tag:joss.theoj.org,2005:/papers/by/M%20MorganJournal of Open Source Software2024-01-23T12:00:48ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44452024-01-23T12:00:48Z2024-01-24T00:01:21ZFoundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Scienceacceptedv0.5.12023-04-21 18:46:52 UTC932024-01-23 12:00:48 UTC920245467KjSchmidtGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-9373-0058AristanaScourtasGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-3917-605XLoganWardData Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-1323-5939SteveWangenData Science Institute, University of Wisconsin-Madison, Madison, WI, United States of AmericaMarcusSchwartingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0001-6817-7265IsaacDarlingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaEthanTrueloveDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaAaditAmbadkarGlobus, University of Chicago, Chicago, IL, United States of AmericaRibhavBoseGlobus, University of Chicago, Chicago, IL, United States of AmericaZoaKatokGlobus, University of Chicago, Chicago, IL, United States of AmericaJingruiWeiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaXiangguoLiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaRyanJacobsDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0003-2229-6730LaneSchultzDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaDoyeonKimDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaMichaelFerrisDepartment of Computer Science, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-7652-6776PaulM.VoylesDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0001-9438-4284DaneMorganDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-4911-0046IanFosterGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America, Department of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0003-2129-5269BenBlaiszikGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-5326-490210.21105/joss.05467https://doi.org/10.5281/zenodo.10494644Pythonhttps://joss.theoj.org/papers/10.21105/joss.05467.pdfMachine Learning, Artificial Intelligence, Materials Science, Datatag:joss.theoj.org,2005:Paper/23802022-04-20T21:23:02Z2022-05-11T19:53:09Zportalcasting: Supporting automated forecasting of rodent populationsacceptedv0.20.02021-02-09 20:51:10 UTC722022-04-20 21:23:02 UTC720223220JuniperL.SimonisUniversity of Florida, DAPPER Stats0000-0001-9798-0460GlendaM.YenniUniversity of Florida0000-0001-6969-1848EllenK.BledsoeUniversity of Florida, University of Regina, Saskatchewan0000-0002-3629-7235EricaM.ChristensenJornada Experimental Range0000-0002-5635-2502HenrySenyondoUniversity of Florida0000-0001-7105-5808ShawnD.TaylorJornada Experimental Range0000-0002-6178-6903HaoYeUniversity of Florida0000-0002-8630-1458EthanP.WhiteUniversity of Florida0000-0001-6728-7745S.K. MorganErnestUniversity of Florida0000-0002-6026-853010.21105/joss.03220https://doi.org/10.5281/zenodo.3332973Rhttps://joss.theoj.org/papers/10.21105/joss.03220.pdfPortal Project, forecastingtag:joss.theoj.org,2005:Paper/7312019-01-24T23:01:38Z2021-02-15T11:32:47Zportalr: an R package for summarizing and using the Portal Project Dataacceptedv0.1.42018-11-20 16:34:16 UTC332019-01-24 23:01:38 UTC420191098EricaM.ChristensenUniversity of Florida, Jornada Experimental Range, New Mexico State University0000-0002-5635-2502GlendaM.YenniUniversity of Florida0000-0001-6969-1848HaoYeUniversity of Florida0000-0002-8630-1458JuniperL.SimonisUniversity of Florida0000-0001-9798-0460EllenK.BledsoeUniversity of Florida0000-0002-3629-7235RenataDiazUniversity of Florida0000-0003-0803-4734ShawnD.TaylorUniversity of Florida0000-0002-6178-6903EthanP.WhiteUniversity of Florida0000-0001-6728-7745S.K. MorganErnestUniversity of Florida0000-0002-6026-853010.21105/joss.01098https://doi.org/10.5281/zenodo.2546883Rhttps://joss.theoj.org/papers/10.21105/joss.01098.pdfPortal Projecttag:joss.theoj.org,2005:Paper/8152019-01-16T12:12:01Z2021-02-15T11:32:39Zstats19: A package for working with open road crash dataaccepted0.1.12019-01-15 14:40:47 UTC332019-01-16 12:12:01 UTC420191181RLovelaceInstitute for Transport Studies (ITS) and Leeds Institute for Data Analytics (LIDA), University of Leeds0000-0001-5679-6536MMorganInstitute for Transport Studies (ITS) and Leeds Institute for Data Analytics (LIDA), University of LeedsLHamaInstitute for Transport Studies (ITS) and Leeds Institute for Data Analytics (LIDA), University of Leeds0000-0003-1912-4890MPadghamATFutures GmbH.0000-0003-2172-526510.21105/joss.01181https://doi.org/10.5281/zenodo.2540781Rhttps://joss.theoj.org/papers/10.21105/joss.01181.pdfstats19, crashes, dft, road safety