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2,107 results for “Spectrum”
DATA for Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles
<p>data used for: </p><p>Nano Ranking Analysis: determining NPF event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles</p><p>https://doi.org/10.5194/ar-2023-5</p>
A wideband, high-resolution vector spectrum analyzer for integrated photonics
<p>This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.</p>
The Production of Jordanian Arabic Passive Structures by Children with Autism Spectrum Disorder
Open the record for dataset details and reuse information.
Bandwidth Investigation of Spread Spectrum Singals
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Dataset underlying publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA
<p>This archive contains datasets underlying plots of the publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA".</p> <p>Datasets contain header, and a minimum script to reproduce figures is provided</p> <p>This work was supported by the European Metrology Program for Innovation and Research (EMPIR), Project 20FUN08 Nextlasers, which<br>received funding from the EMPIR programme cofinanced by the Participating States and from the European Union’s Horizon 2020 research and innovation program. </p>
Dynamic Tactility by Position-Encoded Spike Spectrum
<p>Title: Dynamic Tactility by Position-Encoded Spike Spectrum<br> Authors: Taeyeong Kim1, Jaehun Kim2, Insang You3, Joosung Oh1, Sung-Phil Kim2*, Unyong Jeong1*<br> Affiliations:<br> 1 Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea<br> 2 Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea<br> 3 Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea<br> *Corresponding authors: spkim@unist.ac.kr, ujeong@postech.ac.kr </p>
On following pages: 26. Striped Hairy-nosed Bat (Gardnerycteris crenulatum); 27. Keenan's Hairy-nosed Bat (Gardnerycteris keenani); 28. Koepcke's Hairy-nosed Bat (Gardnerycteris koepckeae); 29. Kalko's Round-eared Bat (Lophostoma kalkoae); 30. Pygmy Round-eared Bat (Lophostoma brasiliense); 31. Carriker's Round-eared Bat (Lophostoma carrikeri); 32. Schulz's Round-eared Bat (Lophostoma schulzi); 33. Western Round-eared Bat (Lophostoma occidentale); 34. Davis's Round-eared Bat (Lophostoma evotis); 35. White-throated Round-eared Bat (Lophostoma silvicola); 36. Greater Round-eared Bat (Tonatia bidens); 37. Stripe-headed Round-eared Bat (Tonatia saurophila); 38. Pale-faced Bat (Phylloderma stenops); 39. Pale Spearnosed Bat (Phyllostomus discolon; 40. Lesser Spearnosed Bat (Phyllostomus elongatus); 41. Greater Spearnosed Bat (Phyllostomus hastatus); 42. Guianan Spearnosed Bat (Phyllostomuslatifolius); 43. Woolly False Vampire Bat (Chrotopterus auritus); 44. Southern Golden Bat (Mimon bennett); 45. Cozumelan Golden Bat (Mimon cozumelae); 46. Spectral Bat (Vampyrum spectrum). in Phyllostomidae
On following pages: 26. Striped Hairy-nosed Bat (Gardnerycteris crenulatum); 27. Keenan's Hairy-nosed Bat (Gardnerycteris keenani); 28. Koepcke's Hairy-nosed Bat (Gardnerycteris koepckeae); 29. Kalko's Round-eared Bat (Lophostoma kalkoae); 30. Pygmy Round-eared Bat (Lophostoma brasiliense); 31. Carriker's Round-eared Bat (Lophostoma carrikeri); 32. Schulz's Round-eared Bat (Lophostoma schulzi); 33. Western Round-eared Bat (Lophostoma occidentale); 34. Davis's Round-eared Bat (Lophostoma evotis); 35. White-throated Round-eared Bat (Lophostoma silvicola); 36. Greater Round-eared Bat (Tonatia bidens); 37. Stripe-headed Round-eared Bat (Tonatia saurophila); 38. Pale-faced Bat (Phylloderma stenops); 39. Pale Spearnosed Bat (Phyllostomus discolon; 40. Lesser Spearnosed Bat (Phyllostomus elongatus); 41. Greater Spearnosed Bat (Phyllostomus hastatus); 42. Guianan Spearnosed Bat (Phyllostomuslatifolius); 43. Woolly False Vampire Bat (Chrotopterus auritus); 44. Southern Golden Bat (Mimon bennett); 45. Cozumelan Golden Bat (Mimon cozumelae); 46. Spectral Bat (Vampyrum spectrum).
