cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w3kfn73smj.2
title: Clinicopathological Features and Prognosis of Melanoma in Northeast China: a region-based cohort study of 229 consecutive cases

description: We collected demographic, clinicopathological, and treatment data of melanoma patients treated at the First Hospital of Jilin University between January 1, 2013, and September 1, 2019.
DOI: 10.17632/rr63bk8d72.1
title: Composition and ecology of an anuran taxocenosis at Itinguçu State Park, Peruíbe-SP – What has changed 30 years later?

description: Supplementary material - Table 1 – Species data collected on each monitoring day.
Supplementary material - Table 2 – Species recorded by environment category.
Supplementary material - Table 3 – Record number of anurans species collected in Itinguçu State Park, Peruíbe-SP between April 26, 2022, and February 10, 2023, and deposited in the Zoological Collection of the Herpetology Laboratory (LHERP) of the State University of São Paulo, São Vicente-SP (UNESP-CLP).
DOI: 10.17632/w7p3stdwk2.1
title: Composition and ecology of an anuran taxocenosis at Itinguçu State Park, Peruíbe-SP – What has changed 30 years later?

description: Supplementary material - Table 1 – Species data collected on each monitoring day.
Supplementary material - Table 2 – Species recorded by environment category.
Supplementary material - Table 3 – Record number of anurans species collected in Itinguçu State Park, Peruíbe-SP between April 26, 2022, and February 10, 2023, and deposited in the Zoological Collection of the Herpetology Laboratory (LHERP) of the State University of São Paulo, São Vicente-SP (UNESP-CLP).
DOI: 10.17632/w7p3stdwk2.2
title: Composition and ecology of an anuran taxocenosis at Itinguçu State Park, Peruíbe-SP – What has changed 30 years later?

description: Supplementary material - Table 1 – Species data collected on each monitoring day.
Supplementary material - Table 2 – Species recorded by environment category.
Supplementary material - Table 3 – Record number of anurans species collected in Itinguçu State Park, Peruíbe-SP between April 26, 2022, and February 10, 2023, and deposited in the Zoological Collection of the Herpetology Laboratory (LHERP) of the State University of São Paulo, São Vicente-SP (UNESP-CLP).
DOI: 10.17632/zcs2h5cb34.1
title: Hausa Annotated Dataset for Sentiment Analysis

description: Dataset for sentiment analysis for low resource languages.
DOI: 10.17632/c2fcz2kz9y.1
title: Hausa Lexicon Dataset 

description: Data were collected from Hausa Dictionary, translated to English and annotated with machine
DOI: 10.17632/c2fcz2kz9y.2
title: Hausa Lexicon Dataset 

description: Data were collected from Hausa/English Dictionary and annotated with machine
DOI: 10.17632/c2fcz2kz9y.3
title: Hausa Sentiment Analysis Dataset 

description: Data were collected from Hausa/English Dictionary and annotated manually
DOI: 10.17632/gn7tps8nj5.1
title: Enhancing Operational Management in the Municipal Treasurer's Office Pontevedra, Capiz: Strategies for Efficiency and Effectiveness

description: Enhancing Operational Management in the Municipal Treasurer's Office Pontevedra, Capiz: Strategies for Efficiency and Effectiveness
DOI: 10.17632/jk7n39zbxs.1
title: Polls_US2020_election

description: Data related to the polls published during the US2020 electoral campaign from September 1st to election day. One file is for the characteristics of the polls (niv1), the other for the characteristics of the pollsters and the methods they use.
DOI: 10.17632/wsk4xd5m62.1
title: Metacognitive measures in aMCI compared to HC: A cross-sectional study.

description: In this study, our objective was to delve deeper into the understanding of metacognition during the phase of Amnestic Mild Cognitive Impairment (aMCI) by utilizing online measures. Specifically, we evaluated both aMCI participants and healthy older adults based on their feelings of confidence and their decisions to either volunteer or withhold responses from their final score. Alongside these online measures, we also employed offline metacognitive measures to gauge participants' beliefs regarding their efficacy in handling everyday life situations and the use of cognitive strategies.
DOI: 10.17632/wsk4xd5m62.2
title: Metacognitive measures in aMCI compared to HC: A cross-sectional study.

description: In this study, our objective was to delve deeper into the understanding of metacognition during the phase of Amnestic Mild Cognitive Impairment (aMCI) by utilizing online measures. Specifically, we evaluated both aMCI participants and healthy older adults based on their feelings of confidence and their decisions to either volunteer or withhold responses from their final score. Alongside these online measures, we also employed offline metacognitive measures to gauge participants' beliefs regarding their efficacy in handling everyday life situations and the use of cognitive strategies.
DOI: 10.17632/td88mhw2sg.1
title: PyStructureFactor: A Python code for the molecular structure factor in tunneling ionization rates

description: Tunneling ionization is at the core of strong-field and attosecond science. In this paper, we present PyStructureFactor — a general Python code towards the calculation of the structure factor in the tunneling ionization rate of common molecules under intense laser fields. The numerical implementation is based on the well-developed weak-field asymptotic theory in the integral representation. The information of the electronic structure of the molecules is obtained via the PySCF quantum chemistry package. PyStructureFactor is a general computational framework that can be utilized to compute the molecular structure factor of various types of molecules, including polar and nonpolar diatomic molecules, degenerate molecules, and open-shell molecules. Examples are given that are benchmarked against known results with good agreements. The present PyStructureFactor is implemented in an efficient manner and is easily applicable towards larger molecules.
DOI: 10.17632/v7gbkz5t26.1
title: Banco de dados Usabilidade do PEC 2023

description: Estudo transversal com foco na análise de usabilidade do Prontuário Eletrônico do Cidadão, realizado na Atenção Primária à Saúde em Minas Gerais, Brasil. Participaram do estudo profissionais de enfermagem atuantes em sala de vacinação com o software implantado. Os dados foram coletados entre novembro de 2020 e março de 2021, por meio do acesso ao link de um formulário elaborado no Google Forms.  Utilizou-se o System Usability Scale (SUS) para medir a facilidade de aprendizagem, eficiência, facilidade de memorização, minimização dos erros e satisfação com a tecnologia. Foi calculado o valor do SUS score e classificada o nível de aceitação do software.
DOI: 10.5281/zenodo.8296630
title: Car-EWaves: Extreme waves in the Caribbean Sea from 1958 to 2017

description: Maximum monthly aggregate value of significant wave height for the Caribbean Sea from 1958 to 2017. The mean wave period, mean wave direction and the wind velocity (U10 and V10) related to the date of the maximum aggregation significant wave height value, are included in this dataset.
DOI: 10.5281/zenodo.8296629
title: Car-EWaves: Extreme waves in the Caribbean Sea from 1958 to 2017

description: Maximum monthly aggregate value of significant wave height for the Caribbean Sea from 1958 to 2017. The mean wave period, mean wave direction and the wind velocity (U10 and V10) related to the date of the maximum aggregation significant wave height value, are included in this dataset.
DOI: 10.6084/m9.figshare.24050314.v1
title: Differentially Private Methods for Releasing Results of Stability Analyses

description: Data stewards and analysts can promote transparent and trustworthy science and policy-making by facilitating assessments of the sensitivity of published results to alternate analysis choices. For example, researchers may want to assess whether the results change substantially when different subsets of data points (e.g., sets formed by demographic characteristics) are used in the analysis, or when different models (e.g., with or without log transformations) are estimated on the data. Releasing the results of such stability analyses leaks information about the data subjects. When the underlying data are confidential, the data stewards and analysts may seek to bound this information leakage. We present methods for stability analyses that can satisfy differential privacy, a definition of data confidentiality providing such bounds. We use regression modeling as the motivating example. The basic idea is to split the data into disjoint subsets, compute a measure summarizing the difference between the published and alternative analysis on each subset, aggregate these subset estimates, and add noise to the aggregated value to satisfy differential privacy. We illustrate the methods using regressions in which an analyst compares coefficient estimates for different groups in the data, and in which analysts fit two different models on the data.
DOI: 10.6084/m9.figshare.24050314
title: Differentially Private Methods for Releasing Results of Stability Analyses

description: Data stewards and analysts can promote transparent and trustworthy science and policy-making by facilitating assessments of the sensitivity of published results to alternate analysis choices. For example, researchers may want to assess whether the results change substantially when different subsets of data points (e.g., sets formed by demographic characteristics) are used in the analysis, or when different models (e.g., with or without log transformations) are estimated on the data. Releasing the results of such stability analyses leaks information about the data subjects. When the underlying data are confidential, the data stewards and analysts may seek to bound this information leakage. We present methods for stability analyses that can satisfy differential privacy, a definition of data confidentiality providing such bounds. We use regression modeling as the motivating example. The basic idea is to split the data into disjoint subsets, compute a measure summarizing the difference between the published and alternative analysis on each subset, aggregate these subset estimates, and add noise to the aggregated value to satisfy differential privacy. We illustrate the methods using regressions in which an analyst compares coefficient estimates for different groups in the data, and in which analysts fit two different models on the data.
DOI: 10.34740/kaggle/dsv/6383899
title: COVID Vaccination in World (updated daily)
DOI: 10.5063/f16t0k3z
title: The influence of shrub density on local vertebrate association across varying ecosystems

description: The following data are photo observations of vertebrate species across various ecosystems within Southern California.
DOI: 10.17632/xxhpfmvtwn.1
title: PAWA PLANT

description: The  present  Article  , a plant base Miccell (PBMC) has been proposed as a new electrical energy source to power low power consumption devices such as a transmitter. The PBMC constitutes of a power management system that is connected to Cu-Zn electrode pairs which are embedded into the leaves of the Aloe Vera plants.
 The proposed power management system can perform a fully autonomous operation to harvest the electrical energy from the Aloe Vera plants to trigger a transmitter load to send signal periodically to the temperature and humidity sensor. This has been confirmed by performing the experiment under a real-life condition. 
The designed power management circuit, which consists of an energy storage system and a voltage regulation system, can store the minute energy harvested from the Aloe Vera plants and boost them into sufficient energy to power a transmitter load. 
The transmitter load is proven to be in operation as it sends an intermittent signal to the receiver circuit to activate a remote sensor to measure the surrounding temperature and humidity. Thus, it is experimentally proven in this paper that Aloe Vera plants can be used as an energy source to provide electrical energy and its combination with the proposed power management circuit can act as a plant base cell.
 The idea of the proposed plant as a battery source can provide significant benefits in IoT application especially in remote areas or dense forest where replacing battery or recharging battery is impossible. The proposed cell can also be employed for precision farming and environmental monitoring where plants are available in abundant.
Proposes a design of a power management circuit that can harness, store and manage the electrical energy which is harvested from the leaves of (Aloe Vera) plants to trigger a transmitter load to power a remote sensor. In the present paper, we have proposed a power management circuit, which can harvest the electrical energy from the Aloe Vera plants and converts the plants into a plant-based cell (PBC) to activate a remote sensor via a wireless transmission.

The power management circuit consists of two sections namely; an energy storage system that acts as an energy storage reservoir to store the energy harvested from the plants as well as a voltage regulation system which is used to boost and manage the energy in accordance to a load operation.
DOI: 10.17632/4zv2rh892w.1
title: Gravity wave model

description: A 2-d gravity wave model as described in paper 'Rainfall enhancement downwind of hills due to standing waves on the melting-level and the extreme rainfall of December 2015 in the Lake District of northwest England'
DOI: 10.17632/pxxzdrfs8r.1
title: Raw DNA Methylation Data; Reese et al., 2023

description: In this study, we present a case of synchronous double pituitary prolactinomas in a 29-year-old female with suboptimal response of prolactin levels and tumor shrinkage associated with cabergoline intolerance. Raw cfDNA methylation intensity data files (*.idat) for 4 liquid biopsy (surgical and follow-up blood serum & plasma) and 4 FFPE collections from pituitary neuroendocrine tumors (PitNETs) and non-tumorous conditions.
DOI: 10.17632/d845w6tkv8.1
title: Replication Files for Original Sin and the Great Depression

