Changes
On September 15, 2021 at 11:53:49 AM UTC, Alexander Skeels:
-
Added resource GLS script to Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"Swiss Federal Research Institute for | 2 | "author": "[{\"affiliation\": \"Swiss Federal Research Institute for | ||
3 | Forest, Snow and Landscape (WSL)\", \"affiliation_02\": \"ETH | 3 | Forest, Snow and Landscape (WSL)\", \"affiliation_02\": \"ETH | ||
4 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 4 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
5 | \"validation\", \"curation\", \"software\", \"publication\"], | 5 | \"validation\", \"curation\", \"software\", \"publication\"], | ||
6 | \"email\": \"alexander.skeels@usys.ethz.ch\", \"given_name\": | 6 | \"email\": \"alexander.skeels@usys.ethz.ch\", \"given_name\": | ||
7 | \"Alexander\", \"identifier\": \"\", \"name\": \"Skeels\"}, | 7 | \"Alexander\", \"identifier\": \"\", \"name\": \"Skeels\"}, | ||
8 | {\"affiliation\": \"German Centre for Integrative Biodiversity | 8 | {\"affiliation\": \"German Centre for Integrative Biodiversity | ||
9 | Research Halle\\u2013Jena\\u2013Leipzig\", \"affiliation_02\": \"ETH | 9 | Research Halle\\u2013Jena\\u2013Leipzig\", \"affiliation_02\": \"ETH | ||
10 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 10 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
11 | \"validation\", \"curation\", \"software\", \"publication\"], | 11 | \"validation\", \"curation\", \"software\", \"publication\"], | ||
12 | \"email\": \"oskar@hagen.bio\", \"given_name\": \"Oskar\", | 12 | \"email\": \"oskar@hagen.bio\", \"given_name\": \"Oskar\", | ||
13 | \"identifier\": \"0000-0002-7931-6571\", \"name\": \"Hagen\"}, | 13 | \"identifier\": \"0000-0002-7931-6571\", \"name\": \"Hagen\"}, | ||
14 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | 14 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | ||
15 | Research Institute for Forest, Snow and Landscape (WSL)\", | 15 | Research Institute for Forest, Snow and Landscape (WSL)\", | ||
16 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 16 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
17 | \"validation\", \"curation\", \"software\", \"publication\", | 17 | \"validation\", \"curation\", \"software\", \"publication\", | ||
18 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | 18 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | ||
19 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | 19 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | ||
20 | \"Pellissier\"}, {\"affiliation\": \"German Centre for Integrative | 20 | \"Pellissier\"}, {\"affiliation\": \"German Centre for Integrative | ||
21 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | 21 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | ||
22 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 22 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
23 | [\"collection\", \"publication\"], \"email\": | 23 | [\"collection\", \"publication\"], \"email\": | ||
24 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | 24 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | ||
25 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | 25 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | ||
26 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | 26 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | ||
27 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 27 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
28 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | 28 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | ||
29 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | 29 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | ||
30 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}]", | 30 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}]", | ||
31 | "author_email": null, | 31 | "author_email": null, | ||
32 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | 32 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | ||
33 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | 33 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | ||
34 | \"end_date\": \"2021-09-15\"}]", | 34 | \"end_date\": \"2021-09-15\"}]", | ||
35 | "doi": "", | 35 | "doi": "", | ||
36 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | 36 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | ||
37 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | 37 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | ||
