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15,519 results for “r”
F I G U R E 2 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 2 The localisation in the retina of Misgurnus anguillicaudatus of (a), (d), (g), (j) bmi1, (b), (e), (h), (k) msi1 and (c), (f), (i), (l) sox2 genes () by using fluorescent in situ hybridisation: (a), (b), (c) 1 month old; (d), (e), (f) age of 7 months; (g), (h), (i) age of 1 year. The visual layer and some few pigment epithelial cells of retina, as well as the lens were the obvious sites for genes expressions. (j), (k), (l) Negative control sense probe. L, Lens; g, ganglion cell layer; vl, visual layer or photoreceptor layer; PE, pigment epithelium. The total number of fish used was n = 15
F I G U R E 1 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 1 General histological observations of the eye of Misgurnus anguillicaudatus, showing (a) the lens (L) and retina (R) at age 1 month stained with haematoxylin and eosin (H&E); (b) the seven layers of retina at age 1 month stained with H&E (1, ganglion cell layer; 2, inner plexiform layer; 3, inner nuclear layer; 4, outer plexiform layer; 5, outer nuclear layer; 6, photoreceptor layer or visual laye; 7, pigment epithelium); (c) retina at age 1 month stained with Holzer's crystal violet stain (, glial cells); (d) at age 1 year stained with Holzer's crystal violet stain
F I G U R E 6 in Characterisation of stem and proliferating cells on the retina and lens of loach Misgurnus anguillicaudatus
F I G U R E 6 The immunohistochemistry of (a), (b) peroxisome proliferator-activated receptor (PPAR)α and (c), (d) PPARγ in the eye () of Misgurnus anguillicaudatus. The main sites for PPARα expression were ganglion cell layer, inner plexiform, outer plexiform and visual layers. R, Retina; C, cornea; L, lens (L); GCL, ganglion cell layer; IP, inner plexiform IN, inner nuclear; OP, outer plexiform; ON, outer nuclear; vl, photoreceptor layer; PE, pigment epithelium layer (PE). The total number of fish used was n = 5
F I G U R E 1 in Oreonectes guilinensis (Teleostei, Cypriniformes, Nemacheilidae), a new loach species from Guangxi, China
F I G U R E 1 Oreonectes guilinensis sp. nov. Holotype ASIZB 208002, standard length 66.3 mm preserved specimens
Popek, R., Roy, A., Mandal, M., et al. (2024) Enhancing Urban Sustainability: How Spatial and Height Var-iability of Roadside Plants Improves Pollution Capture for Greener Cities - DATA
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Raw data for TrackMate tracking output and R script for data analysis
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Gładysz, K., Wrochna M., & Popek, R. (2024) Tracking Particulate Matter Accumulation on Green Roofs: A Comparative Study at Warsaw University Library - DATA
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The Muon Space GNSS-R Surface Soil Moisture Product
<p>Muon Space is building a constellation of small satellites, many of which will carry global navigation satellite system (GNSS) reflectometry (GNSS-R) receivers. In preparation for the launch of this constellation, we have developed a generalized deep learning retrieval pipeline, which now produces operational GNSS-R soil moisture (SM) retrievals using data from NASA’s Cyclone GNSS (CYGNSS) mission. This record includes the complete set of these retrievals from August 1, 2018 until September 26, 2024 in the form of individual "tracks" aggregated into daily, per receiver, files (Level 2 data), along with hourly and daily gridded files (Level 3 data) from the entire constellation. The Muon Space CYGNSS SM product achieves improvements in spatial resolution over SMAP with comparable performance in many regions. An ubRMSE of 0.032 cm3 cm-3 for in situ SM observations from SMAP core validation sites has been demonstrated, though performance is lower than SMAP in forests and/or mountainous terrain. The Muon Space product outperforms the official v1.0 CYGNSS SM product in many measures. This initial release serves as the foundation of the Muon Space operational SM product, which soon will additionally include data from Muon Space satellites.</p> <p>A manuscript describing both the processes involved in generating these SM retrievals, as well as the product files in detail, is available <a title="The Muon Space GNSS-R Surface Soil Moisture Product " href="https://arxiv.org/abs/2412.00072" target="_blank" rel="noopener">here</a>. A code repository demonstrating simple visualization of these data files is available <a title="muon-gnssr-soil-moisture-product-intro git" href="https://github.com/Muon-Space/muon-gnssr-soil-moisture-product-intro" target="_blank" rel="noopener">here</a>. Access to an operational version of the SM datasets will be available from this landing page in Q1 of 2025.</p>
