cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc8vjh3
title: CCDC 263825: Experimental Crystal Structure Determination

description: Related Article: G.Mehta, S.Sen, S.S.Ramesh|2005|CrystEngComm|7|563|doi:10.1039/b508701e
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.7mnb4q
title: Occurrence Download

description: A dataset containing 493826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplopoda"
 ]
}

 The dataset includes 493826 records from 1249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024256-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w78c4f
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Heterodonty in Tyrannosaurus rex: Implications for the taxonomic and systematic utility of theropod dentitions"
 ]
}

 The dataset includes 143 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012183-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xft3tt
title: Occurrence Download

description: A dataset containing 985804879 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 985804879 records from 19806 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036904-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbs549
title: Occurrence Download

description: A dataset containing 8544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lechea Kalm ex L."
 ]
}

 The dataset includes 8544 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/omw7yl
title: Refugees

description: Refugees in Germany and Turkey
DOI: 10.15156/bio/sh1398273.10fu
title: SH1398273.10FU

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/sh1398274.10fu
title: SH1398274.10FU

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/sh1398276.10fu
title: SH1398276.10FU

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/sh1398278.10fu
title: SH1398278.10FU

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/sh1398279.10fu
title: SH1398279.10FU

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/sh1398280.10fu
title: SH1398280.10FU

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/sh1398283.10fu
title: SH1398283.10FU

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/sh1398286.10fu
title: SH1398286.10FU

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/sh1398287.10fu
title: SH1398287.10FU

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.18623587
title: System Shutdown in Agent-Based Cyber-Phyiscal Energy Systems: Data

description: This dataset contains exchanged messages of an agent-based control use case in cyber-physical energy systems. The agents perform unit control, given a target schedule from an operator.

In addition to data with no attacks occurring, this dataset contains two versions of a cyber attack, in which a system shutdown is happening. Over time, more and more units are shut down, from 0% up to 50%.

The first type of attack, once a system is shut down, it is not able to send any more messages. This is depicted as "attack no communication". During the second attack, the system that is shut down only sends zero values to other agents. This variant is displayed as "attack zero values".

Overall, three types of agent sizes are given: 50 agents, 100 agents, and 150 agents. For each of the network sizes, normal data and data for both attack variants are provided.
DOI: 10.5281/zenodo.18623941
title: System Shutdown in Agent-Based Cyber-Phyiscal Energy Systems: Data

description: This dataset contains exchanged messages of an agent-based control use case in cyber-physical energy systems. The agents perform unit control, given a target schedule from an operator.

In addition to data with no attacks occurring, this dataset contains two versions of a cyber attack, in which a system shutdown is happening. Over time, more and more units are shut down, from 0% up to 50%.

The first type of attack, once a system is shut down, it is not able to send any more messages. This is depicted as "attack no communication". During the second attack, the system that is shut down only sends zero values to other agents. This variant is displayed as "attack zero values".

Overall, three types of agent sizes are given: 50 agents, 100 agents, and 150 agents. For each of the network sizes, normal data and data for both attack variants are provided.
DOI: 10.5517/cc4gqt3
title: CCDC 133325: Experimental Crystal Structure Determination

description: Related Article: M.P.R.Spee, B.Ader, P.Steenwinkel, H.Kooijman, A.L.Spek, G.van Koten|2000|J.Organomet.Chem.|598|24|doi:10.1016/S0022-328X(99)00665-8
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/cc3ykk4
title: CCDC 117786: Experimental Crystal Structure Determination

description: Related Article: U.Englich, S.Graschy, E.Hengge, U.Hermann, C.Marschner, C.Mechtler, E.Pinter, K.Ruhlandt-Senge, F.Uhlig|2000|J.Organomet.Chem.|598|202|doi:10.1016/S0022-328X(99)00702-0
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/cc4frjt
title: CCDC 132386: Experimental Crystal Structure Determination

description: Related Article: D.Dakternieks, J.O'Connell, E.R.T.Tiekink|2000|J.Organomet.Chem.|598|49|doi:10.1016/S0022-328X(99)00669-5
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/cc4frkv
title: CCDC 132387: Experimental Crystal Structure Determination

description: Related Article: D.Dakternieks, J.O'Connell, E.R.T.Tiekink|2000|J.Organomet.Chem.|598|49|doi:10.1016/S0022-328X(99)00669-5
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/cc494bw
title: CCDC 127947: Experimental Crystal Structure Determination

description: Related Article: C.Lopez, A.Caubet, X.Solans, M.Font-Bardia|2000|J.Organomet.Chem.|598|87|doi:10.1016/S0022-328X(99)00682-8
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/cc4frlw
title: CCDC 132388: Experimental Crystal Structure Determination

description: Related Article: D.Dakternieks, J.O'Connell, E.R.T.Tiekink|2000|J.Organomet.Chem.|598|49|doi:10.1016/S0022-328X(99)00669-5
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/cc494cx
title: CCDC 127948: Experimental Crystal Structure Determination

description: Related Article: C.Lopez, A.Caubet, X.Solans, M.Font-Bardia|2000|J.Organomet.Chem.|598|87|doi:10.1016/S0022-328X(99)00682-8
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/cc494dy
title: CCDC 127949: Experimental Crystal Structure Determination

description: Related Article: C.Lopez, A.Caubet, X.Solans, M.Font-Bardia|2000|J.Organomet.Chem.|598|87|doi:10.1016/S0022-328X(99)00682-8
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/cc494fz
title: CCDC 127950: Experimental Crystal Structure Determination

description: Related Article: C.Lopez, A.Caubet, X.Solans, M.Font-Bardia|2000|J.Organomet.Chem.|598|87|doi:10.1016/S0022-328X(99)00682-8
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/cc4lcjl
title: CCDC 136819: Experimental Crystal Structure Determination

description: Related Article: Ching-Chao Yang, Wen-Yann Yeh, Gene-Hsiang Lee, Shie-Ming Peng|2000|J.Organomet.Chem.|598|353|doi:10.1016/S0022-328X(99)00734-2
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/cc4lcgj
title: CCDC 136817: Experimental Crystal Structure Determination

description: Related Article: Ching-Chao Yang, Wen-Yann Yeh, Gene-Hsiang Lee, Shie-Ming Peng|2000|J.Organomet.Chem.|598|353|doi:10.1016/S0022-328X(99)00734-2
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/cc4lchk
title: CCDC 136818: Experimental Crystal Structure Determination

description: Related Article: Ching-Chao Yang, Wen-Yann Yeh, Gene-Hsiang Lee, Shie-Ming Peng|2000|J.Organomet.Chem.|598|353|doi:10.1016/S0022-328X(99)00734-2
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/cc4v469
title: CCDC 144280: Experimental Crystal Structure Determination

description: Related Article: F.Neve, A.Crispini, O.Francescangeli|2000|Inorg.Chem.|39|1187|doi:10.1021/ic9906959
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: 10.7910/dvn/ay7dfk
title: Replication Data for: 'From Public Labs to Private Firms: Magnitude and Channels of Local R&D Spillovers'

description: The data and programs replicate tables and figures from "From Public Labs to Private Firms: Magnitude and Channels of Local R&D Spillovers," by Bergeaud, Guillouzouic, Henry, and Malgouyres. Please see the readme file for additional details.
DOI: 10.5517/cc4v47b
title: CCDC 144281: Experimental Crystal Structure Determination

description: Related Article: F.Neve, A.Crispini, O.Francescangeli|2000|Inorg.Chem.|39|1187|doi:10.1021/ic9906959
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.