Register record·API·FRUNVERIFIED
R
Réseau Chaleur - GPS
Trust score
How is this computed?0
poor
Weighted across five axes. Tap a ring for what it measures.
Data schema (15 fields)
Filterable via the API (13)
gidtablec_dep_c_3inseeid_sncunom_reseaucommunetypecont_co2long_resenerg_rescoge_restaux_enrr
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gid | int | — |
| — | table | double | — |
| — | c_dep_c_3C dep c 3 | text | — |
| — | insee | text | — |
| — | id_sncuId sncu | text | — |
| — | nom_reseauNom reseau | text | — |
| — | communeCommune | text | — |
| — | type | text | — |
| 87.5% | cont_co2Cont co2 | double | — |
| 87.5% | long_resLong res | double | — |
| 87.5% | energ_resEnerg res | double | — |
| 50% | coge_resCoge res | text | — |
| 87.5% | taux_enrrTaux enrr | double | — |
Schema captured from opendatasoft 2 hours 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 1gid: 510 · type: P
{
"gid": 510,
"type": "P",
"insee": "33039",
"table": 2015,
"commune": "BEGLES",
"id_sncu": null,
"coge_res": null,
"cont_co2": 0,
"long_res": 0,
"c_dep_c_3": "33",
"energ_res": 0,
"geo_shape": null,
"taux_enrr": 0,
"nom_reseau": "Réseau de chaleur bois des Terres Neuves",
"geo_point_2d": null
}Record 2gid: 347 · type: C
{
"gid": 347,
"type": "C",
"insee": "91228",
"table": 2014,
"commune": "Evry",
"id_sncu": "9103C",
"coge_res": "Oui",
"cont_co2": 0.22,
"long_res": 38,
"c_dep_c_3": "91",
"energ_res": 251296,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPoint",
"coordinates": [
[
2.441855723809766,
48.62984368106094
]
]
},
"properties": {}
},
"taux_enrr": 0,
"nom_reseau": "Réseau d'Evry",
"geo_point_2d": {
"lat": 48.62984368106094,
"lon": 2.441855723809766
}
}Record 3gid: 348 · type: C
{
"gid": 348,
"type": "C",
"insee": "91286",
"table": 2014,
"commune": "Grigny",
"id_sncu": "9118C",
"coge_res": "Non",
"cont_co2": 0.24,
"long_res": 4,
"c_dep_c_3": "91",
"energ_res": 54434,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPoint",
"coordinates": [
[
2.38639972160565,
48.6583285677524
]
]
},
"properties": {}
},
"taux_enrr": 0,
"nom_reseau": "Réseau de Grigny COFELY",
"geo_point_2d": {
"lat": 48.6583285677524,
"lon": 2.38639972160565
}
}Record 4gid: 524 · type: P
{
"gid": 524,
"type": "P",
"insee": "35238",
"table": 2015,
"commune": "RENNES",
"id_sncu": null,
"coge_res": null,
"cont_co2": 0,
"long_res": 0,
"c_dep_c_3": "35",
"energ_res": 0,
"geo_shape": null,
"taux_enrr": 0,
"nom_reseau": "Réseau de chaleur Baud - Chardonnet",
"geo_point_2d": null
}Record 5gid: — · type: —
{
"gid": null,
"type": null,
"insee": null,
"table": null,
"commune": null,
"id_sncu": null,
"coge_res": null,
"cont_co2": null,
"long_res": null,
"c_dep_c_3": null,
"energ_res": null,
"geo_shape": "[large value omitted]",
"taux_enrr": null,
"nom_reseau": null,
"geo_point_2d": {
"lat": 48.612608037630615,
"lon": 2.5179994890177166
}
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/reseau-chaleur-france-entiere
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/reseau-chaleur-france-entiere/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 2 hours ago
Dataset
Volume & freshness
Records
8
Last upstream update
4 years ago
2022-10-13
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.