ArticleBiodiversity data journal2026
Rosario: An algorithm to analyse cyclical data in Ecology.
Article in Biodiversity data journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Temporal niche overlap can be effectively studied using null models, which are statistical tools that randomise ecological data to reveal underlying patterns. The Rosario R package enables robust analysis of cyclical phenomena in ecology through the implementation of the Rosario algorithm. The Rosario package preserves temporal autocorrelation (the tendency for events close in time to be similar) and generates biologically realistic time-use scenarios. To ensure continued usability and standardisation, we are transitioning the Rosario algorithm from Windows-based software to the R programming environment. This transition enhances accessibility and compatibility with R packages, such as activity and overlap. Unlike these packages, rosario supports concurrent overlap analysis amongst multiple biological identities (e.g. individuals, species, populations, communities) at the same time, offering a more comprehensive approach to studying cyclical data. Now, users can access rosario in R and work with a full suite of packages in one language, facilitating complementary insights into natural temporal patterns.
Indexed as
Identifiers
What OpenQuestion holds
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.