Arizona State University Research Data Repository
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Arizona Hospital Syndromic Surveillance
No full textDifferent from hospital discharge data, hospital syndromic surveillance in AZ is part of a larger, federal system called the National Syndromic Surveillance Program (NSSP). Several but not all hospitals in AZ are part of the program. Other federal health agencies like Indian Health Services (HIS) and the VA do not participate. These data can help identify trends in disease symptoms among patients coming to the emergency department or being admitted as inpatients. These data are not maintained in the Honest Broker and requests are fulfilled similar to immunization registry data request, on an ad hoc basis.
To request health data:
ASU Request Form </p
Data Compendium: Vulnerability of California electricity system assets to wildfires and post-wildfire debris flows
No full textThe data are project results for current and future wildfire and post-fire debris flow threat to electrical infrastructure in California. The project assessed conditions using current and future fire data from Cal-Adapt, and current and future wildfire and post-fire debris flow threat from Li and Chester (doi: 10.1088/2634-4505/acb3f5), which are publicly available. Transmission line, substation, and power generation threats were assed. The work was completed in 2024 and published as a journal article in 2025
Replication Data for: Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials
No full textThis dataset supports "Changing the default meal option at university events to reduce harmful environmental impacts: six randomized controlled trials," and includes de-identified information on the meal choices of participants at six events held across four academic institutions. The data include age, gender, education, job title, and meal choice (either plant-based or a meal with meat) from 363 event attendees.
This dataset includes the CSV spreadsheet, Stata analytical code that generated the manuscript tables and figures, survey instrument, and related documentation.</p
Replication Data for: Characterization of human extreme heat exposure using an outdoor thermal manikin
No full textThis dataset provides information for outdoor experiments from summer 2023 on convection and radiation measurements using ANDI, the thermal manikin. Heat transfer coefficients for all 35 manikin zones as well as grouped by anatomical zones (e.g., thigh) with relevant wind conditions are available. Programs for calculation on the heat transfer coefficients, turbulence variables (intensity and length scale) and example data set are also provided
Russian Paramilitary and Ultranationalist Activist Groups on VKontakte, 2019-2022
No full textThis dataset consists of open source user data collected from the Russian social media platform VKontakte during two periods. The first period of collection was between November 2019 and January 2021, while the second period was between September and October 2022.
In the first period, target groups were monitored for slightly over a year, and new users were collected in batches. As a result, there should theoretically be no duplicates, as each subsequent tranche of collection should consist only of new users who joined since the prior collection period.
In the second period in 2022, user lists for target groups were identified once in early September, and collection on those groups proceeded for two months due to the time required to fully collect data from the target groups.
In both phases of collection, we targeted VKontakte groups of interest associated with communities of Russian paramilitary groups and/or ultranationalist activists, finding considerable overlap in membership among these groups.
During the 2019-2021 collection, we targeted the then-principal VKontakte group associated with the Russian paramilitary Wagner Group, called "PMC Wagner-Military Review" (ЧВК Вагнера - военное обозрение), along with associated groups such as the Nordic Resistance Movement (Nordiska motståndsrörelsen), Evil Novorossiya (Злая Новороссия), Rusich (ДШРГ Русич), the Russian Imperial Movement (Русское Имперское Движение), and others. In this period, we collected data from 11,071 users in the Wagner Group, 3,368 from Rusich, and 3,582 from the Russian Imperial Movement.
In the 2022 collection, we targeted only three groups: the same "PMC Wagner-Military Review" VKontakte group, the largest existing group for Rusich, and the main group for the Russian Imperial Movement. In this later phase, we were able to collect the complete membership of the Rusich and Russian Imperial Movement groups, consisting of 10,139 and 21,296 users, respectively, but only a subset of the Wagner Group, representing around 10 percent of its then-membership (23,181 users out of a total of approximately 220,000), due to changes in the group's privacy settings. Note that some of these collected users were deleted or banned, resulting in blank data for those accounts. The significant increase in group membership between the two collection periods demonstrates the considerable expansion of these groups in the interim period.
