cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19295009.v3
title: SIF-GPP sky conditions

description: Data of four in situ sites in the research "how do sky conditions affect the relationships between ground-based solar-induced chlorophyll fluorescence and gross primary productivity across different plant types?"
DOI: 10.6084/m9.figshare.28990208.v1
title: Supplementary Materials for "Familial associations of the metabolic syndrome and its interrelated traits in Southwestern Indigenous Americans". METS_Supplementary_material_final_rev.docx

description: <b>Context: </b>Metabolic syndrome (MetS) risk factors emerge in childhood. The precursors may include familial association through genetic inheritance or cohabitation.<b>Objective: </b>Examine cross-sectional associations of MetS components between spouses and between parents and their 5–19-year-old offspring.<b>Methods:</b> Data were obtained from 1,255 mother-father-offspring triads enrolled in a longitudinal study in an Indigenous community in Arizona (1965-2007). Parent-offspring measures of waist circumference, triglycerides, high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting glucose were used for MetS diagnosis. Parental MetS and its components were defined according to the modified criteria of Adult Treatment Panel III. Additional offspring measures included HbA1c, fasting insulin, HOMA-IR, and type 2 diabetes (T2D).<b>Results:</b>Parental MetS components associated significantly with higher risk of diabetes and with higher central adiposity, triglycerides, SBP, fasting glucose and insulin, HOMA-IR, and with lower HDL-C in the offspring. These associations were stronger during adolescence and more pronounced between maternal-offspring dyads. For instance, offspring of mothers with hyperglycemia had 10.3 mg/dL higher fasting glucose at ages 12-19 years (vs 2.61 mg/dL higher fasting glucose at ages 05-11 years) than offspring of mothers with normal glucose levels<i>.</i> Parental diabetes partially explained some of these associations. We also found significant spousal concordance in metabolic risk attributes.<b>Conclusions: </b>Parental MetS characteristics were significantly associated with T2D and<b> </b>cardiometabolic risk factors in offspring.<b> </b>Associations were stronger during adolescence and between maternal-offspring pairs. These findings strongly support the need for family-based interventions directed at modifying health behaviors in high-risk population groups.
DOI: 10.6084/m9.figshare.5129353.v1
title: Supplementary Material for: Neurocognitive Deficits and Effects of Cognitive Reserve in Mild Cognitive Impairment

description: <b><i>Background/Aims:</i></b> Mild cognitive impairment (MCI) is a frequent syndrome in the older population, which involves an increased risk to develop Alzheimer's disease (AD). The latter can be modified by the cognitive reserve, which can be operationalized by the length of school education. MCI can be differentiated into four subtypes according to the cognitive domains involved: amnestic MCI, multiple-domain amnestic MCI, non-amnestic MCI and multiple-domain non-amnestic MCI. While neurocognitive deficits are a constituent of the diagnosis of these subtypes, the question of how they refer to the cognitive reserve still needs to be clarified. <b><i>Methods:</i></b> We examined neuropsychological deficits in healthy controls, patients with MCI and patients with mild AD (n = 485) derived from a memory clinic. To reduce the number of neuropsychological variables, a factor analysis with varimax rotation was calculated. In a second step, diagnostic groups including MCI subtypes were compared with respect to their clinical and neuropsychological characteristics including cognitive reserve. <b><i>Results:</i></b> Most MCI patients showed the amnestic multiple-domain subtype followed by the pure amnestic subtype, while the non-amnestic subtypes were rare. The amnestic subtype displayed a significantly higher level of cognitive reserve and higher MMSE scores than the amnestic multiple-domain subtype, which was in most cases characterized by additional psychomotor and executive deficits. <b><i>Conclusions:</i></b> These findings confirm earlier reports revealing that the amnestic multiple-domain subtype is the most frequent one and indicating that a high cognitive reserve may primarily prevent psychomotor and executive deficits in MCI.
DOI: 10.17632/dbcpnvkw8c
title: Soil hyperspectral and soil organic carbon

description: This study hypothesized that integrating multiscale wavelet decomposition (CWT/DWT) with machine learning (ML) enhances soil organic carbon (SOC) estimation in arid lakeside oases. Using 82 soil samples with VNIR spectra, CWT at scales 1-5 reduced noise by 19.21% vs DWT. CWT-1-CARS-RF achieved optimal accuracy (R²=0.79, RPD=2.23), with 49.04% R² and 58.23% RPD improvements via feature selection. Sensitive bands were 401-504 nm (visible) and 1638-2369 nm (NIR). Spatial validation showed 91.3% consistency, confirming robust SOC mapping via wavelet-ML synergy.
DOI: 10.17632/mmbmx4fyy5
title: Data for: Movie watching during dialysis sessions reduces anxiety and depression and improves quality on life: a randomized clinical trial

description: Dados of the article "Movie watching during dialysis sessions reduces anxiety and depression and improves quality on life: a randomized clinical trial"
DOI: 10.17632/pwr7wvj4bt
title: MORG1 limits mTORC1 signaling by inhibiting Rag GTPases (Abudu et al.)

