97 datasets found
  1. d

    Vertical Datum Transformation

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated May 20, 2025
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    (Point of Contact, Custodian) (2025). Vertical Datum Transformation [Dataset]. https://catalog.data.gov/dataset/vertical-datum-transformation1
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    Dataset updated
    May 20, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Description

    VDatum is a free software tool being developed jointly by NOAA's National Geodetic Survey (NGS), Office of Coast Survey (OCS), and Center for Operational Oceanographic Products and Services (CO-OPS). VDatum is designed to vertically transform geospatial data among a variety of tidal, orthometric and ellipsoidal vertical datums -

  2. Gravity for the Redefinition of the American Vertical Datum (GRAV-D) Data...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Oct 31, 2024
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    NOAA National Centers for Environmental Information (Point of Contact); NOAA National Geodetic Survey (Point of Contact) (2024). Gravity for the Redefinition of the American Vertical Datum (GRAV-D) Data Products [Dataset]. https://catalog.data.gov/dataset/gravity-for-the-redefinition-of-the-american-vertical-datum-grav-d-data-products1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    U.S. National Geodetic Survey
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    United States
    Description

    Within the NOAA National Ocean Service (NOS), the NOAA National Geodetic Survey (NGS) has a federal mandate to provide accurate positioning, including heights, to all federal non-military mapping activities in the USA. In 2007, the NGS embarked on the Gravity for the Redefinition of the American Vertical Datum (GRAV-D) Project, one of the most ambitious projects in the history of the agency. The gravity-based vertical datum resulting from this project is accurate at the 2 cm level where possible for much of the country. Available data include airborne and terrestrial survey information, gravity data, and gravity-based geoids or datums.

  3. Data from: The work with datum and database: considerations through and...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Paula Ávila Nunes; Valdir do Nascimento Flores (2023). The work with datum and database: considerations through and enunciative theory of language [Dataset]. http://doi.org/10.6084/m9.figshare.5772594.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Paula Ávila Nunes; Valdir do Nascimento Flores
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract: The objective is to discuss the notions of datum and analysis when the theory in question is an enunciative one, bearing in mind two central questions: if the several enunciative theories question language through a semantic point of view, aiming at studying what is singular in the speech of each speaker, how can an enunciative study be based on a corpus and, even more, constitute a database? Are enunciative studies not refractory, in a certain way, to the notion of linguistic study based on corpora? In order to answer these two questions, we present the example of a database of language disorders, ENUNSIL (Banco de Dados Enunciação e SIntoma na Linguagem), considering that, if the notion of datum is problematic to enunciative studies, such difficulties augment exponentially when symptomatic speech is at stake.

  4. Tidal datum conversion grids for the Eastern Shore of Virginia and...

    • dataone.org
    • portal.edirepository.org
    • +1more
    Updated Oct 6, 2016
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    David Richardson (2016). Tidal datum conversion grids for the Eastern Shore of Virginia and surrounding waters (2013) [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-vcr%2F219%2F4
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    Dataset updated
    Oct 6, 2016
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    David Richardson
    Time period covered
    Sep 1, 2013 - Sep 10, 2013
    Area covered
    Description

