AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood Video Files for Middle Camera (Station 2), Chalk Cliffs, Colorado, USA, 2017

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). This "Child item" page includes videos of floods captured by one of the high-definition cameras at the monitoring site in Chalk Cliffs, CO. This camera (Middle Camera) is located near Station 2. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the four cameras and three stations along the channel.   
Video recording for all cameras is triggered using a rainfall threshold (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits.  More detailed information about the cameras and settings used can be found in the metadata file under "Process steps" in "Data quality information." 
During 2017, several floods were captured by the 'Firehose Camera'. The videos for all floods captured by this camera along with the dates they were captured can be found in the attached zip folders.  
The following citations relate to reports that provide background information for this data release: 
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173051 
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f76009782cef8d1839c67cc, video-monitoring, videos
Organization: Department of the Interior
Debris Flow Video Files for Middle Camera (Station 2), Chalk Cliffs, Colorado, USA, 2017

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). This "Child item" page includes videos of debris flows captured by one of the high-definition cameras at the monitoring site in Chalk Cliffs, CO. This camera (Middle Camera) is located near Station 2. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the four cameras and three stations along the channel.   
Video recording for all cameras is triggered using a rainfall threshold (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits.  More detailed information about the cameras and settings used can be found in the metadata file under "Process steps" in "Data quality information." 
During 2017, several debris flows were captured by the 'Middle Camera'. The videos for all debris flows captured by this camera along with the dates they were captured can be found in the attached zip folders.  
The following citations relate to reports that provide background information for this data release: 
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173051 
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f76088282cef8d1839c67f9, video-monitoring, videos
Organization: Department of the Interior
Soil geomorphic unit and ecological site group maps for the rangelands of the Upper Colorado River Basin region

This data release includes maps characterizing soil geomorphic units (SGUs), climate zones, and ecological site groups that classify landscapes by ecological potential and behavior for use in land management in the Upper Colorado River Basin (UCRB) region. Soil geomorphic units were created by analysis and grouping of ecological sites (ESs), a more detailed local system of ecological units managed by the National Cooperative Soil Survey (NCSS). Vegetation reference community production data of ESs were analyzed to determine discrete rules based on field soils data linked to the soil survey geographic (SSURGO) database of the USA to determine SGUs. Then both reference production data and state and transition model (STM) state attribution data were used to optimize combination of potential climate zone breaks with SGUs to determine final ecological site groups (ESGs). A non-parameteric Manova framework was used for all analysis in creating SGUs and ESGs to find groupings that best discerned differences in reference production and STMs. These groups, and the associated climate zones are mapped at 30m resolution for this data release. Mapping was done using a digital soil mapping workflow that linked field soil descriptions keyed to SGU to environmental raster covariates (e.g. digital elevation model) to create a predictive mapping model. The ESGs were then created by overlaying various climate surfaces with the SGUs to reclassify pixels. The SGU predictions are provided as the 1st, 2nd, and 3rd most probable class for each pixel based on the underlying random forest model probabilities.

Tags: 30m-resolution, arizaona, atmospheric-and-climatic-processes, cartography, climate-zones, colorado, colorado-plateau, digital-soil-mapping, ecological-potential, ecological-potential-and-behavior, ecological-processes, ecological-site-groups, ecological-sites, geomorphology, land-management, national-cooperative-soil-survey, new-mexico, predictive-mapping-model, rangeland-management, soil-geomorphic-units, soil-resources, soil-sciences, soil-survey-geographic-ssurgo-database, state-and-transition-model, terrestrial-ecosystems, upper-colorado-river-basin, usgs-5f76119e82cef8d1839c681d, utah, wyoming
Organization: Department of the Interior
Coseismic surface displacement and fault zone width measurements in the 2019 Ridgecrest earthquakes from WorldView optical image correlation

(1) Lateral displacement measurements made based on optical image correlation results from WorldView satellite images along with (2) local and regional rupture width measurements for the 2019 Mw6.4 and Mw7.1 Ridgecrest earthquakes, CA.

