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1,919 results for “trigger”
Dataset for the manuscript "Event-triggered STED imaging"
<p>Dataset that supports the implementation of the event-triggered STED method and support the findings in the manuscript: "Event-triggered STED imaging" (Jonatan Alvelid, Martina Damenti, Chiara Sgattoni, Ilaria Testa, preprint: https://doi.org/10.1101/2021.10.26.465907). The data files are organized according to the various experiments performed for characterization or application of the method. References to the specific figures in the manuscript that uses the different data is provided in the info file.</p> <p>The scripts provided at https://github.com/jonatanalvelid/etSTEDanalysis (https://doi.org/10.5281/zenodo.6469723) have been used for image and data handling, and image analysis of the here provided dataset.</p>
Spring arctic oscillation as a trigger of summer drought in Siberian subarctic over the past 1494 years
<p>Annually resolved July precipitation and Arctic Oscillation in May reconstructions derived from the d<sup>13</sup>C and d<sup>18</sup>O in larch tree-ring cellulose over the period 516-2009 CE for eastern Taimyr (Siberia). July precipitation reconstruction was obtained under the Russian Science Foundation (RSF) Grant number 21-17-00006 (<a href="https://rscf.ru/en/project/21-17-00006/">https://rscf.ru/en/project/21-17-00006/</a>) granted to Project Investigator Olga V. Churakova.</p>
TERMINUS WP4: Enzyme immobilization, protection, and triggering. TASK 4.2: Experimental data
<p>A. E. Delorme, J.-M. Andanson and V. Verney: Improving Laccase Thermostability with aqueous Natural Deep Eutectic Solvents, <em>Int. J. Biol. Macromol.</em>, (2020), <a href="https://doi.org/10.1016/j.ijbiomac.2020.07.022">doi.org/10.1016/j.ijbiomac.2020.07.022</a></p> <p><strong>Abstract</strong></p> <p>The wide-spread use of laccases in industry is often limited due to the enzyme inactivation over time at conditions which exceeds the operating conditions of the enzymes, which are neutral pH and ambient temperatures (30-40 °C). Today, the most common strategies used to improve enzyme stability are chemical modifications and immobilization of enzymes on solid supports. Although, these techniques have shown promise in improving enzyme stability, they are often synthetically demanding and unsustainable in terms of costs and synthesis route. Deep Eutectic Solvents (DESs) have attracted considerable attention as reaction media in biocatalysis due to their promising compatibility with enzymes and sustainable derivation. In this contribution we demonstrate the possibility of applying DESs as incubation media to inhibit thermal inactivation of laccase T. Versicolor. For example we show that by incubating laccase in 25 wt% of a betaine-xylitol based DES at 70 °C for 15 minutes, the measured residual activity of laccase is a near 10 fold greater than the measured residual activity of laccase when incubated without the DES. The drastic enhancement of the enzyme thermostability by pre-incubation of laccase in DES media showcases a facile, cheap and green method of boosting the stability laccase.</p> <p> </p> <p><strong>Dataset</strong></p> <p>This dataset contains all the UV-kinetic raw data used to calculate the laccase activity in the article “Improving Laccase Thermostability with aqueous Natural Deep Eutectic Solvents”. Data are available in a compressed .zip file with 1 folder (Laccase-thermostability-DES_v1.0_TER_WP4_D4-2) containing 3 files:</p> <p> </p> <ul> <li>one tabular file saved in .xlsx format containing all UV-kinetic raw data used to calculate the relative and residual laccase activities for figure 1-6 in the article (<a href="https://doi.org/10.1016/j.ijbiomac.2020.07.022">doi.org/10.1016/j.ijbiomac.2020.07.022</a>). The Laccase-thermostability-DES_v1.0_TER_WP4_D4-2.xlsx file contains the UV kinetic absorption spectra (at wavelength 417 nm) and each row in represent one spectrum. The spectra are grouped under laccase incubation temperature and length of time of incubation. For each incubation time, three solutions were prepared which signifies the three trials under each incubation times. Each sheet in the .xlsx file represent the data set collected for each laccase incubation medium</li> <li>The Materials_and_experimental_method-D4-2-Laccase-Thermostability-DES.pdf file details the experimental method and conditions for the data acquisition presented in the Laccase-thermostability-DES_v1.0_TER_WP4_D4-2.xlsx. Guidance is also provided on how to use the data to calculate the laccase activity and thermostability.