Data sets and individual XCD results used to develop the field-based benchmarks are available at the U.S. EPA Environmental Dataset Gateway (https://doi.org/10.23719/1371707) (Cormier, 2017). Data are contained in three zip files. The folder “Biological.zip” contains occurrences of benthic invertebrate genera in 24 state data sets. This paper uses only the data from West Virginia ecoregions 69 and 70. The folder “Environmental.zip” contains environmental data sorted into 24 data sets. The folder “model.zip” contains the calculated XC95 values, probability of observation plots as generalized additive models, and the cumulative frequency distribution for benthic invertebrate genera from WV69 and 70 plus data sets used to develop other models not discussed in this paper. A spreadsheet for calculating XC95 values and XCD05 is described in Cormier et al. (2018c). The tools, data sets, example calculations, and example outputs are available online at https://wiley.figshare.com/ieam and https://github.com/smcormier/Biological-Extirpation-Analysis-Tools-BEAT/releases/tag/v.1.0.2. Alternatively, calculation of XC95, GAM plots, XCD05 can be calculated using batch R-code. Similarly, the R-code and data sets are available on GitHub (https://github.com/leppott/XC95).

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).

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 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).

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).

Data from a set of studies that ran from 1977-1978, and 1980-1982, around the site of Gaillard Island, Mobile Bay, Alabama, before, during, and after its construction (1979-1981). Extant data from the MESC Data Management System include sediment particle size distribution (001), identification and enumeration of benthic fauna (002), discrete hydrography and turbidity (003) during and after island construction, and discrete hydrography and turbidity before island construction (004).

These data include sample information and gene sequence reads for amplicon sequence variants from a study of freezing and storage duration effects on diatom-environment relationships. This dataset is associated with the following publication: Smucker, N., E. Pilgrim, C. Nietch, and C. Carpenter. Freezing periphyton samples and storage duration do not affect the use of diatom DNA metabarcoding to determine effects of stressors on streams. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 197: 1360, (2025).

The data are species counts by location, as well as other environmental variables for each stream location sampled. This dataset is associated with the following publication: Stamp, J., A. Moore, S. Fiske, J. Gerritsen, B. Bierwagen, and A. Hamilton. Effects of Extreme High Flow Events on Macroinvertebrate Communities in Vermont Streams. River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 36(9): 1891-1902, (2020).

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.

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.