This dataset contains extracted data from studies reporting the effect of temperature on animal reproduction and adult lifespan. To identify studies, we performed a systematic literature search using the online database Web of Science in August 2021 (see Dougherty et al. (2024) for details). From this search, 781 studies were screened, and 339 studies met our inclusion criteria. These studies all experimentally manipulate temperature in a laboratory setting, usually for more than five days. The studies tested 308 species in total, all of which are invertebrates, mostly from the order Insecta (77%) or Arachnida (15%). From these studies we extracted reported data for the average reproductive output and adult lifespan (plus associated variances and sample sizes) for each tested temperature treatment. Means and variances were then converted into standardised effect sizes for further meta-analysis. We used the standardised mean difference (SMD) in reproduction or adult lifespan between pairwise temperature treatments as the effect size (response variable). SMDs were calculated in a pairwise fashion in relation to a single ‘reference’ treatment. The reference treatment was assigned as: a) the treatment closest to the rearing temperature of the study population, or b) the treatment with a temperature closest to 25℃ (in the absence of a reported rearing temperature). For each effect size, we also report information relating to the focal species (e.g. taxonomic group, focal sex, habitat, fertilisation mode) and relevant methodological details (e.g. experimental temperature, exposure duration, which life stage was exposed). The dataset consists of all data needed to repeat the meta-analyses: two csv files containing extracted effect size data, and two phylogenetic trees showing the relationships between the species included in the analysis. This work was funded by the Natural Environment Research Council (NE/X011550/1 & NE/P002692/1), the Biotechnology and Biological Sciences Research Council (BB/W016753/1), the Australian Research Council (Future Fellowship FT220100276), the German Research Foundation (DFG, Heisenberg fellowship FR 2973/11-1), and the European Society for Evolutionary Biology. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/59abe798-1b39-4555-b3a6-8c301a61bcaa

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).