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266 results for “Catalyst”
Dataset of "Balancing Activity and Stability through Compositional Engineering of Ternary PtNi–Au Alloy ORR Catalysts"
<p>A systematic comparative analysis of the activity-stability relationship for compositionally tuned PtNi-Au model layers, prepared by magnetron co-sputtering, was conducted using a diverse range of complementary characterization techniques and electrochemistry, supported by density functional theory calculations. Our study reveals that progressively increasing the Au concentration in the Pt50Ni50 alloy from 3 to 15 at.% leads to opposing catalyst activity and stability trends. Specifically, we observe a decrease in ORR activity accompanied by an increase in catalyst stability, manifested in the suppression of both Pt and Ni dissolution. Despite the reduced activity compared to PtNi, the PtNi–Au alloy with 15 at.% Au still exhibits nearly three times the activity of monometallic Pt. It also demonstrates a significantly improved dissolution stability relative to the PtNi alloy and even monometallic Pt. These findings provide valuable insights into the intricate balance between activity and stability in multimetallic ORR catalysts, paving the way for the design of cost-effective and durable materials for PEMFCs.</p>
Dataset of "Activity-stability relationship in magnetron co-sputtered bimetallic catalysts for proton exchange membrane fuel cells"
<p>In the present study, magnetron sputtered PtxM100-x (M = Co, Cu, Y; x = 25, 50, 75 and 100) bimetallic alloys were investigated as PEMFC cathodes. Accurate composition control enabled a systematic study of the correlation between alloy composition, activity, and stability. The catalysts underwent thorough characterization, employing a diverse portfolio of characterization techniques such as scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy and cyclic voltammetry. The activity of all investigated alloys was tested directly in a fuel cell device, while stability was assessed through potentiodynamic cycling in a half-cell. <br>The activity-stability index, considering experimental results for both activity and stability, was calculated and compared for all investigated catalysts. All alloys exhibited a volcano-type trend in activity-stability index as a function of the concentration of alloying element with peaks observed at Pt50Co50, Pt50Cu50 and Pt75Y25 for respective alloys, surpassing that of monometallic platinum. Overall, Pt50Co50 emerged as a catalyst with the highest activity-stability ratio.</p>
Dataset of "Impact of Carbon Corrosion and Denitrogenation on the Deactivation of Fe-N-C Catalysts in Alkaline Media"
<p>In this work, we use a gas diffusion electrode half-cell coupled with inductively coupled plasma mass spectrometry (GDE-ICP-MS) to quantify the Fe dissolution rates in the potential range between 0.93 and 1.5 VRHE. It is shown that Fe dissolution accelerates with increased anodic potential and temperature while it is independent on the presence/absence of O2. The onset potential of Fe dissolution at room temperature agrees with the reported onset potentials of carbon corrosion and denitrogenation, C and N being oxidized to gaseous COx and NOx species, respectively. This correlation supports that the electrochemical oxidation of the N-C matrix triggers the observed catalyst demetallation in these conditions. Using a set of ex situ physicochemical characterization techniques, including spectroscopy and microscopy, the various degrees of degradation under three sets of experimental conditions of interest (O2-RT, O2-HT, and Ar-HT, where RT = 22℃ and HT = 62℃) are rationalized. Combining the GDE-ICP-MS technique and post-mortem analyses, this work provides novel insights into the degradation pathways of various Fe, N, and C species during start-stop events, which may inspire the next generation of durable Fe-N-C catalysts for anion exchange membrane fuel cells.</p>
Dataset of "Strain-Engineered Ir Shell Enhances Activity and Stability of Ir-Ru Catalysts for Water Electrolysis: An Operando Wide-Angle X-Ray Scattering Study"
