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Dataset results
377 results for “Mass spectrometry”
Inductively coupled plasma mass spectrometry of ions released from Ti40Zr10Cu36Pd14 bulk metallic glass
<p>Inductively coupled plasma mass spectrometry (ICP-MS) of ions released from Ti40Zr10Cu36Pd14 bulk metallic glass after incubation in artificial saliva for 1 day, 3 days and 7 day to see how much it releases its ion into the medium. </p>
Mass spectrometry of axonemes from Tetrahymena thermophila CU428 and acetylation mutants
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Proteins identified from tumor-derived extracellular vesicles using mass spectrometry
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Data from: In situ lipidomics of Staphylococcus aureus osteomyelitis using imaging mass spectrometry
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Data from: Direct measurement of fluorocarbon radicals in the thermal destruction of perfluorohexanoic acid using photoionization mass spectrometry
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Eumelanin and pheomelanin pigmentation in mollusc shells may be less common than expected: insights from mass spectrometry
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Mass spectrometry data for: A small protein coded within the mitochondrial canonical gene nd4 regulates mitochondrial bioenergetics
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Fourier transform ion cyclotron resonance (FT ICR) mass spectrometry data
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Data from: Long-lived metabolic enzymes in the crystalline lens identified by pulse-labeling of mice and mass spectrometry
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Porcine cell-free system mass spectrometry compiled data sets
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Discovery proteomics by mass spectrometry comparing secreted proteins from young and old mouse lung mesenchymal stromal cells
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Data for: Oligonucleotide mapping via mass spectrometry to enable comprehensive primary structure characterization of an mRNA vaccine against SARS-CoV-2
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Mass spectrometry data from: Deficiency in Galectin-3, -8, and -9 impairs immunity to chronic Mycobacterium tuberculosis infection but not acute infection with multiple intracellular pathogens
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Estimates of surface layer net community production based on underway Lagrangian measurements of the dissolved O2/Ar ratio using Equilibrator Inlet Mass Spectrometry (EIMS), based on both steady-state and non-steady-state assumptions of the mixed-layer biological oxygen budget. Also included are estimates of the potential contribution of vertical fluxes: advection, eddy diffusion, and entrainment.
The ratio of dissolved oxygen to argon in surface seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O2/Ar-based method accounts for many physical factors that influence oxygen concentrations in the surface ocean, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed layer O2/Ar budget, most notably the absence of vertical fluxes of O2/Ar and the existence of a steady-state balance between net productivity and the air-sea gas exchange of biological oxygen. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a ‘worst-case’ field environment. Quantifying the magnitude of vertical fluxes and comparing NCP estimates obtained using steady-state versus non-steady-state assumptions, we find the importance of the non-steady-state term to be considerable, also observing significant potential effects from vertical flux terms, particularly advection. Additionally, we observe strong diel variability in O2/Ar and calculated NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O2/Ar-derived NCP data as well as the potentially large effect of non-steady-state conditions, including diel cycles in surface O2/Ar that can bias interpretation of NCP data based on local productivity and the time of day at which measurements were made.
Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging (LD-LTP MSI) of jimsonweed
<p>Mass spectrometry imaging (MSI) data set in imzML format, obtained from jimsonweed (Datura stramonium) fruits and seeds using Laser Desorption Low-Temperature Plasma ionization. The data indicate the non-uniform distribution of tropane alkaloids.</p> <p>The experiment is described in:</p> <p>Elucidating the Distribution of Plant Metabolites from Native Tissues with Laser Desorption Low-Temperature Plasma Mass Spectrometry Imaging, Abigail Moreno-Pedraza, Ignacio Rosas-Román, Nancy Shyrley Garcia-Rojas, Héctor Guillén-Alonso, Cesaré Ovando-Vázquez, David Díaz-Ramírez, Jessica Cuevas-Contreras, Fredd Vergara, Nayelli Marsch-Martínez, Jorge Molina-Torres, and Robert Winkler, Analytical Chemistry 2019 91 (4), 2734-2743</p> <p>DOI: 10.1021/acs.analchem.8b04406</p>
Mass spectrometry data for interactive volcano plots - by van der Weegen et al.
