cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13297369.v1
title: Additional file 4 of Comparative transcriptome analysis of scaled and scaleless skins in Gymnocypris eckloni provides insights into the molecular mechanism of scale degeneration

description: Additional file 4: Table S2. Annotation of differentially expressed unigenes (DEUs) between NSS and others.
DOI: 10.6084/m9.figshare.13297356
title: Additional file 2 of Population genomics and antimicrobial resistance in Corynebacterium diphtheriae

description: Additional file 2: Table S2. Antimicrobial agents and zone diameters interpretative breakpoints used.
DOI: 10.6084/m9.figshare.13297365.v1
title: Additional file 5 of Population genomics and antimicrobial resistance in Corynebacterium diphtheriae

description: Additional file 5: Table S4. Molecular explanations for non-toxigenic tox gene-bearing (NTTB) strains.
DOI: 10.6084/m9.figshare.13297425
title: Additional file 3 of Population genetic analysis of the Plasmodium falciparum circumsporozoite protein in two distinct ecological regions in Ghana

description: Additional file 3. TH2R and TH3R amino acid haplotype frequencies.
DOI: 10.6084/m9.figshare.13297422.v1
title: Additional file 2 of Population genetic analysis of the Plasmodium falciparum circumsporozoite protein in two distinct ecological regions in Ghana

description: Additional file 2. This file is a Nexus file containing C-terminal Plasmodium falciparum circumsporozoite protein gene (Pfcsp) haplotype sequences that were included in the Templeton, Crandall, and Sing (TCS) network.
DOI: 10.6084/m9.figshare.13297425.v1
title: Additional file 3 of Population genetic analysis of the Plasmodium falciparum circumsporozoite protein in two distinct ecological regions in Ghana

description: Additional file 3. TH2R and TH3R amino acid haplotype frequencies.
DOI: 10.6084/m9.figshare.13297422
title: Additional file 2 of Population genetic analysis of the Plasmodium falciparum circumsporozoite protein in two distinct ecological regions in Ghana

description: Additional file 2. This file is a Nexus file containing C-terminal Plasmodium falciparum circumsporozoite protein gene (Pfcsp) haplotype sequences that were included in the Templeton, Crandall, and Sing (TCS) network.
DOI: 10.21227/81b1-4273
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 : 270,660 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: 10.6084/m9.figshare.10297460
title: Additional file 2 of The CLEAR (Considering Leading Experts’ Antithrombotic Regimes around peripheral angioplasty) survey: an international perspective on antiplatelet and anticoagulant practice for peripheral arterial endovascular intervention

description: Additional file 2: Table S1. Full data tables for responses.
DOI: 10.6084/m9.figshare.10297460.v2
title: Additional file 2 of The CLEAR (Considering Leading Experts’ Antithrombotic Regimes around peripheral angioplasty) survey: an international perspective on antiplatelet and anticoagulant practice for peripheral arterial endovascular intervention

description: Additional file 2: Table S1. Full data tables for responses.
DOI: 10.6084/m9.figshare.10297460.v1
title: MOESM2 of The CLEAR (Considering Leading Expertsâ€™ Antithrombotic Regimes around peripheral angioplasty) survey: an international perspective on antiplatelet and anticoagulant practice for peripheral arterial endovascular intervention

description: Additional file 2: Table S1. Full data tables for responses.
DOI: 10.6084/m9.figshare.13296947.v1
title: The complete mitochondrial genome of Fieberiella septentrionalis (Hemiptera Cicadellidae Deltocephalinae)

description: The complete mitochondrial genome of <i>Fieberiella septentrionalis</i> was annotation for the first time in the present study. The mitogenome was found to have circular shape, with 16,175 bp in size, containing 13 protein coding genes (PCGs), 22 transfer-RNA genes, 2 ribosomal-RNA genes, and 1 non-coding region. The nucleotide composition biases toward A and T is 77.9% of the entirety, which is a typical structure of Cicadellidae. All PCGs have ATN as the start codon, TAA and single T as the stop codon. The resulting phylogenetic tree confirms that the <i>F. septentrionalis</i> belongs to the subfamily of Deltocephalinae and Fieberiellini as sister to the remaining tribes of this subfamily.
DOI: 10.6084/m9.figshare.13297510.v1
title: Additional file 8 of Both EZH2 and JMJD6 regulate cell cycle genes in breast cancer

