a5410834-1c38-455b-a850-3fb3434d4bb0 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:20:43 UK GEMINI 2.3 WGS 84 Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021 2022-03-02 publication https://catalogue.ceh.ac.uk/id/a5410834-1c38-455b-a850-3fb3434d4bb0 10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0 doi: Greenfield, L.M., Graf, M., Rengaraj, S., Bargiela, R., Williams, G.B., Golyshin, P.N., Chadwick, D.R., Jones, D.L. (2022). Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021. NERC EDS Environmental Information Data Centre 10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0 This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable microplastic addition where winter barley was grown. The data presented are from field and laboratory measurements. Data was collected by the data authors. The field trial was carried out from September 2020 to July 2021 at Henfaes Field Centre, UK. Research was funded through NERC Grant NE/V005871/1. Do agricultural microplastics undermine food security and sustainable development in developing countries? Full details about this dataset can be found at https://doi.org/10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Greenfield, L.M. Bangor University l.greenfield@bangor.ac.uk https://orcid.org/0000-0003-3273-2655 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Greenfield, L.M. Bangor University l.greenfield@bangor.ac.uk https://orcid.org/0000-0003-3273-2655 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Graf, M. Bangor University m.graf@bangor.ac.uk https://orcid.org/0000-0001-7994-0529 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Rengaraj, S. Bangor University r.saravanan@bangor.ac.uk author Bargiela, R. Bangor University f.bargiela@bangor.ac.uk https://orcid.org/0000-0003-1442-3269 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Williams, G.B. Bangor University g.b.williams@bangor.ac.uk author Golyshin, P.N. Bangor University p.golyshin@bangor.ac.uk https://orcid.org/0000-0002-5433-0350 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chadwick, D.R. Bangor University d.chadwick@bangor.ac.uk https://orcid.org/0000-0002-8479-8157 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Jones, D.L. Bangor University d.jones@bangor.ac.uk https://orcid.org/0000-0002-1482-4209 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bangor University l.greenfield@bangor.ac.uk owner notPlanned Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication nitrogen cycle greenhouse gas degradable plastic waste plastic yield (agricultural) nitrogen oxides soil GEMET - Concepts, version 4.1.3 2019-01-28 creation Bioplastic synthetic plastic otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Greenfield, L.M., Graf, M., Rengaraj, S., Bargiela, R., Williams, G.B., Golyshin, P.N., Chadwick, D.R., Jones, D.L. (2022). Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0 textTable 12 English utf8 biota environment 2020-09-01 2021-07-31 -4.052 -3.994 53.214 53.256 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/a5410834-1c38-455b-a850-3fb3434d4bb0 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/a5410834-1c38-455b-a850-3fb3434d4bb0.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Data was either measured in situ in the field (N2O flux, soil moisture, rainfall and air temperature) or samples were taken, processed, and analysed in the laboratory (soil pH, electrical conductivity (EC), ammonium, nitrate, microbial community composition and crop yield). N2O flux data was measured on a mobile gas chromatograph (GC) system and integrated to obtain peak areas on Peak490Win10Canabis programme. The times, peak areas and sample ID were then exported into a .CHR file and imported into Flux.NET.3.3 which calculated N2O flux as an output in Excel which was exported as .csv file for deposit in EIDC. N2O flux was used to calculate cumulative N2O flux using trapezoidal integration in Excel and saved in a separate .csv file for deposit in EIDC. Soil moisture was measured on Accilmas with data stored as a .csv on a DataSnap that was downloaded and sorted by treatment and saved as a .csv file. Rainfall and air temperature were downloaded from the weather station as .csv file. Soil pH and EC were recorded manually into a notebook and input into an Excel spreadsheet and exported as a .csv file. Soil ammonium and nitrate content was measured using the microplate method using a programme called Gen5. Date was exported into an Excel spreadsheet and absorbance units used to calculate ammonium/nitrate content in milligrams per kilogram using a calibration curve from a set of standards in an Excel spreadsheet. This was exported as a .csv file. Crop growth data was recorded in the field in a notebook and input into an Excel spreadsheet and exported as a .csv file. Crop yield was recorded in a notebook and input into an Excel spreadsheet and exported as a .csv file. Microbial community composition was measured using 16S gene sequencing on an Illumina MiSeq. This generated raw sequencing reads which were processed using Python and filtered using QIIME v1.3.1. creating asv.count.table.csv of counts of each Amplicon Sequence Variants (ASVs) per sample and taxa.table.csv of the taxonomic lineage for each ASVs.