Demo datasets used by the openECCI Python library
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Demo datasets used by the openECCI Python library for Electron Channelling Contrast Imaging (ECCI) analysis of crystal defects in scanning electron microscope (SEM).EBSD mapFile nameebsd_map/20kv_26nA_15mm WD_4x4 bin_fcc_Fe Map.ctfDescriptionA set of experimental EBSD map from a polycrystalline fcc austenitic stainless steel sample of (664 x 499) acquired using an electron beam of 20kV, 26nA, working distance 15mm, binning 4x4 in a JEOL JSM-7001F FEGSEM equipped with Oxford Instruments Nordlys Max2 EBSD detector.File nameebsd_map/20kv_26nA_15mm WD_4x4 binning Si Map.ctfDescriptionA set of experimental EBSD map from a single crystal Si[001] specimen of (48 x 35) acquired using an electron beam of 20kV, 26nA, working distance 15mm, binning 4x4 in a JEOL JSM-7001F FEGSEM equipped with Oxford Instruments Nordlys Max2 EBSD detector.EBSD master patternFile nameebsd_master_pattern/Fe-master-20kV.h5DescriptionEBSD master pattern of FCC Fe at 20kV simulated using EMsoft package ver. 5.0.20221208.File nameebsd_master_pattern/Si-master-20kV.h5DescriptionEBSD master pattern of Si at 20kV simulated using EMsoft package ver. 5.0.20221208.Electron Channelling Pattern (ECP) from FCC austenitic stainless steel specimenFile namefcc_fe/01_Si_ref.tifDescriptionReference ECP acquired from Si[001] attached with the austenitic stainless steel specimen.File namefcc_fe/01_steel_overview.tifDescriptionA low magnification BSE image acquired from the region has been EBSD mapped on the austenitic stainless steel specimen.File namefcc_fe/steel_ECP_xxx.tif & fcc_fe/steel_SEM_xxx.tifDescriptionImages pairs of higher magnification BSE images and the ECP acquired from the corresponding region.ECP pattern from Si[001] wafer at different stage orientationsFile namesi_wafer/TFS/Si_xtilt_xrot_xxx.tifDescriptionECP acquired from Si[001] attached with the austenitic stainless steel specimen with different SEM stage tilt/rotation combinations.
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Publication Details
Subfield
Biomaterials
Field
Materials Science
Domain
Physical Sciences
Confidence Score
37%
Source
Scholar Data Model