cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25592/uhhfdm.13599
title: Temporal Model UIE-Base_TempEval-3

description: Temporal Model "UIE-Base" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13594
title: Temporal Model UIE-Base_WikiWars

description: Temporal Model "UIE-Base" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13591
title: Temporal Model XLM-RoBERTa-Large_WikiWars

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13598
title: Temporal Model UIE-Base_TempEval-3

description: Temporal Model "UIE-Base" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13590
title: Temporal Model XLM-RoBERTa-Large_WikiWars

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "WikiWars" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13587
title: Temporal Model XLM-RoBERTa-Large_Tweets

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13589
title: Temporal Model XLM-RoBERTa-Large_TempEval-3

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13586
title: Temporal Model XLM-RoBERTa-Large_Tweets

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "Tweets" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.25592/uhhfdm.13588
title: Temporal Model XLM-RoBERTa-Large_TempEval-3

description: Temporal Model "XLM-RoBERTa-Large" finetuned on the "TempEval-3" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".
DOI: 10.57770/jaouro
title: Metabolic Reprogramming of Human Cells in Response to Oxidative Stress: Implications in the Pathophysiology and Therapy of Mitochondrial Diseases

description: Mitochondria are the organelles producing most of the energy and play important roles in a variety of biochemical functions inhuman cells. Mitochondrial defects can cause ATP deficiency and overproduction of reactive oxygen species, which are the major hall-marks of mitochondrial diseases. Abundant evidence has suggested that mitochondrial dysfunction-elicited oxidative stress can play animportant role in the pathogenesis and progression of mitochondrial diseases. Mitochondria can respond to energy deficiency by the ret-rograde signaling to trigger a number of molecular events to help the human cells to cope with physiological or environmental changes.In this article, we first describe oxidative stress-induced cellular responses including metabolic adaptation, compensatory increase of mi-tochondrial biogenesis, upregulation of antioxidant enzymes, and alteration of protein acetylation in human cells with mitochondrial dys-function. In this regard, we review recent findings to elucidate the mechanisms by which human cells motivate their mitochondria and theantioxidant defense system to respond to energy deficiency and oxidative stress, which contribute to the adaptive metabolic reprogram-ming in mitochondrial diseases. In addition, we emphasize the critical role of the activation of AMPK, Sirt1 and Sirt3 in the metabolicadaptation of human cells harboring mitochondrial DNA mutations. Recent studies have revealed that AMPK and sirtuins-mediated sig-naling pathways are involved in metabolic reprogramming, which is effected by upregulation of antioxidant defense system and mito-chondrial protein acetylation, in human cells with mitochondrial dysfunction. Finally, we discuss several potential modulators of bio-energetic function such as coenzyme Q 10 , mitochondria-targeting antioxidants, resveratrol, and L-carnitine based on recent findings fromstudies on human cells and animal models of mitochondrial diseases. Elucidation of the signaling pathway of this adaptive response tooxidative stress triggered by mitochondrial dysfunction may enable us to gain a deeper insight into the communication between mito-chondria and the nucleus and guide us to develop novel therapeutic agents for effective treatment of mitochondrial diseases.
DOI: 10.6084/m9.figshare.24503992.v1
title: <b>Exploring the causal effects and potential mechanisms affecting LDL-C: a </b><b>multiomics</b><b> Mendelian randomization study</b>

description: This dataset contains data about the causal effects and potential mechanisms affecting plasma LDL-C levels.
DOI: 10.4121/f86ba220-08a1-4fa0-89a9-d8995790675b
title: Kinematic data from youth baseball pitchers recorded with PITCHPERFECT motion sensors

description: Data underlying the research of Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors.<br>Data set contains kinematics, ball velocity, pitcher's characteristics and pitch types from youth pitchers that are members of the elite youth academies of the Royal Dutch Baseball and Softball Federation (KNBSB).
DOI: 10.4121/f86ba220-08a1-4fa0-89a9-d8995790675b.v1
title: Kinematic data from youth baseball pitchers recorded with PITCHPERFECT motion sensors

description: Data underlying the research of Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors.<br>Data set contains kinematics, ball velocity, pitcher's characteristics and pitch types from youth pitchers that are members of the elite youth academies of the Royal Dutch Baseball and Softball Federation (KNBSB).
DOI: 10.5281/zenodo.10061450
title: A Systematic Review on the Use of Multi Agent Coordination for Teleprotection Relays in Electrical Distribution Networks

description: Data set for review on the coordination of relays.
DOI: 10.5281/zenodo.10061447
title: A Systematic Review on the Use of Multi Agent Coordination for Teleprotection Relays in Electrical Distribution Networks

description: Data set for review on the coordination of relays.
DOI: 10.25592/uhhfdm.13537
title: Unaligned Cryo-Electronmicroscopy multiframe-movies of BH062

description: Unaligned Cryo-Electronmicroscopy multiframe-movies of BH062. Titan Krios 300 kV 0.8 pixelsize
DOI: 10.25592/uhhfdm.13536
title: Unaligned Cryo-Electronmicroscopy multiframe-movies of BH062

description: Unaligned Cryo-Electronmicroscopy multiframe-movies of BH062. Titan Krios 300 kV 0.8 pixelsize
DOI: 10.5281/zenodo.10074179
title: Dataset related to the paper "Role of enhancement modifications in evaluating tumor response to immunotherapy in metastatic renal cell carcinoma"

description: Dataset related to the paper "Role of enhancement modifications in evaluating tumor response to immunotherapy in metastatic renal cell carcinoma"
DOI: 10.5281/zenodo.10074178
title: Dataset related to the paper "Role of enhancement modifications in evaluating tumor response to immunotherapy in metastatic renal cell carcinoma"

description: Dataset related to the paper "Role of enhancement modifications in evaluating tumor response to immunotherapy in metastatic renal cell carcinoma"
DOI: 10.7795/720.20231026c
title: A calibration methodology for the novel radioluminescence detector systems

description: The files contain the data relevant to the calibration of radioluminescence systems and presented in the corresponding article, including the spectra of the alpha and optical standards, calibration curves, and radioluminescence images. For scanning measurements, the photon count rate is reported for each pixel of the image where each pixel designates the particular detector orientation (pitch, yaw) set by goniometer stages.
description: The project 19ENV02 RemoteALPHA has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.10054364
title: Dataset related to the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue"

description: The dataset contains the results presented in the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue" Appl. Sci. 2023, 13, 10672. 
 
The presented dataset contains the results of the implementation of the following research project: 
Project title: "Assessment of the possibility of using vitamin D3 in the prevention and treatment of pulmonary fibrosis in the course of hypersensitivity pneumonitis - in vivo studies"
Founder: National Scientific Center, Poland
Project number: UMO-2020/38/E/NZ7/00366
Principal Investigator: Marta Kinga Lemieszek
Main investigators: Michał Chojnacki, Jakub Anisiewicz, Ilona Leśniowska
Place of project implementation: Department of Medical Biology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland
DOI: 10.5281/zenodo.10054363
title: Dataset related to the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue"

description: The dataset contains the results presented in the manuscript entitled "Inhalation with Vitamin D3 Metabolites - A Novel Strategy to Restore Vitamin D3 Deficiencies in Lung Tissue" Appl. Sci. 2023, 13, 10672. 
 
The presented dataset contains the results of the implementation of the following research project: 
Project title: "Assessment of the possibility of using vitamin D3 in the prevention and treatment of pulmonary fibrosis in the course of hypersensitivity pneumonitis - in vivo studies"
Founder: National Scientific Center, Poland
Project number: UMO-2020/38/E/NZ7/00366
Principal Investigator: Marta Kinga Lemieszek
Main investigators: Michał Chojnacki, Jakub Anisiewicz, Ilona Leśniowska
Place of project implementation: Department of Medical Biology, Institute of Rural Health, Jaczewskiego 2, 20-090 Lublin, Poland
DOI: 10.6084/m9.figshare.24101619.v1
title: Kartezio: A Darwinian Designer of Explainable Algorithms for Biomedical Image Segmentation

description: Kartezio is a robust and flexible AI-based computational tool that facilitates biomedical image analysis. It generates fully transparent, easily interpretable image processing pipelines using small datasets of training images. The data uploaded here serves as the Source Data for the manuscript (raw images, datasets, and genotypes) as described in the paper.
DOI: 10.6084/m9.figshare.24101619
title: Kartezio: A Darwinian Designer of Explainable Algorithms for Biomedical Image Segmentation

description: Kartezio is a robust and flexible AI-based computational tool that facilitates biomedical image analysis. It generates fully transparent, easily interpretable image processing pipelines using small datasets of training images. The data uploaded here serves as the Source Data for the manuscript (raw images, datasets, and genotypes) as described in the paper.
DOI: 10.25345/c59z90p29
title: MassIVE MSV000093304 - Ttttttttttttttttttttttttttttttttttttttteszt9
title: dfsauhsoqenfgosagfzusagfzdsaidzsaibncgdsaufgdomsafh
DOI: 10.6084/m9.figshare.24504034
title: PMC-Patients

description: Datasets of PMC-Patients.
DOI: 10.5281/zenodo.10012816
title: STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions

description: We present STT4SG-350 (Speech-to-Text for Swiss German), a corpus of Swiss German speech, annotated with Standard German text at the sentence level. The data is collected using a web app in which the speakers are shown Standard German sentences, which they translate to Swiss German and record. We make the corpus publicly available. It contains 343 hours of speech from all dialect regions and is the largest public speech corpus for Swiss German to date. Application areas include automatic speech recognition (ASR), text-to-speech, dialect identification, and speaker recognition. Dialect information, age group, and gender of the 316 speakers are provided. Genders are equally represented and the corpus includes speakers of all ages. Roughly the same amount of speech is provided per dialect region, which makes the corpus ideally suited for experiments with speech technology for different dialects. We provide training, validation, and test splits of the data. The test set consists of the same spoken sentences for each dialect region and allows a fair evaluation of the quality of speech technologies in different dialects. We train an ASR model on the training set and achieve an average BLEU score of 74.7 on the test set. The model beats the best published BLEU scores on 2 other Swiss German ASR test sets, demonstrating the quality of the corpus.
DOI: 10.5281/zenodo.10012815
title: STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions

description: We present STT4SG-350 (Speech-to-Text for Swiss German), a corpus of Swiss German speech, annotated with Standard German text at the sentence level. The data is collected using a web app in which the speakers are shown Standard German sentences, which they translate to Swiss German and record. We make the corpus publicly available. It contains 343 hours of speech from all dialect regions and is the largest public speech corpus for Swiss German to date. Application areas include automatic speech recognition (ASR), text-to-speech, dialect identification, and speaker recognition. Dialect information, age group, and gender of the 316 speakers are provided. Genders are equally represented and the corpus includes speakers of all ages. Roughly the same amount of speech is provided per dialect region, which makes the corpus ideally suited for experiments with speech technology for different dialects. We provide training, validation, and test splits of the data. The test set consists of the same spoken sentences for each dialect region and allows a fair evaluation of the quality of speech technologies in different dialects. We train an ASR model on the training set and achieve an average BLEU score of 74.7 on the test set. The model beats the best published BLEU scores on 2 other Swiss German ASR test sets, demonstrating the quality of the corpus.
DOI: 10.17909/82r5-w624
title: HybPSF: Hybrid PSF reconstruction for the observed JWST NIRCam imag

description: The data was used for data reduction in Hybrid PSF reconstruction.
DOI: 10.6084/m9.figshare.24503815
title: FMGC Eukaryotic bins and viral contigs

description: <i>The detection of eukaryotic genomes involved an initial filtration step using EukRep v0.6.772 to selectively retain bins containing substantial amounts of eukaryotic DNA. Bins with more than 1 Mbp of eukaryotic bases were considered as potential eukaryotic bins. Next, Busco v5.5.0 was used to estimate bin completeness and contamination. We obtained a total of 35 putative eukaryotic bins with very low completeness, ranging from 1% to 50%, suggesting no useful eukaryotic genomes could be identified in our dataset. Notably, only 2 bins reached 50% completeness (50.6% and 54.5%).</i><i>Additionally, VirSorter2 (--min-score 0.7) was used to identify viral contigs. Contigs with VirSorter2 score over 0.7 were considered as viral contigs. As short contigs may only represent fragments of viral genomes, contigs that were longer than 5 kb were kept for further analysis. The kept dataset was dereplicated using CD-HIT (v4.8.1, parameters: -c 0.95 -n 8) using a global identity threshold of 95%. We obtained a total of 21,777 non-redundant viral contigs. The completeness and contamination were estimate with CheckV. In total, 2,417 (9.86%) and 165 (0.76%) viral contigs were considered complete or high-quality (&gt;90% completeness).</i>
DOI: 10.25375/uct.22958201
title: Investigation of cardiac mechanics and mechanical circulatory support therapies in peripartum cardiomyopathy using machine learning and patient-specific computational modelling

description: Software and data for PhD thesis of Juliet Nagawa<b>FEM Models.zip </b>Biventricular cardiac model input files (Abaqus, Dassault Systèmes, Providence, USA) of six PPCM patients to simulate five cardiac cycles (active contraction and passive filling). Six models per patient: No LVAD support, LVAD support with speeds of 8k to 12k.Refer to thesis chapters 2 and 3.<b>FEM Strain and stress.zip</b>Myocardial strain and stress results from FEM models.Refer to thesis chapters 2 and 3.<b>FEM Volume and pressure.zip</b>Ventricular volume and pressure parameters from FEM models.Refer to thesis chapters 2 and 3.<b>Statistical analysis.zip</b>Matlab and R files for statistical analysis of PPCM demographics and cardiac function datasetRefer to thesis chapter 4, sections 4.2.2. <b>ANN.zip</b>Matlab and Python programs used to develop machine learning algorithms and developed machine learning models.Refer to thesis chapter 4, sections 4.2.3 and 4.2.4.Each archive file contains more detailed descriptions of the content as text files.
DOI: 10.25375/uct.22958201.v1
title: Investigation of cardiac mechanics and mechanical circulatory support therapies in peripartum cardiomyopathy using machine learning and patient-specific computational modelling

description: Software and data for PhD thesis of Juliet Nagawa<b>FEM Models.zip </b>Biventricular cardiac model input files (Abaqus, Dassault Systèmes, Providence, USA) of six PPCM patients to simulate five cardiac cycles (active contraction and passive filling). Six models per patient: No LVAD support, LVAD support with speeds of 8k to 12k.Refer to thesis chapters 2 and 3.<b>FEM Strain and stress.zip</b>Myocardial strain and stress results from FEM models.Refer to thesis chapters 2 and 3.<b>FEM Volume and pressure.zip</b>Ventricular volume and pressure parameters from FEM models.Refer to thesis chapters 2 and 3.<b>Statistical analysis.zip</b>Matlab and R files for statistical analysis of PPCM demographics and cardiac function datasetRefer to thesis chapter 4, sections 4.2.2. <b>ANN.zip</b>Matlab and Python programs used to develop machine learning algorithms and developed machine learning models.Refer to thesis chapter 4, sections 4.2.3 and 4.2.4.Each archive file contains more detailed descriptions of the content as text files.
DOI: 10.5281/zenodo.10074337
title: ХУДОЖЕСТВЕННОЕ ВЫРАЖЕНИЕ ПРЕЕМСТВЕННОСТИ ПОКОЛЕНИЙ В ТРУДАХ ЧИНГИЗА АЙТМАТОВА

description: В данной статье рассматриваются педагогические идеи великого классика Чингиза Айтматова, его воззрения касательно актуальных педагогических проблем. Также в статье приводится анализ художественного отражения такого важного элемента педагогической мысли Чингиза Айтматова, как преемственность поколений. Отмечается, что писатель обращается к этому важному вопросу как в публицистике, так и в художественном творчестве.
DOI: 10.5281/zenodo.10074338
title: ХУДОЖЕСТВЕННОЕ ВЫРАЖЕНИЕ ПРЕЕМСТВЕННОСТИ ПОКОЛЕНИЙ В ТРУДАХ ЧИНГИЗА АЙТМАТОВА

description: В данной статье рассматриваются педагогические идеи великого классика Чингиза Айтматова, его воззрения касательно актуальных педагогических проблем. Также в статье приводится анализ художественного отражения такого важного элемента педагогической мысли Чингиза Айтматова, как преемственность поколений. Отмечается, что писатель обращается к этому важному вопросу как в публицистике, так и в художественном творчестве.
DOI: 10.5281/zenodo.10074350
title: АКТУАЛЬНЫЕ ПОДХОДЫ К ОБУЧЕНИЮ  РУССКОМУ ЯЗЫКУ У УЧАЩИХСЯ УРОВНЯ В1 СРЕДНИХ ОБЩЕОБРАЗОВАТЕЛЬНЫХ ШКОЛ

description: В данной работе показывается постепенная смена парадигмы обучения русского как неродного на парадигму обучения русского как иностранного. Указывается на факт разработки национальной учебной программы по русскому языку как иностранному.
DOI: 10.5281/zenodo.10074349
title: АКТУАЛЬНЫЕ ПОДХОДЫ К ОБУЧЕНИЮ  РУССКОМУ ЯЗЫКУ У УЧАЩИХСЯ УРОВНЯ В1 СРЕДНИХ ОБЩЕОБРАЗОВАТЕЛЬНЫХ ШКОЛ

description: В данной работе показывается постепенная смена парадигмы обучения русского как неродного на парадигму обучения русского как иностранного. Указывается на факт разработки национальной учебной программы по русскому языку как иностранному.
DOI: 10.5281/zenodo.8413572
title: Fragment-sequencing unveils local tissue microenvironments at single-cell resolution

description: This dataset contains the Resolve dataset that was used in the publication. Other data set can be found in GEO with the accession number GSE216189. The code that was used during the analysis can be found on our GitHub repository: https://github.com/Moors-Code/Fragment-sequencing
DOI: 10.5281/zenodo.8413573
title: Fragment-sequencing unveils local tissue microenvironments at single-cell resolution

description: This dataset contains the Resolve dataset that was used in the publication. Other data set can be found in GEO with the accession number GSE216189. The code that was used during the analysis can be found on our GitHub repository: https://github.com/Moors-Code/Fragment-sequencing
DOI: 10.5281/zenodo.10074368
title: ФОРМИРОВАНИЕ И РАЗВИТИЕ КОГНИТИВНЫХ СПОСОБНОСТЕЙ СТУДЕНТОВ В ОБУЧЕНИИ ИНЖЕНЕРНОЙ ГРАФИКИ

description: В статье рассмотрены методы формирования и развития когнитивных способностей, метакогнитивных навыков, когнитивных интересов, саморегуляции студентов в обучении инженерной графики. Преодоление трудности, в которой студент испытывает ситуативный интерес во время выполнения учебного задания.
DOI: 10.5281/zenodo.10074369
title: ФОРМИРОВАНИЕ И РАЗВИТИЕ КОГНИТИВНЫХ СПОСОБНОСТЕЙ СТУДЕНТОВ В ОБУЧЕНИИ ИНЖЕНЕРНОЙ ГРАФИКИ

description: В статье рассмотрены методы формирования и развития когнитивных способностей, метакогнитивных навыков, когнитивных интересов, саморегуляции студентов в обучении инженерной графики. Преодоление трудности, в которой студент испытывает ситуативный интерес во время выполнения учебного задания.
DOI: 10.5281/zenodo.10074379
title: SAVDO XIZMATLARI TARMOG'INI RIVOJLANTIRISH MASALALARIGA TIZIMLI YONDOSHUV

description: Maqolada savdo xizmatlari tarmog'ini rivojlantirishning kompleks tizimli masalasining o'ziga xos xususiyatlari va ekonometrik modellashtirish zaruriyati tadqiq etilgan.Shuningdek, savdo xizmatlarini innovatsion rivojlantirish salohiyatini baholash ko'rsatkichlarining istiqboldagi o'zgarish tendensiyasining ilmiy bashorati zarurligi, mintaqada savdo xizmatalari barqaror o'sish tendensiyasini aniqlash eng asosiy masalalar tizimini shakllantirish zaruriyati ko'rsatib o'tilgan.
DOI: 10.5281/zenodo.10074378
title: SAVDO XIZMATLARI TARMOG'INI RIVOJLANTIRISH MASALALARIGA TIZIMLI YONDOSHUV

description: Maqolada savdo xizmatlari tarmog'ini rivojlantirishning kompleks tizimli masalasining o'ziga xos xususiyatlari va ekonometrik modellashtirish zaruriyati tadqiq etilgan.Shuningdek, savdo xizmatlarini innovatsion rivojlantirish salohiyatini baholash ko'rsatkichlarining istiqboldagi o'zgarish tendensiyasining ilmiy bashorati zarurligi, mintaqada savdo xizmatalari barqaror o'sish tendensiyasini aniqlash eng asosiy masalalar tizimini shakllantirish zaruriyati ko'rsatib o'tilgan.
DOI: 10.34740/kaggle/dsv/6896728
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6896729
title: OnlineFree