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2,281 results for “laboratories”
Fig. 5 in An Investigation Of Embryo And Eggshell Development In Trichuris Suis (Nematoda, Trichuridae0 Under Laboratory Conditions
Fig. 5. Infectious Trichuris suis egg: а — sampled from nematode gonads, 40th day of cultivation (×350); b — sampled from faeces of infected pigs, 30th day of cultivation (×450).
Fig. 1 in An Investigation Of Embryo And Eggshell Development In Trichuris Suis (Nematoda, Trichuridae0 Under Laboratory Conditions
Fig. 1. Eggs of Trichuris suis at the protoplast stage of development: a — sampled from nematode gonads: 1 — unformed, 2 — formed (×350); b — sampled from faeces of sick pigs (×450).
Fig. 2 in An Investigation Of Embryo And Eggshell Development In Trichuris Suis (Nematoda, Trichuridae0 Under Laboratory Conditions
Fig. 2. Eggs of Trichuris suis at blastomere cleavage stage of development: а — sampled from nematode gonads, 15th day of cultivation (×400); b — sampled from faeces of infected pigs, 10th day of cultivation (×500).
Fig. 4 in An Investigation Of Embryo And Eggshell Development In Trichuris Suis (Nematoda, Trichuridae0 Under Laboratory Conditions
Fig. 4. Eggs of Trichuris suis at the stage of developing larvae: а — sampled from nematode gonads, 30th day of cultivation (×300); b — sampled from faeces of infected pigs, 20th day of cultivation (×450).
Laboratory validation of a smartphone-based sensor for diffuse optical volume properties
<p>This data set contains raw image data for laboratory validation of a diffuse-optical, smartphone-based sensor. The measurements were taken using scattering phantoms with known scattering and absorption coefficient. The raw image files have been converted to an uncompressed Adobe-.dng file format, file names indicate whether the file contains data for the three scattering phantoms (One, Two, Three) or spatial calibration data using a 9mm x 9mm calibration pattern (calib). The raw images are located in the folder ./calib. Matlab code is contained in the filder ./matlab. It can be run on Matlab R2021b.</p> <p>For analyzing the raw data set, use "CameraBatchCalib.m". It wraps around the function "CameraAnalysisCalib.m", which performs the image analysis and least-square fit to resorted and rescaled data, employing in turn the model function "theosurfG.m". The resulting data is plotted for comparison with the nominal attenuation length of the scattering phantoms.</p> <p>If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset and code. When using the data set within a publication, please cite:</p> <p>Markus Allgaier & Brian Smith, "A Smartphone-Based Sensor for Measuring the Optical Properties of Snow", in preparation, (2022).</p> <p>The underlying fit function is based on the calculations from:</p> <p>Markus Allgaier and Smith, Diffuse optics for glaciology, Opt. Express 29, 18845–18864 (2021)</p> <p> </p>
Geoelectrical and hydro-chemical monitoring of karst formation at the laboratory scale
<p>We propose a dataset of two Estaillades limestone core samples subjected to acid percolation at two different rates.</p> <p>We monitored:</p> <ul> <li><strong>Permeability </strong>from high-frequency pressure gradient acquisition. Facing noise, we filtered this permeability with a Savitsky-Golay filter. Then, we resampled permeability values to compare them at specific times when we performed other measurements.</li> <li><strong>pH</strong> at the inlet and outlet.</li> <li><strong>Calcium </strong>concentration at the outlet.</li> <li><strong>Porosity</strong> was initially measured with petrophysical measurements and then calculated from calcium concentration during percolation experiments. We resampled the values to compare them at specific times when we performed other measurements.</li> <li><strong>Water electrical conductivity</strong> at the inlet and outlet.</li> <li><strong>Rock sample electrical conductivity</strong>, from which we calculated the formation factor. Rock sample electrical conductivity was high-frequency acquired. We thus resampled the values to compare them at specific times when we performed other measurements.</li> </ul> <p>We also present the pore size distribution of both samples before and after the percolation experiments. The distribution comes from the mean <strong>chord lengths distribution</strong> generated from tomography imaging.</p> <p>In addition to this dataset, we display a picture of the mesh of the sample and the electrodes generated with EIDORS software and with which we computed the geometric factor.</p>
Data from: A novel laboratory method to simulate climatic stress with successful application to experiments with medically relevant ticks
