cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/db332ycbb9.1
title: Public Opinion and Foreign Policy: Sentiment Analysis of Indonesian Public on X Social Media Towards Palestine-Israeli Conflict by Naïve Bayes and Support Vector Machine (SVM) Approach

description: This data underscores the importance of public opinion in shaping foreign policy, with a specific focus on Indonesia's position on the Palestinian-Israeli conflict. Indonesia's steadfast support for Palestine is widely acknowledged. This research is crucial in understanding the significant impact of Indonesian public opinion on the Palestine-Israel conflict and the strength of Indonesia's foreign and energy policy in this context. The research results show that, according to public comments on X platform, the support for Indonesian foreign policy towards Palestine is very strong. The Indonesian public's support aligns with the government's foreign policy, which also strongly supports Palestine.
DOI: 10.17632/w54896dknh.1
title: Impact of vegetation cover on the hydraulic characteristics of rectangular and rounded broad-crested weirs

description: Open research data-jgr
DOI: 10.15468/dl.e8qq83
title: Occurrence Download

description: A dataset containing 827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helopeltis Signoret, 1858"
 ]
}

 The dataset includes 827 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019168-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5gjc34mynv.1
title: Development of neural circuits for social motion perception in schooling fish. Zada et al.

description: Data for: Development of neural circuits for social motion perception in schooling fish. Zada, Schulze, et al. 
Inclusion of behavioral data (with fish body part tracking using SLEAP, in .h5 format) and neural imaging data (with neuronal coordinates and time-series, as well as associated behavioral time-series, in python .npz format). Data can be accessed via code in associated github link.
DOI: 10.17632/wkbx4hvfrv.1
title: NH01_Hainan Coast_SCS

description: Luminescence dating results for the core sediments NH01_SCS.
DOI: 10.17632/xzycyvmks2.1
title: Data for Rice (Oryza Sativa L.) Bioeconomy: A DEA approach (VRS, CRS & Bootstrapping)

description: The present dataset contains the original data from 612 rice farms in the five provinces of Ecuador. The dataset includes adjusted data for application in R for statistical analysis and the DEA methodology with BCC and CCR models adjusted with Bootstrap. Data were collected from 612 rice-producing farms in Ecuador during the 2022-2023 year or cycle. Details were gathered on Total Income [ti], Total Cost [tc], Total CO2 Emissions (kg CO2 eq/cycle) [te], Urea Used (kg/ha) [u], Farmer Age [age], Years of Study [Study_year], Years of Experience [experience], Land Area (ha) [area_ha], and Yield in Tons per Hectare [rend_ton_ha]. The provinces in Ecuador where the data were collected are: Guayas, El Oro, Manabi, Loja, and Los Rios.
DOI: 10.17632/xzycyvmks2.2
title: Data for Rice (Oryza Sativa L.) Bioeconomy: A DEA approach (VRS, CRS & Bootstrapping)

description: The present dataset contains the original data from 612 rice farms in the five provinces of Ecuador. The dataset includes adjusted data for application in R for statistical analysis and the DEA methodology with BCC and CCR models adjusted with Bootstrap. Data were collected from 612 rice-producing farms in Ecuador during the 2022-2023 year or cycle. Details were gathered on Total Income [ti], Total Cost [tc], Total CO2 Emissions (kg CO2 eq/cycle) [te], Urea Used (kg/ha) [u], Farmer Age [age], Years of Study [Study_year], Years of Experience [experience], Land Area (ha) [area_ha], and Yield in Tons per Hectare [rend_ton_ha]. The provinces in Ecuador where the data were collected are: Guayas, El Oro, Manabi, Loja, and Los Rios.
DOI: 10.17632/xzycyvmks2.4
title: Household Survey and Bioeconomy data of rice producers in Ecuador.

