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High-frequency water quality data for Gwynns Falls, Baisman Run, and Pond Branch, Baltimore County and Baltimore City, MD, USA


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Type: Resource
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Created: Sep 21, 2023 at 4:17 a.m.
Last updated: Jan 31, 2024 at 3:29 a.m.
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Sharing Status: Discoverable
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Abstract

This resource includes water quality sensor data measured at three stations along the main stem of the Gwynns Falls watershed, spanning an urban to rural gradient of development from Baltimore City to Baltimore County, MD, USA. In addition, two forested reference sites, Baisman Run and Pond Branch at Oregon Ridge, and one urban site, Dead Run (tributary to Gwynns Falls), are instrumented in Baltimore County, MD, USA. Sensor data are collected at a 5-minute frequency by YSI EXO2 sondes that include temperature, specific conductance, turbidity, dissolved oxygen, and pH. In addition, s::can spectrolyser v3 sondes are planned for deployment to measure nitrate-nitrogen and dissolved organic carbon at a 15-minute frequency at 5 of the sites. A Seabird SUNA is currently measuring nitrate-nitrogen at Dead Run at a 30-minute frequency. All Dead Run data are provided in a separate linked resource. High frequency data are collected for the purpose of evaluating event-based water quality /discharge behavior, as a complement to weekly grab-sample stream chemistry data that have been collected by the Baltimore Ecosystem Study since 1998. The six sites are co-located with USGS stream gages. Data are telemetered to UMBC. This data set is part of the Baltimore Social-Environmental Collaborative Urban Integrated Field Laboratory supported by Department of Energy as well as the Critical Zone Collaborative Network supported by NSF.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Baltimore, MD
North Latitude
39.4916°
East Longitude
-76.6228°
South Latitude
39.2471°
West Longitude
-76.8434°

Temporal

Start Date:
End Date:

Content

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Related Resources

The content of this resource references Groffman, P.M., E. Rosi, and L.D. Martel. 2023. Baltimore Ecosystem Study: Stream chemistry for core sites in Gwynns Falls ver 602. Environmental Data Initiative. https://doi.org/10.6073/pasta/34959288c24b476548115b4c97a537e9 (Accessed 2023-10-21).
The content of this resource references 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
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=01583570.
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=01583580.
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=01589197.
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=01589300.
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=01589352.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Department of Energy Baltimore Social-Environmental Collaborative Urban Integrated Field Laboratory DE-SC0023218
National Science Foundation Collaborative Research: Network Cluster: Urban Critical Zone processes along the Piedmont-Coastal Plain transition 2012340
National Science Foundation Frameworks:Collaborative Proposal: Software Infrastructure for Transformative Urban Sustainability Research 1931283

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
Amalie Rebstock UMBC Baltimore, MD
John J. Lagrosa IV Center for Urban Environmental Research and Education at the University of Maryland, Baltimore County Maryland, US
Nick Simeone UMBC MD, US

How to Cite

Welty, C., M. McWilliams, J. Duncan, P. Groffman (2024). 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 is shared under the Creative Commons Attribution CC BY.

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

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