[This dataset is embargoed until April 1, 2025]. This dataset relates to two closely related experiments conducted using similar methodologies: one - Discrimination Ability experiment - from December 2021 to May 2022 and another - Multiple Models experiment - from October 2022 to April 2023. Data describe the responses of wild birds (mainly Great tits Parus major) towards feeding stations where insect-like stimuli concealed a possible food reward. Data include: Passive Integrated Transponder (PIT) tag records of birds visiting the feeders (note that not all birds were tagged); demographic information about the tagged birds; timings and set-up of the feeders used at each session; and which stimuli from each session were “attacked” (and in what order). Full details about this dataset can be found at https://doi.org/10.5285/a1c9b0cc-5585-49c5-a38f-fe05240edccf

This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O collected at sites across the UK in 2021 and 2022. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Floating gas collection chambers were deployed for 24 hours at selected sites to characterise diurnal greenhouse gas emissions from various types of inland water bodies and how these are affected by water body type and seasonality. These data were generated from the Land Ocean Carbon Transfer (LOCATE) project Full details about this dataset can be found at https://doi.org/10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef

[This dataset is embargoed until October 1, 2024]. The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,418 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022. ROBIN represents a significant advance in global-scale, accessible streamflow data. The project was funded the UK Natural Environment Research Council Global Partnership Seedcorn Fund - NE/W004038/1 and the NC-International programme [NE/X006247/1] delivering National Capability Full details about this dataset can be found at https://doi.org/10.5285/3b077711-f183-42f1-bac6-c892922c81f4

Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin. Baseline models for P and N were calibrated over 1998 to 2017. Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population). Please see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details. Full details about this dataset can be found at https://doi.org/10.5285/710fc65c-87eb-4932-9d8e-dc8328742232

This dataset comprises operational data for a point-of-use drinking water treatment system (POU DWTS) located on the University of the West of England’s Frenchay campus. This dataset covers 34 months (November 2019 to September 2022). The POU DWTS was continuously operational throughout this period with parameters presented in this dataset including oxidation reduction potential, free available chlorine, flow rate, discharge pressure, filtration flux, ultrafiltration membrane permeability. Telemetry data is collected over a 5-minute period provide a rolling 5-minute average and is available in a .csv format. Full details about this dataset can be found at https://doi.org/10.5285/d3daab67-dc02-43a0-82c0-afff709c43f4

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

[This dataset is embargoed until December 15, 2025]. This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil. Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators. Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America. Full details about this dataset can be found at https://doi.org/10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2

This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia. Allometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022. Trait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. Regarding the common garden plantations the trees were planted in the ground between November 2019 and January 2019 with planting height ranging between 50 and 100 cm (species dependent). Full details about this dataset can be found at https://doi.org/10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a

Records of offspring production for 192 female cockroaches (Blaptica dubia) kept at either 50% or 30% relative humidity for two weeks during gestation. We then kept all females alone at 50% humidity for 10 weeks and counted the number of nymphs each female produced in up to two clutches. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/5c404d9f-8b66-48a6-8d9d-250dea74d57a

This dataset contains a range of measurements associated with the degradation of Polylactic acid (PLA)-cellulose based teabags, buried in soil. Degradation measurements were calculated following a 7-month burial period from November 2021 to June 2022. Variables measured include: mass change, mass change of PLA, crystallinity change, and pyrolysis gas chromatography-Mass spectroscopy (GCMS) data for each teabag type. This research is part of the BIO-PLASTIC-RISK project, funded by Natural Environment Research Council through the grants NE/V007556/1 and NE/V007246/1. Full details about this dataset can be found at https://doi.org/10.5285/24eddfa6-c97e-4a27-a84f-063ab3981058