Data

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 1 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful informa

Three data sets are included here to aid in assessment of the sea otter population collapse in southwest Alaska. One data set consists of results of sea otter surveys conducted between 1959 and 2015 at Bering Island, Russia and a selection of western Aleutian Islands in Alaska. Sea otter counts are reduced to a comparable value of otters per linear kilometer. Another data set consists per-capita a

Two data sets concerning organic contaminants are included here to aid in assessment of the sea otter population collapse in southwest Alaska. One data set consists of levels of organic pollutant compounds found in wild sea otter blood collected from captured animals in 1997 (Jessup et al., 2010). These sea otters were captured from islands in the western Aleutians and from outside the area of p

This data release is associated with a journal article titled, "Aquatic-Terrestrial Linkages Control Metabolism and Carbon Dynamics in a Mid-sized, Urban Stream Influenced by Snowmelt." The data were collected adjacent to USGS stream gage 06730200 and include observed and modeled values. Dissolved oxygen, dissolved carbon dioxide, stream depth, water temperature, and light intensity were collected

Optical sensors measuring fluorescent dissolved organic matter (fDOM) are increasingly being used in water quality studies because they provide proxy measurements for dissolved organic matter concentrations (DOC). Similarly, chlorophyll-a (chl-a) fluorescence sensors have gained popularity as a means to measure phytoplankton concentration, biomass, and even primary productivity using various appro

This dataset includes audiomagnetotelluric (AMT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and magnetotellurics, the USGS collected AMT data at 26 sites along five profiles ranging from 2 to 5 kilomet

A three-dimensional groundwater-flow model of a 73.2 square mile area in southeastern Albuquerque, New Mexico was designed and coupled to a regional (parent) model of the Middle Rio Grande Basin with the local-grid refinement numerical code MODFLOW-LGR2. This fine-gridded local (child) model was designed to simulate the response of the aquifer to pumping stresses and simulate advective groundwat

This metadata record presents analytical results for laboratory microcosms conducted during 2016-18 as part of a study to develop a field test and numerical interpretation method to determine the effective diffusion coefficients and sorption coefficients of trichloroethene (TCE) and daughter products in the rock matrix of sedimentary rock, as well as biodegradation rate coefficients in the borehol

This dataset includes magnetotelluric (MT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 24 sites along five profiles ranging from 2 to 5 kilometer

This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 a

The USGS Wyoming-Montana Water Science Center (WY?MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgag

This metadata document describes the data contained in the "processedData" folder of this data package. This data package contains all data collected by the Argos System from 17 satellite transmitters attached to Whooper Swans at a non-breeding site in Miyagi Prefecture, Japan, 2009. The raw data were processed to accomplish two goals: flag implausible location estimates and decode raw sensor data