1060 12 4943 2 25876 document 4943 Gauci et al data.txt text/plain bffc8c12401ac7e9cd6d0f125cfcf1e2 MD5 61772 2024-02-09 06:34:28 http://edata.bham.ac.uk/1060/1/Gauci%20et%20al%20data.txt 1060 1 1 text/plain text public cc_by_4
Gauci et al data.txt
data 4944 1 25881 document 4944 indexcodes.txt text/plain c579a168d1e94efa048d4398d2a7e700 MD5 6446 2024-02-09 07:14:05 http://edata.bham.ac.uk/1060/2/indexcodes.txt 1060 2 2 text/plain other Generate index codes conversion from text to indexcodes public
indexcodes.txt
data http://eprints.org/relation/isVersionOf http://edata.bham.ac.uk/id/document/4943 http://eprints.org/relation/isVolatileVersionOf http://edata.bham.ac.uk/id/document/4943 http://eprints.org/relation/isIndexCodesVersionOf http://edata.bham.ac.uk/id/document/4943 archive 510 disk0/00/00/10/60 2024-02-13 12:28:16 2024-02-13 13:40:59 2024-02-13 12:28:16 data_collection show Gauci Vincent v.gauci@bham.ac.uk 0000-0002-2452-7291 Barba Josep j.barba@creaf.uab.cat 0000-0001-9094-9516 Research data supporting the publication "Global atmospheric methane uptake by upland tree woody surfaces" 10col_life methane fluxes, CH4 fluxes, greenhouse gas emissions, tree stems Data included in this file contains methane fluxes from tree stems which is the main data from Gauci et al 2024 published at Nature. The dataset contains 6 different variables: Location: place where stem fluxes were measured (i.e. Cuniã in Brazil, Gigante in Panama, MOYA in Brazil, Skogaryd in Sweden and Wytham in the United Kingdom. Species: tree species identity where each measurement was performed. "Multiple species" is assigned to Cuniã and MOYA, since species identity was not recorded. Plot_no: For certain locations, trees were distributed in different plots or areas Height: stem height where each chamber measurement was performed, measured from the ground. Units: meters Tree_no: unique identifier of measured trees Stem_flux: methane flux from tree stems measured with portable greenhouse gas analysers using closet chambers. Units: µg CH4 m-2 hr-1 2024-02-13 published University of Birmingham https://doi.org/10.25500/edata.bham.00001060 Dataset research-data@contacts.bham.ac.uk School of Geography, Earth and Environmental Sciences Birmingham Institute of Forest Research other NERC AXA Research Fund The Royal Society yes yes yes TRUE PI Gauci Vincent v.gauci@bham.ac.uk en