AndreaBozzo/ceres-open-data-index huggingface dataset:
2014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline Mapping

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system.  The data were acquired from 20140108 - 20140522 in four missions.  The missions flown on 20140108 and 20140109 represent Low Water missions and the missions flown on 20140516 and 20140522 represent High Water (everything outside of MLLW tidal requirements) missions. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), refracted High Water data landward of the MLLW land/water interface (18), bathy noise (22), noise as defined by the sensor (23), refracted sensor noise (24), water column (25), bathymetric bottom or submerged topography (26), water surface (27), International Hydrographic Organization (IHO) S-57 objects (30), and temporal bathy bottom (31) in accordance with project specifications. Several of the noise classes were filtered out prior to distribution on the Digital Coast. The full project consists of 2,775 square miles along the Atlantic Coast from New York to South Carolina.  This dataset represents a contiguous area covering a portion of acquisition block 1 to 140 with 500 m x 500 m lidar tiles.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
   Title: Chief, Remote Sensing Division
   Phone: 301-713-2663

Tags: 20140108, 20140109, 20140516, 20140522, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, delaware, doc/noaa/nos/ngs, earth science, land surface, maryland, national geodetic survey, national ocean service, new jersey, new york, ngs lidar, noaa, north america, north carolina, oceans, seafloor topography, south carolina, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA's Coastal Change Analysis Program (C-CAP) 2021 Regional Land Cover Data - Coastal United States

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S.  C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats, on a one-to-five year repeat cycle. These maps are developed utilizing Landsat Thematic Mapper imagery, and can be used to track changes in the landscape through time.  This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are considered the coastal expression of land cover within the National Land Cover Database.

Tags: 2021, c-cap, cameras, ccap, coastal change analysis program, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, land cover analysis, land management, land surface, land use classes, land use/land cover, land use/land cover classification, landsat, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, u.s. coastal zone, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA C-CAP National Wetland Potential

The probability rating which covers landcover mapping provides a continuum of wetness from dry to water. The layer is not a wetland classification but provides the wetland likelihood at a specific location. The rating was developed through a modelling process combining multiple GIS and remote sensing data sets including soil characteristics, elevation, existing wetland inventories, hydrographical extents and satellite imagery .

Data available via download from the Digital Coast, either from customizable download in NOAA's Digital Access Viewer or FTP download by regions.

Tags: alabama, c-cap, california, cameras, ccap, coastal change analysis program, connecticut, continent, delaware, district of columbia, doc/noaa/nos/ocm, earth science, environmental governance/management, florida, georgia, human dimensions, illinois, indiana, land cover analysis, land management, land surface, land use classes, land use/land cover, land use/land cover classification, landsat, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, national ocean service, new hampshire, new jersey, new york, noaa, north america, north carolina, office of coastal management, ohio, oregon, pennsylvania, remotely sensed imagery/photos, rhode island, south carolina, texas, u.s., u.s. coastal zone, u.s. department of commerce, united states, united states of america, vermont, virginia, washington, washington dc, wetlands, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018-2020 HI Hawaii Island Lidar Hydro-Flattened Bare-Earth DEM

Product: 1-meter bare-earth raster digital elevation model (DEM) data tiles in GeoTIFF format.
Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii.
Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID1B) Meters. DEM data was delivered as Geo files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles.
Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 0 independent accuracy checkpoints (0 NVA points and 0 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
Areas near cliffs with dense vegetation may have poor interpolations over voids. Please see the data use constraints section.

Tags: airplane, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2021 Nottawa Creek, MI Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat.

To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021.

In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. 

AOI/Pilot Sites

1. Christiana Creek, MI

2. Fletcher Pond, MI

3. Flowerfield Creek, MI

4. French Farm Lake, MI* 

5. Hamlin Lake, MI

6. Indiana Dunes, IN

7. Manistee River, MI

8. Miller Woods, IN

9. Nottawa Creek, MI

10. Potagannissing, MI

11. Rocky Creek, MI

12. Tawas Lake, MI

*To request imagery and associated vector and field data for this site, please contact:
Jon Mauchmar
Wildlife Technician
Little Traverse Bay Bands of Odawa Indians
Natural Resources Department - Inland Fish & Wildlife Program
Office: 231-242-1670
jmauchmar@ltbbodawa-nsn.gov

Tags: airplane, cameras, color infrared, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, hyperspectral, imagery, infrared imagery, infrared wavelengths, mi, michigan, national ocean service, natural color, noaa, nottawa creek, office of coastal management, orthoimage, rectified image, spectral/engineering, u.s. department of commerce, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Massachusetts and Rhode Island 2016 POLITICAL_POLY (Political or Jurisdictional Management Polygons)

This data set contains vector polygons depicting locations for political areas for Massachusetts and Rhode Island.  Political areas in this atlas include ACE districts and divisions, coast guard districts and sectors, county boundaries, EPA and FEMA regions, state waters, and tribal lands. The polygons in the POLITICAL  data layer may overlap where an area is associated with more than one agency or feature type. As an example, multiple parks may fall within a county boundary, which may itself fall within a larger polygon depicting the jurisdiction of an Army Corps of Engineers region. Location-specific type and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer.   This data set is a portion of the ESI data for Massachusetts and Rhode Island. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the POLITICAL_LINE (Political Lines) and POLITICAL_POINT (Political Points) data layers for additional human-use information.

Tags: 2016, administrative divisions, boundaries, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, massachusetts, massachusetts and rhode island, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, rhode island, sensitivity maps, socioeconomic resources, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Massachusetts and Rhode Island 2016 SOCECON_POINT (Socioeconomic Resource Points)

This data set contains vector points depicting locations for socioeconomic  features for Massachusetts and Rhode Island.  Socioeconomic  feature points in this atlas include airports, archaeological sites, beaches, EPA, NOAA, and electrical facilities, historical wrecks and sites, landfills, and renewable energy sites.  Location-specific type and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer.   This data set is a portion of the ESI data for Massachusetts and Rhode Island. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the SOCECON_POLY (Socioeconomic Feature Polygons) and SOCECON _LINE (Socioeconomic Feature Lines) data layers for additional human-use information.

Tags: 2016, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, infrastructure, massachusetts, massachusetts and rhode island, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, rhode island, sensitivity maps, socioeconomic resources, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
DEEP Trails Set

DEEP Trails Set:

Trail Access Points are point features in the Statewide Trails Database that describe where trails are accessed at trail heads, state and municipal parks and forests, or other points of departure. Trail Points of Interest are point features in the Statewide Trails Database that describe where there are scenic overlooks, bridges, river crossings or other historic or geologic sites of interest along trails. These features are directly located along trails and do not describe amenities commonly found on park grounds such as parking areas, picnic areas, and restrooms. Trail Point of Interest features are optional. Trails are line features in the Statewide Trails Database that describe the location of single and multi-use trails, access trails, connector trails, and regional trails. These features may also describe bike routes along public roads and their relationship with connecting multi-use paved trails used for walking, running, inline-skating, and bicyling, for example. Trail features describe hiking trails, nature trails, bike routes, and Americans with Disabilities Act (ADA) accessible trails such as certain walkways, boardwalks and stone dust surfaced trails. Individual trail features are described in terms of their surface type (unpaved, paved, unpaved road, paved road, etc.) and whether activities such as hiking, walking, running, inline skating, bicycling, mountain biking, motorbiking, all terraine vehicle use, snowmobiling, cross-country skiing, and horseback riding are permitted. Also indicates whether leashed or unleashed dogs are allowed. Roadway line features are optional features in the Statewide Trails Database used to place a trail system in context with nearby park roads or park entrance. They are very simple line features used to represent driveways, park roads, forest roads, and occasionally public roads on or along the public property where the trail system exists. Roadway line features are optional. They are not used for mapping bike routes. Trail line features are used for mapping bike routes.

