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3,139 results for “fits”
Global responses of plant abundance, diversity, and fitness to increased fire severity or frequency
<p>Database of responses of plant abundance, diversity, and fitness to increased fire frequency or severity, collected from published scientific articles or reports. The database includes 394 studies published worldwide between 1962 and 2023. Information on the following variables are also provided: fire regime component (fire frequency or severity), time since the last fire, fire type (wildfire or prescribed fire), historical fire regime type (surface or crown fire), plant life form (woody plant, herb, or bryophyte), habitat type, and climate. The database underpins the meta-analysis 'Global plant responses to intensified fire regimes', published in Global Ecology and Biogeography.</p>
Fitness effects of symbiotic relationships among arthropod predators
<p>Symbiotic relationships shape ecological communities and often involve more than two species. Yet few experimental studies examine the impact of symbioses involving three species, particularly any mediating role of third parties, and none involving symbioses of predators.</p> <p>We investigated experimentally the synergistic and antagonistic fitness effects of three symbiotic spider predators across a broad latitudinal range and involving different species combinations.</p> <p>The three-dimensional web-complex of <em>Cyrtophora</em> spiders is a habitat patch to different associates – species of <em>Argyrodes</em> and web-building <em>Leucauge</em> spider guests. Our field experiments, which manipulated the presence of each guest species and determined the subsequent host weight change, revealed a remarkable consistency in fitness outcomes across the three populations, with the consequences of the interactions between two species depending upon the services provided by a third.</p> <p><em>Cyrtophora</em> hosts intercepted more prey when web-building <em>Leucauge</em> guests were present and thus gained more weight. In contrast, <em>Argyrodes</em> guests exerted a fitness cost on their <em>Cyrtophora</em> host, but only when <em>Leucauge</em> guests were absent. A comparison of the prey consumed by <em>Cyrtophora</em> hosts and <em>Argyrodes</em> guests revealed that their diets (reflected in the size of prey) overlapped less in the presence of <em>Leucauge</em> web-building guests.</p> <p>Our novel experimental study highlights the importance of exploring synergistic effects in multi-species symbioses.</p>
DMM fits for SI figure 2
<p>Input file to replicate construction of supplemental figure 2. Results of a DMM fit to a 16S microbiome collection derived from pulmonary sputum samples collected by pwCF. </p>
Supplemental code and data for Hernandez et al. "Maternal effect senescence and caloric restriction interact to affect fitness through changes in life history timing"
<p>This dataset enables the user to repeat the analyses presented in the manuscript "Maternal effect senescence and caloric restriction interact to affect fitness through changes in life history timing." It is comprised of two compressed archives: one which contains code, and one which contains data.</p>
Interactions between phenanthrene exposure and historical chemical stress: Implications for fitness and ecological resilience of the sentinel species Daphnia magna
<div> <p>Polycyclic aromatic hydrocarbons (PAHs) arise from incomplete combustion of oil, coal, and gasoline, with lipophilic properties facilitating their widespread distribution and persistence. Due to their biochemical attributes, PAHs can accumulate in animal tissues, potentially causing mutagenic and carcinogenic effects. Since the industrial revolution, PAH concentrations in the environment have risen, with some areas showing levels from 0.159 to 33,090 µg/kg sediment. Despite acute toxicity studies showing adverse effects on freshwater organisms, the long-term impacts and synergistic interactions with other pollutants remain largely unexplored. </p> </div> <div> <p>This study investigates the impact of phenanthrene (PHE), a prominent PAH found in aquatic environments, on <em>Daphnia magna</em>, a species of significant ecological importance in freshwater ecosystems globally, being both a sentinel species for chemical pollution and a keystone organism in freshwater aquatic ecosystems. Leveraging the dormancy of <em>D. magna</em>, which spans decades or even centuries, we exposed strains with diverse histories of chemical contaminant exposure to environmentally relevant concentrations of PHE. Initially, acute exposure experiments were conducted in accordance with OECD guidelines across 16 <em>Daphnia</em> strains, revealing substantial variation in acute toxic responses, with strains naïve to chemical pollutants showing the lowest toxicity. Utilizing the