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1,179 results for “Probe”
A Test of Energetic Particle Precipitation Models Using Simultaneous Incoherent Scatter Radar and Van Allen Probes Observations
<p>BERI modeling reuslts for "A Test of Energetic Particle Precipitation Models Using Simultaneous Incoherent Scatter Radar and Van Allen Probes Observations"</p>
Evaluating Augmented Reality Light Probe Estimation Techniques using a Single Camera (Supplemental Material)
<p>This repository contains the dataset for the paper "Evaluating Single Camera Augmented Reality Light Probe Estimation Techniques".</p> <p>The data archive includes:</p> <ul> <li>The complete image set (3 scenes with 6 techniques and ground truth in 90 time points)</li> <li>SSIM data of the panoramas as a CSV file</li> <li>SSIM data of the rendered images as a CSV file</li> <li>Various graphs to visualize the data</li> <li>R files used to plot the graphs</li> </ul> <p>The data archive includes additional plots that are not included in the paper.</p>
Spin-Charge Conversion in Fe/Au/Sb2Te3 Heterostructures as Probed By Spin Pumping Ferromagnetic Resonance (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Spin-Charge Conversion in Fe/Au/Sb<sub>2</sub>Te<sub>3</sub> Heterostructures as Probed By Spin Pumping Ferromagnetic Resonance</em>" by <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/admi.202101244">E. Longo et al.<em>, </em><em>Adv. Mater. Interfaces</em> 2021, 2101244</a>.</p>
RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique
<p>Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.</p>
Probing two-electron multiplets in bilayer graphene quantum dots
<p>Data and scripts used to generate the figures in the publication<br> "Probing two-electron multiplets in bilayer graphene quantum dots" by S. Möller et al., Phys. Rev. Lett. 127, 256802, https://doi.org/10.1103/PhysRevLett.127.256802 are available here.</p> <p> </p>
Deep tissue localization and sensing using optical microcavity probes
<p>Data and code for publication Deep tissue localization and sensing using optical microcavity probes.</p>
Laser-equipped gas reaction chamber for probing environmentally sensitive materials at near atomic scale
<p>Five atom probe datasets as featured in the PLOSone journal concerning the methodology of laser-assisted thermochemical gas treatments of atom probe needles, two comparing the deuterium charged and uncharged states of a steel and comparing various early states of direct hydrogen reduction of FeO.</p>
Models and data in support of "Probing the southern African lithosphere with magnetotellurics" parts I+II
<p>These directories contain the original model and data files for the publications "Probing the southern African lithosphere with magnetotellurics, Part I, model construction" and "Probing the southern African lithosphere with magnetotellurics, Part II, linking electrical conductivity, composition and tectonomagmatic evolution". The two codes used to generate these results are</p> <p>jif3D (Moorkamp et al. 2011) available via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D and<br> ModEM (Kelbert et al. 2014) (https://sites.google.com/site/modularem/download)</p> <p>All scripts to produce plots are written in Python (Version 3) and require a working Python environment (e.g. Anaconda under Windows https://www.anaconda.com/). Two helper classes are contained in the files mtclass.py (for reading data files) and mtmodel.py (for reading models). These require the packages<br> netcdf4, mtpy, rasterio, matplotlib, numpy, geopandas, cartopy and possibly a few others. If you get error messages related to missing packages, the typical solution is to call "conda install packagename" (Windows) or "pip3 install packagename".</p> <p>We include 3 main Python scripts:</p> <p>PlotHorizontalSlices.py plots horizontal slices through the inversion models similar to Figures 8-11 in part I. However, you get all slices from the surface to the bottom of the model domain. The output is a single PDF called HorSlices.pdf<br> PlotMisfit.py produces 5 different PDF files. Each one shows comparisons between observed and predicted data for all sites used in each inversion.<br> PlotGeoTiff.py produces horizontal slices through the models in GeoTiff format for use in GIS programs or Google Earth. The output files are large (total 1 GB per model), therefore it is currently set to only produce output for one model (jif3D with maximum data). This can be changed by using other filenames (see PlotHorizontalSlices.py).</p> <p>These scripts are also meant as a basis for other scripts for new analyses of these results. All material here is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license (https://creativecommons.org/licenses/by-sa/4.0/).</p> <p> </p> <p> </p> <p>References</p> <p>Moorkamp, M., Heincke, B., Jegen, M., Roberts, A. W., & Hobbs, R. W. (2011). A framework for 3-D joint inversion of MT, gravity and seismic refraction data. Geophysical Journal International, 184(1), 477-493.<br> Kelbert, A., Meqbel, N., Egbert, G. D., & Tandon, K. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Computers & Geosciences, 66, 40-53.</p>
Supplementary Movies: "Probing the dynamics of Streptococcus pyogenes Cas9 endonuclease bound to sgRNA complex using hydrogen-deuterium exchange mass spectrometry"
<p>Movies related to the article "Probing the dynamics of Streptococcus pyogenes Cas9 endonuclease bound to sgRNA complex using hydrogen-deuterium exchange mass spectrometry" in the International Journal of Molecular Science. "MD_Movie_Cas9_sgRNA_DNA" is the video of SpCas9-sgRNA-DNA complex behavior during 50 ns molecular dynamics simulation. In this movie, SpCas9 protein domains are shown in the following colors: REC lobe (green), CTD (blue), RuvC (pink), L-I-II (yellow), Arg (violet), and HNH (orange). RNA presented in cyan, and DNA -in dark blue.</p> <p>Movies "SpCas9_HeatMap" and "SpCas9-sgRNA_HeatMap" show the hydrogen exchange levels superimposed onto the protein structure obtained from MD trajectories. Relative uptake level presented at the time points of 10 s, 30 s, 1 min, 2 min, 5 min, 10 min, 30 min, 60 min, 120 min, 240 min, 360 min, and 480 min. The exchange scale is shown in a rainbow color scheme, where blue corresponds to the minimum uptake, while red corresponds to the highest observed uptake.</p>
Visualizing local fast ionic conduction pathways in nanocrystalline lanthanum manganite by isotope exchange-atom probe tomography - dataset
<p>Raw data for atom probe tomography 2D elemental reconstructions of 18O-exchanged La0.8Sr0.2MnO3 thin films. LSM thin films were deposited by large-area PLD (PVD Systems – PLD 5000) using a 248 nm KrF excimer laser (Lambda Physics – COMPex PRO 205). The layers were deposited on Al<sub>2</sub>O<sub>3</sub> (0001) single crystal substrate (Crystec GmbH). A thin barrier layer of Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>1.9</sub> (SDC) was deposited before the LSM film in order to avoid cationic intermixing at the interface. Both layers were deposited at 700 °C, under an oxygen pressure of 2.6 × 10<sup>−2</sup> mbar, target–substrate distance of 95 mm, laser fluency ≈1.2 J cm<sup>−2</sup> and 5 Hz of laser frequency. The thickness of LSM and SDC layers deposited was ≈45 nm and ≈35 nm, respectively, as measured by spectroscopy ellipsometry (UVISEL, Horiba scientific).The nominal oxygen exchange temperature and time were 550 °C and 1 h and 40 min, respectively. Instrument Cameca LEAP 4000X Si. APT performed at 45.5 K using a 30 pJ laser energy and 500 kHz pulse rate. The flight path length was 90 mm and the ion detection rate was set to 5 ions per 1000 pulses, resulting in a bias range of 5000–7400 V during the data collection. Reconstructions were generated in Cameca's IVAS 3.6.18 software. A systematic energy deficit correction was employed to improve the mass spectral resolution.</p>
A nuclear phylogenomic study of the angiosperm order Myrtales, exploring the potential and limitations of the universal Angiosperms353 probe set
<p>The premise of this study is to further advance the understanding of the species-rich, economically and ecologically important Myrtales, an angiosperm order in the rosid clade comprising nine families, approximately 400 genera and almost 14000 species occurring on all continents (except Antarctica). The potential of High Throughput Sequencing (HTS) and target enrichment with the Angiosperms353 probe kit is evaluated on a sample of 485 species in 305 genera (76% of all genera in the order). Results provide technical considerations for processing HTS data and the most comprehensive phylogenetic hypothesis for the order to date. Relationships at all ranks such as the relationship of the early diverging families, often reflect previous studies, but gene conflict is evident, and relationships previously found to be uncertain often remain so. HTS and the Angiosperms353 probe kit are powerful tools for phylogenomic analysis, but better understanding of the genetic data available is required to enable selection of genes and gene trees that account for incomplete lineage sorting and hybridisation events. </p>
Probing Heterodimer and Multi-adsorbate Hydrocarbon Adsorption Trends in the MFI Framework
<p>Ground-state geometries for all adsorbates heterodimer pairs and multiple adsorbate hydrocarbon sets as part of the Supplementary Information document for the manuscript titled 'Probing Heterodimer and Multi-adsorbate Hydrocarbon Adsorption Trends in the MFI Framework'. </p>
Dataset of "Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes"
<p>Dataset of the article <em>Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes </em>(<a href="https://doi.org/10.1016/j.expthermflusci.2022.110647">https://doi.org/10.1016/j.expthermflusci.2022.110647</a>). A data-driven method is applied to combine non-time-resolved velocity field and fast probe data, and achieve time-resolved velocity and pressure field.</p> <p>The codes processing data here are on https://github.com/erc-nextflow/Data-driven-pressure-estimation-with-EPOD.</p> <p>This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).</p>
