cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d0v2c
title: CCDC 2205342: Experimental Crystal Structure Determination

description: Related Article: Yuxiao Duan, Meng Chen, Hironobu Hayashi, Hiroko Yamada, Xinyue Liu, Lei Zhang|2023|Chemical Science|14|10420|doi:10.1039/D3SC00658A
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.cc2d3msy
title: CCDC 2208030: Experimental Crystal Structure Determination

description: Related Article: Yuxiao Duan, Meng Chen, Hironobu Hayashi, Hiroko Yamada, Xinyue Liu, Lei Zhang|2023|Chemical Science|14|10420|doi:10.1039/D3SC00658A
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.cc2d3mv0
title: CCDC 2208032: Experimental Crystal Structure Determination

description: Related Article: Yuxiao Duan, Meng Chen, Hironobu Hayashi, Hiroko Yamada, Xinyue Liu, Lei Zhang|2023|Chemical Science|14|10420|doi:10.1039/D3SC00658A
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.cc2c19d4
title: CCDC 2175995: Experimental Crystal Structure Determination

description: Related Article: Giuseppe Floresta, Vincenzo Patamia, Paolo Pio Mazzeo, Giuseppe Marcello Lombardo, Venerando Pistarà, Alessia Bacchi, Antonio Rescifina, Francesco Punzo|2023|J.Mol.Struct.|1303|137588|doi:10.1016/j.molstruc.2024.137588
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10610787
title: ARIES Stratosphere-Troposphere Radar (ASTRad) Dataset Rajput_et_al_ESS

description: The data used in the manuscript entitled "Dynamical and microphysical aspects of two distinct precipitation systems in the Himalayas with 206.5 MHz radar and WRF model" are as following:

 

The surface parameters for Case-I and Case-II can be extracted from the following file:  Surface_met

 

The ASTRad time series data for Case-I can be accessed from the following file: ASTRad_data_Case-I

 

The ASTRad time series data for Case-II can be accessed from the following file: ASTRad_data_Case-II

 

The header information of ASTRad data is provided in the user manual (WT-MCRSP-1.2 User Manual.pdf)

 

## Authors

 

Akanksha Rajput 1, 2, Narendra Singh 1*, Jaydeep Singh 1, 2, Ashish Kumar 1, Shantanu Rastogi 2

1 Aryabhatta Research Institute of observational sciencES (ARIES), Nainital

2 Department of Physics, DDU Gorakhpur University, Gorakhpur

 



## Acknowledgements

 

 We acknowledge the ASTRad working team for radar observations utilized in this study. The authors are thankful to Director ARIES, Nainital, for valuable support.
DOI: 10.5281/zenodo.10610788
title: ARIES Stratosphere-Troposphere Radar (ASTRad) Dataset Rajput_et_al_ESS

description: The data used in the manuscript entitled "Dynamical and microphysical aspects of two distinct precipitation systems in the Himalayas with 206.5 MHz radar and WRF model" are as following:

 

The surface parameters for Case-I and Case-II can be extracted from the following file:  Surface_met

 

The ASTRad time series data for Case-I can be accessed from the following file: ASTRad_data_Case-I

 

The ASTRad time series data for Case-II can be accessed from the following file: ASTRad_data_Case-II

 

The header information of ASTRad data is provided in the user manual (WT-MCRSP-1.2 User Manual.pdf)

 

## Authors

 

Akanksha Rajput 1, 2, Narendra Singh 1*, Jaydeep Singh 1, 2, Ashish Kumar 1, Shantanu Rastogi 2

1 Aryabhatta Research Institute of observational sciencES (ARIES), Nainital

2 Department of Physics, DDU Gorakhpur University, Gorakhpur

 



## Acknowledgements

 

