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Half hourly fluxes of sensible heat, latent energy and carbon, observed by eight eddy covariance towers in the Northern Chihuahuan Desert, North America, 2018-2019

Publisher
Environmental Information Data Centre
Updated
18 September 2026
Topic
Not set
Licence
Not set

Summary

Half-hourly data from eight eddy covariance towers deployed in the Sevilleta Refuge (New Mexico, USA). The main sensors deployed were sonic anemometer, relative humidity sensor and carbon dioxide concentration sensor . They were deployed and maintained by Fabio Boschetti and Andrew Cunliffe (University of Exeter). The data were collected to test the new design of eddy covariance towers and investigate the spatial variability of fluxes. Data were collected from 2018-11-01 to 2019-11-01. The data contains very few small gaps due to maintenance. Half-hourly data were gap-filled using code published on GitHub. The research was funded through NERC grant reference NE/R00062X/1 - "Do dryland ecosystems control variability and recent trends in the land CO2 sink?" Full details about this dataset can be found at https://doi.org/10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7

Data links

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Supporting information ZIP – 18/9/2026
Download the data – 18/9/2026

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Additional information

Source Metadata
XML, HTML
Date added
15 September 2026
Harvest GUID
e96466c3-5b67-41b0-9252-8f8f393807d7
Extent (Latitude)
32.556° to 28.237°
Extent (Longitude)
-109.319° to -103.123°
Spatial reference system
NAD83 / UTM zone 13N
Dataset reference date (publication)
2021-05-04
Frequency of update
notPlanned
Access constraints
If you reuse this data, you should cite: Boschetti, F., Cunliffe, A.M., Clement, R., Anderson, K., Sitch, S., Brazier, R.E., Hill, T.C. (2021). Half hourly fluxes of sensible heat, latent energy and carbon, observed by eight eddy covariance towers in the Northern Chihuahuan Desert, North America, 2018-2019. NERC Environmental Information Data Centre https://doi.org/10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7
Responsible party
(author, pointOfContact, publisher, custodian)
ISO 19139 resource type
dataset
Metadata language
eng