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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
813 datasets
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.
Experimental data from the IRPWind UNAFLOW project. The dataset was created to study the aerodynamic response and wake of a floating wind turbine subjected to large surge motion. It was authored by Alessandro Fontanella of Politecnico di Milano.
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.
A dataset on battery degradation, likely containing measurements related to battery performance over time. It was published on Kaggle by a user or entity associated with the identifier 'WZU LyuDongzhen'. The specific time range, data collection method, and number of observations are not provided in the available metadata.
1980 nationwide administration of the Armed Services Vocational Aptitude Battery (ASVAB) to American youth. The dataset was created by the Office of the Assistant Secretary of Defense (Manpower, Reserve Affairs, and Logistics) and is hosted on PapersWithCode. Columns likely contain aptitude scores and demographic information for participants.
A dataset related to the Western Aphasia Battery-Revised, a standardized clinical assessment tool for aphasia. The dataset is published on the paperswithcode platform and is authored by Andrew Kertesz. The license is closed, and specific details on size, format, and temporal coverage are unknown.
Alan S. Kaufman authored the Kaufman Assessment Battery for Children, a psychological assessment tool. The dataset likely contains test scores and related metrics from this battery, which is designed to measure cognitive and academic achievement in children. It is hosted on the paperswithcode platform, which aggregates resources for AI and machine learning research.
S. E. Henderson authored the Movement Assessment Battery for Children-2, a clinical assessment tool. The dataset likely contains quantitative and qualitative scores for evaluating motor coordination and skill development in children. Its specific scale, temporal coverage, and geographic origin are not detailed in the available metadata.
Experimental data from the British Geological Survey investigates the settling behavior of sand grains through non-Newtonian mud suspensions. The research aims to understand particle interactions to predict mud-content variations and reservoir quality in turbidite deposits. Results also inform models for pollutant flux to the seafloor.
Experimental data from the British Geological Survey investigates sand settling through colloidal mud suspensions to understand turbidity current dynamics. The research aims to predict lateral mud-content variations and reservoir quality in turbidite petroleum deposits. The dataset is associated with tags including Turbidite, Colloids, and Flow profile.
A dataset focused on semiconductor electronic properties, likely for quantum analysis. Published on Kaggle, the dataset's specific size, author, and update history are not detailed in the provided metadata. The raw description suggests the content involves quantum electronic property analysis.
A collection of experimental data from a physics study on seeding and controlling colloidal self-assembly using focused ion beam deposition. The data supports the findings discussed in the associated publication, with details on specific measurements and conditions available within the referenced paper. The row count, column count, and file formats are not specified in the provided metadata.
NASA Battery data likely contains experimental measurements related to energy storage materials. Published on Kaggle, its specific content and scale require verification after download. The dataset's origin suggests a focus on battery cell or component testing.
A research dataset likely examining the predictive validity of the Armed Services Vocational Aptitude Battery (ASVAB) test scores. The dataset was authored by John E. Hunter and is hosted on the paperswithcode platform. The specific content, scale, and temporal coverage require verification after download.
A dataset related to the rheology and processing of polymer nanocomposites, sourced from the paperswithcode platform. The dataset is authored by Ramanan Krishnamoorti. The specific data volume, format, and update history are not detailed in the available metadata.