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102 results for “video recordings”
High-Speed Video Recordings of Wheel-Rail Traction Enhancement Using a Full-Scale Testing Platform - Granular Material Candidates
<p>A database of 14 high-speed video recordings of rail-sanding process using a full-scale testing platform is provided in this data note. The videos are recorded for various case studies, namely different positioning of the sander nozzle aiming at the rail, nip, and wheel with various angles, and different materials used as rail-sand. The particle velocities can be extracted from these high-speed videos using particle image velocimetry software. The spread angle of the particles as they flow out of the nozzle can also be measured with the use of image processing software. The data extracted from these high-speed recording can be utilised for calibration, validation, and verification of experimental and numerical set-ups, as well as for training artificial intelligence models.</p>
Eye image data with gaze labels recorded using custom video-oculography hardware at 120Hz
<p>The repository of eye image data with corresponding gaze labels collected from 40 subjects. The preview contains a collage of random image samples, one per subject. </p> <p>All recorded subjects gave informed consent under an experimental protocol approved by the Institutional Research Board of Texas State University (approval code 2018044) and their data were anonymized prior to public release.</p> <p>The data were recorded using the custom video-oculography (VOG) desktop hardware setup at 120Hz. The full description of this eye-tracking system's capabilities is provided at https://doi.org/10.48550/arXiv.1904.07361.</p> <p>This VOG set contains recordings of the random oblique saccades task. It is comprised of 174 on-screen fixation targets that densely cover the range of ±20.51° horizontally and ±16.7° vertically (in degrees of visual angle). More detail on the presented stimuli can be found at https://doi.org/10.1145/3379156.3391370.</p> <p>The data were also used in Dmytro Katrychuk's Ph.D. thesis "Generating Realistic Eye Images to Evaluate Photosensor Oculography Eye-Tracking for Portable Headsets" (https://hdl.handle.net/10877/19437); with the release for public use in the upcoming publication "An appearance-based gaze estimation as a benchmark for eye image data generation methods" accepted to MDPI Journal of Applied Sciences. </p> <p>Each .zip archive represents a recording from one subject, which includes:</p> <ul> <li>Video of the close eye capture in ".avi" format</li> <li>Calibration data in ".xml" format</li> <li>Gaze data in ".tsv" format</li> <li>On-screen target stimulus position in ".tsv" format</li> </ul> <p>The "src.zip" provides a Python script to unpack each ".avi" video recording to a set of ".png" images. The direct playback of ".avi"s may require special codecs and is not supported. </p> <p>Any additional code will be uploaded to https://github.com/dkatrychuk/psog-eval-diss2023</p> <p>The authors can be contacted at their corresponding emails: Dmytro Katrychuk - d_k139@txstate.edu; Oleg Komogortsev - ok@txstate.edu.</p>
Modelling of excitation propagation on computer models of insoles colonised by fungal mycelium. Videos and potential difference recordings.
<p>We used an artistic image of the mycelium network projected onto a $364 \times 985$ nodes grid. <br> The original image $M=(m_{ij})_{1 \leq j \leq n_i, 1 \leq j \leq n_j}$, $m_{ij} \in \{ r_{ij}, g_{ij}, b_{ij} \}$, where $n_i=364$ and $n_j=985$, and $1 \leq r, g, b \leq 255$, was converted to a conductive matrix $C=(m_{ij})_{1 \leq i,j \leq n}$ derived from the image as follows: $m_{ij}=1$ if $r_{ij}>170$, $g_{ij}>170$ and $b_{ij}<200$; a dilution operation was applied to $C$. </p> <p>FitzHugh-Nagumo (FHN) equations is a qualitative approximation of the Hodgkin-Huxley model of electrical activity of living cells:<br> \begin{eqnarray}<br> \frac{\partial v}{\partial t} & = & c_1 u (u-a) (1-u) - c_2 u v + I + D_u \nabla^2 \\<br> \frac{\partial v}{\partial t} & = & b (u - v),<br> \end{eqnarray}<br> where $u$ is a value of a trans-membrane potential, $v$ a variable accountable for a total slow ionic current, or a recovery variable responsible for a slow negative feedback, $I$ {is} a value of an external stimulation current. The current through intra-cellular spaces is approximated by<br> $D_u \nabla^2$, where $D_u$ is a conductance. The term $D_u \nabla^2 u$ governs a passive spread of the current. The terms $c_2 u (u-a) (1-u)$ and $b (u - v)$ describe the ionic currents. The term $u (u-a) (1-u)$ has two stable fixed points $u=0$ and $u=1$ and one unstable point $u=a$, where $a$ is a threshold of an excitation.</p> <p>We integrated the system using the Euler method with the five-node Laplace operator, a time step $\Delta t=0.015$ and a grid point spacing $\Delta x = 2$, while other parameters were $D_u=1$, $a=0.13$, $b=0.013$, $c_1=0.26$. We controlled excitability of the medium by varying $c_2$ from 0.05 (fully excitable) to 0.015 (non excitable). Boundaries are considered to be impermeable: $\partial u/\partial \mathbf{n}=0$, where $\mathbf{n}$ is a vector normal to the boundary. </p> <p>To record dynamics of excitation in the network, as if in laboratory experiments, we simulated electrodes by calculating a potential $p^t_x$ at an electrode location $x$ as $p_x = \sum_{y: |x-y|<2} (u_x - v_x)$. Configuration of electrodes $1, \cdots, 16$ is shown in Fig.~\ref{fig:mycelium}c. Time-lapse snapshots provided in the paper were recorded at every 100\textsuperscript{th} time step, and we display sites with $u >0.04$; videos and figures were produced by saving a frame of the simulation every 100\textsuperscript{th} step of the numerical integration and assembling the saved frames into the video with a play rate of 30 fps. </p> <p>Insole_01: Excitation started at electrode E2</p> <p>Insole_10: Excitation started at electrode E1</p> <p>Insole_11: Excitation started at electrodes E1 and E2</p> <p> </p>
Thinking about Vector Symbolic Architectures (video recording)
<p>Video recording of the keynote presentation "Thinking about Vector Symbolic Architectures" given on 2023-06-15 at the <a href="https://sites.google.com/ltu.se/midnightvsa/home?authuser=0">Midnight Sun Workshop on Vector Symbolic Architectures</a> in Luleå, Sweden.</p> <p><strong>Abstract</strong></p> <p>Vector Symbolic Architectures are defined in terms of a very small set of operators acting on a vector space. The task of the VSA researcher is to discover the implications that follow from the definition in terms of the systems that can be implemented with VSAs. The VSA definitions are the researcher’s raw materials, but they also need tools to transform those raw materials into useful hypotheses and system designs. One important tool for a researcher is a conceptual framework, which specifies how the researcher thinks about VSAs and relates them to the other things they know. It is the researcher’s mental model of how VSAs work. The primary requirement for a conceptual framework is that it is productive; it should make it easy for the researcher to generate interesting hypotheses and designs. These hypotheses and designs don’t have to be correct, just plausible. Beating them into shape is a different part of the research process. Most VSA research papers contain a statement of the VSA definition. Very few mention the researcher’s conceptual framework. In this talk I will sketch out my conceptual framework - how I think about Vector Symbolic Architectures - in the hope that it might be interesting and useful to other researchers.</p>
Lookout Fire Time-Lapse Video Taken from the Roswell Communication Tower for the Period of Record Aug. 10 - Oct. 23, 2023.
<p>A lightning strike fire started on Saturday, August 5, within the H.J. Andrews Experimental Forest, between the base of Lookout cliff and the ridge dividing Lookout and Mack Creek drainages. As of today, August 7, the fire is 2.5 acres. Two helicopters are traveling between the Blue River reservoir and the fire carrying water. The plan is to keep knocking back the fire until ground crews can get a line around it and contain it. It is burning in steep terrain, in old growth with dense understory, which is making it a challenge for experienced ground crews. In addition to the helicopters, a hotshot crew has been assigned to the fire, most likely starting August 8.</p><p>These images were taken from remote based StarDot and NetCam IP cameras positioned 13 meters up the Roswell Communication tower located in the north east side of the HJ Andrews Experimental Forest. The HJAHQCAM video was recorded from a StarDot camera positioned on top of the HJ Andrews main office building. Andrews Forest LTER collected and manged these data in real-time and compiled a final time-lapse video of each camera using a multi-threaded python program.</p><p>Additional Resources:<br><a href="https://andrewsforest.oregonstate.edu/about/news-events/lookout-fire-updates-2023">Andrews Forest LTER</a><br><a href="https://www.youtube.com/@AndrewsForest/playlists">Andrews Forest Youtube</a><br><a href="https://inciweb.wildfire.gov/incident-information/orwif-lookout-fire">InciWeb</a></p><p><strong>This material is based upon work supported by the H.J. Andrews Experimental Forest and Long Term Ecological Research (LTER) program under the NSF grant LTER8 DEB-2025755.</strong></p>
Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli
<p>Dataset used for the training of the segmentation model employed in the work "Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer" by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.</p>
High-Speed Video Recordings of Wheel-Rail Traction Enhancement Using a Full-Scale Testing Platform - Sander Position & Angle Aimed at Nip & Wheel
<p>A database of 5 high-speed video recordings of rail-sanding process using a full-scale testing platform is provided in this data note. The videos are recorded for various case studies, namely different positioning of the sander nozzle aiming at the rail, nip, and wheel with various angles, and different materials used as rail-sand. The particle velocities can be extracted from these high-speed videos using particle image velocimetry software. The spread angle of the particles as they flow out of the nozzle can also be measured with the use of image processing software. The data extracted from these high-speed recording can be utilised for calibration, validation, and verification of experimental and numerical set-ups, as well as for training artificial intelligence models.</p>
High-Speed Video Recordings of Wheel-Rail Traction Enhancement Using a Full-Scale Testing Platform - Sander Position & Angle Aimed at Rail
<p>A database of 4 high-speed video recordings of rail-sanding process using a full-scale testing platform is provided in this data note. The videos are recorded for various case studies, namely different positioning of the sander nozzle aiming at the rail, nip, and wheel with various angles, and different materials used as rail-sand. The particle velocities can be extracted from these high-speed videos using particle image velocimetry software. The spread angle of the particles as they flow out of the nozzle can also be measured with the use of image processing software. The data extracted from these high-speed recording can be utilised for calibration, validation, and verification of experimental and numerical set-ups, as well as for training artificial intelligence models.</p>
ICSE 2018 and ICPC 2019 Session Video Recordings
<p>Session recordings analyzed in two following research works:</p> <ul> <li>Title: <em>The Road to Live Programming: Insights From the Practice</em> <ul> <li>Authors: Juraj Kubelka, Romain Robbes, Alexandre Bergel</li> <li><a href="https://www.icse2018.org/event/icse-2018-technical-papers-the-road-to-live-programming-insights-from-the-practice">ICSE 2018</a></li> </ul> </li> <li>Title: <em>Live Programming and Software Evolution: Questions during a Programming Change Task</em> <ul> <li>Authors: Juraj Kubelka, Romain Robbes, Alexandre Bergel</li> <li><a href="https://conf.researchr.org/home/icpc-2019">ICPC 2019</a></li> </ul> </li> </ul> <p>The dataset includes the following audio and video recordings and the file names are composed of <session-id>-<participant-id>.</p> <p>Session Video Recordings [session id, participant id, spoken language]:</p> <ol> <li>S1-P1, Audio is excluded at the request of the participant</li> <li>S2-P2, English</li> <li>S3-P3, Spanish</li> <li>S4-P5, English</li> <li>S5-P8, Spanish</li> <li>S6-P9, Spanish</li> <li>S7-P11, English</li> <li>S8-P4, English</li> <li>S9-P5, Spanish</li> <li>S10-P6, English</li> <li>S11-P4, English</li> <li>S12-P5, Spanish</li> <li>S13-P6, English</li> <li>S14-P8, Spanish</li> <li>S15-P9, Spanish</li> <li>S16-P10, English</li> <li>S17-P11, English</li> </ol> <p>Participants who spoke Spanish during the session spoke their mother tongue. English-speaking participants use English as a second language.</p> <p> </p>
Analogical Reasoning (video recording)
<p>Video recording of the lecture "Analogical Reasoning" given on 2021-10-06 as Module 6 of <a href="https://redwood.berkeley.edu/courses/computing-with-high-dimensional-vectors">Neuroscience 299: Computing with High-Dimensional Vectors</a> at the <a href="https://redwood.berkeley.edu/">Redwood Center for Theoretical Neuroscience</a>, University of California, Berkeley.</p>
Consensual videos of potentially re-identifiable individuals recorded at the Autonomous Driving Test Area Baden-Württemberg (raw images with location and IMU data).
<p>For the purpose of research on data intermediaries and data anonymisation, it is necessary to test these processes with realistic video data containing personal data. For this purpose, the <a href="http://treumoda.de">Treumoda</a> project, funded by the German Federal Ministry of Education and Research (BMBF), has created a dataset of different traffic scenes containing identifiable persons.</p> <p>This video data was collected at the <a href="https://taf-bw.de/">Autonomous Driving Test Area Baden-Württemberg</a>. On the one hand, it should be possible to recognise people in traffic, including their line of sight. On the other hand, it should be usable for the demonstration and evaluation of anonymisation techniques.</p> <p><strong>The legal basis for the publication of this data set the consent given by the participants as documented in the file Consent.pdf (all purposes) in accordance with Art. 6 1 (a) and Art. 9 2 (a) GDPR. Any further processing is subject to the GDPR.</strong></p> <p>We make this dataset available for non-commercial purposes such as teaching, research and scientific communication. Please note that this licence is limited by the provisions of the GDPR. Anyone downloading this data will become an independent controller of the data. This data has been collected with the consent of the identifiable individuals depicted.</p> <p>Any consensual use must take into account the purposes mentioned in the uploaded consent forms and in the privacy terms and conditions provided to the participants (see Consent.pdf). All participants consented to all three purposes, and no consent was withdrawn at the time of publication. KIT is unable to provide you with contact details for any of the participants, as we have removed all links to personal data other than that contained in the published images.</p>
"Presenting Euroqcharm project outcomes to foster global database synchronization" Zoom Webinar video recording
<p>Video recording of the "Presenting Euroqcharm project outcomes to foster global database synchronization" Zoom Webinar</p>
Video recordings for the female French Matrix Sentence Test
<p>This dataset provides the video recordings for the female French Matrix Sentence Test, a speech intelligibility test. The audio recordings are not provided in the dataset, but research licenses are available from Hörzentrum Oldenburg gGmbH. Please refer to Hörzentrum Oldenburg gGmbH for the audio material (<a href="https://www.hz-ol.de/en/matrix.html">https://www.hz-ol.de/en/matrix.html</a>).</p> <p>For testing audiovisual speech perception, the video recordings should be played together with the original speech mentioned above. Half a second of silence at the beginning of each audio file should be added for synchronous playback. An example with video and original audio is provided here (exampleWithAudio_00200_JeanLuc_ramasse_quinze_classeurs_jaunes.mp4). The research software that runs the test is available for collaborative work with Hörzentrum Oldenburg gGmbH. Please contact <a href="mailto:sales@hz-ol.de.">sales@hz-ol.de</a></p> <p>The scripts (Matlab) and guidelines to create the video recordings can be found in the public repository <a href="https://github.com/gerardllorach/audiovisualdubbedMST">https://github.com/gerardllorach/audiovisualdubbedMST</a>. The videos for the German version can be found here: <a href="https://doi.org/10.5281/zenodo.3673062">https://doi.org/10.5281/zenodo.3673062</a></p> <p>Main authors: Loïc Le Ruhn, Gerard Llorach Tó</p> <p>Corresponding author: Tanguy Delmas (tanguy.delmas (at) pasteur.fr)</p> <p> </p> <p>References:</p> <p>Le Rhun, L., Llorach, G., Delmas, T., Suied, C., Arnal, L., & Lazard, D. (2023). A standardized test to evaluate audio-visual speech intelligibility in French. <em>medRxiv</em>, 2023-01. https://doi.org/10.1101/2023.01.18.23284110</p> <p>Jansen, S., Luts, H., Wagener, K. C., Kollmeier, B., Del Rio, M., Dauman, R., James, C., Fraysse, B., Vormès, E., Frachet, B., Wouters, J., & van Wieringen, A. (2012). Comparison of three types of French speech-in-noise tests: A multi-center study. International Journal of Audiology, 51(3), Art. 3. https://doi.org/10.3109/14992027.2011.633568 </p> <p>Llorach, G., Kirschner, F., Grimm, G., Zokoll, M. A., Wagener, K. C., & Hohmann, V. (2022). Development and evaluation of video recordings for the OLSA matrix sentence test. International Journal of Audiology, 61(4), 311‑321. https://doi.org/10.1080/14992027.2021.1930205 </p>
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17
Consensual videos of potentially re-identifiable individuals recorded at the Autonomous Driving Test Area Baden-Württemberg (raw images recorded daytime).
<p>For the purpose of research on data intermediaries and data anonymisation, it is necessary to test these processes with realistic video data containing personal data. For this purpose, the <a href="http://treumoda.de/">TreuMoDa</a> project, funded by the German Federal Ministry of Education and Research (BMBF), has created a dataset of different traffic scenes containing identifiable persons.</p><p>This video data was collected at the <a href="https://taf-bw.de/">Autonomous Driving Test Area Baden-Württemberg</a>. On the one hand, it should be possible to recognise people in traffic, including their line of sight. On the other hand, it should be usable for the demonstration and evaluation of anonymisation techniques.</p><p><strong>The legal basis for the publication of this data set the consent given by the participants as documented in the file Consent.pdf (all purposes) in accordance with Art. 6 1 (a) and Art. 9 2 (a) GDPR. Any further processing is subject to the GDPR.</strong></p><p>We make this dataset available for non-commercial purposes such as teaching, research and scientific communication. Please note that this licence is limited by the provisions of the GDPR. Anyone downloading this data will become an independent controller of the data. This data has been collected with the consent of the identifiable individuals depicted.</p><p>Any consensual use must take into account the purposes mentioned in the uploaded consent forms and in the privacy terms and conditions provided to the participants (see Consent.pdf). All participants consented to all three purposes, and no consent was withdrawn at the time of publication. KIT is unable to provide you with contact details for any of the participants, as we have removed all links to personal data other than that contained in the published images.</p>
Video recordings for the female German Matrix Sentence Test (OLSA)
<p>This dataset provides the video recordings for the female German Matrix Sentence Test (OLSA), a speech intelligibility test. The audio recordings are not provided in the dataset, but research licenses are available from Hörzentrum Oldenburg gGmbH. Please refer to Hörzentrum Oldenburg gGmbH for the audio material (<a href="https://www.hz-ol.de/en/matrix.html">https://www.hz-ol.de/en/matrix.html</a>). An example can be seen in "exampleWithAudio.mp4". For testing audiovisual speech perception, the video recordings should be played together with the original speech OLSAf mentioned above. One second of silence at the beginning of each audio file should be added for synchronous playback.</p> <p>Additionally, a web demo is provided to see how the test functions without sound (try it here with Chrome: <a href="http://www.staff.uni-oldenburg.de/gerard.llorach.to/AVOLSA/">http://www.staff.uni-oldenburg.de/gerard.llorach.to/AVOLSA/</a>). In order to make the web demo work, the folders "Video.zip" and "webData.zip" should be unzipped and placed where "A_demo.html" is. The web demo permits to test visual-only, audiovisual, and audio-only modalities. For testing with audio (if acquired), please drag and drop the audio files ("01248.wav", "02064.wav"...) in the web interface. For further information about the web demo, please read the introduction inside the file "A_demo.html". For further information about the material and how it was recorded please refer to the references.</p> <p>Special thanks to Jutta Birkigt, the talker of the audio and video recordings of the female German Matrix Sentence Test.</p> <p>Reference:</p> <p>Llorach, G., Kirschner, F., Grimm, G., Zokoll, M.A., Wagener, K.C. and Hohmann, V., 2021. Development and evaluation of video recordings for the OLSA matrix sentence test. <em>International Journal of Audiology</em>, pp.1-11.</p>
360-degree video recording of an outdoor camerawork training session for qualitative data collection
<p>In this equirectangular 360° video clip, a recording of an outdoor camerawork training session is stitched together from the footage taken by a stereoscopic 360° camera with eight lenses. To play the video and spatial sound correctly, use a digital video player that can play equirectangular videos with the YouTube ambiX First Order Ambisonic audio format, eg. VLC or PotPlayer. Please wear headphones.</p> <p>In the camerawork training session, all the participants are playing particular roles in the training session, and each carries a camera. In preparation for the real data collection with a guide, one person is pretending to be a nature guide. She carries a GoPro camera on a gimbal. There is an instructor, who is carrying a single lens 360° camera on a raised extension pole with a separate ambisonic microphone. Two others are filming with a prosumer camcorder and a single lens 360° camera on a lowered extension pole respectively. And a fifth person is filming with a stereoscopic 360° camera and an independent ambisonic microphone on a monopod. In a nutshell, this is a typical team filming arrangement, in which the team needs to attentively yet silently coordinate their joint camerawork. Languages: Danish and English</p>
Data associated with: Recording animal-view videos of the natural world using a novel camera system and software package
<p>Data associated with Vasas V, Lowell MC*, Villa J*, Jamison QD*, Siegle AG*, Katta PVR*, Bhagavathula P*, Kevan PG, Fulton D, Losin N, Kepplinger D, Salehian S, Forkner RE, Hanley D (2023) Recording animal-view videos of the natural world using a novel camera system and software package. PLoS Biology. DOI: 10.1371/journal.pbio.3002444</p>
Dataset about "An autonomous low‑cost studio to record production‑ready instructional videos"
<p>Dataset used in the article "An autonomous low‑cost studio to record production‑ready instructional videos".</p> <p>The dataset contains two excel files. One for the TAM model applied to the autonomous low-cost studio (called SAGA), and one with the student perceptions about the resulting videos.</p> <p>Much more information is available in the publication in the journal.</p>
Video recordings of freely swimming paramecia
<p>These files contain images and analyzed data from behavioral experiments in a free environment for the following paper:<br> An electrophysiological and kinematic model of Paramecium, the “swimming neuron”<br> Irene Elices, Anirudh Kulkarni, Nicolas Escoubet, Léa-Laetitia Pontani, Alexis Prevost, Romain Brette<br> </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.