AndreaBozzo/ceres-open-data-index huggingface dataset:
GEBCO Difference from 2021 to 2022

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the difference between GEBCO 2021 and GEBCO 2022 gridded data products. The equation used to compute change is GEBCO 2022 - GEBCO 2021. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) GEBCO Compilation Group (2022) GEBCO_2022 Grid (doi:10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c)
GEBCO Difference from 2021 to 2022 (No Zeros) Absolute Value

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth have occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the absolute value of the difference (in meters) between GEBCO 2021 and GEBCO 2022 gridded data products. The equation used to compute change is abs(GEBCO 2022 - GEBCO 2021). Then a reclass is applied to reclassify all pixels that are equal to zero as "No Data", helping further emphasize the locations where change has occurred. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) GEBCO Compilation Group (2022) GEBCO_2022 Grid (doi:10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c) For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
GEBCO Difference from 2020 to 2021

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the difference between GEBCO 2020 and GEBCO 2021 gridded data products. The equation used to compute change is GEBCO 2021 - GEBCO 2020. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9) GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f)
GEBCO Bathymetry Contours (500m)  2021

GEBCO is a global terrain model for ocean and land providing elevation data in meters on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2021 Grid is based. [More Info]. What can you do with this layer? * Determine contour elevations and depths by clicking on the map and viewing the pop-up. * Use for visualization of seafloor features. Layers associated with the GEBCO 2021 product: * [GEBCO Type Identifier 2021] * [GEBCO Depth Zones 2021] * [GEBCO 500m Contours 2021] * [GEBCO Shaded Relief 2021] * [GEBCO Bathymetry 2021] Each of the layers can be found in this [Web Map].
GEBCO Difference from 2021 to 2022 (No Zero)

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the difference between GEBCO 2021 and GEBCO 2022 gridded data products. The equation used to compute change is GEBCO 2022 - GEBCO 2021. Then a reclass is applied to reclassify all pixels that are equal to zero as "No Data", helping further emphasize the locations where change has occurred. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) GEBCO Compilation Group (2022) GEBCO_2022 Grid (doi:10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c) For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
GEBCO Difference from 2020 to 2021 (No Zeros) Absolute Value

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the absolute value of the difference (in meters) between GEBCO 2020 and GEBCO 2021 gridded data products. The equation used to compute change is abs(GEBCO 2021 - GEBCO 2020). Then a reclass is applied to reclassify all pixels that are equal to zero as "No Data", helping further emphasize the locations where change has occurred. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9) GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
GEBCO 500m Bathymetry Contours 2022

GEBCO is a global terrain model for ocean and land providing elevation data in meters on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2022 Grid is based. [More Info]. What can you do with this layer? * Determine contour elevations and depths by clicking on the map and viewing the pop-up. * Use for visualization of seafloor features. Layers associated with the GEBCO 2022 product: * [GEBCO Type Identifier 2022] * [GEBCO Depth Zones 2022] * [GEBCO 500m Contours 2022] * [GEBCO Shaded Relief 2022] * [GEBCO Bathymetry 2022] For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
GEBCO Difference from 2020 to 2021 (No Zero)

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the difference between GEBCO 2020 and GEBCO 2021 gridded data products. The equation used to compute change is GEBCO 2021 - GEBCO 2020. Then a reclass is applied to reclassify all pixels that are equal to zero as "No Data", helping further emphasize the locations where change has occurred. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9) GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f) For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
GEBCO Difference from 2019 to 2020

GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. This map shows the areas where changes in elevation/depth has occurred between GEBCO Gridded products. Change values are represented in meters. This particular layer shows the difference between GEBCO 2019 and GEBCO 2020 gridded data products. The equation used to compute change is GEBCO 2020 - GEBCO 2019. GEBCO aims to provide the most authoritative, publicly available bathymetry data sets for the world’s oceans. More Information about GEBCO: [https://www.gebco.net/] Dataset attribution for products used to create this layer: GEBCO Compilation Group (2019) GEBCO 2019 Grid (doi:10.5285/836f016a-33be-6ddc-e053-6c86abc0788e) GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)
GEBCO Shaded Relief 2022

