Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022
The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,386 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022. ROBIN represents a significant advance in global-scale, accessible streamflow data. The project was funded the UK Natural Environment Research Council Global Partnership Seedcorn Fund - NE/W004038/1 and the NC-International programme [NE/X006247/1] delivering National Capability Full details about this dataset can be found at https://doi.org/10.5285/3b077711-f183-42f1-bac6-c892922c81f4
dataset
https://data-package.ceh.ac.uk/data/3b077711-f183-42f1-bac6-c892922c81f4
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https://data-package.ceh.ac.uk/sd/3b077711-f183-42f1-bac6-c892922c81f4.zip
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description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/3b077711-f183-42f1-bac6-c892922c81f4
doi:
eng
environment
climatologyMeteorologyAtmosphere
Environmental Monitoring Facilities
publication
2008-06-01
-180
180
90
-90
1863-01-01
2022-12-31
publication
2024-05-28
Data were provided by national measuring agencies following a selection process from their wider networks. Following submission of data and metadata to the ROBIN Network, a quality control process was conducted centrally to assess the quality and suitability of the station’s inclusion in the dataset. Daily streamflow records were visually screened for change points, visually anomalous conditions indicating methodology changes or infilled data gaps and obvious errors in the data. Stations were removed if they showed signs of not having a sufficiently ‘near-natural’ regime, and edits were made over datasets to remove obviously erroneous data periods.
publication
2010-12-08
Comma-separated values (CSV)
If you reuse this data, you should cite: Turner, S., Hannaford, J., Barker, L.J., Suman, G., Armitage, R., Killeen, A., Griffin, A., Davies, H., Kumar, A., Dixon, H., Albuquerque, M.T.D., Almeida Ribeiro, N., Alvarez-Garreton, C., Amoussou, E., Arheimer, B., Asano, Y., Berezowski, T., Bodian, A., Boutaghane, H., Capell, R., Dakhaoui, H., Daňhelka, J., Do, H.X., Ekkawatpanit, C., El Khalki, E.M., Fleig, A.K., Fonseca, R., Giraldo-Osorio, J.D., Goula, A.B.T., Hanel, M., Hodgkins, G, Horton, S., Kan, C., Kingston, D.G., Laaha, G., Laugesen, R., Lopes, W., Mager, S. , Markonis, Y., Mediero, L., Midgley, G., Murphy, C., O'Connor, P., Pedersen, A.I., Pham, H.T., Piniewski, M., Rachdane, M., Renard, B., Saidi, M.E., Schmocker-Facker, P., Stahl, K., Thyler, M., Toucher, M., Tramblay, Y., Uusikivi, J., Venegas-Cordero, N., Vissesri, S., Watson, A., Westra, S., Whitfield, P.H. (2024). Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3b077711-f183-42f1-bac6-c892922c81f4
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University of Évora
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Center for Climate and Resilience Research
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University of Parakou
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Swedish Meteorological and Hydrological Institute
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Gdansk University of Technology
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Gaston Berger University
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Badji Mokhtar - Annaba University
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Swedish Meteorological and Hydrological Institute
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Université Tunis El Manar
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Czech Hydrometeorological Institute
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Nong Lam University – Ho Chi Minh City
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Tohoku University
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Mohammed VI Polytechnic University
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Norwegian Water Resources and Energy Directorate
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Institute of Earth Science (IES), University of Évora
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Pontificia Universidad Javeriana
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University of Abobo-Adjamé
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Czech University of Life Sciences Prague
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United States Geological Survey
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University of Canterbury, Christchurch
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University of Otago, Dunedin
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Bureau of Meteorology, Canberra
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University of Otago
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Czech University of Life Sciences Prague
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Universidad Politécnica de Madrid
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Stellenbosch University
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Maynooth University
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Maynooth University
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Norwegian Water Resources and Energy Directorate
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University of Danang
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Warsaw University of Life Sciences
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Cadi Ayyad University
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Aix Marseille University
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Cadi Ayyad University
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Swiss Federal Office for the Environment
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University of Freiburg
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South African Environmental Observation Network
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Research Institute for Development (IRD)
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Finnish Environment Institute (SYKE)
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Warsaw University of Life Sciences
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Chulalongkorn University
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Stellenbosch University
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University of Adelaide
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University of Saskatchewan
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