AndreaBozzo/ceres-open-data-index huggingface dataset:
Water pressure/depth, velocity, and turbidity time-series data from CHC16 Tidal creek stations in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp-state-park, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, current-meters, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, shallow-water-habitat, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58af775fe4b01ccd54f9f5f3, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
2005_Glacier margins derived from 2005 NAIP imagery for the named glaciers of Glacier National Park, MT and environs

These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2005 NAIP imagery. The polygons represent only the main body portion of each glacier as it appeared in 2005 NAIP imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from NAIP imagery acquired on the following source dates: 20050731, 20050826, 20050827. Initial digitization was completed by Kristina A Dick, Portland State University graduate student. This set of polygons represents revisions based on supplemental imagery (oblique images in USGS collection, GoogleEarth collection), and local knowledge and interpretation by Dan Fagre and Lisa McKeon (USGS) in February - August, 2016. A Wacom Pro digital tablet was used by USGS staff to digitize outlines and make revisions to the PSU margins.  Glaciers were digitized at 1:2000 scale. Since multiple images in time series contribute to this analysis, if previous image showed perennial snow that was absent from the glacier (bedrock visible), then that portion was deemed "seasonal/perennial snow" in subsequent photos and not included in the digitization of 2005 glacier margins.

Tags: 2005-naip-imagery, alpine-glacier, cryosphere, environment, flathead-national-forest, geoscientificinformation, glacier, glacier-area, glacier-national-park, glacier-retreat, montana, snow-and-ice-cover, usgs-58af76bce4b01ccd54f9f5ea
Organization: Department of the Interior
Declustered catalog of natural and induced earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the declustered catalog of natural and induced earthquakes without duplicates, restricted to magnitudes greater than or equal to 2.5.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-58afd512e4b01ccd54fb2587, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
1998_Glacier margins derived from 1998 aerial imagery for the named glaciers of Glacier National Park, MT and environs

These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and the 2 glaciers along the border of GNP derived from aerial images acquired on September 11, 12, 14, 15, 1998. The polygons represent only the main body portion of the glacier as they appeared in the 1998 imagery. Disconnected patches are not included as this dataset represents only the main body features. Polygons were digitized from orthorectified aerial images with initial digitization completed in 2001 by Michelle Manly, University of North Dakota graduate student. This set of polygons represents a thorough review with revisions to the initial dataset based on local knowledge and improved satellite imagery acquired in 2015. In several cases, the much higher resolution 2015 imagery revealed features, such as debris covered ice, where 1998 image analysis had deemed bedrock and actual margins had to be re-evaluated. A Wacom Pro digital tablet was used by USGS staff to trace outlines and make revisions to the original margins. Glaciers were digitized at 1:2000 scale. Since multiple images in time series contribute to this analysis, if previous image showed perennial snow that was absent from the glacier (bedrock visible), then that portion was deemed "seasonal/perennial snow" in subsequent photos and not included in the digitization of 1998 glacier margins.

Tags: 1998-aerial-imagery, alpine-glacier, cryosphere, environment, flathead-county, geoscientificinformation, glac, glacier, glacier-area, glacier-county, glacier-national-park, glacier-retreat, margin, montana, national-park-service, north-america, nps, snow-and-ice-cover, united-states, usgs-58af765ce4b01ccd54f9f5e7
Organization: Department of the Interior
Water pressure/depth and turbidity time-series data from CHC16 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, shallow-water-habitat, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58af7624e4b01ccd54f9f5e3, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
1966_Glacier margins derived from USGS 1966 topographic maps for the named glaciers of Glacier National Park, MT and environs

The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows that seasonal snow was present at some of the glaciers, limiting the ability of the 1966-1968 cartographers to see and map the glacier ice margins. This resulted in some smoothed and generalized outlines of the glaciers where the cartographers were likely guessing where the ice margins were under the snow. In addition, some photographs show exposed glacier margin ice with irregular patterns that are not represented by the mapped ice margin. It appeared that the original cartographers used a more generalized outline for the glaciers and were not concerned with small scale ice features even when they were evident in the photographs. Despite the generalized nature of the glacier outlines, which were also limited by mapping technology and standards of the time, the dataset represents the baseline for the glacier margins derived from aerial photography. In several cases, because of the generalized nature of the 1966-1968 mapping, a glacier perimeter did not seem as if it reflected likely location in the basin topography. In these cases the original USGS aerial imagery was referred to for verification and revision if the error seemed significant. Specifics of margin revision are detailed in attribute files for those glaciers that warranted change as part of the time series analysis conducted by Dan Fagre and Lisa McKeon (USGS) in February - August, 2016. For each glacier, determination of what constituted the "main body" was made in accordance with USGS criteria outlined in Supplemental Information section of the xml file and some disconnected patches were eliminated in the interest of keeping this analysis strictly to glacier main bodies.

