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6,782 results for “project”
OpenFE 2024 Industry Benchmarking Project, Results from Merck cmet
<p>OpenFE 2024 Industry Benchmarking Project, Results from systems merck set cmet. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024</p>
OpenFE 2024 Industry Benchmark Project, Results from Genentech. misc: btk
<p>OpenFE 2024 Industry Benchmark Project. Results from misc: btk. OpenFE Version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024</p>
Biodiversity data and associated data from the EJP-Soil Minotaur project
<p>The dataset concerns data on biodiversity and associated measured data collected within the Minotaur project, an internal projet of EJP-Soil.</p>
ROS2 bagfiles associated to the European project Robs4Crops
<p>This project contains multiple datasets in the form of ROS2 bagfiles, recorded during various agricultural robotics experiments in diverse environments: vineyards and apple orchards. Each dataset includes sensor data collected from agricultural vehicles (two retrofitted tractors and a differential robot called Carob) equipped with state-of-the-art perception, localization, and navigation systems. </p> <p>The datasets include: <br>- Camera data: RGB images, depth information, and camera calibration details.<br>- LiDAR data: 3D point clouds from the environment.<br>- IMU data: acceleration and angular rates. <br>- GNSS data: Global positioning for outdoor localization in format WGS84.<br>- Transformations: Static and dynamic transformations between sensor frames and vehicle base frames.</p> <p>Each experiment contains a readme.docx file that documents the sensor configurations, frame conventions, and trajectories followed during the experiment and other relevant information to understand how to use the data in the proper dataset.</p>
NANCY SNS-JU project "Italtel Italian in-lab testbed dataset 2"
<p><span>In the context of the NANCY project (https://nancy-project.eu/), </span><span>this Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework, to model training and model inference functions. The data collected in the Italian in-lab testbed, namely “dataset 2”, focus on the Edge segment of the network and consider the presence of some of the NANCY components, to assess their impact with respect to the baseline defined through the first collected dataset (D6.6 “Italian in-lab testbed dataset 1”), assessment that will be carried out and completed, together with the technology evaluation, in subsequent project activities.<span> </span> <br>More specifically, the data collected in the Italtel Italian in-lab testbed, where a MEC assisted 5G network scenario with a video streaming application for generating traffic is provided, consider an Edge server based on ARMv8 CPU architecture, and some components specifically developed by the Partners for the NANCY project; these components are integrated in the Italtel environment and are part of the testbed topology set-up: </span></p> <p><span><span>·<span> </span></span></span><span>the “<strong>Anomaly detection application module</strong>”, provided by CRAT partner (Consortium for Research in Automation and Telecommunications) and focusing on detecting anomalous utilization of computing and network resources</span></p> <p><span><span>·<span> </span></span></span><span>the” <strong>VOSySmonitor and vManager</strong>”, provided by VOS (Virtual Open Systems), a novel virtualization technology, designed by NANCY, to host offloaded VNFs, which can be deployed in a bare-metal fashion ensuring “application isolation”</span></p> <p><span><span>·<span> </span></span></span><span>“<strong>Malicious traffic generation application</strong>” and “<strong>PAPI extension for ARM performance counter interaction</strong>”, provided by SSS (Sant'Anna Higher School of Pisa) for the technology validation in the context of the Italian testbed set-up</span></p> <p><span><span>·<span> </span></span></span><span>“<strong>Italtel VTU application</strong>”, provided by ITL, which can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters.</span></p> <p><span>The dataset contains time series, collected by transmitting video content through the Italtel VTU application. The collected dataset is representative resource-intensive video traffic that has the greatest impact on 5G/B5G network planning and provisioning. The video streaming dataset includes data directly measured while watching the video on the mobile devices and data directly measured while generating downstream video stream traversing the gNB (i.e., downstream scenario), and vice versa (i.e., upstream scenario). In each experiment, we fixed the location of the UE and the gNB.</span></p>
FractiScope Research Project Foundational Papers
<p>Welcome to the official Zenodo repository for the FractiScope Research Project Foundational Papers. Here, we archive groundbreaking research that explores and validates the principles of fractal intelligence, recursive dynamics, and the SAUUHUPP framework as the foundation of a Networked Fractal Computing AI Universe.</p> <p> </p> <p>These papers provide essential insights into the fractal architecture of reality, offering new paradigms for science, technology, and humanity. From theoretical explorations to empirical validations, our work demonstrates the transformative power of fractal intelligence across domains such as neural networks, climate modeling, genomics, and universal harmony metrics.</p> <p> </p> <p>We invite researchers, innovators, and visionaries to join this growing community, collaborate on pioneering studies, and contribute to a deeper understanding of our fractalized universe.</p> <p> </p> <p>Explore. Discover. Connect.</p> <p>For more information, visit <a href="https://github.com/AiwonA1/FractiAI">FractiAI GitHub</a> or contact us at info@fractiai.com.</p>
Replication package of the Paper "On the Relationships between the Initial Ecology Indicators of OSS Projects and Their Long-Term Popularity: An Exploratory Study on GitHub"
<p>The dataset is collected from GitHub API and GitHub GHTorrent dataset. A brief description of each folder is provided below:</p> <p><strong>1. "Dataset_and_Code" folder</strong></p> <p>Contains the final dataset and algorithms</p> <p><strong>2. "Test_parameters" folders </strong></p> <p>Includes datasets under different parameters and the corresponding reproduction code, which corresponds to the first experiment of RQ1</p> <p><strong>3. "Compare_baseline"folder</strong></p> <p>Includes the dataset used by our method, the dataset used by the baseline method, and the reproduction code, corresponding to the second experiment of RQ1</p> <p><strong>4. "PLS" folder</strong></p> <p>Includes the dataset used by PLS and the corresponding reproduction code, which corresponds to experiment of RQ2</p> <p><strong>5. " Indicator_Calculation " folder</strong><br>It contains the calculation methods for various metrics in the paper, as well as the corresponding key files. </p> <p><span><strong>6. " Appendix " folder</strong><br></span><span>It includes supplementary materials such as the methodology for metric calculations to address the reviewers' questions.</span> </p> <p><strong>Note</strong></p> <p>We have provided a corresponding README file in each folder to help others reproduce our results</p>
Thermo-staat project citizen science indoor temperature and humidity measurements for researching heat stress in the Netherlands
<p>These datasets contains raw data collected within the Thermo-staat citizen science project per the full year.<br>The aim of the project was to get insight in heat stres and if this problem is subject to social inequality.<br>Measurements contain indoor temperature and humidity data. Sensors in the dataset are bound to different rooms in a home and have different periods of activity. Each sensor has metadata about the room/situation attached. The aim was to get most sensors active in the summer.<br>Measurements where not done at a constant frequency, depending on the connectivity sensors did send up to once every 20 seconds.</p> <p>More information on the project on the website of the <a href="https://thermo-staat.nl/">Thermo-staat project</a></p> <p>More infromation on the <a href="https://thermo-staat.nl/download">data</a> </p> <p>Live data collection <a href="https://thermo-staat.waag.org/api/status_all">status</a> </p>
Input data and outputs for the OCALM project
<p>This repository contain a zip file with input and output data for an experiment with OCALM (<a href="https://github.com/fanavarro/ocalm">https://github.com/fanavarro/ocalm</a>):</p> <ul> <li>input <ul> <li>ontologies: ontologies used as input (FoodOn, LKIF, GeneOntology), together with their normalized form.</li> <li>text <ul> <li>food_text: natural language text corpus about food, including the original and the processed text.</li> <li>gene_text: natural language text corpus about genetics, including the original and the processed text.</li> <li>legal_text: natural language text corpus about legal topics, including the original and the processed text.</li> </ul> </li> </ul> </li> <li>results: the results derived from comparing each ontology with each natural language text corpus by using OCALM.</li> <li>NCBO_Recommender_results: the results of the NCBO Recommender with the same experiment performed by OCALM.</li> <li>analysis.R: R script to get figures summarizing the results.</li> </ul> <p>The SNOMED ontology and the medical text corpus used for input were not included due to licensing issues; however, the results are included in this repository.</p>
Data products from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska"
<p>DEMs, orthophotos, glacier outlines, historical velocity, model outputs, and ice-penetrating radar data from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska". File structure is shown in the readme file.</p>
DataTD: A Dataset of Java Projects Including Test Doubles
<p>This dataset contains 1,070 open-source Java projects that include test doubles. The projects were mined from GitHub. The dataset was built by selecting all projects whose primary language is Java and that had at least five stars as of October 29, 2023. This list of projects is available in <code>java_repositories_with_five_stars.txt</code>. The 1,070 projects in this dataset use Maven as their build system, contain JUnit tests, and utilize Mockito to create test doubles. The projects are available in the <code>project.zip</code> archive file. Additionally, the dataset includes metadata about the projects, stored in the <code>projects.json</code> file. This metadata describes the characteristics of each project, along with test double definitions, stubbings, and verifications. Finally, we also provide the source code used to build DataTD, enabling future research on expanding and utilizing the dataset.</p>
Internet Appendix for: "Disentangling wake and projection effects in the aerodynamics of wind turbines with curved blades''
<p>This is the internet appendix of the paper: "Disentangling wake and projection effects in the aerodynamics of wind turbines with curved blades"</p>
GEOLAB - Transnational Access project JELLYFISh - Field testing of Medusa DMT
<p>The project <strong>JELLYFISh</strong> <em>(<strong>A Just-released innovativE in-situ soiL testing technoLogY (Medusa DMT/SDMT) For enhancing the resilience of the critical InfraStructure in Europe</strong></em><em>)</em> aims to contribute to the advancement of knowledge on geotechnical characterization of soil deposits commonly encountered in risk-sensitive areas (intermediate soils, soft clays, quick clays, loose sands), often associated to multiple geo-hazards that may negatively interact with CI networks. Improvements in geotechnical approaches to analysis and mitigation of such hazards, in order to increase the resilience of the CI, rely significantly on enhanced characterization of soil behaviour.</p> <p> </p> <p>The methodology employed for this purpose is the innovative Medusa (S)DMT in-situ soil testing technology. The research project is based on an extensive experimental in-situ testing program with Medusa (S)DMT in different soil types at benchmark Geo-Test Sites (NGTS), part of the research infrastructure managed by the NGI. A comprehensive high-quality soil database, including data from field and laboratory tests, published articles and reports, is available from NGI. The sites (target soil types) that were recognized of specific interest for this project are Halden (silt), Onsøy (soft clay), Tiller-Flotten (quick clay), and Øysand (sand).</p> <p>The project benefits from the collaboration of users from industry and academia, making use of the access to the GEOLAB facility to test and implement new technology solutions. The relevant Technology Readiness Level (TRL) of the project is in the group (TRL4-7), pertaining to technology development of solutions to enhance the resilience of the CI.</p> <p> </p> <p>The main objectives of the project and their significance in terms of innovation / advancement of knowledge are:</p> <ul> <li>Innovative approach for characterizing the in-situ behaviour of intermediate soils by Medusa DMT tests at variable pressurization/penetration rates, in combination with available data from variable-rate CPTU tests.</li> </ul> <ul> <li>Advancement in soil property characterization of soft clay deposits by innovative in-situ testing procedures (e.g., in-situ horizontal stress / coefficient of earth pressure at rest <em>K</em><sub>0</sub> from continuous measurement of total horizontal pressure during Medusa DMT penetration).</li> <li>Novel approach for mapping quick clay layers by innovative in-situ testing procedures (continuous measurement of total horizontal pressure during Medusa DMT penetration).</li> <li>Improvement of DMT interpretation in sand, including the investigation of the effect of fines content and partial drainage (to be introduced into DMT-based simplified methods for liquefaction assessment).</li> </ul>
Merseyside Local Election Results Project (1945-2020)
<p>The Merseyside Local Election Results Project dataset collects the results of local elections across Merseyside's local governments from 1945 to the present day. </p>
2017 SERDP Smoldering Combustion Project Field Data and Emissions Results
<p>2017 field data and emissions results from the SERDP funded study "Ignition, Propagation, and Emissions of Smoldering Combustion: Experimental Analysis and Physics-Based Modeling". Two field experiments were performed near Winthrop, Washington. The first set of plots (Winthrop #1) were established in duff near large trees prior to prescribed fires. Thermocouples were installed at specific depths to measure heating and rate of spread. At these plots emissions samples were collected at time interval as smoldering combustion progressed. At the second site (Winthrop#2) single points were ignited in duff and as smoldering advanced in a circular pattern emissions sample were collected at time intervals. The emissions samples were analyzed for carbon species by gas chromatography , and emission factors and rate of carbon release was developed from the results. </p>
Distribution of lemma "digital" in PD and TE projects (2016, 2019, 2021)
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Elevation projections for the Mekong delta (Vietnam) under sedimentation strategies, subsidence, compaction, and sea-level rise
<p>Modelled elevation projections for the Mekong delta (Vietnam) to 2050 under scenarios of fluvial sedimentation, organic accumulation, anthropogenic-accelerated subsidence, natural compaction, and global sea-level rise. Data is in meters above sea level and georeferenced (WGS84 UTM zone 48N).<br> For methodology and detailed description of the data, please see Dunn and Minderhoud (2021) DOI to follow, in which part of the dataset is presented in Figure 6.</p>
SNSF Spark project "Sonic Imagination" – Video documentation of on-site scenarios and interview excerpts
<p>We aimed to investigate the hypothesis that virtual sound sources in audio augmented environments are particularly suitable for triggering and directing imaginations within human inner perception. Our hypothesis was that the binaural listening to imaginary entities at the place of recording (so to speak 'in-situ') enhances the imagination in a special way, since sound as a non-visual medium favours the creation of images in human inner perception. We narrowed down our research question especially in regards to our practical experimentations to possible applications in areas that rely on the guided creation of individual or intersubjective imaginations, such as urban planning and scenario development, certain forms of trauma therapy, as well as audiovisual art and fiction.</p> <p>Further information: </p> <p><a href="https://www.ludwigzeller.net/projects/sonic-imagination/">https://www.ludwigzeller.net/projects/sonic-imagination/</a></p> <p><a href="https://p3.snf.ch/project-195868">https://p3.snf.ch/project-195868</a></p> <p> </p>
Seed size and capitulum position drive germination and dormancy responses to projected warming for the threatened dune endemic Cirsium pitcheri (Asteraceae)
<p>Among coastal plant species at risk from rapid environmental changes is the North American Great Lakes dune endemic Cirsium pitcheri. Despite being listed as federally threatened, little is known about how C. pitcheri seed attributes influence germination and dormancy-break patterns in the context of climate change. Following a previous work where we found differences in the number and weight of C. pitcheri seeds among capitulum positions and study sites, here we examine the effects of seed attributes (capitulum position, seed weight and site of origin) on the proportion and timing of C. pitcheri seed germination under temperature treatments that simulate projected warming in the Great Lakes (20/10°C, 25/10°C and 30/10°C day/night). Our results demonstrate that C. pitcheri produces diverse cohorts of seeds with seed attributes that significantly influence the timing and probability of germination over a three-year soil seed bank. C. pitcheri seed germination proportions were highest at 20°C and decreased successively at 25°C and 30°C. Seeds from terminal capitula had higher germination proportions and took longer to germinate than those from secondary capitula. The effect of seed weight on germination probability also depended on site of origin and capitulum position, with all effects varying in size and significance over time. Our results highlight the considerable differences in germination patterns exhibited by seeds from different capitulum positions and sites of origin and provide insight into the dormancy-break patterns that C. pitcheri might experience under the predicted temperature rise in the Great Lakes region of North America.</p>
Temperature and chemical composition of combustion gases over reaction time in several combustion tests conducted at a lab pilot plant to characterise a SRF prepared for an aluminium scrap pre-heating system (REVaMP project)
<p>Open access to experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant.Research pertaining to Task 1.1 (WP1), Deliverable D1. <br> Underlying data for the publication Acha, E.; Lopez-Urionabarrenechea, A.;Delgado, C.; et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers 2021, 13, 3807. https://doi.org/10.3390/polym13213807. Data related to Figures 3, 4, 5 in the article and Figures S3 and S5 of Supplementary materials of the manuscript.</p> <p>Subject: Study of the combustion of a SRF prepared from ASR in a lab-scale pilot plant consisting of a tank reactor and a packed-bed tubular reactor arranged in series, to evaluate the effects on kinetics and thermodynamics of the temperature and the type and flow rate of the oxidiser. Real-time measurements of the temperature of the tank, temperature of the gases and of the concentrations of O<sub>2</sub>, CO<sub>2</sub>, CO, N<sub>2</sub>O, NO<sub>2</sub>, NO, NH<sub>3</sub>, SO<sub>2</sub>, CH<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>3</sub>H<sub>8</sub>, C<sub>6</sub>H<sub>14</sub>, CH<sub>2</sub>O, HCl and HF in the combustion gases produced in 5 combustion runs performed at different reaction conditions. Useful information for designing the operation conditions of the SRF combustion chamber of the scrap pre-heater and for defining the flue gas cleaning requirements.</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.