cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.oj1vvm
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026755-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvkgxs
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037233-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu6wqv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026783-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8apfr
title: Occurrence Download

description: A dataset containing 1467090274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1903-2021"
 ]
}

 The dataset includes 1467090274 records from 24598 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181994-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/47v-05m-8cr
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zgs-jks-8vp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbw-ryc-wca
title: Carpenteria Gray, 1858

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/814-klb-mbk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hnm-w0a-9k6
title: Miliolida Delage & Hérouard, 1896

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2zl-p1e-5kx
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3gf-81r-263
title: Ammomassilina alveoliniformis (Millett, 1898)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zml-b90-hf8
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3g4-33y-14y
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lk5-n86-7fh
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nv7-4n9-yp8
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pyj-prg-9xk
title: Operculina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8cq-ah1-9tg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xdg-nw3-hf7
title: Operculina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.tebn9s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonata",
 "Geometry POLYGON ((19.1382 29.0599, 10.1382 29.0599, 10.1382 20.0599, 19.1382 20.0599, 19.1382 29.0599))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019570-250811113504898/datasets/export for details.
DOI: 10.3535/bzd-vqg-lbt
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vbs-kbs-8yj
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8cl-x6a-d7c
title: Peneroplis planatus (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n9k-fh6-0pp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3bp-87j-p3k
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/22c-l9t-fkm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6t3-g2f-y43
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tz5-0pt-7rz
title: Amphistegina lessonii d'Orbigny in Deshayes, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z3s-xam-tcf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4yq-03b-bjx
title: †Rotalia Lamarck, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bjf-qee-klx
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1y0-dcc-1p7
title: Elphidium Montfort, 1808

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s0q-m8y-6vl
title: †Lepidocyclina (Nephrolepidina) angulosa (Prever, 1909)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/30b-khn-m7z
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d8w-fvl-ezh
title: Planorbulina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q27-c18-4zs
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5bz-3ma-ejg
title: †Spiroclypeus margaritatus (Schlumberger, 1902)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x08-l8x-4j1
title: Alveolinella H. Douvillé, 1907

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7zh-af5-7at
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rs5-ylg-c5q
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4y4-yvh-kmh
title: †Clavulinoides philippinica (Karrer, 1878)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9gl-p0h-ns2
title: Amphistegina lessonii d'Orbigny in Deshayes, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zga-sr3-flj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lh6-jcw-2sx
title: †Discocyclina archiaci (Schlumberger, 1903)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7f-frm-0cl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fxp-vkt-tb2
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xg0-twm-4ep
title: Carpenteria Gray, 1858

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c16-m8p-wv6
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s8d-9rb-h6e
title: Amphistegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78x-g2k-ev7
title: Miliolida Delage & Hérouard, 1896

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99b-txe-l8n
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/arl-gwb-h88
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2j9-5qj-117
title: Gen. indet. sp. indet.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ht0-ycg-34e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.31056425.v1
title: The abundance and diversity of penetrative tracks: a critical re-evaluation of theropod ichnotaxa

description: Tetrapod ichnotaxonomy aims to classify tracks based on features that reflect trackmaker anatomy. Consequently, distinct ichnotaxa are assumed to represent distinct (though often unidentified) biological taxa. However, track shape is not only determined by trackmaker anatomy, but also by the properties of the substrate, the movements of the foot, the level of exposure, and any post-formational alteration. Because of these multiple sources of variation, determining if, and to what degree, a particular feature conveys anatomical information remains a major challenge. A major source of confusion has been penetrative tracks, which form when the foot sinks deeply into soft sediment, causing sediment to flow around the foot to seal its path. Penetrative tracks of long-toed, tridactyl trackmakers often show conspicuous features that appear to reflect foot anatomy but do in fact reflect the penetrative nature of the tracks. We studied dozens of tracksites in the Middle Jurassic of El Mers, Morocco and the Early Cretaceous Cameros Basin, Spain, showing that penetrative tracks are much more diverse and common than previously thought. We discuss formational mechanisms that explain the variation of several features commonly used to define ichnotaxa. We conclude that the type ichnospecies of <i>Saurexallopus</i>, <i>Magnoavipes</i>, <i>Theroplantigrada</i>, <i>Ordexallopus</i>, and <i>Archaeornithipus</i> are probably based on penetrative tracks and therefore <i>nomina dubia</i>.
DOI: 10.15156/bio/sh1402474.10fu
title: SH1402474.10FU

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: 10.6084/m9.figshare.30998036
title: Machine learning for screening laryngopharyngeal reflux symptoms in college students: a cross-sectional study

description: Laryngopharyngeal reflux (LPR) is a widespread global health issue. Its recurring symptoms and impact on quality of life create significant economic burdens for individuals and society. To examine the links between lifestyle, diet, and LPR symptoms (LPRS) in college students, and to build an LPRS screening model using a Genetic Algorithm (GA)–Stacking method. A cross-sectional study of 502 undergraduates from 21 universities in Jilin Province, China, using an electronic questionnaire. LPRS were assessed via the Reflux Symptom Index (RSI). Associations were analyzed with multiple methods, and a GA–Stacking screening model was developed. LPRS prevalence was 50.20% (252/502). Significant risk factors included frequent fried food consumption (OR: 1.89; 95% CI, 1.35-2.64), late-evening meals (OR: 2.15; 95% CI, 1.54-3.01), and low physical activity (OR: 1.72; 95% CI, 1.23-2.41). The GA–Stacking model performed well, with a recall of 0.909, accuracy of 0.927, and AUC of 0.96 (95% CI, 0.94-0.98). Modifiable factors like fried food intake and meal timing are strongly linked to LPRS in students. The GA–Stacking model effectively identifies high-risk individuals for early intervention, highlighting the role of lifestyle changes and informing targeted health strategies. Lifestyle behaviours and dietary patterns demonstrated significant associations with the presence of LPRS among college students.A Genetic Algorithm–Stacking screening model, developed using lifestyle and dietary variables, achieved high accuracy in identifying individuals with high LPRS burdens. Lifestyle behaviours and dietary patterns demonstrated significant associations with the presence of LPRS among college students. A Genetic Algorithm–Stacking screening model, developed using lifestyle and dietary variables, achieved high accuracy in identifying individuals with high LPRS burdens.
DOI: 10.6084/m9.figshare.30998036.v1
title: Machine learning for screening laryngopharyngeal reflux symptoms in college students: a cross-sectional study

description: Laryngopharyngeal reflux (LPR) is a widespread global health issue. Its recurring symptoms and impact on quality of life create significant economic burdens for individuals and society. To examine the links between lifestyle, diet, and LPR symptoms (LPRS) in college students, and to build an LPRS screening model using a Genetic Algorithm (GA)–Stacking method. A cross-sectional study of 502 undergraduates from 21 universities in Jilin Province, China, using an electronic questionnaire. LPRS were assessed via the Reflux Symptom Index (RSI). Associations were analyzed with multiple methods, and a GA–Stacking screening model was developed. LPRS prevalence was 50.20% (252/502). Significant risk factors included frequent fried food consumption (OR: 1.89; 95% CI, 1.35-2.64), late-evening meals (OR: 2.15; 95% CI, 1.54-3.01), and low physical activity (OR: 1.72; 95% CI, 1.23-2.41). The GA–Stacking model performed well, with a recall of 0.909, accuracy of 0.927, and AUC of 0.96 (95% CI, 0.94-0.98). Modifiable factors like fried food intake and meal timing are strongly linked to LPRS in students. The GA–Stacking model effectively identifies high-risk individuals for early intervention, highlighting the role of lifestyle changes and informing targeted health strategies. Lifestyle behaviours and dietary patterns demonstrated significant associations with the presence of LPRS among college students.A Genetic Algorithm–Stacking screening model, developed using lifestyle and dietary variables, achieved high accuracy in identifying individuals with high LPRS burdens. Lifestyle behaviours and dietary patterns demonstrated significant associations with the presence of LPRS among college students. A Genetic Algorithm–Stacking screening model, developed using lifestyle and dietary variables, achieved high accuracy in identifying individuals with high LPRS burdens.
DOI: 10.6084/m9.figshare.31056425
title: The abundance and diversity of penetrative tracks: a critical re-evaluation of theropod ichnotaxa

description: Tetrapod ichnotaxonomy aims to classify tracks based on features that reflect trackmaker anatomy. Consequently, distinct ichnotaxa are assumed to represent distinct (though often unidentified) biological taxa. However, track shape is not only determined by trackmaker anatomy, but also by the properties of the substrate, the movements of the foot, the level of exposure, and any post-formational alteration. Because of these multiple sources of variation, determining if, and to what degree, a particular feature conveys anatomical information remains a major challenge. A major source of confusion has been penetrative tracks, which form when the foot sinks deeply into soft sediment, causing sediment to flow around the foot to seal its path. Penetrative tracks of long-toed, tridactyl trackmakers often show conspicuous features that appear to reflect foot anatomy but do in fact reflect the penetrative nature of the tracks. We studied dozens of tracksites in the Middle Jurassic of El Mers, Morocco and the Early Cretaceous Cameros Basin, Spain, showing that penetrative tracks are much more diverse and common than previously thought. We discuss formational mechanisms that explain the variation of several features commonly used to define ichnotaxa. We conclude that the type ichnospecies of <i>Saurexallopus</i>, <i>Magnoavipes</i>, <i>Theroplantigrada</i>, <i>Ordexallopus</i>, and <i>Archaeornithipus</i> are probably based on penetrative tracks and therefore <i>nomina dubia</i>.
DOI: 10.15156/bio/sh1402479.10fu
title: SH1402479.10FU

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/sh1402482.10fu
title: SH1402482.10FU

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/sh1402484.10fu
title: SH1402484.10FU

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: 10.15468/dl.k3jtec
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.102_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006147-260108223611665/datasets/export for details.
DOI: 10.15468/dl.jctmqy
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus echinatus",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076492-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5f4kt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Laterallus spilonotus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076493-250717081556266/datasets/export for details.