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1 to 10 of 49 Results
May 21, 2024
De Carvalho Ribeiro, Sofia Isabel, 2024, "Dataset for publication "Determining the absolute number density of a thermal vapor via photon correlations"", https://doi.org/10.17617/3.IZM9HA, Edmond, V1
Repository containing the datasets and LaTeX code to reproduce the figures 2 to 6 of the manuscript "Determining the absolute number density of a thermal vapor via photon correlations".
Apr 30, 2024
Kurjahn, Maximilian Stephan, 2024, "Self-organization of filamentous cyanobacteria", https://doi.org/10.17617/3.YE7U5M, Edmond, V1
Supplementary Videos PhD Thesis, Maximilian Kurjahn, "Self-organization of filamentous cyanobacteria", Georg-August-Universität Göttingen (2024)
Apr 9, 2024
Krieger, Jonas Andreas; Stolz, Samuel; Robredo, Iñigo; Manna, Kaustuv; McFarlane, Emily C.; Date, Mihir; Pal, Banabir; Yang, Jiabao; Guedes, Eduardo B.; Dil, J. Hugo; Polley, Craig M.; Leandersson, Mats; Shekhar, Chandra; Borrmann, Horst; Yang, Qun; Lin, Mao; Strocov, Vladimir N.; Caputo, Marcus; Watson, Matthew D.; Kim, Timur K.; Cacho, Cephise; Mazzola, Federico; Fujii, Jun; Vobornik, Ivana; Parkin, Stuart S. P.; Bradlyn, Barry; Felser, Claudia; Vergniory, Maia G.; Schröter, Niels B. M., 2024, "Weyl spin-momentum locking in a chiral topological semimetal", https://doi.org/10.17617/3.GIT9JN, Edmond, V1
Accompanying dataset for the paper 'Weyl spin-momentum locking in a chiral topological semimetal'. Nat Commun 15, 3720 (2024). https://doi.org/10.1038/s41467-024-47976-0
Mar 26, 2024
Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1
Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses...
Feb 20, 2024
Girard, Martin; Olvera de la Cruz, Monica; Marko, John; Erbas, Aykut, 2024, "Heterogeneous flexibility can contribute to chromatin segregation in the cell nucleus", https://doi.org/10.17617/3.P08YSZ, Edmond, V1
Dataset for ring polymers under confinement as a model for chromatin in the cell nucleus
Jan 15, 2024
Mamaikin, Mikhail; Ridente, Enrico; Krausz, Ferenc; Karpowicz, Nicholas, 2024, "Data for "Spatiotemporal electric-field characterization of synthesized light transients"", https://doi.org/10.17617/3.JQIWLU, Edmond, V1
The versatile manipulation of electron motion on the atomic scale calls for the shaping of the electric field evolution of light within a single cycle. The super-octave bandwidth required for this task dramatically increases the probability of formation of spatio-temporal distort...
Dec 17, 2023
Kullmann, Richard; Weikl, Thomas, 2023, "MD simulations and energy minimizations of cellulose crystals", https://doi.org/10.17617/3.1FPW2C, Edmond, V1
Microsecond-long simulations trajectories and results from energy minimizations for cellulose Ibeta and II crystals composed of 52 chains of cellulose 6-mers, 8-mers, 10-mers, or 12-mers.
Dec 1, 2023
Nicolas G. Hörmann, 2023, "Supporting Data and Code to illustrate Finite Size Scaling of Constant Charge Energetics", https://doi.org/10.17617/3.6W6BGK, Edmond, V1
Contains data and code to plot the finite size scaling of the energy difference of a desorbed and an adsorbed proton in constant charge density functional theory calculations. requires ase > 3.22.1 (tested with ase 3.22.1, pandas 2.1.3, python 3.9.18)
Oct 7, 2023
Anggara, Kelvin, 2023, "STM images and DFT structures of glycoconjugates", https://doi.org/10.17617/3.3F5JPU, Edmond, V2
Raw STM images of glycans and glycoconjugates were given in the SXM format outputted directly from the Nanonis control software, which can be opened using WSXM or Gwyddion. Computed structures were given in XYZ format, which can be opened by common molecular modeling software suc...
Sep 29, 2023
Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1
The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th...
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