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1,453 results for “Outcome research”
Supplementary material 3 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
WP7 MS45 Centres of Excellence - Service Requirements
Supplementary material 2 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
WP7 MS45 Centres of Excellence - Service x Levels
Supplementary material 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
WP7 workshop for identification of provisional centres of excellence for digitisation
Figure 2 from: Owen D, Groom Q, Hardisty A, Leegwater T, Livermore L, 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: e58030. https://doi.org/10.3897/rio.6.e58030
Figure 2 A possible semi-automatic digitisation workflow to extract data from the labels of collection specimens.
Supplementary material 1 from: Häberlein L, Claas O (2020) Dataset: Feedback on the Path2Integrity learning cards for research integrity. Research Ideas and Outcomes 6: e58434. https://doi.org/10.3897/rio.6.e58434
Dataset: Feedback on the Path2Integrity learning cards for research integrity
Figure 2 from: Balzan MV, Tomaskinova J, Collier MJ, Dicks L, Geneletti D, Grace M, Longato D, Sadula R, Stoev P, Sapundzhieva A (2020) Building capacity for mainstreaming nature-based solutions into environmental policy and landscape planning. Research Ideas and Outcomes 6: e58970. https://doi.org/10.3897/rio.6.e58970
Figure 2 (a) Assessing the relationship between green infrastructure cover (GI) in each local council and average ES capacity and (b) population density (Adapted from: Balzan 2017).
Supplementary material 4 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Books - Original Responses
Supplementary material 5 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost books - RBINS
Supplementary material 3 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Books - Flattened Data
Figure 6 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Figure 6 Returned costbooks versus stated capability to digitise from Cocks et al. (2020). Legend: Graded shaded = stated capability to digitise. Black tickbox = completed costbook returned for that category. RBGK 'Other' = fungi collection. MNHN 'Herbarium sheets' = two workflows (day-to-day digitisation in the museum, and Recolnat project workflow). MNHN 'Other' = marine invertebrates collection. UTARTU 'Other' = lichens and fungi. NHMUK 'Pinned insects' = two workflows (standard workflow with label removal, and ALICE workflow with label remaining in situ).
Supplementary material 1 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Template Data Extraction Script
Supplementary material 2 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Costbook Template
Figure 1 from: Sapundzhieva A, Balzan MV, Tomaskinova J, De Santis L, Collier MJ, Williams J, Dicks L, Grace M, Geneletti D, Demirova I (2020) ReNature: creating the first nature-based solutions compendium in the Mediterranean. Research Ideas and Outcomes 6: e59646. https://doi.org/10.3897/rio.6.e59646
Figure 1 The ReNature nature-based compendium flyer was sent and handed out to key stakeholders to invite them to submit case-studies for inclusion in the online compendium.
Figure 8 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 8 Schematic diagram of the methodological process through which the chitons will pass to fulfil each of the proposed themes.
Figure 7 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 7 Group of volunteers and collaborators of the QUITÓN PROJECT in FACIMAR-UAS. The project has a logo registration (brand), which is used on the shirts. Shirts used in the field and presentations (congresses, workshops) are shown.
Figure 6 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 6 Locations of Chiton articulatus collection. The star indicates the local headquarters of this project. The base map was taken from Instituto Nacional de Estadística, Geografía e Informática (INEGI). https://www.inegi.org.mx/
Figure 3 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 3 The food menu of some restaurants in Acapulco, Guerrero, including a dish with chiton, common name "Cucaracha/cockroach".
Figure 2 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 2 Example of sale and consumption of meat (foot, in colloquial Spanish "Lengua") of Chiton articulatus. Sale of chitons in beaches of Acapulco (left upper). Sale of chitons in streets of Pochutla, Oaxaca, close to Huatulco (left lower). Dish (Lengua a la Mexicana) in a restaurant in Huatulco (right upper). Artisanal fishing of chitons for a family weekend reunion at Puerto Angel, Oaxaca close to Huatulco (right lower).
Figure 9 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 9 Collage (application letters) of the procedure to request the recognition and incorporation of this Chiton articulatus mollusc into the National Fisheries Chart.
Figure 2 from: Haak L, Greene S, Ratan K (2020) A New Research Economy: Socio-technical framework to open up lines of credit in the academic community. Research Ideas and Outcomes 6: e60477. https://doi.org/10.3897/rio.6.e60477
Figure 2 Collaborative Workflow of an Incremental Dataset in a Consortium Setting (click to view enlarged slide in Present mode). The workflow of an investigator's incremental dataset is shown as it is incorporated into the Facilitated Living Review (FLR), moving along a continuum from closed to open review. (1) After ideation and hypothesis formation by the team, early experimentation creates an incremental dataset. (2) The dataset is shared and discussed with the Project X research consortium, then iterated. (3) The v.3 dataset is shared with the consortium for further analysis, positioning, and citation in the context of the latest published evidence in the FLR. (4) The FLR with its cited, organically peer reviewed dataset is posted on a preprint server under the authorship of the FLR consortium. (5) Feedback from the broader community may lead to further iteration of the dataset at the discretion of the project team in the next round of the FLR revisions.
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.