Scientific and technical journal articles

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files

Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/world-development-indicators/ip.jrn.artc.sc/

├ README.md

https://datahub.io/world-development-indicators/ip.jrn.artc.sc/_r/-/README.md

├ data.csv

https://datahub.io/world-development-indicators/ip.jrn.artc.sc/_r/-/data.csv

└ datapackage.json

https://datahub.io/world-development-indicators/ip.jrn.artc.sc/_r/-/datapackage.json

Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema

https://datahub.io/world-development-indicators/ip.jrn.artc.sc/_r/-/datapackage.json

README.md— documentation

https://datahub.io/world-development-indicators/ip.jrn.artc.sc/_r/-/README.md

Typical Usage

1. Fetch datapackage.json to inspect schema and resources
2. Download data resources listed in datapackage.json
3. Read README.md for full context

Data Previews

Indicator data

Loading data...

Schema

name	type	description
Country Name	string	Country or Region name
Country Code	string	ISO 3-digit ISO code extended to include regional codes e.g. EUR, ARB etc
Year	year	Year
Value	number	Article counts refer to publications from a selection of conference proceedings and peer-reviewed journals from Scopus in science and engineering fields, according to the National Center for Science and Engineering Statistics Taxonomy of Disciplines.

Data Files

File	Description	Size	Last modified	Download
data		209 kB	2 months ago	data

Files	Size	Format	Created	Updated	License	Source
1	209 kB	csv		4 months ago

Article counts refer to publications from a selection of conference proceedings and peer-reviewed journals from Scopus in science and engineering fields, according to the National Center for Science and Engineering Statistics Taxonomy of Disciplines.