A Multi-view Open-access Dataset of Paired Knee MRI for Motion Artifact Removal by Yu Xi, Fang Wang, Feng Shi, Qing Zhou, Ran Li, Yingchun Li, Yuting Wang

“…The dataset comprises images of anonymous paired NIfTI files that have undergone bias field correction, maximum minimum normalization, and paired image spatial registration in sequence. The objective of our data-sharing program is to facilitate the benchmark testing of methods of knee MRI motion artifact removal. …”
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A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments by Diani Sirimewan, Sanuwani Dayarathna, Sudharshan Raman, Yu Bai, Mehrdad Arashpour

“…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.…”
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A chromosome-scale reference genome of the Banna miniature inbred pig by Hong-Man Chen, Kai-Xiang Xu, Chen Yan, Heng Zhao, De-Ling Jiao, Si Si, Zheng-Xi Liu, Guo-Ying Peng, Muhammad Ameen Jamal, Min-Juan Lv, Pei Wang, Yang-Zhi Zeng, Hong-Ye Zhao, Ming-Shan Wang, Hong-Jiang Wei

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A Global ERA5-based Tropical Cyclone Wind Field Dataset Enhanced by Integrated Parametric Correction Methods by Gengbin Liu, Shuailong Jiang, Minglin Zheng, Sen Lin, Yang Kong, Peng Zhan

“…To address these limitations, we introduce a globally applicable, high-resolution TC wind field dataset reconstructed from ERA5 through an integrated parametric correction approach. …”
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A highly annotated drug combination resource for catalyzing precision combinatorial therapy by Tianyi You, Lili Wang, Jianhua Wang, Dongqing Xu, Xinran Xu, Nan Li, Mulin Jun Li, Haitao Wang, Xiaobao Dong

“…Unlike many previous databases only include treatment regime and drug response data, OncoDrug+ provides detailed genetic evidences, pharmacological target information and evidence scores supporting each combination strategy, making evidence-based experimental or clinical applications of cancer drug combinations be possible.…”
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Global datasets of geospatial-AI-resolved energy consumers including climate-driven energy demands, geographical and socioeconomic realities for a transition reset by Diego Moya, Dennis Copara, Sara Giarola, Adam Hawkes

“…The datasets emerge from applying geospatial artificial intelligence, machine learning and big data analytics on a range of geospatial parameters at 1 km2 resolution. …”
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A multiomics dataset of paired CT image and plasma cell-free DNA end motif for patients with pulmonary nodules by Mengmeng Zhao, Gang Xue, Bingxi He, Jiajun Deng, Tingting Wang, Yifan Zhong, Shenghui Li, Yang Wang, Yiming He, Tao Chen, Jun Zhang, Ziyue Yan, Xinlei Hu, Liuning Guo, Wendong Qu, Yongxiang Song, Minglei Yang, Guofang Zhao, Bentong Yu, Minjie Ma, Lunxu Liu, Xiwen Sun, Deping Zhao, Dan Xie, Chang Chen, Yunlang She

“…However, the clinical applicability of integrated markers might be limited by the potential risk of overfitting due to small sample size. …”
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A global product of 150-m urban building height based on spaceborne lidar by Xiao Ma, Guang Zheng, Chi Xu, L. Monika Moskal, Peng Gong, Qinghua Guo, Huabing Huang, Xuecao Li, Xinlian Liang, Yong Pang, Cheng Wang, Huan Xie, Bailang Yu, Bo Zhao, Yuyu Zhou

“…Here, we provide a 150-m global urban building heights dataset around 2020 by combining the spaceborne lidar (Global Ecosystem Dynamics Investigation, GEDI), multi-sourced data (Landsat-8, Sentinel-2, and Sentinel-1), and topographic data. …”
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The Agroforestry Species Switchboard, a global resource to explore information for 107,269 plant species by Roeland Kindt, Ilyas Siddique, Ian Dawson, Innocent John, Fabio Pedercini, Jens-Peter Lillesø, Lars Graudal

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GloRice, a global rice database (v1.0): I. Gridded paddy rice annual distribution from 1961 to 2021 by Hanzhi Xie, Jingxian Li, Tingting Li, Xinqing Lu, Qiwen Hu, Zhangcai Qin

“…The GloRice (I) provides essential data input for regional and global modelling and assessments, with broad applicability in agriculture, climate, and environmental research.…”
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Chromosome-level assembly and annotation of the yellow-shelled fish (Barbodes Wynaadensis) by Qi Shen, Junjie Wu, Chunxiang Yang, Qiang Sheng, Mei Xu, Shaokui Yi, Jianyu Song

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PAVC: The foundation for a Pan-Arctic Vegetation Cover database by Morgan R. Steckler, Jitendra Kumar, Amy L. Breen, Tianqi Zhang, Forrest M. Hoffman, William W. Hargrove, Donald A. Walker, Aaron F. Wells, Amanda Droghini, Timm W. Nawrocki, Stan D. Wullschleger, Matthew J. Macander, Gerald V. Frost, Verity G. Salmon, David T. Barnett, Colleen M. Iversen

“…In this work, we synthesized and harmonized field-based fractional cover data from various data stores to create a high-quality, consistent repository schema for remote sensing-based vegetation cover mapping applications. …”
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A comprehensive dataset of above-ground forest biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir HimalayaZenodo by Syed Danish Rafiq Kashani, Faisal Zahoor Jan, Imtiyaz Ahmad Bhat, Nadeem Ahmad Najar, Irfan Rashid

“…This dataset serves as a crucial resource for forest management, carbon monitoring, and ecological modeling, with broad applications in regional conservation strategies, biodiversity planning, and climate policy development in mountainous ecosystems.…”
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Deep learning-based extraction of Kenya’s historical road network from topographic maps by Tanja Kramm, Nicodemus Nyamari, Vincent Moseti, Annika Klee, Leon Vehlken, David M. Anderson, Christina Bogner, Georg Bareth

“…Abstract Kenya’s road network significantly influences environmental and socio-economic dynamics. High-quality road data is essential for analyzing its impact on various factors, including land-use, biodiversity, migration, livelihoods, and economy. …”
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Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning by Vojtěch Juřík, Libor Juhaňák, Alexandra Ružičková, Nicol Dostálová, Zuzana Juříková

“…However, evidence linking SRL to learning outcomes remains inconclusive, particularly regarding objective behavioral data during learning. This study presents an original empirical dataset on eye-tracking activity during learning, examining the effects of metacognitive prompts and multimedia content on cognitive processing and learning outcomes. …”
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Haplotype-resolved chromosome-level genome sequence of Elsholtzia splendens (Nakai ex F.Maek.) by Sung Jin Moon, Sae Hyun Lee, Woo Hyun Sim, Han Suk Choi, Ju Seok Lee, Sangrea Shim

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CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS by Vinh Ngoc Tran, Donghui Xu, Tam Van Nguyen, Taeho Kim, Valeriy Y. Ivanov

“…Developed in accordance with FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, CAMELSH is the first large-sample dataset at an hourly timescale, supporting machine learning applications for short-term streamflow (flood) prediction and advancing data-driven hydrological research across multiple timescales.…”
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Any Bluetooth device can be hacked. Know how? by Prathibha Muraleedhara, Mary Subaja Christo, Jaya J, Yuvasini  D

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Inhibition of Horse Liver Alcohol Dehydrogenase by Methyltin Compounds by Pavel V. Bychkov, Tatyana N. Shekhovtsova, Elena R. Milaeva

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3D+t Multifocal Imaging Dataset of Human Sperm by Fernando Montoya, Andrés Bribiesca-Sánchez, Paul Hernández-Herrera, Dan Sidney Díaz-Guerrero, Ana Laura Gonzalez-Cota, Hermes Bloomfield-Gadelha, Alberto Darszon, Gabriel Corkidi

“…By making this data publicly available, we aim to enable applications in deep learning and pattern recognition to uncover hidden flagellar motility patterns, fostering significant advancements in understanding 3D sperm morphology and dynamics, and developing new diagnostic tools for assessing male fertility, as well as assisting in the self-organizaton mechanisms driving spontaneous motility and navigation in 3D.…”
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