Changes
On September 7, 2022 at 4:33:56 PM UTC,
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Updated description of Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity from
This dataset comprises a large array of ecological data for the European Alps: (1) Current soil and climate predictors at various resolutions. (2) GBIF observations of the European Alps Flora (~4,000 species). (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km) at various resolutions used in the study to generate (4); except 'expert'... (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models. (5) Ecological and altitudinal preferences of the European Alps Flora. (6) Data outputs of the related published article. (7) All scripts used for analyses. (8) Additional files used for analyses. (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.
toThis dataset comprises a large array of ecological data for the European Alps: (1) Current soil and climate predictors at various resolutions. (2) GBIF observations of the European Alps Flora (~4,000 species). (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km) at various resolutions used in the study to generate (4); except 'expert'... (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models. (5) Ecological and altitudinal preferences of the European Alps Flora. (6) Data outputs of the related published article. (7) All scripts used for analyses. (8) Additional files used for analyses. (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.
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 | Unit of Land Change Science\", | 3 | Snow and Landscape Research WSL | Unit of Land Change Science\", | ||
4 | \"affiliation_02\": \"ETH - Swiss Federal Institute of Technology in | 4 | \"affiliation_02\": \"ETH - Swiss Federal Institute of Technology in | ||
5 | Z\\u00fcrich\", \"affiliation_03\": \"\", \"email\": | 5 | Z\\u00fcrich\", \"affiliation_03\": \"\", \"email\": | ||
6 | \"yohann.chauvier@wsl.ch\", \"given_name\": \"Yohann\", | 6 | \"yohann.chauvier@wsl.ch\", \"given_name\": \"Yohann\", | ||
7 | \"identifier\": \"0000-0001-9399-3192 \", \"name\": \"Chauvier\"}, | 7 | \"identifier\": \"0000-0001-9399-3192 \", \"name\": \"Chauvier\"}, | ||
8 | {\"affiliation\": \"ETHZ | Department of Environmental Systems Science | 8 | {\"affiliation\": \"ETHZ | Department of Environmental Systems Science | ||
9 | | Institute of Terrestrial Ecosystems | Landscape Ecology\", | 9 | | Institute of Terrestrial Ecosystems | Landscape Ecology\", | ||
10 | \"affiliation_02\": \"Swiss Federal Institute for Forest, Snow and | 10 | \"affiliation_02\": \"Swiss Federal Institute for Forest, Snow and | ||
11 | Landscape Research WSL | Unit of Land Change Science\", | 11 | Landscape Research WSL | Unit of Land Change Science\", | ||
12 | \"affiliation_03\": \"\", \"email\": \"patrice.descombes@wsl.ch\", | 12 | \"affiliation_03\": \"\", \"email\": \"patrice.descombes@wsl.ch\", | ||
13 | \"given_name\": \"Patrice\", \"identifier\": \"0000-0002-3760-9907\", | 13 | \"given_name\": \"Patrice\", \"identifier\": \"0000-0002-3760-9907\", | ||
14 | \"name\": \"Descombes\"}, {\"affiliation\": \"Univ. Grenoble Alpes, | 14 | \"name\": \"Descombes\"}, {\"affiliation\": \"Univ. Grenoble Alpes, | ||
15 | Univ. Savoie Mont Blanc\", \"affiliation_02\": \"CNRS, LECA, | 15 | Univ. Savoie Mont Blanc\", \"affiliation_02\": \"CNRS, LECA, | ||
16 | Laboratoire d\\u2019Ecologie Alpine\", \"affiliation_03\": \"\", | 16 | Laboratoire d\\u2019Ecologie Alpine\", \"affiliation_03\": \"\", | ||
17 | \"email\": \"maya.gueguen@univ-grenoble-alpes.fr\", \"given_name\": | 17 | \"email\": \"maya.gueguen@univ-grenoble-alpes.fr\", \"given_name\": | ||
