cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1088422.10fu
title: SH1088422.10FU

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/sh1088423.10fu
title: SH1088423.10FU

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/sh1088424.10fu
title: SH1088424.10FU

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/sh1088426.10fu
title: SH1088426.10FU

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/sh1088428.10fu
title: SH1088428.10FU

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/sh1088430.10fu
title: SH1088430.10FU

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/sh1088431.10fu
title: SH1088431.10FU

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/sh1088434.10fu
title: SH1088434.10FU

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/sh1088435.10fu
title: SH1088435.10FU

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: 10.5281/zenodo.18102070
title: Sistem Evaluasi Pembelajaran Bahasa Arab dengan Acuan Nahwu Jurumiyyah jenjang SMP

description: Dalam hal ini memberikan beberapa contoh sistem evaluasi dalam pembelajaran bahasa arab. Khususnya pada hal ini adalah materi nahwu dengan panduan nahwu jurumiyyah.
DOI: 10.5281/zenodo.18102071
title: Sistem Evaluasi Pembelajaran Bahasa Arab dengan Acuan Nahwu Jurumiyyah jenjang SMP

description: Dalam hal ini memberikan beberapa contoh sistem evaluasi dalam pembelajaran bahasa arab. Khususnya pada hal ini adalah materi nahwu dengan panduan nahwu jurumiyyah.
DOI: 10.15156/bio/sh1088438.10fu
title: SH1088438.10FU

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: 10.3535/8xe-pt8-vx3
title: Granativora bruniceps

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/h29-9sw-kt8
title: Hapalocrex flaviventer

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.gwqsn5
title: Occurrence Download

description: A dataset containing 10716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylis glomerata L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10716 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083761-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3h5-jvz-p12
title: Granativora melanocephala

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.g7cypw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amomum tsao-ko Crevost & Lemarié"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083762-250525065834625/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/12338813
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15781444
title: Data table for EoS NSXM(PK1r) cold matter nparam=2

description: The data table for the EoS NSXM(PK1r) cold matter of the family Cold Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/342 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/342).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.15468/dl.75wb8q
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora (Roxb.) R.Br.",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083764-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5juand
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora (Roxb.) R.Br.",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083765-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15781391
title: Data_WP4_1 Emission inventory for the URBANOME ULLs

description: The dataset comprises model-ready, high-resolution (1 km × 1 km) gridded, sector-specific emission inventories for six key air pollutants: ammonia (NH₃), non-methane volatile organic compounds (NMVOCs), nitrogen oxides (NOₓ), coarse particulate matter (PM₁₀), fine particulate matter (PM₂.₅), and sulfur dioxide (SO₂). The dataset covers the pilot cities included in the URBANOME project and has been used as input for the atmospheric pollution model simulations in WP4
DOI: 10.5281/zenodo.15781390
title: Data_WP4_1 Emission inventory for the URBANOME ULLs

description: The dataset comprises model-ready, high-resolution (1 km × 1 km) gridded, sector-specific emission inventories for six key air pollutants: ammonia (NH₃), non-methane volatile organic compounds (NMVOCs), nitrogen oxides (NOₓ), coarse particulate matter (PM₁₀), fine particulate matter (PM₂.₅), and sulfur dioxide (SO₂). The dataset covers the pilot cities included in the URBANOME project and has been used as input for the atmospheric pollution model simulations in WP4
DOI: 10.15468/dl.3u8zcp
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora (Roxb.) R.Br.",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083766-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15781452
title: Data table for EoS NSXM(PKDD) nparam=2

description: The data table for the EoS NSXM(PKDD) of the family Cold Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/343 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/343).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.15781453
title: Data table for EoS NSXM(PKDD) nparam=2

description: The data table for the EoS NSXM(PKDD) of the family Cold Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/343 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/343).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5255/ukda-sn-857903
title: Fiction Book Reading and Wellbeing: A Qualitative Investigation Across the Lifespan, 2023-2024

description: This project aimed to examine readers’ perspectives of the relationship between their fiction book reading and wellbeing, focusing on three wellbeing concepts (positive affect, connection, personal growth) to gain depth of understanding into these. In addition, the social contexts of their reading experiences were also examined. The study took a lifespan approach, through individual interviews (total n = 78) with children (n = 24, aged 9-11), young people (n = 19, aged 15-17), adults (n = 20, aged 31-46) and older adults (n = 15 aged 63-83). More details of the project, including outputs to date, can be found here: https://blogs.ed.ac.uk/literacylab/previous-projects/readwell/
DOI: 10.5281/zenodo.15781456
title: Data table for EoS NSXM(PK1) nparam=2

description: The data table for the EoS NSXM(PK1) of the family Cold Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/344 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/344).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).