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2,315 results for “Comparative analysis”
The influence of thin as compared to thick peri-implant soft tissues on esthetic outcomes. A systematic review and meta-analysis.
<p>Dataset for all analyses in the paper.</p>
Data in the analysis of Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective
<p>This data is used in the analysis related to the article Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective. The data contain Crude Oil Prices, Exchange Rates, and Dummy variables coded 1 for the era before the Covid-19 outbreak and 0 for the era of Covid-19.</p> <p> </p>
Comparative analysis of larval growth in Lepidoptera reveals instar-level constraints
1. Juvenile growth trajectories evolve via the interplay of selective pressures on age and size at maturity, and developmental constraints. In insects, the moulting cycle is a major constraint on larval growth trajectories. 2. Surface area to volume ratio of a larva decreases during growth, so renewal of certain surfaces by moulting is likely needed for the maintenance of physiological efficiency. A null hypothesis of isometry, implied by Dyar's Rule, would mean that the relative measures of growth remain constant across moults and instars. 3. We studied ontogenetic changes and allometry in instar-specific characteristics of larval growth in 30 lepidopteran species in a phylogenetic comparative framework. 4. Relative instar-specific mass increments (RMI) typically, but not invariably, decreased across instars. Ontogenetic change in RMIs varied among families with little within-family variation. End-of-instar growth deceleration (GD) became stronger with increasing body size across instars. Across-instar change in GD was conserved across taxa. Ontogenetic allometry was generally non-isometric both in RMI and GD. 5. Results indicate that detailed studies on multiple species are needed for generalizations concerning growth trajectory evolution. Developmental and physiological mechanisms affecting growth trajectory evolution show different degrees of evolutionary conservatism, which must be incorporated into models of age and size at maturation.
Data from: Comparative analysis of the shape and size of the middle ear cavity of turtles reveals no correlation with habitat ecology
<p>The middle ear of turtles differs from other reptiles in being separated into two distinct compartments. Several ideas have been proposed as to why the middle ear is compartmentalized in turtles, most suggesting a relationship with underwater hearing. Extant turtle species span fully marine to strictly terrestrial habitats, and ecomorphological hypotheses of turtle hearing predict that this should correlate with variation in the structure of the middle ear due to differences in the fluid properties of water and air. We investigate the shape and size of the air-filled middle ear cavity of 56 extant turtles using 3D data and phylogenetic comparative analysis to test for correlations between habitat preferences and the shape and size of the middle ear cavity. Only weak correlations are found between middle ear cavity size and ecology, with aquatic taxa having proportionally smaller cavity volumes. The middle ear cavity of turtles exhibits high shape diversity among species, but we found no relationship between this shape variation and ecology. Surprisingly, the estimated acoustic transformer ratio, a key functional parameter of impedance-matching ears in vertebrates, also shows no relation to habitat preferences (aquatic/terrestrial) in turtles. We suggest that middle ear cavity shape may be controlled by factors unrelated to hearing, such as the spatial demands of surrounding cranial structures. A review of the fossil record suggests that the modern turtle ear evolved during the Early to Middle Jurassic in stem turtles broadly adapted to freshwater and terrestrial settings. This, combined with our finding that evolutionary transitions between habitats caused only weak evolutionary changes in middle ear structure, suggests that tympanic hearing in turtles evolved as a compromise between subaerial and underwater hearing.</p>
A comparative usability analysis of eye-tracking and mouse click data taken from digital libraries
<p>This dataset is the result of a study, in which we analyzed parallels and differences between clicks as well as eye movements on two different digital library homepages. For this analysis we used diverse tracking tools for mouse clicks and eye tracking data that where further studied with respect to specific areas of interest (AOI). </p> <p>The dataset contains two screenshots indicating the areas of interest (AOIs; entitled “AreasOfInterest_Kartenportal.jpg and AreasOfInterest_Webportal.jpg), which separate the homepages into analyzable parts. It also contains eight screenshots of the homepages containing the total amount of collected clicks (each name starting with “clicks”) and two screenshots with the eye tracking heat maps (starting with “Heatmap”). The screenshots have directly been extracted from the click and eye tracking tools and matched with the before mentioned AOIs in order to gain the total count of clicks and views as well as the view duration the concerned area.</p> <p>All data are synthesized in a document containing three sheets with different tables: a first one with the initial data compilation for all AOIs of the two analyzed homepages (entitled “Data”), a second one with a more visual compiled data analysis for both homepages and all AOIs (entitled “Data2) and last one with the duration of the view as well as the duration of the fixation and the compiled click data (entitled « Eye tracking study data »).</p>
Figure 35 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 35. Paratype, Bemisia rosae Danzig, 25 km s/o Orapa?, 10-VI-78, ex: rose, E. Danzig, coll.
