Changes
On September 16, 2021 at 1:10:34 PM UTC, Administrator:
-
Changed value of field
publication_state
topublished
in Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"German Centre for Integrative | 2 | "author": "[{\"affiliation\": \"German Centre for Integrative | ||
3 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | 3 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | ||
4 | \"affiliation_02\": \"ETH Zurich\", \"affiliation_03\": \"\", | 4 | \"affiliation_02\": \"ETH Zurich\", \"affiliation_03\": \"\", | ||
5 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | 5 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||
6 | \"software\", \"publication\"], \"email\": \"oskar@hagen.bio\", | 6 | \"software\", \"publication\"], \"email\": \"oskar@hagen.bio\", | ||
7 | \"given_name\": \"Oskar\", \"identifier\": \"0000-0002-7931-6571\", | 7 | \"given_name\": \"Oskar\", \"identifier\": \"0000-0002-7931-6571\", | ||
8 | \"name\": \"Hagen\"}, {\"affiliation\": \"Swiss Federal Research | 8 | \"name\": \"Hagen\"}, {\"affiliation\": \"Swiss Federal Research | ||
9 | Institute for Forest, Snow and Landscape (WSL)\", \"affiliation_02\": | 9 | Institute for Forest, Snow and Landscape (WSL)\", \"affiliation_02\": | ||
10 | \"ETH Zurich\", \"affiliation_03\": \"\", \"data_credit\": | 10 | \"ETH Zurich\", \"affiliation_03\": \"\", \"data_credit\": | ||
11 | [\"collection\", \"validation\", \"curation\", \"software\", | 11 | [\"collection\", \"validation\", \"curation\", \"software\", | ||
12 | \"publication\"], \"email\": \"alexander.skeels@usys.ethz.ch\", | 12 | \"publication\"], \"email\": \"alexander.skeels@usys.ethz.ch\", | ||
13 | \"given_name\": \"Alexander\", \"identifier\": \"\", \"name\": | 13 | \"given_name\": \"Alexander\", \"identifier\": \"\", \"name\": | ||
14 | \"Skeels\"}, {\"affiliation\": \"German Centre for Integrative | 14 | \"Skeels\"}, {\"affiliation\": \"German Centre for Integrative | ||
15 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | 15 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | ||
16 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 16 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
17 | [\"collection\", \"publication\"], \"email\": | 17 | [\"collection\", \"publication\"], \"email\": | ||
18 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | 18 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | ||
19 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | 19 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | ||
20 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | 20 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | ||
21 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 21 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
22 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | 22 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | ||
23 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | 23 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | ||
24 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}, | 24 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}, | ||
25 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | 25 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | ||
26 | Research Institute for Forest, Snow and Landscape (WSL)\", | 26 | Research Institute for Forest, Snow and Landscape (WSL)\", | ||
27 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 27 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
28 | \"validation\", \"curation\", \"software\", \"publication\", | 28 | \"validation\", \"curation\", \"software\", \"publication\", | ||
29 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | 29 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | ||
30 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | 30 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | ||
31 | \"Pellissier\"}]", | 31 | \"Pellissier\"}]", | ||
32 | "author_email": null, | 32 | "author_email": null, | ||
33 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | 33 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | ||
34 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | 34 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | ||
35 | \"end_date\": \"2021-09-15\"}]", | 35 | \"end_date\": \"2021-09-15\"}]", | ||
36 | "doi": "10.16904/envidat.246", | 36 | "doi": "10.16904/envidat.246", | ||
37 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | 37 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | ||
38 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | 38 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | ||
39 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | 39 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | ||
40 | "groups": [], | 40 | "groups": [], | ||
41 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 41 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
42 | "isopen": false, | 42 | "isopen": false, | ||
43 | "language": "en", | 43 | "language": "en", | ||
44 | "license_id": "wsl-data", | 44 | "license_id": "wsl-data", | ||
45 | "license_title": "WSL Data Policy", | 45 | "license_title": "WSL Data Policy", | ||
46 | "license_url": | 46 | "license_url": | ||
47 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 47 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
48 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | 48 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | ||
49 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | 49 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | ||
50 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | 50 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | ||
51 | "maintainer_email": null, | 51 | "maintainer_email": null, | ||
52 | "metadata_created": "2021-09-15T11:44:16.660831", | 52 | "metadata_created": "2021-09-15T11:44:16.660831", | ||
n | 53 | "metadata_modified": "2021-09-16T13:07:18.835021", | n | 53 | "metadata_modified": "2021-09-16T13:10:34.552951", |
54 | "name": "data-from-hagen-skeels-etal-pnas", | 54 | "name": "data-from-hagen-skeels-etal-pnas", | ||
55 | "notes": "Datasets and R scripts | 55 | "notes": "Datasets and R scripts | ||
56 | \r\n\r\n~~~~~Datasets\r\n\r\nDataset_S1.csv: Distribution of species | 56 | \r\n\r\n~~~~~Datasets\r\n\r\nDataset_S1.csv: Distribution of species | ||
57 | diversity in plant and vertebrate clades. Total clade level diversity | 57 | diversity in plant and vertebrate clades. Total clade level diversity | ||
58 | and species diversity in tropical moist forests (TMF) across the | 58 | and species diversity in tropical moist forests (TMF) across the | ||
59 | Neotropics, Indomalaya and Afrotropics. Pantropical clades are found | 59 | Neotropics, Indomalaya and Afrotropics. Pantropical clades are found | ||
60 | in all three TMF regions with at least one-third of the clades\u2019 | 60 | in all three TMF regions with at least one-third of the clades\u2019 | ||
61 | total diversity spread throughout these regions. Pantropical diversity | 61 | total diversity spread throughout these regions. Pantropical diversity | ||
62 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | 62 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | ||
63 | than in the Neotropics and Indomalaya.\r\n\r\nDataset_S2.csv: | 63 | than in the Neotropics and Indomalaya.\r\n\r\nDataset_S2.csv: | ||
64 | Environmental and species richness data across 110 km x 110 km grid | 64 | Environmental and species richness data across 110 km x 110 km grid | ||
65 | cells in Neotropical, Indomalayan and Afrotropical moist forest sites. | 65 | cells in Neotropical, Indomalayan and Afrotropical moist forest sites. | ||
66 | Variables include x and y coordinates in the Behrmann equal area | 66 | Variables include x and y coordinates in the Behrmann equal area | ||
67 | coordinate reference system, potential evapotranspiration (PET), mean | 67 | coordinate reference system, potential evapotranspiration (PET), mean | ||
68 | annual temperature (MAT), mean annual precipitation (MAP), amphibian, | 68 | annual temperature (MAT), mean annual precipitation (MAP), amphibian, | ||
69 | mammal, bird and squamate reptile species richness and biogeographic | 69 | mammal, bird and squamate reptile species richness and biogeographic | ||
70 | region, as well as the first two principal components of a principal | 70 | region, as well as the first two principal components of a principal | ||
71 | component analysis on PET, MAT and MAP (PC1, | 71 | component analysis on PET, MAT and MAP (PC1, | ||
72 | PC2).\r\n\r\nDataset_S3.csv: Global reconstructed paleo-temperature | 72 | PC2).\r\n\r\nDataset_S3.csv: Global reconstructed paleo-temperature | ||
73 | estimates and spatial coordinates across 200 million years at 170,000 | 73 | estimates and spatial coordinates across 200 million years at 170,000 | ||
74 | year intervals at 2 degree spatial resolution.\r\n\r\nDataset_S4.csv: | 74 | year intervals at 2 degree spatial resolution.\r\n\r\nDataset_S4.csv: | ||
75 | Gen3sis model parameters and biodiversity summary statistics. Summary | 75 | Gen3sis model parameters and biodiversity summary statistics. Summary | ||
76 | statistics include the number of extant species, the number of extinct | 76 | statistics include the number of extant species, the number of extinct | ||
77 | species, the total number of species, the number of species within the | 77 | species, the total number of species, the number of species within the | ||
78 | tropical moist forest biome boundaries in the Neotropics, the | 78 | tropical moist forest biome boundaries in the Neotropics, the | ||
79 | Afrotropics and Indomalaya, the pantropical index, and the pantropical | 79 | Afrotropics and Indomalaya, the pantropical index, and the pantropical | ||
80 | disparity index, as well as the running time-step and diversity of | 80 | disparity index, as well as the running time-step and diversity of | ||
81 | unfinished simulations.\r\n\r\nDataset_S5.csv: Net relatedness index | 81 | unfinished simulations.\r\n\r\nDataset_S5.csv: Net relatedness index | ||
82 | (NRI) values for vertebrate clades showing an observed disparity in | 82 | (NRI) values for vertebrate clades showing an observed disparity in | ||
83 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | 83 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | ||
84 | moist forest regions and associated P-values. Positive values indicate | 84 | moist forest regions and associated P-values. Positive values indicate | ||
85 | phylogenetic clustering, whereas negative values indicate phylogenetic | 85 | phylogenetic clustering, whereas negative values indicate phylogenetic | ||
86 | overdispersion.\r\n\r\n~~~~~Scripts\r\n\r\nScript_1 - GLS.R. R script | 86 | overdispersion.\r\n\r\n~~~~~Scripts\r\n\r\nScript_1 - GLS.R. R script | ||
87 | to replicate the linear modelling analyses.\r\n\r\nScript_2 - | 87 | to replicate the linear modelling analyses.\r\n\r\nScript_2 - | ||
88 | Gen3sis_config_template.R. R script to generate the configurations | 88 | Gen3sis_config_template.R. R script to generate the configurations | ||
89 | files to run the simulation experiment.\r\n\r\nScript_3 - | 89 | files to run the simulation experiment.\r\n\r\nScript_3 - | ||
90 | Gen3sis_config_creator.R. R script to generate the configurations | 90 | Gen3sis_config_creator.R. R script to generate the configurations | ||
91 | files to run the simulation experiment.\r\n\r\n\r\n\r\n", | 91 | files to run the simulation experiment.\r\n\r\n\r\n\r\n", | ||
92 | "num_resources": 8, | 92 | "num_resources": 8, | ||
93 | "num_tags": 5, | 93 | "num_tags": 5, | ||
94 | "organization": { | 94 | "organization": { | ||
95 | "approval_status": "approved", | 95 | "approval_status": "approved", | ||
96 | "created": "2018-12-01T11:42:44.590217", | 96 | "created": "2018-12-01T11:42:44.590217", | ||
97 | "description": "Our laboratory aims at understanding and | 97 | "description": "Our laboratory aims at understanding and | ||
98 | forecasting the response of biodiversity to landscape changes. We | 98 | forecasting the response of biodiversity to landscape changes. We | ||
99 | investigate the historical responses of species to past changes such | 99 | investigate the historical responses of species to past changes such | ||
100 | as plate tectonics or the glaciations of the Quaternary and | 100 | as plate tectonics or the glaciations of the Quaternary and | ||
101 | contemporary responses to ongoing global changes. We develop spatial | 101 | contemporary responses to ongoing global changes. We develop spatial | ||
102 | mechanistic models of biodiversity that account for processes such as | 102 | mechanistic models of biodiversity that account for processes such as | ||
103 | dispersal and biotic interactions.", | 103 | dispersal and biotic interactions.", | ||
104 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 104 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
105 | "image_url": | 105 | "image_url": | ||
106 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | 106 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | ||
107 | "is_organization": true, | 107 | "is_organization": true, | ||
108 | "name": "landscape-ecology", | 108 | "name": "landscape-ecology", | ||
109 | "state": "active", | 109 | "state": "active", | ||
110 | "title": "Landscape Ecology", | 110 | "title": "Landscape Ecology", | ||
111 | "type": "organization" | 111 | "type": "organization" | ||
112 | }, | 112 | }, | ||
113 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 113 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
114 | "private": false, | 114 | "private": false, | ||
115 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 115 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
116 | \"EnviDat\"}", | 116 | \"EnviDat\"}", | ||
t | 117 | "publication_state": "approved", | t | 117 | "publication_state": "published", |
118 | "related_datasets": "", | 118 | "related_datasets": "", | ||
119 | "related_publications": "", | 119 | "related_publications": "", | ||
120 | "relationships_as_object": [], | 120 | "relationships_as_object": [], | ||
121 | "relationships_as_subject": [], | 121 | "relationships_as_subject": [], | ||
122 | "resource_type": "dataset", | 122 | "resource_type": "dataset", | ||
123 | "resource_type_general": "dataset", | 123 | "resource_type_general": "dataset", | ||
124 | "resources": [ | 124 | "resources": [ | ||
125 | { | 125 | { | ||
126 | "cache_last_updated": null, | 126 | "cache_last_updated": null, | ||
127 | "cache_url": null, | 127 | "cache_url": null, | ||
128 | "created": "2021-09-16T12:40:02.618580", | 128 | "created": "2021-09-16T12:40:02.618580", | ||
129 | "description": "Dataset_S1.csv includes species diversity counts | 129 | "description": "Dataset_S1.csv includes species diversity counts | ||
130 | for 237 clades in tropical moist forests (TMF) in the Neotropics | 130 | for 237 clades in tropical moist forests (TMF) in the Neotropics | ||
