cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/zs3z-7x35
title: PT7 Web, an Annotated Portuguese Language Corpus

description: PT7 Web is an annotated Portuguese language Corpus built from samples collected from Sep 2018 to Mar 2020 from seven Portuguese-speaking countries: Angola, Brazil, Portugal, Cape Verde, Guinea-Bissau, Macao e Mozambique. The records were filtered from Common Crawl — a public domain petabyte-scale dataset of webpages in many languages, mixed together in temporal snapshots of the web, monthly available [1]. The Brazilian pages were labeled as the positive class and the others as the negative class (non-Brazillian Portuguese). The dataset totalized 249.74 GB of raw HTML text related to 16,346,693 unique web pages. The data was preprocessed to produce high dimensionality (2 to the power of 18 = 262,144 features) vectors of word distribution as input for the training and test phases. A demo of the use of this data may be checked in a two-level fractional design to investigate cluster performance on Spark [2].
DOI: 10.5281/zenodo.4302262
title: Combined dark, 1000 sec exposure, Andor Aspen CG16M

description: Combination of 100 dark images, each with exposure time 100 seconds.
DOI: 10.5281/zenodo.4302261
title: Combined dark, 1000 sec exposure, Andor Aspen CG16M

description: Combination of 100 dark images, each with exposure time 100 seconds.
DOI: 10.6084/m9.figshare.13338797.v1
title: Figure4L_Nup54-mEGFP494(0)_noRanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines. <b></b>
DOI: 10.6084/m9.figshare.13338797
title: Figure4L_Nup54-mEGFP494(0)_noRanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines. <b></b>
DOI: 10.6084/m9.figshare.13338800.v1
title: Figure4L_Nup54-mEGFP494(0)_RanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338800
title: Figure4L_Nup54-mEGFP494(0)_RanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338779
title: Figure4K_Nup133_mEGFP(-9)_noRanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338782.v1
title: Figure4K_Nup133_mEGFP(-9)_RanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338767
title: Figure4I_Nup133_mEGFP(-9)_lepB

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338773
title: Figure4J_Nup54-mEGFP494(0)_nolepB

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338773.v1
title: Figure4J_Nup54-mEGFP494(0)_nolepB

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338767.v1
title: Figure4I_Nup133_mEGFP(-9)_lepB

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338776.v1
title: Figure4J_Nup54-mEGFP494(0)_lepB

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338779.v1
title: Figure4K_Nup133_mEGFP(-9)_noRanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338782
title: Figure4K_Nup133_mEGFP(-9)_RanQ69L

description: Conformational changes of the Inner Ring of the NPC revealed by perturbations of cargo state in CRISPR cell lines.
DOI: 10.6084/m9.figshare.13338803
title: Figure4M_LANS_CM

description: The average change in the ratio of nuclear/cytoplasmic fluorescence in HeLa cells without dominant negative Ran transiently expressed.
DOI: 10.6084/m9.figshare.13338803.v1
title: Figure4M_LANS_CM

description: The average change in the ratio of nuclear/cytoplasmic fluorescence in HeLa cells without dominant negative Ran transiently expressed.
DOI: 10.21227/gfdn-k056
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in dataset-info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.
DOI: 10.21227/q7v6-sy46
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in dataset-info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.
DOI: 10.21227/2qqh-c524
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.
DOI: 10.21227/dmtc-j458
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.
DOI: 10.21227/39nv-3a82
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.
DOI: 10.5281/zenodo.3905343
title: HIV Tropism Ensemble Methods

description: Prediction of HIV-1 subtype C tropism using ensemble learning with genotypic algorithms. Made using R version 3.6.0. Original data used to generate models is in /originalData -------------------------- Previsão do tropismo do HIV-1 subtipo C com stacking de testes genotípicos. Feito com R, versão 3.6.0. Dados originais usados para gerar os modelos em /originalData
DOI: 10.5281/zenodo.4308750
title: HIV Tropism Ensemble Methods

description: Prediction of HIV-1 subtype C tropism using ensemble learning with genotypic algorithms. Made using R version 3.6.0. Original data used to generate models is in /originalData -------------------------- Previsão do tropismo do HIV-1 subtipo C com stacking de testes genotípicos. Feito com R, versão 3.6.0. Dados originais usados para gerar os modelos em /originalData
DOI: 10.5281/zenodo.3905342
title: HIV Tropism Ensemble Methods

description: Prediction of HIV-1 subtype C tropism using ensemble learning with genotypic algorithms. Made using R version 3.6.0. Original data used to generate models is in /originalData -------------------------- Previsão do tropismo do HIV-1 subtipo C com stacking de testes genotípicos. Feito com R, versão 3.6.0. Dados originais usados para gerar os modelos em /originalData
DOI: 10.17632/ymx7mjwpkp.6
title: Data for: New Nanocarried Phenobarbital Formulation: Maintains Better Control of Pentylenetetrazole-Induced Seizures.

description: Other files were not accepted for upload, and a message appears: “Something went wrong”.
DOI: 10.6084/m9.figshare.13338839.v1
title: Figure4N_LANS_RanQ69L

description: The average change in the ratio of nuclear/cytoplasmic fluorescence in HeLa cells with dominant negative Ran transiently expressed.
DOI: 10.6084/m9.figshare.13338839
title: Figure4N_LANS_RanQ69L

description: The average change in the ratio of nuclear/cytoplasmic fluorescence in HeLa cells with dominant negative Ran transiently expressed.
DOI: 10.6084/m9.figshare.13338857
title: Figure4_2C_Nup54-mEGFP494(2)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338860
title: Figure4_2C_Nup54-mEGFP494(2)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338851
title: Figure4_2B_Nup54-mEGFP494(1)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338857.v1
title: Figure4_2C_Nup54-mEGFP494(2)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338848
title: Figure4_2A_Nup133_mEGFP(-8)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338854
title: Figure4_2B_Nup54-mEGFP494(1)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338851.v1
title: Figure4_2B_Nup54-mEGFP494(1)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338845.v1
title: Figure4_2A_Nup133_mEGFP(-8)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338860.v1
title: Figure4_2C_Nup54-mEGFP494(2)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338845
title: Figure4_2A_Nup133_mEGFP(-8)_fed

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338848.v1
title: Figure4_2A_Nup133_mEGFP(-8)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.13338854.v1
title: Figure4_2B_Nup54-mEGFP494(1)_starved

description: The Inner Ring Nup Nup54 is reorganized with respect to the NPC after starvation. <b></b>
DOI: 10.6084/m9.figshare.3761562.v1705
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.13338470
title: Encuesta de percepción religiosa

description: La encuesta Percepción de la población costarricense sobre valores y prácticas religiosas se aplicó del 6 al 16 de octubre del 2018; con el propósito de obtener información sobre las prácticas y creencias religiosas de la población costarricense, así como su percepción con respecto a los valores y problemas presentes en la sociedad costarricense.
DOI: 10.6084/m9.figshare.13338881
title: Figure5B_Nup133(-9)_PlusRan_PlusKap_t00

description: Karyopherin content at the nuclear periphery induces conformational changes in Nup54-mEGFP<sup>494</sup> but not Nup133-mEGFP.
DOI: 10.6084/m9.figshare.13338881.v1
title: Figure5B_Nup133(-9)_PlusRan_PlusKap_t00

description: Karyopherin content at the nuclear periphery induces conformational changes in Nup54-mEGFP<sup>494</sup> but not Nup133-mEGFP.
DOI: 10.6084/m9.figshare.13338887
title: Figure5B_Nup133(-9)_PlusRan_PlusKap_t60

description: Karyopherin content at the nuclear periphery induces conformational changes in Nup54-mEGFP<sup>494</sup> but not Nup133-mEGFP.
DOI: 10.6084/m9.figshare.13338890.v1
title: Figure5B_Nup133(-9)_PlusRan_PlusKap_t90

description: Karyopherin content at the nuclear periphery induces conformational changes in Nup54-mEGFP<sup>494</sup> but not Nup133-mEGFP.
DOI: 10.6084/m9.figshare.13338890
title: Figure5B_Nup133(-9)_PlusRan_PlusKap_t90

description: Karyopherin content at the nuclear periphery induces conformational changes in Nup54-mEGFP<sup>494</sup> but not Nup133-mEGFP.
DOI: 10.6084/m9.figshare.13338923
title: Table S1.docx

description: Risk of bias assessment of included studies using modified Newcastle-Ottawa scale
DOI: 10.6084/m9.figshare.13338926
title: Table S2.docx

description: Definitions and units of included HRV indices
DOI: 10.6084/m9.figshare.13338926.v1
title: Table S2.docx

description: Definitions and units of included HRV indices
DOI: 10.21227/c92w-6048
title: Biomedical KEH B

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Circuits and Systems I: Regular Papers". There are 1-2 more papers related to this, which is circuit analysis based on existing and proposed theory.It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., theAuthor had extended this to artificial leg (project which was abandoned by the author due to finances) or artifical hand,The paper and the dataset contains the results on the known topology but as many medical doctors unaware of the known circuits (but may be ) - few component details is also revealed. Practical implementation using microcontroller isThe same can be used by DIY for patient monitoring in case of ICU patient or may be if needed by someone to take care of his/her loved one without fear of mind control.The data contains the results underIt is also known thatIn this paper and dataset, the working ciruit along withmass-spring system
DOI: 10.6084/m9.figshare.13338929.v1
title: Table S3.docx

description: Reported SDNN of included studies.
DOI: 10.6084/m9.figshare.13338929
title: Table S3.docx

description: Reported SDNN of included studies.
DOI: 10.6084/m9.figshare.13338932.v1
title: Table S4.docx

description: Reported SDNN Index of included studies
DOI: 10.6084/m9.figshare.13338932
title: Table S4.docx

description: Reported SDNN Index of included studies
DOI: 10.21227/w4h3-nd26
title: Model Predictive Controller Resonant

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".is a very popular topology used to power many devices in medical machines,industries,TV, telecom,automotives,nuclear etc .The results contained in this dataset are graphs which give intutive idea on the control characteristics,As such no analysis tool is needed,graphs are enough.Separate results at all
DOI: 10.17632/3grcrjchcv.1
title: Data for: Phase Relation Studies in the CeO2-Sm2O3 System at 1200 oC to 1600 oC in Air

description: epma results in the CeO2-Sm2O3 System at 1200℃ to 1600℃ in Air
DOI: 10.6084/m9.figshare.13338935
title: Table S5.docx

description: Reported SDANN of included studies.
DOI: 10.6084/m9.figshare.13338935.v1
title: Table S5.docx

description: Reported SDANN of included studies.
DOI: 10.6084/m9.figshare.13338938
title: Table S6.docx

description: Reported RMSSD of included studies.
DOI: 10.6084/m9.figshare.13338938.v1
title: Table S6.docx

description: Reported RMSSD of included studies.
DOI: 10.21227/khxt-6y86
title: Model Predictive Controller Resonant

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".is a very popular topology used to power many devices in medical machines,industries,TV, telecom,automotives,nuclear etc .The results contained in this dataset are graphs which give intutive idea on the control characteristics,As such no analysis tool is needed,graphs are enough.Separate results at all
DOI: 10.6084/m9.figshare.13338944
title: Table S7.docx

description: Reported pNN50 of included studies.
DOI: 10.6084/m9.figshare.13338944.v1
title: Table S7.docx

description: Reported pNN50 of included studies.
DOI: 10.6084/m9.figshare.13338947
title: Table S8.docx

description: Reported Total Power (TP) of included studies.
DOI: 10.6084/m9.figshare.13338947.v1
title: Table S8.docx

description: Reported Total Power (TP) of included studies.
DOI: 10.6084/m9.figshare.13338953
title: Table S9.docx

description: Reported High Frequency (HF) of included studies.
DOI: 10.6084/m9.figshare.13338953.v1
title: Table S9.docx

description: Reported High Frequency (HF) of included studies.
DOI: 10.21227/hyxr-m365
title: kW DC Solar

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/gyag-9c97
title: Model Predictive Controller Resonant

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".is a very popular topology used to power many devices in medical machines,industries,TV, telecom,automotives,nuclear etc .The results contained in this dataset are graphs which give intutive idea on the control characteristics,As such no analysis tool is needed,graphs are enough.Separate results at all
DOI: 10.6084/m9.figshare.13338956
title: Table S10.docx

description: Reported Low Frequency (LF) of included studies.
DOI: 10.6084/m9.figshare.13338956.v1
title: Table S10.docx

description: Reported Low Frequency (LF) of included studies.
DOI: 10.6084/m9.figshare.13338959.v1
title: Table S11.docx

description: Reported Very Low Frequency (VLF) of included studies.
DOI: 10.6084/m9.figshare.13338959
title: Table S11.docx

description: Reported Very Low Frequency (VLF) of included studies.
DOI: 10.21227/gr4j-g376
title: Model Predictive Controller Resonant

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".is a very popular topology used to power many devices in medical machines,industries,TV, telecom,automotives,nuclear etc .The results contained in this dataset are graphs which give intutive idea on the control characteristics,As such no analysis tool is needed,graphs are enough.Separate results at all
DOI: 10.6084/m9.figshare.13338962
title: Table S12.docx

description: Reported Low Frequency/High Frequency Ration (LF:HF) of included studies.
DOI: 10.6084/m9.figshare.13338962.v1
title: Table S12.docx

description: Reported Low Frequency/High Frequency Ration (LF:HF) of included studies.
DOI: 10.21227/a8rn-3336
title: Model Predictive Controller Resonant

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".is a very popular topology used to power many devices in medical machines,industries,TV, telecom,automotives,nuclear etc .The results contained in this dataset are graphs which give intutive idea on the control characteristics,As such no analysis tool is needed,graphs are enough.Separate results at all
DOI: 10.6084/m9.figshare.13338965
title: Table S13.docx

description: Reported HRV non-linear indices; SD1, SD2, Sample Entropy (SampEn) and Detrended Fluctuation Analysis- (DFA α1) of included studies.
DOI: 10.6084/m9.figshare.13338965.v1
title: Table S13.docx

description: Reported HRV non-linear indices; SD1, SD2, Sample Entropy (SampEn) and Detrended Fluctuation Analysis- (DFA α1) of included studies.
DOI: 10.6073/pasta/dd290e862563c3f16edcb67552113d42
title: North Temperate Lakes LTER: Fish Species Richness 1981 - current

description: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow, or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Species richness for a lake is the number of fish species caught in that lake during the annual fish sampling. Hybrids captured are only included in the richness value if neither of the two hybridized species are caught in the lake that year. Fish idenitified only to genus or higher taxonomic level are not included if any fish identified to species within that genus or higher taxonomic level are caught. E.g., Unidentified Chub would be only included in the richness value if no other chub is caught in that lake that year. Sampling Frequency: annually Number of sites: 11
DOI: 10.15468/6rd3n8
title: Floristic diversity of potential exploitable ranches in the Collines and Zou departments of Benin

description: This data file represents all of the different plant species encountered in certain ranches in the Zou and Collines departments in Benin as part of the PAGEFCOM 2 Project studies, focused on floristic inventories, carbon sequestration, ecotourism. and wildlife, for an inventory in order to promote these different available ranches.
DOI: 10.21227/6msf-dy72
title: doi

description: f
DOI: 10.21227/9asa-t892
title: wind turbine blade

description: This dataset is in support of my research paper submitted to "IEEE Transactions on Energy Conversion".In this paper and dataset, two models and their performance has been investigated.simulation and resultsIn the submitted dataset and paper " N Wind Turbine ", the comparison on 2 models was drawn, The author in 3 more papers has extended that to but the model chosen All these experiments are curiosity by the author but helpful to know if implementing this way is beneficial or not, in practical situations.In this dataset and the Research papers Part 1, 2, 3 submitted to Journal,
DOI: 10.21227/6tt0-w613
title: wind turbine generator

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on on Energy Conversion".