Gridded land use map of Peninsular Malaysia with a resolution of approximate 25 meters for the year 2018. The map includes nine different classes: 1) non-paddy agriculture, 2) paddy fields, 3) rural residential, 4) urban residential, 5) commercial/institutional, 6) industrial/infrastructure, 7) roads, 8) urban and 9) others. The land use map was created as part of the project “Malaysia - Flood Impact Across Scales”. The project is funded under the Newton-Ungku Omar Fund ‘Understanding of the Impacts of Hydrometeorological Hazards in South East Asia’ call. The grant was jointly awarded by the Natural Environment Research Council and the MYPAIR Scheme under the Ministry of Higher Education of Malaysia. Full details about this dataset can be found at https://doi.org/10.5285/36df244e-11c8-44bc-aa9b-79427123c42c
This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository. The dataset contains data from a randomised controlled trial study which aimed to provide an evaluation of a smartphone app-based wellbeing intervention. The data comprise participant demographics and questionnaire responses supplied at the pre-, post- and follow-up phases of the study and geolocation data returned by the app as the participants entered areas designated as urban green spaces.
The raw data contain genotype information for offspring collected from controlled crosses of Teleopsis dalmanni. Parents were taken from laboratory stock populations. Offspring genotypes were assigned by sizing a microsatellite, which distinguishes sex-ratio distorting and nondistorting X chromosomes. Also included is information on offspring sex and food treatment. The processed data summarises genotype counts by collection date and cage id (date/food treatment/cage). Also included is a fitness calculation for each genotype in each cage. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/71529a64-6c1b-4c8f-ae3f-7c4870efd976
Data on timing of breeding, breeding success and diet of the European shag, sampled from the Isle of May population. The data were collected between 1985 and 2015 by visually checking nests and collecting regurgitated diet samples. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study). Full details about this dataset can be found at https://doi.org/10.5285/6231bd5b-ee2d-4cca-a9ef-88006ffa4976
The data set is sequences of microorganisms that were isolated or determined by direct DNA extraction from the Eyjafjallajökull Iceland lava flows. The data is held in BLAST as follows: Clone 16S rRNA gene sequences have been deposited in GenBank under accession numbers HQ898914 to HQ900366.
Data package consists of Nordeste Brazilian Caatinga Long-term Inventory plots for tree and shrub basal area and species identification in 45 x 0.5 ha permanent sample plots. With subsampling of small shrubs and seedlings and physical samples collected. Dataset provided is the species list with metadata (voucher name and number) per plot. This data is NERC-funded but not held by the EIDC. This data is archived in the ForestPlots.net https://doi.org/10.5521/forestplots.net/2020_7
This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).
This dataset contains in situ CO2 efflux, root production and fungal hyphae production from plots distributed across a subarctic landscape in Northern Sweden. 6 paired plots were established in mountain birch forest and 5 paired plots were established in tall shrub tundra where one of each pair was 'girdled' and one acted as a non girdled 'control'. Efflux measurements were made during six sampling campaigns over 2017 and 2018 at an approximate frequency of once per week during each campaign, constituting a time series of measurements. Production measurements integrated root or hyphae production over the whole growing season (June-September) and therefore there is one datapoint per plot per year. Full details about this dataset can be found at https://doi.org/10.5285/4418c631-c39c-467c-b3b8-c75142fcae0a
[This nonGeographicDataset is embargoed until September 15, 2021]. This dataset contains information on the volume of nectar consumed, metabolic rate and activity of bumblebees that were exposed to environmentally relevant dose rates of ionising radiation at the University of Stirling. Data is for two connected experiments collected via direct observation in a laboratory setting. The first experiment investigates variables during and after 10-days of radiation exposure and the second investigates these variables under a dose rate gradient. Funding for this work was via the TREE project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/0da32d7f-eea1-4200-8fde-3a32d0d9ed05
This dataset contains height, foliage height diversity, mean crown area, tree count, bedrock, elevation, age, aspect and slope data for woodlands under 1ha in size that were also covered by Defra’s LiDAR survey in the year 2011 in the Isle of Wight. These data were collected to see if the presence of an adjacent older neighbour affects woodland structure and height in recently created woodlands. Data was processed by the author under NERC Grant NE/S007458/1 PANORAMA - A Yorkshire partnership for training in environmental careers Full details about this dataset can be found at https://doi.org/10.5285/206f93ea-2d8b-4276-b29c-e3be67a0cb60