These datasets contain all publicly available analytical data collected by the U.S. Geological Survey (USGS) at each location sampled by the Pennsylvania Pesticides in Vulnerable Groundwaters program from 2021 and 2022. Additional analytical data will be appended following the conclusion of each sampling season, and all data is made publicly available in the on-line National Water Information System (NWIS).

This dataset contains all publicly-available analytical data collected by the U.S. Geological Survey (USGS) at each location within the Pennsylvania Groundwater Monitoring Network (GWMN) from 2015 to present. Additional analytical data will be appended following the conclusion of each sampling season, and all data is made publicly available in the online National Water Inventory System (NWIS). This dataset serves as a repository for data used by the Pennsylvania Groundwater Monitoring Network map, found here: https://rconnect.chs.usgs.gov/PA_GWMN_map/

This dataset contains all publicly-available analytical data collected by the U.S. Geological Survey (USGS) at each location within the Pennsylvania Groundwater Monitoring Network (GWMN) from 2015 to present. Additional analytical data will be appended following the conclusion of each sampling season, and all data is made publicly available in the online National Water Inventory System (NWIS). This dataset serves as a repository for data used by the Pennsylvania Groundwater Monitoring Network map, found here: https://rconnect.chs.usgs.gov/PA_GWMN_map/

The National Water-Quality Assessment (NAWQA) Program and National Stream Quality Accounting Network (NASQAN) are U.S. Geological Survey (USGS) monitoring programs that measure pesticide concentrations in the Nation’s streams and rivers, herein collectively referred to as streams. The NAWQA Program began monitoring pesticides in 1992 and the NASQAN Program began monitoring pesticides in 1995. The programs were recently merged to form the USGS National Water Quality Network for Rivers and Streams. Water samples are analyzed for pesticides by the USGS National Water Quality Laboratory (NWQL) using methods developed by the NWQL’s Methods Research and Development team. The NWQL extensively used two analytical methods, gas chromatography/mass spectrometry and liquid chromatography/mass spectrometry, to measure pesticides in filtered water samples during 1992–2012 (old method). In October 2012, the monitoring programs began using direct aqueous-injection liquid chromatography tandem mass spectrometry as a new analytical method for pesticides (new method). The change in analytical methods, however, has the potential to inadvertently introduce bias in analysis of datasets that span the change. The data sets provided in this report were used to document performance of the new method in a variety of stream-water matrices and help quantify potential changes in measurement bias or variability that could be attributed to changes in analytical methods (Martin and others, 2016). Users should consult the report by Martin and others (2016) to understand how these data were collected and used. Measured concentrations and calculated recoveries of 281 pesticides and degradates in paired environmental background water samples and matrix spiked water samples collected at 48 stream-water sites from June 11, 2012 to September 6, 2012 are provided in seven tab-delimited ASCII files with relational database (RDB) format header. A tab-delimited ASCII file (DataDictionaryList.txt) listing DataSet attributes and RDB column formats is also included in this data release. Martin, J.D., Norman, J.E., Sandstrom, M.W., and Rose, C.E., 2016, A field study of selected U.S. Geological Survey analytical methods for measuring pesticides in filtered stream water, June-September 2012: U.S. Geological Survey Scientific Investigations Report, 2017-5049

The National Water-Quality Assessment (NAWQA) Program and National Stream Quality Accounting Network (NASQAN) are U.S. Geological Survey (USGS) monitoring programs that measure pesticide concentrations in the Nation’s streams and rivers, herein collectively referred to as streams. The NAWQA Program began monitoring pesticides in 1992 and the NASQAN Program began monitoring pesticides in 1995. The programs were recently merged to form the USGS National Water Quality Network for Rivers and Streams. Water samples are analyzed for pesticides by the USGS National Water Quality Laboratory (NWQL) using methods developed by the NWQL’s Methods Research and Development team. The NWQL extensively used two analytical methods, gas chromatography/mass spectrometry and liquid chromatography/mass spectrometry, to measure pesticides in filtered water samples during 1992–2012 (old method). In October 2012, the monitoring programs began using direct aqueous-injection liquid chromatography tandem mass spectrometry as a new analytical method for pesticides (new method). The change in analytical methods, however, has the potential to inadvertently introduce bias in analysis of datasets that span the change. The data sets provided in this report were used to document performance of the new method in a variety of stream-water matrices and help quantify potential changes in measurement bias or variability that could be attributed to changes in analytical methods (Martin and others, 2016). Users should consult the report by Martin and others (2016) to understand how these data were collected and used. Measured concentrations and calculated recoveries of 281 pesticides and degradates in paired environmental background water samples and matrix spiked water samples collected at 48 stream-water sites from June 11, 2012 to September 6, 2012 are provided in seven tab-delimited ASCII files with relational database (RDB) format header. A tab-delimited ASCII file (DataDictionaryList.txt) listing DataSet attributes and RDB column formats is also included in this data release. Martin, J.D., Norman, J.E., Sandstrom, M.W., and Rose, C.E., 2016, A field study of selected U.S. Geological Survey analytical methods for measuring pesticides in filtered stream water, June-September 2012: U.S. Geological Survey Scientific Investigations Report, 2017-5049

