Multimodal precision MRI of the individual human brain at ultra-high fields [0.03%]
超高磁场条件下的人类个体大脑多模态精准MRI技术
Donna Gift Cabalo,Ilana Ruth Leppert,Risavarshni Thevakumaran et al.
Donna Gift Cabalo et al.
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapp...
Kai Zhang,Jianqing Zhao,Shirong Mi et al.
Kai Zhang et al.
The Saanen breeds are often used as terminal sires for hybridization and play an important role in the global dairy food industry. However, there is still a lack of genomics information on the Saanen dairy goats. Whole-genome sequencing off...
Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors [0.03%]
十米行走测试中的下肢运动：一个包含惯性、磁性和温度传感器的数据集
Maykol Santos,Andrés Caro Lindo,Carlos Albuquerque et al.
Maykol Santos et al.
This paper presents a dataset from a study analyzing lower limb movement during a 10-meter walk test. The study utilized SensorTileBox sensors integrated into shin pads to capture detailed movement and environmental data from participants. ...
The 626M24 dataset of validated transitions and empirical rovibrational energy levels of 16O12C16O [0.03%]
16O12C16O的经验证明的跃迁和实测的转动振动能量水平的626M24数据集
Ala&#x;a A A Azzam,Dunia Alatoom,Bashar M J Abou Doud et al.
Ala&#x;a A A Azzam et al.
The 626M24 dataset created during this project contains validated experimental transitions and empirical rovibrational energy levels for the parent carbon dioxide isotopologue, 12C16O2 (in a shorthand notation, 626). Validation of the measu...
HIFDA - High-Frequency Electrical Voltage and Current Signals from Household Appliances [0.03%]
来自家用电器的高频率电电压和电流信号-HIFDA
Víctor M Navarro,Marta Barragán,Rubén Nieto et al.
Víctor M Navarro et al.
The increasing demand for efficient energy management in smart grids has led to the development of various Non-Intrusive Load Monitoring (NILM) techniques. These aim to disaggregate energy consumption and classify appliances using data from...
A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults [0.03%]
基于全身IMU的老年人和年轻人日常生活任务动作数据集
Loreen Pogrzeba,Evelyn Muschter,Simon Hanisch et al.
Loreen Pogrzeba et al.
This dataset (named CeTI-Age-Kinematics) fills the gap in existing motion capture (MoCap) data by recording kinematics of full-body movements during daily tasks in an age-comparative sample with 32 participants in two groups: older adults (...
Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845 [0.03%]
1845年巴伐利亚历史上脊椎动物分布的定量和定性数据
Malte Rehbein,Belen Escobari,Sarah Fischer et al.
Malte Rehbein et al.
Archival collections contain an underutilized wealth of biodiversity data, encapsulated in government files and other historical documents. In 1845, the Bavarian government conducted a comprehensive national survey on the occurrence of 44 s...
UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction [0.03%]
UrbanEV：城市电动汽车充电需求预测的开放基准数据集
Han Li,Haohao Qu,Xiaojun Tan et al.
Han Li et al.
The recent surge in electric vehicles (EVs), driven by a collective push to enhance global environmental sustainability, has underscored the significance of exploring EV charging prediction. To catalyze further research in this domain, we i...
A Comprehensive Vector Dataset of Bus Networks Across China for the Year 2024 [0.03%]
2024年中国公交网络的综合矢量数据集
Shiguang Wang,Jinyu He,Rui Ma et al.
Shiguang Wang et al.
Urban public transportation systems facilitate traffic flow and promote sustainable urban development by offering convenient, economical, and environmentally friendly transit services. However, existing research often lacks large-scale bus ...
Recovery of 679 metagenome-assembled genomes from different soil depths along a precipitation gradient [0.03%]
降水梯度不同土壤深度中679个宏基因组组装基因组的恢复
Anna Kazarina,Hallie Wiechman,Soumyadev Sarkar et al.
Anna Kazarina et al.
Soil contains a diverse community of organisms; these can include archaea, fungi, viruses, and bacteria. In situ identification of soil microorganisms is challenging. The use of genome-centric metagenomics enables the assembly and identific...