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- Creator:
- Vani Archaeological Survey
- Description:
- In 2009, an American-Georgian team of four archaeologists, four archaeology students, and a geophysicist carried out a four-week season of “extensive” survey of known archaeological sites, together with geophysical prospection at selected locations. In a second four-week season in 2010, with the additions of a geologist and an archaeobotanist, we continued our program of documentation of known sites and of exploratory geophysical prospection, and we also carried out limited test excavations at a number of sites. We returned for a shorter (one- to two-week) study seasons in 2011 and 2014, focusing on museum and archival research in Vani, Kutaisi, and Tbilisi., The area covered by our survey extends 15 km both east and west of Vani, and as far as 10 km south of Vani, from the Phasis River plain at approximately 50 m above sea level to the lower slopes of the lesser Caucasus, at approximately 1000 m above sea level. The purpose of the program was to visit all the previously identified archaeological sites in the region, and to integrate existing knowledge into a database of sites and a Geographical Information System. Each entry into this database is recorded as a dataset in this deposit. Entries recorded in 2009 are prefaced with the letter “A,” those recorded in 2010 are prefaced with the letter “B.” A single entry added in 2011 received the preface, “C.” In carrying out the survey, we depended heavily on the unpublished dissertation by Sulkhan Kharabadze, “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD) (Ph.D. dissertation: Georgian Technical University 2008). A map showing the locations of all the sites recorded by the survey is attached to this dataset., Our procedure for each site visit was as follows: we drove to the nearest village and searched out a local guide who could take us to the place we wished to see. We drove as far as we could to each site, then got out and walked, using GPS-equipped field computers (Trimble Geo-XM) to make a continuous record of our path. We recorded the lay of the land and any artifacts we saw en route (pottery sherds, traces of burnt daub, lithics and stone objects, architectural features in situ). We designated as points of interest any significant archaeological remains (concentrations of pottery, in situ features, notable stray finds, etc.), and every place we could identify where earlier discoveries had been made or archaeological excavations carried out. For every point of interest, we recorded the latitude, longitude, and elevation; took a series of digital photographs; and made a grab bag collection of pottery and other finds if possible. Where appropriate, we took basic measurements of architectural features (e.g., of Mediaeval towers). We also kept records of local place names, the names of our local guides, and any miscellaneous information they gave us. , Certain sites were selected for further investigation. These included Saqanchia A001, where we carried our geophysical survey and limited excavation; Shuamta, Melashvilebisgora A033, where we also carried out geophysical survey and limited excavation; Kveda Bzvani A047, where we carried out controlled collection of surface finds; and Zeda Bzvani, Meskhebisgora, A053, where we also carried out controlled collection of surface finds., The datasets recorded in this deposit include basic descriptions of each site, citations to previous publications, and links to relevant maps, photographs, and drawings. Where they exist, maps for individual datasets are labeled according to the name and number of the site, e.g., DapnariA002Map.jpg. The labels for photographs taken during the field season record their numbers in the sequence of photographs taken that season, e.g., Vani09.0047.jpg. A complete list of all photographs recorded in this way is available for download. Photographs and drawings of artifacts from individual sites made after the season are labeled with the names of the sites followed by the numbers assigned to the objects, with photographs saved as jpeg files, and drawings saved as tiff files; thus KvedaBzvani11-14.jpg is a photograph of objects 11-14 from the site of KvedaBzvani, while KvedaBzvani11-14.tif is a set of drawings of the same objects. Finally, drawings of sites where excavations were carried out are labeled with the name of the site, the number of the trench (if applicable), and the type of drawing, so that Shuamta2010.1Plan is a plan of Trench 2010.1 at Shuamta., and In addition, the collections in this deposit group datasets together according to important characteristics such as period (Bronze Age, Iron Age, etc.) or type (settlement, fortification, burial, and so on).
- Citation to related publication:
- Kharabadze, S.(2008). “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD). (Ph.D. dissertation).Georgian Technical University.
- Discipline:
- Social Sciences and Humanities
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- Creator:
- Galaty, Michael L. and Bejko, Lorenc
- Description:
- This work contains documentation for the entire Projekti Arkeologjik i Shkodrës (PASH) data set, which has been organized into a series of collections and works in the Deep Blue Data repository to facilitate access and navigation. The data presented here accompany a two-volume research report, published by the University of Michigan Museum of Anthropological Archaeology Press (Galaty and Bejko 2023--see below).
- Keyword:
- archaeology
- Citation to related publication:
- Galaty, M. L., & Bejko, L. (Eds.). (2023). Archaeological Investigations in a Northern Albanian Province: Results of the Projekti Arkeologjik i Shkodrës (PASH) (Vol. 1). University of Michigan Press. https://doi.org/10.3998/mpub.12201317 and Galaty, M. L., & Bejko, L. (2023). Archaeological Investigations in a Northern Albanian Province: Results of the Projekti Arkeologjik i Shkodrës (PASH) (Vol. 2). University of Michigan Press. https://doi.org/10.3998/mpub.12208577
- Discipline:
- Humanities
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Vani Region Archaeological Survey
User Collection
- Creator:
- Ratte, Christopher and Mokrisova, Jana
- Description:
- The data presented here were collected in the course of an archaeological survey of the region around Vani in the Republic of Georgia, carried out between 2009 and 2011, with follow-up visits in 2014 and 2017. The survey was sponsored by the University of Michigan, the Institute for the Study of the Ancient World at New York University, and the Otar Lordkipanidze Institute of Archaeological Research in Tbilisi. , The archaeological site of Vani lies in the territory of ancient Colchis, a triangular area bordered by the Black Sea to the west and by the greater and lesser Caucasus Mountains to the north and south – famous in Greek legend as the land of the Golden Fleece and the home of Medea. Vani itself is situated approximately 70 km inland, in the foothills of the lesser Caucasus. A regional culture recognizable on the evidence of distinctive traditions of pottery and metalworking and the appearance of a network of relatively large settlements had emerged in Colchis by the late second and early first millennia BC. , Vani is one of the most extensively studied archaeological sites in Colchis. Excavations have revealed a continuous occupation sequence extending from the 8th to the 1st centuries B.C. Especially notable are the rich and unusual graves of the Classical period (6th-4th centuries), the monumental stone architecture of the Hellenistic period (3rd to 1st centuries), especially fortifications enclosing an area of approximately 6 ha, and the extensive evidence for interaction with the Mediterranean and Near Eastern worlds, including not only commercial and luxury imports (Greek transport amphorae, fine bronze and silver utensils from both the Greek world and Persia), but also local production of bronze sculpture and one long Greek bronze inscription., In spite of the richness of the site, however, important questions about its purpose and function over time remain unresolved. How extensive was the ancient settlement? Was Vani an isolated stronghold, a regional population center, a sanctuary, or a combination of two or all three? How does it compare with other sites in Colchis? In addition to ongoing research at Vani itself, regional survey provides an obvious approach to some of these questions. In previous years, examination of a number of outlying sites had already yielded remains extending in date from the Early Bronze Age to the mediaeval period., and The purpose of the regional survey project begun in 2009 was to integrate existing knowledge about Vani and environs into the kind of technological and conceptual framework characteristic of contemporary American survey archaeology. Of particular importance was the use of Geographical Information Systems (GIS) as an organizational and analytical tool, and of geophysical prospection both in the immediate environs of Vani and at regional sites. Like all regional surveys, our project recorded evidence of all periods, from prehistory to the present day, but we were particularly interested in questions having to do with the increasing social complexity of Colchis in the mid- and later 1st millennium BC – when Greek explorers began to establish colonies on the Black Sea coast of Georgia, and the Persian empire pushed up against the mountains of the Caucasus. What was the nature of Colchian society in this period? How was it affected by interaction with the larger Greek, Persian, and Pontic worlds? And how can regional survey at Vani and throughout Colchis help us to address these questions?
- Keyword:
- Classical Archaeology, Fortifications, Churches, Sanctuaries, Quarries, Modern Settlements, Settlements, and Burials
- Discipline:
- Humanities
25Sub-collections1Works -
- Creator:
- Bradshaw, Lisa, Vernon, Julianne, Schmidt, Thomas, James, Timothy, Zhang, Jianzhi, Archbold, Hilary, Cadigan, Ken, Wolfe, John P., and Goldberg, Deborah E.
- Description:
- This is the experimental data referenced in our manuscript entitled "Influence of CUREs on STEM retention depends on demographic identities." The dataset comprises csv files with results from student surveys given to students enrolled in Biology 173 from Fall 2015 through Fall 2019 as well as institutional data of their course grades and cumulative GPA at the time they enrolled in Biology 173, and graduation and major data for student who had graduated by 2021. The survey questions used in the analysis and the IRB consent form are also included as pdfs.
- Keyword:
- undergraduate research, STEM retention, CURE, introductory biology laboratory, and education research
- Citation to related publication:
- Bradshaw, L., Vernon J., Schmidt T., James T., Zhang J., Archbold H., Cadigan K., Wolfe J.P. & Goldberg D. 2023. Research article: Influence of CUREs on STEM retention depends on demographic identities. J Microbiol Biol Educ (accepted)
- Discipline:
- Science
-
- Creator:
- Salaree, Amir, Spica, Zack, and Huang, Yihe
- Description:
- The items in this bundle are supporting videos to a study of subsea seismo-acoustics carried out regarding an earthquake in the Persian Gulf. The main data used in the study is a diver's recording of the acoustic waves from the earthquake. The epicenter and topography data used in this study are publicly available as cited in the README.txt file.
- Keyword:
- Seismo-acoustics, Persian Gulf, Divers’ Microphones, Seismic Hazard, Early Warning
- Discipline:
- Science
-
- Creator:
- Limon, Garrett C.
- Description:
- The work guides the processing of CAM6 data for use in machine learning applications. We also provide workflow scripts for training both random forests and neural networks to emulate physic s schemes from the data, as well as analysis scripts written in both Python and NCL in order to process our results.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulation
- Citation to related publication:
- Limon, G. C., Jablonowski, C. (2022) Probing the Skill of Random Forest Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations [Pre Print]. ESSOAr. https://10.1002/essoar.10512353.1
- Discipline:
- Engineering and Science
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Resources for Training Machine Learning Algorithms Using CAM6 Simple Physics Packages
User Collection
- Creator:
- Limon, Garrett
- Description:
- The collection contains the code and the data used to train machine learning algorithms to emulate simplified physical parameterizations within the Community Atmosphere Model (CAM6). CAM6 is the atmospheric general circulation model (GCM) within the Community Earth System Model (CESM) framework, developed by the National Center for Atmospheric Research (NCAR). GCMs are made up of a dynamical core, responsible for the geophysical fluid flow calculations, and physical parameterization schemes, which estimate various unresolved processes. Simple physics schemes were used to train both random forests and neural networks in the interest of exploring the feasibility of machine learning techniques being used in conjunction with the dynamical core for improved efficiency of future climate and weather models. The results of the research show that various physical forcing tendencies and precipitation rates can be effectively emulated by the machine learning models.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulators
- Discipline:
- Science and Engineering
2Works -
- Creator:
- Limon, Garrett C.
- Description:
- The data represents weekly output from three 60-year CAM6 model runs. The output includes state (.h0. files) and tendency (.h1. files) fields for three difference model configurations of increasing complexity. State fields include temperature, surface pressure, specific humidity, among others; while tendencies include temperature tendencies, specific humidity tendencies, as well as precipitation rates. Using the state variables at a given time step, machine learning techniques can be trained to predict the following tendency field, which can then be applied to the state variables to provide the state at the next physics time step of the model.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulation
- Citation to related publication:
- Limon, G. C., Jablonowski, C. (2022) Probing the Skill of Random Forest Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations [Preprint]. ESSOAr. https://10.1002/essoar.10512353.1
- Discipline:
- Engineering and Science
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for Right innominate (acetabulum region) of Remingtonocetus domandaensis (University of Michigan Museum of Paleontology catalog number GSP-UM 3408) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Paleontology, Fossil, CT, Remingtonocetidae, UMMP, University of Michigan Museum of Paleontology, Eocene, and Geological Survey of Pakistan (GSP)
- Discipline:
- Science
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for phalanx (pathological) of phytosaur (University of Michigan Museum of Paleontology catalog number UMMP VP 13838) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Paleontology, Fossil, CT, Phytosauria, UMMP, University of Michigan Museum of Paleontology, Triassic, and e06c6866-4cba-4532-2a68-d8e3357a674e
- Discipline:
- Science