AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetry on the Rolling Fork and Beech Fork near Boston, Kentucky, April 4-5, 2017

These data are bathymetry (river bottom elevation) in XYZ format, generated from the April 4-5, 2017, bathymetric survey of the Rolling Fork and Beech Fork near Boston, Kentucky. The bathymetry was collected from approximately 1.9 miles upstream from Kentucky State Highway 62 on the Beech Fork and approximately 1.5 miles upstream from Kentucky State Highway 62 on the Rolling Fork, to 2.6 miles downstream from Kentucky State Highway 62 on the Rolling Fork. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 70 cross sections which were spaced approximately 500 feet apart along the river. Data collection software integrated and stored the depth and DGPS data from the ADCP. Real-time kinematic GPS was collected recording the water-surface elevation. Data processing required computer software to extract bathymetry data from the raw data files and to compile the information. The final csv file contains columns of Easting and Northing in meters WGS84 - UTM Zone 16N, and Elevation in feet NAVD88.

Tags: adcp, bathymetry, beech-fork, boston, kentucky, rolling-fork, sonar, sonar-methods, united-states, usgs-598c67c4e4b09fa1cb100de2, xyz
Organization: Department of the Interior
Ground motion models

A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey.  These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults.
This spreadsheet summarizes the ground motion models selected and weights applied for the ground-motion model for South America.

Tags: argentina, bolivia, brazil, chile, colombia, earthquake, ecuador, french-guiana, guyana, hazard, panama, paraguay, peru, risk, seismic, south-america, suriname, trinidad-and-tobago, uruguay, usgs-598cb3e4e4b09fa1cb109202, venezuela
Organization: Department of the Interior
Data release for the Understanding recurrent land use processes and long-term transitions in the dynamic south-central US, c. 1800 to 2006

The dataset was generated for the South Central Plains EPA level III ecoregion which extends through eastern Texas, northwestern Louisiana, southwest Arkansas, and
a small portion of southeastern Oklahoma covering approximately 15.2 ha.  Contained in the data set are land change causes that occurred between 2001 to 2006 such as forest harvest,
surficial mining, and cropland expansion.  Only those pixels (30-meter resolution) that have changed during the time period have their cause classified, otherwise no change is indicated
between 2001 and 2006.  In general, the process to create the data combined an automated and manual interpretation approach of spatial data to correctly identify land change causes.
In the approach, available spatial data were analyzed using an algorithm-based process of aggregation, validation, and attribution (AVA).  Data that could not be validated as to their
land change cause in the algorithm, were manually interpreted using historical imagery provided by Google Earth, Landsat satellite data, or high-resolution orthoimagery from National
Agricultural Imagery Program (NAIP).

Tags: eastern-texas, forest-change, land-change, land-change-causes, land-cover, land-cover-change, land-transformation, land-use, land-use-change, nlcd, northwest-louisiana, south-central-plains, south-central-united-states, south-central-us, southeastern-oklahoma, southwest-arkansas, usgs-598cde55e4b09fa1cb126254
Organization: Department of the Interior
Hakalau Forest National Wildlife Refuge Vegetation Map 2016

This data layer identifies the boundaries of the mapped plant communities for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands, island of Hawaii.

Tags: hakalau-forest-national-wildlife-refuge, hawaii, plant-communities, usgs-598cf704e4b09fa1cb12625c, vegetation
Organization: Department of the Interior
Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification

The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06)  project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, ba-02, coastal-conservation, coastal-enhancement, coastal-louisiana, coastal-restoration, cwppra, dem, doqq, gis, gulf-of-mexico, image, louisiana, monitoring, mosaic, rectification, satelite-imagery, scan, south-louisiana, usgs-598db448e4b09fa1cb13ef77, wetlands
Organization: Department of the Interior
Summary of stranded southern sea otters, 1985-2018

The southern sea otter (Enhydra lutris nereis), also known as California sea otter, was listed as threatened in 1977 under the Endangered Species Act. Since 1985, stranded otters from throughout their California coastal range have been collected and analyzed to inform resource management on recovery and conservation of the species. This data set is a complete 34 year compilation. Future annual stranding recovery information will be published when available. Stranded sea otters were collected by members of the sea otter stranding network (USGS, California Department of Fish and Wildlife (CDFW), Monterey Bay Aquarium (MBA), and the Marine Mammal Center (TMMC)) during routine beach walks and (more often) following reports by the general public and representatives of management agencies (e.g., California State Parks, Municipal Harbor Patrols, County Parks).  The intent is to document and recover all stranded southern sea otters; however, certain areas such as the Big Sur coastline are under-represented due to access and logistical constraints. All beach-cast sea otters (most of which are dead, but also live moribund animals that would have died without intervention) are examined and the date and geographic location of each recovered animal is recorded, as well as the sex, age class, general condition, and circumstantial cause(s) of death if evidence is apparent, e.g., boat-strike trauma, net entanglement, shark bite wounds.

Tags: ecology, environment, health, health-and-disease, marine-biology, marine-ecosystems, marine-nearshore, sea-otters, stranded-southern-sea-otters, usgs-598e1cf6e4b09fa1cb14e184
Organization: Department of the Interior
Unprocessed aerial imagery from 5 June 2018 coastal survey of Central California.

This is a set of 1533 oblique aerial photogrammetric images and their derivatives, collected from Big Sur with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-598fd349-7eae-4050-a8bc-ab36e79aa304, visible-light-imaging
Organization: Department of the Interior
Data Release for Toward ecosystem accounts for Rwanda: Tracking 25 years of change in ecosystem service potential and flows

Ecosystem accounts link national-scale environmental and economic trends, offering an internationally standardized approach to tracking sustainability. We compile ecosystem accounts for Rwanda over a 25-year period, and demonstrate that despite strong economic growth, social development, and high-level commitment to environmental goals, ecosystem services fundamental to Rwanda’s well-being have declined substantially during this period. Conversion of forests and other natural ecosystems to cropland are the primary drivers of these trends. Ecosystem accounts are particularly important for tracking sustainability in African nations with high levels of economic and population growth and rapid environmental change. These accounts can build our understanding of trends in nature’s ability to provide critical benefits that underpin human well-being.

Tags: biophysical, burundi, carbon-storage, ecosystem-service, local-recharge, quickflow, rwanda, sediment-export, sediment-retention, usgs-59c3e5e4e4b091459a6353c5, water-yield
Organization: Department of the Interior
Site G06 Gasconade River Bathymetry at Structure A5215 on Missouri State Route D at Jerome, Missouri, June 2017

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 8, 2017, hydrographic survey of the Gasconade River near structure A5215 on Missouri State Route D at Jerome, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam scanning echosounder system (MSES), which consists of a multibeam profile echosounder and high-precision pan-tilt base unit mounted on a tripod.  Data were collected as the MSES unit rotated about various tripod setups distributed throughout the reach.  Data collection software integrated and stored the range and angular measurements from the MSES.  Data processing utilized computer software to process the raw data, align the various scans in reference to one another, approximately georectify the overall scanned area using recognizable features evident throughout the reach, and extract the bathymetry data in a useable format.

Tags: ascii, bathymetry, elevation, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, jerome, location, missouri, mo, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-59c30188e4b091459a61d5fb, water-depth, xyz
Organization: Department of the Interior
Site G05 Gasconade River Bathymetry at Structure A3760 on U.S. Highway 63 near Vienna, Missouri, June 2017 (ver 2.0, May 2019)

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 6, 2017, hydrographic survey of the Gasconade River near structure A3760 on U.S. Highway 63 near Vienna, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
First posted October 3, 2017
Revised May 15, 2019, ver. 2.0

Tags: ascii, bathymetry, elevation, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, mo, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-59c2f71ce4b091459a61d5d3, vienna, water-depth, xyz
Organization: Department of the Interior
Site G04 Gasconade River Bathymetry at Structure A2550 on Missouri State Highway 42 near Vienna, Missouri, June 2017 (ver 2.0, May 2019)

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 6, 2017, hydrographic survey of the Gasconade River near structure A2550 on Missouri State Highway 42 near Vienna, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
First posted October 3, 2017
Revised May 15, 2019, ver. 2.0

Tags: ascii, bathymetry, elevation, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, mo, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-59c2f616e4b091459a61d5d1, vienna, water-depth, xyz
Organization: Department of the Interior
Site G03 Gasconade River Bathymetry at Structure A1411 on Missouri State Highway 89 near Rich Fountain, Missouri, June 2017 (ver 2.0, May 2019)

