Samples grouped according to similarities in environmental conditions as determined by cluster analysis and SIMPROF.

Clustering based on environmental matrix.

Rafael Gonçalves-Araujo (3687895)
Benjamin Rabe (4740120)
Ilka Peeken (471609)
Astrid Bracher (3687904)

January 2018

(top) Dendogram (cophenetic correlation coefficient: c = 0.91) for sampling ...

Using Clustered Climate Regimes For

Understanding Water Cycle
Forrest M. Hoffman
William W. Hargrove
David J. Erickson Iii
Robert Oglesby

January 2003

spect to the N charac- Corresponding author address: Forrest M. Hoffman, Oak Ridge National Labora...

Result of cluster analysis.

Yibo Wang (304377)
Wenjing Zhang (246857)
Yuanshao Lin (368489)
Wenqing Cao (5659792)
Lianming Zheng (591593)
Jun Yang (2084)

July 2014

The result was based on Bray-Curtis similarities from square root-transformed biotic data of 51 e...

Key environmental factors for Self-Organizing Map (SOM) clusters.

Jessica L. Gronniger (17364368)
Patrick C. Gray (7038218)
Alexandria K. Niebergall (7409702)
Zackary I. Johnson (6696353)
Dana E. Hunt (498366)

November 2023

Numbered clusters correspond to the most common environments: Continental shelf (Cluster 1), Contine...

Hierarchical cluster of the samples.

Miodeli Nogueira Júnior (833742)
Frederico Pereira Brandini (833743)
Juan Carlos Ugaz Codina (833744)

December 2015

Cluster (group average mode) was generated using a Bray-Curtis similarity matrix after abundance ...

List of all six climatic clusters that group 20% of the explained variance of PC1 and PC2 of the principal component analysis (PCA).

Bernat Burriel-Carranza (6659114)
Pedro Tarroso (229006)
Johannes Els (2854049)
Andrew Gardner (3428240)
Pritpal Soorae (6659117)
Ahmed Ali Mohammed (6659120)
Sai Ravi Krishna Tubati (6659123)
Mohamed Mustafa Eltayeb (6659126)
Junid Nazeer Shah (6659129)
Héctor Tejero-Cicuéndez (6659132)
Marc Simó-Riudalbas (2547571)
Juan Manuel Pleguezuelos (4836300)
Daniel Fernández-Guiberteau (4836261)
Jiří Šmíd (415577)
Salvador Carranza (415578)

May 2019

The table shows the cluster denomination; the number of species present in each cluster, the number ...

Multivariate correlations and regressions between environmental variables and Φe,C for different clusters and regions.

Evelyn Lawrenz (389173)
Greg Silsbe (389174)
Elisa Capuzzo (389175)
Pasi Ylöstalo (389176)
Rodney M. Forster (389177)
Stefan G. H. Simis (389178)
Ondřej Prášil (190882)
Jacco C. Kromkamp (389179)
Anna E. Hickman (389180)
C. Mark Moore (324160)
Marie-Hélèn Forget (389181)
Richard J. Geider (389182)
David J. Suggett (389183)

March 2013

Results of the BEST test are the variable combinations resulting in the highest correlation coeff...

Jan Jezbera (176497)
Jitka Jezberová (176484)
Vojtěch Kasalický (386704)
Karel Šimek (176502)
Martin W. Hahn (176468)

March 2013

Occurrence similarity clusters of the Limnohabitans probe-defined groups; panel a: Princip...

Heatmap showing the hierarchical clustering analysis of the communities from different ecological sites.

Jiang-Ke Yang (105433)
Jian-Fang Liang (5787104)
Lu-Mei Xiao (5787107)
Yang Yang (45629)
Qun-Fang Chao (5787110)

September 2018

Pearson correlation distance metric and average linkage clustering methods were used to construct HC...

Spatial Variability in Microbial Community.

Alicia K. Williams (796627)
Allison S. McInnes (764622)
Jay R. Rooker (172445)
Antonietta Quigg (234728)

September 2015

(A) Group average cluster analysis based on the community structure. The black lines indicate tha...

Environmental characteristics of the species clusters.

Pawel Wasowicz (5339030)
Andrzej Pasierbiński (600656)
Ewa Maria Przedpelska-Wasowicz (600657)
Hörður Kristinsson (600658)

July 2014

Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...

Variations of environmental conditions at the sampling station between December 2010 and October 2011.

