cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mv8d57jww7
title: Decarbonizing Saudi Arabia Energy and Industrial Sectors: Assessment of Carbon Capture Cost

description: This work evaluates carbon capture, utilization, and storage (CCUS) costs in Saudi Arabia's energy and industrial sectors, offering updated CO₂ emission estimates from 2022 across key industries, including electricity, petrochemicals, refineries, cement, steel, ammonia production, and desalination. Using a custom economic model, the study calculates capture costs highlighting significant variations influenced by economies of scale and CO₂ concentration. Regional analysis identifies the Eastern region, with its planned CCS hub in Jubail, as a priority for deployment, while the Western region may require alternative storage solutions. These findings provide actionable insights for cost-effective CCUS implementation, aligning with Saudi Arabia’s Vision 2030 and net-zero goals.
Authors: Feras Rowaihy, Ali Hamieh, Naser Odeh, Mohamad Hejazi, Mohammed Al-Juaied, Abdulkader M Afifi, Hussein Hoteit
Corresponding Authors: hussein.hoteit@kaust.edu.sa; Feras.Rowaihy@gmail.com
DOI: 10.6084/m9.figshare.1352069.v2
title: Supplemental Data for article "Oral microbiota shift after 12-week supplementation with Lactobacillus reuteri DSM 17938 and PTA 5289"

description: Supplemental data for the publication entitled "Oral microbiota shift after 12-week supplementation with Lactobacillus reuteri DSM 17938 and PTA 5289; a randomized control trial" PLOS ONE PONE-D-14-49858. Nelly Romani Vestman 1, Tsute Chen 2, Pernilla Lif Holgerson 3, Carina Öhman 1, and<br>Ingegerd Johansson 1* 1,3 Department of Odontology/ 1 Cariology and 3 Pedodontics Section, Umeå University, Umeå, Sweden<br>2 Department of Microbiology, The Forsyth Institute, Cambridge, MA 02142, USA *Corresponding author:<br>Ingegerd Johansson<br>Department of Odontology/Cariology<br>Umeå universitet<br>SE-901 85 Umeå<br>Sweden<br>E-mail: ingegerd.johansson@odont.umu.se
DOI: 10.6084/m9.figshare.23968002.v1
title: UAV Images

description: RGB and TIR images of the Meruelo landfill photogrammetric flight.
DOI: 10.17632/29y4tfz9pv
title: Data Topography and soil properties

description: This file copntains data for SOC total Soc Labile SOC very labile, water repellence measured by wdpt and aggregate stability test by Le Bissonnias 1996.
DOI: 10.17632/8b7cy856x2
title: Supplemental Data - Novel Therapeutic Approach Targeting CXCR3 to Treat Immunotherapy Myocarditis

description: Flow cytometry data for "Novel Therapeutic Approach Targeting CXCR3 to Treat Immunotherapy Myocarditis"
- CXCR3 Blockade transwell assay
- CD49d expression after CXCL9/10 Stimulation assay
- Cardiomyocytes apoptosis assay
- anti-PD1/CTLA-4 Immunotherapy Model
- 10-02-23 in Vitro rmCXCL9 rmCXCL10
- 9-21-23 in Vitro CXCL9 CXCL10 Blockade

Automated Quantification Script
imagej-script.txt
DOI: 10.17632/jj33zc587r
title: Dataset for the seismic performance of tunnels affected by the 2023 Kahramanmaraş earthquake sequence

description: This dataset encompasses comprehensive information from a detailed study on the seismic performance of tunnels affected by the Kahramanmaraş earthquake sequence of February 6, 2023. The field survey conducted following the events revealed limited damages to the tunnels in the affected region despite the very high recorded ground motions. We examined the reasons for these limited damages and then investigated whether the available state of the art methods and tools for the seismic risk assessment of tunnels could have predicted this behaviour. This dataset includes:

- Epicenters and fault ruptures provided by USGS for the two main seismic events of the Kahramanmaraş earthquake sequence of February 6, 2023, namely the M7.7 Pazarcik and the M7.6 Elbistan earthquakes. 

- Locations of the tunnels: Geospatial coordinates of 87 tunnels located in the provinces most affected by the seismic events. The tunnels are approximately represented by their midpoints, and the coordinate system is the WGS84.

- Seismic performance of the tunnels affected by the Kahramanmaraş earthquake sequence of February 6, 2023, as obtained from the field survey. 

- Structural Characteristics: Detailed structural properties of each tunnel, including their period of construction, their typology and construction materials, as well as the maximum burial depth.

- Geotechnical Characteristics: Surrounding soil quality expressed through the Vs30 and the average Geological Strength Index, GSI.

- Experienced Ground Motion: Proximity to the rupture, Peak Ground Acceleration (PGA) and Peak Ground Velocity (PGV) values experienced at each tunnel site during the two main seismic events. PGA and PGV were extracted from the USGS ShakeMaps at the locations of the tunnels. 

- Return periods of PGA levels at the locations of the tunnels: We performed a Probabilistic Seismic Hazard Analysis (PSHA), taking local site conditions into account, to calculate the seismic hazard curves at the locations of the tunnels; then we used these hazard curves to identify for each tunnel site the return periods corresponding to the PGA of the ShakeMaps of the two main seismic events. 

- Damage assessment of tunnels: Scenario-type risk analyses performed using USGS ShakeMaps and available fragility models (two empirical, the HAZUS (2004) and the ALA (2001), and one analytically derived developed by Andreotti and Lai (2019)) to assess the expected damage levels due to the two events. The damage metric is the probability of damage of any level, which is equal to one minus the probability of no damage. Higher probabilities correspond to a higher level of expected damage.

This dataset aims to facilitate further analysis and understanding of the factors influencing tunnel resilience during strong ground motions, thereby enhancing seismic risk assessment methodologies and contributing to the development of more robust models for predicting tunnel performance in seismic events.
DOI: 10.17632/xkpz4b9d5v
title: "EEG Event-Related Potentials (MMN) Dataset in Adolescents with Emotional Disorders: Pre-attentive Processing Biomarkers for Non-Suicidal Self-Injury (NSSI) and Suicidal Behavior Subtyping"

description: Research Background: Adolescent mood disorders have emerged as a global public health concern. These diseases not only lead to continuous impairment of interpersonal functioning, social adaptation, and educational / career development, but often lead to non-suicidal self-injury (NSSI) and suicidal behavior. These highlight the need to enhance prevention, awareness, and early intervention strategies for adolescent mood disorders. Current diagnostic modalities rely mainly on behavioral observations and subjective scales and lack objective biomarkers. This study used a standardized auditory oddball paradigm to deepen the understanding of the neuroelectrophysiological changes in adolescent mood disorders.
Data content: This dataset contains electroencephalography (EEG) recordings and event-related potential (ERP) waveforms of mismatch negativity (MMN) from 228 adolescents (aged 10–24 years), including 171 patients with emotional disorders (stratified into non-suicidal self-injury [NSSI], suicidal behavior, and non-NSSI subgroups) and 57 healthy controls. Data were acquired using a standardized auditory oddball paradigm (1000 trials, 500 Hz sampling rate) with 6-channel EEG (Fz, F3/F4, Cz, C3/C4). 
Raw/Preprocessed Data: Continuous EEG (.edf), epoched ERPs (.mat), MMN difference waves (100–250 ms) 
Clinical Metadata: Demographic information (sex, age), disease duration, self-harm history, and suicidal ideation/behavior were recorded using standardized forms. Anxiety and depression severity were assessed using the 17-item Hamilton Anxiety Rating Scale (HAMA-17) and 24-item Hamilton Depression Rating Scale (HAMD-24). HAMD-24: Jointly scored by two trained raters. Total scores: &lt;8 (no depression), 8–20 (mild), 21–35 (moderate), &gt;35 (severe); HAMA-17: Administered by trained raters via structured interviews and observation. Total scores: &lt;7 (no anxiety), 7–13 (possible anxiety), 14–20 (definite anxiety), 21–29 (marked anxiety), ≥30 (severe anxiety). Grouping: Participants were stratified into four groups based on non-suicidal self-injury (NSSI) or suicidal behavior within the preceding 3 months: Non-NSSI group (G(-NSSI)), NSSI group (G(+NSSI)), Suicide behavior group (G(+S)), Healthy controls (HC).
Analysis Scripts: MATLAB pipelines for EEGLAB preprocessing (ICA artifact removal), MMN peak detection, and statistical models (SPSS syntax) 
Applications: Investigate prefrontal-parietal dysfunction in pre-attentive processing of emotional disorders. Develop electrophysiological biomarkers (MMN latency/amplitude) for NSSI/suicidal risk stratification. Validate predictive coding models in adolescent neurodevelopmental trajectories. 
Ethical Access: De-identified data are publicly available under CC-BY 4.0. Raw EEGs containing facial EMG require institutional approval via Jinjiang Third Hospital Ethics Committee (Contact: 150482573@qq.com).
DOI: 10.25388/nwu.13283984.v1
title: Sulphur dioxide oxidation mechanism on Pt surfaces: A DFT study