Quality of life for patients with cutaneous leishmaniasis: a comparative analysis of the EQ-5D-3L and CLIQ questionnaires.
<p>This dataset contains quality of life surveillance results for patients with cutaneous leishmaniasis, Brazil, focusing in a comparative analysis of the EQ-5D-3L and CLIQ questionnaires.</p>
Exploring Cellular Dynamics: A Comprehensive Analysis of SH-SY5Y Cell Growth in Variable Polycarbonate Chambers and Comparative Insights with Standard Petri Dishes
<div> <div> <div> <div> <div> <div> <p>The provided illustrations delineate the proliferation of SH-SY5Y cells within polycarbonate chambers with varying diameters, ranging from 3 mm to 50 mm. HBE and HeLaGFP cells serve as points of comparison. Five microscopic images were captured for each culture plate, one at the central location and four at random sites. To trace the growth trajectory across different chamber sizes, images from various culture days underwent manual binarization using GIMP and/or ImageJ software. The resulting binarized images can be accessed in the 'masks' directories within the zipped files, corresponding to the attached images. Comparative analysis of cell growth within these chambers was conducted against growth observed in standard 60 mm Petri dishes from Corning.</p> <p>For monitoring cell growth, we employed an Olympus phase-contrast microscope (CKX53) equipped with a DLT camera (DLT-Cam PRO 1080 HDMI USB).</p> <div> <div> <div> <p>The file nomenclature employed herein serves to represent the primary experimental conditions under consideration. It comprises a hierarchical structure, encompassing various parameters as follows: cellsName_passageNumber_cellSuspension_measurementDayNumber_chamberDiameter_regionNumber_hOfFluids_number.</p> <p>The cellsNames parameter encapsulates the complete nomenclature of the cells utilized in the experiment.</p> <p>The passageNumber parameter represents the passage number and is encoded as 'pNumber.'</p> <p>The cellSuspension parameter is denoted by distinct codes:</p> <ul> <li>'c1' designates a cell suspension with a concentration of 5x10^5 cells/ml.</li> <li>'c3' signifies a cell suspension with a concentration of 1x10^5 cells/ml.</li> <li>'c4' denotes a cell suspension with a concentration of 5x10^4 cells/ml.</li> </ul> <p>The measurementDayNumber parameter is encoded as 'afterXXXdays,' signifying the number of culture days.</p> <p>The 'd' followed by a number (e.g., d6, d8, d10, d12, d15) indicates the diameter of the chamber in millimeters. In a given series of files (e.g., 1day_d6_1, 1day_d6_2, 1day_d6_3, 1day_d6_4, 1day_d6_5), the trailing numeral (_1, _2, _3, _4, _5) corresponds to a photograph captured in a distinct region of the sample.</p> <p>The hOfFluids parameter is employed to signify the height ('h') of the fluid above the cells in the chamber, expressed in millimeters.</p> <div> <div> <div> <p>In adherence to the aforementioned conventions, every file name serves to distinctly characterize a particular collection of experimental conditions. This practice enhances both the comprehensibility and systematic organization of the data. It is noteworthy that the complete set of parameters may not always be provided; for instance, the height of the column of medium is assumed to be 2 mm unless otherwise specified.</p> </div> </div> </div> </div> </div> </div> <br> <p> </p> </div> </div> </div> </div> </div> </div>
Comparative Analysis of Methods to Estimate Geodetic Strain Rates from GNSS Data in Italy
<p>This dataset comprises GNSS velocity field and strain rate maps for Italy.</p> <p><strong>List of Files:</strong></p> <ol> <li> <p><strong>velocity_dataset.dat</strong></p> <ul> <li>GNSS velocity field of stations with time series longer than 4.5 years.</li> <li>Columns: Longitude (degrees), Latitude (degrees), East component of velocity (mm/yr), North component of velocity (mm/yr), Uncertainty on the East component (mm/yr), Uncertainty on the North component (mm/yr), Station Name.</li> </ul> </li> <li> <p><strong>velocity_dataset_filtr.dat</strong></p> <ul> <li>Filtered velocity field.</li> <li>Columns: Longitude (degrees), Latitude (degrees), East component of velocity (mm/yr), North component of velocity (mm/yr), Uncertainty on the East component (mm/yr), Uncertainty on the North component (mm/yr), Station Name.</li> <li>Stations ending with 'GPM' represent velocity values obtained by merging neighboring stations.