cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-12.2973335/2482391
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973336/2482392
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973337/2482393
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973340/2482394
title: Data for EMSL Project 51287 from December 2023
DOI: 10.5281/zenodo.14533171
title: ЦИФРОВИЗАЦИИ И ЭВОЛЮЦИЯ УЧЕБНОГО ПРОЦЕССА В ЛИНГВИСТИЧЕСКИХ КУРСАХ

description: В  данной статье рассматривается процесс цифровизации, выявляются его преимущества в сфере образования, перечисляются возможности для эффективного и успешного использования цифровых технологий в рамках учебного процесса, затрагиваются такие важные понятия, как цифровая компетенция и медиакомпетенция. Цифровизация  отражает и изменяет ритм повседневной жизни как в профессиональной сфере, так и в личной. Программное обеспечение, терминалы, гаджеты и другие технические устройства позволяют в разы ускорить процесс обработки, переработки и распространения огромного количества данных, чем существенно на сегодняшний день облегчают учебный процесс.
DOI: 10.5281/zenodo.14533172
title: ЦИФРОВИЗАЦИИ И ЭВОЛЮЦИЯ УЧЕБНОГО ПРОЦЕССА В ЛИНГВИСТИЧЕСКИХ КУРСАХ

description: В  данной статье рассматривается процесс цифровизации, выявляются его преимущества в сфере образования, перечисляются возможности для эффективного и успешного использования цифровых технологий в рамках учебного процесса, затрагиваются такие важные понятия, как цифровая компетенция и медиакомпетенция. Цифровизация  отражает и изменяет ритм повседневной жизни как в профессиональной сфере, так и в личной. Программное обеспечение, терминалы, гаджеты и другие технические устройства позволяют в разы ускорить процесс обработки, переработки и распространения огромного количества данных, чем существенно на сегодняшний день облегчают учебный процесс.
DOI: 10.25582/data.2023-12.2973341/2482395
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973342/2482396
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973343/2482397
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973344/2482398
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973345/2482399
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973346/2482400
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973350/2482401
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973351/2482402
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973352/2482403
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973353/2482404
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973355/2482405
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973356/2482406
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973357/2482407
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973358/2482408
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973359/2482409
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973360/2482410
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973361/2482411
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973362/2482412
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973363/2482413
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973365/2482414
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973367/2482415
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973368/2482416
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973372/2482417
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973373/2482418
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973374/2482419
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.4rzw4w
title: Occurrence Download

description: A dataset containing 40076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leptinotarsa decemlineata (Say, 1824)"
 ]
}

 The dataset includes 40076 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043031-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14461/oncat.data/2482438
title: ARCS White Beam Vanadium Normalization for SNS Cycle 2020A

description: This is a white beam data set from V to normalize the relative detector performance. See the ARCS_155050.md file for more information
DOI: 10.15468/dl.swewb9
title: Occurrence Download

description: A dataset containing 271045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "StateProvince is one of (浙江, 浙江省, ZHEJIANG PROV., ZheJiang, Zhejiang, Zhejiang (Chekiang), Zhejiang (Chekiang) Province, Zhejiang (浙江省), Zhejiang Prov., Zhejiang Province, Zhejiang Province, Hangzhou County, Zhejiang Sheng)",
 "Year 2020-2024"
 ]
}

 The dataset includes 271045 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043026-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14533030
title: January 22, 2022 (0) Dataset Open MIROC4-ACTM N2O inversion fluxes (1997-2023)

description: Patra, P. K., E. J. Dlugokencky, J. W. Elkins, G. S. Dutton, Y. Tohjima, M. Sasakawa, A. Ito, R. Weiss, M. Manizza, P. B. Krummel, R. G. Prinn, S. O’Doherty, D. Bianchi, C. Nevison, E. Solazzo, H. Lee, S. Joo, E. A. Kort, S. Maity, M. Takigawa, Forward and inverse modelling of atmospheric nitrous oxide using MIROC4-atmospheric chemistry-transport model, J. Meteorol. Soc. Jpn., 100(2), 2022. (Copyright MSJ)
DOI: 10.5281/zenodo.14533031
title: January 22, 2022 (0) Dataset Open MIROC4-ACTM N2O inversion fluxes (1997-2023)

