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Linear measurements of Aterian tanged stone artifacts from North African collections
<p>Linear measurements collected from Aterian tanged tools from various museum collections in Morocco and France. Edge lengths were computed using photographs of the artifacts and ImageJ. </p>
Crystal structures and hkl data associated with paper 'Metal-free negative linear compressibility (NLC) material - the cocrystal of 1,2-bis(4-pyridyl)ethane and fumaric acid'
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SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment
SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable.
Fig. 7 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 7. Simulated and observed values of Borges et al.'s (Borges et al. 2019) δ values for simulated trait distributions on the tree in Fig. 1 for sets of traits (A, m1: m2 length; B, M1: M2 length; C, M2: M3 length) that show phylogenetic signal (red triangles) and phylogenetic retention (gray circles).
Fig. 2 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 2. Illustration of measurements taken on lower (m1–m3, A–C) and upper (M1–M3, D–F) teeth in occlusal views to calculate potentially diagnostic traits. Measurements are illustrated on specimen UMZC H5101A, Procavia capensis. Abbreviations: LE, length; MW, width of the crown at metaloph; PW width of the crown at paraloph.
Fig. 6 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 6. Overlap in potentially diagnostic trait values for upper molar loci of three example hyracoid taxa (A1, B1, Procavia capensis; A2, B2, Saghatherium bowni; A3, B3, Thyrohyrax meyeri). A. Length vs. proportional frequency, showing how a single trait, length, would be modeled in a univariate discriminant analysis using observed means and variances. Colored sections of the distributions show length values that are within 95% confidence intervals of the means of more than one tooth locus, indicating regions of ambiguous lengths. B. Length vs. relative width, showing scatter plots overlaid on 2D density diagrams showing the distribution of values for individual teeth.
Fig. 8 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 8. Overlap in potentially diagnostic trait values for a case study of isolated molars of Meroehyrax kyongoi. In contrast to Fig. 4, molar locus identifications are based on occupation of space in this scatterplot. Question marks are overlaid over two specimens whose inferred tooth position conflicts with published diagnoses. In parentheses original identification in publication.
Fig. 1 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 1. Phylogenetic tree and tooth size distribution in hyracoids (topology from Cooper et al. 2014). Taxa are time-scaled along the x-axis of the tree to reflect fossil occurrences based on the literature, with branches rescaled between these tip dates and a root age estimated at 70.1 million years. Taxa in bold text were included in analyses. Minimum monophyletic clade including taxa in bold indicates the range of the phylogenetic bracket applied for both length and width measures (base of clade indicated by black star). Minimum monophyletic clade for length measures from the literature is indicated by a white star at the base of the clade. Shapes to the right of tips indicate whether there is a significant fit with a model of ascending (increasing) tooth size down the molar row. Abbreviations: M, upper molars; m, lower molars.
Fig. 3 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 3. Distribution of values for a set of univariate, potentially locus-diagnostic traits (A, length vs. m1 length; B, trigonid width vs. talonic width) described in Fig. 2 in lower molars of a range of hyracoid species.
Fig. 5 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 5. Distribution of values for a set of univariate, potentially locus-diagnostic traits (A, length vs. M1 length; B, paraloph vs. metaloph; C, metaloph vs. length; D, paraloph vs. length) described in Fig. 2 in upper molars of a range of hyracoid species.
Fig. 4 in Evaluating the utility of linear measurements to identify isolated tooth loci of extinct Hyracoidea
Fig. 4. Overlap in potentially diagnostic trait values for lower molar loci of three example hyracoid taxa (A1, B1, Procavia capensis; A2, B2, Saghatherium bowni; A3, B3, Thyrohyrax domorictus). A. Length vs. proportional frequency, showing how a single trait, length, would be modeled in a univariate discriminant analysis using observed means and variances. Colored sections of the distributions show length values that are within 95% confidence intervals of the means of more than one tooth locus, indicating regions of ambiguous lengths. B. Length vs. relative width, showing scatter plots overlaid on 2D density diagrams showing the distribution of values for individual teeth.
High-power in-phase and anti-phase mode emission from linear arrays of resonant-tunneling-diode oscillators in the 0.4-to-0.8-THz frequency range - data
<div> <p>Experimental and simulation data from the paper "High-power in-phase and anti-phase mode emission from linear arrays of resonant-tunneling-diode oscillators in the 0.4-to-0.8-THz frequency range".</p> <p> </p> </div>
Fig. 14. Multiple linear discriciminant score D in Ponera Testacea Emery, 1895 Stat. N. - A Sister Species Of P. Coarctata (Latreille, 1802) (Hymenoptera, Formicidae)
Fig. 14. Multiple linear discriciminant score D(7) = 0.068 FoDG +0.002 CS –0.43 PEL/NOH +0.02 PiMe –0.13 CL/CW –0.2 FR/CS –0.10 PEW/CS. for 126 individual workers of Ponera coarctata and testacea (based onSEIFERT's dataset)
METADATA for results of irradiation-induced complex DNA damage measurements using plasmid pBR322 along a typical Proton Treatment Plan at the MedAustron proton and carbon beam therapy facility (energy 137–198 MeV and Linear Energy Transfer (LET) range 1–9 keV/μm), by means of Agarose Gel Electrophoresis and DNA fragmentation using Atomic Force Microscopy (AFM)
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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>
FIGURE 1. Linear measurements used for morphological comparison. B-L in Fossil moles from the Gray Fossil Site (Tennessee): Implications for diversification and evolution of North American Talpidae
FIGURE 1. Linear measurements used for morphological comparison. B-L - buccolingual width; upper teeth - posterior-most tip of the metastyle to the lingual margin of the protocone; lower teeth - lingual-most tip of the metaconid to the buccal margin of the talonid. A-P - anteroposterior length; upper teeth - posterior-most tip of the metastyle to the anterior-most tip of the parastyle; lower teeth - anterior tip of the trigonid (paraconid) to the posterior end of the talonid (entostylid). TRI - width of the trigonid. TAL - width of the taloned basin. HL - total humerus length; proximal-most tip of greater tuberosity to distal-most point on capitulum. PW - width of the proximal end of the humerus: lateral most extent of the lesser tuberosity to the medial most aspect of the greater tuberosity. GT - length of the greater tuberosity. LT - length of the lesser tuberosity. DW - width of the distal end of the humerus: lateral most extent (entepicondylar process) to the medial most extent (ectepicondylar process). RL - total radius length: proximal-most tip of capitular process to distal-most tip of lunar articular facet. DL - length of the diaphysis. UF - length of the lunar articular facet. TUL - total ulna length; proximal-most tip of olecranon process to distal-most tip of terminal process. UL - ulna length without the olecranon fossa. Elements not to scale.
Figure 2 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 2. Linear leaf dimensions [maximum length (L) and maximum width (W)] used to estimate the leaf area of Thespesia populnea.
Figure 1 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 1. Geographical location of the municipality of Canguaretama, state of Rio Grande do Norte, Northeastern Brazil.
Fig. 2. Linear regression models showing the relationship between Aphis citricola and Harmonia axyridis abundance. A in Behavioral responses of Aphis citricola (Hemiptera: Aphididae) and its natural enemy Harmonia axyridis (Coleoptera: Coccinellidae) to non-host plant volatiles
Fig. 2. Linear regression models showing the relationship between Aphis citricola and Harmonia axyridis abundance. A: Catnip (Nepeta cataria) + French marigold (Tagetes patula), B: ageratum (Ageratum houstonianum) + French marigold, C: catnip + ageratum, and D: native vegetation.
Рис. 2. Линейный (А) и весовой (Б) рост бурого морского петушка Alectrias alectrolophus из разных районов Тауйской губы Охотского моря Fig. 2. Linear (A) and weight (Б) growth of stone cockscomb Alectrias alectrolophus from different regions of Taui Bay, the Sea of Okhotsk in Size-age structure, growth, and feeding of stone cockscomb Alectrias alectrolophus (Stichaeidae) from different areas of Taui Bay, the Sea of Okhotsk
Рис. 2. Линейный (А) и весовой (Б) рост бурого морского петушка Alectrias alectrolophus из разных районов Тауйской губы Охотского моря Fig. 2. Linear (A) and weight (Б) growth of stone cockscomb Alectrias alectrolophus from different regions of Taui Bay, the Sea of Okhotsk
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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.