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349 results for “Viability”
Data and code for 'Age truncation due to disease shrinks metapopulation viability for amphibians'
<p>This repository provides all data and R code from the analysis for the following paper:</p> <p>Heard, G.W., Scroggie, M.P., Hollanders, M., and Scheele, B.C. (in press). Age truncation due to disease shrinks metapopulation viability for amphibians. <em>Journal of Applied Ecology</em>. </p> <p>The data are provided as a series of .csv files. A GRD file is provided for the landscape rasters. R code is provided separately for each of the following components:</p> <p>1. A script to complete regression modelling of age structure data for populations of the focal species pre- and post-Bd, plus estimation of adult survival rates from the age structure data using the 'catch curve' approach ('Age_structure_analysis.R').</p> <p>2. A script to generate the sample landscapes used for simulations of metapopulation dynamics for the pre- and post-Bd time periods ('Derive_landscape_rasters.R').</p> <p>3. A script with functions for simulating metapopulation dynamics with the aid of the STEPS R package ('STEPS_model.R').</p> <p>4. A script to run the metapopulation simulations across all the demographic and connectivity scenarios, where connectivity scenarios are defined by the sample landscapes ('Run_STEPS_simulations.R'). </p> <p>5. A script to fit logistic regression models to the outcomes of the metapopulation simulations (extinction versus persistence) ('Metapop_sims_analysis_GLM.R').</p> <p>6. A script to fit multivariate normal hypervolumes to the outcomes of the metapopulation simulations (extinction versus persistence) ('Metapop_sims_analysis_MVNH.R').</p> <p>7. A script to generate each of the figures in the manuscript, plus Table 2 which requires post-hoc data compilation ('Generate_figures.R'). </p> <p>In combination, the data files and scripts allow all analyses from the paper to be reproduced. </p>
Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation
<p>This data archive provides simulated hourly heating and cooling building energy demand for current and future RCP85 climate for 8 representative cities for a single-family and small office building archetype.</p> <p>The data forms part of the following publication:</p> <p><em>Eggimann S.; Fiorentini M. (2024): Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2024.114348</em></p> <p><strong>Attributes</strong></p> <ul> <li>ID_origin: City ID of source city</li> <li>ID_destination: City ID of target city</li> <li>Signature_Cooling: Cooling demand determined by the signature approach</li> <li>Model_Cooling: Cooling demand determined by EnergyPlus</li> <li>Absolute_Diff: Absolute difference</li> <li>Percentage_Diff: Relative difference</li> <li>Daily_Tout: Average daily dry-bulb ambient temperature</li> </ul> <p><strong>Instruction</strong></p> <p>To obtain the simulation and energy signature-based results, it is required to filter the dataset and set the source ID to the destination ID. The city IDs are provided in the file city_table_ID.</p> <p><strong>Source</strong></p> <p>The archetypes are provided by the Office of Energy Efficiency & Renewable Energy: https://www.energycodes.gov/prototype-building-models</p>
Metabolomics data associated with "Glial swip-10 controls systemic mitochondrial function, oxidative stress, and neuronal viability via copper ion homeostasis"
<p>Raw feature tables used for metabolomic analysis of the <em>Caenorhabditis elegans</em> mutant <em>swip-10</em>. The data were generated using liquid chromatography coupled high-resolution mass spectrometry. Two different columns were used: HILIC (+ ESI) and C18 (-ESI), coupled to a Thermo Q-Exactive Orbitrap mass spectrometer. The feature tables were generated using open-source peak peaking and alignment R packages: apLCMS and xMAanalyzer. See more details in the associated manuscript.</p>
DS4_LH_ Lodola et al_Sci Adv_2019_Cell Viability
<p>Cell Viability and tubulogenesis assays in dark and light conditions. </p>
DS4_LH_Tullii et al._ACS Appl. Mater. Interfaces_2019_cell viability
<p>cell viability assay on HEK cells and neurons plated on P3HT flat and pillars</p>
Silver Nanoparticles Alter Cell Viability Ex Vivo and in Vitro and Induce Proinflammatory Effects in Human Lung Fibroblasts
<p>Dataset for data generated and presented in following article by Löfdahl et al in Nanomaterials 2020, 10, 1868. doi:10.3390/nano10091868</p>
Fig. 1 in Population viability analysis of the population of Raffles' banded langurs Presbytis femoralis in Singapore
Fig. 1. Top left: baseline scenario shown with threat and management scenarios found to markedly impact upon population growth, run for 500 iterations over a 50-year period and showing the mean number of extant individuals for each. Top right: a retrospective analysis using parameters from the baseline scenario with estimates of 40 individuals in 2010 to predict the current population in 2021. Bottom right: a retrospective analysis using parameters from the baseline scenario with estimates of 10–14 individuals in 1990 to predict the current population in 2021. Bottom left: The Raffles' banded langur. Photos: Sabrina Jabbar.
Images supporting: Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation
<p>Two image datasets (as zip files) including all images analyzed in the manuscript Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation. Images are of pancreatic adenocarcinoma (PDAC) cystic spheroid samples grown in either BME or Matrigel. Some images have background noise in the form of iron oxide nanoparticles introduced to them.</p>
Figure 2. Macrobrachium tenellum adult male who underwent a second spermatophore extraction using the electrostimulation technique. A in Sperm viability in wild-caught males of Macrobrachium tenellum (Smith, 1871) (Decapoda: Caridea: Palaemonidae) fed with different diets
Figure 2. Macrobrachium tenellum adult male who underwent a second spermatophore extraction using the electrostimulation technique. A= The dark brown, melanized spermatophore is different from that observed in healthy males.
Figure 1 in Sperm viability in wild-caught males of Macrobrachium tenellum (Smith, 1871) (Decapoda: Caridea: Palaemonidae) fed with different diets
Figure 1. Relationship between (A) body weight and spermatophore weight, (B) sperm cell number and spermatophore weight, (C) spermatophore weight and body length, (D) sperm cell number and body weight, and (E) sperm cell number and body length of wild Macrobrachium tenellum, analyzed after collection.
Fig. 4 in The Viability of Haemonchus Contortus (Nematoda, Strongylida) and Strongyloides Papillosus (Nematoda, Rhabditida) Larvae Exposed to Various Flavourings and Source Materials Used in Food Production
Fig. 4. The effect of alcohol flavourings and their compounds on the viability of larvae of nematodes of Ruminantia: а — β-Ionone, b — Citronellol, с — Acetoin; for explanations see fig. 1.
Fig. 2 in The Viability of Haemonchus Contortus (Nematoda, Strongylida) and Strongyloides Papillosus (Nematoda, Rhabditida) Larvae Exposed to Various Flavourings and Source Materials Used in Food Production
Fig. 2. The effect of acetate flavourings upon the viability of larvae of nematodes of Ruminantia: а — Ethyl acetate, b — Benzyl acetate; for explanations see fig. 1.
Fig. 3 in The Viability of Haemonchus Contortus (Nematoda, Strongylida) and Strongyloides Papillosus (Nematoda, Rhabditida) Larvae Exposed to Various Flavourings and Source Materials Used in Food Production
Fig. 3. The effect of alcohol flavourings and their compounds on the viability of larvae of nematodes of Ruminantia: а — α-Terpineol, b — Benzyl alcohol, с — Citral, d — L-Linalool; for explanations see fig. 1.
Fig. 1 in The Viability of Haemonchus Contortus (Nematoda, Strongylida) and Strongyloides Papillosus (Nematoda, Rhabditida) Larvae Exposed to Various Flavourings and Source Materials Used in Food Production
Fig. 1. The effect of aldehyde flavourings on the viability of larvae of nematodes of Ruminantia: а — p-Anisaldehyde; b — Benzaldehyde; с — γ-Undecalactone; d — Cinnamaldehyde; the ordinate axis indicates the percentage of living nematode larvae in 24-hour experiment; the abscissa axis indicates the concentration of the active substance (%); (К) control, where the concentration of the active substance is 0 %; (L3) infective larvae of S. papillosusor H. contortus; (L1, L2) non-infective larvae of S. papillosus; small square in the centre corresponds to the median, lower and upper edge of the large rectangle corresponds to first and third quartiles, respectively, the vertical segments, directed upward and downward from the rectangles, correspond to minimum and maximum values (n = 8).
Fig. 5 in The Viability of Haemonchus Contortus (Nematoda, Strongylida) and Strongyloides Papillosus (Nematoda, Rhabditida) Larvae Exposed to Various Flavourings and Source Materials Used in Food Production
Fig. 5. The effect of D-limonene on the viability of larvae of nematodes of Ruminantia: for explanations see fig. 1.
Data and R-scripts from: Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions
<p>This contains data and R-scripts used in: </p> <ul> <li>Bård-Jørgen Bårdsen and Jan Ove Bustnes (2022). Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology.</li> </ul> <p>This study assessed the population viability of a population of the lesser black-backed gull (<em>Larus fuscus fuscus</em>) using data collected during 2005-2020 from a nature reserve in Northern Norway. The study merged results from statistical analyses of empirical data with a Leslie model. Here, we provide the underlying data, and the R-scripts used to analyse the data and run the model. The data set include information about reproduction at several stages (laying, hatching and fledgling), nest predation, and individual capture histories (used to estimate apparent survival; see <a href="https://doi.org/10.1111/jav.02953">Bårdsen and Bustnes 2022</a>).</p>
Data: Applying stochastic and Bayesian integral projection modeling to amphibian population viability analysis
<p>Integral projection models (IPMs) can estimate the population dynamics of species for which both discrete life stages and continuous variables influence demographic rates. Stochastic IPMs for imperiled species, in turn, can facilitate population viability analyses (PVAs) to guide conservation decision-making. Biphasic amphibians are globally distributed, often highly imperiled, and ecologically well-suited to the IPM approach. Herein, we present the first stochastic size- and stage-structured IPM for a biphasic amphibian, the U.S. federally threatened California tiger salamander (<em>Ambystoma</em> <em>californiense</em>; CTS). This Bayesian model reveals that CTS population dynamics show the greatest elasticity to changes in juvenile and metamorph growth and that populations are likely to experience rapid growth at low density. We integrated this IPM with climatic drivers of CTS demography to develop a PVA and examined CTS extinction risk under the primary threats of habitat loss and climate change. The PVA indicates that long-term viability is possible with surprisingly high (20–50%) terrestrial mortality, but simultaneously identified likely minimum terrestrial buffer requirements of 600–1000 m while accounting for numerous parameter uncertainties through the Bayesian framework. These analyses underscore the value of stochastic and Bayesian IPMs for understanding both climate-dependent taxa and those with cryptic life histories (e.g., biphasic amphibians) in service of ecological discovery and biodiversity conservation. In addition to providing guidance for CTS recovery, the contributed IPM and PVA supply a framework for applying these tools to investigations of ecologically-similar species.</p>
Рис. 8. Изменение жизнеспособности цист Heterodera glycines на протяжении сезона размножения Fig. 8. Changes in the viability of Heterodera glycines cysts during the breeding season in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 8. Изменение жизнеспособности цист Heterodera glycines на протяжении сезона размножения Fig. 8. Changes in the viability of Heterodera glycines cysts during the breeding season
Figure 4 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 4. Mean (± SE) count of new shoots for macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 1 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 1. Median degradation score depicting visual biodegradation stages and/or resumption of growth for four different species of macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Bars signify minimum and maximum scores attained. The dashed line highlights a score of 5, which indicates no meaningful deterioration of the plant tissues or resumption of growth has occurred. Scores of 0–4 portray incremental levels of degradation, while noting the presence of sustained viability. Scores of 6–10 denote plant tissue degradation stages that lack viability in relation to the resumption of new growth. See Table 3 for description of the score categories. Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.