Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,537
datasets available to search
ShareScore release 0.9.0
Dataset results
8,537 results for “Openness”
Figure 1 from: Hauschke C, Cartellieri S, Heller L (2018) Reference implementation for open scientometric indicators (ROSI). Research Ideas and Outcomes 4: e31656. https://doi.org/10.3897/rio.4.e31656
Figure 1 PM1 and PM2: Person months of the first or second project member; Q: quarter.
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>
Figure 2 from: Irawan DE, Kesmawan AP, Multazam MT, Kunto E (2019) GO-PUB: Open-Select-Submit. Research Ideas and Outcomes 5: e47232. https://doi.org/10.3897/rio.5.e47232
Figure 2 GO-PUB general components and workflow.
Figure 1 from: Irawan DE, Kesmawan AP, Multazam MT, Kunto E (2019) GO-PUB: Open-Select-Submit. Research Ideas and Outcomes 5: e47232. https://doi.org/10.3897/rio.5.e47232
Figure 1 Expected change in academic publishing.
Figure 1 in A comparative study on Ichthyofaunal diversity of two pristine streams of Achenkovil River in Southern Kerala with open and closed canopy
Figure 1. Map of a stretch of Achenkovil river showing the collection sites.
A unified flow resistance formular for open-channels with natural and engineered obstacles
<p>This repository contains data set used in the manuscript "A unified flow resistance formular for open-channels with natural and engineered obstacles" submitted to Water Resources Research by Xingyu Chen, Tao Wang, Jiamei Wang, Hongbo Ma, Marwan A. Hassan and Xudong Fu</p>
Single-arm, open-label, multicenter first in human study to evaluate the safety and performance of Dura Sealant Patch in reducing CSF leakage following elective cranial surgery: The ENCASE trial
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objective:</b> The Dural Sealant Patch (DSP) is designed for watertight dural closure after cranial surgery. The goal of this study is to assess, for the first time, safety and performance of the DSP as a means of reducing CSF leakage in patients undergoing elective cranial intradural surgery with a dural closure procedure.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Design:</b> First in human, open-label, single-arm, multicenter study with 360 days (12 months) follow up. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Setting: </b>Three large tertiary reference neurosurgical centers, 2 in the Netherlands and 1 in Switzerland. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Participants</b>: Forty patients undergoing elective cranial neurosurgical procedures, stratified into 34 supra- and 6 infratentorial trepanations.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Intervention:</b> Each patient received one DSP after cranial surgery and closure of the dura mater with sutures.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Outcome measures:</b> Primary composite endpoint was occurrence of one of the following events: postoperative percutaneous CSF leakage, intraoperative leakage at 20 cm H2O positive end-expiratory pressure or postoperative wound infection. Overall success was defined as achieving the primary endpoint in no more than 2 patients. Secondary endpoints were device related serious adverse events (SAEs) or adverse events (AEs), pseudomeningocele and thickness of dura + DSP. Additional endpoints were reoperation in 30 days and user satisfaction. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results:</b> No patients met the primary endpoint. No device related (S)AEs were observed. There were two incidences of self-limiting pseudomeningocele as confirmed on MRI. Thickness of dura and DSP were (mean +/- SD) 3.5 mm +/- 2.0 at day 7 and 2.1 mm +/- 1.2 at day 90. No patients were re-operated within 30 days. Users reported a satisfactory design and intuitive application.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><strong>Conclusions: </strong>DSP, later officially named Liqoseal, is a safe and potentially efficacious device for reducing CSF leakage after intracranial surgery, with favorable clinical handling characteristics. A randomized controlled trial is needed to assess Liqoseal efficacy against the best current practice for reducing postoperative CSF leakage.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Strengths and limitations</b></span></span></span></span></span></span></span></span></span></span></span></p> <ul> <li>The trial studies a device to prevent postoperative cerebrospinal fluid (CSF) leakage, which is one of the most common neurosurgical complications.</li> <li>The study protocol was performed in multiple centers, registered, pre-published and strictly followed.</li> <li>The composite endpoint of the trial reduced the number of inclusions needed.</li> <li>The study did not involve a comparison to current clinical standard and has a potential selection bias, so generalization of results with regard to DSP efficacy needs to be cautiously undertaken.</li> </ul>
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>
Training Skills in Minimally Invasive, Robotic and Open Surgery: Brain Activation as an Opportunity for Learning
<p>The advantages of the robotic approach in surgery are undisputed. However, during surgical training, how this technique influences the learning curve has not been described. We provide a tentative model for analyzing the learning curves associated with observation and active participation in learning different surgical techniques, using functional imaging. Forty medical students were enrolled and assigned to 4 groups who underwent training in robotic (ROB), laparoscopic (LAP), or open (OPEN) surgery, and a control group that performed motor training without surgical instruments. Surgical/motor training included six 1-h sessions completed over 6 days of the same week. All subjects underwent functional magnetic resonance imaging (fMRI) scanning sessions, before and after surgical training during. Twenty-three participants completed the study. The 3 surgical groups exhibited different learning curves during training. The main effects of the day of training (<em>p</em> < 0.01) and the group (<em>p</em> < 0.01) as well as a significant interaction of day of training group (<em>p</em> < 0.01) were observed. The performance increased in the first 4 days, reaching a peak at day 4, when all groups were considered together. The OPEN group showed the best performance compared to all other groups (<em>p</em> < 0.04). The OPEN group showed a rapid improvement in performance, which peaked at day 4 and decreased on the last day. Similarly, the LAP group showed a steady increase in the number of exercises they completed, which continued for the entire training period and reached a peak on the last day. However, the participants training in ROB surgery, after a performance initially indistinguishable from that of the LAP group, had a dip in their performance, quickly followed by an improvement and reaching a plateau on day 4. fMRI analysis documented the different involvement of the cortical and subcortical areas based on the type of training. Surgical training modified the activation of some brain regions during both observation and the execution of tasks. Differences in the learning curves of the 3 surgical groups were noted. Functional brain activity represents an interesting starting point to guide training programs.</p>
Open data for "High-performance lasers for fully integrated silicon nitride photonics"
<p>Available data for the results presented in "High-performance lasers for fully integrated silicon nitride photonics".</p>
Data from: Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community
<p>It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on > 100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 years are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human-environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community's use of NEON data, and opportunities for the next 10 years of NEON operations in emergent science themes, open science best practices, education and training, and community building.</p>
Figure 2 from: Schmidt S, Broad G, Stoev P, Mietchen D, Penev L (2013) The move to open access and growth: experience from Journal of Hymenoptera Research. Journal of Hymenoptera Research 30: 1-6. https://doi.org/10.3897/jhr.30.4733
Figure 2 - JHR Statcounter statistics, showing the number of visits to the website.
Figure 2 from: Kress W, Knapp S, Stoev P, Penev L (2012) On the front line of modern data-management and Open Access publishing: Two years of PhytoKeys – the fastest growing journal in plant systematics. PhytoKeys 19: 1-8. https://doi.org/10.3897/phytokeys.19.4501
Figure 2 - Taxonomic distribution by family of the published nomenclatural novelties in PhytoKeys.
Figure 5 from: Mietchen D, Hagedorn G, Willighagen E, Rico M, Gómez-Pérez A, Aibar E, Rafes K, Germain C, Dunning A, Pintscher L, Kinzler D (2015) Enabling Open Science: Wikidata for Research (Wiki4R). Research Ideas and Outcomes 1: e7573. https://doi.org/10.3897/rio.1.e7573
Figure 5 - Relations of Advisory Board, Steering Committee and General Assembly.
Figure 4 from: Mietchen D, Hagedorn G, Willighagen E, Rico M, Gómez-Pérez A, Aibar E, Rafes K, Germain C, Dunning A, Pintscher L, Kinzler D (2015) Enabling Open Science: Wikidata for Research (Wiki4R). Research Ideas and Outcomes 1: e7573. https://doi.org/10.3897/rio.1.e7573
Figure 4 - Pert chart explaining the main interactions of the work packages.
Figure 3 from: Mietchen D, Hagedorn G, Willighagen E, Rico M, Gómez-Pérez A, Aibar E, Rafes K, Germain C, Dunning A, Pintscher L, Kinzler D (2015) Enabling Open Science: Wikidata for Research (Wiki4R). Research Ideas and Outcomes 1: e7573. https://doi.org/10.3897/rio.1.e7573
Figure 3 - Timeline of work packages and their deliverables.
Figure 2 from: Sylvester SP, Soreng RJ, Peterson PM, Mitsy Sylvester MDPV (2016) An updated checklist and key to the open-panicled species of Poa L. (Poaceae) in Peru including three new species, Poa ramoniana, Poa tayacajaensis, and Poa urubambensis. PhytoKeys 65: 57-90. https://doi.org/10.3897/phytokeys.65.7024
Figure 2 - Poa tayacajaensis. Digitized holotype specimen Ó. Tovar. S. 2038 (US-2181284).
Figure 15 from: Syaukani S, Thompson GJ, Zettel H, Pribadi T (2016) A new species of open-air processional column termite, Hospitalitermes nigriantennalis sp. n. (Termitidae), from Borneo. ZooKeys 554: 27-36. https://doi.org/10.3897/zookeys.554.6306
Figure 15 - Nest of Hospitalitermes nigriantennalis sp. n. inside a standing dead Shorea sp. trunk.
Figure 1 from: Neittaanmäki P, Huttula T, Karvanen J, Frisk T, Tuomisto J, Simola A, Tuovinen T, Ropponen J (2016) Unicorn–Open science for assessing environmental state, human health and regional economy. Research Ideas and Outcomes 2: e9232. https://doi.org/10.3897/rio.2.e9232
Figure 1 - Links and interactions between the work packages
Figure 2 from: Neittaanmäki P, Huttula T, Karvanen J, Frisk T, Tuomisto J, Simola A, Tuovinen T, Ropponen J (2016) Unicorn–Open science for assessing environmental state, human health and regional economy. Research Ideas and Outcomes 2: e9232. https://doi.org/10.3897/rio.2.e9232
Figure 2 - Time line of the tasks in UNICORN-project
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.