cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fpkr2jwf4c.1
title: Promoter hypermethylation of TMEM130 is associated with tumor cell migration in cervical cancer

description: Cervical cancer is the fourth most common cancer and the second leading cause of cancer-related deaths in women worldwide. DNA methylation affects the prognosis of cervical cancer by changing gene expression. We performed an epigenome-wide association study to investigate whether the role of DNA methylation in TMEM130 gene expression is associated with the function of TMEM130 in cervical cancer cell migration.TMEM130 downregulation and hypermethylation might contribute to cervical cancer migration. These findings suggested that TMEM130 might be a promising biomarker for cervical cancer.
DOI: 10.5281/zenodo.10570010
title: Where do archers hurt? Epidemiology of injuries during archery practice (dataset)

description: This is the dataset of the journal article "Where do archers hurt? Epidemiology of injuries during archery practice" Alberola-Zorrilla P, Castaño-Ortiz C, Sánchez-Zuriaga D.  Physiother Theory Pract. Published online November 3, 2022. doi:10.1080/09593985.2022.2136507
DOI: 10.5281/zenodo.10570011
title: Where do archers hurt? Epidemiology of injuries during archery practice (dataset)

description: This is the dataset of the journal article "Where do archers hurt? Epidemiology of injuries during archery practice" Alberola-Zorrilla P, Castaño-Ortiz C, Sánchez-Zuriaga D.  Physiother Theory Pract. Published online November 3, 2022. doi:10.1080/09593985.2022.2136507
DOI: 10.5281/zenodo.10570073
title: Protocol for Forearm Pronosupination Strength Measuring in Different Postures: Reliability and Influence of Relevant Factors (dataset)

description: This is the dataset of the journal article "Protocol for Forearm Pronosupination Strength Measuring in Different Postures: Reliability and Influence of Relevant Factors." Ligero CH, Zuriaga DS, Iranzo ÚM, Corresa SP, De Rosario H.  Am J Occup Ther. 2023;77(5):7705205110. doi:10.5014/ajot.2023.050238
DOI: 10.5281/zenodo.10570074
title: Protocol for Forearm Pronosupination Strength Measuring in Different Postures: Reliability and Influence of Relevant Factors (dataset)

description: This is the dataset of the journal article "Protocol for Forearm Pronosupination Strength Measuring in Different Postures: Reliability and Influence of Relevant Factors." Ligero CH, Zuriaga DS, Iranzo ÚM, Corresa SP, De Rosario H.  Am J Occup Ther. 2023;77(5):7705205110. doi:10.5014/ajot.2023.050238
DOI: 10.5281/zenodo.10570106
title: Biomechanical analysis of breastfeeding positions and their effects on lumbopelvic curvatures and lumbar muscle responses (dataset)

description: This is the dataset from the journal article "Biomechanical analysis of breastfeeding positions and their effects on lumbopelvic curvatures and lumbar muscle responses." Biviá-Roig G, Lisón JF, Sánchez-Zuriaga D.  Appl Ergon. 2023;110:104029. doi:10.1016/j.apergo.2023.104029
DOI: 10.5281/zenodo.10570107
title: Biomechanical analysis of breastfeeding positions and their effects on lumbopelvic curvatures and lumbar muscle responses (dataset)

description: This is the dataset from the journal article "Biomechanical analysis of breastfeeding positions and their effects on lumbopelvic curvatures and lumbar muscle responses." Biviá-Roig G, Lisón JF, Sánchez-Zuriaga D.  Appl Ergon. 2023;110:104029. doi:10.1016/j.apergo.2023.104029
DOI: 10.17632/5zs6c646wb.1
title: Seismic velocity changes in the Anninghe fault zone

description: The uploaded data primarily consist of the cross-correlation of seismic ambient noise data collected by the linear array along the Anninghe Fault Zone from October 2019 to January 2021, as well as the results of the seismic velocity changes.
DOI: 10.17632/6xt3b959nv.1
title: ISLAMIC WORK ETHICS DATA SET (125 respondents)

