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2,019 results for “boundary”
Conodont faunas across the Kasimovian–Gzhelian boundary (late Pennsylvanian) in South China and implications for the selection of the stratotype for the base of the global Gzhelian stage
The upper Pennsylvanian Naqing and Narao carbonate successions were deposited in intra-platform slope to basinal settings across the Kasimovian-Gzhelian boundary in Guizhou, South China. Conodont faunas comprise a mixture of the endemic taxa of the Idiognathodus luodianensis group and cosmopolitan species of the I. simulator group. The I. luodianensis group includes the new species I. fengtingensis, I. luodianensis, I. naqingensis and I. naraoensis. Platform landmark analysis demonstrates that the species of the I. luodianensis group differ in morphological features from co-occurring species of the I. simulator group. Both groups display similar increasing asymmetry in P1 element pairs across the Kasimovian-Gzhelian boundary, as recognized on the basis of the first occurrence of I. simulator. Many Kasimovian Idiognathodus species disappear and several Gzhelian species first appear with I. simulator, including two new species of Streptognathodus, S. nemyrovskae and S. zhihaoi. Just below the base of the Gzhelian, carbonate δ13C falls from 4‰ to 2‰ in both sections. The combination of an abrupt faunal turnover immediately above the prominent negative δ13C excursion might represent an oceanic event in South China, maybe recognizable on a global scale. One of these two South China sections may be the best location to place the GSSP for the base of the Gzhelian Stage.
Cyclic test data of six unreinforced masonry walls with different boundary conditions
<p>Previous test data on unreinforced masonry walls focused on the global response of the wall. A new dataset on six wall tests, which is publically available, allows linking global to local deformations of masonry walls, which can be useful for advancing performance-based design and assessment methods for unreinforced masonry buildings. This data paper presents the<br> results of a test series on six identical unreinforced masonry walls that were constructed using hollow clay brick units and standard cement-based mortar.<br> The test units were subjected to quasi-static cycles of increasing drift demands and the tests differed with regard to the applied axial load and the moment restraint applied at the top of the walls. The walls were tested up to failure. Throughout the loading the deformations of the walls were recorded using a digital photogrammetric measurement system tracking the movement of 312 points per test unit.</p>
NACLIM - Fluxes: (DWBC) Labrador Sea Deep Western Boundary Current transport at 53° N
<p><strong>Last update: 17 October 2014</strong></p> <p><strong>Data set:</strong> Labrador Sea Deep Western Boundary Current (DWBC) transport at 53° N </p> <p><strong>Description:</strong> 5-day averages of DWBC along-shore volume transport as measured at the 53° N mooring array, per water mass in depth layers</p> <p><strong>Period:</strong> July 1997 – April 2012</p> <p><strong>Location:</strong> 53° 0′ N 51° 0′ W </p> <p><strong>Instruments:</strong> Moored rotor current meters (RCM); acoustic current meters (ACM); acoustic Doppler current profilers (ADCP) </p> <p><strong>Variables:</strong> NADW, NEADW, DSOW, LNADW - along-shore volume transport for each water mass (LSW transport may be derived as described in the readme-file)</p> <p><strong>Source: </strong>Johannes Karstensen, Jürgen Fischer and Rainer Zantopp (GEOMAR)</p> <p><strong>About the data: </strong></p> <p>LabSea53N_DWBC.dat (ASCII): This is the updated DWBC transports at 53N in ascii form, including all available data from July 1997 to April 2012</p> <p>LabSea53N_DWBC.nc (netCDF)</p> <p>Plot (JPEG): The export of North Atlantic Deep Water (NADW) from the moored array at the exit of the Labrador Sea. Data at 5day resolution (red and green lines), for 90day low-pass time series (black), and as annual mean transports (blue bars) – see legend in the graph. Transport statistics also included.</p>
Supplementary Material: A Large-Eddy Simulation Study of Vertical Axis Wind Turbine Wakes in the Atmospheric Boundary Layer
<p>Supplementary material for <em>Energies</em> <strong>2016</strong>, <em>9</em>, 366; doi:10.3390/en9050366:</p> <p><strong>Video S1:</strong> Normalized instantaneous streamwise velocity field both on a vertical plane (<em>x</em>-<em>z</em>) going through the center of the turbine and on a horizontal plane at the equator height of the turbine (Note: the physical time corresponding to this video is 1 minute and 17 seconds, and the size of the blades is magnified for illustration purposes).</p> <p><strong>Video S2:</strong> Normalized instantaneous streamwise velocity field on a horizontal plane at the equator height of the turbine for two cases: when the turbine starts to operate (top) and when the flow has reached statistically steady condition (bottom) (Note: the physical time corresponding to both videos is 1 minute and 17 seconds, and the size of the blades is magnified for illustration purposes).</p>
Jingju a cappella singing syllable boundary and duration annotation dataset
<p>This dataset is a collection of syllable boundary annotations and syllable duration annotations of a cappella singing performed by jingju (京剧, Beijing opera) professional and amateur singers. This dataset was used as the experimental dataset in the following work:</p> <blockquote> <p>Rong Gong, Nicolas Obin, Georgi Dzhambazov and Xavier Serra, “Score-Informed syllable segmentation for jingju a cappella singing voice with Mel-frequency intensity profiles," in<em> Folk Music Analysis workshop (FMA) 2017, Málaga, Spain</em></p> </blockquote> <p><strong>Audio Content</strong></p> <p>The audio files are the a cappella singing arias recordings, which are stereo or mono, sampled at 44.1 kHz, and stored as wav files. They can be found at this link http://doi.org/10.5281/zenodo.344932</p> <p>The wav files are recorded by two institutes: those file names ending with ‘qm’ are recorded by C4DM Queen Mary University of London; others file names ending with ‘upf’ or ‘lon’ are recorded by MTG-UPF. If you use the dataset in your work, please cite the following publication.</p> <blockquote> <p>D. A. A. Black, M. Li, and M. Tian, “Automatic Identification of Emotional Cues in Chinese Opera Singing,” in <em>13th Int. Conf. on Music </em><em>Perception and Cognition</em> (ICMPC-2014), 2014, pp. 250–255.</p> </blockquote> <p><strong>Annotations</strong></p> <p>The syllable boundary annotation is in Textgrid format (Praat). The annotation is done in both phrase-level and syllable-level. The syllable duration annotation is in cvs format. Please consult Readme text in both folders for further details. The parsing code of the annotation files is provided in ‘pycode’ folder. </p> <p><strong>Availability of the Dataset</strong></p> <p>The annotations and codes in this dataset are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</p> <p><strong>Contact</strong></p> <p>If you have any questions or comments about the dataset, please feel free to write to us.</p> <p>Rong Gong: rong<dot>gong<at>upf<dot>edu</p> <p>Rafael Caro Repetto: rafael<dot>caro<at>upf<dot>edu</p>
Shifts in Phytoplankton Community Structure Across Oceanic Boundaries
<p>The two datasets "EnvironmentalData.csv" and "PSD_TransitionZone.csv" provide information about the environmental conditions and the distribution of phytoplankton populations in the North Pacific Ocean. </p> <p>Specifically, the "EnvironmentalData.csv" dataset contains measurements of various environmental parameters, including salinity, temperature, nutrient concentrations, and light availability. These measurements were used to characterize the physical and chemical conditions of the different regions sampled during the study, including the North Pacific Subtropical Gyre (NPSG) and the surrounding regions. The dataset include:</p> <ul> <li><strong>cruise</strong>: The identifier for the research cruise.</li> <li><strong>lat</strong>: Latitude.</li> <li><strong>lon</strong>: Longitude.</li> <li><strong>date</strong>: Date and time of the observation.</li> <li><strong>salinity</strong>: Salinity of the water (PSU).</li> <li><strong>temp</strong>: Water temperature (ºC).</li> <li><strong>par</strong>: Photosynthetically Active Radiation (µmol photons m-2 s-1).</li> <li><strong>SiO4</strong>: Silicate concentration (µM).</li> <li><strong>NO3_NO2</strong>: Nitrate and nitrite concentration (µM).</li> <li><strong>PO4</strong>: Phosphate concentration (µM).</li> <li><strong>MLD</strong>: Mixed layer depth (m).</li> <li><strong>light</strong>: Daily averaged PAR (µmol photons m-2 s-1).</li> </ul> <p>The "PSD_TransitionZone.csv" dataset contains information about the abundance, size, and biomass of different phytoplankton populations, including Prochlorococcus, Synechococcus, picoeukaryotes, and nanoeukaryotes. These data were collected using <a href="https://seaflow.netlify.app/">SeaFlow - a custom-built flow cytometer</a>, and were used to investigate how the distribution and composition of phytoplankton communities change in relation to environmental gradients. The dataset include:</p> <ul> <li><strong>cruise</strong>: The identifier for the research cruise.</li> <li><strong>date</strong>: Date and time of the observation.</li> <li><strong>pop</strong>: Population type.</li> <li><strong>lat</strong>: Latitude.</li> <li><strong>lon</strong>: Longitude.</li> <li><strong>n_per_uL</strong>: Number of cells per microliter (10^6 cells µL-1).</li> <li><strong>c_per_uL</strong>: Carbon per microliter (pgC µL-1).</li> <li><strong>qc</strong>: Carbon quotas (pgC/cell).</li> <li><strong>diam</strong>: Diameter (µm).</li> </ul> <p>The R script "analysis.R" perfoms the analysis of the environmental and phytoplankton data in the North Pacific Ocean. The script performs the following steps:</p> <ol> <li><strong>Data Preprocessing</strong>: Cleans and prepares the data for analysis, including handling missing values and converting date/time formats.</li> <li><strong>Diel Trend Extraction</strong>: Extracts diel (day-night) trends from the phytoplankton data using a custom function that decomposes time series data into seasonal, trend, and residual components.</li> <li><strong>Data Merging</strong>: Merges the environmental and phytoplankton data into a single dataset for analysis.</li> <li><strong>Growth Rate Calculation</strong>: Calculates the cellular growth rate of different phytoplankton populations based on changes in their carbon quotas during daylight hours.</li> <li><strong>North Pacific Subtropical Gyre (NPSG) Boundary Definition</strong>: Defines the boundaries of the NPSG based on changes in salinity along the cruise tracks.</li> <li><strong>Binning and Summarization</strong>: Bins the data over distance from the NPSG boundaries and calculates mean and standard deviation for various parameters within each bin.</li> <li><strong>Figure Generation</strong>: Generates several figures, including: <ul> <li>A map showing the cruise tracks and the location of the NPSG.</li> <li>Plots showing the change in environmental parameters (salinity, temperature, nutrients) across the NPSG boundaries.</li> <li>Plots showing the change in phytoplankton biomass, abundance, and growth rate across the NPSG boundaries.</li> <li>A correlation plot showing the relationship between phytoplankton growth, biomass, and environmental parameters.</li> </ul> </li> </ol>
Data Sets: Estimating scalar turbulent fluxes with slow-response sensors in the stable atmospheric boundary layer
<p>Date of data analysis: Statistical analyses conducted throughout the 2023 year </p><p>Information about funding sources that supported the collection of the data:</p><p>The research was supported by the Cooperative Institute for Modeling the Earth System at Princeton University under Award NA18OAR4320123 from the National Oceanic and Atmospheric Administration, and by the US National Science Foundation under award number AGS 2128345. Also, it was supported by the National Defense Science and Engineering Graduate Fellowship from the U.S. Department of Defense and Army Research Office. Similarly, the National Science Foundation provided support to complete the PHOXMELT field studies (Grant PLR- 1417914) to collect the data. Also, the study was supported by the U.S. National Science Foundation (NSF-AGS-2028633) and the Department of Energy (DE-SC0022072).</p><p>The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration.</p><p>This dataset contains the observational data for the two field experiments (Barrow and Wendell) in .nc file format.</p>
Fig. 39. A–P in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 39. A–P. Discoscaphites iris (Conrad, 1858), uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A– D. AMNH 47105, microconch. A, Right lateral; B, apertural; C, ventral; D, left lateral. E–H. AMNH 51056, microconch. E, Right lateral; F, apertural; G, ventral; H, left lateral. I, J. AMNH 37359, dimorph indeterminate. I, Ventral; J, left lateral. K–M. AMNH 47368, dimorph indeterminate. K, Right lateral; L, ventral; M, left lateral. N–P. AMNH 47105, dimorph indeterminate. N, Right lateral; O, apertural; P, ventral. Q–T. Discoscaphites minardi Landman et al., 2004, AMNH 47369, microconch, same locality as A–P. Q, Right lateral; R, apertural; S, ventral; T, left lateral. U–X, c–f. Discoscaphites spp., same locality as A–P. U–X. AMNH 47371. U, Right lateral; V, apertural; W, ventral; X, left lateral. c– f. AMNH 47374. c, Right lateral; d, apertural; e, ventral; f, left lateral. Y–Z, a, b. Discoscaphites gulosus (Morton, 1834), AMNH 47106, same locality as A–P. Y, Right lateral; Z, apertural; a, ventral; b, left lateral. All figures are X1.
