Search Constraints
Number of results to display per page
View results as:
Search Results
-
- Creator:
- Singer, Kanakadurga
- Description:
- Supplementary Figure 1. Example gating scheme for bone marrow mature leukocytes and hematopoietic progenitors. To stain for mature leukocytes antibodies used were against CD45, Ly6G, CD11b, CD115, CD19, and CD3e. All CD45+ cells were gated first. Neutrophils were defined as Ly6G+CD11b+, monocytes were defined as Ly6G-CD11b+CD115+ (17,18), B cells were defined as Ly6G-CD11b-CD19+, and T cells were defined as Ly6G-CD11b-CD3e+. To stain for hematopoietic stem and progenitor cells antibodies used were against lineage panel (B220, Gr1, TER119, CD11b, CD4, CD8), cKit, Sca1, CD48, CD150, CD16/32, and CD105. HSCs were defined as Lin-Sca1+cKit+CD48-CD150+, MPPs were defined as Lin-Sca1+cKit+CD48-CD150-, HPC1 were defined as Lin-Sca1+cKit+CD48+CD150-, HPC2 were defined as Lin-Sca1+cKit+CD48+CD150+, GMP were defined as Lin-Sca1-cKit+CD150-CD16/32+, PreGM were defined as Lin-Sca1+cKit+CD150-CD105-, preMegE were defined as Lin-Sca1+cKit+CD150+CD105-, and PreCFUe were defined as Lin-Sca1+cKit+CD150+CD105+. , Supplementary Figure 2. Hematopoietic stem and progenitor cell frequency by flow cytometry as a percentage of CD45 bone marrow cells in male and female Ctrl and HFD PN offspring. Hematopoietic stem cells (HSC), multipotent progenitor cells (MPP), Pre-Granulocyte Macrophage (Pre-GM), granulocyte monocyte precursors (GMP), Pre-Megakaryocyte-Erythroid Precursors (Pre-MegE) and erythroid precursors (Pre-CFUE). Analyses were Student’s t-test ang gating per Supplementary Figure 1., Supplementary Table 1. Differential gene expression between Ctrl and HFD PN male gonadal white adipose tissue (GWAT) from postnatal day 16. The significant gene expression differences were determined by the DESeq2 package for R Studio. Sequencing The RNA was extracted from adipose tissue using Trizol LS (Life Technologies) by Qiagen RNeasy Mini Kit (74106) according to the manual. The RNA was sent to the University of Michigan Advanced Genomics Core for RNA-sequencing. For RNAseq studies, gonadal white adipose tissue 3’ QuantSeq single-end poly-A mRNA libraries were generated (Lexogen). These were sequenced to a depth of 10-20M reads on Illumina NovaSeq platform. Data are available from GEO at accession number GSE227337., and Supplementary Table 2. Differentially expressed genes between Ctrl and HFD PN male gonadal white adipose tissue (GWAT) from postnatal day 16 that are significant after correction for false discovery rate were determined by the DESeq2 package for R Studio.
- Citation to related publication:
- Kim K, Varghese M, Sun H, Abrishami S, Bowers E, Bridges D, Meijer JL, Singer K* and Gregg B*. The influence of maternal high fat diet during lactation on offspring hematopoietic priming. Endocrinology. https://doi.org/10.1210/endocr/bqad182 PMID 38048597.
- Discipline:
- Health Sciences
-
- Creator:
- Wallace, Dylan M, Benyamini, Miri, Nason-Tomaszewski, Samuel R, Costello, Joseph T, Cubillos, Luis H, Mender, Matthew J, Temmar, Hisham, Willsey, Matthew S, Patil, Parag P, Chestek, Cynthia A, and Zacksenhouse, Miriam
- Description:
- This is data from Wallace, Benyamini et al., 2023, Journal of Neural Engineering. There are two sets of data included: 1. Neural features and error labels used to train error classifiers for each day used in the study 2. Trial data from an example experiment day (Monkey N, Day 6), with runs for offline calibration, online brain control, error monitoring, and error correction. The purpose of this study was to investigate the use of error signals in motor cortex to improve brain-machine interface (BMI) performance for control of two finger groups. All data is contained in .mat files, which can be opened using MATLAB or the Python SciPy library.
