cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12569064
title: SOME CHARACTERISTICS OF ENSURING THE QUALITY OF PROFESSIONAL TRAINING OF FUTURE MILITARY TRAINING SPECIALISTS IN FOREIGN COUNTRIES
DOI: 10.5281/zenodo.12569065
title: SOME CHARACTERISTICS OF ENSURING THE QUALITY OF PROFESSIONAL TRAINING OF FUTURE MILITARY TRAINING SPECIALISTS IN FOREIGN COUNTRIES
DOI: 10.6084/m9.figshare.26115031
title: Best Model Parameters

description: A tab separated values file that describes the MegaPRS parameters used for the best model for each trait
DOI: 10.6084/m9.figshare.26115031.v1
title: Best Model Parameters

description: A tab separated values file that describes the MegaPRS parameters used for the best model for each trait
DOI: 10.15468/dl.9br4yf
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacocottus zonurus Bean, 1890",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 686 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002028-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26115130
title: Supplementary Material for: Cannabinoid Awareness, Reporting Use to Health Care Providers, and Perceptions Regarding Safety – Pennsylvania, March 2023-April 2023

description: Abstract
Introduction
With the continued societal and policy interest in cannabinoids, the Penn State Harrisburg Center for Survey Research (CSR) conducted a web survey (Cannabinoid Lion Poll) for adult aged Pennsylvanians between March 6 and April 2, 2023. 

Methods
The Lion Poll omnibus survey asked questions of adult aged Pennsylvanians to assess awareness of cannabidiol (CBD) and products containing tetrahydrocannabinol (THC), including marijuana, the likelihood of reporting cannabinoid use to health care providers (HCP), and perceptions regarding safety.

Results
Of these 1,045 respondents, 51.2% were female; 83.0% were white, non-Hispanic; and 48.6% and 27.5% were within the 35-64 year and 18–34-year age ranges, respectively. Of the respondents, 52.1% and 53.9%, told their health care providers they took CBD or products containing THC, respectively. Alcohol was perceived by the large proportion of respondents as unsafe (47.3%), followed by products containing THC (25.2%), anxiety/depression medications (21.7%), CBD (16.1%), and over the counter (OTC) pain medications (8.1%). Most combinations were perceived to be unsafe when asked to consider the safety of taking them with other prescription medications. Again, alcohol was perceived to be unsafe by the largest proportion (77.4%), followed by anxiety/depression medications (43.2%), products containing THC (42.6%), CBD (33.4%), and then OTC pain medications (24.8%). 

Conclusions
Adult aged Pennsylvanians perceive CBD and THC containing products as safer than alcohol. There is considerable underreporting of cannabinoid use to healthcare providers, and therefore significant implications for patient safety. It remains vital that healthcare providers have open communications with their patients about cannabinoid use.
DOI: 10.15468/dl.yzkhte
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrhila pisum (De Haan, 1841)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 602 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002030-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7ezew
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.51132 35.50288,-6.59717 35.50288,-6.59717 37.51559,-10.51132 37.51559,-10.51132 35.50288))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (67b2263f-6990-4d9d-b32b-20aa72ef4fbc, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, bc351953-ad64-42cd-909e-f0c607a83978, 2089ce96-4fb5-4a20-999c-3ccf45a27a4d, dfad10f6-d84b-4fa2-b6d0-df2a3eb38b65, 53f347a7-99ce-4528-a085-5c76eb1301a0)",
 "TaxonKey is Tursiops truncatus (Montagu, 1821)"
 ]
}

 The dataset includes 250 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002031-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbk4gz
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is France",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fringillidae",
 "Year 2022-2024"
 ]
}

 The dataset's 17 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002024-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xjmwp
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semicossyphus reticulatus (Valenciennes, 1839)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002033-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/b47dff09-f266-42fc-87af-3c7ad9349de7.v2
title: Data underlying the publication: Noise amplification and ill-convergence of Richardson-Lucy deconvolution

description: The dataset pertains to a study on noise amplification and sensitivity for Richardson-Lucy deconvolution of widefield fluorescence microscopy image data. The image data pertains to the MitoTracker red channel (emission wavelength 599 nm) and Alexa Fluor 488 Phalloidin channel (emission wavelength 512 nm), labeling mitochondria and actin, respectively, of a sample of Bovine Pulmonary Arterial Endothelial cells (BPAE-cells, ThermoFisher FluoCells \#1), imaged with a Nikon Ti-E microscope body with a 40X/NA0.95 objective lens with 1.5X magnification adapter, equipped with an sCMOS camera (Teledyne Kinetix, 3200 3200 pixels, pixel size 6.45 micron. In addition, a set of dark images was recorded for the assessment of offset and readout noise, and a through-focus bead measurement for PSF/OTF assessment.
DOI: 10.15468/dl.g5pu5g
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleginus gracilis (Tilesius, 1810)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002034-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10021845
title: Dataset for "Enabling Machine Learning Models in Alarm Fatigue Research: Creation of a Large Relevance-annotated Oxygen Saturation Alarm Data Set"

