cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/s10t-w023
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.6084/m9.figshare.13299695
title: Kraken2 human only for GeneLab read-filtering

description: Built as described here: https://hackmd.io/@astrobiomike/GL-kraken2-human-db-setup
DOI: 10.6084/m9.figshare.13299695.v1
title: Kraken2 human only for GeneLab read-filtering

description: Built as described here: https://hackmd.io/@astrobiomike/GL-kraken2-human-db-setup
DOI: 10.21227/1nsb-cg34
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/7z5q-5302
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/ygcm-y629
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/n3q4-cb64
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.5281/zenodo.4296514
title: Complementary material of the WorkStream 1 of project 4SECURail

description: Deliverables, models, artifacts developed within WP2 of the Shift2Rail project 4SECURAil.
DOI: 10.21227/6m8a-mh10
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/13xj-9h16
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.21227/vq3p-5s60
title: 1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer with FW

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 included following , with analysis which can be drawn from seeing attached graphsperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop TuningTransfer Function CompensationClosed loopField WeakeningRoot Locus of Uncompensated System and Compensated SystemBode Plot - magnitude and phasePole Zero Map of Uncompensated System and Compensated SystemUnit-Step Response of Uncompensated System and Compensated SystemNyquist plot of Uncompensated System and Compensated SystemNichols chart of Uncompensated System and Compensated SystemImpulse Response of Uncompensated System and Compensated SystemCompensated System is after using SMO/Flux observer.All 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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.This study comes in handy to decide when designing in practice for industries and also for academia purposes. The author has used these results in designing new 2-3 different complex models(incomplete), may be uploaded later.
DOI: 10.3886/e127501
title: Great Depression and the rise of female employment: A new hypothesis

description: The life-cycle labor supply of women born at the turn of the 20th century diverged sharply from previous cohorts. Although they had similar participation rates in early adulthood, younger cohorts were significantly more likely to work at middle age. This paper documents a link between these changing patterns of female labor supply and the Great Depression. We find that the onset of the Great Depression led to an increase in young women’s employment in 1930 via an added-worker effect. Cohorts induced into the workforce in the early 1930s had significantly higher employment rates through the 1940s and 1950s of up to 3 percentage points, suggesting a permanent impact of the Great Depression on women’s lifecycle labor supply.
DOI: 10.3886/e127501v1
title: Great Depression and the rise of female employment: A new hypothesis

description: The life-cycle labor supply of women born at the turn of the 20th century diverged sharply from previous cohorts. Although they had similar participation rates in early adulthood, younger cohorts were significantly more likely to work at middle age. This paper documents a link between these changing patterns of female labor supply and the Great Depression. We find that the onset of the Great Depression led to an increase in young women’s employment in 1930 via an added-worker effect. Cohorts induced into the workforce in the early 1930s had significantly higher employment rates through the 1940s and 1950s of up to 3 percentage points, suggesting a permanent impact of the Great Depression on women’s lifecycle labor supply.
DOI: 10.3886/e112536v1-71080
title: Replication data for: Credit Spreads and Business Cycle Fluctuations

description: Using micro-level data, we construct a credit spread index with considerable predictive power for future economic activity. We decompose the credit spread into a component that captures firm-specific information on expected defaults and a residual component—the excess bond premium. Shocks to the excess bond premium that are orthogonal to the current state of the economy lead to declines in economic activity and asset prices. An increase in the excess bond premium appears to reflect a reduction in the risk-bearing capacity of the financial sector, which induces a contraction in the supply of credit and a deterioration in macroeconomic conditions.
DOI: 10.3886/e115165v2-71100
title: SISA/SISAL Dataset

description: This dataset includes the symptoms and basic demographic information for subjects who had a diagnosis of suspected arboviral illness, including dengue, chikungunya, or Zika virus infection. They were recruited in Machala, Ecuador from 2013-2017. The collection details are available in: Stewart-Ibarra AM, Ryan SJ, Kenneson A, King CA, Abbott M, Barbachano-Guerrero A, et al. The Burden of Dengue Fever and Chikungunya in Southern Coastal Ecuador: Epidemiology, Clinical Presentation, and Phylogenetics from the First Two Years of a Prospective Study. Am J Trop Med Hyg. 2018;98: 1444–1459. doi:10.4269/ajtmh.17-0762<br><br>There are two datasets available: the full set of subjects (SISA) and a subset of subjects with available laboratory data (SISAL).
description: face-to-face interview; record abstracts;
description: Adult patients with acute febrile illness recruited to participate in a research study. Initial diagnosis was dengue, chikungunya, or Zika infection. .
DOI: 10.5281/zenodo.4297035
title: DeePore Dataset

description: DeePore Dataset includes 17700 semi-realistic 3-D micro-tomography images of porous material and 1515 different features of each image extracted using pore network modeling. For more info please refer to https://github.com/ArashRabbani/DeePore
DOI: 10.5281/zenodo.3820899
title: DeePore Dataset

description: DeePore Dataset includes 17700 semi-realistic 3-D micro-tomography images of porous material and 1515 different features of each image extracted using pore network modeling. For more info please refer to https://github.com/ArashRabbani/DeePore