1 to 7 of 7 Results
Jun 3, 2025 - Centro de Biologia Molecular e Ambiental
Gomes-Gonçalves, Alexandra; Van Genechten, Wouter; Ataíde, Patricia; Barata-Antunes, Cláudia; Ghasemi, Faezeh; Casal, Margarida; Teixeira, Miguel C.; Ariño, Joaquín; Brown, Alistair J. P.; Van Dijck, Patrick; Paiva, Sandra, 2025, "Lactic acid influences iron assimilation by a fungal pathogen via the iron reductive uptake pathway", https://doi.org/10.34622/datarepositorium/VWHFGK, Repositório de Dados da Universidade do Minho, V1, UNF:6:Uc2maDQk9d3HlXPVfYcX4g== [fileUNF]
Comparison of mRNA levels by RNA-Seq between Candida albicans yeast cells grown in RPMI medium in the presence of lactate, and at different extracellular pHs (pH 5; pH 7.0) (replicas per different pH and timepoint: n=3 at 1 h; and n = 1 at 0.5, 2, and 4 h - 30 samples in total) |
Mar 25, 2025 - Consumer-grade devices
Gomes, Pedro, 2024, "Supplemental material for "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"", https://doi.org/10.34622/datarepositorium/B92TXJ, Repositório de Dados da Universidade do Minho, V2
Geo-referenced images of the data used to build the figures in the text of "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"; R code used to manipulate and analyze the data behind the figures. |
Jul 29, 2024 - Yeast Cell Trafficking and Signaling
Barata-Antunes, Cláudia; de Hulster, Erik; Cardoso, Clara; Pronk, Jack; Ariño, Joaquín; Mans, Robert; Paiva, Sandra, 2024, "Endocytosis of the plasma membrane carboxylate transporter Jen1 in Saccharomyces cerevisiae under alkali stress: a mechanism for preventing loss of essential metabolites?", https://doi.org/10.34622/datarepositorium/LWNKLQ, Repositório de Dados da Universidade do Minho, V1, UNF:6:KmEqVXGDcefdiZxzWguEZA== [fileUNF]
Comparison of mRNA levels by RNA-Seq between Saccharomyces cerevisiae yeast cells grown in steady state, aerobic, continuous cultures growing in synthetic medium with 50 mM ethanol and 30 mM lactate at a dilution rate of 0.07 h-1 and set up at different extracellular pHs (pH 6.0;... |
May 29, 2024 - Centro de Biologia Molecular e Ambiental
Neto, Regina; Gomes, Pedro; Carreira-Flores, Diego; Ramil, Francisco, 2024, "New data on the distribution and ecology of the mushroom sponge Artemisina transiens Topsent, 1890 (Porifera) in the Atlantic Iberian margin", https://doi.org/10.34622/datarepositorium/ZNNL1A, Repositório de Dados da Universidade do Minho, V1
Supplementary Information associated to the paper with the same name, submitted to Marine Biology |
May 22, 2024 - Centro de Biologia Molecular e Ambiental
Santos, Pedro M.; Mesquita, Cristina; Soares-Castro, Pedro; Eira, Catarina; Ferreira, Marisa; Sequeira, Marina, 2024, "First insights into the microbiota within the oral cavity of the pygmy sperm whale Kogia breviceps", https://doi.org/10.34622/datarepositorium/VEVBVI, Repositório de Dados da Universidade do Minho, V1, UNF:6:thM7y+mR2omFKuwla+rXMA== [fileUNF]
Supplementary data to support manuscript with the same title. |
Feb 20, 2024 - Centro de Biologia Molecular e Ambiental
Franco-Duarte, Ricardo; Fernandes, Ticiana; Sousa, Maria João; Sampaio, Paula; Rito, Teresa; Soares, Pedro, 2024, "Phylogenomics and functional annotation of 530 non-Saccharomyces yeasts from winemaking environments reveals their Fermentome and Flavorome", https://doi.org/10.34622/datarepositorium/WPHMJL, Repositório de Dados da Universidade do Minho, V2
Dataset to support manuscript with the same title. The submitted documents were obtained with the following procedures: For the genomes downloaded from SRA database (raw data; without assembled version available), assembly was performed using SPAdes Genome Assembler software v.3.... |
Mar 3, 2023 - Lab Física Computacional
Marques, Luis, 2023, "Machine Learning Texture Optimization", https://doi.org/10.34622/datarepositorium/MUVOJD, Repositório de Dados da Universidade do Minho, V1, UNF:6:PYIYvLMs2mywboc9nuNvdw== [fileUNF]
This data set contains the data used for training, validation and test the deep neural network used for solving a texture optimization problem for the lubricated contacts between surfaces. |