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8,565 results for “characterization”
Characterizing the Folding Transition State Ensembles in the Energy Landscape of an RNA Tetraloop - available data.
<p>Trajectory file and scripts necessary to generate an ELViM [Oliveira, A. B.; Yang, H.; Whitford, P. C.; Leite, V. B. P. JCTC, 2019, 15, p.6482] projection of the conformational space for the GCAA tetraloop.</p>
Low-cost test rig for characterization of photocatalytic two dimensional materials using photonically sized UV-A LED light sources
<p>In the presented studies, a system for the characterization of two-dimensional photocatalysts was developed and tested. In the system, reference substances can be studied online with regard to their degradability and adsorption on photocatalytic materials. In order to perform accurate calculations of the quantum and photon efficiency of the catalysts, the LED arrays used were adjusted in their spacing by simulations so that a homogeneous light field is imaged on the catalysts. The system was tested with respect to measurement accuracy and reproducibility and the photocatalytic degradation of methylene blue, methyl orange and rhodamine B was investigated. Exemplarily, the reaction kinetics, photolysis and adsorption on the tested photocatalysts were determined for these compounds and the calculation was presented in detail. The exact construction plans and circuits as well as the sensors and their programming are presented in detail and should encourage other scientists to replicate the experimental setup, since especially in the field of photocatalysis research, often the results of publications cannot be compared with each other.</p>
Data from: Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.
<p>This data accompanies the paper entitled <strong><em>Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.</em></strong></p> <p>The zip archive contains the results of molecular dynamics simulations of the 2 systems investigated in the paper: <em>S. rum</em> and <em>T. mar</em> LDHs. The systems have been simulated at 315 K for <em>S. rum </em>and 340 K for <em>T. mar</em>. Final configurations of the proteins after productions are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.</p>
NewSOC, supplementary information to WT2.3 "Development of doped lanthanum chromite based fuel electrodes", WT2.5 "Electrochemical characterization of single cells"
<p>These are experimental data related to CERTH participation in NewSOC project (874577) regarding WT2.3 “Development of doped lanthanum chromite based fuel electrodes”, WT2.5 “Electrochemical characterization of single cells”. The data set includes:</p> <ul> <li>physicochemical characterization (ICP, BET, XRD and SEM) of the powders and electrodes or cells produced (SEM)</li> <li>electrochemical characterization (iV characteristics, impedance, stability tests)</li> </ul> <p> </p> <p><strong>LSCrF0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV, EIS and stability testing for button cells using different electrolyte substrates (formulation and thickness) and oxygen electrode materials operating under steam electrolysis, co-electrolysis of steam and carbon dioxide and reversible operation in steam or carbon dioxide cycle.</p> <p><strong>LSCrF0.5.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Ni<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.5.rar:</strong> The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Ni<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, and (B) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrMn0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Mn<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.05Ti0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>Ti<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.05V0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>V<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.25Ti0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>Ti<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.25V0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>V<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>Ni-GDC.rar</strong>: The zip folder contains data related to button cell stability testing using a commercial Ni-GDC fuel electrode material operating under steam electrolysis. </p> <p><strong>LARGE CELLS.rar</strong>: Data set for large cells (5x5 cm2) including iV, EIS and short-term stability testing employing Keracell III cell, Ni-GDC and LSCrF0.1 fuel electrodes operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p> </p> <p> </p> <p> </p>
Figure 1 in Molecular characterization of Bacillus thuringiensis strains to control Spodoptera eridania (Cramer) (Lepidoptera: Noctuidae) population
Figure 1 Mortality of S. eridania caterpillars caused by different B. thuringiensis (Bt) strains with a concentration of 108 spores/mL after 7 days of bioassay.Means followed by the same letter did not differ statistically by Scott-Knott test at 1% significance (p <0.01).
Figure 2 in Molecular characterization of Bacillus thuringiensis strains to control Spodoptera eridania (Cramer) (Lepidoptera: Noctuidae) population
Figure 2 Fingerprint patterns for ERIC-PCR (A) and REP-PCR (B) fragments of selected B. thuringiensis strains isolated in different locations. M = 1 kb Plus DNA ladder.
