Title: Increasing pollen production at high latitudes across animal-pollinated flowering plants Authors: Nicolay Leme da Cunha*1, Gabriela Gleiser1, Agustín Sáez1, Vanina Ruth Chalcoff1, Cristina Tur1, Marcelo Adrián Aizen1,2 Affiliation: 1Grupo de Ecología de la Polinización, INIBIOMA, CONICET-Universidad Nacional del Comahue, San Carlos de Bariloche, Rio Negro, Argentina 2Wissenschaftskolleg zu Berlin, 14193 Berlin, Germany Author for correspondence: nicolaycunha@gmail.com Data compilation: 1971-2020 Geographic location: Worldwide Keywords: animal pollination, latitudinal trait variation, macroecological patterns, ovule number, pollen production, pollen receipt, pollen transfer efficiency Language: English Funding: NLC was supported by a Postdoctoral Fellowship from the National Research Council of Argentina (CONICET Beca posdoctoral/10520170300865CO). Partial funding was provided by FONCyT program (PICT 2007-01300) and CONICET program (PIP 112-200801-01623). Data and file overview: The data is presented in an excel file with two sheets. Being sheet 1 the data used for the modeling with pollen production with latitude only, and the sheet 2 the data used for modeling pollen production with latitude and hacking the traits as covariables. The data is a data frame composed by samples in the rows and variables that we used in the inferential models in the columns. The variables names stand for: log10(pollen_produced): log-transformed pollen produced per flower abs(latitude): absolute of latitude log10(flower_size): log-transformed flower size growth_form: modes of growth form of each species flower_symmetry: flower symmetry pollinator.bin: number of pollinator orders knowing to visit each species species: species names according to APG IV author_location: author of the study where we obtained the information and geographic location continent: continent sub-region according to the United Nations geographical geoscheme (United Nations Statistics Division, 2021) country: country where the sample was collected