http://app.pan.pl/som/app6-sansalone_etal_som.pdf SUPPLEMENTARY ONLINE MATERIAL FOR New sytematic insights about Plio-Pleistocene moles from Poland Gabriele Sansalone, Tassos Kotsakis, and Paolo Piras Published in Acta Palaeontologica Polonica 206 6 (): 22 229. http://dx.doi.org/0.4202/app.006.204 Supplementary Online Material SOM. List of the specimens used in the GM analysis. SOM 2. Measurements of the material of Rzebikia polonica and Rzebikia skoczeni. SOM 3. List of the localities and relative ages where Q. europaea, Rzebikia skoczeni gen. nov. and Rzebikia polonica gen. nov. are present. SOM 4. rapper functions used.
SOM List of the specimens used in the GM analysis. Abbreviations: IVPP, Institute of Vetebrate Paleontology and Paleonathropology, Beijing, China; ISEZ-PAN, Institute of Systematics and Evolution of Animals Polish Academy of Sciences, Kraków, Poland; UCMP, University of California, Museum of Paleontology, Berkeley, USA; LACM, Los Angeles County Museum, Los Angeles, USA. Species Code Museum Locality Quyania chowi 6453..26, IVPP Ertemte 2, China 6453..94 Rzebikia polonica MF/05/23, MF/05/24, MF/05/25, MF/05/26, MF/07/9, MF/08/24 ISEZ-PAN Królewskie A,, Kielniki 3B, Poland Neurotrichus gibbsii Urotrichus dolichochir Urotrichus talpoides Dymecodon pilirostris no code, 23766a, 23766b, 5.37.6, 5.37.7, 93940, 93942, 93943, 93944, 86880b, 86880c 6936a, F-38, 6905, P6-067, 6936b 296, 28206, 2066, 28207, 29456, 2069, 20690, 28208, 2068, 20623, 20620, 29455 27443, 27459, 27449, 27450, 27455, 2944, 2062, 293 UCMP; LACM Lyon Universitè, France; Augsburg NaturMuseum, Germany National Museum of Nature and Science, Tsukuba, National Museum of Nature and Science, Tsukuba, Lane County, Bodega Bay, USA La Grive, France; Petersbuch 6, Germany
SOM 2 Measurements (in mm) of the material of Rzebikia polonica and Rzebikia skoczeni. The measurements taken follow Skoczeń (980; 993). Abbreviations: L, length;, width, N, sample amount. Locality Material N Measure Min Mean Max Rzebikia polonica Królewskie A Królewskie A Królewskie A Królewskie A Królewskie A Królewskie A Królewskie A P 4 L M 3 L M 2 L P 3 L M 3 L M 2 9 L M 3 4 L M 3 L M 2 L M L 2.4.28 8.20 2.70.85 5 7.22.96 5.7 6 0.5 2.2 2 2.42.7.22 2.4.33.29.4 2.82 2.48 2 2.45 0.60.92 6 9.07.26 2.02 5 6.2.75 0.7 7 4 2.33 4.27.2 2.58.8.26 2.78 2.45.7 0.7 8 8 2.4.4.35.5 2.9.95.3 2. 2.2.3.82 0.77 2.49 8.4.3 2.68
M 2 L M 3 L Kadzielnia P 4 L Kadzielnia M 2 L Kadzielnia M 2 2 L Kadzielnia M 3 L Królewskie A Królewskie A Królewskie A Clavicle 6 L Radius L Humerus 8 L Humerus L Kadzielnia Humerus L Varshets Humerus L Kielniki 3B Humerus L Rzebikia skoczeni ęże 2 Humerus L.7 4 5.85 5 4.2 8.4 3.9 4.3.9.07.73 0.63 7 7.22 0.74.75 2 3 6.87 7.8 7 3 4.2 8.8 8.6 4. 4.6 8.3 4. 4 7.8 3.9 3.8 7.6 3.7 3.9 8 4. 4.2 7.2 3.6 4.8 6 8.9 4.3.0 9. 4.4 4.8
SOM 3 List of the localities and relative ages where Q. europaea, Rzebikia skoczeni gen. nov. and Rzebikia polonica gen. nov. are present. (/ = absent; x = present). Locality Age Q. europaea Rzebikia skoczeni gen. nov. Podlesice MN4 x / / ęże MN5 x / / ęże 2 MN5 / x / MN6 x / x Królewskie A Kadzielnia MN7 x / x Kielniki 3b MN7 / / x MN7 / / x Varshets MN7 / / x Rzebikia polonica gen. nov.
SOM 4 rapper functions used. pwpermanovac<-function(y, group, method="none", nperm = 999){ library(vegan) group<-factor(group,levels=unique(group)) species<-as.numeric(group) fat_species<-group r_adonis<-matrix(0,nrow=max(species),ncol=max(species)) p_adonis<-matrix(0,nrow=max(species),ncol=max(species)) for(i in :(max(species)-)) { for(j in (i+):max(species)){ ado<adonis(y[species==i species==j,]~as.factor(fat_species[species==i species==j]),permutations=nperm,method="e uclidean") p_adonis[i,j]<-ado$aov.tab$pr[] r_adonis[i,j]<-ado$aov.tab$r2[] rownames(p_adonis)<-colnames(p_adonis)<-levels(fat_species) rownames(r_adonis)<-colnames(r_adonis)<-levels(fat_species) out<-list(p_adonis=p_adonis,r_adonis=r_adonis) tab<-p.adjust.mat(out$p_adonis,method=method) return(list(p_value_corrected=tab,r_adonis=out$r_adonis)) ################# pwperanovac<-function(y, group,method="none", nperm = 999){ library(vegan) group<-factor(group,levels=unique(group)) species<-as.numeric(group) fat_species<-group r_adonis<-matrix(0,nrow=max(species),ncol=max(species)) p_adonis<-matrix(0,nrow=max(species),ncol=max(species)) for(i in :(max(species)-)) { for(j in (i+):max(species)){ ado<adonis(y[species==i species==j]~as.factor(fat_species[species==i species==j]),permutations=nperm,method="eu clidean") p_adonis[i,j]<-ado$aov.tab$pr[] r_adonis[i,j]<-ado$aov.tab$r2[] rownames(p_adonis)<-colnames(p_adonis)<-levels(fat_species) rownames(r_adonis)<-colnames(r_adonis)<-levels(fat_species) out<-list(p_adonis=p_adonis,r_adonis=r_adonis) tab<-p.adjust.mat(out$p_adonis,method=method) return(list(p_value_corrected=tab,r_adonis=out$r_adonis))