<p>These datasets are generated by Yana van der Weegen et al. (2020) and part of the publication "The sequential and cooperative action of CSB, CSA and UVSSA targets the TFIIH complex to DNA damage-stalled RNA polymerase II" to be published in Nature Communications.</p> <p>The CSV files are used as input to generate (interactive) volcano plots, using the web app VolcanoNoseR. The code is archived here: https://zenodo.org/record/3625858</p> <p>The most up-to-date version of the interactive web app is available here: <a href="https://huygens.science.uva.nl/VolcaNoseR/">https://huygens.science.uva.nl/VolcaNoseR/</a></p>
Mass spectrometry data for interactive volcano plots - van der Weegen et al., 2020
<p>These datasets are generated by Yana van der Weegen et al. (2020) and part of the publication "The sequential and cooperative action of CSB, CSA and UVSSA targets the TFIIH complex to DNA damage-stalled RNA polymerase II" to be published in Nature Communications.</p> <p>The CSV files are used as input to generate (interactive) volcano plots, using the web app VolcanoNoseR. The code is archived here: https://zenodo.org/record/3625858</p> <p>The most up-to-date version of the interactive web app is available here: <a href="https://huygens.science.uva.nl/VolcaNoseR/">https://huygens.science.uva.nl/VolcaNoseR/</a></p> <p> </p> <p> </p>
Machine learning in mass spectrometry: A MALDI-TOF MS approach to phenotypic antibacterial screening
<p>Dataset relating to the publication:</p> <p>Machine learning in mass spectrometry: A MALDI-TOF MS approach to phenotypic antibacterial screening</p> <p>by Luuk Nico van Oosten and Christian D. Klein</p> <p>Published in the Journal of Medicinal Chemistry, 2020</p> <p><strong>Important notice:</strong></p> <p><strong>The data are free to use for non-commercial, academic purposes, provided that the original source is<br> cited and the authors and the publication are credited in any derivative work.</strong></p> <p><strong>A patent application has been filed for the method described by van Oosten and Klein, which uses mass<br> spectrometry and machine learning to identify the pharmacological or other effects of compounds on cell<br> cultures and other biological systems.</strong></p> <p>Therefore, a license for the commercial use of the method must be negotiated by contacting either</p> <p>Anke Faller<br> Universität Heidelberg<br> Dezernat Forschung<br> Rechts- und Strukturfragen der Forschungsförderung<br> Seminarstraße 2, 69117 Heidelberg<br> Tel. +49 6221 54-12611<br> anke.faller(at)zuv.uni-heidelberg.de</p> <p>or</p> <p>Prof. Dr. C. Klein; c.klein(at)uni-heidelberg.de<br> Medicinal Chemistry<br> Institute of Pharmacy and Molecular Biotechnology IPMB<br> Heidelberg University, INF 364<br> D-69120 Heidelberg<br> Germany<br> Phone: ++49-6221-54-4875<br> FAX : ++49-6221-54-6430</p> <p> </p>
Fig. 1 in Protein sequences from mastodon and Tyrannosaurus rex revealed by mass spectrometry
Fig. 1. Sequence identification by matching a peptide fragmentation pattern to a predicted tryptic peptide sequence. (A) Example of the chicken weighted simple consensus (CWSC) sequence algorithm for predicting a tryptic collagen peptide sequence from a previously unsequenced taxon (ostrich) based on three related organisms with one weighted organism (chicken). If a consensus of at least two organisms was present at amino add residues that diverged (positions 11, 15, and 23), the consensus residue was chosen in the predicted tryptic peptide sequence. For residues that diverged where no consensus was present (positions 2 and 3), the residue from the weighted organism (chicken) was chosen for the predicted sequence. Amino acid residues that aligned through all three organisms were left unchanged in the predicted sequence. (B) The experimental MS/MS spectrum from the LC/MS/MS analysis of a triply charged peptide from ostrich bone protein extract that matched to the predicted sequence GPAGP (OH)PGKNGDDGEAGKP(OH)GRP(OH)GER and contained three hydroxyproline residues. (C) The MS/MS spectrum of the synthetically derived triply charged peptide of the same sequence for confirmation. The typical b- and y- fragment ions from the fragmentation pattern of the experimental peptide align very well with the synthetic peptide, validating the sequence interpretation
Fig. 2 in Protein sequences from mastodon and Tyrannosaurus rex revealed by mass spectrometry
Fig. 2. Collagen peptide sequences unique to extinct mastodon identified by LC/MS/MS. (A) The four collagen altl peptide sequences found by the approach that are unique to ancient mastodon. Xcorr (cross-correlation score) and Sp (preliminary score) represent the scores resulting from database searching against protein databases using Sequest. The asterisk represents the hydroxylation site after the posttranslationally modified residue. (B) An example of the experimental MS/MS spectrum of a doubly charged tryptic peptide for the collagen altl peptide sequence GSEGPQGTR from the LC/MS/MS analysis of mastodon fossilized bone extract identified from a Sequest search against a theoretical collagen protein database. (C) The synthetic version of the same peptide sequence. All major ions from the experimental spectrum align very well with the ions from the synthetic version, validating the sequence.
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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.