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1,491 results for “Ione”
Lookup tables for H2SO4-H2O binary and H2SO4-H2O-NH3 ternary homogeneous and ion-mediated nucleation
<p>2019/10/10</p> <p>This directory contains fortran code and lookup tables for calculating<br> nucleation rate for the following four nucleation mechanims:<br> 1. H2SO4-H2O binary homogenous nucleation (BHN),<br> 2. H2SO4-H2O-NH3 ternary homogeneous nucleation (THN),<br> 3. H2SO4-H2O-Ions binary ion-mediated nucleation (BIMN), and<br> 4. H2SO4-H2O-NH3-Ions ternary ion-mediated nucleation (TIMN)</p> <p>References:</p> <p>1. Yu, F., Nadykto, A. B., Herb, J., Luo, G., Nazarenko, K. M., and<br> Uvarova, L. A.: H2SO4-H2O-NH3 ternary ion-mediated nucleation (BHN):<br> Kinetic-based model and comparison with CLOUD measurements, Atmos.<br> Chem. Phys.,18, 17451-17474,<br> https://doi.org/10.5194/acp-18-17451-2018, 2018.<br> 2. Yu, F., Nadykto, A. B., Herb, and J., Luo, H2SO4-H2O binary and<br> H2SO4-H2O-NH3 ternary homogeneous and ion-mediated nucleation: Lookup tables,<br> in review, GMD, 2019.</p> <p><br> Files included in the package:</p> <p>YBHN/: BHN code and lookup table<br> YTHN/: THN code and lookup table<br> YBIMN/: BIMN code and lookup table<br> YTIMN/: TIMN code and lookup table</p> <p>nucl_XXX_mod.f (XXX = BHN, THN, BIMN, TIMN): Stand alone module for XXX rate calculation.</p> <p>mainXXX.f: Test program to demonstrate how the lookup table is used.</p> <p>inputXXX.dat: Example input data for testing the code and lookup table.<br> outputXXX.dat: Example output after running the test code</p> <p>Use "f95 *.f" to compile and get executable program a.out</p> <p>To run the test program:</p> <p>>a.out</p> <p>For your reference, output of running the program on my workstation has been saved to outputXXX.dat.</p> <p>I hope that the comments provided in the subroutines make<br> the code self-explanatory. Contact me if you have questions.</p> <p>Enjoy and have fun!</p> <p>Fangqun Yu<br> SUNY-Albany<br> (fyu@albany.edu)</p>
A dataset on ion-exchange membrane fouling by humic acid during electrodialysis
<p>This dataset decribes the effect of process setting on the fouling of an electrodialysis pilot installation treating a sodium chloride solution in the presence of humic acid in a series of 22 experiments. The electrical resistance over the electrodialysis stack was monitored in time while varying the crossflow velocity in the compartments, the current applied and the salt concentration in the processed. The active cycle was maintained for a maximum of 1.5h after which the polarity was reversed to remove the fouling layer. In the pilot, additional data is included such as the temperature, pH, flow rate, conductivity, pressure in the different compartments of the ED stack.</p>
Data-driven model enhancement of late-life lithium-ion batteries
<p>Suplement dataset for the paper "Data-driven model enhancement of late-life lithium-ion batteries"</p>
Dataset of "Comprehensive Machine Learning Approaches for Modelling the State of Charge of Lithium-ion Batteries"
<p>This paper evaluates three ML approaches for SOC modeling in LIBs: the multilayer perceptron (MLP), long short-term memory (LSTM), and the nonlinear autoregressive with exogenous input (NARX) neural network architectures. These models were tested using an experimental dataset with multiple input variables, including electrochemical impedance spectroscopy (EIS) data, voltage, and capacity readings for commercial LIB cells. Results indicate that MLP and LSTM are more adaptable with a smaller training dataset (14 samples), while the NARX model required more than 34 out of 67 samples to achieve reasonable accuracy. Additionally, the NARX model is more sensitive to changes in the learning rate (α) and exhibits larger output error deviations. The MLP and LSTM models consistently performed well across various hidden layer sizes, showing no upper bound constraints, whereas the NARX model’s performance deteriorated with certain hidden layer configurations.</p>
Metabolomics data associated with "Glial swip-10 controls systemic mitochondrial function, oxidative stress, and neuronal viability via copper ion homeostasis"
<p>Raw feature tables used for metabolomic analysis of the <em>Caenorhabditis elegans</em> mutant <em>swip-10</em>. The data were generated using liquid chromatography coupled high-resolution mass spectrometry. Two different columns were used: HILIC (+ ESI) and C18 (-ESI), coupled to a Thermo Q-Exactive Orbitrap mass spectrometer. The feature tables were generated using open-source peak peaking and alignment R packages: apLCMS and xMAanalyzer. See more details in the associated manuscript.</p>