</li> </ul> </li> <li> <p><strong>strain_rate_nn.dat (strain_rate_visr.dat, strain_rate_wav.dat)</strong></p> <ul> <li>Strain rate computed on cells spaced by 0.025°.</li> <li>Suffixes in the file names: 'nn' refers to the Nearest Neighbor method, 'visr' refers to the VISR method, and 'wav' refers to the Wavelet-based method</li> <li>Columns: Longitude (degrees), Latitude (degrees), exx (east) component of the strain rate tensor (nstr/yr), exy (east, north) component of the strain rate tensor (nstr/yr), eyy (north) component of the strain rate tensor, second invariant of the strain rate (nstr/yr), most extensive eigenvalue (nstr/yr), most compressive eigenvalue (nstr/yr), angle between north and the direction of the eigenvector corresponding to the most compressive eigenvalue (degrees, positive clockwise).</li> </ul> </li> </ol> <p><strong>Reference:</strong></p> <p>For further details, please refer to the article "Comparative Analysis of Methods to Estimate Geodetic Strain Rates from GNSS Data in Italy", published in <em>Annals of Geophysics</em>.</p>
Enhancing comparative T-cell receptor repertoire analysis in small biological samples through pooling homologous cell samples from multiple mice
<p>All data files used to generate the figures in the paper are shared in this project.</p> <p>Scripts are available on <a href="https://github.com/i3-unit/CRM_24" target="_blank" rel="noopener">GitHub</a>.</p>
Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies
<p>Included here are individual burn maps used for evaluating algorithm results in the paper: Optimal IoT Sensor Deployment in the WUI: A Comparative Analysis of Strategies. This paper was accepted for presentation at IEEE HONET 2024, the 21st IEEE International Conference on Smart Communities. (For financial/travel reasons the paper has since been withdrawn)</p> <p>Also included are maps of fuel load and elevation (geotifs) and the daily weather (in .csv format) for the region of interest used in the burn probability simulator Burn-P3+ to generate the individual burn maps.</p> <p>This paper investigates optimized IoT sensor deployment strategies within the Wildland-Urban Interface (WUI), a key component of smart communities. It presents a comparative analysis of a novel dynamic grid approach against traditional random and greedy algorithms. By employing the Burn-P3+ simulator, detailed burn probability maps are generated for two Canadian geographically distinct areas: the Halifax Regional Municipality and Kelowna. Our analysis reveals that the dynamic grid method significantly enhances fire detection capabilities by strategically distributing IoT sensors in alignment with calculated burn probability. This approach shows a marked improvement of as much as 35% in burn detection over traditional deployment methods. The paper highlights the advantages of structured IoT sensor placement in supporting smart communities, offering more efficient and effective wildfire management strategies in the WUI through real-time data available to both fire mitigation teams and AI.</p> <p>Partial code for the sensor deployment algorithms discussed in the above mentioned paper is <a href="https://github.com/richardjpurcell/sensor-deployment-algorithms">available on GitHub</a>.</p>
Comparative analysis of Parkinson's and inflammatory bowel disease gut microbiomes reveals shared butyrate-producing bacteria depletion
<p><strong>Abstract: </strong>Epidemiological studies reveal that inflammatory bowel disease (IBD) is associated with an increased risk of Parkinson’s disease (PD). Gut dysbiosis has been documented in both PD and IBD, however it is currently unknown whether gut dysbiosis underlies the epidemiological association between both diseases. To identify shared and distinct features of the PD and IBD microbiome, we recruited 54 PD, 26 IBD, and 16 healthy control individuals and performed the first joint analysis of gut metagenomes. Larger, publicly available PD and IBD metagenomic datasets were also analyzed to validate and extend our findings. Depletions in short-chain fatty acid (SCFA)-producing bacteria, including <em>Roseburia intestinalis, Faecalibacterium prausnitzii, Anaerostipes hadrus</em>, and <em>Eubacterium rectale</em>, as well depletion in SCFA-synthesis pathways were detected across PD and IBD datasets, suggesting that depletion of these microbes in IBD may influence the risk for PD development.</p> <p><strong>Zenodo contents:</strong> In this Zenodo archive we provide the post-QC and taxonomic and functional profiling "Source Data" used in all downstream analyses to generate tables and figures seen in our manuscript. We also provide the link to our GitHub repository where we have stored the code used to perform the bioinformatic processing of the shotgun metagenomic sequences and stastical analyses. Individual sample raw shotgun metagenomic sequences and metadata from our UFPF dataset are available on NCBI Sequence Read Archive (SRA) under BioProject <a href="https://www.ncbi.nlm.nih.gov/bioproject/1096686">PRJNA1096686</a>. </p>
