This dataset includes information compiled for the literature review meta-analysis portion for the Chesapeake Bay Stressor Identification Project. The dataset includes basic identifying information regarding the publication (last name of the first author, year published, study type, and number of observational units included in the study), the response metric for which results were reported, and the major source or driver that was the focus of the study. The dataset denotes for each stressor category whether a stressor was measured and whether the study’s analysis found it to be an important factor influencing the response metric. The results are reported for both coarse and fine stressor levels, since two stressor categories (geomorphology and toxic contaminants) were subdivided into finer scale categories (habitat and sediment for geomorphology, and pesticides, mercury, metals, and other for toxic contaminants).

This dataset includes summary information on the reports/studies compiled for the literature review portion of the Chesapeake Bay Stressor identification project. This dataset includes basic identifying information regarding the report (name of the report, last name of the first author, year published, persistent link to the report, etc.). It also lists the geographic location of the study (U.S. States or countries for those outside the U.S.), the type of field study, the major source or driver that was the focus of the study, and which in-stream stressors were measured. Finally, the dataset includes a decision code to denote whether the study/report results were included in this project’s analysis or not. If not, descriptor codes for reasons of exclusion are included.

This dataset includes summary information on the reports/studies compiled for the literature review portion of the Chesapeake Bay Stressor identification project. This dataset includes basic identifying information regarding the report (name of the report, last name of the first author, year published, persistent link to the report, etc.). It also lists the geographic location of the study (U.S. States or countries for those outside the U.S.), the type of field study, the major source or driver that was the focus of the study, and which in-stream stressors were measured. Finally, the dataset includes a decision code to denote whether the study/report results were included in this project’s analysis or not. If not, descriptor codes for reasons of exclusion are included.

This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (in review). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting benthic macroinvertebrate community metrics in the Chesapeake Bay region: 1) the peer reviewed multi-stressor literature, in which the effects multiple in-stream stressors on benthic macroinvertebrate community metrics are simultaneously assessed; and 2) reported causes of biological impairment as listed by state or district regulatory agencies in the Environmental Protection Agency's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS). This data release contains three child items: 1) "Data from the Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) for evaluating multiple stressors affecting Chesapeake Bay Watershed rivers and streams": The ATTAINS dataset is for the Chesapeake Bay region, which was summarized for the jurisdictional impairment analysis (jurisdictions include the states of Maryland, Pennsylvania, Virginia, West Virginia, New York, and Delaware, as well as the District of Columbia). This compiled dataset contains information on a waterbody's Designated Uses, parameter impairments, and potential sources of that impairment. 2) "Multi-stressor literature summary information for Chesapeake Bay stressor identification project": A summary table of the peer-reviewed literature that was considered for the literature review meta-analysis. This dataset includes basic identifying information regarding the report, geographic location of the study, type of field study, the major source or driver that was the focus of the study, and which in-stream stressors were measured. 3) "Results from the literature review meta-analysis for the Chesapeake Stressor Identification Project": The results from the literature review meta-analysis. The dataset includes basic identifying information regarding the report, the response metric for which results were reported, the major source or driver that was the focus of the study, and whether or not the study found the stressor to be important.

This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (in review). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting benthic macroinvertebrate community metrics in the Chesapeake Bay region: 1) the peer reviewed multi-stressor literature, in which the effects multiple in-stream stressors on benthic macroinvertebrate community metrics are simultaneously assessed; and 2) reported causes of biological impairment as listed by state or district regulatory agencies in the Environmental Protection Agency's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS). This data release contains three child items: 1) "Data from the Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) for evaluating multiple stressors affecting Chesapeake Bay Watershed rivers and streams": The ATTAINS dataset is for the Chesapeake Bay region, which was summarized for the jurisdictional impairment analysis (jurisdictions include the states of Maryland, Pennsylvania, Virginia, West Virginia, New York, and Delaware, as well as the District of Columbia). This compiled dataset contains information on a waterbody's Designated Uses, parameter impairments, and potential sources of that impairment. 2) "Multi-stressor literature summary information for Chesapeake Bay stressor identification project": A summary table of the peer-reviewed literature that was considered for the literature review meta-analysis. This dataset includes basic identifying information regarding the report, geographic location of the study, type of field study, the major source or driver that was the focus of the study, and which in-stream stressors were measured. 3) "Results from the literature review meta-analysis for the Chesapeake Stressor Identification Project": The results from the literature review meta-analysis. The dataset includes basic identifying information regarding the report, the response metric for which results were reported, the major source or driver that was the focus of the study, and whether or not the study found the stressor to be important.