Data of the publication Hot ion implantation to create dense NV center ensembles in diamond
<p>Data of the publication published under the reference: M.W.<em> </em>Ngambeu Ngambou, Appl. Phys. Lett. 124, 134002 (2024).</p>
A Modified Doyle-Fuller-Newman Model Enables the Macroscale Physical Simulation of Dual-ion Batteries - Dataset and Software
<p>This dataset contains:</p> <p>- all the raw cycling data of the three-electrode cell used to gather the experimental data for the model validation (VMP data, exported with EC-LAB);<br>- the specific, processed data used in the model validation step (0.2C discharge, 5C discharge, EIS data);<br>- the COMSOL dual-ion battery model (version 6.0). IMPORTANT: activate the "Electric potential at the positive electrode current collector (only for EIS)" boundary condition when simulating impedance spectroscopy, and deactivate it when simulating charge/discharge curves; the charge-discharge profile can be modified by changing the duration of the test, the C-rate, and the conditions set in the "Events" section.</p> <p>Update: Fixed the model to work also in the 6.2 version of COMSOL (Substituted Dleff with Dleffxx in the modified weak expression of the cathode mass conservation equation). Download the new version!</p>
IODP Expedition 398 Ion chromatography
Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
IODP Expedition 355 Ion chromatography
Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
The conception of a solvated electron: X-ray-induced attosecond electron dynamics of aqueous ions - data
<p>Data set pertaining to the article "Attosecond formation of charge-transfer-to-solvent states of aqueous ions probed using the core-hole-clock technique", published in <a href="https://doi.org/10.1038/s41467-024-52740-5" target="_blank" rel="noopener">Nature Communications</a>.</p> <p>Here we describe the time-evolution of core level excited electronic states of metal ions in aqueous solution on an ultrashort time scale. Extensive simulations towards this project were carried out. Simulated data include geometries for solvated metal ion complexes and their X-Ray absorption spectra. Experimental data were recorded by photoemission spectroscopy from a liquid jet source using synchrotron radiation. </p> <p>Files with extension .h5 are hdf5-files structured according to the NeXus standard v2022.07, see<br>https://www.nexusformat.org/<br>https://fairmat-experimental.github.io/nexus-fairmat-proposal/50433d9039b3f33299bab338998acb5335cd8951/mpes-structure.html<br>NeXus data files can be opened with any software capable of opening hdf5-structured files. The following viewers are adapted to the specifics of the NeXus data format:<br>* nexpy (distributed with python)<br>* https://h5web.panosc.eu/h5wasm (web-based NeXus viewer maintained by the European Photon and Neutron Open Science Cloud-consortium)</p> <p>In each NeXus file-entry, two types of spectra are shown:<br>1. Sweep-averaged spectra, integrated over the non-dispersive coordinate of our detector ('data') if applicable.<br>2. As-measured data ('raw').</p> <p>Files with extension .csv or .txt are comma-separated ascii-files, designed to be opened with a spreadsheet programme.</p> <p><br>The following files are provided:</p> <table> <tbody> <tr> <td>Filename</td> <td>Content</td> </tr> <tr> <td> </td> <td>Experimental Data:</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/na_mg_al_1s-resonance_cfs.h5/content" target="_blank" rel="noopener noreferrer">na_mg_al_1s-resonance_cfs.h5</a></td> <td>Series of experimental photoemission spectra recorded over the 1s - val resonances, for NaCl, MgCl2 andAlCl3 metallic salt solutions</td> </tr> <tr> <td><span><a href="https://zenodo.org/api/records/13862194/draft/files/SI-Fig6.zip/content" target="_blank" rel="noopener noreferrer">SI-Fig6.zip</a></span></td> <td>Ascii representation of the data and fit curves used to determine in 1s lifetime broadening, shown in Fig. 6 of the Supplementary Information.</td> </tr> <tr> <td> </td> <td>Theoretical Data:</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.geometries.zip/content" target="_blank" rel="noopener noreferrer">th.geometries.zip</a></td> <td>Cartesian coordinates of the constituents of metal-water clusters containing 6 water molecules and containing 18 water molecules. Unit of length is Ångström.