Comparative analysis of phenotypic plasticity sheds light on the evolution and molecular underpinnings of locust phase polyphenism
<p>Locusts exhibit one of nature's most spectacular examples of complex phenotypic plasticity, in which changes in density cause solitary and cryptic individuals to transform into gregarious and conspicuous locusts forming large migrating swarms. We investigated how these coordinated alternative phenotypes might have evolved by studying the Central American locust and three closely related non-swarming grasshoppers in a comparative framework. By experimentally isolating and crowding during nymphal development, we induced density-dependent phenotypic plasticity and quantified the resulting behavioural, morphological, and molecular reaction norms. All four species exhibited clear plasticity, but the individual reaction norms varied among species and showed different magnitudes. Transcriptomic responses were species-specific, but density-responsive genes were functionally similar across species. There were modules of co-expressed genes that were highly correlated with plastic reaction norms, revealing a potential molecular basis of density-dependent phenotypic plasticity. These findings collectively highlight the importance of studying multiple reaction norms from a comparative perspective.</p>
Comparative analysis of patient-specific aortic dissections through computational fluid dynamics suggests increased likelihood of degeneration in partially thrombosed aorta
<p>Aortic dissection is a life-threatening cardiovascular disease associated with high rates of morbidity and mortality, especially in medically under-served communities. It compromises the hemodynamics of the arteries that originate from the aorta, and its outcomes include visceral ischemia and aortic rupture in the acute phase and aneurysmatic degeneration in the chronic phase. Understanding patients’ blood flow patterns is pivotal for non-invasive evidence-based treatment as they greatly influence both the disease onset and its outcome. In this paper, we combine diagnostic imaging techniques and computational fluid dynamics to analyze the flow patterns of three aorta dissections (fully perfused, partially thrombosed, and fully thrombosed), and compare them to a healthy aorta. Besides flow kinematics, we focus on time averaged wall shear stress and oscillatory shear index that are recognized risk factors for aneurysm and rupture. Our analysis shows that partially thrombosed dissection is the most prone to false lumen degeneration. In all dissections, the arteries connected to the false lumen are generally poorly supplied with blood. Further, both true and false lumens present higher turbulence levels than the healthy aorta, and critical stagnation points. Mesh sensitivity and a thorough comparison against literature data together support the methodology robustness.</p>
Shoot senescence in perennials of seasonal habitats: Comparative analysis of a large set of species
<p>1. Senescence in plants is a hierarchical process affecting all their body parts from cells to whole organisms. Here we aim to fill the gap between the existing knowledge on leaf senescence and rapidly accumulating evidence on whole-plant senescence by addressing patterns and drivers of shoot senescence of herbaceous plants. This is a key process that determines photosynthetic gain late in the season and economy of soil-borne nutrients in seasonal climate.</p> <p>2. We present a comparative study of 231 temperate species, ranging from spring ephemeroids to species senescing in late autumn, in a common botanical garden collection, thus minimizing difference in environmental drivers affecting individual species. We assessed senescence by measuring size decline in the later part of the season.