Changes
On September 15, 2021 at 12:00:17 PM UTC, Alexander Skeels:
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Set author of Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests to [{"affiliation": "German Centre for Integrative Biodiversity Research Halle\u2013Jena\u2013Leipzig", "affiliation_02": "ETH Zurich", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication"], "email": "oskar@hagen.bio", "given_name": "Oskar", "identifier": "0000-0002-7931-6571", "name": "Hagen"}, {"affiliation": "Swiss Federal Research Institute for Forest, Snow and Landscape (WSL)", "affiliation_02": "ETH Zurich", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication"], "email": "alexander.skeels@usys.ethz.ch", "given_name": "Alexander", "identifier": "", "name": "Skeels"}, {"affiliation": "German Centre for Integrative Biodiversity Research Halle\u2013Jena\u2013Leipzig", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "publication"], "email": "renske.onstein@idiv.de", "given_name": "Renske", "identifier": "0000-0002-2295-3510", "name": "Onstein"}, {"affiliation": "Department of Ecology and Evolutionary Biology, Yale University", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "validation", "publication"], "email": "walter.jetz@yale.edu", "given_name": "Walter", "identifier": "0000-0002-1971-7277", "name": "Jetz"}, {"affiliation": "ETH Zurich", "affiliation_02": "Swiss Federal Research Institute for Forest, Snow and Landscape (WSL)", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication", "supervision"], "email": "loic.pellissier@usys.ethz.ch", "given_name": "Loic", "identifier": "", "name": "Pellissier"}] (previously [{"affiliation": "Swiss Federal Research Institute for Forest, Snow and Landscape (WSL)", "affiliation_02": "ETH Zurich", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication"], "email": "alexander.skeels@usys.ethz.ch", "given_name": "Alexander", "identifier": "", "name": "Skeels"}, {"affiliation": "German Centre for Integrative Biodiversity Research Halle\u2013Jena\u2013Leipzig", "affiliation_02": "ETH Zurich", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication"], "email": "oskar@hagen.bio", "given_name": "Oskar", "identifier": "0000-0002-7931-6571", "name": "Hagen"}, {"affiliation": "ETH Zurich", "affiliation_02": "Swiss Federal Research Institute for Forest, Snow and Landscape (WSL)", "affiliation_03": "", "data_credit": ["collection", "validation", "curation", "software", "publication", "supervision"], "email": "loic.pellissier@usys.ethz.ch", "given_name": "Loic", "identifier": "", "name": "Pellissier"}, {"affiliation": "German Centre for Integrative Biodiversity Research Halle\u2013Jena\u2013Leipzig", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "publication"], "email": "renske.onstein@idiv.de", "given_name": "Renske", "identifier": "0000-0002-2295-3510", "name": "Onstein"}, {"affiliation": "Department of Ecology and Evolutionary Biology, Yale University", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "validation", "publication"], "email": "walter.jetz@yale.edu", "given_name": "Walter", "identifier": "0000-0002-1971-7277", "name": "Jetz"}])
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Moved Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests from https://www.envidat.ch/dataset/data-from-hagen_etal_pnas to https://www.envidat.ch/dataset/data-from-hagen_skeels_etal_2021_pnas
f | 1 | { | f | 1 | { |
n | 2 | "author": "[{\"affiliation\": \"Swiss Federal Research Institute for | n | 2 | "author": "[{\"affiliation\": \"German Centre for Integrative |
3 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | ||||
4 | \"affiliation_02\": \"ETH Zurich\", \"affiliation_03\": \"\", | ||||
5 | \"data_credit\": [\"collection\", \"validation\", \"curation\", | ||||
6 | \"software\", \"publication\"], \"email\": \"oskar@hagen.bio\", | ||||
7 | \"given_name\": \"Oskar\", \"identifier\": \"0000-0002-7931-6571\", | ||||
8 | \"name\": \"Hagen\"}, {\"affiliation\": \"Swiss Federal Research | ||||
3 | Forest, Snow and Landscape (WSL)\", \"affiliation_02\": \"ETH | 9 | Institute for Forest, Snow and Landscape (WSL)\", \"affiliation_02\": | ||
4 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 10 | \"ETH Zurich\", \"affiliation_03\": \"\", \"data_credit\": | ||
5 | \"validation\", \"curation\", \"software\", \"publication\"], | 11 | [\"collection\", \"validation\", \"curation\", \"software\", | ||
6 | \"email\": \"alexander.skeels@usys.ethz.ch\", \"given_name\": | 12 | \"publication\"], \"email\": \"alexander.skeels@usys.ethz.ch\", | ||
7 | \"Alexander\", \"identifier\": \"\", \"name\": \"Skeels\"}, | ||||
8 | {\"affiliation\": \"German Centre for Integrative Biodiversity | ||||
9 | Research Halle\\u2013Jena\\u2013Leipzig\", \"affiliation_02\": \"ETH | ||||
10 | Zurich\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||||
11 | \"validation\", \"curation\", \"software\", \"publication\"], | ||||
12 | \"email\": \"oskar@hagen.bio\", \"given_name\": \"Oskar\", | ||||
13 | \"identifier\": \"0000-0002-7931-6571\", \"name\": \"Hagen\"}, | ||||
14 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | ||||
15 | Research Institute for Forest, Snow and Landscape (WSL)\", | ||||
16 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||||
17 | \"validation\", \"curation\", \"software\", \"publication\", | ||||
18 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | ||||
19 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | 13 | \"given_name\": \"Alexander\", \"identifier\": \"\", \"name\": | ||
20 | \"Pellissier\"}, {\"affiliation\": \"German Centre for Integrative | 14 | \"Skeels\"}, {\"affiliation\": \"German Centre for Integrative | ||
21 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | 15 | Biodiversity Research Halle\\u2013Jena\\u2013Leipzig\", | ||
22 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 16 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
23 | [\"collection\", \"publication\"], \"email\": | 17 | [\"collection\", \"publication\"], \"email\": | ||
24 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | 18 | \"renske.onstein@idiv.de\", \"given_name\": \"Renske\", | ||
25 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | 19 | \"identifier\": \"0000-0002-2295-3510\", \"name\": \"Onstein\"}, | ||
26 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | 20 | {\"affiliation\": \"Department of Ecology and Evolutionary Biology, | ||
27 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 21 | Yale University\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
28 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | 22 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | ||
29 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | 23 | \"email\": \"walter.jetz@yale.edu\", \"given_name\": \"Walter\", | ||
n | 30 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}]", | n | 24 | \"identifier\": \"0000-0002-1971-7277\", \"name\": \"Jetz\"}, |
25 | {\"affiliation\": \"ETH Zurich\", \"affiliation_02\": \"Swiss Federal | ||||
26 | Research Institute for Forest, Snow and Landscape (WSL)\", | ||||
27 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||||
28 | \"validation\", \"curation\", \"software\", \"publication\", | ||||
29 | \"supervision\"], \"email\": \"loic.pellissier@usys.ethz.ch\", | ||||
30 | \"given_name\": \"Loic\", \"identifier\": \"\", \"name\": | ||||
31 | \"Pellissier\"}]", | ||||
31 | "author_email": null, | 32 | "author_email": null, | ||
32 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | 33 | "creator_user_id": "93fd6aa4-4bae-4c26-9561-c54eb9142d42", | ||
33 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | 34 | "date": "[{\"date\": \"2020-04-15\", \"date_type\": \"collected\", | ||
34 | \"end_date\": \"2021-09-15\"}]", | 35 | \"end_date\": \"2021-09-15\"}]", | ||
35 | "doi": "", | 36 | "doi": "", | ||
36 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | 37 | "funding": "[{\"grant_number\": \"310030-188550\", \"institution\": | ||
37 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | 38 | \"Schweizerischer Nationalfonds zur F\u00f6rderung der | ||
38 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | 39 | Wissenschaftlichen Forschung\", \"institution_url\": \"\"}]", | ||
39 | "groups": [], | 40 | "groups": [], | ||
40 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 41 | "id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
41 | "isopen": false, | 42 | "isopen": false, | ||
42 | "language": "en", | 43 | "language": "en", | ||
43 | "license_id": "wsl-data", | 44 | "license_id": "wsl-data", | ||
44 | "license_title": "WSL Data Policy", | 45 | "license_title": "WSL Data Policy", | ||
45 | "license_url": | 46 | "license_url": | ||
46 | 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", | ||
47 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | 48 | "maintainer": "{\"affiliation\": \"WSL / ETH\", \"email\": | ||
48 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | 49 | \"loic.pellissier@usys.ethz.ch\", \"given_name\": \"Loic\", | ||
49 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | 50 | \"identifier\": \"\", \"name\": \"Pellissier\"}", | ||
50 | "maintainer_email": null, | 51 | "maintainer_email": null, | ||
51 | "metadata_created": "2021-09-15T11:44:16.660831", | 52 | "metadata_created": "2021-09-15T11:44:16.660831", | ||
t | 52 | "metadata_modified": "2021-09-15T11:55:28.777168", | t | 53 | "metadata_modified": "2021-09-15T12:00:17.420190", |
53 | "name": "data-from-hagen_etal_pnas", | 54 | "name": "data-from-hagen_skeels_etal_2021_pnas", | ||
54 | "notes": "Datasets and R scripts | 55 | "notes": "Datasets and R scripts | ||
55 | \r\n\r\n~~~~~Datasets\r\n\r\nDataset_S1.csv includes species diversity | 56 | \r\n\r\n~~~~~Datasets\r\n\r\nDataset_S1.csv includes species diversity | ||
56 | counts for 237 clades in tropical moist forests (TMF) in the | 57 | counts for 237 clades in tropical moist forests (TMF) in the | ||
57 | Neotropics (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | 58 | Neotropics (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics | ||
58 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | 59 | (AfrotropicalTMF), All three TMF regions together (AllTMF), all | ||
59 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | 60 | non-TMF regions (NonTMF), and in total (Total). As well as whether the | ||
60 | clade is pantropical (Pantropical_clade) and shows the pantropical | 61 | clade is pantropical (Pantropical_clade) and shows the pantropical | ||
61 | diversity disparity (PDD_clade). \r\n\r\nDataset_S2.csv: environmental | 62 | diversity disparity (PDD_clade). \r\n\r\nDataset_S2.csv: environmental | ||
62 | and species richness data. Longitude (x), latitude (y), potential | 63 | and species richness data. Longitude (x), latitude (y), potential | ||
63 | evapotranspiration (PET), mean annual temperature (MAT), mean annual | 64 | evapotranspiration (PET), mean annual temperature (MAT), mean annual | ||
64 | precipitation), amphibian, bird, mammal, and reptile species richness, | 65 | precipitation), amphibian, bird, mammal, and reptile species richness, | ||
65 | PC1 and PC2 of environmental PCA and the region. Environmental data | 66 | PC1 and PC2 of environmental PCA and the region. Environmental data | ||
66 | (from CHELSA and ENVIREM) and species richness summarised from | 67 | (from CHELSA and ENVIREM) and species richness summarised from | ||
67 | published data (vertLife, MOL, IUCN, GARD).\r\n\r\nDataset_S3.csv: - | 68 | published data (vertLife, MOL, IUCN, GARD).\r\n\r\nDataset_S3.csv: - | ||
68 | Paleoenvironmental reconstructions (details in the associated SI | 69 | Paleoenvironmental reconstructions (details in the associated SI | ||
69 | appendix) including latitude (y), longitude (x), and temperature data | 70 | appendix) including latitude (y), longitude (x), and temperature data | ||
70 | across 200 myrs at 170 kyr intervals.\r\n\r\nDataset_S4.csv: | 71 | across 200 myrs at 170 kyr intervals.\r\n\r\nDataset_S4.csv: | ||
71 | simulation model parameters and diversity summary statistics. | 72 | simulation model parameters and diversity summary statistics. | ||
72 | Including rate of temperature niche evolution (Tev), temperature niche | 73 | Including rate of temperature niche evolution (Tev), temperature niche | ||
73 | width (TW), divergence threshold (S), Dispersal probability | 74 | width (TW), divergence threshold (S), Dispersal probability | ||
74 | distribution shape (WeibullShape) and information on number of extinct | 75 | distribution shape (WeibullShape) and information on number of extinct | ||
