Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)

An important part of the McMurdo Long Term Ecological Research (LTER) project is identifying patterns and movements of nutrients in perennial ice-covered lakes. This dataset addresses this core area of research and quantifies macronutrient concentrations (NH4+, NO3-, NO2, SRP) found at specific dept...

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Bibliographic Details
Main Author: Priscu, John
Format: Dataset
Language:English
Published: Environmental Data Initiative 2022
Subjects:
McMurdo Dry Valleys
Antarc*
Antarctica
Online Access:https://dx.doi.org/10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-mcm.56.14
id ftdatacite:10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69
record_format openpolar
spelling ftdatacite:10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69 2023-05-15T13:52:05+02:00 Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing) Priscu, John 2022 https://dx.doi.org/10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69 https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-mcm.56.14 en eng Environmental Data Initiative Dataset dataPackage dataset 2022 ftdatacite https://doi.org/10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69 2022-04-01T16:33:42Z An important part of the McMurdo Long Term Ecological Research (LTER) project is identifying patterns and movements of nutrients in perennial ice-covered lakes. This dataset addresses this core area of research and quantifies macronutrient concentrations (NH4+, NO3-, NO2, SRP) found at specific depths in McMurdo Dry Valley lakes. Dataset Antarc* Antarctica McMurdo Dry Valleys DataCite Metadata Store (German National Library of Science and Technology) McMurdo Dry Valleys
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description An important part of the McMurdo Long Term Ecological Research (LTER) project is identifying patterns and movements of nutrients in perennial ice-covered lakes. This dataset addresses this core area of research and quantifies macronutrient concentrations (NH4+, NO3-, NO2, SRP) found at specific depths in McMurdo Dry Valley lakes.
format Dataset
author Priscu, John
spellingShingle Priscu, John
Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
author_facet Priscu, John
author_sort Priscu, John
title Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
title_short Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
title_full Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
title_fullStr Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
title_full_unstemmed Nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)
title_sort nitrogen and phosphorus concentrations in discrete water column samples collected from lakes in the mcmurdo dry valleys, antarctica (1993-2020, ongoing)
publisher Environmental Data Initiative
publishDate 2022
url https://dx.doi.org/10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-mcm.56.14
geographic McMurdo Dry Valleys
geographic_facet McMurdo Dry Valleys
genre Antarc*
Antarctica
McMurdo Dry Valleys
genre_facet Antarc*
Antarctica
McMurdo Dry Valleys
op_doi https://doi.org/10.6073/pasta/5cba7e25aa687c1e989c72c3ee0a0f69
_version_ 1766256308666761216

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