An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters: Data and R code
<p>These are the data and R code that accompany the Forest Ecology and Management publication titled "An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters". </p>
R script and Data
<p>Full R project with Rmarkdown script and Data</p>
Data and R scripts for "Allometric scaling of hyporheic respiration across basins in the Pacific Northwest USA" submission (Release L1)
<p>This repository holds data and scripts used for the analyses presented in a manuscript entitled "Allometric scaling of hyporheic respiration across basins in the Pacific Northwest United States" in revision in JGR Biogeosciences.</p>
Compendium of R code and data for Mycenaean roads in the Peloponnese, Greece: least-cost path modelling using R and Movecost
<p><strong>Abstract</strong></p> <p><em>This study evaluates multiple methodologies and their variants for Least Cost Path (LCP) modelling, applied in combination with different Digital Elevation Models (DEMs), to explore the broader applicability of the Movecost package, using the Mycenaean road networks of the Peloponnese (Greece) as case studies. Using a geographic information system (GIS) and the R programming environment, this paper employs the Movecost package for the R statistical package to simulate ancient routes based on existing road segments. By integrating a variety of functions and parameters, this study evaluates their effectiveness across different DEMs, including both Shuttle Radar Topography Mission DEM (SRTM-DEM) and Copernicus DEM (COP-DEM) at 30 m spatial resolution. The study also examines how varying these parameters can lead to different modelling outcomes, underscoring the necessity of calibrating least-cost analysis to specific regional contexts. The road segments around Nichoria (Messenia), Ayios Ioannis Kazarma (Argolis), and in the Berbati Valley (Argolis), provide a historical canvas against which these methodological innovations are tested with the ultimate aim of exploring the capabilities of the Movecost package and how different combinations of DEM, function, parameter, and path points can effectively model the route through the existing road remains, highlighting the variability and context-specific nature of LCP modelling. The results suggest that the 'Wheeled-vehicle critical cost function' (WCS) was effective in modelling the roads through the extant remains based on start and endpoints suggested by previous research and posited by this paper. These results further suggest that Mycenaean roads likely served as key infrastructure links between major centres and ports or harbours, underscoring their role in facilitating regional trade and communication. However, this outcome represents one of several possible results, as the appropriateness of functions and the parameters tested depend on the specific landscape and archaeological context. This underscores the importance of careful parameter selection, providing insights into the economic and social landscapes of Mycenaean Greece, while also highlighting the potential of integrating spatial data with robust computational tools to enhance our understanding of ancient infrastructure.</em></p>
Raw data and R code for the stone artifact analysis in "Lithic miniaturization in South China since the terminal Pleistocene: a multivariate analysis of lithic reduction from Fodongdi, Fulin and Xiqiaoshan"
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R vignette of Toothnroll: full data and R code
<p>R vignette of Toothnroll: full data and R code</p>
FIGURES 1–4. R in New species and host plant records for Neotropical Rhagoletis Loew (Diptera: Tephritidae)
FIGURES 1–4. R. antioquiensis female (Colombia: Antioquia, La Unión ICAMF00000480): 1, Habitus; 2, Head frontal; 3, Head lateral; 4, Thorax and head, dorsal.
FIGURES 10–13. R in New species and host plant records for Neotropical Rhagoletis Loew (Diptera: Tephritidae)
FIGURES 10–13. R. antioquiensis (Colombia: Antioquia, La Unión ICAMF00000480); 10, denticles of eversible mebrane; 11, aculeus; 12, aculeus tip; 13, Spermatheca. 14, R. jamaicensis female (Colombia: Anolaima ICAMF00000512) habitus, lateral; 15, Rhagoletis. sp., psalida complex female (Colombia: Bogotá, ICAMF00000534), habitus, dorsal, on host plant and copulating on a stem of S. interandinum Bitter.
FIGURES 5–9. R in New species and host plant records for Neotropical Rhagoletis Loew (Diptera: Tephritidae)
FIGURES 5–9. R. antioquiensis: 5–6, female (Colombia: Antioquia, La Unión ICAMF00000480); 5, Wing; 6, Abdomen dorsal; 7–9, male (Colombia: Antioquia, Abejorral ICAMF00000481); 7, Abdomen dorsal; 8–9, Male terminalia, epandrium and surstyli; 8, Posterodorsal; 9, Lateral.
FIGURE 7. Asplenium polyodon G.Forst. R. Schodde 316 in Taxonomic and nomenclatural notes on Philippine ferns. IV. Asplenium pahli (Polypodiales, Aspleniineae, Aspleniaceae), a new species from Leyte, Philippines
FIGURE 7. Asplenium polyodon G.Forst. R. Schodde 316 (BM). Note pinna shape, serration and soral arrangement. Courtesy of the Herbarium, British Museum of Natural History, London, England. Photo by A.E. Salgado; not published.
R script used for: Telomeres in a spatial context: a tool for understanding ageing pattern variation in wild populations
<p><span><span><span><span><span><span><span><span><span><span><span>Ageing refers to the loss of organismal functionality with age, a process that is characterised by decreased reproduction and survival probability. In natural populations, it is expected that environmental conditions influence an individual's ageing trajectory. Understanding the role of environmental heterogeneity on ageing variation could provide criticleinsights into population resilience and species distribution but remains overlooked. Telomeres, the end cap of chromosomes, are a promising integrative physiological marker of an individual's health and a possible proxy to aid the understanding of variation in ageing trajectories. Here, we review the existing information on telomere length and its dynamics in wild populations distributed across spatial scales. Despite a relative scarcity of information, there is evidence for divergence in telomere length between populations facing contrasting environments. Nonetheless, a higher spatial resolution and temporal replication is needed to fully understand the role that environmental conditions play on telomere length variation. Since most of the existing studies are correlational, future field and laboratory experiments are required. For the first time, we demonstrate the use of population telomere data to predict species habitat suitability through Species Distribution Models (SDMs). This represents a promising new research area in the study of ageing pattern variation in wild populations. Furthermore, the inclusion of telomere data in future physiological-SDMs may improve our understanding of species distribution and population resilience. However, the use of telomeres within this context could be limited if no previous knowledge on the relevance of telomeres as markers of health and survival at the species level is available. Finally, we suggest some key practical and theoretical considerations that, ideally, future studies combining biogeographic and telomere data should pay attention. </span></span></span></span></span></span></span></span></span></span></span></p>
Subspecies and Distribution. Vr. rueppellii Schinz, 1825 — Egypt and Sudan (Nubian Desert). V. r. caesia Thomas & Hinton, 1921 — N & W Africa. V. r. cyrenaica Festa, 1921 — SW Egypt, Lybia, extreme NW Sudan. V. r. sabaea Pocock, 1934 — Arabian Peninsula and Middle East. V. r. somaliae Thomas, 1918 — Eritrea, Ethiopia, and Somalia. V. r. zarudny: Birula, 1913 — Baluchistan in Afghanistan, Iran, and Pakistan. in Canidae
Subspecies and Distribution. Vr. rueppellii Schinz, 1825 — Egypt and Sudan (Nubian Desert). V. r. caesia Thomas & Hinton, 1921 — N & W Africa. V. r. cyrenaica Festa, 1921 — SW Egypt, Lybia, extreme NW Sudan. V. r. sabaea Pocock, 1934 — Arabian Peninsula and Middle East. V. r. somaliae Thomas, 1918 — Eritrea, Ethiopia, and Somalia. V. r. zarudny: Birula, 1913 — Baluchistan in Afghanistan, Iran, and Pakistan.
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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.