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\"Scincidae\",\n \"count\": 19,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Ctenotus taeniolatus\",\n \"commonName\": \"Copper-tailed Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:4fce5374-4678-4b2d-b94e-bb9a49d6ed50\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 71,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Cyclodomorphus michaeli\",\n \"commonName\": \"Mainland She-oak Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:f0f0fcaa-9fe1-475e-b02c-66d5515f19c9\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 10,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Demansia psammophis\",\n \"commonName\": \"Yellow-faced Whip Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:8db9ef9c-02e2-48bd-a35a-54eaf2dda4d1\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 46,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Dendrelaphis punctulatus\",\n \"commonName\": \"Common Tree Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:9d5fc56b-ffb4-4af3-b53b-895300bcb562\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Colubridae\",\n \"count\": 109,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Denisonia devisi\",\n \"commonName\": \"De Vis' Banded Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:c9b85505-59d1-4d41-a105-088a3c3b48ec\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Dermochelys coriacea\",\n \"commonName\": \"leatherback turtle\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:9b31383c-4745-4b8f-a3bd-8b9e91619e47\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Dermochelyidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Diplodactylus vittatus\",\n \"commonName\": \"Wood Gecko\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:00a94dc7-fc59-4396-afe8-aecdf26389e2\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Diplodactylidae\",\n \"count\": 19,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Drysdalia rhodogaster\",\n \"commonName\": \"Mustard-bellied Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:430e2114-0015-45ea-85c3-84da5fa86d7c\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Egernia cunninghami\",\n \"commonName\": \"Cunningham's Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:d7fd5a96-f5a0-4f59-b138-39ce55c962b2\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 4,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Emydura macquarii macquarii\",\n \"commonName\": \"Macquarie River Turtle\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:1934feb2-8fdb-4c68-9842-92ee35ebea83\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Chelidae\",\n \"count\": 2,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Emydura macquarii\",\n \"commonName\": \"Murray Turtle\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:39c22a1e-e7fa-408a-b7e8-f9a2001889fb\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Chelidae\",\n \"count\": 7,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Eulamprus heatwolei\",\n \"commonName\": \"Yellow-bellied Water-skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:1df8a2c5-288f-4160-ab01-aa94b18f2db3\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Eulamprus quoyii\",\n \"commonName\": \"Eastern Water-skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:417895d7-610a-4255-b1fd-60a55e39c1dc\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 92,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Furina diadema\",\n \"commonName\": \"Red-naped Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:49c7d85d-cce3-4142-9e26-2a25389719d5\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 13,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Gehyra variegata\",\n \"commonName\": \"Tree Dtella\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:dc717b44-53a0-47cb-ae4f-2dad5a6b121a\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Gekkonidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Hemiaspis signata\",\n \"commonName\": \"Black-bellied Swamp Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:262f7502-2068-4fc1-8fb5-2e2a0897f108\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 22,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Hemidactylus frenatus\",\n \"commonName\": \"House Gecko\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:c892d094-5850-4a8e-8c04-259c3b1f97eb\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Gekkonidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Hydrophiinae\",\n \"commonName\": \"\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:649a61cc-ab38-4d4d-ad72-5c4f726014c4\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SUBFAMILY\"\n },\n {\n \"name\": \"Hydrophis elegans\",\n \"commonName\": \"Elegant Seasnake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:dfecb25d-bddb-494d-887b-c7c02fcc26e5\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Hydrophis ornatus\",\n \"commonName\": \"\",\n \"guid\": \"39125028\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Hydrophis platurus platurus\",\n \"commonName\": \"Yellow-bellied Seasnake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:33faf4c3-12ec-4978-8cca-5189c470f0cf\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 17,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Intellagama lesueurii lesueurii\",\n \"commonName\": \"Water Dragon\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:7323b837-9f65-422c-a209-c250ab27f165\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Agamidae\",\n \"count\": 275,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Intellagama lesueurii\",\n \"commonName\": \"Water Dragon\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:90be1d02-4bf4-478f-976d-25c04395d1f8\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Agamidae\",\n \"count\": 489,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Lampropholis delicata\",\n \"commonName\": \"Dark-flecked Garden Sunskink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:82f18b82-bc29-4847-83bc-eb94f72843ae\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 184,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Lampropholis guichenoti\",\n \"commonName\": \"Pale-flecked Garden Sunskink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:44f8629d-8ed7-447a-8657-b628b24added\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 233,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Laticauda colubrina\",\n \"commonName\": \"yellow-lipped sea krait\",\n \"guid\": \"NZOR-6-39751\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Lialis burtonis\",\n \"commonName\": \"Burton's Snake-lizard\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:b17388f8-4468-4a91-b434-659bf3739561\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pygopodidae\",\n \"count\": 35,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Liasis olivaceus\",\n \"commonName\": \"Olive Python\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:d5e32dea-64c1-4f26-a3b3-65fe1955bd30\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pythonidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Liopholis whitii\",\n \"commonName\": \"White's Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:ae2be63c-f203-4545-9c9d-568e157bece4\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 19,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Morelia spilota cheynei\",\n \"commonName\": \"\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:285151af-f7ff-4498-80ae-78f1d40a8d19\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pythonidae\",\n \"count\": 3,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Morelia spilota mcdowelli\",\n \"commonName\": \"\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:14485c2f-3a3c-4cb8-b67d-442cf276c9eb\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pythonidae\",\n \"count\": 15,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Morelia spilota spilota\",\n \"commonName\": \"Diamond Python\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:8ee87cd8-b82b-45d1-aa78-a1a6f4843f26\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pythonidae\",\n \"count\": 31,\n \"rank\": \"SUBSPECIES\"\n },\n {\n \"name\": \"Morelia spilota\",\n \"commonName\": \"Carpet Python\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:8abc16cd-d2b6-43e7-853e-0275a2ed7697\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pythonidae\",\n \"count\": 62,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Natator depressus\",\n \"commonName\": \"Flatback Turtle\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:10df901b-8003-42bf-9885-7700f6ff9a88\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Cheloniidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Notechis scutatus\",\n \"commonName\": \"Tiger Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:e78638d0-c72d-458d-84b2-6a90772372e1\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 14,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Parasuta dwyeri\",\n \"commonName\": \"Dwyer's Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:0bd31b46-95e6-4ad0-92a5-036d8584347c\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Phyllurus platurus\",\n \"commonName\": \"Broad-tailed Gecko\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:49e64beb-a215-446b-9d8f-b551f00e72af\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Carphodactylidae\",\n \"count\": 155,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pogona barbata\",\n \"commonName\": \"Bearded Dragon\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:25b7606b-0b61-4f2d-967e-9c5c210fe332\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Agamidae\",\n \"count\": 44,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pogona vitticeps\",\n \"commonName\": \"Central Bearded Dragon\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:723cb684-9e70-4618-aafd-0afad3d4501e\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Agamidae\",\n \"count\": 3,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pseudechis guttatus\",\n \"commonName\": \"Spotted Black Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:010733e0-f93c-4b6c-88fa-bbd1c7e7daba\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pseudechis porphyriacus\",\n \"commonName\": \"Red-bellied Black Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:c1d2d6c3-1123-4461-8c07-3254ea76f391\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 163,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pseudemoia entrecasteauxii\",\n \"commonName\": \"Tussock Cool-skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:1533ed80-cb92-45e0-bda1-1801f995fcf7\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pseudemoia spenceri\",\n \"commonName\": \"Trunk-climbing Cool-skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:c0361aab-cbb2-4aad-a283-3df26fdaeb43\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 1,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pseudonaja textilis\",\n \"commonName\": \"Eastern Brown Snake\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:e1224c2e-df79-4e9d-ba8d-99eef15a44e5\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Elapidae\",\n \"count\": 42,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pygopus lepidopodus\",\n \"commonName\": \"Common Scaly-foot\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:dd83edf0-d583-44aa-a16f-d9675e43558f\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pygopodidae\",\n \"count\": 41,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Pygopus schraderi\",\n \"commonName\": \"Eastern Hooded Scaly-foot\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:986c5792-cad9-4ae6-b65c-5343573cd8b2\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Pygopodidae\",\n \"count\": 2,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Rankinia diemensis\",\n \"commonName\": \"Mountain Dragon\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:73375100-0957-49a5-94e8-ec0599a60dd0\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Agamidae\",\n \"count\": 18,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Saiphos equalis\",\n \"commonName\": \"Three-toed Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:37636e2e-3e48-49df-9b19-fcf4e5e93712\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 187,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Saltuarius swaini\",\n \"commonName\": \"Southern Leaf-tailed Gecko\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:87c684fb-8b13-4c76-8811-0913bdd1dade\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Carphodactylidae\",\n \"count\": 16,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Saproscincus mustelinus\",\n \"commonName\": \"Weasel Skink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:0f7abf35-bf5c-4184-a10f-3567e4e82f55\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 36,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Saproscincus spectabilis\",\n \"commonName\": \"Pale-lipped Shadeskink\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:b2be1f10-9b2f-46fb-bc9b-31895228d6bf\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 73,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Tiliqua nigrolutea\",\n \"commonName\": \"Blotched Blue-tongue\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:3111cb04-bfc8-42b1-81d5-b84eee4a0ca3\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n \"count\": 3,\n \"rank\": \"SPECIES\"\n },\n {\n \"name\": \"Tiliqua occipitalis\",\n \"commonName\": \"Western Blue-tongue\",\n \"guid\": \"urn:lsid:biodiversity.org.au:afd.taxon:1a267044-0be0-484d-918d-9ffd914355df\",\n \"kingdom\": \"Animalia\",\n \"family\": \"Scincidae\",\n 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Albury, New South Wales\",\n \"licence_level\": \"0\",\n \"source\": \"www.dpi.nsw.gov.au/biosecurity/plant \",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Phylloxera Infection Zone \",\n \"pid\": \"964\",\n \"displayname\": \"Phylloxera Infection Zone - Upton, Victoria\",\n \"id\": 964,\n \"grid\": false,\n \"path_orig\": \"layer/phylloxera_upton\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 145.33809,\n \"maxlatitude\": -36.85509,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 145.44076,\n \"dt_added\": 1333375200000,\n \"minlatitude\": -36.96386,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_upton&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"phylloxera_upton\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact:\\r\\nCopyright.Services@dpi.vic.gov.au\\r\\n\",\n \"keywords\": \"sds\",\n \"uid\": \"964\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. 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\"domain\": \"Marine\",\n \"description\": \"FAO Fishing areas (Marine)\",\n \"licence_level\": \"2\",\n \"source\": \"http://www.fao.org/geonetwork/srv/en/main.home?uuid=ac02a460-da52-11dc-9d70-0017f293bd28\",\n \"citation_date\": \"2008-02-15\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/psma-administrative-boundaries\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"PSMA Commonwealth Electoral Boundaries (2016)\",\n \"id\": 10874,\n \"grid\": false,\n \"path_orig\": \"layer/psma_electoral\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": 96.81677,\n \"maxlatitude\": -9.14218,\n \"licence_link\": \"https://creativecommons.org/licenses/by/4.0/\",\n \"mddatest\": \"2016-05-01\",\n \"maxlongitude\": 159.10922,\n \"dt_added\": 1469541600000,\n \"minlatitude\": -43.74051,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:psma_electoral&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"psma_electoral\",\n \"metadatapath\": \"https://data.gov.au/dataset/psma-administrative-boundaries\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"psma, electoral boundaries, commonwealth\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-4.0\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"\",\n \"licence_level\": \"1\",\n \"source\": \"PSMA Australia Limited\",\n \"citation_date\": \"2016-05-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://people.duke.edu/~mej14/MARSPEC/Modern_Data.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Marspec Distance to Shore\",\n \"id\": 2092,\n \"grid\": true,\n \"path_orig\": \"layer/marspec_05\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://esapubs.org/archive/ecol/E094/086/metadata.php\",\n \"mddatest\": \"2012-08\",\n \"maxlongitude\": 180,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:marspec_05&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"marspec_05\",\n \"metadatapath\": \"http://esapubs.org/archive/ecol/E094/086/metadata.php\",\n \"type\": \"Environmental\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"2092\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"2781\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"km\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"Marspec Distance to Shore in kms\",\n \"licence_level\": \"3\",\n \"source\": \"http://www.marspec.org/\",\n \"citation_date\": \"2012-08\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MOD15A2+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"fPAR\",\n \"pid\": \"\",\n \"displayname\": \"Fraction of Photosynthetically Active Radiation (fPAR)\",\n \"id\": 1080,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_fpar\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.0047,\n \"maxlatitude\": -10.0047,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.98714,\n \"dt_added\": 1370268000000,\n \"minlatitude\": -44.98582,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_fpar&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_fpar\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=e9804ceb-ce99-4ffc-99ba-374b2d1f471b\",\n \"type\": \"Environmental\",\n \"notes\": \"The LAI variable defines the number of equivalent layers of leaves relative to a unit of ground area, whereas FPAR measures the proportion of available radiation in the photosynthetically active wavelengths that are absorbed by a canopy. Both variables are used as satellite-derived parameters for calculating surface photosynthesis, evapotranspiration, and net primary production, which in turn are used to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mod15a2).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature.\",\n \"keywords\": \"temperature, precipitation\",\n \"uid\": \"1080\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"100\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Fraction of Photosynthetically Active Radiation (fPar) in the spectral range 400-700nm used by plants for photosynthesis - 2012-03-05\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"environmentalvaluemin\": \"7.836667\",\n \"shape\": false,\n \"respparty_role\": \"author\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"2030A1BMk35M: Temperature - annual max mean\",\n \"id\": 1006,\n \"grid\": true,\n \"path_orig\": \"layer/2030A1BMk35M_maxtm\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"maxlongitude\": 153.64,\n \"dt_added\": 1340114400000,\n \"minlatitude\": -43.8,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:2030A1BMk35M_maxtm&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"2030A1BMk35M_maxtm\",\n \"metadatapath\": \"https://wiki.csiro.au/confluence/display/ozclim/Science\",\n \"type\": \"Environmental\",\n \"notes\": \"The annual mean temperature of any monthly maximum temperature\",\n \"keywords\": \"GDM-Ready, 2030-centred\",\n \"uid\": \"1006\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"37.625835\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual maximum temperature (°C) - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/Fractional+Cover+MODIS+CLW\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Fractional Cover - Bare Soil (2012-03-05)\",\n \"id\": 1072,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_fractional_cover_bs\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110,\n \"maxlatitude\": -10,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 155.00133,\n \"dt_added\": 1370181600000,\n \"minlatitude\": -45.00051,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_fractional_cover_bs&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_fractional_cover_bs\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=d478e7a1-9888-4942-a306-3c5015c3585a\",\n \"type\": \"Environmental\",\n \"notes\": \"Data are MODIS NBAR-derived 16-days fractional cover of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS). Fractional cover represents the exposed proportion of PV, NPV or BS within each pixel. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil.\",\n \"keywords\": \"PAR\",\n \"uid\": \"1072\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"100\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"% Bare Soil\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Fractional Cover - Bare Soil (2012-03-05)\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Euclidean Distance to Coast (metres)\",\n \"id\": 2016,\n \"grid\": true,\n \"path_orig\": \"layer/dist_coast_me\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": -7.94249,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2013-03-08\",\n \"maxlongitude\": 179.99374,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -48.15334,\n \"scale\": \"30km tolerance\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:dist_coast_me&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"dist_coast_me\",\n \"metadatapath\": \"http://www.ga.gov.au/meta/ANZCW0703015095.html\",\n \"type\": \"Environmental\",\n \"notes\": \"The dataset represents the direct distance from any location to the nearest part of the Australian\\r\\ncoast line. The distance unit is metres.\",\n \"keywords\": \"terrestrial, marine, distance, coast\",\n \"uid\": \"2016\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"3824933.5\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"Euclidean Distance to Coast (metres)\",\n \"licence_level\": \"3\",\n \"source\": \"GA\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MOD15A2+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Leaf Area Index (LAI) - 2012-03-05\",\n \"id\": 1081,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_lai\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.0047,\n \"maxlatitude\": -10.0047,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.98714,\n \"dt_added\": 1370268000000,\n \"minlatitude\": -44.98582,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_lai&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_lai\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=e9804ceb-ce99-4ffc-99ba-374b2d1f471b\",\n \"type\": \"Environmental\",\n \"notes\": \"The LAI variable defines the number of equivalent layers of leaves relative to a unit of ground area, whereas FPAR measures the proportion of available radiation in the photosynthetically active wavelengths that are absorbed by a canopy. Both variables are used as satellite-derived parameters for calculating surface photosynthesis, evapotranspiration, and net primary production, which in turn are used to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mod15a2).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature.\",\n \"keywords\": \"\",\n \"uid\": \"1081\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"7\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"m^2 plant / m^2 ground\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Leaf Area Index (LAI) - 2012-03-05\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MOD13Q1+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"-0.200000002980232\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Enhanced Vegetation Index (2012-03-05)\",\n \"id\": 1079,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_evi\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.00117,\n \"maxlatitude\": -10.00117,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.99623,\n \"dt_added\": 1370268000000,\n \"minlatitude\": -44.9968,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_evi&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_evi\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=978f2f47-087b-4c79-a5fc-e4f432926341\",\n \"type\": \"Environmental\",\n \"notes\": \"Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Enhanced Vegetation Index (EVI) minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mod13q1).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature.\",\n \"keywords\": \"\",\n \"uid\": \"1079\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"1\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"EVI\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Enhanced Vegetation Index (2012-03-05)\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=71989\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"Geomorphology of the Australian Margin and adjacent seafloor\",\n \"id\": 991,\n \"grid\": false,\n \"path_orig\": \"layer/geo_feature\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 93.41232,\n \"maxlatitude\": -8.47325,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2012-05-14\",\n \"maxlongitude\": 171.80232,\n \"dt_added\": 1337090400000,\n \"minlatitude\": -60.92325,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:geo_feature&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"geo_feature\",\n \"metadatapath\": \"https://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=71989\",\n \"type\": \"Contextual\",\n \"notes\": \"The geomorphic features of the seafloor in the Australian Marine Jurisdiction were identified using the Australian Bathymetry and Topography dataset (Webster & Petkovic 2005). Twenty one feature types were identified and mapped for an area including the seafloor surrounding the Australian mainland and island territories of Christmas, Cocos (Keeling), Macquarie, and Norfolk Islands (Heap & Harris 2008). Some examples of these geomorphic features include: abyssal plains, trenches, canyons, and seamounts.\",\n \"keywords\": \"reef, shoal, bank, slope, basin, trench, shelf\",\n \"uid\": \"991\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"Geomorphology of the Australian Margin and adjacent seafloor\",\n \"licence_level\": \"3\",\n \"source\": \"GA\",\n \"citation_date\": \"2011-08-23\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MOD13Q1+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"-0.200000002980232\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Normalized Difference Vegetation Index (2012-03-05)\",\n \"id\": 1078,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_ndvi\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.00117,\n \"maxlatitude\": -10.00117,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.99883,\n \"dt_added\": 1370268000000,\n \"minlatitude\": -44.99883,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_ndvi&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_ndvi\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=978f2f47-087b-4c79-a5fc-e4f432926341\",\n \"type\": \"Environmental\",\n \"notes\": \"Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Enhanced Vegetation Index (EVI) minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mod13q1).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature.\",\n \"keywords\": \"\",\n \"uid\": \"1078\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"0.99940001964569\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"NDVI\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Normalized Difference Vegetation Index (2012-03-05)\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MOD17A2+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Gross Primary Productivity (2012-03-13)\",\n \"id\": 1077,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_gpp\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.0047,\n \"maxlatitude\": -10.0047,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.98714,\n \"dt_added\": 1370268000000,\n \"minlatitude\": -44.98582,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_gpp&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_gpp\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=98917a34-cbeb-4a20-bf08-282e49f7cca8\",\n \"type\": \"Environmental\",\n \"notes\": \"The Terra/MODIS Gross Primary Productivity (GPP) product (MOD17A2) is a cumulative composite of GPP values based on the radiation-use efficiency concept that is potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mod17a2).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature\",\n \"keywords\": \"\",\n \"uid\": \"1077\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"0.0819000005722045\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"kg C/m^2\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Gross Primary Productivity (2012-03-13)\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/Fractional+Cover+MODIS+CLW\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Fractional Cover - Non-persistent Vegetation (2012-03-05)\",\n \"id\": 1074,\n \"grid\": true,\n \"path_orig\": \"layer/auscover_fractional_cover_npv\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110,\n \"maxlatitude\": -10,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 155.00133,\n \"dt_added\": 1370181600000,\n \"minlatitude\": -45.00051,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_fractional_cover_npv&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"auscover_fractional_cover_npv\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=d478e7a1-9888-4942-a306-3c5015c3585a\",\n \"type\": \"Environmental\",\n \"notes\": \"Data are MODIS NBAR-derived 16-days fractional cover of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS). Fractional cover represents the exposed proportion of PV, NPV or BS within each pixel. 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Please follow link to further instructions outlined in metadata record.\",\n \"environmentalvaluemax\": \"99\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"IBRA 6 sub regions\",\n \"licence_level\": \"1\",\n \"source\": \"DSEWPaC\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"S2S Priority Area Billabong Creek v01\",\n \"id\": 910,\n \"grid\": false,\n \"path_orig\": \"layer/ger_s2s_priority_area_billabong_creek_v01\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 146.89583,\n \"maxlatitude\": -35.58691,\n \"licence_link\": \"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 147.5312,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -35.69409,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_s2s_priority_area_billabong_creek_v01&format=image/png&styles=\",\n \"path\": \"/data/ala/shapefiles/ger\",\n \"name\": \"ger_s2s_priority_area_billabong_creek_v01\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"GER Slopes to Summit Partnership priority area (Billabong Creek). 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Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"0.766447\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Spring or autumn rainfall season - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"S2S Priority Areas v05\",\n \"id\": 911,\n \"grid\": false,\n \"path_orig\": \"layer/ger_s2s_priority_areas_v05\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 146.66861,\n \"maxlatitude\": -35.47128,\n \"licence_link\": \"http://www.greateasternranges.org.au/contact-us/project-director-rob-dunn-great-eastern-ranges-enquiries\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 148.21198,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -36.08883,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_s2s_priority_areas_v05&format=image/png&styles=\",\n \"path\": \"/data/ala/shapefiles/ger\",\n \"name\": \"ger_s2s_priority_areas_v05\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"GER Slopes to Summit Partnership priority areas. 