Find research datasets worth reusing

opencc-by-4.0Feb 2024View details →

Dataset of "Optical Signatures of Thermal Damage on ex-vivo Brain, Lung and Heart Tissues using Time-Domain Diffuse Optical Spectroscopy"

Dataset for the article entitled "Optical Signatures of Thermal Damage on ex-vivo Brain, Lung and Heart Tissues using Time-Domain Diffuse Optical Spectroscopy"    Abstract:   Thermal Therapies treat tumors by means of heat, greatly reducing pain, post-operation complications, and cost as compared to traditional methods. Yet, effective tools to avoid under- or over-treatment are mostly needed, to guide surgeons in laparoscopic interventions. In this work, we investigated the temperature-dependent optical signatures of ex-vivo calf brain, lung, and heart tissues, based on the reduced scattering and absorption coefficients in the near-infrared spectral range (657 to 1107 nm). These spectra were measured by time domain diffuse optics, applying a step-like spatially homogeneous thermal treatment at 43 °C, 60 °C, and 80 °C. We found three main increases in scattering spectra, possibly due to the denaturation of collagen, myosin, and proteins secondary structure. After 75 °C, we found the rise of two new peaks at 770 and 830 nm in the absorption spectra due to the formation of a new chromophore, possibly related to hemoglobin or myoglobin. This research marks a significant step forward in controlling thermal therapies with diffuse optical techniques by identifying several key markers of thermal damage. This could enhance the ability to monitor and adjust treatment in real-time, promising improved outcomes in tumor therapy.     Authors: ALESSANDRO BOSSI , LEONARDO BIANCHI , PAOLA SACCOMANDI , AND ANTONIO PIFFERI Politecnico di Milano     <a href="https://opg.optica.org/boe/fulltext.cfm?uri=boe-15-4-2481&id=548108" target="_blank" rel="noopener">Link to the article</a>

Thermal diffusivity of isotropic graphite from 23 °C to 3000 °C

This dataset contains thermal diffusivity values determined from 23 °C to 3000 °C by seven laboratories on a batch of specimens machined in the same block of isotropic graphite.

Tutorial "Fundamentals of the laser flash thermal diffusivity measurements"

E-learning module about the fundamentals of the laser flash thermal diffusivity measurements which is part of a tutorial series prepared in the framework of the Hi-TRACE project.

Tutorial "Uncertainty assessment for thermal diffusivity measurement by laser flash method"

E-learning module about the assessment of uncertainty associated with thermal diffusivity measurement performed at high temperature by the laser flash method. Part of a tutorial series prepared in the framework of the Hi-TRACE project.

Tutorial "Thermal diffusivity of solid materials using the flash method"

E-learning module about the thermal diffusivity measurement of different types of solid materials using the flash method. Part of a tutorial series prepared in the framework of the Hi-TRACE project.

opencc-by-nc-4.0Dec 2021View details →

Homogenized anisotropic thermal conductivity on microstructure of binary composite with thermally imperfect diffuse interface

This dataset contains supplementary data and utilities of the publication "A diffuse-interface model of anisotropic interface thermal conductivity and its application in thermal homogenization of composites" (<a href="https://doi.org/10.1016/j.scriptamat.2022.114537">Yang, 2022</a>). We performed thermal homogenization on microstructures with three types of inclusion geometries, in which ones with oval-shaped and fiber-shaped inclusions were read from characterized/generated digital microstructures, and ones with irregular-shaped inclusions were imported from the phase-field additive manufacturing simulations <a href="https://doi.org/10.1002/gamm.202100017">(Zhou, 2021)</a>. Si-Hf-N was chosen as the composite material system with β-Si3N4 as the sole matrix phase and HfN as the sole inclusion phase. Direct homogenization method with the linear temperature BCs (see Supplementary Note 3 of the publication) was adopted. This dataset documents homogenized anisotropic thermal conductivity of corresponding microstructure as a tensor with normalized interface thermal resistance varying from 10-8 to 1012. Voxelized digital microstructures and utilities for visualizing the overall thermal anisotropy are also attached. <table> <tbody> <tr> <td>Properties</td> <td>Value</td> <td>Dimension</td> <td>Description</td> </tr> <tr> <td>\(k_\mathrm{(i)}\)</td> <td>90</td> <td>\(\mathrm{W~m^{-1}~K^{-1}}\)</td> <td>Thermal conductivity of HfN inclusion (<a href="https://10.1016/j.mtphys.2020.100256">Li, 2020</a>)</td> </tr> <tr> <td>\(k_\mathrm{(m)}\)</td> <td>180</td> <td>\(\mathrm{W~m^{-1}~K^{-1}}\)</td> <td>Thermal conductivity of β-Si3N4 matrix (<a href="https://10.1016/s0955-2219(98)00258-1">Li, 1999</a>)</td> </tr> <tr> <td>\(\ell\)</td> <td>5</td> <td>\(\mathrm{nm}\)</td> <td>Diffuse interface width</td> </tr> <tr> <td>\((X,Y,Z)\)</td> <td>(500,500,500)</td> <td>\(\mathrm{nm}\)</td> <td>Simulation domain size</td> </tr> </tbody> </table> Notice: The digital microstructure has been voxelized, which can be loaded by default as a 200x200x200 numpy array (see utilities.ipynb). In order to perform the homogenization, interface smoothening is required, i.e., to generate diffuse interfaces. In this work, we smoothened the interface by operating transient Allen-Cahn calculation with finite timesteps. See Supplementary Note 4 of the publication for more information.

