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124 results for “chirping”
An intense, cold, velocity-controlled molecular beam by frequency-chirped laser slowing - supporting data
<p>These are the data presented in figures 3, 4, 5, 6 and 7 of our paper "An intense, cold, velocity-controlled molecular beam by frequency-chirped laser slowing". The first line of each data file explains the content. The second line labels the columns. The remaining rows give the data.</p>
Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics
<p>Simulation data for "Characteristics of Wave-Particle Power Transfer as a Function of Electron Pitch Angle in Nonlinear Frequency Chirping" which will be submitted to Journal of Geophysical Research: Space Physics.</p> <p>Including the simulation input parameter file and the necessary output data to plot each figure in the article. </p>
Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset
<p><strong>Global CHIRPS MCWD Dataset</strong></p> <p>The MCWD (Maximum Cumulative Water Deficit) is a measure of drought severity, which corresponds to the maximum value of the monthly accumulated water deficit reached for each pixel within the year. The MCWD is a useful indicator of meteorologically induced water stress without taking into account local soil conditions and plant adaptations, which are poorly understood in Amazonia. The full method of MCWD is described in Aragão et al. (2007; <a href="https://doi.org/10.1029/2006GL028946">https://doi.org/10.1029/2006GL028946</a>). Detail about CHIRPS (Rainfall Estimates from Rain Gauge and Satellite Observations) can be found in Funk et al. (2015; <a href="https://doi.org/10.1038/sdata.2015.66">https://doi.org/10.1038/sdata.2015.66</a>).</p> <p> </p> <p><strong>Coverage:</strong> Spanning 50°S-50°N (and all longitudes/land areas)</p> <p><strong>Period:</strong> 1981 to 2020</p> <p><strong>Spatial resolution:</strong> 0.05-degree</p> <p><strong>Temporal resolution:</strong> Annual</p> <p><strong>Coordinate reference system:</strong> Geographic Coordinate System (Datum WGS84)</p> <p><strong>File format:</strong> The zip file containing 40 files (one per year) in compressed TIFF format.</p> <p><strong>Code:</strong> <a href="https://zenodo.org/record/5034650">https://zenodo.org/record/5034650</a></p> <p><strong>Dataset usage</strong>: It is free to use, but if you use this dataset in your work, please make sure to cite the repository and our paper properly. We also welcome users to invite us for collaboration.</p> <p><strong>For the use of this dataset, please cite:</strong></p> <p>Silva Junior, C.H.L. et al. Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset. <em>Zenodo</em> (2021). DOI: 10.5281/zenodo.4903340. <a href="https://doi.org/10.1038/s41597-020-00600-4">https://doi.org/10.5281/zenodo.4903340</a></p> <p>Silva Junior, C.H.L. et al. Fire Responses to the 2010 and 2015/2016 Amazonian Droughts. <em>Front. Earth Sci</em>. (2019). DOI: 10.3389/feart.2019.00097. <a href="https://doi.org/10.3389/feart.2019.00097">https://doi.org/10.3389/feart.2019.00097</a></p> <p>Funk, C. et al. The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. <em>Scientific Data</em> (2015). DOI: 10.1038/sdata.2015.66. <a href="https://doi.org/10.1038/sdata.2015.66">https://doi.org/10.1038/sdata.2015.66</a></p>
Simulation data of "Controlling the chirping of chorus waves via magnetic field inhomogeneity"
<p>Simulation data of "Controlling the chirping of chorus waves via magnetic field inhomogeneity", including waveform recorded at certain locations, part of 2D wave field and wave spectrogram obtained with 2D FFT. </p>
Chirped-Pulse Broadband Spectra of Benzene Discharges
