cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/4b8d0613-5ee7-4971-b695-835f287336e8.v2
title: Supplementary material for Hydrodynamics in a Randomly Packed Bed with Spherical Particles: A Comparison between PR-CFD Simulations and MRI Experiments

description: The data and scripts used in the experiments and simulations can be found in ‘SupplementaryMaterial.zip’. Inside the folder ‘/Figures’ the data to plot the figures of the article ‘Hydrodynamics in a Randomly Packed Bed with Spherical Particles: A Comparison between PR-CFD Simulations and MRI Experiments’ are provided. <br>Inside the folder ‘/Reconstructed packing’ the positions and radii of the particles are provided, which allows to reconstruct the spherical particle packing used in the flow simulations. The raw image data in DICOM format from which these sphere positions and radii are obtained is provided inside the subfolder ‘/Raw data’. Inside the folder ‘/Matlab script for MRI’ the velocity data obtained from the MRI experiments is provided. The MATLAB scripts to calculate the velocity profiles in the article are provided as well. The raw spectrometer files in MRD format from which the velocity data is obtained are provided inside the subfolder ‘/Raw data’. The data in the error analysis section of the paper can be found in the “Error Analysis” folder.<br>Inside the folder ‘/Matlab script for PR-CFD’ the scripts for calculating the radial velocity and cumulative flow profiles which are reported in the article can be found. Figure 4 and 5 can be generated with the python script inside the folder ‘/Python script for PR-CFD’ from the vtk files which can be provided upon requests.<br>
DOI: 10.5281/zenodo.8193225
title: Thomson problem in the disk: sup- plemental material (numerical data)

description: Supplemental material of the paper "Thomson problem in the disk". It contains the minimum energy configurations for the Thomson problem in the disk" for selected number of charges, the largest one being N=40886
description: improved configurations for N=1000,5000, 40886
DOI: 10.5281/zenodo.8193226
title: Thomson problem in the disk: sup- plemental material (numerical data)

description: Supplemental material of the paper "Thomson problem in the disk". It contains the minimum energy configurations for the Thomson problem in the disk" for selected number of charges, the largest one being N=40886
DOI: 10.5281/zenodo.8300995
title: Thomson problem in the disk: sup- plemental material (numerical data)

description: Supplemental material of the paper "Thomson problem in the disk". It contains the minimum energy configurations for the Thomson problem in the disk" for selected number of charges, the largest one being N=40886
description: improved configurations for N=1000,5000, 40886
DOI: 10.5517/ccdc.csd.cc2flvlh
title: CCDC 2252447: Experimental Crystal Structure Determination

description: Related Article: Qi Hong, Miao-Miao Guo, Jin Yang, Xing Wei, Li Liao, Xiu-Juan Xin, Di Zhang, Fa-Liang An|2023|Phytochemistry|214|113816|doi:10.1016/j.phytochem.2023.113816
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fm2ms
title: CCDC 2252665: Experimental Crystal Structure Determination

description: Related Article: Xu-Jie Xiong, Yang-Lu Zhang, Xing-Cai Huang, Genyan Liu, Dong Shao|2023|Polyhedron|243|116567|doi:10.1016/j.poly.2023.116567
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fm2nt
title: CCDC 2252666: Experimental Crystal Structure Determination

description: Related Article: Xu-Jie Xiong, Yang-Lu Zhang, Xing-Cai Huang, Genyan Liu, Dong Shao|2023|Polyhedron|243|116567|doi:10.1016/j.poly.2023.116567
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fm2pv
title: CCDC 2252667: Experimental Crystal Structure Determination

description: Related Article: Xu-Jie Xiong, Yang-Lu Zhang, Xing-Cai Huang, Genyan Liu, Dong Shao|2023|Polyhedron|243|116567|doi:10.1016/j.poly.2023.116567
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fmcp4
title: CCDC 2252946: Experimental Crystal Structure Determination

description: Related Article: Matteo Savastano, María Dolores López de la Torre, Marco Pagliai, Giovanna Poggi, Francesca Ridi, Carla Bazzicalupi, Manuel Melguizo, Antonio Bianchi|2023|iScience|26|107330|doi:10.1016/j.isci.2023.107330
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fmcq5
title: CCDC 2252947: Experimental Crystal Structure Determination

description: Related Article: Matteo Savastano, María Dolores López de la Torre, Marco Pagliai, Giovanna Poggi, Francesca Ridi, Carla Bazzicalupi, Manuel Melguizo, Antonio Bianchi|2023|iScience|26|107330|doi:10.1016/j.isci.2023.107330
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fmcr6
title: CCDC 2252948: Experimental Crystal Structure Determination

description: Related Article: Matteo Savastano, María Dolores López de la Torre, Marco Pagliai, Giovanna Poggi, Francesca Ridi, Carla Bazzicalupi, Manuel Melguizo, Antonio Bianchi|2023|iScience|26|107330|doi:10.1016/j.isci.2023.107330
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fmcs7
title: CCDC 2252949: Experimental Crystal Structure Determination

description: Related Article: Matteo Savastano, María Dolores López de la Torre, Marco Pagliai, Giovanna Poggi, Francesca Ridi, Carla Bazzicalupi, Manuel Melguizo, Antonio Bianchi|2023|iScience|26|107330|doi:10.1016/j.isci.2023.107330
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fptcb
title: CCDC 2255292: Experimental Crystal Structure Determination

description: Related Article: Tong Zhao, Xia Niu, Wen-Yuan Pei, Jian-Fang Ma|2023|Anal.Chim.Acta|1276|341653|doi:10.1016/j.aca.2023.341653
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fsbdz
title: CCDC 2257711: Experimental Crystal Structure Determination

description: Related Article: Yu Wu, Mithun Kumar Ghosh, Yueping Lv, Xin Hou, Xin Wang, Jun Wang, Tanmay Kumar Ghorai, Mohd. Muddassir, Jian Guo|2023|Polyhedron|243|116575|doi:10.1016/j.poly.2023.116575
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fsbf0
title: CCDC 2257712: Experimental Crystal Structure Determination

description: Related Article: Yu Wu, Mithun Kumar Ghosh, Yueping Lv, Xin Hou, Xin Wang, Jun Wang, Tanmay Kumar Ghorai, Mohd. Muddassir, Jian Guo|2023|Polyhedron|243|116575|doi:10.1016/j.poly.2023.116575
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmqm
title: CCDC 2258961: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmrn
title: CCDC 2258962: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmsp
title: CCDC 2258963: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmtq
title: CCDC 2258964: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmvr
title: CCDC 2258965: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmws
title: CCDC 2258966: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmxt
title: CCDC 2258967: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ftmyv
title: CCDC 2258968: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8301011
title: Nasal nitric oxide is a controversial biomarker for the diagnosis of allergic rhinitis

description: Data set of nNO measurements in subjects reporting rhinitis
DOI: 10.5281/zenodo.8301010
title: Nasal nitric oxide is a controversial biomarker for the diagnosis of allergic rhinitis

description: Data set of nNO measurements in subjects reporting rhinitis
DOI: 10.15124/e632d8dd-3e74-4eaa-801c-43feb59c303e
title: Data to support Enhancing the NMR signals of plant oil components using hyperpolarisation relayed via proton exchange

description: Data to support manuscript
DOI: 10.5255/ukda-sn-856639
title: The Interpersonal Theory of Suicide in Autistic and Non-autistic Adults, 2019

description: This dataset comprises 752 participant records of autistic, possibly autistic and non-autistic people who were invited via online survey to complete measures of thwarted belonging and perceived burdensomeness (the Interpersonal Needs Questionnaire-10), suicidal capability (the Acquired Capability for Suicide Scale-Fearlessness About Death), lifetime trauma (the Vulnerabilities Experience Quotient), anxiety (Generalized Anxiety Disorder-7) and depression (Patient Healthcare Questionnaire-9) with demographic data including age, gender identity, living and employment status, other neurodevelopmental conditions and mental health difficulties.
DOI: 10.5281/zenodo.7706603
title: Selection of conditions for enzymatic hydrolysis of lignocellulosic biomass of various origins after microwave-assisted hydrotropic pretreatment.

description: Results on the efficiency of enzymatic hydrolysis of cellulose. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.7706602
title: Selection of conditions for enzymatic hydrolysis of lignocellulosic biomass of various origins after microwave-assisted hydrotropic pretreatment.

description: Results on the efficiency of enzymatic hydrolysis of cellulose. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.5585904
title: Results of the analysis of the structure of biomass after microwave-assisted hydrotropic pretreatment.

description: Results of analyzes of the structure of lignocellulosic biomass of various origins. The analyzes include the use of FTIR, SEM, XRD and NMR techniques. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.5585903
title: Results of the analysis of the structure of biomass after microwave-assisted hydrotropic pretreatment.

