XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019
This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China
Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
View east toward flood-damaged travertine pools below Havasu Falls, Havasu Creek, Cataract Canyon.
View north toward basalt dike (photograph EI10) in Hakatai Shale, Unkar Group, on north side of river mile 77.2, at beginning of Hance Rapids. Shinumo Sandstone forms cliff at upper edge of photograph.
This dataset contains monthly crop irrigation requirement (CIR) values from March 1940 through 2014 for the 20 virtual land-use units, including the seven canal service units, in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). CIR values are presented in units of feet per day.
Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico
This point vector dataset represents 10 climate stations used for analysis of annual and seasonal precipitation, analysis of monthly measured reference evapotranspiration, and comparison of simulated potential evapotranspiration with measured reference evapotranspiration within the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.
Microbial Source Tracking Marker Concentrations in the Chattahoochee River National Recreation Area Watershed in 2015-2017, Georgia, USA
The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16.
Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon
The files consist of two types: tabulated data files and graphical map files. Data files consist of six .csv files, representing six experiment dates (2016_06_14, 2016_16_15, 2016_18_15, 2016_16_21, 2016_16_22, 2016_16_23). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of six .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Adam Technology.
Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interface of subduction zones host our largest earthquakes, and are the only faults capable of M9+ ruptures. Despite these facts, our knowledge of subduction zone geometry - which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes - is incomplete. Here we calculate the three- dimensional geometries of all active global subduction zones. The resulting model - Slab2 - provides for the first time a comprehensive geometrical analysis of all known slabs in unprecedented detail.
View east and upriver toward Unkar Group of rocks, Cardenas Basalt sill (black), Bass Formation (light gray), Hakatai Shale (red), unconformably below overlying Cambrian Tapeats Sandstone, from south side of river mile 134.8.
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas
This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160,000 liters) of water.
SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Pacific Region of the United States, 2012 Base Year (ver 1.1, June 2020)
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
LiDAR and paleoseismology solve 140-yr old earthquake mystery in the Pacific Northwest USA - source tabular data and images for 1872 Chelan earthquake fault scarp study
This dataset contains LiDAR DEMs, magnetic field images and data, radiocarbon results, tree ring counts, and fault scarp trench logs.
Reproductive ecology data for female Agassiz's desert tortoises (Gopherus agassizii) in Joshua Tree National Park, USA
These data were compiled to evaluate the reproductive ecology of Agassiz's desert tortoises (Gopherus agassizzi) in the Sonoran Desert of California using two populations within Joshua Tree National Park, including five reproductive seasons that spanned 20 years (1997-1999, 2015-2016). Compared to their conspecifics inhabiting the Mojave Desert, the reproductive ecology of G. agassizii in the Sonoran Desert is understudied. Climatic variation between the two deserts can affect reproductive ecology, including fecundity and clutch phenology. Mature female tortoises (straight-line carapace length ≥ 20 cm) outfitted with radiotransmitters were located and X-radiographed approximately every 10-14 days during the reproductive...
Field measurements of water column optical properties from the Kootenai River in northern Idaho, September 26-27, 2017, and similar data from several other rivers
Field measurements of various optical properties of the water column were acquired from a single location on the Kootenai River in northern Idaho, September 26-27, 2017, to support research on remote sensing of rivers, particularly estimation of water depth from passive optical image data. The field measurements included in this data release include several parameters measured with three different instruments. A WetLabs EcoTriplet multi-probe was used to measure the volume scattering coefficient (Beta) at 700 nm, the back-scattering coefficient (b_b) at 700 nm, chlorophyll concentration, colored dissolved organic matter (CDOM) concentration, and turbidity. A Sequoia Scientific LISST-100X was used to measure the...
Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA
Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
Nearshore Water Quality Collected on Lake Erie on June 24, 2015, August 11, 2015, and August 19, 2015
This data release supports the following publication: Hittle, Elizabeth, 2017, Longshore water-current velocity and the potential for transport of contaminants: A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206 126 p., https://doi.org/10.3133/ofr20161206 Water-quality grab samples were collected about a meter from shore and coincide with the 25 longshore water-current velocity transects as closely as conditions would allow. Nearshore water-quality grab samples were collected on June 24, August 11, and August 19, 2015. Samples were analyzed for bacteria concentration, temperature, specific condictivity,...
Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. Bed material sampling was conducted to obtain information on the particle-size distributions of the streambed materials and to determine the shapes of the individual particles comprising the streambeds. Information on stream-bed particle-size distribution was used to compute the potential rate of bed-load transport and is a parameter used in the Rosgen (Rosgen, 1996) stream reach classification system. Streambed-material particle sizes were measured using two methods. The first method was Wolman pebble counts conducted across the riffles...
Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim
wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...