Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
50
datasets available to search
ShareScore release 0.7.1
Dataset results
50 results for “PEGASUS”
Figure 1 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 1: Seaweed aquaculture to meet the goals of the European bioeconomy strategy (© Michele Barbier, based on EC documentation, 2018, source photos: iStock, © roxyminder #94394792; Fotolia_110024322_Subscription_XXL_© Countrypixel.jpg).
Figure 3 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 3: Different European legislation with implications for seaweed aquaculture (© Michele Barbier).
Figure 2 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 2: The development of sustainable seaweed aquaculture in Europe faces a number of challenges: market size, potential environmental impact, and preservation of local genetic diversity, the need to intensify research – both fundamental and applied, regulation of food quality, heavy metals or alien species, and cultivation constraints ranging from automation to issues of epiphytism (© Michele Barbier).
Figure 4 in Development and objectives of the PHYCOMORPH European Guidelines for the Sustainable Aquaculture of Seaweeds (PEGASUS)
Figure 4: Actions promoting the preservation of European marine biodiversity (© Michele Barbier, source photo © freepick.com).
Fig 10 in Correction: Integrated Taxonomy Reveals Hidden Diversity in Northern Australian Fishes: A New Species of Seamoth (Genus Pegasus)
Fig 10. Molecular species identification of Pegasus species using Genetic treeML trees. (A) sequences from the 16S gene; (B) sequences from the COI gene. Trees are based on the K2 evolutionary distance model and are shown here with mined Pegasus and Eurypegasus sequences from GenBank. The trees are shown here with an E. draconis outgroup. Bootstrap support values (following 1000 replicates) are shown above the nodes. https://doi.org/10.1371/journal.pone.0251680.g001
Fig 4 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 4. Ventral view of preopercular plate. (A) Pegasus tetrabelos (CSIRO H 7665–01), arrow indicates single ventral preopercular notch; (B) Pegasus volitans (CSIRO H 6649–02), arrows indicate double ventral preopercular notches. doi:10.1371/journal.pone.0149415.g004
Fig 6 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 6. Dorsal view of posterior tail from mid-tail ring X to tail ring XII. (A) Pegasus tetrabelos (CSIRO H 7665–01); (B) Pegasus volitans (CSIRO H 6649– 02). doi:10.1371/journal.pone.0149415.g006
Fig 7 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 7. Lateral view of tail ring XII. (A) Pegasus tetrabelos (CSIRO H 7665–01) showing terminodorsal-lateral and terminoventral-lateral plates each with an anteriorly and posteriorly directed spine; (B) Pegasus volitans (CSIRO H 6649–02) showing terminal-lateral plate with an anteriorly and posteriorly directed spine. doi:10.1371/journal.pone.0149415.g007
Fig 12 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 12. Lectotype of Pegasus volitans (NRM LP 30, 108 mm SL). (A) dorsal; and (B) lateral views. doi:10.1371/journal.pone.0149415.g012
Fig 2 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 2. Holotype of Pegasus tetrabelos (CSIRO H 6553–03, 110 mm PCL). (A) dorsal; (B) lateral; and (C) ventral views. doi:10.1371/journal.pone.0149415.g002
Fig 1 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 1. Cataphractus corpora oblong plagioplateo illustration. (A) dorsal; and (B) ventral view of the record upon which Pegasus natans was solely based [21]. doi:10.1371/journal.pone.0149415.g001
Fig 5 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 5. Ventral view of tail from mid-tail ring IV to mid tail ring VII. Caudolateral plate keels at intersects of tail rings. (A) Pegasus tetrabelos (CSIRO H 7665–01); (B) Pegasus volitans (CSIRO H 6649–02). doi:10.1371/journal.pone.0149415.g005
Fig 3 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 3. Lateral view of dorsal ridge. (A) Pegasus tetrabelos (CSIRO H 7665–01); (B) Pegasus volitans (CSIRO H 6649–02). doi:10.1371/journal.pone.0149415.g003
Fig 11 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 11. Pegasus volitans (CSIRO H 7665–02, 116 mm PCL). (A) dorsal; (B) lateral; and (C) ventral views. doi:10.1371/journal.pone.0149415.g011
Fig 10 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 10. Molecular species identification of Pegasus species using Genetic treeML trees. (A) sequences from the 16S gene; (B) sequences from the COI gene. Trees are based on the K2 evolutionary distance model and are shown here with mined Pegasus and Eurypegasus sequences from GenBank. The trees are shown here with an E. draconis outgroup. Bootstrap support values (following 1000 replicates) are shown above the nodes. doi:10.1371/journal.pone.0149415.g010
Fig 9 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 9. Trawl sites from the Torres Strait and Great Barrier Reef surveys. Sites where Pegasus tetrabelos (red dots) and Pegasus volitans (yellow dots) were recorded; black dots refer to those sites where Pegasus specimens were not captured. Map generated in QGIS using Natural Earth 1:10,000,000 data (www. naturalearthdata.com). doi:10.1371/journal.pone.0149415.g009
Fig 8 in Integrαted Tαxonomy Reveαls Hidden Diversity in Northern Austrαliαn Fishes: A New Species of Seαmoth (Genus Pegasus)
Fig 8. Map showing the collection locations of the material examined. Pegasus volitans specimens indicated by yellow dots and Pegasus tetrabelos specimens indicated by black (holotype) and red (paratypes) dots. Map generated in QGIS using Natural Earth 1:10,000,000 data (www.naturalearthdata.com). doi:10.1371/journal.pone.0149415.g008
Escultura de Pegasus (II)
Escultura de Pegasus por Agustín Querol en frente del Palacio de Bellas Artes Generada usando el dataset de Open Heritage DOI for this dataset is 10.26301/v1pz-0r22 Source: Objaverse 1.0 / Sketchfab
Born Of The Pegasus
Scan of an art piece from "Burganov's House" museum, named "Born of the Pegasus", by Alexander Burganov Source: Objaverse 1.0 / Sketchfab
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: PEGASUS wheat
<p>This is model output from PEGASUS for wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.</p> <p>The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).</p> <p>References:</p> <p>Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015</p> <p>Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017</p> <p>Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8</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.