README file *************************** Dataset Title: Micro-CT Image Dataset of Environmentally-Friendly Materials Collected in the MICROENFRIM Project. *************************** Dataset Authors: Nicolò Lo Presti (Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy), ORCID 0000-0002-3985-7939; Giovanni Castellazzi (Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy), ORCID 0000-0001-5870-5474; Pascale Sénéchal (Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LFCR, Pau, France), ORCID 0000-0002-4398-1254; Hannelore Derluyn (Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LFCR, Pau, France), ORCID 0000-0002-1574-1456; Elisa Stabellini (EDILTECO spa, Via dell'Industria 710, San Felice sul Panaro 41038, Italy); Paolo Stabellini (EDILTECO spa, Via dell'Industria 710, San Felice sul Panaro 41038, Italy) *************************** Dataset Contact Person: Nicolò Lo Presti (University of Bologna), ORCID 0000-0002-3985-7939, e-mail nicolo.lopresti2@unibo.it *************************** Dataset License: This dataset is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/ *************************** Year of creation: 2024 Year of publication: 2025 *************************** Project Info MICROENFRIM (Connecting Micromechanics and Microstructure of Environmentally-Friendly Insulation Materials) This project was supported by the EXCITE Network as Transnational Access (TNA, https://excite-network.eu/access/tna-portal/) to the DMEX laboratory of the Université de Pau et des Pays de l'Adour (UPPA, France). The EXCITE Network is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101005611 (https://doi.org/10.3030/101005611). *************************** Dataset Contents The dataset consists of: _7 compressed .zip archives with tomographic images in .tif format: (01) MICROENFRIM_PART_1_compr_A.zip (02) MICROENFRIM_PART_1_compr_B.zip (03) MICROENFRIM_PART_2.zip (04) MICROENFRIM_PART_3.zip (05) MICROENFRIM_PART_4.zip (06) MICROENFRIM_PART_5.zip (07) MICROENFRIM_PART_6.zip _1 README file in .txt format MICROENFRIM_README.txt *************************** Dataset Documentation *************************** Abstract This dataset contains the data produced within the project “Connecting Micromechanics and Microstructure of Environmentally-Friendly Insulation Materials” (MICROENFRIM), carried out at the DMEX laboratory of the Université de Pau et des Pays de l’Adour (UPPA). The research investigates the microstructure and mechanical response of environmentally friendly insulation materials based on cementitious matrices and bio-derived or recycled aggregates. The dataset comprises micro-CT scans of multiple specimens acquired in both unloaded conditions and during in-situ mechanical loading, as well as after specific aging protocols and across different material formulations. Both high- and low-resolution tomographic images are provided to enable detailed analyses of internal structure and damage phenomena in sustainable building materials. *************************** Content of the files *** (01) The archive MICROENFRIM_PART_1_compr_A.zip includes an info file (MICROENFRIM_INFO.txt), with a subset of the details provided in this README, and a folder named PART_1_compr_A. Inside PART_1_compr_A there are 8 subfolders (e.g., CN5_202kg). In this naming, CN5 is the ID of a 4cm cubic sample tested in situ under compression, and 202kg is the load at which the X-ray scan was acquired. Each subfolder contains grayscale images of vertical slices representing that specific sample at the specified load. (02) The archive MICROENFRIM_PART_1_compr_B.zip includes an info file (MICROENFRIM_INFO.txt), with a subset of the details provided in this README, and a folder named PART_1_compr_B. Inside PART_1_compr_B there are 8 subfolders (e.g., CN7_284kg). In this naming, CN7 is the ID of a 4cm cubic sample tested in situ under compression, and 284kg is the load at which the X-ray scan was acquired. Each subfolder contains grayscale images of vertical slices representing that specific sample at the specified load. (03) The archive MICROENFRIM_PART_2.zip includes an info file (MICROENFRIM_INFO.txt), which contains part of the information reported in this README file, and a folder named PART_2. Inside PART_2 there are 8 subfolders: seven named for example E325_2L, where E325 is the specimen ID and 2L indicates the amount of additive used, and one named Ech1_olive_kernel, which contains the X-ray scan of a single bio-aggregate particle. Each subfolder provides grayscale tomographic slice images representing the corresponding specimen. (04) The archive MICROENFRIM_PART_3.zip includes an info file (MICROENFRIM_INFO.txt), which contains part of the information reported in this README file, and a folder named PART_3. Inside PART_3 there are 8 subfolders named for example N5_t0_HR, where N5 is the specimen ID, t0 or t1 indicates whether the scan was performed before or after an aging protocol on the specimen, and HR or LR denotes a high- or low-resolution acquisition. When both HR and LR are present for the same specimen, they refer to scans acquired on the same sample, and if either t0 or t1 is missing, only the initial state of the sample was acquired. Subfolder N7_t1_HR_water indicates a scan performed after water immersion. Each subfolder provides grayscale tomographic slice images representing the corresponding specimen. (05) The archive MICROENFRIM_PART_4.zip includes an info file (MICROENFRIM_INFO.txt), which contains part of the information reported in this README file, and a folder named PART_4. Inside PART_4 there are 9 subfolders named for example N7T_t0_HR, where N7T is the specimen ID, t0 or t1 indicates whether the scan was performed before or after an aging protocol on the specimen, and HR or LR denotes a high- or low-resolution acquisition. When both HR and LR are present for the same specimen, they refer to scans acquired on the same sample, and if either t0 or t1 is missing, only the initial state of the sample was acquired. Subfolder N7_t1_LR_40kv_water indicates a scan acquired with alternative imaging parameters. Each subfolder provides grayscale tomographic slice images representing the corresponding specimen. (06) The archive MICROENFRIM_PART_5.zip includes an info file (MICROENFRIM_INFO.txt), which contains part of the information reported in this README file, and a folder named PART_5. Inside PART_5 there are 8 subfolders named for example N10T_t1_HR, where N10T is the specimen ID, t0 or t1 indicates whether the scan was performed before or after an aging protocol on the specimen, and HR or LR denotes a high- or low-resolution acquisition. When both HR and LR are present for the same specimen, they refer to scans acquired on the same sample, and if either t0 or t1 is missing, only one time point was acquired. Each subfolder provides grayscale tomographic slice images representing the corresponding specimen. (07) The archive MICROENFRIM_PART_6.zip includes an info file (MICROENFRIM_INFO.txt), which contains part of the information reported in this README file, and a folder named PART_6. Inside PART_6 there are 5 subfolders containing the X-ray scan of cementitious samples produced with a bio-based aggregate (NOCC_21-12_PROVA1), three types of highly insulating aggregates (POL_AERO, SUN_POLV, SUN_SOFT) and recycled EPS aggregates (RIGRAN). Each of these subfolders provides grayscale tomographic slice images representing the corresponding sample. *************************** Additional information for subfolders in archives (01) -> (07) *** Each of the subfolders mentioned in the "Content of the files" section contains several grayscale images in .tif format, representing vertical slices of the scanned samples. Each .tif image possesses the same name of the parent folder, followed by sequential numbers corresponding to their position in space in the tomographic reconstruction. In addition, each of these subfolders contains two .xml, a .pexport and a .jpg file, named e.g. "c0b386b6-9543-40cf-8bf6-43920d9fcccd.rec.1.xml", which are generated during the reconstruction of the dataset and contain the parameters adopted for this task. *************************** Naming rules and sample characteristics *** IDs such as <10> (CN10T) refer to cement-based samples produced with a natural olive kernel aggregate. indicates an acquisition performed during a compression test is a common identifier for all olive kernel-based samples Numbers from 5 to 8 indicate samples produced with a mixture of cement and filler and water/cement ratios from 0.4 to 0.7, respectively Numbers from 9 to 11 indicate samples produced with pure cement and water/cement ratios from 0.4 to 0.6, respectively. refers to samples produced with treated olive kernels IDs such as <325><41L> (E32541L) refer to cement-based samples produced with sustainable EPS beads. is a common identifier for all EPS-based samples <325> or <525> indicate the normalized compressive strength of the two types of cement utilized Numbers such as <41L> or <2L> indicate the amount of additive utilizzed *************************** Methodologies *** Tomographic acquisitions were carried out on 4cm cubic samples of hardened mortars by means of the Tescan UniTOM XL, wich features a 300W X-ray source with a tunable energy level between 30kVp and 180kVp. *************************** File specifics *** Each tomographic acquisition can be visualized in 3D by means of a software for visualization and manipulation of this kind of datasets. For instance, the Dragonfly software (https://dragonfly.comet.tech/), freely available for academic use, can be employed for this purpose. .xml and .pexport files can be opened with a text reader such as Notepad++ (https://notepad-plus-plus.org/downloads/). *************************** How to cite this dataset: *** Lo Presti, Nicolò ; Castellazzi, Giovanni ; Sénéchal, Pascale ; Derluyn, Hannelore ; Stabellini, Elisa ; Stabellini, Paolo (2025) Micro-CT Image Dataset of Environmentally-Friendly Materials Collected in the MICROENFRIM Project. University of Bologna. DOI https://doi.org/10.6092/unibo/amsacta/8517 [Dataset]