This dataset represents the thickness in metres of the Upper Devonian in the Midland Valley of Scotland (Stratheden Group and Kinnesswood Formation) over the extent of the model developed by Kearsey, T.I., Receveur, M. and Monaghan, A.A., 2024. Modelled hot sedimentary aquifer geothermal potential of Upper Devonian strata in the Midland Valley of Scotland. Uncertainties in the model are linked to the absence of boreholes penetrating both the top and the base of the Upper Devonian (except the Inch of Ferryton well) and poor seismic reflection data in the centre of the basin where it is thickest and deepest. The extent of the geological units is as shown on the published BGS geology maps, considering the re-interpretation of the Kinnesswood Formation as Devonian in age. The model is presented with high uncertainty.

This raster dataset provides the maximum temperature in the Upper Devonian formations in the Midland Valley of Scotland. The reservoir temperature is modelled over the extent of the base of the Kinneswood Formation and Stratheden Group, based on an updated geological model created by Kearsey, T.I., Receveur, M. and Monaghan, A.A., 2024. Modelled hot sedimentary aquifer geothermal potential of Upper Devonian strata in the Midland Valley of Scotland. The model is presented with high uncertainty.

This raster dataset represents the depth in metres to the top of the Upper Devonian in the Midland Valley of Scotland (top Kinnesswood Formation) over the extent of the model developed by Kearsey, T.I., Receveur, M. and Monaghan, A.A., 2024. Modelled hot sedimentary aquifer geothermal potential of Upper Devonian strata in the Midland Valley of Scotland. Uncertainties in the model are linked to the absence of boreholes penetrating both the top and the base of the Upper Devonian (except the Inch of Ferryton well) and poor seismic reflection data in the centre of the basin where it is thickest and deepest. The extent of the geological units is as shown on the published BGS geology maps, considering the re-interpretation of the Kinnesswood Formation as Devonian in age. The model is presented with high uncertainty.

This raster dataset shows the modelled P50 distribution of the theoretical potential 'heat-in-place' (HIP) across the combined Upper Devonian Kinnesswood Formation and Stratheden Group in the Midland Valley of Scotland (PJ/km2), at a resolution of 500 m x 500 m x 50 m. The HIP is calculated for resource temperatures greater than 50 °C (> 1400 m depth), which represents minimum temperature required for direct use of heat from hot sedimentary aquifer resources. The HIP represents the heat resource available in an aquifer according to the USGS definition described in e.g. Muffler and Cataldi (1978). Its calculation is part of the research published by Kearsey, T.I., Receveur, M. and Monaghan, A.A., 2024. Modelled hot sedimentary aquifer geothermal potential of Upper Devonian strata in the Midland Valley of Scotland. The model is presented with high uncertainty.

This dataset contains climate data for Mount Etna in 2017. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna. Dataloggers were deployed at each of the four transplant elevations (500 m, 1000 m, 1500 m, 2000 m) to record temperature. Daily maximum and minimum were extracted to understand how temperature varied across elevation and seasons. Full details about this dataset can be found at https://doi.org/10.5285/35a9dcfa-cf47-44cf-ad1e-8b4b59238768

The dataset consists of observations of aboveground biomass, canopy area, maximum height, stem diameter and sapwood area of Juniperus monosperma (Oneseed Juniper) trees, measured at a site in central New Mexico in 2018 and 2019. In total, 200 stems for sapwood area were measured, and 18 trees for full biomass determinations. Full details about this dataset can be found at https://doi.org/10.5285/871443a9-6634-4eba-abb5-286a1ab58e9b

Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark, and multispectral measurements of canopies. The first two measurements were made using a handheld spectrometer, while the latter were made via airborne imaging from an unmanned aerial system. In addition to these reflectance data, the dataset also includes information on the genotype and/or ploidy level of each sample, as determined by either DNA microsatellite analysis or flow cytometry. All samples are georeferenced. The data include extracted data and raw imagery. Full details about this dataset can be found at https://doi.org/10.5285/d663aeb9-1e3e-40f7-ab9e-494e7646faeb

The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. PLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors ( https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da ). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points. Full details about this dataset can be found at https://doi.org/10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be

The dataset contains chlorophyll fluorescence data from different genotypes of two Senecio species on Mount Etna, Sicily. In 2017, multiple clones of c.40 genotypes for each of two Senecio species were transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna. For each species, five genotypes were chosen randomly and chlorophyll fluorescence was measured on four clones of each chosen genotype at each transplant elevation using an IMAGING-PAM fluorometer Full details about this dataset can be found at https://doi.org/10.5285/28880a9d-3d6b-4e8e-a1d3-8ed939222bdc

This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. The two Senecio species are native to low (S. chrysanthemifolius) and high elevations (S. aethnensis) on Mount Etna. Genotypes were propagated in a glasshouse and multiple clones of each genotype were then transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna in June-July 2017 before measurements were taken. Full details about this dataset can be found at https://doi.org/10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6