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78 results for “community data analysis”
Code for data analysis - intra-community variability of leaf-out in temperate tree canopies
<p>The code and data were used for producing the results of "Phenology across scales: an intercontinental analysis of leaf-out dates in temperate deciduous tree communities", by Delpierre et al.</p>
Lemonade Creek, Yellowstone National Park, USA - Microbial Community Analysis - Metabolomics Data
<p>Polar metabolomics data (targeted and untargeted) used for analysis of microbial community function over a diurnal cycle in Lemonade Creek, Yellowstone National Park, USA.</p> <p> </p> <p><code>GNPS_positive-2.xlsx</code> Comparison of GNPS data used for main metabolite analysis with targeted metabolite features. Done to support the accuracy of the GNPS results for metabolites identified outside the targeted set.</p> <p> </p> <p><code>NEG_506963_FinalEMA-HILIC_Identifications.xlsx</code> Negative ionization targeted metabolite identification quality and confidence results (prepared by the Joint Genome Institute, USA).</p> <p><code>NEG_msms_mirror_plots.tar.gz</code> Negative ionization targeted metabolite mirror plots.</p> <p><code>NEG_peak_height.tab</code> Negative ionization targeted metabolite peak height file (main results file used for abundance analysis).</p> <p><code>POS_506963_FinalEMA-HILIC_Identifications.xlsx</code> Positive ionization targeted metabolite identification quality and confidence results (prepared by the Joint Genome Institute, USA).</p> <p><code>POS_msms_mirror_plots.tar.gz</code> Positive ionization targeted metabolite mirror plots.</p> <p><code>POS_peak_height.tab</code> Positive ionization targeted metabolite peak height file (main results file used for abundance analysis).</p> <p> </p> <p><code>NEG_peak_height.csv</code> Negative ionization untargeted metabolite peak height file (main results file used for abundance analysis).</p> <p><code>POS_peak_height.csv</code> Positive ionization untargeted metabolite peak height file (main results file used for abundance analysis).</p>
Lemonade Creek, Yellowstone National Park, USA - Microbial Community Analysis - Cyanidiophyceae genome data for HGT analysis
<p>This dataset consists of 12 metagenome samples that were collected from one of three environments in Yellowstone National Park:</p> <ul> <li>4 samples (numbered 1, 2, 3, 4) are from the "CreekBiofilm" environment.</li> <li>4 samples (1, 2, 3, 4) are from the "Endolithic" environment.</li> <li>4 samples (1, 2, 3, 4) are from the "Soil" environment.</li> </ul> <p>We have found that there are two species of cyanidiophyceae present in these samples: one *Galdieria sulphuraria* (the `*Gsulp*` files) and one *Cyanidioschyzon merolae* (the `*Cmer*` files). For each of these species I extracted their contigs from the metagenome assembly if they had >=10% of their lengths covered by hits with >90% ID to the respective reference genome (i.e., contigs with >10% coverage of hits with >90% ID to a given reference genome). The majority of contigs have >90% hit coverage however, to prevent removal of contigs with novel sequences (arising via HGT or other processes), I used a lenient threshold of 10%. The naming of the files indicate which sample the contigs are from and which of the two cyanidiophyceae species they are putatively from. NOTE: that there are very few predicted proteins in the `YNP_CreekBiofilm_*_Gsulp*` files. This is because this environment is completely dominated by the other algal species and so we recovered very few contigs from this species from these environments.</p>
Supporting isotopic data for: Amino acid isotope analysis reveals variation in gut microbial contribution to host protein metabolism in a wild small mammal community
<p>Herbivory is a dominant feeding strategy among animals, yet herbivores are often protein limited. The gut microbiome is hypothesized to help maintain host protein balance by provisioning essential macromolecules, but this has never been tested in wild consumers. Using amino acid carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotope analysis, we estimated the proportional contributions of essential amino acids (AA<sub>ESS</sub>) synthesized by gut microbes to five co-occurring desert rodents representing herbivorous, omnivorous, and insectivorous functional groups. We found that herbivorous rodents occupying lower trophic positions (<em>Dipodomys </em>spp.) routed a substantial proportion (~40–50%) of their AA<sub>ESS</sub> from gut microbes, while higher trophic level omnivores (<em>Peromyscus </em>spp.) and insectivores (<em>Onychomys arenicola</em>) obtained most of their AA<sub>ESS</sub> (~58%) from plant-based energy channels but still received ~20% of their AA<sub>ESS</sub> from gut microbes. These findings empirically demonstrate that gut microbes play a key functional role in host protein metabolism in wild animals. </p>
Data from: Spider webs, stable isotopes and molecular gut content analysis: multiple lines of evidence support trophic niche differentiation in a community of Hawaiian spiders
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Data from: Assembling microbial communities: a genomic analysis of a natural experiment in neotropical bamboo internodes
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Environmental, phytoplankton, zooplankton and fish community data from Swedish lakes for food web analysis
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Data from: A new digital method of data collection for spatial point pattern analysis in grassland communities
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Data from: A phylogenetic- and trait-based analysis of community assembly in a subtropical forest in central China
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Data from: Bringing multivariate support to multiscale codependence analysis: assessing the drivers of community structure across spatial scales
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Data from: Seasonal differences in fish community structure in the upper Yangtze river based on eDNA metabarcoding: A multi-dimensional analysis
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Supporting isotopic data for: Amino acid isotope analysis reveals variation in gut microbial contribution to host protein metabolism in a wild small mammal community
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Data from: Multidimensional stable isotope analysis illuminates resource partitioning in a sub-Antarctic island bird community
1. A central theme in community ecology is understanding how similar species co-exist and how their interactions may evolve in the context of climate change. Most studies of resource partitioning among central place foragers, particularly birds, focus on the offspring-rearing period, when they are accessible, but breeding success may be determined earlier and little is known about how such species partition resources at the onset of breeding. 2. We used a non-invasive approach to evaluate resource partitioning in co-existing females at a sub-Antarctic island during their pre-laying periods. 3. Three hypotheses were tested using carbon, nitrogen and oxygen stable isotope ratios measured in shells and membranes of hatched eggs as ecological tracers: 1) resource partitioning by geographic location and trophic level will exist among the 12 bird species and will be enhanced within taxonomic groups; 2) given the absence of strong oxygen gradients in the Southern Ocean we will not detect spatial structuring based on oxygen isotopes, but differences will exist between resident and oceanic species as the former may use meteoric water; 3) capital and income breeder strategies can be differentiated using stable isotopes of egg remains. 4. Two and three dimensional isotopic data showed resource partitioning among species. As predicted, segregation was evident within the four main taxonomic groups: penguins, albatrosses, burrowing petrels and giant petrels. Unexpectedly, oxygen isotopes revealed widespread use of meteoric water among a suite of sub-Antarctic birds. Stable isotopes allowed us to identify females of most species as income breeders at the onset of breeding, with the exception of the two crested penguin females exhibiting a mix of income and capital resources use. 5. Multidimensional isotopic analyses revealed that resource partitioning exists at multiple stages of the annual cycle in ways likely to be important under global change, exhibiting wide potential for ecosystem analysis.
Data from: Community structure of a Neotropical bat fauna as revealed by stable isotope analysis: Not all species fit neatly into predicted guilds
Neotropical bat communities are among the most diverse mammal communities in the world, and a better understanding of these assemblages may permit inferences about how so many species coexist. While broad trophic guilds (e.g., frugivore, insectivore) of bats are recognized, details of diet and similarities among species remain largely unknown. We used stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) to characterize the community structure of a diverse Neotropical bat fauna from Belize to test predictions of niche theory and the competitive exclusion principle. We predicted that (1) interspecific variation in isotopic overlap would be greater within guilds than between guilds, and (2) no two sympatric populations would have isotopic niches that overlap completely, unless there is variation along some other axis (e.g., temporal, spatial). We additionally tested body size as an explanatory metric of potential overlap, and predicted that larger-bodied animals would have greater niche breadths. Results suggest that while guild-level characterizations of communities is at least somewhat informative, there are multiple examples of intra- and inter-guild species pairs with significantly overlapping isotopic niches, suggesting that, counter to predictions, they may compete for resources. Understanding the trophic structure of animal communities is fundamental to conservation and management of endangered species and ecosystems and important for evolutionary studies, and stable isotope analyses can provide key insights as well as informing hypotheses of the diet of species that are not well known.
Data from: Social network analysis of psychological morbidity in an urban slum of Bangladesh: a cross-sectional study based on a community census
Background Social ties are believed to play important roles in mitigating depression and anxiety, as well as fostering mental health in the population. We test this association for young urban men in Bangladesh. Methods Using a locally adapted GHQ-12 instrument, we enumerate self-reported mental health outcomes for 824 post-adolescent young men between the ages of 18 and 29 in a low-income urban community in Dhaka, Bangladesh. We further measure the social network for all our subjects and estimate the association of social network of the respondents with self-reported mental health outcomes controlling for possible confounders. Results We find there are considerable variations in both the mental health outcomes and social network across respondents. The GHQ scores (mean = 9.2, SD = 4.9) suggest significant psychological morbidity among the respondents. However, our findings imply better social ties and connections can potentially mitigate negative mental health outcomes (0.05-0.65 lower standardized GHQ score). Among other factors, being married and a recent migrant are also associated with better mental health status (0.17-0.20 and 0.16-0.17 lower standardized GHQ scores respectively). Conclusion Our results underscore the importance of social connection in providing buffer against stress and anxiety through psychosocial support from one's peer in a resource constraint urban setting. Our findings also suggest incorporating social network and ties in designing mental health policies and interventions.
Data from: Belowground community responses to fire: meta-analysis reveals contrasting responses of soil microorganisms and mesofauna
Global fire regimes are shifting due to climate and land use changes. Understanding the responses of belowground communities to fire is key to predicting changes in the ecosystem processes they regulate. We conducted a comprehensive meta-analysis of 1634 observations from 131 empirical studies to investigate the effect of fire on soil microorganisms and mesofauna. Fire had a strong negative effect on soil biota biomass, abundance, richness, evenness, and diversity. Fire reduced microorganism biomass and abundance by up to 96%. Bacteria were more resistant to fire than fungi. Fire reduced nematode abundance by 88% but had no significant effect on soil arthropods. Fire reduced richness, evenness and diversity of soil microorganisms and mesofauna by up to 99%. We found little evidence of temporal trends towards recovery within 10 years post-disturbance suggesting little resilience of the soil community to fire. Interactions between biome, fire type, and depth explained few of these negative trends. Future research at the intersection of fire ecology and soil biology should aim to integrate soil community structure with the ecosystem processes they mediate under changing global fire regimes.
Data from: Community analysis of microbial sharing and specialization in a Costa Rican ant–plant–hemipteran symbiosis
Ants have long been renowned for their intimate mutualisms with trophobionts and plants and more recently appreciated for their widespread and diverse interactions with microbes. An open question in symbiosis research is the extent to which environmental influence, including the exchange of microbes between interacting macroorganisms, affects the composition and function of symbiotic microbial communities. Here we approached this question by investigating symbiosis within symbiosis. Ant–plant–hemipteran symbioses are hallmarks of tropical ecosystems that produce persistent close contact among the macroorganism partners, which then have substantial opportunity to exchange symbiotic microbes. We used metabarcoding and quantitative PCR to examine community structure of both bacteria and fungi in a Neotropical ant–plant–scale-insect symbiosis. Both phloem-feeding scale insects and honeydew-feeding ants make use of microbial symbionts to subsist on phloem-derived diets of suboptimal nutritional quality. Among the insects examined here, Cephalotes ants and pseudococcid scale insects had the most specialized bacterial symbionts, whereas Azteca ants appeared to consume or associate with more fungi than bacteria, and coccid scale insects were associated with unusually diverse bacterial communities. Despite these differences, we also identified apparent sharing of microbes among the macro-partners. How microbial exchanges affect the consumer-resource interactions that shape the evolution of ant–plant–hemipteran symbioses is an exciting question that awaits further research.
Data from: Paleocommunity analysis of the Burgess Shale Tulip Beds, Mount Stephen, British Columbia: comparison with the Walcott Quarry and implications for community variation in the Burgess Shale
The Tulip Beds locality on Mount Stephen (Yoho National Park, British Columbia) yields one of the most abundant and diverse (~10,000 specimens in 110 taxa) Burgess Shale fossil assemblages in the Canadian Rockies. Detailed semi quantitative and quantitative analyses of this assemblage suggest strong similarities with the Walcott Quarry on Fossil Ridge. Both assemblages are dominated by epibenthic, sessile, and suspension feeding taxa, mostly represented by arthropods and sponges and have comparable diversity patterns, despite sharing only about half the genera. However, the Tulip Beds has a higher relative abundance of suspension feeders and taxa of unknown affinity compared to the Walcott Quarry. These biotic variations are probably largely attributable to ecological and evolutionary differences between the two temporally distinct communities that adapted to similar, but not identical, environmental settings. For instance, the Tulip Beds is farther away from the Cathedral Escarpment than the Walcott Quarry. The Tulip Beds and Walcott Quarry assemblages are more similar to each other than either one is to the assemblages of the Chengjiang biota, although the relative diversity of major taxonomic groups and ecological patterns are similar in all assemblages. The conserved diversity patterns and ecological structures among sites suggest that the ecological composition of Cambrian Burgess Shale-type communities was relatively stable across wide geographic and temporal scales.
Data from: Molecular diet analysis finds an insectivorous desert bat community dominated by resource sharing despite diverse echolocation and foraging strategies
Interspecific differences in traits can alter the relative niche use of species within the same environment. Bats provide an excellent model to study niche use because they have a wide variety of behavioural, acoustic and morphological traits that may lead to multi-species, functional groups. Predatory bats have been classified by their foraging location (edge, clutter, open space), ability to aerial hawk and/or substrate glean prey and echolocation call design and flexibility, all of which may dictate their diet. For example, high frequency, broadband calls do not travel far but offer high object resolution while high intensity, low frequency calls travel further but provide lower resolution. Because these behaviours can be flexible four behavioural categories have been proposed: (1) gleaning, (2) behaviourally flexible (gleaning and hawking), (3) clutter tolerant hawking, and (4) open space hawking. Recent studies of diet in bats use molecular tools to identify prey but mainly focus on one or two species in isolation and few studies provide evidence for substantial differences in prey use despite the many behavioural, acoustic and morphological differences. Here we analyse the diet of 17 sympatric species in the Chihuahuan desert and test the hypothesis that peak echolocation frequency and behavioural categories are linked to differences in diet. We find no significant correlation between dietary richness and echolocation frequency (though it spanned close to 100kHz across species). However, our data suggest that behaviourally flexible bats that use gleaning and aerial hawking have the broadest diets and are the most differentiated from clutter-tolerant aerial hawking species.
Data from: 18S rRNA metabarcoding diet analysis of the predatory fish community across seasonal changes in prey availability
Predator-prey relationships are important ecological interactions, affecting biotic community composition and energy flow through a system, and are of interest to ecologists and managers. Morphological diet analysis has been the primary method used to quantify the diets of predators, but emerging molecular techniques using genetic data can provide more accurate estimates of relative diet composition. This study used sequences from the 18S V9 rRNA barcoding region to identify prey items in the gastrointestinal (GI) tracts of predatory fishes. Predator GI samples were taken from the Black River, Cheboygan Co., MI, USA (n=367 samples, 12 predator species) during periods of high prey availability, including the larval stage of regionally threatened lake sturgeon (Acipenser fulvescens Rafinesque 1817) in late May/early June of 2015 and of relatively lower prey availability in early July of 2015. DNA was extracted and sequenced from 355 samples (96.7%), and prey DNA was identified in 286 of the 355 samples (80.6%). Prey were grouped into 33 ecologically significant taxonomic groups based on the lowest taxonomic level sequences that could be identified using sequences available on GenBank. Changes in the makeup of diet composition, dietary overlap, and predator preference were analyzed comparing the periods of high and low prey abundance. Some predator species exhibited compositional changes in diet. Dietary overlap was slightly but significantly higher during the period of high prey abundance. There was little evidence for large changes in predator preference between the two periods. This study demonstrates the utility of molecular diet analysis in understanding predator-prey interactions in complex freshwater communities.
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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.