38 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | 38 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | ||
39 | "groups": [], | 39 | "groups": [], | ||
40 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 40 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
41 | "isopen": false, | 41 | "isopen": false, | ||
42 | "language": "en", | 42 | "language": "en", | ||
43 | "license_id": "wsl-data", | 43 | "license_id": "wsl-data", | ||
44 | "license_title": "WSL Data Policy", | 44 | "license_title": "WSL Data Policy", | ||
45 | "license_url": | 45 | "license_url": | ||
46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
47 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | 47 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | ||
48 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | 48 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | ||
49 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | 49 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | ||
50 | "maintainer_email": null, | 50 | "maintainer_email": null, | ||
51 | "metadata_created": "2021-09-15T11:44:16.660831", | 51 | "metadata_created": "2021-09-15T11:44:16.660831", | ||
n | 52 | "metadata_modified": "2021-09-15T11:53:25.520029", | n | 52 | "metadata_modified": "2021-09-15T11:53:49.158807", |
53 | "name": "data-from-hagen_etal_pnas", | 53 | "name": "data-from-hagen_etal_pnas", | ||
54 | "notes": "Datasets and R scripts | 54 | "notes": "Datasets and R scripts | ||
55 | \r\n\r\nDatasets\r\n\r\nDataset_S1.csv includes species diversity | 55 | \r\n\r\nDatasets\r\n\r\nDataset_S1.csv includes species diversity | ||
56 | counts for 237 clades in tropical moist forests (TMF) in the | 56 | counts for 237 clades in tropical moist forests (TMF) in the | ||
57 | Neotropics (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | 57 | Neotropics (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | ||
58 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | 58 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | ||
59 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | 59 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | ||
60 | clade is pantropical (Pantropical_clade) and shows the pantropical | 60 | clade is pantropical (Pantropical_clade) and shows the pantropical | ||
61 | diversity disparity (PDD_clade). \r\nDataset_S2.csv: environmental and | 61 | diversity disparity (PDD_clade). \r\nDataset_S2.csv: environmental and | ||
62 | species richness data. Longitude (x), latitude (y), potential | 62 | species richness data. Longitude (x), latitude (y), potential | ||
63 | evapotranspiration (PET), mean annual temperature (MAT), mean annual | 63 | evapotranspiration (PET), mean annual temperature (MAT), mean annual | ||
64 | precipitation), amphibian, bird, mammal, and reptile species richness, | 64 | precipitation), amphibian, bird, mammal, and reptile species richness, | ||
65 | PC1 and PC2 of environmental PCA and the region. Environmental data | 65 | PC1 and PC2 of environmental PCA and the region. Environmental data | ||
66 | (from CHELSA and ENVIREM) and species richness summarised from | 66 | (from CHELSA and ENVIREM) and species richness summarised from | ||
67 | published data (vertLife, MOL, IUCN, GARD).\r\nDataset_S3.csv: - | 67 | published data (vertLife, MOL, IUCN, GARD).\r\nDataset_S3.csv: - | ||
68 | Paleoenvironmental reconstructions (details in the associated SI | 68 | Paleoenvironmental reconstructions (details in the associated SI | ||
69 | appendix) including latitude (y), longitude (x), and temperature data | 69 | appendix) including latitude (y), longitude (x), and temperature data | ||
70 | across 200 myrs at 170 kyr intervals.\r\nDataset_S4.csv: simulation | 70 | across 200 myrs at 170 kyr intervals.\r\nDataset_S4.csv: simulation | ||
71 | model parameters and diversity summary statistics. Including rate of | 71 | model parameters and diversity summary statistics. Including rate of | ||
72 | temperature niche evolution (Tev), temperature niche width (TW), | 72 | temperature niche evolution (Tev), temperature niche width (TW), | ||
73 | divergence threshold (S), Dispersal probability distribution shape | 73 | divergence threshold (S), Dispersal probability distribution shape | ||
74 | (WeibullShape) and information on number of extinct species, number of | 74 | (WeibullShape) and information on number of extinct species, number of | ||
