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FIGURE 2 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 2. Example of a shell sample (Platystrophia ponderosa) sectioning through the plane of symmetry, producing two identical halves. Both halves were analyzed for their spiral deviations.

FIGURE 4 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 4. Spiral deviations from the dorsal and ventral valves of specimens one (1), two (2), and three (3) of the species Laqueus rubellus.

FIGURE 1 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 1. Ventral, dorsal, posterior, and longitudinal-sectional views of the fossil brachiopods Laqueus rubellus, Terebratula terebratula, Pseudoatrypa sp., and Platystrophia ponderosa. Scale bars equal 1 cm.

FIGURE 9 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 9. Comparison of spiral deviation graphs when the dorsal valve of Terebratula terebratula specimen is fit to one (left) and two (right) spirals. A and B represent locations on the graphs that change drastically when two spirals are fit to the biological outline instead of one. Minimum A becomes more distinct when two spirals are used whereas the opposite occurs for minimum B.

FIGURE 3 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 3. Example of shell (Laqueus rubellus) digitization and spiral fitting. 1, The brachiopod shell was digitized by clicking the outline in an anterior-ward direction, starting at the umbo. 2, The digitized outline was saved as (x,y) coordinates, which were used to plot a biological outline in R. 3, R code was used to fit a perfect logarithmic spiral to the shell outline. 4, The deviations from a perfect spiral were represented in a spiral deviation graph, with green points representing spiral maxima and red points representing spiral minima.

opencc-by-4.0Oct 2021View details →

Data and Code: Origin of the Stokes-Einstein Deviation in Liquid Al-Si

The repository contains the data and code used in our work on "Origin of the Stokes-Einstein Deviation in Liquid Al-Si".

dryad40/100

Stable species and interactions in plant-pollinator networks deviate from core position in fragmented habitats

Open the record for dataset details and reuse information.

publicMay 2022View details →

dryad36/100

How small deviations in kinematics and body form dictate muscle performances in the finely tuned avian downstroke

Avian takeoff requires peak pectoralis muscle power to generate sufficient aerodynamic force during the downstroke. Subsequently the much smaller supracoracoideus recovers the wing during the upstroke. How the pectoralis work loop is tuned to power flight is unclear. We integrate wingbeat-resolved muscle, kinematic and aerodynamic recordings in vivo with a new mathematical model to disentangle how the pectoralis muscle overcomes wing inertia and generates aerodynamic force during takeoff in doves. Doves reduce the incidence of their wing mid-downstroke to efficiently generate aerodynamic force, resulting in an aerodynamic power dip, that allows transferring excess pectoralis power into tensioning the supracoracoideus tendon to assist the upstroke—improving the pectoralis work loop efficiency simultaneously. Integrating extant bird data, our model shows how the pectoralis of birds with faster wingtip speed need to generate proportionally more power. Finally, birds with disproportionally larger wing inertia need to activate the pectoralis earlier to tune their downstroke.

opencc-zeroSep 2023View details →

opencc-by-4.0Oct 2021View details →

Data for "Measurement report: Comparison of airborne in-situ measured, lidar-based, and modeled aerosol optical properties in the Central European background – identifying sources of deviations"

A unique set of data is presented, derived from measurements conducted at the rural central European observatory at Melpitz, Germany. Data derived from remote sensing (lidar), airborne platforms (helicopter, balloon), and ground-based in-situ methods is included. Measured and Mie-modeled optical aerosol parameters are presented in the dry- and ambient state. Modeled optical parameters are based on Mie-theory. For ambient state hygroscopic growth simulations are utilized.

opencc-by-4.0Nov 2021View details →

Numerical simulation of groundwater flow in backfilled open-pits for BDZ deviation performance

This dataset contains simulated groundwater flow entering multiple backfilled open-pits with mine wastes (flowrate results) and some Python script to visualize the data. The objective was to predict the blast damage zone (BDZ) created by mine excavation on the flowrate through the backfilled wastes. Flowrates were obtained by 3D numerical simulation using PFLOTRAN finite volume code (www.pflotran.org). Conceptual model of the BDZ and equivalent permeability was derived from Rousseau and Pabst (in press) and Mourzencko et al. (2012) (see https://hal.archives-ouvertes.fr/hal-01196684/file/mourzenko2012.pdf). Number of cases simulated: 40500, with 40496 converged numerical simulations. Calculated were performed using the High Performance Computing Ressource of Calcul Quebec (www.calculquebec.ca/) and Compute Canada (www.computecanada.ca/)

opencc-by-4.0Nov 2021View details →

Supplementary data to "Geometric morphometrics of bilateral asymmetry in Eunotia bilunaris (Eunotiales, Bacillariophyceae) as a tool for the quantitative assessment of teratogenic deviations in frustule shapes"

The supplementary data consist of the files "data.txt" and "R_script.odt" including the landmark coordinates and the R script used for the analyses described in the paper submitted to Symmetry.

dryad36/100

A gas-only bioreactor system maintains stable culture environments and reveals that moderate pH deviations trigger transcriptome-wide responses in human cells cultured in physioxia and physiological buffers

Although pH instability is emerging as a potential driver of changes in cell physiology, pH is still poorly controlled during cell culture and in vitro experiments. Standard procedures include the use of chemicals usually not present in the primary physiological buffering system (CO2/HCO3-), such as acids and bases, to manipulate pH levels. This, however, leads to artifacts that potentially affect scientists' findings. Here, we propose a novel method for controlling pH levels by relying only on the physiological buffering system. pH was manipulated in a repurposed commercial bioreactor set-up, using a two-sided control loop of CO2 and N2 gas in NaHCO3--buffered medium. This method produces optimal and stable dO2 profiles and tightly maintains pH levels. With this procedure, we analyzed the effects of different pH levels (6.8, 7.0, 7.2, and 7.4) on the performance and transcriptome of the human GM12878 cell line over a 72-hours experiment. Our results showed that inflammation and negative cellular proliferation are among the signatures activated at low pH. This further highlights the importance of a thorough pH control during cell culture.

opencc-zeroMay 2022View details →

dryad36/100

Data from: Clustering Deviation Index (CDI): A robust and accurate internal measure for evaluating scRNA-seq data clustering

<div> <div> The clustering of cells has been widely used to explore the heterogeneity of cell populations in single-cell RNA-sequencing (scRNA-seq). We proposed a parametric model for monoclonal and polyclonal scRNA-seq data to evaluate clustering results. Based on the parametric model, we proposed a metric (CDI) to quantify the goodness-of-fit of cell clustering to the data. Here we presented CT26.WT and T-CELL as two datasets to examine the performance of our model and metric. CT26.WT contains wild-type CT26 cells from the murine colorectal carcinoma cell line, and cells in CT26.WT are highly homogeneous. T-CELL contains T-cells from tumor tissue of mice three weeks after 4T1 tumor injection. From these datasets and public datasets, we validated our model and benchmarked our metric. </div> </div>

opencc-zeroOct 2022View details →

opencc-by-4.0Jul 2024View details →

Table 2: Mean and Standard Deviation of Responses by Field of Knowledge and Parenting Practices

Table 2 of 13 Table 2: Mean and Standard Deviation of Responses by Field of Knowledge and Parenting Practices

opencc-by-4.0Oct 2018View details →

Mean and standard deviation of trimmed reads (original reads from PRJNA377625, Berbens et al., 2017)

The original reads were downloaded from the NCBI SRA PRJNA377625 (Berben et al., 2017 mSystems 2:e00102-17). Their maximum length was set to 120nts. For each sample and each read, the read length was extracted into a text file. The read length average and standard deviation was then calculated using R.

opencc-by-4.0Dec 2011View details →

Fig. 1 in Standard deviation of carabid size in Western German forest succession - a complex picture

Fig. 1. Male (squares) and female (circles) elytrae lengths of C. violaceus (mean ± SD).

FIGURE 5 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 5. Spiral deviations from three specimens of the species Terebratula terebratula.

FIGURE 7 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 7. Spiral deviations from three specimens of the species Pseudoatrypa sp.

FIGURE 6 in Application of shell spiral deviation methodology to fossil brachiopods: Implications for obtaining specimen ontogenetic ages

FIGURE 6. Spiral deviations from three specimens of the species Platystrophia ponderosa.