- Keyword:
- Brain-machine interface (BMI), Error detection, and Neural recording
- Citation to related publication:
- Wallace, D. M., Benyamini, M., Nason-Tomaszewski, S. R., Costello, J. T., Cubillos, L. H., Mender, M. J., Temmar, H., Willsey, M. S., Patil, P. G., Chestek, C. A., & Zacksenhouse, M. (2023). Error detection and correction in intracortical brain–machine interfaces controlling two finger groups. Journal of Neural Engineering, 20(4), 046037. https://doi.org/10.1088/1741-2552/acef95
- Discipline:
- Engineering, Science, and Health Sciences
-
- Creator:
- Sun, Hu, Ren, Jiaen, Chen, Yang, Zou, Shasha, Chang, Yurui, Wang, Zihan, and Coster, Anthea
- Description:
- Our research focuses on providing a fully-imputed map of the worldwide total electron content with high resolution and spatial-temporal smoothness. We fill in the missing values of the original Madrigal TEC maps via estimating the latent feature of each latitude and local time along the 2-D grid and give initial guess of the missing regions based on pre-computed spherical harmonics map. The resulting TEC map has high imputation accuracy and the ease of reproducing. All data are in HDF5 format and are easy to read using the h5py package in Python. The TEC map is grouped in folders based on years and each file contains a single-day data of 5-min cadence. Each individual TEC map is of size 181*361. and WARNING: 2023-12-01 the data file for 2019-Jan-03 has badly fitted values. Please avoid using it. All other days' files are ready to use.
- Keyword:
- Total Electron Content, Matrix Completion, VISTA, Spherical Harmonics, and Spatial-Temporal Smoothing
- Citation to related publication:
- Sun, H., Hua, Z., Ren, J., Zou, S., Sun, Y., & Chen, Y. (2022). Matrix completion methods for the total electron content video reconstruction. The Annals of Applied Statistics, 16(3), 1333-1358., Sun, H., Chen, Y., Zou, S., Ren, J., Chang, Y., Wang, Z., & Coster, A. (2023). Complete Global Total Electron Content Map Dataset based on a Video Imputation Algorithm VISTA. Scientific Data, in press., and Zou, S., Ren, J., Wang, Z., Sun, H., & Chen, Y. (2021). Impact of storm-enhanced density (SED) on ion upflow fluxes during geomagnetic storm. Frontiers in Astronomy and Space Sciences, 8, 746429.
- Discipline:
- Science and Engineering
-
- Creator:
- Klinich, Kathleen D, Lin, Brian, and Moore, Jamie L.
- Description:
- This dataset allows comparison of the different strategies implemented by vehicle manufacturers being used to communicate with drivers. Spreadsheets were created in MS Excel to summarize data for each vehicle, and include page numbers in each vehicle owner's manual for reference. The photos taken of each vehicle control panel allow detailed inspection of the displays and controls.
- Keyword:
- vehicle, controls, displays, and FMVSS 101
- Discipline:
- Engineering
-
- Creator:
- Brian, Chen
- Description:
- The procedure followed while creating this data is summarized in Section II of Chen, Brian, et al. "Behavioral cloning in atari games using a combined variational autoencoder and predictor model." 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. This data is not a result of a research but an intermediate product that is used in research. This dataset is generated to train a behavioral cloning framework from gameplay screen captures and keystrokes of an "expert" player. The RL agent that is trained using "RL Baselines Zoo package" acts as the "expert" player, whose decision making process we desire to learn. In addition to behavioral cloning experiments, this dataset is further used to demonstrate the efficacy of a novel incremental tensor decomposition algorithm on image-based data streams.
