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199 results for “correlation analysis”
Fig. 4 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 4. Uncitedness rate of articles published in the Brazilian journals in Sample 2.
Fig. 1 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 1. Brazilian journals and their corresponding self-cited rates between 2006 and 2011.
Fig. 2 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 2. Brazilian journals and their corresponding self-citing rates between 2006 and 2011.
Inhomogeneous magnetization of Tyrrhenian seamounts revealed from gravity and magnetic correlation analysis
<p>The xyz files provide the gravity and magnetic total gradients data of the Magnaghi, Palinuro, Vavilov and Marsili seamounts in the Tyrrhenian Sea (Italy). </p>
Time-slide correlation analysis of post-merger Extended Emission to GW170817
<p>Nico van Kampen Colloquium, ITP, Utrecht (October 23 2019, https://zenodo.org/record/3528005) - Movie clip. Shown is the result of $\chi$-image analysis of merged (H1,L1)-spectrograms produced in time-slide correlation analysis of H1-L1 data of GW170817. Time-sliding over -32s $\le \Delta t \le 32$s, including one-sample steps around the zero-crossing $\Delta t = 0$, reveals clustering of $\chi$-peak values representing a correlated (H1,L1)-detector response to a gravitational-wave signal.</p>
Data for: Phylogenetically controlled life history trait meta-analysis in cetaceans reveals unexpected negative brain size and longevity correlation
<p>The identification of patterns in trait evolution is essential to understand the interaction of evolutionary forces, and provides useful information for species management. Cetaceans are a phylogenetically well-resolved infraorder that exhibit distinct trait variation across behavioural, molecular and life history dimensions, yet few researchers have applied a meta-analytic or comparative approach to these traits. To understand cetacean trait evolution, we used a phylogenetic generalised least squares approach to examine the cognitive buffer hypothesis (CBH). A large brain should buffer individuals against environmental challenges through increasing survival rates, and a longer lifespan should buffer individuals against the cost of extended development for larger brains according to the CBH, leading to an expected positive correlation between brain size and lifespan. In contrast to this expectation, previously observed in taxa including primates, we found a negative correlation between brain size and lifespan in cetaceans. This suggests cetaceans experience selective pressures different from most other mammals in these traits but may be more similar to some social mammalian carnivores that display alloparenting. We also provide a comprehensive dataset to explore additional aspects of trait evolution but which would greatly benefit from studies on behavioural ecology across cetaceans and increased focus on data-deficient species. </p>
Spreadsheet working analysis (uncleaned): correlation of global warming with Gross World Product (PPP) for 1850–2021
<p>This workbook has not been peer-reviewed. Do not cite. Use with caution.</p> <p>For analysis charts see the sheet entitled <em>CHARTS GDP totals and CO2.</em></p> <p><strong>Source data:</strong></p> <p>Gross world product data from:<br> Bolt, J., van Zanden, J.L., 2020. Maddison Project Database 2020 [WWW Document]. Univ. Gron. URL https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020 (accessed 11.22.22).</p> <p>Global CO2 data from:<br> CDIAC, 2017. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center.<br> Friedlingstein, P., O’Sullivan, M., Jones, M.W., Andrew, R.M., Gregor, L., Hauck, J., Le Quéré, C., Luijkx, I.T., Olsen, A., Peters, G.P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J.G., Ciais, P., Jackson, R.B., Alin, S.R., Alkama, R., Arneth, A., Arora, V.K., Bates, N.R., Becker, M., Bellouin, N., Bittig, H.C., Bopp, L., Chevallier, F., Chini, L.P., Cronin, M., Evans, W., Falk, S., Feely, R.A., Gasser, T., Gehlen, M., Gkritzalis, T., Gloege, L., Grassi, G., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Houghton, R.A., Hurtt, G.C., Iida, Y., Ilyina, T., Jain, A.K., Jersild, A., Kadono, K., Kato, E., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J.I., Landschützer, P., Lefèvre, N., Lindsay, K., Liu, J., Liu, Z., Marland, G., Mayot, N., McGrath, M.J., Metzl, N., Monacci, N.M., Munro, D.R., Nakaoka, S.-I., Niwa, Y., O’Brien, K., Ono, T., Palmer, P.I., Pan, N., Pierrot, D., Pocock, K., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Rodriguez, C., Rosan, T.M., Schwinger, J., Séférian, R., Shutler, J.D., Skjelvan, I., Steinhoff, T., Sun, Q., Sutton, A.J., Sweeney, C., Takao, S., Tanhua, T., Tans, P.P., Tian, X., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G.R., Walker, A.P., Wanninkhof, R., Whitehead, C., Willstrand Wranne, A., Wright, R., Yuan, W., Yue, C., Yue, X., Zaehle, S., Zeng, J., Zheng, B., 2022. Global Carbon Budget 2022. Earth Syst. Sci. Data 14, 4811–4900. https://doi.org/10.5194/essd-14-4811-2022</p>
Correlation between body size and longevity: new analysis and data covering six taxonomic classes of vertebrates
<p class="MsoNormal"><span>Large bodied species are known to live longer than small bodied species. However, it is less clear whether the positive correlation varies across taxa. In this short communication, we combine data entries from literature and databases on body mass and maximum life span for 3722 species covering </span><span>taxonomic Classes <span><em><span>Chondrichthyes</span></em><span>, <em>Teleostei, Amphibia</em>, <em>Reptilia, Aves</em><span>, and</span><em> Mammalia</em>.</span> </span>We then analyze the log(maximum life span) – log(body mass) relationship using generalized linear model with nested random intercepts and slopes for Class/Order/Family. Our analyses generally demonstrate the positive longevity – body mass relationship but also reveal that slopes and intercepts differ slightly among all Classes except <em>Reptilia</em> and <em>Amphibia</em>. Highest slopes can be found in Classes <em>Aves</em> and <em>Chondrichthyes</em>. Differences between the smallest and largest Family-level slopes was more than threefold. While these preliminary analyses provide a brief overview of body size – longevity relationships across taxa, the dataset collated in the present study could serve as a start point for in-depth phylogenetic analyses to uncover complex pathways through which body size and its correlates might have evolved. </span></p>
Data from: Comparative analysis of the shape and size of the middle ear cavity of turtles reveals no correlation with habitat ecology
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Data for: Phylogenetically controlled life history trait meta-analysis in cetaceans reveals unexpected negative brain size and longevity correlation
Open the record for dataset details and reuse information.
Correlation between body size and longevity: new analysis and data covering six taxonomic classes of vertebrates
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Fig. 5. Correlation between the fibers diameters and body weight from 300 in Morphological and morphometric analysis of skeletal muscle between male and female young adult Colossoma macropomum (Characiformes: Serrasalmidae)
Fig. 5. Correlation between the fibers diameters and body weight from 300 days old Colossoma macropomum. The fibers diameters are showed by class: circle (<20 µm), triangle (20 to 50 µm) and square (>50 µm).
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>
FIGURE 6 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 6. Canonical Discriminant Analysis (CDA) plots for males and females together, including Georgian specimens. Specimens, sample centroids and group perimeters are represented. For details, percentage of variance explained, and other data, see text.
FIGURE 3 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 3. UPGMA trees (males) derived from Mahalanobis' distances among sample centroids. See text for interpretation.
FIGURE 8 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 8. Box Plots of dorsalia values in different populations of the D, clarkorum/dryada studied (numbers of samples as in Material and Methods): 1) Sümela, 2) Çataldere, 3) Hemşin, 4) Ayder, 5) Hatila Plateau, 6) Ortacalar 7) Subaşı & Yoldere (Turkish "dryada"), 8) Cankurtaran Pass, 9) Karagöl, 10) Charnaly River Gorge (Georgian D. dryada). The center is the median, the length of the rectangle is the interquartile range (from the 25th to the 75th percentile) and represents the central 50% of data. Line is the spread from minimum to maximum values. Green point is a severe outlier.
FIGURE 2 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 2. Canonical Discriminant Analysis (CDA) plots for males. Specimens, sample centroids and group perimeters are represented. For details, percentage of variance explained, and other data, see text.
FIGURE 5 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 5. UPGMA trees (females) derived from Mahalanobis' distances among sample centroids. See text for interpretation.
FIGURE 1. Map showing the localities from where specimens have been studied. 1 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 1. Map showing the localities from where specimens have been studied. 1. Sümela, Maçka, Trabzon, northeastern Anatolia, Turkey, 2. Çataldere, Kaptanpaşa, Rize, northeastern Anatolia, Turkey, 3. 11 km southwest of Hemşin, Rize, northeastern Anatolia, Turkey, 4. Ayder Plateau, Çamlıhemşin, Rize, northeastern Anatolia, Turkey, 5. Hatila Plateau, Artvin, northeastern Anatolia, Turkey, 6. 16 km northeast of Ortacalar, Arhavi, Artvin, northeastern Anatolia, Turkey, 7. Subaşı Village, Hopa, Artvin, northeastern Anatolia, Turkey, 8. Cankurtaran, Hopa, Artvin, northeastern Anatolia, Turkey, 9. Karagöl, Borçka, Artvin, northeastern Anatolia, Turkey, 10. Charnaly, Georgia
FIGURE 4 in Multivariate analysis of geographic variation in Darevskia clarkorum (Darevsky & Vedmederja, 1977), correlation with geographic and climatic parameters, and true status of Darevskia dryada (Darevsky & Tuniyev, 1997)
FIGURE 4. Canonical Discriminant Analysis (CDA) plots for females. Specimens, sample centroids and group perimeters are represented. For details, percentage of variance explained, and other data, see text.
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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.