This datasets contains Electrical Resistivity Tomography surveys taken in the Makutapora Basin, Central Tanzania, using an AGI SuperSting R8 (STING) resistivity meter. Survey geometry, parameters and coordinates are also included. Full details about this dataset can be found at https://doi.org/10.5285/1998da32-a978-41a4-8a66-81df1e625cca

This is a spatial dataset containing polygons representing different geology types in the Moor House National Nature Reserve, northern Pennines, England. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy in the 1950s and 1960s. Full details about this dataset can be found at https://doi.org/10.5285/0e3aefb2-ce86-4d09-8ff0-6d165dfd48db

Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) which is the UK's long-term environmental monitoring programme.

The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section. Full details about this dataset can be found at https://doi.org/10.5285/4731c4da-91fc-4762-9c17-74c8749d4227

This dataset provides catchment boundaries, hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It collates river flows, river levels, groundwater levels, precipitation, potential evapotranspiration and temperature time series at monthly to hourly timescales. Daily hydro-meteorological timeseries are provided from 1st October 1970 - 30th September 2022, hourly hydro-meteorological timeseries are provided from 1st October 1990 09:00 to 1st October 2022 08:00, and groundwater level timeseries cover a range of time periods (ranging from 7 to 72 years with the earliest records beginning in the 1950s). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, hydrometry and human influences. Full details about this dataset can be found at https://doi.org/10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955

The dataset contains carbon dioxide and methane emissions, as well as resorufin production (as a proxy for microbial metabolic activity) and dissolved oxygen concentrations, resulting from laboratory incubation experiments of streambed sediments. The sediments were collected from the upper 10 centimetres of the streambed in the River Tern and the River Lambourn in September 2015, with three samples collected from each river. These samples were collected from three areas: silt-dominated sediment underneath vegetation (fine), sand-dominated sediment from unvegetated zones (medium) and gravel-dominated sediment from unvegetated zones (coarse). The sediment was used in laboratory incubation experiments to determine the effect of temperature, organic matter content, substrate type and geological origin on streambed microbial metabolic activity, and carbon dioxide and methane production. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD (NERC award number 1602135). The work was also part funded through the Seventh Framework Programme (EU grant number 607150). Full details about this dataset can be found at https://doi.org/10.5285/3a0a5132-797c-4ed5-98b9-1c17eaa2f2b7