cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pxse9b
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heteroderis pusilla (Boiss.) Boiss."
 ]
}

 The dataset includes 85 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022767-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7v77k
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Hordeum comosum J.Presl"
 ]
}

 The dataset includes 368 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185598-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.heb9ts
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Agrostis avenacea, Apium prostratum, Bromus catharticus, Caesalpinia major, Calystegia sepium, Centaurium spicatum, Chenopodium glaucum, Cynodon dactylon, Cyperus cyperoides, Cyperus eragrostis, Dichelachne crinita, Dichelachne micrantha, Euphorbia serpens, Ipomoea pes-caprae, Kyllinga brevifolia, Lycium carolinianum, Polygonum acuminatum, Portulaca oleracea, Pycreus polystachyos, Samolus repens, Scirpus californicus, Solanum forsteri, Sporobolus africanus, Tetragonia tetragonoides, Triumfetta semitriloba)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147837-200613084148143/datasets/export for details.
DOI: 10.15468/dl.cfbyux
title: Occurrence Download

description: A dataset containing 15766427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15766427 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016702-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx7hub
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotinus obovatus Raf.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 446 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022773-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8q9uc
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.31488 33.05378,-114.36488 24.63229,-98.81175 13.33271,-94.24456 15.48456,-86.59143 19.37012,-86.59143 22.25431,-96.343 25.86037,-102.14456 29.46724,-104.11956 29.03646,-106.46488 31.59352,-118.31488 33.05378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185609-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6dhov
title: Occurrence Download

description: A dataset containing 42955 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collection Herpetology SMF"
 ]
}

 The dataset includes 42955 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016702-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svjbhu
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Neusticurus medemi Dixon & Lamar, 1981"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089778-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atr9gk
title: Occurrence Download

description: A dataset containing 2009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Xyloryctidae"
 ]
}

 The dataset includes 2009 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016702-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5htjs
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyalinobatrachium mondolfii Señaris & Ayarzagüena, 2001"
 ]
}

 The dataset includes 57 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204743-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zkk7q
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola pacifica Juz."
 ]
}

 The dataset includes 60 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138830-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3q28q
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hermannia johanssenii N.E.Br."
 ]
}

 The dataset includes 49 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020258-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9cy2u
title: Occurrence Download

description: A dataset containing 5737 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Lippia graveolens Kunth",
 "TaxonKey is Malpighia galeottiana A.Juss.",
 "TaxonKey is Manihotoides pauciflora (Brandegee) D.J.Rogers & Appan",
 "TaxonKey is Mascagnia seleriana Loes.",
 "TaxonKey is Mimosa lacerata Rose",
 "TaxonKey is Mimosa luisana Brandegee",
 "TaxonKey is Mimosa polyantha Benth.",
 "TaxonKey is Mimosa texana (A.Gray) Small",
 "TaxonKey is Mimosa texana var. texana",
 "TaxonKey is Morkillia mexicana (Moc. & Sessé ex DC.) Rose & J.H.Painter",
 "TaxonKey is Prosopis laevigata (Humb. & Bonpl. ex Willd.) M.C.Johnst.",
 "TaxonKey is Pseudosmodingium multifolium Rose",
 "TaxonKey is Schaefferia stenophylla Standl.",
 "TaxonKey is Senna wislizeni (A.Gray) H.S.Irwin & Barneby",
 "TaxonKey is Yucca periculosa Baker"
 ]
 }
 ]
}

 The dataset includes 5737 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0223312-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qul21e
title: Occurrence Download

description: A dataset containing 2195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2195 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016702-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8wjza
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Bahia Lag.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 111 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016703-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9m99u
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllanthus tenellus Roxb."
 ]
}

 The dataset includes 222 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089780-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyvrny
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acianthera translucida (Barb.Rodr.) Luer"
 ]
}

 The dataset includes 24 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138831-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3xg9y
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Minyobates bombetes (Myers & Daly, 1980)"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004258-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.648gmw
title: Occurrence Download

description: A dataset containing 4574535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Aves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4574535 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016703-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p66cx
title: Occurrence Download

description: A dataset containing 6994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Santolina chamaecyparissus L.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6994 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020276-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmupg8
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Smilax glabra Roxb."
 ]
}

 The dataset includes 686 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006612-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsank9
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis masafuerana Pilg."
 ]
}

 The dataset includes 17 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138832-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwbgwj
title: Occurrence Download

description: A dataset containing 755902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1000-1990",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 755902 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016704-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60773/gr4a-3m47
title: A Handheld Microchip for GC Analysis of Breath to Screen for COVID-19

description: The COVID-19 pandemic has caused unprecedented societal suffering and economic disruption. Although current COVID-19 diagnostic testing technologies are critical for curbing the spread of the virus and preventing future outbreaks, they are not practical for field use.  Current diagnostic tests are cumbersome to perform because they use aqueous solutions, require multiple steps, and hours-to-days to obtain results. Therefore, there is an urgent need to develop a diagnostic approach that is non-invasive, portable, and can rapidly provide test results.  The overall goal of the project is to develop a mobile breath analysis technology for rapid screening for COVID-19 using a handheld breath collection tool and a portable GC with a photoionization detector (PID). The handheld tool will be a closed system for trapping target volatile organic compounds (VOCs) on a microfabricated chip.  The captured VOCs will be eluted with a solvent and then analyzed using a portable GC-PID instrument.  Artificial intelligence (AI) and machine learning algorithms will be applied to recognize the VOC pattern that correlates with COVID-19 infection. The central innovation is the microfabricated chip that captures VOCs in exhaled breath and thus serves as a preconcentrator, which enables analysis of the captured VOCs by the portable GC-PID. The hypothesis is that  VOC metabolome in exhaled breath is directly related to the body’s reaction to tSARS-CoV-2 infection, and the changes of VOC profile  in exhaled breath relative to healthy controls can be used to detect both symptomatic and asymptomatic COVID-19 patients. The University of Louisville is uniquely suited to rapidly transition the microchip technology to field use because of the PI and Co-PI’s experience in breath analysis and translational research, and the project team’s experience in virology, infectious diseases, biostatistics, and artificial intelligence as well as the state-of-the-art facilities that include a MicroNano Technology Center, Biosafety Level 3 Regional Biocontainment Lab, and an NIH-funded REACH program.
DOI: 10.60773/wd0m-eh53
title: Touchscreen-Compatible, Real-Time Electrochemical Sensing of SARS-CoV-2

