Register record·API·FR·MUNICIPALITYVERIFIED · checked 9h ago
B
Railway Noise Ln, Type C MapBruit ferroviaire Ln de type C
Bruit ferroviaire Ln de type CRailway Noise Ln, Type C Map
This dataset from Métropole Aix-Marseille-Provence provides railway noise data expressed through the Ln indicator, presented as a type C isophonic (equal-noise-level) map. It covers the Aix-Marseille Provence metropolitan area and is published via the local open-data portal maintained by the metropolitan authority. The Ln indicator specifically reflects night-time noise exposure levels near rail infrastructure, allowing assessment of railway noise pollution across the territory for planning, environmental monitoring, and public information purposes.Bruit ferroviaire selon l'indicateur Ln carte de type C sur la Métropole Aix-Marseille Provence
Trust score
How is this computed?54
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (14 fields)
Filterable via the API (12)
idcodeinseecodectcodecommdatemajanneecodedeptidcourbetypesourceindicetypeisophonevalidedeb
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | id | double | — |
| — | codeinsee | text | — |
| — | codect | text | — |
| — | codecomm | text | — |
| — | datemaj | text | — |
| — | annee | text | — |
| — | codedept | text | — |
| — | idcourbe | double | — |
| 100% | typesource | text | — |
| 100% | indicetype | text | — |
| 100% | isophone | double | — |
| 100% | validedeb | text | — |
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 1id: 2 · annee: 2022
{
"id": 2,
"annee": "2022",
"codect": "CT6",
"datemaj": "31/05/2022",
"codecomm": "132056",
"codedept": "13",
"idcourbe": 2,
"isophone": 65,
"codeinsee": "13056",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.082443934145252,
43.34049949067396
],
[
5.082421059288169,
43.34048598683876
],
[
5.082404200335239,
43.34048488989478
],
[
5.082387841490959,
43.34049662835165
],
[
5.082400542112707,
43.34050611130489
],
[
5.082431269709575,
43.34050784590535
],
[
5.082443934145252,
43.34049949067396
]
]
]
},
"properties": {}
},
"validedeb": "31/05/2022",
"indicetype": "Ln",
"typesource": "C",
"geo_point_2d": {
"lat": 43.340497118079625,
"lon": 5.082415162617061
}
}Record 2id: 9 · annee: 2022
{
"id": 9,
"annee": "2022",
"codect": "CT1",
"datemaj": "31/05/2022",
"codecomm": "132088",
"codedept": "13",
"idcourbe": 9,
"isophone": 65,
"codeinsee": "13088",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.246152819734437,
43.33472187891215
],
[
5.246149035442664,
43.33471926886172
],
[
5.246136073058903,
43.33472039527081
],
[
5.246135206903484,
43.334724354717956
],
[
5.246136180590513,
43.33473984617264
],
[
5.246139456815675,
43.33474415806359
],
[
5.246143294510603,
43.33474597034556
],
[
5.246150589742218,
43.33474397830864
],
[
5.246150865453288,
43.33474198342052
],
[
5.246158131069747,
43.33472671875195
],
[
5.246152819734437,
43.33472187891215
]
]
]
},
"properties": {}
},
"validedeb": "31/05/2022",
"indicetype": "Ln",
"typesource": "C",
"geo_point_2d": {
"lat": 43.3347315868732,
"lon": 5.246145221667511
}
}Record 3id: 12 · annee: 2022
{
"id": 12,
"annee": "2022",
"codect": "CT1",
"datemaj": "31/05/2022",
"codecomm": "132088",
"codedept": "13",
"idcourbe": 12,
"isophone": 65,
"codeinsee": "13088",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.26486944364154,
43.34353380730764
],
[
5.264866901538433,
43.34351327726755
],
[
5.264865672512888,
43.34351180723614
],
[
5.264828859554623,
43.34348604669897
],
[
5.264817508458728,
43.343479703867274
],
[
5.264774651849063,
43.343462672698934
],
[
5.264760550972195,
43.34345672476253
],
[
5.264717814510951,
43.3434400737837
],
[
5.264703398963497,
43.343434400443265
],
[
5.264660844111536,
43.34341748442397
],
[
5.264646233313893,
43.34341163698592
],
[
5.264603640005969,
43.34339504312695
],
[
5.264589121879428,
43.34338932939174
],
[
