Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. Site NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information. Full details about this dataset can be found at https://doi.org/10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04

This dataset contains responses from an online choice experiment with associated socio-economic covariates on the topic of environmental land management schemes. Sample: 348 farmers based in the north of England in 2022. Full details about this dataset can be found at https://doi.org/10.5285/1409404f-564f-43c5-81dd-00339a674dc8

This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite, iron-oxyhydroxides: goethite and ferrihydrite) and surface waters (river water, groundwater and seawater). The experiments systematically changed several variables (reaction duration, adsorbent concentration, water type and the pre-experiment adsorbent cleaning procedure). Barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases from two Himalayan rivers (Saptakoshi River and Sunkoshi River) are also provided. Full details about this dataset can be found at https://doi.org/10.5285/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd

The data represent a quantitative measure of aboveground (vegetation) biomass, organic carbon content and aboveground (vegetation) carbon from 144 vegetation samples collected across ten UK saltmarshes between 2019 and 2020. Sites were chosen to represent contrasting habitat types in the United Kingdom, in particular sediment types, vegetation, and sea level history. Full details about this dataset can be found at https://doi.org/10.5285/f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be

This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to 2021. In addition, this data is divided each year for eleven multi-voltine species to provide separate phenology data for distinct flight periods associated with first and subsequent generations. Phenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/10.5285/0c59eb20-26e3-4066-86f5-418afae18769

This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2019 until the end of 2020. Full details about this dataset can be found at https://doi.org/10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559

[This dataset is embargoed until March 12, 2026]. The data resource consists of soil chemical measurements for two aims: 1) to characterise soils of plots where we conducted management experiences to restore secondary forests affected by invasions, and 2) to assess the impacts of tree invasions on the chemical parameters of soils., by comparing native and invaded forest plots. All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years. At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH) in the laboratory. The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage. Full details about this dataset can be found at https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f

This dataset contains baseline soil carbon and nitrogen content within a native forest creation site on the Beldorney Estate, Aberdeenshire, Scotland. 17 samples were collected on a 100 m grid at the site prior to planting. The 100 m grid was extended into adjacent grassland that won’t be planted and 8 additional samples were collected. The 100 m grid samples were all collected in September 2022. Within the planting area 17 plots were left unplanted, these will be used to track natural tree regeneration, and additional soil samples were collected here in November 2022. Soil carbon and nitrogen content will be tracked at the site as the planted and naturally regenerating trees establish. The work was supported by Natural Environment Research Council (NE/W004976/1) as part of the Agile Initiative at the Oxford Martin School and Leverhulme Trust as part of the Leverhulme Centre for Nature Recovery at the University of Oxford. Full details about this dataset can be found at https://doi.org/10.5285/75fc1418-b0ff-4dca-9b78-70c3c82d94b7

This report contains heavy metal concentrations (As, Ba, Cr, Cu, Cd, Fe, Hg, Pb, Mn, Ni, Sr, V and Zn) and sedimentological characteristics (particle-size analysis) which were determined in respectively 61 and 68 samples for the Atlantic margin Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment (SEA4) . A spreadsheet of data is available.

This report is a contribution to the Strategic Environmental Assessment (SEA5) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). This report assesses the socio-economic implications of licensing the SEA 5 area and sets out the results in relation to: oil and gas production, and reserves; capital, operating and decommissioning expenditure; employment; tax revenue; social impacts. The Department of Trade and Industry provided scenarios of possible exploration and development activity in the area and these scenarios were converted into optimistic and pessimistic scenarios. They were then used to produce forecasts of: oil and gas production; oil and gas reserves; expenditure; employment; and tax revenues. The implications for existing facilities in the area are discussed and the potential social impacts.