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11,506 results for “Dynamics”
A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China
<p>The daily streamflow data extracted from 8 selected stations from the Huaihe and Yangtze River Basins, China.</p>
Airflow dynamics and aeolian sand transport across a beach-climbing dune-clifftop dune system
<p>This study presents an analysis of wind flow and sediment transport from the beach, up a 50m high, long (130m), steep (mean slope 26°) climbing dune and across a 1.5 m high max, 85 m long and 17.5 m wide clifftop dune 30km south of Dakhla in Morocco, NW Africa during highly oblique incident wind conditions. Multiple 2D sonic and cup/vane anemometers and sand traps were utilised for measurements. Flow steering was significant on the upper climbing dune. Flow deceleration occurred near the dune toe, and topographic forcing of flow was considerable on the upper slopes of the climbing dune. Near-surface flow steadiness (CV<sub>U1</sub>, CV<sub>U0.25</sub>) on the climbing dune straight slope segment was low and constant The distance upslope over which the airflow reached the speed comparable to that on the beach increases as the incident wind speed increases. The greatest flow acceleration and speed-up was observed at the cliff edge reaching 250% at 1m height and 220% at 0.25m height for the lowest incident wind speed class (4-5 m/s). The sand transport rate declined from the beach to the climbing dune toe and lower slope, but at the uppermost section of the climbing dune was 4 times higher than at the beach for the 7-8m/s incident wind speed. Sand in aeolian transport was generally finer than surface sand with mean grain size increasing up the slope. A comparison of the sand transport data collected with sand transport models, and the effects of slope on aeolian transport are also examined.</p>
Dataset for "Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film"
<p>The dataset consist of the data used to prepare the figures for the manusript entitled <em>Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film.</em> </p> <p>Please read README.txt file to see the description of the data in the files.</p>
Data and code from: Breakdown in seasonal dynamics of subtropical ant communities with land-cover change
<p><span>Concerns about widespread human-induced declines in insect populations are mounting, yet little is known about how land-use change modifies the dynamics of insect communities, particularly in understudied regions. Here, we examine how the seasonal activity patterns of ants—key drivers of terrestrial ecosystem functioning—vary with anthropogenic land-cover change on a subtropical island landscape, and whether differences in temperature or species composition can explain observed patterns. Using trap captures sampled biweekly over two years from a biodiversity monitoring network covering Okinawa Island, Japan, we processed 1.2 million individuals and reconstructed activity patterns within and across habitat types. Forest communities exhibited greater temporal variability of activity than those in more developed areas. Using time-series decomposition to deconstruct this pattern, we found that sites with greater human development exhibited ant communities with diminished seasonality, reduced synchrony, and higher stochasticity compared to sites with greater forest cover. Our results cannot be explained by variation in regional or site temperature patterns, or by differences in species richness or composition among sites. Our study raises the possibility that disruptions to natural seasonal patterns of functionally key insect communities may comprise an important and underappreciated consequence of global environmental change that must be better understood across Earth's biomes.</span></p>
Microscopic defect dynamics during a brittle-to-ductile transition
<p>Description of Data employed in “<em>Microscopic defect dynamics during a brittle-to-ductile transition</em>”-</p> <p>The data reported in Table S.1 of PNAS paper is as follows :</p> <ol> <li>All raw data [mechanical synchronized with ultrasonic probes ] are in .mat files.</li> <li>The data includes both strain, stress, P-velocityand waveforms of passive sensor in the point of strain-stress also are provided . All data are in 2ns time-resolution –</li> <li>AE_CAT_xxx includes all information recorded during test in Paterson rig. The data are synchronized with pulsing (active) and passive excitations based on simple off-line synchronized matching ;</li> <li>The index the AE_CAT_xxx table doe have a corresponding waveforms due to an AE in M_xxx</li> <li>UM_XXX are based on table S1 and does have full strain-stress data set.</li> <li>Dist_xx_yy is distance measurement calculated based on DTW algorithm between each pair of tests</li> </ol> <p>Feel free to request [ hoghaff@mit.edu or <a href="mailto:mpec@mit.edu">mpec@mit.edu</a>] further information regarding our methods of analysis the data or obtaining the waves in Paterson rig. </p> <p>**Apart of the presented data in the paper , we repeated each test at least twice to be confident about our results in particular ultra-high frequency AEs and the strain-stress history. Feel free to request data independently from corresponding authors.</p>