18 | \"Maya\", \"identifier\": \"\", \"name\": \"Gu\\u00e9guen\"}, | 18 | \"Maya\", \"identifier\": \"\", \"name\": \"Gu\\u00e9guen\"}, | ||
19 | {\"affiliation\": \"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc\", | 19 | {\"affiliation\": \"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc\", | ||
20 | \"affiliation_02\": \"CNRS, LECA, Laboratoire d\\u2019Ecologie | 20 | \"affiliation_02\": \"CNRS, LECA, Laboratoire d\\u2019Ecologie | ||
21 | Alpine\", \"affiliation_03\": \"\", \"email\": | 21 | Alpine\", \"affiliation_03\": \"\", \"email\": | ||
22 | \"louise.boulangeat@univ-grenoble-alpes.fr\", \"given_name\": | 22 | \"louise.boulangeat@univ-grenoble-alpes.fr\", \"given_name\": | ||
23 | \"Louise\", \"identifier\": \"\", \"name\": \"Boulangeat\"}, | 23 | \"Louise\", \"identifier\": \"\", \"name\": \"Boulangeat\"}, | ||
24 | {\"affiliation\": \"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc\", | 24 | {\"affiliation\": \"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc\", | ||
25 | \"affiliation_02\": \"CNRS, LECA, Laboratoire d\\u2019Ecologie | 25 | \"affiliation_02\": \"CNRS, LECA, Laboratoire d\\u2019Ecologie | ||
26 | Alpine\", \"affiliation_03\": \"\", \"email\": | 26 | Alpine\", \"affiliation_03\": \"\", \"email\": | ||
27 | \"wilfried.thuiller@univ-grenoble-alpes.fr\", \"given_name\": | 27 | \"wilfried.thuiller@univ-grenoble-alpes.fr\", \"given_name\": | ||
28 | \"Wilfried\", \"identifier\": | 28 | \"Wilfried\", \"identifier\": | ||
29 | \"https://orcid.org/0000-0002-5388-5274\", \"name\": \"Thuiller\"}, | 29 | \"https://orcid.org/0000-0002-5388-5274\", \"name\": \"Thuiller\"}, | ||
30 | {\"affiliation\": \"Swiss Federal Institute for Forest, Snow and | 30 | {\"affiliation\": \"Swiss Federal Institute for Forest, Snow and | ||
31 | Landscape Research WSL\", \"affiliation_02\": \"Dep. of Environmental | 31 | Landscape Research WSL\", \"affiliation_02\": \"Dep. of Environmental | ||
32 | Systems Science, ETH Zurich\", \"affiliation_03\": \"\", \"email\": | 32 | Systems Science, ETH Zurich\", \"affiliation_03\": \"\", \"email\": | ||
33 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | 33 | \"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", | ||
34 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}]", | 34 | \"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}]", | ||
35 | "author_email": null, | 35 | "author_email": null, | ||
36 | "creator_user_id": "e2620cc0-c9ef-4773-889b-4c39c0bbb3c8", | 36 | "creator_user_id": "e2620cc0-c9ef-4773-889b-4c39c0bbb3c8", | ||
37 | "date": "[{\"date\": \"2022-06-22\", \"date_type\": \"created\", | 37 | "date": "[{\"date\": \"2022-06-22\", \"date_type\": \"created\", | ||
38 | \"end_date\": \"2022-06-22\"}]", | 38 | \"end_date\": \"2022-06-22\"}]", | ||
39 | "doi": "10.16904/envidat.334", | 39 | "doi": "10.16904/envidat.334", | ||
40 | "funding": "[{\"grant_number\": \"ANR-16-CE93-004\", | 40 | "funding": "[{\"grant_number\": \"ANR-16-CE93-004\", | ||
41 | \"institution\": \"ANR\", \"institution_url\": | 41 | \"institution\": \"ANR\", \"institution_url\": | ||
42 | \"https://anr.fr/Projet-ANR-16-CE93-0004\"}, {\"grant_number\": | 42 | \"https://anr.fr/Projet-ANR-16-CE93-0004\"}, {\"grant_number\": | ||
43 | \"ANR-15-IDEX-02\", \"institution\": \"ANR\", \"institution_url\": | 43 | \"ANR-15-IDEX-02\", \"institution\": \"ANR\", \"institution_url\": | ||
44 | \"https://anr.fr/ProjetIA-15-IDEX-0002\"}, {\"grant_number\": | 44 | \"https://anr.fr/ProjetIA-15-IDEX-0002\"}, {\"grant_number\": | ||
45 | \"ANR-10-LAB-56\", \"institution\": \"ANR\", \"institution_url\": | 45 | \"ANR-10-LAB-56\", \"institution\": \"ANR\", \"institution_url\": | ||
