cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1194307.10fu
title: SH1194307.10FU

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/sh1194311.10fu
title: SH1194311.10FU

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/sh1194312.10fu
title: SH1194312.10FU

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/sh1194313.10fu
title: SH1194313.10FU

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/sh1194316.10fu
title: SH1194316.10FU

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/sh1194317.10fu
title: SH1194317.10FU

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: 10.13140/rg.2.2.19597.40164/5
title: "BRITISH LYBRARY - ST. PANCRAS (LONDON/UK) - A SEGUNDA MAIOR DO MUNDO" ("https://www.bl.uk"). 1 livro de André Valério Salles. (Doação da UBE/RN).
DOI: 10.15156/bio/sh1194319.10fu
title: SH1194319.10FU

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/sh1194321.10fu
title: SH1194321.10FU

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/sh1194323.10fu
title: SH1194323.10FU

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.28827554
title: Figure 18 Video

description: RRT algorithm flight in a online environment.
DOI: 10.6084/m9.figshare.28827554.v1
title: Figure 18 Video

description: RRT algorithm flight in a online environment.
DOI: 10.15468/dl.bxwy4e
title: Occurrence Download

description: A dataset containing 2744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tripterygiidae, 206010717, Tripterygiidae, Tripterygiidae, 167497509, Tripterygiidae, Tripterygiidae, 211762972, Tripterygiidae, 204137588, 205347536, 205001186, Tripterygiidae, 210655059, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 205825531, Tripterygiidae, 209454819, 212282712, Tripterygiidae, Tripterygiidae, TRIPTERYGIIDAE, Tripterygiidae, 201307962, 209346595, Tripterygiidae, Tripterygiidae, Tripterygiidae, 212270540, 203894494, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 210656052, Tripterygiidae, 157073650, Tripterygiidae, Tripterygiidae, Tripterygiidae, 158147333, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 212360650, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 205999771, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 204357572, 197290344, Tripterygiidae, Tripterygiidae, 187337890, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, 210218716, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, 161426067, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley, 1931, Tripterygiidae Whitley 1931, Tripterygidae Whitley, 1931, Champsodontidae, Uranoscopidae, Trachinidae, Cepolidae, Chaetodontidae, Scaridae, Mugilidae, Pomacanthidae, Cichlidae, Pomacentridae, Labridae, Trypterigionidae, Trypterigionidae Whitley, 1931, Ephippididae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2744 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054165-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/36e23d6f87cc40da
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 1 Nov 2024
DOI: 10.15468/dl.jfzwjq
title: Occurrence Download

description: A dataset containing 108770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber scombrus Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 108770 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054160-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtnkkr
title: Occurrence Download

description: A dataset containing 2026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomberesox saurus (Walbaum, 1792)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2026 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054166-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/7052800c22ac43de
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 7 Oct 2024
DOI: 10.15468/dl.huyy7f
title: Occurrence Download

description: A dataset containing 1621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomberomorus cavalla (Cuvier, 1829)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1621 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054168-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f367as
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichoderus plagiatus (Mayr, 1870)",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 174 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054169-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxrmhz
title: Occurrence Download

description: A dataset containing 8151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tirumala alba Chou & Gu, 1994, Tirumala choaspes (Butler, 1866), Tirumala euploeomorpha (Howarth, Kawazoe & Sibatani, 1976), Tirumala formosa (Godman, 1880), Tirumala gautama (Moore, 1877), Tirumala hamata (MacLeay, 1826), Tirumala ishmoides Moore, 1883, Tirumala limniace (Cramer, 1775), Tirumala petiverana (Doubleday), Tirumala septentrionis (Butler, 1874), Tiradelphe schneideri Ackery & Vane-Wright, 1984, Idea agamarschana C.Felder & R.Felder, Idea blanchardii Marchal, 1845, Idea durvillei Boisduval, 1832, Idea electra (Semper, 1878), Idea hypermnestra (Westwood, 1848), Idea iasonia (Westwood, 1848), Idea idea (Linnaeus, 1763), Idea leuconoe Erichson, 1834, Idea lynceus (Drury, 1773), Idea malabarica (Moore, 1877), Idea stolli (Moore, 1883), Idea tambusisiana Bedford Russell, 1981)",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8151 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054170-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnwcp2
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomberomorus maculatus (Mitchill, 1815)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2000 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054171-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/a04ddcfbc36d4868
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 7 Nov 2024
DOI: 10.15468/dl.btrq9r
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scopelengys tristis Alcock, 1890",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 424 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054172-241126133413365/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.28122461
title: Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution

description: This archive contains data used to generate the main figures in the paper "Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution".
DOI: 10.15468/dl.36bdwj
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scopelosaurus adleri (Fedorov, 1967)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054173-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/dfe1428435b0452d
title: Custom collection of categorize, classification, drizzle, droplet effective radius, ice effective radius, and 2 other products from Lindenberg on 8 Nov 2024
DOI: 10.5281/zenodo.12689947
title: Epidemiology of Brain Drain of Medical Students of Punjab and Islamabad Capital Territory: A Descriptive Cross-Sectional Study

description: Objectives: The term “Brain Drain” is used when highly skilled professionals leave their home country for a foreign one. This has been observed in Pakistan, where around half of medical graduates choose to migrate abroad. This study aims to determine the factors causing medical professionals to migrate in order to make relevant changes to the Pakistani healthcare system.

Design: Descriptive cross-sectional study.

Setting: The study was conducted in medical colleges and tertiary care hospital of Punjab province and Islamabad Capital Territory (ICT) of Pakistan.

Participants: Total 271 medical students in their 3rd, 4th and final years of medical school and house officers working in tertiary care hospitals were included through convenience sampling from February to July 2023. Students with foreign passport or were admitted on foreign seats were excluded.

Primary and secondary outcome measures: Primary outcome measures were the factors causing migration or push factors, and secondary outcome measures were factors opposing migration or pull factors.

Results: Two third of participants (75.3%) were in favour of migrating abroad.  Of these participants, 20.6% had no intention to return. Male participants and house officers were more willing to emigrate when compared to their counterparts (p<0.05).The most common reasons of going abroad were better quality training (65.2%) and better financial compensation (62.3%). The main suggestions made by the participants to incentivize medical graduates to stay in Pakistan were improved quality of training (48.0%), better working environment (44.6%) and job security (36.3%).

Conclusion: This study showed the potential catastrophic loss of healthcare professionals from Pakistan. Multiple factors contributing to this brain drain were determined, which need to be further studied and addressed to prevent this issue from exacerbating. This is an alarming situation for authorities, and steps should be taken to stop this mass emigration and to reduce the burden of the healthcare system.