AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital Surface Model (DSM) derived from historical aerial imagery of the South Cow Mountain Recreational Area, Lake County, California, May 27, 1977

The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products using historic aerial imagery and Structure from Motion (SfM) photogrammetry methods.  A high-resolution orthomosaic of the South Cow Mountain Recreational Area was generated from stereo historical aerial imagery acquired in by the BLM in May of1977. The aerial imagery were downloaded from the USGS Earth Resources Observation and Science (EROS) Data Center's USGS Single Aerial Frame Photo archive and an orthomosaic was created using USGS guidelines. 
Photo alignment, error reduction, and dense point cloud generation followed guidelines documented in Over, J.R., Ritchie, A.C., Kranenburg, C.J., Brown, J.A., Buscombe, D., Noble, T., Sherwood, C.R., Warrick, J.A., and Wernette, P.A., 2021, Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6— Structure from motion workflow documentation: U.S. Geological Survey Open-File Report 2021–1039, 46 p., https://doi.org/10.3133/ofr20211039. 
Photo-identifiable points, selected as synthetic ground-control points, followed guidelines documented in Sherwood, C.R.; Warrick, J.A.; Hill, A.D.; Ritchie, A.C.; Andrews, B.D., and Plant, N.G., 2018. Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry https://doi.org/10.2112/JCOASTRES-D-18-00016.1
Additional post-processing of the 1977 dense point cloud, using Iterative Closest Point (ICP) analysis, was used to improve the alignment with the 2015 LiDAR point cloud. The ICP analysis is explained in Low, K.L., 2004. Linear least-squares optimization for point-to-plane ICP surface registration. Chapel Hill, University of North Carolina, 4(10), pp.1-3. http://www.comp.nus.edu.sg/~lowkl/publications/lowk_point-to-plane_icp_techrep.pdf 
Data were processed using photogrammetry to generate a three-dimensional point cloud that identifies pixels of an object from multiple images taken from various angles and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the study area (57.3 cm resolution). Finally, source images were stitched together based on shared pixels and orthogonally adjusted to the digital surface model to create a high resolution (approximately  18.3 cm) orthoimage for the study area.

Tags: aerial-photography, california, digital-elevation-models, elevation, geoscientificinformation, imagerybasemapsearthcover, lake-county, raster, remote-sensing, scotts-creek, south-cow-mountain, structure-from-motion, usgs-63323ef9d34e900e86c5bd00
Organization: Department of the Interior
Hourly wind speed in miles per hour and associated three-digit data-source flag, January 1, 1948 - September 30, 2018

The text file "Wind speed.txt" contains hourly wind speed data in miles per hour and associated data source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN17.WDM (Bera and Over, 2018) and renamed as ARGN18.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The hourly wind speed data from the Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2018) station at St. Charles, Illinois, and the National Weather Service station at O'Hare International Airport were used as "backup". Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2018) provided the data collected by National Weather Service from the station at O'Hare International Airport. Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010).
References Cited:
Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/.     
Bera, M., and Over, T.M., 2018, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2017: U.S. Geological Survey data release, ​https://doi.org/10.5066/F7H1318R.
Midwestern Regional Climate Center, 2018, Meteorological data, accessed on October 12, 2018, at https://mrcc.illinois.edu/CLIMATE/.  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.
Water and Atmospheric Resources Monitoring Program. Illinois Climate Network, 2018. Illinois State Water Survey, 2204 Griffith Drive, Champaign, IL 61820-7495. Data accessed on October 30, 2018, at http://dx.doi.org/10.13012/J8MW2F2Q

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-5bcf4ccde4b0b3fc5cde14a1, wind-speed
Organization: Department of the Interior
Hurricane Harvey Assessment of Potential Coastal Change Impacts: NHC Advisory 020, 700 AM CDT FRI AUG 25 2017

This dataset defines storm-induced coastal erosion hazards for the Texas and Louisiana coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Hurricane Harvey in August 2017. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of the three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset.

Tags: bathymetry-and-elevation, cmgp, coastal, coastal-and-marine-geology-program, coastal-processes, distributions, effects-of-coastal-change, elevation, environment, erosion, geoscientificinformation, hazards, hurricane-harvey, hurricanes-and-typhoons, louisiana, marine-geology, ocean-sciences, oceans, physical-habitats-and-geomorphology, shoreline-accretion, shoreline-erosion, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-erosion, texas, topographic-mapping, u-s-geological-survey, united-states-of-america, usgs, usgs-1732ca4d-72de-4c95-8a03-6a10359b6131
Organization: Department of the Interior
Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques

This dataset includes depth and position measurements to estimate the cross-sectional geometry at sites in small streams throughout the United States.

