Street furniture (NC)Mobilier_NC

Mobilier_NCStreet furniture (NC)

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This dataset, published on the Grand Paris Sud open-data portal, provides information on street furniture (mobilier urbain) within the territory of the Grand Paris Sud intercommunal authority in France. The original description is corrupted metadata with no substantive content, so details on exact attributes, coverage, or update frequency cannot be confirmed. The data is likely intended for use by local authorities, urban planners, and residents interested in the location and characteristics of public street furniture within the area.Normal 0 21 false false false FR X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tableau Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4p...

digital

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Trust score

How is this computed?

fair

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

Data schema (7 fields)

Filterable via the API (5)

id_mobiliedate_maj_mid_type_mocommunecode_commune

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic coordinates (latitude, longitude) of the item.Geographic coordinates (latitude, longitude) of the item.
geo_shapeShape	geo_shape	GeoJSON geometry describing the item's spatial shape.GeoJSON geometry describing the item's spatial shape.
id_mobilieId mobilie	text	Unique identifier of the street furniture item.Unique identifier of the street furniture item.
date_maj_mDate maj m	datetime	Date the record was last updated.Date the record was last updated.
id_type_moId type mo	int	Numeric code identifying the type of street furniture.Numeric code identifying the type of street furniture.
communeCommune	text	Name of the municipality where the item is located.Name of the municipality where the item is located.
code_communeCommune code	text	INSEE code identifying the municipality.INSEE code identifying the municipality.

Schema captured from opendatasoft 2 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.

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Sample data (5 records)

Record 1commune: Moissy-Cramayel · geo_shape: {"type":"Feature","geometry":{"type":"Po

{
  "commune": "Moissy-Cramayel",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        2.599596450241683,
        48.624009426644754
      ]
    },
    "properties": {}
  },
  "date_maj_m": "2015-03-22T00:00:00+00:00",
  "id_mobilie": "16413",
  "id_type_mo": 16,
  "code_commune": "77296",
  "geo_point_2d": {
    "lat": 48.6240094266,
    "lon": 2.59959645024
  }
}

Record 2commune: Lieusaint · geo_shape: {"type":"Feature","geometry":{"type":"Po

{
  "commune": "Lieusaint",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        2.544347239685379,
        48.62651900829087
      ]
    },
    "properties": {}
  },
  "date_maj_m": "2015-03-22T00:00:00+00:00",
  "id_mobilie": "17196",
  "id_type_mo": 16,
  "code_commune": "77251",
  "geo_point_2d": {
    "lat": 48.6265190083,
    "lon": 2.54434723969
  }
}

Record 3commune: Savigny-le-Temple · geo_shape: {"type":"Feature","geometry":{"type":"Po

{
  "commune": "Savigny-le-Temple",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        2.587087300374582,
        48.580145835823785
      ]
    },
    "properties": {}
  },
  "date_maj_m": "2015-03-22T00:00:00+00:00",
  "id_mobilie": "15379",
  "id_type_mo": 16,
  "code_commune": "77445",
  "geo_point_2d": {
    "lat": 48.5801458358,
    "lon": 2.58708730037
  }
}

Record 4commune: Moissy-Cramayel · geo_shape: {"type":"Feature","geometry":{"type":"Po

{
  "commune": "Moissy-Cramayel",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        2.580670700865056,
        48.623071505510886
      ]
    },
    "properties": {}
  },
  "date_maj_m": "2015-03-22T00:00:00+00:00",
  "id_mobilie": "16807",
  "id_type_mo": 16,
  "code_commune": "77296",
  "geo_point_2d": {
    "lat": 48.6230715055,
    "lon": 2.58067070087
  }
}

Record 5commune: Lieusaint · geo_shape: {"type":"Feature","geometry":{"type":"Po

{
  "commune": "Lieusaint",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Point",
      "coordinates": [
        2.551389358329486,
        48.62790268979472
      ]
    },
    "properties": {}
  },
  "date_maj_m": "2015-03-22T00:00:00+00:00",
  "id_mobilie": "17360",
  "id_type_mo": 16,
  "code_commune": "77251",
  "geo_point_2d": {
    "lat": 48.6279026898,
    "lon": 2.55138935833
  }
}

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/mobilier_nc

Query examples

curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/mobilier_nc/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

5 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

1.2k

1237

Last upstream update

7 years ago

2020-01-09

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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