gov.noaa.nodc:0295082 eng utf8 dataset NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NOAA Contact Information Information for contacts at NCEI. information custodian 2025-12-14T19:41:19Z ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) NCCOS Assessment: Pilot Framework for Fish Habitat Assessments Across Tidal and Non-Tidal Waters in the Patuxent River Basin, 1999-05-22 to 2022-10-06 (NCEI Accession 0295082) 2024-07-19 publication 2024-07-15 creation International DOI Foundation (IDF) 10.25921/wpwv-zj89 NOAA National Centers for Environmental Information gov.noaa.nodc:0295082 NCEI Archive Management System 0295082 NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information publisher NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information resourceProvider Hannah Nisonson Consolidated Safety Services-Dynamac (CSS) hannah.nisonson@noaa.gov https://www.css-inc.com/ HTTPS Consolidated Safety Services-Dynamac (CSS) website Institution web page information principalInvestigator Alexander Kiser U.S. Geological Survey Eastern Ecological Science Center at the Leetown Research Laboratory (USGS-EESC) akiser@usgs.gov principalInvestigator Hannah Nisonson Consolidated Safety Services-Dynamac (CSS) hannah.nisonson@noaa.gov https://www.css-inc.com/ HTTPS Consolidated Safety Services-Dynamac (CSS) website Institution web page information pointOfContact NOAA National Centers for Coastal Ocean Science (NCCOS) NCCOS Data Manager nccos.data@noaa.gov https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information pointOfContact Kelly Maloney United States Geological Survey (USGS) https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information collaborator Stephen Faulkner United States Geological Survey (USGS) https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information collaborator Richard Tian Chesapeake Biological Laboratory (UMCES CBL) http://www.cbl.umces.edu HTTP Chesapeake Biological Laboratory (UMCES CBL) website Institution web page information collaborator Mark Monaco NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information collaborator Ryan Woodland Chesapeake Biological Laboratory (UMCES CBL) http://www.cbl.umces.edu HTTP Chesapeake Biological Laboratory (UMCES CBL) website Institution web page information collaborator Bob Murphy Tetra Tech, Inc. collaborator Nisonson, Hannah CSS, Inc., under contract to NOAA National Centers for Coastal Ocean Science https://www.css-inc.com/ HTTPS Consolidated Safety Services-Dynamac (CSS) website Institution web page information author Kiser, Alexander U.S. Geological Survey Eastern Ecological Science Center at the Leetown Research Laboratory (USGS-EESC) https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Gressler, Benjamin U.S. Geological Survey, Eastern Ecological Science Center https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author Leight, Andrew Marine Spatial Ecology Division, National Centers for Coastal Ocean Science National Ocean Service https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information author Young, John U.S. Geological Survey, Eastern Ecological Science Center https://www.usgs.gov/ HTTPS United States Geological Survey (USGS) website Institution web page information author NOAA National Centers for Coastal Ocean Science (NCCOS) https://coastalscience.noaa.gov/ HTTPS NOAA National Centers for Coastal Ocean Science (NCCOS) website Institution web page information contributor Tetra Tech, Inc. contributor tableDigital This dataset includes the data that was used for the tidal portion of the joint pilot fish habitat assessment. Additional data for non-tidal waters is being archived by USGS in ScienceBase. This data collection contains geospatial data of environmental layers used in the model analysis as well as the outputs of an ensemble fish habitat prediction model. It includes layer inputs at 3 different spatial scales (10x10m, 100x100m, and 1000x1000m) for the following environmental predictive variables: substrate bottom, distance to hardened shoreline, distance to submerged aquatic vegetation beds, distance to protective areas, dissolved oxygen, salinity, water quality, and benthic index of biotic integrity all in the form of TIF files (.tiff). There were 16 total inputs per resolution scale all cropped to a tidal waterbody boundary for the Patuxent