73 datasets found
  1. d

    Hydrology Rating Curves on the Lower Mississippi River Data

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Hydrology Rating Curves on the Lower Mississippi River Data [Dataset]. https://catalog.data.gov/dataset/hydrology-rating-curves-on-the-lower-mississippi-river-data
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Mississippi River
    Description

    Data needed to generate hydrolic rating curves of areas along Lower Mississippi River.

  2. d

    Global River Discharge Database (SAGE)

    • search.dataone.org
    Updated Nov 17, 2014
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    Coe, Michael T.; Olejniczak, Nick (2014). Global River Discharge Database (SAGE) [Dataset]. https://search.dataone.org/view/Global_River_Discharge_Database_%28SAGE%29.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    Coe, Michael T.; Olejniczak, Nick
    Time period covered
    Jan 1, 1880
    Area covered
    Earth
    Description

    This database contains a compilation of monthly mean river discharge data for over 3500 sites worldwide. Each station is located on a river and measures the rate that water flows through it at various times of the year. The data sources are RivDis2.0, the United States Geological Survey, Brazilian National Department of Water and Electrical Energy, and HYDAT-Environment Canada. The period of record for each station is variable, from 3 years to greater than 100. All data are in m3/s.

    To access the data, click on the map at [http://www.sage.wisc.edu/riverdata/] to zoom in to the desired stations and data. Alternatively, the data can be accessed by using a key word search or by entering the river ID number if that is known. The data are provided in a tab-delimited format compatible with most spreadsheet programs.

  3. Data from: Motorboat use on the Main Salmon River: Data from a study for the...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +7more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Motorboat use on the Main Salmon River: Data from a study for the Frank Church-River of No Return Wilderness [Dataset]. https://catalog.data.gov/dataset/motorboat-use-on-the-main-salmon-river-data-from-a-study-for-the-frank-church-river-of-no--70146
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Area covered
    Salmon River
    Description

    This publication contains data from a two-phase 1998-1999 study in the Frank Church Wilderness which surveyed visitors about the use of motorboats and jet boats on the Salmon River. This study was done in coordination with the Western Whitewater Association (WWA) and Northwest River Runners (NRR), which are jet boat organizations based in Boise and Lewiston, ID, respectively. Information was gathered regarding visitor demographics and opinions on river use. Phase I included interviews with six leadership members of the WWA. Included in this data publication are notes from two of those interviews and excerpts from all six interviews. Phase II included sending surveys to jet boat users. Data include the results of these mailback surveys. Follow-up telephone surveys were conducted if the mailback surveys were not returned and those results have also been included.

  4. Atmospheric river data

    • figshare.com
    txt
    Updated Dec 13, 2022
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    SHANTI SHWARUP MAHTO; Vimal Mishra (2022). Atmospheric river data [Dataset]. http://doi.org/10.6084/m9.figshare.21716639.v1
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    txtAvailable download formats
    Dataset updated
    Dec 13, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    SHANTI SHWARUP MAHTO; Vimal Mishra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data used to generate atmospheric river plot

  5. U

    Assessing Techniques to Enhance Barrier Characteristics of High-head...

    • data.usgs.gov
    • search.dataone.org
    • +2more
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    Michael Montenero; Marybeth Brey; Brent Knights; Thomas Nock, Assessing Techniques to Enhance Barrier Characteristics of High-head Navigation Dams on the Upper Illinois River: Data [Dataset]. http://doi.org/10.5066/F7833R62
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Michael Montenero; Marybeth Brey; Brent Knights; Thomas Nock
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 1, 1985 - Dec 31, 2016
    Description

    The dataset is comprised of river conditions at La Grange, Peoria, Starved Rock, Marseilles, and Dresden Island Locks and Dams, along the Illinois River. Data were recorded bihourly from 1 Jan 1985 – 31 Dec 2016. For each location, pool elevation (ft), tailwater elevation (ft), head height (ft; calculated by the difference between pool elevation and tailwater elevation), discharge (cfs; when available) and total gate openness (sum of all open gates in ft), are given, where available. Open river conditions were calculated (0 = closed, 1 = open) for each two hour time period. Dam openness was assessed using the U.S. Army Corps of Engineers thresholds for open river conditions at each location.

  6. m

    Dez river Data

    • data.mendeley.com
    • narcis.nl
    Updated Oct 19, 2020
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    Omid Babamiri (2020). Dez river Data [Dataset]. http://doi.org/10.17632/zhz5xjvy2s.1
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    Dataset updated
    Oct 19, 2020
    Authors
    Omid Babamiri
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Dez
    Description

    Average discharge and monthly wastewater of point sources pollutants along the Dez River

  7. w

    riverdata.com.ar - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Nov 30, 2023
    + more versions
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    AllHeart Web Inc (2023). riverdata.com.ar - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/riverdata.com.ar/
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    csvAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Aug 21, 2025
    Description

    Explore the historical Whois records related to riverdata.com.ar (Domain). Get insights into ownership history and changes over time.

  8. Discharge measurements received from stream gages for all three study sites

    • figshare.com
    csv
    Updated Mar 2, 2025
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    Alex Collins (2025). Discharge measurements received from stream gages for all three study sites [Dataset]. http://doi.org/10.6084/m9.figshare.28513178.v1
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    csvAvailable download formats
    Dataset updated
    Mar 2, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Alex Collins
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A spreadsheet with values received from the Mohawk River (USGS stream gage #01357500), upper Hudson River (USGS stream gage #01335754), and the Hudson River main stem (USGS stream gage #01358000). U.S. Geological Survey, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), URL [http://waterdata.usgs.gov/nwis/]. http://dx.doi.org/10.5066/F7P55KJN

  9. Cary Institute River Data

    • search.dataone.org
    Updated Aug 1, 2022
    + more versions
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    DataONE UCSB Dedicated Replica Server (2022). Cary Institute River Data [Dataset]. https://search.dataone.org/view/urn%3Auuid%3A9713d6a8-1b87-44eb-9c42-386c098d0956
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    Dataset updated
    Aug 1, 2022
    Dataset provided by
    DataONEhttps://dataone.org/
    Description

    Exploratory portal for Cary Institute.. Visit https://dataone.org/datasets/urn%3Auuid%3A9713d6a8-1b87-44eb-9c42-386c098d0956 for complete metadata about this dataset.

  10. a

    Jago River data

    • arcticdata.io
    • search.dataone.org
    • +1more
    Updated Oct 21, 2016
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    M. Torre Jorgenson; Mikhail Kanevskiy (2016). Jago River data [Dataset]. http://doi.org/10.18739/A28K8J
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    Dataset updated
    Oct 21, 2016
    Dataset provided by
    Arctic Data Center
    Authors
    M. Torre Jorgenson; Mikhail Kanevskiy
    Time period covered
    Dec 15, 2010 - Nov 30, 2015
    Area covered
    Description

    This dataset contains information obtained from the Jago River field site in 2009-2014

  11. d

    Colorado River data

    • search.dataone.org
    Updated Dec 5, 2021
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    Robert Thomas Hensley (2021). Colorado River data [Dataset]. https://search.dataone.org/view/sha256%3Acd749705a6450a9ce052ee1bcbffdacbaec3f33f0b5ecb7d7763a496ff97cb35
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Robert Thomas Hensley
    Time period covered
    Jul 5, 2018 - Jul 6, 2019
    Area covered
    Description

    Longitudinal profiles of water chemistry from the Upper Colorado River starting at State Bridge CO and ending at Potash UT. Both profiles use the confluence with the Green River as the zero, with distances increasing upstream. Summer 2018 was a lower than average flow while summer 2019 was higher than average. Time series collected at USGS fixed sites along the profile during summer 2018 are also included.

  12. d

    Santa Fe River Data

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Robert Hensley (2021). Santa Fe River Data [Dataset]. https://search.dataone.org/view/sha256%3A31f27e02ff7bb0720594a31b3b7116db54070d9272c2a926e4f33141a07cf699
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Robert Hensley
    Area covered
    Santa Fe River
    Description

    High-frequency time-series solute measurements from the Santa Fe River at USGS 02322500 near Fort White FL (29°50'55''N, 82°42'55"W), and longitudinal profiles of solute chemistry along 24 km of the Lower Santa Fe River from River Rise (29°52'25''N, 82°35'29"W) to FL47 bridge (29°51'54''N, 82°44'24"W).

