cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f38d7
title: CCDC 2237468: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Bezdomnikov, Vladislav E. Sharov, Liudmila I. Demina, Mark I. Skrebtsov, Andrey B. Ilyukhin, Aslan Yu. Tsivadze|2023|Polyhedron|244|116612|doi:10.1016/j.poly.2023.116612
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.cc2f38f8
title: CCDC 2237469: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Bezdomnikov, Vladislav E. Sharov, Liudmila I. Demina, Mark I. Skrebtsov, Andrey B. Ilyukhin, Aslan Yu. Tsivadze|2023|Polyhedron|244|116612|doi:10.1016/j.poly.2023.116612
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.cc2f38g9
title: CCDC 2237470: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Bezdomnikov, Vladislav E. Sharov, Liudmila I. Demina, Mark I. Skrebtsov, Andrey B. Ilyukhin, Aslan Yu. Tsivadze|2023|Polyhedron|244|116612|doi:10.1016/j.poly.2023.116612
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.cc2fpymq
title: CCDC 2255424: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Zhang, Wenjing Zhang, Ruifang Xiang, Lin Lan, Xiuyan Dong, Hiroshi Sakiyama, Mohd. Muddassir|2023|Polyhedron|244|116625|doi:10.1016/j.poly.2023.116625
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.cc2fpynr
title: CCDC 2255425: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Zhang, Wenjing Zhang, Ruifang Xiang, Lin Lan, Xiuyan Dong, Hiroshi Sakiyama, Mohd. Muddassir|2023|Polyhedron|244|116625|doi:10.1016/j.poly.2023.116625
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.cc2fry49
title: CCDC 2257331: Experimental Crystal Structure Determination

description: Related Article: Da-Shuai Zhang, Wei-Zhen Zhang, Xin-Yu Ding, Jing Xiao, Wei Wang, Yan-Kai Zhang, Ran-Hui Zhang, Hui Hu, Yong-Zheng Zhang, Longlong Geng, Xiuling Zhang|2023|Polyhedron|244|116595|doi:10.1016/j.poly.2023.116595
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.cc2ghr2t
title: CCDC 2279246: Experimental Crystal Structure Determination

description: Related Article: Vladislav E. Sharov, Galina V. Kostikova, Mikhail S. Grigoriev, Alexandr A. Fedoseev|2023|Polyhedron|244|116590|doi:10.1016/j.poly.2023.116590
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.8321775
title: desmognathus_tilleyi_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8321774
title: desmognathus_tilleyi_zanfona_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24088254
title: 补充数据 S1.xlsx

description: 为了探讨原发性痛风患者超声检测肾髓质高回声的原因和临床意义，我们纳入了2016年至2022年到青岛大学附属医院内分泌代谢疾病门诊就诊的原发性痛风患者。在2，107例原发性痛风患者中，共有380例患者在肾脏超声上表现出高回声髓质（HM）。其中，根据高回声分布模式，106例患者属于FUL-HM（F-HM）组，274例患者属于部分HM（P-HM）组。
DOI: 10.15468/8gdw4e
title: Redescription of the Neotropical water scavenger beetle genus Phaenostoma (Coleoptera: Hydrophilidae) with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gustafson, Grey T., Short, Andrew E. Z. (2010): Redescription of the Neotropical water scavenger beetle genus Phaenostoma (Coleoptera: Hydrophilidae) with description of two new species. Acta Entomologica Musei Nationalis Pragae (suppl.) 50 (2): 459-469, DOI: http://doi.org/10.5281/zenodo.4468167
DOI: 10.5281/zenodo.8223141
title: Repackaged Full ITIS Data Set (MS SQL Server)

description: Retrieved 07 August 2023, from the Integrated Taxonomic Information System (ITIS) (http://www.itis.gov). via https://www.itis.gov/downloads/itisMSSql.zip The original zip file is included in this data publication. itisMSSql.zip - file downloaded from https://www.itis.gov/downloads/itisMSSql.zip on 07 August 2023
DOI: 10.5281/zenodo.8223140
title: Repackaged Full ITIS Data Set (MS SQL Server)

