cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7267433
title: The Copenhagen Networks Study interaction data

description: The data represents the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks. The dataset was collected via smartphones as part of the Copenhagen Networks Study.<br>We include the network of physical proximity among the participants (estimated via Bluetooth signal strength), the network of phone calls (start time, duration, no content), the network of text messages (time of message, no content), and information about Facebook friendships. Thus, we provide multiple types of communication networks expressed in a single, large population with high temporal resolution, and over a period of multiple weeks, a fact which makes the dataset shared here unique. We expect that reuse of this dataset will allow researchers to make progress on the analysis and modeling of human social networks. <br>
DOI: 10.60895/redata/ds0l5o
title: Dataset: Depression diagnosis using Artificial Intelligence: A systematic review

description: Dataset: Depression diagnosis using Artificial Intelligence: A systematic review
DOI: 10.1285/i20356609v10i2p517
title: The Populist Re-Politicization. Some Lessons from South America and Southern Europe

description: This article proposes an alternative categorization of the populist phenomena, by elaborating the distinction between electoral-delegative and participative-mobilising populisms. All the populist phe-nomena share some common traits, such as a polarising and antagonist discourse dividing the society into a "People" and some "elites" or privileged sectors, their reliance on a strong leadership, a pretension to be majoritarian and to achieve the power at the national level in order to restore the sovereignty of the People. Nonetheless, the strategies for achieving these goals vary according to the specific diagnoses that would correct the perceived deficiencies of the representative democracies in terms of accountabil-ity of the representatives. The populisms closer to the electoral-delegative pole stress the symbolic di-mension of the concept of representation, thus relying on a strong leader able to "truly interpret" the general will of the People. Those closer to the participative-mobilising pole call for an active involvement of the People in the decision-making process in order to effectively control the public institutions, stress-ing the descriptive dimension of the concept of representation and sometimes questioning the theoreti-cal bases sustaining the representative democracy. I provide a brief discussion on four participative-mo-bilising populist experiences, i.e. the MAS-IPSP, the Kirchnerism, the M5S and Podemos, focusing on their internal organizations and relying on an extensive fieldwork (consisting in one hundred in-depth inter-views with country experts and party's representatives at regional and national levels) that I conducted for a broader research project.
DOI: 10.17188/1191211
title: Materials Data on Mo2C by Materials Project

description: Mo2C is beta Vanadium nitride-like structured and crystallizes in the orthorhombic Pbcn space group. The structure is three-dimensional. Mo2+ is bonded in a distorted T-shaped geometry to three equivalent C4- atoms. There are a spread of Mo–C bond distances ranging from 2.11–2.14 Å. C4- is bonded to six equivalent Mo2+ atoms to form a mixture of corner and edge-sharing CMo6 octahedra. The corner-sharing octahedra tilt angles range from 49–50°.
DOI: 10.17632/n3gtgm9jxj.2
title: Waste Classification Dataset

description: The dataset provides a collection of 24,705 images of solid household waste, categorised into two classes: organic (13,880) and recyclable (10,825) . The data is a restructured and represented version of the original dataset by Sashaank Sekar available at https://www.kaggle.com/techsash/waste-classification-data. The original dataset from Kaggle consists of 25,077 images of organic (13,966) and recyclable (11,111) images. However, performed som clean-up operations explained in the "further note" to reduce the data to 24,705 with (13,880 organic) and (10,825 recyclable) The restructured data has been used in a research study undertaken by academics and researchers at Computer Science Department, Edge Hill University, United Kingdom.

To encourage reproducibility of the experiments and results reported, the modified data; a Jupyter notebook (.ipynb) file useful to apply data augmentation on the dataset; and a Jupyter notebook (.ipynb) file useful to replicate the experiments has been provided.
DOI: 10.5281/zenodo.12092871
title: scGraph2Vec: a deep generative model for gene embedding augmented by Graph Neural Network and single-cell omics data

description: This repository contains the training data and source code to reproduce the results of our paper:scGraph2Vec: a deep generative model for gene embedding augmented by Graph Neural Network and single-cell omics data

More description can be also found in GitHub (https://github.com/LPH-BIG/scGraph2Vec).
DOI: 10.5281/zenodo.14539742
title: INTEGRATIVE APPROACH TO THE TREATMENT OF MICROBIOLOGICAL DISORDERS OF THE ORAL MUCOSA IN CANCER PATIENTS (REVIEW ARTICLE)
DOI: 10.5281/zenodo.14539743
title: INTEGRATIVE APPROACH TO THE TREATMENT OF MICROBIOLOGICAL DISORDERS OF THE ORAL MUCOSA IN CANCER PATIENTS (REVIEW ARTICLE)
DOI: 10.15468/dl.gc448f
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saiga tatarica (Linnaeus, 1766)"
 ]
}

 The dataset includes 594 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045139-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8u2t5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saiga tatarica mongolica Bannikov, 1946"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045140-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxa5vh
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 590 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045141-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14539732
title: Aeon Gods, King of Gods - Audio Analysis Dataset (Metal Music)

description: Artist: Aeon GodsAlbum: King of GodsGenre: Symphonic Power MetalNumber of Tracks: 10

This dataset provides a comprehensive audio analysis of the album King of Gods by Aeon Gods, a Symphonic Power Metal project celebrated for its epic and orchestral soundscapes. The dataset includes analytical data for all 10 tracks on the album, focusing on a variety of spectral, harmonic, and rhythmic features. Each track is accompanied by:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were performed using open-source software, primarily Librosa and Python, ensuring high transparency and reproducibility.

Purpose of the Dataset:

This dataset is intended for researchers, musicians, and fans interested in exploring the sonic intricacies of Symphonic Power Metal. It serves as a valuable resource for comparative studies, genre analysis, and deeper understanding of the majestic soundscapes of King of Gods.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14539733
title: Aeon Gods, King of Gods - Audio Analysis Dataset (Metal Music)

description: Artist: Aeon GodsAlbum: King of GodsGenre: Symphonic Power MetalNumber of Tracks: 10

This dataset provides a comprehensive audio analysis of the album King of Gods by Aeon Gods, a Symphonic Power Metal project celebrated for its epic and orchestral soundscapes. The dataset includes analytical data for all 10 tracks on the album, focusing on a variety of spectral, harmonic, and rhythmic features. Each track is accompanied by:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were performed using open-source software, primarily Librosa and Python, ensuring high transparency and reproducibility.

Purpose of the Dataset:

This dataset is intended for researchers, musicians, and fans interested in exploring the sonic intricacies of Symphonic Power Metal. It serves as a valuable resource for comparative studies, genre analysis, and deeper understanding of the majestic soundscapes of King of Gods.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.21227/a00b-hz46
title: SFF

description: Real-time object detection in remote sensing (RS) images presents significant challenges due to the small pixel size of objects, inconsistent contrast, and highly cluttered backgrounds. Recent methods relied mainly on convolutional neural networks (CNN) or multihead self-attention (MHSA), but often struggled to balance detection speed and performance. FNet introduced an innovative mechanism that replaces multi-head self-attention with Fast Fourier Transform (FFT) to accelerate Transformer structures. Based on this, we propose Selective Fourier Fusion (SFF) for remote sensing object detection. SFF can serve as an alternative to MHSA in object detection models. Experiments conducted on models like YOLOv10 and RT-DETR with public datasets VisDrone DET-2019 demonstrate that SFF significantly improves inference speed while enhancing the accuracy of the original models.
DOI: 10.15468/dl.xw7cuc
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phenacoccus solenopsis Tinsley, 1898"
 ]
}

 The dataset includes 250 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045142-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14539355
title: Aara, Eiger - Audio Analysis Dataset (Metal Music)

description: Artist: AaraAlbum: EigerGenre: Black MetalNumber of Tracks: 8

This dataset provides a detailed audio analysis of the album Eiger by Aara, a Black Metal project renowned for its atmospheric and intricate compositions. The dataset includes analytical data for all 8 tracks on the album, focusing on a range of spectral, harmonic, and rhythmic features. Each track is accompanied by:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were conducted using open-source software, primarily Librosa and Python, ensuring transparency and reproducibility.

This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.

Purpose of the Dataset:

This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.15468/dl.c5p6fy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Brontispa longissima (Gestro, 1885)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045143-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ns5u3r
title: Occurrence Download

description: A dataset containing 8000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of brown trout populations monitoring in Sierra Nevada (Spain)"
 ]
}

 The dataset includes 8000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045144-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14539354
title: Aara, Eiger - Audio Analysis Dataset (Metal Music)

description: Artist: AaraAlbum: EigerGenre: Black MetalNumber of Tracks: 8

This dataset provides a detailed audio analysis of the album Eiger by Aara, a Black Metal project renowned for its atmospheric and intricate compositions. The dataset includes analytical data for all 8 tracks on the album, focusing on a range of spectral, harmonic, and rhythmic features. Each track is accompanied by:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were conducted using open-source software, primarily Librosa and Python, ensuring transparency and reproducibility.

This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.

Purpose of the Dataset:

This dataset is designed for researchers, musicians, and enthusiasts interested in exploring the sonic characteristics of Black Metal. It provides a foundation for comparative studies, genre analysis, and other explorative research into the unique soundscapes of Eiger.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14539752
title: AN EMPIRICAL ANALYSIS OF THE IMPACT OF HEALTH POLICIES ON OUT-OF-POCKET HEALTHCARE EXPENDITURE IN USA: THE PRELIMINARY RESEARCH ON DEVELOPING IMPROVED HEALTH POLICIES IN THE UNITED STATES

