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101 results for “rapid radiation”
Data set: Australia's hidden radiation - phylogenomic analysis reveals rapid Miocene radiation of blindsnakes
<p>This repository contains the additional raw data to accompany our paper entitled "Australia’s hidden radiation: phylogenomic analysis reveals rapid Miocene radiation of blind snakes."</p> <p>This project is part of the AusARG Initiative funded by BioPlatforms Australia.</p> <p>Raw sequences data can be downloaded from the BioPlatforms downloads portal: https://data.bioplatforms.com/dataset?q=ticket%3ABPAOPS-1196</p> <p><strong>Information about files</strong></p> <ol> <li>ASTRAL_tree_SqCL_AHE.tre - output from ASTRAL-III just with SqCL data + outgroups</li> <li>ASTRAL_tree_SqCL_AHE_Ramphotyphlops.tre - same with above but also including additional <em>Ramphotyphlops </em>genes.</li> <li>mcmctree_1.txt - mcmcfile output from MCMCTree analysis using all SkewT or SkewNormal distribution priors.</li> <li>mcmctree_2.txt - mcmcfile output from MCMCTree analysis using SkewT, SkewNormal, and cauchy distribution priors. **This is the tree used in our publication**</li> <li>mcmctree_strategy1.tre - output phylogeny 1</li> <li>mcmctree_strategy2.tre - output phylogeny 2</li> <li>IQTREE_gcf_scf.nex - gene concordance and site factors for mcmctree_strategy2.tre</li> </ol> <p>tree_data/ folder contains concatenated gene trees (IQTREE) and corresponding shortcut coalescent method (ASTRAL-III) tree.</p> <p>Should there be questions regarding the code and data set, please contact the corresponding author.</p>
Taxon-specific or universal? Using target capture to study the evolutionary history of a rapid radiation
<p>Target capture emerged as an important tool for phylogenetics and population genetics in non-model taxa. Whereas developing taxon-specific capture probes requires sustained efforts, available universal kits may have a lower power to reconstruct relationships at shallow phylogenetic scales and within rapidly radiating clades. We present here a newly-developed target capture set for Bromeliaceae, a large and ecologically-diverse plant family with highly variable diversification rates. The set targets 1,776 coding regions, including genes putatively involved in key innovations, with the aim to empower testing of a wide range of evolutionary hypotheses. We compare the relative power of this taxon-specific set, Bromeliad1776, to the universal Angiosperms353 kit. The taxon-specific set results in higher enrichment success across the entire family, however, the overall performance of both kits to reconstruct phylogenetic trees is relatively comparable, highlighting the vast potential of universal kits for resolving evolutionary relationships. For more detailed phylogenetic or population genetic analyses, e.g. the exploration of gene tree concordance, nucleotide diversity or population structure, the taxon-specific capture set presents clear benefits. We discuss the potential lessons that this comparative study provides for future phylogenetic and population genetic investigations, in particular for the study of evolutionary radiations.</p>
Dataset from: Rapid radiation of ant parasitic butterflies during the Miocene aridification of Africa
<p>Africa has undergone a progressive aridification during the last 20 My that presumably impacted organisms and fostered the evolution of life history adaptations. We test the hypothesis that shift to living in ant nests and feeding on ant brood by larvae of phyto-predaceous <em>Lepidochrysops</em> butterflies was an adaptive response to the aridification of Africa that facilitated the subsequent radiation of butterflies in this genus. Using anchored hybrid enrichment we constructed a time-calibrated phylogeny for <em>Lepidochrysops</em> and its closest, non-parasitic relatives in the<em> Euchrysops </em>section (Poloyommatini). We estimated ancestral areas across the phylogeny with process-based biogeographical models and diversification rates relying on time-variable and clade-heterogeneous birth-death models.<strong> </strong>The <em>Euchrysops </em>section originated with the emerging Miombo woodlands about 22 million years ago (Mya), and spread to drier biomes as they became available in the late Miocene. The diversification of the non-parasitic lineages decreased as aridification intensified around 10 Mya, culminating in diversity decline. In contrast, the diversification of the phyto-predaceous <em>Lepidochrysops</em> lineage proceeded rapidly from about 6.5 Mya when this unusual life history likely first evolved.<strong> </strong>The Miombo woodlands were the cradle for diversification of the <em>Euchrysops</em> section, and our findings are consistent with the hypothesis that aridification during the Miocene selected for a phyto-predaceous life history in species of <em>Lepidochrysops</em>, with ant nests likely providing caterpillars a safe refuge from fire and a source of food when vegetation was scarce.</p>
