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10,356 results for “Severity”
SARS-CoV-2 viral loads across the upper and lower respiratory tract, sex, disease severity and age groups for adult and pediatric COVID-19
<p>This dataset shows SARS-CoV-2 respiratory viral loads (viral RNA concentration in the respiratory tract) in the upper and lower respiratory tract for age, sex and COVID-19 severity groups. The data were obtained from a systematic review. The model outputs show the Weibull distributions, case percentiles, and sensitivity & specificity when using SARS-CoV-2 viral load (URT or LRT) as a prognostic indicator. See our paper for more information.</p>
FIGURE 22 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 22: Protoribates hirokous sp. nov. A, Gnathosomal region; B, Solenidial region on tarsus and tibia of leg I; C, Tibia II (narrow arrow: spur); D, Chelicera.
FIGURE 20 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 20: Protoribates kumayaensis sp. nov. A, Anterior half of ventral region; B, Posterior half of ventral region.
FIGURE 19 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 19: Protoribates kumayaensis sp. nov. A, Prodorsum; B, Right half of notogaster; C, Right sensillus.
FIGURE 18 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 18: Zygoribatula iheyaensis sp. nov. A, Anterior half of left ventral region; B, Genito-anal region.
FIGURE 15 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 15: Oribatula kumayaensis sp. nov. A, Prodorsum; B, Anterior half of ventral region; C, Solenidial region on tarsus and tibia of leg I.
FIGURE 17 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 17: Zygoribatula iheyaensis sp. nov. A, Dorsal view; B, Bothridial region; C, Solenidial region on tarsus and tibia of leg I.
FIGURE 13 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 13: Mabulatrichus kumayaensis sp. nov. A, Anterior half of ventral region; B, Solenidial region on tarsus and tibia of leg I.
FIGURE 10 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 10: Eupelops kumayaensis sp. nov. A, Dorsal view; B, Ventral view; C, Anterior tectum of notogaster of a depressed specimen; D, Areae porosae and setae; E, Tarsus of pedipalp.
FIGURE 12 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 12: Mabulatrichus kumayaensis sp. nov. A, Prodorsum; B, Anterior half of left notogaster; C, Posterior half of left notogaster.
FIGURE 11 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 11: Eupelops kumayaensis sp. nov. A, Left bothridial region and right sensillus; B, Tip of tutorium and rostral seta; C, Chelicera; D, Gnathosoma; E, Genu I; F, Solenidial region on tarsus and tibia of leg I; G, Tibia IV.
FIGURE 1 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 1: The plane figure, a cross section and a vertical section of Kumaya Cave (after Arakaki and Ooshiro, in Moromi, 1981), and sampling plots A-E (photos by Fukumori S.).
FIGURE 8 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 8: Tectocepheus iheyaensis sp. nov. A, Prodorsal region; B, Camerostome and epimeral region; C, Solenidial region on tarsus and tibia of leg I; D, Tarsus and tibia of leg II.
FIGURE 7 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 7: Tectocepheus kumayaensis sp. nov. A, Solenidial region on tarsus and tibia of leg I; B, Left epimeral region.
FIGURE 3 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 3: Neoliodes iheyaensis sp. nov. A, Part of femur IV; B, Camerostoma; C, Medial portion of mentotectum; D, Right ventral region; E, Genu and femur of leg I.
FIGURE 4 in Oribatid Fauna (Acari, Oribatida) From The Kumaya Cave Of Iheya Village In Central Ryukyu Arc, South Japan, With A Description Of Several New Species
FIGURE 4: Neoliodes iheyaensis sp. nov. A, Claws of tarsus I; B, Bothridial region; C, Part of chelicera; D, Tarsus of pedipalp; E, Solenidial region on tarsus and tibia of leg I; F, Setae.
SGLT2-Inhibition reverts urinary peptide changes associated with severe COVID-19: an in-silico proof-of-principle of proteomics-based drug repurposing
<p>Severe COVID-19 is reflected by significant changes in urine peptides. Based on this observation, a clinical test predicting COVID-19 severity, CoV50, was developed and registered as in vitro diagnostic in Germany. We have hypothesized that molecular changes displayed by CoV50, likely reflective of endothelial damage, may be reversed by specific drugs. Such an impact by a drug could indicate potential benefits in the context of COVID-19. To test this hypothesis, urinary peptide data from patients without COVID-19 prior to and after drug treatment were collected from the human urinary proteome database. The drugs chosen were selected based on availability of sufficient number of participants in the dataset (n>20) and potential value of drug therapies in the treatment of COVID-19 based on reports in the literature. In these participants without COVID-19, spironolactone did not demonstrate a significant impact on CoV50 scoring. Empagliflozin treatment resulted in a significant change in CoV50 scoring, indicative of a potential therapeutic benefit. The study serves as a proof-of-principle for a drug repurposing approach based on human urinary peptide signatures. The results support the initiation of a randomised control trial testing a potential positive effect of empagliflozin for severe COVID-19, possibly via endothelial protective mechanisms.</p>
T cell dysregulation associated with COVID-19 severity and progression
<p>The dataset refers to a study the objective of which was to retrospectively investigate the immune dysregulation associated with COVID-19 severity and clinical course in hospitalised patients. Immunophenotyipc analyses were performed by multi-colour flow cytometry on whole blood samples, the systemic concentration of selected cytokines was determined in serum samples.</p> <p>The dataset contains de-identified demographic and clinical information, as well as experimental raw data.</p>
Disentangling effects of disturbance severity and frequency: does bioindication really work?
