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1,751 results for “transmission”
Exploring mechanisms that affect coral cooperation: symbiont transmission mode, cell density and community composition
<p>This repository contains code to accompany the manuscript titled</p> <p><strong>Exploring mechanisms that affect coral cooperation: symbiont transmission mode, cell density and community composition</strong></p> <p>by <strong>Carly D. Kenkel and Line K. Bay</strong><br> </p> <p>In this study, we used a phylogenetically controlled design to investigate the role of vertical symbiont transmission, an evolutionary mechanism predicted to enhance cooperation and holobiont fitness of reef-building corals. Six species of coral, three vertical transmitters and their closest horizontally transmitting relatives, were fragmented and subjected to a two-week thermal stress experiment. Symbiont cell density, photosynthetic function and translocation of photosynthetically fixed carbon between symbionts and hosts were quantified to assess changes in physiological metrics of fitness and cooperation. Amplicon sequencing of the <em>Symbiodinium</em> ITS-2 locus was used to investigate differences in symbiont community composition among focal species. We did not observe universally higher levels of cooperation in vertically transmitting species. However, the reduction in cooperation at the onset of bleaching was marginally associated with symbiont community diversity. Analysis of ITS2 amplicon sequence data suggest that it may not be vertical transmission <em>per se</em> that influences host-symbiont cooperation, but genetic uniformity of the symbiont community.</p> <p>Repository contents:</p> <ul> <li> <p><strong>TraitDataAnalysis.R:</strong> Annotated R script for generating figures and re-creating statistical analyses</p> <ul> <li> <p><strong>RsquaredGLMM.R:</strong> Accessory R script for running RsquaredGLMM analyses, called by <strong>TraitDataAnalysis.R</strong></p> </li> <li> <p><strong>NSF_RunningPam.csv</strong>: Input file for statistical analysis. Contains photophysiological data. Column headers are as follows:</p> <ul> <li> <p>Tank: Number of experimental tank in which experimental coral fragment was held</p> </li> <li> <p>Treatment: short-hand notation for sample treatments (e.g. ctrl1-5 = control temperature, genotypes 1-5)</p> </li> <li> <p>Water: source sump for temperature controlled water jackets for each set of treatment tanks</p> </li> <li> <p>Position: numerical rack position of coral fragment within experimental treatment tank</p> </li> <li> <p>Species: Coral species (Amil=<em>A. millepora</em>, Maqe=<em>M. aequituberculata</em>, Gast=<em>G. astreata</em>, Gach=<em>G. acrhelia</em>, Plob=<em>P. lobata</em>, Gcol=<em>G. columna</em>)</p> </li> <li> <p>Genotype: source colony origin of individual coral fragments within species</p> </li> <li> <p>Temp: experimental temperature treatment (ctrl: 27°C ; heat: 31°C)</p> </li> <li> <p>Treat: whether experimental corals received C14-labeled bicarbonate (bicarb), artemia or were sampled separately for Gene Expression Analysis (not presented in this manuscript)</p> </li> <li> <p>EQY: Effective quantum yield of <em>Symbiodinium</em> photosystem II as measured using PAM fluorometry</p> </li> <li> <p>Date: Actual calendar date of measure</p> </li> <li> <p>Transmission: coral symbiont transmission mode</p> </li> <li> <p>Reef: reef site of original coral collection</p> </li> <li> <p>Date: experimental date of measure</p> </li> </ul> </li> <li> <p><strong>TraitData.csv:</strong> Input file for statistical analysis. Contains all physiological trait data.</p> <ul> <li> <p>Includes columns as described above for the Running_Pam file in addition to columns containing raw trait data as described in the manuscript.</p> </li> </ul> </li> <li> <p><strong>TraitData_DaysAsCols.csv:</strong> Reformatted input file with trait data split by sampling day across columns</p> </li> </ul> </li> <li> <p><strong>DADA2Analysis.R:</strong> Annotated R script for generating figures and running ITS2 amplicon analyses</p> <ul> <li> <p>GeoSymbio_ITS2_LocalDatabase_verForPhyloseq.fasta: FASTA file of the GeoSymbio ITS2 reference database <a href="https://sites.google.com/site/geosymbio/">https://sites.google.com/site/geosymbio/</a>, formatted for use with the R prograom Phyloseq</p> </li> <li> <p>SeqVars_6Feb.fasta: FASTA file of identified sequence variants resulting from DADA2 analysis</p> </li> <li> <p>OutputDADA_6Feb.csv: Counts of sequence variants by sample</p> </li> <li> <p>Raw FASTQ paired end read files can be downloaded from NCBI's SRA: PRJNA338365</p> </li> </ul> </li> </ul>
Supplementary Material: Knobs and dials of retrieving JWST transmission spectra. I. The importance of p-T profile complexity
<p>This is supplementary material to <a title="Schleich et al. (2024)" href="https://www.aanda.org/articles/aa/abs/2024/10/aa51845-24/aa51845-24.html" target="_blank" rel="noopener">Schleich et al. (2024)</a>. The content of the provided data repository (also described in the file "content.txt") is as follows:</p> <p> </p> <h2>ADDITIONAL ANALYSIS</h2> <p>This folder contains a collection of ancillary data products for the evaluation of the retrievals performed in this work.</p> <ul> <li>'bayes-factor' contains the data tables for evaluating the Bayes' factor for each separate collection of models(*)</li> <li>'corner-plots' contains a collection of all corner plots associated with the individual input cases</li> <li>'fit-residuals' contains all fit residuals for the individual atmospheric retrievals performed in this work (used to make Fig. C.1)</li> <li>'resampled-pt-profiles' contains resampled p-T profiles to generate Figs. 6 and F.1</li> <li>'retrieval-accuracy' contains additional plots related to the accuracy of each retrieval (used to make Fig. 5, as well as Figs. E.1 - E.5)</li> </ul> <p><br>(*) SIDE NOTE:<br>Table headers in the "bayes-factor" data tables reference evidence reported from MultiNest (variable "Z"), and calculated Bayes factor (variable R). The case with log(R) = 0 is necessarily the reference case, and outliers are marked in a binary table with 1 (|log(R)| > 5) or 0 (|log(R)| < 5). In all cases, "log" refers to the natural logarithm.</p> <ul> <li>If someone actually reads this, I'm sorry. I also spent way too much time trying to track down if the values reported in MultiNest are natural or base-10 logarithm. I have now been convinced that it is worth it, always, to either specify "ln" for the base-e logarithm, or give the base of your logarithm if your write it down (i.e. log_10(X)) -Simon.</li> </ul> <h1> </h1> <h2>RETRIEVAL RESULTS</h2> <p>This folder contains the data products associated with the retrieval runs for each synthetic spectrum. The sub-directories are aranged by the following keys:</p> <ul> <li>'drs' and 'pandexo' refere to the two noise cases considered</li> <li>'inv-t' and 'norm-t' refere to the two underlying p-T profiles used to make the synthetic spectra</li> <li>'hpc', 'mpc', and 'lpc' refere two the three cloud-top pressure cases considerd</li> </ul> <p>Each individual folder contains (1) the TauREx parameter files for running retrievals using the selection of p-T profiles, (2) a folder called 'results', which containts the associated data products, and (3) a folder called 'chains', which stores the ancillary data products associated with the MultiNest sampling runs of each retrieval.</p> <p> We note that for the "drs_inv-t_mpc" case, the chains for the isothermal, 2-point, and 4-point runs have been lost</p> <p> </p> <h2>SYNTHETIC SPECTRA</h2> <p>This folder contains data products associated with the sample of synthetic transmission spectra.</p> <ul> <li>'pt-profile_*.csv' are csv-files containing the p-T points used to make Figure 1 , and to generate the synthetic transmissions spectra</li> <li>'forward-models' contains TauREx parameter files and forward models for the sample of synthetic transmission spectra. Each of the sub-directories also contains a faux-spectrum representing the wavelength-map of NIRSpec PRISM <ul> <li>'no-clouds' contains contains the above for generating Figure 3.</li> <li>'inv-t' contains forward models using the "inverse" p-T profile</li> <li>'norm-t' contains forwrad models using the "monotonic" p-T profile</li> </ul> </li> </ul>
Data for: JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c
<p>Data and models presented in "JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c"</p> <ul> <li>Transmission spectra from all three reductions presented</li> <li>Fitted white light curves from all three reductions</li> <li>Fitted spectroscopic light curves from the main Eureka! reduction</li> <li>PICASO models presented in Figure 11</li> </ul> <p>Manuscript: <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240401264W/abstract">Wallack et al. 2024</a> (DOI: 10.3847/1538-3881/ad3917)</p>
DS1. Simulation transmission studies of Terabit MCMs_POETICS POE-2_v1.0
<p>The dataset presents the simulated received optical waveforms of an optical transceiver system based on EMLs operating at 100 Gbaud with PAM-4 signals in the O-band over distances beginning from 2 km up to 10 km of SSMF with a 2 km interval. Multiple scenarios regarding the bandwidth limitations that the signal faces during the transmission have been examined. The devices that impose the bandwidth limitations and are investigated in these simulations are: the laser driver; the electro-absorption modulator (EAM) part of the EML; the photodiode (PD) and; the transimpedance amplifier (TIA). Square-root raised cosine pulse shaping schemes with various values of the roll-off factor are tested, in order to evaluate the pros and cons in each case.</p>
Data for: Sequential infection of Daphnia magna by a gut microsporidium followed by a haemolymph yeast decreases transmission of both parasites
<p>This dataset supports the findings presented in:<br> <br> Manzi, F., Halle, S., Seemann, L., Ben-Ami, F., & Wolinska, J. (2021). Sequential infection of <em>Daphnia magna</em> by a gut microsporidium followed by a haemolymph yeast decreases transmission of both parasites. <em>Parasitology,</em> 1-42. doi:10.1017/S0031182021001384</p>
Indoor Wireless Deterministic Anycast Transmissions Data from the FIT IoT-Lab testbed
<p>This dataset contains the raw openwsn results generated by indoor experiments.</p> <p>The data was collected on the <a href="https://www.iot-lab.info">FIT IoT-Lab</a> platform, using the m3 motes with a AT86RF231 radio chip, on the Grenoble's site.</p> <p>We rely on the following workflow:</p> <ul> <li>a modified version of openwsn that implements anycast transmissions at the link layer (CCA branch, <a href="https://github.com/ftheoleyre/openwsn-fw/releases/tag/duocast-mswim21">https://github.com/ftheoleyre/openwsn-fw/releases/tag/duocast-mswim21</a>). The firmware is implemented in C, and is executed by the m3 motes;</li> <li>a modified version of openvisualizer (<a href="https://github.com/ftheoleyre/openvisualizer/releases/tag/mswim21">https://github.com/ftheoleyre/openvisualizer/releases/tag/mswim21</a>)</li> <li>a tool to process the dataset and compute the metrics: end-to-end reliability, number of transmissions, CCA events, etc. (<a href="https://github.com/ftheoleyre/openwsn-data/releases/tag/mswim21-duocast">https://github.com/ftheoleyre/openwsn-data/releases/tag/mswim21-duocast</a>)</li> </ul> <p> </p> <p> </p> <p> </p>
Mapping of districts to control zones of German Transmission System Operators (TSOs)
<p><strong>Mapping of districts to control zones of German Transmission System Operators (TSOs)</strong></p> <p>This dataset provides a mapping of districts in Germany at NUTS3 level to control zones that are maintained by four transmission system operators (50Hertz, Amprion, TenneT, TransnetBW). A visualisation of the mapping is provided it GER_NUTS3_TSOs.png.</p> <p>I can provide no guarantee of the accuracy or completeness of the provided information. In case the control zones of the TSOs change, or an error is detected, I do not assume liability for the error. The output file(s) can also be re-generated with the provided python script (GER_NUTS3_TSOs.py), and manipulated if necessary. In case you detect an error, please reach out to me so we can correct it in order to provide as accurate information as possible.</p> <p><strong>Licensing</strong></p> <p>This dataset is created on top of a dataset of German political administrative boundaries at NUTS3 level covering Germany provided by geoBoundaries (DEU_ADM2.shp). geoBoundaries is an online, open license database of global political administrative boundaries (i.e., state, county). For further information, see https://www.geoboundaries.org/.</p> <p>For the processing, I am also using the dataset "Verwaltungsgebiete 1:2500000" (vg_12500.shp) provided by the "Bundesamt für Kartographie und Geodäsie". The dataset is licensed as "Data licence Germany - attribution - version 2.0", and can be retrieved at https://gdz.bkg.bund.de/index.php/default/verwaltungsgebiete-1-2-500-000-stand-31-12-vg2500-12-31.html. A reference to the license is provided under the following link: https://www.govdata.de/dl-de/by-2-0.</p> <p>The files GER_NUTS3_TSOs.png, GER_NUTS3_TSOs.shp, GER_NUTS3_TSOs.shx, GER_NUTS3_TSOs.prj, GER_NUTS3_TSOs.dbf and GER_NUTS3_TSOs.cpg are released under the Creative Commons 4.0 Attribution International (CC BY 4.0).</p> <p>The file GER_NUTS3_TSOs.py is released under a MIT license.</p>
Social contact patterns relevant for infectious disease transmission in Cambodia
<p>Social contact data from a community-based survey conducted in Cambodia in 2012. </p>
Master Coral database used in USVI SCTLD Transmission Experiment Gene Expression Analysis
<p>The Master Coral Database fasta file is comprised of previously published genome-derived predicted gene models and transcriptomes spanning a wide diversity of coral families. Transcriptomes are from Davies et al., 2016 (doi: 10.3389/fmars.2016.00112), Kirk et al., 2018 (DOI: 10.1111/mec.14934); Moya et al., 2012 (doi: 10.1111/j.1365-294X.2012.05554.x); van de Water et al., 2018 (DOI: 10.1111/mec.14489).</p>
Exposure fusion applied to enable wider-angle transmission Kikuchi diffraction with direct electron detectors
<p>Raw dataset for "<strong>Exposure fusion applied to enable wider-angle transmission Kikuchi diffraction with direct electron detectors</strong>" by T.Zhang, T.B.Britton.</p> <ul> <li>ArXiv: https://doi.org/10.48550/arXiv.2306.14167</li> </ul> <p>An excel file with metadata of the patterns is included. </p> <p> </p> <p>Details will be updated after acceptance.</p> <p>Processing with the proposed methodology in the paper above requires the AstroEBSD toolbox in MATLAB. This is available on GitHub at https://zenodo.org/record/8078806</p>
Raw data of findings in the article "Sub-THz_wireless_transmission_based_on_graphene_integrated_optoelectronic_mixer" by A. Montanaro et al.
<p>Raw data containing all the plots in the manuscript "Sub-THz wireless transmission based on graphene integrated optoelectronic mixer" by A. Montanaro et al.</p>
Soil nitrogen and phosphorus effects on plant virus density, transmission, and species interactions
This data package includes data and code from an experiment testing the effects of nitrogen and phosphorus addition on interactions between two grass viruses (BYDV-PAV and CYDV-RPV). Data include virus density within oats (Avena sativa) and transmission of viruses to a second set of oats. Data were collected by Amy E. Kendig and collaborators between February 2014 and August 2014 at the University of Minnesota in St. Paul Minnesota, USA. Experiments were performed in growth chambers, virus density data were obtained using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and transmission data were obtained using RT-PCR. The code includes statistical analyses and figures. Model objects created through statistical analyses are also included. The code was run using R (version 3.5.2).
Supporting data for "In situ Quantitative Tensile Tests on Antigorite in a Transmission Electron Microscope"
<p>Abstract: The determination of the mechanical properties of serpentinites is essential towards the understanding of the mechanics of faulting and subduction. Here, we present the first in situ tensile tests on antigorite in a transmission electron microscope. A push-to-pull deformation device is used to perform quantitative tensile tests, during which force and displacement are measured, while the microstructure is imaged with the microscope. The experiments have been performed at room temperature on beams prepared by focused ion beam. The specimens are not single crystals despite their small sizes. Orientation mapping indicated that some grains were well-oriented for plastic slip. However, no dislocation activity has been observed even though engineering tensile stress went up to 700 MPa. We show also that antigorite does not exhibit an pure elastic-brittle behaviour since, despite the presence of defects, the specimens underwent plastic deformation and did not fail within the elastic regime. Instead, we observe that strain localizes at grain boundaries. All observations concur to show that under our experimental conditions, grain boundary sliding is the dominant deformation mechanism. This study sheds a new light on the mechanical properties of antigorite and calls for further studies on the structure and properties of grain boundaries in antigorite and more generally in phyllosilicates.</p>
Lyman-alpha Transmission Curves
<p>We provide a large set of Lyman-alpha transmission curves around star-forming halos above <span class="math-tex">\(5\cdot 10^9 \textrm{M}_\odot\)</span>in the IllustrisTNG100 simulation at redshifts 0.0, 1.0, 2.0, 3.0, 4.0 and 5.0. The transmission curves are provided as optical depth <span class="math-tex">\(\tau\)</span> as a function of injected wavelength offset <span class="math-tex">\(\Delta\lambda = \lambda - \lambda_\mathrm{Lya}\)</span>evaluated at the source's systemic redshift with integration starting at <span class="math-tex">\(r=1.5\cdot r_\mathrm{vir}\)</span> We provide the transmission curves along 6 lines of sight roughly aligned with the basis vectors of the Cartesian coordinate system. Further information is made available in a referencing publication that will be linked here.</p> <p>The catalog itself is provided as hdf5 file with the following structure: On the base level, the data set "los_vectors" contains the direction vectors of the 6 lines of sight and the data set "dlambda_bins" provides the wavelength offsets which we evaluate the optical depths at. Most importantly, the transmission curves are provided in the group "tau" in which we provide separate data sets for each simulated redshift. These data sets are three dimensional with the first dimension indexing the line of sight, the second dimension the wavelength bin and the third dimension the targeted halo. For further study, we also provide the IllustrisTNG100 halo identifiers in the group "haloIDs", which again are provided as separate data set for each redshift. </p> <p>Note that an extended data set is available upon request, with 1000 lines of sight per emitter drawn from an equally spaced Fibonacci sphere, which could not be provided here due to the file size.</p>
Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part II: Post Acquisition Data Processing, Visualisation, and Structural Characterisation
<p>Scanning transmission electron microscopy data related to paper "Scanning transmission electron microscopy data related to paper "Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part II: Post Acquisition Data Processing, Visualisation, and Structural Characterisation", <a href="https://doi.org/10.1017/S1431927620024307">https://doi.org/10.1017/S1431927620024307</a>.</p>
Data from: Fluorescent biomarkers demonstrate prospects for spreadable vaccines to control disease transmission in wild bats
Vaccines that autonomously transfer among individuals have been proposed as a strategy to control infectious diseases within wildlife populations. However, understanding rates of spread and epidemiological efficacy in real world systems remain elusive. Here, we investigated whether topical vaccines that transfer among bats through social contacts can control vampire bat rabies, a medically and economically important zoonosis in Latin America. Field experiments in 3 Peruvian bat colonies which used fluorescent biomarkers as a proxy for the bat-to-bat transfer and ingestion of an oral vaccine revealed that vaccine transfer would increase population-level immunity up to 2.6 times beyond the same effort using conventional, non-spreadable vaccines. Mathematical models demonstrated that observed levels of vaccine transfer would reduce the probability, size, and duration of rabies outbreaks, even at low, but realistically achievable levels of vaccine application. Models further predicted that existing vaccines provide substantial advantages over culling bats, the policy currently implemented in North, Central, and South America. Linking field studies with biomarkers to mathematical models can inform how spreadable vaccines may combat pathogens of health and conservation concern prior to costly investments in vaccine design and testing.
Transmission Electron Microscopy Dataset for Image Deblurring
<p>The dataset consists of images corrupted by motion blur together with corresponding high-quality images from two different samples, one of thin sectioned kidney tissue and one of a calibration grid. The data was collected using a MiniTEM microscope (Vironova AB). The motion corrupted images are created by moving the sample under the microscope. Each low-quality (motion blurry) imaging sequence has corresponding high-quality images (captured by stopping the microscope at each position in the sequence). The high-quality frames have a size of 2048 x 2048 pixels with an overlap of 50% between adjacent frames. The low-quality (motion blurry) frames are captured with a size of 1024x1024 with the same motion direction (approximately vertically upwards). All images were captured at a field of view of 32μm, and with a per image exposure time of 15ms and stored as 16 bit tiff files. Both samples are imaged with the same settings and have four imaging sequences each.</p> <p>The dataset contains the raw image files as well as a partitioning into training, validation and testing. For these images, five low-quality images have been registered to each high-quality image. For the five registered images the intersection of all is cropped and stored. 1 of the 4 imaging sequences are chosen as the test set and the last part of another of the imaging sequences as a validation set. The rest is put in the training set.</p> <p><em><strong>Folder Structures:</strong></em></p> <ul> <li><strong>Raw data:</strong> <ul> <li>Raw data is the unprocessed data and each sample folder contains 4 image sequences. In each of these folders low-quality (motion blurry) images are stored in folder “Low” and corresponding high-quality images are stored in “GT”</li> </ul> </li> <li><strong>TrainValTest:</strong> <ul> <li>TrainValTest consist of data where the low-quality frames have been registered to the high-quality frames and divided into a training, validation and test set.</li> <li>Each of the Train, Val, Test folders contains 3 subfolders. “Low” contains folders names the same as the files in “GT” where each folder contains five low-quality (motion blurry) images, registered the that corresponding high-quality image. “GT” contains the corresponding high-quality images down sampled to the same spatial size as the low-quality images. “GT_hr” contains the same images as “GT” but not down sampled.</li> </ul> </li> </ul>
Virulence mismatches in index hosts shape the outcomes of cross-species transmission
<p>Supplemental data and code for the paper <em>Virulence mismatches in index hosts shape the outcomes of cross-species transmission</em>.</p> <ul> <li>Dataset 1 is an R Shiny app allowing the estimation of rabies disease progression parameters for all observed combinations of virus source (reservoir) and recipient species, including within-species inoculations.</li> <li>Dataset 2 contains the original data and the analysis code used in this study.</li> </ul> <p>See the README files in each dataset folder for further information and usage instructions.</p>
The COVID Transmission: How Scientists and Science Journalists Are Communicating During the Pandemic
<p>In this episode we talk to Wiebke Hollersen, a science journalist and editor from the German newspaper <em>Welt, </em>and Dr Emanuel Wyler, a molecular biologist at the Max Delbrück Center for Molecular Medicine, about their approaches, collaborations, and concerns about communicating about the Coronavirus and science communication in general. </p> <p> </p> <p><strong>Episode Links: </strong></p> <p><a href="https://www.mdc-berlin.de/person/dr-emanuel-wyler">Emanuel Wyler</a></p> <ul> <li><a href="https://twitter.com/ewyler">Twitter</a></li> <li><a href="https://emanuelwyler.wordpress.com/">Blog (German Language)</a></li> </ul> <p><a href="https://www.welt.de/autor/wiebke-hollersen/">Wiebke Hollersen</a></p> <ul> <li><a href="https://twitter.com/wiebkehollersen">Twitter</a></li> </ul>
Data from: Temperature drives Zika virus transmission: evidence from empirical and mathematical models
<p>Temperature is a strong driver of vector-borne disease transmission. Yet, for emerging arboviruses we lack fundamental knowledge on the relationship between transmission and temperature. Current models rely on the untested assumption that Zika virus responds similarly to dengue virus, potentially limiting our ability to accurately predict the spread of Zika. We conducted experiments to estimate the thermal performance of Zika virus (ZIKV) in field-derived Aedes aegypti across eight constant temperatures. We observed strong, unimodal effects of temperature on vector competence, extrinsic incubation period, and mosquito survival. We used thermal responses of these traits to update an existing temperature-dependent model to infer temperature effects on ZIKV transmission. ZIKV transmission was optimized at 29oC, and had a thermal range of 22.7oC - 34.7oC. Thus, as temperatures move toward the predicted thermal optimum (29oC) due to climate change, urbanization, or seasonally, Zika could expand north and into longer seasons. In contrast, areas that are near the thermal optimum were predicted to experience a decrease in overall environmental suitability. We also demonstrate that the predicted thermal minimum for Zika transmission is 5oC warmer than that of dengue, and current global estimates on the environmental suitability for Zika are greatly over-predicting its possible range.</p>
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.