131 | (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | 131 | (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | ||
132 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | 132 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | ||
133 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | 133 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | ||
134 | clade is pantropical (Pantropical_clade) and shows the pantropical | 134 | clade is pantropical (Pantropical_clade) and shows the pantropical | ||
135 | diversity disparity (PDD_clade). Pantropical clades are found in all | 135 | diversity disparity (PDD_clade). Pantropical clades are found in all | ||
136 | three TMF regions with at least one-third of the clades\u2019 total | 136 | three TMF regions with at least one-third of the clades\u2019 total | ||
137 | diversity spread throughout these regions. Pantropical diversity | 137 | diversity spread throughout these regions. Pantropical diversity | ||
138 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | 138 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | ||
139 | than in the Neotropics and Indomalaya.", | 139 | than in the Neotropics and Indomalaya.", | ||
140 | "doi": "", | 140 | "doi": "", | ||
141 | "format": ".csv", | 141 | "format": ".csv", | ||
142 | "hash": "", | 142 | "hash": "", | ||
143 | "id": "dfbd6861-c745-4bf2-8988-3ddd790bcaad", | 143 | "id": "dfbd6861-c745-4bf2-8988-3ddd790bcaad", | ||
144 | "last_modified": null, | 144 | "last_modified": null, | ||
145 | "metadata_modified": "2021-09-16T12:56:47.402811", | 145 | "metadata_modified": "2021-09-16T12:56:47.402811", | ||
146 | "mimetype": null, | 146 | "mimetype": null, | ||
147 | "mimetype_inner": null, | 147 | "mimetype_inner": null, | ||
148 | "name": "Dataset_S1", | 148 | "name": "Dataset_S1", | ||
149 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 149 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
150 | "position": 0, | 150 | "position": 0, | ||
151 | "publication_state": "", | 151 | "publication_state": "", | ||
152 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 152 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
153 | \"\"}", | 153 | \"\"}", | ||
154 | "resource_type": null, | 154 | "resource_type": null, | ||
155 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 155 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
156 | \"shared_secret\": \"\"}", | 156 | \"shared_secret\": \"\"}", | ||
157 | "size": 8409, | 157 | "size": 8409, | ||
158 | "state": "active", | 158 | "state": "active", | ||
159 | "url": | 159 | "url": | ||
160 | esource/dfbd6861-c745-4bf2-8988-3ddd790bcaad/download/dataset_s1.csv", | 160 | esource/dfbd6861-c745-4bf2-8988-3ddd790bcaad/download/dataset_s1.csv", | ||
161 | "url_type": "upload" | 161 | "url_type": "upload" | ||
162 | }, | 162 | }, | ||
163 | { | 163 | { | ||
164 | "cache_last_updated": null, | 164 | "cache_last_updated": null, | ||
165 | "cache_url": null, | 165 | "cache_url": null, | ||
166 | "created": "2021-09-16T12:40:52.497633", | 166 | "created": "2021-09-16T12:40:52.497633", | ||
167 | "description": "Dataset_S2.csv: Environmental and species | 167 | "description": "Dataset_S2.csv: Environmental and species | ||
168 | richness data across 110 km x 110 km grid cells in Neotropical, | 168 | richness data across 110 km x 110 km grid cells in Neotropical, | ||
169 | Indomalayan and Afrotropical moist forest sites. Variables include x | 169 | Indomalayan and Afrotropical moist forest sites. Variables include x | ||
170 | and y coordinates in the Behrmann equal area coordinate reference | 170 | and y coordinates in the Behrmann equal area coordinate reference | ||
171 | system, potential evapotranspiration (PET), mean annual temperature | 171 | system, potential evapotranspiration (PET), mean annual temperature | ||
172 | (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and | 172 | (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and | ||
173 | squamate reptile species richness and biogeographic region, as well as | 173 | squamate reptile species richness and biogeographic region, as well as | ||
174 | the first two principal components of a principal component analysis | 174 | the first two principal components of a principal component analysis | ||
175 | on PET, MAT and MAP (PC1, PC2). Environmental data is from CHELSA and | 175 | on PET, MAT and MAP (PC1, PC2). Environmental data is from CHELSA and | ||
176 | ENVIREM and species richness summarised from published data (vertLife, | 176 | ENVIREM and species richness summarised from published data (vertLife, | ||
177 | MOL, IUCN, GARD).", | 177 | MOL, IUCN, GARD).", | ||
178 | "doi": "", | 178 | "doi": "", | ||
179 | "format": ".csv", | 179 | "format": ".csv", | ||
180 | "hash": "", | 180 | "hash": "", | ||
181 | "id": "ec608c8b-edbc-40f8-8e11-bfa9d6462923", | 181 | "id": "ec608c8b-edbc-40f8-8e11-bfa9d6462923", | ||
182 | "last_modified": null, | 182 | "last_modified": null, | ||
183 | "metadata_modified": "2021-09-16T12:57:45.811414", | 183 | "metadata_modified": "2021-09-16T12:57:45.811414", | ||
