Data and Tools
Science Datasets
Science Datasets
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
Surface-Water Model Archive for Delineation of Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This zipped folder contains all relevant files to document and run the Hydrological Engineering Center-River Analysis System (HEC-RAS) one dimensional hydraulic model used to simulate flood inundation extents in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Specifically: 1) model-software-version.txt (file) Identifies the modeling software version and website
Geospatial Data, Tabular Data, and Surface-Water Model Archive for Delineation of Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This U.S. Geological Survey data release consists of a polygon geospatial dataset representing estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park, and the data acquired and processed to support the delineation of those areas. Supporting datasets include topographic survey data collected by global navigation satellite system (GNSS) and t
Idealized Antecedent Topography Sensitivity Study: Initial Baseline and Modified Profiles Modeled with XBeach
Antecedent topography is an important aspect of coastal morphology when studying and forecasting coastal change hazards. The uncertainty in morphologic response of storm-impact models and their use in short-term hazard forecasting and decadal forecasting is important to account for when considering a coupled model framework. Mickey and others (2020) provided a methodology to investigate uncer...
Water temperature data from the Priest River, Idaho, 2018-2019
Water temperature data were collected in summer 2018 and 2019. Temperature data loggers were deployed in tributary confluences and the mainstem of the lower Priest River between Priest Lake Outlet Dam and the confluence with the Pend Oreille River. Data loggers were checked every 2 to 3 weeks throughout the summer. Data for Lagrangian longitudinal thermal profiles were obtained on August 21,...
Pebble Count Data for Delineation of Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This comma-separated values (CSV) file includes the results of five Wohlman-style pebble counts (Wolman, 1954), collected in Grapevine Canyon near Scotty's Castle, Death Valley National Park, on March 2, 2017. Pebble counts were performed to determine the size of channel bed particles and evaluate channel roughness to be input into a one-dimensional hydraulic model.
Static Reference Points for a Terrestrial Laser Scanner Survey in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This point shapefile represents four static reference locations collected by single-baseline Online Positioning User Service – Static (OPUS-S) global navigations satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Surveys were completed at three Federal Highway Administration benchmarks (FHWA) and
Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This polygon shapefile represents estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Estimates of the 4, 2, 1, 0.5, and 0.2 percent annual exceedance probability (AEP) flood streamflows (previously known as the 25, 50, 100, 250, and 500-year floods) were computed from regional flood regression equations. The estimated
Scan Origins for a Terrestrial Laser Scanner Survey in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This point shapefile represents 38 terrestrial laser scanner (TLS) survey scan locations collected by single-base real-time kinematic (RTK) global navigation satellite system (GNSS) surveys in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by two Topcon GR-3 GNSS receivers at one-second intervals for three minutes
Greater Sage-grouse Nest Site Source-Sink, Nevada and California 2019
Ranked index of model-projected nest site selection integrated with nesting productivity (i.e., nest survival), demonstrating the spatial distribution of adaptive vs. maladaptive habitat selection at each 30 m pixel. Hierarchical models of nest selection and survival were fit to landscape covariates within a Bayesian modeling framework in Nevada and California from 2009 through 2017 to de
Point Cloud Data from a Terrestrial Laser Scanner Survey in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This zip file contains 42 LAZ point cloud files surveyed by terrestrial laser scanner (TLS) from 38 locations in Grapevine Canyon near Scotty’s Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by 360-degree scans using a Maptek I-Site 8810XR TLS and post-processed with I-Site Studio software.
Greater Sage-grouse Nest Survival, Nevada and California 2019
Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of 38-day nest survival were used for prediction at each 30 meter pixel across the landscape.
Filters for Point Cloud Data from a Terrestrial Laser Scanner Survey in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California
This polygon shapefile represents filters used with I-Site Studio software to filter ground observations collected by terrestrial laser scanner (TLS) survey in Grapevine Canyon near Scotty's Castle, Death Valley National Park, from July 12-14, 2016. Filters were used to remove extraneous data from features such as vegetation, fences, power lines, and atmospheric interference. Th