THIS FILE DESCRIBES DATA FILES FOR: Philipp A. Nauer, Eleonora Chiri, David de Souza, Lindsay B. Hutley, and Stefan K. Arndt. Technical Note: Rapid image-based field methods improve the quantification of termite mound structures and greenhouse-gas fluxes. Biogeosciences bg-2018-43, in press. CONTACT Please contact Philipp A. Nauer (pnauer@gmail.com; pnauer@unimelb.edu.au) if you have any questions or concerns about these files. THIS DRYAD SUBMISSION CONTAINS # X-ray computer tomography raw image files - ZIP archive with original DICOM image files for each termite mound scanned with X-ray tomography; named as follows: NauerPA_201806_termite-mound_XYZ-2016_CT-scan_raw.zip, where XYZ stands for the termite mound ID # X-ray computer tomography binary image files in the folder 'CT_binary' - ZIP archive with three folders ('solid', 'closed', 'holes') of binary image files for each termite mound scanned with X-ray tomography; named as follows: NauerPA_201806_termite-mound_XYZ-2016_CT-scan_binary.zip, where XYZ stands for the termite mound ID ** The binary images were generated from thresholding the raw CT images via the Default algorithm in Fiji/ImageJ, then filling the holes with the Fiji/ImageJ macro 'CT-binary-filling_Fiji_ImageJ_macro.ijm' (see 'data_scripts' folder and publication for further details). They can be used with the supplied Matlab script 'CTscan_volumes.m' to calculate termite-mound volumes and area ratios of slices. # Photogrammetry models in the folder 'PG_models' - ZIP archive for each termite mound with the 3-D mesh, texture and material files (OBJ file format) generated from the photogrammetric reconstruction process using Agisoft Photoscan Standard; named as follows: NauerPA_201806_termite-mound_XYZ-2016_PG-model.zip, where XYZ stands for the termite mound ID # Cross-section images in the folder 'cross-sections' - ZIP archive with raw TIF image and binary image files for each cross-sectioned termite mound; named as follows: NauerPA_201806_termite-mound_XYZ-2016_cross-sections.zip, where XYZ stands for the termite mound ID ** The binary images were generated from thresholding the raw CT images via Hue values in Fiji/ImageJ, then filling the holes using the Fiji/ImageJ macro 'X-sectioning_Fiji_ImageJ_macro.ijm' (see 'data_scripts' folder and publication for further details). # Data and script files in the folder 'data_scripts' - 'CTscan_volumes.m': Matlab script to calculate the volume of a stack of binary images. Further instructions are given in the script file. - 'PG-verification.txt': Photogrammetry verification data. See metadata for details. - 'TM_phys-data.txt': Termite mound physical parameters input data. See metadata for details. - 'TM_physical-characterisation.R': R script to calculate physical parameters of termite mounds and create the basic figures and tables in the paper. Further instructions are given in the script file. - 'CT-binary-filling_Fiji_ImageJ_macro.ijm': Fiji/ImageJ macro to process termite-mound binary images form CT scans, i.e. create a filled (closed) image and difference to original (holes). Resulting images can be processed with the Matlab script 'CTscan_volumes.m' to calculate mound volumes. Further instructions are given in the script file. - 'X-sectioning_Fiji_ImageJ_macro.ijm': Fiji/ImageJ macro to process paintet termite-mound cross-section images, i.e. set a threshold from Hue values, and make a binary and filled (closed) image. Further instructions are given in the script file. # Metadata files in the folder 'metadata' - 'termite_mounds.pdf': List of termite mounds investigated in this study - 'tm_parameters.pdf': List of variables with explanations used to determine termite mound physical parameters