<p>Ticks are the most important vectors of zoonotic disease-causing pathogens in North America and Europe. Many tick species are expanding their geographic range. Although correlational evidence suggests that climate change is driving the range expansion of ticks, experimental evidence is necessary to develop a mechanistic understanding of ticks' response to a range of climatic conditions. Previous experiments used simulated microclimates, but these protocols require hazardous salts or expensive laboratory equipment to manipulate humidity. We developed a novel, safe, stable, convenient, and economical method to isolate individual ticks and manipulate their microclimates. The protocol involves placing individual ticks in plastic tubes, and placing six tubes along with a commercial two-way humidity control pack in an airtight container. We successfully used this method to investigate how humidity affects survival and host-seeking (questing) behavior of three tick species: the lone star tick (Amblyomma americanum), American dog tick (Dermacentor variabilis), and black-legged tick (Ixodes scapularis). We placed 72 adult females of each species individually into plastic tubes and separated them into three experimental relative humidity (RH) treatments representing distinct climates: 32% RH, 58% RH, and 84% RH. We assessed the survival and questing behavior of each tick for 30 days. In all three species, survivorship significantly declined in drier conditions. Questing height was negatively associated with RH in Amblyomma, positively associated with RH in Dermacentor, and not associated with RH in Ixodes. The frequency of questing behavior increased significantly with drier conditions for Dermacentor but not for Amblyomma or Ixodes. This report demonstrates an effective method for assessing the viability and host-seeking behavior of tick vectors of zoonotic diseases under different climatic conditions.</p>
Squeegee: de novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes, simulation dataset 0.25% spike-in contaminant sequences
<p>Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potentially impact the interpretation of findings reported in microbiome studies, especially in low biomass environments. Our hypothesis is that contamination from DNA extraction kits or sampling lab environments will leave taxonomic "bread crumbs” across multiple distinct sample types, allowing for the detection of microbial contaminants when negative controls are unavailable. To test this hypothesis we implemented Squeegee, a de novo contamination detection tool. We tested Squeegee on simulated and real low biomass metagenomic datasets. On the low biomass samples, we compared Squeegee predictions to experimental negative control data and show that Squeegee accurately recovers known contaminants. We also analyzed 749 metagenomic datasets from the Human Microbiome Project and identified likely previously unreported kit contamination. Collectively, our results highlight that Squeegee can identify microbial contaminants with high precision.</p> <p> </p> <p>Simulation Dataset 0.25% contaminant spike-in.</p>
Squeegee: de novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes, simulation dataset 1% spike-in contaminant sequences
<p>Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potentially impact the interpretation of findings reported in microbiome studies, especially in low biomass environments. Our hypothesis is that contamination from DNA extraction kits or sampling lab environments will leave taxonomic "bread crumbs” across multiple distinct sample types, allowing for the detection of microbial contaminants when negative controls are unavailable. To test this hypothesis we implemented Squeegee, a de novo contamination detection tool. We tested Squeegee on simulated and real low biomass metagenomic datasets. On the low biomass samples, we compared Squeegee predictions to experimental negative control data and show that Squeegee accurately recovers known contaminants. We also analyzed 749 metagenomic datasets from the Human Microbiome Project and identified likely previously unreported kit contamination. Collectively, our results highlight that Squeegee can identify microbial contaminants with high precision.</p> <p> </p> <p>Simulation Dataset 1% contaminant spike-in.</p>
The Huanan Market Origin of SARS-CoV-2 is unlikely: The ancestral lineage containing specimen appears to have arisen from laboratory contamination
<p>• There is universal agreement that the lineage B/L is not the ancestral SARS-CoV-2; lineage A/S is the most ancestral lineage<br> • Until the Gao paper, no lineage A/S virus was identified at the Huanan Market, making the market an unlikely origin for the pandemic<br> • The Gao paper found one specimen, A20, with both lineage A/S and B/L<br> • The lineage B/L reads in A20 and the specimen Ct matched the expected findings<br> • The lineage A/S reads were anomalously high compared to the Ct and meet the definition of a statistical outlier<br> • The SARS-CoV-2 reads from the A20 sample also had two SNVs not seen in GISAID sequences until at least 60-90 days after the specimen was collected from the market<br> • This analysis supports a finding that the ancestral lineage A/S virus sequences in sample A20 were not present on the glove on January 1, 2020 when the sample was collected but instead arose by inadvertent laboratory contamination later, probably during metagenomic sequencing</p> <p>The absence of an unimpeachable ancestral lineage specimen at the Hunan Market makes it unlikely the market was the origin of the pandemic.</p>
Dataset for "Imaging of Small-Scale Heterogeneity and Absorption Using Adjoint Envelope Tomography: Results from Laboratory Experiments"
<p>The codes for Monte-Carlo simulation, scripts used to calculate the misfit kernels, and the processed data of the laboratory experiment.</p>
Figure 1 in Laboratory evaluation of Beauveria bassiana, some plant oils and insect growth regulators against two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae)
Figure 1. Infection caused by Beauveria bassiana on Tetranychus urticae, (a, b) dead female mites due to mycosis, (c) dead mite in control.
Laboratory data - physical modelling of gravel bed rivers under unsteady flow conditions
<p>Sediment transport and topography data from laboratory experiments under unsteady flow conditions.</p> <p>Data supporting the manuscript:<br> Redolfi, M., Bertoldi, W., Tubino, M., & Welber, M. (2018). Bed load variability and morphology of gravel bed rivers<br> subject to unsteady flow: A laboratory investigation. Water Resources Research, 54, 842–862. https://doi.org/<br> 10.1002/2017WR021143<br> Details about the physical model and the experimental procedure can be found in the paper.</p>
3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante
<p>This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios:</p> <ol> <li> <p><strong>Public Square in Murcia Capital</strong>: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered.</p> </li> <li> <p><strong>Engineering Laboratory at the University of Alicante</strong>: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds.</p> </li> </ol>
Fig. 3 in A small parasitoid of fire ants, Pseudacteon obtusitus (Diptera: Phoridae): native range ecology and laboratory rearing
Fig. 3. Frequency distribution of Solenopsis invicta head size from which Pseudacteon obtusitus emerged, sorted by gender and sample yr. Insert: frequency distribution of Pseudacteon obtusitus thoraces sorted by gender and sample yr.
Fig. 1 in A small parasitoid of fire ants, Pseudacteon obtusitus (Diptera: Phoridae): native range ecology and laboratory rearing
Fig. 1. Monthly phenology of Pseudacteon obtusitus across mo and yr at Corrientes Province, Argentina.
Fig. 2 in A small parasitoid of fire ants, Pseudacteon obtusitus (Diptera: Phoridae): native range ecology and laboratory rearing
Fig. 2. Relative percent abundance of Pseudacteon obtusitus categorized by the time of d (morning until 12:00 P.M., 12:00 to 3:00 P.M., afer 3:00 P.M.) and sample mo (Apr, May, Jun, Sep, Oct, Nov, Jan).
Collected laboratory data for: Theoretical basis and analyses of temperature responses of water-saturated rocks to rapid changes in confining pressure
<p><span>In this data submission, there are three collected laboratory data sets used in the submitted manuscript: Theoretical basis and analyses of temperature responses of water-saturated rocks to rapid changes in confining pressure. The first data set includes the </span><span>thermophysical properties of the main rock-forming minerals in the crust and water. The second data set includes </span><span>the poroelastic constants for compact and porous rocks. </span><span>The third data set includes <span>the </span>chemical composition (Oxides) and CIPW norm minerals of Karatsu basalt (KBT), and isothermal bulk modulus (<em>K</em><sub>i</sub>) of each mineral.</span></p>
figure 10 in Morphology and mating behaviour in the millipede Megaphyllum unilineatum (C.L. Koch, 1838) (Myriapoda, Diplopoda, Julida) under laboratory conditions
figure 10 Canonical variate analysis (cva) of differences in promere shape between males with different mating status (bars: grey – mated males; white –non-mated males).
figure 9 in Morphology and mating behaviour in the millipede Megaphyllum unilineatum (C.L. Koch, 1838) (Myriapoda, Diplopoda, Julida) under laboratory conditions
figure 9 Canonical variate analysis (cva) of differences in walking leg shape between males and females with different mating status (rectangles: black – mated males, white – non-mated males; circles: black – mated females, white – non-mated females).
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.