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Kinetic Insights into Glycerol Electrooxidation on Nickel: Current-Dependent Product Distribution and Reaction Mechanism
<p>## FILE DESCRIPTION<br>--------------<br>### Figure 1<br>- Fig1a.txt : Cyclic voltammetry of a Ni-based electrode in 0.1 M LiOH and 50 mM glycerol, measured at 5 mV s^-1. <br>- Fig1b.txt : IS spectra obtained at 1.50 V vs RHE in 0.1 M LiOH and 0.1 M LiOH + 50 mM glycerol.<br>- Fig1c.txt : Chronopotentiometric curves at 1 mA cm^-2, 3 mA cm^-2, 5 mA cm^-2 during 2 hours in 0.1 M LiOH + 50 mM glycerol.</p> <p>### Figure 2<br>- Fig2a.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1 mA cm^-2.<br>- Fig2b.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 3 mA cm^-2.<br>- Fig2c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 5 mA cm^-2.<br>- Fig2d.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 10 mA cm^-2.<br>- Fig2e.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 1 mA cm^-2.<br>- Fig2f.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 3 mA cm^-2.<br>- Fig2g.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 5 mA cm^-2.<br>- Fig2h.txt : Concentration of reaction products vs. time plots during glycerol oxidation (50 mM) in 0.1 M LiOH at 10 mA cm^-2.</p> <p>### Figure 3<br>- Fig3a.txt : Rate constant comparison at varying current densities applied for the formation of formate, glycolate, glycerate, tartronate and oxalate with its error bar.</p> <p>### Figure 4<br>- Fig4a.txt : Differential optical density (m∆O.D) taken at the maximum absorption peak as a function of potential applied in a solution of 0.1 M LiOH and LiOH 0.1 M + 50 mM glycerol in different regions (capacitive, NiOOH formation and GEOR and OER).<br>- Fig4b.txt : Rate law plot for glycerol and LiOH considering current density as a function of the normalized differential absorption (m∆O.D).</p> <p>### Figure S3<br>- FigS3.txt : X-ray diffraction (XRD) analysis </p> <p><br>### Figure S4<br>- FigS4a.txt : Cyclic Voltammetries in different electrolytes.</p> <p>### Figure S5<br>- FigS5a.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.53 V vs RHE.<br>- FigS5b.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.62 V vs RHE.<br>- FigS5c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 1.78 V vs RHE.</p> <p>### Figure S6<br>- FigS6a.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 1 mA cm^-2.<br>- FigS6b.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 3 mA cm^-2.<br>- FigS6c.txt : pH measurement near to the surface of the electrode and in the bulk of the solution every five minutes at 5 mA cm^-2.</p> <p>### Figure S7<br>- FigS7a.txt : UV-Vis absorbance spectra as a function of applied potentials in 0.1 M LiOH.<br>- FigS7b.txt : Chronoamperometry measurement without glycerol.<br>- FigS7c.txt : UV-Vis absorbance spectra as a function of applied potentials in 0.1 M LiOH + 50 mM glycerol.<br>- FigS8d.txt : Chronoamperometry measurement with glycerol.</p> <p>### Figure S8<br>- FigS8a.txt : Differential UV-Vis spectra of pre-catalytic (species formed in capacitive and NiOOH formation region) in 0.1 M LiOH.<br>- FigS8b.txt : Differential UV-Vis spectra of catalytic species (formed in OER and GEOR region) in 0.1 M LiOH.<br>- FigS8c.txt : Differential UV-Vis spectra of pre-catalytic species in 0.1 M LiOH + 50 mM glycerol. <br>- FigS8d.txt : Differential UV-Vis spectra of catalytic species in 0.1 M LiOH + 50 mM glycerol.<br>- FigS8e.txt : Steady state J-V curve with the onset for OER (Oxygen Evolution Reaction) and GEOR (Glycerol Electrooxidation Reaction) indicated.</p> <p>### Figure S9<br>- FigS9.txt : Rate law plot for glycerol and LiOH considering current density (j) as a function of the normalized differential absorption (m∆O.D).</p>
Supplementary material to: "Formation of low-pressure reaction textures during near-isothermal exhumation of hot orogenic crust (Bohemian Massif, Austria)"
