cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/jtrt-q434
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.21227/wz4m-8r15
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.21227/8b9q-2590
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.21227/jqpm-e179
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.21227/6jqd-6795
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.21227/kz1x-8838
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.21227/32wm-xf82
title: Manipulation Volume inside the Knee Joint Capsule

description: This dataset contains segmented data of nine human knees. For each of the knees, the surfaces (vertices and faces) of the following structures are provided: femur, tibia, fibula, patella, and the contrast solution that was injected into the knee joint representing the volume that is available for the manipulation of surgical instruments.This dataset belongs to a manuscript to be published soon.
DOI: 10.5281/zenodo.4294490
title: FIA Benchmark Biomass Estimates for sub-regions of the United States

description: This attached GIS (available in both geodatabase and kml formats) contains all of the hexagon-level estimates described by Menlove and Healey's Technical Note: "A comprehensive forest biomass dataset for the US allows customized validation of remotely sensed biomass estimates." Version 1.2: 28 November, 2020
DOI: 10.5281/zenodo.4074187
title: FIA Benchmark Biomass Estimates for sub-regions of the United States

description: This attached GIS (available in both geodatabase and kml formats) contains all of the hexagon-level estimates described by Menlove and Healey's Technical Note: "A comprehensive forest biomass dataset for the US allows customized validation of remotely sensed biomass estimates." Version 1.2: 28 November, 2020
DOI: 10.21227/5v4g-bp24
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators . There are many research papers, some papers are contradictory with other, so this study comes in handy to decide.
DOI: 10.21227/bntk-fw80
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators . There are many research papers, some papers are contradictory with other, so this study comes in handy to decide.
DOI: 10.21227/99n7-xg68
title: 100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 1.88 kW with max rpm of 3 000 rpm .In this dataset, the same controller is used but the BLDC motor is a high speed motor with max rpm of 40 000 rpm and maximum power of 102 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/rnrf-cn37
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator. There are many research papers, some papers are contradictory with other, so this study comes in handy to decide.
DOI: 10.21227/gm4c-ww87
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator. There are many research papers, some papers are contradictory with one other, so this study comes in handy to decide.
DOI: 10.14458/rsu.res.2012.88
title: การศึกษาทบทวนองค์ความรู้เพื่อสนับสนุนการพัฒนาระบบงานตำรวจ
DOI: 10.21227/bcwt-2t82
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC) and observer. The implementation method is the known method of vector control, so any textbook can be referred, with the addition of SMO or flux observer which acts as the "Adaptive Controller" in the estimation of speed. The switching pattern of the 3-phase inverter is implemented using space vector modulation.DIfferences in this paper dataset can be seen as the author has includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These BLDC motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator. There are many research papers, some papers are contradictory with one another, so this study comes in handy to decide.
DOI: 10.15161/oar.it/73291
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13297775
title: ms_addressee_detection.csv

description: Manual DA Annotations for two meetings in the MULTISIMO dataset
DOI: 10.6084/m9.figshare.13297775.v1
title: ms_addressee_detection.csv

description: Manual DA Annotations for two meetings in the MULTISIMO dataset
DOI: 10.5281/zenodo.4053167
title: Data analysis of an LC-MS dataset from a human urine biofluid cohort study

description: Supplementary dataset and tutorials for the "<strong>Statistical analysis in metabolic phenotyping"</strong> This repository contains Jupyter Notebooks with two examplar metabolomic data analysis workflows, applied to a liquid chromatography mass spectrometry dataset (LC-MS). The LC-MS dataset used comes from a metabolic phenotyping investigation of human urine biofluid samples from a dementia cohort. In this sample set, baseline spot urine samples (first sample collected after recruitment to the study) were collected as part of the AddNeuroMed<sup>1</sup> and ART/DCR study consortia, with the aim of identifying biomarkers of neurocognitive decline and Alzheimer’s disease. These samples were analysed by LC-MS and <sup>1</sup>H NMR, using the methods described by Lewis <em>et al</em><sup>2</sup> and Dona <em>et al</em>. Detailed information about this cohort and other available phenotypic measurements can be found in Lovestone and the ANMERGE<sup>3</sup> repository, which can be accessed via the Sage BioNetworks portal (https://doi.org/10.7303/syn22252881). Information about the metabolic profiling experiments can be found in the study's MetaboLights entry: https://www.ebi.ac.uk/metabolights/MTBLS719. 1. Lovestone, S. <em>et al.</em> AddNeuroMed - The european collaboration for the discovery of novel biomarkers for alzheimer’s disease. in <em>Annals of the New York Academy of Sciences</em> (2009). doi:10.1111/j.1749-6632.2009.05064.x 2. Lewis, M. R. <em>et al.</em> Development and Application of UPLC-ToF MS for Precision Large Scale Urinary Metabolic Phenotyping. <em>Anal. Chem.</em> <strong>88</strong>, acs.analchem.6b01481 (2016). 3. Birkenbihl, C. <em>et al.</em> ANMerge: A comprehensive and accessible Alzheimer’s disease patient-level dataset. <em>medRxiv</em> (2020). doi:10.1101/2020.08.04.20168229
DOI: 10.21227/c328-ed67
title: p

