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1,055 results for “Bridge”
A Comprehensive Framework for Life-Cycle Cost Assessment of Reinforced Concrete Bridge Decks
<p>Corresponding data set for Tran-SET Project No. 18STOKS02. Abstract of the final report is stated below for reference:</p> <p>"Various environmental and mechanical stressors cause deterioration of concrete bridge decks. Normal wear and tear, freeze and thaw cycles, and chloride penetration due to deicing salts can cause aggressive deterioration that usually require frequent interventions during the life-cycle of the bridge. These interventions include deck maintenance and repairs (e.g., application of sealers or overlay placement) as well as bridge deck replacement. The quantification of the life-cycle cost of bridge decks considering maintenance and repair activities represents a significant challenge facing local and state transportation agencies. The life-cycle maintenance activities not only increase the direct life-cycle cost of the bridge, but they also lead to significant indirect user costs due to increasing traffic delays, work zone crashes, and operating cost. Moreover, these traffic delays increase the carbon footprint of the bridge and adversely affect the life-cycle bridge sustainability. Accordingly, the proper quantification of indirect costs associated with life-cycle bridge management activities including maintenance, repair, and rehabilitation activities is of paramount importance. The research attempts to fill in the knowledge gaps in quantifying the indirect costs associated with bridge deck maintenance activities and their impact on the overall bridge life-cycle cost."</p>
Dataset for the paper "Network-Based Differential Abundance Analysis: Bridging Community Interactions and Host-Microbiome Dynamics."
<p>The files with extension rds are files that contain simulated data and the tsv files contain original data along with their meta data.</p>
A conserved fertilization complex bridges sperm and egg in vertebrates
<p>This depository contains the data associated to all Parallel Reaction Monitoring Mass Spectrometry experiments presented in Deneke, Blaha et al, 2024. doi:10.1016/j.cell.2024.09.035</p>
Project files provided as supporting information to the manuscript "How Communication Pathways Bridge Local and Global Conformations in an IgG4 Antibody: a Molecular Dynamics Study"
<p>June 23, 2021</p> <p>Thomas Tarenzi, Marta Rigoli and Raffaello Potestio</p> <p>==================================</p> <p>The dataset contains the following folders:</p> <p>- contact_area_binding_site: files with the computed surface area, used for the calculation of the contact area between PD-1 and the antibody Fab (Fig. S41).</p> <p>- hbonds_ab-pd1: number of hydrogen bonds between the antigen and the antibody, for each holo cluster (Fig. S41).</p> <p>- mutual_information: matrices with the computed mutual information, for each pair of residues (Fig. S34, S35, S46). The folder contains also the generalized correlation coefficients (Fig. S43) and the correlation scores (Fig. 4, S44, S45), computed from the mutual informations.</p> <p>- networks: communities - for each cluster, each residue is assigned to a community within the interaction network (Fig. S32, S33). betweenness - the values of edge betweenness for each cluster (S30, S31).</p> <p>- output_clustering: each frame of the apo and holo simulations is assigned a cluster index, on the basis of the structural similarity (Fig. S4).</p> <p>- PAD: per-residue values of PAD parameter, for apo and holo systems (Fig. 3, S39).</p> <p>- PCA: principal component analysis for each conformational cluster (Section S2.1).</p> <p>- representative_structures: representative structures for each conformational cluster (Fig. 2).</p> <p>- r_gyr_antibody: radii of gyration of the antibody, for each cluster (Fig. 2).</p> <p>- r_gyr_hinge: radii of gyration of the sole hinge segment, for each cluster (Fig. S36).</p> <p>- RMSD_antibody: distributions of the root-mean-square deviation of the antibody, for each cluster (Fig. S5). </p> <p>- RMSD_antigen: root-mean-square deviation of the antigen PD-1, for each cluster (Fig. S42).</p> <p>- RMSD_binding_site: distributions of the root-mean-square deviation of the residues belonging to the paratope, for each cluster (Fig. S40, S47).</p> <p>- RMSD_matrix: root-mean-square deviation between structures belonging to different pairs of clusters (Fig. S9).</p> <p>- rmsf_antigen: root-mean-square fluctuation of the antigen PD-1, for each cluster (Fig. S42).</p> <p>- rmsf_hinge: difference between the total root-mean-square fluctuations of the two hinge segments, for each cluster (Fig. S38).</p> <p>- salt_bridge: distribution of distances between residues R979 and D1377 (Fig. 4).</p> <p>- sasa_domains: contact area between Fab and Fc antibody domains, for each cluster (Fig. S8).</p> <p>- sasa_hinge: solvent accessible surface area of each hinge segment, for each cluster (Fig. S37).</p>
VAMONOS - Flow through bridges. Experimental data.