<p>Supplemantary material to "Sorger, D., Hauzenberger, C. A., Finger, F., Linner, M., Skrzypek, E., & Schorn, S. (2024). Formation of low-pressure reaction textures during near-isothermal exhumation of hot orogenic crust (Bohemian Massif, Austria). Journal of Metamorphic Geology, 42(1), 3–34."</p>
Fig. 1 in Polymerase chain reaction and gyrA nucleotide sequence analysis of Wolbachia endosymbionts (Rickettsiales: Anaplasmataceae) in various species of Culicidae, Cimex lectularius (Hemiptera: Cimicidae) and Dirofilaria immitis (Rhabditida: Onchocercidae)
Fig. 1. Phylogenetic tree based on Maximum Likelihood depicting the grouping of Wolbachia from various hosts based on analysis of the gyrA gene. The numerical value displayed on branches is the bootstrap value (1,000 replicates), and branches with values below 50% are collapsed. The tree illustrates that gyrA sequences distinguish Wolbachia subtypes based on host taxonomy, demonstrating that this gene may contribute to Wolbachia strain typing projects and future phylogenetic analysis.
Artificial Curators / CuratorBot - Questions, Reactions, Survey Responses
<p>Three datasets captured through the CuratorBot digital demo during 2022 and 2023:</p> <ol> <li>questions posed to the CuratorBot and responses generated by the system</li> <li>quick like/dislike (thumbs-up/thumbs-down) feedback given by users to specific responses</li> <li>anonymous user responses to a survey attached to the CuratorBot</li> </ol>
Electrochemical activity of several compositions in the system Ag-Pd-Pt-Ru for the oxygen reduction reaction in 0.05 M KOH solution pH 12.5
<p>The dataset comprises electrochemical screening data of several compositions from three different thin film materials libraries in the system Ag-Pd-Pt-Ru. Given are three csv files that contain the measurement coordinates, the chemical composition in atomic percent and the electrochemical current that was evaluated from linear sweep voltammograms at a potential of 0.85V vs. RHE. </p> <p><strong>Experimental description</strong></p> <p>Materials libraries were fabricated by co-sputtering thin films on 100 mm diameter sapphire wafers (c-plane) from 4 elemental tar-gets. The targets were confocally aligned to a 100 mm substrate (target-substrate distance approx. 12 cm). Target materials had a purity of 99.99,%. Ar (99.9999 %) was used as a sputter gas. The deposition pressure was 0.667 Pa. The film thickness was 100 - 150 nm. The chemical composition of the materials libraries was measured by energy dispersive X-ray spectroscopy (EDX) with an acceleration voltage of 20 kV. 81 measurements were done on a regular grid of 9x9 (8.5 mm spacing) on each library. Linear regression was used to interpolate the composition over the 342 measurement areas of a 4.5 mm grid that was used in the scanning droplet cell experiments. Electrochemical measurements were conducted with the use of a high-throughput scanning droplet cell (SDC). The SDC head incorporates counter (Pt wire) and reference (Ag|AgCl|3 M KCl) electrodes and a teflon tip with 1 mm diameter. The materials library is connected as working electrode, e.g. the surface of the investigated sample in every spot where the tip touches the sample. The electrolyte was replaced for every measurement area. Linear sweep voltammograms were measured in 0.05 M KOH, pH 12.5, with a scan rate of 10 mV/s. All potentials are reported versus the RHE according to the following equation: URHE (V) = U(Ag|AgCl|3 M KCl) + 0.210 + (0.059 * pH), where U(Ag|AgCl|3 M KCl) is the potential measured versus Ag|AgCl|3 M KCl reference electrode, 0.210 V is the standard potential of the Ag|AgCl|3 M KCl reference electrode at 25◦C. Note that 0.059 is the result of (RT )· (nF)−1, where R is the gas constant, T is the temperature (298 K), F is the Faraday constant, and n is the number of electrons transferred during the reaction.</p> <p> </p>
3D structures along the reaction pathways of GTP hydrolysis by Arl3-RP2
