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Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing
1,305 datasets
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.
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.
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.
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.
Crystal structure data for the integrin alpha V beta 3 protein, a key cell adhesion receptor, with an engineered coiled-coil tag. The dataset is associated with a research paper by Xue Dong and is hosted on the paperswithcode platform. Specific details on data volume, format, and measurement methods are not provided in the metadata.
A paper by Tadros Tharwat F. published on Papers with Code, focusing on the application of nanoparticles in pharmacology. The dataset likely contains research findings and metadata related to nanoparticles used as drug carriers. Specific details on data volume, columns, and file formats are not provided in the metadata.
PsychPress created the Executive Control Battery dataset. It likely contains behavioral or cognitive assessment data related to executive function. The dataset is published on the paperswithcode platform.
A dataset from paperswithcode related to the green synthesis and characterization of zero-valent iron nanoparticles using stinging nettle (Urtica dioica) leaf extract. The dataset author is Alireza Ebrahiminezhad. The temporal coverage and dataset size are unknown.
A dataset by Marshall B. Jones, published on paperswithcode, concerning the stabilization and definition of tasks within a performance test battery. The dataset likely contains metrics and parameters for evaluating system or component performance. Specific details on size, format, and temporal coverage are not provided in the metadata.
Jack Stuster authored a final report validating the Standardized Field Sobriety Test battery for blood alcohol concentrations below 0.10 percent. The dataset likely contains the analysis, results, and supporting data from this validation study. It is hosted on the paperswithcode platform.
A dataset concerning the structure of the SARS-CoV-2 polymerase, likely containing structural or genetic data. It is published on paperswithcode and authored by Hauke S. Hillen. The dataset's specific size, format, and update date are unknown.
An Object and Action Naming Battery is a dataset authored by Jackie Masterson and published on paperswithcode. The dataset likely contains standardized naming tasks for objects and actions, potentially used in cognitive or linguistic research. Its specific content, size, and format are unknown.