cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ehpvzy
title: Entropy State-Regularized Recurrent Neural Network- Long Short Term Memory (ESRRNN-LSTM) and Classifier for COVID-19 Vaccine

description: Abstract
Background: The subject of why some people refuse to receive certain vaccines during an ongoing public health crisis is particularly relevant because low vaccination rates will prolong the time it takes for many countries to recover from the coronavirus disease 2019 (COVID-19) pandemic. Thus, the prediction of user opinion who is taking COVID-19 vaccinations plays a significant role. Existing classification methods has the issue of handling larger dataset, and it becomes increased time complexity. Deep Learning (DL) model is solution for analyzing user opinions with increased tweets, and produces better performance. Objective: The major objective of the work is to design a new methodology for the prediction of user opinion using DL. DL is used to predict the evolution of the user opinion to coronavirus vaccination. Findings: Covid-19 Twitter Dataset has been collected from Kaggle. It consists of 2,35,240, 3,20,316, and 4,89,269 tweets for first, second, and third phase. Results of proposed ESRRNN-LSTM classifier is compared with existing methods like Modified Long Short-Term Memory (MLSTM) and Bi-LSTM. Results of classifiers are measured in terms of precision, recall, f-score, and accuracy. Proposed system has the highest results in terms of accuracy of 91.20%, precision of 90.00%, recall of 88.00% and F-Score of 87.00%. The five fold cross validation has been also performed to classifiers. Novelty: this work is resulted in developing an Entropy State-Regularized Recurrent Neural Network- Long Short Term Memory (ESRRNN-LSTM) for vaccination prediction from user opinion tweets. Parameters of classifier are optimized using the entropy function.

Keywords: COVID­19, Sentiment Analysis, Twitter, Deep Learning, Entropy State­
DOI: 10.21233/f0ys-w405
title: Atlantic Lake diatom surface sample dataset

description: Raw data for the Atlantic Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tbge-1593
title: Fossitt 1994 Site SS24 charcoal surface sample dataset

description: Raw data for the Fossitt 1994 Site SS24 charcoal surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fhn0-cf13
title: ELA 101 (Enache et al 2011) water chemistry dataset

description: Raw data for the ELA 101 (Enache et al 2011) water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pts1-ya77
title: Devils Lake, Creel Bay pollen surface sample dataset

description: Raw data for the Devils Lake, Creel Bay pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/480a-sg81
title: ABD87 pollen surface sample dataset

description: Raw data for the ABD87 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/sp4f-h371
title: Colle Gnifetti pollen dataset

description: Raw data for the Colle Gnifetti pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/we70-1684
title: Radium Creek pollen surface sample dataset

description: Raw data for the Radium Creek pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vxnc-6b65
title: MRTN11 pollen surface sample dataset

description: Raw data for the MRTN11 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dq8c-nn51
title: LDDsite2132 water chemistry dataset

description: Raw data for the LDDsite2132 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/eiccdx
title: Tunnel Data

description: Long-term monitoring data of tunnel
DOI: 10.21233/f29t-1n50
title: South America diatom bottom sample dataset

description: Raw data for the South America diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qr79-1g35
title: Crabtree Cave [45KT73] vertebrate fauna dataset

description: Raw data for the Crabtree Cave [45KT73] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6ayw-b735
title: LDDsite733 ostracode surface sample dataset

description: Raw data for the LDDsite733 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/38s2-tc18
title: Sanford Lake ostracode surface sample dataset

description: Raw data for the Sanford Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8wq0-j805
title: Saint-Jean-le-Thomas pollen dataset

description: Raw data for the Saint-Jean-le-Thomas pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/63tv-hw50
title: Casa Chiquita,  San Juan Co., NM vertebrate fauna dataset

description: Raw data for the Casa Chiquita,  San Juan Co., NM vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4bk0-k872
title: LDDsite6515 ostracode surface sample dataset

description: Raw data for the LDDsite6515 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/eodjae
title: Replication Data for "Adverse Childhood Experiences Among LGBTQ+ High School Students: National Evidence from the 2023 Youth Risk Behavior Survey"

description: This repository contains the data and code to replicate "Adverse Childhood Experiences Among LGBTQ+ High School Students: National Evidence from the 2023 Youth Risk Behavior Survey," published in the American Journal of Public Health, 10.2105/AJPH.2025.30809
DOI: 10.21233/27c4-e095
title: Loon Lake water chemistry dataset

description: Raw data for the Loon Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/crz2ia
title: The mediating effects of convergence of femininity-maternity and marital intimacy in the relationship between postpartum depression and quality of life in postpartum mothers: a cross-sectional study

description: This study explored the mediating effect of convergence of maternity‐femininity and marital intimacy in the relationship between postpartum depression and quality of life in postpartum mothers between 2-6 weeks postpartum, from Korea.
DOI: 10.5281/zenodo.15384852
title: Exploring the Impact of AI and LLMs on Software Developers' Productivity: A Systematic Review and Mapping of the Literature - Replication Package
DOI: 10.5281/zenodo.15384853
title: Exploring the Impact of AI and LLMs on Software Developers' Productivity: A Systematic Review and Mapping of the Literature - Replication Package
DOI: 10.5281/zenodo.15385058
title: SOCIAL AND PHILOSOPHICAL FACTORS IN ENHANCING THE SENSE OF PATRIOTISM AMONG YOUTH
DOI: 10.5281/zenodo.15385059
title: SOCIAL AND PHILOSOPHICAL FACTORS IN ENHANCING THE SENSE OF PATRIOTISM AMONG YOUTH
DOI: 10.21233/qgth-2540
title: Bull Dog Lake pollen surface sample dataset

description: Raw data for the Bull Dog Lake pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/qmekyj
title: WX24

description: This report describes the results of an annual nationwide survey on severe weather in the United States. The 2024 Severe Weather and Society Survey (WX) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. It is the eighth survey in the annual series (see Silva et al. 2017, Silva et al. 2018, Silva et al. 2019, Krocak et al. 2020, Krocak et al. 2021, Bitterman et al. 2022, and Bitterman et al. 2023 for information on WX17, WX18, WX19, WX20, WX21, WX22 and WX23, respectively). WX24 was fielded October 10 – November 5, 2024, using an online questionnaire that was completed by 1,354 U.S. adults (age 18+) that were recruited from an Internet panel that matches the characteristics of the U.S. population as estimated in the U.S. Census. Following WX17 and WX18, which were designed to establish baseline measures of the extent to which U.S. adults receive, understand, and respond to severe weather forecasts and warnings, WX19, WX20, WX21 and WX22 were designed to continue and, in some cases, refine the measurement of these concepts. WX23 continues to measure these core concepts and tested different methods for visualizing conditional intensity in Storm Prediction Center products, as well as a variety of experimental scales for the SPC’s convective outlook. While continuing these base measures, the WX24 survey also includes more experiments related to SPC products and prototypes, including a test of the experimental interactive outlook and assessment of understanding, use and intended response for the Day 4-8 convective outlooks. This report presents an overview of methodology of the survey data collection, data weighting, and a reproduction of the survey instrument with weighted means and frequencies for the questions that elicited numeric responses.

NOAA’s Weather Program Office provided funding for survey design and data analysis.
DOI: 10.21233/ehx3-mw19
title: Etang Fer-de-Lance pollen dataset

description: Raw data for the Etang Fer-de-Lance pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ep1d-k760
title: Box Butte Reservoir diatom surface sample dataset

description: Raw data for the Box Butte Reservoir diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/z25e-z318
title: Horseman's Farm water chemistry dataset

description: Raw data for the Horseman's Farm water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/evmuvc
title: Models Repository for AI adoption

description: APPENDIX J Executive Summary of Policy Implications
APPENDIX V Shanghai Declaration 
 VA Key Themes Shanghai Declaration AI (Shanghai, 2024)
APPENDIX W DTF Framework by JIRC
 WA Key Themes DTF (JIRC, 2023)
APPENDIX X Ethnography observations summary constructs diagram
APPENDIX Y Multidimensional nature of AI initiatives
APPENDIX Z QONPD4OR Formulas Ko K.B. Mike
description: APPENDIX J Executive Summary of Policy Implications
APPENDIX V Shanghai Declaration 
 VA Key Themes Shanghai Declaration AI (Shanghai, 2024)
APPENDIX W DTF Framework by JIRC
 WA Key Themes DTF (JIRC, 2023)
APPENDIX X Ethnography observations summary constructs diagram
APPENDIX Y Multidimensional nature of AI initiatives
APPENDIX Z QONPD4OR Formulas Ko K.B. Mike
DOI: 10.21233/tgpx-kt83
title: Cheng et al. 2020 Site 116 pollen surface sample dataset

description: Raw data for the Cheng et al. 2020 Site 116 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/eqmscc
title: A99_12848.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/367a54c5-e8bf-8add-ad06-153a455bfe69'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/367a54c5-e8bf-8add-ad06-153a455bfe69
DOI: 10.21233/mhe0-za87
title: El Pirulejo pollen dataset

description: Raw data for the El Pirulejo pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pxx1-b735
title: Nels Lake diatom dataset

description: Raw data for the Nels Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dkyw-qt64
title: Ublik Pond pollen surface sample dataset

description: Raw data for the Ublik Pond pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/ezawxy
title: Replication Data for: Justice Shift and Abortion: Women in Conservative and Liberal Media, 2009-2022.

