cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3893842
title: Cyclic friction tests of ballast stones interfaces under varying vertical load

description: This data set contains results from cyclic ballast-ballast friction tests under varying load.<br> Two types of railway ballast were tested: “Calcite” (stems from Croatia) and “Kieselkalk”, also known as Helvetic Siliceous Limestone, (stems from Switzerland).<br> In each friction test, a stone with a distictive tip was sheared over a flat (stone) surface under a given normal load.<br> The applied normal load was increased from 10 N to 100 N in several load steps in each test.<br> For each applied load, a given number of cycles were conducted.<br> In total, 7 tests were conducted for Calcite and 8 for Kieselkalk.<br> The test results are provided in .csv files and contain (among other values) the measured coefficient of friction (CoF) values.<br> The test were organised in three test series. In all conducted test, the angular tip stones were 3D scanned before and after the tests.<br> Test series 1 and 2, involved a 3D scanning before each load increase.<br> The data of these tip scans are also provided (in .ply file format). From the 3D scans the contact areas were calculated (using an alogorithm described in the paper below).<br> A detailed description of the tests and discussion of measurements can be found in: B. Suhr, T.A. Butcher, R. Lewis, K. Six<br> "Friction and wear in railway ballast stone interfaces"<br> Tribology International 2020<br> https://doi.org/10.1016/j.triboint.2020.106498 <br> This data set is organised as follows: Folder FrictionTests: contains measured data from friction tests in .csv file format.<br> Folder TipScans: contains data from scans of ballast tip stones before/in between/after cyclic friction tests. Meshes are provided in .ply file format.<br> Folder TipScans: contains two files with detail information on the contact area calculation (for the two types of ballast tested) Each folder contains three subfolder: Series1, Series2, Series3, which contains the data of the corresponding test series,<br> see paper above for a more detailed description. Check the README.txt file for more information on the technical aspects The investigated ballast types are the same, as previously investigated 1) in uniaxial compression tests and direct shear tests:<br> Suhr, Bettina, & Six, Klaus. (2018).<br> "Compression tests and direct shear test of two types of railway ballast [Data set]"<br> Zenodo. http://doi.org/10.5281/zenodo.1423742 2) in shape analysis including 3D scans:<br> Suhr, Bettina, Six, Klaus, Skipper, William A., & Lewis, Roger. (2020).<br> "3D scans of two types of railway ballast including shape analysis information [Data set]".<br> Zenodo. http://doi.org/10.5281/zenodo.3689592
DOI: 10.5281/zenodo.7304012
title: Data for "Density staircases generated by symmetric instability in a cross-equatorial deep western boundary current"

description: Data associated with the git repository dwbc-proj.
DOI: 10.15156/bio/587481
title: UNITE QIIME release

description: Three sets of QIIME files are released, corresponding to the SHs resulting from clustering at the 97% and 99% threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 97% level, some at the 97.5% level, some at the 98% level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files.
DOI: 10.17632/9bzcw5yrpx.1
title: Knowledge and attitudes about microplastics

description: Dataset in spreadsheet format
DOI: 10.6084/m9.figshare.21586389
title: PROCHECK assessment results

description: Quality assessment of ENO1 models
DOI: 10.6084/m9.figshare.21586389.v1
title: PROCHECK assessment results

description: Quality assessment of ENO1 models
DOI: 10.5517/ccdc.csd.cc27ldx5
title: CCDC 2073277: Experimental Crystal Structure Determination

description: Related Article: Han Ding, Shuwei Zhang, Zheng Sun, Qiyuan Ma, Yuemei Li, Yu Yuan, Xiaodong Jia|2022|J.Org.Chem.|87|15139|doi:10.1021/acs.joc.2c01641
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.cc29cdhl
title: CCDC 2126119: Experimental Crystal Structure Determination

description: Related Article: Han Ding, Shuwei Zhang, Zheng Sun, Qiyuan Ma, Yuemei Li, Yu Yuan, Xiaodong Jia|2022|J.Org.Chem.|87|15139|doi:10.1021/acs.joc.2c01641
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.cc2by7m5
title: CCDC 2173057: Experimental Crystal Structure Determination

description: Related Article: Tristan T. Adamson, Katherine B. Uttley, Steven P. Kelley, Wesley H. Bernskoetter|2022|Organometallics|41|2909|doi:10.1021/acs.organomet.2c00339
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.cc2by7n6
title: CCDC 2173058: Experimental Crystal Structure Determination

description: Related Article: Tristan T. Adamson, Katherine B. Uttley, Steven P. Kelley, Wesley H. Bernskoetter|2022|Organometallics|41|2909|doi:10.1021/acs.organomet.2c00339
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.cc2by7p7
title: CCDC 2173059: Experimental Crystal Structure Determination

description: Related Article: Tristan T. Adamson, Katherine B. Uttley, Steven P. Kelley, Wesley H. Bernskoetter|2022|Organometallics|41|2909|doi:10.1021/acs.organomet.2c00339
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.cc2by7q8
title: CCDC 2173060: Experimental Crystal Structure Determination

description: Related Article: Tristan T. Adamson, Katherine B. Uttley, Steven P. Kelley, Wesley H. Bernskoetter|2022|Organometallics|41|2909|doi:10.1021/acs.organomet.2c00339
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.cc2bzr8c
title: CCDC 2174503: Experimental Crystal Structure Determination

description: Related Article: Guangwei Shao, Mingliang Wu, Xin Wang, Jingjing Zhao, Xiaoxiao You, Di Wu, Jianlong Xia|2022|J.Org.Chem.|87|14825|doi:10.1021/acs.joc.2c01246
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.7337202
title: Resultats Practica1 Tipologia i cicle de vida de les dades UOC

description: Preus del dia 18/11/2022 de diferents productes en una serie de supermercats.
DOI: 10.5281/zenodo.7337201
title: Resultats Practica1 Tipologia i cicle de vida de les dades UOC

description: Preus del dia 18/11/2022 de diferents productes en una serie de supermercats.
DOI: 10.5281/zenodo.7337231
title: Filmografía occidental entre 2009-2015. Títulos y fichas técnicas

description: Dataset incluye los títulos de películas más su ficha técnica para el periodo comprendido entre el 2009 y el 2015 obtenidos a partir de Web Scraping utilizando Python y librerías como BeautifulSoup. Se eligieron las películas pertenecientes a los mercados cinematográficos más influyentes del mundo occidental. Así, el dataset contiene películas de EE.UU, Francia, Italia, España, México, Argentina. Las fuentes de las que extrae esta información son catálogo del Ministerio de Cultura y Deporte y Wikipedia. Este dataset está pendiente de limpieza pero los campos con mayor relevancia son: spa_title: Título en español de la película eng_title: Título en inglés de la película year: Año de publicación de la película name: Nombre de la película. image: Imagen significativa o poster de la película. alt: Texto alternativo a la imagen. caption: <em>Caption</em> de la imagen. native_name: Título original de la película. director: Director de la película. writer: Guionista de la película. screenplay: Director de escenografía. story: Escritor de la historia. based_on: Obra en la que está basada la película. Producer: Productor de la película. Starring: Elenco de actores/actrices. narrator: Narrador de la película. cinematography: Director de fotografía. editing: Editor de la película. music: Director musical. animator: Equipo de animadores o animador. layout_artist: Artista conceptual/Boceto background_artist: Artista de fondos y escenarios. color_process: Gama cromática de la película (Ej. blanco y negro, sepias, etc.) studio or production_companies: Estudio o productora. distributor: Distribuidora. released: Fecha de estreno. runtime: Duración de la película. country: País de producción. language: Lenguaje principal. budget: Presupuesto de la película. gross: Recaudación de la película.
description: Tipología y ciclo de vida de los datos - M2.851_Practica1. arovirarovi y avegmor
DOI: 10.5281/zenodo.7337230
title: Filmografía occidental entre 2009-2015. Títulos y fichas técnicas

