cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15721131
title: RMDirectionalBerlin

description: A dataset of simulated path loss radio maps for training CNN. The code for our experiments can be found on https://github.com/fabja19/RML_v2_img . The dataset and experiments are described in our paper "Radio Map Prediction from Aerial Images and Application to Coverage Optimization". Please consider citing it, if you find the dataset useful:

F. Jaensch, G. Caire and B. Demir, "Radio Map Prediction From Aerial Images and Application to Coverage Optimization," in IEEE Transactions on Wireless Communications, vol. 25, pp. 308-320, 2026, doi: 10.1109/TWC.2025.3583171. 

 

@ARTICLE{11063460,  author={Jaensch, Fabian and Caire, Giuseppe and Demir, Begüm},  journal={IEEE Transactions on Wireless Communications},   title={Radio Map Prediction From Aerial Images and Application to Coverage Optimization},   year={2026},  volume={25},  number={},  pages={308-320},  keywords={Buildings;Three-dimensional displays;Ray tracing;Solid modeling;Wireless communication;Predictive models;Optimization;Urban areas;Adaptation models;Accuracy;Convolutional neural networks;machine learning;path loss;radio map;RSSI;coverage},  doi={10.1109/TWC.2025.3583171}}

 

RMBerlinDirectional.zip:This file contains the dataset used in our experiments, including the radio maps, corresponding city maps, Tx information and aerial images. The dataset class in the code shows how they can be used. Structure:



path_gain - contains the target radio maps as .png images

gis - nDSMs of buildings and vegetation for each map as gray-scale .png images

tx_antennas - .npy files containing Tx locations and characteristics for all samples

img - RGBIR aerial images in .tif format

antenna_patterns  - .npy files containing antenna patterns

los - line-of-sight information for each sample in .npy file

.json files containing lists of the sample ids and corresponding Tx locations and characteristics for the dataset class


model_checkpoints.zip:Contains checkpoints and configs for some trained models.

additional_gis_files.zip:Contains data that was used to prepare the simulations but that is not needed for running the code.



nDSM_orig - original nDSM files for buildings and vegetation created from LiDAR data, in .tif format

polygons - polygons with height values generated from the original nDSM files and simplified, used in the ray-tracing simulations, in .GeoJSON format
DOI: 10.5281/zenodo.10210088
title: RMDirectionalBerlin

description: A dataset of simulated path loss radio maps for training CNN. The code for our experiments can be found on https://github.com/fabja19/RML_v2_img . The dataset and experiments are described in our paper "Radio Map Prediction from Aerial Images and Application to Coverage Optimization". Please consider citing it, if you find the dataset useful:

F. Jaensch, G. Caire and B. Demir, "Radio Map Prediction From Aerial Images and Application to Coverage Optimization," in IEEE Transactions on Wireless Communications, vol. 25, pp. 308-320, 2026, doi: 10.1109/TWC.2025.3583171. 

 

@ARTICLE{11063460,  author={Jaensch, Fabian and Caire, Giuseppe and Demir, Begüm},  journal={IEEE Transactions on Wireless Communications},   title={Radio Map Prediction From Aerial Images and Application to Coverage Optimization},   year={2026},  volume={25},  number={},  pages={308-320},  keywords={Buildings;Three-dimensional displays;Ray tracing;Solid modeling;Wireless communication;Predictive models;Optimization;Urban areas;Adaptation models;Accuracy;Convolutional neural networks;machine learning;path loss;radio map;RSSI;coverage},  doi={10.1109/TWC.2025.3583171}}

 

RMBerlinDirectional.zip:This file contains the dataset used in our experiments, including the radio maps, corresponding city maps, Tx information and aerial images. The dataset class in the code shows how they can be used. Structure:



path_gain - contains the target radio maps as .png images

gis - nDSMs of buildings and vegetation for each map as gray-scale .png images

tx_antennas - .npy files containing Tx locations and characteristics for all samples

img - RGBIR aerial images in .tif format

antenna_patterns  - .npy files containing antenna patterns

los - line-of-sight information for each sample in .npy file

.json files containing lists of the sample ids and corresponding Tx locations and characteristics for the dataset class


model_checkpoints.zip:Contains checkpoints and configs for some trained models.