description: Replication files for the article "Original Sin and the Great Depression" authored by Michael D. Bordo and Christopher M. Meissner. Appearing in the Journal of International Economics. All Figures and Tables for the paper are replicable using the zip file Meissner-Bordo-Original Sin and the Great Depression-replication file.zip.
DOI: 10.5281/zenodo.8217261
title: BINV-D-23-00094_Terrestrial_invertebrate_dataset

description: Datasets associated with paper published in Biological Invasions (manuscript ref: BINV-D-23-00094). Terrestrial soil surface invertebrate dataset describing pitfall trap invertebrate species richness, abundance and biomass and quadrat sampling arthropod biomass with associated environmental data to test the effects of non-native small mammal introductions on farmland hedgerow biodiversity throughout Ireland.
DOI: 10.5281/zenodo.8217260
title: BINV-D-23-00094_Terrestrial_invertebrate_dataset

description: Datasets associated with paper published in Biological Invasions (manuscript ref: BINV-D-23-00094). Terrestrial soil surface invertebrate dataset describing pitfall trap invertebrate species richness, abundance and biomass and quadrat sampling arthropod biomass with associated environmental data to test the effects of non-native small mammal introductions on farmland hedgerow biodiversity throughout Ireland.
DOI: 10.5281/zenodo.8297888
title: BINV-D-23-00094_Terrestrial_invertebrate_dataset

description: Datasets associated with paper published in Biological Invasions (manuscript ref: BINV-D-23-00094). Terrestrial soil surface invertebrate dataset describing pitfall trap invertebrate species richness, abundance and biomass and quadrat sampling arthropod biomass with associated environmental data to test the effects of non-native small mammal introductions on farmland hedgerow biodiversity throughout Ireland.
DOI: 10.17632/szz3j7kgc8.1
title: A new mechanism for mineralizing systems based on cnoidal wave instabilities

description: Data for "A new mechanism for mineralizing systems based on cnoidal wave instabilities"
DOI: 10.17632/xwv7bpp5rn.1
title: A dataset for determining the dependence of rice grain quality of 48 Japanese cultivars with varying heat tolerance on weather conditions during grain filling

description: Through a systematic literature search, a dataset of 1302 field observations of chalky grain covering 48 cultivars from five different heat tolerant ranks (HTRs) at 44 sites across Japan was created. The dataset also contains the meteorological variables during their grain filling period, such as the cumulative mean air temperature above 26 °C (TaHD), mean solar radiation, and mean relative humidity over 20 days after heading, calculated using the gridded daily meteorological dataset with a 1-km resolution developed by NARO.
DOI: 10.17632/k4g96spfgj.1
title: Development and Validation of a Tool to Predict High-Need, High-Cost Patients Hospitalized with Ischemic Heart Disease

description: Objective: To develop and validate a tool to predict patients with ischemic heart disease (IHD) at-risk of excessive healthcare resource utilization. 

Design: A retrospective cohort study

Setting: We identified patients through the State of Florida Agency for Health Care Administration (AHCA) (N=586,518) inpatient dataset. 

Participants: Adult patients (at least 40 years of age) admitted to the hospital with a diagnosis of ischemic heart disease between January 1, 2007 to December 31, 2016.
Primary Outcome Measures: We identified patients whose healthcare utilization is higher than presumed (analysis of residuals) and used logistic regression (binary and multinomial) in estimating the predictive models to classify individuals as high-need, high-care (HNHC) patients relative to inpatient visits (frequency of hospitalization), cost and hospital length of stay (LOS). Discrimination power, prediction accuracy, and model improvement for the binary logistic model were assessed using Receiver Operating Characteristic (ROC) statistic, the Brier score, and the log-likelihood (LL)-based pseudo R2, respectively. LL-based-pseudo R2 and Brier score were utilized for multinomial logistic models. 

