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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,305 datasets
A project dataset from the UKCCSRC Call 1 initiative, grant number UKCCSRC-C1-36, supporting the development of composite membranes for carbon capture. The data focuses on mixed matrix membranes, which combine inorganic fillers and polymeric matrices to enhance transport properties like permeability and selectivity. The British Geological Survey (BGS) is the organizing body for this material science research.
Sodium-ion battery degradation data from Wenzhou, focusing on the transition from lithium-ion technology. The dataset likely contains tabular measurements related to battery performance and aging over time. Platform tags indicate its relevance for materials science and energy storage research.
Wenzhou Randomized Battery Data is a dataset for battery cumulative lifetime prognostics. The description suggests it aims to bridge laboratory testing and real-life performance. The dataset was uploaded to Kaggle, but its author, organization, and specific creation date are unknown.
Wenzhou Cold Curse Battery Data focuses on reversing the cold curse on lithium-ion battery durability. The dataset likely contains experimental or operational data related to battery performance under cold conditions. Its origin, size, and specific collection details are unknown.
United Kingdom total nitrogen deposition data at 1km x 1km resolution, annually from 1990 to 2017. The dataset presents values for reduced nitrogen (NHx) and oxidised nitrogen (NOy), split into wet and dry portions, for forest and moorland land cover as well as a grid average. It was produced by the Environmental Information Data Centre.
Four 18650 Li-ion batteries were cycled using random walk discharging currents between 0.5A and 4A, followed by random-duration recharges. After every fifty random cycles, reference charging and discharging cycles were performed to benchmark battery state of health. The dataset is part of a series from the National Aeronautics and Space Administration.
A collection of polymer datasets hosted on Hugging Face by user introvoyz041. The datasets are likely related to polymer chemistry and materials science, intended for use with the DeepChem machine learning library. The listing was last updated on March 24, 2026.
Physical and chemical property data for Li-ion silicate cathodes, used to classify batteries by their crystal system. The dataset is sourced from the openml platform and is published under a permissive CC0-1.0 license. Its specific size, update history, and authorship are not detailed in the provided metadata.
Lithium-ion battery performance data focused on remaining useful life (RUL) and health estimation. The dataset is published on Kaggle, but its specific size, collection methodology, and authorship details are not provided in the available metadata. Its content likely contains measurements from battery cycling tests relevant to electric vehicle applications.
This dataset compares the mechanical performance of mortar samples produced via traditional molding and 3D printing, focusing on flexural behavior. The data supports a 2026 research publication analyzing the impact of additive manufacturing on mortar strength and flexibility.
Chemfuse Polymer is a dataset hosted on HuggingFace by the jablonkagroup. The dataset's content likely relates to polymer chemistry and materials science, as suggested by its title and platform tags. The last recorded update was on 2026-03-20 14:50:55.
This dataset maps semiconductor manufacturing and data center facilities from the EPA's Facility Registry Service against county-level water projection data from the Texas State Water Plan. It includes a custom calculated 'Severity Score' metric quantifying local water stress intensity.
An entry from the Cambridge Structural Database, the world's repository for small molecule crystal structures. The dataset contains experimental data from a crystal diffraction study, likely including 3D coordinates, cell parameters, and quality measures. It was deposited by author Carmela Magliocchi.
BaY2ZnO5 crystallizes in the orthorhombic Pnma space group with a three-dimensional structure. The description details atomic bonding geometries, including 11-coordinate Ba2+ and distorted YO7 pentagonal bipyramids, with specific bond distance ranges provided. This dataset originates from the Materials Project, a computational materials science initiative.
CCDC 939967 is an entry from the Cambridge Structural Database, the world's repository for small molecule crystal structures. The dataset contains experimental data from a crystal diffraction study, contributed by author Bakonyi, Bettina. The deposited data is freely available from the CCDC and likely includes 3D coordinates, cell parameters, and experimental conditions.
An entry from the Cambridge Structural Database, the world's repository for small molecule crystal structures. The dataset contains experimental data from a crystal diffraction study, likely including 3D coordinates, cell parameters, and quality measures. The data was deposited by author Joanna Cookney.
A review paper authored by Akhilesh Gupta, sourced from paperswithcode, provides insight into mucoadhesive polymers and the factors affecting their properties. The paper discusses the phenomenon of mucoadhesion and its role in creating drug delivery systems for prolonged, site-specific therapeutic release. The dataset appears to be a single text document summarizing this scientific review.
Gastón Sánchez's plsdepot provides implementations of multiple Partial Least Squares (PLS) analysis methods. The software includes algorithms for one or two data tables, such as Tucker's Inter-Battery, NIPALS, SIMPLS, and PLS Regression. Its main reference is the French book 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Cycler-driven battery profiles derived from standard drive cycles. The dataset's author, organization, and temporal coverage are unknown. Its size, row count, and specific file formats are not provided.
Iron Alloys Dataset is a collection of data related to iron-based metallic materials, published on the Kaggle platform. The dataset likely contains information on the composition, processing, or properties of various iron alloys. Specific details such as the number of rows, columns, and the original author are currently unknown.