This is the flora-fauna lexical material obtained in the course of more general lexical and grammatical fieldwork on languages of central-eastern Mali (Dogon, Songhay, Bangime, Bozo). The spreadsheets in this work, duplicated in xlsx and csv formants, present our flora-fauna lexicons as of early 2019 for many languages of central-eastern Mali, and certain languages of southwestern Burkina Faso. The Malian data is in two spreadsheets (flora, fauna), while the Burkina data is in separate spreadsheets for flora, birds, fish, insects, lizards and snakes, and mammals. Please begin with the “readme” document.
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. https://dogonlanguages.org and Christfried Naumann & Tom Güldemann & Steven Moran & Guillaume Segerer & Robert Forkel (eds.) 2015. Tsammalex: A lexical database on plants and animals. Leipzig: Max Planck Institute for Evolutionary Anthropology. https://tsammalex.clld.org
The spreadsheets (in csv and xlsx formats) have columns for botanical family, genus-species binomials, synonymy (outdated binomials) on the left, folllowed by columns with native terms in several Dogon languages and in Bangime. Dogon languages included are Toro Tegu, Ben Tey, Bankan Tey, Nanga, Jamsay (main dialect), Perge Tegu (Jamsay of Pergé village), Gourou (aberrant variety of Jamsay), Togo Kan, Yorno So and Ibi So (in Toro So dialect complex), Donno So, Tomo Kan (of Segué and of Diangassagou), Tomo Kan, Dogul Dom, Tebul Ure, Yanda Dom, Najamba, Tiranige, Mombo, Ampari, Bunoge, and Penange. JH in column headings indicates that the material is from Dr. Heath's fieldwork. and For images of many of these plants, see the collection "Mali flora images" in Deep Blue Data ( https://doi.org/10.7302/aef4-fk26). For a practical guide to these plants, click on the link below in "related items in Deep Blue Documents".
The four specimens (GSI SR/YS/1, GSI SR/YS/2, GSI SR/YS/3, and GSI SR/YS/4) are identified as tail clubs that are attributed to the basal sauropod Kotasaurus yamanpalliensis. The specimens were collected by the Geological Survey of India Southern Region (GSI SR) and, in 2018, the specimens were studied as a collaboration between GSI SR and the University of Michigan Museum of Paleontology. The specimens are housed in the collections of the GSI SR (Hyderabad, India).
Kareem, T. A., S. Chakraborty, and J. A. Wilson Mantilla. (in prep.) Sauropod tail clubs from the Kota Formation (Early to Middle Jurassic) of India and their implications for early sauropod evolution. Journal of Vertebrate Paleontology
Ultraviolet (UV) wavelengths invisible to humans are primarily studied in the context of reproduction and social signaling. This narrow focus can arise from bias in taxa studied, which are often brightly colored in human-visible wavelengths. Our research describes undocumented UV color patterns across 110 diverse species of Western Hemisphere snakes and tests the hypothesized roles of reproduction versus predator avoidance in the evolution of UV coloration. Phylogenetically-informed tests of life stage, sex, and habitat showed unexpected support for the predator defense hypothesis, with pronounced differences in snake conspicuousness explained by UV coloration. UV reflectance was not predictable from any aspect of visible color pattern, suggesting high potential for transformative discoveries in other “cryptically-colored” lineages across the tree of life.
The matlab code, digital elevation data, and landslide volume data here support the findings of Medwedeff et al. (2024) in JGR: Earth Surface. In this article, we study past landslides to understand how the strength of rocks and soil vary across the landscape and below the ground. We develop a matlab-based model that uses the length, width, slope angle, and thickness of landslides that have occurred in the past to estimate how strong the rock or soil was before it gave way. We improve upon previous studies by using elevation data from before and after landslides occurred to measure how thick the sliding mass was for each landslide. The thickness measurements help us understand how the strength of the ground changes as a function of depth below the surface, like for example, when rocks get weaker near the surface due to increased weathering. We apply our model to landslides that occurred during earthquakes in Greece and Nepal, and we compare the results to rock strength field data. In addition to our model code, we include in this data repository the landslide volume and elevation data for Nepal and Greece that we used to run our model for this study.
Medwedeff, W.G., Clark, M.K., Zekkos, D. (in review 2024) Regional Back-Analysis of Earthquake Triggered Landslide Inventories: a 2D Method for Estimating Rock Strength from Remote Sensing Data. In review in JGR Earth Surface.
These materials are SPSS datasets and syntax files related to a project investigating the weight given to various moral domains when forming impressions of others. We looked at how participants' impressions of the moral character of social targets varied when provided with information that those targets behaved in ways that upheld or violated various moral domains. Following this, we also looked at whether participants' willingness to cooperate with a target changed based on those behaviors, and whether judgments following information about the social targets remained robust under cognitive load.
