The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.

The U.S. Geological Survey maintains national data bases of water-use information. The data are collected and compiled every five years for each State, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.

County, state, and national water-use estimates may be downloaded from the National Water Information System Web (NWISWeb) interface, Water Data for the Nation, by selecting the Water Use button or data category pull-down. Data on NWISWeb represent the current best estimates, and may have been revised from previous publications. Data available from the USGS County Water-Use generally reflect the published report, and may have been revised in subsequent analyses.

Note: State-level data from 1950-1980 and watershed data are not available on NWISWeb, but they can be downloaded USGS County Water-Use Data link.

USGS Real Time Water Data for New Mexico includes streamflow, groundwater, lake and reservoir, precipitation, and water quality data. Real-time data typically are recorded at 15-60 minute intervals, stored onsite, and then transmitted to USGS offices every 1 to 4 hours, depending on the data relay technique used.

The locations of approximately 23,000 current and historical U.S. Geological Survey (USGS) streamgages in the United States and Puerto Rico (with the exception of Alaska) have been snapped to the medium resolution National Hydrography Dataset (NHD). The NHD contains geospatial information about mapped surface-water features, such as streams, lakes, and reservoirs, etc., creating a hydrologic network that can be used to determine what is upstream or downstream from a point of interest on the NHD network. An automated snapping process made the initial determination of the NHD location of each streamgage. These initial NHD locations were comprehensively reviewed by local USGS personnel to ensure that streamgages were snapped to the correct NHD reaches. About 75 percent of the streamgages snapped to the appropriate NHD reach location initially and 25 percent required adjustment and relocation. This process resulted in approximately 23,000 gages being successfully snapped to the NHD. This dataset contains the latitude and longitude coordinates of the point on the NHD to which the streamgage is snapped and the location of the gage house for each streamgage. A process known as indexing may be used to create reference points (event tables) to the NHD reaches, expressed as a reach code and measure (distance along the reach). Indexing is dependent on the version of NHD to which the indexing is referenced. These data are well suited for use in indexing because nearly all the streamgage NHD locations have been reviewed and adjusted if necessary, to ensure they will index to the appropriate NHD reach. Flow characteristics were computed from the daily streamflow data recorded at each streamgage for the period of record. The flow characteristics associated with each streamgage include: First date (year, month, day) of streamflow data Last date (year, month, day) of streamflow data Number of days of streamflow data Number of days of non-zero streamflow data Minimum and maximum daily flow for the period of record (cubic feet per second) Percentiles (1, 5, 10, 20, 25, 50, 75, 80, 90, 95, 99) of daily flow for the period of record (cubic feet per second) Average and standard deviation of daily flow for the period of record (cubic feet per second) Mean annual base-flow index (BFI) computed for the period of record (fraction, ranging from 0 to 1) Year-to-year standard deviation of the annual base-flow index computed for the period of record (fraction) Number of years of data used to compute the base-flow index (years) The streamflow data used to compute flow characteristics were copied from the NWIS-Web historical daily discharge archive (http://waterdata.usgs.gov/nwis/sw) on June 15, 2005.

The U.S. Geological Survey's National Water-Use Information Program is responsible for compiling and disseminating the nation's water-use data. The USGS works in cooperation with local, State, and Federal environmental agencies to collect water-use information. USGS compiles these data to produce water-use information aggregated at the county, state, and national levels. Every five years, data at the county level are compiled into a national water-use data system and state-level data are published in a national circular. Over the history of these circulars, the water-use categories have had some changes.

These pages provide access to water-resources data collected at approximately 1.9 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands. Online access to this data are organized around the categories listed to the left.

The USGS investigates the occurrence, quantity, quality, distribution, and movement of surface and underground waters and disseminates the data to the public, State and local governments, public and private utilities, and other Federal agencies involved with managing our water resources.

