Changes
On June 10, 2021 at 12:26:34 PM UTC, Administrator:
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Uploaded a new file to resource CHELSA V2.1 (current) in Climatologies at high resolution for the earth’s land surface areas
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"validation\", \"curation\", \"publication\", \"supervision\"], | 4 | \"validation\", \"curation\", \"publication\", \"supervision\"], | ||
5 | \"email\": \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus \", | 5 | \"email\": \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus \", | ||
6 | \"identifier\": \"\", \"name\": \"Karger\"}, {\"affiliation\": | 6 | \"identifier\": \"\", \"name\": \"Karger\"}, {\"affiliation\": | ||
7 | \"University of Hamburg\", \"affiliation_02\": \"\", | 7 | \"University of Hamburg\", \"affiliation_02\": \"\", | ||
8 | \"affiliation_03\": \"\", \"email\": \"olaf.conrad@uni-hamburg.de\", | 8 | \"affiliation_03\": \"\", \"email\": \"olaf.conrad@uni-hamburg.de\", | ||
9 | \"given_name\": \"Olaf\", \"identifier\": \"\", \"name\": \"Conrad\"}, | 9 | \"given_name\": \"Olaf\", \"identifier\": \"\", \"name\": \"Conrad\"}, | ||
10 | {\"affiliation\": \"University of Hamburg\", \"affiliation_02\": \"\", | 10 | {\"affiliation\": \"University of Hamburg\", \"affiliation_02\": \"\", | ||
11 | \"affiliation_03\": \"\", \"email\": | 11 | \"affiliation_03\": \"\", \"email\": | ||
12 | \"juergen.boehner@uni-hamburg.de\", \"given_name\": \"J\\u00fcrgen\", | 12 | \"juergen.boehner@uni-hamburg.de\", \"given_name\": \"J\\u00fcrgen\", | ||
13 | \"identifier\": \"\", \"name\": \"B\\u00f6hner\"}, {\"affiliation\": | 13 | \"identifier\": \"\", \"name\": \"B\\u00f6hner\"}, {\"affiliation\": | ||
14 | \"University of Hamburg\", \"affiliation_02\": \"\", | 14 | \"University of Hamburg\", \"affiliation_02\": \"\", | ||
15 | \"affiliation_03\": \"\", \"email\": \"tobias.kawohl@uni-hamburg.de\", | 15 | \"affiliation_03\": \"\", \"email\": \"tobias.kawohl@uni-hamburg.de\", | ||
16 | \"given_name\": \"Tobias\", \"identifier\": \"\", \"name\": | 16 | \"given_name\": \"Tobias\", \"identifier\": \"\", \"name\": | ||
17 | \"Kawohl\"}, {\"affiliation\": \"University of Goettingen\", | 17 | \"Kawohl\"}, {\"affiliation\": \"University of Goettingen\", | ||
18 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | 18 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | ||
19 | \"hkreft@uni-goettingen.de\", \"given_name\": \"Holger\", | 19 | \"hkreft@uni-goettingen.de\", \"given_name\": \"Holger\", | ||
20 | \"identifier\": \"\", \"name\": \"Kreft\"}, {\"affiliation\": | 20 | \"identifier\": \"\", \"name\": \"Kreft\"}, {\"affiliation\": | ||
21 | \"Rodrigo Wilber Soria-Auza\", \"affiliation_02\": \"\", | 21 | \"Rodrigo Wilber Soria-Auza\", \"affiliation_02\": \"\", | ||
22 | \"affiliation_03\": \"\", \"email\": \"wilbersa@armonia-bo.org\", | 22 | \"affiliation_03\": \"\", \"email\": \"wilbersa@armonia-bo.org\", | ||
23 | \"given_name\": \"Rodrigo Wilber \", \"identifier\": \"\", \"name\": | 23 | \"given_name\": \"Rodrigo Wilber \", \"identifier\": \"\", \"name\": | ||
24 | \"Soria-Auza\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 24 | \"Soria-Auza\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
25 | \"affiliation_03\": \"\", \"email\": \"niklaus.zimmermann@wsl.ch\", | 25 | \"affiliation_03\": \"\", \"email\": \"niklaus.zimmermann@wsl.ch\", | ||
26 | \"given_name\": \"Niklaus E.\", \"identifier\": \"\", \"name\": | 26 | \"given_name\": \"Niklaus E.\", \"identifier\": \"\", \"name\": | ||
27 | \"Zimmermann\"}, {\"affiliation\": \"University of Zurich\", | 27 | \"Zimmermann\"}, {\"affiliation\": \"University of Zurich\", | ||
28 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | 28 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | ||
