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1,453 results for “Outcome research”
Figure 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 3 Phylogenetic tree of HTS sequences generated using qiime phylogeny align-to-tree-mafft-fasttree, accepting default parameters. The graphic was rendered using the Interactive Tree Of Life (Letunic and Bork 2019). An interactive version of this tree is available at https://itol.embl.de/tree/1641591522462921555104654. Colors hightlight major taxonomic groups.
Supplementary material 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Amplicon sequence variant table in standard text format
Figure 2 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 2 Comparison of identifications based on morphological and HTS methods. Columns are samples and rows are identifications. White: non-detections. Blue: morphological detections. Red: HTS detections. Purple: detections by both methods.
Supplementary material 2 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
RTL Genomics Data Analysis Methodology
Supplementary material 2 from: Veltjen E, Asselman P, Baert W, Baeyen S, Beirinckx L, Breyne L, Brosens D, Claerhout T, Cogneau S, Cox K, Cuypers L, Delgat L, Desmeth P, de Raad J, Esselens L, Eves Down M-R, Helsen P, Leliaert F, Meganck K, Pereboom Z, Smitz N, Sonet G, Trekels M, Vanden Broeck A, Van Driessche C, De Wever A (2024) The key to bringing DNA collections to the next level. Research Ideas and Outcomes 10: e135978. https://doi.org/10.3897/rio.10.e135978
Interactive format of the Key including the guidance documentation
Supplementary material 1 from: Veltjen E, Asselman P, Baert W, Baeyen S, Beirinckx L, Breyne L, Brosens D, Claerhout T, Cogneau S, Cox K, Cuypers L, Delgat L, Desmeth P, de Raad J, Esselens L, Eves Down M-R, Helsen P, Leliaert F, Meganck K, Pereboom Z, Smitz N, Sonet G, Trekels M, Vanden Broeck A, Van Driessche C, De Wever A (2024) The key to bringing DNA collections to the next level. Research Ideas and Outcomes 10: e135978. https://doi.org/10.3897/rio.10.e135978
Definitions
Figure 1 from: Mietchen D, Rasberry L, Morata T, Sadowski JP, Novakovich J, Heilman JM (2021) Developing a scalable framework for partnerships between health agencies and the Wikimedia ecosystem. Research Ideas and Outcomes 7: e68121. https://doi.org/10.3897/rio.7.e68121
Figure 1 Schematic overview of the steps involved in developing a public health agency model for Wikipedia
Figure 2 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 2 Overview of the proposed Open platform for Blended learning. [Screenshot inset of Science Communicator, Derek Muller, of Veritasium Science Blog from the TED Talent Search You-Tube channel].
Figure 1 from: Evans N, Marusic A, Foeger N, Lofstrom E, van Hoof M, Vrijhoef-Welten S, Inguaggiato G, Dierickx K, Bouter L, Widdershoven G (2021) Virtue-based ethics and integrity of research: train-the-trainer programme for upholding the principles and practices of the European Code of Conduct for Research Integrity (VIRT2UE). Research Ideas and Outcomes 7: e68258. https://doi.org/10.3897/rio.7.e68258
Figure 1 Academic partners, advisory board and their associated networks. As shown, the networks that VIRT2UE PI's are involved in, together cover all European countries.
Figure 1b from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 1b Engagement metadata of the English Wikipedia article "Vaccine hesitancy". - This is a Pageviews Analysis for that same article for the calendar year 2020. This screenshot is available via Wikimedia Commons under the terms of the Expat/ MIT license.
Figure 1a from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 1a Engagement metadata of the English Wikipedia article "Vaccine hesitancy". - Some experienced Wikipedia editors use account extensions to turn on the display of article metadata as seen here in the article header. The article is currently graded as "B" class on Wikipedia's quality scale. 1,031 Wikipedia editors have made 3,570 editorial revisions to the article since the article's creation on 15 April 2005. There are 428 registered Wikipedia editors who have put this article in their watchlist, which means that they have alerts about the article's development either whenever they request it or by some push notification. In the 30 days proceeding April 6, 2021 (when this screenshot was taken), this article has received 43,388 Wikipedia pageviews. The image is in the public domain and available via Wikimedia Commons.
Figure 5a from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 5a Sample visualizations of data from within the Wikipedia ecosystem that relate to COVD-19 vaccine hesitancy. - Frequency of terms appearing in a Wikipedia-indexed set of papers on COVID-19 vaccine hesitancy. This screenshot is in the public domain and available via Wikimedia Commons.
Figure 6 from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 6 SELF magazine provided this photograph by Heather Hazzan with a free and open copyright license (CC BY 2.0) for use in Wikipedia or any other publication which required vaccine illustrations. It is available via Wikimedia Commons.
Figure 5b from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 5b Sample visualizations of data from within the Wikipedia ecosystem that relate to COVD-19 vaccine hesitancy. - Tools in the Wikipedia ecosystem show the network relationship of terms in academic publications on COVID-19. This screenshot is in the public domain and available via Wikimedia Commons.
Figure 4 from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 4 The most accessed language versions of Wikipedia articles for "vaccine hesitancy" in 2020 were English, Italian, German, French, Russian, Spanish, Japanese, Chinese, Polish, Portuguese, and Arabic. This screenshot is available via Wikimedia Commons under the CC0 1.0 Universal Public Domain Dedication.
Figure 3 from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 3 Overview of pageviews for articles in the English Wikipedia's category for "vaccine hesitancy" over the course of 2020. This screenshot is available via Wikimedia Commons under the CC0 1.0 Universal Public Domain Dedication.
Figure 2 from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 2 This is a Pageviews Analysis of multiple English Wikipedia articles related to vaccine hesitancy. Data visualizations such as this give insight into reader demand by reporting user engagement with sets of Wikipedia articles over time. Among other values, the table gives reports for "views", a measure of readership; "class", a grade of the content quality; and "editors", which is a count of the number of people who submitted editorial content. Wikipedia editors use these metrics to prioritize development of popular articles in need of more quality content. This screenshot is available via Wikimedia Commons under the terms of the Expat/ MIT license.
Supplementary material 1 from: Hardisty AR, Addink W, Glöckler F, Güntsch A, Islam S, Weiland C (2021) A choice of persistent identifier schemes for the Distributed System of Scientific Collections (DiSSCo). Research Ideas and Outcomes 7: e67379. https://doi.org/10.3897/rio.7.e67379
The type specimen for Holorchis Castex; a case example
Figure 3 from: Hardisty AR, Addink W, Glöckler F, Güntsch A, Islam S, Weiland C (2021) A choice of persistent identifier schemes for the Distributed System of Scientific Collections (DiSSCo). Research Ideas and Outcomes 7: e67379. https://doi.org/10.3897/rio.7.e67379
Figure 3 Governance, operations, financing and architecture (GOFA) together delivering sustainability.
Figure 2 from: Hardisty AR, Addink W, Glöckler F, Güntsch A, Islam S, Weiland C (2021) A choice of persistent identifier schemes for the Distributed System of Scientific Collections (DiSSCo). Research Ideas and Outcomes 7: e67379. https://doi.org/10.3897/rio.7.e67379
Figure 2 Scoring of PID scheme optionsKey: MPA = Multi-Primary Administrator, RA = Registration Agency.
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.