Changes
On June 13, 2022 at 1:51:24 PM UTC, Administrator:
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Changed value of field
publication_state
topublished
in CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"Swiss Federal Institute for Forest, | 2 | "author": "[{\"affiliation\": \"Swiss Federal Institute for Forest, | ||
3 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | 3 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | ||
4 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | 4 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | ||
5 | \"curation\", \"software\", \"publication\"], \"email\": | 5 | \"curation\", \"software\", \"publication\"], \"email\": | ||
6 | \"philipp.brun@wsl.ch\", \"given_name\": \"Philipp\", \"identifier\": | 6 | \"philipp.brun@wsl.ch\", \"given_name\": \"Philipp\", \"identifier\": | ||
7 | \"0000-0002-2750-9793\", \"name\": \"Brun\"}, {\"affiliation\": | 7 | \"0000-0002-2750-9793\", \"name\": \"Brun\"}, {\"affiliation\": | ||
8 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | 8 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | ||
9 | \", \"affiliation_02\": \"Dep. of Environmental Systems Science, ETH | 9 | \", \"affiliation_02\": \"Dep. of Environmental Systems Science, ETH | ||
10 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"curation\", | 10 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"curation\", | ||
11 | \"publication\"], \"email\": \"niklaus.zimmermann@wsl.ch\", | 11 | \"publication\"], \"email\": \"niklaus.zimmermann@wsl.ch\", | ||
12 | \"given_name\": \"Niklaus E.\", \"identifier\": | 12 | \"given_name\": \"Niklaus E.\", \"identifier\": | ||
13 | \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}, {\"affiliation\": | 13 | \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}, {\"affiliation\": | ||
14 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | 14 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | ||
15 | \", \"affiliation_02\": \"Wyss Academy for Nature\", | 15 | \", \"affiliation_02\": \"Wyss Academy for Nature\", | ||
16 | \"affiliation_03\": \"Oeschger Centre for Climate Change Research\", | 16 | \"affiliation_03\": \"Oeschger Centre for Climate Change Research\", | ||
17 | \"data_credit\": \"validation\", \"email\": | 17 | \"data_credit\": \"validation\", \"email\": | ||
18 | \"chantal.hari@wyssacademy.org\", \"given_name\": \"Chantal\", | 18 | \"chantal.hari@wyssacademy.org\", \"given_name\": \"Chantal\", | ||
19 | \"identifier\": \"0000-0003-2507-8747\", \"name\": \"Hari\"}, | 19 | \"identifier\": \"0000-0003-2507-8747\", \"name\": \"Hari\"}, | ||
20 | {\"affiliation\": \"Ecosystems and Landscape Evolution, Dep. of | 20 | {\"affiliation\": \"Ecosystems and Landscape Evolution, Dep. of | ||
21 | Environmental Systems Science, ETH Zurich\", \"affiliation_02\": | 21 | Environmental Systems Science, ETH Zurich\", \"affiliation_02\": | ||
22 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | 22 | \"Swiss Federal Institute for Forest, Snow and Landscape Research WSL | ||
23 | \", \"affiliation_03\": \"\", \"data_credit\": \"publication\", | 23 | \", \"affiliation_03\": \"\", \"data_credit\": \"publication\", | ||
24 | \"email\": \"loic.pellissier@usys.ethz.ch\", \"given_name\": | 24 | \"email\": \"loic.pellissier@usys.ethz.ch\", \"given_name\": | ||
25 | \"Lo\\u00efc\", \"identifier\": \"0000-0002-2289-8259 \", \"name\": | 25 | \"Lo\\u00efc\", \"identifier\": \"0000-0002-2289-8259 \", \"name\": | ||
26 | \"Pellissier\"}, {\"affiliation\": \"Swiss Federal Institute for | 26 | \"Pellissier\"}, {\"affiliation\": \"Swiss Federal Institute for | ||
27 | Forest, Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | 27 | Forest, Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | ||
28 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 28 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
29 | \"validation\", \"curation\", \"software\", \"publication\", | 29 | \"validation\", \"curation\", \"software\", \"publication\", | ||
30 | \"supervision\"], \"email\": \"dirk.karger@wsl.ch\", \"given_name\": | 30 | \"supervision\"], \"email\": \"dirk.karger@wsl.ch\", \"given_name\": | ||
31 | \"Dirk Nikolaus\", \"identifier\": \"0000-0001-7770-6229\", \"name\": | 31 | \"Dirk Nikolaus\", \"identifier\": \"0000-0001-7770-6229\", \"name\": | ||
32 | \"Karger\"}]", | 32 | \"Karger\"}]", | ||
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35 | "date": "[{\"date\": \"2022-06-13\", \"date_type\": \"created\", | 35 | "date": "[{\"date\": \"2022-06-13\", \"date_type\": \"created\", | ||
36 | \"end_date\": \"\"}]", | 36 | \"end_date\": \"\"}]", | ||
37 | "doi": "10.16904/envidat.332", | 37 | "doi": "10.16904/envidat.332", | ||
38 | "funding": "[{\"grant_number\": \"FeedBaCks\", \"institution\": | 38 | "funding": "[{\"grant_number\": \"FeedBaCks\", \"institution\": | ||
39 | \"BiodivERsA\", \"institution_url\": | 39 | \"BiodivERsA\", \"institution_url\": | ||
40 | \"https://www.biodiversa.org/1886/download\"}, {\"grant_number\": | 40 | \"https://www.biodiversa.org/1886/download\"}, {\"grant_number\": | ||
41 | \"193907\", \"institution\": \"Swiss National Science Foundation\", | 41 | \"193907\", \"institution\": \"Swiss National Science Foundation\", | ||
42 | \"institution_url\": \"https://p3.snf.ch/project-193907\"}, | 42 | \"institution_url\": \"https://p3.snf.ch/project-193907\"}, | ||
43 | {\"grant_number\": \"Futureweb\", \"institution\": \"BiodivERsA\", | 43 | {\"grant_number\": \"Futureweb\", \"institution\": \"BiodivERsA\", | ||
44 | \"institution_url\": \"https://www.biodiversa.org/1630/download\"}, | 44 | \"institution_url\": \"https://www.biodiversa.org/1630/download\"}, | ||
45 | {\"grant_number\": \"20BD21_184131\", \"institution\": \"Swiss | 45 | {\"grant_number\": \"20BD21_184131\", \"institution\": \"Swiss | ||
46 | National Science Foundation\", \"institution_url\": | 46 | National Science Foundation\", \"institution_url\": | ||
47 | \"https://p3.snf.ch/project-184131\"}, {\"grant_number\": \"ClimEx\", | 47 | \"https://p3.snf.ch/project-184131\"}, {\"grant_number\": \"ClimEx\", | ||
48 | \"institution\": \"WSL\", \"institution_url\": | 48 | \"institution\": \"WSL\", \"institution_url\": | ||
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52 | "isopen": true, | 52 | "isopen": true, | ||
53 | "language": "en", | 53 | "language": "en", | ||
54 | "license_id": "CC0-1.0", | 54 | "license_id": "CC0-1.0", | ||
55 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 55 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
56 | 1.0)", | 56 | 1.0)", | ||
57 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 57 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
58 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | 58 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | ||
59 | Forest, Snow and Landscape Research WSL \", \"email\": | 59 | Forest, Snow and Landscape Research WSL \", \"email\": | ||
60 | \"philipp.brun@wsl.ch\", \"given_name\": \"Philipp\", \"identifier\": | 60 | \"philipp.brun@wsl.ch\", \"given_name\": \"Philipp\", \"identifier\": | ||
61 | \"0000-0002-2750-9793\", \"name\": \"Brun\"}", | 61 | \"0000-0002-2750-9793\", \"name\": \"Brun\"}", | ||
62 | "maintainer_email": null, | 62 | "maintainer_email": null, | ||
63 | "metadata_created": "2022-06-13T09:54:11.930237", | 63 | "metadata_created": "2022-06-13T09:54:11.930237", | ||
n | 64 | "metadata_modified": "2022-06-13T13:24:31.465231", | n | 64 | "metadata_modified": "2022-06-13T13:51:24.845475", |
65 | "name": "bioclim_plus", | 65 | "name": "bioclim_plus", | ||
66 | "notes": "A multitude of physical and biological processes on which | 66 | "notes": "A multitude of physical and biological processes on which | ||
67 | ecosystems and human societies depend are governed by climatic | 67 | ecosystems and human societies depend are governed by climatic | ||
68 | conditions. Understanding how these processes are altered by climate | 68 | conditions. Understanding how these processes are altered by climate | ||
69 | change is central to mitigation efforts. Based on mechanistically | 69 | change is central to mitigation efforts. Based on mechanistically | ||
70 | downscaled climate data, we developed a set of climate-related | 70 | downscaled climate data, we developed a set of climate-related | ||