description: The Data was recollected by CIAT Group and Ministerio de Agricultura y Ganaderia MAG de Ecuador. This Data was facilited for the article Rice (Oryza Sativa L.) Bioeconomy: A DEA approach (VRS, CRS & Bootstrapping). The present dataset contains the original data from 612 rice farms in the five provinces of Ecuador. The dataset includes adjusted data for application in R for statistical analysis and the DEA methodology with BCC and CCR models adjusted with Bootstrap. Data were collected from 612 rice-producing farms in Ecuador during the 2019-2020 year or cycle. Details were gathered on Total Income [ti], Total Cost [tc], Total CO2 Emissions (kg CO2 eq/cycle) [te], Urea Used (kg/ha) [u], Farmer Age [age], Years of Study [Study_year], Years of Experience [experience], Land Area (ha) [area_ha], and Yield in Tons per Hectare [rend_ton_ha]. The provinces in Ecuador where the data were collected are: Guayas, El Oro, Manabi, Loja, and Los Rios.
DOI: 10.17632/329dg9tsfr.1
title: EVALUACION POR JUICIO DE EXPERTOS - PROYECTO FACTORES DEL MODELO EFECTIVO DEL PROCESO DE INNOVACIÓN TECNOLÓGICA – METIP, PARA FOMENTAR LA INNOVACIÓN Y PROTECCIÓN DE LA PROPIEDAD INTELECTUAL EN EL DESARROLLO DE TECNOLOGÍAS EN DIVERSOS ÁMBITOS

description: Evaluacion de juicios de expertos - PROYECTO FACTORES DEL MODELO EFECTIVO DEL PROCESO DE INNOVACIÓN TECNOLÓGICA – METIP, PARA FOMENTAR LA INNOVACIÓN Y PROTECCIÓN DE LA PROPIEDAD INTELECTUAL EN EL DESARROLLO DE TECNOLOGÍAS EN DIVERSOS ÁMBITOS
DOI: 10.17632/wnvfjtz952.1
title: Racial Disparities in the Paycheck Protection Program

description: Data and code to replicate the analysis of PPP take-up by Florida restaurants in "Racial Disparities in the Paycheck Protection". 
See the README file for more details.
DOI: 10.17632/2hfv4yr6c4.1
title: Journal of Islamic Education; No. 33.

description: The journal is set to publish original articles on a wide range of issues including;

 Philosophy of Islamic education;
 Schools and approaches to Islamic education;
 Educational jurisprudence (Fiqh);
 Foundations, principles and methodology of Islamic education;
 History of Islamic education;
 Educational thoughts, views and ideas of Muslim scholars;
 Educational sciences such as educational management, curriculum planning and educational psychology with an Islamic approach;
 Comparative studies;
 The areas and dimensions of education in Islam include religious education, devotional education, moral education, sexual education, political education, and so on;
 Methodology of research in Islamic education;
 Examining different aspects of formal education with Islamic perspective;
DOI: 10.17632/93kzdwvkyr.1
title: FACT Mediates the Depletion of macroH2A1.2 to Expedite Gene Transcription

description: The histone variant macroH2A is generally linked to transcriptionally inactive chromatin, but how macroH2A regulates chromatin structure and functions in transcriptional process remains elusive. This study reveals that while the integration of macroH2A1.2 into nucleosomes does not affect their stability or folding dynamics, it notably hinders the maintenance function of FACT. We show that FACT effectively diminishes the stability of macroH2A1.2-nucleosomes and expedites their depletion subsequent to the initial unfolding process. Furthermore, we identify the residue S139 in macroH2A1.2 as a critical switch to modulate FACT’s function in nucleosome maintenance. Genome-wide analyses demonstrate that FACT-mediated depletion of macroH2A-nucleosome allows the correct localization of macroH2A, while the S139 mutation reshapes macroH2A distribution and influences stimulation-induced transcription and cellular response in macrophage. Our findings provide mechanistic insights into the intricate interplay between macroH2A and FACT at the nucleosome level, and elucidate their collective role in transcriptional regulation and immune response of macrophage.
DOI: 10.17632/fcstmyhhtr.1
title: PRACTICE-ORIENTED ENGINEERING EDUCATION AS THE MAIN FACTOR OF FORMING COMPETENCES OF THE FUTURE PROFESSIONALS

description: The hypothesis that engineering graduates currently lack sufficient professional and universal competencies, considering Kazakhstan's stage of economic development, was supported by the results of an online survey conducted with business representatives. An online survey was conducted with employers who had hired graduates from technical universities in the Republic of Kazakhstan. Participants included 374 enterprise managers. The reliability of the study was validated with a Cronbach's Alpha coefficient of 0.87, well above the 0.7 threshold. A majority of the study's findings indicate satisfactory evaluations of the trained professionals. The formation level of professional competencies among university graduates during their initial year of employment is quantitatively assessed. In the sector of "Electricity, Gas, and Hot Water Supply," the average score stands at 4.38 points, while in "Mining - Extraction of Metal Ores and Non-Ferrous Metals," it is 3.93 points. In "Construction," the score is 3.8 points, and in the “Manufacturing - Metallurgical Industry," it is 3.68 points. Key qualitative professional attributes, encompassing fundamental and specialized engineering knowledge indicative of preparedness for practical engineering applications, as well as organizational and managerial skills coupled with decision-making capabilities under conditions of uncertainty and risk, received favorable evaluations from 60% of the surveyed business representatives. The survey findings elucidate that, notwithstanding their engineering focus, employers allocate significant importance not only to the professional qualities and capabilities of specialists but also to their personal and interpersonal attributes. Enterprises operating in the small and medium business sector have distinctly articulated their preference for personnel who are socially adept and communicative, inclined towards continuous learning, and actively engaged in enhancing the firm's performance, rather than solely being technically proficient engineers. The degree of development of universal competencies among university graduates in their first year of professional engagement is quantitatively appraised, averaging 4.42 points in the "Supply of Electricity, Gas, Hot Water supply" sector, 4 points in "Mining - Extraction of Metal Ores and Non-Ferrous Metals," 4.11 points in "Construction," and 3.6 points in "Manufacturing - Metallurgical Industry". In the process of identifying future competencies, it was possible to ascertain the principal priorities of business representatives aimed at enhancing production efficiency. Employing a systemic approach facilitated the compilation of a roster of prospective competencies.
DOI: 10.17632/fcstmyhhtr.2
title: N/A

description: N/A
DOI: 10.17632/ftkrkp5x2g.1
title: Methods for Predicting Bubble Size Distribution in Turbulent Flow

description: This data set includes the experimental data and post-processing code used in the paper - Pengcheng Li, David Z. Zhu, Hang Wang, and Rongcai Tang (under revision). Methods for Predicting Bubble Size Distribution in Turbulent Flow.
DOI: 10.17632/276dwzdd5x.1
title: Plasma Photoinactivation of Bacterial Isolated from Blood Donors Skin: Potential of Security Barrier in Transfusional Therapy_Yanet Ventura-Enríquez et al., 2024_

description: Plasma Photoinactivation of Bacterial Isolated from Blood Donors Skin: Potential of Security Barrier in Transfusional Therapy: Yanet Ventura-Enríquez, Antonio Casas-Guerrero, María de Jesús Sánchez-Guzmán,Miguel Ángel Loyola-Cruz, Clemente Cruz-Cruz, Andres Emmanuel Nolasco-Rojas,Emilio Mariano Durán-Manuel, Dulce Milagros Razo Blanco-Hernández, Francisco Álvarez-Mora, Gabriela Ibáñez-Cervantes, Mónica Alethia Cureño-Díaz, Juan Manuel Bello-López, and Verónica Fernández-Sánchez.
DOI: 10.17632/gg4hb2yx3m.1
title: Dataset of Financial Independence, Economic Growth, Human Development Index, Poverty

description: This data is secondary data used to measure the effect of financial independence, economic growth and human development index on poverty. The data is calculated using SPSS.
DOI: 10.17632/gg4hb2yx3m.2
title: Dataset of Financial Independence, Economic Growth, Human Development Index, Poverty

description: This data is secondary data used to measure the effect of financial independence, economic growth and human development index on poverty. The data is calculated using SPSS.
DOI: 10.17632/gg4hb2yx3m.3
title: Dataset of Financial Independence, Economic Growth, Human Development Index, Unemployment

description: This data is secondary data used to measure the effect of financial independence, economic growth and human development index on unemployment. The data is calculated using SPSS.
DOI: 10.17632/8rsfz5hbzv.1
title: Geochemical dataset of bottom sediment from the shelf margin of the northern East China Sea

description: A geochemical dataset of bottom sediment is presented for provenance and paleogeographic study on the shelf margin of the northern East China Sea. The study area is located between latitudes 28° N and 31° N and between longitudes 126° E and 128° E. Bottom sediment samples at 67 locations were collected using a box corer in 2013.
DOI: 10.17632/kzgdp5khky.1
title: Application of Motion Image Skeleton Recognition Algorithm Based on Convolutional Neural Network in Rehabilitation Training

