cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p6g2htzbt9.2
title: Data for: Optimal Planning and Forecasting of Active Distribution Networks Using a Multi-stage Deep Learning Based Technique 

description: This data is associated with the paper titled: Optimal Planning and Forecasting of Active Distribution Networks Using a Multi-stage Deep Learning Based Technique. The data includes results from the the models and key input data. 

This research introduces a comprehensive methodology that integrates long-term forecasting and optimal sizing and siting techniques to streamline the planning of distribution networks. The primary goal is to jointly forecast solar irradiation, wind speed, and electric load demand using advanced AI-based models. The methodology consists of two main stages: forecasting and optimal sizing and siting.

In the forecasting stage, load demand, PV irradiance, and wind speed are forecasted, and these outputs serve as initial inputs for the subsequent optimal sizing and siting stage. The latter stage formulates an optimization problem to determine the best size and location for PVs, WTs, and BESSs based on the forecasted data.

The forecasting process involves five key steps: data type selection, load bus selection (for load forecasting only), data reading, data preprocessing, and calling, training, testing, and evaluating the forecasting model.

The Load dataset covers hourly data from 3-11/2017 to 31/05/2020, comprising 22,552 data points sourced from reference [1]. Further details regarding data features and data split can be found in subsequent subsections. The dataset has been meticulously pre-processed and prepared for one-year long-term forecasting.

Additionally, a three-year historical meteorological dataset from a specific UK location spans from 1/1/2017 to 31/05/2020. Sourced from [2], this dataset contains comprehensive meteorological parameters, including solar radiation, temperature, humidity, pressure, wind speed, and wind direction, which are utilized for forecasting solar irradiance and wind speed.

The network demand was forecasted for all 12 load buses across all seasons in the 16-bus network. Likewise, solar irradiance and wind speed data were forecasted for all seasons.


[1] E. Borghini, C. Giannetti, J. Flynn, and G. Todeschini, “Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation,” Energies, vol. 14, no. 12, p. 3453, 2021.
[2] Nasa, “The Power project,” The Power project, 2023. https://power.larc.nasa.gov/.
DOI: 10.17632/9kfw4pbmw8.1
title: Model PDHFLVIKOR to supplier selection - Matlab

description: This is a product of my master's work "COMPARISON BETWEEN HESITANT FUZZY LINGUISTIC VIKOR METHODS IN THE CONTEXT OF SUPPLIER SELECTION, 2022" at the Postgraduate Program in Administration at Federal Technological University of Paraná. In my study, I performed the modeling and simulation on MATLAB based on the article WU, Z.; XU, J.; JIANG, X.; ZHONG, L. Two MAGDM models based on hesitant Fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS. Information Sciences, v. 473, p. 101-120, 2019.
DOI: 10.17632/9kfw4pbmw8.2
title: Model PDHFLVIKOR to supplier selection - Matlab

description: This is a product of my master's work "COMPARISON BETWEEN HESITANT FUZZY LINGUISTIC VIKOR METHODS IN THE CONTEXT OF SUPPLIER SELECTION, 2022" at the Postgraduate Program in Administration at Federal Technological University of Paraná. In my study, I performed the modeling and simulation on MATLAB based on the article WU, Z.; XU, J.; JIANG, X.; ZHONG, L. Two MAGDM models based on hesitant Fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS. Information Sciences, v. 473, p. 101-120, 2019.
DOI: 10.17632/fdxjv2mysd.1
title: Volatile component raw data matrics in colored foxtail millets

description: The GC-IMS  figure and component identification raw data of colored foxtail millets
DOI: 10.17632/6w92876524.1
title: Composite hybrid MIL-53(Al)@HC for bicomponent adsorption of ibuprofen and metsulfuron-methyl: application of macro- and microscopic models, and competition between contaminants. (Dataset)

description: This paper includes data from the following triplicate studies and the application of kinetic and equilibrium models of the batch adsorption of ibuprofen sodium salt and metsulfuron methyl with MIL-53(Al)@HC:
1) effect of pH0
2) adsorbent dose
3) Adsorption kinetics
4) Adsorption isotherms
5) Thermodynamic adsorption
DOI: 10.34740/kaggle/dsv/6168746
title: Balochi Language to English Translation Dataset
DOI: 10.17632/y555hgw8ny.1
title: Mendeley supplemental figure 2

description: Mendeley supplemental figure 2. Kaplan-Meier curve depicting in-treatment field recurrence or progression-free survival for 14 patients treated with palliative radiation therapy for symptomatic locoregionally advanced, unresectable cutaneous squamous cell carcinoma.
DOI: 10.17632/bffd4sk9k8.1
title: Data Loss associated with maturity

description: Data Loss associated with maturity
DOI: 10.17632/czy382wd6r.1
title: Mendeley supplemental figure 1

description: Kaplan-Meier curve depicting overall survival for 14 patients treated with palliative radiation therapy for symptomatic locoregionally advanced, unresectable cutaneous squamous cell carcinoma.
DOI: 10.17632/sdv629nbjr.1
title: Offshore Gulf of Mexico lower Purple sand and Dutch North Sea Westphalian C formation datasets

description: Open hole wireline logs from offshore Gulf of Mexico and offshore Dutch North Sea. For each well the dataset consists of compressional (DTC) and shear sonic (DTS) logs, bulk density (RHOB), Gamma Ray (GR), Neutron porosity (NPHIL), formation resistivity (RESD), and total porosity (PhiT). Only the depth interval used in our work has been included here. The full well log data for the Dutch North Sea data can be accessed via the following URL: https://www.nlog.nl/nlog-mapviewer/brh/106532227?lang=nl. 
The full well logs for the Gulf of Mexico data is available from the Bureau of Safety and Environmental Enforcement and can be accessed via the following URL: https://www.data.bsee.gov/Main/. API number of the Gulf of Mexico well is 60824400040.

The cite author showed that it is possible to estimate water saturation from P-wave (Vp) and S-wave (Vs) velocities computed from measured compressional and shear sonic logs. The new empirical model yield water saturations that are comparable to those obtainable from conventional saturation models.
DOI: 10.17632/dpz6bv56kk.1
title: Mythology and Literature: The Influence of Mythology on Literary and Artistic Product

description: The purpose of this research was to inspect the extent to which mythology can influence literature and art. The research was largely analytic in nature and used different literary domains to explore the impact of myths on the social product. In the research, certain myths were selected and studied according to their long-lasting impact compared to the other ones. The research highlights four different mythologies: Greek, Roman, Mesopotamian, and Germanic, with an emphasis on one myth from each culture: the myth of Icarus, Janus, The Epic of Gilgamesh, and The Epic of Nibelungenlied, successively. Different works of literature and art have been utilized to demonstrate how mythology influences authors and artists to exaggerate or minimize certain events. Furthermore, the position regarding the importance of myths has been reconciled with the scientific views of the natural world. The argument is that the role which science plays is different from that of myth: the former provides physical explanation about the state of nature, and the latter aims to describe our equivalent existential dilemmas that we share with ancient societies. Literary works and art suggest that the embodiment of myths has enabled us to give rise to diverse perspectives from a single myth. The research concluded that myth does not function in the absence of literature, because literature is the template into which myth is put. Borrowing a mythical theme and personifying it in literature or in art, brings into insight new issues that were overlooked in the past but are relevant today. As a result, adopting a specific tale or mythological character then adjusting and bending them into a different storyline that attracts the modern reader, has not only increased the popularity of mythology, but has also added to the success of those specific works of literature. Further, the influence of mythology on art and literature has offered fresh insights and distinct interpretations on the original mythological narrative in which it is employed to liberate us from expressive and intellectual restrictions. Thus, by demonstrating how mythology can be an endless source of information and inspiration, the dispute of its insignificance should be dismissed.
DOI: 10.17632/6z52dvvz83.1
title: Seed selection by crossbills within cones of Scots Pine

description: Crossbills Loxia species have been observed to abandon some seeds within the cone, which would appear to be a sub-optimal foraging strategy unless these represented less profitable seeds. We undertook a detailed field assessment of crossbill foraging on Scots Pine Pinus sylvestris in order to determine the cues potentially used to select seeds and whether these were based on the mass of the seed, its position within the cone, or on cone characteristic such as thickness. Analysis of Scots Pine cones dropped by foraging crossbills showed that they left behind over four seeds per cone, representing approximately one fifth of those estimated to have been originally present.  We found no evidence that seeds were left behind because they were at positions which usually contained lighter seeds. Although seeds were usually smaller underneath the basal and distal cone scales, seeds were not only left behind within these positions. Nor did crossbills start or stop foraging at a fixed position within the cone. Rather, crossbills selectively foraged on heavier seeds, regardless of their position within the cone, leaving behind the majority of seeds under 2 mg. Crossbills foraged on less well-defended cones, which contained lighter seeds, thus any seeds overlooked would tend to be lighter than the population average.  However, the magnitude of the difference in seed mass suggests additional foraging behaviour was involved. Selectively foraging on heavier seeds would be highly advantageous, avoiding wasting energy extracting lighter or empty seeds. This set of data files comprises 6 Excel files. Each file contains 2 worksheets.  The first is the data that was used for analysis in the manuscript; ‘Seed selection by crossbills within cones of Scots Pine’. The second worksheet gives a key to the meaning of the title for each column in the dataset, and a brief explanation of how the data was obtained.  Full details are given in the manuscript.  The file 'GPS tree positions' gives the locations of each point in the study sites.  These locations are not used in the data analysis. The file 'Ages of cohorts of cones' explains how the age of cones (cone age) was quantified relative to the point in time that they were first accessible to crossbills.  This term is used within all data sets and throughout the manuscript. The file ‘Cones cut from the canopy vs fed upon by crossbills’ contains records of cones either cut directly from the canopy of Scots Pine trees or collected from the forest floor after being dropped by foraging crossbills. The file ‘Undamaged cones vs cones fed upon by crossbills’ makes a similar comparison to cones which had naturally fallen to the forest floor. In the files ‘Seeds remaining within different positions of the cone’ and ‘Seeds remaining beneath scales split by crossbills’, seeds are recorded according to the position within which they remained in the cone.
DOI: 10.17632/vw3zdrsmmn.1
title: Remobilization of carbon in the lithospheric mantle during decratonization (Original Data)

description: This dataset contains the results of samples and standards presented in the study "Remobilization of carbon in the lithospheric mantle during decratonization", submitted to Geochimica et Cosmochimica Acta.
DOI: 10.17632/wpb2f53r9r.1
title: Impact of COVID-19 on melanoma

description: The impact of COVID-19 in 2020 on the diagnosis, treatment, and outcomes of invasive cutaneous melanoma: a retrospective national cohort study
DOI: 10.17632/wpb2f53r9r.2
title: Impact of COVID-19 on melanoma

description: The impact of COVID-19 in 2020 on the diagnosis, treatment, and outcomes of invasive cutaneous melanoma: a retrospective national cohort study
DOI: 10.17632/z96z3m4rdz.1
title: Iron redox states in closed-basin lakes on early Mars: Its sensitivity to water chemistry, hydrology, and atmospheric composition

description: Numerical data of figures of article "Iron redox states in closed-basin lakes on early Mars: Its sensitivity to water chemistry, hydrology, and atmospheric composition" submitted to Geochimica et Cosmochimica Acta.
DOI: 10.17632/c4fxs5y2nc.1
title: Mosquitofish Morph Lateralization

