AndreaBozzo/ceres-open-data-index huggingface dataset:
ROI calibration data - collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017

HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometer radiance data were acquired on September 14, 2017 at the Cresson Pit of the Cripple Creek and Victor mine in Cripple Creek, Colorado. ASD FieldSpecⓇ NG data were collected on September 13 and 14, 2017 at two calibration sites within the Cresson Pit imaged with the HySpex by NEO imaging spectrometers. The HySpex by NEO VNIR-1800 imaging spectrometer is a push broom type instrument that utilizes 1800 pixels to collect 186 channels of spectral data in the region of 400 to 1000 nanometers (nm). The spectral sampling interval of the HySpex by NEO VNIR-1800 is 3.26 nm with a 17° field of view (Norsk Elektro Optikk AS, 2016b). The HySpex by NEO SWIR-384 imagining spectrometer is a push broom type instrument that utilizes 384 pixels to collect 288 channels of spectral data in the region of 930 to 2500 nm. The spectral sampling interval of the HySpex by NEO SWIR-384 is 5.45 nm with a 16° field of view (Norsk Elektro Optikk AS, 2016a). The ASD FieldSpecⓇ NG point spectrometer has a spectral range of 350 to 2500 nm, a spectral resolution of 3 nm @ 700 nm and 6 nm @ 1400/2100 nm, with a spectral sampling of 1.4 nm @ 350 to 1000 nm and 1.1 nm @ 1001 to 2500 nm. The ASD FieldSpecⓇ NG collects 2151 channels of spectral data within a 25° field of view (Malvern Panalytical, 2018).
Imaging spectrometer data were collected by mounting the HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometers on a rotating stage at the southeast portion of the Cresson Pit. The distance from the imaging spectrometers to areas imaged on the opposite side of the pit ranged from approximately 300 to 1500 m. This resulted in a pixel size of 4.7 to 23.4 cm for the VNIR data and 22 to 110 cm for the SWIR data.
ASD FieldSpecⓇ NG spectra from each calibration site were spectrally averaged, converted to absolute reflectance, and convolved to the bandpass and sampling interval of the HySpex by NEO data. HySpex by NEO radiance spectra from regions of interest that encompassed the calibration sites were also spectrally averaged. Multipliers were generated by dividing the averaged and convolved ASD FieldSpecⓇ NG calibration site absolute reflectance data with the averaged HySpex by NEO radiance data encompassing the calibration sites. HySpex by NEO reflectance data cubes were generated by applying the multipliers to the HySpex by NEO radiance data cubes. The resultant reflectance cubes were then combined to create the reflectance mosaic. White mica wavelength position maps were generated using routines in the U.S. Geological Survey PRISM version1aq software suite (Kokaly, 2011).

Tags: big-bull-mountain, colorado, cripple-creek, cripple-creek-district-mine, cripple-creek-north, cripple-creek-south, economic-geology, front-range, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, hyperspectral-imaging, mineral-resources, mineral-resources-program, mineralogy, mrp, pikes-peak, remote-sensing, teller-county, united-states, usgs-62977335d34ec53d276c0cb4
Organization: Department of the Interior
Calibrated hyperspectral reflectance data - collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017

HySpex by NEO (HySpex) VNIR-1800 and SWIR-384 imaging spectrometer radiance data were acquired on September 14, 2017 at the Cresson Pit of the Cripple Creek &amp; Victor mine in Cripple Creek, Colorado. ASD FieldSpecⓇ NG data were collected on September 13 and 14, 2017 at two calibration sites within the Cresson Pit imaged with the HySpex imaging spectrometers. The HySpex VNIR-1800 imaging spectrometer is a push broom type instrument that utilizes 1800 pixels to collect 186 channels of spectral data in the region of 400 to 1000 nm. The spectral sampling interval of the HySpex VNIR-1800 is 3.26 nm with a 17° field of view (Norsk Elektro Optikk AS, 2016b). The HySpex SWIR-384 imagining spectrometer is a push broom type instrument that utilizes 384 pixels to collect 288 channels of spectral data in the region of 930 to 2500 nm. The spectral sampling interval of the HySpex SWIR-384 is 5.45 nm with a 16° field of view (Norsk Elektro Optikk AS, 2016a). The ASD FieldSpecⓇ NG point spectrometer has a spectral range of 350 to 2500 nm, a spectral resolution of 3 nm @ 700 nm and 6 nm @ 1400/2100 nm, with a spectral sampling of 1.4 nm @ 350 to 1000 nm and 1.1 nm @ 1001 to 2500 nm. The ASD FieldSpecⓇ NG collects 2151 channels of spectral data within a 25° field of view (Malvern Panalytical, 2018).
Imaging spectrometer data were collected by mounting the HySpex VNIR-1800 and SWIR-384 imaging spectrometers on a rotating stage at the southeast portion of the Cresson Pit. The distance from the imaging spectrometers to areas imaged on the opposite side of the pit ranged from approximately 300 to 1500 m. This resulted in a pixel size of 4.7 to 23.4 cm for the VNIR data and 22 to 110 cm for the SWIR data.
ASD FieldSpecⓇ NG spectra from each calibration site were spectrally averaged, converted to absolute reflectance, and convolved to the bandpass and sampling interval of the HySpex data. HySpex by NEO radiance spectra from regions of interest that encompassed the calibration sites were also spectrally averaged. Multipliers were generated by dividing the averaged and convolved ASD FieldSpecⓇ NG calibration site absolute reflectance data with the averaged HySpex radiance data encompassing the calibration sites. HySpex reflectance data cubes were generated by applying the multipliers to the HySpex radiance data cubes. The resultant reflectance cubes were then combined to create the reflectance mosaic. White mica wavelength position maps were generated using routines in the U.S. Geological Survey PRISM version1aq software suite (Kokaly, 2011).

Tags: big-bull-mountain, colorado, cripple-creek, cripple-creek-district-mine, cripple-creek-north, cripple-creek-south, economic-geology, front-range, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, hyperspectral-imaging, mineral-resources, mineral-resources-program, mineralogy, mrp, pikes-peak, remote-sensing, teller-county, united-states, usgs-629772f8d34ec53d276c0ca8
Organization: Department of the Interior
ASD FieldSpecⓇ NG calibration data - collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017

HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometer radiance data were acquired on September 14, 2017 at the Cresson Pit of the Cripple Creek &amp; Victor mine in Cripple Creek, Colorado. ASD FieldSpecⓇ NG data were collected on September 13 and 14, 2017 at two calibration sites within the Cresson Pit imaged with the HySpex by NEO imaging spectrometers. The HySpex by NEO VNIR-1800 imaging spectrometer is a push broom type instrument that utilizes 1800 pixels to collect 186 channels of spectral data in the region of 400 to 1000 nanometer (nm). The spectral sampling interval of the HySpex by NEO VNIR-1800 is 3.26 nm with a 17° field of view (Norsk Elektro Optikk AS, 2016b). The HySpex by NEO SWIR-384 imagining spectrometer is a push broom type instrument that utilizes 384 pixels to collect 288 channels of spectral data in the region of 930 to 2500 nm. The spectral sampling interval of the HySpex by NEO SWIR-384 is 5.45 nm with a 16° field of view (Norsk Elektro Optikk AS, 2016a). The ASD FieldSpec NG point spectrometer has a spectral range of 350 to 2500 nm, a spectral resolution of 3 nm @ 700 nm and 6 nm @ 1400/2100 nm, with a spectral sampling of 1.4 nm @ 350 to 1000 nm and 1.1 nm @ 1001 to 2500 nm. The ASD FieldSpecⓇ NG collects 2151 channels of spectral data within a 25° field of view (Malvern Panalytical, 2018).
Imaging spectrometer data were collected by mounting the HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometers on a rotating stage at the southeast portion of the Cresson Pit. The distance from the imaging spectrometers to areas imaged on the opposite side of the pit ranged from approximately 300 to 1500 m. This resulted in a pixel size of 4.7 to 23.4 cm for the VNIR data and 22 to 110 cm for the SWIR data.
ASD FieldSpecⓇ NG spectra from each calibration site were spectrally averaged, converted to absolute reflectance, and convolved to the bandpass and sampling interval of the HySpex by NEO data. HySpex by NEO radiance spectra from regions of interest that encompassed the calibration sites were also spectrally averaged. Multipliers were generated by dividing the averaged and convolved ASD FieldSpecⓇ NG calibration site absolute reflectance data with the averaged HySpex by NEO radiance data encompassing the calibration sites. HySpex by NEO reflectance data cubes were generated by applying the multipliers to the HySpex by NEO radiance data cubes. The resultant reflectance cubes were then combined to create the reflectance mosaic. White mica wavelength position maps were generated using routines in the U.S. Geological Survey PRISM version1aq software suite (Kokaly, 2011).

Tags: big-bull-mountain, colorado, cripple-creek, cripple-creek-district-mine, cripple-creek-north, cripple-creek-south, economic-geology, front-range, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, hyperspectral-imaging, mineral-resources, mineral-resources-program, mineralogy, mrp, pikes-peak, remote-sensing, teller-county, united-states, usgs-62977271d34ec53d276c0c90
Organization: Department of the Interior
Shapefile for slip tendency and dilation tendency calculated for Quaternary faults in the Great Basin

This database contains the results of slip tendency and dilation tendency analysis of Quaternary faults in the Great Basin region, including parts of Arizona, California, Idaho, Nevada, Oregon, Utah, and Wyoming. This effort was undertaken to help identify faults and fault segments that are appropriately oriented to be stress-loaded for slip or to dilate under the ambient stress conditions. Both conditions may make such faults likely to host as-yet-undiscovered hydrothermal processes. Slip tendency and dilation tendency were calculated for all fault segments in a publicly available fault database modified after the U.S. Geology Survey Quaternary Fault and Fold Database. This work was undertaken as part of the INGENIOUS (Innovative Geothermal Exploration through Novel Investigations of Undiscovered Systems) project funded by the U.S. Department of Energy Geothermal Technologies Office awarded to the University of Nevada, Reno. INGENIOUS is a multi-disciplinary, multi-institution effort to develop new methodologies and best practices to accelerate the discovery of new, commercially viable hydrothermal resources. This work was also supported by the U.S. Geological Survey Geothermal Resources Investigations Project (GRIP). This database contains the slip tendency and dilation tendency results, including the fault geometry and stress data used to calculate these quantities. The data are provided as shapefiles and KMZ files for both the Great Basin study area and the INGENIOUS study area.

Tags: dilation-tendency, fault, geothermal, hydrothermal, slip-tendency, stress, usgs-6296974dd34ec53d276bb33d
Organization: Department of the Interior
World Terrestrial Ecosystems (WTE) 2020

The World Terrestrial Ecosystems datalayer is a global raster dataset at a 250 m spatial resolution where 431 ecosystem types are identified and mapped. Each ecosystem type is a unique combination of vegetation/land cover, climate region, and landform. The data is available as attached file "USGSEsriTNCWorldTerrestrialEcosystems2020.mpkx" at https://doi.org/10.5066/P9DO61LP. The data are distributed in Esri map package format (USGSEsriTNCWorldTerrestrialEcosystems2020.mpkx) and can be used by any software that can process this format, sometimes requiring minor format adjustments.
NOTE:
This global dataset replaces the Terrestrial Ecosystems of the Conterminous United States, NGDAID4, https://data.usgs.gov/datacatalog/data/USGS:94fd91d2-5197-4950-b14a-2381c0f66ff1

