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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-maximum-pmprecip1970-2096.nc

URL: https://archive.data.gov.my/data/dataset/6b8f6d0c-b27b-4832-846e-2b975e54a5f6/resource/4dca6adb-8bca-4e5f-bd56-6ba92bc8e741/download/annual-maximum-pmprecip1970-2096.nc

Hydroclimate projection data simulated in 2013 using PRECIS model.

.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	20 Januari 2022
Tarikh Dicipta	20 Januari 2022
Format Fail	nc
Lesen	Creative Commons Attribution

CKAN Data API

annual-maximum-pmprecip1970-2096.nc

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Data Dictionary

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