cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/w2jm-cb75
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, with the addition of SMO or flux observer 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/10.21227/8rz1-p666,
DOI: 10.26180/13300109
title: Data from Does the invasive plague skink (Lampropholis delicata) compete with native skink species in New Zealand?

description: Data from Does the invasive plague skink (Lampropholis delicata) compete with native skink species in New Zealand? Harris et al. Austral Ecology.
DOI: 10.26180/13300109.v1
title: Data from Does the invasive plague skink (Lampropholis delicata) compete with native skink species in New Zealand?

description: Data from Does the invasive plague skink (Lampropholis delicata) compete with native skink species in New Zealand? Harris et al. Austral Ecology.
DOI: 10.6084/m9.figshare.13300129.v1
title: Additional file 1 of Tele-ECG consulting and outcomes on primary care patients in a low-to-middle income population: the first experience from Makassar telemedicine program, Indonesia

description: Additional file 1.
DOI: 10.6084/m9.figshare.13300183.v1
title: Additional file 4 of Genome plasticity in Paramecium bursaria revealed by population genomics

description: Additional file 4: Table S6. Read counts of Illumina and Pacbio reads with telomeric sequences at their ends.
DOI: 10.6084/m9.figshare.13300180.v1
title: Additional file 3 of Genome plasticity in Paramecium bursaria revealed by population genomics

description: Additional file 3: Table S4. Splicing-related genes identified in the budding yeast Saccharomyces cerevisiae.
DOI: 10.6084/m9.figshare.13300183
title: Additional file 4 of Genome plasticity in Paramecium bursaria revealed by population genomics

description: Additional file 4: Table S6. Read counts of Illumina and Pacbio reads with telomeric sequences at their ends.
DOI: 10.6084/m9.figshare.13300180
title: Additional file 3 of Genome plasticity in Paramecium bursaria revealed by population genomics

description: Additional file 3: Table S4. Splicing-related genes identified in the budding yeast Saccharomyces cerevisiae.
DOI: 10.6084/m9.figshare.13300189.v1
title: Additional file 2 of Machine learning approaches classify clinical malaria outcomes based on haematological parameters

description: Additional file 2: Table S2. Clinical and raw haematological data of study participants. Table S3. The median splits predictive values on the clinical diagnostic categories (nMI, UM, and SM) of the study participants.
DOI: 10.6084/m9.figshare.13300190.v1
title: Additional file 2 of First evidence of convergent lifestyle signal in reptile skull roof microanatomy

description: Additional file 2. A spreadsheet with all per slice measurements and cross-section positions.
DOI: 10.6084/m9.figshare.13300190
title: Additional file 2 of First evidence of convergent lifestyle signal in reptile skull roof microanatomy

description: Additional file 2. A spreadsheet with all per slice measurements and cross-section positions.
DOI: 10.5517/ccdc.csd.cc266mqs
title: CCDC 2032165: Experimental Crystal Structure Determination

description: Related Article: Bangkui Yu, Houjian Yu, Hanmin Huang|2020|Org.Lett.|22|8962|doi:10.1021/acs.orglett.0c03365
DOI: 10.5517/ccdc.csd.cc268h66
title: CCDC 2033947: Experimental Crystal Structure Determination

description: Related Article: Shao-Jie Wang, Zhe Wang, Yue Tang, Jie Chen, Ling Zhou|2020|Org.Lett.|22|8894|doi:10.1021/acs.orglett.0c03285
DOI: 10.5517/ccdc.csd.cc268ksv
title: CCDC 2034027: Experimental Crystal Structure Determination

description: Related Article: Shao-Jie Wang, Zhe Wang, Yue Tang, Jie Chen, Ling Zhou|2020|Org.Lett.|22|8894|doi:10.1021/acs.orglett.0c03285
DOI: 10.5517/ccdc.csd.cc268slw
title: CCDC 2034238: Experimental Crystal Structure Determination

description: Related Article: Shao-Jie Wang, Zhe Wang, Yue Tang, Jie Chen, Ling Zhou|2020|Org.Lett.|22|8894|doi:10.1021/acs.orglett.0c03285
DOI: 10.6084/m9.figshare.13300189
title: Additional file 2 of Machine learning approaches classify clinical malaria outcomes based on haematological parameters

description: Additional file 2: Table S2. Clinical and raw haematological data of study participants. Table S3. The median splits predictive values on the clinical diagnostic categories (nMI, UM, and SM) of the study participants.
DOI: 10.26182/2jar-e332
title: Epigenome wide association study of thyroid function traits identifies novel associations of fT3 with KLF9 and DOT1L - Supplement
DOI: 10.5281/zenodo.4289784
title: The Dataset of Camellia Cultivar Names in the World

