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Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
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Colorado National Monument, Colorado. Geologic structural features at the north end of the Monument. Scale is approximately #1:25,000. The three stereoscopic pairs may be viewed in turn without optical aids by those accustomed to this procedure or by use of a simple double-lens stereoscope. Geologic features may be identified by comparison with the appropriate part of Plate 1 in this professional paper, orienting map with north to the left. Kodels Canyon Fault; upper bend of Lizard Canyon Monocline; Redland Fault; and upper bend of Fruita Canyon "monocline". Photo by U.S. Soil Conservation Service. Figure 34, U.S. Geological Survey Professional paper 451.
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The USGS RCMAP (Rangeland Condition Monitoring Assessment and Projection) project has worked with BLM scientists and land managers to develop actionable remote-sensing based vegetation classifications. RCMAP quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2024. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, shrub height, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. The mapping area included eight regions which were subsequently...
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Estes Park, Colorado, Flood July 15, 1982. Looking downstream at the muddy Big Thompson River at the Estes Park gage during the peak flow of the flood which was caused by failures of Lawn Lake Dam and Cascade Lake Dam. Photo by Z. Bleuins, Bureau of Reclamation, July 15, 1982.
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This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the...
Categories: Data; Types: Citation; Tags: 2015 National Assessment, 2015 National Assessment, 2015 National Assessment, Alabama, Arizona, All tags...
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The various post-fire data products available on the Burn Severity Portal are produced using satellite imagery. The timing of the satellite imagery used, relative to the fire event, typically depends on the vegetation type and structure where the fire occurred. Each mapping program produces a suite of data products based on user intended user needs. For more information about each of the programs, please refer to each area individually. Requests are made for burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of...
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The dataset is composed of four tables containing environmental DNA (eDNA) data, fish capture data, and site location information from Round Goby (Neogobius melanostomus) surveys conducted on parts of the Champlain Canal and upper Hudson River, and adjacent areas, in New York during 2022 and 2023. First posted May 5, 2022, ver. 1.0 Revised June 2022, ver. 2.0 Revised August 2022, ver. 3.0 Revised November 2022, ver. 4.0 Revised February 2023, ver. 5.0 Revised May 2023, ver. 6.0 Revised June 2023, ver. 7.0 Revised September 2023, ver. 8.0 Revised October 2023, ver. 9.0 Revised December 2023, ver. 10.0
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication is providing the supporting data for the updated methods and provides evaluation results for the United States and the Greater Horn of Africa.
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Album caption: Lower magnesian limestone, showing folded strata, IlliniosCentrak Railway cut south of BASco. NW1/4 sec. 14, T. 5 N., R. 9 E. Evansville quaddrangle, Dane County, Wisconsin. August 30, 1902. Handwritten note on album caption: No Negative - 7/26/2012.
The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water...
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Bathymetric and topographic surveys were collected along an approximately 47-kilometer reach of the Colorado River beginning at the Pumphouse Recreation site and extending downstream to the USGS streamgage located near the Colorado River Road (Catamount) bridge. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel during several time periods between May 13, 2021, through July 26, 2023, using a combination of sonar and wading techniques. The wading surveys include point data that are provided as comma-delimited text files of northing, easting, elevation, and point code. The sonar surveys include point data that are provided as comma-delimited text...
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This data release documents streambed sediment thickness in the Neversink watershed (NY) as determined by field observations and HVSR passive seismic measurements, and were collected as an extension of a previous data set collected in the same watershed (see Associated Items). These measurements were made between May 17, 2021 and May 21, 2021 using MOHO Tromino three-component seismometers (MOHO, S.R.L.). Seismic observations were converted to sediment thickness (depth to bedrock, meters) using the horizontal-to-vertical spectral ratio (HVSR) method. Resonance frequencies were determined from time domain data using GRILLA (MOHO, S.R.L.) software and converted to inferred depth to bedrock for a range of possible...
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The U.S. Geological Survey collected geomorphic monitoring data in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group. This data release contains cross-section geometry and sediment-size distribution data collected from five sites on the Upper Colorado River, Colorado during April 6-8, 2022. The five sites selected for monitoring were located at the Pumphouse Recreation Area, Radium Recreation Site, State Bridge, above Catamount, and below Sweetwater Creek. A cross section was surveyed at each site using real-time kinematic Global Navigation Satellite System survey methods to document the channel geometry. All five cross sections are incorporated in this data release and presented in CSV...
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The U.S. Geological Survey Pacific Coastal and Marine Science Center collected data to investigate sediment dynamics in the shallows of San Pablo Bay and sediment exchange between bay shallows and the tidal salt marsh in China Camp State Park in a series of deployments between December 2013 and June 2016. This data release includes two related groups of data sets. The first group, denoted by names starting with CHC, is from deployments with stations in the San Pablo Bay channel, shallows, and mudflats, and within China Camp marsh. The second, denoted by names starting with SP, is from deployments at a subset of the stations in the San Pablo Bay shallows, collected during intervals between the CHC deployments. Stations...
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
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The dataset is composed of three data tables containing information from electrofishing and pebble count surveys conducted in tributaries to the Mohawk River in central and eastern New York during 2019. The first table contains information on the sampled reaches, the second table contains fish collection data, and the third table contains pebble count data.
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Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across the full sagebrush (Artemisia spp.) biome. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2018 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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This digital dataset was created as part of a U.S. Geological Survey hydrologic resource assessment and development of an integrated numerical hydrologic model of the hydrologic system of the Upper Colorado River Basin, an extensive region covering approximately 412,000 square kilometers in five states: Wyoming, Colorado, Utah, Arizona, and New Mexico. As part of this larger study, the USGS developed this digital dataset of geologic data and a three-dimensional hydrogeologic framework model (3D HFM) that define the elevation, thickness, and extent of seven hydrogeologic units in the Upper Colorado River Basin. The hydrogeologic setting of the Colorado Plateau consists of thick Paleozoic, Mesozoic, and Cenozoic aquifers,...
Tags: 3D, Arizona, Chinle Formation, Colorado, Colorado Plateau, All tags...


map background search result map search result map Big Thompson River flood caused by dam failures. Estes Park, Colorado.1982. Geologic structural features at the north end of the Monument. Colorado National Monument, Colorado. No date. U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Vegetation Data Section 1 (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Landscape and Climate Data (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Soil Data (2013-2014) Dam Metrics Representing Stream Fragmentation and Flow Alteration for the Conterminous United States Linked to the NHDPLUSV1 Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022) Fish community and substrate data from tributaries to the Mohawk River (ver. 2.0, January 2024) Lower magnesian limestone, showing folded strata, Dane County.  Wisconsin, 1902. Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA) Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Monitoring Trends in Burn Severity and Burn Severity Portal – a clearing house of fire severity and extent information Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022 Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Rangeland Condition Monitoring Assessment and Projection (RCMAP) NGWOS Ground Based Discrete Snowpack Measurements Digital hydrogeologic framework model of the Upper Colorado River Basin, western U.S. Geologic structural features at the north end of the Monument. Colorado National Monument, Colorado. No date. Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA) Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022 Lower magnesian limestone, showing folded strata, Dane County.  Wisconsin, 1902. Big Thompson River flood caused by dam failures. Estes Park, Colorado.1982. Fish community and substrate data from tributaries to the Mohawk River (ver. 2.0, January 2024) NGWOS Ground Based Discrete Snowpack Measurements U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Vegetation Data Section 1 (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Soil Data (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Landscape and Climate Data (2013-2014) Digital hydrogeologic framework model of the Upper Colorado River Basin, western U.S. Projections of Rangeland Fractional Component Cover Across the Sagebrush Biome for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods (ver. 1.1, April 2022) Rangeland Condition Monitoring Assessment and Projection (RCMAP) Dam Metrics Representing Stream Fragmentation and Flow Alteration for the Conterminous United States Linked to the NHDPLUSV1 Monitoring Trends in Burn Severity and Burn Severity Portal – a clearing house of fire severity and extent information