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

45 record(s)
 
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  • This dataset includes taxonomic and abundance data at the of benthic macroinvertebrates in 10 rivers within the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. This data was created to analyse the response of aquatic biodiversity to glacial retreat, studying rivers in a gradient of glacial coverage. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú Full details about this dataset can be found at https://doi.org/10.5285/db604b78-c616-471b-9028-2d0826a6f50c

  • Data comprise resistance of aquatic bioconstructions (Trichoptera cases), and the loose sediment they were built from, to hydraulic forces measured in a hydraulic flume. S1_Velocimetry_data contains the output after post-processing the acoustic Doppler velocimetry data for each flow stage. This includes the mean and SD of velocity (m/s) for each direction (U – downstream, V – vertical and W- cross stream), the quality of the data recorded by the ADV (Signal to noise ratio and correlation) and calculated values of turbulent kinetic energy and bed shear stress. An explanation of each variable and units are included in the file. S2_Case-grain-size-distribution_data contains the grain size distributions for each caddisfly case obtained by sieving the case sediment. Includes the mass of sediment in half phi size intervals from 0.063 mm to 8 mm diameter. An explanation of each variable and units are included in the file. S3_Entrainment_data contains the percentage of sediment entrained during each flow stage (1-11). Percentage of sediment measured using photography of sediment remaining on the measurement platform. An explanation of each variable and units are included in the file. S4_Case-and-entrainment-threshold_data contains the caddisfly case characteristics (mass and a,b&c axes), critical entrainment thresholds and general movement data for each case and loose sediment. An explanation of each variable and units are included in the file. Full details about this dataset can be found at https://doi.org/10.5285/cce26277-0b17-4c25-aa08-dd1486f89d9b

  • Phenotypes (growth, phenology and form) for Scots pine trees in a long-term common garden trial grown in three nurseries in Scotland and surveyed from 2007 to 2011. Full details about this dataset can be found at https://doi.org/10.5285/29ced467-8e03-4132-83b9-dc2aa50537cd

  • Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C. Full details about this dataset can be found at https://doi.org/10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9

  • This dataset contains time series observations of surface-atmosphere exchanges of carbon, water, and energy, as well as supporting micrometeorological, soil physics, and vegetation measurements. Data have been obtained at ten eddy covariance (EC) flux observation sites across England and Wales. Sites were active for different time periods between 2018 and 2023. Flux data include net ecosystem carbon dioxide exchange (NEE), sensible heat (H), and latent heat (LE). Examples of ancillary and vegetation data include measurements of air temperature, relative humidity, barometric pressure, wind speed and direction, components of radiation, soil heat flux, soil temperature and moisture, precipitation, water table depth, biomass, leaf area index (LAI), and canopy height. 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/10.5285/06d7c463-298c-4c7e-a4c3-55d003aa91cb

  • 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 https://doi.org/10.5285/161315e4-71c1-481d-906c-149ab2e9705c

  • The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section. Full details about this dataset can be found at https://doi.org/10.5285/4731c4da-91fc-4762-9c17-74c8749d4227

  • The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes. 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/10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964

  • Plant and carabid beetle survey data was collected in the summer of 2018 and bird survey data in the summer of 2019 in Glen Affric and Glen Moriston in the Scottish Highlands. Data was collected using a 10 × 10 m plot in each reforestation site for plants and carabid beetles and a 50 m radius plot for birds. The same data was collected in a matched plot in an unforested, grazed area associated with each site and in a matched plot in an unforested area within the fenced site. Five pairs of plots were established in grazed and ungrazed mature Caledonian pineforest, the target of reforestation, to assess the value of the reforestation sites for biodiversity, relative to the unforested state and the target habitat. Full details about this dataset can be found at https://doi.org/10.5285/d31bcee5-736b-4aed-bda2-c11cacd5dfc7

  • This dataset includes measured physicochemical variables in 10 rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included. This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú. Full details about this dataset can be found at https://doi.org/10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6