cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6phrbzwk8t.1
title: Comparison of  3D rendered  fibroid uterus model (FMRA software value) with the  pathological evaluation 

description: The data captures the details of fibroid dimensions and positional details compared with the pathological evaluation. 
Descriptive Statistics of L1, L2, L3 from Model and L1, L2 from Pathological evaluation
Paired Samples Statistics for measurements obtained from two techniques
Descriptive Statistics of X, Y, Z from Model and X, Y from Pathological evaluation (n=25)
ANOVA Statistics for X & Y measurements obtained from 3D rendered Model and Pathological Examination (n=25)
Interobserver agreement in TVS 2-D measurements
DOI: 10.17632/6vn6gczyfv.4
title: Integrated tactical continuous production planning of two blending systems sharing supply sources: the case of a phosphate supply chain

description: The tightening of compositional constraints by customers on merchantable phosphate ores (MOs) prevents the world's largest phosphate production site from continuing to plan its production with the current rules. This site extends over hundreds of km2, with several mines, several washing plants, and a drying plant, with MOs' shipment by rail or pipeline. MOs are obtained by blending ores (SOs) of varying compositions and volumes. Currently, the plants are managed quite independently, SOs are pre-assigned to the MOs, and the MO production routings in the washing plants are predetermined. We propose a model that ignores both SOs pre-allocation and routing’s choice. This blending production planning problem is neglected in the scientific literature but can be found in many mining production sites in most characteristics, offering perspectives on applying the proposal's approach. The numerous tests show that this model makes it possible to respect the composition constraints relating to several components, with a generalised use of the most economical routings and ensuring horizontal and vertical alignment of decisions.
DOI: 10.17632/82gdc76fr7.1
title: Reports on carvedilol in rosacea and skin cancer.

description: According to the literature, carvedilol is most commonly used for rosacea and for the prevention of skin cancer in the field of dermatology. Carvedilol has curative effect in the treatment of rosacea, which can effectively relieve facial flushing and erythema, and reduce skin temperature. Also, carvedilol prevents malignant transformation and carcinogenesis induced by ultra violet, chemical carcinogens and epidermal growth factor.
DOI: 10.17632/b4gbgbtvcd.1
title: Reports on carvedilol in rosacea and skin cancer.

description: According to the literature, carvedilol is most commonly used for rosacea and for the prevention of skin cancer in the field of dermatology. Carvedilol has curative effect in the treatment of rosacea, which can effectively relieve facial flushing and erythema, and reduce skin temperature. Also, carvedilol prevents malignant transformation and carcinogenesis induced by ultra violet, chemical carcinogens and epidermal growth factor.
DOI: 10.17632/98dcnfcwh4.1
title: Bullying case in Indonesia the teacher became the pioneer of a bullying case through a qualitative approach

description: Cases of bullying have become a worrying problem in the world of education. Bullying does not only apply between fellow students in some cases of bullying, the reason bullying among students occurred was because they imitated or just went along without thinking twice, therefore this research proposal will discuss teachers who pioneered bullying cases. Researchers are trying to dig this case with a qualitative approach. The hope is that there will be awareness from teachers, school administrators and parents so that bullying is no longer something that constantly hinders students during the process of studying.
DOI: 10.5281/zenodo.8219786
title: Residential Power and Battery Data

description: <strong>Overview</strong> The Residential Power and Battery data is an open-source dataset designed to facilitate the advancement of predictive and optimisation algorithms. It features anonymised, minute-by-minute real-world customer data on energy consumption, solar generation, and battery measurements. This dataset was compiled by SwitchDin and made available through Monash University on the Zenodo platform. Open-sourcing the Residential Power and Battery data offers numerous benefits to researchers, developers, and industry stakeholders. By providing access to comprehensive, real-world data on energy consumption, solar generation, and battery usage, the dataset enables the development of more accurate and efficient algorithms for energy management systems. For example, the dataset could facilitate the development of machine learning models that forecast energy consumption patterns, enabling better demand-side management strategies. These improved algorithms contribute to more effective demand response, grid stability, and renewable energy integration, helping to build a more resilient and sustainable energy future. Furthermore, open-sourcing this dataset fosters collaboration and knowledge sharing among researchers and professionals in the energy sector. By making the data freely available, researchers from various backgrounds and organisations can work together to identify patterns, trends, and innovative solutions to pressing challenges in energy management. This collaborative approach accelerates the pace of innovation, as diverse perspectives can generate novel ideas and methods that might not emerge in isolation. As a result, the open-sourcing of the Residential Power and Battery data has the potential to significantly advance the pursuit of a more efficient, reliable, and environmentally friendly energy landscape. <strong>Data Structure</strong> <code>anonymous_public_power_data.rds</code> utc: The date-time in UTC, formatted as <code>yyyy-mm-dd hh:mm:ss</code>. unit: A categorical label denoting the unique identifier for the unit. metric: A categorical label indicating whether the data point corresponds to load or solar power generation. max: A numerical variable denoting the peak value of load or solar power generation in kilowatts (kW) within a one-minute interval. <code>anonymous_public_power_data_per_unit.zip</code> Same as above, but files are split by units. <code>anonymous_public_battery_data.rds</code> unit: A categorical label denoting the unique identifier for the unit. batt_kwh: A numerical variable representing battery kilowatt-hour rating. batt_p_ch: A numerical variable representing battery charge power rating. batt_p_dch: A numerical variable representing battery discharge power rating.
DOI: 10.5281/zenodo.8219785
title: Residential Power and Battery Data

