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4,276 results for “Estimation”
Axial diffusion of respired CO2 confounds stem respiration estimates during the dormant season
<p>Efflux-based estimates of stem respiration in oak trees during the dormant season were biased by axial diffusion of locally respired CO<sub>2</sub>. Light-induced axial CO<sub>2 </sub>diffusion along the stem due to woody tissue photosynthesis may lead to equivocal estimates of stem respiratory coefficients during the dormant season, which are generally used to estimate maintenance respiration throughout the year.</p>
Estimations of Sensor Misorientation for Broadband Seismic Stations in and around Africa
<p>To ensure the accuracy of future rotation-based seismological studies using data recorded by broadband seismic stations in Africa and environs, we investigate the sensor orientation of 1075 stations belonging to 41 seismic networks deployed in and around the African continent in the past three decades. We applied three independent waveform-based orientation estimation methods that involve the measurement of P-wave particle motion based on the principal component analysis, minimizing the P-wave energy on the transverse component of motion, and measuring intermediate-period Rayleigh-wave arrival angles from teleseismic earthquakes. This dataset is the compilation of the entire result of this study.</p>
Supplemental material to the paper: Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method
<p>This repository contains the meterials used to study numerically the effect of model uncertainties in the seismic assessment of a case-study stone masonry building. The simulations were run in the research version of the software <a href="http://www.tremuri.com/">Tremuri</a>. The repository contains input files, model results and the matlab code to reproduce the figures presented in the paper:</p> <blockquote> <p>Vanin F., Beyer K., "Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method", submitted for publication (2019)</p> </blockquote>
Global nitrous oxide fluxes estimated using atmospheric inversions
<p>Nitrous oxide emissions are presented from three independent atmospheric inversion frameworks. The frameworks are: 1) INVICAT: an inversion using the atmospheric transport model, TOMCAT and a 4D-Var optimisation method; 2) JAMSTEC: an inversion using the MIROC4-ACTM atmospheric transport model and a Bayesian analytical optimisation method; and 3) PYVAR: an inversion using the LMDZ5 atmospheric transport model and a 4D-var optimisation method. The emissions were optimised monthly and have been re-gridded from the model native resolution to 1.0 by 1.0 degrees. The files for TOMCAT and LMDZ5 (i.e. the inversion frameworks INVICAT and PYVAR, respectively) contain two flux variables: 1) the prior fluxes as estimated a priori, and 2) the posterior fluxes as estimated by the inversion. The file for the JAMSTEC inversion, contains five flux variables: 1) flux_apri_land: the prior fluxes over land, 2) flux_apri_ocean: the prior fluxes over ocean, 3) flux_apri_fossil: the prior estimate of emissions from combustion, 4) flux_apos_land: posterior fluxes over land estimated by the inversion, and 5) flux_apos_ocean: the posterior fluxes over ocean estimated by the inversion. Note that flux_apri_fossil was not optimised in the inversion but for the total posterior N<sub>2</sub>O emission, needs to be added to the flux_apos_ocean and flux_apos_land variables.</p>
Description of the HealthyMinorCereals oat (Avena sativa L.) diversity panel and best linear unbiased estimators (BLUEs) of agro-morphological traits
<p>Best linear unbiased estimators (BLUEs) of various agro-morphological traits of oat (Avena sativa) germplasm evaluated in Estonia and the Czech Republic between 2014 and 2019 (9 environments in total) within the FP7 HealthyMinorCereals project.</p>
Figure 4. Phylogeny constructed through Bayesian inference estimated from the 35H in Gene Flow Patterns of the Aedes aegypti (Diptera: Culicidae) Mosquito in Colombia: a Continental Comparison Suggests Multiple Invasion Routes and Gene Exchange
Figure 4. Phylogeny constructed through Bayesian inference estimated from the 35H found of the ND4 gene for the A. aegypti populations in the American continent. The blue horizontal bars above the branches reflect the 95% CI for the branch supports. The color bars (blue, green, and red) on the tree terminals indicate which haplotypes are exclusive for a specific population. The dotted lines on the right side of the tree and numbers I or II indicate to what clade each of the terminals belong. H1-Col (Colombia (Sucre and Quindio), Venezuela, Peru, M-NA, Brasil (MA-O, RBPV, SEBr, BE-L)), H4 (Venezuela, M-NA, Brasil (MA-O, RBPV, BEL)), H3 (Venezuela, M-NA, Brazil (RBPV, SEBr, BE-L)), H2-Col (Colombia (Sucre), Venezuela, Peru, M-NA, Brazil (RBPV, SEBr, BE-L)), H13 (M-NA, Brazil (SEBr)), H8 (Venezuela, Brazil (SEBr)).
