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1,487 results for “Tagging”
Trypanosoma brucei bloodstream form tagging: plate R7856 (replicate dated 20180612)
<p>Trypanosoma brucei bloodstream form tagging protein localisation data. Widefield epifluorescence microscope images of protein subcellular localisation in the bloodstream form life cycle stage of the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate R7856, replicate dated 20180612.</p>
Trypanosoma brucei bloodstream form tagging: plate R1566 (replicate dated 20180201)
<p>Trypanosoma brucei bloodstream form tagging protein localisation data. Widefield epifluorescence microscope images of protein subcellular localisation in the bloodstream form life cycle stage of the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). Raw microscopy data and per-cell line localisation annotation for plate R1566, replicate dated 20180201.</p>
Amundsen Sea seal-tag CTD data (2014, 2019, 2020)
<p>1. Seal-tag hydrographic CTD measurements collected in the Amundsen Sea in 2014, 2019, and 2020.</p> <p>Columns are: Latitude [<sup>o</sup>], Longitude [<sup>o</sup>], Temperature [<sup>o</sup>C], Salinity [PSU], depth, z [m], absolute salinity, SA [g/kg], conservative temperature, CT [<sup>o</sup>C], potential temperature, PT [<sup>o</sup>C], potential density, PD [kg/m<sup>3</sup>], N<sub>2</sub>, Datetime [yyyy-mm-dd hh:mm:ss], Station/seal name. </p> <p>The official seal tag dataset can be found here: https://www.meop.net/database/meop-databases/.</p> <p>2. Remote sensing imagery (MODIS, Landsat) dates and links.</p>
FIG. 1 in Evaluation of Tagging Methods for Unique Identification of Individuals in Three Aquatic Eurycea Salamander Species
FIG. 1. VIE tag orientation used on three aquatic salamanders (Eurycea spp.) was either vertical or horizontal. Tags were read left to right (tail to head) for vertical orientation and top to bottom (dorsal to ventral) for horizontal orientation.
FIG. 3 in Evaluation of Tagging Methods for Unique Identification of Individuals in Three Aquatic Eurycea Salamander Species
FIG. 3. Examples of the different type of scenarios with tags in the study with time series photos and corresponding scores for expert readability (Read), breakage (Break), and percent remaining (%). (A) Depicts E. rathbuni with near faultless horizontal VIE tag, black-blue-pink. (B) A typical horizontal VIE tag on Texas Blind Salamander, purple-yellow-pink. (C) A vertical VIE tag on Texas Blind Salamander showing how the elastomer spreads into costal grooves and breaks along those lines, orange-green-red. (D) San Marcos Salamander with vertical VIE tag showing partial tag migration between month 6 and 9. Bottom portion of second yellow line migrates toward third green line, yellow-yellow-green. This individual had a previous horizontal green mark for sex. (E) Comal Springs Salamander with vertical VIE tag portraying partial tag loss of pink line between month 6 and 9, yellow-pink-red. (F) A Texas Blind Salamander, part of pilot tagging group tagged in June 2018, that was followed during the study, depicting a long-term horizontal VIE tag, orange-yellow-orange.
FIG. 2 in Evaluation of Tagging Methods for Unique Identification of Individuals in Three Aquatic Eurycea Salamander Species
FIG. 2. Body size ranges for three aquatic salamanders (Eurycea spp.) varied by species and animal age. (A) Largest F1 Texas Blind Salamander, in the first group to receive PIT tags. (B) Average size representative of Texas Blind Salamanders to receive horizontal VIA and VIE tags, approximately 2–5 plus years of age. (C) 8.4 mm PIT tag. (D) Average size of vertical VIE-tagged Texas Blind Salamanders, approximately nine months to 1.5 years of age. (E) Average size of San Marcos Salamanders used in study, 2 plus years of age. (F) Average size of Comal Springs Salamanders used in study, 2 plus years of age.
FIG. 4 in Evaluation of Tagging Methods for Unique Identification of Individuals in Three Aquatic Eurycea Salamander Species
FIG. 4. (A) ''E13'' illustrates an ideal subcutaneous VIA tag. (B) ''E22'' illustrates a poor-quality VIA tag, with the code being blurred beyond legibility by both the angle and depth of tag insertion and melanophores that blur the numbers.
Gamma and neutron tagged dataset from CLYC SiPM detector
<p>Tagged dataset of gamma and neutron events from <a href="https://www.iaea.org/publications/15101/nuclear-science-and-instrumentation-newsletter-no-3-february-2022">Deuterium-Deuterium (DD) and Deuterium-Tritium (DT) generators</a>. Data from a calibration Cs-137 gamma-only source are also included. The dataset was recorded at the Neutron Science Facility (NSF) of the Nuclear Science and Instrumentation Laboratory (NSIL), IAEA. The <a href="https://scionix.nl/wp-content/uploads/2017/03/V12.7B30_SIP-E3-CLYC-X.pdf">detector</a> is based on a small CLYC (Cs2LiYCl6:Ce) cylindrical crystal (0.5 in diameter by 30 mm length) coupled to a 4-element SiPM array. The data were sampled at 4 GSPS with 10-bits resolution using a CAEN DT5761 digitizer. Subsampling was performed to allow the dataset to be used in real-time embedded deployments, leading to a 100 MSPS final sampling rate. The detector energy range goes up to ~4.5 MeVee (gamma energy-equivalent units).</p><p>Classification of gamma and neutron events was carried out using a frequency-based pulse shape analysis (FCI), as described in the journal article: </p><p><a href="https://doi.org/10.1016/j.net.2023.11.013">https://doi.org/10.1016/j.net.2023.11.013</a></p><p>Two data files are included: <i>gamma.csv</i> and <i>neutron.csv</i>. The data are stored as follows in both files:</p><ul><li>Each row represents a single recorded event at 100 MSPS</li><li>The first 3001 columns represent the raw pulse samples in ADC units</li><li>Column 3002 is named "Energy" and represents each event's calibrated energy in keVee (kilo electron-Volt energy-equivalent) units</li><li>Column 3003 is named "FCI" and represents the neutron/gamma classification index based on the frequency-domain parameter</li></ul><p>A plot is provided (<i>Dataset Preview.png</i>) to show how the events are classified using FCI against Energy.</p><p>The total gamma and neutron events in this dataset are 10913 and 27696, respectively.</p>
Fig. 4 in Association analysis and molecular tagging of phytochemicals in the endangered medicinal plant licorice (Glycyrrhiza glabra L.)
Fig. 4. Principal component analysis (PCA) for the variable traits in the 59 Glycyrrhiza glabra localizations used in the study. Dimension1, Dim1; Dimension2, Dim2; Contribution, Contrib.
Fig. 2. Sampling sites for the 59 in Association analysis and molecular tagging of phytochemicals in the endangered medicinal plant licorice (Glycyrrhiza glabra L.)
Fig. 2. Sampling sites for the 59 localizations of Glycyrrhiza glabra, collected in the 21 provinces of Iran and used in the study. Each localization (L1, L2, etc.) included 2–3 different individuals, separated 50–100 m among them. Detailed descriptions for each localization are included in Supplementary Table 4. The black line separates provinces from North-Western and Eastern/Southern Iran.
Fig. 3 in Association analysis and molecular tagging of phytochemicals in the endangered medicinal plant licorice (Glycyrrhiza glabra L.)
Fig. 3. AFLP dendrogram (UPGMA) for the 170 individual Glycyrrhiza glabra plants sampled in 59 localizations and used in the study. Individuals where subpopulations A and B were predominant are depicted in green and red, respectively. Individuals (identified by numbers) are grouped in localizations (identified by L1, L2, etc., and also by the corresponding codes). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. Structure analysis, determined using 15 in Association analysis and molecular tagging of phytochemicals in the endangered medicinal plant licorice (Glycyrrhiza glabra L.)
Fig. 1. Structure analysis, determined using 15 AFLP primer combinations and the STRUCTURE software, of the 170 individual Glycyrrhiza glabra plants sampled in 59 localizations. Sub-populations A and B are represented in green and red color, respectively. Individuals (identified by numbers) are grouped in localizations (identified by L1, L2, etc., and also by the corresponding codes). See Supplementary Table 4 for information on the different localizations. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Data release: Atmospheric neutrino oscillation analysis with neutron tagging and an expanded fiducial volume in Super-Kamiokande I-V
<p><strong>Super-Kamiokande Atmospheric Neutrino Oscillation Analysis Data Release 2023</strong></p> <p>This data release accompanies the publication "Atmospheric neutrino oscillation analysis with neutron tagging and an expanded fiducial volume in Super-Kamiokande I-V." The information provided is divided into two sub-directories:</p> <ul> <li>bins: Contains data & MC counts in each analysis bin for different oscillation configurations</li> <li>chi2: Contains listings of chisquare values at each point in the oscillation parameter space scanned for the analyses described in the accompanying publication</li> </ul> <p><strong>Bin Information</strong></p> <p>This section describes the provided bin information. The `bin` subdirectory includes a ROOT file which contains binning information, data, and MC counts and MC summary statistics in each bin in the form of several ROOT trees. The contents of the ROOT file are also provided as text files within the same subdirectory.</p> <p>There are 930 bins used for atmospheric neutrino data in the analysis. Each ROOT tree and text file contains sequential listing of information for each of the 930 bins, i.e. the first entry or line of each tree and text file corresponds to the first bin, and so on.</p> <p><em>DISCLAIMER</em>: The data and MC counts and summary statistics provided are not expected to be sufficient to identically reproduce the publication fit results. The publication fit results rely on response functions of the bins to variations in the systematic uncertainty parameters which are not included in this release. Additionally, the MC oscillation probabilities used in the publication were computed individually for each MC event and are not possible to reproduce exactly using the binned event information provided with this release.</p> <p><strong>Bin Definitions</strong></p> <p>The ROOT file contains a `BinInfoTree` which lists the sample name associated with each bin, and the upper and lower bin edges of the 2D binning scheme used to bin atmospheric neutrino events. The sample names describe the selections used to place events in each bin, e.g. "subgev" and "multigev" for sub-GeV and multi-GeV events, respectively. Since data from the different SK phases are divided into different analysis samples, each sample name also lists the range of SK phases included in the same, e.g. sk1-5 for SK I, SK II, SK III, SK IV, and SK V, or sk4-5 for SK IV and SK V only. The contents of this tree are also listed in the `bin/sk_2023_BinInfo.txt` file.</p> <p><strong>Data Counts</strong></p> <p>Observed atmospheric neutrino data counts in each bin are listed in the `DataTree` within the ROOT file. The contents of this tree are also listed in the `bin/sk_2023_Data.txt` file.</p> <p><strong>MC Counts and Summary Statistics</strong></p> <p>MC counts and summary statistics of the true MC energies and directions are provided for each true neutrino type in the ROOT trees named `MC*Tree`. The information is provided for three oscillation configurations: The best-fit oscillation parameters in the normal ordering (NO), the best-fit oscillation parameters in the inverted ordering (IO), and without oscillations (NoOsc).</p> <p>The following summary statistics are provided for both the true neutrino energies and directions (cosine zenith angle) of MC events in each bin: Average, RMS, 2.3%, 15.9%, 50%, 84.1%, and 97.7% quantiles. The quantiles approximately correspond to -2, -1, 0, +1, and +2 sigma deviations from the median.</p> <p>The ROOT tree MC information is duplicated in the text files found under the `bin/[normal,inverted,unoscillated]` subdirectories, corresponding to the three oscillation scenarios.</p> <p><strong>Chisquare Information</strong></p> <p>This section describes the provided chisquare information. We provide listings of the relative chisquare values with respect to the global best-fit point in the normal ordering. The listings are provided as text files: The first columns correspond to the oscillation parameters at each grid point, while the final column lists the chisquare value. Chisquare values are provided for both the theta13-free and theta13-constrained analyses.</p> <p>ROOT files containing the 1D delta chisquare profiles for delta CP, and 2D delta chisquare profiles for allowed values of delta m^2 versus sin2 theta23 at 68% and 90% are also provided. There are two ROOT files corresponding to the contours from the theta13-free and theta13-constrained fits.</p> <p>A ROOT macro which draws the contours is also provided. It can be run using the following command from the chi2 directory:</p> <pre><code>> root draw_sk_contours.cc</code></pre> <p> </p>
Data and Code for: MFishBT: A global database of biogeochemical tags in migratory fish
<p>All data and code related to the paper: "MFishBT: A global database of biogeochemical tags in migratory fish" by Ding et al.</p> <p>The DataS1.zip includes the following files:</p> <p><strong>Checklist</strong></p> <p>Appendix_Table_S1_v1.csv</p> <p><strong>Final_Data</strong></p> <p>(1) MFishBT_tags_v1.csv</p> <p>(2) MFishBT_geographical_records_v1.csv</p> <p>(3) MFishBT_biological_archives_core_v1.csv</p> <p>(4) MFishBT_biological_archives_edge_v1.csv</p> <p>(5) MFishBT_biological_archives_core_edge_transects_v1</p> <p><strong>MFishBT_shiny</strong></p> <p>R shiny app code</p> <p><strong>MFishBTdat</strong></p> <p>R MFishBTdat package</p> <p><strong>Microsoft_Excel _VB_screening_button</strong></p> <p>Example.xlsm</p> <p><strong>Remove_outliers_demo</strong></p> <p>R code about remove outliers (remove_outliers.R)</p> <p> </p>
AutoMatic disPERsion Tagging Function Preliminary Evaluation
ClinicalTrials.gov study NCT05362656. IPD Sharing: NO. Countries: 1. Publications: 2.
Breast Localization: RFID Tags vs Wire Localization
ClinicalTrials.gov study NCT04750889. IPD Sharing: NO. Countries: 1. Publications: 2.
SCOUT Reflector for Tagging Lymph Nodes for Targeted Removal in Patients With Breast Cancer
ClinicalTrials.gov study NCT03411070. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A European Study on Medical Management Versus TAG Device + Medical Management for Acute Uncomplicated Type B Dissection
ClinicalTrials.gov study NCT00742274. IPD Sharing: Not stated. Countries: 0. Publications: 1.
TAG TEAM - Trans Adolescent Group Therapy
ClinicalTrials.gov study NCT07151079. IPD Sharing: YES. Countries: 1. Publications: 1.
MD2, Cystatin C and DNA Methylation Tags as Serum Biomarkers for POCD.
ClinicalTrials.gov study NCT03610191. IPD Sharing: Not stated. Countries: 1. Publications: 7.
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