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89 results for “Spark”
LMU Fast Decompression Experiment Data for "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows"
<p><strong>Background</strong></p> <p>This data is camera images and nozzle pressure gauge voltage traces from rapid decompression shots at the LMU shock tube facility.</p> <p>This data is discussed in the "Materials and Methods" section of the paper "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows".</p> <p>Electric sparks and explosive flows have long been associated with each other. Flowing dust particles originate charge through contact and separate based on inertia, resulting in strong electric fields supporting sparks. These sparks can cause explosions in dusty environments, especially those rich in carbon, such as coal mines and grain elevators. Recent observations of explosive events in nature and decompression experiments indicate that supersonic flows of explosions may alter the electrical discharge process. Shocks may suppress parts of the hierarchy of the discharge phenomena, such as leaders. In our decompression experiments, a shock tube ejects a flow of gas and particles into an expansion chamber. We imaged an illuminated plume from the decompression of a mixture of argon and <100 mg of diamond particles and observe sparks occurring below the sharp boundary of a condensation cloud. We also performed hydrodynamics simulations of the decompression event that provide insight into the conditions supporting the observed behavior. Simulation results agree closely with the experimentally observed Mach disk shock shape and height. This represents direct evidence that the sparks are sculpted by the outflow. The spatial and temporal scale of the sparks transmit an impression of the shock tube flow, a connection that could enable novel instrumentation to diagnose currently inaccessible supersonic granular phenomena.</p> <p><strong>Accessing Data</strong></p> <p>The prefixes of the filenames correspond to the shot dates and times listed in table S1 of the paper. </p> <p>The "_camera.zip" files contains tiff images of the camera frames. The ".ixc" file in each zip lists camera settings in plain text.</p> <p>The ".dat" file contains the voltage measurement of the nozzle pressure gauge. Row 1 is the header, row 2 is the time in seconds, and row 3 is the voltage of the pressure gauge in Volts. The peak pressure in the header can be used to relate the voltage to pressure.</p>
Compressible Hydrodynamics Simulation Data for "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows"
<p><strong>Background</strong></p> <p>This data is a 2D cross-section from a 3D compressible hydrodynamics simulation (Hyburn / AMRex code) of a rapid decompression / shock tube experiment at Special Technologies Laboratory. The simulated shot is a pure argon gas decompression from 1000Psi to atmosphere. </p> <p>This data is used in figures 3 and 5 of the paper "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows".</p> <p>Electric sparks and explosive flows have long been associated with each other. Flowing dust particles originate charge through contact and separate based on inertia, resulting in strong electric fields supporting sparks. These sparks can cause explosions in dusty environments, especially those rich in carbon, such as coal mines and grain elevators. Recent observations of explosive events in nature and decompression experiments indicate that supersonic flows of explosions may alter the electrical discharge process. Shocks may suppress parts of the hierarchy of the discharge phenomena, such as leaders. In our decompression experiments, a shock tube ejects a flow of gas and particles into an expansion chamber. We imaged an illuminated plume from the decompression of a mixture of argon and <100 mg of diamond particles and observe sparks occurring below the sharp boundary of a condensation cloud. We also performed hydrodynamics simulations of the decompression event that provide insight into the conditions supporting the observed behavior. Simulation results agree closely with the experimentally observed Mach disk shock shape and height. This represents direct evidence that the sparks are sculpted by the outflow. The spatial and temporal scale of the sparks transmit an impression of the shock tube flow, a connection that could enable novel instrumentation to diagnose currently inaccessible supersonic granular phenomena.</p> <p><strong>Accessing Data</strong></p> <p>The data is saved as python numpy zipped archives numbered by the timestep in the simulation. Files starting with 'tube' contain data from inside the shock tube. Files starting with 'near_vent' contain data from the expansion chamber above the nozzle. All units are in SI.</p> <p>Each .npz file is an array file generated with python numpy.savez(). It can be opened with:</p> <p><em>import numpy as np</em></p> <p><em>data = np.load('<name>.npz')</em></p> <p>The data is an python dictionary. The dictionary keys can be displayed with:</p> <p><em>print(data.files)</em></p> <p>The numpy arrays can be accessed by keyname:</p> <p><em>print(data['keyname'])</em></p> <p>The key names correspond to physical quantities (density, temperature, etc.). All particle quantities are 0 as the simulation did not include particles.</p>
Dataset: A database of near-field head-related transfer functions based on measurements with a laser spark source
<p>This is a database of near-field head-related transfer functions (HRTFs) of an artificial head, measured at four distances (0.2, 0.3, 0.4 and 0.5 m), with 49 positions recorded at each distance, for a total of 196 measurement points. The HRTFs were recorded using an acoustic pulse created by a laser-induced breakdown of air (LIB), which realizes a close to ideal, massless, monopole sound source. The repository contains the original measurement data (raw_data.zip), the derived HRTFs both with (NF_LIB_HRTF_LFE.sofa) and without (NF_LIB_HRTF_measured.sofa) a low-frequency extension (LFE) applied, as well as the MATLAB code used to process the measurement data and to apply the LFE (LIB_HRTF_DB.zip). The database is made publicly available to support future research into nearby sound localization, and virtual/augmented reality applications.</p> <p>Please see the accompanying paper for further details: Marschall et al. (2023), <a href="https://doi.org/10.1016/j.apacoust.2022.109173">A database of near-field head-related transfer functions based on measurements with a laser spark source</a>, Applied Acoustics. </p>
Ionization rate simulation data for "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows"
<p><strong>Background</strong></p> <p>This is a set of 3d data containing ionization rates computed from Hyburn hydrodynamic simulations contained in a Matlab .mat file, along with a plot in both .png and Matlab .fig format, and a Matlab script for plotting.</p> <p>This data is used in figure 5 of the paper "Standing Shock Prevents Propagation of Sparks in Supersonic Explosive Flows".</p> <p>Electric sparks and explosive flows have long been associated with each other. Flowing dust particles originate charge through contact and separate based on inertia, resulting in strong electric fields supporting sparks. These sparks can cause explosions in dusty environments, especially those rich in carbon, such as coal mines and grain elevators. Recent observations of explosive events in nature and decompression experiments indicate that supersonic flows of explosions may alter the electrical discharge process. Shocks may suppress parts of the hierarchy of the discharge phenomena, such as leaders. In our decompression experiments, a shock tube ejects a flow of gas and particles into an expansion chamber. We imaged an illuminated plume from the decompression of a mixture of argon and <100 mg of diamond particles and observe sparks occurring below the sharp boundary of a condensation cloud. We also performed hydrodynamics simulations of the decompression event that provide insight into the conditions supporting the observed behavior. Simulation results agree closely with the experimentally observed Mach disk shock shape and height. This represents direct evidence that the sparks are sculpted by the outflow. The spatial and temporal scale of the sparks transmit an impression of the shock tube flow, a connection that could enable novel instrumentation to diagnose currently inaccessible supersonic granular phenomena.</p> <p><strong>Accessing Data</strong></p> <p>The .mat file can be opened in Matlab to examine data. The 3d arrays contained therein can be viewed in various ways, including using the enclosed script with syntax like plot_isosurfaces(xg,yg,zg,density,max(density(:)),pressure,max(pressure(:))) to produce the included isosurface plot.</p> <p>The data arrays contained are:</p> <p>e: electric field magnitude</p> <p>alpha: ionization rate lengths: ionization lengths (equal to 1/alpha)</p> <p>eOverN: electric field divided by gas number density</p> <p>alphaOverN: ionization rate divided by gas number</p> <p>density density: gas mass density</p> <p>pressure: gas pressure</p> <p>x,y,z: spatial coordinates</p> <p>xg,yg,zg: spatial coordinates in 3d meshgrid format, for Matlab plotting</p> <p>The electric field e was artificially generated from velocities in Hyburn output; alpha was computed from BOLSIG+ with Hyburn input; density and pressure data were from Hyburn.</p> <p> </p>
Dataset for the publication: Potential of alcohol fuels in active and passive pre-chamber applications in a passenger car spark-ignition engine
<div> <p>The dataset covers the research data of the publication "Potential of alcohol fuels in active and passive pre-chamber applications in a passenger car spark-ignition engine" in International Journal of Engine Research (DOI: 10.1177/14680874211053168).</p> </div>
Figure 44. Coccorchestes spark Lin & Li in Thirty-eight spider species (Arachnida: Araneae) from China, Indonesia, Japan and Vietnam
Figure 44. Coccorchestes spark Lin & Li, sp. nov., paratype female. A. Epigyne, ventral view; B. Vulva, dorsal view. Abbreviations: BG—Bennett's gland; CD—copulatory duct; CO—copulatory opening; FD—fertilization duct; GA—glandular appendage; MS— median septum; S—spermatheca. Scale bars = 0.1 mm.
