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123 results for “Research Infrastructure”
Figure 7 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 7 Cost per Item (€ PPS).
Figure 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
Figure 1 Cost of consumables per 100 specimens.
Figure 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
Figure 3 Range of annual throughput per person by specimen type.
Figure 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
Figure 4 Total Monthly Throughput by Total Staff Orange = herbarium; Blue = pinned insects.
Figure 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
Figure 2 Fixed and variable costs as percentages (%) of overall annual costs.
Figure 9 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 9 Average cost per item (€ PPS) compared to total annual throughput per person (Items).
Figure 1 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 1 The DiSSCo programme with all strategically aligned projects.
Figure 6 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 6 Simulating inflation, between 2024 and 2040 – Basic number: 2% inflation per year.
Figure 8 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 8 Simulation of inflation, Model B.
Figure 7 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 7 Simulation of inflation, Model A.
Figure 9 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 9 Simulation of inflation, Model C.
Figure 1 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 1 DiSSCo timeline.
Figure 11 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 11 DiSSCo national contribution models.
Figure 2 from: Landel S, Lymer G, Pasterk M, Guiraud M, Worley K (2024) A report on recommendations for the most suitable financial contribution model for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo-RI). Research Ideas and Outcomes 10: e117217. https://doi.org/10.3897/rio.10.e117217
Figure 2 DiSSCo general membership fee calculation model.
Figure 4 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 4 LifeWatch web service taxon match list. Screenshot captured 10 Jan 2024.
Figure 3 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 3 LifeWatch web service data upload screen. Screenshot captured 10 Jan 2024.
Figure 1 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 1 COL Checklistbank cross dataset search. Screenshot captured 10 Jan 2024.
Figure 2 from: Islam S, Papale D, Vaira L, Rosati I, Peterseil J, Pichot C (2024) Navigating taxonomic complexity: A use-case report on FAIR scientific name-matching service usage in ENVRI Research Infrastructures. Research Ideas and Outcomes 10: e121871. https://doi.org/10.3897/rio.10.e121871
Figure 2 COL name match tool for bulk input. Screenshot captured 10 Jan 2024.
Figure 6 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 6 - Fig. 6: Participants of the 4th EU BON Stakeholder Roundtable (Credits: F. Wetzel).
Figure 1 from: Duin D, van den Besselaar P (2011) Studying the effects of virtual biodiversity research infrastructures. ZooKeys 150: 193-210. https://doi.org/10.3897/zookeys.150.2164
Figure 1 - Brokerage and structural holes.
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.