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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,305 datasets
Battery Degradation Dataset XAI likely contains tabular data for analyzing the performance decline of energy storage systems. The dataset is published on Kaggle and its platform tags suggest a focus on materials science and explainable artificial intelligence. Specific details on its size, origin, and update history are not provided in the available metadata.
Kaufman Assessment Battery for Children (K-ABC) data, likely containing cognitive and achievement scores for children. The dataset is published on the paperswithcode platform, which aggregates resources for AI/ML practitioners. Its specific content, size, and origin require verification after download.
Kirkaldy battery dataset provides experimental data for energy storage research. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not described in the provided metadata. Further verification is required to confirm the exact measurements, sample count, and experimental conditions documented within.
A dataset likely focused on predicting the State of Health (SOH) of batteries. It was published on Kaggle and is associated with platform tags for predictive maintenance and energy storage. The specific source, collection method, and data volume are not detailed in the available metadata.
Electrochemical signals likely collected for detecting pollutants. The dataset is published on Kaggle. The author, organization, and specific collection details are unknown.
Kaggle hosts this dataset on solar-powered battery charging stations. The dataset's specific variables, scale, and collection details are not provided in the metadata. Its content and structure require verification after download.
Caxton-S is a dataset focused on semantic defects in 3D printing. It is hosted on Kaggle, but the specific number of samples, collection method, and authorship are not detailed in the provided metadata. The dataset's content and scale require verification after download.
OpenML hosts a dataset on chemical and ceramic materials. The dataset's specific content, size, and creator are not detailed in the provided metadata. Its last update and temporal coverage are unknown.
T. Ridley conducted an interview with conservator Kate van Lookeren Campagne at the Rijksmuseum Ateliergebouw in Amsterdam on 12 January 2026. The interview discusses her training and career development in glass and ceramics conservation. The dataset was published by DANS Data Station Social Sciences and Humanities Collection on 27 January 2026.
17 years of global electric vehicle fire incident records spanning from 2010 to 2026. The data tracks fire events across international regions to monitor safety trends in the electric mobility sector.
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.
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.