This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from October 2014 until May 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/def51d3d-d653-40ca-8231-a238b0c66975

This dataset contains information about various aspects of the alarm communication network of African savannah herbivores. Data were collected in April 2015 and between September 2015 and October 2016 in the Masai Mara National Reserve, in southern Kenya (1°30’S, 35°10’E). Research focused on the 12 most common herbivore species in the ecosystem. For each of these species, the dataset provides information on vigilance rates, the probability to alarm call in response to different predators, the responsiveness to heterospecific alarm calls, as well as the relative abundance and grouping behaviour of species. Details on study species, study design and data analysis are provided in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/cc0794f0-748a-42aa-b491-2f9b65c771a6

This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions. The overall purpose of the measurements made by this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71

The data contains bird species records from the Vale do Paraíba and Serra do Mar regions in the state of São Paulo, Brazil. Bird species were surveyed using point counts between December 2015 and February 2017, with four temporal replicates per point for which the number of replicates in which each bird species was detected is recorded. A total of thirty-four fragmented and fifteen near continuous land-use landscapes were surveyed using a nine-point grid system with each point separated by 75m. For fragmented landscapes three of the points were situated within a native forest fragment, three at the fragment edge and three in the surrounding matrix habitat. Fifteen fragments had a Eucalyptus plantation matrix and nineteen had a pasture matrix. Continuous land-use landscapes were split equally between native forest, plantation forest and pasture. A total of 267 bird species were detected across the different land-use types. Full details about this dataset can be found at https://doi.org/10.5285/45f5c9eb-7bd3-435f-97f3-ce149f3b381c

The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1. Full details about this dataset can be found at https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37

[This dataset is embargoed until December 8, 2025]. 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 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

This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1). Full details about this dataset can be found at https://doi.org/10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42

This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa

This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in Nottinghamshire, UK. The fish were then used in a quantitative trait loci (QTL) experiment to determine the genomic regions associated with various phenotypic traits in the fish. The phenotypic information includes body length, body weight, sex, whether species of the parasite Schistocephalus was observed in the body cavity, and the composition of the body of the fish (determined by ICPMass Spectromotry) including the following elements: B, Na, Mg, P, S, K, Ca, Ti, Li, Be, Al, V , Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb, U Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e7797949-8b96-423e-870e-69e8314dbe90