Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “Extreme ultraviolet”
Data for: Probing electron and hole co-localization by resonant four-wave mixing spectroscopy in the extreme-ultraviolet
<p>Data for: Probing electron and hole co-localization by resonant four-wave mixing spectroscopy in the extreme-ultraviolet</p>
Strong-field quantum control in the extreme ultraviolet using pulse shaping
<p>Dataset for supporting the findings of the paper 'Strong-field quantum control in the extreme ultraviolet using pulse shaping' (<span>https://doi.org/10.1038/s41586-024-08209-y</span>)</p>
Datasets for the article "The temperature and density of a solar flare kernel measured from extreme ultraviolet lines of O IV"
<p>This entry contains the following files:</p><p>20120309_030933_kernel_fe8_shift.save<br>20120309_030933_kernel_fe8_shift_fits.txt<br>20110814_055342_qs_offlimb_si10.save<br>20110814_055342_qs_offlimb_si10_fits.txt</p><p>The .save files are IDL save files that can be restored into IDL using the restore command.</p><p>The 20120309 save file contains:</p><p>swspec - An IDL structure containing a 1D spectrum of the flare kernel for the EIS short wavelength (SW) channel. The format is that returned by eis-mask-spectrum.pro.<br>lwspec - As above, but for the long-wavelength (LW) channel.<br>map185 - An IDL map structure containing the Fe VIII 185.21 image that was used to select the flare kernel.<br>mask185 - An IDL structure containing the pixel mask that is used as input to eis-mask-spectrum.pro.</p><p>The Gaussian fits to the spectra (as performed with the routine spec-gauss-eis.pro) are stored in 20120309_030933_kernel_fe8<i>s</i>hift_fits.txt. This file can be read with read_line_fits.pro in Solarsoft.</p><p>The 20110814 dataset is used to obtain an off-limb coronal spectrum for calibration purposes. The save file contains:</p><p>swspec - An IDL structure containing a 1D spectrum of the off-limb region for the EIS SW channel. The format is that returned by eis-mask-spectrum.pro.<br>lwspec - As above, but for the LW channel.<br>map - An IDL map structure containing the Si X 272 image that was used to select off-limb region.<br>mask - An IDL structure containing the pixel mask that is used as input to eis-mask-spectrum.pro.</p><p>The Gaussian fits to the spectra (as performed with the routine spec-gauss-eis.pro) are stored in 20110814_055342_qs_offlimb_si10_fits.txt. This file can be read with read_line_fits.pro in Solarsoft. </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p>
Supplementary material for the paper EXTREME ULTRAVIOLET AND X-RAY DRIVEN PHOTOCHEMISTRY OF GASEOUS EXOPLANETS - Chemical network details
<p>Supplementary material for the paper</p> <p>EXTREME ULTRAVIOLET AND X-RAY DRIVEN PHOTOCHEMISTRY OF GASEOUS EXOPLANETS</p> <p>by Locci et al. 2021, submitted to PSJ (R1 version)</p> <p>This document contains the complete list of the chemical reactions included in the model: bimolecular reactions (neutral-neutral and ion-neutral) in Table 1, termolecular reactions in Table 2, thermodissociative reactions in Table 3, reverse reactions in Table 4, and finally photochemical reactions in Table 5.</p>
An Extreme Ultraviolet Spectrum of a Coronal Loop Footpoint (from Landi & Young 2009)
<p>This record contains a spectrum from the Hinode EUV Imaging Spectrometer (EIS) that was analyzed by Landi & Young (2009, ApJ, 706, 1) and Young & Landi (2009, ApJ, 707, 173). The spectrum was shown in Figures 2-5 of Landi & Young (2009). The items are:</p> <p>sw_spectrum.txt - Spectrum from the EIS short wavelength (SW) channel [format: ASCII]</p> <p>lw_spectrum.txt - Spectrum from the EIS long wavelength (LW) channel [format: ASCII]</p> <p>mask.fits - A FITS file containing a 2D bitmap image that shows the spatial pixels that were averaged to yield the spectrum. The mask applies to the wavelength 194.66 angstroms.</p> <p>The spectra are created from the EIS data file beginning at 01:12 UT on 21-Feb-2007. After calibrating the dataset to level-1, the spectra are generated from the pixel mask using the IDL routine eis_mask_spectrum.pro that is available in the Solarsoft library. Further details about this software are available in EIS Software note 16, which is also available in Solarsoft.</p> <p>The Hinode data are publicly available through the Virtual Solar Observatory (https://sdac.virtualsolar.org/).</p> <p>The Solarsoft library is also publicly available at https://www.lmsal.com/solarsoft/.</p> <p>The spectrum is described at https://iopscience.iop.org/article/10.1088/0004-637X/706/1/1.</p> <p> </p>
Resulting videos from the article: A Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Images
<p>Videos called 'MFM PCP DMD ...' correspond to Figure 5 in the mentioned article. They show comparison of MFM, PCP, and DMD algorithms. Upper images in each year correspond to the separated background matrix, the lower images correspond to matrix of dynamic component. The videos cover 1.7 hours of observations starting at 06:00:00 UTC on 2011 June 7, 16:50:00 UTC on 2012 April 16 and 18:30:11 UTC on 2014 October 2.<br><br>The other videos correspond to Figure 7 in the article. They compare the results from PCP algorithm applied to the 30.4 and 17.1 nm AIA bandpasses. The videos starting at 16:50:00 UTC on 2012 April 16 and 18:30:11 UTC on 2014 October 2, respectively, and cover 1.7 hours of observations.</p>
Ultraviolet Exposure, Antioxidant Use and Skin Erythema at Extreme High Altitude