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Please contact GER Initiative.\",\n \"environmentalvaluemax\": \"99\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"ger s2s priority areas\",\n \"licence_level\": \"1\",\n \"source\": \"GER\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Endemism\",\n \"id\": 1055,\n \"grid\": true,\n \"path_orig\": \"layer/endemism\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 180,\n \"dt_added\": 1438869600000,\n \"minlatitude\": -90,\n \"scale\": \"0.1 degree\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:endemism&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"endemism\",\n \"metadatapath\": \"http://www.ala.org.au/\",\n \"type\": \"Environmental\",\n \"notes\": \"Endemism\",\n \"keywords\": \"diversity, occurrence, sample, average\",\n \"uid\": \"2001\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"1\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Endemism based on Crisp, M.D., Laffan, S., Linder, H.P. and Monro, A (2001). Endemism in the Australian Flora. Journal of Biogeography 28, 183-198.\",\n \"licence_level\": \"0\",\n \"source\": \"ALA-SPATIAL\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Endemism (Non-marine)\",\n \"id\": 1056,\n \"grid\": true,\n \"path_orig\": \"layer/endemism_non_marine\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 180,\n \"dt_added\": 1438869600000,\n \"minlatitude\": -90,\n \"scale\": \"0.1 degree\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:endemism_non_marine&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"endemism_non_marine\",\n \"metadatapath\": \"http://www.ala.org.au/\",\n \"type\": \"Environmental\",\n \"notes\": \"Endemism - non marine data only\",\n \"keywords\": \"diversity, occurrence, sample, average\",\n \"uid\": \"2001\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"1\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Endemism (Non-marine) based on Crisp, M.D., Laffan, S., Linder, H.P. and Monro, A (2001). Endemism in the Australian Flora. Journal of Biogeography 28, 183-198.\",\n \"licence_level\": \"0\",\n \"source\": \"ALA-SPATIAL\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"respparty_role\": \"author\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"2030A1BMk35M: Precipitation - driest month\",\n \"id\": 1019,\n \"grid\": true,\n \"path_orig\": \"layer/2030A1BMk35M_raini\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"maxlongitude\": 153.64,\n \"dt_added\": 1340114400000,\n \"minlatitude\": -43.8,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:2030A1BMk35M_raini&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"2030A1BMk35M_raini\",\n \"metadatapath\": \"https://wiki.csiro.au/confluence/display/ozclim/Science\",\n \"type\": \"Environmental\",\n \"notes\": \"The precipitation of the driest month (the minimum rainfall of any monthly rainfall)\",\n \"keywords\": \"rain, GDM-Ready, 2030-centred\",\n \"uid\": \"1019\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"148.070007\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of the driest month (mm) - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"environmentalvaluemin\": \"7.094038\",\n \"shape\": false,\n \"respparty_role\": \"author\",\n \"classification2\": \"Moisture\",\n \"displayname\": \"2030A1BMk35M: Water stress index - month max\",\n \"id\": 1013,\n \"grid\": true,\n \"path_orig\": \"layer/2030A1BMk35M_pwat_max\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"maxlongitude\": 153.64,\n \"dt_added\": 1340114400000,\n \"minlatitude\": -43.8,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:2030A1BMk35M_pwat_max&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"2030A1BMk35M_pwat_max\",\n \"metadatapath\": \"https://wiki.csiro.au/confluence/display/ozclim/Science\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly water stress is the percentage of actual to potential evapotranspiration. Adapted from the index by (Hackett 1988). Actual evapotranspiration is an output of a water balance model, and potential evapotranspiration is the pan evaporation (free-water surface) adjusted by the coefficient of potential evapotranspiration (PETCF). A constant PETCF value of 0.9 was used for all months which assumes constant leaf area index.\",\n \"keywords\": \"evaporation, water, soil, rain, crop factor, GDM-Ready, 2030-centred\",\n \"uid\": \"1013\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"81\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum month soil water stress index - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"environmentalvaluemin\": \"1.079167\",\n \"shape\": false,\n \"respparty_role\": \"author\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"2030A1BMk35M: Temperature - annual min mean\",\n \"id\": 1011,\n \"grid\": true,\n \"path_orig\": \"layer/2030A1BMk35M_mintm\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"maxlongitude\": 153.64,\n \"dt_added\": 1340114400000,\n \"minlatitude\": -43.8,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:2030A1BMk35M_mintm&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"2030A1BMk35M_mintm\",\n \"metadatapath\": \"https://wiki.csiro.au/confluence/display/ozclim/Science\",\n \"type\": \"Environmental\",\n \"notes\": \"The annual mean temperature of the coldest month (the minimum temperature of any monthly minimum temperature)\",\n \"keywords\": \"GDM-Ready, 2030-centred\",\n \"uid\": \"1011\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"25.594999\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual minimum temperature (°C) - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Phylloxera Infection Zone\",\n \"pid\": \"965\",\n \"displayname\": \"Phylloxera Infection Zone - Whitebridge, Victoria\",\n \"id\": 965,\n \"grid\": false,\n \"path_orig\": \"layer/phylloxera_whitebridge\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 144.62157,\n \"maxlatitude\": -37.25422,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 144.71973,\n \"dt_added\": 1333375200000,\n \"minlatitude\": -37.33204,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_whitebridge&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"phylloxera_whitebridge\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact:\\r\\nCopyright.Services@dpi.vic.gov.au\",\n \"keywords\": \"sds\",\n \"uid\": \"965\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Phylloxera Infection Zone - Whitebridge, Victoria\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.dpi.vic.gov.au/\",\n \"citation_date\": \"2009\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"environmentalvaluemin\": \"0.041875\",\n \"shape\": false,\n \"respparty_role\": \"author\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"2030A1BMk35M: Aridity index - annual mean\",\n \"id\": 996,\n \"grid\": true,\n \"path_orig\": \"layer/2030A1BMk35M_arid_mean\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"maxlongitude\": 153.64,\n \"dt_added\": 1340114400000,\n \"minlatitude\": -43.8,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:2030A1BMk35M_arid_mean&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"2030A1BMk35M_arid_mean\",\n \"metadatapath\": \"https://wiki.csiro.au/confluence/display/ozclim/Science\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly ratio of precipitation to potential evaporation (pan, free-water surface). A numerical indicator of the degree of dryness of the climate at a given location. Adapted from the index proposed by UNEP (1992; cited in Middleton and Thomas (1997)).\",\n \"keywords\": \"evaporation, rain, precipitation, GDM-Ready, 2030-centred\",\n \"uid\": \"996\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"7.548838\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual aridity index - future climate scenario for 2030 A1B emissions CSIRO Mk3.5 GCM medium climatic sensitivity - OZCLIM + ANUCLIMv5.1\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.agriculture.gov.au/abares/forestsaustralia/publications/display?url=http://143.188.17.20/anrdl/DAFFService/display.php?fid=pb_foa13g9abfs20160525_11a.xml\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0.0\",\n \"shape\": true,\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"displayname\": \"Forests of Australia (2013) v2.0\",\n \"id\": 10902,\n \"grid\": false,\n \"path_orig\": \"layer/forests_australia_2013_v2\",\n \"minlongitude\": 109.49189,\n \"maxlatitude\": -8.19553,\n \"licence_link\": \"https://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2016-05-25\",\n \"maxlongitude\": 157.22993,\n \"dt_added\": 1482361519856,\n \"minlatitude\": -44.37462,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:forests_australia_2013_v2&format=image/png&styles=\",\n \"name\": \"forests_australia_2013_v2\",\n \"metadatapath\": \"http://data.daff.gov.au/anrdl/metadata_files/pb_foa13g9abfs20160525_11a.xml\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"forest, australia\",\n \"uid\": \"10902\",\n \"licence_notes\": \"CC-BY-3.0-Australia\",\n \"environmentalvaluemax\": \"0.0\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Forests of Australia (2013) v2.0 is a continental dataset of forest extent by national forest categories and types. It was developed from multiple forest, vegetation and land cover data inputs, including contributions from relevant Australian, state and territory government agencies and external sources.\\r\\n\\r\\nA forest is defined in this dataset as \\\"An area, incorporating all living and non-living components, that is dominated by trees having usually a single stem and a mature or potentially mature stand height exceeding two metres and with existing or potential crown cover of overstorey strata about equal to or greater than 20 per cent. This includes Australia's diverse native forests and plantations, regardless of age. It is also sufficiently broad to encompass areas of trees that are sometimes described as woodlands\\\".\\r\\n\\r\\nThe dataset was compiled by the National Forest Inventory (NFI) - a collaborative partnership between the Australian and state and territory governments - whose role is to collate, integrate and communicate information on Australia's forests. States and Territories agencies collect forest data using independent methods and at varying scales or resolutions. The NFI, through the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), applies a national classification to state and territory data to allow seamless integration. Independent and multiple sources of external data are used to fill data gaps and improve the quality of the final dataset.\\r\\n\\r\\nForests of Australia (2013) v2.0 presents the new NFI classification with three national forest categories, as reported by the NFI in Australia's State of the Forests Report 2013 (SOFR 2013), and replaces the spatial dataset titled Forests of Australia (2013). The three national forest categories are: Native forest, Industrial plantations and Other forests. The 'Native forest' category has previously been reported by the NFI, however, 'Industrial plantations' and 'Other forests' are new categories for planted forests: 'Industrial plantations', for plantations managed commercially and reported through the National Plantation Inventory (NPI), and 'Other forest' for planted forest not managed commercially or otherwise not reported through the NPI.\\r\\n\\r\\nForests of Australia dataset series are produced to fulfil requirements of the Australia's National Forest Policy Statement (NFPS) and the Regional Forests Agreement (RFA) Act 2002. The dataset is used for domestic and international reporting. \",\n \"licence_level\": \"1\",\n \"source\": \"Department of Agriculture and Water Resources : Australian Bureau of Agricultural and Resource Economics and Sciences\",\n \"citation_date\": \"2016-05-25\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.deepreef.org/bathymetry/65-3dgbr-bathy.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-5625.43212890625\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"Topography\",\n \"pid\": \"\",\n \"displayname\": \"Great Barrier Reef 100m DEM\",\n \"id\": 989,\n \"grid\": true,\n \"path_orig\": \"layer/gbr_gbr100\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 141.99986,\n \"maxlatitude\": -10,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"mddatest\": \"2012-04\",\n \"maxlongitude\": 160.00085,\n \"dt_added\": 1337090400000,\n \"minlatitude\": -29.001,\n \"scale\": \"100m\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:gbr_gbr100&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva\",\n \"name\": \"gbr_gbr100\",\n \"metadatapath\": \"http://www.deepreef.org/publications/reports/67-3dgbr-final-report.html\",\n \"type\": \"Environmental\",\n \"notes\": \"This dataset provides the new high-resolution bathymetry model of the Great Barrier Reef and Coral Sea, called gbr100. The 100 metre-resolution gridded bathymetry dataset covers an area of about 3 million square km, from the Gulf of Papua to northern New South Wales, and easterly into the deep Coral Sea.\",\n \"keywords\": \"topo,depth\",\n \"uid\": \"989\",\n \"licence_notes\": \"Attribution: © www.deepreef.orgLicence: CC-BY-3.0 Creative Commons Attribution 3.0 AustraliaIf using the data for publications, please quote the following reference:Beaman, R.J., 2010. Project 3DGBR: A high-resolution depth model for the Great Barrier Reef and Coral Sea. Marine and Tropical Sciences Research Facility (MTSRF) Project 2.5i.1a Final Report, MTSRF, Cairns, Australia, pp. 13 plus Appendix 1.\",\n \"environmentalvaluemax\": \"2848.18432617187\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"Great Barrier Reef 100m DEM\",\n \"licence_level\": \"3\",\n \"source\": \"Deepreef Explorer\",\n \"citation_date\": \"2010-08\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-9998.998046875\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Chemistry\",\n \"displayname\": \"Carbon - organic\",\n \"id\": 665,\n \"grid\": true,\n \"path_orig\": \"layer/soil_carbon\",\n \"minlongitude\": 109.503,\n \"maxlatitude\": -8.19402,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.28139,\n \"dt_added\": 1334498400000,\n \"minlatitude\": -44.37221,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:soil_carbon&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Soil/soil_carbon.tif\",\n \"name\": \"soil_carbon\",\n \"metadatapath\": \"http://adl.brs.gov.au/anrdl/php/full.php?fileidentifier=http://adl.brs.gov.au/findit/metadata_files/pa_masocr9cl__01111a00.xml\",\n \"type\": \"Environmental\",\n \"notes\": \"Modelled mean store of soil organic carbon (kg of carbon per hectare) being added annually to the A horizon + the B horizon for 1998 using the BiosEquil model. This model includes current agricultural carbon inputs, of water and nutrients, and agricultural offtakes by product removal. This data represents carbon flux, or expected average carbon accumulation or loss per year. This has been converted to a percentage value.\",\n \"uid\": \"665\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"1579599.5\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Soil organic carbon flux (%)\",\n \"licence_level\": \"2\",\n \"source\": \"ASRIS\",\n \"citation_date\": \"2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-9998.9990234375\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"displayname\": \"Population - density SLA 2006 p/sqkm)\",\n \"id\": 645,\n \"grid\": true,\n \"path_orig\": \"layer/sla_popdens\",\n \"minlongitude\": 109.503,\n \"maxlatitude\": -8.19402,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.28139,\n \"dt_added\": 1334498400000,\n \"minlatitude\": -44.37221,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sla_popdens&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Social/sla_popdens.tif\",\n \"name\": \"sla_popdens\",\n \"metadatapath\": \"http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"type\": \"Environmental\",\n \"notes\": \"Population data extracted from the 2005-06 Population and Housing Census data and attributed to the statistical local area polygon and then rasterised. The population density for a region is calculated by dividing the Estimated Resident Population by the land area to obtain the number of persons per square kilometre. Capital cities have been masked out of this analysis.\",\n \"uid\": \"645\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"41436.671875\",\n \"classification1\": \"Social\",\n \"environmentalvalueunits\": \"people/km^2\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Population density for 2006, by SLA (people per sq km)\",\n \"licence_level\": \"2\",\n \"source\": \"ABS\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Population - density census area 2006 (p/sqkm)\",\n \"id\": 657,\n \"grid\": true,\n \"path_orig\": \"layer/popn_dens06\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.503,\n \"maxlatitude\": -8.19402,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.28139,\n \"dt_added\": 1334498400000,\n \"minlatitude\": -44.37221,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:popn_dens06&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Social/popn_dens06.tif\",\n \"name\": \"popn_dens06\",\n \"metadatapath\": \"http://www.abs.gov.au/Ausstats/abs@.nsf/97adb482c0aba769ca2570460017d0e7/443ab7870d980bf0ca257409001df30d!OpenDocument\",\n \"type\": \"Environmental\",\n \"notes\": \"Population data extracted from the 2005-06 Population and Housing Census data and attributed to the census district polygon and then rasterised. The population density for a region is calculated by dividing the Estimated Resident Population by the land area to obtain the number of persons per square kilometre.\",\n \"keywords\": \"\",\n \"uid\": \"657\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009 The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"14501\",\n \"classification1\": \"Social\",\n \"environmentalvalueunits\": \"people/km^2\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Population density for 2006, by census district (people per sq km)\",\n \"licence_level\": \"2\",\n \"source\": \"MCAS\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/meta/ANZCW0703015076.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Averaged Topographic Relief\",\n \"id\": 957,\n \"grid\": true,\n \"path_orig\": \"layer/relief_ave\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.23348,\n \"maxlatitude\": -8.88364,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2012-01-31\",\n \"maxlongitude\": 163.19348,\n \"dt_added\": 1327928400000,\n \"minlatitude\": -47.19364,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:relief_ave&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"relief_ave\",\n \"metadatapath\": \"http://www.marine.csiro.au/marq/edd_search.Browse_Citation?txtSession=8831\",\n \"type\": \"Environmental\",\n \"notes\": \"\",\n \"keywords\": \"elevation, bathymetry\",\n \"uid\": \"957\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"4280.04150390625\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"metres\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \" This data represents the averaged topographic relief for the Australian continent, the Australian continental shelf, and the Australian continental slope. This dataset is a contribution to the CERF Marine Biodiversity Hub and is hosted temporarily by CMAR on behalf of Geoscience Australia.\",\n \"licence_level\": \"3\",\n \"source\": \"Geoscience Australia\",\n \"citation_date\": \"2011-08-23\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.marine.csiro.au/marq/edd_search.Browse_Citation?txtSession=8876\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"5.90355777740478\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"Sea Surface Temperature - MODIS Terra\",\n \"id\": 955,\n \"grid\": true,\n \"path_orig\": \"layer/mtsst_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 108.22083,\n \"maxlatitude\": -7.94083,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2012-01-12\",\n \"maxlongitude\": 164.22083,\n \"dt_added\": 1326286800000,\n \"minlatitude\": -48.15083,\n \"scale\": \"4km\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mtsst_mean&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"mtsst_mean\",\n \"metadatapath\": \"http://www.marine.csiro.au/marq/edd_search3.xml_extract?txtSession=8876&format=ANZLIC&text=Y\",\n \"type\": \"Environmental\",\n \"notes\": \"This data set contains the MODIS Terra mean sea surface temperature generated from the climatology monthly means; the monthly climatologies represent the mean values for each month across the whole dataset time series. The data are received as monthly composites, with a 4 km resolution, and are constrained to the region between 90E and 180E, and 10N to 60S. The data was sourced from http://modis.gsfc.nasa.gov/. The Moderate Resolution Imaging Spectroradiometer (MODIS) administered by NASA Goddard Space Flight Center, is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data that are being used to derive products ranging from vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans, from a continuous global coverage every 1 to 2 days. The first MODIS instrument was launched on board the Terra satellite in December 1999.\",\n \"keywords\": \"satellite, ocean\",\n \"uid\": \"955\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"29.9152717590332\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"Degrees C\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"MODIS Terra Sea Surface Temperature Mean\",\n \"licence_level\": \"3\",\n \"source\": \"CSIRO Division of Marine and Atmospheric Research\",\n \"citation_date\": \"2008-07-31\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Topographic slope (%)\",\n \"id\": 836,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_slope\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_slope&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/slope.tif\",\n \"name\": \"substrate_slope\",\n \"metadatapath\": \"http://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=27911675-9c02-4dd3-8618-458afa332d2f\",\n \"type\": \"Environmental\",\n \"notes\": \"Mean of the 9 second slope values in each 36 second grid cell (%), computed by Stein (2008). \",\n \"keywords\": \"angle, dip\",\n \"uid\": \"836\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"43.15279\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Terrain slope (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.marine.csiro.au/marq/edd_search.Browse_Citation?txtSession=8878\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.0727527141571044\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Biology\",\n \"pid\": \"\",\n \"displayname\": \"SeaWiFS Chlorophyll Mean\",\n \"id\": 954,\n \"grid\": true,\n \"path_orig\": \"layer/swchlo_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 108.22167,\n \"maxlatitude\": -7.94167,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2011-01-12\",\n \"maxlongitude\": 164.22167,\n \"dt_added\": 1326286800000,\n \"minlatitude\": -48.15167,\n \"scale\": \"4km\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:swchlo_mean&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"swchlo_mean\",\n \"metadatapath\": \"http://www.marine.csiro.au/marq/edd_search3.xml_extract?txtSession=8878&format=ANZLIC&text=Y\",\n \"type\": \"Environmental\",\n \"notes\": \"This data set contains the mean of SeaWiFS chlorophyll generated from the climatology monthly means; the monthly climatologies represent the mean values for each month across the whole dataset time series. Chlorophyll a is a plant pigment which provides a measurement of the biomass (or quantity) of plants. In the water column, it is a measure of the suspended (or planktonic) biomass of single-celled microscopic plants. Chlorophyll is a commonly used measure of water quality. High levels of chlorophyll represent algal blooms. The data are received as monthly composites, with a 4 km resolution, and are constrained to the region between 90E and 180E, and 10N to 60S. The data was sourced from http://oceancolor.gsfc.nasa.gov/SeaWiFS/. \",\n \"keywords\": \"plant, biomass, ocean, productivity\",\n \"uid\": \"954\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"15.9647350311279\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"mg/m^3\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"SeaWiFS Chlorophyll Mean\",\n \"licence_level\": \"3\",\n \"source\": \"CSIRO Division of Marine and Atmospheric Research\",\n \"citation_date\": \"2008-07-31\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Topographic relief\",\n \"id\": 827,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_relief\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_relief&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/relief.tif\",\n \"name\": \"substrate_relief\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=f7cdaa35-6645-47f3-b6d1-cb8c5b68fdc0\",\n \"type\": \"Environmental\",\n \"notes\": \"Range of the 9 second DEM elevation values in each 36 second grid cell (m), computed by Stein (2008). \",\n \"keywords\": \"elevation, height, difference\",\n \"uid\": \"827\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"743.97998\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Terrain relief (metres)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Physics\",\n \"pid\": \"\",\n \"displayname\": \"Soil depth\",\n \"id\": 816,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_soldepth\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_soldepth&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/soldepth.tif\",\n \"name\": \"substrate_soldepth\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=8ea6ee10-27e1-4af3-95f1-8521e35fb83b\",\n \"type\": \"Environmental\",\n \"notes\": \"The weighted average of the solum depth values provided by McKenzie et al. (2000). Note that for PPFs without a B horizon the solum depth was taken as equal to the A horizon depth. Units are m. Derived from Western and McKenzie (2004). Solum refers to the surface and subsoil layers that have undergone the same soil forming conditions. \",\n \"keywords\": \"soil, horizon\",\n \"uid\": \"816\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"2\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Solum depth (surface and subsoil layers) (metres)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Physics\",\n \"pid\": \"\",\n \"displayname\": \"Soil pedality\",\n \"id\": 841,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_pedality\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_pedality&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/pedality.tif\",\n \"name\": \"substrate_pedality\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=0cdc79c1-7c33-4066-9ab9-6b05314ae346\",\n \"type\": \"Environmental\",\n \"notes\": \"Grade of pedality (soil pedal structure) is estimated as single grain (1), massive (2), weak (3), moderate (4), or strong (5). Pedality influences water flow and transport within soils and may influence susceptibility to erosion (Onweremadu et al. 2007; Williams 1992). Derived from McKenzie et al. (2000). This classification does not necessarily reflect an ordered property of the soil. See HPEDALITY for a hydrological scoring of pedality. \",\n \"keywords\": \"soil, structure, porosity, grain\",\n \"uid\": \"841\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"5\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Grade of soil pedal structure (grade)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.000001\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Chemistry\",\n \"pid\": \"\",\n \"displayname\": \"Nutrient status\",\n \"id\": 843,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_nutrients\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_nutrients&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/nutrients.tif\",\n \"name\": \"substrate_nutrients\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=245f01bb-c64c-4416-bc9b-1f09c5528d97\",\n \"type\": \"Environmental\",\n \"notes\": \"Gross nutrient status is a rating defined by McKenzie and Hook (1992) and included with the McKenzie et al. (2000) attributes. The interpretations relate to the behaviour of profiles under agricultural management. Profiles with a low nutrient status (class 1) exhibit major responses to N, P, and K fertilisation along with most micronutrients. Profiles with a moderate nutrient status (class 2) respond to N and P fertilisation with occasional responses to some micronutrients. It is uncommon for profiles with a high nutrient status (class 3) to respond to N and P fertilisation except after intensive farming. The main sources for the McKenzie and Hook (1992) assessment of nutrient status were Stace et al. (1968) and Northcote et al. (1975). \",\n \"keywords\": \"soil, fertility, nitrogen, phosphorus, potassium\",\n \"uid\": \"843\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"3\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"index\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Gross nutrient status (rating)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Moisture\",\n \"pid\": \"\",\n \"displayname\": \"Hydrologic conductivity - average saturated\",\n \"id\": 833,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_ksat\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_ksat&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/ksat.tif\",\n \"name\": \"substrate_ksat\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=9ac35c24-c2ad-4b6a-895b-8f843831c98b\",\n \"type\": \"Environmental\",\n \"notes\": \"The weighted average of median solum horizon saturated hydraulic conductivity (ksat) provided by McKenzie et al. (2000). McKenzie et al. provided classes of median ksat on a logarithmic scale where each class has a range of half an order of magnitude. These classes were converted to actual values of ksat, which were then averaged. The final values were rounded back (in the logarithmic domain) to the same precision as the original classes but are provided in units of mm/h. Derived from Western and McKenzie (2004). Solum average of A and B horizons ksat values are weighted by the depth of each horizon. \",\n \"keywords\": \"soil, permiability, saturation\",\n \"uid\": \"833\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"300\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"mm/h\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Solum average median horizon saturated hydraulic conductivity (mm/h)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.agriculture.gov.au/abares/forestsaustralia/publications/display?url=http://143.188.17.20/anrdl/DAFFService/display.php?fid=pb_foa13g9abfs20160525_11a.xml\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"-2.147434616E9\",\n \"shape\": true,\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"displayname\": \"Tenure of Australia's forests (2013) v2.0\",\n \"id\": 10903,\n \"grid\": false,\n \"path_orig\": \"layer/tenure_australias_forests_2013_v2\",\n \"minlongitude\": 109.49189,\n \"maxlatitude\": -8.19553,\n \"licence_link\": \"https://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2016-06-20\",\n \"maxlongitude\": 157.22993,\n \"dt_added\": 1482361525791,\n \"minlatitude\": -44.37462,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:tenure_australias_forests_2013_v2&format=image/png&styles=\",\n \"name\": \"tenure_australias_forests_2013_v2\",\n \"metadatapath\": \"http://data.daff.gov.au/anrdl/metadata_files/pb_fta13g9abfs20160525_11a.xml\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"forest, australia\",\n \"uid\": \"10903\",\n \"licence_notes\": \"CC-BY-3.0-Australia\",\n \"environmentalvaluemax\": \"2.14742052E9\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Tenure of Australia's forests (2013) v2.0 is a continental dataset of tenure classified into national forest tenure classes: Multiple Use Public Forest, Nature Conservation Reserves, Other Crown Land, Leasehold, Private Freehold and Unresolved Tenure. The dataset combines forest cover with land tenure information.