cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc4p789
title: CCDC 139570: Experimental Crystal Structure Determination

description: Related Article: O.Ya.Borbulevych, M.Yu.Antipin, L.P.Olekhnovich|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2177|doi:10.1107/S010827019901241X
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/cc4pcz4
title: CCDC 139716: Experimental Crystal Structure Determination

description: Related Article: C.H.Gorbitz|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2171|doi:10.1107/S0108270199011415
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/cc4p8xz
title: CCDC 139621: Experimental Crystal Structure Determination

description: Related Article: S.S.S.Raj, S.Renganayaki, E.Subramanian, H.-K.Fun|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2182|doi:10.1107/S0108270199011749
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/cc4pc9g
title: CCDC 139695: Experimental Crystal Structure Determination

description: Related Article: I.Stahl, I.Schomberg, G.Frenzen|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2179|doi:10.1107/S010827019901135X
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: 10.5281/zenodo.17313452
title: EEG-Based Imagined-Speech Decoding: A Review

description: Non-invasive neural speech interfaces aim to reconstruct intended words directly from brain activity, providing vital communication channels for individuals with severe dysarthria or locked-in syndrome. Among various modalities, electroencephalography (EEG) remains the most accessible and cost-effective option. Nevertheless, decoding imagined speech from EEG signals remains challenging due to their inherently low signal-to-noise ratio, pronounced inter-subject variability, and the limited size and heterogeneity of available corpora. This review synthesises peer-reviewed studies on EEG-based imagined-speech recognition, encompassing preprocessing pipelines, feature extraction strategies, and deep learning-based decoding methods. Unlike earlier surveys that emphasised isolated algorithmic aspects, this review offers a comprehensive perspective across the entire decoding pipeline from neural acquisition and signal conditioning to representation learning and evaluation. Persistent gaps include inconsistent evaluation protocols, restricted vocabularies, and limited generalisation across subjects. Furthermore, the review summarises key findings and proposes a set of practical recommendations to guide reproducible progress in the field. Finally, it highlights the principal technical challenges of deep-learning-based imagined-speech decoding and outlines promising future research directions.
DOI: 10.5517/cc4p8y0
title: CCDC 139622: Experimental Crystal Structure Determination

description: Related Article: S.S.S.Raj, S.Renganayaki, E.Subramanian, H.-K.Fun|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2182|doi:10.1107/S0108270199011749
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/cc4pcms
title: CCDC 139705: Experimental Crystal Structure Determination

description: Related Article: C.Handrosch, F.W.Heinemann, H.Kisch|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2184|doi:10.1107/S0108270199011919
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/cc4pdz5
title: CCDC 139747: Experimental Crystal Structure Determination

description: Related Article: M.Mukherjee, S.Maiti, M.W.Khan, M.Helliwell, N.G.Kundu|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2186|doi:10.1107/S0108270199011865
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/cc4pc49
title: CCDC 139690: Experimental Crystal Structure Determination

description: Related Article: T.J.Hubin, N.W.Alcock, D.H.Busch|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2188|doi:10.1107/S0108270199011038
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/cc4p8hk
title: CCDC 139608: Experimental Crystal Structure Determination

description: Related Article: Yongkwan Dong, Hoseop Yun, Jang-Min Suh, Young-Gil Ahn, Hyun-Joon Ha|1999|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|55|2088|doi:10.1107/S0108270199011373
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: 10.5281/zenodo.17313451
title: EEG-Based Imagined-Speech Decoding: A Review

description: Non-invasive neural speech interfaces aim to reconstruct intended words directly from brain activity, providing vital communication channels for individuals with severe dysarthria or locked-in syndrome. Among various modalities, electroencephalography (EEG) remains the most accessible and cost-effective option. Nevertheless, decoding imagined speech from EEG signals remains challenging due to their inherently low signal-to-noise ratio, pronounced inter-subject variability, and the limited size and heterogeneity of available corpora. This review synthesises peer-reviewed studies on EEG-based imagined-speech recognition, encompassing preprocessing pipelines, feature extraction strategies, and deep learning-based decoding methods. Unlike earlier surveys that emphasised isolated algorithmic aspects, this review offers a comprehensive perspective across the entire decoding pipeline from neural acquisition and signal conditioning to representation learning and evaluation. Persistent gaps include inconsistent evaluation protocols, restricted vocabularies, and limited generalisation across subjects. Furthermore, the review summarises key findings and proposes a set of practical recommendations to guide reproducible progress in the field. Finally, it highlights the principal technical challenges of deep-learning-based imagined-speech decoding and outlines promising future research directions.
DOI: 10.5517/cc472w9
title: CCDC 125980: Experimental Crystal Structure Determination

description: Related Article: C.Policar, F.Lambert, M.Cesario, I.Morgenstern-Badarau|1999|Eur.J.Inorg.Chem.|1999|2201|doi:10.1002/(SICI)1099-0682(199912)1999:12<2201::AID-EJIC2201>3.0.CO;2-K
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/cc4jg14
title: CCDC 134975: Experimental Crystal Structure Determination

description: Related Article: L.Weber, S.Uthmann, H.-G.Stammler, B.Neumann, W.W.Schoeller, R.Boese, D.Blaser|1999|Eur.J.Inorg.Chem.|1999|2369|doi:10.1002/(SICI)1099-0682(199912)1999:12<2369::AID-EJIC2369>3.3.CO;2-J
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/cc4jljr
title: CCDC 135114: Experimental Crystal Structure Determination

description: Related Article: L.Weber, S.Uthmann, H.-G.Stammler, B.Neumann, W.W.Schoeller, R.Boese, D.Blaser|1999|Eur.J.Inorg.Chem.|1999|2369|doi:10.1002/(SICI)1099-0682(199912)1999:12<2369::AID-EJIC2369>3.3.CO;2-J
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/cc4jg25
title: CCDC 134976: Experimental Crystal Structure Determination

description: Related Article: L.Weber, S.Uthmann, H.-G.Stammler, B.Neumann, W.W.Schoeller, R.Boese, D.Blaser|1999|Eur.J.Inorg.Chem.|1999|2369|doi:10.1002/(SICI)1099-0682(199912)1999:12<2369::AID-EJIC2369>3.3.CO;2-J
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/cc4jg36
title: CCDC 134977: Experimental Crystal Structure Determination

description: Related Article: L.Weber, S.Uthmann, H.-G.Stammler, B.Neumann, W.W.Schoeller, R.Boese, D.Blaser|1999|Eur.J.Inorg.Chem.|1999|2369|doi:10.1002/(SICI)1099-0682(199912)1999:12<2369::AID-EJIC2369>3.3.CO;2-J
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/cc4jg47
title: CCDC 134978: Experimental Crystal Structure Determination

description: Related Article: L.Weber, S.Uthmann, H.-G.Stammler, B.Neumann, W.W.Schoeller, R.Boese, D.Blaser|1999|Eur.J.Inorg.Chem.|1999|2369|doi:10.1002/(SICI)1099-0682(199912)1999:12<2369::AID-EJIC2369>3.3.CO;2-J
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: 10.60893/figshare.pof.30193999
title: Supplementary Material

description: Parameters of potential function; Determination of initial gas density settings; Robustness of MD Simulation Results; Centroid positions of nanobubbles at different mole fractions; Verification of the origin of the columnar structure; Electrostriction force distributions under reduced dielectric constants
DOI: 10.60893/figshare.pof.30193999.v1
title: Supplementary Material

description: Parameters of potential function; Determination of initial gas density settings; Robustness of MD Simulation Results; Centroid positions of nanobubbles at different mole fractions; Verification of the origin of the columnar structure; Electrostriction force distributions under reduced dielectric constants
DOI: 10.15468/dl.iac0zl
title: Occurrence Download

description: A dataset containing 1330706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Australian Museum provider for OZCAM"
 ]
}

 The dataset includes 1330706 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027257-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.novrtk
title: Occurrence Download

description: A dataset containing 2411081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Falco sparverius Linnaeus, 1758"
 ]
}

 The dataset includes 2411081 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027258-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1142873.10fu
title: SH1142873.10FU

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: 10.3886/e243036
title: VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths

description: NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see "Technical Notes" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov.

SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.
Read less
description: (Downloaded 1/9/2026)
DOI: 10.15156/bio/sh1142876.10fu
title: SH1142876.10FU

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/sh1142878.10fu
title: SH1142878.10FU

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/sh1142879.10fu
title: SH1142879.10FU

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: 10.3886/e243036v1
title: VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths

description: NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see "Technical Notes" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov.

SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.
Read less
description: (Downloaded 1/9/2026)
DOI: 10.15156/bio/sh1142880.10fu
title: SH1142880.10FU

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: 10.3886/e243009v1
title: Cryptoauditors (Specialized Auditing Firms in Decentralized Finance)

description: The Cryptoauditors dataset systematically catalogs entities providing security auditing and advisory services for blockchain and crypto systems. The dataset was hand-coded using publicly available information sourced from platform directories (e.g., Alchemy Dapp lists), official company websites, LinkedIn profiles, GitHub biographies, interviews, audit reports, and exploratory tools (including ChatGPT v. 5.2 for assisting extraction and verification). The dataset captures multiple dimensions of cryptoauditing firms, including services offered, team composition, and technical specialization.
description: web-based survey;