cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rmk89k4rhb.3
title: Appointment Wait Times for Primary and Specialty Care in Veterans Health Administration Facilities vs. Community Medical Centers

description: These data have been certified for public release by the VA Boston Healthcare System's Privacy Officer. Please cite the following publication when using this dataset: Y. Feyman, K.N. Griffith. (under review). Appointment wait times for primary and specialty care in Veterans Health Administration facilities vs. community medical centers. Data in Brief. These data were originally collected for the following research article: K.N. Griffith, N.J. Ndugga, S.D. Pizer. (2020). Appointment Wait Times for Specialty Care in Veterans Health Administration Facilities vs Community Medical Centers. JAMA Network Open 3(8): e2014313.
DOI: 10.17632/rmk89k4rhb.4
title: Appointment Wait Times for Primary and Specialty Care in Veterans Health Administration Facilities vs. Community Medical Centers

description: These data have been certified for public release by the VA Boston Healthcare System's Privacy Officer. Please cite the following publication when using this dataset: Y. Feyman, K.N. Griffith. (under review). Appointment wait times for primary and specialty care in Veterans Health Administration facilities vs. community medical centers. Data in Brief. These data were originally collected for the following research article: K.N. Griffith, N.J. Ndugga, S.D. Pizer. (2020). Appointment Wait Times for Specialty Care in Veterans Health Administration Facilities vs Community Medical Centers. JAMA Network Open 3(8): e2014313.
DOI: 10.17632/rmk89k4rhb.5
title: Appointment Wait Times for Primary and Specialty Care in Veterans Health Administration Facilities vs. Community Medical Centers

description: These data have been certified for public release by the VA Boston Healthcare System's Privacy Officer. Please cite the following publication when using this dataset: Y. Feyman, K.N. Griffith. (under review). Appointment wait times for primary and specialty care in Veterans Health Administration facilities vs. community medical centers. Data in Brief. These data were originally collected for the following research article: K.N. Griffith, N.J. Ndugga, S.D. Pizer. (2020). Appointment Wait Times for Specialty Care in Veterans Health Administration Facilities vs Community Medical Centers. JAMA Network Open 3(8): e2014313.
DOI: 10.5519/qd.fb77ba78
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12 records)
DOI: 10.5281/zenodo.10473569
title: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations, Molecular dynamics trajectory file

description: Dataset for molecular dynamics simulations of the article: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations.

First_600ns_MD.rar contains the 600ns molecular dynamics simulation trajectory file of IL4I1-FAD-CIT complex using desmond.

Second_500ns_MD_ZL35_F963.rar contains the 500ns molecular dynamics simulation trajectory file of IL4I1-FAD-ZL35 complex, which initial conformation of this part of dynamics simulation was obtained by docking the conformation of the 963rd frame from the first dynamics simulation with ZL35 through induced fit.

script.rar include scripts and calculation methods for free energy landscape, RMSD matrix, and thermol MM/GBSA.
DOI: 10.5281/zenodo.10473570
title: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations, Molecular dynamics trajectory file

description: Dataset for molecular dynamics simulations of the article: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations.

First_600ns_MD.rar contains the 600ns molecular dynamics simulation trajectory file of IL4I1-FAD-CIT complex using desmond.

Second_500ns_MD_ZL35_F963.rar contains the 500ns molecular dynamics simulation trajectory file of IL4I1-FAD-ZL35 complex, which initial conformation of this part of dynamics simulation was obtained by docking the conformation of the 963rd frame from the first dynamics simulation with ZL35 through induced fit.
DOI: 10.5281/zenodo.10878913
title: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations, Molecular dynamics trajectory file

description: Dataset for molecular dynamics simulations of the article: Identification of Potential IL4I1 Inhibitors through Structure-Based Virtual Screening and Molecular Dynamics Simulations.

First_600ns_MD.rar contains the 600ns molecular dynamics simulation trajectory file of IL4I1-FAD-CIT complex using desmond.

Second_500ns_MD_ZL35_F963.rar contains the 500ns molecular dynamics simulation trajectory file of IL4I1-FAD-ZL35 complex, which initial conformation of this part of dynamics simulation was obtained by docking the conformation of the 963rd frame from the first dynamics simulation with ZL35 through induced fit.

script.rar include scripts and calculation methods for free energy landscape, RMSD matrix, and thermol MM/GBSA.
DOI: 10.5281/zenodo.10600166
title: GWAS Summary Statistics from "Sex and statin-related genetic associations at the PCSK9 gene locus – results of genome-wide association meta-analysis"

description: GWAMA summary statistics of PCSK9 levels stratified by sex and statin useage in Europeans.

When using this data, please cite:

Pott, J., Kheirkhah, A., Gadin, J.R. et al. Sex and statin-related genetic associations at the PCSK9 gene locus: results of genome-wide association meta-analysis. Biol Sex Differ 15, 26 (2024). https://doi.org/10.1186/s13293-024-00602-6

All txt files contain the following columns:



markername (unique SNP ID)

chr

bp_hg19 (base position according to hg19)

EA (effect allele)

OA (other allele)

EAF (effect allele frequency)

info (minimal info score across all used studies)

nSamples (sample size per SNP)

nStudies (in case of double-stratified data: number of studies; in case of single-stratified data: 2, as it is a meta-analysis of the two double-stratified data sets)

beta (effect estimate)

SE (standard error)

pval (p-value)

I2 (SNP heterogeneity across studies)

invalidAssoc (TRUE/FALSE flag if this variant was excluded in our analysis)

reason4exclusion (reason why this SNP was excluded)

phenotype (phenotyp setting)
DOI: 10.17632/myphccjg6y.1
title: First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene

description: This repository hosts data supporting the findings in the open-access paper:
"First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene"
Authors: N. D. Wood, J. S. Tse, J. M. Skelton, D. J. Cooke, L. J. Gillie, S. C. Parker and M. Molinari
Accepted in the Journal of Materials Science & Technology
This repository contains supplementary data to accompany the aforementioned open-access paper.
DOI: 10.17632/myphccjg6y.2
title: First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene

description: This repository hosts data supporting the findings in the open-access paper:
"First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene"
Authors: N. D. Wood, J. S. Tse, J. M. Skelton, D. J. Cooke, L. J. Gillie, S. C. Parker and M. Molinari
Published in the Journal of Materials Science & Technology 2023, 166, 250-260, https://doi.org/10.1016/j.jmst.2023.05.019
DOI: 10.17632/myphccjg6y.3
title: Data for: First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene

description: This repository hosts data supporting the findings in the open-access paper:
"First Principles Insights into Oxide/Polymer Composites: SrTiO3/Polyaniline/Graphene"
Authors: N. D. Wood, J. S. Tse, J. M. Skelton, D. J. Cooke, L. J. Gillie, S. C. Parker and M. Molinari
Published in the Journal of Materials Science & Technology 2023, 166, 250-260, https://doi.org/10.1016/j.jmst.2023.05.019
DOI: 10.17632/rg843pggxp.1
title: A novel approach for the prevention of ionizing radiation-induced bone loss using a designer multifunctional cerium oxide nanozyme

description: This repository provides additional computational data to accompany the paper: A Novel approach for the prevention of ionizing radiation-induced bone loss using a designer multifunctional cerium oxide nanozyme, Fei Wei, Craig J. Neal, Tamil Selvan Sakthivel, Yifei Fu, Mahmoud Omer, Amitava Adhikary, Samuel Ward, Khoa Minh Ta, Samuel Moxon, Marco Molinari, Jackson Asiatico, Michael Kinzel, Sergey N. Yarmolenko, Vee San Cheong, Nina Orlovskaya, Ranajay Ghosh, Sudipta Seal, Melanie Coathup, Bioactive Materials, 2023, 21, 547-565, https://doi.org/10.1016/j.bioactmat.2022.09.011
DOI: 10.17632/rg843pggxp.2
title: Data for: A novel approach for the prevention of ionizing radiation-induced bone loss using a designer multifunctional cerium oxide nanozyme

description: This repository provides additional computational data to accompany the paper: A Novel approach for the prevention of ionizing radiation-induced bone loss using a designer multifunctional cerium oxide nanozyme, Fei Wei, Craig J. Neal, Tamil Selvan Sakthivel, Yifei Fu, Mahmoud Omer, Amitava Adhikary, Samuel Ward, Khoa Minh Ta, Samuel Moxon, Marco Molinari, Jackson Asiatico, Michael Kinzel, Sergey N. Yarmolenko, Vee San Cheong, Nina Orlovskaya, Ranajay Ghosh, Sudipta Seal, Melanie Coathup, Bioactive Materials, 2023, 21, 547-565, https://doi.org/10.1016/j.bioactmat.2022.09.011
DOI: 10.5517/ccdc.csd.cc28wfm7
title: CCDC 2111739: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.cc2h7ckp
title: CCDC 2300992: Experimental Crystal Structure Determination

description: Related Article: Michael L. Barsoum, Jan Hofmann, Haomiao Xie, Zhihengyu Chen, Simon M. Vornholt, Roberto dos Reis, Nicholas Burns, Stefan Kycia, Karena W. Chapman, Vinayak P. Dravid, Omar K. Farha|2024|J.Am.Chem.Soc.|146|6557|doi:10.1021/jacs.3c11503
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.cc2h7clq
title: CCDC 2300993: Experimental Crystal Structure Determination

description: Related Article: Michael L. Barsoum, Jan Hofmann, Haomiao Xie, Zhihengyu Chen, Simon M. Vornholt, Roberto dos Reis, Nicholas Burns, Stefan Kycia, Karena W. Chapman, Vinayak P. Dravid, Omar K. Farha|2024|J.Am.Chem.Soc.|146|6557|doi:10.1021/jacs.3c11503
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.cc2h7cmr
title: CCDC 2300994: Experimental Crystal Structure Determination

description: Related Article: Michael L. Barsoum, Jan Hofmann, Haomiao Xie, Zhihengyu Chen, Simon M. Vornholt, Roberto dos Reis, Nicholas Burns, Stefan Kycia, Karena W. Chapman, Vinayak P. Dravid, Omar K. Farha|2024|J.Am.Chem.Soc.|146|6557|doi:10.1021/jacs.3c11503
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.cc2h7cns
title: CCDC 2300995: Experimental Crystal Structure Determination

description: Related Article: Michael L. Barsoum, Jan Hofmann, Haomiao Xie, Zhihengyu Chen, Simon M. Vornholt, Roberto dos Reis, Nicholas Burns, Stefan Kycia, Karena W. Chapman, Vinayak P. Dravid, Omar K. Farha|2024|J.Am.Chem.Soc.|146|6557|doi:10.1021/jacs.3c11503
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.cc2h7cpt
title: CCDC 2300996: Experimental Crystal Structure Determination

description: Related Article: Michael L. Barsoum, Jan Hofmann, Haomiao Xie, Zhihengyu Chen, Simon M. Vornholt, Roberto dos Reis, Nicholas Burns, Stefan Kycia, Karena W. Chapman, Vinayak P. Dravid, Omar K. Farha|2024|J.Am.Chem.Soc.|146|6557|doi:10.1021/jacs.3c11503
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: 10.6084/m9.figshare.25215236
title: Valp1: a newly identified temperate phage facilitating coexistence of lysogenic and non-lysogenic populations of Vibrio anguillarum

description: Isolation and characterization of the Valp1 phage, a new temperate phage of V. anguillarum.
DOI: 10.5281/zenodo.7212263
title: Mapas de sombras de la ciudad de Sevilla (España)

description: Mapas de sombras de la ciudad de Sevilla, generados con CityShadeMapper.
DOI: 10.5281/zenodo.7212238
title: Mapas de sombras de la ciudad de Sevilla (España)

description: Mapas de sombras de la ciudad de Sevilla, generados con CityShadeMapper. Estos mapas pueden visualizarse directamente en https://www.mapasdesombra.org.

Cloud-Optimised Geotiff con múltiples capas, una por cada hora

Proyección UTM huso 30 N datum ETRS89 (EPSG:3042). Mapas también disponibles en coordenadas geográficas (EPSG:4326): https://zenodo.org/doi/10.5281/zenodo.7213636

Funding: Fondo Europeo de Desarrollo Regional (FEDER) and Consejería de Transformación Económica, Industria, Conocimiento y Universidades of Junta de Andalucía (proyecto US-1381388, Universidad de Sevilla).
DOI: 10.5281/zenodo.7212239
title: Mapas de sombras de la ciudad de Sevilla (España)

description: Mapas de sombras de la ciudad de Sevilla, generados con CityShadeMapper.
DOI: 10.5281/zenodo.7212277
title: Mapas de sombras de la ciudad de Sevilla (España)

description: Mapas de sombras de la ciudad de Sevilla, generados con CityShadeMapper. Estos mapas pueden visualizarse directamente en https://www.mapasdesombra.org.

Cloud-Optimised Geotiff con múltiples capas, una por cada hora

Proyección UTM huso 30 N datum ETRS89 (EPSG:3042). Mapas también disponibles en coordenadas geográficas (EPSG:4326): https://zenodo.org/doi/10.5281/zenodo.7213636

Funding: Fondo Europeo de Desarrollo Regional (FEDER) and Consejería de Transformación Económica, Industria, Conocimiento y Universidades of Junta de Andalucía (proyecto US-1381388, Universidad de Sevilla).
DOI: 10.5281/zenodo.7213636
title: Mapas de sombras de la ciudad de Sevilla, España

description: Mapas de sombras de la ciudad de Sevilla, España, generados con CityShadeMapper. Estas capas pueden visualizarse directamente en https://www.mapasdesombra.org

Capas raster horarias en formato Cloud-Optimised Geotiff (COG), coordenadas geográficas (EPSG:4326)

m = mes del año (1 = Enero, 2 = Febrero, etc)

h = hora local

canopy/ground = nivel de sombras a nivel del suelo o tejados

Mapas también disponibles en proyección UTM huso 30 N datum ETRS89 (EPSG:3042) en https://zenodo.org/doi/10.5281/zenodo.7212238

Funding: Fondo Europeo de Desarrollo Regional (FEDER) and Consejería de Transformación Económica, Industria, Conocimiento y Universidades of Junta de Andalucía (proyecto US-1381388, Universidad de Sevilla).
DOI: 10.5281/zenodo.7213637
title: Mapas de sombras de la ciudad de Sevilla, España

description: Mapas de sombras de la ciudad de Sevilla, España, generados con CityShadeMapper. Estas capas pueden visualizarse directamente en https://www.mapasdesombra.org

Capas raster horarias en formato Cloud-Optimised Geotiff (COG), coordenadas geográficas (EPSG:4326)

m = mes del año (1 = Enero, 2 = Febrero, etc)

h = hora local

canopy/ground = nivel de sombras a nivel del suelo o tejados

Mapas también disponibles en proyección UTM huso 30 N datum ETRS89 (EPSG:3042) en https://zenodo.org/doi/10.5281/zenodo.7212238

Funding: Fondo Europeo de Desarrollo Regional (FEDER) and Consejería de Transformación Económica, Industria, Conocimiento y Universidades of Junta de Andalucía (proyecto US-1381388, Universidad de Sevilla).
DOI: 10.5281/zenodo.10879240
title: Base de Dados 1 - Crianças de 0 a 3 anos

description: Base de dados com dados de crianças de 0 a 3 anos da região Norte do Brasil com SRAG de acordo com o openDataSUS.
DOI: 10.5281/zenodo.10879241
title: Base de Dados 1 - Crianças de 0 a 3 anos

description: Base de dados com dados de crianças de 0 a 3 anos da região Norte do Brasil com SRAG de acordo com o openDataSUS.
DOI: 10.26071/ogsl-8d95a209-aa2d
title: RQM - Données CTD de la mission concertée sur le Coriolis (MIC2022) : Inclusion 2022
title: RQM - CTD Data From the Coriolis Concerted Mission (MIC2022): Inclusion 2022

description: La mission concertée Inclusion de juillet 2022, financée par le programme Odyssée Saint Laurent du Réseau Québec maritime (RQM), avait pour but d’acquérir de nouvelles connaissances sur les écosystèmes du Saint-Laurent et d’aller à la rencontre des communautés de la Côte-Nord. Cette mission a permis de réunir, autour de 8 projets de recherche, une équipe multidisciplinaire de 13 chercheur·es provenant de secteurs et de groupes sous-représentés en recherche. 
Des profils verticaux de données CTD (conductivité, température, profondeur) ont été réalisés dans la colonne d’eau au niveau de 29 stations à la hauteur de Pointe-au-Père dans l’estuaire du Saint Laurent, au sud-ouest de l’île d’Anticosti ainsi que sur la côte nord du golfe du Saint-Laurent entre Longue-Pointe-de-Mingan (Qc, Canada) et Pakuashipi (Qc, Canada). Ces profils ont été réalisés depuis la surface jusqu’à une distance maximale de 2 m du fond marin. Ils intègrent des mesures de température, de salinité, de densité, d’oxygène dissous, de pH, de fluorescence, de transmission de la lumière, de stratification verticale du milieu et de vitesse du son dans l’eau de mer. Des échantillons discrets d’eau ont été collectés à différentes stations et profondeurs dans le but de comparer les mesures réalisées directement par la CTD à des analyses en laboratoire de salinité (21 échantillons, Portasal 8410A). Ces comparaisons ont permis d’affiner les calibrations des données de salinité issues de la CTD.
description: The Inclusion concerted mission in July 2022, funded by the Réseau Québec maritime (RQM) Odyssée Saint Laurent program, was aimed at acquiring new knowledge about the ecosystems of the St. Lawrence and reaching out to North Coast communities. The mission brought together a multidisciplinary team of 13 researchers from sectors and groups underrepresented in research, to work on 8 research projects.
Vertical profiles of CTD data (conductivity, temperature, depth) were made in the water column at 29 stations off Pointe-au-Père in the St. Lawrence Estuary, southwest of Anticosti Island and on the north coast of the Gulf of St. Lawrence between Longue-Pointe-de-Mingan (Qc, Canada) and Pakuashipi (Qc, Canada). These profiles were taken from the surface to a maximum distance of 2 m from the seabed. They include measurements of temperature, salinity, density, dissolved oxygen, pH, fluorescence, light transmission, vertical stratification and sound velocity in seawater. Discrete water samples were collected at different stations and depths to compare CTD's direct measurements with laboratory salinity analyses (21 samples, Portasal 8410A). These comparisons were used to adjust the calibration of CTD salinity data.
DOI: 10.26071/ogsl-8df72f89-35cb-4880
title: RQM - Données CTD de la mission concertée sur le Lampsilis (MAL2019) : Odyssée Saint-Laurent 2019
title: RQM - CTD Data From the Lampsilis Concerted Mission (MAL2019): Odyssée Saint-Laurent 2019

description: La mission concertée sur le Lampsilis d’aout et septembre 2019, financée par le programme Odyssée Saint-Laurent du Réseau Québec maritime (RQM), avait pour but de collecter des connaissances scientifiques stratégiques destinées à la compréhension et à la gestion du fleuve et du golfe du Saint-Laurent. Cette mission a permis une large acquisition de données multidisciplinaires pour 7 projets centrés autour de deux grands axes de recherches : la qualité de l’eau, et le suivi des communautés biologiques du Saint-Laurent, dans le contexte des interactions entre eaux douces et eaux salées.
Dans ce cadre, des profils verticaux de données CTD (conductivité, température, profondeur) ont été réalisés dans la colonne d’eau au niveau de 34 stations dans le fleuve Saint-Laurent (depuis la ville de Sorel-Tracy) et son estuaire moyen (à la hauteur de la ville de Cacouna). Ces profils ont été réalisés de la surface jusqu’à une distance moyenne d’environ 1 m du fond marin. Ils intègrent des mesures de température, de salinité, de densité, d’oxygène dissous, de transmission de la lumière, de stratification verticale du milieu et de vitesse du son dans l’eau de mer. Des échantillons discrets d’eau ont été réalisés à différentes stations et profondeurs dans le but de comparer les mesures réalisées directement par la CTD à des analyses en laboratoire des concentrations en chlorophylle a (63 échantillons, 37 stations). Ces comparaisons ont permis d’affiner les calibrations des données de fluorescence issues de la CTD.
description: The concerted Lampsilis mission in August to September 2019, funded by the St. Lawrence Odyssey program of the Réseau Québec maritime (RQM), aimed to gather strategic scientific knowledge for the understanding and management of the St. Lawrence River and Gulf. This mission enabled a wide-ranging acquisition of multidisciplinary data for 7 projects centred around two major research areas: water quality, and the monitoring of biological communities in the St. Lawrence, in the context of interactions between fresh and salt water.
Vertical profiles of CTD data (conductivity, temperature, depth) were made in the water column at 34 stations in the St. Lawrence River (from the town of Sorel-Tracy) and its Upper Estuary (at the town of Cacouna). These profiles were taken from the surface to an average distance of around 1 m from the seabed. They include measurements of temperature, salinity, density, dissolved oxygen, light transmission, vertical stratification and sound velocity in seawater. Discrete water samples were taken at various stations and depths to compare CTD's direct measurements with laboratory analyses of chlorophyll-a concentrations (63 samples, 37 stations). These comparisons were used to adjust the calibration of fluorescence data from the CTD.