Fig. 36. A–H, K–Q, S–Z, l–p in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 36. A–H, K–Q, S–Z, l–p. Discoscaphites iris (Conrad, 1858), cluster 1, uppermost New Egypt Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–D. AMNH 47355, macroconch with a repaired injury. A, Right lateral; B, apertural; C, ventral; D, left lateral. E– H. AMNH 47351, macroconch. E, Right lateral; F, apertural; G, ventral; H, left lateral. K–M. AMNH 47347, macroconch. K, Right lateral; L, apertural; M, ventral. N–Q. AMNH 47343, dimorph indeterminate. N, Right lateral; O, apertural; P, ventral; Q, left lateral. S–V. AMNH 47349, dimorph indeterminate. S, Right lateral; T, apertural; U, ventral; V, left lateral. W–Z. AMNH 47339, dimorph indeterminate. W, Right lateral; X, apertural; Y, ventral; Z, left lateral. l–n. AMNH 47336, dimorph indeterminate. l, Apertural; m, ventral; n, left lateral. o, p. AMNH 47332, dimorph indeterminate. o, Right lateral; p, ventral. I, J, R, a–k, q–v. Discoscaphites spp., same loc. as A–H. I, J. AMNH 47350. I, Right lateral; J, apertural; R. AMNH 51063, right lateral. a–d. AMNH 47328. a, Right lateral; b, apertural; c, ventral; d, left lateral. e, f. AMNH 47324. e, Right lateral; f, ventral. g–j. AMNH 47335. g, Right lateral; h, apertural; i, ventral; j, left lateral. k. AMNH 47391, left lateral. q–s. AMNH 47329. q, Right lateral; r, ventral; s, left lateral. t–v. AMNH 47340. t, Right lateral; u, ventral; v, left lateral. All figures are X1.
Fig. 33. A–T in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 33. A–T. Eubaculites sp. Upper New Egypt Formation, 1.5–2 m below the base of the Hornerstown Formation, AMNH loc. 3346, northwest of Eatontown, Monmouth County, New Jersey. A– E. MAPS A2053c1. A, Right lateral; B, dorsal; C, ventral; D, left lateral; E, whorl cross section at adapical end. F–J. AMNH 47160. F, Right lateral; G, dorsal; H, ventral; I, left lateral; J, whorl cross
Fig. 31 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 31. Eubaculites latecarinatus (Brunnschweiler, 1966). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–E. AMNH 47273. A, Right lateral; B, dorsal; C, ventral; D, left lateral; E, whorl cross section
Fig. 38 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 38. Discoscaphites iris (Conrad, 1858), microconchs, cluster 2, uppermost New Egypt Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–D. AMNH 47363. A, Right lateral; B, apertural; C, ventral; D, left lateral. E–H. MAPS A2060a2. E, Right lateral; F, apertural; G, ventral; H, left lateral. I–L. MAPS A2060a3. I, Right lateral; J, apertural; K, ventral; L, left lateral. M–P. AMNH 51055. M, Right lateral; N, apertural; O, ventral; P, left lateral. Q–T. AMNH 47308. Q, Right lateral; R, apertural; S, ventral; T, left lateral. All figures are X1.
