cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13622381.v1
title: Supplementary Material for: Safety and Efficacy of Tandem Hemodialysis and Selective Plasma Exchange in Pretransplant Desensitization of ABO-Incompatible Kidney Transplantation

description: <b><i>Introduction:</i></b> In patients requiring both hemodialysis (HD) and apheresis, the 2 treatments can be performed simultaneously. At our hospital, selective plasma exchange (SePE) is often performed along with HD for removal of isoagglutinins before ABO-incompatible (ABOi) kidney transplantation. The 2 treatments can be completed within the HD schedule, which allows the treatment time to be shortened. This approach is also less stressful for patients because fewer punctures are required. In this study, we investigated the safety and efficacy of tandem HD and SePE. <b><i>Methods:</i></b> A total of 58 SePE sessions in 30 ABOi kidney transplant recipients were investigated. The SePE circuit was connected in parallel with the HD circuit, and tandem HD and SePE therapy was performed using filtration methods. The SePE sessions were divided into 2 groups: those with SePE monotherapy (group S, <i>n</i> = 20) and those with tandem therapy (group T, <i>n</i> = 38). Changes in transmembrane pressure (TMP), arterial pressure (AP), venous pressure (VP), and decrease in isoagglutinin titers over time were compared between the groups with adjustment for background data. <b><i>Results:</i></b> The internal pressures (AP and VP) were higher in group T, and there were significant differences in changes of TMP and AP over time between groups T and S. Membrane exchange was required in 1 case in group T due to coagulation. There was a more significant decrease of immunoglobulin G isoagglutinin titers in group T compared to group S. No case had antibody-mediated rejection after transplantation. <b><i>Discussion/Conclusion:</i></b> In HD/SePE tandem therapy, internal pressures were higher and TMP and AP tended to increase more compared to SePE monotherapy, but we were able to perform the 2 treatments without any functional problems. Tandem therapy was also effective in decreasing isoagglutinin titers, which suggests that this may be a beneficial treatment modality as apheresis before ABOi kidney transplantation.
DOI: 10.6084/m9.figshare.21973925.v1
title: Culinary Medicine

description: This is bibliographic data of articles on culinary medicine
DOI: 10.6084/m9.figshare.13025045.v1
title: 3D Landmark coordinates of bat humeral shape

description: Raw 3D landmark coordinates used to described bat humeral shape variation. Each row represents an individual landmark, and each column its coordinate in one axis. Every set of three consecutive columns represents the same specimen.<br>
DOI: 10.6084/m9.figshare.21773810.v2
title: Trust in algorithms data set

description: Data summary = this is the raw data in the study:
Marmolejo-Ramos, F, Marrone, R., Korolkiewicz, M., Gabriel, F., Siemens, G., Joksimovic, S., Yamada, Y., Mori, M., Rahwan T., Sahakyan, M., Sonna, B., Samekin, A., Som, B., Ndukaihe, I., Arinze, N. C., Kundrat, J., Ngo, G., Nguyen, G., Lacia, M., Kung, C., Irmayanti, M., Muktadir, A., Timoria Samosir. F., Liuzza, M, Omid, Hassan, Ozdogru, A., Ariyabuddhiphongs, K., Rakchai, W., Trujillo, N., Maris Valencia S., Janyan, A., Kostov, K., Montoro, P., Hinojosa, J., Medeiros, K., Hunt, T., Freitag, R., Posada, J., Tejada, J. Trust in algorithms. An experimental approach
<br>
<br>
"ID": D for each participant
"Country"
"e" : factor variable identifying trials with or without explainability
"S" : Factor variable identifying conditions of low and high stake
"Item": Factor variable identifying each of the six scenarios. 
"Probability": Mean probability answered for the question 1 and 2 on the condition of stake described in the column S and e
"Age"
"Gender"
"ADA": Numeric variable whihc represents the participant's level of familiarity with algorithms
"BLISS": avearega number of correct answers of the fourteen items selected from Literacy In Statistics (BLIS) 
<br>
DOI: 10.6084/m9.figshare.25279723.v1
title: Raw Data - Smartphone and Motor Learning