Fig. 1 in Isolation and molecular characterization of Bacillus thuringiensis found in soils of the Cerrado region of Brazil, and their toxicity to Aedes aegypti larvae
Fig. 1. SDS-PAGE protein profiles of the Bacillus thuringiensis isolates most toxic to Aedes aegypti larvae. MM, molecular weight marker (kDa); Bti, Bacillus thuringiensis var. israelensis; 25–560, Bacillus thuringiensis isolates.
Data for: Characterization of a sperm motility signaling pathway in a gonochoric coral suggests conservation across sexual systems
<p>Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signaling pathways controlling sperm motility are also distinct between these sexual systems. Here, we addressed this knowledge gap using the gonochoric broadcast spawning coral <em>Astrangia</em> <em>poculata</em>. We found that cytosolic alkalinization of sperm activates the pH-sensing enzyme soluble adenylyl cyclase (sAC), which is required for motility. Additionally, we demonstrate for the first time in any cnidarian that sAC activity is necessary for PKA activation, and PKA activity is also required for motility. Ultrastructures of <em>A. poculata</em> sperm displayed morphological homology with other gonochoric cnidarians, and investigation of cnidarian proteomes revealed that sAC exhibits broad structural and functional conservation across this phylum. These results indicate a conserved role for pH-dependent sAC-PKA signaling in sperm motility across coral sexual systems and suggest that the role of this pathway in sperm motility is likely ancestral in metazoans. Finally, the dynamics of this pH-sensitive pathway may play a critical role in determining the sensitivity of marine invertebrate reproduction to anthropogenic ocean acidification.</p>
Characterization of two electronic subsystems in cuprates through optical conductivity
<p>Data sets for original figures in the article titled 'Characterization of two electronic subsystems in cuprates through optical conductivity' published in <a href="https://doi.org/10.1103/PhysRevB.107.144515">Physical Review B <strong>107</strong>, 144515 (2023)</a>. The file name of each xls file corresponds to the figure number in the published article. The files can be opened using the Excel program. If there are sub-figures, or multiple frames in each figure, the data of each sub-figure is stored in separate sheets within one xls file.</p>
Genomic characterization and gene bank curation of Aegilops using genotyping-by-sequencing
<p>In this study, genotyping-by-sequencing (GBS) was performed on 1041 <em>Aegilops</em> accessions, representing 23 different species. These accessions have been maintained by the Wheat Genetics and Resource Center (WGRC) at Kansas State University. The GBS FASTQ files have been uploaded to the NCBI SRA public repository under the BioProject accession number # PRJNA985892. We have provided other files related to data analysis, such as the barcode key file, SNP matrices, and taxonomic information of the accessions in this Dryad repository, which can be accessed through the provided link. The aim of the study was to explore the genetic and genomic characteristics of wild wheat relatives, <em>Aegilops,</em> using a larger number of SNP markers. Here, we also curated the WGRC gene bank <em>Aegilops</em> collection via the identification of misclassified accessions and genetically identical redundant accessions. Further, we explored the genomic relationship between wheat and the different <em>Aegilops</em> species. </p>
Supporting Data: Characterizing Sub-Glacial Hydrology Using Radar Simulations
<p>Raw data from "A Simulation Approach to Characterizing Sub-Glacial Hydrology". </p> <p>THW2_UBH0c_X243a.M1D1 is the 1 dimensionally focused, high gain radargram from the IPR radar survey. </p> <p>Actual along-track IPR pick data for THW2_UBH0c_X243a are contained in file X243a_rad_data_foc.csv. Metadata are as follows:</p> <ul> <li>pst: flight line name</li> <li>long: observation longitude in decimal degrees (EPSG:4326)</li> <li>lat: observation latitude in decimal degrees (EPSG:4326)</li> <li>bed: bed pick elevation in [m]</li> <li>year: timestamp year</li> <li>day: timestamp day</li> <li>t_ms: timestamp miliseconds</li> <li>srf: surface pick elevation in [m]</li> <li>echo: bed echo strength [dB]</li> <li>thk: ice thickness [m]</li> <li>Lice: estimated 2-way attenuation loss [dB]</li> <li>R_bed: bed absolute reflectivity [dB]</li> <li>L_unc: 2-way attenuation loss uncertainty [dB]</li> </ul> <p>Simulated data: A folder for each simulation contains the files listed below.