29 | \"peter.linder@systbot.uzh.ch\", \"given_name\": \"H. Peter \", | 29 | \"peter.linder@systbot.uzh.ch\", \"given_name\": \"H. Peter \", | ||
30 | \"identifier\": \"\", \"name\": \"Linder\"}, {\"affiliation\": | 30 | \"identifier\": \"\", \"name\": \"Linder\"}, {\"affiliation\": | ||
31 | \"University of Zurich\", \"affiliation_02\": \"\", | 31 | \"University of Zurich\", \"affiliation_02\": \"\", | ||
32 | \"affiliation_03\": \"\", \"email\": | 32 | \"affiliation_03\": \"\", \"email\": | ||
33 | \"michael.kessler@systbot.uzh.ch\", \"given_name\": \"Michael\", | 33 | \"michael.kessler@systbot.uzh.ch\", \"given_name\": \"Michael\", | ||
34 | \"identifier\": \"\", \"name\": \"Kessler\"}]", | 34 | \"identifier\": \"\", \"name\": \"Kessler\"}]", | ||
35 | "author_email": null, | 35 | "author_email": null, | ||
36 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | 36 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | ||
37 | "date": "[{\"date\": \"2017-07-21\", \"date_type\": \"created\", | 37 | "date": "[{\"date\": \"2017-07-21\", \"date_type\": \"created\", | ||
38 | \"end_date\": \"\"}, {\"date\": \"2021-06-01\", \"date_type\": | 38 | \"end_date\": \"\"}, {\"date\": \"2021-06-01\", \"date_type\": | ||
39 | \"created\", \"end_date\": \"\"}]", | 39 | \"created\", \"end_date\": \"\"}]", | ||
40 | "doi": "10.16904/envidat.228", | 40 | "doi": "10.16904/envidat.228", | ||
41 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | 41 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | ||
42 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | 42 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | ||
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46 | "isopen": true, | 46 | "isopen": true, | ||
47 | "language": "en", | 47 | "language": "en", | ||
48 | "license_id": "CC0-1.0", | 48 | "license_id": "CC0-1.0", | ||
49 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 49 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
50 | 1.0)", | 50 | 1.0)", | ||
51 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 51 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
52 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 52 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
53 | \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus \", | 53 | \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus \", | ||
54 | \"identifier\": \"\", \"name\": \"Karger\"}", | 54 | \"identifier\": \"\", \"name\": \"Karger\"}", | ||
55 | "maintainer_email": null, | 55 | "maintainer_email": null, | ||
56 | "metadata_created": "2018-07-03T12:25:50.259890", | 56 | "metadata_created": "2018-07-03T12:25:50.259890", | ||
n | 57 | "metadata_modified": "2021-06-10T12:22:06.993575", | n | 57 | "metadata_modified": "2021-06-10T12:26:34.595260", |
58 | "name": "chelsa-climatologies", | 58 | "name": "chelsa-climatologies", | ||
59 | "notes": "High-resolution information on climatic conditions is | 59 | "notes": "High-resolution information on climatic conditions is | ||
60 | essential to many applications in environmental and ecological | 60 | essential to many applications in environmental and ecological | ||
61 | sciences. Here we present the CHELSA (Climatologies at high resolution | 61 | sciences. Here we present the CHELSA (Climatologies at high resolution | ||
62 | for the earth\u2019s land surface areas) data of downscaled model | 62 | for the earth\u2019s land surface areas) data of downscaled model | ||
63 | output temperature and precipitation estimates of the ERA-Interim | 63 | output temperature and precipitation estimates of the ERA-Interim | ||
64 | climatic reanalysis to a high resolution of 30\u2009arc\u2009sec. The | 64 | climatic reanalysis to a high resolution of 30\u2009arc\u2009sec. The | ||
65 | temperature algorithm is based on statistical downscaling of | 65 | temperature algorithm is based on statistical downscaling of | ||
66 | atmospheric temperatures. The precipitation algorithm incorporates | 66 | atmospheric temperatures. The precipitation algorithm incorporates | ||
67 | orographic predictors including wind fields, valley exposition, and | 67 | orographic predictors including wind fields, valley exposition, and | ||
68 | boundary layer height, with a subsequent bias correction. The | 68 | boundary layer height, with a subsequent bias correction. The | ||
69 | resulting data consist of a monthly temperature and precipitation | 69 | resulting data consist of a monthly temperature and precipitation | ||
70 | climatology for the years 1979\u20132013. We compare the data derived | 70 | climatology for the years 1979\u20132013. We compare the data derived | ||
71 | from the CHELSA algorithm with other standard gridded products and | 71 | from the CHELSA algorithm with other standard gridded products and | ||
72 | station data from the Global Historical Climate Network. We compare | 72 | station data from the Global Historical Climate Network. We compare | ||
73 | the performance of the new climatologies in species distribution | 73 | the performance of the new climatologies in species distribution | ||
74 | modelling and show that we can increase the accuracy of species range | 74 | modelling and show that we can increase the accuracy of species range | ||
75 | predictions. We further show that CHELSA climatological data has a | 75 | predictions. We further show that CHELSA climatological data has a | ||
76 | similar accuracy as other products for temperature, but that its | 76 | similar accuracy as other products for temperature, but that its | ||
77 | predictions of precipitation patterns are better.\r\n\r\nData Variable | 77 | predictions of precipitation patterns are better.\r\n\r\nData Variable | ||
78 | Codes:\r\n\r\n- Bio1 = Annual Mean Temperature\r\n- Bio2 = Mean | 78 | Codes:\r\n\r\n- Bio1 = Annual Mean Temperature\r\n- Bio2 = Mean | ||
79 | Diurnal Range\r\n- Bio3 = Isothermality\r\n- Bio4 = Temperature | 79 | Diurnal Range\r\n- Bio3 = Isothermality\r\n- Bio4 = Temperature | ||
80 | Seasonality\r\n- Bio5 = Max Temperature of Warmest Month\r\n- Bio6 = | 80 | Seasonality\r\n- Bio5 = Max Temperature of Warmest Month\r\n- Bio6 = | ||
81 | Min Temperature of Coldest Month\r\n- Bio7 = Temperature Annual | 81 | Min Temperature of Coldest Month\r\n- Bio7 = Temperature Annual | ||
82 | Range\r\n- Bio8 = Mean Temperature of Wettest Quarter\r\n- Bio9 = Mean | 82 | Range\r\n- Bio8 = Mean Temperature of Wettest Quarter\r\n- Bio9 = Mean | ||
83 | Temperature of Driest Quarter\r\n- Bio10 = Mean Temperature of Warmest | 83 | Temperature of Driest Quarter\r\n- Bio10 = Mean Temperature of Warmest | ||
84 | Quarter\r\n- Bio11 = Mean Temperature of Coldest Quarter\r\n- Bio12 = | 84 | Quarter\r\n- Bio11 = Mean Temperature of Coldest Quarter\r\n- Bio12 = | ||
85 | Annual Precipitation\r\n- Bio13 = Precipitation of Wettest Month\r\n- | 85 | Annual Precipitation\r\n- Bio13 = Precipitation of Wettest Month\r\n- | ||
86 | Bio14 = Precipitation of Driest Month\r\n- Bio15 = Precipitation | 86 | Bio14 = Precipitation of Driest Month\r\n- Bio15 = Precipitation | ||
87 | Seasonality\r\n- Bio16 = Precipitation of Wettest Quarter\r\n- Bio17 = | 87 | Seasonality\r\n- Bio16 = Precipitation of Wettest Quarter\r\n- Bio17 = | ||
88 | Precipitation of Driest Quarter\r\n- Bio18 = Precipitation of Warmest | 88 | Precipitation of Driest Quarter\r\n- Bio18 = Precipitation of Warmest | ||
89 | Quarter\r\n- Bio19 = Precipitation of Coldest | 89 | Quarter\r\n- Bio19 = Precipitation of Coldest | ||
90 | Quarter\r\n\r\n \r\n\r\nCHELSA data published in EnviDat includes | 90 | Quarter\r\n\r\n \r\n\r\nCHELSA data published in EnviDat includes | ||
91 | the deprecated version 1.2 (originally published under | 91 | the deprecated version 1.2 (originally published under | ||
92 | 10.5061/dryad.kd1d4). Please use the current 2.1 version. | 92 | 10.5061/dryad.kd1d4). Please use the current 2.1 version. | ||
93 | \r\n\r\n__Paper Citation:__\r\n > _Karger DN. et al. Climatologies at | 93 | \r\n\r\n__Paper Citation:__\r\n > _Karger DN. et al. Climatologies at | ||
94 | high resolution for the earth\u2019s land surface areas, Scientific | 94 | high resolution for the earth\u2019s land surface areas, Scientific | ||
95 | Data, 4, 170122 (2017) [doi: | 95 | Data, 4, 170122 (2017) [doi: | ||
96 | 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._", | 96 | 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._", | ||
97 | "num_resources": 2, | 97 | "num_resources": 2, | ||
98 | "num_tags": 8, | 98 | "num_tags": 8, | ||
99 | "organization": { | 99 | "organization": { | ||
100 | "approval_status": "approved", | 100 | "approval_status": "approved", | ||
101 | "created": "2018-05-31T14:24:18.890912", | 101 | "created": "2018-05-31T14:24:18.890912", | ||
102 | "description": "The dynamic macroecology group studies different | 102 | "description": "The dynamic macroecology group studies different | ||
103 | aspects of ecology on large spatial and temporal scales, from the | 103 | aspects of ecology on large spatial and temporal scales, from the | ||
104 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 104 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
105 | species and their traits change in space and time, particularly with | 105 | species and their traits change in space and time, particularly with | ||
106 | global change?\u201d", | 106 | global change?\u201d", | ||
107 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 107 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
108 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 108 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
109 | "is_organization": true, | 109 | "is_organization": true, | ||
110 | "name": "dynamic-macroecology", | 110 | "name": "dynamic-macroecology", | ||
111 | "state": "active", | 111 | "state": "active", | ||
112 | "title": "Dynamic Macroecology", | 112 | "title": "Dynamic Macroecology", | ||
113 | "type": "organization" | 113 | "type": "organization" | ||
114 | }, | 114 | }, | ||
115 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 115 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
116 | "private": false, | 116 | "private": false, | ||
117 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 117 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
118 | \"EnviDat\"}", | 118 | \"EnviDat\"}", | ||
119 | "publication_state": "published", | 119 | "publication_state": "published", | ||
120 | "related_datasets": " * | 120 | "related_datasets": " * | ||
121 | https://www.envidat.ch/#/metadata/chelsa_trace", | 121 | https://www.envidat.ch/#/metadata/chelsa_trace", | ||
122 | "related_publications": "", | 122 | "related_publications": "", | ||
123 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
124 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
125 | "resource_type": "dataset", | 125 | "resource_type": "dataset", | ||
126 | "resource_type_general": "dataset", | 126 | "resource_type_general": "dataset", | ||
127 | "resources": [ | 127 | "resources": [ | ||
128 | { | 128 | { | ||
129 | "cache_last_updated": null, | 129 | "cache_last_updated": null, | ||
130 | "cache_url": null, | 130 | "cache_url": null, | ||
131 | "created": "2021-06-08T14:23:10.701887", | 131 | "created": "2021-06-08T14:23:10.701887", | ||
132 | "description": "Version 2.1", | 132 | "description": "Version 2.1", | ||
133 | "doi": "", | 133 | "doi": "", | ||
134 | "format": "geotiff", | 134 | "format": "geotiff", | ||
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139 | "mimetype": null, | 139 | "mimetype": null, | ||
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141 | "name": "CHELSA V2.1 (current)", | 141 | "name": "CHELSA V2.1 (current)", | ||
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148 | \"shared_secret\": \"\"}", | 148 | \"shared_secret\": \"\"}", | ||
149 | "size": null, | 149 | "size": null, | ||
150 | "state": "active", | 150 | "state": "active", | ||
151 | "url": | 151 | "url": | ||
t | 152 | "https://envicloud.wsl.ch/#/?prefix=chelsa%2Fchelsa_V2%2GLOBAL", | t | 152 | "https://envicloud.wsl.ch/#/?prefix=chelsa/chelsa_V2/GLOBAL/", |
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158 | "created": "2018-07-03T12:28:32.847549", | 158 | "created": "2018-07-03T12:28:32.847549", | ||
159 | "description": "Climatologies are the mean monthly sum of | 159 | "description": "Climatologies are the mean monthly sum of | ||
160 | precipitation in the years 1979\u20132013 for each month. As slight | 160 | precipitation in the years 1979\u20132013 for each month. As slight | ||
161 | errors in the precipitation sums can accumulate over time, we applied | 161 | errors in the precipitation sums can accumulate over time, we applied | ||
162 | an additional bias correction step using the GPCC Climatology Version | 162 | an additional bias correction step using the GPCC Climatology Version | ||
163 | 2015. We used the cells at which stations are present, calculated the | 163 | 2015. We used the cells at which stations are present, calculated the | ||
164 | bias between the annual accumulations and the GPCC climatology, and | 164 | bias between the annual accumulations and the GPCC climatology, and | ||
165 | used a multilevel B-spline interpolation of the biases to a 0.25 grid | 165 | used a multilevel B-spline interpolation of the biases to a 0.25 grid | ||
166 | to create the bias surface. This bias surface was then multiplied with | 166 | to create the bias surface. This bias surface was then multiplied with | ||
167 | the mean annual precipitation sums to create the final | 167 | the mean annual precipitation sums to create the final | ||
168 | climatologies.", | 168 | climatologies.", | ||
169 | "doi": "doi:10.5061/dryad.kd1d4", | 169 | "doi": "doi:10.5061/dryad.kd1d4", | ||
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174 | "metadata_modified": "2021-06-10T12:10:39.968858", | 174 | "metadata_modified": "2021-06-10T12:10:39.968858", | ||
175 | "mimetype": null, | 175 | "mimetype": null, | ||
176 | "mimetype_inner": null, | 176 | "mimetype_inner": null, | ||
177 | "name": "CHELSA V1.2 (deprecated)", | 177 | "name": "CHELSA V1.2 (deprecated)", | ||
178 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | 178 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | ||
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186 | "state": "active", | 186 | "state": "active", | ||
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188 | "url_type": null | 188 | "url_type": null | ||
189 | } | 189 | } | ||
190 | ], | 190 | ], | ||
191 | "spatial": | 191 | "spatial": | ||
192 | .0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]]}", | 192 | .0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]]}", | ||
193 | "spatial_info": "global", | 193 | "spatial_info": "global", | ||
194 | "state": "active", | 194 | "state": "active", | ||
195 | "subtitle": "", | 195 | "subtitle": "", | ||
196 | "tags": [ | 196 | "tags": [ | ||
197 | { | 197 | { | ||
198 | "display_name": "BIOCLIM", | 198 | "display_name": "BIOCLIM", | ||
199 | "id": "4b528997-0cc8-4f6a-853e-398f7c6c0597", | 199 | "id": "4b528997-0cc8-4f6a-853e-398f7c6c0597", | ||
200 | "name": "BIOCLIM", | 200 | "name": "BIOCLIM", | ||
201 | "state": "active", | 201 | "state": "active", | ||
202 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
203 | }, | 203 | }, | ||
204 | { | 204 | { | ||
205 | "display_name": "CLIMATE", | 205 | "display_name": "CLIMATE", | ||
206 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | 206 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | ||
207 | "name": "CLIMATE", | 207 | "name": "CLIMATE", | ||
208 | "state": "active", | 208 | "state": "active", | ||
209 | "vocabulary_id": null | 209 | "vocabulary_id": null | ||
210 | }, | 210 | }, | ||
211 | { | 211 | { | ||
212 | "display_name": "CLIMATE CHANGE", | 212 | "display_name": "CLIMATE CHANGE", | ||
213 | "id": "7586fd99-56bd-4c44-ace2-14d87ec1dd9b", | 213 | "id": "7586fd99-56bd-4c44-ace2-14d87ec1dd9b", | ||
214 | "name": "CLIMATE CHANGE", | 214 | "name": "CLIMATE CHANGE", | ||
215 | "state": "active", | 215 | "state": "active", | ||
216 | "vocabulary_id": null | 216 | "vocabulary_id": null | ||
217 | }, | 217 | }, | ||
218 | { | 218 | { | ||
219 | "display_name": "CLIMATE LAYERS", | 219 | "display_name": "CLIMATE LAYERS", | ||
220 | "id": "a61fe154-a168-4df0-add3-73b55d531ef4", | 220 | "id": "a61fe154-a168-4df0-add3-73b55d531ef4", | ||
221 | "name": "CLIMATE LAYERS", | 221 | "name": "CLIMATE LAYERS", | ||
222 | "state": "active", | 222 | "state": "active", | ||
223 | "vocabulary_id": null | 223 | "vocabulary_id": null | ||
224 | }, | 224 | }, | ||
225 | { | 225 | { | ||
226 | "display_name": "CLIMATOLOGY", | 226 | "display_name": "CLIMATOLOGY", | ||
227 | "id": "5f85d229-4640-4c70-9362-0d2666116d9b", | 227 | "id": "5f85d229-4640-4c70-9362-0d2666116d9b", | ||
228 | "name": "CLIMATOLOGY", | 228 | "name": "CLIMATOLOGY", | ||
229 | "state": "active", | 229 | "state": "active", | ||
230 | "vocabulary_id": null | 230 | "vocabulary_id": null | ||
231 | }, | 231 | }, | ||
232 | { | 232 | { | ||
233 | "display_name": "FREE CLIMATE DATA", | 233 | "display_name": "FREE CLIMATE DATA", | ||
234 | "id": "1d6d8005-8bfb-4f4f-ae60-71a75399d963", | 234 | "id": "1d6d8005-8bfb-4f4f-ae60-71a75399d963", | ||
235 | "name": "FREE CLIMATE DATA", | 235 | "name": "FREE CLIMATE DATA", | ||
236 | "state": "active", | 236 | "state": "active", | ||
237 | "vocabulary_id": null | 237 | "vocabulary_id": null | ||
238 | }, | 238 | }, | ||
239 | { | 239 | { | ||
240 | "display_name": "PRECIPITATION", | 240 | "display_name": "PRECIPITATION", | ||
241 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | 241 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | ||
242 | "name": "PRECIPITATION", | 242 | "name": "PRECIPITATION", | ||
243 | "state": "active", | 243 | "state": "active", | ||
244 | "vocabulary_id": null | 244 | "vocabulary_id": null | ||
245 | }, | 245 | }, | ||
246 | { | 246 | { | ||
247 | "display_name": "TEMPERATURE", | 247 | "display_name": "TEMPERATURE", | ||
248 | "id": "bbdcfdc8-2700-4889-a062-c30bff494244", | 248 | "id": "bbdcfdc8-2700-4889-a062-c30bff494244", | ||
249 | "name": "TEMPERATURE", | 249 | "name": "TEMPERATURE", | ||
250 | "state": "active", | 250 | "state": "active", | ||
251 | "vocabulary_id": null | 251 | "vocabulary_id": null | ||
252 | } | 252 | } | ||
253 | ], | 253 | ], | ||
254 | "title": "Climatologies at high resolution for the earth\u2019s land | 254 | "title": "Climatologies at high resolution for the earth\u2019s land | ||
255 | surface areas", | 255 | surface areas", | ||
256 | "type": "dataset", | 256 | "type": "dataset", | ||
257 | "url": null, | 257 | "url": null, | ||
258 | "version": "2.1" | 258 | "version": "2.1" | ||
259 | } | 259 | } |