description: This paper aims to explore the application effect of Convolutional Neural Network (CNN) algorithm in motion image skeleton recognition to improve the accuracy of motion skeleton recognition and the efficiency of rehabilitation training. Here, in response to the robustness and insensitivity to changes in lighting conditions of human motion image skeleton data, the first step is to depict human motion images in real Three-Dimensional (3D) space by abstracting the human body into several joint points connected to bones to obtain 3D skeleton data. Second, the channel attention module is proposed, which is combined with the spatial graph convolution module and the time graph convolution module in the graph CNN. The 3D skeleton data samples of diverse motion images are learned to obtain good action expression ability. A motion image skeleton recognition model based on multi-attention Spatial Temporal Graph Convolutional Network is constructed. Finally, the constructed model is applied to the tracking and analysis of rehabilitation training. The results show that the model algorithm can track the patient's motor state accurately in rehabilitation training. The effectiveness of local and global information reaches more than 90%, which is obviously better than the spatiotemporal graph convolution algorithm. The model algorithm effectively reduces the problem of muscle injury caused by exercise posture error during manual intervention in traditional rehabilitation training. Therefore, the model algorithm can be widely used in rehabilitation training and practice, which provides new ideas and exploration directions for the medical industry to improve the efficiency and quality of rehabilitation training.
DOI: 10.17632/4rd9g6cdft.1
title: DATA GORILLAS

description: All data used for Space utilization, social network analysis and create the new indexes for the group of gorillas
DOI: 10.17632/4vk86mmr5m.1
title: A Rheological Study of Human Cranial Cavity in Shirodhara Procedure Using Finite Element Method

description: Shirodhara is an Ayurvedic healing procedure that involves the uninterrupted pouring of medicated liquid for a stipulated period of time, usually oil, milk, or water, onto the forehead of the individual. Shirodhara produces a constant pressure and vibration amplified by a hollow sinus in the frontal bone. Pressure and vibrations scatter through the medium of cerebrospinal fluid (CSF) during the procedure. It is said to have a soothing and relaxing effect on the body and mind. The procedure results in micro-stresses and deformations in and between skin, tissue, and the skull. These micro-stresses are expected to result in a relaxing effect. Our study mainly analyzes the rheological reaction on the human cranial vault, with three different fluids which undergoes the micro stresses and micro deformations the results were analyzed.by ANSYS 2020 R1 Workbench.
DOI: 10.17632/n2jbr7ggyj.1
title: Comprehensive Analysis of Wall Features in 3D Printing Models

description: The dataset was generated using a based technique. This wall-based technique focuses on the geometric representation of 3D printed parts by analyzing them as a collection of walls. Each wall in the sliced layers is characterized by specific parameters such as height, thickness, and orientation. By capturing these details, the wall-based technique ensures that the dataset accurately reflects the structural properties of the part, thereby enhancing the predictive capabilities of ML models.
DOI: 10.17632/zchd8kwhg5.1
title: Darknet

description: Darknet
DOI: 10.17632/zchd8kwhg5.2
title: Darknet

description: Darknet
DOI: 10.17632/nr49pfdc8y.1
title: Data of the vapor phase hydrogenation of levulinic acid over CuNi catalysts

description: This dataset is comprised by all the data obtained for each of the conducted experiments. In the folder called "Catalytic activity" there is an excel workbook called "Activity results" that contains the experimental data of the product distribution for all the samples and performed experiments and stability test. 

The folder called "Characterizations" have excel workbooks and origin files which contain the data obtained by XRD, carbon deposition (TPO), TPR, and acid sites (NH3-TPD). All these files contain the results obtained for each of the catalyst fresh, spent and reactivated samples.
DOI: 10.17632/k3b8xv9b8v.1
title: COVID19-IS supplementary files

description: Supplementary file 1-6
DOI: 10.17632/g64vhhdb2s.1
title: A probabilistic graphical approach for rapid state assessment of urban infrastructure systems under disasters

description: The network structure and code used in the study.
DOI: 10.17632/m53pwzym7v.1
title: Data for PLOS One

description: This is the results data obtained from the experiments conducted.
DOI: 10.17632/ntw6rghz7c.1
title: Long-Term Follow-Up Data of 3,000 COVID-19 Recovered Patients in Kurdistan, Iraq: A One-Year Post-Recovery Study

description: This dataset includes specific information on 3,000 COVID-19 recovery patients from Iraq's Kurdistan Region. The data includes 46 features, 15 of which were rigorously vetted by qualified COVID-19 clinicians and the remaining 31 by committed researchers. The dataset provides a comprehensive picture of the patients' health, recovery progress, and a variety of demographic and clinical characteristics. The use of expert-collected data assures a high level of precision and dependability when analyzing the patients' conditions. Researchers and healthcare professionals can use this comprehensive dataset to gain valuable insights into the recovery patterns of COVID-19 patients in the Kurdistan region, contributing to a better understanding of the virus and enhancing the development of targeted interventions and treatment plans.
DOI: 10.17632/ntw6rghz7c.2
title: Long-Term Follow-Up Data of 3,000 COVID-19 Recovered Patients in Kurdistan, Iraq: A One-Year Post-Recovery Study

description: This dataset includes specific information on 3,000 COVID-19 recovery patients from Iraq's Kurdistan Region. The data includes 46 features, 15 of which were rigorously vetted by qualified COVID-19 clinicians and the remaining 31 by committed researchers. The dataset provides a comprehensive picture of the patients' health, recovery progress, and a variety of demographic and clinical characteristics. The use of expert-collected data assures a high level of precision and dependability when analyzing the patients' conditions. Researchers and healthcare professionals can use this comprehensive dataset to gain valuable insights into the recovery patterns of COVID-19 patients in the Kurdistan region, contributing to a better understanding of the virus and enhancing the development of targeted interventions and treatment plans.
DOI: 10.17632/ntw6rghz7c.3
title: Long-Term Follow-Up Data of 3,000 COVID-19 Recovered Patients in Kurdistan, Iraq: A One-Year Post-Recovery Study

description: This dataset includes specific information on 3,000 COVID-19 recovery patients from Iraq's Kurdistan Region. The data includes 46 features, 15 of which were rigorously vetted by qualified COVID-19 clinicians and the remaining 31 by committed researchers. The dataset provides a comprehensive picture of the patients' health, recovery progress, and a variety of demographic and clinical characteristics. The use of expert-collected data assures a high level of precision and dependability when analyzing the patients' conditions. Researchers and healthcare professionals can use this comprehensive dataset to gain valuable insights into the recovery patterns of COVID-19 patients in the Kurdistan region, contributing to a better understanding of the virus and enhancing the development of targeted interventions and treatment plans.
DOI: 10.17632/ntw6rghz7c.4
title: Long-Term Follow-Up Data of 3,060 COVID-19 Recovered Patients in Kurdistan, Iraq: A One-Year Post-Recovery Study

description: This dataset includes specific information on 3,000 COVID-19 recovery patients from Iraq's Kurdistan Region. The data includes 46 features, 15 of which were rigorously vetted by qualified COVID-19 clinicians and the remaining 31 by committed researchers. The dataset provides a comprehensive picture of the patients' health, recovery progress, and a variety of demographic and clinical characteristics. The use of expert-collected data assures a high level of precision and dependability when analyzing the patients' conditions. Researchers and healthcare professionals can use this comprehensive dataset to gain valuable insights into the recovery patterns of COVID-19 patients in the Kurdistan region, contributing to a better understanding of the virus and enhancing the development of targeted interventions and treatment plans.
--Demographic
1.Age
2.Height 
3.Gender 
4.Blood group
5.Weight
6.Address

--Past medical history
7.Smoking 
8.Blood Pressure
9.Past Surgical
10.Diabetes 
11.Sensitivity
12.Tuberculosis (T.B)
13.Asthma 
14.Hypertension

--Diagnosis 
15.Vaccine type 
16.Vaccination
17.Expose start date 
18.Expose End date
19.Investigation 
20.Chest X-ray 
21.Red Blood Cells (RBC)
22.Complete blood count (CBC)
23.Polymerase Chain Reaction (PCR)
24.C-reactive protein (CRP)

--Symptoms during COVID
25.Anxiety 
26.Cough
27.Sore throat 
28.Fever
29.Joint pains 
30.Losing taste or smell
31.Headache

--Present illness 6 months after covid
32.Loss of interest 
33.Cough
34. Dyspnea
35.Low Mood 
36.Chest Pain
37.Depression 
38.Short term Memory Loss
39.Disturb sleep
40.Fatigue

--Clinical parameter 
41.Hospitalized 
42.LV fluid
43. Blood Oxygen Level (SPO2) 
44.Dates of emergency treatment 
45.Medicine 
46.NO-OF-TESTS
DOI: 10.17632/b442mpchjn.1
title: A New Insight into the Synthesis Mechanism of ScF3 by the NH4HF2 Solid-Phase Fluorination Method

description: 1. Data of mass variation over time for various molar ratios of samples at room remperature
2. TG-DSC data
3. XRD data
4. SEM image