Data

We developed this spatial database of historic and current floodplains to analyze trends in vegetation conditions, identify areas more at risk of degradation, and assess the relationship between riparian vegetation dynamics and climate conditions.Our study area is the riparian areas along the San Carlos River and Gila River within the San Carlos Apache Reservation and the Upper Gila River Level-4

In July 2023, the U.S. Geological Survey Alaska Science Center (USGS ASC) and the USGS Idaho Water Science Center (IDWSC), in cooperation with Alaska Department of Transportation and Public Facilities (AKDOT & PF), completed bathymetric and topographic surveys at four highway bridge structures using multibeam bathymetry and boat-mounted Light Detection and Ranging (LiDAR). The National Bridge Inve

These datasets support the conclusions in the journal article entitled "Current and future sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States" as described in the abstract below: Sinkholes in karst and pseudokarst regions threaten infrastructure, property, and lives. We mapped closed depressions in karst and pseudokarst regions of the conterminous United State

Biological indicators including morphometric (length, weight), age, sex and health indicators including organismal (health assessment index, condition factor), organ (hepatosomatic index, gonadosomatic index), cellular (intersex, parasite density, macrophage aggregate density), subcellular (plasma vitellogenin, estradiol, testosterone, 11-keto testosterone) and molecular (hepatic transcript abunda

This U.S. Geological Survey (USGS) data release contains phytoplankton classification and enumeration results from near-surface samples analyzed by imaging flow cytometry and collected as part of a harmful algae bloom (HAB) monitoring study conducted in collaboration with the New York State Department of Environmental Conservation (NYSDEC). Samples were collected biweekly from monitoring platforms

This data release contains principal facts of gravity measurements collected by the U.S. Geological Survey in 2020-2022, a compilation of existing and new density and magnetic susceptibility data, and gridded magnetic and magnetic potential data of the Bartlett Springs Fault Zone and surrounding areas, northern California. These data support modeling of gravity and magnetic anomalies to characte

The data contain yearly modeled estimates of Pacific salmon escapement (in annual metric tons of wet mass) from 1976 to 2015 across four regions of western North America. A second data file contains modeled estimates of contaminant or nutrient concentrations in Pacific Salmon. The modeled estimates were derived from Bayesian generalized linear models (contaminant or nutrient concentrations) or fro

This dataset includes genotypes and individual-based assignment tests for 868 Atlantic Sturgeon selected for assignment by the National Marine Fisheries Service to meet management requirements under the Endangered Species Act.

In April of 2021, the U.S. Geological Survey conducted a high-resolution seismic survey at Mee Ranch in Monterey County, California. Both passive- and active-source seismic data were acquired using DTCC SmartSolo 3-component nodal seismograph systems ("nodes"), which continuously recorded data at rates up to 2000 samples per second. For passive-source acquisition, a 6x5 grid of nodes was deployed

In June of 2021, the U.S. Geological Survey conducted a high-resolution seismic survey at Winters, California. Seismic data were acquired using a DTCC SmartSolo 3-component nodal seismograph system ("node"), which continuously recorded at 2000 samples per second. Nodes were deployed 5 meters apart from west-southwest to east-northeast to create an approximately 800-m-long linear profile. P-wave da

In May of 2020, the U.S. Geological Survey responded to the M6.5 Monte Cristo Range Earthquake, occurring near Tonopah, Nevada: https://www.usgs.gov/news/featured-story/m65-monte-cristo-range-earthquake. 60 DTCC SmartSolo 3-component nodal seismograph systems ("nodes") were deployed in the area and continuously recorded seismic data for about a month. Nodes were deployed in various arrays includin

This multi-band raster dataset describes the extent of agricultural activity, including both growing and bare or fallow agricultural fields, surrounding the city of Kabul, Afghanistan for 1988 - 2020. Landsat multispectral images acquired at the height of each year's growing season were used to perform a combined vegetation and clay band ratio analysis. Each band of this raster dataset represents