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4,600 results for “vascular”
Engineering of Fully Humanized and Vascularized 3D Bone Marrow Niches Sustaining Undifferentiated Human Cord Blood Hematopoietic Stem and Progenitor Cells
<p>Data underlying the figures in the publication “Engineering of fully humanized and vascularized 3D bone marrow niches sustaining undifferentiated human cord blood hematopoietic stem and progenitor cells”, published in <em>J Tissue Eng., </em><strong>2021</strong>, 12, 2041731421044855.</p> <p>DOI:10.1177/20417314211044855</p> <p> </p> <p>Table of Contents:</p> <p><strong>1. P12-03_TP01_Suppernatant</strong>: Enzyme-linked immunosorbent assay of VEGF concentration in vascularized and not vascularized BM niches.</p> <p><strong>2. P12_WholeNiche</strong>: qPCR data of vascular and osteogenic markers in vascularized and not vascularized BM niches.</p> <p><strong>3. FACs-Overview-SN_relativ</strong>: FACS data showing haematopoietic cell populations in the supernatant after HSC cocoulture in vascularized and not vascularized BM niches.</p> <p><strong>4. FACs-Overview-niche_Relativ</strong>: FACS data showing haematopoietic cell populations in the niche after HSC cocoulture in vascularized and not vascularized BM niches.</p> <p><strong>5. CFU</strong>: Colony formation statistics after HSC cocoulture from vascularized and not vascularized BM niches.</p> <p><strong>6. Cell cycle</strong>: Cell cycle statistics of HSPCs after HSC cocoulture from vascularized and not vascularized BM niches.</p> <p><strong>7. P12_03_AfterHSPC-vs-BeforeHSPCs</strong>: qPCR data of vascular and osteogenic markers in vascularized and not vascularized BM niches after and before HSC cocoulture.</p> <p><strong>8. Scheme</strong>: Vector graphic of experimental setup.</p> <p><strong>9. Images engineered niches</strong>: Folder containing images of engineered niches.</p>
The Effect of Stromal Vascular Fraction (SVF) & Scaffolds Application on Fracture Healing with Bone Defect as Assessed Through Osteocalcin and Bone Morphogenetic Protein-2 (BMP-2) Biomarker Examination: Experimental Study on Murine Model
<p>This data is the raw data for the manuscript with titled The Effect of Stromal Vascular Fraction (SVF) & Scaffolds Application on Fracture Healing with Bone Defect as Assessed Through Osteocalcin and Bone Morphogenetic Protein-2 (BMP-2) Biomarker Examination: Experimental Study on Murine Model.</p>
Broad- and small-scale environmental gradients drive variation in chemical, but not morphological, leaf traits of vascular epiphytes
<p>Variation in leaf functional traits along environmental gradients can reveal how vascular epiphytes respond to broad- and small-scale environmental gradients. Along elevational gradients, both temperature and precipitation likely play an important role as drivers of leaf trait variation, but these traits may also respond to small-scale changes in light, temperature, and humidity along the vertical environmental gradient within forest canopies. However, the relative importance of broad- and small-scale environmental gradients as drivers of variation in leaf functional traits of vascular epiphytes is poorly understood. Here, we examined variation in morphological and chemical leaf traits of 102 vascular epiphyte species spanning two environmental gradients along Cofre de Perote mountain in Mexico: i) a broad-scale environmental gradient approximated by elevation as well as by species' lower and upper elevational limits, and ii) small-scale environmental gradients using the relative height of attachment of an epiphyte on a host tree as a proxy for variation in environmental conditions within the forest canopy. We also assessed whether variation in morphological and chemical leaf traits along these gradients were consistent across photosynthetic pathways (CAM and C<sub>3</sub>). Broad- and small-scale environmental gradients explained more variation in chemical traits (marginal R2: 11-89%) than in morphological traits (marginal R2: 2-31%). For example, leaf carbon isotope signatures (δ<sup>13</sup>C), which reflects water-use efficiency, varied systematically across both environmental gradients, suggesting a decrease in water-use efficiency with increasing lower and upper elevational limits and an increase in water-use efficiency with relative height of attachment. The influence of lower and upper elevational limits on trait variation differed between photosynthetic pathways, except for leaf dry matter content and leaf nitrogen-to-phosphorus ratio. Contrary to our expectations, broad- and small-scale environmental gradients explained minimal variation in morphological leaf traits, suggesting that environmental conditions do not constrain morphological leaf trait values of vascular epiphytes. Our findings suggest that assessing multiple drivers of leaf trait variation among photosynthetic pathways is key for disentangling the mechanisms underlying responses of vascular epiphytes to environmental conditions.</p>
Long series of semi-thin transverse sections of the vascular cambium of Robinia pseudoacacia L. (a-l)
<p>A series of consecutive transverse sections of the vascular cambium of black locust used for radial, and tangential planes reconstruction in: </p> <p>Miodek, A., Gizińska, A., Włoch, W. <em>et al.</em> Intrusive growth of initials does not affect cambial circumference in <em>Robinia pseudoacacia</em>. <em>Sci Rep</em> <strong>12, </strong>7428 (2022). https://doi.org/10.1038/s41598-022-11272-y</p> <p>Scale bar = 20 μm</p>
Raw data for the manuscript entitled "Forest age and topographic position jointly shape the species richness and composition of vascular plants in karstic habitats"
<p>Doline surveys from the Mecsek Mountains, Hungary. Transects were established with north to south orientation across each doline, traversing their deepest point. Transects began and ended on doline rims, and consisted of 1 m  × 1 m plots spaced at 2 m intervals (94, 89, 90 and 99 plots in the different forest age classes, respectively; 372 plots in total). We recorded the presence/absence data of shrubs and herbs in each plot. Fieldwork was carried out between 2007 and 2019 from June to August, at the peak of the growing season.</p>
Supplementary material 1 from: Baum S, Weih M, Bolte A (2012) Stand age characteristics and soil properties affect species composition of vascular plants in short rotation coppice plantations. BioRisk 7: 51-71. https://doi.org/10.3897/biorisk.7.2699
Number of plots containing the respective species is stated.
Photoreceptor glucose metabolism determines normal retinal vascular growth
<p>The neural cells and factors determining normal vascular growth are not well defined even though vision-threatening neovessel growth, a major cause of blindness in retinopathy of prematurity (ROP) (and diabetic retinopathy), is driven by delayed normal vascular growth. We examined if hyperglycemia and low adiponectin (APN) levels delayed normal retinal vascularization, driven primarily by dysregulated photoreceptor metabolism.</p> <p>One part of the experiments was to use targeted quantitative proteomics to measure the expression of proteins with selected reaction monitoring. We measured the enzymes in glycolysis, the Krebs cycle, and several addition mitochondrial proteins.</p> <p>We found that in a neonatal mouse model of postnatal hyperglycemia modeling early ROP, hyperglycemia caused photoreceptor dysfunction and delayed neurovascular maturation associated with changes in the APN pathway; recombinant mouse APN or APN receptor agonist adipoRon treatment normalized vascular growth. APN deficiency decreased retinal mitochondrial metabolic enzyme levels particularly in photoreceptors, suppressed retinal vascular development and decreased photoreceptor platelet-derived growth factor (Pdgfb). APN pathway activation reversed these effects. Blockade of mitochondrial respiration abolished adipoRon-induced Pdgfb increase in photoreceptors. Photoreceptor-knockdown of Pdgfb delayed retinal vascular formation. Stimulation of the APN pathway might prevent hyperglycemia-associated retinal abnormalities andsuppress Phase I ROP in premature infants.</p>
Vascular Epiphytes of the South America Dry Diagonal (SADD)
<p>Dataset from the paper: Vascular Epiphytes of the South America Dry Diagonal: Characterizing Their Occurrence and Richness in this Neglected Region</p>
Source files supporting "Nanoparticles Dysregulate the Human Placental Secretome with Consequences on Angiogenesis and Vascularization"
<p>Research data supporting the publication: Dugershaw-Kurzer, B. et al., 2024, "Nanoparticles Dysregulate the Human Placental Secretome with Consequences on Angiogenesis and Vascularization", Advanced Sciences. https://doi.org/10.1002/advs.202401060</p>
Neurovascular coupling and CO2 interrogate distinct vascular regulations
<p>This repository complements our publication entitled "<a href="https://www.nature.com/articles/s41467-024-49698-9" target="_blank" rel="noopener">Neurovascular coupling and CO2 interrogate distinct vascular regulations</a>" published in Nature Communications. It provides:</p> <ul> <li>the Matlab scripts used to fit model functions on our data and determine the onsets of the responses,</li> <li>the data used to generate the main figures and the supplementary figures of the publication (Excel file).</li> </ul> <p>Compatibility: These scripts have been tested with MATLAB 2018a and 2022b on Windows 10 & 11.</p>
African wood density database with matches to the taxonomic backbone data sets of World Flora Online (version 2023.12) and the World Checklist of Vascular Plants (version 11)
<p>The <strong><span>African Wood Density Database </span></strong><span>provides air-dry wood density data for over 750 tree species grown in Africa.</span></p> <p>This archive provides taxonomic matches with recent versions of <strong>World Flora Online</strong> (WFO; <a href="../records/10425161">version 2023.12 downloaded from Zenodo</a>; Borch et al. <a href="https://onlinelibrary.wiley.com/doi/10.1002/tax.12373">2020</a>) and the <strong>World Checklist of Vascular Plants</strong> (WCVP; <a href="https://sftp.kew.org/pub/data-repositories/WCVP/Archive/">version 11 downloaded from the Kew data depository</a>; Govaerts et al. <a href="https://doi.org/10.1038/s41597-021-00997-6">2021</a>). Matching was done via the <strong>WorldFlora</strong> package (<a href="https://cran.r-project.org/package=WorldFlora">version 1.14-3</a>; Kindt <a href="https://bsapubs.onlinelibrary.wiley.com/doi/full/10.1002/aps3.11388">2020</a>), using similar scripts as documented in this Rpub: <a href="https://rpubs.com/Roeland-KINDT/1134151">https://rpubs.com/Roeland-KINDT/1134151</a>.</p> <p> </p> <ul> <li><span>Carsan, S. Orwa, C. Harwood, C. Kindt, R. Stroebel, A. Neufeldt, H. and Jamnadass, R. 2012. African Wood Density Database. World Agroforestry Centre, Nairobi. <a href="https://apps.worldagroforestry.org/treesnmarkets/wood/">https://apps.worldagroforestry.org/treesnmarkets/wood/#</a> </span></li> <li><span>Borsch, T., Berendsohn, W., Dalcin, E., Delmas, M., Demissew, S., Elliott, A., Fritsch, P., Fuchs, A., Geltman, D., Güner, A., Haevermans, T., Knapp, S., le Roux, M.M., Loizeau, P.-A., Miller, C., Miller, J., Miller, J.T., Palese, R., Paton, A., Parnell, J., Pendry, C., Qin, H.-N., Sosa, V., Sosef, M., von Raab-Straube, E., Ranwashe, F., Raz, L., Salimov, R., Smets, E., Thiers, B., Thomas, W., Tulig, M., Ulate, W., Ung, V., Watson, M., Jackson, P.W. and Zamora, N. (2020), World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world's plants. TAXON, 69: 1311-1341. <a href="https://doi.org/10.1002/tax.12373">https://doi.org/10.1002/tax.12373</a></span></li> <li><span>Govaerts, R., Nic Lughadha, E., Black, N. <em>et al.</em> The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. <em>Sci Data</em> <strong>8</strong>, 215 (2021). <a href="https://doi.org/10.1038/s41597-021-00997-6">https://doi.org/10.1038/s41597-021-00997-6</a></span></li> <li><span>Kindt, R. 2020. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. <em>Applications in Plant Sciences</em> 8(9): e11388. <a href="https://doi.org/10.1002/aps3.11388">https://doi.org/10.1002/aps3.11388</a></span></li> </ul> <p> </p> <p>Original funding for the database was provided <span>by the Carbon Benefits Project (CBP) supported by The Global Environment Facility (GEF). Development of the 2024 version </span>was supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em>, by the <strong>Bezos Earth Fund</strong> to the <em>Bezos Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>. When using <strong>African Wood Density database</strong> in your work, cite the 2012 version (Carsan et al. <a href="https://apps.worldagroforestry.org/treesnmarkets/wood/">2012</a>) as well as this repository using the DOI.</p>
Fig. 4 in New distributional records of non-native vascular plants in northern Italy
Fig. 4 - Perilla frutescens, Basaluzzo (AL), September 2014 (Photo: F. Verloove).
Fig. 3 in New distributional records of non-native vascular plants in northern Italy
Fig. 3 - Oenothera pedemontana, Bereguardo (PV), September 2014 (Photo: N. Ardenghi).
Fig. 2 in New distributional records of non-native vascular plants in northern Italy
Fig. 2 - Bidens vulgatus, Martignana di Po (CR), September 2014 (Photo: F. Verloove).
Fig. 5 in New distributional records of non-native vascular plants in northern Italy
Fig. 5 - Populus deltoides, San Rocco al Porto (LO), September 2014 (Photo: F. Verloove).
Fig. 3 in The Flora Of Vascular Plants In The Nature Reserve "Pašuliene Forest"
Fig. 3. Protected habitats of European Union importance in the nature reserve "Pašuliene Forest".
Fig. 1 in The Flora Of Vascular Plants In The Nature Reserve "Pašuliene Forest"
Fig. 1. Location of the nature reserve "Pašuliene Forest" in Latvia.
Fig. 3 in The Flora Of Vascular Plants In Nature Reserve "Eglone"
Fig. 3. Distribution of forest stands in nature reserve "Eglone" by dominant tree species.
Fig. 4 in The Flora Of Vascular Plants In Nature Reserve "Eglone"
Fig. 4. Distribution of forest stands in nature reserve "Eglone" by forest stand age.
Fig.1 in The Flora Of Vascular Plants In Nature Reserve "Eglone"
Fig.1. Location of nature park "Eglone"
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.