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Multi-Modal Dataset of the ITZ in CEM I Mortar : Correlating Light and Confocal Microscopy, µXRF, SEM-BSE, EDX, and Nanoindentation on ArBIB-Milled Surfaces

GND
1242293736
ORCID
0000-0001-6002-0829
VIAF
6821163335750103270009
Affiliation
F. A. Finger-Institut für Baustoffkunde
Kleiner, Florian;
ORCID
0009-0007-9412-7529
Affiliation
Materialforschungs- und -prüfanstalt Weimar
Li, Feng

A mortar prism (CEM I) with dimensions of 9 × 3.5 mm² was ion-milled using an argon broad ion beam device (EM TIC 3X, Leica) for a total of 72 h at 6 kV and 2 mA to obtain a large, polished surface. On this surface, multiple imaging and analytical methods were combined: light microscopy (LM), confocal laser microscopy (CM), scanning electron microscopy (SEM) with backscattered electron (BSE) imaging and energy-dispersive X-ray spectroscopy (EDX), micro-X-ray fluorescence (µXRF), and nanoindentation (NI). This dataset contains the image alignments, which were performed using QGIS, alongside the raw data and evaluation scripts (provided as Python Jupyter notebooks).

This dataset contains multiple measurements acquired using the following devices:

µXRF: Orbis, EDAX/AMETEK
SEM: Helios G4 UX, Thermo Fisher Scientific
EDX: XMaxN 80 and Ultim Extreme, Oxford
NI: Hysitron TS 77 Select with a Berkovich tip, Bruker
CM: VK-X3050, Keyence

Methodsize in pxpixel size in nm/pxsize in µm
LM11088 × 5940852.7789455.6 × 5065.5
µXRF1148 × 388*see µXRF description*see µXRF description
SEM-BSE47104 × 1823284.30993971.3 × 1537.1
SEM-EDX1024 × 704
288.722
295.7 × 203.3
NI position 140 × 205.0100 × 200
NI position 265 × 205.0100 × 325
CM6412 × 21381372.78804.8 × 2934.9

The CM dataset contains two scans. The first scan exhibits stitching errors. Therefore, only the second scan is described above and was evaluated. The dataset is included as a .cag file (Keyence VK Series Measurement Data) in CM-RAW_and_CM-XRF_evaluation.7z. This dataset can be opened using the Python package https://github.com/fredericjs/surfalize. The archive also contains a Jupyter Notebook which demonstrates how to open and evaluate this dataset. 

The µXRF dataset is available as a spectrum image file (*.spd) and element-resolved *.BMP files (XRF-RAW.7z). The scaling of this dataset is rather unreliable and was corrected by aligning it to other images.

The SEM-BSE image is stitched from multiple images, which were acquired using MAPS 3 by Thermo Fisher Scientific. Both the stitched file (BSE_High-Res.tif) and the MAPS project file, including the individual images (BSE_High-Res-RAW.7z), are included in this dataset.

The raw EDX data is provided as an Aztec (by Oxford) project. The EDX phase map (EDX_full_phase_map.tif) is provided as a TIFF file, where each colour value represents a phase (see list below). However, please refer to the Jupyter Notebook in EDX-python-preprocessing .7z for more information on how to use the phase map.

    0: "pores",
    1: "AFm/AFt",
    2: "alite/belite",
    3: "matrix",
    4: "CH",
    5: "C-A-S-H",
    6: "alite/belite",
    7: "C3A/C4AF",
    8: "C3A/C4AF",
    9: "Mg-C-A-S-H",
    10: "Slag",
    11: "quartz",
    12: "C-S-H"

There are two NI measurements provided in this dataset, but only position 2 (NI_pos2.csv) was used, since it sufficiently overlapped with the EDX phase map.

The datasets were aligned using QGIS 3.42. Two alignments were performed. One where all datasets were aligned (Full-alginment.7z), and one where only the EDX phase map was combined with the second NI position (NI-EDX-alignment.7z). . The alignments are stored in the included .qgz files.

NI-EDX_phase_evaluation.7z contains a Jupyter Notebook which combines the NI and EDX dataset and generates graphics and data for a not yet published work. The Notebook is, however, not documented in detail.

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