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191 results for “Scientific Figures”
FIGURE 5 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 5. Low poly reconstruction of the extinct teratorn (Teratornis merriami). To view this model in 3D, please see the online version of this article.
FIGURE 13 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 13. Low poly reconstruction of the extinct short-faced bear (Arctodus simus). To view this model in 3D, please see the online version of this article.
FIGURE 20. Snapcodes for A in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 20. Snapcodes for A. saber-toothed cat, B. dire wolf, and C. Shasta ground sloth. Using the popular Snapchat app, these codes activate interactive AR experiences.
FIGURE 16 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 16. Low poly reconstruction of the extinct Harlan's ground sloth (Paramylodon harlani). To view this model in 3D, please see the online version of this article.
FIGURE 10 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 10. Low poly reconstruction of a generic extinct American lion (Panthera atrox). To view this model in 3D, please see the online version of this article.
FIGURE 1 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 1. The iconic Columbian mammoth family at La Brea Tar Pits sculpted by Howard Ball. Image by Y-Z on free- imageslive.co.uk.
Figure 2 in Measuring the scientific impact of FishBase after three decades
Figure 2. – Four indicators for the impact of FishBase. A: Annual number of 'hits' that the FishBase webpage has been receiving since 1998. Data derived from https://www.fishbase.se/WebUse.php?yr=All. *'hits' are defined as all requests made to the server and are used as a representation of FishBase usage. The number of substantial user sessions is by default considerably lower, i.e., around 1 million per month in 2020. B:Annual number of citations to FishBase, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). C: Annual number of citations to FishBase, based on data from Google Scholar (www.scholar.google.com, accessed on January 13, 2021). D: Occurrence in famons (1 famon = 10-6 relative % Ngram frequency: Stergiou, 2017) of the term "fishbase" (case insensitive) in the corpora of English (American and British), French, and Spanish books published between 1994 and 2018, based on data from the Google Books Ngram Corpus (http://books.google.com/ngrams; accessed on October 2, 2021).
Figure 4 in Measuring the scientific impact of FishBase after three decades
Figure 4. – Subject areas and context of FishBase citations. A: Number of documents citing FishBase by subject area, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Note that documents may fall into more than one category. B: Context in which the 107 most highly cited papers (1% of the total FishBase citations from 1994 to 2020, based on Scopus) reference FishBase (neutral/ technical, positive, negative) and C: How they use it (as a source of data or a simple reference to it).
Figure 3 in Measuring the scientific impact of FishBase after three decades
Figure 3. – Bubble map visualization of the global distribution of FishBase citations for the period 1994-2020, based on data from Scopus (www.scopus.com, accessed on August 16, 2021). Bubble size is relative to the number of documents citing FishBase (maximum number: 2,022 documents produced by the United States of America).
Figure 1 in How not to conduct a scientific debate: a counterpoint to the recent critique of the "pragmatic classification" of jumping spiders (Arthropoda: Arachnida: Araneae: Salticidae)
Figure 1. Neighbor-joining tree of selected barcode sequences of Clubiona species from the BOLD database. The Holarctic core Clubiona s. str. is indicated in green, the genevensis group in red. The key features, as discussed in the text, are also found in maximum parsimony and maximum likelihood trees of the same sequences.
Figure 1 in The mysterious Widdringtonia wallichii (Cupressaceae) and the correct scientific name for the Clanwilliam cedar
Figure 1. Specimen of Widdringtonia nodiflora (K75280) sent by N. Wallich to J.D. Hooker, and the origin of the name W. wallichii.
BRAIN Journal-Man versus Computer: Difference of the Essences. The Problem of the Scientific Creation-Figure 1. Geometrical figure "right triangle" as a material system. Points are universal joints.