description: This is the data for the manuscript "Color morphs of the Eastern Mosquitofish (Gambusia holbrooki) differ in visual lateralization."  This original data set aims to explore if a difference in lateralization between the common silver morph and rare spotted morph of the Eastern Mosquitofish. To do so, the fish were exposed to a simulated heron strike via a 3-D printed model of a Tricolored Heron beak, our "Heron Harpoon," and eye use was recorded during lateral inspection of the affected area. Fish were tested as individuals, in monomorphic groups of 5, heteromorphic groups of 5, and finally as individuals for consistency. Overall, mottled males displayed strongly lateralized left eye use where silver males displayed mixed lateralization across all treatments. When checked for shoal turning cohesion, individual fish did not appear to modify their behavior to follow the group.
DOI: 10.25345/c5891218m
title: MassIVE MSV000092491 - ADO Governs Mitochondrial Redox Homeostasis through Proline Metabolism
title: he pathophysiological roles of 2-aminoethanethiol deoxygenase (ADO) remain understudied. In this work, we show that in addition to its identified role to sulfinylate cysteamine and N-terminal cysteines in polypeptides, loss of ADO leads to oxidative stress. This ultimately results in loss of cell growth and survival in the 6 different cancer cell lines surveyed. We have comprehensively characterized the cell metabolome and proteome and have identified that loss of ADO drives dysregulation of glutathione, polyamine and proline metabolism. This work identifies ADO as an essential protein for redox homeostasis through leveraging the cancer metabolome in three different cancer types.
DOI: 10.17632/cxhy4pwzrc.1
title: Analysed ERP data of Experiments for "Temporal dynamics of understanding communicative intentions from speech prosody"

description: The dataset includes the analyzed ERP data for the manuscript "Temporal dynamics of understanding communicative intentions from speech prosody". You can find the detailed description of the data in the corresponding folders.
DOI: 10.13020/9ndx-w074
title: Data files for Liquid-Like States in Micelle-Forming Diblock Copolymer Melts

description: These are the SCFT output and processed files reported in this paper. Instructions for regenerating all intermediate data files are also included.
DOI: 10.5281/zenodo.7775369
title: Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots"

description: Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots" We changed the datasets' titles and omitted authors' names for the blind review process. After the review, we will upload it to GitHub in an unanonymised form. Check README.md for details.
DOI: 10.5281/zenodo.7775368
title: Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots"

description: Datasets used in the paper "The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots" We changed the datasets' titles and omitted authors' names for the blind review process. After the review, we will upload it to GitHub in an unanonymised form. Check README.md for details.
DOI: 10.17632/b54yx74r5f.1
title: BEHAVIORAL DATA

description: BEHAVIORAL DATA
DOI: 10.17632/b54yx74r5f.2
title: BEHAVIORAL DATA

description: BEHAVIORAL DATA
DOI: 10.5281/zenodo.8169841
title: Embedded machine learning to promote detection of unsafe environments

description: Datasets used to train and validate the devices and model described in the paper "<strong>Embedded machine learning of IoT streams to promote early detection of unsafe environments</strong>"
DOI: 10.5281/zenodo.8169840
title: Embedded machine learning to promote detection of unsafe environments

description: Datasets used to train and validate the devices and model described in the paper "<strong>Embedded machine learning of IoT streams to promote early detection of unsafe environments</strong>"
DOI: 10.5281/zenodo.8169935
title: loxia_pytyopsittacus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8169934
title: loxia_pytyopsittacus_spades_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/6168801
title: Inverter Load Analysis Dataset
DOI: 10.17632/phxpmw7fk5.1
title: Tax Uncertainty and Corporate Innovation

description: This study selected all Shanghai and Shenzhen A-share listed companies from 2008 to 2020 as the initial sample after considering the new corporate income tax system introduced in 2008. We exclude samples according to the following criteria: (1) companies with a negative denominator of the effective tax rate; (2) companies with an effective tax rate greater than 1 or less than 0; (3) special treatment companies and companies from the financial industry; and (4) samples with missing values. These eliminations restricted our final sample to 22,257 firm-year observations. To mitigate the impact of outliers, all continuous variables were winsorized at the 1st and 99th percentiles.
The company’s financial data are obtained from the China Securities Market and Accounting Research and Wind databases. When measuring enterprise innovation, patent data were downloaded from the official website of the State Patent Office (www.pss-system.gov.cn) using Python language programming. Depending on the applicant, we matched the company’s name and determined the classification of patents according to the International Patent Classification.
DOI: 10.17632/phxpmw7fk5.2
title: Tax Uncertainty and Corporate Innovation

