cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc8y2z7
title: CCDC 266289: Experimental Crystal Structure Determination

description: Related Article: S.Ogo, H.Nishida, H.Hayashi, Y.Murata, S.Fukuzumi|2005|Organometallics|24|4816|doi:10.1021/om0504147
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/cc8wf4p
title: CCDC 264682: Experimental Crystal Structure Determination

description: Related Article: S.D.Drouin, S.Monfette, D.Amoroso, G.P.A.Yap, D.E.Fogg|2005|Organometallics|24|4721|doi:10.1021/om050195p
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/cc8wcdw
title: CCDC 264628: Experimental Crystal Structure Determination

description: Related Article: Junsheng Hao, Xuehong Wei, Shuping Huang, Jianping Guo, Diansheng Liu|2005|Appl.Organomet.Chem.|19|1010|doi:10.1002/aoc.950
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/cc8wcfx
title: CCDC 264629: Experimental Crystal Structure Determination

description: Related Article: Junsheng Hao, Xuehong Wei, Shuping Huang, Jianping Guo, Diansheng Liu|2005|Appl.Organomet.Chem.|19|1010|doi:10.1002/aoc.950
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/cc7dd00
title: CCDC 220441: Experimental Crystal Structure Determination

description: Related Article: LiChen, JianXin Chen, Lijuan Sun, Qinglan Xie|2005|Appl.Organomet.Chem.|19|1038|doi:10.1002/aoc.954
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/cc8wcgy
title: CCDC 264630: Experimental Crystal Structure Determination

description: Related Article: Junsheng Hao, Xuehong Wei, Shuping Huang, Jianping Guo, Diansheng Liu|2005|Appl.Organomet.Chem.|19|1010|doi:10.1002/aoc.950
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/cc7dd11
title: CCDC 220442: Experimental Crystal Structure Determination

description: Related Article: LiChen, JianXin Chen, Lijuan Sun, Qinglan Xie|2005|Appl.Organomet.Chem.|19|1038|doi:10.1002/aoc.954
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/cc8g4d7
title: CCDC 251918: Experimental Crystal Structure Determination

description: Related Article: Zhen-Kang Wen, Hai-Bin Song, Miao Du, Yu-Ping Zhai, Liang-Fu Tang|2005|Appl.Organomet.Chem.|19|1055|doi:10.1002/aoc.960
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/cc8ys43
title: CCDC 266945: Experimental Crystal Structure Determination

description: Related Article: Zhen-Kang Wen, Hai-Bin Song, Miao Du, Yu-Ping Zhai, Liang-Fu Tang|2005|Appl.Organomet.Chem.|19|1055|doi:10.1002/aoc.960
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/cc7m375
title: CCDC 226896: Experimental Crystal Structure Determination

description: Related Article: Yan-Pin Ren, La-Sheng Long, Rong-Bin Huang, Lan-Sun Zheng|2005|Appl.Organomet.Chem.|19|1070|doi:10.1002/aoc.735
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/cc8ys54
title: CCDC 266946: Experimental Crystal Structure Determination

description: Related Article: Zhen-Kang Wen, Hai-Bin Song, Miao Du, Yu-Ping Zhai, Liang-Fu Tang|2005|Appl.Organomet.Chem.|19|1055|doi:10.1002/aoc.960
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: 10.7802/2095
title: Data for: The Internal–External Locus of Control Short Scale–4 (IE-4): A Comprehensive Validation of the English-Language Adaptation
DOI: 10.7802/2096
title: Data for: An English-Language Adaptation and Validation of the Justice Sensitivity Short Scales–8 (JSS-8)
DOI: 10.7802/2097
title: Data for: The Impulsive Behavior Short Scale–8 (I-8): A Comprehensive Validation of the English-Language Adaptation
DOI: 10.7802/2098
title: Data for: The Optimism–Pessimism Short Scale–2 (SOP2): A Comprehensive Validation of the English-Language Adaptation
DOI: 10.7802/2104
title: Religious Fundamentalism and Radicalization Survey
DOI: 10.15156/bio/sh1393691.10fu
title: SH1393691.10FU

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.17985668
title: Resisting Societal Bordering through Political Subjectivity

description: This paper analyses how societal and political borders perform processes of inclusion and exclusion. It does this in focusing on the process underlying the role categorizations play in migration narratives. These categorizations shape social and political outcomes, influencing migrants’ opportunities to belong to the national community and access fundamental rights. Migrants, already positioned as outsiders, are often negatively categorized when portrayed as failing to meet normative expectations. Using the case of Aboubakar Soumahoro, the paper examines how migrant activism seeks to re-signify these categories, challenging dominant external representations. Such challenges can empower migrants by granting social and political visibility – a prerequisite for influencing migration discourse. However, they also risk reinforcing perceptions of migrants as lacking integration resources. From a democratic perspective, contesting exclusionary narratives may deepen marginalization, yet remains essential for addressing democratic injustices. This analysis highlights the ambivalent dynamics of categorization and the transformative potential of migrant political subjectivity.
DOI: 10.7802/2105
title: 4. World Vision Kinderstudie 2018
DOI: 10.7802/2106
title: Shell Jugendstudie 2019 (Kumulation 2002, 2006, 2010, 2015, 2019)
DOI: 10.7802/2109
title: Replication Files: “Kärnten”=Austria, “Koroška”=Yugoslavia?
DOI: 10.15156/bio/sh1393694.10fu
title: SH1393694.10FU

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.17985666
title: Resisting Societal Bordering through Political Subjectivity

description: This paper analyses how societal and political borders perform processes of inclusion and exclusion. It does this in focusing on the process underlying the role categorizations play in migration narratives. These categorizations shape social and political outcomes, influencing migrants’ opportunities to belong to the national community and access fundamental rights. Migrants, already positioned as outsiders, are often negatively categorized when portrayed as failing to meet normative expectations. Using the case of Aboubakar Soumahoro, the paper examines how migrant activism seeks to re-signify these categories, challenging dominant external representations. Such challenges can empower migrants by granting social and political visibility – a prerequisite for influencing migration discourse. However, they also risk reinforcing perceptions of migrants as lacking integration resources. From a democratic perspective, contesting exclusionary narratives may deepen marginalization, yet remains essential for addressing democratic injustices. This analysis highlights the ambivalent dynamics of categorization and the transformative potential of migrant political subjectivity.
DOI: 10.7802/2116
title: COVID-19 and Social Inequality - April 2020
DOI: 10.7802/2117
title: The Privacy Longitudinal Study
DOI: 10.15156/bio/sh1393698.10fu
title: SH1393698.10FU

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: 10.7802/2118
title: COVID-19 and Social Inequality - May 2020
DOI: 10.7802/2119
title: Differentiated Local Autonomy in Italy (2020)
DOI: 10.7802/2120
title: Soziales Nachhaltigkeitsbarometer der Energiewende
DOI: 10.15156/bio/sh1393704.10fu
title: SH1393704.10FU

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: 10.7802/2122
title: Corona-Alltag
DOI: 10.7802/2123
title: The impact of team preferences on soccer-offside judgments in laypersons
DOI: 10.7802/2124
title: Replication Data for: "Enforcement may crowd out voluntary support for Covid19 policies, especially where trust in government is weak and in a liberal society"
DOI: 10.7802/2125
title: Young Germany during COVID-19
DOI: 10.7802/2126
title: Occupational Panel on Tasks and Education (OPTE) for Western Germany from 1973 to 2011
DOI: 10.15156/bio/sh1393706.10fu
title: SH1393706.10FU

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: 10.7802/2127
title: Exploring the influence of testimonial source on attitudes towards and the acceptance of e-mental health interventions among university students
DOI: 10.7802/2128
title: Ungleichheit und direkte Demokratie Europa
DOI: 10.7802/2129
title: Ungleichheit und direkte Demokratie
DOI: 10.15156/bio/sh1393708.10fu
title: SH1393708.10FU

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: 10.7802/2134
title: SCAPE database on participatory and non-participatory environmental decision-making
DOI: 10.7802/2150
title: Replication Code: Wolf et al. (2021): Conducting General Social Surveys as Self-Administered Mixed-Mode Surveys
DOI: 10.7802/2155
title: The Sky is the Limit – Die zukünftige Nutzung des urbanen Luftraums
DOI: 10.7802/2156
title: Replication code: Struminskaya & Gummer (2021): Risk of Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel
DOI: 10.7802/2157
title: Media-Analyse: Pressemedien - Langfristdaten (Version 2.0)
DOI: 10.7802/2241
title: Interface Conflicts 1.0
DOI: 10.7802/2246
title: Familienleitbilder in Deutschland (FLB II) - Welle 2
DOI: 10.15156/bio/sh1393710.10fu
title: SH1393710.10FU

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: 10.7802/2247
title: KOMPAKK index of economic sectors closure during the first wave of COVID-19
DOI: 10.7802/2248
title: Hamburg-BUS 2019
DOI: 10.7802/2249
title: FLOORCASH-SocCit. The social citizenship dataset on social cash transfers in the global South
DOI: 10.15156/bio/sh1393711.10fu
title: SH1393711.10FU

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: 10.25549/browneg-ouc11399am2b
title: We the People with Jerry Brown, Charles Lewis, 1996-02-22

description: We the People with Jerry Brown, Charles Lewis, 1996-02-22. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.15468/dl.bdr6kw
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mustela lutreola",
 "Year 2000-2025"
 ]
}

 The dataset includes 926 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021227-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcm242
title: Occurrence Download

description: A dataset containing 235243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((37.25246 0.46087,37.98449 0.46607,37.98796 0.96913,37.26287 0.95351,37.25246 0.46087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 235243 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021123-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/browneg-ouc11399am27
title: We the People with Jerry Brown, Republican National Convention: Dole Speech + Callers, 1996-08-19

description: We the People with Jerry Brown, Republican National Convention: Dole Speech + Callers, 1996-08-19. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.