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4,563 results for “correlations”
Data from: Neural correlates of individual differences in circadian behavior
Daily rhythms in mammals are controlled by the circadian system, which is a collection of biological clocks regulated by a central pacemaker within the suprachiasmatic nucleus (SCN) of the anterior hypothalamus. Changes in SCN function have pronounced consequences for behaviour and physiology; however, few studies have examined whether individual differences in circadian behaviour reflect changes in SCN function. Here, PERIOD2::LUCIFERASE mice were exposed to a behavioural assay to characterize individual differences in baseline entrainment, rate of re-entrainment and free-running rhythms. SCN slices were then collected for ex vivo bioluminescence imaging to gain insight into how the properties of the SCN clock influence individual differences in behavioural rhythms. First, individual differences in the timing of locomotor activity rhythms were positively correlated with the timing of SCN rhythms. Second, slower adjustment during simulated jetlag was associated with a larger degree of phase heterogeneity among SCN neurons. Collectively, these findings highlight the role of the SCN network in determining individual differences in circadian behaviour. Furthermore, these results reveal novel ways that the network organization of the SCN influences plasticity at the behavioural level, and lend insight into potential interventions designed to modulate the rate of resynchronization during transmeridian travel and shift work..
Data from: Song complexity - no correlation between standard deviation of frequency and traditionally used song complexity metrics in passerines: a comment on Pearse et al. (2018)
[No abstract entered]
Environmental and seasonal correlates of capercaillie movement traits in a Swedish wind farm
<p>Animals continuously interact with their environment through behavioural decisions, rendering the appropriate choice of movement speed and directionality an important phenotypic trait. Anthropogenic activities may alter animal behaviour, including movement. A detailed understanding of movement decisions is therefore of great relevance for science and conservation alike. The study of movement decisions in relation to environmental and seasonal cues requires continuous observation of movement behaviour, recently made possible by high-resolution telemetry. We studied movement traits of 13 capercaillie (Tetrao urogallus), a mainly ground-moving forest bird species of conservation interest, over two summer seasons in a Swedish windfarm using high-resolution GPS tracking data (5-minute sampling interval). We filtered and removed unreliable movement steps using accelerometer data and step characteristics. We explored variation in movement speed and directionality in relation to environmental and seasonal covariates using Generalized Additive Mixed Models (GAMMs). We found evidence for clear daily and seasonal variation in speed and directionality of movement that reflected behavioural adjustments to biological and environmental seasonality. Capercaillie moved slower when more turbines were visible and faster close to turbine access roads. Movement speed and directionality were highest on open bogs, lowest on recent clear-cuts (<5 y.o.) and intermediate in all types of forest. Our results provide novel insights into the seasonal and environmental correlates of capercaillie movement patterns and supplement previous behavioural observations on lekking behaviour and wind turbine avoidance with a more mechanistic understanding.</p>
Data to accompany dissertation: Geographic, Cultural, and Ecological Correlations with Indigenous Language Vitality in North America
<p>Text files:</p> <ul> <li>readme_general.txt contains a brief description of files included.</li> <li>readme_modeldata.txt contains a metadata description of model_data.csv.</li> <li>readme_languageslandNorthAmerica.txt contains a metadata description of Languages_land_NorthAmerica.csv.</li> <li>readme_languagerevitalizationdatabase.txt contains a metadata description of Language_revitalization_database.csv.</li> </ul> <p>CSV files:</p> <ul> <li>Languages_land_NorthAmerica.csv is a version of the Languages of Government-Recognized Native Land Areas in the Continental United States database. It includes data from the US Census 2017 TIGER/Line AIANNH shapefile with one row per Native land area and additional columns for associated information that was coded and calculated for this dissertation as discussed in Section 3.3.1.</li> <li>Language_revitalization_database.csv is the Language Revitalization Database. It contains the master language list used for this dissertation and columns created while coding data for the language revitalization variable, as discussed in Section 3.3.2.</li> <li>model_data.csv contains data for all variables used in the analysis and is the .csv file needed to run LanguageVitalityModels.R.</li> </ul> <p>R scripts:</p> <ul> <li>LanguageVitalityModels.R is the R script for the main part of the dissertation analysis.</li> </ul>
Data from: Correlated variability in primate superior colliculus depends on functional class
<p><span>Information read-out from populations of neurons depends strongly on the correlated variability within a population, termed r<sub>SC </sub>(spike count correlations). Traditionally, r<sub>SC</sub> is reported as a single value for a population of neurons comprising a brain area. However, single values, like summary statistics, can obscure underlying features of the constituent elements. We predict that in brain areas consisting of distinct subpopulations of neurons, different subpopulations will exhibit distinct levels of r<sub>SC</sub> not captured by the population r<sub>SC</sub>. We tested this idea by recording from neurons in macaque superior colliculus (SC), a structure that contains several subpopulations (or classes) of neurons based on function. We found that during guided saccade tasks, different classes of neurons exhibited differing degrees of r<sub>SC</sub>, which could not be attributed to variations in behavior. Neurons belonging to the "Delay" class displayed a particularly high r<sub>SC</sub>, especially during the delay epoch of tasks that relied on visual working memory. Our finding that r<sub>SC</sub> depends on functional class, as well as the type of task, demonstrate the importance of taking functional subpopulations into account when attempting to model or infer population coding principles in primate SC, or other areas of the brain that contain subpopulations supporting specific functions.</span></p>
