Dataset represents centerlines of major water project canals that are managed by local area government agencies or entities. This dataset does not contain major State or Federal canals. The original data were from many sources including NHD,USBR,DWR,and contained errors in the attributes and locations. These errors were rectified by Jeff Galef of DWR Delta Levees Special Investigations Branch, using 2005 and 2006 NAIP imagery and Central Valley Aerials Express. These updates were as of 2009. Conflicts between this original data source and any new linework added was resolved using NAIP imagery from 2012. Digitizing was done at approximately 1:9000 scale. Many unnamed canals were identified using USGS topo maps and ESRI Street Map. Additional canal features were added in November 2017 which were inadvertently not included in the initial dataset.
Comprehensive dataset of 19,214 Canals in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Please click here to view the Data Dictionary, a description of the fields in this table.Feature layer depicting the location of canal systems throughout Scottsdale.
The Canal and River Trust has created these maps to provide the geographic location of the assets which form the Trusts network. Information contained includes the name and functional location of each asset. Functional locations are an internally used unique identifier.Please note the presence of an asset does not necessarily imply Trust ownership of the asset.© The Canal & River Trust copyright and database rights reserved 2019.© Crown copyright and database rights, 2019, Ordnance Survey 100022432.Canal & River Trust data licence can be viewed here.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This polygon dataset shows canals managed by Waterways Ireland. Waterways Ireland is one of six North/South Implementation Bodies established under the British-Irish Agreement of 1998. It is the cross-border navigational authority responsible for the management, maintenance, development and promotion of over 1000 km of inland navigable waterways, principally for recreational purposes.
This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.
Legally defined right-of-way boundary of canals within Mesa planning area. Canals supply much of the water the City uses for drinking water and irrigation of parks and open spaces. Data represents canal right-of-way from the City’s inception and is updated when changes are made to the canal Right of Way (ROW).
https://canalrivertrust.org.uk/refresh/media/thumbnail/26503-CRT-Data-Licence.pdfhttps://canalrivertrust.org.uk/refresh/media/thumbnail/26503-CRT-Data-Licence.pdf
Location of the waterways and related structures managed by the Canal & River Trust. This data includes the following layers: - Canal centreline: Line dataset representing the canal centre line split into pseudo 1km sections. - Bridges: Point dataset representing the location of all the bridges on the Canal & River Trust Network. It includes accommodation, public road, towpath/turnover, foot, pipe/cable and railway bridges and bridge abutments. - Aqueduct: Point dataset representing the location of aqueducts on Canal & River Trust's network. The aqueducts where appropriate are snapped to the canal centre line. - Docks: Polygon dataset depicting the docks on Canal & River Trust's network. - Embankments: Polygon dataset depicting all of Canal & River Trust's principal and non-principal embankments. - Lakes, ponds and fisheries: Polygon data set depicting Canal & River Trust owned and managed Lakes, Ponds and Fisheries. Captured to OS Master Map. - Locks: Point dataset depicting the location of locks (including weired and disused locks) on Canal & River Trust's network. The locks where appropriate are snap to the canal centre line in the centre of the pound. - Outfall/discharge point: Point dataset representing the location of an outfall or discharge point into a waterway. Feeder discharge points are not included. - Reservoirs: Polygon data set depicting Canal & River Trust's reservoirs. - Wharves: Point data set representing the location of wharves on Canal & River Trust's waterway network. Not a complete dataset.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This dataset shows the location of the canal network in Great Britain. This data was extracted from Ordnance Survey Strategy Data that was released as part of the OS OpenData initiative in April 2010. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-09-22 and migrated to Edinburgh DataShare on 2017-02-21.
These data provide an accurate high-resolution shoreline compiled from imagery of Back Canals, Ojus to Little River Canal, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Canals and Aqueducts local’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c86bb252-b2db-4562-b6aa-6aa49b2bd899 on 26 January 2022.
--- Dataset description provided by original source is as follows ---
Dataset represents centerlines of major water project canals that are managed by local area government agencies or entities. This dataset does not contain major State or Federal canals. The original data were from many sources including NHD,USBR,DWR, and contained errors in the attributes and locations. These errors were rectified by Jeff Galef of DWR Delta Levees Special Investigations Branch, using 2005 and 2006 NAIP imagery and Central Valley Aerials Express. These updates were as of 2009. Conflicts between this original data source and any new linework added was resolved using NAIP imagery from 2012. Digitizing was done at approximately 1:9000 scale. Many unnamed canals were identified using USGS topo maps and ESRI Street Map. Additional canal features were added in November 2017 which were inadvertently not included in the initial dataset.
