Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,356
datasets available to search
ShareScore release 0.9.0
Dataset results
10,356 results for “Severity”
Supplementary materials for Plotkin-Sela et al 2010: Sniffing enables communication and environmental control for the severely disabled
<p>Supplementary materials for Plotkin-Sela et al 2010:</p> <p>Sniffing enables communication and environmental control for the severely disabled</p> <p>Anton Plotkin, Lee Sela, Aharon Weissbrod, Roni Kahana, Lior Haviv, Yaara Yeshurun, Nachum Soroker, Noam Sobel</p> <p>Proceedings of the National Academy of Sciences Aug 2010, 107 (32) 14413-14418; DOI: 10.1073/pnas.1006746107</p>
The effect of parasite dose on disease severity in the rodent malaria Plasmodium chabaudi
<p>Experiments were designed to look at the relationship between infective dose and disease severity using two clones of <em>Plasmodium chabaudi</em> that differ in virulence. We asked whether there were dose–severity relationships, whether clone differences in virulence were maintained over a range of doses, and whether disease severity could be accounted for by parasite dynamics. Groups of mice were infected with parasite doses differing by an order of magnitude, ranging from 100 to 1×10<sup><sup>8</sup></sup> parasites. Infective dose affected the probability of death, but only with the more virulent clone. Dose also affected morbidity. For both clones, higher doses induced greater anaemia. Larger doses caused greater weight loss, but only for infections with the more virulent clone. Here, for a given dose, mice lost a fixed amount of weight, irrespective of their initial weight. Larger doses induced earlier mortality and morbidity than did lower dose treatments. Finally, dose affected parasite dynamics, with earlier and higher peak parasite densities in larger dose infections. All these effects were small relative to clone differences in disease severity, which were apparent across the range of doses. Dose effects were manifested through the timing and/or magnitude of peak parasite densities, broadly supporting the idea that dose affects disease severity by altering the time the host has to control parasite densities and ameliorate the effects of parasites. We discuss the possible efficacy of intervention strategies aimed at reducing human disease severity by reducing infective parasite dose.</p>
Data from: Salinity stress increases the severity of ranavirus epidemics in amphibian populations
The stress-induced susceptibility hypothesis, which predicts chronic stress weakens immune defenses, was proposed to explain increasing infectious disease-related mass mortality and population declines. Previous work characterized wetland salinization as a chronic stressor to larval amphibian populations. Thus, we combined field observations with experimental exposures quantifying epidemiological parameters to test the role of salinity stress in the occurrence of ranavirus-associated mass mortality events. Despite ubiquitous pathogen presence (94%), populations exposed to salt runoff had slightly more frequent ranavirus related mass mortality events, more lethal infections, and 117-times greater pathogen environmental DNA. Experimental exposure to chronic elevated salinity (0.8-1.6 g/L Cl-) reduced tolerance to infection, causing greater mortality at lower doses. We found a strong negative relationship between splenocyte proliferation and corticosterone in ranavirus-infected larvae at a moderate elevation of salinity, supporting glucocorticoid-medicated immunosuppression, but not at high salinity. Salinity alone reduced proliferation further at similar corticosterone levels and infection intensities. Finally, larvae raised in elevated salinity had 10-times more intense infections and shed 5-times as much virus with similar viral decay rates, suggesting increased transmission. Our findings illustrate how a small change in habitat quality leads to more lethal infections and potentially greater transmission efficiency, increasing the severity of ranavirus epidemics.
Data from: Current ecology, not ancestral dispersal patterns, influences menopause symptom severity
<p>All human females who reach midlife experience menopause, however, it is currently unclear why women experience this period of infertility, and why it is accompanied by many unpleasant symptoms. Using primary data from four ethnic groups in China, we test an existing theory that age of menopause and its symptoms are the result of intragenomic conflict between maternally and paternally inherited genes, with the outcome of such conflict predicted to be contingent on the ancestral post-marital residence pattern of the female (Úbeda et al., 2014). The model predicts that being ancestrally patrilocal results in less intragenomic conflict, causing a shorter, less symptomatic peri-menopause that terminates in a later menopause. Our findings show no support for this hypothesis, and suggest current, rather than ancestral, residence patterns better predict aspects of the menopausal transition. Furthermore, current patrilocality when compared to duolocality is associated with more severe menopause symptoms, which may be due to sexual, rather than intragenomic, conflict.</p>
Global flow of earth science scientific articles based on several databases
<p>Global flow of earth science scientific articles based on several databases contains the summary of our findings from our search of earth science articles in ten databases:</p> <ol> <li>Google Scholar</li> <li>Lens</li> <li>Dimensions</li> <li>Korean Citation Index</li> <li>Russian Scientific Citation Index</li> <li>Garuda Ristekbrin</li> <li>HAL</li> <li>Scielo</li> <li>Scopus</li> <li>Web of Science</li> </ol> <p>The data are visualized using Datawrapper in the following links. All graphs contain links to the data sources (click "Get the data" under each graph):</p> <ol> <li><a href="https://www.datawrapper.de/_/YxTc9/">https://www.datawrapper.de/_/YxTc9/ (Scielo)</a></li> <li><a href="https://www.datawrapper.de/_/blOXM/">https://www.datawrapper.de/_/blOXM/ (Dimensions)</a></li> <li><a href="https://www.datawrapper.de/_/0fyDw/">https://www.datawrapper.de/_/0fyDw/ (Lens)</a></li> <li><a href="https://www.datawrapper.de/_/ad6c8/">https://www.datawrapper.de/_/ad6c8/ (Scopus)</a></li> <li><a href="https://www.datawrapper.de/_/NyypS/">https://www.datawrapper.de/_/NyypS/ (Maximum score for documents in rank promotion regulation of Indonesia)</a></li> <li><a href="https://www.datawrapper.de/_/s1KMD/">https://www.datawrapper.de/_/s1KMD/ (Percentage of OA earth sciences documents in several databases)</a></li> <li><a href="https://www.datawrapper.de/_/2nBnP/">https://www.datawrapper.de/_/2nBnP/ (Sum of earth sciences documents in several databases)</a></li> <li><a href="https://www.datawrapper.de/_/CgpLO/">https://www.datawrapper.de/_/CgpLO/ (Distribution of earth sciences documents by year in log scale)</a></li> </ol>
Longitudinal proteomic profiling of high-risk patients with COVID-19 reveals markers of severity and predictors of fatal disease
<p>End-stage kidney disease (ESKD) patients are at high risk of severe COVID-19. We performed dense serial blood sampling in hospitalised and non-hospitalised ESKD patients with COVID-19 (n=256 samples from 55 patients) and used Olink immunoassays to measure 436 circulating proteins. Comparison to 51 non-infected ESKD patients revealed 221 proteins differentially expressed in COVID-19, of which 69.7% replicated in an independent cohort of 46 COVID-19 patients. 203 proteins were associated with clinical severity scores, including IL6, markers of monocyte recruitment (e.g. CCL2, CCL7), neutrophil activation (e.g proteinase-3) and epithelial injury (e.g. KRT19). Random Forests machine learning identified predictors of current or future severity such as KRT19, PARP1, PADI2, CCL7, and IL1RL1 (ST2). Survival analysis with joint models revealed 69 predictors of death including IL22RA1, CCL28, and the neutrophil-derived chemotaxin AZU1 (Azurocidin). Finally, longitudinal modelling with linear mixed models uncovered 32 proteins that display different temporal profiles in severe versus non-severe disease, including integrins and adhesion molecules. Our findings point to aberrant innate immune activation and leucocyte-endothelial interactions as central to the pathology of severe COVID-19. The data from this unique cohort of high-risk individuals provide a valuable resource for identifying drug targets in COVID-19.</p>
Data from: Disturbance detection in Landsat time series is influenced by tree mortality agent and severity, not by prior disturbance
<p><span>Landsat time series (LTS) and associated change detection algorithms are useful for monitoring the effects of global change on Earth's ecosystems. Because LTS algorithms can be easily applied across broad areas, they are commonly used to map changes in forest structure due to wildfire, insect attack, and other important drivers of tree mortality. But factors such as initial forest density, tree mortality agent, and disturbance severity (i.e., percent tree mortality) influence patterns of surface reflectance and may influence the accuracy of LTS algorithms. And while LTS algorithms are widely used in areas with a history of multiple disturbance events during the Landsat record, the effectiveness of LTS algorithms in these conditions is not well understood. We compared products from the LTS algorithm LandTrendr (<span>Landsat-based Detection of Trends in Disturbance and Recovery) with</span> a unique field dataset from a landscape heavily influenced by both wildfire and spruce beetles (<i>Dendroctonus rufipennis</i>) since c. 2000. We also compared LandTrendr to other common methods of mapping fire- and spruce beetle-affected areas. We found that LandTrendr more accurately detected wildfire than spruce beetle-induced tree mortality, and both mortality agents were more easily detected when they occurred at high severity. Surprisingly, prior spruce beetle outbreaks did not influence the detectability of subsequent wildfire. Compared to alternative disturbance mapping approaches, LandTrendr predicted a c. 40% lower area affected by wildfire or spruce beetle outbreaks. <span>Our findings indicate that disturbance type- and severity-specific differences in omission error may have broad implications for disturbance mapping efforts that utilize Landsat data. Gradual, low-severity disturbances (e.g., background tree mortality and non-stand replacing disturbance) are pervasive in forest ecosystems, yet they can be difficult to detect using automated LTS algorithms. Whenever possible, methods to account for these biases should be incorporated in LTS-based mapping efforts, including the use of multispectral ensembles and ancillary spatial data to refine predictions. However, our findings also indicate that LTS algorithms appear to be robust in areas with multiple disturbance events, which is important because these areas will increase as new acquisitions extend the length of the Landsat record. </span></span></p>
