3dc020e5-fa39-4f14-ab6a-b8592b8332f3 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 2025-11-13T16:20:14 UK GEMINI 2.3 WGS 84 Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014 2023-05-15 publication https://catalogue.ceh.ac.uk/id/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 doi: Beadle, J.M., Holden, J., Brown, L.E. (2023). Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014. NERC EDS Environmental Information Data Centre 10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 Physical, chemical and biological data collected from peatland ponds in the Pennines, UK. Ponds sampled include those created during peatland rewetting as well as naturally-formed ponds. Biological data are aquatic invertebrate abundances in ponds, with physical and chemical data measured concurrently. Full details about this dataset can be found at https://doi.org/10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 Brown, L.E. University of Leeds l.brown@leeds.ac.uk https://orcid.org/0000-0002-2420-0088 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 University of Leeds EMAIL NOT PROVIDED owner Beadle, J.M. University of Leeds jeanniebeadle@hotmail.co.uk author Holden, J. University of Leeds j.holden@leeds.ac.uk https://orcid.org/0000-0002-1108-4831 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 Brown, L.E. University of Leeds l.brown@leeds.ac.uk https://orcid.org/0000-0002-2420-0088 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Chironomidae Coleoptera Hemiptera Diptera Plecoptera Odonata Wikidata 2012-10-29 creation beetle vegetation pond GEMET - Concepts, version 4.1.3 2019-01-28 creation total dissolved phosphorus dissolved aluminium total dissolved nitrogen dissolved oxygen dissolved organic carbon dissolved iron dissolved silica Moor House Cold Fell Tennant Gill Yad Moss Oughtershaw Beck Widdybank Fell Halton Lea Butterburn Flow Geltsdale Macroinvertebrates Chronosequence pH water temperature bugs stone flies dragonflies damselflies true flies 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: Beadle, J.M., Holden, J., Brown, L.E. (2023). Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 textTable English utf8 biota environment 2012-01-01 2014-12-31 -2.5 -2.23 54.21 55.07 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/3dc020e5-fa39-4f14-ab6a-b8592b8332f3 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/3dc020e5-fa39-4f14-ab6a-b8592b8332f3.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 Macroinvertebrate samples were collected using a long-handled net (250 µm mesh). Two minute samples were collected from across all mesohabitats (i.e. open water, floating vegetation, littoral vegetation, bottom sediments) and then an additional one minute was spent searching for surface dwelling taxa. Percent vegetation coverage in each pond (primarily Sphagnum growth) was estimated visually on site prior to sampling. Samples were preserved in 70 % methylated spirits and transported to the laboratory. After sorting, macroinvertebrates were identified to species level (where possible) under a light microscope (up to x40 magnification) using standard keys. Where Chironomidae abundance totalled >50 individuals, sub-samples were extracted (n=50) for identification to the lowest possible taxonomic resolution. Individuals were immersed in a solution of 10% potassium hydroxide and heated to 70°C for 10 minutes. The chironomids were then transferred into a solution of 95% glacial acetic acid for five minutes, then 80% methylated spirits for five minutes before being stored 100% methylated spirits. Individuals were mounted on slides using Euparal and identified using a compound microscope. For each pond, the altitude (m) and location were recorded using a Garmin eTrex Handheld GPS Navigator. Aspect was later calculated by cross-referencing co-ordinates with the Ordnance Survey Terrain50 grid. Pond long axes, short axes and perimeters were measured on site with a tape measure. A minimum of 40 depth measurements were taken in each pond, with more measurements in larger ponds. The approximate water volume was estimated by multiplying the surface area (calculated by multiplying long and short axes) by mean depth. Dissolved oxygen (DO), water temperature and pH were measured on site using a portable HACH HQ30d meter, with the sensor placed in the upper 10cm of the water column. The pH sensor failed during month 12 sampling, therefore missing values were determined using the relationship between pH~[Mg] across all other samples (r=0.81). A 50 mL water sample was filtered on site (0.45-µm filter) and subsequently analysed for total nitrogen (TN), total phosphorus (TP), dissolved organic carbon (DOC), aluminium (Al), iron (Fe) and Silica (Si) using an Analytikjena multi N/C(R) 2100, a San++ Automated Continuous Flow Analyzer and a Thermo Fisher Scientific iCAP7600 Duo ICP-OES.