cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60797/irj.2024.150.108.3
title: Корреляционное отношение (r) между гидротермическими показателями по месяцам в годы исследования

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.109.1
title: ESG-факторы

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.108.4
title: Корреляционное отношение (r) урожайности сортообразцов ярового ячменя и гидротермическими показателями

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.17863/cam.82795
title: Research data supporting "Portable, desktop high-field magnet systems using bulk, single-grain RE-Ba-Cu-O high-temperature superconductors"

description: Research data supporting [Portable, desktop high-field magnet systems using bulk, single-grain RE-Ba-Cu-O high-temperature superconductors]. The Microsoft Excel file contains all data plotted in figures 1 to 8 except figure 2 in the main manuscript. Figure 2 is the schematic diagram of the experimental rigs. For all pulsed field magnetization data, the sample was first cooled down from the normal state to the superconducting state then a single pulsed field or a sequence of two pulsed fields (two-step multi-pulse) were applied to it. The values of trapped field shown in the data file are the values recorded at 15 seconds after applying each pulsed field. After reaching the set temperature the wait time before applying a magnetizing pulse was from was from ~5 min (at 77 K) to ~15 min (at 55 K) to allow sufficient time for the sample and the sample holder to reach the thermal equilibrium. Unless stated otherwise, the applied field and the trapped field were the peak value of the magnetizing pulse and the trapped field at the centre of the top surface of each sample, respectively. For the field cooling data, the sample was cooled from room temperature to 77 K, in an applied field of 1.5 T from a copper electromagnet, using a liquid nitrogen bath. The applied field was then removed and the trapped field profiles at 1.5 mm above the top surfaces of the sample were measured. A hand-held gaussmeter was also used to find the maximum trapped field on the surface of each sample. See the main manuscript for more details.
DOI: 10.60797/irj.2024.150.110.1
title: Пример 1

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.2
title: Пример 2

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.111.1
title: Создание сонета ИИ на русском и английском языках

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.111.2
title: Примеры перевода сонета У. Шекспира

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.3
title: Пример 3

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.109.6
title: Влияние ESG-факторов на стоимость бизнеса крупных мировых управляющих компаний

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.4
title: Пример 4

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.109.7
title: Финансовые показатели BlackRock, 2021-2024 гг.

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.5
title: Пример 5

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.109.8
title: Рекомендации по применению мирового опыта применения ESG-факторов в финансовой деятельности российских управляющих компаний

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.6
title: Пример 6

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.7
title: Пример 7

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.110.8
title: Пример 8

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.17863/cam.39435
title: Research data supporting "Erbium-doped polymer waveguide amplifiers for board-level optical interconnects", presented at ICTON conference 2019

description: Excel data file with all the simulation results used for the conference presentation and proceedings
DOI: 10.60797/irj.2024.150.110.9
title: Пример 9

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.116.1
title: Характеристика дубово-грабового фитоценоза лесов Майкопского района Республики Адыгея

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.120.1
title: Характеристика «паблик рилейшнз», «пропаганды», «рекламы» по параметрам сравнения

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.122.1
title: Результаты обучения и критерии оценки проекта

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.125.1
title: Длительность заболевания у пациенток с хроническим циститом

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.5281/zenodo.14229648
title: Nanostructured Boron-Doped Ultra-nanocrystalline Diamond Micro-pyramids: Efficient Electrochemical Supercapacitors

description: The data set to paper: 

Nanostructured Boron-Doped Ultra-nanocrystalline Diamond Micro-pyramids: Efficient Electrochemical Supercapacitors

Shradha Suman 1,2, Dhananjay Kumar Sharma 3, Ondrej Szabo 3, Benadict Rakesh 1,2, Marian Marton 4, Marian Vojs 4, Kamatchi Jothiramalingam Sankaran 1,2,*, and Alexander Kromka 3,*

1 CSIR-Institute of Minerals and Materials Technology, Bhubaneswar 751013, India. 2 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.3 Institute of Physics of the Czech Academy of Sciences, 16200 Prague, Czech Republic. 4 Institute of Electronics and Photonics, Slovak University of Technology, 81219 Bratislava.*    Correspondence: kjsankaran@immt.res.in (K.J.S.);  kromka@fzu.cz (A.K.)

