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Raw stress-strain data and CTF files
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Set of .ctf files from EBSD maps (treated data) used in the articles Demouchy et al., submitted at European Journal Mineralogy.
Demouchy, S., Thieme, M., Barou F., Beausir B., Taupin V., Cordier P., (2022-2023). Dislocation and disclination densities in experimentally deformed polycrystalline olivine. Submitted to Eur. J. Min., in revision (minor revision), dec 2022.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
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The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency.
Please note that this is based on 53 out of 55 projects reporting results and does not include (2) CONFIDENTIAL projects. You can learn more about specific indicators at https://www.climateinvestmentfunds.org/cif/sites/climateinvestmentfunds.org/files/CTF%20Monitoring%20and%20Reporting%20Toolkit%20Version%204.6%20.pdf .
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File list and application requirements for supplemental data files for
Seismic Anisotropy of Mafic Blueschists: constraints from the exhumed
rock record.
Files Included in Repository (64 total files):
1. Supplementary Files referenced in article text
Supplemental Figures filelist(.png graphics files)
Fig_S1_ThinSectionLargeMicrographs.png
Fig_S2_1fullCPO.png
Fig_S3_1ppgMeanOrientation.png
Fig_S4_SeismicProperties.png
Fig_S5_TernaryPlotAnisotropyComponents.png
Fig_S6_allSeismicAnisotropies.png
Fig_S7_rockRecipes.png
Fig_S8_AVp_versus_Grade.png
Supplemental Tables filelist(.docx MSWord file)
Table_S1.docx
(Relative error of modal abundaces)
Table_S2.docx
(texture measurements of pfJ, M, and J indices
calculated as 1 point per grain and for full data set)
Table_S3.docx
(symmetry decomposition of Voigt elastic stiffness matrices)
Tables and Supplemental Table Data (.CSV files)
Table_1.CSV
(Samples, localities, PT estimates from literature)
Table_2.CSV
(Referenced single-crystal elastic constants Voigt notation)
Table_3.CSV
(EBSD-based areal modal analysis)
Table_4.CSV
(VRH averaged effective elastic stiffness matrices Voigt notation)
Table_5.CSV
(P and S wave velocities and seismic anisotropies)
Table_S1.CSV
(Relative error of Modal Abundances)
Table_S2.CSV
(Texture indices)
Table_S3.CSV
(Symmetry decomposition of Voigt elastic stiffness matrices)
2. Channel text file (.ctf): exported raw EBSD-data for each sample as a
channel 5 project from AzTec. Can be accessed using MTEX open source
toolbox for Matlab, available here: https://mtex-toolbox.github.io/
filelist:
01GSN2_3.ctf
BAN09.ctf
BAN15.ctf
C18G1003C01.ctf
CY106.ctf
CY107.ctf
DR221.ctf
DR265.ctf
GB15_02A.ctf
LAB34.ctf
LAB555.ctf
LAB570.ctf
LAB572.ctf
SV01_49A.ctf
3. Graphics files of EBSD grain maps for each sample with and without
legends of mapped phases (.png): Each EBSD dataset was cleaned to remove
low confidence indexed-points (mean angle deviation of pattern > 1 degree)
and grain boundaries were reconstructed for all phases. Can be accessed
by most image viewers/graphics editing programs.
filelist:
01GSN2_3 grains legend.png
01GSN2_3 grains.png
BAN09_grains legend.png
BAN09_grains.png
BAN15_grains legend.png
BAN15_grains.png
C18G1003C01 grains legend.png
C18G1003C01 grains.png
CY106_grains legend.png
CY106_grains.png
CY107_grains legend.png
CY107_grains.png
DR221_grains legend.png
DR221_grains.png
DR265_grains legend.png
DR265_grains.png
GB15_02A_grains legend.png
GB15_02A_grains.png
LAB34_grains legend.png
LAB34_grains.png
LAB555_grains legend.png
LAB555_grains.png
LAB570_grains legend.png
LAB570_grains.png
LAB572_grains legend.png
LAB572_grains.png
SV01_49A_grains legend.png
SV01_49A_grains.png
4. Additional files
AVp_VoigtReussVRH_calculations.png
(includes AVp of Voigt-averaged, Reuss-averaged, and VRH-averaged effective
elastic tensors for all samples)
EffectiveElasticStiffnessConstantsVoigtNotation.txt
(text file with the effective elastic stiffness constants used in anisotropy calculations,
listed as Voigt matrices (6x6) with the calculated densities of each sample)
readMe.txt
(complete file list and descriptions)
The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency. Please note that this is based on 53 out of 55 projects reporting results and does not include (2) CONFIDENTIAL projects. You can learn more about specific indicators at https://www.climateinvestmentfunds.org/cif/sites/climateinvestmentfunds.org/files/CTF%20Monitoring%20and%20Reporting%20Toolkit%20Version%204.6%20.pdf .
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency. You can learn more about specific indicators at https://www.climateinvestmentfunds.org/cif/sites/climateinvestmentfunds.org/files/CTF%20Monitoring%20and%20Reporting%20Toolkit%20Version%204.6%20.pdf .
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset contains experimental strain data on lab-grown polycristaline ice under torsion at -7ºC operated at the Institut de Geoscience de l'Environement (IGE, ex-LGGE). The zip file contains for every sample • Strain data during torsion experiments (acii files) • Automatic Ice Texture Analyser data (orientation .dat and grain segmentation skeleton .bmp files) • Electron backscatering diffraction data (.ctf files)
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency.