<p>This dataset contains the results from the experimental tests carried out at the hydraulics laboratory of the Civil Engineering School, at University of A Coruña (Spain), as part of the VAMONOS (Vertically-averaged models for non-hydrostatic flows) project (CTM2017-85171-C2-2-R). The aim of the project is the development of enhanced 2D river flow models including additional terms to account for non-hydrostatic pressure and mixed flow conditions around hydraulic structures.</p> <p>This data package includes experimental results on 4 bridge geometries that were tested in an open channel. The experimental facility consists of a 15 m flume with a square cross-section of 0.5 x 0.5 m. Water depths were measured with an automatic positioner on a grid of approximately 117 points. In whole, 32 experimental tests have been carried out under different flow conditions.</p> <p>This dataset is structured in the following pdf documents and folders:</p> <ul> <li>. This file summarizes all the experimental tests.</li> <li>. This file includes information about the experimental facilities, the test conditions and the uploaded files.</li> <li><em>.pdf</em>. This file includes a 3D representation of the water depths measured in each experimental test.</li> <li>This folder includes the raw data registered in the experimental tests.</li> <li><em>Matlab_files. </em>This folder contains three Matlab files (.m) that can be used to process the raw data, to plot the results and to generate a document with information about the test.</li> <li><em>Processed_data. </em>This folder contains, for each structure, a pdf with the structure geometry and a text file per test with the water surface elevations measured.</li> </ul> <p><strong>Those interested in experimental data for the calibration of numerical models or the analysis of empirical discharge rating curves, are suggested to work only with the data included in the folder <em>Processed_data</em></strong><em>.</em></p> <p>Further details on the experimental setup are given in the document <em>Data_package_description.pdf.</em></p>
Raw data for "X-ray studies bridge the molecular and macro length scales during the emergence of CoO assemblies"
<p><strong>Raw data for „X-ray studies bridge the molecular and macro length scales during the emergence of CoO assemblies“</strong></p> <p><strong>TEM and SEM</strong></p> <ul> <li>SEM image of CoO assemblies after 90 min</li> <li>TEM images of CoO assemblies after 5, 10, 15, 20, 40, 60 and 90 min</li> <li>HR-TEM images of CoO assemblies after 90 min</li> <li>ED patterns of CoO assemblies after 10, 15 and 20 min</li> </ul> <p><strong>HERFD-XANES</strong></p> <p>In situ spectra for the CoO synthesis at 160°C were recorded at beamline ID26 at the European Synchrotron Radiation Facility (ESRF), Grenoble, France. Using a Si (111) double crystal monochromator, the incident energy was varied from 7.70 to 7.78 keV. The emitted fluorescence was measured with an emission spectrometer in Rowland geometry with five Si (531) analyzer crystals aligned at the Bragg angle of 77°. HERFD-XANES spectra were recorded in continuous scan mode every 80 s with average energy steps of 0.05 eV. The data set consists of one file containing a sequential set of energy scans, representing the pre- and main edge regions of the HERFD-XANES spectra.</p> <p>Important column identifiers:</p> <ul> <li>incident energy: “arr_hdh_ene”</li> <li>incident intensity: “I02”</li> <li>fluorescence intensity: “apd”</li> </ul> <p><strong>X-ray total scattering</strong></p> <p>Data was taken at beamline P21.1 of PETRA III at Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany. Diffraction patterns were recorded every 10 s at an X-ray energy of 102.92 keV (λ = 0.121 Å) with an XRD1621 detector (Perkin Elmer Inc., USA) with a pixel size of 200 × 200 μm² and a sample-to-detector distance of 0.411 m. The dataset consist of</p> <ul> <li>in situ data set of CoO nanoassembly synthesis at 160°C</li> <li>in situ data set of CoO nanoassembly synthesis at 140°C</li> <li>ex situ samples prepared at 160 °C at different times</li> <li>commercial reference compounds in powder and 0.1 M BnOH solution</li> </ul> <p>data format: 2D scattering patterns in .tif format</p> <p>The total scattering data is split into individual archives for the above subsets.</p> <p><strong>SAXS and PXRD</strong></p> <p><strong>data set “laboratory_SAXS_data”:</strong></p> <p>Data were recorded with the laboratory molybdenum anode microfocus X-ray setup at LMU, Munich. SAXS data are multiple successive 20 min exposures. Transmission data are 10 s exposures with the beamstop removed.</p> <p>data format: .tif detector images recorded with a Dectris Pilatus 300K.<br> <em>X-ray wavelength:</em> 0.71075 Angstrom<br> Calibrant for sample-to-detector distance, beam center and detector tilt: Silver behenate (AgBeh)</p> <p><strong>data set “synchrotron_SAXS_data”:</strong></p> <p>Data were recorded at beamline P03 at PETRA III, DESY, Hamburg. Data are recorded separately at a long and a short sample-to-detector distance. At the long distance, the exposure time is 5x0.1s. At the short distance, the exposure time is 1x0.5s.