cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60773/v1k1-md20
title: COVID-19 Test At Home Feasibility Sub-Study

description: The purpose of this feasibility study is to gather knowledge that will inform a future larger study using at-home SARS-CoV-2 testing and digital tools. This study will: 1) Test the feasibility of daily home SARS-CoV-2 testing using the the Quidel QuickVue device; 2) Test whether a smartphone app (CareEvolution MyDataHelps) designed to support at-home testing is acceptable and usable; and 3)Examine other key process metrics and variables important to the design of a larger randomized trial. In particular, the feasibility of the Quidel Quickview home test and the digital app will be assessed through data on the number of home SARS-CoV-2 tests performed and number of home SARS-CoV-2 tests transmitted through the mobile health app. Secondary outcomes of importance are: (1)participant self-reported overall usability of the app-supported at-home testing system; (2) participant self-reported acceptability of the at-home test and smartphone app using the net promoter scale; (3) participant self-reported quality of the CareEvolution MyDataHelps app will be using the uMARS (Mobile app rating scale); and (4) concordance between self-interpretation and study-team interpretation of self-test SARS-CoV-2 results. This is a feasibility study that enrolled an observational cohort into an intervention only arm of future cluster RCT.
DOI: 10.25549/examiner-c44-38915
title: Lost in canyon ... Camp Rincon, San Gabriel Canyon, 1952

description: 3 images. Lost in canyon ... Camp Rincon, San Gabriel Canyon, 24 May 1952. Marilyn Joanne Martin (eating sandwich after being brought to camp); Deputy Sheriff Roy P. Wilkins (step-father).
DOI: 10.60773/7h8k-bz16
title: Rolosense: An Innovative Platform for Automatic Mobile Phone Readout of Active SARS-CoV-2

description: The data we will share will include the response of sensor to different concentrations of pseudovirus and inactivated SARS-CoV-2 virus samples. We will measure sensitivity and specificity of the response. We will also measure role of matrix and buffer conditions on assay response.
DOI: 10.60773/an3v-wq86
title: Epidemiologic Intelligence Network (EpI-Net) to Promote COVID-19 Testing and Prevention Practices Among Socially Vulnerable Communities in Puerto Rico

description: In Puerto Rico (PR), the first COVID-19 case was confirmed early March 2020. To date cases have exponentially increased partly due to the lifting of locked-down restriction by the PR government, limited COVID-19 testing, and contact tracing. Puerto Ricans living on the island are particularly vulnerable to the current overlapping of the COVID-19 pandemic and natural disasters (earthquake, hurricanes/storms). Limited access to molecular COVID-19 testing throughout PR has been a significant challenge. Without adequate testing, estimates for SARS-CoV-2 (COVID-19) infection rates are limited and targeted prevention efforts (focused testing) may hinder. A group of epidemiologists led by Dr. Marzán (MPI) developed a web-based COVID-19 Epidemiologic Surveillance System (ESSS) in collaboration with the Puerto Rico Public Health Trust (PRPHT, community partner for this grant) with more than 46,000 surveys completed. The ESSS tool is an online geocoded survey that identifies real-time data of COVID-19 signs and symptoms during the last 24 hours; and thus, prioritizes communities for COVID-19 testing. Leveraging the current PHSU-PRI COVID-19 prevention efforts and the ESSS infrastructure, the research team will test the preliminary impact of an epidemic intelligence (EpI-Net) community-based intervention aimed at increasing COVID-19 testing uptake and prevention practices among socially vulnerable communities in PR. The working hypothesis is that the integration of lay community leaders, trained in the use of COVID-19 prevention technology tools (EpI-Net), will result in increased COVID-19 testing uptake and prevention practices among the targeted socially and epidemiologically vulnerable communities in Puerto Rico. This highly innovative and impactful study will shift current COVID-19 prevention strategies by 1) establishing an epidemic intelligence infrastructure using a technology-based COVID-19 syndromic surveillance (ESSS) platform to identify in real time potential COVID-19 outbreaks and, thus, conduct targeted COVID-19 testing, 2) by implementing a population-based COVID-19 prevention intervention (EpI-Net) co-led by epidemiologists and lay community leaders trained as health promotors.
DOI: 10.60773/y7xk-ma85
title: Assessing Testing Strategies for Safe Return to K-12 Schools in an Underserved Population

