cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/3w0r-k981
title: Parkes observations for project P456 semester 2020APRS_16

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25919/j28m-cd51
title: Parkes observations for project P595 semester 2020APRS_24

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.13218740
title: RT-ELISA dataset

description: This dataset includes the raw data generated in the paper.
DOI: 10.6084/m9.figshare.13218740.v2
title: RT-ELISA dataset

description: This dataset includes the raw data generated in the paper.
DOI: 10.6084/m9.figshare.13218740.v1
title: RT-ELISA dataset

description: This dataset includes the raw data generated in the paper.
DOI: 10.26182/m4de-b822
title: Revealing sediment transport pathways and geomorphic change in washover fans by combining drone-derived digital elevation models and single grain luminescence data
DOI: 10.6084/m9.figshare.13299851.v1
title: Support_material-2020TC006648.pdf

description: This supporting information is for "Exhumation of deeply subducted continental crust along contrasting pathways: examples from the North Qaidam ultrahigh pressure metamorphic terrane, North Tibet" to subnit to Tectonics (2020TC006648)<br>This supporting information includes tableS1-S2 that provide detailed zircon LA-ICPMS U-Pb age, and REES data of HP/UHP rocks from the western North Qaidam.<br>
DOI: 10.6084/m9.figshare.13299851
title: Support_material-2020TC006648.pdf

description: This supporting information is for "Exhumation of deeply subducted continental crust along contrasting pathways: examples from the North Qaidam ultrahigh pressure metamorphic terrane, North Tibet" to subnit to Tectonics (2020TC006648)<br>This supporting information includes tableS1-S2 that provide detailed zircon LA-ICPMS U-Pb age, and REES data of HP/UHP rocks from the western North Qaidam.<br>
DOI: 10.25919/283m-mk52
title: Parkes observations for project PX500 semester 2020APRS_16

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.6084/m9.figshare.12966863.v4
title: The Role of Synoptic Characteristics in the Convection Initiation of a Warm-sector Heavy Rainfall Event over Coastal South China: A Numerical Modeling Study

description: Shared data for: The Role of Synoptic Characteristics in the Convection Initiation of a Warm-sector Heavy Rainfall Event over Coastal South China: A Numerical Modeling Study submitted to JGR:Atmosphere
DOI: 10.21227/f1c7-7x89
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 (11 males, mean age: 23.2±1.47 years, all right-handed). The recruited subjects were asked to participate seven sessions within two weeks. Each session lasted around 40 minutes and was organized into 6 runs. Subjects could have a short break between runs. During each run, subjects had to perform 40 trials (4 different MI-tasks, 10 trials per task, presented in random order), each trial lasting 9s. The direction of the arrow informed the subjects which task to perform, i.e., the left arrow corresponding to MI of the left hand, the right arrow corresponding to MI of the right hand, down corresponding to MI of both feet, up corresponding to the idle task.
DOI: 10.21227/qca1-4x24
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 (11 males, mean age: 23.2±1.47 years, all right-handed). The recruited subjects were asked to participate seven sessions within two weeks. Each session lasted around 40 minutes and was organized into 6 runs. Subjects could have a short break between runs. During each run, subjects had to perform 40 trials (4 different MI-tasks, 10 trials per task, presented in random order), each trial lasting 9s. The direction of the arrow informed the subjects which task to perform, i.e., the left arrow corresponding to MI of the left hand, the right arrow corresponding to MI of the right hand, down corresponding to MI of both feet, up corresponding to the idle task.
DOI: 10.21227/q643-es88
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.13299797
title: Klang Dataset

description: Trouble Tickets
DOI: 10.6084/m9.figshare.13299908
title: taman_petaling.csv

description: Taman petaling
DOI: 10.6084/m9.figshare.13299908.v1
title: taman_petaling.csv

description: Taman petaling
DOI: 10.21227/1s1w-9128
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.12609362
title: seismic data for Dahutang deposit

description: The data includes the latitude, longitude and elevation for a dense array in Dahutang deposit.The raw mseed data is too big to upload, please contact the corresponding author if anyone is interested. <br>
DOI: 10.6084/m9.figshare.12609362.v2
title: seismic data for Dahutang deposit

description: The data includes the latitude, longitude and elevation for a dense array in Dahutang deposit.The raw mseed data is too big to upload, please contact the corresponding author if anyone is interested. <br>
DOI: 10.6084/m9.figshare.12609362.v1
title: seismic data for Dahutang deposit

description: The data includes the latitude, longitude and raw mseed data for a dense array in Dahutang deposit
DOI: 10.18112/openneuro.ds003401.v1.0.1
title: TODO: ASRT
DOI: 10.14457/tu.the.2019.797
title: Long short-term memory networks for bed position classification

description: This paper describes an approach of 2 stacked layers of Long Short-Term Memory for bed position classification. The sensor panel data is collected from 2 types of sensors under the 30Hz sampling rate, i.e. piezoelectric and pressure sensors. The data is classified into 5 classes and those data are normalized with min-max scaling on a fixed range between 0 and 1. The model is experimented using window sliding technique for preprocessing dataset with changing the number of hidden nodes in 128, 80 and 50 nodes of the model. The overall accuracy is 94.74% which can be comparable with the previous work.
DOI: 10.25345/c5nz1f
title: MassIVE MSV000086534 - GNPS Douchi (fermented soybean)
title: the relationship of fermented soybean and Aspergillus or Mucor
DOI: 10.7910/dvn/wzruxn
title: Executive Agreements Database, Statement Regarding Acquisition and Cross-Servicing Agreement, with Annexes Between The United States and Austria Signed At Patch Barracks and Vienna Mar 15, 2000

description: KAV 5702 First signed 03/15/2000 Last signed 03/15/2000 Entry into force (supplemented by last signed) 03/15/2000 stamped 00-51 C06537663 cover memo
DOI: 10.25345/c5j48w
title: MassIVE MSV000086535 - GNPS Douchi (fermented soybean)
title: explore the relationship of douchi and aspergillus or mucor
DOI: 10.25345/c5df60
title: MassIVE MSV000086536 - GNPS Douchi (fermented soybean)
title: to explore the relationship of douchi and mucor or aspergillus
DOI: 10.21227/kg91-2f11
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 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 loopRoot 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: 10.21227/46p2-r126
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 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 loopRoot 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.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 "200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.21227/qb1b-5t80
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 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 loopRoot 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.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: 10.21227/1yw9-dk59
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 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 loopRoot 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.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: 10.21227/7wv5-ae58
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 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 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 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.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: 10.6084/m9.figshare.13299962
title: tiny example read set

description: one human read, one phiX read, and one E. coli read, prepared along with the db build on this page: https://hackmd.io/@astrobiomike/GL-kraken2-human-db-setup
DOI: 10.6084/m9.figshare.13299962.v1
title: tiny example read set

description: one human read, one phiX read, and one E. coli read, prepared along with the db build on this page: https://hackmd.io/@astrobiomike/GL-kraken2-human-db-setup