AndreaBozzo/ceres-open-data-index huggingface dataset:
2010 Northern San Francisco Bay Area Lidar: Portions of Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and Sonoma Counties

This Light Detection and Ranging (LiDAR) dataset is a survey of northern San Francisco Bay, California. The project area consists of
approximately 437 square miles in portions of seven California counties: Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and
Sonoma. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc.
acquired 147 flight lines in nine lifts on February 25, 26, and 28; March 1, 24, and 26; and April 3, 15, and 16, 2010. The data was
divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin
engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is
remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of northern San Francisco Bay,
California, is classified according to the ASPRS classification scheme and was collected at sufficient resolution to provide a nominal
point spacing of 1 m for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value.

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

Tags: bathymetry/seafloor topography, california, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, surface, terrain, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2002 Benthic Grab Data for Catlett and Goodwin Islands on the York River in Chesapeake Bay, Virginia (Ches_2002benthos)

This data set represents the benthic community information gathered from grab sampling in 2002 (56 stations).In Fall/Winter 2002, researchers from the Virginia Institute of Marine Science (VIMS) and the NOAA Office for Coastal Management conducted a project to map benthic habitats by Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia.  Sediment grab samples were collected at 56 stations and sediment profile images were collected at 200 stations.  Sampling areas were also surveyed using side scan sonar and multibeam bathymetry sensors.  Scientists from the Virginia Institute of Marine Sciences returned to sample a subset of the 2002 sediment grab data in 2003 and then again in 2004.  A subset of SPI stations (79) were revisited in 2004.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: 2002, amphipoda, amphipods, benthic, benthos, biosphere, bivalves, bivalvia, catlett island, chesapeake bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, gastropoda, gastropods, geographic information systems, gis, goodwin island, infauna, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, oligochaeta, oligochaetes, phoronidae, phoronids, polychaeta, polychaetes, sediment, sediment grab, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Managing Freshwater for the Future in Florida - NERRS/NSC(NERRS Science Collaborative)

One of the few pristine, mangrove-forested estuaries in the country, Floridaâs Rookery Bay Estuary is a critical breeding ground for the fisheries that underpin the regionâs economy. Balancing the freshwater needs of the estuary with those of local communities is increasingly challenging as population growth and sea level rise tax freshwater resources. Decision-makers need information about freshwater requirements of the estuary and the perspectives of water users to effectively manage water resources.

Tags: biosphere, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, fl, freshwater, mangrove, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, rookery bay, salinity, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Grab Data for September 2001 in Wells, Maine (benthos)

In fall 2001, researchers from the Wells National Estuarine Research Reserve, Virginia Institute of Marine Science, and the NOAA Office for Coastal Management conducted a project to map benthic habitats in the York and Webhannet rivers in southern Maine.  The team completed two weeks of fieldwork in September 2001, collecting sediment profile images at 382 stations and sediment grab samples at 93 stations.  This data set represents the benthic community information gathered from grab sampling.
Original contact information: 
   Contact Name: Dr. Michele Dionne
   Contact Org: Wells National Estuarine Research Reserve
   Phone: (207) 646-1555

Tags: benthic, benthic grab, benthos, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, u.s. department of commerce, united states of america, webhannet river, wells, york, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2005 Oahu/Maui Lidar Mapping Project

LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a
combination of laser rangefinding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make
highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data was
collected over a portion of Maui and Oahu, Hawaii with a Leica ALS-40 Aerial Lidar Sensor.  Multiple returns were recorded for
each pulse in addition to an intensity value.

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

Tags: bathymetry/seafloor topography, bathymetry/topography, central pacific ocean, coastal elevation, coastal processes, continent, dem, digital elevation model, digital terrain model, doc/noaa/nos/ocm, dtm, earth science, elevation and derived products, elevation model, hawaii, hawaiian islands, honolulu, land surface, lidar, lidar point cloud, maui, national ocean service, noaa, north america, oahu, ocean, oceans, office of coastal management, pacific ocean, seafloor topography, surface model, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: District of Columbia

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 District of Columbia 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.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 USGS Hurricane Sandy Supplemental for National Capital Region (NCR)
      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) 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: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), district of columbia, doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, 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, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 Ketchikan, AK DMC 4-Band 8 Bit Imagery

Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for sensor distortions and orientation, and terrain relief. Digital orthoimages have the geometric characteristics of a map, and image qualities of a photograph. (Source: Circular A-16, p. 16)

Tags: 6 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, fema, fema nfip topic category, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Molokai

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 Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the Island of Molokai 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 4, GRS80, NAD83.

Tags: agriculture, central pacific ocean, coastal zone, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, hawaii, hawaiian islands, hoolehua, kalaupapa, kaunakakai, land surface, maunaloa, molokai, national ocean service, noaa, north america, ocean, office of coastal management, opennspect, pacific ocean, 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
Commercial Vessel Density October 2009-2010 AIS UTM 10S

These data were generated to provide insight into marine traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States, this data set is for the UTM Zone 10S.  For this dataset a transit is counted for every unique vessel intersecting a 1 kilometer square grid cell each day. This data represents the total number of vessel transits from October 2009 - October 2010. Some grid cells were unable to be processed, but this does not interfere with the integrity of this dataset. 

Please note multiple connection errors occurred during the time frame of this study. In most cases data gaps were filled by making subsequent request to the coastguard or other groups receiving the same data feed. However, due to resource constraints uninterrupted coverage was not obtained. Overall data outages were minimal on the order less than a day per month and because random and affect all areas uniformly do not has a significant effect on the integrity of the data. Also as stated on the USCG NAIS website AIS data is not representative of all vessel traffic and USCG NAIS receivers do not fully cover the entire extent of this study area. Please take time to understand both of these limitations.

Tags: ais, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, national ocean service, noaa, north america, office of coastal management, ship counts, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Orthophotography for the Coasts of New York and New Jersey

Project: NOAA Digital Orthophotography for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ
Contract No. EA133C11CQ0010
Reference No. NCNP0000-14-00967
Woolpert Order No. 74571
CONTRACTOR: Woolpert, Inc.
The project represents the collection of digital orthoimagery for the coasts of Maine and New Hampshire; Massachusetts and Rhode Island; Connecticut, the Hudson River, Long Island and the NY/NJ metro area. The work was requested by the National Oceanic and Atmospheric Administration, Office of Response and Restoration division. The imagery is being acquired for use in the development of the ESI (Environmental Sensitivity Index) data in this same region. The entire project area includes approximately 11,669 square miles.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA)
   Phone: 843-740-1200

Tags: aerial, airplane, cameras, coastal, connecticut, continent, digital orthophotography, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, maine, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, office of coastal management, orthophoto, photograph, rectified image, rhode island, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Commonwealth of the Northern Mariana Islands (CNMI), Saipan 1945-2005-Era Land Cover Change Analysis

This data set contains the 1945-era and 2005-era classifications of
Saipan, Commonwealth of the Northern Mariana Islands and can be used to analyze change.
This data set utilized Scanned Black and White Aerial Photography and Quickbird scenes
which were analyzed according to the Coastal Change Analysis Program (C-CAP)
protocol to determine land cover.

Tags: airplane, c-cap, cameras, 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, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, saipan, u.s. department of commerce, us territory, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI),  Farallon de Pajaros, 2004

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 single Quickbird multispectral scene which was processed to detect C-CAP land cover features on the island of Farallon de Pajaros.

Tags: airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, farallon de pajaros, 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
Bringing Wetlands to Market: Expanding Blue Carbon Implementation - NERRS/NSC(NERRS Science Collaborative)

Blue carbon storage â carbon sequestration in coastal wetlands â can help coastal managers and policymakers achieve broader wetlands management, restoration, and conservation goals, in part by securing payment for carbon credits. Despite considerable interest in bringing wetland restoration projects to market, the transaction costs related to quantifying greenhouse gas fluxes and carbon storage in restored marsh has been a significant limiting factor to realizing these projects. The Waquoit Bay National Estuarine Research Reserve has been at the forefront of blue carbon research and end user engagement. Building on the efforts of a previous project, Bringing Wetlands to Market in Massachusetts, this project developed a verified and generalized model that can be used across New England and the mid-Atlantic East Coast to assess and predict greenhouse gas fluxes and potential wetland carbon across a wide
environmental gradient using a small set of readily available data. Using this model, the project conducted a first-of-its-kind market feasibility assessment for the Herring River Restoration Project, one of the largest potential wetland restoration projects in New England. The project team developed targeted tools and education programs for coastal managers, decision makers, and teachers. These efforts have built an understanding of blue carbon and the capacity to integrate blue carbon considerations into restoration and management decisions.

Tags: aquatic ecosystems, biosphere, blue carbon, carbon sequestration, coastal, coastal wetlands, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, estuarine wetlands, human dimensions, land surface, landscape, ma, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, reclamation/revegetation/restoration, u.s. department of commerce, waquoit bay nerr, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Honolulu Weather Forecast Office (HFO WFO) - Lanai

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 (SLR) 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: http://www.coast.noaa.gov/slr  This metadata record describes the Honolulu Weather Forecast Office (HFO WFO) 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. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications for the Honolulu WFO, which includes the following islands in Hawaii: Kauai, Oahu, Molokai, Maui, Lanai, and Hawaii.  The DEM is derived from multiple sources. 1. 2006 Hawaii FEMA Lidar - acquired by FEMA along south shores of islands 2. 2006 DBEDT Lidar: Lanai - acquired by the State of Hawaii Office of Planning  Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The final DEM is hydro flattened such that water elevations are less than or equal to -0.5 meters.  The DEM is referenced vertically to the Local Mean Sea Level (LMSL) tidal datum with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is 3 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, hawaii, inundation, lanai, land surface, lidar, maui county, 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, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018 Fond du Lac, MN Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (manoomin) plays an integral role in the ecosystems, culture, and economy of the Lake Superior region and it faces an existential threat from invasive species which compete for the same habitat and a variety of other factors. Six Areas of Interest (AOI) were identified as pilot sites and selected as the target AOI for this project.

AOI/Pilot Sites
1. Crooked Lake, Sucker Lake, and the Ontonagon River (CSO)
2. Eastern Upper Peninsula (EUP)*
3. Fond du Lac (FDL)
4. Kakagon Sloughs and Bad River (KSBR)
5. St. Louis River Estuary (SLRE)
6. Upper St. Louis River (USLR)

*To request imagery, please contact NOAA Office for Coastal Management (NOAA/OCM) at coastal.info@noaa.gov.

Tags: airplane, cameras, color infrared, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, hyperspectral, imagery, infrared imagery, infrared wavelengths, minnesota, mn, national ocean service, natural color, noaa, north america, office of coastal management, orthoimage, rectified image, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce