Data Releases
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.
Filter Total Items: 16325
New Hampshire Fish and Game Department Volume 1 New Hampshire Fish and Game Department Volume 1
This volume's release consists of 463615 media files captured by autonomous wildlife monitoring devices under the project, New Hampshire Fish and Game Department. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media...
Vegetation and soil cover data in response to indaziflam and imazapic herbicide applications within Minidoka National Wildlife Refuge, Idaho, USA Vegetation and soil cover data in response to indaziflam and imazapic herbicide applications within Minidoka National Wildlife Refuge, Idaho, USA
Eighty-one monitoring plots within the Minidoka National Wildlife refuge on the Snake River Plain in south-central Idaho were surveyed in July-August from 2020 to 2023 to evaluate the effects of herbicides on the vegetation-community across areas that varied in both burn history and background cheatgrass abundance. Surveys consisted of line-point intercept measurements along two 6m or...
MODFLOW 6 Model Used to Simulate Groundwater Flow in the Long Island, New York Regional Aquifer System for 1900–2019 Pumping and Recharge Conditions MODFLOW 6 Model Used to Simulate Groundwater Flow in the Long Island, New York Regional Aquifer System for 1900–2019 Pumping and Recharge Conditions
This groundwater model archive documents a transient, regional-scale numerical model of the Long Island aquifer system that simulates hydrologic conditions for the period 1900-2019 using U.S. Geological Survey’s groundwater modeling software MODFLOW 6 (Hughes and others, 2017). The development and calibration of the numerical model is documented in Walter and others (2024). The model...
Chloride concentration data for the western part of the Southern Hills regional aquifer system, Louisiana, 2021-22, and selected historical data Chloride concentration data for the western part of the Southern Hills regional aquifer system, Louisiana, 2021-22, and selected historical data
Groundwater is heavily used for public supply and industrial uses in the Baton Rouge area. Lowered water levels resulting from groundwater withdrawals have induced the movement of saltwater towards wells in East Baton Rouge and West Baton Rouge Parishes. Saltwater intrusion has the potential to affect water supply infrastructure, reduce water availability for certain uses, and increase...
Phenology observations for cheatgrass (Bromus tectorum) and red brome (Bromus rubens) in the western United States Phenology observations for cheatgrass (Bromus tectorum) and red brome (Bromus rubens) in the western United States
This dataset consists of phenology observations of red brome (Bromus rubens) and cheatgrass (Bromus tectorum) collected at long-term monitoring sites and using daily timelapse camera imagery in the western United States. These observations include the location and day of year that flowering or senescence was observed per species. For timelapse camera images, 'flowering' observations...
Projections of post-fire cover of non-native short-lived grasses and forbs under current and future climate conditions Projections of post-fire cover of non-native short-lived grasses and forbs under current and future climate conditions
These data provide current and future projected post-fire invasion risk by non-native short-lived grasses and forbs based on vegetation cover data from 26,729 plots in the western United States that burned prior to being sampled. Projected post-fire invasion risk was calculated using random forests with gridded climate, soil, and topographic predictor variables following Prevéy et al....