75 | species, number of extant species, total species, Spearman correlation | 76 | species, number of extant species, total species, Spearman correlation | ||
76 | coefficient between absolute latitude and species richness | 77 | coefficient between absolute latitude and species richness | ||
77 | (latitude_richness_cor), and diversity in the Neotropics, Indomalaya, | 78 | (latitude_richness_cor), and diversity in the Neotropics, Indomalaya, | ||
78 | Afrotropics. Also, whether the simulation generated pantropical | 79 | Afrotropics. Also, whether the simulation generated pantropical | ||
79 | distribution of species (pantropicality_index), or the pantropical | 80 | distribution of species (pantropicality_index), or the pantropical | ||
80 | diversity disparity (PDD_index). Finally what time step the simulation | 81 | diversity disparity (PDD_index). Finally what time step the simulation | ||
81 | exited at (0 for complete simulations).\r\n\r\nDataset_S5.csv: Net | 82 | exited at (0 for complete simulations).\r\n\r\nDataset_S5.csv: Net | ||
82 | relatedness index (NRI) in three tropical moist forest regions and | 83 | relatedness index (NRI) in three tropical moist forest regions and | ||
83 | associated p-values for pantropically distributed | 84 | associated p-values for pantropically distributed | ||
84 | taxa.\r\n\r\n~~~~~Scripts\r\n\r\nGen3sis_config_creator.R and | 85 | taxa.\r\n\r\n~~~~~Scripts\r\n\r\nGen3sis_config_creator.R and | ||
85 | Gen3sis_config_template.R scripts generate the configurations files to | 86 | Gen3sis_config_template.R scripts generate the configurations files to | ||
86 | run the simulation experiment.\r\n\r\nGLS.R R script to replicate the | 87 | run the simulation experiment.\r\n\r\nGLS.R R script to replicate the | ||
87 | linear modelling analyses.\r\n\r\n", | 88 | linear modelling analyses.\r\n\r\n", | ||
88 | "num_resources": 5, | 89 | "num_resources": 5, | ||
89 | "num_tags": 5, | 90 | "num_tags": 5, | ||
90 | "organization": { | 91 | "organization": { | ||
91 | "approval_status": "approved", | 92 | "approval_status": "approved", | ||
92 | "created": "2018-12-01T11:42:44.590217", | 93 | "created": "2018-12-01T11:42:44.590217", | ||
93 | "description": "Our laboratory aims at understanding and | 94 | "description": "Our laboratory aims at understanding and | ||
94 | forecasting the response of biodiversity to landscape changes. We | 95 | forecasting the response of biodiversity to landscape changes. We | ||
95 | investigate the historical responses of species to past changes such | 96 | investigate the historical responses of species to past changes such | ||
96 | as plate tectonics or the glaciations of the Quaternary and | 97 | as plate tectonics or the glaciations of the Quaternary and | ||
97 | contemporary responses to ongoing global changes. We develop spatial | 98 | contemporary responses to ongoing global changes. We develop spatial | ||
98 | mechanistic models of biodiversity that account for processes such as | 99 | mechanistic models of biodiversity that account for processes such as | ||
99 | dispersal and biotic interactions.", | 100 | dispersal and biotic interactions.", | ||
100 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 101 | "id": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
101 | "image_url": | 102 | "image_url": | ||
102 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | 103 | ww.ites.ethz.ch/_jcr_content/orgLogo.imageformat.logo.1518520524.jpg", | ||
103 | "is_organization": true, | 104 | "is_organization": true, | ||
104 | "name": "landscape-ecology", | 105 | "name": "landscape-ecology", | ||
105 | "state": "active", | 106 | "state": "active", | ||
106 | "title": "Landscape Ecology", | 107 | "title": "Landscape Ecology", | ||
107 | "type": "organization" | 108 | "type": "organization" | ||
108 | }, | 109 | }, | ||
109 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | 110 | "owner_org": "3b0fde83-e15c-4f8b-a451-9778f5309a84", | ||
110 | "private": false, | 111 | "private": false, | ||
111 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 112 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
112 | \"EnviDat\"}", | 113 | \"EnviDat\"}", | ||