<p>Broadband chirped-pulse spectra of electrical discharges mixtures of Benzene with O<sub>2</sub> and N<sub>2</sub>.</p> <p>Spectra were recorded at the Center for Astrophysics | Harvard & Smithsonian on separate occasions; integration times are around ~12 hours (run overnight).</p> <p>X000 and X001.csv files correspond to assignments made in each experiment; the leading number corresponds to the mixture, while the last digit corresponds to mid-band (0—6–19 GHz) and high-band (1—18–27 GHz) measurements.</p> <p>4000/4001 - Benzene + Ne buffer gas</p> <p>5000/5001 - Benzene + O<sub>2</sub> + Ne buffer gas</p> <p>6000/6001 - Benzene + N<sub>2</sub> + Ne buffer gas</p> <p> </p> <p>fit_SI.pdf corresponds to a compiled PDF of all of the assignments made across the experiments, including a `.fit` and `.lin` printout, where applicable. Entries with the fit outputs contain the parameter encodings used in the SPFIT program. This PDF was generated using `rosetta_stone_final.csv`, which provides a comprehensive mapping/naming used to refer to molecules studied in these mixtures.</p> <p> </p> <p>The spectra used for analysis are provided as `.txt` files—prefixed by the mixture, with the corresponding frequency range for the acquisition.</p>
Dual chirped microcomb based parallel ranging at megapixel-line rates
<p>Available data for manuscript: "Dual chirped microcomb based parallel ranging at megapixel-line rates"</p> <p>Arxiv version: https://arxiv.org/abs/2101.03952</p> <p>Execution tested with Matlab 2019a or newer on Windows. Unzip folder to access files.</p> <p>For Figures and SI Figures execute "Figure*.m" files in corresponding subfolders.<br> Contact anton.lukashchuk@epfl.ch or anton.lukashchuk@skolkovotech.ru if problems with matlab code arise. <br> All matlab code remains under copyright by the authors: Anton Lukashchuk and Johann Riemensberger; the code is provided solely to be used to reproduce the figures of the aforementioned paper.</p> <p>Raw data for the figures is stored in folder .\Data. GDS file of Si3N4 photonic damascene waveguide resonators is stored in folder: GDS_design. </p>
Fig. 11 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 11. Distribution of the genus Sphaeromimus de Saussure & Zehntner, 1902 in south-eastern Madagascar. Map modified after Moat & Smith 2007.
Fig. 9 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 9. Sphaeromimus midongy sp. nov., schematic drawing, ♂, holotype (FMNH-INS 3119888). A. 1st left coxae and stima carrying plate. B. 2nd left coxae and stigma carrying plate. C. 9th left leg. D. Anterior view of right anterior telopod. E. Posterior view of right anterior telopod. F. Lateral view of right anterior telopod. G. Left posterior telopod, anterior view. H. Posterior view of left posterior telopod. Abbreviations: as = anterior spine; cl = claw; ct = crenulated teeth; cx = coxa; fe = femur; gp = gonopore; lb = lobe; pof = postfemur; pref = prefemur; sp = spine; sr = stridulation rib; st = stigmatic plate; syn = syncoxite; ta = tarsus; ti = tibia; vs = ventral spine; 1–4 = podomeres. Scale bars = 1 mm.
Fig. 10 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 10. Maximum likelihood tree based on the COI sequence after 1000 bootstrap replicates under the GTR+G+I model. Branch length indicates genetic distance. Numbers on branches indicate bootstrap support. Schematic drawing shows right anterior telopod of Sphaeromimus midongy sp. nov. Numbers in circles indicate number of stridulation ribs on the male harp.
Fig. 8 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 8. Sphaeromimus midongy sp. nov., SEM of endotergum, ♂, holotype (FMNH-INS 3119888). A. Overview, endotergum. B. Margin of endotergum, detail. Abbreviations: (1) = inner part; (2) = middle part; (3) = outer part.
Fig. 6 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 6. Sphaeromimus kalambatritra sp. nov., schematic drawing, ♀, paratype (CASENT 9058301). A. Left vulva (2nd coxa). B. Subanal plate. Abbreviations: cx = coxa; ep = exterior plate; ip = interior plate; op = operculum; pref = prefemur; sr = stridulation ribs. Scale bars = 1 mm.
Fig. 7 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 7. Sphaeromimus midongy sp. nov., SEM of left antenna, ♂, holotype (FMNH-INS 3119888). A. Overview. B. Detail of antennal disc. C. Detail of margin of antennal disc. Abbreviations: aD = antennal disc; SB = sensilla basiconica; SC = sensory cone; I–VI = antennomeres.
Fig. 4 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 4. Sphaeromimus kalambatritra sp. nov., SEM of endotergum, ♂, holotype (CASENT 9068297- A). A. Overview, endotergum. B. Margin of endotergum, detail. Abbreviations: (1) = inner part; (2) = middle part; (3) = outer part.
Fig. 2 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 2. Sphaeromimus kalambatritra sp. nov., SEM of left antenna, ♂, holotype (CASENT 9068297- A). A. Overview. B. Antennal disc, detail. C. Margin of antennal disc, detail. Abbreviations: aD = antennal disc; SB = sensilla basiconica; SC = sensory cone; I–VI = antennomeres.
Fig. 1 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 1. Sphaeromimus kalambatritra sp. nov. A. Lateral view. B–D. Volume rendering of head based on µCT-images, female paratype (CASENT 9058301). B. Head, outer fronto lateral view. C. Head, inner posterior view of sclerotized structures only. D. Head, inner posterior view of sclerotized structures and soft structures. E. Segmentation of the left tentorium and nebententorium, frontal view. Abbreviations: aD = antennal disc; atm = antennal muscle; C = condylus of mandible gnathal lobe; eb = epipharyngeal bar; G = gula; gls = gnathal lobe sclerite; hb = hypopharyngeal bar; il = incisura lateralis; iP = inner palpi; lab = labium; LL = lamella lingualis; m = mandibular muscle; mdb = mandibular base; Me = mentum; mgl = mandible gnathal lobe; mp = molar plate; nt = nebententorium; oc = ocelli; PM = paramentum; pp = posterior process; St = stipes of gnathochilarium; td = tendon; tm = tentorial muscle; to = Tömösváry organ; tt = tentorium; I–VI = antennomeres.
Fig. 3 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 3. Sphaeromimus kalambatritra sp. nov., SEM of mouthparts, ♂, holotype (CASENT 9068297- A). A. Gnathochilarium overview, ventral. B. Gnathochilarium overview, frontodorsal. C. Lateral palpus, detail. D. Inner palpus, detail. E. Central pad, detail. F. Right mandible, overview. G. Pectinate lamellae, detail. Abbreviations: C = condyles; cP = central pad; eT = exterior teeth; Hyp = hypopharynx; iP = inner palpus; iT = inner teeth; LL = lamella lingualis; LP = lateral palpus; Me = mentum; mp = molar plate; pl = pectinate lamellae; ST = stipes of gnathochilarium.
Fig. 5 in Integrative description of two new species of Malagasy chirping giant pill-millipedes, genus Sphaeromimus (Diplopoda: Sphaerotheriida: Arthrosphaeridae)
Fig. 5. Sphaeromimus kalambatritra sp. nov., schematic drawing, ♂, holotype (CASENT 9068297-A). A. 1st left coxae and stigma carrying plate. B. 2nd left coxa and stigma carrying plate. C. 9th left leg. D. Left anterior telopod, anterior view. E. Left anterior telopod, posterior view. F. Left anterior telopod, lateral view. G. Left posterior telopod, anterior view. H. Left posterior telopod, posterior view. Abbreviations: as = anterior spine; cl = claw; ct = crenulated teeth; cx = coxa; fe = femur; gp = gonopore; lb = lobe; pof = postfemur; pref = prefemur; sp = spine; sr = stridulation rib; st = stigmatic plate; syn = syncoxite; ta = tarsus; ti = tibia; vs = ventral spine; 1–4 = podomeres. Scale bars = 1 mm.
