This is part of a long-term monitoring dataset from fortnightly sampling at the North Basin of Windermere in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise hypolimnion temperature (TEMP) in degree Celsius, and hypolimnion dissolved oxygen concentration (DO) in mg per litre. All data have been measured in a depth of 60 to 62 m. All data are from January 2005 until the end of 2009. 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/10.5285/83aece7c-6ff0-4414-87ce-71ba27083b92

This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took place in six microcatchments, with four microcatchment kept as a non-restored control. Monthly measurements from October-February, summer/autumn. Full details about this dataset can be found at https://doi.org/10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07

The dataset contains monitoring data for plants (surveyed using quadrats), sward insects (surveyed using suction samplers), insect pollinators (surveyed using transects) and sward structure (surveyed using drop disk height) across 60 calcareous grassland restoration sites from southern England and a further six wildcard sites made up of ancient grasslands and rewilding sites in 2021. Information on site management during the sampling year are also included as well as the historic age of the restoration site. Data were collected with the goal of understanding changes in the complexity of plant and invertebrate communities during grasslands restoration with a focus on the effects of duration of restoration. Full details about this dataset can be found at https://doi.org/10.5285/552977d4-b9aa-4932-a055-5ea3bdf16d56

This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 1x1 km Concentration Based Estimated Deposition (CBED) data for 2018-20 (see related data collection). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia). Full details about this dataset can be found at https://doi.org/10.5285/1f71b91f-32e2-4958-aab0-9baaa4234781

This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/05169766-7355-4c3c-8ade-091db0583f9d

The data available to download comprise hypolimnion temperature (TEMP) in degrees Celsius, and hypolimnion dissolved oxygen concentration (DO) in mg per litre. All data have been measured in a depth of 13.5 to 15 m. All data are from January 2005 until the end of 2009. This is part of a long-term monitoring dataset from fortnightly sampling at Esthwaite Water in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). 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/bc8708ee-cde6-4986-9bff-5508ed4ebdb5

Records of aggregation formation of four groups of 24 female cockroaches (Blaptica dubia) using the same shelter. Each file covers a single group for a single day. Each line in the data represents the confident detection of a single individual, hence the name of the aggregation/photograph is repeated over multiple lines if there were multiple individuals in that photograph. The cockroaches were kept in an incubator at 50%, then 40%, then 30% relative humidity for four days each. After experiencing the three humidities, groups were randomly re-formed and the run repeated. This was then done twice more, giving four replicates in total (16 unique groups). Cockroaches in the same shelter, and therefore in the same photograph, were assumed to be in the same aggregation and so associating in that instance. These data can be used to understand how patterns of social associations change with humidity. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/64467180-c8e0-467e-865a-f42495a89019

The dataset provides visible light images from a camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The data are visible light images, predominately of tree canopies (leaves, branches, stems). This site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. Data were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. Full details about this dataset can be found at https://doi.org/10.5285/4b251915-10af-4bf1-8ad6-be1c65542247

This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf

This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains the mass-to-charge (m/z) and retention time of identified peaks, and their ion intensity in each sample. The relative abundance of these identified features was later compared between pairs of interacting strains to gain insight into changes in their metabolism. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4921f306-5efa-4bf7-a15e-a157c2665889