Data for: Ancient rapid radiation explains most conflicts among gene trees and well-supported phylogenomic trees of nostocalean cyanobacteria
<p>Prokaryotic genomes are often considered to be mosaics of genes that do not necessarily share the same evolutionary history due to widespread Horizontal Gene Transfers (HGTs). Consequently, representing evolutionary relationships of prokaryotes as bifurcating trees has long been controversial. However, studies reporting conflicts among gene trees derived from phylogenomic datasets have shown that these conflicts can be the result of artifacts or evolutionary processes other than HGT, such as incomplete lineage sorting, low phylogenetic signal, and systematic errors due to substitution model misspecification. Here, we present the results of an extensive exploration of phylogenetic conflicts in the cyanobacterial order Nostocales, for which previous studies have inferred strongly supported conflicting relationships when using different concatenated phylogenomic datasets. We found that most of these conflicts are concentrated in deep clusters of short internodes of the Nostocales phylogeny, where the great majority of individual genes have low resolving power. We then inferred phylogenetic networks to detect HGT events while also accounting for incomplete lineage sorting. Our results indicate that most conflicts among gene trees are likely due to incomplete lineage sorting linked to an ancient rapid radiation, rather than to HGTs. Moreover, the short internodes of this radiation fit the expectations of the anomaly zone, i.e., a region of the tree parameter space where a species tree is discordant with its most likely gene tree. We demonstrated that concatenation of different sets of loci can recover up to 17 distinct and well-supported relationships within the putative anomaly zone of Nostocales, corresponding to the observed conflicts among well-supported trees based on concatenated datasets from previous studies. Our findings highlight the important role of rapid radiations as a potential cause of strongly conflicting phylogenetic relationships when using phylogenomic datasets of bacteria. We propose that polytomies may be the most appropriate phylogenetic representation of these rapid radiations that are part of anomaly zones, especially when all possible genomic markers have been considered to infer these phylogenies.</p>
Rapid decline of aerosol absorption coefficient and aerosol optical properties effects on radiative forcing in urban areas of Beijing from 2018 to 2021
<p>data for Rapid decline of aerosol absorption coefficient and aerosol optical properties effects on radiative forcing in urban areas of Beijing from 2018 to 2021</p>
Data from: Rapid radiations outweigh reticulations during the evolution of a 750-million-year-old lineage of cyanobacteria
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Taxon-specific or universal? Using target capture to study the evolutionary history of a rapid radiation
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Data from: Rapid radiation of a plant lineage sheds light on the assembly of dry valley biomes
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Data for: Ancient rapid radiation explains most conflicts among gene trees and well-supported phylogenomic trees of nostocalean cyanobacteria
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Data from: Forget-me-not phylogenomics: Improving the resolution and taxonomy of a rapid island and mountain radiation in Aotearoa New Zealand (Myosotis; Boraginaceae)
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Data from: The rapid radiation of <em>Bomarea</em> (Alstroemeriaceae: Liliales), driven by the rise of the Andes
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Rapid Outer Radiation Belt Flux Dropouts and Fast Acceleration during the March 2015 and 2013 Storms: The Role of ULF Wave Ttansport From a Dynamic Outer Boundary
<p>Duplicate copy of the electron phase space density provided for the Geospace Environment Modeling (GEM) challenge event in March 2013 selected by the <em>Quantitative Assessment of Radiation Belt Modeling</em> focus group. The original copy of the data is available from <a href="https://drive.google.com/drive/u/0/folders/0ByNhSbWkAgdfaGt6TnJMcElhUTg">https://drive.google.com/drive/u/0/folders/0ByNhSbWkAgdfaGt6TnJMcElhUTg</a></p> <p> </p> <p>Data Providers:<br> Michael G. Henderson (LANL; mghenderson@lanl.gov)<br> Steven K. Morley (LANL; smorley@lanl.gov)</p> <p>This data product provides electron phase space density from the Van Allen Probes<br> ECT suite of instruments. The data are calculated similarly to the method described<br> in Morley et al. (2013), with some differences that are noted below.</p> <p>The files are provided in HDF5 format, so the files are self-describing and contain<br> ISTP-style metadata. The files should be directly readable with:<br> - SpacePy (http://sourceforge.net/p/spacepy)<br> - import the spacepy.datamodel module, use the function fromHDF5 to read the data<br> - Autoplot (http://autoplot.org)<br> - MatLab and IDL provide convience routines for reading HDF5</p> <p>Method<br> ------<br> Starting with directional differential flux data from HOPE, MagEIS and REPT, we<br> calculate the PSD as a function of energy, pitch angle, position and time.<br> Following the same basic method given by Morley et al., we transform this to phase <br> space density as a function of the three adiabatic invariants (M, K, L*); note that<br> where Morley et al. used a relativistic Maxwellian fit to the flux spectrum, these<br> data use a smoothing spline fit so that more complex spectral shapes can be<br> represented. Note also that Morley et al. only used REPT, where these files represent<br> the energy ranges of MagEIS and REPT, but also use HOPE to constrain the fit at low<br> energies.</p> <p>While the pitch angles are determined using the EMFISIS data, all three adiabatic <br> invariants are derived from a magnetic field model. These PSD data files use the<br> Tsyganenko and Sitnov (2005) model (aka TS04, T05 or TS05). The models were run using<br> the "definitive" Qin-Denton data files provided by the RBSP ECT-SOC. These files<br> should be made available through the QARBM google drive. </p> <p><br> Caveats<br> -------<br> These data should be considered preliminary. They have undergone a limited amount of<br> verification and prior to publication the data providers should be contacted. New<br> versions of these data may be generated at some point - we do not expect noticeable <br> changes to the data present.<br> Some gaps may be present in the files that are due to calculation of the adiabatic <br> invariants failing. The issues causing these gaps have been resolved in the underlying <br> software, but the data have not yet been regenerated.</p> <p><br> References<br> ----------<br> Morley, S. K., M. G. Henderson, G. D. Reeves, R. H. W. Friedel, and D. N. Baker (2013), <br> Phase Space Density matching of relativistic electrons using the Van Allen Probes: REPT results,<br> Geophys. Res. Lett., 40, 4798-4802, doi:10.1002/grl.50909.</p> <p>Tsyganenko, N. A., and M. I. Sitnov (2005), <br> Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms, <br> J. Geophys. Res., 110, A03208, doi:10.1029/2004JA010798.</p> <p> </p> <p>Also included is the copy of the LANLgeoMag software used in the paper provided on <a href="https://github.com/drsteve/LANLGeoMag">https://github.com/drsteve/LANLGeoMag</a> </p> <p>Copyright (c) 2014, Los Alamos National Security, LLC All rights reserved. Copyright 2014. Los Alamos National Security, LLC. This software was produced under U.S. Government contract DE-AC52-06NA25396 for Los Alamos National Laboratory (LANL), which is operated by Los Alamos National Security, LLC for the U.S. Department of Energy. The U.S. Government has rights to use, reproduce, and distribute this software. NEITHER THE GOVERNMENT NOR LOS ALAMOS NATIONAL SECURITY, LLC MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LIABILITY FOR THE USE OF THIS SOFTWARE. If software is modified to produce derivative works, such modified software should be clearly marked, so as not to confuse it with the version available from LANL.</p> <p>Additionally, redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Los Alamos National Security, LLC, Los Alamos National Laboratory, LANL, the U.S. Government, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY LOS ALAMOS NATIONAL SECURITY, LLC AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL LOS ALAMOS NATIONAL SECURITY, LLC OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</p> <p><br> </p>
Amino acids (AA) all genes for: Beyond Drosophila: resolving the rapid radiation of schizophoran flies with phylotranscriptomics
<p><b>Background:</b></p> <p>The largest radiation of animal life since the end Cretaceous extinction event 66 million years ago is that of schizophoran flies: a third of fly diversity including <i>Drosophila </i>lab fruit flies, house flies, and many other well and poorly known true flies. Rapid diversification has hindered previous attempts to elucidate the phylogenetic relationships among major schizophoran clades. A robust phylogenetic hypothesis for the major lineages containing these 55,000 described species would be critical to understand the processes that contributed to the diversity of these agriculturally, medically, and forensically important flies. We use protein encoding sequence data from transcriptomes, including 3,145 genes from 70 species, representing all superfamilies, to improve the resolution of this previously intractable phylogenetic challenge.</p> <p><b>Results:</b></p> <p>Our results support a paraphyletic acalyptrate grade including a monophyletic Calyptratae and the monophyly of half of the acalyptrate superfamilies. The primary branching framework of Schizophora is well supported for the first time, revealing the primarily parasitic Pipunculidae and Sciomyzoidea s.l. as successive sister groups to the remaining Schizophora. Ephydroidea, <i>Drosophila</i>'s superfamily, is the sister group of Calyptratae. Sphaeroceroidea has modest support as the sister to all non-sciomyzoid Schizophora. We define two novel lineages corroborated by morphological traits, the Modified Oviscapt Clade containing Tephritoidea, Nerioidea, and other families, and the Cleft Pedicel Clade containg Calyptratae, Ephydroidea, and other families. Support values remain low among a challenging subset of lineages, including Diopsidae. The placement of these families remained uncertain in both concatenated maximum likelihood and multi-species coalescent approaches Rogue taxon removal was effective in increasing support values compared with strategies that maximize gene coverage or minimize missing data.</p> <p><b>Conclusions:</b></p> <p>Dividing most acalyptrate fly groups into four major lineages is supported consistently across analyses. Understanding the fundamental branching patterns of schizophoran flies provides a foundation for future comparative research on the genetics, ecology, and biocontrol.</p>
Data from: Phylogenomics reveals three sources of adaptive variation during a rapid radiation
Speciation events often occur in rapid bursts of diversification, but the ecological and genetic factors that promote these radiations are still much debated. Using whole transcriptomes from all 13 species in the ecologically and reproductively diverse wild tomato clade (Solanum sect. Lycopersicon), we infer the species phylogeny and patterns of genetic diversity in this group. Despite widespread phylogenetic discordance due to the sorting of ancestral variation, we date the origin of this radiation to approximately 2.5 million years ago and find evidence for at least three sources of adaptive genetic variation that fuel diversification. First, we detect introgression both historically between early-branching lineages and recently between individual populations, at specific loci whose functions indicate likely adaptive benefits. Second, we find evidence of lineage-specific de novo evolution for many genes, including loci involved in the production of red fruit color. Finally, using a "PhyloGWAS" approach, we detect environment-specific sorting of ancestral variation among populations that come from different species but share common environmental conditions. Estimated across the whole clade, small but substantial and approximately equal fractions of the euchromatic portion of the genome are inferred to contribute to each of these three sources of adaptive genetic variation. These results indicate that multiple genetic sources can promote rapid diversification and speciation in response to new ecological opportunity, in agreement with our emerging phylogenomic understanding of the complexity of both ancient and recent species radiations.
Data from: Impacts of inference method and dataset filtering on phylogenomic resolution in a rapid radiation of ground squirrels (Xerinae: Marmotini)
Phylogenomic datasets are illuminating many areas of the Tree of Life. However, the large size of these datasets alone may be insufficient to resolve problematic nodes in the most rapid evolutionary radiations, because inferences in zones of extraordinarily low phylogenetic signal can be sensitive to the model and method of inference, as well as the information content of loci employed. We used a dataset of >3,950 ultraconserved element (UCE) loci from a classic mammalian radiation, ground-dwelling squirrels of the tribe Marmotini (Sciuridae: Xerinae), to assess sensitivity of phylogenetic estimates to varying per-locus information content across 4 different inference methods (RAxML, ASTRAL, NJst, SVDquartets). Persistent discordance was found in topology and bootstrap support between concatenation- and coalescent-based inferences; among methods within the coalescent framework; and within all methods in response to different filtering scenarios. Contrary to some recent empirical UCE-based studies, filtering by information content did not promote complete among-method concordance. Nevertheless, filtering did improve concordance relative to randomly selected locus sets, largely via improved consistency of two-step summary methods (particularly NJst) under conditions of higher average per-locus variation (and thus increasing gene tree precision). The benefits of dataset filtering are notably variable among classes of inference methods and across different evolutionary scenarios, reiterating the complexities of resolving rapid radiations, even with robust taxon and character sampling.
