Arizona State University Research Data Repository
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Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)
No full text3D 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 corresponding to the "average hand."
The manikin files are in the following format: "MB01P01"--referring to "M"-male "B01"-BMI percentile, "P01"-posture percentile. The percentile to absolute values are specified in the document "percentile to value" (PDF).
See the README for additional information.</p
Medical Electronic Disease Surveillance Intelligence System (MEDSIS)
No full textMEDSIS is a statewide system hosted and supported by the Arizona Department of Health Services (ADHS) for use by local health departments for infectious disease surveillance, and for individuals and institutions responsible for reporting communicable diseases. Data includes identifiable surveillance data for Confirmed and Probable reportable cases.
There are five datasets available for request: Non-COVID cases (2013-2023) containing 34 variables, non-COVID laboratory results (2013-2023) containing 11 variables, COVID case data (2020-2023) containing 38 variables, COVID laboratory results (2020-2023) containing 11 variables, and the MEDSIS Injury Module which contains opioid overdoses.
The list of current conditions under surveillance can be found at:
Reportable Diseases List
The archive of case definitions for reportable conditions going back to 2005 can be found at: Case Definitions
To request health data:
ASU Request Form</p
Zelinski Lab: Japanese Macaque Ovary
No full textDataset 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 comparative studies of
female reproductive strategies, enable the development of computational models to test hypotheses related to ovarian development and female reproduction, and serve as an educational resource thereby reducing the use of animals in research.
See the README for an overview of the dataset, including file naming conventions.</p
Artificial Social Intelligence for Successful Teams (ASIST) Study 3
No full textThe ASIST Study-3 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to instantiate a Machine Theory of Teams, and apply it to generate and issue (or withold) advice to team members that improve team state (e.g., motivation), process (e.g., synchronization), and mission effects (e.g., game score). These agents -- called Artificial Social Intelligence -- draw measurements of team state and process from agents called Analytic Components. These take their input from survey responses and behaviors of a three-person team executing an urban search and rescue task in Minecraft.
This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR001119C0130. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Defense Advanced Research Projects Agency.
We have partitioned the full dataset into folders that support research in specific areas. A readme file in each folder (e.g., readme_audio.txt) describes the folder's contents in detail.
(1) Data in the studywide folder will be of interest to researchers who conduct any analysis with any data from ASIST Study-2, because these files contain data that describe the study overall, the data used to evaluate AI, or the coding of data.
(2) Data in the surveys folder will be of interest to researchers who study individual differences and their effects on behavior.
(3) Data in the testbedmessages folder will be of interest to researchers who study individual and team behavior or who use any other components of this dataset, because these are machine- and human-readable text (json) records of the state and behaviors of study participants, and of the state of the task environment.
(4) Data in the transcriptions folder will be of interest to researchers who study language use. The audio source of these imperfect machine transcriptions can be found in study video files and audio files.
(5) Data in the audio folder will be of interest to researchers who study language use, or who wish to validate, contextualize, or specify transcriptions, testbed messages, and certain survey data.
(6) Data in the video folder will be of interest to researchers who study machine vision, or who wish to validate, contextualize, or specify transcriptions, testbed messages, and certain survey data.
(7) Data in the analysis folder will be of interest to those seeking examples of analyses developed by ASIST program performers, either to understand the data better, to identify opportunities for further analysis, or to build on analysis code.
(8) Data in the methods folder (and in the studywide folder) will be useful to those seeking to reproduce the human subjects experiment.
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COVID Future Wave 1 Survey Data v1.1.0
No full textThis dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk perception, along with attitudinal, socioeconomic, and demographic information. Version 1.1 of the survey data contains 9,265 responses that are publicly available. The survey is deployed over multiple waves to the same respondents to monitor how behaviors and attitudes evolve over time. In addition, the data are weighted to be representative of national and regional demographics
Replication data for: Uncovering temporospatial sensitive TBI targeting strategies via in vivo phage display
No full textThe heterogeneous pathophysiology of traumatic brain injury (TBI) is a barrier to advancing diagnostics and therapeutics, including targeted drug delivery. We employed a unique discovery pipeline to identify novel targeting motifs that recognize specific temporal phases of TBI pathology. This pipeline combined in vivo biopanning with domain antibody (dAb) phage display, next-generation sequencing analysis, and peptide synthesis. We identified targeting motifs based on the complementarity-determining region 3 structure of dAbs for acute (1 day post-injury) and subacute (7 days post-injury) post-injury timepoints in a pre-clinical TBI model (controlled cortical impact; CCI). Bioreactivity and temporal sensitivity of the targeting motifs were validated via immunohistochemistry. Immunoprecipitation-mass spectrometry indicated that the acute TBI targeting motif recognized targets associated with metabolic and mitochondrial dysfunction whereas the subacute TBI motif was largely associated with neurodegenerative processes. This pipeline successfully discovered temporally specific TBI targeting motif/epitope pairs that will serve as the foundation for the next generation targeted TBI therapeutics and diagnostics.