description: This data set contains knowledge sharing, Islamic work ethics and perceptions of politics data . Data was gathered from Islamic Banks in Pakistan.
DOI: 10.17632/p8hy9nkp77.1
title: Help-seeking intentions in university adolescent students from Peru

description: The aim of this study was to determine the prevalence of formal help-seeking intentions among Peruvian adolescent university students during the COVID-19 pandemic in Peru, and to identify its associated factors. We conducted an analytical cross-sectional study in adolescent university students aged 18-21 years old who were enrolled at the Universidad Nacional Mayor de San Marcos (UNMSM). The participants were selected from each of the five blocks of university careers to obtain a representative sample. Within each block, a second selection was made for the career with the highest number of students enrolled: Medicine, Biology, Industrial Engineering, Accounting, and Law, respectively. A total of 316 participants were included through a non-probabilistic sampling proportional to the number of individuals in each block. We collected the list of registered university students and their institutional e-mail addresses after requesting them from the academic department of each of the faculties. Students were contacted by e-mail between March and August 2021. After receiving the information and purpose of the study, the questionnaires to be applied, the benefits, harms, and rights of the participants, those students who provided informed consent were included. Students answered the surveys through a Google form, which was encoded in Microsoft Excel 365 to preserve the anonymity of the respondents. The dependent variable of the study was the formal help-seeking intentions, which were obtained through the General Help-Seeking Questionnaire Vignette Version (GHSQ-V). In addition, we evaluated the history of the need to seek help in the last five years ("Have you perceived the need to seek help in the last five years?") and formal help-seeking behavior ("Have you sought help from a psychologist, physician or psychiatrist in the last five years?"). On the other hand, we measured the degree of family cohesion through the cohesion subscale of the Family Environment Scale (FES).. Finally, sociodemographic variables were collected, such as sex, age, marital status, university career, job, having repeated a course, having a house, having children, monthly income, and the educational level of the father and mother.
DOI: 10.17632/dr38z9kz2h.1
title: Evaluation of the accuracy from thermal imaging results in experimental tests when using 1 MHz therapeutic ultrasound

description: In therapeutic hyperthermia, one of the main concerns is the determination of tissue temperature with minimum delay. However, studies in this area started from the application of models like pence equation and reached to MRI application in hyperthermia thermometry. Some limitations, such as cost, time, and equipment, recent studies have gravitated to other methods such as Infra-red cameras. Due to the superficial nature of IR thermometry, the goal of this study was to investigate the temperature difference in different regions of tissue while utilizing continuous 1 MHz ultrasound waves at the power of 0.2 to 2 W. Ultrasound hyperthermia in this work was done on chicken breast. At power 2 W, a temperature difference above 8.5 ° C was recorded, which indicates an error above 50% in this thermography method. It was also shown that a high percentage of temperature changes happen at the beginning of irradiation. The results of this study showed that due to significant temperature differences, understanding of the relation between surface and deep tissue temperature could lead to a better and more accurate prediction.
DOI: 10.17632/j3wkndnscb.1
title: التنمية البشرية والشخصية الوظيفية بالحضر

description: ملخص الدراسة
تطور المجتمعات وتحضرها يعتمد على نظامها الوظيفي ، وسلامة هذا النظام يعتمد على شخصية العاملين فيه فكراً مهارةً وإدارة ؛ بيد أنه يلاحظ نقصاً في الاهتمام ببرامج التنمية البشرية يصحبها قصور في هندسة الشخصية الوظيفية يظهر بوضوح في الحضر، هذه المشكلة هي أساس فكرة الدراسة .
وتهدف الدراسة إلي توصيف طبيعة وتحليل واقع التنمية البشرية وبرامجها والشخصية الوظيفية ومحددات هندستها بالتطبيق علي منظمات التعليم بالحضر .
واستخدمت الدراسة المنهج الوصفي ، واستندت الي النظرية البنائية الوظيفية باعتبار طبيعة أنساق البناء تتبلور بالمحددات الوظيفية لشخصية العاملين فيه ، وخطط برامج التنمية البشرية إحدى مقومات هندسة تلك الشخصية الوظيفية المكونة لأنساقه .
وأجريت دراسة ميدانية لعينة قوامها (200) مفردة من العاملين بالتعليم بمدينتي بدر والسادات في الفترة من 1/7/2017 وحتي 1/5/2018 ؛ باستخدام استبيان ورقي واخر اليكتروني وإرساله واستقبال الاستفسارات علي تطبيقWhatsApp للمراسلة .
وتوصلت الي نتائج منها : يعد النمط العقلاني للشخصية الوظيفية أكثر الأنماط انتشاراً ، ووضوح الدور الواقعي لخطط التنمية البشرية في هندسة الشخصية بالحضر .
............... ********************************* .....................
The development of societies depends on the job system, 
and The integrity of this system depends on the personality of its 
employees, but notes the lack of plans and lake in Engineer 
Personal Job In Urban, This problem is basis of the study idea .
Study aims to research and analyze the nature of the 
functional personality and the reality of human development In 
Urban .
Study use The descriptive approach & based on 
Structural Functional theory , study Survey of opinions by An 
online & self-questionnaire for a sample of (200) of the 
members of education in the cities of Badr and Sadat .
Results : The rational mode of functional personality is the 
most prevalent pattern of urbanization , clarity of the realistic role
of Human development plans in Engineer Personal Job In 
Urban
DOI: 10.17632/493s6f753v.2
title: Human tracking dataset of 3D anatomical landmarks and pose keypoints

description: Image pose detectors in which the pose if defined by anatomical landmarks are rare and scarcely available, which impedes progress in methods of markerless motion capture and analysis applied to biomechanics. Temporal 3D scanning (or 4D scanning) systems allow human bodies in motion to be obtained with high precision, as well as providing a realistic 3D avatar of the scanned person. These two aspects can be used to obtain the pose by different methods. A first method is the location of anatomical landmarks on the mesh surface in a direct way. The other method consists in obtaining virtual images of the mesh from different points of view from which a neural network can estimate the location of body markers.

This dataset associates 2D and 3D human pose keypoints estimated from images with MediaPipe (https://developers.google.com/mediapipe) with the location of their corresponding 3D anatomical landmarks. 

It consists of 567 movement sequences of 71 participants in A-Pose and performing 7 movements (walking, running, squatting, and four types of jump) who were scanned with Move4D (https://www.move4d.net/) to build a collection of 3D human moving meshes with texture and with anatomical correspondence (a total amount of 51,051 poses). From each mesh of that collection, the 3D locations of 53 anatomical landmarks were obtained and 48 images were created using virtual cameras with different perspectives. 2D pose keypoints from those images were obtained using MediaPipe's Pose landmarker model and their corresponding 3D keypoints were calculated by linear triangulation.

There is one folder per participant which contains two Track Row Column (TRC) files and one JSON file per movement sequence. One TRC file is used to store the 3D keypoints triangulated and the other contains the 3D anatomical landmarks. The JSON file stores 2D keypoints and the calibration parameters of the virtual cameras. The anthropometric characteristics of the participants (height, weight, age and sex) are annotated in a single CSV file.

The files are named following the next scheme [CODE]_[MOVEMENT]_[DATA].[EXT], in which:
[CODE]: is the participant code. The last character (F/M) makes reference to the sex ("F" female, "M" male).
[MOVEMENT]: Name of the movement (A-POSE / F-JUMP / GAIT / J-JACKS / JUMP / RUNNING / SQUATS / T-JUMP).
[DATA]: Reference data (AL = anatomical landmarks / KP2D = keypoints in pixels and cameras calibration / KP3D = 3D keypoints obtained by triangulating the 2D keypoints).
[EXT]: file extension (TRC / JSON).

The JSON files contains general sequence data ("subject", "movement", "fps") and a list of annotations ("frame", "camera", "keypoint_scores", "proj_matrix", "proj_matrix_rows", "proj_matrix_cols" ). "keypoint_scores" is vector of size 99 (u1, v1, score1, … u33, v33, score33) where (ui,vi) is the 2D keypoint location and score(i) is its associated score.

