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2,107 results for “Spectrum”
Spectrum of cerebral arteriopathies in children with arterial ischaemic stroke
<p><span><b>Objective: </b>To determine that children with arterial ischaemic stroke due to an identifiable arteriopathy are distinct from those without arteriopathy, and that each arteriopathy subtype has unique and recognizable clinical features.</span></p> <p><b>Methods: </b>We report a large, observational, multicenter cohort of children with AIS, age 1-month to 18-years, enrolled into the International Pediatric Stroke Study from 2003 to 2014. Clinical and demographic differences were compared using the Fisher exact test, with linear step-up permutation min-<i>p</i> adjustment for multiple comparisons. Exploratory analyses were conducted to evaluate differences between AIS cases with and without arteriopathy and between arteriopathy subtypes.</p> <p><b>Results: </b>Of 2,127 children with AIS, 725 (34%) had arteriopathy (median age 7.45 years). Arteriopathy subtypes included: dissection (27%), moyamoya (24.5%), focal cerebral arteriopathy–inflammatory subtype (FCA-i, 15%), diffuse cerebral vasculitis (15%), and non-specific arteriopathy (18.5%). Children with arteriopathic AIS were more likely to present between 6-9 years of age (p=0.029, OR 1.93), with headache (p=0.023, OR 1.55), multiple infarctions (p<0.001, OR 2.05), sickle cell anemia (p=0.007, OR 2.9), and head/neck trauma (p=0.018, OR 1.93). Antithrombotic usage and stroke recurrence were higher in children with arteriopathy. Among arteriopathy subtypes, patient with dissection were associated with male sex, older age, headache, and anticoagulant use; FCA-i with hemiparesis and single infarcts; moyamoya with seizures and recurrent strokes; and vasculitis with bilateral infarctions.</p> <p><b>Conclusion: </b>Specific clinical profiles are associated with cerebral arteriopathies in children with AIS. These observations may be helpful indicators in guiding early diagnosis and defining subgroups that may benefit most from future therapeutic trials.</p>
Global patterns of the leaf economics spectrum in wetlands
<p></p><p>The leaf economics spectrum (LES) describes consistent correlations among a variety of leaf traits that reflect a gradient from conservative to acquisitive plant strategies. So far, whether the LES holds in wetland plants at a global scale has been unclear. Using data on 365 wetland species from 151 studies, we find that wetland plants in general show a shift within trait space along the same common slope as observed in non-wetland plants, with lower leaf mass per area, higher leaf nitrogen and phosphorus, faster photosynthetic rates, and shorter leaf life span compared to non-wetland plants. We conclude that wetland plants tend to cluster at the acquisitive end of the LES. The presented global quantifications of the LES in wetland plants enhance our understanding of wetland plant strategies in terms of resources acquisition and allocation, and provide a stepping-stone to developing trait-based approaches for wetland ecology.</p><p></p>
Viruses harness YxxØ motif to interact with host AP2M1 for replication: A vulnerable broad-spectrum antiviral target
<p>Targeting a universal host protein exploited by most viruses would be a game-changing strategy that offers broad-spectrum solution and rapid pandemic control including the current COVID-19. Here, we found a common YxxØ-motif of multiple viruses that exploits host AP2M1 for intracellular trafficking. A library chemical, <em>N</em>-(p-amylcinnamoyl)anthranilic acid (ACA), was identified to interrupt AP2M1-virus interaction and exhibit potent antiviral efficacy against a number of viruses in vitro and in vivo, including the influenza A viruses (IAVs), Zika virus (ZIKV), human immunodeficiency virus, and coronaviruses including MERS-CoV and SARS-CoV-2. YxxØ mutation, AP2M1 depletion, or disruption by ACA causes incorrect localization of viral proteins, which is exemplified by the failure of nuclear import of IAV nucleoprotein and diminished endoplasmic reticulum localization of ZIKV-NS3 and enterovirus-A71-2C proteins, thereby suppressing viral replication. Our study reveals an evolutionarily conserved mechanism of protein-protein interaction between host and virus that can serve as a broad-spectrum antiviral target.</p>
Three dimensional dataset combining gait and full body movement of children with autism spectrum disorders collected by Kinect v2 camera
<p><span>To the best of our knowledge, this is the maiden attempt to build a three-dimensional dataset that combines gait and body movement analysis of children with Autism Spectrum Disorders (ASD) in controlled environments for fifty children with autism children and fifty typical children. A 3D dataset includes 3D joints positions, the corresponding skeleton movement video, joints trajectories video captured by Kinect v2, and color videos captured by Samsung Note 9 rear camera. On the other hand, color videos for 9 children suffer from severe autism is also included for scientific benefit. Finally, the dataset includes 700 folders (350 for typical children, 350 for children with ASD) which include 3D files of tracked joints, angles between joints, and skeleton tracking video related to the augmentation of the original dataset based on seven transformations described in the paper.</span></p>
Data from: Signatures of introgression across the allele frequency spectrum
<p>This repository is associated with the article "Signatures of introgression across the allele frequency spectrum" by Simon H. Martin and William Amos, in Molecular Biology and Evolution (<a href="https://doi.org/10.1093/molbev/msaa239">https://doi.org/10.1093/molbev/msaa239</a>)</p> <p>Empirical genotype data from six different taxa are included. All are based on previously published data, but we provide the processed genotype files and frequency spectra used for our analyses for convenience. The repository also contains the plotted values underlying all figures (both empirical and simulated results).</p>
data set related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis
<p>This record contains raw data related to article Brain Network Organization Correlates with Autistic Features in Preschoolers with Autism Spectrum Disorders and in Their Fathers - Preliminary Data from a DWI Analysis</p>
Natural history, phenotypic spectrum, and discriminative features of multisystemic RFC1-disease
<p>Objective: To delineate the full phenotypic spectrum, discriminative features, piloting longitudinal progression data, and sample size calculations of RFC1-repeat expansions, recently identified as causing cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS).</p> <p>Methods: Multimodal RFC1 repeat screening (PCR, southern blot, whole-exome/genome (WES/WGS)-based approaches) combined with cross-sectional and longitudinal deep-phenotyping in (i) cross-European cohort A (70 families) with ≥2 features of CANVAS and/or ataxia-with-chronic-cough (ACC); and (ii) Turkish cohort B (105 families) with unselected late-onset ataxia.</p> <p>Results: Prevalence of RFC1-disease was 67% in cohort A, 14% in unselected cohort B, 68% in clinical CANVAS, and 100% in ACC. RFC1-disease was also identified in Western and Eastern Asians, and even by WES. Visual compensation, sensory symptoms, and cough were strong positive discriminative predictors (>90%) against RFC1-negative patients. The phenotype across 70 RFC1-positive patients was mostly multisystemic (69%), including dysautonomia (62%) and bradykinesia (28%) (=overlap with cerebellar-type multiple system atrophy [MSA-C]), postural instability (49%), slow vertical saccades (17%), and chorea and/or dystonia (11%). Ataxia progression was ~1.3 SARA points/year (32 cross-sectional, 17 longitudinal assessments, follow-up ≤9 years [mean 3.1]), but also included early falls, variable non-linear phases of MSA-C-like progression (SARA 2.5-5.5/year), and premature death. Treatment trials require 330 (1-year-trial) and 132 (2-year-trial) patients in total to detect 50% reduced progression.</p> <p>Conclusions: RFC1-disease is frequent and occurs across continents, with CANVAS and ACC as highly diagnostic phenotypes, yet as variable, overlapping clusters along a continuous multisystemic disease spectrum, including MSA-C-overlap. Our natural history data help to inform future RFC1-treatment trials.</p>
Variations in leaf economics spectrum traits for an evergreen coniferous species: Tree size dominates over environment factors
<ol> <li>Many leaf traits strongly vary with tree size and environmental factors, but the importance of these factors to intraspecific variations of leaf traits in forest trees have rarely been <a><span>simultaneously</span></a> evaluated.</li> <li>We measured needle longevity and specific leaf area (SLA) and nitrogen (N) content of every needle age (0 to 4 year old) for 65 individuals with 0.3-100 cm diameter at breast height (DBH) for an evergreen coniferous species, <i>Pinus koraiensis</i> Sieb. et Zucc., in Northeast China. We <a><span>simultaneously</span></a> evaluated effects of tree size (DBH or tree height) and environment factors (light intensity, soil N content and water availability) on the needle longevity, SLA, foliage N content as well as the slopes of regressions of SLA and foliage N content against needle age.</li> <li>All of the studied leaf traits and slopes of regressions of SLA and foliage N content against needle age were significantly related to tree size. Tree height had a greater impact on SLA and area-based leaf N content (N<sub>area</sub>), whereas DBH was more important for needle longevity and mass-based leaf N content (N<sub>mass</sub>). The environment variables, light intensity, soil N content and water availability, were rather minor factors for trait variations compared with tree size. Significant influences of light intensity were found only on needle longevity, and soil N and water availability had no effects on the leaf traits.</li> <li>Our study clearly showed that tree size is an important driver of intraspecific variations in the key leaf traits of <i>Pinus koraiensis</i> in a natural forest. We also emphasize the importance of DBH or tree height varies depending on leaf traits, suggesting various mechanisms of size effects on the intraspecific variations in leaf traits. We suggest that ecological significance of leaf trait variations needs reconsideration incorporating tree size effect.</li> </ol>
Data from: Linking size spectrum, energy flux and trophic multifunctionality in soil food webs of tropical land-use systems
1. Many ecosystem functions depend on the structure of food webs, which heavily relies on the body size spectrum of the community. Despite that, little is known on how the size spectrum of soil animals responds to agricultural practices in tropical land-use systems and how these responses affect ecosystem functioning. 2. We studied land-use induced changes in belowground communities in tropical lowland ecosystems in Sumatra (Jambi province, Indonesia), a hotspot of tropical rainforest conversion to rubber and oil palm plantations. The study included ca. 30,000 measured individuals from 33 high-order taxa of meso- and macrofauna spanning eight orders of magnitude in body mass. Using individual body masses we calculated the metabolism of trophic guilds and used food-web models to calculate energy fluxes and infer ecosystem functions, such as decomposition, herbivory, primary and intraguild predation. 3. Land-use change was associated with reduced abundance and taxonomic diversity of soil invertebrates, but strong increase in total biomass and moderate changes in total energy flux. These changes were due to increased biomass of large-sized decomposers in soil, in particular earthworms, with their share in community metabolism increasing from 11% in rainforest to 59-76% in jungle rubber, and rubber and oil palm plantations. Decomposition, i.e. the energy flux to decomposers, stayed unchanged, but herbivory, primary and intraguild predation decreased by an order of magnitude in plantation systems. Intraguild predation was very important, being responsible for 38% of the energy flux in rainforest according to our model. 4. Conversion of rainforest into monoculture plantations is associated by an uneven loss of size classes and trophic levels of soil invertebrates resulting in sequestration of energy in large-sized primary consumers and restricted flux of energy to higher trophic levels. Pronounced differences between rainforest and jungle rubber reflect sensitivity of rainforest soil animal communities to moderate land-use changes. Soil communities in plantation systems sustained high total energy flux despite reduced biodiversity. The high energy flux into large decomposers but low energy fluxes to other trophic guilds suggests that trophic multifunctionality of belowground communities is compromised in plantation systems.
Data from: The genetic basis of a rare flower color polymorphism in Mimulus lewisii provides insight to the evolutionary mutation spectrum
A long-standing question in evolutionary biology asks whether the genetic changes contributing to phenotypic evolution are predictable. Here, we identify a genetic change associated with segregating variation in flower color within a population of Mimulus lewisii. To determine whether these types of changes are predictable, we combined this information with data from other species to investigate whether the spectrum of mutations affecting flower color transitions differs based on the evolutionary time-scale since divergence. We used classic genetic techniques, along with gene expression and population genetic approaches, to identify the putative, loss-of-function mutation that generates rare, white flowers instead of the common, pink color in M. lewisii. We found that a frameshift mutation in an anthocyanin pathway gene is responsible for the white-flowered polymorphism found in this population of M. lewisii. Comparison of our results with data from other species reveals a broader spectrum of flower color mutations segregating within populations relative to those that fix between populations. These results suggest that the genetic basis of fixed differences in flower color may be predictable, but that for segregating variation is not.
Data from: Phylogenetic structural equation modelling reveals no need for an 'origin' of the leaf economics spectrum
The leaf economics spectrum (LES) is a prominent ecophysiological paradigm that describes global variation in leaf physiology across plant ecological strategies using a handful of key traits. Nearly a decade ago, Shipley et al. (2006) used structural equation modelling to explore the causal functional relationships among LES traits that give rise to their strong global covariation. They concluded that an unmeasured trait drives LES covariation, sparking efforts to identify the latent physiological trait underlying the 'origin' of the LES. Here, we use newly developed phylogenetic structural equation modelling approaches to reassess these conclusions using both global LES data as well as data collected across scales in the genus Helianthus. For global LES data, accounting for phylogenetic non-independence indicates that no additional unmeasured traits are required to explain LES covariation. Across datasets in Helianthus, trait relationships are highly variable, indicating that global-scale models may poorly describe LES covariation at non-global scales.
Data from: The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection
The leaf economics spectrum (LES) describes global covariation in the traits of plant leaves. The LES is thought to arise from biophysical constraints and habitat filtering (ecological selection against unfit trait combinations along environmental gradients). However, the role of habitat filtering in generating the LES has not been tested experimentally. If the process of habitat filtering plays a role in generating the LES, the LES could weaken in communities that have yet to be filtered by the current environment, for example after abiotic environmental change. LES traits are commonly used to predict community and ecosystem processes, and if the LES weakens in unfiltered communities, LES-based models may no longer apply. In the glasshouse, we experimentally simulated three stages of habitat filtering in response to abiotic change: from unfiltered, to semi-filtered, to completely filtered communities. In each stage, we quantified the strength of the LES and assessed the accuracy of trait-based models of an important ecological process, pathogen infection. The strength of the LES increased with the completeness of habitat filtering, as did the accuracy of trait-based models of plant susceptibility to pathogen infection. Synthesis. Our results suggest that habitat filtering plays a fundamental role in strengthening the trait correlations of the LES and that trait-based models may be less accurate when communities have not been filtered by the current environment, for example, following rapid environmental change.
A relationship between Autism-Spectrum Quotient and face viewing behavior in 98 participants
<p>Faces are one of the most important stimuli that we encounter, but humans vary dramatically in their behavior when viewing a face: some individuals preferentially fixate the eyes, others fixate the mouth, and still others show an intermediate pattern. The determinants of these large individual differences are unknown. However, individuals with Autism Spectrum Disorder (ASD) spend less time fixating the eyes of a viewed face than controls, suggesting the hypothesis that autistic traits in healthy adults might explain individual differences in face viewing behavior. Autistic traits were measured in 98 healthy adults recruited from an academic setting using the Autism-Spectrum Quotient, a validated 50-statement questionnaire. Fixations were measured using a video-based eye tracker while participants viewed two different types of audiovisual movies: short videos of talker speaking single syllables and longer videos of talkers speaking sentences in a social context. For both types of movies, there was a positive correlation between Autism-Spectrum Quotient score and percent of time fixating the lower half of the face that explained from 4% to 10% of the variance in individual face viewing behavior. This effect suggests that in healthy adults, autistic traits are one of many factors that contribute to individual differences in face viewing behavior.</p>
Data from: Root community traits along a land use gradient: evidence of a community-level economics spectrum
1. There is a fundamental trade-off between leaf traits associated with either resource acquisition or resource conservation. This gradient of trait variation, called the economics spectrum also applies to fine roots but whether it is consistent for coarse roots or at the plant community level remains untested. 2. We measured a set of morphological and chemical root traits at a community level (functional parameters; FP) in 20 plant communities located along land-use intensity gradients and across 3 climatic zones (Tropical, Mediterranean and Montane). We hypothesized (i) the existence of a root economics spectrum in plant communities consistent within root types (fine, < 2 mm; coarse, 2-5 mm) but that ii) variations in root traits occur with soil depths (top 20 cm of soil and 100-150 cm deep) and iii) along land use gradients thus leading to variation in root FP. 3. Root FP co-varied, in line with the resource acquisition-conservation trade-off, from communities with root FP syndromes associated to resource acquisition (e.g. high specific root length, SRL; thin diameters and low root dry matter contents, RDMC) to root FP syndromes associated with resource conservation (e.g. low SRL, thick diameters and high RDMC). This pattern was consistent for both fine and coarse roots indicating a strong consistency of a trade-off between resource acquisition and conservation for plant roots. 4. Roots had different suites of traits at different depths, suggesting a disparity in root function and exploitation capacities. Shallow, fine roots were thinner, richer in nitrogen and with lower lignin concentrations associated to greater exploitation capacities compared to deep, fine roots. However, shallow coarse roots were richer in nitrogen, carbon and soluble concentrations than deep, coarse roots. 5. Fine root parameters of highly disturbed, herbaceous dominated plant communities in poorer soils were associated to foraging strategies, i.e. greater SRL and lower lignin and RDMC than those from less disturbed communities. Coarse roots however, were less sensitive to the land use gradient. 6. Synthesis This study demonstrates the existence of a general trade-off in root construction at a community level, which operates within all root types suggesting that all plant tissues are controlled by the trade-off between resource acquisition and conservation.
Data from: Leaf carbon and oxygen isotopes are coordinated with the leaf economics spectrum in Mediterranean rangeland species
The leaf economics spectrum (LES) describes covariation of traits relevant to carbon and nutrient economics across plant species, but much less is known about the relationship between the LES and leaf water economy. We propose an approach combining the measurement of two leaf traits related to water use economy, leaf carbon (δ13C) and oxygen (δ18O) isotopic composition, and the measurement of leaf morphological and nutrient traits to investigate the link between leaf carbon and nutrient economics and water use. We tested the relationships between leaf traits linked to carbon and nutrient use within the LES and water use traits using leaf δ18O as a proxy of stomatal conductance (gs) and δ13C as a proxy of intrinsic water use efficiency (WUEi) across 15 Mediterranean rangeland species grown in an irrigated common garden and in a natural grassland in Southern France. The target species spanned a wide range of variation in leaf morphological and nutrient trait values and a wide range of leaf δ18O and δ13C values. PCA analysis revealed multiple associations among leaf morphology, nutrients and isotopic composition, with the first axis alone explaining 56.0% of the total variation across species. Leaf δ18O and δ13C covaried with leaf morphology and leaf nutrient concentrations along a single resource use axis. Species with high leaf δ18O and δ13C (low gs and high WUEi) exhibited a resource-conservative strategy (high LDMC, low leaf N, P and K) whereas species with low leaf δ18O and δ13C (high gs and low WUEi) showed a more resource-acquisitive strategy (high SLA and leaf N, P and K). These leaf trait syndromes and resource use strategies were strongly conserved across sites with contrasting environmental conditions, indicating that foliar δ18O and δ13C can be included as an integral part of the LES for this set of rangeland species. Overall, the data suggest a tight coupling and coordination between water, carbon and nutrient use strategies across herbaceous plant species. A dual δ18O and δ13C isotope approach combined with LES trait measurements is a promising tool to more comprehensively assess the diversity of resource use strategies among coexisting plant species.
Data from: Intraspecific trait variation across multiple scales: the leaf economics spectrum in coffee
Understanding species differences in plant functional traits has been critical in developing a mechanistic understanding of terrestrial ecological processes. Greater attention is now being placed on understanding the extent, causes and consequences of intraspecific trait variation (ITV). ITV is especially important in governing ecological processes in cropping systems, where only a small number of species or genotypes exist in high abundances. However, it remains unclear if key principles of trait-based ecology – namely the leaf economics spectrum (LES) – also describe intraspecific variation in crop functional biology. There also remains a need to understand whether ITV within crops is random, or structured across environmental, management-related or biological levels of organization in agroecosystems. We employed a nested design field survey to evaluate ITV in leaf traits in coffee (Coffea arabica), one of the world's most widespread tropical crops. We evaluated ITV in eight physiological, morphological and chemical leaf traits, across five nested categorical levels (sites, management systems, spatial location, plant identity, branch identity). We compared patterns of LES trait covariation in coffee, to interspecific patterns observed across over 700 wild plant species. Patterns of bivariate and multivariate ITV in coffee were broadly consistent with, but considerably weaker than, interspecific patterns associated with the LES, indicating that crops may systematically diverge from global patterns of trait trade-offs observed in wild plants. Physiological traits varied most widely (coefficient of variation (cv) 42–107%), followed by morphological traits (cv = 15–38%) and chemical traits (cv = 3–11%). Physiological ITV was best explained by the site in which a coffee plant was growing (17–55% explained), while ITV for chemical traits was best explained by management treatments within sites (25–36%); morphological ITV was higher even at the individual tree level or branch level and remained largely unexplained. Our results support the hypothesis that artificial selection and high-resource agricultural environments lead crops to systematically deviate from patterns of leaf trait covariation observed across wild plants species. Coupled with an understanding of how different traits vary systematically across multiple levels of biological organization, these findings help integrate ITV into future analyses of agroecosystem structure and function.
Dark Sky Simulations ds14_a redshift=0 Mass Power Spectrum
<p>Dark Sky Simulations ds14_a redshift=0 Mass Power Spectrum</p>
On the SINR Statistics of a VFDM Cognitive Spectrum Sharing System: equation (6) coefficients
<p>Dataset for the scientific paper "On the SINR Statistics of a VFDM Cognitive Spectrum Sharing System"</p>
TIEGCM output associated with the publication "Planetary wave (PW) generation in the thermosphere driven by the PW-modulated tidal spectrum"
<p>This data set consists of simulation results associated with the publication "Planetary wave (PW) generation in the thermosphere driven by the PW-modulated tidal spectrum" by Forbes et al. The simulation output is from the thermosphere-ionosphere-electrodynamics general circulation model (TIEGCM) driven by various forcing at its lower boundary of 97 km based on a thermosphere-ionosphere-mesosphere-electrodynamics GCM (TIMEGCM) simulation for 2009. There are the following lower boundary cases defining the 97km zonal and meridional winds, neutral temperature and geopotential height: a. zonal and diurnal mean of wind, temperature and geopotential height (called S0) b. based on hourly values of TIMEGCM simulation c. S0 forcing and tidal forcing of wind, temperature and geopotential height d. S0 forcing and tidal forcing and planetary waves with periods of 2-7 days The output is for day of year 259 to 319, 2009 zonal and meridional neutral wind and neutral temperature between 97 to 200 km altitude. The format is netCDF and the dataset is described in the accompanying publication.</p>
Data Source file for manuscript: Within-host genetic diversity of extended-spectrum beta-lactamase-producing Enterobacterales in long-term colonized patients
<p>ABSTRACT</p><p>Infections caused by extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales (ESBL-PE) are associated with excess morbidity and mortality. Despite recognition of this immediate impact on human health, essential aspects of their molecular epidemiology remain under-investigated. This includes knowledge on the potential of a particular strain to persist in a host, mutational events during colonization, and the genetic diversity in individual patients over time. To investigate long-term genetic diversity of colonizing and infecting ESBL-producing <i>Klebsiella pneumoniae </i>species complex and ESBL-<i>Escherichia coli</i> in individual patients over time, we conducted performed a ten-year longitudinal retrospective study and extracted clinical and microbiological data from electronic health records. In this investigation, 76 ESBL-<i>K. pneumoniae</i> species complex and 284 ESBL-<i>E. coli</i> isolates were recovered from 19 and 61 patients. Strain persistence was detected in all patients colonized with ESBL-<i>K. pneumoniae </i>species complex, and 83.6% of patients colonized with ES BL-<i>E. coli</i>. Antimicrobial resistance genes, plasmid replicons, and whole ESBL-plasmids were shared between isolates regardless of chromosomal relatedness. Our study suggests that patients colonized with ESBL-producers may act as durable reservoirs for ongoing transmission of ESBLs, and that they are at a prolonged risk of recurrent infection with colonizing strains.</p><p>DATA SOURCE FILE</p><p>In this Data Source file, you will find access to the raw data, metadata and results obtained during the study: "Within-host genetic diversity of extended-spectrum beta-lactamase-producing Enterobacterales in long-term colonized patients". Data is organized following the structure of Figures/Tables of the manuscript and Supplementary Material. Additional figures not included in the main manuscript nor in the Supplementary Material are also available.</p><p>All sequencing and sample data from this study can be accessed at the NCBI database under the BioProject number PRJNA910977: <a href="http://dataview.ncbi.nlm.nih.gov/object/PRJNA910977">http://dataview.ncbi.nlm.nih.gov/object/PRJNA910977. </a>No new software was developed during this study. Standard bioinformatics software was used and the commands used can be accessed at the Supplementary Information file.</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.