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363 results for “stack”
Pylint Results for Python Code Snippets on Stack Overflow
<p>This dataset contains valid pylint results for all Stack Overflow code snippets from SOTorrent that meet the following criteria</p> <ul> <li>Tagged with 'python'</li> <li>6 lines and above</li> <li>Contains basic python syntax (i.e. 'print', 'import', '(', '=')</li> <li>Produces a result when processed by Pylint</li> </ul>
HRAS_GFP zebrafish Embryo z-stack and 3D reconstruction visualized through LSFM
<p>A 2dpf zebrafish larvae is imaged through a custom developed LSFM setup developed at ICFO, at the Super-resolution Light microscopy and Nanoscopy (SLN) facility, with a resolution of 1 um, and with a double illumnation scheme.</p> <p>Pixel size is 0.43 um. Voxel depth is 2 um.</p> <p>The transgenic line is expressing HRAS_GFP labeling.</p> <p>The z-stack and corresponding 3D reconstruction are showed.</p> <p> </p> <p> </p>
Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks
<p>This data set contains confocal stacks from <em>Arabidopsis thaliana </em><em>35S::GFP-MBD</em> light grown hypocotyl as well as propidium iodide stained cotyledon pavement cells and shoot apical meristem. This is the test dataset for the Fiji macro SurfCut (https://github.com/sverger/SurfCut; 10.5281/zenodo.2635737)</p> <p> </p> <p><strong>Material and methods:</strong></p> <p>Plant material and growth conditions</p> <p><em>Arabidopsis thaliana </em>wild type Col-0 and the microtubule reporter line <em>GFP-MBD</em> (WS-4, (Marc et al. 1998) were used. Seeds were cold treated for 48 hr to synchronize germination. Plants were then grown in a phytotron at 20°C, in a 16 hr light/8 hr dark cycle on solid Murashige and Skoog medium (MS medium, Duchefa, Haarlem, the Netherlands) with 0.8% agar, 1% sucrose, and no vitamin.</p> <p> </p> <p>Confocal microscopy</p> <p>Cell contour staining in the case of PC_PI_Col0_(1-8).tif and SAM_PI_Col-0.tif was performed by staining the cell wall with Propidium Iodide (PI). Plants were immersed in 0.2 mg/ml propidium iodide (PI, Sigma-Aldrich) for 10 min and washed with water prior to imaging. For imaging, samples were either placed on a solid agar medium and immersed in water, or placed between glass slide and coverslip separated by 400 μm spacers to prevent tissue crushing. Images were acquired using a Leica TCS SP8 confocal microscope, equipped with a water immersion objective (HCX IRAPO L 25x/0.95 W). PI excitation was performed using a 552 nm solid-state laser and fluorescence was detected at 600–650 nm. GFP excitation was performed using a 488 nm solid-state laser and fluorescence was detected at 495–535 nm. Stacks of 1024x1024 pixels (pixel size of 0.363 x 0.363 micron) optical section were generated with a Z interval of 0.5 μm.</p> <p> </p> <p><strong>File list:</strong></p> <p>Light grown hypocotyl, <em>GFP-MBD</em> reporter line:</p> <p>- Hypocotyl_GFP-MBD.tif</p> <p>Cotyledon’s pavement cells, PI staining:</p> <p>- PC_PI_Col0_1.tif</p> <p>- PC_PI_Col0_2.tif</p> <p>- PC_PI_Col0_3.tif</p> <p>- PC_PI_Col0_4.tif</p> <p>- PC_PI_Col0_5.tif</p> <p>- PC_PI_Col0_6.tif</p> <p>- PC_PI_Col0_7.tif</p> <p>- PC_PI_Col0_8.tif</p> <p>Shoot apical meristem, PI staining:</p> <p>- SAM_PI_Col-0.tif</p> <p> </p> <p><strong>Reference:</strong></p> <p>Marc, Jan, Cheryl L. Granger, Jennifer Brincat, Deborah D. Fisher, Teh-hui Kao, Andrew G. McCubbin, and Richard J. Cyr. 1998. “A GFP–MAP4 Reporter Gene for Visualizing Cortical Microtubule Rearrangements in Living Epidermal Cells.” <em>The Plant Cell</em> 10 (11): 1927–39. https://doi.org/10.1105/tpc.10.11.1927.</p>
Replication package for the paper: "Technical Debt's State of Practice on Stack Overflow: a Preliminary Study"
<p>This is the replication package for the paper "Technical Debt’s State of Practice on Stack Overflow: a Preliminary Study", published (in Portuguese) in the preliminary results track of SBQS, the Brazilian Symposium on Software Quality.</p> <p> </p> <p>We provide the data for all steps of our methodology and final analysis. Each file is numbered, indicating the order in which they were produced in our study. </p>
Supporting information for "Regional benthic δ18O stacks for the "41-kyr world" - an Atlantic-Pacific divergence between 1.8-1.9 Ma"
<p><strong>Abstract</strong></p> <p>Benthic δ<sup>18</sup>O stacks are the benchmarks by which paleoceanographic data are stratigraphically aligned and compared. However, a recent study found that between 1.8-1.9 million years ago (Ma) several Ceara Rise records differed substantially from the widely used LR04 global stack. Here, we use new Bayesian stacking software to construct regional stacks and demonstrate a geographical divergence in benthic δ<sup>18</sup>O features from 1.8-1.9 Ma. The pattern of isotopic stage features observed in the Ceara Rise is widespread throughout the Atlantic and differs notably from Pacific records. We propose that this regional difference in isotopic stages may be the result of relatively strong precession forcing and weaker obliquity forcing between 1.8-1.9 Ma. In accordance with the Antiphase Hypothesis, our results highlight a period of apparent sensitivity to regional precession forcing that is masked during most of the 41-kyr world due to the amplitude modulation of obliquity forcing.</p> <p>In this version, we tested how an update to the BIGMACS code base (https://github.com/eilion/BIGMACS) to V1.1 may or may not impact our results of the GRL paper. We found that the updated code has a negligent impact on the results, as can be seen in the two new figures.</p>
