Figure S2. The noise-type classification and the neutrality test for Ricker and gLV are robust to positive edge percentage, but connectance affects noise types in Ricker. (a, c) The percentage of taxa with black, brown, pink and white noise types is plotted against the connectance of the interaction matrix for Ricker and gLV, respectively. The percentage of black taxa in Ricker was positively correlated to connectance (Spearman’s rho: 0.86, p value < 0.00001), whereas the percentage of pink taxa in Ricker was negatively correlated to connectance (Spearman’s rho: − 0.71, p value = 0.00049). (b, d) The percentage of taxa with black, brown, pink, and white noise types is plotted against the positive edge percentage of the interaction matrix fo...
NMDS plots using the Bray distance metric with all the samples except for the Yatsunenko study sampl...
Control analysis of Mystic Lake and control samples. a.) PCoA plot of samples colored according to d...
Figure S6. Evolutionary dynamics of cooperation, conditional defection, and defection in the simplex...
Figure S3. The noise-type classification and the neutrality test for SOI are robust to interaction m...
Figure S4. The noise-type classification and the neutrality test are robust for a wide parameter ran...
Figure S1. Maximal autocorrelation and Hurst exponent profiles reproduce patterns seen with noise ty...
Figure S5. The test for temporal structure with noise types is robust to compositionality and the ab...
Figure S6. The test for temporal structure with noise types is robust to noise. (a) Noise-type profi...
Table S1. lists for each test time series the parameters used to generate it (sheet “Model parameter...
Figure S7. Increasing the time series length improves the accuracy of the test for temporal structur...
Figure S8. Increasing the time series length improves the accuracy of the test for temporal structur...
Figure S10. The accuracy of network inference with LIMITS decreases more strongly when applied to th...
Figure S11. Time series of the 100 top abundant OTUs in the processed stool data of individual A and...
Figure S12. Variability of noise-type classification across rarefactions. The noise types of 100 tax...
Background: Growth rates, interactions between community members, stochasticity, and immigration are...
NMDS plots using the Bray distance metric with all the samples except for the Yatsunenko study sampl...
Control analysis of Mystic Lake and control samples. a.) PCoA plot of samples colored according to d...
Figure S6. Evolutionary dynamics of cooperation, conditional defection, and defection in the simplex...
Figure S3. The noise-type classification and the neutrality test for SOI are robust to interaction m...
Figure S4. The noise-type classification and the neutrality test are robust for a wide parameter ran...
Figure S1. Maximal autocorrelation and Hurst exponent profiles reproduce patterns seen with noise ty...
Figure S5. The test for temporal structure with noise types is robust to compositionality and the ab...
Figure S6. The test for temporal structure with noise types is robust to noise. (a) Noise-type profi...
Table S1. lists for each test time series the parameters used to generate it (sheet “Model parameter...
Figure S7. Increasing the time series length improves the accuracy of the test for temporal structur...
Figure S8. Increasing the time series length improves the accuracy of the test for temporal structur...
Figure S10. The accuracy of network inference with LIMITS decreases more strongly when applied to th...
Figure S11. Time series of the 100 top abundant OTUs in the processed stool data of individual A and...
Figure S12. Variability of noise-type classification across rarefactions. The noise types of 100 tax...
Background: Growth rates, interactions between community members, stochasticity, and immigration are...
NMDS plots using the Bray distance metric with all the samples except for the Yatsunenko study sampl...
Control analysis of Mystic Lake and control samples. a.) PCoA plot of samples colored according to d...
Figure S6. Evolutionary dynamics of cooperation, conditional defection, and defection in the simplex...