<p>PDB files of 3D structures along the reaction pathways of GTP hydrolysis by Arl3-RP2 with the reaction coordinate values close to those obtained for minima and transitions states during the umbrella integration analysis of the reaction coordinate distributions.</p> <p>The filename includes the name of the minimum / transition state along the reaction path and the theory level.</p>
Absolute reactive cross sections for the reactions of methanimine radical cation (H2CNH+) and its isomer aminomethylene (HCNH2+) with C2H2
<p>This dataset contains the data in text format (.txt files) of the experimental absolute cross sections (with error) for the various products of the reactions of H<sub>2</sub>CNH<sup>+</sup> and HCNH<sub>2</sub><sup>+</sup> with C<sub>2</sub>H<sub>2</sub>. Absolute cross sections are reported as a function of the collision (<em>E<sub>CM</sub></em>) at fixed photon energies (<em>E<sub>phot</sub></em>) and as a function of the photon energy at fixed collision energies. </p> <p>The data are published (as Fig. 2-5) in the following original research paper:</p> <p>Title: <em>Experimental and computational studies on the reactivity of methanimine radical cation (H<sub>2</sub>CNH<sup>+.</sup>) and its isomer aminomethylene (HCNH2<sup>+.</sup>) with C<sub>2</sub>H<sub>2</sub></em></p> <p>Journal: <strong>Frontiers in Astronomy and Space Science - Astrochemistry</strong></p> <p>Research Topic: <a href="http://www.frontiersin.org/Journal/SpecialTopicDetail.aspx?s=79&name=Astrochemistry&st=14997&sname=Exploring_the_Chemical_Universe">Exploring the Chemical Universe</a></p> <p>Editors: Piero Ugliengo, Luca Bizzocchi, Ankan Das</p>
Sequence data for 'Machine-driven parameter-space exploration of biochemical reactions'
<p>The development of complex, multi-step <em>omics</em> methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where an optimum is sought in a parameter space through step-by-step optimisations. The the difficulty of miniaturising assays and the cost of the experiments limit the dynamic range and the number of parameters that can be explored. However, because of non-linearities of the response of biochemical systems to their reagent concentrations, a broad dynamic range is necessary. Here we demonstrate the use of a high-performance nanoliter handling platform (Labcyte Echo 525) and computer generation of liquid transfer programs to explore in quadruplicates more than 600 combination of 4 parameters of a biochemical reaction, which lead us to uncover non-linear responses, parameter interactions and novel mechanical insights. With the increased availability of « <em>cloud biology</em>» computer-driven laboratory platforms, our results participate in changing methods development for biotechnology towards reproducible, computer-aided exhaustive characterisation of biochemical systems.</p> <p>This dataset contains the raw sequencing data produced with an Illumina MiSeq instrument for this project. FASTQ files and sample sheets are found in the usual location (Data/Intensities/BaseCalls). The "Thumbnail_Images" and "L001" directories were deleted to save space.</p> <p>Run IDs: 171227_M00528_0321_000000000-B4GLP, 180403_M00528_0348_000000000-B4GP8, 180517_M00528_0364_000000000-BRGK6, 180123_M00528_0325_000000000-B4PCK, 180411_M00528_0351_000000000-BN3BL, 180606_M00528_0367_000000000-BN3FG, 180326_M00528_0346_000000000-B4GJR, 180501_M00528_0359_000000000-B4PJY, 180607_M00528_0368_000000000-BN9KM</p> <p> </p>
Dataset Lilterature review on Cyberlaw and Behavioral Reactions
<p>Merupakan Dataset dari Literature Review tentang Cyberlaw and Behavioral Reactions</p>
Dataset Literature Review on Cyber Law and Behavioral Reactions
<p>Merupakan dataset dari Literature Review tentang cyber Law and Behavioral Reactions</p>
Data for "Understanding density driven errors via reaction barrier heights"
