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45 results for “aurelia”
AURELIA: A Study of Avastin (Bevacizumab) Added to Chemotherapy in Patients With Platinum-resistant Ovarian Cancer
ClinicalTrials.gov study NCT00976911. IPD Sharing: Not stated. Countries: 14. Publications: 7.
Resource gradients create energy trade-offs in the inducible defense response of <em>Paramecium aurelia</em>
Open the record for dataset details and reuse information.
Jellyfish (Aurelia aurita) collagen scaffolds potential in alveolar bone regeneration
<p>This project contains the following underlying data:</p> <ul> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (500x magnification)</li> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (2000x magnification)</li> <li>Raw data of Energy Dispersive X-ray (EDX) spectroscopy showing elements contained in a jellyfish <em>A.aurita</em> collagen scaffold</li> <li>Unedited Fourier Transformed Infrared (FTIR) images showing wavelength of jellyfish <em>A.aurita</em> collagen scaffold non-EDC (untreated scaffold)</li> <li>Unedited Fourier Transformed Infrared (FTIR) images showing wavelength of jellyfish <em>A.aurita</em> collagen scaffold with EDC (treatment scaffold)</li> <li>Raw data of biodegradable test result</li> <li>Raw data of absorbance reading for WST assay for hMSCs</li> </ul>
Jellyfish (Aurelia aurita) collagen scaffolds potential in alveolar bone regeneration
<p>This project contains the following extended data:</p> <ul> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (500x magnification)</li> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (2000x magnification)</li> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (20.000x magnification)</li> </ul>
Jellyfish (Aurelia aurita) collagen scaffolds potential in alveolar bone regeneration
<p>This project contains the following underlying data:</p> <ul> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (500x magnification)</li> <li>Uncropped/ unedited electron microscopy images showing the morphology of jellyfish <em>A.aurita</em> collagen scaffold (2000x magnification)</li> <li>Raw data of Energy Dispersive X-ray (EDX) spectroscopy showing elements contained in a jellyfish <em>A.aurita</em> collagen scaffold</li> <li>Unedited Fourier Transformed Infrared (FTIR) images showing wavelength of jellyfish <em>A.aurita</em> collagen scaffold non-EDC (untreated scaffold)</li> <li>Unedited Fourier Transformed Infrared (FTIR) images showing wavelength of jellyfish <em>A.aurita</em> collagen scaffold with EDC (treatment scaffold)</li> <li>Raw data of biodegradable test result</li> <li>Raw data of absorbance reading for WST assay for hMSCs</li> </ul>
Data from: Ecological drivers of jellyfish blooms – the complex life history of a 'well-known' medusa (Aurelia aurita)
<ol> <li>Jellyfish blooms are conspicuous demographic events with significant ecological and socio-economic impact. Despite worldwide concern about an increased frequency and intensity of such mass occurrences, predicting their booms and busts remains challenging.</li> <li>Forecasting how jellyfish populations may respond to environmental change requires considering their complex life histories. Metagenic life cycles, which include a benthic polyp stage, can boost jellyfish mass occurrences via asexual recruitment of pelagic medusae.</li> <li>Here we present stage-structured matrix population models with monthly, individual-based demographic rates of all life stages of the moon jellyfish <i>Aurelia aurita</i> L. (<em>sensu stricto</em>). We investigate the life stage-dynamics of these complex populations under low and high food conditions to illustrate how changes in medusa density depend on non-medusa stage dynamics.</li> <li>We show that increased food availability can be an important ecological driver of jellyfish mass occurrences, as it can temporarily shift the population structure from polyp- to medusa- dominated. Projecting populations for a winter warming scenario enhanced the booms and busts of jellyfish blooms.</li> <li>We identify demographic key variables that control the intensity and frequency of jellyfish blooms in response to environmental drivers such as habitat eutrophication and climate change. By contributing to an improved understanding of mass occurrence phenomena, our findings provide perspective for future management of ecosystem health.</li> </ol>
Figure 7 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 7. Canonical analysis of principal coordinates (CAP) bi-plot ordination (based upon a Euclidean distance similarity matrix) showing canonical axes (CAP1, CAP2) that best discriminate Aurelia spp. populations: A, polyps; B, ephyrae; and C, medusae. The correlation with canonical axes are only shown when the Pearson's correlation coefficient is>0.4. The length of each vector line is proportional to the strength of the correlation.
