AndreaBozzo/ceres-open-data-index huggingface dataset:
Essential Fish Habitat

Essential Fish Habitat This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays Essential Fish Habitat (EFH) in the United States. Per [NOAA], "Fish and other marine species depend on their habitat to survive and reproduce. Congress improved the nation's primary fisheries law in 1996 to recognize the importance of healthy habitat for commercial and recreational fisheries." Data Disclaimer for Nationwide EFH: This GIS data layer is a composite of regional designations for EFH. Note: The inland extents were defined by medium to low resolution coastline data and may be subject to coastline artifacts. [USDOC NOAA Essential Fish Habitat _ 800x400 _ screen capture] Longfin Mako Shark EFH Data currency: 03/10/2021 Data source: [Essential Fish Habitat - Data Inventory] Data modification: None For more information: [Essential Fish Habitat]; [Essential Fish Habitat Mapper] For feedback please contact: [ArcGIScomNationalMaps@esri.com] National Oceanic and Atmospheric Administration Per [NOAA], its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."
Gulf Stream Boundary

Retirement Notice: This item is in [mature support] as of June 2026 and will be retired in December 2028. A [new version of this item] is available for your use. Esri recommends updating your maps and apps to use the new version. The Gulf Stream is a strong ocean current that brings warm water from the Gulf of Mexico into the Atlantic Ocean. It extends all the way up the eastern coast of the United States and Canada. The position of the Gulf Stream is always changing based on water temperatures and currents. This layer is derived from the [Gulf Stream ASCII Data] provided to the Ocean Prediction Center by the [Naval Oceanographic Office (NAVO)]. The northern and southern wall boundary is updated daily.
Coral Bleaching Alert Level

Beta Notice: This item is currently in [beta] and is intended for early access, testing, and feedback. It is not recommended for production use, as functionality and content are subject to change without notice. The Bleaching Alert Area (7-day maximum) product is updated daily, after the corresponding seven Bleaching Alert Area single-day products. The 7-day composite product shows the maximum stress level that a satellite pixel has experienced during the most recent seven consecutive days, as depicted by the corresponding seven Bleaching Alert Area single-day products. Data and images are dated on the last day of the 7-day period. The bleaching alert level provides a cumulative look backwards at consecutive days and weeks above predetermined thresholds to help determine the level of severity of potential coral bleaching. This layer is routinely updated. When the source netcdf files are made available from NOAA the data are retrieved, processed, and made available by appending to this layer. Phenomenon Mapped: Bleaching Alert Units: 0-5; corresponding to levels of bleaching intensity Time Interval: Daily Time Extent: 1985/03/15 to present Cell Size: (0.05 degrees) ~ 5km Source Type: Thematic Pixel Type: 8-bit Integer Data Projection: GCS WGS84 Mosaic Projection: GCS WGS84 Extent: Global Oceans Source: NOAA Coral Reef Watch Update Cycle: Daily Latency: +/- 7 days ArcGIS Server URL: https://oceans5.arcgis.com/arcgis Bleaching Alert Levels: * 0 - No Stress; * 1 - Bleaching Watch; * 2 - Bleaching Warning; * 3 - Bleaching Alert Level 1; * 4 - Bleaching Alert Level 2. Product description is provided at [https://coralreefwatch.noaa.gov/product/5km/index.php] The source data for this layer comes from the [NOAA Coral Reef Watch (CRW)] program. More information about the Bleaching Alert Area product from CRW: [https://coralreefwatch.noaa.gov/product/5km/tutorial/crw11a_baa.php]
National Data Buoy Center Station Observations

Retirement Notice: This item is in [mature support] as of June 2026 and will be retired in December 2028. A [new version of this item] is available for your use. Esri recommends updating your maps and apps to use the new version. Buoys provide meteorological and oceanographic measurements for the marine environment. This information is made available through the National Data Buoy Center (NDBC) and this layer pulls updates direct from the NDBC hourly (at the top of the hour). The most recent observation data is made available for each of the stations. More info: [https://www.ndbc.noaa.gov/] Thirteen variables are available in this feed, including: * Wind speed, gust, and direction * Sea state * Air and water temperature * Dep point * Visibility * Pressure
NCEI Bathymetric Attributed Grid (BAG) Mosaic

