Gas QC clean AI-training-safe

European Gas

The gas→power transmission story in one daily per-country table: gas storage fullness, gas-fired electricity generation and day-ahead power price - generation and price mapped from ENTSO-E bidding zones up to ISO country and joined to GIE storage.

167K
rows
18
zones
2017-2026
coverage
2.4 MB
download
Source
derived
Licence
Redistributable open data
Updates
Daily
Data through
2026-08-01
Quality
QC clean · 0 failures
Format
Apache Parquet + dictionary

Safe to train on

Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.

What's included

  • 3 variables per country × day: gas storage fullness, gas-fired generation, power price
  • ENTSO-E zones rolled up to ISO country (DE_LU→DE …) to join GIE storage
  • Long format; the gas-to-power chain for European energy traders
  • Source: GIE + ENTSO-E (reuse / CC-BY, derived)

Schema

ColumnTypeDescriptionFilledDistinct
zone str ISO country 100.0% 18
ts timestamp (UTC) Day 100.0% 3,136
variable str Gas storage fullness / Gas-fired generation / Power price 100.0% 3
value float Daily value 100.0% 55,149
unit str Unit (mixed) 100.0% 3
res_min int Native resolution (daily) 100.0% 1

Sample & preview

Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: derived (redistributable open data; attribution passes through - see our Licence).

Don't trust screenshots - drop the sample into your notebook right now.

import pandas as pd
df = pd.read_parquet("european-gas-power-nexus_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join
⬇ Download free Parquet sample or CSV for Excel
Coverage: 18 zones

AT · BE · BG · CZ · DE · DK · ES · FR · HR · HU · IT · LV · NL · PL · PT · RO · SE · SK