cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48349/asu/hguza6
title: Replication Data for: What’s in a Name? Effect of Breed Perceptions and Labeling on Attractiveness, Adoptions and Length of Stay for Pit-Bull-Type Dogs

description: Replication data for the 4 different studies in this paper.
DOI: 10.48349/asu/qxxwgp
title: Replication Data for: A Canine Identity Crisis: Genetic Breed Heritage Testing of Shelter Dogs

description: Replication data in csv and xls formats
DOI: 10.48349/asu/xup56g
title: TOMNET/D-STOP Transformative Technologies in Transportation (T4) Survey

description: In 2019, four universities comprising the TOMNET (Transformative Transportation Technologies) and D-STOP Tier 1 University Transportation Centers, namely, Arizona State University, Georgia Tech, The University of Texas at Austin, and University of South Florida, conducted a survey to understand traveler attitudes, behaviors, and mobility and lifestyle choices in the context of new mobility services and rapidly evolving transportation technologies. An identical survey was administered to a random sample of individuals in the four metro regions of Phoenix, Atlanta, Tampa, and Austin.
description: SPSS
description: Excel
description: Python
description: R
DOI: 10.48349/asu/kkxmsf
title: MMM Aggregate Educator 2018 and 2019 Survey Data

description: Raw and imputed data from the 2018 and 2019 surveys of educators who use March Mammal Madness with their learners.
DOI: 10.48349/asu/xtoiad
title: MMM Aggregate Figure Source Data

description: Source data for figures in 2021 manuscript "March Mammal Madness and the Power of Narrative in Science Outreach."
DOI: 10.48349/asu/vpo9ld
title: Building Resilience in Boston: An Analysis of City Plans

description: This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington.

This report presents key findings from the plan analysis component of the research project for Boston. This includes a plan quality evaluation for Boston’s network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities.
DOI: 10.48349/asu/ukdz2u
title: Building Resilience in Baltimore: An Analysis of City Plans

description: This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington. 

This report presents key findings from the plan analysis component of the research project for Baltimore. This includes a plan quality evaluation for Baltimore's network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities.
DOI: 10.48349/asu/yxusky
title: Building Resilience in Seattle: An Analysis of City Plans

description: This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington. This report presents key findings from the plan analysis component of the research project for Seattle. This includes a plan quality evaluation for Seattle's network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities.
DOI: 10.48349/asu/xpisiw
title: Replication Data for: Investigating the Impact of Brief Outings on the Welfare of Dogs Living in US Shelters

description: Social isolation likely contributes to reduced welfare for shelter-living dogs. Several studies have established that time out of the kennel with a person can improve dogs’ behavior and reduce physiological measures of stress. This study assessed the effects of two-and-a-half-hour outings on the urinary cortisol levels and activity of dogs as they awaited adoption at four animal shel-ters. Dogs’ urine was collected before and after outings for cortisol:creatinine analysis, and ac-celerometer devices were used to measure dogs’ physical activity. In total, 164 dogs participated in this study, with 793 cortisol values and 3750 activity measures used in the statistical analyses. We found that dogs’ cortisol:creatinine ratios were significantly higher during the afternoon of the intervention but returned to pre-field trip levels the following day. Dogs’ minutes of low ac-tivity were significantly reduced, and high activity significantly increased during the outing. Although dogs’ cortisol and activity returned to baseline after the intervention, our findings sug-gest that short-term outings do not confer the same stress reduction benefits as previously shown with temporary fostering. Nevertheless, it is possible that these types of outing programs are ben-eficial to adoptions by increasing the visibility of dogs and should be further investigated to elu-cidate these effects.
DOI: 10.48349/asu/mbvw12
title: Replication Data for: Legislative Diversity and the Rise of Women Lobbyists

description: Despite a growing body of literature examining the consequences of women’s inclusion among lobbyists, our understanding of the factors that lead to women’s initial emergence in the profession is limited. In this study, we propose that gender diversity among legislative targets incentivizes organized interests to hire women lobbyists, and thus helps to explain when and how women emerge as lobbyists. Using a comprehensive data set of registered lobbyist-client pairings from all American states in 1989 and 2011, we find that legislative diversity influences not only the number of lobby contracts held by women but also the number of former women legislators who become revolving-door lobbyists. This second finding further supports the argument that interests capitalize on the personal characteristics of lobbyists, specifically by hiring women to work in more diverse legislatures. Our findings have implications for women and politics, lobbying, and voice and political equality in the United States.
DOI: 10.48349/asu/8phiuk
title: Building Resilience in Fort Lauderdale: An Analysis of City Plans

description: This report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington. This report presents key findings from the plan analysis component of the research project for Fort Lauderdale. This includes a plan quality evaluation for Baltimore's network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities.
DOI: 10.48349/asu/xjc8cu
title: Replication Data for: Controlling the Error Probabilities of Model Selection Information Criteria Using Bootstrapping

