# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "BrazilDataAPI" in publications use:'
type: software
license: GPL-3.0-only
title: 'BrazilDataAPI: Access Brazilian Data via APIs and Curated Datasets'
version: 0.3.0
identifiers:
- type: doi
value: 10.32614/CRAN.package.BrazilDataAPI
abstract: 'Provides functions to access data from the ''BrasilAPI'', ''Nager.Date
API'', and ''World Bank API'', related to Brazil''s postal codes, banks, holidays,
company registrations, and economic development data. Additionally, the package
includes curated datasets related to Brazil, covering topics such as demographic
data (males and females by state and year), river levels, environmental emission
factors, film festivals, and yellow fever outbreak records. The package supports
research and analysis focused on Brazil by integrating open APIs with high-quality
datasets from multiple domains. For more information on the APIs, see: ''BrasilAPI''
, ''Nager.Date'' , ''World
Bank API'' .'
authors:
- family-names: Caceres Rossi
given-names: Renzo
email: arenzocaceresrossi@gmail.com
orcid: https://orcid.org/0009-0005-0744-854X
preferred-citation:
type: manual
title: 'BrazilDataAPI: Access Brazilian Data via APIs and Curated Datasets'
authors:
- family-names: Caceres Rossi
given-names: Renzo
orcid: https://orcid.org/0009-0005-0744-854X
email: arenzocaceresrossi@gmail.com
year: '2026'
notes: R package version 0.3.0
url: https://github.com/lightbluetitan/brazildataapi
repository: https://cran.r-universe.dev
repository-code: https://github.com/lightbluetitan/brazildataapi
commit: c0f00bb5088fe15ac43e0b9deb704c6b84aecece
url: https://lightbluetitan.github.io/brazildataapi/
date-released: '2026-07-02'
contact:
- family-names: Caceres Rossi
given-names: Renzo
email: arenzocaceresrossi@gmail.com
orcid: https://orcid.org/0009-0005-0744-854X