This image service provides a seamless mosaic of high-resolution quality-controlled seafloor elevation from NOAA National Ocean Service (NOS) Hydrographic Survey Bathymetric Attributed Grids (BAGs) in U.S. coastal waters. Many near-shore areas have been mapped at high resolution (often 1 meter or better). The depths are usually relative to Mean Lower Low Water (MLLW) datum. BAG is a non-proprietary file format for storing and exchanging bathymetric data developed by the Open Navigation Surface Working Group. BAG files are gridded, multi-dimensional bathymetric data files and is the standard NOS hydrographic data file for public release. Current versions of the BAG file contain position and depth grid data, as well as position and uncertainty grid data, and the metadata specific to that BAG file, providing end users information about the source and contents of the BAG file. The corresponding [NOS Hydrographic Surveys map service] displays the locations and coverage of the hydrographic surveys as polygons, along with additional metadata and links to obtain the data. This image service is available in 3 versions: [Tile Layer] (overview of all surveys in a continuous image) Note: this is a tiled image service, cached to zoom level 14. [Dynamic Image Service] (overview of all surveys in a continuous image) [Subsets version] (access to the underlying images; allows subsets using a definition query; maximum of 80 rasters displayed at a time) This service has several server-side functions available. These can be selected in the ArcGIS Online layer using "Image Display", or in ArcMap under "Processing Templates". * None: Provides depth values in meters. Usually relative to mean lower low water (MLLW), except for some rivers/lakes (see the survey metadata for details). * ColorHillshadeBAG: An elevation-tinted hillshade visualization. This is also available as a separate [tile layer] (faster to draw). The depths are displayed using this color ramp: The [NCEI Bathymetric Data Viewer] ([NOAA GeoPlatform entry]) can be used to search and display these data. [More information about NOS Hydrographic Survey data available at NCEI]. Last update: May 8, 2026
EPA-Designated MPRSA Ocean Sites

Site boundaries of ocean sites designated by the EPA under the MPRSA. The EPA designates and manages ocean sites for certain materials permitted under the MPRSA. Locations for designated MPRSA ocean sites are selected to minimize the risk of potentially adverse impacts of the disposed material on human health and the marine environment. Designated ocean sites are published in the Code of Federal Regulations at 40 CFR 228.15. As of August 2025, the EPA’s Marine Protection Permitting Program manages 96 designated MPRSA ocean sites. The number of ocean sites may vary slightly from year to year as the EPA designates a new site or cancels (de-designates) a site that is no longer needed. All but one of the currently designated ocean sites are for dredged material permitted or authorized under the MPRSA. There is currently one EPA-designated ocean site for the disposal of fish processing wastes off American Samoa. For more information about MPRSA ocean sites, please visit: https://www.epa.gov/ocean-dumping/mprsa-ocean-sites All coordinates have been transformed to WGS 84. Note: This map is for informational purposes only and has not been prepared for, nor is it suitable for, legal or related matters. Point of contact: Betsy Valente, Valente.Betsy@epa.gov
World Marine Regions Boundaries

Overview This Feature Service provides detailed polygons representing the major physical marine regions across the globe, including oceans, seas, bays, and other large water bodies. These spatial boundaries offer a comprehensive view of marine regions as defined and attributed by an international team of volunteers, primarily derived from Patterson's Physical Map of the World. Feature Layer * World Marine Regions: This layer includes polygons that delineate different marine geographic regions. The data is attributed with fields such as the region's name, scalerank indicating importance or scale, and labels for mapping purposes. These regions are intended to represent physical boundaries at a scale roughly accurate to 50 million scale but detailed to 10 million scale, useful for thematic mapping and marine spatial analysis. Geographic Coverage This dataset provides a global overview, covering all major oceanic and sea regions worldwide, providing context and structure for oceanographic, environmental, and geographic studies. Use Cases * Mapping and analysis of marine regions for educational and research purposes. * Supporting marine spatial planning and conservation efforts. * Providing a base layer for oceanographic and environmental GIS analyses. Source and Licensing The data originates from Natural Earth and is public domain. It can be used freely for personal, educational, and commercial purposes without permission. While boundaries are roughly accurate, users are encouraged to perform map algebra operations with consideration of the scale and the nature of the source data. Source Download: [https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-physical-labels/]
Ecological Coastal Units  (ECUs)

This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). These data were developed as part of a Group on Earth Observations (GEO) initiative called GEO Ecosystems (GEO ECO), and is associated with a GEO ECO task to develop global coastal ecosystems data. The data allows for the visualization and query of any stretch of coastline on Earth, except for Antarctica. The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself. The 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the [Coastal and Marine Ecosystem Classification Standard (CMECS)]. Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables. See this [video] for an animation showing ECU coverage and classification. Reference: Sayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. [Earth's coastlines]. In Wright, D. and C. Harder (eds), GIS For Science, Volume 3: Maps for Saving the Planet. Esri Press, Redlands, California. Sayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography – A Special Blue Planet Edition. [DOI:10.1080/1755876X.2018.1529714]. Contacts: [Roger Sayre], U.S. Geological Survey
Trackline Geophysical Data - Ship Tracks

