cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bhmdr45bh2
title: The IQ-OTH/NCCD lung cancer dataset

description: The Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) lung cancer dataset was collected in the above-mentioned specialist hospitals over a period of three months in fall 2019. It includes CT scans of patients diagnosed with lung cancer in different stages, as well as healthy subjects. IQ-OTH/NCCD slides were marked by oncologists and radiologists in these two centers. The dataset contains a total of 1190 images representing CT scan slices of 110 cases. These cases are grouped into three classes: normal, benign, and malignant. of these, 40 cases are diagnosed as malignant; 15 cases diagnosed with benign; and 55 cases classified as normal cases. The CT scans were originally collected in DICOM format. The scanner used is SOMATOM from Siemens. CT protocol includes: 120 kV, slice thickness of 1 mm, with window width ranging from 350 to 1200 HU and window center from 50 to 600 were used for reading. with breath hold at full inspiration. All images were de-identified before performing analysis. Written consent was waived by the oversight review board. The study was approved by the institutional review board of participating medical centers. Each scan contains several slices. The number of these slices range from 80 to 200 slices, each of them represents an image of the human chest with different sides and angles. The 110 cases vary in gender, age, educational attainment, area of residence and living status. Some of them are employees of the Iraqi ministries of Transport and Oil, others are farmers and gainers. Most of them come from places in the middle region of Iraq, particularly, the provinces of Baghdad, Wasit, Diyala, Salahuddin, and Babylon.

if you use this dataset you should cite the following articles:

1- Diagnosis of lung cancer based on CT scans using CNN
can be cited as :
(H. F. Al-Yasriy, M. S. Al-Husieny, F. Y. Mohsen, E. A. Khalil, and Z. S. Hassan, "Diagnosis of Lung Cancer Based on CT Scans Using CNN," IOP Conference Series: Materials Science and Engineering, vol. 928, 2020.)

2- Evaluation of SVM performance in the detection of lung cancer in marked CT scan dataset
can be cited as:
(H. F. Kareem, M. S. A.-Husieny, F. Y. Mohsen, E. A. Khalil, and Z. S. Hassan, “Evaluation of SVM performance in the detection
of lung cancer in marked CT scan dataset,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 3,
pp. 1731-1738, 2021, doi: 10.11591/ijeecs.v21.i3.pp1731-1738.)

3- The IQ-OTH/NCCD lung cancer dataset
can be cited as :
(alyasriy, hamdalla; AL-Huseiny, Muayed  (2023), “The IQ-OTH/NCCD lung cancer dataset”, Mendeley Data, V4, doi: 10.17632/bhmdr45bh2.4)
DOI: 10.6084/m9.figshare.27896847.v1
title: Code in Python for the paper AI, Ethics, and Cognitive Bias

description: This this the code for full replication of the results in the paper.
DOI: 10.6084/m9.figshare.5644294.v3
title: The fascicle mechanical properties

description: The quantitative data relating to the derived fascicle mechanical properties are contained in a MS Excel file, mechprop.xls<br>The file contains the following worksheets, namely 'Fascicle diameters', 'Derived parameters', 'Mean-individual mouse' and 'Mean-age group'. The data in the 'Derived parameters' worksheet have been derived using the algorithm found in the code 'strainenergy_v4_1.m'. This dataset was used in the study reported in the paper, Goh et al. 2012, J. Applied Physiology, 113: 878–888, 2012. Of note, an earlier version of the strainenergy code has generated a dataset (see Goh et al. 2008, ASME J Biomech Eng, 13: 021011) which yielded slightly different values of sU and E to those reported in these worksheets, namely 'Derived parameters', 'Mean-individual mouse', and 'Mean-age-group'. However, the age-variation trend in the values reported in the current worksheets, the final quantitative results (i.e. statistical conclusions) and the interpretations are still the same as those reported in the Goh et al. 2008 paper.
DOI: 10.17632/xtwhbc25hj
title: [Dataset] Multidisciplinary evaluation of biofabricated starch nanoscaffolds incorporating phyto-synthesized CuO nanoparticles from Dictyota extract

