100+ datasets found
  1. WWF HydroSHEDS Free Flowing Rivers Network v1

    • developers.google.com
    Updated Feb 23, 2000
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    WWF (2000). WWF HydroSHEDS Free Flowing Rivers Network v1 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_FreeFlowingRivers
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    Dataset updated
    Feb 23, 2000
    Dataset provided by
    World Wide Fund for Naturehttp://wwf.org/
    Time period covered
    Feb 11, 2000 - Feb 22, 2000
    Area covered
    Earth
    Description

    HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This dataset provides polylines that represent river networks, derived from and consistent with other HydroSHEDS datasets. These data are based on 15 arc-seconds (approx. 500 m at the equator) resolution raster data. Mapping the world's free-flowing rivers: data set and technical documentation Note that the quality of the HydroSHEDS data is significantly lower for regions above 60 degrees northern latitude as there is no underlying SRTM elevation data available and thus a coarser-resolution DEM was (HYDRO1k provided by USGS). HydroSHEDS was developed by the World Wildlife Fund (WWF) Conservation Science Program in partnership with the U.S. Geological Survey, the International Centre for Tropical Agriculture, The Nature Conservancy, and the Center for Environmental Systems Research of the University of Kassel, Germany.

  2. A data set of global river networks and corresponding water resources zones...

    • figshare.com
    zip
    Updated Sep 3, 2022
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    Denghua Yan; Chenhao Li; xin zhang; Feng Jianming; Biqiong Dong; JingJing Fan; Kun Wang; cheng zhang; Hao wang; Jianyun Zhang; Tianling Qin (2022). A data set of global river networks and corresponding water resources zones divisions V2.0 [Dataset]. http://doi.org/10.6084/m9.figshare.17430749.v4
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Denghua Yan; Chenhao Li; xin zhang; Feng Jianming; Biqiong Dong; JingJing Fan; Kun Wang; cheng zhang; Hao wang; Jianyun Zhang; Tianling Qin
    License

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

    Description

    The data set provides global river networks and corresponding water resources zones at three arc-seconds resolution and seven level. It provides river networks with good accuracy and precision and water resource zones with clearer topological relationships to ensure the efficiency of hydrological simulation and the accuracy of water resources evaluation.

    'A data set of global river networks and corresponding water resources zones divisions V2.0'

  3. E

    UKCEH digital river network of Great Britain (1:50,000)

    • catalogue.ceh.ac.uk
    • data-search.nerc.ac.uk
    Updated Dec 31, 2000
    + more versions
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    R.V. Moore; D.G. Morris; R.W. Flavin (2000). UKCEH digital river network of Great Britain (1:50,000) [Dataset]. https://catalogue.ceh.ac.uk/id/7d5e42b6-7729-46c8-99e9-f9e4efddde1d
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    Dataset updated
    Dec 31, 2000
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    R.V. Moore; D.G. Morris; R.W. Flavin
    Area covered
    Description

    This dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.

  4. g

    River Network Routes, EPA

    • geohive.ie
    • opendata.rcmrd.org
    • +1more
    Updated Sep 30, 2022
    + more versions
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    geohive_curator (2022). River Network Routes, EPA [Dataset]. https://www.geohive.ie/maps/02b70756725f45cda84c1a17170309da
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    Dataset updated
    Sep 30, 2022
    Dataset authored and provided by
    geohive_curator
    License

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

    Area covered
    Description

    This water flow network dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets. This layer contains an integrated flow network that includes known flow connections through rivers, lakes and groundwater aquifers. In places where the network is depicted flowing through lakes or through underground channels, the flow channels are schematic only, and do not represent the precise location of these flow channels. The appropriate Geological Survey Ireland data sets should be consulted where underground flows or connections are known or suspected.This dataset is provided by the Environmental Protection Agency (EPA). For more information please see https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4043e19-38ec-4120-a588-8cd01ac94a9c

  5. a

    Open River Network (CaBA ID)

    • castco-theriverstrust.hub.arcgis.com
    • data.castco.org
    Updated Feb 28, 2025
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    The Rivers Trust (2025). Open River Network (CaBA ID) [Dataset]. https://castco-theriverstrust.hub.arcgis.com/datasets/open-river-network-caba-id
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    The Rivers Trust
    Area covered
    Description

