Identification

Title

Growing-season eddy covariance measurements of carbon dioxide, energy and water fluxes of a bioenergy maize crop, Yorkshire, UK, 2021

Abstract

This dataset contains 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over the growing season of a maize crop grown for bioenergy in Yorkshire, UK. Turbulent fluxes were measured using the micrometeorological eddy covariance method between 02/06/2021 and 10/10/2021. The dataset also includes weather and soil physics measurements. Full details about this dataset can be found at https://doi.org/10.5285/9b6c2393-b751-46b4-b139-71ca09321139

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/9b6c2393-b751-46b4-b139-71ca09321139

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/9b6c2393-b751-46b4-b139-71ca09321139.zip

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/9b6c2393-b751-46b4-b139-71ca09321139

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Energy Resources

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

-3.604

East bounding longitude

0.022

North bounding latitude

55.998

South bounding latitude

53.449

Temporal reference

Temporal extent

Begin position

2021-01-01

End position

2021-12-31

Dataset reference date

date type

publication

effective date

2023-11-30

Frequency of update

Quality and validity

Lineage

Fluxes of net ecosystem carbon dioxide exchange, sensible heat, latent heat, atmospheric turbulence and sonic temperature were measured and averaged into 30-minute observations using a LI-COR LI-7200RS enclosed infrared CO2/H2O gas analyser and Gill Windmaster three-dimensional sonic anemometer. Energy fluxes were measured with an Apogee SN-500 net radiometer. Air temperature and relative humidity were measured using a Vaisala HMP155 temperature and humidity probe. Soil temperature and moisture were measured using a METER TEROS 11 temperature and moisture probe. Data was logged with a Campbell Scientific CR1000X datalogger. Fluxes were calculated using EddyPro7 V7.0.6 software. Outliers were removed and gap-filling was done according to the workflow of Morrison et al. (2019).

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: Lloyd, I.L., Morrison, R., Grayson, R.P., Galdos, M.V., Chapman, P.J. (2023). Growing-season eddy covariance measurements of carbon dioxide, energy and water fluxes of a bioenergy maize crop, Yorkshire, UK, 2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/9b6c2393-b751-46b4-b139-71ca09321139

Responsible organisations

Responsible party

organisation name

University of Leeds

email address

gyil@leeds.ac.uk

web address

https://orcid.org/0000-0003-2518-6916

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