Data comprise plot location (latitude, longitude, elevation), taxonomic family and species names and measurements of trees (diameter, height, health). Presence of lianas (vines) and their measurements were also recorded. Funder: NERC - Brazil (CONFAP) Newton Fund: “Dry forest biomes in Brazil: biodiversity and ecosystem services” (NE/N000587/1) Full details about this dataset can be found at https://doi.org/10.5285/aa3babe9-072c-42ce-9ea5-9dbb921a922d

Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. Freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) were glued onto oil palm fronds trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments in factorial combinations were applied: caged and uncaged, canopy and ground. The cage exclusion treatments were designed so that most invertebrates could access the fronds but vertebrates could not. Full details about this dataset can be found at https://doi.org/10.5285/03d36ac4-4cf4-46d9-a608-866ba0aab458

Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb

This dataset consists of soil physico-chemical properties (pH, loss on ignition, bulk density, moisture content, carbon stock and concentration, total nitrogen, Olsen phosphorus) from soils sampled from up to 591 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Please note: the use of Olsen P data, particularly in relation to acidic soils, is controversial. Please ensure these data are suitable for your requirements and exercise caution in their use. Full details about this dataset can be found at https://doi.org/10.5285/79669141-cde5-49f0-b24d-f3c6a1a52db8

This dataset includes radiocarbon (14C) content and d13C for river water samples collected across the UK. Samples were concentrated to four major catchments - the Ribble, Conwy, Hampshire Avon and Scottish Dee. Samples were collected at high flow. The dataset also includes suspended particulate matter concentration and % organic carbon content. Full details about this dataset can be found at https://doi.org/10.5285/4962468f-54c4-49ff-adb8-03e9e88cffdd

The datasets contains monthly Leica LS15 precise levelling data which is used to measure monthly peat surface motion from 49 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 49 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between August 2017 and February 2019 covering the 2018 European Drought Event. Also included are loop closures and measurement standard deviation data. Full details about this dataset can be found at https://doi.org/10.5285/f4f79d46-dac7-4628-a0b3-7427761737a6

Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: reduced vegetation cover, normal vegetation management and enhanced vegetation cover. There were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought. The project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1. Full details about this dataset can be found at https://doi.org/10.5285/592051e6-016f-49c6-9ef9-799a0f842100

Summary output data (including soil organic carbon concentration, nitrogen, available water and carbon dioxide) from simulations of soil in a small agricultural catchment (Sunjia) in Southeast China (Jianxi province). The simulations were performed using the ECOSSE model; a pool-based carbon and nitrogen turnover model. The simulations were performed using soil and climate input data from the research farm. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2017. Full details about this dataset can be found at https://doi.org/10.5285/2ce71612-df48-40f2-9402-03d93104c623

This dataset consists of plant species presence and abundance in different sizes and types of plots from 591 1km x 1km square sites surveyed across Great Britain in 2007. Many of the plots are repeated from surveys in 1978, 1990 and 1998. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc

This dataset consists of freshwater pond quality data for sites across Great Britain in 2007. Data include macrophyte species records, chemistry and water quality, and environmental variables such as pollution, grazing and management, from ponds surveyed within a set of 591 1km squares across Great Britain (note - not all squares contained ponds). The survey was part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside, and was carried out by the Centre for Ecology & Hydrology and Pond Conservation. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to freshwater habitat data, habitat areas, vegetation species data, soil data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/cbb9ee99-8078-4dc4-87de-ee99390e579e