gov.noaa.nmfs.inport:70481 eng UTF8 dataset GIS Files Office of Response and Restoration resourceProvider ESI Program Manager 7600 Sand Point Way NE Seattle WA 98115 orr.esi@noaa.gov pointOfContact 2026-03-04T19:17:18 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) geometryOnly complex 45 EPSG::4269 GL_LAKE_ONTARIO_2023 ESI INVERT Polygons 2023-08 publication NOAA/NMFS/EDM 70481 https://www.fisheries.noaa.gov/inport/item/70481 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://response.restoration.noaa.gov/esi_guidelines WWW:LINK-1.0-http--link ESI Guidelines Guidelines for developing ESI data content and overview of ESI data structure. Useful for data collectors and users requiring more in depth information on the ESI process. download https://response.restoration.noaa.gov/esi WWW:LINK-1.0-http--link ESI Overview Overview of ESI data content and uses. download mapDigital Prepared by Research Planning, Inc, Columbia, South Carolina for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington. These feature classes reside within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. This data set contains sensitive biological resource data for freshwater mussels and state listed insects in Lake Ontario. Vector polygons in this data set represent freshwater mussel and state listed insect distribution and concentration areas. The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Lake Ontario. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The ESI data are intended to provide baseline environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. The ESI data may be appropriate for many other coastal management efforts, though the original intent should be kept in mind. This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Emergency Response Division (ERD), Seattle, Washington. completed ESI Program Manager 7600 Sand Point Way NE Seattle WA 98115 orr.esi@noaa.gov pointOfContact ESI Program Manager 7600 Sand Point Way NE Seattle WA 98115 orr.esi@noaa.gov custodian asNeeded Data content is considered static once published. However, if issues with the Geodatabase linkages or table contents are identified, the Geodatabase and/or the associated Map Document may be updated. Assure most current data is being used by downloading from https://response.restoration.noaa.gov/esi_download and/or comparing modification dates provided at this site. https://response.restoration.noaa.gov/sites/default/files/ESI-Browse-Graphic.pdf ESI Browse Graphic depicts the relationships between the spatial data layers and the attribute data tables for an ESI geodatabase. pdf EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > SHORELINES EARTH SCIENCE > OCEANS > COASTAL PROCESSES > SHORELINES theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GREAT LAKES CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK place Global Change Master Directory (GCMD) Location Keywords 20.8 Coastal Resources Coastal Zone Management ESI Environmental Monitoring Environmental Sensitivity Index Oil Spill Planning Sensitivity Maps theme Lake Ontario place DOC/NOAA/NOS/ORR > Office of Response and Restoration, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. 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 Great Lakes - Lake Ontario ESI, 2023 project InPort otherRestrictions Cite As: Office of Response and Restoration, [Date of Access]: GL_LAKE_ONTARIO_2023 ESI INVERT Polygons [Data Date Range], https://www.fisheries.noaa.gov/inport/item/70481. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Besides the above warnings, there are no use constraints on these data. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data. otherRestrictions Distribution Liability: Although these data have been processed and used successfully on a computer system at the National Oceanic and Atmospheric Administration (NOAA), no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format. If problems are encountered in downloading the ESI data or with file corruption, contact NOAA (see Distributor). These data represent a snapshot in time and temporal changes may have occurred. The data are not intended to include all biological or human-use resources present in an area; they focus on species and resources particularly sensitive to oiling. In the event of a spill, they should be used for a first assessment only. The data providers are the experts with regard to individual resources. They should be contacted to confirm if more current data exist or if in-depth information is needed about a particular resource. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 70481 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/orr/dmp/pdf/70481.