cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-2186/10
title: dichasus-0c5c.tfrecords

description: MOBTX static, then MOBTX moves from position C to position D, then MOBTX static. People may walk through the channel during the measurement at any time.
DOI: 10.18419/darus-2186/11
title: dichasus-0c5d.tfrecords

description: MOBTX static, then MOBTX moves from position D to position E, then MOBTX static. People may walk through the channel during the measurement at any time.
DOI: 10.18419/darus-2186/12
title: dichasus-0c5e.tfrecords

description: MOBTX static, then MOBTX moves from position E to position F, then MOBTX static. People may walk through the channel during the measurement at any time.
DOI: 10.18419/darus-2186/13
title: dichasus-0c5f.tfrecords

description: MOBTX static, then MOBTX moves from position F to position G, then MOBTX static. People may walk through the channel during the measurement at any time.
DOI: 10.18419/darus-2186/14
title: dichasus-0c60.tfrecords

description: MOBTX static, then MOBTX moves from position G to position H, then MOBTX static. People may walk through the channel during the measurement at any time.
DOI: 10.6084/m9.figshare.19213194
title: Supplementary Material for: Comparison of Airway Remodeling in Two Different Endotypes of Allergic Asthma

description: Different endotypes of asthma were described in human. Atopic asthma is a T-helper 2 (Th2)-mediated disease consisting mainly of an eosinophilic inflammation in the airways. Other endotypes show neutrophilic inflammation of the airways that is probably based on a Th17 response. There are several mouse models described in the literature to study the Th2 polarized eosinophilic disease, however, only a few models are available which characterize the neutrophilic endotype. The aim of this study was to compare both endotypes in relation to the severity of the allergen-induced inflammation. Groups of either Balb/c or DO11.10 mice were sensitized with ovalbumin (OVA) adsorbed to aluminum hydroxide. Mice were subsequently challenged with OVA for different periods of time. They were evaluated for airway hyperreactivity (AHR), cytokine production, airway inflammation, and remodeling of the airways. As expected, Balb/c mice developed a Th2 response with AHR, eosinophilic airway inflammation, and allergen-specific IgE and IgG1. By contrast DO11.10 mice showed a mixed Th1/Th17 response with strong neutrophilic airway inflammation, IgG2a, but only limited induction of AHR. While Balb/c mice showed remodeling of the airways with subepithelial fibrosis and goblet cell metaplasia, airway remodeling in DO11.10 mice was marginal. Both airway inflammation and remodeling resolved after prolonged periods of challenge in both models. In conclusion, strong allergen-induced airway remodeling in mice seems to be triggered by the specific conditions arising from infiltration with eosinophilic granulocytes in the lung. A Th1/Th17 response leading to neutrophilic inflammation does not seem to be sufficient to induce pronounced airway remodeling.
DOI: 10.18419/darus-2186/15
title: dichasus-0c61.tfrecords

description: MOBTX static, then MOBTX moves from position H to position I, then MOBTX static. Since position I is far away, only few datapoints in this dataset could be decoded.
DOI: 10.18419/darus-2186/16
title: dichasus-0c62.tfrecords

description: Transmitter moved along various paths, close to positions A to I.
DOI: 10.18419/darus-2186/17
title: dichasus-0c63.tfrecords

description: Transmitter was moved in a meandering pattern, close to positions A to I.
DOI: 10.18419/darus-2186/18
title: dichasus-0c64.tfrecords

description: Transmitter was moved in an area on the same street, but several meters further to the south.
DOI: 10.18419/darus-2186/19
title: spec.json

description: Machine-readable description file
DOI: 10.25345/c5wp9t75c
title: MassIVE Reanalysis RMSV000000354.4264 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NPPA [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19213113
title: Supplementary Material for: Estimation of Optimal Nasotracheal Tube Insertion Depth in Neonates Based on Fetal Biometric Measurements

description: <b><i>Background:</i></b> Current recommendations for neonatal endotracheal tube (ETT) insertion depths require the knowledge of anthropometric measurements, which are not immediately available in the delivery room setting. <b><i>Objective:</i></b> This study aimed to develop recommendations based on prenatally available fetal biometric measurements. <b><i>Methods:</i></b> In this retrospective study, the optimal ETT depths for nasotracheal insertion were correlated with fetal demographic and biometric data. Using linear regression analysis, diagrams with best-fit lines and tables for the recommendation of ETT insertion depth based on the prenatally available data were generated. <b><i>Results:</i></b> We analyzed optimal nasotracheal ETT insertion depth in 98 neonates (gestational age range: 23.7–42.0 weeks). Linear regression analysis revealed high correlations between fetal measurements and the optimal ETT insertion depth (<i>R</i><sup>2</sup> = 0.712–0.837). <b><i>Conclusion:</i></b> We provide recommendations for neonatal nasotracheal ETT insertion depths based on prenatally available data with the potential to facilitate rapid and accurate intubation of neonates.
DOI: 10.48370/ofd/8vyssd/hvcay3
title: Kwietniczek czterokropkowy (Anthaxia quadripunctata).JPG

description: :unav
DOI: 10.48370/ofd/8vyssd
title: Kwietniczek czterokropkowy (Anthaxia (Melanthaxia) quadripunctata (Linnaeus, 1758)), C-307

description: Coleoptera collection
DOI: 10.5281/zenodo.5501455
title: Benchmarking datasets used in the manuscript "VeChat: Correcting errors in noisy long reads using variation graphs"

description: This is the raw long-read sequencing data used for benchmarking experiments in the manuscript "VeChat: Correcting errors in noisy long reads using variation graphs". The name of the dataset is labeled as : simulated/real; ecoli/metagenome; ploidy/name; pacbio/ont; sequencing error rate; average sequencing coverage per haplotype.
DOI: 10.5281/zenodo.5501454
title: Benchmarking datasets used in the manuscript "VeChat: Correcting errors in noisy long reads using variation graphs"

description: This is the raw long-read sequencing data used for benchmarking experiments in the manuscript "VeChat: Correcting errors in noisy long reads using variation graphs". The name of the dataset is labeled as : simulated/real; ecoli/metagenome; ploidy/name; pacbio/ont; sequencing error rate; average sequencing coverage per haplotype.
DOI: 10.48370/ofd/nvntob
title: Geastrum minimum Schwein., 3631

description: Fungarium Macromycetes
DOI: 10.25345/c5rx93f1m
title: MassIVE Reanalysis RMSV000000354.4265 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM71D [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5525/gla.researchdata.1100
title: Programmable Design of Isothermal Nucleic Acid Diagnostic Assays through Abstraction-based Models
DOI: 10.6084/m9.figshare.19213203
title: EVAL-FARMS_Metagenomics_Accessions.xlsx

description: Details of accession numbers of all metagenomics sequences uploaded to the European Nucleotide Archive under Project PRJEB38990.
DOI: 10.6084/m9.figshare.19213203.v1
title: EVAL-FARMS_Metagenomics_Accessions.xlsx

description: Details of accession numbers of all metagenomics sequences uploaded to the European Nucleotide Archive under Project PRJEB38990.
DOI: 10.25345/c5n58cm75
title: MassIVE Reanalysis RMSV000000354.4267 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C10orf2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5hd7nt4h
title: MassIVE Reanalysis RMSV000000354.4268 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAFF [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.48370/ofd/4dfaj1
title: Geastrum schmidelii Vittad., 258

description: Fungarium Macromycetes
DOI: 10.25345/c5cr5nd2m
title: MassIVE Reanalysis RMSV000000354.4266 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LRRC31 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5804xk85
title: MassIVE Reanalysis RMSV000000354.4269 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ITGA4 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.48370/ofd/21zcsj/xi1rk3
title: Kwietniczek czterokropkowy (Anthaxia quadripunctata) 1.JPG

description: :unav
DOI: 10.48370/ofd/21zcsj
title: Kwietniczek czterokropkowy (Anthaxia (Melanthaxia) quadripunctata (Linnaeus, 1758)), C-308

description: Coleoptera collection
DOI: 10.3886/e163141
title: Student emotions, bad professors, and course ratings. A machine learning evaluation of one million student reviews.

description: For the first time in the literature, Natural Language Processing models based on deep neural networks are used to identify student emotions and extract bad performance by professors from the course reviews of students. I study how emotions and harmful performance are associated with high and low faculty ratings, the perceived level of difficulty of the course, and the university rating. I use a random sample of nearly one million student reviews from the ratemyprofessors.com website and the performance indicators of US universities from the Times Higher Education ranking. The linear and ordinal logistic regression models reveal strong relationships, and the estimated parameters have the expected signs. <br><br>Description of variables in the Results replication file, in Rdata format. 975,860 observations (rows). Raw data scraped from ratemyprofessors.com<br>- rev - textual student review<br>- rat - course rating (1-5)- dif - course perceived difficulty (1-5)- uname - University name- emo - emotion with the highest score- action_zs - professor bad performance with the highest probability calculated by zero-shot classification (DistilBERT model available at https://huggingface.co/typeform/distilbert-base-uncased-mnli)- sadness_sc - sadness emotion score calculated by DistilBERT model trained on Twitter corpus (available at https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion)- similar for the other five basic emotions- nwords - number of words in the review<br> - m, y - month and year when the review was written<br><br><br><br><br><br>
description: Random sample, 1 million out fo 20 million reviews. Max number of reviews per professor set to 20. If more reviews exist, scraped the latest 20.<br>
description: Random sample of student reviews from ratemyprofessors.com<br>.
DOI: 10.3886/e163141v1
title: Student emotions, bad professors, and course ratings. A machine learning evaluation of one million student reviews.

description: For the first time in the literature, Natural Language Processing models based on deep neural networks are used to identify student emotions and extract bad performance by professors from the course reviews of students. I study how emotions and harmful performance are associated with high and low faculty ratings, the perceived level of difficulty of the course, and the university rating. I use a random sample of nearly one million student reviews from the ratemyprofessors.com website and the performance indicators of US universities from the Times Higher Education ranking. The linear and ordinal logistic regression models reveal strong relationships, and the estimated parameters have the expected signs. <br><br>Description of variables in the Results replication file, in Rdata format. 975,860 observations (rows). Raw data scraped from ratemyprofessors.com<br>- rev - textual student review<br>- rat - course rating (1-5)- dif - course perceived difficulty (1-5)- uname - University name- emo - emotion with the highest score- action_zs - professor bad performance with the highest probability calculated by zero-shot classification (DistilBERT model available at https://huggingface.co/typeform/distilbert-base-uncased-mnli)- sadness_sc - sadness emotion score calculated by DistilBERT model trained on Twitter corpus (available at https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion)- similar for the other five basic emotions- nwords - number of words in the review<br> - m, y - month and year when the review was written<br><br><br><br><br><br>
description: Random sample, 1 million out fo 20 million reviews. Max number of reviews per professor set to 20. If more reviews exist, scraped the latest 20.<br>
description: Random sample of student reviews from ratemyprofessors.com<br>.
DOI: 10.5281/zenodo.6220994
title: Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting

description: OPEN DATA related to the research publication: Sai, P., Potashin, S. O., Szoła, M., Yavorskiy, D., Cywiński, G., Prystawko, P., ... & Kachorovskii, V. Y. (2021). <strong>Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting.</strong> <em>Physical Review B</em>, <em>104</em>(4), 045301 [arXiv:2102.12791]. <em>Abstract</em>: We report on the study of the magnetic ratchet effect in AlGaN/GaN heterostructures superimposed with a lateral superlattice formed by a dual-grating gate structure. We demonstrate that irradiation of the superlattice with a terahertz beam results in the <em>direct</em> ratchet current, which shows giant magneto-oscillations in the regime of Shubnikov–de Haas oscillations. The oscillations have the same period and are in phase with the resistivity oscillations. Remarkably, their amplitude is greatly enhanced as compared with the ratchet current at zero magnetic field, and the envelope of these oscillations exhibits large beatings as a function of the magnetic field. We demonstrate that the beatings are caused by the spin-orbit (SO) splitting of the conduction band. We develop a theory which gives a good qualitative explanation of all experimental observations and allows us to extract the SO splitting constant α<sub>SO</sub>=7.5±1.5 meVÅ. We also discuss how our results are modified by plasmonic effects and show that these effects become more pronounced with decreasing the period of the grating gate structures down to submicrons.
description: The financial support of the IRAP Programme of the Foundation for Polish Science (Grant No. MAB/2018/9, Project CENTERA) is gratefully acknowledged. The partial support by the National Science Centre, Poland, allocated on the basis of Grants No. 2016/22/E/ST7/00526, No. 2019/35/N/ST7/00203, and NCBIR No. WPC/20/DefeGaN/2018 is acknowledged. S.D.G. thanks the DFG-RFBR project (No. Ga501/18-1 and No. 21-52-12015) and Volkswagen Stiftung Cooperation Program (97738). The work of S.P. and V.K. was funded by RFBR, Projects No. 20-02-00490 and No. 21-52-12015, and by Foundation for the Advancement of Theoretical Physics and Mathematics.
DOI: 10.5281/zenodo.6220993
title: Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting

description: OPEN DATA related to the research publication: Sai, P., Potashin, S. O., Szoła, M., Yavorskiy, D., Cywiński, G., Prystawko, P., ... & Kachorovskii, V. Y. (2021). <strong>Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting.</strong> <em>Physical Review B</em>, <em>104</em>(4), 045301 [arXiv:2102.12791]. <em>Abstract</em>: We report on the study of the magnetic ratchet effect in AlGaN/GaN heterostructures superimposed with a lateral superlattice formed by a dual-grating gate structure. We demonstrate that irradiation of the superlattice with a terahertz beam results in the <em>direct</em> ratchet current, which shows giant magneto-oscillations in the regime of Shubnikov–de Haas oscillations. The oscillations have the same period and are in phase with the resistivity oscillations. Remarkably, their amplitude is greatly enhanced as compared with the ratchet current at zero magnetic field, and the envelope of these oscillations exhibits large beatings as a function of the magnetic field. We demonstrate that the beatings are caused by the spin-orbit (SO) splitting of the conduction band. We develop a theory which gives a good qualitative explanation of all experimental observations and allows us to extract the SO splitting constant α<sub>SO</sub>=7.5±1.5 meVÅ. We also discuss how our results are modified by plasmonic effects and show that these effects become more pronounced with decreasing the period of the grating gate structures down to submicrons.
description: The financial support of the IRAP Programme of the Foundation for Polish Science (Grant No. MAB/2018/9, Project CENTERA) is gratefully acknowledged. The partial support by the National Science Centre, Poland, allocated on the basis of Grants No. 2016/22/E/ST7/00526, No. 2019/35/N/ST7/00203, and NCBIR No. WPC/20/DefeGaN/2018 is acknowledged. S.D.G. thanks the DFG-RFBR project (No. Ga501/18-1 and No. 21-52-12015) and Volkswagen Stiftung Cooperation Program (97738). The work of S.P. and V.K. was funded by RFBR, Projects No. 20-02-00490 and No. 21-52-12015, and by Foundation for the Advancement of Theoretical Physics and Mathematics.
DOI: 10.25345/c54746s4d
title: MassIVE Reanalysis RMSV000000354.4270 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CLECL1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25403/upresearchdata.19213110
title: Developmental screening

description: Datasets are in Excel spreadsheet; Northern Sotho, Zulu and English data format which contains the following: PEDS tools and test data for 406 participants, participant number, preferred testing language, reasons for preferred language, child gender, child gest age (week), child calculated age (months), PEDS:DM etc who are at risk of devlopment delays in primary healthcare.<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.25403/upresearchdata.19213110.v1
title: Developmental screening

description: Datasets are in Excel spreadsheet; Northern Sotho, Zulu and English data format which contains the following: PEDS tools and test data for 406 participants, participant number, preferred testing language, reasons for preferred language, child gender, child gest age (week), child calculated age (months), PEDS:DM etc who are at risk of devlopment delays in primary healthcare.<br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.25345/c50g3h00p
title: MassIVE Reanalysis RMSV000000354.4271 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BHMT2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.