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Uploaded a new file to resource Data Access in CHELSAcruts - High resolution temperature and precipitation timeseries for the 20th century and beyond
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) in CHELSAcruts - High resolution temperature and precipitation timeseries for the 20th century and beyond
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"Swiss Federal Research Institute | 2 | "author": "[{\"affiliation\": \"Swiss Federal Research Institute | ||
3 | WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 3 | WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
4 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | 4 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||
5 | \"software\", \"publication\"], \"email\": \"dirk.karger@wsl.ch\", | 5 | \"software\", \"publication\"], \"email\": \"dirk.karger@wsl.ch\", | ||
6 | \"given_name\": \"Dirk Nikolaus \", \"identifier\": | 6 | \"given_name\": \"Dirk Nikolaus \", \"identifier\": | ||
7 | \"0000-0001-7770-6229\", \"name\": \"Karger\"}, {\"affiliation\": | 7 | \"0000-0001-7770-6229\", \"name\": \"Karger\"}, {\"affiliation\": | ||
8 | \"Swiss Federal Research Institute WSL\", \"affiliation_02\": \"Swiss | 8 | \"Swiss Federal Research Institute WSL\", \"affiliation_02\": \"Swiss | ||
9 | Federal Institute of Technology in Zurich ETH\", \"affiliation_03\": | 9 | Federal Institute of Technology in Zurich ETH\", \"affiliation_03\": | ||
10 | \"\", \"data_credit\": \"supervision\", \"email\": | 10 | \"\", \"data_credit\": \"supervision\", \"email\": | ||
11 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | 11 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | ||
12 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}]", | 12 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}]", | ||
13 | "author_email": null, | 13 | "author_email": null, | ||
14 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | 14 | "creator_user_id": "79c25661-4036-4862-8f1b-97c95027156b", | ||
15 | "date": "[{\"date\": \"2018-10-30\", \"date_type\": \"created\", | 15 | "date": "[{\"date\": \"2018-10-30\", \"date_type\": \"created\", | ||
16 | \"end_date\": \"\"}]", | 16 | \"end_date\": \"\"}]", | ||
17 | "doi": "10.16904/envidat.159", | 17 | "doi": "10.16904/envidat.159", | ||
18 | "extras": [ | 18 | "extras": [ | ||
19 | { | 19 | { | ||
20 | "key": "dora_link", | 20 | "key": "dora_link", | ||
21 | "value": "" | 21 | "value": "" | ||
22 | } | 22 | } | ||
23 | ], | 23 | ], | ||
24 | "funding": "[{\"grant_number\": \"exChelsa\", \"institution\": | 24 | "funding": "[{\"grant_number\": \"exChelsa\", \"institution\": | ||
25 | \"WSL\", \"institution_url\": \"http://www.wsl.ch\"}]", | 25 | \"WSL\", \"institution_url\": \"http://www.wsl.ch\"}]", | ||
26 | "groups": [], | 26 | "groups": [], | ||
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28 | "isopen": true, | 28 | "isopen": true, | ||
29 | "language": "en", | 29 | "language": "en", | ||
30 | "license_id": "cc-by-sa", | 30 | "license_id": "cc-by-sa", | ||
31 | "license_title": "Creative Commons Attribution Share-Alike | 31 | "license_title": "Creative Commons Attribution Share-Alike | ||
32 | (CC-BY-SA)", | 32 | (CC-BY-SA)", | ||
33 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 33 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
34 | "maintainer": "{\"affiliation\": \"Swiss Federal Research Institute | 34 | "maintainer": "{\"affiliation\": \"Swiss Federal Research Institute | ||
35 | WSL\", \"email\": \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk | 35 | WSL\", \"email\": \"dirk.karger@wsl.ch\", \"given_name\": \"Dirk | ||
36 | Nikolaus \", \"identifier\": \"0000-0001-7770-6229\", \"name\": | 36 | Nikolaus \", \"identifier\": \"0000-0001-7770-6229\", \"name\": | ||
37 | \"Karger\"}", | 37 | \"Karger\"}", | ||
38 | "maintainer_email": null, | 38 | "maintainer_email": null, | ||
39 | "metadata_created": "2018-10-29T10:31:37.913340", | 39 | "metadata_created": "2018-10-29T10:31:37.913340", | ||
n | 40 | "metadata_modified": "2021-04-20T16:41:20.578995", | n | 40 | "metadata_modified": "2024-09-19T14:43:15.464599", |
41 | "name": "chelsacruts", | 41 | "name": "chelsacruts", | ||
42 | "notes": "CHELSAcruts is a delta change monthly climate dataset for | 42 | "notes": "CHELSAcruts is a delta change monthly climate dataset for | ||
43 | the years 1901-2016 for mean monthly maximum temperatures, mean | 43 | the years 1901-2016 for mean monthly maximum temperatures, mean | ||
44 | monthly minimum temperatures, and monthly precipitation sum. Here we | 44 | monthly minimum temperatures, and monthly precipitation sum. Here we | ||
45 | use the delta change method by B-spline interpolation of anomalies | 45 | use the delta change method by B-spline interpolation of anomalies | ||
46 | (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated | 46 | (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated | ||
47 | between all CRU TS grid cells and are then added (for temperature | 47 | between all CRU TS grid cells and are then added (for temperature | ||
48 | variables) or multiplied (in case of precipitation) to high resolution | 48 | variables) or multiplied (in case of precipitation) to high resolution | ||
49 | climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). | 49 | climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). | ||
50 | This method has the assumption that climate only varies on the scale | 50 | This method has the assumption that climate only varies on the scale | ||
51 | of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) | 51 | of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) | ||
52 | is consistent over time. This is certainly a rather crude assumption, | 52 | is consistent over time. This is certainly a rather crude assumption, | ||
53 | and for time periods for which more accurate data is available | 53 | and for time periods for which more accurate data is available | ||
54 | CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for | 54 | CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for | ||
55 | 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take | 55 | 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take | ||
56 | changing wind patterns, or temperature lapse rates into account, but | 56 | changing wind patterns, or temperature lapse rates into account, but | ||
57 | rather expects them to be constant over time, and similar to the long | 57 | rather expects them to be constant over time, and similar to the long | ||
58 | term averages.\r\n\r\nCHELSAcruts is licensed under a Creative Commons | 58 | term averages.\r\n\r\nCHELSAcruts is licensed under a Creative Commons | ||
59 | Attribution 2.0 Generic (CC BY 2.0) license.", | 59 | Attribution 2.0 Generic (CC BY 2.0) license.", | ||
60 | "num_resources": 2, | 60 | "num_resources": 2, | ||
61 | "num_tags": 9, | 61 | "num_tags": 9, | ||
62 | "organization": { | 62 | "organization": { | ||
63 | "approval_status": "approved", | 63 | "approval_status": "approved", | ||
64 | "created": "2018-05-31T14:24:18.890912", | 64 | "created": "2018-05-31T14:24:18.890912", | ||
65 | "description": "The dynamic macroecology group studies different | 65 | "description": "The dynamic macroecology group studies different | ||
66 | aspects of ecology on large spatial and temporal scales, from the | 66 | aspects of ecology on large spatial and temporal scales, from the | ||
67 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 67 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
68 | species and their traits change in space and time, particularly with | 68 | species and their traits change in space and time, particularly with | ||
69 | global change?\u201d", | 69 | global change?\u201d", | ||
70 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 70 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
n | 71 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | n | 71 | "image_url": "", |
72 | "is_organization": true, | 72 | "is_organization": true, | ||
73 | "name": "dynamic-macroecology", | 73 | "name": "dynamic-macroecology", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "title": "Dynamic Macroecology", | 75 | "title": "Dynamic Macroecology", | ||
76 | "type": "organization" | 76 | "type": "organization" | ||
77 | }, | 77 | }, | ||
78 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 78 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "publication": "{\"publication_year\": \"2018\", \"publisher\": | 80 | "publication": "{\"publication_year\": \"2018\", \"publisher\": | ||
81 | \"EnviDat\"}", | 81 | \"EnviDat\"}", | ||
82 | "publication_state": "published", | 82 | "publication_state": "published", | ||
83 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | 83 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | ||
84 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | 84 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | ||
85 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | 85 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2017). | ||
86 | Climatologies at high resolution for the earth\u2019s land surface | 86 | Climatologies at high resolution for the earth\u2019s land surface | ||
87 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | 87 | areas. Dryad Digital Repository. doi: 10.5061/dryad.kd1d4. | ||
88 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | 88 | \r\n\r\nDirk Nikolaus Karger; Dirk Schmatz; Gabriel Dettling; Niklaus | ||
89 | E. Zimmermann (2019). High resolution monthly precipitation and | 89 | E. Zimmermann (2019). High resolution monthly precipitation and | ||
90 | temperature timeseries for the period 2006-2100. EnviDat. doi: | 90 | temperature timeseries for the period 2006-2100. EnviDat. doi: | ||
91 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | 91 | 10.16904/envidat.124. \r\n\r\nDirk Nikolaus Karger; Babek Dabaghchian; | ||
92 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | 92 | Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; Catherine H. | ||
93 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | 93 | Graham (2020). High resolution climate data for Europe. EnviDat. doi: | ||
94 | 10.16904/envidat.150. \r\n\r\n", | 94 | 10.16904/envidat.150. \r\n\r\n", | ||
95 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | 95 | "related_publications": "Karger, D.N., Conrad, O., B\u00f6hner, J., | ||
96 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | 96 | Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, | ||
97 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | 97 | H.P. & Kessler, M. (2017) Climatologies at high resolution for the | ||
98 | earth\u2019s land surface areas. Scientific Data 4, | 98 | earth\u2019s land surface areas. Scientific Data 4, | ||
99 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | 99 | 170122.\r\n\r\nKarger, D.N., Schmatz, D., Detttling, D., Zimmermann, | ||
100 | N.E. (2020) High resolution monthly precipitation and temperature | 100 | N.E. (2020) High resolution monthly precipitation and temperature | ||
101 | timeseries for the period 2006-2100. Scientific Data.", | 101 | timeseries for the period 2006-2100. Scientific Data.", | ||
102 | "relationships_as_object": [], | 102 | "relationships_as_object": [], | ||
103 | "relationships_as_subject": [], | 103 | "relationships_as_subject": [], | ||
104 | "resource_type": "dataset", | 104 | "resource_type": "dataset", | ||
105 | "resource_type_general": "dataset", | 105 | "resource_type_general": "dataset", | ||
106 | "resources": [ | 106 | "resources": [ | ||
107 | { | 107 | { | ||
108 | "cache_last_updated": null, | 108 | "cache_last_updated": null, | ||
109 | "cache_url": null, | 109 | "cache_url": null, | ||
110 | "created": "2018-10-29T10:34:06.438626", | 110 | "created": "2018-10-29T10:34:06.438626", | ||
111 | "description": "CHELSAcruts is a delta change monthly climate | 111 | "description": "CHELSAcruts is a delta change monthly climate | ||
112 | dataset for the years 1901-2016 for mean monthly maximum temperatures, | 112 | dataset for the years 1901-2016 for mean monthly maximum temperatures, | ||
113 | mean monthly minimum temperatures, and monthly precipitation sum. ", | 113 | mean monthly minimum temperatures, and monthly precipitation sum. ", | ||
114 | "doi": "", | 114 | "doi": "", | ||
115 | "format": "geotiff", | 115 | "format": "geotiff", | ||
116 | "hash": "", | 116 | "hash": "", | ||
117 | "id": "66227f94-6404-4656-a61f-d6aad9fe6f3a", | 117 | "id": "66227f94-6404-4656-a61f-d6aad9fe6f3a", | ||
118 | "last_modified": null, | 118 | "last_modified": null, | ||
n | 119 | "metadata_modified": "2020-12-16T11:29:48.239052", | n | 119 | "metadata_modified": "2024-09-19T14:43:15.480203", |
120 | "mimetype": null, | 120 | "mimetype": null, | ||
121 | "mimetype_inner": null, | 121 | "mimetype_inner": null, | ||
122 | "name": "Data Access", | 122 | "name": "Data Access", | ||
123 | "package_id": "9c9c699a-e57f-49e9-b489-c6abdfa9b53b", | 123 | "package_id": "9c9c699a-e57f-49e9-b489-c6abdfa9b53b", | ||
124 | "position": 0, | 124 | "position": 0, | ||
n | n | 125 | "publication_state": "", | ||
125 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 126 | "resource_size": "{\"size_units\": \"tb\", \"size_value\": | ||
126 | \"\"}", | 127 | \"3\"}", | ||
127 | "resource_type": null, | 128 | "resource_type": null, | ||
128 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 129 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
129 | \"shared_secret\": \"\"}", | 130 | \"shared_secret\": \"\"}", | ||
130 | "size": null, | 131 | "size": null, | ||
131 | "state": "active", | 132 | "state": "active", | ||
132 | "url": | 133 | "url": | ||
n | 133 | "https://envicloud.wsl.ch/#/?prefix=chelsa/chelsa_V1/chelsa_cruts/", | n | 134 | 3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F&prefix=chelsa_cruts%2F", |
134 | "url_type": null | 135 | "url_type": null | ||
135 | }, | 136 | }, | ||
136 | { | 137 | { | ||
137 | "cache_last_updated": null, | 138 | "cache_last_updated": null, | ||
138 | "cache_url": null, | 139 | "cache_url": null, | ||
139 | "created": "2020-06-23T05:55:14.933962", | 140 | "created": "2020-06-23T05:55:14.933962", | ||
140 | "description": "As the CHELSA project is continuously expanded, | 141 | "description": "As the CHELSA project is continuously expanded, | ||
141 | certain new parameters, time scales etc. are not included anymore in | 142 | certain new parameters, time scales etc. are not included anymore in | ||
142 | the original publication (Karger et al. 2017). We are therefore | 143 | the original publication (Karger et al. 2017). We are therefore | ||
143 | provide this document as a guideline of the current climatic | 144 | provide this document as a guideline of the current climatic | ||
144 | parameters available and will expand it as new parameters or time | 145 | parameters available and will expand it as new parameters or time | ||
145 | periods will become available. Please refer to the version history for | 146 | periods will become available. Please refer to the version history for | ||
146 | changes made in the document.", | 147 | changes made in the document.", | ||
147 | "doi": "", | 148 | "doi": "", | ||
148 | "format": "PDF", | 149 | "format": "PDF", | ||
149 | "hash": "", | 150 | "hash": "", | ||
150 | "id": "26958a2a-c7fa-4f16-82ce-57f2bbac59c8", | 151 | "id": "26958a2a-c7fa-4f16-82ce-57f2bbac59c8", | ||
151 | "last_modified": null, | 152 | "last_modified": null, | ||
152 | "metadata_modified": null, | 153 | "metadata_modified": null, | ||
153 | "mimetype": "application/pdf", | 154 | "mimetype": "application/pdf", | ||
154 | "mimetype_inner": null, | 155 | "mimetype_inner": null, | ||
155 | "name": "CHELSA Technical Documentation ", | 156 | "name": "CHELSA Technical Documentation ", | ||
156 | "package_id": "9c9c699a-e57f-49e9-b489-c6abdfa9b53b", | 157 | "package_id": "9c9c699a-e57f-49e9-b489-c6abdfa9b53b", | ||
157 | "position": 1, | 158 | "position": 1, | ||
158 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 159 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
159 | \"kb\"}", | 160 | \"kb\"}", | ||
160 | "resource_type": null, | 161 | "resource_type": null, | ||
161 | "restricted": "{\"shared_secret\": \"\", \"allowed_users\": | 162 | "restricted": "{\"shared_secret\": \"\", \"allowed_users\": | ||
162 | \"\", \"level\": \"public\"}", | 163 | \"\", \"level\": \"public\"}", | ||
163 | "size": null, | 164 | "size": null, | ||
164 | "state": "active", | 165 | "state": "active", | ||
165 | "url": | 166 | "url": | ||
166 | lsa-climate.org/wp-admin/download-page/CHELSA_tech_specification.pdf", | 167 | lsa-climate.org/wp-admin/download-page/CHELSA_tech_specification.pdf", | ||
167 | "url_type": null | 168 | "url_type": null | ||
168 | } | 169 | } | ||
169 | ], | 170 | ], | ||
170 | "spatial": | 171 | "spatial": | ||
171 | oordinates\":[[[-180,-90],[-180,90],[180,90],[180,-90],[-180,-90]]]}", | 172 | oordinates\":[[[-180,-90],[-180,90],[180,90],[180,-90],[-180,-90]]]}", | ||
172 | "spatial_info": "global", | 173 | "spatial_info": "global", | ||
173 | "state": "active", | 174 | "state": "active", | ||
174 | "subtitle": "", | 175 | "subtitle": "", | ||
175 | "tags": [ | 176 | "tags": [ | ||
176 | { | 177 | { | ||
177 | "display_name": "AIR TEMPERATURE", | 178 | "display_name": "AIR TEMPERATURE", | ||
178 | "id": "ba9c8c16-f908-4173-affa-f813f7f8cd13", | 179 | "id": "ba9c8c16-f908-4173-affa-f813f7f8cd13", | ||
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180 | "state": "active", | 181 | "state": "active", | ||
181 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
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183 | { | 184 | { | ||
184 | "display_name": "CENTURY", | 185 | "display_name": "CENTURY", | ||
185 | "id": "496d1f3a-7674-4eaf-8537-b01831ec751a", | 186 | "id": "496d1f3a-7674-4eaf-8537-b01831ec751a", | ||
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187 | "state": "active", | 188 | "state": "active", | ||
188 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
189 | }, | 190 | }, | ||
190 | { | 191 | { | ||
191 | "display_name": "CLIMATE", | 192 | "display_name": "CLIMATE", | ||
192 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | 193 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | ||
193 | "name": "CLIMATE", | 194 | "name": "CLIMATE", | ||
194 | "state": "active", | 195 | "state": "active", | ||
195 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
196 | }, | 197 | }, | ||
197 | { | 198 | { | ||
198 | "display_name": "CLIMATE LAYERS", | 199 | "display_name": "CLIMATE LAYERS", | ||
199 | "id": "a61fe154-a168-4df0-add3-73b55d531ef4", | 200 | "id": "a61fe154-a168-4df0-add3-73b55d531ef4", | ||
200 | "name": "CLIMATE LAYERS", | 201 | "name": "CLIMATE LAYERS", | ||
201 | "state": "active", | 202 | "state": "active", | ||
202 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
203 | }, | 204 | }, | ||
204 | { | 205 | { | ||
205 | "display_name": "FREE CLIMATE DATA", | 206 | "display_name": "FREE CLIMATE DATA", | ||
206 | "id": "1d6d8005-8bfb-4f4f-ae60-71a75399d963", | 207 | "id": "1d6d8005-8bfb-4f4f-ae60-71a75399d963", | ||
207 | "name": "FREE CLIMATE DATA", | 208 | "name": "FREE CLIMATE DATA", | ||
208 | "state": "active", | 209 | "state": "active", | ||
209 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
210 | }, | 211 | }, | ||
211 | { | 212 | { | ||
212 | "display_name": "MAXIMUM TEMPERATURE", | 213 | "display_name": "MAXIMUM TEMPERATURE", | ||
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214 | "name": "MAXIMUM TEMPERATURE", | 215 | "name": "MAXIMUM TEMPERATURE", | ||
215 | "state": "active", | 216 | "state": "active", | ||
216 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
217 | }, | 218 | }, | ||
218 | { | 219 | { | ||
219 | "display_name": "MINIMUM TEMPERATURE", | 220 | "display_name": "MINIMUM TEMPERATURE", | ||
220 | "id": "4b5a6dd7-3635-4991-a507-ef121d44ea52", | 221 | "id": "4b5a6dd7-3635-4991-a507-ef121d44ea52", | ||
221 | "name": "MINIMUM TEMPERATURE", | 222 | "name": "MINIMUM TEMPERATURE", | ||
222 | "state": "active", | 223 | "state": "active", | ||
223 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
224 | }, | 225 | }, | ||
225 | { | 226 | { | ||
226 | "display_name": "PRECIPITATION", | 227 | "display_name": "PRECIPITATION", | ||
227 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | 228 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | ||
228 | "name": "PRECIPITATION", | 229 | "name": "PRECIPITATION", | ||
229 | "state": "active", | 230 | "state": "active", | ||
230 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
231 | }, | 232 | }, | ||
232 | { | 233 | { | ||
233 | "display_name": "TIMESERIES", | 234 | "display_name": "TIMESERIES", | ||
t | 234 | "id": "6936f0a4-f65b-420d-9cda-ea0fd54e3d49", | t | 235 | "id": "72fb3b53-c943-43ff-9b74-a59ebadfb060", |
235 | "name": "TIMESERIES", | 236 | "name": "TIMESERIES", | ||
236 | "state": "active", | 237 | "state": "active", | ||
237 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
238 | } | 239 | } | ||
239 | ], | 240 | ], | ||
240 | "title": "CHELSAcruts - High resolution temperature and | 241 | "title": "CHELSAcruts - High resolution temperature and | ||
241 | precipitation timeseries for the 20th century and beyond", | 242 | precipitation timeseries for the 20th century and beyond", | ||
242 | "type": "dataset", | 243 | "type": "dataset", | ||
243 | "url": null, | 244 | "url": null, | ||
244 | "version": "1.0" | 245 | "version": "1.0" | ||
245 | } | 246 | } |