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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,301 datasets
A core set of terms and definitions for non-living membranes and membrane processes aims to eliminate ambiguity in scientific, technical, and commercial literature. The project, led by William J. Koros of The University of Texas at Austin, reflects the majority preference of the membrane community, covering synthetic polymers, modified natural polymers, ceramics, and metals. Definitions involving interpretations of phenomena were minimized to avoid irreconcilable differences.
United States and Western Europe data for wet and dry nitrogen-species deposition, acquired from monitoring programs. Wet deposition data spans 1978-1994, while dry deposition data covers 1989-1994, with quality assurance criteria applied for comparability. A standard geostatistical method (kriging) was used to interpolate the data onto a 0.5 x 0.5 degree resolution map.
A book provides a practical approach to understanding Dynamic Mechanical Analysis (DMA) for measuring viscoelastic properties. The text covers concepts from stress-strain to thermomechanical analysis, with expanded chapters on frequency scanning and industrial case studies. The content reflects the latest DMA research and technical advances, and includes study questions and updated references.
A Cambridge Structural Database (CSD) search identified only three crystal structures containing pentacoordinate nitrogen. This dataset was compiled by Henry S. Rzepa of Imperial College London to explore a hypothesis analogous to a recently confirmed hexacoordinate carbon structure. The data originates from a published proposal and references a specific crystal structure deposit (DOI:10.5517/CCDC.CSD.CC1M71QM).
SCIOPS compiled a catalog of natural raw ceramic materials found in Japan. The listed materials include clay, kaolin, quartz, feldspar, pottery stone, and over a dozen others. This compilation was published in booklet form and last updated in June 1992.
A dataset from DasKunststoffZentrum SKZ contains images captured from a camera positioned directly next to the nozzle of a 3D printer. The images are intended for object detection of both regular print elements and typical printing defects. This repository is part of the project 'Künstliche Intelligenz zur Automatisierten Fehlerkorrektur in der Additiven Fertigung' (funding code: 16IS23050B).
A dataset of images captured from a camera positioned to capture the whole platform of a 3D printer, created by DasKunststoffZentrumSKZ. The task is object detection of both regular print elements and typical printing defects. The dataset was last updated on 2026-02-23.
86.6 to 96.9 teragrams of inorganic nitrogen were deposited annually globally from 1984 to 2016, showing a 12% increase. This dataset provides wet and dry deposition estimates on a 2°×2.5° grid for 12 individual years across four decades, simulated using the GEOS-Chem Chemical Transport Model. It was created by Daniel Ackerman to improve understanding of short-term human impacts on the global nitrogen cycle.
A dataset of test results for a battery identified as B0005, likely from the Delt-IEt series. Published on Kaggle, the specific contents, such as voltage, capacity, or cycle life measurements, must be verified after download. The author, organization, and temporal coverage are unknown.
2977fc7b-f83e-4696-b06b-2f589ffa6965 contains laboratory data from 2016 on polymer-enhanced dewaterability of anaerobic digestates. The dataset includes measurements from a preliminary polymer selection experiment (WP1A1) and a main experiment (WP1A2) analyzing masses, supernatant volume, pH, and plant macronutrient profiles.
Polymer Structure Property Dataset contains structural descriptors and material property classification data. The dataset is hosted on Kaggle, but its author, organization, and specific scale are unknown. Its last update date and license information are also not provided.
Polymer-model-v13 is a dataset published on Kaggle. The dataset likely contains information related to polymer materials, potentially including properties or model parameters. Its specific content, scale, and authorship require verification after download due to minimal metadata.
This dataset originates from a study on sustainable composites for automotive applications, authored by Malik Hassan. It evaluates the mechanical and thermal properties of composites made from recycled diaper polypropylene and toothpaste tube polyethylene-polypropylene blends, reinforced with wheat straw-derived biocarbon produced at 600°C and 950°C.
Material property measurements from a study developing a sustainable, non-flammable polyamide 6,6 hybrid composite for automotive applications. The composite achieved a UL-94 V-0 rating with zero horizontal burn rate and incorporated 35% sustainable content. It includes data on tensile modulus (9170 MPa), flexural modulus (9436 MPa), heat deflection temperature (240.4 °C), and thermal expansion (31.47 µm/m·°C).
This dataset documents the development of impact-toughened sustainable composites from recycled polypropylene (r-PP) and pyrolyzed miscanthus biocarbon. It includes material property measurements such as notched Izod impact strength, tensile and flexural moduli, coefficient of linear thermal expansion (CLTE), and heat deflection temperature. The composite achieves a total sustainable content of 75% with a density ≤ 1 g cm⁻³.
This dataset details the properties of hybrid composites made from ocean-recycled polyamide 6 reinforced with silane-treated basalt fiber and lignin-derived biocarbon. The composites were developed for automotive and electric vehicle applications, achieving a UL-94 V-0 flame retardancy rating and a 179% increase in tensile modulus compared to neat polyamide 6.
Kaggle hosts a dataset for industrial ceramic surface inspection. The dataset likely contains images of ceramic surfaces for defect detection tasks. Metadata is minimal; actual content requires verification after download.
Polymer-offline-wheels is a dataset hosted on Kaggle. Its specific content and scope are not detailed in the available metadata. The dataset's origin, size, and creation date are unknown.
A dataset titled 'all_battery_models_19_30' published on Kaggle. The title suggests it contains information related to battery models, potentially from a range of model numbers or years. The dataset's specific content, size, and origin are not detailed in the available metadata.
All Battery Models 19 30 2 is a dataset published on Kaggle. The title suggests it contains information related to battery models, likely for materials science or energy storage applications. No further metadata, such as column descriptions, sample data, or authorship, is available for this listing.