description: The Camellia Cultivar Names were widely collected from books and journals and new registrations throughout the world every year, then reviewed by experts in the online working platform, the Database of International Camellia Register. After treating some important issues existed in camellia names, especially those plenty of re-used names and diacritical marks <em>etc.</em> especially in Japanese cultivars, a dataset of <em>Camellia</em> names was summarized from the year of 1253 to 2019 throughout the world. The data was contained in an excel table file (.xlsx format) including two sheets, entitled ’Cultivars’ and ’Synonyms’. The ’Cultivars’ sheet mainly recorded the name and description of each cultivar, while their corresponding Synonyms could be gained from the ’Synonyms’ sheet. Fields and its descriptions are given below: <strong>Data fields in Sheet ‘Cultivars’</strong>: CultivarId: A unique number for each cultivar.<br> CultivarEpithet: The Cultivar Epithet for each cultivar.<br> ScientificName: The Scientific Name for each cultivar.<br> ChineseName: The Chinese Name for each cultivar.<br> JapaneseName: The Japanese Name for each cultivar.<br> Hiragana: The phonetic sounds in Japanese for each cultivar.<br> SpeciesOrCombination: Cultivar’s origin or cross parentage.<br> Meaning: The explanation of name.<br> CultivarType: The type of economic value, For Ornamental, For Tea, Or For Oil.<br> DescriptionEn: The English Description for each cultivar.<br> DescriptionCn: The Chinese Description for each cultivar.<br> DescriptionJp: The Japanese Description for each cultivar.<br> YearPublished: The year of first publication.<br> Country: The country name to release the cultivar.<br> DefaultPhoto: The Type Image.<br> DefaultPhotoChosenBy: A specialist name who determine Type image.<br> DefaultPhotoChosenDate: A date when to choose type image by a specialist.<br> IsExtinct: Whether it was extinct or not. <strong>Data fields in Sheet ‘Synonyms’</strong>:<br> SynonymId: A unique number for each cultivar Synonym.<br> Synonym: The Synonym for each cultivar used.<br> Reference: The Reference recorded the synonym.<br> CultivarEpithet: The corresponding Cultivar Epithet for the synonym.
DOI: 10.21227/zw3e-da82
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, with the addition of SMO or flux observer 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/10.21227/8rz1-p666,
DOI: 10.21227/81py-rq97
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 271,853 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21227/j03v-tq25
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, with the addition of SMO or flux observer 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/10.21227/8rz1-p666,
DOI: 10.25919/5ef2-b567
title: Climatology of in situ gridded temperature, salinity and velocity along Western Australia coastline

description: The dataset was collected from 12 coastal mooring arrays off the southwest coast of Western Australia (WA) during 2009-2020, at depths ranging from 47m to 500m, as part of the IMOS program. It includes temperature data from SBE37?s SBE39?s, salinity data from Water Quality Monitors (WQM), and ocean current data from Acoustic Doppler Current Profiles (ADCP) and Nortex ADCP. Here, first version of daily gridded in-situ subsurface temperature, salinity and ocean current, and their climatology are presented. Monthly temperature is also included. This unique dataset offers an invaluable baseline perspective on physical water column properties and temporal variability in WA coastal waters. The data can be used to characterise subsurface features of extreme events such as marine heat waves, marine cold-spells, and to detect long-term change signals along WA coast, influenced by the Leeuwin Current and the wind-driven Capes Current. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available. The data is collected by suite of moorings. It has a mix of Seabird Electronics SBE?37 temperature sensors, Seabird Electronics SBE39?s, Wetlabs Water Quality Meter (WQM), Teledyne RDI Workhorse Sentinel 600kHz and Nortek Continental ADCP instruments. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available.
DOI: 10.25919/2apg-ch39
title: Climatology of in situ gridded temperature, salinity and velocity along Western Australia coastline

description: The dataset was collected from 12 coastal mooring arrays off the southwest coast of Western Australia (WA) during 2009-2020, at depths ranging from 47m to 500m, as part of the IMOS program. It includes temperature data from SBE37?s SBE39?s, salinity data from Water Quality Monitors (WQM), and ocean current data from Acoustic Doppler Current Profiles (ADCP) and Nortex ADCP. Here, first version of daily gridded in-situ subsurface temperature, salinity and ocean current, and their climatology are presented. Monthly temperature is also included. This unique dataset offers an invaluable baseline perspective on physical water column properties and temporal variability in WA coastal waters. The data can be used to characterise subsurface features of extreme events such as marine heat waves, marine cold-spells, and to detect long-term change signals along WA coast, influenced by the Leeuwin Current and the wind-driven Capes Current. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available. The data is collected by suite of moorings. It has a mix of Seabird Electronics SBE?37 temperature sensors, Seabird Electronics SBE39?s, Wetlabs Water Quality Meter (WQM), Teledyne RDI Workhorse Sentinel 600kHz and Nortek Continental ADCP instruments. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available.
DOI: 10.21227/5e5z-vd59
title: EEG dataset of 7-day Motor Imagery BCI