Results: The binary logistic model had good discrimination power (c-statistic =0.6496), an accuracy of probabilistic predictions (Brier Score) of 0.0621, and an LL-based-pseudo R2 of 0.0338 in the development cohort. The model performed similarly in the validation cohort (c-statistic =0.6480), an accuracy of probabilistic predictions (Brier Score) of 0.0620, and an LL-based-pseudo R2 of 0.0380. A user-friendly Excel-based HNHC risk predictive tool was developed and readily available for clinicians and policy decision-makers.

Conclusions: The Excel-based HNHC risk predictive tool can accurately identify at-risk patients for HNHC based on three measures of healthcare expenditures.
DOI: 10.17632/tycj43cfnk.1
title: Whataspp Effectiveness measure

description: This dataset captures valuable information about student engagement, belonging, and interaction within university settings through WhatsApp groups. The data aims to shed light on the impact of digital communication platforms on students' academic experiences, social integration, and overall well-being. The dataset is organized into several tables, each providing specific insights into different aspects of student engagement and participation.
The data was collected from 2022 first entering students after a period of time interacting on whatsapp.
DOI: 10.17632/tycj43cfnk.2
title: WhatsApp Effectiveness measure

description: This dataset captures valuable information about student engagement, belonging, and interaction within university settings through WhatsApp groups. The data aims to shed light on the impact of digital communication platforms on students' academic experiences, social integration, and overall well-being. The dataset is organized into several tables, each providing specific insights into different aspects of student engagement and participation.
The data was collected from 2022 first entering students after a period of time interacting on whatsapp.
DOI: 10.17632/xnc4yh4w72.2
title: Data for: Industry bubbles and unexpected consumption shocks: A cross-sectional explanation of stock returns under recursive preferences

description: We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchange. We use the filters suggested by Griffin et al. (2010) for Datastream series to exclude special purpose vehicles from data. Consequently, our sample comprises 3,866 stocks. We compile all macroeconomic series from the OECD Statistics section.

Our dataset comprise the following series:

1 Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology.
2 Japan_25_Portfolios_MV_DY_M: Monthly returns for 25 size-dividend yield portfolios, following the Fama and French (1993) methodology.
3 Japan_25_Portfolios_MV_PC_M: Monthly returns for 25 size-price-to-cash flow portfolios, following the Fama and French (1993) methodology.
4 Japan_3 Factors_M: Monthly returns for the portfolios that constitute the three classic Fama-French factors (RMRF, SMB and HML), following the Fama and French (1993) methodology.
5 Japan_5 Factors_M: Monthly returns for the portfolios that constitute the five Fama-French factors (RMRF, SMB, HML, RMW and CMA), following the Fama and French (2015) methodology.
6 Japan_RF_M: Three-month Treasury Bill rate for Japan.
7 Japan_C_Q: Private final consumption expenditure, in national currency and constant prices for Japan.
8 Japan_IK_Q: Investment-capital ratio, following the Cochrane (1991) methodology. We use gross capital formation series for Japan, in national currency, seasonally adjusted. We assume a depreciation rate of 0.1 and no adjustment cost.
9 Japan_DY_ConstrTech_M: Value-weighted dividend yield portfolios for Japanese firms in construction and technology industries, as proxied by two-digit SIC codes 15-17 and 36-48, respectively.
10 Japan_Bubbles_Q: Variation rates of construction and technology bubbles in Japan, as determined by a parameterized version of the bubble term in the Campbell and Shiller (1988) return identity, using the investment-capital ratio as an instrument.
11 Japan_Errors_Q: Residuals that result from the regression of consumption growth on the variation rate of construction and technology bubbles and the lagged consumption growth.

REFERENCES:
Campbell, J. Y., and Shiller, R. J. (1988). The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors, The Review of Financial Studies, 1, 195-228.
Cochrane, J. H. (1991). Production-Based Asset Pricing and the Link Between Stock Returns and Economic Fluctuations, The Journal of Finance, 46, 209-237.
Fama, E. F. and French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds, Journal of Financial Economics, 33, 3–56.
Fama, E. F. and French, K. R. (2015). A Five-Factor Asset Pricing Model, Journal of Financial Economics, 116, 1-22.
Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets, Review of Financial Studies, 23, 3225–3277.