Tags: field-inventory-and-monitoring, inlandwaters, stream-discharge, surface-water-non-marine, usgs-60c8c2cfd34e86b9389dc5b3, water-resources
Organization: Department of the Interior
Wind rose plots for the volcano: 343060  Ilopango

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d016dae4b0236b68f53139, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Gamma-ray bulk density measurements of vibracore JRBP2018-VC01B from Searsville Lake, Jasper Ridge Biological Preserve, Stanford, California

This portion of the data release presents gamma-ray bulk density measurements of vibracore JRBP2018-VC01B collected from Searsville Lake, Jasper Ridge Biological Preserve, Stanford, California in October 2018 (USGS Field Activity 2018-682-FA). The gamma-ray bulk density data are provided in a comma-delimited file (.csv).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, geochemistry, geoscientificinformation, inlandwaters, jasper-ridge, limnology, pacific-coastal-and-marine-science-center, pcmsc, san-mateo-county, searsville-lake, sediment, stanford, state-of-california, substrate, u-s-geological-survey, usgs, usgs-63912297d34e0de3a1ef8377
Organization: Department of the Interior
Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11997 Offshore in Eastern Long Island Sound (H11997_2MMB_UTM18.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities in Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. During October 2008 NOAA completed hydrographic survey H11997 offshore in eastern Long Island Sound, and during May 2010 bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Two interpretive data layers were derived from the multibeam echo-sounder and the ground-truth data used to verify them. For more information on the ground-truth survey see http://quashnet.er.usgs.gov/data/2010/10015/

Tags: atlantic-ocean, bathymetry, cmgp, coastal-and-marine-geology-program, computational-methods, connecticut, connecticut-department-of-environmental-protection, ct-dep, elevation, geospatial-datasets, geotiff, h11997, hill-shaded, imagerybasemapsearthcover, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-ship-thomas-jefferson, noaa-survey-h11997, north-america, oceans, ofr-2010-1150, open-file-report-2010-1150, reson-7125, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-3fc660c9-2a8a-4015-a9c3-40195c2ce0f3, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
In-stream and laboratory fDOM data from wildfire affected streams of the western United States, 2021-22

After wildfires occurred in the western United States during 2020, in-stream water quality monitors and automatic samplers were deployed in four burned watersheds and one unburned watershed. In-stream water temperature, turbidity, and fluorescent dissolved organic matter (fDOM) were measured at high frequency, and the fDOM data were corrected for temperature and turbidity effects. Automatic samplers were triggered during storm events, which captured turbid conditions in the wildfire affected streams. Laboratory experiments with storm event samples informed site-specific turbidity correction coefficients for fDOM data. An iterative solver approach also was developed to verify turbidity correction coefficients. This data release contains laboratory experiment data, as well as in-stream water temperature, turbidity, uncorrected fDOM, temperature-corrected fDOM, and temperature- and turbidity-corrected fDOM data. An example of the iterative solver code is also provided.

Tags: arroyo-hondo, carbon, east-inlet, environment, fires, little-north-santiam-river, north-inlet, shields-river, usgs-668eaaa2d34e537145a7852a, water-quality
Organization: Department of the Interior
Wind rose plots for the volcano: 283151  Numazawa

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d0137de4b0236b68f52ce6, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Well data from the Oneonta area, Otsego and Delaware Counties, New York

This child item dataset contains a shapefile of well and test boring records in the Oneonta, NY area.

Tags: colliersville, delaware-county, emmons, goodyear-lake, hydrogeology, laurens, milford-center, new-york, oneonta, otsego-county, portlandville, surficial-geology, united-states, usgs-5f176a5182cef313ed841afa, west-davenport, west-oneonta, wilbur-lake
Organization: Department of the Interior
Airborne geophysical survey: Chama, Colorado

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, chama, co, colorado, f08007-archuleta, f08021-conejos, f35039-rio-arriba, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, total-field, united-states, usgs-6841ecd0-9b02-45b8-9e88-1e4ec6f4ab5b
Organization: Department of the Interior
Shorelines of the southern North Carolina (NCsouth) coastal region used in shoreline change analysis

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-beach, atlantic-coast, bald-head-island, bogue-banks, browns-inlet, cape-fear, carolina-beach, cerc, cerc-map, cmgp, coastal-and-marine-geology-program, coastal-engineering-research-center, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, emerald-isle, environment, erosion, geoscientificinformation, high-water-line, hwl, kure-beach, mean-high-water, mhw, national-assessment-of-shoreline-change-project, national-ocean-service, national-oceanic-and-atmospheric-administration, nc, new-river-inlet, noaa, north-america, north-carolina, nos, oceans, shackleford-banks, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, topsail-island, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, usace, usgs, usgs-58b891bee4b01ccd5500c350, whcmsc, woods-hole-coastal-and-marine-science-center, wrightsville-beach
Organization: Department of the Interior
Hawaiian Islands annual and mean seasonal variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios

We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). Aside from these typical bioclimatic variables, we also calculated annual and mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate. As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.

