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Data期刊生物栏目数据文章合集 I | MDPI 编辑荐读

期刊名:Data

期刊主页:https://www.mdpi.com/journal/data

主编:Prof. Dr. Jamal Jokar Arsanjani, Aalborg University Copenhagen, Denmark

期刊介绍: Data (ISSN 2306-5729, IF 2.4, CiteScore 5.4) 主要发表数据科学领域相关论文,旨在提高数据透明度和可重用性。期刊发表范围涵盖多学科数据集和描述,数据处理方法及数据应用等。自2016年创刊以来,Data 已被Scopus, ESCI, Ei Compendex, Inspec, DOAJ等权威数据库收录。

本清单收录 MDPI Data 期刊“Computational Biology, Bioinformatics, and Biomedical Data Science”栏目的优秀数据文章,主题涉及医学图像和COVID等热门领域,文中所展示的数据集均已提交至线上公开数据库平台,详情参考文中数据可用性声明。希望这些优秀的文章能为您的研究带来启发,欢迎阅读!

1. SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

SparrKULee:鲁汶大学言语诱发听觉反应数据库—包含 85 名参与者的脑电图数据

https://www.mdpi.com/2306-5729/9/8/94

Accou, B.; Bollens, L.; Gillis, M.; Verheijen, W.; Van hamme, H.; Francart, T. SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. Data 2024, 9, 94. https://doi.org/10.3390/data9080094

2. Training Datasets for Epilepsy Analysis: Preprocessing and Feature Extraction from Electroencephalography Time Series

癫痫分析专用训练数据集:脑电图时间序列的预处理和特征提取

https://www.mdpi.com/2306-5729/9/5/61

Riccio, C.; Martone, A.; Zazzaro, G.; Pavone, L. Training Datasets for Epilepsy Analysis: Preprocessing and Feature Extraction from Electroencephalography Time Series. Data 2024, 9, 61. https://doi.org/10.3390/data9050061

Dataset: https://doi.org/10.5281/zenodo.10808054

3. A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG

基于光刺激脑电图构建的头皮脑电补充数据集:含阿尔茨海默病、额颞叶痴呆受试者及健康对照人群

http://www.mdpi.com/2306-5729/10/5/64

Ntetska, A.; Miltiadous, A.; Tsipouras, M.G.; Tzimourta, K.D.; Afrantou, T.; Ioannidis, P.; Tsalikakis, D.G.; Sakkas, K.; Oikonomou, E.D.; Grigoriadis, N.; et al. A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG. Data 2025, 10, 64. https://doi.org/10.3390/data10050064

Dataset: 10.18112/openneuro.ds006036.v1.0.2

4. EEG and Physiological Signals Dataset from Participants during Traditional and Partially Immersive Learning Experiences in Humanities

人文领域传统学习与半沉浸式学习场景下受试者的脑电图及生理信号数据集

http://www.mdpi.com/2306-5729/9/5/68

Romo-De León, R.; Cham-Pérez, M.L.L.; Elizondo-Villegas, V.A.; Villarreal-Villarreal, A.; Ortiz-Espinoza, A.A.; Vélez-Saboyá, C.S.; Lozoya-Santos, J.d.J.; Cebral-Loureda, M.; Ramírez-Moreno, M.A. EEG and Physiological Signals Dataset from Participants during Traditional and Partially Immersive Learning Experiences in Humanities. Data 2024, 9, 68. https://doi.org/10.3390/data9050068

Dataset: https://doi.org/10.6084/m9.figshare.24777084

5. Cholec80-Boxes: Bounding Box Labelling Data for Surgical Tools in Cholecystectomy Images

Cholec80-Boxes:胆囊切除手术图像中手术器械的边界框标注数据

http://www.mdpi.com/2306-5729/10/1/7

Abdulbaki Alshirbaji, T.; Jalal, N.A.; Arabian, H.; Battistel, A.; Docherty, P.D.; ElMoaqet, H.; Neumuth, T.; Moeller, K. Cholec80-Boxes: Bounding Box Labelling Data for Surgical Tools in Cholecystectomy Images. Data 2025, 10, 7. https://doi.org/10.3390/data10010007

Dataset: https://doi.org/10.5281/zenodo.13170928

6. OSBA: An Open Neonatal Neuroimaging Atlas and Template for Spina Bifida Aperta

OSBA:开放性脊柱裂新生儿神经影像图谱与标准模板

https://www.mdpi.com/2306-5729/9/9/107

Speckert, A.; Ji, H.; Payette, K.; Grehten, P.; Kottke, R.; Ackermann, S.; Padden, B.; Mazzone, L.; Moehrlen, U.; Spina Bifida Study Group Zurich; et al. OSBA: An Open Neonatal Neuroimaging Atlas and Template for Spina Bifida Aperta. Data 2024, 9, 107. https://doi.org/10.3390/data9090107

Dataset: The data presented in this study are available on Zenodo at the request of the corresponding author due to restrictions imposed to ensure compliance with research ethics and data privacy regulations

7. Genome-Scale DNA Methylome and Transcriptome Profiles of Prostate Cancer Recurrence After Prostatectomy

前列腺癌根治术后复发的全基因组 DNA 甲基化组与转录组图谱

http://www.mdpi.com/2306-5729/9/12/150

Smith, J.; Ajithkumar, P.; Wilkinson, E.J.; Dutta, A.; Vasantharajan, S.S.; Yee, A.; Gimenez, G.; Subramaniam, R.M.; Lau, M.; Zarrabi, A.D.; et al. Genome-Scale DNA Methylome and Transcriptome Profiles of Prostate Cancer Recurrence After Prostatectomy. Data 2024, 9, 150. https://doi.org/10.3390/data9120150

Dataset: MethylationEPIC v2.0 array and RNA-Seq data for this study can be found in the GEO database under accession number GSE282574.

8. MCR-SL: A Multimodal, Context-Rich Skin Lesion Dataset for Skin Cancer Diagnosis

MCR-SL:面向皮肤癌诊断的多模态、高语境皮肤病灶数据集

http://www.mdpi.com/2306-5729/10/10/166

Castro-Fernandez, M.; Schopf, T.R.; Castaño-Gonzalez, I.; Roque-Quintana, B.; Kirchesch, H.; Ortega, S.; Fabelo, H.; Godtliebsen, F.; Granja, C.; Callico, G.M. MCR-SL: A Multimodal, Context-Rich Skin Lesion Dataset for Skin Cancer Diagnosis. Data 2025, 10, 166. https://doi.org/10.3390/data10100166

Dataset: https://zenodo.org/records/17306338

9. Comprehensive Dataset on Pre-SARS-CoV-2 Infection Sports-Related Physical Activity Levels, Disease Severity, and Treatment Outcomes: Insights and Implications for COVID-19 Management

关于SARS-CoV-2感染前运动相关身体活动水平、疾病严重程度和治疗结果的综合数据集:对COVID-19管理的启示和意义

https://www.mdpi.com/2306-5729/9/2/23

Bourdas, D.I.; Bakirtzoglou, P.; Travlos, A.K.; Andrianopoulos, V.; Zacharakis, E. Comprehensive Dataset on Pre-SARS-CoV-2 Infection Sports-Related Physical Activity Levels, Disease Severity, and Treatment Outcomes: Insights and Implications for COVID-19 Management. Data 2024, 9, 23. https://doi.org/10.3390/data9020023

Dataset: See supplementary materials

10. Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort

新冠长期症状中神经认知障碍和身体症状的开放数据集:一项为期六个月的感染后队列研究

http://www.mdpi.com/2306-5729/10/12/198

Pour Mohammadi, S.; Mercado Romero, F.; Noroozi Fashkhami, M.; Peláez, I. Open Dataset on Neurocognitive Complaints and Physical Symptoms in Long COVID: A Six-Month Post-Infection Cohort. Data 2025, 10, 198. https://doi.org/10.3390/data10120198

Dataset: https://osf.io/85rxq/overview?view_only=ee8e941ba2c24f31b2c6fe0efebfc4f2

征稿特刊

Benchmarking Datasets in Bioinformatics, 3rd Edition

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2025 Impact Factor:2.4

2025 CiteScore:5.4

Time to First Decision:19.2 Days

Acceptance to Publication:3.8 Days

 
 
 
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