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914 results for “filter”
The effect of niche filtering on plant species abundance in temperate grassland communities
<p>1. Niche filtering predicts that abundant species in communities have similar traits that are suitable for the environment. However, niche filtering can operate on distinct axes of trait variation in response to different ecological conditions. Here, we use a trait-based approach to infer niche filtering processes and (1) test if abundant and rare species in grassland communities are differently positioned along distinct axes of trait variation, (2) determine if these trait variation axes, as well as phylogenetic and functional similarities, drive species relative abundance (aboveground cover) within communities, and (3) explore if these relationships vary across grassland types and macro-climatic gradients.</p> <p>2. We analysed species abundance in a set of ~2,000 vegetation plots from temperate grasslands in Central Europe as a function of species position along three axes of trait variation: the 'Plant Size Spectrum' (PSS), the 'Leaf Economics Spectrum' (LES), and the 'Lifespan/Clonality Spectrum' (LCS). We also used phylogenetic and functional similarities in the multi-dimensional trait space as predictors of species abundance. We compared our results among alpine, wet, mesic, and dry grasslands and tested if the effect of the predictors on species abundance was significant across macro-climatic gradients.</p> <p>3. Compared to abundant species, rare species in grassland communities were more commonly annual and non-clonal, had lower stature and smaller leaves and seeds, and relied on more acquisitive leaf economics. Our predictors significantly explained species abundance in approximately one-third of the plots. LES was the most important predictor across all plots, with the most prominent effect in alpine and dry grasslands and areas with more extreme temperatures. In contrast, in mesic and wet grasslands and grasslands located in warmer and less seasonal regions, species abundance was best predicted by phylogenetic similarities between species, with Poaceae species becoming more abundant.</p> <p>4. Our study explored trait-abundance relationships for different community types across a large area and broad macro-climatic gradients. We conclude that niche filtering, and particularly resource-acquisition trade-offs, drives species abundance in temperate grassland communities of Central Europe. Our findings emphasize the interaction between local environmental conditions and plant function in determining community assembly.</p>
Data from: Landscape heterogeneity filters functional traits of rice arthropods in tropical agroecosystems
<p>Biological control services of agroecosystems depend on the functional diversity of species traits. However, the relationship between arthropod traits and landscape heterogeneity is still poorly understood, especially in tropical rice agroecosystems which harbour a high diversity of often specialized species. We investigated how landscape heterogeneity, measured by three metrics of landscape composition and configuration, influenced body size, functional group composition, dispersal ability and vertical distribution of rice-arthropods in the Philippines.</p> <p> </p> <p>We found that landscape composition and configuration acted to filter arthropod traits in tropical rice agroecosystems. Landscape diversity and rice habitat fragmentation were the two main gradients influencing rice-arthropod traits, indicating that different rice-arthropods have distinct habitat requirements. Whereas small parasitoids and species mostly present in the rice-canopy were favoured in landscapes with high compositional heterogeneity, predators and medium-sized species occupying the base of the rice plant, including planthoppers, mostly occurred in highly fragmented rice habitats. We demonstrate the importance of landscape heterogeneity as an ecological filter for rice-arthropods, identifying how the different components of landscape heterogeneity selected for or against specific functional traits. However, the contrasting effects of landscape parameters on different groups of natural enemies indicate that not all beneficial rice-arthropods can be promoted at the same time when using a single land management strategy. Increasing compositional heterogeneity in rice landscapes can promote parasitoids but may also negatively affect predators. Future research should focus on identifying trade-offs between fragmented rice habitats and structurally diverse landscapes to maximize the presence of multiple groups of beneficial arthropods.</p>
NIRSpec IFU simulation of the Orion Bar with F100LP/G140H filter
<p>This simulation is a NIRSpec 3D cube (two spatial dimensions and one spectral dimension) of the Orion Bar with F100LP/G140H filter. This simulation is part of the Early Release Sciences program PDRs4all (ID1288, http://pdrs4all.org).</p>
An Improved Coupled Data Assimilation System with a CGCM Using Multi-Timescale High Efficiency EnOI-Like Filtering
<p>Coupled data assimilation (CDA) combining coupled models and observations plays a critical role in climate studies by producing a four-dimensional estimation of Earth system states. However, traditional CDA algorithms while being expensive lack sufficient representation of multi-scale background flows. Here, a Multi-timeScale High-Efficiency Approximate EnKF (MSHea-EnKF) has been implemented in the global fully coupled climate model of the Geophysical Fluid Dynamics Laboratory. It consists of stationary, low-frequency, and high-frequency filters constructed from the timeseries of a single model solution, with improved representation for low-frequency background error statistics and enhanced computational efficiency. The MSHea-EnKF is evaluated in a biased twin experiment framework with synthetic “observations” produced by the other coupled model, Community Earth System Model, and a three-decade coupled analysis experiment with real observations. Results show that while computationally costing only a small fraction of traditional ensemble CDA, the MSHea-EnKF significantly improves the assimilation quality due to better representation of the slow-varying background flows in the filtering. The coupled analysis of MSHea-EnKF also improves the estimation of the Atlantic meridional overturning circulation, including better standard deviation distribution and mass transport at the Rapid section. These results of MSHea-EnKF on prevalent resolution coupled model with high computational efficiency promises its further applications to high-resolution coupled model data assimilation and reanalysis which will greatly advance our understanding for seamless weather-climate analysis and predictions.Coupled data assimilation (CDA) combining coupled models and observations plays a critical role in climate studies by producing a four-dimensional estimation of Earth system states. However, traditional CDA algorithms while being expensive lack sufficient representation of multi-scale background flows. Here, a Multi-timeScale High-Efficiency Approximate EnKF (MSHea-EnKF) has been implemented in the global fully coupled climate model of the Geophysical Fluid Dynamics Laboratory. It consists of stationary, low-frequency, and high-frequency filters constructed from the timeseries of a single model solution, with improved representation for low-frequency background error statistics and enhanced computational efficiency. The MSHea-EnKF is evaluated in a biased twin experiment framework with synthetic “observations” produced by the other coupled model, Community Earth System Model, and a three-decade coupled analysis experiment with real observations. Results show that while computationally costing only a small fraction of traditional ensemble CDA, the MSHea-EnKF significantly improves the assimilation quality due to better representation of the slow-varying background flows in the filtering. The coupled analysis of MSHea-EnKF also improves the estimation of the Atlantic meridional overturning circulation, including better standard deviation distribution and mass transport at the Rapid section. These results of MSHea-EnKF on prevalent resolution coupled model with high computational efficiency promises its further applications to high-resolution coupled model data assimilation and reanalysis which will greatly advance our understanding for seamless weather-climate analysis and predictions.</p>
GCM Filters Test Data
<p>Test datasets for the GCM Filters test suite.</p> <p>https://github.com/ocean-eddy-cpt/gcm-filters/</p> <p>POP data were extracted from a single timestep of the simulations described in the following paper</p> <p>Small, R. J., et al. (2014), A new synoptic scale resolving global climate simulation using the Community Earth System Model, <em>J. Adv. Model. Earth Syst.</em>, 6, 1065– 1094, doi:<a href="https://doi.org/10.1002/2014MS000363">10.1002/2014MS000363</a>.</p>
A Peristaltic Pump and Filter-Based Method for Aqueous Microplastic Sampling and Analysis
<p>Sampling the aquatic environment for microplastic concentration is inherently difficult because of variations in microplastic concentration, shape, and density and the potential for contamination. We present an assessment of a method for microplastic sampling that uses a peristaltic pump to pump water through a series of in-line stainless-steel mesh filters. Following filtration, the stainless-steel filters were treated using previously published methods to isolate microplastics, adjusted for the stainless-steel mesh filters. Microplastics were identified using micro-Fourier Transform Infrared (µFTIR) spectroscopy in transmission mode. This method was tested in the laboratory using standard polyethylene beads and was applied to two sample sites at the Las Vegas Wash in Nevada. The results showed 70% of the polyethylene beads were recovered after the peristaltic pump and laboratory steps with minimal blank contamination. The advantages of the peristaltic pump sampling method are it (1) supports a range of sample volumes, (2) reduces sample handling, (3) reduces the potential for contamination, (4) provides flexibility in sampling locations, and (5) supports a variety of filter types. Using stainless-steel mesh filters allows for (1) streamlined and direct field-to-laboratory sample processing, (2) µFTIR transmission mode analysis of filter-mounted microplastics, and (3) reduced filter and sample processing costs.</p>
A complete list of filtered variants and gene lists of frequently and recurrently mutated genes in DLBCL, MCL, T-NHL, and BL, as well as pre-assembled CNV gene list
<p>A complete list of variants which passed filtering described in supplemental methods, that were found in both PDX model sample and patient’s sample from which it was derived (S1A) and variants which were gained (S1B) or lost (S1C) during PDX model derivation. Gene lists for filtration of variants in genes of special interest are included in the table (S1D). Gene list for filtration of CNV changes in genes of special interest is included in the table (S1E). Chr - Chromosome, REF - Reference allele, ALT - Alternative allele, AA change - Amino acid change, Patient AF - Allele frequency in the patient’s sample, Patient Depth – Read depth in patient’s sample, PDX AF- Allele frequency in PDX model sample, PDX Depth - Read depth in PDX sample, DLBCL - Diffuse Large B-cell lymphoma, MCL - Mantle Cell Lymphoma, TCL - T-cell lymphoma, BL – Burkitt Lymphoma, and CNV - Copy Number Variation.</p>
Nuanced qualitative trait approaches reveal environmental filtering and phylogenetic constraints on lichen communities
<p>We propose that a qualitative trait approach based on more detailed nuanced traits may reveal previously overlooked patterns, especially when combined with phylogenetic perspectives. By sampling epiphytic lichens and using a functional approach based on nuanced qualitative traits, such as a much greater resolution over photobiont identity, type of cortex and chemical compounds, we evaluated the effects of environmental filtering and phylogenetic constraints on community assembly along natural succession of Atlantic rainforest. We found changes in taxonomic, functional and phylogenetic composition, structure and diversity. Functional traits such as photobiont genera, type of cortex, reproductive structures, propagule size and protection strategies showed strong responses to succession. Mature forests with a closed canopy impose strong environment filtering that is reflected in lichen species turnover, limiting diversity, but also holding different functional and phylogenetic composition. The use of a nuanced qualitative trait approach may overcome some of the limitations of using this type of traits and show the importance of often overlooked key lichen functional traits, including presence of carbon concentrating mechanisms in photobionts and cortex properties. Furthermore, this is the first study showing how patterns of phylogenetic assembly along forest succession structure lichen communities.</p>
Vasculature Segmentation Validation Dataset - Part I - Simulated Tubes and Filter Responses
<p>Dataset to allow exploration of data enhancement, segmentation, and validation for: https://www.biorxiv.org/content/10.1101/2020.07.21.213843v1 and associated future publications</p> <p><strong>Dataset description:</strong></p> <ul> <li><em><strong>SimulatedTubes</strong></em>: Computationally produced tubes (3 different sizes) that are hollow, filled, or filled with Gaussian distribution. To study filter responses, artificial noise and blurring were added.</li> <li><em><strong>DataExFilterResponse</strong></em>: Example data of the head vasculature of 4dpf of zebrafish, where the response to different filters is tested (i.e. GF - general filtering and TF - tubular filtering / Sato enhancement; for TF also different scale sizes are examined; see also: https://www.mdpi.com/2313-433X/5/1/14).</li> </ul> <p><em><strong>Data acquisition:</strong></em><br> Experiments were performed according to the rules and guidelines of institutional and UK Home Office regulations under the Home Office Project Licence 70/8588 held by TC. Maintenance of adult zebrafish Tg(kdrl:HRAS-mCherry)s916 (Chi et al., 2008) was performed as described in standard husbandry protocols (Westerfield, 1993). Embryos, obtained from controlled mating, were kept in E3 medium buffer with methylene blue and staged as previously described (Kimmel et al., 1995).</p> <p>Embryos were embedded in 2% LMP-agarose with 0.01% Tricaine in E3 (MS-222, Sigma). Data were acquired using a Zeiss Z.1 light sheet microscope, Plan-Apochromat 20x/1.0 Corr nd=1.38 objective, dual-side illumination with online fusion, activated Pivot Scan, image acquisition chamber incubation at 28°C, with a scientific complementary metal-oxide semiconductor (sCMOS) detection unit. Data properties can be summarised as: 16bit image depth, voxel dimensions in x, y and z of 1920 x 1920 x 400-600, respectively, giving a voxel size of 0.33 x 0.33 x 0.5 µm). </p> <p><em><strong>Contact</strong></em>: kugler.elisabeth[at]gmail.com</p> <p><em><strong>Useful code links</strong></em>: </p> <ul> <li>https://github.com/ElisabethKugler/ZFVascularQuantification</li> <li>https://github.com/ElisabethKugler/Matlab3D-ImageAnalysis</li> </ul>
Biotic filtering by species' interactions constrains food-web variability across spatial and abiotic gradients
<p>Despite intensive research on species dissimilarity patterns across communities (i.e. beta-diversity), we still know little about their implications for variation in food-web structures. Our analyses of 50 lake and 48 forest soil communities show that, while species dissimilarity depends on environmental and spatial gradients, these effects are only weakly propagated to the networks. Moreover, our results show that species and food-web dissimilarities are consistently correlated, but that much of the variation in food-web structure across spatial, environmental, and species gradients remains unexplained. Novel food-web assembly models demonstrate the importance of biotic filtering during community assembly by (1) the availability of resources, and (2) limiting similarity in species' interactions to avoid strong niche overlap and thus competitive exclusion. This reveals a strong signature of biotic filtering processes during local community assembly, which constrains the variability in structural food-web patterns across local communities despite substantial turnover in species composition.</p>
ProtNAff: Protein-bound Nucleic Acid filters and fragment libraries
<p>This dataset contains the library produced by the ProtNAff tool for the paper.</p> <p>The files are in the numpy format matrix.</p> <p>There are files for the reduced and the all atoms fragments.</p>
High Cadance Radio Frequency Interference Filters
<p>SQL databases for synthetic and real pulse for the paper "High Cadence Radio Frequency Interference Filters".</p> <p>These databases contain Numpy array and can be read by http://stackoverflow.com/a/31312102/190597<br><br><a href="https://zenodo.org/api/records/6487651/draft/files/injected_pulse.db/content" target="_blank" rel="noopener noreferrer">injected_pulse.db</a> is the database for synthic pulses injected into GREENBURST observations. <br><br><a href="https://zenodo.org/api/records/6487651/draft/files/real_pulse.db/content" target="_blank" rel="noopener noreferrer">real_pulse.db</a> is the database for pulses from pulsars observed with GREENBURST.</p>
Extended Supplement for De-noising distributed acoustic sensing data using an adaptive frequency-wavenumber filter
<p>This electronical extended supplement presents an adaptive frequency-wavenumber filter suppresses the incoherent seismic noise while amplifying the coherent wave field in seismic distributed acoustic sensing (DAS) data. We analyse the response of the filter in time and spectral domain, and we demonstrate its performance on a noisy data set that was recorded in a vertical borehole observatory showing active and passive seismic phase arrivals. In these data we can suppress the noise up to 20 dB. This data publication serves as a repository for data an plotting scripts.</p>
Partner fidelity and environmental filtering preserve stage-specific turtle ant gut symbioses for over 40 million years
<p><span>Sustaining beneficial gut symbioses presents a major challenge for animals, Including holometabolous insects. Social insects may meet such challenges through behavioral symbiont transfer and transgenerational inheritance through colony founders. We address such potential through colony-wide explorations across 13 eusocial, holometabolous ant species in the genus <em>Cephalotes</em>. Through amplicon sequencing and qPCR, we show that previously characterized worker microbiomes are largely conserved across adult castes, that adult microbiomes exhibit strong trends of phylosymbiosis, and that <em>Cephalotes</em> cospeciate with their most abundant adult symbionts. We find, also, that winged queens harbor worker-like microbiomes prior to colony founding, suggesting that vertical inheritance promotes ancient partner fidelity. While some adult-abundant symbionts colonize guts of larvae, microbiomes from this stage are by environmental bacteria from the Enterobacteriales, Lactobacillales, and Actinobacteria. Re-acquisition of such bacteria, each generation, for >40 million years suggests conserved environmental filtering and, hence, a second mechanism behind distinct symbioses divided by metamorphosis.</span></p>
Extreme environments filter functionally rich communities of Atlantic Forest treefrogs along altitudinal and latitudinal gradients
<p>Understanding how environmental filtering and biotic interactions structure communities across elevational and latitudinal gradients is still a matter of debate. To provide insight into their relative importance, we explore the mismatch between three dimensions of biodiversity (taxonomic, functional, and phylogenetic), and compare their patterns to null models of random community assembly. We focus on a highly diverse tropical group: the tree frogs (hylids) of the Atlantic Forest of Brazil. For that, we combined geographic distribution data with phylogenetic and trait information for 158 species to produce maps of the three dimensions of diversity. We show that communities of tree frogs of the Hylidae family tend to have high functional richness along the Atlantic Forest, potentially driven by niche partitioning. However, environmental filtering gains importance in extreme environments, both at high elevations and higher latitudes. In these areas of the forest, clustering of both functional and phylogenetic diversity is observed. Trait overdispersion is found in areas of contact between vegetation types, or of adjacent biomes, reflecting the encounter of amphibian species adapted to distinct environmental conditions and landscape configurations. Considering all three dimensions of diversity along with multiple axes of environmental variation allows for a more comprehensive understanding of the processes shaping amphibian community assembly in this biodiversity hotspot.</p>
Functional diversity and trait filtering of insectivorous bats on forest islands created by an Amazonian mega dam
<p>1. Mega dams in lowland tropical forests often create large archipelagos, leading to biodiversity decay and disruption of ecosystem functioning in remnant habitat islands.</p> <p>2. We investigated the functional diversity and functional trait filtering of aerial insectivorous bats in both insular forest patches created by a vast ~30-yr-old hydropower reservoir and the adjacent mainland continuous forest in Central Amazonia.</p> <p>3. Bats were surveyed using passive bat recorders across 34 forest sites. Based on a set of morphological traits derived for each species recorded, we estimated both the bat functional richness, functional evenness and functional dispersion at each surveyed site. We further assessed the effects of local vegetation, patch and landscape features on patterns of functional diversity. The interaction between functional traits, environmental characteristics, and species distribution was investigated using a combination of RLQ and fourth-corner analyses.</p> <p>4. We found that mainland sites retained higher functional richness and lower functional evenness compared to forest islands, indicating a more complete functional assemblage in the mainland. Additionally, species composition was affected by local vegetation structure and forest area, with small isolated islands exhibiting pervasive loss of functional traits. RLQ and fourth-corner analyses showed that larger understorey foraging species with greater dispersal capacity, constant frequency-frequency modulated calls, and higher frequency of maximum energy were associated with more isolated small islands. Conversely, forest subcanopy species, exhibiting quasi-constant frequency calls and presenting low dispersal capacity were associated with continuous forests and islands with greater forest area, and were therefore more sensitive to habitat insularization.</p> <p>5. Our study calls attention to the pervasive impacts induced by large dams on the functional diversity of tropical insectivorous bats. We recommend that future assessments of the effects of habitat fragmentation on mammals should include traits linked to ecosystem services. In designing and licensing new dams, we suggest the creation of extensive protected areas surrounding mainland forests to minimize the detrimental impacts of small isolated islands and safeguard the full complement of key ecological functions provided by insectivorous bats.</p>
Accounting for the three-dimensional nature of mountain waves: parametrizing partial critical level filtering
<p>This data is used in the production of figures and results presented in the paper 'Accounting for the three-dimensional nature of mountain waves: parametrizing partial critical level filtering', submitted to the Quarterly Journal of the Royal Meteorological Society.</p> <p> </p> <p>See README file for details.</p> <p> </p> <p> </p>
Realistic 3D avian vocal tract model demonstrates how shape affects sound filtering (Passer domesticus)
<p><span>Despite the complex geometry of songbird's vocal system, it was typically modelled as a tube or with simple mathematical parameters to investigate sound filtering. Here, we developed an adjustable computational acoustic model of a sparrow's upper vocal tract (<em>Passer domesticus</em>), derived from micro-CT scans. We discovered that a 20% tracheal shortening or a 20° beak gape increase caused the vocal tract harmonic resonance to shift towards higher pitch (11.7% or 8.8%, respectively), predominantly in the mid-range frequencies (3-6 kHz). The oropharyngeal-esophageal cavity (OEC), known for its role in sound filtering, was modelled as an adjustable 3D cylinder. For a constant OEC volume, an elongated cylinder induced a higher frequency shift than a wide cylinder (70% versus 37%). We found that the OEC volume adjustments can modify the OEC first harmonic resonance at low frequencies (1.5–3 kHz) and the OEC third harmonic resonance at higher frequencies (6-8 kHz). This work demonstrates the need to consider the realistic geometry of the vocal system to accurately quantify its effect on sound filtering and show that sparrows can tune the entire range of produced sound frequencies to their vocal system resonances, by controlling the vocal tract shape, especially through complex OEC volume adjustments.</span></p>
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
<p><strong>LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters</strong></p> <p><strong>Usage</strong></p> <ul> <li>Download the compressed files (13 in total) and uncompress them</li> <li><strong>Please cite reference 1) below in your publications if you make use of the data of this repository</strong></li> </ul> <p><strong>People & Contact</strong></p> <ul> <li><a href="http://wiki.hh.se/caisr/index.php/Fernando_Alonso-Fernandez">Fernando Alonso-Fernandez</a> (contact person).</li> </ul> <p><strong>References</strong></p> <ol> <li>Hedman, P., Skepetzis, V., Hernandez-Diaz, K., Bigun, J., Alonso-Fernandez, F., "On the Effect of Selfie Beautification Filters on Face Detection and Recognition" <a href="https://github.com/HalmstadUniversityBiometrics/LFW-Beautified/blob/main">https://arxiv.org/abs/2110.08934</a></li> <li>Hedman, P., Skepetzis, V., The Effect of Beautification Filters on Image Recognition: "Are filtered social media images viable Open Source Intelligence?" Master Thesis at Halmstad University, Sweden (Master’s Programme in Network Forensics) <a href="http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799">http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44799</a></li> </ol> <p> </p>
Data from: Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes
<p>Airborne LiDAR has become an essential data source for large-scale, high-resolution modeling of forest aboveground biomass and carbon stocks, enabling predictions with much higher resolution and accuracy than can be achieved using optical imagery alone. Ground noise filtering -- that is, excluding returns from LiDAR point clouds based on simple height thresholds -- is a common practice meant to improve the 'signal' content of LiDAR returns by preventing ground returns from masking useful information about tree size and condition contained within canopy returns. However, ground returns may be helpful for making accurate aboveground biomass predictions in heterogeneous landscapes that include a patchy mosaic of vegetation heights and land cover types.<br> <br> In this paper, we applied several ground noise filtering thresholds while mapping forest AGB across New York State (USA), a heterogenous landscape composed of both contiguously forested and highly fragmented areas with mixed land cover types. We fit random forest models to predictor sets derived from each filtering intensity threshold and compared model accuracies, paying attention to how changes in accuracy correlated with landscape structure. We observed that removing ground noise via any height threshold systematically biases many of the LiDAR-derived variables used in AGB modeling, with mean correlation (Spearman's $\rho$) between variables increasing from 0.183 to 0.266. We found that that ground noise filtering yields models of forest AGB with lower accuracy than models trained using predictors derived from unfiltered point clouds, with RMSE increasing by up to 2.2 Mg ha^-1^ statewide. Although we only modeled AGB for forest cover types, models fit to predictors derived from filtered point clouds performed worse as landscape heterogeneity (as measured by patch density and edge density) increased, suggesting ground returns are particularly useful when modeling edge forests. Our results suggest that ground filtering should be a carefully considered decision when mapping forest AGB, particularly when mapping heterogeneous and highly fragmented landscapes, as ground returns are more likely to represent useful 'signal' than extraneous 'noise' in these cases.</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.