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1,245 results for “dating”
Date used in the main text (see version-3 of the uploaded files)
<p>Date used in the main text for finite-fault slip inversions (see version-3 of the uploaded files).</p>
Date for: The chromosome-scale genome assembly of the yellowtail clownfish Amphiprion clarkii provides insights into melanic pigmentation of anemonefish
<p><span>Anemonefish are an emerging group of model organisms due to interesting biological traits such as sequential hermaphroditism, social control of size, symbiosis with anemones, and varying pigmentation patterns. In addition to genus-specific traits, the anemonefish <em>Amphiprion</em> <em>clarkii</em> possesses species-specific characteristics such as interspecies co-habitation, high intraspecies color variation, no anemone specificity, and a broad distribution, that have the potential to further our understanding of anemonefish evolutionary history, behavioral strategies, fish-anemone symbiosis, and color pattern evolution. However, despite its position as an emerging model species, the genome of <em>A. clarkii </em>is yet to be published. Here, using PacBio long-read, Illumina short-read and Hi-C chromatin capture technology we generated a high-quality chromosome-scale genome for the anemonefish <em>A. clarkii</em>. The initial assembly consisted of 1840 contigs with an N50 of 1,203,211 bp. These contigs were successfully anchored into 24 chromosomes of 843,582,782 bp and then annotated with 25,050 </span>protein-coding gene models. With the chromosome-scale assembly encompassing 98.7% of conserved actinopterygian genes and the annotation containing 97.0%, the quality and completeness of this <em>A. clarkii</em> genome is the highest amongst all published anemonefish genomes. The publication of this high-quality genome, along with <em>A. clarkii'</em>s many unique traits, position this species as an ideal model organism for addressing scientific questions across a range of disciplines.</p>
Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'
<p>Contains all supplementary works mentioned in the manuscript.</p>
TrypTag: plate V1115 (replicate dated 20180807)
<p>TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in 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 V1115, replicate dated 20180807.</p>
Date of extreme precipitating events over Burkina Faso
<p>The present ASCII file provides the dates of the daily extreme precipitating events (EPEs) for each of the 15 1°x1° pixels covering Burkina Faso as detected by Sanogo et al. (2022). The original raingauge dataset was provided by the Burkinabe National Meteorological Agency (Agence Nationale de la Météorologie). It consists in 142 raingauge stations covering most of Burkina Faso and providing daily rainfall accumulation over the period 1995–2016. Raingauge data were aggregated in 1°x1° pixels, and only pixels with at least five stations were considered. EPEs are detected for each of these pixels as the days when rainfall exceeds the 99th all-day percentile computed over the 1995-2016 period (Note Sanogo et al. 2022 used the period 2001-2013 for consistency with other datasets). See Sanogo et al. 2022 for details.</p> <p>The present dates serve as a basis for the composite analysis in Peyrillé et al. (2023).</p> <p>The ASCII file is organised as follows: one line per event, with latitude (degrees north), longitude (degrees east), year, month and day separated by spaces. Latitude and longitude refer to the center of each 1°x1° pixel.</p> <p>Peyrillé, P., R. Roehrig, and S. Sanogo, 2023: Tropical Waves are key drivers of Extreme Precipitation Events in the Central Sahel. Submitted to Geophysical Research Letters.</p> <p>Sanogo, S., P. Peyrilé, R. Roehrig, F. Guichard, F., and O. Ouedraogo, 2022: Extreme precipitating events in satellite and rain gauge products over the Sahel. Journal of Climate, 35(6), 1915– 1938. <a href="https://doi.org/10.1175/JCLI-D-21-0390.1">https://doi.org/10.1175/JCLI-D-21-0390.1</a></p>
TrypTag: plate U5332 (replicate dated 20160527)
<p>TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in 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 U5332, replicate dated 20160527.</p>
TrypTag: plate U5330 (replicate dated 20160520)
<p>TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in 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 U5330, replicate dated 20160520.</p>
Trypanosoma brucei bloodstream form tagging: plate R7852 (replicate dated 20180328)
<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 R7852, replicate dated 20180328.</p>
Trypanosoma brucei bloodstream form tagging: plate R7854 (replicate dated 20180403)
<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>
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>
Keeping Up to Date With P4Runtime: An Analysis of Data Plane Updates on P4 Switches
<p>This dataset contains the measurement scripts and the results of their execution for the paper “Keeping up to Date with P4Runtime: An Analysis of Data Plane Updates on P4 Switches”.</p> <p>For post-processing, the script <code>post-processing.py</code> was used. Its execution results in CSV suitable for inclusion in tikz figures as included in the paper.</p> <p>In the paper, the following experiment runs are considered:</p> <table> <thead> <tr> <th>experiment</th> <th>runs</th> <th>figures</th> </tr> </thead> <tbody> <tr> <td><code>2022-08-19_11-59-49_801994</code></td> <td>01, 05, 09</td> <td>5</td> </tr> <tr> <td><code>2022-08-19_21-19-07_490218</code></td> <td>01, 05, 09</td> <td>6</td> </tr> <tr> <td><code>2022-08-20_10-28-26_900864</code></td> <td>1</td> <td>4, 5</td> </tr> <tr> <td><code>2023-01-28_16-54-28_462097</code></td> <td>0</td> <td>4</td> </tr> <tr> <td><code>2023-01-28_17-51-17_645739</code></td> <td>1</td> <td>4</td> </tr> <tr> <td><code>2023-01-28_19-15-05_255922</code></td> <td>0</td> <td>4</td> </tr> <tr> <td><code>2023-01-28_20-10-43_259639</code></td> <td>1</td> <td>4</td> </tr> <tr> <td><code>2023-01-29_17-50-08_687660</code></td> <td>1</td> <td>4</td> </tr> </tbody> </table> <p><em>Note</em>: Only a subset of capture CSV <em>not</em> discussed in the paper are included, to reduce the dataset size limit.</p>
Self-Presentation Differences in a Dating App: Results
<p>Results from the 'Self-Presentation Variations in a Dating Application' project. It includes the shareable processed data, which has been anonymized and simplified, as produced by the published analysis code. It also includes the necessary code to generate all the graphs and tables.</p>
Supplementary Documents for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating'
<p>Appendix Data for Manuscript 'Investigating the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy for OSL exposure dating' - with added "Readme's" for relevant databases.</p>
Fig. 13 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 13. Distribution of alkaloid-type isolated between 2000 and 2021 from different genera in the Monimiaceae (Hortonia, Mollinedia, Peumus, Tambourissa, Xymalos), Siparunaceae (Siparuna, Glossocalyx) and Atherospermataceae (Doryphora, Laureliopsis).
Fig. 12 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 12. Distribution of the non-volatile constituents isolated between 2000 and 2021 from different genera in the Monimiaceae (Hortonia, Mollinedia, Peumus, Tambourissa, Xymalos), Siparunaceae (Siparuna, Glossocalyx) and Atherospermataceae (Doryphora, Laureliopsis).
Fig. 2 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 2. Previously undescribed and known terpenoids isolated from Hortonia genus in the Monimiaceae family.
Fig. 1 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 1. Previously undescribed γ-lactone compounds and ring opened derivative 10 isolated from the Monimiaceae family.
Fig. 7 in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 7. Previously undescribed and known flavonoids isolated from the Siparunaceae family (The substituents of flavonoids are denoted in blue font). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 10. Previously undescribed homogentisic acid derivatives isolated from G in Non-volatile constituents from Monimiaceae, Siparunaceae and Atherospermataceae plant species and their bioactivities: An up-date covering 2000-2021
Fig. 10. Previously undescribed homogentisic acid derivatives isolated from G. Brevipes in the Siparunaceae family.
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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.