description: Simulation data associated with a publication in the Journal of Applied Statistics. Content addresses a simple regression case proposed by Aris Spanos and fossil trait series data from paleobiology collected by Gene Hunt, Melanie Hopkins, and Scott Lidgard. Data is formatted for use in R and is associated with the ICError R package.
description: R ECIC package, https://github.com/mcullan/ecic
description: The code is available at https://github.com/mcullan/ecic
DOI: 10.48349/asu/2t05el
title: Replication Data for: Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration

description: Supporting Information for Publication. Dataset contains information
necessary to replicate findings.
description: The uploaded dataset contains multiple Magnetic Resonance (MR) imaging data acquired from a biological tissue phantom experiment.
description: Matlab
DOI: 10.48349/asu/pmlvxf
title: Replication Data for: Geospatial assessment of freshwater invasive species to inform turtle conservation and management

description: &lt;p&gt;Occurrence data for invasive bullfrog and crayfish species in Arizona.&lt;/p&gt;

&lt;p&gt;Occurrence data obtained from Arizona Game and Fish Department reports and the public databases: &lt;a href="https://doi.org/10.15468/ab3s5x"&gt;iNaturalist Research-grade Observations, 
&lt;a href="http://www.imapinvasives.org"&gt;iMapInvasives: NatureServe’s online data system supporting strategic invasive species management&lt;/a&gt; and &lt;a href="https://doi.org/10.15468/yj2vvf"&gt;Arizona State University Herpetology Collection (2020)&lt;/a&gt;. &lt;/p&gt;

&lt;p&gt;Methods for processing the data: Data was deduplicated by locality and date (if two points were from the same locality but on a different date, both were retained). &lt;/p&gt;&lt;p&gt;The data is presented in UTM NAD83 12S coordinate system.&lt;/p&gt;
&lt;p&gt;See &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=9769"&gt;README&lt;/a&gt; for information on variables and abbreviations.&lt;/p&gt;
description: Microsoft Excel
DOI: 10.48349/asu/iknuhc
title: Replication Data for: Implications of barrier ephemerality in geogenomic research

description: 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.
DOI: 10.48349/asu/46jwex
title: Zelinski Lab: Rhesus Macaque Ovary

description: &lt;p&gt;
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 (&lt;a href="https://mother-db.org"&gt;https://mother-db.org&lt;/a&gt;) of ovary tissue histology digital images, funded by NSF (DBI-2054061).
&lt;/p&gt;
&lt;/p&gt;
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.
&lt;/p&gt;
See the &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=32181"&gt;README&lt;/a&gt; for an overview of the dataset, including naming conventions.
DOI: 10.48349/asu/buau3e
title: Zelinski Lab: Cynomolgus Macaque Ovary

description: &lt;p&gt;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).
&lt;/p&gt;
&lt;p&gt;
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.&lt;/p&gt;

See the &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=27428"&gt;README&lt;/a&gt; for an overview of the dataset, including naming conventions.
DOI: 10.48349/asu/km2qzq
title: Zelinski Lab: Japanese Macaque Ovary

description: &lt;p&gt;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 (&lt;a href="http://mother-db.org"&gt;https://mother-db.org&lt;/a&gt;) of ovary tissue histology digital images funded by NSF (DBI-2054061).&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;See the &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=10645"&gt;README&lt;/a&gt; for an overview of the dataset, including file naming conventions.&lt;/p&gt;
DOI: 10.48349/asu/zclkt6
title: Computational manikin for radiation simulation (male and female models covering 1-99% BMI and height diversity in US)

description: &lt;p&gt;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 &lt;a href="http://www.cdc.gov/nchs/nhanes.htm"&gt;The National Health and Nutrition Examination Survey (NHANES)&lt;/a&gt; using the Manikin Fetcher tool from &lt;a href="http://tools.openlab.psu.edu/tools/fetcher.php"&gt;Open Design Lab&lt;/a&gt;. All manikins have simplified "mitten-finger" hands with effective radiation areas corresponding to the "average hand."&lt;/p&gt;
&lt;p&gt;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 "&lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=27556"&gt;percentile to value&lt;/a&gt;" (PDF).&lt;/p&gt;
&lt;p&gt;See the &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=27563"&gt;README&lt;/a&gt; for additional information.&lt;/p&gt;
description: Comsol Multiphysics, 5.6 or 6.0
description: MeshLab
DOI: 10.48349/asu/zcem6w
title: Microplastics Images dataset

description: This dataset is a collection of images of microplastics. Microplastics are small fragments of plastic (&lt;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
DOI: 10.48349/asu/scxuiw
title: Replication Data for: In situ Raman Spectroscopy of Microwave Synthesis of Inorganic Compounds
title: TiO2 anatase to rutile proof-of-concept study

description: &lt;p&gt;TiO2 anatase to rutile proof-of-concept study&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;Dataset contains 7 delimited data files (.csv, .tab) and 6 MATLAB live scripts (.mlx).&lt;/p&gt;

&lt;p&gt;See &lt;a href="https://dataverse.asu.edu/file.xhtml?fileId=27565"&gt;README&lt;/a&gt; for additional information.&lt;/p&gt;
description: Matlab, R2021B (Mathworks)
description: Excel
description: GRBL, https://github.com/grbl/grbl
DOI: 10.48349/asu/wlv8ja
title: WallStreetBets Subreddit dataset

description: This dataset is an extract of the &lt;a href="https://www.reddit.com/r/wallstreetbets/"&gt;subreddit /s/wallstreetbets&lt;/a&gt; from the website &lt;a href="https://www.reddit.com"&gt;Reddit.com&lt;/a&gt;. 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).
DOI: 10.48349/asu/njoznu
title: Homeless Management Information System (HMIS) Usage

description: This dataset is derived from the &lt;a href="https://community.solari-inc.org/homeless-management-information-system/"&gt;Homeless Management Information System (HMIS)&lt;/a&gt;, 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) available to them. Suggested dataset use is for unsupervised learning tasks.
DOI: 10.48349/asu/6wn9sk
title: Parler and the Road to the Capitol Attack: Parler Influencer Dataset

description: &lt;p&gt;This dataset consists of publicly available Parler posts of prominent and prolific Parler users, selected for their influence on the platform as determined by either their close ties to the Trump White House or President Trump’s presidential campaign, or links to militia groups such as the Proud Boys, Oath Keepers, and Three-Percenters. This specially curated dataset of Parler influencers contains approximately 40,000 posts, with about 30,000 containing text. While this sample cannot be categorized as representative because it is small relative to the roughly 183 million Parler posts in publicly available datasets, it does offer a window into how key Trump supporters framed their concerns about the elections and other polarizing causes that roiled the nation in the lead up to January 6. &lt;/p&gt;

&lt;p&gt; The dataset supports the report &lt;a href= "https://www.newamerica.org/future-frontlines/reports/parler-and-the-road-to-the-capitol-attack/vi-what-the-parler-metadata-tells-us"&gt;Parler and the Road to the Capitol Attack&lt;/a&gt;, the first in a series of investigations into the impact of the "alt-tech" movement on U.S. national security. The report presents an initial snapshot of observations culled from an ongoing analysis of open source data related to the January 6, 2021, United States Capitol attack.&lt;/p&gt;

&lt;p&gt;Funded by New America Foundation&lt;/p&gt;

&lt;p&gt;Dataset is comprised of approximately 200 JSON files totaling 83 MB&lt;/p&gt;
&lt;p&gt;For the creation of the dataset and for analysis, the team used Python programming language and the &lt;a href="https://pandas.pydata.org/"&gt;pandas Data Analysis Library.&lt;/a&gt;&lt;/p&gt;
description: Python
description: panda Python Data Analysis Library
DOI: 10.48349/asu/omasm4
title: Replication Data for: Ultra Low Cost Carrier Airports 2019

description: &lt;p&gt;This dataset contains all of the final dependent and independent variables for replicating both regression analyses (logit and OLS) in Taplin et al. (2023)'s analysis of 2019 Ultra Low Cost Carrier (ULCC) service at the airport level. The rows of the dataset are Part 139 airports that had commercial, non-charter airline service in 2019. The final sample sizes are: n=471 for the logit regression (using all Part 139 airports in the lower 48 states with and without ULCC service); and n=178 for the OLS regression (using only those with ULCC service).&lt;/p&gt;

&lt;p&gt;This research is partially funded by the Graduate Research Award Program on Public-Sector Aviation Issues of the Airport Cooperative Research Program (ACRP), which is administered by the Transportation Research Board (TRB).&lt;/p&gt;
description: SPSS
description: Microsoft Excel
DOI: 10.48349/asu/3xrfzd
title: Replication Data for: Courtship of the Pipevine Swallowtail Butterfly

description: &lt;p&gt;The data support &lt;a href="https://doi.org/10.1101/2023.04.03.535474"&gt;a manuscript&lt;/a&gt; describing the detail of the courtship behavior of a swallowtail butterfly and a test of the hypothesis that the male's behavior in courtship has evolved to enhance the visibility to the female of his brilliant and highly directional iridescent color signal.&lt;/p&gt;
&lt;p&gt;The data are summarized in spreadsheets and metadata. README documentation files provide the methodology and variable information. Change view from 'Table' to 'Tree' to see spreadsheets and corresponding documentation file organization. &lt;/p&gt;
description: Microsoft Excel