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.excitation_energy.zip/content" target="_blank" rel="noopener noreferrer">th.excitation_energy.zip</a></td> <td>Excitation energies for metal-water clusters containing 6 water molecules and containing 18 water molecule, at various levels of approximation. tddft-src2: at the SRC2-R2 level with a cc-pCVTZ basis set on the cations and a cc-pVTZ basis set on the water molecules in a polarizable continuum; eomccsd: at the EOM-EE-CCSD level with a cc-pCVTZ basis set on the cations and a cc-pVTZ basis set on the water molecules. For the purpose of spectra construction in Figure 1, each calculated spectral point was broadened by a phenomenological value of 0.2 eV. Energies are in eV, transition dipole moment components in e*bohr.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.spektrum.pade.zip/content" target="_blank" rel="noopener noreferrer">th.spektrum.pade.zip</a></td> <td>Excitation energies for metal-water clusters containing 6 water molecules calculated at the RT-TDDFT level with a cc-pVTZ basis set. For each cation, 3 trajectories were run. Energies are in eV.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/th.excitation_energy.zip/content" target="_blank" rel="noopener noreferrer">th.excitation_energy.zip</a></td> <td>Exciton analysis of the wave function (RMS electron size) for a set of 50 geometries of clusters containing 6 water molecules (small) or 18 water molecules (large) calculated at the SRC2-R2/cc-pVTZ level. The oscillator strengths are in a.u., the size of the electron is in Ångström.</td> </tr> <tr> <td><a href="../api/records/10600583/draft/files/description_zenodo.pdf/content" target="_blank" rel="noopener noreferrer">description_zenodo.pdf</a></td> <td>More detailed description of the theoretical data sets.</td> </tr> </tbody> </table> <p> </p> <p>Version history<br>v2: fixed incorrect choice of data file for Na scan. Data for lifetime-figure in SI added.<br>v1: initial upload</p> <p>If you use part or all of these data in your scientific work we kindly ask you to provide us a copy. Contact: Uwe Hergenhahn, uhe@fhi.mpg.de .</p>
IODP Expedition 356 Ion chromatography
Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
Shape, membrane morphology, and morphodynamic response of metabolically active human mitochondria revealed by scanning ion conductance microscopy
<p>This contains the hole data set as well as all analysed data for the paper published in Beilstein Journal of Nanotechnology "Shape, membrane morphology and morphodynamic response of metabolically active human mitochondria revealed by Scanning Ion Conductance Microscopy".</p> <p>Most of the images were taken with the SICM. These uncompressed tiff files can be read and processed with the Gwyddion software or other scanning probe image processing software.</p>
IODP Expedition 353 Ion chromatography
Cation and anion concentration in interstitial water samples was measured by ion chromatography using a conductivity detector. Cation analytes include calcium, magnesium, potassium, and sodium. Anion analytes include chloride, sulfate, and bromide.
The Role of Alkyl Chain Length and Halide Counter Ion in Layered Dion-Jacobson Perovskites with Aromatic Spacers
<p>Structural, optoelectronic and supplementary characterization data for “The Role of Alkyl Chain Length and Halide Counter Ion in Layered Dion-Jacobson Perovskites with Aromatic Spacers”, doi.org/10.1021/acs.jpclett.1c02937.</p> <ul> <li>Figure 2.zip: <ul> <li>2a and 2b (XRD patterns) in *.csv files.</li> <li>2c and 2d raw and processed solid state NMR spectra of (PDEA)PbI4 and (PDEA)I2, comprising 207Pb, 207Pb->1H HETCOR. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> <li>2e-h GIWAXS images in *.tiff format</li> </ul> </li> <li>Figure 3.zip: <ul> <li>3a and 3c (UV-Vis absorption spectra) in *.csv format</li> <li>3b and 3d (PL emission) in *.xlsx data</li> </ul> </li> <li>Figure 4.zip: <ul> <li>Transient absorption spectroscopy data in *.xlsx format</li> </ul> </li> <li>Figure 5.zip: <ul> <li>5a-f (XRD patterns) in *.csv data</li> </ul> </li> </ul> <ul> <li>Figure S2.zip: <ul> <li>S2a-b (UV-Vis spectra) in *.csv data</li> <li>S2c-d (XRD patterns) in *.csv data</li> </ul> </li> <li>Figure S3.zip: <ul> <li>GIWAXS images in *.tiff format</li> </ul> </li> <li>Figure S4.zip: <ul> <li>S4 Raw and processed solid state NMR spectra of 1H->13C cross polarisation spectra. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> </ul> </li> <li>Figure S5-S6.zip: <ul> <li>Raw and processed solution NMR spectra of (PDEA)I2 and (PDEA)Br2 in deuterated DMSO, comprising 1H and 13C 1D and 2D HSQC/HMBC spectra. NMR data is given in the JCAMP-DX 6.0 format including acquisition and processing parameters. The TopSpin software is recommended as this was used to record the NMR data.</li> </ul> </li> <li>Figure S7.zip: <ul> <li>PL emission data in *.xlsx format</li> </ul> </li> <li>Figure S8.zip: <ul> <li>Transient absorption spectroscopy data in *.xlsx format</li> </ul> </li> <li>Figure S9.zip: <ul> <li>S9a-f optical absorption data in *.csv format</li> </ul> </li> <li>Figure S10.zip: <ul> <li>PL emission data in *.xlsx format</li> </ul> </li> <li>Figure S11.zip: <ul> <li>*.png image of contact angle measurements</li> </ul> </li> </ul>
