cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60773/6y92-jm05
title: Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology

description: Developing next generation technology to simplify wastewater RNA extraction and quantification will make wastewater surveillance feasible and scalable in facilities and rural communities. Wastewater testing for SARS-CoV-2 in rural communities using field-friendly technology will provide important information to local authorities and citizens about the spread and trend of SARS-CoV-2 infection in their communities. Our project will accomplish two aims: 1) Develop next generation wastewater assessment technology and 2) Implement and evaluate the next generation wastewater assay. For Aim 1 we adapt technology invented by our team termed exclusion-based sample preparation (ESP) to simplify and improve RNA extraction from wastewater. We will pair ESP with loop-mediated isothermal amplification (LAMP) technology for RNA detection to create a sensitive, robust, and field-friendly platform for testing wastewater for SARSCoV-2 RNA. We will compare the next generation assay with established techniques on metrics of sensitivity, specificity, and usability (e.g., assay time, number of assay steps). For Aim 2 we will first validate the next generation assay in the field at congregate living facilities in a side-by-side comparison with conventional wastewater surveillance. Next, building on existing relationships in Eastern Kentucky, we will recruit and train a purposive group of wastewater treatment plant operators, watershed watch citizen scientists, and school science teachers to test wastewater in their communities and schools using the field-friendly next generation wastewater assay. Field results will be validated in the lab. A robust mixed methods evaluation using the RE-AIM framework will assess community perceptions of feasibility, acceptability, and utility of wastewater surveillance for SARS-CoV-2 and identify community measures taken in response to test results.
DOI: 10.60773/prf9-6708
title: Minimal False-Alarm Touch-Based Detection of SARS-CoV-2 Virus Particles Using Poly-Aptamers

description: Reliable real-time detection of SARS-CoV-2 virus represents a considerable challenge, with available tools requiring extensive sample preparation and/or expensive lab-based equipment to obtain accurate results. The objective in this proposal is to build a touch-screen sensor array to directly capture, detect, and identify model SARS-CoV-2 virus particles with minimal false alarms. This ambitious goal will be achieved by the interdisciplinary team of GE Research scientists and engineers and will be a synergistic combination of the proposed innovations and the prior scientific and engineering accomplishments of the team.
DOI: 10.60773/7th6-st50
title: Development of an Automated Diagnostic Platform for SARS-CoV-2 Monitoring in Vulnerable Areas

description: The devastation caused by emerging pathogens with fast transmission capacity, such as SARS-CoV-2,  has demonstrated the importance of preparedness for future viral outbreaks; this includes the ability for fast deployment of in-situ testing tools and epidemiological surveillance with high temporal and spatial resolution; particularly in places that are most vulnerable to becoming reservoirs of infectious agents. We propose to develop a versatile multiplexing detection platform for SARS-CoV-2 in saliva. The proposed system will integrate signals from different biorecognition elements. Aptamer, antibody, and ACE2 will be immobilized onto laser inscribed graphene electrodes, and detection mechanisms targeting SARS-CoV-2 spike protein will be studied under varying testing conditions (pH, temperature, ionic strength). After determining the operating conditions for enhanced performance of each biosensor, a self-referencing approach will be used between complementary recognition elements (i.e., possible combinations of aptamers, antibodies, and ACE2 enzyme biosensors) to evaluate the effects on test results accuracy (i.e., risk of false-positive and false-negative results). A saliva pre-treatment protocol will be developed to facilitate SARS-CoV-2 testing in human saliva using the multiplex biosensor platform. An open channel microfluidics system will be designed to automatically split and channel a single saliva sample into multiple streams to the biosensors without saturation, biofouling, and pump requirement. The development of a functional and reliable multiplex biosensor system will be useful for addressing longstanding needs in public health as the respiratory Coronavirus family continues its seasonal visits, which may repeat over several decades, much like the occasional visits from the influenza virus, with varying degrees of virulence.
DOI: 10.25549/examiner-c44-3305
title: Traffic (Lincoln Boulevard between Sepulveda and Manchester), 1951

description: 5 images. Traffic (Lincoln Boulevard between Sepulveda and Manchester), June 2, 1951. Joe Abadaka; M. K. Andrews; Mrs. Alice M. Lumelius.; More descriptive information with originals.
DOI: 10.60773/fp1q-f015
title: Severity Predictors Using Immunology and Transcriptomics in Saliva Using Multi Neural Network Intelligence in SARS-CoV2 Infection in Children (SPITS MISC)

