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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,264 datasets
United Kingdom 1x1 km resolution maps quantify exceedances of acidity critical loads for eight habitats and nutrient nitrogen critical loads for thirteen habitats. The data, generated for UK policy assessment, measures excess acid or nitrogen deposition above levels set to protect sensitive ecosystems from 2019 to 2021.
Data from NASA Ames Prognostics Center of Excellence testbed tracks Li-ion batteries through repeated charge, discharge, and impedance cycles at different temperatures until end-of-life. Measurements include Voltage_measured, Current_measured, Temperature_measured, and Capacity fade. Experiments induced accelerated aging by discharging below OEM-recommended voltage thresholds.
A collection of images for computer vision applications focused on detecting batteries from Android phones. The dataset is intended for e-waste identification tasks. It was sourced from Kaggle, but details on the creator, size, and specific collection date are not provided.
A dataset concerning polymer composite materials, likely containing measurements related to their structure and performance. It is published on Kaggle, but the specific author, organization, and data collection details are unknown. The volume of data, including the number of rows and columns, is unspecified.
Comprising between 1,000 and 10,000 multiple-choice questions and explanations regarding additive manufacturing processes, sourced from graduate-level coursework at Carnegie Mellon University. Created by ppak10 and updated in 2026, it serves as a technical benchmark for evaluating domain-specific engineering knowledge. The data includes text, tabular, and image modalities to support complex technical queries.
985 images of iceberg lettuce subjected to various agricultural treatments. The description mentions treatments including Super Absorbent Polymer (SAP), Bacillus, Trichoderma, and Mycorrhiza. The dataset is hosted on Kaggle, but details on its origin, collection date, and author are unknown.
South Victoria Land in Antarctica was investigated to establish paleohydraulic models for Triassic fluvial depositional processes. The study visited four mountains—Mt Bastion, Portal Mountain, Shapeless Mountain, and Allan Hills—to understand the depositional environment of the Beacon Supergroup. The dataset was last updated on 1983-01-14 and originates from the nasa_earthdata platform via the organization SCIOPS.
Sediment composition and depositional facies in Ellis Fjord, a marine embayment in the Vestfold Hills of eastern Antarctica. Modern sediment input is dominated by biogenic diatom rain, with minor contributions from aeolian, fluvial, ice-rafted, slumped, and tidal sources. The dataset was last updated by AU_AADC on November 30, 1995.
Five stratigraphic units of the Triassic Beacon Supergroup at Mt Bastion were investigated to determine paleohydraulic river regimes. The study, conducted by SCIOPS, analyzed features of the sedimentary sequence to characterize the river system. Data was last updated in November 1981.
UK atmospheric deposition data contains 90 source footprints for nitrogen and sulphur, modelled from 2012 emissions using the FRAME dispersion model on a 5x5 km grid. The dataset splits deposition into wet/dry, oxidised/reduced, and local/long-range components, and provides habitat-specific data for forest, moorland, and grid average land cover types.
An augmented dataset of electric vehicle battery soldering images intended for computer vision tasks. The dataset is hosted on Kaggle and focuses on defect detection in manufacturing. Its author, organization, and specific scale are unknown.
CALCE-Battery-CS2 likely contains battery performance data from the Center for Advanced Life Cycle Engineering. The dataset is hosted on Kaggle, but its specific contents, such as the number of rows or measurement variables, are not detailed in the available metadata. Its origin suggests it may be used for analyzing battery degradation or failure modes.
J. Stejskal and collaborators from five institutions conducted standardized polymerizations of aniline to produce polyaniline. The dataset includes measurements of electrical conductivity, yield, and density for both polyaniline hydrochloride and its base form, along with data on conductivity changes during storage. The average conductivity of polyaniline hydrochloride was 4.4 ± 1.7 S cm⁻¹ across 59 samples.
Battery Point in Kelgaya Bay, Alaska, is covered by a high-resolution vector shoreline dataset compiled from imagery by the National Oceanic and Atmospheric Administration. The data, last updated in March 2026, includes line and point shapefiles attributed using the NGS-developed C-COAST scheme for GIS compatibility. This dataset is part of a larger NOAA shoreline mapping program.
A dataset on two-dimensional nanomaterials, likely including graphene, transition metal dichalcogenides (TMDs), MXenes, and hexagonal boron nitride (h-BN). It was published on Kaggle, but the specific collection date, author, and data volume are unknown. The columns and data structure are not described.
Thermal and nanoparticle properties for intelligent energy storage analysis. The dataset likely contains material characteristics relevant to phase change materials (PCMs). The author and organization are unknown.
An experimental study comparing poly(ethylene terephthalate glycol) (PETG) and poly(lactic acid) (PLA) for 3D printing applications. The dataset likely contains results from tensile tests on printed and injection-molded samples, alongside thermal (TGA, DSC) and chemical (FTIR) characterization data. It was created by Leonardo Santana and shared via the paperswithcode platform.
NASA Earthdata hosts an archaeological dataset from the "Cuatro Pircas" site on King George Island. The collection includes a map of the stone structure and a catalog of material remains like glass, metal, ceramic, leather, and seal skin. The data was contributed by the organization SCIOPS, documenting a camp likely dating to the early 1820s.
Argonne National Laboratory's dataset provides land use classification on a 1/6-degree by 1/4-degree grid covering the contiguous United States. It includes a dry deposition model for computing deposition velocities of sulfur dioxide and sulfate pollutants. The data was produced by the organization SCIOPS.
This database contains high-quality experimental data on materials from high-throughput experiments conducted at the National Renewable Energy Laboratory (NREL). Its mission is to enable the discovery of new materials with useful properties by releasing this data publicly. The specific number of rows and columns is not provided in the input.