Data includes chemical and biological samples from Ecoregion 69 in West Virginia. eco69_dupchem.csv: 1. Station-year with at least 6 conductivity samples, one in the spring and one in the summer. bio.sample69.csv: Final Criteria dataset for ecoregion 69 by excluding: 1. Non-biology samples, 2. Removed no-conductivity record; 4. removed pH <=6 samples; 5. removed high Cl sites (SO4+HCO3 < CL). ss.csv: Source:WVDEP Crosstabed genus X sample matrix for Ecoregion 69 and 70. 1. Remove ambiguous taxa; 2. Remove non-reference taxa in these two ecoregions in WV data set. This dataset is associated with the following publication: Cormier, S., C. Flaherty, and L. Zheng. Field-based method for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1637-1646, (2018).

The data is provided in 2 zip files that share site identifiers. One data set contains biological (genus benthic invertebrate) data (Data Biological.zip) and the other contains water quality data (Data Environmental.zip), in particular specific conductivity that were used for analyses. A third zip file( XC95_20161120B-C model.zip) contains the XC95 for each genus for each stage data set in Column F of the .csv files. Other columns contain effect specific conductivity effect levels determined by other analytical methods such as from generalized additive models (GAM), linear regression models (LRM) or a weighted optimum (WAopt). Column T (Trend) indicates if the XC95 is confident (+), approximate (~), or greater (>) than the XC95. The pdf files provide plots of either the cumulative frequency distribution or the generalized additive models for each genus in each state data set. This dataset is associated with the following publication: Cormier, S., L. Zheng, and C. Flaherty. A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1629-1636, (2018).

Data set contains Cruise Reports and CTD data from 8 main cruises in the upper Chesapeake Bay on board the R/V Hugh R. Sharp from February 2007 to October 2008. Objectives of this cruise were to sample the estuarine turbidity maximum (ETM) region of the Chesapeake Bay with a suite of in situ sensors (conductivity, temperature, depth, fluorometer, optical backscatter sensor, laser in-situ scattering and transmissometry device (LISST 100C), and Tracor acoustic profiling system (TAPS)), Niskin bottles, MOCNESS zooplankton nets, and a digital imaging particle settling tube with in-situ capture (DIPSTIC). The ETM in this system is most prominent in deeper waters of the shipping channel near the freshwater/saltwater interface. Our sampling strategy included 1) axial surveys of the region with CTD casts and Niskin bottles conducted at 11 stations, 2) axial surveys to sample zooplankton with MOCNESS net tows, and 3) time course sampling with Niskin bottles and DIPSTIC at three anchor stations.

Conductivity, Temperature, and Depth (CTD) Profiles associated with submerged mapping cruises. The side scan sonar survey was done simultaneously with the bathymetry swath survey and used an EdgeTech Model 4125 Towfish bow-mounted from Lookdown at 400 and 900 kHz. The 4125 Towfish utilizes EdgeTech’s Full Spectrum CHIRP technology to produce higher resolution images than a non-CHIRP system. EdgeTech Discovery Software was used to acquire the side scan sonar data using the JSF format at a resolution of about 2.3 cm. All JSF files collected using EdgeTech’s Discover Software were processed using John Gann’s Chesapeake Technology SonarWiz5. Dimensions of contacts should be considered accurate to +/- 30% of the measured dimensions. This system also records the direct arrival intensity data.

Freshwater salinization is an emerging water quality issue for non-tidal streams and rivers in the Chesapeake Bay watershed (CBW), USA region. A model was developed to predict specific conductance (SC; a proxy for salinity) conditions across the CBW and departures from background SC. Discrete observations of SC from 1999-2016 were acquired from a published SC data inventory and explanatory variables describing sources of SC were compiled from several sources. Random forests modeling was conducted to predict SC at four time periods (1999-2001, 2004-2006, 2009-2011, and 2014-2016) at all non-tidal National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1; 1:100K scale) stream reaches. These predictions were then compared to a national background SC dataset to determine relative departures from background SC for each NHDPlusV2.1 reach ID. This data release contains model input data, model output data, and predictions of SC. This data release contains the following three files: 1."Model_input.csv": Contains SC observations, explanatory variables, and additional columns relevant to the model application. 2. "Model_output.csv": Contains predicted SC values for the reaches contained in either the testing or training datasets, as well as the feature contributions for each explanatory variable. 3. "Model_predictions.csv": Contains predicted SC, predicted/expected (or P/E) ratios, and departure categories for all non-tidal reach IDs in the CBW for the four time periods.

Includes in-situ water quality measurements and sediment grab samples analyzed for grain size distribution, total organic carbon, and benthic macroinvertebrates (counts and taxa) for 25 stations throughout the estuary. Samples were collected September 9-11, 2019. This dataset is associated with the following publication: Erban, L., D. Cobb, C. Strobel, C. Tremper, J. Hagy, and T. Gleason. Summary of benthic conditions in the Three Bays estuary (Cape Cod, MA) as of 2019. U.S. Environmental Protection Agency, Washington, DC, USA, 2021.

This is a Data Release containing conductivity and water temperature data for selected springs in the headwaters of the Potomac River basin. This work is supported by USGS Chesapeake Bay studies.

There are 3 data sets. Two zip files contain paired biological (benthic macroinvertebrate genera) (Data Biological.zip) and water quality data (Data Environmental.zip). These were used to estimate background specific conductivity from these state data and estimate the HC05 using the field based extirpation concentration method (USEPA 2011). The zipped files (Griffith ion MG20150729) contains two csv miles with ions summaries and ion and specific conductivity data from the combined EPA survey data. This dataset is associated with the following publication: Cormier, S., L. Zheng, R. Novak, and C. Flaherty. A flow-chart for developing water quality criteria from two field-based methods. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1647-1656, (2018).