<p>Ir-Ru alloys with high Ru content serve as stable and highly active catalysts for the oxygen evolution reaction (OER) in Proton Exchange Membrane Water Electrolyzers (PEM-WEs), enabling efficient operation with remarkably low Ir loadings (150 µg cm-²). Despite this, the mechanisms behind their enhanced stability remain unclear. In this study, we employ operando Wide-Angle X-ray Scattering (WAXS) and complementary ex-situ techniques to investigate the structural evolution of these magnetron-sputtered alloys within a PEM-WE cell. Our results reveal that, upon potential application, Ru is leached from the surface, leading to the formation of a bimetallic Ir-Ru@IrOx core-shell structure. The Ir shell, significantly strained by the underlying Ir-Ru core, exhibits substantially higher catalytic activity than pure Ir. Notably, the Ir-Ru 25:75 catalyst shows superior stability over Ir-Ru 50:50, despite its higher Ru content, due to a more robust Ir shell that protects subsurface Ir and Ru from oxidation and dissolution. This study not only clarifies the performance-enhancing mechanisms of Ir-Ru catalysts but also suggests that other, more economical materials such as Co, Os, or Ti could serve as effective cores in Ir-M systems, offering a pathway to more cost-effective catalysts for PEM-WE applications.</p>
Comparative proteomics analysis of whole-cell catalyst of K. rhizophila strain SA117 catabolism of SMX
<p><span>Sulfamethoxazole (SMX), an oral sulfonamide antibiotic, presents significant environmental challenges due to its persistence and potential role in promoting antibiotic resistance. The bacterial strain <em><span>Kocuria rhizophila</span></em> SA117, isolated from polluted soils, has demonstrated a remarkable capability to metabolize SMX. Proteomic analysis revealed the presence of various enzymes and metabolic pathways that may contribute to SMX degradation, including those involved in para-aminobenzoate condensation and protocatechuate metabolism. Notably, the genome of SA117 harbors eight monooxygenase genes, including those related to antibiotic biosynthesis and flavin family monooxygenases. Additionally, several cytochrome c-encoding genes, known for their role in respiratory versatility and potential application in bioremediation, were identified. Genes associated with sulfur metabolism, including an iron-sulfur cluster gene cluster (SufB, C, D, R, E) linked to oxidative stress response, were also found. A comparative proteomic study under SMX exposure highlighted significant upregulation of stress-related proteins. These findings underscore the metabolic adaptability of <em><span>Kocuria rhizophila</span></em> SA117 and its potential application in the bioremediation of SMX-contaminated environments.</span></p>
Assessing the environmental benefit of palladium-based single-atom heterogeneous catalysts for Sonogashira coupling
<p>Dataset supporting the article "Assessing the environmental benefit of palladium-based single-atom heterogeneous catalysts for Sonogashira coupling" by D. Faust Akl, D. Poier, S. C. D’Angelo, T. P. Araújo, V. Tulus, O. V. Safonova, S. Mitchell, R. Marti, G. Guillén-Gosálbez, and J. Pérez-Ramírez<em>.</em></p>
Perhydrobenzyltoluene dehydrogenation using monometallic M/Al2O3 and bimetallic Pt-M/Al2O3 catalysts (M = Co, Ni): Effect of metal content.
<p>Hydrogen production from renewable sources emerges as a key strategy for decarbonizing the energy system. However, the advancement of the hydrogen-based energy economy is delayed by limitations in storage and transportation systems. Over the past decade, H<sub>2 </sub>chemical storage, particularly systems based on liquid organic hydrogen carriers (LOHCs), have emerged as a promising solution, employing reversible catalytic reactions for hydrogen storage within organic compounds [1-3].</p> <p>Platinum-Group-Metal (PGM)-based catalysts have been identified as optimal for LOHC technology [4-7]. However, their high cost and environmental impact set significant barriers for large scale applications. To mitigate this challenge, we investigated the perhydrobenzyltoluene dehydrogenation process to benzyltoluene, focusing on minimizing PGM usage.</p> <p>In this work, we synthesized bimetallic catalysts (Pt-M/Al<sub>2</sub>O<sub>3</sub>) with low Pt-content (0.5 wt.%) and varying second metal loads (M = Co, Ni). Catalysts were prepared using the incipient wetness impregnation method, wincorporating Co and Ni first, followed by a second impregnation of Pt, as described elsewhere [6]. Additionally, monometallic Co/Al<sub>2</sub>O<sub>3</sub> and Ni/Al<sub>2</sub>O<sub>3</sub> catalysts were prepared for comparison. Dehydrogenation tests were conducted in a laboratory-scale batch reactor, with hydrogen release quantified using a flow indicator (Brooks SLA5800).