Tags: earthquakes, usgs-5f7622e682cef8d1839c6896
Organization: Department of the Interior
EverWaders species distribution model development and output in the Greater Everglades from 2000-2009

Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models of Everglades wading bird distribution. Using a joint species distribution model that accounted for imperfect detection, we modeled the presence of nine species of wading bird simultaneously in response to annual hydrologic conditions and landscape characteristics within the Everglades system. Our resulting model improved upon the previous model in three key ways: 1) the model predicts probability of occupancy for the nine species on a scale of 0-1, making the output more intuitive and easily comparable for managers and decision-makers that must consider the responses of several species simultaneously; 2) through joint species modeling, we were able to consider rarer species within the modeling that otherwise are detected in too few numbers to fit as individual models; and 3) the model explicitly allows detection probability of species to be less than 1 which can reduce bias in the site occupancy estimates. These improvements are essential as Everglades restoration continues and managers require models that consider the impacts of water management on key indicator wildlife such as the wading bird community.

Tags: biota, community-ecology, everglades, southern-florida, statistical-modeling, usgs-5f76232382cef8d1839c689c, usgs-ema-low-mr-landscape-ecology
Organization: Department of the Interior
CTD (Conductivity Temperature Depth) data collected October-November 2019 offshore of California and Oregon

CTD (Conductivity Temperature Depth) data were collected October-November 2019 offshore of California and Oregon as part of the ongoing EXPRESS: Expanding Pacific Research and Exploration of Submerged Systems project. The data were collected using an SBE 49 FastCAT V 1.2a CTD profiler attached to the “Yogi” ROV launched from the National Oceanic and Atmospheric Administration’s (NOAA’s) R/V Reuben Lasker (NOAA cruise R-19-05).

Tags: carbonate-analysis, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, ctd-measurement, environment, geochemistry, geoscientificinformation, marine-chemistry, marine-water-quality, ocean-salinity, ocean-temperature, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, time-series-datasets, u-s-geological-survey, usgs, usgs-5f7623fe82cef8d1839c68a3, water-column-features
Organization: Department of the Interior
Flood Video Files for Firehose Camera, Chalk Cliffs, Colorado, USA, 2017

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). This "Child item" page includes videos of floods captured by one of the high-definition cameras at the monitoring site in Chalk Cliffs, CO. This camera (Firehose Camera) is located near the bottom of the channel. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the four cameras and three stations along the channel.   
Video recording for all cameras is triggered using a rainfall threshold (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits.  More detailed information about the cameras and settings used can be found in the metadata file under "Process steps" in "Data quality information." 
During 2017, several floods were captured by the 'Firehose Camera'. The videos for all floods captured by this camera along with the dates they were captured can be found in the attached zip folders.  
The following citations relate to reports that provide background information for this data release: 
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173051 
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f76496782ce20f3300feb81, video-monitoring, videos
Organization: Department of the Interior
Hydrogeologic data from the San Antonio Creek Valley watershed, Santa Barbara County, California, 2015-2019.

The San Antonio Creek Valley watershed (SACVW) is located in western Santa Barbara County about 15 miles (mi) south of Santa Maria, California and 55 mi north of Santa Barbara, California. The SACVW, is about 140 square miles and encompasses the San Antonio Creek Valley groundwater basin; From the late 1800s, groundwater has been the primary source of water for agricultural, military, municipal, and domestic uses. Groundwater withdrawal from pumping has exceeded the amount of water replenishing the basin, causing groundwater declines of more than 150 feet in parts of the valley between 1943 and 2017, and reducing base flow in San Antonio Creek at the western end of the SACVW. Agricultural water use (primarily for the present-day irrigation of vineyards, and bush fruit and berry crops), and the lack of other sources of water, has, and will continue to strain the sustainability of the groundwater system.
To address these concerns, the U.S. Geological Survey (USGS) entered into a cooperative agreement with the Santa Barbara County Water Agency and Vandenberg Space Force Base to develop a better understanding of the hydrogeologic system, and to provide tools to help evaluate and manage the effects of future development of the San Antonio Creek Valley groundwater basin, and in the encompassing SACVW. These datasets collected in this effort are being used to assist in the development a numerical integrated hydrologic model of the SACVW. 
As part of this study the USGS collected hydrogeologic field data. Field data included streambed infiltrometer and aquifer slug tests, and measurements from streambed electrical resistivity instruments and temperature rod sensors. Infiltrometer tests provided data that can be used to estimate infiltration rate, streambed hydraulic conductivity and specific yield in the SACVW. Aquifer slug tests provided data that can be used to estimate hydraulic conductivity of aquifer units. Streambed electrical resistivity instruments provided data that can be used to estimate stream intermittency and flow patterns, and temperature rod sensors provided data that can be used to estimate streamflow infiltration.

Tags: bedrock-geologic-units, borehole-logging, careaga-sandstone, groundwater-level, paso-robles-formation, percolation, rocks-and-deposits, streams, usgs-5f77783782ce1d74e7d6c082
Organization: Department of the Interior
Numerical Simulation of 1D Advection-Dispersion Equation of Conservative Tracer with Oscillating Tidal Flows

Model archive for a numerical simulation of the one-dimensional advection-dispersion equation of a conservative tracer with oscillating tidal flows. The numerical simulation was used to examine how a conservative tracer evolves along a tidal channel. Scenarios were run to examine the effects increased dispersion, increased and decreased mixing at a channel junction, and increased advection. Code for the model was developed in Matlab (MathWorks® Inc., 2019). Model code, input and output files, and plotting scripts are available with this release. Details of the parameters used in the simulation and results are described in Stumpner et. al 2020. The README.doc file contains description of files provided and instructions to run the model.

Tags: 1d-advection-dispersion, conservative-tracer, inlandwaters, sacramento-san-joaquin-delta, san-joaquin-delta, tidal-flow, usgs-5f77a21e82ce1d74e7d6d190
Organization: Department of the Interior
Unprocessed aerial imagery from 30 September 2020 coastal survey of Central California.

This is a set of 3862 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey 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-5f78bf0d-eb76-41bf-a8cc-7fe88a4796db, visible-light-imaging
Organization: Department of the Interior
Environmental DNA data, fish abundance data, and stream habitat data from northwest Montana and northeast Washington and southern British Columbia, Canada

Field estimates of the abundance of two trout species (bull trout and westslope cutthroat trout) in Montana and rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.

Tags: aquatic-biology, biota, bull-trout, environmental-dna, habitat, rainbow-trout, usgs-5f7a095982ce1d74e7d90d26, westslope-cutthroat-trout
Organization: Department of the Interior
Point locations of brick kilns in Kabul, Afghanistan, derived from 1965, 2004, 2011, and 2018 satellite imagery

This dataset was created as part of the USGS Afghanistan Project investigating artisanal and small-scale mining activity. Clay mining for brick making purposes represents a small but important segment of the mineral extraction industry in Kabul, Afghanistan. Over the past several decades Kabul has grown from a relatively small city, with a 1970 population of less than 500,000 people, to a sprawling urban center with approximately 4.2 million people in 2020 (CIA 2020). Population growth has expanded the need for housing, commercial, and industrial buildings, and associated infrastructure. This has greatly increased demand for bricks, the primary construction material of the region. In this study, very high-resolution satellite imagery was interpreted to quantify and characterize the type, number, and location of brick kilns for 1965, 2004, 2011 and 2018. Geospatial analysis of these kiln locations together with geologic data and Landsat multispectral image analysis provides additional information about the mineral resources exploited for brick making.

Tags: biota, clay-deposits, loess, mining-and-quarrying, usgs-5f7b2fa982ce1d74e7d91135
Organization: Department of the Interior
Evaporation at LZ40 Platform, Lake Okeechobee, Palm Beach County, Florida, November 16, 2012 - December 31, 2019

Daily measurements of evaporation using the Bowen ratio method were made at USGS station name LZ40 (USGS site number 265405080472100), a platform-based station constructed by the South Florida Water Management District (SFWMD) at the approximate center of Lake Okeechobee, Florida. Data collection began on November 15, 2012. Meteorological and environmental variables were measured every 30 seconds and averaged at 30-minute resolution until February 7, 2013 and 15-minute resolution thereafter to December 31, 2019, including: precipitation, air temperature, relative humidity, wind speed, incoming/outgoing solar radiation, and water temperature at various depths.

Tags: bowen-ratio, evaporation, florida, lake-okeechobee, usgs-5f7b6a6a82ce1d74e7d915bc
Organization: Department of the Interior
Slow-moving landslides near the U.S. West Coast mapped from ALOS and ALOS-2 InSAR, 2007-2019

This data set provides a polygon shapefile delineating relatively large, slow-moving (4-17 cm/year in the radar line-of-sight direction) landslides in the continental U.S. western coastal states (California, Oregon, and Washington). The polygons also are provided in a Google Earth .kmz file. Delineated landslides were identified from displacement signals captured by InSAR (Interferometric Synthetic Aperture Radar) interferograms of ALOS PALSAR (Advanced Land Observing Satellite; Phased Array type L-band Synthetic Aperture Radar) images between 2007 and 2011, and ALOS-2 PALSAR-2 images between 2015 and 2019. The ALOS PALSAR images utilized cover the three states entirely; the ALOS-2 PALSAR images utilized cover primarily the western half of the study area where 97.6% of the identified landslides are located. The Scene IDs of the used ALOS and ALOS-2 images are provided in text files. The 1/3 arc-second National Elevation Datasets from the U.S. Geological Survey (https://apps.nationalmap.gov/downloader/, last accessed November 12, 2020), and optical images available from Google Earth were utilized to assist in landslide identification.
Each polygon in the shapefile outlines the active area of a landslide. The active areas identified for a given landslide using the ALOS PALSAR and ALOS-2 PALSAR-2 interferograms differ slightly in some cases. For these, we used the larger polygon as the landslide boundary. The shapefile attribute table indicates which data were used to identify the landslide (“Comments”), and this is also indicated by the “Flag” field of the table, where values of 1, 2, and 3 indicate ALOS, ALOS2, and both datasets, respectively; a flag value of 4 was assigned for rock glaciers, which were only identified using ALOS data. The attribute table also provides areas of each polygon in square meters.
These data support a study described in:
Xu, Y., Schulz, W.H., Lu, Z., Kim, J., and Baxstrom, K., 2021, Geologic controls of slow-moving landslides near the U.S. west coast: Landslides, doi:10.1007/s10346-021-01732-3

Tags: california, landslides, oregon, rocks-and-deposits, uplift, usgs-5f7c952382ce1d74e7db53c3, washington
Organization: Department of the Interior
Surface geophysical data for characterizing shallow, discontinuous frozen ground near Fort Yukon, Alaska

The distribution of permafrost in cold regions is subject to temporal and spatial changes influenced by climate, landscape disturbance, and ecosystem succession. Remote sensing from airborne and satellite platforms is increasing our understanding of landscape-scale permafrost distribution, but typically lacks the resolution to characterize finer-scale processes and phenomena, which are often better captured by surface geophysical methods. Specifically, the electrical conductivity of the earth can be used to infer lithological and pore fluid properties, and in this case to delineate frozen, partially frozen, and unfrozen ground. Here, we present electromagnetic induction (EMI) data collected in August 2012 around the highly dynamic Twelvemile Lake, Yukon Flats, central Alaska, USA. This data release presents raw and processed results from hand-carried frequency domain EMI data collected with the GEM-2 instrument (Geophex, Ltd.) at approximately 0.75 m off the ground in both vertical and horizontal coplanar modes.

Tags: alaska, cold-regions, electromagnetic-imaging, environment, geophysics, geoscientificinformation, groundwater, hydrogeology, inlandwaters, permafrost, usgs-5f7cb67c82ce1d74e7db54df, yukon-flats
Organization: Department of the Interior