watershed. This boundary is also included in the data collection and is represented as a single feature polygon shapefile (.shp). Lastly, there is a csv file containing presence sites for white perch sampled from a variety of different fish survey datasets. These were collected and joined to represent fish presence within the tidal portion of the Patuxent watershed and includes associated spatial and temporal data. For more information see (Nisonson et al., 2024). As part of the 2014 Chesapeake Bay Watershed Agreement (CBP, 2014), all Bay States and the District of Columbia have committed to improving the condition of the Bay, which includes a goal to achieve sustainable fisheries. One outcome under that broad goal is improved effectiveness of fish habitat conservation and preservation efforts. In support of that outcome, the U.S. Geological Survey Eastern Ecological Science Center (USGS-EESC) and the National Oceanic and Atmospheric Association’s National Centers for Coastal Ocean Science (NOAA-NCCOS) are actively developing datasets, methods, and analyses to conduct fish habitat assessments in the Chesapeake Bay watershed, guided by recommendations from a regional stakeholder workshop held by the Chesapeake Bay Program’s (CBP) Fish Habitat Action Team (FHAT) in 2018 (Hunt et al., 2018). The joint USGS and NOAA team has been collaborating on methods for conducting inland and estuarine assessments and exploring whether a seamless headwater to estuary assessment could be developed. The goals of this assessment are to benefit both State and Federal fisheries managers, help advance fisheries science, and provide beneficial information for the public. While past national and regional assessments (e.g. the National Fish Habitat Partnership National Assessment (Greene et al., 2015; Esselman et al., 2011)) treated inland and estuarine fish habitat conditions separately due to differences in environments, GIS data representation, and data availability, a seamless habitat assessment could be of value for a broad range of stakeholders as many fish species, several of which are invasive or under federal jurisdiction, use habitats across both inland and estuarine waters. This project developed a pilot framework, explored and tested methods necessary for a finer scale, seamless assessment across both inland and estuarine waters, and demonstrated its use. Although there was interest by the CBP FHAT for the generation of a Baywide fish habitat assessment that spanned tidal salt, tidal fresh, warm non-tidal and cold non-tidal waters (Hunt et al., 2018), there are a myriad of implementation details and considerations around conducting a Baywide assessment across all four of these general habitat areas. Therefore, the practical need to conduct a tributary-specific pilot assessment arose. At the beginning of this pilot process, members of the FHAT were presented with a decision matrix to choose a study basin using factors such as data availability and tributary size. FHAT members chose the Patuxent River basin, which has been relatively well sampled and studied. Several spatial frameworks were considered before selection of an inclusive gridded framework for summary and analysis that represented inland drainage networks and landscape influences as well as estuarine bathymetry. A suite of landscape and in-water stressor variables were summarized into the framework and were largely generalized over time. In order to assess the viability of the framework, we chose to use species distribution modeling (Kiser et al., 2022) for each of the species to test the framework’s ability to predict habitat use of non-tidal resident, estuarine resident, and migratory species. Tessellated darter (Etheostoma olmstedi), American eel (Anguilla rostrata), and white perch (Morone americana) were chosen as illustrative fish species based on data availability, and differences in life history and habitat use. A nested modeling approach, which involved successive model runs at multiple scales (1000m, 100m, and 10m raster grids) was developed to examine differences in variable importance at different spatial scales and to enhance modeling efficiency. For white perch, a complementary modeling analysis was performed for variables available only in estuarine waters. For all testing, an ensemble modeling approach was conducted, using