    Data consists of conversion factors that can be used to convert between numerous vertical tidal datums and the North American Vertical Datum of 1988 (NAVD88). The data cover the Eastern Shore of Virginia and parts of southeastern Maryland along with the surrounding coastal waters and are represented as approximately 100m (100.584m) resolution grids. The six included tidal datums are local mean sea level (LMSL), mean tidal level (MTL), mean low water (MLW), mean lower low water (MLLW), mean high water (MHW), and mean higher high water (MHHW). All vertical units are in meters. By combining multiple conversions to and from NAVD88, conversion between the various tidal datums is possible. Two versions of the conversion factor grids are provided for each NAVD88-to-tidal-datum pairing: one that only contains data for areas not masked as nodata by the NOAA VDatum program (original source data) and one that contains both the original and interpolated data (see below for details). Naming conventions used were "cfactor_DDD" for the original VDatum-detrived dataset where "DDD" is the local tidal datum and "cf_nd_DDD" for the dataset that includes interpolated values within the nodata masks (IDW interpolation across masked areas, typically upland regions but also shallow seaside bays and creeks for which no adequate tidal benchmarks were available). By definition, the baseline elevation (sea level or 0.0m elevation) for NAVD88 is referenced to the fixed International Great Lakes Datum of 1985 local mean sea level height value, at Rimouski, Quebec, Canada. Additional tidal bench mark elevations were not used to calculate NAVD88 due to the demonstrated variations in sea surface topography, i.e., the fact that mean sea level is not the same equipotential surface at all tidal benchmarks. The magnitude of the difference between local mean sea level (LMSL) at the tidal benchmarks of the Eastern Shore of Virginia and the NAVD88 defined sea-level varies from 0.039 to 0.149 meters BELOW zero NAVD88. Tidal prisms also vary at each tidal benchmark (in part due to differences in basin configuration and tidal interactions) causing the conversion factors for the other tidal datums to also vary spatially in similar but not identical patterns. The VDatum 3.2 software program from NOAA (http://vdatum.noaa.gov/) was used to convert the x,y,z center points of the 100m gridded data wherein all Z elevations were set equal to zero (0) from NAVD88 to each of the six local tidal datums (the X,Y horizontal WGS84 UTM 18N coordinates remained unchanged). The resulting conversion factors represent the new elevation at which the NAVD88 zero level would lie in reference to the new datum; thus, to convert from NAVD88 and the new tidal datum, one would add this conversion factor to the NAVD88 elevations to get elevations relative to the chosen tidal datum. To convert to NAVD88 from a given tidal datum, one would subtract the conversion factor from the tidal elevation. Data were turned back into gridded data with the same resolution and horizontal extent as the original data grid. The internal data grids used by the VDatum program mask as nodata most land areas (including marshes) plus many of the seaside shallow bays, either in part or in full, for which reliable tidal benchmark data is/was not available. As a result, the program cannot be used in these nodata areas, even if immediately adjacent to data areas. So as to make conversion factors available for these coastal bays and marshes and seaside watersheds of interest to the VCRLTER, conversion factors for gridded regions within the NOAA nodata masks were interpolated from neighboring data values using the inverse distance weighting (IDW) techniques employed by ESRI's ArcGIS 10.1 software. IDW interpolation resulted in conversion factors that varied gradually spatially when adjacent to the NOAA VDatum data grids but that often showed relatively sharp transitions when equidistant between different far-apart basins (such as mid-peninsula between the Chesapeake Bay and Atlantic Ocean, or within South Bay bounded by data constructed from tidal datums for the Atlantic Ocean (east), Ship Shoal Inlet (south), Sand Shoal Inlet (north), and Magothy Channel (west)). It is suggested that the appropriate use of this data is to convert elevation datasets referenced to a tidal datum to NAVD88 if integrating multiple datasets together over large areas, such as across the full Eastern Shore or across multiple watersheds or coastal bays, so as to not introduce artificial IDW-related transitions into otherwise vertically-consistent upland elevations or basin-scale bathymetric surveys. When converting elevations of fringing upland marshes, the conversion factors (including interpolated values) can likely be used directly on a cell-by-cell level to a... Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-vcr%2F219%2F4 for complete metadata about this dataset.

  5. C

    SF Bay Tidal Datums (2016)

    • data.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated Feb 1, 2022
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    San Francisco Bay Conservation and Development Commission (2022). SF Bay Tidal Datums (2016) [Dataset]. https://data.ca.gov/dataset/sf-bay-tidal-datums-2016
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    arcgis geoservices rest api, geojson, html, gpkg, zip, xlsx, gdb, txt, kml, csvAvailable download formats
    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    San Francisco Bay Conservation and Development Commissionhttps://bcdc.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    San Francisco Bay
    Description