GEBCO is a global terrain model for ocean and land providing elevation data in meters on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2022 Grid is based. [More Info]. What can you do with this layer? * Use for visualization/emphasis of seafloor features. Layers associated with the GEBCO 2022 product: * [GEBCO Type Identifier 2022] * [GEBCO Depth Zones 2022] * [GEBCO 500m Contours 2022] * [GEBCO Shaded Relief 2022] * [GEBCO Bathymetry 2022] For more GEBCO related layers and maps please visit the [GEBCO ArcGIS Online Group].
USA Offshore Planning Areas

The [Bureau of Ocean Energy Management (BOEM)] Planning areas divide the Outer Continental Shelf into smaller more manageable regions for the purpose of planning and defining areas of potential lease sales within the Oil and Gas Leasing 5 year Program Plan. There are currently 26 planning areas within the OCS. Fifteen of these areas are in Alaska. Lease sales will usually occur for only one planning area at a time. The 5 year program identifies which planning areas may have sales within the next 5 years. If areas are not identified for potential lease sales in the 5 year program, new areas cannot be added for lease within that 5 year period. Dataset Summary The source data for this layer is from the BOEM website and is updated regularly. The features in this polygon layer contain attributes to describe each planing area. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinates. [Link to source metadata] What can you do with this layer? This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
USA Offshore Pipelines

This dataset is a compilation of available oil and gas pipeline data and is maintained by the Bureau of Safety and Environmental Enforcement (BSEE). Pipelines are used to transport and monitor oil and/or gas from wells within the outer continental shelf (OCS) to resource collection locations. Pipelines are also used to connect subsea wells, manifolds and associated platforms within an oil or gas development field. This pipeline layer contains the size of the pipe, the type of product that is transported, the name of the company that owns the pipe as well as the Status (Active, Proposed, Out of Service, etc.). The source data for this layer is from the [BOEM] website and is updated regularly. Pipelines managed by BSEE are found in Gulf of Mexico and southern California waters. Please use the following links to read the metadata records for the [Gulf of Mexico] and [Pacific ]regions. What can you do with this layer? This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
USA Offshore Oil and Gas Platforms

This layer shows the locations of all oil and gas platforms (structures) within the U.S. Exclusive Economic Zone. To work with only currently existing platforms you should set a filter that ensures there is no removal date provided (a recorded removal date implies the platform is no longer present). Dataset Summary This source data for this layer is from the U.S. Department of Energy's [Bureau of Ocean Energy Management (BOEM) website] in early March 2016. The point features in this layer contain attributes about the details of drilling platform structures such as the type of structure, and whether personnel are present. Additional attributes from the Platform Structures table were joined to the platform location points; these were downloaded from the BOEM's [Platform/Rig Information website]. These attributes further described the physical characteristics of each platform. Note: Platforms are are being added or modified continuously; obtaining the most recent update of the BOEMs databases are required to know the true distribution of platform data. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinates. [Link to source metadata] What can you do with this layer? Platform details included in this layer are essential to decision making for an incident response team. They include dates (installation and removal), ownership (who to notify), location of platform by tract, area code, and block, structure type (Major or Not), depth, product, manned hours (attended), and heliport flag (can be approached by air). This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
USA Official Protraction Diagrams

Official Protraction Polygons (OPDs), also known as Official Protraction Diagrams (OPDs), are subdivisions of the Outer Continental Shelf Lease Areas (OCSLA). The polygons are for planning leases in addition to OCS lease blocks. The OPDs are numbered using the United Nations International Map of the World Numbering System. OPD names usually coincide with standard topographic sheet names when diagrams include land areas. A standard OPD is 1 degree in latitude by 2 degrees in longitude at lower latitudes, such as in the Gulf of Mexico (0 - 48 degrees). At higher latitudes (48 - 75 degrees) such as in Alaska and northern Washington, OPDs are 3 degrees wide. OPD limits usually approximate the standard 1:250,000 scale US Geological Survey topographic map series. OPD sheet names relate to land features, or to hydrographic features contained within the limits of the diagram. Dataset Summary The source data for this layer is from the US Department of Energy's [Bureau of Ocean Energy Management] (BOEM) website and is updated regularly. The features in this polygon layer contain attributes to describe each protraction polygon. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinates. [Link to source metadata] What can you do with this layer? This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
USA Deepwater Ports

