This repository contains scripts for running a custom implementation of "SerialTrack" designed for 2D X-ray projection images taken during in situ micro-X-ray computed tomography (XCT) experiments. The particle tracking-based technique allows for surface displacement and strain fields to be measured during, for example, mini-tensile test motions. This provides quantitative visualization of non-uniformities in the strain field (i.e., necking, shear banding), direct measurement of applied strain to supplement crosshead-based data, and quantification of system drift, among other uses. The code is written in Matlab and developed under Releases 2021b - 2023b under Windows 10. In total the dataset consists of about 250 MB and 79 files.

These sets of automated serial sectioning electron backscatter diffraction (EBSD) and X-ray computed tomography (XRCT) measurements were designed to produce spatially registered, multi-modal datasets within a region of interest (ROI) of an additive manufacturing benchmark test series (AM Bench) nickel alloy 718 specimen produced using laser powder bed fusion (PBF-LB) additive manufacturing (AM). The serial sectioning data are in the form of 2D slices which were reconstructed and registered to make 3D data sets that can be analyzed and visualized using open source software. The ROI includes part of a 2.5 mm leg and extends into the baseplate. These measurements are part of an extended dataset associated with the AMB2022-01 set of AM Bench measurements. AMB2022-01 includes powder characterization, detailed information about the build geometry and process, in situ measurements during the build, ex situ measurements of the residual stresses, part distortion following partial removal from the build plate, location-specific microstructure characterization from as-built and heat treated specimens, and microstructure evolution during post-build heat treatments. Detailed descriptions of the AMB2022-01 benchmark measurements and measurement results may be found through the AM Bench webpage at www.nist.gov/ambench. The serial sectioning EBSD and XRCT data in this data publication are also spatially registered with the detailed build file and in situ thermography measurements obtained during the build.

This dataset includes files generated from post-build X-ray computed tomography (XCT) measurements of the four parts built as part of the "Overhang Part X4" in-situ process monitoring dataset (available at https://doi.org/10.18434/M32233). The "Overhang Part X4" dataset was a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files in this dataset include XCT image sequences for each part, and stereolithography files (.STL) of the surface data extracted from XCT, measured by Maxwell Praniewicz at the Precision Machining Research Consortium at Georgia Institute of Technology, Atlanta, GA.

This dataset includes files generated from post-build X-ray computed tomography (XCT) measurements of the four parts built as part of the "Overhang Part X4" in-situ process monitoring dataset (available at https://doi.org/10.18434/M32233). The "Overhang Part X4" dataset was a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files in this dataset include XCT image sequences for each part, and stereolithography files (.STL) of the surface data extracted from XCT, measured by Maxwell Praniewicz at the Precision Machining Research Consortium at Georgia Institute of Technology, Atlanta, GA.

Video tutorials from NIST workshop on X-ray metrology for the semiconductor industry

Video tutorials from NIST workshop on X-ray metrology for the semiconductor industry

Automated Particle Analysis data sets from a TESCAN MIRA3 with 3 Pulsetor EDS detectors automated using NIST DTSA-II with the SEMantics instrument control extension.The data is in the Zeppelin format designed by RJ Lee Group. Tools for reading the Zeppelin format data are available for the Julia language at https://github.com/usnistgov/NeXLParticle.jl.The data may be processed according to the algorithm described in "Registering Particle Data Sets Using a Rotation and Translation Invariant Nearest-Neighbor Algorithm" using the Julia code at https://github.com/usnistgov/EGOS.jl

This data release contains self-potential (SP) monitoring data measured on the flood plain of East Fork Poplar Creek (East Fork) in Oak Ridge, Tennessee and streamflow data measured at streamgage EFK5.4 about 310 meters upstream from the SP monitoring site. Additionally, forward and inverse numerical modeling scripts used to model the electrical-potential field on the East Fork flood plain are provided. SP monitoring data included in this data release were measured at 39 different data-collection points on the east flood plain; 30 points were spaced 3-m apart along an 87-m profile parallel to the edge of the streambank, and 9 points were spaced 5-m apart along a 40-m profile approximately perpendicular to the streambank. The two profiles of SP data-collection points intersected at the approximate midpoint of the profile parallel to the streambank. Transient voltages were measured at each data-collection point every 60 seconds between 16:13 Eastern Standard Time (EST) on March 26, 2023, and 11:41 EST on September 14, 2023. Streamflow data included in this data release overlap the time-period of self-potential monitoring and were measured every 900 seconds between 16:23 on March 26, 2023, and 23:53 on September 14, 2023.

To verify and validate the HR-VPTM technique, both synthetic images and gels with embedded particles undergoingcontrolled deformations were used to compared known and reconstructed deformations at assorted strain-ratesor frame-rates. We simulated the light-field representation of particles undergoing motion with ray tracing andinvestigated the sensitivity of the measurement technique to synthetic noise floor and various motion fields. Inexperiments, a custom-built device deformed a hydrogel specimen in nominally simple shear at applied strain ratesapproximately 2 1/s, while light-field images were collected at approximately 500 frames per second frames per second. Files and formats include .tif images (raw data, input), .mat (reconstructed images, tracking results),.txt, .csv, and .yaml (all metadata).See also the data on MINDS@UW (https://minds.wisconsin.edu/handle/1793/83031), the accompanying paper in Experimental Mechanics (https://doi.org/10.1007/s11340-022-00885-z), and the complete code package released by collaborators at UW-Madison (https://github.com/francklab/HR-VPTM).

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