description: Raw data from an experiment investigating mental fatigue induced by smartphone use on motor learning.
DOI: 10.17632/jtjc49nrnn
title: OXCT1 succinylation and activation by SUCLA2 promotes ketolysis and liver tumor growth

description: Raw data (original Western blot images and microscopy images)
DOI: 10.17632/vv6vmvg9cz
title: Bibliometric Analysis of Propolis Research

description: Articles used for the bibliometric analysis.
DOI: 10.6084/m9.figshare.12317489.v1
title: Phenotypic descriptives of 202 yellow drum individuals

description: Detailed sequencing statistics and phenotypes of 202 individuals in this project.
DOI: 10.6084/m9.figshare.16308090.v1
title: Supplementary Data 1

description: Supplementary Data 1 for <i>Communications Biology</i> manuscript entitled: The genome of a dipterocarp <i>Shorea leprosula</i> highlights the ecological relevance of drought in aseasonal tropical rainforests.<br>Supplementary Data 1: Source data for Ks distribution figures.
DOI: 10.6084/m9.figshare.26342614.v2
title: <b>TetraDENSITY 2.0 – A database of population density estimates in Tetrapods</b>

description: Data in "Santini L., Mendez Angarita V.Y., Karoulis, C., Fundarò D., Pranzini N., Vivaldi C., Zhang T., Zampetti A., Gargano S.J., Mirante D., Paltrinieri L. TetraDENSITY 2.0 – A database of population density estimates in Tetrapods. Global Ecology & Biogeography, doi: 10.1111/geb.13929"including two csv files reporting all data and respective bibliographic references, and one txt file reporting the metadata.
DOI: 10.6084/m9.figshare.26390911.v3
title: Metric scores

description: Raw metrics scores from the feature selection for scRNA-seq integration benchmark. Each file contains scores for one experiment that forms part of the benchmark.
DOI: 10.6084/m9.figshare.27268212.v1
title: The genome annotation files of the latest genome assembly of Indian eri silkmoth (<i>Samia ricini</i>) including gene models, its functional annotation result, and piRNA cluster maps.

description: This dataset includes the latest transcriptome-based gene models (gtf, cds, proteins), annotation results, and piRNA cluster maps of three tissues.
DOI: 10.6084/m9.figshare.29094902.v1
title: <b>Ethical Dilemmas in AI: Generative Models in Finance and Healthcare</b>

description: This research article, "<b>Ethical Dilemmas in AI: Generative Models in Finance and Healthcare"</b> authored by <b>Srinivasan Venkataramanan, </b><b>Sai Manoj Yellepeddi, Ajay Aakula, Venkata Sri Manoj Bonam, Mohammed Ahmed, and Meccy Joy</b>, critically examines the ethical challenges posed by the deployment of generative AI models in the high-stakes domains of finance and healthcare. As technologies like GANs, VAEs, and GPT-based large language models become increasingly integrated into financial services and medical applications, they offer powerful capabilities in fraud detection, credit scoring, diagnostics, and drug discovery. However, these advancements also bring serious concerns regarding fairness, bias, data privacy, consent, accountability, and transparency.The study uses a mixed-methods approach to explore technical use cases and ethical dilemmas through literature analysis, stakeholder interviews, and evaluations. Key findings highlight systemic issues such as discriminatory credit decisions, opaque diagnostic algorithms, and data misuse risks. The paper concludes with actionable recommendations and policy suggestions to ensure responsible, ethical AI development, including robust governance frameworks, regular audits, and cross-sectoral accountability mechanisms.This article contributes to the growing discourse on responsible AI, offering a structured path forward for developers, policymakers, and end-users committed to deploying generative AI in a socially just and transparent manner.
DOI: 10.17632/5wwympbccn
title: TulcanSat

description: This dataset provides a comprehensive overview of the Tulcan-Sat project, created for the 2024 CanSat World Competition held in Mexico City. Within this dataset, you'll discover a wealth of information about the project, including detailed insights into its 3D design, which showcases the innovative structure and layout of the satellite.