description: This dataset contains processed data and analysis code for a study examining media depiction of women in abortion discourse. The dataset includes analysis of 2,530 news transcripts from Fox News and MSNBC that mention "Abortion" at least five times, spanning from January 1, 2009, to June 23, 2022. The original data were collected through Nexis Uni, and this dataset provides the preprocessed textual data and code used for Latent Dirichlet Allocation (LDA) topic modeling and Word Network Analysis (WNA). The analysis was conducted by dividing the data into two periods: before and after April 10, 2017 (marking a significant Supreme Court appointment), to examine potential shifts in narrative patterns.
description: This dataset contains only preprocessed data for analysis, not the original news transcripts due to copyright restrictions. The original transcripts can be accessed through a Nexis Uni subscription. The dataset includes R and Python code used for preprocessing, LDA topic modeling, and word network analysis. This dataset supports a manuscript currently under peer review. The publication details will be updated upon acceptance of the manuscript.
DOI: 10.7910/dvn/ctat6u
title: Tuberculosis Incidence in the United States, 1953-2015

description: Data from the Centers for Disease Control and Prevention on tuberculosis (TB) incidence in the United States from 1953 to 2015, including TB cases and case rates per 100,000 population.
DOI: 10.7910/dvn/euljpp
title: The responses of shoot and root N and P contents and plant biomass to N addition in a temperate steppe

description: We measured the variations of soil nutrient concentrations, plant nutrition, and plant biomass of each species to multi-level N addition in a temperate steppe
DOI: 10.21233/7vn7-xx81
title: LDDsite3765 ostracode surface sample dataset

description: Raw data for the LDDsite3765 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/yx1q-7g20
title: Windfall Pond diatom bottom sample dataset

description: Raw data for the Windfall Pond diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fssx-my06
title: Waccamaw River, Turkey Creek Oligohaline Marsh pollen dataset

description: Raw data for the Waccamaw River, Turkey Creek Oligohaline Marsh pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/ewho0o
title: Dataset on Physical Activity, Health Risk Factors, and Mental Wellbeing of University Students in ASEAN (Association of South East Asian Nations) University Network – Health Promotion Network

description: This dataset is part of the ASEAN University Network - Health Promotion Network (AUN-HPN) Physical Activity Study in 2021. It contains key health-risk behaviors, mental well-being, and the sociodemographic factors among 15,366 University students in seven ASEAN countries including Brunei, Indonesia, Malaysia, the Philippines, Vietnam, Singapore, and Thailand.
DOI: 10.7910/dvn/f1m71l
title: Replication Data for: How Immigration Policies Sustain Authoritarian Regimes: A Case of Saudi Arabia

description: In recent years, Saudi Arabia has been undergoing significant political reforms amid a society that relies heavily on migrant labor. The radical reforms implemented by Crown Prince and Prime Minister Muhammad bin Salman, commonly referred to as MbS, have markedly reshaped the traditional Saudi Arabian society, garnering considerable support, particularly among the younger generation. Nevertheless, many individuals may experience bewilderment in response to the rapid social transformation. This study examines the relationship between the preference among citizens for an economic structure underpinned by immigrant labor and their acceptance of the prime minister's political and social reforms. Despite the large immigrant population in Saudi Arabia, immigration is notably absent as a political issue; thus, this study formulates several hypotheses proposing that immigration serves not as a catalyst for political discontent but as a mechanism leveraged to construct an immigrant ethnocracy that stabilizes the authoritarian rule of MbS. To test these hypotheses, we estimate the Saudi public's support for MbS based on findings from our original survey research. We classify immigration policy preferences into three distinct societal groups: immigrant ethnocracy beneficiaries, traditional kinship-dependent groups that do not benefit from this arrangement, and socially vulnerable, left-behind groups. The results indicate that the kinship-dependent group, which is rooted in traditional values, exhibits the lowest support for MbS, while both the beneficiaries of immigrant ethnocracy and the vulnerable low-status job group demonstrate similarly high support. However, the three groups show distinct attitudes toward immigration policy, suggesting that immigrant ethnocracy has varied impacts on different social groups in Saudi Arabia.
description: Prof. Masaki Matsuo wrote this program code and edited the dataset.
DOI: 10.21233/rkh3-gk97
title: LDDsite1896 water chemistry dataset

description: Raw data for the LDDsite1896 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.