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Dataset results
22 results for “line intensity”
Measurement and line parameter database CO2 5975-6575 cm-1 including intensity depletion and continua
<p>Self-broadened CO2 measurements at 294 K and 212 K for pressures up to 1000 mbar and analysis are published in “The pressure dependence of the experimentally-determined line intensity and continuum absorption of pure CO2 in the 1.6 µm region”, JQSRT. The paper is submitted, the reference will be given when available. Zenodo serves as a repository for the measurement database, line parameter database, and continua at 294 K and 212 K, replacing the commonly used supplement in the paper.</p> <p>The measurement database is in “CO2_measurements_5970-6575cm-1.zip”, the line parameter database in “CO2_line_parameters_5970-6575cm-1_V1.zip”, and the continua in “CO2_self_continua_6110-6460cm-1.zip”. The readme file is “Measurement database and line parameter database for self-broadened CO2 in the 5970-6575 cm-1 region including intensity depletion and continuum - Readme.docx”.</p> <p>Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in <a href="https://zenodo.org/records/1009126">ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org)</a>. Depletions have the unit atm<sup>-1</sup>.</p> <p><span>The systematic uncertainty of line positions is 1.7x10<sup>-6</sup> cm<sup>-1</sup>.</span></p>
Line intensities from IRAM observations: C/2021 A1 (Leonard) and C/2022 E3 (ZTF)
<p>The following tables provide the line integrated intensities in K km s −1 corrected for main beam efficiency and Doppler shifts, when detected. Data in Tables 1 and 2 are average of several lines (aligned according to doppler velocity scale) of a given molecule, for lines of similar energy levels when possible.</p> <p>Data in Tables 3 and 4 are provided for individual lines, averaged over one day or several days. Integrated intensities and rms are weighted average when covered by several backends, and Doppler shift measured with the backend providing the highest spectral resolution.</p>
Comparing the Intensity of Variability Changes in Software Product Line Evolution - Related Research Artifacts
<p>This archived open repository contains open science material related to the following submission to the <a href="https://www.journals.elsevier.com/journal-of-systems-and-software/call-for-papers/software-reuse-for-the-next-generation">Journal of Systems and Software (JSS) special issue <em>Software Reuse for the Next Generation</em></a>:</p> <p>C. Kröher, L. Gerling, K. Schmid, <em>Comparing the intensity of variability changes in software product line evolution</em>, Journal of Systems and Software. Submitted November 2022.</p> <p>The paper presents the application of a fine-grained, variability-centric analysis approach to four different software product lines: <a href="https://github.com/torvalds/linux">Linux kernel</a>, <a href="https://github.com/coreboot/coreboot">coreboot firmware</a>, <a href="https://github.com/mirror/busybox">BusyBox UNIX utilities</a>, and <a href="https://sourceforge.net/projects/axtls/">axTLS embedded SSL</a>. The approach is based on the differentiation between artifact-specific and variability information in code, build, and variability model artifacts to identify the intensity (the frequency and the amount) with which developers change variability information in practice.</p> <p>In order to complement the results presented in the submission and support reproducibility as well as reuse, the following artifacts are available:</p> <ul> <li><strong>JSS-VM_2022-11-01.zip</strong>: a compressed archive containing the virtual machine in which the analysis was executed. This virtual machine was created with <a href="https://www.vmware.com/content/vmware/vmware-published-sites/us/products/workstation-player/workstation-player-evaluation.html.html">VMware Workstation 16 Player</a> based on <a href="https://ubuntu.com/download/desktop">Ubuntu Desktop 22.04.1</a> (username and password: jss). It provides all installed software, configuration files, data sets, and results as described in the submission. Download, extract, and start the virtual machine to access the detailed description of its content and usage on the desktop.</li> <li><strong>ComAnI-Applications.zip</strong>: a compressed archive containing the technical realization of the analysis approach and the configuration files used to apply it to the individual software product lines. This includes: <ul> <li><em>ComAnI_Guide.pdf</em>: the guide explaining the application and its usage in general</li> <li><em>ComAnI.jar</em>: the Java executable archive file representing the main application for starting an analysis</li> <li><em>ComAnI-PS.jar</em>: a modified version of the previous Java executable archive file, which provides the number of code, build, and variability model artifacts as specified by the regular expressions of a given configuration file as well as their total number of lines based on the current state of a repository only (no history)</li> <li><em>DeadCodeChangeAnalyzer.jar</em>: a commit analyzer plug-in for detecting changes relevant to dead code detection (not used in the submission)</li> <li><em>GitCommitExtractor.jar</em>: a commit extraction plug-in for extracting commits from Git repositories</li> <li><em>SvnCommitExtractor.jar</em>: a commit extraction plug-in for extracting commits from Subversion (SVN) repositories</li> <li><em>VariabilityChangeAnalyzer.jar</em>: a commit analyzer plug-in for detecting changes to artifact-specific and variability information in code, build, and variability model artifacts (realization of the commit analysis process described in the submission)</li> <li><em>busybox-commit-list</em>: a plain text file containing a subset of the BusyBox commits as required by the application to extract and analyze only those parts of its entire history relevant for the submission (quote from the submission: <em>"For BusyBox, we had to further exclude commits before the complete migration to Kbuild and after the introduction of a script for extracting variability model information from code artifacts, which initiated defining variability information of the variability model as part of comments in code artifacts. This mixing of information and artifact types is not supported by our tooling"</em>)</li> <li><em>axtls.properties</em>: the configuration (file) defining the required properties for extracting and analyzing commits of the axTLS history</li> <li><em>busybox.properties</em>: the configuration (file) defining the required properties for extracting and analyzing all commits of the BusyBox history</li> <li><em>busybox-subset.properties</em>: the configuration (file) defining the required properties for extracting and analyzing the commits specified in the busybox-commit-list file only, resulting in the respective subset of the BusyBox history</li> <li><em>coreboot.properties</em>: the configuration (file) defining the required properties for extracting and analyzing all commits of the coreboot history</li> <li><em>linux.properties</em>: the configuration (file) defining the required properties for extracting and analyzing all commits of the Linux kernel history</li> <li><em>template.properties</em>: the configuration (file) template including descriptions of each property and its valid values</li> </ul> </li> <li><strong>ComAnI-Results.zip</strong>: a compressed archive containing the (raw) analysis results from applying the approach via its realization as provided by the previous archive to each of the software product lines. Hence, for each subject, a directory with the respective name exist, which in turn contains the following artifacts: <ul> <li><em>VariabilityChangeAnalyzer-Results_2022-09-[…]</em>: the directory containing the respective analysis results and some automated visualizations. Please note that some files are not correctly labeled, .e.g. some files for axTLS and BusyBox are prefixed with "coreboot", while containing the correct data for the respective subjects. Further, for BusyBox, two directories exist, which the additional readme-file explains</li> <li><em>project-size-trace.txt</em>: the complete trace from starting ComAnI-PS.jar (see description above) with a specific configuration file to its final output</li> </ul> </li> <li><strong>JSS23_Extended-Evolution-Analysis_Statistics.ods</strong>: a <a href="https://www.libreoffice.org/discover/calc/">LibreOffice Calc</a> spreadsheet containing data derived from the raw ones of the ComAnI-Results.zip and the respective visualizations as presented in the submission. Further, some sheets include additional data preparations used to write certain parts of the result and discussion sections.</li> </ul> <p>The additional <strong>LICENSE</strong> file defines <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License Version 2.0, January 2004</a> to apply for all artifacts in this repository.</p> <p>This work is partially supported by the Evoline project, funded by the DFG (German Research Foundation) under Priority Programme SPP 1593 and by the ITEA3 project REVaMP², funded by the BMBF (German Ministry of Research and Education) under grant 01IS16042H. Any opinions expressed herein are solely by the authors and not of the DFG or BMBF.</p>
A Trial of CPX-351 Lower Intensity Therapy (LIT) Plus Venetoclax as First Line Treatment for Subjects With AML
ClinicalTrials.gov study NCT04038437. IPD Sharing: Not stated. Countries: 1. Publications: 1.
First-Line Intervention for PTSD - Intensive Treatment
ClinicalTrials.gov study NCT06700590. IPD Sharing: YES. Countries: 1. Publications: 1.
COVID-19 Seroconversion Among Front Line Medical and Paramedical Staff in Emergency, Intensive Care Units and Infectious Disease Departments During the 2020 Epidemic
ClinicalTrials.gov study NCT04304690. IPD Sharing: NO. Countries: 1. Publications: 1.
Topical Antibiotics for Prevention of Intensive Care Unit (ICU) Central Line Infections
ClinicalTrials.gov study NCT00990392. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Ponatinib Plus Reduced-intensity Chemotherapy in the First-line Treatment of Adult Patients With Ph+ ALL
ClinicalTrials.gov study NCT04554459. IPD Sharing: NO. Countries: 1. Publications: 33.
Phase III Study in First-line Treatment of Patients With Metastatic Colorectal Cancer Who Are Not Candidate for Intensive Therapy.
ClinicalTrials.gov study NCT03869892. IPD Sharing: YES. Countries: 25. Publications: 1.
HEMOTOL: Efficacy and Safety of Hemodialysis On-line Monitoring Devices on Hemodynamic Stability in Intensive Care Unit
ClinicalTrials.gov study NCT00811109. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Beyond BACI: offsetting carcass numbers with flight intensity to improve risk assessments of bird collisions with power lines
<p>Here, the count data underlying the paper "Beyond BACI: offsetting carcass numbers with flight intensity to improve risk assessments of bird collisions with power lines" (to be published in <span>"Ecology and Evolution", Mercker&Jödicke, 2021) </span>are given. In particular, we provide flight intensity data for Starling, Geese Gulls, and Doves (i.e., data from those analyzed bird species(complexes) where statistical analyses indicate a violation of the BACI assumption of synchronicity (p < 0.1)), as well as Geese flight and carcass data (the latter structurally underlying the simulation study presented in our work). We kindly thank the TenneT TSO GmbH for providing carcass and bird flight data.</p>
A Study of Intensity-Modulated Pleural Radiation Therapy (IMPRINT) in People With Thymic Cancer That Has Spread to the Lining of the Lungs and Chest
ClinicalTrials.gov study NCT05354570. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Beyond BACI: offsetting carcass numbers with flight intensity to improve risk assessments of bird collisions with power lines
Open the record for dataset details and reuse information.
Avelumab With Decitabine as First Line for AML Treatment of Patients With AML, Who Are Unfit for Intensive Chemotherapy
ClinicalTrials.gov study NCT03395873. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sulfasalazine in AML Treated by Intensive Chemotherapy: Elderly Patients-first Line Treatment
ClinicalTrials.gov study NCT05580861. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evidence-Based Nursing to Reduce Adverse Events Regarding Ventilator Associated Pneumonia, Pressure Injuries and Central Line Bloodstream Infection in Intensive Care Unit in Bangladesh
ClinicalTrials.gov study NCT07299799. IPD Sharing: NO. Countries: 2. Publications: 0.
The Association Between Chlorhexidine Bathing and Central Line-Associated Infections in Medical Intensive Care Units
ClinicalTrials.gov study NCT05919966. IPD Sharing: NO. Countries: 1. Publications: 0.
Intensive Chemo-immunotherapy as First Line Treatment in Adult Patients With Peripheral T- Cell Lymphoma
ClinicalTrials.gov study NCT01679860. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Results From a French Temporary Utilization Authorization of First-line Acute Myeloid Leukemia (AML) Patients Ineligible for Intensive Chemotherapy (IC), Treated With Venetoclax Azacitidine
ClinicalTrials.gov study NCT06263387. IPD Sharing: NO. Countries: 1. Publications: 0.
Drawing the Line Between Medium Care and Intensive Care. A Prospective Observational Study Based on the Nursing Activities Score
ClinicalTrials.gov study NCT01633606. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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OpenNeuro
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