    This study is the first comprehensive publication of tidal datums and extreme tides for San Francisco Bay (Bay) since the United States Army Corps of Engineers (USACE) published itsSan Francisco Bay Tidal Stage vs. Frequency Study in 1984 (USACE 1984). The USACE study was groundbreaking at the time of publication, presenting tidal datums and the “100-year tide” elevation for 53 locations around the Bay. The purpose of this study is to update and expand on the USACE study and to present daily and extreme tidal information for more than 900 locations along the Bay shoreline. Tidal datums, described further in Section 2 , are standard elevations defined by a certain phase of the tide (e.g., mean high tide, mean low tide). A tidal datum is used as a reference to measure and define local water levels, and as such is specific to local hydrodynamic processes and is not easily extended from one area to another without substantiating measurements or analysis. Many industries and activities rely on tidal datums, including shipping and navigation, coastal flood management, coastal development, and wetland restoration. Extreme tidal elevations are estimated for less-frequent extreme tides (e.g., 2-year tides to 500-year tides [tides with a 50.0 percent to 0.2 percent annual chance of occurrence, respectively]).


    Knowledge of the 100-year tide, or the water elevation with a 1 percent annual chance of occurrence, is critical for shoreline planning, floodplain management, and sea level rise (SLR) adaptation efforts. This study presents detailed daily and extreme tide information for the entirety of the Bay shoreline. This data set will support floodplain management efforts; shoreline vulnerability and risk analyses; shoreline engineering, design, and permitting; ecological studies; and appropriate sea level rise adaptation planning. The goal of this study is to provide data that support a wide-range of planning efforts around the Bay, particularly as communities seek to understand—and begin to adapt to—rising sea levels.

  6. Airborne Gravity Data - Gravity for the Redefinition of the American...

    • fisheries.noaa.gov
    • datasets.ai
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Airborne Gravity Data - Gravity for the Redefinition of the American Vertical Datum (GRAV-D) [Dataset]. http://doi.org/10.25921/cjc9-bh63
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    wms - web map serviceAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    2008 - 2022
    Area covered
    Description

    Gravity for the Re-definition of the American Vertical Datum (GRAV-D) is a project initiated by NOAA's National Geodetic Survey to collect and monitor gravity data suitable for the re-definition of the vertical datum for at least the United States and territories. Airborne gravity data will be collected from 2008-2023, processed, and released periodically in geographic blocks. Each block is com...

  7. Inundation Mapping Tidal Surface - Mean Higher High Water

    • data.wu.ac.at
    • fisheries.noaa.gov
    • +1more
    zip
    Updated Feb 7, 2018
    + more versions
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). Inundation Mapping Tidal Surface - Mean Higher High Water [Dataset]. https://data.wu.ac.at/schema/data_gov/YmE3ZGJjMWEtYmEyNi00OGI4LWEyNzUtOTcyYjkzOTYwNzdj
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    zipAvailable download formats
    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    e5204a9a2660309df120405b9a3a7f502843e2f7
    Description

    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 (http://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 http://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.

  8. Datums Stations

    • hub.arcgis.com
    Updated Jun 28, 2021
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    Esri U.S. Federal Datasets (2021). Datums Stations [Dataset]. https://hub.arcgis.com/datasets/fedmaps::datums-stations/explore
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    Dataset updated
    Jun 28, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Datums Stations This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the National Oceanic and Atmospheric Administration, displays the Center for Operational Oceanographic Products and Services (CO-OPS) locations of all water level stations at which datums have been calculated. According to NOAA, “for marine applications, a datum is a base elevation used as a reference from which to reckon heights or depths. It is called a tidal datum when defined in terms of a certain phase of the tide. Tidal datums are local datums and should not be extended into areas that have differing hydrographic characteristics without substantiating measurements.” Aransas, Aransas Pass & Bob Hall Pier, Corpus Christi Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Datums Stations) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 178 (Sea Level Trends: Sea Level Variations of the United States Derived from National Water Level Observation Network Stations)OGC API Features Link: (Datums Stations - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Datums - Station Selection; Tides & Currents ProductsFor feedback please contact: Esri_US_Federal_Data@esri.com NGDA Data Set This data set is part of the NGDA Water - Oceans & Coast Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Oceans & Coast is defined as “features and characteristics of salt water bodies (i.e. tides, tidal waves, coastal information, reefs) and features and characteristics that represent the intersection of the land with the water surface (i.e. shorelines), the lines from which the territorial sea and other maritime zones are measured (i.e. baseline maritime) and lands covered by water at any stage of the tide (i.e. Outer Continental Shelf ), as distinguished from tidelands, which are attached to the mainland or an island and cover and uncover with the tide.” For other NGDA Content: Esri Federal Datasets