- Keyword:
- Imitation Learning, Behavioral Cloning, Reinforcement Learning, Machine Learning, and Gameplay Data
- Citation to related publication:
- Chen, Brian, et al. "Behavioral cloning in atari games using a combined variational autoencoder and predictor model." 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021., Aksoy, Doruk, et al. "An Incremental Tensor Train Decomposition Algorithm." arXiv preprint arXiv:2211.12487 (2022)., and Chen, Brian, et al. "Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning", forthcoming
- Discipline:
- Engineering and Science
-
- Creator:
- Heath, Jeffrey
- Description:
- Tebul Ure is a Dogon language spoken on the heights in a horseshoe valley between Bamba and Yanda on the eastern edge of the Dogon (Bandiagara) plateau in central Mali. A grammar is drafted but incomplete as of May 2018. Texts were transcribed from dictation in 2012 in the Tebul area, and others were recorded digitally in 2015 at a nearby town on the plateau. Six of the 2015 texts have been transcribed. The texts are included at the end of the grammar. I grant permission to other linguists to transcribe, translate, or analyse any texts that remain untranscribed beginning 2022.
- Keyword:
- Tebul Ure, Dogon, Mali, Audio, and Recording
- Citation to related publication:
- Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
- Discipline:
- Humanities
-
- Creator:
- Heath, Jeffrey
- Description:
- Images of villages in Mali in which Tengou-Togo (Dogon family) is the primary language. Each file name contains important information about the photos, and are structured thus: LanguageFamily_Language_IdentificationNumber_GeographicCoordinate_Description_Date_InitialsOfThePhotographer
- Keyword:
- villages, Dogon, Tengou-Togo, and Mali
- Citation to related publication:
- Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
- Discipline:
- Humanities
-
- Creator:
- Ponder, Brandon M., Ridley, Aaron J., Bougher, Stephen W., Pawlowski, David, and Brecht, Amanda
- Description:
- This research was completed to introduce a state-of-the-art Venus GCM to the modeling community. Validation studies were performed to give credence to the model's results. and This data set is made available under a Creative Commons Public Domain license (CC0 1.0). The python scripts contained were ran on macOS Monterey version 12.7 with Python 3.9. Numpy version: 1.19.4 Pandas version: 1.2.0
- Keyword:
- Venus, GITM, Ionosphere, Thermosphere, Solar minimum, Navier-stokes, Fluid dynamics, Shocks, V-GITM, and VGITM
- Citation to related publication:
- Ponder, Brandon & Ridley, Aaron J. & Bougher, Stephen W. & Pawlowski, D. & Brecht, A. (2023). The Venus Global Ionosphere-Thermosphere Model (V-GITM): A Coupled Thermosphere and Ionosphere Formulation. JGR Planets. In Press.
- Discipline:
- Science
-
- Creator:
- Alben, Silas D
- Description:
- The research involved vortex-panel simulations of fluid-structure interactions. A file Captions_for_SpanwiseVariationsMovies.pdf is included that describes the movies.
- Discipline:
- Science
-
- Creator:
- Gill, Tate M, Sercel, Christopher L, and Jorns, Benjamin A
- Description:
- Rotating Magnetic Field (RMF) thrusters are a form of electrodeless plasma propulsion. This technology is a low maturity but potentially enabling candidate for high-power in-space propulsion for use with alternative propellants. The purpose of the data here, and the associated publication is to evaluate the phenomenological efficiency modes for this thruster test article to explain and understand its overall efficiency. These modes include divergence, power coupling, mass utilization, and plasma/acceleration efficiency. Additional time-resolved measurements of the internal plasma properties were performed using a triple Langmuir probe to evaluate energy loss processes within the thruster.
- Keyword:
- Electric Propulsion, Rotating Magnetic Field Thrusters, Inductive Pulsed Plasma Thrusters, and Magnetic Nozzles
- Citation to related publication:
- Gill, T.M., Sercel, C.L., and Jorns, B.A., "Experimental Investigation into Efficiency Loss in Rotating Magnetic Field Thrusters", Plasma Sci. Sources and Tech. 2023 (In Review)
- Discipline:
- Engineering