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  "author": "[{\"affiliation\": \"ETH Z\\u00fcrich\", 
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  "author": "[{\"affiliation\": \"ETH Z\\u00fcrich\", 
            
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\"affiliation_02\": \"WSL\", \"affiliation_03\": \"\", \"email\": 
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\"affiliation_02\": \"WSL\", \"affiliation_03\": \"\", \"email\": 
            
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\"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": 
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\"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": 
            
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\"\", \"name\": \"Lyu\"}]",
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\"\", \"name\": \"Lyu\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "e922382c-c1ea-4a8c-bdff-f33cafb1a9db",
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  "creator_user_id": "e922382c-c1ea-4a8c-bdff-f33cafb1a9db",
            
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  "date": "[{\"date\": \"2020-01-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2020-01-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"\"}]",
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\"end_date\": \"\"}]",
            
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  "doi": "10.16904/envidat.309",
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  "doi": "10.16904/envidat.309",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
            
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\"institution_url\": \"https://chelsa-climate.org/\"}]",
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\"institution_url\": \"https://chelsa-climate.org/\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "7758e97b-7bf0-42d5-8587-2d88f82180e8",
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  "id": "7758e97b-7bf0-42d5-8587-2d88f82180e8",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "maintainer": "{\"affiliation\": \"\", \"email\": 
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  "maintainer": "{\"affiliation\": \"\", \"email\": 
            
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\"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": 
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\"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": 
            
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\"\", \"name\": \"Lyu\"}",
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\"\", \"name\": \"Lyu\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2022-02-07T17:19:45.712774",
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  "metadata_created": "2022-02-07T17:19:45.712774",
            
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  "metadata_modified": "2022-04-09T19:19:25.039483",
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  "metadata_modified": "2022-04-10T08:17:21.702472",
            
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  "name": "sdm-env-layers-gdplants",
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  "name": "sdm-env-layers-gdplants",
            
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  "notes": "The dataset contains seven environmental layers (average 
28
  "notes": "The dataset contains seven environmental layers (average 
            
29
annual temperature, aridity [annual precipitation divided by annual 
29
annual temperature, aridity [annual precipitation divided by annual 
            
30
potential evapotranspiration], frost change frequency, precipitation 
30
potential evapotranspiration], frost change frequency, precipitation 
            
31
in the driest quarter, mean diurnal temperature range, and 
31
in the driest quarter, mean diurnal temperature range, and 
            
32
precipitation seasonality) modified from CHELSA 
32
precipitation seasonality) modified from CHELSA 
            
33
(https://chelsa-climate.org/) and three soil layers (soil organic 
33
(https://chelsa-climate.org/) and three soil layers (soil organic 
            
34
matter content, pH water, and clay content) modified from SoilGrids 
34
matter content, pH water, and clay content) modified from SoilGrids 
            
35
(https://soilgrids.org/).",
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(https://soilgrids.org/).",
            
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  "num_resources": 9,
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  "num_resources": 9,
            
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  "num_tags": 6,
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  "num_tags": 6,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-12-01T11:42:44.590217",
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    "created": "2018-12-01T11:42:44.590217",
            
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    "description": "Our laboratory aims at understanding and 
41
    "description": "Our laboratory aims at understanding and 
            
42
forecasting the response of biodiversity to landscape changes. We 
42
forecasting the response of biodiversity to landscape changes. We 
            
43
investigate the historical responses of species to past changes such 
43
investigate the historical responses of species to past changes such 
            
44
as plate tectonics or the glaciations of the Quaternary and 
44
as plate tectonics or the glaciations of the Quaternary and 
            
45
contemporary responses to ongoing global changes. We develop spatial 
45
contemporary responses to ongoing global changes. We develop spatial 
            
46
mechanistic models of biodiversity that account for processes such as 
46
mechanistic models of biodiversity that account for processes such as 
            
47
dispersal and biotic interactions.",
47
dispersal and biotic interactions.",
            
48
    "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84",
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    "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84",
            
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    "image_url": 
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    "image_url": 
            
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ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg",
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ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "landscape-ecology",
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    "name": "landscape-ecology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Landscape Ecology",
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    "title": "Landscape Ecology",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84",
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  "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84",
            
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
t
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  "publication_state": "approved",
t
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  "publication_state": "published",
            
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  "related_datasets": "* https://chelsa-climate.org/downloads/\r\n* 
62
  "related_datasets": "* https://chelsa-climate.org/downloads/\r\n* 
            
63
https://soilgrids.org/\r\n* Karger, D.N., Conrad, O., B\u00f6hner, J., 
63
https://soilgrids.org/\r\n* Karger, D.N., Conrad, O., B\u00f6hner, J., 
            
64
Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., 
64
Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., 
            
65
Kessler, M. (2017): Climatologies at high resolution for the Earth 
65
Kessler, M. (2017): Climatologies at high resolution for the Earth 
            
66
land surface areas. Scientific Data. 4 170122. 
66
land surface areas. Scientific Data. 4 170122. 
            
