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This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35 °C on average over the sampling period, yet they occur within 1 km of each other and have similar soil moisture, pH, nitrate, ammonium, and phosphate. Full details about this dataset can be found at https://doi.org/10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e
Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as “YYYY-MM-DD hh:mm:ss”. The geographic coordinates of the sensors are provided in GeoJSON format. The column names in the CSV file correspond to the “id” field in the GeoJSON file. Full details about this dataset can be found at https://doi.org/10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8
The dataset contains peat core data from 7 sites in a 1km2 upland (RSPB Forsinard Knockfin Heights) and 7 sites in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained between October 2018 and January 2019. Also included is peat depth data from Knockfin Heights at 100m spacing and Teabag Index data to assess peat decomposition rates at 47 points. Full details about this dataset can be found at https://doi.org/10.5285/3458e0b9-5002-4ddb-bcb3-1c7fb08fb70b
Microwave radiometer data at Halley Station, Antarctica, 2013-present
The dataset contains a variety of atmospheric measurements including time series of air temperature, wind speed and direction, precipitation, irradiance and humidity. A comprehensive atmospheric sampling programme provided measurements of atmospheric particulates, aerosols and gases, including hydrocarbons, nitrogen, oxygen, ozone and sulphur species, carbon monoxide, carbon dioxide, and nitrous and hydrochloric acids. Additional measurements of photolysis rates and ion and radical concentrations were also collected. The data were collected from the vicinity of the north Norfolk coast between 1994 and 1997. The bulk of the data were collected during two field campaigns in the winter (October/November) of 1994 and the summer (May/June) of 1995. During these campaigns data were collected continuously from the University of East Anglia (UEA) Atmospheric Observatory at Weybourne on the north Norfolk coast. The widest range of parameters is available for this station. An instrumented vessel (MV Guardian) was stationed offshore to provide a second sampling site to allow changes in a given air mass to be monitored. The Imperial College London Jetstream Research aircraft made one flight during each campaign to provide a link between the two surface stations and four additional flights in 1996 and 1997. The River-Atmosphere-Coast Study (RACS) was the component of the LOIS programme looking at processes from the river catchment into the coastal sea. Professor John Plane from the Environmental Sciences Department at UEA was the scientific co-ordinator of this sub-project of LOIS. The data are held by BODC as a series of ASCII data files conforming to the NASA AMES 1001 format together with a PDF document that describes the data set.
[This dataset is embargoed until July 9, 2023]. The model-generated dataset includes simulated daily dry matter accumulation of above-ground organs (leaves, stems and grains) of winter wheat and maize, soil water content in different soil layers and organic matter stocks in the topsoil and subsoil layers, and final crop dry matter from 1983 to 2004 (wheat) or 2015 (maize). A prediction of the variables under various future climatic scenarios is also included. The SPACSYS model was applied to a historic experimental site on the Loess Plateau in China. Observed crop yields of winter wheat from 1993 to 2004 and maize from 1983 to 2015 were used to validate the model. The validated model was run again under different climate scenarios from 2015 to 2049 to predict daily dry matter accumulation of above-ground organs including leaves, stems and grains, daily soil water content in different layers and soil organic carbon stocks in the topsoil and subsoil layers. Full details about this dataset can be found at https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
The ABACUS (Arctic Biosphere-Atmosphere Coupling at multiple Scales) research project is a major, linked programme of plant and soil studies, atmospheric measurements, aircraft and satellite observations, and modelling, to improve our understanding of the response of the arctic terrestrial biosphere to climate change. The data collected as part of the ABACUS Work Package 1 (Studies on plant allocation and phenology, and respiration-production ratios for major community types (via harvests, root measurement and isotope tracer experiments) includes root measurements and isotope ratios of plants as follows: Plant data for WP1 harvest and ingrowth core plots, Abisko (Sweden), 15 Jul 2007 - 08 Aug 2007 - Fine Root Length, Abisko (Sweden), 15 Jul 2007 - 08 Aug 2007 - Leaf and stem C and N, Abisko (Sweden), 15 Jul 2007 - 08 Aug 2007 - Fine Root Length, Kevo (Finland), 01 Jun 2008 - 03 Sep 2008 - Leaf and stem C and N, Kevo (Finland), 01 Jun 2008 - 03 Sep 2008
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for CAPEX - Clouds and Aerosol Portugal EXperiments project.
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for URBan VISibility in UK (VISURB) project.
The 20th Century Reanalysis dataset provides 6 hourly analyses on a global grid from 1870 to present produced from a series of 56-member ensemble runs. These data are the from each of the 56 ensemble members from the run covering 1931 to 1935. These data were produced on a 2 degree latitude-longitude (180x91) global grid and include data both at the surface and on pressure levels. The dataset authors request that the following acknowledgment be included in all papers using the dataset: 'Support for the Twentieth Century Reanalysis Project dataset is provided by the U.S. Department of Energy, Office of Science Innovative and Novel Computational Impact on Theory and Experiment (DOE INCITE - http://www.doeleadershipcomputing.org/incite-program/ ) program, and Office of Biological and Environmental Research (BER - http://science.energy.gov/ber/ ), and by the National Oceanic and Atmospheric Administration Climate Program Office (http://www.climate.noaa.gov/).'