about
A universal trend among proteomes indicates an oily last common ancestorSpontaneous Neural Dynamics and Multi-scale Network OrganizationThe dynamic microbiomeUsing multivariate cross correlations, Granger causality and graphical models to quantify spatiotemporal synchronization and causality between pest populationsUntangling Brain-Wide Dynamics in Consciousness by Cross-EmbeddingOn the causal structure between CO2 and global temperatureDistinguishing time-delayed causal interactions using convergent cross mappingCan we predict the unpredictable?Analysis of complex neural circuits with nonlinear multidimensional hidden state models.Toward a theory of resilience for international development applicationsPredicting climate effects on Pacific sardineEquation-free mechanistic ecosystem forecasting using empirical dynamic modelingMulti-factor climate change effects on insect herbivore performance.Climate, fishing, and fluctuations of sardine and anchovy in the California Current.A two-fold increase of carbon cycle sensitivity to tropical temperature variations.Global environmental drivers of influenzaChaos as an intermittently forced linear systemLong-term decline in grassland productivity driven by increasing drynessDiscovering governing equations from data by sparse identification of nonlinear dynamical systems.Discovering Psychological Principles by Mining Naturally Occurring Data Sets.Multidimensional Recurrence Quantification Analysis (MdRQA) for the Analysis of Multidimensional Time-Series: A Software Implementation in MATLAB and Its Application to Group-Level Data in Joint ActionPredictability in community dynamics.Reconstruction of Complex Directional Networks with Group Lasso Nonlinear Conditional Granger Causality.Vegetation changes and land surface feedbacks drive shifts in local temperatures over Central Asia.2013 Thomas Willis Award Lecture: Causation and collaboration for stroke research.On inference of causality for discrete state models in a multiscale context.Why would associations between cardiometabolic risk factors and depressive symptoms be linear?The temporal spectrum of adult mosquito population fluctuations: conceptual and modeling implications.Microbial community responses to anthropogenically induced environmental change: towards a systems approach.Sugihara causality analysis of scalp EEG for detection of early Alzheimer's diseaseA nonlinear dynamics approach for incorporating wind-speed patterns into wind-power project evaluation.Biotic interactions and temporal dynamics of the human gastrointestinal microbiotaDynamical evidence for causality between galactic cosmic rays and interannual variation in global temperatureEquation-free modeling unravels the behavior of complex ecological systems.Earlier vegetation green-up has reduced spring dust storms.The heterogeneous dynamics of economic complexityCausality Analysis: Identifying the Leading Element in a Coupled Dynamical System.MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.Millions of reads, thousands of taxa: microbial community structure and associations analyzed via marker genes.Detecting Causality by Combined Use of Multiple Methods: Climate and Brain Examples.
P2860
Q21145308-52ED18D9-C1B6-40C5-97A1-AE3D21C26084Q26768203-790197F1-AA9E-47E2-A17E-58E72C0ADD2AQ27027596-7CE16D29-2099-48E9-92DD-5C34BA796FCFQ27309151-4F831A09-0E8E-4CE3-A55D-C87A1D6627BAQ27317313-2EBD2258-D12C-45FB-82C5-02D6463DB0EAQ28603965-3868768B-E6E5-4406-8AB2-F92789D1591BQ28606945-77AF1DCF-2EF2-41F5-82A8-1A0ABBD501DCQ28653126-C862F992-F849-496C-9F8E-A7718FF26831Q30388486-ECE66855-8F06-4FED-8B9E-CC240811F14DQ30389129-1D261C4D-5AD2-4EB8-8797-1C1CEE7895FEQ30539047-D609EA98-93B1-44C9-AB7A-306E44EC9A36Q30636029-24E9EF24-4604-4916-A1BC-A8B75B2F12F9Q30650739-FBDFABDC-B806-4489-908F-24A259E0FDFFQ30654159-15CAF9F1-F4AD-446C-9396-E5FF28CFADC3Q30742098-3145B3FB-4929-4EA4-9208-D1F23797C606Q30830675-C30810EC-92F2-4A55-AAA5-1344C6F71123Q30853989-CE3AC7C5-8851-4BD6-A86E-B40D6FC7EB07Q30951330-B10385C4-238E-4B9D-8F62-141285234099Q31066590-9833DA22-9AA4-412C-97EB-39572B3347DEQ31114056-50034DE8-26C4-459F-9402-D198AE2FF4DDQ31147082-8B7F1068-3669-4AEA-BB7F-3993C29BF6D0Q31158575-92407C85-5B12-4245-B196-D44A2F3954EDQ33774452-6B5CC318-B754-449B-9312-E0A6E0215932Q33789685-635BA66F-327C-4344-AE26-7FCDC7C74F7BQ33793133-AA33C3FA-EF9A-4E1A-8C3D-B85495094A65Q34384003-B898507D-63CC-4690-A6B2-5ABE6EEC9658Q34410483-89E5A86D-DE98-41B2-84B3-FDE0CA34CE25Q34639925-361879FC-A50A-430E-BA3E-9C039CA2C95CQ34725546-0FB1DC91-D366-408C-8227-557BE3926C29Q34988690-ED9A46E2-C1F9-429E-A6C3-CE9569DB1B8DQ35009077-80991402-39D1-48F3-80C6-C1A56A0CBA9CQ35092501-2D96190C-9478-4F0B-A65E-A67F08985673Q35212496-E09E23C5-E272-47FC-BE26-C524B59C117DQ35279743-1BB852E9-5F01-4CDD-8C16-F54437685641Q35364421-DFE6600B-C0A0-4F54-B8D3-1F71E8C3C3F3Q35559203-CF42F043-5B33-48F9-B410-C14758097785Q35678305-B7234FCA-AAC1-48FC-9214-3EC19A9AE458Q36040381-FEA46EF9-EEC7-457C-83F9-05B19BC1D9E9Q36064477-46553DFC-5F60-46BA-AD3B-EBDB4C1FE13FQ36068381-FC402607-9D75-4B1B-8A22-9C228CFED9FF
P2860
description
2012 nî lūn-bûn
@nan
2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Detecting causality in complex ecosystems.
@ast
Detecting causality in complex ecosystems.
@en
Detecting causality in complex ecosystems.
@nl
type
label
Detecting causality in complex ecosystems.
@ast
Detecting causality in complex ecosystems.
@en
Detecting causality in complex ecosystems.
@nl
prefLabel
Detecting causality in complex ecosystems.
@ast
Detecting causality in complex ecosystems.
@en
Detecting causality in complex ecosystems.
@nl
P2093
P2860
P50
P356
P1433
P1476
Detecting causality in complex ecosystems.
@en
P2093
Ethan Deyle
George Sugihara
Michael Fogarty
Stephan Munch
P2860
P304
P356
10.1126/SCIENCE.1227079
P407
P577
2012-09-20T00:00:00Z