Eaux usées - Réseau de collecte - Angers Loire Métropole
Description du réseau de collecte des eaux usées. ECOUNORM écoulement normal - DIAMETRE diamètre du collecteur - MATERIAU Matériau du collecteur - LONGUEUR Longueur - ZAMONT Altitude amont - ZAVAL Altitude aval - DATEPOSE Date de pose du collecteur - EXPLOIT Exploitant du collecteur
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (12 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gid | int | — |
| — | materiau | text | — |
| — | datepose | text | — |
| — | ecounorm | text | — |
| — | zamont | text | — |
| — | zaval | text | — |
| — | exploit | text | — |
| — | longueur | text | — |
| 100% | diametre | text | — |
| 100% | numero | int | — |
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: 44968 · zaval: 35.57
{
"gid": 44968,
"zaval": "35.57",
"numero": 733886,
"zamont": "41.97",
"exploit": "ANGERS LOIRE METROPOLE",
"datepose": "19950801000000",
"diametre": "160",
"ecounorm": "GRAVITAIRE",
"longueur": "46.04",
"materiau": "PVC",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
-0.6634066977,
47.5775013519
],
[
-0.6637709103,
47.577834147
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.57766774945,
"lon": -0.663588804
}
}Record 2gid: 46379 · zaval: 19.76
{
"gid": 46379,
"zaval": "19.76",
"numero": 750296,
"zamont": "20.07",
"exploit": "NON PRIS GESTION",
"datepose": "20160601000000",
"diametre": "200",
"ecounorm": "GRAVITAIRE",
"longueur": "59.98",
"materiau": "PVC",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
-0.5214147576,
47.5263819111
],
[
-0.5221907008,
47.5262601265
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.526321018800004,
"lon": -0.5218027292
}
}Record 3gid: 46502 · zaval: 36.69
{
"gid": 46502,
"zaval": "36.69",
"numero": 750800,
"zamont": "36.97",
"exploit": "ANGERS LOIRE METROPOLE",
"datepose": "20160601000000",
"diametre": "200",
"ecounorm": "GRAVITAIRE",
"longueur": "59.36",
"materiau": "PVC",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
-0.5247587496,
47.4919063752
],
[
-0.5239712836,
47.4918930363
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.49189970575,
"lon": -0.5243650166
}
}Record 4gid: 50760 · zaval: 0
{
"gid": 50760,
"zaval": "0",
"numero": 828137,
"zamont": "0",
"exploit": "ANGERS LOIRE METROPOLE",
"datepose": "19500101000000",
"diametre": "150",
"ecounorm": "GRAVITAIRE",
"longueur": "29.89",
"materiau": "AC",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
-0.3513330143,
47.4714546488
],
[
-0.3514801789,
47.4712050423
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.47132984555,
"lon": -0.3514065966
}
}Record 5gid: 50762 · zaval: 0
{
"gid": 50762,
"zaval": "0",
"numero": 828139,
"zamont": "0",
"exploit": "ANGERS LOIRE METROPOLE",
"datepose": "19500101000000",
"diametre": "200",
"ecounorm": "GRAVITAIRE",
"longueur": "41.14",
"materiau": "PVC",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
-0.3550684278,
47.4709881172
],
[
-0.3555875634,
47.4708740872
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 47.4709311022,
"lon": -0.35532799559999995
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.angers.fr/api/explore/v2.1/catalog/datasets/reseau-de-collecte-des-eaux-usees
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.angers.fr/api/explore/v2.1/catalog/datasets/reseau-de-collecte-des-eaux-usees/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
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.