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37 results for “sample details”
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 15
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 15 contains stitched image montages of a thin section through the lung of patient C05 which were acquired by scanning electron microscopy. The file “Data_set_15.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 13
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 13 contains stitched image montages of a thin section through the lung of patient C03 which were acquired by scanning electron microscopy. The file “Data_set_13.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 01
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C03, which was acquired by bright-field light microscopy.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 02
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C04, which was acquired by bright-field light microscopy.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 03
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C05, which was acquired by bright-field light microscopy.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 18
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 18 contains stitched image montages of a thin section through the lung of patient C08 which were acquired by scanning electron microscopy. The file “Data_set_18.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 17
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 17 contains stitched image montages of a thin section through the lung of patient C07 which were acquired by scanning electron microscopy. The file “Data_set_17.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.</p> <p> </p>
Details and raw isotope data for samples related to a semi-controlled feeding study involving rats fed to a red-tailed hawk (Buteo jamaicensis) and Eurasian eagle owl (Bubo bubo).
Open the record for dataset details and reuse information.
Best-fit Abundances, Observed Spectra and Spectral Models for the New Sample of Ultracool Dwarf Benchmarks with Detailed Chemical Characterization
<p>Dataset associated with Fisher et al. 2024 in RNAAS <a href="https://iopscience.iop.org/article/10.3847/2515-5172/ad79f0">[link to publication]</a></p> <p><code>summary.mrt</code> is a table of identifiers, photometry, fundamental stellar parameters and detailed chemical compositions for 13 candidate wide binary systems with FGK Main Sequence primaries (5100 K < Teff < 6300 K) and ultracool dwarf companions (2500 K < Teff < 3100 K). Refer to the file header for detailed description of columns and units.</p> <p><code>stars.zip</code> contains the high-resolution spectra of primaries observed with the Automated Planet Finder (APF, program <code>2021B_A010</code>), as well as the corresponding best-fit spectral models. Each FITS file in the archive represents an individual exposure of the primary. The files are arranged in directories by identifiers of the primaries. The total number of exposures varies from source to source.</p> <p>FITS files are composed of a primary HDU and 6 extensions.</p> <ul> <li>The primary HDU contains the unmodified sky-subtracted spectrum of the object as produced by the APF pipeline and published on <a href="https://jump.caltech.edu/">Jump</a>. The spectrum is stored as a 2D array organized by Echelle orders.</li> <li>The first extension contains the corresponding air wavelengths [in A] transformed to the rest frame of the source.</li> <li>The second extension is the boolean mask of pixels included in model fitting.</li> <li>The third extension is the adopted statistical weights of each pixel, estimated as inverse variances under the assumption of Poisson noise.</li> <li>The fourth extension contains the best-fit synthetic spectrum in CGS units of surface intensity per wavelength in A.</li> <li>The fifth extension is the best-fit spline continuum correction between the model and the data.</li> <li>The final extension contains the adopted FWHM of the line spread function in each pixel, estimated by combining in quadrature a wavelength-dependent component with λ/Δλ=120,000 and a best-fit wavelength independent component (the <code>quickblur</code> parameter of the <a href="https://github.com/Roman-UCSD/chemfit">chemfit</a> package)</li> </ul> <p>This repository is for the research note "New Sample of Ultracool Dwarf Benchmarks with Detailed Chemical Characterization" by Fisher et al. It is associated with manuscript number AAS58102.</p>
Details of the clinical and CSF findings in the enrolled patients with time-matched paired serum and CSF samples
<p>Demographics and clinical features of the enrolled patients with either of the three demyelinating neurological diseases according to the presence of disease-specific antibody (MOG-IgG, AQP4-IgG), confirmed by a live cell-based assay method, are shown in the dataset.</p> <p>Patients treated in our facility (Tohoku University, Japan) with acute neurological episodes in whom time-matched paired serum and CSF MOG-IgG and AQP4-IgG titers were simultaneously evaluated during the acute phase of the neurological episodes between 2006 and 2020 were initially recruited. To increase the sample size, eligible data of the patients from other facilities in Japan were additionally collected. Based on the results of the MOG-IgG and AQP4-IgG titrations for their serum and CSF samples, patients were divided into the following four disease groups: MOG-IgG-associated disease (MOGAD), AQP4-IgG-positive neuromyelitis optica spectrum disorder (anti-AQP4-positive NMOSD), multiple sclerosis (MS) without these antibodies, and other conditions. Patients with the first three disease groups were included for the study.</p>
The sampling information and detail levels of individual SVOCs along the Arctic Expedition Cruises in the Northern Hemisphere and Antarctic Expedition Cruise in the Southern Cruise
<p>This dataset comprises samples collected from the Marine Atmospheric Boundary Layer (MABL) during 3 research expeditions: the 2016 summer Arctic research cruise (74 surface seawater samples), the 2017 summer Arctic research cruise (16 atmospheric and 16 surface seawater samples), and the 2016-2017 Antarctic research cruise (40 atmospheric and 34 surface seawater samples). The sampling locations encompassed various regions, including the East China Sea to Northwest Pacific transect, the Arctic Ocean region, the East China Sea to India Ocean transect, the South Ocean, and the Antarctic offshore region. The samples were analyzed for 39 semi-volatile organic compounds (SVOCs), which included polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), and current-use pesticides (CUPs). All samples were collected using High-volume solid phase extraction and high throughput in situ ultrasound analysis.</p> <p>This dataset is the Supporting Information of the research article: “Global Geographical Redistribution and Source Dynamics of SVOCs in the Marine Air Boundary Layer”, Zheng et al., 2023. The unauthorized use of this database is prohibited.</p>
Details of the clinical and CSF findings in the enrolled patients with time-matched paired serum and CSF samples
Open the record for dataset details and reuse information.
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 04
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 contains a stitched image montage of the first and of the last semithin section from the analysis of patient C06, which was acquired by bright-field light microscopy.</p>
A detailed ultrastructural examination of lung cryobiopsy samples from a COVID-19 patient case series – Data set 16
<p>We investigated six cryobiopsy samples from six deceased patients (patients C03 to C08 from Barisione et al. 2020 <a href="https://doi.org/10.1007/s00428-020-02934-1">doi.org/10.1007/s00428-020-02934-1</a>) by using thin section electron microscopy (Cortese et al. 2022 <a href="http://doi.org/10.1007/s00428-022-03308-5">doi.org/10.1007/s00428-022-03308-5</a>). A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 16 contains stitched image montages of a thin section through the lung of patient C06 which were acquired by scanning electron microscopy. The file “Data_set_16.tif” contains a montage of the entire thin section while the other files contain selected areas of the section recorded at higher resolution.</p>
Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence (SNP)
GEO Series GSE101110. Homo sapiens. 46 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence
GEO Series GSE101114. Homo sapiens. 102 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array; Expression profiling by array.
Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence (expression)
GEO Series GSE101113. Homo sapiens. 56 samples. Type: Expression profiling by array.
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.