71 | variables at yet unprecedented spatiotemporal detail as a basis for | 71 | variables at yet unprecedented spatiotemporal detail as a basis for | ||
72 | environmental and ecological analyses. We created gridded data for | 72 | environmental and ecological analyses. We created gridded data for | ||
73 | near-surface relative humidity (hurs), cloud area fraction (clt), | 73 | near-surface relative humidity (hurs), cloud area fraction (clt), | ||
74 | near-surface wind speed (sfcWind), vapour pressure deficit (vpd), | 74 | near-surface wind speed (sfcWind), vapour pressure deficit (vpd), | ||
75 | surface downwelling shortwave radiation (rsds), potential | 75 | surface downwelling shortwave radiation (rsds), potential | ||
76 | evapotranspiration (pet), climate moisture index (cmi), and site water | 76 | evapotranspiration (pet), climate moisture index (cmi), and site water | ||
77 | balance (swb), at a monthly temporal and 30 arcsec spatial resolution | 77 | balance (swb), at a monthly temporal and 30 arcsec spatial resolution | ||
78 | globally starting 1980 until 2018. At the same spatial resolution, we | 78 | globally starting 1980 until 2018. At the same spatial resolution, we | ||
79 | further estimated climatological normals of frost change frequency | 79 | further estimated climatological normals of frost change frequency | ||
80 | (fcf), snow cover days (scd), potential net primary productivity | 80 | (fcf), snow cover days (scd), potential net primary productivity | ||
81 | (npp), growing degree days (gdd), and growing season characteristics | 81 | (npp), growing degree days (gdd), and growing season characteristics | ||
82 | for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, | 82 | for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, | ||
83 | considering three shared socioeconomic pathways (SSP126, SSP370, | 83 | considering three shared socioeconomic pathways (SSP126, SSP370, | ||
84 | SSP585) and five Earth system models. Time-series variables showed | 84 | SSP585) and five Earth system models. Time-series variables showed | ||
85 | high accuracy when validated against observations from meteorological | 85 | high accuracy when validated against observations from meteorological | ||
86 | stations. Climatological normals were also highly correlated to | 86 | stations. Climatological normals were also highly correlated to | ||
87 | observations although some variables showed notable biases, e.g., snow | 87 | observations although some variables showed notable biases, e.g., snow | ||
88 | cover days (scd). Together, the data sets presented here allow | 88 | cover days (scd). Together, the data sets presented here allow | ||
89 | improving our understanding of patterns and processes that are | 89 | improving our understanding of patterns and processes that are | ||
90 | governed by climate, including the impact of recent and future climate | 90 | governed by climate, including the impact of recent and future climate | ||
91 | changes on the world\u2019s ecosystems and associated services to | 91 | changes on the world\u2019s ecosystems and associated services to | ||
92 | societies.", | 92 | societies.", | ||
93 | "num_resources": 2, | 93 | "num_resources": 2, | ||
94 | "num_tags": 7, | 94 | "num_tags": 7, | ||
95 | "organization": { | 95 | "organization": { | ||
96 | "approval_status": "approved", | 96 | "approval_status": "approved", | ||
97 | "created": "2018-05-31T14:24:18.890912", | 97 | "created": "2018-05-31T14:24:18.890912", | ||
98 | "description": "The dynamic macroecology group studies different | 98 | "description": "The dynamic macroecology group studies different | ||
99 | aspects of ecology on large spatial and temporal scales, from the | 99 | aspects of ecology on large spatial and temporal scales, from the | ||
100 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 100 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
101 | species and their traits change in space and time, particularly with | 101 | species and their traits change in space and time, particularly with | ||