75 | extant species, total species, Spearman correlation coefficient | 75 | extant species, total species, Spearman correlation coefficient | ||
76 | between absolute latitude and species richness | 76 | between absolute latitude and species richness | ||
77 | (latitude_richness_cor), and diversity in the Neotropics, Indomalaya, | 77 | (latitude_richness_cor), and diversity in the Neotropics, Indomalaya, | ||
78 | Afrotropics. Also, whether the simulation generated pantropical | 78 | Afrotropics. Also, whether the simulation generated pantropical | ||
79 | distribution of species (pantropicality_index), or the pantropical | 79 | distribution of species (pantropicality_index), or the pantropical | ||
80 | diversity disparity (PDD_index). Finally what time step the simulation | 80 | diversity disparity (PDD_index). Finally what time step the simulation | ||
81 | exited at (0 for complete simulations).\r\nDataset_S5.csv: Net | 81 | exited at (0 for complete simulations).\r\nDataset_S5.csv: Net | ||
82 | relatedness index (NRI) in three tropical moist forest regions and | 82 | relatedness index (NRI) in three tropical moist forest regions and | ||
83 | associated p-values for pantropically distributed | 83 | associated p-values for pantropically distributed | ||
84 | taxa.\r\n\r\nScripts\r\nGen3sis_config_creator.R and | 84 | taxa.\r\n\r\nScripts\r\nGen3sis_config_creator.R and | ||
85 | Gen3sis_config_template.R scripts generate the configurations files to | 85 | Gen3sis_config_template.R scripts generate the configurations files to | ||
86 | run the simulation experiment.\r\nGLS.R R script to replicate the | 86 | run the simulation experiment.\r\nGLS.R R script to replicate the | ||
87 | linear modelling analyses.\r\n\r\n", | 87 | linear modelling analyses.\r\n\r\n", | ||
n | 88 | "num_resources": 4, | n | 88 | "num_resources": 5, |
89 | "num_tags": 5, | 89 | "num_tags": 5, | ||
90 | "organization": { | 90 | "organization": { | ||
91 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
92 | "created": "2018-12-01T11:42:44.590217", | 92 | "created": "2018-12-01T11:42:44.590217", | ||
93 | "description": "Our laboratory aims at understanding and | 93 | "description": "Our laboratory aims at understanding and | ||
94 | forecasting the response of biodiversity to landscape changes. We | 94 | forecasting the response of biodiversity to landscape changes. We | ||
95 | investigate the historical responses of species to past changes such | 95 | investigate the historical responses of species to past changes such | ||
96 | as plate tectonics or the glaciations of the Quaternary and | 96 | as plate tectonics or the glaciations of the Quaternary and | ||
97 | contemporary responses to ongoing global changes. We develop spatial | 97 | contemporary responses to ongoing global changes. We develop spatial | ||
98 | mechanistic models of biodiversity that account for processes such as | 98 | mechanistic models of biodiversity that account for processes such as | ||
99 | dispersal and biotic interactions.", | 99 | dispersal and biotic interactions.", | ||
100 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 100 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
101 | "image_url": | 101 | "image_url": | ||
102 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | 102 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | ||
103 | "is_organization": true, | 103 | "is_organization": true, | ||
104 | "name": "landscape-ecology", | 104 | "name": "landscape-ecology", | ||
105 | "state": "active", | 105 | "state": "active", | ||
106 | "title": "Landscape Ecology", | 106 | "title": "Landscape Ecology", | ||
107 | "type": "organization" | 107 | "type": "organization" | ||
108 | }, | 108 | }, | ||
109 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 109 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
110 | "private": false, | 110 | "private": false, | ||
111 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 111 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
112 | \"EnviDat\"}", | 112 | \"EnviDat\"}", | ||
113 | "publication_state": "", | 113 | "publication_state": "", | ||
114 | "related_datasets": "", | 114 | "related_datasets": "", | ||
115 | "related_publications": "", | 115 | "related_publications": "", | ||
116 | "relationships_as_object": [], | 116 | "relationships_as_object": [], | ||
117 | "relationships_as_subject": [], | 117 | "relationships_as_subject": [], | ||
118 | "resource_type": "dataset", | 118 | "resource_type": "dataset", | ||
