This dataset contains responses from a structured questionnaire survey conducted in Wuhan, China, from February to April 2025, targeting public behavioral intentions toward the adoption of driverless vehicles (DVs). A total of 515 valid responses were collected from urban residents through online distribution channels. The questionnaire was designed based on an integrated theoretical framework combining the Unified Theory of Acceptance and Use of Technology (UTAUT), the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), and Perceived Risk Theory.
Coupled current waveforms at inverter #1 port PV+ for different field strengths.
We release a large-scale endoscopic video dataset covering seven types of intraoperative adverse events (iAEs) across heterogeneous surgical domains. Source domain: Cholec80 is re-annotated for iAEs detection from laparoscopic cholecystectomy videos. Target domain: dViAEs comprises robot-assisted colorectal and HPB surgery videos.
This is the dataset of the paper Privacy-Preserving Federal Embedding Learning for Localized Retrieval-Augmented Generation.
Comparison of sensor outputs before and after waveform reconstruction with the source signal
Securing smart grids relies in part on the reliable integration of blockchain technologies for the automation of energy transactions. However, the presence of vulnerabilities in smart contracts poses a direct threat to the integrity and resilience of these critical systems. This work presents a unique and structured dataset of real-world vulnerabilities observed in smart contracts, intended for cybersecurity research applied to smart energy infrastructures.
Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response
Pathbased；Aggregation；R15；Banana；CMC；S1；MC；Pearl；Cth3；ThreeCircles；TwoCluster；TwoMoons；D2；Ls3
The dataset corresponding to the paper "A Time-Frequency Disentanglement Framework with Liquid Neural Networks for Biometric Identification and Physiological Interference Analysis from PPG Sensor Data"
This dataset comprises 325 histopathological images of clear cell renal cell carcinoma (ccRCC) tissue sections, designed to characterize vascular morphology based on CD31 immunohistochemical staining. Each image was scanned at 10× magnification and annotated with global proportions for three distinct vascular patterns: high-branching (HB), low-branching (LB), and sinusoidal (SN). The provided annotations include the relative distribution of each vascular class per image.
There are two main battery voltage levels (400 V and 800 V) for electric vehicles (EVs). Conventional wireless power transfer (WPT) systems utilize different connection circuits to accommodate these voltages, which may cause additional power losses. This paper proposes a new LCC-LCC WPT system to accommodate both 400 V and 800 V battery voltages without compromising performance.
We developed IIST BCI Dataset-9, a novel EEG-based Brain-Computer Interface (BCI)
dataset to improve wheelchair control systems using Malayalam dialect variations. BCI
systems help people with motor disabilities by allowing them to control devices using brain
signals. The limited number of BCI datasets in Indian languages makes it harder for native
speakers to use these systems. To address this, we created a dataset with 15 Malayalam
words related to basic wheelchair commands like Forward, Backward, Go, Stop, Reverse,
Accurate and consistent monitoring of lake water levels is essential for understanding hydrological dynamics and climate-driven variability in remote and data-scarce regions. Satellite altimetry provides high-precision lake level observations, but its limited spatial and temporal coverage constrain large-scale monitoring. Combining Digital Elevation Model (DEM) and remote sensing imagery offers an alternative, but the accuracy of resultant water level is affected by the uncertainties of inherent elevation and image processing.
ITDAV-25 (Indian Thermal Dataset for Autonomous Vehicles), a thermal image dataset specifically curated to advance research in Advanced Driver Assistance Systems (ADAS), particularly for environments characterized by low visibility, night-time conditions, and inclement weather. The dataset comprises of 13,688 raw thermal images, collected without any synthetic augmentation techniques.
Pavement planar coefficients are critical for a wide range of civil engineering applications, including 3D city modeling, extraction of pavement design parameters, and assessment of pavement conditions. However, existing plane fitting methods often struggle to maintain accuracy and stability in complex road environments, particularly when the point cloud is affected by non-pavement objects such as trees, curbstones, pedestrians, and vehicles. This paper presents REoPC, a robust two-stage estimation method based on road point clouds acquired using hybrid solid-state LiDAR.
Feature extraction on the camelyon 17 dataset (https://camelyon17.grand-challenge.org/Data/) using the tile-level encoder of the Prov-GigaPath model (10.1038/s41586-024-07441-w) and the trident project (https://github.com/mahmoodlab/trident/).
This is the status of offset transactions by legal ward. Provides province, municipality, legal building, year, month, total lake, and surplus power (tradable power). (Less than 5 lakes removed under Article 28 of the Personal Information Protection Act)
This dataset aims to collect and collate information about activity on the Bitcoin blockchain, with a focus directed at on-chain data which describes the state of the network at any given time. Some examples of these metrics include:
This dataset was curated mainly to cater to mitigation strategies for the Human-Peafowl Conflict that exists in these regions. The absence of natural predators has contributed to a significant increase in the peafowl population, exacerbating challenges for farmers. Peafowls are sometimes considered agricultural pests due to their tendency to feed on and damage crops. The vocalizations are from the Indian Peafowl (Pavo cristatus), a species native to the Indian subcontinent and especially abundant in India and Sri Lanka.
Data related to the MFFCNN manuscript.
The multi-modal MR、CT、PET、SPECT image
This dataset comprises comprehensive driving performance and eye movement metrics collected from 30 participants during voice interaction tasks. The complete dataset ("ALL Data") includes all recorded trials of voice interaction rounds with their corresponding:
