cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/pkv2ys
title: Frenopyxis stierlitzi gen. nov., sp. nov. - new testate amoeba (Amoebozoa Arcellinida) from the urban parks with notes on the systematics of the family Centropyxidae Jung, 1942

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bobrov, Anatoly, Mazei, Yuri (2020): Frenopyxis stierlitzi gen. nov., sp. nov. - new testate amoeba (Amoebozoa Arcellinida) from the urban parks with notes on the systematics of the family Centropyxidae Jung, 1942. Zootaxa 4885 (3): 384-394, DOI: https://doi.org/10.11646/zootaxa.4885.3.4
DOI: 10.6084/m9.figshare.12765482.v2
title: Fos analysis box sizes

description: Box sizes determined to evaluate distant Fos increases following optogenetic stimulation. Box sizes were determined per target areas, based on the box size height / width that would contain ~10 Fos+ cells in naiive unoperated brain tissue.<br>
DOI: 10.6084/m9.figshare.12765482
title: Fos analysis box sizes

description: Box sizes determined to evaluate distant Fos increases following optogenetic stimulation. Box sizes were determined per target areas, based on the box size height / width that would contain ~10 Fos+ cells in naiive unoperated brain tissue.<br>
DOI: 10.21227/agey-nc19
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observerPWM switching frequency is varied 44 times from 20 kHz to 2 MHzOpen LoopTransfer Function CompensationRoot Loci,Closed loopField WeakeningAll 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.13299491
title: Tempol Treatment

description: Supplementary Table 1. Concentration of exosomal lipids that significantly changed after Tempol treatment.<br>
DOI: 10.6084/m9.figshare.13299491.v1
title: Tempol Treatment

description: Supplementary Table 1. Concentration of exosomal lipids that significantly changed after Tempol treatment.<br>
DOI: 10.21227/k9qz-ev83
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 includedperformance 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/IGBTs(as of ST Microelectronics) etc. switching frequency.Open LooTransfer Function CompensationRoot Loci,Closed loopField WeakeningAll 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: 10.21227/06xv-zz30
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 includedperformance 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.Open LooTransfer Function CompensationRoot Loci,Closed loopField WeakeningAll 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/tzyv-1144
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 includedperformance 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.Open LooTransfer Function CompensationRoot Loci,Closed loopField WeakeningAll 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.4296975
title: Data set - Lagrangian observations and modelling of turbulence along a tidally influenced river - Refined model

description: The 'Dataset_Kaipara_Lagrangian_refined.mat' file contains Lagrangian observations collected in the Kaipara river and corresponding model predictions, after refinement of the model. The 'Kaipara_model_refined.mat' files contains the grid and bathymetry of a model of the Kaipara River, New Zealand, created notably in order to study turbulence in a Lagrangian frame of reference.
DOI: 10.5281/zenodo.4296974
title: Data set - Lagrangian observations and modelling of turbulence along a tidally influenced river - Refined model

description: The 'Dataset_Kaipara_Lagrangian_refined.mat' file contains Lagrangian observations collected in the Kaipara river and corresponding model predictions, after refinement of the model. The 'Kaipara_model_refined.mat' files contains the grid and bathymetry of a model of the Kaipara River, New Zealand, created notably in order to study turbulence in a Lagrangian frame of reference.
DOI: 10.21227/xn0h-sj21
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 includedperformance 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.Open LooTransfer Function CompensationRoot Loci,Closed loopField WeakeningAll 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: 10.15468/s5kquh
title: Notes on Malagasy Discheramocephalus Johnson (Coleoptera: Ptiliidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jałoszyński, Paweł (2020): Notes on Malagasy Discheramocephalus Johnson (Coleoptera: Ptiliidae). Zootaxa 4885 (4): 591-595, DOI: https://doi.org/10.11646/zootaxa.4885.4.8
DOI: 10.6084/m9.figshare.13299620
title: Codebook Creativity and Dyslexia

description: Codebook
DOI: 10.21227/gv5j-n284
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 includedperformance 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)Open LooTransfer Function CompensationRoot Loci,Closed 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/cmhn-ae10
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 includedperformance 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 LooTransfer 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/xb59-1t70
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 includedperformance 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 LooTransfer 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: 10.26180/5ef01e7a6359b
title: GBSCAK.vcf.gz