 We acknowledge the ASTRad working team for radar observations utilized in this study. The authors are thankful to Director ARIES, Nainital, for valuable support.
DOI: 10.25345/c5z60cc8m
title: MassIVE MSV000093987 - GNPS AK275-1I strain negative spectrum stretomyces
title: GNPS AK275-1I strain negative spectrum stretomyces bacterium is used for MN
DOI: 10.6073/pasta/978f958dbf8488e2b42d229ea5d422a2
title: Monthly precipitation data from a network of standard gauges at the Jornada Experimental Range (Jornada Basin LTER) in southern New Mexico, January 1916 - ongoing

description: This ongoing dataset contains monthly precipitation measurements
 from a network of standard can rain gauges at the Jornada
 Experimental Range in Dona Ana County, New Mexico, USA.
 Precipitation physically collects within gauges during the month and
 is manually measured with a graduated cylinder at the end of each
 month. This network is maintained by USDA Agricultural Research
 Service personnel. This dataset includes 39 different locations but
 only 29 of them are current. Other precipitation data exist for this
 area, including event-based tipping bucket data with timestamps, but
 do not go as far back in time as this dataset.
DOI: 10.3886/icpsr38535.v2
title: Multi-method Community Inquiry (R2 Part C): Survey of Disability Organizations, United States, 2021-2022
title: Version 2

description: Multi-method Community Inquiry (R2 Part C): Survey of Disability Organizations, United States was the second of a three-part study designed to enhance understanding of the complex interactions between the person and environment that are associated with healthy aging for individuals with long-term physical disabilities from low-income and minority communities and to identify best practices related to impactful policies, programs, and resources.


This component of the project used a national survey of disability organizations to identify best practices for promoting healthy aging with physical disabilities and the personal and environmental factors that mediate the effectiveness of community living outcomes among diverse communities. This survey incorporated insights gained from focus groups and key informant interviews in its design and questions.
description: The study will be integrated with Investigating Disability factors and promoting Environmental Access for Healthy Living Rehabilitation Research and Training Center (IDEAL RRTC) research findings to inform and guide the design and implementation of proposed research interventions. This study contains information that is relevant to health providers, community organizations, community health workers, policymakers, and members of the disability community and aims to further advance community, state and federal policies to reduce disparities and improve health aging for adults with physical disabilities.
description: Response Rates: Of the 1647 organizations that were sent an email invite, 165 organizations opened the survey (10%), and 139 organizations provided a valid response to at least one survey
question (8%).
description: For the sampling frame, researchers relied on a national database of organizations maintained by staff at the Investigating Disability factors and promoting Environmental Access for Healthy Living Rehabilitation Research and Training Center (IDEAL RRTC) at the University of Michigan. To create the database, IDEAL RRTC staff conduct regular internet searches for U.S.-based organizations that provide resources to those with disabilities. The total number of organizations in the database as of April 2022 was 3564. Of these organizations, 1917 were excluded from the sample because IDEAL RRTC staff were unable to identify a valid, unique email address for the organization. All of the other organizations were invited to participate in the survey, resulting in a final sample of 1647 organizations.
description: Datasets: 
DS1: Multi-method Community Inquiry (R2 Part C): Survey of Disability Organizations, United States, 2021-2022
description: Organizations across the United States that serve those aging with disability. Smallest Geographic Unit: State
description: web-based surveyFor additional information on the Multi-method Community Inquiry (R2 Part C): Survey of Disability Organizations Study, please visit the Multi-method Community Inquiry (R2 Part C): Survey of Disability Organizations website.
DOI: 10.5281/zenodo.10611523
title: Cardiac remodeling before Yerba Mate consumption

description: Dataset of cardiac histological analysis of Wistar rats submitted to Yerba Mate Group (YM), 6g of Ilex paraguariensis in 100 ml water for 30 days.
description: Analysis of cardiac remodeling: fractal dimension, area, collagen  content
DOI: 10.5281/zenodo.10611524
title: Cardiac remodeling before Yerba Mate consumption

description: Dataset of cardiac histological analysis of Wistar rats submitted to Yerba Mate Group (YM), 6g of Ilex paraguariensis in 100 ml water for 30 days.
description: Analysis of cardiac remodeling: fractal dimension, area, collagen  content
DOI: 10.17615/45gt-9d49
title: Shifts in routine vaccine confidence during the COVID-19 pandemic in Kinshasa Province, DRC: A mixed-methods approach 

description: The COVID-19 pandemic negatively impacted routine immunizations worldwide, decreasing confidence in vaccination programs. Leveraging a previously validated Shift in Vaccine Confidence (SVC) tool, we measured changes in routine HBV vaccine confidence due to the pandemic among Kinshasa-based participants and factors influencing vaccination confidence, uptake, and intention. We verbally administered SVC surveys in person to HBV-negative adults in Kinshasa who were ≥18 years of age, exposed to HBV in the household, and eligible for HBV vaccination. We measured HBV vaccination status in three ways: vaccinee, willing to receive HBV vaccination,  or refused. We interviewed participants at one time point, during which they responded to prompts in the framework of (1) before and (2) during the pandemic. To measure shifts in vaccine confidence, we compared vaccination confidence before versus during the pandemic using Chi-square tests. We also coded open-ended responses to explore context-specific vaccine uptake and perception determinants. From April 2022 to February 2023, we administered the SVC tool to a purposive sample of 41 participants: 7 vaccinees, 23 willing to receive HBV vaccine, and 11 refusers. We observed statistically significant declines in opinion across all five vaccine confidence domains when comparing responses during versus before the pandemic (p<0.01). The most significant shift in perspective was that 80.5% of participants believed that vaccines were safe before the pandemic, compared to 46.3% during the pandemic (p<0.01). Qualitative analysis identified four emergent domains impacting uptake decisions: vaccine confidence, knowledge, risks, and external influences. Rising uncertainty about efficacy, safety, and distrust in the COVID-19 vaccine undermined vaccine confidence among our participants. Factors such as distrust in manufacturers and government, fear of side effects, perceived low illness risk, and inconvenient healthcare access contributed to low vaccine uptake. These insights underscore the pandemic's impact on routine immunization and emphasize the need for consideration in future vaccination campaigns.
DOI: 10.6084/m9.figshare.13235453
title: Data Deposition for "Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning "

description: The dataset includes 536 oropharyngeal squamous cell carcinoma (OPC) patients treated at MDACC between 2005 and 2013.<br><br>
DOI: 10.6084/m9.figshare.13235453.v3
title: Data Deposition for "Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning "

description: The dataset includes 536 oropharyngeal squamous cell carcinoma (OPC) patients treated at MDACC between 2005 and 2013.<br><br>
DOI: 10.6084/m9.figshare.13235453.v2
title: Data Deposition for "Optimal policy determination in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: A patient-physician digital twin dyad with deep Q-learning "

description: The dataset includes 536 oropharyngeal squamous cell carcinoma (OPC) patients treated at MDACC between 2005 and 2013.<br><br>
DOI: 10.6084/m9.figshare.24042606.v4
title: Identifying key environmental factors driving variations in predation risks of the invasive <i>Bactrocera Dorsalis</i> on a tropical island

description: In tropical regions, insects often face an elevated risk of predation due to warm temperatures and ecological interactions. However, the specific factors that impact the predation risk faced by resident prey on large tropical islands are still unknown. Furthermore, tropical islands are highly susceptible to invasive species, yet limited knowledge exists about the predator diversity and predation risks these invasives encounter, which are crucial for assessing their successful invasion possibility. To address these knowledge gaps, we conducted a study across 16 locations on Hainan Island, a tropical island in the South China Sea, to examine how environmental factors specific to tropical islands influence predator diversity and the predation risks of <i>Bactrocera dorsalis</i> pupae, an invasive agricultural pest.
DOI: 10.25345/c5th8bz58
title: MassIVE MSV000093988 - Proteins quantified in metabolomics supernatant
title: Proteins remaining in the metabolomic extract from 3 common extraction modalities were quantified by DIA on the Oribtrap Eclipse following tryptic digest.
DOI: 10.25345/c5pr7n521
title: MassIVE MSV000093989 - EDC-3 and EDC-4 Regulate Embryonic mRNA Clearance and Biomolecular Condensate Specialization
title: Animal development is dictated by the selective and timely decay of mRNAs in developmental transitions. The implication of mRNA decapping scaffold proteins in these processes was unknown. This study delineates the roles and interactions of the DCAP-2 decapping scaffolds EDC-3 and EDC-4 in the embryonic development of C. elegans. EDC-3 facilitates the timely removal of specific embryonic mRNAs, including ifet-1, car-1, and cgh-1, reducing their expression, and preventing excessive accumulation of DCAP-2 condensates in somatic cells. We further uncover a novel role for EDC-3 in defining the biochemical boundaries between P-bodies, P-granules, and stress granules. Lastly, we show that EDC-4 counteracts EDC-3 and mediates the assembly of DCAP-2 with the GID (CTLH) complex, a ubiquitin ligase involved in maternal-to-zygotic transition (MZT). Our findings refine a model wherein multiple RNA decay mechanisms temporally partake in the clearance of maternal and zygotic mRNAs throughout embryonic development.
DOI: 10.5281/zenodo.10600176
title: Land-In-Pro Literature Collection
title: 100027-2022-FP-PNRR-YR_MSCA_0000005_Land-In-Pro_WP1-M1_LiteratureCollection_1.0

