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66 results for “biometry”
Biometry data to reveal geographic variation in Bramblings Fringilla montifringilla
<p><strong>Abstract</strong></p> <p>The Brambling <em>Fringilla montifringilla</em> has a large breeding distribution across the entire Palaearctic taiga region. Birds in the Far East are more brightly coloured and formerly separated as subspecies <em>subcuneolata</em> (S. Cramp & C. M. Perrins 1994; Handbook of the Birds of Europe, the Middle East and North Africa. The Birds of the Western Palearctic, Vol. 8. Oxford University Press, Oxford). To reveal possible geographical variation in the size of the wing, primary feathers, bill, and in the extent of the partial post-juvenile moult, we present measurements taken from 579 skins of the Natural History Museum, Tring UK, Natural History Museum of Denmark, Copenhagen, The Arctic University Museum of Norway, Tromsø, Natural History Museum, University of Oslo, Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Swedish Museum of Natural History, Stockholm, and Finnish Museum of Natural History, Helsinki.</p> <p>I thank I. C. J. Galbraith for allowing us to measure the birds in the collection of the Natural History Museum, Tring UK, and the following museums and their curators for sending Brambling specimens to Switzerland more than 35 years ago: Natural History Museum of Denmark, Copenhagen (Jon Fieldså), The Arctic University Museum of Norway, Tromsø (Hans-Petter Mannvik and Wim Vader), Natural History Museum, University of Oslo (Tore Slagsvold), Zoologisches Forschungsmuseum Alexander Koenig, Bonn (Renate van den Elzen), Swedish Museum of Natural History, Stockholm (Bo Fernholm), and Finnish Museum of Natural History, Helsinki (Ann Forstén). I thank Raffael Winkler, Natural History Museum Basel for managing these specimen exchanges. I thank Susanne Jenni-Eiermann for help with measuring the large collection of the Natural History Museum at Tring).</p> <p>I thank Mark Adams (Natural History Museum, Tring UK), Peter A. Hosner (Natural History Museum of Denmark, Copenhagen), Geir Rudolfsen (The Arctic University Museum of Norway, Tromsø), Jan T. Lifjeld (Natural History Museum, University of Oslo), Till Töpfer (Zoologisches Forschungsmuseum Alexander Koenig), Ulf Johansson (Swedish Museum of Natural History, Stockholm), and Hanna Laakkonen (Finnish Museum of Natural History, Helsinki) for updating the collection numbers of the specimens and giving permission to present these data here.</p> <p>Explanations of the variables can be found in the Excel-file.</p> <p> </p> <p> </p>
FIG. 10 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 10. — LSI of sheep bone width measurements in statistically meaningful Early/Middle Bronze Age find complexes. For Barche di Solferino, see Figure 7.
FIG. 5 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 5. — LSI of sheep bone width measurements in broad chronological subdivision. For the results of the significance test, see Table 3.
FIG. 4 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 4. — The LSI median values of width measurements compared with the shoulder height of sheep in individual find complexes. Furthermore, sample size in shoulder height values is considered. Abbreviations: BA, Bronze Age; EBA, Early Bronze Age; EIA, Early Iron Age; IA, Iron Age; LBA, Late Bronze Age; LIA, Late Iron Age; MBA, Middle Bronze Age; NCA, Neolithic/Copper Age. Site numbering, see Tables 1, 2.
FIG. 9 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 9. — LSI of sheep bone width measurements in Neolithic/Copper Age archaeofaunas. For the results of the significance test, see Table 3.
FIG. 6 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 6. — LSI of sheep bone width measurements in several micro-regions (for the results of the significance test see Table 3). The sites are arranged in chronological orders and numbering refers to Table 1. Abbreviations: a, Northern Pre-Alps and Limestone Alps; b, Inn Valley; BA, Bronze Age; c,Val Venosta; d, Isarco Valley; e, Adige Valley and surroundings; EBA, Early Bronze Age; EIA, Early Iron Age; ELT, Early La Tène Period; f, Southern drop of the Alps with Lessinian Mountains and Northern Padanian Plain;IA, Iron Age; LBA, Late Bronze Age; LIA, Late Iron Age; LLT, Late La Tène Period; MBA, Middle Bronze Age; MLT, Middle La Tène Period; NCA, Neolithic/Copper Age.
FIG. 1 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 1. — The percentage of the main livestock species animals in Prehistoric Alpine find complexes., Neolithic/Copper Age;, Bronze Age;, Iron Age. Site numbering, see Table 1.
FIG. 11 in The biometry of prehistoric Alpine sheep: exploring four millennia of human-sheep interaction by means of osteometry
FIG. 11. — The Bronze Age sheep populations of the Northern Alpine Foreland and the Inn Valley in LSI comparison. For the results of the significance test, see Table 3.
Fig. 7 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 7. Differences in slopes obtained for lineal regressions of mollusks with and without shells. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Fig. 1 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 1. Lower to higher fit level (R2) for the lineal models on metric-DW variation of invertebrates. The pie-chart shows the proportion (%) of values that fall within each R2 category. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Fig. 2-5 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 2-5. Dispersion plots and lineal curves on L-DW regressions for (2) oligochaetes, (3) mollusks, (4) insects and (5) all invertebrates together. For Planorbidae L=D and for Ampullariidae L= H. In Fig. 5 only apple snails H-DW were considered within "Gastropoda" and only Corbiculidae and Hyriidae (and not Sphaeriidae) were considered within "Bivalvia". Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Fig. 6 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 6. Fit levels obtained from freshwater invertebrates metric-DW lineal regressions. L= length, W= width and other metrics= "W" for clams, "D2" for apple snails and "Tibia" for mayflies. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Fig. 9 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 9. Box-plot of invertebrates AFDW/DW. Significance values (p) of Mann-Whitney pairwise comparisons are showed on the lower-right side. P-values: * p= 0.01-0.05; ** p<0.01-0.001; *** p<0.001. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Fig. 8 in Biometry of neotropical invertebrates inhabiting floodplain rivers: unraveling bionomy
Fig. 8. Values of slopes (=b) of regression equations obtained for metrics-DW relationships. Invertebrates were collected in the Paraná River floodplain from 2005 through 2014.
Figure 16 in Daphniola Radoman, 1973 (Gastropoda: Hydrobiidae): shell biometry, mtDNA, and the Pliocene flooding
Figure 16. The geography of the Mediterranean in the Late Miocene (Messinian salinity crisis; after Banarescu 1992) and the localities of the studied populations in the Recent.
Figures 2–13 in Daphniola Radoman, 1973 (Gastropoda: Hydrobiidae): shell biometry, mtDNA, and the Pliocene flooding
Figures 2–13. Shells of Daphniola. (2–6) D. exigua, Agia Paraskevi. (7–10) D. louisi, Kessariani. (11–13) D. graeca, Daphne spring. Scale bar: 0.5 mm
Figure 1 in Daphniola Radoman, 1973 (Gastropoda: Hydrobiidae): shell biometry, mtDNA, and the Pliocene flooding
Figure 1. Shell morphometry measurements: a, height of shell; b, width of body whorl; c, height of mouth; d, height of spire; e, width of mouth; 2, angle of spire.
Figure 15 in Daphniola Radoman, 1973 (Gastropoda: Hydrobiidae): shell biometry, mtDNA, and the Pliocene flooding
Figure 15. Phylogram computed with maximum likelihood, Grossuana codreanui and Bythinella austriaca as outgroup; bootstrap supports (10,000 replicates) given for all branches whose support exceeded 50%.
Figure 3 in Breeding review of Gray-hooded Gull Chroicocephalus cirrocephalus in Brazil with contributions on nests and egg biometry
Figure 3. (I) Gray-hooded Gull Chroicocephalus cirrocephalus attacking a Great egret Ardea alba in the Ubatuba lagoon; (II) C. cirrocephalus nesting; (III) First C. cirrocephalus nest with an egg inside and other fallen nearby (highlighted by the yellow circle) after predation attempt by Ardea alba; (IV) Second nest with two eggs in the Ubatuba lagoon, at Restinga de Jurubatiba National Park, Quissamã, on the northern coast of the Rio de Janeiro state.
Figure 2 in Breeding review of Gray-hooded Gull Chroicocephalus cirrocephalus in Brazil with contributions on nests and egg biometry
Figure 2. (I) Juvenile of Gray-hooded Gull (Chroicocephalus cirrocephalus) in Visgueiro lagoon, on December 5th, 2019. (II) Adults with breeding plumage on April 14th, 2019. Both images from Restinga de Jurubatiba National Park, in Quissamã, on the northern coast of the Rio de Janeiro state.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.