additional_gis_files.zip:Contains data that was used to prepare the simulations but that is not needed for running the code.



nDSM_orig - original nDSM files for buildings and vegetation created from LiDAR data, in .tif format

polygons - polygons with height values generated from the original nDSM files and simplified, used in the ray-tracing simulations, in .GeoJSON format
DOI: 10.5281/zenodo.18374896
title: OLIY TA'LIMDA GURUH ISHLARI VA MUHOKAMA MASHG'ULOTLARI ORQALI KOMMUNIKATIV KOMPETENSIYALARNI SHAKLLANTIRISH

description: Ushbu ilmiy ishda oliy ta’limda talabalar kommunikativ kompetensiyalarini rivojlantirishda guruh ishlari va muhokama mashg‘ulotlarining pedagogik imkoniyatlari tahlil qilinadi. Tadqiqot davomida guruh ishlari va interaktiv mashg‘ulotlar talabalar muloqot ko‘nikmalarini shakllantirish, tanqidiy fikrlash, jamoaviy qaror qabul qilish va ijtimoiy ko‘nikmalarni rivojlantirishdagi samaradorligi ko‘rsatildi. Shuningdek, axborot-kommunikatsiya texnologiyalari yordamida muhokama mashg‘ulotlarini samarali tashkil etish usullari ham tahlil qilindi. Natijalar shuni ko‘rsatadiki, guruh ishlari va muhokama mashg‘ulotlari oliy ta’lim jarayonida talabalar kommunikativ, ijtimoiy va professional kompetensiyalarini shakllantirishda muhim vositadir.
DOI: 10.5281/zenodo.18374895
title: OLIY TA'LIMDA GURUH ISHLARI VA MUHOKAMA MASHG'ULOTLARI ORQALI KOMMUNIKATIV KOMPETENSIYALARNI SHAKLLANTIRISH

description: Ushbu ilmiy ishda oliy ta’limda talabalar kommunikativ kompetensiyalarini rivojlantirishda guruh ishlari va muhokama mashg‘ulotlarining pedagogik imkoniyatlari tahlil qilinadi. Tadqiqot davomida guruh ishlari va interaktiv mashg‘ulotlar talabalar muloqot ko‘nikmalarini shakllantirish, tanqidiy fikrlash, jamoaviy qaror qabul qilish va ijtimoiy ko‘nikmalarni rivojlantirishdagi samaradorligi ko‘rsatildi. Shuningdek, axborot-kommunikatsiya texnologiyalari yordamida muhokama mashg‘ulotlarini samarali tashkil etish usullari ham tahlil qilindi. Natijalar shuni ko‘rsatadiki, guruh ishlari va muhokama mashg‘ulotlari oliy ta’lim jarayonida talabalar kommunikativ, ijtimoiy va professional kompetensiyalarini shakllantirishda muhim vositadir.
DOI: 10.6084/m9.figshare.25225350
title: Do You Speak Disinformation? Computational Detection of Deceptive News-Like Content Using Linguistic and Stylistic Features

description: Amid growing concerns about the proliferation and belief in false or misleading information, the study addresses the need for automated detection in the public domain. It revisits and replicates scattered findings using a comprehensive, content-oriented, and feature-based approach. This method reliably identifies deceptive news-like content and highlights the importance of individual features in guiding the prediction algorithm. Employing explainable machine learning, the study explores content patterns for disinformation detection. Results from a tree-based approach on real-world data indicate that content-related characteristics can—when used in combination—facilitate the early detection of deceptive news-like articles. The study concludes by discussing the practical implications of computationally detecting the malicious language of disinformation.
DOI: 10.6084/m9.figshare.25225350.v3
title: Do You Speak Disinformation? Computational Detection of Deceptive News-Like Content Using Linguistic and Stylistic Features

description: Amid growing concerns about the proliferation and belief in false or misleading information, the study addresses the need for automated detection in the public domain. It revisits and replicates scattered findings using a comprehensive, content-oriented, and feature-based approach. This method reliably identifies deceptive news-like content and highlights the importance of individual features in guiding the prediction algorithm. Employing explainable machine learning, the study explores content patterns for disinformation detection. Results from a tree-based approach on real-world data indicate that content-related characteristics can—when used in combination—facilitate the early detection of deceptive news-like articles. The study concludes by discussing the practical implications of computationally detecting the malicious language of disinformation.
DOI: 10.6084/m9.figshare.28247879
title: From Industry Hype to Emerging Criticism: Analysing Chilean News Media Coverage of Artificial Intelligence

description: AI has become (again) a matter of public interest, and it is crucial to investigate how the news media intervenes in the hype and publicity around AI in different countries. At the intersection between Media Studies and Science and Technology Studies (STS), this article examines portrayals of AI and related technologies in the Chilean news media. We curated a corpus of nearly 7000 AI-related news articles from 2008 to 2023 from four Chilean newspapers. We combined an LDA topic modelling with an analysis with dictionaries of the key actors and critical issues discussed around AI. The analysis shows the explosive growth of the media coverage of AI in recent years, as well as the diversity of topics associated with AI in Chile. We found a high prominence of topics related to industry and technology, a high visibility of international actors, mostly U.S. tech companies, and a low level of mentions of critical issues around AI. Moreover, we also discuss the low coverage of the State’s AI use, the emergent use of generative AI in tech journalism, and the prominence of topics such as the arts and humanities that appear as emerging spaces for the problematisation of AI in Chile.
DOI: 10.6084/m9.figshare.28247879.v1
title: From Industry Hype to Emerging Criticism: Analysing Chilean News Media Coverage of Artificial Intelligence

description: AI has become (again) a matter of public interest, and it is crucial to investigate how the news media intervenes in the hype and publicity around AI in different countries. At the intersection between Media Studies and Science and Technology Studies (STS), this article examines portrayals of AI and related technologies in the Chilean news media. We curated a corpus of nearly 7000 AI-related news articles from 2008 to 2023 from four Chilean newspapers. We combined an LDA topic modelling with an analysis with dictionaries of the key actors and critical issues discussed around AI. The analysis shows the explosive growth of the media coverage of AI in recent years, as well as the diversity of topics associated with AI in Chile. We found a high prominence of topics related to industry and technology, a high visibility of international actors, mostly U.S. tech companies, and a low level of mentions of critical issues around AI. Moreover, we also discuss the low coverage of the State’s AI use, the emergent use of generative AI in tech journalism, and the prominence of topics such as the arts and humanities that appear as emerging spaces for the problematisation of AI in Chile.
DOI: 10.6084/m9.figshare.28293469.v1
title: The News Feed is Not a Black Box: A Longitudinal Study of Facebook’s Algorithmic Treatment of News

description: This study examines the effects of a series of significant algorithm changes within Facebook’s News Feed on user engagement with news content on the platform between 2011-2020. By tracking public announcements, industry research, and leaks to the press, we constructed a timeline of algorithm changes and collected data on 1 million news articles from The Guardian over the 10-year period, alongside their associated Facebook engagement metrics (likes, comments, shares, etc.) using the CrowdTangle API. Using time series analysis techniques including cross-correlation, Granger causality, and anomaly detection, we modeled this data to test for the relationship between significant algorithmic ranking updates to Facebook’s News Feed algorithms and user engagement with Guardian articles on the platform. Our results show that strategic interventions to the News Feed algorithm significantly impacted engagement with hard news items, whereas opinion, lifestyle, sports, and arts content were less affected. This study challenges the notion of algorithms as ‘black boxes’ by demonstrating how Facebook’s deliberate adjustments influence user engagement with news content. We conclude by outlining the limitations and challenges for systemic auditing of social media algorithms, advocating for greater data access, and discussing the opportunities afforded by the EU’s Digital Services Act to advance this research agenda.
DOI: 10.6084/m9.figshare.28293469
title: The News Feed is Not a Black Box: A Longitudinal Study of Facebook’s Algorithmic Treatment of News

description: This study examines the effects of a series of significant algorithm changes within Facebook’s News Feed on user engagement with news content on the platform between 2011-2020. By tracking public announcements, industry research, and leaks to the press, we constructed a timeline of algorithm changes and collected data on 1 million news articles from The Guardian over the 10-year period, alongside their associated Facebook engagement metrics (likes, comments, shares, etc.) using the CrowdTangle API. Using time series analysis techniques including cross-correlation, Granger causality, and anomaly detection, we modeled this data to test for the relationship between significant algorithmic ranking updates to Facebook’s News Feed algorithms and user engagement with Guardian articles on the platform. Our results show that strategic interventions to the News Feed algorithm significantly impacted engagement with hard news items, whereas opinion, lifestyle, sports, and arts content were less affected. This study challenges the notion of algorithms as ‘black boxes’ by demonstrating how Facebook’s deliberate adjustments influence user engagement with news content. We conclude by outlining the limitations and challenges for systemic auditing of social media algorithms, advocating for greater data access, and discussing the opportunities afforded by the EU’s Digital Services Act to advance this research agenda.
DOI: 10.6084/m9.figshare.31144834
title: Elastic thickness and curvature data for the submitted manuscript entitled<b> </b><b>"</b><b>Gravity and seismic constraints on plate flexure and mantle rheology along the whole Louisville Ridge</b><b>"</b><b> </b>in <i>EPSL</i>

description: Elastic thickness and curvature data for the submitted manuscript entitled<b> </b><b>"</b><b>Gravity and seismic constraints on plate flexure and mantle rheology along the whole Louisville Ridge</b><b>"</b><b> </b>in <i>EPSL</i>
DOI: 10.6084/m9.figshare.31144834.v1
title: Elastic thickness and curvature data for the submitted manuscript entitled<b> </b><b>"</b><b>Gravity and seismic constraints on plate flexure and mantle rheology along the whole Louisville Ridge</b><b>"</b><b> </b>in <i>EPSL</i>

description: Elastic thickness and curvature data for the submitted manuscript entitled<b> </b><b>"</b><b>Gravity and seismic constraints on plate flexure and mantle rheology along the whole Louisville Ridge</b><b>"</b><b> </b>in <i>EPSL</i>
DOI: 10.5281/zenodo.18372926
title: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology

description: This a dataset for paper: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology
DOI: 10.5281/zenodo.18374783
title: AntiSPencoder

description:  T lymphocytes play critical roles in adaptive immunity via specifically recognizing diverse antigens and eliminate infected cells through highly diverse T cell receptors (TCRs). Here, we  developed AntiSPencoder, which models CDR3 or antigen peptide amino acid sequences as low-dimensional features. The codes of AntiSPencoder and corresponding data were provided here in this study.
DOI: 10.5281/zenodo.18374912
title: POSTMODERNIZM NAZARIYASI VA ADABIYOTDAGI IFODASI

description: Ayni maqolada postmodernism haqida yozuvchilar fikri, postmodernizmning nasr va nazmga ta’siri, Richard Baxning “Oqcharloq Jonatan Livingston“ asarining postmodernizm yo`nalishlari asosidagi tahlili bilan tanishamiz.
DOI: 10.5281/zenodo.18374913
title: POSTMODERNIZM NAZARIYASI VA ADABIYOTDAGI IFODASI

description: Ayni maqolada postmodernism haqida yozuvchilar fikri, postmodernizmning nasr va nazmga ta’siri, Richard Baxning “Oqcharloq Jonatan Livingston“ asarining postmodernizm yo`nalishlari asosidagi tahlili bilan tanishamiz.
DOI: 10.5281/zenodo.18374818
title: Human capital and Cohesion Policy

description: This file contains the dataset used in a research with the goal to make a comparative analysis of European Union member states concerning cohesion policy
DOI: 10.5281/zenodo.18374819
title: Human capital and Cohesion Policy

description: This file contains the dataset used in a research with the goal to make a comparative analysis of European Union member states concerning cohesion policy
DOI: 10.17617/3.cddklb
title: Nudibranch color diversity shares a common physical basis in guanine photonic structure ‘pixels’

description: Nudibranchs are well known for their bright and diverse color patterns. This coloration is typically a form of aposematism, warning predators against toxic compounds sequestered from their prey and weaponized as a form of defense. Although many of the hues in nudibranchs were thought to be of pigmentary origin, here we show, using a combination of white light and Raman micro-spectroscopy, that hierarchically organized micron-scale guanine multilayer structures are responsible for many of these colors. Such architectures are widespread across the dorid and aeolid groups and are responsible for a striking array of angular-independent structural colors. By using cryo-FIB tomography, we were able to access the complex 3D organization of the guanine nano-platelets responsible for the strong blue coloration of Chromodoris annae. We propose that the multilayer organization of guanine platelets with varying orientations across the tissue and their micron-scale size offers a particularly effective strategy for producing diverse optical effects. The macroscopic angular independent color results from individual multilayers which we describe as ‘pixels’, these ‘pixels’ reflect light at a wavelength governed by their interlayer spacing and guanine platelet thickness. The macroscopic hue can be spectrally tuned by altering the statistical distribution of pixels with each color, while the angular dependence of color can be changed through the relative orientation of the multilayer stacks and their size, allowing for a single structural motif to generate a broad palette of optical appearances.
DOI: 10.5281/zenodo.18374956
title: PEDAGOGIK TA'LIM JARAYONIDA IJTIMOIY-SIYOSIY BILIMLAR METODIKASINING EVOLYUTSIYASI VA SHAXS DUNYOQARASHIGA TA'SIRI

description: Mazkur maqolada pedagogik ta’lim jarayonida ijtimoiy-siyosiy bilimlarni o‘rgatish metodikasining tarixiy va nazariy evolyutsiyasi hamda uning shaxs dunyoqarashini shakllantirishdagi o‘rni tahlil qilinadi. Tadqiqotda ijtimoiy-siyosiy ta’limning axborotga yo‘naltirilgan an’anaviy yondashuvlardan shaxsga yo‘naltirilgan, interaktiv va refleksiv metodlarga o‘tish jarayoni yoritilgan. Xalqaro va milliy pedagogik tadqiqotlar asosida ijtimoiy-siyosiy bilimlarning o‘quvchilarda fuqarolik ongini, demokratik qadriyatlarni va tanqidiy fikrlashni rivojlantirishdagi ahamiyati asoslab berilgan.
DOI: 10.5281/zenodo.18374955
title: PEDAGOGIK TA'LIM JARAYONIDA IJTIMOIY-SIYOSIY BILIMLAR METODIKASINING EVOLYUTSIYASI VA SHAXS DUNYOQARASHIGA TA'SIRI

description: Mazkur maqolada pedagogik ta’lim jarayonida ijtimoiy-siyosiy bilimlarni o‘rgatish metodikasining tarixiy va nazariy evolyutsiyasi hamda uning shaxs dunyoqarashini shakllantirishdagi o‘rni tahlil qilinadi. Tadqiqotda ijtimoiy-siyosiy ta’limning axborotga yo‘naltirilgan an’anaviy yondashuvlardan shaxsga yo‘naltirilgan, interaktiv va refleksiv metodlarga o‘tish jarayoni yoritilgan. Xalqaro va milliy pedagogik tadqiqotlar asosida ijtimoiy-siyosiy bilimlarning o‘quvchilarda fuqarolik ongini, demokratik qadriyatlarni va tanqidiy fikrlashni rivojlantirishdagi ahamiyati asoslab berilgan.
DOI: 10.5281/zenodo.18348350
title: AIIA_flood Dataset

