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Access resource data via a web API with powerful query support. Further information in the main CKAN Data API and DataStore documentation.

Endpoints »

The Data API can be accessed via the following actions of the CKAN action API.

Create	`https://www.data.gov.my/data/api/3/action/datastore_create`
Update / Insert	`https://www.data.gov.my/data/api/3/action/datastore_upsert`
Query	`https://www.data.gov.my/data/api/3/action/datastore_search`
Query (via SQL)	`https://www.data.gov.my/data/api/3/action/datastore_search_sql`

Querying »

Query example (first 5 results)

https://www.data.gov.my/data/api/3/action/datastore_search?limit=5&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7

Query example (results containing 'jones')

https://www.data.gov.my/data/api/3/action/datastore_search?q=jones&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7

Query example (via SQL statement)

https://www.data.gov.my/data/api/3/action/datastore_search_sql?sql=SELECT * from "2903e39a-dde6-4053-818e-ebdb8066d8b7" WHERE title LIKE 'jones'

Example: Javascript »

A simple ajax (JSONP) request to the data API using jQuery.

        var data = {
          resource_id: '2903e39a-dde6-4053-818e-ebdb8066d8b7', // the resource id
          limit: 5, // get 5 results
          q: 'jones' // query for 'jones'
        };
        $.ajax({
          url: 'https://www.data.gov.my/data/api/3/action/datastore_search',
          data: data,
          dataType: 'jsonp',
          success: function(data) {
            alert('Total results found: ' + data.result.total)
          }
        });

Example: Python »

      import urllib
      url = 
'https://www.data.gov.my/data/api/3/action/datastore_search?limit=5&resource_id=2903e39a-dde6-4053-818e-ebdb8066d8b7&q=title:jones'
      fileobj = urllib.urlopen(url)
      print fileobj.read()

annual standard deviation pm temperature 1970

URL: https://archive.data.gov.my/data/dataset/93f3f2e3-8753-4efd-8768-464efa75b955/resource/1bd7f01c-7b20-4e34-8d1a-696cb4a2221b/download/annual-standard-deviation-pm-temperature-1970.csv

Annual Standard Deviation Temperature for Peninsular Malaysia 1970-2096 PRECIS Model

Hydroclimate projection data simulated in 2013 using PRECIS model (United Kingdom Meteorological Office).

.nc (NetCDF-Network Common Data Form) can be opened using NetCDF library and Climate Data Operator (CDO) via command prompt (CMD).

netCDF Library and CDO can be downloaded online.

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Data Dictionary

Column	Jenis	Label	Keterangan

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Ruangan	Nilai
Tarikh Data Dikemaskini	20 Januari 2022
Tarikh Metadata Dikemaskini	15 Mac 2023
Tarikh Dicipta	20 Januari 2022
Format Fail	CSV
Lesen	Creative Commons Attribution

CKAN Data API

annual standard deviation pm temperature 1970

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Data Dictionary

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