description: Retrieved 07 August 2023, from the Integrated Taxonomic Information System (ITIS) (http://www.itis.gov). via https://www.itis.gov/downloads/itisMSSql.zip The original zip file is included in this data publication. itisMSSql.zip - file downloaded from https://www.itis.gov/downloads/itisMSSql.zip on 07 August 2023
DOI: 10.5281/zenodo.8192512
title: Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire

description: Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101028715".
DOI: 10.5281/zenodo.8192511
title: Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire

description: Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101028715".
DOI: 10.5281/zenodo.8171432
title: Supplementary codes and datasets for "Efficient numerical method for reliable upper and lower bounds on homogenized parameters"

description: This repository supports L. Gaynutdinova, M. Ladecký, A. Nekvinda, I. Pultarová, and J. Zeman, <em>Efficient numerical method for reliable upper and lower bounds on homogenized parameters</em> (first announced as the arXiv preprint 2208.09940). In particular, it contains MATLAB source files for reproducing the results presented in Examples 1 and 2 of the manuscript for discretizations with \(N_1 = N_2 = N_3 = 6, 12, 24\). For other parameters, the code needs to be modified manually. The most recent version of the codes is available in the GitLab repository.
DOI: 10.5281/zenodo.8171431
title: Supplementary codes and datasets for "Efficient numerical method for reliable upper and lower bounds on homogenized parameters"

description: This repository supports L. Gaynutdinova, M. Ladecký, A. Nekvinda, I. Pultarová, and J. Zeman, <em>Efficient numerical method for reliable upper and lower bounds on homogenized parameters</em> (first announced as the arXiv preprint 2208.09940). In particular, it contains MATLAB source files for reproducing the results presented in Examples 1 and 2 of the manuscript for discretizations with \(N_1 = N_2 = N_3 = 6, 12, 24\). For other parameters, the code needs to be modified manually. The most recent version of the codes is available in the GitLab repository.
DOI: 10.5281/zenodo.8082068
title: Data repository in support of the article: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e

description: This dataset contains the measurement data, model outputs and Python (v3.10) scripts that are used to produce figures and tables in the paper: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e. The newly created modules providing the interface with Cloud-J in the EMEP MSC-W and BoxChem models are called CloudJ_mod.f90. The measurement data and supporting MATLAB scripts used to create the ATom-1 data files read in by the Python scripts provided here, can be downloaded from https://doi.org/10.3334/ORNLDAAC/1651
DOI: 10.5281/zenodo.8082067
title: Data repository in support of the article: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e

description: This dataset contains the measurement data, model outputs and Python (v3.10) scripts that are used to produce figures and tables in the paper: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e. The newly created modules providing the interface with Cloud-J in the EMEP MSC-W and BoxChem models are called CloudJ_mod.f90. The measurement data and supporting MATLAB scripts used to create the ATom-1 data files read in by the Python scripts provided here, can be downloaded from https://doi.org/10.3334/ORNLDAAC/1651
DOI: 10.5281/zenodo.8096792
title: Edge illumination X-ray phase contrast imaging with alternative gratings: dataset

description: This dataset contains results from Edge illumunation X-ray phase contrast simulations with alternative gratings, as shown in 'Setup.png' The simulations are performed with the monte-carlo software Gate. Postprocessing is done in Matlab. Four different grating geometries were simulated: Conventional, sheared, curved and folded gratings. As phantom, a row of Aluminum cylinders is chosen. The simulation parameters can be found in the excel-file 'Simulation_parameters.xlsx'. The folder 'gate' contains the macros that where used for the monte carlo-simulation. The folder 'matlab' contains the results of post-processing in matlab for each grating geometry. They can be opened with the file 'results_script.m The folder 'results' contains images of the results for each geometry, including, flatfield, projection, threefold contrast and fitting parameters. This research was supported by EU Interreg Flanders - Netherlands Smart*Light (0386), Fonds wetenschappelijk onderzoek (G090020N, G094320N), and Agentschap Innoveren \& Ondernemen (Vlaio) (HBC.2020.2159). Nathanaël Six and Ben Huyge have a PhD fellowship of the FWO (11D8319N, 1S46122N).
DOI: 10.5281/zenodo.8096791
title: Edge illumination X-ray phase contrast imaging with alternative gratings: dataset

