cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.66897c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nucifraga columbiana (A.Wilson, 1811)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215540-220831081235567/datasets/export for details.
DOI: 10.15468/dl.tjtayv
title: Occurrence Download

description: A dataset containing 2658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptochloa mucronata (Michx.) Kunth"
 ]
}

 The dataset includes 2658 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008066-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpcp9w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Varanus macraei Böhme & Jacobs, 2001",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215522-220831081235567/datasets/export for details.
DOI: 10.15468/dl.xuhfxs
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Conyza suffruticosa Phil., Diposis bulbocastanum DC.)"
 ]
}

 The dataset includes 42 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008067-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13185743
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.24mhex
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium japonicum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 886 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022397-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxmtyw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baltimora recta",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022399-250920141307145/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.30225193
title: case report supplement materials

description: TAVI VIV in severe AR in Bioprosthetic aortic valve case report<br>
DOI: 10.6084/m9.figshare.30225193.v1
title: case report supplement materials

description: TAVI VIV in severe AR in Bioprosthetic aortic valve case report<br>
DOI: 10.15468/dl.nw8czq
title: Occurrence Download

description: A dataset containing 13327 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The observation records from whale and dolphin watching inshore of Hualien, eastern Taiwan｜臺灣花蓮近海賞鯨之鯨豚觀測紀錄"
 ]
}

 The dataset includes 13327 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022400-250920141307145/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.30225217.v1
title: <b>ASEAN AI Readiness, Innovation, Trade Openness, and SDG Panel</b>

description: Panel dataset covering 10 ASEAN countries (2020-2024) for AI Readiness pillars (Government, Technology Sector, Data & Infrastructure), Global Innovation Index (overall, Inputs, Outputs), SDG Index score, GDP per capita, and Trade openness. Trade openness is defined as goods + services (% of GDP); where the aggregate series was missing, openness was computed as Merchandise (% GDP) + Services (% GDP). <br><b>Country identifiers:</b> Instead of country names, the panel uses international telephone dialing codes as the country label in the <code>Country</code> column (e.g., Brunei +673, Indonesia +62, Cambodia +855, Lao PDR +856, Myanmar +95, Malaysia +60, Philippines +63, Singapore +65, Thailand +66, Viet Nam +84).<br>This dataset supports analyses of whether innovation capability moderates the AI-SDG relationship in ASEAN.
DOI: 10.15468/dl.zmgx79
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022401-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txw85u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens rubicundula",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022402-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h39k5y
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmos bipinnatus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022403-250920141307145/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.30225241
title: Life cycle embodied greenhouse gas emissions of new residential buildings in Uganda, A case study - Material Quantities & Modelling

description: The population in many developing countries is growing at relatively high rates amidst a severe housing deficit. One such country is Uganda where the demand for houses is escalating. The resulting surge in the construction of houses has led to increased use of building materials, both locally produced and imported. This heightened construction activity negatively impacts the environment since the supply chains of individual building materials and entire buildings are associated with a considerable greenhouse gas emission. However, little research has been conducted to quantify the greenhouse gas emissions associated with construction of new residential houses in Uganda. The major challenge in this regard is the lack of context-specific environmental flow data associated with building materials that could be used to estimate buildings environmental impacts through life cycle assessment. This study explored the use of proxy data compiled using hybrid life cycle inventory analysis for the Australian context to estimate life cycle embodied greenhouse gas emissions associated with a new detached residential building in Uganda. The results indicate that a two-storey single-family house accounts for approximately 945 kgCO2-e/m2 of embodied greenhouse gas emissions. The findings in this study highlight several implications for policymaking in Uganda and similar contexts about the best approaches and data sources to use when considering developing tools like life cycle assessment-based benchmarks for buildings. Additionally, the findings emphasise the need to further develop low-emission local construction technologies, and biogenic and geogenic material substitutes, and to consider regulating house size to effectively reduce building-related greenhouse gas emissions.
DOI: 10.6084/m9.figshare.30225241.v1
title: Life cycle embodied greenhouse gas emissions of new residential buildings in Uganda, A case study - Material Quantities & Modelling

description: The population in many developing countries is growing at relatively high rates amidst a severe housing deficit. One such country is Uganda where the demand for houses is escalating. The resulting surge in the construction of houses has led to increased use of building materials, both locally produced and imported. This heightened construction activity negatively impacts the environment since the supply chains of individual building materials and entire buildings are associated with a considerable greenhouse gas emission. However, little research has been conducted to quantify the greenhouse gas emissions associated with construction of new residential houses in Uganda. The major challenge in this regard is the lack of context-specific environmental flow data associated with building materials that could be used to estimate buildings environmental impacts through life cycle assessment. This study explored the use of proxy data compiled using hybrid life cycle inventory analysis for the Australian context to estimate life cycle embodied greenhouse gas emissions associated with a new detached residential building in Uganda. The results indicate that a two-storey single-family house accounts for approximately 945 kgCO2-e/m2 of embodied greenhouse gas emissions. The findings in this study highlight several implications for policymaking in Uganda and similar contexts about the best approaches and data sources to use when considering developing tools like life cycle assessment-based benchmarks for buildings. Additionally, the findings emphasise the need to further develop low-emission local construction technologies, and biogenic and geogenic material substitutes, and to consider regulating house size to effectively reduce building-related greenhouse gas emissions.
DOI: 10.15468/dl.7d25a3
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptocarpus brasiliensis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 450 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022404-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rnryp
title: Occurrence Download

description: A dataset containing 1042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eucheumatopsis isiformis"
 ]
}

 The dataset includes 1042 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022405-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2gcyr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gloydius swild"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022406-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh3fvm
title: Occurrence Download

description: A dataset containing 2979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassocephalum crepidioides",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2979 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022407-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9k785
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clibadium armanii",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 570 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022408-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0184005.10fu
title: SH0184005.10FU

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/sh0184006.10fu
title: SH0184006.10FU

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/sh0184007.10fu
title: SH0184007.10FU

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/sh0184008.10fu
title: SH0184008.10FU

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/sh0184009.10fu
title: SH0184009.10FU

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/sh0184010.10fu
title: SH0184010.10FU

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/sh0184011.10fu
title: SH0184011.10FU

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/sh0184012.10fu
title: SH0184012.10FU

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/sh0184013.10fu
title: SH0184013.10FU

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.