A deepwater port is a fixed or floating man-made structure other than a vessel, or any group of such structures, that are located beyond State seaward boundaries and that are used or intended for use as a port or terminal for the transportation, storage, or further handling of oil or natural gas for transportation to or from any State, including transportation of oil or natural gas from the United States outer continental shelf. Deepwater ports consist of all components and equipment, including pipelines, pumping stations, service platforms, buoys, mooring lines, and similar facilities to the extent they are located seaward of the high water mark. This layer shows major deepwater ports in the United States and contains physical information on commercial facilities at the principal U.S. Coastal Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, plants, fleeting areas, and docking and storage facilities. Collection of data is performed by the ports on a rotational basis to ensure on-site accuracy at each facility. Dataset Summary The data for this layer were obtained from NOAA's Coastal Services Center ftp website and is updated regularly. The point features in this layer contain attributes for the name and status of the ports. The [Deepwater Port Licensing Program] is the application process designed to promote the construction of [Liquefied Natural Gas (LNG)] and oil deepwater ports. This license system was established by the Deepwater Port Act of 1974, as amended by the [Maritime Transportation Security Act of 2002]. [Maritime Administration Department of Transportation (MARAD DOT]) assesses the financial capability of potential licenses, prepares the project Record of Decision, and issues or denies the deepwater port license. If the license was denied, surrendered, or withdrawn they are not displayed in this layer. The licensed deepwater ports are listed below. The Ports in this service are * [Gulf Gateway Energy Bridge (Louisiana)] * [Louisiana Offshore Oil Port (Louisiana)] * [Neptune LNG (Massachusetts)] * [Northeast Gateway (Massachusetts)] * Port Dolphin (Florida – Gulf of Mexico) What can you do with this layer? This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
USA Bathymetric Contours

The feature layer contains bathymetric contours which provide the size, shape and distribution of underwater features. The contours are from zero to -100m with a contour every 10 meters, a -101m to -500m with contours every 25meters, and -501m+ with contours every 100m until all contours had been created for the DEM utilized. The DEM utilized was the Global Multi-Resolution Topography (GMRT) Synthesis which is a multi-resolution gridded global Digital Elevation Model (DEM) that includes cleaned processed ship-based multibeam sonar data at their full spatial resolution (~100m in the deep sea).
USA Active Oil and Gas Lease Blocks

Active lease blocks currently leased by private entities for oil and/or gas mining rights. The leases are within the Outer Continental Shelf (OCS). Dataset Summary The source data for this layer is from the U.S. Department of Energy's [Bureau of Ocean Energy Management] (BOEM) website and updated regularly. The features in this polygon layer contain attributes pertaining to the lease status of active leases. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinates. [Link to source metadata] What can you do with this layer? This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.
Seafloor Crustal Age

Scientists use the magnetic polarity of the sea floor to determine the age. Very little of the sea floor is older than 150 million years. This is because the oldest sea floor is subducted under other plates and replaces by new surfaces. The tectonic plates are constantly in motion and new crust is always being created. This continual motion is evidenced by the occurrence of earthquakes and volcanoes. [Age of Oceanic Lithosphere] Data accessed from here: [https://www.ngdc.noaa.gov/mgg/ocean_age/ocean_age_2008.html]
Seabed Sediment Thickness Contour

"Knowledge of terrestrial and marine sediment thickness is critical to understanding geological evolution and processes. Globally, erosion and biogenic sedimentation followed by transport and deposition by wind or water determines the first-order structure of sedimentary accumulation. Subsequently, sediments can be tectonically deformed, redeposited or even subducted and therefore enter the deep-Earth cycle." (1) Total Sediment Thickness of the World's Oceans and Marginal Seas - Version 3 (GlobSed) [Total Sediment Thickness of the World] NCEI's global ocean sediment thickness grid of Divins (2003) updated by Whittaker et al. (2013) has been updated again for the NE Atlantic, Arctic, Southern Ocean, and Mediterranean regions. The new global 5‐arc‐minute total sediment thickness grid, GlobSed, incorporates new data and several regional oceanic sediment thickness maps, which have been compiled and published for the, (1) NE Atlantic (Funck et al., 2017; Hopper et al., 2014), (2) Mediterranean (Molinari & Morelli, 2011), (3) Arctic (Petrov et al., 2016), (4) Weddell Sea (Huang et al., 2014), and (5) the Ross Sea, Amundsen Sea, and Bellingshausen Sea sectors off West Antarctica (Lindeque et al., 2016; Wobbe et al., 2014). This version also includes updates in the White Sea region based on the VSEGEI map of Orlov and Fedorov (2001). GlobSed covers a larger area than NCEI’s previous global grids ([Divins, 2003]; [Whittaker et al. 2013]), and the new updates results in a 29.7% increase in estimated total oceanic sediment volume. Contours were produced in ArcGIS Pro from the source GlobSed data at 0.5km intervals. [Source] 1. [DOI: 10.1029/2018GC008115]
Seabed Lithology

Knowing the patterns of distribution of sediments in the global ocean is critical for understanding biogeochemical cycles and how deep-sea deposits respond to environmental change at the sea surface. We present the first digital map of seafloor lithologies based on descriptions of nearly 14,500 samples from original cruise reports, interpolated using a support vector machine algorithm. We show that sediment distribution is more complex, with significant deviations from earlier hand-drawn maps, and that major lithologies occur in drastically different proportions globally. By coupling our digital map to oceanographic data sets, we find that the global occurrence of biogenic oozes is strongly linked to specific ranges in sea surface parameters. In particular, by using recent computations of diatom distributions from pigment-calibrated chlorophyll-a satellite data, we show that, contrary to a widely held view, diatom oozes are not a reliable proxy for surface productivity. Their global accumulation is instead strongly dependent on low surface temperature (0.9-5.7 °C) and salinity (33.8-34.0 PSS) and high concentrations of nutrients. Under these conditions, diatom oozes will accumulate on the seafloor regardless of surface productivity as long as there is limited competition from biogenous and detrital components, and diatom frustules are not significantly dissolved prior to preservation. Quantifying the link between the seafloor and the sea surface through the use of large digital data sets will ultimately lead to more robust reconstructions and predictions of climate change and its impact on the ocean environment. The digital data can be downloaded in netcdf format [here]. Data accessed from here: [https://portal.gplates.org/portal/seafloor/]
Plate Isopachs

Sediment thickness isopachs for each of the major plates. In 1994, Mobil Exploration and Technical Center of Dallas, Texas, provided a global digital set of sediment isopach data to the PLATES Project, Institute for Geophysics, The University of Texas at Austin. PLATES imported the data into a data file in its own format. Plate identification numbers were assigned to the data so that it could be incorporated into plate reconstructions. In 2016, the PLATES data file was converted to a shapefile. Data accessed from here: https://www-udc.ig.utexas.edu/external/plates/data.htm
Plate Boundaries

The surface of the Earth is broken up into large plates. There are seven major plates: North America, South America, Eurasia, Africa, India, the Pacific, and Antarctica. There are also numerous microplates. The number and shapes of the plates change over geologic time. Plates are divided by boundaries that are seismically active. The different plate boundaries can be described by the type of motion that is occurring between the plates at specific locations. [Mid-Atlantic Ridge] Ocean basins contain spreading ridges where the youngest portions of the seafloor are found. At the spreading ridges magma is released as it pushes up from the mantle and new oceanic crust is formed. At subduction zone boundaries plates are moving toward each other, with one plate subducting or moving beneath the other. When this occurs the crust is pushed into the mantle where it is recycled into magma. [Subduction Zone] Data accessed from here: https://www-udc.ig.utexas.edu/external/plates/data.htm