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1,206 results for “gamma”
Supporting Information for "First Results of Terrestrial Gamma-ray Flash observations by Insight-HXMT"
<p>The compressed file contains data for 282 HXMT Terrestrial Gamma-ray Flashes (TGFs), spanning from T0-1 second to T0+1 second. Below is a description of the data format included in the file.</p> <p>[HXMT 1K Science Data Description]</p> <p>1. The "Time" column represents the Mission Elapsed Time (MET) in seconds for HXMT, starting from 2012-01-01T00:00:00.</p> <p>2. The "Det_ID" column indicates the detector index for the 18 HXMT/HE NaI/CsI detectors, ranging from 00 to 17.</p> <p>3. The "Channel" column refers to the energy channel for HXMT/HE NaI/CsI detectors, which spans from 0 to 255. Data filtering often uses "Channel>30" to exclude lower energy events.</p> <p>4. The "Pulse_Width" column measures the pulse width of the detector signal in milliseconds. For HXMT/HE data, a Pulse Width value of N translates to N/48 ms. To filter the data, "Pulse_Width>75" is commonly used.</p> <p>5. The "ACD" column presents data from the anticoincidence detectors of the HXMT/HE Anti-Coincidence Detector (ACD). This data consists of an array of 18 boolean values, each corresponding to a specific ACD. For instance, if the first value in the array is 1, it indicates that the event was simultaneously detected by ACD-01; conversely, a 0 in the second position signifies that ACD-02 did not detect the event at the same time. Typically, events detected by any ACD are excluded from data analysis. Conversely, events are included in data analysis when all ACD values are 0.</p> <p>6. The "Event_Type" column describes the operational modes of the detector: 0 for normal-gain mode and 1 for low-gain mode.</p> <p>Details on the NaI/CsI and ACD detector installation positions and the relationship between energy and channel for both normal-gain and low-gain modes can be found in Song et al. 2022.</p>
Natural Gamma Ray (GR-K-Th-U)
<p>Natural Gamma Ray dataset from Sergipe Basin (Core SER-03).</p> <p>GR (cps); K (%), Th (ppm) and U (ppm)</p>
Project files provided as supporting information to the manuscript "Membrane binding of pore-forming gamma-hemolysin components studied at different lipid compositions"
<p><strong>Project files provided as supporting information to the manuscript "Membrane binding of pore-forming gamma-hemolysin components studied at different lipid compositions"</strong></p> <p>The dataset contains the following folders:</p> <p>- number_of_contacts: files with the number of contacts between the rim domains of LukF and Hlg2 and the membrane, for different bilayer compositions (Fig. 2).</p> <p>- binding_events: files with the duration of the time interavals in which LukF and Hlg2 are bound to the membrane, and the scripts used to compute for each system the number of binding/unbinding events and the average membrane residence time (Fig. 3).</p> <p>- electrostatic_potential: files of the surface electrostatic potential produced with the adaptive Poisson-Boltzmann solver and used for visualization with Chimera (Fig. 4).</p> <p>- angles: files with the angle values computed between the protein axis and the z-axis of the simulation box (Fig. 5).</p> <p>- contacts_per_residue: files with the number of frames in which each protein residue is in contact with the membrane, with respect to the total number of frames in which the rim domain interacts with the bilayer (Fig. 5).</p> <p>- distance_protein_membrane: files with the minimum distance between the protein and the membrane (Fig. 6).</p> <p>- binding_sites: file produced by PyLipid with relevant information on the main DOPC binding sites identified in LukF.</p> <p>- min_distance_per_residue: files with the minimum distance between each protein residue and the membrane, computed at the binding steps (Fig. S5).</p>
Production of Terrestrial Gamma-ray Flashes During the Early Stages of Lightning Flashes
