AndreaBozzo/ceres-open-data-index huggingface dataset:
Delaware Bay Benthic Habitat 2010

These data represent the benthic habitat and sub-bottom sediments of the Delaware Bay and Delaware River. The data were compiled by a partnership among the Delaware Coastal Program of its Division of Soil and Water Conservation, now the Division of Climate, Coastal and Energy, within the Department of Natural Resources and Environmental Control; the University of Delaware; the Partnership for the Delaware Estuary; and the New Jersey Department of Environmental Protection. This project was initiated to better understand the distribution of bottom sediment types, habitat biodiversity, and most importantly, humans' impact on the bay bottom and its living resources. The project integrates the use of three types of acoustical systems: Roxann Seabed classification system, chirp sub-bottom profiling, and multibeam bathymetric mapping. Verification of the acoustic data with bottom and sub-bottom sediments was performed through the collection of core samples and underwater video images.

The Delaware Bay project has four principal goals. The first goal is to determine the location and extent of oyster reef habitats in upper Delaware Bay to improve management of these commercial resources in Delaware and New Jersey. The second goal is to evaluate shortnose and Atlantic sturgeon habitats. Sturgeon exhibit an affinity for specific regions within the system, and a better understanding of these areas will help evaluate the impact of dredging and other activities. The third goal is to identify potential borrow sites for materials used in beach renourishment. The fourth goal is to utilize high-resolution bathymetry data to improve understanding of sediment movement and other human impacts on the bay.

The layers available within the data download include: biotic, geoform, and substrate.

Partners: Delaware Department of Natural Resources and Environmental Control, University of Delaware, Partnership for the Delaware Estuary, New Jersey Department of Environmental Protection

Tags: benthic, biosphere, biotic, coastal, delaware, doc/noaa/nos/ocm, earth science, ecosystems, geoform, marine ecosystems, marinecadastre, national ocean service, new jersey, noaa, office of coastal management, oyster, reef, shellfish, submerged aquatic vegetation, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Traffic Signal Change and Clearance Interval Pooled Fund Study Utah Video Data

The dataset consists of short video clips (approximately 20 seconds each) capturing traffic intersections in Utah as part of the ITS JPO's Traffic Signal Change and Clearance Interval Pooled Fund Study. Each clip focuses on the yellow-light phase of traffic signals, providing visual data of vehicle and pedestrian responses during this transitional period.

Similar datasets exist for <a href="https://data.transportation.gov/p4af-txqh">Florida</a> and <a href="https://data.transportation.gov/rgdp-twdm">Arizona</a>. <a href="https://data.transportation.gov/Automobiles/Traffic-Signal-Change-and-Clearance-Interval-Poole/4gs7-6hs3">Intersection summary and crash data</a>, <a href="https://data.transportation.gov/Automobiles/Traffic-Signal-Change-and-Clearance-Interval-Poole/e9cn-jdnu/about_data">Basic Safety Messages</a>, and <a href="https://data.transportation.gov/Automobiles/Traffic-Signal-Change-and-Clearance-Interval-Poole/j7k2-8r24/about_data">Signal Phase and Timing</a> message data are also available for this project.

Tags: category-traffic-management, connected-vehicles, intelligent-transportation-systems-its, intersection-data, its-joint-program-office-jpo, project-traffic-signal-change-and-clearance-interval-pooled-fund-study, subcategory-infrastructure-based-traffic-surveillance, utah, video
Organization: Department of Transportation
San Francisco Bay Benthic Habitat 2011

These data define habitat data within the San Francisco Bay area and were developed through a collaborative effort with the California State Coastal Conservancy on behalf of the Ocean Protection Council. This project aimed to collect and delineate approximately 930 square miles of intertidal and subtidal lands. Habitat delineation extended from the upper intertidal zone to the point where bottom image signatures were no longer visible due to depth or turbidity, approximately minus-2 meters in the San Francisco Bay system. A single benthic habitat dataset was used to extract three data layers: biotic, substrate, and geoform. While polygon boundaries remained unchanged during extraction, any polygons lacking biotic, substrate, or geoform information were removed from their respective layers. These data are designed to assist local coastal zone managers in their decision-making processes and the long-term management of the Bay, including applications such as sea level rise.

The layers available within the data download include: biotic, geoform, and substrate.

Partners: California State Coastal Conservancy on behalf of the Ocean Protection Council

Tags: algae, benthic, biosphere, biotic, california, coastal, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, geoform, marine ecosystems, marinecadastre, marsh, national ocean service, noaa, office of coastal management, seafloor, seagrass, submerged aquatic vegetation, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Benthic Habitat 2007

From 2006 to 2007, NOAA's Office for Coastal Management led the effort to process existing digital multispectral imagery (ADS-40) and generate digital benthic habitat data, primarily focusing on Submerged Aquatic Vegetation (SAV) for specific bays along the Texas coastal bend. The resulting data were intended to support the state's Seagrass Monitoring Program, which requires regional SAV mapping for status and trends assessment. The geographic extent of these data include San Antonio Bay and Espiritu Santo Bay, covering approximately 134 square miles. Benthic habitat data were generated from 2007 orthoimagery for all estuarine lands below mean high water within the study area. No benthic data were produced for the marine side of the barrier island beaches.

The layers available within the data download include area, biotic, geoform, and substrate.

Partners: Fugro EarthData, Texas Parks and Wildlife Department, and Texas A&M University Center for Coastal Studies

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, geoform, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, seafloor, seagrass, substrate, texas, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
South Manitou Island Benthic Habitat 2016

These data provide benthic habitat maps for a 42-square-kilometer area at South Manitou Island in Lake Michigan. This joint pilot project between NOAA's Office for Coastal Management and the National Park Service applies the Coastal and Marine Ecological Classification Standard (CMECS) in the Great Lakes region and, specifically, the Sleeping Bear Dunes National Lakeshore. The project primarily focuses on mapping lakeshore substrates to assess their value as fisheries habitat. Additionally, the mapping effort aims to determine the distribution and extent of the widespread nuisance filamentous algae, Cladophora sp., found in the area.

The workflow combined photo interpretation, object-based image analysis, field verification, and expert manual interpretation. These data include CMECS substrate and biotic components, classified to at least the subclass level. Co-occurring elements and modifiers (e.g., percent cover, induration, surface pattern) were also included for both components. Example images and corresponding CMECS classifications are available in the project report. These data also include GPS navigation tracks for each field site, video clips for many sites, and field validation points conducted over two days in August 2017 to ensure the accuracy of the map products.

Source data for the mapping included underwater photography, aerial imagery, acoustic backscatter (side-scan and multibeam sonar), and high-resolution lidar data collected around the island in 2016.

The layers available within the data download include: biotic, field_point, substrate, and transect.

Partners: National Park Service

Tags: algae, benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, lake michigan, marine ecosystems, marinecadastre, michigan, national ocean service, noaa, office of coastal management, seafloor, south manitou island, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Klawock Lagoon Benthic Habitat 2011

These data establish a baseline of benthic habitats to support future change detection activities in the Klawock River Lagoon on Alaska's Prince of Wales Island. In spring 2011, benthic habitats were mapped in the lagoon, adjacent Klawock Bay, and Klawock Harbor. The mapping emphasized eelgrass beds, which are essential for the early survival of salmon fry.

The Klawock River drains a 29,061-acre watershed with 132 miles of streambed habitat, supporting seven salmon and trout species. The salmon fishery is a vital economic, cultural, and food resource in the Klawock area. In 1964, a causeway was constructed, blocking access to the lagoon from Klawock Bay and significantly reducing salmon harvests. The Nature Conservancy led a partnership to construct a culvert through the causeway, reestablishing free passage between the river and Klawock Bay. This is expected to help restore full use of the river as salmon-spawning habitat and generally improve the lagoon's quality.

Aerial multispectral imagery was collected over the lagoon, bay, and harbor during the week of April 19, 2011, coinciding with the causeway's breaching. Environmental factors crucial for successful benthic mapping were incorporated into mission planning. These included collecting imagery within 1.5 hours of a zero or negative tide, clear water conditions (no algal blooms or sediment plumes from runoff), low winds to avoid surface waves, and sufficient solar illumination for imaging submerged areas.

Due to insufficient biomass or illumination through the water column at the time of the aerial mission, eelgrass habitats in the lagoon could not be mapped from that source. Therefore, eelgrass habitats were determined by two field-digitizing processes, conducted in August 2010 and September 2011. The final hybrid data capture habitats 10 meters by 10 meters or larger and possess the same positional accuracy as the source imagery.

The layers available within the data download include: biotic, geoform, and substrate.

Partners: The Nature Conservancy

Tags: alaska, benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, geoform, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, seafloor, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Long Island South Shore Benthic Habitat 2002

These data provide a baseline inventory of submerged aquatic vegetation within Long Island's South Shore bays. The data were derived from conventional-color metric film diapositives obtained in June 2002 from the New York Department of State's Division of Coastal Resources. Benthic classifications follow the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). The study area spans approximately 443 square kilometers, extending from the west end of Long Beach Island in Nassau County eastward to Heady Creek at the east end of Shinnecock Bay in Suffolk County.

The creation of this baseline inventory was a critical need identified in the Comprehensive Management Plan for the Long Island South Shore Estuary Reserve. Established following the state legislature's passage of the Long Island South Shore Estuary Reserve Act in 1993, the management plan aimed to protect and improve the estuary's ecosystem, enhance public access, and support sustainable economic activities. Ultimately, the goal was to sustain existing high-quality habitats and restore degraded areas to support the productivity of commercially and ecologically important estuarine species. The management plan also mandated a long-term monitoring program to evaluate progress toward estuarine resource improvement goals, building upon this foundational benthic habitat data.

The layers available within the data download include biotic, geoform, and substrate.

Partners: New York Department of State's Division of Coastal Resources

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, geoform, marine ecosystems, marinecadastre, national ocean service, new york, noaa, office of coastal management, seafloor, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Green Bay Benthic Habitat 2020

These data represent benthic habitats in a coastal area near Green Bay, Wisconsin. The area extends approximately 91 kilometers between Suamico, Wisconsin, and Menominee, Michigan, and covers approximately 64 square kilometers. Benthic biota and substrates were classified using the Coastal and Marine Ecological Classification Standard (CMECS).

The classification process involved object-based image segmentation of lidar bathymetry, cross-referencing geospatial data with the CMECS hierarchy, and expert interpretation. Biotic and substrate components were classified to the CMECS group or community level, with additional detail provided by co-occurring elements and modifiers. Mapping confidence was higher in areas with Digital Elevation Models (DEMs), as geomorphometric details from digital elevation models could often be directly linked to substrate types through professional geologic judgment. In areas lacking DEM coverage, object-based segmentation was not possible, leading to lower confidence and requiring manual interpretation of substrate and biotic data from available source and ancillary data. In some instances, with support from geologic judgment or imagery, CMECS Substrate Component classifications at DEM boundaries were linearly extrapolated across gaps in DEM coverage.

The layers available within the data download include biotic, confidence, and substrate.

Partners: Coastal States Organization

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, great lakes, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, seafloor, substrate, u.s. department of commerce, united states of america, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Benthic Habitat 2004

From 2006 to 2007, NOAA's Office for Coastal Management led the effort to process existing digital multispectral imagery (ADS-40) and generate digital benthic habitat data, primarily focusing on Submerged Aquatic Vegetation (SAV) for specific bays along the Texas coastal bend. The resulting data were intended to support the state's Seagrass Monitoring Program, which requires regional SAV mapping for status and trends assessment. The geographic extent of these data include Corpus Christi Bay, Redfish Bay, Aransas Bay, Copano Bay, Lower Laguna Madre, Upper Laguna Madre, and Baffin Bay, covering approximately 2,200 square miles. Benthic habitat data were generated for all estuarine lands below mean high water within the study area. No benthic data were produced for the marine side of the barrier island beaches.

The layers available within the data download include area, biotic, geoform, and substrate.

Partners: Texas Parks and Wildlife Department, Texas A&M University Center for Coastal Studies

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, geoform, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, seafloor, seagrass, substrate, texas, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Georgia Oyster Reef Habitat 2015

These data represent oyster reefs in Georgia's coastal waterways, extending from Chatham County south to Glynn County. A pilot project for certain coastal regions was completed in 2013, with the remaining project areas finished in 2015. This mapping project was conducted under contract to the Georgia Department of Natural Resources with the goal of inventorying oyster reefs in Georgia's coastal waterways.

Oyster reef extent polygons were created through heads-up digitization using 4-band, 6-inch resolution DMC digital aerial imagery as the source. This imagery was collected between November 2012 and February 2013. The minimum mapping unit is 5 square meters, though discretion was used to collect features smaller than this.

Partners: Georgia Department of Natural Resources

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, georgia, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, oyster, reef, seafloor, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Apalachicola Bay Benthic Habitat 2006

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), NOAA's Office for Coastal Management, and the Apalachicola National Estuarine Research Reserve. The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps that would better define the extent of oyster habitats and 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. The study focused on the Apalachicola Bay and western St. George Sound portions of the estuary, mostly in depths greater than 2 meters.

High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over 230 square kilometers of the bay. The interpretation of sidescan sonar imagery, bathymetry, available sediment sample information, and seafloor observations provided a detailed interpretation of the surficial geology of Apalachicola Bay and western portions of St. George Sound, Florida. The initial surficial geologic interpretations were translated by the Office for Coastal Management into the Florida System for Classifying Habitats in Estuarine and Marine Environments (SCHEME). No sediment classes were lost during this process.

The layers available within the data download include biotic, geoform, and substrate.

Partners: United States Geological Survey, Apalachicola National Estuarine Research Reserve

Tags: benthic, biosphere, biotic, coastal, doc/noaa/nos/ocm, earth science, ecosystems, florida, geoform, marine ecosystems, marinecadastre, national ocean service, noaa, office of coastal management, oyster, seafloor, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Washington DC Administrative Boundary

<div style='text-align:Left;'><div><div><p><span>The District of Columbia jurisdiction and administrative boundary. The boundary was identified from </span><a target='_blank' href='https://opendata.dc.gov/pages/public-lands' rel='nofollow ugc noopener noreferrer'><span><u>public land records</u></span></a><span> and digitized using a combination of sources including the 1995 orthophotographs, </span><a target='_blank' href='https://opendata.dc.gov/pages/dc-from-above' rel='nofollow ugc noopener noreferrer'><span><u>planimetric data</u></span></a><span> for roads features, U.S. Geological Survey Digital Raster Graphic quad sheets, and the 1999 planimetrics boundary for the Potomac River.</span></p><p><span>This DC boundary is used for the administration, planning, and management of Washington, D.C. by local DC government agencies, commissions and boards. Other administrative legal boundaries such as DC Wards, Advisory Neighborhood Commissions, and Single Member Districts are nested within the DC Administrative boundary.</span></p><ul><li><strong>Orthophotography</strong><span> - a computer-generated image of an aerial photograph in which displacements (distortions) caused by terrain relief and camera tilts have been removed. It combines the image characteristics of a photograph with the geometric qualities of a map. Unlike an aerial photograph, an orthoimage has a uniform scale, so it can be used as a base map onto which other map information is overlaid and created. These images, known as orthophotos or orthoimages, provide a consistent scale that enables accurate representation of the District of Columbia's surface. Source: </span><a target='_blank' href='https://www.usgs.gov/faqs/what-a-digital-orthophoto-quadrangle-doq-or-orthoimage' rel='nofollow ugc noopener noreferrer'><span><u>USGS.gov</u></span></a></li><li><strong>Planimetrics Data</strong><span> - information that represents the horizontal position of features on the Earth's surface, such as roads, buildings, and bodies of water, without including elevation or relief information. This data is often used in mapping and geographic analysis. Source: </span><a target='_blank' href='https://en.wikipedia.org/wiki/Planimetrics' rel='nofollow ugc noopener noreferrer'><span><u>wikipedia.org</u></span></a></li><li><strong>Digital Raster Graphic (DRG)</strong><span> - a scanned image of a U.S. Geological Survey (USGS) topographic map. The scanned image includes all map collar information. The image inside the map neatline is georeferenced to the surface of the Earth. The DRG can be used to collect, review, and revise other digital data. Source: </span><a target='_blank' href='https://usgs.gov/science/faqs' rel='nofollow ugc noopener noreferrer'><span><u>USGS.gov</u></span></a></li></ul><p>&nbsp;</p></div></div></div>

Tags: administrative-boundary, dc, district-of-columbia, jurisdiction-boundary, octo, survey-area, washington-dc
Organization: District of Columbia
U.S.-Mexico-Canada Trade Agreement Services Gravity Modeling Data

This data release accompanies USITC Publication 4889, U.S.-Mexico-Canada Trade Agreement: Likely Impact on the U.S. Economy and on Specific Industry Sectors, USITC investigation no. TPA 105-003. The data were used to perform the gravity analysis for the international data transfer and cross-border services analyses described in appendix H of the report.

Tags: u-s-mexico-canada-trade-agreement, usmca
Organization: US International Trade Commission
U.S.-Mexico-Canada Trade Agreement Investments Commitments Modeling Data

This data release accompanies USITC Publication 4889, U.S.-Mexico-Canada Trade Agreement: Likely Impact on the U.S. Economy and on Specific Industry Sectors, USITC investigation no. TPA 105-003. The data were used to perform the gravity analysis for the investment analyses described in appendix J of the report.

Tags: u-s-mexico-canada-trade-agreement, usmca
Organization: US International Trade Commission
U.S. Trade and Investment with Sub-Saharan Africa (SSA): Recent Trends and New Developments Dataset 2020

This data and accompanying companion file show the customs value of U.S. imports and U.S. exports with the sub-Saharan Africa (SSA). This dataset also includes customs value of U.S. imports under the African Growth and Opportunity Act, including Generalized System of Preferences ("US imports AGOA GSP").

Tags: africa, agoa, gsp, ssa, sub-saharan
Organization: US International Trade Commission