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FIG. 15 in A taxonomic revision of the Lophocoleaceae Vanden Berghen (Marchantiophyta) of New Caledonia
FIG. 15. — Heteroscyphus grandiflorus (Steph.) Hürl.: A, E, H, shoot portions from different parts of a single specimen; B, D, G, underleaves; C, I, K, leaves; F, ventral margins of two adjacent leaves showing their imbrication; J, leaf and underleaf; L, cilia from leaf apex; M, cells. A, E, H, drawn from the specimen Thouvenot NC2745; B, from Thouvenot NC1486; C, D, from Thouvenot NC0752; F, from the syntype of Chiloscyphus grandiflorus Steph. (G00283070); G, from Thouvenot NC2895; I, J, from the lectotype of Chiloscyphus grandiflorus (G00069506); K, from the syntype of Chiloscyphus grandiflorus (G00283071); L, M, from Thouvenot NC2750. Scale bars: A-K, 1 mm; L, M, 20 µm.
FIG. 15. — B, C, F, H, I, K, M-P, R, S in Modern taxonomic approaches to identifying diatrypaceous fungi from marine habitats, with a novel genus Halocryptovalsa Dayarathne & K.D.Hyde, gen. nov.
FIG. 15. — B, C, F, H, I, K, M-P, R, S, Halodiatrype salinicola Dayarathne & K.D.Hyde (MFLU 15-0179 – holotype); A, D, E, G, J, L, O, P, T, U, Halodiatrype avicenniae Dayarathne & K.D.Hyde (MFLU 16-1185 – holotype and MFLU – 16-1197):A, B, horizontal section of ascoma (MFLU 16-1185,MFLU 15-0179);C, D, vertical section through ascoma (MFLU 15-0179, MFLU 16-1185); E, F, peridium (MFLU 16-1185, MFLU 15-0179); G, H, section through neck (MFLU 16-1185, MFLU 15-0179); I, J, asci (MFLU 15-0179 (in Congo red), MFLU 16-1185); K, L, paraphyses (MFLU 15-0179, MFLU 16-1185); M-P, ascospores (MFLU 15-0179, MFLU 16-1185); Q, conidia from culture on PDA (MFLU 18-0150); R-U, culture on PDA (MFLU 15-0179, MFLU 16-1185) Scale bars: A, 1000 µm; B, 500 µm; C, D, I-L, 100 μm; E, F, Q, 20 μm; G-H, 50 μm; M-P, 10 μm
FIG. 15 in Disentangling cryptic species in the Marasmius haematocephalus (Mont.) Fr. and M. siccus (Schwein.) Fr. species complexes (Agaricales, Basidiomycota)
FIG. 15. — Pictures of fresh basidiomata: A, Marasmius roseus J.S. Oliveira, sp. nov. (JO352); B, M. rubicundus (Singer) J.S. Oliveira, stat. nov. (JO464); C, M. cf. pallescens Murrill (JO426). Scale bars: 10 mm.
FIG. 15 in Fungal biodiversity profiles 111-120
FIG. 15. — Phaeolus sharmae Hembrom, A. Parihar, K. Das & A. Ghosh, sp. nov. (holotype): A, basidia, basidioles and basidiospores; B, section through trama showing gloeoplerous hyphae, basidia, basidioles and cystidia; C, hyphae from loose upper part of context; D, hyphae adjacent to tube regions of context; E, cystidia; F, hyphae from pileus surface. Scale bars: 10 µm.
FIGURE 15 in Erratum - One new genus and nine new species of Linyphiidae spiders from Yintiaoling Nature Reserve, Chongqing of China. Zootaxa, 5257 (1), 082-114.
FIGURE 15. Ryojius latus sp. n., male holotype left palp. A prolateral view B retrolateral view C dorsal view D ventral view.
Fotografie Stauffer Summer Music Festival 15 luglio
<p>Selezione di fotografie della serata avvenuta il 15 luglio allo Stauffer Summer Music Festival. I protagonisti di questa serata sono stati gli allievi della Stauffer insieme ai maestri Aleksej Igudesman e Roby Lakatos.</p> <p>Le immagini sono state realizzate dal fotografo Freelancer Michele Branca, di proprietà della Fondazione Stauffer</p>
FIG. 15. — A in Central American Tetrigidae Rambur, 1838 (Orthoptera): a preliminary catalogue
FIG. 15. — A living specimen of Crimisus costaricensis Günther,1939 exhibiting cryptic coloration together with sparse epizootic algal covering. Photo: Marco de Haas.
Figs 15–19 in New Records Of Sciarid Species (Diptera, Sciaridae) From Ukraine. Iv
Figs 15–19. Bradysia urticae Ơ: 15 — hypopygium, ventral view; 16 — gonostylus, ventral view; 17 — anterior apex of fore tibia (p1) with tibial organ, prolateral view; 18 — maxillary palpus, frontal view; 19 — fourth flagellomere, lateral view. Scale 0.1 mm.
i-Box (Innsbruck Box) – processed eddy-covariance data: 15-min statistics
<p><strong>Abstract</strong></p> <p>The dataset contains eddy-covariance data from five i-Box stations in the Austrian Inn Valley, which have been processed to 15-min statistics. The i-Box is a long-term measurement platform, including a small network of eddy-covariance stations in the lower Inn Valley, to study boundary-layer processes in mountainous terrain. More information about the i-Box can be found at <a href="https://www.uibk.ac.at/acinn/research/atmospheric-dynamics/projects/innsbruck-box-i-box.html.en">https://www.uibk.ac.at/acinn/research/atmospheric-dynamics/projects/innsbruck-box-i-box.html.en</a> and in Rotach et al. (2017).</p> <p> </p> <p><strong>Data description</strong></p> <p><em>Station locations</em></p> <p>The present dataset contains processed data from five i-Box stations located in the Austrian Inn Valley. The Inn Valley is an approximately southwest-northeast oriented valley in the western part of Austria, with a depth of about 2000 m and a width of about 2 km at the valley floor. The locations of the sites are shown in the overview figure i-Box_sites.pdf.</p> <ul> <li> <p>VF0 is located at the almost flat valley floor. The site is surrounded by grassland and agricultural fields. (47.305°N, 11.622°E, 545 m MSL)</p> </li> <li> <p>SF8 is located at the foot of the north sidewall next to a steep embankment between an agricultural field and a concrete parking lot. (47.326°N, 11.652°E, 575 m MSL)</p> </li> <li> <p>SF1 is located on an almost flat plateau running along the northern valley sidewall. The site is mainly surrounded by grassland and agricultural fields. (47.317°N, 11.616°E, 829 m MSL)</p> </li> <li> <p>NF10 is located on an approximately 10 deg slope on the south sidewall, covered by grassland. (47.300°N, 11.673°E, 930 m MSL)</p> </li> <li> <p>NF27 is located on a steep, grass-covered slope on the south sidewall, with a slope angle of about 25 deg. (47.288°N, 11.631°E, 1009 m MSL)</p> </li> </ul> <p>Further information about station locations can be found in Rotach et al. (2017) and Lehner et al. (2021).</p> <p><em>Temporal coverage</em></p> <p>The dataset contains processed data between 2014 and 2020. Some instruments were replaced and new instruments were added during this period. Data gaps occur as a result of instrument malfunctions and maintenance.</p> <p><em>Instrumentation</em></p> <p>Each station is equipped with at least one sonic anemometer and a gas analyzer. The instrumentation usually consists of a CSAT3 sonic anemometer (Campbell Scientific, USA) and KH20 Krypton hygrometer (Campbell Scientific) or an EC150 open-path infrared gas analyzer (Campbell Scientific). In 2020, several of the instruments were replaced with an Irgason (Campbell Scientific), which combines an open-path infrared gas analyzer with a sonic anemometer. Pressure, air temperature, and humidity used for calculating flux corrections are measured with Setra 278 sensors (Setra Systems, USA) and Rotronic HC2A-S temperature and humidity probes (Rotronic, Switzerland).</p> <ul> <li> <p>VF0: CSAT3 and EC150 at 4.0 m, CSAT3 at 8.7 m, CSAT3 and KH20 (until July 2020) or Irgason (since July 2020) at 16.9 m</p> </li> <li> <p>SF8: CSAT3 at 6.1, CSAT3 and KH20 (until September 2020) or Irgason (since September 2020) at 11.2 m</p> </li> <li> <p>SF1: CSAT3 and KH20 (until June 2020) or Irgason (since June 2020) at 6.8 m</p> </li> <li> <p>NF10: CSAT3 and KH20 (until June 2020) or Irgason (since June 2020) at 5.7 m</p> </li> <li> <p>NF27: CSAT3 at 1.5 (since September 2017), CSAT3 and KH20 (until November 2016) or Irgason (since September 2017) 6.8 m</p> </li> </ul> <p>Further information about the instrumentation can be found in Rotach et al. (2017), Lehner et al. (2021), and in the ACINN database:</p> <ul> <li> <p>VF0: <a href="https://acinn-data.uibk.ac.at/pages/i-box-kolsass.html">https://acinn-data.uibk.ac.at/pages/i-box-kolsass.html</a></p> </li> <li> <p>SF8: <a href="https://acinn-data.uibk.ac.at/pages/i-box-terfens.html">https://acinn-data.uibk.ac.at/pages/i-box-terfens.html</a></p> </li> <li> <p>SF1: <a href="https://acinn-data.uibk.ac.at/pages/i-box-eggen.html">https://acinn-data.uibk.ac.at/pages/i-box-eggen.html</a></p> </li> <li> <p>NF10: <a href="https://acinn-data.uibk.ac.at/pages/i-box-weerberg.html">https://acinn-data.uibk.ac.at/pages/i-box-weerberg.html</a></p> </li> <li> <p>NF27: <a href="https://acinn-data.uibk.ac.at/pages/i-box-hochhaeuser.html">https://acinn-data.uibk.ac.at/pages/i-box-hochhaeuser.html</a></p> </li> </ul> <p><em>Data processing</em></p> <p>Raw 20-Hz data were quality controlled and rotated into a streamline coordinate system using double rotation before block averaging the data to 15-min statistics, without previous filtering. Flux corrections were applied to the turbulence statistics, including a frequency response correction (Aubinet et al. 2012) with spectral models following Moore (1986), Højstrup (1981), and Kaimal et al. (1972); a sonic heat-flux correction of the vertical heat flux and the temperature variance (Schotanus et al. 1983); a WPL correction of the vertical moisture flux (Webb et al. 1980); and an Oxygen correction of the vertical moisture flux for data from Krypton hygrometers (van Dijk et al. 2003).</p> <p>The quality control procedures include the removal of data during periods of instrument malfunction as indicated by the instruments’ quality flags, a despiking, the removal of data points exceeding 30 m s<sup>-1</sup> for the horizontal wind components, 10 m s<sup>-1</sup> for the vertical wind velocity, and 50 g m<sup>3</sup> for water vapor density, and the removal of sonic temperature data outside the range -20 – 40°C. The removed data are replaced with random values drawn from a Gaussian distribution, with its mean and standard deviation calculated over a 30-s data window.</p> <p>Quality flags are based on the criteria described in Stiperski and Rotach (2016):</p> <ul> <li> <p>-1: More than 10% of the raw data within the averaging period are replaced during the quality control.</p> </li> <li> <p>0: More than 90% of the raw data fulfill the quality control criteria.</p> </li> <li> <p>1: In addition to fulfilling the quality control criteria, the skewness is within the range -2–2 and the kurtosis is less than 8.</p> </li> <li> <p>2: In addition to the above criteria, the stationarity test by Foken and Wichura (1996) is below 30% and the uncertainty is less than 50% based on Stiperski and Rotach (2016) and Wyngaard (1973)</p> </li> </ul> <p><em>Data files</em></p> <ul> <li> <p>i-Box_sites.pdf contains a map of the i-Box stations.</p> </li> <li> <p>list_variables.pdf contains a list of variable names with a short description.</p> </li> <li> <p>SITENAME_15min.zip contains the processed turbulence statistics, split into yearly files. There is more than one file per year if the instrumentation changed during the year or because of memory restrictions during the processing.</p> </li> </ul> <p><em>Acknowledgments</em></p> <p>Data processing was performed in the framework of the TExSMBL (Turbulent Exchange in the Stable Mountain Boundary Layer) project funded by the Austrian Science Fund (FWF) under grant V 791-N. Data were processed on the LEO HPC infrastructure of the University of Innsbruck.</p> <p><em>References</em></p> <p>Aubinet M, Vesala T, D P (eds) (2012) Eddy Covariance. A practical guide to measurements and data analysis. Springer, Dordrecht, DOI 10.1007/978-94-007-2351-1</p> <p>Højstrup J (1981) A simple model for the adjustment of velocity spectra in unstable conditions downstream of an abrupt change in roughness and heat flux. Boundary-Layer Meteorol 21:341–356, DOI 10.1007/bf00119278</p> <p>Kaimal JC, Wyngaard JC, Izumi Y, Coté OR (1972) Spectral characteristics of surface-layer turbulence. Q J R M Soc 98:563–589, DOI 10.1002/qj.49709841707</p> <p>Lehner M, Rotach MW, Sfyri E, Obleitner F (2021) Spatial and temporal variations in near-surface energy fluxes in an Alpine valley under synoptically undisturbed and clear-sky conditions. Q J R M Soc 147:2173–2196, DOI 10.1002/qj.4016</p> <p>Moore CJ (1986) Frequency response corrections for eddy correlation systems. Boundary-Layer Meteorol 37:17–35, DOI 10.1007/BF00122754</p> <p>Rotach MW, Stiperski I, Fuhrer O, Goger B, Gohm A, Obleitner F, Rau G, Sfyri E, Vergeiner J (2017) Investigating exchange processes over complex topography—the Innsbruck Box (i-Box). Bull Amer Meteorol Soc 98:787–805, DOI 10.1175/BAMS-D-15-00246.1</p> <p>Schotanus P, Nieuwstadt FTM, de Bruijn HAR (1983) Temperature measurement with a sonic anemometer and its application to heat and moisture fluxes. Boundary-Layer Meteorol 26:81–93, DOI 10.1007/BF00164332</p> <p>Stiperski, I. and Rotach, M.W. (2016) On the measurement of turbulence over complex mountainous terrain. Boundary-Layer Meteorology, 159, 97–121. DOI 10.1007/s10546-015-0103-z.</p> <p>Van Dijk A, Kohsiek W, de Bruin HAR (2003) Oxygen sensitivity of Krypton and Lyman-α hygrometers. J Atmos Ocean Technol 20:143–151, DOI 10.1175/1520-0426(2003)020¡0143:OSOKAL¿2.0.CO;2</p> <p>Webb EK, Pearman GI, R L (1980) Correction of flux measurements for density effects due to heat and water vapour transfer. Q J R M Soc 106:85–100, DOI 10.1002/qj.49710644707</p> <p>Wyngaard, J.C. (1973). On surface layer turbulence. In D.A. Haugen (Ed.), Workshop on Micrometeorology, American Meteorological Society, pp. 101–150.</p>
Fig. 15 in Integration or minimalism: twenty-one new species of ghost spiders (Anyphaenidae: Anyphaena) from Mexico
Fig. 15. Anyphaena urieli sp. nov. A–F. Paratype, ♂ (CNAN-T01582). G–H. Paratype, ♀ (CNAN-T01581). A. Pedipalp, ventral view. B. Pedipalp, prolateral view. C. Pedipalp, dorsal view. D. Pedipalp, retrolateral view. E. Coxae, ventral view. F. Coxae, lateral view. G. Epigynum, ventral view. H. Epigynum, dorsal view. Scale bars: A–D, G–H = 0.2 mm; E–F = 1.0 mm.
Fig. 15 in Morphology and taxonomic assessment of eight genetic clades of Mercuria Boeters, 1971 (Caenogastropoda, Hydrobiidae), with the description of five new species
Fig. 15. Shells and operculum of Mercuria maceana (Paladilhe, 1869) from C'an Tunis, Barcelona, Spain. A–E. Shells. F. Operculum, inner side. G. Operculum, outer side.
A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment
<p>This dataset contains 1660 images of electric substations with 50705 annotated objects. The images were obtained using different cameras, including cameras mounted on Autonomous Guided Vehicles (AGVs), fixed location cameras and those captured by humans using a variety of cameras. A total of 15 classes of objects were identified in this dataset, and the number of instances for each class is provided in the following table:</p> <table align="center"> <caption>Object classes and how many times they appear in the dataset.</caption> <thead> <tr> <th scope="col">Class</th> <th scope="col">Instances</th> </tr> </thead> <tbody> <tr> <td>Open blade disconnect</td> <td>310</td> </tr> <tr> <td>Closed blade disconnect switch</td> <td>5243</td> </tr> <tr> <td>Open tandem disconnect switch</td> <td>1599</td> </tr> <tr> <td>Closed tandem disconnect switch</td> <td>966</td> </tr> <tr> <td>Breaker</td> <td>980</td> </tr> <tr> <td>Fuse disconnect switch</td> <td>355</td> </tr> <tr> <td>Glass disc insulator</td> <td>3185</td> </tr> <tr> <td>Porcelain pin insulator</td> <td>26499</td> </tr> <tr> <td>Muffle</td> <td>1354</td> </tr> <tr> <td>Lightning arrester</td> <td>1976</td> </tr> <tr> <td>Recloser</td> <td>2331</td> </tr> <tr> <td>Power transformer</td> <td>768</td> </tr> <tr> <td>Current transformer</td> <td>2136</td> </tr> <tr> <td>Potential transformer</td> <td>654</td> </tr> <tr> <td>Tripolar disconnect switch</td> <td>2349</td> </tr> </tbody> </table> <p>All images in this dataset were collected from a single electrical distribution substation in Brazil over a period of two years. The images were captured at various times of the day and under different weather and seasonal conditions, ensuring a diverse range of lighting conditions for the depicted objects. A team of experts in Electrical Engineering curated all the images to ensure that the angles and distances depicted in the images are suitable for automating inspections in an electrical substation.</p> <p>The file structure of this dataset contains the following directories and files:</p> <p> images: This directory contains 1660 electrical substation images in JPEG format.</p> <p>images: This directory contains 1660 electrical substation images in JPEG format.</p> <ul> <li><strong>labels_json: </strong>This directory contains JSON files annotated in the VOC-style polygonal format. Each file shares the same filename as its respective image in the images directory.</li> <li><strong>15_masks:</strong> This directory contains PNG segmentation masks for all 15 classes, including the porcelain pin insulator class. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>14_masks:</strong> This directory contains PNG segmentation masks for all classes except the porcelain pin insulator. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>porcelain_masks:</strong> This directory contains PNG segmentation masks for the porcelain pin insulator class. Each file shares the same name as its corresponding image in the images directory.</li> <li><strong>classes.txt:</strong> This text file lists the 15 classes plus the background class used in LabelMe.</li> <li><strong>json2png.py:</strong> This Python script can be used to generate segmentation masks using the VOC-style polygonal JSON annotations.</li> </ul> <p>The dataset aims to support the development of computer vision techniques and deep learning algorithms for automating the inspection process of electrical substations. The dataset is expected to be useful for researchers, practitioners, and engineers interested in developing and testing object detection and segmentation models for automating inspection and maintenance activities in electrical substations.</p> <p>The authors would like to thank UTFPR for the support and infrastructure made available for the development of this research and COPEL-DIS for the support through project PD-2866-0528/2020—Development of a Methodology for Automatic Analysis of Thermal Images. We also would like to express our deepest appreciation to the team of annotators who worked diligently to produce the semantic labels for our dataset. Their hard work, dedication and attention to detail were critical to the success of this project.</p>
Figures 15–18. Dominican amber Eucnemidae. 15 in The false click beetles (Coleoptera: Elateroidea: Eucnemidae) of the Dominican Republic. Part I: A look into the past
Figures 15–18. Dominican amber Eucnemidae. 15) Euryptychus hispaniolus Otto sp. nov., dorsal view. 16) Euryptychus hispaniolus Otto sp. nov., ventrolateral view. 17) Plesiofornax caribbeanus Otto sp. nov., dorsolateral view. 18) Plesiofornax caribbeanus Otto sp. nov., ventrolateral view. (Scale: 15–18 = 2.0 mm).
Fig. 15 in Revision of the plant bug genus Diognetus, with descriptions of thirteen new species from the Oriental and Eastern Palearctic Regions (Hemiptera: Heteroptera: Miridae)
Fig. 15. Male genitalia of Diognetus insulanus (Yasunaga, 1994) (A−E), D. intonsus Distant, 1904 (F−J) and D. magnificus sp. nov. (K−N). A−B, F−G, K−L − left paramere; C, H, M − right paramere; D−E, I−J, N − vesica (endosoma). Scale bars 0.1 mm.
Fig. 15 in Review of the genus Cybister in China, with description of a new species from Guangdong (Coleoptera: Dytiscidae)
Fig. 15. Cybister danxiaensis sp. nov. (holotype J). A – habitus in dorsal view; B – habitus in ventral view; C – median lobe of aedeagus in lateral view; D – median lobe of aedeagus in ventral view; E – paramere. Scale bars: 5.0 mm (A, B), 1.0 mm (C–E).
Figs 12–15 in A review of the genus Platynectes from the Solomon Islands (Coleoptera: Dytiscidae: Agabinae)
Figs 12–15. Male genitalia of Platynectes. 12 – P. mbaole sp. nov. (holotype); 13 – P. mbaole sp. nov. (paratype, Sutakiki); 14 – P. owaraha sp. nov.; 15 – P. popomanaseu sp. nov. a – median lobe in lateral view; b – parameres. Scale bar = 0.5 mm.
Fig. 15 in Still counting: new records, nomenclatural notes, and three new species of Phaeogenini (Hymenoptera, Ichneumonidae, Ichneumoninae) from the Afrotropical region
Fig. 15. Chauvinia nitida (Heinrich, 1938) (CAS). A. Habitus, lateral view. B. Head, frontal view. C. Metasoma, dorsal view.
Fig. 15 in A reassessment of the Neotropical genus Pseudonannolene Silvestri, 1895: cladistic analysis, biogeography, and taxonomic review (Spirostreptida: Pseudonannolenidae)
Fig. 15. Biogeographic history of the genus Pseudonannolene Silvestri, 1895. The symbols refer to the distribution data of P. scalaris Brölemann, 1902 (black squares), P. rocana Silvestri, 1902 (grey triangles), P. alegrensis Silvestri, 1897 (white triangle), and remaining species (yellow circles).
Figs 15–25 in Terrestrial molluscs of Cabo Delgado and adjacent inland areas of north-eastern Mozambique
Figs 15–25. Cerastidae: (15) Gittenedouardia metuloides, 6.0×3.6 mm, subadult, stn 1; (16) Rhachistia catenata, 13.2×7.8 mm, stn 11; (17) Rachis cunctatoris, 19.1×8.6 mm, stn 5; (18) Limicena nyasana, 11.8×9.1 mm, subadult, stn 7. Achatinidae: (19) Achatina immaculata, 11.3×9.3 mm, juvenile, stn 1; (20) A. randabeli, 43.8×23.0 mm, stn 9. Subulinidae: (21) Kempioconcha cf. obtusa, 39.1×17.5 mm, two shells composite subadult, stn 14; (22) K. kirki, 30.2×13.9 mm, stn 6; (23) K. boivini, 17.8×9.1 mm, stn 5; (24) K. cf. subolivacea, 19.6×7.3 mm, stn 19; (25) K. conradti (von Martens, 1895), 15.4×6.4 mm, stn 5.
Figs 10–15 in Revision of the Afrotropical species of Parapachycerina (Diptera: Lauxaniidae)
Figs 10–15. (10) Profemur of Parapachycerina infuscata sp. n. with ctenidium (comb) of short, stout setulae on anteroventral edge, (11) profemur of P. munroi Stuckenberg without ctenidium, (12) posterior view of P. munroi profemur showing dorsal and ventral rows of setae, (13) presumed grooming comb on distal edge of P. munroi protibia, (14) distoventral mesotibial spurs of P. munroi, (15) sapromyziform costa of P. infuscata sp. n.
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.