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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
813 datasets
A dataset analyzing battery drain for routers and power banks. The dataset is hosted on Kaggle, but its specific size, features, and creation details are not provided in the metadata. Further details regarding the data collection methodology and scope require verification after download.
Global data on semiconductor sales, aggregated from Kaggle. The dataset's specific temporal coverage, collection method, and original source are not detailed in the provided metadata. Columns likely contain sales figures and temporal identifiers, suggesting a time-series structure.
Experimental time-series data records the performance and degradation of lithium-ion batteries. The dataset originates from NASA's Prognostics Center of Excellence (PCoE). Specific details on the number of batteries, cycles, and measurement variables are not provided.
Ceramic data from Kaggle, a platform for data science competitions and projects. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and potential applications in materials analysis.
A collection of compiled data files and images related to biodegradable poly(ε-caprolactone)/poly(silyl fumarate) shape memory scaffolds. It was submitted by author Negron-Hernandez, Jenlyan on 2025-11-04 and last updated on 2026-02-16.
Data Management and Sharing Plan for a research project on nanodelivery of FP polymers to treat metastatic colorectal cancer. The plan describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The author is William Zamboni.
Data Management and Sharing Plan for a research project on cobalt-catalyzed carbonylations of small molecules and commodity polymers promoted by light. The plan describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The author is Erik Alexanian.
Global EV & Battery Supply Chain Dataset 2026 covers minerals, charging infrastructure, plants, and trade across 44 countries. The dataset provides a multi-faceted view of the electric vehicle and battery manufacturing ecosystem.
A dataset on Kaggle concerning the 6xxx series of aluminum alloys. The dataset likely contains information on material properties such as composition, mechanical strength, or thermal characteristics. The author, organization, and specific temporal coverage are unknown.
Trinity Executive Function Battery provides a standardized set of tasks designed to evaluate cognitive control processes. The dataset is structured in a multiple-choice format for assessing artificial general intelligence systems. Its creator and specific size details are currently unknown.
Trinity Executive Function Battery is a dataset for assessing cognitive functions, likely in the context of Artificial General Intelligence (AGI). The data is hosted on Kaggle, but details on its size, structure, and origin are not provided in the metadata. Its specific content and collection methodology require verification after download.
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.
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.