cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1028019.10fu
title: SH1028019.10FU

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/sh1028020.10fu
title: SH1028020.10FU

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/sh1028021.10fu
title: SH1028021.10FU

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/sh1028022.10fu
title: SH1028022.10FU

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/sh1028023.10fu
title: SH1028023.10FU

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: 10.48597/46bf-yrxz
title: Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/e7mq-d4z2
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/shte-rda7
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/nnh5-azcr
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/6j73-6smw
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/a6cp-7twa
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/87h7-maqq
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/g6j2-hzrg
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/mge9-yxd2
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/2nrr-hubw
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/q8v4-6d4k
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/phnn-j8zn
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/ydu7-hyn8
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.6084/m9.figshare.25801480
title: <b>Real-Time Cognitive Overload Monitoring in Simulated Navigation with Wearable Biosensors</b>

description: Cognitive overload poses a significant challenge to driver safety, especially in the context of information-rich navigation systems. How to effectively solve the cognitive load problem caused by information overload during the navigation process and achieve real-time monitoring and on-demand prompt of navigation information has become a difficult problem faced by intelligent navigation. In this study, wearable biosensor device EmotiBit was used to extract physiological signals, including electrodermal activity (EDA) and photoplethysmogram (PPG), from drivers in virtual navigation scenarios. We extracted effective features related to skin conductance and heart rate from these physiological signals and selected support vector machine (SVM), logistic regression (LR), random forest (RF), and extreme gradient boosting (XGBoost) models as classifiers to develop a real-time monitoring model for cognitive overload. The results reveal a remarkable accuracy rate of 88.75% achieved by the random forest model, surpassing the performance of the other three algorithms, which demonstrated the feasibility of detecting cognitive load in users during navigation processes through real-time monitoring of skin conductance activity parameters. Feature importance analysis uncovered that the second-order difference of electrodermal activity and its level emerged as the most influential factors for cognitive load detection. This study underscores the critical significance of real-time monitoring of cognitive load in drivers to optimize navigation services and elevate road safety standards. The findings pave the way for future advancements in utilizing wearable technology for cognitive state monitoring and offer valuable implications for improving navigation systems and enhancing user experience on the road.
DOI: 10.6084/m9.figshare.25801480.v1
title: <b>Real-Time Cognitive Overload Monitoring in Simulated Navigation with Wearable Biosensors</b>

description: Cognitive overload poses a significant challenge to driver safety, especially in the context of information-rich navigation systems. How to effectively solve the cognitive load problem caused by information overload during the navigation process and achieve real-time monitoring and on-demand prompt of navigation information has become a difficult problem faced by intelligent navigation. In this study, wearable biosensor device EmotiBit was used to extract physiological signals, including electrodermal activity (EDA) and photoplethysmogram (PPG), from drivers in virtual navigation scenarios. We extracted effective features related to skin conductance and heart rate from these physiological signals and selected support vector machine (SVM), logistic regression (LR), random forest (RF), and extreme gradient boosting (XGBoost) models as classifiers to develop a real-time monitoring model for cognitive overload. The results reveal a remarkable accuracy rate of 88.75% achieved by the random forest model, surpassing the performance of the other three algorithms, which demonstrated the feasibility of detecting cognitive load in users during navigation processes through real-time monitoring of skin conductance activity parameters. Feature importance analysis uncovered that the second-order difference of electrodermal activity and its level emerged as the most influential factors for cognitive load detection. This study underscores the critical significance of real-time monitoring of cognitive load in drivers to optimize navigation services and elevate road safety standards. The findings pave the way for future advancements in utilizing wearable technology for cognitive state monitoring and offer valuable implications for improving navigation systems and enhancing user experience on the road.
DOI: 10.48597/tvhg-7ymq
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/x3pt-4um3
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/gakc-t3j6
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/ar2z-wp7a
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/k29z-6ppe
title: Measurement of Ozone at Halley

description: Measurement of Ozone at Halley
DOI: 10.48597/htvt-bekz
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/an3t-7abq
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/4qym-chq9
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.48597/c8n6-9kxq
title: Measurement of Ozone at El Tololo

description: Measurement of Ozone at El Tololo
DOI: 10.15468/dl.rsb94p
title: Occurrence Download

description: A dataset containing 21919 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perilla L."
 ]
}

