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From optimality to prestige: Investigating human-animal interactions at Late Mesolithic Hoge Vaart-A27 (Almere, the Netherlands) using a Prey Choice Model
<h2><strong>This dataset is from my Research Master's Thesis from Groningen University. </strong></h2> <p><strong>The dataset includes;</strong></p> <ul> <li>The CSV data necessary to recreate all models and graphs from the thesis</li> <li>The R.Script with all codes</li> </ul> <p><strong>Used packages and programming language: </strong></p> <ul> <li>Kassambara, A. (2023). ggpubr: ‘ggplot2’ Based Publication Ready Plots (R package version 0.6.0) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://doi.org/%3Chttps://CRAN.R-project.org/package=ggpubr%3E."> <https://CRAN.R-project.org/package=ggpubr>.</a></li> <li>Mei, W., Yu, G., & Greenwell, B. M. (2022). ggtrendline: Add Trendline and Confidence Interval to ‘ggplot’ (R package version 1.0.3) [R; Rstudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=ggtrendline"> https://CRAN.R-project.org/package=ggtrendline</a></li> <li>Pedersen, T. L. (2024). patchwork: The Composer of Plots (R package version 1.2.0) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://cran.r-project.org/package=patchwork"> https://CRAN.R-project.org/package=patchwork</a></li> <li>R Core Team. (2022). R: A Language and Environment for Statistical Computing (R version 4.2.1) [R; RStudio]. R Foundation for Statistical Computing.<a href="https://www.r-project.org/"> https://www.R-project.org/</a></li> <li>Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. Chapman and Hall/CRC.</li> <li>Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.<a href="https://ggplot2.tidyverse.org"> https://ggplot2.tidyverse.org</a></li> <li>Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686.<a href="https://doi.org/10.21105/joss.01686"> https://doi.org/10.21105/joss.01686</a></li> </ul> <p><strong><span>Abstract</span></strong></p> <p><em><span>The research of the faunal assemblage from Hoge Vaart-A27 (Almere, the Netherlands) provides a new perspective on investigating the connections between foraging strategies and socio-cultural dynamics of the Late Mesolithic and Early Swifterbant communities in Northwest Europe. The significance of this topic lies in its potential to help elucidate the broader socio-cultural aspects of foraging and human-animal interactions during this period. Despite extensive research, there remains a gap in comprehending how prestige influenced prey selection alongside optimal foraging strategies. The study aims to address this gap by employing zooarchaeological methods combined with prey choice modelling to investigate prey selection complexities in Flevoland’s transitioning cultural and physical landscape. The methods include analyses of species abundance and detailed examination of red deer, horse, aurochs and wild boar. The key findings reveal that while (optimal) foraging strategies were practised at Hoge Vaart-A27, they were significantly influenced by motivations such as prestige. The results contribute significantly to research by offering a glimpse into how Northwest European foragers could have perceived and interacted with big game beyond subsistence. </span></em></p> <p><strong><span>Keywords</span></strong><span> </span><span>human-animal relationships, prestige, profitability, prey choice, Swifterbant Culture, optimal foraging theory, costly signalling theory</span></p>
Fig. 3 in Habitat Preference And Prey Selection Of Marsh Harrier (Circus Aeruginosus) In Overwintering Area Of Southeast China
Fig. 3. Abundances of passerines (), pheasant () and marsh harrier (+) of the four years in the four habitats in Shahu Nature Reserve, China, with line transects 2000 m × 200 m (A, autumn; W,
Fig. 2 in Habitat Preference And Prey Selection Of Marsh Harrier (Circus Aeruginosus) In Overwintering Area Of Southeast China
Fig. 2. Wintering marsh harrier's abundance in different habitats in Shahu Nature Reserve, China in autumn and winter of 2001, 2003, 2004 and 2006
Fig. 1 in Habitat Preference And Prey Selection Of Marsh Harrier (Circus Aeruginosus) In Overwintering Area Of Southeast China
Fig. 1. Shahu Nature Reserve (SNR, autumn and winter). The up left shows the location of SNR; HB, Hubei Province; BWH, Beiwu Lake; NWH, Nanwu Lake; DC, Daocao Lake; DJ, Dongji River; YR, Yangtze River
Fig. 2 in Spatial Variation In Prey Composition And Its Possible Effect On Reproductive Success In An Expanding Eastern Imperial Eagle (Aquila Heliaca) Population
Fig. 2. Cluster analyses of imperial eagle breeding areas based on prey composition data. Region codes are presented in Fig. 1. Codes with bold characters represent mountainous habitats. The single breeding pair of the Cserehát Mountains was excluded from the analysis, because of low sample size
Fig. 3 in Spatial Variation In Prey Composition And Its Possible Effect On Reproductive Success In An Expanding Eastern Imperial Eagle (Aquila Heliaca) Population
Fig. 3. Frequency of the three main prey species (a-c) and reproductive success (d) of imperial eagles in two East-Hungarian regions. Boxplots presents the minimum-maximum (whiskers), lower and upper quartiles (box) and the median (line) of the data. Dots are outliers. Significance of difference is in-
FIGURE 6 in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 6. Morphological traits of the basihyal and thyrohyal among the Chaeomysticeti separated by prey types. Boxes gray in colour are extinct baleen whales, which ID number 4, 8, 11, 33, 40, 53, 61, 70 in Table 2 are used here. Piscobalaena nana shows two different types of phylogenetic hypotheses (see in cladogram section).
FIGURE 5 in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 5. Same results as in Figure 4 with 90% confidence intervals for combinations of prey capture tactics and prey types. Numbers and letters are IDs and abbreviations of scientific names (see Table 2).
FIGURE 4 in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 4. The results of principal component analysis. Ovals represent 90% confidence intervals for prey types of the extant taxa. Diagrams of the shape changes in the positive directions are given along each axis. Numbers and letters are IDs and abbreviations of scientific names (see Table 2).
FIGURE 3 in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 3. Outlines of analyzed true baleen whale specimens. Numbers are given in Table 1 and Appendix 1. Abbreviations mean prey capture tactics (Sk: Skim, Mu: Multiple, Lu: Lunge) and prey types (Sm: Small, Bo: both large and small prey, La: Large, Un: Unknown).
FIGURE 2 in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 2. Example semi-landmark in the ventral view of the basihyal and thyrohyal with anatomical terms. The one of Balaenoptera musculus number 66 in Table 1 is used. The origins for the muscles were modified from Schulte (1916) with minor modification following Reidenberg and Laitman (1994) on the omohyoid muscle insertion.
FIGURE 1. A in A feeding organ the basihyal and thyrohyal tells which size of prey do true baleen whales (Cetacea, Chaeomysticeti) eat
FIGURE 1. A. Prey size of baleen whales modified from Gaskin (1982) with prey information in Jefferson et al. (2008). B. Modern baleen whale phylogeny and information of prey types + prey capture tactics. Phylogeny was combined the tree of the Balaenopteridae in Rosel et al. (2021) and the tree in Steeman et al. (2009) for the relationships of others.
Fig. 1 in Effect of water temperature and prey concentrations on initial development of Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae), a freshwater fish
Fig. 1. Total length of Lophiosilurus alexandri after 15 days of exogenous feeding. The graph "A" and "B" showed the best temperature for the prey concentration P 700 and P 1,300, respectively.
Fig. 2 in Effect of water temperature and prey concentrations on initial development of Lophiosilurus alexandri Steindachner, 1876 (Siluriformes: Pseudopimelodidae), a freshwater fish
Fig. 2. Mean body weight of Lophiosilurus alexandri after 15 days of exogenous feeding. Different letters represent significant differences (P<0.05) among temperatures (a, b, c and d) and prey concentrations (x and y).
Figure 1. A in The predator becomes the prey: the katydid Erechthis gundlachi Bolívar, 1888 (Orthoptera: Tettigoniidae) feeding upon the Cuban lizard Anolis homolechis (Cope, 1864) (Squamata: Dactyloidae), with some notes on Hispaniolan Erechthis Bolívar, 1888
Figure 1. A. Male of Anolis viridius Köhler & Blair Hedges, 2016 preying upon Erechthis ayiti at Polo, Bahoruco, southwestern Dominican Republic. B. Female of Anolis cyanostictus Mertens, 1939 preying upon a juvenile female unidentified Conocephalinae at National Botanical Garden, Santo Domingo, southern Dominican Republic. Photos courtesy Fr. Alejandro Sánchez.
Figure 2. Adult female Erechthis gundlachi predating upon a in The predator becomes the prey: the katydid Erechthis gundlachi Bolívar, 1888 (Orthoptera: Tettigoniidae) feeding upon the Cuban lizard Anolis homolechis (Cope, 1864) (Squamata: Dactyloidae), with some notes on Hispaniolan Erechthis Bolívar, 1888
Figure 2. Adult female Erechthis gundlachi predating upon a juvenile male Anolis homolechis at La Gran Piedra, Santiago de Cuba, southeastern Cuba: A. Photographed at nature when found. B. Photographed after preservation, with millimetric scale for reference.
Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019 in Documented Evidence Of Habitation For The Sika Deer, The Amur Leopard Cat And The Striped Field Mouse In The Bikin National Park (Russia)
Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019
Fig. 1 in Living with the enemy: activity rhythms of the red fox Vulpes vulpes (Carnivora, Canidae) and some potential preys in an urban environment
Fig. 1 - Satellite view of the municipal area of Padua and location of the camera traps. / Immagine satellitare del territorio comunale di Padova e posizione delle trappole fotografiche (Image/Immagine: Google Satellite).
Fig. 2 in Living with the enemy: activity rhythms of the red fox Vulpes vulpes (Carnivora, Canidae) and some potential preys in an urban environment
Fig. 2 - Temporal activity overlap between the red fox and its potential preys. The shaded area under the two density estimates represents the overlap coefficient. / Sovrapposizione dell'attività temporale tra la volpe rossa e le sue potenziali prede. L'area ombreggiata sotto le due stime di densità rappresenta il coefficiente di sovrapposizione.
Fig. 2 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 2 Frame shots showing the four feeding modes in the smooth newt. In the aquatic stage: a suction feeding under water and b jaw prehension on land. In the terrestrial stage: c suction feeding under water and d tongue prehension on land. The prey (maggot) is indicated by the arrow.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
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.