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 5, 2017, hydrographic survey of the Gasconade River near structure A1411 on Missouri State Highway 89 near Rich Fountain, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
First posted October 3, 2017
Revised May 15, 2019, ver. 2.0

Tags: ascii, bathymetry, elevation, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, mo, multibeam, oceans, rich-fountain, structure, u-s-geological-survey, usa, usgs, usgs-59c2f555e4b091459a61d5cf, water-depth, xyz
Organization: Department of the Interior
Riparian-Zone Boundaries for the U.S. Geological Survey Southeast Stream Quality Assessment

In 2015, the second of several Regional Stream Quality Assessments (RSQA) was done in the southeastern United States. The Southeast Stream Quality Assessment (SESQA) was a study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA, and thus the SESQA, is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Van Metre and Journey, 2014). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 115 water-chemistry sites sampled for the SESQA, and is one of the four fundamental geospatial data layers that were developed for the Southeast study.

Tags: alabama, ecological-reach, geographic-information-systems, georgia, geospatial-analysis, geospatial-datasets, inlandwaters, national-water-quality-assessment, north-carolina, regional-stream-quality-assessment, riparian-reach, riparian-zone, rsqa, sesqa, south-carolina, southeast-stream-quality-assessment, tennessee, usgs-598a0383e4b09fa1cb0cc920, virginia
Organization: Department of the Interior
Site G02 Gasconade River Bathymetry at Structure A3878 on U.S. Highway 50 at Mount Sterling, Missouri, June 2017 (ver 2.0, May 2019)

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 2, 2017, hydrographic survey of the Gasconade River near structure A3787 on U.S. Highway 50 at Mount Sterling, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
First posted October 3, 2017
Revised May 15, 2019, ver. 2.0

Tags: ascii, bathymetry, elevation, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, mo, mount-sterling, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-59c2f49be4b091459a61d5cc, water-depth, xyz
Organization: Department of the Interior
Site G01 Gasconade River Bathymetry at Structure A4735 on Missouri State Highway 100 at Gasconade, Missouri, June 2017 (ver 2.0, May 2019)

These data are high-resolution bathymetry (riverbed elevation) in ASCII XYZ format, generated from the June 1, 2017, hydrographic survey of the Gasconade River near structure A4735 on Missouri State Highway 100 at Gasconade, Missouri, to help identify possible effects from extreme flooding on May 1-2, 2017.  Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel.  Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach.  Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time.  Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
First posted October 3, 2017
Revised May 15, 2019, ver. 2.0

Tags: ascii, bathymetry, elevation, gasconade, gasconade-river, geology, geoscientificinformation, imagerybasemapsearthcover, inland-waters, inlandwaters, location, missouri, mo, multibeam, oceans, structure, u-s-geological-survey, usa, usgs, usgs-59c2f0cce4b091459a61d5c6, water-depth, xyz
Organization: Department of the Interior
Shapefiles of the flood-inundation maps for the Meramec River at Valley Park, Missouri, 2017

Digital flood-inundation maps for a 9.1-mile reach of the Meramec River near Valley Park, Missouri, were created by the U.S. Geological Survey (USGS)  in cooperation with the US Army Corps of Engineers, St. Louis Metropolitan Sewer District, Missouri Department of Transportation, Missouri American Water, and Federal Emergency Management Agency Region 7.  The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Meramec River at Valley Park, Missouri (station number 07019130).  Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site. 
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model.  The model was calibrated using the current stage-discharge relation at the Meramec River near Eureka streamgage and documented high-water marks from the floods of December 30, 2015. 
The hydraulic model was then used to compute 43 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 11 ft or near bankfull to 54 ft, which exceeds the stage that corresponds to the maximum recorded peak flow. 
The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging (lidar) data having a 0.5-ft vertical accuracy and 3.28-ft horizontal resolution) to delineate the area flooded at each water level. 
The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.

Tags: eureka, fenton, flood, flood-inundation-maps, flooded-area, geospatial-analysis, high-water-marks, meramec-river, missouri, river-stream, usgs-59c2e6d3e4b091459a61d510, valley-park
Organization: Department of the Interior