description: In this proposal, we will test the hypothesis that frequent screening testing will provide additional benefit, beyond current school-based mitigation strategies, to prevent SARS-CoV-2 transmission. We will complete a cluster randomized trial to compare the incidence of school-based SARS-CoV-2 transmission between weekly surveillance testing of students and school staff versus testing only symptomatic students and staff. In this proposal, 12 middle and high schools from five predominantly African-American school districts in the St. Louis metropolitan area will be cluster randomized to screening testing plus symptomatic testing versus symptomatic testing alone. We will perform qualitative listening sessions and interviews with members of the school community including parents, teachers, administrators, and students to understand the facilitators and barriers to testing, the concerns regarding in-person school, and potential issues involving vaccine hesitancy evident in all populations and groups.This study will provide critically needed, rigorous data to inform the utility of screening testing in schools and if it is important in aiding schools in the African-American community to return to in-person instruction. Additionally, the measurements of school-based transmission rates will help participating schools in the African-American community assess the impact of their mitigation strategies, demonstrate potential risk points for transmission that can be targeted for further intervention, and reassure the community on the safety of their schools. Finally, the study results will aid participating researchers, school districts and communities in understanding how to mitigate concerns about in-person schooling and the reliability of the mitigation strategies (with or without screening testing) in preventing COVID-19 transmission.
DOI: 10.25549/examiner-c44-39376
title: Pasadena High Schools badminton tournament, 1952

description: 11 images. Pasadena High Schools badminton tournament, 19 May 1952. Carlene Hester, 15; Gwyn Garnsey, 15; Roger Samuelsen, 15; Lani Axton, 15; Fred Nelson, 14; Mrs. Carol Nelson; Bob Hope, 15; Larry Sundstrom, 16; Charlene Bernstein, 15; Paul H. Wood, Department of Recreation Director.; Caption slip reads: "Photographer: Mercurio. Date: 1952-05-19. Reporter: Ostler. Assignment: Badminton. Pasadena. 156: General view of double badminton game between girls under 18 years class. Players on far side, Carlene Hester, 15, and Gwen Garnsey, 15, both of Pasadena's Eliot Junior High School. 157: Gwen Garnsey and Carlene Hester in doubles match. 120: Carlene Hester smashes one over net. Team mate is Gwen Garnsey. They won the match and the city's doubles championship. 119: Roger Samuelsen, 15, and Lani Axton, 15, both of Pasadena's Marshall Junior High School, seen in doubles match which they won. Both were awarded trophies for winning the doubles match and the City's championship in finals last Friday at the Pasadena City College Gym. 116-200: Seen in tournament action is Fred Nelson, 14, of the Huntington Junior High School, San Marino. Nelson, who lives in San Gabriel went on to win the match and the city championship in his division. 201: Mrs. Carol Nelson, kisses son Fred Nelson after he had won the city championship in his division".; Caption slip continues: "5-6: Fifteen-year-old Bob Hope, 15, of Pasadena's John Marshall Junior High School, seen in city's tournament finals. He lost a close match to Larry Sundstrom, 16, of Washington Junior High School. 19-20: Charlene Bernstein, 15, of Marshall Junior High School, seen in jump shot in Pasadena City badminton finals.117: Paul H. Wood, Pasadena Department of Recreation director and chairman of the Badminton Tournament, is seen with Carlene Hester, 15, of Eliot Junior High School and Larry Sundstrom, 16, Washington Junior High School, winners of the singles matches in their respective divisions. 60-61: Carlene Hester, 15, of Eliot Junior High School, winner of her division's singles and also on a winning girl's double team, is seen in tournament action".
DOI: 10.25549/examiner-c44-3053
title: Mrs. Joyce Gaines and baby, 1951

description: 3 images. Mrs. Joyce Gaines and baby, May 3, 1951. Mrs. Joyce Gaines; Graydon Gaines (baby six weeks old).; More descriptive information with originals.
DOI: 10.5281/zenodo.11185248
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2012_229-244)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2012 (DOY: 229-244). Please click here to download the ELITE SLDR product in 2013 (DOY: 245-259).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2012-08-16 ~ 2012-08-31

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


Citation(Please cite these papers when using the data):



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129. 

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


 

If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11185249
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2012_229-244)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2012 (DOY: 229-244). Please click here to download the ELITE SLDR product in 2013 (DOY: 245-259).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2012-08-16 ~ 2012-08-31

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


Citation(Please cite these papers when using the data):



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129. 

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


 

If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.60773/n1eh-8t78
title: COVID-19 Detection through Scent Analysis with a Compact Gas Chromatography Device

description: Recent studies, including ours, have suggested that breath may allow us to diagnose COVID-19 infection and even monitor its progress. As compared to immunological and genetic based methods using sample media like blood, nasopharyngeal swab, and saliva, breath analysis is non-invasive, simple, safe, and inexpensive; it allows a nearly infinite amount of sample volume and can be used at the point-of-care for rapid detection. Fundamentally, breath also provides critical metabolomics information regarding how human body responds to virus infection and medical intervention (such as drug treatment and mechanical ventilation). The objectives of the proposed SCENT project are: (1) to refine automated, portable, high-performance micro-gas chromatography (GC) device and related data analysis / biomarker identification algorithms for rapid (5-6 minutes), in-situ, and sensitive (down to ppt) breath analysis and (2) to conduct breath analysis on up to 760 patients, and identify and validate the COVID-19 biomarkers in breath. Thus, in coordination with the RADx-rad Data Coordination Center (DCC), we will complete the following specific aims. (1)  Refine 5 automated micro-GC devices to achieve higher speed and better separation capability. We will construct 5 new automated and portable one-dimensional micro-GC devices that require only ~6 minutes of assay time (improved from current 20 minutes) at the ppt level sensitivity (Sub-Aim 1a). Then the devices will be upgraded to 2-dimensional micro-GC to significantly increase the separation capability (Sub-Aim 1b). In the meantime, we will optimize and automate our existing data processing and biomarker identification algorithms and codes to streamline the workflow so that the GC device can automatically process and analyze the data without human intervention (Sub-Aim 1c). (2)  Identify breath biomarkers that distinguish COVID-19 positive (symptomatic and asymptomatic) and negative patients. We will recruit a training cohort of 380 participants, including 190 COVID-19 positive patients (95 symptomatic and 95 asymptomatic) and 190 COVID-19 negative patients from two hospitals (Michigan Medicine – Ann Arbor and the Henry Ford Hospital – Detroit). We will conduct breath analysis using machine learning to identify VOC patterns that match each COVID-19 diagnostic status.(3)  Validate the COVID-19 biomarkers using our refined micro-GC devices. Using the refined 2-D micro-GC devices from Sub-Aim 1b, we will recruit a new validation cohort of 380 participants (190 COVID-19 positive patients and 190 COVID-19 negative patients) to validate the biomarkers identified in Aim 2. We will leverage existing engineering, data science, clinical, regulatory, and commercialization resources throughout the project to hit our milestones, ensuring a high likelihood of rapid patient impact. Upon completion of this work, we will have a portable micro-GC device and accompanying automated algorithms that can detect and monitor COVID-19 status for people in a variety of clinical and community settings.
DOI: 10.15468/dl.6dcvmh
title: Occurrence Download

description: A dataset containing 969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammillaria huitzilopochtli D.R.Hunt"
 ]
}

 The dataset includes 969 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016213-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-5341
title: Olympic boxing, 1951

description: 5 images. Olympic boxing, May 22, 1951. Sports; preliminary: Mel Donado vs. John Malloy; main event: Art Aragon vs. Ted Davis.; More descriptive information with originals.
DOI: 10.60773/1e6t-6b11
title: Microfluidic Isolation and Characterization of SARS-CoV-2 and Virus Related Exosomes

description: Robust, efficient and reliable testing for SARS-CoV-2 is extraordinarily challenging due to our lack of ultra- sensitive assays and ever evolving knowledge of the virus. Standard PCR based assays still result in very high false negative rates in the earliest days of infection. Microfluidic processing of clinical samples is low cost and shows great promise for translating most liquid biopsy assay to the clinic. Our laboratory was one of the first to apply microfluidic technologies for the isolation of both circulating tumor cells and exosomes in the blood of patients with cancer. For SARS-CoV-2 patients, saliva, stool, and plasma are all thought to be potential resources for both virus detection as well as other clinical biomarkers that might inform us of infection. Thus, for this U18, we will optimize our exosome capture technology, the EVHB-Chip, for the isolation of intact SARS-CoV-2 virus, testing its utility for each of these biofluids. To complete this work, we will complete a full clinical validation and benchmarking of the assay. Once fully optimized, our detection assay will be compared against existing EUA SARS-CoV-2 detection assay to determine detection sensitivity and specificity. Further, we plan to demonstrate that the increased sensitivity and specificity enabled by our microfluidic device will result in earlier detection of SARS-CoV-2, reducing false negatives in this testing window. At the completion of this work, we will have collected the data training sets and submitted a full EUA plan that would enable the FDA’s authorization of our test to be used in the clinic.
DOI: 10.60773/8yrw-qt94
title: Discovery and Clinical Validation of Host Biomarkers of Disease Severity and Multi-system Inflammatory Syndrome in Children (MIS-C) and COVID-19

description: SARS-CoV-2 infection exhibits a wide range of clinical outcomes in both children and adults, from asymptomatic and mild disease to severe viral pneumonia, ARDS, acute kidney injury, thrombotic disorders, and serious cardiac, cerebrovascular and vascular complications. It is now known that severe infection can occur both in young children and young adults (<21) and that nearly 40% of those who are admitted Covid-19 require ICU support, including mechanical ventilation. One of the most severe manifestations of SARS-CoV-2 infection is the multisystem inflammatory syndrome in children (MIS-C), a serious condition associated with severe inflammation with multi-organ involvement that can result in a variety of clinical presentations including pneumonia, sepsis, coagulation abnormalities, and renal/kidney failure. Thus, novel approaches for early and accurate diagnosis of COVID-19 associated syndromes and evaluation of clinical severity and outcomes of COVID-19 disease in children are urgently needed. For this project, we will identify RNA transcriptomic and cell-free DNA omics biomarkers that will be used to develop and validate host-based assays from nasal swab and blood samples, with the goal of regulatory submission for FDA Emergency Use Authorization (EUA).
DOI: 10.60773/wtx3-4882
title: Lupus Education Alliance Program (LEAP)

description: People living with an autoimmune disease, including those with systemic lupus erythematosus (SLE), have been especially impacted by the COVID-19 pandemic. The purpose of this research project is to identify barriers and facilitators to COVID-19 testing and vaccination among people living with SLE using both qualitative and quantitative methods. We will also evaluate the efficacy of a novel peer-led intervention to enhancing these behaviors among people living with SLE and others in their household/social network using a randomized controlled trial design. The aims of this project will be achieved by leveraging an existing patient roster of over 2500 people living with SLE in Birmingham, Alabama. We also recruit people living with SLE in New Orleans, Louisiana. This research has broader implications for testing/vaccination in clinical populations.
DOI: 10.25549/examiner-c44-4142
title: Leper, 1951

description: 3 images. Leper, June 5, 1951. James V. Owen.