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.

Raw stress-strain data and CTF files

Dataset

This dataset was created by Yuri Barbashov

Contents

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 .

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)

1. 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

1. 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

1. 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 .

(A) Transcript expression of Pdgfra for Fig 2C. (B) Transcript expression of Vim, Col1a1, Acta2, Myh11, Wnt2, Wnt2b, Rspo3, Grem1, Wnt5a, Bmp3, and Bmp7 for Fig 2D. (C) Numeric values and statistical analysis of the PdgfraEGFP fluorescence intensity quantification in Fig 3C. (D) Raw data and fold change calculation of the qPCR data shown in Fig 3E. (E) Transcript expression of PDGFRA for Fig 4C. (F) Transcript expression of WNT2B, WNT5A, RSPO3, BMP2, and GREM1 for Fig 4D. Bmp, bone morphogenetic protein; Pdgfra, platelet-derived growth factor receptor A; qPCR, quantitative polymerase chain reaction. (XLSX)

Zip file containing the raw EBSD maps (ctf files). The different maps were analyzed separately as follows:

(1) MAL05_map.ctf – Mylonite. Appears in: Fig. 6a and Table 3 “Qtz mylonite”. Rotate 24 degrees for pole figures.

(2) Z1map1.ctf, Z1map2.ctf, Z1map3.ctf, and Z1map4.ctf – Quartz pod 1. Appears in: Fig. 6b and Table 3 “Qtz pod 1”. Rotate 62 degrees for pole figures.

(3) Z2map2.ctf and z2map3.ctf – Quartz pod 2. Appears in: Fig. 6b and Table 3 “Qtz pod 2”. Rotate 62 degrees for pole figures.

(4) Z4map1.ctf, Z5map1.ctf, Z5map2.ctf, and Z6map2.ctf. – Quartz pod 3. Appears in: Fig. 6b and Table 3 “Qtz pod 3”. Rotate 62 degrees for pole figures.

(5) Z3map1.ctf, Z3map2.ctf, and Z6map1.ctf – Dispersed quartz. Appears in: Fig. 6c; Table 3 “Qtz matrix”. Rotate 62 degrees for pole figures.

Dataset

This dataset was created by Ali

Contents

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 .

FACS, fluorescence-activated cell sorting; FCS, flow cytometry standard. (FCS)

FACS, fluorescence-activated cell sorting; FCS, flow cytometry standard. (FCS)

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.

EBSDinterp is a GUI-based Matlab program to perform microstructurally constrained interpolation of electron backscatter diffraction (EBSD) datasets. The dataset in this collection comprises ASCII Channel Text Files (.ctf) of the raw and processed datasets used in the publication describing EBSDinterp. The dataset contains EBSD data of a large fractured albite aggregate filled with gold and pyrrhotite. This sample was collected from the Hamlet mine of the St Ives camp in Western Australia. Also included is the logfile written out by EBSDinterp on completion of the data interpolation that describes the parameters used in the interpolation of the dataset. Lineage: Data were collected using a Bruker eFlash detector and Bruker Esprit software on a Zeiss ULTRA PLUS field emission gun SEM. Acquisition conditions were a working distance of 23 mm, accelerating voltage of 20 keV, and beam current of 12.1 nA, with the stage tilted at 70° to the horizontal and a thin carbon coat of ~5 nm The data were exported from Esprit to a .ctf format, which can be read by EBSDinterp (Large_Albite.ctf). Interpolation was performed using EBSDinterp using the parameters described in the logfile (also included), and exported back to a .ctf format file following interpolation (Large_Albite_processed.ctf).

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.

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)

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.

Data corresponding to the figures in the associated paper. Data includes X-ray diffraction data (.txt and .xy files), EBSD data (.ctf files) and mechanical testing data (.csv files) for samples in two series (Rolled bar and Plate material), with systematically varying grain sizes (achieved by varying solution-treatment time). Please refer to the associated paper for more information regarding sample conditions and preparation.

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.

Data corresponding to figures in the associated paper. Data is provided for the two processing conditions, prior to and after isothermal ageing. Data includes synchrotron X-ray diffraction data (.xy) of the two conditions prior to and after ageing with identifiable peaks labelled, ECCI micrographs (.tiff files) taken prior to and after ageing to assess the heterogeneous microstructure with labels identifying key regions and higher magnification micrographs presented where necessary, and EBSD data (.ctf file) of the initial solutioned condition to assess texture. Please refer to the associated manuscript for further details regarding data processing.