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911 results for “SI”
Dataset for "Mo-Si alloys studied by atomistic computer simulations using a novel machine-learning interatomic potential: Thermodynamics and interface phenomena"
<p>This dataset was used to fit a general purpose machine-learning interatomic potential for Mo-Si alloys based on the Atomic Cluster Expansion (ACE) formalism. It supports the paper "Mo-Si alloys studied by atomistic computer simulations using a novel machine-learning interatomic potential: Thermodynamics and interface phenomena".</p>
SI Movies for "Dynamics of dominance: maneuvers, contests, and assessment in the posture-scale movements of interacting zebrafish"
<p>This is a repository of the Supplementary Movies from the paper "Dynamics of dominance: maneuvers, contests, and assessment in the posture-scale movements of interacting zebrafish".</p><h3>SM1</h3><p><br>This movie is a visualization of the tracking pipeline output, namely the 3D bodypoint positions of the two zebrafish over time. In this animation, we show the 3D locations of the head (circle), pec (square) and tail (cross) bodypoints of the winner (red) and loser (blue) throughout an entire experiment, the same experiment shown in Fig3(A) of the paper. The movie is downsampled from the 100fps recordings to 25fps to reduce file size. (1hr 23min 29sec)</p><h3>Notes on SM2-6</h3><p>In these movies we show two panels. The left panel shows an animation of the contestant 3D bodypoint positions. The right panel shows the XZ camera view of the tank with the XZ image coordinates of bodypoints drawn over the fish. The movies run at 100fps and are all 2 minutes long. The movies are each centered at a different time during the FishTank20200130_153857 recording, with one minute before, and one minute after, the chosen centered point.</p><h3>SM2</h3><p>This video is centred at the frame identified as the start of the first fight bout.</p><h3>SM3</h3><p>This video is centered at the frame identified as the middle of the first fight bout.</p><h3>SM4</h3><p>This video is centered at the frame identified as the end of the first fight bout.</p><h3>SM5</h3><p>This video is centered at the frame identified as the start of the second fight bout.</p><h3>SM6</h3><p>This video is centered at the frame identified as the end of the second fight bout.</p>
33 pol (Si-o-se-pol)
Si-o-se-pol was built between 1599 and 1602, under the reign of Abbas I, the fifth Safavid king (shah) of Iran. It was constructed under the supervision of Allahverdi Khan Undiladze, the commander-in-chief of the armies, who was of Georgian origin, and was also named after him. The bridge served particularly as a connection between the mansions of the elite, as well as a link to the city's vital Armenian neighborhood of New Julfa. Source: Objaverse 1.0 / Sketchfab
Si Buta dari Gua Hantu
barda si buta dari gua hantu, barda is a main character in si buta dari gua hantu. indonesian local hero Source: Objaverse 1.0 / Sketchfab
Ox Statue (Kek Lok Si Buddhist Temple, Penang)
A statue of the Chinese Zodiac Ox. Carved Out of Granodiorite. The Statue resides at the Kek Lok Si Buddhist Temple in Penang. It is located on the upper terrace of the temple, near the 30m tall statue of Kuan Yin. Just don't look at the horrible texture on its belly :P http://kekloksitemple.com/ Source: Objaverse 1.0 / Sketchfab
Waveguide coupled III-V photodiodes monolithically integrated on Si
<p>This dataset supports the study "Waveguide coupled III-V photodiodes monolithically integrated on Si", <a href="https://arxiv.org/ftp/arxiv/papers/2106/2106.00620.pdf">https://arxiv.org/ftp/arxiv/papers/2106/2106.00620</a>. The material here represents the raw data that measured in the experiments without further processing, which was subsequently performed using Origin Graphing.</p>
Classification results extracted by the baseline RFSS+SI+GLCM and U-Net models.
