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23,351 results for “Comparative”
FIGURE 1 in Comparative cytogenetic survey of the giant bonytongue Arapaima fish (Osteoglossiformes: Arapaimidae), across different Amazonian and Tocantins/Araguaia River basins
FIGURE 1 | Map of northern part of South America showing the sampling sites of Arapaima individuals analyzed in this study from Araguaia-Tocantins (brown) and Amazon (green) River basins, coded in the Tab. 1.
FIGURE 5 in Comparative cytogenetic survey of the giant bonytongue Arapaima fish (Osteoglossiformes: Arapaimidae), across different Amazonian and Tocantins/Araguaia River basins
FIGURE 5 | Comparative genomic hybridization (CGH) experiments on metaphase chromosomes of Arapaima individuals from the Javaé (JAV) (A–D) and Mamirauá (MAM) populations (E–H). First column (A and E): DAPI images of chromosomes; Second column (B and F): Hybridization pattern using gDNA of A. gigas from MAM population (red): Third column (C and G): Hybridization pattern using the gDNA of A. gigas from JAV population (green); Fourth column (D and H) overlap of the images. The shared regions are highlighted in yellow. The arrows indicate the higher abundance of some repetitions in individuals from MAM population. Bar=5 µm.
FIGURE 3 in Comparative cytogenetic survey of the giant bonytongue Arapaima fish (Osteoglossiformes: Arapaimidae), across different Amazonian and Tocantins/Araguaia River basins
FIGURE 3 | Metaphase plates of Arapaima gigas from Javaé (JAV) population (Araguaia-Tocantins River basin) hybridized with repetitive DNA sequences, including mono-, di- and trinucleotide microsatellites and the multigene families U2 snDNA. Bar=5 µm.
Comparative ecological analysis and predictive modeling of tick-borne pathogens
<p>Tick-borne diseases constitute the predominant vector-borne health threat in North America. Recent observations have noted a significant expansion in the range of the black-legged tick (<em>Ixodes scapularis</em> Say, Acari: Ixodidae), alongside a rise in the incidence of diseases caused by its vectored pathogens: <em>Borrelia burgdorferi</em> (Spirochaetales: Spirochaetaceae), <em>Babesia microti</em> (Piroplasmida: Babesiidae), and <em>Anaplasma phagocytophilium</em> (Rickettsiales: Anaplasmataceae), the causative agents of Lyme disease, babesiosis, and anaplasmosis, respectively. Prior research identified environmental features that influence the ecological dynamics of <em>I. scapularis</em> and <em>B. burgdorferi</em> that can be used to predict the distribution and abundance of these organisms, and thus Lyme disease risk. In contrast, there is a paucity of research into the environmental determinants of <em>B. microti</em> and <em>A. phagocytophilium</em>. Here we use over a decade of surveillance data to model the impact of environmental features on the infection prevalence of these increasingly common human pathogens in ticks across New York State (NYS). Our findings reveal a consistent northward and westward expansion of <em>B. microti</em> in NYS from 2009 to 2019, while the range of <em>A. phagocytophilum</em> varied at fine spatial scales. We constructed biogeographic models using data from over 1000 site-year visits and encompassing more than 250 environmental variables to accurately forecast infection prevalence for each pathogen to future years that were not included in model training. Several environmental features were identified to have divergent effects on the pathogens, revealing potential ecological differences governing their distribution and abundance. These validated biogeographic models are immediately useful for disease prevention efforts.</p>
Comparability and Reproducibility in HPC Applications' Energy Consumption Characterization
<p>The computational power of HPC systems continues to grow, and improving their energy efficiency is a critical issue for the field in the face of climate change and energy crises. One major aspect of energy optimization lies in the applications run on the systems themselves. In this work, we are looking into comparing energy consumption between different systems using a characterization process based on the recent energy characterization paper as a reference and starting point for other data centers to assess their application’s energy patterns. We demonstrated that we could use the methods from the starting paper, replicate the findings, and extend the work to more applications and more systems. Our work acts as a proof of concept for a repository of HPC applications’ energy patterns in our future work.<br><br>This is the collection of jobscripts, data, and python scripts used in the paper.</p>
A comparative study of commercially available, minimally invasive, sampling methods on Early Neolithic humeri analysed via palaeoproteomics
Open the record for dataset details and reuse information.
Data and Analysis Scripts for "Diviner uncovers hundreds of novel human (and other) exons through comparative analysis of proteins"
<p>This compressed directory contains the complete set of data and analysis scripts represented in "<em>Diviner</em> uncovers novel coding regions on eukaryotic genomes using targeted homology search."</p> <p> </p>
Comparing coronary stent material performance on a common geometric platform through simulated bench testing: Supporting data
<p>Data including UMATs and Abaqus input files related to the paper 'Comparing coronary stent material performance on a common geometric platform through simulated bench testing' <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jmbbm.2012.02.013" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.jmbbm.2012.02.013</span></a></p>
Fig. 5 in Captive management, reproduction, and comparative larval development of Klappenbach's Red-bellied Frog, Melanophryniscus klappenbachi Prigioni and Langone, 2000
Fig. 5. Body size of different test groups. (A) Single tadpole, O‒1, and (B) five tadpoles per box, O‒5, in osmosis water. (C) Single tadpole, P‒1, and (D) five tadpoles per box, P‒5, in pond water.
Fig. 2. Keeping and rearing M in Captive management, reproduction, and comparative larval development of Klappenbach's Red-bellied Frog, Melanophryniscus klappenbachi Prigioni and Langone, 2000
Fig. 2. Keeping and rearing M. klappenbachi. (A) Terrarium of the adult group housing eight specimens. (B) Rearing of the tadpole test groups in a climate chamber.(C) Rearing containers for the young toadlets.
Fig. 1 in Captive management, reproduction, and comparative larval development of Klappenbach's Red-bellied Frog, Melanophryniscus klappenbachi Prigioni and Langone, 2000
Fig. 1. Melanophryniscus klappenbachi. (A) Dorsal and (B) ventral view of an adult female. (C) Amplexus.(D) Egg clump attached to moss. (E) Contrasting photo of a tadpole, used for evaluating the growth.
Fig. 4 in Captive management, reproduction, and comparative larval development of Klappenbach's Red-bellied Frog, Melanophryniscus klappenbachi Prigioni and Langone, 2000
Fig. 4. (A) Mortality rate of different test groups until metamorphosis. (B) Average growth rate of the different test groups. (C) Number of tadpoles metamorphosed per day after hatching (O = osmosis water, P = pond water, number indicates individuals per container).
Fig. 3 in Captive management, reproduction, and comparative larval development of Klappenbach's Red-bellied Frog, Melanophryniscus klappenbachi Prigioni and Langone, 2000
Fig. 3. Developing coloration in young toadlets of different ages. (A) Recently metamorphosed toadlet. (B) Ten days after metamorphosis. (C) Twenty-three days after metamorphosis. (D) Two months after metamorphosis.
Fig. 3 A in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 3 A The production of amastigotes per cell in T. cruzi infections provides insight into the intracellular dynamics of T. cruzi within host cells. B Percentage of uninfected cells observed along the infection curves, susceptibility dynamics, and infection progression, highlighting variations in the percentage of uninfected cells throughout the experimental period. C Release of cell-derived trypomastigotes during infection of Vero cells, Neubauer chamber count
Fig. 1 A in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 1 A Microphotographs of 10-day incubation cultures of Trypanosoma cruzi epimastigotes in LIT medium with Field's staining and magnification (100 ×), metacyclic forms are indicated by red arrows. B Epimastigote production, evaluated for 12 days in a LIT medium. C Metacyclogenetic curve representing the dynamic process of metacyclic trypomastigote formation in T. cruzi. In x is the time (days) while the y-axis indicates the number of metacyclic trypomastigotes (MT) per milliliter. The data points provide information on the efficacy and kinetics of metacyclic trypomastigote production. D Dynamics of metacyclogenesis in T. cruzi, capturing both the starting point and the peak of the process. The data presented provide a better understanding of the timing and efficiency of metacyclic trypomastigote production. E This comparative approach uses brackets to indicate statistically significant differences (p <0.05) between DTUs in both the onset and peak phases of metacyclogenesis. In this graph, it can be seen whether there are DTUs with noticeable variations during the kinetics of metacyclogenesis
Fig. 2 in Comparative analysis of metacyclogenesis and infection curves in different discrete typing units of Trypanosoma cruzi
Fig. 2 Mosaic of microphotographs showing T. cruzi CDT infections in Vero cells for 120 h, using different DTUs. Samples were fixed with formaldehyde and stained with Field's stain. This representation captures the different stages and dynamics of infection in the different DTUs, and the cell morphological changes induced. White arrows indicate the presence of amastigotes at 24 h. By 72 h, amastigote nests become visible, and at 96–120 h, nests along with cell-derived trypomastigotes are observed
Figure 7 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 7: Plant parasitic nematode c-p classification from five fruit orchards in Osmaneli, Bilecik, Türkiye.
Figure 3 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 3: Free-living nematode c-p classification from five fruit orchards in Osmaneli, Bilecik, Türkiye.
Figure 2 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 2: Comparative maturity index analysis of nematode c-p classification from five fruit orchards in Osmaneli, Bilecik, Türkiye.
Figure 1 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 1: Sampling sites, fruit tree orchards: cherry (a), nectarine (b), olive (c), plum (d), walnut (e), peach (f) trees.
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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.