184 | "mimetype": null, | 184 | "mimetype": null, | ||
185 | "mimetype_inner": null, | 185 | "mimetype_inner": null, | ||
186 | "name": "Dataset_S2", | 186 | "name": "Dataset_S2", | ||
187 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 187 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
188 | "position": 1, | 188 | "position": 1, | ||
189 | "publication_state": "", | 189 | "publication_state": "", | ||
190 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 190 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
191 | \"\"}", | 191 | \"\"}", | ||
192 | "resource_type": null, | 192 | "resource_type": null, | ||
193 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 193 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
194 | \"shared_secret\": \"\"}", | 194 | \"shared_secret\": \"\"}", | ||
195 | "size": 207900, | 195 | "size": 207900, | ||
196 | "state": "active", | 196 | "state": "active", | ||
197 | "url": | 197 | "url": | ||
198 | esource/ec608c8b-edbc-40f8-8e11-bfa9d6462923/download/dataset_s2.csv", | 198 | esource/ec608c8b-edbc-40f8-8e11-bfa9d6462923/download/dataset_s2.csv", | ||
199 | "url_type": "upload" | 199 | "url_type": "upload" | ||
200 | }, | 200 | }, | ||
201 | { | 201 | { | ||
202 | "cache_last_updated": null, | 202 | "cache_last_updated": null, | ||
203 | "cache_url": null, | 203 | "cache_url": null, | ||
204 | "created": "2021-09-16T12:41:24.073089", | 204 | "created": "2021-09-16T12:41:24.073089", | ||
205 | "description": "Dataset_S3.csv: - Paleoenvironmental | 205 | "description": "Dataset_S3.csv: - Paleoenvironmental | ||
206 | reconstructions (details in the associated SI appendix) including | 206 | reconstructions (details in the associated SI appendix) including | ||
207 | latitude (y), longitude (x), and temperature data across 200 myrs at | 207 | latitude (y), longitude (x), and temperature data across 200 myrs at | ||
208 | 170 kyr intervals.", | 208 | 170 kyr intervals.", | ||
209 | "doi": "", | 209 | "doi": "", | ||
210 | "format": ".csv", | 210 | "format": ".csv", | ||
211 | "hash": "", | 211 | "hash": "", | ||
212 | "id": "140b8a2f-120f-4975-afe6-e40927f50442", | 212 | "id": "140b8a2f-120f-4975-afe6-e40927f50442", | ||
213 | "last_modified": null, | 213 | "last_modified": null, | ||
214 | "metadata_modified": "2021-09-16T12:41:24.046517", | 214 | "metadata_modified": "2021-09-16T12:41:24.046517", | ||
215 | "mimetype": null, | 215 | "mimetype": null, | ||
216 | "mimetype_inner": null, | 216 | "mimetype_inner": null, | ||
217 | "name": "Dataset_S3", | 217 | "name": "Dataset_S3", | ||
218 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 218 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
219 | "position": 2, | 219 | "position": 2, | ||
220 | "publication_state": "", | 220 | "publication_state": "", | ||
221 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 221 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
222 | \"kb\"}", | 222 | \"kb\"}", | ||
223 | "resource_type": null, | 223 | "resource_type": null, | ||
224 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 224 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
225 | \"shared_secret\": \"\"}", | 225 | \"shared_secret\": \"\"}", | ||
226 | "size": 147810332, | 226 | "size": 147810332, | ||
227 | "state": "active", | 227 | "state": "active", | ||
228 | "url": | 228 | "url": | ||
229 | esource/140b8a2f-120f-4975-afe6-e40927f50442/download/dataset_s3.csv", | 229 | esource/140b8a2f-120f-4975-afe6-e40927f50442/download/dataset_s3.csv", | ||
230 | "url_type": "upload" | 230 | "url_type": "upload" | ||
231 | }, | 231 | }, | ||
232 | { | 232 | { | ||
233 | "cache_last_updated": null, | 233 | "cache_last_updated": null, | ||
234 | "cache_url": null, | 234 | "cache_url": null, | ||
235 | "created": "2021-09-16T12:42:56.042298", | 235 | "created": "2021-09-16T12:42:56.042298", | ||
236 | "description": "Dataset_S4.csv: simulation model parameters and | 236 | "description": "Dataset_S4.csv: simulation model parameters and | ||
237 | diversity summary statistics. Including rate of temperature niche | 237 | diversity summary statistics. Including rate of temperature niche | ||
238 | evolution (Tev), temperature niche width (TW), divergence threshold | 238 | evolution (Tev), temperature niche width (TW), divergence threshold | ||
239 | (S), Dispersal probability distribution shape (WeibullShape), model | 239 | (S), Dispersal probability distribution shape (WeibullShape), model | ||
240 | identifier (model), and random seed (seed). Also includes information | 240 | identifier (model), and random seed (seed). Also includes information | ||
241 | on number of extinct species (n_extinct), number of extant species | 241 | on number of extinct species (n_extinct), number of extant species | ||
242 | (n_extant), total species (total_diversity), Spearman correlation | 242 | (n_extant), total species (total_diversity), Spearman correlation | ||
243 | coefficient between absolute latitude and species richness | 243 | coefficient between absolute latitude and species richness | ||
244 | (latitude_richness_cor), and diversity in the Neotropics | 244 | (latitude_richness_cor), and diversity in the Neotropics | ||
245 | (neotropical_diversity), Indomalaya (indomalayan_diversity), | 245 | (neotropical_diversity), Indomalaya (indomalayan_diversity), | ||
246 | Afrotropics (afrotropical_diversity). Also, whether the simulation | 246 | Afrotropics (afrotropical_diversity). Also, whether the simulation | ||
247 | generated pantropical distribution of species (pantropicality_index), | 247 | generated pantropical distribution of species (pantropicality_index), | ||
248 | or the pantropical diversity disparity (PDD_index). Finally what time | 248 | or the pantropical diversity disparity (PDD_index). Finally what time | ||
249 | step the simulation exited at (0 for complete simulations) and the | 249 | step the simulation exited at (0 for complete simulations) and the | ||
250 | number of species in the ending timestep (running_diversity).", | 250 | number of species in the ending timestep (running_diversity).", | ||
251 | "doi": "", | 251 | "doi": "", | ||
252 | "format": ".csv", | 252 | "format": ".csv", | ||
253 | "hash": "", | 253 | "hash": "", | ||
254 | "id": "993d0dae-ce0d-4b0f-bc22-427d2673cd13", | 254 | "id": "993d0dae-ce0d-4b0f-bc22-427d2673cd13", | ||
255 | "last_modified": null, | 255 | "last_modified": null, | ||
256 | "metadata_modified": "2021-09-16T13:00:30.776420", | 256 | "metadata_modified": "2021-09-16T13:00:30.776420", | ||
257 | "mimetype": null, | 257 | "mimetype": null, | ||
258 | "mimetype_inner": null, | 258 | "mimetype_inner": null, | ||
259 | "name": "Dataset_S4", | 259 | "name": "Dataset_S4", | ||
260 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 260 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
261 | "position": 3, | 261 | "position": 3, | ||
262 | "publication_state": "", | 262 | "publication_state": "", | ||
263 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 263 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
264 | \"\"}", | 264 | \"\"}", | ||
265 | "resource_type": null, | 265 | "resource_type": null, | ||
266 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 266 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
267 | \"shared_secret\": \"\"}", | 267 | \"shared_secret\": \"\"}", | ||
268 | "size": 46904, | 268 | "size": 46904, | ||
269 | "state": "active", | 269 | "state": "active", | ||
270 | "url": | 270 | "url": | ||
271 | esource/993d0dae-ce0d-4b0f-bc22-427d2673cd13/download/dataset_s4.csv", | 271 | esource/993d0dae-ce0d-4b0f-bc22-427d2673cd13/download/dataset_s4.csv", | ||
272 | "url_type": "upload" | 272 | "url_type": "upload" | ||
273 | }, | 273 | }, | ||
274 | { | 274 | { | ||
275 | "cache_last_updated": null, | 275 | "cache_last_updated": null, | ||
276 | "cache_url": null, | 276 | "cache_url": null, | ||
277 | "created": "2021-09-16T12:43:30.658314", | 277 | "created": "2021-09-16T12:43:30.658314", | ||
278 | "description": "Dataset_S5.csv: Net relatedness index (NRI) | 278 | "description": "Dataset_S5.csv: Net relatedness index (NRI) | ||
279 | values for vertebrate clades showing an observed disparity in | 279 | values for vertebrate clades showing an observed disparity in | ||
280 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | 280 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | ||
281 | moist forest regions and associated P-values. Positive values indicate | 281 | moist forest regions and associated P-values. Positive values indicate | ||
282 | phylogenetic clustering, whereas negative values indicate phylogenetic | 282 | phylogenetic clustering, whereas negative values indicate phylogenetic | ||
283 | overdispersion.", | 283 | overdispersion.", | ||
284 | "doi": "", | 284 | "doi": "", | ||
285 | "format": ".csv", | 285 | "format": ".csv", | ||
286 | "hash": "", | 286 | "hash": "", | ||
287 | "id": "eb72dfb6-ddcd-4363-8ce5-b605ea8bd1f3", | 287 | "id": "eb72dfb6-ddcd-4363-8ce5-b605ea8bd1f3", | ||
288 | "last_modified": null, | 288 | "last_modified": null, | ||
289 | "metadata_modified": "2021-09-16T13:01:16.585311", | 289 | "metadata_modified": "2021-09-16T13:01:16.585311", | ||
290 | "mimetype": null, | 290 | "mimetype": null, | ||
291 | "mimetype_inner": null, | 291 | "mimetype_inner": null, | ||
292 | "name": "Dataset_S5", | 292 | "name": "Dataset_S5", | ||
293 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 293 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
294 | "position": 4, | 294 | "position": 4, | ||
295 | "publication_state": "", | 295 | "publication_state": "", | ||
296 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 296 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
297 | \"\"}", | 297 | \"\"}", | ||
298 | "resource_type": null, | 298 | "resource_type": null, | ||
299 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 299 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
300 | \"shared_secret\": \"\"}", | 300 | \"shared_secret\": \"\"}", | ||
301 | "size": 1652, | 301 | "size": 1652, | ||
302 | "state": "active", | 302 | "state": "active", | ||
303 | "url": | 303 | "url": | ||
304 | esource/eb72dfb6-ddcd-4363-8ce5-b605ea8bd1f3/download/dataset_s5.csv", | 304 | esource/eb72dfb6-ddcd-4363-8ce5-b605ea8bd1f3/download/dataset_s5.csv", | ||
305 | "url_type": "upload" | 305 | "url_type": "upload" | ||
306 | }, | 306 | }, | ||
307 | { | 307 | { | ||
308 | "cache_last_updated": null, | 308 | "cache_last_updated": null, | ||
309 | "cache_url": null, | 309 | "cache_url": null, | ||
310 | "created": "2021-09-16T12:45:37.115360", | 310 | "created": "2021-09-16T12:45:37.115360", | ||
311 | "description": "R script to replicate the linear modelling | 311 | "description": "R script to replicate the linear modelling | ||
312 | analyses.", | 312 | analyses.", | ||
313 | "doi": "", | 313 | "doi": "", | ||
314 | "format": ".R", | 314 | "format": ".R", | ||
315 | "hash": "", | 315 | "hash": "", | ||
316 | "id": "f7e89750-58cc-4d19-a5d0-32cf41e7deef", | 316 | "id": "f7e89750-58cc-4d19-a5d0-32cf41e7deef", | ||
317 | "last_modified": null, | 317 | "last_modified": null, | ||
318 | "metadata_modified": "2021-09-16T12:45:37.088727", | 318 | "metadata_modified": "2021-09-16T12:45:37.088727", | ||
319 | "mimetype": null, | 319 | "mimetype": null, | ||
320 | "mimetype_inner": null, | 320 | "mimetype_inner": null, | ||
321 | "name": "Script_1", | 321 | "name": "Script_1", | ||
322 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 322 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
323 | "position": 5, | 323 | "position": 5, | ||
324 | "publication_state": "", | 324 | "publication_state": "", | ||
325 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 325 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
326 | \"kb\"}", | 326 | \"kb\"}", | ||
327 | "resource_type": null, | 327 | "resource_type": null, | ||
328 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 328 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
329 | \"shared_secret\": \"\"}", | 329 | \"shared_secret\": \"\"}", | ||
330 | "size": 8705, | 330 | "size": 8705, | ||
331 | "state": "active", | 331 | "state": "active", | ||
332 | "url": | 332 | "url": | ||
333 | fc875b9/resource/f7e89750-58cc-4d19-a5d0-32cf41e7deef/download/gls.r", | 333 | fc875b9/resource/f7e89750-58cc-4d19-a5d0-32cf41e7deef/download/gls.r", | ||
334 | "url_type": "upload" | 334 | "url_type": "upload" | ||
335 | }, | 335 | }, | ||
336 | { | 336 | { | ||
337 | "cache_last_updated": null, | 337 | "cache_last_updated": null, | ||
338 | "cache_url": null, | 338 | "cache_url": null, | ||
339 | "created": "2021-09-16T12:46:11.845641", | 339 | "created": "2021-09-16T12:46:11.845641", | ||
340 | "description": "Script used to generate the configurations files | 340 | "description": "Script used to generate the configurations files | ||
341 | to run the simulation experiment.", | 341 | to run the simulation experiment.", | ||
342 | "doi": "", | 342 | "doi": "", | ||
343 | "format": ".R", | 343 | "format": ".R", | ||
344 | "hash": "", | 344 | "hash": "", | ||
345 | "id": "e02e013f-3977-4387-89ce-e0ede683e7e1", | 345 | "id": "e02e013f-3977-4387-89ce-e0ede683e7e1", | ||
346 | "last_modified": null, | 346 | "last_modified": null, | ||
347 | "metadata_modified": "2021-09-16T12:46:11.813525", | 347 | "metadata_modified": "2021-09-16T12:46:11.813525", | ||
348 | "mimetype": null, | 348 | "mimetype": null, | ||
349 | "mimetype_inner": null, | 349 | "mimetype_inner": null, | ||
350 | "name": "Script_2", | 350 | "name": "Script_2", | ||
351 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 351 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
352 | "position": 6, | 352 | "position": 6, | ||
353 | "publication_state": "", | 353 | "publication_state": "", | ||
354 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 354 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
355 | \"kb\"}", | 355 | \"kb\"}", | ||
356 | "resource_type": null, | 356 | "resource_type": null, | ||
357 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 357 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
358 | \"shared_secret\": \"\"}", | 358 | \"shared_secret\": \"\"}", | ||
359 | "size": 6345, | 359 | "size": 6345, | ||
360 | "state": "active", | 360 | "state": "active", | ||
361 | "url": | 361 | "url": | ||
362 | e013f-3977-4387-89ce-e0ede683e7e1/download/gen3sis_config_template.r", | 362 | e013f-3977-4387-89ce-e0ede683e7e1/download/gen3sis_config_template.r", | ||
363 | "url_type": "upload" | 363 | "url_type": "upload" | ||
364 | }, | 364 | }, | ||
365 | { | 365 | { | ||
366 | "cache_last_updated": null, | 366 | "cache_last_updated": null, | ||
367 | "cache_url": null, | 367 | "cache_url": null, | ||
368 | "created": "2021-09-16T12:44:44.443964", | 368 | "created": "2021-09-16T12:44:44.443964", | ||
369 | "description": "Script used to generate the configurations files | 369 | "description": "Script used to generate the configurations files | ||
370 | to run the simulation experiment.", | 370 | to run the simulation experiment.", | ||
371 | "doi": "", | 371 | "doi": "", | ||
372 | "format": ".R", | 372 | "format": ".R", | ||
373 | "hash": "", | 373 | "hash": "", | ||
374 | "id": "128aaa9b-008c-40a9-91c2-661848a9d9d8", | 374 | "id": "128aaa9b-008c-40a9-91c2-661848a9d9d8", | ||
375 | "last_modified": null, | 375 | "last_modified": null, | ||
376 | "metadata_modified": "2021-09-16T12:44:44.299371", | 376 | "metadata_modified": "2021-09-16T12:44:44.299371", | ||
377 | "mimetype": null, | 377 | "mimetype": null, | ||
378 | "mimetype_inner": null, | 378 | "mimetype_inner": null, | ||
379 | "name": "Script_3", | 379 | "name": "Script_3", | ||
380 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 380 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
381 | "position": 7, | 381 | "position": 7, | ||
382 | "publication_state": "", | 382 | "publication_state": "", | ||
383 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 383 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
384 | \"kb\"}", | 384 | \"kb\"}", | ||
385 | "resource_type": null, | 385 | "resource_type": null, | ||
386 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 386 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
387 | \"shared_secret\": \"\"}", | 387 | \"shared_secret\": \"\"}", | ||
388 | "size": 3070, | 388 | "size": 3070, | ||
389 | "state": "active", | 389 | "state": "active", | ||
390 | "url": | 390 | "url": | ||
391 | 8aaa9b-008c-40a9-91c2-661848a9d9d8/download/gen3sis_config_creator.r", | 391 | 8aaa9b-008c-40a9-91c2-661848a9d9d8/download/gen3sis_config_creator.r", | ||
392 | "url_type": "upload" | 392 | "url_type": "upload" | ||
393 | } | 393 | } | ||
394 | ], | 394 | ], | ||
395 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | 395 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | ||
396 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | 396 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | ||
397 | 45.81802],[5.95587, 45.81802]]]}", | 397 | 45.81802],[5.95587, 45.81802]]]}", | ||
398 | "spatial_info": "Switzerland", | 398 | "spatial_info": "Switzerland", | ||
399 | "state": "active", | 399 | "state": "active", | ||
400 | "subtitle": "", | 400 | "subtitle": "", | ||
401 | "tags": [ | 401 | "tags": [ | ||
402 | { | 402 | { | ||
403 | "display_name": "GEN3SIS", | 403 | "display_name": "GEN3SIS", | ||
404 | "id": "7fd8733b-4feb-438b-a363-65cb5ce4b52a", | 404 | "id": "7fd8733b-4feb-438b-a363-65cb5ce4b52a", | ||
405 | "name": "GEN3SIS", | 405 | "name": "GEN3SIS", | ||
406 | "state": "active", | 406 | "state": "active", | ||
407 | "vocabulary_id": null | 407 | "vocabulary_id": null | ||
408 | }, | 408 | }, | ||
409 | { | 409 | { | ||
410 | "display_name": "MECHANISTIC MODELING", | 410 | "display_name": "MECHANISTIC MODELING", | ||
411 | "id": "64a80515-5864-4aee-9311-9fa9b13b8b5c", | 411 | "id": "64a80515-5864-4aee-9311-9fa9b13b8b5c", | ||
412 | "name": "MECHANISTIC MODELING", | 412 | "name": "MECHANISTIC MODELING", | ||
413 | "state": "active", | 413 | "state": "active", | ||
414 | "vocabulary_id": null | 414 | "vocabulary_id": null | ||
415 | }, | 415 | }, | ||
416 | { | 416 | { | ||
417 | "display_name": "PALEOCLIMATE", | 417 | "display_name": "PALEOCLIMATE", | ||
418 | "id": "5b2c5931-065b-49a9-89a4-b082eaf78e0e", | 418 | "id": "5b2c5931-065b-49a9-89a4-b082eaf78e0e", | ||
419 | "name": "PALEOCLIMATE", | 419 | "name": "PALEOCLIMATE", | ||
420 | "state": "active", | 420 | "state": "active", | ||
421 | "vocabulary_id": null | 421 | "vocabulary_id": null | ||
422 | }, | 422 | }, | ||
423 | { | 423 | { | ||
424 | "display_name": "PANTROPICAL DIVERSITY DISPARITY", | 424 | "display_name": "PANTROPICAL DIVERSITY DISPARITY", | ||
425 | "id": "c1a2995c-32b5-4bb6-9de7-e1f29e697791", | 425 | "id": "c1a2995c-32b5-4bb6-9de7-e1f29e697791", | ||
426 | "name": "PANTROPICAL DIVERSITY DISPARITY", | 426 | "name": "PANTROPICAL DIVERSITY DISPARITY", | ||
427 | "state": "active", | 427 | "state": "active", | ||
428 | "vocabulary_id": null | 428 | "vocabulary_id": null | ||
429 | }, | 429 | }, | ||
430 | { | 430 | { | ||
431 | "display_name": "PLATE TECTONICS", | 431 | "display_name": "PLATE TECTONICS", | ||
432 | "id": "747956ea-3953-4a5e-b63e-0eb7620dea9e", | 432 | "id": "747956ea-3953-4a5e-b63e-0eb7620dea9e", | ||
433 | "name": "PLATE TECTONICS", | 433 | "name": "PLATE TECTONICS", | ||
434 | "state": "active", | 434 | "state": "active", | ||
435 | "vocabulary_id": null | 435 | "vocabulary_id": null | ||
436 | } | 436 | } | ||
437 | ], | 437 | ], | ||
438 | "title": "Data from: Earth history events shaped the evolution of | 438 | "title": "Data from: Earth history events shaped the evolution of | ||
439 | uneven biodiversity across tropical moist forests", | 439 | uneven biodiversity across tropical moist forests", | ||
440 | "type": "dataset", | 440 | "type": "dataset", | ||
441 | "url": null, | 441 | "url": null, | ||
442 | "version": "1.0" | 442 | "version": "1.0" | ||
443 | } | 443 | } |