cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6384740
title: data set from the article De Marco F, Casenghi M, Spagnolo P, Popolo Rubbio A, Brambilla N, Testa L, Bedogni F. A patient-specific algorithm to achieve commissural alignment with Acurate Neo: The sextant technique. Catheter Cardiovasc Interv. 2021 Nov 15;98(6):E847-E854. doi: 10.1002/ccd.29737. Epub 2021 May 7. PMID: 33960624.

description: data set from the article De Marco F, Casenghi M, Spagnolo P, Popolo Rubbio A, Brambilla N, Testa L, Bedogni F. A patient-specific algorithm to achieve commissural alignment with Acurate Neo: The sextant technique. Catheter Cardiovasc Interv. 2021 Nov 15;98(6):E847-E854. doi: 10.1002/ccd.29737. Epub 2021 May 7. PMID: 33960624 abstract: <strong>Aims: </strong>The aim of this proof-of-concept study was to investigate safety and efficacy of a CT-scan based patient-specific algorithm to maximize coronary clearance and secondarily to achieve anatomically correct commissural alignment with the Acurate Neo device. <strong>Method and results: </strong>A total of 45 consecutive patients undergoing TAVR with the Acurate Neo THV were prospectively enrolled in the study. Mean age was 81.6 ± 5.5 years, mean STS score was 6.1 ± 3.7. Device success rate was 100%. Aim of the technique was to rotationally deploy the TAVR device with a commissure lying on the bisector between the coronary ostia as calculated on the pre-procedural CT-scan. At post-TAVR CT-scan, coronary clearance was achieved in 98% of patients with no cases of severe coronary artery overlap. In 42 out of 45 patients, THV was aligned or, at most, mildly misaligned; there were 2 cases of moderate misalignment without any case of severe misalignment. Post-TAVR selective coronary artery engagement was attempted and succeeded in all patients (100%). <strong>Conclusion: </strong>Our CT-scan based patient-specific algorithm is safe and proven to be effective in avoiding coronary artery overlap and providing commissural alignment with Acurate Neo in all treated patients.
DOI: 10.5281/zenodo.6384739
title: data set from the article De Marco F, Casenghi M, Spagnolo P, Popolo Rubbio A, Brambilla N, Testa L, Bedogni F. A patient-specific algorithm to achieve commissural alignment with Acurate Neo: The sextant technique. Catheter Cardiovasc Interv. 2021 Nov 15;98(6):E847-E854. doi: 10.1002/ccd.29737. Epub 2021 May 7. PMID: 33960624.

description: data set from the article De Marco F, Casenghi M, Spagnolo P, Popolo Rubbio A, Brambilla N, Testa L, Bedogni F. A patient-specific algorithm to achieve commissural alignment with Acurate Neo: The sextant technique. Catheter Cardiovasc Interv. 2021 Nov 15;98(6):E847-E854. doi: 10.1002/ccd.29737. Epub 2021 May 7. PMID: 33960624 abstract: <strong>Aims: </strong>The aim of this proof-of-concept study was to investigate safety and efficacy of a CT-scan based patient-specific algorithm to maximize coronary clearance and secondarily to achieve anatomically correct commissural alignment with the Acurate Neo device. <strong>Method and results: </strong>A total of 45 consecutive patients undergoing TAVR with the Acurate Neo THV were prospectively enrolled in the study. Mean age was 81.6 ± 5.5 years, mean STS score was 6.1 ± 3.7. Device success rate was 100%. Aim of the technique was to rotationally deploy the TAVR device with a commissure lying on the bisector between the coronary ostia as calculated on the pre-procedural CT-scan. At post-TAVR CT-scan, coronary clearance was achieved in 98% of patients with no cases of severe coronary artery overlap. In 42 out of 45 patients, THV was aligned or, at most, mildly misaligned; there were 2 cases of moderate misalignment without any case of severe misalignment. Post-TAVR selective coronary artery engagement was attempted and succeeded in all patients (100%). <strong>Conclusion: </strong>Our CT-scan based patient-specific algorithm is safe and proven to be effective in avoiding coronary artery overlap and providing commissural alignment with Acurate Neo in all treated patients.
DOI: 10.5281/zenodo.6384007
title: Accompanying simulated data for "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity"