This layer is used in [NCEI's Trackline Geophysical Data Viewer]. The NOAA National Centers for Environmental Information (NCEI) Marine Trackline Geophysics database contains bathymetry, magnetics, gravity and seismic navigation data collected during marine cruises from 1939 to the present. Coverage is worldwide. Data sources include both US and foreign oceanographic institutions and government agencies. This feature layer shows tracks for all marine geophysical surveys in the database, split into sub-layers by data type. For more information about Marine Trackline Geophysics at NCEI, please see: [https://www.ncei.noaa.gov/products/marine-trackline-geophysical-data]. ISO Metadata: * [NCEI Marine Geophysical Trackline Database] * [Airborne Magnetic Trackline and Survey Data]
NOAA HMS Fire Detection

This layer shows potential fire locations identified on satellite imagery by the [NOAA Hazard Mapping System] (HMS) that are deemed to be associated with biomass burning, including wildfires, prescribed and agricultural fires. This is a blended product composed of fire detection data from GOES/ABI, the JPSS/VIIRS and EOS/MODIS sensors. A quality control procedure is performed using both machine- and analyst-based data screening, thereby discarding detections associated with industrial activity (ex., steel mills, gas flares, power plants) as well as potential false alarms caused by solar panels and other highly reflective surfaces, while also correcting for potential omission errors in the automated satellite fire products. A new daily map is typically initiated around 7-8am Eastern Time, and updated multiple times until the next morning as data becomes available. The information on fire position should be used as general guidance and for strategic planning. Tactical decisions, such as the activation of a response to fight these fires and evacuation efforts, should not be made without other information to corroborate the fire's existence and location. Users should note: * The initial HMS product for the current day is created and updated by a satellite analyst roughly between 8am and 10am Eastern Time. After 10am, the analysis is fine-tuned as time permits as additional satellite data becomes available. Areas of smoke are analyzed and added to the analysis during daylight hours as visible satellite imagery becomes available. The product is finalized and "completed" for the archive the following morning - generally by around 8:00am. * The fire sizes depicted in the product are primarily determined by the field of view of the satellite instrument, or the resolution of the analysis tool. They should not be used to estimate specific fire perimeters. * The ability to detect fires and smoke can be compromised by many factors, including cloud cover, tree canopy, terrain, the size of the fire or smoke plume, the time of the day, etc. The satellite sensors used to detect fires are sensitive to heat sources and reflected sunlight. Analysts do their best to distinguish between fires and other heat sources or highly reflective surfaces, such as factories, mines, gas flares, solar panels, clouds, etc. but some false detects do get included in the analysis. Email your questions to the HMS fire team at: ssdfireteam@noaa.gov
Offshore Wind - Turbine Locations (Proposed or Installed)

This dataset shows proposed and installed wind turbine locations. Until installed, all proposed locations and turbine specifications are subject to change. For the proposed locations, in most cases, the full arrays of turbines shown are the maximum proposed build out within the individual design envelope of the project. In some cases, more than one proposed layout is provided. If no specific configuration option is shown in the attributes, then all the locations are considered the preferred option. These data are subject to change and will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Offshore Wind - Interarray Cables (Proposed or Installed)

These data represent the currently proposed cable linkages between proposed or installed wind turbines and/or proposed offshore substation(s). In some cases, more than one proposed layout is provided. If no specific configuration option is shown in the attributes, then all the locations are considered the preferred option. Regardless of which option is ultimately permitted, the placement and total number of cable arrays will likely vary from what is presented here. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Offshore Wind - Substations (Proposed or Installed)

These data contain both proposed and installed power substations. Substations can be within the offshore lease area or onshore. Offshore substations receive power from wind turbine facilities via electric cables and act as a collector to transport the electricity to the export cable and to onshore substations. Proposed project design, review, and permitting is an iterative process, so the final design and buildout of the substations is subject to change. The data may represent different alternative options to be reviewed and the final plan may vary from what is presented here. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Offshore Wind - Cable Landings (Proposed or Installed)

These data show proposed or currently installed locations where offshore export cables will make or have made landfall. For proposed landings, if more than one option is possible, both are shown as separate points. In most cases, the landing locations shown are the maximum proposed build out within the individual design envelope of the project. In some cases, more than one proposed layout is provided. If no specific configuration option is shown in the attributes, then all the locations are considered the preferred option. Regardless of which option is ultimately permitted, the placement and total number of landing locations will likely vary from what is presented here. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Offshore Wind - Export Cable Corridors (Proposed)