<p>Selected indicative cases demonstrate (A) S2_12-12-20_16PCC_6, (B) S2_22-12-20_18QYF_0, (C) S2_27-1-19_16QED_14 and (D) S2_14-9-18_16PCC_13 patches on test set.</p>
High-definition electron diffraction patterns and their indexation results of a single crystal Si wafer
<p>This dataset of 1200 high-resolution (1140×1600) electron diffraction patterns are acquired from an unstrained single crystal Si wafer of (100) surface. The nominal sample tilt angle is 70°, and the step size 50µm. The indexation results, in format 'mat' of Matlab, by IDIC-EBSD with uniform and non-uniform energy levels are also provided. For each diffraction pattern, 6 parameters are stocked, i.e. the Euler angle triplet (expressed in radians and with reference to the EBSD detector) and the coordinates of the projection center.</p> <p>This dataset was discussed in a published paper (https://doi.org/10.1016/j.matchar.2022.111909).</p>
Cast Al-Si-Mg alloy APT data
<p>Data from publication. Will be opened when publication is online (hopefully 2022).</p> <p>Atom probe tomography data.</p>
FI_WD20K & SI_WD20K: Datasets For Hyper-Relational Inductive Link Prediction
<p>The datasets correspond to the work presented in <a href="https://arxiv.org/abs/2107.04894">"Improving Inductive Link Prediction Using Hyper-Relational Facts"</a>.</p> <p> </p> <p> </p>
Accompanying dataset to ACS Appl. Nano Mater. 2022, 5, 4, 5508–5515 : Nanoscale Mapping of Light Emission in Nanospade-Based InGaAs Quantum Wells Integrated on Si(100): Implications for Dual Light-Emitting Devices
<p>Accompanying dataset containing the raw data and analysis contained in the main publication. This comprises the fitted CL-SEM dataset, the CL-STEM dataset, the CL-SEM presented in the SI and the STEM-EDX linescans.</p>
La2NiO4+δ-Based Memristive Devices Integrated on Si-Based Substrates
<p>Data for publication: La<sub>2</sub>NiO<sub>4+δ</sub>-Based Memristive Devices Integrated on Si-Based Substrates</p>
EXCEED-DMv1.0.0: Si and Ge Electronic Configurations
<p>This dataset contains the electronic configuration files for Si and Ge targets for use with EXCEED-DMv1.0.0. These electronic configuration files were used to compute the DM-electron interaction rates in the EXCEED-DM user manual: <a href="https://arxiv.org/abs/2210.14917">[2210.14917] EXCEED-DM: Extended Calculation of Electronic Excitations for Direct Detection of Dark Matter (arxiv.org)</a>. A description of the data in the files is given on the documentation website: https://tanner-trickle.github.io/EXCEED-DM/. We repeat it below for convenience (note that :math:, :cite: environments are rendered in the documentation).</p> <p> </p> <p>- <strong>File:</strong> <strong>Si/scatter/Si_scatter_elec_config.hdf5</strong><br> - <strong>Description:</strong> <br> - Electronic states assumed to be spin-degenerate, i.e., one-component wave functions. Used for binned scattering rate and dielectric calculations.<br> - <strong>Initial States: </strong><br> - Modelled with a combination of <strong>STO basis</strong> states and <strong>PW basis</strong> states. <strong>STO basis</strong> is used for the low energy, "core" states, while <strong>PW basis</strong> is used for the valence states.<br> - <strong>STO basis</strong><br> - 10 states (1 :math:`\mathbf{k}` point (:math:`\mathbf{k} = 0`), 10 bands). States are the electrons in the :math:`1s \rightarrow 2p` orbitals, for both Si in the unit cell. The sum over lattice vectors, :math:`\mathbf{r}` extends to cells :math:`\pm 1` away from the center, i.e., includes 27 cells in total. Each state is sampled on a :math:`128 \times 128 \times 128` uniform grid in the unit cell. STO basis coefficients, e.g., :math:`C_{j, l, n, \kappa}` are taken from the tabulated values `here <https://linkinghub.elsevier.com/retrieve/pii/S0092640X8371003X>`_. Energy of each state is taken from the Materials Project database, material ID mp-149.<br> - Notes: The reason for the small number of :math:`\mathbf{k}` points is due to runtime considerations, one has to choose between a larger sampling grid, i.e., sample the high momentum contributions in the unit cell, or more :math:`\mathbf{k}` points. Since the main features of these states are at high momentum, this is prioritized.<br> - <strong>PW basis</strong><br> - 4000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 4 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`-11.814 \, \text{eV}`.</p> <p><br> - <strong>Final States:</strong><br> - Modelled with a combination of **PW basis** and **single PW basis** states. **PW basis** is used for the lower energy "conduction" bands, **single PW basis** is used for higher energy states being approximated as "free".<br> - <strong>PW basis</strong><br> - 60000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 60 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`1.11 \, \text{eV}`. All bands which have an :math:`E_{i \mathbf{k}} < 60 \, \text{eV}`, for any :math:`\mathbf{k}`, are included.<br> - <strong>single PW basis</strong><br> - 40000 states (:math:`10 \times 10 \times 400` grid in :math:`(\theta, \phi, p)` space). Uniformly sampled on the sphere in :math:`(\theta, \phi)`, logarithmically sampled in :math:`E = p^2/2m_e` between :math:`E_\text{min} = 60 \, \text{eV}` and :math:`E_\text{max} = 400 \, \text{eV}`.</p> <p><br> - <strong>File: Si/abs/Si_abs_elec_config.hdf5</strong><br> - <strong>Description: </strong><br> - Electronic states assumed to be spin-degenerate, i.e., one-component wave functions. Used for absorption rate calculations.<br> - <strong>Initial States: </strong><br> - Modelled with a combination of <strong>STO basis</strong> states and <strong>PW basis</strong> states. <strong>STO basis</strong> is used for the low energy, "core" states, while <strong>PW basis</strong> is used for the valence states.<br> - <strong>STO basis</strong><br> - 10000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 10 bands). States are the electrons in the :math:`1s \rightarrow 2p` orbitals, for both Si in the unit cell. :math:`\mathbf{k}` grid is uniformly sampled over the 1BZ. The sum over lattice vectors, :math:`\mathbf{r}` extends to cells :math:`\pm 1` away from the center, i.e., includes 27 cells in total. Each state is sampled on a :math:`128 \times 128 \times 128` uniform grid in the unit cell. STO basis coefficients, e.g., :math:`C_{j, l, n, \kappa}` are taken from the tabulated values `here <https://linkinghub.elsevier.com/retrieve/pii/S0092640X8371003X>`_. Energy of each state is taken from the Materials Project database, material ID mp-149.<br> - Notes: A larger number of :math:`\mathbf{k}` vectors can, and must be, used here is because transitions must be vertical. This limits the number of transitions, relative to a scattering rate calculation.<br> - <strong>PW basis</strong><br> - 4000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 4 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`-11.814 \, \text{eV}`.</p> <p><br> - <strong>Final States:</strong><br> - Modelled with a combination of <strong>PW basis</strong> and<strong> single PW basis</strong> states. <strong>PW basis</strong> is used for the lower energy "conduction" bands, <strong>single PW basis</strong> is used for higher energy states being approximated as "free".<br> - <strong>PW basis</strong><br> - 60000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 60 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`1.11 \, \text{eV}`. All bands which have an :math:`E_{i \mathbf{k}} < 60 \, \text{eV}`, for any :math:`\mathbf{k}`, are included.<br> - <strong>single PW basis</strong><br> - 2152000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` grid). :math:`\mathbf{k}` points are sampled uniformly in the 1BZ. For each :math:`\mathbf{k}`, all :math:`\mathbf{G}` were included such that :math:`60 \, \text{eV} < |\mathbf{k} + \mathbf{G}|^2/2m_e < \text{keV}`. Different :math:`\mathbf{G}` correspond to different bands when the parabolic dispersion relation gets folded in to the 1BZ.</p> <p> </p> <p><br> - <strong>File: Ge/scatter/Ge_scatter_elec_config.hdf5</strong><br> - <strong>Description: </strong><br> - Electronic states assumed to be spin-degenerate, i.e., one-component wave functions. Used for binned scattering rate and dielectric calculations.<br> - <strong>Initial States: </strong><br> - Modelled with a combination of <strong>STO basis</strong> states and <strong>PW basis</strong> states. <strong>STO basis</strong> is used for the low energy, "core" states, while <strong>PW basis</strong> is used for the valence states.<br> - <strong>STO basis</strong><br> - 28 states (1 :math:`\mathbf{k}` point (:math:`\mathbf{k} = 0`), 28 bands). States are the electrons in the :math:`1s \rightarrow 3d` orbitals, for both Ge in the unit cell. The sum over lattice vectors, :math:`\mathbf{r}` extends to cells :math:`\pm 1` away from the center, i.e., includes 27 cells in total. Each state is sampled on a :math:`128 \times 128 \times 128` uniform grid in the unit cell. STO basis coefficients, e.g., :math:`C_{j, l, n, \kappa}` are taken from the tabulated values `here <https://linkinghub.elsevier.com/retrieve/pii/S0092640X8371003X>`_. Energy of each state is taken from the Materials Project database, material ID mp-32.<br> - Notes: The reason for the small number of :math:`\mathbf{k}` points is due to runtime considerations, one has to choose between a larger sampling grid, i.e., sample the high momentum contributions in the unit cell, or more :math:`\mathbf{k}` points. Since the main features of these states are at high momentum, this is prioritized.<br> - <strong>PW basis</strong><br> - 4000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 4 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`-11.814 \, \text{eV}`.</p> <p><br> - <strong>Final States:</strong><br> - Modelled with a combination of <strong>PW basis</strong> and<strong> single PW basis</strong> states. <strong>PW basis</strong> is used for the lower energy "conduction" bands, <strong>single PW basis</strong> is used for higher energy states being approximated as "free".<br> - <strong>PW basis</strong><br> - 82000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 82 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`0.67 \, \text{eV}`. All bands which have an :math:`E_{i \mathbf{k}} < 60 \, \text{eV}`, for any :math:`\mathbf{k}`, are included.<br> - <strong>single PW basis</strong><br> - 40000 states (:math:`10 \times 10 \times 400` grid in :math:`(\theta, \phi, p)` space). Uniformly sampled on the sphere in :math:`(\theta, \phi)`, logarithmically sampled in :math:`E = p^2/2m_e` between :math:`E_\text{min} = 60 \, \text{eV}` and :math:`E_\text{max} = 400 \, \text{eV}`.</p> <p><br> - <strong>File: Ge/abs/Ge_abs_elec_config.hdf5</strong><br> - <strong>Description: </strong><br> - Electronic states assumed to be spin-degenerate, i.e., one-component wave functions. Used for absorption rate calculations.<br> - <strong>Initial States: </strong></p> <p> - Modelled with a combination of <strong>STO basis</strong> states and <strong>PW basis</strong> states. <strong>STO basis</strong> is used for the low energy, "core" states, while <strong>PW basis</strong> is used for the valence states.<br> - <strong>STO basis</strong><br> - 28000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 28 bands). States are the electrons in the :math:`1s \rightarrow 3d` orbitals, for both Ge in the unit cell. :math:`\mathbf{k}` grid is uniformly sampled over the 1BZ. The sum over lattice vectors, :math:`\mathbf{r}` extends to cells :math:`\pm 1` away from the center, i.e., includes 27 cells in total. Each state is sampled on a :math:`128 \times 128 \times 128` uniform grid in the unit cell. STO basis coefficients, e.g., :math:`C_{j, l, n, \kappa}` are taken from the tabulated values `here <https://linkinghub.elsevier.com/retrieve/pii/S0092640X8371003X>`_. Energy of each state is taken from the Materials Project database, material ID mp-32.<br> - Notes: A larger number of :math:`\mathbf{k}` vectors can, and must be, used here is because transitions must be vertical. This limits the number of transitions, relative to a scattering rate calculation.<br> - <strong>PW basis</strong><br> - 4000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 4 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`-11.814 \, \text{eV}`.</p> <p> - <strong>Final States:</strong></p> <p> - Modelled with a combination of <strong>PW basis</strong> and<strong> single PW basis</strong> states. <strong>PW basis</strong> is used for the lower energy "conduction" bands, <strong>single PW basis</strong> is used for higher energy states being approximated as "free".<br> - <strong>PW basis</strong><br> - 82000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` points, 82 bands). Computed with DFT (VASP), see Ref. :cite:`Griffin:2021znd` for more details. Uniform sampling in the 1BZ. Each state was expanded to an :math:`E_\text{cut} = \text{keV}` and then all-electron reconstructed with :code:`pawpyseed` to :math:`E_\text{cut} = 2 \, \text{keV}`. Lowest energy state at :math:`0.67 \, \text{eV}`. All bands which have an :math:`E_{i \mathbf{k}} < 60 \, \text{eV}`, for any :math:`\mathbf{k}`, are included.<br> - <strong>single PW basis</strong><br> - 2586000 states (:math:`10 \times 10 \times 10 \, \mathbf{k}` grid). :math:`\mathbf{k}` points are sampled uniformly in the 1BZ. For each :math:`\mathbf{k}`, all :math:`\mathbf{G}` were included such that :math:`60 \, \text{eV} < |\mathbf{k} + \mathbf{G}|^2/2m_e < \text{keV}`. Different :math:`\mathbf{G}` correspond to different bands when the parabolic dispersion relation gets folded in to the 1BZ.</p> <p> </p>
EXCEED-DMv1.0.0: User Manual Results for Si and Ge
