ArticleData in brief2025
Money plant leaf (Epipremnum aureum): A comprehensive study of raw datasets with manual classification.
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 5 papers.
What it found
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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
5 citing papers in PubMed.
- A curated image dataset for sapodilla fruit (Manilkara zapota) disease and fruit quality analysis.Data in brief · 2026Article
- Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition.Scientific reports · 2026Article
- Development of a spontaneous disease diagnosis tool by executing an enhanced convolutional neural network model for citrus fruits and leaves.Scientific reports · 2026Article
- A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties.BMC plant biology · 2026Article
- A hybrid CNN-transformer model with adaptive activation function for potato leaf disease classification.Scientific reports · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Money plants are widely recognized for their significant spiritual and air-purifying benefits. Research has proven that daily interaction with these vibrant indoor plants effectively reduces anxiety and stress. This paper introduces a robust dataset of
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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.