Our project, mainly on Dogon languages of Mali, has branched out to Burkina Faso with emphasis on documentation of the most endangered languages. Tiefo-N was studied on an emergency basis since it was down to two aging competent speakers. For additional comments and links to a reference grammar, see the readme file.
Jalkunan is an endangered language of the Mande family, spoken in the village cluster of Blédougou in southwestern Burkina Faso. The lexical work complements a published grammar with texts. See the readme for further information.
Jalkunan is a small-population Mande language spoken in Blédougou village cluster in the Banfora plateau in SW Burkina Faso.A grammar was published electronically at Language Description Heritage Library in 2017.
http://ldh.clld.org/2017/01/01/escidoc2346932/ This is backed up at Deep Blue documents. http://hdl.handle.net/2027.42/139025 http://dogonlanguages.org/other#mande Seven texts were recorded digitally in 2016 and are archived here. Three of them (texts 1, 2, and 4) were transcribed and translated at the end of the published grammar. The remaining tapes are not transcribed as of May 2018. I give permission to other linguists to transcribe, translate, and/or analyse the remaining texts.
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
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".
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.
The research that produced this data tested how sleep loss impacted the phenomena of reactivation and replay, which occurs when recently-learned information is reactivated/replayed during post-learning sleep/rest.
This collection contains estimates of the water balance of the Laurentian Great Lakes that were produced by the Large Lakes Statistical Water Balance Model (L2SWBM). Each data set has a different configuration and was used as the supplementary for a published peer-reviewed article (see "Citations to related material" section in the metadata of individual data sets). The key variables that were estimated by the L2SWBM are (1) over-lake precipitation, (2) over-lake evaporation, (3) lateral runoff, (4) connecting-channel outflows, (5) diversions, and (6) predictive changes in lake storage. and Contact: Andrew Gronewold
Office: 4040 Dana
Phone: (734) 764-6286
Email: drewgron@umich.edu
Smith, J. P., & Gronewold, A. D. (2017). Development and analysis of a Bayesian water balance model for large lake systems. arXiv preprint arXiv:1710.10161., Gronewold, A. D., Smith, J. P., Read, L., & Crooks, J. L. (2020). Reconciling the water balance of large lake systems. Advances in Water Resources, 103505., and Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (under revision)
This data was produced by the site-based archaeological survey at the nuraghe S'Urachi in west-central Sardinia (San Vero Milis, Oristano, Sardinia). The survey was carried out from 2015-2017 as a part of the ongoing Progetto S'Urachi, an archaeological project that aims to understand daily life around the monumental Bronze Age tower of S'Urachi during the later occupation of the landscape over the course of the 1st millennium BCE.