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The World Spider Trait database: a centralized global open repository for curated data on spider traits
Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until n...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517500/ https://www.ncbi.nlm.nih.gov/pubmed/34651181 http://dx.doi.org/10.1093/database/baab064 |
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author | Pekár, Stano Wolff, Jonas O Černecká, Ľudmila Birkhofer, Klaus Mammola, Stefano Lowe, Elizabeth C Fukushima, Caroline S Herberstein, Marie E Kučera, Adam Buzatto, Bruno A Djoudi, El Aziz Domenech, Marc Enciso, Alison Vanesa Piñanez Espejo, Yolanda M G Febles, Sara García, Luis F Gonçalves-Souza, Thiago Isaia, Marco Lafage, Denis Líznarová, Eva Macías-Hernández, Nuria Magalhães, Ivan Malumbres-Olarte, Jagoba Michálek, Ondřej Michalik, Peter Michalko, Radek Milano, Filippo Munévar, Ana Nentwig, Wolfgang Nicolosi, Giuseppe Painting, Christina J Pétillon, Julien Piano, Elena Privet, Kaïna Ramírez, Martín J Ramos, Cândida Řezáč, Milan Ridel, Aurélien Růžička, Vlastimil Santos, Irene Sentenská, Lenka Walker, Leilani Wierucka, Kaja Zurita, Gustavo Andres Cardoso, Pedro |
author_facet | Pekár, Stano Wolff, Jonas O Černecká, Ľudmila Birkhofer, Klaus Mammola, Stefano Lowe, Elizabeth C Fukushima, Caroline S Herberstein, Marie E Kučera, Adam Buzatto, Bruno A Djoudi, El Aziz Domenech, Marc Enciso, Alison Vanesa Piñanez Espejo, Yolanda M G Febles, Sara García, Luis F Gonçalves-Souza, Thiago Isaia, Marco Lafage, Denis Líznarová, Eva Macías-Hernández, Nuria Magalhães, Ivan Malumbres-Olarte, Jagoba Michálek, Ondřej Michalik, Peter Michalko, Radek Milano, Filippo Munévar, Ana Nentwig, Wolfgang Nicolosi, Giuseppe Painting, Christina J Pétillon, Julien Piano, Elena Privet, Kaïna Ramírez, Martín J Ramos, Cândida Řezáč, Milan Ridel, Aurélien Růžička, Vlastimil Santos, Irene Sentenská, Lenka Walker, Leilani Wierucka, Kaja Zurita, Gustavo Andres Cardoso, Pedro |
author_sort | Pekár, Stano |
collection | PubMed |
description | Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology. Database URL: https://spidertraits.sci.muni.cz/ |
format | Online Article Text |
id | pubmed-8517500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85175002021-10-15 The World Spider Trait database: a centralized global open repository for curated data on spider traits Pekár, Stano Wolff, Jonas O Černecká, Ľudmila Birkhofer, Klaus Mammola, Stefano Lowe, Elizabeth C Fukushima, Caroline S Herberstein, Marie E Kučera, Adam Buzatto, Bruno A Djoudi, El Aziz Domenech, Marc Enciso, Alison Vanesa Piñanez Espejo, Yolanda M G Febles, Sara García, Luis F Gonçalves-Souza, Thiago Isaia, Marco Lafage, Denis Líznarová, Eva Macías-Hernández, Nuria Magalhães, Ivan Malumbres-Olarte, Jagoba Michálek, Ondřej Michalik, Peter Michalko, Radek Milano, Filippo Munévar, Ana Nentwig, Wolfgang Nicolosi, Giuseppe Painting, Christina J Pétillon, Julien Piano, Elena Privet, Kaïna Ramírez, Martín J Ramos, Cândida Řezáč, Milan Ridel, Aurélien Růžička, Vlastimil Santos, Irene Sentenská, Lenka Walker, Leilani Wierucka, Kaja Zurita, Gustavo Andres Cardoso, Pedro Database (Oxford) Original Article Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology. Database URL: https://spidertraits.sci.muni.cz/ Oxford University Press 2021-10-20 /pmc/articles/PMC8517500/ /pubmed/34651181 http://dx.doi.org/10.1093/database/baab064 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Pekár, Stano Wolff, Jonas O Černecká, Ľudmila Birkhofer, Klaus Mammola, Stefano Lowe, Elizabeth C Fukushima, Caroline S Herberstein, Marie E Kučera, Adam Buzatto, Bruno A Djoudi, El Aziz Domenech, Marc Enciso, Alison Vanesa Piñanez Espejo, Yolanda M G Febles, Sara García, Luis F Gonçalves-Souza, Thiago Isaia, Marco Lafage, Denis Líznarová, Eva Macías-Hernández, Nuria Magalhães, Ivan Malumbres-Olarte, Jagoba Michálek, Ondřej Michalik, Peter Michalko, Radek Milano, Filippo Munévar, Ana Nentwig, Wolfgang Nicolosi, Giuseppe Painting, Christina J Pétillon, Julien Piano, Elena Privet, Kaïna Ramírez, Martín J Ramos, Cândida Řezáč, Milan Ridel, Aurélien Růžička, Vlastimil Santos, Irene Sentenská, Lenka Walker, Leilani Wierucka, Kaja Zurita, Gustavo Andres Cardoso, Pedro The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title | The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title_full | The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title_fullStr | The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title_full_unstemmed | The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title_short | The World Spider Trait database: a centralized global open repository for curated data on spider traits |
title_sort | world spider trait database: a centralized global open repository for curated data on spider traits |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517500/ https://www.ncbi.nlm.nih.gov/pubmed/34651181 http://dx.doi.org/10.1093/database/baab064 |
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