Changes
On September 27, 2023 at 2:07:26 PM UTC, Merin Reji Chacko:
-
Moved Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests from organization Landscape Ecology to organization Ecosystems and Landscape Evolution
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": "2021-09-16T13:10:25.693489", | n | 53 | "metadata_modified": "2023-09-27T14:07:26.564567", |
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", | ||
n | 96 | "created": "2018-12-01T11:42:44.590217", | n | 96 | "created": "2018-12-01T11:59:01.791513", |
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.", | ||
n | 104 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | n | 104 | "id": "153392ee-d556-4b16-a330-dedb177e87f9", |
105 | "image_url": | 105 | "image_url": "2018-12-01-105921.8275952000px-LogoWSL.svg.png", | ||
106 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | ||||
107 | "is_organization": true, | 106 | "is_organization": true, | ||
n | 108 | "name": "landscape-ecology", | n | 107 | "name": "ele-group", |
109 | "state": "active", | 108 | "state": "active", | ||
n | 110 | "title": "Landscape Ecology", | n | 109 | "title": "Ecosystems and Landscape Evolution", |
111 | "type": "organization" | 110 | "type": "organization" | ||
112 | }, | 111 | }, | ||
t | 113 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | t | 112 | "owner_org": "153392ee-d556-4b16-a330-dedb177e87f9", |
114 | "private": false, | 113 | "private": false, | ||
115 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 114 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
116 | \"EnviDat\"}", | 115 | \"EnviDat\"}", | ||
117 | "publication_state": "published", | 116 | "publication_state": "published", | ||
118 | "related_datasets": "", | 117 | "related_datasets": "", | ||
119 | "related_publications": "", | 118 | "related_publications": "", | ||
120 | "relationships_as_object": [], | 119 | "relationships_as_object": [], | ||
121 | "relationships_as_subject": [], | 120 | "relationships_as_subject": [], | ||
122 | "resource_type": "dataset", | 121 | "resource_type": "dataset", | ||
123 | "resource_type_general": "dataset", | 122 | "resource_type_general": "dataset", | ||
124 | "resources": [ | 123 | "resources": [ | ||
125 | { | 124 | { | ||
126 | "cache_last_updated": null, | 125 | "cache_last_updated": null, | ||
127 | "cache_url": null, | 126 | "cache_url": null, | ||
128 | "created": "2021-09-16T12:40:02.618580", | 127 | "created": "2021-09-16T12:40:02.618580", | ||
129 | "description": "Dataset_S1.csv includes species diversity counts | 128 | "description": "Dataset_S1.csv includes species diversity counts | ||
130 | for 237 clades in tropical moist forests (TMF) in the Neotropics | 129 | for 237 clades in tropical moist forests (TMF) in the Neotropics | ||
131 | (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | 130 | (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | ||
132 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | 131 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | ||
133 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | 132 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | ||
134 | clade is pantropical (Pantropical_clade) and shows the pantropical | 133 | clade is pantropical (Pantropical_clade) and shows the pantropical | ||
135 | diversity disparity (PDD_clade). Pantropical clades are found in all | 134 | diversity disparity (PDD_clade). Pantropical clades are found in all | ||
136 | three TMF regions with at least one-third of the clades\u2019 total | 135 | three TMF regions with at least one-third of the clades\u2019 total | ||
137 | diversity spread throughout these regions. Pantropical diversity | 136 | diversity spread throughout these regions. Pantropical diversity | ||
138 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | 137 | disparity (PDD) clades show lower diversity in TMF in the Afrotropics | ||
139 | than in the Neotropics and Indomalaya.", | 138 | than in the Neotropics and Indomalaya.", | ||
140 | "doi": "", | 139 | "doi": "", | ||
141 | "format": ".csv", | 140 | "format": ".csv", | ||
142 | "hash": "", | 141 | "hash": "", | ||
143 | "id": "dfbd6861-c745-4bf2-8988-3ddd790bcaad", | 142 | "id": "dfbd6861-c745-4bf2-8988-3ddd790bcaad", | ||
144 | "last_modified": null, | 143 | "last_modified": null, | ||
145 | "metadata_modified": "2021-09-16T12:56:47.402811", | 144 | "metadata_modified": "2021-09-16T12:56:47.402811", | ||
146 | "mimetype": null, | 145 | "mimetype": null, | ||
147 | "mimetype_inner": null, | 146 | "mimetype_inner": null, | ||
148 | "name": "Dataset_S1", | 147 | "name": "Dataset_S1", | ||
149 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 148 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
150 | "position": 0, | 149 | "position": 0, | ||
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152 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 151 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
153 | \"\"}", | 152 | \"\"}", | ||
154 | "resource_type": null, | 153 | "resource_type": null, | ||
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156 | \"shared_secret\": \"\"}", | 155 | \"shared_secret\": \"\"}", | ||
157 | "size": 8409, | 156 | "size": 8409, | ||
158 | "state": "active", | 157 | "state": "active", | ||
159 | "url": | 158 | "url": | ||
160 | esource/dfbd6861-c745-4bf2-8988-3ddd790bcaad/download/dataset_s1.csv", | 159 | esource/dfbd6861-c745-4bf2-8988-3ddd790bcaad/download/dataset_s1.csv", | ||
161 | "url_type": "upload" | 160 | "url_type": "upload" | ||
162 | }, | 161 | }, | ||
163 | { | 162 | { | ||
164 | "cache_last_updated": null, | 163 | "cache_last_updated": null, | ||
165 | "cache_url": null, | 164 | "cache_url": null, | ||
166 | "created": "2021-09-16T12:40:52.497633", | 165 | "created": "2021-09-16T12:40:52.497633", | ||
167 | "description": "Dataset_S2.csv: Environmental and species | 166 | "description": "Dataset_S2.csv: Environmental and species | ||
168 | richness data across 110 km x 110 km grid cells in Neotropical, | 167 | richness data across 110 km x 110 km grid cells in Neotropical, | ||
169 | Indomalayan and Afrotropical moist forest sites. Variables include x | 168 | Indomalayan and Afrotropical moist forest sites. Variables include x | ||
170 | and y coordinates in the Behrmann equal area coordinate reference | 169 | and y coordinates in the Behrmann equal area coordinate reference | ||
171 | system, potential evapotranspiration (PET), mean annual temperature | 170 | system, potential evapotranspiration (PET), mean annual temperature | ||
172 | (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and | 171 | (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and | ||
173 | squamate reptile species richness and biogeographic region, as well as | 172 | squamate reptile species richness and biogeographic region, as well as | ||
174 | the first two principal components of a principal component analysis | 173 | the first two principal components of a principal component analysis | ||
175 | on PET, MAT and MAP (PC1, PC2). Environmental data is from CHELSA and | 174 | on PET, MAT and MAP (PC1, PC2). Environmental data is from CHELSA and | ||
176 | ENVIREM and species richness summarised from published data (vertLife, | 175 | ENVIREM and species richness summarised from published data (vertLife, | ||
177 | MOL, IUCN, GARD).", | 176 | MOL, IUCN, GARD).", | ||
178 | "doi": "", | 177 | "doi": "", | ||
179 | "format": ".csv", | 178 | "format": ".csv", | ||
180 | "hash": "", | 179 | "hash": "", | ||
181 | "id": "ec608c8b-edbc-40f8-8e11-bfa9d6462923", | 180 | "id": "ec608c8b-edbc-40f8-8e11-bfa9d6462923", | ||
182 | "last_modified": null, | 181 | "last_modified": null, | ||
183 | "metadata_modified": "2021-09-16T12:57:45.811414", | 182 | "metadata_modified": "2021-09-16T12:57:45.811414", | ||
184 | "mimetype": null, | 183 | "mimetype": null, | ||
185 | "mimetype_inner": null, | 184 | "mimetype_inner": null, | ||
186 | "name": "Dataset_S2", | 185 | "name": "Dataset_S2", | ||
187 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 186 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
188 | "position": 1, | 187 | "position": 1, | ||
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194 | \"shared_secret\": \"\"}", | 193 | \"shared_secret\": \"\"}", | ||
195 | "size": 207900, | 194 | "size": 207900, | ||
196 | "state": "active", | 195 | "state": "active", | ||
197 | "url": | 196 | "url": | ||
198 | esource/ec608c8b-edbc-40f8-8e11-bfa9d6462923/download/dataset_s2.csv", | 197 | esource/ec608c8b-edbc-40f8-8e11-bfa9d6462923/download/dataset_s2.csv", | ||
199 | "url_type": "upload" | 198 | "url_type": "upload" | ||
200 | }, | 199 | }, | ||
201 | { | 200 | { | ||
202 | "cache_last_updated": null, | 201 | "cache_last_updated": null, | ||
