ArticleScientific data2026
A long-term photographic dataset for individual identification of the Balearic wall lizard.
Article in Scientific data, 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
6 authors.
Funding
Abstract
We present BalearicLizard , a curated, long-term collection of high-resolution photographs of the Balearic wall lizard (Podarcis lilfordi) designed to support non-invasive individual re-identification, ecological monitoring and computer-vision benchmarking. The dataset comprises 4,619 images from 1,009 individuals acquired during 15 years of systematic capture-recapture monitoring (from October 2010 to September 2024) on Illot d'en Curt, a small islet off the southern coast of Mallorca in the Balearic Islands, Spain. For each capture, we provide the original field photograph, a derived crop focusing on the ventral scale pattern, and standardised metadata including capture date, individual identifier and file location. Individual lizards were manually identified and curated by expert observers based on distinctive ventral scale arrangements, with historical mislabellings corrected using automated re-identification models. BalearicLizard offers a high-quality benchmark for developing and evaluating individual re-identification methods in small-bodied reptiles and a reusable resource for demographic and conservation studies of endemic island lizard populations. Data are released under CC BY 4.0 via Kaggle ( https://www.kaggle.com/datasets/roberalcaraz/baleariclizard ).
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.