Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale longitudinal time series dataset containing temporal sequences, event histories, behavioral patterns, and sequential records designed for forecasting, predictive analytics, machine learning, and AI applications.
Overview
Longitudinal Time Series Dataset for Predictive Analytics
Overview
This dataset is a large-scale collection of longitudinal time series and temporal sequence data designed to support predictive analytics, forecasting, machine learning, artificial intelligence, and advanced data science applications.
The dataset contains sequential observations collected over time, enabling analysis of trends, behavioral patterns, event progression, temporal dependencies, and long-term outcomes. The longitudinal structure allows organizations to study how entities, behaviors, events, and metrics evolve across multiple time periods.
The collection provides valuable temporal context for building models that require historical continuity, sequence awareness, and time-dependent reasoning.
Key Features
- Longitudinal observations
- Time series records
- Temporal sequences
- Event histories
- Historical progression data
- Sequential behavior patterns
- Multi-period observations
- Structured analytical data
- Large-scale temporal corpus
Applications
- Time Series Forecasting
- Predictive Analytics
- Trend Analysis
- Sequence Modeling
- Temporal Reasoning
- Behavioral Analytics
- Risk Prediction
- Demand Forecasting
- Business Intelligence
- Decision Intelligence
- Machine Learning
- Artificial Intelligence
Dataset Coverage
The dataset captures information across multiple time periods, enabling analysis of:
- Historical trends
- Event progression
- Behavioral evolution
- Sequential interactions
- Temporal dependencies
- Pattern discovery
- Longitudinal outcomes
- Time-dependent changes
The continuity of observations makes the dataset particularly valuable for applications requiring historical context and predictive modeling.
AI & Analytics Applications
Organizations can leverage this dataset to develop forecasting models, anomaly detection systems, recommendation engines, predictive intelligence solutions, and temporal AI systems capable of understanding patterns that evolve over time.
The longitudinal structure supports next-generation AI applications that require sequential learning, temporal awareness, and historical context to generate accurate predictions and insights.
Research & Development
The dataset can support research in:
- Time Series Analysis
- Forecasting
- Predictive Modeling
- Temporal Data Mining
- Sequence Learning
- Behavioral Analytics
- Longitudinal Studies
- Artificial Intelligence
- Machine Learning
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete dataset are available upon request.
InfoBay AI
Email: datareq@infobay.ai Phone: +91 8303174762
Highlights
- Large-scale longitudinal dataset containing temporal sequences, event histories, behavioral records, and time-dependent observations collected over extended periods.
- Supports forecasting, predictive modeling, trend analysis, anomaly detection, sequence learning, temporal reasoning, and longitudinal analytics workflows.
- Designed for machine learning, AI model training, time series forecasting, customer behavior analysis, risk modeling, and decision intelligence applications.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Longitudinal Time Series Dataset for Predictive Analytics | All historical revisions | All future revisions | Not included | Not included |
Similar products
Dataset associated with the 2021 AAAI Paper- Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. The dataset contains 3 image sequences of aerial imagery from 386 farm parcels which have been annotated for nutrient deficiency stress.
Sample repository from a longitudinal HIV clinical dataset containing patient demographics, CD4 counts, viral load measurements, treatment regimens, comorbidities, WHO staging, and clinical outcomes for healthcare analytics and research.
Using a statistic population health model generator, this data set is made up of highly realistic, but synthetic patient data that can be used for testing purposes without risk of disclosing PHI (protected health information). This dataset is for single organization use only. Please contact us for more information on synthetic datasets for multi-partner use, FHIR server options available for testing, or hand curated datasets to meet your needs.
Using a statistic population health model generator, this data set is made up of highly realistic, but synthetic patient data that can be used for testing purposes without risk of disclosing PHI (protected health information).
This dataset is for single organization use only. Please contact us for more information on synthetic datasets for multi-partner use, FHIR server options available for testing, or hand curated datasets to meet your needs.