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3,696 results for “reference”
Reference solutions for "A validated non-linear Kelvin-Helmholtz benchmark for numerical hydrodynamics"
<p>This dataset contains hdf5 files with reference solutions to the validated non-linear Kelvin-Helmholtz benchmark problem described in <a href="https://doi.org/10.1093/mnras/stv2564">Lecoanet et al. (2016)</a>. The hdf5 files include snapshots at t=2, 4, 6, 8 for the Re=10^5 D4096 simulation with Δρ/ρ0=1 (5_4096_2_*.h5), the Re=10^5 D2048 simulation with Δρ/ρ0=0 (5_2048_1_*.h5), and the Re=10^6 D2048 simulation with Δρ/ρ0=0 (6_2048_1_*.h5). The velocity, density, temperature, and dye field are contained in the tasks group. The exact output time and the grid are contained in the scales group.</p>
A comparison of citation sources for reference and citations based search in systematic literature reviews
<p>Context: In software engineering, snowball sampling has been used as a supplementary and primary search strategy. The current guidelines recommend the use of Google Scholar (GS) for snowball sampling. However, the use of GS presents several challenges when using it as a source for citations and references.</p> <p>Objective: To compare the effectiveness and usefulness of two leading citation databases (GS and Scopus) for use in snowball sampling search.Method: We relied on a published study that has used snowball sampling as a search strategy and GS as the citation source. We used its primary studies to compute precision and recall for Scopus.</p> <p>Results: In this particular case, Scopus was highly effective with 95% recall and had better precision of 5.1%compared to GS’s 2.8%. On average, one would read 15 extra papers in GS than Scopus to identify an additional relevant paper. Moreover, Scopus supports batch downloading of both citations to a paper and the papers’ references, has better quality metadata, and does better source filtering.</p> <p>Conclusion: This study suggests that Scopus seems to be more effective and useful for snowball sampling than GS for systematic secondary studies attempting to identify peer-reviewed literature.</p>
FIGURE5. Panonychus caglei, female, A. leg I, B. leg II, C. leg III, D., leg IV, the red arrow refers to the excessive seta (l') observed on genu IV in few specimens. Right side. in -Redescription-of-Panonychus caglei Mellott,-1968,- with-ontogenetic-development- (Acari:-Tetranychidae)-
FIGURE5. Panonychus caglei, female, A. leg I, B. leg II, C. leg III, D., leg IV, the red arrow refers to the excessive seta (l') observed on genu IV in few specimens. Right side.
Notes on Fomitiporia Murrill in Amazon region: a list of species and new references
<p>Twenty-three specimens of fungi of genus <i>Fomitiporia</i> Murrill, collected in the Amazonian region in the states of Amazonas and Roraima in their respective rainy periods were analyzed. The present study has both resulted in the description of eight species, namely <i>F. apiahyna s. l. </i>(Speg.) Robledo, Decock & Rajchenb<i>.</i>, <i>F. calkinsii </i>(Murrill) Vlasák & Kout, <i>F. conyana </i>Alves-Silva & Drechsler-Santos<i>, F. impercepta </i>Morera, Robledo&Urcelay, <i>F. langloisii </i>Murrill, <i>F. maxonii </i>Murrill, <i>F. murrillii </i>Alves-Silva, R.M. Silveira & Drechsler-Santos<i> </i>and <i>F. neotropica </i>Camp.-Sant., Amalfi, R.M. Silveira, Robledo & Decock contributed with new records for the Amazonian region, Brazil and the Americas.</p>
Nicotiana benthamiana and virus genomic references
<p>Nicotiana benthamiana curated and modified genomic references.</p> <p>TSWV viral references.</p>
Analysis of references in the IPCC AR6 WG2 Report of 2022
<p>This repository contains data on 17,419 DOIs cited in the <a href="https://www.ipcc.ch/report/ar6/wg2/">IPCC Working Group 2 contribution to the Sixth Assessment Report</a>, and the code to link them to the dataset built at the Curtin Open Knowledge Initiative (COKI).</p> <p>References were extracted from the report's PDFs (downloaded 2022-03-01) via <a href="https://www.scholarcy.com/">Scholarcy</a> and exported as RIS and BibTeX files. DOI strings were identified from RIS files by pattern matching and saved as CSV file. The list of DOIs for each chapter and cross chapter paper was processed using a custom Python script to generate a pandas DataFrame which was saved as CSV file and uploaded to Google Big Query.</p> <p>We used the main object table of the Academic Observatory, which combines information from Crossref, Unpaywall, Microsoft Academic, Open Citations, the Research Organization Registry and Geonames to enrich the DOIs with bibliographic information, affiliations, and open access status. A custom query was used to join and format the data and the resulting table was visualised in a Google DataStudio dashboard.<br> <br> This version of the repository also includes the set of DOIs from references in the <a href="https://www.ipcc.ch/report/ar6/wg1/">IPCC Working Group 1 contribution to the Sixth Assessment Report</a> as extracted by Alexis-Michel Mugabushaka and shared on Zenodo: <a href="https://doi.org/10.5281/zenodo.5475442">https://doi.org/10.5281/zenodo.5475442</a> (CC-BY)</p> <p>A brief descriptive analysis was provided as a <a href="https://openknowledge.community/tracking-climate-change-openaccess/">blogpost on the COKI website</a>.</p> <p><strong>The repository contains the following content:</strong></p> <p>Data:</p> <ul> <li><strong>data/scholarcy/RIS/</strong> - extracted references as RIS files</li> <li><strong>data/scholarcy/BibTeX/</strong> - extracted references as BibTeX files</li> <li><strong>IPCC_AR6_WGII_dois.csv</strong> - list of DOIs</li> <li><strong>data/10.5281_zenodo.5475442/</strong> - references from IPCC AR6 WG1 report</li> </ul> <p>Processing:</p> <ul> <li><strong>preprocessing.R</strong> - preprocessing steps for identifying and cleaning DOIs</li> <li><strong>process.py</strong> - Python script for transforming data and linking to COKI data through Google Big Query</li> </ul> <p>Outcomes:</p> <ul> <li><a href="https://console.cloud.google.com/bigquery?project=utrecht-university&ws=!1m23!1m3!8m2!1s145441926252!2sd59dfac7972a45f8a2f5ee4ac866c34d!1m4!4m3!1sacademic-observatory!2sobservatory!3sdoi20220226!1m4!4m3!1sutrecht-university!2sipcc_ar6!3sdoi_table!1m3!3m2!1sutrecht-university!2sipcc_ar6!1m4!4m3!1sutrecht-university!2sipcc_ar6!3sipcc_ar6_dois&d=ipcc_ar6&p=utrecht-university&page=table&t=doi_table&pli=1&authuser=1">Dataset on BigQuery</a> - requires a google account for access and bigquery account for querying</li> <li><a href="https://datastudio.google.com/s/vZN2zLr9wS4">Data Studio Dashboard</a> - interactive analysis of the generated data</li> <li><a href="https://www.zotero.org/groups/4614109">Zotero library</a> of references extracted via Scholarcy</li> <li><strong>PDF version of blogpost</strong></li> </ul> <p><strong>Note on licenses:</strong> <br> Data are made available under <a href="https://creativecommons.org/publicdomain/zero/1.0/">CC0</a> (with the exception of WG1 reference data, which have been shared under <a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC-BY 4.0</a>)<br> Code is made available under <a href="http://www.apache.org/licenses/">Apache License 2.0</a></p>
Figure 5. Female reproductive system. A. R in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 5. Female reproductive system. A. R. coronata, southern England (MNCN 15.05/90423). B. R. aurata, La Caleta, Cádiz, south-western Spain, Atlantic Ocean (MNCN 15.05/88106). C. R. caletensis, La Caleta, Cádiz, south-western Spain, Atlantic Ocean (MNCN 15.05/200113). D. R. tingensis, Tangier, north-western Morocco, Atlantic Ocean (MNCN 15.05/91514). Abbreviations: FM, female mass; CGD, common genital duct; GO, gonopore.
Figure 4 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 4. Scanning electron micrographs of radula and gizzard plates. A–C, Runcina coronata. A, rachidian teeth (MNCN 15.05/88105). B, lateral teeth (MNCN 15.05/88105). C, gizzard plate (MNCN 15.05/90423). D–F, Runcina aurata. D, rachidian teeth (MNCN 15.05/91500). E, lateral teeth (MNCN 15.05/88106). F, gizzard plate (MNCN 15.05/88106). G–I, Runcina caletensis (MNCN 15.05/200113) G, rachidian teeth. H, lateral teeth. I, gizzard plate. J–M, Runcina tingensis. J, rachidian teeth (MNCN 15.05/200114). L, lateral teeth (MNCN 15.05/200114). M, gizzard plate (MNCN 15.05/91514). Scale bars: A, B, E, J, L = 10 μm; C, F, I, M = 50 μm; D, G = 20 μm; H = 5 μm.
Figure 9. Runcina avellana. A in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 9. Runcina avellana. A, schematic illustration taken from Schmekel & Cappellato, 2001 (original description). B, living animal from Catalonia, north-eastern Spain (Mediterranean Sea) (MNCN 15.05/88108, 1,5 mm in length). Image B by Ana Karla Araujo.
Figure 1 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 1. Phylogenetic hypothesis of the order Runcinida based on the combined genes H3, COI, and 16S inferred by Bayesian analysis. Numbers on the left of the slash are posterior probabilities and on the right bootstrap values derived from maximum likelihood analysis. A, ABGD results based on the COI dataset. B, bPTP results based on the COI dataset. Rectangles in Ilbia ilbi are missing since there is no COI sequence available. Abbreviations: ATL, Atlantic Ocean; MED, Mediterranean Sea. *, branches with maximum support. 1, refers to sequences from Genbank.
Figure 8 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 8. Living animal of Runcinida sp. (MNCN 15.05/90670, 3 mm in length, Cap Ferret, north of France, Atlantic Ocean). Image courtesy of Marina Poddubetskaia.
Figure 3 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 3. Living animals of Runcina coronata (A, B) and Runcina aurata (C–F). A, MNCN 15.05/88105, 3 mm in length, Swanage (southern England). B, MNCN 15.05/90423, 4 mm in length, Swanage (southern England) (photos Ian F. Smith). C, MNCN/ADN 118948, 1.5mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). D, MNCN/ADN 118950, 1mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). E, MNCN 15.05/88106, 2 mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). F, MNCN 15.05/88107, 2mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). Photos A and B, courtesy of Ian F. Smith; photos C–F by Ana Karla Araujo.
Figure 2 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 2. Runcina coronata species-complex. Detail of Clade F extracted from the analyses illustrated in Figure 1. Continuous rectangles, ABGD analysis based on the COI dataset. Dotted rectangles, bPTP analysis based on the COI dataset. *, branches with maximum support. 1, refers to sequences from Genbank.
Figure 7 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 7. Living animals of Runcina caletensis (A, B) and Runcina tingensis (C, D). A, MNCN/AND 118949, 1.5 mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). B, MNCN 15.05/200113, 3 mm in length, La Caleta, Cádiz (south-western Spain; Atlantic Ocean). C, MNCN 15.05/91514, 1.5mm in length, Tangier (north-western Morocco; Atlantic Ocean). D, MNCN 15.05/200114, 2mm in length, Tangier (north-western Morocco; Atlantic Ocean). A, B images by Ana Karla Araujo; C, D images courtesy of Naoufal Tamsouri.
Figure 6. Male reproductive system. A in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 6. Male reproductive system. A, Runcina coronata, southern England (MNCN 15.05/90423). B, Runcina aurata, La Caleta, Cádiz, south-western Spain, Atlantic Ocean (MNCN 15.05/88106). C, Runcina caletensis, La Caleta, Cádiz, southwestern Spain, Atlantic Ocean (MNCN 15.05/200113). D, Runcina tingensis, Tangier, north-western Morocco, Atlantic Ocean (MNCN 15.05/91514). Shaded area indicates the presence of sperm. Abbreviations: MO, male opening; PP, penial papilla; PG, prostate gland; SV, seminal vesicle.
Figure 11 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 11. Scanning electron micrographs of radula of Runcina hornae (MNCN 15.05/90654, 1 mm in length, Mataro, Spain). A, rachidian teeth. B, lateral teeth. Scale bars: A = 5 μm; B = 10 μm.
Figure 10 in Molecular phylogeny of European Runcinida (Gastropoda, Heterobranchia): the discover of an unexpected pool of complex species, with special reference to the case of Runcina coronata
Figure 10. Living animals of Runcina hornae. Specimens from Catalonia, north-eastern Spain (Mediterranean Sea). A, MNCN 15.05/88104, 1 mm in length. B, MNCN 15.05/90661, 1 mm in length. C, MNCN/AND 118954, 2 mm in length. D, MNCN 15.05/90656, 1.5 mm in length. E, MNCN 15.05/90660, 3 mm in length. F, MNCN 15.05/90655, 3 mm in length. G, MNCN 15.05/90659, 2.5 mm in length. H, MNCN 15.05/90665, 1.5 mm in length. I, MNCN 15.05/90658, 1.5 mm in length. J, MNCN 15.05/90654, 2 mm in length. L, MNCN 15.05/90657, 1 mm in length. M, MNCN 15.05/90662, 2 mm in length. N, MNCN 15.05/90664, 3 mm in length. O, MNCN 15.05/90663, 1 mm in length. P, MNCN 15.05/88110, 2 mm in length. Images A, E, G, H courtesy of Carlés Galià; images B, F, M, N, O courtesy of Marina Poddubetskaia; images C, D, I, J, L, P by Ana Karla Araujo.
The eVe reference polarisation lidar system for Cal/Val of Aeolus L2A product
<p>eVe lidar data used in publication:</p> <p>Paschou, P., Siomos, N., Tsekeri, A., Louridas, A., Georgoussis, G., Freudenthaler, V., Binietoglou, I., Tsaknakis, G., Tavernarakis, A., Evangelatos, C., von Bismarck, J., Kanitz, T., Meleti, C., Marinou, E., and Amiridis, V.: The eVe reference polarisation lidar system for Cal/Val of Aeolus L2A product, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2021-268, in review, 2021.</p>
Bathymetric and terrain digital model (representative of the geomorphological reference condition) of the river-floodplain system corresponding to the Douro reach between Toro and Zamora (Castilla y León).
<p>Digitally edited digital model to represent the previous geomorphological situation in the Toro-Zamora section.</p>
Systematic literature review of reference architectures evaluation
<p>Systematic literature review of reference architectures evaluation</p>
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.