This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/97528815-bd0b-484d-8e68-a1184828631d

This dataset contains RGB photographs acquired from drone surveys. There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area. Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location data for harvest plots and ancillary metadata. The observations can be used to obtain allometric size-biomass models. This work was supported by the Natural Environment Research Council award number NE/R00062X/1 as part of the project 'Do dryland ecosystems control variability and recent trends in the land CO2 sink?' Full details about this dataset can be found at https://doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a103853424

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