Tags: 1966, 1966-usgs-aerial-imagery, alpine-glacier, cryosphere, environment, flathead-county, geoscientificinformation, glac, glacier, glacier-area, glacier-county, glacier-national-park, glacier-retreat, margin, montana, national-park-service, north-america, nps, snow-and-ice-cover, united-states, usgs-58af7532e4b01ccd54f9f5d3
Organization: Department of the Interior
Water pressure/depth, velocity, and turbidity time-series data from CHC16 Bay shallows stations in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp-state-park, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, current-meters, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, shallow-water-habitat, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58af74fae4b01ccd54f9f5cf, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
Geospatial files associated with the delineation and characterization of surface-moisture zones in the vicinity of mapped springs in Harney County, Oregon, 2017

This data collection includes spatial and tabular datasets related to the delineation and characterization of surface moisture zones (SMZs) in the vicinity of springs mapped in the National Hydrography Dataset (NHD) in southeastern Oregon using time-series analysis of Normalized Difference Vegetation Index (NDVI) data derived from Landsat Thematic Mapper 5 imagery from 1985-2011. The study area is within and adjacent to the Steens Mountain Cooperative Management and Protection Area (CMPA), which is a protected area of approximately 1,732 km2 managed by the Bureau of Land Management (BLM) in Harney County, Oregon. Within or adjacent to the Steens Mountain CMPA, approximately 1,100 springs are mapped in the NHD, however very little hydrologic data exists for these springs. Data in this data release were produced using a set of scripts written in the R programming language, which are also included in this data release (see ‘larger works citation’ to access R scripts and associated metadata). These data processing scripts, data products, and associated metadata provide documentation for a novel remote-sensing based approach to assess the potential resilience of spring-dependent ecosystems to inter-annual changes in water availability. This approach uses time-series analysis of NDVI to (1) delineate SMZs in the vicinity of mapped springs in a semi-arid sage-steppe landscape, (2) derive quantitative indicators of the relative resilience of these SMZs to inter-annual changes in water availability, and (3) synthesize these indicators into an overall resilience score for each cluster of springs. Specifically, for 39 spring clusters in Harney County, Oregon, USA, these scripts process Landsat-derived NDVI and precipitation data from 1985-2011 to derive 7 potential indicators of SMZ resilience to water-cycle changes. For detailed information on the resilience indicators, including their conceptual basis, methods of calculation, and interpretation, see Cartwright and Johnson (2018) and the R scripts and their associated metadata in this data release.
References: Cartwright and Johnson (2018), Springs as hydrologic refugia in a changing climate? A remote sensing approach. Ecosphere X(X).

Tags: biota, climatologymeteorologyatmosphere, environment, groundwater-dependent-ecosystems, image-collections, inlandwaters, multispectral-imaging, normalized-difference-vegetation-index, oregon, springs-hydrographic, steens-mountain, usgs-58af5ecbe4b01ccd54f9f464
Organization: Department of the Interior
Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, Arizona, 2014 - 2016—Data

This dataset contains information on the physical traits and environmental tolerances of plant species occurring along the lower Colorado River through Grand Canyon. Due to the unique combination of plant species within the Grand Canyon, this flora shares species with many riparian areas in the western U.S.A. and represents obligate wetland to obligate upland plant species. Data for the matrix were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Categorical, ordinal, and continuous data are included in this dataset. This dataset does not contain sensitive or classified data.

Tags: arizona, coconino-county, colorado-river, ecological-tolerances, ecology, freshwater-ecosystems, functional-traits, grand-canyon-national-park, lees-ferry, mohave-county, riparian-plant-species, southwestern-united-states, united-states, usgs-58af41dee4b01ccd54f9f2ff, vascular-plants
Organization: Department of the Interior
Groundwater discharge areas for the 14 hydrographic areas in the middle Humboldt River Basin, north-central Nevada

This data set contains polygons representing the groundwater discharge areas for the 14 hydrographic areas in the middle Humboldt River Basin, north-central Nevada.

