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High-frequency water quality data for Dead Run, Baltimore County, MD, USA


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Type: Resource
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Created: Feb 24, 2023 at 10:58 p.m.
Last updated: Sep 26, 2023 at 5:32 p.m.
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Sharing Status: Discoverable
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Abstract

This resource includes water quality sensor data measured at multiple locations in Dead Run, Baltimore County, Maryland. Stream temperature, specific conductance, turbidity, dissolved oxygen, pH, and nitrate data are collected for multiple purposes including (1) computation of watershed-scale export mass fluxes; (2) evaluation of event-based water quality /discharge behavior, and (2) stream metabolism calculations. Data are collected using various instruments including (1) YSI 6920 V2 sondes outfitted with temperature, specific conductance, and dissolved oxygen sensors; (2) YSI EXO2 sondes outfitted with temperature, specific conductance, dissolved oxygen and pH sensors; (3) Onset Inc. U24-001 conductivity/ temperature and U26-001 dissolved oxygen data loggers; and (4) SUNA nitrate-nitrogen analyzers. Data are collected at a 5-minute interval (SUNAs at a 30-minute interval) and either telemetered to UMBC (YSI sondes and SUNAs) or downloaded manually every 60 days (Onset loggers). The instruments are co-located with either USGS or UMBC stream gaging stations. This data set is part of the Urban Critical Zone Cluster in the NSF Critical Zone Collaborative Network and is associated with the Gwynns Falls sensor data set supported by Department of Energy. Dead Run data are backlogged to 2010 and are being reviewed and uploaded in ~2023-2024.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Woodlawn, MD
North Latitude
39.3388°
East Longitude
-76.7143°
South Latitude
39.2837°
West Longitude
-76.7675°

Temporal

Start Date:
End Date:

Content

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Related Resources

The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589315..
The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589317.
The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589320.
The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589312.
The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589316.
The content of this resource references U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed September 23, 2023, at URL https://waterdata.usgs.gov/md/nwis/uv/?site_no=01589330.
This resource is referenced by Welty, C., M. McWilliams, J. Duncan, P. Groffman (2023). High-frequency water quality data for Gwynns Falls, Baisman Run, and Pond Branch, Baltimore County and Baltimore City, MD, USA, HydroShare, http://www.hydroshare.org/resource/601531755efd42f090eaa09af3826193
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Dead Run Data Collection Claire Welty · John Lagrosa IV  Discoverable &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: Network Cluster: Urban Critical Zone processes along the Piedmont-Coastal Plain transition 2012340

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
John J. Lagrosa IV Center for Urban Environmental Research and Education at the University of Maryland, Baltimore County Maryland, US
Benjamin Glass-Siegel
Jon Duncan Penn State University PA, US 8148657554

How to Cite

Welty, C., M. McWilliams, J. Kemper (2023). High-frequency water quality data for Dead Run, Baltimore County, MD, USA, HydroShare, http://www.hydroshare.org/resource/a1e7358347e8439fb5f944993297f9af

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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