The Pearson correlation coefficient matrix for all study items (N = 507)
<p>The Pearson correlation coefficient matrix for all study items (N = 507)</p>
Zinc kinetics correlate with length-for-age z scores in Bangladeshi infants
<p>A comparison of zinc kinetics in infants </p>
Text-fig. 17. Biostratigraphic correlations of Moghara, Egypt, and Gebel Zelten, Libya, with inferred age ranges in millions of years. ELMA – European Land Mammal Age (MN – Mammal Neogene Zone) (Mein 1989), FS – East African Faunal Set (Pickford 1981). The double-headed arrow is the range of ages obtained by Strontium isotope dating analyses (Hassan et al. 2013). in New Suoid Fossils (Mammalia, Artiodactyla) From The Miocene Of Moghara, Egypt, And Gebel Zelten, Libya: Biochronological Implications
Text-fig. 17. Biostratigraphic correlations of Moghara, Egypt, and Gebel Zelten, Libya, with inferred age ranges in millions of years. ELMA – European Land Mammal Age (MN – Mammal Neogene Zone) (Mein 1989), FS – East African Faunal Set (Pickford 1981). The double-headed arrow is the range of ages obtained by Strontium isotope dating analyses (Hassan et al. 2013).
Figure 5 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 5 - Relative abundance distribution of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two localities for each trophic guild on the basis of Illumina data B compares the two localities for each trophic guild on the basis of cultivation data.
Figure 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 4 - Relative abundance of fungal leaf-inhabiting endophytes of beech among the five main trophic guilds as revealed by analysis with FUNGuild (Nguyen et al. 2016). A compares the two methods for each trophic guild and unassigned data. B displays the trophic guilds and unassigned taxa for Illumina data, C for cultivation data. Abbreviations in [B and C]: U = Unassigned, P = Pathotrophs, PSa = Patho-Saprotrophs, PSy = Patho-Symbiotrophs, Sa = Saprotrophs, Sy = Symbiotrophs
Figure 2 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 2 - . Principal coordinate analysis (PCoA) of fungal leaf-inhabiting endophytes of beech display strongly differing assemblages obtained with Illumina sequencing and cultivation. Both methods revealed differing mycobiomes from valley and from mountain leaves, although these differences were less pronounced for cultivation data. Abbreviations: IM = Illumina data from mountain samples, IV = Illumina data from valley samples, CM = cultivation data from mountain samples, CV = cultivation data from valley samples
Figure 3 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 3 - Abundance distribution of the 20 most abundant orders of fungal leaf-inhabiting endophytes of beech on a logarithmic scale. Three of the five most abundant orders from high-throughput sequencing were also most abundant in cultivation data.
Figure 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Figure 1 - Diversity indexes and accumulation curves for a Illumina and b cultivation data of fungal leaf-inhabiting endophytes of beech. Except of the accumulation curves of cultivation data, both methods revealed a clear and partly significant trend of higher fungal diversity at the valley site.
Data for "Quantum algorithm for the variational optimization of correlated electronic states with the linear method"
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dataset for Spatial Distribution of Wildlife on University Campuses and Its Correlations with Environmental Factors: A Multi-Source Data Analysis
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Continuous Protein-Density gradients: A new approach to correlate physical cues with cell response
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Data and code for "SARS-CoV-2 correlates of protection from infection against variants of concern"
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Investigating the correlation between eye movement characteristics and shooting accuracy of basketball players during 2-Point shots at various exercise intensities
<p><span><span>调查<span>相关性</span></span><a name="_Hlk164072066"></a><a name="_Hlk164076538"></a><span><span>篮球运动员在不同运动强度下两分<span>球投篮</span>时的眼球运动特征和投篮命中率</span><a name="_Hlk168497143"></a><a name="_Hlk168497189"></a><a name="_Hlk168325924"></a><a name="_Hlk168497204"></a></span></span></p>
FIGURE 2 in Neogene and early Pleistocene flora from Alaska, USA and Arctic/Subarctic Canada: New data, intercontinental comparisons and correlations
FIGURE 2. Detailed site location maps of sites from interior Alaska and the Yukon. Numbers beside sites refer to site codes used in Appendix 1 and throughout this paper.
FIGURE 4 in Neogene and early Pleistocene flora from Alaska, USA and Arctic/Subarctic Canada: New data, intercontinental comparisons and correlations
FIGURE 4. Detailed site location maps of sites from the western islands of the Canadian Arctic Archipelago, Canada. Shaded area on map at left indicates the region covered in the map at the right (note rotation). Numbers beside sites refer to site codes used in Appendices and throughout this paper. Un-numbered circles represent Neogene to Early Quaternary sites from which plant and/or arthropod fossils have been isolated.
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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.