</p> <p>data format: .cbf detector images recorded with a Dectris Pilatus 1M.<br> X-ray wavelength: 0.961 Angstrom<br> Calibrant for sample-to-detector distance, beam center and detector tilt: Silver behenate (AgBeh) </p> <p><strong>data set “laboratory_PXRD_data”:</strong></p> <p>Data were recorded with the laboratory molybdenum anode microfocus X-ray setup at LMU, Munich. The overlap for stitching is 10 px in both horizontal and vertical direction.</p> <p>The recording sequence is<br> 01 02 07<br> 03 04 08<br> 05 06 09<br> 10 11 12<br> 13 14 15<br> with 3 images at each position, to take the median. The exposure time per image is 1200 s.</p> <p>For LaB6 the sequence is<br> 01 02<br> 03 04<br> 05 06<br> 07 08<br> 09 10<br> with 5 images at each position, to take the median. The exposure time per image is 300 s.</p> <p>data format: .tif detector images recorded with a Dectris Pilatus 100K.<br> X-ray wavelength: 0.71 Angstrom<br> Calibrant for sample-to-detector distance, beam center and detector tilt: Lanthanum hexaboride NIST SRM 660c (LaB6)</p>
Source Data for Crowdsourcing Bridge Dynamic Monitoring with Smartphone Vehicle Trips
<p>This data accompanies the study "Crowdsourcing Bridge Dynamic Monitoring with Smartphone Vehicle Trips" published in (Nature) Communications Engineering. This paper focuses on using large and inexpsensive datasets for obtaining information on the dynamics of bridges. In this study, data is collected by smartphones in moving vehicles as the cross over a bridge, in three distinct applications. Smartphone data was collected in controlled field experiments and uncontrolled Uber rides on a long-span suspension bridge in the USA (The Golden Gate Bridge) and an analytical method was developed to accurately recover modal properties. The method was also successfully applied to partially-controlled crowdsourced data collected on a short-span highway bridge in Italy. The results suggest that larve and inexpensive datasets collected by smartphones could play a role in monitoring the health of existing transportation infrastructure.</p> <p>The data provided includes the source data for the figures in the publication as well as the "controlled data" referenced in the study.</p>
Data from: Augmin prevents merotelic attachments by promoting proper arrangement of bridging and kinetochore fibers
<p>The human mitotic spindle is made of microtubules nucleated at centrosomes, at kinetochores, and from pre-existing microtubules by the augmin complex. However, it is unknown how the augmin-mediated nucleation affects distinct microtubule classes and thereby mitotic fidelity. Here we use superresolution microscopy to analyze the previously indistinguishable microtubule arrangements within the crowded metaphase plate area and demonstrate that augmin is vital for the formation of uniformly arranged parallel units consisting of sister kinetochore fibers connected by a bridging fiber. This ordered geometry helps both prevent and resolve merotelic attachments. Whereas augmin-nucleated bridging fibers prevent merotelic attachments by creating a nearly parallel and highly bundled microtubule arrangement unfavorable for creating additional attachments, augmin-nucleated k-fibers produce robust force required to resolve errors during anaphase. STED microscopy revealed that bridging fibers were impaired twice as much as k-fibers following augmin depletion. The complete absence of bridging fibers from a significant portion of kinetochore pairs, especially in the inner part of the spindle, resulted in the specific reduction of the interkinetochore distance. Taken together, we propose a model where augmin promotes mitotic fidelity by generating assemblies consisting of bridging and kinetochore fibers that align sister kinetochores to face opposite poles, thereby preventing erroneous attachments.</p>
Data for: Bridging the gap between microclimate and microrefugia: A bottom‐up approach reveals strong climatic and biological offsets
<p>In the context of global warming, a clear understanding of microrefugia, microsites enabling the survival of species populations outside their main range limits, is crucial. Several studies have identified forcing factors that are thought to favor the existence of microrefugia. However, there is a lack of evidence to conclude whether, and to what extent, the climate encountered within existing microrefugia differs from the near surrounding climate. So, we adopt a "bottom-up" approach, linking marginal disconnected populations to microclimate.</p> <p>We used the southernmost disconnected and abyssal populations of the circumboreal herbaceous plant <em>Oxalis acetosella</em> in Southern France to study whether populations matching the definition of "microrefugia" occur in particularly favorable climatic conditions compared to neighboring control plots distant about 50 m to 100 m. Temperatures were recorded in putative microrefugia and in neighboring plots for approximately 2 years to quantify their thermal offsets. Vascular plant inventories were carried out to test whether plant communities also reflect microclimatic offsets.</p> <p>We found that current microclimatic dynamics are genuinely at stake in microrefugia. Microrefugia climates are systematically colder compared to those found within 50 m to 100 m distant. This pattern was more noticeable during the summer months. Abyssal populations showed stronger offsets compared to neighboring plots than the putative microrefugia occurring at higher altitudes. Plant communities demonstrate this strong spatial climatic variability, even at such a microscale approach, as species compositions systematically differed between the two plots, with species more adapted to colder and moister conditions in microrefugia compared to the surrounding area.</p>
Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau
<p>This is the key model data of "Potential Impact of Winter–Spring North Atlantic Tripole SSTAs on the Following Autumn–Winter El Niño–Southern Oscillation: Bridging Role of the Tibetan Plateau". The data includes the last 25 years data of the CTRL experiment, and 25 years data of the CTRL_NTP experiment, the NA_ST experiment, and the NA_ST_NTP experiment, respectively. "2D" is two-dimensional variables , "3D" is three-dimensional variables, and "pottmp" is ocean potential temperature.</p>
Bridging the gap: Optimising connectivity solutions for an arboreal gliding mammal
<p>Connectivity modelling tools are important for developing mitigation strategies to alleviate negative impacts on animal movement caused by road networks. Arboreal gliding mammals are especially vulnerable to road widening as they are unable to cross gaps beyond their gliding capacity. However, there are limitations of conventional raster-based modelling techniques when applied on this group. We developed and applied a new model that quantifies the changes in connectivity for an arboreal gliding species, the Sunda colugo, in Singapore using information on species-specific glide performance through a vector-based GIS approach. We also incorporated a genetic algorithm to determine optimal locations for sets of glide poles that could be installed to improve connectivity. Expectedly, connectivity was heavily impacted by the road widening works, with a 93.3% decrease in the total number of feasible glide paths connecting roadside trees. Nine glide poles installed during the construction phase of the project were initially uninformed by the connectivity model and they provided 26 additional connections only. Comparatively, the top nine pole locations identified through the genetic algorithm provided 247 additional connections, almost 10 times more than the amount supplied by the initial nine glide pole locations determined through qualitative methods. The multi-objective capacity of the genetic algorithm also reduced large connectivity gaps post-development, with simulated glide poles increasing the percentage of pixels covered with connectivity from 16.1% to 27.7%. </p> <p>Synthesis and applications: Our model fills a knowledge gap in connectivity modelling for arboreal gliding mammals whose movements are affected by varying habitat alterations. We demonstrated that locations of mitigation structures greatly influence the success of mitigation efforts and the locations can be optimized by incorporating the glide performance of the species into the genetic algorithm. Given limited conservation resources, this approach would benefit managers in formulating cost-effective efforts for arboreal gliding mammals.</p>
dataset for "Corner-bridge flow as pore-scale flow mechanism controlling capillary pressure curve at low saturations"
<p>dataset for "Corner-bridge flow as pore-scale flow mechanism controlling capillary pressure curve at low saturations", including raw images from drainage experiments</p>
A Benchmark Dataset for Vision-based Bridge Traffic Load Monitoring in a Cable-stayed Bridge
<p>Traffic load monitoring based on deep learning and computer vision has garnered significant attention in bridge engineering worldwide. Unlike traditional traffic load monitoring systems, computer vision-based techniques can accurately extract the spatiotemporal load distribution across the entire bridge in an autonomous manner. However, many of the related studies in the literature used datasets that were collected from a few specific areas of different bridges, and there are very limited datasets that provide complete coverage of the entire bridge, making a detailed comparison of different methods difficult. This paper presents a benchmark dataset that provides a series of annotations and field measurements required for traffic load detection, tracking and continuous monitoring on the bridge. The dataset was collected by five cameras, and two weigh-in-motion systems installed on a cable-stayed bridge and is divided into three subsets. The first subset contains over 32,000 images and annotation files of eleven types of vehicle-related targets, which are necessary for the training of vehicle detection models. The second subset consists of photos of the calibration board and coordinates of reference points that are used for camera calibration. The last subset is designated for the field verification of various algorithms, providing synchronized vehicle weight data and monitoring videos covering the whole bridge. To the author’s knowledge, this dataset is the first open-source dataset for vision-based traffic load monitoring in a bridge, which will have tremendous value in promoting research in the area of innovative bridge health monitoring technologies.</p>
Increasing Bridge Durability and Service Life with LIDAR Enhanced Unmanned Aerial Systems (UAS)
<p>Bridge construction inspections require quantitative measurements and location information. The conventional approach is visual inspection, which in general, is rather time-consuming, expensive due to traffic closure, subjective, and needs special access. Therefore an automated rebar layout detection algorithm was developed to quickly extract quantitative rebar layout information from the LiDAR data. This systematic method can automatically cluster the bridge elements from a 3D point cloud by using LiDAR-equipped UAS data collection and unsupervised machine learning techniques. A new automated inspection system using a LIDAR-equipped UAS can eventually if developed and tested be more reliable as well as less expensive. In the future, if it can be automatized, it can be implemented to simplify the complexity of inspections. The authors developed a platform to mount the camera, sonar laser, and DAQ on the UAS and remotely controlled the data collection operation. Additionally, an algorithm was developed which can automatically obtain the geometric information of the rebar. The proposed automated RGBD-equipped UAS system was developed, fabricated, and tested in the Balloon Fiesta Park on a simulated bridge deck at different heights and with different UAS motions to obtain the best distance, speed, and motion for real construction field. The authors also conducted an outdoor experiment in a construction field at White Rock to validate the capability of the proposed system on the real site with vertical rebar and the challenges of the real construction site. The result confirmed that the LIDAR-equipped UAS system has the potential to help the inspection process in terms of time, accuracy, safety, and generating a permanent record of the inspection. Bridge construction information collected by LiDAR-equipped UAS technology can eventually provide bridge managers with transparent condition assessment and one-step decision-making support through quantitative measurement combined with 3D visualization to facilitate repair planning that can greatly facilitate maintenance.</p>
Comparative Analysis of 3D Printed Bridge Construction in Louisiana
<p>A construction 3D printing system could result in automated infrastructure development at reduced cost and time, significantly boosting overall productivity. Although there has been a growing interest in using construction 3D printing for projects such as house construction, implementing this innovative technology for infrastructure development, particularly bridge construction, has not been investigated as extensively. This study aims to compare the environmental impact of precast and 3D concrete printing (3DCP) techniques with a pedestrian bridge case study, located in Louisiana, where the bridge elements were 3D printed off-site and then transported and assembled on the bridge site. A detailed cradle-to-site life cycle assessment has been performed from the standpoint of material, construction, and installation stages, using an open-source software called OpenLCA. The results of this study showed that the mixtures commonly used in 3DCP have a higher negative environmental impact compared to the precast method due to the higher percentage of cement used in these materials. However, since 3DCP used less material than the precast technique, there is no significant difference in the environmental impact of the total concrete used between the 3DCP and precast bridges. In addition, due to the use of reinforcement and formwork in the precast technique, the environmental impact of the total materials used in the precast bridge was more adverse than the 3DCP bridge. Notably, due to use of electricity for printing, the negative environmental impact of the construction process in 3DCP was significantly higher than in the precast technique. Finally, the total carbon dioxide equivalent emitted during the construction of the 3DCP bridge was 80% of the precast bridge.</p>
APPENDIX 13 in Detangling the effects of patch attributes on bryophyte diversity in fragmented subtropical secondary forests - a case study of land-bridge islands
APPENDIX 13. — Islands with multi-long branched appearance in the Thousand Island Lake, China.
