AndreaBozzo/ceres-open-data-index huggingface dataset:
Geology and geomorphology--Offshore of Tomales Point Map Area, California

This part of DS 781 presents data for the geologic and geomorphic map of the Offshore of Tomales Point map area, California. The vector data file is included in "Geology_OffshoreTomalesPoint.zip," which is accessible from https://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Golden, N.E., Hartwell, S.R., Greene, H.G., Erdey, M.D., Cochrane, G.R., Watt, J.T., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Krigsman, L.M., Sliter, R.W., Lowe, E.N., and Chin, J.L. (S.Y. Johnson and S.A. Cochran, eds.), 2015, California State Waters Map Series—Offshore of Tomales Point, California: U.S. Geological Survey Open-File Report 2015–1088, pamphlet 38 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151088.
Marine geology and geomorphology was mapped in the Offshore of Tomales Point map area, California, from approximate Mean High Water (MHW) to the 3-nautical-mile limit of California's State Waters. Offshore geologic units were delineated on the basis of integrated analyses of adjacent onshore geology with multibeam bathymetry and backscatter imagery, seafloor-sediment and rock samples, digital camera and video imagery, and high-resolution seismic-reflection profiles.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, continental-island-shelf, environment, geologic-mapping, geologic-maps, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, maps-and-atlases, marin-county, marine-geology, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california-ecoregion, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, rock-substrate, sea-floor-characteristics, seabed, state-of-california, tomales-bay, tomales-point, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-5ed82a65-adc4-4e8a-8750-93d708ad061b
Organization: Department of the Interior
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Shrub Products for the Western U.S., 1985 - 2018

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-yr period, shrub cover declined and bare ground increased. While few pixels had &gt;10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and respond negatively to warming WYTMAX because the largest increases in WYTMAX are in the warmest and driest areas. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, northern-mountainous, nv, or, oregon, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, texas, three-forks, time-series, trends, tx, united-states, usgs-5ed816eb82ce7e579c67004a, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Sagebrush Products for the Western U.S., 1985 - 2018

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-yr period, shrub cover declined and bare ground increased. While few pixels had &gt;10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and respond negatively to warming WYTMAX because the largest increases in WYTMAX are in the warmest and driest areas. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, northern-mountainous, nv, or, oregon, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, texas, three-forks, time-series, trends, tx, united-states, usgs-5ed816df82ce7e579c670048, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Beetle Frass Production

These data include frass production estimates from three ambrosia beetle species. Frass was collected from individual ambrosia beetle galleries in Rapid 'Ōhiʻa Death-infected ʻōhiʻa trees (Metrosideros polymorpha) from 2018-2019. Frass is defined as fine particles of macerated wood or boring dust, beetle parts, and feces.

Tags: ambrosia-beetle, biota, frass, hawaii, hawaii-island, rapid-hia-death, usgs-5f12236a82ce21d4c409d3bc
Organization: Department of the Interior
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Litter Products for the Western U.S., 1985 - 2018

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-yr period, shrub cover declined and bare ground increased. While few pixels had &gt;10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and respond negatively to warming WYTMAX because the largest increases in WYTMAX are in the warmest and driest areas. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, northern-mountainous, nv, or, oregon, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, texas, three-forks, time-series, trends, tx, united-states, usgs-5ed816cf82ce7e579c670046, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Herbaceous Products for the Western U.S., 1985 - 2018

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-yr period, shrub cover declined and bare ground increased. While few pixels had &gt;10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and respond negatively to warming WYTMAX because the largest increases in WYTMAX are in the warmest and driest areas. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, northern-mountainous, nv, or, oregon, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, texas, three-forks, time-series, trends, tx, united-states, usgs-5ed816c182ce7e579c67003f, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Bare Ground Products for the Western U.S., 1985 - 2018