Fig. 17 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 17. Lineage-Through-Time (LTT) plot of Neotropical Gracillariidae. LTT was plotted using 1000 trees from the COI dataset analyses. The number of lineages (y axis) is plotted against time (x axis) in such way that each increase on the number of lineages represents a cladogenesis (a node) in one of the 1000 phylogenetic trees. 2. Dashed red and blue lines represent 95%-confidence intervals for time of starting diversification and LLT plot, respectively.
Fig. 16 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 16. Predictive future cumulative species description curve for the Gracillariidae in the Neotropical region, based on the Logistic model.
Fig. 14 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 14. Variation in number of articles regarding original descriptions on Neotropical gracillariids that were based on adults but that included also data either on gross morphology of immature stages or DNA sequences.
Fig. 13 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 13. Variation in number of type specimens available among museum collections for Neotropical gracillarids. Numbers above bars represent percentages in relation to total number of species (n = 175). See Tab S3 for description of museum acronyms.
Fig. 12 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 12. Relative representation of type specimens for gracillariid species in the Neotropical region. Numbers above bars represent percentages in relation to total number of extant species (n = 175).
Fig. 9 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Fig. 9. Diversity of extant gracillariid species (Arabic numbers) in the Neotropics, according to biogeographical regionalization proposed by Morrone (2014). Asterisks indicate areas not contemplated in his restricted definition of the Neotropical region (see text for further description).
Figs. 1–8 in Extant diversity and estimated number of Gracillariidae (Lepidoptera) species yet to be discovered in the Neotropical region
Figs. 1–8. Leaf mines (left) and adults (right) from putative species of Neotropical gracillariids: (1, 2) Spinivalva gaucha Moreira & Vargas (Gracillariinae) on Passiflora actinia Hook (Passifloraceae); (3, 4) Porphyrosela minuta Clarke (Lithocolletinae) on Trifolium repens Linnaeus (Fabaceae); (5, 6) Angelabella tecomae Vargas & Parra (Oecophyllembiinae) on Tecoma fulva (Cav.) G. Don (Bignoniaceae); (7, 8) Phyllocnistis sp. (Phyllocnistinae) on Baccharis anomala DC. (Asteraceae). Scale bars = 10, 1, 10, 1, 5, 1, 5, 1 mm, respectively.
Fig. 2 in An estimate of the potential number of mayfly species (Ephemeroptera, Insecta) still to be described in Brazil
Fig. 2. Simple linear regression between the number of ephemeropteran species described based on male/female specimens and the year the description was published.
Fig. 1 in An estimate of the potential number of mayfly species (Ephemeroptera, Insecta) still to be described in Brazil
Fig. 1. Simple linear regression between the number of ephemeropteran species described based on specimens of the nymphs and/or imagoes and the year the description was published.
Fig. 1. Case built from a in Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia
Fig. 1. Case built from a small twig by a Triplectides egleri (Trichoptera: Leptoceridae) larva in a Central Amazonian stream, Brazil. Red line indicates where the width of the case (= extent of the excavated area, at the ventral region) was measured.
Figure 2. A in Estimation of heavy metal residues from the feathers of Falconidae, Accipitridae, and Strigidae in Punjab, Pakistan
Figure 2. A comparison of concentrations (µg/g) of 6 different metals estimated from the feathers of raptors in 3 different regions of Punjab Province. Values expressed as mean ± SE.
Fig. 6. Divergence times estimated from a in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 6. Divergence times estimated from a concatenated data set of per, COX1 and ITS2 sequences for the Lucilia bufornivora species group. Substitution model and relaxed clock models were unlinked for each gene. The tree was calibrated by setting the root to the node age corresponding to the split between Luciilinae and Calliphorinae subfamilies (~19 mya) as estimated by Wallman et al. (2005). Blue bars represent 95% highest posterior density (HPD) of each node age. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB). in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB).
Figure 3 in Sex ratio estimations of Chelonia mydas hatchlings at Samandağ Beach, Turkey
Figure 3. The maximum increase and decrease in two nests' temperatures throughout the incubation duration.
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.