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Manufacturing & Industrial

Predictive maintenance, quality control, supply chain, industrial sensors, factory automation

826 datasets

ABB IRB 1100 Robot Synthetic Data for Predictive Maintenance

2,000 simulated instances with 215 features monitor electrical, mechanical, thermal, and vibration parameters of an industrial robot. Mohamed Lamine Soudani generated this synthetic dataset to address the scarcity of real-world failure data, achieving an F1-macro score of 0.7625 with LightGBM. The dataset enables fault identification and severity-level validation for three defect types.

TabularCSVPredictive MaintenanceMachine LearningIndustrial RoboticsSynthetic DataManufacturingSynthetic+1

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Manufacturing & Industrial

ABB IRB 1100 Robot Synthetic Data for Predictive Maintenance

Mohamed Lamine Soudani published a synthetic dataset for predictive maintenance of industrial robots on figshare in May 2026. The dataset comprises 2,000 instances and 215 explanatory characteristics generated from a simulation model of an ABB IRB 1100 robot's six axes. It includes simulated multisensory signals monitoring electrical, mechanical, thermal, and vibration parameters.

TabularCSVPredictive MaintenanceMachine LearningIndustrial RoboticsSynthetic DataManufacturingSynthetic+1

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Manufacturing & Industrial

ABB IRB 1100 Robot Synthetic Predictive Maintenance Data with 2,000 Instances

A synthetic dataset of 2,000 instances and 215 features simulating sensor data from an ABB IRB 1100 industrial robot. It was created by Mohamed Lamine Soudani via a simulation model incorporating six robot axes and sensors for electrical, mechanical, thermal, and vibration parameters. The dataset, last updated in May 2026, is designed for fault detection and severity-level validation.

TabularCSVPredictive MaintenanceIndustrial RoboticsFault DetectionSynthetic DataManufacturingSynthetic+1

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Manufacturing & Industrial

ABB IRB 1100 Robot Synthetic Fault Data with 215 Features

A dataset of 2,000 synthetic instances simulating multisensory signals from an ABB IRB 1100 industrial robot's six axes. Created by Mohamed Lamine Soudani, it includes 215 explanatory characteristics monitoring electrical, mechanical, thermal, and vibration parameters for predictive maintenance research.

TabularCSVPredictive MaintenanceMachine LearningIndustrial RoboticsSynthetic DataAbb RobotSynthetic+1

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Manufacturing & Industrial

Vibration and Instability Analysis of Ellipsoidal Nanoshells via Finite Element Method

A 2026 study by Piyawat Suwankornkij presents a finite element analysis of axisymmetric free vibration in closed ellipsoidal nanoshells. The work investigates natural frequencies, mode shapes, and instability phenomena for oblate, spherical, and prolate geometries under uniform external pressure. Results are based on the modified couple stress theory and examine the effect of aspect ratio and size-dependent length scale.

TabularFinite Element MethodSize Dependent EffectsVibration AnalysisShell StructuresNanomechanics+1

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Manufacturing & Industrial

Reflectin-Derived Peptide Self-Assembly Data for Bioinspired Optical Materials

DataSheet1_Hierarchical self-assembly of a reflectin-derived peptide contains data on the molecular self-assembly of the protopeptide sequence YMDMSGYQ, a basic unit of reflectin proteins. The dataset includes experimental and theoretical characterizations of supramolecular hydrogels and films triggered by environmental cues, contributed by Ana Margarida Gonçalves Carvalho Dias and last updated in June 2026. It supports an atomistic aggregation model mediated by tyrosine residues and reports on the optical activity of peptide-derived films.

TextBioinspired MaterialsOptical PropertiesProtein Self AssemblyPeptide SequencesSupramolecular Hydrogels+1

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Manufacturing & Industrial

Case Report: Olfactory Groove Meningioma Following Cranial Radiotherapy

A 38-year-old female Ewing sarcoma survivor developed a rare olfactory groove meningioma just 10 months after cranial radiotherapy. The case report includes detailed clinical presentation, multimodal treatment history, imaging findings, and histopathological confirmation. This single-case document was authored by figshare admin karger and published under a CC-BY-4.0 license on June 1, 2026.

TextTime SeriesMedical Case ReportMeningiomaOncologyEwing SarcomaRadiation Oncology+1

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Manufacturing & Industrial

ABB IRB 1100 Robot: Synthetic Predictive Maintenance Data with 2,000 Instances

2,000 synthetic instances with 215 explanatory characteristics simulate sensor data for an ABB IRB 1100 industrial robot. The dataset was created by Mohamed Lamine Soudani via a sophisticated simulation model and published on figshare in May 2026. It is designed for detecting and classifying failures, including overheating, misalignment, and gear wear across three severity levels.

TabularZIPPredictive MaintenanceIndustry 4 0Industrial RoboticsFault DetectionSynthetic DataSynthetic+1

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Manufacturing & Industrial

Gearbox Pinion Tooth-Break Severity Data for Predictive Maintenance

An experimental dataset covering combinations of load, speed, and failure severity for spur gearboxes. The data, published by Antonio Pérez-Torres on figshare, is used to validate a dynamic principal component analysis methodology for early failure detection. It contains vibration signals characterized using condition indicators in the time and frequency domains.

TabularExcelPredictive MaintenanceVibration AnalysisCondition MonitoringMechanical EngineeringGearbox FailureIndustrial Machinery+1

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Manufacturing & Industrial

Spur Gearbox Vibration Signals for Failure Detection Under Varying Load and Speed

An experimental dataset covering combinations of load, speed, and failure severity for spur gearboxes. The data, shared by Antonio Pérez-Torres on figshare, is characterized using condition indicators from vibration signals in time and frequency domains. It was last updated on 2026-05-18 and is licensed under CC-BY-4.0.

TabularExcelPredictive MaintenanceVibration AnalysisCondition MonitoringMultivariate StatisticsGearbox Failure+1

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Manufacturing & Industrial

Associated Water Volumes for P&G Wells in the Surat Cumulative Management Area

Monthly associated water volumes are reported by coal seam gas and conventional development tenure holders to the Office of Groundwater Impact Assessment (OGIA) every six months. The data, which includes historical records synthesized from submissions to the Department of Resources, undergoes quality control and assurance checks by OGIA before publication. This export is updated every six months and uses the GDA94 datum.

TabularTime SeriesExcelWater managementGroundwaterCoal Seam GasSurat BasinResource Extraction+1

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Manufacturing & Industrial

Ontario Mobile Phone Supply Chain Model Results for Profit and Delivery Optimization

Ontario's mobile phone industry is modeled using a distributionally robust bi-level closed-loop supply chain network. The model achieves a profit of CAD 92.55 million and a 97.16% on-time delivery rate under a 5% capacity fluctuation scenario. It was created by Qianxue Zhang and published on figshare in May 2026.

TabularMobile Phone IndustryOperations ResearchFinanceLarge ScaleSupply Chain OptimizationDistributionally Robust OptimizationBenders Decomposition+1

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Manufacturing & Industrial

Sentinel-3 OLCI: Daily Ocean Remote Sensing Reflectance for Australia

CSIRO-produced daily satellite measurements of above-water spectral remote sensing reflectance for Australian coastal waters. The data is derived from Sentinel-3 OLCI Level 2 geophysical quantities, reprojected to a regular grid with approximately 1000-meter pixel resolution. Standard and additional quality flags are provided for data control, though not pre-applied to mask the data.

Geospatial🇦🇺 AustraliaSatellite ImageryOcean ColorWater Quality+1

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Manufacturing & Industrial

Chemical Fingerprints for Boerhavia Diffusa Quality Control in India

RP-HPLC fingerprinting data for 21 samples of the medicinal herb Boerhavia diffusa L. (Punarnava) collected from wild and market sources across India. The dataset includes concentrations of key phytomarkers β-ecdysone and boeravinone B and results from multivariate chemometric analyses. Author Mridul Kant Chaudhary published the study on figshare under a CC-BY-4.0 license, with a last update in 2026.

TabularChemometricsHplc FingerprintingHerbal MedicineQuality controlPhytochemistry+1

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Manufacturing & Industrial

Honey Bee Olfactory Conditioning Responses to Spinosad Exposure

Spinosad exposure reduced proboscis extension reflex response by about 25% in honey bees at 20 minutes post-conditioning. This dataset likely contains results from an automated, microcontroller-based device used to assess the effect of two lethal concentrations (LC0.2 and LC20) of spinosad on olfactory learning in groups of twenty worker bees. The data was authored by Gabriele Rondoni and published on figshare under a CC-BY-4.0 license in May 2026.

TabularTime SeriesBioinsecticideProboscis Extension ReflexHealthcareHoney Bee HealthPesticide EffectsAssociative Learning+1

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Manufacturing & Industrial

Dynamic Closed-Loop Supply Chain Simulation Data from a Differential Game Model

A 9.1 KB dataset from a paper analyzing a three-level dynamic closed-loop supply chain differential game model. The data, authored by Qing Ma and last updated in May 2026, likely contains results from numerical simulations exploring the impact of consumer purchase and replacement regret on wholesale price, retail price, and return effort.

TabularSimulationSupply ChainDifferential GameConsumer behaviorManufacturing+1

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Manufacturing & Industrial

Summary of Notations for a Three-Level Dynamic Closed-Loop Supply Chain Model

5.5 KB of data in XLS format, published on figshare by Qing Ma in May 2026. The dataset contains notations and results from a differential game model analyzing a three-level dynamic closed-loop supply chain. It explores the impact of consumer purchase and replacement regret on wholesale price, retail price, and return effort.

TabularExcelSupply ChainDifferential GameManufacturingConsumer Regret+1

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Manufacturing & Industrial

ArsR Protein Arsenic Binding Affinities for Nine Homologs

Liang Cui developed a biomimetic self-assembly method to quantify arsenic binding affinities for nine ArsR protein homologs from the bacterium Rhodopseudomonas palustris CGA009. The dataset includes affinity constants and phylogenetic subgroup classifications, revealing functional diversity in arsenic-binding behavior. The data was last updated on May 22, 2026, and is shared under a CC-BY-4.0 license.

TabularArsenic BindingBiomimetic AssemblyBioremediationMicrobial ResistanceProtein Affinity+1

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Manufacturing & Industrial

De Novo Engineered Living Materials via ELP-Mediated Self-Assembly

Sarah B. Browning engineered Escherichia coli to display elastin-like polypeptides (ELPs), creating self-assembling living materials. The dataset, last updated on 2026-05-28, likely contains experimental results from tuning ELP polarity to generate assemblies from micrometer to centimeter scales. It includes data on controllable flocculation, filtration time reduction by more than 3-fold, and maintained ethanol production in small-scale fermentation.

TabularZIPSelf AssemblyEngineered Living MaterialsFermentationSynthetic BiologyElastin Like Polypeptides+1

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Manufacturing & Industrial

NASA Electrolytic Capacitor Degradation Data for Prognostics

NASA's dataset provides experimental data from an accelerated aging test on a set of identical electrolytic capacitors subjected to electrical overstress. The data forms the basis for developing a Kalman-filter-based algorithm to predict the component's remaining useful life. This case study supports a model-driven prognostics methodology for these critical, low-reliability electrical components.

ImageTabularTime SeriesPrognosticsAmesElectrical ComponentsNasaHealthcareDashlinkKalman FilterAccelerated AgingElectrolytic CapacitorsRemaining Useful Life+1

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