Tags: bioclimatic-variables, biota, climate-shifts, future-scenarios, global-circulation-models, hawaii, main-hawaiian-islands, regional-projections, usgs-629ffa2ad34ec53d276fd5d2
Organization: Department of the Interior
Geophone Data from Brandon Road Lock and Dam, (2014)

The data collection for the concrete-walled channel downstream from the Brandon Road Lock and Dam near Joliet, Illinois occurred in May 2014 
Five pounds per square inch (lb/in2) was used as a threshold water pressure value for this study as this value incorporates fish behavior and structural integrity considerations. The Brandon Road study evaluated the performance of two different water gun configurations within the concrete-walled channel downstream from the lock with depths ranging from 12-15 feet.  Data from a single 80 cubic inch (in³) water gun produced a roughly cylindrical 5 lb/in2 pressure field 20 feet in radius, oriented vertically, with the radius decreasing to less than 15 feet at the surface.  A combination of two 80-in³ water guns produced a similarly shaped 5 lb/in2 pressure field 30 feet in radius.  Velocity and acceleration data were collected simultaneously with the underwater pressure data to understand the response of the adjacent channel walls to the water gun firings.  Maximum values for velocity and acceleration were 0.239 inches per second (in/s) and 0.019 feet per second squared (ft/s²), respectively.

Tags: asian-carp, brandon-road-lock-and-dam, illinois, illinois-river, invasive-species, joliet, seismic, usgs-58a374abe4b0c8251287d2ae, water-gun, will-county
Organization: Department of the Interior
LANDFIRE 2016 Remap Slope (SLP) American Samoa

Slope was produced from the IA DEM using ESRIs Slope tool. Output measurement for slope was both Degrees and Percent Rise (2 files produced).

Tags: american-samoa, biota, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, insular-areas, landfire-2016-remap, oconus, raster-digital-data, remote-sensing, slope, topo, topography, u-s-geological-survey-usgs, united-states, us, usgs-f6e96bdb-3b2b-4e50-b205-1017829effdd
Organization: Department of the Interior
St. Petersburg Coastal and Marine Science Center Geoscience Data Viewer Metadata

This web mapping application is a compilation of geoscientific data collected and published by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This application does not serve as a complete archive of all the geoscientific data collected by the center, but highlights frequently published data types. Data within this web application include: seismic data extents, seismic survey tracklines (boomer, chirp, and minisparker), bathymetric footprints (singlebeam, multibeam and/or interferometric swath), light detection and ranging (lidar) footprints, sidescan sonar mosaics, and geologic cores and samples (coral, coral reef, limestone, and sediment). The web application is currently published using Esri's (Environmental Systems Research Institute) ArcGIS Instant Apps.

Tags: alabama, atlantic, bahamas-the, bathymetry, bedrock, belize, benthic, boomer, brazil, caribbean-sea, china, chirp, coral, coral-reef, cores, data-extent, elevation, field-sampling, florida, footprint, geology, geomorphology, geophysics, georgia, geoscientificinformation, honduras, interferometric-sonar, interferometric-swath, lidar, limestone, louisiana, marine-geology, marshall-islands, maryland, mexico, minisparker, mississippi, multibeam, multibeam-sonar, new-jersey, new-mexico, new-york, ocean-processes, oceans, pacific, philippines, puerto-rico, sample-repositories, samples, sea-floor-characteristics, sediment, sediment-transport, seismic, side-scan-sonar, sidescan-sonar, single-beam-echo-sounder, singlebeam, study-areas, sub-bottom-profiling, subsurface, surface, texas, trackline, turks-and-caicos-islands, united-states, usgs-b2d4b745-973c-4f5e-887d-2066add827ef, virgin-islands-of-the-united-states, virginia, washington
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016 and 2018 Site 2614 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of five land-water products (2005, 2008, 2012, YYYY and 2018).  The resulting matrix has 32 possible classes defined by the combination of land and water categories on those five dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611f1474d34e40dd9c01d2ee, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior