AndreaBozzo/ceres-open-data-index huggingface dataset:
Long-term and short-term shoreline change rates for the region of Buzzards Bay, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (like a High Water Line shoreline) and a datum shoreline (like a Mean High Water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have "LT"; in their names, files associated with short-term rates have "ST"; in their names.

Tags: accretion, atlantic-coast, baseline, buzzards-bay, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, new-england, oceans, shoreline, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-61081adfd34ef8d70565b9dd, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for coastal region of Buzzards Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline from lidar data extracted in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (the high water Line shoreline) and a datum shoreline (the mean high water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have "ST” in their names.

Tags: atlantic-coast, buzzards-bay, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersects, massachusetts, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-61081a9bd34ef8d70565b9da, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Colorado River at Compact Point near Lees Ferry, AZ - 2021/03/18 Water Surface Velocity Map Using Particle Image Velocimetry

The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Compact Point near Lees Ferry, AZ, on March 18, 2021. The dataset contains approximately 1.2 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Total time to capture all videos was less than one hour, and all frames (except frame 1, see Process Steps below) from all videos were used. Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and are included in the dataset.

Tags: colorado-river, compact-point, lees-ferry-az, remote-sensing, suas, usgs-610815f7d34ef8d70565b9bd, velocity
Organization: Department of the Interior
Baseline for the coastal region of Buzzards Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast by compiling a database of historical (mid 1800's-1989) shoreline positions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service (NOAA), Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline from lidar data extracted in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (the High Water Line shoreline) and a datum shoreline (the Mean High Water shoreline). This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have "ST” in their names.

Tags: atlantic-coast, baseline, buzzards-bay, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, massachusetts, new-england, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-610815a8d34ef8d70565b9b3, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for the coastal region around Boston, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline from lidar data extracted in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (the high water Line shoreline) and a datum shoreline (the mean high water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have "ST” in their names.

Tags: atlantic-coast, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersects, massachusetts, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-61081421d34ef8d70565b1a5, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
LCMAP Preliminary Duplicate Attributes Collection for CONUS Reference Data 1984-2016 land cover and land use attributes

This preliminary product contains annual land cover, land use, and change process variables for reference data plots in a .csv table.  The same information available in the.csv file is also provided in a .xlsx format. 
The LCMAP Preliminary Duplicate Attributes Collection for Reference Data includes the attributes collected from 30-meter by 30-meter plots across the conterminous United States (CONUS) that were randomly selected during data collection to have 2 independent interpretations. These duplicate interpretations were utilized in the quality assurance and quality control processes for the creation of the final, authoritative LCMAP Reference Data Product.  These attributes were collected via manual image interpretation. The interpretations collected variables related to primary and secondary land use, primary and secondary land cover(s), change processes, and other ancillary variables annually across CONUS from 1984-2016.  The duplicate interpretations were utilized to identify classes and situations that could require additional interpreter training, further quality review, and/or correct identified errors in the preparation of the final dataset.  The data in this dataset is considered interim/provisional in nature.  The LCMAP Preliminary Duplicate Attributes Collection for Reference Data provides the interpretation attributes for a subset of the 25,000 plots that were utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products.

Tags: environment, image-analysis, land-change-monitoring-assessment-and-projection, land-use-and-land-cover, land-use-change, landsat, lcmap, location, time-series-datasets, usgs-6107eaa8d34ef8d70565b103
Organization: Department of the Interior
S2210MB_video_observations

This part of DS 781 presents video observations from cruise S2210MB in northern California. The vector data file is included in "s2210mb_video_observations.zip," which is accessible from http://pubs.usgs.gov/ds/781/video_observations/data_catalog_video_observations.html.
Video observations from cruise  S2210MB will be published in 24 future Scientific Investigations Maps in the California State Waters Map Series (namely, Offshore of Pigeon Point, Offshore of Scott Creek, Offshore of Santa Cruz, Offshore of Aptos, Monterey Canyon and Vicinity, Offshore of Seaside, Offshore Point Lobos, Offshore of Point Sur map areas).
In 2006 and 2009, the seafloor in the Offshore of Pigeon Point, Offshore of Scott Creek, Offshore of Santa Cruz, Offshore of Aptos, Monterey Canyon and Vicinity, Offshore of Seaside, Offshore Point Lobos, Offshore of Point Sur in central California was mapped by California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB) and by the U.S. Geological Survey (USGS), using both multibeam echosounders and bathymetric sidescan sonar units. These mapping missions combined to collect bathymetry and acoustic-backscatter data from about the 10-m isobath to out beyond the 3-nautical-mile limit of California's State Waters. To validate the interpretations of sonar data in order to turn it into geologically and biologically useful information, the USGS ground-truth surveyed the data by towing camera sleds over specific locations throughout the region. During the 2012 ground-truth cruise, the camera sled housed two video cameras (one forward looking and the other vertical looking), a high-definition video camera, and an 8-megapixel digital still camera. The video was fed in real time to the research vessel, where USGS and NOAA scientists recorded both the geologic and biologic character of the seafloor into programmable keypads once every minute. In addition to recording the seafloor characteristics, a digital still photograph was captured once every 30 seconds. This ArcGIS shape file includes the position of the camera, the time each observation was started, and the visual observations of geologic and biologic habitat.

Tags: aptos, benthic-habitat, biota, cmgp, coastal-and-marine-geology-program, continental-island-shelf, earth-science-gt-biosphere-gt-aquatic-ecosystems-gt-marine-habitat, ecosystem, fisheries, geoscientificinformation, marine-nearshore-subtidal, marine-offshore-subtidal, monterey-canyon, north-pacific-ocean, northern-california, northern-california-ecoregion, oceans, photographic-sampling, pigeon-point, point-lobos, point-sur, rock-substrate, santa-cruz, scott-creek, sea-floor-characteristics, seabed, seaside, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, underwater-photography, usgs, usgs-6104aef3-d23a-41d3-b6a9-a2fd8a8c8ab4, video-observation, video-sled-observations, videos
Organization: Department of the Interior
Vegetation Composition and Management Action Data (2015-2020) from Experimental Plots at Badlands National Park, Wind Cave National Park, and Scotts Bluff National Monument Used to Develop the ABAM Model

Plant species cover and richness data were collected in experimental plots at three sites: one at Badlands National Park (BADL), South Dakota, one at Scotts Bluff National Monument (SCBL), Nebraska, and one at Wind Cave National Park (WICA), South Dakota. At the Badlands and Scotts Bluff sites, data were collected in the summers of 2015 and 2017-2020 in 50 x 50-m plots with one of five treatments: unburned for the entire time of data collection, burned only in fall 2016, burned only in fall 2018, burned in both fall 2016 and fall 2018, or burned  then treated with the herbicide imazapic in fall 2016. At the Wind Cave site, data were collected in the summers of 2017-2020 in 10 x 10-m plots in which the herbicide indaziflam was applied either in fall 2017 or spring 2018, with or without previous removal of standing vegetation (mowing and raking). Data were collected using a point-intercept method. At the Badlands and Scotts Bluff sites, this method used 100 points per plot; at the Wind Cave site, this method used 64 points per plot. Species-level data were used to calculate attributes (relative percent cover, diversity) used in the Annual Brome Adaptive Management (ABAM) model. This model is described in the parent publication.

Tags: adaptive-management, badlands-national-park, biodiversity, biota, grassland-ecosystems, invasive-species, native-species, nebraska, plants-organisms, scotts-bluff-national-monument, south-dakota, usgs-61044863d34ef8d705604825, vegetation, wind-cave-national-park
Organization: Department of the Interior
Groundwater levels and field-determined groundwater-quality characteristics from the Great Miami buried-valley aquifer, Southwestern Ohio, 1999, 2000, 2019, and 2020

The U.S. Geological Survey (USGS), in cooperation with the Miami Conservancy District, Dayton, Ohio, in 2019 and 2020 investigated the concentrations of per- and polyfluoroalkyl substances (PFAS) and related water chemistry in groundwater from the Great Miami buried-valley aquifer (GM-BVA) of southwestern Ohio. Data in this release include groundwater parameters, including groundwater level, temperature, pH, dissolved oxygen, turbidity, and specific conductance, collected during the 2019-2020 water sampling and comparison data from prior, 1999-2000 sampling of the same wells. The 23 wells used for sampling were identified and sampled previously by the USGS National Water-Quality Assessment Program, starting in 1999, to assess the occurrence of a variety of inorganic and organic contaminants in the GM-BVA. Sampled wells were from parts of the GM-BVA in Butler, Champaign, Clark, Greene, Hamilton, Miami, Montgomery, Shelby and Warren counties in the Great Miami River, Little Miami River, and Whitewater River Basins.

Tags: butler-county, champaign-county, clark-county, great-miami-river, greene-county, groundwater-quality, hamilton-county, hydrogeology, little-miami-river, miami-county, montgomery-county, shelby-county, state-of-ohio, united-states-of-america, usgs-6102eb24d34ef8d7055eb3e4, warren-county, water-sampling, whitewater-river
Organization: Department of the Interior
2018 mean high water shoreline of the coast of MA used in shoreline change analysis

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast by compiling a database of historical (mid 1800's-1989) shoreline positions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In the 2013 update, two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In the 2018 update, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset.
This 2021 update includes one new shoreline extracted from lidar data collected in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). This new shoreline was extracted for the North Shore, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and a small portion Buzzard’s Bay. 2018 Lidar data was not available for Boston or the Elizabeth Islands region. This new shoreline was extracted from the lidar survey using either a profile method or contour method, depending on the location of the shoreline. This data release also includes a compilation of previously published historical shoreline positions spanning 170 years (1844 to 2014), intended to be used as an authoritative shoreline database for the state. This data is an update to the Massachusetts Office of Coastal Zone Management Shoreline Change Project.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-6102e0aad34ef8d7055eb3bf, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Wave thrust values at point locations along the shorelines of Chesapeake Bay, Maryland and Virginia

This product provides spatial variations in wave thrust along shorelines in the Chesapeake Bay. Natural features of relevance along the Bay coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves. This product uses a consistent methodology with sufficient spatial resolution to include the distinct features of each marsh system. Waves under different climatological wind forcing conditions were simulated using the coupled ADCIRC/SWAN model system. The estuarine and bay areas are resolved with horizontal resolutions of order hundreds of meters. The simulations provide the wave height, period, and direction needed to calculate wave thrust. We consider the frequency of occurrence of each wind magnitude and direction bin for each location to reconstruct a weighted-average wave thrust that considers coastal orientation with regard to dominant wave direction. The resulting wave thrust is then mapped along the shoreline of Chesapeake Bay to generate the present product.

Tags: biota, chesapeake-bay, coastal-processes, conowingo-dam-on-susquehanna-river, maryland, mathematical-modeling, ocean-waves, salt-marsh, shoreline, summit-bridge-on-chesapeake-delaware-canal, united-states-of-america, usgs-61029353d34ef8d7055e38a4, virginia, vulnerability, wave-attack, wave-thrust, wetland-ecosystems, wetland-functions
Organization: Department of the Interior