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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,305 datasets
The dataset focuses on the intersection of nanofabrication and roll-to-roll (R2R) manufacturing processes for high-volume production. It likely contains information on technologies, applications, and market trends related to creating nanoscale features on flexible substrates. The data originates from the paperswithcode platform and is associated with a market report covering 2009 to 2029.
A dataset from a research paper on the biogenic synthesis of silver nanoparticles using a cell-free extract of Bacillus safensis LAU 13. The data likely contains measurements related to antimicrobial, free radical scavenging, and larvicidal activities. It was authored by Agbaje Lateef and published on the Papers with Code platform.
Multidimensional effects of biologically synthesized silver nanoparticles are likely measured across multiple biological systems. The dataset appears to contain experimental results from research by Sangiliyandi Gurunathan, published on paperswithcode. Columns suggest measurements related to nanoparticle interactions with Helicobacter pylori, Helicobacter felis, and human lung cell lines.
Katharina Urmann authored a paper on aptamer-modified nanomaterials, published on Papers with Code. The dataset likely contains research data or code related to the integration of aptamers with nanomaterials. Its specific content, such as experimental results or computational models, requires verification after download.
Kaggle hosts a dataset focused on fracture toughness prediction. The raw description suggests it contains data on material microstructure and mechanical properties. The specific number of samples, features, and data collection details are not provided in the metadata.
U.S. Geological Survey data describes approximately 20 U.S. mineral sites with lithium resources or past production exceeding 15,000 metric tons. Sites occur in Arkansas, California, Nevada, North Carolina, and Utah, with data compiled from published geologic and exploration studies. The database focuses on larger deposits to characterize U.S. lithium resources, which are primarily imported.
Five thousand configurations for hydrogen-powered military robots are available. The dataset is designed for AI defense optimization tasks. The author, organization, and creation date are not specified.
A Kaggle dataset likely containing images or data related to the textures of wood and ceramic materials. The dataset's specific content, size, and creation details are unknown.
EMPIAR, the Electron Microscopy Public Image Archive at EMBL-EBI, provides raw electron microscopy images. The dataset likely contains micrographs, particle sets, and tilt-series related to the SARS-CoV-2 polymerase structure. Author Hillen HS contributed this resource, which is associated with the 2019 coronavirus outbreak.
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 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.
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.