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Materials Science

Materials properties, battery data, semiconductor, alloys, polymers, additive manufacturing

813 datasets

Materials Science

Lithium Battery Parameters for State of Charge Estimation

A dataset containing parameters for lithium-ion batteries used to evaluate state of charge (SOC). It was created by Huipin Lin and last updated on June 4, 2026. The data was used in experiments with Dynamic Stress Test (DST), US06, and Federal Urban Driving Scheme (FUDS) datasets.

TabularTime SeriesExcelBenchmarkLithium BatteryBattery ManagementElectric VehiclesState Of Charge+1

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Materials Science

H-ferritin Nanoparticle-Mediated Antibody Delivery Across the Blood-Brain Barrier

A research document details the generation and evaluation of H-ferritin nanoparticles for delivering monoclonal antibodies across the blood-brain barrier. The study, authored by Ziwei Yuan, includes in vitro and in vivo assessments of structural integrity, target binding, and pharmacokinetics in humanized mouse models. The dataset was last updated on June 3, 2026, and is shared under a CC-BY-4.0 license.

TextTherapeutic AntibodiesBenchmarkBlood-brain barrierHealthcareNanoparticle DeliveryPharmacokineticsNeuroscienceSynthetic+1

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Materials Science

A123 Cell Specifications: Battery Performance Data for SOC and RUL Modeling

Two A123 LiFePO4 pouch cells were experimentally characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset, created by Parisa Mobasheri and last updated in June 2026, likely contains measurements for developing a unified framework integrating SOC estimation, degradation modeling, and probabilistic reliability assessment. The file size is 5.5 KB, suggesting a limited scope of experimental results.

TabularExcelLithium IonBattery PerformanceExperimental DataState Of ChargeRemaining Useful Life+1

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Materials Science

Validation of SOC Estimation: Lithium-Ion Battery Test Data

Experimental data from two A123 LiFePO4 pouch cells characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset, authored by Parisa Mobasheri and last updated in June 2026, supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It is a small dataset (5.5 KB) stored in an XLS file format.

TabularExcelDegradation ModelingReliability AssessmentBattery State Of ChargeExperimental DataLithium Ion Batteries+1

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Materials Science

A1-007-DST(25)-US06-FUDS-20120827: Lithium-Ion Battery Test Data for SOC and RUL Modeling

Experimental data from two A123 LiFePO4 pouch cells characterized under low-current and dynamic driving cycles across multiple temperatures. The dataset supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It was authored by Parisa Mobasheri and last updated on June 1, 2026.

TabularExcelBattery DegradationReliability ModelingState Of ChargeLithium Ion BatteriesRemaining Useful Life+1

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Materials Science

A1-007-DST(−10)-US06-FUDS-20120829: Lithium-Ion Battery Test Data Under Dynamic Loads

Experimental data from 2012 characterizing two A123 LiFePO4 pouch cells under low-current and dynamic driving cycles (DST, US06, FUDS) across multiple temperatures. The dataset, created by Parisa Mobasheri and last updated in 2026, supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It includes results demonstrating voltage estimation errors below 0.02 V and significant life divergence between nominally identical cells.

TabularExcelLithium IonDegradation ModelingBattery TestingState Of ChargeRemaining Useful Life+1

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Materials Science

A1-007-OCV(50)-20120702: Lithium-Ion Battery Test Data for SOC and RUL Modeling

Parisa Mobasheri published experimental data from two A123 LiFePO4 pouch cells in June 2026. The dataset likely contains measurements from low-current open-circuit voltage (OCV) protocols and dynamic driving cycles (DST, US06, FUDS) across multiple temperatures. It supports the development of state-of-charge estimation, degradation modeling, and probabilistic reliability assessment frameworks.

TabularExcelBattery DegradationReliability ModelingState Of ChargeLithium Ion BatteriesRemaining Useful Life+1

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Materials Science

A1-007-OCV(25)-20120905: Lithium-Ion Battery Test Data Across Multiple Temperatures

Two A123 LiFePO4 pouch cells were experimentally characterized using low-current open-circuit voltage (OCV) protocols and dynamic driving cycles across multiple temperatures. The dataset supports a unified framework integrating SOC estimation, degradation modeling, and probabilistic reliability assessment, demonstrating voltage estimation errors below 0.02 V and significant life divergence between nominally identical cells. Authored by Parisa Mobasheri and shared on figshare under a CC-BY-4.0 license, the data was last updated on 2026-06-01.

TabularExcelBattery ReliabilityEnergy StorageBattery State Of ChargeLithium Ion DegradationElectric Mobility+1

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Materials Science

<p>A1-007-OCV(−10)-20120629.</p>

Experimental data from two A123 LiFePO4 pouch cells characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset, created by Parisa Mobasheri and last updated on 2026-06-01, supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It includes results demonstrating voltage estimation errors below 0.02 V and significant life divergence between nominally identical cells.

TabularExcelBattery DegradationReliability ModelingState Of ChargeLithium Ion BatteriesRemaining Useful Life+1

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Materials Science

A1-007-DST(50)-US06-FUDS-20120824: Lithium-Ion Battery Test Data for SOC and RUL Modeling

Two A123 LiFePO4 pouch cells were experimentally characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset supports a unified framework integrating state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It was authored by Parisa Mobasheri and last updated on 2026-06-01.

TabularExcelBattery ReliabilityBattery State Of ChargeKalman FilterLithium Ion DegradationElectric Mobility+1

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Materials Science

Stratigraphy of the Cretaceous/Paleogene Boundary at Lord Howe Rise, Southwest Pacific

Biostratigraphic, magnetostratigraphic, and geochemical data from Deep Sea Drilling Project Site 208 cores on the Lord Howe Rise. The dataset constrains stratigraphy around the Cretaceous/Paleogene boundary, providing measurements of calcareous nannofossils, carbonate carbon isotopes, and osmium concentrations. Data was published in GSA Bulletin in 2021 by researchers including Junichiro Kuroda.

TabularDeep Sea DrillingBiostratigraphyStratigraphyCretaceous Paleogene BoundaryGeochemistry+1

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Materials Science

Development of Rapid Multiplex Human Herpesvirus Detection Systems

A research document describes three molecular detection systems for human herpesviruses (HHVs) developed by Yidan Sun. The systems include an Octaplex PCR, a Quadruplex RPA, and a Duplex RPA-LFA assay, each with defined sensitivity levels and reaction times. The document was last updated on 2026-05-26.

TextMolecular DiagnosticsHealthcareCell CultureVirus DetectionHuman Herpesvirus+1

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Materials Science

Redox Flow Battery Data for Coupled Energy Storage and Chemical Production

An open-loop flow battery couples energy storage with the production of value-added chemicals. The dataset includes performance data for a system pairing VO2+/VO2+ with ethylene glycol conversion, demonstrating >100% voltage efficiency and stability over 200 cycles. Author Yucong Miao published the data on figshare in June 2026 under a CC-BY-4.0 license.

TabularExcelChemical ManufacturingRenewable EnergyRedox Flow BatteryElectrochemistryEnergy StorageFinance+1

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Materials Science

PTMA Polymer Electrochemical Properties by Tacticity

210.1 KB of data on isotactic, atactic, and syndiotactic poly(2,2,6,6-tetramethylpiperidinyloxy methacrylate) (PTMA) synthesized by anionic polymerization. The dataset likely contains electrochemical analysis results, including specific capacity and energy measurements, reaction diffusion kinetics, and EQCM-D mass transfer data. It was published by Chen Wang on figshare under a CC-BY-4.0 license and last updated on 2026-05-21.

TabularZIPPolymer ScienceElectrochemical PropertiesEnergy StorageMaterials Science+1

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Materials Science

Bulk Anisotropic Ionic Conductors Based on Mg-Doped Bi4Ti3O12

Florian Bouville provides raw data for a study on highly textured Mg-doped Bi4Ti3O12-based ceramics. The dataset includes measurements of anisotropic ionic conductivity and mechanical properties, showing a conductivity of 10^-2 S/cm perpendicular to the texture direction at 700°C. The data was last updated on 2026-05-28.

TabularExcelCeramicsAurivillius PhaseAnisotropic PropertiesIonic ConductorsMaterials Science+1

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Materials Science

Polyacrylamide Gel Data for Toughening Cement-Based Materials

Experimental data on polyacrylamide (PAM) gel properties under mixed-salt conditions for cement toughening. The dataset, authored by Hongrong Li and last updated in May 2026, includes results showing tensile strength and toughness increases of over 116% and 143% at specific salt concentrations. It proposes a 'double salt effect' mechanism for enhancing cement-based material performance.

TextGeospatialPolymer ChemistryCement TougheningIn Situ PolymerizationMaterials Testing+1

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Materials Science

Sub-nanometer PtSn Alloyed Clusters for Propane Dehydrogenation Performance Data

904.6 MB of data from figshare details a catalyst achieving about 1 molC3H6·gcatalyst-1·h-1 propylene productivity at 165 h⁻¹ weight-hourly space velocity for over 300 hours. Author Shangchen Lu uploaded the dataset on 2026-05-27 under a CC-BY-4.0 license. The research attributes high performance to the electronic structures of Pt sites within sub-nm alloyed clusters.

TabularZIPPropane DehydrogenationPtsn ClustersChemical EngineeringCatalysisMaterials Science+1

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Materials Science

Titanium Alloy Turning Data for Surface Roughness Analysis

Tanujai Navaneethan's dataset contains experimental results from 45 physical turning tests on Ti-6Al-4V alloy. The research aimed to determine optimum cutting parameters for surface roughness and analyze chip morphology using coated carbide tools with three nose radii. Data was analyzed using Design Expert software to create 3D graphs and validate statistical models.

TabularExcelSurface RoughnessTitanium AlloyManufacturingMachining+1

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Materials Science

Hyaluronic Acid-Functionalised Nanoparticle Characterization and Efficacy Data

Experimental data from the development and testing of hyaluronic acid-functionalised solid lipid nanoparticles for rheumatoid arthritis therapy. The dataset includes characterization results for optimised nanoparticles, such as a particle size of 412.8 nm and an entrapment efficiency of 94.6%, as well as ex vivo and in vivo efficacy studies in arthritic rats. The work was authored by Mangesh R. Bhalekar and last updated on 2026-05-19.

ImagePreclinical StudyPharmacokineticsNanoparticlesRheumatoid ArthritisDrug Delivery+1

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Materials Science

FDM Additive Manufacturing for Zirconia Ceramics with Mechanical and Color Test Data

Yuqiang Zhang's doctoral research at The University of Hong Kong Faculty of Dentistry produced this dataset. It contains raw and processed data from mechanical, color, and bond strength tests on zirconia filaments and printed components, including sample images and simulation files. The dataset is 951.2 MB and was last updated on June 1, 2026.

ImageTabularZIPTextAdditive manufacturingDental ProsthesesMechanical TestingZirconia Ceramics+1

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