Nanobeam electron diffraction dataset from ion irradiated DIN 1.4970 austenitic stainless steel with G-phase precipitates collected on pixelated TVIPS detector
<p><strong>Summary</strong></p> <p>This is a 4D scanning transmission electron microscopy (4D STEM) dataset collected in near-parallel beam mode (NBED) from a sample of ion irradiated austenitic (FCC) stainless steel of the DIN 1.4970 specification, collected on a high quality pixelated detector inside a transmission electron microscope (TEM). The dataset is represented by a 4D array, comprising a 2D grid of scan points, with each scan point mapping to an electron diffraction spot pattern. From this kind of dataset it is possible to derive local crystal orientations and strains. The dataset is in the .hspy format, the native hdf5 format of the <a href="https://zenodo.org/record/5082777">HyperSpy</a> library.</p> <p>The main features in this dataset are:</p> <ul> <li>a single crystal of the matrix is sampled, close to a 110 zone axis</li> <li>inside the matrix, irradiation induced G-phase precipitates of 10-20 nm in size can be found which contribute weakly to some of the diffraction patterns. From these patterns it is possible to derive the orientation relationship of the precipitates with respect to the matrix.</li> <li>irradiation also resulted in the formation of faulted frank loops, which also show up in some diffraction patterns.</li> </ul> <p><strong>Material and sample preparation</strong></p> <p>The sample was prepared from DIN 1.4970 steel (composition by weight: 15% Ni, 15% Cr, 1.8% Mn, 1.2% Mo, 0.5% Ti, 0.5% Si, 0.1% C, Fe Bal.) with the intended application of nuclear fuel cladding material. The material was originally in the shape of thin walled tubes and cold worked to 24% (measured by cross sectional area reduction). The material was aged for 2 hours at 800 °C. It was then irradiated to 40 dpa surface damage as calculated using the SRIM program and the Kinchin and Pease model with displacement energy of 40 eV, using 4.5 MeV Fe<sup>2+</sup> ions with a flux of arround 9x10<sup>11</sup> ions.s<sup>-1</sup>.cm<sup>-2</sup>. The irradiation was performed at 600 °C. Full details on the material, irradiation conditions, and context can be found in:</p> <p>Cautaerts, N., Delville, R., Stergar, E., Pakarinen, J., Verwerft, M., Yang, Y., Hofer, C., Schnitzer, R., Lamm, S., Felfer, P., & Schryvers, D. (2020). The role of Ti and TiC nanoprecipitates in radiation resistant austenitic steel : A nanoscale study. <em>Acta Materialia</em>, <em>197</em>, 184–197. https://doi.org/10.1016/j.actamat.2020.07.022</p> <p>A TEM sample was prepared by regular focused ion beam (FIB) lift-out techniques in a Ga-ion FIB. Additional details on the dataset can be found in the paper and supplementary materials of</p> <p>Cautaerts, N., Rauch, E. F., Jeong, J., Dehm, G., & Liebscher, C. H. (2021). Investigation of the orientation relationship between nano-sized G-phase precipitates and austenite with scanning nano-beam electron diffraction using a pixelated detector. <em>Scripta Materialia</em>, <em>201</em>, 113930. https://doi.org/10.1016/j.scriptamat.2021.113930</p> <p><strong>Microscopy parameters and data collection</strong></p> <p>NBED was performed in a JEM-2200FS TEM (JEOL) operating at 200 kV. The microscope was operated in nanobeam diffraction mode with the smallest spot size (Spot 5). The probe diameter was ~ 1 nm with a semi-convergence angle of ~0.5 mrad. Data was collected on a TemCam-XF416 pixelated CMOS detector (TVIPS). The camera length as indicated in the operating software was 80 cm, and collected images were 1024 by 1024 in size (hardware binning of 4). The dataset comprises 260x200 scan points and pixel depth is 2 bytes (unsigned 16 bit integers).</p> <p><strong>Data processing</strong></p> <p>The raw data was collected in the .tvips format. The original dataset was about 50 GB in size and can be shared upon request to the author. This dataset was converted to the .hspy format using the <a href="https://zenodo.org/record/4288857">TVIPSconverter</a> tool. In the conversion, the images were binned by an additional factor of 4 to a final size of 256x256. A median filter was also applied to the data to remove pixel noise.