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325 results for “best practice”
Fig. 2.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.8. Pictures of a microscope plate. Left: a microscope plate with an overview of a specimen of Belgica antarctica using a white background (scale = 1 mm). Right: a detailed view of the left image (scale = 500 µm).
Fig. 2.7 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.7. Translucent specimen in detail. Close-up view of the outer surface of a specimen of Gyraulus costulates exilis. Scale = 500 µm.
Fig. 2.15 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.15. Caloptilia galacotra, reproductive organs. Picture composed of several stitched tiles of stacked pictures at a magnification of 20×.
Fig. 2.12 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.12. General view of the 'Information in Images' system mounted on a Leica microscope at the Royal Museum for Central Africa.
Fig. 2.4 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.4. Picturing pinned insects. The pictures represent several insects with highly reflective surfaces positioned in different ways (pinned, upper pictures; glued, bottom pictures). No shadows, no overexposed areas and hardly any reflections are present. Scale = 1 mm.
Fig. 2.3 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.3. Picturing shiny metallic specimens: Left: A manganite specimen (scale = 1 cm); Right: a detailed view of the manganite specimen (scale = 1 mm).
The application of filter based assembly model to develop best practices for Pannonian sand grassland restoration
<p>Data used for a manuscript sent to JAE in 2015.</p>
Best Practice Tool: Soil Database
<p>The database contains the hydrological properties of the soils within the regions of interest presented in the article on the LandSupport <em>Best practice tool</em></p>
GLR Best Practices Process and Results
Open the record for dataset details and reuse information.
Best practices for medical device cyber security
<p>Best practices for medical device cyber security collected by the NEMECYS project</p>
CLIC database of best practices
<p>CLIC Database of best practices of cultural heritage adaptive reuse. Available at: http://140.164.42.97/clicapp/</p>
Fig. 16 in Consortium of European Taxonomic Facilities (CETAF) best practices in electronic publishing in taxonomy
Fig. 16. Scheme extracted from Roarmap showing the different policies regarding Open Access.
Fig. 16 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 16. Scan of teeth without (A) and with (B) software beam hardening correction. In yellow, cupping artefacts increase the reconstructed density at the edges (see plots of gray values along the yellow lines) and decrease it in the centre of the object. In blue, streaking artefacts create dark or white lines between structures. Images by MNHN.
Fig. 8 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 8. Sample mounting techniques for plant specimens of different sizes. A. Large samples (>10 mm). B–D. Medium-sized samples (1–10 mm). E–F. Small samples (<1 mm). Image from Staedler et al. 2013, reproduced under a CC-BY license.
Fig. 11 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 11. Histogram of the grayscale value frequency of the scanned specimen (bivalve Musculus costulatus (Risso, 1826). Each peak represents a different structure (in terms of density) of the scanned bivalve. Bright grayscale values (representing low densities) are located at the left side of the histogram, darker values (representing high values) at the right side of the histogram. A. The selection of a range including all peaks, reveals the more detailed morphology of the bivalve (both soft/low density and hard/high density structures). B. A restricted range of histogram values removes structures with brighter values (= low densities). C. A restricted range of histogram values including only one peak reveals only the darkest values (= most dense structures) of the bivalve which correspond to the shell. Image by HCMR micro-CT lab.
Fig. 18 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 18. Scan of a bivalve with (A) and without (B) noise after the selection of the appropriate parameters during the reconstruction procedure. Images by HCMR micro-CT lab.
Fig. 14. A in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 14. A marine worm (Polychaeta, Phyllodocidae, Phyllodoce). A. Photograph (CC-BY-SA Hans Hillewaert). B. Volume rendering. C. Isosurface rendering. Images B and C by the HCMR micro-CT lab.
Fig. 13 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 13. Volume rendering of a specimen where the gray level coding for (A) air and (B) air+soft tissues are transparent. Histograms of the grayscale values are included for both images where the selected threshold is indicated by the blue line and the opacity curve is indicated by the red line. Image by MNHN.
Fig. 1 in Best Writing and Curatorial Practices for Describing a New Species of Beetle: a Primer
Fig. 1. Styles of holotype labels: entirely red and outlined in red.
Fig. 2 in Best Writing and Curatorial Practices for Describing a New Species of Beetle: a Primer
Fig. 2. Styles of paratype labels: entirely yellow
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.