cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rrgmy5n7c5
title: Works Published by the KGB Higher School and School No. 101 - Y.V. Andropov Institute

description: This database consists of bibliographic data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset comprises a rich and diverse collection of publications related to the research subject of intelligence theory and science.

This collection includes the bibliographic details of various types of works, including but not limited to:

Аналитические обзоры (Analytical Reviews)

Аналитические исследования (Analytical Studies)

Дипломные работы курсантов (Diploma Theses of Cadets)

Доклады преподавателей (Faculty Reports)

Официальные документы КГБ, касающиеся вузов Комитета (Official KGB Documents Concerning the Committee's Higher Education Institutions)

Методики (Methodological Guides)

Монографии (Monographs)

Научные отчеты (Scientific Reports)

Учебные пособия (Study Aids / Textbooks)

Учебные материалы (в виде брошюры и книги) (Educational Materials (in brochure and book form))

Рефераты (Papers/Abstracts)

Сборник документов (Collections of Documents)

Сборник материалов научных конференций в вузах КГБ (Collections of Materials from Scientific Conferences at KGB Higher Education Institutions)

Сборник материалов (аналитические обзоры, исследования и т.д.) (Collections of Materials (analytical reviews, studies, etc.))

Сборники научных сообщений (Collections of Scientific Communications)

Сборники научных статей (Collections of Scientific Articles)

Словари (Dictionaries)

Статьи в сборниках (Articles in Collections)

Статьи в журналах, не рассмотриваемых в данном исследования из-за недоступности (Articles in Journals Not Reviewed in This Study Due to Inaccessibility)

Указания начальства КГБ и вузов (Directives from the Leadership of the KGB and Higher Education Institutions)

Части в монографиях (Chapters in Monographs)

Планов учений и задачей для курсантов и преподавателей (Exercise Plans and Tasks for Cadets and Faculty)

The data were compiled by manually scanning and identifying the bibliographic details (citations) of works referenced in the main texts and footnotes of the primary sources listed below. Publications not directly relevant to the research topic were excluded.

Each entry in the dataset includes the following fields: author information, title of the work, year of preparation, and the institutional affiliation (institution where the work was prepared/published).
DOI: 10.17632/rrgmy5n7c5.1
title: Works Published by the KGB Higher School and School No. 101 - Y.V. Andropov Institute

description: This database consists of bibliographic data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset comprises a rich and diverse collection of publications related to the research subject of intelligence theory and science.

This collection includes the bibliographic details of various types of works, including but not limited to:

Аналитические обзоры (Analytical Reviews)

Аналитические исследования (Analytical Studies)

Дипломные работы курсантов (Diploma Theses of Cadets)

Доклады преподавателей (Faculty Reports)

Официальные документы КГБ, касающиеся вузов Комитета (Official KGB Documents Concerning the Committee's Higher Education Institutions)

Методики (Methodological Guides)

Монографии (Monographs)

Научные отчеты (Scientific Reports)

Учебные пособия (Study Aids / Textbooks)

Учебные материалы (в виде брошюры и книги) (Educational Materials (in brochure and book form))

Рефераты (Papers/Abstracts)

Сборник документов (Collections of Documents)

Сборник материалов научных конференций в вузах КГБ (Collections of Materials from Scientific Conferences at KGB Higher Education Institutions)

Сборник материалов (аналитические обзоры, исследования и т.д.) (Collections of Materials (analytical reviews, studies, etc.))

Сборники научных сообщений (Collections of Scientific Communications)

Сборники научных статей (Collections of Scientific Articles)

Словари (Dictionaries)

Статьи в сборниках (Articles in Collections)

Статьи в журналах, не рассмотриваемых в данном исследования из-за недоступности (Articles in Journals Not Reviewed in This Study Due to Inaccessibility)

Указания начальства КГБ и вузов (Directives from the Leadership of the KGB and Higher Education Institutions)

Части в монографиях (Chapters in Monographs)

Планов учений и задачей для курсантов и преподавателей (Exercise Plans and Tasks for Cadets and Faculty)

The data were compiled by manually scanning and identifying the bibliographic details (citations) of works referenced in the main texts and footnotes of the primary sources listed below. Publications not directly relevant to the research topic were excluded.

Each entry in the dataset includes the following fields: author information, title of the work, year of preparation, and the institutional affiliation (institution where the work was prepared/published).
DOI: 10.15468/dl.mce6jr
title: Occurrence Download

description: A dataset containing 43308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bufotes viridis"
 ]
}

 The dataset includes 43308 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006762-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hytkgj86gj
title: MonkeyPox Skin Image Dataset for Computer Vision (MPox-Vision)

description: Mpox-Vision is a quality-verified dataset of monkeypox skin images curated to support the development of reliable AI-based diagnostic systems. All images have been reviewed by two medical experts to ensure proper focus, exposure, and clinical relevance. The dataset excludes irrelevant, mislabeled, or noisy images, making it clean and suitable for training robust and generalizable models. Mpox-Vision offers a dependable resource for advancing skin lesion classification and AI-assisted diagnosis, especially in low-resource settings. Please cite the following paper if you use this dataset:
Hossain, M. S., Ahmed, M., & Rahman, M. S. (2025). From survey to solution: A deep learning framework for reliable monkeypox diagnosis using skin images. Array, 28, 100554. https://doi.org/10.1016/j.array.2025.100554
DOI: 10.17632/hytkgj86gj.2
title: MonkeyPox Skin Image Dataset for Computer Vision (MPox-Vision)

description: Mpox-Vision is a quality-verified dataset of monkeypox skin images curated to support the development of reliable AI-based diagnostic systems. All images have been reviewed by two medical experts to ensure proper focus, exposure, and clinical relevance. The dataset excludes irrelevant, mislabeled, or noisy images, making it clean and suitable for training robust and generalizable models. Mpox-Vision offers a dependable resource for advancing skin lesion classification and AI-assisted diagnosis, especially in low-resource settings. Please cite the following paper if you use this dataset:
Hossain, M. S., Ahmed, M., & Rahman, M. S. (2025). From survey to solution: A deep learning framework for reliable monkeypox diagnosis using skin images. Array, 28, 100554. https://doi.org/10.1016/j.array.2025.100554
DOI: 10.17632/kxm5shkj5y
title: Special Courses in Higher Education System of Russian Intelligence

description: This database consists of data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset contains data related to the research subject, specifically concerning the courses taught at the KGB Higher School and the Andropov Institute (including course names, contents, and related details).

The data were compiled by manually scanning and identifying references to these courses or information related to them within the main texts and footnotes of the primary sources listed below. Publications or data not directly relevant to the research topic were excluded.

Each entry in the dataset includes descriptive fields such as course information (course name, etc.), the relevant institution, and year.

Primary Data Sources:

Issues 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 21, 23, 24, 25, 26, 27, 28-29, 30, 31, 36, 37-38, 39, 41-42, 43, 44, 45 of the journal "Труды Высшей Школы" (Trudy Vysshey Shkoly), publicly available in the Lithuanian Special Archives (Lietuvos ypatingasis archyvas).

Training materials publicly available in the Lithuanian Special Archives: “Английская Разведка” (British Intelligence), “Разведка Федеративной Республики Германии” (Intelligence of the Federal Republic of Germany), “Разведка США” (US Intelligence), “Литовские, латышские и эстонские буржуазные националисты” (Lithuanian, Latvian and Estonian Bourgeois Nationalists), “Беларусские буржуазные националисты” (Belarusian Bourgeois Nationalists), and “Украинские буржуазные националисты” (Ukrainian Bourgeois Nationalists).

29 lecture materials published by the "For Free Russia Foundation".
DOI: 10.17632/kxm5shkj5y.1
title: Special Courses in Higher Education System of Russian Intelligence

description: This database consists of data extracted from sources analyzed within the scope of the authors' research project titled "Russian School of Intelligence Theory". The dataset contains data related to the research subject, specifically concerning the courses taught at the KGB Higher School and the Andropov Institute (including course names, contents, and related details).

The data were compiled by manually scanning and identifying references to these courses or information related to them within the main texts and footnotes of the primary sources listed below. Publications or data not directly relevant to the research topic were excluded.

Each entry in the dataset includes descriptive fields such as course information (course name, etc.), the relevant institution, and year.

Primary Data Sources:

Issues 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 21, 23, 24, 25, 26, 27, 28-29, 30, 31, 36, 37-38, 39, 41-42, 43, 44, 45 of the journal "Труды Высшей Школы" (Trudy Vysshey Shkoly), publicly available in the Lithuanian Special Archives (Lietuvos ypatingasis archyvas).

Training materials publicly available in the Lithuanian Special Archives: “Английская Разведка” (British Intelligence), “Разведка Федеративной Республики Германии” (Intelligence of the Federal Republic of Germany), “Разведка США” (US Intelligence), “Литовские, латышские и эстонские буржуазные националисты” (Lithuanian, Latvian and Estonian Bourgeois Nationalists), “Беларусские буржуазные националисты” (Belarusian Bourgeois Nationalists), and “Украинские буржуазные националисты” (Ukrainian Bourgeois Nationalists).

29 lecture materials published by the "For Free Russia Foundation".
DOI: 10.17632/96s99kgshd
title: The Left-Digit Effect Across Visual and Auditory Modalities

description: The Left-Digit Effect Across Visual and Auditory Modalities
DOI: 10.17632/96s99kgshd.2
title: The Left-Digit Effect Across Visual and Auditory Modalities

description: The Left-Digit Effect Across Visual and Auditory Modalities
DOI: 10.17632/9n49ghp5jv
title: Real Action for the Earth: Welcoming a Future Without Climate Crisis

description: This dataset contains the results of research entitled "Real Action for the Earth: Welcoming a Future Without Climate Crisis", which aims to understand the level of public awareness and real actions on climate change issues, especially in the context of Sustainable Development Goals (SDG 13).
DOI: 10.17632/9n49ghp5jv.1
title: Real Action for the Earth: Welcoming a Future Without Climate Crisis

description: This dataset contains the results of research entitled "Real Action for the Earth: Welcoming a Future Without Climate Crisis", which aims to understand the level of public awareness and real actions on climate change issues, especially in the context of Sustainable Development Goals (SDG 13).
DOI: 10.17632/8vktpmg56f
title: Early Paleozoic granulite in the Yunkai Massif: constraints on the onset of post-orogenic extension in South China

description: This database provides bulk-rock and mineral chemistry, zircon U–Pb geochronology, and trace-element data for the Gaozhou pelitic granulites, Yunkai Massif, South China.
DOI: 10.17632/8vktpmg56f.1
title: Early Paleozoic granulite in the Yunkai Massif: constraints on the onset of post-orogenic extension in South China

description: This database provides bulk-rock and mineral chemistry, zircon U–Pb geochronology, and trace-element data for the Gaozhou pelitic granulites, Yunkai Massif, South China.
DOI: 10.17632/jd5rf69ktj
title: Ba Be Lake (Northern Vietnam) sediment core dataset: sedimentological, geochemical, and radionuclide data for sediment accumulation and catchment-erosion reconstruction during the past ~70 years (1950–2023)
DOI: 10.17632/jd5rf69ktj.1
title: Ba Be Lake (Northern Vietnam) sediment core dataset: sedimentological, geochemical, and radionuclide data for sediment accumulation and catchment-erosion reconstruction during the past ~70 years (1950–2023)
DOI: 10.17632/g772sw7tpc
title: From Zero-Initialization to Physics-Based Determination: A Paradigm for Modeling Rock Damage under Cyclic Hardening

description: This study addresses a fundamental flaw in how damage mechanics is applied to rocks: the incorrect assumption that rock starts with zero damage, ignoring its natural porosity. This leads to inaccurate models, especially when simulating repeated stress cycles. We used CT scanning to observe how microscopic pores and cracks in rock evolve under cyclic loading. Results show that under low stress, pores close, causing hardening, while under high stress, cracks grow, causing softening. We found that when porosity minimizes under repeated low stress, hardening stops, indicating a nearly damage-free state. Based on this, we propose a practical method: pre-conditioning rock samples with high-cycle loading at 50% of their strength to establish this damage-free baseline. This allows for accurate calculation of the initial damage, providing a more realistic and widely applicable framework for predicting rock behavior in engineering. This dataset includes the experimental data and CT slices related to the above research content.
DOI: 10.17632/g772sw7tpc.1
title: From Zero-Initialization to Physics-Based Determination: A Paradigm for Modeling Rock Damage under Cyclic Hardening