a suite of potential statistical techniques driven by model strength and variable predictive power. Funding Agency: Funding to support USGS efforts provided by the US Department of the Interior (DOI), USGS, Ecosystems Mission Area, Priority Ecosystem Studies, Chesapeake Bay Science Studies program and by the Eastern Ecological Science Center Funding Agency: NOAA National Centers for Coastal Ocean Science NCCOS Partners: Chesapeake Bay Fish Habitat Action Team (FHAT) NCCOS Partners: Chesapeake Bay Program Sustainable Fisheries Goal Implementation Team (FishGIT) NCCOS Partners: Tetra Tech, Inc. completed historicalArchive NOAA National Centers for Environmental Information ncei.info@noaa.gov https://www.ncei.noaa.gov/contact HTTPS NCEI Contact Information Information for contacts at NCEI. information pointOfContact asNeeded https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0295082 Preview graphic PNG 0295082 NCEI ACCESSION NUMBER 2024-07-01 publication biological data DISSOLVED OXYGEN HABITAT - BENTHIC SALINITY SUBSTRATE DESCRIPTION WATER TEMPERATURE theme NODC DATA TYPES THESAURUS Multi-parameter Inorganic Carbon Analyzer (MICA) instrument NODC INSTRUMENT TYPES THESAURUS in situ theme NODC OBSERVATION TYPES THESAURUS NOAA National Centers for Coastal Ocean Science Tetra Tech, Inc. dataCentre NODC COLLECTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science dataCentre NODC SUBMITTING INSTITUTION NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Chesapeake Bay Program PRISM Climate Group, Oregon State University U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) project Provider Project Names EARTH SCIENCE > BIOLOGICAL CLASSIFICATION EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY theme Global Change Master Directory (GCMD) Science Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Marine Spatial Ecology > Ecological and Biogeographic Assessments theme NCCOS Research Areas Geospatial theme NCCOS Research Data Types Benthic Index of Biotic Integrity (measured and calculated) Bottom Substrate Group (Coastal and Marine Ecological Classification Standard) Dissolved Oxygen (measured and then calculated via interpolation) Fisheries independent survey data Salinity (measured and then calculated via interpolation) Water Temperature (measured and then calculted via interpolation) theme Provider Keywords CARBON ANALYZERS > CARBON ANALYZERS instrument Global Change Master Directory (GCMD) Instrument Keywords 2026 revision 23 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) Greenbelt MD https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords HTTPS GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian YSI 6600 sondes YSI EXO sondes anchored sensors instrument Provider Instruments U.S. States and Territories > Maryland Waterbodies > Chesapeake Bay place NCCOS Regions of Study Maryland Patuxent place Provider Place Names B35NJG Send2NCEI Submission Package ID accessLevel: public otherRestrictions Cite as: Nisonson, Hannah; Kiser, Alexander; Gressler, Benjamin; Leight, Andrew; Young, John (2024). NCCOS Assessment: Pilot Framework for Fish Habitat Assessments Across Tidal and Non-Tidal Waters in the Patuxent River Basin, 1999-05-22 to 2022-10-06 (NCEI Accession 0295082). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/wpwv-zj89. Accessed [date]. Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. Chesapeake Bay Program (CBP). (2014). 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W. author University of Wisconsin Press publisher documentDigital Ecological Restoration 29(1-2) ISSN 1522-4740, ISSN 1543-4079, pp. 133-151 crossReference Greene, C. M., Blackhart, K., Nohner, J., Candelmo, A., & Nelson, D. M. (2014). A National Assessment of Stressors to Estuarine Fish Habitats in the Contiguous USA. Estuaries and Coasts, 38(3), 782–799. https://doi.org/10.1007/s12237-014-9855-9 2014-08-01 publication International DOI Foundation (IDF) https://doi.org/10.1007/s12237-014-9855-9 https://doi.org/10.1007/s12237-014-9855-9 HTTPS https://doi.org/10.1007/s12237-014-9855-9 related journal article information Greene, Correigh M. author Blackhart, Kristan author Nohner, Joe author Candelmo, Allison author Nelson, David Moe author Springer Science and Business Media LLC publisher documentDigital Estuaries and Coasts 38(3) ISSN 1559-2723, ISSN 1559-2731, pp. 782-799 crossReference Kiser, A. H., Cummings, K. S., Tiemann, J. S., Smith, C. H., Johnson, N. A., Lopez, R. 