<p>However, the result of the creative activity can be easily tested (verified) by scientists. Example of the creative solution of the Euclid's V-th postulate is as follows (T.Z. Kalanov, 2011a). As is well known, the triangle is one of the most important figures in geometry and trigonometry. This figure as a material system can be constructed and studied as follows. 1. The triangle is constructed as is follows. If the sides of the angle are bound up with the rectilinear segment, then the synthesized system (the constructed geometrical figure) AOB is called triangle (Figure 1). </p>
Cross-modal (text and figures) Analysis of a Scientific Corpus from Semantic Scholar - model weights
<p>In the related <a href="https://github.com/HybridNLP2018/tutorial">notebook </a>we show the application of cross-modal techniques to improve the categorization of scientific papers through content related to figures, using both the textual part (captions) and the visual part (figures, diagrams, images) jointly. To this purpose, we use several CNN models and execute some experiments, illustrating our approach. This deposit contains the model weights trained on such large corpora.</p>
Cross-modal (text and figures) Analysis of a Scientific Corpus from Semantic Scholar - images
<p>In this notebook we show the application of cross-modal techniques to improve the categorization of scientific papers through content related to figures, using both the textual part (captions) and the visual part (figures, diagrams, images) jointly. To this purpose, we use several CNN models and execute some experiments, illustrating our approach. This deposit contains high quality versions of the images used in the analysis.</p>
Data for recreating figures of scientific paper by Hermanson et al on volcanic impacts on climate
<p>This data is the data necessary to recreate the figures that appear in a draft manuscript submitted to the AGU journal Journal of Geophysical Research - Atmospheres for peer review. When / if the manuscript is accepted then the article will be linked from here. The data is in netcdf files. The data was created by processing (mainly averaging) data from five different institutions. It was given to the authors for the purpose of scientific research only.</p>
Figure 1 in Entomological data from the first year of the Forensic Entomology Division formalization at Santa Catarina Scientific Police
Figure 1 Santa Catarina State (southern Brazil) and locations where entomological evidence were collected: Araquari (1), Campo Alegre (2), Chapecó (3), Garuva (4), Iomerê (5), Itajaí (6), Itapoá (7), Joinville (8), Mafra (9), Papanduva (10), São Francisco do Sul (11), São Bento do Sul (12) and Urupema (13).
Figure 2 in Scientific Opinion on a notification (reference C/NL/09/02) for the placing on the market of the genetically modified carnation IFD-26407-2 with a modified colour, for import of cut flowers for ornamental use, under Part C of Directive 2001/18/EC from Florigene
Figure 2. - Neobythites bimarginatus. Pelvic-fin length and horizontal eye diameter showing negative allometric growth.
Figure 1 in Scientific Opinion on a notification (reference C/NL/09/02) for the placing on the market of the genetically modified carnation IFD-26407-2 with a modified colour, for import of cut flowers for ornamental use, under Part C of Directive 2001/18/EC from Florigene
Figure 1. - Neobythites bimarginatus Fourmanoir & Rivaton, 1979. SAIAB 189024, SL 122 mm. From off Madagascar (photo M. Krag, ZMUC).
MCR LTER: Coral Reef: Data for figures in Doo, et al., Ocean acidification effects on in situ coral reef metabolism, Scientific Reports, 2019
These data result from a Free Ocean CO2 Enrichment (FOCE). Data include net community calcification (NCC), net community production (NCP), and net ecosystem calcification (NEC) for the figures in Doo, Edmunds and Cparpenter, Ocean acidification effects on in situ coral reef metabolism, Scientific Reports, 2019, https://doi.org/10.1038/s41598-019-48407-7. Data for Figure 2A describe the 24-h NCC collected in the in situ SCoRe-FOCE. Data for Figures 2B and 2C describe the offset of NCC of the high CO2 treatment from ambient collected in the in situ SCoRe-FOCE. Data for Figure 3 describe the correlation of NCP to NCC collected in the in situ SCoRe-FOCE. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Figure 3. A 1983 in A study on the etymology of the scientific names given to planarians (Platyhelminthes, Tricladida) by Ernest Marcus' school
Figure 3. A 1983 cat-themed Christmas card hand-made by Eveline du Bois-Reymond Marcus and addressed to Dr. LeighWinsor (University James Cook, Australia).
ScienceDex guides
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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.