</li> <li>The_metadata_information-D4-2-Laccase-Thermostability-DES.pdf includes more detailed metadata information for the dataset represented in the excel file Laccase-thermostability-DES_v1.0_TER_WP4_D4-2.xlsx.</li> </ul>
Mangrove diversity loss under sea-level rise triggered by bio-morphodynamic feedbacks and anthropogenic pressures
<p>To whom concerned,</p> <p>This dataset is the supplementary dataset for the publication in <em>Environmental Research Letters</em> entitled '<a href="https://dx.doi.org/10.1088/1748-9326/abc122"><em>Mangrove diversity loss under sea-level rise triggered by bio-morphodynamic feedbacks and anthropogenic pressures</em></a>' authored by Danghan Xie, et al. in 2020. The publication can be freely downloaded here: <a href="https://iopscience.iop.org/article/10.1088/1748-9326/abc122">https://iopscience.iop.org/article/10.1088/1748-9326/abc122</a>. The dataset consists of both model results and corresponding codes that one can easily reproduce figures either in the manuscript or the supplementary document. </p> <p>To use the code, one needs to pre-install the Matlab (R2017a) and changes the pre-set route (in the code) to the directory where the dataset is stored. The figure shapes may vary with the size of the user's monitor so output figures may be either squeezed or extended in unpredictable ways, but the window size of the figure can be adjusted to match the shape and the results will not be affected.</p> <p>The author is appreciated that any potential concerns or questions regarding our research from any party or person, so please contact me through the email: <a href="mailto:d.xie@uu.nl">d.xie@uu.nl</a> or <a href="mailto:xiedanghan@gmail.com">xiedanghan@gmail.com</a>. To know more about my research, you can also follow the <a href="https://www.researchgate.net/profile/Danghan_Xie">ResearchGate</a>.</p> <p>With Kind Regards,</p> <p>Danghan</p> <p>11th of November, 2020</p>
Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"
<p>This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr).</p> <p>Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. <a href="https://doi.org/10.1029/2020JB020005">https://doi.org/10.1029/2020JB020005</a></p>
TERMINUS WP4 Enzyme immobilization, protection, and triggering. TASK 4.1 TASK 4.2 Experimental data – Hydrolytic enzyme immobilization and triggering
<p>The use of polymer-degrading enzymes is an attractive and effective method for the management of plastic waste. Synthetic polyesters such as poly(ethylene terephthalate) (PET) or polyurethane (PUR) have been shown to be susceptible to enzymatic degradation by microbial polyester hydrolases, as well as biopolyesters such as poly(lactic acid) (PLA), poly(butylene succinate) (PBS), and polycaprolactone (PCL). However, raw enzymes are not used in polymer formulations because the high processing temperatures would deteriorate the proteins (whose enzymes are made of), by destroying their macromolecular structure and catalytic center. The possibility of a direct use of enzyme in a polymer formulation thorough an opportune protective system, able to preserve the activity of the enzyme and increase its thermal stability, could open to new materials degradable “on-demand” at the end-of life. Therefore, significant progresses could be possible for example in the field of plastic packaging, which currently represents 40% of the total production of plastic in EU and requires the consumption of more than 19 million tons of oil and gas.