description: This dataset provides a multidisciplinary assessment of starch-based nanoscaffolds integrated with copper oxide nanoparticles (CuO NPs) synthesized using Dictyota sp., a brown macroalga, as a sustainable phytoreduction agent. UV-visible spectroscopy (UV-Vis) confirms CuO NP formation via characteristic plasmonic absorption bands, while Fourier-transform infrared spectroscopy (FT-IR) identifies functional groups in the algal extract (e.g., polyphenols, polysaccharides) involved in nanoparticle synthesis and stabilization, alongside interactions (e.g., hydrogen bonding) between starch polymers and CuO NPs. X-ray diffraction (XRD) validates the crystalline structure and phase purity of the nanoparticles, and scanning electron microscopy (SEM) reveals the nanoscaffold’s porous architecture, surface morphology, and homogeneous nanoparticle dispersion. Thermal gravimetric analysis (TGA) quantifies thermal stability, demonstrating enhanced degradation resistance of the nanocomposite due to CuO NP reinforcement. Dynamic light scattering (DLS) profiles nanoparticle hydrodynamic size, polydispersity, and colloidal stability, essential for biocompatibility evaluation. The dataset underscores the efficacy of Dictyota extract in enabling eco-friendly CuO NP synthesis while improving scaffold properties, such as mechanical robustness, controlled biodegradation, and thermal resilience. These biofabricated nanocomposites hold potential for biomedical applications, including tissue engineering, antimicrobial coatings, or drug delivery systems, where sustainable materials are prioritized. By combining green synthesis with advanced analytical workflows, this resource bridges phytochemistry, material science, and nanotechnology, offering insights into scalable, low-toxicity biomaterial design. Researchers can leverage this multidisciplinary framework to optimize algal-mediated synthesis protocols, correlate structural features with functional performance, and engineer starch-based nanohybrids for targeted ecological and biomedical innovations. The work highlights the role of marine algae in advancing eco-conscious nanotechnology and circular material economies.
DOI: 10.17632/y8wdbn458k
title: Negative impacts of free migration

description: Free migration is a common phenomenon in socio-economic development leading to population change and labor redistribution by territory. The process of redistributing labor through migration is one of the crucial factors for socio-economic development, especially concerning natural resources and the environment. It also leads to a negative impact on the increase and assurance of national defense and security. The article analyzes and evaluates the negative impacts of the free migration of ethnic minorities in the northern mountainous provinces of Vietnam on socio-economic development and national defense security assurance. Free migration for ethnic minorities in the northern mountainous areas of Vietnam has caused consequences for a long time. Therefore, the proposal of solutions in this article to reduce the pessimistic effects of free migration aims to meet a dilemma in theory and practice. Achieving this goal article uses both qualitative and quantitative research methods on SEM model analysis to assess the negative impacts of the free migration of ethnic minorities in the northern mountainous provinces for immigration, emigration, and migrants. From there, the work draws policy recommendations for local authorities to limit negative impacts to ensure sustainable development goals. The analysis results of the article contribute to a complete awareness of the negatives of free migration in Vietnam, and Vietnam's policies in solving this problem also contribute to the section that provides data analyzing the situation of free migration in the world.
DOI: 10.6084/m9.figshare.24303139.v4
title: How Coarse Analysis Can Obscure Key Trends - A Multi-Scale Study Using Very High-Resolution Intra-Urban Land Data

description: Land use change (LUC) mechanisms are vital for understanding change processes and policy formulation. However, most previous studies neglected intra-urban land use evolution and the influence of spatial resolution. This study designed a multi-scale LUC driver analysis framework to analyze the drivers of intra-urban land use expansion in selected cities in Hunan Province, China, and explored the impact of spatial resolution on driver analysis. First, very high-resolution intra-urban land use survey data were used to explore the driving mechanisms based on Random Forest and Spearman's correlation analysis at 2 m resolution. Then, results from other resolutions (5 m, 10 m, 30 m, 60 m, 90 m, and 120 m) were compared to the 2 m resolution. A scale effect assessment strategy based on Spearman's correlation analysis, Sen's slope, and Mann-Kendall (MK) trend test was devised to analyze the patterns of change in the driver mining results with spatial resolution. Findings reveal that economic, topographic, demographic, transportation and industrial factors predominantly drive intra-urban land use expansion, with different categories emphasizing specific factors. Analyzing intra-urban land use expansion mechanisms at low spatial resolutions can significantly distort results and render the ranking of driving elements unstable. The loss of patch information due to reduced spatial resolution is the primary cause of distorted driving factor analysis results. It is recommended that related studies use data with a resolution of 30 m or higher. These findings offer valuable insights for optimizing land use policies and serve as a reference for selecting appropriate data resolutions in future studies.
DOI: 10.6084/m9.figshare.26885743.v1
title: Belief Network: fire management in African savanna-protected areas under future socioeconomic-climate change

description: Database for SAV Belief Network developed to model the effects of alternative fire management approaches in East African savanna-protected areas on multiple system variables under future socioeconomic-climate change, identifying opportunities and challenges for reducing wildfires and increasing long-term savanna health inside protected areas, and strengthening local resilience across broader conservation landscapes.SAV BN is currently parameterised to represent a semi-arid to mesic (750-1500mm MAP) African savanna conservation landscape, based on conditional independence assumptions for known (or identified) variables up to 2100. Model parameters can be locally modified (i.e., alteration of a specific node or direct interaction) to represent more arid African savannas (&lt;750mm MAP), or restructured and revised to represent savannas across similar geographical contexts worldwide. This database provides: (i) detailed node descriptions (incl. location), (ii) direct cause-and-effect interactions between nodes, (iii) full socioeconomic-climate scenarios, (iv) full fire management scenarios, and (v) detailed descriptions for policy and management intervention measures (input nodes).SAV BN was developed for Abigail R. Croker's PhD research. See Thesis (ref. pending) for more information. <br>
DOI: 10.6084/m9.figshare.28120592.v1
title: GCC Universities Sport and Wellness Symposium 2024 Survey Data

description: Two surveys were utilized to collect data:· <b>Speaker and Panelist Survey:</b> Distributed to symposium speakers and <b><i>panelists</i></b> <b><i>post</i></b> the event, this survey aimed to gather consensus on key topics addressed.· <b>Participant Survey:</b> Developed based on the results of the initial survey, this post-event survey was distributed to all symposium attendees to gauge broader agreement on discussed themes and recommendations.
DOI: 10.6084/m9.figshare.18497600.v5
title: FROM-GLC Plus

description: Building on the earlier Global Land Cover Mapping (Finer Resolution Observation and Monitoring - Global Land Cover, FROM-GLC), we developed the improved Global Land Cover Change Monitoring Platform (FROM-GLC Plus) using methods such as multi-season sample space-time migration, multi-source data time series reconstruction, and machine learning. The FROM-GLC Plus system provides a capacity for producing global land cover change data set from the 1980s with flexibility in spatio–temporal details. The preliminary results of multi-resolution land cover maps in Chicago, U. S. is given here.<br>Values in the files: 10-cropland20-forest30-grassland40-shrubland50-wetland60-water70-tundra80-impervious90-bare land100-ice/snow120-clouds
DOI: 10.6084/m9.figshare.22099432.v1
title: Figure S1: The orientation of free flying blackcaps. from Naïve songbirds show seasonally appropriate spring orientation in the laboratory despite having never completed first migration

description: Ringing recoveries from within 100km of Oldenburg (as seen in Figure 1, though here no temporal filtering has been applied). ;The data used in our analysis so as to ensure reproducibility.
DOI: 10.6084/m9.figshare.22637665.v2
title: O que está acontecendo? O que os trending topics podem nos dizer a respeito de ações políticas coletivamente orquestradas

description: Data from manuscript "O que está acontecendo? O que os trending topics podem nos dizer a respeito de ações políticas coletivamente orquestradas"
DOI: 10.6084/m9.figshare.24076725.v1
title: The angiosperm radiation played a dual role in the diversification of insects and insect pollinators

description: This zipped folder contains:<b>1) LTT plots:</b> The folder includes all the data to plot the lineages-through-time for each group.<b>2) MBD results:</b> The folder contains subfolders for each group analyzed with the Multivariate Birth-Death model.<b>3) MBD plots:</b> The folder includes all the data to plot the results obtained from the MBD model.<b>4) RTT plots:</b> The folder includes all the data to plot the rates through time obtained from the BDCS model.Please, check the <b>ReadMe.txt</b> file to check the data and reproduce the analyses.
DOI: 10.6084/m9.figshare.27855381.v1
title: Patterns in plant species diversity and composition of a restored Nature-based Solutions floodplain- Full Dataset

description: This data is part of a study which analysed patterns in plant species diversity and composition following restoration of the Bosscherveld floodplain, part of the Grensmaas Project, the largest nature-based river restoration project in The Netherlands. A total of 173 species were recorded over 325 quadrats. For each plot, hydro-geomorphological factors were analysed.
DOI: 10.17632/8rbzbzd574
title: AI agents increase observers' sensitivity to proscriptive norms

description: All raw data files, sound files, and code relevant to Studies 1 and 2
DOI: 10.17632/xg43xct9yz
title: Dataset: Air Quality Index (AQI) of Major Indian Cities and Stations 22/4/2024

description: The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.
DOI: 10.17632/8zh8hrysx5
title: Potential Drought Mitigation through a Bio-mediated Approach

description: all the figure data
DOI: 10.17632/c2v57w7p6h
title: LPUW_dataset

description: Replication material for the paper "Yield Drifts When Issuance Comes Before Macro News" by Dong Lou, Gabor Pinter, Semih Uslu and Danny Walker.
DOI: 10.17632/gkzyh8mwj9
title: Rainfall erosivity over Brazil: a large database

description: Datasheet (.xlsx) and GIS vector files (shapefile, geopackage and geojson) containing the compilation of rainfall erosivity values for 5,517 rainfall gauges in Brazil. 

Technical Description: 
Geographic Coordinate System: WGS_1984 
Datum: WGS_1984 
Unit: Degree
DOI: 10.17632/t8d5r6r4fc
title: Teprotumumab Improves Quality of Life in Thyroid Eye Disease: Meta-analysis & Matching-adjusted Indirect Comparison Supplement

description: This is the supplement for the paper entitled, "Teprotumumab Improves Quality of Life in Thyroid Eye Disease: Meta-analysis & Matching-adjusted Indirect Comparison"
DOI: 10.6084/m9.figshare.16755097.v2
title: HORmon

description: Data folder for manuscript:"HORmon: automated annotation of human centromeres"Olga Kunyavskaya, Tatiana Dvorkina, Andrey V. Bzikadze, Ivan Alexandrov, Pavel A. Pevzner
DOI: 10.17632/pdrxyfprfk
title: Rotor & bearing vibration dataset

description: Rotor and bearing vibration of a large flexible rotor (a tube roll) were measured. This dataset consists of over 5000 samples each containing 100 rounds of measured data. During the measurement, the rotating speed of the rotor was varied between 4 Hz and 18 Hz and the horizontal foundation stiffness was varied between 2.04 MN/m and 18.32 MN/m. Data sampling events were triggered with a rotary encoder 1024 times per revolution. The data in this dataset has been resampled to 2000 Hz. Rotor vibration is expressed as the center-point motion of the middle cross-section calculated from four displacement signals with a four-point error separation method. Four-point error separation method is further explained by Tiainen & Viitala (2020). Bearing vibration is expressed in terms of radial bearing forces. Measurement setup and procedure is explained by Viitala & Viitala (2020). Each 100-round sample consists of 8 time-series signals. In each 100-round sample the columns indicate same signals: - column 1 is the horizontal center-point movement in the middle cross-section of the rotor - column 2 is the vertical center-point movement in the middle cross-section of the rotor - column 3 is the horizontal force at bearing housing 1 - column 4 is the first vertical force at bearing housing 1 - column 5 is the second vertical force at bearing housing 1 - column 6 is the horizontal force at bearing housing 2 - column 7 is the first vertical force at bearing housing 2 - column 8 is the second vertical force at bearing housing 2 There are two vertical force signals for both bearing housings because two force sensors were placed under both bearing housings. The vertical resultant force can be solved by adding the vertical force signals of the corresponding bearing housing together. Each 100-round sample is in a separate file. Each file has been named with the following convention: “Nominal rotating speed_nominal horizontal support stiffness_measured rotating speed.csv”.
DOI: 10.6084/m9.figshare.24769500.v2
title: Database

description: Database used.
DOI: 10.6084/m9.figshare.26352214.v1
title: Genome Statistics

