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1,157 results for “Limited data”
Fig. 3 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 3. Bar charts showing frequencies (y-axis) of characters in each homoplasy class (x-axis) for each anatomy-based partition (i.e., HD, MP, … GN/ST). Bar heights indicate the proportion from the total number of characters in each anatomy-based partition that would fall into a particular homoplasy class as defined in the Bayesian analysis based on homoplasy scores. For example, the high frequency of ~0.4 in the 0.0 homoplasy class of leg characters (LG) shows that most characters from this anatomical region are perfectly congruent (i.e., zero homoplasy) with the implied weights parsimony tree. Abbreviations: H: mean homoplasy value across characters in a given partition; HD: head characters (except mouthparts); MP: mouthpart characters; MS: mesosomal characters (except legs and wings); LG: leg characters; WG: wing characters; MT: metasomal characters (except genitalia/sting); GN/ST: characters from the male genitalia and female sting apparatus.
Fig. 11 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 11. Micrographs of the mesophragma of female representatives of apine bees, posterior view, dorsal to the top. (a) Centris analis (Fabricius, 1804). (b) Euglossa cordata (Linnaeus, 1758). (c) Bombus pauloensis Friese, 1913. (d) Tetragonula carbonaria (Smith, 1854). (e) Apis mellifera Linnaeus, 1758. (f) Schematic representation depicting the general anatomy and relative positions of the elements of the internal morphology of mesosoma. Solid arrow indicates the mesophragma in posterior view. Arrowheads indicate morphological conditions coded as character states. Scale bars: 0.2 mm.
Fig. 7 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 7. Micrographs of the propleuron of female representatives of apine bees, lateral view, anterior to the left. (a) Centris analis (Fabricius, 1804). (b) Euglossa cordata (Linnaeus, 1758). (c) Bombus pauloensis Friese, 1913. (d) Tetragonula carbonaria (Smith, 1854). (e) Apis mellifera Linnaeus, 1758. (f) Schematic representation depicting the general anatomy and relative positions of the elements of the complex of the propectus. Solid arrow indicates the propleuron in lateral view. Arrowheads indicate morphological conditions coded as character states. Scale bars: 0.1 mm.
Fig. 8 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 8. Micrographs of the propleuron of female representatives of apine bees, ventral view, anterior to the top. (a) Centris analis (Fabricius, 1804). (b) Euglossa cordata (Linnaeus, 1758). (c) Bombus pauloensis Friese, 1913. (d) Tetragonula carbonaria (Smith, 1854). (e) Apis mellifera Linnaeus, 1758. (f) Schematic representation depicting the general anatomy and relative positions of the elements of the complex of the propectus. Solid arrow indicates the propleuron in ventral view. Arrowheads indicate morphological conditions coded as character states. Scale bars: 0.1 mm.
Fig. 10 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 10. Micrographs of the meso/metafurca complex of female representatives of apine bees, anterior view, dorsal to the top. (a) Centris analis (Fabricius, 1804). (b) Euglossa cordata (Linnaeus, 1758). (c) Bombus pauloensis Friese, 1913. (d) Tetragonula carbonaria (Smith, 1854). (e) Apis mellifera Linnaeus, 1758. (f) Schematic representation depicting the general anatomy and relative positions of the elements of the internal morphology of mesosoma. Solid arrow indicates the meso/metafurca complex in anterior view. Arrowheads indicate morphological conditions coded as character states. Scale bars: 0.2mm.
Fig. 2 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 2. Trees obtained from the equal weights parsimony analyses with some characters deactivated; only the corbiculate bees are shown. (a) Strict consensus of six most parsimonious trees from the analysis with all mouthpart characters deactivated (53 chars deactivated; strict consensus: L = 954, CI = 0.36, RI = 0.79). (b) Strict consensus of 32 most parsimonious trees from the analysis with all genitalia/sting characters deactivated (57 chars deactivated; strict consensus: L = 961, CI = 0.34, RI = 0.79). (c) Strict consensus of 17 most parsimonious trees from the analysis with all mouthpart and genitalia/sting characters deactivated (110 chars deactivated; strict consensus: L = 795, CI = 0.32, RI = 0.78). (d) Strict consensus of 98 most parsimonious trees from the analysis with all characters possibly under some morpho-functional constraint and/or potential selective pressures deactivated (138 chars deactivated, see the Methods section for details; strict consensus: L = 690, CI = 0.30, RI = 0.75). Photographs of A. dorsata, B. pauloensis, C. collaris, and M. quadrifasciata taken from Porto et al. (2021).
Fig. 5 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 5. Micrographs of the prosternum of female representatives of apine bees, ventral view, anterior to the top. (a) Centris analis (Fabricius, 1804). (b) Euglossa cordata (Linnaeus, 1758). (c) Bombus pauloensis Friese, 1913. (d) Melipona scutellaris Latreille, 1811. (e) Apis mellifera Linnaeus, 1758. (f) Schematic representation depicting the general anatomy and relative positions of the elements of the complex of the propectus. Solid arrow indicates the prosternum in ventral view. Arrowheads indicate morphological conditions coded as character states. Scale bars: 0.1 mm.
Fig. 1. Phylogenetic hypotheses for 24 corbiculate bee species and 29 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 1. Phylogenetic hypotheses for 24 corbiculate bee species and 29 closely related apid taxa based on 289 morphological characters. (a) Single most parsimonious tree obtained from the extended implied weights parsimony analysis with characters organized into seven anatomy-based partitions (F = 121.827457, L = 1094, CI = 0.38, RI = 0.81). (b) Strict consensus between the Bayesian trees obtained from the analyses with characters organized into seven anatomy-based or eight homoplasy-based partitions. Filled circles indicate species (or congeneric taxa) illustrated in the boxes below. Squares, numbers and dotted lines indicate taxa with alternative positions in the mirrored tree topologies.Tree branch lengths are depicted not to scale. Species represented in the photographs (from the left to the right): Melipona quadrifasciata Lepeletier, 1836; Apis dorsata Fabricius, 1793; Bombus pauloensis Friese, 1913; Exaerete smaragdina (Guérin-Méneville, 1845); Centris collaris Lepeletier, 1841; Anthophora montana Cresson, 1869; Caenonomada bruneri Ashmead, 1899; Xylocopa ciliata Burmeister, 1876. Photographs of A. dorsata, B. pauloensis, C. collaris, and M. quadrifasciata taken from Porto et al. (2021).
Fig. 4 in Corbiculate Bees (Hymenoptera: Apidae): Exploring the Limits of Morphological Data to Solve a Hard Phylogenetic Problem
Fig. 4. Alternative phylogenetic hypotheses for the corbiculate bees. (a) Hypothesis commonly recovered with morphological data and favored by the data matrix of this study. (b) Hypothesis recovered with current available large phylogenomic datasets and obtained from a constraint grouping Bombini and Meliponini. Step counts in both trees were based on the results from the XIW analysis only with the difference that in (b) Bombini was constrained as sister group of Meliponini but all other relations were left unchanged, including the internal relationships of all corbiculate tribes. Star and dotted box indicate character state transformations optimized onto the given branch (only DELTRAN optimization of character state transformations informative for the corbiculate bees where shown): small, filled circles indicate unique transformations and non-filled circles indicate multiple transformations; numbers above circles denote characters and those below are their respective character states. Large circles to the right of dotted box indicate total number of unique (filled) and multiple (nonfilled) transformations on the branch of interest. Color coding of character state transformations matches those for the respective anatomical partition, indicated in the small boxes inside the large gray box below. Color codes: magenta (head), red (mouthparts), dark orange (mesosoma), green (legs), light blue (wings), yellow (metasoma), dark blue (genitalia/sting), and dark gray (internal morphology). Circles at the bottom-right corner of the small boxes indicate total number of character state transformations for each anatomical partition. Large light orange boxes on bottom-right present some indices and statistics for character state transformations optimized onto each hypothesis and the results of Bayesian topological tests. Abbreviations: L: tree length (step count); RI: global Retention Index; CI: global Consistency Index; MgLk: marginal likelihood calculated for the model constrained on the given tree topology; BF: Bayes factor calculated for the topological tests contrasting the two hypotheses. Photographs of A. dorsata, B. pauloensis, C. collaris, and M. quadrifasciata taken from Porto et al. (2021).
Repurposing natural gas pipelines for hydrogen: limits and options from a case study in Germany (Calculations, Data)
<p>This dataset contains all data for Télessy, Barner and Holz (in preparation): Repurposing natural gas pipelines for hydrogen: limits and options from a case study in Germany.</p> <p>The Python code can be run to reproduce the calculation results, the Excel data provides additional overview of inputs</p>
Data from: Arbuscular mycorrhizal communities respond to nutrient enrichment and plant invasion in phosphorus-limited eucalypt woodlands
<p>Arbuscular mycorrhizal fungi (AMF) facilitate ecosystem functioning through provision of plant hosts with phosphorus (P), especially where soil P is limiting. Changes in soil nutrient regimes are expected to impact AMF, but the direction of the impact may depend on context. We predicted that nitrogen (N)-only enrichment promotes plant invasions and exacerbates their P limitation, increasing the utility of AMF and promoting AMF diversity. We expected that enrichment with N, P and other nutrients similarly promotes plant invasions, but decreases the benefit and diversity of AMF because P is readily available for both native and exotic plants. We tested these hypotheses in eucalypt woodlands of south-western Australia, that occur on soils naturally low in P. We evaluated AMF communities within three modified ground-layer states representing different types of nutrient enrichment and associated plant invasions. We compared these modified states to near-natural reference woodlands. AMF richness varied across ground-layer states. The moderately invaded/N-enriched state showed the highest AMF richness, while the highly invaded/NP-enriched state showed the lowest AMF richness. The reference state and the weakly invaded/enriched state were intermediate. AMF richness and colonisation were higher in roots of exotic than native plant species. AMF community composition differed among ground-layer states, with the highly invaded/NP-enriched state being most distinct. Distinctions among states were often driven by family-level patterns. Reference and moderately invaded/N-enriched states each supported distinct groups of zero-radius operational taxonomic units (zOTUs) in Acaulosporaceae, Gigasporaceae and Glomeraceae, whereas Gigasporaceae and Glomeraceae were nearly absent from the highly invaded/NP-enriched state. Further, Diversisporaceae and Glomeraceae were most diverse in the moderately invaded/N-enriched state.</p> <p> Synthesis. Both the nature of soil nutrient enrichment and plant provenance matter for AMF. N-only enrichment of low-P soils increased AMF richness, likely due to introduction of AMF-dependent exotic plant species and exacerbation of their P-limitation. In contrast, multi-nutrient enrichment, decreased AMF richness potentially due to a decrease in host dependence on AMF, regardless of host provenance. The changes in AMF community composition with nutrient enrichment and plant invasion warrants further research into predicting the functional implications of these changes.</p>
Data for: Iron limitation differentially affects viral replication in key marine microbes
<p>Data for a draft manuscript entitled: Iron limitation differentially affects viral replication in key marine microbes</p>
Data for "Using Simulated Radiances to Understand the Limitations of Satellite Retrieved Volcanic Ash Data and the Implications for Volcanic Ash Cloud Forecasting"
<p>This location contains all of the data used in the analysis for the paper "Using Simulated Radiances to Understand the Limitations of Satellite Retrieved Volcanic Ash Data and the Implications for Volcanic Ash Cloud Forecasting" which is currently in prep.</p> <p>All of the retrieved satellite data can be seen in the retrieved_satellite_data.zip folder. the data is organised by the input ash cloud properties being simulated and the hdf files contain all of the retrieved variables where ash has been successfully detected.</p> <p>All of the output dispersion model data is available in NAME_output_data.zip. </p> <p>All of the input source data used in the dispersion model simulations (including the data from REFIR) is available in NAME_source_data_REFIR.zip.</p>
Raman data for "Mechanisms and seasonal drivers of calcification in the temperate coral Turbinaria reniformis at its latitudinal limits"
<p>This file contains all the Raman data and code for "Mechanisms and seasonal drivers of calcification in the temperate coral <em>Turbinaria reniformis</em> at its latitudinal limits" by Ross et al. in Proceedings of the Royal Society B. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: http://rspb.royalsocietypublishing.org/content/285/1879/20180215</p>
Data: Limiting hearing loss in transgenic mouse models
<p>A collection of post-processing data chunks used for generating figures for the publication <em>Limiting hearing loss in transgenic mouse models. </em>Each folder corresponds to an individual mouse involved in the study and includes datum generated from widefield and two-photon imaging (ROIs, flourescence values, etc.).</p>
FIGURE 1. A–B. Veltheimia capensis. A in Genetic diversity and species limits in Veltheimia (Asparagaceae: Scilloideae): insights from noncoding cpDNA sequence data
FIGURE 1. A–B. Veltheimia capensis. A. Flowering plant in situ. B. Plant in fruit, also showing the papery tunic at the exposed part of the bulb. C–F. Veltheimia bracteata. C. Yellow form in cultivation. D. Common colour form. E. Striated leaved form from Baviaanskloof. F. Whole plant showing the globose bulb and fleshy scales. Photographs: A, B: L. Mucina; C: J. Sampson; D: T. Dold; E: G. Schafer; F: N. Barker.
FIGURE 2 in Genetic diversity and species limits in Veltheimia (Asparagaceae: Scilloideae): insights from noncoding cpDNA sequence data
FIGURE 2. Specimen distribution of species of Veltheimia. Red dots = known localities of V. bracteata, blue triangles = known locations of V. capensis (based on data from the BODATSA database of the National Herbarium, South Africa, http://posa.sanbi.org/). The inserted frame shows the Bayesian Inference phylogeny of the combined chloroplast non-coding data set (numbers shown below the branches indicate Posterior Probability values, the number above the red branch is the parsimony Bootstrap Support value). The branch with the thick red line indicates the "bracteata clade". Numbers preceding sample names link to specimens listed in Table 1, and are also (where the locality is known) indicated on the map. The Median Joining Network (MJN) is shown overlaid on the distribution to indicate the location of the samples (and haplotypes) used in the MJN analysis. The numbers in parentheses next to the lines linking the haplotypes indicate the number of mutational differences between the haplotypes, and the solid black circle indicate an un-sampled or hypothesised missing haplotype.
Data and R File - The Role of Nutrient and Energy Limitation on Microbial Decomposition of Deep Podzolized Carbon: A Priming Experiment
Open the record for dataset details and reuse information.
Data from: Predicting the spatio-temporal dynamics of biological invasions: Have rapid responses in Europe limited the spread of the Asian yellow-legged hornet (Vespa velutina nigrithorax)?
<p>This data was collated from multiple sources including aktion-wespenschutz.de (Germany), The Biological Records Centre, UKCEH (UK), GBIF, L'Inventaire national du patrimoine naturel (France), iNaturalist (Belgium), StopVelutina (Italy), Waarneming.nl (Netherlands), MAGRAMA. Inventario Español del Patrimonio Natural y la Biodiversidad (Spain). </p> <p>Coordinates of occurence records were obatained from the sources above. These records were used in ecological niche models and mechanistic models to simulate the spread of <em>Vespa velutina nigrithorax</em> in Belgium, Germany, The Netherlands and the United Kingdom. </p> <p>Please be sure to cite and credit the orginal data providers if you intend to use this data. </p>
Data from: Admixture mapping of quantitative traits in Populus hybrid zones: power and limitations
Uncovering the genetic architecture of species differences is of central importance for understanding the origin and maintenance of biological diversity. Admixture mapping can be used to identify the number and effect sizes of genes that contribute to the divergence of ecologically important traits, even in taxa that are not amenable to laboratory crosses due to their long generation time or other limitations. Here, we apply admixture mapping to naturally occurring hybrids between two ecologically divergent Populus species. We map quantitative trait loci (QTL) for eight leaf morphological traits using 77 mapped microsatellite markers from all 19 chromosomes of Populus. We apply multivariate linear regression analysis allowing the modeling of additive and non-additive gene action and identify several candidate genomic regions associated with leaf morphology using an information-theoretic approach. We perform simulation studies to assess the power and limitations of admixture mapping of quantitative traits in natural hybrid populations for a variety of genetic architectures and modes of gene action. Our results indicate that (1) admixture mapping has considerable power to identify the genetic architecture of species differences if sample sizes and marker densities are sufficiently high, (2) modeling of non-additive gene action can help to elucidate the discrepancy between genotype and phenotype sometimes seen in interspecific hybrids, and (3) the genetic architecture of leaf morphological traits in the studied Populus species involves complementary and overdominant gene action, providing the basis for rapid adaptation of these ecologically important forest trees.
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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.