46 | \"\"}, {\"grant_number\": \"310030L_170059\", \"institution\": | 46 | \"\"}, {\"grant_number\": \"310030L_170059\", \"institution\": | ||
47 | \"SNF\", \"institution_url\": \"https://p3.snf.ch/Project-170059\"}]", | 47 | \"SNF\", \"institution_url\": \"https://p3.snf.ch/Project-170059\"}]", | ||
48 | "groups": [], | 48 | "groups": [], | ||
49 | "id": "e7df02d7-a2b1-4ecf-b058-7b21dbb73b9e", | 49 | "id": "e7df02d7-a2b1-4ecf-b058-7b21dbb73b9e", | ||
50 | "isopen": true, | 50 | "isopen": true, | ||
51 | "language": "en", | 51 | "language": "en", | ||
52 | "license_id": "cc-by-sa", | 52 | "license_id": "cc-by-sa", | ||
53 | "license_title": "Creative Commons Attribution Share-Alike | 53 | "license_title": "Creative Commons Attribution Share-Alike | ||
54 | (CC-BY-SA)", | 54 | (CC-BY-SA)", | ||
55 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 55 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
56 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | 56 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | ||
57 | Forest, Snow and Landscape Research WSL | Unit of Land Change | 57 | Forest, Snow and Landscape Research WSL | Unit of Land Change | ||
58 | Science\", \"email\": \"yohann.chauvier@wsl.ch\", \"given_name\": | 58 | Science\", \"email\": \"yohann.chauvier@wsl.ch\", \"given_name\": | ||
59 | \"Yohann\", \"identifier\": \"0000-0001-9399-3192 \", \"name\": | 59 | \"Yohann\", \"identifier\": \"0000-0001-9399-3192 \", \"name\": | ||
60 | \"Chauvier\"}", | 60 | \"Chauvier\"}", | ||
61 | "maintainer_email": null, | 61 | "maintainer_email": null, | ||
62 | "metadata_created": "2022-06-22T11:22:56.883603", | 62 | "metadata_created": "2022-06-22T11:22:56.883603", | ||
n | 63 | "metadata_modified": "2022-09-07T16:33:03.743245", | n | 63 | "metadata_modified": "2022-09-07T16:33:56.196390", |
64 | "name": "resolution-in-sdms-shapes-plant-multifaceted-diversity", | 64 | "name": "resolution-in-sdms-shapes-plant-multifaceted-diversity", | ||
65 | "notes": "This dataset comprises a large array of ecological data | 65 | "notes": "This dataset comprises a large array of ecological data | ||
66 | for the European Alps:\r\n\r\n (1) Current soil and climate | 66 | for the European Alps:\r\n\r\n (1) Current soil and climate | ||
67 | predictors at various resolutions.\r\n (2) GBIF observations of the | 67 | predictors at various resolutions.\r\n (2) GBIF observations of the | ||
68 | European Alps Flora (~4,000 species).\r\n (3) Species habitat | 68 | European Alps Flora (~4,000 species).\r\n (3) Species habitat | ||
69 | suitability maps (1,109 species; based on species observations | 69 | suitability maps (1,109 species; based on species observations | ||
70 | filtered at 40x40-km) at\r\n various resolutions used in the study | 70 | filtered at 40x40-km) at\r\n various resolutions used in the study | ||
71 | to generate (4); except 'expert'...\r\n (4) Expert, Taxonomic, | 71 | to generate (4); except 'expert'...\r\n (4) Expert, Taxonomic, | ||
72 | phylogenetic and functional diversity of the study region at various | 72 | phylogenetic and functional diversity of the study region at various | ||
73 | resolutions (from\r\n 100-m to 40-km --> 100-m aggregated & mean to | 73 | resolutions (from\r\n 100-m to 40-km --> 100-m aggregated & mean to | ||
t | 74 | km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL | t | 74 | km + non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL\r\n |
75 | models.\r\n (5) Ecological and altitudinal preferences of the | 75 | models.\r\n (5) Ecological and altitudinal preferences of the | ||