Implementing large genomic SNP datasets in phylogenetic network reconstructions: a case study of particularly rapid radiations of cichlid fish
<p><span><span><span><span><span><span><span><span><span><span><span>The Midas cichlids of the <i>Amphilophus</i> <i>citrinellus </i>spp<i>.</i> species complex from Nicaragua, are an extraordinary adaptive rapid radiation (<24,000 years old; 13 described species). These cichlids are a very challenging group to infer its evolutionary history in phylogenetic analyses, due to the apparent prevalence of ILS, as well as past and current gene flow. Assuming solely a vertical transfer of genetic material from an ancestral lineage to new lineages is not appropriate in many cases of genes transferred horizontally in nature. Recently developed methods to infer phylogenetic networks under such circumstances might be able to circumvent these problems. These models accommodate not just incomplete lineage sorting, but also gene flow, under the multispecies network coalescent model (MSNC), processes that are at work in young, hybridizing, and/or rapidly diversifying lineages. There are currently only a few programs available that implement MSNC for estimating phylogenetic networks. Here, we present a novel way to incorporate single nucleotide polymorphism (SNP) data into the currently available PhyloNetworks program. Based on simulations, we demonstrate that SNPs can provide enough power to recover the true phylogenetic network. Moreover, our approach results in a faster algorithm compared to the original pipeline in PhyloNetworks, without losing power. We also applied our new approach to infer the phylogenetic network of Midas cichlid radiation. We implemented the most comprehensive genomic dataset to date (RADseq dataset of 679 individuals and >37K SNPs from 19 ingroup lineages) <span><span>and present estimated phylogenetic networks for this extremely young and fast-evolving radiation of cichlid fish. </span></span>We demonstrate that the MSNC is more appropriate than the multispecies coalescent alone for the analysis of this rapid radiation. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Rapid radiation in a highly diverse marine environment
<p>Rapid diversification is often observed when founding species invade isolated or newly formed habitats that provide ecological opportunity for adaptive radiation. However, most of the Earth's diversity arose in diverse environments where ecological opportunities appear to be more constrained. Here, we present a striking example of a rapid radiation in a highly diverse marine habitat. The hamlets, a group of reef fishes from the wider Caribbean, have radiated into a stunning diversity of color patterns but show low divergence across other ecological axes. Although the hamlet lineage is approximately 26 million years old, the radiation appears to have occurred within the last 10,000 generations in a burst of diversification that ranks among the fastest in fishes. As such, the hamlets provide a compelling backdrop to uncover the genomic elements associated with phenotypic diversification and an excellent opportunity to build a broader comparative framework for understanding the drivers of adaptive radiation. The analysis of 170 genomes suggests that color pattern diversity is generated by different combinations of alleles at a few large-effect loci. Such a modular genomic architecture of diversification has been documented before in <em>Heliconius</em> butterflies, capuchino finches and munia finches, three other tropical radiations that took place in highly diverse and complex environments. The hamlet radiation also occurred in a context of high effective population size, which is typical of marine populations. This allows for the accumulation of new variants through mutation and the retention of ancestral genetic variation, both of which appear to be important in this radiation.</p>
Data in support of Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica
<p>Includes alignments and trees for the analysis found in Thomas et al. 2021, Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica; American Journal of Botany, Special Issue: Exploring Angiosperms353: a Universal Toolkit for Flowering Plant Phylogenomics. Alignments comprise subsets of Angiosperms353 genes given each filtering scheme (full, intersection, sortadate_BP, sortadate_TL) and gene type/subset (exons, introns, supercontigs), and for markers downloaded from GenBank, as explained in the Methods section of Thomas et al. 2021. Trees were included for each of these alignments from IQtree and Astral; SVDquartets tree was only estimated for the full set of supercontigs. Gene trees were generated with IQtree. Tree files are named differently than the final manuscript; refer to the number of genes specified in Fig 1 of Thomas et al, 2021 and specified in each filename to identify filtering scheme. Raw sequence reads are available on the Sequence Read Archive at <a href="http://www.ncbi.nlm.nih.gov/bioproject/715342">http://www.ncbi.nlm.nih.gov/bioproject/715342</a>.</p>
Insightful studies of AuCu nanostructures deposited on Ti platform: Effect of rapid thermal annealing on photoelectrochemical activity supported by synchrotron radiation studies
<p>The following dataset contains research data that is the basis of the research article:</p> <p>"Insightful studies of AuCu nanostructures deposited on Ti platform: Effect of rapid thermal annealing on photoelectrochemical activity supported by synchrotron radiation studies"</p> <p>Contents of the package are the following:</p> <p>a) Experimental results of UV-vis absorbance for A-10AuCu/TiND, V-10AuCu/TiND, AR-10AuCu/TiND, H-10AuCu/TiND</p> <p>b) Linear voltammetry carried out in 0.1 M NaOH for A-10AuCu/TiND, V-10AuCu/TiND, AR-10AuCu/TiND, H-10AuCu/TiND (dark/vis)</p> <p>c) XAS for A-10AuCu/TiND and H-10AuCu/TiND</p> <p>d) XPS for A-10AuCu/TiND, V-10AuCu/TiND, AR-10AuCu/TiND, H-10AuCu/TiND</p>
Data from: Whole-genome phylogenetic reconstruction as a powerful tool to reveal homoplasy and ancient rapid radiation in waterflea evolution
<p>The Supplementary Material (and text) to Van Damme et al., contains 10 Supplementary Figures (Figs S1-S10), 5 Supplementary Tables (Tables S1-S5), Supplementary Materials and Methods (ST1), Supplementary Discussion (ST2) and a complete reference list to the manuscript and supplement (Supplementary References SR1). All Supplementary material and text have been peer-reviewed as part of the manuscript. The supplementary discussion provides an additional framework including the importance of the findings of the phylogenomic study for the interpretation of evolution in the Cladocera.</p>
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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.