</p> <p>The activity results, summarized in the following figure and attached as a dataset, reveal that monometallic Co/Al<sub>2</sub>O<sub>3</sub> and Ni/Al<sub>2</sub>O<sub>3</sub> exhibited poor dehydrogenation performance, with a Degree of Dehydrogenation (DoD) lower than 10%. Conversely, bimetallic catalysts, particularly those with reduced Ni and Co contents, demonstrated enhanced dehydrogenation activity, achieving optimal rates with a 0.5 wt.% metal load. Upon comparing the activity results, it was observed that Co exhibited greater activity than Ni when considering the same metal content. These findings highlight the superior dehydrogenation promotion capability of Co.</p> <p>In summary, this study underscores the potential of low-metal content and sustainable catalysts as initial steps toward optimizing metal content for LOHC technology. These findings offer promising possibilities for enhancing the efficiency and sustainability of hydrogen storage and release systems, crucial for realizing the full potential of hydrogen as a clean energy carrier.</p>
Catalyst Supraparticles: Tuning the Structure of Spray‐Dried Pt/SiO2 Supraparticles via Salt‐Based Colloidal Manipulation to Control their Catalytic Performance
<p>This data publication is based on the metadata and raw datasets underlying the manuscript: P. Groppe, J. Reichstein, S. Carl, C. Cuadrado Collados, B.-J. Niebuur, K. Zhang, B. Apeleo Zubiri, J. Libuda, T. Kraus, T. Retzer, M. Thommes, E. Spiecker, S. Wintzheimer, K. Mandel, Catalyst Supraparticles: Tuning the Structure of Spray-Dried Pt/SiO2 Supraparticles via Salt-Based Colloidal Manipulation to Control their Catalytic Performance. Small 2024, 2310813. https://doi.org/10.1002/smll.202310813</p> <p>A detailed description of the dataset is given in the attached "Raw data assignment.xlsx"</p>
Dataset for Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation
<p>This dataset complements the publication entitled "Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation" by Dario Faust Akl, Andrea Ruiz-Ferrando, Dr. Edvin Fako, Dr. Roland Hauert, Dr. Olga Safonova, Dr. Sharon Mitchell, Prof. Núria López, Prof. Javier Pérez-Ramírez. Please refer to the Readme.txt file for information about the file structure and content.<br> </p>
Short-Range Electronic Interactions between Vanadium and Molybdenum in Bimetallic SAPO‑5 Catalysts Revealed by Hyperfine Spectroscopy
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, Computer Simulation and Analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DTA</strong>, and <strong>m</strong>.</li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong> and <strong>DTA</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension<strong> m</strong></li> </ul> </li> <li>Are the data <strong>generated</strong> (e.g. by a machine) or <strong>collected</strong> (e.g. by means of a survey)? <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li>Q-band Pulsed-EPR spectroscopic measurements were generated by ELEXYS 580 EPR spectrophotometer equipped with ER5106QT cavity and ER035 M NMR gaussmeter produced by Bruker.</li> </ul> </li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP4_20230612_01_CW </strong>folder includes CW-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; simulations in m format.</li> <li>Files in <strong>PARACAT_WP4_20230612_02_Pulse</strong> folder includes Pulsed-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; files in m format were used to process the data.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>HYSCORE </strong>– HYperfine Sublevel CORrelation spectroscopy</li> <li>definitions of variables: <strong>Magnetic field, Temperature</strong></li> <li>units of measurement: <strong>Gauss (G), K</strong></li> </ul> </li> </ul>
Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction"
<p>Raw data for the article "Unwrap Them First: Operando Potential-induced Activation Is Required when Using PVP-Capped Ag Nanocubes as Catalysts of CO₂ Electroreduction'', published in Chimia 2021 75:163, doi: <a href="http://doi.org/10.2533/chimia.2021.163">10.2533/chimia.2021.163</a></p> <p>Folder names describe the type of data content.</p>
Unveiling the atomistic and electronic structure of NiII–NO adduct in a MOF-based catalyst by EPR spectroscopy and quantum chemical modelling
