cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cctj77s
title: CCDC 760375: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctj99x
title: CCDC 760439: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctgjj9
title: CCDC 758741: Experimental Crystal Structure Determination

description: Related Article: J.C.Song, E.R.T.Tiekink|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m1667|doi:10.1107/S1600536809049678
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/cctj5n4
title: CCDC 760326: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctj5p5
title: CCDC 760327: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctj6r8
title: CCDC 760360: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctj7n6
title: CCDC 760388: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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: 10.6084/m9.figshare.30400276
title: Ecological Momentary Assessment Data for Project Titled: "Temporal associations between social contacts and activities of daily living, pain and mood in women living with HIV: An ecological momentary assessment study"

description: This dataset comprises ecological momentary assessment (EMA) data collected from 40 women living with HIV (WLWH) experiencing persistent pain. Participants were recruited from three HIV clinics in London, with most identifying as Black African and an average age of 55.98 years. Each participant completed brief smartphone-based surveys three times daily over 14 consecutive days, capturing momentary experiences of pain intensity, pain interference, distress, and social contact (frequency and quality).The dataset was designed to explore within-person, time-sensitive associations between social contact variables and subsequent pain and distress outcomes, reflecting a biopsychosocial model of pain. Although no consistent associations were found, the data demonstrate the feasibility and acceptability of EMA methods in this population, with strong recruitment, response, and retention rates.This dataset provides a valuable resource for researchers interested in:Pain and psychosocial processes among women living with HIVTemporal and contextual influences on symptom experienceMethodological applications of EMA in chronic pain and health psychologyAll data were anonymised and analysed using multilevel modelling to account for within- and between-person variability.
DOI: 10.6084/m9.figshare.30400276.v1
title: Ecological Momentary Assessment Data for Project Titled: "Temporal associations between social contacts and activities of daily living, pain and mood in women living with HIV: An ecological momentary assessment study"

description: This dataset comprises ecological momentary assessment (EMA) data collected from 40 women living with HIV (WLWH) experiencing persistent pain. Participants were recruited from three HIV clinics in London, with most identifying as Black African and an average age of 55.98 years. Each participant completed brief smartphone-based surveys three times daily over 14 consecutive days, capturing momentary experiences of pain intensity, pain interference, distress, and social contact (frequency and quality).The dataset was designed to explore within-person, time-sensitive associations between social contact variables and subsequent pain and distress outcomes, reflecting a biopsychosocial model of pain. Although no consistent associations were found, the data demonstrate the feasibility and acceptability of EMA methods in this population, with strong recruitment, response, and retention rates.This dataset provides a valuable resource for researchers interested in:Pain and psychosocial processes among women living with HIVTemporal and contextual influences on symptom experienceMethodological applications of EMA in chronic pain and health psychologyAll data were anonymised and analysed using multilevel modelling to account for within- and between-person variability.
DOI: 10.5517/cctj6xf
title: CCDC 760365: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cctj7p7
title: CCDC 760389: Experimental Crystal Structure Determination

description: Related Article: R.E.Marsh|2009|Acta Crystallogr.,Sect.B:Struct.Sci.|65|782|doi:10.1107/S0108768109046448
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/cc8rxrn
title: CCDC 261322: Experimental Crystal Structure Determination

description: Related Article: Min-Tsang Hsieh, Ho-Hsuan Chou, Hsing-Jang Liu, Huang-Min Wu, Tai Wei Ly, Yen-Ku Wu, Kak-Shan Shia|2009|Org.Lett.|11|1673|doi:10.1021/ol802878t
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/ccs4243
title: CCDC 718894: Experimental Crystal Structure Determination

description: Related Article: H.Ueki, V.A.Soloshonok|2009|Org.Lett.|11|1797|doi:10.1021/ol900357d
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/ccrnnz0
title: CCDC 705063: Experimental Crystal Structure Determination

description: Related Article: P.B.Kraikivskii, M.Frey, H.A.Bennour, A.Gembus, R.Hauptmann, I.Svoboda, H.Fuess, V.V.Saraev, H.-F.Klein|2009|J.Organomet.Chem.|694|1869|doi:10.1016/j.jorganchem.2009.01.023
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/ccrv9sn
title: CCDC 710482: Experimental Crystal Structure Determination

description: Related Article: Chi Minh Tuong, W.K.Hammons, A.L.Howarth, K.E.Lutz, A.D.Maduvu, L.B.Haysley, B.R.T.Allred, L.K.Hoyt, M.S.Mashuta, M.E.Noble|2009|Inorg.Chem.|48|5027|doi:10.1021/ic9002093
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: 10.13140/rg.2.2.14621.44004
title: what happened to afghan national army
DOI: 10.5517/ccs3534
title: CCDC 718025: Experimental Crystal Structure Determination

description: Related Article: C.Ramstadius, O.Hekmat, L.Eriksson, H.Stalbrand, I.Cumpstey|2009|Tetrahedron:Asymm.|20|795|doi:10.1016/j.tetasy.2009.02.016
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.17397811
title: Statistical data set of Uzbek text samples
DOI: 10.5517/ccrkq66
title: CCDC 702218: Experimental Crystal Structure Determination

description: Related Article: Guangke He, Hao Guo, Rong Qian, Yinlong Guo, Chunling Fu, Shengming Ma|2009|Tetrahedron|65|4877|doi:10.1016/j.tet.2009.04.023
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/ccs6yjf
title: CCDC 721665: Experimental Crystal Structure Determination

description: Related Article: G.T.Giuffredi, S.Purser, M.Sawicki, A.L.Thompson, V.Gouverneur|2009|Tetrahedron:Asymm.|20|910|doi:10.1016/j.tetasy.2009.03.001
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/ccsv3xm
title: CCDC 740091: Experimental Crystal Structure Determination

description: Related Article: Jie-Peng Zhang, Xiao-Ming Chen|2009|J.Am.Chem.Soc.|131|5516|doi:10.1021/ja8089872
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/ccsv3yn
title: CCDC 740092: Experimental Crystal Structure Determination

description: Related Article: Jie-Peng Zhang, Xiao-Ming Chen|2009|J.Am.Chem.Soc.|131|5516|doi:10.1021/ja8089872
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/sh0195243.10fu
title: SH0195243.10FU

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/sh0195244.10fu
title: SH0195244.10FU

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/sh0195245.10fu
title: SH0195245.10FU

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/sh0195246.10fu
title: SH0195246.10FU

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/sh0195247.10fu
title: SH0195247.10FU

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/sh0195248.10fu
title: SH0195248.10FU

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/sh0195249.10fu
title: SH0195249.10FU

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/sh0195250.10fu
title: SH0195250.10FU

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/sh0195251.10fu
title: SH0195251.10FU

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.