description: Original source files (microscopy images and blots) for the study MORG1 limits mTORC1 signaling by inhibiting Rag GTPases
DOI: 10.17632/t9rns2gmr3
title: BDMediLeaves

description: This dataset focused on six medicinal plants ( Phyllanthus Emblica, Terminalia Arjuna, Kalanchoe Pinnata, Centella Asiatica, Justicia Adhatoda and Mikania Micrantha ) based in Bangladesh. All the leaves images were taken separately by iPhone 13. The purpose of  image augmentation was to expand the dataset's size and mitigate the risk of overfitting during the training and validation of the model. "BDMediLeaves" dataset have two subfolders one is  non-augmented another one is augmented. In non-augmented folder there are six different sub folders which are named by six different medicinal plant species and these subfolders have also three subfolders “train”, “test”, “validation”.
DOI: 10.17632/wk8nd5zjyf
title: Acoustic Camera for UAVs

description: This data was collected with an acoustic camera that was designed for use on UAVs, for airborne acoustic surveillance. The dataset contains a video of camera operation in an indoor setting.
DOI: 10.6084/m9.figshare.9782762.v1
title: Patients dataset.xlsx

description: This dataset for our study that investigated the hypoglycaemia problem-solving ability of patients who have diabetes mellitus and factors that determine their attitudes and perceptions towards their previous events in three countries in the Middle East (Jordan, Saudi Arabia and Kuwait).
DOI: 10.17632/gdd9htg5gb
title: Effect of Social Media Influencer Marketing on Purchase Intention and the Mediation Effect of Credibility

description: Dataset for the article on "Effect of Social Media Influencer Marketing on Purchase Intention and the Mediation Effect of Credibility".
DOI: 10.6084/m9.figshare.19071182.v2
title: Aging gut microbiota of wild macaques are equally diverse, less stable but progressively personalized_Sadoughi_Datasets, R codes, and outsourced R functions

description: <strong>DATASETS</strong> The original ASVs tables (asv_table and asv_table_filtered) and metadata file (metadata_samples) are provided with the phylogenetic tree (rooted_tree) and DNA sequences (sequenes_100). <br> Datasets holding other complex metadata used for analyses or plotting are also provided (daily_availability_indices; dyadic_sociality_data; sociality_data). <br> To reduce computation time, several datasets generated during the study, using the R code provided, were exported and are readily available (alpha_diversity; alpha_diversity_normalized; master_frame; personalization_data). <br> <strong>R CODES</strong> R scripts numbered according to the corresponding Results sections of the article.<br> <strong>OUTSOURCED R FUNCTIONS</strong> R codes of several statistical functions loaded in the main R codes used to perform analyzes and generate figures. To load the outsourced R functions, specify the pathways to the outsourced R codes or place all R scripts in the same location.
DOI: 10.6084/m9.figshare.22574206.v3
title: The genome of <em>Decapterus maruadsi</em>

description: The genome of <em>Decapterus maruadsi </em>
DOI: 10.6084/m9.figshare.27195357.v2
title: <i>Ophiocordyceps sinensis-</i>induced changes in <i>Thitarodes xiaojinensis</i>:<i> </i>from intestinal barrier destruction, microbiome dysbiosis to immune responses at the molecular level

description: 昆虫病原真菌 （EPF） Ophiocordyceps sinensis 与其宿主昆虫 Thitarodes xiaojinensis 有着长期的关系，使其成为宿主-病原体相互作用的独特模型。然而，T. xiaojinensis 和 O. sinensis 之间的交互机制仍不清楚。在这项研究中，我们进行了多组学方法来阐明 O. sinensis 和 T. xiaojinensis 之间相互作用的作用。我们发现 O. sinensis 对昆虫的肠道屏障造成损害，并促进细菌从肠道转移到血腔。然后，来自肠道的 O. sinensis 和其他机会性病原菌的存在破坏了血淋巴微生物群的稳态，导致细菌多样性增加。<b> </b>结果，昆虫的激素水平（特别是 20-羟基蜕皮激素和保幼激素）增加，其抗氧化能力（总抗氧化能力和谷胱甘肽 S-转移酶）以及作为其免疫反应一部分的抗菌肽 （AMP） 的产生也增加了。当被 O. sinensis 感染时，宿主体内 20E 水平升高可能导致 AMPs 的产生增加。我们的研究结果表明，O. sinensis 激活和纵昆虫的免疫反应，以抵抗肠道微生物群侵入血淋巴。这些结果表明，昆虫的微生物组调节 EPF 与其宿主之间的免疫相互作用，揭示了 O. sinensis 和 T. xiaojinensis 之间相互作用的新策略。
DOI: 10.17632/9thbm625hk
title: MODELOS COMPARADOS DE SERVICIO CIVIL EN 5 PAISES: ALEMANIA, FRANCIA, GRAN BRETAÑA, ESPAÑA E ITALIA.

description: We have carried out a Comparative Study of the Civil Service Models in five (5) countries, which are characterized by the robustness of their Public Administration, based on the legal framework of each nation: its Principal Law that supports the Political Constitution, Law of Public Administration, among other substantive laws.
Special consideration has been given in our Study to the legislation that enshrines social rights and achievements in each of the reference nations.
DOI: 10.17632/ysrd886xj9
title: Box-office revenue forecasting

description: The data includes 36 attributes represent internal variables and 7 attributes serve as external variables. The total observations are 498 movies that released in Taiwanese theater for the period from January 2017 to May 2018. The name of the movies are encoded
DOI: 10.6084/m9.figshare.12705068
title: Supplementary Material for: Molecular Analyses of Biofilm-Producing Clinical <b><i>Acinetobacter baumannii</i></b> Isolates from a South Indian Tertiary Care Hospital

description: <b><i>Objectives:</i></b> The aim of the study was to determine the presence of antimicrobial-resistance (AMR) genes, virulence genes, and mobile genetic elements (MGEs) in 14 biofilm-producing clinical isolates of <i>Acinetobacter baumannii</i>. <b><i>Materials and Methods:</i></b> PCR amplification was performed to analyse the prevalence of genes associated with antibiotic resistance (extended-spectrum β-lactamases [ESBLs] and metallo-β-lactamases [MBLs]), virulence factors, MGEs (class 1 integron, Tn<i>1213</i>, and <i>A. baumannii</i> antibiotic resistance [AbaR]), and <i>comM</i> among the study isolates. Random amplified polymorphic DNA (RAPD) PCR was then deployed to understand their phylogenetic relationship. All the isolates were investigated for biofilm production. <b><i>Results:</i></b> Two isolates were antibiotic-sensitive (AS), 3 were multi-drug-resistant (MDR), and the remaining 9 were extensively drug-resistant (XDR). The majority of the isolates were found to be positive for biofilm production and were sensitive against tetracycline and colistin only. Ab14 and Ab11 were found to be resistant to minocycline and colistin, respectively. <i>bla</i><sub>TEM</sub>, <i>bla</i><sub>OXA</sub>, <i>bla</i><sub>NDM</sub>, <i>bla</i><sub>VIM</sub>, <i>bla</i><sub>SIM</sub>, and <i>bla</i><sub>PER-1</sub>; class 1 integron; composite transposon Tn<i>1213</i>; AbaR island, and virulence factor genes were detected among the isolates. These pathogens were found to have originated from multiple clonal lineages. <b><i>Conclusion:</i></b> Biofilm-producing <i>A. baumannii</i> with multiple virulence and AMR genes pose serious clinical challenges. The presence of MGEs further compounds the situation as these isolates serve as potential reservoirs of AMR and virulence genes. Together with their capacity for natural competence, <i>A. baumannii</i>, if left unchecked, will lead to the spread of resistance determinants to previously sensitive bacteria and may aid in the emergence of untreatable pan-drug-resistant phenotypes.
DOI: 10.6084/m9.figshare.24588585.v5
title: WM-connectome-development

description: This repository provides source data of figures in our study "Longitudinal development of brain white matter structural connectome and its association with transcriptomic and cellular architecture".If you use these data, please cite our paper:Guozheng Feng, Rui Chen, Rui Zhao, et al. Longitudinal development of the human white matter structural connectome and its association with brain transcriptomic and cellular architecture. Communications Biology. https://doi.org/10.1038/s42003-023-05647-8
DOI: 10.6084/m9.figshare.25655245.v1
title: Modeling and Learning on High-Dimensional Matrix-Variate Sequences

description: We propose a new matrix factor model, named RaDFaM, which is strictly derived from the general rank decomposition and assumes a high-dimensional vector factor model structure for each basis vector. RaDFaM contributes a novel class of low-rank latent structures that trade off between signal intensity and dimension reduction from a tensor subspace perspective. Based on the intrinsic separable covariance structure of RaDFaM, for a collection of matrix-valued observations, we derive a new class of PCA variants for estimating loading matrices, and sequentially the latent factor matrices. The peak signal-to-noise ratio of RaDFaM is proved to be superior in the category of PCA-type estimators. We also establish an asymptotic theory including the consistency, convergence rates, and asymptotic distributions for components in the signal part. Numerically, we demonstrate the performance of RaDFaM in applications such as matrix reconstruction, supervised learning, and clustering, on uncorrelated and correlated data, respectively. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.26162014.v1
title: <b>LIG1</b>

description: The raw data and R code of the manuscpt for reviewers.
DOI: 10.6084/m9.figshare.26310520.v2
title: DRUG-seq with metabolites data

description: We provided the sequencing data obtained from this DRUG-seq experiment, including 364 treatments and 20 controls.We also provided all the metabolites used in this experiment along with their detailed information.The CIBERSORT results were also presented.
DOI: 10.6084/m9.figshare.28514072.v1
title: Data availability for yEFIS with EFIS lead the way to ECR engagement at ECI2024.xlsx

description: Data collected for the 2nd yEFIS Symposium "Conquering early career challenges as young immunologists” and ECI2024
DOI: 10.17632/ccm3wvnbyx
title: India energy data

description: The dataset contained information on various energy sources such as coal, oil, gas, nuclear, and renewables. The indicators included annual emissions, installed capacity, and electricity generation.
DOI: 10.17632/d4k3wr5czc
title: Raw Data

description: Data for figures.
DOI: 10.17632/m9m2gmcr6k
title: Data for: A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D data

description: The file includes the test data at flooding and dehydration states, from two different PEMFC systems (PEMFC 1 and PEMFC 2).
DOI: 10.17632/xmf5r8nzrn
title: Genomic inference of a severe human bottleneck during the Early to Middle Pleistocene transition

description: Raw data to create Figure 2, 3, 4 and the supplemental Figures, the observed site frequency spectrum (SFS) of 50 human populations sampled world-wide and the msprime scripts to generate simulate data.
DOI: 10.6084/m9.figshare.12470162.v1
title: Integrated Human Lung Cell Atlas

description: SARS-CoV-2, the pathogenic agent of COVID-19, employs angiotensin converting enzyme-2 (ACE2) as its cell entry receptor. Clinical data reveal that in severe COVID-19, SARS-CoV-2 infects the lung, leading to a frequently lethal triad of respiratory insufficiency, acute cardiovascular failure, and coagulopathy. Physiologically, ACE2 plays a role in the regulation of three systems that could potentially be involved in the pathogenesis of severe COVID-19: the kinin–kallikrein system, resulting in acute lung inflammatory edema; the renin–angiotensin system, promoting cardiovascular instability; and the coagulation system, leading to thromboembolism. Here we assembled a healthy human lung cell atlas meta-analysis with ~ 130,000 public single-cell transcriptomes and show that key elements of the bradykinin, angiotensin and coagulation systems are co-expressed with <i>ACE2</i> in alveolar cells and associated with their differentiation dynamics, which could explain how changes in ACE2 promoted by SARS-CoV-2 cell entry result in the development of the three most severe clinical components of COVID-19.
DOI: 10.6084/m9.figshare.11967897.v1
title: L2 Section, Sample 19. 24 Year Old Female

description: A 3 mm thick para-sagittal slice of L2 vertebra from an 24 year old female embedded in PMMA then micro-milled block surfaces carbon coated for quantitative 20kV BSE SEM.<br><br>Later polished to remove coating and then imaged with high-contrast X-Ray Micro-tomography at 90 kV with 30 micron voxel size.<br><br>There is also a 3D VR model of this sample available :<br>https://skfb.ly/6QSAJ<br>
DOI: 10.6084/m9.figshare.12765407.v1
title: Real time history of wave parameters in Black Sea based on wave buoy measurements

description: Dataset of mean wave parameters registered every 30 min by spotter wave buoy (https://www.sofarocean.com/products/spotter) installed in Black Sea region near Gelendzhik city (Russia) on water depth about 80 m and about 4 nautical miles from the shore (LAT 44.51<sup>0</sup> LON 37.97<sup>0</sup>). The buoy was installed at 23 July 2020 in the frame of integrated coastal-marine scientific expedition "Black Sea - 2020" of Shirshov Institute of Oceanology (State assignments 149-2019-0005 and 149-2019-0014). The dataset provide weekly upgraded time history (Epoch Time) of wave parameters from this date up to now. Following wave parameters are available: Significant Wave Height (m),Peak Period (s),Mean Period (s),Peak Direction (deg),Peak Directional Spread (deg),Mean Direction (deg),Mean Directional Spread (deg),Latitude (deg),Longitude (deg). Also there are calculated real time estimations of Wind Speed (m/s) and Wind Direction (deg) (https://www.sofarocean.com/posts/wind-spotter). The data are in columns separated by commas, a symbol “-“ means no data.
DOI: 10.6084/m9.figshare.22820534.v5
title: PowerGraph

description: We have created a comprehensive graph dataset that models power flow (PF), optimal power flow (OPF), and cascading failure events in power systems. To generate the dataset for PF and OPF, we utilized MATPOWER, and for the cascading failure events, we employed a physics-based cascading failure model called Cascades. This model simulates the propagation of failures within a power grid, resulting in unmet demand (DNS). Each power grid state is represented as a graph, where buses (including loads and generators) form the nodes and branches (including transmission lines and transformers) form the edges.For PF and OPF, we treat the problem as a regression task to predict electrical quantities at the node level. In contrast, for cascading failure analysis, we assign graph-level labels based on the outcomes of the physics-based model. This dual approach allows our dataset to support a variety of tasks, including node regression, graph-level multi-class classification, binary classification, and regression. Additionally, we provide ground-truth explanations for the cascading failure analysis, enabling our dataset to serve as a benchmark for evaluating GNN explainability models in graph-level tasks.<br>The PF and OPF dataset is in 'dataset_pf_opf' for the IEEE24, IEEE39, UK, IEEE118 and Texas bus systemsThe Cascading failure dataset is in 'dataset_cascades' for the IEEE24, IEEE39, UK, and IEEE118 bus systems. The raw Cascading failures dataset for the Texas dataset is in 'raw.7z'.<br>
DOI: 10.6084/m9.figshare.9784325.v1
title: 20110117_pnas_grape_rawdat.zip

description: Raw data files generated from the custom Illumina Vitis9KSNP array by Myles et al. (2010, 2011). <br>The genotype information from the Vitis9KSNP array are in PLINK format.<br>
DOI: 10.17632/9srgy5rhsb
title: Supplementary 1 and 2

description: Details of propensity score matching process
DOI: 10.17632/zdtc3n6xv2
title: A Comprehensive Dengue Dataset of Bangladesh

description: Description
A major public health concern in Bangladesh, especially in the Dhaka area, is dengue fever, a virus spread by mosquitoes. This dataset offers methodically gathered real-world data to support targeted public health actions, predictive modeling, and epidemiological research. In order to ensure ethical data collection techniques, information was obtained from community members who freely provided their information and from patients who visited nearby hospitals. Environmental, serological, and demographic parameters linked to dengue incidence are included in the dataset. In order to determine the most important diagnostic markers for Dengue categorization, medical experts were also consulted. For researchers, decision-makers, and data scientists battling Dengue outbreaks, this dataset is an invaluable resource.

Data Collection Methodology
Data were gathered through direct surveys of individuals visiting local hospitals and their communities. Participants willingly contributed information after being informed about the study's significance. No coercion was used, ensuring ethical data collection. Additionally, consultations with medical professionals helped identify key diagnostic features essential for Dengue classification.

Key Features
Demographics: Gender and age of respondents.
Serological Data: NS1, IgG, and IgM test results (binary values: 1 = positive, 0 = negative).
Geographical Information: Area, area type (Developed/Undeveloped), district.
Housing Conditions: House type (e.g., Building, Tin-Shed, Others).
Dengue Outcome: Presence (1) or absence (0) of Dengue cases.
Scientific Basis for Data Collection
This dataset follows a cross-sectional observational study approach. The NS1, IgG, and IgM test results were included based on clinical consultations, ensuring relevance for Dengue identification. Environmental and demographic factors were incorporated due to their established role in disease transmission.

Potential Applications
Epidemiological Research: Identifying high-risk areas and analyzing disease spread patterns.
Machine Learning Models: Developing predictive models for Dengue diagnosis.
Public Health Interventions: Assisting government agencies and NGOs in outbreak response and resource allocation.
Conclusion
This dataset serves as a valuable resource for researchers, public health professionals, and policymakers to analyze Dengue trends and improve outbreak preparedness in Bangladesh.