This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain). The DFI curve at each catchment describes the response to rainfall over different time windows. The exponential parameters summarise the shape of the DFI curve at each site. Full details about this dataset can be found at https://doi.org/10.5285/d1df0a31-d329-4b21-8aa0-ba135d6a8042

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

The dataset is a collection of drone videos collected to calculate surface water flow speeds (velocity) in order to provide field validation of flow speeds calculated from satellite-derived video for the FluViSat project (Hydrological Flow Measurement from Satellite Video). The videos were taken using standard, unmodified DJI-Air2S camera drones on four rivers across England, Australia, Switzerland, and Japan and one tidal site in Scotland. Each video is at least 20-seconds in length, with minimum resolution of 1920 x 1080 pixels. The videos are taken at nadir angle with the drone stationary above a fixed point in the centre of the river. As such a viewer can clearly observe the surface of the water in these videos. These videos were used to provide a very effective validation dataset for the satellite derived videos. Videos were collected on the following dates and when the site was in the following conditions: - Burdekin River, Australia – 7th and 8th January and 18th May. River in high flow conditions. - River Tweed, Norham, England – 15th March. River at medium flows. - Falls of Lora, Connel, Scotland – 16th and 18th March and 14th, 15th, and 16th July. Tidal race captured at various flow conditions. - Uono River, Negoya, Japan – 10th May. River at medium-high flows. - River Rhine at Rhine Falls, Switzerland – 18th August. River at low to medium flows. This work was carried out under the Future-EO-1 EO Science for Society, and funded by, the European Space Agency. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/d62347ba-0173-4857-b3fc-b7238988f0d8