Please note that this is based on 53 out of 55 projects reporting results and does not include (2) CONFIDENTIAL projects. You can learn more about specific indicators at https://www.climateinvestmentfunds.org/cif/sites/climateinvestmentfunds.org/files/CTF%20Monitoring%20and%20Reporting%20Toolkit%20Version%204.6%20.pdf .
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains raw microstructural data supporting the manuscript “Multi-mechanism Brittle-Ductile Deformation in Carbonate Mylonites.” It includes thin section scans and corresponding electron backscatter diffraction (.ctf) files of carbonate mylonites sampled from multiple major shear zones in the Naukluft Nappe Complex, Namibia. The dataset contains examples of calc-mylonites and dolomitic mylonites, and the files are intended to support interpretation of deformation mechanisms and crystallographic preferred orientations (CPOs) discussed in the manuscript.
This dataset consists of EBSD (electron backscatter diffraction), AMS (anisotropy of magnetic susceptibility) and AARM (anhysteretic anisotropy of remanent magnetisation) files, and magnetic carrier characterisation information, for samples collected from the Whin Sill ,northern England. Described in the paper Unravelling the complex record of magma flow and solidification in sills (Williams et al. 2025 - accepted into the Journal of the Geological Society May 2025). This work was completed at the University of Liverpool. Samples were collected and named WS01, WS02, WQC1C, WQC2C and WQC3C. The dataset includes .ctf files from the samples, which contain crystal orientation data from thin sections, .ran files which include the AMS and AARM fabric information for each sample, and .cur files of magnetic susceptibility data, hysteresis data from VFTB.
Electron back-scatter diffraction data set collected on sample GQ1943_2 from Sunrise Dam Gold Mine. The sample contains fine-grained quartz and dolomite with areas of recrystallised veins. Data is presented as an ASCII text file in the CHANNEL5 text file (.ctf) format that contains match unit parameters, phase ID, Euler angle triplets that use the Z-X'-Z'' (Bunge) definition and pattern quality measure (BC). The metadata and files (if any) are available to the public. Electron back-scatter diffraction data set collected on sample GQ1943_2 from Sunrise Dam Gold Mine. The sample contains fine-grained quartz and dolomite with areas of recrystallised veins. Data is presented as an ASCII text file in the CHANNEL5 text file (.ctf) format that contains match unit parameters, phase ID, Euler angle triplets that use the Z-X'-Z'' (Bunge) definition and pattern quality measure (BC). The metadata and files (if any) are available to the public.
In order to investigate how widespread partial melting is along subgrain boundaries in quartz, we collected combined Electron Backscatter Diffraction (EBSD) and Energy Dispersive Spectroscopy (EDS) data from migmatitic aluminous schists in the Wet Mountains of central Colorado. We include five separate large area maps constructed on two different samples (WMDM108-1 and WMDM108-2) and two detailed maps. Each map includes EBSD data for quartz (.ctf files) and Na, K, Fe, and Al element maps (.csv files).
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Description: This dataset contains EBSD data (.ctf file format) collected on amphibolite (± clinopyroxene, ± garnet-bearing) samples from the Entia dome, central Australia.
Data collection Methods (in brief): EBSD data was collected in 2020 at the University of Minnesota Characterization Facility (multi-user facility), using a JEOL 6500 scanning electron microscope. EBSD data was collected on an Oxford Instruments Symmetry detector; data collection and processing was performed using the AZtec software.
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This is the data bundle for 'Slip-hydride interactions in Zircaloy-4: Multiscale mechanical testing and characterisation'
Arxiv: https://arxiv.org/abs/2003.13610
Acta Materialia: https://doi.org/10.1016/j.actamat.2020.09.038
Authors: Siyang Wang, Finn Giuliani, T. Ben Britton Department of Materials, Royal School of Mines, Imperial College London, London, SW7 2AZ, UK
This data bundle consists of three folders: 'DIC' contains the raw SEM images and the data from DIC analysis; 'EBSD' contains the .ctf files from EBSD experiments; 'Mech_curves' contains the data from mechanical tests.
Any queries please contact Dr. Siyang Wang (siyang.wang15@imperial.ac.uk).
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Data corresponding to the figures in the associated paper. Data is provided for samples of identical composition (Ti-24Nb-4Zr-8Sn wt%) solution treated at 900C for 30 min under vacuum, cooled at different rates. Data includes X-ray diffraction data (.xy files), DSC data (.txt files), EBSD data (.ctf files), ECCI micrographs (.tiff files) and mechanical testing data (.csv files). Please refer to the associated manuscript for more details. EBSD data was processed using Channel 5 Tango software to generate IPF maps and misorientation data.
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This database primarily contains raw data from deformation experiments of amphibole-rich rocks as well as EBSD ctf files for all deformed samples.
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EBSD data files for in situ pure shear tests. Format is .ctf for Oxford Instruments Aztec software. Images are in .tif format. Two versions of the images are with and without the data bar.
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This MatFlow workflow is the first in a set of eight workflows developed during our formability study of the Surfalex HF (AA6016A) material. In this first workflow, we generated a representative volume element (RVE) for the Surfalex HF material. To do this, we sampled 2000 orientations from a CTF file generated from EBSD measurements on the sheet RD-TD plane. The MTEX toolbox was used to sample the texture. The grain morphology was approximated using a Voronoi tessellation that was subsequently stretched by a factor of 1.5 in the RD direction, to mimic the slight grain elongation that was observed. The pre-processing tools in the DAMASK package were used to generated the RVE.
This workflow can be downloaded and explored in a Jupyter notebook, as explained in the GitHub repository here.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Raw stress-strain data and CTF files