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1,179 results for “Probe”
Smartstone probe data of a landslide experiment
<p>The files contain data of four Smartstone probes recorded during a landslide experiment. The MATLAB data files are named after the particular pebbles (1 to 4), which were equipped with the probes. The files contain acceleration (acc) and gyroscope (gyr) data as well as a time code (time).</p>
Probe Trace _ Logo
<p>Project's logo in 3 different file format: Microsoft Word Object format, Image (Enhanced Metafile), Image (PNG)</p>
Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy"
<p>Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy" (<a href="https://aip.scitation.org/doi/10.1063/5.0022369">Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy: Applied Physics Reviews: Vol 7, No 4 (scitation.org)</a> and <a href="https://arxiv.org/abs/2012.06900">[2012.06900] Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy (arxiv.org)</a> )</p>
Probing Patchy Reionization with the Void Probability Function in the era of RST
<p>Neutral hydrogen attenuates the Lyman-alpha emission of galaxies, dimming and increasing the apparent clustering of Lyman-Alpha Emitters (LAEs). LAEs are more likely to be observed in the regions that have already been ionized, so LAEs within more neutral intergalactic medium appear more clustered. Using the Jensen et al 2014 simulations of LAEs at various ionization fractions, we show how the Void Probability Function (VPF) measures the clustering signals caused by an increasingly neutral intergalactic medium. The VPF is sensitive to voids and can be easily compared for samples of the same number density, and therefore might be the best option for teasing out the particular clustering caused by 'inside-out' patchy reionization. We simulate what ionization fractions constraints the Lyman Alpha Galaxies in the Epoch of Reionization (LAGER) survey can give with the VPF, and motivate the use of the VPF for reionization surveys with WFIRST.</p>
Plasma potential (triangle dots) at 70 mm from the plasma collector and mean energy of electrons (circle dots) obtained from the current-voltage characteristic of the Langmuir probe
<p>Plasma potential (triangle dots) at 70 mm from the plasma collector and mean energy of electrons (circle dots) obtained from the current-voltage characteristic of the Langmuir probe</p>
SMAdd-seq: Probing chromatin accessibility with small molecule DNA intercalation and nanopore sequencing
<p>Studies of in vivo chromatin organization have relied on the accessibility of the underlying DNA to nucleases or methyltransferases, which is limited by their requirement for purified nuclei and enzymatic treatment. Here, we introduce a nanopore-based sequencing technique called Small-Molecule Adduct sequencing (SMAdd-seq), where we profile chromatin accessibility by treating nuclei or intact cells with a small molecule, angelicin. Angelicin reacts with thymine bases in linker DNA not bound to core nucleosomes after UV light exposure, thereby labeling accessible DNA regions. By applying SMAdd-seq in Saccharomyces cerevisiae, we demonstrate that angelicin-modified DNA can be detected by its distinct nanopore current signals. To systematically identify angelicin modifications and analyze chromatin structure, we developed a neural network model, NEural network for mapping MOdifications in nanopore long-reads (NEMO). NEMO accurately called expected nucleosome occupancy patterns near transcription start sites at both bulk and single-molecule levels. We observe heterogeneity in chromatin structure and identify clusters of single-molecule reads with varying configurations at specific yeast loci. Furthermore, SMAdd-seq performs equivalently on purified yeast nuclei and intact cells, indicating the promise of this method for in vivo chromatin labeling on long single molecules to measure native chromatin dynamics and heterogeneity.</p>
Data for The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics
<p>Experimental and computational data and analysis workflows for the manuscript "The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics" (doi:10.1038/s41586-023-06827-6). </p><p>Python scripts:</p><ol><li>paper_tke_plots_pub.py is for experimental TKE plots</li><li>analysis_pumping_pub.py is for computational TKE plots</li></ol><p>Python requirements for the work-up of experimental data are the typical scientific python stack: numpy, matplotlib, scipy, pandas, sympy. Computational counterpart of the TKE experiment uses essentially the same hopping analysis as our computational study https://www.nature.com/articles/s41563-022-01316-z with its scripting available at https://github.com/apoletayev/anomalous_ion_conduction/ . The python package requirements are, in addition to above, networkx, freud, deepgraph, fastparquet, pyarrow. All python scripts work best when run in a notebook-like fashion cell by cell (e.g. with spyder).<br><br>Experimental data: TKE, OKE, THz transmission.<br>Computational data: example simulations of Na beta-alumina, K beta-alumina, K beta"-alumina. The files include tracking the simulation temperatures, centers of mass of the mobile ions, and hopping. <br><br>Basic usage: download and unzip data. Install python dependencies (e.g. using conda or pip). Run python from the same directory in which the data folders are located. All paths in the scripts are relative.</p>
Genetic differentiation at methylation array probe SNPs leads to spurious results in meQTL discovery
<p>Data Associated with Figures 1 and 2 in Communications Biology Matters Arising: Genetic differentiation at methylation array probe SNPs leads to spurious results in meQTL discovery. Original data arising from B. Li et al. <i>Communications Biology</i> <a href="https://doi.org/10.1038/s42003-022-03353-5">https://doi.org/10.1038/s42003-022-03353-5</a> (2022)</p>
Data for "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby"
<p>Simulation results of the spacecraft-plasma interactions of probe B1 of Comet Interceptor obtained with the Spacecraft Plasma Interaction Software (SPIS) and the ElectroMagnetic Spacecraft Environment Simulator (EMSES). Detailed descriptions of the simulations and the results are given in the paper "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby" by Bergman et al.</p><p>Contact email: sofiabergmanphd@gmail.com</p>
Dataset: Thermal noise calibration of functionalized cantilevers for force microscopy: effects of the colloidal probe position.
<p>Dataset for article "Thermal noise calibration of functionalized cantilevers for force microscopy: effects of the colloidal probe position"</p><p>The raw data is in the 6 zip files (AIO*.zip), which contains thermal noise spectra measured on the raw cantilevers close to the free end (folders AIO#, where #=1, 2 or 3 for samples A, B or C), or on the loaded cantilever at various positions along its length (folders AIO#-ScanHF, where #=1, 2 or 3 for samples A, B or C). The file format is Matlab data file (.mat), it include the vectors f (for frequency axis, in Hz) and p (power spectrum density, in m^2/Hz). Other variables are erreur (some internal check that the calibration of the interferometer is pertinent) and PointW (mean intensity collected by the interferometer, and mean contrast on the 2 quadrature signals). For the loaded cantilever, we also record the laser spot position (XFaisceau and YFaisceau, in µm, origin close to the free end on the cantilever), some timing information to track for drifts, and ellipse (a calibration step of the quadrature phase interferometer).</p><p>The SEM images of the samples are included in the zip file SEMimages.zip</p><p>All analysis scripts (Matlab .m files) are included:</p><ul><li>AnalyseAll.m reads the raw data files and extract all the pertinent information, saving it to file AnalyseAll.mat</li><li>Analysis_cp analyses the pre-processed data with the single contact point model</li><li>Analysis_endload analyses the pre-processed data with the rigid end load model</li><li>figspectrum.m creates Fig. 4 of the article</li><li>plot_cp_endload.m creates Fig. 5 and 6 of the article</li></ul><p>All other scripts (.m) are dependencies that are necessary for the 3 former scripts to run. All scripts are commented and should be self explanatory. Of interest are the scripts mode_shape_cp.m and mode_shape_endload.m, which compute the resonant mode shape of a loaded cantilever for the two models, when given the parameters on the load size and position.</p>
PERCEIVE Design Cultural Probe Kit Tools
<p>Cultural Probe Kit design tools, developed to analyse and study visitors behaviours in the field of Cultural Heritage, in relation to Curiosity, Sense of Care, Social Cohesion and Authenticity</p>
A target enrichment probe set for resolving phylogenetic relationships in the coffee family, Rubiaceae