description: This dataset contains results from Edge illumunation X-ray phase contrast simulations with alternative gratings, as shown in 'Setup.png' The simulations are performed with the monte-carlo software Gate. Postprocessing is done in Matlab. Four different grating geometries were simulated: Conventional, sheared, curved and folded gratings. As phantom, a row of Aluminum cylinders is chosen. The simulation parameters can be found in the excel-file 'Simulation_parameters.xlsx'. The folder 'gate' contains the macros that where used for the monte carlo-simulation. The folder 'matlab' contains the results of post-processing in matlab for each grating geometry. They can be opened with the file 'results_script.m The folder 'results' contains images of the results for each geometry, including, flatfield, projection, threefold contrast and fitting parameters. This research was supported by EU Interreg Flanders - Netherlands Smart*Light (0386), Fonds wetenschappelijk onderzoek (G090020N, G094320N), and Agentschap Innoveren \& Ondernemen (Vlaio) (HBC.2020.2159). Nathanaël Six and Ben Huyge have a PhD fellowship of the FWO (11D8319N, 1S46122N).
DOI: 10.15468/tm2hvn
title: Review of the genus Psychomasina (Diptera: Psychodidae: Psychodinae), with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kvifte, Gunnar M. (2015): Review of the genus Psychomasina (Diptera: Psychodidae: Psychodinae), with descriptions of two new species. Acta Entomologica Musei Nationalis Pragae (suppl.) 55 (2): 495-503, DOI: http://doi.org/10.5281/zenodo.4468289
DOI: 10.15468/qadu95
title: Chrysobothris bimaculata (Coleoptera: Buprestidae), a new species from Jamaica, with a key to the genus in Jamaica

description: This dataset contains the digitized treatments in Plazi based on the original journal article Macrae, Ted C. (2016): Chrysobothris bimaculata (Coleoptera: Buprestidae), a new species from Jamaica, with a key to the genus in Jamaica. Acta Entomologica Musei Nationalis Pragae (suppl.) 56 (1): 29-33, DOI: http://doi.org/10.5281/zenodo.4468301
DOI: 10.5281/zenodo.8321841
title: desmognathus_anicetus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8321840
title: desmognathus_anicetus_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24088290
title: ADSCs

description: the results of analysis
DOI: 10.6084/m9.figshare.24088290.v1
title: ADSCs

description: the results of analysis
DOI: 10.34740/kaggle/dsv/6425160
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.23898300.v1
title: Supplementary Material for: Validation of administrative health data algorithms for identifying persons with Parkinson’s disease and the ten-year prevalence trend in Bologna, Italy

description: Introduction Health administrative databases are widely used for the estimation of the prevalence of Parkinson’s Disease (PD). Few in general, and none used in Italy, have been validated by testing their diagnostic accuracy. The primary objective was to validate two algorithms for the identification of persons with PD using clinical diagnosis as the reference standard on an Italian sample of people with PD. The second objective was to estimate 10-year trends in PD prevalence in the Bologna Local Health Trust from 2010 to 2019. Methods Two algorithms (index tests) applied to health administrative databases (hospital discharge, drug prescriptions, exemptions for medical costs) were validated against clinical diagnosis of PD by an expert neurologist (reference standard) in a cohort of consecutive outpatients. Sensitivity and specificity with relative 95% confidence intervals (CI) were calculated. The prevalence of PD in a specific year was estimated as the ratio between the number of subjects fulfilling any criteria of the algorithm with better diagnostic accuracy and the total population in the same year (x 1,000), stratified by age, sex and district of residence. Results The two algorithms showed high accuracy for identifying patients with PD: one with greater sensitivity 94.2% (CI 88.4 – 97.6) and the other with greater specificity 98.1% (CI 97.7 – 98.5). For the estimation of prevalence, we chose the most specific algorithm with the fewest total number of misclassified cases. We identified 3,798 people with PD as of December 31, 2019 corresponding to a prevalence of 4.3 per 1,000 inhabitants (CI 4.2 – 4.4). Prevalence was higher in males (4.7, CI 4.5 – 5.0) than females (3.8, CI 3.7 – 4.0) and increased with age. The crude prevalence over time was slightly elevated as it followed a progressive ageing of the population. When stratifying the prevalence for age groups we did not observe a trend except in the 45-64 year category where we observed an increasing trend over time. Conclusion Algorithms based on administrative data are accurate when detecting people with PD in the Italian public health system. In a large northern Italian population, increased prevalence of about 10% was observed in the decade 2010-2019 and is explained by increased life expectancy. These data may be useful in planning the allocation of health care resources for people with PD.
DOI: 10.6084/m9.figshare.24024105
title: Supplementary Material for: Psychological stress and gut microbiota composition: A systematic review of human studies