Fig. 35 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 35. Discoscaphites iris (Conrad, 1858), macroconchs, cluster 1, uppermost New Egypt Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–D. AMNH
Fig. 30. A, B in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 30. A, B. Eubaculites carinatus (Morton, 1834). Uppermost New Egypt Formation and basal Hornerstown Formation, Parkers Creek, northwest of Eatontown, Monmouth County, New Jersey. A. AMNH 47253, last suture at a whorl height of approximately 12.9 mm. B. MAPS A2058a6, parts of the last and next to last suture at a whorl height of approximately 19.1 mm. C, D. Eubaculites latecarinatus (Brunnschweiler, 1966), same locality as A, B. C. AMNH 47493, last suture and parts of third and fourth to last sutures, at a whorl height of approximately 11.4 mm. D. AMNH 47501, at a whorl height of approximately 12.2 mm.
Fig. 29 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 29. Eubaculites carinatus (Morton, 1834). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A– E. MAPS A2058a4. A, Right lateral; B, dorsal; C, ventral; D, left lateral; E, whorl cross section at
Fig. 28 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 28. Eubaculites carinatus (Morton, 1834). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A– C. AMNH 47508. A, Left lateral; B, ventral; C, dorsal. D–G. AMNH 47272. D, Left lateral; E, ventral; F, dorsal; G, right lateral. H–K. AMNH 47409. H, Right lateral; I, ventral; J, dorsal; K, whorl cross
Fig. 37. A–l in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 37. A–l. Discoscaphites iris (Conrad, 1858), cluster 1, uppermost New Egypt Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–D. AMNH 51057, compressed microconch. A, Right lateral; B, apertural; C, ventral; D, left lateral. E–H. AMNH 47354, microconch. E, Right lateral; F, apertural; G, ventral; H, left lateral. I–L. AMNH 51058, microconch. I, Right lateral; J, apertural; K, ventral; L, left lateral. M–P. AMNH 47342, microconch. M, Right lateral; N, apertural; O, ventral; P, left lateral. Q–T. AMNH 47356, microconch. Q, Right lateral; R, apertural; S, ventral; T, left lateral; U–X. AMNH 47352, dimorph indeterminate. U, Right lateral; V, apertural; W, ventral; X, left lateral. Y–b. AMNH 47346, microconch. Y, Right lateral; Z, apertural; a, ventral; b, left lateral. c–f. AMNH 47353, microconch. c, Right lateral; d, apertural; e, ventral; f, left lateral. g, h. AMNH 47345, microconch. g, Right lateral; h, ventral. i–l. AMNH 47337, microconch. i, Right lateral; j, apertural; k, ventral; l, left lateral. m, n. Discoscaphites sp., AMNH 47338, same locality as A–l. m, Right lateral; n, ventral. All figures are X1.
Fig. 34 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 34. Discoscaphites iris (Conrad, 1858). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–D. AMNH 51060, robust macroconch. A, Right lateral; B, apertural; C, ventral; D, left lateral. E–H. MAPS A2060a1, robust macroconch. E, Right lateral; F, apertural; G, ventral; H, left lateral. I, J. MAPS A2060a4, robust microconch with matrix still attached. I, Right lateral; J, ventral. K–M. AMNH 47366, coarsely ornamented macroconch. K, Ventral; L, apertural; M, left lateral. N–P. AMNH 47365, macroconch. N, Right lateral; O, apertural; P, ventral. Q–U. AMNH 47367, macroconch with peel of inner whorls. Q, Right lateral; R, apertural; S, peel of inner whorls; T, ventral; U, left lateral. V, W. AMNH 47372, dimorph indeterminate. V, Right lateral; W, ventral. All figures are X1.
Fig. 27 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 27. Eubaculites carinatus (Morton, 1834). Uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A–E.
Fig. 26 in Cephalopods From The Cretaceous/Tertiary Boundary Interval On The Atlantic Coastal Plain, With A Description Of The Highest Ammonite Zones In North America. Part 2. Northeastern Monmouth County, New Jersey
Fig. 26. Sphenodiscus sp. AMNH 47119, uppermost New Egypt Formation and basal Hornerstown Formation, AMNH loc. 3345, northwest of Eatontown, Monmouth County, New Jersey. A, Left lateral of phragmocone fragment; B. apertural of part of specimen. All figures are X1.
ScienceDex guides
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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.