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4,356 results for “RED”
Fig. 1 in Detecting co-infections of Echinococcus multilocularis and Echinococcus canadensis in coyotes and red foxes in Alberta, Canada using real-time PCR
Fig. 1. Standard curve for qPCR assays to detect E. canadensis and E. multilocularis using Cox143 and Nad234 primers/probes, respectively.
Fig. 2. The red algal phylogenomic approaches. A. Concatenated multigene phylogeny using 170 in Algal genomics perspective: the pangenome concept beyond traditional molecular phylogeny and taxonomy
Fig. 2. The red algal phylogenomic approaches. A. Concatenated multigene phylogeny using 170 plastid genes (Muñoz-Gómez et al., 2017). B. Concatenated multigene phylogeny using 4,777 nuclear genes (Lee et al., 2019). C. Intertwining phylogenetic network tree of red algal plastid and nuclear multigene phylogenies.
BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 9. Illustration of three different wavelets with three waves that have high amplitude values, as indicated by the dashed red circles
<p>The mother wavelet of Coiflet 5 contained triple-high oscillation amplitude (i.e., Figure 9a). We considered that this mother wavelet was inappropriate for our data because overall our data possibly contained only a few matches with the mother wavelet of Coiflet 5. Moreover, the Symlet 10 (i.e., Figure 9b) and 20 (i.e., Figure 9c) also provided supportive results that were lower than others in ANNSVM_WLHT because their mother wavelets also had a similar shape as that of Coiflet 5. For similar reasons, the Haar wavelet was not proper because it is a step function. </p>
Age-resolved chemistry of red giants in the solar neighbourhood
<p>In our associated paper we find age-abundance trends for individual elements using a sample of solar-neighborhood stars observed with the SDSS-APOGEE instrument. Here we publish the likelihood functions from a Bayesian isochrone matching to determine the most probable age.</p>
New Ideas for Brain Modelling 4-Figure 4. LHS relates to neuron binding ensemble mass, with central column activated. RHS relates to hierarchy, with a direct mapping. The two red lines show where the ensemble is missing and so it needs to be learned. The blue lines show extra neurons from the hierarchy back to the ensemble, but can be removed as error. The other paired black squares represent where the patterns match and can oscillate together.
<p>This paper continues the research that considers a new cognitive model based strongly on the human brain, last updated in Greer (2016). In particular, it considers figure 4 of that paper (Figure below) and how it might be useful in practice. The paper also describes some new methods in the areas of image processing and behaviour simulation. The image processing introduces a most classical form of pattern cross-referencing, while the behaviour equations used feedback for a memory-type of cross-referencing. The work is all based on earlier research by the author and the new additions are intended to fit in with the overall design. For image processing, a grid-like structure is used with ‘full linking’, if you like. Each cell in the classifier grid stores a list of all other cells it gets associated with and this is used as the learned image that new input is compared with. For the behaviour metric, a new prediction equation is suggested, as part of a simulation, that uses feedback and history to dynamically determine its current state and course of action. While the new methods are from widely different topics, both can be compared with the binary-analog type of interface that is the main focus of the paper. Sensory input may be static and binary, but cross- references result in variable comparisons that make the input more dynamic. It is suggested that the simplest of linking between a tree and ensemble can explain neural binding and variable signal strengths.</p>
Time-averaged simulation results and in vivo measurements to show the impact of red blood cells on the flow field in the cortical microvasculature
<p>The dataset contains 5 files. 4 of them are time-averaged results of blood flow simulations with discrete red blood cell (RBC) tracking in realistic microvascular networks. The 5th file contains median values of RBC velocity measurements at capillary bifurcations in the somatosensory cortex of the mouse.</p> <p>Further notes on the simulation results:<br> - The realistic microvascular networks are from the mouse parietal cortex and have first been published in Blinder et al., 2013, Nature Neuroscience (<a href="https://doi.org/10.1038/nn.3426">https://doi.org/10.1038/nn.3426</a>).<br> - The numerical model to simulate blood flow in realistic microvascular networks has been described in Schmid et al., 2017, PLOS Computational Biology (<a href="https://doi.org/10.1371/journal.pcbi.1005392">https://doi.org/10.1371/journal.pcbi.1005392</a>).<br> - MVN1 and MVN2 stands for microvascular network 1 and 2, respectively.<br> - wRBCs and wpPs stands for 'with red blood cells' and 'with passive particles'. These terms describe two different numerical models: The wRBC-model accounts for all RBC related flow phenomena. The wpP neglects the phase-separation and the Fahraeus-Lindqvist effect, i.e. RBCs and flow are decoupled. Further details are available from Schmid et al. (2019, <a href="https://doi.org/10.1371/journal.pcbi.1007231">https://doi.org/10.1371/journal.pcbi.1007231</a>)</p> <p><strong>File format: </strong>pickle (Python)</p> <p><strong>Files 1 - 4 </strong>(Time-averaged simulation results):<br> Filenames: MVN1_wpPs.tar.bz2, MVN2_wpPs.tar.bz2, MVN1_wRBCs.tar.bz2, MVN2_wRBCs.tar.bz2</p> <p>Each compressed folder contains two files:<br> <br> edgesDict.pkl: dictionary with edge/vessel related data: </p> <ul> <li>flow: Flow rate in vessel [um^3/ms]</li> <li>length: Vessel length [um] (Tortuosity is considered)</li> <li>htt: Tube hematocrit in vessel [-]</li> <li>diameter: Effective vessel diameter [um]</li> <li>connectivity: Vertex indices, e.g. start and end vertex of the corresponding vessel</li> </ul> <p>verticesDict.pkl: dictionary with vertex/bifurcation related data:</p> <ul> <li>index: Index of the current vertex </li> <li>coords: Coordinates to describe the position of the vertex [um]</li> <li>pressure: Pressure at the vertex [mmHg]</li> </ul> <p> </p> <p><strong>File 5</strong> (in vivo RBC velocity measurements):<br> Filename: measurementDict.pkl</p> <p>keys:</p> <ul> <li>divergent_d1: divergent bifurcation, RBC velocity measurement in daughter vessel 1</li> <li>divergent_d2: divergent bifurcation, RBC velocity measurement in daughter vessel 2</li> <li>convergent_m1: convergent bifurcation, RBC velocity measurement in mother vessel 1</li> <li>convergent_m2: convergent bifurcation, RBC velocity measurement in mother vessel 2</li> </ul> <p><br> Data structure: list of list,<br> e.g. daughter vessel 1:<br> [[bif.1 - measure.1, bif.1 - measure.2, bif.1 - measure.3], [bif.2 - measure.1, bif.2 - measure.2, bif.2 - measure.3],...]<br> bif.: bifurcation, measure.: measurement.<br> The order of bifurcations is the same for 'divergent_d1' and 'divergent_d2' (and for 'convergent_m1' and 'convergent_m2'). </p> <p> </p>
Data for: Resource landscapes explain contrasting patterns of aggregation and site fidelity by red knots at two wintering sites
<p>This repository contains data for the paper: Oudman et al. 2018. Resource landscapes explain contrasting patterns of aggregation and site fidelity by red knots at two wintering sites. <em>Movement Ecology</em> 6(14) 1-12. https://doi.org/10.1186/s40462-018-0142-4.</p> <p>Please cite the original publication when using this data.</p>
Serial Rotation Electron Diffraction (automated continuous RED) raw data sets
<p><strong>Serial Rotation Electron Diffraction (automated continuous RED) raw data sets </strong></p> <p>Containing:</p> <p>TIFF images for particle recognition</p> <p>SMV files for XDS processing</p> <p>XDS input files (automatically generated)</p>
FIu.'2l. —A, front \' ie \\' of right femur of Trachodon selwyni, from Red Deer river B, front _ view of _ right femnr of Iguanodon 1mantelli, from the \Veahlen of England One-sixteenth naturalsize. ¡ahead ggreat trochantel' m, third trochanter; c. inner condyle. e ' ~ in New genera and species from the Belly River Series (mid-Cretaceous)
FIu.'2l. —A, front \' ie \\' of right femur of Trachodon selwyni, from Red Deer river B, front _ view of _ right femnr of Iguanodon 1mantelli, from the \Veahlen of England One-sixteenth naturalsize. ¡ahead ggreat trochantel' m, third trochanter; c. inner condyle. e ' ~
Test data set for macros accompanying the publication Multi-parameter screening method for developing optimized red fluorescent proteins
<p>This a bundle of test data can be used to run the macros accompanying the publication Multi-parameter screening method for developing optimized red fluorescent proteins.</p> <p>These data sets can be used to run the following macros that can be found on GitHub:</p> <ol> <li><a href="https://github.com/molcyto/MC-Ratio-96-wells">https://github.com/molcyto/MC-Ratio-96-wells</a></li> <li><a href="https://github.com/molcyto/MC-Ratio-Petri-dish">https://github.com/molcyto/MC-Ratio-Petri-dish</a></li> <li><a href="https://github.com/molcyto/MC-FLIM-Petri-dish">https://github.com/molcyto/MC-FLIM-Petri-dish</a></li> <li><a href="https://github.com/molcyto/MC-Bleach-96-wells">https://github.com/molcyto/MC-Bleach-96-wells</a></li> <li><a href="https://github.com/molcyto/MC-Scatter5D">https://github.com/molcyto/MC-Scatter5D</a></li> <li><a href="https://github.com/molcyto/MC-FLIM-96-wells">https://github.com/molcyto/MC-FLIM-96-wells</a></li> </ol> <p>Funding:<br> This work was supported by the NWO CW-Echo grant 711.011.018 (M.A.H. and T.W.J.G.), grant 12149 (T.W.J.G.) from the Foundation for Technological Sciences (STW) from the Netherlands</p> <p> </p>
Metagenomic analysis suggests low in situ replication rates for dust-associated bacteria over the Red Sea
<p>Gff and fasta files of dust-associated MAGs that were analyzed on GRiD for estimation of in situ replication rates</p>
Figures 1-4 in Reproductive behavior of the Red-crested Finch Coryphospingus cucullatus (Aves: Thraupidae) in southeastern Brazil
Figures 1-4. Nests, eggs, and young Red-creasted Finch. (1) Nest lateral view depicting nest placement and lichens in the outer wall. (2) Female incubating eggs. (3) Eggs and incubation chamber. (4) Nestlings.
Figs.: 1–4. Nectarinella manauara sp. nov. (1) Head, anterior view; (2) posterior view, red arrow points to vestigial occipital carina; (3) mesosoma, dorsal view, (4) lateral view; (5) head of N. championi, posterior view, red arrow points to vestigial occipital carina; (6) head of paratype of N. xavantinensis, anterior view; approximately same scale as (5). in Nectarinella manauara, new species and record of the genus from Brazilian Amazonia (Hymenoptera, Vespidae, Polistinae)
Figs.: 1–4. Nectarinella manauara sp. nov. (1) Head, anterior view; (2) posterior view, red arrow points to vestigial occipital carina; (3) mesosoma, dorsal view, (4) lateral view; (5) head of N. championi, posterior view, red arrow points to vestigial occipital carina; (6) head of paratype of N. xavantinensis, anterior view; approximately same scale as (5).
Figure 1 in No effect of liming on the Eastern Red-backed Salamander after 5 years
Figure 1. Comparison of the regressions of weight as a function of snout vent length of Eastern Red-backed Salamanders captured in control (open circles, dashed line) or limed (black circles, solid line) blocks in August 2016 in the Portneuf Wildlife Sanctuary, located approximately 100 km northwest of Québec City (Quebec, Canada).
