ArticleData in brief2025
Climaterna: A decade of daily data on births, deaths, pollution and climate variables for all municipalities in Brazil.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Analysis of mode of delivery according to race and ethnicity in Brazil: Application of the Robson Classification.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article describes a comprehensive dataset integrating public data from validated sources, including the Mortality Information System (SIM) and the Live Births Information System (SINASC) of DATASUS, the Brazilian Daily Weather Gridded Data (BR-DWGD), and pollution data from the CMIP6 models platform. Additionally, for the state of São Paulo, we incorporated air pollution data from monitoring stations managed by CETESB (Environmental Company of the State of São Paulo). The dataset comprises anonymized microdata on all births and deaths across Brazilian municipalities, with daily granularity from 2010 to 2022. It also includes annual climate (2010 to March 2024) and pollution data (2010 to 2023) for the same geographic scope. This integrated dataset enables diverse analyses exploring the relationships between health and environmental variables, particularly focusing on maternal and neonatal health outcomes in Brazil. By combining data from officially validated sources, this dataset not only supports robust research in demography, population studies, epidemiology, public health, and environmental sciences but also contributes to the democratization of access to information. Data were collected from public databases and processed using RStudio and Python. Climate data (BR-DWG) were produced through statistical corrections and interpolation of measurements from meteorological stations and rain gauges across Brazil.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.