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Data from: Integrating fuzzy logic and statistics to improve reliabile definition of biogeographic regions and transition zones
负责人:
关键词:
biogeographical regionalization;biodiversity;biological geography;Fuzzy Sets;Amphibia;fuzzy boundaries;species composition;Amphibians
DOI:
doi:10.5061/dryad.1cq8n52h
摘要:
classification procedures based on fuzzy sets, the novelty of our method is that both fuzzy logic and statistics are used together in a synergy in order to avoid
Data from: Characterizing vocal repertoires - hard vs. soft classification approaches
负责人:
关键词:
Fuzzy Sets Acoustic analysis chacma baboon gradedness Unsupervised Clustering Vocal Repertoire
DOI:
doi:10.5061/dryad.8bn8p
摘要:
s (Papio ursinus). We extracted 118 acoustic variables from spectrograms, from which we constructed different sets of acoustic features, containing 9, 38, and 118
Data from: Bayesian adaptive Markov Chain Monte Carlo estimation of genetic parameters
负责人:
关键词:
Hordeum vulgare L.
DOI:
doi:10.5061/dryad.0p88f
摘要:
ng simulated data sets with replicates and field data in barley.
Data from: Challenges with using names to link digital biodiversity information
负责人:
关键词:
Names-based cyberinfrastructure;Global Names;Biodiversity informatics;GenBank;Dryad;Catalogue of Life
DOI:
doi:10.5061/dryad.3160r
摘要:
ke comparisons among data sets). The data sources include scientific names at multiple ranks; vernacular (common) names; acronyms; strain identifiers and other
Data from: Why less complexity produces better forecasts: an independent data evaluation of kelp habitat models
负责人:
关键词:
coastal ecosystem;Macrocystis pyrifera;forecast skill;Nereocystis luetkeana;Holocene;habitat suitability
DOI:
doi:10.5061/dryad.s22s280
摘要:
, the insights from evaluating multiple models with multiple data sets contribute to the holistic assessment of model forecast skill. The continued development

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