cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20170499.v1
title: Supplementary Material for: Genetic Relationships between Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Intelligence

description: <b><i>Introduction:</i></b> Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) commonly co-occur; both traits exert an influence on intelligence scores. Genetic relationships between these three traits are far from being clear. <b><i>Methods:</i></b> The summary results of genome-wide association studies of ADHD (20,183 cases and 35,191 controls), ASD (18,381 cases and 27,969 controls), and intelligence (269,867 participants) were used for the analyses. Local genetic correlation analysis and polygenic overlap analysis were used to explore the shared genetic components between ADHD, ASD, and intelligence. Mendelian randomization (MR) analysis was used to examine the causal associations between ADHD, ASD, and intelligence. A cross-trait meta-analysis was performed to identify pleiotropic genetic variants across the three traits. <b><i>Results:</i></b> Our results showed that intelligence has a positive and negative genetic correlation with ASD and ADHD, respectively, including three hub genomic regions showing correlated genetic effects across the three traits. Polygenic overlap analysis indicated that all the risk variants contributing to ADHD are overlapped with half of those for intelligence, and the majority of the shared variants have opposite effect directions between them. The majority of risk variants (80%) of ASD are overlapped with almost all the risk variants of intelligence (97%). Notably, some ASD/intelligence overlapping variants displayed opposing effects on these two conditions. MR analysis showed that the genetic liability to higher intelligence was associated with an increased risk for ASD (OR = 1.12) and a decreased risk for ADHD (OR = 0.78). Cross-trait meta-analyses identified 170 pleiotropic genomic loci across the three traits, including 12 novel loci. Functional analyses of the novel genes support their potential involvement in neurodevelopment. <b><i>Conclusion:</i></b> Our results suggest that ADHD is associated with inheriting a reduced set of low-intelligence alleles, whereas ASD results from incongruous effects from a mixture of high-intelligence and low-intelligence contributing alleles summed up with additional, ASD-specific risk variants not associated with intelligence.
DOI: 10.6084/m9.figshare.22494475.v5
title: Household appliances’ load profile generation based on data-analytic device operation and resident activities

description: This study discloses a load profile dataset of major household appliances for load flexibility (LF) utilization in residential sectors. To generate the profiles, measured load consumption patterns of each appliance and residents’ time-use survey data are analysed. Representative appliances used during the customers’ daily activities are defined and their power consumption profiles during a single operation cycle are collected according to various scenarios. The entire dataset is available at one-second intervals for daily profiles of individual appliances. The dataset can be used in multiple ways to contribute to the economic and environmental impact estimation of LF application, such as market/rate design, customer targeting, and electricity system planning.
DOI: 10.6084/m9.figshare.24466993.v1
title: 15 organ dataset

description: 15 organ dataset including two TSS and all TSS detected by CamoTSS and gene expression matrix
DOI: 10.6084/m9.figshare.25977016.v1
title: A comprehensive county-level distribution database of alien and invasive plants in China

description: Over the past half century, international trade and exchange have continued to increase in China, resulting in the 202widespread introduction of alien plant species. The accumulation of these alien species has accelerated invasion events, posing serious threats to local ecological security and economic development. Comprehensive and accurate species distribution records are extremely important for early detection, understanding dispersal dynamics, and supporting various management strategies and research initiatives. However, biodiversity databases, both global and local, often lack comprehensive and high-resolution distribution data for alien invasive plant species (AIPs). This limitation is particularly evident in China, where local databases typically provide coarse spatial data, often restricted to the provincial level, leading to a substantial underestimation of the actual distribution of AIPs. Here, we fill this gap by creating the most comprehensive distribution database for AIPs in China at a much finer spatial resolution. By integrating 73,469 distribution records from China’s online herbarium, biodiversity databases, flora, published literature, and 173,396 georeferenced records from GBIF, we built the county-level distribution database for 400 AIPs and report for the first time their presence in 2,684 administrative counties in China (92.5% of the total counties). Notably, our database provides 2.58 times more distribution records than global biodiversity data repositories such as GBIF and also includes the earliest introduction dates for each AIP. The temporal range of the records spans from 1607 to 2023, capturing over 400 years of AIP presence in China. These rigorously quality-controlled georeferenced data can be used to examine the dynamics and influencing factors of plant invasions in China. They can also serve as the most updated data reference for policy makers in designing effective AIP management policies in China. We encourage users to cite this data paper when utilizing the data, and there are no restrictions on its use for non-commercial purposes.
DOI: 10.6084/m9.figshare.26019337.v2
title: <b>Integrin αVβ3 mediates porcine deltacoronavirus infection and inflammatory response through activation of the FAK-PI3K-AKT-NF-κB signaling pathway</b>

description: Identifying the host factors required for entry will be helpful in uncovering the pathogenesis mechanisms and developing antivirals against the emerging coronavirus porcine deltacoronavirus (PDCoV). Herein, we revealed that PDCoV enters cells via the endocytic and exogenous protease-mediated pathways simultaneously. Integrins (ITG) αVβ3 is a host factor required for PDCoV infection, especially during virus adhesion, invasion, and release. Most importantly, PDCoV promotes viral infection by activating the ITGαVβ3-focal adhesion kinase (FAK)- phosphatidylinositol 3-kinase (PI3K)-serine/threonine-specific protein kinase (AKT) signaling pathway and induces inflammation by activating the ITGαVβ3-FAK-PI3K-AKT-NF-κB signaling pathway. Overall, this is the first study to identify ITGαVβ3 as an essential factor for PDCoV infection, which can help us to confirm the molecular regulatory mechanism and provide a comprehensive resource for PDCoV infection.
DOI: 10.11583/dtu.14791755.v1
title: Dataset and training files for "Is the water/Pt(111) interface ordered at room temperature?"

description: Supplementary files for the publication "Is the water-Pt(111) interface ordered at room temperature?" published in the Journal of Chemical Physics. The contents are the training set used to train the neural network potentials as well as the neural RuNNer input and output files used for training and running molecular dynamics simulations.
DOI: 10.17632/2ghxnrkr9p
title: COVID-19 in Europe at NUTS3 level

description: To aid the evaluation of the determinants and impact of the COVID-19 pandemic at a large scale, we present here a new dataset with socio-demographic, economic, public policy, health, pollution and environmental factors for the European Union at the small regions level (NUTS3). This dataset can help to monitor the COVID-19 mortality and infections at the sub-national level and enable analysis that may inform future policymaking.
DOI: 10.17632/sphbcgbtz7
title: Hamstring Myofascial Stiffness Study 2023-4

description: Data from athletes with a previous hamstring injury and controls. Shear wave elastography data from the semitendinosus and biceps femoris in KpA was collected during passive tests from 0, 45 and 90 degrees of knee flexion and during submaximal contractions at 60% of maximum isometric strength. Surface electromyography data were also collected and panoramic ultrasound images were also used to measure the anatomical cross sectional area of some athletes
DOI: 10.6084/m9.figshare.24311176.v1
title: Supplementary Material for: Childhood Trauma Leading to Interpersonal Cognitive Distortions and Rejection Sensitivity in Young Adult Relationships

description: Data was collected from 265 individuals aged 18-25. The dataset was used to test whether childhood trauma leads to cognitive distortion and whether this relationship is mediated by rejection sensitivity. The moderation effect of sex was also tested. The scales used were: Childhood Trauma Questionnaire, Interpersonal Cognitive Distortions Scale, and Adult Rejection Sensitivity Questionnaire.
DOI: 10.6084/m9.figshare.25358803.v1
title: Moonlighting dataset for HSSCOMMS

description: The dataset is an outcome of survey research conducted on <b>The effect of job satisfaction and moonlighting intentions with mediating and moderating effects of commitment and HR practices in an empirical study. </b>The data were gathered for five constructs of this empirical study—job satisfaction, organizational commitment, human resources practices, economic intentions, and moonlighting intentions—by surveying IT-enabled industry employees in Hyderabad. The data set has demographic characteristics of the study sample and the data related to nine reflective constructs for which the study was assessed
DOI: 10.6084/m9.figshare.5926591.v1
title: Habia rubica sequences

description: Sequences of 5 molecular markers:ND2MUSKACOI9ODCFGB-I5
DOI: 10.17632/66fz3h924x
title: Dissection of transcriptome dysregulation and immune characterization in women with germline BRCA1 Mutation at single-cell resolution