</p> <p>This dataset includes some of the experimental raw data presented by UNIBO in deliverable D4.1 and D4.3, namely FT-IR analysis, X-ray diffraction analysis, TGA analysis, UV-Vis spectrophotometer. Data are available in a compressed .zip file with 1 folder (Hydrolytic enzyme immobilization and triggering_v1.0_TER_WP4_D4.1_D4.3) containing 6 files, 4 .xlsx files containing the FT-IR, XRD, TGA, Enzyme release kinetics and Thermostability raw data, 1 .pdf file describing the experimental methods and materials and a second .pdf file outlining the metadata and information.</p> <p>1_Hydrolytic enzyme immobilization and triggering _FTIR.xlsx contains all the FTIR raw data and curves of the Immobilized enzyme systems prepared.</p> <p>2_Hydrolytic enzyme immobilization and triggering _XRD.xlsx contains all the XRD raw data and profiles of the Immobilized enzyme systems prepared.</p> <p>3_Hydrolytic enzyme immobilization and triggering _TGA.xlsx contains all the TGA raw data and curves of the Immobilized enzyme systems prepared.</p> <p>4_Hydrolytic enzyme immobilization and triggering release activity and thermal resistance.xlsx contains all the raw data and graphs related to the protein content, activity of the Immobilized enzyme systems prepared after release and the thermal stress experiment data.</p> <p>Materials and experimental method_D4.1_D4.3_Hydrolytic enzyme immobilization and triggering.pdf contains the details of the experimental method and conditions for the data acquisition presented in the data set.</p> <p>Metadata information for WP4 dataset_D4.1_D4.3_Hydrolytic enzyme immobilization and triggering.pdf includes more detailed metadata information for the dataset presented.</p>
Landslides from Space - Kumamoto Earthquake-triggered landslide, Japan (15th April 2016)
<p>The April 2016 Kumamoto earthquake in Japan triggered a huge landslide. This landslide appeared close to the village Tateno (Minamiaso, Aso District) and burried a railway line, a highway and destroyed a bridge.</p> <p>The pre-event acquisition is from 3rd March 2016 (Sentinel-2) and the post-event acquisition is from 25th May 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Kaikoura Earthquake-triggered Landslides, New Zealand (14th November 2016)
<p>On 14th November 2016 an earthquake with a maginitude of 7.8 triggered multiple landslides. Especially the village of Kaikoura was affected as it was cut off from the rest of New Zealand when its main road, State Highway 1. was blocked through multiple rockfalls and landslides.<br> <br> The pre-event acquisition is from 14th September 2016 (Sentinel-2) and the post-event acquisition is from 15th December 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Type III interferons may suppress viral infections by triggering cell death -- Imaging Dataset
<p>This dataset accompanies the article "Type III interferons may suppress viral infections by triggering cell death". Earlier version is available as a preprint, <a href="https://doi.org/10.1101/2024.09.09.612051" target="_blank" rel="noopener">https://doi.org/10.1101/2024.09.09.612051</a>. The updated dataset includes quantifications for Figure 7C and Figure 7D.</p>
Source data for publication "Bacteria use exogenous peptidoglycan as a danger signal to trigger biofilm formation"
<p><strong>This dataset contains the source data for the figures in the following publication: </strong></p> <p><strong>Title: </strong>Bacteria use exogenous peptidoglycan as a danger signal to trigger biofilm formation</p> <p><strong>Authors: </strong>Sanika Vaidya, Dibya Saha, Daniel K.H. Rode, Gabriel Torrens, Mads F. Hansen, Praveen K. Singh, Eric Jelli, Kazuki Nosho, Hannah Jeckel, Stephan Göttig, Felipe Cava, Knut Drescher</p> <p><strong>Journal: </strong>Nature Microbiology, 2025</p> <p> </p> <p><strong>Description of the dataset: </strong></p> <p>The data is organized by figures in the publication receferenced above. For each figure, there is a XLSX-file that contains the processed data and a ZIP-archive that contains the raw image data. The ZIP-archive also contains readme documents with more detailed descriptions for every set of raw image data. </p> <p>Example: For Figure 1 in the main text of the publication, there following data are available:</p> <ul> <li>raw data: Figure_01.zip</li> <li>processed data: Processed_Source_Data_Figure1.xlsx</li> </ul> <p>Similarly, XLSX-files and ZIP-archives are available for the main text Figures 1-6. For the Extended Data (ED) Figures 1-10, there are XLSX-files available that present the data shown in each figure. Only some of the Extended Data Figures present results based on image data - therefore raw image data ZIP-archives are only available for ED Figures 3, 6, 7, 8, 9, 10.</p>