Digitisation of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula (1623-1910)
<p><strong>Introduction</strong></p> <p>This study has exploited the daily weather records of Seungjeongwon Ilgi from the NIKH database (http://sjw.history.go.kr/main.do). Seungjeongwon Ilgi is a daily record of the Seungjeongwon, the Royal Secretariat of the Joseon Dynasty of Korea. These diaries span from 1623 to 1910 and generally involve daily weather records in the entry header. Their observational site would be located in Seoul (N37°35′, E126°59′). We have exploited the weather records from the NIKH database and classified the daily weather using text mining method. We have also converted the report dates from the traditional lunisolar calendar to the Gregorian calendar, to better contextualise our data into the contemporary daily measurements.</p> <p><strong>Data</strong></p> <p>We provide different formats (csv, xlsx, json) to facilitate the usage of data. The main contents of data are listed as below.</p> <ul> <li><strong>ID</strong>: The unique identifier of a specific record in the metadata, which can also serve as the identifier to merge with external data in the NIKH digital database.</li> <li><strong>Traditional calendar</strong>: The original lunar dates in the NIKH digital database, which are listed in data format "YYYY-MM-DD". More specifically, "L0" implies the leap year and "L1" implies the common year.</li> <li><strong>Leap</strong>: The identifier of a leap year.</li> <li><strong>Gregorian calendar</strong>: The Gregorian calendar date that converted by the traditional calendar date.</li> <li><strong>Weather Text</strong>: The text that describe the weather conditions. Specifically, multiple weather descriptions of the same day have been put together.</li> <li><strong>Flag</strong>: The computed value that indicates different combinations of weather conditions.</li> <li><strong>Volume</strong>: The volume of text in the original record.</li> <li><strong>Herbal Volume</strong>: The volume of text in the herbal record.</li> <li><strong>Sunny</strong>: A dummy variable that represents whether the weather description contains the expression of sunny.</li> <li><strong>Cloudy</strong>: A dummy variable that represents whether the weather description contains the expression of cloudy.</li> <li><strong>Rainy</strong>: A dummy variable that represents whether the weather description contains the expression of rainy.</li> <li><strong>Snow</strong>: A dummy variable that represents whether the weather description contains the expression of snow.</li> <li><strong>Wind</strong>: A dummy variable that represents whether the weather description contains the expression of wind.</li> </ul> <p><strong>Import Data</strong></p> <pre><code class="language-python"># Python # CSV file import pandas as pd data=pd.read_csv('~/SJWilgi_Seoul_Weather_YR1623_1910.csv',encoding="utf-8") # JSON file data=pd.read_json('~/SJWilgi_Seoul_Weather_YR1623_1910.json',encoding="utf-8") # Excel file data=pd.read_excel('~/SJWilgi_Seoul_Weather_YR1623_1910.xlsx') # Excel file</code></pre> <pre><code class="language-bash"># R # CSV file library(readr) data<- read_csv("~/SJWilgi_Seoul_Weather_YR1623_1910.csv") # Excel file library(readxl) data <- read_excel("~/SJWilgi_Seoul_Weather_YR1623_1910.xlsx")</code></pre> <p> </p>
Dataset for "Universal scaling of the dynamic BKT transition in quenched 2D Bose gases"
<p>This repository contains data and numerical simulation code for Sunami et. al., "Universal scaling of the dynamic BKT transition in quenched 2D Bose gases".</p> <p>The data is stored in the format of hdf5 (Hierarchical Data Format), which can be read from standard programming environment such as python (h5py), matlab (`h5read`), and many others.</p> <p>Numerical simulation scripts consist of functions.c, MonteCarloSampling.cpp and phase12_den_sample_time.cpp. Please see the section for numerical simulation in the Supplementary Material.</p> <p>The description for each hdf5 file in this repository is provided in readme.txt.</p>
dataset of 'Electric control of optically-induced magnetization dynamics in a van der Waals ferromagnetic semiconductor'
<p>This .zip archive contains all raw data used for the paper 'Electric control of optically-induced magnetization dynamics in a van der Waals ferromagnetic semiconductor'. In addition, it contains (partially) processed data, and the data that is plotted in the figures of this paper.</p>
Replication data for: IT Governance as Drivers of Dynamic Capabilities to Gain Corporate Performance Under the Effects of Environmental Dynamism.
<p>Este estudo, baseado em dados de 147 empresas brasileiras da base de dados artigo-científica, explora o papel vital da governança de TI na promoção da inovação e no aprimoramento de capacidades operacionais para melhorar a eficiência corporativa em ambientes de negócios voláteis. A análise estatística destacou a importância da estratégia de orientação das empresas na maximização do valor e impacto da governança de TI, dependendo do nível de dinamismo ambiental. Os resultados sublinham a relevância da governança de TI na promoção de capacidades dinâmicas e na geração de retornos econômicos.</p>
Genomic features for adaptation and evolutionary dynamics of four Asian domestic carps
<p><span>The four major Asian domestic carps, namely grass carp, black carp, bighead carp, and silver carp, belonging to <span>Cypriniformes, <span>and are among the most important aquaculture species and sources of animal protein in China. they <span>have similar habitats, closely phylogenetic relationships, and large body sizes. However, they differ in their diet preferences, behavior, and physical traits. Here, to better understand their evolution, we generated the chromosome-level genomes of the four domestic carps. We uploaded the assembled genomes of four carps, the gene annotation files in gff format of four carps, the protein sequences files of four carps, and the analysis code or pipeline used in the article, and the readme file. This study <span>shed light on the genomic bases</span><span> driving species divergence and adaptation, providing valuable insights for future research in this field.</span></span></span></span></span></p>
The Dynamics of Collective Action Corpus
<p>This respository includes two datasets, a Document-Term Matrix and associated metadata, for 17,493 <em>New York Times</em> articles covering protest events, both saved as single R objects.</p> <p>These datasets are based on the original <a href="https://web.stanford.edu/group/collectiveaction/cgi-bin/drupal/">Dynamics of Collective Action (DoCA) dataset</a> (Wang and Soule 2012; Earl, Soule, and McCarthy). The original DoCA datset contains variables for protest events referenced in roughly 19,676 <em>New York Times</em> articles reporting on collective action events occurring in the US between 1960 and 1995. Data were collected as part of the Dynamics of Collective Action Project at Stanford University. Research assistants read every page of all daily issues of the <em>New York Times</em> to find descriptions of 23,624 distinct protest events. The text for the news articles were not included in the original DoCA data.</p> <p>We attempted to recollect the raw text in a semi-supervised fashion by matching article titles to create the <strong>Dynamics of Collective Action Corpus</strong>. In addition to hand-checking random samples and hand-collecting some articles (specifically, in the case of false positives), we also used some automated matching processes to ensure the recollected article titles matched their respective titles in the DoCA dataset. The final number of recollected and matched articles is 17,493.</p> <p>We then subset the original DoCA dataset to include only rows that match a recollected article. The "20231006_dca_metadata_subset.Rdata" contains all of the metadata variables from the original DoCA dataset (see <a href="https://web.stanford.edu/group/collectiveaction/cgi-bin/drupal/node/17">Codebook</a>), with the addition of "pdf_file" (used to link to original article pdfs) and "pub_title" (which is the title of the recollected article and may differ from the "title" variable in the original dataset), for a total of 106 variables and 21,126 rows (noting that a row is a distinct protest events and one article may cover more than one protest event).</p> <p>Once collected, we prepared these texts using typical preprocessing procedures (and some less typical procedures, which were necessary given that these were OCRed texts). We followed these steps in this order: We removed headers and footers that were consistent across all digitized stories and any web links or HTML; added a single space before an uppercase letter when it was flush against a lowercase letter to its right (e.g., turning "JohnKennedy'' into "John Kennedy''); removed excess whitespace; converted all characters to the broadest range of Latin characters and then transliterated to "Basic Latin'' ASCII characters; replaced curly quotes with their ASCII counterparts; replaced contractions (e.g., turned "it's'' into "it is''); removed punctuation; removed capitalization; removed numbers; fixed word kerning; applied a final extra round of whitespace removal.</p> <p>We then tokenized them by following the rule that each word is a character string surrounded by a single space. At this step, each document is then a list of tokens. We count each unique token to create a document-term matrix (DTM), where each row is an article, each column is a unique token (occurring at least once in the corpus as a whole), and each cell is the number of times each token occurred in each article. Finally, we removed words (i.e., columns in the DTM) that occurred less than four times in the corpus as a whole or were only a single character in length (likely orphaned characters from the OCRing process). The final DTM has 66,552 unique words, 10,134,304 total tokens and 17,493 documents. The "20231006_dca_dtm.Rdata" is a sparse matrix class object from the <a href="https://cran.r-project.org/web/packages/Matrix/index.html">Matrix R package</a>.</p> <p>In R, use the load() function to load the objects `dca_dtm` and `dca_meta`. To associate the `dca_meta` to the `dca_dtm` , match the "pdf_file" variable in`dca_meta` to the rownames of `dca_dtm`.</p> <p> </p>
The GET insertase exhibits conformational plasticity and induces membrane thinning - The Molecular Dynamics Dataset
<p>The molecular dynamics simulation systems.</p> <p>List of files: </p> <ol> <li><strong>SimulationSystems.pdf</strong>: List of all simulation systems reported and their compositions</li> <li><strong>ProteinComplex.pdb</strong>: The initial model for the hsGet2ΔN-Get1/Get3 complex used in simulations was constructed based on the cryo-EM structure (PDB accession 6SO5). Missing residues (except the terminal ones) were modeled using Modeller.</li> <li><strong>prod.mdp</strong>: The GROMACS molecular dynamics parameters (mdp) file used for all simulations</li> <li><strong>toppar.zip</strong>: The Charmm36(m) force field parameter and topology set used for all simulations generated by CHARMM-GUI.</li> <li>Compressed (zip) files containing simulations inputs and trajectories</li> </ol> <p><strong>1-PC.zip<br> 2-1:4_PI:PC.zip<br> 3-1:4_PE:PC.zip<br> 4-1:4_PS:PC.zip<br> 5-1:4_CL:PC.zip<br> 6-1:4_chol:PC.zip<br> 7-1:1:1:1_PC:PI:PS:PE.zip<br> 8-1:1:1:1:1:1_PC:PDPC:PS:PI:PE:chol.zip</strong></p> <p>Each zip file contains the following files:</p> <ol> <li><strong>System_0ns.pdb</strong>: The initial configuration used for the simulations generated using CHARMM-GUI and equilibrated following the CHARMM-GUI equilibration protocol</li> <li><strong>index.ndx</strong>: GROMACS index file</li> <li><strong>topol.top</strong>: GROMACS topology file</li> <li><strong>prod0.tpr, prod1.tpr, prod2.tpr</strong>: GROMACS run topology files (tpr) for each repeat</li> <li><strong>prod0.gro, prod1.gro, prod2.gro</strong>: The final configuration after 3 μs production runs for each repeat</li> <li><strong>noW_0ns.pdb</strong>: The initial configuration without the water molecules.</li> <li><strong>noW_0.xtc, noW_1.xtc, noW_2.xtc</strong>: The 3 μs processed production trajectories. The water molecules were removed, and the trajectories were subsampled at 1 ns intervals.</li> </ol> <p> </p> <p> </p>
Zika virus prM protein contains cholesterol binding motifs required for virus entry and assembly - Molecular Dynamics Simulation Dataset
<p>The molecular dynamics (MD) simulation dataset. The contents:</p> <ul> <li><strong>5ire_BIOMT_expanded.pdb</strong>: The complete biological assembly of the cryo-EM structure of Zika Virus (PDB ID:5IRE) </li> <li><strong>5ire_Mprotein_BIOMT_expanded.pdb</strong>: The M proteins extracted from the complete biological assembly of the cryo-EM structure of Zika Virus (PDB ID:5IRE). The biological assembly shows the dimeric organization of M proteins.</li> <li><strong>0chol.zip, 10chol.zip, 20chol.zip, and 30chol.zip</strong> contain simulation input and output files for the simulated membrane compositions: 0:100, 10:90, 20:80, 30:70 (mol%:mol%) Cholesterol:POPC, respectively. <ul> <li>In each zip file, there are 5 directories: <strong>wt, R253L+F257A, R253L+F257S, K275L+Y278A, K275L+Y278S</strong> corresponding to each simulated M protein dimer variant: wild type, CARC 2-A, CARC 2-S, CARC 3-A, and CARC 3-S. In each directory, there are the following files: <ul> <li><strong>toppar</strong>: This directory contains all force field topologies and parameters</li> <li><strong>topol.top</strong>: GROMACS topology (top) file</li> <li><strong>index.ndx</strong>: GROMACS index (ndx) file</li> <li><strong>prod.mdp</strong>: GROMACS MD parameters (mdp) file</li> <li><strong>0, 1, 2, 3, 4, 5, 6, 7, 8, 9</strong>: These directories contain the simulation inputs and outputs for each simulation repeat. In each of these directories, there are the following files: <ul> <li><strong>t0.pdb</strong>: The pdb file of the starting coordinates</li> <li><strong>prod0.tpr</strong>: GROMACS binary run input (tpr) file </li> <li><strong>prod0.edr</strong>: GROMACS energy (edr) file</li> <li><strong>prod0.gro</strong>: GROMACS output coordinates and velocities after 1 microsecond of simulation</li> <li><strong>prod0.cpt</strong>: GROMACS checkpoint file after 1 microsecond of simulation</li> <li><strong>noW.pdb</strong>: The pdb file of the starting coordinates with all water molecules removed</li> <li><strong>noW.xtc</strong>: GROMACS compressed trajectory (xtc) file with all water molecules removed</li> </ul> </li> </ul> </li> </ul> </li> </ul>
Supplementary material for Dynamics of rare earth elements and associated major and trace elements during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation
<p>Database and figures related to the results that are presented in the manusciript Montemagno et al. that will be submitted as research paper in the journal Copernicus/Biogeosciences.</p> <p>Title of the submission: Dynamics of Rare Earth Elements and associated major cations during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation.</p> <p>Authorship: </p> <p>Alessandro Montemagno<sup>1,3</sup>, Christophe Hissler<sup>1</sup>, Johanna Ziebel<sup>2</sup>, Victor Bense<sup>3</sup>, Laurent Pfister<sup>1</sup>, Adriaan J. Teuling<sup>3</sup></p> <p><sup>1</sup>CATchment and ecohydrology research group (CAT/ENVISION/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg</p> <p><sup>2</sup>Biotechnologies and Environmental Analytics Platform (BEAP/ERIN), Luxembourg Institute of Science and Technology, Belvaux, 4408, Luxembourg</p> <p><sup>3</sup>Department of Environmental Sciences, subdivision Hydrology and Quantitative Water Management (HWQM), Wageningen University and Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, The Netherlands</p> <p><em>Correspondence: </em>Alessandro Montemagno (<a href="mailto:alessandro.montemagno@list.lu">alessandro.montemagno@list.lu</a>), Christophe Hissler (<a href="mailto:christophe.hissler@list.lu">christophe.hissler@list.lu</a>)</p>
Susceptible and infectious states for both vector and host in a dynamic pathogen-vector-host system
<p>Deformed wing virus (DWV) is a resurgent insect pathogen of honey bees that is efficiently transmitted by vectors and through host social contact. Continual transmission of DWV between hosts and vectors is required to maintain the pathogen within the population, and this vector-host-pathogen system offers unique disease transmission dynamics for pathogen maintenance between vectors and a social host. In a series of experiments, we measured vector-vector, host-host and host-vector transmission routes and show how these maintain DWV in honey bee populations. We found co-infestations on shared hosts allowed for movement of DWV from mite to mite. Additionally, two social behaviors of the honey bee, trophallaxis and cannibalization of pupae, provide routes for horizontal transmission from bee to bee. Circulation of the virus solely amongst hosts through communicable modes provides a reservoir of DWV for naïve Varroa to acquire and subsequently vector the pathogen. Our findings illustrate the importance of community transmission between hosts and vector transmission. We use these results to highlight the key avenues used by DWV during maintenance and infection and point to similarities with a handful of other infectious diseases of zoonotic and medical importance.</p>