113 | "publication_state": "", | 114 | "publication_state": "", | ||
114 | "related_datasets": "", | 115 | "related_datasets": "", | ||
115 | "related_publications": "", | 116 | "related_publications": "", | ||
116 | "relationships_as_object": [], | 117 | "relationships_as_object": [], | ||
117 | "relationships_as_subject": [], | 118 | "relationships_as_subject": [], | ||
118 | "resource_type": "dataset", | 119 | "resource_type": "dataset", | ||
119 | "resource_type_general": "dataset", | 120 | "resource_type_general": "dataset", | ||
120 | "resources": [ | 121 | "resources": [ | ||
121 | { | 122 | { | ||
122 | "cache_last_updated": null, | 123 | "cache_last_updated": null, | ||
123 | "cache_url": null, | 124 | "cache_url": null, | ||
124 | "created": "2021-09-15T11:45:27.749059", | 125 | "created": "2021-09-15T11:45:27.749059", | ||
125 | "description": "Gen3sis_config_creator.R and | 126 | "description": "Gen3sis_config_creator.R and | ||
126 | Gen3sis_config_template.R scripts generate the configurations files to | 127 | Gen3sis_config_template.R scripts generate the configurations files to | ||
127 | run the simulation experiment.", | 128 | run the simulation experiment.", | ||
128 | "doi": "", | 129 | "doi": "", | ||
129 | "format": "R", | 130 | "format": "R", | ||
130 | "hash": "", | 131 | "hash": "", | ||
131 | "id": "a571cd80-2302-4fd8-aa60-2c3176654bb5", | 132 | "id": "a571cd80-2302-4fd8-aa60-2c3176654bb5", | ||
132 | "last_modified": null, | 133 | "last_modified": null, | ||
133 | "metadata_modified": "2021-09-15T11:45:27.723569", | 134 | "metadata_modified": "2021-09-15T11:45:27.723569", | ||
134 | "mimetype": null, | 135 | "mimetype": null, | ||
135 | "mimetype_inner": null, | 136 | "mimetype_inner": null, | ||
136 | "name": "Gen3sis config creator", | 137 | "name": "Gen3sis config creator", | ||
137 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | 138 | "package_id": "b7783edd-a5bc-4854-8e7d-1698afc875b9", | ||
138 | "position": 0, | 139 | "position": 0, | ||
139 | "publication_state": "", | 140 | "publication_state": "", | ||
140 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 141 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
141 | \"kb\"}", | 142 | \"kb\"}", | ||
142 | "resource_type": null, | 143 | "resource_type": null, | ||
143 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 144 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
144 | \"shared_secret\": \"\"}", | 145 | \"shared_secret\": \"\"}", | ||
145 | "size": 3070, | 146 | "size": 3070, | ||
146 | "state": "active", | 147 | "state": "active", | ||
147 | "url": | 148 | "url": | ||
148 | 71cd80-2302-4fd8-aa60-2c3176654bb5/download/gen3sis_config_creator.r", | 149 | 71cd80-2302-4fd8-aa60-2c3176654bb5/download/gen3sis_config_creator.r", | ||
149 | "url_type": "upload" | 150 | "url_type": "upload" | ||
150 | }, | 151 | }, | ||
151 | { | 152 | { | ||
152 | "cache_last_updated": null, | 153 | "cache_last_updated": null, | ||
153 | "cache_url": null, | 154 | "cache_url": null, | ||
154 | "created": "2021-09-15T11:48:21.670609", | 155 | "created": "2021-09-15T11:48:21.670609", | ||
155 | "description": "Zip folder containing:\r\n\r\nDataset_S1.csv: | 156 | "description": "Zip folder containing:\r\n\r\nDataset_S1.csv: | ||
156 | includes species diversity counts for 237 clades in tropical moist | 157 | includes species diversity counts for 237 clades in tropical moist | ||
157 | forests (TMF) in the Neotropics (NeotropicalTMF), Indomalaya | 158 | forests (TMF) in the Neotropics (NeotropicalTMF), Indomalaya | ||
158 | (IndomalayanTMF), Afrotropics (AfrotropicalTMF), All three TMF regions | 159 | (IndomalayanTMF), Afrotropics (AfrotropicalTMF), All three TMF regions | ||
159 | together (AllTMF), all non-TMF regions (NonTMF), and in total (Total). | 160 | together (AllTMF), all non-TMF regions (NonTMF), and in total (Total). | ||
160 | As well as whether the clade is pantropical (Pantropical_clade) and | 161 | As well as whether the clade is pantropical (Pantropical_clade) and | ||
161 | shows the pantropical diversity disparity (PDD_clade). | 162 | shows the pantropical diversity disparity (PDD_clade). | ||
162 | \r\nDataset_S2.csv: environmental and species richness data. Longitude | 163 | \r\nDataset_S2.csv: environmental and species richness data. Longitude | ||
163 | (x), latitude (y), potential evapotranspiration (PET), mean annual | 164 | (x), latitude (y), potential evapotranspiration (PET), mean annual | ||
164 | temperature (MAT), mean annual precipitation), amphibian, bird, | 165 | temperature (MAT), mean annual precipitation), amphibian, bird, | ||
165 | mammal, and reptile species richness, PC1 and PC2 of environmental PCA | 166 | mammal, and reptile species richness, PC1 and PC2 of environmental PCA | ||
166 | and the region. Environmental data (from CHELSA and ENVIREM) and | 167 | and the region. Environmental data (from CHELSA and ENVIREM) and | ||
167 | species richness summarised from published data (vertLife, MOL, IUCN, | 168 | species richness summarised from published data (vertLife, MOL, IUCN, | ||
168 | GARD).\r\nDataset_S3.csv: - Paleoenvironmental reconstructions | 169 | GARD).\r\nDataset_S3.csv: - Paleoenvironmental reconstructions | ||
169 | (details in the associated SI appendix) including latitude (y), | 170 | (details in the associated SI appendix) including latitude (y), | ||
170 | longitude (x), and temperature data across 200 myrs at 170 kyr | 171 | longitude (x), and temperature data across 200 myrs at 170 kyr | ||
171 | intervals.\r\nDataset_S4.csv: simulation model parameters and | 172 | intervals.\r\nDataset_S4.csv: simulation model parameters and | ||
172 | diversity summary statistics. Including rate of temperature niche | 173 | diversity summary statistics. Including rate of temperature niche | ||
173 | evolution (Tev), temperature niche width (TW), divergence threshold | 174 | evolution (Tev), temperature niche width (TW), divergence threshold | ||
174 | (S), Dispersal probability distribution shape (WeibullShape) and | 175 | (S), Dispersal probability distribution shape (WeibullShape) and | ||
175 | information on number of extinct species, number of extant species, | 176 | information on number of extinct species, number of extant species, | ||
176 | total species, Spearman correlation coefficient between absolute | 177 | total species, Spearman correlation coefficient between absolute | ||
177 | latitude and species richness (latitude_richness_cor), and diversity | 178 | latitude and species richness (latitude_richness_cor), and diversity | ||
178 | in the Neotropics, Indomalaya, Afrotropics. Also, whether the | 179 | in the Neotropics, Indomalaya, Afrotropics. Also, whether the | ||
179 | simulation generated pantropical distribution of species | 180 | simulation generated pantropical distribution of species | ||
180 | (pantropicality_index), or the pantropical diversity disparity | 181 | (pantropicality_index), or the pantropical diversity disparity | ||
181 | (PDD_index). Finally what time step the simulation exited at (0 for | 182 | (PDD_index). Finally what time step the simulation exited at (0 for | ||
182 | complete simulations).\r\nDataset_S5.csv: Net relatedness index (NRI) | 183 | complete simulations).\r\nDataset_S5.csv: Net relatedness index (NRI) | ||
183 | in three tropical moist forest regions and associated p-values for | 184 | in three tropical moist forest regions and associated p-values for | ||
184 | pantropically distributed taxa.\r\nGen3sis_config_creator.R and | 185 | pantropically distributed taxa.\r\nGen3sis_config_creator.R and | ||
185 | Gen3sis_config_template.R scripts generate the configurations files to | 186 | Gen3sis_config_template.R scripts generate the configurations files to | ||
186 | run the simulation experiment.\r\nGLS.R R script to replicate the | 187 | run the simulation experiment.\r\nGLS.R R script to replicate the | ||
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341 | "title": "Data from: Earth history events shaped the evolution of | 342 | "title": "Data from: Earth history events shaped the evolution of | ||
342 | uneven biodiversity across tropical moist forests", | 343 | uneven biodiversity across tropical moist forests", | ||
343 | "type": "dataset", | 344 | "type": "dataset", | ||
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346 | } | 347 | } |