--- Original source retains full ownership of the source dataset ---
Comprehensive dataset of 1,112 Canals in Germany as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
The Old Erie Canal has undergone sedimentation and aquatic growth that have restricted flow and diminished the aesthetic quality of the canal during the nearly 200 years since its construction. During 2018–2019, the U.S. Geological Survey (USGS) in cooperation with the Madison County Planning Department and the New York State Canal Corporation conducted a study of the Old Erie Canal between the Town of DeWitt, New York, and its junction with the current Erie Canal of the New York State Canal System near Rome, N.Y. The study comprised bathymetric, velocity, and water-quality surveys and documentation of the canal infrastructure. The USGS established benchmarks and staff gages along the 30.8 miles of the canal study area to reference the water-surface level in the canal to the North American Vertical Datum of 1988 (NAVD 88). Water-quality data (dissolved oxygen, water temperature, specific conductance, pH, and turbidity) were collected concurrently with the bathymetric survey (spring 2018) to characterize changes in water quality along the length of the canal. The canal infrastructure was documented to provide a baseline assessment. This dataset contains a shapefile representing the geographic extent of Old Erie Canal.
The New York State Canal System is a 524 mile inland waterway that includes 16 lift bridges, which are operationally left in the down position to allow vehicular road traffic to pass over the canal, but then are lifted on demand to allow vessels to pass beneath. Information provided in this dataset includes the name of each lift bridge, its phone number, and specific location by mileage along the canal and geographic coordinates.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
WFD Artificial Water Bodies – Canals Cycle 1 is a polyline Shapefile dataset containing Water Framework Directive (WFD) attributes that have been collated as defined for the implementation of the Water Framework Directive. The WFD defines an ‘artificial water body’ as a body of surface water created by human activity.
Water bodies are attributed with a unique identifier ‘EA_WB_ID' (equivalent to WB_ID in Cycle 2) so this dataset can be linked directly to other WFD data sources such as physical characteristics, risk, classification and proposed objectives as well as Cycle 2 datasets.
This dataset covers the layer for Cycle 1 of the Water Framework Directive and does not include natural water bodies; these are available as WFD RIVER WATER BODIES CYCLE 1. However, the equivalent layer for Cycle 2 is covered under WFD River, Canal and Surface Water Transfer Water bodies Cycle 2 (ie both artificial and natural water bodies).
This dataset was previously known as WFD ARTIFICIAL WATERBODIES – CANALS.
Please note that the Environment Agency no longer provide data for water bodies in Wales - this should now available from Natural Resources Wales.
This line feature class shows canals of the irrigation districts within Deschutes County.
The New York State Canal System is a 524 mile inland waterway that includes 57 locks, which are used to transfer vessels from a navigation pool at one elevation to another. Information provided in this data set includes the name of each lock, its phone number and specific location by mileage along the canal and geographic coordinates. This dataset excludes the Utica Harbor Lock because at this time it is not open to the public.
These data provide an accurate high-resolution shoreline compiled from imagery of Dismal Swamp Canal, VA-NC . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
This layer is displayed on the Matters of local environmental significance- wetlands and waterways overlay map in City Plan version 7 as 'Canal'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html
Canal & River Trust data licence for data sharing purposes.
Dataset represents centerlines of major water project canals that are managed by local area government agencies or entities. This dataset does not contain major State or Federal canals. The original data were from many sources including NHD,USBR,DWR,and contained errors in the attributes and locations. These errors were rectified by Jeff Galef of DWR Delta Levees Special Investigations Branch, using 2005 and 2006 NAIP imagery and Central Valley Aerials Express. These updates were as of 2009. Conflicts between this original data source and any new linework added was resolved using NAIP imagery from 2012. Digitizing was done at approximately 1:9000 scale. Many unnamed canals were identified using USGS topo maps and ESRI Street Map. Additional canal features were added in November 2017 which were inadvertently not included in the initial dataset.