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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,305 datasets
Battery is a dataset hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm its scope and structure.
Kaggle hosts a dataset titled 'Semiconductors'. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its columns, row count, and license information are unknown.
Lawrence Berkeley National Laboratory compiled data on 1,760 U.S. ground-mounted solar projects installed through 2024. The synthesis covers deployment trends, capital costs, capacity factors, LCOE, PPA prices, and wholesale market value for PV, PV+battery, and CSP plants exceeding 5 MWAC.
Texas Data Repository Harvested Dataverse hosts data from research on fabricating stable, high-performance silicon-based photoanodes for solar-driven water splitting. The work, authored by Yu, Edward, demonstrates a system achieving a 6.9% solar-to-hydrogen conversion efficiency under simulated sunlight. The dataset was last updated on October 15, -2025.
MLDS-NUS provides experimental image data related to polymer dynamics. The dataset was last updated on 2025-10-17. The description includes a script for calculating left-right boundaries from image arrays, suggesting the data is used for analyzing material behavior.
A dataset from the Texas Data Repository Harvested Dataverse by Dookhith, Aaliyah, last updated on 2025-10-15. It contains data from a study on polymer networks, exploring how Reversible Deactivation Radical Polymerizations (RDRPs) affect gelation kinetics, phase separation, and mechanical properties compared to conventional methods.
SANCHEZ DE ROJAS CANDELA, CARMEN studied the wear behavior of DED additively manufactured 316L/SiC composites reinforced with 20-80 wt.% of SiC ceramic particles, comparing them with 316L stainless steel. The dataset likely contains measurements of microstructure, microhardness, friction coefficient, mass loss, and wear rate, with correlations between these properties. The data was harvested to e-cienciaDatos and last updated on 2025-11-09.
Riquelme Aguado, Ainhoa studied the influence of additive manufacturing process parameters on composite properties. The research likely contains data on laser power, scanning speed, and their effects on geometry, microstructure, and hardness for composites with 20-80 wt.% reinforcement. The dataset was harvested from e-cienciaDatos Dataverse and last updated on 2025-11-09.
Begoña Fernández Pintor's dataset from 2025 includes information on honey samples and synthesized polymers for a study on detecting atropine and scopolamine. It contains results for optimizing a solid-phase extraction procedure, validating the methodology, and comparing conditions with other authors. The dataset also reports the concentrations of the two alkaloids found in the honey samples using the proposed analytical method.
Experimental data assesses the effectiveness of the bioactive compound resveratrol as a dispersing agent for graphene in aqueous solutions. The interaction was investigated via absorbance, fluorescence, and Raman measurements, with dispersions prepared via sonication and centrifugation. Results indicate resveratrol can effectively disperse graphene up to 10 mg L-1, with performance characterized across different solvents and graphene-to-resveratrol ratios.
A project by Daniel Valdés Blas focuses on developing a reliable, 3D-printed test specimen that replicates the mechanical behavior of biodegradable metallic stents. The work combines additive manufacturing, mechanical testing, and finite element simulations to create a standardized evaluation method. The dataset was last updated on October 14,我们发现2025.
A review article explores advancements in additive manufacturing of biodegradable iron and zinc alloys for medical implants. The work focuses on Laser Powder Bed Fusion processing to optimize microstructure, mechanical performance, and corrosion behavior. Author Irene Limón Velo contributed this review, which was last updated on October 14, 2025.
Results for the development and characterization of SBA-15 imprinted polymers for spiramycin analysis. The database includes gradient programs, textural property results, and solvent effect comparisons on analyte recovery. It was authored by Lorena González Gómez and last updated on October 14, 2025.
3D-ADAM contains between 1,000 and 10,000 records for anomaly detection in additive manufacturing, published by pmchard in 2025. The data includes raw 3D part-instances and a single-camera subset captured via MechMind-Nano sensors for unsupervised training tasks.
The dataset likely contains the rates of import and export duty for goods entering and leaving Ukraine's customs territory. Rates are established by specific Ukrainian laws, including the Law of Ukraine of June 4, 2020, 674-IX 'On the Customs Tariff of Ukraine'. The data is provided by the States site of Ukraine and was last updated on September 23, 2025.
aLLoyM Training Dataset was used to fine-tune the aLLoyM model, which is based on Mistral. The dataset is structured in JSONL format, with each line containing a conversation sequence of system instruction, user question, and assistant response. The dataset was authored by Playingyoyo and last updated on September 29, -2025.
Laying out experimental data on a bio-based dithiolane ink for light-based 3D printing, analyzed across macro and microscale fabrication techniques. The work demonstrates the material's printability and controlled thermal depolymerisation, representing a novel, sustainable alternative to (meth)acrylate-based inks.
A dataset from Texas Data Repository Harvested Dataverse presents a novel aerosol-assisted deposition technique for self-assembling nano and microparticle monolayers. The method achieves a monolayer self-assembly rate of 268 cm² min⁻¹ from a single source, representing a 93× increase over prior methods. The dataset, authored by Edward Yu and last updated in October 2025, includes insights into the physical mechanism and fabrication of ordered arrays from particles of various sizes, materials, and surface functionalities.
A structured bibliography and catalyst parameter database compiled from a review article on scorpionate-based catalytic systems. The dataset organizes references with author comments and includes separate tabs detailing catalyst activity, temperature, and load parameters. Author Luis F. Sánchez-Barba published this collection via e-cienciaDatos Harvested Dataverse in October 2025.
SANCHEZ DE ROJAS CANDELA, CARMEN presents a study on the relationship between carrying gas type and process parameters in Direct Laser Deposition Additive Manufacturing for Ti/TiN composite materials. The dataset was harvested from e-cienciaDatos and last updated on 2025-10-14. It likely contains experimental data on fabrication parameters and their impact on composite material properties.