Data comprise the collection label details of museums specimens for five bumblebee species (Bombus hortorum, B. muscorum, B. lapidarius, B. pascuorum and B. sylvarum) from five UK museums (Natural History Museum (London), National Museums Scotland, Oxford University Museum of Natural History, Tullie House Museum and Art Gallery, and World Museum (Liverpool)). The details include species, collector, date collected, location, and caste. The location for each specimen was geotagged using Google Maps’ Geocoding application programming interface. Each specimen had its left and right forewing landmarked, with the wing shapes aligned using a Procrustes alignment, and Procrustes distance between the wings calculated. The data came from a digitisation program as part of a NERC funded Standard Grant awarded to R. Gill (NE/P012574/1) and I. Barnes (NE/P012914/1). Full details about this dataset can be found at https://doi.org/10.5285/2696535e-564a-4c6a-877e-515996fa97a1

This dataset consists of structure, biomass (carbon density) and biodiversity (plant species richness) from forest inventory plots at forest restoration sites in South and Southeast Asia and the code for the analyses of these data as conducted in Banin, Raine et al (2023). The recorded data consists of plot level censuses carried out up to May 2021 collated from published studies, grey literature and data provided by co-authors. This represents the collation of data from 11 sites in areas where disturbance had led to the clearance or degradation of natural forest. Plots where tree seedlings were planted (active restoration) and plots where no seedling planting took place (natural regeneration) were censused for structure, biomass and/or biodiversity. Some of the sites in the dataset also recorded data at old growth forest plots for reference, and/or provided repeat measures of forest metrics over time. The dataset also includes the code used for analysis of this plot level data, used to compare the outcome of different restoration approaches. Full details about this dataset can be found at https://doi.org/10.5285/3d3b1d09-9e7a-4144-b8a1-b09a3c573466

These data are data on the outcomes of contests between groups of banded mongooses in Mweya Peninsula, Uganda. Data were collected between 2000 and 2019. The data include information on group membership (number and sex of individuals, age, etc…) as well as physiological data (weight), genetic data (pedigree), and behavioural data (contest outcomes, eviction). Full details about this dataset can be found at https://doi.org/10.5285/be44b9c1-7355-4894-8f0d-b57b219b249b

This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change. The work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’. Full details about this dataset can be found at https://doi.org/10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be