Schroedinger Bridge Refinement Fast and Full Sim Data
<p>Electron showers in a 10x10 calorimeter simulated with fast simulation methods (GFlash) and full simulation (Geant4). These showers were used for the Schroedinger Bridge Refinement project.<br> 4 different electron energy settings are available:<br> - randomly sampled between 10 and 100 GeV (split into a training and eval set)<br> - 20 GeV<br> - 50 GeV<br> - 80 GeV</p> <p>Each set contains 100k showers. Each shower is a 201-dimensional object, where the first 100 dimensions correspond to the deposited energies in the 10x10 calorimeter cells, the next 100 dimensions. describe the total number of depositions in the cells (not used in the refinement project) and the final dimension gives the incident electron energy. The energy depositions are in units of [GeV], the incident particle energy in units of [MeV]</p>
Building bridges: mapping diverse classifications for a seamless user navigation experience
<p>This paper describes a BBC project to unify Archive and Production workspaces, during<br> which numerous issues with managing different types of metadata and Knowledge Organi-<br> sation Systems (KOSs) were encountered. Integrating diverse content silos requires bringing<br> together not simply the assets, but also the metadata used to manage those assets. The paper<br> summarises the theoretical background to the project, the BBC’s ‘information ecosystem’,<br> and the user research and requirements-gathering exercises undertaken.<br> Much work on developing metadata crosswalks has been at the heading or label level, and<br> not based on semantic analysis of the content of the labelling or description. However, such<br> semantic analysis needs to be undertaken when mapping diverse taxonomies, thesauri, and<br> keyword lists and, in practice, often needs to balance preservation of local or specialised<br> terminology with accessibility for general users. Just as metadata about content permits the<br> organization of that content, so metadata about metadata (parametadata, or meta-metadata)<br> permits the organization of metadata, enabling end users to make informed browse and<br> navigation choices. Increasingly, in order to integrate content, different KOSs, such as<br> taxonomies and ontologies, need to be related.<br> The paper concludes by summarising the ways in which problems that arose during the<br> integration project were resolved, and how policies for managing parametadata, subjective<br> metadata, and semantic-level mapping were developed.</p>
Data for the manuscript "Bridged Nucleic Acid ASOs over Locked Nucleic Acid ASOs and their impact on the structure and stability of ASO/RNA duplexes"
<p>The dataset contains: DFT and MD Data for the manuscript "Bridged Nucleic Acid ASOs over Locked Nucleic Acid ASOs and their impact on the structure and stability of ASO/RNA duplexes". </p> <p> </p> <p> </p>
Dataset from structural health monitoring of a steel bridge in Sweden
<p>The dataset consists of sensor data from the Vänersborg Bridge in Sweden, comprising 64 bridge opening events registered as accelerations, strains, inclinations, and weather conditions. Data from before, during, and after a verified fracture are provided. The sample of raw data captured the same bridge opening event multiple times over the monitoring duration. Classifying data before and after damage enables the development and verification of routines for novelty detection. </p>
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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.