cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc7k7gg
title: CCDC 225105: Experimental Crystal Structure Determination

description: Related Article: D.G.Lonnon, D.C.Craig, S.B.Colbran, P.V.Bernhardt|2004|Dalton Trans.||778|doi:10.1039/b315202b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.685h23
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apterygiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((50 -20,60 -20,60 -10,50 -10,50 -20))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018906-251009101135966/datasets/export for details.
DOI: 10.5517/cc7k7hh
title: CCDC 225106: Experimental Crystal Structure Determination

description: Related Article: D.G.Lonnon, D.C.Craig, S.B.Colbran, P.V.Bernhardt|2004|Dalton Trans.||778|doi:10.1039/b315202b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7k7jj
title: CCDC 225107: Experimental Crystal Structure Determination

description: Related Article: D.G.Lonnon, D.C.Craig, S.B.Colbran, P.V.Bernhardt|2004|Dalton Trans.||778|doi:10.1039/b315202b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7p0gc
title: CCDC 228732: Experimental Crystal Structure Determination

description: Related Article: S.G.McKinley, P.A.Vecchi, A.Ellern, R.J.Angelici|2004|Dalton Trans.||788|doi:10.1039/b311933e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1409447.10fu
title: SH1409447.10FU

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/sh1409448.10fu
title: SH1409448.10FU

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/sh1409449.10fu
title: SH1409449.10FU

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/sh1409450.10fu
title: SH1409450.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31056733
title: Open ended responses Q26: "Student voices on Teaching, Learning and Assessment'

description: This study investigated student feedback on a first-year, second-semester module titled School-Based Work: Integrated Learning. The module, an 8-credit component of a four-year teacher training qualification is offered to first year students. At the time when the research was conducted, 531 students were registered for the module. Delivered and assessed by four lecturers through the Blackboard e-learning platform, the module aims to blend academic instruction with practical application. Feedback was gathered from 328 students through an online SurveyMonkey questionnaire and analyzed using inductive thematic analysis conducted by two independent coders. This research is part of an ongoing evaluation of the School Based Work Integrated Learning Year 1 course since 2021.
DOI: 10.6084/m9.figshare.31056733.v1
title: Open ended responses Q26: "Student voices on Teaching, Learning and Assessment'

description: This study investigated student feedback on a first-year, second-semester module titled School-Based Work: Integrated Learning. The module, an 8-credit component of a four-year teacher training qualification is offered to first year students. At the time when the research was conducted, 531 students were registered for the module. Delivered and assessed by four lecturers through the Blackboard e-learning platform, the module aims to blend academic instruction with practical application. Feedback was gathered from 328 students through an online SurveyMonkey questionnaire and analyzed using inductive thematic analysis conducted by two independent coders. This research is part of an ongoing evaluation of the School Based Work Integrated Learning Year 1 course since 2021.
DOI: 10.15156/bio/sh1409451.10fu
title: SH1409451.10FU

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/sh1409453.10fu
title: SH1409453.10FU

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: 10.5517/ccdc.csd.cc2hg7dm
title: CCDC 2307590: Experimental Crystal Structure Determination

description: Related Article: Yahui Zhu, Zuju Ma, Shuangcheng Li, Zilong Geng, Ruibiao Fu|2024|Adv. Opt. Mater.|12|2400194|doi:10.1002/adom.202400194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hg7fn
title: CCDC 2307591: Experimental Crystal Structure Determination

description: Related Article: Yahui Zhu, Zuju Ma, Shuangcheng Li, Zilong Geng, Ruibiao Fu|2024|Adv. Opt. Mater.|12|2400194|doi:10.1002/adom.202400194
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1409457.10fu
title: SH1409457.10FU

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: 10.5517/ccdc.csd.cc2mpb4t
title: CCDC 2433566: Experimental Crystal Structure Determination

description: Related Article: Sk Shamim Ahamed, Uma Sankar Mandal, Rabindranath Lo, Debashree Manna, Tapas Ghosh|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1409459.10fu
title: SH1409459.10FU

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: 10.5517/ccdc.csd.cc2mpb8y
title: CCDC 2433570: Experimental Crystal Structure Determination

description: Related Article: Sk Shamim Ahamed, Uma Sankar Mandal, Rabindranath Lo, Debashree Manna, Tapas Ghosh|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mpb9z
title: CCDC 2433571: Experimental Crystal Structure Determination

description: Related Article: Sk Shamim Ahamed, Uma Sankar Mandal, Rabindranath Lo, Debashree Manna, Tapas Ghosh|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.uvobd2
title: Occurrence Download

description: A dataset containing 2666 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ononis fruticosa L."
 ]
}

 The dataset includes 2666 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005328-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrhf0e
title: Occurrence Download

description: A dataset containing 21063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia campestris L."
 ]
}

 The dataset includes 21063 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005311-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3jqrq
title: Occurrence Download

description: A dataset containing 42436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus coccifera L."
 ]
}

 The dataset includes 42436 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005332-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxkzri
title: Occurrence Download

description: A dataset containing 55071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosmarinus officinalis L."
 ]
}

 The dataset includes 55071 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005334-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0gcp8y
title: Occurrence Download

description: A dataset containing 113504266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Modified date invalid",
 "Issue is Elevation non numeric",
 "Issue is Elevation not metric",
 "Issue is Coordinate reprojection suspicious",
 "Issue is Presumed negated longitude",
 "Issue is Depth unlikely",
 "Issue is Identified date invalid",
 "Issue is Elevation min max swapped",
 "Issue is Taxon match none",
 "Issue is Taxon match fuzzy",
 "Issue is Modified date unlikely",
 "Issue is Coordinate reprojected",
 "Issue is Presumed swapped coordinate",
 "Issue is References URI invalid",
 "Issue is Coordinate rounded",
 "Issue is Identified date unlikely",
 "Issue is Depth non numeric",
 "Issue is Country derived from coordinates",
 "Issue is Coordinate reprojection failed",
 "Issue is Presumed negated latitude",
 "Issue is Multimedia URI invalid",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Taxon match higher rank",
 "Issue is Elevation unlikely",
 "Issue is Continent derived from coordinates",
 "Issue is Depth min max swapped",
 "Issue is Recorded date invalid",
 "Issue is Recorded date mismatch",
 "Issue is Depth not metric",
 "Issue is Multimedia date invalid",
 "Issue is Recorded date unlikely"
 ]
 }
 ]
}

 The dataset includes 113504266 records from 2340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021901-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18674639
title: Geospatial and cadastral dataset for automated integration of water fund land data in the State Land Cadastre (Lviv territorial community, Ukraine)

description: This dataset contains geospatial and cadastral information used for the automated integration of water fund land records within the State Land Cadastre of Ukraine.

The dataset combines cadastral parcel boundaries, urban planning layers, municipal geoinformation resources and open geospatial data of the Lviv territorial community. It is structured to support spatial analysis, verification of land parcel attributes, and harmonisation of spatial, legal and functional characteristics of water fund lands.

The dataset was prepared within a research framework aimed at improving the consistency of cadastral records and supporting spatial planning and land management processes at the local level.

The dataset can be applied in cadastral registration procedures, spatial planning, verification of planning restrictions, and research on geospatial data integration in land management systems.

The geometries provided in this dataset are generalized representations created for research and methodological demonstration of data integration workflows. They do not represent official cadastral boundaries.
DOI: 10.5281/zenodo.18674640
title: Geospatial and cadastral dataset for automated integration of water fund land data in the State Land Cadastre (Lviv territorial community, Ukraine)

description: This dataset contains geospatial and cadastral information used for the automated integration of water fund land records within the State Land Cadastre of Ukraine.

The dataset combines cadastral parcel boundaries, urban planning layers, municipal geoinformation resources and open geospatial data of the Lviv territorial community. It is structured to support spatial analysis, verification of land parcel attributes, and harmonisation of spatial, legal and functional characteristics of water fund lands.

The dataset was prepared within a research framework aimed at improving the consistency of cadastral records and supporting spatial planning and land management processes at the local level.

The dataset can be applied in cadastral registration procedures, spatial planning, verification of planning restrictions, and research on geospatial data integration in land management systems.

The geometries provided in this dataset are generalized representations created for research and methodological demonstration of data integration workflows. They do not represent official cadastral boundaries.