Additionally, you'll find extensive information on the electronic design, highlighting the various components and systems that contribute to its functionality. The dataset also includes the codes used to ensure everything operates smoothly, allowing for a deeper understanding of the programming behind the project. Whether you're interested in engineering, technology, or aerospace, this dataset offers a valuable resource for exploring the intricacies of the Tulcan-Sat project.
DOI: 10.17632/g46n66frrh
title: Dataset for Evaluating Hair Hall Causes Using Machine Learning Techniques

description: This dataset provides comprehensive information on various factors contributing to hair fall. The dataset contains 717 responses from a survey designed to capture details about individual hair care practices, lifestyle choices, and genetic predispositions.

Features:

1. Age
2. Gender
3. Usage of hair products
4. Water quality
5. Stress levels
6. Late-night activities
7. Presence of anemia
8. Family history of hair fall
9. Personal health conditions

Potential Uses:
Researchers, data scientists, and healthcare professionals can use this dataset to analyze the factors influencing hair fall. It is particularly useful for:

-- Identifying patterns and correlations among various factors contributing to hair fall.
-- Developing predictive models to forecast the likelihood of hair fall based on individual attributes.
-- Designing personalized hair care and treatment plans.
-- Conducting exploratory data analysis to uncover new insights about hair health.

Future Predictions:
From this dataset, future predictions can be made regarding:

-- The impact of lifestyle choices on hair fall severity.
-- The likelihood of hair fall based on genetic predispositions and family history.
-- The effectiveness of different hair care products and practices.
-- The relationship between stress levels and hair fall.

This dataset serves as a valuable resource for advancing the understanding of hair fall causes and developing targeted solutions to mitigate this common issue.
DOI: 10.6084/m9.figshare.16610437.v1
title: mod_frame1_rescaled.rds

description: Data frame for code in Nat. Plants.<br>
DOI: 10.17632/jc7trd3tjc
title: Data for: Liability Risks for Psychiatric Mental Health Nurse Practitioners

description: Risk Management and liability issues for psychiatric mental health nurse practitioners and how to prevent liability.
DOI: 10.6084/m9.figshare.28293062.v1
title: <b>Cholesterol taste avoidance in </b><b><i>Drosophila melanogaster</i></b>

description: The question as to whether animals taste cholesterol taste is not resolved. This study investigates whether the fruit fly, <i>Drosophila melanogaster</i>, is capable of detecting cholesterol through their gustatory system. We found that flies are indifferent to low levels of cholesterol and avoid higher levels. The avoidance is mediated by gustatory receptor neurons (GRNs), demonstrating that flies can taste cholesterol. The cholesterol responsive GRNs comprise a subset that also respond to bitter substances. Cholesterol detection depends on five ionotropic receptor (IR) family members, and disrupting any of these genes impairs the flies' ability to avoid cholesterol. Ectopic expressions of these IRs in GRNs reveals two classes of cholesterol receptors, each with three shared IRs and one unique subunit. Additionally, expressing cholesterol receptors in sugar-responsive GRNs confers attraction to cholesterol. This study reveals that flies can taste cholesterol, and that the detection depends on IRs in GRNs.
DOI: 10.17632/76knkx3fzv
title: ReCAN Data - Reverse engineering of Controller Area Networks

