000088264 001__ 88264
000088264 005__ 20200716101609.0
000088264 0247_ $$2doi$$a10.1038/s41597-019-0314-0
000088264 0248_ $$2sideral$$a116446
000088264 037__ $$aART-2019-116446
000088264 041__ $$aeng
000088264 100__ $$0(orcid)0000-0001-7483-046X$$aEstrada-Peña, Agustín$$uUniversidad de Zaragoza
000088264 245__ $$aSpecies occurrence of ticks in South America, and interactions with biotic and abiotic traits
000088264 260__ $$c2019
000088264 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088264 5203_ $$aThe datasets of records of the distribution of ticks and their hosts are invaluable tools to understand the phylogenetic patterns of evolution of ticks and the abiotic traits to which they are associated. Such datasets require an exhaustive collection of bibliographical references. In most cases, it is necessary the confirmation of reliable identification of ticks, together with an update of the scientific names of the vertebrate hosts. These data are not easily available, because many records were published in the so-called "grey literature". Herein, we introduced the Dataset of Ticks in South America, a repository that collates data on 4, 764 records of ticks (4, 124 geo-referenced) with a special reference to an extra 2, 370 records of ticks on cattle, together with a set of abiotic traits, curated from satellite-derived information over the complete target region. The dataset includes details of the phylogenetic relationships of the species of hosts, providing researchers with both biotic and abiotic traits that drive the distribution and evolution of ticks in South America.
000088264 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000088264 590__ $$a5.541$$b2019
000088264 591__ $$aMULTIDISCIPLINARY SCIENCES$$b11 / 71 = 0.155$$c2019$$dQ1$$eT1
000088264 592__ $$a3.099$$b2019
000088264 593__ $$aComputer Science Applications$$c2019$$dQ1
000088264 593__ $$aEducation$$c2019$$dQ1
000088264 593__ $$aStatistics, Probability and Uncertainty$$c2019$$dQ1
000088264 593__ $$aLibrary and Information Sciences$$c2019$$dQ1
000088264 593__ $$aStatistics and Probability$$c2019$$dQ1
000088264 593__ $$aInformation Systems$$c2019$$dQ1
000088264 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000088264 700__ $$aNava, Santiago
000088264 700__ $$aTarragona, Evelina
000088264 700__ $$aBermúdez, Sergio
000088264 700__ $$ade la Fuente, José
000088264 700__ $$aDomingos, Ana
000088264 700__ $$aLabruna, Marcelo
000088264 700__ $$aMosqueda, Juan
000088264 700__ $$aMerino, Octavio
000088264 700__ $$aSzabo, Matias
000088264 700__ $$aVenzal, José M.
000088264 700__ $$aGuglielmone, Alberto A.
000088264 7102_ $$11009$$2773$$aUniversidad de Zaragoza$$bDpto. Patología Animal$$cÁrea Sanidad Animal
000088264 773__ $$g6 (2019), 299 1-5$$pSci. data$$tScientific Data$$x2052-4463
000088264 8564_ $$s762512$$uhttps://zaguan.unizar.es/record/88264/files/texto_completo.pdf$$yVersión publicada
000088264 8564_ $$s164211$$uhttps://zaguan.unizar.es/record/88264/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000088264 909CO $$ooai:zaguan.unizar.es:88264$$particulos$$pdriver
000088264 951__ $$a2020-07-16-09:55:59
000088264 980__ $$aARTICLE