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5,039 results for “Natural history collections”
Fig. 8.1 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 8.1. Sketchfab page of RMCA.
Fig. 8.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 8.2. Annotated model of a grass snake skull on Sketchfab. https://skfb.ly/6tNwY
Fig. 6.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.3. Back view of the skull digitised with different scanners.
Fig. 6.4 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.4. Parietal view of the skull digitised with different scanners.
Fig. 6.5 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.5. Sea urchin captured by 3 different structured light scanners and by SfM.
Fig. 5.5 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.5. Corrected light settings (right image) for a too-dark texture (left image).
Fig. 8.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 8.3. Virtual collections page of RBINS
Fig. 3.5 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.5. Interface of the AGORA 3D Automated Photographer.
Fig. 3.23 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.23. The HDI white light scanner.
Fig. 3.22 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.22. Fringe projection.
Fig. 3.24 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.24. The MechScan white light scanner.
Fig. 2.27 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.27. Ammonite lighted with the RTI technique. Left normal view, right specular view.
Fig. 2.16 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.16. Caloptilia galacotra, detail of the reproductive organs at 20× magnification.
Fig. 2.21 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.21. Overview of the specimen page visible at Zoosphere.net. Image copyright MfN.
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.
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.
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.
Fig. 1 in Annotated catalogue of the dinosaurs (Reptilia, Archosauria) in the collections of Carnegie Museum of Natural History
Fig. 1.—Carnegie Museum dinosaur quarries, Sheep Creek, Wyoming.
Figure 1 from: Hyvärinen M-T, Väinölä R, Väre H, Ståhls-Mäkelä G, Sihvonen P, Kuusijärvi A, Myllys L, Kröger B, Heikkinen M, Juslén A, Oinonen M, Schulman L (2020) General Collections Policy of the Finnish Museum of Natural History. Research Ideas and Outcomes 6: e58167. https://doi.org/10.3897/rio.6.e58167
Figure 1 The collection policies of the Finnish Museum of Natural History. * Not yet published
Figure 5 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 5 Components of the theory of change.
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.