  13. f

    Raw nitrate concentration and discharge data for the stations used in this...

    • plos.figshare.com
    xlsx
    Updated May 30, 2023
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    Christopher S. Jones; Jacob K. Nielsen; Keith E. Schilling; Larry J. Weber (2023). Raw nitrate concentration and discharge data for the stations used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0195930.s001
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Christopher S. Jones; Jacob K. Nielsen; Keith E. Schilling; Larry J. Weber
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    (Data A) Upper Iowa River. (Data B) Yellow River. (Data C) Bloody Run Creek. (Data D) Turkey River. (Data E) North Fork Maquoketa River. (Data F) Wapsipinicon River. (Data G) Cedar River. (Data H) Iowa River. (Data I) North Skunk River. (Data J) South Skunk River. (Data K) Cedar Creek. (Data L) Des Moines River. (Data M) Thompson River. (Data N) West Nodaway River. (Data O) East Nishnabotna River. (Data P) West Nishnabota River. (Data Q) Boyer River. (Data R) Soldier River. (Data S) Maple River. (Data T) Little Sioux River. (Data U) West Fork Ditch. (Data V) Floyd River. (Data W) Rock River. (Data X) Atchafalaya River nitrate loads. (Data Y) Atchafalaya River discharge. (Data Z) Missouri River nitrate loads. (Data AA) Missouri River discharge. (Data BB) Mississippi River at Thebes nitrate loads. (Data CC) Mississippi River at Thebes discharge. (Data DD) Mississippi River at St. Francisville nitrate loads. (Data EE) Mississippi River at St. Francisville Discharge. (XLSX)

  14. d

    Upper Delaware River National Parks Hyperspectral Imagery Analysis of...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Upper Delaware River National Parks Hyperspectral Imagery Analysis of Submerged Aquatic Vegetation: River Data [Dataset]. https://catalog.data.gov/dataset/upper-delaware-river-national-parks-hyperspectral-imagery-analysis-of-submerged-aquatic-ve
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Delaware River
    Description

    A data processing task was needed by National Park Service to transpose field tabular and spatial data into various digital formats of the 1994 Aquatic Plant Survey Report. A survey of aquatic vascular plants was conducted in a 122 mile stretch of the Upper Delaware River between Hancock, New York and the Delaware Water Gap in 1991 and 1992. A total of 196 sites were inventoried and twenty-eight species of plants were recorded. The aquatic vascular plant flora in this section of the Delaware River appeared to be thriving, due in large part to good water quality and moderate impacts by man. The purpose of this task was the digitizing of hand-drawn field mapping data from hardcopy paper maps into digital map products. These digital mapping files are in the NPS standard GIS format and in National Park Service's accepted coordinate and projection systems. This is a data set composed of field survey of aquatic vegetation in the Delaware Water Gap and the Upper Delaware Scenic and Recreational Area National Parks. Data were compiled by field sampling with GPS coordinates and underwater imaging and bathymetry. Data were compiled by teams composed of personnel from the National Park Service, the U.S. Geological Survey and the Western Pennsylvania Conservancy. The data were used as training and ground truth for remote sensing image analysis of hyperspectral collected by the Civil Air Patrol with the Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance, also known by the acronym ARCHER. Archer is an aerial imaging system that produces ground images far more detailed than plain sight or ordinary aerial photography can. It is the most sophisticated unclassified hyperspectral imaging system available, according to U.S. Government officials. ARCHER can automatically scan detailed imaging for a given signature of the object being sought (such as a missing aircraft), for abnormalities in the surrounding area, or for changes from previously recorded spectral signatures. ARCHER was used in this project, to evaluate its potential for mapping submerged aquatic vegetation.

  15. LJ River data

    • figshare.com
    application/x-rar
    Updated Mar 31, 2021
    + more versions
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    Zhiyuan Zhang (2021). LJ River data [Dataset]. http://doi.org/10.6084/m9.figshare.14346515.v1
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    application/x-rarAvailable download formats
    Dataset updated
    Mar 31, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Zhiyuan Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These file folders include the original Excel data and GIS files for all the tables and figures of the paper entitled “River network ecological laws: A new perspective on the research of hydrology and ecology”.