67
https://doi.org/10.1038/sdata.2017.122\r\n* Hengl T, de Jesus JM, 
67
https://doi.org/10.1038/sdata.2017.122\r\n* Hengl T, de Jesus JM, 
            
68
MacMillan RA, Batjes NH, Heuvelink GBM, Ribeiro E, Samuel-Rosa A, 
68
MacMillan RA, Batjes NH, Heuvelink GBM, Ribeiro E, Samuel-Rosa A, 
            
69
Kempen B, Leenaars JGB, Walsh MG, et al. 2014. SoilGrids1km \u2014 
69
Kempen B, Leenaars JGB, Walsh MG, et al. 2014. SoilGrids1km \u2014 
            
70
Global soil information based on automated mapping (B Bond-Lamberty, 
70
Global soil information based on automated mapping (B Bond-Lamberty, 
            
71
Ed.). PLoS ONE 9: e105992.\r\n* Hengl T, Mendes de Jesus J, Heuvelink 
71
Ed.). PLoS ONE 9: e105992.\r\n* Hengl T, Mendes de Jesus J, Heuvelink 
            
72
GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, Shangguan W, 
72
GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, Shangguan W, 
            
73
Wright MN, Geng X, Bauer-Marschallinger B, et al. 2017. SoilGrids250m: 
73
Wright MN, Geng X, Bauer-Marschallinger B, et al. 2017. SoilGrids250m: 
            
74
Global gridded soil information based on machine learning (B 
74
Global gridded soil information based on machine learning (B 
            
75
Bond-Lamberty, Ed.). PLoS ONE 12: e0169748.",
75
Bond-Lamberty, Ed.). PLoS ONE 12: e0169748.",
            
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CHELSA",
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      "description": "Mean annual temperature modified from CHELSA",
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      "description": "Mean annual temperature modified from CHELSA",
            
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      "doi": "",
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365
      "display_name": "PRECIPITATION",
365
      "display_name": "PRECIPITATION",
            
366
      "id": "dba7b369-a028-4ce3-805f-ecbefe796885",
366
      "id": "dba7b369-a028-4ce3-805f-ecbefe796885",
            
367
      "name": "PRECIPITATION",
367
      "name": "PRECIPITATION",
            
368
      "state": "active",
368
      "state": "active",
            
369
      "vocabulary_id": null
369
      "vocabulary_id": null
            
370
    },
370
    },
            
371
    {
371
    {
            
372
      "display_name": "SDMS",
372
      "display_name": "SDMS",
            
373
      "id": "1feba39d-6f50-4300-b5ba-6adc00490ee0",
373
      "id": "1feba39d-6f50-4300-b5ba-6adc00490ee0",
            
374
      "name": "SDMS",
374
      "name": "SDMS",
            
375
      "state": "active",
375
      "state": "active",
            
376
      "vocabulary_id": null
376
      "vocabulary_id": null
            
377
    },
377
    },
            
378
    {
378
    {
            
379
      "display_name": "SOIL",
379
      "display_name": "SOIL",
            
380
      "id": "024cba10-0afd-4231-b6fc-7657536a5c05",
380
      "id": "024cba10-0afd-4231-b6fc-7657536a5c05",
            
381
      "name": "SOIL",
381
      "name": "SOIL",
            
382
      "state": "active",
382
      "state": "active",
            
383
      "vocabulary_id": null
383
      "vocabulary_id": null
            
384
    }
384
    }
            
385
  ],
385
  ],
            
386
  "title": "Environmental layers for SDM simulations (GDPlants)",
386
  "title": "Environmental layers for SDM simulations (GDPlants)",
            
387
  "type": "dataset",
387
  "type": "dataset",
            
388
  "url": null,
388
  "url": null,
            
389
  "version": "1.0"
389
  "version": "1.0"
            
390
}
390
}