Automatically Retrieve Multidimensional Distributed Data Sets R package startR version 3.0.0 Automatically fetch, transform and arrange subsets of multidimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. This tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved. Software Depends: R (>= 3.6.0) Imports: abind, bigmemory, future, multiApply (>= 2.1.0), parallel, easyNCDF, s2dv, ClimProjDiags (>= 0.3.4), stringr, methods Suggests: stats, utils, testthat, yaml Victoria Agudetse <victoria.agudetse@bsc.es> Comprehensive R Archive Network (CRAN) Nicolau Manubens [aut], An-Chi Ho [aut] (ORCID: <https://orcid.org/0000-0002-4182-5258>), Nuria Perez-Zanon [aut] (ORCID: <https://orcid.org/0000-0001-8568-3071>), Victoria Agudetse [cre, ctb], Eva Rifa [ctb], Bruno de Paula Kinoshita [ctb], Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb], BSC-CNS [aut, cph] GPL-3 2025-10-08 application/tgz https://CRAN.R-project.org/package=startR doi:10.32614/CRAN.package.startR