cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5123331
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.5484107
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.6301040
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7185853
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.5123330
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. <em>LANIREM (</em><em>National MRI Laboratory)</em><em>, Institute of Neurobiology, </em> <em>Universidad Nacional Autónoma de México (UNAM), </em><em>Querétaro, México.</em> <strong>Diego Angeles Valdez, M. Sc. </strong> diego.ang.val@gmail.com diego.ang.val@inb.unam.mx <br> <strong>Eduardo A. Garza-Villarreal, M.D., Ph.D.</strong> egarza@gmail.com egarza@comunidad.unam.mx <strong>Updates</strong> October 11-12, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one. We updated the databases of the variables Addiction Severity Index (ASI), Barratt's Impulsivity Scale version 11 (BIS-11). and Clinical Global Impressions (CGI) Scale. <pre> </pre>
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7185859
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. <em>LANIREM (</em><em>National MRI Laboratory)</em><em>, Institute of Neurobiology, </em> <em>Universidad Nacional Autónoma de México (UNAM), </em><em>Querétaro, México.</em> <strong>Diego Angeles Valdez, M. Sc. </strong> diego.ang.val@gmail.com diego.ang.val@inb.unam.mx <br> <strong>Eduardo A. Garza-Villarreal, M.D., Ph.D.</strong> egarza@gmail.com egarza@comunidad.unam.mx
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7186135
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. <em>LANIREM (</em><em>National MRI Laboratory)</em><em>, Institute of Neurobiology, </em> <em>Universidad Nacional Autónoma de México (UNAM), </em><em>Querétaro, México.</em> <strong>Diego Angeles Valdez, M. Sc. </strong> diego.ang.val@gmail.com diego.ang.val@inb.unam.mx <br> <strong>Eduardo A. Garza-Villarreal, M.D., Ph.D.</strong> egarza@gmail.com egarza@comunidad.unam.mx <strong>Updates</strong> October 11, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one.
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7191090
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. <em>LANIREM (</em><em>National MRI Laboratory)</em><em>, Institute of Neurobiology, </em> <em>Universidad Nacional Autónoma de México (UNAM), </em><em>Querétaro, México.</em> <strong>Diego Angeles Valdez, M. Sc. </strong> diego.ang.val@gmail.com diego.ang.val@inb.unam.mx <br> <strong>Eduardo A. Garza-Villarreal, M.D., Ph.D.</strong> egarza@gmail.com egarza@comunidad.unam.mx <strong>Updates</strong> October 11-12, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one. We updated the databases of the variables Addiction Severity Index (ASI), Barratt's Impulsivity Scale version 11 (BIS-11). and Clinical Global Impressions (CGI) Scale. <pre> </pre>
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7491740
title: SUDMEX_CONN: The Mexican dataset of cocaine use disorder patients.

description: The SUDMEX_CONN is a Mexican open dataset of CUD patients and matched healthy controls that includes demographic, cognitive, clinical and magnetic resonance imaging (MRI) data. The study was done at the National Institute of Psychiatry in Mexico City The MRI sequences are available at https://openneuro.org/datasets/ds003346/versions/1.1.1 If you require more information about data or scales, please contact us. <em>LANIREM (</em><em>National MRI Laboratory)</em><em>, Institute of Neurobiology, </em> <em>Universidad Nacional Autónoma de México (UNAM), </em><em>Querétaro, México.</em> <strong>Diego Angeles Valdez, M. Sc. </strong> diego.ang.val@gmail.com diego.ang.val@inb.unam.mx <br> <strong>Eduardo A. Garza-Villarreal, M.D., Ph.D.</strong> egarza@gmail.com egarza@comunidad.unam.mx <strong>Updates</strong> October 11-12, 2022 The MINI PLUS was coded to reflect all the possible answers we had for questions about substance use as columns. For example, if the patient said to use more than 1 hallucinogen, we would mark the first one in Mini.L1.d1, then d2 is the second hallucinogen, then d3 is the third one. We updated the databases of the variables Addiction Severity Index (ASI), Barratt's Impulsivity Scale version 11 (BIS-11). and Clinical Global Impressions (CGI) Scale. <pre> </pre>
description: Acknowledgements We thank the people who helped this project in one way or another: Alan Dávalos, Adedamola Falana, Francisco J. Pellicer Graham, Margarita López-Titla, Aline Leduc, Erik Morelos-Santana, Lya Paas, Daniela Casillas, Sarael Alcauter, Luis Concha and Bernd Foerster. We also thank Rocio Estrada Ordoñez and Isabel Lizarindari Espinosa Luna at the Unidad de Atención Toxicológica Xochimilco for all their help and effort. Finally, we thank the study participants for their cooperation and patience. Victor Issa-Garcia and Eduardo A. Garza-Villarreal would like to thank Dirección General de Calidad y Educación en Salud, Secretaría de Salud, México for the scholarship support provided to Victor. This project was funded by CONACYT-FOSISS project No. 0201493 and CONACYT-Cátedras project No. 2358948.
DOI: 10.5281/zenodo.7491695
title: Supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK.

description: This dataset represents the supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK. Appendix A - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in 3D PDF format.<br> Appendix B - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in 3D PDF format.<br> Appendix C - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in .obj format.<br> Appendix D - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in .obj format.<br> Appendix E - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix F - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix G - This appendix represents the analytical conditions and geochronology data of the studied samples.
DOI: 10.5281/zenodo.7491694
title: Supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK.

description: This dataset represents the supplementary material to: Using UAV-based photogrammetry coupled with in-situ fieldwork and U-Pb geochronology to decipher multi-phase deformation processes: A case study from Sarclet, Inner Moray Firth Basin, UK. Appendix A - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in 3D PDF format.<br> Appendix B - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in 3D PDF format.<br> Appendix C - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘The Haven and The Stack’ locality in .obj format.<br> Appendix D - This appendix represents the 3D Digital Outcrop Modell (DOM) of Sarclet ‘Muiri Geo’ lo-cality in .obj format.<br> Appendix E - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix F - This appendix represents the orthomosaic of Sarclet ‘Muiri Geo’ locality in GeoTiff format.<br> Appendix G - This appendix represents the analytical conditions and geochronology data of the studied samples.
DOI: 10.34740/kaggle/dsv/4785456
title: YouTube Daily
DOI: 10.5281/zenodo.7491827
title: References to expert knowledge in Google Android, Google Search (Shopping) and Google Search (AdSense) decisions

description: The dataset includes references to expert knowledge identified in Google Android, Google Search (Shopping), and Google Search (AdSense) decisions issued by the Commission. It is divided into types of sources invoked in the decisions (to what type of source they refer).
DOI: 10.5281/zenodo.7491826
title: References to expert knowledge in Google Android, Google Search (Shopping) and Google Search (AdSense) decisions

description: The dataset includes references to expert knowledge identified in Google Android, Google Search (Shopping), and Google Search (AdSense) decisions issued by the Commission. It is divided into types of sources invoked in the decisions (to what type of source they refer).
DOI: 10.5281/zenodo.5789370
title: Heart Rate Variability for the early detection of cardiac autonomic dysfunction in type 1 diabetes

description: Anonymized dataset with HRV indexes in T1DM patients and matched controls measured in supine and head-up tilt postures. Data used in the paper: "Heart Rate Variability for the Early Detection of Cardiac Autonomic Dysfunction in Type 1 Diabetes" Paolo Castiglioni, Andrea Faini, Anika Nys, Renee De Busser, Martijn Scherrenberg, Esmee Baldussu, Gianfranco Parati, Paul Dendale published on Frontiers in Physiology (2022)
DOI: 10.5281/zenodo.5789369
title: Heart Rate Variability for the early detection of cardiac autonomic dysfunction in type 1 diabetes

description: Anonymized dataset with HRV indexes in T1DM patients and matched controls measured in supine and head-up tilt postures. Data used in the paper: "Heart Rate Variability for the Early Detection of Cardiac Autonomic Dysfunction in Type 1 Diabetes" Paolo Castiglioni, Andrea Faini, Anika Nys, Renee De Busser, Martijn Scherrenberg, Esmee Baldussu, Gianfranco Parati, Paul Dendale published on Frontiers in Physiology (2022)
DOI: 10.34740/kaggle/dsv/4785520
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/4785527
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.21789170
title: HJX

description: AYB bam file
DOI: 10.6084/m9.figshare.21789170.v1
title: HJX

description: AYB bam file
DOI: 10.34740/kaggle/dsv/4785638
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7492034
title: fmaussion/global_glacier_volume_paper: v1.1

description: Code & Data for <em>Hock R., Maussion, F., Marzeion, B. and Nowicki, S., 2023: What is the global glacier ice volume outside the ice sheets?, Journal of Glaciology, accepted.</em> Release: v1.1 (2022-12-29) Changes to v1.0: removed large input files to reduce repository size
DOI: 10.5281/zenodo.7492035
title: fmaussion/global_glacier_volume_paper: v1.0

description: Code & Data for <em>Hock R., Maussion, F., Marzeion, B. and Nowicki, S., 2023: What is the global glacier ice volume outside the ice sheets?, Journal of Glaciology, accepted.</em> Release: v1.0 (2022-12-29)
DOI: 10.5281/zenodo.7492152
title: fmaussion/global_glacier_volume_paper: v1.1

description: Code & Data for <em>Hock R., Maussion, F., Marzeion, B. and Nowicki, S., 2023: What is the global glacier ice volume outside the ice sheets?, Journal of Glaciology, accepted.</em> Release: v1.1 (2022-12-29) Changes to v1.0: removed large input files to reduce repository size
DOI: 10.6084/m9.figshare.21789527
title: Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.

description: <strong>Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.</strong>
DOI: 10.6084/m9.figshare.21789527.v2
title: Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.

description: <strong>Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.</strong>
DOI: 10.6084/m9.figshare.21789527.v1
title: Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.

description: <strong>Tabla 1. Estudios que presentan evidencia de la asociación entre funciones ejecutivas, comprensión lectora y resolución de problemas.</strong>
DOI: 10.34740/kaggle/dsv/4785700
title: YouTube Trending Video Dataset (updated daily)