    Ordnance Survey (OS) make an open dataset of rivers available as OS Open Rivers vector polylines under an Open Government Licence, derived from the detailed OS MasterMap Water Layer. Although widely used by the practitioner and the academic community it is not fully topologically connected, limiting its suitability for several uses and research applications such as linear referencing and reach analysis, hydro-ecological analysis, water quality monitoring, restoration and remediation prioritisation, connectivity planning and integration in decision support tools. The entire river network for Great Britain was corrected for topological errors and attributed with additional data. The network consisted of 183,349 polylines representing 147,387 kilometres.To ensure the network was a topologically correct river network, canals and channels that broke the dendritic connectivity of the river network were removed. The network was further simplified by removing loops. Small unconnected sections that were within the great catchment they sat within were also deleted out.With the topological errors removed, the network was passed through the river network processing tool RivEX to create added-value attribution. Encoding the network with these pre-computed values allows for rapidly analyse of the network alongside site data (points snapped to the network).Further details on edits made to the network and the attribute fields added are recorded in the lineage and fields section of the metadata.For further info see https://openrivers.net/

  6. h

    Real-world and OCN river networks

    • rodare.hzdr.de
    zip
    Updated Feb 27, 2025
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    García-Andrade, AB; Colombo, EH; Calabrese, JM (2025). Real-world and OCN river networks [Dataset]. http://doi.org/10.14278/rodare.3633
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    zipAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    CASUS
    Authors
    García-Andrade, AB; Colombo, EH; Calabrese, JM
    License

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

    Area covered
    World
    Description

    The two folders contain the networks at high resolution (HQ) and at a coarser resolution (HS07). Both datasets contain networks from 10 to 1000 nodes approximatly. HQ contains smaller rivers while HS07 contains the major and most relevant rivers.

  7. U

    Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Sep 6, 2022
    + more versions
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    David Blodgett (2022). Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks [Dataset]. http://doi.org/10.5066/P9W79I7Q
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    Dataset updated
    Sep 6, 2022
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    David Blodgett
    License

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

    Time period covered
    May 10, 2022
    Description

    The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National Hydrography Dataset Plus V2.1 (NHDPlusV2) network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. The attributes included are: comid, tocomid, fcode, nameID, lengthkm, reachcode, frommeas, tomeas, arbolate_sum, terminalpa ,hydroseq, levelpathi, pathlength, dnhydroseq, areasqkm, totdasqkm, terminalfl, dnlevelpat. These attributes are available in three formats: csv, fst, and parquet. "fst" is a high performance format for use with ...

  8. Data products corresponding to "River Network Routing and Discharge...

    • zenodo.org
    zip
    Updated Jul 1, 2025
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    Elyssa Collins; Elyssa Collins; Elizabeth Altenau; Elizabeth Altenau; Tamlin Pavelsky; Tamlin Pavelsky; Cédric David; Cédric David; Augusto Getirana; Augusto Getirana; Emma Johnson; Emma Johnson (2025). Data products corresponding to "River Network Routing and Discharge Partitioning on a Multichannel River Network" [Dataset]. http://doi.org/10.5281/zenodo.15652973
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    zipAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Elyssa Collins; Elyssa Collins; Elizabeth Altenau; Elizabeth Altenau; Tamlin Pavelsky; Tamlin Pavelsky; Cédric David; Cédric David; Augusto Getirana; Augusto Getirana; Emma Johnson; Emma Johnson
    License

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

    Description

    Corresponding manuscript

    This dataset corresponds to all input and output files that were used in the study reported in:

    • Collins, E.L., Altenau, E., Pavelsky, T., David, C.H., Getirana, A., and Johnson, E.. (Submitted), River Network Routing and Discharge Partitioning on a Multichannel River Network.

    When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein.

    Files included in this version

    All 3-hourly discharge simulations (netCDF) for the SWORD Mirror (traditional, single channel) and SWORD (multichannel) river networks for the Amazon (b62) and Mackenzie (b82) river basins. Note that there are three files each for the SWORD river network for each basin. These correspond to each of the discharge partitioning approaches tested in the study: (1) width only ('wid'), (2) width and length ('wid_len'), and (3) width and sinuosity ('wid_sin').

    • Qout_SWORDMirror_b62_20150101_20240531_GLDASv21.nc.zip

    • Qout_SWORDMirror_b82_20150101_20240531_GLDASv21.nc.zip

    • Qout_SWORD_b62_20150101_20240531_GLDASv21_wid.nc.zip

    • Qout_SWORD_b62_20150101_20240531_GLDASv21_wid_len.nc.zip

    • Qout_SWORD_b62_20150101_20240531_GLDASv21_wid_sin.nc.zip

    • Qout_SWORD_b82_20150101_20240531_GLDASv21_wid.nc.zip

    • Qout_SWORD_b82_20150101_20240531_GLDASv21_wid_len.nc.zip

    • Qout_SWORD_b82_20150101_20240531_GLDASv21_wid_sin.nc.zip

    The SWORD Mirror and SWORD river network shapefiles for each basin with a column containing reach IDs so that discharge simulations from the netCDFs can be attached and visualized.

    • SWORDMirror_b62.zip

    • SWORDMirror_b82.zip
    • SWORD_b62.zip

    • SWORD_b82.zip

  9. EU-Hydro – River Network Database - version 1.2, Sep. 2020

    • sdi.eea.europa.eu
    esri:rest, ogc:wms
    Updated Sep 7, 2020
    + more versions
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    European Environment Agency (2020). EU-Hydro – River Network Database - version 1.2, Sep. 2020 [Dataset]. https://sdi.eea.europa.eu/catalogue/idp/api/records/a4613aeb-ec3e-49c5-adca-69cd1c9204a3
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    esri:rest, ogc:wmsAvailable download formats
    Dataset updated
    Sep 7, 2020
    Dataset provided by
    European Commissionhttp://ec.europa.eu/
    European Environment Agencyhttp://www.eea.europa.eu/
    Copernicus Land Monitoring Service helpdesk
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Jan 1, 2006 - Dec 31, 2012
    Area covered
    Description

    EU-Hydro is a dataset for all EEA38 countries and the United Kingdom providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. The EU-Hydro dataset is distributed in separate files (river network and drainage network) for each of the 35 major basins of the EEA38 + UK area. The production of EU-Hydro and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.

  10. Data from: A data set of global river networks and corresponding water...

    • figshare.com
    application/x-rar
    Updated Sep 28, 2019
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    Denghua Yan; Kun Wang; Tianling Qin; Baisha Weng; Hao wang; Wuxia Bi; Xiangnan Li (2019). A data set of global river networks and corresponding water resources zones divisions [Dataset]. http://doi.org/10.6084/m9.figshare.8044184.v6
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    application/x-rarAvailable download formats
    Dataset updated
    Sep 28, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Denghua Yan; Kun Wang; Tianling Qin; Baisha Weng; Hao wang; Wuxia Bi; Xiangnan Li
    License

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

    Description

    river and wrz

  11. S

    A Chinese Mainland River Network Dataset For Hydrodynamic Simulations

    • scidb.cn
    Updated Apr 11, 2025
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    Zheng Hui; Yang Heng; Chen Shuanglong (2025). A Chinese Mainland River Network Dataset For Hydrodynamic Simulations [Dataset]. http://doi.org/10.57760/sciencedb.23487
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Zheng Hui; Yang Heng; Chen Shuanglong
    License