These groups were specifically targeted due to their association with Russian paramilitary organizations and ultranationalist activism, which are of significant interest to researchers studying these phenomena. As stated in the related report, "Our initial questions about the motivations and social ties of Wagner fighters had led us to a cadre of individuals who appeared to perform military tasks that were similar to that of Russian special forces field commanders. Moreover, the sheer volume of data they posted and the clues extant in both the content and the metadata of their posts in many cases allowed us to trace their movements in space and time in Ukraine and in some cases hotspots around the world. We decided, therefore, to focus on analyzing user profile information and demographics that might reveal more about the strength of network ties between the Wagner Group, Rusich, and the Russian Imperial Movement."
However, it should be noted that the data collection process was limited by the privacy settings of some groups and the availability of data on the platform, particularly in the case of the "PMC Wagner-Military Review" group in the 2022 collection period.</p
Current and Future Post-fire Debris Flow Risk and Roadway Vulnerability in California
No full textThe data are project results for current and future post-fire debris flow assessment of the state of California. The project model was developed largely in 2019-2020 using current and future fire and precipitation data from CalAdapt, USGS watershed geography and geologic characteristics, and roadway data, all publicly available. The work was initially published by UCLA as a technical report (2020) and later refined and published as a journal article (2023)
Wagner Group and Affiliated Paramilitary Telegram Channels, 2022-2024
No full textThis dataset consists of open source data collected from various Telegram channels between July 2022 and January 2024. The targeted channels were selected based on ongoing monitoring and their known associations with the Wagner Group and linked paramilitary groups fighting on behalf of Russia. The evidence for these associations is extensive, with one notable indicator being that these channels routinely publish original content about or directly from these groups before anyone else, which is subsequently verified.
Telegram channels targeted for data collection include (a complete list is included in the README):
REVERSE SIDE OF THE MEDAL (rsotmdivision)
Alex Parker Returns (apwagner)
GRAY ZONE (grey_zone)
Afrika Corps / Африканский Корпус (KorpusAfrica)
TopaZ Speaks☠️ / Говорит ТопаZ☠️ (Topaz_Govorit)
GENTLEMEN / ДЖЕНТЛЬМЕНЫ (gentlemenGK)
DSHRG Rusich / ДШРГ Русич (dshrg2)
Prigozhin's Cap / Кепка Пригожина (Prigozhin_hat)
Wagner's Orchestra | Wagner / Оркестр Вагнера | Wagner (orchestra_w)
Detachment "Tuning Fork Akhmat" / Отряд «Камертон Ахмат» (kamerton_press)
Prigozhin's Press Service / Пресс-служба Пригожина (concordgroup_official)
Unloading Wagner / Разгрузка Вагнера (razgruzka_vagnera)
SPbGKO Convoy / SPbGKO Конвой (convoywe)
PMC Wagner. Briefs. / ЧВК Вагнер. Сводки. (VAGNER_svodki)
There are two different collections related to the Rusich group. The first collection, dating from summer 2022, preserves content from an earlier Rusich channel that was removed by Telegram in fall 2022 for violating terms of service. The second collection, DSHRG Rusich / ДШРГ Русич (dshrg2), was created concurrently with the prior group's ban.
The collected groups include the two main channels Yevgeny Prigozhin used throughout his final years of life, including the ones he posted to during his short-lived mutiny in June 2022. As such, these channels represent a chronological record of that historic event. Several other channels, such as Alex Parker Returns, purported to participate in the mutiny as well.
The data collection process involved gathering publicly available posts and comments from these Telegram channels at various points between July 2022 and January 2024. The dataset provides a unique insight into the activities and communications of these groups during the specified period, including the transition of the Rusich group from one channel to another due to Telegram's content moderation actions.
***The format of the collected data varies depending on the time of collection. Earlier collections are stored as .CSV files with dates written into the filenames, while later ones are stored as .html files in directories labeled by collection date. ***
The dataset does not contain individual user data; it consists solely of the publicly available posts and comments from the targeted Telegram channels. The content shared on these Telegram channels is often graphic and may contain information related to ongoing conflicts.</p
Data for "Plan evaluation for heat resilience: Complementary methods to comprehensively assess heat planning in Tempe and Tucson, Arizona"
No full textThis is the final results of the Plan Quality Evaluation for Heat Resilience and Plan Integration for Resilience ScorecardTM for Heat as applied to the City of Tempe and City of Tucson, Arizona.
The Plan Quality Evaluation for Heat Resilience methodology follows best practices for plan content analysis. The assessment has two components: the Quality Principles Evaluation and the Heat Strategies Evaluation.
