The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. When processed the photos provide a representative value of LAI (Leaf area index) for the plot. Full details about this dataset can be found at https://doi.org/10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0

This dataset contains photographs of pairs of Streptomyces bacteria and it was collected with the aim of interrogating the manner and means of the interactions. The four imaged Streptomyces were originally isolated from a nature reserve in Minnesota, USA. Images show the interaction phenotypes between each pairing (including self to self), with images taken daily on International Streptomyces Project-2 (ISP-2) agar. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/3f48eb4c-bc0d-49e3-af71-dcff6d88c534

This dataset contains river surface velocity data from video footage and from a kinematic current meter, during five surveys on the River Tweed in Scotland from July 2024 to June 2025. For the video footage, different Ground Control Point (GCP) positions and camera angles are adopted for a comparison of error from various image velocimetry techniques. The footage was captured using a nadir angle with a Unmanned Aerial System (UAS), as well as from an oblique view using an iPhone 14 Pro Max camera, with GCPs positioned at the free water surface and at an elevation above the free water surface. The footage frames were extracted and processed using three different image velocimetry softwares (Particle Tracking Velocimetry (PTV), Particle Image Velocimetry (PIV) and Space-Time Image Velocimetry (STIV)). Raw surface velocity outputs from the softwares are recorded herein. The data also includes the extracted frames from the geometrically corrected image velocimetry frames (orthophotos) from the three different viewing angles, and values for tracer density from a preliminary analysis is also included. Discharge data was collated during the final survey in June 2025 using the velocity-area method and salt dilution gauging. This data is recorded alongside an estimation of discharge from image velocimetry surface velocity data using the trapezoidal area of the river. The data was collated for the purpose of evaluating error propagation in image velocimetry applications under operational and sub-optimal environmental conditions. It was collected as part of a PhD project developed to assess the operational efficacy of image velocimetry applications in the UK. The data is complete and unfiltered. Full details about this dataset can be found at https://doi.org/10.5285/c5563ca5-60b9-475b-a4a4-c2d6209674ea

Hydrological monitoring data for 55 years from 1967 to 2022 for the Coalburn catchment (1.5 km2). The catchment is located in Northern England within Kielder forest, Northumberland, and is the longest running forest research catchment in the UK. In 1972/73 the upland grassland was ploughed and planted with a conifer forest. The trees are now mature and around 30% of the catchment has been felled. From 1967 to 1993 a mixture of hourly and daily data is available and from 1993 onwards all the data is hourly. The data consist of precipitation, discharge, potential evapotranspiration, other meteorological data and snow depths. The data has been extensively quality controlled and can be used for hydrological modelling or data analysis to understand the effects of forests on river flows. Full details about this dataset can be found at https://doi.org/10.5285/88d72918-324e-42a8-a4f2-bbbc322814ff