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1,453 results for “Outcome research”
Supplementary material 2 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
The Content Directors Audience Profile
Supplementary material 4 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
The Researcher Audience Profile
Supplementary material 8 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Value Map for Researchers
Supplementary material 7 from: Chodacki J, Habermann T, Hendricks G, Kaiser K, Kemp J, Meadows A, Paglione L, Pentz E, Ratner H, Reeves P, Schneider J, Stacey S, Urberg M (2020) Metadata 2020 Workathon Proceedings - Sept 2019. Research Ideas and Outcomes 6: e52878. https://doi.org/10.3897/rio.6.e52878
Value Map for Policy/ Society Influencers
Figure 1 from: Pericleous C, Eliades N-GH (2020) An approach for the mass propagation of Cupressus sempervirens L. (Cupressaceae), for quality propagule production. Research Ideas and Outcomes 6: e52947. https://doi.org/10.3897/rio.6.e52947
Figure 1 Effectiveness of shoots rooting according to the sampled part from each shoot (basal, middle and terminal cutting).
Supplementary material 2 from: Pericleous C, Eliades N-GH (2020) An approach for the mass propagation of Cupressus sempervirens L. (Cupressaceae), for quality propagule production. Research Ideas and Outcomes 6: e52947. https://doi.org/10.3897/rio.6.e52947
Results of T-test between independent samples of rooting shoots in bench and root trainers.
Figure 1 from: Katsanevakis S, Tsirintanis K, Sini M, Gerovasileiou V, Koukourouvli N (2020) Aliens in the Aegean – a sea under siege (ALAS). Research Ideas and Outcomes 6: e53057. https://doi.org/10.3897/rio.6.e53057
Figure 1 Schematic representation of the ALAS concept. By conducting a number of field experiments and surveys to assess impacts of invasive alien species on marine habitats, large-scale habitat mapping of the entire marine area of the Aegean Sea, and distribution modelling of all invasive alien species, it will be possible to conduct a large-scale cumulative impact assessment of invasive alien species on the marine ecosystems of the Aegean Sea.
Figure 2 from: Katsanevakis S, Tsirintanis K, Sini M, Gerovasileiou V, Koukourouvli N (2020) Aliens in the Aegean – a sea under siege (ALAS). Research Ideas and Outcomes 6: e53057. https://doi.org/10.3897/rio.6.e53057
Figure 2 Workflow chart illustrating the main work packages (WP in bold) and tasks (regular) and their links (arrows).
Figure 2 from: Dueñas LF, Cedeño-Posso C, Sanchez JA, Herrera S (2020) Deep-sea Coral Taxonomy Workshop, Colombia 2019. Research Ideas and Outcomes 6: e53181. https://doi.org/10.3897/rio.6.e53181
Figure 2 Workshop Participants. Left to right, back row: Giovanni Chimienti, Nelson Manrique, Sandra Pareja, Katherine Mejía, Livia Loiola, Ana L. Pico, Cristina Cedeño. Middle row: Milena Benavides, Odalisca Breedy, Juan A. Sánchez, Poppy Keogh, Luisa F. Dueñas, Tina Molodtsova, Phil Alderslade, Ralf Cordeiro. Front row: Néstor Ardila, Andrés F. Molina, Viviana Sánchez, Salome Buglass, Adriana Sarmiento, Antonella Lavorato, Carlos E. Gómez, Marco Garzón, Renata Arantes.
Figure 1 from: Dueñas LF, Cedeño-Posso C, Sanchez JA, Herrera S (2020) Deep-sea Coral Taxonomy Workshop, Colombia 2019. Research Ideas and Outcomes 6: e53181. https://doi.org/10.3897/rio.6.e53181
Figure 1 Photographs representing different activities, and samples seen during Deep-Sea Coral Taxonomy Workshop, Colombia 2019.
Supplementary material 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Landsat Products Used
Figure 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 3 Mental health prescriptions vs winter-greenness at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Supplementary material 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
ESRI Shape file of SIMD DataZones
Figure 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 2 Sampling of a single data point, postcode EH8 9AJ (orange dot) within Data Zone S01008671 (black outline). The 100, 250 and 500 metre buffer zones are shown in orange. Blue dots are other sampling points. Green shading represents greenness (NDVI).
Figure 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 4 Mental health prescriptions vs seasonal difference at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Figure 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 1 An area of south central Edinburgh illustrating distribution of sample points within Data Zones. Background is OpenStreetMap. Black outlines are DataZone boundaries. Blue dots are small user postcode locations that are used for sampling. Green shading represents summer-greenness (NDVI).
Supplementary material 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Results Data Tables
Supplementary material 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Small User Postcodes
Figure 3 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 3 A lateral image of ReVILE with the side panel removed to show the camera (a), turntable (b), stepper motor (c), Arduino Uno and motor driver controllers (d), front light panels (e), back light panel (f), light shield (g) and position of vial (arrow).
Figure 1 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 1 MALICE vial setup showing the acrylic mirrors (a) LEGO mirror tilt arms (b), formex base (c) and LEGO friction joint (d)
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.