\\r\\n\\r\\nThe forest cover information was sourced from the Forests of Australia (2013) v2.0 dataset, an update of the Forests of Australia (2013) dataset, reclassified in order to align the national forest types and national forest categories of the National Forest Inventory (NFI) forest cover dataset with those reported in Australia's State of the Forests Report 2013 (SOFR 2013).\\r\\n\\r\\nThe land tenure information was sourced from the commercially available Public Sector Mapping Agency (PSMA) CADLite and Tenure datasets, and tenure data obtained from the former Forests NSW (now Forestry Corporation of NSW). The NFI - a collaborative partnership between the Australian and state and territory governments, whose role is to collate, integrate and communicate information on Australia's forests - used information from these sources to compile a national tenure dataset by applying a national classification to the data supplied by the states and territories to allow seamless integration.\\r\\n\\r\\nAs with previous versions, this Tenure of Australia's Forests (2013) v2.0 dataset was produced by combining the NFI land tenure dataset with the most recent Forests of Australia dataset. The only difference between the Tenure of Australia's Forests (2013) and the Tenure of Australia's Forests (2013) v2.0 is that the latter has the updated national forest cover types and new national forest categories. The underlying land tenure data is the same in both versions of the 2013 forest tenure datasets. \",\n \"licence_level\": \"1\",\n \"source\": \"Department of Agriculture and Water Resources : Australian Bureau of Agricultural and Resource Economics and Sciences\",\n \"citation_date\": \"2016-06-20\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.auscover.org.au/xwiki/bin/view/Product+pages/LPDAAC+Mosaics+MCD12Q1+CMAR\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"IGBP Land Cover vegetation classification scheme (2011)\",\n \"id\": 1076,\n \"grid\": false,\n \"path_orig\": \"layer/auscover_land_cover_type\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110.00235,\n \"maxlatitude\": -10.00235,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 154.99448,\n \"dt_added\": 1369922400000,\n \"minlatitude\": -44.9957,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:auscover_land_cover_type&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape_diva/auscover_land_cover_type\",\n \"name\": \"auscover_land_cover_type\",\n \"metadatapath\": \"http://data.auscover.org.au/geonetwork/srv/en/main.home?uuid=9a0f68c9-d928-46a3-b328-d1aede395073\",\n \"type\": \"Contextual\",\n \"notes\": \"The MODIS Land Cover Type product (Short Name: MCD12Q1) provides data characterizing five global land cover classification systems. In addition, it also provides a land cover type assessment, and quality control information. (Text from https://lpdaac.usgs.gov/products/modis_products_table/mcd12q1).\\r\\n\\r\\nData are derived from the MODIS Land Products that are distributed by the LPDAAC as tiles from a global sinusoidal projection. Tiles for selected products for Australia have been downloaded and then mosaiced and remapped using the Modis Reprojection Tool (MRT). The products have been split into individual bands to reduce file size and have been reformatted to ensure consistency in SDS and attribute nomenclature.\",\n \"keywords\": \"\",\n \"uid\": \"1076\",\n \"licence_notes\": \"Creative Commons Attribution (CC BY)\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Land Cover Type - IGBP global vegetation classification scheme (2011)\",\n \"licence_level\": \"3\",\n \"source\": \"AusCover\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.wabsi.org.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Biodiversity\",\n \"pid\": \"\",\n \"displayname\": \"Western Australian Biodiversity Science Research Priority Regions\",\n \"id\": 3,\n \"grid\": false,\n \"path_orig\": \"layer/wabsi_regions\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9215,\n \"maxlatitude\": -13.68923,\n \"licence_link\": \"https://creativecommons.org/licenses/by/4.0\",\n \"mddatest\": \"\",\n \"maxlongitude\": 129.00193,\n \"dt_added\": 1526502094023,\n \"minlatitude\": -35.19398,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wabsi_regions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"wabsi_regions\",\n \"metadatapath\": \"http://www.wabsi.org.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"WABSI, Biodiversity Science, Research Priorities, Western Australia, Restoration Ecology, Invasive Species, Climate Change, Fire, Vegetation Survey, Biodiversity Information, Specie Re-Introduction, ex-situ Conservation\",\n \"uid\": \"3\",\n \"licence_notes\": \" The dataset is published under a Creative Commons dataset, noting that the regions were derived from the Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Users must attribute the Australian Government Department of the Environment and Energy as the data provider) except for the South-West Region which is based on the Wheatbelt of WA (clearing line) (Users must attribute the Western Australian Department of Primary Industries and Regional Development as the data provider). Both datasets are licensed under the Creative Commons Attribution Licence (CC BY). Regions prepared by Wheatbelt Research Services for the Western Australian Biodiversity Science Institute.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Land Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"The Western Australian Biodiversity Science Research Priority Regions outlines the regions that underpin the Research Plan published by the Western Australian Biodiversity Science Institute (WABSI). The purpose of the Research Plan is to identify key biodiversity research priorities within Western Australia, by regions, and the process through which a comprehensive program of research will be further developed to better-address those priorities. The Research Plan is focused on supporting the needs of end users including: business and industrial interests such as the mineral resources sector and urban developers, land managers; conservation managers, government agencies, regulators, consultants, researchers and other science leaders.\\r\\n \\r\\nTwo outcomes are envisioned:\\r\\n \\r\\nBiodiversity conservation — More effective and efficient strategies for setting priorities, managing and conserving Western Australia’s biodiversity.\\r\\n \\r\\nFacilitation of sustainable development — More effective, transparent, efficient and timely processes for environmental assessment, regulation and management. This will reduce risk to developers\\r\\n \\r\\nThe Research Priority Regions reflect a requirement to have all science undertaken through WABSI linked to a program of activity that is targeted at a geographic area of the State, recognising research issues at the single region, multiple region and state scale. The focus on regions will assist in achieving the required integration between end users and each of the interrelated research nodes.\\r\\n \\r\\nWABSI Research Priority Regions are based on the Interim Biogeographic Regionalisation for Australia (IBRA), version 7, except for the South-West Region which is based on the Wheatbelt of WA (clearing line) (note relevant licensing acknowledgement below).\",\n \"licence_level\": \"3\",\n \"source\": \"Western Australian Biodiversity Science Institute\",\n \"citation_date\": \"20180130\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"displayname\": \"Distance - to permanent water (weighted)\",\n \"id\": 830,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_distpermwat\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_distpermwat&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/distpermwat.tif\",\n \"name\": \"substrate_distpermwat\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=2eeeda48-7465-40ee-a2ec-c44f2421d195\",\n \"type\": \"Environmental\",\n \"notes\": \"Euclidean distance (in geographic degrees) to permanent (natural) water features weighted by minor/major waterbody or watercourse (Geoscience Australia 2006). Major water features were given a weight value of 3. Minor water features were given a weight value of 1. Both weights were multiplied by 3 for permanent water features \",\n \"uid\": \"830\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"4.094411\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"km\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Weighted distance to permanent water features (index)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Distance - to non-permanent water (weighted)\",\n \"id\": 820,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_distnonpermw\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_distnonpermw&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/distnonpermw.tif\",\n \"name\": \"substrate_distnonpermw\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=d7921b30-16c6-4894-9552-3ac5ac67d92b\",\n \"type\": \"Environmental\",\n \"notes\": \"Euclidean distance (in geographic degrees) to non-permanent (natural) water features weighted by minor/major waterbody or watercourse (Geoscience Australia 2006). Major water features were given a weight value of 3. Minor water features were given a weight value of 1. Both weights were multiplied by 1 for non-permanent water features. \",\n \"keywords\": \"\",\n \"uid\": \"820\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"3.591239\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"degrees\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Weighted distance to non-permanent water features (index)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Distance - to any water (weighted)\",\n \"id\": 810,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_distanywater\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_distanywater&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/distanywater.tif\",\n \"name\": \"substrate_distanywater\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=b9a1150d-9627-449e-9629-7cda5c91bf94\",\n \"type\": \"Environmental\",\n \"notes\": \"Euclidean distance (in geographic degrees) to any (natural) water feature weighted by minor/major waterbody or watercourse (Geoscience Australia 2006). Major water features were given a weight value of 3. Minor water features were given a weight value of 1. Weights were multiplied by 1 for non-permanent water features or by 3 for permanent water features. \",\n \"keywords\": \"\",\n \"uid\": \"810\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"2.254994\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"degrees\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Weighted distance to any water features (index)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"3.188679\",\n \"shape\": false,\n \"classification2\": \"Physics\",\n \"displayname\": \"Clay %\",\n \"id\": 814,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_clay\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_clay&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/clay.tif\",\n \"name\": \"substrate_clay\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=bde087ca-6e00-42c5-a64b-abecfe44ee69\",\n \"type\": \"Environmental\",\n \"notes\": \"Estimated median percentage clay content of estimated soil texture. The estimated clay contents for 6 texture groups by McDonald et al. (1990) were used as a guide: interpreted values were increased or decreased depending on the type of soil within a group. Derived from McKenzie et al. (2000). The solum average clay content is the A and B horizon estimates weighted by the depth of each horizon. \",\n \"keywords\": \"soil, grain\",\n \"uid\": \"814\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"68.823532\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Solum average median clay content (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.552941\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Physics\",\n \"pid\": \"\",\n \"displayname\": \"Bulk density\",\n \"id\": 806,\n \"grid\": true,\n \"path_orig\": \"layer/substrate_bdensity\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1323003600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:substrate_bdensity&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams-substrate/ARC/bdensity.tif\",\n \"name\": \"substrate_bdensity\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=734040a0-4823-4116-8e99-6746165a19ad\",\n \"type\": \"Environmental\",\n \"notes\": \"Bulk density is a measure of a soils mass per unit volume of soil and depends on the mineral composition of the soil and degree of compaction. Uncertainty in bulk density estimates will be greater than for texture as data are not available for many groups of soils. Bulk density is inversely related soil porosity: the more pore space in a soil the lower the value for bulk density. Soils high in organics and some friable clay may have a lower bulk density. Derived from McKenzie et al. (2000). The solum average bulk density is the A and B horizon estimates weighted by the depth of each horizon.\",\n \"keywords\": \"soil, structure, porosity\",\n \"uid\": \"806\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"1.741176\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"Mg/m^3\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Solum average bulk density (Mg/m3)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.marine.csiro.au/marq/edd_search.Browse_Citation?txtSession=8890\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.0218159966170787\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Turbidity\",\n \"pid\": \"\",\n \"displayname\": \"SeaWIFS K490 Mean\",\n \"id\": 947,\n \"grid\": true,\n \"path_orig\": \"layer/swk490_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 108.22167,\n \"maxlatitude\": -7.94167,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2011-11-22\",\n \"maxlongitude\": 164.22167,\n \"dt_added\": 1321880400000,\n \"minlatitude\": -48.15167,\n \"scale\": \"4km\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:swk490_mean&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"swk490_mean\",\n \"metadatapath\": \"http://www.marine.csiro.au/marq/edd_search3.xml_extract?txtSession=8890&format=ANZLIC&text=Y\",\n \"type\": \"Environmental\",\n \"notes\": \"This data set contains the mean of SeaWIFS k490 generated from the climatology monthly means; the monthly climatologies represent the mean values for each month across the whole dataset time series. K490 indicates the turbidity of the water column: how the visible light in the blue: green region of the spectrum penetrates within the water column. It is directly related to the presence of scattering particles in the water column. The data are received as monthly composites, with a 4 km resolution, and are constrained to the region between 90E and 180E, and 10N to 60S.\",\n \"keywords\": \"ocean, turbidity\",\n \"uid\": \"947\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"0.511296391487121\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"Kd@490nm/m^2\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"Diffuse attenuation at 490nm measured in metres squared\",\n \"licence_level\": \"3\",\n \"source\": \"CSIRO Division of Marine and Atmospheric Research\",\n \"citation_date\": \"2008-07-31\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Fallow practice - dominant (number)\",\n \"id\": 604,\n \"grid\": false,\n \"path_orig\": \"layer/fal_dom_no_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:fal_dom_no_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/fal_dom_no_01.tif\",\n \"name\": \"fal_dom_no_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant fallow practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the number of respondents.\",\n \"keywords\": \"farm, SLA, cereal, manage\",\n \"uid\": \"604\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant fallow practice for cereal farmers, based on number of respondents in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.marine.csiro.au/marq/edd_search.Browse_Citation?txtSession=8858\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Energy\",\n \"pid\": \"\",\n \"displayname\": \"GEOMACS - geometric mean\",\n \"id\": 952,\n \"grid\": true,\n \"path_orig\": \"layer/geomacs_gmean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.95,\n \"maxlatitude\": -6.95,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2011-11-24\",\n \"maxlongitude\": 156.05,\n \"dt_added\": 1322053200000,\n \"minlatitude\": -44.15,\n \"scale\": \"0.1 degree\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:geomacs_gmean&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"geomacs_gmean\",\n \"metadatapath\": \"http://www.marine.csiro.au/marq/edd_search3.xml_extract?txtSession=8858&format=ANZLIC&text=Y\",\n \"type\": \"Environmental\",\n \"notes\": \"Geoscience Australias GEOMACS model was used to produce hindcast hourly time series of continental shelf (~20 to 300 m depth) bed shear stress (unit of measure: Pascal, Pa) on a 0.1 degree grid covering the period March 1997 to February 2008 (inclusive). The hindcast data represents the combined contribution to the bed shear stress by waves, tides, wind and density-driven circulation. The trimmed mean is simply the arithmetic mean calculated excluding a percentage of the highest and lowest values in the distribution. On this occasion the highest and lowest 25% of model observations were excluded for the calculation. The geometric mean was used alongside the trimmed mean to provide a more robust representation of the bulk of the values than the arithmetic mean would have provided (Hughes and Harris 2008). \",\n \"keywords\": \"energy, ocean, wave\",\n \"uid\": \"952\",\n \"licence_notes\": \"This material is released under the Creative Commons Attribution 3.0 Australia Licence.\",\n \"environmentalvaluemax\": \"52.2511100769042\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"Pascals\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"GEOMACS (Geological and Oceanographic Model of Australias Continental Shelf) Geometric mean\",\n \"licence_level\": \"3\",\n \"source\": \"GA\",\n \"citation_date\": \"2008-07-24\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Moisture\",\n \"pid\": \"\",\n \"displayname\": \"ASRIS 0-1m Plant Available Water Capacity (250m raster)\",\n \"id\": 951,\n \"grid\": true,\n \"path_orig\": \"layer/pawc1m\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.92,\n \"maxlatitude\": -9.14,\n \"licence_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"mddatest\": \"2011-11-24\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1322053200000,\n \"minlatitude\": -43.8625,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pawc1m&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"pawc1m\",\n \"metadatapath\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"type\": \"Environmental\",\n \"notes\": \"This is a 'best of' dataset of 0-1m plant available water capacity (mm). ASRIS level 5, level 4, level 3 and the Digital Atlas of Australian Soils vector datasets are combined (stated order is the order of preference) to produce a composite soil attribute raster dataset (250m).\",\n \"keywords\": \"moisture\",\n \"uid\": \"951\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 Australia.\",\n \"environmentalvaluemax\": \"287\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"ASRIS 0-1m Plant Available Water Capacity (250m raster)\",\n \"licence_level\": \"3\",\n \"source\": \"ACLEP\",\n \"citation_date\": \"2011-07-08\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Physics\",\n \"pid\": \"\",\n \"displayname\": \"ASRIS 0-30cm Clay Content (250m raster)\",\n \"id\": 950,\n \"grid\": true,\n \"path_orig\": \"layer/clay30\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.92,\n \"maxlatitude\": -9.14,\n \"licence_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"mddatest\": \"2011-11-24\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1322053200000,\n \"minlatitude\": -43.8625,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:clay30&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"clay30\",\n \"metadatapath\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"type\": \"Environmental\",\n \"notes\": \"This is a 'best of' dataset of 0-30cm clay content percentage. ASRIS level 5, level 4, level 3 and the Digital Atlas of Australian Soils vector datasets are combined (stated order is the order of preference) to produce a composite soil attribute raster dataset (250m).\",\n \"keywords\": \"grainsize, soil\",\n \"uid\": \"950\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 Australia\",\n \"environmentalvaluemax\": \"83\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"ASRIS 0-30cm Clay Content (250m raster)\",\n \"licence_level\": \"3\",\n \"source\": \"ACLEP\",\n \"citation_date\": \"2011-07-08\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/ger-corridor-spatial-information\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"GER Standard Boundary\",\n \"id\": 2045,\n \"grid\": false,\n \"path_orig\": \"layer/GER_311213\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 142.16623,\n \"maxlatitude\": -15.48853,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.62518,\n \"dt_added\": 1412600400000,\n \"minlatitude\": -38.15889,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:GER_311213&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"GER_311213\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"GER\",\n \"uid\": \"2045\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact GER Initiative.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"GER Standard Boundary 31-12-2013\",\n \"licence_level\": \"1\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Physics\",\n \"pid\": \"\",\n \"displayname\": \"ASRIS 0-30cm Bulk Density (250m raster)\",\n \"id\": 949,\n \"grid\": true,\n \"path_orig\": \"layer/bd30\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.92,\n \"maxlatitude\": -9.14,\n \"licence_link\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"mddatest\": \"2011-11-24\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1322053200000,\n \"minlatitude\": -43.8625,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bd30&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"bd30\",\n \"metadatapath\": \"http://www.asris.csiro.au/themes/NationalGrids.html\",\n \"type\": \"Environmental\",\n \"notes\": \"This is a 'best of' dataset of 0-30cm bulk density (Mg/m3). ASRIS level 5, level 4, level 3 and the Digital Atlas of Australian Soils vector datasets are combined (stated order is the order of preference) to produce a composite soil attribute raster dataset (250m).\",\n \"keywords\": \"soil\",\n \"uid\": \"949\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 Australia\",\n \"environmentalvaluemax\": \"2.30999994277954\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"Mg/m3\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"ASRIS 0-30cm Bulk Density (250m raster)\",\n \"licence_level\": \"3\",\n \"source\": \"ACLEP\",\n \"citation_date\": \"2011-07-08\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-285\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - wettest quarter mean\",\n \"id\": 784,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_8\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_8&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_8.tif\",\n \"name\": \"worldclim_bio_8\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, precipitation, bio08\",\n \"uid\": \"784\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"378\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Temperature of Wettest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Fire frequency\",\n \"id\": 705,\n \"grid\": true,\n \"path_orig\": \"layer/fire_frq\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:fire_frq&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Fire/fire_frq.tif\",\n \"name\": \"fire_frq\",\n \"metadatapath\": \"http://138.80.128.152/nafi2/\",\n \"type\": \"Environmental\",\n \"notes\": \"Number of times a cell has been burnt between 1997 and 2008.\",\n \"keywords\": \"\",\n \"uid\": \"705\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"12\",\n \"classification1\": \"Fire\",\n \"environmentalvalueunits\": \"frequency\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Fire frequency - number of fires between 1997-2008 for each cell\",\n \"licence_level\": \"2\",\n \"source\": \"NAFI\",\n \"citation_date\": \"2008\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"Status\",\n \"displayname\": \"Threatened communities (2008)\",\n \"id\": 683,\n \"grid\": true,\n \"path_orig\": \"layer/threatnd_com\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:threatnd_com&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Environment/threatnd_com.tif\",\n \"name\": \"threatnd_com\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/explorer.jsp\",\n \"type\": \"Environmental\",\n \"notes\": \"A count for each grid cell has been calculated using a frequency by region script created by ERIN. Only species distribution where the species is known or likely has been used in the calculation. A grid for each threatened species status (critically endangered, endangered and vulnerable) has been created as well as a grid containing a count of all threatened species, regardless of status.\",\n \"uid\": \"683\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"4\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"frequency\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Number of threatened ecological communities occurring in a 5km grid cell (frequency)\",\n \"licence_level\": \"2\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2008\"\n },\n {\n \"source_link\": \"https://data.gov.au/dataset/surface-water-sdl-resource-units\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"displayname\": \"Murray-Darling Basin Surface Water SDL Resource Units (2019)\",\n \"id\": 10907,\n \"grid\": false,\n \"path_orig\": \"layer/sw_sdl\",\n \"minlongitude\": 138.56847,\n \"maxlatitude\": -24.58562,\n \"licence_link\": \"http://creativecommons.org/licenses/by/4.0\",\n \"mddatest\": \"2019-01-02\",\n \"maxlongitude\": 152.48855,\n \"dt_added\": 1547757952366,\n \"minlatitude\": -37.68208,\n \"displaypath\": \"https://spatial-beta.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sw_sdl&format=image/png&styles=\",\n \"name\": \"sw_sdl\",\n \"metadatapath\": \"\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"mdba, surface water, resources\",\n \"licence_notes\": \"CC BY 4.0\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"The surface water sustainable diversion limit (SDL) resource unit dataset defines the boundary of 29 surface water SDL areas in the Basin Plan 2012.The SDLs represent the maximum long-term average quantities of water that can be taken for consumption in any one year, i.e. the long-term average annual limit. An SDL will be set for all diversions in each of the 29 surface-water SDL areas that have been established for the Basin Plan. Some areas have been excluded from Basin water resources by regulation.\",\n \"licence_level\": \"1\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"\",\n \"displayname\": \"Fire - time since last\",\n \"id\": 704,\n \"grid\": true,\n \"path_orig\": \"layer/fire_tslb08\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:fire_tslb08&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Fire/fire_tslb08.tif\",\n \"name\": \"fire_tslb08\",\n \"metadatapath\": \"http://138.80.128.152/nafi2/\",\n \"type\": \"Environmental\",\n \"notes\": \"Time since last burn based on most recent burn in time series (analysis of 1997-2008 data).\",\n \"keywords\": \"\",\n \"uid\": \"704\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\r\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"12\",\n \"classification1\": \"Fire\",\n \"environmentalvalueunits\": \"years\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Number of years since last burn (between 1997-2008)\",\n \"licence_level\": \"1\",\n \"source\": \"NAFI\",\n \"citation_date\": \"2008\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Fruit Fly Exclusion Zones\",\n \"pid\": \"\",\n \"displayname\": \"Fruit Fly Exclusion Zone - Tri State\",\n \"id\": 938,\n \"grid\": false,\n \"path_orig\": \"layer/ffez\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 139.41623,\n \"maxlatitude\": -31.8357,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"21/09/2011\",\n \"maxlongitude\": 146.91157,\n \"dt_added\": 1333375200000,\n \"minlatitude\": -36.70088,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ffez&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ffez\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact: Copyright.Services@dpi.vic.gov.au\",\n \"keywords\": \"sds\",\n \"uid\": \"938\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Fruit Fly Exclusion Zone - Tri State\",\n \"licence_level\": \"1\",\n \"source\": \"\",\n \"citation_date\": \"16/09/2010\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"Status\",\n \"displayname\": \"Threatened species (2008)\",\n \"id\": 681,\n \"grid\": true,\n \"path_orig\": \"layer/threatnd_sp\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:threatnd_sp&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Environment/threatnd_sp.tif\",\n \"name\": \"threatnd_sp\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/explorer.jsp\",\n \"type\": \"Environmental\",\n \"notes\": \"A count for each grid cell has been calculated using a frequency by region script created by ERIN. Only species distribution where the species is known or likely has been used in the calculation. A grid for each threatened species status (critically endangered, endangered and vulnerable) has been created as well as a grid containing a count of all threatened species, regardless of status.\",\n \"keywords\": \"endangered, vulnerable, critical\",\n \"uid\": \"681\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"34\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"frequency\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Number of threatened species occurring in a 5km grid cell (frequency)\",\n \"licence_level\": \"2\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2008\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Runoff - average\",\n \"id\": 672,\n \"grid\": true,\n \"path_orig\": \"layer/runoff_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:runoff_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Water/runoff_mean.tif\",\n \"name\": \"runoff_mean\",\n \"metadatapath\": \"http://www.csiro.au/awap/\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual runoff has been calculated by summing monthly data from WaterDyn model 18a 1955-2006 produced by the Australian Water Availability Project (AWAP). The mean has been calculated from these annual figues.\",\n \"keywords\": \"water, runoff\",\n \"uid\": \"672\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"91317\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"megalitres/5x5km/year\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual runoff (Ml / 5km x 5km pixel)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-521\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - driest quarter mean\",\n \"id\": 799,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_9\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_9&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_9.tif\",\n \"name\": \"worldclim_bio_9\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"precipitation, rain, bio09\",\n \"uid\": \"799\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"366\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Temperature of Driest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"107\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - annual\",\n \"id\": 598,\n \"grid\": true,\n \"path_orig\": \"layer/rain_ann\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rain_ann&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Climate/rain_ann.tif\",\n \"name\": \"rain_ann\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/anuclim.php\",\n \"type\": \"Environmental\",\n \"notes\": \"Climate surface modelling compiled by ANU using ANUSPLIN and inputs from ESOCLIM, BIOCLIM and GROCLIM on base 9 DEM, ANUCLIM version 5.1\",\n \"keywords\": \"rain\",\n \"uid\": \"598\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"4141\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual rainfall (mm)\",\n \"licence_level\": \"2\",\n \"source\": \"ANU\",\n \"citation_date\": \"1999\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"2000\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Moisture\",\n \"displayname\": \"Water holding capacity\",\n \"id\": 662,\n \"grid\": true,\n \"path_orig\": \"layer/pawhc\",\n \"minlongitude\": 109.48777,\n \"maxlatitude\": -8.54455,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.24972,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.3964,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pawhc&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Soil/pawhc.tif\",\n \"name\": \"pawhc\",\n \"metadatapath\": \"http://www.asris.csiro.au/about.html\",\n \"type\": \"Environmental\",\n \"notes\": \"Modelled from soil mapping of State and CSIRO observations and presented as an area-weighted mean.\",\n \"keywords\": \"soil, evaporation, temperature, rain, precipitation\",\n \"uid\": \"662\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"215000\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Plant available water holding capacity (mm x 1000)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"displayname\": \"NPP Mean\",\n \"id\": 676,\n \"grid\": true,\n \"path_orig\": \"layer/npp_mean\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:npp_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Land/npp_mean.tif\",\n \"name\": \"npp_mean\",\n \"metadatapath\": \"http://modis.gsfc.nasa.gov/data/atbd/atbd_mod16.pdf\",\n \"type\": \"Environmental\",\n \"notes\": \"Mean of full 7 years of data modelled using inputs including meteorological services the Soils Atlas and satellite imagery.\",\n \"uid\": \"676\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"23\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"tonnes/ha/yr\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Annual Net Primary Productivity (tonnes/ha/yr)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2006\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"702067\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"displayname\": \"Natural resource management expenditure\",\n \"id\": 591,\n \"grid\": true,\n \"path_orig\": \"layer/nrm_exp\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm_exp&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Economic/nrm_exp.tif\",\n \"name\": \"nrm_exp\",\n \"metadatapath\": \"http://www.abareconomics.com/surveys/resourcemgmtsurvey.html\",\n \"type\": \"Environmental\",\n \"notes\": \"Average annual expenditure of a region is the average annual NRM funds allocated to the region during 2000/01 - 2005/06). Modelled data was interpolated by ABARE and converted into rasters by BRS. The raw data was then reclassed in intervals based on ABARE advice.\",\n \"keywords\": \"region, funds\",\n \"uid\": \"591\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"19309238\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"$\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Average Annual NRM Expenditure ($)\",\n \"licence_level\": \"2\",\n \"source\": \"ABARE\",\n \"citation_date\": \"2001-06\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"Status\",\n \"displayname\": \"Migratory species (2008)\",\n \"id\": 682,\n \"grid\": true,\n \"path_orig\": \"layer/migratry_sp\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:migratry_sp&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Environment/migratry_sp.tif\",\n \"name\": \"migratry_sp\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/explorer.jsp\",\n \"type\": \"Environmental\",\n \"notes\": \"A count for each grid cell has been calculated using a frequency by region script created by ERIN. Only species distribution where the species is known or likely has been used in the calculation. A grid for each threatened species status (critically endangered, endangered and vulnerable) has been created as well as a grid containing a count of all threatened species, regardless of status.\",\n \"keywords\": \"threatened, bird\",\n \"uid\": \"682\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"36\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"frequency\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Number of migratory species occurring in a 5km grid cell (frequency)\",\n \"licence_level\": \"2\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2008\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-40\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"NDVI Mean\",\n \"id\": 673,\n \"grid\": true,\n \"path_orig\": \"layer/ndvi_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ndvi_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Land/ndvi_mean.tif\",\n \"name\": \"ndvi_mean\",\n \"metadatapath\": \"http://glcf.umiacs.umd.edu/data/ndvi/\",\n \"type\": \"Environmental\",\n \"notes\": \"Mean annual NDVI calculated from MODIS 250m 16 day NDVI composites derived from bands 1 and 2 of the MODIS Terra satellite.\",\n \"keywords\": \"\",\n \"uid\": \"673\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"94\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"NDVI x 100\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Normalised difference vegetation index (NDVI*100)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2007\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"2725\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"classification2\": \"Evaporation\",\n \"displayname\": \"Evaporation - average\",\n \"id\": 668,\n \"grid\": true,\n \"path_orig\": \"layer/evap_mean\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:evap_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Water/evap_mean.tif\",\n \"name\": \"evap_mean\",\n \"metadatapath\": \"http://www.csiro.au/awap/\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual evaporation describes the amount of water evaporating from the land. It should not be confused with potential evaporation. Annual evaporation has been calculated by summing monthly data from WaterDyn model 18a 1955-2006 produced by the Australian Water Availability Project (AWAP). The mean has been calculated from these annual figures.\",\n \"keywords\": \"water, temperature, precipitation, rain\",\n \"uid\": \"668\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"42212\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"ml\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual evaporation (Ml /5km x 5km pixel)\",\n \"licence_level\": \"2\",\n \"source\": \"AWAP\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"62\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - seasonality\",\n \"id\": 783,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_4\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_4&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_4.tif\",\n \"name\": \"worldclim_bio_4\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"range, mean, ratio, bio04\",\n \"uid\": \"783\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"22721\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"standard deviation (degrees C * 10) * 100\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature Seasonality\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"2\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Evaporation\",\n \"pid\": \"\",\n \"displayname\": \"Evaporation - variability\",\n \"id\": 671,\n \"grid\": true,\n \"path_orig\": \"layer/evap_cv\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:evap_cv&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Water/evap_cv.tif\",\n \"name\": \"evap_cv\",\n \"metadatapath\": \"http://www.csiro.au/awap/\",\n \"type\": \"Environmental\",\n \"notes\": \"Coefficient of variation (%) of annual actual evaporation for 5km x 5km pixels. (This should not be confused with potential evaporation) Standard deviation / mean multiplied by 100. Annual drainage has been calculated by summing monthly data from WaterDyn model 18a 1955-2006 produced by the Australian Water Availability Project (AWAP).\",\n \"keywords\": \"water, temperature, precipitation, rain\",\n \"uid\": \"671\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"57\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Coefficient of variation of annual evaporation (%)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-15\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Elevation \",\n \"id\": 674,\n \"grid\": true,\n \"path_orig\": \"layer/elevation\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:elevation&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Land/elevation.tif\",\n \"name\": \"elevation\",\n \"metadatapath\": \"http://www.ga.gov.au/nmd/products/digidat/dem_9s.jsp\",\n \"type\": \"Environmental\",\n \"notes\": \"Derived from the 9 second digital elevation data version 3 by integerising using ArcGIS 9.3. This dataset was created in 2008 from DEM data current for 2001.\",\n \"keywords\": \"height, dem\",\n \"uid\": \"674\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"2137\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Elevation (metres above mean sea level)\",\n \"licence_level\": \"2\",\n \"source\": \"GA\",\n \"citation_date\": \"2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"displayname\": \"Drainage - variability\",\n \"id\": 666,\n \"grid\": true,\n \"path_orig\": \"layer/drain_cv\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:drain_cv&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Water/drain_cv.tif\",\n \"name\": \"drain_cv\",\n \"metadatapath\": \"http://www.csiro.au/awap/\",\n \"type\": \"Environmental\",\n \"notes\": \"Coefficient of variation of annual drainage for 5km x 5km pixels. Standard deviation / mean x 100. Annual drainage has been calculated by summing monthly data from WaterDyn model 18a 1955-2006 produced by the Australian Water Availability Project (AWAP).\",\n \"keywords\": \"water, runoff\",\n \"uid\": \"666\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"489\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Coefficient of variation of annual drainage (%)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Drainage - average\",\n \"id\": 670,\n \"grid\": true,\n \"path_orig\": \"layer/drain_mean\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:drain_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Water/drain_mean.tif\",\n \"name\": \"drain_mean\",\n \"metadatapath\": \"http://www.csiro.au/awap/\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual drainage has been calculated by summing monthly data from WaterDyn model 18a 1955-2006 produced by the Australian Water Availability Project (AWAP). The mean has been calculated from these annual figures.\",\n \"keywords\": \"water, runoff\",\n \"uid\": \"670\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"9131\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"megalitres/5x5km/year\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual drainage (Ml / 5km x 5km pixel)\",\n \"licence_level\": \"2\",\n \"source\": \"CSIRO\",\n \"citation_date\": \"2006\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"displayname\": \"Vegetation types - native\",\n \"id\": 617,\n \"grid\": false,\n \"path_orig\": \"layer/native_veg\",\n \"minlongitude\": 112.91646,\n \"maxlatitude\": -9.22397,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -43.67225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:native_veg&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Vegetation/native_veg.tif\",\n \"name\": \"native_veg\",\n \"metadatapath\": \"http://www.environment.gov.au/erin/nvis/mvg/index.html , http://www.environment.gov.au/erin/nvis/publications/pubs/major-veg-summary.pdf\",\n \"type\": \"Contextual\",\n \"notes\": \"Primary data with some data gaps filling from Major Vegetation Groups\",\n \"uid\": \"617\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"99\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Pre-European major vegetation groups (class)\",\n \"licence_level\": \"2\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Remoteness index\",\n \"id\": 647,\n \"grid\": true,\n \"path_orig\": \"layer/aria\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:aria&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Social/aria.tif\",\n \"name\": \"aria\",\n \"metadatapath\": \"http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"type\": \"Environmental\",\n \"notes\": \"Index based on road distance measurements from 11,879 populated localities to the nearest service centres in five size categories based on population size. The five distance measurements, one to each level of service centre, are recorded for each populated locality and standardized to a ratio by dividing by the Australian mean for that category. Ratios are summed to produce the ARIA score for each populated locality across Australia and interpolated to a 1km resolution grid. The grid provided in this toolkit is re-sampled to 5km resolution: ARIA values are available from GISCA for all standard ABS geography (ASGC).\",\n \"keywords\": \"population, infrastructure, towns, service\",\n \"uid\": \"647\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009 The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"18\",\n \"classification1\": \"Distance\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Accessibility/Remoteness Index of Australia (class)\",\n \"licence_level\": \"2\",\n \"source\": \"GISCA\",\n \"citation_date\": \"2003\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-1\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Aspect\",\n \"id\": 680,\n \"grid\": true,\n \"path_orig\": \"layer/aspect\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.49867,\n \"maxlatitude\": -8.19539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 157.23401,\n \"dt_added\": 1317646800000,\n \"minlatitude\": -44.38263,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:aspect&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Land/aspect.tif\",\n \"name\": \"aspect\",\n \"metadatapath\": \"http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"type\": \"Environmental\",\n \"notes\": \"Derived from the 9 second digital elevation data (DEM) version 3 by using the aspect command in ArcGIS9.3. This dataset was created in 2008 from DEM data current for 2001.\",\n \"keywords\": \"angle, direction\",\n \"uid\": \"680\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009 The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"359\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"degrees\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Aspect (degree)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2001\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Phylloxera Infection Zone\",\n \"pid\": \"961\",\n \"displayname\": \"Phylloxera Infection Zone - Nagambie, Victoria\",\n \"id\": 961,\n \"grid\": false,\n \"path_orig\": \"layer/phylloxera_nagambie\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 145.02422,\n \"maxlatitude\": -36.59134,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 145.25831,\n \"dt_added\": 1333375200000,\n \"minlatitude\": -37.00408,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_nagambie&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"phylloxera_nagambie\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact:\\r\\nCopyright.Services@dpi.vic.gov.au\",\n \"keywords\": \"sds\",\n \"uid\": \"961\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Phylloxera Infection Zone - Nagambie, Victoria\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.dpi.vic.gov.au/\",\n \"citation_date\": \"2006\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/MEOW/view.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"Marine Ecoregions of the World\",\n \"id\": 988,\n \"grid\": false,\n \"path_orig\": \"layer/meow_ecos\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 86.9194,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nc/3.0/\",\n \"mddatest\": \"2012-04\",\n \"maxlongitude\": 180,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -89.9,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:meow_ecos&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"meow_ecos\",\n \"metadatapath\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/MEOW/view.html\",\n \"type\": \"Contextual\",\n \"notes\": \"MEOW is a biogeographic classification of the world's coasts and shelves. It is the first ever comprehensive marine classification system with clearly defined boundaries and definitions and was developed to closely link to existing regional systems. The ecoregions nest within the broader biogeographic tiers of Realms and Provinces.\",\n \"keywords\": \"\",\n \"uid\": \"988\",\n \"licence_notes\": \"Creative Commons - Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Marine\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"Marine Ecoregions of the World\",\n \"licence_level\": \"1\",\n \"source\": \"The Nature Conservancy and World Wildlife Fund\",\n \"citation_date\": \"2008-10\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"53\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - annual range\",\n \"id\": 787,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_7\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_7&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_7.tif\",\n \"name\": \"worldclim_bio_7\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio07\",\n \"uid\": \"787\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"725\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature Annual Range\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-573\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - coldest month min\",\n \"id\": 781,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_6\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_6&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_6.tif\",\n \"name\": \"worldclim_bio_6\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio06\",\n \"uid\": \"781\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"258\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Min Temperature of Coldest Month\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-96\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - warmest month max\",\n \"id\": 789,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_5\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_5&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_5.tif\",\n \"name\": \"worldclim_bio_5\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio05\",\n \"uid\": \"789\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"490\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Max Temperature of Warmest Month\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"7\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - isothermality\",\n \"id\": 790,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_3\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_3&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_3.tif\",\n \"name\": \"worldclim_bio_3\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"diurnal, day, daily, season, ratio, bio03\",\n \"uid\": \"790\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"96\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Isothermality\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"9\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - diurnal range mean\",\n \"id\": 785,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_2\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_2&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_2.tif\",\n \"name\": \"worldclim_bio_2\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"day, daily, max, ratio, bio02\",\n \"uid\": \"785\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"214\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Diurnal Range\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - coldest quarter\",\n \"id\": 786,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_19\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_19&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_19.tif\",\n \"name\": \"worldclim_bio_19\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio19\",\n \"uid\": \"786\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"5162\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Coldest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - warmest quarter\",\n \"id\": 797,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_18\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_18&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_18.tif\",\n \"name\": \"worldclim_bio_18\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio18\",\n \"uid\": \"797\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"6090\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Warmest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.environment.gov.au/parks/nrs/science/bioregion-framework/ibra/index.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"IBRA 6 Regions\",\n \"id\": 20,\n \"grid\": false,\n \"path_orig\": \"layer/ibra_merged\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.92151,\n \"maxlatitude\": -10.01579,\n \"licence_link\": \"http://www.osdm.gov.au/OSDM/Policies+and+Guidelines/Spatial+Data+Access+and+Pricing/Sample+Licence+Internet/default.aspx\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.63831,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -43.64289,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra_merged&format=image/png&styles=\",\n \"path\": \"/mnt/ala/data/contextual/ibra\",\n \"name\": \"ibra_merged\",\n \"metadatapath\": \"http://www.environment.gov.au/parks/nrs/science/bioregion-framework/ibra/index.html\",\n \"type\": \"Contextual\",\n \"notes\": \"The map of Australias 85 bioregions is derived from the work of state and territory agencies who map vegetation communities and land systems. The fundamental bioregional map is further refined to map Australias 403 subregions.\\r\\n\\r\\nBy combining the IBRA region with information on protected areas, the level of protection of Australias various landscapes can be measured.\",\n \"keywords\": \"bioregion, ecoregion, system\",\n \"uid\": \"20\",\n \"licence_notes\": \"keep record of derivative products\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Interim Biogeographic Regionalisation of Australia 6\",\n \"licence_level\": \"2\",\n \"source\": \"DSEWPaC\",\n \"citation_date\": \"2005\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - driest quarter\",\n \"id\": 782,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_17\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_17&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_17.tif\",\n \"name\": \"worldclim_bio_17\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio17\",\n \"uid\": \"782\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"2495\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Driest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - wettest quarter\",\n \"id\": 796,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_16\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_16&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_16.tif\",\n \"name\": \"worldclim_bio_16\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio16\",\n \"uid\": \"796\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"8019\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Wettest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - seasonality\",\n \"id\": 794,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_15\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_15&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_15.tif\",\n \"name\": \"worldclim_bio_15\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio15\",\n \"uid\": \"794\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"265\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation Seasonality\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - driest month\",\n \"id\": 791,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_14\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_14&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_14.tif\",\n \"name\": \"worldclim_bio_14\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio14\",\n \"uid\": \"791\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"752\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Driest Month\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - wettest month\",\n \"id\": 798,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_13\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_13&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_13.tif\",\n \"name\": \"worldclim_bio_13\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio13\",\n \"uid\": \"798\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"2949\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of Wettest Month\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Precipitation - annual\",\n \"id\": 788,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_12\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_12&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_12.tif\",\n \"name\": \"worldclim_bio_12\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"rain, bio12\",\n \"uid\": \"788\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"11401\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Annual Precipitation\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-521\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - coldest quarter mean\",\n \"id\": 795,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_11\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_11&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_11.tif\",\n \"name\": \"worldclim_bio_11\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio11\",\n \"uid\": \"795\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"289\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Temperature of Coldest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-143\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - warmest quarter mean\",\n \"id\": 792,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_10\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_10&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_10.tif\",\n \"name\": \"worldclim_bio_10\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio10\",\n \"uid\": \"792\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"383\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean Temperature of Warmest Quarter\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.worldclim.org/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-290\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"WorldClim: Temperature - annual mean\",\n \"id\": 793,\n \"grid\": true,\n \"path_orig\": \"layer/worldclim_bio_1\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://www.worldclim.org/current\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 180,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:worldclim_bio_1&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/worldclim/bio_1.tif\",\n \"name\": \"worldclim_bio_1\",\n \"metadatapath\": \"https://gist.github.com/tucotuco/1152668\",\n \"type\": \"Environmental\",\n \"notes\": \"(From http://www.worldclim.org/methods) - For a complete description, see:\\r\\n\\r\\nHijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.\\r\\n\\r\\nThe data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid (often referred to as 1 km2 resolution). Variables included are monthly total precipitation, and monthly mean, minimum and maximum temperature, and 19 derived bioclimatic variables.\\r\\n\\r\\nThe WorldClim interpolated climate layers were made using:\\r\\n * Major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet, and a number of additional minor databases for Australia, New Zealand, the Nordic European Countries, Ecuador, Peru, Bolivia, among others.\\r\\n * The SRTM elevation database (aggregeated to 30 arc-seconds, 1 km)\\r\\n * The ANUSPLIN software. ANUSPLIN is a program for interpolating noisy multi-variate data using thin plate smoothing splines. We used latitude, longitude, and elevation as independent variables.\",\n \"keywords\": \"bio01\",\n \"uid\": \"793\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"320\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C * 10\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Annual Mean Temperature\",\n \"licence_level\": \"2\",\n \"source\": \"WorldClim\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"87.8134002685547\",\n \"shape\": false,\n \"classification2\": \"Wind\",\n \"displayname\": \"Wind run - annual mean\",\n \"id\": 860,\n \"grid\": true,\n \"path_orig\": \"layer/wind_windrm\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wind_windrm&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/windlayers/windrm.tif\",\n \"name\": \"wind_windrm\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=508642a2-1056-4ac6-82a6-fec42beb33b9\",\n \"type\": \"Environmental\",\n \"notes\": \"The wind datasets (wind run and wind speed at 9am and 3pm) were compiled from 9-sec resolution monthly variables generated by Williams et al. (2006) to map suitable areas for macadamia horticulture. These data were created using version 2 of the 9sec digital elevation model in GDA94 geographics with ANUCLIM version 5.1. The monthly data were projected to WGS84 geographics and resampled to 0.01 resolution using the cubic convolution algorithm.\",\n \"keywords\": \"speed, distance\",\n \"uid\": \"860\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"419.536712646484\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"km/day\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Wind run - annual mean (km/day)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2006\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - annual range\",\n \"id\": 725,\n \"grid\": true,\n \"path_orig\": \"layer/trnga\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:trnga&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/trnga.tif\",\n \"name\": \"trnga\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=12b00241-ba03-49fc-8fea-859f4b6bea73\",\n \"type\": \"Environmental\",\n \"notes\": \"The annual temperature range is the difference between the maximum temperature of the hottest month and the minimum temperature of the coldest month (maxtx-minti), Equivalent to bio7 (BIOCLIM). \",\n \"uid\": \"725\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"39.8000183105469\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Annual Range Temperature (°C)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - equinox seasonality ratio\",\n \"id\": 718,\n \"grid\": true,\n \"path_orig\": \"layer/srain2mp\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:srain2mp&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/srain2mp.tif\",\n \"name\": \"srain2mp\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=22193be7-b4f2-49fe-a2aa-3616b80f20ae\",\n \"type\": \"Environmental\",\n \"notes\": \"Equinox rainfall seasonality is the ratio spring to autumn precipitations, where spring precipitation is defined as the sum of Sep-Oct-Nov precipitation and autumn precipitation is defined as the sum of Mar-Apr-May precipitations (based on Austin 1998)\",\n \"keywords\": \"rain\",\n \"uid\": \"718\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"1.54481554031372\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Equinox rainfall seasonality ratio\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - wettest month\",\n \"id\": 711,\n \"grid\": true,\n \"path_orig\": \"layer/rainx\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rainx&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/rainx.tif\",\n \"name\": \"rainx\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=a82f3af3-e5af-4474-b012-fa29dae3a787\",\n \"type\": \"Environmental\",\n \"notes\": \"The precipitation of the wettest month (the maximum rainfall of any monthly rainfall)\",\n \"keywords\": \"rain\",\n \"uid\": \"711\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"1188.30920410156\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of the wettest month (mm)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-37.6666679382324\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - spring or autumn season\",\n \"id\": 766,\n \"grid\": true,\n \"path_orig\": \"layer/srain2\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:srain2&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/srain2.tif\",\n \"name\": \"srain2\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=461a8041-2dda-4a62-8cbc-da8074c4d59c\",\n \"type\": \"Environmental\",\n \"notes\": \"Equinox rainfall seasonality is the ratio spring to autumn precipitations, where spring precipitation is defined as the sum of Sep-Oct-Nov precipitation and autumn precipitation is defined as the sum of Mar-Apr-May precipitations (based on Austin 1998)\",\n \"keywords\": \"rain\",\n \"uid\": \"766\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"0.540870368480682\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Spring or autumn rainfall season\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-128.000\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"National Dynamic Land Cover\",\n \"id\": 918,\n \"grid\": false,\n \"path_orig\": \"layer/dlcmv1\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 110,\n \"maxlatitude\": -10,\n \"licence_link\": \"\",\n \"mddatest\": \"2011\",\n \"maxlongitude\": 155.00919,\n \"dt_added\": 1335967200000,\n \"minlatitude\": -45.0048,\n \"scale\": \"250m\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:dlcmv1&format=image/png&styles=\",\n \"path\": \"/data/ala/data/envlayers/dynamic_land_data_set\",\n \"name\": \"dlcmv1\",\n \"metadatapath\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=brs-4&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=&cclterm2=dynamic%20land%20cover&cclterm3=&start=1&number=1\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"918\",\n \"licence_notes\": \"No permission to distribute derivative works at this stage - draft dataset\",\n \"environmentalvaluemax\": \"34.000\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"The National Dynamic Land Cover Dataset\",\n \"licence_level\": \"0\",\n \"source\": \"GA\",\n \"citation_date\": \"2011\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-5.36842107772827\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - annual seasonality\",\n \"id\": 772,\n \"grid\": true,\n \"path_orig\": \"layer/srain0\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:srain0&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/srain0.tif\",\n \"name\": \"srain0\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=79154c1a-2a3c-4576-94f6-ec95de58d6cb\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual rainfall seasonality is an index derived from two ratios. The ratio of warm (Oct-Nov-Dec-Jan-Feb-Mar) to cool (Apr-May-Jun-Jul-Aug-Sep) season rainfall totals (minus 1) are assigned positive values when rainfall in the warm season is greater than rainfall in the cool season. The ratio of cool to warm season rainfall totals (plus 1) are assigned negative values when rainfall in the cool season is greater than rainfall in the warm season. \",\n \"keywords\": \"rain\",\n \"uid\": \"772\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"33.6666679382324\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"annual rainfall seasonality index\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Humidity\",\n \"displayname\": \"Humidity - month max relative\",\n \"id\": 743,\n \"grid\": true,\n \"path_orig\": \"layer/rh2max\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rh2max&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/rh2max.tif\",\n \"name\": \"rh2max\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=f24a5d74-1850-46e0-a66b-19f79ee418c6\",\n \"type\": \"Environmental\",\n \"notes\": \"\",\n \"keywords\": \"temperature, moisture\",\n \"uid\": \"743\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"100\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum month relative humidity (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Humidity\",\n \"displayname\": \"Humidity - month max relative 3pm \",\n \"id\": 742,\n \"grid\": true,\n \"path_orig\": \"layer/rhu215_x\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rhu215_x&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/rhu215_x.tif\",\n \"name\": \"rhu215_x\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=03453d66-6a8d-4fa3-838b-5701f0c049c3\",\n \"type\": \"Environmental\",\n \"notes\": \"Approximate monthly relative humidity defined as the amount of moisture in the air expressed as a percentage (ratio) of the amount of moisture present if the air was saturated at that temperature (3pm).\",\n \"keywords\": \"temperature, moisture\",\n \"uid\": \"742\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"100\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum month relative humidity at 3pm (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Humidity\",\n \"displayname\": \"Humidity - annual mean relative 3pm \",\n \"id\": 746,\n \"grid\": true,\n \"path_orig\": \"layer/rhu215_m\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rhu215_m&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/rhu215_m.tif\",\n \"name\": \"rhu215_m\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=ae1e3b06-4cf9-4b0f-905b-1b673e99c92d\",\n \"type\": \"Environmental\",\n \"notes\": \"Approximate monthly relative humidity defined as the amount of moisture in the air expressed as a percentage (ratio) of the amount of moisture present if the air was saturated at that temperature (3pm).\",\n \"keywords\": \"temperature, moisture\",\n \"uid\": \"746\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"98.1016387939453\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual relative humidity at 3pm (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Humidity\",\n \"displayname\": \"Humidity - month min relative 3pm \",\n \"id\": 744,\n \"grid\": true,\n \"path_orig\": \"layer/rhu215_i\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:rhu215_i&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/rhu215_i.tif\",\n \"name\": \"rhu215_i\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=b9a98e25-e50f-4615-9abd-8aea89115f19\",\n \"type\": \"Environmental\",\n \"notes\": \"Approximate monthly relative humidity defined as the amount of moisture in the air expressed as a percentage (ratio) of the amount of moisture present if the air was saturated at that temperature (3pm).\",\n \"keywords\": \"temperature, moisture\",\n \"uid\": \"744\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"92.7629470825195\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Minimum month relative humidity at 3pm (%)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - driest month\",\n \"id\": 726,\n \"grid\": true,\n \"path_orig\": \"layer/raini\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:raini&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/raini.tif\",\n \"name\": \"raini\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=06179019-4c16-4d27-b729-03140c7ab4eb\",\n \"type\": \"Environmental\",\n \"notes\": \"The precipitation of the driest month (the minimum rainfall of any monthly rainfall)\",\n \"keywords\": \"rain\",\n \"uid\": \"726\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"189.884826660156\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation of the driest month (mm)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Phylloxera Infection Zone\",\n \"pid\": \"963\",\n \"displayname\": \"Phylloxera Infection Zone - North East, Victoria\",\n \"id\": 963,\n \"grid\": false,\n \"path_orig\": \"layer/phylloxera_north_east\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 146.01559,\n \"maxlatitude\": -35.95724,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 147.12922,\n \"dt_added\": 1333375200000,\n \"minlatitude\": -37.071,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_north_east&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"phylloxera_north_east\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact:\\r\\nCopyright.Services@dpi.vic.gov.au\",\n \"keywords\": \"sds\",\n \"uid\": \"963\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Phylloxera Infection Zone - North East, Victoria\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.dpi.vic.gov.au/\",\n \"citation_date\": \"2010\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Moisture\",\n \"pid\": \"\",\n \"displayname\": \"Water stress index - month max\",\n \"id\": 708,\n \"grid\": true,\n \"path_orig\": \"layer/pwat_max\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pwat_max&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/pwat_max.tif\",\n \"name\": \"pwat_max\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=ea3aa7dd-cf19-4f07-9e86-883fdfe7f211\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly water stress is the percentage of actual to potential evapotranspiration. Adapted from the index by (Hackett 1988). Actual evapotranspiration is an output of a water balance model, and potential evapotranspiration is the pan evaporation (free-water surface) adjusted by the coefficient of potential evapotranspiration (PETCF). A constant PETCF value of 0.9 was used for all months which assumes constant leaf area index. \",\n \"keywords\": \"soil, evaporation, temperature, rain, precipitation\",\n \"uid\": \"708\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"81\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum month soil water stress index \",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-5.44000005722046\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - coldest month min\",\n \"id\": 730,\n \"grid\": true,\n \"path_orig\": \"layer/minti\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:minti&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/minti.tif\",\n \"name\": \"minti\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=1416258c-048c-43f0-9ce6-47be67dfdecb\",\n \"type\": \"Environmental\",\n \"notes\": \"The minimum temperature of the coldest month (the minimum temperature of any monthly minimum temperature)\",\n \"uid\": \"730\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"22.1200008392333\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Minimum temperature coldest month (°C)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Growth index\",\n \"displayname\": \"Growth index C3 mesotherm plants - annual mean\",\n \"id\": 731,\n \"grid\": true,\n \"path_orig\": \"layer/mesogi\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mesogi&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/mesogi.tif\",\n \"name\": \"mesogi\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=bfbdaf16-c02a-4b8b-9782-e4523f79b6f5\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual mean growth index for C3 mesotherm plants computed for a clay loam soil type with 150mm available water holding capacity as the product of three component indices (temperature, light and moisture) using an optimum temperature of 19�C and range 3-36�C.\",\n \"keywords\": \"water, temperature, precipitation, rain, capacity\",\n \"uid\": \"731\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"0.850000023841858\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"index\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual growth index C3 mesotherm plants\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Growth index\",\n \"displayname\": \"Growth index C3 macrotherm plants - annual mean\",\n \"id\": 722,\n \"grid\": true,\n \"path_orig\": \"layer/megagi\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:megagi&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/megagi.tif\",\n \"name\": \"megagi\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=d2c1ed94-ff20-4ee0-a649-2f35159d4069\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual mean growth index for C3 macrotherm plants computed for a clay loam soil type with 150mm available water holding capacity as the product of three component indices (temperature, light and moisture) using an optimum temperature of 28�C and range 10-38�C.\",\n \"keywords\": \"water, temperature, precipitation, rain, capacity\",\n \"uid\": \"722\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"0.699999988079071\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"index\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual growth index C3 macrotherm plants\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - month hottest maximum\",\n \"id\": 729,\n \"grid\": true,\n \"path_orig\": \"layer/maxtx\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:maxtx&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/maxtx.tif\",\n \"name\": \"maxtx\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=e21ef520-d9ea-4cd7-a301-1126acdaa8e7\",\n \"type\": \"Environmental\",\n \"notes\": \"The maximum temperature of the hottest month (the maximum temperature of any monthly maximum temperature)\",\n \"uid\": \"729\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"41.2200012207031\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum temperature hottest month (°C)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"9.39999961853027\",\n \"shape\": false,\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - annual range (Bio07)\",\n \"id\": 862,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio7\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio7&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio7.tif\",\n \"name\": \"bioclim_bio7\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"uid\": \"862\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"35.4000015258789\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - annual range (Bio07)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Growth index\",\n \"displayname\": \"Growth index C4 megatherm plants - annual mean\",\n \"id\": 751,\n \"grid\": true,\n \"path_orig\": \"layer/c4gi\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:c4gi&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/c4gi.tif\",\n \"name\": \"c4gi\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=ea7ae8a4-9ae9-4e88-b435-9a3e91f383a0\",\n \"type\": \"Environmental\",\n \"notes\": \"Annual mean growth index for C4 megatherm plants computed for a clay loam soil type with 150mm available water holding capacity as the product of three component indices (temperature, light and moisture) using an optimum temperature of 32�C and range 10-45�C. \",\n \"keywords\": \"water, temperature, precipitation, rain, capacity\",\n \"uid\": \"751\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"0.579999983310699\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"index\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual growth index C4 megatherm plants\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-1.29999995231628\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"Temperature - wettest quarter mean (Bio08)\",\n \"id\": 870,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio8\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio8&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio8.tif\",\n \"name\": \"bioclim_bio8\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain, precipitation\",\n \"uid\": \"870\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"32.7000007629395\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - wettest quarter mean (Bio08)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.340000003576279\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"Temperature - seasonality (Bio04)\",\n \"id\": 892,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio4\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio4&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio4.tif\",\n \"name\": \"bioclim_bio4\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"variation, mean, ratio\",\n \"uid\": \"892\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"2.22000002861023\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - seasonality (Bio04)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.0799999982118607\",\n \"shape\": false,\n \"classification2\": \"Moisture\",\n \"displayname\": \"Moisture Index - highest quarter mean (Bio32)\",\n \"id\": 865,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio32\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio32&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio32.tif\",\n \"name\": \"bioclim_bio32\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"soil, water, saturation\",\n \"uid\": \"865\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"1\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"Dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Moisture Index - highest quarter mean (Bio32)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-5.69999980926514\",\n \"shape\": false,\n \"respparty_role\": \"\",\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - coldest period min (Bio06)\",\n \"id\": 867,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio6\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio6&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio6.tif\",\n \"name\": \"bioclim_bio6\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams. \\\"Period\\\" is used here as the month used for the values may not correspond to a single month. For example it may span two months as for example January 15 to February 15.\",\n \"keywords\": \"\",\n \"uid\": \"867\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"22.6000003814697\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - coldest period min (Bio06)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.300000011920929\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"Temperature - isothermality (Bio03)\",\n \"id\": 883,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio3\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio3&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio3.tif\",\n \"name\": \"bioclim_bio3\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"day, daily, season, ratio\",\n \"uid\": \"883\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"0.660000026226044\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"%\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - isothermality (Bio03)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0.0500000007450581\",\n \"shape\": false,\n \"classification2\": \"Moisture\",\n \"displayname\": \"Moisture Index - annual mean (Bio28)\",\n \"id\": 891,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio28\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio28&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio28.tif\",\n \"name\": \"bioclim_bio28\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"soil, water, saturation\",\n \"uid\": \"891\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"1\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"Dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Moisture Index - annual mean (Bio28)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"15.3999996185303\",\n \"shape\": false,\n \"classification2\": \"Solar radiation\",\n \"displayname\": \"Radiation - warmest quarter (Bio26)\",\n \"id\": 894,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio26\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio26&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio26.tif\",\n \"name\": \"bioclim_bio26\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"solar, sun\",\n \"uid\": \"894\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"28.3999996185303\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"MJ/m2/day\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Radiation - warmest quarter (Bio26)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"7\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Solar radiation\",\n \"pid\": \"\",\n \"displayname\": \"Radiation - seasonality (Bio23)\",\n \"id\": 887,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio23\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio23&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio23.tif\",\n \"name\": \"bioclim_bio23\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"solar, sun\",\n \"uid\": \"887\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"55\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Radiation - seasonality (Bio23)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"10.1000003814697\",\n \"shape\": false,\n \"classification2\": \"Solar radiation\",\n \"displayname\": \"Radiation - annual mean (Bio20)\",\n \"id\": 881,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio20\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio20&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio20.tif\",\n \"name\": \"bioclim_bio20\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"solar, sun\",\n \"uid\": \"881\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"23.5\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"MJ/m2/day\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Radiation - annual mean (Bio20)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"5.09999990463257\",\n \"shape\": false,\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - diurnal range mean (Bio02)\",\n \"id\": 888,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio2\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio2&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio2.tif\",\n \"name\": \"bioclim_bio2\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"uid\": \"888\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"16.8999996185303\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - diurnal range mean (Bio02)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"2\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - coldest quarter (Bio19)\",\n \"id\": 863,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio19\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio19&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio19.tif\",\n \"name\": \"bioclim_bio19\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"863\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"1044\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - coldest quarter (Bio19)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"20\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - warmest quarter (Bio18)\",\n \"id\": 878,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio18\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio18&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio18.tif\",\n \"name\": \"bioclim_bio18\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"878\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"2045\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - warmest quarter (Bio18)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - driest quarter (Bio17)\",\n \"id\": 889,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio17\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio17&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio17.tif\",\n \"name\": \"bioclim_bio17\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"889\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"599\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - driest quarter (Bio17)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"46\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - wettest quarter (Bio16)\",\n \"id\": 886,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio16\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio16&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio16.tif\",\n \"name\": \"bioclim_bio16\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"886\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"2817\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - wettest quarter (Bio16)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"9\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - seasonality (Bio15)\",\n \"id\": 882,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio15\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio15&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio15.tif\",\n \"name\": \"bioclim_bio15\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"882\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"141\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - seasonality ( (Bio15)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"137\",\n \"shape\": false,\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Precipitation - annual (Bio12)\",\n \"id\": 893,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio12\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio12&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio12.tif\",\n \"name\": \"bioclim_bio12\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"rain\",\n \"uid\": \"893\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"5761\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"mm\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Precipitation - annual (bio12)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-2.79999995231628\",\n \"shape\": false,\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - coldest quarter mean (Bio11)\",\n \"id\": 876,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio11\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio11&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio11.tif\",\n \"name\": \"bioclim_bio11\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"uid\": \"876\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"25.7000007629395\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - coldest quarter mean (Bio11)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/sustainable-rivers-audit-2-valley-and-zone-spatial-layers\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Sustainable Rivers Audit (SRA) Zones\",\n \"id\": 3004,\n \"grid\": false,\n \"path_orig\": \"layer/MDB_SRA_zones\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 138.56847,\n \"maxlatitude\": -24.58562,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2015-11-10\",\n \"maxlongitude\": 152.48855,\n \"dt_added\": 1447678800000,\n \"minlatitude\": -37.68208,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:MDB_SRA_zones&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"MDB_SRA_zones\",\n \"metadatapath\": \"https://data.gov.au/dataset/sustainable-rivers-audit-2-valley-and-zone-spatial-layers\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"3004\",\n \"licence_notes\": \"CC-BY 3.0 Australia\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Murray-Darling Basin Sustainable Rivers Audit (SRA) Zones\",\n \"licence_level\": \"3\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"8.10000038146973\",\n \"shape\": false,\n \"classification2\": \"Temperature\",\n \"displayname\": \"Temperature - warmest quarter (Bio10)\",\n \"id\": 890,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio10\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio10&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio10.tif\",\n \"name\": \"bioclim_bio10\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"uid\": \"890\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"33.2000007629395\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - warmest quarter (Bio10)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"3.40000009536743\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Temperature\",\n \"pid\": \"\",\n \"displayname\": \"Temperature - annual mean (Bio01)\",\n \"id\": 874,\n \"grid\": true,\n \"path_orig\": \"layer/bioclim_bio1\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-08\",\n \"maxlongitude\": 153.64,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -43.8,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bioclim_bio1&format=image/png&styles=\",\n \"path\": \"/data/ala/data/source/bioclim1990-asc/bio1.tif\",\n \"name\": \"bioclim_bio1\",\n \"metadatapath\": \"http://fennerschool.anu.edu.au/publications/software/\",\n \"type\": \"Environmental\",\n \"notes\": \"Data derived using ANUCLIM v6 (beta) with the new set of climate surfaces (centred on 1990), by Dr. Kristen Williams.\",\n \"keywords\": \"\",\n \"uid\": \"874\",\n \"licence_notes\": \"Permission to re-distribute ANUCLIM outputs should be obtained from Prof. Michael Hutchinson - http://fennerschool.anu.edu.au/publications/software/\",\n \"environmentalvaluemax\": \"29.7000007629395\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"degrees C\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Temperature - annual mean (Bio01)\",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"2008-02\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/marine/bathymetry.jsp\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"-8764\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Bathymetry and Topography 9 sec\",\n \"id\": 848,\n \"grid\": true,\n \"path_orig\": \"layer/bath_topo_ausbath_09_v4\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 91.99762,\n \"maxlatitude\": -8.00244,\n \"licence_link\": \"https://www.ga.gov.au/gadds/licences/licence_1.html\",\n \"mddatest\": \"2010-01\",\n \"maxlongitude\": 171.99762,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -60.00244,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bath_topo_ausbath_09_v4&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/bath_topo_grid/dvd1/data/ESRI_Grid/ausbath_09_v4.tif\",\n \"name\": \"bath_topo_ausbath_09_v4\",\n \"metadatapath\": \"http://www.ga.gov.au/meta/ANZCW0703013116.html\",\n \"type\": \"Environmental\",\n \"notes\": \"In 2005 Geoscience Australia and the National Oceans Office undertook a joint project to produce a consistent, high-quality 9 arc second (0.0025? or ~250m at the equator) bathymetric grid for Australian waters. In 2009 a number of new datasets were included in an updated version of the grid.\\r\\n\\r\\nThe 2009 bathymetric grid of Australia has been produced to include recently acquired datasets, and solutions to issues identified in the previous version. The revised grid has the same extents as its 2005 counterpart, including the Australian water column jurisdiction lying between 92 E and 172 E, and 8 S and 60 S. The waters adjacent to the continent of Australia and Tasmania are included, as are areas surrounding Macquarie Island, and the Australian Territories of Norfolk Island, Christmas Island, and Cocos (Keeling) Islands. The area selected does not include Australias marine jurisdiction offshore from the Territory of Heard and McDonald Islands and the Australian Antarctic Territory.\\r\\n\\r\\nThis report details the datasets and procedures used to produce the 2009 bathymetric grid of Australia. As per the 2005 grid, the 0.0025 decimal degree (dd) resolution is only supported where direct bathymetric observations are sufficiently dense (e.g. where swath bathymetry data or digitised chart data exist) (Webster and Petkovic, 2005). In areas where no sounding data are available (in waters off the Australian shelf), the grid is based on the 2 arc minute ETOPO (Smith and Sandwell, 1997) and 1 arc minute ETOPO (Amante and Eakins, 2008) satellite derived bathymetry. The topographic data (on shore data) is based on the revised Australian 0.0025dd topography grid (Geoscience Australia, 2008), the 0.0025dd NZ topography grid (Geographx, 2008) and the 90m SRTM DEM (Jarvis et al, 2008).\",\n \"keywords\": \"depth, dem\",\n \"uid\": \"848\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"3958\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"m\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"Australian bathymetry and topography grid, June 2009\",\n \"licence_level\": \"3\",\n \"source\": \"GA\",\n \"citation_date\": \"2009\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.bushheritage.org.au/places-we-protect\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"Biodiversity\",\n \"pid\": \"\",\n \"displayname\": \"Bush Heritage Reserves April 2015\",\n \"id\": 2109,\n \"grid\": false,\n \"path_orig\": \"layer/bh_reserves\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 114.52401,\n \"maxlatitude\": -16.19854,\n \"licence_link\": \"http://www.bushheritage.org.au/places-we-protect\",\n \"mddatest\": \"20151404\",\n \"maxlongitude\": 153.42834,\n \"dt_added\": 1429192800000,\n \"minlatitude\": -42.05006,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:bh_reserves&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"bh_reserves\",\n \"metadatapath\": \"http://www.bushheritage.org.au/places-we-protect\",\n \"type\": \"Contextual\",\n \"notes\": \"Received from Paul Young paul.young@bushheritage.org.au 14/4/2015\",\n \"keywords\": \"conservation\",\n \"uid\": \"2109\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Bush Heritage Reserves as at 14/4/2015. Note that a subset of these reserves are included in the CAPAD terrestrial layers.\",\n \"licence_level\": \"2\",\n \"source\": \"http://www.bushheritage.org.au/places-we-protect\",\n \"citation_date\": \"20151404\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.gadm.org\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"World Country Boundaries\",\n \"id\": 932,\n \"grid\": false,\n \"path_orig\": \"layer/world\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180.00002,\n \"maxlatitude\": 83.62742,\n \"licence_link\": \"\",\n \"mddatest\": \"2011-09-26\",\n \"maxlongitude\": 180,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:world&format=image/png&styles=\",\n \"path\": \"/data/ala/data/shapefiles/gadm_v1_lev0_shp\",\n \"name\": \"world\",\n \"metadatapath\": \"http://www.gadm.org\",\n \"type\": \"Contextual\",\n \"notes\": \"LB: Supersedes 922 (natural earth country boundaries)\",\n \"keywords\": \"coast, island, nation, state, territory, political\",\n \"uid\": \"932\",\n \"licence_notes\": \"This dataset is freely available for academic and other non-commercial use. Redistribution, or commercial use, is not allowed without prior permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Global Administrative Areas - World Boundary\",\n \"licence_level\": \"2\",\n \"source\": \"GADM\",\n \"citation_date\": \"2011-09-26\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Precipitation\",\n \"pid\": \"\",\n \"displayname\": \"Aridity index - month min\",\n \"id\": 765,\n \"grid\": true,\n \"path_orig\": \"layer/arid_min\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:arid_max&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/arid_max.tif\",\n \"name\": \"arid_min\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?id=1109\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly ratio of precipitation to potential evaporation (pan, free-water surface). A numerical indicator of the degree of dryness of the climate at a given location. Adapted from the index proposed by UNEP (1992; cited in Middleton and Thomas (1997)). \",\n \"keywords\": \"evaporation, rain, precipitation, temperature\",\n \"uid\": \"765\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"1.61132776737213\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Minimum month aridity index \",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Aridity index - annual mean\",\n \"id\": 715,\n \"grid\": true,\n \"path_orig\": \"layer/arid_mean\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:arid_mean&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/arid_mean.tif\",\n \"name\": \"arid_mean\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=c592f17e-bd0f-4d9e-b76f-304f9f40d028\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly ratio of precipitation to potential evaporation (pan, free-water surface). A numerical indicator of the degree of dryness of the climate at a given location. Adapted from the index proposed by UNEP (1992; cited in Middleton and Thomas (1997)). \",\n \"keywords\": \"evaporation, rain, precipitation, temperature\",\n \"uid\": \"715\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"9.18216323852539\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Mean annual aridity index \",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"source_link\": \"http://www.csiro.au/Organisation-Structure/Divisions/Ecosystem-Sciences.aspx\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Precipitation\",\n \"displayname\": \"Aridity index - month max\",\n \"id\": 719,\n \"grid\": true,\n \"path_orig\": \"layer/arid_max\",\n \"minlongitude\": 109.51,\n \"maxlatitude\": -8.19,\n \"mddatest\": \"2010-07\",\n \"maxlongitude\": 157.28,\n \"dt_added\": 1308837600000,\n \"minlatitude\": -44.37,\n \"scale\": \"0.01 degree (~1km)\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:arid_min&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/williams/arc/arid_min.tif\",\n \"name\": \"arid_max\",\n \"metadatapath\": \"https://spatial.ala.org.au/geonetwork/srv/en/metadata.show?uuid=057e11df-fc1c-4d20-ad54-19dc0345e969\",\n \"type\": \"Environmental\",\n \"notes\": \"The monthly ratio of precipitation to potential evaporation (pan, free-water surface). A numerical indicator of the degree of dryness of the climate at a given location. Adapted from the index proposed by UNEP (1992; cited in Middleton and Thomas (1997)). \",\n \"keywords\": \"evaporation, rain, precipitation, temperature\",\n \"uid\": \"719\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact Dr. Kristen Williams - kristen.williams@csiro.au\",\n \"environmentalvaluemax\": \"32.9750785827637\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"dimensionless\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Maximum month aridity index \",\n \"licence_level\": \"1\",\n \"source\": \"CSIRO Ecosystem Sciences\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/a-guide-to-traditional-owner-groups-for-water-resource-plan-areas/resource/c6290f37-afda-4a58-9527-d6ca10761e91\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Culture\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Water Resource Planning Areas Traditional Owners - Surface Water\",\n \"id\": 10847,\n \"grid\": false,\n \"path_orig\": \"layer/sw_wrpa_traditional_owners\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"https://creativecommons.org/licenses/by/4.0/\\u200e\",\n \"mddatest\": \"2015-06-01\",\n \"maxlongitude\": 180,\n \"dt_added\": 1469541600000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sw_wrpa_traditional_owners&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"sw_wrpa_traditional_owners\",\n \"metadatapath\": \"https://data.gov.au/dataset/a-guide-to-traditional-owner-groups-for-water-resource-plan-areas\",\n \"type\": \"Contextual\",\n \"notes\": \"Original ZIP file split into two separate ZIP files for the Surface Water and Ground Water subsets before uploading.\",\n \"keywords\": \"indigenous, aboriginal, torres strait, surface water, murray-darling, mdba\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-4.0\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"This dataset lists Traditional Owner groups for the purpose of water resource planning for each of the 20 surface water resource plan areas (WRPAs) for the Murray-Darling Basin. The table and map has been compiled using a number sources and should only be used as a preliminary guide. Endorsed by Murray Lower Darling Rivers Indigenous Nations and Northern Basin Aboriginal Nations, June 2015.\",\n \"licence_level\": \"1\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2015-06-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/a-guide-to-traditional-owner-groups-for-water-resource-plan-areas/resource/c6290f37-afda-4a58-9527-d6ca10761e91\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Culture\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Water Resource Planning Areas Traditional Owners - Ground Water\",\n \"id\": 10848,\n \"grid\": false,\n \"path_orig\": \"layer/gw_wrpa_traditional_owners\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"https://creativecommons.org/licenses/by/4.0/\\u200e\",\n \"mddatest\": \"2015-06-01\",\n \"maxlongitude\": 180,\n \"dt_added\": 1469541600000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:gw_wrpa_traditional_owners&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"gw_wrpa_traditional_owners\",\n \"metadatapath\": \"https://data.gov.au/dataset/a-guide-to-traditional-owner-groups-for-water-resource-plan-areas\",\n \"type\": \"Contextual\",\n \"notes\": \"Original ZIP file split into two separate ZIP files for the Surface Water and Ground Water subsets before uploading.\",\n \"keywords\": \"indigenous, aboriginal, torres strait, ground water, murray-darling, mdba\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-4.0\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"This dataset lists Traditional Owner groups for the purpose of water resource planning for each of the 20 surface water resource plan areas (WRPAs) for the Murray-Darling Basin. The table and map has been compiled using a number sources and should only be used as a preliminary guide. Endorsed by Murray Lower Darling Rivers Indigenous Nations and Northern Basin Aboriginal Nations, June 2015.\",\n \"licence_level\": \"1\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2015-06-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/groundwater-sdl-resource-units\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Ground Water SDL Resource Units\",\n \"id\": 10833,\n \"grid\": false,\n \"path_orig\": \"layer/mdb_ground_water_sdl_resource_units\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"2013-08-20\",\n \"maxlongitude\": 180,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mdb_ground_water_sdl_resource_units&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"mdb_ground_water_sdl_resource_units\",\n \"metadatapath\": \"https://data.gov.au/dataset/groundwater-sdl-resource-units\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"mdba, ground water, resources\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-ND\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"This dataset defines the boundaries of the 94 groundwater SDL resource units in the Murray-Darling Basin. These include 2 groundwater SDL resource units for deep groundwater that lie beneath the 92 groundwater SDL resource units.\\r\\n\\r\\nIn some areas, there are SDL resource units that overlap one another (eg: GS1). This occurs where SDLs have been set for discrete aquifers that overlie one another under the same area of land. These can be differentiated by the GWSDLName field.\\r\\n\\r\\nThere are areas of overlap between the groundwater and deep groundwater SDL resource units which need to be taken into account when viewing the data. These can be differentiated by the GWSDLType field. \",\n \"licence_level\": \"2\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2013-08-20\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/murray-darling-basin-water-resource-plan-areas-groundwater\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Ground Water Plan Areas\",\n \"id\": 10835,\n \"grid\": false,\n \"path_orig\": \"layer/mdb_ground_water_water_resource_plan_areas\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"2012-05-24\",\n \"maxlongitude\": 180,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mdb_ground_water_water_resource_plan_areas&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"mdb_ground_water_water_resource_plan_areas\",\n \"metadatapath\": \"https://data.gov.au/dataset/murray-darling-basin-water-resource-plan-areas-groundwater\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"mdba, ground water, resources\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-ND\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"This dataset defines the boundaries of the 23 groundwater water resource plan areas (WRPAs) for the Murray-Darling Basin. \",\n \"licence_level\": \"2\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2012-05-24\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/sustainable-rivers-audit-2-valley-and-zone-spatial-layers\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Sustainable Rivers Audit (SRA) Valleys\",\n \"id\": 3003,\n \"grid\": false,\n \"path_orig\": \"layer/MDB_SRA_valleys\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 138.56847,\n \"maxlatitude\": -24.58562,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2015-11-10\",\n \"maxlongitude\": 152.48855,\n \"dt_added\": 1447678800000,\n \"minlatitude\": -37.68208,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:MDB_SRA_valleys&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"MDB_SRA_valleys\",\n \"metadatapath\": \"https://data.gov.au/dataset/sustainable-rivers-audit-2-valley-and-zone-spatial-layers\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"3003\",\n \"licence_notes\": \"CC-BY 3.0 Australia\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Murray-Darling Basin Sustainable Rivers Audit (SRA) Valleys\",\n \"licence_level\": \"3\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/murray-darling-basin-water-resource-plan-areas-surface-water\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Surface Water Plan Areas\",\n \"id\": 10834,\n \"grid\": false,\n \"path_orig\": \"layer/mdb_surface_water_water_resource_plan_areas\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"2012-05-23\",\n \"maxlongitude\": 180,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mdb_surface_water_water_resource_plan_areas&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"mdb_surface_water_water_resource_plan_areas\",\n \"metadatapath\": \"https://data.gov.au/dataset/murray-darling-basin-water-resource-plan-areas-surface-water\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"mdba, surface water, resources\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-ND\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"The Basin Planas management arrangements will be implemented at a local scale through water resource plans prepared by the Basin states for accreditation by the Commonwealth Water Minister. The Basin has been divided into 19 surface- water water resource plan areas. The boundaries of these areas are shown in the Surface Water Water Resource Plan Areas dataset.\\r\\n\\r\\nThe surface-water water resource plan areas cover the entire Basin, including those areas not previously subject to water planning arrangements. The water resources in the Murray-Darling Basin to which the Basin Plan will apply are identified in the Water Act 2007 (Cwlth). These resources do not include the Great Artesian Basin water resources. \",\n \"licence_level\": \"2\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2012-05-23\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.asris.csiro.au/downloads/PhysioRegions/PhysiographicRegions_2011.zip\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Physiographic Provinces of Australia\",\n \"id\": 2022,\n \"grid\": false,\n \"path_orig\": \"layer/physioprov\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9215,\n \"maxlatitude\": -9.14129,\n \"licence_link\": \"http://www.asris.csiro.au/downloads/PhysioRegions/PhysiographicRegions_2011.zip\",\n \"mddatest\": \"2010_12_07\",\n \"maxlongitude\": 153.63834,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -43.8604,\n \"scale\": \"1:10,000,000\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:physioprov&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"physioprov\",\n \"metadatapath\": \"http://www.asris.csiro.au/downloads/PhysioRegions/PhysiographicRegions_2011.zip\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"landform, geology, landscape, erosion, deposition, structure, regolith, substrate\",\n \"uid\": \"2022\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Topography\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Physiographic Provinces of Australia 2011\",\n \"licence_level\": \"3\",\n \"source\": \"CSIRO Land and Water\",\n \"citation_date\": \"2011\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.gov.au/dataset/wetlands-gis-of-the-murray-darling-basin-series-2-0\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Wetlands\",\n \"id\": 10829,\n \"grid\": false,\n \"path_orig\": \"layer/wetlands_mdb_name_only\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": 138.77623,\n \"maxlatitude\": -25.38317,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au\",\n \"mddatest\": \"1999-01-01\",\n \"maxlongitude\": 152.00577,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -37.48139,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wetlands_mdb_name_only&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"wetlands_mdb_name_only\",\n \"metadatapath\": \"http://data.gov.au/dataset/wetlands-gis-of-the-murray-darling-basin-series-2-0\",\n \"type\": \"Contextual\",\n \"notes\": \"Filtered version of the original layer to remove MULTIPOLYGON's that have the NAME attribute empty. Attemping to load the NAME layer with the empty values intact caused the whole system to freeze, possibly due to the complexity of the area for the combined MULTIPOLYGON's for all of those without a NAME.\",\n \"keywords\": \"mdba, wetlands, names\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"\",\n \"licence_level\": \"3\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"1999-01-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.gov.au/dataset/wetlands-gis-of-the-murray-darling-basin-series-2-0\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Wetland Groups\",\n \"id\": 10831,\n \"grid\": false,\n \"path_orig\": \"layer/wetlands_mdb_group_only\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au\",\n \"mddatest\": \"1999-01-01\",\n \"maxlongitude\": 180,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wetlands_mdb_group_only&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"wetlands_mdb_group_only\",\n \"metadatapath\": \"http://data.gov.au/dataset/wetlands-gis-of-the-murray-darling-basin-series-2-0\",\n \"type\": \"Contextual\",\n \"notes\": \"Filtered version of the original layer to remove MULTIPOLYGON's that have the GROUP/GROUPNAME attribute empty. Attemping to load the GROUP/GROUPNAME layer with the empty values intact caused the whole system to freeze sometimes, possibly due to the complexity of the area for the combined MULTIPOLYGON's for those without a GROUP.\",\n \"keywords\": \"mdba, wetlands, groups/categories\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"\",\n \"licence_level\": \"1\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"1999-01-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.gov.au/dataset/surface-water-sdl-resource-units\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray-Darling Basin Surface Water SDL Resource Units\",\n \"id\": 10832,\n \"grid\": false,\n \"path_orig\": \"layer/mdb_surface_water_sdl_resource_units\",\n \"mdhrlv\": \"null\",\n \"minlongitude\": -180,\n \"maxlatitude\": 90,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"2009-01-01\",\n \"maxlongitude\": 180,\n \"dt_added\": 1461592800000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:mdb_surface_water_sdl_resource_units&format=image/png&styles=\",\n \"path\": \"\",\n \"name\": \"mdb_surface_water_sdl_resource_units\",\n \"metadatapath\": \"https://data.gov.au/dataset/surface-water-sdl-resource-units\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"mdba, surface water, resources\",\n \"uid\": \"\",\n \"licence_notes\": \"CC-BY-ND\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"The surface water sustainable diversion limit (SDL) resource unit dataset defines the boundary of 29 surface water SDL areas in the proposed Murray- Darling Basin Plan.\\r\\n\\r\\nThe SDLs represent the maximum long-term average quantities of water that can be taken for consumption in any one year, i.e. the long-term average annual limit. An SDL will be set for all diversions in each of the 29 surface-water SDL areas that have been established for the Basin Plan. \",\n \"licence_level\": \"1\",\n \"source\": \"Murray-Darling Basin Authority\",\n \"citation_date\": \"2009-01-01\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAB80DA43-CB00-455D-8A3C-70162EB8D964%7D\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Biodiversity\",\n \"pid\": \"\",\n \"displayname\": \"NRM Regions 2014\",\n \"id\": 2111,\n \"grid\": false,\n \"path_orig\": \"layer/nrm2014\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 72.2462,\n \"maxlatitude\": -9.18795,\n \"licence_link\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BAB80DA43-CB00-455D-8A3C-70162EB8D964%7D\",\n \"mddatest\": \"2015-05-05\",\n \"maxlongitude\": 168.22618,\n \"dt_added\": 1439733600000,\n \"minlatitude\": -55.1731,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm2014&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nrm2014\",\n \"metadatapath\": \"http://www.environment.gov.au/fed/rest/document?id=%7BAB80DA43-CB00-455D-8A3C-70162EB8D964%7D\",\n \"type\": \"Contextual\",\n \"notes\": \"The Natural Resource Management (NRM) Regions dataset is maintained for the purpose of reporting on the Australian Government's NRM investments. The dataset is designed to cover all Australian territory where Australian Government funded NRM projects might take place and includes major islands, external territories, and state and coastal waters in addition to the NRM regional boundaries. This 2014 version marks the change in NSW from Catchment Management Authorities (CMA) to Local Land Service areas which will now be used for NRM regions in NSW. The 2012 version updated and formalised the 2010 dataset (which was an interim update of the NRM Regions 2009 dataset, released Feb 2009). The original base layer version of this dataset was released in 2006 as the Natural Heritage Trust II (NHT2) Region Boundaries dataset.\\r\\n\\r\\nWhilst the boundaries of NRM Regions are defined by legislation in some states and territories this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.\\r\\n\\r\\nSince 2006, NRM regions have been important in the delivery of Australian Government funding initiatives including Caring for our Country, the Natural Heritage Trust, the National Landcare Program, the Environmental Stewardship Program and the Working on Country Indigenous land and sea ranger program. \\r\\nIn total, this dataset represents 60 regions as set out below. They comprise 55 mainland regions administered by 54 NRM regional bodies (one region in QLD is jointly administered by two adjacent regional bodies) and seven islands (five administered by the Australian Government as external territories, and two administered by nearby mainland NRM regional bodies).\",\n \"keywords\": \"adminisration, government, landcare, heritage, local\",\n \"uid\": \"2111\",\n \"licence_notes\": \"Access constraints: This data will be made available for download from the Department's website subject to Commonwealth of Australia Copyright and a licence agreement.Limitations of use: This is an administrative dataset developed for the purpose of reporting and public information. The dataset is not a legal boundary dataset and does not represent legal boundaries in any way.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"National Resource Management (NRM) Regions 2014\",\n \"licence_level\": \"3\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2014-07-07\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.doc.govt.nz/Documents/science-and-technical/Ecoregions1.pdf\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Owner\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"NZ Ecological Districts 1987\",\n \"id\": 2115,\n \"grid\": false,\n \"path_orig\": \"layer/nzdoc_eco_districts\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 166.42377,\n \"maxlatitude\": -34.39337,\n \"licence_link\": \"http://www.doc.govt.nz/our-work/maps-and-datasets/download-doc-geospatial-data/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 178.55031,\n \"dt_added\": 1434636000000,\n \"minlatitude\": -47.29242,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nzdoc_eco_districts&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nzdoc_eco_districts\",\n \"metadatapath\": \"http://www.doc.govt.nz/our-work/maps-and-datasets/download-doc-geospatial-data/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"domain, ecology\",\n \"uid\": \"2115\",\n \"licence_notes\": \"This work is licensed under the Creative Commons Attribution 3.0 New Zealand License\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"New Zealand Ecological Districts as at 1987 (v3). Multiple Districts form Ecological regions.\",\n \"licence_level\": \"3\",\n \"source\": \"\",\n \"citation_date\": \"6/1987\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://data.linz.govt.nz/layer/785-nz-land-districts/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Owner\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"NZ Land Registration Districts\",\n \"id\": 2116,\n \"grid\": false,\n \"path_orig\": \"layer/nzdoc_land_districts\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 166.13446,\n \"maxlatitude\": -33.99975,\n \"licence_link\": \"https://data.linz.govt.nz/license/attribution-3-0-new-zealand/\",\n \"mddatest\": \"31/01/2015\",\n \"maxlongitude\": 184.49998,\n \"dt_added\": 1434376800000,\n \"minlatitude\": -47.73475,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nzdoc_land_districts&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nzdoc_land_districts\",\n \"metadatapath\": \"https://data.linz.govt.nz/layer/785-nz-land-districts/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"2116\",\n \"licence_notes\": \"Data is freely downloadable from the Statistics NZ website.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"New Zealand Land Registration Districts\",\n \"licence_level\": \"3\",\n \"source\": \"http://www.linz.govt.nz/land/land-registration/land-transfer-system/land-registration-districts\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"https://koordinates.com/layer/4240-nz-regional-councils-2012-yearly-pattern/\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"NZ Land Provinces\",\n \"id\": 2117,\n \"grid\": false,\n \"path_orig\": \"layer/nz_provinces\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 166.13865,\n \"maxlatitude\": -33.9585,\n \"licence_link\": \"https://koordinates.com/layer/4240-nz-regional-councils-2012-yearly-pattern/\",\n \"mddatest\": \"18/05/2012\",\n \"maxlongitude\": 178.83621,\n \"dt_added\": 1434376800000,\n \"minlatitude\": -47.72405,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nz_provinces&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nz_provinces\",\n \"metadatapath\": \"https://koordinates.com/layer/4240-nz-regional-councils-2012-yearly-pattern/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"history\",\n \"uid\": \"2117\",\n \"licence_notes\": \"Data is freely downloadable from the Statistics NZ website.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"NZ land provinces as existed in 1876. Superseded by Land Districts\",\n \"licence_level\": \"3\",\n \"source\": \"https://koordinates.com/layer/4240-nz-regional-councils-2012-yearly-pattern/\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.gov.au/dataset/water-quality-zones/resource/77736cb6-534e-4c18-8617-f441cd0f1532\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"Murray-Darling Basin\",\n \"pid\": \"\",\n \"displayname\": \"Murray Darling Basin Authority Water Quality Zones\",\n \"id\": 2113,\n \"grid\": false,\n \"path_orig\": \"layer/MDB_water_quality_zones\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 138.56847,\n \"maxlatitude\": -24.58562,\n \"licence_link\": \"http://data.gov.au/dataset/water-quality-zones/resource/77736cb6-534e-4c18-8617-f441cd0f1532\",\n \"mddatest\": \"2015-02-18\",\n \"maxlongitude\": 152.48855,\n \"dt_added\": 1434376800000,\n \"minlatitude\": -37.68208,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:MDB_water_quality_zones&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"MDB_water_quality_zones\",\n \"metadatapath\": \"http://data.gov.au/dataset/water-quality-zones/resource/77736cb6-534e-4c18-8617-f441cd0f1532\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"\",\n \"uid\": \"2113\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 Australia\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Murray Darling Basin Authority Water Quality Zones\",\n \"licence_level\": \"3\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid={60F60282-B651-4B8B-BA4D-ADEF46D42B29}\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Biodiversity\",\n \"pid\": \"\",\n \"displayname\": \"NRM Regions 2015\",\n \"id\": 2120,\n \"grid\": false,\n \"path_orig\": \"layer/nrm2015\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 72.2462,\n \"maxlatitude\": -9.18795,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"mddatest\": \"2015-06-15\",\n \"maxlongitude\": 168.22618,\n \"dt_added\": 1443103200000,\n \"minlatitude\": -55.1731,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nrm2015&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nrm2015\",\n \"metadatapath\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid={60F60282-B651-4B8B-BA4D-ADEF46D42B29}\",\n \"type\": \"Contextual\",\n \"notes\": \"The Natural Resource Management (NRM) Regions dataset is maintained for the purpose of reporting on the Australian Government's NRM investments. The dataset is designed to cover all Australian territory where Australian Government funded NRM projects might take place and includes major islands, external territories, and state and coastal waters in addition to the NRM regional boundaries.