119 | "resource_type_general": "dataset", | 119 | "resource_type_general": "dataset", | ||
120 | "resources": [ | 120 | "resources": [ | ||
121 | { | 121 | { | ||
122 | "cache_last_updated": null, | 122 | "cache_last_updated": null, | ||
123 | "cache_url": null, | 123 | "cache_url": null, | ||
124 | "created": "2021-09-15T11:45:27.749059", | 124 | "created": "2021-09-15T11:45:27.749059", | ||
125 | "description": "Gen3sis_config_creator.R and | 125 | "description": "Gen3sis_config_creator.R and | ||
126 | Gen3sis_config_template.R scripts generate the configurations files to | 126 | Gen3sis_config_template.R scripts generate the configurations files to | ||
127 | run the simulation experiment.", | 127 | run the simulation experiment.", | ||
128 | "doi": "", | 128 | "doi": "", | ||
129 | "format": "R", | 129 | "format": "R", | ||
130 | "hash": "", | 130 | "hash": "", | ||
131 | "id": "a571cd80-2302-4fd8-aa60-2c3176654bb5", | 131 | "id": "a571cd80-2302-4fd8-aa60-2c3176654bb5", | ||
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136 | "name": "Gen3sis config creator", | 136 | "name": "Gen3sis config creator", | ||
137 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 137 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
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148 | 71cd80-2302-4fd8-aa60-2c3176654bb5/download/gen3sis_config_creator.r", | 148 | 71cd80-2302-4fd8-aa60-2c3176654bb5/download/gen3sis_config_creator.r", | ||
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151 | { | 151 | { | ||
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154 | "created": "2021-09-15T11:48:21.670609", | 154 | "created": "2021-09-15T11:48:21.670609", | ||
155 | "description": "Zip folder containing:\r\n\r\nDataset_S1.csv: | 155 | "description": "Zip folder containing:\r\n\r\nDataset_S1.csv: | ||
156 | includes species diversity counts for 237 clades in tropical moist | 156 | includes species diversity counts for 237 clades in tropical moist | ||
157 | forests (TMF) in the Neotropics (NeotropicalTMF), Indomalaya | 157 | forests (TMF) in the Neotropics (NeotropicalTMF), Indomalaya | ||
158 | (IndomalayanTMF), Afrotropics (AfrotropicalTMF), All three TMF regions | 158 | (IndomalayanTMF), Afrotropics (AfrotropicalTMF), All three TMF regions | ||
159 | together (AllTMF), all non-TMF regions (NonTMF), and in total (Total). | 159 | together (AllTMF), all non-TMF regions (NonTMF), and in total (Total). | ||
160 | As well as whether the clade is pantropical (Pantropical_clade) and | 160 | As well as whether the clade is pantropical (Pantropical_clade) and | ||
161 | shows the pantropical diversity disparity (PDD_clade). | 161 | shows the pantropical diversity disparity (PDD_clade). | ||
162 | \r\nDataset_S2.csv: environmental and species richness data. Longitude | 162 | \r\nDataset_S2.csv: environmental and species richness data. Longitude | ||
163 | (x), latitude (y), potential evapotranspiration (PET), mean annual | 163 | (x), latitude (y), potential evapotranspiration (PET), mean annual | ||
164 | temperature (MAT), mean annual precipitation), amphibian, bird, | 164 | temperature (MAT), mean annual precipitation), amphibian, bird, | ||
165 | mammal, and reptile species richness, PC1 and PC2 of environmental PCA | 165 | mammal, and reptile species richness, PC1 and PC2 of environmental PCA | ||
166 | and the region. Environmental data (from CHELSA and ENVIREM) and | 166 | and the region. Environmental data (from CHELSA and ENVIREM) and | ||
167 | species richness summarised from published data (vertLife, MOL, IUCN, | 167 | species richness summarised from published data (vertLife, MOL, IUCN, | ||
168 | GARD).\r\nDataset_S3.csv: - Paleoenvironmental reconstructions | 168 | GARD).\r\nDataset_S3.csv: - Paleoenvironmental reconstructions | ||
169 | (details in the associated SI appendix) including latitude (y), | 169 | (details in the associated SI appendix) including latitude (y), | ||
170 | longitude (x), and temperature data across 200 myrs at 170 kyr | 170 | longitude (x), and temperature data across 200 myrs at 170 kyr | ||
171 | intervals.\r\nDataset_S4.csv: simulation model parameters and | 171 | intervals.\r\nDataset_S4.csv: simulation model parameters and | ||
172 | diversity summary statistics. Including rate of temperature niche | 172 | diversity summary statistics. Including rate of temperature niche | ||