description: In this dataset, we performed a seven-day motor imagery (MI) based BCI experiment without feedback training on 20 healthy subjects. The MI tasks include left hand, right hand, feet and idle task.
DOI: 10.34740/kaggle/dsv/1698863
title: COVID-19 cases by Continent
DOI: 10.25403/upresearchdata.13280531
title: The materiality of the integrated reporting disclosure

description: The file shares the materiality scoring of the top 20 JSE listed companies as at June 2020 for their integrated report, covering the periods of 2017 - 2019.
DOI: 10.25403/upresearchdata.13280531.v1
title: The materiality of the integrated reporting disclosure

description: The file shares the materiality scoring of the top 20 JSE listed companies as at June 2020 for their integrated report, covering the periods of 2017 - 2019.
DOI: 10.6084/m9.figshare.13301264
title: TLA_Research_Journal_Contents

description: รายละเอียดข้อมูลบทความที่เผยแพร่ในวารสารวิจัย สมาคมห้องสมุดแห่งประเทศไทยฯ ตั้งแต่ พ.ศ. 2551-2562TLA Research Journal, Journal of the Thai Library Association<br>
DOI: 10.6084/m9.figshare.13301264.v1
title: TLA_Research_Journal_Contents

description: รายละเอียดข้อมูลบทความที่เผยแพร่ในวารสารวิจัย สมาคมห้องสมุดแห่งประเทศไทยฯ ตั้งแต่ พ.ศ. 2551-2562TLA Research Journal, Journal of the Thai Library Association<br>
DOI: 10.6084/m9.figshare.13301324
title: 210Pb data.xlsx

description: Depth profiles of the activity of <sup>210</sup>Pb<sub>ex</sub> in cores FX-1 and FX-2 exhibit an approximately exponential decrease with depth when plotted against the cumulative mass.
DOI: 10.6084/m9.figshare.13301324.v2
title: 210Pb data.xlsx

description: Depth profiles of the activity of <sup>210</sup>Pb<sub>ex</sub> in cores FX-1 and FX-2 exhibit an approximately exponential decrease with depth when plotted against the cumulative mass.
DOI: 10.6084/m9.figshare.13301324.v1
title: 210Pb data.xlsx

description: Depth profiles of the activity of <sup>210</sup>Pb<sub>ex</sub> in cores FX-1 and FX-2 exhibit an approximately exponential decrease with depth when plotted against the cumulative mass.
DOI: 10.21227/sf1n-7c93
title: the Sintel 4D Light Field Videos dataset

description: The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a ``clean'' pass after modifying the production file of ``Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}. A ``clean'' pass includes complex illumination and reflectance properties including specular reflections, such as smooth shading and specular reflections, while bokeh, motion blur, and semi-transparent objects are excluded.
DOI: 10.6084/m9.figshare.13301312
title: Macrophage M1/M2 ratio as a predictor of pleural thickening in patients with tuberculous pleurisy

description: The data is used for statistical analysis of "Macrophage M1/M2 ratio as a predictor of pleural thickening in patients with tuberculous pleurisy" article.
DOI: 10.6084/m9.figshare.13301312.v1
title: Macrophage M1/M2 ratio as a predictor of pleural thickening in patients with tuberculous pleurisy

description: The data is used for statistical analysis of "Macrophage M1/M2 ratio as a predictor of pleural thickening in patients with tuberculous pleurisy" article.
DOI: 10.25403/upresearchdata.13292150
title: The role of social capital in entrepreneurial effectuation

description: Interview transcripts, recordals, and atla ti bundle for qualitative study on 'The role of social capital in entrepreneurial effectuation'.<br>The ethical clearence approval and interviewee consent forms have also been attached.
DOI: 10.25403/upresearchdata.13292150.v1
title: The role of social capital in entrepreneurial effectuation

description: Interview transcripts, recordals, and atla ti bundle for qualitative study on 'The role of social capital in entrepreneurial effectuation'.<br>The ethical clearence approval and interviewee consent forms have also been attached.
DOI: 10.5281/zenodo.4297218
title: Beech high-forest circular plots at Catenaia, Arezzo

description: Collection of las files derived from TLS scans acquired in 47 forest compartments of Catenaia forest. Las files were managed (i.e. imported and normalized) using the R package "TreeLS" and then clipped within a circular radius of 15 meters.
DOI: 10.5281/zenodo.4291760
title: Beech high-forest circular plots at Catenaia, Arezzo

description: Collection of las files derived from TLS scans acquired in 47 forest compartments of Catenaia forest. Las files were managed (i.e. imported and normalized) using the R package "TreeLS" and then clipped within a circular radius of 15 meters.