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Figure 2 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 2 The open scientific process lifecycle by Sarretta 2018, inspired by Rüegg et al. 2014.
Figure 2 from: Hausken S, Barker-Ruchti N, Schubring A, Grau S (2018) Injury-Free Children and Adolescents: Towards Better Practice in Swedish Football (FIT project). Research Ideas and Outcomes 4: e30729. https://doi.org/10.3897/rio.4.e30729
Figure 2 FIT project timeline.
Figure 1 from: Hausken S, Barker-Ruchti N, Schubring A, Grau S (2018) Injury-Free Children and Adolescents: Towards Better Practice in Swedish Football (FIT project). Research Ideas and Outcomes 4: e30729. https://doi.org/10.3897/rio.4.e30729
Figure 1 FIT project player recruitment procedure.
Data From: The Future of OA: A large-scale analysis projecting Open Access publication and readership
<p>This is the raw data behind the publication on bioRxiv at https://doi.org/10.1101/795310: </p> <p><strong>Piwowar, Priem, Orr (2019) The Future of OA: A large-scale analysis projecting Open Access publication and readership. bioRxiv: <a href="https://doi.org/10.1101/795310">https://doi.org/10.1101/795310</a></strong></p> <p>The jupyter notebook that produces the manuscript using the data here is available at: <a href="https://github.com/Impactstory/future-oa">https://github.com/Impactstory/future-oa</a></p> <p> </p> <p>Summary:</p> <p>Understanding the growth of open access (OA) is important for deciding funder policy, subscription allocation, and infrastructure planning.</p> <p>This study analyses the number of papers available as OA over time. The models includes both OA embargo data and the relative growth rates of different OA types over time, based on the OA status of 70 million journal articles published between 1950 and 2019.</p> <p>The study also looks at article usage data, analyzing the proportion of views to OA articles vs views to articles which are closed access. Signal processing techniques are used to model how these viewership patterns change over time. Viewership data is based on 2.8 million uses of the Unpaywall browser extension in July 2019.</p> <p>We found that Green, Gold, and Hybrid papers receive more views than their Closed or Bronze counterparts, particularly Green papers made available within a year of publication. We also found that the proportion of Green, Gold, and Hybrid articles is growing most quickly.</p> <p>In 2019:</p> <ul> <li> <p>31% of all journal articles are available as OA</p> </li> <li> <p>52% of article views are to OA articles</p> </li> </ul> <p>Given existing trends, we estimate that by 2025:</p> <ul> <li> <p>44% of all journal articles will be available as OA</p> </li> <li> <p>70% of article views will be to OA articles</p> </li> </ul> <p>The declining relevance of closed access articles is likely to change the landscape of scholarly communication in the years to come.</p>
Sample dataset IBM (CHARIOT project)
<p>A dataset with historical data (in .csv files) from IBM existing Building Management System (BMS).</p> <p>Data shared for the purpose of CHARIOT project.</p>
GEOLAB - RES FLUCTIS project: Assessing River Embankments Stability to FLoods through Unsaturated Centrifuge Testing In transient Seepage conditions
<p>River floods rank among the most significant natural hazard in Europe, causing substantial economic and human losses and are frequently due to severe damages endured by water retaining earthworks, under extreme weather events. Forecasting models suggest that climate change will be a determining factor in intensifying the hydrological cycle, with a far-reaching impacts on runoff regimes of streams and watercourses, thus significantly reducing the return times of droughts and flood events. This means that existing water retaining infrastructures, such as earthen river embankments, are expected to withstand extreme stresses, being subjected to hydraulic loading hardly experienced in the past, in terms of duration and intensity. </p> <p>In this framework, a reliable assessment of the existing river embankments safety conditions, represents a key aspect to enhance the resilience of these critical infrastructures (CI). A satisfactory solution to this problem cannot disregard the partially saturated state of the earthfill, neither the role of river stage fluctuations on the seepage process within the embankments. Nevertheless, in the current engineering practice, these aspects are frequently neglected, mainly due to the difficulties in estimating the actual suction distribution and shear strength, thus providing erroneous conclusions on the effective safety margins towards potential failure mechanisms.</p> <p>The <strong>RES FLUCTIS (<em>Assessing River Embankments Stability to FLoods through Unsaturated Centrifuge Testing In transient Seepage conditions</em>)</strong> project aims at contributing to a better understanding of the effect of time-dependent hydraulic loadings on the stability of a river embankment model, subjected to simulated high-water events, through a series of centrifuge tests.</p> <p>The experiments were carried out at the Schofield Centre of the University of Cambridge (UK), on the 150 g-ton Turner beam centrifuge, with a nominal radius of 4.125 m and a payload of 1000 kg. In the first centrifuge test, water level was gradually increased, up to three incremental elevations, and each of them was maintained until a steady-state flow regime was established within the embankment body.</p> <p>A sequence of hydrometric peaks and drawdowns of constant intensity and duration, was applied in the second test, with the aim of replicating wetting-drying cycles, which river embankments typically experience under site conditions.</p> <p>The small-scale physical model, tested under the enhanced gravity field of 50 g, was characterized by a compacted embankment, made of a natural silty sand, representative for a typical embankment section of the Alpine and Apennine riverbank systems of the main river Po (Northern Italy), which have recently experienced multiple overall collapses and breaches. The earth structure was founded on a fully saturated homogeneous Speswhite kaolin layer, 1D consolidated.</p> <p>To investigate the hydro-mechanical behaviour and the possible failure mechanisms of the CI model, induced by stationary and transient hydraulic boundary conditions, in-house built miniaturized tensiometers, pore pressure transducers, displacement sensors, high-resolution cameras and flow meters were installed.</p> <p> </p> <p> </p> <p> </p> <p> </p>
USING EDUCATIONAL PROJECTS WITH THE HELP OF ICT IN THE EDUCATIONAL PROCESS
<p><em><span>This article reveals the problem of using the project method in the educational process with the help of information and communication technologies. The use of ICT tools when implementing a project in the educational process increases the effectiveness of students’ educational activities</span></em></p>
Anonymised survey data of beekeepers' perception of the PoshBee tool (Horizon EU PoshBee project).
<p>Anonymised data collected to investigate beekeepers' perceptions toward a new PoshBee tool (PoshBee EU project, funded by Horizon EU).</p>
GEOLAB - SAM-WT project
<p>This dataset contains the experimental data results of the GEOLAB Transnational Access project SAM-WT (Shared Anchor under Multidirectional Cyclic Loading for Floating Wind Turbines). The experimental work was performed at the Geotechnical Test Pit of the Technical University of Darmstadt, Germany, in 2024.</p> <p>Three lateral pile loading tests were conducted on a steel pile with a diameter of 325 mm and a length of 3 meters, embedded in dry sand within an indoor pit. These tests included a monotonic loading test (Test 0), a unidirectional cyclic loading test (Test 1), and a multidirectional cyclic loading test (Test 2). The cyclic tests comprised two cyclic packages with different mean and amplitude values, featuring 10,000 and 3,000 cycles, respectively. In all cases, the cyclic frequency was 0.125 Hz.</p> <p>This dataset includes:</p> <p>- A description of the experimental setup, test programme, and instrumentation, with detailed and comprehensive plans and photographs.<br>- The test result files, recorded by the 47 sensors that equipped the setup. The files contain the raw data as captured by the instruments.</p>
Dataset: SWP-SentiSurvey for Sentiment Analysis in Student Software Projects
<p><strong>Description</strong></p> <p>In 2022, we conducted a survey about the perceptions of student developers regarding sentiments in statements. We published a paper about the results. The dataset includes the survey questions and the answers of the total 81 participants.</p> <p><strong>Citation</strong></p> <p>Information on the study design and execution are presented in the paper linked below.</p> <p>Please, see also the references below for the papers to cite.</p>
ARTSOUNDSCAPES PROJECT - REPOSITORY OF ANECHOIC SOUNDS
<p>This dataset was organised by members of the Artsoundscapes project. It serves as a library of anechoic music and sounds created by the Artsoundscapes project. It includes musical pieces of a great variety of genres and styles to nourish the different research lines. The Venezuelan musician and instrument maker, Yonder Rodriguez, played diverse membranophones and several reconstructions of archaeological instruments, such as Palaeolithic bone pipes, whistles and bullroarers, diverse kinds of rattles and scrapers, and traditional and shamanic Amazonian instruments. Catalan traditional music and other foreign traditions, such as Altaian traditional music, were performed by Guillem Codern, a Catalan musician who is well versed in traditional Tuvan music, such as khoomei and other vocal styles. Aditionally, singers María Illa (female voice) and Julen Gerrikabeitia (male voice), performed a selection of contemporary the pop-rock pieces. More detail about the sound excerpts selected for the stimulus set is provided in the ARTSS-Anechoic recording list (excel file).</p> <p>Data collection was organized by Samantha López-Mochales and Raquel Jiménez-Pasalodos, assisted by Lidia Alvarez-Morales and Margarita Díaz-Andreu. All the sounds were recorded in uncompressed mono format in the anechoic chamber at the La Salle Acoustics Laboratory (Ramon Llull University, Barcelona, Spain) in July 2021. Dr Marc Arnela, Carme Julia Martínez Suquia and Raquel Aparicio-Terres helped during the recording sessions.</p> <p>For the intellectual rights and the distribution policy of the audio recordings in this dataset contact Dr Margarita Díaz-Andreu. If you use our dataset, please email us at <a href="mailto:artsoundscapesproject@gmail.com">artsoundscapesproject@gmail.com</a> and tell us about your research.</p>
Datasets and Coding Scripts for Project: Rationality in Sense of Control
<p>This data repository includes preprocessed EEG data from human participants that completed a value based decision-making task on computer. It also involves behavioral data and preprocessed csv files that statistical analyses ran. Finally, it involves relevant coding scripts for all the analysis conducted. </p>
CORDIS H2020 PROJECT DATA PROCESSED
<p>Dataset about research projects funded under the programme Horizon 2020, from 2014 to 2020. Each row corresponds to the participation of a specific organisation in a specific research project.</p>
CORDIS H2020 PROJECT DATA PROCESSED TEXT
<p>Dataset about research projects funded under the programme Horizon 2020, from 2014 to 2020. Each text file corresponds to a specific research project (grant agreement).</p>
Meteorological Data from Kardamyla, Chios: April 2024 Baseline Measurements for the MUSICA Project
<p>The present meteorological data is collected from the weather station in <strong>Kardamyla</strong>, a village in northern Chios, and is published on the <strong>Zenodo</strong> platform for open access. The Kardamyla area was selected due to its proximity to the location where the <strong>MUSICA</strong> project platform will be installed. The data includes measurements of temperature, rainfall, wind speed, and wind direction, and covers the period from April 1st to April 30th, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, with the goal of monitoring climate changes in the Kardamyla area and the broader region of Chios, particularly following the installation of the project's platform. The data presented here covers the period from April 2024, and new measurements will be regularly added as part of ongoing monitoring efforts to track changes in weather and climate conditions.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for April 2024</h3> <ul> <li><strong>Highest temperature</strong>: 28.7°C, recorded on April 2nd, 2024, at 17:50.</li> <li><strong>Lowest temperature</strong>: 8.1°C, recorded on April 21st, 2024, at 01:20.</li> <li><strong>Highest daily rainfall</strong>: 23.6 mm, recorded on April 20th, 2024.</li> <li><strong>Highest wind speed</strong>: 91.7 km/h, recorded on April 24th, 2024, at 00:40.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>
Meteorological Data from Kardamyla, Chios: May 2024 Baseline Measurements for the MUSICA Project
<h2><strong>May 2024 – Kardamyla (Chios)</strong></h2> <h3>Introduction</h3> <p>The present meteorological data is collected from the weather station in Kardamyla, located in Chios, and is published on the Zenodo platform for open access. The station is positioned at an elevation of 7 meters, and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from May 1st to May 31st, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, which aims to monitor climate changes in the Kardamyla area and the broader region of Chios. The data for May 2024 captures the gradual shift from spring to early summer, providing insights into the weather conditions in the northern part of the island.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for May 2024</h3> <ul> <li><strong>Highest temperature</strong>: 28.1°C, recorded on May 8th, 2024, at 12:30.</li> <li><strong>Lowest temperature</strong>: 9.2°C, recorded on May 14th, 2024, at 06:00.</li> <li><strong>Total rainfall</strong>: 5.4 mm, with the highest daily rainfall of 3.0 mm recorded on May 4th, 2024.</li> <li><strong>Highest wind speed</strong>: 54.7 km/h, recorded on May 31st, 2024, at 09:50.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>
Dataset for "Divergent climate constraints and growth projections of Scots pine across Eurasia"
<p>Dataset for anonymous review of "Divergent climate constraints and growth projections of Scots pine across Eurasia"</p>
Supplementary Data and Scripts for the Paper "Synchronous Development in Open-Source Projects: A Higher-Level Perspective"
<p>Anonymized data and scripts used to produce the results of the paper "Synchronous Development in Open-Source Projects: A Higher-Level Perspective".</p>
Anonymized data for paper "Cross-Project Defect Identification via Path-Based Semantic Feature Representation" submitted to ICSE 2022
<p>The project includes the dataset and code used in the submitted ICSE 2022 paper titled "# 971 Cross-Project Defect Identification via Path-Based Semantic Feature Representation"</p>
FIG. 2 in A biotic survey and inventory of the dynastine scarab beetles of Mesoamerica, North America, and the West Indies: review of a long-term, multicountry project
FIG. 2. — The many forms and sizes of Dynastinae. Photo: M. L. Jameson.
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.