cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kf7m8gn8vp
title: FlexibleSUSY extended to automatically compute physical quantities in any beyond the standard model theory: Charged lepton flavor violation processes, Higgs decays, and user-defined observables

description: FlexibleSUSY is a framework for the automated computation of physical quantities (observables) in models beyond the Standard Model (BSM). This paper describes an extension of FlexibleSUSY which allows to define and add new observables that can be enabled and computed in applicable user-defined BSM models. The extension has already been used to include Charged Lepton Flavor Violation (CLFV) observables, but further observables can now be added straightforwardly. The paper is split into two parts. The first part is non-technical and describes from the user's perspective how to enable the calculation of predefined observables, in particular CLFV observables. The second part of the paper explains how to define new observables such that their automatic computation in any applicable BSM model becomes possible. A key ingredient is the new NPointFunctions extension which allows to use tree-level and loop calculations in the model-independent setup of observables. Three examples of increasing complexity are fully worked out. This illustrates the features and provides code snippets that may be used as a starting point for implementation of further observables.
DOI: 10.17632/nry95z8h43
title: Data for: Land-based dissolved organic nitrogen dynamics and bioavailability in Jiaozhou Bay, China

description: TDN and DOC were determined by a TOC/TN auto-analyzer (Multi N/C 3100, Jena, Germany) through high-temperature catalytic oxidation (Vance et al., 1989). DIN (including NH4+, NO3-, and NO2-) was determined by autonomous nutrient analyzer (Bran-Lubbe AAⅢ，Germany) through spectrophotometry (Strickland and Parsons, 1972). DON was calculated as the difference between TDN and DIN. An ultraviolet visible spectrophotometer (Shimadzu UV-2550, Japan) was used for the determination of SUVA254. SUVA254 was calculated using the decadic light absorption coefficient at 254 nm (1/m) normalized to DOC (mgC/L) and used as a proxy for aromaticity (Weishaar et al., 2003). The emission–excitation matrix (EEM) spectra for FDOM were determined using a Fluorolog-3 fluorescence spectrophotometer (F4500, France) and a one-centimeter acid-washed quartz cuvette (Spencer et al. 2007). The fluorescence spectra were Raman calibrated by normalizing to the area under the Raman scatter peak (excitation wavelength of 350 nm) of a Milli-Q water sample in Raman units (R.U., nm-1) (Stedmon et al., 2003). The humification index (HIX) was calculated by the ratio of the peak area under the Em spectra 435-480 nm divided by 300-345 nm, at Ex 254 nm (Fellman et al., 2010).
DOI: 10.17632/kkytmzcwyr
title: Empatia y variables asociadas estudiantes primer semestre enfermería

description: Se realizó una encuesta de datos socioeconómicos a estudiantes de primer semestre del programa de Enfermería de la Universidad Cooperativa de Colombia UCC cuya finalidad era correlacionarla con los resultados del test de empatía EQ ( the EQ test Baron-Cohen and Wheelwright). Las hipótesis planteadas estaban enfocadas a determinar que no habian relaciones directas entre las variables Sexo, Edad y Condición económica que determinara los valores de empatía.  El fortalecimiento y desarrollo de esta competencia esta asociada a la plasticidad cerebral de los jovenes estudiantes en sus primeros semestres de formación, por lo que se recomiendan  estrategias pedagógicas enfocadas hacia la consolidación del perfil del enfermero o profesional del área de la salud.
DOI: 10.17632/wv94fj59t4
title: Data for: Nuclear hazard and asset prices: Implications of nuclear disasters in the cross-sectional behavior of stock returns

description: Using all stocks listed on the Japanese equity market and macroeconomic data for Japan, the dataset comprises the following series: 1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database) 2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database) 3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database) 4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database) 5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database) 6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News) 7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News) 8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD) 9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database) 10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database) We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks. REFERENCES: 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.
DOI: 10.17632/cdv7kc536r
title: MOLED: Simulation of multilayer organic light emitting diodes

description: Abstract MOLED solves the dynamics of electrons and holes in multilayer Organic Light Emitting Diodes (OLED). The carriers are injected on the positive and negative electrodes of the device by tunneling through a potential barrier. Thermal excitation processes across the barrier are also included. In the interior of the device the electron–hole recombination occurs when the two carriers are close enough, according to a model inspired from the one of Langevin. A fraction of these recombined pairs gives... Title of program: MOLED Catalogue Id: ADSG_v1_0 Nature of problem Injection of electrons and holes into an organic electroluminescent material occurs through tunneling from metal electrodes. The transport of carriers inside the molecular medium proceeds by hopping from one molecule to another. The emission of light is a result of their radiative Langevin recombination. Versions of this program held in the CPC repository in Mendeley Data ADSG_v1_0; MOLED; 10.1016/S0010-4655(03)00435-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.19802110.v1
title: Supplementary Material for: Mixed Evidence of an Association between Self-Rated Hearing Difficulties and Falls: Prospective Analysis of Two Longitudinal Studies

description: <b><i>Introduction:</i></b> This study aimed to assess the extent to which a single item of self-reported hearing difficulties is associated with future risk of falling among community-dwelling older adults. <b><i>Methods:</i></b> We used data from two Australian population-based cohorts: three waves from the PATH Through Life study (PATH; <i>n</i> = 2,048, 51% men, age 66.5 ± 1.5 SD years) and three waves from the Concord Health and Ageing in Men Project (CHAMP; <i>n</i> = 1,448, 100% men with mean age 77.3 ± 5.3 SD years). Hearing difficulties were recorded on a four-point ordinal scale in PATH and on a dichotomous scale in CHAMP. The number of falls in the past 12 months was reported at each wave in both studies. In CHAMP, incident falls were also ascertained by triannual telephone call cycles for up to four years. Multivariable-adjusted random intercept negative binomial regression models were used to estimate the association between self-reported hearing difficulties and number of falls reported at the following wave or 4-monthly follow-ups. <b><i>Results:</i></b> In PATH, self-reported hearing difficulties were associated with a higher rate of falls at follow-up (incidence rate ratio = 1.15, 95% CI = 1.03–1.27 per a one-level increase in self-reported hearing difficulties), after adjusting for sociodemographic characteristics, health behaviours, physical functioning, balance, mental health, medical conditions, and medications. There were no significant associations between hearing difficulties and the rate of falls based on either repeated survey or 4-monthly follow-ups in CHAMP. <b><i>Conclusion:</i></b> Though we find mixed results, findings from PATH data indicate an ordinal measure of self-reported hearing loss may be predictive of falls incidence in young-old adults. However, the null findings in the male-only CHAMP preclude firm conclusions of a link between hearing loss and falls risk.
DOI: 10.6084/m9.figshare.12058068.v1
title: Supplementary Material for: Predictors of Outcomes in Hypoxic-Ischemic Encephalopathy following Hypothermia: A Meta-Analysis

