cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0102827.10fu
title: SH0102827.10FU

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: 10.13145/bacdive111102.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111102.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102828.10fu
title: SH0102828.10FU

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: 10.13145/bacdive111103.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102829.10fu
title: SH0102829.10FU

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: 10.13145/bacdive111103.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111104.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102830.10fu
title: SH0102830.10FU

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: 10.13145/bacdive111104.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111105.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102831.10fu
title: SH0102831.10FU

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: 10.13145/bacdive111105.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111106.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102832.10fu
title: SH0102832.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.n2d65n
title: Occurrence Download

description: A dataset containing 11754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Isurus oxyrinchus, Isurus paucus)"
 ]
}

 The dataset includes 11754 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004850-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2p6peg
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buddleja davidii",
 "HasCoordinate is true",
 "Country is Luxembourg"
 ]
}

 The dataset includes 397 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004853-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14463235
title: Assessing and Promoting Sustainable Opportunities in Myanmar MSMEs

description: Micro, Small, and Medium Enterprises (MSMEs) form the backbone of Myanmar's economy, contributing significantly to employment, GDP, and community development. However, the integration of sustainable practices into MSMEs remains a critical challenge due to limited resources, knowledge gaps, and socio-political instability. This study by EHS Myanmar explores the current landscape, challenges, and opportunities for MSMEs in advancing sustainable development. Through a qualitative approach, involving secondary data and expert interviews, the research examines the environmental and social impacts of MSMEs, highlighting both positive contributions and adverse effects such as pollution and biodiversity loss. MSMEs play a pivotal role in achieving global Sustainable Development Goals (SDGs), particularly those related to clean energy, responsible consumption, and climate action. Nevertheless, they often lack access to affordable financing, adequate infrastructure, and technical expertise, which hinders their ability to adopt eco-friendly practices. Focused on Yangon and Mandalay, this study identifies key barriers to sustainability, including insufficient waste management, resource depletion, and vulnerability to climate change. Despite these challenges, MSMEs in Myanmar exhibit potential to drive sustainable growth by leveraging green technologies, fostering community engagement, and aligning with international best practices. Recommendations emphasize capacity-building initiatives, policy reforms, and financial incentives to encourage sustainable business models. This research underscores the importance of tailored interventions to enhance MSME resilience and competitiveness while safeguarding the environment. By addressing systemic challenges and fostering collaboration among stakeholders, Myanmar’s MSMEs can transition towards sustainability, contributing to long-term economic growth and environmental preservation. The findings aim to inform policymakers, business leaders, and development organizations in shaping a sustainable future for the MSME sector.
DOI: 10.5281/zenodo.14463236
title: Assessing and Promoting Sustainable Opportunities in Myanmar MSMEs

description: Micro, Small, and Medium Enterprises (MSMEs) form the backbone of Myanmar's economy, contributing significantly to employment, GDP, and community development. However, the integration of sustainable practices into MSMEs remains a critical challenge due to limited resources, knowledge gaps, and socio-political instability. This study by EHS Myanmar explores the current landscape, challenges, and opportunities for MSMEs in advancing sustainable development. Through a qualitative approach, involving secondary data and expert interviews, the research examines the environmental and social impacts of MSMEs, highlighting both positive contributions and adverse effects such as pollution and biodiversity loss. MSMEs play a pivotal role in achieving global Sustainable Development Goals (SDGs), particularly those related to clean energy, responsible consumption, and climate action. Nevertheless, they often lack access to affordable financing, adequate infrastructure, and technical expertise, which hinders their ability to adopt eco-friendly practices. Focused on Yangon and Mandalay, this study identifies key barriers to sustainability, including insufficient waste management, resource depletion, and vulnerability to climate change. Despite these challenges, MSMEs in Myanmar exhibit potential to drive sustainable growth by leveraging green technologies, fostering community engagement, and aligning with international best practices. Recommendations emphasize capacity-building initiatives, policy reforms, and financial incentives to encourage sustainable business models. This research underscores the importance of tailored interventions to enhance MSME resilience and competitiveness while safeguarding the environment. By addressing systemic challenges and fostering collaboration among stakeholders, Myanmar’s MSMEs can transition towards sustainability, contributing to long-term economic growth and environmental preservation. The findings aim to inform policymakers, business leaders, and development organizations in shaping a sustainable future for the MSME sector.
DOI: 10.15468/dl.a7vjaz
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034154-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005700.v1.0.1
title: NeuroEmo: An fMRI Dataset for Emotion Recognition
DOI: 10.15468/dl.7m2rkv
title: Occurrence Download

description: A dataset containing 1836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia scoparia Waldst. & Kit."
 ]
}

 The dataset includes 1836 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrd6tw
title: Occurrence Download

description: A dataset containing 1453791 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Nepal"
 ]
}

 The dataset includes 1453791 records from 900 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034149-241126133413365/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.3520358.v2
title: Gravito-rotational Dragging

description: Previous work on the concept of gravito<i>-</i>rotational
acceleration (GRA) and its dynamical role is surveyed, with main emphasis on
the GRA's influence exerted on a test<i>-</i>body in orbital motion around a
rotating gravitational source (heavy central mass). Such an influence is
typically interpreted as a ʻgravito<i>-</i>rotational dragging (effect)ʼ, this phenomenon
is very similar to the so<i>-</i>called Lense<i>-</i>Thirring effect (frame
dragging) in the framework of general relativity theory (GRT). Some applications
are considered include (i) the orbital plane dragging of artificial satellites LAGEOS,
LAGEOS II and LARES; (ii)  the effect of
the Earth's GRA on the orbital motion of the Moon; (iii) the effect of the
Sun's GRA on the orbital motion of Mercury. Also, it is shown that the
conceptual existence of ʻgravito<i>-</i>rotational dragging (effect)ʼ and its
quantitative agreement with GRT<i>-</i>predictions should imply, among other
things, that the geometrization of gravity is
unnecessary for physics.
DOI: 10.15468/dl.83k5kh
title: Occurrence Download

description: A dataset containing 47250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.19_1",
 "TaxonKey is Dicrurus macrocercus Vieillot, 1817"
 ]
}

 The dataset includes 47250 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034158-241126133413365/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.28028341.v1
title: Supplementary Information from DNA and spores from coprolites reveal that colourful truffle-like fungi endemic to NZ were consumed by extinct moa (Dinornithiformes)

description: Supplementary information: includes Dataset description, results of phylogenetic analyses, and photographs of fungal spores
DOI: 10.6084/m9.figshare.28028341
title: Supplementary Information from DNA and spores from coprolites reveal that colourful truffle-like fungi endemic to NZ were consumed by extinct moa (Dinornithiformes)

description: Supplementary information: includes Dataset description, results of phylogenetic analyses, and photographs of fungal spores
DOI: 10.15468/dl.cq8cqe
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Actinidia chengkouensis C.Y.Chang"
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034159-241126133413365/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.25719732
title: Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework

description: Geodemographic analysis involves clustering geographic areas into socio-demographically homogeneous groups. However, most existing methods prioritize overall effectiveness, measured by minimizing total costs, potentially misrepresenting specific subgroups within the data. Despite a growing literature on fair clustering, it focuses almost exclusively on crisp clustering, failing to address the inherent fuzziness of the real world. This study addresses these gaps by introducing a socially-fair geodemographic clustering (SFGC) framework, which modifies the classical fuzzy-c means (FCM) by incorporating a new cost function that, instead of minimizing total costs, minimizes the maximum average cost across all subgroups. SFGC also introduces a gradient descent-based algorithm to optimize this new cost function. In addition, SFGC can be directly adapted to crisp clustering, facilitating practical implementation and comparison of clustering algorithms.
DOI: 10.6084/m9.figshare.25719732.v1
title: Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework

description: Geodemographic analysis involves clustering geographic areas into socio-demographically homogeneous groups. However, most existing methods prioritize overall effectiveness, measured by minimizing total costs, potentially misrepresenting specific subgroups within the data. Despite a growing literature on fair clustering, it focuses almost exclusively on crisp clustering, failing to address the inherent fuzziness of the real world. This study addresses these gaps by introducing a socially-fair geodemographic clustering (SFGC) framework, which modifies the classical fuzzy-c means (FCM) by incorporating a new cost function that, instead of minimizing total costs, minimizes the maximum average cost across all subgroups. SFGC also introduces a gradient descent-based algorithm to optimize this new cost function. In addition, SFGC can be directly adapted to crisp clustering, facilitating practical implementation and comparison of clustering algorithms.
DOI: 10.15468/dl.yr9r4r
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 100",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034160-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wrj95
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 1000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyrf35
title: Occurrence Download

description: A dataset containing 2861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dimocarpus longan Lour."
 ]
}

 The dataset includes 2861 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034162-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naprfp
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 10000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 59 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034163-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.