2dca8f2f-a21b-4f77-bc8c-326269ab58d1 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 2025-11-13T16:18:47 UK GEMINI 2.3 WGS 84 Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006 2023-11-01 publication https://catalogue.ceh.ac.uk/id/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 doi: Crossley, A., Harvey, F.J., Ferguson, S., Leaver, D., Fowler, D., Cape, J.N. (2023). Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006. NERC EDS Environmental Information Data Centre 10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements. Full details about this dataset can be found at https://doi.org/10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 Crossley, A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Harvey, F.J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Ferguson, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0009-0004-4311-1672 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 Leaver, D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Fowler, D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2999-2627 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 Cape, J.N. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5538-588X 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 Ferguson, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned Atmospheric Conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication pollutant deposition rain nitrate ammonium chloride sulphate GEMET - Concepts, version 4.1.3 2019-01-28 creation Pollution Pollutant Concentration Cloud chemistry Rain chemistry Seeder-feeder effect 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: Crossley, A., Harvey, F.J., Ferguson, S., Leaver, D., Fowler, D., Cape, J.N. (2023). Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 textTable English utf8 climatologyMeteorologyAtmosphere 2003-09-03 2006-06-28 -3.151 -3.111 55.707 55.72 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/2dca8f2f-a21b-4f77-bc8c-326269ab58d1 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/2dca8f2f-a21b-4f77-bc8c-326269ab58d1.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 A cloud droplet collector and rainwater collector were used to collect samples which were weighed (g) and measured (ml), before taking a sub-sample of 150 ml for ion analysis. The depth of each sample was calculated as the sample volume divided by the cross-sectional area of the funnel used to collect the samples. Samples were analysed by ion chromatography to obtain the combined cloud and rain concentrations and the rain-only concentrations of eight pollutants, which were then used to calculate the deposition of each pollutant. These depositions were then used to calculate the cloud-only depositions and concentrations of each pollutant. Non-marine sulphate concentrations and depositions were derived from sulphate depositions. All formulae used in the above calculations are detailed extensively in the associated supporting document. This dataset was then reviewed and quality checked by S. Ferguson around 20 years after the original data collection to adapt it into a state suitable for reuse. All excel formulae in the original spreadsheet were checked and the units of the variables were derived from the formulae. The data were then cleaned using an R Studio script, separated into three simplified dataframes, and converted to csv. An ion balance was then conducted as a quality control measure with guidance from J Neil Cape. Any occurrences of large ion imbalances, suspected reporting errors or sample bottle overflows were removed from the dataset and all unusual data thought to have been caused by biological contamination or contamination from wind-blown dust have been flagged. Accounting for missing data from lack of sample collection, partially missing data, and removed data, the percentage completeness of each of the datasets is over 70%.