SToF-Chirp dataset
<p>Chirp Ultrasound Dataset for StofNet</p> <ul> <li>TDK DK-CH101 Smartsonic Platform Sensor (see sensor_specs.yaml for details)</li> <li>3 target classes: 1) wooden ruler, 2) metal stick, 3) paper chart</li> <li>100 measurements per distance (20 test, 80 train) at 9 distances</li> <li><em>true distance</em> by average of manufacturer estimates</li> <li><em>true measurements</em> by average of multiple acquisitions</li> <li>averaging is accomplished from 200 separate samples (not part of test and train)</li> </ul> <p>Author: <a href="http://www.hahne.website">Christopher Hahne</a><br> Year: 2023</p> <p><strong>CC-BY license</strong><br> This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p>
Dataset related to "High-frequency optimally windowed chirp rheometry for rapidly evolving viscoelastic materials: Application to a crosslinking thermoset"
<p>Knowledge of the evolution in the mechanical properties of a curing polymer matrix is of great importance in composite parts or structure<br>fabrication. Conventional rheometry, based on small amplitude oscillatory shear, is limited by long interrogation times. In rapidly evolving<br>materials, time sweeps can provide a meaningful measurement albeit at a single frequency. To overcome this constraint, we utilize a combined<br>frequency- and amplitude-modulated chirped strain waveform in conjunction with a homemade sliding plate piezo-operated rheometer (PZR)<br>and a dual-head commercial rotational rheometer (Anton Paar MCR 702) to probe the linear viscoelasticity of these time-evolving materials.<br>The direct controllability of the PZR, resulting from the absence of any kind of firmware and the microsecond actuator-sensor response<br>renders this device ideal for exploring the advantages of this technique. The high frequency capability allows us to extend the upper limits of<br>the accessible linear viscoelastic spectrum and, most importantly, to shorten the length of the interrogating strain signal (OWCh-PZR) to subsecond<br>scales, while retaining a high time-bandwidth product. This short duration ensures that the mutation number (NMu) is kept sufficiently<br>low, even in fast-curing resins. The method is validated via calibration tests in both instruments, and the corresponding limitations are discussed.<br>As a proof of concept, the technique is applied to a curing vinylester resin. The linear viscoelastic (LVE) spectrum is assessed every<br>20 s to monitor the rapid evolution in the time and frequency dependence of the complex modulus. Comparison of the chirp implementation,<br>based on parameters such as duration of the experiment, sampling frequency, and frequency range, in a commercial rotational rheometer with<br>the PZR provides further information on the applicability of this technique and its limitations. Finally, FTIR spectroscopy is utilized to gain<br>insights into the evolution of the chemical network, and the gap dependence of the evolving material properties in these heterogeneous<br>systems is also investigated</p>
Dataset for "Collective Excitation of Spatio-Spectrally Distinct Quantum Dots Enabled by Chirped Pulses"
<p><strong>Dataset for "Collective Excitation of Spatio-Spectrally Distinct Quantum Dots Enabled by Chirped Pulses"</strong></p> <p>This dataset contains data for <a href="https://arxiv.org/abs/2209.08972v1">https://arxiv.org/abs/2209.08972v1</a> </p> <p>The data is in either .txt or .csv format. The zip file includes the following folders and data:</p> <ul> <li> <p><strong>Folder 2DMap-QD1-0Chirp</strong></p> <ul> <li>This folder contains 800 spectra as .txt files, and 1 folder includes power values.</li> <li>Please integrate (sum up) the data around the emission lines of interest (X and XX) and reshape the data into a 16x50 matrix to plot the 2DMap.</li> </ul> </li> <li> <p><strong>Folder 2DMap-QD1-maxChirp</strong></p> <ul> <li>This folder contains 3200 spectra as .txt files, and 1 folder includes power values.</li> <li>Please integrate (sum up) the data around the emission lines of interest (X and XX) and reshape the data into a 64x50 matrix to plot the 2DMap.</li> </ul> </li> <li> <p><strong>Folder 2DMap-QD2-0Chirp</strong></p> <ul> <li>This folder contains 800 spectra as .txt files, and 1 folder includes power values.</li> <li>Please integrate (sum up) the data around the emission lines of interest (X and XX) and reshape the data into a 16x50 matrix to plot the 2DMap.</li> </ul> </li> <li> <p><strong>Folder 2DMap-QD2-maxChirp</strong></p> <ul> <li>This folder contains 1600 spectra as .txt files, and 1 folder includes power values.</li> <li>Please integrate (sum up) the data around the emission lines of interest (X and XX) and reshape the data into a 32x50 matrix to plot the 2DMap.</li> </ul> </li> <li> <p><strong>Folder G2-QD2-0Chirp</strong></p> <ul> <li>This folder contains a single CSV file named "BFC-g2-150ps_09-08-17" with two columns: "Time" and "Counts".</li> </ul> </li> <li> <p><strong>Folder G2-QD2-MaxChirp</strong></p> <ul> <li>This folder contains a single CSV file named "g2-250-ps_2022-07-14_08-10-17" with two columns: "Time" and "Counts".</li> </ul> </li> </ul>
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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.