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23,351 results for “Comparative”
Cell type labels for all clustering and normalization combinations compared for CODEX multiplexed imaging
<p>We performed CODEX (co-detection by indexing) multiplexed imaging on four sections of the human colon (ascending, transverse, descending, and sigmoid) using a panel of 47 oligonucleotide-barcoded antibodies. Subsequently images underwent standard CODEX image processing (tile stitching, drift compensation, cycle concatenation, background subtraction, deconvolution, and determination of best focal plane), and single cell segmentation. Output of this process was a dataframe of nearly 130,000 cells with fluorescence values quantified from each marker. We used this dataframe as input to 1 of the 5 normalization techniques of which we compared z, double-log(z), min/max, and arcsinh normalizations to the original unmodified dataset. We used these normalized dataframes as inputs for 4 unsupervised clustering algorithms: k-means, leiden, X-shift euclidian, and X-shift angular.</p> <p>From the clustering outputs, we then labeled the clusters that resulted for cells observed in the data producing 20 unique cell type labels. We also labeled cell types by hiearchical hand-gating data within cellengine (cellengine.com). We also created another gold standard for comparison by overclustering unormalized data with X-shift angular clustering. Finally, we created one last label as the major cell type call from each cell from all 21 cell type labels in the dataset. </p> <p>Consequently the dataset has individual cells segmented out in each row. Then there are columns for the X, Y position in pixels in the overall montage image of the dataset. There are also columns to indicate which region the data came from (4 total). The rest are labels generated by all the clustering and normalization techniques used in the manuscript and what were compared to each other. These also were the data that were used for neighborhood analysis for the last figure of the manuscript. These are provided at all four levels of cell type level granularity (from 7 cell types to 35 cell types). </p>
Dataset: Comparative analysis of the coordinated motion of Hsp70s from different organelles observed by single molecule three-color FRET
<p>Dataset: Comparative analysis of the coordinated motion of Hsp70s from different organelles observed by single molecule three-color FRET</p>
Comparing the Influence of Global Warming and Urban Anthropogenic Heat on Extreme Precipitation in Urbanized Pearl River Delta Area Based on WRF Dynamical Downscaling
<p>The simulation outputs from the Weather Research and Forecasting (WRF) v3.8.1 coupled with single layer urban canopy model from three experiments (HIST_AH300, HIST_AH0, and RCP85_AH300).</p> <p>Variables include hourly precipitation, wind, specific humidity, relative humidity, convective available potential energy, convective inhibition, temperature, model height, land use land cover, and topography.</p> <p> </p>
Figure 4 in Comparative population biology of Uca rapax (Smith, 1870) (Brachyura, Ocypodidae) from two subtropical mangrove habitats on the Brazilian coast
Figure 4. Uca rapax. Monthly size–frequency distributions for the Ubatumirim population.
Figure 3 in Comparative population biology of Uca rapax (Smith, 1870) (Brachyura, Ocypodidae) from two subtropical mangrove habitats on the Brazilian coast
Figure 3. Uca rapax. Monthly size–frequency distributions for the Itamambuca population.
Figure 6 in The life-cycle of Hemigalichus chrotogale sp. nov. (Acari: Listrophoridae), with comparative observations on listrophorid morphology
Figure 6. Hemigalichus chrotogale sp. nov., heteromorphic male in dorsal view.
Figure 1 in Comparative morphology of scales of four teleost fishes from Sudan and Yemen
Figure 1. Areas where scales were removed from left side of fish.