Tags: antelope-valley, biota, boulder-flat, carico-lake-valley, climatologymeteorologyatmosphere, clovers-area, crescent-valley, discharge, et, et-unit, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, humboldt-river-basin, humboldt-river-region, inlandwaters, kelly-creek-area, lower-reese-river-valley, middle-reese-river-valley, nevada, phreatophyte, pine-valley, pumpernickel-valley, rock-creek-valley, transpiration, upper-reese-river-valley, usgs-58af306ae4b01ccd54f9efd8, whirlwind-valley, willow-creek-valley
Organization: Department of the Interior
Carbonate geochemistry dataset of the soil and an underlying cave in the Ozark Plateaus, central United States

The nature of carbon (C) cycling in the vadose zone where groundwater is in contact with abundant gas-filled voids is poorly understood. The objective of this study was to trace C cycling in a karst landscape using stable-C isotopes, with emphasis on a shallow groundwater flow path through the soil, to an underlying cave, and to the spring outlet of a cave stream in the Ozark Plateaus of northwestern Arkansas. Blowing Spring Cave (BSC) occurs in the Springfield Plateau of the Ozark Plateaus. The cave passage is relatively horizontal, the entrance to BSC is a spring outlet, and no other human-sized entrances into the cave are known to occur. Soils generally are less than 2 to 3 meters thick above the cave and dominated by the Clarksville soil series (loamy-skeletal, siliceous, semiactive, mesic Typic Paleudults). Gas samples for carbon dioxide (CO₂) concentration and isotopic composition (δ¹³C-CO₂) and water samples for dissolved inorganic carbon (DIC) concentration and isotopic composition (δ¹³C-DIC) were collected from two suction-cup soil samplers above the cave (L1 and L2) and from within the cave. Cave-sampling locations included a drip-water pool fed by a waterfall in a side-passage of the cave (BS06), two locations along the main passage of the cave stream (BS07 and BS03), and at the spring outlet of the cave stream (BS01). Preliminary, intermittent sampling began in June 2011 and regular, bi-monthly sampling continued from March 2012 to May 2013, including storm-event sampling during high-flow conditions when discharge generally exceeded 0.5 cubic meters per second. This dataset includes inorganic carbon species concentrations and isotopic compositions (CO₂, δ¹³C-CO₂, DIC, δ¹³C-DIC, bicarbonate, carbonate, carbonic acid, and aqueous CO₂), physical water parameters (pH, specific conductance, temperature), calcium, calcite saturation, and stable C isotope equilibrium values (∆DIC-CO₂, εDIC-CO₂(g)) for samples collected at the BSC study site. For a complete description of sampling methods, laboratory analysis, and data analysis, see: Knierim, K.J., 2015. Stable Isotopes as a Tool to Characterize Carbon Cycling and Develop Hydrologic Budgets in Mantled Karst Settings (Dissertation). University of Arkansas, Fayetteville, Arkansas.

Tags: arkansas, cave, environment, karst, ozark, stable-carbon-isotopes, usgs-58af22ede4b01ccd54f9ef90
Organization: Department of the Interior
Modeled 2030 land cover for the Northern Glaciated Plains ecoregion

The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030.  The modeling used parcel data from the USDA's Common Land Unit (CLU) data set to represent real, contiguous ownership and land management units. A Monte Carlo approach was used to create 50 unique replicates of potential landscape conditions in the future, based on a agricultural scenario from the U.S. Department of Energy's Billion Ton Update. The data are spatially explicit, covering the entire Northern Glaciated Plains ecoregions (an EPA Level III ecoregion), with a spatial resolution of 30-meters and 22 unique land-cover classes (including common crop types in the region). Files included are 1) the starting land cover data set for 2012, 2) 50 Monte Carlo replicates of 2030 land cover, and 3) supporting metadata.
data represent 50 individual Monte Carlo runs for the 2012 to 2030 biofuel scenario in the Northern Glaciated Plains ecoregion,

Tags: fore-sce, future, great-plains, land-cover, minnesota, model, north-dakota, northern-glaciated-plains-ecoregion, parcel, projection, scenario, south-dakota, united-states, usgs, usgs-58af1409e4b01ccd54f9ef40
Organization: Department of the Interior