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325 results for “Best practices”
Fig. 9 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 9. External morphology of the polychaete Lumbrineris latreilli Audouin & Milne Edwards, 1834. Specimen had been preserved in ethanol and was subsequently blotted dry on a tissue and scanned in air. The remaining ethanol (shown by arrows) can be observed clinging to the anterior end of the polychaete. Image by HCMR micro-CT lab, CC-BY Sarah Faulwetter.
Fig. 12 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 12. Cross-section image without (A) and with (B) a selection of a region of interest (red square) for the reconstruction of polychaete jaws. Image by HCMR micro-CT lab.
Fig. 5 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 5. Decision tree used for specimens euthanized to obtain tissue. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including cell culture and obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.
Fig. 6 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 6. Decision tree used to obtain tissue from live animals. Blue indicates steps in the decision tree. Green indicates procedures that will lead to preservation of tissues for genetic study. Purple indicates procedures that lead to achieving multiple goals, including obtaining gametes for current or future ARTs. NOTE: Breeding and IVF can result in offspring that can be used for genetic purposes, thereby achieving multiple goals.
Fig. 4 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 4. Length of time from cell culture initiation to freezing for amphibian cell lines in San Diego Zoo's Frozen Zoo®. Low = 19 days; high = 596 days; average = 154 days.
Fig. 3 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 3. The "tissue piecing" protocol used to preserve viable cells for establishment of cell lines in the future. A) Tissue is cut into long, thin strips. B) Tissue is diced into 1 mm3 fragments before adding medium containing 10% DMSO as a cryoprotectant. C) Prepared tissue is stored in LN2 until future cell culture is possible; those without cell culture capability can transport samples using a dry shipper to maintain cold-chain.
Fig. 2 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 2. Procedures used to obtain amphibian eggs or sperm for use in ARTs. A) Gravid female Leopard Frog (Lithobates sp.) after gonadotropic hormone injection. B) Expressing eggs into container by pressing on abdomen and pushing thumb toward cloaca; eggs can be fertilized (i.e., IVF) by fresh or cryopreserved sperm. Sperm can similarly be released from males by pushing towards the cloaca and releasing sperm naturally (in season) or after injection of gonadotropic hormones (e.g., HIS).
Fig. 1 in P e r s p e c t i v e Integrating current methods for the preservation of amphibian genetic resources and viable tissues to achieve best practices for species conservation
Fig. 1. Role of genetic resource collections in the research and conservation of amphibians. Green indicates the storage of tissues in biobanks. Purple indicates procedures associated with ARTs that lead to achieving multiple goals in amphibian research and conservation. Asterisk (*) denotes tissue or methodologies that are not currently used in ARTs but may be possible in the future. NOTE: For a more complete list of ARTs reference Clulow et al. (2014).
Figure 2 in A proposed best practice approach to overcome unverified and unverifiable "first records" in ichthyology
Figure 2. - Locations of the occurrences of Lobotes surinamensis in the Adriatic Sea. 1: Dulčić & Dragičević, 2011; 2: Valter Kožul, pers. com.; 3: this paper).
Fig. 2 in Fossil or non-fossil? A best-practice guide for archaeobotanical taxa
Fig. 2. Images of the original materials mentioned in the invalid publication of "Hordeum lagunculiforme" Bachteev. A, Charred barley grains from the archaeological excavations of the Bosporan expedition of the Leningrad Region Institute of Mineral Resources of the U.S.S.R. Academy of Sciences (3rd–2nd centuries B.C.): a, the largest grains; b, middle grains; c, small and very small grains; h, hulled; n, naked (Bachteev, 1956: fig. 1); B, Two samples (a and b) of charred barley grains from the Karmir-Blur archaeological sites: (7th–6th centuries B.C.) (Bachteev, 1956: fig. 2).
Fig. 1 in Fossil or non-fossil? A best-practice guide for archaeobotanical taxa
Fig. 1. Image of the original materials for Heer's different archaeobotanical taxa. A, Faba vulgaris var. celtica-nana Heer (Heer, 1865: fig. 44–47); B, Faba vulgaris var. celtica-nana Heer (Heer, 1866: fig. 44–47); C, Triticum vulgare var. antiquorum Heer (Heer, 1865: fig. 14–18); D, Triticum vulgare var. antiquorum Heer (Heer, 1865: "1" in text-fig. on p. 5); E, "Die dichte sechszeilige Gerste Hordeum hexastichum, densum" (Heer, 1865: fig. 9); F, "Kleine Pfahlbaugerste (Hordeum hexastichum, sanctum)" (Heer, 1865: fig. 1–7); G, "Kleine Pfahlbaugerste (Hordeum hexastichum, sanctum)" (Heer, 1865: fig. 8).
Best practices and ICT tools in migration-related work: a survey of first-line practitioners
<p>This data base was created from responses to a survey designed and carried out by the project PERCEPTIONS, a European Union Horizon 2020 funded project (Grant Agreement No. 833870). The project examined <strong>how Europe and the EU are seen by people who have immigrated there or intend to do so.</strong> It examined what perceptions of Europe exist among migrants, refugees and asylum seekers, how they are formed, whether they correspond to reality and how they influence migration decisions. It also examined how the flow of information could be distorted and whether inaccurate information could lead to a threat to the security of migrants (e.g. through dangerous border crossings) or even national security (e.g. through radicalisation).</p> <p>The survey was carried out with first-line practitioners, defined as professionals who have contact with migrants in their work. It was distributed between March and April 2022 and received 755 responses. Participants could take the survey in 10 languages (Albanian, Arabic, Bulgarian, Dutch, English, French, German, Greek, Italian, and Spanish) and responses were received from 17 different countries (Albania, Algeria, Andorra, Austria, Belgium, Bulgaria, Cyprus, Egypt, Germany, Greece, Italy, Kosovo, Latvia, the Netherlands, Spain, Tunisia, and the United Kingdom).</p> <p>The survey aimed to investigate practitioners’ assessments of best practices in migration-related work. More specifically, practitioners were asked to share their attitudes toward potential strategies for addressing the issue of misinformation amongst migrants and criteria through which to assess the success of potential best practices, as well as their evaluations of existing Information Communication Technology (ICT) tools in migration-related work.</p> <p>A report summarising the results of the survey can be accessed <a href="https://www.perceptions.eu/wp-content/uploads/2022/08/PERCEPTIONS-Report-A4-Best-practices-and-ICT-tools-in-migration-related-work-1.0.pdf">here</a>. </p>
FIGURE 2 in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices
FIGURE 2 Taxonomy as a unifying key for ecological datasets. The two sides represent two exemplary datasets, with a containing conservation status of taxa (here species) and B their traits (colours show different traits). The datasets are indexed by taxon names 'Sp1' to 'Sp6'. The rounded rectangle in the middle depicts the taxonomic harmonization process: (a) the names are extracted from each dataset, respectively in the orange and purple rectangles; (b) both lists are then compared to a taxonomic database which harmonizes all names. Here the names 'Sp1' and 'Sp6' refer to the same taxon in the taxonomic database (as indicated by the dashed lines). Without taxonomic harmonization, the exact match of names would have resulted in the loss of Sp5 and Sp6 when merging both datasets. LC, NT, VU, and CR are abbreviations of Red List statuses, meaning least concern, not threatened, vulnerable, and critically endangered, respectively
FIGURE 1 in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices
FIGURE 1 Typology of taxonomic databases according to their taxonomic breadth and their spatial scale. The x-axis represents increasing taxonomic breadth from a single taxonomic group to no clear taxonomic restriction (e.g. considering all biota or all Eukaryota). The y-axis represents spatial scale from regional to global. Each box represents a specific type of taxonomic database, with examples. LCVP, Leipzig Catalogue of Vascular Plants; WorldFlora, World Flora Online; POWO, Plants of the World Online; GermanSL, German Simple List; Vascan, Database of Vascular Plants of Canada; WoRMS, World Register of Marine Species; CASD, Chinese Animal Scientific Database; COL, Catalogue of Life; GBIF, Global Biodiversity Information Facility; TAXREF, French Taxonomic Referential; FinBIF, Finnish Biodiversity Information Facility
FIGURE 4 in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices
FIGURE 4 Diagram of different taxonomic harmonization workflows. The workflows differ in the number of steps they consider and the databases they leverage on. Rounded rectangles are lists of taxon names while diamonds represent taxonomic databases against which the names are matched. The different colours used at step 2 represent different taxonomic groups
FIGURE 3 in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices
FIGURE 3 Screenshot showing the network view of taxharmonizexplorer. The left section shows a table of each of the nodes in the network to let the user select manually nodes of interest, the top part presents a summary of the information on the selected node in the network. The right section displays the relationships between packages (which depends on which other), between databases (how one populates another one) and between packages and databases (which packages access which databases)
The Xpert Network and the Best Practices for Computational and Data-Intensive Research
<p>This video provides a brief overview of the Xpert Network and presents the best practices for professionals who support computational and data-intensive (CDI) research projects. The practices resulted from the Xpert Network activities, an initiative that brings together major NSF-funded projects for advanced cyberinfrastructure, national projects, and university teams that include individuals or groups of such professionals. Additionally, our recommendations are based on years of experience building multidisciplinary applications and teaching computing to scientists. These practices have proven effective in various CDI research settings and are easy to adopt by both research software engineers (RSEs) and domain scientists. You can find these best practices described on the following website: <a href="https://sites.udel.edu/xpert-cdi/resources/best-practices/">https://sites.udel.edu/xpert-cdi/resources/best-practices/</a>. We value your feedback on these practices and encourage you to read our paper for further insights: <a href="https://doi.org/10.1145/3491418.3530293">https://doi.org/10.1145/3491418.3530293</a>.</p>
Fig. 17 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 17. Open Access benefits, from Aston University Library Services (available from https://www.yearofopen.org/march-open-perspective-open-access/).
Fig. 15 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 15. Different routes for disseminating scientific publications (Cabut & Larousserie 2013, redrawn by Laurence Bénichou from Infographie du Monde).
Fig. 14 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 14. Scholar production costs. Four steps are needed to produce scholar papers, of which three are publicly-funded. In the first scenario, the library pays back the final product by subscription to the publisher while in the second, the publishing costs are supported by the publisher (commercial or institutional) and then the access is free for the reader.
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.