cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20332704
title: Joint Modeling of Longitudinal Imaging and Survival Data

description: This article considers a joint modeling framework for simultaneously examining the dynamic pattern of longitudinal and ultrahigh-dimensional images and their effects on the survival of interest. A functional mixed effects model is considered to describe the trajectories of longitudinal images. Then, a high-dimensional functional principal component analysis (HD-FPCA) is adopted to extract the principal eigenimages to reduce the ultrahigh dimensionality of imaging data. Finally, a Cox regression model is used to examine the effects of the longitudinal images and other risk factors on the hazard. A theoretical justification shows that a naive two-stage procedure that separately analyzes each part of the joint model produces biased estimation even if the longitudinal images have no measurement error. We develop a Bayesian joint estimation method coupled with efficient Markov chain Monte Carlo sampling schemes to perform statistical inference for the proposed joint model. A Monte Carlo dynamic prediction procedure is proposed to predict the future survival probabilities of subjects given their historical longitudinal images. The proposed model is assessed through extensive simulation studies and an application to Alzheimer’s Disease Neuroimaging Initiative, which turns out to hold the promise of accuracy and possess higher predictive capacity for survival outcome compared with existing methods. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20332704.v1
title: Joint Modeling of Longitudinal Imaging and Survival Data

description: This paper considers a joint modeling framework for simultaneously examining the dynamic pattern of longitudinal and ultrahigh-dimensional images and their effects on the survival of interest. A functional mixed effects model is considered to describe the trajectories of longitudinal images. Then, a high-dimensional functional principal component analysis (HD-FPCA) is adopted to extract the principal eigenimages to reduce the ultrahigh dimensionality of imaging data. Finally, a Cox regression model is used to examine the effects of the longitudinal images and other risk factors on the hazard. A theoretical justification shows that a naive two-stage procedure that separately analyzes each part of the joint model produces biased estimation even if the longitudinal images have no measurement error. We develop a Bayesian joint estimation method coupled with efficient Markov chain Monte Carlo sampling schemes to perform statistical inference for the proposed joint model. A Monte Carlo dynamic prediction procedure is proposed to predict the future survival probabilities of subjects given their historical longitudinal images. The proposed model is assessed through extensive simulation studies and an application to Alzheimer’s Disease Neuroimaging Initiative, which turns out to hold the promise of accuracy and possess higher predictive capacity for survival outcome compared with existing methods.
DOI: 10.25318/36280001202200900003-eng
title: Who are Canada’s legislators? Characteristics and gender gaps among members of legislative bodies

description: In 2015, Canada witnessed its first gender-balanced federal cabinet. The share of women among candidates in federal elections and elected candidates has been increasing, although the share of women elected to the federal parliament remains lower than the share of female candidates. Using census data from 2016 and 2001, and the 2011 National Household Survey, this study presents a profile of individuals who worked as legislators in 2016 in the federal public administration; provincial or territorial public administration; or municipal, local or regional public administration, and highlights differences in socio-demographic characteristics between male and female legislators.
DOI: 10.25318/36280001202200900003-fra
title: Qui sont les membres des corps législatifs canadiens? Caractéristiques des membres des corps législatifs et écarts entre les genres

description: En 2015, le Canada a connu son premier Cabinet fédéral paritaire. La proportion de femmes parmi les candidats aux élections fédérales et les candidats élus a augmenté, bien que la proportion de femmes élues au Parlement fédéral demeure inférieure à la proportion de candidates. S’appuyant sur les données des recensements de 2016 et de 2001 et de l’Enquête nationale auprès des ménages de 2011, cette étude présente un profil des personnes qui ont travaillé en 2016 comme législateur dans l’administration publique fédérale, provinciale ou territoriale ou dans les administrations publiques municipales, locales ou régionales, et met en relief les différences dans les caractéristiques sociodémographiques entre les législateurs et les législatrices.
DOI: 10.5281/zenodo.7116531
title: Automated Model Building of Pyranose Carbohydrates

description: Preliminary results from testing a new method of automated carbohydrate model building into electron density/potential maps.
DOI: 10.5281/zenodo.7116530
title: Automated Model Building of Pyranose Carbohydrates

description: Preliminary results from testing a new method of automated carbohydrate model building into electron density/potential maps.
DOI: 10.26007/q952-d227
title: New Horizons Solar Wind Around Pluto (SWAP) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Solar Wind Around Pluto (SWAP) instrument during the Jupiter encounter mission phase. During the Jupiter mission phase, SWAP made near-continuous science observations, taking data between 2 and 12 times per hour. Inbound to Jupiter, real-time science mode data were taken twice per hour, then 12 measurements were recorded per hour in the Jupiter tail. The Jupiter tail observations continue until about 100 days after closest approach, which corresponds to about 2200 Jupiter radii (RJ) downstream. The time period of the data is 2007 January 07 through 2007 June 20.
DOI: 10.6084/m9.figshare.21215192
title: [TSE] Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study