Tags: connecticut, ct, ctdeep, deep, driveway, forest-road, hiking, land-conservation-and-outdoor-recreation, park-road, roadway, trail, trail-access, trailhead, trails, walking
Organization: State of Connecticut
Massachusetts and Rhode Island 2016 POLITICAL_LINES (Political or Jurisdictional Management Lines)

This data set contains vector lines depicting locations for political lines for Massachusetts and Rhode Island.  Political lines in this atlas include state borders . The lines in the POLITICAL data layer may overlap where an area is associated with more than one agency or feature type. As an example, multiple parks may fall within a county boundary, which may itself fall within a larger polygon depicting the jurisdiction of an Army Corps of Engineers region.  Location-specific type and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer.   This data set is a portion of the ESI data for Massachusetts and Rhode Island. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the POLITICAL_POINT (Political Points) and POLITICAL_POLY (Political Polygons) data layers for additional human-use information.

Tags: 2016, boundaries, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, massachusetts, massachusetts and rhode island, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, political divisions, rhode island, sensitivity maps, socioeconomic resources, state boundaries, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
EPA Mauna Loa Observatory Daily Gaseous Elemental Mercury (GEM) data 2002-2010

EPA/NOAA Mauna Loa Observatory Daily Gaseous Elemental Mercury (GEM) data 2002-2010. 

This dataset is associated with the following publication:
Feinberg, A., N. Selin, C. Braban, K. Chang, D. Cust�dio, D. Jaffe, K. Kyll�nen, M. Landis, S. Leeson, K. Molepo, M. Murovec, M. Nerentorp Mastromonaco, K. Aspmo Pfaffhuber, J. R�diger, G. Sheu, and V. St.Louis. Increasing anthropogenic emissions inconsistent with declining atmospheric mercury concentrations.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA,  0, (2024).

Tags: anthropogenic-emissions, box-model, chemistry-transport-mode, mercury-trends, minamata-convention
Organization: U.S. Environmental Protection Agency
Employment status and exposure to DBPs

We used data from CDC's National Birth Defect Prevention Study, the largest case-control study of birth defects ever conducted.  Data were collected for cases and controls via a computer-assisted telephone information, and included information related to demographics, pre-existing health conditions, medication use, employment/occupation, personal hobbies, diet, and water use. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. 

This dataset is associated with the following publication:
Zaganjor, I., A. Keil, T. Luben, T. Desrosiers, L. Engel, J. Reefhuis, A. Michalski, P. Langlois, A. Olshan, and N.B.D.P.S. [Corporate Author]. Is maternal employment site a source of exposure misclassification in studies of environmental exposures and birth outcomes? A simulation-based bias analysis of haloacetic acids in tap water and hypospadias..   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 6(2): e207, (2022).

Tags: bias-analysis, birth-defects, disinfection-by-products, exposure-misclassification, haloacetic-acids, hypospadias
Organization: U.S. Environmental Protection Agency
Code for EPA HAWC ecological evidence extraction form

This is code for the ecological evidence extraction form for EPA HAWC. 

This dataset is associated with the following publication:
Ridley, C.E., C. Hansen, P. Byrley, T. Greaver, S.D. Kaylor, R.B. Rice, K.A. Schofield, and A. Shapiro. Web-based ecological evidence entry form enables consistent, accessible extraction and visualization for synthesis applications.   Conservation Science and Practice. John Wiley & Sons, Inc., Hoboken, NJ, USA, 7(2): e13278, (2025).

Tags: assessment, conservation, controlled-vocabulary, data-visualization, ecology, environmental-management, evidence, synthesis, systematic-review, web-based-content-management
Organization: U.S. Environmental Protection Agency
Dataset Long term performance of six air sensors across the United States

From July 2019 until January 2021, six models of air sensors were operated at seven air quality monitoring sites across the U.S. in Phoenix, Arizona, Denver, Colorado, Wilmington, Delaware, Decatur, Georgia, Research Triangle Park, North Carolina, Oklahoma City, Oklahoma, and Milwaukee, Wisconsin. Sensors testing included the Aeroqual AQY, Clarity Node, Clarity Node-S, Applied Particle Technology Maxima, PurpleAir PA-II-SD, Sensit RAPM, and Aerodyne Arisense. This dataset includes the processed data from the paper "Long term performance of six PM2.5 sensors across the United States" loaded here in sciencehub and also the raw datasets from the sensors loaded into Zenodo. 

Tags: air-monitoring, air-quality, air-sensor, data, evaluation, no2, ozone-o3, pm2-5, quality-assurance
Organization: U.S. Environmental Protection Agency