The folders contain data and code source files associated with the article "Three-dimensional nanoimaging of fuel cell catalyst layers" published in Nature Catalysis, 6 (2023) 383-391 Content: - Data.zip: contains raw and processed data (reconstructed, denoised, segmented, thickness distributions) for samples LSC7 and HSC7. Data is organized to enable the reproduction of training models for denoising and segmentation using the notebooks in "Code and Scripts.zip". - Code and Scripts.zip: contains jupyter notebooks for training and application of the segmentation models and for analysis of the segmented reconstructions; FIJI/imageJ script for semi-manual alignment of tilt-serie
We provide a range of supporting data, sorted in three high-level folders. 1. Experimental setup (in...
Zip file containing the dataset and code for the paper 'AI-based Knowledge Extraction from the Biopr...
Figures.zip file contains original SEM images and graphical images included in the main text and the...
The folders contain data and code source files associated with the article "Three-dimensional nanoim...
Dataset to support paper: A universal 3D imaging sensor on a silicon photonics platform, published i...
Raw data files for a manuscript "3D vs. turbostratic: controlling metal-organic framework dimensiona...
When fuel materials for high-temperature gas-cooled nuclear reactors are quantification tested, sign...
This dataset collected here has been used in the paper "Nanoscale Growth Mechanisms of Gypsum: Impli...
This is the research dataset submitted to support the PhD thesis entitled "Developing Advanced Shape...
Zip file containing the dataset for the paper 'A deep learning-based quality control loop of the ext...
Raw data generated for the publication titled "Alloy CsCdxPb1–xBr3 Perovskite Nanocrystals: The Role...
Data and code associated with "Accurate automatic detection of densely distributed cell nuclei in 3D...
Supplementary package (dataset, generated data and code) for the article: "Structure preserving adve...
This dataset comprises of resources required to replicate the results described in "nNPipe: A neural...
<p>The zip file contains all raw data associated with the manuscript 'A universal poroelastic mechan...
We provide a range of supporting data, sorted in three high-level folders. 1. Experimental setup (in...
Zip file containing the dataset and code for the paper 'AI-based Knowledge Extraction from the Biopr...
Figures.zip file contains original SEM images and graphical images included in the main text and the...
The folders contain data and code source files associated with the article "Three-dimensional nanoim...
Dataset to support paper: A universal 3D imaging sensor on a silicon photonics platform, published i...
Raw data files for a manuscript "3D vs. turbostratic: controlling metal-organic framework dimensiona...
When fuel materials for high-temperature gas-cooled nuclear reactors are quantification tested, sign...
This dataset collected here has been used in the paper "Nanoscale Growth Mechanisms of Gypsum: Impli...
This is the research dataset submitted to support the PhD thesis entitled "Developing Advanced Shape...
Zip file containing the dataset for the paper 'A deep learning-based quality control loop of the ext...
Raw data generated for the publication titled "Alloy CsCdxPb1–xBr3 Perovskite Nanocrystals: The Role...
Data and code associated with "Accurate automatic detection of densely distributed cell nuclei in 3D...
Supplementary package (dataset, generated data and code) for the article: "Structure preserving adve...
This dataset comprises of resources required to replicate the results described in "nNPipe: A neural...
<p>The zip file contains all raw data associated with the manuscript 'A universal poroelastic mechan...
We provide a range of supporting data, sorted in three high-level folders. 1. Experimental setup (in...
Zip file containing the dataset and code for the paper 'AI-based Knowledge Extraction from the Biopr...
Figures.zip file contains original SEM images and graphical images included in the main text and the...