description: This study addresses a fundamental flaw in how damage mechanics is applied to rocks: the incorrect assumption that rock starts with zero damage, ignoring its natural porosity. This leads to inaccurate models, especially when simulating repeated stress cycles. We used CT scanning to observe how microscopic pores and cracks in rock evolve under cyclic loading. Results show that under low stress, pores close, causing hardening, while under high stress, cracks grow, causing softening. We found that when porosity minimizes under repeated low stress, hardening stops, indicating a nearly damage-free state. Based on this, we propose a practical method: pre-conditioning rock samples with high-cycle loading at 50% of their strength to establish this damage-free baseline. This allows for accurate calculation of the initial damage, providing a more realistic and widely applicable framework for predicting rock behavior in engineering. This dataset includes the experimental data and CT slices related to the above research content.
DOI: 10.17632/dc3z5bd542
title: Forming Habits in Pattern Thinking

description: The identity inherent in concepts or representations within pattern thinking is inadequate to clarify recurrence; a more robust "positive" basis is required. This inquiry must include all conceptions of freedom and nature.
DOI: 10.17632/dc3z5bd542.1
title: Forming Habits in Pattern Thinking

description: The identity inherent in concepts or representations within pattern thinking is inadequate to clarify recurrence; a more robust "positive" basis is required. This inquiry must include all conceptions of freedom and nature.
DOI: 10.17632/9ctpg2p6bj
title: The Cross Notched Roller Test (X-NRT): Effective Volumes and Effective Surfaces for Weibull Strength Scaling

description: In order to compare strength testing results of ceramic specimens obtained through different testing methods, the knowledge of the effective surface or effective volume is essential. 

In this repository, data to determine the maximum tensile stress, the effective surface and effective volume for the "Cross Notched Roller Test", described in [https://doi.org/10.1016/j.jeurceramsoc.2025.117931], is given. The relevant geometrical and material parameters to determine the effective surface or effective volume are:

-Roller diameter D
-Roller length H
-Notch length l
-Notch width w
-Notch root radius rn
-Poisson's ratio v
-Weibull modulus m

The data is available within:

1 &lt;= H/D &lt;= 5
0.7 &lt;= l/D &lt;= 0.9
0.02 &lt;= w/D &lt;= 0.37
0 &lt;= rn/w &lt;= 0.5
0.1 &lt;= v &lt;= 0.4
1 &lt;= m &lt;=50

Based on the data, the maximum tensile stress can be determined from an interpolation of "finter" and the relevant geometrical properties (see equation 8 in the paper cited above). The normalized effective surface or effective volume can be determined through interpolation of the data of in the same way. 
The normalization volume Vnorm and normalization surface Snorm are given through the volume (= Pi*H*(D/2)^2) and cylindrical surface (= Pi*H*D) of the roller, respectively.
To aid evaluation, interpolation files in Python, Excel and Mathematica are also provided in this repository. 

Additional information:

-Data-files (.csv,.tsv,.xlsx)
 
The structure of the data in each row is as follows:
 
 H/D || l/D || w/D || rn/w || v || m || finter || Veff/Vnorm || Seff/Snorm

All files provided follow this convention, and the permutation follows m -&gt; v -&gt; rn/w -&gt; w/D -&gt; l/D -&gt; H/D


-Interpolation files (.xlsx,.py,.nb)
 
The Interpolation implemented in the Excel-file is linear, while the others are cubic. The difference is quantified in the main manuscript. The results from Python- and Mathematica-files vary slightly.
 
 Excel-file:

Entering the specimen geometry and material parameters will automatically adjust the values for the maximum tensile stress and all effective quantities. 
 
 Python-file:

The .csv-files have to be in the same directory as the script. Running the script opens prompts in the command line
to enter the specimen geometry and material parameters. Afterwards, results for the maximum tensile stress and all effective quantities are given.

 Mathematica-file:

The .csv-files have to be in the same directory as the script. The rows marked in red represent the input-lines
for the specimen geometry and material parameters. Results for the maximum tensile stress and all effective quantities are given in lines highlighted in green.
DOI: 10.17632/9ctpg2p6bj.1
title: The Cross Notched Roller Test (X-NRT): Effective Volumes and Effective Surfaces for Weibull Strength Scaling

description: In order to compare strength testing results of ceramic specimens obtained through different testing methods, the knowledge of the effective surface or effective volume is essential. 