This USGS Data Release includes hydrologic data compiled for selected years during the period 1990-2017 to support the development and calibration of a numerical groundwater model used to simulate groundwater flow paths at and near former and currently active military bases in Montgomery and Bucks Counties in southeastern Pennsylvania (Goode and Senior, 2020). The hydrologic data compiled for the study area include: 1) withdrawal (pumping) rates for production and other wells; 2) quarry pumping rates; 3) rates of flow discharged to streams from the National Pollution Discharge Elimination System (NPDES) sources, and 4) measured water levels in wells. The data were compiled from various sources described in the metadata for each type of data, with complete references for data sources listed in (Goode and Senior, 2020). Withdrawal (pumping) and discharge rates in the data release represent annual average rates computed as needed from data compiled from various sources. The principal time periods for compiled data include 1990's, 2010, 2013, 2016, and 2017. Some values are estimated where data were missing or not available.

This USGS Data Release includes hydrologic data compiled for selected years during the period 1990-2017 to support the development and calibration of a numerical groundwater model used to simulate groundwater flow paths at and near former and currently active military bases in Montgomery and Bucks Counties in southeastern Pennsylvania (Goode and Senior, 2020). The hydrologic data compiled for the study area include: 1) withdrawal (pumping) rates for production and other wells; 2) quarry pumping rates; 3) rates of flow discharged to streams from the National Pollution Discharge Elimination System (NPDES) sources, and 4) measured water levels in wells. The data were compiled from various sources described in the metadata for each type of data, with complete references for data sources listed in (Goode and Senior, 2020). Withdrawal (pumping) and discharge rates in the data release represent annual average rates computed as needed from data compiled from various sources. The principal time periods for compiled data include 1990's, 2010, 2013, 2016, and 2017. Some values are estimated where data were missing or not available.

This dataset consists of drainage basin boundaries for 212 U.S. Geological Survey (USGS) stream sites sampled in the National Water-Quality Assessment (NAWQA) Program, the National Stream Quality Accounting Network (NASQAN), and the National Monitoring Network (NMN). Of the 212 sites, 206 have either a contributing or total drainage basin boundary, and the remaining 6 have both a total drainage basin boundary and a smaller contributing basin boundary. Collectively, these 218 basin boundaries have been used in a geographic information system (GIS) to generate basin characteristics for the assessment of trends in concentrations of pesticides streams of the United States.

This dataset consists of drainage basin boundaries for 212 U.S. Geological Survey (USGS) stream sites sampled in the National Water-Quality Assessment (NAWQA) Program, the National Stream Quality Accounting Network (NASQAN), and the National Monitoring Network (NMN). Of the 212 sites, 206 have either a contributing or total drainage basin boundary, and the remaining 6 have both a total drainage basin boundary and a smaller contributing basin boundary. Collectively, these 218 basin boundaries have been used in a geographic information system (GIS) to generate basin characteristics for the assessment of trends in concentrations of pesticides streams of the United States.

Groundwater quality data for 472 domestic well-water samples were retrieved from the USGS National Water Information System (NWIS) database and combined with descriptive information on the sampled well locations. The NWIS data for a sample, collected on the selected date, were averaged into a single record (one per well), and rounded according to USGS protocols. For evaluation and reporting, the water-quality data were further combined with physical attributes and classified by lithology, topographic position, physiographic province, region, redox, and pH (as standalone matrix, one row per well). A second data matrix file incorporating minimum reporting levels for censored and low-reported values (set to 0.99X highest common reporting level) was generated for statistical analysis. The two water-quality matrix files, in comma delimited format (.csv) plus a third file that has complete descriptive information for all the water-quality and physical parameters constitute the primary products of the data release.