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Sanajeh indicus micro Computed Tomography (CT) data
User Collection
- Creator:
- Wilson Mantilla, Jeffrey A.
- Description:
- This collection includes computed tomography (CT) scans of the cranial remains of Sanajeh indicus, a Late Cretaceous snake from Gujarat, India. In addition to the holotype (described by Wilson et al., 2010), a referred specimen (Zaher et al., 2022) has been collected from Dholi Dungri. The holotype includes a 'cranial block' (GSI/GC/2903) and the referred specimen also includes a partial skull (GSI/GC/DD4). Both holotypic and referred specimens are housed in Geological Survey of India Palaeontology Division, Central Region in Nagpur, India. For assistance with access, please contact Dhananjay Mohabey ( dinomohabey@yahoo.com) or Bandana Samant ( bandanabhu@gmail.com). Casts of selected elements of Sanajeh indicus are available at the University of Michigan Museum of Paleontology.
- Discipline:
- Science
3Works -
- Creator:
- Lockhart, Nancy
- Description:
- GRAND is a five-year, cluster randomized controlled trial. The study is registered on ClinicalTrials.gov, [ID#: NCT04033003] and is a collaboration between University of Michigan in the United States and the Dodowa Health Research Center in Ghana. and The study setting for GRAND is four districts (Akwapim North, Yilo Krobo, Nsawam-Adoagyiri, and Lower Manya Krobo) within the Eastern Region of Ghana. Health facilities were selected based the number ANC registrants per month and average gestational age of women at registration in each facility. Facilities were then matched based on facility type, district, and number of monthly ANC registrants.
- Keyword:
- Antenatal care, Ghana, and Maternal health
- Discipline:
- Health Sciences and International Studies
2Works -
- Creator:
- University of Michigan Taubman College of Architecture & Urban Planning and University of Michigan College of Literature, Science, and the Arts
- Description:
- The Michigan–Mellon Project on the Egalitarian Metropolis supported several impactful programs and initiatives. These collaborative projects developed through several mediums, primarily: faculty and student-led research, public-engaged scholarship, and community-led place-based projects. Explore each project below! Original website at https://sites.lsa.umich.edu/egalitarianmetropolis/.
- Discipline:
- Humanities
13Works -
CT Data of UMMP VP 68409, Plesiadapis gingerichi (holotype)
User Collection- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Five CT scans of dental elements (see metadata for individual scans for additional information)
- Discipline:
- Science
5Works -
Mali flora images
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- These images of plants, in nature or as fresh or dried specimens, were made in conjunction with research on languages of the Dogon and Bozo families, along with the isolated language Bangime, in Central Mali between 2006 and 2023. (See also the work "Dogon and Bangime flora terms from central Mali (2023)" in Deep Blue Data: https://doi.org/10.7302/34vf-jk03. The late Pierre Poilecot of CNRS (Montpellier, France) provided invaluable help in the early days. However, I am responsible for the determinations (including taxonomic updates), and I am not a professional botanist. The images range from poor to excellent technical quality. They may be of use for two purposes: a) acquiring a basic knowledge of the flora of the area, for newcomers; b) as vouchers for the determinations in my lexical spreadsheets on the various languages. While the main burst of taxonomic changes due to molecular studies has probably leveled off as of 2023, some revisions at all levels (family, genus, species) will occur over time. The African Flowering Plant Database at url https://africanplantdatabase.ch is especially useful for updates/synonymies at the species level, but tends to lag behind on revisions at the family level., Each "work" for flowering plants in this collection has the title "Mali flora images X" where X is the name of a botanical family. Users who enter at the collection level should search by family (from Acanthacaceae to Zypɣophyllaceae). Large families Poaceae, Malvaceae, and Fabaceae are divided into two or more works, but they will all show up in search results for the family. There is one work for non-flowering plants with title "Mali aa fern fungus lichen images"., Within each work, the individual images have file names like these: fl_Amaranthaceae_Celosia_trigyna_Beni_10_2011_fl_50035_JH.JPG fl_Lamiaceae_Hoslundia_opposita_Barato_09_2021_piripirinaw_03_fol_fr_JH.JPG fl_Zygophyllaceae_Tribulus_terrestris_Sevare_patch_50672_JH.tif fl_Fabaceae_Caesalpinioideae_mimosoid_Vachellia_(or_Acacia)_nilotica fuwON_1_Barato_09_2021_entire_JH.JPG They begin with "fl" for flora, the family, the genus, and the species epithet. For Fabaceae, the subfamily and if relevant "mimosoid" (part of subfamily Caesalpinioideae) precedes the genus. These items are separated by underlines (important to note if searching for a genus-species binomial). The remaining items were mostly for my own use. They may include a location (on which see the following paragraph), the date, a crude representation (without IPA symbols or diacritics) of a native name, a five-digit code for my use, a photo number like "2" for the same plant, "JH" to indicate that the image was taken by me or by a member of a project I directed, jpg or occasionally tif for forrmat, and an indicator of what part of the plant is shown: entire, bark, fl[ower], fol[iage], lf (leaf), fr[uit], tr[unk], br[anch], th[orn]. File names can be quite long especially for Fabaceae because of the subfamily names. In lists of files under such works, the file name may be shown in abbreviated form (with ellipsis ...) so that the genus and species terms may not be visible. The only way to find files for a particular species is by searching for that species. Alternatively, all of the files in a work can be downloaded in zip form and users can then see complete file names. The readme's for each work list the included species. , Most of the locations indicated are in the Dogon-speaking area, which includes cliffs, high plateaus, inselbergs, sandy plains, seasonal rivers, and small ponds. Dogon locations include Beni, Tupere, Ségué, Bendiely, Dianwely, Anda, Walo, and Tongo Tongo, among others. The inselbergs and adjoining plains of the montane Songhay are represented mainly by Hombori and Kikara. The Niger and Bani river zone from Mopti to Segou, a mainly Bozo-speaking area that features seasonal floodplains, is represented mainly by Djenne, Barato, and Kolongo. , and Some of these plants are featured in documentary-style videos. There are two collections of such videos from Mali in Deep Blue Data: Mali documentary videos from 2023 - https://doi.org/10.7302/4851-2c52 Central Mali documentary videos - https://doi.org/10.7302/4jg9-j095 Additional flora-related videos from Mali may be archived at a later date. Some fauna images may also be archived at a later date. The various Mali collections (flora, videos) will be paralleled in time by comparable collections for southwestern Burkina Faso, and small collections for north-central Côte d'Ivoire, all in Deep Blue Data.
- Keyword:
- flora and Central Mali
- Discipline:
- Humanities
97Works -
Burkina Faso documentary videos
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- This is a collection of mostly short documentary-style videos related to linguistic fieldwork in southwestern Burkina Faso. The initial batch consists of videos produced in 2023, and others will be added. Versions of some of these videos overdubbed in native languages will also be produced for local consumption in Burkina. Most of the videos document everyday practical activities; some also feature useful native plants and insects. This collection is parallel to collections of videos from neighboring Mali: see "Central Mali documentary videos" (with documentaries produced up to 2018) and "Mali documentary videos from 2023 on" for the newer ones. A small collection from north-central Côte d'Ivoire is also in the works. Within each collection, the videos are organized into "works" based on the general type of activity documented.
- Keyword:
- Burkina Faso and documentary videos
- Discipline:
- Humanities
7Works -
Mali documentary videos from 2023
User Collection
- Creator:
- Heath, Jeffrey G.
- Description:
- Each "work" in this collection is a set of documentary-style videos in mp4 (m4v) format. The initial (2023) set of works is as follows: "farming and plant gathering (Mali mp4)", "construction and boatbuilding (Mali mp4)", "fishing (Mali mp4)", "food and beverage preparation (Mali mp4)", metalwork and woodwork (Mali mp4)", "cultural events (Mali mp4)", "firearms and gunpowder (Mali mp4)", "pottery (Mali mp4)", and "weaving and dyeing (Mali mp4)". Funding: National Science Foundation, Documenting Endangered Languages program. The readme's for each work give further details. Additional works with new videos may be added in the future. See also the Deep Blue Data collections "Burkina Faso documentary videos" and "Central Mali documentary videos". The latter contains Mali videos archived in 2018.
- Keyword:
- Mali and documentary videos
- Discipline:
- Humanities
11Works -
ABC Baby Study
User Collection
- Creator:
- Lumeng, Julie C
- Description:
- The primary goal of this project was to identify domains of infant eating behavior and their trajectories over the first year of life. A convenience sample of 284 mother-infant dyads was recruited and enrolled from communities within a 1-hour driving distance of Ann Arbor, Michigan, via social media; flyers in outpatient pediatric clinics and community settings; and targeted outreach by telephone, email, and mail to pregnant women and mothers of newborn infants receiving care within the University of Michigan health system between October 2015 and February 2019. The planned sample size was based on a priori power calculations anticipating 3-5 eating behavior factors, each with 3 different trajectories, providing 81% power to detect a 10% or more change in the likelihood of exhibiting one of an anticipated 3 trajectory patterns of infant growth; the ultimate sample size of 284 was based on feasibility related to recruitment and retention. , The study included a repeated-measures, within-participant experimental design embedded within a longitudinal observational cohort study. The goal was to examine the development of infant eating behavior longitudinally at ages 0.5, 2, 4, 6, 9 and 12 months based on data collected from questionnaires, eating behavior experiments, and anthropometry via home visits by trained research staff. The study was described to participants as seeking to understand infant eating behavior and interactions between mothers and babies in the first year after birth. Inclusion criteria were gestational age of 37.0 to 42.0 weeks, weight appropriate for gestational age, no significant perinatal or neonatal complications, biological mother was the legal and custodial guardian, and infant’s having had consumed 2 oz or more in 1 feeding from an artificial nipple at least once per week. Exclusion criteria were mother not fluent in English; mother younger than 18 years; infant medical problems or diagnosis affecting current or future eating, growth, or development; or child protective services involvement. Mothers provided written informed consent for themselves and their infants. The study was approved by the University of Michigan institutional review board. To facilitate recruitment, dyads could be enrolled at 1 of 3 age points up to and including age 4 months; data collected at enrollment are referred to as baseline. , and Mothers responded to questionnaires on demographics, psychosocial stress, perinatal history, feeding behaviors and practices, sleep, their own eating behaviors, infant temperament, their own and the infant’s diet, and infant eating behaviors. Maternal and infant anthropometry was measured by trained research assistants. Mother-infant dyads participated in protocols designed to measure infant response to sucrose, infant ability to delay gratification, infant response to a challenging feeding, the relative reinforcing value of food, eating in the absence of hunger, capacity for regulation of energy intake in response to more frequent feedings and in response to increased caloric density, and response to novel and familiar foods. Maternal feeding behaviors were also coded from video. Biological samples included infant stool and maternal breastmilk.
- Keyword:
- infant, eating, weight gain, and sucking
- Discipline:
- Health Sciences
4Works -
Novel Sensors for Autonomous Vehicle Perception
User Collection
- Creator:
- Skinner, Katherine A, Vasudevan, Ram, Ramanagopal, Manikandasriram S, Ravi, Radhika, Buchan, Austin D, and Carmichael, Spencer
- Description:
- The Novel Sensors for Autonomous Vehicle Perception Collection of datasets are sequences collected with an autonomous vehicle platform including data from novel sensors. The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. Sequences include ~8 km routes, driven repeatedly under varying lighting conditions and/or opposing viewpoints. Further information and resources are available on the project website: https://umautobots.github.io/nsavp
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://umautobots.github.io/nsavp, https://github.com/umautobots/nsavp_tools, and https://sites.google.com/umich.edu/novelsensors2023
- Discipline:
- Engineering
12Works -
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