18 datasets found
  1. Raw mechanical data and CTF files

    • figshare.com
    • portalinvestigacion.uniovi.es
    txt
    Updated Mar 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xiong Wang; Junfeng Zhang; Andrea Tommasi; Marco A. Lopez-Sanchez; Zhicheng Jing; Feng Shi; Wenlong Liu; Fabrice Barou (2023). Raw mechanical data and CTF files [Dataset]. http://doi.org/10.6084/m9.figshare.20227329.v5
    Explore at:
    txtAvailable download formats
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Xiong Wang; Junfeng Zhang; Andrea Tommasi; Marco A. Lopez-Sanchez; Zhicheng Jing; Feng Shi; Wenlong Liu; Fabrice Barou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Raw stress-strain data and CTF files

  2. Z

    Set of CFT files from EBSD maps

    • data.niaid.nih.gov
    • zenodo.org
    Updated Dec 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Demouchy (2022). Set of CFT files from EBSD maps [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7486135
    Explore at:
    Dataset updated
    Dec 28, 2022
    Dataset authored and provided by
    Demouchy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  3. Turkey CTF financing

    • data.wu.ac.at
    csv, json, xml
    Updated Mar 30, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Group (2016). Turkey CTF financing [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/NzMyMy1lYW5m
    Explore at:
    csv, json, xmlAvailable download formats
    Dataset updated
    Mar 30, 2016
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    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 .

  4. Supplemental Files and Data for Seismic Anisotropy of Mafic Blueschists:...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, png, txt
    Updated Mar 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jason N Ott; Jason N Ott; Cailey Condit; Cailey Condit; Vera Schulte-Pelkum; Vera Schulte-Pelkum; Rachel Bernard; Rachel Bernard; Matej Pec; Matej Pec (2025). Supplemental Files and Data for Seismic Anisotropy of Mafic Blueschists: EBSD-based constraints from the exhumed rock record [Dataset]. http://doi.org/10.5281/zenodo.10270076
    Explore at:
    csv, png, bin, txtAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jason N Ott; Jason N Ott; Cailey Condit; Cailey Condit; Vera Schulte-Pelkum; Vera Schulte-Pelkum; Rachel Bernard; Rachel Bernard; Matej Pec; Matej Pec
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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)

  5. 2016 Climate Investment Funds – Clean Technology Fund (CTF) results data

    • datasearch.gesis.org
    Updated Feb 25, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Finances, World Bank (2020). 2016 Climate Investment Funds – Clean Technology Fund (CTF) results data [Dataset]. https://datasearch.gesis.org/detail?q=api_worldbank_org_v2_datacatalog-1171
    Explore at:
    Dataset updated
    Feb 25, 2020
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    World Bank Finances, World Bank
    Description

    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 .

  6. Expected co-financing

    • data.wu.ac.at
    csv, json, xml
    Updated Apr 25, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Group (2017). Expected co-financing [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/ZXo3aC1pa3Fz
    Explore at:
    xml, csv, jsonAvailable download formats
    Dataset updated
    Apr 25, 2017
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    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 .

  7. t

    Recrystallization processes, microstructure and texture evolution in...

    • service.tib.eu
    Updated Nov 30, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Recrystallization processes, microstructure and texture evolution in polycrystalline ice during high temperature simple shear - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/png-doi-10-1594-pangaea-901009
    Explore at:
    Dataset updated
    Nov 30, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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)

  8. Dumisani

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank Group (2016). Dumisani [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/Zmk5di14cXhx
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 18, 2016
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    World Bankhttp://worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    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 .

  9. B

    Dataset and supplementary material of the manuscript “Multi-mechanism...

    • borealisdata.ca
    Updated Jun 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Inga Boianju (2025). Dataset and supplementary material of the manuscript “Multi-mechanism Brittle-Ductile Deformation in Carbonate Mylonites” [Dataset]. http://doi.org/10.5683/SP3/G6KRBI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Borealis
    Authors
    Inga Boianju
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  10. n

    EBSD, AMS and AARM data from Whin Sill rock samples

    • data-search.nerc.ac.uk
    Updated May 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Raw experimental data from experiments measuring crystal structure and acoustic velocities of calcium silicate perovskite (NERC grant NE/P017657/1) [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?keyword=Crystallography
    Explore at:
    Dataset updated
    May 31, 2025
    Description

    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.