The Quillayute River Basin in northwestern Washington consists of the Quillayute River and the river systems of its major tributaries, the Dickey, Sol Duc, and Bogachiel Rivers. With a drainage area of 629 square miles, the Quillayute River Basin provides important habitat for 23 distinct runs of anadromous steelhead and salmon, representing one of the largest and most productive watersheds on the Washington coast (Nelson, 1982; Hunter, 2006). The Quileute Tribe maintains treaty-protected fisheries at usual and accustomed areas in the Quillayute River Basin; however, these fisheries are currently at risk during the late summer as water temperatures within these areas may exceed the specific thermal tolerances of salmonids and other cold-water aquatic species. To inform the planning and prioritization of projects that aim to improve the availability of cold-water habitat in the Quillayute River Basin, the U.S. Geological Survey (USGS), in cooperation with the Quileute Tribe and Wild Salmon Center, utilized various methods to characterize the late-summer water temperature dynamics of the Quillayute River Basin. These study components and their corresponding objectives included the following: - Thermal infrared surveys to map and profile water surface temperatures and identify thermal points of interest in the Quillayute River and its major tributaries (126 river miles total). - Paired air-stream temperature analysis to evaluate the groundwater influence and thermal sensitivity of 11 sites within the Quillayute River Basin. Repeated longitudinal near-surface and near-bottom water temperature float surveys to locate temperature changes indicative of groundwater discharge and assess the tidal influence on water temperatures along the right edge, left edge, and center of the Quillayute River (20 surveys total) - Models of groundwater-surface water exchange using streambed sediment temperature data at 6 sites in the lower Quillayute River and 13 sites in the Quillayute River oxbow ponds. - Cross-sectional profiles of water temperature and specific conductance to support interpretation of continuous water temperature records collected in the Quillayute River oxbow ponds. The data from these study components are included in the Child Items of this Data Release. In addition to the data presented herein, continuous water temperature data at ten sites representing deep pools in the Quillayute River and Quillayute River oxbow ponds were collected and published on the USGS National Water Information System (USGS, 2024a-e, g-k) as part of this study, along with river stage data at an additional site on the Quillayute River (USGS, 2024f). At each of the ten pool sites water temperature was collected at two to three depths in the water column to assess thermal stratification and the potential effect of tides and groundwater discharge. A forthcoming USGS Scientific Investigations Report will provide interpretation of all data published for this study. References Cited: Hunter, J.W., 2006, Quillayute Watershed Prioritized Salmon Restoration Projects: Quileute Natural Resources, accessed May 29, 2024, at https://quileutenation.org/natural-resources/salmon-restoration/. Nelson, L.M., 1982, Streamflow and sediment transport in the Quillayute River basin, Washington: U.S. Geological Survey Open-File Report 82-627, 33 p. [Also available online at https://pubs.usgs.gov/publication/ofr82627] U.S. Geological Survey (USGS), 2024a, USGS 475408124342701 Quillayute River Oxbow Hockey Pond nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475408124342701.] U.S. Geological Survey (USGS), 2024b, USGS 475413124351219 Quillayute R Oxbow Long Pond South nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475413124351219.] U.S. Geological Survey (USGS), 2024c, USGS 475418124351809 Quillayute R Oxbow Long Pond North nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475418124351809.] U.S. Geological Survey (USGS), 2024d, USGS 475422124342503 Quillayute River Oxbow Gravel Pond nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475422124342503.] U.S. Geological Survey (USGS), 2024e, USGS 475431124341790 Quillayute River at River Mile 4.0 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475431124341790.] U.S. Geological Survey (USGS), 2024f, USGS 475433124331801 Quillayute River at River Mile 4.8 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475433124331801.] U.S. Geological Survey (USGS), 2024g, USGS 475438124353601 Quillayute River at River Mile 3.0 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475438124353601.] U.S. Geological Survey (USGS), 2024h, USGS 475447124325201 Quillayute River at River Mile 5.2, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475447124325201.] U.S. Geological Survey (USGS), 2024i, USGS 475450124364701 Quillayute River at River Mile 2.0 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475450124364701.] U.S. Geological Survey (USGS), 2024j, USGS 475452124324101 Quillayute River at River Mile 5.4 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475452124324101.] U.S. Geological Survey (USGS), 2024k, USGS 475515124370701 Quillayute River at River Mile 1.3 nr La Push, WA, in USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed May 29, 2024, at https://doi.org/10.5066/F7P55KJN. [Site information directly accessible at https://waterdata.usgs.gov/nwis/uv?site_no=475515124370701.]

The shared table contains basic statistics (average, standard deviation, minimum, maximum, and coefficient of variation [%]) river channel hydraulics and discharge records of the 4472 USGS river monitoring stations. The required raw data are free to access by the USGS-National Water Information System (https://waterdata.usgs.gov/nwis). Hydraulics and discharge records that measured at each USGS monitoring site, given a long time period, were assembled, assessed, and finally used for computing the basic statistics.

This dataset represents all Streamgage Monitoring Stations from the U.S. Geological Survey, for the United States, Puerto Rico, and the U.S. Virgin Islands, in 2024. Gaging stations, or gages, measure the height (stage) and volume of flow at a point location on a water feature. Gages in this map layer were drawn from the National Water Information System (NWIS) Web Interface and linked to the National Hydrography Dataset Plus Version 2 (NHDPlusV2) flowline feature class. Each Streamgage point contains a link to the USGS Water Data site, which provides daily statistics reported from the station.Data pulled from GeoJSON: Release Rebuild with latest NWIS · internetofwater/ref_gages · GitHubThe GeoJSON file references NHDPlusV2 identifiers and the “reference mainstems” which are governed here:https://github.com/internetofwater/ref_rivers/

This data release provides several data files representing groundwater levels reported through driller's reports for the State of Louisiana Department of Natural Resources (Louisiana Department of Natural Resources, 2023) within or near the Mississippi Alluvial Plain (MAP) and (or) associated with the Mississippi River Valley alluvial aquifer (MRVA). First, a retrieval of data from the State of Louisiana was made and manual preparatory filtering including complete information of location, date, water level (depth below land surface) and water level altitude in feet, and general association with the MAP or MRVA. Further manual and digitally-assisted inspection was made to confirm that the data were not already within the U.S. Geological Survey (USGS) National Water Information System (NWIS) (U.S. Geological Survey, 2023). The agency code for the water levels has been assigned "LA018" (Louisiana Department of Natural Resources) in accordance with the https://help.waterdata.usgs.gov/codes-and-parameters/code/agency_cd_query?fmt=html (accessed February 28, 2023). Use of the LA018 agency code is consistent with historical and current USGS storage practices in NWIS when in collaboration with the State of Louisiana. This first data file is titled "LADNR_drillers_working.csv" (6,374 records). Second, that data file was processed through data structure conversion software (infoGW2visGWDB) (Asquith and Seanor, 2019) and in particular removal of well locations plotting outside the MAP boundary (Painter and Westerman, 2023) was made. The resultant but transient data structure of 4,855 of the original 6,374 records was given over to quality-control and assurance using statistical modeling (visGWDBmrva software) (Asquith and others, 2019, 2020). The statistical analyses result in formation of a regional statistical time series models using generalized additive models (GAMs) and support vector machines (SVMs). Some 18 records by horizontal position having a missing altitude of the bottom of the MRVA and zero records having water-level altitudes below the bottom of the MRVA when digitally working with the Torak and Painter (2019) surface of the MRVA bottom. These 18 records are retained through the workflow described herein to avoid potential scientific interpretation of hydrogeologic framework. In summary, for each of the 4,855 well-water-level records (or rather in detail, each unique well identifier), the visGWDBmrva software isolated all water levels for the MAP/MRVA from USGS (2023) within 16 kilometers radial distance. This means that the driller's dataset is being internally compared to itself and USGS MAP/MRVA data. The visGWDBmrva software computed a "pseudo water level" from a blending of GAM and SVM model predictions for the date of the driller's recorded water level. These computations are all created on-the-fly. A residual was computed from the pseudo water level (as altitude) to that water-level altitude reported for the well-water-level record of the driller's dataset. These statistical results are listed the file titled "LADNR_retained_levels.csv" (4,744 records) for which records were retained LADNR_drillers_working.csv if the absolute value of the residual of the well-water-level record and the pseudo water level was less than or equal to 20 feet. This threshold resulted from exploratory review of the statistical computations and is consistent with Smith and others (2020) and Weber and others (2021) for a similar driller's reported dataset for the Missouri part of the MAP/MRVA. The results listed in file LADNR_retained_levels.csv are deemed especially suitable for greater statistical modeling of groundwater levels in the MRVA (Asquith and Killian, 2022).

"NewEngland_pkflows.PRT" is a text file that contains results of flood-frequency analysis of annual peak flows from 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The file was generated by combining PeakFQ output (.PRT) files created using version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014) to conduct flood-frequency analyses using the Expected Moments Algorithm (England and others, 2018). The peak-flow files used as input to PeakFQ were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contained annual peak flows ending in water year 2011. Results of the flood-frequency analyses were used to estimate skewness of annual peak flows in the New England region using Bayesian Weighted Least Squares / Bayesian Generalized Least Squares (B-WLS / B-GLS) regression (Veilleux and others, 2019).

WaterWatch (http://waterwatch.usgs.gov) is a U.S. Geological Survey (USGS) World Wide Web site that displays maps, graphs, and tables describing real-time, recent, and past streamflow conditions for the United States. The real-time information generally is updated on an hourly basis. WaterWatch provides streamgage-based maps that show the location of more than 3,000 long-term (30 years or more) USGS streamgages; use colors to represent streamflow conditions compared to historical streamflow; feature a point-and-click interface allowing users to retrieve graphs of stream stage (water elevation) and flow; and highlight locations where extreme hydrologic events, such as floods and droughts, are occurring.

The streamgage-based maps show streamflow conditions for real-time, average daily, and 7-day average streamflow. The real-time streamflow maps highlight flood and high flow conditions. The 7-day average streamflow maps highlight below-normal and drought conditions.

WaterWatch also provides hydrologic unit code (HUC) maps. HUC-based maps are derived from the streamgage-based maps and illustrate streamflow conditions in hydrologic regions. These maps show average streamflow conditions for 1-, 7-, 14-, and 28-day periods, and for monthly average streamflow; highlight regions of low flow or hydrologic drought; and provide historical runoff and streamflow conditions beginning in 1901.

WaterWatch summarizes streamflow conditions in a region (state or hydrologic unit) in terms of the long-term typical condition at streamgages in the region. Summary tables are provided along with time-series plots that depict variations through time. WaterWatch also includes tables of current streamflow information and locations of flooding.

A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR1 (N 47d 04’ 16.1”/W 122d 42’ 15.5”) and continuously measured water temperature, water depth, specific conductance, and salinity at 15-minute intervals from February 11, 2016 to July 18, 2016 (159 days). The sensor was replaced with a vented water-level logger (InSitu Level Troll) on July 19, 2016 and deployed until March 19, 2018 (608 days). The site is tidally influenced and located approximately 4.1 km upstream from the mouth of the Nisqually River and within the tidal prism. The elevation (NAVD88) of the top of the deployment pipe was surveyed by RTN-GPS. Tape-down measurements from the top of the pipe to the water surface at the time of water depth measurements by the sensor were used to determine an offset for converting water depth to water surface elevation (NAVD88). The offset needed to convert all water depth time-series data to water surface elevation (NAVD88) is -0.26 meters. Water depth ranged from 1.38 to 4.50 m, water temperature ranged from 2.0 to 20.0 degrees C, specific conductance ranged from 54 to 12,200 (uS/cm), and salinity ranged from 0.0 to 7.0 practical salinity units (PSU). Data gaps of 15-minutes or more were reported as “NA”. Missing Level Troll data occurred from 10/07/2016 to 11/22/2016 and 11/29/2016 to 12/14/2016 and was the result of communication errors with the sensor. This site is also referenced as "USGS 12090248 Nisqually River at I5 near Nisqually, WA". Suspended sediment sample and discrete discharge data at this site are available at: https://waterdata.usgs.gov/wa/nwis/inventory/?site_no=12090248&agency_cd=USGS&. A summary of suspended-sediment sample data are provided with this data release in the file NR1_SSC_summary.csv.