description: Supplementary Material of Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study publish on Transaction on Software Engineering.
DOI: 10.6084/m9.figshare.21215192.v1
title: [TSE] Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study

description: Supplementary Material of Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study publish on Transaction on Software Engineering.
DOI: 10.26007/dfhh-kn63
title: New Horizons Solar Wind Around Pluto (SWAP) Jupiter Encounter Raw Data

description: This data set contains Raw data taken by the New Horizons Solar Wind Around Pluto (SWAP) instrument during the Jupiter encounter mission phase. During the Jupiter mission phase, SWAP made near-continuous science observations, taking data between 2 and 12 times per hour. Inbound to Jupiter, real-time science mode data were taken twice per hour, then 12 measurements were recorded per hour in the Jupiter tail. The Jupiter tail observations continue until about 100 days after closest approach, which corresponds to about 2200 Jupiter radii (RJ) downstream. The time period of the data is 2007 January 07 through 2007 June 20.
DOI: 10.26007/02b6-rm36
title: New Horizons Student Dust Counter (SDC) Jupiter Encounter Raw Data

description: This data set contains Raw data taken by the New Horizons Student Dust Counter (SDC) instrument during the Jupiter encounter mission phase. For the Jupiter encounter mission phase, SDC collected no science data during the Jupiter flyby, as the requisite spacecraft configuration prevented SDC from operating. There were some very sparse data taken from December, 2006 through April, 2007, and some of very short (or zero) duration after the Jupiter flyby from April, 2007 through June, 2007.
DOI: 10.5281/zenodo.4558139
title: Figures, plotting scripts, and data for "Resolving non-uniform temperature distributions with single-beam absorption spectroscopy. Part II: Implementation from broadband spectra""

description: This dataset contains the necessary* materials to recreate the figures in "Resolving nonuniform temperature distributions with single-beam absorption spectroscopy: Part II: Implementation from broadband spectra." It also contains the time-averaged dual-frequency-comb transmission spectra in the tube furnace experiment of Section 3, and the fits to those data using the NTfit software package. * The Python scripts also require the NTfit package (NTFit version 2.0.0) developed for this paper. Latest version is available at https://gitlab.com/nam5312/ntfit Or guarantee compatibility with NTfit version 2.0.0 at https://doi.org/10.5281/zenodo.4558285 The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This work was funded by the NSF under grant CBET 1454496 with additional funding under AFOSR grant FA9550-17-1-0224.
DOI: 10.5281/zenodo.4268358
title: Figures, plotting scripts, and data for "Resolving non-uniform temperature distributions with single-beam absorption spectroscopy. Part II: Implementation from broadband spectra""

description: This dataset contains the necessary* materials to recreate the figures in "Resolving nonuniform temperature distributions with single-beam absorption spectroscopy: Part II: Implementation from broadband spectra." It also contains the time-averaged dual-frequency-comb transmission spectra in the tube furnace experiment of Section 3, and the fits to those data using the NTfit software package. * The Python scripts also require the NTfit package (NTFit version 2.0.0) developed for this paper. Latest version is available at https://gitlab.com/nam5312/ntfit Or guarantee compatibility with NTfit version 2.0.0 at https://doi.org/10.5281/zenodo.4558285 The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This work was funded by the NSF under grant CBET 1454496 with additional funding under AFOSR grant FA9550-17-1-0224.
DOI: 10.5281/zenodo.4104662
title: Figures, plotting scripts, and data for "Resolving non-uniform temperature distributions with single-beam absorption spectroscopy. Part I: Theoretical capabilities and limitations"

description: This dataset contains the necessary materials to recreate the figures in "Resolving nonuniform temperature distributions with single-beam absorption spectroscopy: Part I: Theoretical capabilities and limitations." The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This work was funded by the NSF under grant CBET 1454496 with additional funding under AFOSR grant FA9550-17-1-0224.
DOI: 10.5281/zenodo.3930910
title: Figures, plotting scripts, and data for "Resolving non-uniform temperature distributions with single-beam absorption spectroscopy. Part I: Theoretical capabilities and limitations"

description: This dataset contains the necessary materials to recreate the figures in "Resolving nonuniform temperature distributions with single-beam absorption spectroscopy: Part I: Theoretical capabilities and limitations." The code included in this dataset is released under the BSD 3-Clause License. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This work was funded by the NSF under grant CBET 1454496 with additional funding under AFOSR grant FA9550-17-1-0224.
DOI: 10.26007/ke28-ke10
title: New Horizons Student Dust Counter (SDC) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Student Dust Counter (SDC) instrument during the Jupiter encounter mission phase. For the Jupiter encounter mission phase, SDC collected no science data during the Jupiter flyby, as the requisite spacecraft configuration prevented SDC from operating. There were some very sparse data taken from December, 2006 through April, 2007, and some of very short duration after the Jupiter flyby from April, 2007 through June, 2007.
DOI: 10.6073/pasta/24451a0b74ece3981d65f3dc5f33f878
title: Interagency Ecological Program: Monitoring of water quality, phytoplankton, zooplankton, clams, and fish to support the Summer-Fall Suisun Marsh Salinity Control Gates Action 2018-2021

description: The Suisun Marsh Salinity Control Gates (SMSCG) have the potential to increase low-salinity-zone habitat for endangered Delta Smelt (Hypomesus transpacificus, California Endangered Species Act listed as Endangered, Federal Endangered Species Act listed as Threatened), and to allow them to more frequently occupy Suisun Marsh, especially Montezuma Slough, one of their most important rearing habitats. Operation of the SMSCG in summer and fall to improve Delta Smelt habitat are called for in the Biological Opinion and Incidental Take permit for the Central Valley Project and State Water Project. To support the adaptive management of the action, the California Department of Water Resources and collaborating agencies monitored water quality, phytoplankton, zooplankton, clams, and fishes during the SMSCG management action in 2018 and subsequent summer and fall months of non-action years (2019-2021). This data package includes data collected by the Interagency Ecological Program’s (IEP) long-term monitoring programs supplemented with targeted sample collection where existing surveys lacked spatial or temporal coverage. Monitoring during no-action years will be used as a baseline for comparison during action years. This data package will be updated annually during both action years and non-action years.
DOI: 10.26007/v0m7-pw47
title: New Horizons Pluto Energetic Particle Spectrometer Science Investigation (PEPSSI) Jupiter Encounter Raw Data

description: This data set contains Raw data taken by the New Horizons Pluto Energetic Particle Spectrometer Science Investigation (PEPSSI) instrument during the Jupiter encounter mission phase. There are PEPSSI data in the Jupiter phase from 2007 January 6 (day 6) to 2007 June 27 (day 178). This period can be separated into three sub-intervals: upstream from January 6 (day 6) to February 19 (day 50); encounter from February 19 (day 50) to March 9 (day 68); tail from March 9 (day 68) to ~June 27 (day 178). The divisions are arbitrary, but provide a coarse characterization of the data taken during this phase. This period does include some tests designed to investigate the instrument's performance under high-rate conditions, but is dominated by data intended for scientific study of Jupiter's magnetosphere, deep magnetotail, and upstream regions.
DOI: 10.26007/hggb-f658
title: New Horizons Pluto Energetic Particle Spectrometer Science Investigation (PEPSSI) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Pluto Energetic Particle Spectrometer Science Investigation (PEPSSI) instrument during the Jupiter encounter mission phase. There are PEPSSI data in the Jupiter phase from 2007 January 6 (day 6) to 2007 June 27 (day 178). This period can be separated into three sub-intervals: upstream from January 6 (day 6) to February 19 (day 50); encounter from February 19 (day 50) to March 9 (day 68); tail from March 9 (day 68) to ~June 27 (day 178). The divisions are arbitrary, but provide a coarse characterization of the data taken during this phase. This period does include some tests designed to investigate the instrument's performance under high-rate conditions, but is dominated by data intended for scientific study of Jupiter's magnetosphere, deep magnetotail, and upstream regions.
DOI: 10.26007/xmy5-zx84
title: New Horizons Multispectral Visible Imaging Camera (MVIC) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Multispectral Visible Imaging Camera (MVIC) instrument during the Jupiter encounter mission phase (2007 January 1 until 2007 June 26). The Ralph (Linear Etalon Imaging Spectral Array (LEISA) and MVIC) Jupiter activities included calibration observations using Callisto and Jupiter as a target, scientific observations of Jovian targets, opnav test observations of Callisto, and mapping of solar input aperture.
DOI: 10.26007/mwhy-rz68
title: New Horizons Multispectral Visible Imaging Camera (MVIC) Jupiter Encounter Raw Data