Methods used for collection/generation of data
IMMUNOPRECIPITATION-MASS SPECTROMETRY:
CCI and sham surgeries were completed as described previously (n = 3 biological replicates per timepoint). Mice were sacrificed at 1 or 7 dpi via transcardial perfusion with phosphate buffer, pH 7.4. The ipsilateral hemisphere of the brain was immediately dissected and homogenized in chilled lysis buffer (1X PBS, 1% Triton, protease inhibitor cocktail). Protein concentration was quantified with the Pierce BCA Protein Assay Kit (Thermo Fisher)
Streptavidin-coupled Dynabeads (Thermo Fisher) were washed with 0.1% Tween in 1X PBS and incubated with 1 mg/mL tissue lysate for 1 hour at room temperature. Pre-cleared lysate was collected after separation from magnetic beads and incubated with designated HCDR3-constructs rotating overnight at 4°C to form the immune complex. The immune complex was incubated with streptavidin-coupled Dynabeads for 1 hour at room temperature and beads were then washed 3 times with chilled lysis buffer. Antigens were eluted directly from beads with 0.2% Rapigest for LC-MS analysis using the Thermo Orbitrap Fusion Lumos (Thermo Fisher) by the ASU Biodesign Mass Spectrometry Facility.
Methods for processing the data:
IP-MS data were collected using the Thermo Fisher Thermo Orbitrap Fusion Lumos.2.4.1.15
Environmental/experimental conditions:
All experiments were approved by the Arizona State University Institutional Animal Care and Use Committee (IACUC) under protocols #17-1590R and #20-1793R.
Eight-week-old male and female C57Bl/6 mice (Charles River) were assigned to four experimental groups; acute (1 dpi), subacute (7 dpi), chronic (21 dpi) and sham (craniotomy with no injury, sacrificed 1-day post-procedure).
See README for additional methodological information on data collection, data processing, experimental conditions, and abbreviations.</p
Zelinski Lab: Rhesus Macaque Ovary
No full text
Dataset for histology images from the ovaries of Rhesus macaque (Macaca mulatta). 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 comparative studies of
female reproductive strategies, enable the development of computational models to test hypotheses related to ovarian development and female reproduction, and serve as an educational resource thereby reducing the use of animals in research.
See the README for an overview of the dataset, including naming conventions
COVID Future Wave 2 Survey Data v1.1.0
No full textThis dataset is the product of the second wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk perception, along with attitudinal, socioeconomic, and demographic information. Version 1.1 of the survey data contains 2,877 responses that are publicly available. Of these, 311 are from Wave 1A respondents and 2,566 are from Wave 1B respondents. The survey is deployed over multiple waves to the same respondents to monitor how behaviors and attitudes evolve over time. In addition, the data are weighted to be representative of national and regional demographics
Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds
No full textTiO2 anatase to rutile proof-of-concept study
In situ Raman spectroscopic data for the observation of a phase change in TiO2 (titania) from anatase to rutile. These data sets are the results of a proof-of-concept study for a custom Raman instrument which was built for the purpose of observing inorganic transformation under microwave heating and at high temperatures in the standard synthetic laboratory environment. They demonstrate the ability of the new instrument to observe these transformations in real-time and gain a better understanding of microwave heating methods for inorganic synthesis. It is relevant to Raman spectroscopists and inorganic synthetic chemists, especially those specializing in microwave processing.
Dataset contains 7 delimited data files (.csv, .tab) and 6 MATLAB live scripts (.mlx).
See README for additional information.</p
2090-2099 Projected Climates and Urban Development Scenarios - Conterminous U.S. (CONUS) Simulation Data
No full textSimulations 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