\\r\\n\\r\\nThis 2015 version defines the Peel-Harvey NRM region. A boundary for the newly established OceanWatch Australia Limited NRM organisation has not been spatially defined. It has responsibility for enhancing fish habitats and improving water quality in estuaries and coastal marine environments. OceanWatch works with the fishing industry to continue the adoption of industry best harvesting practice and identify issues of common interest for fishers across Australia.\\r\\n\\r\\nThe 2015 version maintains the 2014 changes in NSW from Catchment Management Authorities (CMA) to Local Land Service areas. The 2012 version updated and formalised the 2010 dataset (which was an interim update of the NRM Regions 2009 dataset, released Feb 2009). The original base layer version of this dataset was released in 2006 as the Natural Heritage Trust II (NHT2) Region Boundaries dataset. Whilst the boundaries of NRM Regions are defined by legislation in some states and territories this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.\\r\\n\\r\\nSince 2006, NRM regions have been important in the delivery of Australian Government funding initiatives including Caring for our Country, the Natural Heritage Trust, the National Landcare Program, the Environmental Stewardship Program and the Working on Country Indigenous land and sea ranger program.\\r\\n\\r\\nIn total, this dataset represents 61 regions as set out below. They comprise 56 mainland regions administered by 55 NRM regional bodies (the Cooperative Management Area in QLD is jointly administered by the two adjacent regional bodies: the Cape York and Northern Gulf NRM bodies) and seven islands (five administered by the Australian Government as external territories, and two administered by nearby mainland NRM regional bodies).\",\n \"keywords\": \"adminisration, government, landcare, heritage, local\",\n \"uid\": \"2120\",\n \"licence_notes\": \"Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. 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\"path_orig\": \"layer/capad_2012_marine\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 70.9,\n \"maxlatitude\": -8.88189,\n \"licence_link\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B9F45DF80-CB86-440C-98DD-0B206B86D712%7D\",\n \"mddatest\": \"2014-12-05\",\n \"maxlongitude\": 170.36667,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -58.44947,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:capad_2012_marine&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"capad_2012_marine\",\n \"metadatapath\": \"http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B9F45DF80-CB86-440C-98DD-0B206B86D712%7D\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"IUCN, reserve, park, conservation, wilderness\",\n \"uid\": \"2080\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"CAPAD (Collaborative Australian Protected Area Database) contains information on all protected areas in Australia, including their IUCN management categories.\",\n \"licence_level\": \"3\",\n \"source\": \"http://www.environment.gov.au/land/nrs/science/capad/2012\",\n \"citation_date\": \"2012-12-31\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"Classification\",\n \"pid\": \"\",\n \"displayname\": \"Agroclimatic classification of Australia\",\n \"id\": 2052,\n \"grid\": false,\n \"path_orig\": \"layer/agroclimate\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9,\n \"maxlatitude\": -9.125,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.65,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -43.675,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:agroclimate&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"agroclimate\",\n \"metadatapath\": \"http://onlinelibrary.wiley.com/doi/10.1111/j.1466-822X.2005.00154.x/abstract\",\n \"type\": \"Contextual\",\n \"notes\": \"Received via Janet Stein, Fenner School and co-author\",\n \"keywords\": \"agriculture, bioregions, ibra, climate\",\n \"uid\": \"2052\",\n \"licence_notes\": \"Assuming not to pass to third parties as per Fenner\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Integrating a global agro-climatic classification with bioregional boundaries in Australia\",\n \"licence_level\": \"2\",\n \"source\": \"ANU Fenner School\",\n \"citation_date\": \"2005-03\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/corporate_data/32366/32366_georegions.zip\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Geological Regions of Australia\",\n \"id\": 2020,\n \"grid\": false,\n \"path_orig\": \"layer/georegions\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.91246,\n \"maxlatitude\": -10.06136,\n \"licence_link\": \"http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-b237-7506-e044-00144fdd4fa6\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.64028,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -43.64248,\n \"scale\": \"1:5,000,000\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:georegions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"georegions\",\n \"metadatapath\": \"http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-b237-7506-e044-00144fdd4fa6\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"geology, structural, earth\",\n \"uid\": \"2020\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Substrate\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Geological Regions of Australia\",\n \"licence_level\": \"1\",\n \"source\": \"Geoscience Australia\",\n \"citation_date\": \"1988\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.001July%202011?OpenDocument\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"ASGS Australian States and Territories\",\n \"id\": 2013,\n \"grid\": false,\n \"path_orig\": \"layer/asgs_aust_11\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 96.81694,\n \"maxlatitude\": -9.14218,\n \"licence_link\": \"http://abs.gov.au/AUSSTATS/abs@.nsf/Lookup/1270.0.55.001Explanatory%20Notes1July%202011?OpenDocument\",\n \"mddatest\": \"2011-07\",\n \"maxlongitude\": 159.10922,\n \"dt_added\": 1426683600000,\n \"minlatitude\": -43.74051,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:asgs_aust_11&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"asgs_aust_11\",\n \"metadatapath\": \"http://abs.gov.au/AUSSTATS/abs@.nsf/Lookup/1270.0.55.001Explanatory%20Notes1July%202011?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"The Australian Statistical Geography Standard (ASGS) is a hierarchical classification system of geographical regions and consists of a number of interrelated structures. The ASGS brings all the regions for which the Australian Bureau of Statistics (ABS) publishes statistics within the one framework and will be used by the ABS for the collection and dissemination of geographically classified statistics from the 1 July 2011. It provides a common framework of statistical geography and enables the production of statistics which are comparable and can be spatially integrated.\",\n \"keywords\": \"boundary, boundaries, coastline\",\n \"uid\": \"2013\",\n \"licence_notes\": \"Copyright Commonwealth of Australia administered by the ABS\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Australian Statistical Geography Standard Australian States and Territories\",\n \"licence_level\": \"1\",\n \"source\": \"Australian Bureau of Statistics\",\n \"citation_date\": \"2011-07\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/ger-corridor-spatial-information\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"GER Kanangra-Boyd to Wyangala Link 2014\",\n \"id\": 2050,\n \"grid\": false,\n \"path_orig\": \"layer/ger_kanangra_wyangala\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 148.87569,\n \"maxlatitude\": -33.80663,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 150.0888,\n \"dt_added\": 1412859600000,\n \"minlatitude\": -34.36665,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_kanangra_wyangala&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ger_kanangra_wyangala\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"GER\",\n \"uid\": \"2050\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact GER Initiative.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"GER Kanangra-Boyd to Wyangala Link\",\n \"licence_level\": \"1\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/ger-corridor-spatial-information\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"Great Eastern Ranges Initiative\",\n \"id\": 2049,\n \"grid\": false,\n \"path_orig\": \"layer/ger_initiative\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 142.16623,\n \"maxlatitude\": -15.48853,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.62518,\n \"dt_added\": 1412859600000,\n \"minlatitude\": -38.15889,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_initiative&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ger_initiative\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"GER\",\n \"uid\": \"2049\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please contact GER Initiative.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"GER Great Eastern Ranges Initiative\",\n \"licence_level\": \"1\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.greateasternranges.org.au/ger-corridor-spatial-information\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Great Eastern Ranges\",\n \"pid\": \"\",\n \"displayname\": \"GER Central Victorial Biolinks\",\n \"id\": 2048,\n \"grid\": false,\n \"path_orig\": \"layer/ger_cvb2\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 142.25965,\n \"maxlatitude\": -36.01029,\n \"licence_link\": \"\",\n \"mddatest\": \"\",\n \"maxlongitude\": 147.18476,\n \"dt_added\": 1412859600000,\n \"minlatitude\": -37.90601,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ger_cvb2&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ger_cvb2\",\n \"metadatapath\": \"http://www.greateasternranges.org.au/contact-us/great-eastern-ranges-team/\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"GER\",\n \"uid\": \"2048\",\n \"licence_notes\": \"rmission required to re-distribute derivative works. Please contact GER Initiative.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"GER Central Victorial Biolinks\",\n \"licence_level\": \"1\",\n \"source\": \"\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"Culture\",\n \"pid\": \"\",\n \"displayname\": \"Indigenous Protected Areas 2013\",\n \"id\": 2015,\n \"grid\": false,\n \"path_orig\": \"layer/ipa_7aug13\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 117.1633,\n \"maxlatitude\": -9.51202,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.46775,\n \"dt_added\": 1401112800000,\n \"minlatitude\": -43.11316,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ipa_7aug13&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ipa_7aug13\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId=%7B282529E7-6C76-4C15-9C1C-B1F7325C6B7C%7D&loggedIn=false\",\n \"type\": \"Contextual\",\n \"notes\": \"This dataset details the Declared Indigenous Protected Areas (IPA) across Australia through the implementation of the Indigenous Protected Areas Programme. These boundaries are not legally binding.\\r\\n\\r\\nAn Indigenous Protected Area (IPA) is an area of Indigenous-owned land or sea where traditional Indigenous owners have entered into an agreement with the Australian Government to promote biodiversity and cultural resource conservation.\\r\\n\\r\\nThe Indigenous Protected Areas element of the Caring for our Country initiative supports Indigenous communities to manage their land as IPAs, contributing to the National Reserve System. Further information can be found at the website below.\\r\\n\\r\\nhttp://www.environment.gov.au/indigenous/ipa/index.html\",\n \"keywords\": \"native, land, aboriginal\",\n \"uid\": \"2015\",\n \"licence_notes\": \"It is the responsibility of the person using the IPA dataset to always check the metadata for the currency date within each jurisdiction and if required seek advice from the IPA Programme on details of more recent gazettals of protected areas.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"Indigenous Protected Areas as at August 2013\",\n \"licence_level\": \"3\",\n \"source\": \"http://www.nntt.gov.au/Pages/default.aspx\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=78643\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Culture\",\n \"pid\": \"\",\n \"displayname\": \"Indigenous Land Use Agreements\",\n \"id\": 2010,\n \"grid\": false,\n \"path_orig\": \"layer/ilua\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 114.52963,\n \"maxlatitude\": -9.22883,\n \"licence_link\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=ga-1&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=indigenous%20land%20use%20agreements&cclterm2=&cclterm3=&start=1&number=1\",\n \"mddatest\": \"2013-12\",\n \"maxlongitude\": 153.63883,\n \"dt_added\": 1401112800000,\n \"minlatitude\": -38.78879,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ilua&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ilua\",\n \"metadatapath\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=ga-1&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=indigenous%20land%20use%20agreements&cclterm2=&cclterm3=&start=1&number=1\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"aboriginal, tribunal, land\",\n \"uid\": \"2010\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"Registered and Notified Indigenous Land Use Agreements (ILUA) - agreement boundaries and core attributes about agreement\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.nntt.gov.au/Pages/default.aspx\",\n \"citation_date\": \"2013-12\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=ga-1&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=native%20title%20determination&cclterm2=&cclterm3=&start=1&number=1\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Culture\",\n \"pid\": \"\",\n \"displayname\": \"National Native Title Register (NNTR, Determinations of Native Title) - boundaries and core attributes\",\n \"id\": 2009,\n \"grid\": false,\n \"path_orig\": \"layer/ntd\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 114.52963,\n \"maxlatitude\": -9.08799,\n \"licence_link\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=ga-1&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=native%20title%20determination&cclterm2=&cclterm3=&start=1&number=1\",\n \"mddatest\": \"2014-05\",\n \"maxlongitude\": 153.62647,\n \"dt_added\": 1401112800000,\n \"minlatitude\": -38.78879,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ntd&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ntd\",\n \"metadatapath\": \"http://asdd.ga.gov.au/asdd/tech/zap/basic-full.zap?&target=ga-1&syntax=html&cclfield1=all&cclfield2=phrase&cclfield3=any&cclterm1=native%20title%20determination&cclterm2=&cclterm3=&start=1&number=1\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"aboriginal, land, tribunal\",\n \"uid\": \"2009\",\n \"licence_notes\": \"Free download\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"This dataset reflects the boundaries of claimant and nonclaimant native title applications that have been determined in part or in full, together with attribution about that determination. This dataset is stored nationally. The National Native Title Register (s192, Native Title Act, Commonwealth), is a register containing information about each determination of native title by the Federal or High Court or by a recognized State or Territory body. Determinations are categorized by both process and outcome. Process will be by consent, litigation or unopposed. Outcome will be that native title will have been found to exist in full or part, or been extinguished. Those determinations subject to appeal are also noted.\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.nntt.gov.au/\",\n \"citation_date\": \"2014\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.lls.nsw.gov.au/\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"NSW Local Land Services Regions\",\n \"id\": 2012,\n \"grid\": false,\n \"path_orig\": \"layer/nswlls\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 140.99928,\n \"maxlatitude\": -28.15702,\n \"licence_link\": \"http://www.lls.nsw.gov.au/\",\n \"mddatest\": \"2013-05\",\n \"maxlongitude\": 153.63883,\n \"dt_added\": 1401112800000,\n \"minlatitude\": -37.50508,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nswlls&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nswlls\",\n \"metadatapath\": \"http://www.lls.nsw.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"No metadata available yet\",\n \"keywords\": \"LGA, region\",\n \"uid\": \"2012\",\n \"licence_notes\": \"\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"NSW Local Land Services regional boundaries were determined in 2013 following extensive community consultation. They are a composite of Local Government Areas\",\n \"licence_level\": \"\",\n \"source\": \"http://www.lls.nsw.gov.au/\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.bom.gov.au/jsp/ncc/climate_averages/climate-classifications/index.jsp?maptype=kpn#maps\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Classification\",\n \"pid\": \"\",\n \"displayname\": \"Koppen Climate Classification (All Classes)\",\n \"id\": 1085,\n \"grid\": false,\n \"path_orig\": \"layer/koppen_all_classes\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 113.15496,\n \"maxlatitude\": -10.68902,\n \"licence_link\": \"http://www.bom.gov.au/climate/averages/climatology/gridded-data-info/metadata/md_koppen_classification.shtml\",\n \"mddatest\": \"2013_11\",\n \"maxlongitude\": 153.63727,\n \"dt_added\": 1384866000000,\n \"minlatitude\": -43.64439,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:koppen_all_classes&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"koppen_all_classes\",\n \"metadatapath\": \"http://www.bom.gov.au/climate/averages/climatology/gridded-data-info/metadata/md_koppen_classification.shtml\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"Grid, rainfall, temperature, classification, meteorology\",\n \"uid\": \"1085\",\n \"licence_notes\": \"Commonwealth of Australia but free open access (CC-BY)\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Koppen Climate Classification (All Classes)\",\n \"licence_level\": \"1\",\n \"source\": \"BoM\",\n \"citation_date\": \"1990\"\n },\n {\n \"source_link\": \"http://koordinates.com/license/attribution-3-0-new-zealand/\",\n \"shape\": true,\n \"pid\": \"\",\n \"displayname\": \"NZ DOC Public Conservation Areas\",\n \"id\": 1061,\n \"grid\": false,\n \"path_orig\": \"layer/nz-doc-public-conservation\",\n \"minlongitude\": -179.14917,\n \"maxlatitude\": -29.03033,\n \"maxlongitude\": 179.06786,\n \"dt_added\": 1369317600000,\n \"minlatitude\": -52.62092,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nz-doc-public-conservation&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nz-doc-public-conservation\",\n \"metadatapath\": \"http://lris.scinfo.org.nz/layer/304-lcdb-v30-land-cover-database-version-3/\",\n \"type\": \"Contextual\",\n \"notes\": \"Public Conservation Areas - spatial representation of DOC's management units (conservation units) defined by various acts of parliament and legislation. The attributes in this dataset have been derived from DOC's Land Register to provide additional information.\",\n \"uid\": \"1061\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 New Zealand\",\n \"classification1\": \"Area Management\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"NZ DOC Public Conservation Areas\",\n \"licence_level\": \"3\",\n \"source\": \"NZ Department of Conservation\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.bom.gov.au/jsp/ncc/climate_averages/climate-classifications/index.jsp?maptype=kpngrp#maps\",\n \"datalang\": \"Eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"resourceProvider\",\n \"classification2\": \"Classification\",\n \"pid\": \"\",\n \"displayname\": \"Koppen Climate Classification (Major Classes)\",\n \"id\": 1084,\n \"grid\": false,\n \"path_orig\": \"layer/koppen\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 113.1551,\n \"maxlatitude\": -10.68902,\n \"licence_link\": \"http://www.bom.gov.au/climate/map/climate_classifications/koeppen-metadata.pdf\",\n \"mddatest\": \"1990\",\n \"maxlongitude\": 153.63727,\n \"dt_added\": 1381842000000,\n \"minlatitude\": -43.64434,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:koppen&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"koppen\",\n \"metadatapath\": \"http://www.bom.gov.au/climate/map/climate_classifications/koeppen-metadata.pdf\",\n \"type\": \"Contextual\",\n \"notes\": \"http://www.bom.gov.au/climate/environ/other/koppen_explain.shtml\",\n \"keywords\": \"temperature, precipitation, humidity, desert, grassland, equatorial, tropical, polar\",\n \"uid\": \"2007\",\n \"licence_notes\": \"ght for any data supplied by the Bureau of Meteorology is held in the Commonwealth of Australia and the purchaser shall give acknowledgement of the source in reference to the data. Apart from dealings under the Copyright Act 1968, the purchaser shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) these data without written permission from BoM.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Climate\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"An objective classification of the climate of Australia modified from Koppen\",\n \"licence_level\": \"1\",\n \"source\": \"BoM\",\n \"citation_date\": \"1990\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://lris.scinfo.org.nz/license/attribution-3-0-new-zealand/\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"NZ Land Cover Database Version 3\",\n \"id\": 1060,\n \"grid\": false,\n \"path_orig\": \"layer/nz-lcdb3\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 166.42615,\n \"maxlatitude\": -34.12957,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 178.57815,\n \"dt_added\": 1369663200000,\n \"minlatitude\": -47.29,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:nz-lcdb3&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"nz-lcdb3\",\n \"metadatapath\": \"http://koordinates.com/layer/754-doc-public-conservation-areas/#/layer/754-doc-public-conservation-areas/metadata/\",\n \"type\": \"Contextual\",\n \"notes\": \"This database (LCDB) is a thematic classification of land cover and land use\\r\\n classes. The current version LCDB v3 contains 33 classes designed to be\\r\\n compatible with earlier LCDB versions. The polygon features contain a code and\\r\\n boundary representing the land cover type at each of three periods; summer\\r\\n 1996/97, summer 2001/02, and summer 2008/09. The data set was designed to be\\r\\n compatible in scale and accuracy with Land Information New Zealand’s 1:50,000\\r\\n topographic database. LCDB is intended to be used in areas such as state of\\r\\n environmental monitoring, forest and shrubland inventory, biodiversity\\r\\n assessment, trend analysis and infrastructure planning.\",\n \"keywords\": \"\",\n \"uid\": \"1060\",\n \"licence_notes\": \"Creative Commons Attribution 3.0 New Zealand\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"NZ Land Cover Database Version 3\",\n \"licence_level\": \"3\",\n \"source\": \"NZ Landcare Research\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/meta/ANZCW0703007842.xml\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Protected Zones\",\n \"pid\": \"\",\n \"displayname\": \"Protected Zone - Australia Papua New Guinea\",\n \"id\": 937,\n \"grid\": false,\n \"path_orig\": \"layer/pz_apng\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 141.33444,\n \"maxlatitude\": -9.08801,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2011-11\",\n \"maxlongitude\": 144.46774,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -10.46519,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pz_apng&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"pz_apng\",\n \"metadatapath\": \"http://www.ga.gov.au/meta/ANZCW0703007842.xml\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"sds\",\n \"uid\": \"937\",\n \"licence_notes\": \"Attribution: (c) Commonwealth of Australia (Geoscience Australia) 2006 Licence: CC-BY-3.0 Creative Commons Attribution 3.0 Australia\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Protected Zone - Australia Papua New Guinea\",\n \"licence_level\": \"3\",\n \"source\": \"GA\",\n \"citation_date\": \"2001-09 to 2006-02-17\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1259.0.30.001July%202011?OpenDocument\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Statistical Local Areas\",\n \"id\": 987,\n \"grid\": false,\n \"path_orig\": \"layer/sla_aust\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 96.81694,\n \"maxlatitude\": -9.14218,\n \"licence_link\": \"\",\n \"mddatest\": \"2012-04\",\n \"maxlongitude\": 159.10922,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -43.74051,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:sla_aust&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"sla_aust\",\n \"metadatapath\": \"http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/1259.0.30.001Explanatory%20Notes10July%202011?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"\",\n \"keywords\": \"sla\",\n \"uid\": \"987\",\n \"licence_notes\": \"Copyright Commonwealth of Australia administered by the ABS \",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Political\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Statistical Local Areas\",\n \"licence_level\": \"1\",\n \"source\": \"ABS\",\n \"citation_date\": \"2011-07\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/documents/terrestrial-ecoregional-boundaries-tnc/view.html\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"Terrestrial Ecoregional Boundaries\",\n \"id\": 1053,\n \"grid\": false,\n \"path_orig\": \"layer/teow\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 83.6236,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nc-sa/3.0/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 180,\n \"dt_added\": 1348668000000,\n \"minlatitude\": -89.9,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:teow&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"teow\",\n \"metadatapath\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/documents/terrestrial-ecoregional-boundaries-tnc/view.html\",\n \"type\": \"Contextual\",\n \"notes\": \"This is the master spatial data layer for TNC's terrestrial ecoregions of the world, exported from the geodatabase listed above. Note that it includes Mangroves, Inland Water, and Rock and Ice MHTs, although they are not being handled by terrestrial assessments. This version has undergone substantial updates, and was split from the ecoregional assessment layer in June 2008.\",\n \"keywords\": \"wwf\",\n \"uid\": \"1053\",\n \"licence_notes\": \"Attribution Non-commercial Share Alike\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Terrestrial Ecoregional Boundaries\",\n \"licence_level\": \"3\",\n \"source\": \"The Nature Conservancy\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.bom.gov.au/water/geofabric/download.shtml\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Drainage Divisions Level 2\",\n \"id\": 1059,\n \"grid\": false,\n \"path_orig\": \"layer/drainage_divisions_level2\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9225,\n \"maxlatitude\": -9.1975,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.6375,\n \"dt_added\": 1369663200000,\n \"minlatitude\": -43.74,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:drainage_divisions_level2&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"drainage_divisions_level2\",\n \"metadatapath\": \"http://www.bom.gov.au/water/geofabric/index.shtml\",\n \"type\": \"Contextual\",\n \"notes\": \"The Geofabric Surface Catchments product is derived from the National Catchment Boundaries (NCB) V1.1.4. This data defines a catchment for every stream segment containd within the Geofabric Surface Network product according to the GEODATA Nine Decond Digitial Elevation Model (DEM-9S) Version 3. These stream segment level boundaries may be used individually or in aggregation. The product is designed to represent geographic surface boundaries that have a hydrological relationship to surface water features. The NCB Level 1 and NCB Level 2 features are the top two levels in the NCB Catchment hierarchy and have been provided as polygon boundaries. \",\n \"keywords\": \"geofabric, catchment\",\n \"uid\": \"1059\",\n \"licence_notes\": \"Geofabric 2012 (V2.1) data is licenced for use under Creative Commons Australia Attribution. We request attribution as © Commonwealth of Australia (Bureau of Meteorology)2012 See http://creativecommons.org/licenses/by/3.0/au/deed.en \",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Drainage Divisions Level 2\",\n \"licence_level\": \"3\",\n \"source\": \"Bureau of Meterology\",\n \"citation_date\": \"\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.bom.gov.au/water/geofabric/download.shtml\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Drainage Divisions Level 1\",\n \"id\": 1058,\n \"grid\": false,\n \"path_orig\": \"layer/awra_drainage_divisions\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.9225,\n \"maxlatitude\": -9.23,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 153.6375,\n \"dt_added\": 1369663200000,\n \"minlatitude\": -43.6425,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:awra_drainage_divisions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"awra_drainage_divisions\",\n \"metadatapath\": \"http://www.bom.gov.au/water/geofabric/index.shtml\",\n \"type\": \"Contextual\",\n \"notes\": \"The Geofabric Surface Catchments product is derived from the National Catchment Boundaries (NCB) V1.1.4. This data defines a catchment for every stream segment containd within the Geofabric Surface Network product according to the GEODATA Nine Decond Digitial Elevation Model (DEM-9S) Version 3. These stream segment level boundaries may be used individually or in aggregation. The product is designed to represent geographic surface boundaries that have a hydrological relationship to surface water features. The NCB Level 1 and NCB Level 2 features are the top two levels in the NCB Catchment hierarchy and have been provided as polygon boundaries. \",\n \"keywords\": \"geofabric, catchment\",\n \"uid\": \"1058\",\n \"licence_notes\": \"Geofabric 2012 (V2.1) data is licenced for use under Creative Commons Australia Attribution. We request attribution as © Commonwealth of Australia (Bureau of Meteorology)2012 See http://creativecommons.org/licenses/by/3.0/au/deed.en \",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Drainage Divisions Level 1\",\n \"licence_level\": \"3\",\n \"source\": \"Bureau of Meterology\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.bom.gov.au/water/geofabric/download.shtml\",\n \"shape\": true,\n \"displayname\": \"River Regions\",\n \"id\": 1057,\n \"grid\": false,\n \"path_orig\": \"layer/river_regions\",\n \"minlongitude\": 112.9225,\n \"maxlatitude\": -9.23,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"maxlongitude\": 153.6375,\n \"dt_added\": 1369663200000,\n \"minlatitude\": -43.6425,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:river_regions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"river_regions\",\n \"metadatapath\": \"http://www.bom.gov.au/water/geofabric/index.shtml\",\n \"type\": \"Contextual\",\n \"notes\": \"The River Regions were based on a specification developed by Bureau hydrologists involved in water resources assessment in consultation with the Geofabric team and scientists from CSIRO and ANU. These boundaries were developed for use in regional scale reporting and hydrological modelling. The River Region boundaries were not used in the Australian Water Resources Assessment 2010 but may be considered in the future as the resolution of reporting increases. \\r\\nThough the Geofabric Hydrology Reporting Regions have been developed for the purposes of the Australian Water Resources Assessment, it is envisaged that these units can be used more generally as a standard for hydrological reporting at the national and regional scale, and thus replace the Australia River Basins 1997 (www.ga.gov.au/meta/ANZCW0703005427.html).