Identification

Title

Water chemistry data and elemental content of dissolved organic matter extracted from freshwaters in the UK, 2018-19

Abstract

The data contains site characteristics (water body type, elevation, catchment area) and water chemistry data (pH, dissolved and particulate organic carbon concentrations (DOC and POC)). The composition of DOM extracted by different methods was analysed by elemental analysis; there are data for carbon, hydrogen and nitrogen content. The dataset result from an experiment to determine the reliability of various methods to extract dissolved organic matter (DOM) from freshwaters in the UK. Full details about this dataset can be found at https://doi.org/10.5285/3c77e7bf-78a0-433c-b260-b630e9a36cc0

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/3c77e7bf-78a0-433c-b260-b630e9a36cc0

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/3c77e7bf-78a0-433c-b260-b630e9a36cc0.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/3c77e7bf-78a0-433c-b260-b630e9a36cc0

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

inlandWaters

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Freshwater

DOM

Water Chemistry

Extraction

Geographic location

West bounding longitude

-8.648

East bounding longitude

1.768

North bounding latitude

60.861

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

2018-01-01

End position

2019-12-31

Dataset reference date

date type

publication

effective date

2022-09-21

date type

creation

effective date

2018-01-01

Frequency of update

Quality and validity

Lineage

Water samples were collected from sites across the UK and analysed in 2018 and 2019. Laboratory analysis took place as soon as possible after collection. Data were quality checked and analysed in 2019 and 2020.

Conformity

Conformity report

specification

title

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: Moody, C.S. (2022). Water chemistry data and elemental content of dissolved organic matter extracted from freshwaters in the UK, 2018-19. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3c77e7bf-78a0-433c-b260-b630e9a36cc0

Responsible organisations

Responsible party

organisation name

University of Leeds

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of Leeds

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

publisher

Responsible party

organisation name

University of Leeds

email address

enquiries@ceh.ac.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-09-22T11:05:15

Metadata language