<p>Supporting data to the paper "Production of Terrestrial Gamma-ray Flashes During the Early Stages of Lightning Flashes", Lindanger et al., 2022, JGR</p>
Data relating to "Millisecond Pulsars from Accretion Induced Collapse as the Origin of the Galactic Centre Gamma-ray Excess Signal"
<p>Data describe the evolution of a population of millisecond pulsars (MSPs) born from Accretion Induced Collapse.</p> <p>Data entries are comma-separated.</p> <p>The formation and subsequent evolution of 9194 MSPs have been modelled with code based on the BSE Code [see Hurley, J. R., Pols, O. R. & Tout, C. A. Comprehensive analytic formulae for stellar evolution as a function of mass and metallicity. Mon. Not. Roy. Astron. Soc. 315, 543–569 (2000)].</p> <p>For each MSP, the first row describes the magnetic field B (in Gauss) and the inclination angle (i, in radians) between magnetic & rotational axes.</p> <p>These quantities (B,i) do not evolve.</p> <p>Thus, every row containing only two entries indicates the beginning of the data covering a separate MSP.<br> For subsequent rows, there are seven entries in each row.</p> <p>The first entry in each row is the (discretised) time in units of Gyr since the star formation event when the MSP is formed. 0.1 is the minimum time possible time for which an MSP can be born. Subsequent discrete time steps are 0.1 Gyr. The last row for every MSP is for a time of 15.9 Gyr. </p> <p>Subsequent entries show (as a function of time)</p> <p>period (in s)</p> <p>period derivative dP/dt (s/s)</p> <p>NS mass (in units of solar masses)</p> <p>secondary mass (in units of solar masses)</p> <p>secondary type (for an explanation of secondary type label see Hurley, J. R., Pols, O. R. & Tout, C. A. Comprehensive analytic formulae for stellar evolution as a function of mass and metallicity. Mon. Not. Roy. Astron. Soc. 315, 543–569 (2000).</p> <p>orbital separation</p>
Supplementary material: Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics
<p>This repository contains supplementary data regarding the article "Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics" published by the Astrophysical Journal Letters.</p> <p>In particular, the repository contains:</p> <ul> <li>Markov Chain Monte Carlo samples for both the afterglow modelling and the circular gaussian fits to VLBI data</li> <li>clean radio images, residuals and UV coverage plots for all our VLBI epochs</li> </ul> <p>Data formats should be self-explanatory. Do not hesitate to contact us at omsharan.salafia@gmail.com for any question.</p>
Table S1. Mean longevity of gamma-sterilized male Ae. aegypti post-treatment by density, temperature, and duration factors
<p>This Table descibe mean longevity of gamma-sterilized male <em>Ae</em>. <em>aegypti</em> post-treatment by density, temperature, and duration factors.</p>
X-ray diffraction data of twinned gamma-form of o-nitroaniline
<p>The diffraction data are of the gamma-form of o-Nitroaniline, C<sub>6</sub>H<sub>6</sub>N<sub>2</sub>O<sub>3</sub>. This compound is known to be polymorphic; the alpha-form is probably amorphous, while the beta- and gamma-forms are crystalline. Difficulties with the unit-cell determination of the gamma-form were reported as a consequence of twinning. These newly recorded diffraction data are of a twinned crystal.</p> <p>The raw data and processing with EVAL are described in details in IUCrData as a Raw Data Letter [Lutz & Kroon-Batenburg, IUCrData (2022].</p> <p>The data were recorded on a Bruker ApexII diffractometer and stored as .sfrm files. They were also converted with Bruker imagesum.py script as part of the APEXII software to full .cbf files.</p>
Theory dataset for "Tunable Gamma-K Valley Populations in Trilayer WSe2"
<p>Dataset for the theoretical analysis presented in the paper "Tunable Gamma-K Valley Populations in Trilayer WSe2". Details of the contents are described in README.md.</p>
Data files for "Curvature in the very-high energy gamma-ray spectrum of M87"
