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Fig.ç3.Ec hinoderes ohtsukai sp. nov., scanning electron micrographs. A, B, Paratype, female (ZIHU 3983); C–E, paratype, male (ZIHU 3982). A, General habitus, lateral view; B, neck and segments 1–4, lateral view; C, enlargement of segment 7, lateral view; D, enlargement of segment 9, lateral view; E, enlargement of segments 10 and 11, lateroventral view. Abbreviations: ch, cuticular hair; dss, droplet-shaped sensory spot; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; pf, pectinate fringe; po, pore; ps1, penile spine 1; ps2, penile spine 2; ps3, penile spine 3; rss, rounded sensory spot; si, sieve plate; ss, sensory spot. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç3.Ec hinoderes ohtsukai sp. nov., scanning electron micrographs. A, B, Paratype, female (ZIHU 3983); C–E, paratype, male (ZIHU 3982). A, General habitus, lateral view; B, neck and segments 1–4, lateral view; C, enlargement of segment 7, lateral view; D, enlargement of segment 9, lateral view; E, enlargement of segments 10 and 11, lateroventral view. Abbreviations: ch, cuticular hair; dss, droplet-shaped sensory spot; gco2, modi ed glandular cell outlet type II; ldt, laterodorsal tubule; pf, pectinate fringe; po, pore; ps1, penile spine 1; ps2, penile spine 2; ps3, penile spine 3; rss, rounded sensory spot; si, sieve plate; ss, sensory spot.
Figs 11–22 in Palp sensory structures in adult caddisflies of the suborder Annulipalpia (Trichoptera): a scanning electron microscopy study
Figs 11–22. Palp sensilla of caddisflies of the suborder Annulipalpia: 11 – N. bimaculata female, long trichoid sensilla on lateral surface of the fifth maxillary palp segment; 12 – N. bimaculata female, short chaetoid sensillum on ventral surface of the fourth maxillary palp segment; 13 – Ch. marginata male, a group of long chaetoid sensilla on medial surface of the second maxillary palp segment; 14 – D. varians male, truncated chaetoid sensillum on
Figs 7–10 in Palp sensory structures in adult caddisflies of the suborder Annulipalpia (Trichoptera): a scanning electron microscopy study
Figs 7–10. Labial palps of P. apicalis (7–8) and N. bimaculata (9–10) females. 7 – first and second segments; 8, 9 – third segment; 10 – sensory field on the third segment. Abbreviations: chs-s – short chaetoid sensilla; lts – long trichoid sensilla; pes-f – flattened petaloid sensilla; sf – sensory field. Roman numerals represent segment numbers.
Figs 1–6 in Palp sensory structures in adult caddisflies of the suborder Annulipalpia (Trichoptera): a scanning electron microscopy study
Figs 1–6. Medial (1–5) and ventrolateral (6) surfaces of maxillary palp of D. robusta male (Hydropsychidae). 1 – first segment; 2 – second segment; 3 – third segment; 4 – sensory field of petaloid sensilla on the first segment; 5 – fourth segment; 6 – tip of the fifth segment. Abbreviations: cfs – campaniform sensilla; chs-l – long chaetoid sensilla; chs-s – short chaetoid sensilla; lts – long trichoid sensilla; pes-c – curved petaloid sensilla; sf – sensory field. Roman numerals represent segment numbers.
РИС. 4. Прикрепительный аппарат глохидиев Beringiana beringiana: A–C – внешний вид крючков; D – макрошипы. Масштабные линейки 10 мкм (A–C) и 5 мкм (D). СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 4. Hooks (A–C) and macrospines (D) of Beringiana beringiana glochidia. Scale bars 10 µm (A–C) и 5 µm (D). Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 4. Прикрепительный аппарат глохидиев Beringiana beringiana: A–C – внешний вид крючков; D – макрошипы. Масштабные линейки 10 мкм (A–C) и 5 мкм (D). СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 4. Hooks (A–C) and macrospines (D) of Beringiana beringiana glochidia. Scale bars 10 µm (A–C) и 5 µm (D). Scanning electron microscopy.
РИС. 5. Поверхности створки глохидиЯ со скульптурой и порами: А – наруЖнаЯ; В –внутреннЯЯ. Масштабные линейки 10 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 5. Valve surfaces with the sculpture and pores: A – exterior; B – interior. Scale bars 10 µm. Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 5. Поверхности створки глохидиЯ со скульптурой и порами: А – наруЖнаЯ; В –внутреннЯЯ. Масштабные линейки 10 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 5. Valve surfaces with the sculpture and pores: A – exterior; B – interior. Scale bars 10 µm. Scanning electron microscopy.
РИС. 3. Раковины Зрелых глохидиев Beringiana beringiana в раЗных ракурсах: А–С – Закрытые раковины, вид со стороны створки (А), вентрального угла (В) и лигамента (С); D–F – полностью открытые раковины, вид иЗнутри (D), снаруЖи (E) и боковых краев створок (F); G, H – приоткрытые раковины, стрелка укаЗывает на остатки волокон мускулаЗамыкателЯ. МасштабнаЯ линейка 100 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 3. Mature glochidial shells of Beringiana beringiana from different angles of view: A–C – closed shells, view from the valve side (A), ventral angle (B), and ligament (C); D–F – open shells, interior view (D), exterior view (E), and from lateral margins of valves (F); G, H – ajar shells, the arrows indicate the remains of the adductor muscle fibers. Scale bar 100 µm. Scanning electron microscopy. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 3. Раковины Зрелых глохидиев Beringiana beringiana в раЗных ракурсах: А–С – Закрытые раковины, вид со стороны створки (А), вентрального угла (В) и лигамента (С); D–F – полностью открытые раковины, вид иЗнутри (D), снаруЖи (E) и боковых краев створок (F); G, H – приоткрытые раковины, стрелка укаЗывает на остатки волокон мускулаЗамыкателЯ. МасштабнаЯ линейка 100 мкм. СканируюЩаЯ ЭлектроннаЯ микроскопиЯ. FIG. 3. Mature glochidial shells of Beringiana beringiana from different angles of view: A–C – closed shells, view from the valve side (A), ventral angle (B), and ligament (C); D–F – open shells, interior view (D), exterior view (E), and from lateral margins of valves (F); G, H – ajar shells, the arrows indicate the remains of the adductor muscle fibers. Scale bar 100 µm. Scanning electron microscopy.
Enhanced Alzheimer's Brain Scan Dataset: Normal and Synthesized
<div> <div> <div> <h2>Enhanced Alzheimer's Brain Scan Dataset: Normal and Synthesized</h2> </div> </div> </div> <div> <div> <div> <div> <h2>Unveiling the Invisible: A Novel Approach to Alzheimer's Image Analysis</h2> <h3>Dataset Overview</h3> <p>This unique dataset comprises two distinct sets of brain scan images related to Alzheimer's disease:</p> <ol> <li><strong>Normal Dataset</strong>: 2000 carefully selected images for each stage of Alzheimer's progression.</li> <li><strong>Synthesized Dataset</strong>: Corresponding enhanced images using our innovative pseudo-RGB transformation technique.</li> </ol> <p>Total Images: 16,000 (8,000 normal + 8,000 synthesized)</p> <h3>Why This Dataset Matters</h3> <ol> <li><strong>Enhanced Feature Visibility</strong>: The synthesized images amplify subtle brain structures that may be indicative of Alzheimer's progression.</li> <li><strong>Multi-Perspective Analysis</strong>: By providing both normal and synthesized versions, this dataset enables researchers to compare and leverage both representations.</li> <li><strong>Balanced Categories</strong>: With equal representation across Alzheimer's stages, this dataset supports unbiased model training.</li> <li><strong>Novel Research Opportunities</strong>: The unique pseudo-RGB transformation opens doors for innovative approaches in medical image analysis.</li> </ol> <h3>Potential Applications</h3> <ul> <li>Training more accurate deep learning models for Alzheimer's detection</li> <li>Comparative studies between traditional and enhanced image analysis techniques</li> <li>Exploration of feature importance in Alzheimer's diagnosis</li> <li>Development of new visualization tools for medical professionals</li> </ul> </div> </div> </div> </div>
How Binding Site Flexibility Promotes RNA Scanning in TbRGG2 RRM: A Molecular Dynamics Simulation Study
<p>The data necessary to independently reproduce the MD simulations and the first part of the simulation trajectories reported in the paper "<strong>How Binding Site Flexibility Promotes RNA Scanning in TbRGG2 RRM: A Molecular Dynamics Simulation Study</strong>", by Lemmens et al.</p> <p>Due to Zenodo data deposition limits, every 10th frame of the MD simulation trajectories is included. Due to Zenodo deposition limits, MD trajectory files for this paper are also available at 10.5281/zenodo.14260246.</p>
The initial stages of Ag fluorination: a scanning tunneling microscopy investigation
<p>Low Temperature scanning tunneling microscopy images of Ag(100) and Ag(110) crystals exposed at room temperature for different amounts of time to a fluorine-rich atmosphere. The temperature used for acquiring the STM images is written within the title of the file. </p> <p>The calibration factors for the STM images are 1.12 in X and Y, 0.867 in Z. </p> <p>These STM data are the raw images of the results shown in the paper published in ArXiv with the doi number 10.48550/arXiv.2410.04858.</p>
Animal Communicator International Scan of Books, Websites, Animal Communicator Directory
<p>Four datasets are included focusing on animal communicators (AC): practitioners of intuitive interspecies communication (IIC).</p> <p><strong>Dataset #1:</strong> International English language websites data set (n = 400). To be included and coded, websites had to meet the following 3 criteria: (1) have an English language version of the website, (2) currently offer private AC consultations, and (3) be identified before website analysis was determined comprehensive enough to represent the international scope of AC (Oct. 30, 2020). CITE AS:<strong> </strong>Barrett, M. J., Zmud, L., Mathur, A., & Hoessler, C. (2024). Animal communicator website scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p> <strong>Dataset #2:</strong> International English language published books. Total books (n = 191): Books were identified through internet searches, including searches on Amazon and used bookstores such as Abe Books, from practicing AC websites, and from the directory: Book Authority Website for “53 Best Animal Communication Books of All Time,” https://bookauthority.org/books/best-animal-communication-books. Dataset includes books’ titles, descriptions, front and back covers and tables of contents where available. Where it was not clear whether the author was an animal communicator who consulted with clients, we did additional online searches to make this determination. All books had an English language printed copy of the book. We excluded books that were available in electronic copy only. We expanded our initial content inclusion criteria used in the website report beyond individuals currently offering consultations as professional animal communicators to include: (1) professional animal communicators who have since retired; (2) individuals who work intensively with animals in other capacities such as healing, but also report instances of IIC; (3) individuals who may not have worked as professional animal communicators, but write about their own lived experience of the phenomena; and (4) books written by individuals who are not ACs but have interviewed ACs. Where a book was written by two authors, or in some cases, an animal communicator with an additional author, we included both authors in our formal citation. Books were written by ACs who offered professional services (182), or authors who were not ACs (9). CITE AS:<strong> </strong>Barrett, M. J., Mathur, A., & Ghoreishi, Z., Hoessler, C., Kuppenbender, S. (2024). Animal communicator Book Scan [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #3:</strong> Directory of practicing ACs (1990-2011; n = 80 issues). To provide a snapshot of growth in numbers of practitioners over time, we compiled listings of ACs published in the Animal Communicator Directory from <em>Species Link: The Journal of Interspecies Telepathic Communication</em>. From 1990-2011, the publication included a directory of practicing ACs; after 2011, the directory went fully online, and data from each year is not available. CITE AS:<strong> </strong>Barrett, M.J. & Hoessler, C. (2022). Animal Communicator Directory. [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p><strong>Dataset #4: </strong>Reference List of 15 Analyzed Animal Communicator Books with formal or informal “How-To” Sections. Compiled to identify and summarize the ways in which ACs were describing essential processes for conducting a successful intuitive communication session with animals, and thus provide an overview of what happens in an IIC session. Selection criteria: We were seeking succinct summaries from ACs. The intent was not to dig into and analyze processes in detail, but rather to summarize and synthesize the essential processes and steps as the ACs were reporting them. As such, it was beyond the scope of this study to analyze reported example communications or analyze processes in books where the entirety of the book was describing communications with animals. Publication date range: 1998-2019. Close to 300 pages were analyzed. The actual "how-to" excerpts are not included as they are subject to copyright. CITE AS:<strong> </strong>Barrett, M.J. & Kuppenbender, S. (2022). Reference List of 15 Analyzed Animal Communicator Books [Data set]. Zenodo. DOI 10.5281/zenodo.15131964</p> <p>For further information on data collection and analysis details contact M.J. Barrett, PhD. mj.barrett@usask.ca </p> <p>Funded by the Social Sciences and Humanities Research Council of Canada<em> </em>Insight Development Grant: <em>Deepening Connection in Pursuit of Environmental Sustainability: Assessing a Promising Lever for Shifting Assumptions of Separation </em>(Grant # 430-2019-01023).</p>
High-resolution scans of impact spatter patterns
<p>High-resolution scans of spatter patterns used in the following peer-reviewed research article<br> <br> Article Title: Do impact spatters depend on impact velocity, impact energy or impactor shape?<br> DOI : 10.1007/s00348-021-03341-1<br> Journal: Experiments in Fluids<br> Publisher: Springer<br> Authors: R Faflak and D Attinger</p> <p><br> Spatial resolution is 600 pixel per inch (a flatbed scanner A3 Epson Expression 11000XLwas used)<br> Images are oriented so that gravity points downwards<br> The file format is <br> impactor material_impactor shape_height of free fall_impactor mass in gram_<br> For instance the following file <br> PP,Al_F_h30_m644,7(2)_stitch_CLEAN.tiff<br> means<br> impactor material is Polypropylene and Aluminum<br> impactor shape is Flat<br> free fall height is 30 cm<br> impactor mass in gram is 644.7g</p> <p>A summary description of the impact setup and of the impact parameters is in the Adobe PDF document "description of geometry and parameters.pdf"</p>
Side scan sonar backscatter mosaic offshore Thailand, Andaman Sea
<p>The attached mosaics of side scan sonar data were recorded during 3 field campaigns in 2007, 2008 and 2010. High backscatter values are represented by darker colours. The mosaic is georeferenced in EPSG:32647 - WGS 84 / UTM zone 47N.</p> <p>Please refer to Feldens, P.; Schwarzer, K.; Sakuna, D.; Szczuciński, W.; Sompongchaiyakul, P. Sediment distribution on the inner continental shelf off Khao Lak (Thailand) after the 2004 Indian Ocean tsunami. <em>Earth, Planets and Space,</em> 2012, 64, 875-887; DOI:10.5047/eps.2011.09.001 and Sakuna-Schwartz, D.; Feldens, P.; Schwarzer, K.; Khokiattiwong, S.; Stattegger, K. Internal structure of event layers preserved on the Andaman Sea continental shelf, Thailand: tsunami vs. storm and flash-flood deposits. <em>Natural Hazards and Earth System Sciences,</em> 2015, 15, 1181-1199; DOI:10.5194/nhess-15-1181-201 and Feldens, P., Schwarzer K., Sakuna-Schwartz, D., Khokiattiwong, S. (in prep) Offshore geomorphological evolution in Phang Nga province (Thailand) during the Holocene: An example for a sediment starving shelf and references therein for further information on the dataset. </p> <p>The research was funded by Deutsche Forschungsgemeinschaft (DFG) grant No. SCHW 572/11-1 and National Research Council of Thailand (NRCT)</p>
EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
<p><strong>Eighteen high-resolution ecological descriptors of vegetation and terrain for Denmark "EcoDes-DK15"</strong></p> <p>The data are derived from the nationwide airborne laser scanning / LiDAR campaign of Denmark from 2014-2015 provided by the Danish Agency for Data Supply and Efficiency.</p> <p><strong>Update: EcoDes-DK15 v1.1.0 (4 Dec. 2021)</strong></p> <p>Following the recommendations and feedback during the first round of peer-review, we updated the EcoDes-DK processing pipeline and EcoDes-DK15 data set. The key changes are:</p> <ul> <li>New version of the source data optimised to contain only point data collected before the end of 2015. The source data for EcoDes-DK15 v1.0.0 unintentionally contained data from 2018. The new source data is documented <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/source_data/readme.md">here</a>.</li> <li>New "date_stamp_*" auxiliary variables that illustrate the survey dates for the vegetation points in each cell. See updated descriptor documentation <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/descriptors.md">here</a>.</li> <li>Re-scaling of "solar_radiation" variable to MJ per 100 m<sup>2</sup> per year.</li> </ul> <p><strong>Detailed documentation for the data set can be found in the accompanying manuscript and GitHub repository:</strong></p> <p>Assmann, J. J., Moeslund, J. E., Treier, U. A., and Normand, S.: EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set, Earth Syst. Sci. Data Discuss. [preprint], <a href="https://doi.org/10.5194/essd-2021-222">https://doi.org/10.5194/essd-2021-222</a>, in review, 2021<strong><em>.</em></strong></p> <p><a href="https://github.com/jakobjassmann/ecodes-dk-lidar">https://github.com/jakobjassmann/ecodes-dk-lidar</a></p> <p>Files are compressed using bzip2 and tar archiving. The compressed archives can be extracted using commonly available archiving tools (for example <a href="https://www.7-zip.org/">7z </a>on Windows, the archiving tool on macOS and bz2 on Linux). </p> <p>A small example "teaser" subset (5 MB) of the data set, covering the Husby Klit area from Figure 7 in the manuscript, can be found <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/manuscript/figure_7/EcoDes-DK15_teaser.zip">here</a>.</p> <p><strong>Abstract (from manuscript)</strong></p> <p>Biodiversity studies could strongly benefit from three-dimensional data on ecosystem structure derived from contemporary remote sensing technologies, such as Light Detection and Ranging (LiDAR). Despite the increasing availability of such data at regional and national scales, the average ecologist has been limited in accessing them due to high requirements on computing power and remote-sensing knowledge. We processed Denmark’s publicly available national Airborne Laser Scanning (ALS) data set acquired in 2014/15 together with the accompanying elevation model to compute 70 rasterized descriptors of interest for ecological studies. With a grain size of 10 m, these data products provide a snapshot of high-resolution measures including vegetation height, structure and density, as well as topographic descriptors including elevation, aspect, slope and wetness across more than forty thousand square kilometres covering almost all of Denmark’s terrestrial surface. The resulting data set is comparatively small (~94 GB, compressed 16.8 GB) and the raster data can be readily integrated into analytical workflows in software familiar to many ecologists (GIS software, R, Python). Source code and documentation for the processing workflow are openly available via a code repository, allowing for transfer to other ALS data sets, as well as modification or re-calculation of future instances of Denmark’s national ALS data set. We hope that our high-resolution ecological vegetation and terrain descriptors (EcoDes-DK15) will serve as an inspiration for the publication of further such data sets covering other countries and regions and that our rasterized data set will provide a baseline of the ecosystem structure for current and future studies of biodiversity, within Denmark and beyond.</p> <p><strong>Acknowledgements (from manuscript)</strong></p> <p>We would like to thank Andràs Zlinszky for his contributions to earlier versions of the data set, Charles Davison for feedback regarding data use and handling, as well as Matthew Barbee and Zsófia Koma for sharing their insights on the source data merger and Zsófia’s script to generate summary statistics for the different versions of the DHM point clouds. Funding for this work was provided by the Carlsberg Foundation (Distinguished Associate Professor Fellowships) and Aarhus University Research Foundation (AUFF-E-2015-FLS-8-73) to Signe Normand (SN). This work is a contribution to SustainScapes – Center for Sustainable Landscapes under Global Change (grant NNF20OC0059595 to SN).</p>
Slow Port Scan Test (D2)
<p>Ports scan dataset contains approximately 50% benign flow data and 50% malicious flow data. Benign flow data have been generated with the same python scripts used in D1 and has been labeled as '0'. Malicious flow data has been labeled as '1'.</p> <p>Malicious flow data has been generated using Nmap tool. Different types of slow port scans have been launched on both TCP and UDP ports. The scans carried out were: TCP SYN scanning; TCP Connect scanning; UDP scanning; TCP NULL; FIN; Xmas scanning; TCP ACK scanning; TCP Window scanning; and TCP Maimon scanning. Slow port-scanning attacks have been carried out by 100 attack nodes that scanned 65536 ports on 200 victim nodes. Requests are launched with 5 to 10 seconds of slack time among them.</p>
Atrial Fibrillation Designation with Micro-Raman Spectroscopy and Scanning Acoustic Microscopy
<p>This repository was constructed tp provide the <strong>Raman Spectroscopy</strong> data and figure files related to the manuscript “Atrial Fibrillation Designation with Micro-Raman Spectroscopy and Scanning Acoustic Microscopy”. </p>
Laser scan and polarization resolved Fourier-plane measurements of nanoparticle clusters
<p><strong>meas_00 - meas_09: measurements of particle ensembles</strong></p> <p><strong>meas_10 - meas_11: measurements of excitation beam</strong></p> <p><strong>meas_12: measurement of camera background</strong></p> <p>See "meas_readme.pdf" for more details on how to use and understand the data.</p>
Dataset related to aticle "Additive Fabrication of a Vascular 3D Phantom for Stereotactic Radiosurgery of Arteriovenous Malformations"The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.
<p><em>The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.</em></p>
LiDAR metrics generated from Airborne Laser Scanning (ALS) data across the Netherlands
<p>This data repository contains the LiDAR metrics generated from country-wide Airborne Laser Scanning (ALS) data from the Netherlands. The LiDAR metrics (10-meter resolution) are derived from AHN3 using <a href="https://laserfarm.readthedocs.io/en/latest/">Laserfarm</a> workflow. Raw point cloud data can be downloaded <a href="https://app.pdok.nl/ahn3-downloadpage/">here</a>. </p>
FIGURE 208. Scanning electron micrographs showing a in Grenadiers (Teleostei: Gadiformes: Macrouridae) of Japan and adjacent waters, a taxonomic monograph
FIGURE 208. Scanning electron micrographs showing a body scale (from the dorsum below the interdorsal space) of Ventrifossa macroptera. BSKU 32168, paratype, 71.0 mm HL. (A) View from above; (B) oblique view. [Photos: NSMT]
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.