</p> <ul> <li>Inputs: <ul> <li>[INPUT] Trajectory_MRS.mat: values for simulated aircraft trajectory, including total # of rangelines (TrackLengthTot), aircraft position at each rangeline in [m] (sc_position_x, sc_position_y, sc_position_z), and aircraft velocity in [m/s] (sc_vel_x, sc_vel_y, sc_vel_z)</li> <li>bed.csv: lists all z-values in [m] for the bed surface</li> <li>chan.csv: lists all z-values in [m] for the channel surface</li> <li>params.txt: lists all pertinent parameters from the simulation</li> <li>surf.csv: lists all z-values in [m] for the ice surface</li> <li>xx.csv: lists all x-values in [m] for the ice surface</li> <li>xx_b.csv: lists all x-values in [m] for the bed and channel surface</li> <li>yy.csv: lists all y-values in [m] for the ice surface</li> <li>yy_b.csv: lists all y-values in [m] for the bed and channel surface</li> </ul> </li> <li>Radargrams: <ul> <li>RgramFocPWR_RM3_hamm.mat: Focused radargram power [dB]</li> <li>RgramRawPWR.mat: Raw radargram power [dB]</li> <li>RgramRCPWR.mat: Range-compressed radargram power [dB]<br> </li> </ul> </li> </ul>
Extending the application of connectivity metrics within the framework of the characterization of the dynamic behaviour of a WDS subjected to users' activity
<p>Water distribution networks (WDNs) are complex combinations of nodes and links, and the current tendency is to modify their topological structure through the closure of isolation valves for monitoring and water quality reasons. For their analysis, several approaches based on graph theory have recently been proposed, mainly considering steady-state flow conditions. However, in their real functioning, WDNs are continuously subjected to pressure transients generated by manoeuvres on regulation devices or by users’ activity. This study investigates the application of some metrics from graph theory, already used in the context of steady-state analysis, for assessing the effects of changes in the topological structure of a network ‒ due for example to sectorization or branching operations ‒ on its transient response when subjected to manoeuvres on devices such as hydrants, pumps, etc. or users’ activity. The analysis shows that some connectivity metrics can effectively reflect the dynamic pressure behaviour of the network and, thus, provide useful indications for design and management operations taking into account unsteady flow features.</p>
Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature"
<p>Data associated with the following publication: "A fully automated measurement system for the characterization of micro thermoelectric devices near room temperature" (DOI: <a href="https://doi.org/10.1016/j.applthermaleng.2023.120111">10.1016/j.applthermaleng.2023.120111</a>).</p>
Data & Figures on the Multiscale Spatiotemporal Characterization of Embodied Environmental Efficiency of Building Structures in Geneva from 1850 to 2018
<p>Process data, figures, and figure data resulting from the study on Multiscale Spatiotemporal Characterization of Embodied Environmental Efficiency of Building Structures in Geneva from 1850 to 2018.</p>
Data for figures in "Next-generation ice nucleating particle sampling on aircraft: Characterization of the High-volume flow aERosol particle filter sAmpler (HERA)"
<p>Atmospheric ice nucleating particle (INP) concentration data from the free troposphere are sparse, but urgently needed to understand vertical transport processes of INPs and their influence on cloud formation and properties. Here, we introduce the new High-volume flow aERosol particle filter sAmpler (HERA) which was specially developed for installation on research aircraft and subsequent offline INP analysis. HERA is a modular system constisting of a sampling unit and a powerful pump unit and has several features which were integrated specifically for INP sampling. Firstly, the pump unit enables sampling at flow rates exceeding 100 L min<sup>−1</sup>, which is well above typical flow rates of aircraft INP sampling systems described in the literature (~10 L min<sup>−1</sup>). Consequently, required sampling times to capture rare, high-temperature INPs (≥-15 °C) are reduced in comparison to other systems and potential source regions of INPs can be confined more precisely. Secondly, the sampling unit is designed as a seven-way valve, enabling switching between six filter holders and a bypass with one filter being sampled at a time. In contrast to other aircraft INP sampling systems, the valve position is controlled remotely via software so that manual filter changes in-flight are eliminated and the potential for sample contamination is decreased. This design is compatible with a high degree of automation, i.e., triggering filter changes depending on parameters like flight altitude, geographical location, temperature, or time. In addition to the design and