Search Constraints
Filtering by:
Depositor ssim
jakecar@umich.edu
Remove constraint Depositor ssim: jakecar@umich.edu
Type
Collection
Remove constraint Type: Collection
1 - 5 of 5
Number of results to display per page
View results as:
Search Results
-
S’Urachi Site-Based Archaeological Survey
User Collection
- Creator:
- Gosner, Linda R.
- Description:
- 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.
- Keyword:
- Mediterranean archaeology, Sardinia, Archaeological Survey, Excavation, and Classical Archaeology
- Discipline:
- Social Sciences
2Works -
Lu-177 DOTATATE Anonymized Patient Datasets
User Collection
- Creator:
- Dewaraja, Yuni K and Van, Benjamin J
- Description:
- This collection is comprised of a number of works that collectively represent the imaging studies and information necessary for dosimetric analysis of a patient treated with Lutathera. All works may be used as standalone datasets or in conjunction with the others in this collection depending on the analysis performed. Files are stored using the DICOM standard widely accepted for storage and transmission of medical images and related information. All patient private information has been anonymized using MIM commercial software (MIM Software Inc.). Data from 2 patients, referred to as patient 4 and patient 6, has been provided in this collection and is divided among 6 works as outlined below:, 1) Pre-Therapy Diagnostic Images. Description: Patient diagnostic scans performed prior to Lutathera treatment. Used for identifying lesions and measuring progression. Note that the date of the baseline scan may be several months before the Lutathera treatment and changes in the anatomy are possible. Files: (1) Ga68 Dotatate PET/CT, Either: (1) MRI, (1) standalone diagnostic CT, 2) Planar Whole Body Scans. Description: Planar whole body Lu-177 scans taken at 4 time points within a week after treatment. Two views (Anterior and Posterior) and 3 energy windows (one main window at 208 keV and 2 adjacent scatter windows) are available for each time point. The units of this image is counts. Energy window information, acquisition data/time and duration can be found in DICOM header. Files: (6) individual images at each time point (24 total images per patient) , 3) SPECT/CT Scans. Description: Lu-177 SPECT/CT scans at 4 time points within a week after treatment (same time points as the planar scans). Images were acquired on a Siemens Intevo system and reconstructed using xSPECT Quant. The units of this image is Bq/mL. Information on the reconstruction, acquisition date/time, duration, Lu-177 administration time and activity can be found in the DICOM header. Files: (1) Folder with reconstructed SPECT slices per time point (4 folders total per patient), (1) Folder containing co-registered CT slices per time point (4 folders total per patient), 4) Lesion and Organ Volumes of Interest. Description: DICOM RT structure files containing organ and lesion volumes of interest (VOI) that were defined on the CT of the scan1 SPECT/CT in 3). Organs were defined using semi-automatic tools (atlas based and CNN-based) while lesions were defined manually by a radiologist guided by baseline scans. Only lesions >2 cc were defined. Files: (1) File containing organ contours, (1) File containing lesion contours, 5) Time Integrated Activity Maps. Description: A DICOM file containing the time-integrated activity map over all 4 time points within a week after treatment. This combines the SPECT/CT scans provided in 3) into a single integrated activity map. This map was generated via the MIM MRT Dosimetry package: The 4 time points were registered to the reference SPECT scan (time point 1) using a contour intensity based SPECT alignment and the voxel-level time-activity data was fit using exponential functions. Voxel-level integration was performed to generate the TIA map. The units of this image is Bq/mL * sec. Files: (1) Folder with Time-integrated activity image per patient, and 6) Projection Data and CT based Attenuation Coefficient Maps. Description: SPECT projection data for each of the 4 Lutathera scans taken within a week after treatment is provided in 3 forms: unaltered, Siemens [Reformatted], and Siemens [Advanced]. The difference between the Projections and the [Advanced] Projections is that the [Advanced] consists of uncorrected raw projection data and the other the corrected projection data (e.g. camera uniformity corrections). The [Advanced] projections are used in xSPECT reconstruction (where all corrections are done during the reconstruction), while the other is used in Flash 3D reconstruction. CT-based attenuation coefficient maps (mumaps) are provided for each of the 4 scans taken within a week after treatment. Two methods are provided for each mumap: xSPECT and F3D as the matrix size is different for the 2 cases (256 x 256 for xSPECT and 128 x 128 for Flash3D). Files: (3) Folders containing raw SPECT projections, (2) Folders containing CT attenuation coefficient maps (mumaps)
- Keyword:
- Lu-177, Lutathera, Dosimetry, Radionuclide, and CTMRIPET
- Discipline:
- Health Sciences
6Works -
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 -
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:
- Sun, Hu
- Description:
- Complete Global Total Electron Content Database based on the VISTA Algorithm
- Keyword:
- Total Electron Content, Matrix Completion, VISTA, Spherical Harmonics, and Spatial-Temporal Smoothing
- Discipline:
- Engineering
2Works