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208 results for “research and development”

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ClinicalTrials.gov32/100

Allergy UK Research and Development Nurse Project

ClinicalTrials.gov study NCT03826953. IPD Sharing: NO. Countries: 1. Publications: 14.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Implementation of Job Rotation for the Development of Nursing Competencies and the Improvement of Organizational Health in a Department of Cardiovascular Sciences: A Research Protocol

ClinicalTrials.gov study NCT06987487. IPD Sharing: NO. Countries: 0. Publications: 11.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Development and Research of an Individualized Intelligent Platform for Rehabilitaion in Parkinson's Disease

ClinicalTrials.gov study NCT03212014. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

AIDI - Research & Development of a Multisensor-Based Machine Learning Technology for Real-Time Automated Detection of COVID-19 Decompensation

ClinicalTrials.gov study NCT05220306. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Research, Development, and Application of Intelligent Diagnostic System for Orthostatic Hypotension

ClinicalTrials.gov study NCT07309666. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon

Open the record for dataset details and reuse information.

publicAug 2017View details →
dryad32/100

Data from: Detecting seminal research contributions to the development of ethnobotany by reference publication year spectroscopy (RPYS)

Open the record for dataset details and reuse information.

publicMay 2022View details →
dryad32/100

Development and application of a hybrid implementation research framework to understand success in reducing under-5 mortality in Rwanda

Open the record for dataset details and reuse information.

publicNov 2021View details →
zenodo28/100

Competencies Development based on Thinking-based Learning in Software Engineering: An Action-Research

<p>For a long time, the teaching of Software Engineering (SE) has been carried out in a traditional way without taking into account relevant aspects of the student&rsquo;s personality reflected in their learning. There is still a lack of research focused on SE that promotes adequate teaching methods so that new generations of students and future professionals have a humanistic, critical and reflexive formation. A novel teaching method called Thinking-based Learning (TBL) was proposed to develop effective thinking in students using thinking skills, habits of the mind and the metacognition during the teaching of subject content. The action research as a methodology to improve their teaching practices in education has been seen as a positive change in educational practices. The aim of this research was to perform an action research based on TBL method to assist in the development of competencies that are less attended by traditional methods currently used during the teaching and learning process of students in SE. Moreover, a Systematic Literature Review (SLR) was conducted to identify gaps in the contribution of teaching methods in SE until the present. The data are obtained by comparing the competencies achieved with TBL with the traditional methods previously used in the discipline, and additionally with the data obtained from the SLR. The results indicated that critical thinking, autonomy, problem solving and creativity were the most developed competencies by students during the course period. We are planning to expand the TBL and applying it in other disciplines of the same course as well as in other research areas to determine its functionality and interdisciplinarity. We hope that this experience with TBL will encourage the development of competencies among SE teachers.</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Figure 6 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 6 An example of a biomechanical exoskeleton (© Yuichiro C. Katsumoto / Wikimedia Commons / CC-BY 2.0).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 5 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 5 VERRSABALL 'jamming' gripper capable of pressure-sensitivity and picking up irregularly shaped objects (© Empire Robotics.

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 2 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 2 Example of robot arm with a camera. The object is placed on a surface or turntable, and the robot does not physically interact with the object (© CultLab3D).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 10 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 10 The ROBOT(E) remotely operable digital imaging system from Wheeler et al. 2012 (©Erik Holsinger, Arizona State University).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 11 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 11 ROBOCASE with robot arm and automated retrieval designed for closer inspection of items in an exhibition (© Bruns).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 4 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 4 mGrip, the soft robotic modular tooling system - potentially suitable for picking up pressure-sensitive and small objects (© Soft Robotics).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Figure 3 from: Hardy H, van Walsum M, Livermore L, Walton S (2020) Research and development in robotics with potential to automate handling of biological collections. Research Ideas and Outcomes 6: e61366. https://doi.org/10.3897/rio.6.e61366

Figure 3 Robot arm with vacuum gripper, potentially suitable for lifting containers of NH specimens (© Universal Robots).

opencc-by-4.0Dec 2020View details →
zenodo28/100

Supplementary material 1 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294

Glossary

opencc-zeroOct 2023View details →
zenodo28/100

Supplementary material 2 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294

ANNEXE 1: Additional and non-EU funding sources

opencc-zeroOct 2023View details →
zenodo28/100

Fig 3 from: Srygley RB, Senior LB (2024) Illustrated review of Mormon cricket Anabrus simplex (Tettigoniidae, Tettigoniinae) embryonic development. Journal of Orthoptera Research 33(1): 87-93. https://doi.org/10.3897/jor.33.98763

Fig 3 Phase III: Mesentrepsis. Images left to right showing the posterior end of the egg: A. Stage 12; B. Stage 13; C. Stage 14; D. Lateral view of same stage 14 embryo. Scale bars: 2 mm.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Fig 2 from: Srygley RB, Senior LB (2024) Illustrated review of Mormon cricket Anabrus simplex (Tettigoniidae, Tettigoniinae) embryonic development. Journal of Orthoptera Research 33(1): 87-93. https://doi.org/10.3897/jor.33.98763

Fig 2 Phase II: Anatrepsis. Images show the posterior end of the egg: A. Stage 7 to 8; B. Stage 9; C. Stage 10; D. Stage 11 with micropyles clearly visible. Scale bars: 2 mm.

opencc-by-4.0Mar 2024View details →

ScienceDex guides

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

Compare curated 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.

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