You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Access this dataset by providing your details below. You'll get instant access to the free sample (100 records). Contact data@alerterra.com for the full dataset.
Log in or Sign Up to review the conditions and access this dataset content.
Geopolitical Energy Disruption Scenarios
Strait closures, pipeline sabotage, and sanctions with energy market modeling
Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026
Overview
This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 70 records across 25 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.
100% synthetic — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.
Use Cases
- Stress-test energy portfolios against geopolitical scenarios
- Train energy price disruption models
- Support strategic reserve policy analysis
- Model supply route alternatives under conflict
- Validate energy security early warning systems
Dataset Structure
| Metric | Value |
|---|---|
| Records | 70 |
| Fields | 25 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |
Fields
| Field | Type | Description |
|---|---|---|
scenario_id |
object | Scenario Id |
scenario_name |
object | Scenario Name |
disruption_type |
object | Disruption Type |
trigger_region |
object | Trigger Region |
trigger_country |
object | Trigger Country |
energy_commodity |
object | Energy Commodity |
supply_reduction_pct |
float64 | Supply Reduction Pct |
supply_reduction_mmbpd |
float64 | Supply Reduction Mmbpd |
duration_estimate_days |
int64 | Duration Estimate Days |
price_impact_pct |
float64 | Price Impact Pct |
affected_trade_routes |
object | Affected Trade Routes |
affected_importers |
object | Affected Importers |
strategic_reserve_drawdown |
bool | Strategic Reserve Drawdown |
spr_days_coverage |
float64 | Spr Days Coverage |
substitution_available |
bool | Substitution Available |
alternative_routes |
object | Alternative Routes |
economic_gdp_impact_pct |
float64 | Economic Gdp Impact Pct |
inflation_impact_pct |
float64 | Inflation Impact Pct |
industrial_shutdown_risk |
object | Industrial Shutdown Risk |
electricity_grid_impact |
object | Electricity Grid Impact |
geopolitical_escalation_risk |
float64 | Geopolitical Escalation Risk |
military_response_probability |
float64 | Military Response Probability |
insurance_market_impact |
object | Insurance Market Impact |
historical_precedent |
object | Historical Precedent |
severity |
float64 | Severity |
Sample Data
This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.
Pricing
| Tier | Details |
|---|---|
| Sample | Free (100 records) |
| Standard | $10,000 |
| Professional | $30,000/year |
| Enterprise | $50,000-$150,000/year |
Methodology
Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.
Citation
@dataset{alerterra_energy_disruption_2026,
title = {Geopolitical Energy Disruption Scenarios},
author = {Alerterra Intelligence},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/alerterra/energy_disruption}
}
Contact
- Website: alerterra.com
- Data inquiries: data@alerterra.com
- Enterprise: enterprise@alerterra.com
- Downloads last month
- 4