description: Chromik and Flint et al. (2024) (under review) propose an algorithm that uses clinical alarm logs, an annotation guideline (Klopfenstein et al. 2023), and routinely collected intensive care data to create a data set of relevance-annotated oxygen saturation alarms. We provide the algorithm's source code and data set of annotated oxygen saturation alarms as supplementary material to the publication.



The algorithm's implementation is open-source and can be re-used on similar data sets.

Our implementation used airway management data mappings to identify airway devices (AD), ventilation devices (VD), and ventilation modes (VM). These mappings can be found here: https://zenodo.org/doi/10.5281/zenodo.7511031

The data set suggests that the majority of oxygen saturation alarms in the intensive care unit is non-actionable.

We are the first to provide such an extensive data set of annotated oxygen saturation alarms.
DOI: 10.5281/zenodo.10026961
title: Dataset for "Enabling Machine Learning Models in Alarm Fatigue Research: Creation of a Large Relevance-annotated Oxygen Saturation Alarm Data Set"

description: Chromik and Flint et al. (2024) (under review) propose an algorithm that uses clinical alarm logs, an annotation guideline (Klopfenstein et al. 2023), and routinely collected intensive care data to create a data set of relevance-annotated oxygen saturation alarms. We provide the algorithm's source code and data set of annotated oxygen saturation alarms as supplementary material to the publication.



The algorithm's implementation is open-source and can be re-used on similar data sets.

Our implementation used airway management data mappings to identify airway devices (AD), ventilation devices (VD), and ventilation modes (VM). These mappings can be found here: https://zenodo.org/doi/10.5281/zenodo.7511031

The data set suggests that the majority of oxygen saturation alarms in the intensive care unit is non-actionable.

We are the first to provide such an extensive data set of annotated oxygen saturation alarms.
DOI: 10.15468/dl.dft5gh
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber australasicus Cuvier, 1832",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 252 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002035-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12569062
title: Date
DOI: 10.5281/zenodo.12569063
title: Date
DOI: 10.5281/zenodo.12568508
title: Verifications of issued certificates, certifications, diplomas, designations

description: Verifications of issued certificates, certifications, diplomas, designations.

Verified data presented states the issuing authority, as this service is also provided to other NPOs, NGOs, and higher education institutes/organizations.
DOI: 10.5281/zenodo.12568509
title: Verifications of issued certificates, certifications, diplomas, designations

description: Verifications of issued certificates, certifications, diplomas, designations.

Verified data presented states the issuing authority, as this service is also provided to other NPOs, NGOs, and higher education institutes/organizations.
DOI: 10.15468/dl.t2krna
title: Occurrence Download

description: A dataset containing 11924375 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 11924375 records from 2210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002032-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qtru6
title: Occurrence Download

description: A dataset containing 855094 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)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ranunculus acris L."
 ]
}

 The dataset includes 855094 records from 2004 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014554-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h38rk
title: Occurrence Download

description: A dataset containing 3860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal, Morocco)",
 "OccurrenceStatus is Present",
 "TaxonKey is Erica ciliaris L."
 ]
}

 The dataset includes 3860 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/d4768.v85
title: Le forme paleartiche del Camponotus maculatus F.
DOI: 10.48580/d4769.v81
title: Catalogue of hymenopterous insects collected by Mr. A. R. Wallace at the Islands of Aru and Key.
DOI: 10.48580/d477q.v83
title: A new species of Bulbophyllum from Northern of Vietnam
DOI: 10.48580/d4766.v88
title: Revision of the ant genus Strumigenys Fr. Smith (Hymenoptera: Formicidae) of Taiwan.
DOI: 10.48580/d475w.v83
title: A new ant genus from the southwestern United States.
DOI: 10.48580/d4763.v87
title: The ants collected by the American Museum Congo Expedition.
DOI: 10.48580/d4764.v86
title: The ants collected by the American Museum Congo Expedition.
DOI: 10.48580/d475p.v85
title: Taxonomic review of the genus Wasmannia.
DOI: 10.48580/d475q.v84
title: Identification of the species of Gnamptogenys Roger in the Americas.
DOI: 10.48580/d475r.v81
title: Revision of the subgenus Aulacomyrma Emery of the genus Polyrhachis F. Smith, with descriptions of new species.
DOI: 10.48580/d475l.v83
title: The fungus-growing ant genus Apterostigma in Dominican amber.
DOI: 10.48580/d475n.v87
title: A key to Camponotus Mayr of Australia.
DOI: 10.48580/d475c.v86
title: A new sibling species of the genus Strumigenys, with a redefinition of S. lewisi Cameron.
DOI: 10.48580/d475f.v91
title: The ant genus Leptanilloides: discovery of the male and evaluation of phylogenetic relationships based on DNA sequence data.
DOI: 10.48580/d475h.v81
title: A review of the arboreal Afrotropical ant genus Axinidris.
DOI: 10.48580/d475j.v86
title: New synonymy, new species, new keys to Neivamyrmex army ants of the United States.
DOI: 10.48580/d4754.v87
title: Opamyrma hungvuong, a new genus and species of ant related to Apomyrma (Hymenoptera: Formicidae: Amblyoponinae)
DOI: 10.48580/d4755.v90
title: Taxonomy of ant species (Hymenoptera: Formicidae) collected by pitfall traps from Sinai and Delta region, Egypt.
DOI: 10.48580/d474z.v89
title: Lordomyrma (Hymenoptera: Formicidae) of the Fiji Islands.
DOI: 10.48580/d4752.v89
title: Alobevania, a new genus of neotropical ensign wasps (Hymenoptera: Evaniidae), with three new species: integrating taxonomy with the World Wide Web.
DOI: 10.48580/d4757.v84
title: A new species, Dicheirinia panamensis, and new records of rust fungi from Panama.
DOI: 10.48580/d474r.v84
title: De duabus speciebus novis formicidarum generis Epitritus Emery.
DOI: 10.48580/d474w.v89
title: Leptothorax athabasca sp. n. (Hymenoptera: Formicidae) from Alberta, Canada, an ant with an apparently restricted range.
DOI: 10.48580/d474x.v81
title: A revision of Northern Vietnamese species of the ant genus Pheidole (Insecta: Hymenoptera: Formicidae: Myrmicinae).
DOI: 10.48580/d474q.v87
title: A monographic revision of the rare tropicopolitan ant genus Probolomyrmex Mayr (Hymenoptera: Formicidae).
DOI: 10.48580/d474s.v97
title: Catalogue of hymenopterous insects collected by Mr. A. R. Wallace in the Islands of Ceram, Celebes, Ternate, and Gilolo.
DOI: 10.48580/d474v.v85
title: Morphological, taxonomic and other notes on ants.
DOI: 10.48580/d474l.v84
title: Trois notes myrmécologiques.
DOI: 10.48580/d474m.v84
title: Descriptions de nouveaux formicides africains et notes diverses. - II.
DOI: 10.48580/d474j.v82
title: Descriptions de nouvelles fourmis Ethiopiennes. (Suite.)
DOI: 10.48580/d474k.v83
title: Descriptions de nouvelles fourmis éthiopiennes (quatrième note).
DOI: 10.48580/d474f.v81
title: Fourmis nouvelles éthiopiennes.
DOI: 10.48580/d474g.v87
title: Nouvelles fourmis d'Afrique.
DOI: 10.48580/d474h.v83
title: Description de formicides éthiopiens nouveaux ou peu connus. V.
DOI: 10.48580/d4749.v80
title: Fourmis d'Afrique et de Madagascar.
DOI: 10.48580/d4744.v83
title: Voyage de M. E. Simon à l'île de Ceylan (janvier - février 1892). 3 e Mémoire. Formicides.
DOI: 10.48580/d4747.v81
title: Catalogo delle formiche esistenti nelle collezioni del Museo Civico di Genova. Parte prima. Formiche provenienti dall Viaggio dei signori Antinori, Beccari e Issel nel Mar Rosso e nel paese dei Bogos.
DOI: 10.48580/d4748.v81
title: Glanure de fourmis africaines.
DOI: 10.15156/bio/sh1385390.10fu
title: SH1385390.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1385393.10fu
title: SH1385393.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1385394.10fu
title: SH1385394.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1385395.10fu
title: SH1385395.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1385396.10fu
title: SH1385396.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1385399.10fu
title: SH1385399.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.