4,001 to 4,010 of 11,138 Results
Sep 23, 2021 -
3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose
ZIP Archive - 9.6 GB -
MD5: 11593cd5a9a74a6cba4ec76935469e44
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Sep 23, 2021 -
3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose
ZIP Archive - 9.6 GB -
MD5: 28367958c85910f7189de7ec3681b793
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Sep 23, 2021 -
3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose
ZIP Archive - 7.0 GB -
MD5: 0cfe1df698ca448065d607a7bde0ecbb
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Sep 23, 2021 -
3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose
ZIP Archive - 1.9 GB -
MD5: 87815fe86257f2f6b8d302d2775bc25e
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Jan 14, 2019
Waage, Malin, 2019, "Replication Data for: Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin.", https://doi.org/10.18710/YWQZYV, DataverseNO, V1
The data includes two high-resolution P-Cable 3D seismic datasets processed in 2016 from Storfjordrenna, Barents Sea, used in the article published by G-Cubed "Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin." by "Waage et al. The pro... |
Jan 14, 2019 -
Replication Data for: Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin.
Plain Text - 2.4 KB -
MD5: cb2814aafe37bc085bd14db67a4c54f6
README |
Jan 14, 2019 -
Replication Data for: Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin.
Unknown - 1.3 GB -
MD5: 06cfd1477860bc0b73e503bac306cbaf
High-resolution P-Cable 3D seismic corridor |
Jan 14, 2019 -
Replication Data for: Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin.
Unknown - 4.9 GB -
MD5: 7543cd9ffb3ba2fadcbf76578f1f805e
High-resolution P-Cable 3D seismic cube |
Feb 15, 2024
Goll, Charlotte Bjørnskov; Sørlie, Tore; Friborg, Oddgeir; Ottosen, Karl Ottar; Sæle, Rannveig Grøm, 2019, "Replication Data for: Poorer self-reported mental health and general health among first year upper secondary school students do not predict school dropout: a five-year prospective study", https://doi.org/10.18710/Q3GFGG, DataverseNO, V2
The data are from a longitudinal study, investigating predictors for dropout in upper secondary education. They were collected in autumn 2010 on first year students. School status and GPA was retrieved from county school registers. This particular data set contains data used in t... |
Plain Text - 4.4 KB -
MD5: b8eed9475cc0451c65b83504ebed14fb
This file describes the variables in the data file for "Internalised mental health problems and general health in first year upper secondary school students do not predict school dropout when controlling for grades: A five-year prospective study" |