Author

Z. Botta-Dukat

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:metagenomics· 2 Organism:plant (other)· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

A. Lengyel· 3 shared A. Csecserits· 2 shared B. Lhotsky· 2 shared T. Redei· 2 shared A. A. Habenczyus· 1 shared A. E-Vojtko· 1 shared A. Gyalus· 1 shared A. Kelemen· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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3 shared papersEcology

A. Lengyel

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Quantitative evaluation of internal clustering validation indices using binary datesets

N. Pakgohar, A. Lengyel, Z. Botta-Dukat

The paper evaluates internal clustering validation indices using simulated binary datasets to guide their reliable selection.

bioRxiv · Aug 9, 2023 · PreprintEcology

PADAPT 1.0 - the Pannonian Database of Plant Traits

J. Sonkoly, E. Toth, N. Balogh, L. Balogh, D. Bartha, K. Bata, Z. Batori, N. Bekefi, Z. Botta-Dukat, J. Bölöni, A. Csecserits, J. Csiky, P. Csontos, I. Dancza, D. Balazs, , Tamas

PADAPT 1.0 is a regional plant trait database covering 2745 taxa from Hungary, providing 126,337 records on 53 attributes across six categories, with plans to expand to other Pannonian species.

bioRxiv · Dec 5, 2022 · PreprintEcology

Quartile coefficient of variation is more robust than CV for traits calculated as a ratio

The paper compares variation measures for ratio traits and finds the quartile coefficient of variation is more robust to outliers than the coefficient of variation or geometric coefficient of variation.

bioRxiv · Oct 13, 2022 · PreprintEcology

Using trait data improves correlation between environment and community data only if abundances are considered

A. Lengyel, B. Sandor, B. Berki, A. Csecserits, A. Gyalus, B. Lhotsky, G. Onodi, T. Redei, Z. Botta-Dukat

This study shows that trait-based community dissimilarity correlates better with environmental variables when abundance data is included, but not when using presence/absence data.

bioRxiv · Sep 27, 2021 · PreprintEcology