The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-yr period, shrub cover declined and bare ground increased. While few pixels had &gt;10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and respond negatively to warming WYTMAX because the largest increases in WYTMAX are in the warmest and driest areas. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, middle-rockies, montana, mt, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, northern-mountainous, nv, or, oregon, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sonoran-desert, south-dakota, southwest-tablelands, terrestrial-ecosystems, texas, three-forks, time-series, trends, tx, united-states, usgs-5ed816ab82ce7e579c67003d, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, yellowstone
Organization: Department of the Interior
Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank correlation with the associated highway-runoff variables. This data release also documents statistics for estimating the minimum irreducible concentration (MIC), which is the lowest expected effluent concentration from a BMP site or a class of BMPs. These statistics are different from the statistics commonly used to characterize or compare BMPs. They are designed to provide a stochastic transfer function to approximate the quantity, duration, and quality of BMP effluent given the associated inflow values for a population of storm events. In SELDM, BMP performance is the result of random combinations of variables documented in this report and the interplay among the selected distributions and correlations to inflow variables. Granato (2014) and Granato and others (2020) describe the methods used to calculate these statistics and provide summary statistics for these variables. This data release provides the individual at-site statistics. The statistics were calculated by using data extracted from a modified copy of the December 2019 version of International Stormwater Best Management Practices Database. Sufficient data were available to estimate statistics for 8 to 12 BMP categories by using data from 44 to more than 265 monitoring sites. Water-quality treatment statistics, including trapezoidal ratios and MIC values were developed for 51 runoff-quality constituents commonly measured in highway and urban runoff studies.

Tags: best-management-practice-bmp, environment, event-mean-concentration, federal-highway-administration, highway-runoff, inlandwaters, runoff, seldm, stochastic-empirical-loading-and-dilution-model, stormwater, transportation, usgs-5ed7e9c282ce7e579c66ee20
Organization: Department of the Interior
Chemistry of water, stream sediment, wildfire ash, soil, dust, and mine waste for Fourmile Creek Watershed, Colorado, 2010-2019

In response to the 2010 Fourmile Canyon fire near Boulder, Colorado, the U.S. Geological Survey collected data to support investigations into the magnitude and critical drivers of water-quality impairment after wildfire. We analyzed chemistry of stream water, sediment, wildfire ash, soil, dust, and mine waste for metals and other parameters in order to evaluate the effects of legacy mining and wildfire on stream chemistry in the Colorado Front Range, USA. This data release includes data that were published earlier (McCleskey et al., 2012; Murphy et al., 2018).

Tags: arsenic, chemical-contaminants, disturbance, mining, usgs-5ed9ad2182ce7e579c693856, water-quality, wildfire
Organization: Department of the Interior
Aquifer Boundaries within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood

The U.S. Geological Survey (USGS) is providing a polygon feature class containing the approximate locations and confining units of the unconfined and confined aquifers within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.

Tags: broome-county, conklin, geology, glacial, groundwater, hydrogeology, kirkwood, new-york, susquehanna-river, united-states, usgs-5ed7d1cd82ce7e579c66e3a8
Organization: Department of the Interior
Depth-dependent temperature and thermal conductivity Fredericktown, Missouri, June 2018

From June 25 to June 28, 2018, the U.S. Environmental Protection Agency (EPA) collected temperature measurements to help evaluate the thermal properties at two locations along the shoreline of  City Lake in Fredericktown, MO.  The in-situ temperature of surface water and saturated sediments was monitored to support calculations of seepage flux. Temperature measurements Celsius were collected every 30 minutes at depths of 0.04, 0.15,0.30,0.61, and 0.91 m below the water bottom.  The thermal conductivity of saturated sediments was also measured.

Tags: environment, forward-looking-infrared-flir-imagery, geophysics, geoscientificinformation, groundwater, thermal-imaging, usgs-5ed71a9a82ce7e579c649a9f
Organization: Department of the Interior
Nitrogen, phosphorus, and suspended-sediment loads and trends measured at the Chesapeake Bay River Input Monitoring stations: Water years 1985-2019

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on  Time, Discharge, and Season).  The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.  To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge.  The trend in load is derived from the flow-normalized load timeseries and represents the change in load resulting from changes in sources, delays associated with storage or transport of historical inputs, and (or) implemented management actions.  Four data tables are provided that describe nitrogen, phosphorus, and suspended-sediment conditions across the RIM: (1) Annual Loads, (2) Monthly Loads, (3) Trends in Annual Loads, and (4) Average Yield (mass per unit area).  Additionally, essential WRTDS Input and Output files are provided.

Tags: chesapeake-bay-watershed, delaware, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-5ed6bcd882ce7e579c6499ea, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds
Organization: Department of the Interior