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Fig. 2 in Comparison of in vitro methods to inhibit growth of a virulent strain of Batrachochytrium dendrobatidis (Longcore, Pessier, and Nichols 1999)
Fig. 2. (A) and (B) Duplicate Bd negative controls, (C) E. coli-JP1000 (left bacterial streak) and Bacillus sp. (right bacterial streak), (D) E. coli-JP1000 displaying a clear ZOI surrounding the bacterial streak, (E) E. coli control.
Fig. 2 in Workflow of Lotmaria passim isolation: Experimental infection with a low-passage strain causes higher honeybee mortality rates than the PRA-403 reference strain
Fig. 2. Kaplan-Meier survival curves for the experimental groups (C1, control and PRA-403), showing the cumulative mortality over time. Vertical ticks indicate censored observations.
Fig. 1 in Workflow of Lotmaria passim isolation: Experimental infection with a low-passage strain causes higher honeybee mortality rates than the PRA-403 reference strain
Fig. 1. Workflow for the isolation of bee-infecting trypanosomatid parasites from honeybee guts. A. Dissection and tissue processing (steps 1–4), and trypanosomatid culture and expansion (step 5) in liquid or Solid Cultures. B. Growth curve of L. passim PRA-403 strain in decreasing concentrations of 5-Fluorocytosine (1 × 106 μg/ mL-100 μg/mL) to determine the maximum dose for parasite survival. C. Giemsa staining of L. passim C1 (CCP 1). D. Hoescht DNA staining of live L. passim C1 (CCP 1): N, Nucleus; K, Kinetoplast; E, Scanning Electron Microscopy of L. passim C1 (CCP 1) grown in Agar Solid cultures 20 days post-inoculation.
Fig. 3 in Eco-epidemiological screening of multi-host wild rodent communities in the UK reveals pathogen strains of zoonotic interest
Fig. 3. Bayesian phylogenetic tree of 18S ribosomal RNA sequences of Babesia microti isolates, indicating the position of the Munich strain-like isolate obtained from the tick Ixodes trianguliceps from a bank vole in Ceredigion, Wales. Sequences of the cogeneric species B. vulpes and B. rodhaini are used as outgroups.
Fig. 2 in Eco-epidemiological screening of multi-host wild rodent communities in the UK reveals pathogen strains of zoonotic interest
Fig. 2. Flea diversity. Percentage of flea genera collected during the two sampling seasons. *p <0.05.
Fig. 1 in Eco-epidemiological screening of multi-host wild rodent communities in the UK reveals pathogen strains of zoonotic interest
Fig. 1. Percentage of tick life stages across seasons collected from all rodent species. a) Total percentage of ticks found in the two study seasons. Light grey: larvae; dark grey: nymphs; black: adults. b) Percentage of tick life stages in each sampling season.
FIGURE 3. 3.1 von Mises stresses, 3.2 von Mises strains, 3.3 Displacements, 3.4 von Mises stress relationship with reference value, 3.5 von Mises strain relationship with reference value and 3.6 in Insights into the controversy over materials data for the comparison of biomechanical performance in vertebrate
FIGURE 3. 3.1 von Mises stresses, 3.2 von Mises strains, 3.3 Displacements, 3.4 von Mises stress relationship with reference value, 3.5 von Mises strain relationship with reference value and 3.6 Displacement relationship with reference value in front of variation in the elastic modulus (E) in points P and Q.
FIGURE 5. 5.1 von Mises stresses, 5.2 von Mises strains, 5.3 Displacements, 5.4 von Mises stress relationship with reference value, 5.5 von Mises strain relationship with reference value and 5.6 in Insights into the controversy over materials data for the comparison of biomechanical performance in vertebrate
FIGURE 5. 5.1 von Mises stresses, 5.2 von Mises strains, 5.3 Displacements, 5.4 von Mises stress relationship with reference value, 5.5 von Mises strain relationship with reference value and 5.6 Displacement relationship with reference value in front of variation in the elastic modulus (E) in points P and Q.
Covid-19 strains from December 2019 to September 2023
<p>This data is intended to be used by the programme file 'Polymorphism_CtoT.py' in the GitHub repository 'Nucleotide-Polymorphism'.</p>
Hepatic transcriptomic analysis reveals differential regulation of metabolic and immune pathways in three strains of chickens with distinct growth rate exposed to mixed parasites infections
<p><span>This dataset was generated from the study investigating hepatic gene expression in three strains of chickens: Ross-308 (R), Lohmann Brown Plus (LB), and Lohmann Dual (LD), 2 weeks after either an experimental infection (n = 18) with both <em>A. galli</em> and <em>H. gallinarum or kept as uninfected control (n = 12)</em>. </span></p>
Per-gene per-strain data: expression divergence between strains and alleles in F1s in wild C. elegans
<p>This dataset comprises p<span>er-gene per-strain data (used to perform all analyses and generate all figures), including regulatory pattern and inheritance mode classifications and underlying statistical differential expression results</span>.</p> <p>This is supplemental data for the linked preprint/publication describing insights derived from comparing gene expression (RNA-seq) between seven wild <em>C. elegans</em> strains and the laboratory reference strain N2, as well as the allelic expression of the wild and N2 alleles in F1s of crosses between all these wild strains and the reference strain.</p> <p>The PDF file <code>column_names_descriptions_worm_ase_data_pergene_perstrain.pdf</code> and excel spreadsheet <code>column_names_descriptions_worm_ase_data_pergene_perstrain.xlsx</code> serve as READMEs for the data file by providing details of the data held in each column of the data file <code>worm_ase_data_pergene_perstrain.txt.gz</code></p> <p>If you use this dataset (we hope someone does!), please cite the latest version of the accompanying preprint/publication.</p> <p>To query each gene in a user-friendly, visual format, see our shiny app <a href="https://wildworm.biosci.gatech.edu/ase/" target="_blank" rel="noopener">https://wildworm.biosci.gatech.edu/ase/</a></p>
Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'
<p>This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. Version 2 of FI-CLAY/14/856 is provided, including some other updates and corrections also.</p> <p>The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below:</p> <ul> <li>1_Data_Oedometer_test <ul> <li>Oedometer test data for Haarajoki clay and Suurpelto clay: <ul> <li>Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx)</li> <li>Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx)</li> </ul> </li> <li>Extended clay database FI-CLAY/14/856 (version 2) (.xlsx)</li> </ul> </li> <li>2_Code_Jupyter_Notebooks <ul> <li>Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb)</li> <li>Readme-file (.txt)</li> </ul> </li> <li>3_Figures_Online_Supplement <ul> <li>Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf)</li> </ul> </li> </ul> <p> </p> <p>More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).</p> <p> </p>
The effect of the graded bilayer design on the strain depth profiles and microstructure of CuW nano-multilayers
<p>In this document we share:</p> <p>-the XRD in-plane scans acquired on Cu/W multilayers at different incidence angle,</p> <p>-the in-situ stress curvature data acquired during multilayer growth,</p> <p>-the in plane d-spacing derived at different incidence angle, used for the simulation of the strain gradient.</p>
Figure 10 in Morphological ontogeny and molecular analyses of geographic strains of two closely related Neoseiulus species (Acari: Phytoseiidae)
Figure 10 World distribution of Neoseiulus womersleyi (open circles; from Akimov and Kolodochka 1991; Ho et al. 1995, 2003; Ehara and Amano 2004; Moraes et al.2004) andN. longispinosus (closed circles; from Hoet al.1995; Lin et al.2000; Ehara 2002; Moraes et al.2004; Ohno et al.2012).
Figure 1 in Morphological ontogeny and molecular analyses of geographic strains of two closely related Neoseiulus species (Acari: Phytoseiidae)
Figure 1 Neoseiulus longispinosus (Evans). Female; A – dorsum; B – venter; C – chelicera; D – spermatheca; E – leg IV; Male; F – ventrianal shield; G – spermatodactyl.
Figure 5 in Morphological ontogeny and molecular analyses of geographic strains of two closely related Neoseiulus species (Acari: Phytoseiidae)
Figure 5 Neoseiulus womersleyi (Schicha). Female; A – dorsum; B – venter; C – chelicera; D – spermatheca; E – leg IV; Male; F – ventrianal shield; G – spermatodactyl.
Figure 9 in Morphological ontogeny and molecular analyses of geographic strains of two closely related Neoseiulus species (Acari: Phytoseiidae)
Figure 9 Maximum likelihood (ML) tree based on the 28S regions (666 bp) of nuclear ribosomal DNA (nrDNA) of phytoseiid mites using Kimura 2-Parameter model with gamma distribution. Bootstrap values based on 1,000 replications are indicated at the nodes. Only bootstrap values>50% are shown. Each operational taxonomic unit is indicated by accession number, abbreviation of species, individual identification number (three individuals for each strain/species) and voucher specimen number.
Figure 11 in Morphological ontogeny and molecular analyses of geographic strains of two closely related Neoseiulus species (Acari: Phytoseiidae)
Figure 11 Body color of females in various strains ofNeoseiulus longispinosus (Nl) andN. womersleyi (Nw).
Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures"
<p>Data for the article "Strain-induced shape anisotropy in antiferromagnetic structures" </p> <p>URL: https://link.aps.org/doi/10.1103/PhysRevB.106.094430<br> DOI: 10.1103/PhysRevB.106.094430</p>
Emergenet models for HA/NA sequences of Influenza A strains
<p>Models emergent dependencies between mutational variations of key viral proteins in Influenza A.</p> <p>Models can be read using the emergenet package available on pypi. (https://pypi.org/project/emergenet/)</p>
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.