median effect concentration EC10 derived from acute exposures, we assessed the impacts of chronic PHE exposure on the life history traits and ecological endpoints of the 16 strains. To elucidate how historical exposure to other environmental stressors may modulate the toxicity of PHE, temporal populations of <em>D. magna</em> resurrected from a lake with a well-documented century-spanning history of environmental impact were utilized. Our findings demonstrate that PHE exposure induces developmental failure, delays sexual maturation, and reduces adult size in <em>Daphnia</em>. Populations of <em>Daphnia</em> historically exposed to chemical stress exhibited significantly greater fitness impacts compared to naïve populations. This study provides crucial insights into the augmented effects of PAHs interacting with other environmental stressors. </p> </div>
Code&Data_'Choosing fit-for-purpose biodiversity impact indicators for agriculture in the Brazilian Cerrado ecoregion'
<p>File "R_Scripts_biodiversity_indicators.zip" includes codes for calculating the biodiversity impact on the terrestrial vertebrates of the Cerrado biome using the countryside Species Area Relationship (cSAR), the Species Threat Abatement and Restoration (STAR) metric and the Species Habitat Index (SHI).</p> <p>File "results_biodiversity_indicators.zip" includes the result tables of the calculations done with the above mentioned codes. </p>
Data for "Identifying and Fitting Eclipse Maps of Exoplanets with Cross-Validation" (Hammond et al. 2024)
<p>This archive contains the data and scripts needed to reproduce the analysis in "Identifying and Fitting Eclipse Maps of Exoplanets with Cross-Validation" (Hammond et al. 2024).</p> <p>Contents</p> <p>data/: Input data and posterior distributions of different model fits</p> <p>datasets/: Observational datasets</p> <p>figures/: Folder to save figures in</p> <p>fluxes/: Saved lightcurves for auxiliary plotting purposes</p> <p>archive_paper_plotter.ipynb: Example script to plot fitted eclipse maps</p> <p>eclipse_pixel_sampling.py: Script to fit eclipse map and test k-fold CV score</p> <p>paper_eclipse_suite.py: Script to use simulated or observational data to fit an eclipse map</p>
Innovative 3D Cone Point Cloud Fitting via Landweber Iteration
<p>Cone surface fitting is essential in various fields, including computer graphics, computer vision, and robotics. However, factors such as noise, initial parameter selection, and the varying distribution of point clouds can significantly impact fitting accuracy and stability. To address these challenges, we propose a novel optimization method based on Landweber iteration. This method solves an objective function that includes the cone vertex. Initially, Landweber iteration is used to calculate high-precision initial values for the conical surface by leveraging all point cloud data. Subsequently, the RANSAC algorithm filters the point cloud data based on these initial values, eliminating points that do not meet the distance threshold. Finally, an error equation is formulated, and the cone surface parameters are further refined using an optimization algorithm based on Landweber iteration. Simulation experiments validate the feasibility and robustness of our approach, demonstrating superior accuracy and stability in 3D cone surface fitting.</p>
Long-term data reveal fitness costs of anthropogenic prey depletion for a subordinate competitor, the African wild dog (Lycaon pictus
<p>Within carnivore guilds, dominant competitors (e.g., lions, <em>Panthera leo</em>) are limited primarily by the density of prey, while subordinate competitors (e.g., African wild dogs, <em>Lycaon pictus</em>) have been limited by the density of dominant competitors. Historically, the fitness and population density of subordinate competitors have not been tightly linked to prey density. However, populations of large herbivores have declined substantially across sub-Saharan Africa due to human impacts, and where prey depletion is severe, fitness costs for competitive subordinates may begin to outweigh the benefits of competitive release. Using long-term intensive monitoring of African wild dogs in Zambia's Luangwa Valley Ecosystem (LVE), we tested the effects of prey depletion on survival and reproduction. Our study area included four contiguous regions that varied in protection, prey density, and lion density. We fit Bayesian Cormack-Jolly-Seber and closed-capture models to estimate effects on survival and population density, and generalized linear models to estimate effects on reproductive success. We found that the LVE is a stronghold for wild dogs, with an estimated median density of 4.0 individuals/100 km<sup>2</sup>. Despite this high density, survival and reproduction differed among regions, and both components of fitness were substantially reduced in the region with the lowest prey density. Anthropogenic prey depletion is becoming an important limiting factor for African wild dogs. If prey depletion (or any other form of habitat degradation) becomes severe enough that its fitness costs outweigh the benefits of competitive release, such changes can fundamentally alter the balance between limiting factors for competitively subordinate species.</p>
Rewarding Fitness Tracking – The Communication and Promotion of Health Insurers' Bonus Programs and the Use of Self-Tracking Data
<p>The data set offers additional information for the study on "Rewarding Fitness Tracking – The Communication and Promotion of Health Insurers’ Bonus Programs and the Usage of Self-Monitored Data", to be submitted at HCII 2018.</p> <p>The data set includes the full lists of German and Australian Health Insurers investigated, including a link to their apps.</p> <p>This study aims at giving an overview on the current status quo of health insurances that investigate self-tracking opportunities and possible rewards for customers that share their fitness and health activities. We are interested in how insurers promote their health and well-being programs (intended program goals) and motivate customers to live healthier (incentives). We introduce research in progress while firstly focusing on the countries Germany and Australia. We discuss the current situation of health insurance clients’ data use, data security issues as well as long-term health benefits regarding those programs based on recent research on self-tracking activities. The research questions are: </p> <ol> <li>Which health insurers offer options for client to self-track health and fitness data?</li> <li>How do insurers communicate about the programs?</li> <li>How do those insurers communicate about data security?</li> </ol>
Northern shoveler data for "Sensitivity of binomial N-mixture models to overdispersion: the importance of assessing model fit"
<p>Repeated count data for Northern shoveler analyzed in Knape et al. Sensitivity of binomial N-mixture models to overdispersion: the importance of assessing model fit", Methods in Ecology and Evolution.</p> <p>count.csv contains Northern shoveler counts repeated 10 times at 50 sites in a 50 x 10 matrix. Each row corresponds to a specific site and columns correspond to visits.</p> <p>date.csv is a 50 x 10 matrix containing the julian date of each count, using the same ordering of visits (columns) and sites (rows) as in count.csv.</p> <p>site.csv contains covariates for each of the 50 sites. Sites (rows) are ordered in the same way as in count.csv and date.csv. The first column represents the area of water (ha) covered by the wetlands where the counts were conducted, the second columns is the percentage of the wetland area covered by reeds, and the third column is the latitude of the wetland in RT90 coordinates.</p> <p> </p> <p> </p>
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
Best fit Orphan stream model in the presence of the LMC
<p>We give the best fit stream model and orbit for Orphan in the presence of the LMC from the work of Erkal et al. 2019 (<a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.2685E">https://ui.adsabs.harvard.edu/abs/2019MNRAS.487.2685E</a>). As described in section 4 of that work, this best fit was achieved in a prolate Milky Way halo which responds to the LMC. See the table in the appendix of that work (A1) for the parameters used in the fit.</p> <p>The file containing the orbit (orphan_orbit.txt) gives the position of the Orphan progenitor, LMC, and Milky Way for the past 5 Gyr. The coordinates are Galactocentric in a right-handed system (i..e the Sun is at (-8.1,0,0) kpc and predominantly moving in the positive y direction). </p> <p>The file containing the stream (orphan_stream.txt) gives the position of the Orphan stream particles in Galactocentric coordinates as well as observables (ra,dec,distance,vr,pmra,pmdec) assuming the Sun is at (-8.1,0,0) kpc and moving with a velocity of (11.1,245,7.3) km/s. The stream is generated using the Lagrange point stripping technique as described in the paper. </p> <p>Please cite Erkal et al. 2019 if you make use of this simulation.</p>
Multi-rate parameter fitting
<p>This dataset shows parameter fitting for multi-rate transport in porous media. The file names indicate the geostatistical input used, as follows: a_bb_cc has fim=10*a, ah=bb and av=cc. This is explained further in the related article "Regressed models for multi-rate mass transfer in heterogeneous media" by Maria T. Elenius and Linda M. Abriola, submitted to Water Resources Research. In the article, this dataset forms the basis of performed regressions.</p>
Figure 1 in Using body condition index can be an unreliable indicator of fitness: a case of sand lizard Lacerta agilis Linnaeus, 1758 (Sauria: Lacertidae)
Figure 1. Correlation between lizards' body length and body mass in the 3 age groups.
Fig. 1 in Fitness cost in field Anopheles labranchiae populations associated with resistance to the insecticide deltamethrin
Fig. 1. Geographic origin of Tunisian populations of Anopheles labranchiae.
LUH GRACE(-FO) K-band range-rate post-fit residuals
<p>This dataset contains GRACE (Gravity Recovery and Climate Experiment) and GRACE Follow-On K-band range-rate post-fit residuals obtained as part of the gravity field recovery at LUH (Leibniz University Hannover). Data covers the period: 2002/04 - 2023/09.</p>
Fitting Room dataset
<p>A dataset of photos taken in fitting rooms consisting of 100 public images of people standing in front of mirrors or in similar poses, sourced from public websites. The dataset is evenly split between male and female subjects (50 images each), primarily featuring full-body photos that focus on the clothing worn. Each photo includes between two to six clothing items, with a variety of styles represented, though casual attire like t-shirts, jeans, and sneakers are the most common.</p> <p>The dataset contains a total of 178 men's clothing items and 157 women's clothing items. To test models effectively, the dataset includes images with a wide range of resolutions, both standard and non-standard, as well as varying levels of background complexity. Background complexity is measured by the number of identifiable clothing pieces or other items present in the picture that are not worn by the person. This dataset is intended to evaluate model performance across different metrics.</p>
Fitted Parameters of Power Transformation for rainfall in Brazil
<h1>Power Transformation: Correcting bias in MIROC6 rainfall</h1> <p>The Climate System Monitoring and Modeling Laboratory (LAMMOC), part of Fluminense Federal University (UFF) has tried forecasting rainfall over Brazil using one of the most known process-based models: MIROC6.</p> <p>Unlike other regions of Earch, MIROC6 resulted in unacceptable bias, leading the team to explore bias correction methods that best suit this specific use case.</p> <p>Power Transformation (PT) was suggested as it was used in different research papers.</p> <p>The first netCDF file (PT_all_grid.nc) hosts parameters of PT after fitting it to rainfall data for the period 1961 - 2014.</p> <p>Those parameters were used to correct MIROC6 forcasted rainfall over the period 2015-2100 for each of the main Shared Socio-economic Pathways (SSP).</p> <p>Both raw and corrected rainfall data can be extracted via ssp_corr_245.nc, ssp_corr_370.nc and ssp_corr_585.nc for each of ssp2-4.5, ssp3-7.0 and ssp5-8.5 respectively.</p> <p>Observed Rainfall data was obtained from https://doi.org/10.1002/joc.7731.</p> <p>Raw MIROC6 data was generated within the LAMMOC lab.</p> <p>The associated GitHub repository hosts a usage guideline as well as relevant information.</p>
Model Fit Figures for: The 100 pc White Dwarf Sample in the SDSS Footprint II. A New Look at the Spectral Evolution of White Dwarfs
<p>Figures for the model atmosphere fits to the spectroscopically confirmed white dwarfs in the 100 pc sample and the SDSS footprint (<span>arXiv:2412.04611). </span></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.