  9. Data from: Vertical Datum transformation grids for Mexico.

    • figshare.com
    application/x-zstd
    Updated May 31, 2023
    + more versions
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    Jaime J. Carrera-Hernandez (2023). Vertical Datum transformation grids for Mexico. [Dataset]. http://doi.org/10.6084/m9.figshare.11495055.v3
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    application/x-zstdAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Jaime J. Carrera-Hernandez
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Mexico
    Description

    Vertical datum transformation grids for Mexico and Mexico's Digital Surface Model referenced to the EGM96 vertical datum.The procedure followed to obtained these two transformation surfaces is given in the following publication: https://doi.org/10.1038/s41597-020-0511-x. The available data are:1) Transformation surface between NGVD29 and NAVD 88: MexicoTransGridmmNGVD29toNAVD88.zip2) Transformation surface between NGVD29 and EGM96: MexicoTransGridmmNGVD29toEGM96.zip3) Mexico's Digital Terrain Model originally developed by INEGI referenced to EGM96 (the original CEM was referenced to NGVD29). These files were compressed using Zstandard.

  10. n

    Data from: The Probable Datum Method (PDM): a technique for estimating the...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated May 7, 2014
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    Jonathan D. Schueth; Klaus Keller; Timothy J. Bralower; Mark E. Patzkowsky (2014). The Probable Datum Method (PDM): a technique for estimating the age of origination or extinction of nannoplankton [Dataset]. http://doi.org/10.5061/dryad.ck0mp
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    zipAvailable download formats
    Dataset updated
    May 7, 2014
    Dataset provided by
    Pennsylvania State University
    Authors
    Jonathan D. Schueth; Klaus Keller; Timothy J. Bralower; Mark E. Patzkowsky
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Accurate interpretation of origination and extinction of fossil species is crucial to answering a variety of questions in paleontology. Fossil datums, the observed age of first or last occurrences, are subject to sampling error as a result of preservation and low abundances near range endpoints. This sampling error can cause local range offset, an age difference between the observed first or last occurrence of a species and its true origination or extinction. Here we develop and test a new technique, the Probable Datum Method (PDM) that can be used to assess the extent of local range offset for nannofossil species. The PDM estimates the original abundance of a taxon and its probable true age of first or last occurrence. The PDM uses a model in which original abundance is related to count abundance through preservation and the counting process. This model is empirically parameterized, including an experimental determination of false positive and error rates of a nannofossil count. The model is simulated then inverted to estimate likely original abundance and true datum age from count abundance data. We first test the PDM in a positive control experiment with known parameter values. This experiment shows the PDM is robust and returns known values accurately. Next we apply the method to the origination of nannoplankton after the Cretaceous/Paleogene boundary to test whether first occurrences were synchronous between widely-spaced locations. The PDM results suggest that observed diachrony of K/Pg originations cannot be explained by the effects of range offset, rather in some cases they indicate truly diachronus first occurrences between localities. Although the technique was developed to analyze nannoplankton ranges, the statistical nature of the PDM, its experimentally derived parameters and parsimonious nature should make it applicable to many micropaleontological studies that interpret patterns of origination and extinction.