Figure 43. Coccorchestes spark Lin & Li in Thirty-eight spider species (Arachnida: Araneae) from China, Indonesia, Japan and Vietnam
Figure 43. Coccorchestes spark Lin & Li, sp. nov., holotype male. A. Left palp, ventral view; B. Same, retrolateral view. Red arrow shows the retrolateral tibial apophysis outgrowth. Abbreviations: E—embolus; ED—embolic disc; SD—sperm duct; RTA— retrolateral tibial apophysis. Scale bars = 0.1 mm.
Figure 50. Coccorchestes spark Lin & Li in Thirty-eight spider species (Arachnida: Araneae) from China, Indonesia, Japan and Vietnam
Figure 50. Coccorchestes spark Lin & Li, sp. nov., alive. A, C. Holotype male; B, D. Paratype female. Photo by Danyang Zhou.
Global Spark Plug Tarkov Market 2024 to 2033
<p><a href="https://www.custommarketinsights.com/report/spark-plug-tarkov-market/" target="_blank" rel="noopener">Spark Plug Tarkov Market Size</a>, Trends and Insights By Product Type (Spark Plugs, Glow Plugs), By Electrode Material (Copper, Platinum, Iridium), By Sales Channel (OEM (Original Equipment Manufacturer), Aftermarket), By Application (Passenger Vehicles, Commercial Vehicles, Two-Wheelers), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p><strong>Reports Description</strong></p> <p>According to current market research conducted by the CMI Team, the global <a href="https://www.custommarketinsights.com/report/spark-plug-tarkov-market/" target="_blank" rel="noopener"><strong>Spark Plug Tarkov Market</strong></a> is expected to record a CAGR of <strong>6.1%</strong> from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD <strong>11.9 Billion</strong>. By 2033, the valuation is anticipated to reach USD <strong>20.9 Billion</strong><strong>.</strong></p> <p>The general outlook on the spark plug market is positive and supported by several drivers. The global increase in vehicle production, especially in Asia Pacific, would suffice the demand for spark plugs, mainly for gasoline-vehicle usage.</p> <p>Another factor that will also improve performance and service lifetime increases in efficiency for the spark plug, such as more durable materials similar to those utilized in platinum and iridium, are customers who continue to seek efficiency.</p> <p>However, a challenge to the market from the rising popularity of electric vehicles, which don’t use traditional spark plugs, poses a potential long-term reduced demand. On the other hand, an increasing aftermarket for replacement parts and heightened vehicle maintenance sensibilities can be opportunities for manufacturers. Overall, such technological changes and regulatory variations cause the market to fluctuate, but more vehicle performance and awareness in maintenance will ensure a smooth growth pattern in the future.</p> <p>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=59290" target="_blank" rel="noopener">https://www.custommarketinsights.com/request-for-free-sample/?reportid=59290</a></p>
SNSF Spark project "Sonic Imagination" – Excerpts of recorded evaluation interviews
<p>We aimed to investigate the hypothesis that virtual sound sources in audio augmented environments are particularly suitable for triggering and directing imaginations within human inner perception. Our hypothesis was that the binaural listening to imaginary entities at the place of recording (so to speak 'in-situ') enhances the imagination in a special way, since sound as a non-visual medium favours the creation of images in human inner perception. We narrowed down our research question especially in regards to our practical experimentations to possible applications in areas that rely on the guided creation of individual or intersubjective imaginations, such as urban planning and scenario development, certain forms of trauma therapy, as well as audiovisual art and fiction.</p> <p>Further information: </p> <p><a href="https://www.ludwigzeller.net/projects/sonic-imagination/">https://www.ludwigzeller.net/projects/sonic-imagination/</a></p> <p><a href="https://p3.snf.ch/project-195868">https://p3.snf.ch/project-195868</a></p> <p> </p>
Integration of Skyline Queries into Spark SQL - Experiment Artifacts
<p>This repository contains the artifacts for the paper "Integration of Skyline Queries into Spark SQL" published at the 2023 EDBT conference. Here, we publish our binaries, benchmark data, queries, and additional scripts used in the experimental evaluation.</p>
Dataset: Spark I Acquisition Corporation (SPKLU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Spark I Acquisition Corporation (SPKLW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Spark I Acquisition Corporation (SPKL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Sparks et al, Heterogeneity in tumor chromatin-doxorubicin binding revealed by in vivo fluorescence lifetime imaging confocal endomicroscopy: In vitro data
<p>Data is divided into three folders:</p> <ul> <li>Sparks_et_al_FIG2_Histone_vs_free_GFP <ul> <li>data for Sparks et al Figure 2</li> <li>main text section: <em>'FRET between chromatin-bound GFP and doxorubicin'</em></li> </ul> </li> <li>Sparks_et_al_FIG3_in_vitro_dose_response <ul> <li>data for Sparks et al Figure 3#</li> <li>main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em></li> </ul> </li> <li>Sparks_et_al_SuppFIG2_endoscope_spectral_cross_talk <ul> <li>data for Sparks et al Supplementary Figure 2</li> <li>Supplementary information</li> </ul> </li> </ul> <p><strong>Cell lines</strong></p> <p>IGROV-1 cell lines were cultured in CO<sub>2</sub> dependent media with 10% fetal bovine serum and 1% Pen Strep at 37 ˚C. Before experiments, cells were grown to 80% confluence. For measuring doxorubicin uptake by fluorescence an IGROV-1 cell line stably expressing GFP fused to Histone-1 (H1) was made using the PiggyBac transposon system. As a control to show that effect of doxorubicin on GFP depends on whether it is fused to H1 or not, a stable whole cell expression of GFP by lentiviral transfection and selection by Geneticin was made. For bioluminescence imaging of xenograft tumors, all IGROV-1 cell lines were made to stably express firefly luciferase.</p> <p>To investigate the effect of doxorubicin on other histones, IGROV-1 cells were transiently transfected with a Histone-2B-GFP plasmid (gift from Kurt Anderson) using the Lipofectamine® 2000 reagent.</p> <p>IGROV-1 cells were obtained from Crick institute cell services and confirmed as IGROV-1 by Short Tandem Repeats (STR) profiling and no mycoplasma was detected.</p> <p><strong>In vitro experiments</strong></p> <p>IGROV-1 cells were grown to 80% confluence in 75 ml flasks before being re-plated in 12 or 24 well plates or 35 ml glass bottomed dishes and allowed to attach to the surface for 24 hours before experiments.</p> <p>To study how the fluorescence of GFP labelled H1 labelled IGROV-1 cells changes with doxorubicin treatment, fluorescence intensity and lifetime distributions were measured from cells after 3 hours of incubation with doxorubicin of varying concentrations (0, 0.18, 0.9, 1.8, 9, 18 µM) by serial dilutions of a stock solution with PBS. After 3 of hours, cells were washed in PBS then fixed for 20 minutes in 4% PFA. Cells were then imaged in PBS. Doxorubicin hydrochloride (Sigma-Aldrich, D1515-10 mg) was dissolved in PBS to a concentration of 9 mM and stored at -20˚C.</p>
Sparks et al, Heterogeneity in tumor chromatin-doxorubicin binding revealed by in vivo fluorescence lifetime imaging confocal endomicroscopy: in vivo data
