cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20337315.v1
title: EFFECT OF HIGH-INTENSITY INTERVAL TRAINING ON FOOTBALL PLAYERS’ PERFORMANCE

description: ABSTRACT Introduction High-intensity interval training contributes expressively to physical training and has been gradually applied to the soccer field. This sport has received more attention in colleges and universities in the country. However, studies are needed on the most appropriate training methods to improve the players’ ability among college students, increasing the competitive level among athletes. Objective Investigate the influence of high-intensity intermittent training on soccer players’ sports performance. Methods 30 student soccer players were selected at a university for six weeks, and four training sessions were held per week. The experimental group performed intermittent high-intensity training for training; the control group used the traditional aerobic resistance training method. For the experiment, indicator information was collected for integration and analysis before the start of activities and at the end of the six weeks. Results High-intensity intermittent training can improve the fitness index and FMS index of players and also can keep the fluctuation level in players’ performance higher; the range of performance improvement is considerably larger than the traditional aerobic training method. Conclusion High-intensity intermittent training can improve players’ fitness and agility, reduce sports injuries, improve physical reserve, and promote the progress of soccer players’ sports achievements. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
DOI: 10.6084/m9.figshare.20337320
title: EFFECT OF FUNCTIONAL TRAINING ON ADOLESCENT HEALTH

description: ABSTRACT Introduction The high rate of obesity caused by the modern sedentary lifestyle associated with bad eating habits and the high intellectual demand at school generates a physical and psychological deficit in contemporary youth. The damage caused in this growth phase is irrecoverable, and the habits acquired during this period are crucial to individual health. The urgency of this problem has generated research on methods to reverse this situation, among them functional training. Objective To study the effect of functional training on adolescent health. Methods 30 boys and 30 girls were recruited as study subjects. The experiment lasted one semester, including two weekly physical education classes focused on functional training. Data on body indexes, fitness, and physical test results were collected before and after the intervention. The results of the experiment were integrated and compared. Results The selection of functional training can optimize adolescents’ biochemical indexes, making adolescents’ orthostatic posture more balanced, and significantly improve muscle strength, body flexibility, explosive strength of upper and lower extremities, motor coordination, body flexibility, muscular endurance, cardiopulmonary function, etc. Conclusion Functional training can effectively improve the physical health of adolescents. Participants have increased their interest in sports, and this intervention can potentially promote the development of adolescents’ physical and mental health if replicated nationwide. Studies are needed to popularize functional training in adolescents. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
DOI: 10.6084/m9.figshare.20337320.v1
title: EFFECT OF FUNCTIONAL TRAINING ON ADOLESCENT HEALTH

description: ABSTRACT Introduction The high rate of obesity caused by the modern sedentary lifestyle associated with bad eating habits and the high intellectual demand at school generates a physical and psychological deficit in contemporary youth. The damage caused in this growth phase is irrecoverable, and the habits acquired during this period are crucial to individual health. The urgency of this problem has generated research on methods to reverse this situation, among them functional training. Objective To study the effect of functional training on adolescent health. Methods 30 boys and 30 girls were recruited as study subjects. The experiment lasted one semester, including two weekly physical education classes focused on functional training. Data on body indexes, fitness, and physical test results were collected before and after the intervention. The results of the experiment were integrated and compared. Results The selection of functional training can optimize adolescents’ biochemical indexes, making adolescents’ orthostatic posture more balanced, and significantly improve muscle strength, body flexibility, explosive strength of upper and lower extremities, motor coordination, body flexibility, muscular endurance, cardiopulmonary function, etc. Conclusion Functional training can effectively improve the physical health of adolescents. Participants have increased their interest in sports, and this intervention can potentially promote the development of adolescents’ physical and mental health if replicated nationwide. Studies are needed to popularize functional training in adolescents. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
DOI: 10.6084/m9.figshare.21385894.v1
title: Additional file 3 of The histone deacetylase Cfhos2 is a key epigenetic factor regulating appressorium development and pathogenesis in apple Glomerella leaf spot fungus Colletotrichum fructicola

description: Additional file 3: Table S3. DGEs identified in apple leaves infected with the Colletotrichum fructicola wild-type strain or Cfhos2 deletion mutant at the early infection phase (36 hpi). Table S4. DEGs identified between the Colletotrichum fructicola wild-type strain and Cfhos2 deletion mutant at the early infection phase (36 hpi).
DOI: 10.15468/dl.1gicx5
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca elliptica Labill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 284 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013213-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cye8yv
title: Occurrence Download

description: A dataset containing 68581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gambusia Poey, 1854"
 ]
}

 The dataset includes 68581 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006948-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4ak5e
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protozoa",
 "DecimalLatitude is greater than 25.0215401791452",
 "DecimalLatitude is less than 25.9419976945152",
 "DecimalLongitude is greater than -80.6455725447388",
 "DecimalLongitude is less than -79.7908424474647"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007041-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt8yuv
title: Occurrence Download

description: A dataset containing 1857823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-92.92236 19.10365,-92.5708 17.39258,-90.68115 16.88866,-87.64893 16.93071,-87.20947 18.18761,-86.11084 20.2622,-86.77002 21.8615,-89.01123 22.1874,-91.56006 20.83828,-92.92236 19.10365))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2021"
 ]
}

 The dataset includes 1857823 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004192-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h55vzh
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melaleuca elliptica Labill."
 ]
}

 The dataset includes 345 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013215-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdzr4o
title: Occurrence Download

description: A dataset containing 6385 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Colombia",
 "Country is Ecuador",
 "Country is Peru",
 "Country is Brazil",
 "Country is Bolivia (Plurinational State of)",
 "Country is Argentina"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Bomarea Mirb.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6385 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006948-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhegus
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brama myersi Mead, 1972",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001858-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6drkr
title: Occurrence Download

description: A dataset containing 6521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Pipile cujubi (Pelzeln, 1858)"
 ]
}

 The dataset includes 6521 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052592-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6llqhv
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estado de salud y estatus de conservación de la(s) población(es) de totoaba (Totoaba macdonaldi) en el Golfo de California: una especie en peligro de extinción"
 ]
}

 The dataset includes 229 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013217-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmcx23
title: Occurrence Download

description: A dataset containing 4548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Asthenes dorbignyi (Reichenbach, 1853)"
 ]
}

 The dataset includes 4548 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277932-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tryezw
title: Occurrence Download

description: A dataset containing 1043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Enchisthenes hartii (Thomas, 1892)"
 ]
}

 The dataset includes 1043 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006948-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a3vzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eupithecia filmata Pearsall, 1908",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393509-210914110416597/datasets/export for details.
DOI: 10.15468/dl.t6ye4u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fadogia cienkowskii Schweinf.",
 "Country is Côte d’Ivoire"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001859-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.994p4b
title: Occurrence Download

description: A dataset containing 11802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-29.11281 -37.57638,54.03937 -37.57638,54.03937 40.04736,-29.11281 40.04736,-29.11281 -37.57638))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphipoda"
 ]
}

 The dataset includes 11802 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080445-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qllkyl
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylomys fulviventer Anthony, 1916"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013218-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adk7vv
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serolina bakeri (Chilton, 1917)"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132387-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66ylga
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cercosaura manicata O'Shaughnessy, 1881",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 143 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013219-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdayz6
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Teucrium campanulatum L."
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001859-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh3356108.08fu
title: SH3356108.08FU

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/sh3356109.08fu
title: SH3356109.08FU

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/sh3356110.08fu
title: SH3356110.08FU

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/sh3356111.08fu
title: SH3356111.08FU

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/sh3356112.08fu
title: SH3356112.08FU

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/sh3356113.08fu
title: SH3356113.08FU

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/sh3356114.08fu
title: SH3356114.08FU

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.