description: <strong>Overview</strong> The Residential Power and Battery data is an open-source dataset designed to facilitate the advancement of predictive and optimisation algorithms. It features anonymised, minute-by-minute real-world customer data on energy consumption, solar generation, and battery measurements. This dataset was compiled by SwitchDin and made available through Monash University on the Zenodo platform. Open-sourcing the Residential Power and Battery data offers numerous benefits to researchers, developers, and industry stakeholders. By providing access to comprehensive, real-world data on energy consumption, solar generation, and battery usage, the dataset enables the development of more accurate and efficient algorithms for energy management systems. For example, the dataset could facilitate the development of machine learning models that forecast energy consumption patterns, enabling better demand-side management strategies. These improved algorithms contribute to more effective demand response, grid stability, and renewable energy integration, helping to build a more resilient and sustainable energy future. Furthermore, open-sourcing this dataset fosters collaboration and knowledge sharing among researchers and professionals in the energy sector. By making the data freely available, researchers from various backgrounds and organisations can work together to identify patterns, trends, and innovative solutions to pressing challenges in energy management. This collaborative approach accelerates the pace of innovation, as diverse perspectives can generate novel ideas and methods that might not emerge in isolation. As a result, the open-sourcing of the Residential Power and Battery data has the potential to significantly advance the pursuit of a more efficient, reliable, and environmentally friendly energy landscape. <strong>Data Structure</strong> <code>anonymous_public_power_data.rds</code> utc: The date-time in UTC, formatted as <code>yyyy-mm-dd hh:mm:ss</code>. unit: A categorical label denoting the unique identifier for the unit. metric: A categorical label indicating whether the data point corresponds to load or solar power generation. max: A numerical variable denoting the peak value of load or solar power generation in kilowatts (kW) within a one-minute interval. <code>anonymous_public_power_data_per_unit.zip</code> Same as above, but files are split by units. <code>anonymous_public_battery_data.rds</code> unit: A categorical label denoting the unique identifier for the unit. batt_kwh: A numerical variable representing battery kilowatt-hour rating. batt_p_ch: A numerical variable representing battery charge power rating. batt_p_dch: A numerical variable representing battery discharge power rating.
DOI: 10.17632/6ccmg7hsr6.1
title: Task characteristics and charitable giving

description: We investigate experimentally the impact of nature of task performed for one's earnings on charitable giving behaviour. We find that donations are significantly higher for participants who were randomly allocated to a nonroutine problem-solving task compared to those participants who were randomly allocated to a routinized counting task, even though both tasks yielded equal earnings and similar pay satisfaction. Relative to the routine task, the nonroutine task causally increased task satisfaction and positive affect, and reduced negative affect. Correlational evidence suggests that the reduction in negative affect may have been the mechanism causing the increase in charitable donation due to the nonroutine task. The experiment was conducted online using Qualtrics with 192 subjects participating. The participants were a diverse pool of candidates from various undergraduate and post-graduate educational institutions in India.
DOI: 10.17632/ms5d852szf.1
title: Keywords data extracted from Behavioral Finance journals

description: The dataset comprises a collection of text data consisting of keywords used in articles published in a selection of academic journals between 2000 and 2020. The chosen journals include the Journal of Economic Psychology, the Journal of Behavioral Finance, the Journal of Behavioral and Experimental Economics, the Journal of Behavioral and Experimental Finance, and the Review of Behavioral Finance. The data was gathered using data analytics techniques in conjunction with a set of tools programmed in R, facilitating the cleaning and organizing of the dataset. Additionally, the dataset includes information such as authors, titles, abstracts, and publication dates for each article. Researchers can utilize this dataset of metadata to analyse and investigate the evolution of the field of Behavioral Finance, using the published articles' keywords as a reference.
DOI: 10.17632/s4df3bxnns.1
title: Interacción trabajo-familia en enfermería: muestra utilizada en revisión integrativa

description: Corresponde a la muestra de 65 artículos utilizada en una revisión integrativa.
DOI: 10.17632/kjxb54wtr7.1
title: Development and validation of a risk prediction model for community-acquired pressure injury in a cancer population: a case-control study

description: This study is based on the intrinsic risk factors of pressure injury. Development and validation of risk prediction models for community-acquired pressure injury in cancer patients. This data includes demographics, comorbidities and clinical characteristics of 6,257 cancer patients. Of those, 4,098 served as training sets and 2,159 as validation sets.
DOI: 10.17632/kgh3ybvb88.1
title: Body Wave Polarization Anomalies due to Earth's Coriolis Effect

description: This provides supplementary material to our study. More information will follow.
DOI: 10.17632/kgh3ybvb88.2
title: Body Wave Polarization Anomalies due to Earth's Coriolis Effect

description: This provides supplementary material to our study. More information will follow.
DOI: 10.17632/kgh3ybvb88.3
title: SKS Polarization Anomalies due to the Coriolis Force

description: This provides supplementary material to our study in BSSA.
DOI: 10.17632/7ms52rt5tk.1
title: Arabic Numerical Dataset with demographic information

description: the purpose of the dataset is to investigate whether there is a correlation between the offline numerical handwriting and gender, handedness. The method of data collection focused on the interpersonal variations in the handwriting rather than intrapersonal instead of increasing the number of persons.
DOI: 10.17632/sryyj5sgn3.1
title: Dataset on UTAUT model in digital rural banking

description: Dataset on rural banking including code book and questionnaire
DOI: 10.17632/rrnf25bcs8.1
title: GAMS codes for wagon sizing and allocating wagon

description: This research determines the optimal number of wagons and the allocation of wagons. The case study is Rail Pardaz Seir Company) an Iranian rail company. First, in section 1, a deterministic dynamic mathematical model (an integer programming model) was coded to determine the optimal number of wagons and the allocation of wagons. And then, in section 2, a scenario-based two-stage stochastic programming model was coded as well.
DOI: 10.17632/f65rmg82z8.1
title: M.Sc. Thesis dataset - Elsai M.

description: This dataset contains pesticide monitoring data that were collected and analyzed for my thesis project.
DOI: 10.17632/f65rmg82z8.2
title: M.Sc. Thesis dataset - Elsai M.

description: This dataset contains pesticide monitoring data that were collected and analyzed for my thesis project.
DOI: 10.17632/h4n3gn93gz.1
title: CineScale2

description: Data consists of camera angle and camera level annotations for a total of 25,214 frames.
Specifically, 9,428 video frames are categorized according to their camera angle in the following five categories: Overhead, High, Neutral, Low, and Dutch angle.
The remaining 15,786 video frames are labelled into six different classes accounting for their camera level: Aerial, Eye, Shoulder, Hip, Knee, and Ground.
Both camera angle and camera level annotations were performed by a team of expert film scholars:  two independent coders and a third person who made decisions in cases of disagreement.
DOI: 10.17632/k62n4z9gdz.1
title: VeReMi_Extension: Dataset for Misbehaviors in VANETs

description: This VeReMi Extension dataset consists of a set of misbehaviors in Vehicular Ad hoc Networks (VANETs)
    • Original dataset: The dataset used in this study is based on an existing dataset that Kamel et al. [1] published in 2019. They made use of the vehicle trace data from the Luxembourg SUMO Traffic (LuST) scenario, an open-source synthetic traffic scenario verified using real data from the VehicularLab of the University of Luxembourg. 39 resulting datasets make up this dataset.
    • Prepared dataset: We combined all 39 datasets into a single CSV file for our dataset. Ground-truth data and log files are included with each simulation. There is only one ground truth file that describes how a vehicle actually acts in the network, and it is used to run simulations. The ground truth file also includes an attacker type to distinguish between legitimate and misbehaving vehicles. However, in a simulation, the number of log files is equal to the number of vehicles on the network. Every vehicle creates a log file that contains all of the BSMs that were received. The first step is to combine all of the various log files into one file because there are as many log files as there are receivers. The ground truth file must then be mapped to the log files for each simulation in order to link the log files and ground truth files. We added a categorical feature called "class" for the target class to the combined dataset in order to create a labeled database. This dataset has an uneven class structure because the VeReMi Extension comprises 3,194,808 instances, with the normal class making up 59,488% of the whole database.
The publication of this work on misbehavior detection is in [2] and [3]. Researchers in a variety of disciplines, including artificial intelligence and misbehavior detection in VANETs, can use our labeled dataset.
When utilizing this dataset, please refer to the respective papers [2] and [3].
[1] J. Kamel, “Github repository: Framework for misbehavior detection (f2md),” 2019. [Online]. Available: https://github.com/josephkamel/f2md
[2] O. Slama, B. Alaya, and S. Zidi, “Towards Misbehavior Intelligent Detection Using Guided Machine Learning in Vehicular Ad-hoc Networks (VANET),” Inteligencia Artificial, vol. 25, no. 70, pp. 138–154, 2022, doi: 10.4114/intartif.vol25iss70pp138-154.
[3] O. Slama, B. Alaya, S. Zidi, and M. Tarhouni, “Comparative Study of Misbehavior Detection System for Classifying misbehaviors on VANET.,” in 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, May 2022, vol. 1, pp. 243–248.
DOI: 10.17632/2vjgr32vm2.1
title: Data for: Geochemical and Sr-Nd-Pb-Fe isotopic constraints on the formation of Fe-Si oxyhydroxide deposits at the ultra-slow spreading Southwest Indian Ridge 

description: The dataset includes whole-rock major element, Zn and S concentration data (Table 1), U and Th data and 230Th ages (Table 2), and whole-rock Sr-Nd-Pb-Fe isotope data for different samples from the SWIR Fe-Si oxyhydroxide deposits. In addition, the supplementary tables include a summary of the location, water depth, classiﬁcation, lithology, description, and mineral composition (Table S1), Mössbauer parameters for different Fe-Si oxyhydroxides (Table S2), as well as whole-rock trace element concentration data (Table S3) for different types of samples in this study.
DOI: 10.17632/9snsy6rz44.1
title: Self-imposed Liquidity Constraints via Voluntary Debt Repayment

description: This archive contains the code and fake pseudodata for the paper Self-imposed Liquidity Constraints via Voluntary Debt Repayment accepted for publication in the Journal of Financial Economics.
DOI: 10.17632/jzdj6h7gms.1
title: Creating a white blood cell dataset for segmentation

description: The KRD-WBC dataset consists of 600 images, each sized at 512x512 pixels, accompanied by corresponding ground truth images of the same dimensions. The dataset was gathered from Nanakali and Bio lab in Erbil city, located in the Kurdistan region of Iraq. It includes images of White Blood Cells (WBCs) categorized into five distinct subtypes: Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils. This dataset is valuable for medical and biological research, enabling the study and analysis of different WBC subtypes.
DOI: 10.5281/zenodo.8227167
title: MD trajectories for CyCsoSCA RuBP binding

description: This data contains aligned MD trajectories used for the final analysis of conformational sampling differences between Cyanobium CsoSCA in the presence and absence of the ligand RuBP.
DOI: 10.5281/zenodo.8227166
title: MD trajectories for CyCsoSCA RuBP binding

description: This data contains aligned MD trajectories used for the final analysis of conformational sampling differences between Cyanobium CsoSCA in the presence and absence of the ligand RuBP.
DOI: 10.7910/dvn/c4gmwf
title: Policy analysis on municipal solid waste management in Dhaka South City Corporation, Bangladesh: A qualitative study

description: The KIIs were conducted using a semistructured interview guideline supplemented by qualitative probing. Eight SWM officials from the Dhaka South City Corporation (DSCC), the Department of Environment (DoE), and the Japan International Cooperation Agency (JICA), with at least one year of working experience, were included in the study.
DOI: 10.6084/m9.figshare.23866962.v21
title: Untitled Item

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset: 7 CMIP6 GCMs (1850-2014, ACCESS-CM2 to GFDL-ESM4)Future dataset: 7 CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.34740/kaggle/dsv/6273618
title: Contrastive Language Image Pretraining by openai
DOI: 10.57841/casdc.0001786
title: PDMS材料特性和滑动速度对黏着态下摩擦峰的影响
DOI: 10.5281/zenodo.8227182
title: Information on literature sources from the GBIF dataset 'Earthworm occurrences from Russian-language literature'

description: These data provide the detailed bibliographic information about sources, included in the GBIF dataset (DOI 10.15468/cvwpyu). The aim of the work is to extract data on earthworm occurrences from scientific literature published in Russian. We processed 159 articles, monographs, collections of theses and PhD theses. Field Description language ISO 639-1 language code indicating the source language of the referent publication authorsRU The author or authors of the referenced work in Russian authorsEN The author or authors of the referenced work in English publicationTitle Title of book or article in Russian journalIdentifier Identifier to the journal, monograph or abstract book journalTitleRU Title of journal or monograph in Russian journalTitleEN Title of journal or monograph in Russian type Publication type year Year of publication issue issue, volume or number bibliographicCitation A text string referring to an un-parsed bibliographic citation. identifier DOI, ISBN, URI, etc refering to the reference.
description: This dataset is part of the project 'Quantifying the factors limiting the distribution of earthworms in European Russia: a model approach' founded by the Russian Science Foundation (23-24-00112, https://rscf.ru/en/project/23-24-00112/).