76 | European Alps Flora.\r\n (6) Data outputs of the related published | 76 | European Alps Flora.\r\n (6) Data outputs of the related published | ||
77 | article.\r\n (7) All scripts used for analyses.\r\n (8) | 77 | article.\r\n (7) All scripts used for analyses.\r\n (8) | ||
78 | Additional files used for analyses.\r\n (9) Improved set of species | 78 | Additional files used for analyses.\r\n (9) Improved set of species | ||
79 | habitat suitability maps (~2,600 species; based on species | 79 | habitat suitability maps (~2,600 species; based on species | ||
80 | observations filtered at 1x1-km) and related taxonomic diversity at | 80 | observations filtered at 1x1-km) and related taxonomic diversity at | ||
81 | 100-m resolution (aggregated to km + non-aggregated/predicted) for\r\n | 81 | 100-m resolution (aggregated to km + non-aggregated/predicted) for\r\n | ||
82 | CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the | 82 | CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the | ||
83 | study.\r\n", | 83 | study.\r\n", | ||
84 | "num_resources": 1, | 84 | "num_resources": 1, | ||
85 | "num_tags": 7, | 85 | "num_tags": 7, | ||
86 | "organization": { | 86 | "organization": { | ||
87 | "approval_status": "approved", | 87 | "approval_status": "approved", | ||
88 | "created": "2018-05-31T14:24:18.890912", | 88 | "created": "2018-05-31T14:24:18.890912", | ||
89 | "description": "The dynamic macroecology group studies different | 89 | "description": "The dynamic macroecology group studies different | ||
90 | aspects of ecology on large spatial and temporal scales, from the | 90 | aspects of ecology on large spatial and temporal scales, from the | ||
91 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | 91 | Pleistocene to the Anthropocene, related to the question: \u201cHow do | ||
92 | species and their traits change in space and time, particularly with | 92 | species and their traits change in space and time, particularly with | ||
93 | global change?\u201d", | 93 | global change?\u201d", | ||
94 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 94 | "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
95 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | 95 | "image_url": "2018-07-10-102727.341687LogoWSL.svg", | ||
96 | "is_organization": true, | 96 | "is_organization": true, | ||
97 | "name": "dynamic-macroecology", | 97 | "name": "dynamic-macroecology", | ||
98 | "state": "active", | 98 | "state": "active", | ||
99 | "title": "Dynamic Macroecology", | 99 | "title": "Dynamic Macroecology", | ||
100 | "type": "organization" | 100 | "type": "organization" | ||
101 | }, | 101 | }, | ||
102 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | 102 | "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02", | ||
103 | "private": false, | 103 | "private": false, | ||
104 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 104 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
105 | \"EnviDat\"}", | 105 | \"EnviDat\"}", | ||
106 | "publication_state": "published", | 106 | "publication_state": "published", | ||
107 | "related_datasets": "CHELSA (https://chelsa-climate.org; Karger at | 107 | "related_datasets": "CHELSA (https://chelsa-climate.org; Karger at | ||
108 | al. 2017), Flora Alpina (Aeschimann et al. 2004)", | 108 | al. 2017), Flora Alpina (Aeschimann et al. 2004)", | ||
109 | "related_publications": "Karger, D. N., Conrad, O., B\u00f6hner, J., | 109 | "related_publications": "Karger, D. N., Conrad, O., B\u00f6hner, J., | ||
110 | Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). | 110 | Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). | ||
