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This data release contains daily gridded data reflecting surface water input from rainfall, rain on snow (mixed), and snowmelt for the conterminous United States for water years 1990 to 2023 (1990/10/01 to 2023/09/30). This release also contains annual estimates of gridded input seasonality (an index reflecting whether surface water input occurs within a concentrated period or is equally distributed throughout the year), precipitation seasonality, average snowmelt, rainfall and rain on snow rates, and finally, annual totals of each input type. Average snowmelt, rainfall and rain on snow rates were computed using days where values were greater than zero. Daily data were generated using precipitation input from the...
These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.
To meet the climate change planning and adaptation needs of Alaska managers and decision makers, I developed a set of statewide summaries of available climate change projections that can be further subset using GIS techniques for requests by management unit, watershed, or other location. This facilitates the development of tailored climate futures for decision makers’ regional or subregional management context. This file describes the source data and summaries for purposes of technical /scientific documentation. The methods and presentation for these datasets were adapted from products in previous USGS-approved IP products for the AKCASC Building Resilience Today project (e.g, Community of Kotlik et al. 2019)....
This dataset includes locations of burros between 2016 and 2020 from two study areas where burros were located every 2 hours continuously using GPS telemetry collars for Lotek collars, and every 13 hours continuously for Vectronic Aerospace collars. Location data are from adult female burros, not males. Study areas are the Lake Pleasant Herd Management Area in Arizona, USA and the Sinbad Herd Management Area in Utah, USA. Some burro location data from the Lake Pleasant Herd Management Area were collected by the Arizona Game and Fish Department, covering the same time period and methods as USGS-collected data.
DISCLAIMER "These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data." See Full Metadata Here This dataset contains the initial 3D Hydrography Program (3DHP) flow network based on the final High Resolution National Hydrography Dataset (NHD) [data] [documentation] and a set of mainstem rivers [data] built on the Medium resolution NHDPlus Version 2 (NHDPlusV2). Two key pieces of...
Field observations in a Lake Ontario embayment suggested that there is a phototaxic response of larval cisco that changes with development. This switch was verified using cultured cisco in a laboratory environment. These data include counts of cisco larvae at three depth ranges within multiple 95 liter tanks. Each tank of larvae were exposed to one of three different light treatments with three replicate tanks per treatment. Light treatments were 24 hours per day of light exposure, 24 hours per day in darkness, and a 12-hour light then 12-hour dark exposure cycle. Observations of cisco positioning within the water column were recorded periodically. The information collected included the date and time of the observation,...
The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial mapping products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively. The imagery was classified using Random Forest (RF) Modeling to produce land cover maps with three main classifications - bare,...
The broadly shared information needs for grassland managers in the North Central region to meet conservation goals in a changing climate are presented and ranked as highly relevant, somewhat relevant, or not relevant for federal, state, tribal, and non-governmental grassland-managing entities.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Grasslands,
Information Needs,
Kansas,
Landscapes,
Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Landsat,
USGS Science Data Catalog (SDC),
United States,
burned area,
fire frequency,
This data release contains approximately three years of modeled chlorophyll-a—a proxy for planktonic algal biomass—transport through a 394-km portion of the Illinois River. Defined by four distinct reaches, model estimates include daily water balance, velocities, and algal biomass separated into its components of net growth, net loss, transported from upstream, and input from tributaries. First release: February 2024 Revised: April 2024 (ver. 1.1)
Categories: Data,
Data Release - Revised;
Tags: Illinois River,
USGS Science Data Catalog (SDC),
biota
The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts, as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult alewife (Alosa pseudoharengus) as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeast U.S. We also evaluated broad-scale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats including sea surface temperature (SST), North Atlantic Oscillation index,...
Categories: Data,
Data Release - In Progress;
Tags: Phenology,
climate change,
fish,
migration,
migration
Dissolved oxygen estimates were generated to help understand how different alternative management scenarios may affect the likelihood of low dissolved oxygen in Glen Canyon Dam releases. The study aimed to examine the effects of different management alternatives on late summer and early fall dissolved oxygen concentrations in Glen Canyon Dam releases. The estimates represent estimates of dissolved oxygen concentration in Glen Canyon Dam releases between August and October of a given year. These estimates were generated using data collected in Lake Powell reservoir as part of a long-term inter-agency water quality monitoring program conducted by the Bureau of Reclamation, the National Park Service, and the U.S. Geological...
Optical sensors measuring fluorescence of dissolved organic matter (fDOM) are increasingly used in water quality studies because they provide proxy measurements for a variety of contaminants and constituents of concern including metals and wastewater effluent. Similarly, sensors measuring fluorescence of chlorophyll (fChl) and phycocyanin (fPC) have gained popularity to measure phytoplankton concentration, biomass, and even primary productivity. Optical sensors require calibration using a calibration standard solution which is diluted from a working stock solution. However, preparation of stock solutions is challenging because they are difficult to prepare accurately, need to be prepared in a laboratory setting,...
Categories: Data;
Tags: California,
California Water Science Center,
Organic Matter Research Lab,
Sacramento,
USGS Science Data Catalog (SDC),
These data were compiled for/to modeling to assess impact of management scenarios on Colorado River sediment resources. Objective(s) of our study were to assess impact of management scenarios on Colorado River sediment resources. These data represent model results for high flow experiment timing/duration, sand mass balance, sandbar volume, based on the data in the Interim Guidelines SEIS and LTEMP SEIS folders. These data were generated in 2023-2024 and are model simulations of Colorado River sediment resources downstream of Glen Canyon dam. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring & Research Center with models generated and codes written/adapted...
These data were compiled to predict hourly Glen Canyon Dam operations and hydropower impacts. The objective of our study was to estimate hydropower impacts under different future LTEMP sEIS alternatives. These data represent hourly outflow in cubic feet per second, generation in megawatt hours, and economic value of hydropower in nominal dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Cetner using mathematical modeling methods.
This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Grasslands,
Kansas,
Montana,
Nebraska,
This data release documents time-series analyses of aqueous-chemistry data from public-supply wells (PSWs) and associated potential explanatory factors to characterize responses of groundwater quality to drought and recovery periods in California’s San Joaquin Valley (SJV) during 2000-2022. Annual median nitrate values were computed for PSWs throughout the SJV during the period of study. Median annual nitrate values were calculated at all PSWs with available data in the SJV, resulting in a total of 698 PSWs with complete annual records after single-year linear gap imputation. A total of 237 of these records were classified as “low variance” because they contained proportions of identical values exceeding 80 percent...
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