AndreaBozzo/ceres-open-data-index huggingface dataset:
Study Area Boundary Malakoff DIggins State Historic Park, California

One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation. The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic position index (TPI) was created using focal statistics to compare the elevations across the study area. We calculated a fine-scale TPI using a circular neighborhood with a radius of 25-meters and large-scale TPI using a circular neighborhood with a radius of 100-meters. In the resulting raster positive TPI values are assigned to cells with elevations higher than the surrounding area and negative TPI values are assigned to cells with elevations lower than the surrounding area. The geomorphic map was then created using a nested conditional statement to apply classification thresholds on the basis the fine and large-scale TPI rasters and a slope raster. Ten geomorphic feature classes were defined and the map can be symbolized by feature class. The geomorphic map includes both channel and hillslope features and can be used to assess erosional and depositional processes at the landscape scale.

Tags: digital-elevation-models, elevation, erosion, humbug-creek, malakoff-diggins-state-historic-park, placer-mine, sedimentation, usgs-59ea84c9e4b0026a55fd012d
Organization: Department of the Interior
1992 pruned digital surface model Malakoff Diggins State Historic Park, California

One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived aerial photographs. These datasets can be used to map vegetation and topographic change and to quantify volumetric differences and estimate erosion rates by co-referencing and differencing the 1992 DSM from more recent bare earth digital elevation models. Any direct volumetric comparison using these datasets should consider the horizontal and vertical minimum thresholds of significance as well as vegetation bias. The original DSM was derived using stereo photogrammetry and includes all vegetation components. To facilitate topographic change analysis a pruned DSM was created. The vegetation bias was removed from the pruned DSM using a ground cover classification. It is recommended that the pruned DSM be used for any topographic or volumetric change analysis.

Tags: aerial-photography, digital-elevation-models, elevation, erosion, humbug-creek, malakoff-diggins-state-historic-park, orthomosaic, photogrammetry, placer-mine, remote-sensing, sedimentation, usgs-59ea8668e4b0026a55fd0135
Organization: Department of the Interior
Digital map of water levels in 1980 for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming

This digital data set consists of contours for 1980 water-level
elevations for the High Plains aquifer in the central United
States.  The High Plains aquifer extends from south of 32
degrees to almost 44 degrees north latitude and from 96 degrees
30 minutes to 106 degrees west longitude.  The outcrop area
covers 174,000 square miles and is present in Colorado, Kansas,
Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and
Wyoming.
This digital data set was created by digitizing the 1980
water-level elevation contours from a 1:1,000,000-scale base map
created by the U.S. Geological Survey High Plains Regional
Aquifer Systems-Analysis (RASA) project (Gutentag, E.D., Heimes,
F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984,
Geohydrology of the High Plains aquifer in parts of Colorado,
Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and
Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63
p.)  The data are not intended for use at scales larger than
1:1,000,000.

Tags: aquifer-boundary, aquifers, environment, geoscientificinformation, great-plains-region, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, ogallala-aquifer, ogallala-formation, usgs-59eb7c77-8a89-4eb5-abb7-2bf5cc4aaaa7, western-u-s
Organization: Department of the Interior
Metabolism estimates for 356 U.S. rivers (2007-2017): 5. Model configurations

This dataset provides model specifications used to estimate metabolism. The format is a table with 1 row per model (1 tab-delimited file, compressed into zip file).
The specific format of this configuration file is arbitrary and specific to this analysis, and the format need not be replicated to use streamMetabolizer; however, this tabular format is useful because it allows for the reading by both humans and computers of (1) the combinations of sites and temporal resolutions for which models were run, (2) the timeseries data that were selected and combined to prepare the input to each model, and (3) the model specifications and parameters that were used in each model application.
This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, aerobic-respiration, ak, alaska, ar, arkansas, ca, california, carbon, carbon-dioxide, co, colorado, connecticut, ct, dc, de, delaware, dissolved-oxygen, district-of-columbia, energy-metabolism, environment, fl, florida, ga, gas-exchange, georgia, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maryland, massachusetts, md, mi, michigan, minnesota, missouri, mn, mo, nc, nd, ne, nebraska, new-jersey, new-mexico, new-york, nj, nm, north-carolina, north-dakota, ny, oh, ohio, ok, oklahoma, or, oregon, oxygen, pa, pennsylvania, photosynthesis, primary-production, rivers, sc, sd, south-carolina, south-dakota, streams, tennessee, texas, tn, tx, united-states, us, usgs-59eb9b86e4b0026a55ffe379, ut, utah, va, virginia, wa, washington, water-courses, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs

This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1 zip file per site).
This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, aerobic-respiration, ak, alaska, ar, arkansas, ca, california, carbon, carbon-dioxide, co, colorado, connecticut, ct, dc, de, delaware, dissolved-oxygen, district-of-columbia, energy-metabolism, environment, fl, florida, ga, gas-exchange, georgia, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maryland, massachusetts, md, mi, michigan, minnesota, missouri, mn, mo, nc, nd, ne, nebraska, new-jersey, new-mexico, new-york, nj, nm, north-carolina, north-dakota, ny, oh, ohio, ok, oklahoma, or, oregon, oxygen, pa, pennsylvania, photosynthesis, primary-production, rivers, sc, sd, south-carolina, south-dakota, streams, tennessee, texas, tn, tx, united-states, us, usgs-59eb9b9de4b0026a55ffe37c, ut, utah, va, virginia, wa, washington, water-courses, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Metabolism estimates for 356 U.S. rivers (2007-2017): 6. Model outputs

This dataset provides complete fits from metabolism estimation models. The format is 5 files per model (text and tab-delimited files, packaged as 1 zip file per model): (1) estimates of daily gross primary productivity (GPP), ecosystem respiration (ER), and the gas exchange coefficient (K600), (2) parameters for the model overall, (3) estimates of the nodes defining the piecewise line relating K600 to discharge, (4) parameters for the overall relationship between K600 and discharge, and (5) any warnings returned by the model.
This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, aerobic-respiration, ak, alaska, ar, arkansas, ca, california, carbon, carbon-dioxide, co, colorado, connecticut, ct, dc, de, delaware, dissolved-oxygen, district-of-columbia, energy-metabolism, environment, fl, florida, ga, gas-exchange, georgia, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maryland, massachusetts, md, mi, michigan, minnesota, missouri, mn, mo, nc, nd, ne, nebraska, new-jersey, new-mexico, new-york, nj, nm, north-carolina, north-dakota, ny, oh, ohio, ok, oklahoma, or, oregon, oxygen, pa, pennsylvania, photosynthesis, primary-production, rivers, sc, sd, south-carolina, south-dakota, streams, tennessee, texas, tn, tx, united-states, us, usgs-59eb9ba6e4b0026a55ffe37f, ut, utah, va, virginia, wa, washington, water-courses, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Metabolism estimates for 356 U.S. rivers (2007-2017): 7. Model diagnostics

This dataset provides key diagnostics and overall assessments of metabolism model performance. The format is a table with 1 row per model (1 tab-delimited file, compressed into zip file). See the accompanying publication for rationale for the choices of specific diagnostics.
This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, aerobic-respiration, ak, alaska, ar, arkansas, ca, california, carbon, carbon-dioxide, co, colorado, connecticut, ct, dc, de, delaware, dissolved-oxygen, district-of-columbia, energy-metabolism, environment, fl, florida, ga, gas-exchange, georgia, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maryland, massachusetts, md, mi, michigan, minnesota, missouri, mn, mo, nc, nd, ne, nebraska, new-jersey, new-mexico, new-york, nj, nm, north-carolina, north-dakota, ny, oh, ohio, ok, oklahoma, or, oregon, oxygen, pa, pennsylvania, photosynthesis, primary-production, rivers, sc, sd, south-carolina, south-dakota, streams, tennessee, texas, tn, tx, united-states, us, usgs-59eb9bafe4b0026a55ffe382, ut, utah, va, virginia, wa, washington, water-courses, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Metabolism estimates for 356 U.S. rivers (2007-2017): 8. Metabolism estimates and predictors

This dataset provides daily metabolism estimates and potential predictor variables to support further exploration. The format is a table with 1 row per site-date combination (1 tab-delimited file, compressed into a zip file).
This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.

