The dataset contains water chemistry data collected from peatland headwaters across the Flow Country following a wildfire in May 2019. Samples were collected on a monthly basis from 52 sites across the region from September 2019 to October 2020. Sampling sites were selected to represent peatland catchments in the following conditions: burned near natural, burned drained, unburned near natural, unburned drained and unburned forested. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Full details about this dataset can be found at https://doi.org/10.5285/57748e4f-d0a4-4648-8a61-bd1c2066db1e

[THIS DATASET HAS BEEN WITHDRAWN].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 https://doi.org/10.5285/ac687a66-135e-4c65-8bf6-c5a3be9fd9aa

Hydrologically corrected digital terrain model (DTM) of Plynlimon catchments. The DTM was derived from digitised elevation data from scanned topographic maps.

The dataset includes life history, biometric and weather data collected for banded mongooses at Queen Elizabeth National Park, Uganda, in the period 2017-2020. The data includes a list of experimental individuals, in addition to more general information collected in the field regarding the mongooses life history, body mass measured daily in the field, biometric data collected during trapping events and weather data. Full details about this dataset can be found at https://doi.org/10.5285/ac7ead61-e90b-4295-baad-9ed146f2993e

This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees. Full details about this dataset can be found at https://doi.org/10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2

The dataset details global positioning system (GPS) locations and elevations recorded for 1323 sampling sites across UK saltmarshes. Between 2018 and 2021, soil was sampled at 1323 locations as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks and burial rates. Sites were chosen to represent contrasting habitat types in the UK, in particular sediment types, vegetation and sea level history. 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 https://doi.org/10.5285/d61b6033-be45-4682-b4dc-a2f95feefa7d

[THIS DATASET HAS BEEN WITHDRAWN]. Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020. Full details about this dataset can be found at https://doi.org/10.5285/f463bc5c-bb79-4967-a8dc-f662f57f7020

This dataset provides saturated hydraulic conductivity values which were obtained from samples of peat. The peat was collected adjacent to erosion gullies that were either open, or adjacent to dams on gullies which had been installed as part of peatland restoration. The sites studied were Kinder Scout and Withens Clough in the Peak District, northern England. Values of saturated hydraulic conductivity were obtained from replicate samples. At each sampling location values were obtained for 5 cm long peat samples across three depth ranges (0-10 cm, 35-45 cm, 75-85 cm), and three distances from gully edges (0 cm, 100 cm, 500 cm). Comparisons were made between peat next to blocked gully dams and peat not adjacent to a gully dam and between the two peatland sites. The work was supported by the Natural Environment Research Council (Grant NE/R004595/1). Full details about this dataset can be found at https://doi.org/10.5285/0567ac9f-3e35-4f41-9efa-8e97948401f8

This dataset contains fitness-linked life history traits, environmental data, and protein and gene expression data for Daphnia magna. Life history data were measured in common garden experiments. For each clone of the same genotype across all experiments, size at maturity (distance between the head and the base of the tail spine), age at maturity (first time eggs were observed in the brood chamber), fecundity (total number of offspring released summing first and second brood), and mortality were measured. Critical thermal maximum (CTmax) was measured on the experimental animals. Environmental data consisted of Secchi disk depth (water transparency) ; total phosphorous; and total nitrogen for the years 1971–1999; a record of pesticides 1955–2010; temperature records over the past century 80 km from Lake Ring. Organic and carbonate contents of the sediment was estimated using the loss on ignition (LOI) method. Hb protein data consisted of constitutive Hb protein crude content animals reared in normoxic (saturated oxygen level) conditions at two experimental temperatures, 20 and 30°C. Heat shock protein expression was measured in four heat shock proteins (HSP20, HSP60, HSP70 and HSP90). Total RNA, qPCR, mean CT (cycle threshold) value per sample and per protein were collected. Full details about this dataset can be found at https://doi.org/10.5285/13f878dc-ef87-45d5-be8c-5733c88c30e9

The dataset contains abundances of invertebrates collected from pitfall traps within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning Farm, UK. Rings were fumigated with diesel exhaust, ozone or both pollutants during two full summer seasons (April-October 2018 and 2019). Pitfall traps contained 500 mL 20% propylene glycol (including detergent to break the surface tension), which was filtered through mesh by two field researchers before collecting invertebrate samples within 50mL centrifuge tubes (one tube per pitfall trap) and placing in a -20 °C freezer prior to classification. Full details about this dataset can be found at https://doi.org/10.5285/7262ce48-0cc3-4998-89ee-36d676bd057d