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Texas A&M AgriLife Research Center at Dallas Texas A&M Natural Resources Institute Dallas Texas USA author Randklev, Charles R. Texas A&M AgriLife Research Center at Dallas Texas A&M Natural Resources Institute Dallas Texas USA author Wiley publisher documentDigital Ecology and Evolution 12(5) ISSN 2045-7758, ISSN 2045-7758 crossReference Maloney, K. O., Krause, K. P., Cashman, M. J., Daniel, W. M., Gressler, B. P., Wieferich, D. J., & Young, J. A. (2022). Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA. 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National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection [NHDPLUS_H_0206_HU4_GDB]. https://www.usgs.gov/national-hydrography 2023 publication https://www.usgs.gov/national-hydrography HTTPS https://www.usgs.gov/national-hydrography GIS Dataset download U.S. Geological Survey author U.S. Geological Survey publisher crossReference collection Hjort Center for Chesapeake Bay Data. "Chesapeake Bay Data Portal." Accessed 2023. Available at: https://hjort.cbl.umces.edu/cfdata.html 2023 publication https://hjort.cbl.umces.edu/cfdata.html HTTPS https://hjort.cbl.umces.edu/cfdata.html Dataset Webpage download Hjort Center for Chesapeake Bay Data author Hjort Center for Chesapeake Bay Data publisher crossReference collection Maryland Department of Natural Resources. "Juvenile Striped Bass Index." Accessed 2023. Available at: https://dnr.maryland.gov/fisheries/pages/striped-bass/juvenile-index.aspx 2023 publication https://dnr.maryland.gov/fisheries/pages/striped-bass/juvenile-index.aspx HTTPS https://dnr.maryland.gov/fisheries/pages/striped-bass/juvenile-index.aspx Project Webpage download Maryland Department of Natural Resources author Maryland Department of Natural Resources publisher crossReference collection Sustainable Fisheries Goal Implementation Team (GIT1) 2024 publication https://www.chesapeakebay.net/who/group/sustainable-fisheries HTTPS https://www.chesapeakebay.net/who/group/sustainable-fisheries Sustainable Fisheries Program Webpage information Chesapeake Bay Program (CBP) author Chesapeake Bay Program (CBP) publisher crossReference program Comprehensive Evaluation of System Response 2023 publication https://www.chesapeake.org/stac/cesr/ HTTPS https://www.chesapeake.org/stac/cesr/ Program Webpage information Chesapeake Research Consortium, Inc author Chesapeake Research Consortium, Inc publisher crossReference collection USGS Chesapeake Bay Studies - Data Catalog 2022 publication https://www.usgs.gov/tools/usgs-chesapeake-bay-studies-data-catalog HTTPS https://www.usgs.gov/tools/usgs-chesapeake-bay-studies-data-catalog Data Catalog download U.S. Geological Survey (USGS) author U.S. Geological Survey (USGS) publisher crossReference collection Joint Pilot Fish Habitat Framwork: Integrating Tidal and Non-Tidal Waters in the Patuxent River Basin 2024 publication https://noaa.maps.arcgis.com/home/item.html?id=0902bfe6a2ed408488a13bf4227c9ab8 HTTPS https://noaa.maps.arcgis.com/home/item.html?id=0902bfe6a2ed408488a13bf4227c9ab8 ArcGIS Online Story Map download Nisonson,Hannah author National Oceanic and Atmospheric Administration (NOAA) publisher crossReference collection eng; USA utf8 environment oceans biota -76.8307526 -76.3035555 38.346014 38.721917 1999-05-22 2022-10-06 Methods: All data were standardized to the same spatial coordinate reference system (CONUS Albers NAD83, EPSG 6350). Environmental data were compiled from a wide range of sources, leveraging a metadata catalog (USGS Chesapeake Bay Studies - Data Catalog | U.S. Geological Survey) assembled by the team specifically for Chesapeake Bay fish habitat assessments. The team attempted to collect the most recent data available, though various data sources extended over the last 30 years. Because many variables were not collected consistently over that time period, we choose to “flatten” the data over time and conduct the analysis as a snapshot in time rather than an assessment of change in habitat over time. In order to test the framework and the modeling approach, a broad suite of predictor data for the watershed was included in the assessment to include variables of different spatial formats and