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

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is 江西",
 "TaxonKey is one of (Cymbidium goeringii, Cymbidium floribundum, Cymbidium faberi, Cymbidium ensifolium, Cephalanthera falcata, Cephalanthera erecta, Calanthe graciliflora, Calanthe discolor, Bletilla striata, Amitostigma gracile, Zelkova schneideriana, Phoebe bournei, Phoebe chekiangensis)"
 ]
}

 The dataset includes 127 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005252-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcg7ts
title: Occurrence Download

description: A dataset containing 1385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is BirdLife Australia, Birdata",
 "GadmGid is AUS.10.44_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Dacelo novaeguineae, Gymnorhina tibicen, Cacatua galerita, Manorina melanocephala, Rhipidura leucophrys)",
 "Year 2009-2019"
 ]
}

 The dataset includes 1385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005253-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8gds7s9cc7
title: Potential Application of Microbial Resources in North East India: Future Prospects and Challenges

description: The North-eastern region in India is one of the most important biodiversity hot spots 
of the world. The microbial resources of this area have tremendous potentiality for 
sustainable human development and livelihood management though the 
conventional microbiological approaches of isolating and identifying microbes of 
this area have been consolidated with little advent of molecular biotechnology 
and bioinformatics. Therefore, the present review has been designed to discuss 
the immense potentiality of these economically important microbial resources of 
North-East India along with their significance in international level. Molecular 
phylogenetic analysis and development of appropriate macromolecular markers 
are considered as important key in this approach regarding maximum exploration 
of this microbial gene pool. The present paper also focuses on the application of 
bioinformatics as an important tool in microbial research, particularly, in the 
prediction of 3D structure and analysis of sequence variation of important 
microbial proteins for probable characterization of functional and evolutionary 
properties of these significant natural resources.
DOI: 10.15468/dl.p4e3f3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arachis veigae S.H.Santana & Valls"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113875-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmq33t
title: Occurrence Download

description: A dataset containing 3213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula desvauxii Kunth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3213 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001555-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75kx7n
title: Occurrence Download

description: A dataset containing 1385 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pyrrhula erythaca Blyth, 1862"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1385 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042917-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4ramw
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geostachys penangensis Ridl."
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113881-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdznk8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Berberis yiliangensis Harber"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056834-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fs44k
title: Occurrence Download

description: A dataset listing the 167 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambassidae"
 ]
}

 The dataset's 167 records were derived from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140298-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rhpqf
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pyrrhura rupicola (Tschudi, 1844)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 535 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042918-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qf4eh8
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia austriaca A.Kern.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 215 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083204-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sokxg6
title: Occurrence Download

description: A dataset containing 737 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Quadrula quadrula (Rafinesque, 1820)",
 "TaxonKey is Quercus frainetto Ten."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 737 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042919-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tbf8p
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium adiantum-nigrum subsp. woronowii (Christ) Fraser-Jenk."
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144987-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rvzux
title: Occurrence Download

description: A dataset containing 2748 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liolaemus tenuis (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 2748 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083217-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ojoebi
title: Occurrence Download

description: A dataset containing 2946587 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Quiscalus quiscula (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2946587 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042920-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ezf3n
title: Occurrence Download

description: A dataset containing 125749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Isle of Man",
 {
 "or" : [
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 }
 ]
}

 The dataset includes 125749 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348528-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsj77n
title: Occurrence Download

description: A dataset containing 1619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia biumbellata Poir.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1619 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083209-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iz6pna
title: Occurrence Download

description: A dataset containing 2998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Year 2000-2019",
 "HasCoordinate is true",
 "TaxonKey is Bulinus truncatus (Audouin, 1827)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2998 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042920-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21223/p3/j9oy6h
title: Dataset for: Geo-referenced assessment of potato diversity for baselines in monitoring hotspots and reference sites

description: Biodiversity sustains a wide variety of genetic traits that are very valuable for the potato's adaption to changing environments and successful cultivation in the future. It is assumed that several factors are threatening biodiversity in the Andes. For example, first time line comparisons using existing databases and literature indicate that potato diversity belts have shifted to higher altitudes with future consequences on resource availability for potato production systems. In the past in situ monitoring was not possible due to missing baselines and no defined reference sites that were strategically selected for long-term monitoring. The georeferenced assessment contributes to monitoring baselines through employing participatory GIS, recording of temporal dynamics of local crop rotation pattern and household surveys allows to establish a standardized system and common observation parameters, complementing the holistic diversity monitoring of the potato genepool in its center of diversity at different scales (i) allele, genes, ii) variety/species, iii) landscape, iv) collective and traditional knowledge. Within the geo-referenced data collection the following products were generated a) red lists with indicators of frequency, abundance and distribution b) distribution maps using high resolution satellite images (to describe relevant changes affecting the distribution the potato diversity).
DOI: 10.15468/dl.hkkmrp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etlingera xanthantha A.D.Poulsen"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113873-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsgj57
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia bivonae Steud.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 106 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083211-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p0jap
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procapra picticaudata Hodgson, 1846"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042916-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyzaq2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Triaenodon obesus (Rüppell, 1837)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012889-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/87vb-2280
title: Predicting how varying moisture conditions impact the microbiome of dust collected from the International Space Station (ISS)

description: On Earth, people spend 90% of their time indoors where dust and moisture can facilitate rapid microbial growth, especially fungi. The International Space Station is a specialized closed environment that contains own unique indoor microbiome. Elevated moisture such as from a temporary ventilation system malfunction may lead to unintended microbial growth indoors, which is associated with negative health outcomes and degradation of essential built environment materials. We need to develop a predictive approach for modeling microbial growth to understand when it may occur in these critical indoor spaces. Here we demonstrate that exposure to even fluctuating elevated relative humidity above 80% can lead to rapid microbial growth and community composition changes in dust from spacecraft. We were able to model fungal growth in space station dust using the time-of-wetness framework with activation and deactivation limited growth occurring at 85% and 100% relative humidity conditions, respectively. Alpha and beta diversity of fungi was altered with both significantly decreasing as relative humidity and time elevated increased. Our results demonstrate that we can use moisture conditions to develop predictive models for fungal growth and composition. Understanding microbial growth in spacecraft can protect astronaut health, spacecraft integrity, and promote planetary protection as human activity increases in low-Earth orbit, the moon, Mars, and beyond.
DOI: 10.15468/dl.fnz4yu
title: Occurrence Download

description: A dataset containing 3211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periploca laevigata Aiton"
 ]
}

 The dataset includes 3211 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083218-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lecbdn
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Radicilingua thysanorhizans (Holmes) Papenfuss, 1956"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 216 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042922-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bng5jh
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arachis simpsonii Krapov. & W.C.Greg."
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113870-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuh8c7
title: Occurrence Download

description: A dataset containing 6956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia dendroides L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6956 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083228-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38rcw5
title: Occurrence Download

description: A dataset containing 1272488 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Amphidiniaceae, Ceratiaceae, Gonyaulacaceae, Protoceratiaceae, Gymnodiniaceae, Protoperidiniaceae, Biecheleriaceae, Suessiaceae)"
 ]
}

 The dataset includes 1272488 records from 1291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083230-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1141834.10fu
title: SH1141834.10FU

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/sh1141836.10fu
title: SH1141836.10FU

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/sh1141838.10fu
title: SH1141838.10FU

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/sh1141840.10fu
title: SH1141840.10FU

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.