<p>Contains gzipped tarballs for BH76 data, inputs, and outputs computed with PySCF and the UTEP-NRLMOL code.</p> <p>Contents:</p> <ul> <li>r2SCAN_BH76_FODs.tar.gz : all relaxed Fermi orbital descriptors (FODs) computed self-consistently for r<sup>2</sup>SCAN-FLOSIC <ul> <li>All entries are space-separated</li> <li>The first line contains the number of up-spin FODs followed by the number of down-spin FODs</li> <li>The first three values in each ensuing line are the x, y, and z coordinates of the FOD</li> </ul> </li> <li>results_aug-cc-pvqz.tar.gz : all PySCF inputs/outputs for BH76 computed using the aug-cc-pVQZ basis set (spherical representation) <ul> <li>DFAs = HF/EXOA, LSDA, PBE, BLYP, SCAN, r<sup>2</sup>SCAN, M06-L, MN15-L, B3LYP, LC-wPBE</li> <li>And DFA @ DFA2, where DFA2 = HF, LSDA, PBE, LC-wPBE</li> </ul> </li> <li>results_def2-QZVP.tar.gz : all PySCF inputs/outputs for BH76 computed using the def2-QZVP basis set (spherical representation) <ul> <li>DFAs = HF/EXOA, LSDA, PBE, SCAN, r<sup>2</sup>SCAN, LC-wPBE</li> <li>And DFA @ DFA2, where DFA2 = HF, LC-wPBE</li> </ul> </li> <li>results_NRLMOL_cart.tar.gz : all PySCF inputs/outputs for BH76 computed using the default NRLMOL (density-functional optimized or DFO) basis set (Cartesian representation) <ul> <li>DFAs = HF/EXOA, LSDA, PBE, SCAN, r<sup>2</sup>SCAN, LC-wPBE</li> <li>And DFA @ DFA2, where DFA2 = HF, LC-wPBE</li> </ul> </li> <li>FLOSIC.tar.gz : data computed using the UTEP-NRLMOL code (NRLMOL basis set, Cartesian representation) <ul> <li>DFAs = LSDA, PBE, SCAN, r<sup>2</sup>SCAN</li> <li>And DFA@SCAN-FLOSIC</li> </ul> </li> <li>DC_DFT_processed_data.tar.gz : processed density-driven and functional-driven errors, and density sensitivity data</li> <li>r2SCAN_hybids.tar.gz : self-consistent r2 SCAN hybrid calculations (R2X-<em>x</em>) and DFA@R2X-<em>x</em> calculations <ul> <li>All PySCF input/output, aug-cc-pVQZ basis (spherical representation)</li> <li><em>x </em>= 0, 0.1, 0.2, 0.25, 0.3, 0.4, 0.5, 0.6, 0.7, 0.75, 0.8, 0.9, 1.0</li> <li>DFA = LSDA, PBE, BLYP, SCAN, r2SCAN, B3LYP, LC-wPBE</li> </ul> </li> <li>SCAN_hybids.tar.gz : self-consistent SCAN hybrid calculations (SX-<em>x</em>) and DFA@SX-<em>x</em> calculations <ul> <li>All PySCF input/output, aug-cc-pVQZ basis (spherical representation)</li> <li><em>x </em>= 0, 0.1, 0.25, 0.5, 0.75, 1.0</li> <li>DFA = LSDA, PBE, SCAN, r2SCAN, LC-wPBE</li> </ul> </li> </ul>
On the reversible sodium plating/stripping reaction in porous SiCN(O) ceramic: a feasibility study. Supporting Information
<p>Supporting Information of the article: On the reversible sodium plating/stripping reaction in porous SiCN(O) ceramic: a feasibility study</p>
WhereWulff: A semi-autonomous workflow for systematic catalyst surface reactivity under reaction conditions
<p>This repository houses electronic structure data and metadata generated as part of a computational chemistry case study, enabling full analysis of the paper "WhereWulff: A semi-autonomous workflow for systematic catalyst surface reactivity under reaction conditions" by Rohan Yuri Sanspeur, Javier Heras-Domingo, John R. Kitchin and Zachary Ulissi.</p>
Fast Initiating Furan-Containing Hoveyda-Type Complexes: Synthesis and Applications in Metathesis Reactions
<p>Data confirming the structure of the new compounds obtained within the project, published in <em>Chemistry</em> <strong>2022</strong>, <em>4</em>(3), 786-795; <a href="https://doi.org/10.3390/chemistry4030056">https://doi.org/10.3390/chemistry4030056</a></p> <p>The research was performed within SONATA BIS project and was funded by National Science Centre, Poland, grant number DEC-2021/42/E/ST4/00187.</p> <p> </p> <p> </p>
Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions
<p>We herein provide the raw data that form the basis of the manuscript "Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions". Please find the abstract below:</p> <p>The formation of new carbon-nitrogen bonds is indisputably one of the most important tasks in synthetic organic chemistry. Here, nitroso compounds offer a highly interesting reactivity that complements traditional amination strategies, allowing for the introduction of nitrogen functionalities via ene-type reactions or Diels-Alder cycloadditions. In this study, we highlight the potential of horseradish peroxidase as biological mediator for the generation of reactive nitroso species under environmentally benign conditions. Exploiting a non-natural peroxidase reactivity, in combination with glucose oxidase as oxygen-activating biocatalyst, aerobic activation of a broad range of <em>N</em>-hydroxycarbamates and hydroxamic acids is achieved. Thus both intra- and intermolecular nitroso-ene as well as nitroso-Diels-Alder reactions are performed with high efficiency. Relying on a commercial and robust enzyme system, the aqueous catalyst solution can be recycled over numerous reaction cycles without significant loss of activity. Overall, this green and scalable C-N bond-forming strategy enables the production of allylic amides and various <em>N</em>-heterocyclic building blocks utilizing only air and glucose as sacrificial reagents.</p>
Supporting Information for the Journal Article "Quantum Chemical Data Generation as Fill-In for Reliability Enhancement of Machine-Learning Reaction and Retrosynthesis Planning"
<p>This data set contains all data produced when exploring the Williamson ether synthesis starting from iodoethane and phenol.</p> <p><br> The set is structures as follows:</p> <ul> <li>analysis: Contains the script used to analyze the exploration and the output of said script</li> <li>check_barrier: Contains the output of the manual calculations done to check the barrier of the reaction</li> <li>exploration: Contains the scripts used to initialize and carry out the exploration as well as the two starting structures as XYZ files</li> <li>raw_data: a dump of the MongoDB database with all the data produced during the exploration</li> </ul>
Changing the reaction path of Al/Ni multilayers through planned growth defects
<p>To form line structures with 80 µm hills and valleys width into a Si <100> substrate, thermal oxidation, lithography, and wet chemical etching steps were necessary. During the procedure a inclination was formed in the transition zone between the hills and valleys, due to the KOH etching of the Si <100> substrate. A valley depth of 3.4 µm was measured after the KOH etching. To enable a self-propagating reaction on the structured Si surface, as seen in the video, a 1.2 µm thick layer of thermal SiO2 was produced. The 5 µm thick Al/Ni multilayers were then deposited with direct current magnetron sputtering in an atomic ratio of 1:1, while keeping a bilayer thickness of 50 nm. During the deposition, defects in the multilayers located at the inclined area between the hills and valleys were formed. As shown in the publication of Jaekel et al. (2022) the defects are gaps at the inclined transition zone [1]. During the ignition of the sample, these defects prevented a reaction of the multilayers deposited on the hills. Therefore, a new potential way to guide the reaction on a specific pathway could be established. The video displays an example of a self-propagating reaction, in which the bright reaction front propagates only in the valleys, with an average velocity of 7.4 m/s. The velocity is calculated with the pixels size of 34.4827 µm and the frame rate of 50000 per second. Highspeed-camera FASTCAM SA-X2 type 480K-M3 was used to obtain the video in a resolution of 512x408 pixels.</p>
The GRETOBAPE gas-phase reaction network: the importance of being exothermic
<p>Zip file containing all the network, codes and database used and/or obtained in our accepted article for publication in ApJS, 2023.</p> <p>The folder structure is illustrated in the ReadMe.txt file.</p>
Leveraging preserved specimens of Nerodia to infer the spatiotemporal dynamics of Ophidiomyces ophidiicola via quantitative polymerase chain reaction