description: This study selected all Shanghai and Shenzhen A-share listed companies from 2008 to 2020 as the initial sample after considering the new corporate income tax system introduced in 2008. We exclude samples according to the following criteria: (1) companies with a negative denominator of the effective tax rate; (2) companies with an effective tax rate greater than 1 or less than 0; (3) special treatment companies and companies from the financial industry; and (4) samples with missing values. These eliminations restricted our final sample to 22,257 firm-year observations. To mitigate the impact of outliers, all continuous variables were winsorized at the 1st and 99th percentiles.
The company’s financial data are obtained from the China Securities Market and Accounting Research and Wind databases. When measuring enterprise innovation, patent data were downloaded from the official website of the State Patent Office (www.pss-system.gov.cn) using Python language programming. Depending on the applicant, we matched the company’s name and determined the classification of patents according to the International Patent Classification.
DOI: 10.17632/y4mnw9nd8r.1
title: MSME's Performance Data

description: MSME's Performance Data DIB Data Tabulation
DOI: 10.17632/s44d9z3x9r.1
title: Dataset of Container Round Use platform

description: This study aims to identify factors influencing the adoption of Container Round-Use Platforms in the Vietnamese supply chain and examine the relationship and degree of influence between these factors and the platform's adoption.
DOI: 10.17632/78n77fjnsg.1
title: TPACK Learning Data

description: TPACK Learning Data Tabulation
DOI: 10.25966/v29p-v956
title: Advanced Reconfigurable Electrified Aircraft Laboratory (AREAL) Preliminary UE Testing Results per AS7499

description: The NASA Glenn Research Center (GRC) Advanced Reconfigurable Electrified Aircraft Laboratory (AREAL) was utilized to perform preliminary UE testing per AS7499 at 325Vdc. This document reflect the test results, findings, and conclusions from the preliminary UE testing.
DOI: 10.5281/zenodo.8169959
title: lepetodrilus_fucensis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8169958
title: lepetodrilus_fucensis_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc26hg17
title: CCDC 2040638: Experimental Crystal Structure Determination

description: Related Article: Yankun Xu, Mingjie Sun, Weiwei Xu, Guobo Deng, Yun Liang, Yuan Yang|2023|J.Am.Chem.Soc.|145|15303|doi:10.1021/jacs.3c02875
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpy34
title: CCDC 2195826: Experimental Crystal Structure Determination

description: Related Article: Yankun Xu, Mingjie Sun, Weiwei Xu, Guobo Deng, Yun Liang, Yuan Yang|2023|J.Am.Chem.Soc.|145|15303|doi:10.1021/jacs.3c02875
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3g00
title: CCDC 2207851: Experimental Crystal Structure Determination

description: Related Article: Liu-Peng Zhao, Sheng-Ye Zhang, Hua-Kui Liu, Yu-Jing Cheng, Zhi-Pan Liu, Lijia Wang, Yong Tang|2023|J.Am.Chem.Soc.|145|15553|doi:10.1021/jacs.3c04989
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3g11
title: CCDC 2207852: Experimental Crystal Structure Determination

description: Related Article: Liu-Peng Zhao, Sheng-Ye Zhang, Hua-Kui Liu, Yu-Jing Cheng, Zhi-Pan Liu, Lijia Wang, Yong Tang|2023|J.Am.Chem.Soc.|145|15553|doi:10.1021/jacs.3c04989
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3bd9
title: CCDC 2237530: Experimental Crystal Structure Determination

description: Related Article: Naoya Hamada, Daigo Hayashi, Ryo Shintani|2023|Chem.Commun.|59|9122|doi:10.1039/D3CC00442B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.