description: Abstract Objectives: The associations between psychological stress and gut microbiota composition are not fully understood. This study investigated associations between psychological stress and gut microbiota composition and examined the potential modifying effects of age, sex, and ethnicity on such associations. Methods: A systematic literature search was conducted using PubMed, Web of Science, PsycINFO, and Embase databases for studies published until November 2021 which examined associations between psychological stress and gut microbiota composition. Results: During the search process, 10,790 studies were identified and after screening 13 met the eligibility criteria and were included. The median sample size was 70, and the median age of participants was 28.0 years. Most of the included studies did not report associations between measures of alpha- and beta-diversity of the gut microbiota composition and psychological stress. A few studies reported that the Shannon index, Chao 1, Simpson index, and weighted UniFrac were negatively associated with psychological stress. Significant reductions in several taxa at the phyla-, family-, and genus-levels were observed in participants with higher psychological stress. At the phylum level, the abundance of Proteobacteria and Verrucomicrobia were negatively associated with psychological stress. At the family-level, no more than two studies reported associations of the same microbiota with psychological stress. At the genus-level, the following results were found in more than two studies; psychological stress was negatively associated with the abundance of Lachnospira, Lachnospiraceae, Phascolarctobacterium, Sutterella, and Veillonella, and positively associated with the abundance of Methanobrevibacter, Rhodococcus, and Roseburia. However, it was not possible to determine the influence of age, sex, or ethnicity due to the limited studies included. Conclusion: Our findings provide evidence that psychological stress is associated with changes in the abundance of the gut microbiota. More large sample longitudinal studies are needed to determine the causal relationship between psychological stress and the gut microbiota.
DOI: 10.6084/m9.figshare.24024105.v1
title: Supplementary Material for: Psychological stress and gut microbiota composition: A systematic review of human studies

description: Abstract Objectives: The associations between psychological stress and gut microbiota composition are not fully understood. This study investigated associations between psychological stress and gut microbiota composition and examined the potential modifying effects of age, sex, and ethnicity on such associations. Methods: A systematic literature search was conducted using PubMed, Web of Science, PsycINFO, and Embase databases for studies published until November 2021 which examined associations between psychological stress and gut microbiota composition. Results: During the search process, 10,790 studies were identified and after screening 13 met the eligibility criteria and were included. The median sample size was 70, and the median age of participants was 28.0 years. Most of the included studies did not report associations between measures of alpha- and beta-diversity of the gut microbiota composition and psychological stress. A few studies reported that the Shannon index, Chao 1, Simpson index, and weighted UniFrac were negatively associated with psychological stress. Significant reductions in several taxa at the phyla-, family-, and genus-levels were observed in participants with higher psychological stress. At the phylum level, the abundance of Proteobacteria and Verrucomicrobia were negatively associated with psychological stress. At the family-level, no more than two studies reported associations of the same microbiota with psychological stress. At the genus-level, the following results were found in more than two studies; psychological stress was negatively associated with the abundance of Lachnospira, Lachnospiraceae, Phascolarctobacterium, Sutterella, and Veillonella, and positively associated with the abundance of Methanobrevibacter, Rhodococcus, and Roseburia. However, it was not possible to determine the influence of age, sex, or ethnicity due to the limited studies included. Conclusion: Our findings provide evidence that psychological stress is associated with changes in the abundance of the gut microbiota. More large sample longitudinal studies are needed to determine the causal relationship between psychological stress and the gut microbiota.