Impact of Different Nesting Methods on the Simulation of a Severe Convective Event Over South Korea Using the Weather Research and Forecasting Model
<p>The data from various platforms (NCEP FNL, TRMM, ERA5, AWS) and WRF Model output utilised to generate the figures in the current study (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JD033084) are available at this Zenodo data repository.</p>
Data from: Resilience of seed production to a severe El Niño‐induced drought across functional groups and dispersal types
More frequent and severe El Niño Southern Oscillations (ENSO) are causing episodic periods of decreased rainfall. Although the effects of these ENSO-induced droughts on tree growth and mortality have been well studied, the impacts on other demographic rates such as reproduction are less well known. We use a four-year seed rain dataset encompassing the most severe ENSO-induced drought in more than 30 years to assess the resilience (i.e. resistance and recovery) of the seed composition and abundance of three forest types in a tropical dry forest. We found that forest types showed distinct differences in the timing, duration and intensity of drought during the ENSO event, which likely mediated seed composition shifts and resilience. Drought-deciduous species were particularly sensitive to the drought with overall poor resilience of seed production, whereby seed abundance of this functional group failed to recover to pre-drought levels even two years after the drought. Liana and wind-dispersed species were able to maintain seed production both during and after drought suggesting that ENSO events promote early successional species or species with a colonization strategy. Combined, these results suggest that ENSO-induced drought mediates the establishment of functional groups and dispersal types suited for early successional conditions with more open canopies and reduced competition among plants. The effects of the ENSO-induced drought on seed composition and abundance were still evident two years after the event suggesting the recovery of seed production requires multiple years that may lead to shifts in forest composition and structure in the long-term, with potential consequences for higher trophic levels like frugivores.
Severe inbreeding depression is predicted by the "rare allele load" in Mimulus guttatus
<p>Most flowering plants are hermaphroditic and experience strong pressures to evolve self‐pollination (automatic selection, reproductive assurance). Inbreeding depression (ID) can oppose selection for selfing, but it remains unclear if ID is typically strong enough to maintain outcrossing. To measure the full cost of sustained inbreeding on fitness, and its genomic basis, we planted highly homozygous, fully genome‐sequenced inbred lines of yellow monkeyflower (<i>Mimulus guttatus)</i> in the field next to outbred plants from crosses between the same lines. The cost of full homozygosity is severe: 65% for survival, 86% for lifetime seed production. Accounting for the unmeasured effect of lethal and sterile mutations, we estimate that the average fitness of fully inbred genotypes is only 3–4% that of outbred competitors. The genome sequence data provides no indication of simple overdominance, but the number of rare alleles carried by a line, especially within rare allele clusters nonrandomly distributed across the genome, is a significant negative predictor of fitness measurements. These findings are consistent with a deleterious allele model for ID. High variance in rare allele load among lines and the genomic distribution of rare alleles both suggest that migration might be an important source of deleterious alleles to local populations.</p>
Data from: Beta diversity response to stress severity and heterogeneity in sensitive versus tolerant stream diatoms
Aim: Severity and heterogeneity of stress are major constraints of beta diversity, but their relative influence is poorly understood. Here, we addressed this question by examining the patterns of beta diversity in stress-sensitive versus stress-tolerant stream diatoms and their response to local versus regional factors along gradients of stress severity and heterogeneity. Location: The Adirondack region of New York. Methods: Beta diversity was measured as multivariate dispersion of communities across high stress, low stress, and high + low stress (heterogeneous) environments, encompassing 200 stream samples. Null models were implemented to assess community similarity relative to randomly assembled communities and the importance of local assembly processes vs. the regional species pool. Results: The overall beta diversity was influenced by a combination of severity and heterogeneity of stress, while beta diversity of sensitive species increased with heterogeneity. Beta diversity of tolerant species did not vary with either severity or heterogeneity of stress. Heterogeneity decreased community similarity relative to the null expectation in all groups of species. Stress reduced the importance of local assembly mechanisms for the overall beta diversity and sensitive species beta diversity. In contrast, the importance of local assembly mechanisms increased with stress regarding beta diversity of tolerant species. Main Conclusions: Beta diversity responded to both severity and heterogeneity of stress, but turnover along these gradients was mostly driven by sensitive species. The overall beta diversity and beta diversity of sensitive species became more constrained by the depauperate regional species pool, as opposed to local assembly mechanisms. While heterogeneous stress contributed to beta diversity, severe stress suppressed beta diversity through elimination of sensitive species. Therefore, an increase in beta diversity in an environmentally-stressed region may serve as a forewarning for future loss of sensitive species, should the stress continue to intensify.
Dataset of KEMAR-BRIRs measured at several positions and head orientations in a real room
<p>Measurement of BRIRs at 25 positions (1-25) in a reverberant room for two sound sources (A,B). The dummy head is rotated by 360° counterclockwise in 5° steps, respectively, at every position. The measuring points are arranged at a distance of 0.5m in x and y axis, respectively. The sound sources are arranged at a distance of 1.0m from the measuring grid.</p> <p>A whole description of the measurement can be found in:<br> http://opac.lbs-ilmenau.gbv.de/DB=1/SET=1/TTL=2/SHW?FRST=1<br> or contact stephan.werner@tu-ilmenau.de</p> <p>Sketch of the measuring grid:</p> <p> A<br> |<br> |<br> 5 - 4 - 3 - 2 - 1<br> | | | | |<br> 10 - 9 - 8 - 7 - 6<br> | | | | |<br> B - -15 - 14 - 13 - 12 - 11<br> | | | | |<br> 20 - 19 - 18 - 17 - 16<br> | | | | |<br> 25 - 24 - 23 - 22 - 21</p>
Dataset for paper "Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity"
<p>Interpreting the shifts in forest structure, plant community composition, diversity, and functional identity by using remote sensing-derived wildfire severity . New collected data</p>
After the 'Black Summer' fires: faunal responses to megafire depend on fire severity, proportional area burnt, and vegetation type
<ol> <li>Climate change and human activities have disrupted historical fire regimes, leading to complex and far-reaching impacts on global ecosystems. Despite extensive research in fire ecology, studies exploring vertebrate responses to megafires, and to nuanced fire characteristics, remain limited.</li> <li>We collected camera trap data 3–27 months following Australia's 2019–20 'Black Summer' megafires from 30 burnt sites and 10 unburnt sites. Our data included 14 animal species/groups, encompassing mammalian predators, small and medium-sized mammals, large herbivores, and birds. We used generalised additive mixed models to assess the influence of time-since-the-fires, burn status, fire severity, proportional area burnt, and vegetation type on species' activity.</li> <li>Models that included fire variables were well-supported for all species. The proportional cover of low-moderate or high-extreme severity fire had substantial support for five species, particularly herbivores, which generally showed a preference for burnt sites but at differing fire severities. The proportional area burnt, disregarding severity, was well supported for four species. At highly burned sites, fox activity peaked shortly after the fires, while small to medium-sized mammal activity increased more gradually. Vegetation type strongly influenced the response of four species to fire; in particular, wet forest birds preferred unburnt areas.</li> <li> <em>Policy implications</em>. We document variable short- to medium-term responses of a range of species to fire which could help guide management interventions. We demonstrate that animal species' responses to fire are diverse and better captured using broader landscape-scale fire variables. We found that species were strongly influenced by proportional area burnt, fire severity, and vegetation type. Introduced foxes were attracted to recently burnt areas, so timely predator control may benefit vulnerable prey species. Wet forest species were sensitive to fires and could benefit from preservation and restoration of these habitats. Some species exploited low-moderate severity burnt areas, while others preferred high-severity burns. This suggests that species will face diverse challenges and opportunities in future extreme fire events. We emphasise the importance of using multi-faceted approaches to account for the complex responses of co-occurring species to fire events.</li> </ol>
Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment_dataset
<p>As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions.</p><p>Journal of Molecular Medicine https://doi.org/10.1007/s00109-023-02396-3</p>
The effect of climate change on forest fire danger and severity in the Canadian boreal forests for the period 1976-2100
