Predicting excess ground ice content with a beta regression model ...

This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The...

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Bibliographic Details
Main Authors: Castagner, Ariane, Brenning, Alexander
Format: Software
Language:English
Published: Zenodo 2022
Subjects:
Ice
Online Access:https://dx.doi.org/10.5281/zenodo.6908790
https://zenodo.org/record/6908790
id ftdatacite:10.5281/zenodo.6908790
record_format openpolar
spelling ftdatacite:10.5281/zenodo.6908790 2023-07-23T04:17:18+02:00 Predicting excess ground ice content with a beta regression model ... Castagner, Ariane Brenning, Alexander 2022 https://dx.doi.org/10.5281/zenodo.6908790 https://zenodo.org/record/6908790 en eng Zenodo https://zenodo.org/communities/climate-cryosphere https://dx.doi.org/10.5281/zenodo.6908789 https://zenodo.org/communities/climate-cryosphere Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess permafrost, excess ice, beta regression, Arctic, Northwest Territories, Inuvik, Tuktoyaktuk Software article SoftwareSourceCode 2022 ftdatacite https://doi.org/10.5281/zenodo.690879010.5281/zenodo.6908789 2023-07-03T17:54:38Z This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The R code reproduces all of the analyses performed in this publication (fitting the beta regression model using geotechnical variables, bootstrapping confidence intervals, and producing base plots). ... : We acknowledge support from the Natural Sciences and Engineering Research Council of Canada via Strategic Project #521584 and Discovery Grant #4783. ... Software Arctic Ice Inuvik Northwest Territories permafrost Tuktoyaktuk DataCite Metadata Store (German National Library of Science and Technology) Arctic Canada Inuvik ENVELOPE(-133.610,-133.610,68.341,68.341) Northwest Territories Tuktoyaktuk ENVELOPE(-133.006,-133.006,69.425,69.425)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic permafrost, excess ice, beta regression, Arctic, Northwest Territories, Inuvik, Tuktoyaktuk
spellingShingle permafrost, excess ice, beta regression, Arctic, Northwest Territories, Inuvik, Tuktoyaktuk
Castagner, Ariane
Brenning, Alexander
Predicting excess ground ice content with a beta regression model ...
topic_facet permafrost, excess ice, beta regression, Arctic, Northwest Territories, Inuvik, Tuktoyaktuk
description This project is associated with the Arctic Science publication titled "Vertical distribution of excess ice in icy sediments and its statistical estimation from geotechnical data (Tuktoyaktuk Coastlands and Anderson Plain, Northwest Territories)" (Castagner et al., 2022; in processing). The R code reproduces all of the analyses performed in this publication (fitting the beta regression model using geotechnical variables, bootstrapping confidence intervals, and producing base plots). ... : We acknowledge support from the Natural Sciences and Engineering Research Council of Canada via Strategic Project #521584 and Discovery Grant #4783. ...
format Software
author Castagner, Ariane
Brenning, Alexander
author_facet Castagner, Ariane
Brenning, Alexander
author_sort Castagner, Ariane
title Predicting excess ground ice content with a beta regression model ...
title_short Predicting excess ground ice content with a beta regression model ...
title_full Predicting excess ground ice content with a beta regression model ...
title_fullStr Predicting excess ground ice content with a beta regression model ...
title_full_unstemmed Predicting excess ground ice content with a beta regression model ...
title_sort predicting excess ground ice content with a beta regression model ...
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6908790
https://zenodo.org/record/6908790
long_lat ENVELOPE(-133.610,-133.610,68.341,68.341)
ENVELOPE(-133.006,-133.006,69.425,69.425)
geographic Arctic
Canada
Inuvik
Northwest Territories
Tuktoyaktuk
geographic_facet Arctic
Canada
Inuvik
Northwest Territories
Tuktoyaktuk
genre Arctic
Ice
Inuvik
Northwest Territories
permafrost
Tuktoyaktuk
genre_facet Arctic
Ice
Inuvik
Northwest Territories
permafrost
Tuktoyaktuk
op_relation https://zenodo.org/communities/climate-cryosphere
https://dx.doi.org/10.5281/zenodo.6908789
https://zenodo.org/communities/climate-cryosphere
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.690879010.5281/zenodo.6908789
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