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91 results for “collaborative research”
Addressing Mental Health Disparities in Refugee Children: A Community-based Participatory Research (CBPR) Collaboration
ClinicalTrials.gov study NCT02562794. IPD Sharing: Not stated. Countries: 1. Publications: 0.
From parachuting to partnership: Fostering collaborative research in protected areas
Open the record for dataset details and reuse information.
Research collaboration patterns in sustainable mining – a co-authorship analysis of publications
<p>This dataset includes data related to 4220 articles on sustainable mining published from 1983 to 2018. The Scopus database was selected as a data source. Detailed data applies to co-authored articles. The number of authors and affiliations (country, institution, sector) were taken into account. Data has been cleaned in terms of names of institutions and countries.<br> In given sets the following data were included:<br> - Distribution of articles in sustainable mining from 1983 to 2018<br> - Distribution of joint articles and the types of joint articles from 1983 to 2018<br> - Team size in terms of the number of authors of articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' institutions in articles in sustainable mining from 1983 to 2018<br> - Team size in terms of the number of authors' countries in articles in sustainable mining from 1983 to 2018</p> <p><strong>Please note, the field separator used in these files is a semicolon, while the decimal separator is a comma. Each of the files has two header lines.</strong></p>
Supplementary material 1 from: Campbell SE, Simberloff D (2022) Forty years of invasion research: more papers, more collaboration...bigger impact? NeoBiota 75: 57-77. https://doi.org/10.3897/neobiota.75.86949
Appendices S1, S2
Figure 5 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 5 - Example of new scatterplot function. Structural Foreground to Background Energy Ratio is positively related with Structural Contrast to Noise Ratio. Single data points can also be highlighted to detect outlers.
Figure 4 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 4 - Example of scatterplot function to display the relationship of metrics in longitudinal data
Figure 2 from: Keshavan A, Madan CR, Datta E, McDonough IM (2017) Mindcontrol: Organize, quality control, annotate, edit, and collaborate on neuroimaging processing results. Research Ideas and Outcomes 3: e12276. https://doi.org/10.3897/rio.3.e12276
Figure 2 - The longitudinal view of a single subject and their quality metrics over time. Clicking on a point on the plots on the left-hand side loads the correponding image on the right.
Figure 5 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 5 - Group 2 discussion: Strategies, Business Plan and EU BON sustainability (Credits: F. Wetzel)
Figure 4 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 4 - Visualisation of Lepidoptera density occurences: World Map (darker colors indicate a higher number of occurrences) and Lepidoptera occurences chart bar per year, exemplified with the country data of Germany (EU BON European Biodiversity Portal, beta version 11/2016).
Figure 2 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 2 - Potential organizational structure of a future EU BON, e.g. with a 'core EU BON' (blue rectangle). Presentation Dirk Schmeller (UFZ) in collaboration with Katherine Despot-Belmonte (UNEP-WCMC). (Credits: Pan X., 2015, CC BY 4.0)
Figure 1 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 1 - How do we get from data to decisions? Extract from a presentation by Lauren Weatherdon (UNEP-WCMC). Credit: Scriberia, CC BY 4.0
Figure 3 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 3 - Screenshot of the beta version of the EU BON European Biodiversity Portal (biodiversity.eubon.eu).
Figure 1 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 1 "Such collaboration helps the work spread" slide from John Hammerley's presentation during Collaborations Workshop 2018.
Figure 4 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 4 gov.uk report pipeline slide from Matthew Upson's presentation during Collaborations Workshop 2018.
Figure 3 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 3 Data presentation in spreadsheets slide from Naomi Penfold's presentation during Collaborations Workshop 2018.
Figure 2 from: Costa da Silva R, Sufi S, Aragon Camarasa S (2019) Collaborations Workshop 2018 (CW18) Report – Culture Change, Productivity and Sustainability. Research Ideas and Outcomes 5: e30250. https://doi.org/10.3897/rio.5.e30250
Figure 2 WSSSPE5.1 speed blog mapped slide from Daniel S. Katz's presentation during Collaborations Workshop 2018.
Virtual presentation of Collaboration with the Researchers – Content, Presentation systems and Techniques
<p>Virtual presentation of "<strong>Collaboration with the Researchers – Content, Presentation systems and Techniques</strong>" for <strong><a href="https://adholibdh.github.io/dh2019-preconference/">Libraries As Research Partner in Digital Humanities .</a></strong></p>
Figure 1 from: Smith V, Rycroft S, Brake I, Scott B, Baker E, Livermore L, Blagoderov V, Roberts D (2011) Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science. ZooKeys 150: 53-70. https://doi.org/10.3897/zookeys.150.2193
Figure 1 - Scratchpad usage statistics from February 2007 to September 2011. The black dashed line represents the number of Scratchpad community sites (in hundreds) and the blue solid line represents the number of registered users (in thousands). As of September 2011 we have switched to recording the number of active users (currently 4424) since this figure provides a more accurate guide to usage.
Figure 2 from: Smith V, Rycroft S, Brake I, Scott B, Baker E, Livermore L, Blagoderov V, Roberts D (2011) Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science. ZooKeys 150: 53-70. https://doi.org/10.3897/zookeys.150.2193
Figure 2 - Screenshots of the Scratchpad 2 publication module showing an example workflow. Top, the section writing tool showing material and methods section; middle, the relationship selector that allows a taxon and additional materials to be associated with a section of the publication; and bottom, supplementary files such as illustrations, photos or graphs can be added to complete the publication.
Chronic Prostatitis Collaborative Research Network Clinical Trial- Ciprofloxacin and Tamsulosin
ClinicalTrials.gov study NCT04552431. IPD Sharing: YES. Countries: 0. Publications: 1.
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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.