Evidence map›Paper›PMID 40841720›Full record

ArticleScientific data2025

The Apemen Faces Database (ApeFD).

Zdzisław Lewandowski, Slawomir Wacewicz, Juan Olvido Perea-García, Vojtěch Fiala, Marta Sibierska, Anna Szala, Dariusz P Danel

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. The Apemen Faces Database (ApeFD).Scientific data · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zdzisław LewandowskiDepartment of Human Biology and Cosmetology, Wroclaw University of Health and Sport Sciences, Wrocław, Poland.ORCID 0000-0001-7792-113X
Slawomir WacewiczCenter for Language Evolution Studies, Nicolaus Copernicus University in Toruń, Toruń, Poland. wacewicz@umk.pl.ORCID 0000-0003-1488-6220
Juan Olvido Perea-GarcíaCenter for Language Evolution Studies, Nicolaus Copernicus University in Toruń, Toruń, Poland.
Vojtěch FialaCenter for Language Evolution Studies, Nicolaus Copernicus University in Toruń, Toruń, Poland.
Marta SibierskaCenter for Language Evolution Studies, Nicolaus Copernicus University in Toruń, Toruń, Poland.
Anna SzalaCenter for Language Evolution Studies, Nicolaus Copernicus University in Toruń, Toruń, Poland.
Dariusz P DanelDepartment of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland.

Funding

Narodowe Centrum Nauki (National Science Centre) 2023/49/B/HS6/02343
6 · The paper itself

Abstract

The Apemen Faces Database is a novel and versatile stimulus set designed for research in behavioral biology, evolutionary psychology, and related fields. The dataset comprises 620 photorealistic, artificially generated facial images of 31 generalized hominin models, available in multiple ocular coloration variants (31 hominins x 20 color variants). Each of the 31 facial portraits is paired with geometric morphometric data and norming information that includes perceptual ratings of six constructs (Threat, Sociability, Trustworthiness, Health, Age, and Masculinity). Further, editable .psd files enable easy generation of a wide spectrum of great ape eye phenotypes. The images were designed to be morphologically diverse, sufficiently humanlike to elicit social attributions, yet clearly non-human. This unique "humanlike but not human" design facilitates the study of face perception beyond the boundaries of extant human variation, offering novel opportunities for investigating cognitive and perceptual mechanisms in both humans and non-human primates.

Indexed as

Databases, FactualFaceHominidaeAnimalsFacial RecognitionHumansMale

Identifiers

PMID40841720
PMCPMC12371075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.