description: Abstract --------- This article details the methodology and the approach used to extract and decode the data obtained from the Controller Area Network (CAN) buses in three personal vehicles and four commercial trucks. The dataset is composed of two complementary parts, namely the raw data and the decoded ones. Along with the description of the data, this article also reports both hardware and software requirements to firstly extract the data from the vehicles and secondly decode the binary data frames to obtain the actual sensors' data. Finally, necessary code snippets have been described in pseudo-code and will be publicly available in a code repository. Preliminary results suggest that motivated enough actors may intercept, interact and recognize the vehicle data with consumer-grade technology, ultimately refuting, once-again, the security-through-obscurity paradigm used by automotive manufacturer as main defensive countermeasure. Keywords ---------- Automotive; Controller Area Network (CAN); Reverse Engineering; Dataset Type of data ------------- - RAW: CSV files with timestamp, CANline, ECU identifier, binary data - Decoded: CSV files with timestamp, CANline, ECU identifier, variable, value How data where acquired ---------------------------- Controller Area Network (CAN) buses have been accessed using a standard CAN connector and a CANtact board. The CAN Utils library, publicly available in the Linux Kernel, has been used to intercept the network traffic of the vehicle. Sensors data have been decoded using state-of-the-art algorithm. Source code for each step of the analysis is publicly available in the repository, as specified below. Parameters: - Cars: 500k baudrate, connected o the OBD-II port of each vehicle. - Trucks: 500k baudrate, connected both to the OBD-II port and to a second wire into a second CAN bus. Source code ------------- - Repository: ReCAN Source - Reverse engineering of Controller Area Networks - Provider: Github - Identification number: 10.5281/zenodo.3625715 - URL: https://github.com/Cyberdefence-Lab-Murcia/ReCAN Acknowledgments -------------------- This study was founded by a predoctoral grant from the Spanish National Cybersecurity Institute (INCIBE) within the program "Ayudas para la Excelencia de los Equipos de Investigación Avanzada en Ciberseguridad" ("Grants for the Excellence of Advanced Cybersecurity Research Teams"), with code INCIBEI-2015-27353; a predoctoral travel grant within the program "Ayudas para estancias en el estranjero de alumnos de doctorado en las líneas de actuación de Campus Mare Nostrum" ("Grants for stays abroad of Ph.D. students within the lines of action of Campus Mare Nostrum'').
DOI: 10.6084/m9.figshare.11860776.v1
title: Toward an understanding of the systematics and evolution of the genus <i>Acrapex</i> Hampson, 1894 (Lepidoptera: Noctuidae: Apameini: Sesamiina): molecular phylogenetics of the genus and review of the species-rich <i>Acrapex aenigma</i> group

description: With a species count reaching almost 100 species, the genus <i>Acrapex</i> is the most diverse genus of sesamiine stemborers (Lepidoptera: Noctuidae: Noctuinae: Apameini: Sesamiina). <i>Acrapex</i> species are mostly distributed in the Afrotropics and consist of several large clades corresponding to distinct species complexes. In this study, 45 morphologically similar species of <i>Acrapex</i> from sub-Saharan Africa are reviewed, including 22 new species that are described: <i>Acrapex alemura</i> <b>n. sp</b>., <i>A. barnsi</i> <b>n. sp</b>., <i>A. capelongo</i> <b>n. sp</b>., <i>A. congoensis</i> <b>n. sp</b>., <i>A. elgona</i> <b>n. sp</b>., <i>A. elisabethiana</i> <b>n. sp</b>., <i>A. eucantha</i> <b>n. sp</b>., <i>A. grandis</i> <b>n. sp</b>., <i>A. igominyi</i> <b>n. sp</b>., <i>A. inexpectata</i> <b>n. sp</b>., <i>A. ketoma</i> <b>n. sp</b>., <i>A. lilomwi</i> <b>n. sp</b>., <i>A. mafinga</i> <b>n. sp</b>., <i>A. makete</i> <b>n. sp</b>., <i>A. marungu</i> <b>n. sp</b>., <i>A. mazoe</i> <b>n. sp</b>., <i>A. mlanje</i> <b>n. sp</b>., <i>Acrapex muchinga</i> <b>n. sp</b>., <i>A. ngorongoro</i> <b>n. sp</b>., <i>A. obscura</i> <b>n. sp</b>., <i>A. ruiru</i> <b>n. sp</b>. and <i>A. wittei</i> <b>n. sp</b>. Supplemental descriptions for previously described species are provided as well. These 45 species are assigned to the newly defined <i>Acrapex aenigma</i> species group. We also conduct molecular phylogenetic analyses and molecular species delimitation analyses on a multi-marker (four mitochondrial and two nuclear genes) molecular dataset encompassing 304 specimens (including 256 <i>Acrapex</i> specimens from 54 species of which 16 species belong to the <i>A. aenigma</i> group). Molecular phylogenetics analyses recover well-supported relationships within <i>Acrapex</i> and support the monophyly of the newly defined group. Results of molecular species delimitation analyses are mostly congruent and tend to corroborate the status of the sampled <i>Acrapex</i> species. Consistent with what has been previously found in other studies, the comparison of results from distinct methods and settings for molecular species delimitation analyses allows us to assess species boundaries with more confidence.
DOI: 10.6084/m9.figshare.25497565.v3
title: Maize yield and quality response to Lepidoptera pest control at different periods.xls