description: Fresh tissue of tubal fimbriated end from 3 BRCA1 carriers (BRCA1_1, 1_2, and 1_3) and 3 non-BRCA1 carriers (Normal_1, _2, and_3) were profiled by 10X genomics single cell RNA sequencing technology. These six samples also profiled by single cell TCR sequencing.
DOI: 10.17632/dm45fcn69d
title: TB2J: A python package for computing magnetic interaction parameters

description: We present TB2J, a Python package for the automatic computation of magnetic interactions, including exchange and Dzyaloshinskii-Moriya, between atoms of magnetic crystals from the results of density functional calculations. The program is based on the Green’s function method with the local rigid spin rotation treated as a perturbation. As input, the package uses the output of either Wannier90, which is interfaced with many density functional theory packages, or of codes based on localized orbitals. One of the main interest of the code is that it requires only one first-principles electronic structure calculation in the non-relativistic case (or three in the relativistic case) and from the primitive cell only to obtain the magnetic interactions up to long distances, instead of first-principles calculations of many different magnetic configurations and large supercells. The output of TB2J can be used directly for the adiabatic magnon band structure and spin dynamics calculations. A minimal user input is needed, which allows for easy integration into high-throughput workflows.
DOI: 10.17632/np8fvycwnx
title: Acceleration Data from a Laboratory Bridge Excited using a Single Rolling Axle
DOI: 10.6084/m9.figshare.16531398.v1
title: MMP-13 histoscore results based on treatment group and observation time

description: Data of histoscore analysis asess by patologist
DOI: 10.6084/m9.figshare.21695666.v1
title: RCS data for numerical testcases

description: Includes RCS data for canonical testcases in numerical methods to solve the time-domain Maxwell's equations.
DOI: 10.6084/m9.figshare.22344427.v1
title: pertrubseq_norman_single

description: Perturb-seq dataset by Norman at el. 2019 processed for analysis using biolord to include only mean of single perturbations.
DOI: 10.6084/m9.figshare.22707850.v1
title: Datasets for "Saving energy via short and shallow torpor bouts"

description: Dataset associated to Nowack J, N Mzilikazi and KH Dausmann (2023). Saving energy via short and shallow torpor bouts. Journal of Thermal Biology. <br> Datset 1: Ibutton data from three male Galago moholi over the austral winter (data recorded in Nyslvley Nature Reseve, South Africa) <br> Dataset 2: Summary data derived from ibutton data in dataset 1, including daily minimum and maximum body temperatues, modal body temperatures during resting and activity for each individual as well as minimum, maximum and daily amplitude in ambiet temperatures.
DOI: 10.6084/m9.figshare.23607705.v1
title: patient65.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.28928012.v1
title: Suppl Figure 4_Pranevicius et al (2025)

description: Suppl. Fig. 4
DOI: 10.6084/m9.figshare.7578026.v1
title: All data

description: Magnetodielectric effects in magnetorheological suspensions based on beekeeping products
DOI: 10.17632/dzpn2d4h29
title: Match research to the SDGs dataset v20201113
DOI: 10.17632/nfhbbjx6b7
title: Maize Variety Dataset for Classification

description: The collection consists of images of three varieties of maize seeds: Wang Dataa, Sanzal Sima, and Bihilifa, obtained from Heritage Seeds Ghana. These maize cultivars are frequently grown in the northern area of Ghana. Heritage Seeds Ghana categorized and labeled the seeds for each of the three kinds manually at the collection station. The images were taken with a 12-megapixel camera on a phone, resulting in original JPEG images of different sizes. The photos were resized to dimensions of 224 by 224, ensuring uniformity. A blue background was employed during the capture process to maintain uniformity and enhance visibility in daylight situations. The photos were subsequently categorized into their corresponding classes: Wang Dataa, Sanzal Sima, and Bihilifa. In total, the dataset used for this study consists of 17,724 color photos.
DOI: 10.17632/sg6x6d5f84
title: Mexico's forest diversity: forest-vegetation provinces

description: The data are associated with the following article (please look there for all information): Ricker, M., M.Á. Castillo-Santiago, G. Gutiérrez-García, E.M. Martínez, and E. Mondragón. Dataset about Mexico’s forest diversity: site locations of tree species, wood densities, and geographic database of forest-vegetation provinces. Data in Brief. Under review (January 2024).
DOI: 10.6084/m9.figshare.19962174.v1
title: Early Experience of Robotic Hysterectomy for Treatment of Benign Uterine Disease

description: Abstract Objectives To demonstrate the initial experience of robotic hysterectomy to treat benign uterine disease at a university hospital in Brazil. Methods A cross-sectional study was conducted to review data from the first twenty patients undergoing robotic hysterectomy at our hospital. The surgeries were performed from November 2013 to August 2014, all of them by the same surgeon. The patients were reviewed for preoperative characteristics, including age, body mass index (BMI), indications for the hysterectomy and previous surgeries. Data of operative times, complications, postoperative pain and length of hospital stay were also collected. Results The total operating room time was 252.9 minutes, while the operative time was 180.7 minutes and the console time was 136.6 minutes. Docking time was 4.2 minutes, and the average undocking time was 1.9 minutes. There was a strong correlation between the operative time and the patient's BMI (r = 0.670 ; p = 0.001). The console time had significant correlation with the uterine weight and the patient's BMI (r = 0.468; p = 0.037). A learning curve was observed during docking and undocking times. Conclusion Despite its high cost, the robotic surgery is gaining more space in gynecological surgery. By the results obtained in our hospital, this surgical proposal proved to be feasible and safe. Our initial experience demonstrated a learning curve in some ways.
DOI: 10.6084/m9.figshare.25910563.v1
title: ARRIVE CHECKLIST

description: <i>Kadukkai maathirai</i> (Indian herbal drug) prevents hepatocellular cancer progression by enhancing GSTM1 expression and modulating β catenin transcription: in-silico and in-vivo study
DOI: 10.6084/m9.figshare.26062909.v1
title: Soil–Plant–Pollinator Relationships in Urban Grass and Meadow Habitats: Competing Benefits and Demands of Tall Flowering Plants on Soil and Pollinator Diversity - data and code

description: Collected pollinator, plant and soil fauna data, and associated R code, for the paper: Soil–Plant–Pollinator Relationships in Urban Grass and Meadow Habitats: Competing Benefits and Demands of Tall Flowering Plants on Soil and Pollinator Diversity
DOI: 10.6084/m9.figshare.5121313.v1
title: Supplementary Material for: Supportive Therapie bei schizophrenen Störungen

description: Nach der empirischen Absicherung der Wirksamkeit Kognitiver Verhaltenstherapie (KVT) bei schizophrenen Psychosen stellt sich zunehmend die Frage nach den Wirkmechanismen. In diesem Zusammenhang spielt die supportive Therapie (ST) eine bedeutsame Rolle als unspezifische Kontrollbedingung. Die vorliegende Arbeit stellt den derzeitigen Stand der Forschung zur ST bei schizophrenen Störungen dar. Heterogene Definitionen von ST führen dabei zu schwer vergleichbaren Ergebnissen. Eine Theorie möglicher Wirkmechanismen von ST wird erläutert und die Moderator- oder Mediatorfunktion der therapeutischen Beziehung diskutiert. Aufbauend auf der Darstellung der Wirkmechanismen werden eine eigene Konzeption der ST sowie erste Ergebnisse zur Rolle der therapeutischen Allianz aus einer laufenden Studie zu Psychotherapie bei psychotischen Symptomen vorgestellt.
DOI: 10.6084/m9.figshare.7042706.v1
title: Supplementary Material for: Effects of a DPP4 Inhibitor on Progression of NASH-related HCC and the p62/ Keap1/Nrf2-Pentose Phosphate Pathway in a Mouse Model