Tags: biodiversity-and-ecosystems-theme, ecosystems, national-geospatial-data-asset, ngda, ngdaid198, usgs-6296791ed34ec53d276bb293
Organization: Department of the Interior
Data for analysis of open removal models with temporary emigration and population dynamics to inform invasive animal management

This data release includes the data and computer code that we produced to fit two open-robust design removal models developed to simultaneously model population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class integrated population model (IPM) that used prior information for age-structured vital rates and relative juvenile availability. To evaluate the effectiveness of management programs, we applied both models to a multi-year, removal trapping time-series data set of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida collected from 2016-1018. The data from these 3 sites as well as the code to run the models in program R are included.

Tags: biota, everglades, invasive-species, modeling, southern-florida, united-states, usgs-629664a4d34ec53d276bb20c, wildlife-population-management
Organization: Department of the Interior
Environmental Sampling of Per- and Polyfluoroalkyl Substances in the Middle Chickahominy River Watershed, Virginia, 2021-2022 (ver. 2.0, September 2023)

These data were collected to understand the occurrence of per- and polyfluoroalkyl substances (PFAS) in the middle Chickahominy River watershed. Specifically, this effort was initiated to: 
1. Determine concentrations of PFAS in surface water at select locations in the middle Chickahominy River watershed; 
2. Determine concentrations of PFAS in edible portions of fish at select locations in the middle Chickahominy River watershed; 
3. Determine concentrations of PFAS in bed sediment at select locations in the middle Chickahominy River watershed; and 
4. Quality Assure all data collected in accordance with USGS policies and publicly release those data as a citable USGS Data Series. 
These data are available in four Excel (.xlsx) files that contain water-quality and quality-assurance results. The Excel files are duplicated as tab-delimited text files to increase accessibility to nonproprietary formats. The files titled Middle_Chickahominy_Fish_Tissue_Results contain analytical results for PFAS in tissue samples collected from various fish species at different locations. The files titled Middle_Chickahominy_Sediment_Results contain analytical results for PFAS in sediments collected at four locations in the watershed. The files titled Middle_Chickahominy_Surface_Water_Results contain analytical results for PFAS in surface water collected at eleven locations in the watershed.
These files also contain associated field blanks, lab blanks, and replicates used for quality control. Lab blanks are used to assess contamination imparted by the analytical process. Field blanks were collected using certified analyte-free water at the sampling point and used to assess possible cross contamination from sampling materials and sampling technique in the field. Field replicates were collected concurrently with the environmental sample and used to understand the variability of results.  
The attached XML file titled Middle_Chickahominy_Metadata contains metadata explaining the provenance of the data and should be thoroughly read to understand data structure and limitations. The files titled Data_Dictionary may be used as a reference to explain codes, terms, and abbreviations used in these datasets. The files titled Ongoing_Precision_and_Recovery contain quality assurance samples reported by the lab which establishes additional confidence in results over time.

Tags: chickahominy-river, per-and-polyfluoroalkyl-substances, pfas, usgs-62965dfad34ec53d276bb1b3, virginia, water-quality
Organization: Department of the Interior
Aerial Imagery from Fixed-wing Aircraft System - Prime Hook National Wildlife Refuge, Delaware: 2020

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-629620f1d34ec53d276ba8ea
Organization: Department of the Interior
Pollen data from seven lakes in the Klamath Mountains, California: a case study for paleoecological reconstruction

The dataset include raw pollen counts, age model data, and pollen accumulation rates with uncertainty estimates for seven lake sites in the Klamath Mountains, California, USA. The raw pollen counts reflect the relative abundance of major taxa from the vegetation surrounding each lake site (n=7) at 5 different time periods. The age model data provides a Bayesian-based estimate of the sediment's age and the associated uncertainty where pollen samples were also collected and counted (~1850, 1880, 1930, 1970, 2018 AD). Lastly, the pollen accumulation rates dataset encompasses the pollen accumulation rates for each taxa at each time step across all lakes plus the cumulative uncertainty with each calculation, as estimated by a Monte Carlo approach. In sum, these underlying data allow for reproduction of key values (e.g. pollen accumulation rates) and provide a complete dataset for future research questions.

