Changes
On June 10, 2021 at 12:09:01 PM UTC, Administrator:
-
Renamed resource CHELSA V1.2 to CHELSA V1.2 (deprecated) in Climatologies at high resolution for the earth’s land surface areas
f | 1 | { | f | 1 | { |
2 | "author": "[{\"name\": \"Karger\", \"data_credit\": [\"collection\", | 2 | "author": "[{\"name\": \"Karger\", \"data_credit\": [\"collection\", | ||
3 | \"validation\", \"curation\", \"publication\", \"supervision\"], | 3 | \"validation\", \"curation\", \"publication\", \"supervision\"], | ||
4 | \"affiliation\": \"WSL\", \"affiliation_03\": \"\", \"given_name\": | 4 | \"affiliation\": \"WSL\", \"affiliation_03\": \"\", \"given_name\": | ||
5 | \"Dirk Nikolaus \", \"identifier\": \"\", \"email\": | 5 | \"Dirk Nikolaus \", \"identifier\": \"\", \"email\": | ||
6 | \"dirk.karger@wsl.ch\", \"affiliation_02\": \"\"}, {\"name\": | 6 | \"dirk.karger@wsl.ch\", \"affiliation_02\": \"\"}, {\"name\": | ||
7 | \"Conrad\", \"affiliation\": \"University of Hamburg\", | 7 | \"Conrad\", \"affiliation\": \"University of Hamburg\", | ||
8 | \"affiliation_03\": \"\", \"affiliation_02\": \"\", \"identifier\": | 8 | \"affiliation_03\": \"\", \"affiliation_02\": \"\", \"identifier\": | ||
9 | \"\", \"email\": \"olaf.conrad@uni-hamburg.de\", \"given_name\": | 9 | \"\", \"email\": \"olaf.conrad@uni-hamburg.de\", \"given_name\": | ||
10 | \"Olaf\"}, {\"name\": \"B\\u00f6hner\", \"affiliation\": \"University | 10 | \"Olaf\"}, {\"name\": \"B\\u00f6hner\", \"affiliation\": \"University | ||
11 | of Hamburg\", \"affiliation_03\": \"\", \"given_name\": | 11 | of Hamburg\", \"affiliation_03\": \"\", \"given_name\": | ||
12 | \"J\\u00fcrgen\", \"identifier\": \"\", \"email\": | 12 | \"J\\u00fcrgen\", \"identifier\": \"\", \"email\": | ||
13 | \"juergen.boehner@uni-hamburg.de\", \"affiliation_02\": \"\"}, | 13 | \"juergen.boehner@uni-hamburg.de\", \"affiliation_02\": \"\"}, | ||
14 | {\"name\": \"Kawohl\", \"affiliation\": \"University of Hamburg\", | 14 | {\"name\": \"Kawohl\", \"affiliation\": \"University of Hamburg\", | ||
15 | \"affiliation_03\": \"\", \"given_name\": \"Tobias\", \"identifier\": | 15 | \"affiliation_03\": \"\", \"given_name\": \"Tobias\", \"identifier\": | ||
16 | \"\", \"email\": \"tobias.kawohl@uni-hamburg.de\", \"affiliation_02\": | 16 | \"\", \"email\": \"tobias.kawohl@uni-hamburg.de\", \"affiliation_02\": | ||
17 | \"\"}, {\"name\": \"Kreft\", \"affiliation\": \"University of | 17 | \"\"}, {\"name\": \"Kreft\", \"affiliation\": \"University of | ||
18 | Goettingen\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | 18 | Goettingen\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | ||
19 | \"identifier\": \"\", \"email\": \"hkreft@uni-goettingen.de\", | 19 | \"identifier\": \"\", \"email\": \"hkreft@uni-goettingen.de\", | ||
20 | \"given_name\": \"Holger\"}, {\"name\": \"Soria-Auza\", | 20 | \"given_name\": \"Holger\"}, {\"name\": \"Soria-Auza\", | ||
21 | \"affiliation\": \"Rodrigo Wilber Soria-Auza\", \"affiliation_03\": | 21 | \"affiliation\": \"Rodrigo Wilber Soria-Auza\", \"affiliation_03\": | ||
22 | \"\", \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | 22 | \"\", \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | ||
23 | \"wilbersa@armonia-bo.org\", \"given_name\": \"Rodrigo Wilber \"}, | 23 | \"wilbersa@armonia-bo.org\", \"given_name\": \"Rodrigo Wilber \"}, | ||
24 | {\"name\": \"Zimmermann\", \"affiliation\": \"WSL\", | 24 | {\"name\": \"Zimmermann\", \"affiliation\": \"WSL\", | ||
25 | \"affiliation_03\": \"\", \"affiliation_02\": \"\", \"identifier\": | 25 | \"affiliation_03\": \"\", \"affiliation_02\": \"\", \"identifier\": | ||
26 | \"\", \"email\": \"niklaus.zimmermann@wsl.ch\", \"given_name\": | 26 | \"\", \"email\": \"niklaus.zimmermann@wsl.ch\", \"given_name\": | ||
27 | \"Niklaus E.\"}, {\"name\": \"Linder\", \"affiliation\": \"University | 27 | \"Niklaus E.\"}, {\"name\": \"Linder\", \"affiliation\": \"University | ||
28 | of Zurich\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | 28 | of Zurich\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | ||
29 | \"identifier\": \"\", \"email\": \"peter.linder@systbot.uzh.ch\", | 29 | \"identifier\": \"\", \"email\": \"peter.linder@systbot.uzh.ch\", | ||
30 | \"given_name\": \"H. Peter \"}, {\"name\": \"Kessler\", | 30 | \"given_name\": \"H. Peter \"}, {\"name\": \"Kessler\", | ||
31 | \"affiliation\": \"University of Zurich\", \"affiliation_03\": \"\", | 31 | \"affiliation\": \"University of Zurich\", \"affiliation_03\": \"\", | ||
32 | \"given_name\": \"Michael\", \"identifier\": \"\", \"email\": | 32 | \"given_name\": \"Michael\", \"identifier\": \"\", \"email\": | ||
33 | \"michael.kessler@systbot.uzh.ch\", \"affiliation_02\": \"\"}]", | 33 | \"michael.kessler@systbot.uzh.ch\", \"affiliation_02\": \"\"}]", | ||
34 | "author_email": null, | 34 | "author_email": null, | ||
35 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | 35 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | ||
36 | "date": "[{\"date\": \"2017-07-21\", \"date_type\": \"created\", | 36 | "date": "[{\"date\": \"2017-07-21\", \"date_type\": \"created\", | ||
37 | \"end_date\": \"\"}]", | 37 | \"end_date\": \"\"}]", | ||
38 | "doi": "10.5061/dryad.kd1d4", | 38 | "doi": "10.5061/dryad.kd1d4", | ||
39 | "extras": [ | 39 | "extras": [ | ||
40 | { | 40 | { | ||
41 | "key": "License", | 41 | "key": "License", | ||
42 | "value": "CC BY0" | 42 | "value": "CC BY0" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "key": "dora_link", | 45 | "key": "dora_link", | ||
46 | "value": "" | 46 | "value": "" | ||
47 | } | 47 | } | ||
48 | ], | 48 | ], | ||
49 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Funding | 49 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Funding | ||
50 | information not available.\", \"institution_url\": \"\"}]", | 50 | information not available.\", \"institution_url\": \"\"}]", | ||
51 | "groups": [], | 51 | "groups": [], | ||
52 | "id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | 52 | "id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | ||
53 | "isopen": false, | 53 | "isopen": false, | ||
54 | "language": "en", | 54 | "language": "en", | ||
55 | "license_id": "other-undefined", | 55 | "license_id": "other-undefined", | ||
56 | "license_title": "Other (Specified in the description)", | 56 | "license_title": "Other (Specified in the description)", | ||
57 | "maintainer": "{\"affiliation\": \"WSL\", \"identifier\": \"\", | 57 | "maintainer": "{\"affiliation\": \"WSL\", \"identifier\": \"\", | ||
58 | \"given_name\": \"Dirk Nikolaus \", \"name\": \"Karger\", \"email\": | 58 | \"given_name\": \"Dirk Nikolaus \", \"name\": \"Karger\", \"email\": | ||
59 | \"dirk.karger@wsl.ch\"}", | 59 | \"dirk.karger@wsl.ch\"}", | ||
60 | "maintainer_email": null, | 60 | "maintainer_email": null, | ||
61 | "metadata_created": "2018-07-03T12:25:50.259890", | 61 | "metadata_created": "2018-07-03T12:25:50.259890", | ||
n | 62 | "metadata_modified": "2021-06-10T12:08:31.811393", | n | 62 | "metadata_modified": "2021-06-10T12:09:01.184976", |
63 | "name": "chelsa-climatologies", | 63 | "name": "chelsa-climatologies", | ||
64 | "notes": "High-resolution information on climatic conditions is | 64 | "notes": "High-resolution information on climatic conditions is | ||
65 | essential to many applications in environmental and ecological | 65 | essential to many applications in environmental and ecological | ||
66 | sciences. Here we present the CHELSA (Climatologies at high resolution | 66 | sciences. Here we present the CHELSA (Climatologies at high resolution | ||
67 | for the earth\u2019s land surface areas) data of downscaled model | 67 | for the earth\u2019s land surface areas) data of downscaled model | ||
68 | output temperature and precipitation estimates of the ERA-Interim | 68 | output temperature and precipitation estimates of the ERA-Interim | ||
69 | climatic reanalysis to a high resolution of 30\u2009arc\u2009sec. The | 69 | climatic reanalysis to a high resolution of 30\u2009arc\u2009sec. The | ||
70 | temperature algorithm is based on statistical downscaling of | 70 | temperature algorithm is based on statistical downscaling of | ||
71 | atmospheric temperatures. The precipitation algorithm incorporates | 71 | atmospheric temperatures. The precipitation algorithm incorporates | ||
72 | orographic predictors including wind fields, valley exposition, and | 72 | orographic predictors including wind fields, valley exposition, and | ||
73 | boundary layer height, with a subsequent bias correction. The | 73 | boundary layer height, with a subsequent bias correction. The | ||
74 | resulting data consist of a monthly temperature and precipitation | 74 | resulting data consist of a monthly temperature and precipitation | ||
75 | climatology for the years 1979\u20132013. We compare the data derived | 75 | climatology for the years 1979\u20132013. We compare the data derived | ||
76 | from the CHELSA algorithm with other standard gridded products and | 76 | from the CHELSA algorithm with other standard gridded products and | ||
77 | station data from the Global Historical Climate Network. We compare | 77 | station data from the Global Historical Climate Network. We compare | ||
78 | the performance of the new climatologies in species distribution | 78 | the performance of the new climatologies in species distribution | ||
79 | modelling and show that we can increase the accuracy of species range | 79 | modelling and show that we can increase the accuracy of species range | ||
80 | predictions. We further show that CHELSA climatological data has a | 80 | predictions. We further show that CHELSA climatological data has a | ||
81 | similar accuracy as other products for temperature, but that its | 81 | similar accuracy as other products for temperature, but that its | ||
82 | predictions of precipitation patterns are better.\r\n\r\nData Variable | 82 | predictions of precipitation patterns are better.\r\n\r\nData Variable | ||
83 | Codes:\r\n\r\n- Bio1 = Annual Mean Temperature\r\n- Bio2 = Mean | 83 | Codes:\r\n\r\n- Bio1 = Annual Mean Temperature\r\n- Bio2 = Mean | ||
84 | Diurnal Range\r\n- Bio3 = Isothermality\r\n- Bio4 = Temperature | 84 | Diurnal Range\r\n- Bio3 = Isothermality\r\n- Bio4 = Temperature | ||
85 | Seasonality\r\n- Bio5 = Max Temperature of Warmest Month\r\n- Bio6 = | 85 | Seasonality\r\n- Bio5 = Max Temperature of Warmest Month\r\n- Bio6 = | ||
86 | Min Temperature of Coldest Month\r\n- Bio7 = Temperature Annual | 86 | Min Temperature of Coldest Month\r\n- Bio7 = Temperature Annual | ||