description: Patra, P. K., E. J. Dlugokencky, J. W. Elkins, G. S. Dutton, Y. Tohjima, M. Sasakawa, A. Ito, R. Weiss, M. Manizza, P. B. Krummel, R. G. Prinn, S. O’Doherty, D. Bianchi, C. Nevison, E. Solazzo, H. Lee, S. Joo, E. A. Kort, S. Maity, M. Takigawa, Forward and inverse modelling of atmospheric nitrous oxide using MIROC4-atmospheric chemistry-transport model, J. Meteorol. Soc. Jpn., 100(2), 2022. (Copyright MSJ)
DOI: 10.5281/zenodo.14533181
title: POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN TRAINING MILITARY PERSONNEL IN DEVELOPED FOREIGN COUNTRIES

description: The rapid advancement of artificial intelligence (AI) technologies has brought about significant changes in many sectors, including defense and military training. The integration of AI into military training offers numerous opportunities to enhance the efficiency, effectiveness, and safety of training programs. This article explores the various possibilities of using AI in the training of military personnel, examining its applications in simulation, personalized learning, real-time decision-making, and autonomous systems. The article also discusses the potential challenges and ethical considerations in the implementation of AI in military training.
DOI: 10.5281/zenodo.14533182
title: POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN TRAINING MILITARY PERSONNEL IN DEVELOPED FOREIGN COUNTRIES

description: The rapid advancement of artificial intelligence (AI) technologies has brought about significant changes in many sectors, including defense and military training. The integration of AI into military training offers numerous opportunities to enhance the efficiency, effectiveness, and safety of training programs. This article explores the various possibilities of using AI in the training of military personnel, examining its applications in simulation, personalized learning, real-time decision-making, and autonomous systems. The article also discusses the potential challenges and ethical considerations in the implementation of AI in military training.
DOI: 10.15468/dl.hzbhcp
title: Occurrence Download

description: A dataset containing 743790 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platycercus elegans (Gmelin, 1788)"
 ]
}

 The dataset includes 743790 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043030-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa9jb2
title: Occurrence Download

description: A dataset containing 38968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptinotarsa decemlineata (Say, 1824)"
 ]
}

 The dataset includes 38968 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043033-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14533191
title: INTERPRETATION OF THE CITY OF BUKHARA IN THE IMPRESSIONS OF RESEARCHERS.

description: This article discusses information about the city of Bukhara, the main city of Central Asia, of researchers of the 20th century.  In this case, after Bukhara city became an object of scientific research, we will see that its studies have developed considerably.  Basically, we can see that the contribution of O.A Sukhareva, M.S.Andreyev in the historical researches of Bukhara city is incomparable.  In addition, we can witness that information about the city of Bukhara was studied with the help of representatives of the diplomatic mission, orientalists, qualified officials, and military personnel.  Ignatiev, the representative of the diplomatic mission, also covered the stories of the Russian soldiers.  At the same time, the scientific activities of Khanikov, Leman, Zavyalov and other researchers were analyzed. This article provides information on the history of the study of the city of Bukhara by the name of the famous "Godly beauty" and the fact that the city occupies a special place in the eyes of world researchers under this great name.  It is of particular importance that the interesting history of the city attracts all researchers.  Due to the unique history of the city of Bukhara, the fact that some researchers have carried out scientific work on this issue indicates the great history of the city.
DOI: 10.5281/zenodo.14533192
title: INTERPRETATION OF THE CITY OF BUKHARA IN THE IMPRESSIONS OF RESEARCHERS.

description: This article discusses information about the city of Bukhara, the main city of Central Asia, of researchers of the 20th century.  In this case, after Bukhara city became an object of scientific research, we will see that its studies have developed considerably.  Basically, we can see that the contribution of O.A Sukhareva, M.S.Andreyev in the historical researches of Bukhara city is incomparable.  In addition, we can witness that information about the city of Bukhara was studied with the help of representatives of the diplomatic mission, orientalists, qualified officials, and military personnel.  Ignatiev, the representative of the diplomatic mission, also covered the stories of the Russian soldiers.  At the same time, the scientific activities of Khanikov, Leman, Zavyalov and other researchers were analyzed. This article provides information on the history of the study of the city of Bukhara by the name of the famous "Godly beauty" and the fact that the city occupies a special place in the eyes of world researchers under this great name.  It is of particular importance that the interesting history of the city attracts all researchers.  Due to the unique history of the city of Bukhara, the fact that some researchers have carried out scientific work on this issue indicates the great history of the city.
DOI: 10.5281/zenodo.14533189
title: MIKD
DOI: 10.5281/zenodo.14533190
title: MIKD
DOI: 10.6084/m9.figshare.28068176
title: Carboniferous PB datasets

description: the datasets included herein cover all the LA-ICP-MS geochronological, geochemical data acquired to support the discussion on the manuscript "<b>The influence of the Variscan belt collapse on the onset of the Paris Basin</b>" under review in the AGU Journal "Tectonics"
DOI: 10.6084/m9.figshare.28068176.v1
title: Carboniferous PB datasets

description: the datasets included herein cover all the LA-ICP-MS geochronological, geochemical data acquired to support the discussion on the manuscript "<b>The influence of the Variscan belt collapse on the onset of the Paris Basin</b>" under review in the AGU Journal "Tectonics"
DOI: 10.15468/dl.87qwn3
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Microbial diversity",
 "EventId is mgya00356993"
 ]
}

 The dataset includes 1046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043034-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14511472
title: STORMS checklist_1.03 (microbiome paper)
DOI: 10.5281/zenodo.14511473
title: STORMS checklist_1.03 (microbiome paper)
DOI: 10.6084/m9.figshare.24895432
title: Integrated double signal amplification systems with ELISA assay for sensitive detection of tylosin in food

description: Tylosin (TYL) is a kind of antibiotics which promotes the development of animal husbandry, but it poses potential threats to food safety and human health. Therefore, it is necessary to establish a highly sensitive method for the detection of TYL. Here, an enzyme-linked immunosorbent assay (ELISA) combined with biotin–streptavidin (Bio-SA) system and hybridization chain reaction (HCR) technique (Bio-SA-HCR-ELISA) was developed. In the absence of the TYL, a strong fluorescence was generated through double signal amplification as signal output, while in the presence of TYL, the fluorescence intensity decreased. The results showed that the limit of detection for TYL was 0.39 ng/mL, and this method had a good specificity for 9 common antiboics. Compared to the traditional indirect competitive ELISA, the sensitivity of this method was 6.8 times higher. Additionally, the established double signal amplification Bio-SA-HCR-ELISA was used for detecting TYL in milk and honey, the LOD of this method were 4.9 and 2.5 ng/mL, respectively.
DOI: 10.6084/m9.figshare.24895432.v1
title: Integrated double signal amplification systems with ELISA assay for sensitive detection of tylosin in food

description: Tylosin (TYL) is a kind of antibiotics which promotes the development of animal husbandry, but it poses potential threats to food safety and human health. Therefore, it is necessary to establish a highly sensitive method for the detection of TYL. Here, an enzyme-linked immunosorbent assay (ELISA) combined with biotin–streptavidin (Bio-SA) system and hybridization chain reaction (HCR) technique (Bio-SA-HCR-ELISA) was developed. In the absence of the TYL, a strong fluorescence was generated through double signal amplification as signal output, while in the presence of TYL, the fluorescence intensity decreased. The results showed that the limit of detection for TYL was 0.39 ng/mL, and this method had a good specificity for 9 common antiboics. Compared to the traditional indirect competitive ELISA, the sensitivity of this method was 6.8 times higher. Additionally, the established double signal amplification Bio-SA-HCR-ELISA was used for detecting TYL in milk and honey, the LOD of this method were 4.9 and 2.5 ng/mL, respectively.
DOI: 10.15468/dl.bxsz2e
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Microbial diversity",
 "EventId is mgya00356993"
 ]
}

 The dataset includes 1046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043035-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtzcrs
title: Occurrence Download

description: A dataset containing 60418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Phasianus colchicus Linnaeus, 1758, Tympanuchus phasianellus (Linnaeus, 1758), Perdix perdix (Linnaeus, 1758))",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 2000",
 "Country is United States of America",
 "StateProvince is Montana"
 ]
}

 The dataset includes 60418 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043036-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27949071
title: Data Analytics-Enabled High-Throughput Material Discovery and Computational Analyses for Copolymer Membrane Innovations

description: The industrial adoption of novel membrane materials remains a significant challenge despite their potential to contribute to sustainability and energy efficiency. This dissertation, Data Analytics-Enabled High-Throughput Material Discovery and Computational Analyses for Copolymer Membrane Innovations, addresses these challenges by integrating advanced data analytics, computational modeling, and experimental design to accelerate material discovery and optimize membrane fabrication processes. Through the use of model-based design of experiments (MBDoE), this work provides novel insights into reactive ink formulations for membrane functionalization and the rapid characterization of membrane transport properties, laying the groundwork for the development of self-driving laboratories (SDLs) to explore the structure-property-performance relationships in copolymer membranes.

The dissertation first establishes a comprehensive model-based data analytics framework, employing techniques such as maximum likelihood estimation, uncertainty quantification, Fisher Information Matrix (FIM) analysis to improve parameter estimability, and Akaike Information Criterion (AIC) for reaction pathway identification. These methodologies are applied to the development of mathematical models for reactive ink formulations and the optimization of membrane functionalization processes, with a focus on balancing environmental sustainability and industrial scalability.

In addition, the work introduces a high-throughput diafiltration apparatus that significantly reduces the time required to characterize membrane properties five-fold, leveraging real-time data analytics for enhanced process optimization. Further applications of MBDoE refine this apparatus to maximize parameter precision while minimizing experimental effort.

Finally, an integrated framework for the design of surface-charged nanofiltration membranes is presented, utilizing dynamic experiments and computational analysis to accelerate the development of membranes tailored for specific industrial applications. The findings of this research demonstrate the critical role of data-driven approaches in transforming membrane science, providing a pathway for reducing experimental effort, improving membrane performance, and enabling the transition of innovative materials from the laboratory to industrial scale.
DOI: 10.7274/27949071.v1
title: Data Analytics-Enabled High-Throughput Material Discovery and Computational Analyses for Copolymer Membrane Innovations

description: The industrial adoption of novel membrane materials remains a significant challenge despite their potential to contribute to sustainability and energy efficiency. This dissertation, Data Analytics-Enabled High-Throughput Material Discovery and Computational Analyses for Copolymer Membrane Innovations, addresses these challenges by integrating advanced data analytics, computational modeling, and experimental design to accelerate material discovery and optimize membrane fabrication processes. Through the use of model-based design of experiments (MBDoE), this work provides novel insights into reactive ink formulations for membrane functionalization and the rapid characterization of membrane transport properties, laying the groundwork for the development of self-driving laboratories (SDLs) to explore the structure-property-performance relationships in copolymer membranes.

The dissertation first establishes a comprehensive model-based data analytics framework, employing techniques such as maximum likelihood estimation, uncertainty quantification, Fisher Information Matrix (FIM) analysis to improve parameter estimability, and Akaike Information Criterion (AIC) for reaction pathway identification. These methodologies are applied to the development of mathematical models for reactive ink formulations and the optimization of membrane functionalization processes, with a focus on balancing environmental sustainability and industrial scalability.

In addition, the work introduces a high-throughput diafiltration apparatus that significantly reduces the time required to characterize membrane properties five-fold, leveraging real-time data analytics for enhanced process optimization. Further applications of MBDoE refine this apparatus to maximize parameter precision while minimizing experimental effort.

Finally, an integrated framework for the design of surface-charged nanofiltration membranes is presented, utilizing dynamic experiments and computational analysis to accelerate the development of membranes tailored for specific industrial applications. The findings of this research demonstrate the critical role of data-driven approaches in transforming membrane science, providing a pathway for reducing experimental effort, improving membrane performance, and enabling the transition of innovative materials from the laboratory to industrial scale.
DOI: 10.15468/dl.9rz5pz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Hong Kong",
 "TaxonKey is Lutra lutra (Linnaeus, 1758)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043038-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hszxpe
title: Occurrence Download

description: A dataset containing 1333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombyx mandarina Moore, 1872",
 "Year 2000-2024"
 ]
}

 The dataset includes 1333 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043040-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.