<h1>Summary</h1> <p>In this repository, we provide some auxiliary material in connection to our paper “Curvature in the very-high energy gamma-ray spectrum of M87" accepted for publication in the Astronomy and Astrophysics (A&A) Journal and available on Arxiv through the ID <a href="https://arxiv.org/abs/2402.13330" target="_blank" rel="noopener">arXiv:2402.13330</a>. For the full list of authors, please refer to the paper.</p> <p>In the publication, we study the very-high energy gamma-ray spectrum of a stacked high emission state of M87 using H.E.S.S. observations. We detect a curvature in the spectrum that is not related to the EBL absorption. In addition to that, we show that the gamma-gamma absorption by star light from the galaxy is weak to explain the measured curvature and that it is unlikely that different high states with similar spectral distribution could be able to explain the same curvature.</p> <h1>Data and example code</h1> <h2>ECSV tables</h2> <p>The ecsv tables provide the means to reproduce the figures found in the paper. They can be opened with `astropy.QTable` as demonstrated below.</p> <pre><code>from astropy.table import QTable table = QTable.read('Fig1_lightcurve_table.ecsv') print(table)</code></pre> <p>The following example shows how to reproduce Fig. A2 from the paper (the modules imported are needed in the loaded enviroment):</p> <pre><code>from astropy.table import QTable from scipy.stats import gmean %matplotlib inline import matplotlib.pyplot as plt import numpy as np import seaborn as sns from ebltable.ebl_from_model import EBL cmap = sns.color_palette("colorblind", as_cmap=True) colors = sns.color_palette("colorblind", 6) ebl = {} for m in ["finke2022", "kneiske", "dominguez-upper"]: ebl[m] = EBL.readmodel(m) lmu = np.logspace(-1,3.,100) z = 0.0042 nuInu = {} for m, e in ebl.items(): nuInu[m] = e.ebl_array(z,lmu) nuInu table = QTable.read('FigA2_EBL_ULs.ecsv') wavelengths = table["Wavelength"].value wavelengths = wavelengths counter = 0 for m in ["finke2022", "kneiske", "dominguez-upper"]: plt.loglog(lmu,nuInu[m], lw = 2.,label=f"{m} UL", color=colors[counter] ) ULs = table[f"{m} UL"][(wavelengths>12.4)*(wavelengths<40)].value plt.loglog(wavelengths[(wavelengths>12.4)*(wavelengths<40)],ULs, lw = 2., label = f"UL (this work)", ls='dashed', color=colors[counter]) plt.arrow(gmean(wavelengths[(wavelengths>12.4)*(wavelengths<40)]), np.median(ULs), 0, -0.2*np.median(ULs), head_width=5 ,head_length=0.1*np.median(ULs), alpha=0.5, color=colors[counter]) counter+=1 plt.gca().set_xlabel('Wavelength ($\mu$m)',size = 'x-large') plt.gca().set_ylabel(r'$\nu I_\nu (\mathrm{nW}\,\mathrm{sr}^{-1}\mathrm{m}^{-2})$',size = 'x-large') plt.legend(loc = 'lower center', ncol = 2) plt.tight_layout() plt.show()</code></pre> <h2>Text files</h2> <p>The text files provide the gammapy fit results for the various analyses in the main text of the paper. For a complete definition of the models, we refer the reader to the paper. The name of the file is given by <em>fit_stacked_M87_<strong>MODEL</strong>_flux_90perc_<strong>ENERGYRANGE</strong>_90perc.txt</em>, where <strong>MODEL</strong> is the spectral model fitted (e.g., <em>PLxEBLfinke2022</em> or <em>PLxEBLfinke2022-free</em> in case the EBL intensity alpha_norm is a free parameter) and <strong>ENERGYRANGE</strong> is the energy range of the reduced dataset (e.g., <em>0.3_31.6TeV</em>).</p> <p> </p>
Precise positioning of gamma ray interactions in multiplexed pixelated scintillators using artificial neural networks
<p>Data used to train multiclass and binary neural networks to analyse SiPM (Silicon Photomultiplier) signals in a multiplexed array of 16 detectors and detect the signal detector origin. Data acquired using an oscilloscope. Results compared with previous anger logic methods. </p> <p>Dataset used in the publication</p> <p>"Precise positioning of gamma ray interactions in multiplexed pixelated scintillators using artificial neural networks"</p> <p>https://doi.org/10.1088/2057-1976/ad4f73</p>
Supporting information for the paper "Evidence of a new population of weak Terrestrial Gamma-ray Flashes observed from aircraft altitude" by I. Bjørge-Engeland et al.
