Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ...
In order to better describe both ancient and contemporary migratory flows associated with the North Atlantic abyssal fauna as part of the EC H2020 iAtlantic project, this dataset provides a collection of connectivity maps for several engineer species from hydrothermal springs on the Mid-Atlantic Rid...
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Online Access: | https://dx.doi.org/10.1594/pangaea.961199 https://doi.pangaea.de/10.1594/PANGAEA.961199 |
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ftdatacite:10.1594/pangaea.961199 2024-03-31T07:54:11+00:00 Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... Jollivet, Didier Portanier, Elodie Tran Lu Y, Adrien Arnaud-Haond, Sophie 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.961199 https://doi.pangaea.de/10.1594/PANGAEA.961199 en eng PANGAEA Data access is restricted (moratorium, sensitive data, license constraints) Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 connectivity maps deep corals genomic data North Atlantic population genetics seep mussels vent fauna Binary Object Binary Object Media Type Binary Object File Size File content Model Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.961199 2024-03-04T14:19:23Z In order to better describe both ancient and contemporary migratory flows associated with the North Atlantic abyssal fauna as part of the EC H2020 iAtlantic project, this dataset provides a collection of connectivity maps for several engineer species from hydrothermal springs on the Mid-Atlantic Ridge, from mussels of cold seeps on both sides of the Atlantic and, from deep-water corals in the NE Atlantic. These maps and the associated migrant flow matrices are derived from several demogenetic model analyses (dadi, moments and divmigrate) using multi-locus genotype data derived from a sub-sampling of the genomes of these target species. For each species, the dataset includes a series of shapefiles with a pdf map, the file of the geographic coordinates of the studied localities with a flow matrix, as well as the file of the multi-locus genotypes used to carry out the genetic analysis of the populations and establish the migratory flows. ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Mid-Atlantic Ridge |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
connectivity maps deep corals genomic data North Atlantic population genetics seep mussels vent fauna Binary Object Binary Object Media Type Binary Object File Size File content Model Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic |
spellingShingle |
connectivity maps deep corals genomic data North Atlantic population genetics seep mussels vent fauna Binary Object Binary Object Media Type Binary Object File Size File content Model Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic Jollivet, Didier Portanier, Elodie Tran Lu Y, Adrien Arnaud-Haond, Sophie Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
topic_facet |
connectivity maps deep corals genomic data North Atlantic population genetics seep mussels vent fauna Binary Object Binary Object Media Type Binary Object File Size File content Model Integrated Assessment of Atlantic Marine Ecosystems in Space and Time iAtlantic |
description |
In order to better describe both ancient and contemporary migratory flows associated with the North Atlantic abyssal fauna as part of the EC H2020 iAtlantic project, this dataset provides a collection of connectivity maps for several engineer species from hydrothermal springs on the Mid-Atlantic Ridge, from mussels of cold seeps on both sides of the Atlantic and, from deep-water corals in the NE Atlantic. These maps and the associated migrant flow matrices are derived from several demogenetic model analyses (dadi, moments and divmigrate) using multi-locus genotype data derived from a sub-sampling of the genomes of these target species. For each species, the dataset includes a series of shapefiles with a pdf map, the file of the geographic coordinates of the studied localities with a flow matrix, as well as the file of the multi-locus genotypes used to carry out the genetic analysis of the populations and establish the migratory flows. ... |
format |
Dataset |
author |
Jollivet, Didier Portanier, Elodie Tran Lu Y, Adrien Arnaud-Haond, Sophie |
author_facet |
Jollivet, Didier Portanier, Elodie Tran Lu Y, Adrien Arnaud-Haond, Sophie |
author_sort |
Jollivet, Didier |
title |
Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
title_short |
Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
title_full |
Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
title_fullStr |
Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
title_full_unstemmed |
Genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the North Atlantic ... |
title_sort |
genetic connectivity maps for deep sea vent and cold-seep fauna and cold-water corals from the north atlantic ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.961199 https://doi.pangaea.de/10.1594/PANGAEA.961199 |
geographic |
Mid-Atlantic Ridge |
geographic_facet |
Mid-Atlantic Ridge |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_rights |
Data access is restricted (moratorium, sensitive data, license constraints) Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.961199 |
_version_ |
1795034855646429184 |