description: <b><i>Introduction:</i></b> Prediction of neurodevelopmental outcome in infants with hypoxic-ischemic encephalopathy remains an important challenge. Various studies have shown that the predictive ability of different modalities changed after the introduction of therapeutic hypothermia. This paper reviews the diagnostic test accuracy of the different modalities that are being used to predict neurodevelopmental outcomes following therapeutic hypothermia. <b><i>Methods:</i></b> A systematic literature search was performed using Embase and PubMed. Two reviewers independently included eligible studies and extracted data. The quality of the studies was assessed using the Quality in Prognosis Studies Tool. Meta-analyses were performed where possible. <b><i>Results:</i></b> Forty-seven articles and 3 conference abstracts were included, reporting on 3,072<i></i>infants of whom 39% died or had an adverse neurodevelopmental outcome. A meta-analysis could be performed using 37 articles on (amplitude-integrated) electroencephalography (EEG), conventional magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and proton magnetic resonance spectroscopy (<sup>1</sup>H-MRS). Amplitude-integrated EEG (aEEG) at 24 and 72 h showed similar high diagnostic OR, while aEEG at 6 h and EEG performed less, both due to a low specificity. For MRI, most studies reported scoring systems in which early (&lt;8 days) MRI performed better than late (≥8 days) MRI. Injury to the posterior limb of the internal capsule on MRI or to the thalami on DWI were strong individual predictors, as was an increased lactate/N-acetylaspartate peak on <sup>1</sup>H-MRS. <b><i>Conclusions:</i></b> In the era of therapeutic hypothermia, the different modalities remain good predictors of neurodevelopmental outcome. However, timing should be taken into account. aEEG may initially be false positive and gets more reliable after 24 h. In contrast, MRI should be used during the first week, as its predictive value decreases afterwards.
DOI: 10.17632/4y3g4cvhjd
title: From Sunbeds to Sunscreen: A Curriculum Empowering Oregon Adolescents to Take Charge of Their Skin Health

description: Background: Early intervention is key to early detection and reduction of melanoma morbidity and mortality. Oregon currently has no formal statewide, high school-based educational curriculum addressing prevention and early detection of melanoma. 

Objective: To design and test the effects of a multimedia high-school education curriculum on knowledge, attitudes, and intentions correlated with melanoma primary prevention behaviors and early detection. 

Methods: A 50-minute curriculum was designed using evidence-based learning theories. Students received pre- and post-surveys to measure knowledge, attitudes, and behavioral change intention. Data was collected and analyzed from 162 students during 2020-2021 and 531 students in 2021-22. 

Results: Students demonstrated significant improvement in their knowledge of melanoma and sun safety in both phases of curriculum implementation. Significant increases in attitudes and confidence in performing sun-safe behaviors were also found. 

Conclusion: Our curriculum intervention successfully improved knowledge, attitudes, and intentions around melanoma and sun safety among high school students across Oregon.
DOI: 10.17632/h7tw34zmrg
title: Mechanically robust superhydrophobic copper surface with self-cleaning, anti-icing, and corrosion resistance

description: This paper uses a new method combining nanosecond laser processing technology and sol-gel to design and manufacture mechanically robust micro-nano structure and modified SiO2@PDMS coating on copper substrate. The superhydrophobic composite surface was successfully synthesized with a water contact angle of 159.5° and a sliding angle of 0.5°. The characterization of the prepared superhydrophobic surface #3 (laser-textured@SiO2@PDMS protective layer) was studied by optical profilometry, scanning electron microscopy, FT-IR spectroscopy, and X-ray photoelectron spectroscopy. The composite structure of micron/nano and organic/inorganic 3D interwoven network can be observed to improve the hydrophobic, wear-resistant, and compressive properties of the substrate surface. FT-IR spectra fully indicate the presence of PDMS and -Si (CH3) grafted onto SiO2 particles on the copper surface, and the presence of Si-O and Si-C detected by XPS fully proves the FT-IR results. In addition, self-cleaning, wear resistance, anti-icing, corrosion resistance, and NaCl deliquescence behavior were evaluated. The results show that surface #3 can efficiently remove contaminants within 200 s. In the anti-icing experiment, the delayed icing time and ice adhesion strength of surface #3 are 3.33 times and 1.99% of that of the ordinary copper surface, respectively, which can make the icicle slide easily. In the electrochemical test, the corrosion current density decreased by an order of magnitude, and the corrosion inhibition efficiency reached 90.57%. Based on its excellent self-cleaning, mechanical robustness, anti-icing, and anti-corrosion properties, we believe that the composite modified surface of the laser-textured@SiO2@PDMS protective layer designed and manufactured in this study is expected to be used in engineering fields such as refrigeration heat exchangers.
DOI: 10.60893/figshare.jcp.26956042.v1
title: Supplement Number 1

