DataSheet2_Genome-wide association studies of seedling quantitative trait loci against salt tolerance in wheat.docx by Rao Waqar Ahmad Khan (13753888)

“…Effective 4417 SNPs encompassing all the chromosomes of the wheat genome with marker density, i.e., 37%, fall in genome B, genome D (32%), and genome A (31%). Five loci were found on four chromosomes 6B, 6D, 7A, and 7D, showing strong associations with the root length, fresh shoot weight, fresh root weight, and dry root weight at the p < 0.03 significance level. …”

DataSheet3_Genome-wide association studies of seedling quantitative trait loci against salt tolerance in wheat.docx by Rao Waqar Ahmad Khan (13753888)

“…Effective 4417 SNPs encompassing all the chromosomes of the wheat genome with marker density, i.e., 37%, fall in genome B, genome D (32%), and genome A (31%). Five loci were found on four chromosomes 6B, 6D, 7A, and 7D, showing strong associations with the root length, fresh shoot weight, fresh root weight, and dry root weight at the p < 0.03 significance level. …”

Table3_Genome-wide association studies of seedling quantitative trait loci against salt tolerance in wheat.DOCX by Rao Waqar Ahmad Khan (13753888)

“…Effective 4417 SNPs encompassing all the chromosomes of the wheat genome with marker density, i.e., 37%, fall in genome B, genome D (32%), and genome A (31%). Five loci were found on four chromosomes 6B, 6D, 7A, and 7D, showing strong associations with the root length, fresh shoot weight, fresh root weight, and dry root weight at the p < 0.03 significance level. …”

Table2_Genome-wide association studies of seedling quantitative trait loci against salt tolerance in wheat.DOCX by Rao Waqar Ahmad Khan (13753888)

“…Effective 4417 SNPs encompassing all the chromosomes of the wheat genome with marker density, i.e., 37%, fall in genome B, genome D (32%), and genome A (31%). Five loci were found on four chromosomes 6B, 6D, 7A, and 7D, showing strong associations with the root length, fresh shoot weight, fresh root weight, and dry root weight at the p < 0.03 significance level. …”

How the Electron-Transfer Cascade is Maintained in Chlorophyll‑<i>d</i> Containing Photosystem I by Tomoyasu Noji (1280301)

“…The substitution of pheophytin <i>a</i> (Pheo<i>a</i>) with Chl<i>a</i> at the electron acceptor site, A₀, decreases <i>E</i>_m(A₀), resulting in an uphill electron transfer from A_–1. …”

TBPH and Lark depletion alter Nipped-B and cohesin occupancy at gene regulatory sequences in BG3 cells. by Amanda Swain (107022)

“…Gene regulatory elements are defined as shown in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1006331#pgen.1006331.g002" target="_blank">Fig 2</a>. …”

Stent phantom with cheese. by Chi-Lun Weng (843472)

“…<p>(A) Monochromatic 70-keV, (B) monochromatic 140-keV, (C) iodine (calcium), (D) iodine (HAP), and (E) iodine (water) images of the marker location of the stent phantom show more areas of cheese (white arrow) on iodine (water) images because of decreased density of the radiopaque marker. …”

Sup. Fig. 4 by cintia rivares (9271235)

When Does Model-Based Control Pay Off? by Wouter Kool (450975)

“…It is assumed that this trade-off between accuracy and computational demand plays an important role in the arbitration between the two strategies, but we show that the hallmark task for dissociating model-free and model-based strategies, as well as several related variants, do not embody such a trade-off. We describe five factors that reduce the effectiveness of the model-based strategy on these tasks by reducing its accuracy in estimating reward outcomes and decreasing the importance of its choices. …”

Can stochasticity reverse selection? Here we compare two models of altruism having the same per-capita growth rate, but differing in variance in per-capita growth (Model 1-red, Mod... by David V. McLeod (6293807)

File name: Nicholson_et_al_manual_splits_9Myr_splits_ESM Title: Time binsDescription: File containing temporal bin information for use in Shareholder Quorum Subsampling analyses fr... by David B. Nicholson (638352)

Drinking Songs: Alcohol Effects on Learned Song of Zebra Finches by Christopher R. Olson (660102)

MERFISH data for mouse brain with fear condition by Wenfei Sun (17201452)

Supplementary Material for: PROLACTIN REDUCES HIPPOCAMPAL PARVALBUMIN AND GABAA RECEPTOR EXPRESSION IN FEMALE MICE by Mellado S. (11580511)

Storage of soybean seeds: Packaging and modified atmosphere technology by André F. Capilheira (7501628)

Data for Considering sub-basins in the spatio-temporal dynamics of lake food webs by Jonathan Borrelli (598774)

File name: Nicholson_et_al_Dataset_1_ESM.xlsx Title: Dataset 1Description: Mesozoic turtle occurrence data downloaded from http://fossilworks.org and associated data summaries used... by David B. Nicholson (638352)

Supplementary information: Anthropogenic organic contaminants analysed in human blood and combined risk by Josefin Engelhardt (11830130)

Gene cloning of the pink-colored protein from <i>Pleurotus salmoneostramineus</i> (PsPCP) and its species-specific chromoprotein are effective for colorization of the fruit body by Yasuhisa Fukuta (5643020)

Incorporating carrot pomace-based emulsion to enhance the nutritional value and shelf life of butter by Gulmira Naurzbayeva (16889084)