<p>Data is divided into three folders:</p> <ul> <li>Sparks_et_al_FIG_6_IP_intranodule_heterogeneity <ul> <li>data for Sparks et al Figure 6</li> <li>main text section: <em>'FRET between chromatin-bound GFP and doxorubicin'</em></li> </ul> </li> <li>Sparks_et_al_FIG4_5_6_IP_IV_chemo_comparison <ul> <li>data for Sparks et al Figures 4,5 & 6</li> <li>main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em></li> </ul> </li> <li>Sparks_et_al_FIG6_IP__internodule_heterogeneity <ul> <li>data for Sparks et al Figure 6</li> <li>main text section: <em>'Intra-tumor heterogeneity'</em></li> </ul> </li> </ul> <p><strong>In vivo experiments</strong></p> <p>Murine xenografts were prepared by intraperitoneal (IP) injection of IGROV-1 cancer cells. IGROV-1 cells were grown to 80% confluence before being trypsinized and re‑suspended in PBS at a concentration of cells per ml. cells were injected into ICRF nude mice. After 14 days post-injection, the presence of intraperitoneal tumors was confirmed by bioluminescence imaging. Briefly, an IVIS bioluminescence imaging system was used to image isoflurane anesthetized mice. 100 µl of D-luciferin (luciferase substrate) at 30mg ml<sup>-1</sup> was injected IP 10 minutes before recording of bioluminescence images. The presence of peritoneal tumors was confirmed if bioluminescence signals from the peritoneum were above background noise 10-30 minutes after D‑luciferin injections. Following confirmation of tumors, in vivo fluorescence imaging experiments were carried out after 21 days. To study differences in drug uptake between intravenous or intraperitoneal delivery, prior to imaging mice were subject to IP or IV doxorubicin-based chemotherapy for 1.5, 3 or 24 hours. Imaging involved terminal procedures, mice were anesthetized then peritoneal tumors were exposed by minor surgery and inspected with the CEM.</p> <p>All animal model procedures were approved by The Francis Crick Institute Biological Ethics Committee and UK Home Office authority provided by Project License 70/8380.</p> <p> </p> <p> </p>
Spark application traces of the run of 9 differents instance of BigDataBench applications
<p>Spark application logs of the run of 9 different instances of BigDataBench applications. Each run was done with an input size in GB of 32, 64, 128 and with 4, 8, 16 executor respectively. There were 2 executors per node; so, it runs on 2, 4, and 8 nodes + a master node for Hadoop services.</p> <p>The input data were generated with the Data generator provided by BigDataBench using this procedure:</p> <p>https://gitlab.inria.fr/mmercier/bebida/blob/master/experiments/generate_dataset/journal.md</p> <p>List of the applications and their parameters:</p> <ul> <li>Grep: <ul> <li> parameter: "word"</li> </ul> </li> <li>WordCount <ul> <li> no parameters</li> </ul> </li> <li>Kmean: <ul> <li> parameter: "4 3" input size in GB: "32, 64, 128"</li> </ul> </li> </ul> <p>BigDataBench implementation can be downloaded here: http://prof.ict.ac.cn/download.html</p> <p>It was run on Debian 8, with Spark 2.1.0, on top of Hadoop 2.7.1 with Yarn and HDFS, using openjdk-7-jre-headless.</p> <p>All the details of the environment can be found here:</p> <p>https://gitlab.inria.fr/mmercier/bebida/blob/master/environments/bebida-slave.yaml</p> <p>The experiment in itself is described here:</p> <p>https://gitlab.inria.fr/mmercier/bebida/tree/master/experiments/run_big_data_workload</p> <p>All nodes Hardware description of the nodes:</p> <p>https://public-api.grid5000.fr/stable/sites/nancy/clusters/graphene/nodes.json?pretty=1</p> <p>They can be visualized using the Spark History server.</p>
Implementation of Genomic Variant Calling Using GATK4, SPARK, WDL, CROMWELL and DOCKER Over Simulated Ebola NGS Dataset.
