[This dataset is embargoed until August 1, 2024]. This dataset includes temperature and precipitation depth measurements in 10 min intervals taken in 2 locations and time periods after forest fires: - Madre del Agua (Tenerife, Spain): 17/11/20 to 19/11/2021 - Thompson reservoir (Victoria, Australia): 28/03/19 to 13/01/2020 Data was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64) to monitor environmental parameters related to runoff occurrence. Full details about this dataset can be found at https://doi.org/10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da

[This nonGeographicDataset is embargoed until April 10, 2025]. This dataset describes measurements of transport of ash by surface runoff using a laboratory setup (flumes). In the experiment, three inflow rates (0.25, 1 and 2 L/min) were applied to two typical ash depths found after wildfires (1 and 3 cm). Variables measured include ash depth (cm), inflow rate (L/min), runoff rate (L/sec), ash transport rate (g/sec), ash concentration in the runoff (g/L). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/351e2785-5a1e-4dbb-97c1-052f1290f0be

[This dataset is embargoed until August 1, 2024]. This dataset describes sediment yields measured in three different locations and time periods after forest fires in UK, Spain and Australia: - Madre del Agua (Tenerife, Spain): 17/08/18 to 14/11/2019 - Thompson (Victoria, Australia): 13/05/19 to 14/01/2020 - Saddleworth (Manchester, UK): 03/08/18 to 30/10/2019 Data were collected using erosion plots and silt fences at hillslope scale to monitor sediment and ash transport during rain events. Full details about this dataset can be found at https://doi.org/10.5285/a0417339-2c2b-4f68-9f47-c77a58cf42ca

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

The dataset contains plant cover by species sampled on three occasions using a grid of 0.5 x 0.5m quadrats within experimental field plots. The percentage cover of each species was estimated visually within each of the nine, 0.5 x 0.5m quadrats in each plot. The total percentage cover was the sum of all individual species’ covers within a quadrat. This study was conducted in the foredune area of Anastasia State Park, located south of St Augustine in Florida, USA between March 2018 to January 2019 Full details about this dataset can be found at https://doi.org/10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245

The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were filmed and timed using a high definition camera. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College.The work was funded by a BBSRC studentship and NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd

[This dataset is embargoed until August 1, 2024]. This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries (Australia, Canada, South Africa, US, UK, The Netherlands, Spain and Austria). For the physical properties, ash was collected from four locations in Tenerife (Spain), Victoria (Australia), Manchester (UK) and Idaho (US). Full details about this dataset can be found at https://doi.org/10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb

This dataset contains information on life history traits of the host Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). The data was collected from a single generation life history experiment investigating the combined effects of daily stochastic temperature fluctuations and resource degradation on individual life history in the Plodia-Venturia host-parasitoid trophic interaction. The Plodia interpunctella data include egg viability, egg status, hatching date, adult emergence date, date of death, sex, egg length in mm, and adult leg (mid-femur) length in mm. The Venturia canescens data include adult emergence date, adult emergence outcome (i.e., the species that emerged from parasitized host larvae), date of death and adult leg (hind-tibia) length in mm. The temperature time series data include the date and daily temperature in the fluctuating temperatures treatment. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/52b6b432-8f69-4b08-8a47-04e40f656f55

This dataset contains information on population counts in experimental populations of Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). The data was collected from a multi-generation microcosm experiment carried out to characterise the combined effects of daily stochastic temperature fluctuations and resource degradation on population responses in the Plodia-Venturia host-parasitoid trophic interaction. The population count data include the weekly total numbers of dead adult hosts and parasitoids and the numbers of live early (L1-L3) and late (L4-L5) host instars and of host and parasitoid pupae in half sections of diet removed weekly and replaced by fresh diet (half sections are a 12th of experimental population boxes). The temperature time series data include the date and daily temperature in the fluctuating temperatures treatment. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/54b722a7-7cda-4817-86a5-b96ad0bb4ae7

This dataset contains urine frequency and volume data measured from tri-axial accelerometers on Welsh mountain ewes free-grazing two contrasting upland field sites (semi-improved and unimproved pasture) in North Wales, across two seasons each (spring and autumn). The data, were collected using tri-axial accelerometers glued to the hind of Welsh Mountain ewes to study the urination behaviour of free-grazing sheep. Using a Boolean algorithm, the characteristic squatting position that ewes exhibit upon urination was detected in the accelerometer data. Initially the performance of the accelerometers with sheep in urine collection pens was assessed. Data were collected on the volume of each urination event and recorded the time of each observed urination event. This initial data was used to assess whether the accelerometers and Boolean algorithm were successful in identifying urination events, but also to ascertain whether the time spent in the squatting position would correlate with the volume of urine produced (thus allowing the technique to be able to estimate urine volume from squatting time only in subsequent field deployments). Information on when, where and how often livestock urinate are key data to be able to assess the scale and nature of nitrogen pollution arising from grazed agroecosystems. Urine patches deposited by grazing livestock are large sources of emissions of the greenhouse gas, nitrous oxide, due to high concentrations of nitrogen deposited over relatively small areas. These data were collected in the NERC funded Uplands-N2O project (grant award: NE/M015351/1). Full details about this dataset can be found at https://doi.org/10.5285/127afd24-d2cd-457f-b837-2dd5d328f101