AndreaBozzo/ceres-open-data-index huggingface dataset:
CEDIT_6_9_southern_Italy_1980

"This inventory was originally created by CEDIT_italian_database describing the landslides triggered by the M6.9 southern Italy earthquake that occurred on 1980-11-23 at 18:34:53 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty."

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b2a35e4b006a11f779851
Organization: Department of the Interior
CEDIT_6_3_central_Italy_2009

This inventory was originally created by CEDIT_italian_database describing the landslides triggered by the M6.3 Aquilano earthquake that occurred on 2009-04-06 at  1:32:39 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b26b0e4b006a11f779680
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5267 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. 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. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

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-5b5f545ae4b006a11f66eb8c, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
2017 U.S. Geological Survey/BC Hydro seismic data recorded at three dam sites on Vancouver Island, British Columbia, Canada

In May 2017, we acquired high-resolution seismic profiles near three dam sites (Strathcona, Laodre and John Hart dams) located on Vancouver Island, British Columbia, Canada. Our goal was to measure seismic velocities (particularly Vs) at each dam site using body and surface waves. The data were analyzed using refraction tomography and multi-channel analysis of surface waves (MASW), especially in the upper 30 m of the subsurface. The analyzed data are presented in a separate report (Catchings and others, in review). We also recorded one hour of ambient noise (passive-source) data along most of the same profiles.

Tags: british-columbia, earthquakes, faulting-geologic, hazards, seismic-reflection-methods, seismology, usgs-5b6b227ae4b006a11f7795d7, vancouver-island
Organization: Department of the Interior
CEDIT_6_6_Norcia_Italy_2016

This inventory was originally created by CEDIT_italian_database describing the landslides triggered by the M6.6 Norcia, Italy earthquake that occurred on 2016-10-30 at  6:40:18 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b2201e4b006a11f7795c3
Organization: Department of the Interior
Earthquake-induced ground failures in Italy from a reviewed database

This inventory was originally created by CEDIT (Italian Database) describing the landslides triggered by the M6.2 Norcia, Italy earthquake that occurred on 2016-08-24 at 01:36:32 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b171ee4b006a11f779485
Organization: Department of the Interior
Earthquake-induced ground failures in Italy from a reviewed database

This inventory was originally created by CEDIT (Italian Database) describing the landslides triggered by the M6.1 Visso, Italy earthquake that occurred on 2016-10-26 at 19:18:08 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b1177e4b006a11f7793ea
Organization: Department of the Interior
Earthquake-induced ground failures in Italy from a reviewed database

This inventory was originally created by CEDIT (Italian Database) describing the landslides triggered by the M6.0 central Italy earthquake that occurred on 1997-09-26 at 09:40:26 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.
With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS. They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-information-system, geologic-hazards-science-center, ghsc, gis, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, secondary, secondary-hazards, usgs, usgs-5b6b075ee4b006a11f77930e
Organization: Department of the Interior
Tributary Pour Points for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This point vector dataset represents tributary pour points used as model boundary inflow locations to the tributary Streamflow-Routing (SFR) Package network for recharge and runoff simulated by the Transboundary Rio Grande Watershed Model (TRGWM) for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico (Hanson and others, 2018).

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, elevation, geology, geoscientificinformation, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, inlandwaters, las-cruces, new-mexico, rio-grande, surface-water, texas, transboundary, usgs-5b929d8be4b0702d0e80a0ae
Organization: Department of the Interior
Las Lomas Hillside Lidar

This data release contains point clouds obtained from three terrestrial laser scanner (TLS) surveys of a hillslope (NAD 83/11 N/ 412828E/ 3780128N) burned by the 2016 Fish Fire in the 
San Gabriel Mountains, CA, USA. The TLS surveys were completed with a Leica ScanStation C10. The first survey was made on 19 November 2016 prior to the first post-wildfire rainstorm. The second survey was performed on 5 January 2017. Two runoff-generating rainstorms occurred between the first and second surveys. The two rainstorms had peak fifteen-minute average rainfall intensities of 27 mm/h and 10 mm/h, respectively. The third survey was performed on 22 February 2017, following five additional runoff-generating post-wildfire rainstorms. Peak fifteen-minute average rainfall intensities for the five rainstorms were 8 mm/h, 11 mm/h, 16 mm/h, 25 mm/h, and 38 mm/h, respectively. Maps of hillslope erosion derived from the TLS data can be used to document hillslope erosion resulting from these two sets of rainstorms, including the initiation and growth of a substantial rill network. Additional details and a description of the study site can be found in the journal article: Hui T, McGuire LA, Rengers FR, Kean JW, Staley DM, Smith JB. Evolution of debris flow initiation mechanisms and sediment sources during a sequence of post-wildfire rainstorms. Journal of Geophysical Research. 2018.

Tags: burned-watershed, earth-science, geologic-hazards-science-center, ghsc, hazard, hillslope-erosion, landslide-hazard, landslide-hazards-program, lhp, lidar, post-wildfire-rainstorm, soil-erosion, terrestrial-laser-scanner, tls, usgs, usgs-5b6b025ee4b006a11f7792ef, wildfire, wildfire-hazard
Organization: Department of the Interior
Cross-Section Geometry at Two Bridges over the Gunnison River in Western Colorado, 2016–18 (ver. 2.0, January 2022)

This dataset contains cross-section surveys of the Gunnison River at Colorado Department of Transportation bridges I-04-K and I-03-A, western Colorado, 2016–18. The surveys were performed using a  Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) receiver, a U.S. Geological Survey (USGS) bridge crane with sounding weights, and optical levels. During surveys performed in 2016, a base reference marker for horizontal stationing was established at each bridge using the RTK-GNSS equipment. Subsequent surveys of channel geometry were performed using optical levels for ground surface observations above the water line and sounding weights for streambed observations below the water line, referenced to the base reference marker established in 2016. Streambed elevations were interpolated at 10-foot intervals between the measured points for both bridges because measured elevations were not always obtained at the exact same stationing from 2016 to 2018. Additionally, streambed elevations were interpolated at 5-foot intervals for stations within 20 feet of either side of the monitored piers. Stationing and elevation data are presented in the comma separated values (.CSV) files, with one file for each bridge and each year. Discussion of these data is presented in Henneberg (2018) USGS Scientific Investigations Report, “Real-Time Streambed Scour Monitoring at Two Bridges over the Gunnison River in Western Colorado, 2016–17." These data were collected in cooperation with the Colorado Department of Transportation.
Version 2.0 contains an additional cross-section survey of the Gunnison River at Colorado Department of Transportation bridge I-03-A, western Colorado, 2018. The survey was performed with an Acoustic Doppler Current Profiler (ADCP) following procedures described in USGS Techniques and Methods 3-A22 (Mueller and others, 2013).
First posted - December 17, 2018
Revised - January 25, 2022  (version 2.0)

Tags: delta-colorado, delta-county, grand-junction-colorado, mesa-county, scour, usgs-5b6aeb5ee4b006a11f7792ba
Organization: Department of the Interior
Geophysical and geochemical data for salinity mapping in the Midway-Sunset oil field area

The U.S. Geological Survey (USGS) and California State University-Sacramento, in cooperation with the California State Water Resources Control Board and U.S. Bureau of Land Management, compiled and analyzed data for mapping groundwater salinity in selected oil and gas fields in California. The data for the Midway-Sunset (MWSS) oil field includes digitized borehole geophysical data, geochemical analyses of produced water samples from oil and gas wells, core sample analysis from select wells, and groundwater total dissolved solids (TDS) estimations with the related geophysical log data. These data have been compiled from many sources and span several decades. The geochemical data include ion concentrations and TDS which are attributed with the sample date, geological formation, and perforation depths. These data have been in archived scanned pages of historical lab analyses on the Division of Oil, Gas, and Geothermal Resources (DOGGR) website. The borehole geophysical data has been provided by California Division of Oil, Gas, and Geothermal Resources (DOGGR). These data were compiled primarily to create groundwater salinity maps to assist in regional groundwater monitoring as part of the California State Water Resources Control Board's Program of Regional Monitoring of Water Quality in Areas of Oil and Gas Production and the USGS California Oil, Gas, and Groundwater (COGG) program.

Tags: borehole-geophysics, california, enhanced-oil-recovery, geochemistry, groundwater-salinity, kern-county, midway-sunset, oil-and-gas, san-joaquin-valley, usgs-5b6a1411e4b006a11f7778c4
Organization: Department of the Interior
Distribution of grazing cattle within the Pacific drainages of the United States, 2012

The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (for example, sediment and nutrients) through the Pacific drainages of the United States (the Columbia River basin; the coastal drainages of Washington, Oregon, and California; the Klamath River basin; the Central Valley of California, and the west slopes of the Sierra Nevada Mountains). SPARROW relates instream water quality measurements to spatially referenced characteristics of watersheds, including contaminant sources and the factors influencing terrestrial and aquatic transport. Cattle grazing intensity is a potential factor affecting sediment and nutrient delivery to streams.  The spatial data set “Distribution of grazing cattle within the Pacific drainages of the United States (2012))" represents an estimate of the distribution of grazing cattle on potential grazing land in 2012. This data set was created by disaggregating 2012 county-level values for the number of cattle not housed in an animal feeding operations (such as a dairy or feedlots) to the potential grazing land within each county. The resulting raster data set represents the number of grazing cattle per each grid cell of potential grazing land.

Tags: agriculture, environment, farming, inlandwwaters, usgs-5b69f7c3e4b006a11f776ce1
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5167 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. 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. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

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-5b5f5450e4b006a11f66eb88, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior