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1,919 results for “trigger”
Trojan Detection Challenge - Analysis Track (Trigger Synthesis) Dataset
<p>This contains the dataset for the trigger synthesis subtrack of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This contains the same files as the trigger_synthesis folder in the full dataset Zenodo record, which can be found <a href="https://zenodo.org/record/6894041#.Yxl6x3XMJyM">here</a>, and it also contains the test networks. To download the test networks alone, the test set Zenodo record for the trigger synthesis track can be found <a href="https://zenodo.org/record/7217600">here</a>.</p>
Trojan Detection Challenge - Analysis Track (Trigger Synthesis) Test Set
<p>This contains the test set for the trigger synthesis track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full trigger synthesis track Zenodo record, which can be found <a href="https://zenodo.org/record/7213751">here</a>.</p>
Labile Carbon Triggers Microbial Priming of Deep Peat Carbon Breakdown Unveiled by Coupled DNA SIP-Metabolomics : NMR raw data
<p>METHODS:</p> <p>180 µL of each DOM sample (two depths, 3 treatments (control, labeled glucose, unlabeled glucose,) and 6 times points (7, 14, 28, 42, 56, and 70 days); n=36) were combined with 2,2-dimethyl-2-silapentane- 5-sulfonate-d6 (DSS-d6) in D2O (20 µL, 5 mM) and thoroughly mixed prior to transfer to 3mm NMR tubes. NMR spectra were acquired on a Varian 600 MHz VNMRS spectrometer equipped with a 5-mm triple-resonance (HCN) cold probe at a regulated temperature of 298K. The 90° 1H pulse was calibrated prior to the measurement of each sample. The one-dimensional (1D) 1H spectra were acquired using a nuclear Overhauser effect spectroscopy (NOESY) pulse sequence with a spectral width of 12 ppm and 512 transients. The NOESY mixing time was 100ms, and the acquisition time was 4s, followed by a relaxation delay of 1.5s during which pre-saturation of the water signal was applied. Time-domain free induction decays (57,472 total points) were zero filled to 131,072 total points prior to Fourier transform. Chemical shifts were referenced to the 1H methyl signal in DSS-d6 at 0 ppm. The 1D 1H spectra were manually processed, assigned metabolite identification, and quantified using Chenomx NMR Suite 8.3. Metabolite identification was based on matching the chemical shift, J-coupling, and the intensity of experimental signals to compound signals in the Chenomx and custom in-house databases. Quantification was based on fitted metabolite signals relative to the internal standard (DSS-d6). Signal-to-noise ratios (S/N) were measured using MestReNova 14 with the limit of quantification equal to an S/N of 10 and the limit of detection equal to an S/N of 3. 13C labeling was assessed by 13C satellite analysis from the 1D spectra described above or from a 1D-(13C-edited) HSQC experiment. In several cases further corroboration of metabolite identity was made using standard 2-D experiments such as 1H / 13C - heteronuclear correlation (HSQC) experiments or 2-D 1H/ 1H Total Correlation spectroscopy (TOCSY).</p> <p> </p> <p>FUNDING:</p> <p>This research was supported by U.S. Department of Energy Office of Science, Office of Biological and Environmental Research (BER), grant no. DE-SC0023297.</p>
Replay-triggered Brain-wide Activation in Humans
<p>The behavioural data, first-level and second-level fMRI statistical images, and EEG decoded time series are derived from "Replay-triggered brain-wide activation in humans". Please cite this paper if you use any of these data. </p> <p>Paper link:<br><a href="https://doi.org/10.1038/s41467-024-51582-5">https://doi.org/10.1038/s41467-024-51582-5 </a><br><br></p>
Antarctic Tipping points triggered by the mid-Pliocene warm climate
<p>Simulated Antarctic mPWP at 16 km resolution files for every AOGCM. </p> <p><strong>enh:</strong> enhancement factor</p> <p><strong>btq: </strong>friction exponent</p> <p><strong>cfrf: </strong>friction coefficient</p>
Datasets for triggered events
<p>datasets for aseismic and seismic events dynamically triggered by the 2023 Turkey earthquake sequence including InSAR observations, geodetic model, detected seismicity catalogs and seismic stations</p>
Observed Variation of Three-dimensional Return Stroke Speeds Along the Channel in a Triggered Lightning
<p>In a manuscript entitled “Observed Variation of Three-dimensional Return Stroke Speeds Along the Channel in a Triggered Lightning”, the lightning data obtained by the Photron SAZ high-speed video and an improved VHF location system were analyzed. The data of our results are including in the Fig_x.figs. These files can be opened by MATLAB. The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Broadband Characteristics of Chaotic Pulse Trains associated with Sequential Dart Leaders in a Rocket-Triggered Lightning Flash
<p>The data supports the paper entitled “<a href="https://doi.org/10.1029/2018JD029488">Broadband Characteristics of Chaotic Pulse Trains associated with Sequential Dart Leaders in a Rocket-Triggered Lightning Flash</a>” published in JGR-Atmospheres, and these files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.</p>
Structural Characteristics of Thunderstorms Associated with Triggered Lightning Flashes
Open the record for dataset details and reuse information.