Date of data collection: 21. 3. 2024 - 5. 7. 2024

All the data shown in the pictures are provided in X-Y format with the described sample. Always, the respective figure to which the data belongs is provided in high resolution. The data are in the following formats: Figure 1: pdf, TIFFigure 2: pdf, TIFFigure 3: pdf, TIFFigure 4: pdf, TIF, xlsxFigure 5: pdf, TIF, xlsxFigure 6: pdf, TIF, xlsxFigure 7: pdf, TIF, xlsxFigure 8: pdf, TIF, xlsxFigure 9: pdf, TIF, xlsxFigure 10: pdf, TIF, xlsxFigure 11: pdf, TIF, xlsxFigure S1: pdf, TIFFigure S2: pdf, TIFFigure S3: pdf, TIF, xlsxFigure S4: pdf, TIF, xlsxFigure S5: pdf, TIFFigure S6: pdf, TIF, xlsxFigure S7: pdf, TIF, xlsxFigure S8: pdf, TIF, xlsxFigure S9: pdf, TIF, xlsxFigure S10: pdf, TIF, xlsxFigure S11: pdf, TIF, xlsxFigure S12: pdf, TIF, xlsxFigure S13: pdf, TIF, xlsxFigure S14: pdf, TIF, xlsxFigure S15: pdf, TIF, xlsx

The Excel file (xlsx) always contains the description of the columns in the first row. In the case of a composed image, the name of the file corresponds to the corresponding figure.

Data acquisition and processing are provided in the Experimental part of the publication: DOI: 10.1002/smll.202407514
DOI: 10.5281/zenodo.14229649
title: Nanostructured Boron-Doped Ultra-nanocrystalline Diamond Micro-pyramids: Efficient Electrochemical Supercapacitors

description: The data set to paper: 

Nanostructured Boron-Doped Ultra-nanocrystalline Diamond Micro-pyramids: Efficient Electrochemical Supercapacitors

Shradha Suman 1,2, Dhananjay Kumar Sharma 3, Ondrej Szabo 3, Benadict Rakesh 1,2, Marian Marton 4, Marian Vojs 4, Kamatchi Jothiramalingam Sankaran 1,2,*, and Alexander Kromka 3,*

1 CSIR-Institute of Minerals and Materials Technology, Bhubaneswar 751013, India. 2 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.3 Institute of Physics of the Czech Academy of Sciences, 16200 Prague, Czech Republic. 4 Institute of Electronics and Photonics, Slovak University of Technology, 81219 Bratislava.*    Correspondence: kjsankaran@immt.res.in (K.J.S.);  kromka@fzu.cz (A.K.)

Date of data collection: 21. 3. 2024 - 5. 7. 2024

All the data shown in the pictures are provided in X-Y format with the described sample. Always, the respective figure to which the data belongs is provided in high resolution. The data are in the following formats: Figure 1: pdf, TIFFigure 2: pdf, TIFFigure 3: pdf, TIFFigure 4: pdf, TIF, xlsxFigure 5: pdf, TIF, xlsxFigure 6: pdf, TIF, xlsxFigure 7: pdf, TIF, xlsxFigure 8: pdf, TIF, xlsxFigure 9: pdf, TIF, xlsxFigure 10: pdf, TIF, xlsxFigure 11: pdf, TIF, xlsxFigure S1: pdf, TIFFigure S2: pdf, TIFFigure S3: pdf, TIF, xlsxFigure S4: pdf, TIF, xlsxFigure S5: pdf, TIFFigure S6: pdf, TIF, xlsxFigure S7: pdf, TIF, xlsxFigure S8: pdf, TIF, xlsxFigure S9: pdf, TIF, xlsxFigure S10: pdf, TIF, xlsxFigure S11: pdf, TIF, xlsxFigure S12: pdf, TIF, xlsxFigure S13: pdf, TIF, xlsxFigure S14: pdf, TIF, xlsxFigure S15: pdf, TIF, xlsx

The Excel file (xlsx) always contains the description of the columns in the first row. In the case of a composed image, the name of the file corresponds to the corresponding figure.

Data acquisition and processing are provided in the Experimental part of the publication: DOI: 10.1002/smll.202407514
DOI: 10.60797/irj.2024.150.125.2
title: Результаты бактериологического возбудителя по этиологическому возбудителю хронического цистита

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.126.1
title: Результаты взаимосвязи проактивного поведения с вовлеченностью

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.126.2
title: Динамика показателей вовлеченности по «Утрехтской шкале увлеченности работой»

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.125.3
title: Данные дневников мочеиспускания до и после лечения пациенток основной и контрольной групп

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.125.4
title: Показатели общего анализа мочи пациенток с хроническим циститом контрольной и основной групп до и после лечения

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.124.4
title: Основные данные по моделям 1-Box и Davis

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.126.4
title: Динамика показателей по «Ольденбургскому опроснику профессионального выгорания»

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.17863/cam.46896
title: Research data supporting "Which quantum statistics–classical dynamics method is best for water?"

