Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data)
R script and pre-formatted data to reproduce estimation of nitrogen storage pools and annual fluxes for Von Guerard Stream, Antarctica. The code using a Monte Carlo approach to propagate uncertainty from point-scale measurements when estimating pools over the entire stream corridor or fluxes over ea...
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ftzenodo:oai:zenodo.org:6049121 2024-09-15T17:48:32+00:00 Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) Singley, Joel 2022-02-11 https://doi.org/10.5281/zenodo.6049121 unknown Zenodo https://doi.org/10.5281/zenodo.6049120 https://doi.org/10.5281/zenodo.6049121 oai:zenodo.org:6049121 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.604912110.5281/zenodo.6049120 2024-07-27T03:38:44Z R script and pre-formatted data to reproduce estimation of nitrogen storage pools and annual fluxes for Von Guerard Stream, Antarctica. The code using a Monte Carlo approach to propagate uncertainty from point-scale measurements when estimating pools over the entire stream corridor or fluxes over each year. Citations for original datasources are provided below and described in the additional notes. This material is based upon work supported by the National Science Foundation Grant for Long Term Ecological Research, most recently #OPP-1637708. The pre-formatted data files were compiled from the following datasets. glac_chem_combined.csv --> mat_afdm_chla.csv --> mat_afdm.csv --> coverage_20190126_214620.csv --> generated by this study (see >>>>>>>>>>>>>) Other/Unknown Material Antarc* Antarctica Zenodo |
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Open Polar |
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Zenodo |
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ftzenodo |
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unknown |
description |
R script and pre-formatted data to reproduce estimation of nitrogen storage pools and annual fluxes for Von Guerard Stream, Antarctica. The code using a Monte Carlo approach to propagate uncertainty from point-scale measurements when estimating pools over the entire stream corridor or fluxes over each year. Citations for original datasources are provided below and described in the additional notes. This material is based upon work supported by the National Science Foundation Grant for Long Term Ecological Research, most recently #OPP-1637708. The pre-formatted data files were compiled from the following datasets. glac_chem_combined.csv --> mat_afdm_chla.csv --> mat_afdm.csv --> coverage_20190126_214620.csv --> generated by this study (see >>>>>>>>>>>>>) |
format |
Other/Unknown Material |
author |
Singley, Joel |
spellingShingle |
Singley, Joel Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
author_facet |
Singley, Joel |
author_sort |
Singley, Joel |
title |
Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
title_short |
Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
title_full |
Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
title_fullStr |
Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
title_full_unstemmed |
Monte Carlo-based estimation of stream corridor nitrogen storage and annual fluxes for Von Guerard Stream, Antarctica (R script and pre-formatted data) |
title_sort |
monte carlo-based estimation of stream corridor nitrogen storage and annual fluxes for von guerard stream, antarctica (r script and pre-formatted data) |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.6049121 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.5281/zenodo.6049120 https://doi.org/10.5281/zenodo.6049121 oai:zenodo.org:6049121 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.604912110.5281/zenodo.6049120 |
_version_ |
1810289852131835904 |