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.
1,041
datasets available to search
ShareScore release 0.7.1
Dataset results
1,041 results for “Spectroscopy”
Dataset related to the publication "Measurement and assignment of J = 5 to 9 rotational energy levels in the 9070-9370 cm-1 range of methane using optical frequency comb double-resonance spectroscopy"
<p>The files contain the normalized interleaved double-resonance spectra recorded with four different pump transitions, indicated in the file name. The first column is the wavenumber, the second column is the transmission intensity.</p>
Dataset: Laser spectroscopy of fermium isotopes probing trends in nuclear charge radii
<p>In this dataset, a collection of data supporting the findings in the publication J. Warbinek et al. (2024) is presented along with python scripts for the analysis of the data. In the README.txt file, mor einformation on the analysis scripts are provided. </p> <p> </p> <p>The data was collected as parts of on-line expeirmental campaigns between 2019 and 2022 at GSI Helmholtzzentrum für Schwerionenforschung GmbH. The experiments used the RADRIS laser spectroscopy setup coupled to the SHIP separator.</p> <p>More data was collected at Johannes Gutenberg-Universität Mainz between 2019 and 2023 using the RISIKO mass separator. </p> <p> </p> <p> </p>
Dataset: Use of bioresorbable fibers for short-wave infrared spectroscopy using time-domain diffuse optics
Open the record for dataset details and reuse information.
Collinear laser spectroscopy data of singly charged natural uranium isotopes
<div> <div>This dataset contain the raw data produced in an offline experiment at the IGISOL facility, University of Jyväskylä</div> <div>Accelerator laboratory JYFL, using the Collinear Laser Spectroscopy (CLS) line to measure a set of ten ionic transitions in 234,235,238U.</div> </div>
Raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using 1H HR MAS NMR Spectroscopy "
<p>The folder contains raw data used in the manuscript titled "Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using <sup>1</sup>H HR MAS NMR Spectroscopy ".</p> <p> </p> <p> Raw data measured on Bruker Avance III 400 MHz NMR spectrometer:</p> <p>- 1D <sup>1</sup>H HR MAS NMR spectra (path: <em>Patient_code – Sample_code/500/fid</em>)</p> <p>- 2D <sup>1</sup>H-<sup>1</sup>H J-resolved HR MAS NMR spectra (path: <em>Patient_code – Sample_code/600/ser</em>).</p> <p> </p> <p>Metadata is included in <em>Metadata.xlsx</em> file.</p> <p>Each sample is described with the following parameters:</p> <p>- patient code (after anonymization),</p> <p>- sample code (the label <em>l</em> or <em>r</em> denotes the <em>left</em> or <em>right</em> ovary in patients from whom samples were obtained bilaterally),</p> <p>- sample weight,</p> <p>- clinic-pathological parameters (such as: age, BMI, menopausal status, diagnosis, FIGO stage),</p> <p>- percentage tissue content obtained from histopathological analysis after HR MAS NMR studies (cancer cells, epithelial compartment within benign tumors, necrosis, inflammation, fibrosis, calcification, normal ovary, vessels, fatty tissue).</p> <p> </p> <p>Some samples were considered representative of particular tissue components:</p> <p>- cancer (HGSOC) compartment,</p> <p>- fibrotic stroma within malignant (HGSOC) tumors,</p> <p>- fibrotic stroma within benign tumors,</p> <p>- normal ovary tissue (the samples collected from the control group),</p> <p>- normal ovary tissue (the samples collected from the cancer patients),</p> <p>- necrosis,</p> <p>- non-tumoral fibrous tissue / fibrous tumor capsule (obtained from the patients with benign non-neoplastic lesions)</p> <p>- corpus albicans</p> <p>The assignment of the samples to these categories is indicated in the column <em>Tissue components.</em></p> <p><em> </em></p> <p>The samples classified as outliers in PCA model 1 are indicated in the column <em>Outliers</em>.</p> <p>The samples included in multivariate models are indicted in the columns: <em>PCA 2, PCA 3, PCA 4, PCA 5, PCA 5a, PCA 6, OPLS-DA 1, OPLS-DA 2, OPLS-DA 3, OPLS-DA 4, OPLS-DA 5, OPLS-DA 6 and OPLSR.</em></p> <p><em> </em></p>
Dataset of "Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts using Raman and UV-Vis Modulation Excitation Spectroscopy"
<p>This zip file contains the dataset of the publication "Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts using Raman and UV-Vis Modulation Excitation Spectroscopy" (<span><a href="https://doi.org/10.1021/acs.jpcc.4c05826">https://doi.org/10.1021/acs.jpcc.4c05826</a></span>). The authors are Henrik Hoyer and Christan Hess*. The zip file includes the data for figures 2 and 3 in the manuscript and the data for figures S1-S12 in the SI. For more detailed information on the dataset, please refer to the description file. </p> <p>*email: christian.hess@tu-darmstadt.de</p>
Dataset for "Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, and MM May, Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy, Batteries & Supercaps (2024). DOI:<span>10.1002/batt.202400610</span></p> <p>The data set is organized according to the publication's figures. </p>
Data for: Semiclassical approach to photophysics beyond Kasha's rule and vibronic spectroscopy beyond the Condon approximation. The case of azulene
<p>Data for publication: A. Prlj, T. Begušić, Z. T. Zhang, G. C. Fish, M. Wehrle, T. Zimmermann, S. Choi, J. Roulet, J.-E. Moser, and J. Vaníček, <em>J. Chem. Theory Comput.</em> <strong>16</strong> (4), 2617–2626 (2020).</p> <p>Contains simulated linear absorption and emission spectra of azulene, excited-state and ground-state ab initio trajectories and single-point calculations, and results of nonadiabatic mixed quantum-classical simulations.</p>
Insights from Transient Absorption Spectroscopy into Electron Dynamics Along the Ga-Gradient in Cu(In,Ga)Se2 Solar Cells: Data
<p>Excel file with data to all figures published in our article found at https://doi.org/10.1002/aenm.202003446 (Advanced Energy Materials), Synopsis user manual, Matlab code to analyse and fit data</p> <p> </p>
Niobium speciation in minerals revealed by L2,3-edges XANES spectroscopy
<p>This metadata file gathers crystal-chemical, crystallographic and spectroscopic raw data supporting the manuscript entitled “Niobium speciation in minerals revealed by L<sub>2,3</sub>-edges XANES spectroscopy“ submitted to <em>American Mineralogist</em>. </p> <p><strong>EMP_natural_references:</strong> spreadsheet compiling crystal-chemical data of the Nb geological references (columbite, fluorcalciopyrochlore, hydropyrochlore, latrappite, niocalite) obtained from electron microprobe analysis (EMP_crystal_chemistry_references.xls). </p> <p><em>Analyses were conducted on a CAMECA SX Five electron at the CAMPARIS facility (Sorbonne Universite, Paris). Two to seven spots were probed for each sample at 15 kV and 40 nA for the major elements and at 15 kV and 299 nA for minor and : trace elements. WDS analyses were performed using the following standards: albite for Na, diopside for Mg, Si and Ca, orthoclase for Al and K, MnTiO<sub>3</sub> for Mn and Ti, hematite for Fe, BaSO<sub>4</sub> for Ba; topaze for F, LiNbO<sub>3</sub> for Nb, metallic Ta for Ta, SrSi for Sr, zircon for Zr, galena for Pb, monazite for Th, uraninite for U, and REE-bearing silicates for for Y, La, Ce, Nd.</em></p> <p><strong>XANES_spectra: </strong>raw X-ray absorption data files (.dat). There are either one or two files per sample (_01/_02). Amounts of Nb in Ti oxide samples are mentionned in file titles (Nb1pc/Nb5pc/Nb10pc). </p> <p><em>Niobium L<sub>2,3-</sub>edges XANES spectra were recorded on the LUCIA beamline of the SOLEIL synchrotron radiation facility (Gif-sur-Yvette, France) operating with a storage ring current of 450 mA and energy of 2.75 GeV. A double crystal Si(111) monochromator crystal was used with an energy resolution of 0.25 eV at 2400 eV and calibrated at this energy using Nb<sub>2</sub>O<sub>5</sub>.</em></p> <p><strong>XRD_geological_references:</strong> spreadsheet compiling crystal-cell parameters obtained from the reduction of single-crystal XRD data (geological_samples_crystal_cell_data.xls). The number of reflections indexed and teta range of measurement are specified.</p> <p><em>An Agilent Diffraction Xcalibur-S diffractometer equipped with a Sapphire CCD-detector with Mo K-α<sub>1</sub> radiation (λ = 0.71073 Å, graphite monochromator) was used at room temperature. Data reduction, cell refinement and space group determination were performed using CrysAlisPro software. </em></p> <p><strong>XRD_synthetic_samples:</strong> XRD data obtained for the synthetic samples (.csv/.xrdml). Amounts of Nb in Ti oxide samples are mentionned in file titles (Nb1pc/Nb5pc/Nb10pc). </p> <p><em>X-ray diffraction was performed with a PANALYTICAL X’pert Pro MPD diffractometer. Measurements were carried out in Bragg-Brentano geometry using a Co K-α anode in order to minimize the X-ray absorption of Fe in iron oxide synthetic compounds. Data were recorded with an X’Celerator detector between 3 ° 2θ and 90 ° 2θ with 0.017 ° steps. Incident beam mask was fixed at 20 mm and soller slits at 0.04 rad.</em></p>
