Data comprise sub-hourly discharge measurements including mean stream height, discharge and stream temperature collected at station S2 on the Siksik stream, North West Territories, Canada, between September 2009 and March 2010. Measurements were taken at a field site based at SikSik Creek a small sub-catchment of the Trail Valley Creek, approximately 60km north of Inuvik. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/1ee887d3-aabd-4fb7-b48e-056229a15c6f

Data comprise meteorological measurements (mean, minimum and maximum daily air temperature, minimum and maximum daily relative humidity, wind speed (kilometres per second at 10metres height), dew point temperature, estimated actual vapour pressure, precipitation, estimated surface resistance, estimated albedo and estimated Potential evapotranspiration (PET)) for the Siksik catchment, North West Territories, Canada for 2013 and 2014. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d

Summary output data (including soil organic carbon concentration, nitrogen, available water and carbon dioxide) from simulations of soil in a small agricultural catchment (Sunjia) in Southeast China (Jianxi province). The simulations were performed using the ECOSSE model; a pool-based carbon and nitrogen turnover model. The simulations were performed using soil and climate input data from the research farm. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2017. Full details about this dataset can be found at https://doi.org/10.5285/2ce71612-df48-40f2-9402-03d93104c623

Data comprise soil organic carbon content from a simulation using the ECOSSE model; a pool-based carbon and nitrogen turnover model. Simulations were performed using input data from the Sunjia research farm in southeast China (Jianxi province). Data here is from simulations using the global version of the ECOSSE model, a package which applies the regular model spatially. Input data for the simulations were provided by the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/876fa724-c3d3-4091-8de2-8140b7c973eb

Data comprise pH and bulk density measurements (location (longitude, latitude), depth, bulk density) for multiple soil profiles in the SikSik catchment, North West Territories, Canada. Samples were collected along a transect in September 2014. Soil samples were taken near additional soil pits. Soil depth and sampling location (latitude and longitude) was recorded. Bulk density was determined according to Blake and Hartge (1986). pH was determined with the 1:5 soil:water suspension method (see supporting documentation). The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714

Inductively Coupled Plasma Mass Spectrometry data, part of a suite of 51 elements using aqua regia ICP-MS techniques at ALS Minerals (Ireland).

There is a report highlighting the approach for model construction and recommendations for any future work. There is an excel file pf processed data including time, centrifuge speed, water pressure, and temperature data. There is a zip folder containing photographs of the models, the instrumentaiton and granular ice used for model construction There is a zip folder containing the raw data.

The dataset contains fruit counts (and counts of seeds within fruits), size measurements, and habitat characteristics for Pyracantha angustifolia, in Tafi Del Valle (Northwest Argentina). Data were obtained from field-based measurements of shrub characteristics in May 2019, when Pyracantha is fruiting. Also included are growth ring counts for shrubs of different sized used to predict the age of shrubs within the dataset. Full details about this dataset can be found at https://doi.org/10.5285/806eea81-1071-45af-a51e-d78f2a5fcd09

The data report plant growth parameters measured on six week old rice plants grown under two contrasting nitrogen treatments. The purpose is to conduct genome wide association mapping of nitrogen response and uses 229 cultivars of the Bengal and Assam Aus Panel. Traits are plant height, shoot dry weight, tiller number and two measures from a Dualex hand-held meter, the nitrogen balance index and the chlorophyl index. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/7ac2ba22-6915-43ca-93cc-d75b9c458b51

The dataset contains concentrations of Total Organic Carbon, Chloride, Fluoride, Bromine, Sulfate, Potassium, Aluminium, Calcium, Iron, Magnesium, Sodium, Phosphorus, Chromium, Manganese, Cobalt, Nickel, Copper, Zinc, Arsenic, Selenium, Molybdenum, Cadmium, Lead and stable water isotopes (δD and δ18O) for 25 groundwater and surface water sampling locations, surveyed over the period February 2017 to May 2018 immediately following Dineo floods. The data were collected as part of the PULA project, which aimed at understanding the immediate effect of heavy rainfall and floods on water resources in arid Botswana and their transitional hydrologic readjustment towards the dry period, and the role of these events in supporting either or both resources replenishment and contamination. The project was co-ordinated by the University of Aberdeen, with partners at the Botswana International University of Science and Technology, the Government of Botswana Department of Water Affairs, and the International Water Management Institute. The project was funded by the Natural Environment Research Council as part of its Urgency grants scheme. Full details about this dataset can be found at https://doi.org/10.5285/c7793128-1961-45d5-aa18-5f023116784b