Scalable and provenance-enable scientific workflows for predicting distribution of species (2012)
Source: Proceedings. Conference titles: International Conference on Ecological Informatics. Unidade: EP
Assunto: INFORMATICA ECOLOGICA
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GADELHA JÚNIOR, Luiz M. R et al. Scalable and provenance-enable scientific workflows for predicting distribution of species. 2012, Anais.. Brasília: Unb, 2012. Disponível em: https://repositorio.usp.br/directbitstream/93779f85-ad5c-4c19-9668-ecc203eace96/3194550.pdf. Acesso em: 17 nov. 2024.APA
Gadelha Júnior, L. M. R., Stanzani, S. L., Corrêa, P. L. P., Dalcin, E. C., Gomes, C. R. O., Sato, L. M., & Siqueira, M. F. de. (2012). Scalable and provenance-enable scientific workflows for predicting distribution of species. In Proceedings. Brasília: Unb. Recuperado de https://repositorio.usp.br/directbitstream/93779f85-ad5c-4c19-9668-ecc203eace96/3194550.pdfNLM
Gadelha Júnior LMR, Stanzani SL, Corrêa PLP, Dalcin EC, Gomes CRO, Sato LM, Siqueira MF de. Scalable and provenance-enable scientific workflows for predicting distribution of species [Internet]. Proceedings. 2012 ;[citado 2024 nov. 17 ] Available from: https://repositorio.usp.br/directbitstream/93779f85-ad5c-4c19-9668-ecc203eace96/3194550.pdfVancouver
Gadelha Júnior LMR, Stanzani SL, Corrêa PLP, Dalcin EC, Gomes CRO, Sato LM, Siqueira MF de. Scalable and provenance-enable scientific workflows for predicting distribution of species [Internet]. Proceedings. 2012 ;[citado 2024 nov. 17 ] Available from: https://repositorio.usp.br/directbitstream/93779f85-ad5c-4c19-9668-ecc203eace96/3194550.pdf