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

    Area covered
    Mainland China
    Description

    River network data in Chinese Mainland and surrounding regions include the following supporting data: 1. merit_hydro_dir.geotiff: MERIT Hydro flow direction data. The data is chopped from MERIT Hydro global data, and the flow direction outside Chinese Mainland and surrounding areas is set to 0. 2. merit_hydro_upa.geotiff: MERIT Hydro drainage area data. This data is chopped from MERIT Hydro global data, and the flow direction outside Chinese Mainland and surrounding areas is set to nan. 3 drainage_density.geotiff: Drainage density data. Bilinearly interpolated from the "a dataset of 1km grid drainage density in China 2022" (https://doi.org/10.57760/sciencedb.16001) to a 90 meter MERIT Hydro grid. For regions outside the study domain, the drainage density is calculated from a river network delineated from MERIT-Hydro data with a drainage area threshold of 10 km2(river_network_10km2.gpkg). 4 upstream_length.geotiff: Upstream accumulation length. Derived from drainage_density.geotiff and meridi-hydro-dir.geotiff, the calculation method can be found in the reference. 5 river_network_10km2.gpkg.gz: River network data of Chinese Mainland and surrounding regions. This data is extracted using a 10 km2 threshold based on merit_hydro_dir.geotiff and merit_hydro_upa.geotiff.6 river_network_varden.gpkg.gz: A Chinese Mainland River Network Dataset For Hydrodynamic Simulations. This data was extracted using a drainage density-preserving river network delineation algorithm. The input data are merit_hydro_dir.geotiff, merit_hydro_upa.geotiff and upstream_length.geotiff, with a threshold of 0.5 km2 for drainage area and 0.5 km for river segment length. Please refer to the reference for the delineation algorithm. 7 river_nework_10km2_1km.gpkg.gz: the same as river_network_10km2.gpkg.gz, except that all the river segments have length of approximately 1 km. The dataset is suitable for hydrodynamic simulations.8 river_network_varden_1km.gpkg.gz: the same as river_network_varden.gpkg.gz, except that all the river segments have length of approximately 1 km. The dataset is suitable for hydrodynamic simulations.

  12. e

    INSPIRE Water Framework Directive River Network Routes

    • inspire-geoportal.ec.europa.eu
    • data.europa.eu
    Updated Nov 18, 2022
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    Environmental Protection Agency (2022). INSPIRE Water Framework Directive River Network Routes [Dataset]. https://inspire-geoportal.ec.europa.eu/srv/api/records/21016dfa-a8d2-4613-9bb7-1e5432bf1967
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    ogc web map service, atom syndication formatAvailable download formats
    Dataset updated
    Nov 18, 2022
    Dataset authored and provided by
    Environmental Protection Agency
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply

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

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Area covered
    Description

    This national rivers dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets.

  13. Global River Topology (GRIT)

    • zenodo.org
    bin, html, zip
    Updated Mar 15, 2023
    + more versions
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    Michel Wortmann; Michel Wortmann; Louise Slater; Louise Slater; Laurence Hawker; Laurence Hawker; Yinxue Liu; Yinxue Liu; Jeffrey Neal; Jeffrey Neal (2023). Global River Topology (GRIT) [Dataset]. http://doi.org/10.5281/zenodo.7629908
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    zip, html, binAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Michel Wortmann; Michel Wortmann; Louise Slater; Louise Slater; Laurence Hawker; Laurence Hawker; Yinxue Liu; Yinxue Liu; Jeffrey Neal; Jeffrey Neal
    License

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

    Description

    The Global River Topology (GRIT) is a vector-based, global river network that not only represents the tributary components of the global drainage network but also the distributary ones, including multi-thread rivers, canals and delta distributaries. It is also the first global hydrography (excl. Antarctica and Greenland) produced at 30m raster resolution. It is created by merging Landsat-based river mask (GRWL) with elevation-generated streams to ensure a homogeneous drainage density outside of the river mask (rivers narrower than approx. 30m). Crucially, it uses a new 30m digital terrain model (FABDEM, based on TanDEM-X) that shows greater accuracy over the traditionally used SRTM derivatives. After vectorisation and pruning, directionality is assigned by a combination of elevation, flow angle, heuristic and continuity approaches (based on RivGraph). The network topology (lines and nodes, upstream/downstream IDs) is available as layers and attribute information in the GeoPackage files (readable by QGIS/ArcMap/GDAL).

    Regions

    Vector files are provided in 6 continental regions with the following codes:

    • AF - Africa
    • AS - Asia
    • EU - Europe
    • NA - North America
    • SA - South America
    • SP - South Pacific/Australia

    The domain polygons (GRITv04_domain_GLOBAL.gpkg.zip) provide 60 subcontinental catchment groups that are available as vector attributes. They allow for more fine-grained subsetting of data (e.g. with ogr2ogr --where).

    Network segments

    Lines between inlet, outlet, confluence and bifurcation nodes. Files have lines and nodes layers.

    Attribute description of lines layer

    NameData typeDescription
    catintegerdomain internal feature ID
    global_idintegerglobal river segment ID, same as FID
    catchment_idintegerglobal catchment ID
    upstream_node_idintegerglobal segment node ID at upstream end of line
    downstream_node_idintegerglobal segment node ID at downstream end of line
    upstream_line_idstextcomma-separated list of global river segment IDs connecting at upstream end of line
    downstream_line_idstextcomma-separated list of global river segment IDs connecting at downstream end of line
    direction_algorithmfloatcode of RivGraph method used to set the direction of line
    width_adjustedfloatmedian river width in m without accounting for width of segments connecting upstream/downstream
    length_adjustedfloatsegment length in m without accounting for width of segments connecting upstream/downstream in m
    is_mainsteminteger1 if widest segment of bifurcated flow or no bifurcation upstream, otherwise 0
    cycleinteger>0 if segment is part of an unresolved cycle, 0 otherwise
    lengthfloatsegment length in m
    azimuthfloatdirection of line connecting upstream-downstream nodes in degrees from North
    sinuousfloatratio of line length and Euclidean distance between upstream-downstream nodes, i.e. 1 meaning a perfectly straight line
    domaintextcatchment group ID, see domain index file

    Attribute description of nodes layer

    NameData typeDescription
    catintegerdomain internal feature ID
    global_idintegerglobal river node ID, same as FID
    catchment_idintegerglobal catchment ID
    upstream_line_idstextcomma-separated list of global river segment IDs flowing into node
    downstream_line_idstextcomma-separated list of global river segment IDs flowing out of node
    node_typetextdescription of node, one of bifurcation, confluence, inlet, coastal_outlet, sink_outlet, grwl_change
    grwl_valueintegerGRWL code at node
    grwl_transitiontextGRWL codes of change at grwl_change nodes
    cycleinteger>0 if segment is part of an unresolved cycle, 0 otherwise
    continuity_violatedinteger1 if flow continuity is violated, otherwise 0
    domaintextcatchment group, see domain index file

    Network reaches

    Segment lines split to not exceed 1km in length, i.e. these lines will be shorter than 1km and longer than 500m unless the segment is shorter. A simplified version with no vertices between nodes is also provided. Files have lines and nodes layers.

    Attribute description of lines layer

    NameData typeDescription
    catintegerdomain internal feature ID
    segment_idintegerglobal segment ID of reach
    global_idintegerglobal river reach ID, same as FID
    catchment_idintegerglobal catchment ID
    upstream_node_idintegerglobal reach node ID at upstream end of line
    downstream_node_idintegerglobal reach node ID at downstream end of line
    upstream_line_idstextcomma-separated list of global river reach IDs connecting at upstream end of line
    downstream_line_idstextcomma-separated list of global river reach IDs connecting at downstream end of line
    lengthfloatlength of reach in m
    sinuousityfloatratio of line length and Euclidian distance between upstream-downstream nodes, i.e. 1 meaning a perfectly straight line
    azimuthfloatdirection of line connecting upstream-downstream nodes in degrees from North
    domaintextcatchment group, see domain index file

    Attribute description of nodes layer

    NameData typeDescription
    catintegerdomain internal feature ID
    segment_node_idintegerglobal ID of segment node at segment intersections, otherwise blank
    n_segmentsintegernumber of segments attached to node
    global_idintegerglobal river reach node ID, same as FID
    upstream_line_idstextcomma-separated list of global river reach IDs flowing into node
    downstream_line_idstextcomma-separated list of global river reach IDs flowing out of node
    domaintextcatchment group, see domain index file

    Catchments

    Catchment outlines for entire river basins (network components, including coastal drainage areas), segments (aka. subbasins) and reaches.

    Attribute description

    NameData typeDescription
    catintegerdomain internal feature ID
    global_idintegerglobal catchment ID, same as global_id of segment/reach ID if is_coastal == 0 for respective catchments or the catchment_id for component_catchments, same as FID
    areafloatcatchment area in km2
    is_coastalinteger1 for coastal drainage areas, 0 otherwise
    domaintextcatchment group, see domain index file

    Raster

    Upstream drainage area, flow direction and other raster-based products are also available upon request.

