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7,518 results for “screenings”
Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 02 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 01 and day 2 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 02 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 02 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 00 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 0 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 12 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 12 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 10 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 10 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 14 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 14 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 02 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 02 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 04 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 04 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 02 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 03 and day 02 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 00 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 03 and day 00 after drought stress application. </p>
Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 06 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 03 and day 06 after drought stress application.</p>
Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 04 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 03 and day 04 after drought stress application.</p>
Raw Data for the article: Neurological Screening in Elderly Liver Transplantation Candidates: A Single Center
<p><strong>Background: </strong>Cerebral small vessels disease (cSVD) is an age-related disorder and risk factor for stroke and cognitive/motor impairments. Neurological complications (NCs) are among the causes of adverse outcomes in older liver transplant recipients. This study sought to determine whether cSVD predicts acute NCs in over 65-year-old liver transplant patients.</p> <p><strong>Methods: </strong>Data were collected, from a retrospective medical chart review, of 22 deceased donor liver transplant recipients aged 65 years or older with a pre-operative brain magnetic resonance imaging (MRI). We used the Fazekas score (0-3) as a quantitative measurement of the vascular lesion load seen in the MRI. We analyzed all post-operative acute NCs occurring during the hospital stay and any other non-NC.</p> <p><strong>Results: </strong>cSVD was recognized in all patients. Neurological complications (NCs) occurred in 18.1% of patients with toxic-metabolic encephalopathy the most frequent diagnosis (13.64%). More severe cSVD was associated with seizures (<em>p</em> = 0.0362), longer hospital stay (<em>p</em> 0.0299), and disability (<em>p</em> 0.0134). In our elderly cohort, hepatic encephalopathy (HE) (<em>p</em> 0.0287) and ascites (<em>p</em> 0.0270) were predictors of NCs after liver transplantation. Ascites and/or variceal bleeding and severity of liver disease were associated with adverse post-operative outcomes. The small sample size limited the statistical analysis power.</p> <p><strong>Conclusions: </strong>We present the preliminary data of a single-center retrospective study aimed at understanding the cSVD role on NCs and non-NCs after a liver transplantation in elderly patients. This would encourage a more appropriate multicenter prospective study that will definitely confirm if a neurological screening in old age liver transplant candidates is appropriate.</p>
Search strategies for new born screening for spinal muscular atrophy (SMA)
<p>The dataset includes the complete, reproducible search strategies for all literature databases searched during this project. </p>
10k 1:1 Mixture of Jurkat and MM1S Cells, 5' v2.0, CRISPR Screening, Chromium X - BESCA
<p>This dataset is a BESCA processed version of the example resources found at https://www.10xgenomics.com/resources/datasets/10k-1-1-mixture-of-jurkat-and-mm1s-cells-5-v2-0-chromium-x-2-standard</p>
Accuracy, acceptability, and feasibility of diagnostic tests for the screening of Strongyloides stercoralis in the field: the ESTRELLA study
<p>Raw data from the diagnostic study ESTRELLA. </p> <p>The primary objective of this study was to estimate the accuracy of five tests - a recombinant antigen- rapid diagnostic test (RDT); a crude antigen-based ELISA (Bordier ELISA); an ELISA based on two recombinant antigens (Strongy Detect ELISA); a modified Baermann method; an in-house real-time PCR for <em>Strongyloides stercoralis</em> infection. Secondary objectives were acceptability and feasibility of use in an endemic area.</p> <p>The study was carried out in remote villages of Ecuador</p>
FIGURE 37. Aeshnidae with valve. Direct screen capture from 3D in COMPARATIVE ANATOMY OF THE INSECT TRACHEAL SYSTEM PART 1: INTRODUCTION, APTERYGOTES, PALEOPTERA, POLYNEOPTERA
FIGURE 37. Aeshnidae with valve. Direct screen capture from 3D Slicer.
A genome-wide optical pooled screen reveals regulators of antiviral responses
<p>Supplementary Datasets for "A genome-wide optical pooled screen reveals regulators of antiviral responses"</p> <p><strong>Supplementary Dataset 1. </strong>Mean per-gene extracted features for all channels of genome-wide screen</p> <p><strong>Supplementary Dataset 2. </strong>Features from single cells in secondary antibody screen</p> <p><strong>Supplementary Dataset 3. </strong>Features from single cells in secondary reporter screen</p> <p><strong>Supplementary Dataset 4. </strong>IRF3 translocation scores from primary and secondary IRF3 antibody and IRF3 reporter screens (the latter upon both Sendai virus and VSV infection) and SeV intensity scores from secondary antibody screen.</p> <p><strong>Supplementary Dataset 5. </strong>Peroxisome and Sendai virus feature scores from genome-wide screen</p>
Multiplexed On-Yeast Serological Assay for Immune Escape Screening of SARS-CoV-2 Variants
<p>Experimental data and scripts used for the development of a Yeast-based serological Assay:</p> <ol> <li>The<strong> Python scripts</strong> folder includes all scripts used in this study to analyze sera titers and plotting data.</li> <li>The<strong> Raw data</strong> folder includes: <ol> <li>The Y<strong>east Immunoassay development</strong> folder includes the flow cytometric data for serum depletion and reduction of ligand depletion effects.</li> <li>The <strong>Yeast serological data folder</strong> includes the raw data of all tested sera and related data for their analyses.</li> </ol> </li> <li>The <strong>Snapgene plasmid maps </strong>folder includes the plasmid maps for the three SARS-CoV-2 VOCs for Snapgene.</li> </ol> <p> </p> <p> </p>
Dataset for the CHCHD10 antibody screening study
<p><strong>This antibody characterization dataset is related to the F1000 research article openly available at F1000Research.</strong></p> <p><em>This project contains the following underlying data included in a study aiming at characterizing antibodies for the CHCHD10 protein, encoded by the CHCHD10 gene. The original study is also available on the Zenodo YCharOS community (<a href="https://doi.org/10.5281/zenodo.5259992">https://doi.org/10.5281/zenodo.5259992</a>).</em></p>
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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.