<p>There are 5 files uploaded.</p><p> </p><p>(1) fwi26.txt.gz, RCP26</p><p>(2) fwi45.txt.gz, RCP45</p><p>(3) fwi85.txt.gz, RCP85</p><p>(4) msk20231028.txt</p><p>(5) Shape_Canadian_Boreal_Forests.7z</p><p> </p><p>mask20231028.txt is an ascii file covering the Canadian Boreal Forests.</p><p>This file can be imported into GisMAP to generate a mask raster.</p><p> </p><p>Shape_Canadian_Boreal_Forests.7z is a compressed shape file cover the</p><p>Canadian Boreal Forests.</p><p> </p><p>fwi26.txt.gz, fwi45.txt.gz, and fwi85.txt.gz are the zipped file of FFMC</p><p>and DSR daily surfaces. There are 6 fields in the files:</p><p> </p><p>Field 1: row number in the mask file of mask20231028.txt.</p><p>Field 2: column number.</p><p>Field 3: Years; 1, 2, 3, ... 95 correspoind to 2006, 2007, 2008, ..., 2100.</p><p>Field 4: Days; 1, 2, 3, ..., 365 in a year.</p><p>Field 5: Daily FFMC values.</p><p>Field 6: Daily DSR values. </p>
Beaumont numbers and associated values of several mountain belts on Earth
<p>This file contains the data shown in table 1 in the Article: Tectonics or Surface Processes during orogenesis - the Beaumont number: II. Application to orogens on Earth.</p><p>Variable definitions:<br>NAndes are the Northern Andes, CAndes are the central Andes, EurAlps are the European Alps, Him is Himalaya-Tibet, Pyr are the Pyrenees, SANZ are the Southern Alps of New Zealand, TW is Taiwan, TS is the Tian Shan, Zag is the Zagros. <br>Bm is the Beaumont number (mean value), Kf is the fluvial erodibility (mean value), vc is the convergence or shortening rate (mean value), Fint is the integrated crustal strength of the orogen foreland (mean value), and AvgPrecip is the mean annual precipitation (mean value). BmVar, KfVar, vcVar, and FintVar are the variability of the respective mean values. AvgPrecipSTD is the standard deviation of AvgPrecip.</p>
Genetic variants regulating the immune response improve the prediction of COVID-19 severity provided by clinical variables
<p>Data set generated to evaluate the association between SNPs from genes related to SARS-CoV-2 pathogenesis and their clinical outcome.</p>
Data from: Effect of a severe cold spell on overwintering survival of an invasive forest insect pest
<p>Data from a study of a servere cold event in February 2023 on the survival of hemlock woolly adelgid (<em>Adelges tsugae</em> Annand) from four populations in Canada. Cold temperatures can play a significant role in the range and impact of pest insects. Severe cold events can reduce the size of insect outbreaks or in some cases even cause outbreaks to end. Measuring the precise impact of cold events, however, can be difficult because estimates of insect mortality are often made at the end of the winter season. In late January, 2023 long-term climate models predicted a significant cold event to occur over eastern North America. We used this event to evaluate the immediate impact on hemlock woolly adelgid overwintering mortality at four sites on the northern edge of the insects invaded range in eastern North America. We observed complete mortality, partial mortality and no effect of the cold event that correlated with the location and strength of the cold event. Our data also showed lack of support for preconditioning of overwintering adelgids as impacting their overwintering survival following this severe cold event. Finally, we compared the climatic conditions at our sites to historical weather data. The cold event observed in February 2023 resulted in the coldest temperatures observed at these sites, including the period within which hemlock woolly adelgid invaded these sites, suggesting cold conditions, especially under anthropogenic climate forcing, may not be a limiting factor in determining the ultimate northern range of hemlock woolly adelgid in eastern North America.</p>
Voxel-wise maps for the paper: Longitudinal associations of magnetic susceptibility with clinical severity in Parkinson's disease
<p>This upload contains voxel-wise group level QSM data, and statistical maps for group level results associated with the paper: Longitudinal associations of magnetic susceptibility with clinical severity in Parkinson's disease.</p> <p>The assocaited code for reproducing these statistical maps can be found here: <a href="https://github.com/gecthomas/QSM_PD_longitudinal">gecthomas/QSM_PD_longitudinal (github.com)</a></p>
ScienceDex guides
Understand access before you commit
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.