cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5q5e7t
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fibigia clypeata (L.) Medik., Farsetia rostrata Schenk, Alyssum cheiranthifolium Willd., Draba clypeata Bergeret, 1786, Fibigia yildirimlii Kiliç, Fibigia clypeata (L.) Boiss., Farsetia eriocarpa DC., Fibigia clypeata var. clypeata, Alyssum clypeatum L., Fibigia rostrata (Schenk) Boiss., Farsetia clypeata var. rostrata (Schenk) E.Fourn., Farsetia cheiranthifolia (Willd.) Desv., Fibigia eriocarpa (DC.) Boiss., Fibigia clypeata var. eriocarpa (DC.) J.Thiébaut, Fibigia clypeata subsp. eriocarpa (DC.) Greuter, Draba clypeata (L.) Lam., Acuston clypeatum (L.) Raf., Farsetia clypeata (L.) R.Br., Farsetia clypeata (L.) W.T.Aiton, Fibigia clypeata (L.) Boiss. ex Prantl, 1891, Lunaria clypeata (L.) All.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 767 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002813-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59b4wv
title: Occurrence Download

description: A dataset containing 1327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Microcystis aeruginosa_H"
 ]
}

 The dataset includes 1327 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002814-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz7zfs
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iranocichla hormuzensis Coad, 1982"
 ]
}

 The dataset includes 50 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002816-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqb7jh
title: Occurrence Download

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anastrepha ludens (Loew, 1873)"
 ]
}

 The dataset includes 806 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002815-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wbvtp
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Frangula rupestris (Scop.) Schur, Rhamnus rupestris Scop., Rhamnus pumila var. wulfenii DC., Rhamnus wulfenii Spreng., Rhamnus pumila Wulfen, Rhamnus nicolae Simonk., Rhamnus albanica Pénzes, Rhamnus rumeliacea Friv., Rhamnus wulfenii Hoppe, Frangula wulfenii (Hoppe) Rchb., Rhamnus wulfenii (Hoppe), 1823)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 193 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002818-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx2wrn
title: Occurrence Download

description: A dataset containing 1934 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arachis pintoi Krapov. & W.C.Greg."
 ]
}

 The dataset includes 1934 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002819-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z67aje
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fritillaria messanensis Raf.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 155 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13883141
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.13750986
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.13750987
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.13830009
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.13966491
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.14231070
title: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae / Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

description: Data for the e-learning tutorial: Bioinformatics course: Genomic Surveillance of Streptococcus pneumoniae and Streptococcus agalactiae

Datos para el tutorial e-learning: Curso de bioinformática: Vigilancia genómica de Streptococcus pneumoniae y Streptococcus agalactiae
DOI: 10.5281/zenodo.14170880
title: Urban Air Pollution and Child Neurodevelopmental Conditions: A Systematic Bibliometric Review

description: The dataset for this research was compiled through an advanced PubMed search targeting publications from a one-year period. Keywords focused on air pollution, neurodevelopment, and associated disorders. From an initial pool of 450 publications, filtering based on co-occurrence of relevant keywords reduced this to approximately 44 papers. VOSviewer was employed to analyze co-occurrences and generate a visual map of relationships between air pollution and child neurodevelopment. The thesaurus was applied to standardize terminology, refining the final network for detailed analysis of keyword clusters and their interactions.
DOI: 10.5281/zenodo.14228157
title: Dataset for a 3D-printed SuperCube cosmic test

description: This is the dataset of a cosmic test of a 3D-printed plastic scintillator particle detector prototype.
DOI: 10.5281/zenodo.14228158
title: Dataset for a 3D-printed SuperCube cosmic test

description: This is the dataset of a cosmic test of a 3D-printed plastic scintillator particle detector prototype.
DOI: 10.15468/dl.25vykv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "StateProvince is Kansas",
 "TaxonKey is Geomyphilus kiowensis (Gordon & Salsbury, 1999)"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002821-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pq67xf
title: Occurrence Download

description: A dataset containing 35396613 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset includes 35396613 records from 4113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002743-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3tc9u
title: Occurrence Download

description: A dataset containing 164618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dinophyceae",
 "Year 2021-2024"
 ]
}

 The dataset includes 164618 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002692-250221090833381/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.28375544
title: <b>supplementary table and figure</b>

description: plant genetics
DOI: 10.6084/m9.figshare.28375544.v2
title: <b>supplementary table and figure</b>

description: plant genetics
DOI: 10.6084/m9.figshare.28375544.v1
title: <b>supplementary table and figure</b>

description: plant genetics
DOI: 10.15468/dl.gefcbj
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hydropotes inermis Swinhoe, 1870"
 ]
}

 The dataset includes 161 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002711-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/e70ef94f-95f2-4270-ad8c-b52761ed3ab2
title: Data underlying the PhD thesis: Ecophysiology of N2O-emitting microbial communities

description: The dataset includes files from the PhD thesis that were not included as supplementary information of research articles. The objective of the study was to deepen our understanding of microbial communities that convert nitrogen and produce nitrous oxide. Microbial communities were studied in the laboratory and in a wastewater treatment plant. The datasets include: 1) all the nitrogen and carbon measurements performed in two lab-scale bioreactors enriched in denitrifying microorganisms; 2) the nitrification and denitrification activities of the wastewater treatment plant microbiomes measured every two weeks between January 2021 and May 2022, including the raw data; 3) the full-scale wastewater treatment plant operation data collected by the operators during the same period. All data is included in excel format.; 4) the functional annotations of the coding sequences predicted from the DNA data collected from a full-scale wastewater treatment plant; 5) the mean abundance of each protein (in percentage) in the samples collected from the full-scale wastewater treatment plant; 6) the standard error of these protein abundances calculated from technical duplicates.
DOI: 10.4121/e70ef94f-95f2-4270-ad8c-b52761ed3ab2.v1
title: Data underlying the PhD thesis: Ecophysiology of N2O-emitting microbial communities

description: The dataset includes files from the PhD thesis that were not included as supplementary information of research articles. The objective of the study was to deepen our understanding of microbial communities that convert nitrogen and produce nitrous oxide. Microbial communities were studied in the laboratory and in a wastewater treatment plant. The datasets include: 1) all the nitrogen and carbon measurements performed in two lab-scale bioreactors enriched in denitrifying microorganisms; 2) the nitrification and denitrification activities of the wastewater treatment plant microbiomes measured every two weeks between January 2021 and May 2022, including the raw data; 3) the full-scale wastewater treatment plant operation data collected by the operators during the same period. All data is included in excel format.
DOI: 10.4121/e70ef94f-95f2-4270-ad8c-b52761ed3ab2.v2
title: Data underlying the PhD thesis: Ecophysiology of N2O-emitting microbial communities

description: The dataset includes files from the PhD thesis that were not included as supplementary information of research articles. The objective of the study was to deepen our understanding of microbial communities that convert nitrogen and produce nitrous oxide. Microbial communities were studied in the laboratory and in a wastewater treatment plant. The datasets include: 1) all the nitrogen and carbon measurements performed in two lab-scale bioreactors enriched in denitrifying microorganisms; 2) the nitrification and denitrification activities of the wastewater treatment plant microbiomes measured every two weeks between January 2021 and May 2022, including the raw data; 3) the full-scale wastewater treatment plant operation data collected by the operators during the same period. All data is included in excel format.; 4) the functional annotations of the coding sequences predicted from the DNA data collected from a full-scale wastewater treatment plant; 5) the mean abundance of each protein (in percentage) in the samples collected from the full-scale wastewater treatment plant; 6) the standard error of these protein abundances calculated from technical duplicates.
DOI: 10.6084/m9.figshare.28468529
title: Global GIS Faculty CSV file

description: The two files is the csv version of PhD Origin and Current Affiliation of Global GIS Faculty
DOI: 10.23634/mmu.00637190
title: Capillarisation and oxidative capacity constrain muscle fibre size

description: Background It has been suggested that angiogenesis during skeletal muscle fibre hypertrophy allows to escape the ‘size constraint’, which is the inverse relationship between oxidative capacity and muscle fibre cross-sectional area (FCSA). It is, however, not yet known whether there are any limitations to the combinations of FCSA, oxidative capacity and capillary supply to a fibre.
Methods To study a wide range of fibre sizes and fibre oxidative capacities, we assessed the FCSA, oxidative capacity and capillary supply to individual fibres from different muscles from mice, recreationally active men and women, and highly resistance-trained men.
Results Irrespective of species and muscle origin, both the oxidative capacity and number of capillaries around a fibre (CAF) per FCSA (CAF/FCSA) showed an upper limit at each FCSA. The upper limit of fibre oxidative capacity was likely determined by diffusion constraints. The upper limit of CAF/FCSA was determined by physical constraints where i) there is no further reduction in maximal diffusion distance to the core of a fibre beyond a CAF of 2, and ii) the reduction in fibre area supplied by a capillary diminishes exponentially with an increase in CAF. The calculated upper limits of oxidative capacity and CAF/FCSA of a fibre of a given FCSA were linearly related.
Discussion and conclusion Irrespective of species, muscle of origin and training status, diffusion limitations and physical limitations to capillary placement around a fibre place an upper limit on the oxidative capacity and capillary supply to a fibre of a given size, respectively.
DOI: 10.4121/2e329e76-5f48-4d7f-bd70-4bd6d3238846
title: Data underlying the MSc thesis: Integration of Pedagogical Agent in Counselling Simulation Training For Child Helplines

description: Data collected as part of an evaluation study of an integrated Pedagogical agent in simulation training for child helplines counsellors to publish a paper, "Integration of Pedagogical Agent in Counselling Simulation Training For Child Helplines". This dataset contains results of participants with regards to three measures - performance during interactions in the simulation training, counselling self-efficacy and perceived usefulness of the system. It also contains double coding analysis. The design of the study is available at https://osf.io/9gtbm.
DOI: 10.4121/2e329e76-5f48-4d7f-bd70-4bd6d3238846.v1
title: Data underlying the MSc thesis: Integration of Pedagogical Agent in Counselling Simulation Training For Child Helplines

description: Data collected as part of an evaluation study of an integrated Pedagogical agent in simulation training for child helplines counsellors to publish a paper, "Integration of Pedagogical Agent in Counselling Simulation Training For Child Helplines". This dataset contains results of participants with regards to three measures - performance during interactions in the simulation training, counselling self-efficacy and perceived usefulness of the system. It also contains double coding analysis. The design of the study is available at https://osf.io/9gtbm.
DOI: 10.15468/dl.f4g45j
title: Occurrence Download

description: A dataset containing 73579 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artocarpus J.R.Forst. & G.Forst."
 ]
}

 The dataset includes 73579 records from 497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002712-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y9tvh
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miquelia Meisn."
 ]
}

 The dataset includes 244 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041196-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7mpsk
title: Occurrence Download

description: A dataset containing 130999959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 50,180 50,180 90,-180 90,-180 50))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 130999959 records from 2173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245197-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0215135.10fu
title: SH0215135.10FU

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/sh0215136.10fu
title: SH0215136.10FU

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/sh0215137.10fu
title: SH0215137.10FU

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.