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1,034 results for “Empirical”
A Study of Empirical Antifungal Therapy With Itraconazole
ClinicalTrials.gov study NCT01706562. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Randomized, Open Label, Comparative, Multicenter Trial of Voriconazole Vs. AmBisome for Empirical Antifungal Therapy in Immunocompromised Patients With Persistent Fever and Neutropenia
ClinicalTrials.gov study NCT00008840. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Empirical Steroids and/or Antifungals in Immunocompromised Patients With Acute Respiratory Failure From Undetermined Etiology: a Multicenter Double-blind Randomized Controlled Trial
ClinicalTrials.gov study NCT04680884. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Empirical Comperative Study Of Variation Blood Level Antibody Vitamin D at Different Groups Of Patients Compared Healthy Peoples
ClinicalTrials.gov study NCT02795234. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A 28 - 90 Days Study to Evaluate the Safety, Tolerability, and Efficacy of Caspofungin Injection as Empirical Therapy in Indian Adults With Persistent Fever and Neutropenia (0991-053)(COMPLETED)
ClinicalTrials.gov study NCT00379964. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Empirical Annotation of the Daphnia pulex genome; Experiment A
GEO Series GSE25855. Daphnia pulex. 6 samples. Type: Expression profiling by genome tiling array.
Empirical Evaluation of Diagnostic Algorithm Performance Using a Generic Framework
A variety of rule-based, model-based and datadriven techniques have been proposed for detection and isolation of faults in physical systems. However, there have been few efforts to comparatively analyze the performance of these approaches on the same system under identical conditions. One reason for this was the lack of a standard framework to perform this comparison. In this paper we introduce a framework, called DXF, that provides a common language to represent the system description, sensor data and the fault diagnosis results; a run-time architecture to execute the diagnosis algorithms under identical conditions and collect the diagnosis results; and an evaluation component that can compute performance metrics from the diagnosis results to compare the algorithms. We have used DXF to perform an empirical evaluation of 13 diagnostic algorithms on a hardware testbed (ADAPT) at NASA Ames Research Center and on a set of synthetic circuits typically used as benchmarks in the model-based diagnosis community. Based on these empirical data we analyze the performance of each algorithm and suggest directions for future development.
MRO CRISM TARGETED EMPIRICAL RECORD V1.0
This volume contains the CRISM Targeted Empirical Record (TER) archive, a collection of multiband image cubes derived from targeted (gimbaled) observations of Mars' surface acquired by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument on the Mars Reconnaissance Orbiter (MRO) spacecraft. Post-processing attempts to represent the spectrum the instrument would have measured looking at the surface of Mars at a standard illumination geometry, in the absence of atmospheric gases, with aerosol scattering normalized to that at the geometry within the observation that is closest to nadir, in the absence of instrument artifacts. A series of value added products represent spatial variability in signatures of minerals of interest. The data are still in sensor space, allowing map projection using terrain models of the Martian surface that are of better accuracy or spatial resolution than was used to generate the companion Map-projected Targeted Reduced Data Record (MTR) archive.
Empirical comparison of reduced representation bisulfite sequencing and Infinium Beadchip reproducibility and coverage of DNA methylation in humans
GEO Series GSE95163. Homo sapiens. 12 samples. Type: Methylation profiling by high throughput sequencing.
Empirical analysis of Type-Related Defects in Python projects
<p>This is the replication material related to the following paper submitted for TSE.</p> <ul> <li>Faizan Khan, Boqi Chen, Daniel Varro, and Shane McIntosh. An Empirical Study ofType-Related Defects in Python Projects.IEEE Transactions on Software Engineering,2021(under review)</li> </ul>
Empirical analysis of Type-Related Defects in Python projects
<p>This is the replication material related to the following paper submitted for TSE.</p> <ul> <li>Faizan Khan, Boqi Chen, Daniel Varro, and Shane McIntosh. An Empirical Study ofType-Related Defects in Python Projects.IEEE Transactions on Software Engineering,2021(under review)</li> </ul>
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
<p>This dataset was collected from GitHub and Stack Exchange (including Stack Overflow, Quantum Computing Stack Exchange, and Computer Science Stack Exchange) to conduct an empirical study on architecture decisions in quantum software systems. We provide below a brief description of each file:</p><p>1. Dataset (GitHub).xlsx</p><p>contains selected quantum software projects from GitHub with project names, issue IDs, and issue URLs and the data extracted from the GitHub issues that are related to architecture decisions in quantum software development.</p><p>2. Dataset (SO).xlsx</p><p>contains the IDs and URLs of Stack Overflow (SO) labeled posts and the extracted data from the Stack Overflow posts that are related to architecture decisions in quantum software development.</p><p>3. Dataset (QC).xlsx</p><p>contains the IDs and URLs of Quantum Computing (QC) Stack Exchange labeled posts and the extracted data from the Quantum Computing Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>4. Dataset (CS).xlsx</p><p>contains the IDs and URLs of Computer Science (CS) Stack Exchange labeled posts and the extracted data from the Computer Science Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p>5. Extracted Data (GitHub+SO+QC+CS).xlsx</p><p>provides the final results of data extracted from the related GitHub issues, SO posts, QC posts, and CS posts.</p>
An Empirical Study of Deprecation Declarations in the Rust Ecosystem
<p><strong>An Empirical Study of Deprecation Declarations in the Rust Ecosystem</strong></p> <p>This Repository contains the data and scripts used in<em> An Empirical Study of Deprecation Declarations in the Rust Ecosystem</em>.</p> <p><strong>DataSet</strong>:</p> <ul> <li>crateio_dumps: It contains data related to Rust packages exported from <a href="https://crates.io/data-access">crate.io</a>.</li> <li>advisory-db: <ul> <li>GAD: GitHub Advisory Database, exported from <a href="https://github.com/github/advisory-database/tree/main/advisories/github-reviewed">reviewed adviosry-database repository</a>. </li> <li>RAD: RustSec Advisory Databa, exported from <a href="https://rustsec.org/">Rustsec advisories</a>.</li> </ul> </li> </ul> <p><strong>Scripts</strong>:</p> <ul> <li>0_preprocess.ipynb: Data preprocessing involves extracting dependency relationships between packages and filtering out the libraries for further study. </li> <li>1_RQ1.ipynb, 2_RQ1.ipynb: These two files obtains the results mentioned in RQ1.</li> <li>3_RQ2.ipynb: This file obtains the results mentioned in RQ2.</li> <li>4_RQ3.ipynb: This file obtains the results mentioned in RQ3.</li> </ul>
Empirical Data, Survey and Letter of Consent of the Study: Brouillet C. et al. "Soil extraction as an adaptation strategy to climate change - a focus on urban ecosystem services"
<ul> <li>Empirical Data (quantitative part of the results), Survey and Letter of Consent</li> <li>From the study entitled "Soil extraction as an adaptation strategy to climate change - a focus on urban ecosystem services" Brouillet C. et al. </li> <li>All documents are in French.</li> </ul>
CSRM Level 2 dataset: inter-station empirical Green's functions (Z-Z component) in continental China from seismic ambient noise data
<p>This dataset contains the <strong>377,770</strong> inter-station empirical Green's functions and associated Rayleigh wave phase/group velocity dispersion curves that are calculated from continuous seismic ambient noise waveforms of <strong>2513</strong> seismic stations deployed in the continent China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>). </p> <p>本数据库包含了利用中国大陆区域 <strong>2513</strong> 个地震台站记录的连续波形数据计算的 <strong>377,770 </strong>条台站间经验格林函数及其瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(<strong>CSRM-1.0</strong>)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
At the intersection between acoustic phonetics and information structure. An empirical investigation on the phonetic realization of vowel length in three Ligurian dialects
<p>This repository contains the data gathered within the research project “At the intersection between acoustic phonetics and information structure. An empirical investigation on the phonetic realization of vowel length in three Ligurian dialects”, funded by the Swiss National Science Foundation (University of Zurich, 01.06.2018-31.08.2022; Project Nr. 100015_178932)</p> <p>The materials include:</p> <p>- Production data. Recordings of each speaker for each experiment (.wav).</p> <p>- Perception data. Audio stimuli (.wav), stimuli conditions (.xlsx), PsychoPy test files (.psyexp).</p> <p>- Metadata. Documentation about the experiments and the speakers involved.</p> <p>- A scientific report with a short description of each experiment as well as a summary of the research work carried out within the project.</p> <p>For more information, see the ReadMe .txt files in the folder.</p>
Evaluate the Safety and Efficacy of Caspofungin Acetate as Empirical Therapy in Chinese Adults With Persistent Fever and Neutropenia (0991-055)
ClinicalTrials.gov study NCT00548080. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Empirical Bayes Conditional Independence Graphs for Dense Regulatory Network Recovery
GEO Series GSE32030. Homo sapiens. 270 samples. Type: Expression profiling by array.
Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"
<p>This repository contains the data and results from the paper "Code Smells Detection via Code Review: An Empirical Study" submitted to ESEM 2020.</p> <p> </p> <p><strong>1. data folder</strong></p> <p>The data folder contains the retrieved 269 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell Term, Code Smell Discussion, and Source Code URL.</p> <p> </p> <p><strong>2. scripts floder</strong></p> <p>The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms.</p> <ul> <li><em>smell-term/general_smell_terms.txt</em> contains general code smell terms, such as "code smell".</li> <li><em>smell-term/specific_smell_terms.txt</em> contains specific code smell terms, such as "dead code".</li> <li><em>smell-term/misspelling_terms_of_smell.txt</em> contains the misspelling terms of 'smell', such as "ssell".</li> <li><em>get_changes.py</em> is used for getting code changes from OpenStack.</li> <li><em>get_comments.py</em> is used for getting review comments for each code change.</li> <li><em>smell_search.py</em> is used for searching review comments that contain code smell terms.</li> </ul> <p> </p> <p><strong>3. project folder</strong></p> <p>The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download.</p> <ul> <li><em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool.</li> <li><em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool.</li> </ul>
Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"
<p>This repository contains the data and results from the paper "Code Smells Detection via Code Review: An Empirical Study" submitted to ESEM 2020.</p> <p> </p> <p><strong>1. data folder</strong></p> <p>The data folder contains the retrieved 269 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell Term, Code Smell Discussion, and Source Code URL.</p> <p> </p> <p><strong>2. scripts floder</strong></p> <p>The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms.</p> <ul> <li><em>smell-term/general_smell_terms.txt</em> contains general code smell terms, such as "code smell".</li> <li><em>smell-term/specific_smell_terms.txt</em> contains specific code smell terms, such as "dead code".</li> <li><em>smell-term/misspelling_terms_of_smell.txt</em> contains the misspelling terms of 'smell', such as "ssell".</li> <li><em>get_changes.py</em> is used for getting code changes from OpenStack.</li> <li><em>get_comments.py</em> is used for getting review comments for each code change.</li> <li><em>smell_search.py</em> is used for searching review comments that contain code smell terms.</li> </ul> <p> </p> <p><strong>3. project folder</strong></p> <p>The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download.</p> <ul> <li><em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool.</li> <li><em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool.</li> </ul>
ScienceDex guides
Understand access before you commit
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.