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100 urn:ogc:def:uom:EPSG::9001

162 record(s)
 
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  • This is a transdisciplinary dataset from ten smallholder farming villages in Patarasi Rural Municipality, Jumla District, Nepal collected during 2021 and 2022. The human component of the dataset includes fortnightly 24-hour dietary recall surveys and monthly anthropometry surveys of 721 participants (adult males, adult females, adolescent girls and children under five) from 200 smallholder households collected over a twelve-month period. For each household, there is also data on socioeconomic status, farming practices, cooking practices and beekeeping practices. The ecological component of the dataset includes plant-pollinator interaction data and flowering phenology data from the same ten farming villages as well as the results of a pollinator exclusion field experiment in fifteen replicate sites along an altitudinal gradient in this region. Taken together, these datasets enable us to understand more about: a) people’s diets, nutritional status and socioeconomic status in rural Nepal; b) which crops provide their nutrients and how these crops are grown; c) which insects pollinate these crops, and; d) how climate change is likely to impact the system.

  • This dataset measures the decomposition of experimental wood blocks, Pinus radiata, over a period of one year in lowland, old growth, tropical rainforest. Wood blocks are placed on the ground or suspended above the ground in mesh bags that either allow or prevent entry of macro-invertebrates. The decomposition of ground placed wood blocks is measured during a period of drought and non-drought. Dry weight of wood blocks is measured at the start and end of the year and proportional weight loss is calculated. Accompanying decomposition data is a data set measuring temperature and relative humidity at 5 m vertical intervals from the ground to the canopy. This data is a contribution from the UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium (http://bali.hmtf.info). Full details about this dataset can be found at https://doi.org/10.5285/01034680-e640-44a2-aab6-2044b4672a95

  • This data resource provides plot-level plant occurrence data for the first five years (2015-2019) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2019. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/cdb8707c-eed7-4da7-8fa3-299c65124ef2

  • This dataset contains tree species and associated measurements from an initial survey of 8 x 1 ha Permanent Sample Plots (PSP) and 2 x 1 ha biomass measurement plots established on the Eastern Plateau of Gorongosa National Park, Sofala, Mozambique, with intention of assessing the long-term impacts of tropical cyclone damage on woodland structure. Methodology used was in accordance with specifications of the Socio Ecological Observatory for Southern African Woodlands (SEOSAW) plot protocol. PSPs were established between 1st August 2019 to 1st October 2019. PSP establishment was undertaken by University of Edinburgh in collaboration with Eduardo Mondlane University and the Mozambique Institute of Agricultural Research (IIAM) with assistance of Gorongosa National Park Scientific Services Department. Full details about this dataset can be found at https://doi.org/10.5285/8ecabd05-9ad6-4e4a-861c-dd767aba57a0

  • Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites for the period of time from January 2021 to December 2021. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for a calibrated ALPHA® uptake rate for the UK CEH Edinburgh research laboratory. Samplers are exposed in monthly cycles at the beginning of each month. Full details about this dataset can be found at https://doi.org/10.5285/ab6e6c87-0433-4b13-bf6c-24c81359cde3

  • This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland from January 2022 to December 2022. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations. Full details about this dataset can be found at https://doi.org/10.5285/4cc95ba0-1e1b-42c6-b58c-719583638bac

  • This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an annual Temperature, Greenness and Wetness (TGWa) model. The laboratory data includes Gross Primary Productivity (GPP) and respiration data from samples of Sphagnum capillifolium and Sphagnum papillosum which were collected from the Forsinard Flows RSPB reserve (Northern Scotland) and subjected to different rainfall simulations, including total drought, in the laboratory. Spectral reflectance of the samples was also measured throughout the experiment, and the vegetation indices calculated are recorded. The field data includes carbon fluxes and spectral reflectance measurements, in this case taken from collars located at three sites within the Forsinard Flows Reserve during the main growing season of 2017 (March to September). Associated measurements of temperature, Photosynthetically Active Radiation (PAR), and moisture content were recorded. The species composition of the collars is also given in the data. The satellite data include Land Surface Temperature (LST) and Normalised Difference Vegetation Index (NDVI) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) used to develop a TG model over the Forsinard Flows reserve, and the Glencar bog in Ireland. The dataset also includes bands used to calculate the Normalised Difference Water Index (NDWI) to develop the TGWa model. The MODIS data used in the implementation of this model to assess restoration progress, and also upscaling effectiveness, are included in the dataset. The work was carried out during a PhD project part-funded by the NERC SCENARIO DTP (Grant number: NE/L002566/1) at the University of Reading, and part-funded by The James Hutton Institute. Full details about this dataset can be found at https://doi.org/10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0

  • This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. This data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. Full details about this dataset can be found at https://doi.org/10.5285/331659d7-da72-48a2-9b52-63c003557990

  • The dataset contains top-of-canopy height before and after the 2015-15 El Niño Southern Oscillation (ENSO) event across a human-modified tropical landscape in Malaysian Borneo. The derived changes in top-of-canopy height from 36,655 repeated measurements were investigated. Data were obtained from airborne LiDAR in November 2014 and April 2016. Topographic Position Index and distance from oil palm plantations are also included to investigate the effects of topography and fragmentation on the canopy height change during the ENSO event. Each observation (pixel) contains the coordinates to assess the spatial effects on canopy changes. Full details about this dataset can be found at https://doi.org/10.5285/534838c8-0e1f-4a04-a837-2e19a4e93797

  • This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021. Full details about this dataset can be found at https://doi.org/10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2