  11. U

    Tidal Datums, Tidal Range, and Nuisance Flooding Levels for Chesapeake Bay...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 15, 2021
    + more versions
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    Alfredo Aretxabaleta; Zafer Defne; Tarandeep Kalra; B.O. Blanton; Neil Ganju (2021). Tidal Datums, Tidal Range, and Nuisance Flooding Levels for Chesapeake Bay and Delaware Bay [Dataset]. http://doi.org/10.5066/P9G7KGBF
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    Dataset updated
    Nov 15, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Alfredo Aretxabaleta; Zafer Defne; Tarandeep Kalra; B.O. Blanton; Neil Ganju
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2021
    Area covered
    Delaware Bay, Chesapeake Bay, Delaware
    Description

    This U.S. Geological Survey data release provides data on spatial variations in tidal datums, tidal range, and nuisance flooding in Chesapeake Bay and Delaware Bay. Tidal datums are standard elevations that are defined based on average tidal water levels. Datums are used as references to measure local water levels and to delineate regions in coastal environments. Nuisance flooding refers to the sporadic inundation of low-lying coastal areas by the maximum tidal water levels during spring tides, especially perigean spring tides (also known as king tides). Nuisance flooding is independent of storm event flooding, and it represents a cumulative or chronic hazard. The data were obtained by following a consistent methodology and at sufficient spatial resolution to resolve the distinct and complex features of each bay system. Tidal water levels were simulated by using the ADCIRC model system for the entire 2016 year. The year 2016 was chosen because it corresponded with the maximum magn ...

  12. U

    TIDESTATIONS - Pacific Northwest Water-Level Stations and Tidal Datum...

    • data.usgs.gov
    • data.cnra.ca.gov
    • +4more
    + more versions
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    NOAA for, TIDESTATIONS - Pacific Northwest Water-Level Stations and Tidal Datum Distributions [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:ef3c6af3-ac5c-4147-b334-9142b0f13b77
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    NOAA for
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2004
    Description

    This geospatial data set depicts the locations of National Ocean Service water-level stations to determine tidal datum distributions with the Seaside, Oregon, region.

  13. m

    Tidal Benchmarks North 2050

    • gis.data.mass.gov
    • geodot-massdot.hub.arcgis.com
    • +2more
    Updated Dec 7, 2023
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    Massachusetts geoDOT (2023). Tidal Benchmarks North 2050 [Dataset]. https://gis.data.mass.gov/datasets/MassDOT::tidal-benchmarks-north-2050
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    Tidal Datum GIS outputsShapefiles are provided that present the approximate shore-parallel extent of tidal datums across coastal Massachusetts. These shapefiles are provided for 2030, 2050, and 2070 sea level rise scenarios. Individual shapefiles are provided for the north and south model domains for a total of 6 tidal datum shapefiles (2 model domains, 3 sea level rise scenarios). The results presented within these polygons are based upon tidal model simulations conducted using the MC-FRM, with north shapefiles created using the north model domain, and south using the south model domain. Separate polygons (zones) are provided for approximate location where MHW values vary to the nearest 0.1 ft interval. These zones are derived based on the variation in the MHW datum, and as such other datums (MHHW, MTL, MLW, and MLLW) may vary withineach segmented polygon, especially in areas of varied bathymetry. Data are presented in units of feet relative to the NAVD88 datum.These shapefiles contain the following fields: FID, Shape, Hatch, MHHW, MHW, MTL, MLW, and MLLW. The MHHW, MHW, MTL, MLW, and MLLW fields contain float type values representing the tidal datums calculated for each polygon rounded to the nearest tenth of a foot. The Hatch field contains a binary value (0 or 1), with 1 representing zones of uncertainty for tidal datums. These uncertain zones are either dynamic in terms of geomorphology or are restricted by smaller anthropogenic features (culverts, tide gates, etc.) that were not fully resolved in the MC-FRM. Zones with a 1 Hatch value may or may not contain tidal datum information. It is recommended that care be taken when utilizing the tidal benchmark information in these hatched zones and site-specific data observations (tide data) are recommended to verify the values in these areas. If datum information is not available 9999 values are located in the datum fields for that polygon. The FID and Shape fields contain an ID number and shape type contained in each polygon.The shapefiles provided are not intended to represent a spatial extent of the tidal benchmark (i.e., they do not present the geospatial location of water level). Rather, these shapefiles provide the tidal benchmark values that should be applied over each of the geospatial zones.

  14. NOS CO-OPS Water Level Data, Preliminary, 6-Minute

    • data.wu.ac.at
    • datasets.ai
    • +1more
    html, opendap, subset
    Updated Feb 8, 2018
    + more versions
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). NOS CO-OPS Water Level Data, Preliminary, 6-Minute [Dataset]. https://data.wu.ac.at/schema/data_gov/ZmFmODcyMzQtNGQxYy00ODIxLTk5OTYtYWVhODlkNTc1ZTQx
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    opendap, html, subsetAvailable download formats
    Dataset updated
    Feb 8, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    fe4d504149ee36180ade95b8ea697ae99e72b58b
    Description

    This dataset has recent, preliminary (not quality-controlled), 6-minute, water level (tide) data from NOAA NOS Center for Operational Oceanographic Products and Services (CO-OPS).

    WARNING: These 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.

    WARNING: * Queries for data MUST include stationID=, datum=, time>=. * Queries for data USUALLY include time<=. * Queries MUST be for less than 30 days worth of data. The default time<= value corresponds to 'now'. * Different stations support different datums. Use ERDDAP's Subset web page to find out which datums a given station supports. * The data source isn't completely reliable. If your request returns no data when you think it should: * Make sure the station you specified supports the datum you specified. * Try revising the request (e.g., a different datum or a different time range). * The list of stations offering this data (or the list of datums) may be incorrect. * Sometimes a station or the entire data service is unavailable. Wait a while and try again.

  15. NOS CO-OPS Water Level Data, Verified, High Low

    • datasets.ai
    • catalog.data.gov
    • +1more
    0, 21
    Updated Nov 12, 2020
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    National Oceanic and Atmospheric Administration, Department of Commerce (2020). NOS CO-OPS Water Level Data, Verified, High Low [Dataset]. https://datasets.ai/datasets/nos-co-ops-water-level-data-verified-high-low
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    0, 21Available download formats
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    National Oceanic and Atmospheric Administration, Department of Commerce
    Description

    This dataset has verified (quality-controlled), daily, high low water level (tide) data from NOAA NOS Center for Operational Oceanographic Products and Services (CO-OPS). This is a delayed dataset, not a near-real-time dataset.

    WARNING: * Queries for data MUST include stationID=, datum=, time>=, and time<=. * Queries MUST be for less than 30 days worth of data. * Different stations support different datums. Use ERDDAP's Subset web page to find out which datums a given station supports. * The data source isn't completely reliable. If your request returns no data when you think it should: * Make sure the station you specified supports the datum you specified. * Try revising the request (e.g., a different datum or a different time range). * The list of stations offering this data (or the list of datums) may be incorrect. * Sometimes a station or the entire data service is unavailable. Wait a while and try again.

  16. NOAA VDatum Conversion

    • oceans-esrioceans.hub.arcgis.com
    Updated Oct 4, 2022
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    Esri (2022). NOAA VDatum Conversion [Dataset]. https://oceans-esrioceans.hub.arcgis.com/maps/esri::noaa-vdatum-conversion/explore
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    Dataset updated
    Oct 4, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    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: metersThese 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.

  17. d

    Long-term and short-term shoreline change rates for Outer Cape Cod,...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 19, 2025
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    U.S. Geological Survey (2025). Long-term and short-term shoreline change rates for Outer Cape Cod, Massachusetts calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.0 [Dataset]. https://catalog.data.gov/dataset/long-term-and-short-term-shoreline-change-rates-for-outer-cape-cod-massachusetts-calculate
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    Dataset updated
    Nov 19, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Cape Cod, Massachusetts
    Description

    The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010 and 2014. The first new shoreline for the State includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 USACE Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates. Some of the rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names. The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150 years) and short term (~30 years) rates. Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have “ST” in their names.