  16. m

    Charles River Data Water Quality Sensor Data

    • data.mendeley.com
    Updated Jun 27, 2020
    + more versions
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    Puneet Arora (2020). Charles River Data Water Quality Sensor Data [Dataset]. http://doi.org/10.17632/sc64wp5c7m.3
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    Dataset updated
    Jun 27, 2020
    Authors
    Puneet Arora
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Charles River Data Water Quality Sensor Data Descriptive Statistics data. This is year-wise data. And the descriptive statistical analysis is also given Year Wise. The dataset starts with the year 2015 and end with 2018 values.

    Based on this dataset, equation modelling and machine learning models can be built for water quality assessment.

  17. d

    Habitat diversity and longitudinal connectivity limit the functional...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Habitat diversity and longitudinal connectivity limit the functional diversity and redundancy of fishes in a large river: Data [Dataset]. https://catalog.data.gov/dataset/habitat-diversity-and-longitudinal-connectivity-limit-the-functional-diversity-and-redunda
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The csv file includes all individual non-young-of-year fishes collected in unstructured channel borders of the Upper Mississippi River using daytime electrofishing from 1993 through 2015, following LTRM protocols. Data was collected via the Long Term Resource Monitoring element of the U.S. Army Corps of Engineers’ Upper Mississippi River Restoration program and the Illinois Natural History Survey’s Long-Term Survey and Assessment of Large-River Fishes in Illinois.

  18. d

    Influence of a high head dam as a dispersal barrier to fish community...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Influence of a high head dam as a dispersal barrier to fish community structure of the Upper Mississippi River: Data [Dataset]. https://catalog.data.gov/dataset/influence-of-a-high-head-dam-as-a-dispersal-barrier-to-fish-community-structure-of-the-upp
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Upper Mississippi River, Mississippi River
    Description

    In 2013 and 2014, standardized electrofishing was conducted above and below Lock and Dam 19 (i.e., in Pools 19 and 20 respectively) of the Upper Mississippi River (UMR). Sampling was consistent with the UMR Restoration program’s Long Term Resource Monitoring element (LTRM) and The Illinois Natural History Survey’s Long Term Electrofishing program (LTEF) allowing for standardized comparisons among the reaches we sampled and those sampled by the LTRM (Pools 4, 8, 13, and 26) and LTEF (Pools 16-21, and Pool 25). Data in this file is includes A) new data from Pools 19 and 20 and B) data compiled from public sources for other pools (LTRM and LTEF). Generally, data codes are intended to match formatting conventions from these public data repositories.

  19. d

    River Discharge Rates analysis by Time Series

    • dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 5, 2021
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    Jacob Wise Calhoon (2021). River Discharge Rates analysis by Time Series [Dataset]. https://dataone.org/datasets/sha256%3A7eaf0d60bfaacf81443cd6d837d86a18300dcf6a5b4c240720b74c192bffeadc
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Jacob Wise Calhoon
    Description

    This is a statistical analysis of discharge rates of any given river over the course of about 1 year

  20. H

    Northwest Branch Anacostia River Data Collection

    • hydroshare.org
    • beta.hydroshare.org
    zip
    Updated Aug 7, 2023
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    Karen Prestegaard (2023). Northwest Branch Anacostia River Data Collection [Dataset]. https://www.hydroshare.org/resource/fc2e4f4757c94e31a0eb47f705d504e1
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    zip(1.9 KB)Available download formats
    Dataset updated
    Aug 7, 2023
    Dataset provided by
    HydroShare
    Authors
    Karen Prestegaard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 18, 2020 - Apr 10, 2023
    Area covered
    Description

    This collection contains the following resource data sets for the NW Branch Anacostia watershed in Montgomery County, Maryland, USA: stream chemistry and stream temperature.

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U.S. Geological Survey (2024). Hydrology Rating Curves on the Lower Mississippi River Data [Dataset]. https://catalog.data.gov/dataset/hydrology-rating-curves-on-the-lower-mississippi-river-data

Hydrology Rating Curves on the Lower Mississippi River Data

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Mississippi River
Description

Data needed to generate hydrolic rating curves of areas along Lower Mississippi River.

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