cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-dc-772678050
title: The effect of mixing donor and acceptor molecules on the growth modes in thin organic films for solar cells

description: Organic photovoltaics (OPVs) are based on organic constituents, such as polymers or small organic molecules, and offer the possibility of low-cost and environmentally friendly electronics on thin and flexible substrates. However, commonly applied organic thin films grow in a highly complex fashion across several length scales, where the interaction with the templating layer can greatly alter the molecular organisation of the subsequently deposited thin films, and thus device performance. In order to progress the field of OPVs to widespread commercial relevance, an understanding of the key structure-property relationships must be developed. For this reason, we propose to undertake a comprehensive microstructural study of thin film blends on several device relevant templating layers, linking these to device measurements to elucidate performance limiting parameters, and thus advance the OPV field towards commercialisation.
DOI: 10.5281/zenodo.6010914
title: Simulated X-ray micro-computed tomography based particle tracking velocimetry dataset for validation purposes

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Validation dataset for micro-computed tomography based particle tracking velocimetry: a simulated micro-CT based velocimetry experiment with associated ground-truth particle trajectories - The ground truth trajectories were based on randomly dropping virtual particles in the pore space, and tracking their movement through a CFD-based velocity field (see below). The positions were calculated for the time corresponding to each radiograph of a micro-CT experiment. The folder "GroundTruthData" contains the locations of all particles at the central time of each micro-CT scan, as well as their radii. Check the associated readme file to read the data file. - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 7 time steps (70 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains an image of the pore space without particles, matching with the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 6 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.5281/zenodo.6010913
title: Simulated X-ray micro-computed tomography based particle tracking velocimetry dataset for validation purposes

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Validation dataset for micro-computed tomography based particle tracking velocimetry: a simulated micro-CT based velocimetry experiment with associated ground-truth particle trajectories - The ground truth trajectories were based on randomly dropping virtual particles in the pore space, and tracking their movement through a CFD-based velocity field (see below). The positions were calculated for the time corresponding to each radiograph of a micro-CT experiment. The folder "GroundTruthData" contains the locations of all particles at the central time of each micro-CT scan, as well as their radii. Check the associated readme file to read the data file. - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 7 time steps (70 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains an image of the pore space without particles, matching with the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 6 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.5255/ukda-sn-855622
title: In the Absence of an Effective Corporate Bankruptcy System in China, How Does the Chinese Court Use Equal Distribution in Judgement Executions to Deliver Fairness Between Competing Creditors, 2017

description: The interview data were collected by Dr Zinian Zhang from his fieldwork conducted in Hangzhou, the capital city of the Zhejiang Province, the People's Republic of China in May 2017. The interviews focused on the question of how the Chinese court conducts equal distribution in commercial judgment enforcements to deliver fairness between competing creditors. In total, there were sixteen law practitioners, including four judges and twelve lawyers, interviewed. Among twelve lawyers, nine once represented judgment creditors seeking equal distribution, and three represented clients who have to share. The data reveal that fair distribution is not as often used as thought, and that fair distribution is unable to fill the gap left by a corporate bankruptcy system.
DOI: 10.5281/zenodo.6010490
title: X-ray micro-computed tomography based X-ray particle tracking velocimetry dataset in a porous glass filter

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Dataset of a micro-computed tomography based particle tracking velocimetry experiment performed on a glass filter (ROBU P0; sample size 4 mm diameter by 1 cm). - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 59 time steps (35 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains a high-quality pre-scan taken before the main experiment, which was registered and resampled to the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 20 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.5281/zenodo.6010489
title: X-ray micro-computed tomography based X-ray particle tracking velocimetry dataset in a porous glass filter

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Dataset of a micro-computed tomography based particle tracking velocimetry experiment performed on a glass filter (ROBU P0; sample size 4 mm diameter by 1 cm). - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 59 time steps (35 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains a high-quality pre-scan taken before the main experiment, which was registered and resampled to the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 20 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.5281/zenodo.6414265
title: Data set for the replication package of the paper "Simulations of DNA-origami self-assembly reveal design-dependent nucleation barriers"

description: Data set for the replication package of the paper "Simulations of DNA-origami self-assembly reveal design-dependent nucleation barriers".
DOI: 10.5281/zenodo.6010425
title: X-ray micro-computed tomography based particle tracking velocimetry dataset in a sandpack

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Dataset of a micro-computed tomography based particle tracking velocimetry experiment performed on a sand pack (grainsize 500-710 µm; sample size 4 mm diameter by 2 cm). - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 79 time steps (35 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains a high-quality pre-scan taken before the main experiment, which was registered and resampled to the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 20 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.5281/zenodo.6010424
title: X-ray micro-computed tomography based particle tracking velocimetry dataset in a sandpack

