<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Balk MA</submitter><funding>NSF</funding><funding>National Science Foundation</funding><pagination>105101</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9535407</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(10)</volume><pubmed_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 </pubmed_abstract><journal>iScience</journal><pubmed_title>A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.</pubmed_title><pmcid>PMC9535407</pmcid><funding_grant_id>1759808</funding_grant_id><funding_grant_id>1759898</funding_grant_id><funding_grant_id>1759821</funding_grant_id><pubmed_authors>Walls RL</pubmed_authors><pubmed_authors>Guralnick RP</pubmed_authors><pubmed_authors>Davalos LM</pubmed_authors><pubmed_authors>Kohli B</pubmed_authors><pubmed_authors>King JN</pubmed_authors><pubmed_authors>Cruz JA</pubmed_authors><pubmed_authors>Balk MA</pubmed_authors><pubmed_authors>Hopkins S</pubmed_authors><pubmed_authors>LaFrance R</pubmed_authors><pubmed_authors>Sewnath N</pubmed_authors><pubmed_authors>Boileau A</pubmed_authors><pubmed_authors>Emery KF</pubmed_authors><pubmed_authors>Brenskelle L</pubmed_authors><pubmed_authors>Barrett P</pubmed_authors><pubmed_authors>Villasenor A</pubmed_authors><pubmed_authors>Morgan ME</pubmed_authors><pubmed_authors>Davis EB</pubmed_authors><pubmed_authors>McCrane SM</pubmed_authors><pubmed_authors>Reuter D</pubmed_authors><pubmed_authors>Blois J</pubmed_authors><pubmed_authors>McLean B</pubmed_authors><pubmed_authors>Hantak MM</pubmed_authors><pubmed_authors>Koo MS</pubmed_authors><pubmed_authors>Upham NS</pubmed_authors><pubmed_authors>Yohe L</pubmed_authors><pubmed_authors>Deck J</pubmed_authors><pubmed_authors>Pilaar Birch S</pubmed_authors><pubmed_authors>Reitz EJ</pubmed_authors><pubmed_authors>Machado H</pubmed_authors><pubmed_authors>Cannarozzi NR</pubmed_authors><pubmed_authors>Gyawali P</pubmed_authors><pubmed_authors>Reed D</pubmed_authors><pubmed_authors>de la Sancha NU</pubmed_authors><pubmed_authors>Lawing AM</pubmed_authors><pubmed_authors>Arroyo-Cabrales J</pubmed_authors></additional><is_claimable>false</is_claimable><name>A solution to the challenges of interdisciplinary aggregation and use of specimen-level trait data.</name><description>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 </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-27T20:37:31.703Z</modification><creation>2026-04-08T01:49:28.564Z</creation></dates><accession>S-EPMC9535407</accession><cross_references><pubmed>36212022</pubmed><doi>10.1016/j.isci.2022.105101</doi></cross_references></HashMap>