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48 results for “Pica pica”

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Рис. 1. Яйцо скаΛьного гоΛубя (Columba rupestris), вероятно, раскΛёванное сорокой (Pica pica) и обнаруженное в окрестностях c. НовоникоΛьск (Уссурийский гороΔской округ). 12.01.2019. Фото Ю. Н. ГΛущенко in Winter Nesting Of The Rock Pigeon In Primorsky Krai

Рис. 1. Яйцо скаΛьного гоΛубя (Columba rupestris), вероятно, раскΛёванное сорокой (Pica pica) и обнаруженное в окрестностях c. НовоникоΛьск (Уссурийский гороΔской округ). 12.01.2019. Фото Ю. Н. ГΛущенко

opencc-by-4.0Jul 2019View details →
zenodo40/100

Fig. 11 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 11 Rates of chatter calls in different magpie populations and individuals. a Each mark represents average chattering rate for a single bird from five populations indicated by colours. Figures are numbers for the outliers: 1, 2—jankowskii from the mixed population of Argun'; 3, 4, 5—hybrid birds from the hybridogeneous population of Kerulen. b Each mark represents average chattering rate for a series of chatterings of one selected individual representing jankowskii, leucoptera, and hybrid birds, respectively. Green mark—pair #6 jankowskii from Vladivostok; gray—pair #43 leucoptera from Tsasuchei, Transbaikalia; blue—pair #24 hybrids from Kerulen, eastern Mongolia. X-axis—number of elements per second in a total series of chattering; Y-axis— number of elements per second in a series of 5 elements of chattering

opencc-by-4.0Jul 2022View details →
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Fig. 12 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 12 Violin plot diagram of the chatter call speed (elements per second) of Eurasian magpie populations across regions. X-axis presents a set of populations; Y-axis—elements per second. Box outlines the interquantile range (25%, 75%), whiskers represent range without outliers, central bar is the median, red dot is the mean, and figure shape is the probability density. The brackets on the top denote statistically significant pairwise differences (GamesHowell test, p<0.05)

opencc-by-4.0Jul 2022View details →
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Fig. 9 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 9 Population genetic structure based on unlinked SNP markers. Scatter plots of principal component analysis (PCA) show individual variation in components one and two (a) and three and four (b). The amount of variance explained by each PC is shown in parentheses. I—leucoptera,

opencc-by-4.0Jul 2022View details →
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Fig. 7 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 7 Bayesian skyline plots (BSPs) for effective female population sizes for haplogroups, subspecies, and populations of Pica pica. a Comparison of 6 haplogroups, depicted in the network Fig. 4. b Comparison of 6 subspecies. c Comparison of 4 populations of P. p. jankowskii. d Comparison of 3 populations of P. p. leucoptera.

opencc-by-4.0Jul 2022View details →
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Fig. 6 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 6 Mismatch distribution of nucleotide differences in populations representing different haplogroups as at Figs. 4 and 5. X-axis— number of nucleotide differences; Y-axis—proportion (frequency). Solid lines—expected distributions (under expectation of population growth); dashed lines—observed distributions. a Haplogroup 1:

opencc-by-4.0Jul 2022View details →
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Fig. 5 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 5 Time-calibrated Bayesian tree based on mitochondrial control region sequences of Pica pica. Numbers at the branches indicate Bayesian posterior probability values (left) and bootstrap values of the ML analysis (right, in percent). Triangle widths are proportional to specimen numbers. Blue bars next to nodes indicate 95% credibility intervals for their age estimates. The figures in bold and the time scale below are in million years (Ma) before present

opencc-by-4.0Jul 2022View details →
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Fig. 4 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 4 Phylogenetic medianjoining network based on 256 mitochondrial control region sequences. Sizes of circles correspond to the number of birds sharing this haplotype; branch lengths are proportional to the number of substitutions and those over 2 are shown at the branches. Haplogroups 1–6 are indicated by numbers

opencc-by-4.0Jul 2022View details →
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Fig. 2 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations

Fig. 2 Map of sampling localities for mitochondrial DNA analysis in the zone of contact between Pica pica leucoptera and Pica pica jankowskii. Distribution of haplotypes is indicated by colours: Pica

opencc-by-4.0Jul 2022View details →
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Figure 4 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 4. (A) Current distribution of the Maghreb magpie in North Africa, (B) binary map of habitat suitability with a threshold> 0.6.

opencc-by-4.0Jul 2024View details →
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Figure 6 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 6. Response curves of the explanatory variables included in the species distribution model (SDM) for Pica mauritanica. (MTWQ: mean temperature of wettest quarter).

opencc-by-4.0Jul 2024View details →
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Figure 5 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 5. Two-dimensional plots of Pica mauritanica niche hypervolume with the most influential variables.

opencc-by-4.0Jul 2024View details →
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Pica-pau

Woody Woodpecker plush doll gifted to Alessandro by his aunt when he was five. She got it in a kid's meal from an arab fast food restaurant. He watched a lot of Woody's cartoons on DVD because she rarely let him play outside, afraid for his safety. He used to leave the Vila only to inflate his bike tires in a workshop nearby. Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2018View details →
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Figure 1 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 1. The distribution of Pica mauritanica throughout North Africa.

opencc-by-4.0Jul 2024View details →
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Figure 3 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 3. Variable importance (based on correlation metric) of the ensemble model.

opencc-by-4.0Jul 2024View details →
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Shortgrass Steppe site, station USGS Breeding Bird Survey Route 17305, Nunn, CO, study of animal abundance of Pica hudsonia in units of numberPerSightingEffort on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains animal abundance of Pica hudsonia measurements in numberPerSightingEffort units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
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QUEM SOU EU? | Pica-pau-do-campo

<p>Curta-metragem, vinculado &agrave; serie &quot;Quem sou eu?&quot;,&nbsp;&nbsp;abordando&nbsp;a biologia e&nbsp;ecologia do pica-pau-do-campo (<em>Colaptes campestris</em>).&nbsp;Produto Fauna Brasil - UFF / Laborat&oacute;rio de Registro Audiovisual da Fauna Brasileira.</p>

opencc-by-4.0Jan 2019View details →
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Pica Baptismal. Sant Vicenç de Besalú

Laia Domingo Església Parroquial de Sant Vicenç de Besalú Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2020View details →
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Fig. 18 in New Data onCosmobaris Discolor(Boheman) andHypolixus pica(F.) (Coleoptera: Curculionidae) Associated withAmaranthus(L.) (Amaranthaceae)

Fig. 18. Relative abundance and stage distribution of Cosmobaris discolor in Amaranthus spinosus at Yeşilköy, Dörtyol District, Hatay Province, Turkey.

opennotspecifiedSep 2012View details →
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Figs. 13–17 in New Data onCosmobaris Discolor(Boheman) andHypolixus pica(F.) (Coleoptera: Curculionidae) Associated withAmaranthus(L.) (Amaranthaceae)

Figs. 13–17. Host plant and some biological stages of Hypolixus pica. 13) Amaranthus spinosus; 14) Pupa;

opennotspecifiedSep 2012View details →

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Allen Brain Atlas

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record