71 to 80 of 125 Results
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). |
Jun 20, 2022 - ASU Library Unit for Data Science
Little, David, 2022, "Homeless Management Information System (HMIS) Usage", https://doi.org/10.48349/ASU/NJOZNU, ASU Library Research Data Repository, V1, UNF:6:lVgMtOHGB4/ktKdlxSzdyA== [fileUNF]
This dataset is derived from the Homeless Management Information System (HMIS), which is a government-run database to collect client-level data on housing and services to homeless individuals and families. This particular dataset counts the number of times each homeless individual (rows) attends each of the different services/projects (columns) ava... |
The Unit for Data Science is a hub for research collaborations and student mentorship. It is a one-of-a-kind resource at ASU Library that connects students, faculty, and staff from all university-wide disciplines. By working with the unit, both students and faculty alike have grown their knowledge of data science and increased its impact on their w... |
May 26, 2022 - Artificial Social Intelligence for Successful Teams (ASIST)
Lixiao Huang; Jared Freeman; Nancy Cooke; Samantha Dubrow; John “JCR” Colonna-Romano; Matt Wood; Verica Buchanan; Stephen Caufman; Xiaoyun Yin, 2022, "Artificial Social Intelligence for Successful Teams (ASIST) Study 2", https://doi.org/10.48349/ASU/BZUZDE, ASU Library Research Data Repository, V4, UNF:6:OJ3XctVE31iBZs09zhPpFQ== [fileUNF]
The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data were developed under Contract No. HR001119C0130 to the Defense Advanced... |
