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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
816 datasets
Ultra-high-resolution imaging data of nanoparticles using a dual-modal microscopy technique. The dataset is hosted on Kaggle and is tagged for research purposes. Specific details on data volume, creation date, and authorship are not provided.
United States market data covering battery warranty terms and technical specifications for electric vehicles from 2010 to 2025. The dataset likely contains model-specific details for analysis of the EV market over a 15-year period. It was sourced from Kaggle, but the original author and organization are unknown.
Chemical Composition of Ceramic Samples originates from the UCI Machine Learning Repository. The dataset contains measured chemical properties for a collection of ceramic material samples. The specific creator, row count, and update date are not provided.
UCI Machine Learning Repository hosts this dataset on activity recognition for healthy older individuals, collected using a batteryless wearable sensor. The dataset contains time-series sensor data for classifying daily activities. The original source and collection date are not specified.
Research data on programmable wettability transitions for flexible polymer substrates via layer-by-layer assembly. The dataset originates from a Kaggle source and is tagged for research purposes. Specific details on row count, column features, and creation metadata are unavailable.
A dataset from Kaggle concerning the synthesis of bimetallic nanoparticles using microfluidic techniques. The description suggests the data likely contains parameters for tuning core-shell structures and their properties. The author, organization, and temporal coverage are unknown.
An oral history interview with conservator Kate van Lookeren Campagne, conducted in Amsterdam on January 12, 2026. The interview covers her training, career development, and experiences in glass and ceramics conservation. The dataset was last updated on January 27, 2026.
Synthetic high-resolution telemetry data for lithium-ion batteries, designed for prognostics and prediction tasks. The dataset is hosted on Kaggle and is tagged for artificial intelligence applications. Its specific volume, creation method, and temporal coverage are not detailed in the provided metadata.
A physics-inspired feature set created for the NeurIPS Open Polymer Prediction 2025 challenge. The dataset likely contains engineered features related to polymer structure and quantum mechanical properties. Its specific scale, authorship, and creation date are not provided in the available metadata.
Multi-Layer Trajectory Optimization and Quality Assessment for Large-Scale Const. The dataset is hosted on Kaggle and is tagged for manufacturing and data analytics. Its specific origin, size, and temporal coverage are not detailed in the provided metadata.
Synthetic IoT telemetry data for predicting the Remaining Useful Life (RUL) of electric vehicle batteries. The dataset was created for machine learning applications and is hosted on Kaggle. The author, organization, and specific data volume are unknown.
20,000 reinforcement learning transitions for IoT device control, focusing on battery management and solar or wind energy harvesting. The dataset was published on Kaggle and is associated with artificial intelligence and deep learning applications. The author, organization, and last update date are not specified.
Kaggle hosts a dataset of electric vehicles in India. The dataset is described as clean and includes information on vehicle price, driving range, and battery. The author, organization, and specific size are unknown.
A dataset likely related to adaptive process control for thermoplastic additive manufacturing using reinforcement learning. The data was sourced from Kaggle and is categorized as research material. The specific volume, authorship, and update history are not provided.
A large-scale time-series dataset tracks the performance of lithium-ion batteries from multiple manufacturers. It contains measurements for state of health (SOH), state of charge (SOC), and fault conditions. The dataset is sourced from Kaggle, but the author, organization, and specific update date are unknown.
A dataset related to enhanced oil recovery (EOR) techniques using biosurfactants and polymers. The dataset is hosted on Kaggle, but its specific size, origin, and creation date are unknown. Columns likely contain measurements related to material properties and recovery performance.
Hailo_dataflow_compiler is a dataset published on Kaggle. Its title suggests it relates to compiler tools or data for optimizing AI workloads on Hailo hardware. The dataset's specific content, size, and provenance are not detailed in the provided metadata.
BatteryLife Raw provides the complete cycle test capacity data from the CALB dataset, originally used for battery life prediction. The dataset was released by the Battery-Life organization on Hugging Face in December 2025. It is intended for battery informatics tasks and serves as a benchmark for predictive modeling.
Kaggle hosts a dataset on additive manufacturing research. The dataset likely contains experimental data on gradient hybrid lattice structures incorporating boron. The author, organization, and temporal coverage are unknown.
Kaggle hosts a dataset for polymer extrusion rheology prediction. The dataset likely contains sensor readings from multiple instruments integrated into a real-time monitoring system. The author, organization, and specific data volume are unknown.