description: dissociation limits and Franck - Condon factor are listed here
DOI: 10.17632/fydxshd38j
title: Satisfaction with Work in the Public and Private Sector in Russia (2002-2021)

description: The tables serve as illustration to the results in the paper 'Not by Bread alone: Satisfaction with Work in the Public and Private Sector'.
Data contain estimates of public-private gap in job satisfaction in Russia over the period 2002-2021. Panel data fixed effects model is employed on the sample of 18 thou. individual and subsamples by gender, educational level (primary, secondary, higher), age groups (17-34, 35-44, 45-54, 55-69 years old) and city size (below 100 thou. people, 100-250, 250-500, over 500 thou. people). The data set is received from the Russia Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) (https://www.hse.ru/en/rlms/). The estimates are in App. 3, Tables 1-14. Tables 1 - 3 of App. 2 present a descriptive statistics on public-private differences in working conditions and human capital characteristics. App. 1 presents an example of transformation applied to the ordered data to use a linear regression analysis. All materials are in Russian.
DOI: 10.17632/k74shn6zyb
title: Dataset for Detecting Anthracnose in Hog Plum and Bottle Gourd Leaves.

description: Tittle: Agricultural Disease Management: Dataset for Detecting Anthracnose in Hog Plum and Bottle Gourd Leaves.
In this dataset, a total of 4883 leaf samples were collected from two crop species—hog plum (Spondias mombin) and bottle gourd (Lagenaria siceraria)—sourced from various locations in Bangladesh, including agricultural fields, grocery stores, and other sources. The leaves were carefully documented and categorized into healthy and diseased groups to create a comprehensive dataset for accurate classification of anthracnose. The distribution of leaf samples is as follows:
Bottle Gourd: 15603 samples
 Original: 3323 samples
Healthy Leaves: 915 samples
Diseased Leaves: 1720 samples
Extreme Diseased Leaves: 688 samples
 Augmented: 12280 samples
 Healthy Leaves: 3659 samples
Diseased Leaves: 5718 samples
Extreme Diseased Leaves: 2903 samples

Collection Sites: 1,833 samples from Ashulia Model Town, Ashulia, Dhaka, Bangladesh, and 1,500 from Baroghoria, Chapai Nawabganj, Rajshahi, Bangladesh.

Hog Plum: 8302 samples
 Original: 1560 samples
Healthy Leaves: 545 samples
Diseased Leaves: 798 samples
Torn Diseased Leaves: 217 samples
 Augmented: 6742 samples
 Healthy Leaves: 2397 samples
Diseased Leaves: 3313 samples
Torn Diseased Leaves: 1032 samples

Collection Site: Ashulia Model Town, Ashulia, Dhaka, Bangladesh.

Purpose
The Dataset of Anthracnose in Hog Plum and Bottle Gourd Leaves serves a critical role in deep learning applications, particularly in image classification for automatic disease detection. It can be used to train models like Convolutional Neural Networks (CNNs) to identify and classify anthracnose based on visual features such as leaf shape, color, and texture. This dataset is useful in areas like agricultural supply chain automation, real-time disease identification in farming settings, and crop quality control. Additionally, it can be integrated with environmental data (e.g., temperature, humidity, rainfall) to enhance predictive models that forecast disease risks under varying climatic conditions. Ultimately, this dataset helps advance machine learning models for automated disease detection, crop health monitoring, and agricultural productivity improvements, making a significant impact on the agriculture industry and beyond.
DOI: 10.15468/dl.enhrcr
title: Occurrence Download

description: A dataset containing 2881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens balsamina L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 2881 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009191-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4r7mtm9gdh
title: Spatial region-resolved proteome map reveals mechanism of COVID-19-associated heart injury. Leng et al.