<p>Supporting data for the paper "Evidence of a new population of weak Terrestrial Gamma-ray Flashes observed from aircraft altitude" by I. Bjørge-Engeland et al. </p>
Confocal microscopy of gH2AX and 53BP1 DNA repair foci of cells exposed to gamma-irradiation, pt. 2/3
<p><strong>Summary</strong></p> <p>Dataset of confocal microscopy data of cells exposed to gamma-irradiation and immunostained with gH2AX and 53BP1.</p> <ul> <li><strong>Part 1/3: </strong>Head and neck primocultures immunostained with gH2AX/53BP1, Testing dataset. DOI <a href="https://doi.org/10.5281/zenodo.2564980">10.5281/zenodo.2564980</a></li> <li><strong>Part 2/3 (this dataset)</strong>: U-87 and NHDF Cells exposed to 1-4 Gy confocal microscopy data of head and neck tumor primocultures immunostained with gH2AX/53BP1. Testing dataset. DOI <a href="https://doi.org/10.5281/zenodo.2572450">10.5281/zenodo.2572450</a>. 174 TIFFs</li> <li><strong>Part 3/3</strong>: training dataset for nuclei and gH2AX foci with ground truth annotation masks, head and neck primocultures (head and neck non-tumor and spinocellular tumor cells). DOI <a href="https://doi.org/10.5281/zenodo.2576241">10.5281/zenodo.2576241</a>. 150 TIFFs for nuclei learning incl 150 png nuclei masks + 99 TIFFs for DNA repair foci training</li> <li><strong>Code</strong>: the code is available at <a href="https://github.com/tomasvicar/LearnFoci">https://github.com/tomasvicar/LearnFoci</a></li> </ul> <p><strong>Materials and methods</strong></p> <p><em>Dataset</em></p> <p>Following cells were used: (1) patient primocultures of patients with spinocellular head and neck tumors (histologically verified tumor and tumor-adjacent tissues), isolation protocol descibed in <em>Svobodova et al, 2017</em>, (2) primary glioblastoma cell line U-87 (ATCC HTB-14, LGC Standards, United Kingdom), (3) primary normal human dermal fibroblasts (NHDF, PromoCell, Hedelberg, Germany) isolated from the dermis of juvenile foreskin or adult skin.<br> The study was conducted in accord with the Helsinki Declaration of 1964 and all subsequent revisions thereof. It was approved by the ethical committee of St. Anne’s Faculty Hospital, Brno. Primoculture cells were cultivated in Pen/Strep antibiotic solution (PAA Laboratories GmbH, Austria) in RPMI-1640 medium with 10% FBS (Biochrom, USA) at 37 °C and 50% CO2 in humidified atmosphere up to 50% confluence. U-87 were grown in Eagle's MEM with 10% FBS.</p> <p><em>Gamma irradiation</em></p> <p>The cells were irradiated at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic in a following schemes: (a) patient-derived primoculture was irradiated with a single dose of 2 Gy (D = 1 Gy/min) of gamma-rays (60Co, Chisostat, Chirana, CR) , (b) U-87 and NHDF cells were irradiated with doses 1, 2, and 4 Gy (D = 1 Gy/min). Cells were irradiated in RPMI 1640 medium (37 °C, normal atmosphere). Confocal microscopy of gammaH2AX and 53BP1 foci immunodetection was consequently performed.</p> <p><em>Fluorescent staining </em></p> <p>DNA double strand breaks (DSBs) were quantified in different periods of time post-irradiation (30 min, 8h and 24h post irradiation) by means of $\gamma$H2AX and 53BP1 foci immunodetection combined with confocal microscopy. For details see \cite{falk2007chromatin}.</p> <p><em>Confocal microscopy</em></p> <p>The microscopy of samples was performed at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic. Leica DM RXA microscope (equipped with DMSTC motorized stage, Piezzo z-movement, MicroMax CCD camera, CSU-10 confocal unit and 488, 562, and 714 nm laser diodes with AOTF) was used for acquiring detailed cell images (100× oil immersion Plan Fluotar lens, NA 1.3). Total 50 Z slices was captured with Z step size 0.3 μm.</p> <p><strong>File description</strong></p> <p>all files are compressed hyperstack tiffs (50 Z slices and 3 fluorescent channels, XYCZ order), 100x magnification</p> <ul> <li>Confocal_NHDF_cells_IR_1-4Gy.zip: Human fibroblast NHDF cell line, exposed to gamma irradiation doses 1, 2, and 4 Gy, 64 TIFFs</li> <li>Confocal_U-87_cells_IR_1-4Gy.zip: Human glioblastoma U-87 cell line, exposed to gamma irradiation doses 1, 2, and 4 Gy, 108 TIFFs</li> </ul>