description: We are developing an assay for detecting SARS-CoV-2. We will be generating data that includes signal for given virus or S protein concentration, as well as binding constants for molecular recognition agents.
DOI: 10.25549/examiner-c44-4081
title: Fire destroys warehouse of Compton Wholesale Grocery Company, 1951

description: 12 images. Fire destroys warehouse of Compton Wholesale Grocery Company, June 6, 1951. General views of fire; Charles Cross -- postman; Ed Brownlie -- fireman.; More descriptive information with originals.
DOI: 10.60773/5ahc-nx20
title: COVID-19 Network of Networks Expanding Clinical and Translational Approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)

description: This study's objective is to understand which children are at highest risk for having severe consequences from SARS-CoV-2 infection. The study will use clinical, epidemiologic, and sociodemographic data alongside specific biomarkers and create machine learning models designed to predict severe consequences. In order to accomplish this, we will establish a network of various networks and sites to examine subjects who have previously had infections or complications and subjects with active infections or complications, through both prospective enrollment and collection of data and biospecimens as well as through retrospective analyses of diverse datasets.
DOI: 10.60773/a1js-pv10
title: A Multimodal Platform for Oral Screening of COVID-19

description: This project will develop a multiplexed sensor platform based on nanomaterials capable of rapid simultaneous detection of multiple components of viral particles in a field applicable electrochemical device. The device has synthetic biosensors that, in a multimodal, rapid, accurate, inexpensive, field- deployable test, will detect multiple of SARS-CoV- 2 biomarkers.
DOI: 10.60773/e8nb-ns15
title: Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19

description: The goal of the project is to develop a pipeline for automatic detection and tracing of active SARS-CoV-2 infection in a cost-effective, highly accurate, real-time, portable, and super-encrypted manner. Our integrated approach first captures viral particles from patient samples to activate fluorescence reporters, followed by signal detection using a smartphone fluorimeter, along with blockchain-based data processing and tracing. We deployed designer DNA “net” nanostructures that match the spatial pattern of trimeric spike glycoprotein clusters on the viral outer surface for specific and rapid SARS-CoV-2 virion detection, smartphone-based point- of-care device for portable signal reading, and blockchain encryption for privacy protection during result recording and track tracing, therefore, our detection and tracing model allows a direct, automatic, and cost- effective detection, a highly flexible result acquisition process and a super-encrypted data transition and tracing system.
DOI: 10.60773/vprs-gc97
title: A Rapid Breathalyzer Diagnostics Platform for COVID-19

description: We propose to develop a novel testing platform that detects SARS-CoV-2 virions in a patient’s breath. When a person exhales into the COVID breathalyzer, droplets and other emitted particles are captured by a liquid impactor inside the collection unit.  Subsequently, the captured particles are deposited onto a microfluidic chip that contains the nanowell sensors (patent pending) capable of detecting the presence of SARS-CoV-2 virus. The device will provide results within a time frame of 20 minutes using an impedance measurement approach.  Importantly, we propose to develop a novel platform technology that could be easily adapted to future needs and challenges, not only as the virus causing COVID-19 evolves in future years, but also to provide multiplexing capabilities to detect multiple viruses in tandem. The target product profile (TPP) of our solution will stand out against the current and future standard of care in viral antigen screening tests as a new disposable breathalyzer that is not invasive compared to traditional sampling techniques, is easy to use with rapid point of care results, and has accurate reporting with high sensitivity and specificity.
DOI: 10.60773/q345-4e35
title: AICORE-kids: Artificial Intelligence COVID-19 Risk AssEssment for kids

description: This work is directed at characterizing pediatric COVID-19 and stratifying incoming patients by projected (future) disease severity. Such stratification has several implications: immediately improving treatment planning, and as disease mechanistic pathways are uncovered, directing treatment. Predicting future severity will inform the risks of outpatient treatment; to the patients themselves, their family, other caregivers/cohabitants, and to schools and employers. As varying levels of “reopening” are adopted across the country (and the world), such prognostication will inform policy on the handling of pediatric carriers in the community. Based on our preliminary analysis we assert that a combination of novel assays including quantitative serology inflammatory markers (cytokine/chemokine profiles, immune profiles), transcriptomics, epigenomics, longitudinal physiological monitoring, time series analysis, imaging, radiomics and clinical observation including social determinants of health, contains adequate information even at early stages of infection to stratify the disease and predict disease severity. We propose an artificial intelligence/machine learning approach to integrate this rich and heterogeneous dataset, characterize the spectrum of disease and identify biosignatures that predict severity in progressive disease. To facilitate translation of the approaches developed in this work to a wide user community, we incorporate a Translational Development function, to oversee the design-control process and ensure readiness of our methods for regulatory review. Incorporated into our timelines are appropriate regulatory milestones intended to conform with the Emergency Use Authorization (EUA) programs in effect for SARS-CoV-2 diagnostics.