cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wh8ykt7mbb
title: TIA algorithm data and code (V3.0)

description: Floating car DatA in an area of the Gulou Zone in Fuzhou, China. The area is the core center of Fuzhou and is densely populated. Floating car trajectories were collected from May 5th, 2018 and the data contain 6,402,027 GPS sample points of 7073 taxes (Dataset, 2020). The trajectories comprise from 10s to 60s sample points with an average sample rate of 20s.
DOI: 10.6084/m9.figshare.14571657.v1
title: Supplementary Material for: Prevalence of Polypharmacy and Risks of Potentially Inappropriate Medication Use in the Older Population in a Developing Country: A Systematic Review and Meta-Analysis

description: <b><i>Background and Aim:</i></b> Polypharmacy and potentially inappropriate medication (PIM) use in older populations (65+ years) have not yet been investigated by meta-analyses in developing countries. This systematic literature review and meta-analysis aimed to investigate the prevalence of polypharmacy and PIM use and major risk factors associated with PIM prescribing in older adults in Ethiopia. <b><i>Methods:</i></b> We searched PubMed/MEDLINE, Scopus, Embase, and Google Scholar databases to identify relevant studies published between January 1990 and October 2020. Observational studies reporting the prevalence and association of risk factors with polypharmacy and PIM use in the older population were meta-analyzed. A multilevel meta-analysis was conducted to pool the prevalence estimates, and the risk of PIM use was reported as a relative risk (RR) with a 95% confidence interval (CI). <b><i>Results:</i></b> We identified by systematic literature review 404 articles. Of those, 8 studies fulfilled inclusion criteria, comprising a total sample of 2,608 participants. The overall prevalence of polypharmacy and PIM use pooled by meta-analysis in the Ethiopian older population was 33 and 37%, respectively. The risk factors of PIM use were analyzed in the meta-analysis (particularly polymorbidity, polypharmacy, gender, and older age), and only older age of 65+ (RR: 1.71, 95% CI: 1.16–2.51) was significantly associated with PIM use. <b><i>Conclusion:</i></b> This first meta-analysis from a developing country revealed a high prevalence of polypharmacy and PIM use in the Ethiopian older population. There was no awareness about the risk of PIMs in patients with polypharmacy and polymorbidity, and older age significantly predicted PIM use. Interventions ensuring rational geriatric pharmacotherapy are essential in developing countries in order to reduce the expected burden of PIM-related geriatric morbidity, higher costs, and mortality.
DOI: 10.6084/m9.figshare.20485743.v1
title: P_S_arrival_time_in_the_Southern_Sichuan_Basin

description: Original P- and S-wave arrival time data for the double-difference tomography study in the Weiyuan-Changning region. <br>
DOI: 10.17632/yb3gzg64d9
title: Python script for extracting data set

description: A big data for Arabic Language and Artificial Intelligence Applications.
DOI: 10.17632/f3wwn37gtc
title: Reasearch data and supplementary papers

description: Reasearch data and supplementary papers
DOI: 10.17632/7wdptvsgwx
title: Surowe dane z badań nad wykorzystaniem danych behawioralnych w systemie e-commerce do predykcji zachowań klientów i stworzenia mechanizmów preloading danych

description: Zbiór zawiera surowe dane na podstawie których prowadzono badanie dotyczące wykorzystania danych behawioralnych w systemie e-commerce AtomStore, do predykcji zachowań klientów i stworzenia mechanizmów preloading danych.

Badania zostały przeprowadzone przez zespół programistów AtomStore w ramach prac nad nową wersją frontendu. Zespół zweryfikował, czy na podstawie treści wyświetlanych wcześniej przez klienta na platformie e-commerce możliwe będzie przewidzenie jego kolejnych ruchów na stronie internetowej sklepu. Wykorzystano metodę klasyfikacji k-nearest neighbors (k-NN) oraz różne metryki odległości w celu określenia najbardziej prawdopodobnych kolejnych ruchów użytkowników na podstawie 3–4 wcześniejszych odsłon stron. Zbudowanie algorytmu przewidującego z dużym prawdopodobieństwem dalsze zachowanie klienta, pozwoliło na zaimplementowanie mechanizmu preloadingu danych bazujących na predykcji zachowań w obrębie platformy e-commerce AtomStore. Wyniki wskazują, że zastosowanie odpowiednich metryk oraz wag dla typów widoków pozwala na skuteczne przewidywanie kolejnych działań użytkownika, co znacząco skraca czas ładowania stron i poprawia doświadczenie użytkownika. Najlepsze wyniki osiągnięto dla metryk M1 i M2c, co sugeruje ich potencjał w zastosowaniach e-commerce.
DOI: 10.15468/dl.nvatz3
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Odiellus spinosus (Bosc, 1792)"
 ]
}

 The dataset includes 88 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009082-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.21391584.v2
title: TPAML.xlsx

description: Original data collectionin xlsx format This is a collection containing all scripts, data sets and descriptors related to the paper of machine learning entitled " <strong>Interpretable Machine Learning of Two-Photon Absorption</strong>".
DOI: 10.17632/rpxrrxr5kz
title: Consider demand response and power-sharing source-storage-load three-level game models

description: In this work, we establish a dual master-slave game model with SESS, IES, and APs as the main subjects. Second, based on the Nash negotiation theory and considering the sharing of electric energy among prosumers, the APs model is equated into two sub-problems of coalition cost minimization and cooperative benefit distribution to ensure that the coalition members distribute the cooperative benefits equitably. Further, the Stackelberg-Stackelberg-Nash three-layer game model is established, and the dichotomous distributed optimization algorithm combined with the alternating direction multiplier method (ADMM) is used to solve this three-layer game model.
DOI: 10.17632/p32vrn9dtz
title: Dataset on the Digital Leadership, Artificial Intelligence and Accounting Profession.

description: VALUE OF THE DATA
• The data provides valuable insights into how AI impacts accounting, helping optimize resources and boost competitiveness.
• Other researchers can use the data to investigate AI adoption and its effects on financial management.
• Researchers can compare the dataset with others globally for cross-cultural insights into AI adoption in accounting.
• The dataset supports evaluation of digital leadership strategies' effectiveness in enhancing AI adoption.
DOI: 10.17632/x5jrx4smdz
title: Sustainability in fashion retail

description: This dataset contains the selected articles that were analyzed in the systematic literature review.
DOI: 10.17632/j7n2rrxrkc
title: Data for: Sarcoidosis of the central nervous system: safety and efficacy of treatment, and experience of biological therapies

description: Study of a large cohort of neurosarcoidosis and description of treatment and treatment outcome
DOI: 10.17632/ztjhhgfpgp
title: Replication data for: Research Deserts and Oases: Evidence from 27 Thousand Economics Journal Articles on Africa

description: Replication data with instructions for the paper "Research Deserts and Oases: Evidence from 27 Thousand Economics Journal Articles on Africa" by Obie Porteous (Oxford Bulletin of Economics and Statistics, 2022).
DOI: 10.6084/m9.figshare.25906444.v1
title: study of Bolbitis sinensis species complex

description: Identifying species and clarifying phylogenetic relationships are the fundamental goals of species delimitation. However, it is often challenging and controversial about how to delimit species based on morphologies, geographic distribution, as well as genome information. Previously, two new species of pantropical fern genus Bolbitis, Bolbitis multipinna and B. longiaurita, were published mainly based on their morphological characters, which are morphologically close and sympatric with Bolbitis sinensis. Furthermore, these three species were phylogenetically nested with each other and cannot form monophyletic branches separately. To resolve the ambiguous relationships among Bolbitis sinensis species complex, we performed RAD sequencing in 65 individuals from five populations of B. sinensis species complex.
DOI: 10.6084/m9.figshare.2009586.v7
title: Spatio-temporal Series Teaching Data Subsets

description: This includes teaching data subsets that contains spatio-temporal data for the National Ecological Observatory Network's Harvard Forest and San Joaquin Experimental Range (SJER) field sites.CONTENTS:NEON-DS-Met-Time-Series-HARV.zip: Precipitation, temperature and other variables collected from a flux tower at the NEON Harvard Forest site. NOTE: these data are not collected from the NEON tower. NEON-DS-Site-Layout-Files-HARV.zip: A set of shapefiles for the NEON's Harvard Forest field site and US and (some) state boundary layers.NEON-DS-Landsat-NDVI-HARV-SJER.zip: 2011 NDVI data product provided by USGS cropped to NEON's Harvard Forest and San Joaquin Experimental Range field sites.NEON-DS-Airborne-RemoteSensing-HARV-SJER.zip: LiDAR data including a canopy height model, digital elevation model and digital surface model for NEON's Harvard Forest and San Joaquin Experimental Range field sites.
DOI: 10.6084/m9.figshare.24223936.v1
title: Meteorological data (2017-2021).xlsx

description: Meteorological data
DOI: 10.5281/zenodo.15313318
title: Sensitivity of Dynamically Downscaled Hydroclimate Projections Over Puerto Rico to the Parameterization of Dust Emissions and Transport in WRF-Chem

description: Hydroclimate variables were downscaled over Puerto Rico using the Weather Research and Forecasting (WRF) model (Skamarock & Klemp, 2008), version 3.8. Data were downscaled for three time periods: a historical period between 1 January 2013 to 31 December 2018, a mid-21st century period between 1 January 2044 and 31 December 2049, and an end-21st century period between 1 January 2084 and 31 December 2089. 

The mid- and end-21st century simulations were forced with output from the CMIP5 Community Earth System Model version 1 (CESM1) RCP8.5 scenario (Monaghan et al., 2014).  The historical simulation was forced with initial and boundary conditions from the ERA5 reanalysis (Hersbach et al., 2020) to maintain parallelism with the pre-processed CESM output, which was bias-corrected against the now-deprecated ERA-Interim (Monaghan et al., 2014).

Fore each simulation period, two sets of simulations were conducted: one scenario in which dust is allowed to perturb the large-scale circulations over the tropical North Atlantic (these files include the "_dust" tag in the respective file name) and a second scenario with all atmospheric chemistry, including dust effects, turned off.  For the dust-on simulations, dust emissions were parameterized using the GOCART model (Ginoux et al., 2001) with Air Force Weather Agency modifications (GOCART-AFWA) (LeGrand et al., 2019).

 

Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O., & Lin, S.-J. (2001). Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research: Atmospheres, 106(D17), 20255–20273. https://doi.org/10.1029/2000JD000053

Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

LeGrand, S. L., Polashenski, C., Letcher, T. W., Creighton, G. A., Peckham, S. E., & Cetola, J. D. (2019). The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1. Geoscientific Model Development, 12(1), 131–166. https://doi.org/10.5194/gmd-12-131-2019

Monaghan, A., Steinhoff, D., Bruyere, C., & Yates, D. (2014). NCAR CESM Global Bias-Corrected CMIP5 Output to Support WRF/MPAS Research [Data set]. UCAR/NCAR - Research Data Archive. https://doi.org/10.5065/D6DJ5CN4

Skamarock, W. C., & Klemp, J. B. (2008). A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. Journal of Computational Physics, 227(7), 3465–3485.
DOI: 10.5281/zenodo.15313319
title: Sensitivity of Dynamically Downscaled Hydroclimate Projections Over Puerto Rico to the Parameterization of Dust Emissions and Transport in WRF-Chem

description: Hydroclimate variables were downscaled over Puerto Rico using the Weather Research and Forecasting (WRF) model (Skamarock & Klemp, 2008), version 3.8. Data were downscaled for three time periods: a historical period between 1 January 2013 to 31 December 2018, a mid-21st century period between 1 January 2044 and 31 December 2049, and an end-21st century period between 1 January 2084 and 31 December 2089. 

The mid- and end-21st century simulations were forced with output from the CMIP5 Community Earth System Model version 1 (CESM1) RCP8.5 scenario (Monaghan et al., 2014).  The historical simulation was forced with initial and boundary conditions from the ERA5 reanalysis (Hersbach et al., 2020) to maintain parallelism with the pre-processed CESM output, which was bias-corrected against the now-deprecated ERA-Interim (Monaghan et al., 2014).

Fore each simulation period, two sets of simulations were conducted: one scenario in which dust is allowed to perturb the large-scale circulations over the tropical North Atlantic (these files include the "_dust" tag in the respective file name) and a second scenario with all atmospheric chemistry, including dust effects, turned off.  For the dust-on simulations, dust emissions were parameterized using the GOCART model (Ginoux et al., 2001) with Air Force Weather Agency modifications (GOCART-AFWA) (LeGrand et al., 2019).

 

Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O., & Lin, S.-J. (2001). Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research: Atmospheres, 106(D17), 20255–20273. https://doi.org/10.1029/2000JD000053

Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

LeGrand, S. L., Polashenski, C., Letcher, T. W., Creighton, G. A., Peckham, S. E., & Cetola, J. D. (2019). The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1. Geoscientific Model Development, 12(1), 131–166. https://doi.org/10.5194/gmd-12-131-2019

Monaghan, A., Steinhoff, D., Bruyere, C., & Yates, D. (2014). NCAR CESM Global Bias-Corrected CMIP5 Output to Support WRF/MPAS Research [Data set]. UCAR/NCAR - Research Data Archive. https://doi.org/10.5065/D6DJ5CN4

Skamarock, W. C., & Klemp, J. B. (2008). A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. Journal of Computational Physics, 227(7), 3465–3485.
DOI: 10.17632/h95xm45g3f
title: Data for: Early diagenesis of foraminiferal calcite under anoxic conditions: A case study from the Landsort Deep, Baltic Sea (IODP Site M0063)

description: The dataset includes Mn/Ca, Mg/Ca, Ba/Ca and their mole % of benthic foraminieral 'calcite' and authigenic coatings from the Landsort Deep in the Baltic Sea.
DOI: 10.17632/77js74492z
title: Navigating Post-Pandemic Challenges: A Strategic Leadership Model for Enhancing NGO Resilience in Zambia- Data set

description: Research Hypotheses
This study examines the role of strategic leadership in enhancing the adaptive capacity of NGOs in Zambia post-COVID-19. The key hypotheses tested include: (1) Strategic leadership positively influences NGO adaptation; (2) Challenges such as financial constraints and operational disruptions impact resilience; (3) Leadership practices strengthen adaptive capacity; (4) Specific leadership behaviors improve resilience; and (5) A contextually relevant leadership model enhances adaptation outcomes.

Data Collection & Methodology
The dataset was collected from 254 NGOs across health, education, and social welfare sectors, sampled from a population of 1,567 using Krejcie & Morgan’s formula. Data was gathered through an online survey with a 90% response rate. A five-point Likert scale (1 = Strongly Disagree to 5 = Strongly Agree) measured strategic leadership effectiveness, challenges faced, leadership responses, and NGO adaptability.

Data Description & Interpretation
The dataset includes NGO type, years of operation, and funding sources, providing context for assessing resilience. It measures perceptions of strategic leadership, pandemic-related challenges, and leadership strategies. Additionally, it evaluates leadership response effectiveness and the relevance of a newly developed strategic leadership model. The core dependent variable, organizational adaptive capacity, reflects NGOs’ ability to sustain operations amid uncertainties.

Key Findings
Analysis showed strong strategic leadership correlates with higher adaptability. Despite financial and operational difficulties, NGOs with effective leadership responses demonstrated greater resilience. The newly developed leadership model was seen as practical for crisis navigation. Regression analysis confirmed leadership responses had the strongest impact on adaptive capacity, followed by the relevance of the leadership model.

Data Use & Access
This dataset provides insights for researchers studying leadership resilience, policymakers designing NGO support frameworks, and NGO leaders improving crisis strategies. Due to confidentiality, the raw dataset is unavailable, but summary statistics can be shared upon request. Interested researchers may contact Mwangala Sitali at mwangalas@gmail.com for access under ethical guidelines.
DOI: 10.17632/7njn3gchyf
title: Metabolomics of Oroxylum indicum

description: Oroxylum indicum root and leaf extracts were subjected to LC-MS/MS and HRMS analysis. The reports showed that the abundance of flavonoids present in both extracts was tissue-specific. Upon storage there was a gradual decrease in the content of the flavonoids, however, root profiles showed stability of specialized metabolites at higher levels than leaf profile. Docking of 7 human inflammatory enzymes with 69 specialized metabolites of Oroxylum indicum showed that Oroxin A was a significant anti-inflammatory metabolite abundant in old roots, and was docked with all the enzymes. Supplementary table 1 displays LC-MS/MS analysis, Supplementary Table 2 shows binding energies of all 69 metabolites docked with 7 human inflammatory enzymes, and Supplementary Table 3 shows HRMS results of m/z values w.r.t to the intensities found in Young and old stored and fresh leaf profile, young and old , stored and fresh root profiles.
DOI: 10.17632/hctzthrrs4
title: Data for: Effect of Nanocellulose Fiber Hornification on Water Fraction Characteristics and Hydroxyl Accessibility during Dehydration

description: In this data article, we provide the more differential scanning calorimeter (DSC) melting curves for CNCs and CNF with different solids content. The DSC melting curves were executed from -30 °C to 10 °C at a rate of 1 °C min-1. Based on cellulose’s porous properties, the amount of bound water can be obtained indirectly by thermo-dynamic method. And various thermal conversion processes including freezing or melting can be applied by (DSC).
DOI: 10.17632/6zjj4zwrkx
title: Gen AI and Finance

description: The data is used in a study titled "Generative AI in Finance: Insights from Machine Learning-Based Analysis"
DOI: 10.17632/9cy8nb8zpp
title: Appendix of Rare Earth Elements and Yttrium in Chinese Coals: Distribution and Economic Significance

description: Appendix of Rare Earth Elements and Yttrium in Chinese Coals: Distribution and Economic Significance
DOI: 10.17632/9msc9r8y9f
title: Data for: Wave height and setup in the sheltered area of a segmented, detached, rubble-mound, zero-freeboard breakwater on a steep beach
DOI: 10.6084/m9.figshare.5831235.v1
title: Differential expression of mRNA isoforms in the skeletal muscle of pigs with distinct growth and fatness profiles

description: Transcript diversity in the <i>gluteus medius</i> muscle of pigs and mRNA isoforms that are differentially expressed in Duroc swine with distinct growth and fatness profiles
DOI: 10.17632/f5gd8tsgy9
title: M1-type polarized macrophage contributes to brain damage through CXCR3.2/CXCL11 pathways after RGNNV infection in grouper

description: The vertebrate central nervous system (CNS) is the most complex system of the body. The CNS, especially the brain, is generally regarded as immune-privileged. However, the specialized immune strategies in the brain and how immune cells, specifically macrophages in the brain, respond to virus invasion remain poorly understood. Therefore, this study aimed to examine the potential immune response of macrophages in the brain of orange-spotted groupers (Epinephelus coioides) following red-spotted grouper nervous necrosis virus (RGNNV) infection. We observed that RGNNV induced macrophages to produce an inflammatory response in the brain of orange-spotted grouper, and the macrophages exhibited M1-type polarization after RGNNV infection. In addition, we found RGNNV-induced macrophage M1 polarization via the CXCR3.2- CXCL11 pathway. Furthermore, we observed that RGNNV triggered M1 polarization in macrophages, resulting in substantial proinflammatory cytokine production and subsequent damage to brain tissue. These findings reveal a unique mechanism for brain macrophage polarization, emphasizing their role in contributing to nervous tissue damage following viral infection in the CNS.
DOI: 10.5061/dryad.5fn46
title: Data from: A strong test of the Maximum Entropy Theory of Ecology

description: The maximum entropy theory of ecology (METE) is a unified theory of biodiversity that predicts a large number of macroecological patterns using information on only species richness, total abundance, and total metabolic rate of the community. We evaluated four major predictions of METE simultaneously at an unprecedented scale using data from 60 globally distributed forest communities including more than 300,000 individuals and nearly 2,000 species. METE successfully captured 96% and 89% of the variation in the rank distribution of species abundance and individual size but performed poorly when characterizing the size-density relationship and intraspecific distribution of individual size. Specifically, METE predicted a negative correlation between size and species abundance, which is weak in natural communities. By evaluating multiple predictions with large quantities of data, our study not only identifies a mismatch between abundance and body size in METE but also demonstrates the importance of conducting strong tests of ecological theories.
description: Data from: A strong test of the Maximum Entropy Theory of EcologyThis data product include Python code to reproduce the analyses in A strong test of the Maximum Entropy Theory of Ecology (Xiao et al.) with a processed subset of datasets included in the paper.Xiao_etal_2014.zip
DOI: 10.17632/yyb3wnpwn6
title: Artificial Intelligence Driven Green Business Fashion: Systematic Literature Review on Sustainable Marketing Strategies

description: Artificial Intelligence Driven Green Business Fashion: Systematic Literature Review on Sustainable Marketing Strategies Data