This dataset contains baseline soil carbon and nitrogen content within a native forest creation site on the Beldorney Estate, Aberdeenshire, Scotland. 17 samples were collected on a 100 m grid at the site prior to planting. The 100 m grid was extended into adjacent grassland that won’t be planted and 8 additional samples were collected. The 100 m grid samples were all collected in September 2022. Within the planting area 17 plots were left unplanted, these will be used to track natural tree regeneration, and additional soil samples were collected here in November 2022. Soil carbon and nitrogen content will be tracked at the site as the planted and naturally regenerating trees establish. The work was supported by Natural Environment Research Council (NE/W004976/1) as part of the Agile Initiative at the Oxford Martin School and Leverhulme Trust as part of the Leverhulme Centre for Nature Recovery at the University of Oxford. Full details about this dataset can be found at https://doi.org/10.5285/75fc1418-b0ff-4dca-9b78-70c3c82d94b7

Dataset contains images recorded during a trial of Automated Monitoring of Insects (AMI), Automoth and Diopsis camera systems. The images were taken at five sites in Barro Colorado Island, Panama, during night-time hours from the 23rd to the 26th of January 2023. The parties involved in data collection are listed in the author section. Full details about this dataset can be found at https://doi.org/10.5285/b088d4bd-4abb-46d4-bc90-f4e58c65f324

Audible and ultrasound recordings in Panama for the purpose of monitoring bird and bat calls. The recordings were taken across 4 sites in Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023. Audible recordings were made using SM4 song meter, whilst ultrasound was recorded using a SM4BAT song meter. The Parties involved in data collection are listed in the author section. No data are missing. Full details about this dataset can be found at https://doi.org/10.5285/eeb7c6dc-2ad8-4375-ad86-523a6e570170

[This nonGeographicDataset is embargoed until December 31, 2024]. 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