12,331 to 12,340 of 132,152 Results
Jan 23, 2025 -
Supporting data for: Accelerated Sarcopenia Phenotype in the DJ-1/Park7-Knockout Zebrafish
Plain Text - 28.4 MB -
MD5: 8b3545766f8cb0972f50b6d6be517278
This is the txt file version |
Jan 23, 2025 -
Supporting data for: Accelerated Sarcopenia Phenotype in the DJ-1/Park7-Knockout Zebrafish
MS Excel Spreadsheet - 18.5 MB -
MD5: 25a9c9ab6d74a0b1c6a792ba246cc046
Excel file |
Jan 22, 2025 - University of Oslo
Whattam, Jack, 2025, "Supplementary Data for "Geochemistry and petrogenesis of silicic ignimbrites in the Oslo Rift, Norway".", https://doi.org/10.18710/VGDZYX, DataverseNO, V1
Supplementary datasets and figures for the Alnsjo area north of Oslo. Location data for samples used in geochemical analyses are provided in supplementary information 1. Complete bulk rock geochemical analyses, SEM analyses (images and spectra) of mineral phases, and additional g... |
Jan 22, 2025 -
Supplementary Data for "Geochemistry and petrogenesis of silicic ignimbrites in the Oslo Rift, Norway".
Plain Text - 6.4 KB -
MD5: 988d3acf059d3630e45eac39dab519b9
File information |
Jan 22, 2025 -
Supplementary Data for "Geochemistry and petrogenesis of silicic ignimbrites in the Oslo Rift, Norway".
ZIP Archive - 4.6 MB -
MD5: ab4c7919f13661bf7fbcfbf19121d50b
SEM petrographic analyses, complete geochemical data, and additional geochemical diagrams. |
Jan 22, 2025 -
Supplementary Data for "Geochemistry and petrogenesis of silicic ignimbrites in the Oslo Rift, Norway".
ZIP Archive - 11.5 MB -
MD5: a2d85addad19a50a8a5f31701cff312f
Thermodynamic modelling input compositions, partition coefficients, and complete modelling outputs. |
Jan 22, 2025 -
Supplementary Data for "Geochemistry and petrogenesis of silicic ignimbrites in the Oslo Rift, Norway".
MS Excel Spreadsheet - 8.1 KB -
MD5: e81cf679f4c15a18fc40a3742c9b89cb
Geochemical sample details. |
Jan 21, 2025 - NTNU – Norwegian University of Science and Technology
Pettersen, Henrik Sahlin; Wiik, Erik Nesje, 2025, "The Colorectal_Cancer_IHC_CISH_HE_Epithelium_Segmentation dataset", https://doi.org/10.18710/DIGQGQ, DataverseNO, V1
This comprehensive dataset provides high-resolution histopathological images and annotations for AI training in colorectal cancer analysis. The collection includes Tissue Microarray (TMA) cores from 100 patients, featuring both normal colorectal mucosa and cancer tissue. The data... |
Plain Text - 6.3 KB -
MD5: 87c9c2bd6af58de49ee436e7bf2d112a
Description. |
ZIP Archive - 15.2 GB -
MD5: c05e00ddb394f2d82cff3039c9fd667d
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