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 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 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 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.

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.

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.

The Coastal Change Analysis Program (C-CAP) at NOAA Office for Coastal Management partnered with The Massachusetts Department of Environmental Protection Wetlands Conservancy Program (DEP-WCP) and Office of Coastal Zone Management (CZM) to produce a digital coverage of submerged aquatic vegetation, primarily eelgrass (Zostera marina) along the Atlantic coast of Massachusetts. Conventional color metric aerial photography at a scale of 1:20,000 was acquired form 1994-1996 according to stringent parameters detailed in the C-CAP protocol (https://coast.noaa.gov/crs/lca/ccap.html). The photography was photointerpreted by DEP-WCP using a biocular stereoscope (Cartographic Engineering Modular Stereoscope Model SB 190). Polygons of eelgrass were delineated onto acetate overlays affixed to each photograph. Extensive fieldwork was conducted to develop signatures and gather surface level data where the presence or extent of habitat was not apparent from the photography. An underwater video camera was utilized in this effort. The aerial photos, with the interpreted acetates attached, were scanned using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dpi resulting in a pixel resolution of .85 meters. The resulting image file was rectified (bilinear 2nd order) by C-CAP to 1 meter black and white and color digital orthophotos supplied by CZM. The polygon delineation from the rectified image was then digitized onscreen. In addition, a point file was generated based on field-verified sites as well as all occurrences of widgeon grass (Ruppia maritima) and algae. The rectification and digitization was completed utilizing the ERDAS Imagine software package. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02." The polygon vector coverage was accuracy assessed by C-CAP and DEP-WCP in July 1997 and September 1998. The assessment was based on random points generated within the polygon boundaries. Navigation to each point in the field was accomplished using real time differential GPS. The underwater video camera was used to verify the presence of the mapped feature at the random point. The accuracy of the mapped grass was 85.4 % (175 of 205 sites mapped correct). Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov