cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w8uxny
title: Occurrence Download

description: A dataset containing 23684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spatula discors",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23684 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002930-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr6282
title: NMR assignment of the turtle prion protein fragments tPrP(121-225)
DOI: 10.13018/bmr6283
title: 1H and 15N Chemical Shift Assignments for CLP
DOI: 10.15468/dl.bbn95b
title: Occurrence Download

description: A dataset containing 7980217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Israel",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Insecta, Plantae)"
 ]
}

 The dataset includes 7980217 records from 693 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002902-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16628628
title: A model for evaluating how well disaster knowledge management systems work to disseminate information about mitigating the effects of natural disasters

description: With climate change and global warming currently affecting the Indonesian archipelago, the threat of disasters, both small and large, is a constant. This demonstrates Indonesia's vulnerability to disasters such as earthquakes, tsunamis, volcanic eruptions, floods, droughts, landslides, and other geological hazards. In conjunction with the 2030 Sustainable Development Agenda, which includes 17 Sustainable Development Goals (SDGs), the SDGs will guide the achievement of the global goal of sustainable development by 2030. This research is crucial because it is based on the development of a model to evaluate the effectiveness of public information distribution regarding natural disaster mitigation. Through the implementation of a Knowledge Management System, the dissemination of autonomous disaster mitigation outreach programs can be enhanced. Factor analysis methods were used in processing respondent data to identify key factors influencing outreach performance, and regression analysis methods were used to construct a model that represents the current state of mitigation outreach and can be used to develop future implementation strategies. The results indicate that disaster knowledge management, strategic outreach, a knowledge transfer paradigm, social empowerment, and community development. The level of respondents' understanding of disasters gave a score of 6.63 on a scale of 10.00 at this time, which means that it can still be optimized to reach the maximum number so that the community is ready to face disasters.
DOI: 10.5281/zenodo.16628629
title: A model for evaluating how well disaster knowledge management systems work to disseminate information about mitigating the effects of natural disasters

description: With climate change and global warming currently affecting the Indonesian archipelago, the threat of disasters, both small and large, is a constant. This demonstrates Indonesia's vulnerability to disasters such as earthquakes, tsunamis, volcanic eruptions, floods, droughts, landslides, and other geological hazards. In conjunction with the 2030 Sustainable Development Agenda, which includes 17 Sustainable Development Goals (SDGs), the SDGs will guide the achievement of the global goal of sustainable development by 2030. This research is crucial because it is based on the development of a model to evaluate the effectiveness of public information distribution regarding natural disaster mitigation. Through the implementation of a Knowledge Management System, the dissemination of autonomous disaster mitigation outreach programs can be enhanced. Factor analysis methods were used in processing respondent data to identify key factors influencing outreach performance, and regression analysis methods were used to construct a model that represents the current state of mitigation outreach and can be used to develop future implementation strategies. The results indicate that disaster knowledge management, strategic outreach, a knowledge transfer paradigm, social empowerment, and community development. The level of respondents' understanding of disasters gave a score of 6.63 on a scale of 10.00 at this time, which means that it can still be optimized to reach the maximum number so that the community is ready to face disasters.
DOI: 10.7910/dvn/5ycc3c
title: Replication Data: IRRI Long Term Continuous Cropping Experiment 2002
title: IRRI LTCCE 2002

description: This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 2002
description: application/txt
DOI: 10.15156/bio/sh1412357.10fu
title: SH1412357.10FU

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/sh1412359.10fu
title: SH1412359.10FU

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.xfte84
title: Occurrence Download

description: A dataset containing 3681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (India, Nepal, Russian Federation, Indonesia, Thailand, China, Bangladesh, Lao People’s Democratic Republic, Malaysia, Bhutan, Cambodia, Viet Nam, Myanmar)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Sharing vertebrate occurrence data from camera traps in Asia, Camera trap database of Tiger from Rajaji National Park, Uttarakhand, India Biodiversity Portal publication grade dataset, Mammal occurrence in Valparai Plateau and Anamalai Tiger Reserve, Tamil Nadu, India (2015-18), NABU|naturgucker, Mammal occurrence records (2020-23) in the Valparai Plateau and Anamalai Tiger Reserve, Western Ghats, India, Bengal Tiger (Panthera tigris) Sighting based on Photographs from Facebook in India)",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris",
 "Year 2010-2022"
 ]
}

 The dataset includes 3681 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006327-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1412360.10fu
title: SH1412360.10FU

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/sh1412363.10fu
title: SH1412363.10FU

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/sh1412364.10fu
title: SH1412364.10FU

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/sh1412365.10fu
title: SH1412365.10FU

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/sh1412366.10fu
title: SH1412366.10FU

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/sh1412368.10fu
title: SH1412368.10FU

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.gkehvw
title: Occurrence Download

description: A dataset containing 4202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.69108 48.14803,-122.09774 48.14803,-122.09774 51.29823,-126.69108 51.29823,-126.69108 48.14803))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nereocystis luetkeana",
 "Year 2014-2025"
 ]
}

 The dataset includes 4202 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086197-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqavxs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguillicoloides crassus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086198-250717081556266/datasets/export for details.
DOI: 10.15468/dl.9dpz6y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguillicoloides crassus",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086199-250717081556266/datasets/export for details.
DOI: 10.5517/cc9lh7l
title: CCDC 285889: Experimental Crystal Structure Determination

description: Related Article: B.Frackowiak, K.Ochalik, A.Bialonska, Z.Ciunik, C.Wawrzenczyk, S.Lochynski|2006|Tetrahedron:Asymm.|17|124|doi:10.1016/j.tetasy.2005.11.025
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/cc9lh8m
title: CCDC 285890: Experimental Crystal Structure Determination

description: Related Article: B.Frackowiak, K.Ochalik, A.Bialonska, Z.Ciunik, C.Wawrzenczyk, S.Lochynski|2006|Tetrahedron:Asymm.|17|124|doi:10.1016/j.tetasy.2005.11.025
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/cc8qzrp
title: CCDC 260423: Experimental Crystal Structure Determination

description: Related Article: D.Pettersen, P.Ahlberg|2005|Tetrahedron:Asymm.|16|2075|doi:10.1016/j.tetasy.2005.04.030
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/cc90grh
title: CCDC 268576: Experimental Crystal Structure Determination

description: Related Article: M.Calmes, C.Didierjean, J.Martinez, O.Songis|2005|Tetrahedron:Asymm.|16|2173|doi:10.1016/j.tetasy.2005.05.024
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/cc4n9qs
title: CCDC 138685: Experimental Crystal Structure Determination

description: Related Article: Yan Xu, Dunru zhu, You Song, Xuefang Zheng, Xiaozeng You|2006|J.Mol.Struct.|782|165|doi:10.1016/j.molstruc.2005.08.010
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/cc966rf
title: CCDC 274094: Experimental Crystal Structure Determination

description: Related Article: Ying Xu, Zhi-Gang Ren, Hong-Xi Li, Wen-Hua Zhang, Jin-Xiang Chen, Yong Zhang, Jian-Ping Lang|2006|J.Mol.Struct.|782|150|doi:10.1016/j.molstruc.2005.07.028
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/cc966sg
title: CCDC 274095: Experimental Crystal Structure Determination

description: Related Article: Ying Xu, Zhi-Gang Ren, Hong-Xi Li, Wen-Hua Zhang, Jin-Xiang Chen, Yong Zhang, Jian-Ping Lang|2006|J.Mol.Struct.|782|150|doi:10.1016/j.molstruc.2005.07.028
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/cc9c0g3
title: CCDC 278704: Experimental Crystal Structure Determination

description: Related Article: L.Wojtas, P.Milart, K.Stadnicka|2006|J.Mol.Struct.|782|157|doi:10.1016/j.molstruc.2005.08.007
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/cc9c0h4
title: CCDC 278705: Experimental Crystal Structure Determination

description: Related Article: L.Wojtas, P.Milart, K.Stadnicka|2006|J.Mol.Struct.|782|157|doi:10.1016/j.molstruc.2005.08.007
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/cc9c0j5
title: CCDC 278706: Experimental Crystal Structure Determination

description: Related Article: L.Wojtas, P.Milart, K.Stadnicka|2006|J.Mol.Struct.|782|157|doi:10.1016/j.molstruc.2005.08.007
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/cc9b5b3
title: CCDC 277894: Experimental Crystal Structure Determination

description: Related Article: Chang-Yan Sun, Lin-Pei Jin|2006|J.Mol.Struct.|782|171|doi:10.1016/j.molstruc.2005.08.015
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.