In this repository, data to determine the maximum tensile stress, the effective surface and effective volume for the "Cross Notched Roller Test", described in [https://doi.org/10.1016/j.jeurceramsoc.2025.117931], is given. The relevant geometrical and material parameters to determine the effective surface or effective volume are:

-Roller diameter D
-Roller length H
-Notch length l
-Notch width w
-Notch root radius rn
-Poisson's ratio v
-Weibull modulus m

The data is available within:

1 &lt;= H/D &lt;= 5
0.7 &lt;= l/D &lt;= 0.9
0.02 &lt;= w/D &lt;= 0.37
0 &lt;= rn/w &lt;= 0.5
0.1 &lt;= v &lt;= 0.4
1 &lt;= m &lt;=50

Based on the data, the maximum tensile stress can be determined from an interpolation of "finter" and the relevant geometrical properties (see equation 8 in the paper cited above). The normalized effective surface or effective volume can be determined through interpolation of the data of in the same way. 
The normalization volume Vnorm and normalization surface Snorm are given through the volume (= Pi*H*(D/2)^2) and cylindrical surface (= Pi*H*D) of the roller, respectively.
To aid evaluation, interpolation files in Python, Excel and Mathematica are also provided in this repository. 

Additional information:

-Data-files (.csv,.tsv,.xlsx)
 
The structure of the data in each row is as follows:
 
 H/D || l/D || w/D || rn/w || v || m || finter || Veff/Vnorm || Seff/Snorm

All files provided follow this convention, and the permutation follows m -&gt; v -&gt; rn/w -&gt; w/D -&gt; l/D -&gt; H/D


-Interpolation files (.xlsx,.py,.nb)
 
The Interpolation implemented in the Excel-file is linear, while the others are cubic. The difference is quantified in the main manuscript. The results from Python- and Mathematica-files vary slightly.
 
 Excel-file:

Entering the specimen geometry and material parameters will automatically adjust the values for the maximum tensile stress and all effective quantities. 
 
 Python-file:

The .csv-files have to be in the same directory as the script. Running the script opens prompts in the command line
to enter the specimen geometry and material parameters. Afterwards, results for the maximum tensile stress and all effective quantities are given.

 Mathematica-file:

The .csv-files have to be in the same directory as the script. The rows marked in red represent the input-lines
for the specimen geometry and material parameters. Results for the maximum tensile stress and all effective quantities are given in lines highlighted in green.
DOI: 10.17632/rbnkvr5vgm
title: Dataset – Responsible Governance for Data-Intensive Innovation in Smart Tourism: A Bibliometric–Systematic Literature Review.

description: (CSV and Biblioshiny Report) Dataset – Responsible Governance for Data-Intensive Innovation in Smart Tourism: A Bibliometric–Systematic Literature Review.
DOI: 10.17632/rbnkvr5vgm.1
title: Dataset – Responsible Governance for Data-Intensive Innovation in Smart Tourism: A Bibliometric–Systematic Literature Review.

description: (CSV and Biblioshiny Report) Dataset – Responsible Governance for Data-Intensive Innovation in Smart Tourism: A Bibliometric–Systematic Literature Review.
DOI: 10.17632/w63p3pk87c
title: Carbonate dissolution in the sediment of seaweed farms

description: The data sheet shows measured parameters in sediments, including porosities, activities of ²²⁴Ra and ²²⁸Th, total CaCO3 of sediment particles and dissolved inorganic carbon, total alkalinity and isotopic content (²²⁴Ra and δ13C) in porewater.
DOI: 10.15468/dl.9wuzrk
title: Occurrence Download

description: A dataset containing 414723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Athene cunicularia"
 ]
}

 The dataset includes 414723 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006711-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w63p3pk87c.1
title: Carbonate dissolution in the sediment of seaweed farms

description: The data sheet shows measured parameters in sediments, including porosities, activities of ²²⁴Ra and ²²⁸Th, total CaCO3 of sediment particles and dissolved inorganic carbon, total alkalinity and isotopic content (²²⁴Ra and δ13C) in porewater.
DOI: 10.17632/dtsdvypy67
title: Soil and Topography Over Climate: Modeling the Habitat Suitability of Aleppo Pine in Northwestern Algeria Using MaxEnt

description: these scrpit and data are about the modeling the habitat suitability of aleppo pine in region of sidi bel abess in the northwestern of Algeria.
the script R use the maxent model, which use a sample distrubtion of aleppo pine in csv
and 12 raster data (asc format) represenint edaphic, climatic and geomorphologic data.