Register record·API·FRVERIFIED · checked 3d ago
T
Tracés des réseaux de chaleur par France Chaleur Urbaine
Trust score
How is this computed?40
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Filterable via the API (7)
taux_enr_rid_reseaugestionnaico2co2_acvnom_reseaures_classe
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic center point coordinates of the heating network.Geographic center point coordinates of the heating network. |
| geo_shapeShape | geo_shape | Geometric shape of the heating network route.Geometric shape of the heating network route. |
| taux_enr_rTaux enr r | double | Percentage of renewable and recovered energy in the network.Percentage of renewable and recovered energy in the network. |
| id_reseauId reseau | text | Unique identifier code of the heating network.Unique identifier code of the heating network. |
| gestionnai | text | Name of the entity managing the heating network.Name of the entity managing the heating network. |
| co2 | double | CO2 emission factor of the network's heat production.CO2 emission factor of the network's heat production. |
| co2_acvCo2 acv | double | Life-cycle CO2 emission factor of the network's heat production.Life-cycle CO2 emission factor of the network's heat production. |
| nom_reseauNom reseau | text | Name of the district heating network.Name of the district heating network. |
| res_classeRes classe | text | Indicates whether the network is officially classified.Indicates whether the network is officially classified. |
Schema captured from opendatasoft 7 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
=
Sample data (5 records)
Record 1co2: — · co2_acv: —
{
"co2": null,
"co2_acv": null,
"geo_shape": "[large value omitted]",
"id_reseau": null,
"gestionnai": "Dalkia",
"nom_reseau": "Réseau de Ris-Orangis",
"res_classe": "false",
"taux_enr_r": null,
"geo_point_2d": {
"lat": 48.65806741927143,
"lon": 2.4164590515567066
}
}Record 2co2: 0.098 · co2_acv: 0.12
{
"co2": 0.098,
"co2_acv": 0.12,
"geo_shape": "[large value omitted]",
"id_reseau": "9103C",
"gestionnai": "Grand Paris Sud Energie Positive (Dalkia)",
"nom_reseau": "Réseau d'Evry",
"res_classe": "true",
"taux_enr_r": 54.6,
"geo_point_2d": {
"lat": 48.627974501662834,
"lon": 2.431265582866302
}
}Record 3co2: 0.066 · co2_acv: 0.089
{
"co2": 0.066,
"co2_acv": 0.089,
"geo_shape": "[large value omitted]",
"id_reseau": "9122C",
"gestionnai": "Grand Paris Sud (ENGIE)",
"nom_reseau": "Réseau du quartier du Grand Parc de Bondoufle",
"res_classe": "true",
"taux_enr_r": 73.4,
"geo_point_2d": {
"lat": 48.615327779029386,
"lon": 2.365357314801875
}
}Record 4co2: 0.052 · co2_acv: 0.069
{
"co2": 0.052,
"co2_acv": 0.069,
"geo_shape": "[large value omitted]",
"id_reseau": "9118C",
"gestionnai": "SEER (CORIANCE & ROUGNON)",
"nom_reseau": "Réseau SEER Grigny-Viry",
"res_classe": "true",
"taux_enr_r": 76,
"geo_point_2d": {
"lat": 48.65269897825533,
"lon": 2.391464216344621
}
}Record 5co2: 0.022 · co2_acv: 0.04
{
"co2": 0.022,
"co2_acv": 0.04,
"geo_shape": "[large value omitted]",
"id_reseau": "9115C",
"gestionnai": "ENERGIE NOUVELLE DE RIS (Coriance)",
"nom_reseau": "Réseau de Ris-Orangis",
"res_classe": "false",
"taux_enr_r": 89.9,
"geo_point_2d": {
"lat": 48.64663846255233,
"lon": 2.403908812298806
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/traces-ilots-de-chaleur-urbaine-par-france-chaleur-urbaine
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/traces-ilots-de-chaleur-urbaine-par-france-chaleur-urbaine/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
5 000 req/day
per ipmeasured
observed 7 days ago
Dataset
Volume & freshness
Records
6
Last upstream update
3 years ago
2023-12-08
License
No license declared upstream.
○ Documentation○ Data dictionary○ Versioning
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.