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12,237 results for “2019”
Data and R code used in Delory et al (2019) The exotic species Senecio inaequidens pays the price for arriving late in temperate European grassland communities
<p>This is the first release of the data and R code used in Delory et al (2019) The exotic species Senecio inaequidens pays the price for arriving late in temperate European grassland communities.</p>
Processed TCGA pan-cancer data set used in the I-Boost paper (Wong et al. 2019)
<p>This data set contains the clinical and genomics data for 1,420 subjects analyzed in the paper: Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms. <em>Genome Biology.</em> 2019. It contains data on time to death, cancer type, 4 clinical variables, expression of 12,434 genes, somatic mutation of 130 genes, expression of 305 miRNA, expression of 136 proteins or phospho-proteins, copy number of 216 DNA segments, and 497 gene expression modules. Data on time to death, clinical variables, somatic mutation, copy number variation, mRNA expression, and miRNA expression were derived from the pan-cancer data set at Synapse (syn2468297 at <a href="https://www.synapse.org/#!Synapse:syn2468297">https://www.synapse.org/#!Synapse:syn2468297</a>). The protein expression data were obtained from Broad GDAC Firehose (<a href="https://gdac.broadinstitute.org/runs/stddata__2016_01_28/">https://gdac.broadinstitute.org/runs/stddata__2016_01_28/</a>).</p>
Verification Witnesses from Verification Tools (SV-COMP 2019)
<p>This data set contains verification witnesses produced by tools for software verification that participated in the 8th International Competition on Software Verification (SV-COMP 2019).</p>
Jula lexicographic data collected during January 2019
<p>Rough lexicographic data for 62 Jula lexemes collected during January 2019 in western Burkina Faso by Coleman Donaldson in the following formats:</p> <p>1) a .lift file (of the <a href="https://code.google.com/archive/p/lift-standard/">LIFT XML schema</a>) exported from LexiquePro.</p> <p>2) a .txt file in Toolbox format</p> <p>3) a .pdf file of a formatted export from LexiquePro</p> <p>4) a .rtf file of an export from LexiquePro.</p> <p>5) a .pdf file of a formatted export from Toolbox's MDF tool.</p> <p>6) a .rtf file of an export from Toolbox's MDF tool.</p> <p>I follow the de facto official phonemic orthography synthesizing the various national standards that linguists use while also marking tone. Grave diacritics mark low tones and acute diacritics mark high tones. An unmarked vowel carries the same tone as the last marked vowel before it. Lexemes without any diacritics means I am unsure of the tone.</p>
Experimental CCN properties of 6 pollenkitts and two mixtures with ammonium sulfate reported in the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Critical dry particle size Dp<sub>50</sub> measured for supersaturations 0.1–1.4% with a DMT CCN Counter (CCN-100). Size and composition resolved, and size-averaged hygroscopicity values calculated using the method presented by Rose et al. (2010), Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China - Part 1: Size-resolved measurements and implications for the modeling of aerosol particle hygroscopicity and CCN activity, <em>Atmospheric Chemistry and Physics</em>, <em>10</em>, 3365–3383.</p>
Experimental surface tensions of aqueous poplar and ragweed pollenkitts reported in the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Surface tensions measured with a ramé-hart goniometer (Model 250) for aqueous solutions of varying concentrations comprising poplar and ragweed pollenkitts and their mixtures with ammonium sulfate</p>
Critical droplet properties for particles containing 6 pollenkitts evaluated with 4 Köhler models for the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Critical droplet supersaturation and surface tension, calculated with 3 thermodynamic Köhler models presented in Prisle et al., <em>Surfactants in cloud droplet activation: mixed organic-inorganic particles</em>, Atmospheric Chemistry and Physics, 10, 5663-5683, doi:10.5194/acp-10-5663-2010, and with the model presented in Prisle et al., <em>A simple representation of surface active organic aerosol in cloud droplet formation</em>, Atmospheric Chemistry and Physics, 11, 4073-4083, doi: 10.5194/acp-11-4073-2011, for particles of varying size comprising 6 pollenkitts and mixtures with ammonium sulfate.</p>
Counts and design files - RNA-Seq workshop (2019-03-07)
<p>Counts (generated through usage of featureCounts on the BAM alignment files).</p> <p>Design file that gives the samples to experimental condition relationship.</p>
