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1,453 results for “Outcome research”

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Figure 2b from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852

Figure 2b Community survey: digitalisation status, solutions to store data and data types. -

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Figure 1 from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852

Figure 1 Key data from the community survey in 2019 with N=530 responses.

opencc-by-4.0Jul 2020View details →
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Figure 2a from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852

Figure 2a Community survey: digitalisation status, solutions to store data and data types. -

opencc-by-4.0Jul 2020View details →
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Figure 13 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 13 Gold standard versus NER output.

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Figure 12 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 12 An example of a specimen label.

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Figure 10 from: Owen D, Livermore L, Groom Q, Hardisty A, Leegwater T, van Walsum M, Wijkamp N, Spasić I (2020) Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections. Research Ideas and Outcomes 6: e55789. https://doi.org/10.3897/rio.6.e55789

Figure 10 Results per field from Google Cloud Vision.

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Figure 2 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 2 Specimen BM013712463 - Dolichos linearifolius I.M.Johnst.

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Figure 6 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 6 Specimen BM013712091 - Sphenostylis marginata subsp. erecta (Baker f.) Verdc.

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Figure 1 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 1 Specimen BM013711060 - Vigna oblongifolia A.Rich.

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Figure 5 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 5 Specimen BM013711153 - Vigna racemosa (G.Don) Hutch. & Dalziel.

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Figure 4 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 4 Specimen BM013712599 Dolichos kilimandscharicus var. kilimandscharicus.

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Figure 3 from: Walton S, Livermore L, Dillen M, De Smedt S, Groom Q, Koivunen A, Phillips S (2020) A cost analysis of transcription systems. Research Ideas and Outcomes 6: e56211. https://doi.org/10.3897/rio.6.e56211

Figure 3 Specimen BM013712122 - Sphenostylis stenocarpa (Hochst. ex A.Rich.) Harms.

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Figure 1 from: Briney KA, Coates H, Goben A (2020) Foundational Practices of Research Data Management. Research Ideas and Outcomes 6: e56508. https://doi.org/10.3897/rio.6.e56508

Figure 1 Simple workflow diagram for a Western Blot.

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Figure 2 from: Briney KA, Coates H, Goben A (2020) Foundational Practices of Research Data Management. Research Ideas and Outcomes 6: e56508. https://doi.org/10.3897/rio.6.e56508

Figure 2 Example folder structure and file naming convention for a research team.

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Figure 7 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 7 NFDI4Culture's task areas in alignment to the RDM life cycle.

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Figure 4 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 4 Protease residual activity as a function of CO2 density at 40 °C.

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Figure 9 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 9 The fillet softening development in 14 days storage at 4 °C.

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Figure 3 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 3 Protease residual activity as a function of CO2 pressure at 40 °C.

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Figure 5 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 5 Organizational structure and governance.

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Figure 7 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 7 Residual microbial counts as a function of CO2 density at 40 °C.

opencc-by-4.0Aug 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record