Scientific Data最新文献_第10页

Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy. 欧洲生境机器人监测：意大利附件一生境植物检测的标记数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05182-7

Giovanni Di Lorenzo, Franco Angelini, Michele Pierallini, Simone Tolomei, Davide De Benedittis, Agnese Denaro, Giovanni Rivieccio, Maria Carmela Caria, Federica Bonini, Anna Grassi, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Simona Maccherini, Barbara Valle, Marina Serena Borgatti, Simonetta Bagella, Daniela Gigante, Claudia Angiolini, Marco Caccianiga, Manolo Garabini

{"title":"Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy.","authors":"Giovanni Di Lorenzo, Franco Angelini, Michele Pierallini, Simone Tolomei, Davide De Benedittis, Agnese Denaro, Giovanni Rivieccio, Maria Carmela Caria, Federica Bonini, Anna Grassi, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Simona Maccherini, Barbara Valle, Marina Serena Borgatti, Simonetta Bagella, Daniela Gigante, Claudia Angiolini, Marco Caccianiga, Manolo Garabini","doi":"10.1038/s41597-025-05182-7","DOIUrl":"10.1038/s41597-025-05182-7","url":null,"abstract":"The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. This dataset is based on images captured using multiple different hardware including quadrupedal robot ANYmal C, referring to ecologically important species to assess the presence and conservation status in Annex I habitats 2110, 2120, 6210*, 8110, 8120, and 9210*. Plant scientists and robotic engineers gathered the data in key Italian protected areas and labeled it using YOLOtxt format. Researchers in vegetation science, habitat monitoring, robotics, machine learning, and biodiversity conservation can access the dataset through Zenodo. The ultimate goal of this collaborative effort was to create a dataset that can be used to train artificial intelligence models to assess parameters that enable robotic habitat monitoring. The availability of this dataset may enhance future studies and conservation initiatives for Annex I habitats inside and outside the Natura 2000 network. The dataset and the methods used to obtain it are fully described, highlighting the significance of interdisciplinary cooperation in habitat monitoring.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"822"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM). SynthSoM：用于机器联觉（SoM）的合成智能多模态感知通信数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05065-x

Xiang Cheng, Ziwei Huang, Yong Yu, Lu Bai, Mingran Sun, Zengrui Han, Ruide Zhang, Sijiang Li

{"title":"SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM).","authors":"Xiang Cheng, Ziwei Huang, Yong Yu, Lu Bai, Mingran Sun, Zengrui Han, Ruide Zhang, Sijiang Li","doi":"10.1038/s41597-025-05065-x","DOIUrl":"10.1038/s41597-025-05065-x","url":null,"abstract":"Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-modal sensory dataset is developed. The developed platform integrates three high-precision software, i.e., AirSim, WaveFarer, and Wireless InSite, and further achieves in-depth integration and precise alignment of them. Based on the developed platform, a new synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM), named SynthSoM, is proposed. The SynthSoM dataset contains various air-ground multi-link cooperative scenarios with comprehensive conditions, including multiple weather conditions, times of the day, intelligent agent densities, frequency bands, and antenna types. The SynthSoM dataset encompasses multiple data modalities, including radio-frequency (RF) channel large-scale and small-scale fading data, RF millimeter wave (mmWave) radar sensory data, and non-RF sensory data, e.g., RGB images, depth maps, and light detection and ranging (LiDAR) point clouds. The quality of SynthSoM dataset is validated via statistics-based qualitative inspection and evaluation metrics through machine learning (ML) via real-world measurements. The SynthSoM dataset is open-sourced and provides consistent data for cross-comparing SoM-related algorithms.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"819"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery. 胆囊instanceseg：用于腹腔镜手术的工具实例分割数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05163-w

Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren

{"title":"CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery.","authors":"Oluwatosin Alabi, Ko Ko Zayar Toe, Zijian Zhou, Charlie Budd, Nicholas Raison, Miaojing Shi, Tom Vercauteren","doi":"10.1038/s41597-025-05163-w","DOIUrl":"10.1038/s41597-025-05163-w","url":null,"abstract":"In laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations for tool instance segmentation. Additionally, the majority of standard datasets for tool segmentation are derived from porcine(pig) surgeries. To address this gap, we introduce CholecInstanceSeg, the largest open-access tool instance segmentation dataset to date. Derived from the existing CholecT50 and Cholec80 datasets, CholecInstanceSeg provides novel annotations for laparoscopic cholecystectomy procedures in patients. Our dataset comprises 41.9k annotated frames extracted from 85 clinical procedures and 64.4k tool instances, each labelled with semantic masks and instance IDs. To ensure the reliability of our annotations, we perform extensive quality control, conduct label agreement statistics, and benchmark the segmentation results with various instance segmentation baselines. CholecInstanceSeg aims to advance the field by offering a comprehensive and high-quality open-access dataset for the development and evaluation of tool instance segmentation algorithms.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"825"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Le Petit Prince (LPP) multi-talker: Naturalistic 7 T fMRI and EEG dataset. 小王子（LPP）多说话者：自然的7t fMRI和EEG数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05158-7

Qixuan Wang, Qian Zhou, Zhengwu Ma, Nan Wang, Tianyu Zhang, Yaoyao Fu, Jixing Li

{"title":"Le Petit Prince (LPP) multi-talker: Naturalistic 7 T fMRI and EEG dataset.","authors":"Qixuan Wang, Qian Zhou, Zhengwu Ma, Nan Wang, Tianyu Zhang, Yaoyao Fu, Jixing Li","doi":"10.1038/s41597-025-05158-7","DOIUrl":"10.1038/s41597-025-05158-7","url":null,"abstract":"Prior neuroimaging datasets using naturalistic listening paradigms have predominantly focused on single-talker scenarios. While these studies have been invaluable for advancing our understanding of speech and language processing in the brain, they do not capture the complexities of real-world multi-talker environments. Here, we introduce the \"Le Petit Prince (LPP) Multi-talker Dataset\", a high-quality, naturalistic neuroimaging dataset featuring 40 minutes of electroencephalogram (EEG) and 7 T functional magnetic resonance imaging (fMRI) recordings from 26 native Mandarin Chinese speakers as they listened to both single-talker and multi-talker speech streams. Validation analyses conducted on both EEG and fMRI data demonstrate the dataset's high quality and robustness. Additionally, the dataset includes detailed transcriptions and prosodic and linguistic annotations of the speech stimuli, enabling fine-grained analyses of neural responses to specific linguistic and acoustic features. The LPP Multi-talker Dataset is well-suited for addressing a wide range of research questions in cognitive neuroscience, including selective attention, auditory stream segregation, and working memory processes in naturalistic listening contexts.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"829"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment. 上肢评估生物标志物研究的标准化到达任务的脑电图-肌电图数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05042-4

Florencia Garro, Elena Fenoglio, Indya Ceroni, Inna Forsiuk, Michele Canepa, Michael Mozzon, Agnese Bruschi, Francesco Zippo, Matteo Laffranchi, Lorenzo De Michieli, Stefano Buccelli, Michela Chiappalone, Marianna Semprini

{"title":"An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment.","authors":"Florencia Garro, Elena Fenoglio, Indya Ceroni, Inna Forsiuk, Michele Canepa, Michael Mozzon, Agnese Bruschi, Francesco Zippo, Matteo Laffranchi, Lorenzo De Michieli, Stefano Buccelli, Michela Chiappalone, Marianna Semprini","doi":"10.1038/s41597-025-05042-4","DOIUrl":"10.1038/s41597-025-05042-4","url":null,"abstract":"This work describes a dataset containing high-density EEG (hd-EEG) and surface electromiography (sEMG) to capture neuromechanical responses during a reaching task with and without the assistance of an upper-limb exoskeleton. It was designed to explore electrophysiological biomarkers for assessing assistive technologies. Data were collected from 40 healthy participants performing 10 repetitions of three standardized reaching tasks. A custom-designed touch panel was built to standardize and simulate natural upper-limb movements relevant to daily activities. The dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard, in alignment with FAIR principles. To provide an overview of data quality, we present subject-level analyses of event-related spectral perturbation (ERSP), inter-trial coherence (ITC), and event-related synchronization/desynchronization (ERS/ERD) for EEG, along with time- and frequency- domain decomposition for EMG. Beyond providing a methodology for evaluating assistive technologies, this dataset can be used for biosignal processing research, particularly for artifact removal and denoising techniques. It is also valuable for machine learning-based feature extraction, classification, and studying neuromechanical modulations during goal-oriented movements. Additionally, it can support research on human-robot interaction in non-clinical settings, hybrid brain-computer interfaces (BCIs) for robotic control and biomechanical modeling of upper-limb movements.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"831"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Haplotype-resolved chromosome-level genome sequence of Elsholtzia splendens (Nakai ex F.Maek.). 锦葵单倍型染色体水平基因组序列（Nakai ex . maek .）。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05214-2

Sung Jin Moon, Sae Hyun Lee, Woo Hyun Sim, Han Suk Choi, Ju Seok Lee, Sangrea Shim

{"title":"Haplotype-resolved chromosome-level genome sequence of Elsholtzia splendens (Nakai ex F.Maek.).","authors":"Sung Jin Moon, Sae Hyun Lee, Woo Hyun Sim, Han Suk Choi, Ju Seok Lee, Sangrea Shim","doi":"10.1038/s41597-025-05214-2","DOIUrl":"10.1038/s41597-025-05214-2","url":null,"abstract":"Elsholtzia splendens, a perennial herb native to East Asia, is valued for its ornamental and medicinal uses, particularly in treating inflammatory and febrile conditions. Recent studies have highlighted its antibacterial, anti-inflammatory, antidepressant, antithrombotic, and lipid-lowering properties of its compounds. Additionally, E. splendens shows potential for phytoremediation owing to its ability to hyperaccumulate copper (Cu), lead (Pb), zinc (Zn), and cadmium (Cd). However, its role in remediation conflicts with its medicinal use because of the risk of heavy metal accumulation. Genome sequencing will be key to boosting beneficial compound production and reducing heavy metal risks. In this study, we generated a high-resolution, haplotype-resolved, chromosome-scale genome sequence of E. splendens using PacBio Revio long-read, Illumina short-read, and Hi-C sequencing technologies. The haplotype genome assemblies, spanned 275.4 and 265.0 Mbp with a scaffold N50 of 33.9 and 33.8 Mbp for haplotype 1 and 2, respectively. This assembly provides valuable insights into medicinal compound biosynthesis and supports genetic conservation efforts, facilitating future genetic and biotechnological applications of E. splendens for medicinal and ecological uses.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"827"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092835/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brick Kiln Dataset for Pakistan's IGP Region Using AI. 使用AI的巴基斯坦IGP地区砖窑数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05148-9

Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha, Syeda Eman Fatima, Hassan Aftab Sheikh

{"title":"Brick Kiln Dataset for Pakistan's IGP Region Using AI.","authors":"Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha, Syeda Eman Fatima, Hassan Aftab Sheikh","doi":"10.1038/s41597-025-05148-9","DOIUrl":"10.1038/s41597-025-05148-9","url":null,"abstract":"Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution sources. To address this, we present a two-fold AI approach that combines low-resolution Sentinel-2 and high-resolution imagery to map brick kiln locations. Our process begins with a low-resolution analysis, followed by a post-processing step to reduce false positives, minimizing the need for extensive high-resolution imagery. This analysis initially identified 20,000 potential brick kilns, with high-resolution validation confirming around 11,000 kilns. The dataset also distinguishes between Fixed Chimney and Zigzag kilns, enabling more accurate pollution estimates for each type. Our approach demonstrates how combining satellite imagery with AI can effectively detect specific polluting sources. This dataset provides regulators with insights into brick kiln pollution, supporting interventions for unregistered kilns and actions during high pollution episodes.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"830"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A chromosome-level genome assembly of Ficus benjamina, a fig tree with great ecological and ornamental value. 极具生态观赏价值的无花果树本杰明榕染色体水平的基因组组装。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05155-w

Shuai Liao, Zhen Zhang, Chenxuan Yang, Elliot M Gardner, Yanqiong Peng, Yongmei Xiong, Seping Dai, Yunfei Deng

引用次数: 0

Data on yield and soil parameters of three diverse tilled long-term experimental sites in Austria (2018-2022). 奥地利3个不同耕作方式长期试验点产量及土壤参数数据（2018-2022）

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-20 DOI: 10.1038/s41597-025-05086-6

Alexandra Tiefenbacher, Andreas Schaumberger, Hans-Peter Kaul, Emanuel Zillner, Andreas Hans, Andreas Surböck, Gabriele Gollner, Jürgen Friedel, Pia Euteneuer, Megan Asanza-Grabenbauer, Claudine Egger, Veronika Gaube, Johannes Peterseil, Taru Sandén, Theresa Strobl, Heide Spiegel

{"title":"Data on yield and soil parameters of three diverse tilled long-term experimental sites in Austria (2018-2022).","authors":"Alexandra Tiefenbacher, Andreas Schaumberger, Hans-Peter Kaul, Emanuel Zillner, Andreas Hans, Andreas Surböck, Gabriele Gollner, Jürgen Friedel, Pia Euteneuer, Megan Asanza-Grabenbauer, Claudine Egger, Veronika Gaube, Johannes Peterseil, Taru Sandén, Theresa Strobl, Heide Spiegel","doi":"10.1038/s41597-025-05086-6","DOIUrl":"10.1038/s41597-025-05086-6","url":null,"abstract":"The agroecological \"Marchfeld\" cluster assessed the impact of tillage on primary production (yield) and selected soil parameters at three sites (two conventionally and one organically managed) from 2018-2022. The data were uniformly compiled in a data set. The examined factors were no, minimum (5-8 cm), reduced (10-15 cm) and conventional (25-30 cm) tillage. All measured parameters were documented in a state-of-the-art quality control approach and stored in the data set. The long-term experimental (LTER) sites have been operating for a long time (from 6-34 years), so that our parameters show accumulated historical developments that influence the present. The data is available for (re)use by others (scientists, stakeholders, etc.) on Zenodo for meta-analyses, process modelling and other environmental studies.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"821"},"PeriodicalIF":5.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A cell type-specific expression atlas of small and total RNA in the heart after myocardial infarction. 心肌梗死后心脏小RNA和总RNA细胞类型特异性表达图谱。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-19 DOI: 10.1038/s41597-025-05061-1

Ranjan Kumar Maji, Ariane Fischer, Eva-Maria Rogg, Melanie Möller, Gilles Gasparoni, Martin Simon, Stefanie Dimmeler, Marcel H Schulz

{"title":"A cell type-specific expression atlas of small and total RNA in the heart after myocardial infarction.","authors":"Ranjan Kumar Maji, Ariane Fischer, Eva-Maria Rogg, Melanie Möller, Gilles Gasparoni, Martin Simon, Stefanie Dimmeler, Marcel H Schulz","doi":"10.1038/s41597-025-05061-1","DOIUrl":"10.1038/s41597-025-05061-1","url":null,"abstract":"Acute myocardial infarction (AMI) is a leading cause of mortality worldwide. MicroRNAs (miRNAs), among other small non-coding RNAs, shape the transcriptome and control cellular functions. Although single-cell technologies are now available to study myocardial ischemia response, the study of small RNA regulation is limited by depth of expression, capture efficiency and lack of full coverage of transcripts. In addition, the kinetic expression of miRNAs is unknown. Using paired small and total RNA sequencing, we built an expression atlas to study the temporal dynamics of miRNAs and genes in four major heart cell types after AMI. Expression dynamics reveal enriched functions highlighting cell type-specific AMI stress responses. Many deregulated mouse genes after AMI overlap with known human cardiovascular disease genes. The dataset is highly valuable for additional research on small and long non-coding RNAs, such as regulation of RNA variants by splicing or alternative ORFs. All in all, the RNA expression atlas provides a useful resource to study different roles of RNAs in major cell types of the heart after AMI.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"816"},"PeriodicalIF":5.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0