Abstract:
This data set is a subset of the Shale Network database (https://doi.org/10.4211/his-data-shalenetwork) and has been discussed in the following publication - Assessing Changes in Groundwater Chemistry in Landscapes with More than 100 Years of Oil and Gas Development
The Shale Network (http://www.shalenetwork.org/) is a project funded by the National Science Foundation to help scientists and citizens store data for water resources that may be affected by gas exploitation in shale in the U.S.A. Our primary focus currently is the northeastern U.S.A. We want to enable the generation of knowledge from water chemistry and flow data collected in areas of extraction of natural gas. The Shale Network is working with the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) to create this database (http://data.cuahsi.org/). Our goal is to find, organize, and upload data for water resources for online publication with attribution. The Shale Network is seeking organizations engaged in water quality monitoring or research to join our effort. Please contact us if you wish to learn more about becoming part of the Shale Network.
Compiled water quality data for waters sampled by consulting companies hired by oil and gas companies in the years of prior to 2000 and 2012-2015 from central Mercer County, Pennsylvania. Waters were analyzed by commercial analytical laboratories. Further information is in metadata in the dataset.
Purpose:
This data set is a subset of the Shale Network database To cite this dataset please cite these references: 1) Brantley, S.L., 2018. Shale Network Database, Consortium for Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI), https://doi.org/10.4211/his-data-shalenetwork. 2) Wen, T., Niu, X., Gonzales, M., Zheng, G., Li, Z., Brantley, S.L., 2018. Big Groundwater Data Sets Reveal Possible Rare Contamination Amid Otherwise Improved Water Quality for Some Analytes in a Region of Marcellus Shale Development. Environ. Sci. Technol. 52 (12), 7149–7159. https://doi.org/10.1021/acs.est.8b01123. 3) Wen, T., Gonzales, M., Niu, X., Herman, A., Guarnieri, M., Li, Z., Brantley, S.L., 2018. Shale Network – Mercer County Groundwater as of August 2018, Data Commons, Penn State University. The Shale Network (http://www.shalenetwork.org/) is a project funded by the National Science Foundation to help scientists and citizens store data for water resources that may be affected by gas exploitation in shale in the U.S.A. Our primary focus currently is the northeastern U.S.A. We want to enable the generation of knowledge from water chemistry and flow data collected in areas of extraction of natural gas. The Shale Network is working with the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) to create this database (http://data.cuahsi.org/). Our goal is to find, organize, and upload data for water resources for online publication with attribution. The Shale Network is seeking organizations engaged in water quality monitoring or research to join our effort. Please contact us if you wish to learn more about becoming part of the Shale Network.
Supplemental_Information:
To cite this dataset please cite these four references:
1) Brantley, S.L., 2018. Shale Network Database, Consortium for Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI), https://doi.org/10.4211/his-data-shalenetwork.
2) Woda, J., Wen, T., Oakley, D., Yoxtheimer, D., Engelder, T., Castro, M.C., Brantley, S.L., 2018 (in press). Detecting and explaining why aquifers occasionally become degraded near hydraulically fractured shale gas wells. Proc. Natl. Acad. Sci.
3) Gross, E.L., and Cravotta, C.A., III, 2017, Groundwater quality for 75 domestic wells in Lycoming County, Pennsylvania, 2014: U.S. Geological Survey Scientific Investigations Report 2016–5143, 74 p., https://doi.org/10.3133/sir20165143.
4) Wen, T., Woda, J., Gonzales, M., Herman, A., Brantley, S.L., 2018. Shale Network – Lycoming County Groundwater as of October 2018, DataCommons, Penn State University, https://doi.org/10.18113/D35M2X.
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