This datasets contains Electrical Resistivity Tomography surveys taken in the Makutapora Basin, Central Tanzania, using an AGI SuperSting R8 (STING) resistivity meter. Survey geometry, parameters and coordinates are also included. Full details about this dataset can be found at https://doi.org/10.5285/1998da32-a978-41a4-8a66-81df1e625cca

This is a dataset on mortality costs and reproductive success from intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019. We observed naturally occurring, aggressive interactions between social groups and recorded data on individual mortality occurring during and as a result of fighting. We used long term observations of reproductive events to determine individual reproductive success, measured as the total number of offspring assigned to each individual over the lifetime, and the number of offspring born to each individual from extra-group mating. We recorded data on oestrus events in social groups to determine when focal and rival groups were in oestrus simultaneously, and whether they were involved in an intergroup interaction with each other. These data were collected to examine the fitness costs and benefits of intergroup conflict. Full details about this dataset can be found at https://doi.org/10.5285/a1f3d7e5-934f-4b12-ba7c-c372ce9df2c6

These datasets were used for a study investigating the prevalence of diurnal variability of soil nitrous oxide (N¬2O) emissions. The datasets contain 286 diurnal N¬2O flux datasets and 160 diurnal soil temperature datasets, which were extracted from 46 published journal articles that were selected from a literature search and passed through a set of eligibility criteria. The datasets also include processed diurnal N¬2O flux data, which were used to classify the diurnal N¬2O pattern of the datasets. Data of non-diurnal factors from the literature including soil pH, bulk density, soil texture, season of measurement, soil water-filled pore space, irrigation and grazing are also included in the datasets. Full details about this dataset can be found at https://doi.org/10.5285/94e37080-4383-4f6e-b14a-04ac2ac79bf0

This dataset includes the dates and/or duration of all the environmental and phenological events that could be derived from a series of photographs taken by a fixed-point repeat camera system at the UK Environmental Change Network (ECN) site in the Cairngorms National Park, Scotland. The data covers the timing of permanent winter snow fall and subsequent spring melt on northern and eastern facing hill slopes between 2002 and 2019, as well as invertebrate (spittlebug spittlemass) and plant (heather flowering, scots pine leaf flushing) phenological events between 2010 and 2019. Three photographs were taken on a daily basis to maximise the chances of cloud free images, with the clearest image used for analysis. Event detection was generally achieved using manual assessment, but heather flowering showed a high degree of subjectivity, and so an automated pixel colour counting method was used to determine the peak flowering season. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/8e30cead-700c-425c-841f-74c70659666a

The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077

The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained from manual sampling of 22 boreholes; and (2) higher temporal resolution (5-min time-step) timeseries of water table depth, groundwater temperature and electrical conductivity obtained from automatic dataloggers in 3 of the abovementioned boreholes. Full details about this dataset can be found at https://doi.org/10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6

This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK. Cristatella mucedo data additionally covers Northern Ireland. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc

This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 20120. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421

[This nonGeographicDataset is embargoed until May 31, 2022]. The resource consists of cartesian coordinates, expressed in units of pixels, for fish swimming individually, in groups of six individuals, and in groups of six individuals while presented repeatedly with a food stimulus delivering two food items until satiation. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. The data were collected between September 2019 and March 2020 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test how individual temperament and the acquisition of knowledge and satiation interact when animals make foraging decisions in groups. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world. All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42

This is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.