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector textTable eng; US environment The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop(R), ArcPro(R), and SQL SERVER(R). The hardware configuration is PC's with Microsoft Windows Operating System. This reflects the extent of all features included in the Great Lakes Lake Ontario 2023 ESI Geodatabase study region. The bounding box for this particular feature class may vary depending on occurrences identified and mapped. -79.125 -76 43.125 44.125 Bounding box for the Great Lakes Lake Ontario study region. The time period that represents this data layer (INVERT) in the Great Lakes Lake Ontario 2023 ESI atlas. | Currentness: Publication Date 2021 2022 false eng false GIS File Data Table INVERT 2023-09-26 publication BIOCOMB 2023-09-26 publication SOURCES 2023-09-26 publication ESRI File Geodatabase Zip Office of Response and Restoration 1305 East-West Highway Silver Spring MD 20910 https://response.restoration.noaa.gov/ WWW:LINK-1.0-http--link ORR Home Page Website listed for Office of Response and Restoration information distributor https://response.restoration.noaa.gov/esi_download WWW:LINK-1.0-http--link GL_LAKE_ONTARIO_GEOG_NAD83.GDB This feature class is part of the downloadable Esri Arc Geodatabase. download dataset Accuracy A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, check the sources listed in the Lineage section. Completeness Report These data represent a synthesis of expert knowledge, available hardcopy documents, and digital data on freshwater mussel and state listed insect distribution and concentration areas. These data do not necessarily represent all invertebrate occurrences in Lake Ontario. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 107, Creeper, Strophitus undulatus; 367, Eastern pondmussel, Ligumia nasuta; 554, Eastern elliptio, Elliptio complanata; 557, Eastern lampmussel, Lampsilis radiata; 632, Eastern floater, Pyganodon cataracta; 662, Hairy-necked tiger beetle, Cicindela hirticollis; 681, Paper pondshell, Utterbackia imbecillis; 739, Black sandshell, Ligumia recta; 747, Lilliput, Toxolasma parvum; 757, Elktoe, Alasmidonta marginata; 760, Deertoe, Truncilla truncata; 763, Rainbow, Cambarunio iris; 767, Cylindrical papershell, Anodontoides ferussacianus; 768, Flutedshell, Lasmigona costata; 769, Fragile papershell, Potamilus fragilis; 770, Giant floater, Pyganodon grandis; 771, Pink heelsplitter, Potamilus alatus; 772, Plain pocketbook, Lampsilis cardium; 780, Fatmucket, Lampsilis siliquoidea; 781, Creek heelsplitter, Lasmigona compressa; 782, Wabash pigtoe, Fusconaia flava; 785, Threeridge, Amblema plicata; 799, Bogbean Buckmoth, Hemileuca maia menyanthevora; 1074, Pyganodon species, Pyganodon ssp.. Conceptual Consistency A multi-stage error checking process, described in the above Attribute Accuracy Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the GIS manager, before the complete Geodatabase and metadata are created. After the data are delivered to NOAA, they are again subjected to several consistency checks, and processed into the final delivery format. Three main sources of data were used to depict invertebrate distribution and seasonality for this data layer: 1) personal interviews with resource experts from the U.S. Fish and Wildlife Service (USFWS); 2) numerous published and unpublished reports; and 3) vector digital data provided by New York State Department of Environmental Conservation (NYSDEC). 2023-08-15T00:00:00 ESI Program Manager orr.esi@noaa.gov processor The above digital and/or hardcopy sources were compiled by the project biologist to create the INVERT data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:42,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the INVERT data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created. 2023-08-15T00:00:00 ESI Program Manager orr.esi@noaa.gov processor Source Contribution: INVERT INFO; VECTOR DIGITAL DATA VIA EMAIL. NEW YORK NATURAL HERITAGE PROGRAM RECORDS OF RARE PLANTS AND RARE ANIMALS NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION originator 2022 Source Contribution: INVERT INFO; EXPERT KNOWLEDGE VIA EMAIL. NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION SULLIVAN, T. (U.S. FISH AND WILDLIFE SERVICE) originator 2022 Source Contribution: INVERT INFO; VECTOR DIGITAL DATA VIA EMAIL. NYSDEC REGION 8 DOCUMENTED RECORDS OF MUSSEL SPECIES MAHAR, A. AND J. LANDRY (NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION (NYSDEC) originator 2020 2021 otherRestrictions otherRestrictions Access Constraints: None | Use Constraints: None