description: This dataset contains a set of data related to bibliographic records (v. Cat 1, Deliverable D6.2, DMP) accessed and consulted during the WP1 research activities. It constitutes the corpus of the Land-In-Pro literature collection which encompasses references of local, national, and predominantly European relevance useful to the advancement of the project’s research activities. The Land-In-Pro literature collection can be browsed on the project website and can be filtered according to the Land-In-Pro tags. These are aimed at clustering entries related to specific thematic contents following the project’s objectives. This dataset has been curated by Dr Federica Pompejano and Dr Sara Rocco. It relates to:



WP1

Version 1.0; created on January 31, 2024, issued on February 1, 2024.

Federica Pompejano, RTD-A, Department Architecture and Design (DAD), Università di Genova (UniGe), federica.pompejano@unige.it (creator and depositor).

Sara Rocco, Postdoctoral researcher, Department Architecture and Design (DAD), Università di Genova (UniGe), sara.rocco@edu.unige.it (creator).

Sara Mauri, Postdoctoral researcher, Department Architecture and Design (DAD), Università di Genova (UniGe), sara.mauri@edu.unige.it (contributor).

Data originates from the consultation and processing of local libraries, libraries' online catalogues, and UniGe online access to scientific databases and repositories.

Keywords: NextGenerationEU, NextGenEu, MUR, PNRR, UniGe, DAD, Land-In-Pro, Literature Collection, Bibliography; Industrial heritage, Industrial landscape.

Link: https://landinpro.unige.it/literaturecollection

Metadata: The metadata will be compiled into a plain text or markdown README file (.txt) and .xml. Metadata are compiled using the online tool DataCite Metadata Generator - Kernel 4.4 provided by DataCite Metadata Working Group. (2021). DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs. Version 4.4. DataCite e.V. https://doi.org/10.14454/3w3z-sa82.

Data sharing: Land-In-Pro Literature Collection © 2024 by Land-In-Pro Project - Federica Pompejano and Sara Rocco, Department Architecture and Design (DAD), Università di Genova (UniGe) is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).


Acknowledgements: This dataset is part of the Land-In-Pro project, which has received funding from the Ministry of University and Research, General Directorate for Internationalisation and Communication – National Recovery and Resilience Plan (NRRP) - Mission 4 “Education and Research” - Component 2 “From Research to Business” - Investment 1.2 “Funding projects presented by young researchers” and the European Union – Next Generation EU.

Disclaimer: The content of this database reflects only the authors’ views. The Ministry of University and Research and the European Commission are not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.10600177
title: Land-In-Pro Literature Collection
title: 100027-2022-FP-PNRR-YR_MSCA_0000005_Land-In-Pro_WP1-M1_LiteratureCollection_1.0

description: This dataset contains a set of data related to bibliographic records (v. Cat 1, Deliverable D6.2, DMP) accessed and consulted during the WP1 research activities. It constitutes the corpus of the Land-In-Pro literature collection which encompasses references of local, national, and predominantly European relevance useful to the advancement of the project’s research activities. The Land-In-Pro literature collection can be browsed on the project website and can be filtered according to the Land-In-Pro tags. These are aimed at clustering entries related to specific thematic contents following the project’s objectives. This dataset has been curated by Dr Federica Pompejano and Dr Sara Rocco. It relates to:



WP1

Version 1.0; created on January 31, 2024, issued on February 1, 2024.

Federica Pompejano, RTD-A, Department Architecture and Design (DAD), Università di Genova (UniGe), federica.pompejano@unige.it (creator and depositor).

Sara Rocco, Postdoctoral researcher, Department Architecture and Design (DAD), Università di Genova (UniGe), sara.rocco@edu.unige.it (creator).

Sara Mauri, Postdoctoral researcher, Department Architecture and Design (DAD), Università di Genova (UniGe), sara.mauri@edu.unige.it (contributor).

Data originates from the consultation and processing of local libraries, libraries' online catalogues, and UniGe online access to scientific databases and repositories.

Keywords: NextGenerationEU, NextGenEu, MUR, PNRR, UniGe, DAD, Land-In-Pro, Literature Collection, Bibliography; Industrial heritage, Industrial landscape.

Link: https://landinpro.unige.it/literaturecollection

Metadata: The metadata will be compiled into a plain text or markdown README file (.txt) and .xml. Metadata are compiled using the online tool DataCite Metadata Generator - Kernel 4.4 provided by DataCite Metadata Working Group. (2021). DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs. Version 4.4. DataCite e.V. https://doi.org/10.14454/3w3z-sa82.

Data sharing: Land-In-Pro Literature Collection © 2024 by Land-In-Pro Project - Federica Pompejano and Sara Rocco, Department Architecture and Design (DAD), Università di Genova (UniGe) is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).


Acknowledgements: This dataset is part of the Land-In-Pro project, which has received funding from the Ministry of University and Research, General Directorate for Internationalisation and Communication – National Recovery and Resilience Plan (NRRP) - Mission 4 “Education and Research” - Component 2 “From Research to Business” - Investment 1.2 “Funding projects presented by young researchers” and the European Union – Next Generation EU.

Disclaimer: The content of this database reflects only the authors’ views. The Ministry of University and Research and the European Commission are not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.10611575
title: Dataset from: Evolution history and the importance of genomic diversity facing climate change. The case of Agave marmorata Roezl., a microendemic agave used for mezcal production.

description: Vcf output from VCFtools v.0.1.15, excluding sites with over 80% of missing data. We left only sites with a maximum and minimum of two alleles, a minimum mean depth of 12, and a maximum mean depth of less or equal of 200. Sites that significantly deviated from the Hardy-Weinberg equilibrium (1e-02), a minor allele frequency (MAF) of <0.05, InDels, and individuals with more than 90% missing data were removed.
DOI: 10.7294/24042825.v2
title: Valine and non-essential amino acids affect bi-directional transport rates of leucine and isoleucine in bovine mammary epithelial cells

description:  “Valine and non-essential amino acids affect bi-directional transport rates of leucine and isoleucine in bovine mammary epithelial cells”. This study assessed transport rates of 7 AA to evaluate the effects of high and low concentrations of Val and Ala, Gln, and Gly provided as a group in primary bovine mammary epithelial cells. Treatment effects on Leu and Ile were attributed to increased intracellular concentrations of non-essential AA used as exchange currency combined with the reduced shared transporter competition from Val. These results demonstrate that the efficiency of branched-chain amino acid uptake by mammary cells is affected by competition among the branched-chain AA and the synergistic effects of non-essential AA.
DOI: 10.6084/m9.figshare.25124129
title: Source Data of NCOMMS-NCOMMS-23-29744B

description: Source Data of NCOMMS-NCOMMS-23-29744B
DOI: 10.6084/m9.figshare.25124129.v5
title: Source Data of NCOMMS-NCOMMS-23-29744B

description: Source Data of NCOMMS-NCOMMS-23-29744B