This data set is a combination of trapping data, tracking data, vegetation/habitat data and data on the gut microbiome composition of wild rodents caught in 4 ha study site in Holly Hill in Wytham Woods, Oxford, UK, from November 2018 to November 2019. Three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glareolus). Upon capture, they were measured, weighted, sexed, aged and a faecal sample was collected from all rodent individuals for microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponder-tag). The tagged rodents were subsequently tracked from February to November 2019 with a set of 120 custom-made tracking devices (loggers). Loggers recorded to time-stamped presence of any tagged individual that passed near it, producing occurrence data suitable for inferring spatiotemporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition. The study area was surveyed for vegetation and microhabitat variation by gathering habitat data of each 10 x 10 m grid square across the 4 ha plot. Data included list of plant species (visible in late May), coverage by the main ground cover types, canopy openness and amount of dead wood in each grid square. This work was funded by a NC3Rs Fellowship to Sarah Knowles, and NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1) Full details about this dataset can be found at https://doi.org/10.5285/043513e5-406c-4477-89aa-c96059acb232

This dataset consists of the time series of mass change of the Greenland Ice Sheet and its contribution to global sea level between 1980 and 2018 derived from satellite measurements. The dataset presented here is a reconciled estimate of mass balance estimates from three independent satellite-based techniques - gravimetry, altimetry and input-output method - and its associated uncertainty. This dataset is part of the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The total mass change as well as the partition between surface and dynamics mass balance are provided in this dataset. This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001). ***** PLEASE BE ADVISED TO USE UPDATED DATA ***** The expanded data set (see 'Related Data Set Metadata' link below) has an additional 24 months of measurements, and also includes data for Antarctica.

This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).