description: Authors: Tom Bultreys, Stefanie Van Offenwert, Wannes Goethals, Matthieu N. Boone, Jan Aelterman and Veerle Cnudde; Ghent University (Belgium)<br> Date: 8th February 2022<br> For any usage, please cite the accompanying publication: T. Bultreys, S. Van Offenwert, W. Goethals, M. N. Boone, J. Aelterman and V. Cnudde, "X-ray Tomographic Micro-Particle Velocimetry in Porous Media", Physics of Fluids, 34, 042008 (2022).<br> https://doi.org/10.1063/5.0088000<br> ----------------------------- Dataset of a micro-computed tomography based particle tracking velocimetry experiment performed on a sand pack (grainsize 500-710 µm; sample size 4 mm diameter by 2 cm). - The main data is contained in the directory "TimeFrames", containing the reconstructed 3D images at 79 time steps (35 seconds interval), with a voxel size of 11.8 µm, in 3D .tif format. This can be opened in for example Fiji/ImageJ. - The directory "clearFrame" contains a high-quality pre-scan taken before the main experiment, which was registered and resampled to the time frame images, in the same format and with the same voxel size as the time frame images. - The directory "SegmentedImage" contains two binary 3D images (same format as images before) which was created by segmenting the clearFrame image. There are two versions: the original segmentation, and a version where pores were eroded. The eroded segmentation was used to mask the pore space during particle detection (this avoids spurious detections near pore walls, caused by minor mis-alignments of the clearImage). - The original segmentation was used as input to simulate the velocity fields in the directory "simulatedVelocityFields", which contains 3D .tif images that represent the three components of the velocity vector field (the X-direction was the axis of the sample, equaling the flow direction). There is also an input text file and an output text file. The simulation was performed with the code from single-phase OpenFOAM implementation from Ali Raeini and others at Imperial College London: http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/ - The trackingOutput folder contains the experimentally determined velocity points (.csv, only particles that could be tracked at least 20 time frames) and the experimentally determined velocity magnitude field (.tif, voxel size 23.6 µm)
description: {"references": ["Bultreys et al. 2022, \"X-ray Tomographic Micro-Particle Velocimetry in Porous Media\", Physics of Fluids, 34, 042008 (2022). https://doi.org/10.1063/5.0088000"]}
DOI: 10.48370/ofd/ohfadm/iblkxr
title: Abies alba_nasiona_próbka badawcza 1 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/ohfadm
title: Abies alba_nasiona_próbka badawcza 1 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.6084/m9.figshare.17134478
title: Data associated with the endonuclease analysis

description: Alignment, newick and distance matrix files for phylogenetic analysis of endonucleases encoded in phage genomes described in Smith-Zaitlik et al. Extended genomic analyses of the broad-host-range phages vB_KmiM-2Di and vB_KmiM-4Dii reveal slopekviruses have highly conserved genomes.
DOI: 10.6084/m9.figshare.17134478.v1
title: Data associated with the endonuclease analysis

description: Alignment, newick and distance matrix files for phylogenetic analysis of endonucleases encoded in phage genomes described in Smith-Zaitlik et al. Extended genomic analyses of the broad-host-range phages vB_KmiM-2Di and vB_KmiM-4Dii reveal slopekviruses have highly conserved genomes.
DOI: 10.5281/zenodo.6417541
title: Gyps rueppelli decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6417540
title: Gyps rueppelli decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6417555
title: Parabuteo unicinctus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6417554
title: Parabuteo unicinctus decontaminated FSCR

description: .
DOI: 10.48370/ofd/hpc95y/xb6p9s
title: Abies alba_nasiona_próbka badawcza 2 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/hpc95y
title: Abies alba_nasiona_próbka badawcza 2 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.48370/ofd/vdtvf2/scmfmx
title: Abies alba_nasiona_próbka badawcza 3 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/vdtvf2
title: Abies alba_nasiona_próbka badawcza 3 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.48370/ofd/htlyso/imudrl
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 1 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/htlyso
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 1 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.48370/ofd/5ea1fk/qd8yyv
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 2 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/5ea1fk
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 2 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.48370/ofd/k3slid/xdfg7x
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 3 - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/k3slid
title: Abies alba_nasiona zainfekowane grzybami_próbka badawcza 3 - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.34820/fk2/fd7raj/sxbz7u
title: test.tab

description: dataset can be used for analyzing the quality of machine learning model of 2d perovskite oxide magnet
DOI: 10.34820/fk2/fd7raj/d5ix7e
title: train.tab

description: dataset can be used for training machine learning model of 2d perovskite oxide magnet
DOI: 10.34820/fk2/fd7raj
title: 2D perovskite magnetic material dataset

description: the collection of 2-dimensional perovskite material (A_2 B_2 X_6) dataset. this data are collected from first principles calculation by employing DFT with GGA exchange correlation.
DOI: 10.23708/kisgjy
title: Projet STABILITY : interrogation de la base de données d'observations sur l’utilisation de la végétation pour prévenir et lutter contre les glissements de terrain et l’érosion

description: Requêtes PostgreSQL développées dans le cadre du projet STABILITY pour créer la base de données , extraire les types d'habitat, l'ensemble des localisations, aires, villes, continents, pays, districts, risques, sols, typologies racinaires, bibliographies, éco-ingéniérie, écologies, types d'habitat, morphologies, modes de reproduction, systèmes racinaires, familles, genres, espèces, espèces infra-spécifiques des végétaux, types biologiques, climats, contraintes, observations et les fichiers textes tabulaires contenant les données associées. PostgreSQL queries developed as part of the STABILITY project to create the database, extract habitat types, all locations, areas, cities, continents, countries, districts, risks, soils, root typologies, bibliographies , eco-engineering, ecologies, habitat types, morphologies, modes of reproduction, root systems, families, genera, species, infra-specific plant species, biological types, climates, constraints, observations and the tabular text files containing the data associated.