opencc-by-nc-4.0Sep 2022View details →

Thermal and percolative analysis of 3D diffuse-interface composite microstructure

This dataset contains supplementary data and utilities of the publication "Data-driven thermal and percolative analysis of 3D diffuse-interface composite microstructure" (<a href="https://doi.org/10.1016/j.matdes.2023.111746">Fathidoost, 2023</a>). This dataset documents homogenized anisotropic thermal conductivity of the corresponding microstructure (identified by volume fraction (Vf) and aspect ratio (Ar)) as a tensor with normalized interface thermal resistance (see Table 1). Voxelized digital microstructures and utilities are also attached for visualizing the overall thermal anisotropy. Table 1: The geometrical and thermal parameters employed in the generated microstructures. <table> <thead> <tr> <th>Parameters</th> <th>Value (Unit)</th> <th>Type</th> <th>Increment</th> </tr> </thead> <tbody> <tr> <td>Minor principal axes length</td> <td>5 (nm)</td> <td>Constant</td> <td>-</td> </tr> <tr> <td>Aspect ratio, \(A_\mathrm{r}\)</td> <td>[1 ,6]</td> <td>Linear</td> <td>1</td> </tr> <tr> <td>Inclusion volume fraction, \(V_\mathrm{f}\)</td> <td>[5, 60]</td> <td>Linear</td> <td>5</td> </tr> <tr> <td>Thermal conductivity ratio, \(K_\mathrm{r}\)</td> <td>[15, 100]</td> <td>Linear</td> <td>15</td> </tr> <tr> <td>Normalized interface resistance, \(\tilde{R}_\mathrm{s} \)</td> <td>[1e-6, 1e10]</td> <td>Logarithmic</td> <td>1e2</td> </tr> </tbody> </table> Notice: The digital microstructure has been voxelized and stored in the ExodusII format, which can be loaded and visualized by the post-processing software, such as ParaView. In order to perform the homogenization, interface smoothening is required, i.e., to generate diffuse interfaces. In this work, we smoothened the interface by operating transient Allen-Cahn calculation with finite timesteps. Sec. 2.1 of the publication for more information).

zenodo32/100

Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3

Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3.

opencc-by-4.0Apr 2024View details →

Dataset for publication "Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite"

Experimental data presented in the paper: Hay B., Beaumont O., Failleau G., Fleurence N., Grelard M., Razouk R., Davée G., Hameury J., Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite, International Journal of Thermophysics 43:2 (2022). https://doi.org/10.1007/s10765-021-02926-6. Excel file contains the data for Figures 3 to 5.

opencc-by-4.0May 2024View details →

Data for the paper: Deciphering the guanidinium cation: Insights into thermal diffusion

The Excel file contains all data presented in the paper with the doi.org/10.1063/5.0215843

opencc-by-4.0Sep 2016View details →

Models of low-mass helium white dwarfs including gravitational settling, thermal and chemical diffusion, and rotational mixing⋆

MESA inlists, data (from a single run: rotation + diffusion, M1=1.4, M2=1.2, Porb=3.4 days, Z=0.02) and run_star_extras  associated with <a href="http://adsabs.harvard.edu/abs/2016A%26A...595A..35I">Istrate et. al 2016</a>. MESA version 7624.  The grid of models produced in this paper can be found <a href="http://adsabs.harvard.edu/abs/2016yCat..35950035I">here</a>.