551a10ae-b8ed-4ebd-ab38-033dd597a374 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 2025-11-13T16:22:29 UK GEMINI 2.3 OSGB 1936 / British National Grid Plynlimon research catchment high-frequency hydrochemistry data 2013-02-08 publication 1359550932734 CEH:EIDC: https://catalogue.ceh.ac.uk/id/551a10ae-b8ed-4ebd-ab38-033dd597a374 10.5285/551a10ae-b8ed-4ebd-ab38-033dd597a374 doi: Neal, C., Kirchner, J., Reynolds, B. (2013). Plynlimon research catchment high-frequency hydrochemistry data. NERC Environmental Information Data Centre 10.5285/551a10ae-b8ed-4ebd-ab38-033dd597a374 This dataset includes rainfall, river and stream hydro-chemistry data from the River Hafren (Severn). The dataset represents high-frequency (7 hourly) monitoring of stream hydrochemistry at both the Lower and Upper Hafren site from 2007-2009, as well as rainfall hydrochemistry near the Carreg Wen meteorological site. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water temperature. Full descriptions of the analytical methods used for each determinand is included. The Plynlimon research catchments lie within the headwaters of the River Severn in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research; other linked datasets include river flow, meteorology and a variety of detailed spatial datasets representing the topography, soils and rivers of the catchments. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968. Full details about this dataset can be found at https://doi.org/10.5285/551a10ae-b8ed-4ebd-ab38-033dd597a374 Norris, D. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Neal, C. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author Kirchner, J. ETH Zurich enquiries@ceh.ac.uk author Reynolds, B. Centre for Ecology & Hydrology enquiries@ceh.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner unknown Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication cloud river GEMET - Concepts, version 4.1.3 2019-01-28 creation Wales United Kingdom GeoNames 2006-01-01 creation Hydrology Plynlimon Severn Hafren rainfall stream otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions If you reuse this data, you should cite: Neal, C., Kirchner, J., Reynolds, B. (2013). Plynlimon research catchment high-frequency hydrochemistry data. NERC Environmental Information Data Centre https://doi.org/10.5285/551a10ae-b8ed-4ebd-ab38-033dd597a374 textTable English utf8 inlandWaters 2007-03-06 2009-01-27 -3.821 -3.633 52.415 52.514 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/551a10ae-b8ed-4ebd-ab38-033dd597a374 Download the data Get a copy of this data download https://data-package.ceh.ac.uk/sd/551a10ae-b8ed-4ebd-ab38-033dd597a374.zip Documents Documents available to assist with 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 Originally designed to improve understanding of water use by coniferous forests, monitoring within the Plynlimon/Vyrnwy research catchments has subsequently developed into a multi-disciplinary project underpinning a wealth of hydrological research. The stream hydrochemistry dataset is a combination of chemical determinands and in-situ physical properties. Samples are analysed in laboratories for approximately 50 chemical determinands. Rainfall was sampled automatically using a sequential, continuously open collector mounted above an enclosed carousel of bottles sufficient to collect all the rain falling over each seven-hour period occurring in a week. Instantaneous samples of stream water was also collected every 7 hours using automatic samplers, each fitted with a carousel of bottles sufficient for a week. Each week the samples were returned to the laboratory, filtered, then two subsamples were taken, one was acidified with nitric acid and the other left unacidified. Chemical analysis was by ICP-OES (for major cations, B, S and Si),ICP-MS (for trace elements), ion chromatography (for major and minor anions), potentiometry (for pH), Gran titration (for alkalinity),conductivity meter (for conductivity), Shimadzu analysers (for DOC and TDN) and Seal discrete analyser (for NH4). The complete list of analytes includes F, Br, I, Cl, SO4, NO2, NO3, NH4, TDN, DOC, K, Mg,Na, Ca, B, S, Si, pH, Gran alkalinity, conductivity, Li, Be, Al, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Cd, Sn, Sb, Cs, Ba, W, Pb, U, La, Ce and Pr. The analytical methodologies, detection limits are provided in the accompanying metadata.The Raw Data Archive (denoted by "RDA" at the end of each variable name) is an archive of the raw measurements as reported by the analytical laboratories. These data have not been altered in any way, except to correct glitches that can be traced back to the original laboratory files and analytical sheets and corrected on that basis. We are providing this raw data archive for completeness of documentation, and also in the interests of full transparency concerning data editing that has been subsequently applied. The raw data archive also provides the opportunity to go back to the original data in case new information emerges suggesting that interesting realworld phenomena may have been inadvertently edited out. However, we do not recommend that the raw data archive be used for routine analyses, because the raw data contain some values that are believed to be substantially in error. Instead, we recommend that routine analyses use the edited version of the data, where to the greatest extent possible, problematic data values have been corrected or excluded.The differences between the edited data and the raw data archive are explained in detail in the accompanying metadata file, "Plynlimon 7hour data editing documentation.pdf"