The AVI file shows an example of the 3D landmarks contained in both TRC for TDB_001_F.
DOI: 10.17632/552zh82tky.1
title: Computational Thinking Skills among Undergraduate University Students

description: This is the dataset for study about the acceptance of Computational Thinking Skills among University students
DOI: 10.17632/9cr2zcyzfr.1
title: Telgu News Article Dataset

description: The dataset contain total 3,88,195 Telgu language news articles.
DOI: 10.17632/x9rctrkkdg.1
title: Effect of Chondroitin Sulfate on Zwitterionic Lipid Membranes - Additional Data

description: The dataset contains data used in the investigations presented in our publication, as well as video files for the trajectories. The data contained within this repository is intended to be used to reproduce molecular dynamics (MD) results presented, as well as conducting further research using our topologies. More details can be found in the Readme.pdf file in this archive.
DOI: 10.5281/zenodo.10342198
title: Enhancing Recognition and Interpretation of Functional Phenotypic Sequences through Fine-Tuning Pre-Trained Genomic Models

description: Decoding human genomic sequences requires comprehensive analysis of DNA sequence functionality. Through computational and experimental approaches, researchers study the genotype-phenotype relationship and generate important datasets that help unravel complicated genetic blueprints. This study explores the use of deep learning, particularly pre-trained models like DNA_bert_6 and human_gpt2-v1, in interpreting and representing human genome sequences. We meticulously construct multiple datasets linking genotypes and phenotypes to fine-tune pre-trained models for precise DNA sequence classification. Furthermore, we specifically focused on the human endogenous retrovirus (HERV) dataset with commendable classification performance (binary and multi-classification accuracy and F1 values above 0.935 and 0.888, respectively). We evaluate the influence of sequence length on classification results and analyze the impact of feature extraction in the model's hidden layers using the HERV dataset. To further understand the phenotype-specific patterns learned by the model, we perform enrichment, pathogenicity and conservation analyzes of specific motifs in the HERV sequence with high average local representation weight (ALRW) scores. Overall, the generated results further provide numerous benchmark genotype-phenotype datasets for evaluating the performance of genomic models. The findings highlight the potential of large models in learning DNA sequence representations, particularly when utilizing the HERV dataset, and provide valuable insights for future research. This work represents an innovative strategy that combines pre-trained model representations with classical omics methods for analyzing the functionality of genome sequences, fostering cross-fertilization between genomics and artificial intelligence.
DOI: 10.5281/zenodo.10342199
title: Enhancing Recognition and Interpretation of Functional Phenotypic Sequences through Fine-Tuning Pre-Trained Genomic Models

description: Decoding human genomic sequences requires comprehensive analysis of DNA sequence functionality. Through computational and experimental approaches, researchers study the genotype-phenotype relationship and generate important datasets that help unravel complicated genetic blueprints. This study explores the use of deep learning, particularly pre-trained models like DNA_bert_6 and human_gpt2-v1, in interpreting and representing human genome sequences. We meticulously construct multiple datasets linking genotypes and phenotypes to fine-tune pre-trained models for precise DNA sequence classification. Furthermore, we specifically focused on the human endogenous retrovirus (HERV) dataset with commendable classification performance (binary and multi-classification accuracy and F1 values above 0.935 and 0.888, respectively). We evaluate the influence of sequence length on classification results and analyze the impact of feature extraction in the model's hidden layers using the HERV dataset. To further understand the phenotype-specific patterns learned by the model, we perform enrichment, pathogenicity and conservation analyzes of specific motifs in the HERV sequence with high average local representation weight (ALRW) scores. Overall, the generated results further provide numerous benchmark genotype-phenotype datasets for evaluating the performance of genomic models. The findings highlight the potential of large models in learning DNA sequence representations, particularly when utilizing the HERV dataset, and provide valuable insights for future research. This work represents an innovative strategy that combines pre-trained model representations with classical omics methods for analyzing the functionality of genome sequences, fostering cross-fertilization between genomics and artificial intelligence.
DOI: 10.5281/zenodo.10570742
title: YETİŞKİN ÖĞRENMESİ

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN GELİŞİM VE ÖĞRENME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR.
DOI: 10.5281/zenodo.10570743
title: YETİŞKİN ÖĞRENMESİ

