AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA VDatum Conversion

VDatum is designed to vertically transform geospatial data among a variety of tidal, orthometric and ellipsoidal vertical datums - allowing users to convert their data from different horizontal/vertical references into a common system and enabling the fusion of diverse geospatial data in desired reference levels. This particular layer allows you to convert from NAVD 88 to MHHW. Units: meters These data are a derived product of the NOAA VDatum tool and they extend the tool's Mean Higher High Water (MHHW) tidal datum conversion inland beyond its original extent. VDatum was designed to vertically transform geospatial data among a variety of tidal, orthometric and ellipsoidal vertical datums - allowing users to convert their data from different horizontal/vertical references into a common system and enabling the fusion of diverse geospatial data in desired reference levels (https://vdatum.noaa.gov/). However, VDatum's conversion extent does not completely cover tidally-influenced areas along the coast. For more information on why VDatum does not provide tidal datums inland, see [https://vdatum.noaa.gov/docs/faqs.html]. Because of the extent limitation and since most inundation mapping activities use a tidal datum as the reference zero (i.e., 1 meter of sea level rise on top of Mean Higher High Water), the NOAA Office for Coastal Management created this dataset for the purpose of extending the MHHW tidal datum beyond the areas covered by VDatum. The data do not replace VDatum, nor do they supersede the valid datum transformations VDatum provides. However, the data are based on VDatum's underlying transformation data and do provide an approximation of MHHW where VDatum does not provide one. In addition, the data are in a GIS-friendly format and represent MHHW in NAVD88, which is the vertical datum by which most topographic data are referenced. Data are in the UTM NAD83 projection. Horizontal resolution varies by VDatum region, but is either 50m or 100m. Data are vertically referenced to NAVD88 meters. More information about the NOAA VDatum transformation and associated tools can be found [here].
EMAG2v3: Earth Magnetic Anomaly Grid (image service)

[EMAG2v3: the Earth Magnetic Anomaly Grid] (2 arc-minute resolution), version 3 is compiled from [satellite], [ship, and airborne] magnetic measurements. Magnetic anomalies result from geologic features enhancing or depressing the local magnetic field. These maps increase knowledge of subsurface structure and composition of the Earth's crust. Global magnetic anomaly grids are used for resource exploration, navigation where GPS is unavailable (submarine, directional drilling, etc.), and for studying the evolution of the lithosphere. The 2017 release of the EMAG2v3 utilizes updated precompiled grids and a revised process for accurately incorporating the long-wavelength anomalies, as modeled by the satellite-based MF7 lithospheric field model. It is an update from the previous EMAG2v3 released by NCEI in 2016. EMAG2v3 further differs from the previous EMAG2 (version 2), which relied on an ocean age model to interpolate anomalies into non-existent data areas and on the earlier MF6 model. EMAG2v3 relies solely on the data available. As a result, EMAG2v3 better represents the complexity of these anomalies in oceanic regions and accurately reflects areas where no data has been collected. The current version reports anomalies in two ways: 1. A consistent altitude of 4 km (referred to as Upward Continued) 2. Anomaly altitude at Sea Level This image service is based on an ArcGIS mosaic dataset, providing access to these grids: * EMAG2v3 (Upward Continued). Values in nT * EMAG2v3 (Sea Level). Values in nT * Estimated error (nT) The magnetic anomaly values in nanotesla (nT) are displayed using the color ramp below: [EMAG2v3 color scale] The EMAG2 dataset illustrates Earth evolution (plate tectonics and crustal interaction with the deep mantle). Distinct patterns and magnetic signatures are attributed to the formation (seafloor spreading) and destruction (subduction zones) of oceanic crust, and the formation of continental crust by accretion of various terranes to cratonic areas and large scale volcanism (both on continents and oceans). * Magnetization is weaker at the equator and stronger at high latitudes, reflecting the strength of the ambient geomagnetic field, which induces magnetization in rocks * Stripes of alternating magnetization in the oceans are due to sea floor spreading and the alternating polarity of the geomagnetic field * Very old crust (North American Shield, Baltic Shield, Siberian Craton) have strongest magnetization, seen as dark shades of purple and blue There are four related ArcGIS services providing access to EMAG2v3: * [Color shaded relief image (tiled, Web Mercator projection)] * [Color shaded relief image (tiled, WGS84 geographic)] * [Multi-layer map service] * [Image service] (this service; provides data values)
Habitat Areas of Particular Concern

The purpose of HAPCs is to focus conservation, management, and research efforts on subsets of EFH that are vulnerable to degradation or are especially important ecologically for federally managed fish. The HAPC designation alone does not confer additional protection or restrictions to an area, but helps to focus EFH conservation, management, and research priorities. HAPC designation is a valuable way to acknowledge areas where we have detailed information on ecological function and habitat vulnerability, indicating a greater need for conservation and management. In some instances the Councils and NMFS may develop fishery management measures to conserve the habitat within the HAPC. HAPCs are a subset of EFH that deserve special attention because they provide extremely important ecological functions and/or are especially vulnerable to degradation. For instance, HAPC designation may be warranted for areas that play a vital role in the reproductive cycle of a managed species (e.g., grouper spawning sites) or areas that contain a rare habitat type (e.g., corals) that may be sensitive to disturbance from fishing or other human activities. Councils may designate an area as a HAPC for one or more of the following reasons: * The habitat provides important ecological functions * The habitat is sensitive to human-induced environmental degradation * Development activities are, or will be, stressing the habitat * The habitat type is rare.
Spotted Seal Distribution

This dataset contains GIS layers that depict the known spatial distributions (i.e., ranges) and reported breeding areas of spotted seals (Phoca largha). It was produced as part of a U.S. Endangered Species Act status review, which included delineating the species in question and assessing its risk of extinction within the foreseeable future throughout all or a significant portion of its range. Its boundaries are based on previously published range maps and/or descriptions of the species' distribution in published or unpublished accounts. All boundaries should be considered approximate. Metadata accessed here: [https://inport.nmfs.noaa.gov/inport/item/28183] Data hosted as an online resource can be accessed here: [https://console.cloud.google.com/storage/browser/nmfs_odp_afsc/MML/PEP/Spotted%20Seal%20Distribution]
Ringed Seal Distribution

This dataset contains GIS layers that depict the known spatial distributions (i.e., ranges) of the five subspecies of ringed seals (Phoca hispida). It was produced as part of a U.S. Endangered Species Act status review, which included delineating the species in question and assessing its risk of extinction within the foreseeable future throughout all or a significant portion of its range. Its boundaries are based on previously published range maps and/or descriptions of the species' distribution in published or unpublished accounts. All boundaries should be considered approximate. Metadata accessed here: [https://inport.nmfs.noaa.gov/inport/item/28179] Data hosted as an online resource can be accessed here: [https://console.cloud.google.com/storage/browser/nmfs_odp_afsc/MML/PEP/Ringed%20Seal%20Distribution]
Ribbon Seal Distribution

This dataset contains GIS layers that depict the known spatial distributions (i.e., ranges) and reported breeding areas of ribbon seals (Histriophoca fasciata). It was produced as part of a U.S. Endangered Species Act status review, which included delineating the species in question and assessing its risk of extinction within the foreseeable future throughout all or a significant portion of its range. Its boundaries are based on previously published range maps and/or descriptions of the species' distribution in published or unpublished accounts. All boundaries should be considered approximate. Metadata accessed here: [https://inport.nmfs.noaa.gov/inport/item/28181] Data hosted as an online resource can be accessed here: [https://console.cloud.google.com/storage/browser/nmfs_odp_afsc/MML/PEP/Ribbon%20Seal%20Distribution]
Bearded Seal Distribution