Scrutinizing the protein hydration shell from molecular dynamics simulations against consensus small-angle scattering data (Simulation input files)
<p>Simulation input files for gromacs to reproduce the data from the manuscript "Scrutinizing the protein hydration shell from molecular dynamics simulations against consensus small-angle scattering data" (submitted to Comm. Chem.)</p>
Data related to the publication "Efficient molecular dynamics simulations of deep eutectic solvents with first-principles accuracy using machine learning interatomic potentials"
<p>The training data sets, the trained machine learning models, and input scripts for the training and molecular dynamics simulations.</p>
Figure 10. - Different fish abundance dynamic profiles between 1983 and 2014 in Long term monitoring of coral and fish assemblages (1983-2014) in Tiahura reefs, Moorea, French Polynesia
Figure 10. - Different fish abundance dynamic profiles between 1983 and 2014 on the outer slope at Tiahura sector in Moorea.
Large mass hierarchies from strongly-coupled dynamics---Recombined data release
<p>This release contains data associated with the publication <a href="https://arxiv.org/abs/1605.04258">Large mass hierarchies from strongly-coupled dynamics</a> (<a href="https://doi.org/10.1007/JHEP06(2016)114">JHEP 06 (2016) 114</a>).</p> <p>Compared to <a href="https://doi.org/10.5281/zenodo.13128485">the raw data release</a>, it makes the following changes:</p> <ul> <li>The two CSV files present in <a href="https://doi.org/10.5281/zenodo.13128485">the raw data release</a> are combined, with a common column schema. Since not all data were retained from all steps of the original computation, some of these data have been recomputed.</li> <li>The lattice data plotted in Figs. 2 and 3 of <a href="https://doi.org/10.1007/JHEP06(2016)114">the paper</a> are also included, and plotted by the Mathematica notebook.</li> </ul> <p>It comprises five files:</p> <ul> <li><code>README.md</code>: containing this summary and further details of the contents of each file.</li> <li><code>su2_adjoint_lattice_data.csv</code>: the data for the points plotted in Figures 2 and 3 of <a href="https://doi.org/10.1007/JHEP06(2016)114">the paper</a>. Masses of the scalar and tensor glueball, extracted from Monte Carlo ensembles of SU(2) with adjoint fermions.</li> <li><code>sigmamodel.csv</code>: the data shown in Figures 4 and 5 of <a href="https://doi.org/10.1007/JHEP06(2016)114">the paper</a>. The mass of the composite spin-0 and spin-2 states, computed for , as a function of , normalised to the mass of the lightest scalar or tensor.</li> <li><code>DataRelease.nb</code>: A Mathematica notebook that will take the above three files and generate plots similar to thsoe shown in <a href="https://doi.org/10.1007/JHEP06(2016)114">the paper</a>. This has been tested using Mathematica 14.0.</li> <li><code>unify_lmh_2016.zip</code>: A Snakemake and Python workflow to take the data from <a href="https://doi.org/10.5281/zenodo.13128485">the raw data release</a>, some data released as part of <a href="https://doi.org/10.5281/zenodo.12802810">the analysis workflow for arXiv:2408.00171</a>, and some previously unpublished data included in the archive, and generate the two CSV files above. Includes a <code>README.md</code> file containing more information about how to run the workflow.</li> </ul>
Fig. 3 in Diversity dynamics of Early-Middle Jurassic brachiopods of Caucasus, and the Pliensbachian-Toarcian mass extinction
Fig. 3. Total species diversity changes, origination and extinction rates of NW Caucasus brachiopods in Early–Middle Jurassic.
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.