87 | Range\r\n- Bio8 = Mean Temperature of Wettest Quarter\r\n- Bio9 = Mean | 87 | Range\r\n- Bio8 = Mean Temperature of Wettest Quarter\r\n- Bio9 = Mean | ||
88 | Temperature of Driest Quarter\r\n- Bio10 = Mean Temperature of Warmest | 88 | Temperature of Driest Quarter\r\n- Bio10 = Mean Temperature of Warmest | ||
89 | Quarter\r\n- Bio11 = Mean Temperature of Coldest Quarter\r\n- Bio12 = | 89 | Quarter\r\n- Bio11 = Mean Temperature of Coldest Quarter\r\n- Bio12 = | ||
90 | Annual Precipitation\r\n- Bio13 = Precipitation of Wettest Month\r\n- | 90 | Annual Precipitation\r\n- Bio13 = Precipitation of Wettest Month\r\n- | ||
91 | Bio14 = Precipitation of Driest Month\r\n- Bio15 = Precipitation | 91 | Bio14 = Precipitation of Driest Month\r\n- Bio15 = Precipitation | ||
92 | Seasonality\r\n- Bio16 = Precipitation of Wettest Quarter\r\n- Bio17 = | 92 | Seasonality\r\n- Bio16 = Precipitation of Wettest Quarter\r\n- Bio17 = | ||
93 | Precipitation of Driest Quarter\r\n- Bio18 = Precipitation of Warmest | 93 | Precipitation of Driest Quarter\r\n- Bio18 = Precipitation of Warmest | ||
94 | Quarter\r\n- Bio19 = Precipitation of Coldest | 94 | Quarter\r\n- Bio19 = Precipitation of Coldest | ||
95 | Quarter\r\n\r\n \r\n__Paper Citation:__\r\n > _Karger DN. et al. | 95 | Quarter\r\n\r\n \r\n__Paper Citation:__\r\n > _Karger DN. et al. | ||
96 | Climatologies at high resolution for the earth\u2019s land surface | 96 | Climatologies at high resolution for the earth\u2019s land surface | ||
97 | areas, Scientific Data, 4, 170122 (2017) [doi: | 97 | areas, Scientific Data, 4, 170122 (2017) [doi: | ||
98 | 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._", | 98 | 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._", | ||
99 | "num_resources": 2, | 99 | "num_resources": 2, | ||
100 | "num_tags": 8, | 100 | "num_tags": 8, | ||
101 | "organization": { | 101 | "organization": { | ||
102 | "approval_status": "approved", | 102 | "approval_status": "approved", | ||
103 | "created": "2018-05-31T14:24:18.890912", | 103 | "created": "2018-05-31T14:24:18.890912", | ||
104 | "description": "The dynamic macroecology group studies different | 104 | "description": "The dynamic macroecology group studies different | ||
105 | aspects of ecology on large spatial and temporal scales, from the | 105 | aspects of ecology on large spatial and temporal scales, from the | ||
106 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 106 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
107 | species and their traits change in space and time, particularly with | 107 | species and their traits change in space and time, particularly with | ||
108 | global change?\u201d", | 108 | global change?\u201d", | ||
109 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 109 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
110 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 110 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
111 | "is_organization": true, | 111 | "is_organization": true, | ||
112 | "name": "dynamic-macroecology", | 112 | "name": "dynamic-macroecology", | ||
113 | "state": "active", | 113 | "state": "active", | ||
114 | "title": "Dynamic Macroecology", | 114 | "title": "Dynamic Macroecology", | ||
115 | "type": "organization" | 115 | "type": "organization" | ||
116 | }, | 116 | }, | ||
117 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 117 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
118 | "private": false, | 118 | "private": false, | ||