Supplements for dynamically triggered events in the Caucasian Region
<p>the repository contains seismic data and related products (Table S1 and S2) used in studying dynamically triggered events in Caucasian Region. </p>
ELF/VLF data for Sprites, Gigantic Jets, and Rocket-Triggered Lightning
<p>This data set is broadband ELF and VLF data that shows transient events in the paper "ELF/VLF Radio Bursts Associated with Transient Luminous Events: Radio Metrics." These data are stored in files with two file types, '.mat' and '.bin'. The files encode recording parameters in the filename: these parameters are the Station (SS), UT start date (YYMMDD), and UT start time (HHMMSS). The '.mat' files are standard Matlab -V4 file format. The '.bin' files are data extracted from the original Matlab data file and also encode an offset time in seconds from the beginning of the originating file (ssss). Finally, all files indicate the antenna channel (ANT) with '_000' indicating magnetic north-south VLF, '_001' indicating magnetic east-west VLF, '_002' indicating magnetic north-south ELF, and '_003' indicating magnetic east-west ELF. All data is stored as short 16-bit signed integers. All VLF signals are sampled with 100 kHz sample rate. ELF at Arrival Heights (AH), Sondrestromfjord (SF), and Stanford Dish (SD) is sampled at 5 kHz. ELF at Chistochina (CH) and Palmer Station (PA) is sampled at 10 kHz. Using the nomenclature above, the '.mat' files are named: 'SSYYMMDDHHMMSS_ANT.mat'. The '.bin' files are named: 'SSYYMMDDHHMMSS_ssss_ANT.bin'.</p>
Fig. 6 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 6. Immunolocalization of callose in the sieve tube plates of the funiculus. The presence of callose in the sieve plates was evaluated in funiculus of normally developed seeds (N) of 23 and 25 DAA.Callose deposition was also evaluated in funicles of seeds that continued (L), or stopped their development (S) after three and five days after fruits of 20 DAA were detached from the plant. Panels A–C and G–I correspond to callose immunolocalization fluorescence (red), while panels D–F, and J–L show the bright field merged with callose immunolocalization fluorescence. Bar = 5 μm.
Fig. 2 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 2. Effect of nutrient restriction on the quality of the mature seeds. Protein (A) and starch (B) content, protein characteristics (C) and germination (D) of mature seeds developed under normal conditions (full bars and NC) or in fruits removed from the plant at 20 DAA (gray bars and R). For protein and starch, bars are the average ± SD, n = 5 independent determination. For germination, n = 3.
Fig. 8 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 8. Scanning electron microscopy images of the funiculus sieve plates. Sieve plates in the funiculus of normally (N) developed seeds of 23 (A) and 25 DAA (D), seeds that continued (L, panels B and E), and seeds that stopped their development (S, panels C and F) after the fruits had been detached from the plant for 3 and 5 days, respectively. Arrows indicate the progressive reduction in the pore size in the funiculus of seed that no longer developed in detached fruits. Bar = 0.5 μm.