Confocal microscopy of gH2AX and 53BP1 DNA repair foci of cells exposed to gamma-irradiation, pt. 1/3
<p><strong>Summary</strong></p> <p>Dataset of confocal microscopy data of cells exposed to gamma-irradiation and immunostained with gH2AX and 53BP1.</p> <ul> <li><strong>Part 1/3 (this dataset): </strong>Head and neck primocultures immunostained with gH2AX/53BP1, Testing dataset. DOI <a href="https://doi.org/10.5281/zenodo.2564980">10.5281/zenodo.2564980</a></li> <li><strong>Part 2/3</strong>: U-87 and NHDF Cells exposed to 1-4 Gy confocal microscopy data of head and neck tumor primocultures immunostained with gH2AX/53BP1. Testing dataset. DOI <a href="https://doi.org/10.5281/zenodo.2572450">10.5281/zenodo.2572450</a>. 174 TIFFs</li> <li><strong>Part 3/3</strong>: training dataset for nuclei and gH2AX foci with ground truth annotation masks, head and neck primocultures (head and neck non-tumor and spinocellular tumor cells). DOI <a href="https://doi.org/10.5281/zenodo.2576241">10.5281/zenodo.2576241</a>. 150 TIFFs for nuclei learning incl 150 png nuclei masks + 99 TIFFs for DNA repair foci training</li> <li><strong>Code</strong>: the code is available at <a href="https://github.com/tomasvicar/LearnFoci">https://github.com/tomasvicar/LearnFoci</a></li> </ul> <p><strong>Materials and methods</strong></p> <p><em>Dataset</em></p> <p>Following cells were used: (1) patient primocultures of patients with spinocellular head and neck tumors (histologically verified tumor and tumor-adjacent tissues), isolation protocol descibed in <em>Svobodova et al, 2017</em>, (2) primary glioblastoma cell line U-87 (ATCC HTB-14, LGC Standards, United Kingdom), (3) primary normal human dermal fibroblasts (NHDF, PromoCell, Hedelberg, Germany) isolated from the dermis of juvenile foreskin or adult skin.<br> The study was conducted in accord with the Helsinki Declaration of 1964 and all subsequent revisions thereof. It was approved by the ethical committee of St. Anne’s Faculty Hospital, Brno. Primoculture cells were cultivated in Pen/Strep antibiotic solution (PAA Laboratories GmbH, Austria) in RPMI-1640 medium with 10% FBS (Biochrom, USA) at 37 °C and 50% CO2 in humidified atmosphere up to 50% confluence. U-87 were grown in Eagle's MEM with 10% FBS.</p> <p><em>Gamma irradiation</em></p> <p>The cells were irradiated at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic in a following schemes: (a) patient-derived primoculture was irradiated with a single dose of 2 Gy (D = 1 Gy/min) of gamma-rays (60Co, Chisostat, Chirana, CR) , (b) U-87 and NHDF cells were irradiated with doses 1, 2, and 4 Gy (D = 1 Gy/min). Cells were irradiated in RPMI 1640 medium (37 °C, normal atmosphere). Confocal microscopy of gammaH2AX and 53BP1 foci immunodetection was consequently performed.</p> <p><em>Fluorescent staining </em></p> <p>DNA double strand breaks (DSBs) were quantified in different periods of time post-irradiation (30 min, 8h and 24h post irradiation) by means of $\gamma$H2AX and 53BP1 foci immunodetection combined with confocal microscopy. For details see \cite{falk2007chromatin}.