Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...

This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river m...

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Main Author: J. Blake Clark
Format: Dataset
Language:unknown
Published: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.6544653
https://zenodo.org/record/6544653
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spelling ftdatacite:10.5281/zenodo.6544653 2023-12-31T10:03:14+01:00 Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ... J. Blake Clark 2022 https://dx.doi.org/10.5281/zenodo.6544653 https://zenodo.org/record/6544653 unknown Zenodo https://dx.doi.org/10.5281/zenodo.6544652 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 Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.654465310.5281/zenodo.6544652 2023-12-01T11:18:44Z This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river mass load as a function of measured discharge. The *_discharg.dat files contain the river discharge data from arcticgreatrivers.org, the *calib_MMMM.dat files contain the derived calibration concentration structured as date time discharge(CFS) DOC(mg/L) CDOC(mg/L) There is also a file River_CDOM_April2021.mat that is a MATLAB data structure with the information used in the DOC derivation for each river. J. Blake Clark should be contacted at bclark@umbc.edu with any specific questions. for further details. ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river mass load as a function of measured discharge. The *_discharg.dat files contain the river discharge data from arcticgreatrivers.org, the *calib_MMMM.dat files contain the derived calibration concentration structured as date time discharge(CFS) DOC(mg/L) CDOC(mg/L) There is also a file River_CDOM_April2021.mat that is a MATLAB data structure with the information used in the DOC derivation for each river. J. Blake Clark should be contacted at bclark@umbc.edu with any specific questions. for further details. ...
format Dataset
author J. Blake Clark
spellingShingle J. Blake Clark
Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
author_facet J. Blake Clark
author_sort J. Blake Clark
title Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
title_short Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
title_full Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
title_fullStr Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
title_full_unstemmed Arctic Great Rivers Dissolved Organic Carbon River Export Analysis ...
title_sort arctic great rivers dissolved organic carbon river export analysis ...
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6544653
https://zenodo.org/record/6544653
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.5281/zenodo.6544652
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.654465310.5281/zenodo.6544652
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