Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively. Full details about this dataset can be found at https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330

Airborne remote sensing measurements collected on 5th November 2014 onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the Biodiversity and Land-use Impacts on Tropical Ecosystem function (BALI) (MA14_14) project (flight reference: 2014_309). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX, full waveform airborne LiDAR collected using a Leica ALS50II, and digital photography data collected using a Leica RCD105. Data were collected over the Sepilok Forest Reserve, Sabah, Malaysia area.

This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014. This includes the number of trees in plots and the average forest canopy per hectare at different heights. Data were collected during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme. Full details about this dataset can be found at https://doi.org/10.5285/6e18121c-2184-49df-a852-f3227c28d82f

This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing species, 20 non-fixing species. Herbivory metrics are presented at the leaf and seedling level. The data also includes leaf chemical and physical traits hypothesized to influence herbivory at the species level, and seedling-level traits such as stem length and growth rate. Data were collected in 2017 by measuring leaf area missing on seedlings in the BCI 50 ha plot seedling census in order to determine whether fixers have higher rates of herbivory than non-fixers, and what traits govern herbivory. Data were collected by W. Barker, S.J. Wright, L. Comita, B. Sedio and colleagues. Funders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute Full details about this dataset can be found at https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634

Strain data measured on the trunks of 19 trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall. Full details about this dataset can be found at https://doi.org/10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a

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 includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg; leaf N: P concentration ratio; specific maximum root length) measured in February 2020 on 394 seedlings of 15 woody plant species growing in logged in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. The purpose of this data collection was to determine whether the expression of plant functional traits differed between tree seedlings recruited into logged and unlogged forests. This information is important for understanding the drivers of variation in seedling growth and survival in response to logging disturbance, and to uncover the mechanisms giving rise to differentiation in tree seedling composition in response to logging. 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/e738e8af-554a-4940-bb56-267c7377d74d