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4,563 results for “correlations”
Fig. 3 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 3. Kinematic diagrams displaying relative proportion of spin-steps in each position as relative size of the circles. Saturated black color of the body represents dorsal spinning; dark gray represents kinematics when the embiopteran faces the framework silk and spins with her ventral surface facing the camera and the emerging silk structure. Spinning was recorded during hour-long filming sessions in the laboratory in an apparatus as shown in Supp Fig. 1 [online only]. (A) Notoligotoma hardyi average spin dynamics, (B) Haploembia tarsalis average spin dynamics, (C) Diagram shows the positions of the different possible spinsteps whereby the words are placed in the position of the front foot as the embiopteran steps around her body to release silk with each foot fall.The same steps are taken on the left as well during spinning. See Supp Video 2 [online only] for examples of spinning behavior exhibited by individual females.
Fig. 5 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 5. Phylogenetic relationships and sequence similarities (n = 15) for all individuals in this study. (A) Sequence similarities are depicted as a heat map, with the diagonal representing self-similarities.The small outlined boxes along the diagonal indicate all intraspecific comparisons, and the mean intraspecific similarity for each species is depicted above the heat map. For comparison, the inset graph, (B) shows the similarity among pairs of species for a trait that is evolving according to the Ornstein-Uhlenbeck model.The large clade constituting the top 19 species shows high similarity among species (mostly dark colors in the upper left), but low similarity to the two outgroups to this clade (bottom six species, shows as lighter gray colors).The phylogenetic tree is based on Miller et al. 2012.
Fig. 7 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 7. Predictors of intraspecific similarity scores. The three panels show the partial residual plots for the three variables selected in the final model for a subsequence length of 15. Intraspecific similarity as a function of: (A) mean annual temperature, (B) temperature seasonality, and (C) silk gallery structure. Two-letter codes indicate the species as in Fig. 6.
Supporting data for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences"
<p>Datasets, analysis scripts and simulations for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences".</p> <p>For more information and instructions, see READ ME.txt.</p> <p>For questions, contact Jelmer Boter (j.m.boter@tudelft.nl) or Lieven Vandersypen (l.m.k.vandersypen@tudelft.nl).</p>
Data from: Genetic and environmental canalization are not correlated among altitudinally varying populations of Drosophila melanogaster
<p>Organisms are exposed to environmental and mutational effects influencing both mean and variance of phenotypes. Potentially deleterious effects arising from this variation can be reduced by the evolution of buffering (canalizing) mechanisms, ultimately reducing phenotypic variability. There has been interest regarding the conditions enabling the evolution of canalization. Under some models, the circumstances under which genetic canalization evolves is limited, despite apparent empirical evidence for it. It has been argued that genetic canalization evolves as a correlated response to environmental canalization (congruence model). Yet, empirical evidence has not consistently supported predictions of a correlation between genetic and environmental canalization. In a recent study, a population of <em>Drosophila </em>adapted to high altitude showed evidence of genetic decanalization relative to those from low altitudes. Using strains derived from these populations, we tested if they varied for multiple aspects of environmental canalization We observed the expected differences in wing size, shape, cell (trichome) density and mutational defects between high- and low-altitude populations. However, we observed little evidence for a relationship between measures of environmental canalization with population or with defect frequency. Our results do not support the predicted association between genetic and environmental canalization.</p>
Proteomes in 3D - Correlation Analyses - Fluxes vs LiP Peptides
<p>Analysis of metabolic fluxes that correlate with protein structural changes across 8 metabolic conditions in E. coli, associated to the manuscript by Cappelletti et al., currently under consideration. Results are expressed as data from a given metabolic condition relative to growth in glucose.</p> <p>Plot title: Protein name_Peptide sequence</p> <p>X-axis: Log<sub>2</sub> FC [LiP peptide (condition/glucose)]</p> <p>Y-axis: Log<sub>2</sub> FC [Flux (condition/glucose)]</p> <p>The following files contain the statistical parameters of the analysis (p and q-values and R-square values) for all the uploaded plots:</p> <p>- Statistics_p_and_q_values.txt</p> <p>- Statistics_R2.txt</p>
Fast Remote Correlation Experiments for 1H Homonuclear Decoupling in Solids
<p>Experimental, pulse sequence and processing codes of the article ''Fast Remote Correlation Experiments for 1H Homonuclear Decoupling in Solids.''published in JMR.</p> <p>Read the readme.rtf file for more information.</p>
Data Associated with the paper "Bell correlations between light and vibration"
<p>Data Associated with the <a href="http://doi.org/10.1126/sciadv.abb0260">following paper</a></p> <blockquote> <p>S. Tarrago Velez, V. Sudhir, N. Sangouard, C. Galland, Bell correlations between light and vibration at ambient conditions. Sci. Adv. 6, eabb0260 (2020).</p> </blockquote> <p>A thorough explanation of the experiment performed is available there.</p> <p> </p> <p>The file <strong>RawData_DelaySweep.zip</strong> contains the raw count information as obtained during the experiment. It is organized in different folders, each containing the data associated with one particular position of the delay stage. The file naming convention has the position, followed by the angles in detection (thA corresponds to the Stokes detection arm and thB corresponds to the anti-Stokes detection arm), and the acquisition time. As explained in the Supplementary Information Sec. 2.1, there are multiple measurements for each combination of delay and detection settings. The zip file also contains the file AnalysisBellv3.py, which was used to analyze the data. Running the file produces 'resultsBell.txt' and 'results_g2.txt', which contain the results for the CHSH parameter and the second order cross correlation, respectively.</p> <p> </p> <p>The file <strong>RawData_Visibility.zip</strong> contains the raw count information obtained for the visibility curves, as expained in the Supplementary Information Sec. 2.1. The files follow the same naming convention as those in RawData_DelaySweep.zip. It also contains the file AnalysisCounts.py, which analyzes the data to obtain the correlation parameters.</p> <p> </p> <p>The file <strong>BellCorrelations_CompiledData.xlsx</strong> is a spreadsheet containing the results of the analysis of the previous two sets of data.</p>
Reproduction package for the paper "Correlating spectral and timing properties in the evolving jet of themicro blazar MAXI J1836-194"
<p>Basic reproduction package for the paper in the title; it contains all the necessary information and scripts required to replicate the results and plots, minus the proprietary code used (which can be found on github on request).</p>
Long-Term Global Satellite Soil Moisture from Maximized Temporal Correlations (1998-2015)
<p>A long-term merged satellite soil moisture product spanning 1998 to 2015. An existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil moisture products within the period. These include the Special Sensor Microwave Imagers (SSM/I), the Tropical Rainfall Measuring Mission (TRMM/TMI), the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor on the National Aeronautics and Space Administration’s (NASA) Aqua satellite, the WindSAT radiometer, onboard the Coriolis satellite and the soil moisture retrievals from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor onboard the Global Change Observation Mission on Water (GCOM-W). The sixth is the microwave radiometer imager (MWRI) onboard China’s Fengyun-3B (FY3B) satellite, which is being used for the first time in a merging scheme. </p> <p>For more details on the quality of the data and the methodology used, please refer to the references listed:</p> <p>Hagan, D.F.T.; Wang, G.; Kim, S.; Parinussa, R.M.; Liu, Y.; Ullah, W.; Bhatti, A.S.; Ma, X.; Jiang, T.; Su, B. Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging. Remote Sens. 2020, 12, 2164.</p> <p>Kim, S.; Parinussa, R.M.; Liu, Y.Y.; Johnson, F.M.; Sharma, A. A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation. Geophys. Res. Lett. 2015, 42, 6662–6670.</p>
Maternal and genetic correlations between morphology and physical performance traits in a small captive primate, Microcebus murinus
<p>Physical performance traits are key components of fitness and direct targets of selection. Maternal effects are important components of integrated phenotypes in a variety of species. Yet their contribution to variation in performance, and phenotypes closely associated with performance, remains poorly understood. We used an animal model approach to quantify the contribution of maternal effects to performance trait variation (in bite force and pull strength) and the relationships between performance and the relevant underlying morphology in <i>Microcebus murinus</i>. We show that bite force is heritable (h<sup>2</sup>~0.23), and that maternal effects are also important source of variation, resulting in a medium inclusive heritability (IH<sup>2</sup>~0.47). Grip strength presented a rather low and non-significant narrow-sense heritability suggesting a higher selective pressure on this trait. Genetic correlations between performance traits and their associated morphometric traits were significant and high (0.47 bite force-head width; 0.48 grip strength-radius length), as was the maternal correlation for bite force-head width (0.75). Further studies evaluating the heritability of performance for other taxa and the role of maternal effects are badly needed to better understand the drivers of variation in performance ultimately allowing for a better understanding of the importance of these types of traits in an evolutionary context.</p>
Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance
<p>This archive contains the simulated collections and the estimated correlation coefficients. For the full code and description, please refer to https://github.com/julian-urbano/sigir2016-correlation</p>
ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy
<p>Data for submission to Wellcome Open Research entitled "ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy".</p> <p>Data_ultraLM.tif is an image stack from the fluorescence microscope mounted on the ultramicrotome.</p> <p>Data_miniLM.tif is an image stack from the fluorescence microscope mounted in the SBF-SEM.</p> <p>Data_miniLM_EM.tif is an image stack from the SBF-SEM while the miniLM was in-situ.</p>
Example LOFAR Station Correlations
<p>Example cross-correlation data sets from the LOFAR stations at Chilbolton Observatory and Onsala Space Observatory. Used in the python SWHT package (https://github.com/griffinfoster/SWHT) and station imaging scripts (https://github.com/griffinfoster/lss).</p>
Exaggerated mandibles are correlated with enhanced foraging efficacy in male Auckland tree wētā
<p class="MsoNormal">Sexual selection has driven the evolution of weaponry for males to fight rivals to gain access to females. Although weapons <span>are predicted to increase males' reproductive success, they are also expected to</span> incur costs and may impair functional activities, including foraging. Using feeding assays, we tested whether the enlarged mandibles of Auckland tree wētā (<em>Hemideina thoracica</em>) impact feeding activity (the total volume of biomass consumed, bite rate, and number of foraging visits) and foraging behaviour (time spent moving, feeding, or stationary). We predicted that increased mandible length in male wētā would hinder their feeding rates. However, we found that wētā with longer heads fed at a faster rate and spent less time foraging than wētā with smaller heads, regardless of sex. Contrary to expectations that weapons impede functional activities, our results demonstrate that exaggerated traits can improve feeding performance and may offer benefits other than increased mating success.</p>
FIG. 2 in A revised heterostracan-based ichthyostratigraphy of the Wood Bay Formation (Lower Devonian, Spitsbergen), and correlation with Russian Arctic archipelagos
FIG. 2. — Stratigraphical section of the Andrée Land Block of northern Spitsbergen, after Harland (1997) and Blomeier et al. (2003a). Ages after Blieck et al. (2000, 2002) and McCann (2000). Note that: 1) it is common to subdivide the lowermost part of the Red Bay Group into Wulffberget, Rabotdalen (locally present) and Princesse Alicefjellet formations instead of only the Rivieratoppen Formation, according to Murashov & Mokin (1976, 1979) – this subdivision being applicable throughout the Devonian of northern Spitsbergen (Blomeier et al. 2003a, b); and 2) the Grey Hoek and Wijde Bay formations are considered as lateral equivalents and Eifelian in age by Schweitzer (1999); however, Schweitzer's idea that the Grey Hoek and Wijde Bay formations are of equal age is certainly not true along Wijdefjorden, where one lies on top of the other with a depositional boundary; upper parts of the Grey Hoek Formation in the Woodfjorden area may be coeval with the Wijde Bay Formation farther east (Blomeier et al. 2003a, b; W. Dallmann, pers. comm. 2007).
Data for: Speciation in kleptoparasites of oak gall wasps often correlates with shifts into new tree habitats, tree organs, or gall morphospace
<p><span>Host shifts to new plants can drive speciation for plant-feeding insects, but how commonly do host shifts also drive diversification for the parasites of those same insects? Oak gall wasps induce galls on oak trees, and shifts to novel tree hosts and new tree organs have been implicated as drivers of oak gall wasp speciation. Gall wasps are themselves attacked by many insect parasites, which must find their hosts on the correct tree species and organ, but which also must navigate the morphologically variable galls with which they interact. Thus, we ask whether host shifts to new trees, organs, or gall morphologies correlate with gall parasite diversification. We delimit species and infer phylogenies for two genera of gall kleptoparasites, <em>Synergus</em> and <em>Ceroptres</em>, reared from a variety of North American oak galls. We find that most species were reared from galls induced by just one gall wasp species, and no parasite species was reared from galls of more than four species. Most kleptoparasite divergence events correlate with shifts to non-ancestral galls. These shifts often involved changes in tree habitat, gall location, and gall morphology. Host shifts are thus implicated in driving diversification for both oak gall wasps and their kleptoparasitic associates.</span></p>
Fig. 4. Schematic diagram showing stratigraphic correlations between trenches. Layers I in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert
Fig. 4. Schematic diagram showing stratigraphic correlations between trenches. Layers I–III are labelled in bold. Identifiable cultural horizons (units 1a, 2a and 2c) are shown (stippled), as well as dated hearths (plano-convex features), 14C determinations (hatched rectangles), luminescence dates (open rectangles) and the maximum depth of late Holocene artefacts in each trench (T tula adzes; B backed artefacts/geometric microliths). Grid lines show depth (cm) below site datum. Horizontal stippled lines at 120 cm depth in N5/ N6 and in the Main Trench show the position of a silty band identified in grain-size analyses.
IODP Expedition 383 Stratigraphic Correlation
Affine and splice files created for stratigraphic correlation.
Ecological and Morphological Correlates of Acuity in Birds
<p><span>Birds use their visual systems for a variety of important tasks, such as foraging and predator detection, that require them to resolve an image. However, visual acuity (the ability to perceive spatial detail) varies by two orders of magnitude across birds. Prior studies indicate that eye size and aspects of a species' ecology may drive variation in acuity, but these studies have been restricted to small numbers of species. We used a literature review to gather data on acuity measured either behaviorally or anatomically for 94 species from 38 families. We then examined how acuity varies in relation to (1) eye size, (2) habitat spatial complexity, (3) habitat light level, (4) diet composition, (5) prey mobility, and (6) foraging mode. A phylogenetically-controlled model including all of the above factors as predictors indicated that eye size, habitat spatial complexity, light level, and diet composition are significant predictors of acuity. Examining each ecological variable in turn revealed that acuity is lower in species that inhabit spatially complex, vegetative habitats, and higher in species whose diet comprises vertebrates or scavenged food. Together, our results suggest that the need to detect important objects from far away—such as predators for species that live in open habitats, and food items for species that forage on vertebrate and scavenged prey—has likely been a key driver of higher acuity in some species, helping to elucidate how visual capabilities may be adapted to an animal's visual needs. </span></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.