X-Shooter spectrum of VHS 1256-1257 b
<p>A detailed description of these data is provided in Petrus et al. 2022</p>
Size spectrum, time series and atom number distribution of macroalgal emission vapors and oxidation products
<p>We conducted oxidation and NPF experiments with vapor emissions from real-world coastal macroalgae in a bag reactor. The dataset showed the measurement results of volatile precursors and their oxidation products. The dataset was organized by the order of figures in our submitted manuscript.</p>
Density power spectrum of three red giant stars observed by Kepler
<p>Density power spectrum of three red giants stars observed by Kepler in the frequency range 50-280 µHz. Kepler data are publicly available from the Mikulski Archive for Space Telescopes (MAST) portal at <a href="https://archive.stsci.edu">https://archive.stsci.edu</a>. They have been corrected following García et al. (2011, MNRAS 414, L6).</p>
Characterisation of Laser Wakefield Acceleration Efficiency with Octave Spanning Near-IR Spectrum Measurements
<p>The dataset and analysis codes for the publication "Characterisation of Laser Wakefield Acceleration Efficiency with Octave Spanning Near-IR Spectrum Measurements".</p> <p>Analysis code is stored as jupyter notebooks.</p>
Met4DX: A mass spectrum-oriented computational framework for ion mobility-resolved untargeted metabolomics
<p><strong>Raw LC-IM-MS data</strong> to run Met4DX and <strong>RT recalibration table</strong> for multi-dimensional match</p> <p>Each dataset was archieved into a zip, containing raw LC-IM-MS data (.d format) and corresponding RT recalibration table (.csv format).</p>
Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis
<p>This archive contains data files that can be used to reproduce Figures 7-10 in the article</p> <blockquote> <p>Wieczorek, M. A. (2018) Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis, J. Geophys. Res. Planets.</p> </blockquote> <p>The data files contain the final inversion results for the model using magnetized sills, where the full magnetic field to spherical-harmonic degree 449 was employed. For each localized analysis, the best 6 orthogonal localization windows were used that maximized their power within a spherical cap with an angular radius of 8 degrees and with a spherical-harmonic bandwidth of 58. The analyses were performed at the vertices of a quasi equal-area grid with a spacing corresponding to five degrees of latitude. For these models, the file names start with "sills_449_8_58_5". Each file contains the latitude and longitude (in degrees) of the localization analysis, as well as one other value.</p> <p><br> FILE DESCRIPTIONS</p> <p>sills_449_8_58_5_minchi2r.dat</p> <p>This file contains the minimum reduced chi<sup>2</sup> value of the best-fitting model for each analysis. Uncertainties on the inversion parameters were obtained from Monte Carlo simulations that showed 68.2% and 95.4% of the analyses should have reduced chi<sup>2</sup> values less than 2.133 and 4.082, respectively. Where 1-sigma uncertainties could not be calculated (when the best-fitting misfits were above the 1-sigma limits) the limit was set to +/- 999.e99.</p> <p>sills_449_8_58_5_db.dat<br> sills_449_8_58_5_db_1m.dat<br> sills_449_8_58_5_db_1p.dat</p> <p>The best-fitting depths to the bottom of the magnetized region and their +/- 1-sigma limits (1p/1m).</p> <p>sills_449_8_58_5_dt.dat<br> sills_449_8_58_5_dt_1m.dat<br> sills_449_8_58_5_dt_1p.dat</p> <p>The best-fitting depths to the top of the magnetized region and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rdisk.dat<br> sills_449_8_58_5_rdisk_1m.dat<br> sills_449_8_58_5_rdisk_1p.dat</p> <p>The best-fitting angular radii (in km) of the magnetized sills and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rkm2v2.dat<br> sills_449_8_58_5_rkm2v2_1m.dat<br> sills_449_8_58_5_rkm2v2_1p.dat</p> <p>The best-fitting (N M^2 V^2)^(1/2) values in A m^2 of the magnetized sills and their +/- 1-sigma limits.<br> </p>
Crack density evolution on glass/epoxy laminates under spectrum loadings (MOST - Spoke 11 - Task 6.3)
Open the record for dataset details and reuse information.
Seed dispersal by the cosmopolitan house sparrow widen the spectrum of unexpected endozoochory by granivore birds
<p>Presence of seeds from different plant species found in the droppings of the house sparrow (<em>Passer domesticus</em>) and their viability determined by the tetrazolium test.</p>
Data for "Hofstadter spectrum of Chern bands in twisted transition metal dichalcogenides"
<p>Data used to generate each Figure is in files denoted fig....hdf5. <br>These files contain results for multiple parameter values. The group "data" can be read into a pandas dataframe, providing an index and scalar data.<br>Vector valued data is stored in individual datasets, indexed by the index in "data" along 0-th axis.<br>For an example readout, see "example.py".</p> <p>See README.txt for notes on individual files.</p>
Raman carbonaceous-material spectrum data used to estimate the peak temperatures of the samples
<p>Open files are Raman carbonaceous-material spectrum data obtained from the Ohyamamisaki conglomerate and the Higashigo Formation (eastern Shikoku) as well as the Nyunokawa conglomerate and the Ryujin Formation (central-western Kii Peninsula), Shimanto Accretionary Complex. The data can be analysed using the code proposed by Kaneki and Kouketsu (Island Arc, 2022, https://doi.org/10.1111/iar.12467) or PeakFit ver. 4.12. The data have been used in Shimura et al. (submitted to Tectonics).</p>
Dataset related to the article 'The activation cascade of the broad-spectrum antiviral bemnifosbuvir characterized at atomic resolution'
<p>Raw data related to the scientific article "The activation cascade of the broad-spectrum antiviral bemnifosbuvir characterized at atomic resolution": </p> <ul> <li>Excel file: Numerical data related to the figures 1B, S8AB, S6B as well as Table 1. Raw data related to figure 3A and S4AB are the same than data associated with Table 1.</li> <li>PDF file: Image data of uncropped SDS-PAGE gels. </li> </ul>
The early development of infant siblings of children with autism spectrum disorder: Characteristics of sibling interactions
<p>Dataset associated with the paper "The early development of infant siblings of children with autism spectrum disorder: Characteristics of sibling interactions; Bontinck, C., Warreyn, P., Van der Paelt, S., Demurie, E., & Roeyers, H."</p>
Animated plots of the spectrum and polarisation of Cassiopeia A based on a 24 hour observation with LOFAR Station IE613
<p>This collection of animated plots over time of the variation in channel flux for the linear polarisation channels XX, XY and YY and Stokes Parameters U, V, I and Q against frequency for Cassiopeia A as observed at LOFAR station IE613 between 2018-03-16 and 2018-03-17 using the HBA</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.