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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. 3 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 3. Probability of detection of DMS using various methods (Digestion, D + P, Compressor) in relation to numbers of DMS in meat sample (basing on AMT method) (n = 43 for D + P, Digest, n = 19 for Compressor, for details, see Methods).
Fig. 1 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 1. The scheme of the experiment. Legend: P – prevalence of infection has been determined, I – intensity of infection has been determined, S – sensitivity of method has been determined, DMS – Distomum musculorum suis (mesocercariae of Alaria alata), AMT-reference – Alaria alata mesocercariae migration technique – reference method, Compressor – compressor analysis, Digestion – digestion with digestion stirrer, D + P – modified digestion with Pancreatin® bile pancreatic enzymes.
Fig. 2 in A comparison of detection methods of Alaria alata mesocercariae in wild boar (Sus scrofa) meat
Fig. 2. Mean numbers of DMS in meat sample (30 g) and comparison with the Kruskall Wallis test (X2 = 64.34.03; df = 2; P <0.001, N = 43 in all cases) and pairwise comparison with the Mann-Whitney U test (statistical difference was stated in comparison of pairs: AMT-Digestion and AMT-D + P, p <0.001 in both cases).
Figs 2, 3 in Native bee fauna of tomato crops: a comparison of active sampling and pan trapping methods
Figs 2, 3. Richness (Fig. 2) and abundance (Fig. 3) of flower visiting bees sampled bY different pan trap colors in nine tomato crops in GoiÁs state, BraZil. Boxplots represent means while vertical lines represent the 95% confidence interval. Each point represents value for each sampling unit.
Fig. 5 in Veterinary monitoring of gastrointestinal parasites in European bison, Bison bonasus designated for translocation: Comparison of two coprological methods
Fig. 5. The relationship between the prevalence of Eimeria spp. oocysts in European bison feces measured by the Willis and modified McMaster techniques (each point represents an individual parasite species).
Fig. 1 in Veterinary monitoring of gastrointestinal parasites in European bison, Bison bonasus designated for translocation: Comparison of two coprological methods
Fig. 1. Probability of detection of Eimeria spp. oocysts with the modified McMaster technique based on the number of oocysts detected using the Willis technique.
Fig. 4 in Veterinary monitoring of gastrointestinal parasites in European bison, Bison bonasus designated for translocation: Comparison of two coprological methods
Fig. 4. The relationship between the prevalence of various taxa eggs/oocysts in European bison feces measured by the Willis and modified McMaster techniques (each point represents an individual taxon/genus, blue points stand for oocysts and red point for eggs). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Veterinary monitoring of gastrointestinal parasites in European bison, Bison bonasus designated for translocation: Comparison of two coprological methods
Fig. 3. Probability of detection of Trichostrongylidae eggs with the modified McMaster technique based on the number of eggs detected using the Willis technique.
Fig. 2 in Veterinary monitoring of gastrointestinal parasites in European bison, Bison bonasus designated for translocation: Comparison of two coprological methods
Fig. 2. Probability of detection of Trichuris sp. eggs with the modified McMaster technique based on the number of eggs detected using the Willis technique.
Time Series Comparisons, Model Code, and a Demo Dataset for SIBaR: A New Method for Background Quantification and Removal from Mobile Air Pollution Measurements
<p>Time series comparisons between SIBaR, Brantley, and Apte background signals for all 312 time series in the Houston mobile monitoring campaign. Additionally, a R script demo (DemoData.R) of the SIBaR partitioning step on the demo datatset (DemoData.csv).</p>
To design, or not to design? Comparison of beetle ultraconserved element probe set utility based on phylogenetic distance, breadth, and method of probe design
<p>This repository contains Materials and designed UCE probe sets for the manuscript entitled "To design or not to design? Comparison of beetle ultraconserved element probe set utility based on phylogenetic distance, breadth, and method of probe design".</p>
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless. in Comparison of trophic spectra and hunting strategies of some large arachnids (Arachnida: Scorpiones, Solifugae, Aranei) in semi-desert biocenoses of Gobustan (Eastern Azerbaijan)
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless.
Supplement to the "Response to the Referee" of the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme"
<p>This is the supplement to the "Response to the Referee" of the article "Simulation of marine stratocumulus using the super-droplet method: Numerical convergence and comparison to a double-moment bulk scheme".</p> <p><a href="https://zenodo.org/api/files/87a1c801-d2f8-4c0c-b408-db56481cf97d/Movie%201_w_theta_v_t.mp4">Movie 1_w_theta_v_t.mp4</a>: Time evolution of vertical profiles of buoyancy production and its decomposition.</p> <p><a href="https://zenodo.org/api/files/6eabdd4d-61fd-4f7a-8656-0c9d1fb7ce6f/Movie%202_scatter_w_theta_v_t.mp4">Movie 2_scatter_w_theta_v_t.mp4</a>: Time evolution of scatter plots of w vs theta_v.</p> <p><a href="https://zenodo.org/api/files/6eabdd4d-61fd-4f7a-8656-0c9d1fb7ce6f/Movie%203_boy_incloud_real_z_t.mp4">Movie 3_boy_incloud_real_z_t.mp4</a>: Time evolution of buoyancy production and cloud fraction, and time series of cloud cover.</p> <p><a href="https://zenodo.org/api/files/2f5a17d9-6cb1-4769-88cd-65fd8efd0225/qr_cross.mp4">qr_cross.mp4</a>: Time evolution of cross section of rain water mixing ratio (q<sub>r</sub>) of SDM and SN14 simulation.</p>
Comparison of seven DNA metabarcoding sampling methods to assess diet in a large avian predator
Open the record for dataset details and reuse information.
A comparison of density estimation methods for monitoring marked and unmarked animal populations
Open the record for dataset details and reuse information.
Data to support manuscript: A Comparison of Two ROV Survey Methods Used to Estimate Fish Assemblages and Densities Around a California Oil Platform
This fish dataset was collected at platform Harmony, between Aug 25 and Aug 26, 2018. The ROV fish survey was done with two methods: industry (mimicking an inspection survey conducted for platform structural inspections) and biological method. Due to differences between the two methods in the positioning of the ROV vis a vis the jacket crossbeams, fish densities and diversities were different between the two methods at the platform bottom. This dataset provides fish counts and the relevant survey parameters (transect length and depth).
Comparisons among five canopy-cover estimating methods in five Douglas-fir/western hemlock structure types in the western Oregon Cascades
Estimates of forest canopy cover are widely used in forest research and management, yet methods used to quantify canopy cover and the estimates they provide vary greatly. Four ground-based techniques for estimating overstory cover -line- intercept, spherical densiometer, moosehorn, and hemispherical photography-and cover estimates generated using the Forest Vegetation Simulator (FVS) were compared in five Douglas- fir/western hemlock structure types in western Oregon. Differences in cover estimates among the ground-based methods did not depend on the structure type in which they were measured (p=0.33). As expected, estimates of cover increased and within-stand variability decreased with increasing angle of view among techniques. However, the moosehorn provided the most conservative estimates of vertical-projection overstory cover. The FVS-generated cover was consistently lower (by up to 44%, 17% on average) than the ground-based estimates and is not advised as a substitute for ground-based measures in these forest types. Regression equations are provided to allow conversion among canopy cover estimates developed with the four ground-based methods.
A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos
<p>This dataset was used on the paper "A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos" for the comparison of three of the most common background modelling methods. The objective was to determine which of the models would be a better fit for the videos we had available at the time.</p> <p>Images are separated into folders, each corresponding to one of the videos used. To understand the naming convention, you can check <a href="https://arxiv.org/abs/1810.02835">the paper</a>, available at arXiv.</p>
SAXS calculations for Refinement of 𝛼-synuclein ensembles against SAXS data: Comparison of force fields and methods
<p>SAXS curves calculated from MD simulations used as input to reweighting as described in preprint Refinement of 𝛼-synuclein ensembles against SAXS data: Comparison of force fields and methods</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.