  14. o

    River network of Viet Nam - Dataset OD Mekong Datahub

    • data.opendevelopmentmekong.net
    Updated Jun 30, 2016
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    (2016). River network of Viet Nam - Dataset OD Mekong Datahub [Dataset]. https://data.opendevelopmentmekong.net/dataset/mng-li-thy-vn
    Explore at:
    Dataset updated
    Jun 30, 2016
    License

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

    Area covered
    Mekong River, Vietnam
    Description

    A geospatial dataset mapping river systems in Viet Nam. Attributes include: name of river, name of basin, name of sub-basin, Strahler number.

  15. d

    Data from: Updated CONUS river network attributes and geometry based on the...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). Updated CONUS river network attributes and geometry based on the NHDPlusV2, E2NHDPlusV2, and NWMv2.1 networks (ver. 3.0, August 2024) [Dataset]. https://catalog.data.gov/dataset/updated-conus-river-network-attributes-and-geometry-based-on-the-nhdplusv2-e2nhdplusv2-and
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    These attributes are based on the NHDPlusV2 network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. The attributes included are: comid, tocomid, ftype, fcode, gnis_name, gnis_id, fromnode, tonode, divergence, streamleve, streamorde, streamcalc, reachcode, frommeas, tomeas, lengthkm, arbolatesu, pathlength, areasqkm, totdasqkm, hwnodesqkm, hydroseq, dnhydroseq, levelpathi, terminalpa, dnlevelpat, terminalfl, terminalfl, wbareatype, wbareacomi, slope, slopelenkm, roughness, vpuin, vpuout, rpuid, vpuid. These attributes are available in four formats: csv, fst, parquet, and geopackage. "fst" is a high-performance format for use with the R programming language "fst" package. "parquet" is a high-performance format for use with multiple programming languages (including python) that support the Apache Arrow Parquet format. Geopackage is an open standard geodatabase format and includes both the attributes and geometry included in this data release. The comid field of these data can be used to join to the National Hydrography Dataset Plus V2.1 (NHDPlusV2) flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. Version 3.0 includes updated flowline geometry in a geopackage geodatabase file with node geometry digitized in agreement with the network topology and all derived attributes compatible with non-dendritic network assumptions. Version 3.0 also now includes specific records of edits applied to the NHDPlusV2 from the NWMV2.1 and E2NHDPlusV2 in seperate geopackage geodatabases. See the entity and attributes section of this metadata record for more information.

  16. d

    Data from: A comprehensive examination of the network position hypothesis...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated May 16, 2018
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    Renato Henriques-Silva; Maxime Logez; Nathalie Reynaud; Pablo A. Tedesco; Sebastien Brosse; Stephanie R. Januchowski-Hartley; Thierry Oberdorff; Christine Argillier (2018). A comprehensive examination of the network position hypothesis across multiple river metacommunities [Dataset]. http://doi.org/10.5061/dryad.bp31rm7
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    zipAvailable download formats
    Dataset updated
    May 16, 2018
    Dataset provided by
    Dryad
    Authors
    Renato Henriques-Silva; Maxime Logez; Nathalie Reynaud; Pablo A. Tedesco; Sebastien Brosse; Stephanie R. Januchowski-Hartley; Thierry Oberdorff; Christine Argillier
    Time period covered
    May 15, 2018
    Area covered
    France
    Description

    Henriques-Silva_et_al_2018.Ecography - downstream datasetHenriques-Silva_et_al_2018.Ecography - Dataset.zip

  17. a

    Digital River Network (DRN) - Watershed 0.2 (ha)

    • hub.arcgis.com
    • data-nrcgis.opendata.arcgis.com
    Updated Apr 3, 2025
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    Northland Regional Council (2025). Digital River Network (DRN) - Watershed 0.2 (ha) [Dataset]. https://hub.arcgis.com/datasets/c2b69684b9f34db9a53a57597d720e49
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Northland Regional Council
    Area covered
    Description

    This is a gdb file used in open data - The gdb has the Digital River Network (0.2 ha) This GIS layer is a vector dataset (polygons) representing individual catchments drawn at 0.2ha flow accumulation threshold (i.e., 0.2ha is the minimum size of a headwater catchment). Therefore, the Catchment_2k layer was produced from a 1m-resolution flow accumulation raster by using a threshold of 2000 cells. This means the upstream starting point (or headwater point) of stream segment was located where there is an upstream contributing areas of 0.2ha.Detailed Methodology report describing the datasethttps://www.nrc.govt.nz/resource-library-summary/research-and-reports/rivers-and-streams/high-resolution-digital-river-network-for-northland/Other DetailsData Provided By: Manas Chakraborty (Resource Scientist- Freshwater, NRC)

  18. l

    Supplementary information files for Extraction of connected river networks...

