cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mj2h9yngkw
title: Open Source System for Monitoring Wireless Outdoor Networks in Mining

description: The S11D mining complex in Brazil, situated in Pará state, extracts 20 million tons of iron each quarter. Connecting via a standard 802.11b/g/n wireless network is crucial for mine operations across vast distances. A local team employs a network monitoring tool called Ekahau Site Survey to guarantee the proper functioning of the network. However, due to the harsh terrain and dangerous nature of S11D operations, this tool fails to gather data from all points of interest, leading to interpolated maps that may not accurately represent the network's overall quality. In this work, we propose a platform that can be attached to mobile machines during operations to automatically collect network parameters such as channelization, RSSI, latency, packet loss, and bandwidth without human intervention. Using this network data, we generate an RSSI map using Kriging, which the local team can use. Comparison tests conducted in the laboratory and the field demonstrate that the platform performs similarly to Ekahau in capturing network parameters, ensuring its use in day-to-day operations for mapping.
DOI: 10.6084/m9.figshare.23295872.v1
title: Physical Activity and Mental Health in School-Aged Children: A Prospective Two-Wave Study during the Easing of the COVID-19 Restrictions (Dataset)

description: Dataset of the article "Physical Activity and Mental Health in School-Aged Children: A Prospective Two-Wave Study during the Easing of the COVID-19 Restrictions." Data are in SPSS format; the description of variables and values is included.
DOI: 10.6084/m9.figshare.28955696.v2
title: Winther-Have_Supplementary_Information.xlsx

description: Supplementary material for Winther-Have et al. 2025
DOI: 10.17632/phtt5kn26j
title: eBikes Commuting Intention and Behaviour 

description: A survey dataset on factors influencing Malaysian youth’s intention and behaviour to commute with e-Bikes. The proposed framework was developed based on the Theory of Planned Behavior, including 10 constructs and 46 measurement items adapted from previous studies. A total of 699 valid responses were collected for the study.
DOI: 10.6084/m9.figshare.25906474.v1
title: Germline missense MSH6 VUS - 2

description: Molecular dynamics simulation of the VUS based on the ClinVar database, the simulation is up to 100 ns.
DOI: 10.17632/cbdg4j2pnv
title: Self-Fulfilling Debt Crises, Fiscal Policy and Investment

description: This repository contains the replication files for the paper "Self-Fulfilling Debt Crises, Fiscal Policy and Investment" by Carlo Galli. Please refer to the readme for further instructions on how to use the files.
DOI: 10.6084/m9.figshare.24998501.v1
title: Vectors

description: <b>Visual lateralization in the sky: Geese manifest visual lateralization when flying with pair mates</b>
DOI: 10.6084/m9.figshare.26887177.v2
title: Example data (Large-scale geographic and demographic characterisation of informal settlements fusing remote sensing, POI, and open geo-data)

description: Please download it to put in /Input if you want to run demo_run.py.
DOI: 10.17632/bbvfscfrrt
title: Fintech, Information Heterogeneity, and the Regional Distribution Effects of Corporate Financing Constraints

description: Our research titled "FinTech, Information Heterogeneity, and the Regional Distribution Effects of Corporate Financing Constraints" explores the dual role of Fintech in China's banking sector from 2010 to 2021. We utilize bank-enterprise relationship data to demonstrate how Fintech serves as a "double-edged sword." While it improves banks' ability to access standardized information, thereby easing financing constraints in less developed regions, it simultaneously hampers their capacity to handle non-standardized information, which could negate these benefits. The datasets used in this study include:Enterprise characteristic data, primarily from the Wind database, covering 2,514 non-financial A-share listed companies in central and western China.Per-loan data, sourced from the CSMAR database, featuring approximately 130,000 loan entries.
Fintech data of banks, mainly from the "Peking University Chinese Commercial Bank Digital Transformation Index" (Xie and Wang, 2022), which includes digital transformation data for 221 Chinese banks. The study covers the period from 2010 to 2021. It is important to note that the primary dataset is sourced from the CSMAR database, containing bank loan information to listed companies. This is a paid resource, typically accessed through institutional subscriptions. For the Fintech data, we used the "Index of Digital Transformation of Chinese Commercial Banks" published by Peking University (Xie & Wang, 2022). Access to this dataset requires direct communication with Peking University's research team. Due to copyright and data privacy concerns, specific names of listed companies or their stock codes have not been disclosed. These details have been omitted from the data files in compliance with relevant laws and regulations. Finally, according to the Readme file and the provided code, the results presented in this paper can be replicated.
DOI: 10.17632/s2rkc4pf97
title: The Impact of Maternal Bacteremia on Perinatal Outcomes in Women with Intrapartum Fever: A Retrospective Cohort Study

