Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ...
This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation...
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U.S. EPA Office of Research and Development (ORD)
2020
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Online Access: | https://dx.doi.org/10.23719/1518672 https://catalog.data.gov/dataset/4969787f-5338-4783-88f8-116ce4274f40 |
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ftdatacite:10.23719/1518672 2023-10-01T03:55:02+02:00 Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... 2020 https://dx.doi.org/10.23719/1518672 https://catalog.data.gov/dataset/4969787f-5338-4783-88f8-116ce4274f40 unknown U.S. EPA Office of Research and Development (ORD) https://dx.doi.org/10.1086/710340 water quality stream networks spatial autocorrelation Specific Conductivity Dataset dataset 2020 ftdatacite https://doi.org/10.23719/151867210.1086/710340 2023-09-04T13:56:42Z This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. ... Dataset Beaver Creek 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 |
topic |
water quality stream networks spatial autocorrelation Specific Conductivity |
spellingShingle |
water quality stream networks spatial autocorrelation Specific Conductivity Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
topic_facet |
water quality stream networks spatial autocorrelation Specific Conductivity |
description |
This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. ... |
format |
Dataset |
title |
Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
title_short |
Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
title_full |
Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
title_fullStr |
Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
title_full_unstemmed |
Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS ... |
title_sort |
specific conductivity stream network modeling eastern kentucky watershed data, code and analysis htmls ... |
publisher |
U.S. EPA Office of Research and Development (ORD) |
publishDate |
2020 |
url |
https://dx.doi.org/10.23719/1518672 https://catalog.data.gov/dataset/4969787f-5338-4783-88f8-116ce4274f40 |
genre |
Beaver Creek |
genre_facet |
Beaver Creek |
op_relation |
https://dx.doi.org/10.1086/710340 |
op_doi |
https://doi.org/10.23719/151867210.1086/710340 |
_version_ |
1778523134385717248 |