Pesticide concentrations in the River Tone, Somerset, and the River Wensum, Norfolk
| Dataset title | Pesticide concentrations in the River Tone, Somerset, and the River Wensum, Norfolk |
|---|---|
| Dataset creators | Calum Ramage, University of Nottingham, British Geological Survey Christopher Vane, British Geological Survey Raquel Alfama Lopes Dos Santos, British Geological Survey |
| Dataset theme | Geoscientific Information |
| Dataset abstract | Measured concentrations of 52 different modern pesticides in both waters and sediments. Collected during routine sampling as part of the PhD project "Assessing the Impacts of Organic and Inorganic Contaminants on British Rivers: from Sediments to Fish". Samples were collected in 2021 and 2022, and pesticides were measured using UPLC-MS/MS at the British Geological Survey. Site coordinates are included in a separate tab. Full detail on sample collection, analytical methodology and data summaries, including interpretations, can be found in the accompanying thesis. |
| Dataset content dates | 15/10/2021 to 02/09/2022 |
| Dataset spatial coverage | All samples collected from the River Tone, Somerset, and River Wensum, Norfolk. |
| Dataset supply format | MS Excel |
| Dataset language | English-United Kingdom |
| Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
| Dataset publisher | NERC EDS National Geoscience Data Centre |
| Dataset publication date | 19th April 2026 |
| Dataset digital object identifier(DOI) | 10.5285/90aed6b4-4932-4a26-a07a-d78929dee65a |
| Dataset citation text | Ramage, C., Vane, C., Lopes Dos Santos, R.A. (2024). Pesticide concentrations in the River Tone, Somerset, and the River Wensum, Norfolk. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/90aed6b4-4932-4a26-a07a-d78929dee65a |
| Constraints and terms of use | Data under embargo until the associated papers are published. Data will be available under Open Government Licence once the embargo has been lifted. |
| Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item186396 |
| Further Information | University of Nottingham's thesis repository (https://eprints.nottingham.ac.uk/etheses/) |