Scientific Data最新文献

A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments. 一个在杂乱环境中分类分割建筑和拆除垃圾的基准数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05243-x

Diani Sirimewan, Sanuwani Dayarathna, Sudharshan Raman, Yu Bai, Mehrdad Arashpour

{"title":"A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments.","authors":"Diani Sirimewan, Sanuwani Dayarathna, Sudharshan Raman, Yu Bai, Mehrdad Arashpour","doi":"10.1038/s41597-025-05243-x","DOIUrl":"https://doi.org/10.1038/s41597-025-05243-x","url":null,"abstract":"Efficient management of construction and demolition waste (CDW) is essential for enhancing resource recovery. The lack of publicly available, high-quality datasets for waste recognition limits the development and adoption of automated waste handling solutions. To facilitate data sharing and reuse, this study introduces 'CDW-Seg', a benchmark dataset for class-wise segmentation of CDW. The dataset comprises high-resolution images captured at authentic construction sites, featuring skip bins filled with a diverse mixture of CDW materials in-the-wild. It includes 5,413 manually annotated objects across ten categories: concrete, fill dirt, timber, hard plastic, soft plastic, steel, fabric, cardboard, plasterboard, and the skip bin, representing a total of 2,492,021,189 pixels. Each object was meticulously annotated through semantic segmentation, providing reliable ground-truth labels. To demonstrate the applicability of the dataset, an adapter-based fine-tuning approach was implemented using a hierarchical Vision Transformer, ensuring computational efficiency suitable for deployment in automated waste handling scenarios. The CDW-Seg has been made publicly accessible to promote data sharing, facilitate further research, and support the development of automated solutions for resource recovery.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"885"},"PeriodicalIF":5.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Chromosome-level Haploid Assembly of Cannabis sativa L. cv. Pink Pepper. 更正：大麻（Cannabis sativa L. cv.）染色体水平单倍体组装。粉红胡椒。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05259-3

Byeong-Ryeol Ryu, Gyeong-Ju Gim, Ye-Rim Shin, Min-Ji Kang, Min-Jun Kim, Tae-Hyung Kwon, Young-Seok Lim, Sang-Hyuck Park, Jung-Dae Lim

引用次数: 0

GODEEEP-hydro: Historical and projected power system ready hydropower data for the United States. godeep -hydro：美国历史和预测的电力系统水电数据。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05097-3

Cameron Bracken, Youngjun Son, Daniel Broman, Nathalie Voisin

引用次数: 0

Quality assured spatial dataset of wildfire containment firelines and engagement outcomes 2017 to 2024. 2017 - 2024年有质量保证的野火控制火线空间数据集和参与成果。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05208-0

Alexander Arkowitz, Scott M Ritter, Matthew P Thompson, Jesse D Young, Brad Pietruszka, David E Calkin

{"title":"Quality assured spatial dataset of wildfire containment firelines and engagement outcomes 2017 to 2024.","authors":"Alexander Arkowitz, Scott M Ritter, Matthew P Thompson, Jesse D Young, Brad Pietruszka, David E Calkin","doi":"10.1038/s41597-025-05208-0","DOIUrl":"https://doi.org/10.1038/s41597-025-05208-0","url":null,"abstract":"The escalation of wildfires in the USA, coupled with rising firefighting costs and decreasing workforce capacity, underscores the critical need to evaluate the efficiency and effectiveness of containment measures. However, the existing spatial data that records the locations and types of containment measures and wildfire perimeters contains numerous errors and redundancies. This paper presents a comprehensive fireline Quality Assurance and Quality Control dataset developed from the wildland firefighting operations data reported in the National Interagency Fire Center National Incident Feature Service. This improved dataset contains reliable spatial locations for fireline built during suppression operations, the associated verified fire perimeters, and identifies where containment was success or failure for fires greater than 1000 acres from 2017-2024. The improved final dataset represents critical information that was previously unavailable for assessing the success of fireline operations and incident management resource-use efficiency. The lessons learned from analyses utilizing this dataset are critical for improving the efficiency and effectiveness of the United States wildfire management system.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"897"},"PeriodicalIF":5.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Skeletal trait measurements for thousands of bird species. 数千种鸟类的骨骼特征测量。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05234-y

Brian C Weeks, Zhizhuo Zhou, Charlotte M Probst, Jacob S Berv, Bruce O'Brien, Brett W Benz, Heather R Skeen, Mark Ziebell, Louise Bodt, David F Fouhey

引用次数: 0

A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch. 使用Galaxy Watch在半自然环境下收集的PPG信号数据集。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05152-z

Sangjun Park, Dejiang Zheng, Uichin Lee

{"title":"A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch.","authors":"Sangjun Park, Dejiang Zheng, Uichin Lee","doi":"10.1038/s41597-025-05152-z","DOIUrl":"https://doi.org/10.1038/s41597-025-05152-z","url":null,"abstract":"The widespread adoption of consumer-grade wearable devices, such as Galaxy Watch, has revolutionized personal health monitoring as they enable continuous and non-invasive measurement of key cardiovascular indicators through photoplethysmography (PPG) sensors. However, existing datasets primarily rely on research-grade devices, limiting the applicability of consumer-grade wearables in real-world conditions. To address this gap, this study presents GalaxyPPG, a dataset collected from 24 participants that includes wrist-worn PPG signals from a Galaxy Watch 5 and an Empatica E4, alongside chest-worn ECG data from a Polar H10. Data were captured during diverse activities in a semi-naturalistic setting, providing insights into the sensing performance of consumer-grade wearables under motion- or stress-inducing activities. This dataset is designed to advance applications of PPG signals, such as HR tracking with diverse physical activities and HRV monitoring for stress detection. Additionally, we offer an open-source toolkit for data collection and analysis using Samsung Galaxy Watch, fostering reproducibility and further research leveraging this toolkit.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"892"},"PeriodicalIF":5.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transcriptome analysis of testes gene expression to explore genetic diversity of Mangalica and Camborough boars. 曼加利加和坎伯勒公猪睾丸基因表达转录组分析探讨遗传多样性。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05196-1

Keigo Yamane, Sangwoo Kim, Akari Koide, Erina Yoneda, Mitsunori Kayano, Yuki Muranishi

引用次数: 0

Chromosome-level genome assembly of scalloped spiny lobster Panulirus homarus homarus. 扇贝龙虾的染色体水平基因组组装。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05253-9

Dongfang Sun, Jianjian Lv, Baoquan Gao, Shaoting Jia, Ping Liu, Jian Li, Jitao Li, Xianyun Ren

{"title":"Chromosome-level genome assembly of scalloped spiny lobster Panulirus homarus homarus.","authors":"Dongfang Sun, Jianjian Lv, Baoquan Gao, Shaoting Jia, Ping Liu, Jian Li, Jitao Li, Xianyun Ren","doi":"10.1038/s41597-025-05253-9","DOIUrl":"https://doi.org/10.1038/s41597-025-05253-9","url":null,"abstract":"Lobsters, aquatic organisms of significant economic value, hold an important position in the global aquaculture and fisheries industries. However, due to overfishing and ecological change, the populations of certain lobster species have declined dramatically, prompting conservation efforts in various countries. However, limited genomics research has restricted our capacity to conserve and exploit lobster germplasm resources. Here, we present a chromosome-level reference genome for Panulirus homarus homarus constructed using PacBio long-read sequencing and Hi-C data. The genome assembly size was 2.61 Gb, with a contig N50 of 5.43 Mb, and a scaffold N50 of 36.69 Mb. The assembled sequences were anchored to 73 chromosomes, covering 96.05% of the total genome. A total of 25,580 protein-coding genes were predicted, and 99.98% of the genes were functionally annotated using various protein databases. The high-quality genome assembly provides a valuable resource for studying the biology and evolutionary history of P. h. homarus, and could facilitate sustainable resource management, aquaculture, and conservation of the species.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"900"},"PeriodicalIF":5.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chromosome-level genome assembly of Sambus kanssuensis (Coleoptera: Buprestidae). 甘肃野田鼠染色体水平的基因组组装（鞘翅目：野田鼠科）。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05271-7

Zhonghua Wei, Yunchun Li, Yingying Li, Jiuzhou Liu, Shuangmei Ding, Xulong Chen, Aimin Shi, Ding Yang

引用次数: 0

A global urban road network self-adaptive simplification workflow from traffic to spatial representation. 一种从交通到空间表征的全球城市道路网络自适应简化工作流。

IF 5.8 2区综合性期刊

Scientific Data Pub Date : 2025-05-28 DOI: 10.1038/s41597-025-05164-9

Xinzhuo Zhao, Jintu Xu, Junjie Yang, Jin Duan

{"title":"A global urban road network self-adaptive simplification workflow from traffic to spatial representation.","authors":"Xinzhuo Zhao, Jintu Xu, Junjie Yang, Jin Duan","doi":"10.1038/s41597-025-05164-9","DOIUrl":"https://doi.org/10.1038/s41597-025-05164-9","url":null,"abstract":"Urban road network is crucial for understanding and revealing the spatial logic of urban organization and evolution. However, existing urban road network datasets like OpenStreetMap are designed for traffic studies, treating each lane as a distinct spatial unit of mobility, which may not align with urban studies considering each road as an integration space for social and cultural dynamics. This study established a novel workflow to self-adaptively transform the global urban road network from traffic representation to spatial representation and provides simplified urban road network data of 35 globally representative cities. Our workflow, comprising six critical stages, is anchored on the segment divergence from their surroundings to guide aggregation decisions, effectively mitigating the risks of over-aggregation and under-aggregation against the diversity of global urban backgrounds. This workflow significantly reduces the duplicated segments of roads from an average of 31.2% to 3.6% in total, performing consistently across diverse countries and continents. This dataset is expected to become a robust data layer for urban socio-economic modelling and GeoAI development.","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"883"},"PeriodicalIF":5.8,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144174740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0