to allow for a data-driven selection of factors based on data mining and statistical analysis, rather than a predetermined selection by the team members. With this in mind, our team took into consideration many environmentally driven factors previously used in fish habitat assessments (e.g. Esselman et al., 2011; Green et al., 2015, Maloney et al., 2022, Monaco et al., 1998) as well as a variety of topographic and DEM based variables used to analyze finer upstream hydrodynamic processes. NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov pointOfContact In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media. Contact NCEI for other distribution options and instructions. CSV XML PDF TIFF JPEG SHP 31.056 https://doi.org/10.25921/wpwv-zj89 HTTPS Web browser NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/oas/295082 HTTPS Web browser Descriptive Information Navigate directly to the URL for a descriptive web page with download links. information https://www.ncei.noaa.gov/archive/accession/download/295082 HTTPS Web browser HTTPS Navigate directly to the URL for data access and direct download. download ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0229/0295082/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP). download dataset NCEI Accession 0295082 v1.1 was published. 2024-07-19T18:22:28Z NCEI Accession 0295082 v1.1 publication https://www.ncei.noaa.gov/archive/accession/0295082/1.1 HTTPS NCEI Accession 0295082 v1.1 published 2024-07-19T18:22:28Z download dataset Parameter or Variable: Bottom Substrate Group (Coastal and Marine Ecological Classification Standard) (measured); Units: percent; Observation Category: in situ; Sampling Instrument: unknown; Sampling and Analyzing Method: Benthic data were aggregated from multiple sources to create a baywide record of seabed material in the Chesapeake Bay. Habitat polygons are classified with the Coastal and Marine Ecological Classification Standard (CMECS) Substrate Component (SC). ESRI ArcGIS versions between 2011 and the present have been used to delineate polygon boundaries from acoustic survey spatial data products and sediment samples from local and national databases. Source data were collected during the interval 1842-2015. Because of potential temporal changes in bottom conditions and deficiencies in survey methodology, benthic habitat characterizations may be in error in some areas. These are, however, the best data currently available. This is a dynamic dataset. As new surveys occur the resulting CMECS habitat units will be updated (https://www.fisheries.noaa.gov/inport/item/29682). CMECS data was manipulated to portray % coverage of bottom substrate within a given raster cell.; Data Quality Method: The integration of existing datasets are considered as is. New polygon data is validated with grab samples. The data should be considered accurate for the time in which it was collected and the inherent limitation of the data collection methods should be considered (https://www.fisheries.noaa.gov/inport/item/29682). Parameter or Variable: Water Temperature (measured and then calculted via interpolation) (measured); Units: Celsius; Observation Category: in situ and model output; Sampling Instrument: The instruments generally used by the Continuous Monitoring Program are YSI 6600 and YSI EXO sondes. While some meters are ancho; Sampling and Analyzing Method: Field biologists visit sites by small boat, research vessel, pier, bridge, or shoreline (Maryland Department of Natural Resources “Eyes on the Bay” Water Quality Monitoring Program). Measurements are taken with an autonomous data instrument and samples are gathered for analysis (https://eyesonthebay.dnr.maryland.gov/contmon/ContinuousMonitoring.cfm). Data from the Continuous Monitoring and Water Quality Mapping is then taken into an interpolator specifically designed to interpolate water quality metrics throughout the bay.; Data Quality Method: Automated data quality assurance checks are performed and reviewed by field biologists. Data analysts review data for additional error correction/data flagging (https://eyesonthebay.dnr.maryland.gov/eyesonthebay/DataProcess.cfm). The Chesapeake Bay and tidal Tributary River Interpolator that was used to interpolate the water quality data is a standalone application that interpolates water quality sample concentrations