description: Genotype-by-Sequencing (GBS) Cakile edentula, Cakile maritima and hybrids.
DOI: 10.6084/m9.figshare.13299677.v1
title: Supporting data: Chibunga

description: Dataset includes raw data for Determination of field capacity in the Chibunga and Guano rivers micro-basins
DOI: 10.6084/m9.figshare.13299677
title: Supporting data: Chibunga

description: Dataset includes raw data for Determination of field capacity in the Chibunga and Guano rivers micro-basins
DOI: 10.6084/m9.figshare.13299686
title: Supporting data: Guano (Recuperado).xlsx

description: Dataset includes raw data for Determination of field capacity in the Chibunga and Guano rivers micro-basins
DOI: 10.6084/m9.figshare.13299686.v1
title: Supporting data: Guano (Recuperado).xlsx

description: Dataset includes raw data for Determination of field capacity in the Chibunga and Guano rivers micro-basins
DOI: 10.17632/cfrb3hxg36.1
title: Data and Figures (excluding maps) for Population Downscaling in Multi-Agent Urban Traffic Simulations: A Comprehensive Review a Population

description: Data and Figures (excluding maps) associated with the article: Population Downscaling in Multi-Agent Urban Traffic Simulations: A Comprehensive Review and Case Study
DOI: 10.5281/zenodo.4297009
title: Carbonyl Sulfide (OCS/COS) and Carbon Disulfide (CS2): global modelled marine surface concentrations and emissions, 2000-2019

description: This dataset contains a global ocean emission inventory of the sulfur-containing trace gases carbonyl sulfide (OCS/COS) and carbon disulfide (CS2). It covers the period 2000-2019, and includes a monthly average and an average diel cycle for each month for sea surface concentrations and emissions to the atmosphere. The spatial resolution is 2.8° x 2.8° at the equator (T42 grid), the depth extends from the surface to the mixed layer depth. Carbonyl sulfide (OCS) is the most abundant, long-lived sulphur gas in the atmosphere and a major supplier of sulfur to the stratospheric sulfate aerosol layer. The short-lived gas carbon disulfide (CS<sub>2</sub>) is oxidized to OCS and constitutes a major indirect source to the atmospheric budget of OCS. We encourage the use of the data provided here as input for atmospheric modelling studies to further assess the atmospheric OCS budget and the role of OCS in climate.
DOI: 10.5281/zenodo.4297012
title: SI for QUESTDB: a database of highly-accurate excitation energies for the electronic structure community

description: Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical analyses for various molecular and excitation subsets.
description: European Research Council (ERC), European Union's Horizon 2020 research and innovation programme, Grant agreement No. 863481
DOI: 10.5281/zenodo.4297011
title: SI for QUESTDB: a database of highly-accurate excitation energies for the electronic structure community

description: Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical analyses for various molecular and excitation subsets.
description: European Research Council (ERC), European Union's Horizon 2020 research and innovation programme, Grant agreement No. 863481
DOI: 10.6084/m9.figshare.3761562.v1694
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.13292774
title: Australian Microbiome (AMI) MAGs

description: AMI MAGs
DOI: 10.6084/m9.figshare.13027634
title: Metagenome reads mapping K02588

description: Metagenome reads that was mapped <i>nifH</i> (K02588). From a field deployment of <i>in situ</i> chemotaxis assay. <br>
DOI: 10.6084/m9.figshare.13027634.v1
title: Metagenome reads mapping K02588

description: Metagenome reads that was mapped <i>nifH</i> (K02588). From a field deployment of <i>in situ</i> chemotaxis assay. <br>
DOI: 10.6084/m9.figshare.13285757
title: Raw IRMS data, rate and MQR calculations

description: Raw IRMS data, rate and MQR calculations
DOI: 10.21227/zph4-hw91
title: 200W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 , BLDC motor is 8-pole, 1.88 kW with max rpm of 3 000 rpm .In this dataset, the same controller is used but the BLDC motor is a high speed motor with max rpm of 14 400 rpm and maximum power of 211 W.PFC is not included in this simulation as it is assumed that PF = 1.