General soil chemical, physical and microbial properties are presented for soil samples at six depths collected from a field experiment in the Conwy catchment. Samples were collected in May 2015.
Core samples were taken along three transects by trained members of staff the Centre for Ecology and Hydrology and Bangor University. General soil chemical, physical and microbial properties were measured at six depths by trained members of staff, using recognised procedures at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University.
The samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil properties.
The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
Publication date: 2018-04-19
Samples were collected along three transects. Along each transect, intact soil cores were extracted at 2, 12 and 75 metres in intact 4 centimetre diameter and 1 metre length cores. The cores were then wrapped in thin-walled polyethylene (PE) sleeves to maintain core integrity and immediately transferred to the laboratory and stored at 4 degrees Celsius prior to analysis. Samples were taken from the core at where possible six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Analysis was carried out at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University using standard procedures for the following pH.
Electrical conductivity, percent moisture content, percent loss on ignition, Total organic carbon, Total dissolved nitrogen, Microbial carbon, Microbial nitrogen, Soluble reactive phosphorus, Ammonium, C:N ratio, Total carbon, Total nitrogen, Maximum Phosphorous adsorption and Ammonium adsorption.
Full details of the procedures used are provided in the supporting documentation.
Data were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC.