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.
1,940
datasets available to search
ShareScore release 0.9.0
Dataset results
1,940 results for “pulses”
Fig. 5 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 5. Relationship between beta diversity (mean distance to centroid), environmental heterogeneity and period of the hydrological cycle. a. Beta diversity of non-migratory fish species with external fertilization and parental care (NEFC); b. beta diversity of non-migratory fish species with internal fertilization (NIF).
Fig. 4 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 4. Beta diversity variation among the guilds. The boxes represent the interquartile ranges, the horizontal lines indicate the medians, the bars indicate the minimum and maximum values, and the closed diamonds represent the mean beta diversity of each guild. LMEF: long-distance migratory and external fertilization; NEFC: non-migratory with external fertilization and parental care; NEFW: nonmigratory with external fertilization without parental care; NIF: non-migratory with internal fertilization; DET: detritivorous; HER: herbivorous; INS: insectivorous; INV: invertivorous; ONI: omnivorous; and PIS: piscivorous.
Fig. 2 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 2. Hydrometric-level (a) and environmental heterogeneity (b) variation between 2000 and 2012 in the Paraná River. The horizontal black dashed line indicates the flood level of the floodplain. Source: ANA - Estação Fluviométrica of Porto São José, PR.
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>
Detection of ultra-weak laser pulses by free-running single-photon detectors: modeling dead time and dark counts effects
<p>In quantum communication systems, the precise estimation of the detector´s response to the incoming light is necessary to avoid security breaches. The typical working regime uses a free-running single-photon avalanche diode in combination with attenuated laser pulses at telecom wavelength for encoding information. We demonstrate the validity of an analytical model for this regime which considers the effects of dark counts and dead time on the measured count rate. For the purpose of gaining a better understanding of these effects, the photon detections were separated from the dark counts via a software-induced gating mechanism. The model was verified by experimental data for mean photon numbers covering three orders of magnitude as well as for laser repetition frequencies below and above the inverse dead time. Consequently, our model would be of interest for predicting the detector response not only in the field of quantum communications, but also in any other quantum physics experiment where high detection rates are needed.</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>
High-power intracavity single-cycle THz pulse generation using thin lithium niobate
<p>This dataset is accompanying the paper "High-power intracavity single-cycle THz pulse generation using thin lithium niobate"<br><br><strong>Autocorrelation.txt:</strong> second harmonic generation noncollinear autocorrelation trace data. (measurement device: Femtochrome FR-103XL)</p><p><strong>Spectrum.txt:</strong> optical spectrum (measurement device: APE wavescan)</p><p><strong>RF_1Mspan.txt:</strong> radio frequency spectrum with 1 MHz span (measurement device: ROHDE & SCHWARZ FPC1000)</p><p><strong>RF_1Gspan.txt:</strong> radio frequency spectrum with 1 GHz span (measurement device: ROHDE & SCHWARZ FPC1000)</p><p><strong>EOS_THz_raw.h5: </strong>electro-optic sampling raw data of the THz measurement in HDF-5 format (measurement device: ROHDE & SCHWARZ RTM3004)</p><p><strong>EOS_noise_raw.h5: </strong>electro-optic sampling raw data of the noise measurement in HDF-5 format (measurement device: ROHDE & SCHWARZ RTM3004)</p><p><strong>THz_time.csv:</strong> processed electro-optic sampling data of the THz measurement in time</p><p><strong>THz_freq.csv:</strong> processed electro-optic sampling data of the THz measurement in frequency</p><p><strong>Dark_time.csv:</strong> processed electro-optic sampling data of the noise measurement in time</p><p><strong>Dark_freq.csv:</strong> processed electro-optic sampling data of the noise measurement in frequency</p>
A Novel Laboratory Technique for Measuring Grain Size Specific Transport Characteristics of Bed Load Pulses
<p>We present a novel, time-efficient and non-destructive laboratory technique to investigate grain size specific transport characteristics of bed load pulses. The method consists of a through-water, high-resolution image acquisition followed by the application of a supervised color classification algorithm (Gaussian Maximum Likelihood Classification). Quality assessment based on a confusion matrix approach and basic random sampling showed a high classification performance. By statistically analyzing the temporal and spatial color distribution of the experimental reach, characteristic parameters to describe the propagation behavior were determined. The analyzed bed load pulse consisted of five different grain size classes of dyed quartz sand and gravel, each having a unique color. The initial experimental bed was uni-colored and contained the same size fractions as the augmented pulse.</p>
Figure 3 in A Pulsing-Mirror Eye in a Deep-Sea Ostracod
Figure 3. Ray tracing of light imaged on the Gigantocypris sp. retina: (A–B) when the luminous object is distant, the oscillations of the parabolic reflector cause the object to go in and out of focus at the retina, as the reflector is relaxed and then "flattened"; (C–D) when the luminous object is nearby, the oscillations of the parabolic reflector cause little change to the image focused on the retina.
Figure 2. Frame from a in A Pulsing-Mirror Eye in a Deep-Sea Ostracod
Figure 2. Frame from a magnified video recording of a resting Gigantocypris sp. showing paired eyes only, anterior view. The mirrors appear silver; the layer of black, absorbing pigment beneath is not visible. A white-yellow light is back-reflected.
An unusual pulse shape change event in PSR J1713+0747 observed with the Green Bank Telescope and CHIME: Profile data and figure reproduction scripts
<p>This Zenodo entry contains data used in the paper "An unusual pulse shape change event in PSR J1713+0747 observed with the Green Bank Telescope and CHIME", to be published in The Astrophysical Journal. This includes minimally processed profile data in PSRFITS format, as well as pulsar ephemerides (.par files), time-of-arrival estimates (.tim files), and scripts which can be used to reproduce the figures and tables in the paper. For more information, see README.md.</p>
Decoupling silicon metabolism from carbon and nitrogen assimilation poises diatoms to exploit episodic nutrient pulses in a coastal upwelling system
<p>Diatoms serve as the major link between the marine carbon (C) and silicon (Si) biogeochemical cycles through their contributions to primary productivity and requirement for Si during cell wall formation. Although several culture-based studies have investigated the molecular response of diatoms to Si and nitrogen (N) starvation and replenishment, diatom silicon metabolism has been understudied in natural populations. A series of deckboard Si-amendment incubations were conducted using surface water collected in the California Upwelling Zone near Monterey Bay. Steep concentration gradients in macronutrients in the surface ocean coupled with substantial N and Si utilization led to communities with distinctly different macronutrient states: replete ('healthy'), low N ('N-stressed'), and low N and Si ('N- and Si-stressed'). Biogeochemical measurements of Si uptake combined with metatranscriptomic analysis of communities incubated with and without added Si were used to explore the underlying molecular response of diatom communities to different macronutrient availability. Metatranscriptomic analysis revealed that N-stressed communities exhibited dynamic shifts in N and C transcriptional patterns suggestive of compromised metabolism. Expression patterns in communities experiencing both N and Si stress imply that the presence of Si stress may partially ameliorate N stress and dampen the impact on organic matter metabolism. This response builds upon previous observations that the regulation of C and N metabolism is decoupled from Si limitation status, where Si stress allows the cell to optimize the metabolic machinery necessary to respond to episodic pulses of nutrients. Several well-characterized Si-metabolism associated genes were found to be poor molecular markers of Si physiological status; however, several uncharacterized Si-responsive genes were revealed to be potential indicators of Si stress or silica production.</p>
Figure 1. Gigantocypris dracontovalis Cannon, 1940 in A Pulsing-Mirror Eye in a Deep-Sea Ostracod
Figure 1. Gigantocypris dracontovalis Cannon, 1940, whole animal, lateral view; muscles (yellow) behind parabolic mirrors of left eye evident (dorsal left-centre).
Generation of Ammonia in a Pulsed Hollow Cathode Discharge
<p>A hollow cathode discharge with a copper nickel cathode (Cu50Ni50) was operated in an Ar/H2/N2 gas mixture. Optical emission spectroscopy revealed the formation of NH radicals, which serve as precursors for NH3 formation. Ion mass spectrometry showed the formation of NH3+ and NH4+ ions indicating NH3 formation. Gas samples taken at the exhaust of the vacuum system were analyzed by Fourier transform infrared spectroscopy. Clear evidence for NH3 formation was obtained from these measurements</p>
Constraining the Properties of the Thermonuclear Burst Oscillation Source XTE J1814-338 Through Pulse Profile Modelling
<p>Constraining the Properties of the Thermonuclear Burst Oscillation Source XTE J1814-338 Through Pulse Profile Modelling</p>
Raw data for "Modular Pulse Program Generation for NMR Supersequences"
<p>Raw data for the paper <em>Modular Pulse Program Generation for NMR Supersequences</em>, which accompanies the GENESIS website for automatic generation of NOAH pulse programmes.</p> <p>Please note that this contains data only, not any of the accompanying figures. The same datasets may alternatively be downloaded from GitHub, if preferred: https://github.com/yongrenjie/genesis-paper/releases/tag/final-revision</p> <ul> <li>For the figures, and the scripts used to generate them, please see https://github.com/yongrenjie/genesis-paper (the repository readme contains detailed instructions on reproducing the figures)</li> <li>For the GENESIS source code and a LaTeX version of the paper itself, please see https://github.com/yongrenjie/genesis</li> <li>For the GENESIS website itself, please see https://nmr-genesis.co.uk</li> </ul>
Supplementary material: Picosecond pulse-shaping for strong three-dimensional field-free alignment of generic asymmetric-top molecules
<p><strong>Supplementary material to the manuscript <em>"Picosecond pulse-shaping for strong three-dimensional field-free alignment of generic asymmetric-top molecules"</em> by Terry Mullins, Evangelos T. Karamatskos, Joss Wiese, Jolijn Onvlee, Arnaud Rouzée, Andrey Yachmenev, Sebastian Trippel, and Jochen Küpper, <em>Nat Commun</em> 13, 1431 (2022). <a href="https://doi.org/10.1038/s41467-022-28951-z">https://doi.org/10.1038/s41467-022-28951-z</a>, arXiv: <a href="https://arxiv.org/abs/2009.08157">2009.08157 </a></strong></p> <ul> <li> <em><strong>simulations_part.z*</strong> </em>is split zip archive containing simulations data for indole molecule, such as files with rotational probability density distributions computed at different times <span class="math-tex">\(t=0..1500\)</span> ps during the laser pulse and field-free evolution, and example python scripts for data retrieval.</li> <li><strong><em>rawdata_part.z*</em></strong> is split zip archive containing raw experimental data.</li> <li><strong><em>analysis_scripts.zip</em></strong> is zip archive containing experimental analysis codes.</li> </ul> <p><strong>The <em>simulations_part.zip</em> contains the following files and folders:</strong></p> <ul> <li><em><strong>prob_density_euler_angles</strong></em> contains files <em>rotdens_av_<time>.gz</em> with simulated state-averaged rotational probability density distributions in terms of Euler angles for different times <time>, ranging from the beginning of the alignment laser pulse at <span class="math-tex">\(t=0\)</span> up to <span class="math-tex">\(t=1500\)</span> ps with a time step of 1 ps.<br> Calculations of probability density distributions were done using <a href="https://github.com/CFEL-CMI/richmol">Richmol</a> program.<br> The gzipped ASCII data files <em>rotdens_av_<time>.gz</em> contain in columns the values of the Euler angles <span class="math-tex">\(\phi,\theta,\chi\)</span> followed by the normalized probability density value.</li> <li><em><strong>prob_density_atoms_xyz</strong></em> contains files <em>monte_carlo_av_<time>.h5</em> with state-averaged rotational probability density distributions of all atoms in the indole molecule in terms of their Cartesian coordinates, for different times <time>, ranging from the beginning of the alignment pulse at <span class="math-tex">\(t=0\)</span> up to <span class="math-tex">\(t=1500\)</span> ps with a time step of 1 ps.<br> Structure of <em>monte_carlo_av_<time>.h5</em> HDF5 files:<br> Key Description<br> ----- ----------------<br> 'C10' - Cartesian coordinates of carbon atom no. 10<br> 'C11' - Cartesian coordinates of carbon atom no. 11<br> 'C12' - ...<br> 'C14' - ...<br> 'C3' - ...<br> 'C6' - ...<br> 'C7' - ...<br> 'C9' - ...<br> 'N4' - ...<br> 'H1-C3' - Cartesian coordinates of a vector pointing from carbon atom no. 3 to hydrogen atom no. 1<br> 'H13-C11' - ...<br> 'H15-C12' - ...<br> 'H16-C14' - ...<br> 'H2-N4' - ...<br> 'H5-C7' - ...<br> 'H8-C9' - ...<br> 'ref_vectors' - reference molecular-frame Cartesian coordinates of all atoms<br> 'x' - coordinates of the x-axis of Principal Axes of Inertia Frame<br> 'y' - coordinates of the y-axis of Principal Axes of Inertia Frame<br> 'z' - coordinates of the z-axis of Principal Axes of Inertia Frame<br> 'pol_x' - coordinates of the x-axis of Principal Axes of Polarizability Frame<br> 'pol_y' - coordinates of the y-axis of Principal Axes of Polarizability Frame<br> 'pol_z' - coordinates of the z-axis of Principal Axes of Polarizability Frame</li> <li><em><strong>indole_deflected_states.txt</strong></em> ASCII file contains initial populations of rotational states of indole in the deflected beam.<br> The following data is arranged in columns: <em>m, J</em>, <em>id</em>, <em>energy</em>, <em>normalized population</em>. The <em>J</em> and <em>m</em> are rotational quantum numbers of the total angular momentum and its <em>Z</em>-projection, the <em>id</em> number refers to the state's index in file <em>indole_energies_j0_j20.txt</em> listing rotational states of indole.</li> <li><em><strong>indole_data.py</strong></em> Python module provides basic functions to extract information from HDF5 data files <em>monte_carlo_av_<time>.h5</em>. It can also be used to compute alignment and orientation.</li> <li><em><strong>example_cos.py</strong></em> and <em><strong>example_dens.py</strong></em> Python scripts that demonstrate how to use <em>indole_data.py</em> module for computing and plotting alignment traces and a 2D projection of the probability density distribution, respectively.</li> <li><em><strong>monte_carlo.py</strong></em> Python script that was used to compute through Monte-Carlo sampling probability density distributions for Cartesian positions of atoms in indole (<em>monte_carlo_av_<time>.h5</em> files) using probability density distribution functions in Euler angles (outputs of Richmol program <em>rotdens_av_<time>.gz</em>).</li> </ul> <p><strong>The <em>analysis_scripts.zip</em> contains the following files and folders:</strong></p> <ul> <li><strong><em>H_Plus</em></strong> folder contains codes relevant for the analysis of H<sup>+</sup> ion data. <ul> <li><strong><em>analyse_full_alignment_scans.m</em></strong>: subtracts background and combines delay scan data sets together, takes account of errors.</li> <li><em><strong>calculate_resamped_df.m</strong></em>: called by <em>analyse_full_alignment_scans.m</em> to calculate the frequency sampling.</li> <li><em><strong>unique_mean.m</strong></em>: called by <em>analyse_full_alignment_scans.m</em> when combining data sets. Combines non-unique data points into a single data point.</li> </ul> </li> <li><em><strong>C_Plus2</strong></em> folder contains codes for the analysis of C<sup>2+</sup> ion data. The file descriptions are identical to those in the <em>H_Plus</em> directory.</li> <li><em><strong>intensity/calculate_intensity.m</strong></em>: calculates peak intensity of the laser pulse from measured parameters as well as statistical error.</li> <li><em><strong>intensity/compare_exp_sim.m</strong></em>: fits experimental and theoretical tomography and delay-dependent 2D projection values.</li> <li><em><strong>intensity/nir2hdf5_kHz.py</strong></em>: converts raw data files (from <em>rawdata_part.z*</em> archive<em>)</em> into hdf5 files.</li> </ul>
Preliminary In Vivo Pulse-Acquire MRI with Concentric Ring Trajectories at 7 Tesla
<p>Pulse-Acquire MRI with Concentric Ring Trajectories, 305 Hz Readout Bandwidth, 350x350x99 Matrix,<br> voxel size 0.63x0.63x1.34 mm3, TR 60 ms, 5° FA, Acquisition Delay 5 ms, TA 13 min</p>
Spatiotemporal attosecond control of electron pulses via subluminal terahertz waveforms
<p>The dataset contains the electron deflectograms and evanescent wave profiles. </p>
Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning
<p>Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning, consisting of 2 data files and 221 presentations of TGF-Optical emission events observed by ASIM between end of March 2019 and November 2020.</p> <p>See 0_READ_ME for information about the individual files and variables.</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.