Transcriptome dataset to investigate the effect of deep seawater on the gene expression and functional compounds of leaves of Ligularia stenocephalaNCBI. by Dewi Komang Anggita, Bimpe Suliyat Azeez, Se-Jin Oh, Jong-Kuk Na

“…These data provide invaluable information not only for understanding genes responsive to deep seawater application in crop cultivation but also for determining the optimal dilution ratio of DSW without causing salt stress on crops by examining expression profiles of stress-responsive genes.…”
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LipBengal: Pioneering Bengali lip-reading dataset for pronunciation mapping through lip gesturesHugging Face by Md. Tanvir Rahman Sahed, Md. Tanjil Islam Aronno, Hussain Nyeem, Md. Abdul Wahed, Tashrif Ahsan, R Rafiul Islam, Tareque Bashar Ovi, Manab Kumar Kundu, Jane Alam Sadeef

“…LipBengal fills this gap by offering a pioneering dataset tailored for Bengali lip-reading, comprising visual data from 150 speakers across 54 classes, encompassing Bengali phonemes, alphabets, and symbols. …”
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Classification of oil palm tree conditions from UAV imagery using the YOLO object detector by Aakash Thapa, Teerayut Horanont, Bipul Neupane, Jirawan Klaylee, Apichon Witayangkurn

“…While existing remote sensing data and deep learning methods offer efficient alternatives for monitoring, achieving a highly accurate tree condition classification remains a challenge. …”
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Solar Energy Datasets of Deep Learning Models Incorporating with GK-2A and ASOS Ground Measurements by Jong-Sung Ha, Seungtaek Jeong, Seyun Min, Yejin Lee, Suhwan Kim, Doehee Han, Jong-Min Yeom

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TreeHub: a comprehensive dataset of phylogenetic trees by Ping Wu, Yawei Cao, Jiajie Yang, Hui Wu

“…In this study, we present a novel approach for automatically extracting phylogenetic data and integrating relevant species information from scientific papers and public databases. …”
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Dataset on topsoil fertility characteristics in Cyprus by Panagiotis Dalias, Michalis Omirou, Damianos Neocleous

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Multi-Domain Indoor Dataset for Visual Place Recognition and Anomaly Detection by Mobile Robots by Piotr Wozniak, Tomasz Krzeszowski, Bogdan Kwolek

“…The dataset includes 89,550 RGB images captured in nine rooms. The data collection process involved both manual recordings and recordings captured by mobile robots. …”
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ITH: an open database on Italian Tenders 2016–2023 by Roberto Nai, Emilio Sulis, Rosa Meo

“…The analysis also identifies key challenges that arise from the current Open Data catalogue, particularly in terms of data completeness. …”
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The Volebny Kompas Datasets on Slovak Voter and Party Positions by Jozef Michal Mintal, Kamila Borseková, Lorenzo Cicchi, Vladimír Müller, Róbert Vancel, Patrícia Šimková, Kevin Deegan-Krause

“…This backdrop, especially evident in Slovakia, underscores the need for comprehensive data on voter and political party positions during elections, a key opportunity for democratic renewal. …”
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A flying ad-hoc network dataset for early time series classification of grey hole attacks by Charles Hutchins, Leonardo Aniello, Enrico Gerding, Basel Halak

“…These sequences undergo post-processing via two methods: firstly, an anonymization procedure that replaces IP addresses with standard string variables, allowing for offline model training and deployment on any UAV; and secondly, the application of feature engineering techniques to format the data for machine learning model integration. …”
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An annotated Dataset and Benchmark for Detecting Floating Debris in Inland Waters by Guangchao Qiao, Mingxiang Yang, Hao Wang

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PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset by Jinghua Xiong, Yuting Yang

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A self-monitoring analysis and reporting technology dataset of 147,496 hard disks by Shuting Wei, Hongzhang Yang, Zhengguang Chen, Ping Wang

“…Abstract In order to study hard disk failure prediction,this paper introduces SMART-Z, a dataset comprising 147,496 pieces of hard disk SMART data periodically collected by a large distributed video data center in China in the enterprise application environment from March 2017 to February 2018. …”
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Electronic News Dataset for Native Advertisement Detection by Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari

“…This paper elucidates a systematic approach to data collection and annotation, aiming to construct a specialized dataset poised to significantly enhance native ads detection efforts. …”
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Market Regime Identification and Variable Annuity Pricing: Analysis of COVID-19-Induced Regime Shifts in the Indian Stock Market by Mohammad Sarfraz, Guglielmo D’Amico, Dharmaraja Selvamuthu

“…This study investigates how regime shifts during the COVID-19 pandemic influence variable annuity pricing in the Indian stock market, specifically using the Nifty 50 Index data from 7 September 2017 until 7 September 2023. …”
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A Simplified Method for Comprehensive Capture of the Staphylococcus aureus Proteome by Emilee M. Mustor, Jessica Wohlfahrt, Jennifer Guergues, Stanley M. Stevens, Lindsey Neil Shaw

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Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature by Matilda Sipilä, Farrokh Mehryary, Sampo Pyysalo, Filip Ginter, Milica Todorović

“…Abstract Scientific literature provides a variety of experimental and theoretical data which, if extracted, could offer new opportunities for data-driven discovery in materials research. …”
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A global annual simulated VIIRS nighttime light dataset from 1992 to 2023 by Xiuxiu Chen, Zeyu Wang, Feng Zhang, Guoqiang Shen, Qiuxiao Chen

“…Abstract Nighttime light (NTL) data is recognized as a reliable proxy for measuring the scope and intensity of human activity, finding wide application in studies such as urbanization monitoring, socioeconomic estimation, and ecological environment assessment. …”
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Whole genome sequencing and structural variations provide insights into the body size traits of Hu sheep by Xin Xiang, Yujiao Guo, Liran Zhao, Wei Gao, Mao Li, Pengju Zhao, Zhengguang Wang

“…A total of 9.53 T of high-quality sequencing data was generated. After quality controlled, Q30 range of clean reads was 86.76% to 95.46%, and GC range was 41.52% to 44.48%. …”
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A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

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