</p> <p><strong>Data characteristics</strong></p> <p>Scan shape: 260 x 200 pixels</p> <p>Image shape: 256 x 256 pixels</p> <p>Pixel dtype: uint16</p> <p>Scan pixel size: about 1 nm, scan dimensions were never calibrated</p> <p>Image pixel size: 0.01261 Angstrom<sup>-1</sup> / pixel</p> <p>Note that scale factors are not stored in the dataset! The dataset can be read with HyperSpy using the load function (please see the HyperSpy documentation) and the pixel scale can be set through the axes manager. It is highly recommended to have a working installation of <a href="https://zenodo.org/record/5075520">Pyxem</a> as well to process the data.</p> <p><strong>Additional notes</strong></p> <p>Data was collected with the TVIPS scan generator which can be quite buggy. The scan lines show "jitters" due to the unstable snake-scan pattern, hysteresis and instability.</p>
Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction"
<p>This dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations, bandstructures, phonon calculations, GIPAW-NMR calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador).</p> <p><strong>Contents:</strong></p> <ul> <li>"convergence_tests.zip": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system</li> <li>"phonons.zip": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram</li> <li>"polish.zip": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures.</li> <li>"searches.zip": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system.</li> <li>"bulk_modulus.zip" contains CASTEP output files for calculation of E(V) curves for low-lying KP phases with different xc-functionals.</li> <li>"nmr.zip" contains CASTEP output files for GIPAW-NMR calculations of chemical shifts for low-lying K-Sn-P phases.</li> <li>"spectral.zip" contains CASTEP and OptaDOS output files for projected bandstructure and DOS calculations of low-lying K-Sn-P phases.</li> <li>"digests.zip" contains JSON representations of all the structures from polish and searches, broken down into K-P and K-Sn-P specific digests.</li> </ul>
Dataset for Link between Anisotropic Electrochemistry and Surface Transformations at Single Crystal Silicon Electrodes: Implications for Lithium Ion Batteries
<p>This dataset provides the raw data to the manuscript</p> <p>"<strong>Link between Anisotropic Electrochemistry and Surface Transformations at Single Crystal Silicon Electrodes: Implications for Lithium Ion Batteries"</strong></p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Electrochemical measurements as cyclic voltammetry using scanning electrochemical cell microscopy for three different Si crystallographic orientations (100, 110, 311) in 1 M LiPF6 in ethylene carbonate - ethyl methyl carbonate ("SECCM/")</li> <li>Scanning electron microscopy and transmission electron microscopy imaging of pristine and cycled samples ("Images/")</li> </ul>
Lithium-Ion Batteries in Automated Guided Vehicles (AGVs) dataset for article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"
<p>Dataset of aggregated information related to discharge-only cycles of lithium-ion battery packs employed in Automated Guided Vehicle systems.</p> <p>The dataset supports the study in conference article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"</p>
Fast Method for Calibrated Self-Discharge Measurement of Lithium-Ion Batteries including Temperature Effects and Comparison to Modelling
<p>Self-discharge data related to the manuscript entitled: 'Fast Method for Calibrated Self-Discharge Measurement of Lithium-Ion Batteries including Temperature Effects and Comparison to Modelling', submitted to Energy Reports on 26 April 2023.</p>
Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)
<p>Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided.</p> <p>It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC.</p> <p>Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100.</p> <p>Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design.</p> <p>For each cell, data includes the maximum temperature measured during thermal abuse at the surface on the center of the cell. Additionally, the mean value and standard deviation for each cell type and state of charge is provided.</p> <p>This data is supporting this article in the journal Batteries:</p> <p><a href="https://doi.org/10.3390/batteries9050237">https://doi.org/10.3390/batteries9050237</a></p> <p>Additional supporting material to this article are the exothermal data for thermal abuse, that are published here:</p> <p><a href="https://doi.org/10.5281/zenodo.7707929">https://doi.org/10.5281/zenodo.7707929</a></p> <p> </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.