203 | "cache_url": null, | 202 | "cache_url": null, | ||
204 | "created": "2021-09-16T12:41:24.073089", | 203 | "created": "2021-09-16T12:41:24.073089", | ||
205 | "description": "Dataset_S3.csv: - Paleoenvironmental | 204 | "description": "Dataset_S3.csv: - Paleoenvironmental | ||
206 | reconstructions (details in the associated SI appendix) including | 205 | reconstructions (details in the associated SI appendix) including | ||
207 | latitude (y), longitude (x), and temperature data across 200 myrs at | 206 | latitude (y), longitude (x), and temperature data across 200 myrs at | ||
208 | 170 kyr intervals.", | 207 | 170 kyr intervals.", | ||
209 | "doi": "", | 208 | "doi": "", | ||
210 | "format": ".csv", | 209 | "format": ".csv", | ||
211 | "hash": "", | 210 | "hash": "", | ||
212 | "id": "140b8a2f-120f-4975-afe6-e40927f50442", | 211 | "id": "140b8a2f-120f-4975-afe6-e40927f50442", | ||
213 | "last_modified": null, | 212 | "last_modified": null, | ||
214 | "metadata_modified": "2021-09-16T12:41:24.046517", | 213 | "metadata_modified": "2021-09-16T12:41:24.046517", | ||
215 | "mimetype": null, | 214 | "mimetype": null, | ||
216 | "mimetype_inner": null, | 215 | "mimetype_inner": null, | ||
217 | "name": "Dataset_S3", | 216 | "name": "Dataset_S3", | ||
218 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 217 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
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236 | "description": "Dataset_S4.csv: simulation model parameters and | 235 | "description": "Dataset_S4.csv: simulation model parameters and | ||
237 | diversity summary statistics. Including rate of temperature niche | 236 | diversity summary statistics. Including rate of temperature niche | ||
238 | evolution (Tev), temperature niche width (TW), divergence threshold | 237 | evolution (Tev), temperature niche width (TW), divergence threshold | ||
239 | (S), Dispersal probability distribution shape (WeibullShape), model | 238 | (S), Dispersal probability distribution shape (WeibullShape), model | ||
240 | identifier (model), and random seed (seed). Also includes information | 239 | identifier (model), and random seed (seed). Also includes information | ||
241 | on number of extinct species (n_extinct), number of extant species | 240 | on number of extinct species (n_extinct), number of extant species | ||
242 | (n_extant), total species (total_diversity), Spearman correlation | 241 | (n_extant), total species (total_diversity), Spearman correlation | ||
243 | coefficient between absolute latitude and species richness | 242 | coefficient between absolute latitude and species richness | ||
244 | (latitude_richness_cor), and diversity in the Neotropics | 243 | (latitude_richness_cor), and diversity in the Neotropics | ||
245 | (neotropical_diversity), Indomalaya (indomalayan_diversity), | 244 | (neotropical_diversity), Indomalaya (indomalayan_diversity), | ||
246 | Afrotropics (afrotropical_diversity). Also, whether the simulation | 245 | Afrotropics (afrotropical_diversity). Also, whether the simulation | ||
247 | generated pantropical distribution of species (pantropicality_index), | 246 | generated pantropical distribution of species (pantropicality_index), | ||
248 | or the pantropical diversity disparity (PDD_index). Finally what time | 247 | or the pantropical diversity disparity (PDD_index). Finally what time | ||
249 | step the simulation exited at (0 for complete simulations) and the | 248 | step the simulation exited at (0 for complete simulations) and the | ||
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278 | "description": "Dataset_S5.csv: Net relatedness index (NRI) | 277 | "description": "Dataset_S5.csv: Net relatedness index (NRI) | ||
279 | values for vertebrate clades showing an observed disparity in | 278 | values for vertebrate clades showing an observed disparity in | ||
280 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | 279 | pantropical diversity in the Neotropical, Indomalayan and Afrotropical | ||
281 | moist forest regions and associated P-values. Positive values indicate | 280 | moist forest regions and associated P-values. Positive values indicate | ||
282 | phylogenetic clustering, whereas negative values indicate phylogenetic | 281 | phylogenetic clustering, whereas negative values indicate phylogenetic | ||
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