Identification

Title

Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/3dc020e5-fa39-4f14-ab6a-b8592b8332f3

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/3dc020e5-fa39-4f14-ab6a-b8592b8332f3.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/3dc020e5-fa39-4f14-ab6a-b8592b8332f3

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

biota

environment

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

-2.5

East bounding longitude

-2.23

North bounding latitude

55.07

South bounding latitude

54.21

Temporal reference

Temporal extent

Begin position

2012-01-01

End position

2014-12-31

Dataset reference date

date type

publication

effective date

2023-05-15

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

email address

l.brown@leeds.ac.uk

web address

https://orcid.org/0000-0002-2420-0088

name: ORCID record

description: 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.

function: information

responsible party role

pointOfContact

Responsible party

organisation name

email address

EMAIL NOT PROVIDED

responsible party role

owner

Responsible party

organisation name

University of Leeds

email address

jeanniebeadle@hotmail.co.uk

responsible party role

author

Responsible party

organisation name

University of Leeds

email address

j.holden@leeds.ac.uk

web address

https://orcid.org/0000-0002-1108-4831

name: ORCID record

description: 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.

function: information

responsible party role

author

Responsible party

organisation name

University of Leeds

email address

l.brown@leeds.ac.uk

web address

https://orcid.org/0000-0002-2420-0088

name: ORCID record

description: 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.

function: information

responsible party role

author

Responsible party

organisation name

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

email address

info@eidc.ac.uk

responsible party role

publisher

Metadata on metadata

Metadata point of contact

organisation name

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

web address

https://eidc.ac.uk/

name: EIDC website

description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.

function: information

responsible party role

pointOfContact

Metadata date

2025-03-24T16:03:54

Metadata language

eng