cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f7fmr
title: CCDC 2241474: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Blake, Carla M. Aragoni, Massimiliano Arca, Claudia Caltagirone, Alessandra Garau, Vito Lippolis, Giacomo Picci, Enrico Podda, Riccardo Montis|2023|Inorg.Chim.Acta|556|121648|doi:10.1016/j.ica.2023.121648
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.cc2fzqdk
title: CCDC 2263849: Experimental Crystal Structure Determination

description: Related Article: Jagodish C. Sarker, Firoz Alam, Paul McNaughter, David Pugh, Jeremy K. Cockcroft, David J. Lewis, Graeme Hogarth|2023|Inorg.Chim.Acta|556|121663|doi:10.1016/j.ica.2023.121663
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.cc2fzqfl
title: CCDC 2263850: Experimental Crystal Structure Determination

description: Related Article: Jagodish C. Sarker, Firoz Alam, Paul McNaughter, David Pugh, Jeremy K. Cockcroft, David J. Lewis, Graeme Hogarth|2023|Inorg.Chim.Acta|556|121663|doi:10.1016/j.ica.2023.121663
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.cc2fzqgm
title: CCDC 2263851: Experimental Crystal Structure Determination

description: Related Article: Jagodish C. Sarker, Firoz Alam, Paul McNaughter, David Pugh, Jeremy K. Cockcroft, David J. Lewis, Graeme Hogarth|2023|Inorg.Chim.Acta|556|121663|doi:10.1016/j.ica.2023.121663
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.cc2fzqhn
title: CCDC 2263852: Experimental Crystal Structure Determination

description: Related Article: Jagodish C. Sarker, Firoz Alam, Paul McNaughter, David Pugh, Jeremy K. Cockcroft, David J. Lewis, Graeme Hogarth|2023|Inorg.Chim.Acta|556|121663|doi:10.1016/j.ica.2023.121663
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.cc2cjyjd
title: CCDC 2191034: Experimental Crystal Structure Determination

description: Related Article: Sabri Hassen, Youssef Arfaoui, Yaroslav Filinchuk, Axel Klein, Hammouda Chebbi|2023|Inorg.Chim.Acta|557|121664|doi:10.1016/j.ica.2023.121664
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: 10.17632/zhv2wfnprv.1
title: AI Dialog Software Application

description: The theory behind the AI Dialog Software Application is described in the associated paper An Analysis of English Semantics based solely on Is-Has Relations; the Is-Has Mental Model; the AI Dialog software application. Briefly, AI Dialog is able to build a Mental Model from English Language input. Subsequently, comprehension may be tested using an English Language dialogue. AI Dialog is used to test the validity of the above theory and to assess its utility as a path to AI. This is a download for the executable of the AI Dialog Software Version 3.1 Alpha Release. The AI Dialog Software is protected by international copyright, but is made available to use for non-commercial personal study purposes. The software will run on Windows 10 systems and requires about 1 M byte. The download file is zipped and needs to be unzipped. After this, the content of the folder AI Dialog 3.1 Alpha Release is: • Application Files (Folder) • Documentation (Folder) • NLP2016Autumn (Manifest) • Setup (Application) In the Documentation folder are two PDF files: • Specification (PDF) • Copy of Tuition Lessons (PDF) The first is a specification of a subset of English for use with the AI Dialog system. The second is a hard copy of the tuition lessons. However, there is no need to consult either of these initially, as AI Dialog incorporates a quick start tuition module. To install AI Dialog, double click the Setup file. This starts AI Dialog immediately after installation but places an application icon on the Start list for restarting later. After AI Dialog starts, just follow the pop-up message instructions.
DOI: 10.17632/zhv2wfnprv.2
title: AI Dialog Software Application

description: The experimental AI Dialog Software Application is able to build a Mental Model from a plain English Dialogue input. Subsequently, Comprehension and Logical Capability may be tested using plain English Queries. AI Dialog is used to experimentally test the validity and utility of a novel software application design, as a path to Conversational Artificial Intelligence. The theory behind AI Dialog is fully described in the book: Belch, Francis R. (2021) Artificial Intelligence That Can Comprehend, Available at: Amazon.com. This is a download of the executable of the AI Dialog Software Application Version 3.2 Alpha Release. This version supersedes Version 3.1 to allow both U.K. and U.S. spelling in user input. The AI Dialog Software is protected by international copyright, but is made available to use for non-commercial personal study purposes. The application will run on Windows 10® PC, Laptop and Tablet systems, and requires about 1 M byte. The download file is zipped and needs to be unzipped. After this, the content of the folder AI Dialog 3.2 Alpha Release is: • Application Files (Folder) • Documentation (Folder) • NLP2016Autumn (Manifest) • Setup (Application) In the Documentation folder are two PDF files: • Appendix I - Tuition Lessons (PDF) • Appendix II – AI Dialog Specification (PDF) The first is a hard copy of the tuition lessons. The second is a specification of a subset of English for use with the AI Dialog system. However, there is no need to consult either of these initially, as AI Dialog incorporates a quick start tuition module. To install AI Dialog, double click the Setup file. This starts AI Dialog immediately after installation, but places an application icon on the Windows 10® Start list for restarting later. After AI Dialog starts, just follow the pop-up message instructions, which lead to a quick start interactive tuition module, fully describing how to use the application.
DOI: 10.17632/zhv2wfnprv.3
title: AI Dialog Software Application

description: The experimental AI Dialog Software Application is able to build a Mental Model from a plain English Dialogue input.  Subsequently, Comprehension and Logical Capability may be tested using plain English Queries.  AI Dialog is used to experimentally test the validity and utility of a novel software application design, as a path to Conversational Artificial Intelligence.  The theory behind AI Dialog is fully described in the book: Belch, Francis R. (2021) Artificial Intelligence That Can Comprehend, Available at: Amazon.com.

There are also two YouTube lectures each of about 1 hour duration describing a radical new theory of Linguistic Semantics used  to implement the AI Dialog Software Application.  These are:

Semantics I - A radical new approach - link address - https://www.youtube.com/watch?v=aTVRp2-9niU&t=209s

Semantics II - Dialogues & Mental Models - link address - https://www.youtube.com/watch?v=6S9VG9sINmg&t=37s

This is a download of the executable of the AI Dialog Software Application Version 3.2 Alpha Release.  This version supersedes Version 3.1 to allow both U.K. and U.S. spelling in user input.

The AI Dialog Software is protected by international copyright, but is made available to use for non-commercial personal study purposes.

The application will run on Windows 10® PC, Laptop and Tablet systems, and requires about 1 M byte.

The download file is zipped and needs to be unzipped. After this, the content of the folder AI Dialog 3.2 Alpha Release is:

•	Application Files (Folder)
•	Documentation (Folder)
•	NLP2016Autumn (Manifest)
•	Setup (Application)

In the Documentation folder are two PDF files:

•	Appendix I - Tuition Lessons (PDF)
•	Appendix II – AI Dialog Specification (PDF)

The first is a hard copy of the tuition lessons. The second is a specification of a subset of English for use with the AI Dialog system.  However, there is no need to consult either of these initially, as AI Dialog incorporates a quick start tuition module.

To install AI Dialog, double click the Setup file. This starts AI Dialog immediately after installation, but places an application icon on the Windows 10® Start list for restarting later.

After AI Dialog starts, just follow the pop-up message instructions, which lead to a quick start interactive tuition module, fully describing how to use the application.
DOI: 10.17632/b7465vzzcw.1
title: Effect of Accounting Information Manipulation on Innovation: Evidence from China

description: The files focus on the research sample of Chinese A-share listed firms from 2010-2018, containing data and replicable guide for corporate patent applications and citations, bond issuance, earnings restatements and other firm-level characteristics that are used in our study.
DOI: 10.5281/zenodo.8305165
title: Data for "Reducing Southern Ocean biases in the FOCI climate model"

description: Jupyter notebooks and time-averaged data needed to reproduce all plots in "Reducing Southern Ocean biases in the FOCI climate model" submitted to JAMES. Source code modifications needed to compile and run the model is also included. See attached README for more information.
DOI: 10.5281/zenodo.8305164
title: Data for "Reducing Southern Ocean biases in the FOCI climate model"

description: Jupyter notebooks and time-averaged data needed to reproduce all plots in "Reducing Southern Ocean biases in the FOCI climate model" submitted to JAMES. Source code modifications needed to compile and run the model is also included. See attached README for more information.
DOI: 10.5281/zenodo.8284530
title: Processed RNA expression count data and metadata from Gupta et al.:Systems genomics of salinity stress response in rice

description: We assessed gene expression variation in a population of 130 accessions of rice (Oryza sativa) belonging to the major varietal group indica. The field experiment was conducted in the dry season of 2017 at IRRI in Los Banos, Laguna, Philippines. Seeds from each accession were sown on December 16, 2016, and seedlings were then transplanted into the experimental fields at 17 days after sowing (DAS), on January 5, 2017. The field experiments was conducted across two locations close-by: one non-salinized normal field and the other salinized field. Both field environments used a randomized complete block experimental design with each accession planted in three replicates. Each experimental plot included the accessions NSICRC 222 and NSICRC 182 serving as border rows. The application of salt in Block L5 started on January 19, 2017 when the plants were 31 days old. The salinity level was monitored by recording electrical conductivity (EC), using EC meters installed in each of the parcels at a depth of 30 cm. The salinity levels were then maintained at 6 dS/m (considered mild to moderate salinity stress) until maturity. Management and maintenance of the fields included the application of basal fertilizer, spraying of insecticides against thrips and removal of plants potentially infected with the rice tungro virus disease. Tissue collection for transcriptome. Briefly, leaf collection was done at 38 DAS (8 days after the beginning of the salt treatment) in the non-saline and saline field. Transcript levels were measured using a liquid automation-based 3 prime mRNA-seq quantification approach. Samples were multiplexed in batches of 96 per library. Raw sequencing data are available at the SRA in BioProject accession number PRJNA1010833. A key to the raw sequencing data in this BioProject can be found in the metadata of the processed RNA expression count data here
DOI: 10.5281/zenodo.8284531
title: Processed RNA expression count data and metadata from Gupta et al.:Systems genomics of salinity stress response in rice

description: We assessed gene expression variation in a population of 130 accessions of rice (Oryza sativa) belonging to the major varietal group indica. The field experiment was conducted in the dry season of 2017 at IRRI in Los Banos, Laguna, Philippines. Seeds from each accession were sown on December 16, 2016, and seedlings were then transplanted into the experimental fields at 17 days after sowing (DAS), on January 5, 2017. The field experiments was conducted across two locations close-by: one non-salinized normal field and the other salinized field. Both field environments used a randomized complete block experimental design with each accession planted in three replicates. Each experimental plot included the accessions NSICRC 222 and NSICRC 182 serving as border rows. The application of salt in Block L5 started on January 19, 2017 when the plants were 31 days old. The salinity level was monitored by recording electrical conductivity (EC), using EC meters installed in each of the parcels at a depth of 30 cm. The salinity levels were then maintained at 6 dS/m (considered mild to moderate salinity stress) until maturity. Management and maintenance of the fields included the application of basal fertilizer, spraying of insecticides against thrips and removal of plants potentially infected with the rice tungro virus disease. Tissue collection for transcriptome. Briefly, leaf collection was done at 38 DAS (8 days after the beginning of the salt treatment) in the non-saline and saline field. Transcript levels were measured using a liquid automation-based 3 prime mRNA-seq quantification approach. Samples were multiplexed in batches of 96 per library. Raw sequencing data are available at the SRA in BioProject accession number PRJNA1010833. A key to the raw sequencing data in this BioProject can be found in the metadata of the processed RNA expression count data here
DOI: 10.17632/h9tntd4gkf.1
title: Radial peripapillary capillary density as a predictive factor for glaucoma in eyes with ocular hypertension

description: de-indentified data regarding this original research which aims to investigate microcirculation alterations of the radial peripapillary plexus.
DOI: 10.5281/zenodo.8302312
title: Data for "Realistic representation of mixed-phase clouds increases future climate warming

description: Data to reproduce the figures from Hofer et al. (2023) Realistic representation of mixed-phase clouds increases future climate warming
DOI: 10.5281/zenodo.8302311
title: Data for "Realistic representation of mixed-phase clouds increases future climate warming

description: Data to reproduce the figures from Hofer et al. (2023) Realistic representation of mixed-phase clouds increases future climate warming
DOI: 10.6084/m9.figshare.24065568
title: NIPT_ALL_Variants.tsv.gz

description: This data contains SNP sites and their corresponding annotations in tsv format.
DOI: 10.6084/m9.figshare.24065568.v1
title: NIPT_ALL_Variants.tsv.gz

description: This data contains SNP sites and their corresponding annotations in tsv format.
DOI: 10.17632/sh38yhf4sh.1
title: The Insulin receptor and Insulin like growth factor receptor 5’ UTRs support translation initiation independently of eIF4G1

description: Raw data for The Insulin receptor and Insulin like growth factor receptor 5’ UTRs support translation initiation independently of eIF4G1
DOI: 10.17632/nrxcykdjrs.4
title: Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region Appendix

description: Appendix of Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region
DOI: 10.17632/nrxcykdjrs.1
title: Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region Appendix

description: Appendix of Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region
DOI: 10.17632/nrxcykdjrs.2
title: Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region Appendix

description: Appendix of Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region
DOI: 10.17632/nrxcykdjrs.3
title: Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region Appendix

description: Appendix of Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region
DOI: 10.17632/nrxcykdjrs.5
title: Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region Appendix

description: Appendix of Assessment on Health and Ecosystem Impacts and Costs of Ozone Formation from Passenger Transport in Bangkok Metropolitan Region
DOI: 10.17632/j3mpstrmpz.1
title: Dataset to measure the impact of entrepreneurship, Information Technology, and E-Quality Services to Customer Value

description: The dataset are survey opinion about craft entrepreneurship who sell their products through online services. The dataset obtained from 228 entrepreneur samples taken at random and from representatives of 25 provinces in Indonesia.
DOI: 10.6084/m9.figshare.22263016
title: Data for "In-silico enhanced animal study of pulmonary artery pressure sensors: Assessing hemodynamics using computational fluid dynamics"

description: data set used in the manuscript "In-silico enhanced animal study of pulmonary artery pressure sensors: Assessing hemodynamics using computational fluid dynamics"
DOI: 10.6084/m9.figshare.22263016.v1
title: Data for "In-silico enhanced animal study of pulmonary artery pressure sensors: Assessing hemodynamics using computational fluid dynamics"

description: data set used in the manuscript "In-silico enhanced animal study of pulmonary artery pressure sensors: Assessing hemodynamics using computational fluid dynamics"
DOI: 10.17632/hy9ykhsj3y.1
title: An observational study of abrocitinib in adults with moderate-to-severe atopic dermatitis after switching from dupilumab.  Mendeley Supplements.

description: 1. Supplemental Materials including:
    Supplementary Figure 1: Flow diagram of study;
    Supplementary Figure 2: Numbers of AD patients achieving EASI 25/50/75 at week 2, 4, 8 and week 12.
    Supplementary Figure 3: Numbers of AD patients achieving SCORAD 25/50/75 at week 2, 4, 8 and week 12.
    Supplementary Figure 4: Clinical photographs and the EASI score of two typical patients during the follow-up. 
    Supplemental Table 1: Demographic and clinical characteristics of 16 patients.
    Supplemental Table 2: Laboratory parameters before and during abrocitinib treatment.
2.Supplemental Methods
DOI: 10.5281/zenodo.8223290
title: Chromosome-level genome assembly for the angiosperm Silene conica

description: Genome annotation for <em>Silene conica</em>
DOI: 10.5281/zenodo.8223289
title: Chromosome-level genome assembly for the angiosperm Silene conica

description: Genome annotation for <em>Silene conica</em>
DOI: 10.34740/kaggle/dsv/6394879
title: Nepali Name Dataset in Devanagari (With Gender)
DOI: 10.17632/ycnm3f8gsf.1
title: Reconstitution of C9orf72 GGGGCC repeat-associated non-AUG translation with purified human translation factors

description: Data in ''Reconstitution of C9orf72 GGGGCC repeat-associated non-AUG translation with purified human translation factors"
DOI: 10.17632/ycnm3f8gsf.2
title: Reconstitution of C9orf72 GGGGCC repeat-associated non-AUG translation with purified human translation factors

description: Data in ''Reconstitution of C9orf72 GGGGCC repeat-associated non-AUG translation with purified human translation factors"
DOI: 10.17632/sf3mfhhcwp.1
title: Full stack detection 

description: The model was also tested through video1.avi in which full stack detection can be observed.
DOI: 10.17632/hhj26kpfff.1
title: A two-centre study for the evaluation of the diagnostic performance of the Rapid SARS-CoV-2 Antigen Test Card for Covid-19

description: Participant data and results
DOI: 10.5281/zenodo.8270244
title: A library of the 2-(9,3,5) designs

description: This dataset contains a complete list of pairwise nonisomorphic 2-(9,3,5) designs. Explanations, background, and the file format, are described in the Zenodo dataset<br> Heinlein, Daniel, Ivanov, Andrei, McKay, Brendan, & Östergård, Patric R. J. (2023). A library of combinatorial 2-designs [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.8262681
DOI: 10.5281/zenodo.8270245
title: A library of the 2-(9,3,5) designs

description: This dataset contains a complete list of pairwise nonisomorphic 2-(9,3,5) designs. Explanations, background, and the file format, are described in the Zenodo dataset<br> Heinlein, Daniel, Ivanov, Andrei, McKay, Brendan, & Östergård, Patric R. J. (2023). A library of combinatorial 2-designs [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.8262681
DOI: 10.5517/cc99f77
title: CCDC 277178: Experimental Crystal Structure Determination

description: Related Article: O.B.Flekhter, G.V.Giniyatullina, F.Z.Galin, N.Zh.Baschenko, N.S.Makara, F.S.Zarudii, E.I.Boreko, O.V.Savinova, N.I.Pavlova, Z.A.Starikova, G.A.Tolstikov|2005|Khim.Prir.Soedin||582|
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/cctjkkf
title: CCDC 760695: Experimental Crystal Structure Determination

description: Related Article: R.S.Correa, S.R.Souza-e-Silva, L.P.Duarte, G.D.F.Silva, L.C.A.Barbosa, J.Ellena, A.C.Doriguetto|2012|Zh.Strukt.Khim.|53|160|
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.