description: Children have been disproportionately less impacted by the Corona Virus Disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome Corona Virus 2 (SAR-CoV-2) compared to adults. However, severe illnesses including Multisystem Inflammatory Syndrome (MIS-C) and respiratory failure have occurred in a small proportion of children with SARS-CoV-2 infection. Nearly 80% of children with MIS-C are critically ill with a 2-4% mortality rate. Currently there are no modalities to characterize the spectrum of disease severity and predict which child with SARS-CoV-2 exposure will likely develop severe illness including MIS-C. Thus there is an urgent need to develop a diagnostic modality to distinguish the varying phenotypes of disease and  risk stratify disease. The epigenetic changes in microRNA (miRNA) profiles that occur due to an infection can impact disease severity by altering immune response and cytokine regulation which may be detected in body fluids including saliva. Our long-term goal is to improve outcomes of children with SARS-CoV-2 by early identification and treatment of those at risk for severe illness. Our central hypothesis is that a model that integrates salivary biomarkers with social and clinical determinants of health will predict disease severity in children with SARS-CoV-2 infection. The central hypothesis will be pursued through phased four specific aims. The first two aims will be pursued during the R61 phase and include: 1) Define and compare the salivary molecular host response in children with varying phenotypes (severe and non severe) SARS-CoV-2 infections and 2) Develop and validate a sensitive and specific model to predict severe SARS-CoV-2 illness in children. During the R33 phase we will pursue the following two aims: 3) Develop a portable, rapid device that quantifies salivary miRNAs with comparable accuracy to predicate technology (qRT-PCR),  and 4) Develop an artificial intelligence (AI) assisted cloud and mobile system for early recognition of severe SARS-CoV-2 infection in children. We will pursue the above aims using an innovative combination of salivaomics and bioinformatics, analytic techniques of AI and clinical informatics. The proposed research is significant because development of a sensitive model to risk stratify disease is expected to improve outcomes of children with severe SARS-CoV-2 infection via early recognition and timely intervention. The proximate expected outcome of this proposal is better understanding of the epigenetic regulation of host immune response to the viral infection which we expect to lead to personalized therapy in the future. The results will have a positive impact immediately as it will lead to the creation of patient profiles based on individual risk factors which can enable early identification of severe disease and appropriate resource allocation during the pandemic.
DOI: 10.60773/8jx9-5s54
title: A Rapid, Sensitive, Point-of-Care, Antigen-Based Diagnostics for SARS-CoV-2

description: A rapid, sensitive, low-cost diagnostic device for early detection of novel Coronavirus Disease (COVID-19) can significantly change the paradigm in real-time and efficient management of patients and available healthcare resources specifically during this time of increased demand for hospital services. The quantitative real-time polymerase chain reaction (qPCR) represents the most important method for the diagnosis of COVID-19 at its early stage of infection and before the appearance of clinical symptoms. However, qPCR-based molecular diagnostics are bulky, expensive, or lab-based, or require trained personnel for system operation. The majority of the FDA EUA-approved COVID diagnostics are PCR-based which require nucleic acid extraction and amplification and thermal cycling. Such systems also require relatively expensive/bulky equipment for sample processing. Recent studies have shown large variations up to 10,000 fold variations in limit of detection (LoD) of some of the nucleic acid-based and antigen-based COVID-19 diagnostics currently approved under emergency use authorization (EUA). Therefore, there is still a need in developing POC diagnostics and particularly antigen-based SARS-CoV-2 detection devices with LoD comparable to PCR-based assays. The main goal of this interdisciplinary project is developing a portable diagnostic system for rapid and sensitive detection of intact SARS-CoV-2  in small volume of COVID-19 patient samples such as anterior/nasopharyngeal/oropharyngeal swab samples using an inexpensive, disposable, and mass-producible microfluidic cartridge.
DOI: 10.15468/dl.hryhej
title: Occurrence Download

description: A dataset containing 19340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ammi majus L.)"
 ]
}

 The dataset includes 19340 records from 685 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016211-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.356r65
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Gymnospermium microrrhynchum (S.Moore) Takht."
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210051-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nynjtc
title: Occurrence Download

description: A dataset containing 8474604 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird tracking - GPS tracking of Lesser Black-backed Gulls and Herring Gulls breeding at the southern North Sea coast"
 ]
}

 The dataset includes 8474604 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019845-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw5b27
title: Occurrence Download

description: A dataset containing 7347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricus augustus Fr."
 ]
}

 The dataset includes 7347 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016127-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sppst6
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus pennsylvanica Ashe",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 42 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272059-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm5gu3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is LACM",
 "TaxonKey is Canis mesomelas Schreber, 1775"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024214-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2j52ha
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austromuellera C.T.White"
 ]
}

 The dataset includes 317 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210078-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vx4qmc
title: Occurrence Download

description: A dataset listing the 108 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversidad de la apifauna de Yucatán"
 ]
}

 The dataset's 108 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016130-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxz398
title: Occurrence Download

description: A dataset containing 710233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anguilla anguilla (Linnaeus, 1758)"
 ]
}

 The dataset includes 710233 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009258-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yru4ss
title: Occurrence Download

description: A dataset containing 1084228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.83106 21.48926,105.92438 25.87322,106.40075 29.00936,105.41748 33.01025,104.18701 35.85205,102.69287 37.55127,99.646 37.49268,96.56983 37.49267,94.78272 38.66455,92.146 41.47705,90.2417 42.9126,85.87646 43.00049,76.64795 40.89111,73.80615 39.30908,74.47998 33.15674,77.49756 26.24268,90.4834 24.36035,96.34278 22.83691,97.39746 19.90722,101.85059 20.08301,106.83106 21.48926))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1084228 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210054-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qan62a
title: Occurrence Download

description: A dataset containing 8959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Microtus montanus (Peale, 1848)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8959 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018743-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3839s2
title: Occurrence Download

description: A dataset containing 2092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serpula lacrymans (Wulfen) J.Schröt."
 ]
}

 The dataset includes 2092 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023833-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6j3a8
title: Occurrence Download

description: A dataset containing 5514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bonellia Bertero ex Colla"
 ]
}

 The dataset includes 5514 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210058-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxlqb4
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphiesma vibakari (Boie, 1826)"
 ]
}

 The dataset includes 318 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031916-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf9mgs
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pisolithus orientalis Watling, Phosri & M.P.Martín"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023791-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8dc59
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "Geometry POLYGON((-99.14723 1.74421,-62.85277 1.74421,-62.85277 16.25579,-99.14723 16.25579,-99.14723 1.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myliobatidae"
 ]
}

 The dataset includes 400 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024204-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xukzat
title: Occurrence Download

description: A dataset containing 1241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dionysia Fenzl"
 ]
}

 The dataset includes 1241 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210062-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnhtts
title: Occurrence Download

description: A dataset containing 976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.77565 21.57789,82.77565 21.57789,82.77565 67.42211,-31.77565 67.42211,-31.77565 21.57789))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceus concolor Martin, 1838"
 ]
}

 The dataset includes 976 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023851-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10855240
title: Evolution of retinal degeneration and prediction of disease activity in relapsing and progressive multiple sclerosis

description: Retinal optical coherence tomography has been identified as biomarker for disease progression in relapsing-remitting multiple sclerosis (RRMS), while the dynamics of retinal atrophy in progressive MS are less clear. We investigated retinal layer thickness changes in RRMS, primary and secondary progressive MS (PPMS, SPMS), and their prognostic value for disease activity.

After quality control, 2651 OCT measurements of 195 RRMS, 87 SPMS, 125 PPMS patients, and 98 controls from five German MS centers were analyzed. Peripapillary and macular retinal nerve fiber layer (pRNFL, mRNFL) thickness predicted future relapses in all MS and RRMS patients without history of optic neuritis while mRNFL and ganglion cell-inner plexiform layer (GCIPL) thickness predicted future MRI progression/activity in RRMS without history of optic neuritis (mRNFL, GCIPL) and PPMS (GCIPL). mRNFL thickness predicted future disability progression in PPMS: However, thickness change rates were subject to considerable amounts of measurement variability.

In conclusion, retinal degeneration, most pronounced of pRNFL and GCIPL, occurs in all subtypes. Using the current state of technology, longitudinal assessments of retinal thickness may not be suitable on a single patient level.
DOI: 10.5281/zenodo.10855241
title: Evolution of retinal degeneration and prediction of disease activity in relapsing and progressive multiple sclerosis

description: Retinal optical coherence tomography has been identified as biomarker for disease progression in relapsing-remitting multiple sclerosis (RRMS), while the dynamics of retinal atrophy in progressive MS are less clear. We investigated retinal layer thickness changes in RRMS, primary and secondary progressive MS (PPMS, SPMS), and their prognostic value for disease activity.

After quality control, 2651 OCT measurements of 195 RRMS, 87 SPMS, 125 PPMS patients, and 98 controls from five German MS centers were analyzed. Peripapillary and macular retinal nerve fiber layer (pRNFL, mRNFL) thickness predicted future relapses in all MS and RRMS patients without history of optic neuritis while mRNFL and ganglion cell-inner plexiform layer (GCIPL) thickness predicted future MRI progression/activity in RRMS without history of optic neuritis (mRNFL, GCIPL) and PPMS (GCIPL). mRNFL thickness predicted future disability progression in PPMS: However, thickness change rates were subject to considerable amounts of measurement variability.

In conclusion, retinal degeneration, most pronounced of pRNFL and GCIPL, occurs in all subtypes. Using the current state of technology, longitudinal assessments of retinal thickness may not be suitable on a single patient level.
DOI: 10.15468/dl.9dysex
title: Occurrence Download

description: A dataset containing 6141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clavija Ruiz & Pav."
 ]
}

 The dataset includes 6141 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210059-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.211511
title: FONDS SERGE SAUNERON_nb_1965_06057

description: Référence : nb_1965_06057<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />