CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery [0.03%]
基于腹腔镜手术的工具实例分割数据集CholecInstanceSeg
Oluwatosin Alabi,Ko Ko Zayar Toe,Zijian Zhou et al.
Oluwatosin Alabi et al.
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 comprehensiv...
Muhammad Suleman Ali Hamdani,Khizer Zakir,Neetu Kushwaha et al.
Muhammad Suleman Ali Hamdani et al.
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 pollut...
Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy [0.03%]
意大利附录I生境的植物检测数据集标注：来自欧洲的生境机器人监测项目
Giovanni Di Lorenzo,Franco Angelini,Michele Pierallini et al.
Giovanni Di Lorenzo et al.
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 ANY...
SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) [0.03%]
SynthSoM：用于机器通感（SoM）的合成智能多模态感知通信数据集
Xiang Cheng,Ziwei Huang,Yong Yu et al.
Xiang Cheng et al.
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...
Circadian rhythmicity and reinforcement processing: a dataset of MRI, fMRI, and behavioral measurements [0.03%]
生物节律与强化处理：一套磁共振、功能性磁共振和行为测量数据集
Patrycja Scislewska,Michal Rafal Zareba,Julia Lengier et al.
Patrycja Scislewska et al.
Circadian rhythmicity is a complex phenomenon that influences human behavior, emotionality and brain activity. A detailed description of individual differences in circadian rhythmicity could inform the design of educational systems, shift-w...
Maxime Le Floch,Fabian Wolf,Lucian McIntyre et al.
Maxime Le Floch et al.
Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, representation of small bowel), but faces many limitations as well (time-consuming analysis, short battery lifetime, and poor image quality). Artif...
Chromosome-level genome assembly of the predatory flower bug Orius strigicollis [0.03%]
姬小盾猎蝽染色体水平基因组组装
Yaru Wang,Limin Chen,Farman Ullah et al.
Yaru Wang et al.
Predatory insects serve as important biological control agents in ecosystems by efficiently reducing pest populations. Orius strigicollis is a highly effective beneficial predator in cultivated fields in China. It is widely used as a biolog...
Data on yield and soil parameters of three diverse tilled long-term experimental sites in Austria (2018-2022) [0.03%]
奥地利三个多样化的深耕长期试验站的产量和土壤参数数据（2018-2022年）
Alexandra Tiefenbacher,Andreas Schaumberger,Hans-Peter Kaul et al.
Alexandra Tiefenbacher et al.
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 compile...
A chromosome-level genome assembly of Ficus benjamina, a fig tree with great ecological and ornamental value [0.03%]
染胶藤基因组测序及染色体水平组装
Shuai Liao,Zhen Zhang,Chenxuan Yang et al.
Shuai Liao et al.
Ficus benjamina, the weeping fig, is one of the most widely distributed and cultivated figs, with important ecological functions and landscape value. However, the lack of a reference genome has hindered molecular and functional research on ...
An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment [0.03%]
基于上肢评估的生物标志物研究的标准化伸手任务的EEG-EMG数据集
Florencia Garro,Elena Fenoglio,Indya Ceroni et al.
Florencia Garro et al.
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...