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Table 5: Overall correlation between test anxiety and test performance
<p>The second research question in this study addressed the relationship between test-taking<br> anxiety and learners' performance on the general English test. To investigate the relationship, the<br> Pearson product-moment correction was employed. First, the correction between total anxiety and<br> test performance was calculated. As shown in Table 5, the index was -.011.</p> <p> </p>
Raster Image Correlation Spectroscopy and Brightness Measurements of AtLEA proteins from Arabidopsis thaliana
<p>Temporal sequences of various fluorescent leaves were captured using a confocal scanning microscope (Olympus FV1000 inverted microscope), equipped with a 1.3 NA oil immersion 60X objective and the photon counting detection mode. Utilizing a 488 nm laser at 0.1% power and GFP filters/cubes, each temporal sequence involved the acquisition of 100 frames of 64x64 pixels, with a dwell time of 10 μs (1.76 ms per line, 130.24 ms per frame) and a pixel size of 66 nm (50X digital zoom). The interval between frames was set at 131.6 ms.</p> <p>Five plants were analyzed, each expressing one of four distinct genetic constructs fused to complementary fragments of Yellow Fluorescent Protein: pYFN-4-/5pYFC-4-5 (representing the complete AtLEA4-5 protein), pYFN-4-51-77/pYFC-4-51-77 (associated with the N-terminal region of AtLEA4-5), pYFN-4-578-158/pYFC-4-578-158 (relating to the C-terminal region of AtLEA4-5), and pYFN-pYFC (serving as the control). The raw data (*.oib files) were collected during three imaging sessions within a one-week period:</p> <p>- 220618 raw oib dataset.zip</p> <p>- 220622 raw oib dataset.zip</p> <p>- 220623 raw oib dataset.zip</p> <p>Images were converted to *.tif format using FIJI/ImageJ for further analysis and were archived in "tif dataset RICS NB LEAs.zip," excluding files with excessive movement of biological specimens. These images were then subjected to "Raster Image Correlation Spectroscopy" and "Number and Brightness" techniques for analysis.</p> <p>Notation:</p> <p>- h1, h2, h3, h4, h5: Replicates (plants) expressing one of four specific genetic constructs fused to complementary fragments of Yellow Fluorescent Protein.</p> <p>- 45: Fused to the full-length AtLEA4-5 protein (pYFN-4-/5pYFC-4-5).</p> <p>- 4h: Fused to the N-terminal region of AtLEA4-5 (pYFN-4-51-77/pYFC-4-51-77).</p> <p>- rc: Fused to the C-terminal region of AtLEA4-5 (pYFN-4-578-158/pYFC-4-578-158).</p> <p>- ct: The control condition (pYFN-pYFC).</p>
Рис. 5. АналиЗ линейной коррелЯции параметров макробентоса от доминируюЩей фракции в пробе грунта (А, Б) и глубины (В, Г). Fig. 5. Analysis of the linear correlation of macrobenthos parameters with the dominant fraction in the bottom sample (А, Б) and depth (В, Г). in Species composition and distribution of bivalve mollusks in plankton and benthos in Nevelsky Strait in summer
Рис. 5. АналиЗ линейной коррелЯции параметров макробентоса от доминируюЩей фракции в пробе грунта (А, Б) и глубины (В, Г). Fig. 5. Analysis of the linear correlation of macrobenthos parameters with the dominant fraction in the bottom sample (А, Б) and depth (В, Г).
Correlated evolution of oxidative physiology and MHC-based immunosurveillance in birds
<p>Maintenance and activation of the immune system incurs costs, not only in terms of substrates and energy, but also via collateral oxidative damage to host cells or tissues during immune response. So far, associations between immune function and oxidative damage have been primarily investigated at intra-specific scales. Here, we hypothesized that pathogen-driven selection should favour evolution of effective immunosurveillance mechanisms (e.g. Major Histocompatibility Complex, MHC) and antioxidant defences to mitigate oxidative damage resulting from immune function. Using phylogenetically-informed comparative approaches, we provided evidence for correlated evolution of host oxidative physiology and MHC-based immunosurveillance in birds. Species selected for more robust MHC-based immunosurveillance (higher gene copy numbers and allele diversity) showed stronger antioxidant defences, although selection for MHC diversity still showed a positive evolutionary association with oxidative damage to lipids. Our results indicate that historical pathogen-driven selection for highly duplicated and diverse MHC could have promoted the evolution of efficient antioxidant mechanisms, but these evolutionary solutions may be insufficient to keep oxidative stress at bounds. Although the precise nature of mechanistic links between the MHC and oxidative stress remains unclear, our study suggests that a general evolutionary investment in immune function may require co-adaptations at the level of host oxidative metabolism.</p>
Green Function Database in ak135 for synthetic cross-correlation computation in WMSAN.
<p>## Description<br>This file is an HDF5 file containing synthetic seismic waveforms computed with AxiSEM in an axisymmetric Earth in model ak135f.<br>It contains waveforms at various distances for a vertical point force source of 1E20 N.</p> <p>## Parameters</p> <p>Distance range from 0° to 180° with a 0.1° step.<br>Source location latitude = 90°, longitude = 0°.<br>Sampling frequency 1Hz. <br>Duration 3600s.<br>Dominant period 1s.<br><br>## Architecture<br>Network "L" </p> <p>Station "SYNTH0000" : station at distance = 0° from the source location.</p> <pre>|-- <a href="../records/11126562" target="_blank" rel="noopener">NOISE_vertforce_dirac_0-ak135f_1.s_3600s.h5</a>/ │ └── L/ │ └── SYNTH0000/<br>│ └── ...<br>│ └── SYNTH1800/<br>│ └── _metadata/</pre> <p> </p>
IODP Expedition 379 Stratigraphic Correlation
Affine and splice files created for stratigraphic correlation.
Correlative microscopy of rat cultured hippocampal pyramidal cell from 40x confocal imaging to super-resolution 93x 3D STED of dendritic spines
<p>This dataset contain multi-scale image of rat hippocampal pyramidal cell related to our paper "<em>From tissues to segmentation: a modular framework for multi-scale neuron isolation</em>" by Cauzzo et al. <strong>Nature Comm (2024).</strong></p>
IODP Expedition 371 Stratigraphic Correlation
Affine and splice files created for stratigraphic correlation.
IODP Expedition 360 Stratigraphic Correlation
Affine and splice files created for stratigraphic correlation.
Macroecological correlates of Darwinian shortfalls across terrestrial vertebrates
<p>Most described species have not been explicitly included in phylogenetic trees—a problem named the Darwinian shortfall—due to a lack of molecular and/or morphological data, thus hampering the explicit incorporation of evolution into large-scale biodiversity analyses. We investigate potential drivers of the Darwinian shortfall in tetrapods, a group where at least one-third of described species still lack phylogenetic data, thus necessitating the imputation of their evolutionary relationships in fully-sampled phylogenies. We show that the number of preserved specimens in scientific collections is the main driver of phylogenetic knowledge accumulation, highlighting the major role of biological collections in unveiling novel biodiversity data and the importance of continued sampling efforts to reduce knowledge gaps. Additionally, large-bodied and wide-ranged species, as well as terrestrial and aquatic amphibians and reptiles, are phylogenetically better known. Therefore, future efforts should prioritize phylogenetic research on organisms that are narrow-ranged, small-bodied, and underrepresented in scientific collections, such as fossorial species. Addressing the Darwinian shortfall will be imperative for advancing our understanding of evolutionary drivers shaping biodiversity patterns and implementing comprehensive conservation strategies.</p>
Fig. 2 in New protoceratopsid specimens improve the age correlation of the Upper Cretaceous Gobi Desert strata
Fig. 2. Ceratopsian dinosaur Protoceratops andrewsi Granger and Gregory, 1923 (MPC-D 100/505), from the Late Cretaceous, Zamyn Khond, Ömnögovi, Mongolia. Skull in right (A1) and left (A2) lateral views.
Fig. 7 in New protoceratopsid specimens improve the age correlation of the Upper Cretaceous Gobi Desert strata
Fig. 7. Hypothesized chronology of the Late Cretaceous Gobi Desert strata with a schematic representation of the accumulation of apomorphic Bagaceratops-phenotype features in the Protoceratops andrewsi–Bagaceratops rozhdestvenskyi lineage recorded in each of localities.
Fig. 5 in New protoceratopsid specimens improve the age correlation of the Upper Cretaceous Gobi Desert strata
Fig. 5. Ceratopsian dinosaur cf. Bagaceratops sp. (MPC-D 100/551B, field number 000719 US FJMBaga), from the Late Cretaceous, Üüden Sair, Ömnögovi, Mongolia. Skull in left lateral (A1, A2), dorsal (A3, A4), and right lateral (A5, A6) views. Slab with the skeleton in left laterodorsal view (A7). Abbreviations: l, left; r, right.
Fig. 6 in New protoceratopsid specimens improve the age correlation of the Upper Cretaceous Gobi Desert strata
Fig. 6. Distribution of the apomorphic features within the protoceratopsid material from different Late Cretaceous localities of the Gobi Desert. A. Ratio of maxillary diastema to tooth row length (after Czepiński 2019). B. Long diastema (>35% of tooth row). C. Fused nasal horn. D. No premaxillary dentition. E. Accessory antorbital fenestra. F. Sharp buccal crest of dentary. Note: A, number of specimens for each sample, with sympatric taxa separated by a comma (Bagaceratops rozhdestvenskyi, Breviceratops kozlowskii in Khulsan, and B. rozhdestvenskyi, Protoceratops hellenikorhinus in Bayan Mandahu); B–F, number of specimens showing the apomorphic features (grey-shaded area) and the total number of specimens in which the condition state can be recognized. Detailed information in SOM.
Fig. 3 in New protoceratopsid specimens improve the age correlation of the Upper Cretaceous Gobi Desert strata
Fig. 3. Ceratopsian dinosaur Protoceratops andrewsi Granger and Gregory, 1923 (MPC-D 100/551), from the Late Cretaceous, Üüden Sair, Ömnögovi, Mongolia. Skull in left lateral (A1, A2), dorsal (A3, A4), and right lateral (A5, A6) views. Slab with the skeleton in left laterodorsal view (A7). Abbreviations:, left; r, right.
IODP Expedition 397 Stratigraphic Correlation
Affine and splice files created for stratigraphic correlation.
Supplementary Data for 'Crossing host boundaries: the evolutionary drivers and correlates of viral host jumps'
<p>This version provides the raw maximum likelihood trees with ancestral host states annotated, as described in Tan et al. 2024 (https://doi.org/10.1038/s41559-024-02353-4). </p> <p> </p> <p>Tip labels are formatted as {genbank accession}|{host}|{collection_date}|{country}.</p> <p>Nodel labels are formatted as follows:</p> <ul> <li>rooted_trees_simplified: {node name}|{host}, where {host} is the most likely ancestral state (i.e., highest ancestral state likelihood)</li> </ul> <ul> <li>rooted_trees: {node name}|{host1}:{likelihood1}|{host2}:{likelihood2}...|{hostn}:{likelihoodn}, which provides the raw ancestral state likelihoods for each host state. </li> <li>All node names correspond to those provided in the Supplementary Tables in Tan et al. 2024.</li> </ul> <p> </p> <p> </p>
Drag, lift, and torque correlations for axi-symmetric rod-like non-spherical particles in linear wall-bounded shear flow
<p><strong>Data linked to the manuscript: </strong><br><em>Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow</em></p> <p><strong>Authors:</strong><br>Victor Cheron, Berend van Wachem</p> <p>Corresponding author:<br>Berend.van.Wachem@gmail.com</p> <p><strong>Files</strong><br>Temporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.<br>Python scripts used to plot the correlations are stored in the folder PythonScript.<br>Two simulation results are provided in the folder SimulationResults.</p> <p><strong>Results and Coefficients</strong></p> <p>The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.<br>The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:<br><em>Uniform-Torque-Angles-Size2-5.txt</em></p> <p>The results obtained for the lift coefficient of the particle of aspect <br>ratio 10 for a shear rate 0.2 configuration are given in the file:<br><em>Shear02-Lift-Angles-Size10.txt</em></p> <p>In the files, the results are ordered per orientation angle and particle Reynolds number. </p> <p><strong>PythonScripts</strong></p> <p>The python scripts are split among three files:<br>- Getter.py: this script reads the .txt files storing the coefficients.<br>- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.<br>- generalmain.py : calls the functions</p> <p>The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. <br>This will return a 1D column vector ordering the variables used to derive the<br>correlations:<br>- Coefficients<br>- Reynolds number<br>- Orientation Angle<br>- Dimensionless distance to the wall<br>- Aspect ratio</p> <p><strong>Simulation Results</strong></p> <p>A simulation result is provided:<br>- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150,<br> dimensionless distance 1.</p> <p>The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files.</p> <p>A .xmf reader is provided to read the simulation results in Paraview.</p> <p>Data for one converged simulation time are provided due to storage limits.</p> <p> </p> <p><strong>Acknowledgments</strong><br>This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287.</p>
Fig. 3. Correlation coefficients estimated between water quality indicators and morphological Fig. 4 in Investigation Of Common Reed Regrowth On The Shores Of Recreational Lakes
Fig. 3. Correlation coefficients estimated between water quality indicators and morphological Fig. 4. The number of holidaymakers near parameters of common reeds on the shores of Bridvaisis, Gaustvinis and Gilius lakes (in the Bridvaisis, Gaustvinis and Gilius Lakes. The order from the bottom to the top) and differences boundary of the continuous line side indicates in morphological parameters of plants after the cases where p <0.01; dashed lines, where p <0.05. holidaymakers' visits.
Fig.11 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.11. Ranking of meteorological factors by the quantity of significant positive or negative correlations with the number of sun-basking Emys orbicularis in the interval 8d"Nsbd"21.
ScienceDex guides
Understand access before you commit
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.