This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Kenya between 2021 and 2022. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/de1d9de7-c0b9-4e53-b848-334bcf120d2c

This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in forest or shrubland habitats of Idaho, Kansas, Ohio and Texas between 2018 and 2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/82b67a1c-489e-489c-9617-58ab0575ae61

This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/97528815-bd0b-484d-8e68-a1184828631d

This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Nicaragua between 2022 and 2023. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement. Full details about this dataset can be found at https://doi.org/10.5285/a6a024d9-180f-431c-9d7e-f83439c2de45

This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term capture-mark-recapture study, 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 glaerolus). Upon capture, they were measured, weighted, sexed, aged and a tissue sample and a faecal sample were collected from all mouse individuals for genetic and microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous identification Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponde-tag). The tagged rodents were subsequently tracked with a set of custom-made tracking devices (loggers). Loggers produced dense time-stamped occurrence data suitable for inferring spatio-temporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Tissue samples were used to genotype the wood mouse population and bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition. This work was funded by a NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1) Full details about this dataset can be found at https://doi.org/10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222