AndreaBozzo/ceres-open-data-index huggingface dataset:
San Francisco Bay Interferometric Bathymetry: Area B

High resolution sonar data were collected over ultra-shallow areas of the San Francisco Bay estuary system. Bathymetric and acoustic backscatter data were collected simultaneously in 10 survey blocks.  All of these blocks were surveyed with 100% cover of backscatter imagery.  These data were collected as source material for planned benthic habitat mapping.  An earlier project had been completed to map the very-shallow subtidal and intertidal areas using optical methods. Interferometric sidescan bathymetry data were acquired using a 468 kHz Bathyswath sonar system aboard the RV MacGinitie and RV Kelpfly.  Both of these platforms were well suited to acquire data in the very shallow subtidal areas of the bay.
Original contact information: 
   Contact Name: Jen Eckerle
   Contact Org: Ocean Protection Council (OPC)
   Title: Deputy Director, Ocean Protection Council
   Phone: 916-653-9416
   Email: jen.eckerle@resources.ca.gov

Tags: bathymetry, benthic, biosphere, california, california ocean protection council, california seafloor mapping program (csmp), coastal, continent, contra costa county, doc/noaa/nos/ocm, earth science, ecosystems, estuary, interferometric sonar, marin county, marine ecosystems, national ocean service, noaa, north america, office of coastal management, san francisco county, san mateo county, solano county, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Louisiana West

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
This metadata record describes the Louisiana West digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Allen, Beauregard, Calcasieu, Cameron, and Jefferson Davis Parishes.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Chenier Plain LA Lidar
      2. 2006 LA Statewide Lidar
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: allen parish, bathymetry/topography, beauregard parish, calcasieu parish, cameron parish, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, jefferson davis parish, land surface, lidar, louisiana, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1998 Northeast NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected during December 1998 and covers coastline in the states of Maryland,
New York, Pennsylvania, Ohio, and Massachusetts. Maryland coverage is on the eastern shore of the Delmarva peninsula,
New York coverage is along the barrier islands of Long Island and Lake Erie, Ohio and Pennsylvania coverage is
along Lake Erie, and Massachusetts coverage is on Cape Cod. 
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, maryland, massachusetts, national ocean service, new york, noaa, north america, oceans, office of coastal management, ohio, pennsylvania, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Anatahan, 2016

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized a primary Worldview-2 multispectral scene dated 03-06-2016. A secondary Worldview-2 multispectral scene dated 12-03-2012 was used to patch small cloud areas in the primary image.

Tags: 2016, airplane, anatahan, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Puerto Rico

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Runoff Estimates for Small Rural Watersheds and Development of a Sound Design method. Volume II. (Fletcher et al., 1977). Lines connecting points of equal rainfall erosivity are called isoerodents. The isoerodents plotted on a map of the Island of Puerto Rico were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 30 meter resolution in UTM, Zone 20, GRS80, NAD83.

Tags: agriculture, atlantic ocean, caribbean sea, coastal zone, commonwealth of puerto rico, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, land surface, national ocean service, noaa, north america, north atlantic ocean, ocean, office of coastal management, opennspect, puerto rico, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Estero Bay Area, Florida 1999 Biotic

Data produced for the Florida Fish and Wildlife Conservation Commission's Florida Marine Research Institute (FMRI) in partnership with the South Florida Water Management District (SFWMD).  This data set consists of digital data describing the seagrass, unvegetated bottom, open water, algal beds, oysters, and apparent shoreline for the Southwest Florida Seagrass project area,which consists of Pine Island Sound, Matlacha Pass, San Carlos Bay, the lower Caloosahatchee River, and Estero Bay, in 1999.  The data set includes an ArcInfo coverage that was digitized from 1:24000 scale natural color aerial photographs that were photogrammetrically georeferenced utilizing GPS ground control points.  Data was stereoscopically photointerpreted and digitized using a Zeiss P3 analytical stereoplotter.  The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres.  A Photointerpretation Key was developed to aid in the classification of collected data. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI.  Digital files were created in Microstation design file format (.dgn).  1999 SWIM Seagrass data was translated from ARC/Info to .dgn format and was referenced as collateral tie information during the compilation process. These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAA\OCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: 2005, 2006, benthic, benthic habitats, biosphere, biotic component, caloosahatchee river, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, estero bay, estuary, florida, marine ecosystems, matlacha pass, national ocean service, noaa, north america, office of coastal management, oyster reef, photointerpretation, pine island sound, san carlos bay, seafloor, seagrass, submerged aquatic vegetation, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 Mobile County, AL DMC 4-Band 8 Bit Imagery

This dataset was developed to support Mobile County. The project area is 1402 square miles of Mobile County land. The scope of work involved data acquisition and processing, and the development of digital color orthophotography at 0.5 foot pixel resolution, meeting ASPRS Class II Standards for 1"=100' scale mapping for the entire project area.
Original contact information: 
   Contact Name: Scott Kearney
   Contact Org: City of Mobile
   Title: GIS Manager
   Phone: (251) 208-7942
   Email: kearney@cityofmobile.org

Tags: 4-band, airplane, alabama, cameras, continent, digital color orthophotography, doc/noaa/nos/ocm, earth science, geotiff, imagery, infrared imagery, infrared wavelengths, mosaic, national ocean service, noaa, north america, office of coastal management, ortho-rectified imagery, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2012 NOAA Fisheries Topographic Lidar: Bridge Creek, Oregon

This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. In March 2012, WSI (Watershed Sciences, Inc.) was contracted by Woolpert, Inc. (Woolpert) to collect Light Detection and Ranging (LiDAR) data and digital imagery in the fall of 2012 for the Bridge Creek LiDAR site in Oregon. The LiDAR survey used a Leica ALS60  laser system, classified to ground and non-ground points, stored in LAS 1.2 format. WSI (Watershed Sciences, Inc.) was contracted by Woolpert, Inc. (Woolpert) to collect Light Detection and Ranging (LiDAR) data for the Bridge Creek LiDAR site in Oregon. The project area delivered is 9163 square acres. These files contain classified topographic lidar data as unclassified valid topographic data (1), and valid topographic data classified as ground (2). Classes 1 and 2 are defined in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards.

Tags: bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, fisheries, imagery, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, oregon, photography, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Assessing Habitat Vulnerability in a Time of Change - NERRS/NSC(NERRS Science Collaborative)

Several reserves collaborated to develop the Climate Change Vulnerability Assessment Tool for Coastal Habitats. The tool helps decision makers evaluate a habitatâs vulnerability to climate change and prioritize it for conservation or restoration. South Carolinaâs North Inlet-Winyah Bay Reserve and the Chesapeake Bay Virginia Reserve worked with local partners to refine and pilot this tool and share it with the national reserve system.

Tags: biosphere, ccvatch, chesapeake bay va, climate adaptation, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, marine ecosystems, mission aransas, narragansett bay, national ocean service, nerrs, nh, noaa, north inlet-winyah bay, office of coastal management, ri, sc, tx, u.s. department of commerce, vulnerability assessment
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Balancing Freshwater Needs in Texas' Changing Climate - NERRS/NSC(NERRS Science Collaborative)

Healthy estuaries are vital to the economy of the Texas central coast, supporting the regionâs multibillion-dollar fishing industry and growing tourist trade. Adequate supplies of freshwater are key to the productivity of these estuaries. However, as the regional population grew and the recent drought deepened, estuaries were receiving less freshwater.

Tags: biosphere, climate change, crab, doc/noaa/nos/ocm, drought, earth science, ecosystems, estuary, freshwater, marine ecosystems, mission aransas, national ocean service, nerrs, noaa, office of coastal management, salinity, tx, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Coastal Georgia Elevation Project Lidar Data

Between January and March 2010, lidar data was collected in southeast/coastal Georgia under a multi-agency partnership between the Coastal Georgia
Regional Development Center, USGS, FEMA, NOAA and local county governments. Data acquisition is for the full extent of coastal Georgia,
approximately 50 miles inland, excluding counties with existing high-resolution lidar derived elevation data. The data capture area consists
of an area of approximately 5703 square miles. This project is within the Atlantic Coastal Priority Area as defined by the National Geospatial
Program (NGP) and supports homeland security requirements of the National Geospatial-Intelligence Agency (NGA). This project also supports
the National Spatial Data Infrastructure (NSDI) and will advance USGS efforts related to The National Map and the National Elevation Dataset.

The data were delivered in LAS format version 1.2 in 5000 x 5000 foot tiles. The data are classified according to ASPRS LAS 1.2 classification
scheme:

Class  1 - Unclassified
Class  2 - Bare Earth
Class  7 - Low Point (Noise)
Class  9 - Water
Class 10 - Land below sea level
Class 12 - Overlap

Tags: bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, georgia, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Directory of Temporary Public Art

Temporary art exhibitions and installations in New York City Department of Parks & Recreation properties since 2000.

To convert the JSON feed to CSV (or excel), use: https://json-csv.com/

Data Dictionary: https://docs.google.com/spreadsheets/d/1tDKjYnYG1xPkMhBPr8vPKWVSoEhSBxYWkXsCDkgpBcE/edit?usp=sharing

Tags: directory-of-temporary-public-art, dpr, healthy-living, parks
Organization: City of New York
Enviromental Facility (point)

Location data for facilities, incident sites and monitoring points, at the facility level, regulated or tracked by environmental programs within the jurisdiction of the Arkansas Department of Environmental Quality.

Tags: adeq, air, arkansas, chicken, chickens, coal, collection, confined, discharge, environment, facilities, facility, farm, gravel, hazardous, hog, hogs, injection, landfill, landfills, mining, npdes, permit, permits, petroleum, plant, pollution, processing, quarry, storage, storage tank, storage tanks, tire, treatment, underground, underground storage facility, united states of america, waste
Organization: State of Arkansas
New York City Water Trail (Kayak and Canoe Launch Sites)

The New York City Water Trail connects New York City’s rivers, creeks, and waterways together for paddling enthusiasts. Use this data to find launch sites on the water trail for kayaks and other openwater rowing craft

Tags: canoe, department-of-parks-and-recreation-dpr, dpr, kayak, launch, new-york-city-water-trail, new-york-city-water-trail-kayak-and-canoe-launch-sites, paddling, waterway
Organization: City of New York
2003 C-CAP Land Cover, Territory  of  American Samoa,  Tutuila

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 7 partial Quickbird multispectral scenes and were analyzed to detect C-CAP land cover features on Tutuila, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, tutuila, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP, Guam, 2005-2016 Land Cover Change Analysis

This data set contains the 2005 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2005 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, c-cap, cameras, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, guam, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NYC Open Data Plan: Civic Engagement Activities (Historical)

Civic engagement activities agencies completed between September 15 and April 30 for the 2020-2022 reports. The latest data is available at https://data.cityofnewyork.us/d/9hhx-gjf8

Tags: compliance-plan, local-law-11-of-2012, open-data-plan, open-data-report
Organization: City of New York
C-CAP United States Virgin Islands, St. Croix 2002-2007-Era Land Cover Change Analysis

This data set contains the 2002-era and 2007-era classifications of
St. Croix, United States Virgin Islands and can be used to analyze change.
This data set utilized 38 full or partial ADS40 scenes
which were analyzed according to the Coastal Change Analysis Program (C-CAP)
protocol to determine land cover.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st. croix, u.s. department of commerce, us territory, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Ecological Marine Units: Water Quality

A compilation of ocean water quality (temperature, salinity, and dissolved oxygen) data at Â¼ degree spatial resolution for the entire United States Exclusive Economic Zone. The dataset is derived from the ESRI Ecological Marine Unit (EMU) dataset, which was assembled from non-supervised statistical clustering of over 52 million points from NOAAâs World Ocean Atlas (2013) WoA database, an authoritative 57 year archive of global water column data. This derived dataset is divided into three separate point shapefiles, each representing either temperature (degrees Celsius), salinity (practical salinity units), or dissolved oxygen (mg/L). Values represent a climatological average. Each shapefile is formatted such that a single point location (i.e., unique associated latitude and longitude) contains a unique column entry for a given depth interval. Depth intervals are variable from 5 m near the surface to 100 m in the deeper regions (> 2000 m) for a total of 102 depth levels. All disclaimers provided by the original dataset authors apply to this derived dataset. For detail on these disclaimers, please refer to the following reference: Sayre, R., J. Dangermond, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, M.J. Costello, P. Harris, K. Goodin, M. Kavanaugh, N. Cressie, J. Guinotte, Z. Basher, P. Halpin, M. Monaco, P. Aniello, C. Frye, D. Stephens, P. Valentine, J. Smith, R. Smith, D.P. VanSistine, J. Cress, H. Warner, C. Brown, J. Steffenson, D. Cribbs, B. Van Esch, D. Hopkins, G. Noll, S. Kopp, and C. Convis. 2017. A New Map of Global Ecological Marine Units â An Environmental Stratification Approach. Washington, DC: American Association of Geographers. 36 pages.

Tags: alternative energy planning, biology, coastal energy planning, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, renewable energy, territorial sea, u.s. department of commerce, united states of america, water column features, water quality parameters
Organization: National Oceanic and Atmospheric Administration, Department of Commerce