<p>Ebola genome is manually mutated to contain non-structural as well as structural variants. One ebola genome contains non-structural variants - 10 SNPs, 10 INDELs, 05 TRANSLOCATIONs, 05 INSERSIONs and their reverse complements. Similarly, other two set of mutated genomes contain structural variants. Each set contains seven mutated ebola genome each one for large deletion, insertion, duplication, translocation, inversion, complex variant1 (consecutive three mutations - insertion, duplication and deletion) and complex variants2 (consecutive three mutations - deletion, duplication and deletion). All insertions are novel sequence insertion.</p> <p> </p>
Moral Judgments in Narratives on Reddit: Investigating Moral Sparks via Social Commonsense and Linguistic Signals
<ol> <li>The file 'post_instances.jsonl' contains instances extracted from specific posts. In this file, instances that contain moral sparks are labeled as '1,' while others are labeled differently or as '0.'</li> <li>Each instance is scraped by using PushShift API by searching for an unique id. And each instance contains its comment ids that use ">" to quote excerpts in a post. We removed author names and make it left with ids and contexts. The "label" field is computed by using regular expressions to match predefined r/AmItheAsshole verdict codes.</li> <li>The sup_documents.pdf includes full lists of c-event clusters and parameters of linguistic features used in our paper.</li> <li>The regular expressions used to extract the verdicts are as follows:AUTHOR = (0, 'YTA', [<br> r'\m(?i:YWBTA?)\M',<br> r'\m(?i:YTAH?)\M',<br> r"(?e)(?i:"<br> r"you(?:'re| r| are| were| would be| will be) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r"(?:an? |the )?"<br> r"(?:huge |big |giant )?"<br> r"(?:asshole|a-?hole)"<br> r"){e<=1}",<br> r"(?e)(?i:"<br> r"you "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r"(?: r| are| were)? (?:an? |the )?"<br> r"(?:huge |big |giant )?"<br> r"(?:asshole|a-?hole)"<br> r"){e<=1}"<br> ])<br> OTHER = (1, 'NTA', [<br> r'\m(?i:YWNBTA?)\M',<br> r'\m(?i:Y?NTAH?)\M',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were| would| will) "<br> r"(?!both)"<br> r'(?:not| not be) '<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:an? |the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"(he|she)(?:'s|s| s| is| was)"<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:an? |the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"they(?:'re|r| r| are| were)"<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:the )?'<br> r"(?:asshole|a-?hole)"<br> r'){e<=1}'<br> ])<br> EVERYBODY = (2, 'ESH', [<br> r'\m(?i:ESH)\M',<br> r'(?e)(?i:every(?:one|body) sucks here){e<=1}',<br> r'(?e)(?i:you both suck){e<=1}',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'both (?:the )? (?:assholes?|a-?holes?)){e<=1}',<br> r'(?e)(?i:'<br> r"you both"<br> r"(?:'re| r| are| were)? "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:the )?'<br> r"(?:assholes?|a-?holes?)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"there(?: r| are| were)(?: any| all) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:assholes?|a-?holes?)){e<=1}'<br> <br> ])<br> NOBODY = (3, 'NAH', [<br> r'\m(?i:NAH?H)\M',<br> r'(?e)(?i:no (?:assholes|a-?holes|asshole) here)',<br> r'(?e)(?i:no one is the (?:asshole|a-?hole)){e<=1}',<br> r'(?e)(?i:'<br> r"you both"<br> r"(?:'re| r| are| were)? "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'not (?:an? |the )?'<br> r"(?:assholes?|a-?holes?)"<br> r'){e<=1}',<br> r'(?e)(?i:'<br> r"you(?:'re| r| are| were) "<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'both not (?:an? |the )? (?:assholes?|a-?holes?)){e<=1}',<br> r'(?e)(?i:'<br> r"you "<br> r"both(?: weren't| aren't)? (?:an? |the )? (?:assholes?|a-?holes?)){e<=1}",<br> r'(?e)(?i:'<br> r"there(?: r| are| were)"<br> r' no '<br> r"(?:(?:kind|sort) of |really |indeed |just |definitely |exactly |absolutely |certainly |obviously )?"<br> r'(?:assholes?|a-?holes?)){e<=1}'<br> ])<br> INFO = (4, 'INFO', [<br> r'\m(?i:INFO)\M',<br> r'(?e)(?i:not enough info){e<=1}',<br> r'(?e)(?i:needs? more info){e<=1}',<br> r"(?e)(?i:more info(?:'s| is)? required){e<=1}"<br> ])</li> </ol> <p> </p>
SPARK-23435 test builds.
Commit hash c7ed64af9e697b3619779857dd820832176b3be3SPARK-23435-c7ed64af9e697b3619779857dd820832176b3be3 Environment: - https://hub.docker.com/layers/zero323/sparkr-build-sandbox/3.4.4/images/sha256-ec9032f8cf98fd6083938cfcfd6760751f00c5177238d56646c48d9682643e77 - https://hub.docker.com/layers/zero323/sparkr-build-sandbox/3.5.3/images/sha256-0b1759ee4d1d77bfae5c72537e764c3aa04536843e3dfeb046ccb66bc1e7b7d0 - https://hub.docker.com/layers/zero323/sparkr-build-sandbox/3.6.2/images/sha256-6594c8ceb72f49f880b44c6b4e42b766a5b25943b81093e9d8bc7a62148398f6
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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.