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- Creator:
- Towne, Aaron
- Description:
- This database contains six datasets intended to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. The six datasets are: large-eddy-simulation data for a turbulent jet, direct-numerical-simulation data for a zero-pressure-gradient turbulent boundary layer, particle-image-velocimetry data for the same boundary layer, direct-numerical-simulation data for laminar stationary and pitching flat-plate airfoils, particle-image-velocimetry and force data for an airfoil encountering a gust, and large-eddy-simulation data for the separated, turbulent flow over an airfoil. All data are stored within hdf5 files, and each dataset additionally contains a README file and a Matlab script showing how the data can be read and manipulated. Since all datafiles use the hdf5 format, they can alternatively be read within virtually any other programing environment. An example.zip file included for each dataset provides an entry point for users. The database is an initiative of the AIAA Discussion Group on Reduced-Complexity Modeling and is detailed in the paper listed below. For each dataset, the paper introduces the flow setup and computational or experimental methods, describes the available data, and provide an example of how these data can be used for reduced-complexity modeling. All users should cite this paper as well as appropriate primary sources contained therein. Towne, A., Dawson, S., Brès, G. A., Lozano-Durán, A., Saxton-Fox, T., Parthasarthy, A., Biler, H., Jones, A. R., Yeh, C.-A., Patel, H., Taira, K. (2022). A database for reduced-complexity modeling of fluid flows. AIAA Journal 61(7): 2867-2892.
- Keyword:
- fluid dynamics, reduced-complexity models, and data-driven models
- Discipline:
- Engineering and Science
6Works -
Bozo languages of Mali (spreadsheets, media)
User Collection- Creator:
- Heath, Jeffrey G.
- Description:
- This collection will archive lexical spreadsheets, audio files, geographic information, images, and videos that complement the reference grammars in pdf and docx form in the collection “Bozo languages of Mali (documents)” that are archived in Deep Blue Documents ( https://dx.doi.org/10.7302/6632). See the “readme” for that collection and the introductory material in the reference grammars for general information about the languages and the fieldwork., The initial material archived in the present collection consists of audio files. They are recordings of narratives, interviews, and conversations. Some of them have been transcribed and are presented as appendices in the reference grammars. Others have not been transcribed; they are presented here in the hope that they can eventually be transcribed or at least listened to by native speakers. If the author is able to transcribe some of them in the future, the transcriptions will be added here (and to the Deep Blue Documents collection)., Many of the recordings, as well as most of the images and videos to be added to this collection, have been made by project assistant Minkailou Djiguiba. He has courageously traveled into Bozo-speaking zones, some of which are highly insecure, to do this work. In addition, he has been instrumental in recruiting and transporting Bozo speakers to the author’s base in Bobo Dioulasso where much of the grammatical and lexical work has been done., and The author’s fieldwork is supported by grant PD-1941828 (2020-2024) from the National Science Foundation, Documenting Endangered Languages program, which is also supported by the National Endowment for the Humanities.
- Keyword:
- Bozo, Jenaama, Cliffs, Kelenga, Tigemaxo, and Tiéyaxo
- Discipline:
- Humanities
5Works -
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 -
Central Mali documentary videos
User Collection- Creator:
- Heath, Jeffrey G.
- Description:
- Short documentary videos of practical activities and cultural events of Dogon, Fulbe, Songhay, and Bangande ethnic groups of eastern Central Mali. The videos were byproducts of linguistic research on the local language. They are presented here in three formats: wmv, avi, and either qt or mov. See the "readme" files in each work for a summary of the videos in it. and The footage was shot with various digital cameras. The oldest videos (2010 and one or two from 2011) were edited using iMovie. The later videos were edited using AVS editing software. Several of the 2010 videos, referred to as "compilations," are simple sequences of short clips that combine to illustrate a complex activity such as extracting oil from nuts. The later videos are in more flowing documentary form with overlaid titles in English. In some cases, vocabulary from the relevant native language is included in the titles.
- Keyword:
- Mali and Dogon
- Citation to related publication:
- www.dogonlanguages.org
- Discipline:
- Humanities
7Works -
Central Mali geography photos
User Collection- Creator:
- Heath, Jeffrey G.
- Description:
- This is a collection of photos of villages located primarily in Central Mali. These photos are primarily of Dogon villages, but there are village photos of other nearby ethnicities, including Bangande, Fulbe, Tuareg, Songay, and Bozo.These photos were taken to document the villages Professor Jeffrey Heath worked in and people he worked with while documenting languages throughout the region. For interactive geographical maps involving these villages see: http://dogonlanguages.org/geography.cfm.
- Keyword:
- Jamsay, Bangime, Tamashek, Ampari, Bannkan Tey, Ben Tey, Atlantic Fulfulde, Bunoge, Dogul Dom, Donno So, Mombo, Najamba-Kindige, Nanga, Penange, Tebul Ure, Tengou-Togo, Tiranige, Tommo So, Toro So, Tomo Kan, Toro Tegu, Yanda Dom, Moore, Bozo Jenama, Manding Bambara, Fulankiriya, Humburi Senni, Dogon, Fulbe, Bozo, Songhay, Tuareg, and Bangande
- Citation to related publication:
- www.dogonlanguages.org, http://dogonlanguages.org/geography.cfm, and http://dogonlanguages.org/sources/gpsdogonspreadsheetforllmap
- Discipline:
- Humanities
27Works -
- 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 -
Estimates of the water balance of the Laurentian Great Lakes using the Large Lakes Statistical Water Balance Model (L2SWBM)
User Collection- Creator:
- Smith, Joeseph P., Fry, Lauren M., Do, Hong X., and Gronewold, Andrew D.
- Description:
- 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
- Keyword:
- Great Lakes water levels, statistical inference, water balance, data assimilation, Great Lakes, Laurentian, Machine learning, Bayesian, and Network
- Citation to related publication:
- 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)
- Discipline:
- Science and Engineering
5Works -
F3UEL: Flaring & Fossil Fuels: Uncovering Emissions & Losses
User Collection- Creator:
- Kort, Eric and Plant, Genevieve
- Description:
- Fossil energy production, processing, flaring, and transmission all can harm climate and air quality by emitting greenhouse gases and air pollutants. Studies now show that onshore oil and gas production emit much more methane than what is inventoried, and that local air quality impacts can be significant, however, natural gas flaring and offshore systems have been largely overlooked. The F3UEL (Flaring & Fossil Fuels: Uncovering Emissions & Losses) project aims to address these gaps by improving our understanding of offshore emissions, characterizing how flares behave in the real world, identifying what portion of the offshore system is responsible for emissions, and determining how such systems can be monitored. Spanning three years (2020-2022), the project employed an aircraft platform to measure including both greenhouse gas and air quality measurements. To sample the largest regions of current and potential future offshore production and flaring, airborne measurements targeted the Gulf of Mexico, offshore California and Alaska, the Bakken Formation (North Dakota) and the Permian and Eagle Ford Basins (Texas). Data provided here includes the airborne measurements collected using Scientific Aviation’s Mooney aircraft platform, equipped with spectroscopic instrumentation to measure methane, carbon dioxide, water vapor, nitrous oxide, and nitrogen oxide, in addition to meteorological variables such as wind speed and direction. Data products from our analysis of these airborne measurements are also provided, including estimated flare destruction removal efficiency for the Bakken, Eagle Ford, and Permian basins. Each data file is in .csv format and is accompanied by a readme file with further information and descriptors of the variables included. All users should cite the papers and datasets provided in the readme files for each individual dataset. Website: https://graham.umich.edu/f3uel This project is funded by the Alfred P. Sloan Foundation with additional support from the Environmental Defense Fund, Scientific Aviation, and University of Michigan (College of Engineering, Climate and Space Sciences and Engineering; Graham Sustainability Institute).
- Keyword:
- offshore oil & gas, flaring, methane, Nitrogen oxides, natural gas flaring, and oil & gas
- Discipline:
- Science
4Works -
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 -
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