description: The dataset for the flood binary segmentation task comprises 720 images consolidated from two sources: D.MALIAN_1 and BRK_1 trials. It is structured into distinct directories for each source (dmalian_1 and brk_1), each containing standard train and val splits with separate folders for images (.jpg) and labels (.png). The annotation masks are binary, where pixels are labeled as 0 for background and 1 for floodwater. The total split consists of 428 training images (198 from D.MALIAN_1 and 230 from BRK_1) and 292 validation images (140 from D.MALIAN_1 and 152 from BRK_1), resulting in an approximate 60% - 40% training-validation distribution.

Mora information about the dataset can be found here.
DOI: 10.5281/zenodo.18374889
title: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology

description: This is dataset of publication: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology
DOI: 10.5281/zenodo.18374890
title: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology

description: This is dataset of publication: Probabilistically Generalized Einstein Equation for Ceramics Suspension Rheology
DOI: 10.5281/zenodo.18374980
title: IJTIMOIY ANTROPOLOGIYADA YUZAGA KELAYOTGAN ZAMONAVIY MUAMMOLAR TAHLILI

description: Ushbu maqola ijtimoiy antropologiyada zamonaviy muammolarni tahlil qilishga bag‘ishlangan. Zamonaviy jamiyat sharoitida globalizatsiya, urbanizatsiya, texnologik taraqqiyot, migratsiya va ijtimoiy tengsizlik kabi jarayonlar antropologiyaning tadqiqot maydonini kengaytirdi. Maqolada ijtimoiy antropologiyaning dolzarb muammolari, ularni o‘rganish metodlari va ilmiy-amaliy ahamiyati tahlil qilinadi. Tadqiqot natijalari shuni ko‘rsatadiki, zamonaviy antropologiya nafaqat klassik nazariy yondashuvlarni davom ettiradi, balki global va lokal ijtimoiy jarayonlarni chuqur o‘rganishda muhim fan sifatida ahamiyat kasb etadi.
DOI: 10.5281/zenodo.18374981
title: IJTIMOIY ANTROPOLOGIYADA YUZAGA KELAYOTGAN ZAMONAVIY MUAMMOLAR TAHLILI

description: Ushbu maqola ijtimoiy antropologiyada zamonaviy muammolarni tahlil qilishga bag‘ishlangan. Zamonaviy jamiyat sharoitida globalizatsiya, urbanizatsiya, texnologik taraqqiyot, migratsiya va ijtimoiy tengsizlik kabi jarayonlar antropologiyaning tadqiqot maydonini kengaytirdi. Maqolada ijtimoiy antropologiyaning dolzarb muammolari, ularni o‘rganish metodlari va ilmiy-amaliy ahamiyati tahlil qilinadi. Tadqiqot natijalari shuni ko‘rsatadiki, zamonaviy antropologiya nafaqat klassik nazariy yondashuvlarni davom ettiradi, balki global va lokal ijtimoiy jarayonlarni chuqur o‘rganishda muhim fan sifatida ahamiyat kasb etadi.
DOI: 10.5281/zenodo.18374765
title: Gamified Post-Use Packaging Study: User Experience Survey on Hand Cream Design

description: This dataset contains anonymized responses from an online survey (N=379) examining how gamified, transformable packaging influences consumer behavior toward hand cream usage. The study was conducted in 2026 by City University of Macau. Data includes manipulation checks, perceived playfulness, intrinsic motivation, and behavioral intentions. All personal identifiers have been removed.