cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13302833
title: Supplementary Material for: Computerized Tomography-Guided Core-Needle Biopsy of Orbital Space-Occupying Lesions: A Case Series

description: <b><i>Purpose:</i></b> To describe our experience in performing biopsy of post-septal orbital masses with core needle under computerized tomography guidance (CT-CNB). <b><i>Methods:</i></b> The medical records of all patients who underwent this procedure were reviewed. The procedure was performed under local anesthesia on a day case basis under a peribulbar block. A planning non-contrast computerized tomography (CT) scan of the orbits was performed to localise the mass. A 6-cm 18-G Temno Evolution® semi-automated biopsy needle was inserted through the skin into the orbit. Prior to further advancement of the needle, a low-dose CT limited to the previously determined plane was performed to confirm its position. The needle was then advanced, and the cutting needle was deployed to obtain the biopsy. <b><i>Results:</i></b> Five patients who underwent CT-CNB were identified. The CNB was successful in 4 patients and revealed a metastatic prostate adenocarcinoma, diffuse large B-cell lymphoma, a metastatic neuroendocrine tumour, and orbital inflammatory disease. The biopsy failed in the fifth patient when the needle failed to penetrate the tumour despite good localisation on CT. He was eventually diagnosed with fibrous meningioma of the greater wing of sphenoid on open biopsy. None of the patients had any complications other than peri-ocular bruising which was present in all of them. <b><i>Conclusion:</i></b> CT-CNB of mass lesions located in the lateral aspect of the orbit can be an alternative to open biopsy in selected cases. It avoids major surgery and allows the use of radiotherapy, if required, without any delay.
DOI: 10.6084/m9.figshare.13302833.v1
title: Supplementary Material for: Computerized Tomography-Guided Core-Needle Biopsy of Orbital Space-Occupying Lesions: A Case Series

description: <b><i>Purpose:</i></b> To describe our experience in performing biopsy of post-septal orbital masses with core needle under computerized tomography guidance (CT-CNB). <b><i>Methods:</i></b> The medical records of all patients who underwent this procedure were reviewed. The procedure was performed under local anesthesia on a day case basis under a peribulbar block. A planning non-contrast computerized tomography (CT) scan of the orbits was performed to localise the mass. A 6-cm 18-G Temno Evolution® semi-automated biopsy needle was inserted through the skin into the orbit. Prior to further advancement of the needle, a low-dose CT limited to the previously determined plane was performed to confirm its position. The needle was then advanced, and the cutting needle was deployed to obtain the biopsy. <b><i>Results:</i></b> Five patients who underwent CT-CNB were identified. The CNB was successful in 4 patients and revealed a metastatic prostate adenocarcinoma, diffuse large B-cell lymphoma, a metastatic neuroendocrine tumour, and orbital inflammatory disease. The biopsy failed in the fifth patient when the needle failed to penetrate the tumour despite good localisation on CT. He was eventually diagnosed with fibrous meningioma of the greater wing of sphenoid on open biopsy. None of the patients had any complications other than peri-ocular bruising which was present in all of them. <b><i>Conclusion:</i></b> CT-CNB of mass lesions located in the lateral aspect of the orbit can be an alternative to open biopsy in selected cases. It avoids major surgery and allows the use of radiotherapy, if required, without any delay.
DOI: 10.15468/autdmj
title: Two new nematode species of the genus Paratrilobus Micoletzky, 1922 (Nematoda, Triplonchida) from the water area of Lake Baikal (Russia)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Naumova, Tatyana V., Gagarin, Vladimir G. (2020): Two new nematode species of the genus Paratrilobus Micoletzky, 1922 (Nematoda, Triplonchida) from the water area of Lake Baikal (Russia). European Journal of Taxonomy 723: 159-172, DOI: https://doi.org/10.5852/ejt.2020.723.1151
DOI: 10.21227/c1xz-f785
title: 200W BLDC Sensorless FOC with Adaptive Sliding Mode Observer

description: z
DOI: 10.21227/5sye-v027
title: 200W BLDC Sensorless FOC with Adaptive Sliding Mode 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 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These 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/mss5-sr67
title: 1.88kW BLDC Sensorless FOC with Flux Observer

description: s
DOI: 10.21227/zevb-q798
title: 1.88kW BLDC Sensorless FOC with Adaptive Sliding Mode 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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These 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.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.21227/zscb-1544
title: 1.88kW BLDC Sensorless FOC with Adaptive Sliding Mode 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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These 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.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.5281/zenodo.4298573
title: Data for "H2O windows and CO2 radiator fins: a clear-sky explanation for the peak in ECS"

description: Data associated with the manuscript "H2O windows and CO2 radiator fins: a clear-sky explanation for the peak in ECS", submitted for publication to Geophysical Research Letters.
DOI: 10.5281/zenodo.3924662
title: Data for "H2O windows and CO2 radiator fins: a clear-sky explanation for the peak in ECS"

description: Data associated with the manuscript "H2O windows and CO2 radiator fins: a clear-sky explanation for the peak in ECS", submitted for publication to Geophysical Research Letters.
DOI: 10.21227/58qy-v176
title: 200W BLDC Sensorless FOC with Flux Observer

description: x
DOI: 10.21227/dcjy-ay66
title: 200W BLDC Sensorless FOC with Adaptive Sliding Mode 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 8-pole, Star winding with rated rpm of 3 000 rpm at rated power of 1.88 kW.In this dataset, the same methodology is used but the BLDC motor is 8-pole ,Star winding with rated rpm of 14 400 rpm at rated power of 211 W.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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These 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.13302863
title: Supplementary_tables_1-5.xlsx

description: Contains supplementary tables 1-5.<br>
DOI: 10.6084/m9.figshare.13302863.v1
title: Supplementary_tables_1-5.xlsx

description: Contains supplementary tables 1-5.<br>
DOI: 10.5281/zenodo.4295926
title: Example BOUT++ output from elm-pb

description: Output files for the elm-pb example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/elm-pb). Created with BOUT++ at commit df7c980c3bec3adee17067a3dd9190c2ff79f0db.
DOI: 10.5281/zenodo.4295925
title: Example BOUT++ output from elm-pb

description: Output files for the elm-pb example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/elm-pb). Created with BOUT++ at commit df7c980c3bec3adee17067a3dd9190c2ff79f0db.
DOI: 10.18112/openneuro.ds003396.v1.0.1
title: changepoint helicopter
DOI: 10.21227/f8hp-9y33
title: 1.88kW BLDC Sensorless FOC with Flux Observer

description: s
DOI: 10.5281/zenodo.4298582
title: Example BOUT++ output from blob2d

description: Output files for the blob2d example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/blob2d). Created with BOUT++ at commit 999793fe363e062fd47da20bcd8ff679c85a8b30.
DOI: 10.21227/zwq0-9e19
title: 1.88kW BLDC Sensorless FOC with Flux Observer

description: This dataset is on the study of Motor controllers, for which author has done numerous experiments.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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These 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.There is related dataset, where also 8-pole Y winding motor is used but of different specification - "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/v7s8-pk56
DOI: 10.18430/m36tb5
title: X-ray diffraction data for the the crystal structure of the DPS2 from DEINOCOCCUS RADIODURANS to 1.83A resolution (sequentially soaked in CaCl2 [5mM] for 20 min, then in Ammonium iron(II) sulfate [10mM] for 2h). (6TB5)
DOI: 10.6084/m9.figshare.13301348
title: DATASET: Political representation in Latin America: Members of Parliament (Argentina, Brazil, Chile and Mexico)

description: Data collection, prosopographic, of 1,390 deputies from Argentina (period 2013/17 and 2015/19), Brazil (2015/2018), Chile (2014/2018) and Mexico (2015/2018). Origins and social and political trajectory. Data by category: personal (full name, date of birth), election date and legislative period, education and professional training, political affiliation and ideology, experience in national or local legislative positions, official links to data sources and auxiliary links to sources of data, and date of data collection.
DOI: 10.25386/genetics.13238948
title: Supplemental Material for Sivakumar et al., 2020

description: The following supplemental figures and tables, accompanying our manuscript, have been provided.<br><br><b>Figure S1. </b>Distribution of allelic imbalance burdens across 33 tumor sites in TCGA. <br><b>Figure S2. </b>Relationship between overall allelic imbalance genomic burden and concordance between call sets. <br><b>Figure S3. </b>Distribution of concordance statistics between SCNA call sets. <br><br><b>Table S1: </b>Landscape of allelic imbalance events across all 33 tumor types in TCGA<b>Table S2: </b>Summary of the comparison of chromosomal alterations inferred from hapLOH with those previously reported in TCGA as well as the performance of the proposed automated adjustment procedure on putative problematic cases in TCGA<b>Table S3: </b>Putative problematic cases in TCGA based on the assessments of chromosomal alterations<br><br>
DOI: 10.25386/genetics.13238948.v1
title: Supplemental Material for Sivakumar et al., 2020

description: The following supplemental figures and tables, accompanying our manuscript, have been provided.<br><br><b>Figure S1. </b>Distribution of allelic imbalance burdens across 33 tumor sites in TCGA. <br><b>Figure S2. </b>Relationship between overall allelic imbalance genomic burden and concordance between call sets. <br><b>Figure S3. </b>Distribution of concordance statistics between SCNA call sets. <br><br><b>Table S1: </b>Landscape of allelic imbalance events across all 33 tumor types in TCGA<b>Table S2: </b>Summary of the comparison of chromosomal alterations inferred from hapLOH with those previously reported in TCGA as well as the performance of the proposed automated adjustment procedure on putative problematic cases in TCGA<b>Table S3: </b>Putative problematic cases in TCGA based on the assessments of chromosomal alterations<br><br>
DOI: 10.21227/262y-5g57
title: 1.88kW BLDC Sensorless FOC with Adaptive Sliding Mode Observer

description: This dataset is on the study of Motor controllers, for which author has done numerous experiments, and the analysis along with these will also be shortly submitted to "IEEE Transactions on Power Electronics".The results contained in this dataset are graphs which give intutive idea on the control characterisitics, whether the pole/zero is on the imaginary axis or the right half plane. Still in today's practice, the switching frequency for these controllers are used to 20 kHZ instead 400khz or more, whereas MOSFETs can be switched to 2 MHz.So, 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.There are related datasets submitted to IEEE-Dataport and also to the Transaction Papers. So, the instructions and abstract is almost similar in all of these.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, with the addition of SMO or flux observer which gives the estimation of speed and the sensorless rotor position. 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 graphs -performance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 45 times from 20 kHz to 2 MHz , - will help decide MOSFETs switching frequency. (as in industries even 20kHz is used)Stability MarginsOpen Loop Control PerformanceTransfer Function CompensationClosed loop TuningRoot 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 SystemSinusoidal ExcitationCompensated 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.These brushless motors and controllers are used in many industries including medical e.g. in Positive Airway Pressure respirators,ventilator.