  18. d

    Data from: (Table 3) Datum levels of ODP Holes 119-738B and 119-744B

    • search.dataone.org
    • doi.pangaea.de
    Updated Nov 11, 2025
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    Andreas Mackensen; Werner Ehrmann (2025). (Table 3) Datum levels of ODP Holes 119-738B and 119-744B [Dataset]. http://doi.org/10.1594/PANGAEA.759604
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    Dataset updated
    Nov 11, 2025
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Andreas Mackensen; Werner Ehrmann
    Time period covered
    Jan 10, 1988 - Feb 7, 1988
    Area covered
    Description

    This dataset is about: (Table 3) Datum levels of ODP Holes 119-738B and 119-744B. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.759625 for more information.

  19. Metadata record for: Vertical datum transformation grids for Mexico

    • figshare.com
    • springernature.figshare.com
    txt
    Updated Jun 2, 2023
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    Scientific Data Curation Team (2023). Metadata record for: Vertical datum transformation grids for Mexico [Dataset]. http://doi.org/10.6084/m9.figshare.12302564.v1
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    txtAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Scientific Data Curation Team
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Mexico
    Description

    This dataset contains key characteristics about the data described in the Data Descriptor Vertical datum transformation grids for Mexico. Contents:

        1. human readable metadata summary table in CSV format
    
    
        2. machine readable metadata file in JSON format
    
  20. H

    Maui 2019 DTM

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Sep 5, 2025
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    Office of Planning (2025). Maui 2019 DTM [Dataset]. https://opendata.hawaii.gov/dataset/maui-2019-dtm
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Area covered
    Maui
    Description

    Digital Terrain Model (bare earth) of parts of Maui and Molokai. Partial coverage Vexcel, Inc. LIDAR of Maui and Molokai were purchased by County of Maui to assist with three-dimensional modeling of structures in areas of higher development. 1'/px, LIDAR-derived, bare earth DEM/elevation raster of parts of Maui and Molokai – specifically, Central Molokai, Kahului, Kihei, Lahaina and Pukalani. XY units: feet, Z units: meters. Use Limitations: 1.Disclaimer - This dataset is being placed in the public domain. Any use is allowed except for re-sale. Neither Vexcel, Inc., the County of Maui, nor the State of Hawaii make any guarantees, expressed or implied, regarding its accuracy or fitness of use. Users should verify XYZ values through a licensed surveyor for any engineering application. This data should only be used as a guide, vs. a statement of fact regarding real-world conditions. 2.Vertical Datum - The originator of this LIDAR dataset, Vexcel Inc. of Boulder, Colorado referenced Z values to the North American Vertical Datum of 1988 (NAVD88). NAVD88 is not recognized as a valid vertical reference for the state of Hawaii. Currently Hawaii has no official (de jure or de facto) vertical datum, and NOAA's National Geodetic Survey (NGS) recommends that elevations be referenced to the nearest NOAA tidal gauge. A legacy LIDAR dataset produced in 2013 by the United States Army Corps of Engineers (USACE) used NAD83(PA11) as its vertical reference. In theory this approach should result in better accuracy for the Z dimension as PA11 is a Pacific plate-centric datum. In comparing flat areas containing neither structures or vegetation, it was found that the Vexcel values sit approximately 4 feet above the USACE dataset. The vertical datum issue was brought to the attention of Vexcel, Inc. Vexcel used the 2013 USACE LIDAR as vertical control to correct their LIDAR data. The (corrected) .las data is shared as it was delivered. As stated above, the use of this data transfers all risks and assumption of responsibility to the user. For more information see https://files.hawaii.gov/dbedt/op/gis/data/Maui_2019_DTM.html or contact County of Maui at GISMonitor@co.maui.hi.us or Hawaii Statewide GIS Program at gis@hawaii.gov.

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(Point of Contact, Custodian) (2025). Vertical Datum Transformation [Dataset]. https://catalog.data.gov/dataset/vertical-datum-transformation1

Vertical Datum Transformation

Explore at:
Dataset updated
May 20, 2025
Dataset provided by
(Point of Contact, Custodian)
Description

VDatum is a free software tool being developed jointly by NOAA's National Geodetic Survey (NGS), Office of Coast Survey (OCS), and Center for Operational Oceanographic Products and Services (CO-OPS). VDatum is designed to vertically transform geospatial data among a variety of tidal, orthometric and ellipsoidal vertical datums -

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