</p> <p><em>Confocal microscopy</em></p> <p>The microscopy of samples was performed at the Institute of Biophysics, Czech Academy of Sciences, Brno, Czech Republic. Leica DM RXA microscope (equipped with DMSTC motorized stage, Piezzo z-movement, MicroMax CCD camera, CSU-10 confocal unit and 488, 562, and 714 nm laser diodes with AOTF) was used for acquiring detailed cell images (100× oil immersion Plan Fluotar lens, NA 1.3). Total 50 Z slices was captured with Z step size 0.3 μm.</p> <p><strong>File description</strong></p> <p>all files are compressed hyperstack tiffs (50 Z slices and 3 fluorescent channels, XYCZ order), 100x magnification</p> <ul> <li>Confocal_HN_tumor_primocultures.zip: dataset of patient-derived primocultures (gamma-irradiated with 2 Gy and controls), for description see file below, 100 FOVs,</li> <li>Confocal_HN_tumor_primocultures_description.xlsx: description of confocal dataset files and patient tumor characteristics</li> <li>Confocal_HN_tumor_primocultures_train_nuclei.zip: annotated training subset 1 of dataset of patient-derived primocultures (gamma-irradiated with 2 Gy and controls) used for nuclei segmentation training, 150 FOVs, includes TIFF and manually annotated binary mask for nuclei (data_###.tif and respective mask_###.png)</li> <li>Confocal_HN_tumor_primocultures_train_nuclei_description.xlsx: description of above-mentioned files (tissue type, TNM stage, grade, time post irradiation)</li> </ul>
Low Frequency Radio Pulses Produced by Terrestrial Gamma-ray Flashes
<p>The data supports the manuscript entitled “Low Frequency Radio Pulses Produced by Terrestrial Gamma-ray Flashes<br> ” that is under review in GRL. These files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.</p>
Crystal structure of olive flounder [Paralichthys olivaceus] interferon gamma at 2.3 Angstrom resolution - diffraction data
<p>Diffraction images, Bessy II (Berlin), MX 14.1, 12.5.2017, PDB ID 6F1E</p>
Data for "Source Altitude of Energetic In-cloud Pulses Inside Thunderstorms and Implication for the Intrinsic Brightness of Terrestrial Gamma-Ray Flashes"
<p>The spreadsheet contains detailed information for the EIP events analyzed in this work, including the time, location, peak current, distance to sensors, estimated source height, height error, etc. </p> <p>The compressed file in this dataset contains the low-frequency waveforms of EIPs measured by Duke and FIT sensors. The modeled skywaves are shown in the figures. The cross-correlation coefficient between the measured skywaves and the modeled waveforms of each event are also presented. </p> <p> </p>
Inlists for "Rethinking Thorne-Żytkow Object Formation: The Fate of X-ray Binary LMC X-4 and Implications for Ultra-long Gamma-ray Bursts"
<div> <div> <div> <p>We use the MESA Isochrones and Stellar Tracks (MIST) package (Dotter 2016; Choi et al. 2016) with MESA v7503 (Paxton et al. 2011, 2013, 2015) and mesasdk x86_64-linux-20141212 revision 245. </p> </div> </div> </div>
Energetic Compact Strokes as the Major Source of Downward Terrestrial Gamma-ray Flashes in Winter Thunderstorms
<p>ECS-TGF_10km.csv contains a list of ECSs in Figure 1. Raw FALMA waveforms of these ECSs are in FALMA_wave.zip. For each ECS, waveforms of one or two seconds recorded at one FALMA site are provided. Some waveform data contain a PPS pulse. See PPS_pulse.txt in FALMA_wave.zip for more details. The format of waveform data is described at https://tingwu.info/pylab/lab05.html.</p> <p>ECS_100km.csv contains a list of ECSs in Figure 5.</p>
Quantification of gamma radiation exposure and radon/thoron exhalation rates in representative building materials in Ireland
<p>Data, models, mapsa nd publication produced during the postdoctoral fellowship: EPSPD/2022/141 </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.