This data set compiles regulatory information about river and stream impairments within the Chesapeake Bay watershed as part of a Chesapeake Bay watershed multi-stressor meta-analysis project. Data are contained in a single combined and name-harmonized dataset originating from a snapshot of the Environmental Protection Agency's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) obtained in Spring of 2020. These data were clipped to only waterbodies contained in the Chesapeake Bay watershed and were designated to be free-flowing (e.g., rivers and streams). This compiled dataset contains information on a waterbody's designated uses, parameter impairments, and potential sources of that impairment. Be aware, as data on potential sources were joined to parameter impairments in a "one-parameter to many-sources" format, individual impairments might have multiple rows in this dataset, with one row for each potential source. Use of this dataset to evaluate only unique parameter impairments necessitates retaining only unique parameter and assessment unit information.

To support the development of more accurate hurricane coastal impact models, we created a dataset containing an inventory of information sources of hard shoreline structures — including seawalls, groins, bulkheads, and breakwaters — for each U.S. state along the Gulf of America and Atlantic coasts. The shoreline structure inventory was developed initially from internet searches of open data sources and then added to based on feedback from individual state agencies that we reached out to via email.

These data include estimates of landcover and land use characteristics including high phytoestrogen crop cover, estimated pesticide applications, EPA PFAS facilities, nutrients from biosolids, and select climate (temperature and precipitation) variables summarized for several fish health sites in the eastern United States.

These data include estimates of landcover and land use characteristics including high phytoestrogen crop cover, estimated pesticide applications, EPA PFAS facilities, nutrients from biosolids, and select climate (temperature and precipitation) variables summarized for several fish health sites in the eastern United States.

Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quality Portal (WQP), which is a data repository developed by the National Water Quality Monitoring Council and supported by the U.S. Environmental Protection Agency and U.S. Geological Survey, and the U.S. Geological Survey National Water Information System (NWIS). Both discrete measures of SC, which are single measures taken on a particular time and day, and continuous measures of SC, which are repeated measures of SC taken at regular, short intervals, such as 15-minute or hourly intervals, were compiled for this data release. The discrete data were also processed to screen out non-relevant observations and harmonize units. The WQP uses "MonitoringLocationIdentifier" to identify each unique site and monitoring activities, and this term is used throughout the data release to differentiate among unique sites and monitoring activities as well. The data release includes four items: 1. ["Site_inventory_for_specific_conductance_measures.csv"]: This is a site inventory of all locations where SC data had been collected and compiled for the data release. This file includes information on the monitoring location (coordinates, state, and county), the organization responsible for the data collection, the type of data available (discrete, continuous, or both) and its unique monitoring location and activity. 2. ["Discrete_specific_conductance_results.txt"]: This file contains all discrete SC observations. Identifying information (coordinates, monitoring location name and identifier), along with the observation value, units, and multiple flagging columns which denoted whether any changes were made to the observation or units during the processing steps. Full details are included in the "readme_file_for_Ches_Bay_specific_conductance_inventory.pdf" file. 3. ["Continuous_specific_conductance_results.zip"]: This zipped folder contains 89 .csv files for all the continuous USGS SC data available in the Chesapeake Bay watershed. Each file name includes each unique MonitoringLocationIdentifier. 4. ["readme_file_for_Ches_Bay_specific_conductance_inventory.pdf"]: This document describes all the processing and harmonization steps to generate the site inventory and discrete SC dataset, and for downloading the high frequency SC datasets.