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48 results for “Recurrence pattern”
Fig. 8 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 8. Trace fossils and modern burrows that render some similarities to Sinusichnus crustacean burrow networks. Circle on the right shows grapholglyptids and Cochlichnus at the same scale as the others, except for the burrows of the Chinese mitten crab, Eriocheir sinensis. Likewise, all drawings are plan views, except for Gyrolithes which is lateral view. Megagrapton irregulare after Häntzschel 1975; Stereobalanus burrow from Romero-Wetzel 1989; Ophiomorpha irregulaire after Bromley and Ekdale 1998; Eriocheir burrow from Rudnick et al. 2005; Gyrolithes marylandicus, Thalassinoides suevicus, Cosmorhaphe parva, and Protopaleodictyon helicoidea after Seilacher 2007; Cochlichnus anguineus from Gibert and Sáez 2009.
Fig. 9 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 9. Depositional setting of the crustacean burrow Sinusichnus sinuosus Gibert, 1996 bearing outcrops in the Vilomara area, Spain. A. Stratigraphic log showing the location of Sinusichnus (indicated by stars) (vf, very fine-grained sand; vc, very coarse-grained sand). B. Correlation panel (from López-Blanco et al. 2000c) showing Sinusichnus occurrences in relation to facies belts on the Sant Llorenç del Munt fan-delta complex and within the regressive sequence set of the Vilomara Composite sequence. Location of A is indicated. C. Panoramic view of the transition from delta front (sandstone beds on the SE) to prodelta (siltstone and mudstone beds on the NW) including Sinusichnus horizons (stars). D. Detail of the tabular alternation of sandstones and siltstone beds on the transition from delta front to prodelta that bears S. sinuosus.
Fig. 7 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 7. Graphics illustrating the relation between some measured parameters of the crustacean burrow Sinusichnus sinuosus Gibert, 1996. A. Above, correlation plot of amplitude (A) versus wavelength (λ) for all the specimens measured in the six localities. Below, same diagram for each one of the six localities individually. B. Above, correlation plot of diameter (Ø) versus A/λ ratio for all the specimens measured in the six localities. Below, same diagram for each one of the six localities individually.
Fig. 4. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 4. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 from the Upper Miocene Dos Hermanas outcrop in the Guadalquivir Basin, Spain. A. Plan view of two intersecting burrow systems (preserved as full-relieves) (A1) and schematic drawing (A2). B. Semi-lateral view of the same systems, where it is possible to observe the thick spreiten. C. Transverse burrow section, showing the heterolithic composition of the spreiten. D. Detail showing the spreiten and the coarser-grained passive infill of the tunnel. Field photographs.
Fig. 3. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 3. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 from the Middle Miocene of the Waikiki Beach outcrop in the El Camp de Tarragona Basin, Spain. A. Detail of a burrow partially filled with fine-grained sediment from the overlying marly unit. B. Detail of a Y-shaped branching point. C. Partial view of a more extensive network (C 1) showing variations in the sinuosity of tunnels and Y-shaped branching points; schematic drawing (C2). Field photographs.
Fig. 1. Geographic and geologic setting. A in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 1. Geographic and geologic setting. A. Synthetic geological map of the Guadalquivir Basin and surrounding areas. The black star shows the location of the Alcalá de Guadaíra outcrop, and the white star that of the Dos Hermanas locality. B. Synthetic geological map of Catalonia (NE Spain). The white star shows the location of the Vilomara outcrop in the Ebro Basin, and the black star that of the Waikiki Beach locality in the El Camp de Tarragona Basin. Inset map in between, displays the position of both areas in the Iberian Peninsula.
Fig. 5. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 5. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 from the Upper Miocene Alcalá de Guadaíra outcrop in the Guadalquivir Basin, Spain. A. General view of an intensely bioturbated horizon, mostly consisting of numerous intersecting Sinusichnus networks. B. Detail of a Y-shaped branching point. Field photographs. Scale bars correspond to 10 cm.
Fig. 2. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 2. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 from the Eocene Vilomara outcrop in the Ebro Basin, Spain. A. System displaying the characteristic sinuous tunnels and Y-shaped branching. Upper part of the burrow is concave as only spreiten are preserved and the final passive infill of the tunnel is lacking. B. Two intersecting burrows. The one on the lower part of the picture displays a typical H-shaped geometry. C. Sinuous tunnel showing retrusive spreiten. Field photographs.
Fig. 10 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 10. Stratigraphic distribution of known fossil occurrences of the ichnogenus Sinusichnus.
Data from: All roads lead to weediness: patterns of genomic divergence reveal extensive recurrent weedy rice origins from South Asian Oryza
Open the record for dataset details and reuse information.
Data from: Patterns of genetic diversity reveal multiple introductions and recurrent founder effects during range expansion in invasive populations of Geranium carolinianum (Geraniaceae)
Genetic diversity, and thus the adaptive potential of invasive populations, is largely based on three factors: patterns of genetic diversity in the species' native range, the number and location of introductions, and the number of founding individuals per introduction. Specifically, reductions in genetic diversity ("founder effects") should be stronger for species with low within-population diversity in their native range and few introductions of few individuals to the invasive range. We test these predictions with Geranium carolinianum, a winter annual herb native to North America and invasive in China. We measure the extent of founder effects using allozymes and microsatellites, and ask whether this is consistent with its colonization history and patterns of diversity in the native range. In the native range, genetic diversity is higher and structure is lower than expected based on life-history traits. In China, our results provide evidence for multiple introductions near Nanjing, Jiangsu province, with subsequent range expansion to the west and south. Patterns of genetic diversity across China reveal weak founder effects that are driven largely by low- diversity populations at the expansion front, away from the introduction location. This suggests that reduced diversity in China has resulted from successive founder events during range expansion, and that the loss of genetic diversity in the Nanjing area was mitigated by multiple introductions from diverse source populations. This has implications for the future of G. carolinianum in China, as continued gene flow among populations should eventually increase genetic diversity within the more recently founded populations.
Sample data and algorithm implementation for ChiSCAT: Unsupervised Learning of Recurrent Cellular Micromotion Patterns from a Chaotic Speckle Pattern
<p>Sample data and algorithm implementation for the article </p> <div>Trelin, A., Kussauer, S., Weinbrenner, P., Clasen, A., David, R., Rimmbach, C., & Reinhard, F. (2024). ChiSCAT: Unsupervised Learning of Recurrent Cellular Micromotion Patterns from a Chaotic Speckle Pattern. <em>Nano Letters</em>, <em>24</em>(40), 12374-12381.</div>
Model data for: Upper-lower layer coupling of recurrent circulation patterns in the Gulf of Mexico
<p>Post processed model output data for "Upper-lower layer coupling of recurrent circulation patterns in the Gulf of Mexico" submitted to Journal of Physical Oceanography. There are two datasets, one for the upper layer (H1) and one for the lower layer (H2). Each one contains the demeaned, detrended, and filtered (Lanczos low-pass) daily fields of layer thickness anomaly to which the authors computed the Hilbert EOFs.</p> <p>File list:</p> <p>H1_GoM_day_ssk15_st30dl.mat - this file contains the layer thickness anomaly fields for the upper layer (<250m)</p> <p>H2_GoM_day_ssk15_st30dl.mat - this file contains the layer thickness anomaly fields for the lower layer (>1000m)</p> <p>Scripts for plotting and processing the data into the model domain are available at:</p> <p>https://github.com/erickolvera/Olvera_et_al_21</p>
Roles of m5C RNA modification patterns in biochemical recurrence and tumor microenvironment characterization of prostate cancer
<p>The datasets included in the manuscript 'Roles of m5C RNA modification patterns in biochemical recurrence and tumor microenvironment characterization of prostate cancer'</p>
Recurrent patterns behind extreme heatwaves in a warming climate
<p>Data generated and used in the 'Recurrent patterns behind extreme heatwaves in a warming climate' by Prashant Neel. </p> <p>Spreadsheets are labelled by region (PNW or Siberia) and Scenario SSP1-2.6 or SSP2-4.5 from the EC-Earth model output. Heatwave days for this study are 28<sup>th</sup> June 2021 in PNW, 20<sup>th</sup> June 2020 in Siberia and 25th July 1988 in Siberia.</p> <p>1. MaxTemp_ spreadsheets show daily maximum temperature calculated by averaging the maximum 2m surface temperatures over a region from 50°N to 90°N and 60°E to 180°E in Siberia, the area containing the town of Verkhoyansk and bordered by high relief, and from 65°N to 70°N and 130°W to 137°W in the Pacific Northwest (PNW). </p> <p>2. _corr_ spreadsheets show the generated pattern correlation for daily mean 500 hPa geopotential height (z500) data for June and July days against the z500 data for the two heatwaves. For Siberia, this was performed over the region of 50°N to 90°N and 60°E to 180°E and for the PNW this was 30°N to 70°N and 70°W to 145°W. The latitude-corrected Pearson correlation coefficient was found for each day compared to the heatwave day (28<sup>th</sup> June 2021 in PNW and 20<sup>th</sup> June 2020 in Siberia). Those labelled 1988 were for the Siberian heatwave on 25th July 1988.</p> <p>3. The 'wavenumber_reanalysis' spreadsheet shows the predominant Rossby wavenumber for the reanalysis data for the week preceding each day. Daily mean June and July ERA5 reanalysis data was averaged over 35°N-70°N to create a single value per longitude. A rolling 7-day mean was then be found, truncating the first 6 days of June each year. Then, the fast fourier transform (FFT) was performed to generate amplitudes of each wavenumber for a given day, based on the average v250 of the week prior. The amplitudes were converted to standard deviations from the mean. </p> <p> </p> <p>4. Spreadsheets ending in '_all' summarise all this data for each region and scenario.</p> <p> </p> <p> </p>
Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees: Source Data
<p>Source Data file for the article "Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees"</p>
COMpassion FOcused Therapy and Breathing Pattern REtraining After Cancer Recurrence
ClinicalTrials.gov study NCT05518591. IPD Sharing: NO. Countries: 1. Publications: 1.
Investigating Participation Patterns Among Recurrent Ovarian Cancer Patients
ClinicalTrials.gov study NCT06070285. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Determining Patterns In Trial Experiences of Recurrent Prostate Cancer Patients
ClinicalTrials.gov study NCT06070272. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Clinical Analysis of Recurrence Patterns Following Conjunctival Autografts for Pterygium Surgery
ClinicalTrials.gov study NCT02059837. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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Allen Brain Atlas
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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
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