111 | Climatologies at high resolution for the earth\u2019s land surface | 111 | Climatologies at high resolution for the earth\u2019s land surface | ||
112 | areas. Scientific data, 4(1), 1-20\r\n\r\nDescombes, P., Walthert, L., | 112 | areas. Scientific data, 4(1), 1-20\r\n\r\nDescombes, P., Walthert, L., | ||
113 | Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., ... & | 113 | Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., ... & | ||
114 | Zimmermann, N. E. (2020). Spatial modelling of ecological indicator | 114 | Zimmermann, N. E. (2020). Spatial modelling of ecological indicator | ||
115 | values improves predictions of plant distributions in complex | 115 | values improves predictions of plant distributions in complex | ||
116 | landscapes. Ecography, 43(10), 1448-1463.\r\n\r\nD. Aeschimann , K. | 116 | landscapes. Ecography, 43(10), 1448-1463.\r\n\r\nD. Aeschimann , K. | ||
117 | Lauber , D. M. Moser & J.-P. Theurillat ( 2004). Flora alpina. Haupt, | 117 | Lauber , D. M. Moser & J.-P. Theurillat ( 2004). Flora alpina. Haupt, | ||
118 | Belin & Zanichelli.", | 118 | Belin & Zanichelli.", | ||
119 | "relationships_as_object": [], | 119 | "relationships_as_object": [], | ||
120 | "relationships_as_subject": [], | 120 | "relationships_as_subject": [], | ||
121 | "resource_type": "dataset", | 121 | "resource_type": "dataset", | ||
122 | "resource_type_general": "dataset", | 122 | "resource_type_general": "dataset", | ||
123 | "resources": [ | 123 | "resources": [ | ||
124 | { | 124 | { | ||
125 | "cache_last_updated": null, | 125 | "cache_last_updated": null, | ||
126 | "cache_url": null, | 126 | "cache_url": null, | ||
127 | "created": "2022-06-23T10:33:48.400286", | 127 | "created": "2022-06-23T10:33:48.400286", | ||
128 | "description": "", | 128 | "description": "", | ||
129 | "doi": "", | 129 | "doi": "", | ||
130 | "format": "ZIP", | 130 | "format": "ZIP", | ||
131 | "hash": "", | 131 | "hash": "", | ||
132 | "id": "7d3a2ff1-1534-4faa-87ba-81f1eb9c7851", | 132 | "id": "7d3a2ff1-1534-4faa-87ba-81f1eb9c7851", | ||
133 | "last_modified": null, | 133 | "last_modified": null, | ||
134 | "metadata_modified": "2022-06-28T04:53:48.321194", | 134 | "metadata_modified": "2022-06-28T04:53:48.321194", | ||
135 | "mimetype": null, | 135 | "mimetype": null, | ||
136 | "mimetype_inner": null, | 136 | "mimetype_inner": null, | ||
137 | "name": "Data access", | 137 | "name": "Data access", | ||
138 | "package_id": "e7df02d7-a2b1-4ecf-b058-7b21dbb73b9e", | 138 | "package_id": "e7df02d7-a2b1-4ecf-b058-7b21dbb73b9e", | ||
139 | "position": 0, | 139 | "position": 0, | ||
140 | "publication_state": "", | 140 | "publication_state": "", | ||
141 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | 141 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | ||
142 | \"50\"}", | 142 | \"50\"}", | ||
143 | "resource_type": null, | 143 | "resource_type": null, | ||
144 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 144 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
145 | \"shared_secret\": \"\"}", | 145 | \"shared_secret\": \"\"}", | ||
146 | "size": 60301432, | 146 | "size": 60301432, | ||
147 | "state": "active", | 147 | "state": "active", | ||
148 | "url": "https://envicloud.wsl.ch/#/?prefix=doi/envidat.334", | 148 | "url": "https://envicloud.wsl.ch/#/?prefix=doi/envidat.334", | ||
149 | "url_type": "" | 149 | "url_type": "" | ||
150 | } | 150 | } | ||
151 | ], | 151 | ], | ||
152 | "spatial": | 152 | "spatial": | ||
153 | .55615234375,42.94516446177625],[4.85595703125,42.94516446177625]]]}", | 153 | .55615234375,42.94516446177625],[4.85595703125,42.94516446177625]]]}", | ||
