cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1kl7ky
title: CCDC 1447500: Experimental Crystal Structure Determination

description: Related Article: Qinghua Meng, Shuan Zhang|2016|Z.Kristallogr.-New Cryst.Struct.|231|427|doi:10.1515/ncrs-2015-0091
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/ccdc.csd.cc1kl7lz
title: CCDC 1447501: Experimental Crystal Structure Determination

description: Related Article: Gang Li, Wei-Min Zhou, Li-Chun Zhu, Li Wang|2016|Z.Kristallogr.-New Cryst.Struct.|231|315|doi:10.1515/ncrs-2015-0166
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/ccdc.csd.cc1kl7m0
title: CCDC 1447502: Experimental Crystal Structure Determination

description: Related Article: Jie Liu, Lijun Zhou, Chao Wang, Demin Liang, Zhiming Li, Yue Zou, Quanrui Wang, Andreas Goeke|2016|Chem.-Eur.J.|22|6258|doi:10.1002/chem.201600847
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/ccdc.csd.cc1kl7p2
title: CCDC 1447504: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl8q4
title: CCDC 1447536: Experimental Crystal Structure Determination

description: Related Article: Tarur Konikkaledom Dinesh, Namasivayam Palani, Sengottuvelan Balasubramanian|2016|Tetrahedron Lett.|57|1750|doi:10.1016/j.tetlet.2016.03.018
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/ccdc.csd.cc1kl7q3
title: CCDC 1447505: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7r4
title: CCDC 1447506: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7n1
title: CCDC 1447503: Experimental Crystal Structure Determination

description: Related Article: Assem Barakat, Hazem A. Ghabbour, Abdullah Mohammed Al-Majid, Mohamed M. Said, El Sayed H. El Tamany, Hoong-Kun Fun|2016|Z.Kristallogr.-New Cryst.Struct.|231|319|doi:10.1515/ncrs-2015-0167
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/ccdc.csd.cc1kl7s5
title: CCDC 1447507: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7t6
title: CCDC 1447508: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7v7
title: CCDC 1447509: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7w8
title: CCDC 1447510: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/ccdc.csd.cc1kl7x9
title: CCDC 1447511: Experimental Crystal Structure Determination

description: Related Article: Jacqueline Plotzitzka and Christian Kleeberg|2016|Inorg.Chem.|55|4813|doi:10.1021/acs.inorgchem.6b00210
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/cc1kl7yb
title: CCDC 1447512: Experimental Crystal Structure Determination

description: Related Article: S. Kumar, Chandra, A.A. Hosamani, M. Mahendra, B.H. Doreswamy|2016|IUCrData|1|x160084|doi:10.1107/S2414314616000845
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/ccdc.csd.cc1kl9k0
title: CCDC 1447562: Experimental Crystal Structure Determination

description: Related Article: Xiaoni Qu, Lianjie Zhai, Bozhou Wang, Qing Wei, Gang Xie, Sanping Chen, Shengli Gao|2016|Dalton Trans.|45|17304|doi:10.1039/C6DT03631G
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/ccdc.csd.cc1jzgcb
title: CCDC 1429452: Experimental Crystal Structure Determination

description: Related Article: Shigeyuki Yamada, Shun Yamaguchi, Osamu Tsutsumi|2017|J.Mater.Chem.C|5|7977|doi:10.1039/C7TC00728K
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/ccdc.csd.cc1k5x2q
title: CCDC 1435643: Experimental Crystal Structure Determination

description: Related Article: Shigeyuki Yamada, Shun Yamaguchi, Osamu Tsutsumi|2017|J.Mater.Chem.C|5|7977|doi:10.1039/C7TC00728K
description: Related Article: Arruri Sathyanarayana, Shin-ya Nakamura, Kyohei Hisano, Osamu Tsutsumi, Katam Srinivas, Ganesan Prabusankar|2018|Sci.China.Chem.|61|957|doi:10.1007/s11426-018-9318-9
description: Related Article: Yuki Kuroda, Shin-ya Nakamura, Katam Srinivas, Arruri Sathyanarayana, Ganesan Prabusankar, Kyohei Hisano, Osamu Tsutsumi|2019|Crystals|9|227|doi:10.3390/cryst9050227
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: 10.82555/mk6h7-hmz38
title: JEFF-3.1 Evaluated Data: spontaneous fission product yields data

description: The JEFF-3.1 library was released with spontaneous fission of Cm-242, Cm-244 and Cf-252. The data represent a development of the UKFY3 file described in the PhD thesis of R.W. Mills, which was itself developed from earlier UK evaluations described in AEAT reports AEA-TRS-1015 (1991), AEA-TRS-1018 (1991) and AEA-TRS-1019 (1991).
DOI: 10.82555/pmwzt-00r77
title: JEFF-3.1 Evaluated Data: spontaneous fission product yields data

description: The JEFF-3.1 library was released with spontaneous fission of Cm-242, Cm-244 and Cf-252. The data represent a development of the UKFY3 file described in the PhD thesis of R.W. Mills, which was itself developed from earlier UK evaluations described in AEAT reports AEA-TRS-1015 (1991), AEA-TRS-1018 (1991) and AEA-TRS-1019 (1991).
DOI: 10.15468/dl.dbyp63
title: Occurrence Download

description: A dataset listing the 1690 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.21.3_2)",
 "Year 2015-2025"
 ]
 }
 ]
}

 The dataset's 1690 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058715-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmhsxs
title: Occurrence Download

description: A dataset containing 2416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hipposideros armiger (Hodgson, 1835)"
 ]
}

 The dataset includes 2416 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020663-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28784801
title: Research Analysis on ChatGPT: Exploring the Ethical Issues of an Emerging Pedagogical Technology

description: <br>The research article discusses how the ethical issues when using generative conversational artificial intelligence systems about ChatGPT. Establishing an IT/IS approach to spread an ethical review of the new technologies aboput ChatGPT are intended for a better systematic review about the advantages and possible problems about ChatGPT and AI per say. This approach integrates ethical issues identified through proactive techniques. Ethical issues in new ICT applications, including ethics, ethical impact assessment and specific aspects of AI. Used to analyze the human text generation and interaction capabilities of ChatGPT. Also, the resarch analysis shows that ChatGPT can provide high levels of social and ethical benefits. But so does raises serious ethical concerns about social justice, individual autonomy, cultural identity, and environmental issues. Mental problems is one of the key issues with high impact include accountability, inclusion, social cohesion, autonomy, security, prejudice, responsibility and environmental impact. Although the current discussion focuses only on specific issues. This review consistently highlights a broader and more balanced range of ethical issues that, in the author's view, require attention. These findings are consistent with emerging research and industry priorities regarding the generative ethics of artificial intelligence. This includes the need to engage a variety of stakeholders and consider benefits and risks holistically. Participates in application development and multi-level policy interventions to achieve positive outcomes. Typical, The analysis shows that using established ethical engineering methods can lead to rigorous measurements. A comprehensive framework to guide discussion and action on new, impactful technologies such as ChatGPT. This article proposes to maintain this broad and balanced ethical perspective as use cases are developed to realize the benefits. <br>
DOI: 10.6084/m9.figshare.28784801.v1
title: Research Analysis on ChatGPT: Exploring the Ethical Issues of an Emerging Pedagogical Technology

description: <br>The research article discusses how the ethical issues when using generative conversational artificial intelligence systems about ChatGPT. Establishing an IT/IS approach to spread an ethical review of the new technologies aboput ChatGPT are intended for a better systematic review about the advantages and possible problems about ChatGPT and AI per say. This approach integrates ethical issues identified through proactive techniques. Ethical issues in new ICT applications, including ethics, ethical impact assessment and specific aspects of AI. Used to analyze the human text generation and interaction capabilities of ChatGPT. Also, the resarch analysis shows that ChatGPT can provide high levels of social and ethical benefits. But so does raises serious ethical concerns about social justice, individual autonomy, cultural identity, and environmental issues. Mental problems is one of the key issues with high impact include accountability, inclusion, social cohesion, autonomy, security, prejudice, responsibility and environmental impact. Although the current discussion focuses only on specific issues. This review consistently highlights a broader and more balanced range of ethical issues that, in the author's view, require attention. These findings are consistent with emerging research and industry priorities regarding the generative ethics of artificial intelligence. This includes the need to engage a variety of stakeholders and consider benefits and risks holistically. Participates in application development and multi-level policy interventions to achieve positive outcomes. Typical, The analysis shows that using established ethical engineering methods can lead to rigorous measurements. A comprehensive framework to guide discussion and action on new, impactful technologies such as ChatGPT. This article proposes to maintain this broad and balanced ethical perspective as use cases are developed to realize the benefits. <br>
DOI: 10.15468/dl.5cxttk
title: Occurrence Download

description: A dataset containing 120166 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas des poissons d'eau douce de France métropolitaine (2001)"
 ]
}

 The dataset includes 120166 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020659-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive2388.20251217.10
title: Sediminihabitans luteus Hamada et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2389.20241212.9.2
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070652.10fu
title: SH0070652.10FU

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: 10.13145/bacdive2389.20251217.10
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2390.20241212.9.2
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070653.10fu
title: SH0070653.10FU

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: 10.13145/bacdive2390.20251217.10
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2391.20241212.9.2
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070654.10fu
title: SH0070654.10FU

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: 10.13145/bacdive2391.20251217.10
title: Chlamydia trachomatis (Busacca 1935) Rake 1957 emend. Everett et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070655.10fu
title: SH0070655.10FU

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.