AndreaBozzo/ceres-open-data-index huggingface dataset:
Photographs of fault rupture and ground deformation features produced by the Mw 6.0 South Napa earthquake of August 24, 2014

This product is the result of a comprehensive compilation of site-specific ground photographs taken where tectonic faulting and ground failure produced visible deformation that fractured and disturbed the ground surface. The resultant data is distributed as collection of JPEG image files. All post-earthquake photographs taken by investigators working for public agencies are in the public domain, including data that have been published in summary reports elsewhere.  These photographs are best viewed in context with fault rupture and other observations from the related KMZ file of summary field observations and photographs (https://www.sciencebase.gov/catalog/item/5c1d7ae0e4b0708288ca1322), or from the associated open-file report appendixes (Ponti, D.J, Rosa, C.M, and Blair, J.L., 2019, The Mw 6.0 South Napa Earthquake of August 24, 2014—Observations of surface faulting and ground deformation, with recommendations for improving post-earthquake field investigations: U.S. Geological Survey Open-File Report 2019–1018, https://doi.org/10.3133/ofr20191018.). The FGDC metadata file associated with this item provides attribute information for all photographs in all of the child items of this photo collection.

Tags: california, deformation-geologic, earthquake-occurrences, faulting-geologic, field-inventory-and-monitoring, geoscientificinformation, image-collections, napa, napa-county, photography, san-francisco-bay, usgs-585c58fbe4b01224f329bbf5
Organization: Department of the Interior
Spreadsheet of projected future precipitation depths at 170 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_future_2040.xlsx)

The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2038-42 (centered in the year 2040) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided which tabulates projected future precipitation depths derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. A maximum likelihood approach is used to fit the projected future extreme-precipitation depths to extreme projected future precipitation data estimated using a statistical scaling approach. The return levels are modified to account for changes in the future frequency of large-scale meteorological factors conducive to precipitation by means of an analog resampling approach. The projected future extreme-precipitation depths are tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, 200, and 500 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, florida-flood-hub-for-applied-research-and-innovation, precipitation-atmospheric, precipitation-extremes, usgs-64a2e478d34ef77fcb056b73
Organization: Department of the Interior
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)

The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based on nine different randomizations, equals 5.0% with a standard deviation of +/- 0.11. The mean value for each pixel represents the May 2019 early estimate of annual herbaceous percent cover. The pixel values for the merged 2019 dataset range from 0 to100 percent cover with an overall mean value of 11.20 and a standard deviation of +/-9.77. This dataset is generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas above 2250-m elevation because annual grasses are unlikely to exist at substantial cover above this threshold. To target likely sagebrush ecosystems, the mask also hid pixels classified as something other than shrub or grassland/herbaceous by the 2011 National Land Cover Dataset (NLCD). Cheatgrass (Bromus tectorum) is the most common annual grass in the study area. It grows from seed, usually in spring, matures quickly, produces seed, and dies. After dying, cheatgrass contributes fine fuels that facilitate fire ignition and spread throughout sagebrush ecosystems. These fires remove sagebrush stands. Increasing fire frequencies, land management practices, and development have all contributed to the fragmentation of the once expansive sagebrush ecosystems. These ecosystems are critical for water quality, reduced fire threats, and the survival of sagebrush-dependent wildlife.

Tags: annual-grass, annual-herbaceous, bromus-tectorum, california, cheatgrass, colorado, desert, fire, geoscientificinformation, great-basin, habitat, idaho, invasive, montana, ndvi, nevada, oregon, sagebrush, satellite, snake-river-plain, usgs-5ce98fefe4b033153c93e3d1, utah, wyoming
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0687 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). 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-6569e5eed34e6dde1a4ae176, wetland, wetland-restoration
Organization: Department of the Interior
Geochemistry data for a Re-Os geochronology study of the Eocene Green River Formation in Uinta Basin, Utah

This dataset is associated with a journal article "The Role of Organic Matter Diversity on the Re-Os Systematics of Organic-rich Sedimentary Units: Insights into the Controls of Isochron Age Determinations from the Lacustrine Green River Formation" and summarizes data generated by the Petroleum Geochemistry Research Laboratory that was used in this work. Data include bulk organic geochemistry on whole rocks and a few compound ratios based on analysis of extractable organic matter.

Tags: 1-coyote-wash-core, biomarkers, eocene-lake-uinta, geoscientificinformation, source-rock-geochemistry, total-pr-15-7c-core, uinta-basin, usgs-628797e3d34e4fef2ec3be3d, utah, utah-geological-survey-skyline-16-core
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 5116 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 398 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 2018 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. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). 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-611d2e3cd34e40dd9c012b76, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Groundwater-level data in support of groundwater- and surface-water-interactions report—Groundwater and Surface-Water Interactions in the Lower Duwamish Waterway, Seattle, Washington

The U.S. Geological Survey (USGS), in cooperation with the Washington State Department of Ecology (Ecology), conducted a study to describe the current understanding of the regional groundwater system of the lower Duwamish River valley and groundwater and surface-water interactions in the lower Duwamish Waterway. A nearshore site along the western shoreline of the Duwamish River, about 1.5 mi upstream from the river mouth, was selected for focused groundwater data collection by USGS. Data loggers were deployed in seven groundwater wells and one stilling well in the Duwamish River to measure specific conductance, temperature, and depth at 15-minute intervals for a period of about 2 years.This data release contains data supporting the larger work: (1) groundwater-level data used to generate a regional potentiometric-surface map, and (2) bathymetry data collected for a 3-acre embayment adjacent to the primary site of groundwater data collection for the study.

Tags: duwamish-river, environment, geoscientificinformation, groundwater, groundwater-and-surface-water-interactions, inlandwaters, salt-wedge, seattle, usgs-664f5c65d34e702fe8747e99, water-level, water-resources
Organization: Department of the Interior
Location of bottom photographs taken along the U.S. Atlantic East Coast as part of the Continental Margin Program (1963-1968, BPHOTOS)

In 1962, Congress authorized the Continental Margin Program, a joint program between the U.S. Geological Survey (USGS) and the Woods Hole Oceanographic Institution (WHOI) to conduct a geological reconnaissance investigation of the continental shelf and slope off the Atlantic coast of the United States. As part of this program 464 photographs were collected at 378 stations from the Canadian border to the southern tip of Florida. Bottom photography was conducted at many of these stations in conjunction with sediment sampling for grain size, mineralogy, geochemistry, and biology.  Those photographs have been scanned and are archived here to release a digital version of the historical dataset.

Tags: atlantic-margin, black-and-white-photography, bottom-photographs, cmgp, continental-margin-program, continental-shelf, continental-united-states, east-coast, environment, geographic-information-system, geospatial-datasets, gis, location, marine-photography, navigational-data, north-america, oceans, photograph-locations, seafloor-photography, surficial-sediments, u-s-atlantic-east-coast, u-s-geological-survey, underwater-photography, us10-delaware, us12-florida, us13-georgia, us23-maine, us24-maryland, us25-massachusetts, us34-new-jersey, us36-new-york, us37-north-carolina, us44-rhode-island, us45-south-carolina, us51-virginia, usgs, usgs-b2054b92-f420-4dcb-a8a5-a88c67c23f74, woods-hole-field-center
Organization: Department of the Interior
Topography data from northern Monterey Bay, California, March 2017

This part of the data release presents topography data from northern Monterey Bay, California collected in March 2017. Topography data were collected on foot with survey-grade global navigation satellite system (GNSS) receivers mounted on backpacks and with an all-terrain vehicle (ATV) using a GNSS receiver mounted at a measured height above the ground.

Tags: bathymetry-and-elevation, cmgp, coastal-and-marine-geology-program, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, monterey-bay, monterey-county, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, santa-cruz-county, topography, u-s-geological-survey, usgs, usgs-59fb42bee4b0531197b16278
Organization: Department of the Interior
DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Cedar Island, VA, 2010–2011

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, bayesian-network, biota, cedar-island, charadrius-melodus, cmgp, coastal-and-marine-geology-program, coastal-habitat, delmarva-peninsula, ecology, environment, foraging-ecology, geographic-information-systems, geography, geomorphology, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, piping-plovers, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc8d0e4b0941bde4fc590, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Edge of water boundary of Old Erie Canal

The Old Erie Canal has undergone sedimentation and aquatic growth that have restricted flow and diminished the aesthetic quality of the canal during the nearly 200 years since its construction. During 2018–2019, the U.S. Geological Survey (USGS) in cooperation with the Madison County Planning Department and the New York State Canal Corporation conducted a study of the Old Erie Canal between the Town of DeWitt, New York, and its junction with the current Erie Canal of the New York State Canal System near Rome, N.Y. The study comprised bathymetric, velocity, and water-quality surveys and documentation of the canal infrastructure. The USGS established benchmarks and staff gages along the 30.8 miles of the canal study area to reference the water-surface level in the canal to the North American Vertical Datum of 1988 (NAVD 88). Water-quality data (dissolved oxygen, water temperature, specific conductance, pH, and turbidity) were collected concurrently with the bathymetric survey (spring 2018) to characterize changes in water quality along the length of the canal. The canal infrastructure was documented to provide a baseline assessment. 
This dataset contains a shapefile representing the geographic extent of Old Erie Canal.

Tags: geospatial-datasets, hydrology, madison-county, new-york-state, old-erie-canal, oneida-county, onondaga-county, united-states, usgs-5f05d3fe82ce21d4c3f8aac7
Organization: Department of the Interior
JPEG images of seismic data collected offshore of the Chandeleur Islands, LA, 2007

In 2006 and 2007, the U.S. Geological Survey, in partnership with Louisiana Department of Natural Resources and the University of New Orleans, conducted geologic mapping to characterize the sea floor and shallow subsurface stratigraphy offshore of the Chandeleur Islands in Eastern Louisiana. The mapping was carried out during two cruises on the R/V Acadiana. Data were acquired with the following equipment: an SEA Ltd SwathPlus interferometric sonar (234 kHz), Klein 3000 dual frequency sidescan sonar, and an Edgetech 512i chirp subbottom profiling system. The long-term goal of this mapping effort is to produce high-quality geologic maps and geophysical interpretations that can be utilized to investigate the impact of Hurricane Katrina in 2005 and to identify sand resources within the region.

Tags: breton-island, chandeleur-islands, chirp, cmgp, coastal-and-marine-geology-program, curlew-island, geoscientificinformation, gosier-island, gulf-of-mexico, image, image-collections, imagerybasemapsearthcover, jpeg, jpg, louisiana, marine-geophysics, mississippi-river-gulf-outlet, mrgo, new-harbor-islands, north-central-gulf-coast, north-islands, oceans, profiles, segy, seismic, seismic-reflection, sub-bottom-profiling, subbottom, u-s-geological-survey, united-states, usgs, usgs-7c9f28b6-9411-4eb1-95e1-db6acb510f3f, whsc, whsc-field-activity-serial-number-06015, woods-hole-science-center
Organization: Department of the Interior
Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022

U.S. Geological Survey decision analysts and technical experts worked with managers and stakeholders to predict the consequences of alternative actions following environmental DNA detections of invasive Najas minor eDNA in Sebago Lake, Maine, USA.  This dataset provides the consequence and model inputs for each of the alternative actions under different levels of uncertainty.

Tags: biota, economy, environmental-dna, freshwater-ecosystems, invasive-species, plants-organisms, usgs-6436db2bd34ee8d4addcb32d
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T7 from 2000

Orthorectified image from aerial photograph of wetland T7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-5887a99fe4b02e34393d14f0, wetland-ecosystems
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Model Array of Climate Data (Precipitation, Evapotranspiration)

This data release consists of climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922-2019. The BCMv8 data are available in separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020". The data were modified by: (1) clipping the data within the modeled area and modeled time frame, and (2) assigning values from the 270-meter BCMv8 grid to the1-mile CVHM2 model grid for the hydrologic variables precipitation and potential evapotranspiration.

Tags: california, central-valley, climate, climatologymeteorologyatmosphere, environment, farming, geoscientificinformation, hydrology, potential-evapotranspiration, precipitation, united-states, usgs-6227dc6fd34ee0c6b38b808e, water-budget
Organization: Department of the Interior