Tags: 007, 012, aerobic-respiration, ak, alaska, ar, arkansas, ca, california, carbon, carbon-dioxide, co, colorado, connecticut, ct, dc, de, delaware, dissolved-oxygen, district-of-columbia, energy-metabolism, environment, fl, florida, ga, gas-exchange, georgia, ia, id, idaho, il, illinois, in, indiana, inlandwaters, iowa, kansas, kentucky, ks, ky, la, louisiana, ma, maryland, massachusetts, md, mi, michigan, minnesota, missouri, mn, mo, nc, nd, ne, nebraska, new-jersey, new-mexico, new-york, nj, nm, north-carolina, north-dakota, ny, oh, ohio, ok, oklahoma, or, oregon, oxygen, pa, pennsylvania, photosynthesis, primary-production, rivers, sc, sd, south-carolina, south-dakota, streams, tennessee, texas, tn, tx, united-states, us, usgs-59eb9c0ae4b0026a55ffe389, ut, utah, va, virginia, wa, washington, water-courses, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Imaging spectrometer reflectance data, mineral predominance map, and white mica wavelength position map, Nabesna Quadrangle, Alaska

Approximately 1,900 square kilometers of imagery were collected from July 14 to July 21, 2014 using a HyMap™ sensor (Cocks and others, 1998) mounted on a modified Piper Navajo aircraft. The survey area covered parts of the Wrangell and Nutzotin Mountains in the eastern Alaska Range near Nabesna, Alaska. The aircraft was flown at an altitude of approximately 5,050 meters (m) (3,480 m above the mean ground surface elevation of 1570 m) resulting in average ground spatial resolution of 6.7 m. HyMap measured reflected sunlight in 126 narrow channels that cover the wavelength region of 455 to 2,483 nanometers (nm). 
Data were delivered by the operators of the sensor (HyVista Corp., Australia) in units of radiance (Kokaly and others, 2017). Radiance data were converted to reflectance with procedures adapted from Kokaly and others (2013). They are described and documented in this data release.
Reflectance data from HyMap were processed using the Material Identification and Characterization Algorithm (MICA), a module of the USGS PRISM (Processing Routines in IDL for Spectroscopic Measurements) software (Kokaly, 2011), programmed in Interactive Data Language (IDL; Harris Geospatial Solutions, Broomfield, Colorado). MICA identifies the spectrally predominant mineral(s) in each pixel of imaging spectrometer data by comparing continuum-removed spectral features in the pixel’s reflectance spectrum to continuum-removed absorption features in reference spectra of minerals, vegetation, water, and other materials. For each pixel, the reference spectrum with the highest fit value identifies the predominant mineral class.
A map of the wavelength position of the white mica 2,200 nm Al-OH absorption feature, elsewhere referred to more concisely as white mica, was also compiled. White mica wavelength position was computed for each pixel with spectrally predominant muscovite or illite. The computation was made using a function of the USGS PRISM software (Kokaly, 2011). The white mica wavelength values were output as a classification image, with classes in 1 nm increments.
Each of these three datasets (reflectance, mineral predominance, and white mica wavelength position) are documented and described as part of this U.S. Geological Survey data release.