These data represent the proposed area the developer intends to investigate for the location of one or more export cables, the electrical cables that will carry electricity from the wind turbines to a power substation. Cable study locations are shown as the most favorable option (1) to alternate options (2,3,4,5) from the perspective of the wind farm developer. Since proposed project design, review, and permitting is an iterative process, the final design and buildout of the features may vary from what is presented here. Users should also be aware that developers often show more than one alternative, and all of these will not necessarily represent the final permitted design but are part of many options to be reviewed. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Offshore Wind - Cable Interconnections (Proposed or Installed)

These data show the locations of proposed and installed energy facilities the power from a wind farm will inject into. In most cases, the locations shown are the maximum proposed buildout within the individual design envelope of the project. In some cases, more than one proposed location is provided. If no specific configuration option is shown in the attributes, then all the locations are considered the preferred option. Regardless of which option is ultimately permitted, the placement and total number of interconnections is subject to change. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.
Global Ocean Conservation Priorities – Biodiversity Protection

Numerical ranking of the global ocean to prioritize conservation actions aimed at biodiversity protection. The conservation action being prioritized is highly protected Marine Protected Areas (MPAs). Most important pixels are ranked higher (1) and least important pixels are ranked lower (0). Pixels ranked between 0.95-1, correspond to the most important 5% of the ocean. Pixels ranked between 0.9-1, correspond to the most important 10% of the ocean, and so on. Existing highly protected MPAs represent the starting condition of the analyses and are placed at the top of the ranking. Variable mapped: Global priority ranking for biodiversity conservation Data Projection: Mollweide Equal Area Mosaic Projection: Mollweide Equal Area Extent: Global Cell Size: 50km Source Type: Thematic Source: National Geographic Society Publication: Sala, Enric, Juan Mayorga, Darcy Bradley, Reniel B. Cabral, Trisha B. Atwood, Arnaud Auber, William Cheung, et al. “Protecting the Global Ocean for Biodiversity, Food and Climate.” Nature, March 17, 2021. [https://doi.org/10.1038/s41586-021-03371-z]. We define the biodiversity benefit of a given set of MPAs as the weighted sum of the marginal gain in persistence of specific biodiversity features resulting from the removal of abatable impacts relative to business as usual. Included biodiversity features are: 1. Species – We use habitat suitability maps for 4242 species that are indirectly or directly impacted by threats that can be abated with MPAs (i.e., habitat destruction, fishing). Not every species is weighted equally, their relative importance in a function of: a. Extinction risk b. Evolutionary distinctiveness c. Functional distinctiveness 2. Biogeographic provinces – We used the spatial delineations of the pelagic (n = 37), coastal (n = 62), bathyal (n = 14), and abyssal (n = 14) provinces of the ocean as individual biodiversity features to ensure representation of different facets of biodiversity throughout the world’s ocean. 3. Seamounts – We included the density of seamounts as they are known aggregators of pelagic biodiversity and an important habitat for deep-sea species which are underrepresented in global species distribution datasets. Because the model maximizes the benefits of protection relative to a business-as-usual counterfactual, the distribution and intensity of existing human impacts – classified into abatable and non-abatable by MPAs – is an important determinant of the priority ranking.
Global Ocean Conservation Priorities – Biodiversity, Food, and Carbon

Numerical ranking of the global ocean to prioritize conservation actions to simultaneously maximize biodiversity, fisheries, and carbon benefits. Each objective was given equal weight. The conservation action being prioritized is highly protected Marine Protected Areas (MPAs). Most important pixels are ranked higher (1) and least important pixels are ranked lower (0). Pixels ranked between 0.95-1, correspond to the most important 5% of the ocean. Pixels ranked between 0.9-1, correspond to the most important 10% of the ocean, and so on. Existing highly protected MPAs represent the starting condition of the analyses and are placed at the top of the ranking. Variable mapped: Global priority ranking to simultaneously achieve carbon, biodiversity, and fisheries benefits. Data Projection: Mollweide Equal Area Mosaic Projection: Mollweide Equal Area Extent: Global Cell Size: 50km Source Type: Thematic Source: National Geographic Society Publication: Sala, Enric, Juan Mayorga, Darcy Bradley, Reniel B. Cabral, Trisha B. Atwood, Arnaud Auber, William Cheung, et al. “Protecting the Global Ocean for Biodiversity, Food and Climate.” Nature, March 17, 2021. [https://doi.org/10.1038/s41586-021-03371-z].