cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14880369.v3
title: Data Source_P2P Lending Platforms in Malaysia: What Do We Know?

description: With the recent evolution of Fintech, 11 peers to peer (P2P) lending platforms have been regulated by the Securities Commission in Malaysia since 2016. P2P lending platforms offer new investment opportunities to individual investors to earn higher rates of return than what traditional lenders normally offer. However, individual investors may face higher potential risks of default from their borrowers. Therefore, to make an effective investment decision, it is essential for individual investors to understand the potential exposure to such P2P lending platforms. This study aims to explore potential exposures that individual investors may experience at the licensed P2P lending platforms in Malaysia. Using manually collected data set available at 9 P2P lending platforms over a five-month period, relationships between interest rates and various risk classifying factors such as credit rating, industry, business stage, loan purpose and loan duration, are examined. Findings show that loans with a similar credit rating; and/or loan purpose; and/or a business stage may offer investors significantly different interest rates. In addition, loans with shorter durations may offer investors higher interest rates as compared to those with longer durations. Finally, loans issued by companies from the same industry appeared to be charged with similar interest. These findings are believed to be valuable to investors to prepare themselves before making their investments at the P2P lending platforms. With a first-hand collected data, this study provides a very first and original insight of the current P2P lending platforms in Malaysia.
DOI: 10.6084/m9.figshare.21896895.v1
title: anova

description: Phan tich phuong sai
DOI: 10.6084/m9.figshare.28745813.v1
title: Hematoxylin and eosin (H&E) stained ovarian tissue images from Foxl2 haploinsufficiency model mice

description: H&E-stained histological images of ovarian tissue collected from Foxl2 haploinsufficiency model mice.
DOI: 10.6084/m9.figshare.28934531.v3
title: Diet of five anuran species of Japanese paddy field

description: Diet of five anuran species of Japanese paddy field
DOI: 10.6084/m9.figshare.871521.v5
title: Interaction Network for Acute Myeloid Leukemia (AML) using The Cancer Genome Atlas (TCGA) database

description: RNA-seq data was downloaded from the TCGA website (Nov 14, 2013) and includes 128 DESEq normalized samples. The data was derived from primary samples of sorted whole blood obtained from AML patients. 100 bootstraps of ARACNe were run using adaptive partitioning, p-value cut off of 1e-8, and full DPI. The regulator list that was used includes all the genes with GO annotation of transcriptional regulation or DNA binding (Shimoni, Yishai; Alvarez, Mariano (2013): TF list. figshare.<br>http://dx.doi.org/10.6084/m9.figshare.871524)
DOI: 10.6084/m9.figshare.14672103.v1
title: ocd2018

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)
DOI: 10.6084/m9.figshare.29174045.v1
title: LLAMA context 100 weights

description: LLAMA context 100 weights
DOI: 10.15468/dl.6r9p24
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 1.8496,17.9648 1.8496,17.9648 -7.1504,26.9648 -7.1504,26.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013137-250525065834625/datasets/export for details.
DOI: 10.17632/8kfxcrpw9f
title: Air, Soil, and Water Quality Dataset

description: Heavy metals concentration in soil (g/kg), surface water (mg/l), and groundwater (mg/l); radionuclides activity concentrations in soils (Bq/kg), and absorbed dose rate (nGy/h); apparent electrical resistivity in soil layers (Ωm); particulate matter in air (µg/m3), HCHO and TVOC (mg/m3), temperature (C), relative humidity (%).
DOI: 10.17632/bcdr25z3df
title: Exchange Rate Risk, Banks’ Currency Mismatches, and Credit Suppy

description: We exploit the post-Brexit depreciation of the British pound as an exogenous shock to show how exchange rate shocks transmit to the German real economy through the banking sector. To that aim, we obtain comprehensive transaction-level data for all foreign exchange forward contracts with German banks, enabling us to trace the foreign exchange risk migration before the referendum date at the bank-firm level, including important cross-industry heterogeneity in hedging demand.  Moreover, because we have detailed on-balance-sheet information about banks' foreign-currency assets and liabilities, we are able to account for compositional changes in any bank's overall exposure to the pound in response to the uncertainty-induced risk migration. In addition, our analysis crucially relies on granular lending information from the German credit register at the bank-firm level to estimate post-referendum adjustments in credit supply. Finally, we use firms' income statements and balance sheet data to examine the impact on the real economy.


Program files to re-produce Tables and Figures in the paper on "Exchange Rate Risk, Banks’ Currency Mismatches, and Credit Suppy"
DOI: 10.17632/d9yy8w52ns
title: ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic.

description: The dataset consists of 11,128 online posts manually labelled for ten emotion categories or neutral, with Fleiss’ kappa of 0.71. We have considered ten emotions, including six of the basic human emotions that were originally proposed by Ekman (1999): anger, disgust, fear, happiness, sadness, and surprise. Additionally, we have incorporated four other emotions that we deemed pertinent to the pandemic period, namely, anticipation, confusion, optimism, and pessimism. The number of instances are relatively balanced across emotion categories in ArPanEmo dataset.

ArPanEmo is unique in that it focuses on a specific dialect, namely Saudi, and covers topics related to healthcare and the ways in which the COVID-19 pandemic has affected various aspects of life.

The online posts were collected from three distinct online sources:

    YouTube comments,
    Online newspaper comments
    Twitter.

Regarding the part of ArPanEmo corpus collected from Twitter, we only release Tweet ID along with annotations due to Twitter’s Service Terms restricting the distribution of tweet contents. Researchers can use Twitter ID to collect the tweets contents when conducting their studies on the dataset. 


To ensure reproducibility, specific training and test portions are well defined for the ArPanEmo dataset. The dataset is formatted in CSV, where each row represents an online post collected from one of the three aforementioned resources. The file includes three columns: number, post, and label. 

     The number represents the Twitter ID, and in the case of a Youtube or online newspaper comment, the number is set to 0. 
     The post column contains the collected online post, and in the case of Twitter, the post is replaced with three dots (...). 
     The label column indicates tthe corresponding emotion label for each post.

*** NOTE *** 
Version 2 of the ArPanEmo dataset differs from version 1 only in that it includes the correct training set file (ArPanEmo_train.csv), whereas in version 1, the training set file (ArPanEmo_train.csv) was mistakenly a duplicate of the test set file (ArPanEmo_test.csv).
DOI: 10.17632/dzfwms8s3m
title: Worker Perceptions on the (Potential) Exit of Foreign MNEs in the Garment Sector

description: The ongoing crisis in Myanmar, intensified by military rule since 2021, has triggered widespread economic collapse and social instability. Amid growing humanitarian needs, formal employment opportunities have declined sharply, increasing the risk of exploitation through illegal migration and human trafficking. This paper examines the role of multinational enterprises (MNEs) in Myanmar’s cut, make, and pack (CMP) garment, with a focus on the socio-economic and ethical implications of their presence or potential exit. Drawing on secondary data and primary survey responses from garment sector workers, the study highlights the crucial role MNEs play in sustaining livelihoods, especially for women and marginalized populations. While some advocacy groups call for divestment to avoid complicity with the military regime, the findings suggest that MNEs act as economic stabilizers and protective agents in a fragile context. The paper argues for a "principled presence" approach, wherein MNEs remain engaged while strengthening labour protections and upholding human rights standards. It also cautions that a "responsible exit" could have unintended consequences, such as mass unemployment and heightened vulnerability to trafficking.
DOI: 10.6084/m9.figshare.22664740.v1
title: interview schedule

description: interview schedule
DOI: 10.6084/m9.figshare.11930355.v1
title: TD-DFT Analysis of the Dissymmetry Factor in Camphor

description: The fact that the dissymmetry lgeb (g-factor) of camphor is large has been known for decades, and the interpretation of the observed data has also been known for a long time. However, due to the ability of quantum chemical methods to describe chiroptical phenomena more appropriately, additional approaches based on these methods have been successful employed. The g-factor lgebra in S-camphor and L-tryptophan have been investigated by UV-Vis and electronic circular dichroism (ECD) spectroscopies of the n ® p* electronic transition. Time-dependent density functional theory (TD-DFT) calculations at CAM-B3LYP/6-311++G(3df,2p)//B3LYP/6-311++G(2d,p) level of theory including Grimme’s dispersion effects have been performed. The lgebra effect was added using solvation model based on density (SMD) approach in solvation environment. The results permit insights into the ground and excited states electronic properties associated with the g-factor. The theoretical spectra showed good similarity with the experimental ones. The theoretical ECD of camphor was found at 282 nm, whereas the experimental shows its maximum at 290 nm. Regarding the maximum value of the molar absorptivity lgebrante, the theoretical and experimental values were 16.2 and 30.2 M-1 cm-1, respectively. The same concordance was obtained for g-factor, as follows: -0.0445 and -0.0886, for experimental and theoretical results, respectively.
DOI: 10.6084/m9.figshare.29036066.v1
title: Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty

description: The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. This research is framed within the growing interest in incorporating emerging technologies into educational assessment processes, with the objective of identifying latent patterns in teaching performance related to digital skills proficiency. The use of artificial intelligence techniques, particularly supervised learning, allowed for the exploration of non-linear and complex relationships among sociodemographic, academic, and technological variables that influence the development of such competencies.
DOI: 10.6084/m9.figshare.9043958.v1
title: Additional file 4: of A multiple breast cancer stem cell model to predict recurrence of T1â 3, N0 breast cancer

description: Table S1. The detailed information of end-point of follow-up for local recurrence or distant metastasis. (XLSX 124 kb)
DOI: 10.17632/7gy7pgxfjx
title: Images from Meso- and Bathypelagic Surveys in the Gully Marine Protected Area: II: Fish of the 2008 Survey

description: During 2007–10, Canada’s Department of Fisheries and Oceans conducted four midwater-trawl surveys, at meso- and bathypelagic depths, in The Gully – a large submarine canyon incised into the Scotian Shelf, east of Sable Island, the core of which has been within a Marine Protected Area since 2004. The surveys followed a fixed-station, depth-stratified design, with replicate sets both in daylight and at night. Most sampling used International Young Gadoid Pelagic Trawls (IYGPTs) –open nets with 60 m² mouth area– worked on double-oblique profiles. From the 2008 survey, the trawls were fitted with rigid (“aquarium”) codends and successfully took a number of delicate specimens in exceptional condition. Full details of the field methodologies have been presented by Kenchington et al. (2009, 2014). Catches of the abundance- or biomass-dominant fish species have been published by Thompson and Kenchington (2016) and Kenchington et al. (2018, 2020a). The ceratioid anglerfishes have been published by Kenchington et al. (2020b) and DNA barcodes derived from selected specimens by Kenchington et al. (2017). 

Identification of fish specimens is ongoing (in 2022), while damage in the nets means that not all can be identified to species. It is, nevertheless, sure that specimens from in excess of 240 fish species were captured. Many of those have rarely been seen and most had never been photographed in fresh condition. Thus, a variety of camera systems were taken to sea on the surveys and an attempt made to create images of every species captured. The resulting collection has been catalogued and lightly edited (removing duplicates and unfocused or otherwise valueless images), while erring on the side of retaining any image that might prove useful in the future. Almost all of those retained are in their original formats and resolutions, though some copies subsequently edited for publication have been added. Because of file-size limits, the present collection includes only the 281 catalogued images of fish specimens from the 2008 survey, together with a copy of the entire catalogue of fish images. Individual files are uniquely numbered (from F08001 to F08281), with corresponding entries in the catalogue. The latter presents the contents of each image (typically only a species name, though some entries have more details) and such other image-specific details as are available. Not all images can be linked to particular specimens but, for those which can be, catalogue entries include cross-references to the survey-program’s catch database, which provides further details on the specimens concerned.

All images © His Majesty the King in Right of Canada, 2022.

Amongst the named authors, the surveys were led by Trevor Kenchington, who also catalogued the images and, working with Cam Lirette, presented them here. Specimen identifications at sea and most of those ashore were by Daphne Themelis, while Merlin Best and Andrew Cogswell captured the images at sea.
DOI: 10.17632/ppfvc65m2v
title: A Python Code for Statistical Mirroring

description: Statistical mirroring is the measure of the proximity or deviation of transformed data points from a specified location estimate within a given distribution [2]. Within the framework of Kabirian-based optinalysis [1], statistical mirroring is conceptualized as the isoreflectivity of the transformed data points to a defined statistical mirror. This statistical mirror is an amplified location estimate of the distribution, achieved through a specified size or length. The location estimate may include parameters such as the mean, median, mode, maximum, minimum, or reference value [2]. 
The process of statistical mirroring comprises two distinct phases: 
a) Preprocessing phase [2]: This involves applying preprocessing transformations, such as compulsory theoretical ordering, with or without centering the data. It also encompasses tasks like statistical mirror design and optimizations within the established optinalytic construction. These optimizations include selecting an efficient pairing style, central normalization, and establishing an isoreflective pair between the preprocessed data and its designed statistical mirror. 
b) Optinalytic model calculation phase [1]: This phase is focused on computing estimates based on Kabirian-based isomorphic optinalysis models.

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682
DOI: 10.6084/m9.figshare.21529470.v1
title: Q statements, z-score and ranking: Revealing ethical perspectives of translation trainees and professionals on translation technology by Q methodology.docx

description: Q statements, z-score and ranking_Revealing ethical perspectives of translation trainees and professionals on translation technology by Q methodology
DOI: 10.6084/m9.figshare.24871923.v1
title: <b>Rhizosphere effect on soil pH decrease in the arid </b><b>area</b><b> but not humid </b><b>area</b><b> across global agricultural ecosystems</b>

description: The pH of rhizosphere significantly influences crop growth, stress resistance, and yield by regulating soil nutrient transformation, microbial activity, and crop hormone metabolism in agroecosystem. Despite its pivotal role, the comprehensive global-scale quantification of magnitude, direction, and driving factors of rhizosphere effect on soil pH is lacking. Thus, a comprehensive meta-analysis including 906 individual cases of the rhizosphere effect on soil pH from 102 target literatures together with biotic and abiotic variables was conducted across the worldwide agricultural ecosystem. Our results revealed that the overall rhizosphere effect on soil pH significantly decreased by 1.04 ± 0.20%, but this trend varied across climatic regions, management practices, and soil properties. Specitively, rhizosphere effect on soil pH significantly decreased by 1.34 ± 0.10% in arid areas (aridity index &lt; 0.65) but showed no significant change (-0.26% to 0.08%) in humid areas (aridity index &gt; 0.65). Besides climatic factors, the rhizosphere demonstrated a pronounced pH-reducing effect in soils with initial soil pH of 6.5-7.5 and soil organic carbon of 10-20 g kg-1. Soybean, identified as the most sensitive crop, caused a significant 3.00% and 1.73% reduction for rhizospheric pH in arid and humid areas, respectively. Soil nutrients and microbial communities and functions in humid areas proved more susceptible to changes induced by rhizospheric pH compared with arid areas. In summary, our findings underscore the potential for agricultural activities, particularly soybean cultivation in arid regions, to contribute significantly to soil acidification on a global scale, especially in neutral soils.
DOI: 10.6084/m9.figshare.28255226.v1
title: Integrated GWAS and transcriptome analysis reveals key genes associated with muscle fibre and fat traits in Gushi chicken

description: 1. In the following experiment meat quality traits of a Gushi-Anka F2 resource population were measured, and their heritability estimated. Intramuscular fat (IMF) had medium heritability (0.35) but leg muscle fibre density (LMD), leg muscle fibre diameter (LMF), breast muscle fibre density (BMD), fresh fat content (FFA), and absolute dry fat content (AFC) had low heritability (0–0.2). The IMF presented the most important genetic additive effect among the poultry meat quality-related traits studied. 2. The phenotypic data of meat quality traits in the Gushi-Anka F2 resource population were combined with genotyping by sequencing (GBS) data to obtain genotype data. Six meat quality traits in 734 birds were analysed by GWAS. Based on these variants, 83 significant (–log<sub>10</sub>(p) &gt; 4.42) single nucleotide polymorphisms and four quantitative trait loci (QTL) regions corresponding to 175 genes were identified. Further linkage disequilibrium (LD) analysis was conducted on chromosome 13 (Chr13) and chromosome 27 (Chr27) QTL regions. 3. Based on the transcriptome data and GWAS results, 12 shared genes - <i>ITGB3</i>, <i>DNAJC27</i>, <i>ETV4</i>, <i>C7orf50</i>, <i>FKBP1B</i>, <i>G3BP1</i>, <i>IGF2BP1</i>, <i>KCNH6</i>, <i>LOC416263</i>, <i>SCARA5</i>, <i>SMIM5</i> and <i>TBL1XR1</i> were identified as candidate genes influencing muscle fibre and fat traits.
DOI: 10.6084/m9.figshare.6085976.v2
title: UCM image dataset

description: Source: http://weegee.vision.ucmerced.edu/datasets/landuse.html
DOI: 10.17632/5bj3vwc6rg
title: KARL - a Monte Carlo model for atomic and molecular processes in the tritium atmosphere of the KATRIN experiment

description: A new parallelized simulation code is presented, which uses a Monte Carlo method to determine particle spectra in the KATRIN source. Reaction chains are generated from the decay of tritium within the source. The code includes all relevant processes: elastic scattering, ionization, excitation (electric, vibrational, rotational), recombination and various clustering processes. The main emphasis of the code is the calculation of particle spectra and particle densities and currents at specific points within the source. It features a new technique to determine these quantities. It also calculates target fields for the interaction of particles with each other as it is needed for recombination processes.
The code has been designed for the KATRIN experiment but is easily adaptable for other tritium based experiments like Project 8. Geometry and background tritium gas flow can be given as user input.
The code is parallelized using MPI and writes output using HDF5. Input to the simulation is read from a JSON description.
DOI: 10.17632/8whgmkfn4f
title: Optimization of greenhouse gas emissions reduction in Qatar football stadiums: Strategy and mechanism

description: The main approaches that were used for optimization of greenhouse gas emissions in Qatar football stadiums, along with their strategy and mechanism
DOI: 10.17632/btv6yrdbmv
title: Data for: Improved accuracy in OCT diagnosis of rare retinal disease using few-shot learning with generative adversarial networks

description: The retinal OCT images ofr rare diseases were extracted by using the Google image and Google dataset search that included English keywords including central serous chorioretinopathy (CSC), macular telangiectasia (MacTel), macular hole (MH), Stargardt disease, retinitis pigmentosa (RP). These rare diseases were selected according to a previous review article about OCT diagnosis. The images possessing rare diseases were manually classified by two board-certified ophthalmologists, and ambiguous images were removed to clarify the image domains. Additional file "Segmentation_manual.zip" offers manually segmentedOCT images for pathologic lesions.
DOI: 10.6084/m9.figshare.22814129.v1
title: Analyzing the Relationship Between Pricing Strategy and Customer Retention in Hotels: A study in Albania

description: data collected by google form questionnaire
DOI: 10.6084/m9.figshare.5248462.v1
title: Battle for Library Island

description: Explore libraries’ work from a unique perspective with this participatory session covering five years in the life of a library-loving island nation. Step into the shoes of a librarian, community member, or government official in a fictional country, to explore the challenges and opportunities in those roles and relationships. There will be drama, there will be danger – and the freedom to reimagine librarianship in a whole new way.