Fig. 1 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 1. Effect of nutrient restriction on bean seed development. Pod dry weight (A), number (B) and dry weight (C) of seeds produced by fruit, and dry weight of individual seeds (D). Dotted bar correspond to fruits at 20 DAA, full and gray bar indicate fruits that reached physiological maturity attached to the plant, or removed from the plant at 20 DAA and incubated in the dark at 25 ̊C for 30 days, respectively. Bars are the average ± SD, n = 100. *** and ** indicate significant difference at P <.001 and 0.01, respectively as calculated by ANOVA statistical analysis for A, Mann–Whitney test for B, and t test for C and D.
Fig. 3 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 3. Analysis of carbohydrate concentration in the bean fruits. The concentration of sucrose (A and D), glucose (B and E) and fructose (C and F), was determined in placenta (PL), funiculus (FUN), seed coat (SC) and cotyledon (COT) of seeds developed under normal conditions (full bar) for 23 (A–C) and 25 DAA (D–F); and seeds that were able or not to continue their development (gray and empty bars, respectively) in fruits detached from the plant at 20 DAA and analyzed 3 (A–C) and 5 (D–F) days after, respectively. Bars correspond to the analysis of five fruits from different plants ± SD. NS, not significant difference, *, ** and *** indicate significant difference at P <.05, 0.01 and 0.001, respectively, as indicated by ANOVA statistical analysis.
Fig. 5 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 5. Analysis of sucrose distribution. Fruits incubated in sucrose [U-14C] were dissected (A), and the total incorporation in the placenta (PL), lower and upper funiculus (LF and UF, respectively), seed coat (SC) and cotyledon (C) sections was quantified (B). Full bars correspond to the analysis of fruits at 23 DAA developed under normal conditions. Gray bars indicate seeds that continued their development in fruits of the same age that were removed from the plant three days before the label experiment, and open bars indicate seed that did not continue their development in detached fruits. Bars correspond to the average of analysis of three biological replicates for placenta, funiculus and seed coat, and six for cotyledon ± SD. * and *** indicate significant differences at P <.05 and 0.001, respectively, as indicated by Kruskal–Wallis statistical analysis. Bar in panel A corresponds to 500 μm.
Fig. 7 in Nutritional restriction triggers callose accumulation on the sieve plates of the funiculus of developing bean seeds
Fig. 7. Quantification of the sieve plate thickness by callose immunodetection in the funiculus of developing seeds. Callose deposition in the funiculus of normally developed seeds of 23 and 25 DAA, and in seeds that continued (20 + 3 L and 20 + 5 L), or stopped their development (20 + 3S and 20 + 5S) after the fruits had been removed from the plant, was used to measure changes in the sieve plate thickness after 3 and 5 days following the detachment of the fruits from the plant. ** indicate significant differences at P ≤.01, according to Kruskal-Wallis and Dunn tests (n = 90 sieve plates per treatment).
Triggering Events, Opinion Leader Networks, and Framing Strategies of Climate Change on Chinese Social Media
Open the record for dataset details and reuse information.
Photo-triggered hydrogen atom transfer from an iridium hydride complex to unactivated olefins
<p>Data underlying the figures in the publication “Photo-triggered hydrogen atom transfer from an iridium hydride complex to unactivated olefins”, published in <strong><em>Chem. Sci.</em></strong>,<strong> 2020, </strong><strong>11</strong><strong>,</strong> 8582-8594. <a href="https://pubs.rsc.org/en/content/articlelanding/2020/sc/d0sc01820a#!divAbstract">https://pubs.rsc.org/en/content/articlelanding/2020/sc/d0sc01820a#!divAbstract</a></p> <p>Table of contents:</p> <p><strong>1. Figure 7</strong>; Excel file containing all raw data of <em>Figure 7</em>.</p> <p>Transient absorption spectrum of a solutions containing <strong>[Cp*Ir(phen)(H)](PF<sub>6</sub>)</strong> (0.5 mM) measured at different conditions (<em>Figure 7a</em> and <em>7b</em>); and absorption spectra of <strong>[Cp*Ir(phen)]<sup>0</sup></strong> (<em>Figure 7c</em>) and of TAA-OMe˙<sup>+</sup> (<em>Figure 7d</em>).</p> <p>Detailed conditions can be found in the publication.</p>
ScienceDex guides
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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.