Fitness App Ethical Requirements Stack
<p>An image of the Fitness App Ethical Requirements Stack</p>
Ethical Requirements Stack for Fitness App
<p>An image of the Ethical Requirements Stack for the Fitness App</p>
Research Artefact: What network simulator questions do users ask? a large-scale study of stack overflow posts
<p><strong>Research Artefact: What network simulator questions do users ask? a large-scale study of stack overflow posts</strong></p> <p>This is a research artefact for the paper: <strong>What network simulator questions do users ask? a large-scale study of stack overflow posts</strong>. This artefact is a repository consisting of the collected dataset including 2,322 network-simulator-related Stack Overflow questions. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.</p>
How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow
<p>This is the dataset that accompanies the study: "<strong>How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow</strong>." This study has been accepted for publication in the software engineering journal Empirical Software Engineering.</p> <p> </p> <p><strong><em>Following is the abstract of the study:</em></strong></p> <p>An essential part of software maintenance and evolution, refactoring is performed by developers, regardless of technology or domain, to improve the internal quality of the system, and reduce its technical debt. However, choosing the appropriate refactoring strategy is not always straightforward, resulting in developers seeking assistance. Although research in refactoring is well-established, with several studies altering between the detection of refactoring opportunities and the recommendation of appropriate code changes, little is known about their adoption in practice. Analyzing the perception of developers is critical to understand better what developers consider to be problematic in their code and how they handle it. Additionally, there is a need for bridging the gap between refactoring, as research, and its adoption in practice, by extracting common refactoring intents that are more suitable for what developers face in reality. In this study, we analyze refactoring discussions on Stack Overflow through a series of quantitative and qualitative experiments. Our results show that Stack Overflow is utilized by a diverse set of developers for refactoring assistance for a variety of technologies. Our observations show five areas that developers typically require help with refactoring-- Code Optimization, Tools and IDEs, Architecture and Design Patterns, Unit Testing, and Database. We envision our findings better bridge the support between traditional (or academic) aspects of refactoring and their real-world applicability, including better tool support.</p> <p><strong>Manuscript DOI:</strong> <a href="https://doi.org/10.1007/s10664-021-10045-x">https://doi.org/10.1007/s10664-021-10045-x</a> </p>
Dataset for "A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets"
<p>This dataset is associated with a research article entitled "A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets".</p>
Datasets for "Needle in a Bayes Stack: a Hierarchical Bayesian Method for Constraining the Neutron Star Equation of State with an Ensemble of Binary Neutron Star Post-merger Remnants"
<p>All data used for "Needle in a Bayes Stack: a Hierarchical Bayesian Method for Constraining the Neutron Star Equation of State with an Ensemble of Binary Neutron Star Post-merger Remnants", Criswell, A.W., et al. (2022). The code used to create the paper results from this data can be found at <a href="https://github.com/criswellalexander/hbpm_paper">https://github.com/criswellalexander/hbpm_paper</a> and the underlying software package can be found at <a href="https://github.com/criswellalexander/bayestack">https://github.com/criswellalexander/bayestack</a>.</p>
FDTD simulation of stack of 320 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 320 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "PAAO320nm<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of stack of 290 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "<em>PAAO290nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of stack of 260 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 260 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.jpg</em>" - a schematic of modeled structure. (6) "<em>PAAO260nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
Two-photon fluorescence microscopy image stacks of human brain sections (grey and white matter)