Tags: alaska, alaska-range, bond-creek, canada, economy, envi, environment-for-visualizing-images, geoscientificinformation, hymap, hyperspectral-imaging, imagerybasemapsearthcover, imaging-spectroscopy, infrared-imaging, mineral-resources, mineral-resources-program, mineralogy, mrp, nabesna, nabesna-a-2-quadrangle, nabesna-a-4-quadrangle, nabesna-b-4-quadrangle, nikonda-creek, nutzotin-mountains, orange-hill, remote-sensing, shortwave-infrared, spectroscopy, swir, usgs-59ee0e3fe4b0220bbd97597b, valdez-cordova, visible-near-infrared, vnir, wrangell-mountains, wrangellsaint-elias-national-preserve, yukon-territory
Organization: Department of the Interior
Spatial water-quality data for John Redmond Reservoir, Coffey County, Kansas, October 7, 2014, August 13, 2015, and April 25, 2016

This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from John Redmond Reservoir in Coffey County, Kansas, on October 7, 2014, August 13, 2015, and April 25, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, dissolved oxygen, chlorophyll, phycocyanin, and nitrate at thirty-second intervals.

Tags: chlorophyll, coffey-county, continuously-measured, dissolved-oxygen, john-redmond-reservoir, kansas, monitor, nitrate, ph, phycocyanin, sensor, specific-conductance, turbidity, united-states, usgs-59f87610e4b063d5d309df83, water-temperature
Organization: Department of the Interior
Data - Removing roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011

To better map the urban class and understand how urban lands change over time, we removed rural roads and small patches of rural development from the NLCD developed class and created four wall-to-wall maps (1992, 2001, 2006, and 2011) of urban land. Removing rural roads from the NLCD developed class involved a multi-step filtering process, data fusion using geospatial road and developed land data, and manual editing. Reference data classified as urban or not urban from a stratified random sample was used to assess the accuracy of the 2001 and 2006 urban and NLCD maps. The newly created urban maps had higher overall accuracy (98.7%) than the NLCD maps (96.2%). More importantly, the urban maps resulted in lower commission error of the urban class (23% versus 57% for the NLCD in 2006) with the trade-off of slightly inflated omission error (20% for the urban map, 16% for NLCD in 2006). The removal of approximately 230,000 km2 of rural roads from the NLCD developed class resulted in maps that better characterize the urban footprint. These urban maps are more suited to modeling applications and policy decisions that rely on quantitative and spatially explicit information regarding urban lands. Digital maps of urban land in the United States for 1992, 2001, 2006, and 2011 are available (at a 30-m pixel resolution) as four compressed 2-bit IMG files. The map year is reflected in the file name.

Tags: cities, imagerybasemapsearthcover, land-use-change, populated-places, structure, transportation, united-states, urban, usa, usgs-59ee2ea2e4b0220bbd975a5e
Organization: Department of the Interior
A Wideband data from the manuscript: Magnetoresistive Sensor for Monitoring Dynamic Fault Slip in Laboratory Fault Friction Experiments

These data are the basis of the figures in the manuscript "A Wideband magnetoresistive sensor for monitoring dynamic fault slip in laboratory fault friction experiments". That report was the result of an investigation of a non-contact, wideband method of sensing dynamic fault slip in laboratory geophysical experiments which employs an inexpensive magnetoresistive sensor, a small neodymium rare earth magnet, and user built application specific wideband signal conditioning electronics. The magnetoresistive sensor generates a voltage proportional to the changing angles of magnetic flux lines, generated by differential motion or rotation of the near-by magnet, through the sensor. The performance of an array of these sensors compares favorably to other conventional position sensing methods employed at multiple locations along a 2m long x 0.4m deep laboratory strike-slip fault. For these magnetoresistive sensors, the lack of resonance signals commonly encountered with cantilever-type position sensor mounting, the wide band response (DC to ≈ 100 kHz) that exceeds the capabilities of many traditional position sensors, and the small foot print on the sample, make them attractive options for capturing high speed fault slip measurements in these laboratory experiments. An unanticipated observation of this study is the apparent sensitivity of this sensor to high frequency electomagnetic signals associated with fault rupture and/or rupture propagation, which may offer new insights into the physics of earthquake faulting.

Tags: fracture-geologic, seismic-methods, usgs-59ee31bbe4b0220bbd975a69
Organization: Department of the Interior