Changes
On April 11, 2022 at 2:13:24 PM UTC, Lisha Lyu:
-
Set maintainer of Environmental layers for SDM simulations (GDPlants) to {"affiliation": "", "email": "lisha.lyu@usys.ethz.ch", "given_name": "Lisha", "identifier": "0000-0001-7855-8109", "name": "Lyu"} (previously {"affiliation": "", "email": "lisha.lyu@usys.ethz.ch", "given_name": "", "identifier": "", "name": "Lyu"})
-
Set author of Environmental layers for SDM simulations (GDPlants) to [{"affiliation": "ETH Z\u00fcrich", "affiliation_02": "WSL", "affiliation_03": "", "email": "lisha.lyu@usys.ethz.ch", "given_name": "Lisha", "identifier": "0000-0001-7855-8109", "name": "Lyu"}] (previously [{"affiliation": "ETH Z\u00fcrich", "affiliation_02": "WSL", "affiliation_03": "", "email": "lisha.lyu@usys.ethz.ch", "given_name": "", "identifier": "", "name": "Lyu"}])
-
Changed value of field
spatial
to{"type":"Polygon","coordinates":[[[-180.0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]]}
in Environmental layers for SDM simulations (GDPlants)
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"ETH Z\\u00fcrich\", | 2 | "author": "[{\"affiliation\": \"ETH Z\\u00fcrich\", | ||
3 | \"affiliation_02\": \"WSL\", \"affiliation_03\": \"\", \"email\": | 3 | \"affiliation_02\": \"WSL\", \"affiliation_03\": \"\", \"email\": | ||
n | 4 | \"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": | n | 4 | \"lisha.lyu@usys.ethz.ch\", \"given_name\": \"Lisha\", \"identifier\": |
5 | \"\", \"name\": \"Lyu\"}]", | 5 | \"0000-0001-7855-8109\", \"name\": \"Lyu\"}]", | ||
6 | "author_email": null, | 6 | "author_email": null, | ||
7 | "creator_user_id": "e922382c-c1ea-4a8c-bdff-f33cafb1a9db", | 7 | "creator_user_id": "e922382c-c1ea-4a8c-bdff-f33cafb1a9db", | ||
8 | "date": "[{\"date\": \"2020-01-01\", \"date_type\": \"collected\", | 8 | "date": "[{\"date\": \"2020-01-01\", \"date_type\": \"collected\", | ||
9 | \"end_date\": \"\"}]", | 9 | \"end_date\": \"\"}]", | ||
10 | "doi": "10.16904/envidat.309", | 10 | "doi": "10.16904/envidat.309", | ||
11 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | 11 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | ||
12 | \"institution_url\": \"https://chelsa-climate.org/\"}]", | 12 | \"institution_url\": \"https://chelsa-climate.org/\"}]", | ||
13 | "groups": [], | 13 | "groups": [], | ||
14 | "id": "7758e97b-7bf0-42d5-8587-2d88f82180e8", | 14 | "id": "7758e97b-7bf0-42d5-8587-2d88f82180e8", | ||
15 | "isopen": true, | 15 | "isopen": true, | ||
16 | "language": "en", | 16 | "language": "en", | ||
17 | "license_id": "cc-by-sa", | 17 | "license_id": "cc-by-sa", | ||
18 | "license_title": "Creative Commons Attribution Share-Alike | 18 | "license_title": "Creative Commons Attribution Share-Alike | ||
19 | (CC-BY-SA)", | 19 | (CC-BY-SA)", | ||
20 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 20 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
21 | "maintainer": "{\"affiliation\": \"\", \"email\": | 21 | "maintainer": "{\"affiliation\": \"\", \"email\": | ||
n | 22 | \"lisha.lyu@usys.ethz.ch\", \"given_name\": \"\", \"identifier\": | n | 22 | \"lisha.lyu@usys.ethz.ch\", \"given_name\": \"Lisha\", \"identifier\": |
23 | \"\", \"name\": \"Lyu\"}", | 23 | \"0000-0001-7855-8109\", \"name\": \"Lyu\"}", | ||
24 | "maintainer_email": null, | 24 | "maintainer_email": null, | ||
25 | "metadata_created": "2022-02-07T17:19:45.712774", | 25 | "metadata_created": "2022-02-07T17:19:45.712774", | ||
n | 26 | "metadata_modified": "2022-04-10T08:17:13.138089", | n | 26 | "metadata_modified": "2022-04-11T14:13:24.035682", |
27 | "name": "sdm-env-layers-gdplants", | 27 | "name": "sdm-env-layers-gdplants", | ||
28 | "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/).", | 35 | (https://soilgrids.org/).", | ||
36 | "num_resources": 9, | 36 | "num_resources": 9, | ||
37 | "num_tags": 6, | 37 | "num_tags": 6, | ||
38 | "organization": { | 38 | "organization": { | ||
39 | "approval_status": "approved", | 39 | "approval_status": "approved", | ||
40 | "created": "2018-12-01T11:42:44.590217", | 40 | "created": "2018-12-01T11:42:44.590217", | ||
41 | "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", | 48 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
49 | "image_url": | 49 | "image_url": | ||
50 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | 50 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | ||
51 | "is_organization": true, | 51 | "is_organization": true, | ||
52 | "name": "landscape-ecology", | 52 | "name": "landscape-ecology", | ||
53 | "state": "active", | 53 | "state": "active", | ||
54 | "title": "Landscape Ecology", | 54 | "title": "Landscape Ecology", | ||
55 | "type": "organization" | 55 | "type": "organization" | ||
56 | }, | 56 | }, | ||
57 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 57 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
58 | "private": false, | 58 | "private": false, | ||
59 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 59 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
60 | \"EnviDat\"}", | 60 | \"EnviDat\"}", | ||
61 | "publication_state": "published", | 61 | "publication_state": "published", | ||
62 | "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.", | ||
76 | "related_publications": "", | 76 | "related_publications": "", | ||
77 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
78 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
79 | "resource_type": "dataset", | 79 | "resource_type": "dataset", | ||
80 | "resource_type_general": "dataset", | 80 | "resource_type_general": "dataset", | ||
81 | "resources": [ | 81 | "resources": [ | ||
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87 | "doi": "", | 87 | "doi": "", | ||
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