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datasets available to search
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Dataset results
256 results for “submissions”
Records for the PLOS1 submission
<p>Records for the PLOS1 submission </p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover"
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".</p>
ZS2017 AaltoLAG Submission #1 (mostly testing)
<p>First submission to the IEEE ASRU / Zero-Resource Speech Processing Challenge with a syllable-based pattern discovery system. Mostly testing the functionality of the system and ensuring that track1 / track2 results replicate for Mandarin/English/French also on the server. </p> <p>The track1/track2 systems require MATLAB (see the readme in /system/ for dependencies and tested platform).</p> <p>Questions and comments to okko.rasanen@aalto.fi.</p> <p>Note: This package is NOT an official distribution of the included pattern discovery system. The package is simply intended as a ZS2017 challenge submission and the current version contains large amounts of undocumented lab code. </p>
ZS2017 ELIRF Submission #1
<p>This submission for track2 is based on a first phase of acoustic phonetic decoding and a second phase of filtering based on DTW</p>
ZS2017 ELIRF Submission #2
<p>This submission is based on acoustic phonetic decoding, merging clases, and a filtering based on DTW </p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Saner 2024 Submission
<p>Data and code for SANER 2024 submission.</p>
Opioid classifiers: dataset sharing for submission Cot 31, 2023
<p>Contains datasets for submission of manuscript "Enhancing Opioid Bioactivity Predictions through Integration of Ligand-Based and Structure-Based Drug Discovery Strategies with Transfer and Deep Learning Techniques" Davide Provasi and Marta Filizola</p>
Dataset related to Initial Submission: Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition
<p>Dataset related to initial submission of research article:</p><p><strong>Myopic decision-makers need short-term actionable targets to avoid failing the European energy transition</strong></p><p>All input data, source code, and result files needed to reproduce results and study. We do not provide support for using the optimization framework.<br>Refer to README.docx for further information on content.</p>
ICSA 2024 Main Research Track - Submission 16
<p>Dataset for submitted ICSA 2024 Main Research Track - Submission 16</p>
Anonymous Submission for a Conference
<p>This dataset is for a double blind submission.</p>
Data for the AGU journal submission 2023RS007925R
<pre>This file contains data required to reproduce plots in "Design and Characterization of the Engineering Model of the Spectrometer Onboard LuSEE-Night" by Emi Tamura et al, which has been accepted for publication in Radio Science.</pre>
AD/AE of SC24 Submission: A sparsity-aware distributed-memory algorithm for sparse-sparse matrix multiplication
<p>AD/AE for SC24 submission: A sparsity-aware distributed-memory algorithm for sparse-sparse matrix multiplication</p> <p> </p>
ICSA 2025 submission 44
<p>This repository provides the dataset and results for the evaluation of the paper with submission Nr 44 of the ICSA 2025 Research track.<br>The dataset consists of the following files:</p> <ul> <li><strong>architectural_languages.zip:</strong> contains the used architectural lanauges used in the evaulation</li> <li><strong>Additionalnformation.pdf:</strong> contains additional information on how to read the files extracted by our approach</li> <li><strong>evaluation.zip: </strong>contains the data recieved by our evalutation. It contains the ChangeTrees created for each of the given AL. For more information consider the AdditionalInformation.pdf</li> <li><strong>results.zip: </strong>contains the summerized results for each of ChangeTrees in the AL</li> <li><strong>RQ_Results.zip: </strong>contains evaulated results from each of the RQs</li> <li><strong>Tools.zip: </strong>Contains the tools used for the evalution. For an explaination how to use it read the <strong>Additionalnformation.pdf, </strong>see below<strong> </strong>or contact the authors</li> </ul> <p>Running the tool:</p> <p><em>Windows 10/11<br>JDK 20 or above</em></p> <p>The tools consist of three programs: </p> <ul> <li><strong>FHIR Reconstructor</strong><br>This tool consists of three different jars. Each of the jars have the different FHIR AL already preloaded. (e.g. reconstructorFHIRSTU3.jar has FHIR_STU3 preloaded)<br>Run the jar with:<br><em>java -jar reconstructor_FHIR_STU3.jar</em><em><br></em>Afterward there a Console Dialog where you enter the Type and afterwards the PropertyType from which you want to detect the possible changes.</li> </ul> <p><em>Enter Type to inspect:</em></p> <p><strong><em>Activity</em></strong></p> <p><em>Enter PropertyType where you want to detect the changes:</em></p> <p><strong><em>actionResulting</em></strong></p> <p><em>Reading Activity.actionResulting</em><em> </em></p> <p><em>Encounter:Location Type Match 1 Encounter:Participant</em></p> <p><em>Location Type Match 1 Hospitalization</em></p> <p><em>Stage.assessment Type Match 1 Condition.asserter</em></p> <p><em>Changes decked please see file !</em></p> <p><em>Process finished with exit code 0</em></p> <p>Afterwards a file called possibleChanges.json should be created that contains the detected ChangeTree.</p> <ul> <li><strong>EMF AL Reconstructor<br></strong>This tool is similar to the FHIR importer. Here, you can import to EML AL versions that get imported into the system. Afterwards you can reconstruct the history of a PropertyType same as the FHIR jar. <br>Run this tool with:</li> </ul> <p><em>java -jar reconstructor.jar <pathToALVersion1> <pathToALVersion2></em></p> <ul> <li><strong>EMF RandomChanges Reconstructor<br></strong>This tool imports an EMF AL and applies random changes to it. Afterwards it generates a ChangeTree for each of the PropertyTypes and stores them in the provided Path</li> </ul> <p><em>java -jar reconstructorRandom.jar <pathToALVersion1> <pathWhereToStore> <numberOfRandomChangesApplied></em></p> <p><strong><em>Note: </em></strong><em>Please run both the tool and the server in a command line to receive additional information.<br></em></p> <p> </p>
Anonymized Additional Files for ICLR submission
Open the record for dataset details and reuse information.
Oligoplites Submission for JFD
<p>Radiographs used for the comparasion of FH in Oligoplites species</p>
Data and R scripts for "Allometric scaling of hyporheic respiration across basins in the Pacific Northwest USA" submission (Release L1)
<p>This repository holds data and scripts used for the analyses presented in a manuscript entitled "Allometric scaling of hyporheic respiration across basins in the Pacific Northwest United States" in revision in JGR Biogeosciences.</p>
Tina's assemblies, final submissions
<p>.</p>
Test data for double blind submission
<p>Test data for double blind submission</p>
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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