Near‐Surface Air Temperature Profile in Maritime Antarctica (2006–2023) by Miguel Angel dePablo

“…These include investigating snowpack thermophysical properties, ground‐atmosphere energy exchanges, snow hydrology, ecological processes, and remote sensing calibration. Raw data in American Standard Code for Information Interchange (ASCII) format, without filtering or preprocessing, are made available to ensure flexibility for diverse research needs, allowing users to apply tailored cleaning and analysis protocols. …”
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Performance measures of the medical priority dispatch system in an urban basic life support system by Vittorio Nicoletta, Maxime Robitaille-Fortin, Valérie Bélanger, Éric Mercier, Jessica Harrisson

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Encouraging reusability of computational research through Data-to-Knowledge Packages - A hydrological use case [version 2; peer review: 2 approved] by Markus Konkol, Sami Domisch, Astra Labuce, Vanessa Bremerich, Merret Buurman

“…Users still need to make considerable efforts to understand the data and analysis code before they can reuse these components in other contexts. …”
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Global Navigation Satellite System Spoofing Attack Detection Using Receiver Independent Exchange Format Data and Long Short-Term Memory Algorithm by Alexandru-Gabriel Romaniuc, Vlad-Cosmin Vasile, Monica-Elena Borda

“…The GNSS spoofing attack, for example, is one of the most widespread in this domain and is used to manipulate positioning and timing data by transmitting counterfeit signals. Thus, in this study, we propose a method for analyzing and detecting anomalies in RINEX observation data that is associated with spoofing attacks. …”
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Data extraction methods for systematic review (semi)automation: Update of a living systematic review [version 3; peer review: 3 approved] by Rebecca Elmore, Luke A. McGuinness, James Thomas, Julian P. T. Higgins, Ailbhe N. Finnerty Mutlu, Babatunde K. Olorisade, Lena Schmidt

“…Over 30 entities were extracted, with PICOs (population, intervention, comparator, outcome) being the most frequently extracted. Data are available from 53 (45%), and code from 49 (42%) publications. …”
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Geographic disparities and temporal trends in Clostridium difficile Enterocolitis mortality among United States adults from 1999 to 2020 using CDC data by Hafsa Shahid, Alia Iftikhar, Fatima Sial

“…This study analyzes CDC data from 1999 to 2020 to assess long-term mortality trends and identify disparities. …”
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OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

“…In addition, we provide the code so that users can retrain the algorithm and re-establish hyperparameters based on any data they choose, allowing for this method to be expanded as additional data is generated. …”
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Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana by Jessica D. Rothstein, Larissa Jennings, Anitha Moorthy, Fan Yang, Lisa Gee, Karen Romano, David Hutchful, Alain B. Labrique, Amnesty E. LeFevre

“…Fourteen interviews and two focus groups with CHNs, midwives, and district health officers were conducted, coded, and thematically analyzed. Results indicated that the app was easily integrated into care, improved CHN productivity, and was acceptable due to its capacity to facilitate client follow-up, data reporting, and decision-making. …”
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Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data by Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou, Xueqiang Zhao

“…Accurately monitoring disaster effects is a crucial task in relief efforts (e.g. typhoon rescue). Social media data plays a vital role in disaster management, while deep learning-based methods gain more attention in typhoon disaster research. …”
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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach by Ji Hyun Lee, Hyun Woo Lee, Hyo Jin Lee, Tae Yun Park, Kwang Nam Jin, Dong Hyun Kim, Borim Ryu

“…Abstract This study investigated and validated all-cause in-hospital death prediction models for hospitalized pneumonia patients based on large-scale clinical data, including diagnoses, medication prescriptions, and laboratory test codes. …”
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Quantifying the Thermal and Energy Impacts of Urban Morphology Using Multi-Source Data: A Multi-Scale Study in Coastal High-Density Contexts by Chenhang Bian, Chi Chung Lee, Xi Chen, Chun Yin Li, Panpan Hu

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Diving into the past: tools for recovering historic dive traces from film-based time depth recorders using data from Weddell seals by EmmaLi G. Tsai, Dylan W. Schwilk, Michael A. Castellini, Jennifer M. Burns

“…Our recovery methods are published as open-source code in an R package. Conclusions This tool will assist in recovering dive data from historic Kooyman–Billups TDRs and from similar devices of this time, which recorded data for at least 14 different species. …”
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Characterizing the neighborhood risk environment in multisite clinic-based cohort studies: A practical geocoding and data linkages protocol for protected health information. by Ariann Nassel, Marta G Wilson-Barthes, Chanelle J Howe, Sonia Napravnik, Michael J Mugavero, Deana Agil, Akilah J Dulin