description: Genome statistics for GVMAGs and partial GVMAGs that were recovered in this study. Taxonomy assigned with TIGTOG.
DOI: 10.6084/m9.figshare.28287032.v1
title: The remote sensing data used in our research

description: In our study, the research data includes the following types: RADARSAT-2 C-band SAR data, Sentinel-2 MSI L2A data, ALOS PALSAR DEM data, and field survey data. Among these, the Sentinel-2 data is L2A level and can be accessed from the European Space Agency's official website (https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2). The ALOS PALSAR DEM data can be obtained from NASA's official website (https://search.asf.alaska.edu/#/?dataset=ALOS). The RADARSAT-2 data was purchased by our team, and we only have the rights to use it, without permission to share. The field survey data are the team's research results and can be made available upon request to the corresponding author.<br>
DOI: 10.17632/68tx52kdz9
title: Replication data for article "The Women Empowering Effect of Higher Education"

description: These are the replication files for the paper titled "The Women Empowering Effect of Higher Education":

Elsayed, Ahmed and Shirshikova, Alina (2023). "The women-empowering effect of higher education", Journal of Development Economics, 103101, ISSN 0304-3878, https://doi.org/10.1016/j.jdeveco.2023.103101.

Abstract: We examine the effects of the large-scale construction of public universities in Egypt during the 1960s and 1970s. We found that opening a local university increased the likelihood of obtaining higher education degrees and had long-lasting positive effects on labor market and marriage outcomes, particularly for women. We give insights on internal migration as a channel and show that migration prior to university enrollment age decreased while migration after that age increased as an outcome of university construction. Local universities reduced men’s migration for study and women’s migration for early marriage. The paper highlights the importance of increasing access to higher education for positive social and labor outcomes, particularly for women.

Keywords: Higher education; Universities; Empowerment of women; Egypt
DOI: 10.17632/6ng2kgvnwk
title: MFFCs for Multi-class Human Action Analysis : A Benchmark Dataset

description: This dataset embodies a diverse collection of Mel Frequency Cepstral Coefficients (MFCCs) corresponding to various human actions. The MFCCs are time-frequency representations of audio signals that reflect the power spectrum of an audio signal, processed through a Mel scale filter bank to mimic human auditory perception.

In this dataset, the audio signals are associated with different human actions, including walking, running, jumping, and dancing. The MFCCs are calculated through a series of signal processing stages, including application of the Fourier Transform, Mel scale transformation, and Discrete Cosine Transform. Each MFCC representation encapsulates a segment of the corresponding audio signal.

The dataset is meticulously designed for tasks such as human action recognition, classification, segmentation, and detection. It serves as a potent instrument for training and assessing machine learning models that interpret human actions based on audio signals. The dataset is particularly useful for researchers and practitioners in the fields of signal processing, computer vision, and machine learning, who endeavor to construct algorithms for human action analysis through audio signals.

Importantly, the dataset comes annotated with labels specifying the type of human action represented in each MFCC. This label information facilitates a supervised learning framework, which is essential for the development and evaluation of predictive models.
DOI: 10.17632/rcvth72y6k
title: Implementation of the block chain technology in forensic evidence management system

description: Evidence management is crucial in the field of forensic science. Evidences obtained from a 
crime scene are important in solving the case and delivering justice to the parties involved. 
Hence, protecting these evidences from any form of alteration is of utmost important. Chain of 
Custody is the process which maintains the integrity of evidence. Inability to maintain the chain 
of custody will make the evidence inadmissible in court, eventually leading to the case 
dismissal. Digitalization of forensic evidence management system is a need of time as it is an 
environment friendly model. Blockchains are digitally distributed ledgers of transactions 
signed cryptographically in chronological order that are sorted into blocks and is completely 
open to anyone in the blockchain network. Hyperledger Fabric is a consortium blockchain 
framework created by the Linux foundation and is mainly used for enterprise use. Based on the 
concept of Hyperledger Fabric, present study aimed to create a framework and further propose 
an algorithm to implement Blockchain Technology to digitalize forensic evidence management 
system and maintain Chain of Custody.
Keywords:Chain of Custody, Inadmissible evidence, Case dismissal, Digitalization,