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325 results for “best practice”

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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).

opencc-by-4.0Apr 2020View details →
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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.

opencc-by-4.0Apr 2020View details →
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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×.

opencc-by-4.0Apr 2020View details →
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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.

opencc-by-4.0Apr 2020View details →
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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.

opencc-by-4.0Apr 2020View details →
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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).

opencc-by-4.0Apr 2020View details →
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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>

opencc-zeroJul 2015View details →
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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>

opencc-by-4.0Dec 2023View details →
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GLR Best Practices Process and Results

Open the record for dataset details and reuse information.

opencc-by-4.0Jan 2024View details →
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Best practices for medical device cyber security

<p>Best practices for medical device cyber security collected by the NEMECYS project</p>

opencc-by-4.0Nov 2024View details →
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CLIC database of best practices

<p>CLIC Database of best practices of cultural heritage adaptive reuse.&nbsp;Available at: http://140.164.42.97/clicapp/</p>

opencc-by-4.0Jul 2019View details →
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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.

opennotspecifiedNov 2018View details →
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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.

opencc-by-4.0Apr 2019View details →
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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 (&gt;10 mm). B–D. Medium-sized samples (1–10 mm). E–F. Small samples (&lt;1 mm). Image from Staedler et al. 2013, reproduced under a CC-BY license.

opencc-by-4.0Apr 2019View details →
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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.

opencc-by-4.0Apr 2019View details →
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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.

opencc-by-4.0Apr 2019View details →
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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.

opencc-by-4.0Apr 2019View details →
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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.

opencc-by-4.0Apr 2019View details →
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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.

opennotspecifiedJun 2013View details →
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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

opennotspecifiedJun 2013View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record