<p><strong>Description of the dataset: </strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, computer simulation and analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DAT</strong>, <strong>m</strong>, <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong>, <strong>DTA.</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension <strong>m</strong>.</li> <li>EPR spectra are exported as <strong>txt</strong> files in ASCII format.</li> </ul> <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP4_20230706_01_CW_Xband </strong>folder includes X-band CW-EPR spectroscopic measurements; original data are in DTA/DSC and txt formats.</li> <li>Files in <strong>PARACAT_WP4_20230706_02_HYSCORE </strong>and <strong>PARACAT_WP4_20230706_03_ENDOR </strong>folders include X-band HYSCORE and ENDOR data; original data are in DTA/DSC and txt formats.</li> <li>Files in <strong>PARACAT_WP4_20230706_ 04_MATLAB</strong> and<strong> PARACAT_WP4_20230706_ 05_Modelling</strong> folders include matlab and computer simulations/analyses of the EPR measurements; data are in m and txt formats.</li> <li>File <strong>PARACAT_WP4_20230706_ 06_Origin</strong> include origin plotted data</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>MFU– </strong>MFU-4l:NO<sub>2</sub> MOF material</li> <li>NiNO – NO adsorbed MFU-4l:NO<sub>2</sub> MOF</li> <li>@10K – measured at 10 K</li> <li>definitions of variables: <strong>Magnetic field, Temperature.</strong></li> <li>units of measurement: <strong>Gauss (G), K, degree (°), milliTesla (mT)</strong>.</li> </ul> </li> </ul>
Cr[CH(SiMe3)2]3/SiO2 catalysts for ethene polymerization: the correlation at amolecular level between the chromium loading and the microstructure of the produced polymer
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, Computer Simulation and Analysis</li> <li>Files are in <strong>txt</strong>, <strong>spc</strong>, <strong>par</strong>, <strong>opj</strong>, and <strong>m</strong> format</li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements in <strong>spc</strong> and <strong>par</strong> formats</li> <li>EPR spectroscopic simulation and analyses in<strong> m</strong> format</li> <li>UV-vis and IR spectroscopic measurements and analyses; and polymer analyses in <strong>opj</strong> format</li> </ul> </li> <li>Are the data <strong>generated</strong> (e.g. by a machine) or <strong>collected</strong> (e.g. by means of a survey)? <ul> <li>EPR spectroscopic measurements were generated by ELEXYS 580 EPR spectrophotometer equipped with SHQ cavity and ER035 M NMR gaussmeter produced by Bruker.</li> <li>FT-IR spectroscopic measurements were generated by Vertex70 produced by Bruker equipped with an MCT detector.</li> <li>UV-Vis-NIR spectroscopic measurements were generated by Cary5000 spectrophotometer produced by Varian equipped with a reflectance sphere.</li> </ul> </li> <li><strong>If t</strong> <ul> <li>Files in <strong>PARACAT_WP4_20201229_01_EPR</strong> folder includes EPR spectroscopic measurements and computer simulations/analyses, original data are in spc/par formats; files in m format were used to process the data of the same name and saved the results in txt format.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>GC</strong> – Gas Chromatography, <strong>GPC</strong> – Gel Permeation Chromatography</li> <li>definitions of variables: <strong>Magnetic field, Wavenumber, Pressure</strong></li> <li>units of measurement: <strong>Gauss (G), milli Tesla (mT), cm<sup>-1</sup>, milli bar (mbar)</strong></li> <li>abbreviations: <strong>IR/EPR/UV </strong>are data relate to measurements of IR/EPR/UV-Vis spectroscopy.</li> <li>abbreviation: <strong>CO/C2H4</strong> are data relate to methods with CO/ethene dosage.</li> <li>abbreviation: <strong>polym</strong> is data relates to polymer analysis conducted by GC and GPC</li> </ul> </li> </ul>
Multifunctional Catalyst Combination for the Direct Conversion of CO2 to Propane
<p>Supplementary Material: CO2 hydrogenation thermodynamics, kinetic model for CO2 hydrogenation, catalyst regeneration data, chemical and textural characterisaton (EDS, N2 absorption, PXRD), spectroscopic characterisation (EXAFS, FTIR, Raman), imaging (HAADF-STEM)</p>
MAPO-18 Catalysts for the Methanol to Olefins Process: Influence of Catalyst Acidity in a High-Pressure Syngas (CO + H2) Environment
<p>Supplementary Material: Catalyst characterization (XRD, SEM–EDS, N2 physisorption, IR spectroscopy, and propylamine-TPD), catalyst performance, and DFT calculations</p>
From Lab to Technical CO2 Hydrogenation Catalysts: Understanding PdZn Decomposition
<p>Supplementary material: Additional experimental results, including catalytic performances of the different scaled-up samples, SEM images, and additional XAS data related to the linear combination fit</p>