description: This dataset contains the spectra reported in "Which quantum statistics–classical dynamics method is best for water?" (DOI:10.1039/C9FD00077A), alongside the associated time-correlation functions. Python scripts to process the data and generate the figures are also included.
DOI: 10.60797/irj.2024.150.126.5
title: Динамика общей проактивности

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.130.2
title: Биохимический анализ крови в динамике

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.132.1
title: Пример 1

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.125.5
title: Данные цистоскопии пациенток с хроническим циститом до и после лечения в основной и контрольных группах

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.126.6
title: Динамика показателей по методике «Проактивное совладающее поведение» в результате тренинга

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.133.1
title: Суточная молочная продуктивность и компонентный состав молока коров голштинской породы в опытном стаде ПЗ «Ладожский»

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.125.6
title: Показатели урофлоуметрии у пациенток с хроническим циститом до и после лечения в основной и контрольных группах

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.130.3
title: Иммунохимический анализ крови

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.134.3
title: Содержание органического вещества и золы в химусе кишечника енотовидных собак

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.134.4
title: Концентрация марганца в химусе и его фракциях енотовидных собак

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.140.1
title: Анализ гетерогенности NK и NKT–лимфоцитов концентрата пуповинной крови

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.134.5
title: Cодержание марганца в cтенке пищеварительного тракта енотовидных собак

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.141.1
title: Two main directions of international academic mobility of KFU students

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.141.2
title: List of interview questions

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.6084/m9.figshare.27054385
title: A Quality Control System for Historical In Situ Precipitation Data

description: In this study, a comprehensive quality control (QC) system for in-situ precipitation data records was developed and applied to Canadian in situ precipitation datasets. The system includes a pair of screening procedures to screen for two types of random errors: one procedure is applied to the untransformed monthly total precipitation data series, which is good at finding erroneous data of unusually large values; another is applied to the log-transformed monthly precipitation data (in mm) series, log(<i>P </i>+ 0.1), which is good at identifying erroneous zero or near-zero monthly total precipitation amounts. The system then applies three QC (threshold, kriging, and temporal) tests and a decision-making process to confirm whether the screened suspects are erroneous. There is generally good agreement between all the QC tests, while the decision-making process yields the most accurate results when compared to the manually reviewed results. The QC work on Canadian precipitation data sets revealed that it is necessary to apply a pair of screening procedures to identify both types of random errors. All the monthly values identified to be erroneous are set to missing, and so are the corresponding daily values, while keeping records of the original data.
DOI: 10.6084/m9.figshare.27054385.v1
title: A Quality Control System for Historical In Situ Precipitation Data

description: In this study, a comprehensive quality control (QC) system for in-situ precipitation data records was developed and applied to Canadian in situ precipitation datasets. The system includes a pair of screening procedures to screen for two types of random errors: one procedure is applied to the untransformed monthly total precipitation data series, which is good at finding erroneous data of unusually large values; another is applied to the log-transformed monthly precipitation data (in mm) series, log(<i>P </i>+ 0.1), which is good at identifying erroneous zero or near-zero monthly total precipitation amounts. The system then applies three QC (threshold, kriging, and temporal) tests and a decision-making process to confirm whether the screened suspects are erroneous. There is generally good agreement between all the QC tests, while the decision-making process yields the most accurate results when compared to the manually reviewed results. The QC work on Canadian precipitation data sets revealed that it is necessary to apply a pair of screening procedures to identify both types of random errors. All the monthly values identified to be erroneous are set to missing, and so are the corresponding daily values, while keeping records of the original data.
DOI: 10.15468/dl.w4htnj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Orthophytum humile L.B.Sm., Orthophytum heleniceae Leme)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037601-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eazadt
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthophytum hatschbachii Leme"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037602-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.44405
title: Research data supporting ‘WP 9.2: Reconstructing business proprietor responses for censuses 1851-81: a tailored logit cut-off method’: final decisions

description: This dataset contains the codes for the decisions in England and Wales made for each Sub-Occode to assign each individual identified by RecID to a status of employer or own account entrepreneur. (worker RecIDs are given in a separate download). This is method EMPSTATUS_IND as outlined in the BBCE User Guide. The method is given in full in WP 9.2. The codes are: SubOccode - SubOccode code Ent_rou_01 - Estimate of number of entrepreneurs based on the rounded 1891 data using a cut-off of 0.1 … Ent_rou_08 - Estimate of number of entrepreneurs based on the rounded 1891 data using a cut-off of 0.8 Ent_r01aE_Wo - Estimate of number of entrepreneurs based on the rounded 1891 data using a cut-off of 0.1, after the extracted entrepreneurs are imposed … Ent_r08aE_Wo - Estimate of number of entrepreneurs based on the rounded 1891 data using a cut-off of 0.8, after the extracted entrepreneurs are imposed Decision - Code indicating the option used. 12 codes exist: 1-0.1 cut-off; 15-0.15 cut-off; 2-0.2 cut-off; 25-0.25 cut-off; 3-0.3 cut-off; 35-0.35 cut-off; 4-0.4 cut-off; 45-0.45 cut-off; 5-0.5 cut-off; 6-0.6 cut-off; 7-0.7 cut-off; 8-0.8 cut-off
DOI: 10.60797/irj.2024.150.124.23
title: Показатели взлета ПОТ при β = 77,9°

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.60797/irj.2024.150.124.24
title: Сводная таблица показателей расчетов по взлету ПОТ Davis до высоты 25 м со сменой угла наклона траста β

description: Международный научно-исследовательский журнал, Выпуск 12 (150) 2024
DOI: 10.5281/zenodo.14506120
title: VirDetector Tutorial Data

description: This repository contains the files from the VirDetector tutorial. These include:- Input data- Resources- Config file- Outputs
DOI: 10.5281/zenodo.14506121
title: VirDetector Tutorial Data

description: This repository contains the files from the VirDetector tutorial. These include:- Input data- Resources- Config file- Outputs
DOI: 10.5281/zenodo.14506333
title: Psychophysiological data from experiment under EU H2020 project COMFOCUS (experimenter: Achilleas Vassilopoulos)

description: This is the psychophysiological data from a study run by Achilleas Vassilopoulos for EU H2020 project COMFOCUS.
DOI: 10.5281/zenodo.14506334
title: Psychophysiological data from experiment under EU H2020 project COMFOCUS (experimenter: Achilleas Vassilopoulos)

description: This is the psychophysiological data from a study run by Achilleas Vassilopoulos for EU H2020 project COMFOCUS.
DOI: 10.5281/zenodo.11583450
title: TabGraphs
DOI: 10.5281/zenodo.11640388
title: TabGraphs
DOI: 10.5281/zenodo.13819592
title: TabGraphs
DOI: 10.5281/zenodo.11625344
title: TabGraphs
DOI: 10.5281/zenodo.13823102
title: TabGraphs
DOI: 10.17863/cam.65746
title: Dataset for Catalyst-Mediated Enhancement of Carbon Nanotube Textiles by Laser Irradiation: Nanoparticle Sweating and Bundle Alignment

description: The folder contains Microsoft Excel files (.xlsx) of Raman spectra, Thermogravimetric Analysis data, and TEM Energy Dispersive X-ray spectroscopy (EDX) data for the samples analysed in the work, the results from the macroscale thermomechanical model and the Python code for the microscale model.
DOI: 10.21227/thbw-dj39
title: Unemployment

description:     The dataset used in this study is a comprehensive, publicly available dataset designed for research purposes, encompassing various features related to the public sector. It includes data on all genders (male and female) from diverse regions, age groups, and educational levels. The dataset was sourced from CAPMAS reports (2018-2023), which provide quarterly updates on the labor force, including details on unemployment assessments categorized by geographical distribution. This research specifically focuses on the labor force survey bulletin from CAPMAS covering the period from the fourth quarter (October–November–December) of 2018 to the second quarter of 2023.
DOI: 10.17863/cam.4931
title: Research data supporting “Characterization and evaluation of methane oxidation catalysts for dual fuel diesel and natural gas engines”

description: Data to support publication figures
DOI: 10.17863/cam.24492
title: Data to support: Acute inflammation sensitizes knee-innervating sensory neurons and decreases mouse digging behavior in a TRPV1-dependent manner

description: Raw data sets and example images used in publication
DOI: 10.17863/cam.110401
title: Research Data Supporting "Fast Neural Network Inverse Model to Maximize Throughput in Ultra-Wideband WDM Systems"

description: This dataset (one excel file with multiple sheets) contains all the necessary data used to produce Figure 1 and Figure 4 to 10 in our manuscript. It contains the fibre attenuation and Raman gain spectrum used in the physical layer for Figure 1; hyperparameter optimisation, training, and validation data for the proposed DNN for Figure 4; performance evaluation of 3 approaches mentioned in the manuscript for Figure 5; optimal launch power profiles by PSO and the corresponding SNR profiles for Figure 6; Flat target SNR profiles and the desired launch power profiles for Figure 7; Parameter optimisation for the proposed greedy algorithm for Figure 8; optimal launch power profiles by the greedy algorithm and the corresponding SNR profiles for Figure 9; and achieved throughput and computational time of all approaches for Figure 10.