description: Additional file 8. Potential transcription factor binding sites in the conserved JMJD6 binding sites in two clusters types. Cluster with genes IL6, SIRT4, BRIX1 (A), and IGF2BP3, ADAM17, AURKA, Histones, IDE sites (B). The sequence used for PATCH begins with first base of conserved sequence marked in the clusters and PATCH score is given as percent binding.
DOI: 10.6084/m9.figshare.13297510
title: Additional file 8 of Both EZH2 and JMJD6 regulate cell cycle genes in breast cancer

description: Additional file 8. Potential transcription factor binding sites in the conserved JMJD6 binding sites in two clusters types. Cluster with genes IL6, SIRT4, BRIX1 (A), and IGF2BP3, ADAM17, AURKA, Histones, IDE sites (B). The sequence used for PATCH begins with first base of conserved sequence marked in the clusters and PATCH score is given as percent binding.
DOI: 10.6084/m9.figshare.13297573.v1
title: Additional file 2 of Advances and perspectives in selecting resistance traits against the parasitic mite Varroa destructor in honey bees

description: Additional file 2: Table S1. Published heritability estimates for resistance traits [54, 75, 139, 182, 267, 304, 314–332].
DOI: 10.6084/m9.figshare.13297573
title: Additional file 2 of Advances and perspectives in selecting resistance traits against the parasitic mite Varroa destructor in honey bees

description: Additional file 2: Table S1. Published heritability estimates for resistance traits [54, 75, 139, 182, 267, 304, 314–332].
DOI: 10.6084/m9.figshare.13297136
title: Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series - published and extracted data

description: Three files are included in this zip file.The first file (STurner_Empirical_Data_Dictionary.xls) is the Data Dictionary that describes the variables.The second file (STurner_Empirical_study_information.xls) contains details of the studies from which the data was obtained.The third file (STurner_Empirical_time_series.xls) contains interrupted time series data published (e.g. as a supplementary file) or digitally extracted (using WebPlotDigitizer) from graphs included in the studies in the second file.There are 184 interrupted time series.
DOI: 10.6084/m9.figshare.13297136.v1
title: Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series - published and extracted data

description: Three files are included in this zip file.The first file (STurner_Empirical_Data_Dictionary.xls) is the Data Dictionary that describes the variables.The second file (STurner_Empirical_study_information.xls) contains details of the studies from which the data was obtained.The third file (STurner_Empirical_time_series.xls) contains interrupted time series data published (e.g. as a supplementary file) or digitally extracted (using WebPlotDigitizer) from graphs included in the studies in the second file.There are 184 interrupted time series.
DOI: 10.25345/c5xf6n
title: MassIVE MSV000086532 - Proteomics of Culex tarsalis cells persistently infected with Culex narnavirus 1
title: This dataset is in support of a manuscript in preparation by Retallack et al. (2020). Data included here represent mosquito and viral protein sequences identified in a mosquito cell line persistently infected with Culex narnavirus 1.
DOI: 10.21227/npnw-pn71
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 dataset can be seen asperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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.
DOI: 10.21227/trxk-wm24
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 dataset can be seen asperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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.
DOI: 10.21227/epnb-ve93
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 dataset can be seen asperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: 10.21227/8rz1-p666
DOI: 10.21227/566h-dq56
title: p

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/es4k-w681
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 dataset can be seen asperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: 10.21227/8rz1-p666
DOI: 10.21227/tk3s-bm49
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.21227/6pf1-8685
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.6084/m9.figshare.13297688
title: SLD

description: SLD_GQI
DOI: 10.21227/hex0-2f16
title: 100W 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 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 40 000 rpm and maximum power of 102 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/384h-nf29
title: Manipulation Volume inside the Knee Joint Capsule

description: Coming soon.
DOI: 10.21227/wa58-qz57
title: 100W 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 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 40 000 rpm and maximum power of 102 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/x953-mg60
title: Manipulation Volume inside the Knee Joint Capsule

description: Coming soon.
DOI: 10.21227/59rq-6549
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.21227/r2td-6092
title: Inverter Affect on FOC of

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 ,There is related dataset "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666In this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/ha55-3q93
title: 100W 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 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 40 000 rpm and maximum power of 102 W.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/t6aw-cz46
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this paper and dataset, Dc power system
DOI: 10.21227/drg8-1186
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666
DOI: 10.21227/4318-ne66
title: Inverter Affect on FOC of

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the datasets "1.88kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer", ,DOI: https://dx.doi.org/yrb7-hp33 ,and "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666 ,the BLDC motorIn this paper and dataset, the affect of using three different inverter configurations on the FOC control of BLDC isPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/dtjc-rr46
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 includedperformance comparison using Sliding Mode Observer (SMO) and flux observer isPWMCOmpensCLosed loopAll 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 "100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer" ,DOI: https://dx.doi.org/10.21227/8rz1-p666