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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,213 datasets
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.
Environmental Information Data Centre provides meteorological data and ammonia concentration and deposition rates from an NH3 enhancement experiment in a tropical forest in central Sri Lanka. The dataset includes multi-height meteorological measurements, monthly passive sampler NH3 concentration readings, and modeled deposition rates using a bi-directional resistance model. The work was supported by UKRI GCRF South Asian Nitrogen Hub.
2017-2019 UK data maps the Average Accumulated Exceedance of critical loads for acidity across eight habitats and nutrient nitrogen across thirteen habitats. It quantifies excess atmospheric deposition above levels set to protect sensitive ecosystems at a 1x1 km resolution, derived from 5x5 km concentration-based deposition estimates.
Queensberry, Sri Lanka hosts this dataset of meteorological conditions, ammonia concentration, and modeled deposition rates from a controlled NH3 enhancement experiment in a tropical forest. It contains continuous 15-minute interval data on NH3 release, air concentration, and micrometeorology from 2023 to 2024, supporting the study of vegetation tolerance thresholds. The work was conducted by the Environmental Information Data Centre with support from the UKRI GCRF South Asian Nitrogen Hub.
90 source footprints of nitrogen and sulphur deposition across the UK on a 5 x 5 km grid, derived from 2012 emissions data. The dataset provides minimum, maximum, and gridded average deposition values for Special Areas of Conservation, Special Protection Areas, and Sites of Special Scientific Interest. Pollutants are split into wet and dry deposition, with habitat-specific data for forest, moorland, and grid average land cover types.
Two 1x1 km resolution maps quantify excess acid and nitrogen deposition above ecological tolerance thresholds for UK habitats. The dataset includes exceedance calculations for eight acidity-sensitive and thirteen nutrient nitrogen-sensitive habitats, derived from 5x5 km UK deposition data for 2015-2017. It was generated under Defra funding to assess habitat risk from atmospheric pollutants.
United Kingdom 1x1 km resolution maps quantify the exceedance of critical loads for acidity across eight habitats and for nutrient nitrogen across thirteen habitats. The data calculates Average Accumulated Exceedance (AAE) using 5x5 km deposition estimates from 2014 to 2016 to assess environmental risk from atmospheric pollutants.
1x1 km resolution maps quantify the excess acid and nitrogen deposition above protective thresholds for sensitive UK habitats. The dataset contains Average Accumulated Exceedance (AAE) calculations for eight acidity-sensitive and thirteen nutrient nitrogen-sensitive habitats, derived from 5x5 km UK deposition data for 2016-2018. It was generated by the Environmental Information Data Centre to inform government policy on reducing emissions of sulfur dioxide, nitrogen oxides, and ammonia.