description: This study examines the impact of U.S. health policies on out-of-pocket healthcare expenditures, revealing that certain policies are notably more effective in reducing costs for individuals. The regression model explains 99.5% of the variation in out-of-pocket expenses (R² = 0.995). Key findings show the Inflation Reduction Act (IRA) as the most impactful, reducing costs by $0.43 per unit (β = -0.426, p = 0.007), followed by COVID-19 Response and Health Policy Changes (CRHPC), which reduces costs by $0.16 (β = -0.162, p = 0.019). Government Expenditure on Health, however, has a positive impact, increasing out-of-pocket spending by $0.69 per dollar spent (β = 0.695, p = 0.001), suggesting inefficiencies. Inflation also drives costs up, with each 1% increase resulting in an additional $0.02 out-of-pocket (β = 0.017, p = 0.032). The findings recommend focusing on high-impact policies like the IRA and CRHPC, while reevaluating lower-impact programs to optimize resource allocation and control healthcare inflation.
DOI: 10.5281/zenodo.14539753
title: AN EMPIRICAL ANALYSIS OF THE IMPACT OF HEALTH POLICIES ON OUT-OF-POCKET HEALTHCARE EXPENDITURE IN USA: THE PRELIMINARY RESEARCH ON DEVELOPING IMPROVED HEALTH POLICIES IN THE UNITED STATES

description: This study examines the impact of U.S. health policies on out-of-pocket healthcare expenditures, revealing that certain policies are notably more effective in reducing costs for individuals. The regression model explains 99.5% of the variation in out-of-pocket expenses (R² = 0.995). Key findings show the Inflation Reduction Act (IRA) as the most impactful, reducing costs by $0.43 per unit (β = -0.426, p = 0.007), followed by COVID-19 Response and Health Policy Changes (CRHPC), which reduces costs by $0.16 (β = -0.162, p = 0.019). Government Expenditure on Health, however, has a positive impact, increasing out-of-pocket spending by $0.69 per dollar spent (β = 0.695, p = 0.001), suggesting inefficiencies. Inflation also drives costs up, with each 1% increase resulting in an additional $0.02 out-of-pocket (β = 0.017, p = 0.032). The findings recommend focusing on high-impact policies like the IRA and CRHPC, while reevaluating lower-impact programs to optimize resource allocation and control healthcare inflation.
DOI: 10.15468/dl.yuq7ud
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Abundances and biological traits of the juveniles trout sampled in the survey of trout abundance Indices (VIGITRUITE®) in the Bresle river (France)"
 ]
}

 The dataset includes 383 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045145-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11200962
title: The dataset of the plant-level decarbonization pathways and mitigation cost of global oil refineries

description: Data for the numerical results of the plant-level decarbonization pathways and mitigation cost of global oil refineries
DOI: 10.5281/zenodo.14059681
title: The  dataset of the plant-level decarbonization pathways and mitigation cost of global oil refineries

description: Data for the numerical results of the plant-level decarbonization pathways and mitigation cost of global oil refineries
DOI: 10.5281/zenodo.14273609
title: The  dataset of the plant-level decarbonization pathways and mitigation cost of global oil refineries

description: Data for the numerical results of the plant-level decarbonization pathways and mitigation cost of global oil refineries
DOI: 10.5281/zenodo.14539829
title: The  dataset of the plant-level decarbonization pathways and mitigation cost of global oil refineries

description: Data for the numerical results of the plant-level decarbonization pathways and mitigation cost of global oil refineries
DOI: 10.6084/m9.figshare.28077461
title: Repurposing of FDA approved drug for the treatment of <i>Yersinia pestis</i> caused Bubonic plague: A Virtual screening, ADMET, Docking & MD Simulation Study

description: This repo contacting the meta data related to repurposing of FDA approved drug for the treatment of <i>Yersinia pestis</i> caused Bubonic plague: A Virtual screening, ADMET, Docking & MD Simulation Study
DOI: 10.6084/m9.figshare.28077461.v1
title: Repurposing of FDA approved drug for the treatment of <i>Yersinia pestis</i> caused Bubonic plague: A Virtual screening, ADMET, Docking & MD Simulation Study

description: This repo contacting the meta data related to repurposing of FDA approved drug for the treatment of <i>Yersinia pestis</i> caused Bubonic plague: A Virtual screening, ADMET, Docking & MD Simulation Study
DOI: 10.6084/m9.figshare.28075376
title: source data

description: Separation of multi-component mixtures is an extremely difficult task. Pore integration strategy offers an approach for assembling ordered pores with specific functions on demand to achieve the one-step separation of multi-component complex mixtures.
DOI: 10.15468/dl.6pyeep
title: Occurrence Download

description: A dataset containing 64729 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elephantidae"
 ]
}

 The dataset includes 64729 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045146-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8ncg5
title: Occurrence Download

description: A dataset containing 20291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Mammalia",
 "Year 2023-2024"
 ]
}

 The dataset includes 20291 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045147-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48612/msupe/76bx-98pb-zn3u
title: Потребности кыргызстанской молодежи в психологическом просвещении

description: Исследуется уровень осведомленности и потребностей молодежи Кыргызстана в области психологического просвещения. Опрос был проведен среди 1014 молодых людей в возрасте 15-26 лет в сентябре-октябре 2024 года, из которых 89,7% – девушки, 35% респондентов живут в крупных городах республики. Оценивались осведомленность о психологическом здоровье, обращение за психологической помощью и потребность в информации о психологии.