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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()

Kertas Penyelidikan Agensi Remote Sensing...

URL: https://archive.data.gov.my/data/dataset/6ffb7897-453f-4aa6-84a2-9446eb02bee7/resource/50944a3d-9737-485b-8628-8dc010f71193/download/kertas-penyelidikan-agensi-remote-sensing-malaysia-yang-diterbitkan.xlsx

Dataset ini menerangkan senarai kertas penyelidikan berteraskan teknologi remote sensing yang diterbitkan untuk jurnal/prosiding luar negara dari 2015 hingga 2017 oleh pegawai ARSM

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Column	Type	Label	Description

Additional Information

Field	Value
Data last updated	October 23, 2018
Metadata last updated	March 14, 2021
Created	October 23, 2018
File Format	XLSX
License	Creative Commons Attribution

Openness:
Reason: Content of file appeared to be format "XLS" which receives openness score: 2.
Checked: August 22, 2020

CKAN Data API

Kertas Penyelidikan Agensi Remote Sensing...

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Data Dictionary

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