cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26892673.v1
title: bnp_fraud.parquet

description: This is a re-upload from https://challengedata.ens.fr/challenges/104 for development convenience. The original dataset is under Etalab open license, allowing its free redistribution. The context below is from the original challenge.<br><br>Challenge context:<br>BNP Paribas Personal Finance is the leader in personal financing in France and in Europe through its consumer credit activity. A 100% subsidiary of the BNP Paribas Group, BNP Paribas Personal Finance gathers more than 20 000 employees and operates in some thirty countries. Under various brands like Cetelem, Cofinoga and Findomestic, BNP Paribas Personal Finance provides its clients with a complete range of consumer credit, available in stores and car dealership or directly through customer relationship centers and via the company’s local websites.BNP Paribas Personal Finance had developed an active strategy of support for retailers, carmakers and dealers, Web merchants, and various financial institutions (banking and insurance), based on its credit's market experience and its ability to offer services adapted to the activity and the commercial strategy of its business partners. It is also a key player in terms of responsible credit and budgetary awareness.BNPP Personal Finance is, by nature, exposed to Credit Risk, and relies heavily on quantitative models to manage it. Within BNP Paribas Personal Finance Central Risk Department is responsible for the relevance of risk rating models used within all local entities and for maintaining a high level of expertise with integrating new statistical techniques in new modelling environments.The Credit Process Optimization team is part of the RISK department of BNPP PF, within Risk Personal Finance Global Credit Decision-making Policies, we contribute to the rationalization and the optimization of risk decision processes through an analytical approach. We support local risk teams to improve the efficiency of credit processes including fraud part, participating to the best balance between profitability, customer journey and risk profiles.<b>Fraud is a major problem for merchants. Criminals use a wide variety of methods to attack organizations across systems, channels, processes and products.</b> <b>The development of fraud detection methods is thus of crucial importance. Fraud detection is a challenging problem because fraudsters make their best efforts to make their behaviour look legitimate. Another difficulty is that the number of legitimate records is far greater than the number of fraudulent cases.</b>
DOI: 10.17632/7xs8z3zjkx
title: Data_XuhanDongGCAsubmitted

description: All produced in this study and literature data used in the figures in the manuscript are provided.
DOI: 10.17632/mrshb935pk
title: The role of vaccines in diabetes

description: For people with diabetes, vaccines are highly valuable preventive tools against infections. The importance of spreading the value of immunization.
Interview with Dr. Amadeo Esposto (M.N. 13891), Infectious Diseases Doctor, senior specialist in Internal Medicine, former head of the Infectious Diseases Service, San Martín de La Plata General Hospital.
DOI: 10.6084/m9.figshare.28635995.v1
title: Collected data for polyphosphate chemorepulsion

description: Data for a paper showing that polyphosphate is a cehmorepellent for Dictyostelium cells.
DOI: 10.6084/m9.figshare.12048930.v1
title: Betacoronavirus (hCov) Sequence composition

description: <b>Accession ID: </b>EPI_ISL_402129<br>https://www.gisaid.org/<br>
DOI: 10.6084/m9.figshare.28877714.v1
title: Exploring geo-tagging behaviour in social media data through structural topic modelling and geographically weighted regression

description: In this study, Tweets were used as inputs for structural topic modelling (STM) to detect what topics were expressed by social media users. The STM identified 20 topics ranging from daily life to professional services. The results revealed how topic words were associated with geo-information versus non-geo-information in their posts. Additionally, geographically weighted regression (GWR) was used to investigate how geo-topics were spatially associated with land-use types, the results identified the specific areas where the geo-topics were positively correlated with different land-use categories.To avoid privacy concerns and to follow the terms of Twitter/X API, the raw individual Tweets are not published. The API terms here (https://developer.x.com/en/more/developer-terms/agreement-and-policy).
DOI: 10.6084/m9.figshare.7042049.v1
title: Data from Stier et al. 2019 Sci Rep (Oxidative stress and mitochondrial responses to stress exposure suggest that king penguins are naturally equipped to resist stress)

description: This excel file contain the raw data used in Stier et al. 2019 Sci Rep to investigate the oxidative stress and mitochondrial responses to stress exposure in king penguin. Details about abbreviations are given in the excel file and information about the physiological parameters in the Table 1 of the original publication.<br>
DOI: 10.17632/522t3s2zwd
title: Ground state of the time-independent Gross–Pitaevskii equation

description: Abstract We present a suite of programs to determine the ground state of the time-independent Gross-Pitaevskii equation, used in the simulation of Bose-Einstein condensates. The calculation is based on the Optimal Damping Algorithm, ensuring a fast convergence to the true ground state. Versions are given for the one-, two-, and three-dimensional equation, using either a spectral method, well suited for harmonic trapping potentials, or a spatial grid. Title of program: GPODA Catalogue Id: ADZN_v1_0 Nature of problem The order parameter (or wave function) of a Bose-Einstein condensate (BEC) is obtained, in a mean field approximation, by the Gross-Pitaevskii equation (GPE)[1]. The GPE is a nonlinear Schrödinger-like equation, including here a confining potential. The stationary state of a BEC is obtained by finding the ground state of the time-independent GPE, ie, the order parameter that minimizes the energy. In addition to the standard three-dimensional GPE, tight traps can lead to effective two- or even on ... Versions of this program held in the CPC repository in Mendeley Data ADZN_v1_0; GPODA; 10.1016/j.cpc.2007.04.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.22643074.v1
title: DEG tables of 11 angiosperm species under different time points of cold treatments

description: Differentially expressed genes (DEGs) of 11 representative angiosperm species under different time points of cold stress treatments.
DOI: 10.17632/ngtpyv4zws
title: Maternal Health Service Coverage in India

description: Accessibility and availability of quality and essential health services and utilization of these services by a large proportion of the population amount towards the health service coverage in a country. Health service coverage in the area of maternal and child health is imperative from the development perspectives of the country. So that, India brings about a number of policies and schemes to increase the coverage of health services under the umbrella of Reproductive, Maternal, Newborn, Child Health (RMNCH). Maternal health is a prominent area of research concern about the health of a woman during the period of pregnancy, childbirth, and post-partum. Against this backdrop, the authors presented a dataset regarding the maternal health service coverage in India at the sub-national level for the three financial years from 2017 to 2020.
Based on the time in which the care has to be provided, the maternal health care services are categorized into three namely Antenatal/ prenatal care, intranatal/ intrapartum care, and postnatal/postpartum care. Antenatal care (ANC) refers to the systemic care and supervision recommended for women during their pregnancy while intranatal care is the systemic care during labour and delivery. Care providing after delivery conventionally for the first 42 days (6 weeks) is known as post-natal/post-partum care. 
The authors extracted data from the Health Management Information System (HMIS) portal, an initiative under the National Health Mission (NHM) by the Government of India. Followed by the extraction, the authors identified and shortlisted health indicators of maternal health service coverage in India at the sub-national level. HMIS is a web-based routine monitoring system of the vital Reproductive Maternal Newborn Child Health (RMNCH) data uploaded by the States and Union territories in India. 
The data for health indicators for the maternal health service coverage were identified and shortlisted based on the expert opinion and review of the literature. The study considered only those indicators for which the data is available in relative measure (in percentage). The selected Indicators are further classified under the domains of Antenatal care coverage (ANC), Intranatal Care Coverage (INC) and Postnatal Care coverage (PNC) based on various guidelines by the reputed national and international organizations. Furthermore, the authors classified the indicators under the domain of ANC into three sub-domains namely ANC registration & check-us, Supplementation & prophylaxis in pregnancy, and essential screening. The obtained data on the selected indicators were randomly chosen and rechecked for the errors in the data entry.
DOI: 10.17632/pstztxnrgj
title: CGMD simulations for GO

description: LAMMPS input scripts and sheet models. (1) Two scripts of the cylindrical and spherical confining; (2) Different size of GO sheets model.
DOI: 10.17632/tn5jjddh5j
title: Ukraine from offensive to defensive

description: Abstract: Russia and Ukraine have been fighting along a 640-mile frontline for the last 
three years of war, and Russia has captured over 112,000 square kilometres of 
Ukrainian territory through a frozen conflict. Ukraine has been failed either to take back 
its territory or halt the tempo of Russian war machine despite tremendous Western 
economic and military support. President Zelenskky can be required to pay hundreds of 
billions of dollars in war reparations to the White House via a critical mining agreement
when Russia has just captured a coal mining town in Toretsk. The conflict evolved into a 
natural resources war for controlling mines and minerals in Ukraine and the strategic 
location of the Black Sea. Russia's war machine is now relentlessly operating on the 
eastern and southern fronts of Ukraine, but this conflict has evolved into a horizontal
proliferation and prevails over diplomatic and military relationships among the 
countries.

Introduction
Warfare, a practice steeped in history, has evolved into a profoundly costly and intricate
endeavour in modern era, leading to the tragic loss of invaluable human 
lives and the destruction of public, private and military infrastructure. It drains vital 
national financial resources intended for military advancement, depletes geological 
resources like crude oil for flying warplanes and diesel for running tanks, trucks, and 
railways, disrupts trade relationships between the warring nations and erodes the 
cultural and diplomatic ties that previously flourished.
On 24th February 2022, Russia invaded Ukraine, and the NATO alliance came under 
severe stress to offer military, financial, and structural aid to Ukraine. As the Russia-Ukraine war has now entered third year. Both sides suffered hundreds of thousands of 
casualties and lost valuable military equipment.
This conflict evolved into a contemporary theatre of drone warfare. Additionally, many 
Ukrainians and some military experts raise hopes that the Biden administration's 
decision to allow Ukraine to use long-range ATACMS inside Russia would change the 
battlefield dynamics. However, the ground realities still remained harsh and 
unfavourable for Ukrainians. This essay will talk about the recent developments on 
different fronts of the war in Ukraine and shed light on the latest Russian military gains. 
It will also look at whether the use of long-range ATACMS against military targets on the 
mainland has slowed down the Russian offensives and stopped their small gains in 
strategic heights of Chasiv Yar and the surrounding Pokrovsk. Finally, it will ask why 
Ukraine can't join NATO soon and whether peace negotiations in Riyadh would facilitate 
Ukraine's swap of the held salient in the Kursk Oblast for a portion of the over 112,000 
square kilometres of Ukrainian territory under Russian control.
DOI: 10.17632/yg6xw7kswj
title: Lymphatic endothelial Tbx1 promotes an immunosuppressive microenvironment to facilitate post-myocardial infarction repair

description: Title: Transcription factor Tbx1 binding site in post-myocardial infarction hearts. 

Data type: Genome binding/occupancy profiling by high throughput sequencing. 

Citation: Wang, W., Li, X., Ding, X., Xiong, S., Hu, Z., Lu, X., Zhang, K., Zhang, H., Hu, Q., Lai, K.S., Chen, Z., Yang, J., Song, H., Wang, Y., Wei, L., Xia, Z., Zhou, B., He, Y., Pu, J., Liu, X., Ke, R., Wu, T., Huang, C., Baldini, A., Zhang, M., Zhang, Z., 2023. Lymphatic endothelial transcription factor Tbx1 promotes an immunosuppressive microenvironment to facilitate post-myocardial infarction repair. Immunity 1–16.

Summary: The heart is an autoimmune-prone organ. It is crucial for the heart to keep injury-induced autoimmunity in check to avoid autoimmune-mediated inflammatory disease. However, little is known about how injury-induced autoimmunity is constrained in hearts. Here we reveal an unknown intramyocardial immunosuppressive program driven by Tbx1, a DiGeorge syndrome disease gene that encodes a T-box transcription factor. We found induced profound lymphangiogenic and immunomodulatory gene expression changes in lymphatic endothelial cells (LECs) after myocardial infarction (MI). The activated LECs penetrated the infarcted area and functioned as intramyocardial immune hubs to increase the numbers of tolerogenic dendritic cells (tDCs) and regulatory T cells (Tregs) through the chemokineCcl21 and integrin Icam1, thereby inhibiting the expansion of autoreactive CD8+ T cells and promoting reparative macrophage expansion to facilitate post-MI repair. Mimicking its timing and implementation may be a novel approach to treating autoimmunity-mediated cardiac diseases.

Experimental design: We generated a Tbx1FlagSBP allele to perform Tbx1 ChIP experiments to identify potential transcriptional targets of Tbx1. A total of 7,147 peaks were enriched compared to the input control, 26.7% of which contained the consensus T-box binding motif. To filter out injury-activated Tbx1 binding peaks, we compared our data with cardiac endothelial-specific ATAC-seq data from uninjured hearts (Yucel et al., 2020). The functional annotation of genes associated with Tbx1 peaks or Tbx1 ChIP-seq-only peaks showed a strong enrichment for genes involved in immune tolerance, autoimmune response, T cell activation, endothelial cell growth and migration, consistent with transcriptional analysis. These results suggested that the aforementioned lymphangiogenic and immunomodulatory genes were direct targets of Tbx1.
DOI: 10.6084/m9.figshare.24487750.v1
title: <b>An updated DNA barcoding tool for </b><b><i>Aloe vera </i></b><b>and CITES-regulated relatives</b>

description: <b>Abstract</b>DNA barcoding has revolutionised the identification of illegally traded material of endangered species as it overcomes the lack of resolution encountered with morphological identification. Nonetheless, in recently evolved and highly diverse clades, such as the relatives of <i>Aloe vera</i>,<i> </i>the lack of interspecific sequence variation in standardised markers compromises the barcoding efficacy. We present a new DNA barcoding tool using 189 nuclear markers, optimised for aloes (Asphodelaceae, Alooideae). We built a comprehensive sequence reference dataset from taxonomically verified sources for &gt;300 species and validated its reliability for identification using phylogenomic inference. Seven anonymised samples from verified botanical collections and ten plants seized at London Heathrow Airport were correctly identified to species level, including a critically endangered species from Madagascar. Commercially purchased samples were confirmed to be the species as advertised. An accurate, reliable DNA barcoding method for aloe identification introduces new assurance to regulatory processes for endangered plants in trade.<br>This dataset is associated with the manuscript by Yannick Woudstra et al. (2024) entitled '<i>An updated DNA barcoding tool for Aloe vera and CITES-restricted relatives</i>'It contains the following files:Alooideae target capture tool reference sequences (“Aloeref.fasta”)Accession information fileSequencing information fileExtinction risk & geographical distribution information fileR script for producing Figure 1 (of main manuscript)Data file to produce plots for Figure 1 (“IUCN_renumbered.csv”)Co-phylogeny of reference database topologies from concatenation vs. coalescent-based methodologiesPhylogeny with distribution of CITES-appendix listings<br>Raw sequencing data are deposited in the NCBI short read archive (SRA) consists of the following bioprojects:PRJNA1120785: Alooideae target capture design – pilot studyPRJNA1120847: Alooideae reference database (aloes) & identifications of unknown aloe materialPRJNA1122593: Alooideae reference database (non-aloes)
DOI: 10.17632/8g559f6pjk
title: Study data

description: -Included patients
-Excluded patients
-Clinical data
-SPSS file
-Study protocol
DOI: 10.17632/g36mx8vx6t
title: Disdrometer data from four sites (Seoul, Chuncheon, Jincheon, and Boseong) in South Korea in 2019

description: These are the data observed from four sites (Seoul, Chuncheon, Jincheon, and Boseong) in South Korea in 2019.
The variables (the rainwater content (W), intercept parameter, slope parameter, 2nd and 4th moments of raindrop size distribution (N₀, Λ, M₂, M₄) estimated from the raw data of Parsivel² disdrometer.) needed to derive the diagnostic relation for N₀ of raindrop size distribution are given.
The detailed information is described in the manuscript.
DOI: 10.17632/xstjp3xdkr
title: Mother empowerment and child education

description: Data was generated through a household survey conducted in 2019 in Karimganj district of Assam, one of the remotest districts of India bordering Bangladesh. The sample includes households where children were living with their mother. Four hundred and fifty of such households were selected purposively for the study out of which, 200 households were from urban areas and the rest 250 are from rural areas of the district. Purposive simple random sampling technique was followed for the selection of sample households from all parts of the district to make the sample a representative one. Final sample includes 432 households, 18 respondents were discarded due to inaccurate and missing details.
DOI: 10.17632/y6tdv8zbs5
title: NASM-Data: Input Data for the Nigerian Agricultural Sector Model (NASM) and Extra-Information/Results

description: This Data Article accommodates secondary data, comprising of the available historic and current farm production data in Nigeria such as crop type, yields, prices, crop production inputs’ (e.g. labour, fertilizer, pesticide, seed, cash capital) as well as the Nigerian food consumption demand, and international commodity trade (import and export) data. The data were collected from reputable online databases such as FAOSTAT, World Bank, IMF, USDA, NBS, IITA, etc., and through personal research visits to Nigerian government agencies such as Federal and State Ministries of Agricultural and Rural Development, State Agricultural Development Agency (ADP) in Nigeria, National (Nigerian) Bureau of Statistics (NBS) and others; and were assembled, screened, processed (tabulated them according to GAMS table requirements). The data were applied via General Algebraic Modelling System (GAMS) to calibrate the ever first developed Nigerian Agricultural Sector Model, regionalised into existing six geo-political zones of Nigeria, in order to develop a reliable empirical tool for evidence-based agricultural development planning and policymaking in Nigeria. It is the Base (or Calibration) model, upon which the Nigerian Energy-Food Model (NEFM) is further built and applied to analyse the Nigerian Biofuels policy (i.e. bioethanol production potential), and its impacts on the Nigerian food and energy securities, job creation, rural economy development, and the entire Nigerian economy. Therefore, NASM-Data share some data with Mendeley Data (NEFM), while they both retain some data that are unique to them. Ndukwe Agbai Dick collected all the data, processed and applied them through GAMS to first develop NASM model that calibrates exactly the existing crop production environment and/or data in Nigeria before extending the model further to develop the NEFM, and finally applied the NEFM to analyse the Nigerian Biofuels Potential during his PhD research studies at Newcastle University, England, between October 2010 and September, 2014. The research visit took place between March 1st and June, 2012. Research findings from the analysis of these data using GAMS are currently being documented in paper titled "The Nigerian Agricultural Sector Model (NASM): A Sectoral Agricultural Policymaking Tool & An Empirical Model for Optimizing Food Production and Boosting Food Security in Nigeria", for submission to an international peer-reviewed and reputable high impact journal – Agricultural Systems (AS).
DOI: 10.6084/m9.figshare.29146865.v1
title: <b>Rewiring the Future: M&A in the Robotic Welding Sector</b>

description: As labour shortages, cost pressures, and precision demands reshape manufacturing, robotic welding stands at the centre of the industrial automation revolution. This paper explores why M&A activity is heating up, with corporate acquirers and private equity zeroing in on scalable, AI-integrated welding tech. We unpack valuation trends, deal drivers, risk factors, and real-world case studies to give strategic insight into the next wave of industrial consolidation. Whether you're eyeing a bolt-on or platform play, this is your blueprint for navigating one of automation’s most investable frontiers.
DOI: 10.17632/cgwxb7crgv
title: Evaluation Mode Affects Choice of Healthy and Unhealthy Food: The Role of Taste and Healthiness Attribute Evaluability

description: All data and syntax files for all studies in the paper.
DOI: 10.17632/n8cwh5nnw2
title: Data for: Temperature dependence of elastic moduli in a refractory HfNbTaTiZr high-entropy alloy

description: Temperature dependence of Young’s modulus E, shear modulus G as well as the corresponding damping coefficients of the HfNbTaTiZr refractory high-entropy alloy. These data were obtained between 293K and 1100K using a resonance frequency technique described in the standard test method ASTM E1876.
DOI: 10.6084/m9.figshare.25813798.v1
title: TaxonomySources.xlsx

description: We conducted a thorough literature review with the goal to develop a taxonomy of attacks towards ChatGPT. The main search engine used to search for relevant literature was Google Scholar. Our search included the keywords ChatGPT or LLM combined with Attack, Jailbreak or any of our attack types mentioned in the taxonomy. For our taxonomy we ended up with 15 relevant studies all mentioning either one of or multiple of our topics: Prompt Manipulation, Output Misappropriation, Information Extraction and Privacy Breaches.
DOI: 10.6084/m9.figshare.28919963.v1
title: Mouse organogenesis seqFISH E8.5

description: AnnData object, containing seqFISH expression values of Lohoff et al., Nature Biotechnology 2022.Contains raw data for 51,787 cells and 351 genes across all three embryos, as well as cell type annotations and embeddings. Data corresponds to E8.5-8.75.
DOI: 10.6084/m9.figshare.7584215.v1
title: Wildtype HEK293 nicastrin amplicon-seq - target coverage

description: This is an amplicon-seq of a wildtype HEK293 cell line targeting nicastrin. The coverage over the target was calculated with bedtools.<br>