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN GELİŞİM VE ÖĞRENME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR.
DOI: 10.5281/zenodo.10570774
title: GELECEĞİN TÜRKİYESİ VE EĞİTİM

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN GELİŞİM VE ÖĞRENME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR
DOI: 10.5281/zenodo.10570775
title: GELECEĞİN TÜRKİYESİ VE EĞİTİM

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN GELİŞİM VE ÖĞRENME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR
DOI: 10.5519/qd.hn9qxoxq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.25067558
title: HiFi reads and assemblies HOR annotation

description: Raw HOR number annotated from HiFi reads. HOR array landscapes of each chromosome from assemblies.
DOI: 10.5281/zenodo.10570791
title: İSLAM HUKUKUNDA KISAS

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN ÖĞRETİMDE PLANLAMA VE DEĞERLENDİRME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR.
DOI: 10.5281/zenodo.10570792
title: İSLAM HUKUKUNDA KISAS

description: KATILDIĞIMIZ DOKTORA FORMASYON PROGRAMINDA BULUNAN ÖĞRETİMDE PLANLAMA VE DEĞERLENDİRME DERSİNDE HAZIRLANAN ÇALIŞMALARDIR.
DOI: 10.21227/6rc9-sk24
title: Deep reinforcement learning-based anti-interference control of lower limb exoskeleton

description: In this paper, we propose a dual-loop control strategy to address the problems of the interference by the human-machine interaction of the lower limb exoskeleton movement. The outer ring adopts admittance control and the human-machine interaction torque is estimated by the generalized momentum observer based on Kalman filter. The inner ring adopts PID control based on DDPG.
DOI: 10.5281/zenodo.10568720
title: GFTL Main Code
title: GFTL Main Code for all stages
title: Subset Dataset CBIS-DDSM-GFTL-01
title: Subset Dataset CBIS-DDSM-GFTL-02
DOI: 10.5281/zenodo.10568721
title: GFTL Main Code
title: GFTL Main Code for all stages
title: Subset Dataset CBIS-DDSM-GFTL-01
title: Subset Dataset CBIS-DDSM-GFTL-02
DOI: 10.6084/m9.figshare.22731122.v1
title: Robust continuous time crystal in an electron-nuclear spin system

description: The data contain folders for all types of measurements: pump and probe laser powers, strength and angle of magnetic field, sample temperature, probe wavelength. Each folder has a single column of smoothed and downsampled data for the analysis, a folder with RAW data with two columns: time and voltage value proportional to the Faraday rotation angle. Additional folder with smoothed and downsampled data is also present.
DOI: 10.6084/m9.figshare.22731122
title: Robust continuous time crystal in an electron-nuclear spin system

description: The data contain folders for all types of measurements: pump and probe laser powers, strength and angle of magnetic field, sample temperature, probe wavelength. Each folder has a single column of smoothed and downsampled data for the analysis, a folder with RAW data with two columns: time and voltage value proportional to the Faraday rotation angle. Additional folder with smoothed and downsampled data is also present.
DOI: 10.6084/m9.figshare.22233820
title: Sub-cycle multidimensional spectroscopy of strongly correlated materials

description: I attached the analytical derivation of the the observable presented in the manuscript
DOI: 10.6084/m9.figshare.22233820.v1
title: Sub-cycle multidimensional spectroscopy of strongly correlated materials

description: I attached the analytical derivation of the the observable presented in the manuscript
DOI: 10.15468/dl.sbx9a3
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melastoma denticulatum Labill."
 ]
}

 The dataset includes 434 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051796-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10892731
title: spatula_clypeata_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10892732
title: spatula_clypeata_spades_01.fasta.gz

description: .
DOI: 10.15468/dl.nxhq35
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mallotus coudercii (Gagnep.) Airy Shaw"
 ]
}

 The dataset includes 51 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051798-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usv8rb
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maerua cafra (Burch. ex DC.) Pax"
 ]
}

 The dataset includes 741 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051797-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azyaxy
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Merremia sagittoides (Courchet & Gagnep.) Staples"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051800-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw4tv3
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago biflora (Griseb.) E.Small"
 ]
}

 The dataset includes 77 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051799-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.