Resolution

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

31 record(s)
 
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From 1 - 10 / 31
  • 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/10.5285/8a86cb01-46d5-4620-a2be-c15c7616fbe8

  • [This dataset is embargoed until June 21, 2023]. The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides a quantitative measure of soil dry bulk density and organic carbon content across varies substrate and marsh types. 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/d301c5f5-77f5-41ba-934e-a80e1293d4cd

  • [This dataset is embargoed until June 21, 2023]. The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 19 UK saltmarshes. The data provides a quantitative measure of soil dry bulk density, organic carbon content, nitrogen content, CN ratio, N/C ratio, δ13Corg and δ15N across varies substrate and marsh types. Between 2018 and 2021, 33 wide diameter gouge cores (60 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of organic carbon burial rates in saltmarsh soils. Sites were chosen to represent contrasting habitats 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/10.5285/279558cd-20fb-4f19-8077-4400817a4482

  • The dataset includes markers of oxidative state in banded mongooses at Queen Elizabeth National Park, Uganda, in the period 2017-2021. Data are: red blood cell concentrations of glutathione; blood plasma concentrations of malondialdehyde; blood plasma concentrations of protein carbonyls; red blood cell activity of total superoxide dismutase; and whole milk concentrations of malondialdehyde. Full details about this dataset can be found at https://doi.org/10.5285/481c424e-f277-4eb7-9ee0-cbdb5532ef79

  • 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

  • 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

  • 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/10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7

  • 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

  • This dataset contains information on the breeding outcome, breeding site occupancy, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes from 1981-2018. 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/10.5285/33b42f0a-12a5-47fe-aaaf-25f4ee5e13a5

  • 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