Fig. 7 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 7: 1-6, 10-15, 22-27 Rugotruncana subpennyi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12446; 7-9 Rugoglobigerina rugosa (Plummer1926), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12411; 16-18 Globotruncanella saratogensis (Applin, 1920), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12441; 19-21, 24-29 Rugotruncana subglaessneri (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV. 12421 (All specimens x 90).
Fig. 14 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 14: 1-3 Globotruncanella sarmientoi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12448; 4-12 Archaeoglobigerina blowi (Pessagno 1967), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12449; 13-15 Rugoglobigerina pustulata Brönnimann 1952, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12415; 16-24 Rugoglobigerina ordinaria (Subbotina 1953), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12446; 25-29 Rugoglobigrerina kelleri (Subbotina 1953 Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12451; 30-31 Rugoglobigerina rotundata Brönnimann 1952 Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12416 (All specimens x 90).
Fig. 10 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 10: 1-15 Globotruncanella havanensis (Voorwjik 1937) emend. Brönnimann & Brown 1955, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12429; 16-21 Abatomphalus sp.cf. A.intermedius, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12434; 22- 27 Rugotruncana subglaessneri (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB. IV. 12421; 28-30 Rugotruncana subhexacamerata (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, L.P.B. IV. 12422 (All specimens x 90).
Fig. 3 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 3: 1-9 Globotruncanella coarctata (Bolli 1957), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV. 12427; 10-17 Globotruncanella pshadae (Keller 1946), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12427; 18-20 Globotruncanella petaloidea (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12428; 21-24 Globotruncanella havanensis (Voorwjik 1937), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12329; 25-27 Globotruncanella saratogensis (Applin 1920), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV. 12441; 28-30 Rugotruncana subrugosa (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12420; 31 Schsckoina multispinata (Cush.Wick 1940), Maastrichtian, Țâța Valley, PietroȘița-Fieni (All specimens x 90).
Fig. 2 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 2: 1-3 Rugoglobigerina pennyi Brönnimann 1952, Maastrichtian, Țâța Valley, Pietrosița, LPB.IV. 12417; 4-9 Rugoglobigerina subbotinae Maslakova 1978, Maastrichtian, Țâța Valley, LPB.IV. 12411; 10-12 Rugoglobigerina kingi Trujillo 1960 Maastrichtian, Țâța Valley, L.P.B.IV. 12450; 13- 15 Rugoglobigerina ordinaria (Subbotina 1953), Maastrictian, Țâța Valley, LPB.IV.12446; 16-21 Rugotruncana subglaessneri (Gandolfi 1955), Maatrichtian, Țâța Valley, PietroȘița, LPB.IV.12421, 22- 25 Rugotruncana subornata (Gandolfi 1955), Maatrichtian, Țâța Valley, LPB.IV.12440; 26-28 Rugotruncana subrugosa (Gandolfi 1955), Țâța Valley, LPB.IV. 12436; 29-31 Rugotruncana subhexacamerata (Gandolfi 1955), Maastrichtian, Țâța Valley, LPB.IV.12426; 32-34 Rugotruncana subcircumnodifer (Gandolfi 1955), Maastrichtian, Țâța Valley, LPB.IV.12431 (All specimens x 90).
Fig. 13 in Micropaleontological Study Of The Gura Beliei Red Marls Formation From The Pietroșița Area (Turonian - Maastrichtian). Part Iii Campanian-Maastrichtian Planktonic Foraminifera
Fig. 13: 1-3 Rugotruncana subpennyi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12426; 4-6 Rugotruncana subhexacamerata (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12422; 7-12 Archaeoglobigerina blowi Pessagno 1967, Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12441; 13-15 Globotruncanella pshadae (KELLER 1946), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12427; 16-18 Rugoglobigerina kelleri (Subbotina 1953), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12451; 19-26 Globotruncanella sarmientoi (Gandolfi 1955), Maastrichtian, Țâța Valley, PietroȘița, LPB.IV.12448 (All specimens x 90).
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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.