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C

Noise Mapping for Rennes Métropole - Type C threshold exceedancesCartographie du bruit sur Rennes Métropole - type c dépassements de seuil

Cartographie du bruit sur Rennes Métropole - type c dépassements de seuilNoise Mapping for Rennes Métropole - Type C threshold exceedances

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset from Rennes Métropole provides noise level contour layers (isophones) showing threshold exceedances from various noise sources—road, rail, and industrial—measured over a 24-hour period (Lden) and at night (Ln). The rail network contours were updated in 2023 to account for the commissioning of the new high-speed rail line (LGV) and related infrastructure changes. The data supports noise pollution assessment and urban planning within the Rennes Métropole area.Couche d'isophones indiquant les dépassements de seuil de différentes sources de bruit (routier, ferré et industriel) sur 24h (Lden) et la nuit (Ln). Les courbes d'isophones pour le réseau ferré ont été mises à jour en 2023 pour tenir compte de la mise en production de la nouvelle LGV et de la li...

54
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (9 fields)

Filterable via the API (7)
gml_idobjectidfromtoperiodtypeannee

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d
geo_shapeShapegeo_shape
gml_idFilterable via the APIGml idtext
objectidFilterable via the APIint
fromFilterable via the APIdouble
toFilterable via the APIdouble
periodFilterable via the APItext
typeFilterable via the APItext
anneeFilterable via the APIint

Schema captured from opendatasoft 6 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 1to: 120 · from: 71
{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7187",
  "period": "Lden",
  "objectid": 7187,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.627957164674687,
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          ],
          [
            -1.627984454376052,
            48.13389949721245
          ],
          [
            -1.628020959157987,
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          ],
          [
            -1.628021139876213,
            48.13392279978114
          ],
          [
            -1.627988605618027,
            48.133945733512796
          ],
          [
            -1.627973919144347,
            48.13394407177465
          ],
          [
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            48.133929557366436
          ],
          [
            -1.627957164674687,
            48.133925373564686
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.1339207281096,
    "lon": -1.627991200939758
  }
}
Record 2to: 120 · from: 71
{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7190",
  "period": "Lden",
  "objectid": 7190,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.628789952755702,
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          ],
          [
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          ],
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          [
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          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.13169643705658,
    "lon": -1.6286682816027582
  }
}
Record 3to: 120 · from: 71
{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7203",
  "period": "Lden",
  "objectid": 7203,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.628566112634406,
            48.13250426827121
          ],
          [
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          ],
          [
            -1.628477871352205,
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          ],
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          ],
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          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.132513714729136,
    "lon": -1.6285216845487203
  }
}
Record 4to: 120 · from: 71
{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7204",
  "period": "Lden",
  "objectid": 7204,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.628463650984354,
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          ],
          [
            -1.628471521542681,
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          [
            -1.628460339008355,
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          [
            -1.628457348062138,
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          ],
          [
            -1.62845663422966,
            48.133950330248105
          ],
          [
            -1.628440459367289,
            48.133917102110274
          ],
          [
            -1.628427388962975,
            48.13390645515651
          ],
          [
            -1.628454881384046,
            48.13389183346963
          ],
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            -1.628469704903847,
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          ],
          [
            -1.628463650984354,
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          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.13391697981491,
    "lon": -1.628455397042027
  }
}
Record 5to: 120 · from: 71
{
  "to": 120,
  "from": 71,
  "type": "Industriel",
  "annee": 2021,
  "gml_id": "bruit_seuil_2021.7205",
  "period": "Lden",
  "objectid": 7205,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -1.628611897315336,
            48.13407995929076
          ],
          [
            -1.628606876231166,
            48.13408250401267
          ],
          [
            -1.628595201908986,
            48.13407991022185
          ],
          [
            -1.628585159065384,
            48.13404751661372
          ],
          [
            -1.628586476833682,
            48.13403520950887
          ],
          [
            -1.628601238859559,
            48.13402272187294
          ],
          [
            -1.628633817593552,
            48.13401077880386
          ],
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          ],
          [
            -1.628612905783185,
            48.13407919788536
          ],
          [
            -1.628611897315336,
            48.13407995929076
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.13404743587415,
    "lon": -1.6286054255290339
  }
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-c-depassements-de-seuil0

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/cartographie-du-bruit-2021-sur-rennes-metropole-type-c-depassements-de-seuil0/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.

Full API documentation ↗

Rate limits

7 000 req/day
per ipmeasured
observed 6 days ago

Dataset

Volume & freshness

Records
1.4k
1444
Last upstream update
7 days ago
2026-09-01

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Cartographie du bruit sur Rennes Métropole - type c dépassements de seuil — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.