IR-NMR multimodal computational spectra dataset for 177K patent-extracted organic molecules [0.03%]
用于专利提取的化合物的红外和核磁共振多模态计算光谱数据集
Federico Zipoli,Marvin Alberts,Teodoro Laino
Federico Zipoli
The construction of predictive models in molecular science increasingly relies on large, high-quality datasets. Synthetic data generation is becoming a foundational strategy for advancing model accuracy and enabling fast discovery workflows...
A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus [0.03%]
抽象与推理语料库的全面行为数据集
Solim LeGris,Wai Keen Vong,Brenden M Lake et al.
Solim LeGris et al.
The Abstraction and Reasoning Corpus (ARC) is a visual program synthesis benchmark designed to test out-of-distribution generalization in machines. Comparing AI algorithms to human performance is essential to measure progress on these probl...
Ashwaq Alsuhaymi,Ahmad Bilal,Daniel Gasca García et al.
Ashwaq Alsuhaymi et al.
People living with Type 1 Diabetes (PwT1D) must continuously monitor blood glucose levels and make critical clinical and safety-related decisions multiple times a day to maintain glycaemic control within recommended ranges. While significan...
CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development [0.03%]
CAS结肠数据库：用于人工智能发展的全面结肠内镜解剖分割数据集
Yiming Song,Zhengjie Zhang,Ruilan Wang et al.
Yiming Song et al.
Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by reducing manual workload and enhancing procedural efficiency. However, the development of robust AI algorithms is hindered by limited access to ...
Comprehensive Benchmark Dataset for Pathological Lymph Node Metastasis in Breast Cancer Sections [0.03%]
乳腺癌病理切片淋巴结转移的全面基准数据集
Xitong Ling,Yuanyuan Lei,Jiawen Li et al.
Xitong Ling et al.
Advances in optical microscopy scanning have significantly contributed to computational pathology (CPath) by converting traditional histopathological slides into whole slide images (WSIs). This development enables comprehensive digital revi...
High-resolution estimates of the US population in fluvial or coastal flood hazard areas [0.03%]
美国处在河流或沿海洪水危险区域的高分辨率人口估算值
Adam C Gold,Ivy Steinberg-McElroy
Adam C Gold
Flooding is the most common and damaging natural disaster in the United States (US), and understanding the number of people at risk of flooding is critical information for planning. The dataset presented here uses publicly available census ...
Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles [0.03%]
多旋翼无人机叶片故障诊断的多轴振动数据
Luttfi A Al-Haddad,Alaa Abdulhady Jaber,Mohsin N Hamzah et al.
Luttfi A Al-Haddad et al.
This dataset presents multiaxial vibration signals collected from a multirotor unmanned aerial vehicle (UAV) operating in hover mode for the purpose of blade fault diagnosis. Vibration measurements were recorded at the geometric center of t...
Correction: Global extent and change in human modification of terrestrial ecosystems from 1990 to 2022 [0.03%]
更正：1990年至2022年人类对陆地生态系统改造的全球范围和变化
David M Theobald,James R Oakleaf,Glenn Moncrieff et al.
David M Theobald et al.
Published Erratum
Scientific data. 2025 Aug 7;12(1):1376. DOI:10.1038/s41597-025-05710-5 2025
Whole genome sequencing and structural variations provide insights into the body size traits of Hu sheep [0.03%]
全基因组重测序揭示Hu羊生长性状的结构变异Selection
Xin Xiang,Yujiao Guo,Liran Zhao et al.
Xin Xiang et al.
Hu sheep is an indigenous breed in China, renowned for its prolificacy. However, Hu sheep have smaller statures compared to other meat sheep breeds, necessitating improvement. Therefore, further research is required to explore the underlyin...
Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions [0.03%]
仁济内镜黏膜下挖除术结直肠肿瘤病变数据集
Jinnan Chen,Xiangning Zhang,Jinneng Wang et al.
Jinnan Chen et al.
Artificial intelligence advancements have significantly enhanced computer-aided intervention, learning among surgeons, and analysis of surgical videos post-operation, substantially elevating surgical expertise and patient outcomes. Recognit...