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/epy3-t849
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this paper and dataset, Dc power system
DOI: 10.6084/m9.figshare.13297787
title: Bat phylogeny adopted in Nojiri et al

description: Tree_hard_tissue.nex contains tree data used for interspecific comparisons of hard tissue development. Tree_soft_tissue.nex contains tree data used for interspecific comparisons of soft tissue development.
DOI: 10.6084/m9.figshare.13297787.v1
title: Bat phylogeny adopted in Nojiri et al

description: Tree_hard_tissue.nex contains tree data used for interspecific comparisons of hard tissue development. Tree_soft_tissue.nex contains tree data used for interspecific comparisons of soft tissue development.
DOI: 10.5281/zenodo.4294618
title: Dataset: Effects of high altitude reservoirs on the structure and function of lotic ecosystems: a case study in Italy

description: Supporting data for "Effects of high altitude reservoirs on the structure and function of lotic ecosystems: a case study in Italy" Macroinvertebrate community composition Water chemical characteristics Daily mean water temperature and daily temperature variations Results of the leaf bags experiments
DOI: 10.5281/zenodo.4294617
title: Dataset: Effects of high altitude reservoirs on the structure and function of lotic ecosystems: a case study in Italy

description: Supporting data for "Effects of high altitude reservoirs on the structure and function of lotic ecosystems: a case study in Italy" Macroinvertebrate community composition Water chemical characteristics Daily mean water temperature and daily temperature variations Results of the leaf bags experiments
DOI: 10.6084/m9.figshare.13297802.v1
title: Perl语言课程.md

description: hhasdasd
DOI: 10.6084/m9.figshare.13297802
title: Perl语言课程.md

description: hhasdasd
DOI: 10.6084/m9.figshare.9273503
title: Comparative effectiveness of budesonide inhalation suspension and montelukast in children with mild asthma in Korea

description: <b>Objective:</b> The comparative effectiveness of low-dose budesonide inhalation suspension (BIS) versus oral montelukast (MON) in managing asthma control among children with mild asthma was assessed in Korea. <b>Methods:</b> Claims from Korea’s national health insurance database for children (2–17 years) with mild asthma (GINA 1 or 2) who initiated BIS or MON during 2015 were retrospectively analyzed. Pre- and post-index windows were 1 year each. Adherence, persistency, asthma control, asthma-related health-care resource utilization, and costs were evaluated using unadjusted descriptive statistics and propensity score-matched regression analyses. <b>Results:</b> The number of children identified was 26,052 for unmatched (<i>n</i> = 1,221 BIS; <i>n</i> = 24,831 MON) and 2,290 for matched populations (<i>n</i> = 1,145 per cohort). Medication adherence, measured by proportion of days covered, was low for both cohorts but significantly higher for MON versus BIS (13.8% vs. 4.5%; <i>p</i> p p p p p <b>Conclusions:</b> Montelukast patients had better adherence, a longer time to loss of persistency, and were less likely to experience an exacerbation-related office visit in the post-index period than BIS patients.
DOI: 10.6084/m9.figshare.9273503.v2
title: Comparative effectiveness of budesonide inhalation suspension and montelukast in children with mild asthma in Korea

description: <b>Objective:</b> The comparative effectiveness of low-dose budesonide inhalation suspension (BIS) versus oral montelukast (MON) in managing asthma control among children with mild asthma was assessed in Korea. <b>Methods:</b> Claims from Korea’s national health insurance database for children (2–17 years) with mild asthma (GINA 1 or 2) who initiated BIS or MON during 2015 were retrospectively analyzed. Pre- and post-index windows were 1 year each. Adherence, persistency, asthma control, asthma-related health-care resource utilization, and costs were evaluated using unadjusted descriptive statistics and propensity score-matched regression analyses. <b>Results:</b> The number of children identified was 26,052 for unmatched (<i>n</i> = 1,221 BIS; <i>n</i> = 24,831 MON) and 2,290 for matched populations (<i>n</i> = 1,145 per cohort). Medication adherence, measured by proportion of days covered, was low for both cohorts but significantly higher for MON versus BIS (13.8% vs. 4.5%; <i>p</i> p p p p p <b>Conclusions:</b> Montelukast patients had better adherence, a longer time to loss of persistency, and were less likely to experience an exacerbation-related office visit in the post-index period than BIS patients.
DOI: 10.6084/m9.figshare.9273503.v1
title: Comparative effectiveness of budesonide inhalation suspension and montelukast in children with mild asthma in Korea

description: <b>Objective:</b> The comparative effectiveness of low-dose budesonide inhalation suspension (BIS) versus oral montelukast (MON) in managing asthma control among children with mild asthma was assessed in Korea. <b>Methods:</b> Claims from Korea’s national health insurance database for children (2–17 years) with mild asthma (GINA 1 or 2) who initiated BIS or MON during 2015 were retrospectively analyzed. Pre- and post-index windows were 1 year each. Adherence, persistency, asthma control, asthma-related health-care resource utilization, and costs were evaluated using unadjusted descriptive statistics and propensity score-matched regression analyses. <b>Results:</b> The number of children identified was 26,052 for unmatched (<i>n</i> = 1,221 BIS; <i>n</i> = 24,831 MON) and 2,290 for matched populations (<i>n</i> = 1,145 per cohort). Medication adherence, measured by proportion of days covered, was low for both cohorts but significantly higher for MON versus BIS (13.8% vs. 4.5%; <i>p</i> p p p p p <b>Conclusions:</b> Montelukast patients had better adherence, a longer time to loss of persistency, and were less likely to experience an exacerbation-related office visit in the post-index period than BIS patients.
DOI: 10.26300/r4sv-a551
title: Controlling Nanochannel Orientation and Dimensions in Graphene-Based Nanofluidic Membranes
DOI: 10.6084/m9.figshare.13297718.v1
title: Supplemental materials for the paper entitled: “Incidence of unique complications in 25 adult patients with X-linked hypophosphatemia”

description: This is the dataset of clinical data of 25 adults with X-linked hypophosphatemia, which was the supplementary material for the paper entitled: "Incidence of unique complications in 25 adults patients with X-linked hypophosphatemia".
DOI: 10.6084/m9.figshare.11365841
title: Supplementary-Table1

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.11365841.v1
title: Supplementary-Table1

description: Supplementary Table 1
DOI: 10.6084/m9.figshare.13297805
title: S1 Data_study.xlsx

description: Data related to national health care expenditures by type of care (inpatient and outpatient) among the oral cancer patients, in the period of 2008 - 2016, extracted fom Brazilian health information systems - Inpatient Information System (SIH-SUS) and the Outpatient Information System (SIA-SUS).
DOI: 10.6084/m9.figshare.13297805.v2
title: S1 Data_study.xlsx

description: Data related to national health care expenditures by type of care (inpatient and outpatient) among the oral cancer patients, in the period of 2008 - 2016, extracted fom Brazilian health information systems - Inpatient Information System (SIH-SUS) and the Outpatient Information System (SIA-SUS).
DOI: 10.6084/m9.figshare.13297805.v1
title: S1 Data_study.xlsx

description: Data related to national health care expenditures by type of care (inpatient and outpatient) among the oral cancer patients, in the period of 2008 - 2016, extracted fom Brazilian health information systems - Inpatient Information System (SIH-SUS) and the Outpatient Information System (SIA-SUS).
DOI: 10.5517/ccdc.csd.cc22b5j4
title: CCDC 1916405: Experimental Crystal Structure Determination

description: Related Article: Mario Leypold, Kyan A. D’Angelo, Mohammad Movassaghi|2020|Org.Lett.|22|8802|doi:10.1021/acs.orglett.0c03160