This dataset contains GIS layers that depict the known spatial distributions (i.e., ranges) of the two subspecies of bearded seals (Erignathus barbatus). It was produced as part of a U.S. Endangered Species Act status review, which included delineating the species in question and assessing its risk of extinction within the foreseeable future throughout all or a significant portion of its range. Its boundaries are based on previously published range maps and/or descriptions of the species' distribution in published or unpublished accounts. All boundaries should be considered approximate. The approximate North American boundary between the two sub-species was changed to 130W (from 112W), based a re-analysis of the genetic data. Metadata accessed here: [https://inport.nmfs.noaa.gov/inport/item/28177] Data hosted as an online resource can be accessed here: [https://console.cloud.google.com/storage/browser/nmfs_odp_afsc/MML/PEP/Bearded%20Seal%20Distribution]
Global Sea Level Rise Trend (mm/yr)

This map shows the global sea surface height (SSH) trend in millimeters per year. It is helpful for identifying regions that experience higher or lower sea level rise trends over time. SSH is measured using altimetry satellites, which calculate SSH by using the ellipsoid as a reference surface. The onboard altimeter of the satellite measures the time it takes for microwave pulses to bounce off the ocean surface and return to the spacecraft thereby determining the distance between the satellite's orbit altitude and the ocean surface. The highly accurate altimeter range measurements are then subtracted from the satellite orbital height to determine the ocean height. For nearly 30 years, satellite altimeters have been used to measure the sea surface height of our ever-changing ocean, providing crucial data for understanding sea level trends. Global sea surface measurements play a vital role in climate monitoring, sea level rise assessment, oceanography research, and marine navigation. This data helps scientist, and policymakers make informed decisions about climate change, coastal management, and resource planning. More information: [https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/index.php] Dataset summary Variable Mapped: sea surface height trend (mm/yr) Data Projection: GCS WGS84 Service Projection: GCS WGS84 Extent: Global Cell Size: (~50km) Source Type: Scientific Data Source: NOAA Laboratory for Satellite Altimetry Data Accessed Date: January 5, 2023 *This map uses data from 1992 to 2023 to generate the trend for each pixel. What can you do with this layer? The layer can be used in analysis and visualization. This layer can be used to attribute points (using sample) or summarize the values withing a polygon (using zonal statistics).
North Atlantic Right Whale Critical Habitat

This dataset depicts the boundaries of the North Atlantic Right Whale Critical Habitat. This dataset includes boundaries for the following Regulated Areas: - Critical Habitat for North Atlantic Right Whale Unit 1 - Critical Habitat for North Atlantic Right Whale Unit 2. Please Note: Unit 1, in the Gulf of Maine, falls under the jurisdiction of the NOAA Fisheries Greater Atlantic Region. Unit 2, off the southeastern US coast, falls under the jurisdiction of the NOAA Fisheries Southeast Region. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are considered to be approximate representations and are NOT an OFFICIAL record for the exact regulated area boundaries. For information on the official legal definition refer to the Use Constraints metadata section. Critical habitat for the North Atlantic Right Whale was originally designated June 3, 1994 (Vol 59, No. 106). The 2016 critical habitat designation (81 FR 4838, January 27, 2016) replaced the 1994 designation. This dataset depicts the 2016 designation.
CO-OPS Active Water Level Stations

This map depicts all current water level stations maintained and operated by the Center for Operational Oceanographic Products and Services. These stations are part of a network of long-term, continuously operating water level stations throughout the United States and its territories. This includes ocean observing and coastal systems and additionally stations located in the Great Lakes. Please refer to the specific layer description for more information or visit [https://tidesandcurrents.noaa.gov/]. Questions/Concerns about the service, please contact the [IDP-GIS] team. Raw data have not been subjected to the National Ocean Service's quality control or quality assurance procedures and do not meet the criteria and standards of official National Ocean Service data. They are released for limited public use as preliminary data to be used only with appropriate caution.