description: <b><i>Background and Aims:</i></b> Diabetes mellitus is a risk factor for hepatocellular carcinoma (HCC) in patients with nonalcoholic steatohepatitis (NASH). Dipeptidyl peptidase-4 inhibitor (DPP4i), an antidiabetic agent, is reported to affect cell proliferation. We aimed to investigate the effects of DPP4i on the progression of NASH-related HCC and its metabolic pathway in a mouse model. <b><i>Methods:</i></b> A mouse model of NASH-related HCC was used in this study. Eight-week-old mice were administered either DPP4i (sitagliptin 30 mg/kg/day; DPP4i group; <i>n</i> = 8) or distilled water (control group; <i>n</i> = 8) for 10 weeks. Then, HCC progression was evaluated by computed tomography. Changes in metabolites of HCC tissue were analyzed by metabolomic analysis. The localization and expression of p62, Keap1, Nrf2, and MCM7 were evaluated by immunostaining and immunoblotting, respectively. <b><i>Results:</i></b> The number and volume of HCC were significantly lower in the DPP4i group than in the control group (1.8 ± 1.2 vs. 4.5 ± 1.7/liver, <i>p</i> &lt; 0.01; 11.2 ± 20.8 vs. 37.5 ± 72.5 mm<sup>3</sup>/tumor, <i>p</i> &lt; 0.05). Metabolome analysis revealed that DPP4i significantly increased 6-phosphogluconic acid and ribose 5-phosphate levels and decreased the AMP-to-adenine and GMP-to-guanine ratios (AMP-to-adenine ratio 0.7 ± 0.2 vs. 2.0 ± 1.2, <i>p</i> &lt; 0.01; GMP-to-guanine ratio 0.6 ± 0.3 vs. 1.5 ± 0.7, <i>p</i> &lt; 0.01). Immunostaining showed that p62 was localized in the cytoplasm of HCC in the DPP4i group, while p62 was localized in the nucleus of HCC in the control group. Keap1, Nrf2, and MCM7 expression decreased significantly in the DPP4i group compared to that in the control group. <b><i>Conclusions:</i></b> We demonstrated that DDP4i prevented the progression of NASH-related HCC in a mouse model. Furthermore, metabolome analysis revealed that DDP4i downregulated the pentose phosphate pathway with suppression of the p62/Keap1/Nrf2 pathway. Thus, DDP4i may prevent tumor progression through inhibition of metabolic reprogramming in NASH-related HCC.
DOI: 10.17632/77pxrcssj3
title: Brain Injury Neuromodulation Reach-to-Grasp

description: Clinical trials posted and filtered for brain injury (Stroke, TBI), neuromodulation treatments (tDCS, TMS) applied on upper limb movement rehabilitation.
DOI: 10.17632/my3y7nv8ns
title: Data on the Effectiveness of Malaysian Government Assistance Program on Urban B40 Households during COVID-19 Pandemic

description: This data article presents the data on the effectiveness of the Malaysian government assistance program on urban B40 households during the COVID-19 pandemic. Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Data were collected based on six regional locations namely northern, central, eastern, and southern parts of Peninsular Malaysia and East Malaysia. The survey was conducted in six Malaysian states selected based on regional location covering the Peninsular and West part of Malaysia viz. Johor, Pahang, Selangor, Pulau Pinang, Sabah and Sarawak. The Department of Statistics Malaysia (DOSM) utilized a simple random sampling method to identify the eligible participants from each state based on the sampling frame identified. Data were collected by a team of enumerators from October 2020 until May 2021. The datasets contain reliable data on the socio-economic profile and government assistance programs during the COVID-19 pandemic on urban B40 households as the data sampling is representative of the population in Malaysia. The data provides important information on the different types of government assistance programs received by the urban B40 Households in Malaysia. The findings could be useful to evaluate the effectiveness of the financial aid received during a crisis.
DOI: 10.17632/pd64hfttwy
title: Diabetes

description: Diabetes Prediction Dataset

This dataset contains medical diagnostic measurements for 768 female patients, used to predict the onset of diabetes. The data includes various physiological factors and a class variable that indicates whether or not a patient has diabetes. The dataset is structured as follows:

Pregnancies: Number of times the patient has been pregnant.
Glucose: Plasma glucose concentration (mg/dL) after 2 hours in an oral glucose tolerance test.
BloodPressure: Diastolic blood pressure (mm Hg).
SkinThickness: Triceps skinfold thickness (mm).
Insulin: 2-Hour serum insulin (mu U/ml).
BMI: Body mass index, calculated as weight in kg/(height in m)^2.
DiabetesPedigreeFunction: A function which scores the likelihood of diabetes based on family history.
Age: Age of the patient in years.
Outcome: Binary variable (0 or 1) indicating whether the patient has diabetes (1) or not (0).
Usage:
This dataset is widely used for training machine learning models to predict the likelihood of diabetes. It's suitable for binary classification tasks, and can be utilized for projects in data science, healthcare analytics, and machine learning education