Tags: biota, pollen, usgs-62962019d34ec53d276ba8e4
Organization: Department of the Interior
Sediment budget data for Lees Ferry dune field, February-May 2019

These data were compiled to enable estimation of aeolian dune field sediment budgets calculated using remote sensing methods. The objective of the study was to evaluate sediment budgets calculated for the Lees Ferry dune field in Grand Canyon, Earth as a terrestrial analog for aeolian dune fields in Valles Marineris, Mars. These data represent digital elevation models (DEM) of the topography of the Lees Ferry dune field in February and May, 2019, respectively. These data were collected with an Uncrewed Aerial Vehicle (UAV) remote sensing survey conducted on February 28th and then repeated on May 2nd, 2019. The images acquired with the UAV surveys were processed with photogrammetric modelling to produce the DEMs. These data were collected and processed by Geoff Debenedetto (USGS Arizona Water Science Center) and further processed and analyzed by Joshua Caster and Joel B. Sankey (USGS Southwest Biological Science Center, Grand Canyon Monitoring and Research Center). These data can be used to investigate the topography of, and calculate and evaluate remote sensing sediment budgets of, the Lees Ferry dune field.

Tags: 10-cm-grid-cell, aeolian, analog, arizona, colorado-river, continuous-elevation-surface, data-release, dem, digital-elevation-models, dune, dune-field, elevation, eolian, geoscientificinformation, glen-canyon-national-recreation-area, grand-canyon, imagerybasemapsearthcover, in-situ, lees-ferry, photogrammetric-modeling, remote-sensing, sediment-budget, topographic-maps, topography, uav, unconsolidated-deposits, uncrewed-aerial-vehicle, united-states, usgs-6291031bd34ef70cdba45356, vermillion-cliffs-national-monument
Organization: Department of the Interior
Channel Cross Sections of the Nooksack River near North Cedarville, WA, 2017-2021

This data release contains channel cross sections of the Nooksack River near North Cedarville, WA, collected during routine streamgaging and discharge measurement efforts at USGS streamgage 12210700. All cross sections were collected using an acoustic doppler current profiler (ADCP) from the downstream side of the Highway 542 bridge. Raw ADCP measurement data were processed using a combination of WinRiver II and AreaComp2. The mean gage height during the measurement was used to convert ADCP depth measurements into elevations relative to the gage datum. The known offset between local gage datum and the North American Vertical Datum of 1988 (NAVD88) was further used to convert gage datum elevations to absolute elevations referenced to NAVD88. 
Cross section stationing is given as distance from the river-right most point of the ADCP transect. Water's edge points, based on noted distances from the edge of the ADCP surveys to the actual edge of water, are included for all cross sections. For ADCP measurements when global nation satellite system (GNSS) position was used,  each cross section point was associated with an approximate XY coordinate position, in Washington State Plane North US Survey Feet (NAD83 2011). 
These cross sections are not exactly aligned in either the cross-channel or along-channel direction. When GNSS data was collected during the ADCP measurements, the cross sections varied by up to 70 feet downstream of the Highway 542 bridge. Likewise, the 'zero' station simply reflects the river-right edge of the ADCP transect, which will necessarily change as a function of flows and details of vegetation and channel geometry near the bank. These cross sections are then primarily intended to qualitatively illustrate the extent of channel change at this site and are not intended for quantitative analysis of that change.

Tags: bathymetry-and-elevation, elevation, field-activity-logs, geoscientificinformation, inlandwaters, nooksack-river, north-cedarville, usgs-628fd37fd34ef70cdba41919, washington, whatcom-county
Organization: Department of the Interior