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8 results for “96-well plate”
102 hpf medaka embryos in 96 well plate (4 embryo/well) - brightfield - 2X magnification - ACQUIFER Imaging Machine
<p>Dataset originates from:</p> <p>Gierten, J., Pylatiuk, C., Hammouda, O. T., Schock, C., Stegmaier, J., Wittbrodt, J., Gehrig, J. and Loosli, F. (2020). <strong>Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions</strong>. Sci Rep <em>10</em>, 2046, doi:<a href="https://doi.org/10.1038/s41598-020-58563-w">10.1038/s41598-020-58563-w</a>.</p> <p>Used as benchmark dataset for Multi-Template-Matching by Thomas and Gehrig </p> <p>See implementation in Fiji <a href="https://github.com/LauLauThom/MultipleTemplateMatching">https://github.com/LauLauThom/MultipleTemplateMatching</a></p> <p>and in KNIME <a href="https://github.com/LauLauThom/MultipleTemplateMatching-KNIME">https://github.com/LauLauThom/MultipleTemplateMatching-KNIME</a></p> <p>Contacts: j.gehrig(at)acquifer.de, l.thomas(at)acquifer.de, jakob.gierten(at)cos.uni-heidelberg.de</p>
3dpf zebrafish larvae, 96 well plate,Tg(wt1b:EGFP), dorsal view, ACQUIFER Imaging Machine
<p>Datasets originate from internal test runs at ACQUIFER on the Imaging Machine (see also application note on "<a href="https://www.acquifer.de/downloads/Clicktoolappnote_ImagingMachine.pdf">The ACQUIFER PlateViewer: A tool for visualizing high content screening data and supervised feedback microscopy</a>")</p> <p>The datasets contain images acquired from 96 <em>Tg(wt1b:EGFP)</em> embryos at 3 dpf aligned in agarose cavities generated with 3d printed orientation tools (<a href="https://rdcu.be/byto9">Wittbrodt, Jonas N., Urban Liebel, and Jochen Gehrig. "Generation of orientation tools for automated zebrafish screening assays using desktop 3D printing." <em>BMC biotechnology</em> 14.1 (2014): 36.</a>):</p> <p>- 2x, 4x, 10x views</p> <p>- for each well (e.g. <em>A001</em>) a multi-color z-stack was acquired, with N z-slices (SL<em>NNN</em>) in two channels: BF (CO<em>6</em>) and GFP (CO<em>3</em>)</p> <p>Example file name containing metadata: -<strong><em>A001-</em></strong>-PO01--LO001--<em><strong>CO3</strong></em>--<em><strong>SL001</strong></em>--PX32500--PW0100--IN0100--TM281--X014580--Y011262--Z210710--T0200256066--WE00001.tif</p> <p>Used also as benchmark dataset for Multi-Template Matching by Thomas, LSV and Gehrig, J</p> <p>See implementation in Fiji <a href="https://github.com/LauLauThom/MultipleTemplateMatching">https://github.com/LauLauThom/MultipleTemplateMatching</a></p> <p>and in KNIME <a href="https://github.com/LauLauThom/MultipleTemplateMatching-KNIME">https://github.com/LauLauThom/MultipleTemplateMatching-KNIME</a></p> <p>Contact:</p> <p>j.gehrig(at)acquifer.de, l.thomas(at)acquifer.de</p> <p> </p> <p><strong>Ethic statement</strong></p> <p>The work presented does not involve work with animals according to German and European<br> legislation. All experiments have been performed at stages prior to the legal onset of animal life.<br> To obtain zebrafish embryos and larvae, fish were maintained in closed stocks at Heidelberg University.<br> Zebrafish husbandry and experiments are under the institutional control of the Universities animal<br> welfare agency. All the zebrafish husbandry and experimental procedures were performed in<br> accordance with the German animal welfare standards (Tierschutzgesetz §11, Abs. 1, Nr. 1, husbandry<br> permit number 35-9185.64/BH Wittbrodt) and in accordance with German and European Union animal<br> welfare guidelines. The fish facility is under the supervision of the local representative of the animal<br> welfare agency.</p>
Data from: The Metapopulation Microcosm Plate: a modified 96-well plate for use in microbial metapopulation experiments
1. Researchers in many sub-fields of ecology and evolutionary biology test hypotheses relating to metapopulation dynamics and landscape spatial structure. Key aspects of these hypotheses are often (a) large numbers of subpopulations and dispersal corridors and (b) their positions relative to each other. Testing such spatial hypotheses using traditional lab equipment and methods can be impractical, unwieldy, expensive, or impossible. 2. The Metapopulation Microcosm Plate (MMP) overcomes these difficulties. This device resembles a 96-well microtiter plate, but contains dispersal corridors between wells that can be modified in their spatial position to create various artificial landscapes, each with up to 96 habitat patches and hundreds of non-intersecting dispersal corridors of varying lengths. The device can be filled with nutrient broth and used to culture microbial metapopulations. 3. Here I describe how MMPs are designed, assembled, sterilized, and filled and demonstrate that MMPs can remain water tight and sterile with minimal evaporation for 5-7 days. 4. MMPs can be used to test many spatial hypotheses that have previously been prohibitively difficult to test. Further, by incorporating individual behavioral responses to within-patch conditions, MMPs can incorporate greater realism than do directed pipetting or other artificial dispersal methods.
Data from: The Metapopulation Microcosm Plate: a modified 96-well plate for use in microbial metapopulation experiments
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Comparative Analysis of Species-Specific Hepatocyte Function and Drug Effects in a Liver Microphysiological System PhysioMimix® LC12 and 96-Well Plates
GEO Series GSE300171. Macaca fascicularis; Rattus norvegicus; Homo sapiens; Canis lupus familiaris. 93 samples. Type: Expression profiling by high throughput sequencing.
TaqMan Array Human Cytokine Network 96-well Plate for M0 human primary macrophages
GEO Series GSE286937. Homo sapiens. 3 samples. Type: Expression profiling by RT-PCR.
TaqMan™ Array Human Inflammation 96-well Plate for Caco-2 cell line
GEO Series GSE286933. Homo sapiens. 3 samples. Type: Expression profiling by RT-PCR.
TaqMan Array Human Cytokine Network 96-well Plate for Caco-2 cell line
GEO Series GSE286929. Homo sapiens. 3 samples. Type: Expression profiling by RT-PCR.
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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.