on the surface or throughout the 3D volume of the Bay and tidal tributaries ((Bahner et al., 2001). Parameter or Variable: Salinity (measured and then calculated via interpolation) (measured); Units: Parts per thousand (ppt); Observation Category: in situ and model output; Sampling Instrument: The instruments generally used by the Continuous Monitoring Program are YSI 6600 and YSI EXO sondes. While some meters are ancho; Sampling and Analyzing Method: Field biologists visit sites by small boat, research vessel, pier, bridge, or shoreline (Maryland Department of Natural Resources “Eyes on the Bay” Water Quality Monitoring Program). Measurements are taken with an autonomous data instrument and samples are gathered for analysis (https://eyesonthebay.dnr.maryland.gov/contmon/ContinuousMonitoring.cfm). Data from the Continuous Monitoring and Water Quality Mapping is then taken into an interpolator specifically designed to interpolate water quality metrics throughout the bay.; Data Quality Method: Automated data quality assurance checks are performed and reviewed by field biologists. Data analysts review data for additional error correction/data flagging (https://eyesonthebay.dnr.maryland.gov/eyesonthebay/DataProcess.cfm). The Chesapeake Bay and tidal Tributary River Interpolator that was used to interpolate the water quality data is a standalone application that interpolates water quality sample concentrations on the surface or throughout the 3D volume of the Bay and tidal tributaries ((Bahner et al., 2001). Parameter or Variable: Dissolved Oxygen (measured and then calculated via interpolation) (measured); Units: Milligram per Liter (mg/L); Observation Category: in situ and model outputt; Sampling Instrument: The instruments generally used by the Continuous Monitoring Program are YSI 6600 and YSI EXO sondes. While some meters are ancho; Sampling and Analyzing Method: Field biologists visit sites by small boat, research vessel, pier, bridge, or shoreline (Maryland Department of Natural Resources “Eyes on the Bay” Water Quality Monitoring Program). Measurements are taken with an autonomous data instrument and samples are gathered for analysis (https://eyesonthebay.dnr.maryland.gov/contmon/ContinuousMonitoring.cfm). Data from the Continuous Monitoring and Water Quality Mapping is then taken into an interpolator specifically designed to interpolate water quality metrics throughout the bay.; Data Quality Method: Automated data quality assurance checks are performed and reviewed by field biologists. Data analysts review data for additional error correction/data flagging (https://eyesonthebay.dnr.maryland.gov/eyesonthebay/DataProcess.cfm). The Chesapeake Bay and tidal Tributary River Interpolator that was used to interpolate the water quality data is a standalone application that interpolates water quality sample concentrations on the surface or throughout the 3D volume of the Bay and tidal tributaries ((Bahner et al., 2001). Parameter or Variable: Benthic Index of Biotic Integrity (measured and calculated) (measured); Units: Unitless (values 1-5 describing overall benthic health in that location); Observation Category: multiple; Sampling Instrument: multiple; Sampling and Analyzing Method: Fixed Station Replicate Averaged Benthic Index of Biotic Integrity Value from the Maryland Chesapeake Bay Program for Benthic Monitoring was aggregated and joined with their corresponding sampling event record in R giving each IBI score spatial and temporal data (https://baybenthos.versar.com/data.htm). This was joined to the nearest 10m raster cell in ArcGIS Pro version 3.2.1 and aggregated bilinearly to reach resolutions of 100m and 1000m.; Data Quality Method: Data quality control was done in R to assess that each station correctly correlated with the associated corresponding MDBE_IBI.txt file. asNeeded Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness. NOAA National Centers for Environmental Information custodian Multi-parameter Inorganic Carbon Analyzer (MICA) Multi-parameter Inorganic Carbon Analyzer (MICA) automated Multi-parameter Inorganic Carbon Analyzer (MICA) for autonomous measurement of pH, carbon dioxide (CO2) and dissolved inorganic carbon (DIC) The automated Multi-parameter Inorganic Carbon Analyzer (MICA) is used to simultaneously measure underway surface seawater pH, fCO2, and TCO2.