5.264546594736933,
43.34337242335573
],
[
5.264504001984292,
43.343355744958174
],
[
5.264489393726028,
43.34334999572972
],
[
5.264446739582493,
43.34333329343619
],
[
5.264432269361744,
43.34332737654086
],
[
5.264390505288934,
43.34331034654262
],
[
5.264375057332469,
43.343305644572084
],
[
5.264370083448465,
43.34331732634118
],
[
5.264353162317417,
43.34332953170553
],
[
5.264343095661443,
43.343340866430445
],
[
5.264358290406336,
43.34334734765966
],
[
5.264400582329998,
43.343363155253144
],
[
5.264415301541051,
43.34336880032557
],
[
5.264457847275573,
43.34338554465539
],
[
5.264500392289172,
43.34340228867524
],
[
5.26451500056179,
43.343408037902435
],
[
5.264557546362561,
43.34342478219682
],
[
5.264572154646584,
43.3434305314164
],
[
5.264614604339016,
43.343447322246575
],
[
5.26462930579407,
43.34345305932872
],
[
5.264671819486227,
43.343469790916
],
[
5.264686465688299,
43.343475555034296
],
[
5.264729045392306,
43.34349222838289
],
[
5.264743480537704,
43.34349746450153
],
[
5.264786521743192,
43.34351431592385
],
[
5.264832984828769,
43.34353035819057
],
[
5.264845352308956,
43.3435335245025
],
[
5.26486944364154,
43.34353380730764
]
]
]
},
"properties": {}
},
"validedeb": "31/05/2022",
"indicetype": "Ln",
"typesource": "C",
"geo_point_2d": {
"lat": 43.343420478310925,
"lon": 5.2646067369947716
}
}Record 4id: 16 · annee: 2022
{
"id": 16,
"annee": "2022",
"codect": "CT1",
"datemaj": "31/05/2022",
"codecomm": "132088",
"codedept": "13",
"idcourbe": 16,
"isophone": 65,
"codeinsee": "13088",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.270562678487806,
43.34561381000382
],
[
5.270555736634178,
43.34561117988959
],
[
5.270503722437711,
43.3455954179327
],
[
5.270501812508923,
43.345594573156404
],
[
5.270449909632531,
43.345572696568674
],
[
5.270398053101416,
43.34555196718452
],
[
5.270395648717686,
43.34555032208612
],
[
5.270350397696794,
43.345533048314756
],
[
5.27038715962871,
43.34555356055321
],
[
5.270396683414337,
43.34555781926396
],
[
5.270438585373054,
43.34557630215683
],
[
5.270449907877962,
43.34557892537522
],
[
5.27049909188793,
43.34559702273945
],
[
5.270503297022547,
43.34559835204564
],
[
5.270547808047252,
43.34561894617659
],
[
5.270561242647871,
43.34562682584901
],
[
5.270604881167405,
43.34563690454725
],
[
5.270562678487806,
43.34561381000382
]
]
]
},
"properties": {}
},
"validedeb": "31/05/2022",
"indicetype": "Ln",
"typesource": "C",
"geo_point_2d": {
"lat": 43.3455910652219,
"lon": 5.2704888724630035
}
}Record 5id: 23 · annee: 2022
{
"id": 23,
"annee": "2022",
"codect": "CT6",
"datemaj": "31/05/2022",
"codecomm": "132056",
"codedept": "13",
"idcourbe": 23,
"isophone": 65,
"codeinsee": "13056",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.02505470486069,
43.40062055380799
],
[
5.025053850896144,
43.40061692916612
],
[
5.025051129842026,
43.400619089468776
],
[
5.025029081548365,
43.40061659309593
],
[
5.025007649857931,
43.400636695523666
],
[
5.025006072414,
43.40064988640522
],
[
5.025020944173313,
43.4006716630114
],
[
5.025034889596005,
43.40067548101438
],
[
5.025043881629916,
43.400684396640884
],
[
5.025055028080391,
43.400669340100194
],
[
5.025057025798942,
43.40066257319664
],
[
5.02505481451505,
43.40062162619658
],
[
5.02505470486069,
43.40062055380799
]
]
]
},
"properties": {}
},
"validedeb": "31/05/2022",
"indicetype": "Ln",
"typesource": "C",
"geo_point_2d": {
"lat": 43.40064744144184,
"lon": 5.0250345457205725
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-n_bruit_isophone_ferroviaire_c_ln
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-n_bruit_isophone_ferroviaire_c_ln/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 6 days ago
Dataset
Volume & freshness
Records
74
Last upstream update
1 year ago
2025-04-24
License
No license declared upstream.
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