71 to 80 of 128 Results
Sep 20, 2022
The Birkel group works on the interface of solid state chemistry and materials science focusing on the synthesis, structure, and properties of inorganic compounds. Birkel group members are experts in a large variety of preparation techniques ranging from room-temperature to high-temperature as well as classical to non-conventional methods. This all... |
Rykaczewski, Konrad; Bartels, Lyle; Martinez, Daniel M.; Viswanathan, Shri H., 2022, "Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)", https://doi.org/10.48349/ASU/ZCLKT6, ASU Library Research Data Repository, V1
3D meshes of adults in the United States covering 1 to 99 percentile variation in body mass index and height. Based on manikins generated from The National Health and Nutrition Examination Survey (NHANES) using the Manikin Fetcher tool from Open Design Lab. All manikins have simplified "mitten-finger" hands with effective radiation areas correspond... |
Rykaczewski Lab Project. Extreme heat is an invisible and deadly disaster with wide-ranging adverse effects on people’s health and well-being. It is increasing in frequency and severity, and its impacts are felt disproportionately by vulnerable populations. Yet, there is a minimal understanding of how body temperatures are elevated in extreme heat... |
Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Cynomolgus Macaque Ovary", https://doi.org/10.48349/ASU/BUAU3E, ASU Library Research Data Repository, V1
Dataset for histology images from the ovaries of Cynomolgus macaque (Macaca fascicularis). These images are associated with the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), an online repository (https://mother-db.org) of ovary tissue histology digital images, funded by NSF (DBI-2054061). Sharing these histology images will fa... |
Georgescu, Matei; Brandi, Aldo; Broadbent, Ashley; Krayenhoff, Scott, 2021, "2090-2099 Projected Climates and Urban Development Scenarios - Conterminous U.S. (CONUS) Simulation Data", https://doi.org/10.48349/ASU/3TYXZI, ASU Library Research Data Repository, V3
Simulations representing different climate change, urban development and heat adaptation strategies scenarios for the future Conterminous United States. Refer to CONUS_Sims_README.txt for additional documentation. |
Aug 16, 2022
Dolby, Greer A.; Araya-Donoso, Raúl; Baty, Sarah M.; Alonso-Alonso, Pedro; José Sanín, María; T. Wilder, Benjamin; Munguía-Vega, Adrián, 2021, "Replication Data for: Implications of barrier ephemerality in geogenomic research", https://doi.org/10.48349/ASU/IKNUHC, ASU Library Research Data Repository, V2
Spatially explicit population genomic data in genalex format, generated by CDMetaPop simulations. Scripts for R, SLiM and CDMetaPop used to run and calculate statistics in the genetic simulations. |
Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, "Zelinski Lab: Japanese Macaque Ovary", https://doi.org/10.48349/ASU/KM2QZQ, ASU Library Research Data Repository, V1
Dataset for histology images from the ovaries of Japanese macaque (Macaca fuscata). These images are associated with the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), an online repository (https://mother-db.org) of ovary tissue histology digital images funded by NSF (DBI-2054061). Sharing these histology images will facilitate... |
Aug 10, 2022
The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) provides public access to digitized microscopic images of ovary tissues along with information that ensures image integrity and quality. Currently, there is no electronic repository of ovary histology slides that preserves these valuable research collections for future generatio... |
Little, David, 2022, "Microplastics Images dataset", https://doi.org/10.48349/ASU/ZCEM6W, ASU Library Research Data Repository, V1
This dataset is a collection of images of microplastics. Microplastics are small fragments of plastic (<5mm) that potentially have a negative impact on our health and the environment. Suggested dataset uses are for image classification, image segmentation, or any other image processing tasks. ZIP file contains color images. Size: 34.1 MB Type: JPEG |
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "WallStreetBets Subreddit dataset", https://doi.org/10.48349/ASU/WLV8JA, ASU Library Research Data Repository, V1, UNF:6:9xDozy1E0i7ZAlZqh9EXEQ== [fileUNF]
This dataset is an extract of the subreddit /s/wallstreetbets from the website Reddit.com. It contains all of the non-deleted posts from all of January and February 2021. Suggested uses for this dataset is great for all types of natural language processing (NLP). |