description: Dataset incluye los títulos de películas más su ficha técnica para el periodo comprendido entre el 2009 y el 2015 obtenidos a partir de Web Scraping utilizando Python y librerías como BeautifulSoup. Se eligieron las películas pertenecientes a los mercados cinematográficos más influyentes del mundo occidental. Así, el dataset contiene películas de EE.UU, Francia, Italia, España, México, Argentina. Las fuentes de las que extrae esta información son catálogo del Ministerio de Cultura y Deporte y Wikipedia. Este dataset está pendiente de limpieza pero los campos con mayor relevancia son: spa_title: Título en español de la película eng_title: Título en inglés de la película year: Año de publicación de la película name: Nombre de la película. image: Imagen significativa o poster de la película. alt: Texto alternativo a la imagen. caption: <em>Caption</em> de la imagen. native_name: Título original de la película. director: Director de la película. writer: Guionista de la película. screenplay: Director de escenografía. story: Escritor de la historia. based_on: Obra en la que está basada la película. Producer: Productor de la película. Starring: Elenco de actores/actrices. narrator: Narrador de la película. cinematography: Director de fotografía. editing: Editor de la película. music: Director musical. animator: Equipo de animadores o animador. layout_artist: Artista conceptual/Boceto background_artist: Artista de fondos y escenarios. color_process: Gama cromática de la película (Ej. blanco y negro, sepias, etc.) studio or production_companies: Estudio o productora. distributor: Distribuidora. released: Fecha de estreno. runtime: Duración de la película. country: País de producción. language: Lenguaje principal. budget: Presupuesto de la película. gross: Recaudación de la película.
description: Tipología y ciclo de vida de los datos - M2.851_Practica1. arovirarovi y avegmor
DOI: 10.5281/zenodo.7337235
title: Escales Vaixells 2019 - Port de Tarragona

description: Dataset de les escales de vaixells al Port de Tarragona durant el 2019 obtingut a través del scraper del repositori https://github.com/arnaugiribet/scrapings
DOI: 10.5281/zenodo.7337234
title: Escales Vaixells 2019 - Port de Tarragona

description: Dataset de les escales de vaixells al Port de Tarragona durant el 2019 obtingut a través del scraper del repositori https://github.com/arnaugiribet/scrapings
DOI: 10.21227/y5rr-qq72
title: Analytical Modeling of Age of Information in Status Update Systems with Heterogeneous Information Sources: An Absorbing Markov Chain-based Approac

description: Aiming the analytical modeling of Age of Information (AoI) and Peak-AoI, uploaded codes construct and solve analytical models for Non-preemptive Bufferless, Probabilistic Generate-at-will (GAW) and Random Arrival with Single Buffer (RA-SB) servers using the theory of absorbing Markov Chains. In particular, they output per-source PAoI/AoI distributions in a setting with general number of sources where the sources may have different (i) general phase-type service time distributions, (ii) packet error probabilities and (iii) arrival rates. Towards the usage of analytical models, the script "numericalExample.m" provides an example which obtains per-source mean PAoI and AoI values as well as per-source PAoI and AoI violation probabilities for different servers.
DOI: 10.5517/ccdc.csd.cc2ck7kr
title: CCDC 2191314: Experimental Crystal Structure Determination

description: Related Article: Kang Chen, Baoli Zhao, Yunyun Liu, Jie-Ping Wan|2022|J.Org.Chem.|87|14957|doi:10.1021/acs.joc.2c01881
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.cc2clp9z
title: CCDC 2192701: Experimental Crystal Structure Determination

description: Related Article: Gang Yang, Lin Yao, Guojiang Mao, Guo-Jun Deng, Fuhong Xiao|2022|J.Org.Chem.|87|14523|doi:10.1021/acs.joc.2c01939
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: 10.3886/e123401v2
title: Institutional Origins of COVID-19 Public Health Protective Policy Response (PPI)

description: The PPI measures public health government responses to COVID-19 at all levels of government throughout the world. The PPI measure considers the extent of COVID-19 policy responses in the following categories: state of emergencies, border closures, school closures, social gathering, and social distancing limitations, home-bound policies, medical isolation policies, closure/restriction of businesses and services, and the mandates to wear face masks. The coding for public health policies is based on government websites and reputable news sources reporting adoption of these policies.<br><br>Total, National, and Subnational Indices are calculated based on the standing public health policies adopted at various levels of government for each unit (state, province, etc.) for each day, by adding together the highest values across levels of government in each category on that day and normalizing to range between 0 and 1.<br><br>National and subnational PPIs were constructed with the values in each category from just national- or just subnational-level policies. The current version of the data set contains public health protective policies on the national and sub-national levels, while we plan to expand to the municipal level in the future. The unit of analysis is unit-day.<br><br>Regular updates of this dataset are posted in the dedicated GitHub repository (https://github.com/COVID-policy-response-lab/PPI-data).<br><br><br><br>
description: Public Health Policies/Non-Medical Interventions in Response to COVID-19.
DOI: 10.3886/e123401v3
title: Institutional Origins of COVID-19 Public Health Protective Policy Response (PPI)

description: The PPI measures public health government responses to COVID-19 at all levels of government throughout the world. The PPI measure considers the extent of COVID-19 policy responses in the following categories: state of emergencies, border closures, school closures, social gathering, and social distancing limitations, home-bound policies, medical isolation policies, closure/restriction of businesses and services, and the mandates to wear face masks. The coding for public health policies is based on government websites and reputable news sources reporting adoption of these policies.<br><br>Total, National, and Subnational Indices are calculated based on the standing public health policies adopted at various levels of government for each unit (state, province, etc.) for each day, by adding together the highest values across levels of government in each category on that day and normalizing to range between 0 and 1.<br><br>National and subnational PPIs were constructed with the values in each category from just national- or just subnational-level policies. The current version of the data set contains public health protective policies on the national and sub-national levels, while we plan to expand to the municipal level in the future. The unit of analysis is unit-day.<br><br>Regular updates of this dataset are posted in the dedicated GitHub repository (https://github.com/COVID-policy-response-lab/PPI-data). <br><br>An ArcGIS dashboard with the project data can be found here: https://elcamaleon.binghamton.edu/portal/apps/opsdashboard/index.html#/cc61a3652eb74b8ea8864928e8026...<br><br><br><br>
description: Public Health Policies/Non-Medical Interventions in Response to COVID-19.
DOI: 10.3886/e123401v3-112580
title: Institutional Origins of COVID-19 Public Health Protective Policy Response (PPI)

description: The PPI measures public health government responses to COVID-19 at all levels of government throughout the world. The PPI measure considers the extent of COVID-19 policy responses in the following categories: state of emergencies, border closures, school closures, social gathering, and social distancing limitations, home-bound policies, medical isolation policies, closure/restriction of businesses and services, and the mandates to wear face masks. The coding for public health policies is based on government websites and reputable news sources reporting adoption of these policies.<br><br>Total, National, and Subnational Indices are calculated based on the standing public health policies adopted at various levels of government for each unit (state, province, etc.) for each day, by adding together the highest values across levels of government in each category on that day and normalizing to range between 0 and 1.<br><br>National and subnational PPIs were constructed with the values in each category from just national- or just subnational-level policies. The current version of the data set contains public health protective policies on the national and sub-national levels, while we plan to expand to the municipal level in the future. The unit of analysis is unit-day.<br><br>Regular updates of this dataset are posted in the dedicated GitHub repository (https://github.com/COVID-policy-response-lab/PPI-data). <br><br>An ArcGIS dashboard with the project data can be found here: https://elcamaleon.binghamton.edu/portal/apps/opsdashboard/index.html#/cc61a3652eb74b8ea8864928e8026...<br><br><br><br>
description: Public Health Policies/Non-Medical Interventions in Response to COVID-19.
DOI: 10.3886/e123401v4
title: Institutional Origins of COVID-19 Public Health Protective Policy Response (PPI)

description: The PPI measures public health government responses to COVID-19 at all levels of government throughout the world. The PPI measure considers the extent of COVID-19 policy responses in the following categories: state of emergencies, border closures, school closures, social gathering, and social distancing limitations, home-bound policies, medical isolation policies, closure/restriction of businesses and services, and the mandates to wear face masks. The coding for public health policies is based on government websites and reputable news sources reporting adoption of these policies.<br><br>Total, National, and Subnational Indices are calculated based on the standing public health policies adopted at various levels of government for each unit (state, province, etc.) for each day, by adding together the highest values across levels of government in each category on that day and normalizing to range between 0 and 1.<br><br>National and subnational PPIs were constructed with the values in each category from just national- or just subnational-level policies. The current version of the data set contains public health protective policies on the national and sub-national levels, while we plan to expand to the municipal level in the future. The unit of analysis is unit-day.<br><br>Regular updates of this dataset are posted in the dedicated GitHub repository (https://github.com/COVID-policy-response-lab/PPI-data). <br><br>An ArcGIS dashboard with the project data can be found here: https://elcamaleon.binghamton.edu/portal/apps/opsdashboard/index.html#/cc61a3652eb74b8ea8864928e8026...<br><br><br><br>
description: Public Health Policies/Non-Medical Interventions in Response to COVID-19.