<p><em>Rubiaceae </em>is among the most species-rich, morphologically and geographically diverse plant families. Phylogenies have been inferred for many different groups across the family, however these have mostly relied on few genomic and plastid loci, as opposed to large-scale genomic data. Target enrichment provides the ability to generate sequence data for hundreds to thousands of phylogenetically informative, single-copy loci, which often leads to improved phylogenetic resolution at both shallow and deep taxonomic scales; however, a publicly accessible <em>Rubiaceae</em>-specific probe set that allows for comparable phylogenetic inference across clades is lacking. Here, we use publicly accessible genomic resources to identify putatively single copy nuclear loci for target enrichment in two <em>Rubiaceae </em>tribes: Hillieae (<em>Cinchonoideae</em>) and Palicoureeae+Psychotrieae (<em>Rubioideae</em>). We sequenced 2270 exons corresponding to 1059 supercontigs in our target clades, and generated in silico target enrichment sequences for other <em>Rubiaceae </em>taxa using our designed probe set. Our probe set, which we call <em>Rubiaceae </em>2270, was effective for targeting loci in species across and even outside of <em>Rubiaceae</em>. This probe set will facilitate phylogenomic studies in <em>Rubiaceae </em>and advance systematics and macroevolutionary studies in the family.</p>
Experimentally probing the effect of confinement geometry on lipid diffusion
<p>Dataset accompanying the J. Phys. Chem. B paper: "<span>Experimentally probing the effect of confinement geometry on lipid diffusion". Contains raw and processed FCS data, processed FRAP data, and VCell simulations, and Jupyter notebooks to generate the figures in the associated manuscript.</span></p>
Neutron Star - White Dwarf Binaries: Probing Formation Pathways and Natal Kicks with LISA
<p>We present supplementary datasets accompanying our publication<em> </em><a href="https://arxiv.org/abs/2310.06559">Neutron Star - White Dwarf Binaries: Probing Formation Pathways and Natal Kicks with LISA</a>.<em> </em>These catalogues reperesent the Galactic population of double white dwarf (DWD) and neutron star - white dwarf (NSWD) binaries emitting gravitational waves (GWs) in the <em>Laser Interferometer Space Antenna</em> (LISA) frequency band (0.1 mHz - 1 Hz). The catalogues have been constructed based on binary evolution models <a href="https://arxiv.org/abs/1208.6446">Toonen et al. 2012</a> for DWDs and <a href="https://arxiv.org/abs/1804.01538">Toonen et al. 2018</a> for NSWD binaries, obtained using SeBa binary population synthesis code.</p> <p><strong>Data contents</strong></p> <p>The dataset consists of <strong>12 catalogues </strong>representing Galactic populations of NSWD and/or DWD binaries, which are expected to be the most numerous types of binaries amongt LISA's Galactic sources. Each catalogue is distinguished by its model ID, which specifies the presence of NSWD and/or DWD binaries, the CE model used, CE efficiency values, and the NS natal kick prescription applied (see table below).</p> <p>Each catalogue is structured to describe a binary systems with the following attributes:</p> <ul> <li><strong>Name*</strong>: binary identifier; this consist of a prefix indicating the binary type (<code>'MW_DWD'</code> for a DWD binary, <code>'MW_NSWD_ecc0'</code> for a circular NSWD bianry, or <code>'MW_NSWD_ecc1'</code> for an eccentric NSWD binary) followed by a unique ID number. For example, <code>'MW_DWD 28713637'</code>.</li> <li><strong>Frequency</strong>: present-day GW frequency (Hz).</li> <li><strong>Frequency Derivative</strong>: rate of change of GW frequency over time (Hz^2).</li> <li><strong>Ecliptic Latitude</strong>: in radians (rad).</li> <li><strong>Ecliptic Longitude</strong>: in radians (rad).</li> <li><strong>Amplitude</strong>: GW amplitude (dimensionless).</li> <li><strong>Inclination</strong>: angle between the binary's orbital plane and our line of sight, in radians (rad).</li> <li><strong>Polarization</strong>: Orientation of the GW's polarization, in radians (rad).</li> <li><strong>Initial Phase</strong>: initial phase (rad).</li> <li><strong>Eccentricity</strong>: orbital eccentricity (dimensionless).</li> </ul> <p><strong>*</strong>Note that the <strong>Name </strong>field for eccentric NS+WD binaries (staring with <code>'MW_NSWD_ecc1'</code>) is not unique because these binaries are represented by multiple harmonics sharing the same name ID. The number of harmonics included varies for each binary to ensure that at least 99% of the binary's total GW power is represented. Thus, for each binary, we added harmonics incrementally until this threshold is reached.</p> <table> <tbody> <tr> <td>Model ID</td> <td>WD+WD</td> <td>NS+WD</td> <td>CE model</td> <td>CE efficiency</td> <td>NS natal kick</td> </tr> <tr> <td>1_0</td> <td>Yes</td> <td>No</td> <td>αα</td> <td>αλ=2.00</td> <td>N/A</td> </tr> <tr> <td>1_1</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Verbunt</td> </tr> <tr> <td>1_2</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Arzoumanian</td> </tr> <tr> <td>1_3</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Hobbs</td> </tr> <tr> <td>1_4</td> <td>Yes</td> <td>Yes</td> <td>αα</td> <td>αλ=2.00</td> <td>Blaauw</td> </tr> <tr> <td>2_0</td> <td>Yes</td> <td>No</td> <td>αα2</td> <td>αλ=0.25</td> <td>N/A</td> </tr> <tr> <td>2_1</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Verbunt</td> </tr> <tr> <td>2_2</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Arzoumanian</td> </tr> <tr> <td>2_3</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Hobbs</td> </tr> <tr> <td>2_4</td> <td>Yes</td> <td>Yes</td> <td>αα2</td> <td>αλ=0.25</td> <td>Blaauw</td> </tr> <tr> <td>3_0</td> <td>Yes</td> <td>No</td> <td>αγ</td> <td>αλ=2.00, γ=1.75</td> <td>N/A</td> </tr> <tr> <td>3_1</td> <td>Yes</td> <td>Yes</td> <td>αγ</td> <td>αλ=2.00, γ=1.75</td> <td>Verbunt</td> </tr> </tbody> </table> <p> </p> <h4><strong>Citing the Dataset</strong></h4> <p>When utilising these catalogues in your research, please cite <a href="https://arxiv.org/abs/2310.06559">Korol et al. 2024.</a> We also note our companion data-analysis-focused paper <a href="https://arxiv.org/abs/2310.06568">Moore et al. 2024</a>.</p>
Probing structural superlubricity of two-dimensional water transport with atomic resolution.
<p>Here lies the tabulated data used to create the Figures for the Science manuscript ado1544 titled "Probing structural superlubricity of two-dimensional water transport with atomic resolution".</p>
Heating curves of catalytic probe with cobalt tip and varying thicknesses of carbon nanowall deposition in oxygen plasma
<p>Heating curves measured while exposing catalytic probe to oxygen plasma. The tip of the probe was a cobalt disk, which was thoroughly oxidized before use. Varying deposition times of carbon nanowalls were used to achieve different thicknesses of the carbon nanowall layer, which altered the heating curve.</p>
Online data of "Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states"
<h1>Online data of "Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states"</h1> <p>DOI: https://doi.org/10.1038/s41467-024-54520-7</p> <h2>Authors</h2> <ul> <li>Franco De Palma</li> <li>Fabian Oppliger</li> <li>Wonjin Jang</li> <li>Stefano Bosco</li> <li>Marián Janík</li> <li>Stefano Calcaterra</li> <li>Georgios Katsaros</li> <li>Giovanni Isella</li> <li>Daniel Loss</li> <li>Pasquale Scarlino</li> </ul> <h2>Description</h2> <p>The data for all figures in the main text can be found in csv files in ASCII format in the corresponing folders. For Figures 4-6, the panels are numbered from top to bottom.</p>
Electrochemical Biosensing of Tuberculosis using CRISPR-Cas12a and redox-probe modified oligonucleotide
<p>We have submitted the manuscript in HELIYON </p> <p><span>Manuscript. Number: HELIYON-D-24-20798R3 </span></p> <p>Title: An electrochemical biosensor for the detection of tuberculosis specific DNA with CRISPR-Cas12a and redox-probe modified oligonucleotide. </p> <p>The dataset used in that study is available here. </p>
Surface Coordination Chemistry of Graphitic Carbon Nitride from Ag Molecular Probes
Open the record for dataset details and reuse information.
Atom Probe Tomoghraphy Pure Aluminium Dataset
<p>This dataset presents Atom Probe Tomography (APT) data for pure aluminum, acquired using the Oxcart instrument—a titanium APT system. The experiment was conducted and recorded by the PyCCAPT control module.</p> <p>The primary data file, "2382_Jan-10-2025_15-12_NiC9_Al.h5," collects raw data captured by the PyCCAPT control module.</p> <p>The dataset includes a calibrated files: "1748_Al.h5" and a range file "1748_Al_range.h5." The former contains calibrated APT data, while the latter provides information on the range data.</p> <p> </p>
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.