principle of operation of HERA, this paper presents laboratory characterization experiments with size-selected test substances, i.e., SNOMAX® and Arizona Test Dust. The particles were sampled on filters with HERA, varying either particle diameter (300 nm to 800 nm) or flow rate (10 L min<sup>−1</sup> to 100 L min<sup>−1</sup>) between experiments. The subsequent offline INP analysis showed good agreement with literature data and comparable sampling efficiencies for all investigated particle sizes and flow rates. Furthermore, the deposition efficiency of atmospheric INPs in HERA was compared to a straightforward filter sampler and good agreement was found. Finally, results from the first campaign of HERA on the High Altitude and LOng range research aircraft (HALO) demonstrate the functionality of the new system in the context of aircraft application.</p> <p>The given csv files contain the data for reproducing the figures in the publication. The data structure of the csv files is explained in the README file.</p>
Fig. 1 in Morphometric characterization of adult Artemia (Crustacea: Branchiopoda) populations from costal and inland Tunisian salt lakes
Fig. 1. Scatterplot of the first two canonical discriminant functions (group centroids) resulting from the discriminant analysis applied to morphological traits and morphometric data for the studied populations, using the origin of each population as a separation factor. Abbreviations for populations are explained in Table 1.
Dataset - Speeding up high-throughput characterization of materials libraries by active learning: autonomous electrical resistance measurements
<p>With the trend towards multinary materials and the associated increase in measurement time, there is a clear need for increasing the efficiency of measurement procedures. In systems requiring long materials characterization times, the implementation of active learning can help decreasing the measurement duration significantly. This dataset is part of the publication in Digital Discovery under the same title and holds the algorithm as well as the data used to test its performance. The algorithm leverages an active learning approach with a Gaussian process model capable of selecting the next measurement area of a library of materials based on the highest uncertainty. Ten materials libraries were manufactured by magnetron sputtering, the composition was measured with EDX and the electrical resistance was measured using the described test stand. The code can also be found on <a href="https://gitlab.ruhr-uni-bochum.de/fthelen/auto-resist-meas">Gitlab</a>.</p>
Datasets for Morphological and Spectral Characterization of Lunar Regolith Breakdown due to Water Ice
<p>Remote sensing observations of the Moon suggest that the lunar polar regolith environment is affected by several natural processes that may cause the regolith in these regions to become more porous and fine particulate. One of these processes may be the mechanical breakdown of regolith particles through the interaction of water ice and regolith by frost wedging. We present morphological and spectral analyses of high-fidelity lunar regolith simulants LHS-1 (lunar highlands simulant-1) and LMS-1 (lunar mare simulant-1) that have been exposed to varying concentrations of water ice (1, 10, and 30 wt%) over extended periods of time (1, 3, and 6 months) to evaluate the extent at which lunar regolith may be weathered by ice-regolith interactions in the Moon’s polar regions. To characterize changes in regolith particle morphology, we explored grain size and shape parameters with the CILAS ExpertShape suite and characterized the abundance and evolution of clinging fines with scanning electron microscopy (SEM) and energy dispersive x-ray spectroscopy (EDS). Reflectance spectra were taken from 1.0 – 22.5 µm (444.4 - 10,000 cm<sup>-1</sup>) to characterize any differences in spectral features that may occur as a result of regolith breakdown. Both the morphological and spectral investigations display trends that show simulant particle degradation as a function of composition, increasing water concentration, and freezing time. Our study demonstrates that the lunar regolith is susceptible to mechanical breakdown in the presence of water ice and that water ice is likely a contributor to the weathering environment within permanently shadowed regions on the lunar surface.</p> <p>This dataset contains all spectra, SEM images, and ExpertShape images/results used to conduct this work.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 2
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 5
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</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.