“…<h4>Background</h4>Maintaining patient privacy when geocoding and linking residential address information with neighborhood-level data can create challenges during research. Challenges may arise when study staff have limited training in geocoding and linking data, or when non-study staff with appropriate expertise have limited availability, are unfamiliar with a study's population or objectives, or are not affordable for the study team. …”
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Role of pre-existing adversity and child maltreatment on mental health outcomes for children involved in child protection: population-based data linkage study by Miriam Jennifer Maclean, Scott Anthony Sims, Melissa O'Donnell

“…Objectives To determine mental health outcomes for children with a history of child protection system involvement, accounting for pre-existing adversity, and to examine variation in risk across diagnostic groupings and child protection subgroups.Design A longitudinal, population-based record-linkage study.Participants All children in Western Australia (WA) with birth records between 1990 and 2009.Outcome measures Mental health diagnoses, mental health contacts and any mental health event ascertained from International Classification of Diseases codes within WA’s Hospital Morbidity Data Collection and Mental Health Information System from birth until 2013.Results Compared with children without child protection contact, children with substantiated maltreatment had higher prevalence of mental health events (37.4% vs 5.9%) and diagnoses (20% vs 3.6%). …”
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Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature by Lizhi Zhang, Qiang Zhang, Qianqian Yang, Linwei Yue, Jiang He, Xianyu Jin, Qiangqiang Yuan

“…The results also show that the method is sensitive to early-stage fire events and can be applied in the task of near-real-time wildfire detection with 10-minute Himawari-8/9 satellite data. The data and codes used in the study are detailed in: https://github.com/eagle-void/MSSTF.…”
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Epidemiology of endometriosis in Kazakhstan: a national population-based cohort analysis (2014–2019) using data from the national electronic healthcare system by Gulzhanat Aimagambetova, Yesbolat Sakko, Talshyn Ukybassova, Milan Terzic, Milan Terzic, Aizada Marat, Nazira Kamzayeva, Arnur Gusmanov, Gulnur Zhakhina, Sauran Yerdessov, Kamilla Mussina, Dmitriy Syssoyev, Abduzhappar Gaipov, Abduzhappar Gaipov

“…The International Classification of Diseases (ICD) 10th edition was used to retrieve data on endometriosis (“N80” and “N97”). ICD 9th edition’s procedural codes were utilized to retrieve information on surgical procedures performed to manage patients with endometriosis.ResultsIn total, 7,682 records of women diagnosed with endometriosis were analyzed from all Kazakhstani regions. …”
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Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data. by Aaron S Karat, Mpho Tlali, Katherine L Fielding, Salome Charalambous, Violet N Chihota, Gavin J Churchyard, Yasmeen Hanifa, Suzanne Johnson, Kerrigan McCarthy, Neil A Martinson, Tanvier Omar, Kathleen Kahn, Daniel Chandramohan, Alison D Grant

“…International Classification of Diseases (ICD) codes do not differentiate between HIV-associated TB and HIV more generally. …”
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Temporal Trends of Maternal Mortality Due to Obstetric Hemorrhage in Chinese Mainland: Evidence from the Population-Based Surveillance Data Between 2000 and 2019 by Yi Mu, Jun Zhu, Yanping Wang, Jiani Zhang, Mingrong Li, Peiran Chen, Yanxia Xie, Juan Liang, Xiaodong Wang, Dandan Shi

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Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer by Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal, Enrique Velazquez-Villarreal

“…To address this gap, we developed AI-HOPE-WNT, the first conversational artificial intelligence (AI) agent purpose-built to investigate WNT signaling in CRC using natural language–driven, integrative bioinformatics.MethodsAI-HOPE-WNT employs a modular architecture combining large language models (LLMs), a natural language-to-code engine, and a backend statistical workflow interfaced with harmonized data from cBioPortal. …”
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A comparison between the self-report of chronic cardiovascular diseases with health insurance data: insights from the population-based LIFE-Adult study by Samira Zeynalova, Peter Worringen, Stefan Bassler, Anja Martin, Katrin Czech, Lars Greulich, Matthias Reusche, Ute Enders, Nigar Reyes, Maryam Yahiaoui-Doktor, Matthias Collier, Markus Loeffler, Tina Stegmann

“…Two health insurance companies provided ICD-10-GM codes. The agreement between the self-reports and health insurance data (HID) was examined by calculating sensitivity, specificity, Cohen`s Kappa, positive and negative predictive values. …”
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