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ShareScore release 0.9.0
Dataset results
21 results for “retention time”
SBC LTER: Ocean: HFR-derived surface flow metrics, surface water retention times, and related factors in the Santa Barbara Channel (2012-2019)
This data package include three files: 1. daily maps of High-Frequency Radar (HFR) measured surface currents, indices of mesoscale eddy locations, and local retention times on a 2km grid; 2. monthly time series of wind stress, alongshore pressure gradient, surface current EOF principal components, vorticity, eddy area, eddy presence, and spatially averaged retention times from January 2012 to December 2019; 3. A MATLAB script for plotting the maps and timeseries. These data were processed in order to investigate the drivers of surface water retention in the Santa Barbara Channel, CA, details of which are available in the study: Brokaw, R.J., D.A. Siegel, and L. Washburn. Physical Drivers of Surface Water Retention in the Santa Barbara Channel. [In preparation for Journal of Geophysical Research: Oceans.]
SARS-COV2 Spike Glycopeptide Mass-Retention Time PCDL database
<p>Contains accurate mass, HPLC retention time, peptide sequence, glycan structure and mass spectra for over 400 glycopeptides from elastase digestion of SARS-COV2 Spike antigen and receptor binding domain. The database is used as part of the Mass-Retention Time Fingerprinting method to characterise Spike glycans as described in the BioRxiv preprint “Identification, Mapping and Relative Quantitation of SARS-Cov2 Spike Glycopeptides by Mass-Retention Time Fingerprinting”</p>
Dataset: "Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification"
<p>The SQLite database contains the pre-computed tandem mass spectra (MS2) and retention order scores used for the experiments in the publication: "<a href="https://doi.org/10.1093/bioinformatics/btaa998">Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification</a>" by Bach et al. (2020).</p> <p>A detailed description of the database structure is given in the 'README.md' and can also be found in the <a href="https://github.com/aalto-ics-kepaco/msms_rt_score_integration/tree/master/data">code-repository associated with the publication</a>. The database layout is illustrated in the 'db_layout.png' file.</p> <p>The SQLite file 'ms_and_rt_score_DB_bach_etal_2020.db.gz' is compressed using <a href="https://en.wikipedia.org/wiki/Gzip">gzip</a>.</p>
Code and data sets for "DeepLC can predict retention times for peptides that carry as-yet unseen modifications"
<p>Code used to prepare the data sets, calibrate retention times, generate DeepLC models, make predictions, and generate the figures. See README.md for more information on how to use these files and reproduce the results reported in the manuscript titled "DeepLC can predict retention times for peptides that carry as-yet unseen modifications".</p>
Supplementarty Data: Retention time and fragmentation predictors increase confidence in identification of common variant peptides
<p>Supplementary data related to the paper "Retention time and fragmentation predictors increase confidence in identification of common variant peptides"</p> <p>The database directory contains the FASTA files of the four protein sequence databases used in the analysis of the paper.</p> <p>The data directory contains exports with lists of all peptide-to-spectrum matches obtained from the analysis.</p> <p>More information and scripts to reproduce the post-processing steps are available at: https://github.com/ProGenNo/VariantPeptideIdentification</p>
Video Time lapse du bassin de retention Django Reinhardt à Chassieu (Depuis 2020)
<p>Photographie une fois par jour du bassin de rétention depuis le bungalow OTHU pour le suivi de son évolution.</p>
Retention time with molecular mass detection for pemetrexed, PEG, GABA, Pemetrexed-PEG conjugate, Pemetrexed-GABA conjugate
<p>This data represent the Retention time with molecular mass detection for pemetrexed, PEG, GABA, Pemetrexed-PEG conjugate, Pemetrexed-GABA conjugate</p>
Time-dependent Change in the Retention Force of the Implant Overdenture
ClinicalTrials.gov study NCT05675566. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Data from: Fruit secondary compounds mediate the retention time of seeds in the guts of Neotropical fruit bats
Open the record for dataset details and reuse information.
Impact of hydraulic retention time and pressure on anaerobic digestion of glucose-containing synthetic wastewater
<p>High-pressure anaerobic digestion (HPAD) can directly upgrade biogas (CH4 content to 90%) within the reactor. However, critical operational parameters, including hydraulic retention time (HRT) and pressure remained limited investigation. In this study, an HPAD reactor was operated at five different HRT (from 40 to 13 days), with pressure around 10~13 bar. In HPAD, the pressure was the driving force behind CH4 content. Low HRT (< 20 days) led to volatile fatty acid accumulation, which was earlier than the normal pressure counterpart. HRT had more effect on Archaea than Bacteria, while such a trend was inverted for pressure. Hydrogenotrophic methanogen Methanobacterium prevailed at low HRT (13~20 days). When operating continuous HPAD, attention should be paid to HRT, as low HRT (13 days) impaired the activity of CH4-synthesizing enzyme Methyl-coenzyme M reductase (MCR).</p>
Effect of Active vs. Passive Voiding Trials on Time to Discharge, Urinary Tract Infection, and Urinary Retention
ClinicalTrials.gov study NCT02886143. IPD Sharing: NO. Countries: 0. Publications: 1.
Mastery Learning Versus Time-based Education: Skill Acquisition and Retention of Basic Life Support in Laypeople
ClinicalTrials.gov study NCT02059395. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Allometric scaling of seed retention time in seed dispersers and its application to estimation of seed dispersal potentials of theropod dinosaurs
Open the record for dataset details and reuse information.
Impaired T cell and neoantigen retention in time serial analysis of lung cancer patients treated with TIL cell therapy
GEO Series GSE255549. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.
An orchestrated intron retention program in meiosis controls timely usage of transcripts during germ cell differentiation (RNA-Seq)
GEO Series GSE95138. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Impaired T cell and neoantigen retention in time serial analysis of metastatic non-small cell lung cancer in patients unresponsive to TIL cell therapy
GEO Series GSE291406. Homo sapiens. 174 samples. Type: Other.
Tracking and retention time data from Larus fuscus feeding at Doñana ricefields in Andalusia
<p>1. Non-frugivorous waterbirds disperse a wide variety of plants by endozoochory, providing longer dispersal distances than other mechanisms. Many waterbirds visit both agricultural and natural landscapes during their daily movements, but potential bird-mediated dispersal of weed plants within and from agricultural landscapes to other habitats is commonly overlooked. Gulls (Laridae) are expanding in numbers and increasingly exploiting anthropogenic habitats worldwide, with possible growing implications for the spread of weeds. Yet, to date there are no studies on the spatial distribution of weed dispersal by waterbirds.</p> <p>2. We developed a plant dispersal model based on movements of 19 <i>Larus fuscus</i> using ricefields, via GPS telemetry. We combined daily movements with two curves estimating the retention times (RT) of plant seeds in their guts: 1) an experimental curve based on RT in captivity for four weeds with dry fruits known to be dispersed by gulls: <i>Juncus bufonius</i>, <i>Cyperus difformis</i>, <i>Polypogon monspeliensis</i> and <i>Amaranthus retroflexus</i>; 2) a theoretical curve based on the interspecific scaling relationship between body mass and mean RT.</p> <p>3. Median dispersal distances of weed plant seeds by gulls ranged between 690-940 m, but maximum distances exceeded 100 km. The theoretical RT model showed higher median dispersal distances than the experimental RT model, but lower maxima (131 and 151 km, respectively). Spatial patterns of weed deposition were very similar between RT methods, and most strongly depended on gull movements. Variation between individual gulls had little influence on seed shadows. About 92% of all seeds (>10,000 intact seeds per day) were dispersed within the ricefield area of 370 km2. The remaining 8% of seeds were deposited beyond ricefields into other habitats, 42% of which reached moist environments (other irrigated agriculture, rivers and natural wetlands) presumably suitable for weed establishment.</p> <p>4. <i>Synthesis</i>: Gulls can disperse weed plants over long distances across a mosaic of habitats. This implies exchange of weed plant species between human-dominated and natural areas by waterbirds as dispersal vectors. This spatial study highlights the importance of non-frugivorous birds for long-distance plant dispersal, which is generally an overlooked mechanism in studies aiming to predict and manage expansion of weed plants.</p>
Time of Effect Onset in Treating Overactive Bladder or Non Obstructive Urinary Retention by Sacral Neuromodulation
ClinicalTrials.gov study NCT02040519. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Vaginal Speculum Type and Retention Time on Pregnancy Outcomes During The Embryo Transfer Process
ClinicalTrials.gov study NCT06619379. IPD Sharing: YES. Countries: 1. Publications: 0.
Punctal Plug Study to Determine the Safety and Retention Times of Various Lengths of Canalicular Stents in Volunteers
ClinicalTrials.gov study NCT00743249. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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