For the Quality Principles Evaluation, we assess whether plans meet 56 criteria spanning seven principles as outlined in Meerow and Woodruff (2020) and Keith and Meerow (2022): goals, fact base, strategies, implementation and monitoring, coordination, public participation, and uncertainty. We code each plan using a binary assessment for all criteria, 1 if the criterion is met in the plan, 0 if it is not.
The goals principle examines whether plans have a clear purpose, vision, objectives, and heat-specific aims. The fact base principle reflects the informational basis of the plans, including heat-relevant data. The strategies principle looks for heat-specific actions and whether the costs, co-benefits, and trade-offs of these actions are discussed. The implementation and monitoring principle assesses characteristics that make it likely actions are executed and tracked. The coordination principle examines which stakeholders are involved in the planning process, while the public participation principle focuses on how the broader public was engaged. The uncertainty principle considers whether plans account for future uncertainties, which is critical for climate change planning.
The Heat Strategies Evaluation includes 27 subcategory criteria spanning eight categories of heat mitigation and management strategies (Table A2, supplementary material; Keith and Meerow 2022). Criteria are scored a 0 if the plan does not discuss that strategy type, 1 if it does discuss it, and an additional 1 (2 total) if the strategy is explicitly linked to heat.
Two researchers independently coded each plan, and the full team then discussed any discrepancies. Following best practices for plan evaluation, we calculated intercoder reliability indicators, including the percent agreement and Krippendorf’s Alpha (Krippendorff 2004, Stevens et al 2014), all of which were well above Stevens et al.’s (2014) recommended minimums for plan evaluations with many, highly distributed items.
The Plan Integration for Resilience Scorecard™ (PIRS™) is a method for analyzing the policies, or specific action items, within a network of plans and spatially assessing their combined effect on hazard risks. PIRSTM was first developed for flood hazards by Berke et al (2015), refined and translated into practice by Malecha et al (2019), and has since been applied in a variety of communities in the US and internationally (Yu et al 2020), used in different research contexts, and endorsed by the American Planning Association (DeAngelis et al 2021). Keith et al. (2023b, 2022) first adapted PIRS™ to the specific challenges of heat hazards, piloting the resulting PIRS™ for Heat in five climatically diverse US cities.
To apply PIRS™ for Heat, two researchers independently read each plan and record all land use policies that 1) have the potential to mitigate or exacerbate heat; 2) include a recognizable policy tool, or means for implementation; and 3) are spatially explicit or mappable. These policies are then categorized based on the policy tool and heat mitigation strategy they most closely align with and scored based on their potential effect on heat risks. Policies are scored +1 if they have the potential to mitigate heat, -1 if they would likely exacerbate it, 0 if they would have a neutral effect, and ‘Unknown’ if they would likely affect heat, but it is impossible to determine whether it would be positive or negative with information included in the plan. Policies and scores are reconciled between the researchers and any discrepancies resolved by consensus of the full team.
Policy scores are then assigned to the census tracts where they would apply using the information in the plans and additional geospatial datasets. For example, if a policy states that vegetation will be added along a road, the research team would use a map to determine which census tracts that road runs through, and those tracts would receive a score of +1 from that policy. Some policies apply to the whole city and are assigned to all tracts. Positive and negative scores are then summed for each tract to determine the “net score,” revealing spatial patterns in heat-relevant policy attention.</p
Replication Data for: Crystal structure of Au-pseudocarbyne(C6)
No full textThis dataset consists of experimental raw data collected from Au-pseudocarbyne samples that were investigated in a study to explore their crystal structures. Publication of the results, which are entitled "Crystal structure of Au-pseudocarbyne(C6)", has been accepted by the journal of Scientific Reports.
The study is part of a research project "Pseudocarbynes: A New Class of Carbon-chain Materials", which was financially sponsored by the Keck Foundation and conducted primarily at Arizona State University.
The dataset contains one powder x-ray diffraction (XRD) pattern, nineteen raw images/ spectra/ electron-diffraction-patterns from (scanning) transmission electron microscopy ((S)TEM), and one CIF file for the optimized crystal structure of Au-pseudocarbyne(C6), which is a gold-stabilized, C6-chain-based member of the pseudocarbyne family.</p
Longitudinal survey of physical activity policies and practices in Arizona elementary schools
No full textA longitudinal survey of physical activity policies and practices in Arizona elementary schools administered via online questionnaire each fall since 2020