<p>DM-electron interaction rates in Si and Ge targets used for the user manual: <a href="https://arxiv.org/abs/2210.14917">[2210.14917] EXCEED-DM: Extended Calculation of Electronic Excitations for Direct Detection of Dark Matter (arxiv.org)</a>. All plots in the user manual can be reproduced from the data here. File names which only differ by "_<number>" are the same calculation, split for different DM mass points.</p> <p> </p> <p>Calculations included/folder structure is:</p> <p>- (Si/Ge)/ - Calculations for Si/Ge targets.</p> <p> - scatter/ - Binned scattering rate calculations.</p> <p> - dark_photon/ - Kinetically mixed dark photon.</p> <p> - screening/ - Different approximations about f_scr, the screening factor</p> <p> - no_scr/ - No screening</p> <p> - ana_scr/ - Analytic screening</p> <p> - num_scr/ - Numeric screening</p> <p> - annual_modulation - Calculations for the annual modulation of the DM-electron scattering rate, screened with numerically computed dielectric.</p> <p> - abs/ - Absorption rate calculations</p> <p> - vector/ - vector DM</p> <p> - scalar/ - scalar DM</p> <p> - ps/ - pseudoscalar DM</p> <p> - dielectric/ - Numerically computed dielectric</p>
Substorm Dataset (SI Dataset 1 - Substorm Identification With The WINDMI Magnetosphere - Ionosphere Nonlinear Physics Model)
<p>Dataset information on substorm onset times, magnetic local times, magnetic latitudes, geographic latitudes, and longitudes, along with detection techniques and their abbreviations (utilized by authors Forsyth, Frey, Liou, Newell, and Ohtani). Columns denote the presence (1) or absence (0) of substorms detected by each technique. Time differences between substorms are recorded. Additionally, it includes counts of techniques detecting substorm onsets, WINDMI model trigger occurrences based on field-aligned current crossing a critical threshold, Geotail current with median and 70th percentile Ic, where Ic doubles as the threshold for WINDMI substorm detection, and maximum field-aligned current during substorm onsets.</p>
DMM fits for SI figure 2
<p>Input file to replicate construction of supplemental figure 2. Results of a DMM fit to a 16S microbiome collection derived from pulmonary sputum samples collected by pwCF. </p>
Dataset Analisis Dampak AI Terhadap Mahasiswa SI ITS
<p>Dataset yang digunakan pada paper Analisis Pengaruh Artificial Intelligence (AI) Terhadap Kinerja Akademik Mahasiswa Sistem Informasi ITS</p>
Data for publication: Si metasurface supporting multiple quasi-BICs for degenerate four-wave mixing
Open the record for dataset details and reuse information.
Thermodynamics of alkali feldspar solid solutions with varying Al–Si order: atomistic simulations using a neural network potential - Accompanying Data
<p>This dataset accompanies the manuscript: "Thermodynamics of alkali feldspar solid solutions with varying Al–Si order: atomistic simulations using a neural network potential". It contains:</p> <ul> <li>LAMMPS-data files of the relaxed 8x6x8 systems for the three ordering types across Na-K composition, </li> <li>template input files for the minimization and for the semi grand canonical Monte Carlo + molecular dynamics simulation,</li> <li>the training and testing data with and without the point charge correction,</li> <li>the neural network potential committee and a modified n2p2 source that is necessary for running the special weighted atom centered symmetry functions. </li> </ul> <p>The algorithm to create the Al-Si and Na-K disorder is hosted on <a href="https://github.com/alexgorfer/Alkali-feldspar-disorder-generator">https://github.com/alexgorfer/Alkali-feldspar-disorder-generator</a> instead.</p>
Video #2804 from the wettability tests of Si-3.2B alloy/h-BN and Si-3.2B alloy/Zh-BN composite at temperature up to 1750 C
<p>The <strong>fast-forward video</strong> was compiled based on the images recorded during the wettability test of <strong>Si-3.2B alloy/h-BN (HeBoSint D100) </strong>(on the left side) and <strong>Si-3.2B alloy/h-BN composite (HeBoSint O120) </strong>(on the right side) couples at temperature <strong>up to 1750<sup>o</sup>C</strong>. The test was performed at Foundry Research Institute facilities by using an experimental complex that has been designed for investigations of high temperature capillarity phenomena by various testing methods (classical sessile drop, pendant drop, dispensed drop, sandwiched drop, transferred drop, drop sucking, drop pushing, drop smearing or rubbing).</p> <p>A more detailed description of the experimental complex is shown elsewhere:</p> <p>Sobczak N, Nowak R, Radziwill W, Budzioch J, Glenz A, Experimental complex for investigations of high temperature capillarity phenomena, Mater Sci Eng A 495 (2008) 43–49</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.