Jean-Baptiste Romagnan (703749)
Louis Legendre (308458)
Lionel Guidi (463188)
Jean-Louis Jamet (703750)
Dominique Jamet (703751)
Laure Mousseau (703752)
Maria-Luiza Pedrotti (703753)
Marc Picheral (703754)
Gabriel Gorsky (703755)
Christian Sardet (104122)
Lars Stemmann (703756)

March 2015

The two coloured bars at the top represent the duration of the different clusters based on the tw...

Classification of samples using (A) agglomerative cluster analysis identified clusters which were significantly different from each other.

Samuel Dorado (764619)
Tyra Booe (764620)
Jamie Steichen (764621)
Allison S. McInnes (764622)
Rachel Windham (764623)
Alicia Shepard (764624)
Allyson E. B. Lucchese (764625)
Hannah Preischel (764626)
James L. Pinckney (764627)
Stephen E. Davis (764628)
Daniel L. Roelke (709821)
Antonietta Quigg (234728)

July 2015

Small clusters originating from same major branch were grouped together (to increase n val...

Clustering analysis based on OTUs of 7 seawater samples.

Ji-Hui Seo (3845230)
Ilnam Kang (518235)
Seung-Jo Yang (3459200)
Jang-Cheon Cho (518240)

March 2017

(A) Dendrogram and heat map based on Bray-Curtis distances showing the clustering of bacterial co...

PCoA plot (principal components 1 and 2) for the same samples as in Fig 4.

Andreas Henschel (14122)
Muhammad Zohaib Anwar (812212)
Vimitha Manohar (812213)

October 2015

The scatter plot shows relatively cohesive and distinct ecosystems. While large studies often con...

Clustering based on environmental matrix.

Rafael Gonçalves-Araujo (3687895)
Benjamin Rabe (4740120)
Ilka Peeken (471609)
Astrid Bracher (3687904)

January 2018

(top) Dendogram (cophenetic correlation coefficient: c = 0.91) for sampling ...

Using Clustered Climate Regimes For

Understanding Water Cycle
Forrest M. Hoffman
William W. Hargrove
David J. Erickson Iii
Robert Oglesby

January 2003

spect to the N charac- Corresponding author address: Forrest M. Hoffman, Oak Ridge National Labora...

Result of cluster analysis.

Yibo Wang (304377)
Wenjing Zhang (246857)
Yuanshao Lin (368489)
Wenqing Cao (5659792)
Lianming Zheng (591593)
Jun Yang (2084)

July 2014

The result was based on Bray-Curtis similarities from square root-transformed biotic data of 51 e...

Key environmental factors for Self-Organizing Map (SOM) clusters.

Jessica L. Gronniger (17364368)
Patrick C. Gray (7038218)
Alexandria K. Niebergall (7409702)
Zackary I. Johnson (6696353)
Dana E. Hunt (498366)

November 2023

Numbered clusters correspond to the most common environments: Continental shelf (Cluster 1), Contine...

Hierarchical cluster of the samples.

Miodeli Nogueira Júnior (833742)
Frederico Pereira Brandini (833743)
Juan Carlos Ugaz Codina (833744)

December 2015

Cluster (group average mode) was generated using a Bray-Curtis similarity matrix after abundance ...

List of all six climatic clusters that group 20% of the explained variance of PC1 and PC2 of the principal component analysis (PCA).

Bernat Burriel-Carranza (6659114)
Pedro Tarroso (229006)
Johannes Els (2854049)
Andrew Gardner (3428240)
Pritpal Soorae (6659117)
Ahmed Ali Mohammed (6659120)
Sai Ravi Krishna Tubati (6659123)
Mohamed Mustafa Eltayeb (6659126)
Junid Nazeer Shah (6659129)
Héctor Tejero-Cicuéndez (6659132)
Marc Simó-Riudalbas (2547571)
Juan Manuel Pleguezuelos (4836300)
Daniel Fernández-Guiberteau (4836261)
Jiří Šmíd (415577)
Salvador Carranza (415578)

May 2019

The table shows the cluster denomination; the number of species present in each cluster, the number ...

Multivariate correlations and regressions between environmental variables and Φe,C for different clusters and regions.