119 | "publication": "{\"publisher\": \"Dryad Digital Repository\", | 119 | "publication": "{\"publisher\": \"Dryad Digital Repository\", | ||
120 | \"publication_year\": \"2017\"}", | 120 | \"publication_year\": \"2017\"}", | ||
121 | "publication_state": "", | 121 | "publication_state": "", | ||
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", | ||
135 | "hash": "", | 135 | "hash": "", | ||
136 | "id": "ee935f48-b3da-432d-961d-f815289e476f", | 136 | "id": "ee935f48-b3da-432d-961d-f815289e476f", | ||
137 | "last_modified": null, | 137 | "last_modified": null, | ||
138 | "metadata_modified": "2021-06-10T12:08:31.816443", | 138 | "metadata_modified": "2021-06-10T12:08:31.816443", | ||
139 | "mimetype": null, | 139 | "mimetype": null, | ||
140 | "mimetype_inner": null, | 140 | "mimetype_inner": null, | ||
141 | "name": "CHELSA V2.1 (current)", | 141 | "name": "CHELSA V2.1 (current)", | ||
142 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | 142 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | ||
143 | "position": 0, | 143 | "position": 0, | ||
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145 | \"\"}", | 145 | \"\"}", | ||
146 | "resource_type": null, | 146 | "resource_type": null, | ||
147 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 147 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
148 | \"shared_secret\": \"\"}", | 148 | \"shared_secret\": \"\"}", | ||
149 | "size": null, | 149 | "size": null, | ||
150 | "state": "active", | 150 | "state": "active", | ||
151 | "url": | 151 | "url": | ||
152 | "https://envicloud.wsl.ch/#/?prefix=chelsa%2Fchelsa_V2%2GLOBAL", | 152 | "https://envicloud.wsl.ch/#/?prefix=chelsa%2Fchelsa_V2%2GLOBAL", | ||
153 | "url_type": null | 153 | "url_type": null | ||
154 | }, | 154 | }, | ||
155 | { | 155 | { | ||
156 | "cache_last_updated": null, | 156 | "cache_last_updated": null, | ||
157 | "cache_url": null, | 157 | "cache_url": null, | ||
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", | ||
170 | "format": "geotiff", | 170 | "format": "geotiff", | ||
171 | "hash": "", | 171 | "hash": "", | ||
172 | "id": "6f71648b-6fa1-4d83-849e-50f239381407", | 172 | "id": "6f71648b-6fa1-4d83-849e-50f239381407", | ||
173 | "last_modified": null, | 173 | "last_modified": null, | ||
n | 174 | "metadata_modified": "2021-06-08T14:21:36.880058", | n | 174 | "metadata_modified": "2021-06-10T12:09:01.190187", |
175 | "mimetype": null, | 175 | "mimetype": null, | ||
176 | "mimetype_inner": null, | 176 | "mimetype_inner": null, | ||
t | 177 | "name": "CHELSA V1.2", | t | 177 | "name": "CHELSA V1.2 (deprecated)", |
178 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | 178 | "package_id": "2adb0c83-4653-4337-af28-f75c63ab7c74", | ||
179 | "position": 1, | 179 | "position": 1, | ||
180 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 180 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
181 | \"\"}", | 181 | \"\"}", | ||
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183 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 183 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
184 | \"shared_secret\": \"\"}", | 184 | \"shared_secret\": \"\"}", | ||
185 | "size": null, | 185 | "size": null, | ||
186 | "state": "active", | 186 | "state": "active", | ||
187 | "url": "https://envicloud.wsl.ch/#/?prefix=chelsa%2Fchelsa_V1", | 187 | "url": "https://envicloud.wsl.ch/#/?prefix=chelsa%2Fchelsa_V1", | ||
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": "1.2" | 258 | "version": "1.2" | ||
259 | } | 259 | } |