Data from: NOS: a software suite to compute node overlap and segregation in ecological networks
Investigating the structure of ecological networks can help unravel the mechanisms promoting and maintaining biodiversity. Recently, Strona and Veech (10.1111/2041-210X.12395) introduced a new metric (Ɲ ̅, pronounced 'nos'), that allows assessment of structural patterns in networks ranging...
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ftzenodo:oai:zenodo.org:4962874 2023-05-15T15:14:25+02:00 Data from: NOS: a software suite to compute node overlap and segregation in ecological networks Strona, Giovanni Matthews, Thomas Joseph Kortsch, Susanne Veech, Joseph A. 2017-10-20 https://zenodo.org/record/4962874 https://doi.org/10.5061/dryad.h58qc unknown doi:10.1111/ecog.03447 https://zenodo.org/communities/dryad https://zenodo.org/record/4962874 https://doi.org/10.5061/dryad.h58qc oai:zenodo.org:4962874 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode co-occurrence ecological networks nestedness info:eu-repo/semantics/other dataset 2017 ftzenodo https://doi.org/10.5061/dryad.h58qc10.1111/ecog.03447 2023-03-10T14:11:34Z Investigating the structure of ecological networks can help unravel the mechanisms promoting and maintaining biodiversity. Recently, Strona and Veech (10.1111/2041-210X.12395) introduced a new metric (Ɲ ̅, pronounced 'nos'), that allows assessment of structural patterns in networks ranging from complete node segregation to perfect nestedness, and that also provides a visual and quantitative assessment of the degree of network modularity. The Ɲ ̅ metric permits testing of a wide range of hypotheses regarding the tendency for species to share interacting partners by taking into account ecologically plausible species interactions based on constraints such as trophic levels and habitat preference. Here we introduce NOS, a software suite (including a web interface freely accessible at http://nos.alwaysdata.net, an executable program, and Python and R packages) that makes it possible to exploit the full potential of this method. Besides computing node overlap and segregation (Ɲ ̅), the software provides different functions to automatically identify a set of possible resource-consumer interactions in food webs based on trophic levels. As an example of application, we analyzed two well-resolved high-latitude marine food webs, showing that an explicit a priori consideration of trophic levels is fundamental for a proper assessment of food web structure. User manual for static NOS softwareThe manual provides detailed instructions to use the Python NOS package, and the Windows executable program.static_NOS_user_manual.pdfNOS python packageThe file includes an implementation of NOS in Python programming language. Detailed instructions about how to use the package are provided in the NOS user manual. The Executable version of NOS for Windows available for download at http://nos.alwaysdata.net, and a NOS R package is available for download from CRAN https://CRAN.R-project.org/package=nosnos.pyMarine Arctic food-webSample food web for the NOS software suite. Data from: Kortsch, S. et al. 2015. Climate change alters the ... Dataset Arctic Climate change Zenodo Arctic |
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co-occurrence ecological networks nestedness |
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co-occurrence ecological networks nestedness Strona, Giovanni Matthews, Thomas Joseph Kortsch, Susanne Veech, Joseph A. Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
topic_facet |
co-occurrence ecological networks nestedness |
description |
Investigating the structure of ecological networks can help unravel the mechanisms promoting and maintaining biodiversity. Recently, Strona and Veech (10.1111/2041-210X.12395) introduced a new metric (Ɲ ̅, pronounced 'nos'), that allows assessment of structural patterns in networks ranging from complete node segregation to perfect nestedness, and that also provides a visual and quantitative assessment of the degree of network modularity. The Ɲ ̅ metric permits testing of a wide range of hypotheses regarding the tendency for species to share interacting partners by taking into account ecologically plausible species interactions based on constraints such as trophic levels and habitat preference. Here we introduce NOS, a software suite (including a web interface freely accessible at http://nos.alwaysdata.net, an executable program, and Python and R packages) that makes it possible to exploit the full potential of this method. Besides computing node overlap and segregation (Ɲ ̅), the software provides different functions to automatically identify a set of possible resource-consumer interactions in food webs based on trophic levels. As an example of application, we analyzed two well-resolved high-latitude marine food webs, showing that an explicit a priori consideration of trophic levels is fundamental for a proper assessment of food web structure. User manual for static NOS softwareThe manual provides detailed instructions to use the Python NOS package, and the Windows executable program.static_NOS_user_manual.pdfNOS python packageThe file includes an implementation of NOS in Python programming language. Detailed instructions about how to use the package are provided in the NOS user manual. The Executable version of NOS for Windows available for download at http://nos.alwaysdata.net, and a NOS R package is available for download from CRAN https://CRAN.R-project.org/package=nosnos.pyMarine Arctic food-webSample food web for the NOS software suite. Data from: Kortsch, S. et al. 2015. Climate change alters the ... |
format |
Dataset |
author |
Strona, Giovanni Matthews, Thomas Joseph Kortsch, Susanne Veech, Joseph A. |
author_facet |
Strona, Giovanni Matthews, Thomas Joseph Kortsch, Susanne Veech, Joseph A. |
author_sort |
Strona, Giovanni |
title |
Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
title_short |
Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
title_full |
Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
title_fullStr |
Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
title_full_unstemmed |
Data from: NOS: a software suite to compute node overlap and segregation in ecological networks |
title_sort |
data from: nos: a software suite to compute node overlap and segregation in ecological networks |
publishDate |
2017 |
url |
https://zenodo.org/record/4962874 https://doi.org/10.5061/dryad.h58qc |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
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Arctic Climate change |
op_relation |
doi:10.1111/ecog.03447 https://zenodo.org/communities/dryad https://zenodo.org/record/4962874 https://doi.org/10.5061/dryad.h58qc oai:zenodo.org:4962874 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.h58qc10.1111/ecog.03447 |
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1766344879135260672 |