Figure 2 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 2. Morphometric measures analysed in three life stages of Aurelia spp. A, polyp stage: HL, hypostome length; MDD, mouth disc diameter; StL, stalk length; TBL, total body length. B, ephyra stage: BD, bell diameter; CDD, central disc diameter; LStL, lappet stem length; RLL, rhopalial lappet length; TMLL, total marginal lappet length. C, medusa stage: f1, bell diameter (mm from 1a to 1b); f2, manubrium depth (mm); f3, folding of the oral arm (0–2, half-point intervals); f5, oral arm length (mm); f6, manubrium width (mm); f7, oral arm width (mm); f8, gastric pouch shape; f9, proximal gastric diameter (PGD, mm); f10, distal gastric diameter (DGD, mm); f11, subgenital pore diameter (mm); f12, subgenital pore position (central, inside, overlapping, outside); f13, subgenital pore thickening (0–2, half-point intervals); f19, number of lobes; f20, number of rhopalia; f21, bell shape; f22, bell thickness; f23, perradial origins (qtr ‾1); f24, interradial origins (qtr ‾1); f25, adradial origins ‾1 f26, perradial ‾1 f27, interradial ‾1 f28, adradial (qtr); anastomoses (qtr); anastomoses (qtr); anastomoses (qtr ‾1); f29, rhopaliar indent (mm); f30, non-rhopaliar indent (mm). Scale bars: A, B, 1 mm.
Figure 1 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 1. Locations of Aurelia spp. collected in the Mediterranean Sea and from northern European coasts: BB, Bizerte Bay (Tunisia); BL, Bizerte Lagoon (Tunisia); EH, Empuriabrava Harbour (Spain); GT, Gulf of Trieste (Italy); ML, Mljet lakes (Croatia); Ob, Oban (UK); Or, Orkney (UK); PC, Porto Cesareo (Italy); So, Southampton (UK); SA, St Andrews (UK); SL, Sabaudia Lake (Italy); VL, Varano Lagoon (Italy). Diamonds indicate locations for which both morphological and molecular analyses were performed; dots indicate locations where only genetic analyses were performed.
Figure 5 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 5. Interspecific morphological differences in the anastomoses and bell indentations: A, Aurelia coerulea (= Aurelia sp. 1), female, bell diameter (BD) = 125 mm; B, Aurelia relicta sp. nov. (= Aurelia sp. 5), immature specimen, BD = 95 mm; C, Aurelia solida (= Aurelia sp. 8), male, BD = 160 mm.
Figure 6 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 6. Ontogenetic variation in subgenital pore size (f11) and position (f12) in male specimens of Aurelia coerulea from: A, Empuriabrava Harbour (EH), bell diameter (BD) = 63 mm; B, Varano Lagoon (VL), BD = 120 mm.
Figure 4 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 4. Bayesian species tree estimated using *BEAST (COI + 28S). Numbers adjacent to nodes show the posterior probability values. The scale indicates the estimated number of substitutions per site.
Figure 8 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 8. Development of the gastric system in Aurelia ephyrae from four Mediterranean locations, reared in the laboratory: A–E, Aurelia coerulea (= Aurelia sp. 1), EH; F–J, Aurelia coerulea (= Aurelia sp. 1), VL; K–O, Aurelia relicta sp. nov. (= Aurelia sp. 5), ML; P–T, Aurelia solida (= Aurelia sp. 8), GT. Scale bars: 1 mm.
Figure 11 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 11. Structure of marginal sense organ in Aurelia medusae: A–D, Aurelia coerulea (= Aurelia sp. 1), bell diameter (BD) = 136 mm; E–H, Aurelia relicta sp. nov. (=Aurelia sp. 5), BD = 95 mm; I– L, Aurelia solida (= Aurelia sp. 8), BD = 144 mm. The rhopalium is directed towards the bell margin in A. coerulea (B) and A. relicta sp. nov. (F), angled at ~90° in A. solida (J). Abbreviations: ec. o, ectodermal ocellus; en. o, endodermal ocellus.
Figure 3. COI–28S concatenated maximum-likelihood tree reconstructed using GARLI 2.0 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 3. COI–28S concatenated maximum-likelihood tree reconstructed using GARLI 2.0. Numbers adjacent to nodes show the bootstrap support values. The scale indicates the number of substitutions per site. Reference sequences from GenBank are in bold.
Figure 9 in Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach
Figure 9. Morphology of Aurelia spp. polyps: A, Aurelia coerulea (= Aurelia sp. 1), EH; B, Aurelia coerulea (= Aurelia sp. 1),VL; C, Aurelia relicta sp. nov. (= Aurelia sp. 5), ML; D, Aurelia solida (= Aurelia sp. 8), GT. Scale bars: 1 mm.
Aurelia coerulea decontaminated gx
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Microbiota-derived beta-carotene is required for strobilation in Aurelia aurita via host retinoic acid signaling
<p>specific genes of the bacterial MEP pathway and carotenoid synthesis pathway</p>
Aurelia coerulea decontaminated FSCR
<p>.</p>
Real-World Effectiveness of Bevacizumab Based on AURELIA in Platinum-resistant Recurrent Ovarian Cancer
ClinicalTrials.gov study NCT03367182. IPD Sharing: NO. Countries: 1. Publications: 1.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.