Optical tweezer platform for the characterization of pH-triggered colloidal transformations in the oleic acid/water system
<p>Hypothesis: Soft colloidal particles that respond to their environment have innovative potential for many fields ranging from food and health to biotechnology and oil recovery. The in situ characterisation of colloidal transformations that triggers the functional response remain a challenge.</p> <p>Experiments: This study demonstrates the combination of an optical <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/micromanipulation">micromanipulation</a> platform, polarized optical video microscopy and <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/microfluidics">microfluidics</a> in a comprehensive approach for the analysis of pH-driven structural transformations in emulsions. The new platform, together with <a href="https://www.sciencedirect.com/topics/physics-and-astronomy/synchrotron">synchrotron</a> small angle X-ray scattering, was then applied to research the food-relevant, pH-responsive, <a href="https://www.sciencedirect.com/topics/chemistry/oleic-acid">oleic acid</a> in water system.</p> <p>Findings: The experiments demonstrate structural transformations in individual oleic acid particles from micron-sized onion-type multilamellar oleic acid vesicles at pH 8.6, to nanostructured emulsions at pH < 8.0, and eventually oil droplets at pH < 6.5. The smooth particle-water interface of the onion-type vesicles at pH 8.6 was transformed into a rough particle surface at pH below 7.5. The pH-triggered changes of the interfacial tension at the droplet-water interface together with mass transport owing to structural transformations induced a self-propelled motion of the particle. The results of this study contribute to the fundamental understanding of the structure–property relationship in pH-responsive emulsions for nutrient and drug delivery applications.</p>
Variation in Detected Adverse Events using Trigger Tools: A Systematic Review and Meta-Analysis
<p>Raw data sets for the meta-analysis.</p> <p>Data collection file with all the information extracted from the included studies.</p> <p>QAT file with the information from the quality assessment tool (QAT) for all included studies.</p> <p>ReadMe with information on data sets and updates.</p> <p>Codebooks for both data sets.</p>
Data from: "Non-metabolizable" glucose analogue shines new light on priming mechanisms: Triggering of microbial metabolism
<p>Raw data for the article:</p> <p>Kyle Mason-Jones*, Yakov Kuzyakov (2017)<br> “Non-metabolizable” glucose analogue shines new light on priming mechanisms: Triggering of microbial metabolism</p> <p>Soil Biology and Biochemistry 107, 68-76</p> <p>https://doi.org/10.1016/j.soilbio.2016.12.015</p> <p>* corresponding author: kmasonj@gwdg.de</p>
Inventory of landslides triggered by heavy rainfall in the Emilia-Romagna region (Italy) in May 2023
<p>The dataset contains 49103 landslides, that were manually mapped by visual inspection of pre- and post-event satellite images in an area of 8981 km2. Such images are acquired by PlanetScope satellites (<a href="https://www.planet.com/">https://www.planet.com/</a>) and are provided under an academic license; 3-m resolution multiband tiles are used.</p> <p>Pre-event imagery refers to the Monthly Global Basemap products provided by Planet, the April 2023 Basemap was used. Post-event images were acquired between 22 May and beginning of June 2023. The cloud-free image closer to the event was used and multi-temporal frames were checked in selected areas (e.g., due to the presence of shadows or unclear images). Images are accessed through the Planet QGIS Plugin.</p> <p>This dataset supersedes version 1, since it represents its update; major changes include:</p> <ul> <li>mapping over a wider area (8981 vs 5764 km2);</li> <li>check on the landslides mapped in version 1 located on flat slopes (lower than 5°); removal of polygons associated with river erosion and not due to gravity movements</li> </ul> <p> </p> <p>NOTES ON VERSION 1</p> <p>landslides were manually mapped at a scale of 1:5.000 by a single operator in a time interval of 5 weeks following the rainfall event; the inventory (version 1.0) was completed on 28 June 2023. Please note that data did not undergo any kind of validation.</p> <p>Data are provided in shapefile format (coordinate system WGS84 UTM 32N) and in kml format.</p> <p>The main dataset is the “Emilia landslides” shp/kml file; the “area” shapefile refers to the investigated area; the “riverbank and agricultural fields” files include polygons that were mapped but refer either to river courses having high discharge in the post-event images, or to color changes probably due to farming activities or the evolution of agricultural fields. The “riverbank and agricultural fields” elements should not refer to slope movements, and usage of these data is not recommended, unless a validation is made.</p>
Webis Trigger Warning Corpus 2023
<p><strong>Abstract </strong>A trigger warning or a content warning is intended to enable individuals to make an informed decision about whether to expose themselves to potentially distressing content. We introduce trigger warning assignment as a multilabel classification task and create the Webis Trigger Warning Corpus (WTWC), the first dataset of 1 million fanfiction works from the Archive of our Own with up to 36 different warnings per document. To provide a reliable catalog of trigger warnings, we carefully mapped institutionally-recommended trigger warnings against the millions of free-form tags assigned by fanfiction authors and organized them into the first comprehensive taxonomy of trigger warnings.</p> <p> </p> <p><strong>Code for dehydration </strong>https://github.com/webis-de/ACL-23</p> <p> </p> <p><strong>Cite </strong></p> <pre>@InProceedings{wiegmann:2023a, address = {Toronto, Canada}, author = {Matti Wiegmann and Magdalena Wolska and Christopher Schr{\"{o}}der and Ole Borchardt and Benno Stein and Martin Potthast}, booktitle = {Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, month = jul, publisher = {Association for Computational Linguistics}, title = {{Trigger Warning Assignment as a Multi-Label Document Classification Problem}}, year = 2023 } </pre> <p> </p>
Research data supporting for Stress-induced amorphization triggers deformation in the lithospheric mantle
<p>Original TEM micrographs used to prepare the figures of the article</p>
Molecular dynamic trajectory of magnesium binding wild type for the article "Ca 2+ binding to F-ATP synthase β subunit triggers the mitochondrial permeability transition"
<p>ATP synthase molecular dynamics simulations files for wild type of the beta subunit binding magnesium:</p> <p>50ns trajectory (ATPsynth_woh2o_Mg_wt.dcd) and corresponding psf file (ATPsynth_mg_wt.psf)</p>
Molecular dynamic trajectory of calcium binding T163S mutant for the article "Ca 2+ binding to F-ATP synthase β subunit triggers the mitochondrial permeability transition"
<p>ATP synthase molecular dynamics simulations files for T163S mutants of the beta subunit binding calcium:</p> <p>50ns trajectory (ATPsynth_woh2o_Ca_mut.dcd) and corresponding psf file (ATPsynth_ca_mut.psf)</p>
Molecular dynamic trajectory of calcium binding wild type for the article "Ca 2+ binding to F-ATP synthase β subunit triggers the mitochondrial permeability transition"
<p>ATP synthase molecular dynamics simulations files for wild type of the beta subunit binding calcium:</p> <p>50ns trajectory (ATPsynth_woh2o_Ca_wt.dcd) and corresponding psf file (ATPsynth_ca_wt.psf)</p> <p> </p>
Molecular dynamic trajectory of magnesium binding T163S mutant for the article "Ca 2+ binding to F-ATP synthase β subunit triggers the mitochondrial permeability transition"
<p>ATP synthase molecular dynamics simulations files for T163S mutants of the beta subunit binding magnesium:</p> <p>50ns trajectory (ATPsynth_woh2o_Mg_mut.dcd) and corresponding psf file (ATPsynth_mg_mut.psf)</p> <p> </p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.