This data set contains information on the age of Sus scrofa (pig) bones and teeth from archaeological sites in the Philippines and the Pacific Islands as estimated by AMS radiocarbon dating. Samples were selected for radiocarbon dating and palaeogenomic analysis from the following archaeological sites in the Philippines and Pacific Islands (Palau): Pamayan (Philippines), Savidug (Philippines) and Uchul a Rois (Palau). Radiocarbon dating was carried out at the Oxford Radiocarbon Accelerator Unit following published protocols. This work was supported by NERC grant NE/S00078X/1. Full details about this dataset can be found at https://doi.org/10.5285/3187bfa1-6346-4569-9062-b5414ec1dd62

[This dataset is embargoed until May 31, 2026]. This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content, gravimetric water content, and soil group. ERAMMP is a resurvey of the 300 locations from the initial monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023, ERAMMP resurveyed 224 of those 300 were resurveyed for soil monitoring. The GMEP project was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales and was managed by the UK Centre for Ecology & Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121

The dataset consists of tree diameter at breast height (DBH) of all trees > 1 cm DBH in 16 parcels of 15 m x 15 m in the tropical heath forest of the Kabili-Sepilok Forest Reserve (Sabah, Malaysia). Also included are the tropical heath forest trees’ leaf element concentration. Tree DBH has been measured three times, one before (2016) and two after (2017 and 2018) the experimental application of Nitrogen fertiliser and CaCO3 to the forest floor. The leaves were collected before (2016) and after (January 2017; July 2017; June 2018) the application of experimental nitrogen and CaCO3 fertilisation. The experimental setting consists of four replicate parcels for the control plots, four replicates for the Nitrogen treatment, four replicates for the CaCO3 treatment and four replicates the Nitrogen and CaCO3 treatments combined. Full details about this dataset can be found at https://doi.org/10.5285/d5ea9e2c-f053-4631-aead-a8a5557488c6

This dataset consists of moth and dung beetle recapture, movement, and trait data from a mark-release-recapture experiment conducted within riparian forest reserves, in an oil palm landscape in Sabah, Malaysian Borneo conducted as part of the SAFE project (Stability of Altered Forest Ecosystems). This resource includes information regarding the recapture frequency and movement behaviour of both moths and dung beetles with respect to three habitat types: riparian forest reserve, continuous forest, and oil palm plantation. These data were collected to assess the extent in which moths and dung beetles use riparian forest reserves, relative to the oil palm plantations, as movement corridors between continuous forest. Data was collected between 2016 and 2017, as part of the Land use Options of Maintaining BiOdiversity and eKosystem functions project (LOMBOK), a part of the Human Modified Tropical Forests Programme (HMTF) Full details about this dataset can be found at https://doi.org/10.5285/4ca7f1ff-7bc4-4077-bc9c-96be1be3e655

Data consists of abundance counts and diversity of pollinators collected in Ghana. Pollinators were sampled with pan-traps between August and November 2016 in 126 greenspaces spread over an urbanisation gradient and three management practices (amenity lands, farmed sites and informal greenspaces) around Sunyani and Techiman, Ghana. All insects were identified to order in the field. Samples were stored in 70% alcohol before being pinned for identification. Bees and wasps were pinned and differentiated with microscopy based on Goulet and Hubert (1993). Bees were subsequently identified with microscopy to morpho-species following Eardley, Kuhlmann and Pauly (2010). Full details about this dataset can be found at https://doi.org/10.5285/2e245944-ee5b-4612-b866-cafa3a129270

This dataset consists of survival and heights of trees planted for forest restoration in South and Southeast Asia and the associated analytical code. The data consists of tree censuses collated from published studies, grey literature and data provided by co-authors, up to/including May 2021. Data are collated from 176 sites in areas where disturbance or clearance of the natural forest had occurred and where trees were then planted and monitored over time. The analyses included here model height growth, extract annual size-standardised growth rates and test the effects of biophysical and climatic conditions and planting regimes on survival and growth. This dataset was created to represent the current state of knowledge on forest restoration outcomes in South and Southeast Asia. This is the full dataset for the survival and height analysis. Full details about this dataset can be found at https://doi.org/10.5285/935781e1-9119-4673-bd09-3fc76ae627d5

This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled and analysed for PyC soil concentration, representing 395 soil samples. Full details about this dataset can be found at https://doi.org/10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5

The data consists of leaf traits and nutrients from litterfall in a fertilised old-growth forest in the Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus, and cation treatments). The dataset includes realized leaf area, and Leaf Mass Area (LMA). The field work was completed in August of 2017, 2018 and 2019. The study was funded by NERC, BDFFP (logistical support), and the Brazilian government (students' scholarship). Full details about this dataset can be found at https://doi.org/10.5285/58b66cdf-451c-42e7-8153-c24ec30631fd

This dataset contains information about the pairwise food web relationships between three trophic groups in montane deciduous forest in Western Sichuan, China: (i) Chinese tree species in the family Fagaceae; (ii) herbivorous Cynipid gallwasps (Hymenoptera: Cynipidae: Cynipini) collected from the tree species; & (iii) parasitoid wasps reared from the Cynipid galls. The records are for samples collected between November 2017 and June 2022 from two sites (Emeishan and Mianning) in Sichuan Province. The dataset contains 9 tables: Three are tables of relationships between galls and trees, at each of Emeishan and Mianning, and for both sites combined. Three are tables of relationships between parasitoids and trees, at Emeishan, Mianning, and for both sites combined. And three are tables of relationships between galls and parasitoids, at Emeishan, Mianning, and for both sites combined. The data were collected during individual tree-level surveys funded by a NERC Discovery grant (NE/T000120/1): ‘TRICOMM: Structure, assembly and evolution of natural tritrophic communities’. Full details about this dataset can be found at https://doi.org/10.5285/b5455ff8-81c3-4c9f-b2d2-6ff1a0db9951

This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase in concentrations of the primary ion (K+) and interfering ion (Na+) to extract the sensitivity and selectivity, respectively using a semiconductor parameter analyser. K+ ion sensing data, measured directly inside a plant stem, are absent as the in vivo experiment should be optimised further. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/89998967-a974-4136-b650-b9af9f9d6969