e96466c3-5b67-41b0-9252-8f8f393807d7 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 2025-11-13T16:25:49 UK GEMINI 2.3 NAD83 / UTM zone 13N 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 2021-05-04 publication https://catalogue.ceh.ac.uk/id/e96466c3-5b67-41b0-9252-8f8f393807d7 10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7 doi: 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 10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7 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 Boschetti, F. University of Exeter F.Boschetti@exeter.ac.uk https://orcid.org/0000-0002-7612-3264 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 Boschetti, F. University of Exeter F.Boschetti@exeter.ac.uk https://orcid.org/0000-0002-7612-3264 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 Cunliffe, A.M. University of Exeter A.Cunliffe@exeter.ac.uk https://orcid.org/0000-0002-8346-4278 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 Clement, R. University of Exeter R.Clement@exeter.ac.uk author Anderson, K. University of Exeter Karen.Anderson@exeter.ac.uk https://orcid.org/0000-0002-3289-2598 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 Sitch, S. University of Exeter S.A.Sitch@exeter.ac.uk https://orcid.org/0000-0003-1821-8561 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 Brazier, R.E. University of Exeter R.E.Brazier@exeter.ac.uk https://orcid.org/0000-0002-8715-0399 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 Hill, T.C. University of Exeter T.C.Hill@exeter.ac.uk https://orcid.org/0000-0002-1740-930X 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 Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned carbon dioxide sensor GEMET - Concepts, version 4.1.3 2019-01-28 creation Chihuahuan Desert GeoNames 2006-01-01 creation Climate and climate change Eddy Covariance tower sonic anemometer relative humidity sensor carbon dioxide concentration sensor Drylands Sevilleta Refuge New Mexico DRIVING-C 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: 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 textTable 1 English utf8 climatologyMeteorologyAtmosphere 2018-11-01 2019-10-31 -109.319 -103.123 28.237 32.556 Comma-separated values (CSV) TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/e96466c3-5b67-41b0-9252-8f8f393807d7 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/e96466c3-5b67-41b0-9252-8f8f393807d7.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 Raw data were pre-processed to check for the following, spike detection, coordinate rotation, frequency response correction, cross correlation and WPL (Webb, Pearman, and Leuning) correction. Half-hourly data were gap-filled using the code published on GitHub and subjected to season-specific u* filtering using the ReddyProc R package v1.2. Cospectra analysis was performed using Hamming window. Spikes in the data were excluded using a method based on Tukey’s fence. Data were supplied to the EIDC as comma seperated value (.csv) files.