173 | evolution (Tev), temperature niche width (TW), divergence threshold | 173 | evolution (Tev), temperature niche width (TW), divergence threshold | ||
174 | (S), Dispersal probability distribution shape (WeibullShape) and | 174 | (S), Dispersal probability distribution shape (WeibullShape) and | ||
175 | information on number of extinct species, number of extant species, | 175 | information on number of extinct species, number of extant species, | ||
176 | total species, Spearman correlation coefficient between absolute | 176 | total species, Spearman correlation coefficient between absolute | ||
177 | latitude and species richness (latitude_richness_cor), and diversity | 177 | latitude and species richness (latitude_richness_cor), and diversity | ||
178 | in the Neotropics, Indomalaya, Afrotropics. Also, whether the | 178 | in the Neotropics, Indomalaya, Afrotropics. Also, whether the | ||
179 | simulation generated pantropical distribution of species | 179 | simulation generated pantropical distribution of species | ||
180 | (pantropicality_index), or the pantropical diversity disparity | 180 | (pantropicality_index), or the pantropical diversity disparity | ||
181 | (PDD_index). Finally what time step the simulation exited at (0 for | 181 | (PDD_index). Finally what time step the simulation exited at (0 for | ||
182 | complete simulations).\r\nDataset_S5.csv: Net relatedness index (NRI) | 182 | complete simulations).\r\nDataset_S5.csv: Net relatedness index (NRI) | ||
183 | in three tropical moist forest regions and associated p-values for | 183 | in three tropical moist forest regions and associated p-values for | ||
184 | pantropically distributed taxa.\r\nGen3sis_config_creator.R and | 184 | pantropically distributed taxa.\r\nGen3sis_config_creator.R and | ||
185 | Gen3sis_config_template.R scripts generate the configurations files to | 185 | Gen3sis_config_template.R scripts generate the configurations files to | ||
186 | run the simulation experiment.\r\nGLS.R R script to replicate the | 186 | run the simulation experiment.\r\nGLS.R R script to replicate the | ||
187 | linear modelling analyses.\r\n", | 187 | linear modelling analyses.\r\n", | ||
188 | "doi": "", | 188 | "doi": "", | ||
189 | "format": ".zip", | 189 | "format": ".zip", | ||
190 | "hash": "", | 190 | "hash": "", | ||
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210 | }, | 210 | }, | ||
211 | { | 211 | { | ||
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244 | run the simulation experiment.", | 244 | run the simulation experiment.", | ||
245 | "doi": "", | 245 | "doi": "", | ||
246 | "format": "", | 246 | "format": "", | ||
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295 | "url_type": "upload" | ||||
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272 | "spatial_info": "Switzerland", | 301 | "spatial_info": "Switzerland", | ||
273 | "state": "draft", | 302 | "state": "draft", | ||
274 | "subtitle": "", | 303 | "subtitle": "", | ||
275 | "tags": [ | 304 | "tags": [ | ||
276 | { | 305 | { | ||
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278 | "id": "7fd8733b-4feb-438b-a363-65cb5ce4b52a", | 307 | "id": "7fd8733b-4feb-438b-a363-65cb5ce4b52a", | ||
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280 | "state": "active", | 309 | "state": "active", | ||
281 | "vocabulary_id": null | 310 | "vocabulary_id": null | ||
282 | }, | 311 | }, | ||
283 | { | 312 | { | ||
284 | "display_name": "MECHANISTIC MODELING", | 313 | "display_name": "MECHANISTIC MODELING", | ||
285 | "id": "64a80515-5864-4aee-9311-9fa9b13b8b5c", | 314 | "id": "64a80515-5864-4aee-9311-9fa9b13b8b5c", | ||
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296 | }, | 325 | }, | ||
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302 | "vocabulary_id": null | 331 | "vocabulary_id": null | ||
303 | }, | 332 | }, | ||
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308 | "state": "active", | 337 | "state": "active", | ||
309 | "vocabulary_id": null | 338 | "vocabulary_id": null | ||
310 | } | 339 | } | ||
311 | ], | 340 | ], | ||
312 | "title": "Data from: Earth history events shaped the evolution of | 341 | "title": "Data from: Earth history events shaped the evolution of | ||
313 | uneven biodiversity across tropical moist forests", | 342 | uneven biodiversity across tropical moist forests", | ||
314 | "type": "dataset", | 343 | "type": "dataset", | ||
315 | "url": null, | 344 | "url": null, | ||
316 | "version": "1.0" | 345 | "version": "1.0" | ||
317 | } | 346 | } |