</p> <p>3. There were two main directions of variation in senescence trajectories: rate-date axis, separating early and fast senescing species from late and slowly senescing species, and the shape-asynchrony axis separating species with accelerating and synchronised senescence from non-accelerating senescence asynchronous among individual shoots. While accelerating senescence late in the season can be due to environmental harshness (frost), accelerating senescence early in the season is likely to be an indication of an active process.</p> <p>4. As expected, rate and shape of shoot senescence were associated both with leaf- and shoot-level traits. Species having leaves with high dry matter content senesced linearly and showed higher asynchrony among individual senescing shoots. Species with larger specific leaf area tended to senesce earlier and faster, and in synchronous and accelerating manner. Tall plants senesced later and in a more synchronous and accelerating manner.</p> <p>5. Species from different habitats varied in their senescence patterns. We confirmed the hypothesis that forest species postpone their senescence relative to open-habitats species, presumably to boost their photosynthetic balance, but did not confirm the hypothesis that plants from nutrient-poor habitats senesce earlier to retain soil-borne nutrients before the advent of frost.</p> <p>6. Synthesis. We show that while leaf senescence scales up to contribute to shoot senescence, shoot senescence has its additional independent drivers and is a phenomenon in its own right with clear environmental drivers. </p>
Fig. 3 in Comparative Analysis Of Karyotypes Of Two Cryptic Species Of Pelobatid Frogs (Amphibia, Anura) Of Ukraine
Fig. 3. Absolute length of chromosomes in spadefoots (Pelobates) of Ukraine. nm.
Fig. 1, 1–10 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 1–10. Sonograms of most frequent song types of Balkan chaffinches.
Fig. 1, 10–18 in Song Repertoire And Comparative Analysis Of Song Structure Of Chaffinch, Fringilla Coelebs (Fringillidae), From The Northeast Of Balkan Region
Fig. 1, 10–18. Sonograms of most frequent song types of Balkan chaffinches.
A comparative phylogenomic analysis of birds reveals heterogeneous differentiation processes among Neotropical Savannas
<p>The main objective of this study is to evaluate biogeographic hypotheses of diversification and connection between isolated savannas north (Amazonian savannas) and south (Cerrado core) of the Amazon River. To achieve our goal, we employed genomic markers (genotyping by sequencing) to evaluate the genetic structure, population phylogenetic relationships, and historical range shifts of four Neotropical passerines with peri-Atlantic distributions: the Narrow-billed Woodcreeper (<em>Lepidocolaptes angustirostris</em>), the Plain-crested Elaenia (<em>Elaenia cristata</em>), the Grassland Sparrow (<em>Ammodramus humeralis</em>), and the White-banded Tanager (<em>Neothraupis fasciata</em>). The population genetic analyses indicated that landscape (e.g., geographic distance, landscape resistance, and percentage of tree cover) and climate metrics explained divergence among populations in most species, but without indicating a differential role between current and historical factors. Our results did not fully support the hypothesis that isolated populations at Amazonian savannas have been recently derived from the Cerrado core domain. Intraspecific phylogenies and gene flow analyses supported multiple routes of connection between the Cerrado and Amazonian savannas, rejecting the hypothesis that the Atlantic corridor explains the peri-Atlantic distribution. Our results reveal that the biogeographic history of the region is complex and cannot be explained by simple vicariant models.</p>
Genome content flat files for comparative genomic analysis of seadragons and relatives
<p>Seadragons are widely recognized for their derived and novel traits. Research and conservation efforts involving these unique fish species and their relatives have been hindered by a lack of genomic resources. From this project we present full, annotated genomes of leafy and weedy seadragons, which help uncover surprising features of gene family and genome architecture evolution that likely relate to extreme phenotypic traits in seadragons, pipefishes, and seahorses. These genomes are important research resources for the Syngnathidae, a diverse, morphologically exceptional group of vertebrates, and for comparative genomic study of vertebrates in general.</p>
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.