102 | global change?\u201d", | 102 | global change?\u201d", | ||
103 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 103 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
104 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 104 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
105 | "is_organization": true, | 105 | "is_organization": true, | ||
106 | "name": "dynamic-macroecology", | 106 | "name": "dynamic-macroecology", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "title": "Dynamic Macroecology", | 108 | "title": "Dynamic Macroecology", | ||
109 | "type": "organization" | 109 | "type": "organization" | ||
110 | }, | 110 | }, | ||
111 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 111 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
112 | "private": false, | 112 | "private": false, | ||
113 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 113 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
114 | \"EnviDat\"}", | 114 | \"EnviDat\"}", | ||
t | 115 | "publication_state": "approved", | t | 115 | "publication_state": "published", |
116 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | 116 | "related_datasets": "Dirk Nikolaus Karger; Olaf Conrad; J\u00fcrgen | ||
117 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | 117 | B\u00f6hner; Tobias Kawohl; Holger Kreft; Rodrigo Wilber Soria-Auza; | ||
118 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2021). | 118 | Niklaus E. Zimmermann; H. Peter Linder; Michael Kessler (2021). | ||
119 | Climatologies at high resolution for the earth\u2019s land surface | 119 | Climatologies at high resolution for the earth\u2019s land surface | ||
120 | areas. EnviDat. doi: 10.16904/envidat.228\r\nDirk Nikolaus Karger; | 120 | areas. EnviDat. doi: 10.16904/envidat.228\r\nDirk Nikolaus Karger; | ||
121 | Niklaus E. Zimmermann (2018). CHELSAcruts - High resolution | 121 | Niklaus E. Zimmermann (2018). CHELSAcruts - High resolution | ||
122 | temperature and precipitation timeseries for the 20th century and | 122 | temperature and precipitation timeseries for the 20th century and | ||
123 | beyond. EnviDat. doi: 10.16904/envidat.159\r\nDirk Nikolaus Karger; | 123 | beyond. EnviDat. doi: 10.16904/envidat.159\r\nDirk Nikolaus Karger; | ||
124 | Dirk Schmatz; Gabriel Dettling; Niklaus E. Zimmermann (2019). High | 124 | Dirk Schmatz; Gabriel Dettling; Niklaus E. Zimmermann (2019). High | ||
125 | resolution monthly precipitation and temperature timeseries for the | 125 | resolution monthly precipitation and temperature timeseries for the | ||
126 | period 2006-2100. EnviDat. doi: 10.16904/envidat.124\r\nDirk Nikolaus | 126 | period 2006-2100. EnviDat. doi: 10.16904/envidat.124\r\nDirk Nikolaus | ||
127 | Karger; Michael P. Nobis; Signe Normand; Catherine H. Graham; Niklaus | 127 | Karger; Michael P. Nobis; Signe Normand; Catherine H. Graham; Niklaus | ||
128 | E. Zimmermann (2020). CHELSA-TraCE21k: Downscaled transient | 128 | E. Zimmermann (2020). CHELSA-TraCE21k: Downscaled transient | ||
129 | temperature and precipitation data since the last glacial maximum. | 129 | temperature and precipitation data since the last glacial maximum. | ||
130 | EnviDat. doi: 10.16904/envidat.211\r\nDirk Nikolaus Karger; Babek | 130 | EnviDat. doi: 10.16904/envidat.211\r\nDirk Nikolaus Karger; Babek | ||
131 | Dabaghchian; Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; | 131 | Dabaghchian; Stefan Lange; Wilfried Thuiller; Niklaus E. Zimmermann; | ||
132 | Catherine H. Graham (2020). High resolution climate data for Europe. | 132 | Catherine H. Graham (2020). High resolution climate data for Europe. | ||
133 | EnviDat. doi: 10.16904/envidat.150", | 133 | EnviDat. doi: 10.16904/envidat.150", | ||
134 | "related_publications": "Philipp Brun, Niklaus E. Zimmermann, | 134 | "related_publications": "Philipp Brun, Niklaus E. Zimmermann, | ||
135 | Chantal Hari, Lo\u00efc Pellissier, Dirk Nikolaus Karger (submitted) A | 135 | Chantal Hari, Lo\u00efc Pellissier, Dirk Nikolaus Karger (submitted) A | ||
136 | novel set of global climate-related predictors at | 136 | novel set of global climate-related predictors at | ||