Single molecule data for unphosphorylated Aurora-A (Gilburt et al, Chemical Science 2019)
<p>Raw and partially processed single molecule intensity histogram and dwell time histogram data for the following publication:</p> <p>James A H Gilburt, Paul Girvan, Julian Blagg, Liming Ying, Charlotte A Dodson (2019) Ligand discrimination between active and inactive activation loop conformations of Aurora-A kinase is unmodified by phosphorylation. Chemical Science. DOI: 10.1039/c8sc03669a</p> <p><strong><em>Please cite our publication in any use of this data.</em></strong></p> <p> </p>
ICSE 2018 and ICPC 2019 Research Dataset on Live Programming
<p>The release includes a dataset analyzed in the two following research works: </p> <p>"The Road to Live Programming: Insights From the Practice." (ICSE 2018)</p> <p>Abstract: Live Programming environments allow programmers to get feedback instantly while changing software. Liveness is gaining attention among industrial and open-source communities; several IDEs offer high degrees of liveness. While several studies looked at how programmers work during software evolution tasks, none of them consider live environments. We conduct such a study based on an analysis of 17 programming sessions of practitioners using Pharo, a mature Live Programming environment. The study is complemented by a survey and subsequent analysis of 16 programming sessions in additional languages, e.g., JavaScript. We document the approaches taken by developers during their work. We find that some liveness features are extensively used, and have an impact on the way developers navigate source code and objects in their work.</p> <p>"Live Programming and Software Evolution: Questions during a Programming Change Task" (ICPC 2019)</p> <p>Abstract: Several studies provide the questions developers ask during software evolution tasks, providing foundations for subsequent work. Nevertheless, none of them focus on Live Programming environments that gain in popularity as they are perceived to have a positive effect on programming tasks. Studying the impact of a Live Programming environment on software development activities is thus the goal of this study.</p> <p>In a partial replication of the study by Sillito et al., we conducted 17 software evolution sessions in a Live Programming environment and report 1,161 developer questions asked during these sessions. We contrast our results with the results by Sillito et al., focusing on the question occurrences, question complexity and what information participants used to gain a required knowledge. We report eight new questions and observe that the Live Programming facilities do have an impact on the way developers ask questions about source code and use tools to gain corresponding knowledge.</p>
Common photosinthetic enzymes from 174 metagenomes from the Malaspina Expedition 2010 (Ortega et al. 2019)
<p>Predicted genes corresponding to the four most common enzymes present in photosynthetic organisms: NADH:ubiquinone reductase (H+-translocating), N-acetyl-gamma-glutamyl-phosphate reductase, DNA-directed RNA polymerase and non-specific serine/threonine protein kinase of 174 metagenomes sequenced during the Malaspina 2010 global expedition.</p> <p>From: Alejandra Ortega, Nathan R Geraldi, Intikhab Alam, Allan A Kamau, Silvia G Acinas, Ramiro Logares, Josep M Gasol, Ramon Massana, Dorte Krause-Jensen and Carlos M Duarte. Important contribution of macroalgae to oceanic carbon sequestration. Nature Geoscience.</p>
TESS-FEBRUARY-2019
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). February 2019</p>
TESS-MARCH-2019
<p>Measurements taken by the European Photometer Network (Project STARS4ALL). March 2019</p>
YSI Data from Chalgrove Lake; 2019-03-28 to 2019-04-04
<p><strong>General Metadata for Chalgrove Lake YSI Data</strong></p> <p><strong>Files</strong></p> <p>Specific metadata for each deployment can be found as text files at</p> <p>https://github.com/KennyPeanuts/watershed_metabolism/tree/master/metadata</p> <p>with the file format of:</p> <pre><code>chalgrove_lake_DDMonthYYYY_metadata.txt </code></pre> <p>Where DDMonthYYY is the date that the deployment ended.</p> <p><strong>Description</strong></p> <p>These data are from a YSI EXO2 multiparameter sonde deployed at approximately 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water.</p> <p>Sonde Specifics</p> <p>The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:</p> <ul> <li>Temperature</li> <li>Conductivity</li> <li>pH</li> <li>ODO</li> </ul> <p>Measurement Parameters, units, and Variable Names</p> <ul> <li>date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)</li> <li>date = the sampling date reported by the YSI (M/D/YYYY)</li> <li>time = the sampling time reported by the YSI (HH:MM:SS)</li> <li>fract_sec = the sampling fractions of a second reported by the YSI</li> <li>site_name = the site name on the YSI deployment (left blank)</li> <li>cond = the conductivity (uS/cm)</li> <li>nLF_cond = the nLF conductivity (uS/cm)</li> <li>perc_ODO = the percent oxygen saturation</li> <li>perc_local_ODO = the percent local oxygen saturation</li> <li>ODO_conc = the dissolved oxygen concentration (mg/L)</li> <li>sal = the salinity (psu)</li> <li>sp_cond = the specific conductivity (uS/cm)</li> <li>TDS = the total dissolved solids (mg/L)</li> <li>pH = the pH</li> <li>pH mV = the millivolts of the pH sensor</li> <li>temp = the temperature (dC)</li> <li>battery = the battery voltage</li> <li>cable_pwr = the cable power</li> </ul>
Feature count data for Love et al. 2019 analysis for "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper
<p>Feature count data for Love et al. 2019 analysis used in the "Using equivalence class counts for fast and accurate testing of differential transcript usage" paper. For reproducing the analyses and figures using the <a href="https://github.com/Oshlack/ec-dtu-paper/">ec-dtu-paper</a> code.</p> <p>Contains:</p> <ul> <li>Equivalence class count matrix for all 24 samples (using counts from Salmon)</li> <li>Salmon quantification results for all 24 samples</li> <li>Exon counts for all 24 samples using DEXSeq-count</li> </ul>
YSI Data from Chalgrove Lake; 2019-04-04 - 2019-04-25
<p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p> chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended.</p> <p>## File Created</p> <p> * 2019-04-25 by KF</p> <p>## Description</p> <p>These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water.</p> <p>## Sonde Specifics</p> <p> The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names</p> <p> * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power</p>
Constantine Cavafy, Trojans (2019)
<p>Constantine Cavafy, <em>Trojans</em> (2019)</p> <p>A movie from the reading of Constantine Cavafy’s poem <em>Trojans</em>, performed by the students of XI Mikołaj Rej High School (tutor: Anna Wojciechowska) and Strumienie High School (tutor: Barbara Strycharczyk), and the students of the Modern Greek curriculum (tutor: Sotirios Karageorgos) at the Faculty of “Artes Liberales” at the University of Warsaw, February 20, 2019. Event within the <a href="http://festival-latingrec.eu/english-public-reading/">Festival Européen Latin Grec de Lyon</a>.</p> <p>Video by Mirosław Kaźmierczak.</p> <p>For more see <a href="http://omc.obta.al.uw.edu.pl/homer">http://omc.obta.al.uw.edu.pl/homer</a>.</p>
Hector and Andromache (2019)
<p>A movie from the <em>Iliad</em>’s reading at the Faculty of “Artes Liberales”, the University of Warsaw, Poland. February 20, 2019, an initiative within the international <a href="http://festival-latingrec.eu/english-public-reading/">Festival Européen Latin Grec de Lyon</a>.</p> <p>Video by Mirosław Kaźmierczak.</p> <p>For more see <a href="http://omc.obta.al.uw.edu.pl/homer">http://omc.obta.al.uw.edu.pl/homer</a>.</p> <p> </p>
Sempa et al. 2019 - A Retrospective audit of treatment outcomes, side-effect profiles and default and mortality rates of HIV/AIDS patients at the antiretroviral clinic at Pretoria Academic Hospital.
<p>The comprehensive demographic and long-term treatment data of the first, consecutive, 963 patients older than 18 years of age who presented for ART at the Tshwane District Hospital in Gauteng, South Africa during 2004 and 2005 were selected for analysis. All patients started ART after 2004 as part of the South African national HIV treatment plan and were treated according to the National Department of Health HIV guidelines (2004) operative at the time, i.e. eligibility for ART was CD4 <200 cells/µL or WHO stage 4 disease regardless of CD4 count. Treatment was initiated using a standardized triple-drug regimen consisting of two nucleoside reverse transcriptase inhibitors, mostly d4T and 3TC, and one non-nucleoside reverse transcriptase inhibitor, either NVP or EFV. CD4 and HIV-1 VL monitoring was performed at treatment initiation ‘baseline’ and then 6-monthly, according to the national protocol. Demographic, anthropometric, clinical, ART and 5-year longitudinal treatment response data were collected. Excluded all second-line ART visits for all patients who were switched to second-line therapy.</p>
PROGRAMS project. Axis test on FIDIA DL155 on 2019-02-28
<p>Current and position data were recorded during linear axis movements to create a reference for future comparison.</p>
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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.