description: The multilevel hidden Markov model (MHMM) is a promising vehicle to investigate latent dynamics over time in social and behavioral processes. By including continuous individual random effects, the model accommodates variability between individuals, providing individual-specific trajectories and facilitating the study of individual differences. However, the performance of the MHMM has not been sufficiently explored. Currently, there are no practical guidelines on the sample size needed to obtain reliable estimates related to categorical data characteristics We performed an extensive simulation to assess the effect of the number of dependent variables (1-4), the number of individuals (5-90), and the number of observations per individual (100-1600) on the estimation performance of group-level parameters and between-individual variability on a Bayesian MHMM with categorical data of various levels of complexity. We found that using multivariate data generally alleviates the sample size needed and improves the stability of the results. Regarding the estimation of group-level parameters, the number of individuals and observations largely compensate for each other. Meanwhile, only the former drives the estimation of between-individual variability. We conclude with guidelines on the sample size necessary based on the complexity of the data and the study objectives of the practitioners. This repository contains data generated for the manuscript: "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity". It comprehends: (1) model outputs (maximum a posteriori estimates) for each repetition (n=100) of each scenario (n=324) of the main simulation, (2) complete model outputs (including estimates for 4000 MCMC iterations) for two chains of each repetition (n=3) of each scenario (n=324). Please note that the empirical data used in the manuscript is not available as part of this repository. A subsample of the data used in the empirical example are openly available as an example data set in the R package mHMMbayes on CRAN. The full data set is available on request from the authors.
DOI: 10.5281/zenodo.6384006
title: Accompanying simulated data for "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity"

description: The multilevel hidden Markov model (MHMM) is a promising vehicle to investigate latent dynamics over time in social and behavioral processes. By including continuous individual random effects, the model accommodates variability between individuals, providing individual-specific trajectories and facilitating the study of individual differences. However, the performance of the MHMM has not been sufficiently explored. Currently, there are no practical guidelines on the sample size needed to obtain reliable estimates related to categorical data characteristics We performed an extensive simulation to assess the effect of the number of dependent variables (1-4), the number of individuals (5-90), and the number of observations per individual (100-1600) on the estimation performance of group-level parameters and between-individual variability on a Bayesian MHMM with categorical data of various levels of complexity. We found that using multivariate data generally alleviates the sample size needed and improves the stability of the results. Regarding the estimation of group-level parameters, the number of individuals and observations largely compensate for each other. Meanwhile, only the former drives the estimation of between-individual variability. We conclude with guidelines on the sample size necessary based on the complexity of the data and the study objectives of the practitioners. This repository contains data generated for the manuscript: "Go multivariate: a Monte Carlo study of a multilevel hidden Markov model with categorical data of varying complexity". It comprehends: (1) model outputs (maximum a posteriori estimates) for each repetition (n=100) of each scenario (n=324) of the main simulation, (2) complete model outputs (including estimates for 4000 MCMC iterations) for two chains of each repetition (n=3) of each scenario (n=324). Please note that the empirical data used in the manuscript is not available as part of this repository. A subsample of the data used in the empirical example are openly available as an example data set in the R package mHMMbayes on CRAN. The full data set is available on request from the authors.
DOI: 10.5523/bris.3tncqi96uvlkg2451y8qfpjlfx
title: COAC Study Quantitative Data

description: Quantitative data for the COAC Study
DOI: 10.6084/m9.figshare.19379831
title: BioInv_Establishment_VIF_Rivers_17Mar2022.csv

description: Rivers and associated environmental variables input into Variance Inflation Factor Analysis prior to running logistic regressions.
DOI: 10.6084/m9.figshare.19379831.v2
title: BioInv_Establishment_VIF_Rivers_17Mar2022.csv

description: Rivers and associated environmental variables input into Variance Inflation Factor Analysis prior to running logistic regressions.
DOI: 10.6084/m9.figshare.19379831.v1
title: BioInv_Establishment_VIF_Rivers_17Mar2022.csv

description: Rivers and associated environmental variables input into Variance Inflation Factor Analysis prior to running logistic regressions.
DOI: 10.6084/m9.figshare.19411421.v1
title: High-resolution logbook data

description: To increase the level of detail, a supplementary native logbook dataset of direct observations, collected in 2019 by scientific personnel on 45 commercial fishing vessels (19 OTB, 8 TBB, and 18 PTM), and containing landings and fuel consumption information, was combined with the on-site energy audits. The Electronic logbook is the key element of the Electronic Recording and reporting System (ERS) defined within the European Fisheries Control Framework used to record, report, process, store and send fishery data (catches, landings, sales and transhipment). The analysed logbook 2019 data were thus effort (in active fishing days), fuel consumption, and annual landings overall and by species, which allowed the computation of FUI and CF of each fishing vessel. In order to obtain fisheries-specific fuel use estimation, the combined dataset (e.g., energy audits and high-resolution logbook dataset) was used to model the relationship between daily fuel consumption and vessel length overall (LOA). This theoretical LOA-based fuel use model, responding to the combined analysed dataset, was then scaled up to infer the daily fuel consumption of the entire national fleet/segments.
DOI: 10.6084/m9.figshare.19411421
title: High-resolution logbook data

description: To increase the level of detail, a supplementary native logbook dataset of direct observations, collected in 2019 by scientific personnel on 45 commercial fishing vessels (19 OTB, 8 TBB, and 18 PTM), and containing landings and fuel consumption information, was combined with the on-site energy audits. The Electronic logbook is the key element of the Electronic Recording and reporting System (ERS) defined within the European Fisheries Control Framework used to record, report, process, store and send fishery data (catches, landings, sales and transhipment). The analysed logbook 2019 data were thus effort (in active fishing days), fuel consumption, and annual landings overall and by species, which allowed the computation of FUI and CF of each fishing vessel. In order to obtain fisheries-specific fuel use estimation, the combined dataset (e.g., energy audits and high-resolution logbook dataset) was used to model the relationship between daily fuel consumption and vessel length overall (LOA). This theoretical LOA-based fuel use model, responding to the combined analysed dataset, was then scaled up to infer the daily fuel consumption of the entire national fleet/segments.
DOI: 10.6084/m9.figshare.19411421.v3
title: High-resolution logbook data

description: To increase the level of detail, a supplementary native logbook dataset of direct observations, collected in 2019 by scientific personnel on 45 commercial fishing vessels (19 OTB, 8 TBB, and 18 PTM), and containing landings and fuel consumption information, was combined with the on-site energy audits. The Electronic logbook is the key element of the Electronic Recording and reporting System (ERS) defined within the European Fisheries Control Framework used to record, report, process, store and send fishery data (catches, landings, sales and transhipment). The analysed logbook 2019 data were thus effort (in active fishing days), fuel consumption, and annual landings overall and by species, which allowed the computation of FUI and CF of each fishing vessel. In order to obtain fisheries-specific fuel use estimation, the combined dataset (e.g., energy audits and high-resolution logbook dataset) was used to model the relationship between daily fuel consumption and vessel length overall (LOA). This theoretical LOA-based fuel use model, responding to the combined analysed dataset, was then scaled up to infer the daily fuel consumption of the entire national fleet/segments.
DOI: 10.6084/m9.figshare.19411421.v2
title: High-resolution logbook data

description: To increase the level of detail, a supplementary native logbook dataset of direct observations, collected in 2019 by scientific personnel on 45 commercial fishing vessels (19 OTB, 8 TBB, and 18 PTM), and containing landings and fuel consumption information, was combined with the on-site energy audits. The Electronic logbook is the key element of the Electronic Recording and reporting System (ERS) defined within the European Fisheries Control Framework used to record, report, process, store and send fishery data (catches, landings, sales and transhipment). The analysed logbook 2019 data were thus effort (in active fishing days), fuel consumption, and annual landings overall and by species, which allowed the computation of FUI and CF of each fishing vessel. In order to obtain fisheries-specific fuel use estimation, the combined dataset (e.g., energy audits and high-resolution logbook dataset) was used to model the relationship between daily fuel consumption and vessel length overall (LOA). This theoretical LOA-based fuel use model, responding to the combined analysed dataset, was then scaled up to infer the daily fuel consumption of the entire national fleet/segments.
DOI: 10.5281/zenodo.6383910
title: VT catalogue of Costa Rica from 2005 to 2021

description: Catalogue of the VT earthquakes recorded on Covta Rica volcanoes
DOI: 10.6084/m9.figshare.19419785
title: All data for the paper “Experimental and numerical studies of the impact breakage of granite with high ejection velocities”

description: All relevant data are within the dataset. The data in Fig 4, Fig 5 and Fig 6 are contained in the files DIC-20.gcorrelate, DIC-25.gcorrelate and DIC-30.gcorrelate, respectively, and these files can be opened by GOM Correlate Professional 2017. Data for other graphs is contained in the file Figures.opj, and this file can be opened by the Origin software.
DOI: 10.6084/m9.figshare.19419785.v1
title: All data for the paper “Experimental and numerical studies of the impact breakage of granite with high ejection velocities”

description: All relevant data are within the dataset. The data in Fig 4, Fig 5 and Fig 6 are contained in the files DIC-20.gcorrelate, DIC-25.gcorrelate and DIC-30.gcorrelate, respectively, and these files can be opened by GOM Correlate Professional 2017. Data for other graphs is contained in the file Figures.opj, and this file can be opened by the Origin software.
DOI: 10.23729/0ac4f2ac-0594-47a1-a1c8-3e08e1e8b558
title: KovePro CPB preview

description: Cemented Paste Backfill samples imaged for KovePro project and included in Solismaa, S., et al, 2021. Substitution of Cement with Granulated Blast Furnace Slag in Cemented Paste Backfill: Evaluation of Technical and Chemical Properties. Minerals 11. There are two samples for each recipe, contents of which are listed in the publication. Preview set for KovePro: https://doi.org/10.23729/c54d00f3-62c9-4830-ba8b-1cebffc68199 Preview of PAS dataset https://doi.org/10.23729/3a92b4b2-bbc8-45a4-bd23-66bbdd1844d1
DOI: 10.5517/ccdc.csd.cc2bf9sw
title: CCDC 2157748: Experimental Crystal Structure Determination

description: Related Article: J.E. Hines III, C.J. Deere, P. Vaddi, R.R. Kondati, F.R. Fronczek, R.M. Uppu|2022|IUCrData|7|x220277|doi:10.1107/S2414314622002772
DOI: 10.5281/zenodo.6384797
title: The Passenger Experience of Mixed Reality Virtual Display Layouts in Airplane Environments - Participants Questionnaire

description: Dataset for questionnaire data from the paper "<strong>The Passenger Experience of Mixed Reality Virtual Display Layouts in Airplane Environments</strong>" published at ISMAR 2021
DOI: 10.5281/zenodo.6384796
title: The Passenger Experience of Mixed Reality Virtual Display Layouts in Airplane Environments - Participants Questionnaire

description: Dataset for questionnaire data from the paper "<strong>The Passenger Experience of Mixed Reality Virtual Display Layouts in Airplane Environments</strong>" published at ISMAR 2021
DOI: 10.5281/zenodo.5585638
title: Last.fm Social Connections

description: This dataset contains a social network of Last.fm users that are part of the LFM-1b dataset [1] and has been created using the Last.fm API [2].<br> More specifically, we have adopted the breadth-first-search sampling strategy with LFM-1b users as seed nodes and crawled friends up to two hops away (friends and friends of friends). We have kept only those edges where both nodes connected by an edge are part of the original LFM-1b dataset. These edges are stored in the 'LFM-1b_social_ties.txt' file which contains 78,989 edges between 11,792 unique users.<br> Additionally, we have stored demographic and playcount information for each of these users in the 'LFM-1b_users.txt' file.<br> This dataset has been used as input for the purposes of studying homophily and link prediction with user preferences for mainstream, novelty, and diversity in music [3] and to reproduce the experiments from that study, we have also provided an open-source GitHub repository [4]. [1] http://www.cp.jku.at/datasets/LFM-1b/<br> [2] https://www.last.fm/api<br> [3] Duricic, T., Kowald, D., Schedl, M., & Lex, E. (2021, November). My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 447-454).<br> [4] https://github.com/tduricic/homophily-lastfm
DOI: 10.5281/zenodo.5585637
title: Last.fm Social Connections

description: This dataset contains a social network of Last.fm users that are part of the LFM-1b dataset [1] and has been created using the Last.fm API [2].<br> More specifically, we have adopted the breadth-first-search sampling strategy with LFM-1b users as seed nodes and crawled friends up to two hops away (friends and friends of friends). We have kept only those edges where both nodes connected by an edge are part of the original LFM-1b dataset. These edges are stored in the 'LFM-1b_social_ties.txt' file which contains 78,989 edges between 11,792 unique users.<br> Additionally, we have stored demographic and playcount information for each of these users in the 'LFM-1b_users.txt' file.<br> This dataset has been used as input for the purposes of studying homophily and link prediction with user preferences for mainstream, novelty, and diversity in music [3] and to reproduce the experiments from that study, we have also provided an open-source GitHub repository [4]. [1] http://www.cp.jku.at/datasets/LFM-1b/<br> [2] https://www.last.fm/api<br> [3] Duricic, T., Kowald, D., Schedl, M., & Lex, E. (2021, November). My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 447-454).<br> [4] https://github.com/tduricic/homophily-lastfm
DOI: 10.5281/zenodo.4743705
title: Inventory of Policy Interventions related to Energy and Transport Behaviours

description: User behaviour is a complex issue, as it is influenced by a multitude of factors from economic status, age, education, political environment etc. The WHY project aims to identify the possible user reactions and their effect on the energy consumption due to external stimuli. In context of the WHY project these external stimuli are called “interventions”. In this chapter different approaches for policy driven interventions are discussed and presented.
DOI: 10.5281/zenodo.4743704
title: Inventory of Policy Interventions related to Energy and Transport Behaviours

description: User behaviour is a complex issue, as it is influenced by a multitude of factors from economic status, age, education, political environment etc. The WHY project aims to identify the possible user reactions and their effect on the energy consumption due to external stimuli. In context of the WHY project these external stimuli are called “interventions”. In this chapter different approaches for policy driven interventions are discussed and presented.
DOI: 10.15482/usda.adc/1524788
title: Data from: Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?
DOI: 10.5525/gla.researchdata.632
title: Cycling of Rational Hybridization Chain Reaction to Enable Enzyme-Free DNA-Based Clinical Diagnosis

description: This is the raw data for the results presented in the manuscript. It includes images and .csv files.
DOI: 10.25345/c5n00zx7g
title: MassIVE MSV000089130 - 22M010 PRUEBA EXTRACTOS UNAL GNPS 2000 PPM PRUEBA
title: prueba de pasifloras en modo MSMS GNPS a 20 eV probar si se encuentran metabolitos en GNS probar probar
DOI: 10.5281/zenodo.6384840
title: Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ)

description: This dataset comprises a collection of journalistic articles written by young university students in Colombia, which is a product of the project: Analytical Center of University Cultural Productions in the Context of the Conflict (caPAZ), funded by the Ministry of Science, Technology and Innovation (Minciencias) and the National Center for Historical Memory (CNM) of Colombia (under the code: 1349-872-76354, agreement 872 of 2020) This corpus includes news written by the 8 colleges media of the Colombian Network of College Journalism from 2001 to 2021. The dataset includes digital news, for a total of 2373 news items related to the armed conflict, the memory of the victims and the peace process in Colombia. These news items were collected through a web-scraping technique, using 3 lemmatized keywords (conflicto armado, memoria de las víctimas y proceso de paz), with the aim of identifying these regular expressions in the logical operators that run through the HTML structure of each Web page