137 | kilometre-resolution, Earth System Science Data.", | 137 | kilometre-resolution, Earth System Science Data.", | ||
138 | "relationships_as_object": [], | 138 | "relationships_as_object": [], | ||
139 | "relationships_as_subject": [], | 139 | "relationships_as_subject": [], | ||
140 | "resource_type": "dataset", | 140 | "resource_type": "dataset", | ||
141 | "resource_type_general": "dataset", | 141 | "resource_type_general": "dataset", | ||
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146 | "created": "2022-06-13T12:18:26.884167", | 146 | "created": "2022-06-13T12:18:26.884167", | ||
147 | "description": "Global extented set of bioclimatic variables at | 147 | "description": "Global extented set of bioclimatic variables at | ||
148 | different temporal (e.g. monthly, annual, long term normals) | 148 | different temporal (e.g. monthly, annual, long term normals) | ||
149 | resolution in Geotiff format.", | 149 | resolution in Geotiff format.", | ||
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215 | }, | 215 | }, | ||
216 | { | 216 | { | ||
217 | "display_name": "GROWING SEASON LENGTH", | 217 | "display_name": "GROWING SEASON LENGTH", | ||
218 | "id": "9fa56e76-d7a5-4161-85b5-a43dd0ab20a6", | 218 | "id": "9fa56e76-d7a5-4161-85b5-a43dd0ab20a6", | ||
219 | "name": "GROWING SEASON LENGTH", | 219 | "name": "GROWING SEASON LENGTH", | ||
220 | "state": "active", | 220 | "state": "active", | ||
221 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
222 | }, | 222 | }, | ||
223 | { | 223 | { | ||
224 | "display_name": "PRECIPITATION", | 224 | "display_name": "PRECIPITATION", | ||
225 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | 225 | "id": "dba7b369-a028-4ce3-805f-ecbefe796885", | ||
226 | "name": "PRECIPITATION", | 226 | "name": "PRECIPITATION", | ||
227 | "state": "active", | 227 | "state": "active", | ||
228 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
229 | }, | 229 | }, | ||
230 | { | 230 | { | ||
231 | "display_name": "RELATIVE HUMIDITY", | 231 | "display_name": "RELATIVE HUMIDITY", | ||
232 | "id": "d90189bb-d066-4183-a1de-8cdf50c28f67", | 232 | "id": "d90189bb-d066-4183-a1de-8cdf50c28f67", | ||
233 | "name": "RELATIVE HUMIDITY", | 233 | "name": "RELATIVE HUMIDITY", | ||
234 | "state": "active", | 234 | "state": "active", | ||
235 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
236 | }, | 236 | }, | ||
237 | { | 237 | { | ||
238 | "display_name": "SOIL WATER BALANCE", | 238 | "display_name": "SOIL WATER BALANCE", | ||
239 | "id": "98f003a8-a6a6-4ae4-b579-bfdc597e8cae", | 239 | "id": "98f003a8-a6a6-4ae4-b579-bfdc597e8cae", | ||
240 | "name": "SOIL WATER BALANCE", | 240 | "name": "SOIL WATER BALANCE", | ||
241 | "state": "active", | 241 | "state": "active", | ||
242 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
243 | }, | 243 | }, | ||
244 | { | 244 | { | ||
245 | "display_name": "SOLAR RADIATION", | 245 | "display_name": "SOLAR RADIATION", | ||
246 | "id": "8ef9fa27-7ad7-407f-9443-ba9bc022d38d", | 246 | "id": "8ef9fa27-7ad7-407f-9443-ba9bc022d38d", | ||
247 | "name": "SOLAR RADIATION", | 247 | "name": "SOLAR RADIATION", | ||
248 | "state": "active", | 248 | "state": "active", | ||
249 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
250 | }, | 250 | }, | ||
251 | { | 251 | { | ||
252 | "display_name": "TEMPERATURE", | 252 | "display_name": "TEMPERATURE", | ||
253 | "id": "bbdcfdc8-2700-4889-a062-c30bff494244", | 253 | "id": "bbdcfdc8-2700-4889-a062-c30bff494244", | ||
254 | "name": "TEMPERATURE", | 254 | "name": "TEMPERATURE", | ||
255 | "state": "active", | 255 | "state": "active", | ||
256 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
257 | } | 257 | } | ||
258 | ], | 258 | ], | ||
259 | "title": "CHELSA-BIOCLIM+ A novel set of global climate-related | 259 | "title": "CHELSA-BIOCLIM+ A novel set of global climate-related | ||
260 | predictors at kilometre-resolution", | 260 | predictors at kilometre-resolution", | ||
261 | "type": "dataset", | 261 | "type": "dataset", | ||
262 | "url": null, | 262 | "url": null, | ||
263 | "version": "1.0" | 263 | "version": "1.0" | ||
264 | } | 264 | } |