This dataset contains 15 minute average mobile unit box plot imagery of CO, NO2, O3, PM10, and SO2 collected during the MILAGRO field project.

Figure A, Histogram of Absolute Differences of F-scores of Delays and Effects for One Segment Small Hidden Case. Figure B, Histogram of Absolute Differences of F-scores of Links and Delays for One Segment Small Hidden Case. Figure C, Profiles of F-scores of Links, Delays and Effects for Different Settings for One Segment Small Non-Hidden Case. Figure D, Histogram of Absolute Differences of F-scores of Links and Effects for One Segment Small Non-Hidden Case. Figure E, Histogram of Absolute Differences of F-scores of Delays and Effects for One Segment Small Non-Hidden Case. Figure F, Histogram of Absolute Differences of F-scores of Links and Delays for One Segment Small Non-Hidden Case. Figure G, Histogram of Absolute Differences of F-scores of Links and Effects for One Segment Large Case. Figure H, Histogram of Absolute Differences of F-scores of Delays and Effects for One Segment Large Case. Figure I, Histogram of Absolute Differences of F-scores of Links and Delays for One Segment Large Case. Figure J, Boxplot of Effects F-score with Different σ2 for One Segment Small Non-Hidden Case. Figure K, Boxplot of Effects F-score with Different σ2 for One Segment Large Case. Figure L, Boxplot of Effects F-score with Different σ2 for Multiple Segments Small Hidden Case. Figure M, Boxplot of Effects F-score with Different σ2 for Multiple Segments Small Non-Hidden Case. Figure N, Boxplot of Effects F-score with Different σ2 for Multiple Segments Large Case. Table A, Full Results of Median Performance for One Segment Small GRN with One Hidden Node.e2 is σ2, alpha is α, nps is number of time points m, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 20 replicates. Table B, Full Results of Median Performance for One Segment Small GRN without Hidden Node. e2 is σ2, alpha is α, nps is number of time points m, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 20 replicates. Table C, P-values of one-sided Wilcoxon signed-rank test on whether the medians Effects F-scores of hidden is better than hiddenCL for the One Segment Large Case. Table D, Full Results of Median Performance for Multiple Segments Small GRN with One Hidden Node. e2 is σ2, alpha is α, nsegs is number of segments K, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 20 replicates. Table E, Full Results of Median Performance for Multiple Segments Small GRN without Hidden Node. e2 is σ2, alpha is α, nsegs is number of segments K, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 20 replicates. Table F, Full Results of Median Performance for Multiple Segments Large GRN with More than One Hidden Node with n = 50 and n = 100. ng is the number of observed genes n, nh is the number of hidden nodes nh, e2 is σ2, alpha is α, nsegs is number of segments K, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 40 replicates. Table G, P-values of one-sided Wilcoxon signed-rank test on whether the medians Effects F-scores of hidden is better than hiddenCL for the Multiple Segments Large Case. Table H, Full Results of Median Performance for One Segments Large GRN with Different δ2 with n = 50 and n = 100. ng is the number of observed genes n, nh is the number of hidden nodes nh, e2 is σ2, alpha is α, nps is number of time points m, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. d2 is δ2. Each median is taken over 40 replicates. Table I, Full Results of Median Performance for Multiple Segments Large GRN with More than One Hidden Node with n = 50 and n = 100. ng is the number of observed genes n, nh is the number of hidden nodes nh, e2 is σ2, alpha is α, nsegs is number of segments K, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. d2 is δ2. Each median is taken over 40 replicates. Table J, P-values of one-sided Wilcoxon signed-rank test on whether the medians Effects F-scores of hidden is better than hiddenCL for the Heterogeneous Variance One Segment Large Case. Table K, P-values of one-sided Wilcoxon signed-rank test on whether the medians Effects F-scores of hidden is better than hiddenCL for the Heterogeneous Variance Multiple Segments Large Case. Table L, Full Results of Median Performance for One Segment Large GRN with More than One Hidden Node with n = 50 and n = 100. ng is the number of observed genes n, nh is the number of hidden nodes nh, e2 is σ2, alpha is α, nps is number of time points m, st is the score threshold. For the data column, hidden means using our proposed algorithm on the incomplete data, complete means using CLINDE on the complete data (i.e. all nodes are not hidden), hiddenCL means using CLINDE on the incomplete data. l2., d2. and e2. are Links, Delays and Effects respectively. r is Recall, p is Precision and f is F-score. Each median is taken over 40 replicates. (ZIP)

Pre-course, post-course and one-year post-course mean test scores with median difference in Lisungwi Community Hospital and Neno District Hospital.

We used Bayesian logistic regression to estimate the effect of several variables on the on the probability that phylogenetic datasets were either available from a public archive (left column) or could be successfully procured by direct solicitation (right column). Specifically, for all datasets we explored the effect of the data-sharing policy of the publishing journal (scored as none, weak, strong, or JDAP membership) and the impact of funding-agency policy (NSF). For solicited datasets, we also assessed the impact of solicitor status (undergraduate, graduate, or professor). We estimated effects of these variables on our ability to successfully procure either the tree or alignment files (top panels), or both the tree and alignment files (bottom panels) for a given study. The estimated effect size for a given variable reflects its contribution to the probability of successfully acquiring the data. For each variable, the marginal distribution of its estimated effect size is summarized as a boxplot, indicating the median effect (solid line), interquartile range (box), and interquartile range (whisker) of the corresponding posterior probability distribution. Journal-policy effects are relative to the effect of a weak policy, and solicitor-status effects are relative to that of graduate student. The predictor variables and interpretation of the corresponding parameters are described in Table 1.

Average negentropy of simulated EEGmix channels and detected sources per algorithm obtained over 10 model simulations (MD = 75%)–see S1 Fig for a boxplot presentation.

Box plot explanation: upper horizontal line of box, 75th percentile; lower horizontal line of box, 25th percentile; horizontal bar within box, median; upper horizontal bar outside box, 90th percentile; lower horizontal bar outside box, 10th percentile. Circles represent outliers.

Box plot explanation: upper horizontal line of box, 75th percentile; lower horizontal line of box, 25th percentile; horizontal bar within box, median; upper horizontal bar outside box, 90th percentile; lower horizontal bar outside box, 10th percentile. Circles represent outliers.

E. macularius (n = 32), E. angramainyu (n = 4), their hybrids of the first (F1; n = 25) and second (F2; n = 3) filial generations and the reciprocal backcrosses of F1 males or females to the E. macularius (B1M; the individuals with father F1 hybrid are denoted as MxMA, while those with the mother F1 hybrid as MAxM; n = 11 and 16, respectively). Median, quartiles and ranges are provided.