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662 results for “method comparison”
ANIMATION 2 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
ANIMATION 2. Three-dimensional animation of specimen Placostegus zbyslavus (Ziegler, 1984), from Kamajka locality, the Czech Republic, no. NM O8727.
Older than 4 Fig. 1 in Comparison Of Two Age Determination Methods Of The European Hares (Lepus Europaeus Pallas, 1778) In Southwest Lithuania
Older than 4 Fig. 1. The measurements of ulna-radius of the years European hares. 3-4 year old 18 a – juvenile, b- adult; 1 - length of epiphyses ossification in ulna; 2- width of epiphysis cartilage 2-3 year old 8 in ulna; 3- high of epiphyses in in ulna-radius; 4 - width of ulna-radius at the thickest part. Juvenile (under 1 year old)
BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 6. Comparison on resource utilization.
<p>Figure 6 shows resource utilization in different system loads and as shown in it, in ICDA<br> resource utilization is more efficient than other methods especially in higher system load which is<br> due to tradeoff and sharing factors.</p>
BRAIN Journal-Intelligent Continuous Double Auction method For Service Allocation in Cloud Computing-Figure 5. Comparison on successful allocation
<p>Figure 5 illustrates comparison of successful allocation rate between ICDA and other<br> methods. In the proposed method, intelligent allocation and also time consideration enable<br> consumers to acquire more resources before the deadline and as a result, the number of successful<br> allocation is higher than other methods.</p>
Figure 2. Decrease comparisons.-Hybridization of Fuzzy Clustering and Hierarchical Method for Link Discovery
<p>In this paper, we propose a new hybrid algorithm, which combines the features of fuzzy<br> algorithm and hierarchical algorithm. Our algorithm decreases the number of comparisons on link<br> discovery. Using hierarchical algorithm in the first level, the data is divided into two groups. In the<br> second level the worst cluster is determined by matrix memberships and then it split. This stage is<br> repeated until the optimal number of clusters is achieved.Creating typed links, between the entities<br> of different datasets is one of the key challenges on web of data .We presented the clustering<br> approach, which decreases the number of comparisons on link discovery. The results of linking the<br> movies in LinkedMDB to corresponding movies in DBpedia and also linking the places in<br> LinkedGeoData to the places of DBpedia show the it reduces the number of comparisons without<br> loss of recall and precision. Hopefully in the future, we will be able to elevate the proposed method<br> recall to 100 % using the membership matrix.</p>
Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees Dataset
<p>Here is the data corresponding to the paper "Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees" submitted to Genome Research. The data includes the following:<br> <br> Simulated data for 1200 African and European subjects in pedigrees.<br> Lists of subjects selected by each of the 4 subject selection methods examined; Primus, GIGI-Pick, Exome-Picks, and Random selection. <br> <br> The positions of sparse markers for gl_auto for African and European data.<br> <br> The lists of GWAS SNPs for AFR and EUR. </p> <p>Please see the paper for further details of the data generation, this metadata will be updated following publication. </p>
Replication package: assessing the sustainability of software products - a method comparison
<p><strong>Assessing the Sustainability of Software Products - A Method Comparison - Replication Package</strong></p> <p>This is a replication package for the paper entitled "Assessing the Sustainability of Software Products - A Method Comparison". The paper was submitted to the 33. EnviroInfo conference "Environmental Informatics – Computational sustainability: ICT methods to achieve the UN Sustainable Development Goals", 23th – 26th September 2019 at the University of Kassel, Germany.</p> <p>For further information, please refer to the <a href="https://zenodo.org/record/3257517/files/README.md?download=1">README.md</a></p> <p>This replication package is licensed under <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons CC BY-NC 4.0</a>.</p>
A comparison of automatic cell identification methods for single-cell RNA-sequencing data
<p>Benchmark datasets used to evaluate the performance of 22 classifiers for cell type classification for scRNA-seq data</p>
Figure 1 in Comparison of two morphometric methods for discriminating honey bee (Apis mellifera L.) populations in Turkey
Figure 1. Sampling locations in Turkey (Thrace: 1–2; Aegean: 3; Central Anatolia/ Mediterranean: 4–11; Southeastern Anatolia: 12–13; Northeastern Anatolia: 14–15).
Figure. Interferon alpha-A based phylogenetic tree (neighbor joining method) constructed by MEGA 6.1 for Punjab urial in comparison with other mammalian species sequences available from GenBank (NCBI). in Characterization of interferon alpha of major histocompatibility complex class I in Punjab urial (Ovis vignei punjabiensis)
Figure. Interferon alpha-A based phylogenetic tree (neighbor joining method) constructed by MEGA 6.1 for Punjab urial in comparison with other mammalian species sequences available from GenBank (NCBI).
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them. in Comparison of two methods for sampling orthopterans in grassland: differences in species representation and sex ratios
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them.
Figure 5 in A reliable method for quick comparisons of enchytraeid (Oligochaeta) densities in soil and their seasonal changes under cultivated and natural fields in central Greece
Figure 5. Principal component analysis of the samples collected from two sites, alfalfa field and boundary zone based on nine soil properties.
Figure 4 in A reliable method for quick comparisons of enchytraeid (Oligochaeta) densities in soil and their seasonal changes under cultivated and natural fields in central Greece
Figure 4. Seasonal changes in total precipitation and mean monthly temperature in Kopaida valley during the period April 2021 – March 2022.
Figure 3 in A reliable method for quick comparisons of enchytraeid (Oligochaeta) densities in soil and their seasonal changes under cultivated and natural fields in central Greece
Figure 3 depicts the monthly changes of the mean soil moisture of all three soil depths and the instant soil temperature at the sampling time at 10 cm depth. It is obvious that these two parameters altered identically in the two fields and only small differences can be detected, e.g. the rise in soil moisture in July in the alfalfa field due to the application of irrigation water.
Figure 3 in A reliable method for quick comparisons of enchytraeid (Oligochaeta) densities in soil and their seasonal changes under cultivated and natural fields in central Greece
Figure 3. Seasonal fluctuations of the mean soil moisture up to 15 cm depth and of the soil temperature at 10 cm depth in the alfalfa plantation and its boundary zone in Kopaida valley.
Figure 1 in A reliable method for quick comparisons of enchytraeid (Oligochaeta) densities in soil and their seasonal changes under cultivated and natural fields in central Greece
Figure 1. Left: Extraction efficiency (enchytraeid individuals m-2) of sucrose centrifugation, wet extraction with filter and wet extraction without filter. Bars and error bars denote means and 95% confidence intervals respectively. Means that are significantly different in multiple comparisons using Wilcoxon test are represented by different letters above bars (P <0.05). Right: Relationship between Enchytraeidae populations extracted with wet extraction without filter and a) sucrose centrifugation, and b) wet extraction with filter.
Fig. S2. E in Comparison of in vitro methods to inhibit growth of a virulent strain of Batrachochytrium dendrobatidis (Longcore, Pessier, and Nichols 1999)
Fig. S2. E. coli-violacein transformations. Violacein gene transformations of E. coli. (A) Example of NEB5-alpha-pJP1000 colony growth after 24 h post heat shock transformation. Each week, transformants were passed by re-streaking onto fresh agar and incubated at 37 °C for 24 h. (B) NEB5-alpha-pPSXvio+, (C) NEB5-alpha-pPSXvio++.
Fig. 3 in Comparison of in vitro methods to inhibit growth of a virulent strain of Batrachochytrium dendrobatidis (Longcore, Pessier, and Nichols 1999)
Fig. 3. Microscopic images (40x) of Bd challenge assays. (A) Microbacterium, (B) Micrococcaceae, and (C) recombinant E. coli- vio+. Vertical arrows point to the Bd lawn and horizontal arrows point to the left side of the bacterial streak. Absence of Bd lawn within field of view indicates the inhibitory effect from the bacterial streak. Approximate diameter of field of view ~0.5 mm.
Fig. S1. Toad skin swab cultures. Culture plates from A in Comparison of in vitro methods to inhibit growth of a virulent strain of Batrachochytrium dendrobatidis (Longcore, Pessier, and Nichols 1999)
Fig. S1. Toad skin swab cultures. Culture plates from A. boreas skin swabs after three days incubation at 25 °C.
Fig. 1. The Kruskal-Wallis rank sum test for the boxplot returned a in Comparison of in vitro methods to inhibit growth of a virulent strain of Batrachochytrium dendrobatidis (Longcore, Pessier, and Nichols 1999)
Fig. 1. The Kruskal-Wallis rank sum test for the boxplot returned a chi-squared value = 2, degrees of freedom (df) = 2, and P = 0.3679. The Wilcoxon rank sum test for the positive control and the highest concentration of amphotericin B returned W = 9, P = 0.1. These analyses show that the alternative hypothesis is true and assumes that there is information in the magnitudes and signs of the differences between paired observations, because the mean (location shift) is not equal to 0. Observed differences in mean cell count between the three groups (0.0, 1.6, and 3.2 µg/mL) are not statistically significant (P> 0.05).
ScienceDex guides
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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.