description: This data set contains Raw data taken by the New Horizons Multispectral Visible Imaging Camera (MVIC) instrument during the Jupiter encounter mission phase (2007 January 1 until 2007 June 26). The Ralph (Linear Etalon Imaging Spectral Array (LEISA) and MVIC) Jupiter activities included calibration observations using Callisto and Jupiter as a target, scientific observations of Jovian targets, opnav test observations of Callisto, and mapping of solar input aperture.
DOI: 10.26007/y15v-qd20
title: New Horizons Long Range Reconnaissance Imager (LORRI) Jupiter Encounter Raw Data

description: This data set contains Raw data taken by the New Horizons Long Range Reconnaissance Imager (LORRI) instrument during the Jupiter encounter mission phase (2007 January 8 through 2007 June 11). LORRI science observations for the Jupiter Phase include observations of the Jovian system: the Jovian atmosphere and clouds including full disk rotation movie and resolved images of selected features like the Great Red Spot and the Little Red Spot; Jovian ring system and associated small satellites; the Galilean satellites with particular attention to Io under both sunlit and eclipse conditions, and eclipse observations of both Europa and Ganymede; the small irregular satellites Elara, Himalia, Callirrhoe. Additional observations were taken to test and/or characterize and/or calibrate the modes and performance of the LORRI.
DOI: 10.26007/tcne-cm20
title: New Horizons Long Range Reconnaissance Imager (LORRI) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Long Range Reconnaissance Imager (LORRI) instrument during the Jupiter encounter mission phase (2007 January 8 through 2007 June 11). LORRI science observations for the Jupiter Phase include observations of the Jovian system: the Jovian atmosphere and clouds including full disk rotation movie and resolved images of selected features like the Great Red Spot and the Little Red Spot; Jovian ring system and associated small satellites; the Galilean satellites with particular attention to Io under both sunlit and eclipse conditions, and eclipse observations of both Europa and Ganymede; the small irregular satellites Elara, Himalia, Callirrhoe.
DOI: 10.26007/0cc7-4a49
title: New Horizons Linear Etalon Imaging Spectral Array (LEISA) Jupiter Encounter Calibrated Data

description: This data set contains Calibrated data taken by the New Horizons Linear Etalon Imaging Spectral Array (LEISA) instrument during the Jupiter encounter mission phase (2007 January 1 until 2007 June 26). The Ralph (LEISA and Multispectral Visible Imaging Camera (MVIC)) Jupiter activities included calibration observations using Callisto and Jupiter as a target, scientific observations of Jovian targets, opnav test observations of Callisto, and mapping of solar input aperture.
DOI: 10.25318/36280001202200900001-eng
title: Registered education savings plan investments by family income and liquid wealth

description: Registered Education Savings Plans (RESPs) are an important vehicle to help families save for postsecondary education. However, large differences in RESP savings persist between families of different income levels, despite targeted incentives aimed at encouraging low- and middle-income families to open RESP accounts and contribute to them. This article documents the differences in RESP contributions between families with different levels of income and liquid wealth.
DOI: 10.25318/36280001202200900001-fra
title: Investissements dans un régime enregistré d’épargne-études selon le revenu familial et la richesse liquide

description: Les régimes enregistrés d’épargne-études (REEE) sont un outil important permettant aux familles d’épargner pour financer des études postsecondaires. Cependant, il persiste d’importants écarts dans les avoirs détenus en REEE entre les familles de différents niveaux de revenu, et ce, malgré les incitatifs ciblés visant à encourager les familles à revenu faible et moyen à ouvrir des comptes de REEE et à y cotiser. Cet article traite des écarts dans les cotisations à un REEE entre les familles ayant différents niveaux de revenu et de richesse liquide.
DOI: 10.5281/zenodo.6479309
title: Data for conductance-based simulations of "Cortical oscillations support sampling-based computations in spiking neural networks"

description: This repository contains the full data generated by the conductance-based simulations described in: Cortical oscillations support sampling-based computations in spiking neural networks. The code is accessible via this repository.
DOI: 10.5281/zenodo.6479310
title: Data for conductance-based simulations of "Cortical oscillations support sampling-based computations in spiking neural networks"

description: This repository contains the full data generated by the conductance-based simulations described in: Cortical oscillations support sampling-based computations in spiking neural networks. The code is accessible via this repository.
DOI: 10.6084/m9.figshare.21217601.v1
title: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities

description: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities
DOI: 10.6084/m9.figshare.21217601
title: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities

description: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities
DOI: 10.6084/m9.figshare.21217601.v3
title: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities

description: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities
DOI: 10.6084/m9.figshare.21217601.v2
title: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities

description: Combining multi-omics data for identifying therapeutic targets in diabetic kidney disease and other diabetes co-morbidities