154 | "spatial_info": "European Alps", | 154 | "spatial_info": "European Alps", | ||
155 | "state": "active", | 155 | "state": "active", | ||
156 | "subtitle": "", | 156 | "subtitle": "", | ||
157 | "tags": [ | 157 | "tags": [ | ||
158 | { | 158 | { | ||
159 | "display_name": "CLIMATE", | 159 | "display_name": "CLIMATE", | ||
160 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | 160 | "id": "5a33b7dc-dca1-42c3-8651-9d00b5428823", | ||
161 | "name": "CLIMATE", | 161 | "name": "CLIMATE", | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
164 | }, | 164 | }, | ||
165 | { | 165 | { | ||
166 | "display_name": "ECOLOGICAL INDICATOR VALUES", | 166 | "display_name": "ECOLOGICAL INDICATOR VALUES", | ||
167 | "id": "4a48d3ed-bed0-4d37-9f68-158ac668f129", | 167 | "id": "4a48d3ed-bed0-4d37-9f68-158ac668f129", | ||
168 | "name": "ECOLOGICAL INDICATOR VALUES", | 168 | "name": "ECOLOGICAL INDICATOR VALUES", | ||
169 | "state": "active", | 169 | "state": "active", | ||
170 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
171 | }, | 171 | }, | ||
172 | { | 172 | { | ||
173 | "display_name": "FUNCTIONAL DIVERSITY", | 173 | "display_name": "FUNCTIONAL DIVERSITY", | ||
174 | "id": "72e50e64-9d5f-4526-ac99-5b55164c5cda", | 174 | "id": "72e50e64-9d5f-4526-ac99-5b55164c5cda", | ||
175 | "name": "FUNCTIONAL DIVERSITY", | 175 | "name": "FUNCTIONAL DIVERSITY", | ||
176 | "state": "active", | 176 | "state": "active", | ||
177 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
178 | }, | 178 | }, | ||
179 | { | 179 | { | ||
180 | "display_name": "GRAIN SIZE", | 180 | "display_name": "GRAIN SIZE", | ||
181 | "id": "70b86404-de0c-4e74-9a91-f001b2aaaf54", | 181 | "id": "70b86404-de0c-4e74-9a91-f001b2aaaf54", | ||
182 | "name": "GRAIN SIZE", | 182 | "name": "GRAIN SIZE", | ||
183 | "state": "active", | 183 | "state": "active", | ||
184 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
185 | }, | 185 | }, | ||
186 | { | 186 | { | ||
187 | "display_name": "PHYLOGENETIC DIVERSITY", | 187 | "display_name": "PHYLOGENETIC DIVERSITY", | ||
188 | "id": "78a09319-7530-4f04-a81a-cfe722953568", | 188 | "id": "78a09319-7530-4f04-a81a-cfe722953568", | ||
189 | "name": "PHYLOGENETIC DIVERSITY", | 189 | "name": "PHYLOGENETIC DIVERSITY", | ||
190 | "state": "active", | 190 | "state": "active", | ||
191 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
192 | }, | 192 | }, | ||
193 | { | 193 | { | ||
194 | "display_name": "SOIL", | 194 | "display_name": "SOIL", | ||
195 | "id": "024cba10-0afd-4231-b6fc-7657536a5c05", | 195 | "id": "024cba10-0afd-4231-b6fc-7657536a5c05", | ||
196 | "name": "SOIL", | 196 | "name": "SOIL", | ||
197 | "state": "active", | 197 | "state": "active", | ||
198 | "vocabulary_id": null | 198 | "vocabulary_id": null | ||
199 | }, | 199 | }, | ||
200 | { | 200 | { | ||
201 | "display_name": "TAXONOMIC DIVERSITY", | 201 | "display_name": "TAXONOMIC DIVERSITY", | ||
202 | "id": "4824bcd9-4356-4be6-90b3-874695c53df9", | 202 | "id": "4824bcd9-4356-4be6-90b3-874695c53df9", | ||
203 | "name": "TAXONOMIC DIVERSITY", | 203 | "name": "TAXONOMIC DIVERSITY", | ||
204 | "state": "active", | 204 | "state": "active", | ||
205 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
206 | } | 206 | } | ||
207 | ], | 207 | ], | ||
208 | "title": "Resolution in species distribution models shapes spatial | 208 | "title": "Resolution in species distribution models shapes spatial | ||
209 | patterns of plant multifaceted diversity", | 209 | patterns of plant multifaceted diversity", | ||
210 | "type": "dataset", | 210 | "type": "dataset", | ||
211 | "url": null, | 211 | "url": null, | ||
212 | "version": "1.0" | 212 | "version": "1.0" | ||
213 | } | 213 | } |