  11. EBSD Data from GQ - Sunrise Dam Goldmine

    • data.gov.au
    plain
    Updated Jan 9, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Commonwealth Scientific and Industrial Research Organisation (2016). EBSD Data from GQ - Sunrise Dam Goldmine [Dataset]. https://data.gov.au/dataset/ds-dap-csiro%3A19352?q=
    Explore at:
    plainAvailable download formats
    Dataset updated
    Jan 9, 2016
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Description

    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.

  12. d

    Electron Backscatter Diffraction and Energy Dispersive Spectroscopy maps...

    • search.dataone.org
    Updated Mar 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    EarthChem Library (2025). Electron Backscatter Diffraction and Energy Dispersive Spectroscopy maps from migmatitic aluminous schists located in the Wet Mountains, central Colorado [Dataset]. http://doi.org/10.26022/IEDA/111774
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    EarthChem Library
    Area covered
    Wet Mountains
    Description

    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).

  13. EBSD data, Entia Dome Amphibolite samples (2017 sample collection,...

    • zenodo.org
    Updated Apr 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Clementine Hamelin; Clementine Hamelin (2025). EBSD data, Entia Dome Amphibolite samples (2017 sample collection, unoriented) [Dataset]. http://doi.org/10.5281/zenodo.11128117
    Explore at:
    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Clementine Hamelin; Clementine Hamelin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  14. Z

    Data for 'Slip-hydride interactions in Zircaloy-4: Multiscale mechanical...

    • data.niaid.nih.gov
    Updated Sep 16, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wang, Siyang (2020). Data for 'Slip-hydride interactions in Zircaloy-4: Multiscale mechanical testing and characterisation' [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4032417
    Explore at:
    Dataset updated
    Sep 16, 2020
    Dataset provided by
    Wang, Siyang
    Giuliani, Finn
    Britton, T. Ben
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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).

  15. c

    Research Data Supporting "The influence of stress on subsequent superelastic...

    • repository.cam.ac.uk
    bin, tiff
    Updated Jan 6, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Church, Nicole; Jones, Nick (2022). Research Data Supporting "The influence of stress on subsequent superelastic behaviour in Ti2448 (Ti-24Nb-4Zr-8Sn, wt%)" [Dataset]. http://doi.org/10.17863/CAM.76664
    Explore at:
    tiff(288062 bytes), tiff(888341 bytes), bin(16099 bytes), bin(16022 bytes), bin(15700 bytes)Available download formats
    Dataset updated
    Jan 6, 2022
    Dataset provided by
    University of Cambridge
    Apollo
    Authors
    Church, Nicole; Jones, Nick
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  16. Amphibole Fabric and Seismic Anisotropy under Plastic Deformation: Insights...

    • figshare.com
    txt
    Updated Jan 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xiong Wang; Junfeng Zhang; Yinhe Luo (2025). Amphibole Fabric and Seismic Anisotropy under Plastic Deformation: Insights into the Composition and Structure of Orogenic Deep Crust [Dataset]. http://doi.org/10.6084/m9.figshare.28120049.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Xiong Wang; Junfeng Zhang; Yinhe Luo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This database primarily contains raw data from deformation experiments of amphibole-rich rocks as well as EBSD ctf files for all deformed samples.

  17. m

    EBSD data for in situ pure shear tests

    • data.mendeley.com
    Updated May 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lawrence Whitmore (2024). EBSD data for in situ pure shear tests [Dataset]. http://doi.org/10.17632/zfygn768x2.1
    Explore at:
    Dataset updated
    May 23, 2024
    Authors
    Lawrence Whitmore
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  18. Z

    Surfalex HF formability study - Workflow 1 - Generate volume element

    • data.niaid.nih.gov
    • zenodo.org
    Updated Nov 17, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adam J. Plowman (2022). Surfalex HF formability study - Workflow 1 - Generate volume element [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7307575
    Explore at:
    Dataset updated
    Nov 17, 2022
    Dataset authored and provided by
    Adam J. Plowman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Xiong Wang; Junfeng Zhang; Andrea Tommasi; Marco A. Lopez-Sanchez; Zhicheng Jing; Feng Shi; Wenlong Liu; Fabrice Barou (2023). Raw mechanical data and CTF files [Dataset]. http://doi.org/10.6084/m9.figshare.20227329.v5
Organization logo

Raw mechanical data and CTF files

Explore at:
txtAvailable download formats
Dataset updated
Mar 10, 2023
Dataset provided by
Figsharehttp://figshare.com/
Authors
Xiong Wang; Junfeng Zhang; Andrea Tommasi; Marco A. Lopez-Sanchez; Zhicheng Jing; Feng Shi; Wenlong Liu; Fabrice Barou
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Raw stress-strain data and CTF files

Search
Clear search
Close search
Google apps
Main menu