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Dataset results
8 results for “ultrafast laser”
Ultrafast laser-induced magneto-optical changes in resonant magnetic x-ray reflectivity
<p>Datasets for the publication "Ultrafast laser-induced magneto-optical changes in resonant magnetic x-ray reflectivity", published in Physical Review B <strong>108</strong>, 054439 (2023).</p><p> </p>
Experimental and Simulation Results of "Ultrafast Response of Harmonic Modelocked THz Laser"
<p>This repository contains the experimental and simulation results of the article "Ultrafast Response of Harmonic Modelocked THz Laser" by Wang, F., Pistore, V., Riesch, M. <em>et al.</em>, published in <em>Light Sci Appl</em> <strong>9, </strong>51 (2020). https://doi.org/10.1038/s41377-020-0288-x</p> <p> </p>
Data accompanying "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications"
<p>This dataset contains measurement data for the results presented in "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications".</p>
Ultrafast-Laser-induced precessional dynamics in antiferromagnetically coupled ferromagnetic thin films
<p>Open data of "Ultrafast-Laser-induced precessional dynamics in antiferromagnetically coupled ferromagnetic thin films" published in Physical Review B, xx, yy (2020)</p>
Influence of pump laser fluence on ultrafast myoglobin structural changes
<p>DESCRIPTION OF TAR ARCHIVE CONTENTS</p><p>the folder SCRIPTS contains two subfolders: ANALYZE and REFINE</p><p>ANALYZE contains python3 scripts for analysis.<br>There are three files:<br>-analyze_pdb.py which contains functions, and<br>-make_figures.py which calls these functions.</p><p>In make_figures.py one needs to change the directories at the<br>beginning of the script so the script can find the files it needs.<br>Moreover, one needs to have numpy, scipy, and matplotlib installed.</p><p>As the functions in analyze_pdb cannot handle altlocs, there is a third file: extract_Bloc.py which takes the B altloc atoms out of a pdb file and makes a new file containing only these. In this way, the photolyzed structures, which are stored als altloc B by the refinement script (see below), can be analyzed.</p><p> </p><p>REFINE contains the files needed for multi-copy refinement.</p><p>There are several files:</p><p>-multicopy_refine performs the multicopy refinement (duh...); it needs to be edited to conform to your file names/directory structure. Instructions are at the top of the file. The script requires python2.7 and phenix. This version will use the automatically determined occupancy for final refinement. The file needs to be adapted when another, preset occupancy is required.</p><p>-refine_par.in contains parameters for phenix.refine that are called by multicopy_refine, and needs to be in the same directory.</p><p>-the pdb files are the starting structures for multicopy refinement. The "4 and 18 uJ" starting structures are for the 23- and 101 mJ/cm2 case (and the power titration), for the low-fluence data the other dark structures ("1 uJ") need to be substituted. Details of the multicopy refinement scheme are in the publication.</p><p> </p><p>Back in the top folder, the subfolder GEOMETRY contains the .cif file which describes the heme geometry used<br>for all refinements. In it, the prior ESDs for the planarity of the heme have been increased<br>from 0.02 to 0.2</p><p><br>The STREAMS folder contains the CrystFEL stream files used for Monte Carlo integration. There are four subdirectories, one for each time series, and a separate one for the power titration.</p><p>DARKS contains the refined dark structures as well as the MTZ files with the dark data. </p><p><br>POWERTITRATION contains the power titration multicopy refinement results, as well as the MTZ files with the integrated data.<br> </p><p>TIMESERIES contains the time series multicopy refinement results.</p>
Polarisation-independent ultrafast laser selective etching processing in fused silica
<p>Data files for the manuscript: Polarisation-independent ultrafast laser selective etching processing in fused silica</p>
Control of the electron dynamics in solid-state high harmonic generation on ultrafast time scales by a polarization-skewed laser pulse
<p>Dataset of the publication “Control of the electron dynamics in solid-state high harmonic generation on ultrafast time scales by a polarization-skewed laser pulse”, by X. Song, S. Yang, G. Wang, J. Lin, L. Wang, T. Meier, and W. Yang, published in Optics Express 31, 18862 (2023) , <a href="https://doi.org/10.1364/OE.491418">https://doi.org/10.1364/OE.491418</a> .<br> The zip file includes a brief description, the data on which the plot of figures 1 – 3 are based, and matlab figure files.</p>
Farey tree and devil's staircase of frequency-locked breathers in ultrafast lasers
<p>all the raw data for the main figures of our literature "Farey tree and devil's staircase of frequency-locked breathers in ultrafast lasers"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.