<p><em>Ophidiomyces ophidiicola </em>(<em>Oo</em>) is a fungal pathogen and the causative agent of ophidiomycosis that has affected multiple snake taxa across the United States, Europe, and Asia. Ophidiomycosis<em> </em>has often been referred to as an emerging infectious disease (EID), however its status as an EID has recently come under debate. <em>Oo </em>infections have been confirmed in wild snake populations in Texas; however, it is unknown if the pathogen is novel (i.e., invasive) or endemic to the state. To address this knowledge gap, we conducted surveys for <em>Oo </em>among preserved <em>Nerodia </em>deposited at three university museums in Texas. First, we visually assessed snakes for signs of infection (SOI), and if SOI were present, we sampled the affected area. We then used quantitative polymerase chain reaction to diagnose the presence of <em>Oo </em>DNA on areas with SOI and used these data to evaluate spatiotemporal patterns of <em>Oo</em> prevalence. We also tested for significant spatial clusters of <em>Oo </em>infection using a Bernoulli probability model as implemented in the program SatScan. We found that the proportion of snakes exhibiting SOI was constant over time while the prevalence of <em>Oo </em>DNA among those SOI increased across space and time. Within these data, we detected an incidence pattern consistent with an introduction and then spread. We detected six spatial clusters of <em>Oo </em>infection, although only one was significant. Our results support the hypothesis that <em>Oo </em>was an emerging, novel pathogen to Texas snakes. These data narrow the knowledge gap regarding the history of <em>Oo</em> infections in Texas and establish a historical record of confirmed <em>Oo </em>detections in several counties across the state. Thus, our results will guide future research to those areas with evidence of past <em>Oo</em> infections but lacking confirmation in contemporary hosts.</p>
Discrete Feature Representations of CHO Reaction Mechanisms as Quasireaction Subgraphs
<p>This data set contains 194778 quasireaction subgraphs extracted from CHO transition networks with 2-6 non-hydrogen atoms (CxHyOz, 2 <= x + z <= 6).</p> <p>The complete table of subgraphs (including file locations) is in CHO-6-atoms-subgraphs.csv file. The subgraphs are in GraphML format (http://graphml.graphdrawing.org) and are compressed using bzip2. All subgraphs are undirected and unweighted. The reactant and product nodes (initial and final) are labeled in the "type" node attribute. The nodes are represented as multi-molecule SMILES strings. The edges are labeled by the reaction rules in SMARTS representation. The forward and backward reading of the SMARTS string should be considered equivalent.</p> <p>The generation and analysis of this data set is described in<br> D. Rappoport, Statistics and Bias-Free Sampling of Reaction Mechanisms from Reaction Network Models, 2023, submitted. Preprint at ChemrXiv, DOI: 10.26434/chemrxiv-2023-wltcr</p> <p>Simulation parameters<br> - CHO networks constructed using polar bond break/bond formation rule set for CHO.<br> - High-energy nodes were excluded using the following rules:<br> (i) more than 3 rings, (ii) triple and allene bonds in rings, (iii) double bonds at<br> bridge atoms,(iv) double bonds in fused 3-membered rings.<br> - Neutral nodes were defined as containing only neutral molecules.<br> - Shortest path lengths were determined for all pairs of neutral nodes.<br> - Pairs of neutral nodes with shortest-path length > 8 were excluded.<br> - Additionally, pairs of neutral nodes connected only by shortest paths passing through<br> additional neutral nodes (reducible paths) were excluded.</p> <p>For background and additional details, see paper above.</p>
ScienceDex guides
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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.