description: Results of analyzes of the structure of lignocellulosic biomass of various origins. The analyzes include the use of FTIR, SEM, XRD and NMR techniques. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.5833772
title: Influence of variable conditions of microwave-assisted hydrotropic pretreatment on the composition of biomass and its susceptibility to enzymatic hydrolysis.

description: The results of the first stage of research concerning the influence of variable process conditions of microwave-assisted hydrotropic pretreatment with the use of NaCS on the composition of biomass of various origins, the level of extractivity and susceptibility to hydrolysis. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.5585954
title: Influence of variable conditions of microwave-assisted hydrotropic pretreatment on the composition of biomass and its susceptibility to enzymatic hydrolysis.

description: The results of the first stage of research concerning the influence of variable process conditions of microwave-assisted hydrotropic pretreatment with the use of NaCS on the composition of biomass of various origins, the level of extractivity and susceptibility to hydrolysis. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.
DOI: 10.5281/zenodo.8301097
title: Search strategies for herpes zoster vaccination for adults: review of economic modelling studies

description: The dataset includes the complete, reproducible search strategies for all literature databases searched during this project. The search strategies address the following research question: What approaches have been used to model the expected costs and benefits of herpes zoster (shingles) immunisation?
DOI: 10.5281/zenodo.8301096
title: Search strategies for herpes zoster vaccination for adults: review of economic modelling studies

description: The dataset includes the complete, reproducible search strategies for all literature databases searched during this project. The search strategies address the following research question: What approaches have been used to model the expected costs and benefits of herpes zoster (shingles) immunisation?
DOI: 10.5281/zenodo.8297255
title: Synthetic Airborne Intruder Dataset: A dataset based on High-Resolution Inpainting for Safety Critical Detect and Avoid

description: Modern machine learning techniques have shown tremendous potential, especially for object detection on camera images. For this reason, they are also used to enable safety-critical automated processes such as autonomous drone flights. We present a study on object detection for Detect and Avoid, a safety critical function for drones that detects air traffic during automated flights for safety reasons. An ill-posed problem is the generation of good and especially large data sets, since detection itself is the corner case. Most models suffer from limited ground truth in raw data, e.g. recorded air traffic or frontal flight with a small aircraft. It often leads to poor and critical detection rates. We overcome this problem by using inpainting methods to bootstrap the dataset such that it explicitly contains the corner cases of the raw data. We provide an overview of inpainting methods and generative models and present an example pipeline given a small annotated dataset. We validate our method by generating a high-resolution dataset and present it to an independent object detector that was fully trained on real data. This dataset is represented in the following repository. The dataset is structured as follows: # Synthetic Airborne Intruder Dataset This dataset was syntheticaly generated using an adapted [Pix2Pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) with different background images and object segementations. Each image contains one object instance. The annotations are in the COCO annotation format. ## Data Structure<br> Synthetic Dataset Root:<br> --train<br> |--images<br> |--instances.json<br> --val<br> |--images<br> |--instances.json<br> --test<br> |--images<br> |--instances.json<br> --Background_Sources<br> |--sources_train.csv<br> |--sources_val.csv<br> |--sources_test.cs<br> --README.md ## Categories | Id | Name | Instances over all splits |<br> | ---| --- | --- |<br> | 0 | large airplane | 1695 | <br> | 1 | small airplane | 1255 | <br> | 2 | very small airplane | 46 | <br> | 3 | helicopter | 2201 | <br> | 4 | drone | 961 |<br> | 5 | hot air balloon | 315 |<br> | 6 | paraglider | 565 |<br> | 7 | airship | 42 |<br> | 8 | UFO | 0 | ### Note:<br> UFO is a placeholder for future expansion of the dataset. ## Splits<br> The dataset consists of 3 splits: train 5900 images, val 590 images, test 590 images.<br> The Number of instances per class and per split can be seen in the table below: Class | train | val | test<br> -------|-------|-----|--------<br> large airplane | 1416 | 142 | 137<br> small airplane | 1046 | 96 | 113<br> very small airplane | 38 | 2 | 6<br> helicopter | 1812 | 206 | 183<br> drone | 800 | 86 | 75<br> hot air balloon | 268 | 21 | 26<br> paragliders | 492 | 32 | 41<br> airship | 28 | 5 | 9<br> UFO | 0 | 0 | 0 ## Sources<br> The sources of the background images can be found in the files [here](./Background_Sources/).