 The dataset includes 21919 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009182-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/xcmy-8p6j
title: Measurement of Pm10_mass at Hyytiälä

description: Measurement of Pm10_mass at Hyytiälä
DOI: 10.48597/zkk3-zbcf
title: Measurement of PM mass at Hyytiälä

description: Measurement of PM mass at Hyytiälä
DOI: 10.48597/s8qk-ccdb
title: Measurement of Mercury_GEM at Villum Research Station, Station Nord

description: Measurement of Mercury_GEM at Villum Research Station, Station Nord
DOI: 10.15468/dl.n5j4vw
title: Occurrence Download

description: A dataset containing 2295416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Sequences",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 2295416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009181-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdh5dn
title: Occurrence Download

description: A dataset containing 1669002 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 one of (Achillea L.)"
 ]
}

 The dataset includes 1669002 records from 4505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009183-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/25599525
title: <b>Figure 6</b> Harmonic light range and linearity

description: The Mathworks MATLAB script <b>relInt.m</b> processes measurement data to produce the graphs in Figure 6 of the manuscript. These graphs characterize the linearity and functional range of the Harmonizer. The script requires ImageMagick for image processing and needs to be run on a Linux or MAX OS X operating system with ImageMagick installed or needs to be modified accordingly for Windows.
DOI: 10.18742/25599525.v1
title: <b>Figure 6</b> Harmonic light range and linearity

description: The Mathworks MATLAB script <b>relInt.m</b> processes measurement data to produce the graphs in Figure 6 of the manuscript. These graphs characterize the linearity and functional range of the Harmonizer. The script requires ImageMagick for image processing and needs to be run on a Linux or MAX OS X operating system with ImageMagick installed or needs to be modified accordingly for Windows.
DOI: 10.15468/dl.z7mew2
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Escarabajos coprófagos (Scarabaeidae: Scarabaeinae) en un bosque seco tropical del municipio de Pulí-Cundinamarca, Finca Corralitos"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045676-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bax39c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abantennarius analis Schultz, 1957"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002990-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzwhhj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Centrolene muelleri Duellman & Schulte, 1993",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013479-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awzmer
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-71.73871 -42.08309,-71.74162 -42.08381,-71.73365 -42.09138,-71.72719 -42.10157,-71.72849 -42.10674,-71.72612 -42.11024,-71.73098 -42.12229,-71.74528 -42.12756,-71.74751 -42.13046,-71.7578 -42.12836,-71.77725 -42.13023,-71.77456 -42.13642,-71.77779 -42.13915,-71.77632 -42.14281,-71.78143 -42.1479,-71.7876 -42.26021,-71.60607 -42.26557,-71.59686 -42.09065,-71.61498 -42.08679,-71.73871 -42.08309)))",
 "EventDate is less than or equal to 2021-08-01",
 "EventDate is greater than or equal to 2021-07-01"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0335503-200613084148143/datasets/export for details.
DOI: 10.15468/dl.kp3rm8
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sibara tehuelches (Spegazzini) Al-Shehbaz"
 ]
}

 The dataset includes 36 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193729-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8w8sg
title: Occurrence Download

description: A dataset containing 851 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tulipa biebersteiniana Schult. & Schult.f."
 ]
}

 The dataset includes 851 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005337-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ovrndr
title: Occurrence Download

description: A dataset containing 4095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum tuberosum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4095 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rnzvh
title: Occurrence Download

description: A dataset containing 317247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2016-2021"
 ]
}

 The dataset includes 317247 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055876-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj7qh2
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Registros esporádicos de fauna en las centrales de Enel en Cundinamarca y Bogotá"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045765-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lx07dw
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grallaria hypoleuca P.L.Sclater, 1855",
 "DatasetKey is Colección de Sonidos Ambientales del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CSA)"
 ]
}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxb28u
title: Occurrence Download

description: A dataset containing 181337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 181337 records from 604 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048345-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxdwb3
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bivalvia",
 "Country is Canada",
 {
 "or" : [
 "Geometry POLYGON((-110.054883 59.991075,-110.054883 58.687445,-101.505763 58.687445,-101.505763 59.991075,-110.054883 59.991075))",
 "Geometry POLYGON((-109.923046 58.728758,-109.923046 49.009051,-101.333935 49.009051,-101.333935 58.728758,-109.923046 58.728758))"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 237 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np6ewu
title: Occurrence Download

description: A dataset containing 14095 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedychium gardnerianum Sheph. ex Ker Gawl."
 ]
}

 The dataset includes 14095 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045799-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahtgxr
title: Occurrence Download

description: A dataset containing 65191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nototheniidae"
 ]
}

 The dataset includes 65191 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055884-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4hzn6
title: Occurrence Download

description: A dataset containing 141718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus ilex L."
 ]
}

 The dataset includes 141718 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056123-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwsqm4
title: Occurrence Download

description: A dataset containing 1057 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pagellus bellottii"
 ]
}

 The dataset includes 1057 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020156-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.