Joining forces in Ochnaceae phylogenomics: A tale of two targeted sequencing probe kits
<p><strong>Premise:</strong> Both universal and family-specific targeted sequencing probe kits are becoming widely used for the reconstruction of phylogenetic relationships in angiosperms. Within the pantropical Ochnaceae, we show that with careful data filtering, universal kits are equally as capable in resolving intergeneric relationships as custom probe kits. Furthermore, we show the strength in combining data from both kits to mitigate bias and provide a more robust result to resolve evolutionary relationships.</p> <p><strong>Methods:</strong> We sampled 23 Ochnaceae genera and used targeted sequencing with two probe kits, the universal Angiosperms353 kit, and a family-specific kit. We used maximum likelihood inference with a concatenated matrix of loci and multispecies-coalescence approaches to infer relationships in the family. We explored phylogenetic informativeness and the impact of missing data on resolution and tree support.</p> <p><strong>Results:</strong> For the Angiosperms353 data set, the concatenation approach provided results more congruent with those of the Ochnaceae-specific data set. Filtering missing data was most impactful on the Angiosperms353 data set, with a relaxed threshold being the optimum scenario. The Ochnaceae-specific data set resolved consistent topologies using both inference methods, and no major improvements were obtained after data filtering. The merging of data obtained with the two kits resulted in a well-supported phylogenetic tree.</p> <p><strong>Conclusions:</strong> The Angiosperms353 data set improved upon data filtering, and missing data played an important role in phylogenetic reconstruction. The Angiosperms353 data set resolved the phylogenetic backbone of Ochnaceae as equally well as the family-specific data set. All analyses indicated that both Sauvagesia L. and Campylospermum Tiegh. as currently circumscribed are polyphyletic and require revised delimitation.</p>
On Trapped Modes In Variable White Dwarfs As Probes Of The 12C(α, γ)16O Reaction Rate
<p>The files in this dataset should have everything to re-produce figure 10, the summary plot in the manuscript.</p>
Data from: Non-Adiabatic Acceleration of Injected Electrons in the Inner Magnetosphere: Joint Observations by the Van Allen Probe and the BeiDa Imaging Electron Spectrometer
<p>The dataset is associated with the study entitled "Non-adiabatic acceleration of injected electrons in the inner magnetosphere: Joint observations by the Van Allen Probe and the BeiDa Imaging Electron Spectrometer"</p> <p>The file includes directional electron flux data obtained by the BeiDa Imaging Electron Spectrometer and follows NASA's Common Data Format (CDF).</p>
Original data for: Probing luminescence of rare earth ions in natural pink fluorites using Raman microscopes
<p>Data for Publication:</p> <p>Probing luminescence of rare earth ions in natural pink fluorites using Raman microscopes<br> Hans Hagemann, Sareh Ayoubipour, Teresa Delgado, Cédric Schnyder, Edwin Gnos</p> <p>Journal of Raman Spectroscopy, 2022;53:1464–1470</p> <p>https://doi.org/10.1002/jrs.6383</p> <p> </p>
Orignal data for publication: Probing traps in the persistent phosphor SrAl2O4:Eu2+,Dy3+,B3+ - A wavelength, temperature and sample dependent thermoluminescence investigation
<p>Original Data for publication (part of University of Geneva):</p> <p>Probing traps in the persistent phosphor SrAl2O4:Eu2+,Dy3+,B3+ - A wavelength, temperature and sample dependent thermoluminescence investigation<br> Jakob Bierwagen, Teresa Delgado, Guillaume Jiranek, Songhak Yoon, Nando Gartmann, Bernhard Walfort, Markus Pollnau , Hans Hagemann,<br> J. Lumin. 222 (2020) 117113.</p>
Overcoming contrast reversals in focused probe ptychography of thick materials: an optimal pipeline for efficiently determining local atomic structure in materials science
<p>Files concerning the publication "Overcoming contrast reversals in focused probe ptychography of thick materials: an optimal pipeline for efficiently determining local atomic structure in materials science"(arxiv:2205.13308 )</p>
Data for "Ultrafast Spin-Charge Conversion at SnBi2Te4/Co Topological Insulator Interfaces Probed by Terahertz Emission Spectroscopy"
<p>Data for "Ultrafast Spin-Charge Conversion at SnBi2Te4/Co Topological Insulator Interfaces Probed by Terahertz Emission Spectroscopy"</p> <p>(<a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.202102061">https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.202102061</a> and <a href="https://arxiv.org/pdf/2203.08756.pdf">https://arxiv.org/pdf/2203.08756.pdf</a>)</p> <p> </p> <p>E Rongione, S Fragkos, L Baringthon, J Hawecker, E Xenogiannopoulou, P Tsipas, C Song, M Mičica, J Mangeney, J Tignon, T Boulier, N Reyren, R Lebrun, J‐M George, P Le Fèvre, S Dhillon, A Dimoulas, H Jaffrès</p>
ScienceDex guides
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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.