description: This dataset contains five supplemental tables and one supplemental video from the manuscript by Leng et al. "Spatial region-resolved proteome map reveals mechanism of COVID-19-associated heart injury".
Table S1. Overview of the characteristics of patients diagnosed with COVID-19 involved in the study, related to Figure 1.
Table S2. Overview of the characteristics of control samples involved in the study, related to Figure 1.
Table S3. All protein identified in COVID-19 and control heart tissue samples based on anatomy structure of four regions, related to Figure 1.
Table S4. All protein identified in region-resolved myocardia from COVID-19 and control heart tissue samples by laser microdissection technology, related to Figure 2 and Figure S3.
Table S5. All protein identified in region-resolved microvessels from COVID-19 and non-COVID-19 heart tissue samples by laser microdissection technology, related to Figure 2 and Figure S5.
VideoS1. Laser-capture microdissection of heart samples, related to Figure 2.
DOI: 10.6084/m9.figshare.25000298.v1
title: SuppData5.xlsx

description: Supplementary Data
DOI: 10.6084/m9.figshare.28466450.v1
title: A nation-wide urban trial network of tree and shrub climate resilience.

description: Relative growth rate and leaf damage of 11 standardised plantings of tree and/or shrub species testing species’ growth and performance. Growth metrics included total tree or shrub height (cm) and diameter at the stem base (~10 cm above the ground; cm) only for trees. Height and canopy width were measured with a measuring tape (cm), and diameter was measured with a RS PRO 150 mm digital calliper (0.01 mm). Stress was measured as percentage of leaf damage (i.e., any evidence of leaf browning/yellowing or necrosis). Leaf damage was assessed visually for each individual plant and classified in four categories ranging from low to severe damage or dead individuals following Esperon-Rodriguez et al. (2021) (Table 2). Baseline data were collected at each site one month after planting and then again at the end of the summer in March 2024 after three to six years after planting.<br>To use this database, please cite: Rodriguez ME, Power SA, Tjoelker MG, Sharmin M, Rymer PD. 2025. A nation-wide urban trial network of tree and shrub climate resilience. Urban Forestry & Urban Greening. 105:128720. https://doi.org/10.1016/j.ufug.2025.128720<br>
DOI: 10.17632/tvfpcdsnrb
title: Data from Earthquakes with Magnitude M≥4.0 from the AFAD (Disaster and Emergency Management Presidency) Disaster Period Earthquake Catalogue System

description: This Data from earthquakes with magnitude M≥4.0 from the AFAD (Disaster and Emergency Management Presidency) Disaster Period Earthquake Catalogue system were used. (Link to the source from which the data was taken: https://deprem.afad.gov.tr/event-instrumental). This data set includes parameters such as latitude, longitude, depth, date of the earthquake, earthquake magnitude and location of the earthquake.
DOI: 10.6084/m9.figshare.21215711.v1
title: pea plants movement trajectories

description: The dataset is composed of csv. files, which is 3D coordinates of individual pea plant movement trajectories in the presence/absence of the support. File name "P" & "S" Files start with "P" are the plants grow in absence of the support; files start with "S" are the plants grow with the presence of the support. <br> File number There are 32 plants in total. 19 plants are the plants grow in absence of the support, 13 are the plants grow with the presence of the support. The number of the file such as "01", is the number of the individuals. <br> File name "tendrils", "wrist" Different anatomical landmarks are also included here, they are tendrils (named as "tendrils" in the files) and the node of the tendrils (names as "wrist" in the files).
DOI: 10.6084/m9.figshare.14458926.v1
title: Supplementary Material for: Brain transcriptome responses to dexamethasone depending on dose and sex reveal factors contributing to sex-specific vulnerability to stress-induced disorders

description: Medicine
DOI: 10.17632/gc9g2g53kr
title: LC PMET SEV

description: LONG COVID PLASMA MET
DOI: 10.17632/23yrzbzr3m
title: Optimized airfoils based on different flight missions

description: Optimization results of the 216 airfoil design problems in Paper: On Deep-learning-based Geometric Filtering in Aerodynamic Shape Optimization.