0537af26-5cab-4381-aca0-d997db421111 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:18:00 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Mapped stream networks for the Mundeni Aru, Maduru Oya and Miyangolla Ela river basins in eastern Sri Lanka 2024-04-16 publication https://catalogue.ceh.ac.uk/id/0537af26-5cab-4381-aca0-d997db421111 10.5285/0537af26-5cab-4381-aca0-d997db421111 doi: Matthews, J.B.R., Jayaratne, R., Raby, A. (2024). Mapped stream networks for the Mundeni Aru, Maduru Oya and Miyangolla Ela river basins in eastern Sri Lanka. NERC EDS Environmental Information Data Centre 10.5285/0537af26-5cab-4381-aca0-d997db421111 This dataset provides stream networks for three river basins in eastern Sri Lanka (Mundeni Aru, Maduru Oya and Miyangolla Ela). The stream networks were developed for use in hydrologic modelling and are provided as shapefiles. The work was supported by the Natural Environment Research Council (Grant NE/S005838/1). Full details about this dataset can be found at https://doi.org/10.5285/0537af26-5cab-4381-aca0-d997db421111 Matthews, J.B.R. University of East London climaterobin@gmail.com https://orcid.org/0000-0002-6016-7596 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Jayaratne, R. University of East London r.jayaratne@uel.ac.uk https://orcid.org/0000-0003-1351-9242 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Raby, A. University of Plymouth alison.raby@plymouth.ac.uk https://orcid.org/0000-0002-8959-0080 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Matthews, R. University of East London climaterobin@gmail.com pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Plymouth alison.raby@plymouth.ac.uk owner hazard river modelling flooding hydrology watershed GEMET - Concepts, version 4.1.3 2019-01-28 creation Sri Lanka Maduru Oya Mundeni Aru GeoNames 2006-01-01 creation Mapping Hydrology Miyangolla Ela Hydrologic modelling stream network otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Matthews, J.B.R., Jayaratne, R., Raby, A. (2024). Mapped stream networks for the Mundeni Aru, Maduru Oya and Miyangolla Ela river basins in eastern Sri Lanka. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/0537af26-5cab-4381-aca0-d997db421111 vector 100 English utf8 environment 81.388 81.813 7.366 7.832 Shapefile NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/0537af26-5cab-4381-aca0-d997db421111 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/0537af26-5cab-4381-aca0-d997db421111.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Natural and artificial watercourses were manually mapped using satellite imagery from Google Earth and their widths measured. The resulting stream networks have been checked for integrity, including to ensure lines are snapped at vertices and points ordered in the downhill direction.