Quantitative Ultraviolet Spectroscopy for Magnetic Massive Stars
<p>Ultraviolet (UV) spectroscopy represents a particularly useful observational diagnostic of the dense, radiatively driven winds that are characteristic of OB stars, as UV resonance lines are sensitive to both the density and velocity structure of these outflows. Coupled with appropriate models, it can yield quantitative estimates of the wind parameters of these stars. However, given the usual assumptions that subtend such models, any break in spherical symmetry -- such as in the case of magnetized winds -- will lead to unreliable conclusions. To address this issue in the context of magnetic massive stars, we join parametrized prescriptions for the structure of their magnetospheres to a simplified radiative transfer scheme to generate synthetic line profiles. We compare our results to more realistic techniques (using full magnetohydrodynamic simulations and/or more detailed radiative transfer) and generally find good agreement. As a result, we develop a grid of models that paired with observations can be used to derive quantitative constraints on the wind and magnetic parameters of these stars in a computationally tractable way. This will prove invaluable in interpreting the large quantity of UV spectroscopic data that will be obtained by upcoming projects, such as the ULLYSES project.</p>
2D-Raman-THz Spectroscopy with Single-Shot THz Detection
<p>We present a 2D-Raman-THz setup with multichannel (single-shot) THz detection, utilizing two crossed echelons, in order to reduce the acquisition time of typical 2D-Raman-THz experiments from days to a few hours. This speed-up is obtained in combination with a high repetition rate (100 kHz) Yb-based femtosecond laser system and a correspondingly fast array detector. The wavelength of the Yb-laser (1030 nm) is advantageous, since it assures almost perfect phase matching in GaP for THz generation and detection, and since dispersion in the transmissive echelons is minimal. 2D-Raman-THz test measurements on liquid bromoform (CHBr3) are reported. An enhancement of ∼5.8 times in signal-to-noise ratio is obtained for single-shot detection when comparing to conventional step scanning measurements in the THz time-domain, corresponding to speed up of acquisition time of 34.</p>
mDRONES4RIVERS stationary field spectroscopy
<p>Zip - Folders containing processed stationary field spectroscopy measurementes. Time series were collected with solar powered long-term installations (LTI) using the RoX field spectrometer within the frame of the mDRONES4RIVERS project in the years 2019, 2020 and 2021 respectively. Measurement were recorded at the southern tip of the island Nonnenwerth in 2019 and 2020, over a side arm of the Rhine in Emmericher Ward 2019, 2020, 2021 (as Emmerich I) and in a ditch at the side arm in Emmericher Ward 2020 and 2021 (as Emmerich II) in Germany. LTI Nonnenwerth was investigating dewberry (Rubus caesius), LTI Emmerich I was investigating sediment dynamics and mixed pioneering vegetation and LTI Emmerich II was investigating mainly mixed pioneering vegetation.</p> <p>The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view. Zip repositories contain folders named according to LTI place and year of recording. They include human radable .csv files for raw RoX data, calibrated radiance and reflectance in subfolders named after date of recording, a folder with time-lapse photographs of the footprint (only for Emmerich I and Emmerich II) and an ALL_INDEX file, each. For reflectance and radiance files, the first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m<sup>-2</sup> sr<sup>-1</sup> nm<sup>-1</sup>) or reflectance (unitless) values. The ALL_INDEX file contains meta data, computed vegetation indices(VI) and quality flags for the time series.</p>
mDRONES4RIVERS mobile field spectroscopy