description: Supplementary information for dissertation.
DOI: 10.6084/m9.figshare.11841774.v6
title: Appendix S2 from Palm fruit colours are linked to the broad-scale distribution and diversification of primate colour vision systems

description: Palm and fig data used in this study
DOI: 10.6084/m9.figshare.7269866.v1
title: Additional file 2: of Integration of conventional and advanced molecular tools to track footprints of heterosis in cotton

description: Summary of significant associations between markers and Phenotypic traits. (XLS 44 kb)
DOI: 10.17632/479hyb4fmj
title: Supplementary Material Steijlen et al.

description: Supplementary Material to the paper: "Enhanced metastatic risk stratification for Cutaneous Squamous Cell Carcinoma by combining clinical guidelines with the Erasmus MC model: Results from Two Nationwide Nested Case-Control Studies" by Steijlen et al. published in JAAD.
DOI: 10.17632/b63tfsy97j
title: A program to calculate franck-condon factors

description: Title of program: FRANCK-CONDON FACTOR PROGRAM Catalogue Id: AACA_v1_0 Nature of problem The program calculates Frank-Condon factors. This involves the calculation of eigenvalues and eigenfunctions of the Schrodinger equation for two different potential functions. CORRECTION SUMMARY: Vol:Year:Page 1:1970:23 "000A CORRECTION 21/10/70" "A program to calculate Franck-Condon factors. (C.P.C. 1(1969)21)." A.C. Allison Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data AACA_v1_0; FRANCK-CONDON FACTOR PROGRAM; 10.1016/0010-4655(69)90014-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/yz6hfg9z2m
title: Probabilistic tsunami inundation risk assessment results

description: This database provides a refined probabilistic tsunami inundation risk assessment results in Macao , which has important reference value for the implementation of precise management.
DOI: 10.6084/m9.figshare.22284130.v1
title: Data for DOA estimation

description: Coprime array data
DOI: 10.6084/m9.figshare.24412291.v1
title: X-ray Photoelectron Spectroscopy data

description: X-ray Photoelectron Spectroscopy data contained in an excel file. Each page contains one spectrum each, which is accompanied by the meta-data for the specific measurement. The preceding measurements can be found in the SQLite database under the same project. The measured samples were created in the cells (see database DOI: 10.6084/m9.figshare.24440998):Corr_cell_Diglyme_NaPF6_2023-09_10Corr_cell_EC-DEC_NaPF6_2023-09-08_2Corr_cell_PC_NaFSI_2023-09-07_2Corr_cell_TEP_NaBOB_2023-09-09Corr_cell_TEP_NaFSI_2023-09-06Corr_cell_TEP_NaFSI_2023-09-09Corr_cell_TEP_NaPF6_al_2023-09-05
DOI: 10.6084/m9.figshare.25241842.v1
title: Data_Aono_2024_Frontiers_in_Marine_Science.xlsx

description: The data is otolith stable oxygen and carbon isotopes for young-of-the-year (age 0) Japanese sardines collected from the northern offshore and southern coastal areas of the Sea of Japan in 2015 and 2016.
DOI: 10.17632/mzn9hvdcxg
title: DNS Tunneling Queries for Binary Classification

description: Binary dataset provides labeled domain names divided into two categories: 0 - regular domain names, 1 - domain names with tunnels.
Multilabel dataset provides domain names divided into five categories: 0 - regular domain names, 1 - dns2tcp, 2 - dnscapy, 3 - iodine, 4 - tuns.
DOI: 10.17632/pgscbgy2v3
title: Feng, J., T. Lian, and D. Chen. SST bias in tropical Indian Ocean in CMIP6 CGCM is mainly due to surface wind bias in AGCM. Journal of Climate, submitted.

description: This repository contains processed data for the manuscript entitled "SST bias in tropical Indian Ocean in CMIP6 CGCM is mainly due to surface wind bias in AGCM", including a series of model experiments.
DOI: 10.17632/x58kzfkj78
title: Methods for improving the quality of recycled concrete aggregates and their effect on durability of concrete

description: Methods for improving the quality of recycled concrete aggregates and their effect on durability of concrete date
DOI: 10.17632/zh76m5by5s
title: Call center

description: This is part one , two is coming soon
DOI: 10.6084/m9.figshare.22794644.v1
title: Data set.xls

description: Students in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement might have led to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones and life stressors in the past 2 weeks prior to the study with depression symptoms among Ugandan medical students. Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students’ mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.
DOI: 10.6084/m9.figshare.26172871.v1
title: The data and code of " Integrated governance for cultivated cadmium contamination"

description: Integrated governance for cultivated cadmium contamination
DOI: 10.17632/v3yh6tfm76
title: The data of SlMPK1- and SlMPK2- mediated SlBBX17 phosphorylation positively regulates CBF-dependent cold tolerance in tomato 

description: The verification and replication of the results in the paper "SlMPK1- and SlMPK2- mediated SlBBX17 phosphorylation positively regulates CBF-dependent cold tolerance in tomato ".
DOI: 10.17632/yz47kwzrx2
title: Understand Student Attitudes Towards AI Tools Dataset

description: The goal of this study is to investigate and analyze which GenAI tools university students use for academic work and to explore their attitudes towards AI in general. The authors also examined the posible diferences and similarities among students in gender, year of study, discipline in two European countries.
 The first objective of our study is to investigate the use of AI tools for academic purposes, as outlined in the literature above. We selected thirteen questions to design a research scale that assesses students’' ' comprehension of artificial intelligence tools. The purpose of the newly developed AI tools scale is to examine which AI tools students use.
 The authors' second objective was to examine university students’ attitudes towards AI. To identify these attitudes, the authors developed the Attitudes towards AI scale
 This exploratory research had two objectives. The first objective was to determine the practices of students regarding the use of artificial intelligence (AI), specifically ChatGPT and AI-based tools. The second objective was to ascertain the attitudes of students towards AI. A quantitative research strategy and a survey were chosen as the research tools. The research was conducted at universities in two non-English speaking European countries, Serbia and Austria (N=337). The initial sample was intentionally selected from individuals who studied in Serbia or Austria using purposive sampling techniques. However, the method for obtaining scores within that sample was random. The survey was anonymous, and participation in the student survey was voluntary. The responses were collected electronically through a questionnaire created using Google Forms.
 The questionnaire consisted of 30 questions, with five of them being demographic questions, while one was an open-ended question for participants' comments. In terms of measurement, the closed-ended questions in the survey were categorized as scale types, specifically ordinal and nominal. The questionnaire included two new scales created specifically for this research: AI Tools, which comprised 13 questions, and Attitudes toward AI, which comprised 7 questions. Participants attitudes and opinions were assessed on a scale ranging from 1 to 5, where 1 indicated complete disagreement and 5 indicated complete agreement. Descriptive measures and parametric inferential statistical techniques were employed. Reliability analysis and Factor analyses were conducted to test the scales.
DOI: 10.6084/m9.figshare.21792557.v2
title: Secondary foest age of China (SFAC)

description: A national distribution of secondary forest age (SFA) is essential for understanding the forest ecosystem and carbon stock in China. While past studies have mainly used various change detection algorithms to detecting forest disturbance, which cannot adequately characterize the entire forest landscape. This study developed a data-driven approach for improving performances of the Vegetation Change Tracker (VCT) and Continuous Change Detection and Classification (CCDC) algorithms for detecting the establishment of forest stands. An ensemble method for mapping national-scale SFA by determining the establishment time of secondary forest stands using change detection algorithms and dense Landsat time series is proposed. A dataset of national secondary forest age for China (SFAC) for 1987 to 2020 and with a 30-m spatial resolution was produced from the optimal ensemble model. This dataset provides national, continuous spatial SFA information and can improve understanding of secondary forests and the estimation of forest carbon storage in China. The dataset presents the Secondary forest age (sfa) in china in 2020.The data includes 20 files named ‘’sfa_china_2020’’with tiff format in an zip. Values from 1 to 34 in the “Age” band represent the age of the forest, where values of 36 and 0 indicates a forest age &gt; 34 (not a specific pixel-scale age) and non-forest, respectively. At the same time, the age of 34 to 1 prensents the year of forest regrowth ranged 1987 to 2020. The spatial extent of the dataset includes mainland China and Taiwan, but excludes the South China Sea islands. The map is defined in the WGS84 projection, has a 30-m spatial resolution.
DOI: 10.6084/m9.figshare.26083468.v1
title: Data for DMET-QiankunNet

description: This is data for DMET-QiankunNet method.
DOI: 10.6084/m9.figshare.7871747.v1
title: PM2.5 disease burdens in cities worldwide

description: This dataset includes the results published in Anenberg, S.C., P. Achakulwisut, M. Brauer, D. Moran, J.S. Apte, and D. Henze (2019) Particulate matter, carbon dioxide, and premature mortality in 250 urban areas worldwide. Scientific Reports, in press.<br><br>variable definitions:<br>id=city idcity=name of urban areacluster=cities within each urban arealat=latitudelon=longitudeiso3c=ISO 3 Codecountry=country <br>gbd_region=Global Burden of Disease regiongbd_superregion=Global Burden of Disease super-regionpop.2016=population in 2016popw.pm=population weighted annual average PM2.5 concentration (in ug/m3)pmdeaths=PM2.5-attributable premature deathspct_ihd=percent of PM2.5-attributable premature deaths that are from ischemic heart diseasepct_stroke=percent of PM2.5-attributable premature deaths that are from strokepct_copd=percent of PM2.5-attributable premature deaths that are from chronic obstructive pulmonary diseasepct_lc=percent of PM2.5-attributable premature deaths that are from lung cancerpct_lri=percent of PM2.5-attributable premature deaths that are from lower respiratory infectionspmdeaths_2.5prctl=lower end of the 95% confidence interval for PM2.5-attributable premature deathspmdeaths_97.5prctl=upper end of the 95% confidence interval for PM2.5-attributable premature deaths<br>
DOI: 10.17632/hshwygj5hb
title: Novel STAG2 gene mutation explains complex phenotype in boy with polycystic kidney disease

description: Trio whole-exome sequencing (Trio-WES) was performed on a Chinese family to investigate the genetic etiology of the proband’s multiple congenital malformations and familial PKD.
DOI: 10.17632/zd2xw9tf38
title: Electric Vehicle Charging Stations: Model, Algorithm, Simulation, Location, and Capacity Planning

description: Data set for the positioning of electric vehicle charging stations
DOI: 10.6084/m9.figshare.29108924.v1
title: Data for Mkrn3 paper

description: Code for Mkrn3 paper
DOI: 10.6084/m9.figshare.4954523.v1
title: Temperature calibration, normal force measurements, undisturbed motion measurements, and stick-slip motion cycles in MEMS devices with sliding sidewall surfaces

description: This .zip file contains research data sets acquired to investigate the temperature dependence of friction in MEMS devices with sidewall surfaces subject to frictional contact. The corresponding folders include: (a) the peak position measurements from Raman spectroscopy (Raman measurements), (b) the displacement measurements of the 'ram' until it touches a counter-surface for the normal force per contact temperature (normal force data), (c) the displacement measurements of the sliding counter-surface per temperature when it is not in contact with the ram (undisturbed data), (d) the displacement measurements of the counter-surface for increasing temperature when it is in contact with the ram (friction data from 25 to 300), and (e) the displacement measurements of the counter-surface for decreasing temperature when it is in contact with the ram (friction data from 300 to 25).<br>