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MS Excel Spreadsheet - 211.3 KB - MD5: 386a4f0276a11ce0a84815b9e702f03b
Tab-Delimited - 3.1 KB - MD5: 70a75e40d75edb713770113ffdd20b8d
Tab-Delimited - 1.2 MB - MD5: 579755ced9937efa08bd1f4b60e82f3d
Unknown - 9.3 MB - MD5: 2b06f1683478c42335541381bd6994b3
Unknown - 1.5 MB - MD5: e339455ee221f22e3540b8a1a4d302e8
Jan 8, 2025
Braga, Cátia S. N.; Martins, Gilberto; Duarte, M. Salomé; Alves, M. Madalena; Pereira, Luciana; Salvador, Andreia F., 2024, "Review of kinetic parameters for methane production with different types of inocula and conductive materials", https://doi.org/10.34622/datarepositorium/HD5WO7, Repositório de Dados da Universidade do Minho, V2, UNF:6:QvR1Bq4DIsrsuq4XXlr9wg== [fileUNF]
The present Dataset is a compilation of literature data on kinetic parameters for methane production by different types of inocula (namely complex microbial communities, enrichment cultures, syntrophic cocultures and pure cultures of methanogens) in the presence of conductive mat...
Tab-Delimited - 54.6 KB - MD5: 88d15f75a3bdd40e9d3d89c703e381ed
Compilation table, version nº2
LIGNOZYMES - ‘Metagenomics approach to unravel the potential of lignocellulosic residues towards the discovery of novel enzymes’ logo
Oct 24, 2024Bioprocess Engineering and Computacional BioSystems Research Group
Research data collection of LIGNOZYMES project One of the main goals of the LIGNOZYMES project was to implement a sequence-based metagenomic approach to identify carbohydrate-degrading enzymes in thermophilic compost samples containing lignocellulosic residues collected from Port...
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