<p>Zip - Folders containing processed mobile field spectroscopy measurementes, collected each during the campaigns within the frame of the mDRONES4RIVERS project in the years 2019, 2020 and 2021 respectively. Measurement were conducted in river-shore areas along the Rhine in Emmericher Ward, Nonnenwerth, Niederwerth, Kuehkopf and Laubenheim in Germany, to accompany airborne, multispectral mapping and to collect representative hyperspectral signatures of vegetation and sediments. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view, optics were stabilized with and active gimbal.</p> <p>The data is present as human-readable .csv files and structured for each year in folders named with date and place of recording. Raw data, calibrated reflectance, reflected radiance, incoming radiance from measurements with the RoX field-spectrometer and derived vegetation indices (VI) are in subfolder /JB-112-GX/. Associated photos for each recorded footprint are collected in the /fotos/ folder. The derived level-2 data products are placed in /mD4R_L3-products/ and contains an overview table with unique ID, summarized meta-data including notes from the field protocol, associted photo-ID, GPS coordinates in WGS-84 and in ETRS 89 - 32N, classification information in 4 levels of differentiation and VI for each recorded footprint. In addition is the deconvolved multispectral reflectance response for the MicaSense Red Edge and Red Edge Blue, as well as the Gyrocopter costum sensor PanX 3.0 with all available filters reported with mean and standard deviation for each footprint in an individual file per sensor. Furthermore, this folder contains the mean and standard deviation of the hyperspectral reflectance as recorded by the RoX for each footprint. Primary key for all tables is the collumn IDMD4R, which contains a unique identifier for each footprint, composed out of the short for place of recording, year of recording, season (1 - winter, 2 - spring, 3- summer, 4 - fall), date, work group and running index. In addition, the protocol.txt file contains the raw notes taken during the field measurements. The same information is also present in the notes column of the overview table in the products folder.</p> <p>Folder structure:</p> <ul> <li>Year of acquisition <ul> <li>date and place of recording <ul> <li>/JB-112-GX/ - raw RoX data, calibrated radiance and reflectance and ALL_INDEX file. The first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m<sup>-2</sup> sr<sup>-1</sup> nm<sup>-1</sup>) or reflectance (unitless) values.</li> <li>/fotos/ - associated photograf of each recorded foodprint</li> <li>/mD4R_L3-products/ - mDRONES4RIVERS-specific, higher data products including an overview table with summarized meta-data information, multispectral and hyperspectral reflectance summarized for each recoreded foodprint.</li> </ul> </li> </ul> </li> </ul> <p>Example overview table header, containing meta-data:</p> <table> <tbody> <tr> <td> <table> <tbody> <tr> <td>IDMD4R</td> <td>Num</td> <td>Place</td> <td>Year</td> <td>Season</td> <td>Theme</td> <td>lvl1</td> <td>lvl2</td> <td>lvl3</td> <td>lvl4</td> <td>lvl5</td> <td>lvlx</td> <td>BfG_Notes</td> <td>Notes</td> <td>Foto_ID</td> <td>start_time</td> <td>end_time</td> <td>Footprint_m2</td> <td>GPS_lat_WGS84</td> <td>GPS_lon_WGS84</td> <td>GPS_lat_ETRS89</td> <td>GPS_lon_ETRS89</td> <td>mean_E_stability.full....</td> <td>mean_PAR.inc..W.m.2.</td> <td>mean_PAR.ref..W.m.2.</td> <td>mean_APAR..umol.m.2.s.1.</td> <td>mean_NDVI</td> <td>mean_PRI</td> <td>mean_MTCI</td> <td>mean_SR</td> <td>mean_EVI</td> <td>mean_REP</td> <td>mean_TCARI</td> <td>mean_REDCl</td> <td>mean_mCRI</td> <td>mean_RDVI</td> <td>mean_OSAVI</td> <td>mean_MSAVI</td> <td>mean_TVI</td> <td>mean_CCI</td> </tr> <tr> <td>EW_2021_3_210908_JB_001</td> <td>1</td> <td>EW</td> <td>2021</td> <td>3</td> <td>HM</td> <td>Boden</td> <td>unverbaut</td> <td>mineralisch</td> <td>Kies</td> <td>Grobkies_Steine_Muscheln</td> <td>nass</td> <td> </td> <td>1 Sediment - nass 9</td> <td>IMG_1665.JPG</td> <td>##########</td> <td>##########</td> <td>0.1</td> <td>51.8348</td> <td>6.19</td> <td>5746398</td> <td>306400</td> <td>0.3664672</td> <td>264.5846</td> <td>25.20264</td> <td>106.4731</td> <td>0.02714115</td> <td>-0.0875076</td> <td>-0.00392978</td> <td>1.001599</td> <td>0.01267476</td> <td>29397.69</td> <td>0.01333844</td> <td>-0.01631207</td> <td>-3.420476</td> <td>0.01293765</td> <td>0.01847472</td> <td>0.01008311</td> <td>0.1409599</td> <td>-0.1199355</td> </tr> </tbody> </table> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table>
Data set for "The interfacial structure of InP(100) in contact with HCl and H2SO4 studied by reflection anisotropy spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, M. Guidat, J. Kim, and MM May, <em>The interfacial structure of InP(100) in contact with HCl and H<sub>2</sub>SO<sub>4</sub> studied by reflection anisotropy spectroscopy</em>, RSC Advances 12 (2022), 32756-32764. <a href="https://doi.org/10.1039/D2RA05159A">DOI:10.1039/D2RA05159A</a></p> <p>The data set is organised along the figures of the publication. '.ers', '.erc', and '.ert' are spectra, colour plots, and transients, respectively, in the native format of Laytec's EpiRAS. '.par' files are in the data format from the Princeton Applied Research VersaSTAT 3F potentiostat. Spectra files containing the name 'Si100' are from Si(100) wafers with native oxide, used for zero-line correction as described in the paper.</p>
A complete picture of cation dynamics in hybrid perovskite materials from solid-state NMR spectroscopy
<p> Raw, collated NMR and XRD data for the article "A Complete Picture of Cation Dynamics in Hybrid Perovskite Materials from Solid-State NMR Spectroscopy". For further details see the readme.txt file.</p>
Data and Supplemental Data from Radwin et al. "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy"
<p>These data are part of Radwin et al., "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy", submitted to IEEE TGRS in 2022. This work was supported in part by the National Aeronautics and Space Administration through the Solar System Workings program grant 80NSSC19K0552, and by the National Science Foundation grants from the Sedimentary Geology and Paleobiology Program (EAR-0719822, EAR-0719838 and EAR-0719892).</p> <p>Included in this dataset are ten separate downloadable files:</p> <p>1) RADWIN_2022_ACID_SALINE_SPECTRA.xlsx is an Excel spreadsheet containing all of the continuum-removed spectra utilized and an appendix organizing the data.</p> <p>2) RADWIN_2022_ACID_SALINE_POLYFIT_IRON_SPECTRA.xlsx is an Excel spreadsheet containing all of the polynomial fit continuum-removed iron spectra between ~800-1200 nm.</p> <p>3) RADWIN_2022_HYMAP_DATA.rar is a folder containing Envi files (with associated image metadata, such as bad-band-list) for the HyMap imagery of Lake Brown and the Twin Lakes region.</p> <p>4) RADWIN_2022_WA_SEDS_XRF_DATA.xlsx contains supplemental pXRF data.</p> <p>5) Radwin_Supplemental_XRD_LA1_Data.xlsx contains supplemental XRD data from the Lake Aerodrome LA2 core dataset (LA1 on filename is a typo).</p> <p>6) SAM Classification Maps.zip contains the classification map files.</p> <p>7) SAM Rule Images & Stats.zip contains rule images and class statistics from the SAM classification maps.</p> <p>8) SAM_Processing_Log.xlsx contains the specifications used for the SAM classification maps when using ENVI.</p> <p>9) SAM_Training_Data_Shapefiles.zip contains shapefiles that designate the training class data for the 7 classification map classes.</p> <p>10) XRF_Spectra_Matched_Sample_Photos_For_Reference.docx contains photos of the samples that were analyzed with pXRF.</p> <p> </p>
Atomic-scale environment of niobium in minerals as revealed by X-ray absorption spectroscopy at the Nb K-edge
<p>This data set provides the raw EXAFS and XRD data of the manuscript '<strong>Atomic-scale </strong><strong>environment of niobium in minerals as revealed b</strong><strong>y </strong><strong>X-ray absorption spectroscop</strong><strong>y at the Nb </strong><strong>K</strong><strong>-edge'</strong> submitted to European Journal of Mineralogy.</p> <p>- EXAFS data files were converted into .txt for more accessibility. <em>Pcl</em> is the abbreviation for <em>pyrochlore. </em>The files are accoridngly labelled.</p> <p>- XRD data files for synthetic Nb-doped compounds start with 'XRD_...'.</p> <p>- The refined crystal structure of hydropyrochlore is 'hydropcl_01.cif' file.</p> <p> </p> <p> </p>
Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays
<p>Dear reader,</p> <p> </p> <p>Please find attached the input files (.xml) and their corresponding outputs for the Exciting calculations of the imaginary component of the dielectric tensor ("XAS".dat) for: InP, GaP, red P and InPO4 which have been used in our publication:"Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays". </p>
Accompanying Data for the Manuscript "There's more to life than O2: Simulating the detectability of a range of molecules for ground-based high-resolution spectroscopy of transiting terrestrial exoplanets"
<p>This file contains results for all cases considered in the manuscript titled "There's more to life than O2: Simulating the detectability of a range of molecules for ground-based high-resolution spectroscopy of transiting terrestrial exoplanets"</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.