kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic

Code for a database that stores soil temperature and vegetation data across the permafrost regions. Code also contains a statistical model for organizing data and filling in missing soil or air temperature data using a Bayesian statistical analysis (Temp_model folder). All analysis of vegetation dri...

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Bibliographic Details
Main Authors: Kropp, Heather, Loranty, Mike
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2020
Subjects:
Arctic
permafrost
Online Access:https://dx.doi.org/10.5281/zenodo.3662726
https://zenodo.org/record/3662726
id ftdatacite:10.5281/zenodo.3662726
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3662726 2023-05-15T14:55:59+02:00 kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic Kropp, Heather Loranty, Mike 2020 https://dx.doi.org/10.5281/zenodo.3662726 https://zenodo.org/record/3662726 unknown Zenodo https://github.com/kroppheather/synthesis_database/tree/v1.5 https://github.com/kroppheather/synthesis_database/tree/v1.5 https://dx.doi.org/10.5281/zenodo.3358909 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.3662726 https://doi.org/10.5281/zenodo.3358909 2021-11-05T12:55:41Z Code for a database that stores soil temperature and vegetation data across the permafrost regions. Code also contains a statistical model for organizing data and filling in missing soil or air temperature data using a Bayesian statistical analysis (Temp_model folder). All analysis of vegetation driven patterns in soil temperature are also conducted using Bayesian statistical models (Analysis folder). Newest version includes additional figures for supplemental information. Article in Journal/Newspaper Arctic permafrost DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Code for a database that stores soil temperature and vegetation data across the permafrost regions. Code also contains a statistical model for organizing data and filling in missing soil or air temperature data using a Bayesian statistical analysis (Temp_model folder). All analysis of vegetation driven patterns in soil temperature are also conducted using Bayesian statistical models (Analysis folder). Newest version includes additional figures for supplemental information.
format Article in Journal/Newspaper
author Kropp, Heather
Loranty, Mike
spellingShingle Kropp, Heather
Loranty, Mike
kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
author_facet Kropp, Heather
Loranty, Mike
author_sort Kropp, Heather
title kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
title_short kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
title_full kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
title_fullStr kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
title_full_unstemmed kroppheather/synthesis_database: Vegetation impacts on air-shallow soil temperature in the pan-Arctic
title_sort kroppheather/synthesis_database: vegetation impacts on air-shallow soil temperature in the pan-arctic
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.3662726
https://zenodo.org/record/3662726
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
genre_facet Arctic
permafrost
op_relation https://github.com/kroppheather/synthesis_database/tree/v1.5
https://github.com/kroppheather/synthesis_database/tree/v1.5
https://dx.doi.org/10.5281/zenodo.3358909
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.3662726
https://doi.org/10.5281/zenodo.3358909
_version_ 1766327998672273408

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