15 urn:ogc:def:uom:EPSG::9001

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  • 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

  • This code uses pathway modelling to look at correlations of exotic plant invasion in tropical rainforest remnants and continuous sites. Partial least squares path-modelling looks at correlations between latent variables that are informed by measured variables. The code examines the relative influence of landscape-level fragmentation, local forest disturbance, propagule pressure, soil characteristics and native community composition on invasion. The total native community is examined first. Then subsets of the native community are modelled separately, adult trees, tree saplings, tree seedlings and ground vegetation. The relationship between the native and exotic communities was tested in both directions. Full details about this application can be found at

  • [This dataset is embargoed until September 1, 2025]. The 3Rs experimental study investigated how trajectories of recovery following a prolonged drought were affected by the prior sediment composition and fine sediment loading. On each of six sampling occasions between December 2022 and March 2023 (Days 1, 8, 13, 29, 57 & 113 following resumption of flow), in each of 12 replicate experimental channels, we collected data on the macroinvertebrate communities on the stream bed surface (benthos), 10cm below the surface of stream bed (hyperheos), and potential colonists dispersing into each of the channels from upstream (drift) and from the aerial insect community (malaise traps). On each occasion we also measured discharge in each of 12 experimental channels as well as the quantity of fine sediment entrained within the stream bed (hyporheic fines). The dataset being deposited contains the following elements: • Abundance records for discrete taxa found in samples of the: o Dry bed sediment - 2.5 kg of bed sediment removed and examined for any macroinvertebrates still persisting in the drying stream bed. o Re-wetted bed sediment – 2.5 kg of bed sediment removed and retained to identify invertebrates that emerge from the sediments on each sampling day (related article for experimental rehydration of dewatered sediments method description). o Benthos - Surber sample (330 µm mesh size) of 0.0225m2 area for 30 seconds. A Surber taken from upstream, middle and downstream thirds of the channel length on each occasion. o Hyperheos - 500ml of water extracted using 60ml syringe from standpipes set 10cm below stream bed surface. A sample taken from upstream, middle and downstream thirds of the channel length on each occasion. o Drift - Nets (330 µm mesh size) deployed for 24hrs at upstream end of each channel. o Aerial communities – Malaise traps deployed bankside for 5 days. • Stream discharge (m3s-1)– stream velocity measured with Valeport 801 Electromagnetic Flowmeter. • Mass of hyporheic fine sediment (gl-1) – dry mass of fine sediment extracted with the 500ml hyporheic sample. The work was supported by the Natural Environment Research Council (NE/X016706/1). Full details about this dataset can be found at

  • The data contain measurements of the morphological shape of threespine stickleback from wild, F1 (filial generation 1) lab-reared, and F2-lab (filial generation 2) reared individuals. These last two groups were bred and reared from eggs in the lab. The files are in tps format and so within these contain the information regarding the population, rearing temperature, and scale factor for each specimen. The populations used are coded in a short form format but we also provide a key to decipher these names in csv format. Photos are also made available with corresponding tps files for F2 hybrid fish. Full details about this dataset can be found at

  • The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme Full details about this dataset can be found at

  • The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides a quantitative measure of soil dry bulk density and organic carbon content across varies substrate and marsh types. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1. Full details about this dataset can be found at

  • The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of encroachment and illegal logging within the Ankeniheny-Zahamena Corridor (CAZ), Madagascar. This analysis includes a summary of suspected encroachment and illegal logging from June 2006 to December 2010 within the "protected area," which consists of zones such as priority for conservation, sustainable use, and controlled settlements. Full details about this dataset can be found at

  • This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra Leone, where cocoa, a driver of deforestation, is the main cash crop. Each trap was set out for 5 days with >99% ethanol. The samples were transported from Sierra Leone to the UK, where they have been sent for metabarcoding for arthropods (using Leray2 PCR primers). The work was supported by the Natural Environment Research Council (Grant NE/S014063/1). Full details about this dataset can be found at

  • This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3). The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8). Data is an extension of the micromet datasets covering 1998-2015 and 2015-2016; adding the time period September 2016 to December 2021. Soil temperatures were measured with T107 sensors, and soil moisture was measured with CS616 sensors, both from Campbell scientific. Temperature and moisture data were recorded in minute intervals, and automatically averaged as half-hourly by the data logger. Half-hourly data were automatically transferred to CEH/UKCEH servers using remote telemetry. Data which were not recorded are marked with “NA”, faulty data were replaced with “-9999”. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. Full details about this dataset can be found at

  • [THIS DATASET HAS BEEN WITHDRAWN]. Phenotypes for Scots pine mother trees and their cones/seed from 21 populations across Scotland in 2007. The seed was used to establish a long-term multisite common garden trial at three nurseries/field sites. Full details about this dataset can be found at