<p>Two-photon fluorescence microscopy (TPFM) image stacks of human brain sections including grey matter (N<sub>g</sub>=10) and white matter (N<sub>w</sub>=10), considered in the validation of the 3D fiber orientation analysis pipeline proposed in: "<em>Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy</em>". <br> Human brain tissue was preliminarily treated for TPFM following the label-free MAGIC preparation technique, presented in (Costantini et al., <em>Scientific Reports</em> 2021).</p> <p>The PSF of the TPFM system has a FWHM of (0.692, 0.692, 2.612) μm along the x, y, and z axes, respectively, whereas the adopted voxel size is 0.88 μm x 0.88 μm x 1 μm.</p>
SAR Stack of Miami in US, from Sentinel-1
<p>A stack of Coregistered SLCs on Miami, USA</p> <p>Sensor: Sentinel-1 Descending track 48</p> <p>Time: 2015.09.21 - 2021.11.12, 147 acquisitions</p> <p>Processor: ISCE/topsStack</p> <p>This is an input dataset for the time series analysis with <a href="https://github.com/insarlab/MiaplPy">MiaplPy</a>.</p>
Example of Fluorescence Lifetime Imaging Microscopy (FLIM) image stack in .ptu format
<p>The dataset is a 3D stack of fluorescence lifetime imaging microscopy (FLIM) images in ptu format to be used as test and training data. It contains the original .lif file (1) with the stack and a single plane image (to be opened using LAS X and LAS X SMD FLIM), exported raw FLIM data in .ptu format of the stack (3) and the single plane (2a) (to be opened in software capable of reading .ptu files) as well as an intensity image in .tif format (2b) of the single plane for a quick sample overview.</p> <p>The sample is a cross-section of hazel (<em>Corylus avellana</em>) 'diclinous male flower t.s.' with Etzold staining provided by the company Zeiss (CZ 01/05). The dataset was generated using a Leica Stellaris 8 upright confocal laser scanning microscope using a 93x/1.4 glycerol immersion objective. Each image of the 65 slice stack with z step size of 0.287 µm contains 512 x 512 pixels with a pixel size of 0.078 µm x 0.078 µm. Excitation was done with a white-light laser at 491 nm and a laser pulse rate of 40 MHz and a pixel dwell time of 2.0875 µs. Images were acquired using a HyD X detector in counting mode in the spectral range of 496 to 739 nm using Leica Application Suite X (LAS X) version 4.4.0.24861 and LAS X SMD FLIM version 4.5.0 for FLIM image acquisition. 10 frames were accumulated per image. Metadata is available as text file (4a) and as metadata files from LAS X (4b).</p>
Describing ion transport and water splitting in an electrodialysis stack with bipolar membranes by a 2-D model: Experimental validation
<p>Electrodialysis with bipolar membranes (EDBM) has drawn attention motivated by their application in gener- ating reagents from salts. Due to the water splitting (WS) occurring at the junction of the bipolar membranes (BPMs), where the anion and cation layers are in strict contact, H+ and OH- are released from the BPM producing acid and alkali on the respective compartment. Considering this application, the interest of this work is to provide further understanding of the mechanisms of WS and transport of species in EDBM. This work develops and utilizes, for the first time, an experimentally validated two-dimensional (2-D) computational model, in which the Navier-Stokes and Nernst-Planck equations are coupled with the description of WS given by the Second Wien effect. In addition, a 1-D geometry is also proposed to perform a comparison between electroneutrality and Poisson charge conservation. The model is computationally solved using COMSOL Multiphysics. According to simulations, electroneutrality is valid for 2-D geometries. Moreover, the semipermeable characteristics of the membranes are assessed by means of evidencing a polarization effect resulting in a double-electric layer. The model proposed predicts a significant proton leakage, and facilitates the study of WS within the BPMs.</p>
Tilt stacks of various ASI systems using continous STEM-DPC with an ADF detector in JEOL JEM-2100F
<p>Processed data (GIF-format) of tilt stacks using the ADF detector to acquire images of ASI systems while continuously tilting the specimen in LMSTEM. The structures shown are pinwheel, square and kagome lattices with different dimensions, milled into a 20nm thick layer of permalloy. Bitmaps used for FIB milling can be found in a separate folder.</p> <p><strong>Lattices</strong><br> pw = pinwheel<br> sq = square<br> kag = kagome</p> <p><strong>Sizes of each island</strong><br> XL = 1800nm x 600nm<br> L = 900nm x 300nm<br> M = 600nm x 200nm<br> S = 450nm x 150nm<br> XS = 225nm x 75nm</p> <p><br> We acknowledge the support from the Research Council of Norway for the Norwegian Center for Transmission Electron Microscopy, NORTEM (197405), the Norwegian Micro- and Nano-Fabrication Facility, NorFab (295864), and In-situ Correlated Nanoscale Imaging of Magnetic Fields in Functional Materials, InCoMa (315475).</p>
PARALLEL G-QUADRUPLEX FOLDS VIA MULTIPLE PATHS INVOLVING G-TRACT STACKING AND STRUCTURING FROM COIL ENSEMBLE
<p>Data from all-atom molecular dynamics simulations of DNA G-quadruplex and various G-hairpins: input files (Gromacs and Amber), stripped trajectory files (reactive trajectories and reference replicas for G4, and reactive trajectories, and reference replicas for selected hairpin simulations), metadynamics bias files, and the ΔG_fold calculation protocol.</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.