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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 -
- Creator:
- Yan, Xiang (Jacob), Clarke, Phillipa J., Okullo, Dolorence, Goodspeed, Robert, Data Driven Detroit, Gomez-Lopez, Iris N., and Veinot, Tiffany C
- Description:
- This collection was produced as part of the project, “A ‘Big Data’ Approach to Understanding Neighborhood Effects in Chronic Illness Disparities.” The Investigators for the project are Tiffany Veinot, Veronica Berrocal, Phillipa Clarke, Robert Goodspeed, Daniel Romero, and VG Vinod Vydiswaran from the University of Michigan. The study took place from 2015-2016, with funding from the University of Michigan’s Social Sciences Annual Institute, MCubed, and the Sloan and Moore Foundations. Contact: Tiffany Veinot, MLS, PhD Office: 3443 North Quad Phone: 734/615-8281 Email: tveinot@umich.edu MCubed project page: https://mcubed.umich.edu/projects/%E2%80%9Cbig-data%E2%80%9D-approach-understanding-neighborhood-effects-chronic-illness-disparities
- Keyword:
- Food Environment, Health Status, Employment, Health Care Resources, Neighborhood Safety, Healthcare Utilization, Transportation, Census tract level, Information and Education Environment, Spatial Measures, Detroit, Active Living Resources, Social Environment, Demographics, Community Health, Housing, and student-friendly
- Discipline:
- Social Sciences
6Works -
Mound survey
User Collection
- Creator:
- Galaty, Michael
- Description:
- TBD
- Keyword:
- archaeology
- Discipline:
- Humanities and Social Sciences
0Works -
- Creator:
- Sun, Xin, Zhang, Kehui, Marks, Rebecca, Karas, Zachary, Eggleston, Rachel, Nickerson, Nia , Yu, Chi-Lin, Wagley, Neelima, Hu, Xiaosu, Caruso, Valeria, Tardif, Twila, Satterfield, Teresa, Chou, Tai-Li, Kovelman, Ioulia, and Hernandez, Isabel
- Description:
- In a broad sense, this project explores morphological and phonological processing in English monolinguals and two bilingual populations, Chinese-English and Spanish-English, using a battery of standardized and self-developed behavioral measures, as well as fNIRS neuroimaging. (T1=NEW PARTICIPANTES -TESTED BEHAVIORAL AND fNIRS-, T2= RETURNING PARTICIPANTS -JUST TESTED WITH BEHAVIORAL ASSESSMENTS)
- Discipline:
- Science
2Works -
Modern Settlement
User Collection
- Creator:
- Vani Archaeological Survey
- Description:
- Modern settlements documented by the Vani Archaeological Survey
- Keyword:
- Modern Settlement
26Works -
Modern
User Collection
- Creator:
- Vani Archaeological Survey
- Description:
- Modern activity documented by the Vani Archaeological Survey
- Keyword:
- Modern
25Works -
Mediaeval
User Collection
- Creator:
- Vani Archaeological Survey
- Description:
- Mediaeval activity documented by the Vani Archaeological Survey
- Keyword:
- Mediaeval
28Works -
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 -
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 -
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