\",\n \"keywords\": \"geofabric\",\n \"uid\": \"1057\",\n \"licence_notes\": \"Geofabric 2012 (V2.1) data is licenced for use under Creative Commons Australia Attribution. We request attribution as © Commonwealth of Australia (Bureau of Meteorology)2012 See http://creativecommons.org/licenses/by/3.0/au/deed.en \",\n \"classification1\": \"Hydrology\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"River Regions\",\n \"licence_level\": \"3\",\n \"source\": \"Bureau of Meterology\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/documents/feow-0/view.html\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Region\",\n \"pid\": \"\",\n \"displayname\": \"Freshwater Ecoregions of the World\",\n \"id\": 1052,\n \"grid\": false,\n \"path_orig\": \"layer/feow\",\n \"mdhrlv\": \"\",\n \"minlongitude\": -180,\n \"maxlatitude\": 83.6236,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nc-sa/3.0/\",\n \"mddatest\": \"\",\n \"maxlongitude\": 180,\n \"dt_added\": 1348668000000,\n \"minlatitude\": -90,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:feow&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"feow\",\n \"metadatapath\": \"http://conserveonline.org/workspaces/ecoregional.shapefile/documents/feow-0/view.html\",\n \"type\": \"Contextual\",\n \"notes\": \"Freshwater Ecoregions of the World, (FEOW) provides a new global biogeographic regionalization of the Earth's freshwater biodiversity. Covering virtually all freshwater habitats on Earth, this first-ever ecoregion map, together with associated species data, is a useful tool for underpinning global and regional conservation planning efforts, particularly to identify outstanding and imperiled freshwater systems; for serving as a logical framework for large-scale conservation strategies; and for providing a global-scale knowledge base for increasing freshwater biogeographic literacy. Read more at www.feow.org This version of the FEOW, modified by The Nature Conservancy, includes additional tabular data describing Major Habitat Types (MHTs, similar to terrestrial biomes). These MHTs were developed by TNC and WWF, Inc., but have not undergone rigorous review and are as of yet unpublished. All ecoregions are nested within the eleven MHTs' boundaries.\",\n \"keywords\": \"wwf\",\n \"uid\": \"1052\",\n \"licence_notes\": \"Attribution Non-commercial Share Alike\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Freshwater Ecoregions of the World\",\n \"licence_level\": \"3\",\n \"source\": \"The Nature Conservancy\",\n \"citation_date\": \"\"\n },\n {\n \"source_link\": \"http://www.environment.gov.au/metadataexplorer/explorer.jsp (search for 'IBRA' in \\\"Search title\\\" field)\",\n \"shape\": true,\n \"classification2\": \"Region\",\n \"displayname\": \"IBRA 7 Subregions\",\n \"id\": 1049,\n \"grid\": false,\n \"path_orig\": \"layer/ibra7_subregions\",\n \"minlongitude\": 72.57738,\n \"maxlatitude\": -9.14129,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"maxlongitude\": 167.99814,\n \"dt_added\": 1348495200000,\n \"minlatitude\": -54.77699,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra7_subregions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ibra7_subregions\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId=%7BC88F4317-42B0-4D4B-AC5D-47F6ACF1A24F%7D&loggedIn=false\",\n \"type\": \"Contextual\",\n \"notes\": \"Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 sub regions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica). IBRA Version 7.0 data consists of two datasets. IBRA bioregions, which is a larger scale regional classification of homogenous ecosystems, and sub regions, which are more localised. IBRA Version 7.0 is the result of both significant changes to certain IBRA 6.1 boundaries, plus refinement of other boundaries due to better data availability amongst some states and territories, and alterations by the states/territories along state borders. The updated boundaries were jointly defined by the Commonwealth, State and Territory nature and conservation agencies. In this respect refinements were carried out to all mainland jurisdictions with significant changes in Queensland and South Australia. In addition the dataset was also updated to more closely conform to the Geoscience Australia 1:100K State borders, and a standard coding/naming convention introduced (for both regions and sub-regions) resulting in differences to both names and codes used in earlier IBRA Versions.\\r\\nVarious sources were used to delineate islands - these included the GA100K Admin layer plus the Australian Maritime Boundaries dataset, a Coral Sea dataset (held in ERIN) and the GA Commonwealth Fisheries 2006 dataset.\",\n \"keywords\": \"bioregion, ecoregion, system\",\n \"uid\": \"1049\",\n \"licence_notes\": \"Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. \\r\\nMore information can be found here: http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"classification1\": \"Biodiversity\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"IBRA 7 Subregions\",\n \"licence_level\": \"3\",\n \"source\": \"DSEWPaC\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.ga.gov.au/scientific-topics/hazards/flood/wofs\",\n \"datalang\": \"\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": false,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"Author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Water Observations From Space\",\n \"id\": 2126,\n \"grid\": true,\n \"path_orig\": \"layer/wofs_filtered\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112,\n \"maxlatitude\": -10,\n \"licence_link\": \"http://www.ga.gov.au/metadata-gateway/metadata/record/81568/\",\n \"mddatest\": \"2014\",\n \"maxlongitude\": 154,\n \"dt_added\": 1448542800000,\n \"minlatitude\": -44,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:wofs_filtered&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/diva/wofs.grd\",\n \"name\": \"wofs_filtered\",\n \"metadatapath\": \"http://www.ga.gov.au/metadata-gateway/metadata/record/81568/\",\n \"type\": \"Environmental\",\n \"notes\": \"\",\n \"keywords\": \"satellite, inundation, flood, hazard, intermittent, stream, river, lake, estuary\",\n \"uid\": \"2126\",\n \"licence_notes\": \"Creative Commons Attribution 4.0 International Licence\",\n \"environmentalvaluemax\": \"100\",\n \"classification1\": \"Hydrology\",\n \"environmentalvalueunits\": \"Percentage\",\n \"enabled\": true,\n \"domain\": \"Freshwater\",\n \"description\": \"WOfS displays the detected surface water from the Australia-wide Landsat 5 and Landsat 7 satellite imagery archive. The aim of WOfS is to better understand where water is usually present; where it is seldom observed; and where inundation of the surface has been occasionally observed by satellite. The total dataset contains the number of clear satellite observations over the period (1987-2014), the number of occasions water was detected, the percentage of clear observations on which water was detected, the confidence (or probability) that a water observation in this location is correct (a percentage, based on a number of factors including the slope of the land and the existence of other corroborative evidence) and the percentage of clear observations on which water was detected, filtered for confidence. It is this LAST layer ONLY that is provided in the ALA.\",\n \"licence_level\": \"3\",\n \"source\": \"http://www.ga.gov.au/scientific-topics/hazards/flood/wofs/water-observations-from-space-access-details\",\n \"citation_date\": \"2014\"\n },\n {\n \"source_link\": \"http://www.environment.gov.au/metadataexplorer/explorer.jsp (search for 'IBRA' in \\\"Search title\\\" field)\",\n \"shape\": true,\n \"classification2\": \"Region\",\n \"displayname\": \"IBRA 7 Regions\",\n \"id\": 1048,\n \"grid\": false,\n \"path_orig\": \"layer/ibra7_regions\",\n \"minlongitude\": 72.57738,\n \"maxlatitude\": -9.14129,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"maxlongitude\": 167.99814,\n \"dt_added\": 1348495200000,\n \"minlatitude\": -54.77699,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ibra7_regions&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ibra7_regions\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId=%7B573FA186-1997-4F8B-BCF8-58B5876A156B%7D&loggedIn=false\",\n \"type\": \"Contextual\",\n \"notes\": \"Interim Biogeographic Regionalisation for Australia (IBRA) version 7.0 represents a landscape based approach to classifying the land surface of Australia. 89 biogeographic regions and 419 sub regions have been delineated, each reflecting a unifying set of major environmental influences which shape the occurrence of flora and fauna and their interaction with the physical environment across Australia and its external territories (excluding Antarctica). IBRA Version 7.0 data consists of two datasets. IBRA bioregions, which is a larger scale regional classification of homogenous ecosystems, and sub regions, which are more localised. IBRA Version 7.0 is the result of both significant changes to certain IBRA 6.1 boundaries, plus refinement of other boundaries due to better data availability amongst some states and territories, and alterations by the states/territories along state borders. The updated boundaries were jointly defined by the Commonwealth, State and Territory nature and conservation agencies. In this respect refinements were carried out to all mainland jurisdictions with significant changes in Queensland and South Australia. In addition the dataset was also updated to more closely conform to the Geoscience Australia 1:100K State borders, and a standard coding/naming convention introduced (for both regions and sub-regions) resulting in differences to both names and codes used in earlier IBRA Versions.\\r\\nVarious sources were used to delineate islands - these included the GA100K Admin layer plus the Australian Maritime Boundaries dataset, a Coral Sea dataset (held in ERIN) and the GA Commonwealth Fisheries 2006 dataset.\",\n \"keywords\": \"bioregion, ecoregion, system\",\n \"uid\": \"1048\",\n \"licence_notes\": \"Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. \\r\\nMore information can be found here: http://creativecommons.org/licenses/by/3.0/au/deed.en\",\n \"classification1\": \"Biodiversity\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Interim Biogeographic Regionalisation for Australia (IBRA), Version 7 (Regions)\",\n \"licence_level\": \"3\",\n \"source\": \"DSEWPaC\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.nsw.gov.au\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Phylloxera Infection Zones\",\n \"pid\": \"\",\n \"displayname\": \"Phylloxera Infection Zone - Sydney, New South Wales\",\n \"id\": 940,\n \"grid\": false,\n \"path_orig\": \"layer/phylloxera_sydney\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 150.26505,\n \"maxlatitude\": -33.37857,\n \"licence_link\": \"\",\n \"mddatest\": \"2011-11\",\n \"maxlongitude\": 151.34275,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -34.55531,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:phylloxera_sydney&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"phylloxera_sydney\",\n \"metadatapath\": \"http://www.dpi.nsw.gov.au/__data/assets/pdf_file/0020/101756/P176.pdf\",\n \"type\": \"Contextual\",\n \"notes\": \"http://www.dpi.nsw.gov.au/__data/assets/pdf_file/0018/116811/sydney-basin-phylloxera-infested-zone.pdf\",\n \"keywords\": \"sds\",\n \"uid\": \"940\",\n \"licence_notes\": \"Please contact NSW DPI for terms of use. www.dpi.nsw.gov.au/biosecurity/plant \",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Phylloxera Infection Zone - Sydney, New South Wales\",\n \"licence_level\": \"0\",\n \"source\": \"www.dpi.nsw.gov.au/biosecurity/plant \",\n \"citation_date\": \"2006\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Tillage practice - dominant (area)\",\n \"id\": 605,\n \"grid\": false,\n \"path_orig\": \"layer/til_dom_ha_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:til_dom_ha_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/til_dom_ha_01.tif\",\n \"name\": \"til_dom_ha_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant fallow practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the cereal area.\",\n \"keywords\": \"farm, cereal, SLA, manage\",\n \"uid\": \"605\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant tillage practice for cereal farmers, based on area in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Tillage practice - dominant (number)\",\n \"id\": 611,\n \"grid\": false,\n \"path_orig\": \"layer/til_dom_no_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:til_dom_no_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/til_dom_no_01.tif\",\n \"name\": \"til_dom_no_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant fallow practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the number of respondents.\",\n \"keywords\": \"farm, cereal, SLA, manage\",\n \"uid\": \"611\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant tillage practice for cereal farmers, based on number of respondents in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"processor\",\n \"displayname\": \"Land use\",\n \"id\": 678,\n \"grid\": false,\n \"path_orig\": \"layer/landuse\",\n \"minlongitude\": 112.91646,\n \"maxlatitude\": -9.22397,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:landuse&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Land/landuse.tif\",\n \"name\": \"landuse\",\n \"metadatapath\": \"http://adl.brs.gov.au/mapserv/landuse/\",\n \"type\": \"Contextual\",\n \"notes\": \"Merged a compilation of the most current landuse data provided to BRS from state ACLUMP partners as at May 2009\",\n \"keywords\": \"landuse, manage\",\n \"uid\": \"678\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"17\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Catchment scale land use (ALUM secondary class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"1997-2009\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Fallow practice - dominant (area)\",\n \"id\": 612,\n \"grid\": false,\n \"path_orig\": \"layer/fal_dom_ha_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:fal_dom_ha_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/fal_dom_ha_01.tif\",\n \"name\": \"fal_dom_ha_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant fallow practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the cereal area.\",\n \"keywords\": \"farm, SLA, cereal, manage\",\n \"uid\": \"612\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant fallow practice for cereal farmers, based on area in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Irrigation practice - dominant\",\n \"id\": 613,\n \"grid\": false,\n \"path_orig\": \"layer/irr_dom_no_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:irr_dom_no_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/irr_dom_no_01.tif\",\n \"name\": \"irr_dom_no_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant irrigation practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the number of respondents.\",\n \"keywords\": \"farm, SLA, water, manage\",\n \"uid\": \"613\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant irrigation practices for cereal farmers, based on number of respondents in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"classification2\": \"Farming\",\n \"displayname\": \"Stubble practice - dominant (area)\",\n \"id\": 614,\n \"grid\": false,\n \"path_orig\": \"layer/st_dom_ha_01\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:st_dom_ha_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/st_dom_ha_01.tif\",\n \"name\": \"st_dom_ha_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant stubble practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the cereal area.\",\n \"keywords\": \"farm, cereal, SLA, manage\",\n \"uid\": \"614\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant stubble practice for cereal farmers, based on area in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Farming\",\n \"pid\": \"\",\n \"displayname\": \"Stubble practice - dominant (number)\",\n \"id\": 606,\n \"grid\": false,\n \"path_orig\": \"layer/st_dom_no_01\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.92647,\n \"maxlatitude\": -9.50395,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.6377,\n \"dt_added\": 1340200800000,\n \"minlatitude\": -43.66225,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:st_dom_no_01&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/LMPs/st_dom_no_01.tif\",\n \"name\": \"st_dom_no_01\",\n \"metadatapath\": \"http://www.abs.gov.au/ausstats/abs@.nsf/dossbytitle/AD7C6DD1D14FB809CA256BD000272737?OpenDocument\",\n \"type\": \"Contextual\",\n \"notes\": \"From customised ABS industry data for the 2000-01 Agricultural Census, BRS determined the dominant stubble practice used by cereal farmers as that with the highest percentage (noting that farmers may undertake more than one practice on a property). If percentages are equal or no practices were reported, the SLA will be shown as No dominant practice. Dominance for this dataset was based on the number of respondents.\",\n \"keywords\": \"farm, cereal, SLA, manage\",\n \"uid\": \"606\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009The Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"999\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Dominant stubble practice for cereal farmers, based on number of respondents in 2000-2001 by SLA (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2000-2001\"\n },\n {\n \"source_link\": \"http://www.daff.gov.au/abares/data/mcass\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"1\",\n \"shape\": true,\n \"lookuptablepath\": \"http://adl.brs.gov.au/mapserv/intveg/index.htm\",\n \"displayname\": \"Land cover\",\n \"id\": 618,\n \"grid\": false,\n \"path_orig\": \"layer/landcover\",\n \"minlongitude\": 112.94649,\n \"maxlatitude\": -10.5539,\n \"licence_link\": \"http://adl.brs.gov.au/anrdl/licence/AuGovBRS.txt, http://adl.brs.gov.au/anrdl/metadata_files/pb_dpk09g9abl_01411a02.xml\",\n \"mddatest\": \"2009-08\",\n \"maxlongitude\": 153.60767,\n \"dt_added\": 1337868000000,\n \"minlatitude\": -43.60225,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:landcover&format=image/png&styles=\",\n \"path\": \"/mnt/transfer/MCAS_1k_Datapack/Vegetation/landcover.tif\",\n \"name\": \"landcover\",\n \"metadatapath\": \"http://adl.brs.gov.au/mapserv/intveg/index.html\",\n \"type\": \"Contextual\",\n \"notes\": \"Resampled from Integrated vegetation data 2008.\",\n \"keywords\": \"vegetation\",\n \"uid\": \"618\",\n \"licence_notes\": \"Copyright Commonwealth of Australia 2009\\nThe Commonwealth gives no warranty regarding the Products accuracy, completeness, currency or suitability for any particular purpose. Visit the Bureau of Rural Sciences website (http://adl.brs.gov.au/) to access the most current version of the Product.\",\n \"environmentalvaluemax\": \"11\",\n \"classification1\": \"Vegetation\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Vegetation cover, based on integrated vegetation (class)\",\n \"licence_level\": \"2\",\n \"source\": \"BRS\",\n \"citation_date\": \"2008\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.alcw.org.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"author\",\n \"classification2\": \"\",\n \"pid\": \"\",\n \"displayname\": \"Atlas of Life in the Coastal Wilderness\",\n \"id\": 990,\n \"grid\": false,\n \"path_orig\": \"layer/alwc4\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 147.85948,\n \"maxlatitude\": -36.21921,\n \"licence_link\": \"http://creativecommons.org/licenses/by/3.0/au/\",\n \"mddatest\": \"2012-05-10\",\n \"maxlongitude\": 150.56481,\n \"dt_added\": 1337004000000,\n \"minlatitude\": -38.0847,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:alwc4&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"alwc4\",\n \"metadatapath\": \"http://www.alcw.org.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"The ALCW project aims to catalogue and study and record the effects of climate change and invasive species as many of the living creatures of this region as possible over the next ten years in order to create a lasting scientific and social legacy for the people of Australia.\",\n \"keywords\": \"climate, change, invasive, catalogue\",\n \"uid\": \"990\",\n \"licence_notes\": \"CC BY\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Terrestrial,Marine\",\n \"description\": \"The ALCW Bioregion spans the landscape from the Great Dividing Range in the west, to the coast of New South Wales south from Bateman’s Marine Park and down to the northern coastal region of Victoria at Lakes Entrance.\",\n \"licence_level\": \"3\",\n \"source\": \"Atlas of Life in the Coastal Wilderness\",\n \"citation_date\": \"2012-05-10\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://data.gov.au/dataset/4-integrated-marine-and-coastal-regionalisation-of-australia-imcra-v4-0-meso-scale-bioregions/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Region\",\n \"pid\": \"966\",\n \"displayname\": \"IMCRA Meso-scale Bioregions\",\n \"id\": 966,\n \"grid\": false,\n \"path_orig\": \"layer/imcra_meso\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 112.22616,\n \"maxlatitude\": -9.13188,\n \"licence_link\": \"http://data.gov.au/dataset/4-integrated-marine-and-coastal-regionalisation-of-australia-imcra-v4-0-meso-scale-bioregions/\",\n \"mddatest\": \"2012-03-28\",\n \"maxlongitude\": 153.90044,\n \"dt_added\": 1331816400000,\n \"minlatitude\": -44.13487,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:imcra_meso&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"imcra_meso\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId=%7BA0D9F8EE-4261-438A-8ADE-EFF664EFF55C%7D&loggedIn=false\",\n \"type\": \"Contextual\",\n \"notes\": \"An inshore regionalisation of Australian waters derived from biological and physical data, including the distribution of demersal fishes, marine plants and invertebrates, sea floor geomorphology and sediments, and oceanographic data.\\r\\n\\r\\nThe meso-scale regionalisation was compiled from information supplied to the Australian Government Department of the Environment and Heritage by the relevant State, Northern Territory and Commonwealth marine research and management agencies.\\r\\n\\r\\nThe seaward extent for the meso-scale IMCRA coverage is defined by the 200m isobath except where this boundary extends beyond the Australian Exclusive Economic Zone (AEEZ).\",\n \"keywords\": \"Bioregion, regionalisation\",\n \"uid\": \"966\",\n \"licence_notes\": \"Creative Commons - Attribution 3.0 Australia (CC BY 3.0)\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Biodiversity\",\n \"environmentalvalueunits\": \"\",\n \"enabled\": true,\n \"domain\": \"Marine\",\n \"description\": \"IMCRA Meso-scale Bioregions\",\n \"licence_level\": \"3\",\n \"source\": \"Department of Sustainability, Environment, Water, Population and Communities\",\n \"citation_date\": \"2010-11-15\"\n },\n {\n \"path_1km\": \"\",\n \"source_link\": \"http://www.dpi.vic.gov.au/\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"\",\n \"classification2\": \"Potato Cyst Nematode Zones\",\n \"pid\": \"\",\n \"displayname\": \"Potato Cyst Nematode Zones - Victoria\",\n \"id\": 939,\n \"grid\": false,\n \"path_orig\": \"layer/pcn_vic\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 145.3879,\n \"maxlatitude\": -37.77394,\n \"licence_link\": \"http://creativecommons.org/licenses/by-nd/3.0/au/\",\n \"mddatest\": \"21/09/2011\",\n \"maxlongitude\": 146.37665,\n \"dt_added\": 1330002000000,\n \"minlatitude\": -38.51719,\n \"scale\": \"\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:pcn_vic&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"pcn_vic\",\n \"metadatapath\": \"http://www.dpi.vic.gov.au/\",\n \"type\": \"Contextual\",\n \"notes\": \"Contact:\\r\\nCopyright.Services@dpi.vic.gov.au\\r\\n\",\n \"keywords\": \"sds\",\n \"uid\": \"939\",\n \"licence_notes\": \"This material is © State of Victoria Department of Primary Industries. Reproduced with permission.\",\n \"environmentalvaluemax\": \"\",\n \"classification1\": \"Sensitive Data Layers\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Potato Cyst Nematode Zones - Victoria\",\n \"licence_level\": \"1\",\n \"source\": \"http://www.dpi.vic.gov.au/\",\n \"citation_date\": \"1/05/2010\"\n },\n {\n \"source_link\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={0377A251-4E6C-48DF-95FC-720048F879B6}\",\n \"datalang\": \"enu\",\n \"shape\": true,\n \"respparty_role\": \"custodian\",\n \"classification2\": \"Biodiversity\",\n \"displayname\": \"Directory of Important Wetlands\",\n \"id\": 901,\n \"grid\": false,\n \"path_orig\": \"layer/diwa_type_criteria\",\n \"minlongitude\": 73.49982,\n \"maxlatitude\": -10.47761,\n \"licence_link\": \"\",\n \"mddatest\": \"2010-10-26\",\n \"maxlongitude\": 159.10017,\n \"dt_added\": 1327755600000,\n \"minlatitude\": -53.08351,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:diwa_type_criteria&format=image/png&styles=\",\n \"path\": \"/data/ala/data/shapefiles/diwa_type_criteria\",\n \"name\": \"diwa_type_criteria\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={0377A251-4E6C-48DF-95FC-720048F879B6}\",\n \"type\": \"Contextual\",\n \"notes\": \"This is a polygon coverage representing the wetlands cited in the \\\"A Directory of Important Wetlands in Australia\\\" Third Edition (EA, 2001), plus various additions for wetlands listed after 2001. This dataset includes attribute information showing the wetlands type and criteria for listing for each wetland.\\n\\nThis coverage is a compilation of various data sources and has been collected using a variety of methods. This dataset should therefore be used as an indicative guide only to wetland boundaries and locations. The data has been collated by the Australian Government Department of Sustainability, Environment, Water, Population and Communities from various datasets including those supplied by the relevant State agencies.\",\n \"keywords\": \"reserve, water, bird\",\n \"uid\": \"901\",\n \"licence_notes\": \"Permission required to re-distribute derivative works. Please follow link to further instructions outlined in metadata record.\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"region\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"Directory of Important Wetlands Spatial Database including Wetlands Type and Criteria\",\n \"licence_level\": \"1\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2008-10-15\"\n },\n {\n \"source_link\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={D06B412B-A1F5-42F8-BE39-1E4C17312FBD}\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"0\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"distributor\",\n \"classification2\": \"Biodiversity\",\n \"displayname\": \"RAMSAR wetland regions\",\n \"id\": 935,\n \"grid\": false,\n \"path_orig\": \"layer/ramsar\",\n \"mdhrlv\": \"\",\n \"minlongitude\": 109.503,\n \"maxlatitude\": -8.19402,\n \"licence_link\": \"\",\n \"mddatest\": \"2011-01-18\",\n \"maxlongitude\": 157.28139,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -44.37221,\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:ramsar&format=image/png&styles=\",\n \"path\": \"/data/ala/data/layers/ready/shape\",\n \"name\": \"ramsar\",\n \"metadatapath\": \"http://www.environment.gov.au/metadataexplorer/full_metadata.jsp?docId={D06B412B-A1F5-42F8-BE39-1E4C17312FBD}\",\n \"type\": \"Contextual\",\n \"notes\": \"Australia's Ramsar Wetlands - Downloadable (Subset Only).\\n\\nThe Ramsar Wetlands data contained within this dataset is from QLD, NSW, WA and Commonwealth agencies only. Ramsar Wetland boundaries for all other jurisdictions are to be sourced by contacting the relevant State/Territory agency.\",\n \"keywords\": \"reserve, water, bird\",\n \"uid\": \"935\",\n \"licence_notes\": \"Copyright Commonwealth of Australia, Department of Sustainability, Environment, Water, Population and Communities with data compiled through cooperative efforts of the States/Territories Government wetland agencies. October 2010. All rights reserved\\n\\nParticipating Agencies:\\n - ACT Department of Territory and Municipal Services\\n - NSW Department of Environment, Climate Change and Water\\n - NT Department of Natural Resources, Environment, The Arts and Sport\\n - Qld Department of Environment and Resource Management\\n - SA Department for Environment and Natural Resources\\n - Tas Department of Primary Industries, Parks, Water and Environment\\n - Vic Department of Sustainability and Environment\\n - WA Department of Environment and Conservation\",\n \"environmentalvaluemax\": \"99\",\n \"classification1\": \"Area Management\",\n \"environmentalvalueunits\": \"class\",\n \"enabled\": true,\n \"domain\": \"Terrestrial\",\n \"description\": \"RAMSAR wetland regions\",\n \"licence_level\": \"2\",\n \"source\": \"ERIN\",\n \"citation_date\": \"2010-11-26\"\n },\n {\n \"source_link\": \"http://www.ga.gov.au/meta/ANZCW0703013575.html\",\n \"datalang\": \"eng\",\n \"environmentalvaluemin\": \"\",\n \"shape\": true,\n \"lookuptablepath\": \"\",\n \"respparty_role\": \"custodian\",\n \"classification2\": \"\",\n \"displayname\": \"Surface Geology of Australia\",\n \"id\": 923,\n \"grid\": false,\n \"path_orig\": \"layer/lith_geologicalunitpolygons1m\",\n \"minlongitude\": 72.57724,\n \"maxlatitude\": -9.17848,\n \"licence_link\": \"http://creativecommons.org/licenses/by/2.5/au/deed.en\",\n \"mddatest\": \"2010-06-23\",\n \"maxlongitude\": 167.99804,\n \"dt_added\": 1317906000000,\n \"minlatitude\": -54.77774,\n \"scale\": \"1:1,000,000 Scale\",\n \"displaypath\": \"https://spatial.ala.org.au/geoserver/gwc/service/wms?service=WMS&version=1.1.0&request=GetMap&layers=ALA:lith_geologicalunitpolygons1m&format=image/png&styles=\",\n \"path\": \"/data/ala/data/shapefiles/surfgeol2010/surfacegeology_1M_shapefiles\",\n \"name\": \"lith_geologicalunitpolygons1m\",\n \"metadatapath\": \"http://www.ga.gov.au/meta/ANZCW0703013575.xml\",\n \"type\": \"Contextual\",\n \"notes\": \"The Surface Geology of Australia (2010 edition) is a seamless national coverage of outcrop and surficial geology, compiled for us\\ne at or around 1:1 000 000 scale. The data maps outcropping bedrock geology and unconsolidated or poorly consolidated regolith m\\naterial covering bedrock. Geological units are represented as polygon and line geometries, and are attributed with information r\\negarding stratigraphic nomenclature and parentage, age, lithology, and primary data source. The dataset also contains geological\\n contacts, structural features such as faults and shears, and miscellaneous supporting lines like the boundaries of water and ice\\n bodies.