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65 results for “collections digitisation”
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 2 from: Ahl LI, Bellucci L, Brewer P, Gagnier P-Y, Haston EM, Livermore L, De Smedt S, Hardy HM, Enghoff H (2023) Digitisation of natural history collections: criteria for prioritisation. Research Ideas and Outcomes 9: e114548. https://doi.org/10.3897/rio.9.e114548
ApMS1.3 Corpus of previous studies on prioritisation of digitisation compiled
Supplementary material 3 from: Ahl LI, Bellucci L, Brewer P, Gagnier P-Y, Haston EM, Livermore L, De Smedt S, Hardy HM, Enghoff H (2023) Digitisation of natural history collections: criteria for prioritisation. Research Ideas and Outcomes 9: e114548. https://doi.org/10.3897/rio.9.e114548
Additional literature searches
Supplementary material 4 from: Ahl LI, Bellucci L, Brewer P, Gagnier P-Y, Haston EM, Livermore L, De Smedt S, Hardy HM, Enghoff H (2023) Digitisation of natural history collections: criteria for prioritisation. Research Ideas and Outcomes 9: e114548. https://doi.org/10.3897/rio.9.e114548
Survey 2, Multiple-choice questionnaire
Supplementary material 1 from: Ahl LI, Bellucci L, Brewer P, Gagnier P-Y, Haston EM, Livermore L, De Smedt S, Hardy HM, Enghoff H (2023) Digitisation of natural history collections: criteria for prioritisation. Research Ideas and Outcomes 9: e114548. https://doi.org/10.3897/rio.9.e114548
ICEDIG and GBIF report
Figure 5 from: Tilley LJ, Woodburn M, Vincent S, Casino A, Addink W, Berger F, Bogaerts A, De Smedt S, French L, Islam S, Mergen P, Nivart A, Papp B, Petersen M, Santos C, Schiller EK, Semal P, Smith VS, Wiltschke K (2024) Systematic Design of a Natural Sciences Collections Digitisation Dashboard. Research Ideas and Outcomes 10: e118244. https://doi.org/10.3897/rio.10.e118244
Figure 5 Third page of Pilot CDD, which helps users find the location of collections in Europe based on criteria: Storage, Digitisation level, Discipline, Taxonomy, Stratigraphy (Licence CC-BY).
Figure 4 from: Tilley LJ, Woodburn M, Vincent S, Casino A, Addink W, Berger F, Bogaerts A, De Smedt S, French L, Islam S, Mergen P, Nivart A, Papp B, Petersen M, Santos C, Schiller EK, Semal P, Smith VS, Wiltschke K (2024) Systematic Design of a Natural Sciences Collections Digitisation Dashboard. Research Ideas and Outcomes 10: e118244. https://doi.org/10.3897/rio.10.e118244
Figure 4 Second page of the CDD which provides a comparison view between the different institutes (Licence CC-BY).
Figure 6 from: Tilley LJ, Woodburn M, Vincent S, Casino A, Addink W, Berger F, Bogaerts A, De Smedt S, French L, Islam S, Mergen P, Nivart A, Papp B, Petersen M, Santos C, Schiller EK, Semal P, Smith VS, Wiltschke K (2024) Systematic Design of a Natural Sciences Collections Digitisation Dashboard. Research Ideas and Outcomes 10: e118244. https://doi.org/10.3897/rio.10.e118244
Figure 6 Presenting the page that appears when the 'See data' button is clicked on the third page of the Pilot CDD. The page provides actual object numbers for the different classification dimensions (Licence CC-BY).
Figure 2 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 2 The Museum collections of which ~6% are digitised and already have high usage in scientific publications. Data for period February 2015 to October 2021.
Figure 1 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 1 Overview of thematic, investment and efficiency savings approach including five key thematic areas: biodiversity conservation, invasive species, medicines discovery, agricultural research and development, and mineral exploitation.
Supplementary material 1 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Query summary of IUCN Red List Data - data deficient species
Figure 4 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 4 Summary of investment and efficiency approaches to valuing digitisation of Museum collection.
Figure 3 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 3 Valuing pathways to impact across five key areas: biodiversity conservation (£0.7bn–£1bn), invasive species (£0.7bn–£1.1bn), medicines discovery (£0.8bn–£2.8bn), agricultural research and development (£20m–£70m), and mineral exploitation (£20m–£80m). All estimates are in NPV terms over 30 years using a 3.5% discount factor.
Figure 7 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 7 Theory of change showing the four components (inputs, activities, outputs and outcomes) with examples that lead to impact.
Figure 6 from: Popov D, Roychoudhury P, Hardy H, Livermore L, Norris K (2021) The Value of Digitising Natural History Collections. Research Ideas and Outcomes 7: e78844. https://doi.org/10.3897/rio.7.e78844
Figure 6 Summary of the approach, using a theory of change to guide a literature review and benefits modelling.
Figure 4 from: Saarenmaa H, Tegelberg R, Haapala J, Mononen T, Pajari M (2012) The development of a digitising service centre for natural history collections. ZooKeys 209: 75-86. https://doi.org/10.3897/zookeys.209.3119
Figure 4 - Conceptual design for automated imaging of entomological collections, which is currently being implemented at Digitarium.
Figure 1 from: Saarenmaa H, Tegelberg R, Haapala J, Mononen T, Pajari M (2012) The development of a digitising service centre for natural history collections. ZooKeys 209: 75-86. https://doi.org/10.3897/zookeys.209.3119
Figure 1 - Functional model of the digitisation process. The steps pictured in red require handling of the physical specimens.
Figure 3 from: Saarenmaa H, Tegelberg R, Haapala J, Mononen T, Pajari M (2012) The development of a digitising service centre for natural history collections. ZooKeys 209: 75-86. https://doi.org/10.3897/zookeys.209.3119
Figure 3 - Image of a plant sheet stitched together from two parts – their boundary is barely noticeable in the middle of this sample. Notice the two-dimensional barcode, and a resolvable unique URI of the specimen details.
Figure 4 from: Torralba-Burrial A, Merino-Sáinz I, Anadón A (2014) The relevance, biases, and importance of digitising opportunistic non-standardised collections: A case study in Iberian harvestmen fauna with BOS Arthropod Collection datasets (Arachnida, Opiliones). ZooKeys 404: 71-89. https://doi.org/10.3897/zookeys.404.6520
Figure 4 - Cluster hierarchical analysis with harvestmen presence data from seven locations with planned collection events and this general subset.
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
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DANDI Archive for NWB datasets
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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.