biostudies-literatureUnknown12(1)Grilo CRoadkill is widely recognized as one of the primary negative effects of roads on many wildlife species and also has socioeconomic impacts when they result in accidents. A comprehensive dataset of roadkill locations is essential to evaluate the factors contributing to roadkill risk and to enhance our comprehension of its impact on wildlife populations and socioeconomic dimensions. We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources. GLOBAL ROADKILL DATA includes 208,570 roadkill records of terrestrial vertebrates from 54 countries across six continents, encompassing data collected between 1971 and 2024. This dataset serves to minimise the collection of redundant data and acts as a valuable resouScientific data505https://www.ebi.ac.uk/biostudies/studies/S-EPMC11958749biostudies-literatureGlobal Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles.PMC11958749Bil MAlves PLazaridou DOrdonez EJMKhandakar NCastelazo-Calva VHeiermann DMdaki MLMelenciuc RSuksavate WMoura ASda Cunha ASCicha VHerrmann MCedeno SALesbarreres DBartonicka TSachet JVGalvez DHuck SLyamuya RDde Oliveira JEZoel LLoehr VJTTrakimas GColombo PBoyle SPWatari YBernardo LRStrugariu ASahlean TCBogoni JACupsa DEngleder TSantos XBlamires DCervinka JMiyamoto AFontes MALHidalgo-Mihart MGDesbiez Ada Silva ALFRodrigues RBde Oliveira GSSwanepoel LHCicek KFailla MCrane MLuna Ruiz RDCQuiles PSacramento EMagioli MSosa RFoltete JCSarasola JHStonecipher GHazrati MBetlhoff JLitzgus JDBeduschi JRedinger Jda Silva AGCMartin AHCacciali PSpanowicz AGda Costa JRNLermen ISKolenda KLudgate RFilius JRys MCampos JMachado RAPlodowski GKFyumagwa RDHeber SGarcia NWale Mde Almeida MFPDuengkae PJirku Mda Costa Dias TGarcia-Carrasco JMKarthik PSavini TZakaria SSCabral Filho RGFalaschi MLiu YManhas AArnold ETeixeira FZDos Santos AChruszcz Bde Sa GAMBorzee ASillero NRoskaft EData Collection ConsortiumKellermann AGZenere JLCarvalho Costa GRascon NGonzalez-Gallina ARosa CLahkar BChatfield MWHOld JLapadula SMattia DLOrtega ZKoc-Gur HSarıkurt SCampillo LMGGomides SCda Silva Zanzini ACRomportl DWilliams STHannibal WSamson AD'Amico MMontori ADel Castillo HMedrano-Vizcaino PSoanes KPacheco-Figueroa CJJanik TRai ASidooski RBogdanovic NOliveira DRVogiatzakis ILara LLRSharma BKManenti RLitskas VCanal DMohammadi ASanjar ADesai SLehn CRYadav PBSMartins LBMeza-Joya FLBakaloudis Dda Cunha HFBenitez-Badillo GBehera SPereira ADde Assis AAGallego-Garcia DKassie AColino-Rabanal VJSaenz JCHuijser MPCeron KBukombe JKCervantes-Huerta RFerenti SOttburg FGWAZank CMwakalebe GGSeijas AEBaek SYde Campos AGordillo-Chavez EJSchmidt GLeontiou SMcLennan MRVianna VRSanthoshkumar PPatterson-Abrolat CBastianelli MLCamacho CChala DOzkan HUtsa PRocha VJSeburn DKummoo WVidotto-Magnoni APZotos SSantiago-Plata MStanciu CRMenger TFischer PSPrincy JLKeken ZBaxter-Gilbert JMayadunnage SVelo-Anton GGreen-Barber JRibeiro PJesudass BBBates JMayer MBelkacem MBarrientos RPither RRead KZeferino GDas JCarlson BEHariohay KMle Roux ACosta ACGLErnst MTeles LTLopes