Evelyn Lawrenz (389173)
Greg Silsbe (389174)
Elisa Capuzzo (389175)
Pasi Ylöstalo (389176)
Rodney M. Forster (389177)
Stefan G. H. Simis (389178)
Ondřej Prášil (190882)
Jacco C. Kromkamp (389179)
Anna E. Hickman (389180)
C. Mark Moore (324160)
Marie-Hélèn Forget (389181)
Richard J. Geider (389182)
David J. Suggett (389183)

March 2013

Results of the BEST test are the variable combinations resulting in the highest correlation coeff...

Jan Jezbera (176497)
Jitka Jezberová (176484)
Vojtěch Kasalický (386704)
Karel Šimek (176502)
Martin W. Hahn (176468)

March 2013

Occurrence similarity clusters of the Limnohabitans probe-defined groups; panel a: Princip...

Heatmap showing the hierarchical clustering analysis of the communities from different ecological sites.

Jiang-Ke Yang (105433)
Jian-Fang Liang (5787104)
Lu-Mei Xiao (5787107)
Yang Yang (45629)
Qun-Fang Chao (5787110)

September 2018

Pearson correlation distance metric and average linkage clustering methods were used to construct HC...

Spatial Variability in Microbial Community.

Alicia K. Williams (796627)
Allison S. McInnes (764622)
Jay R. Rooker (172445)
Antonietta Quigg (234728)

September 2015

(A) Group average cluster analysis based on the community structure. The black lines indicate tha...

Environmental characteristics of the species clusters.

Pawel Wasowicz (5339030)
Andrzej Pasierbiński (600656)
Ewa Maria Przedpelska-Wasowicz (600657)
Hörður Kristinsson (600658)

July 2014

Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...

Variations of environmental conditions at the sampling station between December 2010 and October 2011.

Jean-Baptiste Romagnan (703749)
Louis Legendre (308458)
Lionel Guidi (463188)
Jean-Louis Jamet (703750)
Dominique Jamet (703751)
Laure Mousseau (703752)
Maria-Luiza Pedrotti (703753)
Marc Picheral (703754)
Gabriel Gorsky (703755)
Christian Sardet (104122)
Lars Stemmann (703756)

March 2015

The two coloured bars at the top represent the duration of the different clusters based on the tw...

Classification of samples using (A) agglomerative cluster analysis identified clusters which were significantly different from each other.

Samuel Dorado (764619)
Tyra Booe (764620)
Jamie Steichen (764621)
Allison S. McInnes (764622)
Rachel Windham (764623)
Alicia Shepard (764624)
Allyson E. B. Lucchese (764625)
Hannah Preischel (764626)
James L. Pinckney (764627)
Stephen E. Davis (764628)
Daniel L. Roelke (709821)
Antonietta Quigg (234728)

July 2015

Small clusters originating from same major branch were grouped together (to increase n val...

Clustering analysis based on OTUs of 7 seawater samples.

Ji-Hui Seo (3845230)
Ilnam Kang (518235)
Seung-Jo Yang (3459200)
Jang-Cheon Cho (518240)

March 2017

(A) Dendrogram and heat map based on Bray-Curtis distances showing the clustering of bacterial co...

PCoA plot (principal components 1 and 2) for the same samples as in Fig 4.

Andreas Henschel (14122)
Muhammad Zohaib Anwar (812212)
Vimitha Manohar (812213)

October 2015

The scatter plot shows relatively cohesive and distinct ecosystems. While large studies often con...

Clustering based on environmental matrix.

Rafael Gonçalves-Araujo (3687895)
Benjamin Rabe (4740120)
Ilka Peeken (471609)
Astrid Bracher (3687904)

January 2018

(top) Dendogram (cophenetic correlation coefficient: c = 0.91) for sampling ...

Using Clustered Climate Regimes For

Understanding Water Cycle
Forrest M. Hoffman
William W. Hargrove
David J. Erickson Iii
Robert Oglesby

January 2003

spect to the N charac- Corresponding author address: Forrest M. Hoffman, Oak Ridge National Labora...

Result of cluster analysis.

Yibo Wang (304377)
Wenjing Zhang (246857)
Yuanshao Lin (368489)
Wenqing Cao (5659792)
Lianming Zheng (591593)
Jun Yang (2084)

July 2014

The result was based on Bray-Curtis similarities from square root-transformed biotic data of 51 e...

Samples grouped according to similarities in environmental conditions as determined by cluster analysis and SIMPROF.

Abstract

Extracted data

Samples grouped according to similarities in environmental conditions as determined by cluster analysis and SIMPROF.

Abstract

Extracted data

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