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6,782 results for “project”
Dataset for the SIAM MPI23 project "Model inversion for complex physical systems using low-dimensional surrogates"
<p>This dataset contains 20,000 synthetic simulations of a simplified two-dimensional confined aquifer model of the Hanford Site. The inputs are the Kosambi-Karhunen-Loève expansion (KKLE) coefficients of the input log-transmissivity field. The outputs are the corresponding stationary pressure responses observed at 323 observation wells. Also included are the arrays necessary to reconstruct the log-transmissivity inputs from the KKLE coefficients.</p>
Evaluating the Impact of Third-Party Library Reuse in Java Projects: An Empirical Study
<p>Update, we have added the following:<br> - `dataset.ipynb`: Computes all the dataset used for this study. The user needs to use a call graph generator like OPAL/WALA.</p> <p>- `loc.ipynb`: Computes a dataset for LOC information given a call graph dataset</p> <p>- `called-reuse.ipynb`: Computing a dataset for all called functions and LOC in third-party libraries</p> <p>- `megamorphic.ipynb`: Empirically decide the megamorphic call sites. <br> <br> This part of the submission related to the paper "Evaluating the Impact of Third-Party Library Reuse in Java Projects: An Empirical Study". Here is a table of contents:</p> <ul> <li>`census.csv`: extracted data from the Census-II</li> <li>`releases_all.csv`: all releases available from Maven Coordinates in Census-II</li> <li>`releases_jar.csv`: dataset of all releases with a POM and JAR file</li> <li>`releases_jar_6_months.csv`: releases selected when studiying the 6-month interval</li> <li>`releases_jar_6_months.csv`: releases selected when comparing consecutive versions per artefactid and groupid</li> <li>`loc_composition.csv`: data on the ratio of insourced and outsourced code in project releases</li> <li>`loc_desc_without_lambdas.csv`: mined data on LOC information and class information.</li> <li>`loc_reuse_lower_bound.csv`: data on the ratio of reused LOC and functions of outsourced code, lower-bound</li> <li>`loc_reuse_upper_bound.csv`: data on the ratio of reused LOC and functions of outsourced code, upper-bound</li> </ul>
Results and input data related to the case study 3 of the openENTRANCE project - version 20062023
<p>This dataset comprises the main results of case study 3 of the openENTRANCE project. Additionally, input data related to the power generation system and renewables profiles are included in the dataset.</p>
BQE WIM Data Year 4 Project (Implementation and Effectiveness of Autonomous Enforcement of Overweight Trucks in an Urban Infrastructure Environment)
<p>BQE (Brooklyn-Queens Expressway) WIM Data for QB (Queens Bound) and SIB (Staten Island Bound)</p>
GWAS dataset with simulated binary phenotypes for 1000 Genome Project
<p>Phenotypes in this dataset are generated by simulating quantitative blood lipid level phenotype using the method introduced in by (https://app.terra.bio/#workspaces/amp-t2d-op/2019_ASHG_Reproducible_GWAS-V2), and binarized to be suitable as a test case for GWAS methods.</p> <p>ALL.shapeit2_integrated_v1a.GRCh38.20181129.phased.rsid files and allpopid.txt are the 1000 Genome Project reference data used for generating MDS plot in https://github.com/csbio/BridGE-Python</p> <p> </p>
2022 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the <a href="https://lpnu.ua/en/optima">OPTIMA project</a> from Nov 07 – Dec 04, 2022. An identical survey was <a href="https://doi.org/10.5281/zenodo.8067080">conducted in 2021</a> and a consecutive survey is planned for 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2022:</strong></p> <ul> <li>National Survey - 7727</li> <li>Lviv Polytechnic National University - 1349</li> <li>Sumy State University - 306</li> <li>Vasyl Stus Donetsk National University - 225</li> <li>Lutsk National Technical University - 101</li> </ul>
2021 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the Erasmus+ <a href="https://lpnu.ua/en/optima">OPTIMA project</a> (618940-EPP-1-2020-1-UA-EPPKA2-CBHE-JP) during December 13-30, 2021. Two consecutive surveys will be conducted in 2022 and 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2021:</strong></p> <ul> <li>National Survey - 7987</li> <li>Lviv Polytechnic National University - 754</li> <li>Sumy State University - 257</li> <li>Vasyl Stus Donetsk National University - 125</li> <li>Lutsk National Technical University - 80</li> </ul>
Results for plan4EU runs in Case STudy 4 of the Open ENTRANCE project
<p>This dataset contains scenarios results for Case Study 4 of the openENTRANCE project.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information.</p>
Results from the EMPIRE model in the openENTRANCE project
<p>This dataset contains scenario results from the EMPIRE model as part of Case Study 1 in the openENTRANCE project.</p> <p>The data file follows the IAMC data format and the conventions established by the openENTRANCE project. See <a href="https://github.com/openENTRANCE/openentrance">https://github.com/openENTRANCE/openentrance</a> for details.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information about the openENTRANCE project and other datasets.</p>
AWARE2ALL Project summary video
<p>This is a project summary motion graphics video of AWARE2ALL. AWARE2ALL is an EU-funded project consisting of 15 partners from technology, research and automotive companies aimed at researching and developing safety systems and human-machine interfaces (HMI) targeting the diverse population towards future scenarios with an increasing proportion of highly automated vehicles.</p> <p>In the project we will define different use cases to solve all these questions and more and we will develop 4 demonstrators:</p> <ul> <li>A first demonstrator will be a passive virtual prototype based on new interior (postures and orientation) of autonomous vehicle, focused on passenger safety.</li> <li>In the second one, we will test in a physical vehicle if it is able to anticipate dangerous situations and act proactively.</li> <li>In parallel, we will test these scenarios on a third hybrid prototype (virtual and physical) and develop an internal HMI that will dynamically adapt the messages addressed to the occupants.</li> <li>The fourth demonstrator aims to develop vehicle interaction and perception with road users by developing an external HMI in a physical prototype.</li> </ul>
Vortex project file for PVA of Southern Resident Killer Whale -- manuscript by Williams et al.
<p>Project file for Vortex PVA scenarios used in Williams et al. manuscript. </p> <p><span>Williams, R., R.C. Lacy, E. Ashe, L. Barrett-Lenard, T.M. Brown, J.K. Gaydos, F. Gulland, M. </span><span>MacDuffee, B.W. Nelson, K.A. Nielsen, H. Nollens, S. Raferty, S. Reiss, P.S. Ross, M.S. Collins, R. Stimmelmayr, & P. Paquet. 2024. Warning sign of an accelerating decline in critically endangered killer whales (<em>Orcinus orca</em>). Communications Earth & Environment (in press).</span></p>
BEACON project data
<p>This is the University of Jyväskylä's data bank for the BEACON project, which contains experimental results of wetting and semi-free swelling of three different clay materials. Data provided is collected by using a combination of X-ray radiography and post-numerical image analysis methods. These measurement techniques yield data on the time evolution of deformation and partial densities of both liquid and clay in different layers of the sample. Furthermore, the saturation process of the sample is also monitored by measuring axial swelling pressures that are also presented in this data bank.</p>
Online course materials in predictive microbiology applied to growth - the EFSA ListeriaPredict Project
<p>Online course materials in predictive microbiology applied to growth</p> <p>A deliverable from the EFSA funded ListeriaPredict Project</p>
An analysis of the impact of domain debt in open-source projects
<p>Datasets related to the thesis paper:</p> <ul> <li><em>original_boa.txt</em> contains the intial output given by <a href="https://boa.cs.iastate.edu/boa/index.php">BOA</a>, while <em>filtered_boa.txt</em> comprises the set of repositories with at most five domain entity packages</li> <li><em>original_seart.txt</em> included data as returned by <a href="https://seart-ghs.si.usi.ch/">SEART</a></li> <li><em>database_structure.sql</em> is the SQL file that may be exploited to perform further analysis on the two datasets</li> <li><em>repos.json</em> contains the final list of repositories, as chosen in the study</li> </ul>
Dataset for "Energetic electron flux dropouts measured by ELFIN in the ionospheric projection of the plasma sheet"
<p>This dataset accompanies our manuscript submission to JGR space physics. The dataset provides the event list of the 145 energetic electron flux dropouts measured by ELFIN during the period of April 2019 to September 2022. The table includes event start and end UT, satellite name (ELFIN-A or ELFIN-B), the association with large-scale field-aligned currents (FACs) as measured by FGM, and the relation with substorm and auroral activities as indicated by the SML index.</p>
FIG. 1 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 1. — Location of the Community Museum (La Victoria, Huila).
FIG. 4 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 4. — Photos of the exhibition: home-made Paleontology exhibit. Photo credits: Parque Explora.
Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case
<p>Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case", contains a brieff description of the FAIR Data Spaces project</p>
Apulian Aqueduct demo site: daily time series of estimated inflows (natural springs and reservoirs) for climate projections
<p>This dataset contains the daily time series of net estimated inflows (natural springs and main reservoirs of Apulian aqueduct - demo site 1) computed with a lumped rainfall-runoff model starting from climate projections of precipitation and temperature.</p> <p>This dataset considers two representative concentration pathways (RCP 4.5 and 8.5) and two decades, in the medium (2050-2059) and long-term future (2090-2099).</p> <ul> <li>Temporal coverage: 2050-2059; 2090-2099</li> <li>Spatial coverage: Springs: Sele, Calore; Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo</li> <li>Unit of measure: m3/s</li> </ul> <p>More information and details on the content of this dataset can be found in Project Ô <a href="https://zenodo.org/record/7576611">Deliverable D4.4</a>. </p>
LIFE Ilhas Barreira - D1 Project Milestone: Portfolio of UAV surveys database
<p>The Ria Formosa Natural Park, a multi-barrier island system located in South Portugal, holds a variety of dune habitats of high ecological value. However, some of them are threatened by both human and natural pressures. An example are the grey dunes located at Barreta Island, which show clear signs of perturbation due to the settlement of two gull breeding colonies (west and east). The native grey dune vegetation coverage has been reduced within the nesting areas and replaced by ruderal species adapted to a higher nutrient content and gull physical disturbance (<a href="https://www.sciencedirect.com/science/article/pii/S1470160X22002412">Talavera et al., 2022</a>; <a href="https://doi.org/10.3390/d15050589">Portela et al., 2023</a>).</p> <p>Aiming to restore the native grey dune vegetation, the LIFE Ilhas Barreira project (LIFE18 NAT/PT/000927) implemented several conservation measures. Among them were the installation of gull control and exclusion areas in the two nesting areas (details on the materials and configuration of the exclusion and control areas can be found at <a href="https://www.lifeilhasbarreira.pt/wp-content/uploads/2021/04/Deliverable-C2-Gull-exclusion-areas_compressed.pdf">Deliverable C2</a>), which were monitored using a DJI Phantom 4 Multispectral drone during a 2-year period (December 2020-December 2022).</p> <p>The 5-band orthophotoimages available for download show the evolution of the vegetation coverage in these gull control and exclusion areas over the 2-year monitoring period.</p>
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.