description: Maize (Zea mays L.)is a majorcereal crop worldwide, and itsstable production is essential fornational and global food security. Pests are among the keyfactors affecting the yield and quality of maize. Therefore, it is crucial toevaluate the recovery of yield and quality losses when implementingtimely control measures against pests during different periods. In this study,we investigated the population dynamics of main pests for maize in south China, and assess the yield and quality of maize treated by effectivecontrol to main pests during different periods. Results showed that fall armyworm (FAW) Spodoptera frugiperdawas the most severepest of autumn maize, and emamectin benzoate, chlorfenapyr, chlorantraniliprole were effective in controlling FAW.There was a10.02% loss of ear weight when no control measure was taken at the 4th-leaf stage (V4), and there were 80.45% and 76.09% decreasesof the damage index when no control measure was taken at tasseling stage (VT) and blister stage (R2), respectively. Additionally, the tannin content in maize kernels increasedby 26.28% when no pest control measure had been taken throughout the whole stage of maize. These findingsassisted farmers in increasing their knowledge regarding the detrimental effects caused by FAW and other Lepidoptera pests, and provided a theoretical basis for reasonable and timely control of maize pests.
DOI: 10.6084/m9.figshare.25866847.v1
title: Dynamic evolution of MADS-box genes in extant ferns via large-scale phylogenomic analysis

description: Several studies of MADS-box transcription factors in flowering plants have been conducted, and these studies have indicated that they have conserved functions in floral organ development; MIKC-type MADS-box genes has been proved to be expanded in ferns, however, few systematic studies of these transcription factors have been conducted in non-seed plants. Although ferns and seed plants are sister groups, they exhibit substantial morphological differences. Here, we clarified the evolution of MADS-box genes across 71 extant fern species using available transcriptome, genome, and gene expression data.
DOI: 10.17632/jwtzwhtbkv
title: Volatile fatty acids from oxidation liquefaction of the end-of-life wind turbine blades - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of wind turbine blades and measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 250°C to 350°C with a residence time of 30 to 90 minutes, at a pressure of 20 to 40 bar, a waste-to-liquid ratio of 5-25%, and oxidant concentrations of 15-45% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.6084/m9.figshare.26129905.v1
title: Colonization ability and uniformity of resources and environmental factors determine biological homogenization of soil protists in human land-use systems

description: Biological homogenization of soil protists in urban.
DOI: 10.17605/osf.io/jek2u
title: Comprehensive Analysis of 42 Psilocybin-Producing Fungi Variants Reveals Chemical Diversity and Species-specific Clusters

description: Metabolomic PCA Data from the paperComprehensive Analysis of 42 Psilocybin-Producing Fungi Variants Reveals Chemical Diversity and Species-specific Clusters
DOI: 10.17632/h2w7pshz44
title: Data with: Boschman, L.M., Andean mountain building since the Late Cretaceous: a paleoelevation reconstruction, Earth-Science reviews

description: R-script, input files, reconstruction parameters, and reconstruction results
DOI: 10.17632/pcz6rd79f3
title: PTAs and the Incidence of Antidumping Disputes

description: Data, programs, and associated files for the paper "PTAs and the Incidence of Antidumping Disputes"
DOI: 10.6084/m9.figshare.24115734.v2
title: Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data

description: Although multi-view clustering has been successfully used to fuse multi-source social sensing data, the adaptive determination of fusion weights for high-dimensional and noisy multi-source social sensing data remains challenging. Therefore, we propose an adaptive weighted multi-view subspace clustering (AWMSC) method. Firstly, we use two neural networks to map multi-source data into a common latent representation and multiple specific latent representations, which serve as the query vector and input vectors of the attention mechanism, respectively. Then, the weight of each type of data is calculated based on the attention mechanism. Finally, the specific latent representations of the multi-source data are weighted and fused into a shared subspace representation, which is used as the input of the spectral clustering algorithm to obtain clustering results. AWMSC is applied to identify urban functional zones in Beijing using bus transactions, taxi trajectories, and points of interest datasets. The results show that AWMSC outperforms the typical single-view, weighted-average, and representative multi-view methods. AWMSC can obtain a comprehensive understanding of urban functional zones which may help government departments make more accurate strategic decisions.