[This dataset is embargoed until December 1, 2021]. The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia). All sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester. Full details about this dataset can be found at https://doi.org/10.5285/a5a862da-8db2-4881-9046-610c8573b499
This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use. Full details about this dataset can be found at https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af
[This dataset is embargoed until December 1, 2021]. This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia. Measurements were made monthly, from October 2018 until September 2019. A total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber. The dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019. Full details about this dataset can be found at https://doi.org/10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0
These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometres (km) grid squares of the UK averaged over the years 2016 to 2018. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (Defra) contracts. Full details about this dataset can be found at https://doi.org/10.5285/5999d471-fe1d-45fa-889d-3156edb785a7
[This application is embargoed until March 31, 2022]. This dataset contains a water resource systems model for the Sutlej-Beas system in western Himalayas. It includes all the files required to run the model for the historical period 1989-2008 and climate change scenarios for the middle (2032-2050) and end of the century (2082-2100) considering the uncertainty associated to different Representative Concentration Pathways and Global Climate Models. The WEAP model was built within the “Sustaining Himalayan Water Resources in a Changing Climate” (SusHi-Wat) project (NE/N015541/1), funded by the UK Natural Environment Research Council and the Indian Ministry of Earth Sciences through the Newton-Bhabha Fund. Full details about this application can be found at https://doi.org/10.5285/715db0b2-1d63-4842-ab80-f0f33b39e5e0
This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive (ENA). This dataset contains sequences of 16S rRNA genes of gut microbiota of calves in response to preventive antibiotic therapy florfenicol by DNA-seq. The dataset was created from faecal samples (n=3) of the antibiotic treated animals over seven days and samples (n=3) of animals which have not been subjected to the antibiotic over the same time.
This data is NERC-funded but not held by the EIDC. This data is archived in the European Nucleotide Archive (ENA). This dataset contains sequences of the genomic DNA of gut microbiota of calves in response to preventive antibiotic therapy florfenicol obtained by DNA-seq. Importantly, the dataset also contains sequences of genes resistant to different antibiotics. The dataset was created from faecal samples (n=3) of the antibiotic treated animals over seven days and samples (n=3) of animals which have not been subjected to the antibiotic over the same time.
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.
The dataset provides measurement of timing of germination and seed mass in the F1 progeny, the P1 paternal contribution to F1 offspring (paternal reproductive success), and assesses the effects of flowering time on the mating system for Festuca ovina (F. ovina) after seventeen years of in-situ experimental drought treatment. The study was conducted at the Buxton Climate Change Impacts Laboratory (BCCIL) and began in July 2010. Full details about this dataset can be found at https://doi.org/10.5285/65c14df6-b762-441c-8d8d-9112f7350f03
This R application is an implementation of state tagging approach for improved quality assurance of environmental data. The application returns state-dependent prediction intervals on input data. The states are determined based on clustering of auxiliary inputs (such as meteorological data) made on the same day. The method provides contextual information to assess the quality of observational data and is applicable to any point-based, daily time series observational data. To use this application, the user will need to input two separate csv files: one for state variables and the other for observations. Full details about this application can be found at https://doi.org/10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8