ClinicalTrials.gov study NCT00685438. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Experimental data for "Superradiant Thomson scattering from graphite in the extreme ultraviolet"
<p>Pretreated experimental data of an extreme ultraviolet (EUV) Thomson scattering experiment on highly oriented pyrolytic graphite (HOPG), described in the PNAS paper "Superradiant Thomson scattering from graphite in the extreme ultraviolet" by the same authors. Details on the experimental geometry and setup are available in the paper. </p> <p>The data contain information on the distribution of the Thomson scattering intensity, at varying the incident intensity. Given the observation that the ratio of the scattered to incident intensity is not constant throughout the experiment, but depends on the incident intensity, the pulse-by-pulse measured intensities are treated as follows. </p> <p>Each independent dataset (at given incident wavelength and polarization) of our experiment was treated by averaging the ratio of I_scat to the incoming I_0, R_scat (I_0) = I_scat (I_0)/I_0, over several different sample points. The average was taken in small enough intervals of I_0. Statistically meaningful data were obtained rejecting I_0 intervals with too few (<5) data within them and (rare) fluctuations larger than twice the standard deviations. These data are reported in the available files. </p> <p>The files are named after the value of the wavelength and polarization of the EUV free electron laser beam, exciting the HOPG sample.</p> <p>"lambda0-4nm" -> incident wavelength 4.08 nm<br>"lambda0-5nm" -> incident wavelength 4.74 nm<br>"pol-s" -> polarization orthogonal to the scattering plane<br>"pol-p" -> polarization parallel to the scattering plane</p> <p>The file column are as follows: <br>col. 1: incident EUV pulse intensity I_0 (central values for of the sampled intervals, see above)<br>col. 2: ratio between scattered and incident intensity R_scat = I_scat/I_0<br>col. 3: experimental error associated to col. 2, estimated as the standard deviation in the data relative to a given I_0 interval<br>col. 4: scattering angle.</p> <p>Col. 1,2,3 are in arbitrary units, as discussed in detail in the paper. </p> <p>Please note that in the case of lambda0-4nm, pol-s, two datasets are available, relative to two different graphite samples: these differ for a scaling value of I_0 (about the 20%), possibly associated to a slightly different surface quality and/or focusing conditions. </p> <p> </p>
Data from: Table-top extreme ultraviolet second harmonic generation
Open the record for dataset details and reuse information.
IMAGE Extreme UltraViolet (EUV) Imager, Modified Data 2 (M2), 10 min Data
The IMAGE extreme ultraviolet (EUV) imager detects resonantly scattered solar EUV photons with a wavelength of 30.4 nm that have been resonantly scattered by singly ionized helium (Sandel et al., 2000). The sizeable database of IMAGE global snapshots from the extreme ultraviolet (EUV) imager provides revolutionary observations of spatial and temporal plasma distributions throughout the plasmasphere. In this study, the IMAGE EUV data have been mapped to the equator using the approach detailed in Gallagher et al. (2005). IMAGE EUV data have been used to create an automated method that locates and extracts the plasmapause. The plasmapause extraction technique searches a set range of possible plasmasphere densities for a maximum gradient in order to identify the magnetic local time, MLT, dependent plasmapause position as a function of time. This description has been adapted from text appearing in Katus et al. (2015).
Extreme Ultraviolet Explorer
Launched in June, 1992, The Extreme Ultraviolet Explorer (EUVE) conducted the first extreme ultraviolet (70-760 Angstroms) survey of the sky and subsequently began a Guest Observer Program of pointed
ICON Extreme Ultraviolet Spectrograph Images
This describes the data produce for ICON EUV Daytime O+ (DP 2.6), which is in NetCDF4 format. These files are named ICON_L2-6_EUV_YYYY-MM-DD_vXXrZZ.NC, where YYYY-MM-DD is the year month day and VXX shows the version number and rZZ shows the revision number of this file. Each individual file nominally contains 1 day (24 hours) of data. The L2 EUV Daytime files are produced from the L1 EUV files, and their primary data product is the O+ profile derived from a retrieval that is detailed in a paper: https://doi.org/10.1007/s11214-017-0385-1. In addition, many other parameters and geophysical data products are included in the file. The data are identified in one of 3 var_types: data – which contains the primary data product; support data – which contains parameters used in the retrieval such as geometry etc. that may also be useful in any analysis of this data; and ignore_data – which are recorded for debugging purposes and should not be used for publication without detailed discussion with the ICON team. The dimensions of the data also indicate its type. For example, anything with epoch as a dimension means there is 1 value corresponding to each instrument exposure. Anything with dimension Input_data corresponds to the input data, passed from Level 1. Anything with a dimension of model refers to the forward model parameters used as part of the inversion. Anything with dimension altitude corresponds to the altitude grid used for the inverted parameters.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.