Discovering indium as hydrogen production booster for a Cu/SiO2 catalyst in steam reforming of methanol
<p>Indium is as an effective H2 production promoter in a Cu/SiO2 catalyst for the steam reforming<br>of methanol. We prepared silica-supported Cu-In catalyst via a urea-assisted co-precipitation method that showed a higher H2 productivity compared to the monometallic catalyst and a H2/CO2 molar ratio of almost 3 at 493 K. By means of XPS, XRPD and HRTEM-EDX along with H2 and CO-TPR, H2O-TPD, and N2O titrations, supported by computational modeling, the superior performances were attributed to an easier H2O activation due to lower oxidation state of the Cu, resulting from the electron density transfer from the InOx phase.</p> <p>Here are available:</p> <p>Hydrogen Temperature Programmed Reduction data;</p> <p>Carbon Monoxide Temperature Programmed Reduction data;</p> <p>Water Temperature Programmed Desorption data;</p> <p>Nitrogen Physisorption data.</p>
Droplet-based Microfluidics Reveals Insights into Cross-Coupling Mechanisms over Single-Atom Heterogeneous Catalysts
<p>Data set supporting the publication of : "Droplet-based Microfluidics Reveals Insights into Cross-Coupling Mechanisms over Single-Atom Heterogeneous Catalysts" (<a href="https://doi.org/10.1002/anie.202401056">https://doi.org/10.1002/anie.202401056</a>) by T. Moragues, G. Giannakakis, A. Ruiz-Ferrando, C. N. Borca, T. Huthwelker, A. Bugaev, A. J. deMello, J. Pérez-Ramírez and S. Mitchell.</p>
ZnO-Promoted Inverse ZrO2–Cu Catalysts for CO2-Based Methanol Synthesis under Mild Conditions
<p>Datasets supporting the publication 'ZnO-Promoted Inverse ZrO<sub>2</sub>–Cu Catalysts for CO<sub>2</sub>-Based Methanol Synthesis under Mild Conditions': catalyst evaluation data (Excel), XRD (Origin), crystallite sizes, Cu surface area, CO<sub>2</sub> uptake, H<sub>2</sub>-TPR, CO<sub>2</sub>-TPD, CO-DRIFTS profiles (CSV)</p>
Supporting data set for: Simulations of the Electrochemical Oxidation of Shape-Selected Nanoparticle Catalysts
<p>This dataset contains input and output files for simulations of the oxidation of a set of shape-selected, 3 nm platinum nanoparticles associated with the manuscript found at https://arxiv.org/abs/2201.07605.</p> <p>The simulations are performed using a grand-canonical Monte-Carlo algorithm[1,2] in combination with the ReaxFF reactive force field method as implemented in the Amsterdam Density Functional (ADF) software package version 2017.106 by Software for Chemistry and Materials (SCM). The Pt/O ReaxFF force field parameterized by Fantauzzi et al. was used for the simulations.[3] Simulations were performed at oxygen chemical potential conditions corresponding to 200-1000 K at ultra-high vacuum (UHV, <em>p</em><sub>O2</sub> = 10<sup>-10</sup> mbar) and 400-1200 K at near-ambient pressure (NAP, <em>p</em><sub>O2</sub> = 1 mbar) conditions. The following nanoparticle shapes were used as input structures for the simulations: (111)-indexed octahedron, (100)-indexed cube, (110)-indexed dodecahedron, (111)- and (100)-indexed cuboctahedron, mixed-indexed sphere, and (730)-indexed tetrahexahedron.</p> <p>The folder structure is as follows:<br> Particle shape -> pressure condition -> temperature condition -> simulation input and output files</p> <p>The simulation input and output files are of the following filetypes:<br> control: Input parameters for the ReaxFF software.<br> control_MC: Input parameters for the GCMC subroutine that interacts with the ReaxFF software.<br> geo: Atomic input coordinates in BGF file format.<br> geo_MCXXXXXX: Atomic output coordinates in BGF file format and ReaxFF total energy result for GCMC step XXXXXX.</p> <p>Simulations were performed for a total of 25,000 iterations. Only accepted GCMC steps result in the creation of a geo_XXXXXX output file. Therefore, the index XXXXXX is not continuous since output files are not written at every iteration. Other ReaxFF-specific output has been filtered in order to declutter the dataset.</p> <p>[1] T. P. Senftle, R. J. Meyer, M. J. Janik, A. C. T. van Duin, J. Chem. Phys. 2013, 139, 044109.<br> [2] T. P. Senftle, M. J. Janik, A. C. T. van Duin, J. Phys. Chem. C 2014, 118, 4967–4981.<br> [3] D. Fantauzzi, J. Bandlow, L. Sabo, J. E. Mueller, A. C. T. van Duin, T. Jacob, Phys. Chem. Chem. Phys. 2014, 16, 23118–23133.</p>
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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.