    • repository.lboro.ac.uk
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Feb 8, 2024
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    Huili Chen; Qiuhua Liang; Zhongyao Liang; Yong Liu; Tingyu Ren (2024). Supplementary information files for Extraction of connected river networks from multi-temporal remote sensing imagery using a path tracking technique [Dataset]. http://doi.org/10.17028/rd.lboro.12656828.v1
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    pdfAvailable download formats
    Dataset updated
    Feb 8, 2024
    Dataset provided by
    Loughborough University
    Authors
    Huili Chen; Qiuhua Liang; Zhongyao Liang; Yong Liu; Tingyu Ren
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Supplementary files for Extraction of connected river networks from multi-temporal remote sensing imagery using a path tracking technique. Precise delineation of river networks is important for accurate hydrological and flood modelling. Whilst remote sensing (RS) has showed great potential in monitoring hydrological changes over space and time, the existing RS-based methods extract river networks based on local morphologies and seldom take into account the overall hydrological connectivity of the rivers. The existing methods also commonly neglect the effect of seasonal variation of water surfaces and the existence of temporary water bodies, which deteriorate the precision of positioning river networks. To address these challenges, a new two-stage method is developed to Extract spatiotemporal variation of water surfaces based on Multi-temporal remote sensing Imagery and Delineate connected river networks with improved accuracy (EMID method for short) using a path tracking technique. The EMID method delineates connected river networks using (a) multi-temporal imagery and a Random Forest model to synoptically map the location and extent of water surfaces under different hydrological conditions, and (b) an optimization algorithm to find the best river paths based on water-occurrence frequency. Four drainage basins with various river morphologies are considered to validate EMID. Comparing with alternative methods, the EMID method consistently produces river network results with improved accuracy in terms of stream location, river coverage and network connectivity.

  19. Global χ Maps Dataset - Data Record B

    • figshare.com
    • springernature.figshare.com
    zip
    Updated May 30, 2023
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    Emanuele Giachetta (2023). Global χ Maps Dataset - Data Record B [Dataset]. http://doi.org/10.6084/m9.figshare.6148652.v1
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Emanuele Giachetta
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    χ' maps in shapefile format

  20. s

    North America: River Network, 30s resolution, 2009

    • searchworks.stanford.edu
    zip
    Updated Oct 18, 2021
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    (2021). North America: River Network, 30s resolution, 2009 [Dataset]. https://searchworks.stanford.edu/view/mz205gm2224
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    zipAvailable download formats
    Dataset updated
    Oct 18, 2021
    Area covered
    North America
    Description

    The goal of developing HydroSHEDS was to generate key data layers to support regional and global watershed analyses, hydrological modeling, and freshwater conservation planning at a quality, resolution and extent that had previously been unachievable.

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WWF (2000). WWF HydroSHEDS Free Flowing Rivers Network v1 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/WWF_HydroSHEDS_v1_FreeFlowingRivers
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WWF HydroSHEDS Free Flowing Rivers Network v1

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 23, 2000
Dataset provided by
World Wide Fund for Naturehttp://wwf.org/
Time period covered
Feb 11, 2000 - Feb 22, 2000
Area covered
Earth
Description

HydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced datasets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on elevation data obtained in 2000 by NASA's Shuttle Radar Topography Mission (SRTM). This dataset provides polylines that represent river networks, derived from and consistent with other HydroSHEDS datasets. These data are based on 15 arc-seconds (approx. 500 m at the equator) resolution raster data. Mapping the world's free-flowing rivers: data set and technical documentation Note that the quality of the HydroSHEDS data is significantly lower for regions above 60 degrees northern latitude as there is no underlying SRTM elevation data available and thus a coarser-resolution DEM was (HYDRO1k provided by USGS). HydroSHEDS was developed by the World Wildlife Fund (WWF) Conservation Science Program in partnership with the U.S. Geological Survey, the International Centre for Tropical Agriculture, The Nature Conservancy, and the Center for Environmental Systems Research of the University of Kassel, Germany.

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