<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". …”

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

The percentages of genes with largely changed expression after AdNKX2-1 infection. by Yuko Ito (1976692)

Subjects:

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

Pairwise correlations of excitatory neurons in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. …”

Both cis- and trans-cycles decrease in number upon treatment with auxin. by Manu Aggarwal (15990691)

“…(C) The number of trans-cycles also decreased. (D) The opacity of edge (<i>c</i>_<i>i</i>, <i>c</i>_<i>j</i>) indicates a difference in the number of trans cycles between control and auxin-treated that go through chromosomes <i>c</i>_<i>i</i> and <i>c</i>_<i>j</i>. …”

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…Histograms show the mean firing rate for the corresponding neuron along each segment of the virtual track. (B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 305 units from 5 recording sessions, n_APP/PS1 = 180 units from 4 recording sessions). …”

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 229 units from 5 recording sessions, n_APP/PS1 = 124 units from 4 recording sessions). …”

A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

Experiments validate that small spaces decrease fitness difference across different abundances. by Raymond Copeland (17854736)

Measures of access and affordability by income level, age 57 to 73 years. by Rahul Aggarwal (4428457)

Supplementary data: In vitro amplification of whole large plasmids via transposon-mediated oriC insertion by Masayuki Su'estugu (11359558)

“…<div> <table> <tr> <td> <p><b>Supplementary Table: A list of primers used in this study</b></p> <p><b>Supplementary Figure 1. …”

The rate the bias decreases with sample duration is higher for cells with higher activity levels. by Liron Sheintuch (12078310)

Section A represents a randomised trial of IL6RA therapy with both normal IL-6 signalling and the effect of intervention. by Fergus W. Hamilton (10724401)

During electrical stimulation the decrease in compound action potential (CAP), but not of ATP, is larger in <i>Plp</i>^null/y mice. by Andrea Trevisiol (9647910)

Figure 6. Analysis of peptidergic network degree highlights hubs and a large rich club by Lidia Ripoll-Sánchez (17031075)

A large degree of genetic structure exists in <i>Porites</i> spp. species complex. by Carly B. Scott (21736069)

Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx by Hamish Clarke (8666307)

“…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …”

Degree heterogeneity and community structure affect hospitalized peak in real networks. by Valeria d’Andrea (12095838)