Discovery proteomics by mass spectrometry comparing secreted proteins from young and old mouse lung mesenchymal stromal cells
<p>Lung mesenchymal stromal cells (L-MSCs) were isolated from the young ( 3 months) and old (22-24 months) mice (N = 4 each) following collagenase digestion of the lungs and anchorage-dependent growth. Culture media was collected from young and old L-MSCs (10^6 cells) grown in culture for 24 hrs in serum-free condition. Culture media was then centrifuged to remove any cellular debris. Five (5) ml of supernatants were concentrated using 3kDa Molecular weight cut-off filters, and 10 micrograms of proteins were <span><span><span><span><span>run as multiple MW 1D PAGE fractions using a standard </span><span>GeLC</span><span> approach with a </span><span>nano</span><span>-HPLC in-line with a </span><span>Velos</span><span> Pro Orbitrap MS. </span></span></span></span></span><span><span><span><span><span>Individual data files were searched using </span><span>Sequest</span><span>, the results were then combined for each sample, followed by grouping, filtering, and quantifying by normalized spectral counts. </span></span></span></span></span></p> <p> </p>
Elastic energy storage in seahorses leads to a unique suction flow dynamics compared to other actinopterygian
<p></p><p>Suction feeding is a dominant prey-capture strategy across actinopterygians, consisting of a rapid expansion of the mouth cavity that drives a flow of water containing the prey into the mouth. Suction feeding is a power-hungry behavior, involving the actuation of cranial muscles as well as the anterior third of the fish's swimming muscles. Seahorses, which have reduced swimming muscles, evolved a unique mechanism for elastic energy storage that powers their suction flows. This mechanism allows seahorses to achieve head rotation speeds that are 50 times faster than fish lacking such a mechanism. However, it is unclear how the dynamics of suction flows in seahorses differ from the conserved pattern observed across other actinopterygians, nor how differenced in snout length across seahorses affect these flows. Using flow visualization experiments, we show that seahorses generate suction flows that are 8 times faster than similar-sized fish, and that the temporal patterns of cranial kinematics and suction flows in seahorses differs from the conserved pattern observed across other actinopterygians. However, the spatial patterns retain the conserved actinopterygian characteristics, where suction flows impact a radially symmetric region of ∼1 gape diameter outside the mouth. Within seahorses, increases in snout length were associated with slower suction flows and faster head rotation speeds, resulting in a trade-off between pivot feeding and suction feeding. Overall, this study shows how the unique cranial kinematics in seahorses are manifested in their suction feeding performance, and highlights the trade-offs associated with their unique morphology and mechanics.</p><p></p>
Fig. 3. The contact region. Numbers designate collecting sites. Compare with figure 49 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 3. The contact region. Numbers designate collecting sites. Compare with figure 49.
Figure 5 in The complete mitochondrial genome of Lemyra melli (Daniel) (Lepidoptera: Erebidae) and a comparative analysis within the Noctuoidea
Figure 5. The potential stem-loop structure with "GAAT" and "TATA" in the flanking region.
Figure 5 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 5. Female internal reproductive system of T. (S.) parvauricula. Scale bar = 1.0 mm.
Figure 8 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 8. Female internal reproductive system of T. (Y.) couckei. Scale bar = 1.0 mm.
Figures 4–5 in Comparative morphology study of the male genitalia of the genus Aegosoma from China (Coleoptera: Cerambycidae), with a new record species
Figures 4–5. Aegosoma george Do, 2015, male. 4. Dorsal view. 5. Ventral view. Scale bars = 1 cm.
Figure 7 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 7. Female internal reproductive system of T. (V.) sternotuberculata. Scale bar = 1.0 mm.
Figure 1 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 1. Female internal reproductive system of T. (B.) amurensis. Scale bar = 1.0 mm.
Figure 6 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 6. Female internal reproductive system of T. (V.) longitudinalis. Scale bar = 1.0 mm.
Figure 4 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 4. Female internal reproductive system of T. (P.) biaciculifera. Scale bar = 1.0 mm.
Figure 3 in Comparative morphological study of female internal reproductive system among nine species in the genus Tipula (Diptera: Tipulidae)
Figure 3. Female internal reproductive system of T. (L.) submanca. Scale bar = 1.0 mm.
FIGURE 10 in New leontiniid Notoungulata (Mammalia) from Chile and Argentina: comparative anatomy, character analysis, and phylogenetic hypotheses
FIGURE 10. Hypothetical scapular transition series in Notoungulata. Not drawn to scale.
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.