EVZaharia RPrakash LSantos LGROCosta-Silva ALDuran-Antonio JGonzalez-Calderon ASalas JABoves TDesrochers ANelli LLord IHaileselasie THGarriga-Rovira NPop DRMasenga EHLeal CROMarneweck DGde Araujo DRFerraz KMPMBFerrer MTamanaha SWoo DArianejad MCaravaggi AKarunarathna SKarthick SKaczmarski MSilva IBalbino-Silva ACFBBueno CNasir ASilva DDula MAraguillin EHusby MBezerra AMRMattisson JSedonik JAbate SDMorelli FNeves TJuilliard RZayas EEMPease BSSayers SKelly EMiranda JESBasile MSalek MLee SMda Silva EAGirardet XPereira DMeneguz PGCanova LSlomp DVBarbraud CGherghel IPereira MPlante JKindel ALeClair Gde Souza WFD' Abra FMartinez-Freiria FGuinard ESoofi MLangbein JDias RICunha MEBThompson BQuintana MFCollinson WArca-Rubio Jde Carvalho Junior MVCrivellari LBSaito ENPeters WCovaciu-Marcov SDFantacini FMBulbul UTesfahunegny WCabrera-Garcia MELazarus Mde Melo FRZanon-Martinez JIRibeiro YGGStannard HLi QKusta TKotsonas EGavril VDNeudert JCartes JLMoreno-Baez MTizzani PBelanger-Smith KRassati Gvan der Grift EAOzcan AUBontzorlos Vda Rocha LMNavarro Svan Hooft PCarvalho FLeal JDVGunson KGrilo CRiley JLSantacruz MCharney NFaiz AHMesfin MGonzalez MMMacPherson JKubecek JLlorente GANajafi-Majd ESwarts HKnitter DNieuwenhuis MMoreno-Rueda GVadodariya VJaeger JAGSekiama MLBajpai HMulualem GChuc PCArmas CMundy CSurasinghe TDShrestha BRTeferi MOliveira SRGeller IVKaruppusamy SCicort-Lucaciu ASAzhar BVasava AMelo FCSAAnchundia OPParmelee JDelgado JDJakubas DUmetsu RKde Souza MCarmona GFreire MDBarth PCBenedetti YFerreira MPerello MPaansri PRevilla EPalma MDLValerio FTejera GZocche JJRamos ECherem JJNkwabi AKBansal UPereira KFRolheiser MJHamici FOrozco-Valor PMAraujo-Quintero ABovo AAASforza LRoman JClevenger APSchalk CMVelazquez NQuaranta MWang YJunior WBde Alencar PROrsi MLKang Wvan der Hoek YMenezes JFSPereira JCAment RMyslajek RWYahya MSRojas-Soto OJarrin-V Pde Lima Leite LCBatista GYabu MHSQashqaei ATPereira JRSternberg MTeampanpong JMachado FSBalestrieri AAscensao FYogui DRCrandall KAHeurich MMoriano RRodriguez AAlves MHGohlke SFRodriguez BBalestrieri RRocha DBBarg ANowak SJoshi RJoshi NWinter MAnđelkovic MAndrasik RCove MVfalseGlobal Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles.Roadkill is widely recognized as one of the primary negative effects of roads on many wildlife species and also has socioeconomic impacts when they result in accidents. A comprehensive dataset of roadkill locations is essential to evaluate the factors contributing to roadkill risk and to enhance our comprehension of its impact on wildlife populations and socioeconomic dimensions. We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources. GLOBAL ROADKILL DATA includes 208,570 roadkill records of terrestrial vertebrates from 54 countries across six continents, encompassing data collected between 1971 and 2024. This dataset serves to minimise the collection of redundant data and acts as a valuable resou2025-01-01T00:00:00Z2025 Mar2026-05-29T17:03:29.512Z2025-06-26T03:05:57.945ZS-EPMC119587494016462510.1038/s41597-024-04207-x