The Geographic Information Retrieval and Analysis System (GIRAS) was developed in the mid 70s to put into digital form a number of data layers which were of interest to the USGS. One of these data layers was the Hydrologic Units. The map is based on the Hydrologic Unit Maps published by the U.S. Geological Survey Office of Water Data Coordination, together with the list descriptions and name of region, subregion, accounting units, and cataloging unit. The hydrologic units are encoded with an eight- digit number that indicates the hydrologic region (first two digits), hydrologic subregion (second two digits), accounting unit (third two digits), and cataloging unit (fourth two digits). The data produced by GIRAS was originally collected at a scale of 1:250K. Some areas, notably major cities in the west, were recompiled at a scale of 1:100K. In order to join the data together and use the data in a geographic information system (GIS) the data were processed in the ARC/INFO GUS software package. Within the GIS, the data were edgematched and the neatline boundaries between maps were removed to create a single data set for the conterminous United States. NOTE: A version of this data theme that is more throughly checked (though based on smaller-scale maps) is available here: https://water.usgs.gov/lookup/getspatial?huc2m HUC, GIRAS, Hydrologic Units, 1:250 For the most current data and information relating to hydrologic unit codes (HUCs) please see http://water.usgs.gov/GIS/huc.html. The Watershed Boundary Dataset (WBD) is the most current data available for watershed delineation. See http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset

Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences in the percentiles of water levels for all months, between 1990-1999 and 2000-2009. The 80th, 90th, and 96th percentiles of the annual maximums of daily groundwater levels during 1974-2009 (a 35-year period) were computed to provide an indication of unusually hig ...

Timeseries data from 'Cape May USGS weather station NJ (USGS 385655074532601)' (gov_usgs_waterdata_3856550745326) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,wind_speed_of_gust,lwe_thickness_of_precipitation_amount_qc_agg,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg,air_temperature,air_pressure_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,relative_humidity,air_pressure&time>=max(time)-3days Easternmost_Easting=-74.890556 featureType=TimeSeries geospatial_lat_max=38.948611 geospatial_lat_min=38.948611 geospatial_lat_units=degrees_north geospatial_lon_max=-74.890556 geospatial_lon_min=-74.890556 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from USGS National Water Information System (NWIS) at id=24996 infoUrl=https://sensors.ioos.us/#metadata/24996/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=38.948611 platform=fixed platform_name=Cape May USGS weather station NJ (USGS 385655074532601) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://waterdata.usgs.gov/monitoring-location/385655074532601,, sourceUrl=https://waterdata.usgs.gov/monitoring-location/385655074532601 Southernmost_Northing=38.948611 standard_name_vocabulary=CF Standard Name Table v72 station_id=24996 time_coverage_end=2025-03-26T13:57:00Z time_coverage_start=2023-08-23T04:03:00Z Westernmost_Easting=-74.890556

Timeseries data from 'NISQUALLY RIVER AT LA GRANDE DAM, WA (USGS 12086000)' (gov_usgs_nwis_12086000) _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.2 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=water_surface_height_above_reference_datum_geoid_localstationdatum_qc_agg,river_discharge,z,time,water_surface_height_above_reference_datum_geoid_localstationdatum,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-122.30428 featureType=TimeSeries geospatial_lat_max=46.822604 geospatial_lat_min=46.822604 geospatial_lat_units=degrees_north geospatial_lon_max=-122.30428 geospatial_lon_min=-122.30428 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from USGS National Water Information System (NWIS) at id=133008 infoUrl=https://sensors.ioos.us/#metadata/133008/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=46.822604 platform=fixed platform_name=NISQUALLY RIVER AT LA GRANDE DAM, WA (USGS 12086000) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://waterdata.usgs.gov/monitoring-location/12086000,, sourceUrl=https://waterdata.usgs.gov/monitoring-location/12086000 Southernmost_Northing=46.822604 standard_name_vocabulary=CF Standard Name Table v72 station_id=133008 time_coverage_end=2025-03-23T05:30:00Z time_coverage_start=2023-12-15T03:00:00Z Westernmost_Easting=-122.30428

This data release contains supporting materials for a study testing the applicability of an image-derived water-level method at three U.S. Geological Survey (USGS) streamgage sites around Lake Redstone in Wisconsin (site numbers 05404140, 05404150, and 05404147) during Water Year 2020 (Johnson, et al., 2025). Two types of reference objects were tested in this study: white polyvinyl chloride pipes (PVC), and a concrete wall. The PVC pipes were installed an tested at all three sites and the concrete wall was only tested at one site (co-located with one of the white PVC pipes), for a total of four trials. The top-level contents of the data release include: the hourly time-lapse images collected from each of the three sites (images.zip), the model archive of the R code (model_archive.zip) used to derive water-level data from the time-lapse images, a description of the model archive files and how to use them (Model_Archive_README.txt), the results (results.zip) from running the image-derived water-level method for each trial run, and the collated results for each trial (analysis.zip) each of which also include an image suitability judgement determined for every collected image.

This data set is one of many developed in support of The High Plains Groundwater Availability Project and the U.S. Geological Survey Data Series Report: Geodatabase Compilation of Hydrogeologic, Water-Budget Component, and Remote Sensing data for the High Plains aquifer, 2011 (DS 777). This dataset contains point vector data of 8,149 wells with 8,149 water-level measurement records located in areas overlying the northern High Plains aquifer in the United States. These data were acquired from the U.S. Geological Survey, Groundwater Resources Program, High Plains, Water-Level Monitoring Study at the following URL: http://ne.water.usgs.gov/ogw/hpwlms/data.html

This data release (version 5.0, February 2022) consists of a Microsoft® Access database and Microsoft® Excel workbook that contain water-level data and other hydrologic information for wells on and near the Nevada Test Site (currently the Nevada National Security Site). The three worksheets in the Microsoft® Excel workbook also are provided as individual comma-separated values (CSV) files. The data release supports U.S. Geological Survey Data Series 533 (https://pubs.usgs.gov/ds/533/). The Microsoft® Access database contains water levels measured from 930 wells in and near areas of underground nuclear testing at the Nevada Test Site. The water-level measurements were collected from 1941 to 2021. All water levels in the Microsoft® Access database are stored in the USGS National Water Information System (NWIS) database available at https://waterdata.usgs.gov/nv/nwis. The Microsoft® Access database also provides information for each well (well construction, borehole lithology, units contributing water to the well, and general site remarks) and water-level measurement (measurement source, status, method, accuracy, and specific water-level remarks). Additionally, the database provides hydrograph descriptions (hereinafter hydrograph narratives) that document the water-level history and describe and interpret the water-level hydrograph for each well. Multiple condition flags were assigned to each water‑level measurement to describe the hydrologic conditions at the time of measurement. The condition flags describe the general quality (accuracy), temporal variability, regional significance, and hydrologic conditions of the measurements. The Microsoft® Excel workbook contains hydrographs and locations for the 930 wells, which are interactively presented in the workbook as an interface to the Microsoft® Access database. This workbook is designed to be an easy-to-use tool to obtain the water-level history for any well in the study area. Water-level data can be restricted to certain wells, dates, or hydrologic conditions by using the Microsoft® Excel built-in AutoFilter. Additional information provided in the workbook includes selected well-site information, water-level information, contributing units, the hydrograph narratives, and hyperlinks to the NWISWeb (http://waterdata.usgs.gov/nv/nwis/) site home page for each well. Information presented in the workbook for all water levels in the database also includes measurement source, status, method, accuracy, remarks, and hydrologic condition flags. Interpretations for individual water-level measurements and for the period of record for the wells have been incorporated into the water-level remarks, flags, or hydrograph narratives.