description: A retrospective-cohort study at a tertiary-hospital (2010-2022) focused on women attempting vaginal delivery who were diagnosed with IPF.
DOI: 10.6084/m9.figshare.11871045.v1
title: Supplementary Material for: Association Analysis of Tumor Necrosis Factor Alpha Promoter Polymorphisms and Vitiligo Susceptibility in South Indian Tamils

description: Tumor necrosis factor alpha (TNF-α) has been associated with the pathogenesis of several autoimmune diseases. Also, various studies in different ethnics showed an association between TNF-α gene polymorphisms and susceptibility to vitiligo. The paucity of genetic data led us to undertake this study to evaluate the association of five TNF-α SNPs (rs1799964, rs1800630, rs1799724, rs1800629, and rs361525) with the development of vitiligo in South Indian Tamils. A total of 264 vitiligo patients and 264 healthy controls were recruited and TNF-α genotyping was performed using amplification-refractory mutation system polymerase chain reaction and TaqMan allele discrimination assay. Circulatory TNF-α levels were measured by enzyme-linked immunosorbent assay. We observed that a single polymorphic allele A in the promoter region -308 (rs1800629) conferred significant risk to develop vitiligo (<i>p</i> = 0.0002, OR = 1.70, 95% CI = 1.28–2.25), whereas the other polymorphisms failed to contribute to disease risk (<i>p</i> &gt; 0.05). From the constructed haplotypes, TCCAG was found to be a significant risk factor for vitiligo (<i>p</i> &lt; 0.05). Also, a strong linkage disequilibrium was observed between the following SNPs: (1) rs1799964 and rs1800629 (2) rs1800630 and rs1799724 (D’ = 0.90). Analysis of the influence of genotype on phenotypes revealed that the A allele of rs361525 was a risk factor for vitiligo in females (<i>p</i> = 0.04, OR = 0.45, 95% CI = 0.21–0.95), whilst the rs1800629 allele conferred protection against early disease onset (<i>p</i> &lt; 0.05). A statistically significant difference in plasma TNF-α levels was found between cases and controls (<i>p</i> &lt; 0.05). The TNF-α -308A allele and TCCAG haplotype were identified as genetic risk factors for vitiligo susceptibility in South Indian Tamils.
DOI: 10.6084/m9.figshare.12847493.v1
title: Additional annotation files_GenSAS

description: Genome annotation files for Caligus rogercresseyi
DOI: 10.6084/m9.figshare.17427401.v1
title: Coordinates of the sites surveyed in the BIODESERT survey

description: Coordinates of the plots surveyed in the BIODESERT global survey. These data were used to generate Figure 1 in the article "Maestre, F. T. et al. 2022. The BIODESERT survey: assessing the impacts of grazing on the structure and functioning of global drylands. <em>Web Ecology</em> 22: 75-96"<br>
DOI: 10.6084/m9.figshare.22639519.v1
title: COVID-19 daily infected, recovered and death number in each region

description: Each .xlsx file shows the number of daily COVID-19 infected, recovered and deceased cases in early 2020 for Italy, Spain, Wuhan, Turkey, Hubei, Romania, Germany and Denmark.
DOI: 10.6084/m9.figshare.25283272.v1
title: Data from behavioural no-choice and choice assays from Behavioural consequences of intraspecific variability in a mate recognition signal

description: Raw data and abbreviation explanations
DOI: 10.6084/m9.figshare.4805848.v2
title: MSR 2017 Attractiveness replication package

description: Replication package for the MSR project titled "The Impact of the Adoption of Continuous Integration on Developer Attraction and Retention".
DOI: 10.17632/cfdzx2rh8z
title: Data for: Reductive Transformations of Layered Manganese Oxides by Small Organic Acids and the Fate of Trace Metals

description: Raw data for all figures in the manuscript by Flynn and Catalano to be published by Geochimica et Cosmochimica Acta as "Reductive Transformations of Layered Manganese Oxides by Small Organic Acids and the Fate of Trace Metals".
DOI: 10.17632/h564pys4w5
title: Bangkok SAM files

description: Data for the analyses of Bangkok City with System Advisor Model (SAM).
DOI: 10.17632/ts5pdpv3v4
title: Data for: Kinetics of elemental sulfur reduction by petroleum hydrocarbons and the implications for hydrocarbon thermal chemical alteration

description: Experimental results of elemental sulfur reacted with hydrocarbons under pyrolytic conditions.
DOI: 10.4121/18092750.v1
title: Identification of molecular mechanism of the anti-lung cancer effect of Jin Ning Fang using network pharmacology and its experimental verification

description: A549 cells were treated with JNF for 48 h. CCK-8 assay showed that cell viability in JNF was significantly lower than in the control group (100.00 ± 1.47 vs. 82.59 ± 2.81, P &lt; 0.01), suggesting that JNF observably inhibited the proliferation of lung cancer cells. Meanwhile, JNF increased the apoptosis rate in A549 cells compared to that in the control group (0.74 ± 0.03 vs. 2.20 ± 0.14, P &lt; 0.01), indicating that JNF treatment may induce apoptosis in lung cancer cells. Next, the expression level of hub genes identified from pharmacological network was detedcted by qPCR analysis. Result showed that JNF could significantly decrease the expression level of <i>FDPS</i>, <i>PIM1</i>, <i>VCAM1</i>, <i>SLC29A1</i>, <i>NQO1</i>, and <i>ESR1</i> (all P &lt; 0.05), while JNF markedly increased the mRNA levels of <i>AR</i> and <i>ANPEP</i> (all P &lt; 0.05).
DOI: 10.6084/m9.figshare.16936897.v1
title: Supplementary Material for: Vaccination Setting of Patients with Autoimmune Diseases in Times of Severe Acute Respiratory Syndrome Coronavirus Type 2 Pandemic Using the Example of Multiple Sclerosis Patients: A Longitudinal Multicenter Study

description: <b><i>Background:</i></b> Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection represents a serious health risk, especially in chronically ill people. Multiple sclerosis (MS) is the most common chronic immune-mediated neurological disease. Vaccinations play an important role in the therapeutic MS management. This study aimed at determining MS patients’ attitudes toward vaccinations and governmental measures before and during the SARS-CoV-2 pandemic, including associations with sociodemographic and clinical variables. <b><i>Methods:</i></b> In a longitudinal, multicenter study, 200 MS patients were investigated regarding their vaccination attitudes before and after the first wave of the SARS-CoV-2 pandemic. Data on vaccination status and burden (physical, psychological, and social) experienced as caused by the pandemic and related governmental safety measures were registered. <b><i>Results:</i></b> Patients with progressive MS felt significantly more pandemic-burdened than patients with relapsing-onset MS (<i>p</i> &lt; 0.001). Older patients were more frequently willing to get vaccinated against SARS-CoV-2 than younger patients (<i>p</i> &lt; 0.001). After the first pandemic wave, patients with pre-pandemic willingness to comply with vaccination recommendations were more likely to accept recommended standard vaccinations (60% vs. 36%) and a possible SARS-CoV-2 vaccination than pre-pandemic nonwilling patients (66.7% vs. 42.0%). <b><i>Conclusions:</i></b> The vaccination topic was not immediately present in many patients before the pandemic. MS patients need comprehensive and understandable education meeting their concerns using evidence-based and convincing arguments on the subject of vaccination, particularly younger patients. Older patients are already more often willing to become vaccinated. Complete vaccination status is necessary to avoid multiple infections.
DOI: 10.6084/m9.figshare.22691041.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.26950660.v2
title: A multi-spectral and hyperspectral image dataset for evaluating the health status of avocado, olive and vineyard

description: This dataset contains multi-spectral images, reflectance values in the NIR and SWIR region (350 - 2500 nm), weight, leaf moisture content, chlorophyll, and nitrogen content of leaves from avocado, olive, and vineyard trees. The dataset is composed of 106 leaves of avocado, 111 leaves of vineyard, and 106 leaves of grape trees. The samples underwent a dehydration process in an oven, resulting in a total of 5 dehydration stages. The multi-spectral images are presented as 5 files from the Blue, Green, Red, Red-Edge and Near Infrared band as .tif files. Radiometric calibration was performed on the images, following Micasense guidance procedures.
DOI: 10.17632/98v85vrhvr
title: Metamodels for effective stress determination

description: This repository contains three deep neural network (DNN) based metamodels including training datasets. 
- DNN to predict effective stresses based on first principal stresses
- DNN to predict effective stresses based on von Mises stresses under plane strain
- DNN to predict effective stresses based on von Mises stresses under plane stress
The metamodels are used to predict effective stress in notched flat bars based on the Theory of critical distances (TCD) methodology with outputs for the point method (PM), line method (LM), and area method (AM). The models are trained with the MATLAB Deep Learning toolbox using data from a parametric study with finite element analysis (FEA) simulations using a range of notch geometrical parameters under varied loading conditions. These metamodels can simplify the process of estimating notch failure, through eliminating the need for FEA analysis and stress field integration for each individual notch geometry.
DOI: 10.17632/d8pbz2y4w7
title: IoT Sensor Node Data

description: The data is collected from the deployed sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics and environmental parameters, which are essential to construct machine learning predictive models for determining water loss or retention in the form of Evapotranspiration.
DOI: 10.6084/m9.figshare.25127246.v1
title: Integrated Seurat Rds object - Fusion-negative rhabdomyosarcoma

description: This is data relevant to the publication "Single cell transcriptomic profiling identifies tumor-acquired and therapy-resistant cell states in pediatric rhabdomyosarcoma" [https://doi.org/10.1101/2023.10.13.562224]. This is an R object in Rds format that corresponds to Figure 4.
DOI: 10.6084/m9.figshare.27988247.v1
title: Discussion of “Friction Factors for Flow through Cracks in Concrete Hydraulic Structures” By T. L. Wahl and J. D. Mortensen.

description: The MATLAB (2024b) code and data used in 'Discussion of “Friction Factors for Flow through Cracks in Concrete Hydraulic Structures” By T. L. Wahl and J. D. Mortensen.'
DOI: 10.6084/m9.figshare.29174333.v3
title: Behavioral state and stimulus strength regulate the role of somatostatin interneurons in stabilizing network activity

description: We investigated the role of somatostatin-expressing (SST) interneurons in inhibition stabilization within mouse primary visual cortex. By selectively blocking glutamatergic inputs to SST cells, we observed paradoxical facilitation of SST activity with increasing stimulus contrast and arousal—a hallmark of inhibition stabilization. Our computational modeling revealed that higher sensory input and arousal drive the network toward regimes where other interneuron classes cannot maintain stability alone. We demonstrate that SST cells' contribution to cortical processing is state-dependent, becoming increasingly critical as input strength and behavioral arousal increase, thereby enabling stable sensory encoding across diverse contexts.
DOI: 10.6084/m9.figshare.7519646.v1
title: annotation.xls

description: the annotation information of the transcriptome of Harmonia axyridis
DOI: 10.17632/cpfky5bygm
title: Impact of Foreign Institutional Investor (FII) Flows on Indian Stock Market Dynamics: A Time-Varying Parameter Analysis

description: This study examines the time-varying impact of Foreign Institutional Investor (FII) flows on the Indian stock market (Nifty 50) from 2000 to 2024, using Time-Varying Parameter (TVP) models, including TVP regression, TVP-VAR, and TVP-GARCH. Findings reveal that FII flows significantly influence returns and volatility, with stronger effects during bullish phases and crises amplifying volatility via outflows. Macroeconomic factors (e.g., exchange rates, S&P 500) mediate these dynamics, with structural breaks identified during major events (e.g., 2008 crisis, 2020 COVID-19). The study underscores the need for adaptive regulations to manage FII-driven volatility, offering policy insights for enhancing market resilience.
DOI: 10.17632/ydrm75xywg
title: Angiographic dataset for stenosis detection

description: In this dataset, we present a set of angiographic imaging series of one hundred patients who underwent coronary angiography using Coroscop (Siemens) and Innova (GE Healthcare) image-guided surgery systems at the Research Institute for Complex Problems of Cardiovascular Diseases (Kemerovo, Russia). All patients had angiographically and/or functionally confirmed one-vessel coronary artery disease (≥70% diameter stenosis by quantitative coronary analysis or 50 - 69% with FFR (fractional flow reserve) ≤ 0.80 or stress echocardiography evidence of regional ischemia). For the purpose of our study, significant coronary stenosis was defined according to 2017 US appropriate use criteria for coronary revascularization in patients with stable ischemic heart disease. The study design was approved by the Local Ethics Committee of the Research Institute for Complex Issues of Cardiovascular Diseases (approval letter No. 112 issued on May 11, 2018). All participants provided written informed consent to participate in the study. Coronary angiography was performed by the single operator according to the indications and recommendations stated in the 2018 ESC/EACTS Guidelines on myocardial revascularization. The presence or absence of coronary stenosis was confirmed by the same operator using angiography imaging series according to the 2018 ESC/EACTS Guidelines on myocardial revascularization.

Angiographic images of the radiopaque overlaid coronary arteries with stenotic segments were selected and then converted into separate images. An interventional cardiologist rejected non-informative images and selected only those containing contrast passages through a stenotic vessel. A total of 8325 grayscale images (100 patients) of 512×512 to 1000×1000 pixels were included in the dataset. Data were labeled using LabelBox, a free version of SaaS (Software as a Service).

We additionally estimated the size of the stenotic region by computing the area of the bounding box. Similar to the Common Objects in Context dataset, we divided objects by their area into three types: small (area < 322), medium (322 ≤ area ≤ 962), and large (area > 962). 2509 small objects (30%), 5704 medium objects (69%), and 113 large objects (1%) were obtained in the input data.
DOI: 10.6084/m9.figshare.24131517.v2
title: Datasets and codes for "Noise pollution alters the diet composition of invertebrate consumers both in and beyond a noise-exposed grassland ecosystem"

description: This is the datasets and code used for analyses of "Noise pollution alters the diet composition of invertebrate consumers both in and beyond a noise-exposed grassland ecosystem".
DOI: 10.6084/m9.figshare.25976230.v1
title: Supplementary Material for: Donor Dependent Variations in Systemic Oxidative Stress and Their Association with One-Year Graft Outcomes In Kidney Transplantation

description: Introduction: Oxidative stress has been implicated in complications after kidney transplantation (KT), including delayed graft function and rejection. However, its role in long-term post-transplant outcomes remains unclear.
Methods: We investigated oxidative damage and antioxidant defense dynamics, and their impact on the graft outcomes, in 41 KT recipients categorized by type of donation over 12 months. Oxidative status was determined using OxyScore and AntioxyScore indexes, which comprise several circulating biomarkers of oxidative damage and antioxidant defense. Donor types included donation after brain death (DBD [61.0%]), donation after circulatory death (DCD [26.8%]) and living donation (LD [12.1%]).
Results: There was an overall increase in oxidative damage early after transplantation, which was significantly higher in DCD as compared to DBD and LD recipients. The multivariate adjustment confirmed the independent association of OxyScore and type of deceased donation with delayed graft function, donor kidney function and induction therapy with anti-thymocyte globulin. There were no differences in terms of antioxidant defense. Lower oxidative damage at day 7 predicted better graft function at one year post-transplant only in DBD recipients.
Conclusion: DCD induced greater short-term oxidative damage after KT, whereas the early levels of oxidative damage were predictive of the graft function one year after KT among DBD recipients.
DOI: 10.6084/m9.figshare.653682.v2
title: Polarization by scattering of light by dust grains

description: Scattering of light by dust particle, geometry. The scattered radiation attain maximum<br>polarization at right angles to the incident radiation (inspired by Pedrotti and Pedrotti, 1992, ,<br>p. 305).