ArticleiScience2022
A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A pragmatist approach to bridging tables and ontologies through LinkML and punning.Journal of biomedical semantics · 2026Article
- Growth form and lifespan of herbaceous species mediate the role of traits in short-term drought response.Nature ecology & evolution · 2026Article
- Extending mammal specimens with their essential phenotypic traits.Journal of mammalogy · 2025Article
- Integrative species delimitation reveals an Idaho-endemic ground squirrel,Journal of mammalogy · 2025Article
- Integrating animal tracking and trait data to facilitate global ecological discoveries.The Journal of experimental biology · 2025Article
- Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications.Frontiers in cellular neuroscience · 2025Review
- Three steps towards comparability and standardization among molecular methods for characterizing insect communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- The Ontology of Biological Attributes (OBA) - Computational Traits for the Life Sciences.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
35 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding variation of traits within and among species through time and across space is central to many questions in biology. Many resources assemble species-level trait data, but the data and metadata underlying those trait measurements are often not reported. Here, we introduce FuTRES (Functional Trait Resource for Environmental Studies; pronounced few-tress), an online datastore and community resource for individual-level trait reporting that utilizes a semantic framework. FuTRES already stores millions of trait measurements for paleobiological, zooarchaeological, and modern specimens, with a current focus on mammals. We compare dynamically derived extant mammal species' body size measurements in FuTRES with summary values from other compilations, highlighting potential issues with simply reporting a single mean estimate. We then show that individual-level data improve estimates of body mass-including uncertainty-for zooarchaeological specimens. FuTRES facilitates trait data integration and discoverability, accelerating new research agendas, especially scaling from intra- to interspecific trait variability.
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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.