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1,453 results for “Outcome research”
Figure 6 from: Sugiharto SP, Bintoro N, Karyadi JNW, Pranoto Y (2020) Supercritical carbon dioxide pasteurization to reduce the activity of muscle protease and its impact on physicochemical properties of Nile tilapia. Research Ideas and Outcomes 6: e56887. https://doi.org/10.3897/rio.6.e56887
Figure 6 Residual microbial counts as a function of CO2 pressure at 40 °C.
Figure 5 from: Sugiharto SP, Bintoro N, Karyadi JNW, Pranoto Y (2020) Supercritical carbon dioxide pasteurization to reduce the activity of muscle protease and its impact on physicochemical properties of Nile tilapia. Research Ideas and Outcomes 6: e56887. https://doi.org/10.3897/rio.6.e56887
Figure 5 The relationship between CO2 pressure and CO2 density at 40 °C.
Figure 4 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 4 Development of the consortium.
Figure 1 from: Sugiharto SP, Bintoro N, Karyadi JNW, Pranoto Y (2020) Supercritical carbon dioxide pasteurization to reduce the activity of muscle protease and its impact on physicochemical properties of Nile tilapia. Research Ideas and Outcomes 6: e56887. https://doi.org/10.3897/rio.6.e56887
Figure 1 Schematic installation of pressure vessel.
Figure 3 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 3 Participating academic societies.
Figure 1 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 1 Communities, Co-Applicants and Participants of NFDI4Culture
Figure 2 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 2 Network of co-applicants
Figure 3 from: Walton S, Livermore L, Bánki O, Cubey RWN, Drinkwater R, Englund M, Goble C, Groom Q, Kermorvant C, Rey I, Santos CM, Scott B, Williams AR, Wu Z (2020) Landscape Analysis for the Specimen Data Refinery. Research Ideas and Outcomes 6: e57602. https://doi.org/10.3897/rio.6.e57602
Figure 3 The proposed workflow technology stack for the SDR.
Figure 2 from: Walton S, Livermore L, Bánki O, Cubey RWN, Drinkwater R, Englund M, Goble C, Groom Q, Kermorvant C, Rey I, Santos CM, Scott B, Williams AR, Wu Z (2020) Landscape Analysis for the Specimen Data Refinery. Research Ideas and Outcomes 6: e57602. https://doi.org/10.3897/rio.6.e57602
Figure 2 Traffic-light results of gap analysis applied to overall proposed workflow.
Figure 5 from: Willemse L, Runnel V, Saarenmaa H, Casino A, Gödderz K (2020) Digitisation of private collections. Research Ideas and Outcomes 6: e57767. https://doi.org/10.3897/rio.6.e57767
Figure 5 Google Sheets approach.
Figure 4 from: Willemse L, Runnel V, Saarenmaa H, Casino A, Gödderz K (2020) Digitisation of private collections. Research Ideas and Outcomes 6: e57767. https://doi.org/10.3897/rio.6.e57767
Figure 4 The PlutoF module for GBIF publishing.
Figure 3 from: Willemse L, Runnel V, Saarenmaa H, Casino A, Gödderz K (2020) Digitisation of private collections. Research Ideas and Outcomes 6: e57767. https://doi.org/10.3897/rio.6.e57767
Figure 3 The PlutoF taxon occurrence management module.
Figure 1 from: Dixey K, Woodburn M, Hardy H, Livermore L, Smith VS (2020) Identification of provisional Centres of Excellence for digitisation of European natural science collections. Research Ideas and Outcomes 6: e57750. https://doi.org/10.3897/rio.6.e57750
Figure 1 Heat map matrix of Center of Excellence services versus organizational levels.
Figure 1 from: Hyvärinen M-T, Väinölä R, Väre H, Ståhls-Mäkelä G, Sihvonen P, Kuusijärvi A, Myllys L, Kröger B, Heikkinen M, Juslén A, Oinonen M, Schulman L (2020) General Collections Policy of the Finnish Museum of Natural History. Research Ideas and Outcomes 6: e58167. https://doi.org/10.3897/rio.6.e58167
Figure 1 The collection policies of the Finnish Museum of Natural History. * Not yet published
Figure 4 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 4 VDOIT activity diagram.
Figure 5 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 5 VDOIT deployment diagram.
Figure 3 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 3 VDOIT collaboration diagram.
Figure 6 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 6 VDOIT deployment diagram from user's perspective.
Figure 2 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 2 VDOIT sequence diagram.
Figure 1 from: Ahire DT (2020) Video Over Intranet (VDOIT). Research Ideas and Outcomes 6: e58504. https://doi.org/10.3897/rio.6.e58504
Figure 1 VDOIT use case diagram.
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.