<p>Ecological disturbances are recognized as a crucial factor influencing the attributes of ecological communities. Depending on the specific adaptation or life cycle, plant species show different responses to disturbances of different magnitudes. Herben et al. (2016) proposed disturbance indicator values (DIVs) that describe the niche of each Central-European plant species along gradients of disturbance frequency and severity. Here we ask if the DIVs can be used in community ecology for bioindication of disturbance regime?</p> <p>We used a dataset of riparian forests sampled within mountain catchments (the Sudetes, SW Poland). As the regime of disturbance is driven by changes in floods from the spring towards the mouth, we calculated the position of every plot along longitudinal (upstream-downstream) gradient and used it as a proxy for the disturbance severity and frequency. We then calculated the community-weighted means (CWMs) for each of the six indices for each plot and analyzed whether these indices reflected the position of the plots along the rivers. We expected an increase in the severity indices and a decrease in the frequency indices downstream along the rivers. Moreover, we analyzed relationships between disturbance indices and species optima along longitudinal gradient.</p> <p>Surprisingly, means for all analyzed indices increased along the rivers. Severity indices showed the strongest association with the longitudinal gradient. The disturbance severity index for herbs was the only index that differed significantly among species with different responses along longitudinal gradient. On these results, we identified a strong correlation between the severity and frequency indices as the main problem.</p> <p>We conclude that the DIVs have considerable applicative potential; however, the determination of ecological niches separately for disturbance severity and frequency is difficult because different components interact to shape the realized niche of each species. All analyzed indices encompass different attributes of the disturbance regime including both severity and frequency.</p>
Burn severity data from: The heterogeneity of burn severity affects bird density in an abandoned mountain landscape of the Atlantic-Mediterranean transition
<p><strong>[Abstract]</strong></p> <p>Fire regimes in mountain landscapes of southern Europe have been shifting from their baselines due to the accumulation of fuel fostered by long-standing rural abandonment and fire exclusion policies. Understanding the role of fire on biodiversity is paramount to implement adequate management to mitigate the impacts of altered fire regimes and land abandonment on biodiversity. Here, we explored to what extent the spatiotemporal variation in burn severity has affected bird abundance of a mountain abandoned landscape located in the Atlantic-Mediterranean transition (NW Iberia). We took advantage of: (1) satellite images of Sentinel 2 and Landsat missions to compute burn severity indicators from 2010 to 2020, and (2) standardized bird surveys carried out over 206 point-counts along the breeding season of 2021. Bird abundance models were built from burn severity metrics together with well-known fire regime attributes (% of burnt area and time since fire). Our results showed that the spatiotemporal variation of burn severity significantly correlated with the abundance of the 39% of the modeled species, supporting the role of pyro-diversity in driving bird populations in our region. The burnt area also explained abundance patterns for 28% of species. Time since fire only correlated with the abundance of 3 species. Our findings confirm the importance of incorporating burn severity indicators into the toolkit of decision makers to anticipate the response of birds to fire management.</p> <p><strong>[Dataset Description]</strong></p> <p>For each year between 2010 and 2020, we used a pair of satellite images, one before (April - July) and one after (September - November) the fire season. In order to use the best available information, we selected different satellites along the study period: for years 2010 and 2011, we used Landsat 5 imagery, whereas for 2012 we used Landsat 7, since Landsat 5 imagery was not useful due to high cloudiness. Since its launch in 2013, we shifted to Landsat 8 data, and finally to Sentinel 2 data from 2015 onwards. For each of these images we calculated the Normalized Burn Ratio (NBR), which is the normalized ratio between near infrared (NIR) and short wave infrared (SWIR) radiation (Eq. 1). NIR and SWIR bands of satellite sensors respond in opposite ways to burned vegetation, allowing to identify burned areas.</p> <p>NBR =(NIR - SWIR) / (NIR +SWIR) (1)</p> <p>To obtain a quantitative measure of change for each year, we calculated the dNBR by subtracting the NBR of the post-fire season image from the NBR of the pre-fire season image (Eq. 2). Finally, dNBR values were used as an estimate for fire severity.</p> <p>dNBR = NBRprefire- NBRpostfire (2)</p>
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.