cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14557601
title: Among These Ashes, Embers of Elysium - Audio Analysis Dataset (Metal Music)

description: Artist: Among These AshesAlbum: Embers of ElysiumGenre: Power MetalNumber of Tracks: 13

This dataset offers an in-depth audio analysis of the album Embers of Elysium by Among These Ashes, a Power Metal project characterized by its soaring melodies, fast tempos, and dynamic arrangements. The dataset encompasses all 13 tracks from the album, with a focus on exploring various spectral, harmonic, and rhythmic elements. For each track, the dataset includes:







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 designed for researchers, musicians, and fans who are passionate about Power Metal and want to delve into the technical and musical intricacies of Embers of Elysium. It is a valuable resource for comparative analysis, genre exploration, and deeper insights into Among These Ashes’ vibrant soundscapes.

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.14557602
title: Among These Ashes, Embers of Elysium - Audio Analysis Dataset (Metal Music)

description: Artist: Among These AshesAlbum: Embers of ElysiumGenre: Power MetalNumber of Tracks: 13

This dataset offers an in-depth audio analysis of the album Embers of Elysium by Among These Ashes, a Power Metal project characterized by its soaring melodies, fast tempos, and dynamic arrangements. The dataset encompasses all 13 tracks from the album, with a focus on exploring various spectral, harmonic, and rhythmic elements. For each track, the dataset includes:







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 designed for researchers, musicians, and fans who are passionate about Power Metal and want to delve into the technical and musical intricacies of Embers of Elysium. It is a valuable resource for comparative analysis, genre exploration, and deeper insights into Among These Ashes’ vibrant soundscapes.

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.ezpdaf
title: Occurrence Download

description: A dataset containing 891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia flavicoma subsp. occidentalis M.Laínz"
 ]
}

 The dataset includes 891 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049109-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28093916
title: Questionnaire B

description: This is a questionnaire for a Delphi study.
DOI: 10.5281/zenodo.14557590
title: Annotations for the AOD1845 Data Sets

description: This data set contains several annotations of the original AOD1845 datasets.
DOI: 10.5281/zenodo.13899540
title: Historical Animal Observation Records by Bavarian Forestry Offices (1845)

description: In 1845, under the scientific direction of Andreas Wagner, the Bavarian government recorded the occurrence of 44 selected vertebrate species across the entire country. To this end, Wagner had a survey questionnaire sent to all 119 forestry offices in the state. The foresters' responses were now systematically recorded and analyzed for the first time. This data set represents the result of this survey. Among other things, it contains 5,467 geo-coded animal observation data.

The data is the result of an interdisciplinary collaboration between scientists from the Chair of Computational Humanities at the University of Passau, the Directorate General of the Bavarian State Archives Munich, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Center for Biodiversity Informatics and Collection Data Integration at the Botanical Garden Berlin, and the NFDI4Biodiversity consortium.
DOI: 10.5281/zenodo.13957365
title: Historical Animal Observation Records by Bavarian Forestry Offices (1845)

description: In 1845, under the scientific direction of Andreas Wagner, the Bavarian government recorded the occurrence of 44 selected vertebrate species across the entire country. To this end, Wagner had a survey questionnaire sent to all 119 forestry offices in the state. The foresters' responses were now systematically recorded and analyzed for the first time. This data set represents the result of this survey. Among other things, it contains 5,464 geo-coded animal observation data.

The data is the result of an interdisciplinary collaboration between scientists from the Chair of Computational Humanities at the University of Passau, the Directorate General of the Bavarian State Archives Munich, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Center for Biodiversity Informatics and Collection Data Integration at the Botanical Garden Berlin, and the NFDI4Biodiversity consortium.
DOI: 10.5281/zenodo.13982840
title: Historical Animal Observation Records by Bavarian Forestry Offices (1845)

description: In 1845, under the scientific direction of Andreas Wagner, the Bavarian government recorded the occurrence of 44 selected vertebrate species across the entire country. To this end, Wagner had a survey questionnaire sent to all 119 forestry offices in the state. The foresters' responses were now systematically recorded and analyzed for the first time. This data set represents the result of this survey. Among other things, it contains 5,464 geo-coded animal observation data.

The data is the result of an interdisciplinary collaboration between scientists from the Chair of Computational Humanities at the University of Passau, the Directorate General of the Bavarian State Archives Munich, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Center for Biodiversity Informatics and Collection Data Integration at the Botanical Garden Berlin, and the NFDI4Biodiversity consortium.
DOI: 10.5281/zenodo.14008158
title: Historical Animal Observation Records by Bavarian Forestry Offices (1845)

description: In 1845, under the scientific direction of Andreas Wagner, the Bavarian government recorded the occurrence of 44 selected vertebrate species across the entire country. To this end, Wagner had a survey questionnaire sent to all 119 forestry offices in the state. The foresters' responses were now systematically recorded and analyzed for the first time. This data set represents the result of this survey. Among other things, it contains 5,467 geo-coded animal observation data.

The data is the result of an interdisciplinary collaboration between scientists from the Chair of Computational Humanities at the University of Passau, the Directorate General of the Bavarian State Archives Munich, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Center for Biodiversity Informatics and Collection Data Integration at the Botanical Garden Berlin, and the NFDI4Biodiversity consortium.
DOI: 10.5281/zenodo.14452998
title: Historical Animal Observation Records by Bavarian Forestry Offices (1845)

description: In 1845, under the scientific direction of Andreas Wagner, the Bavarian government recorded the occurrence of 44 selected vertebrate species across the entire country. To this end, Wagner had a survey questionnaire sent to all 119 forestry offices in the state. The foresters' responses were now systematically recorded and analyzed for the first time. This data set represents the result of this survey. Among other things, it contains 5,467 geo-coded animal observation data.

The data is the result of an interdisciplinary collaboration between scientists from the Chair of Computational Humanities at the University of Passau, the Directorate General of the Bavarian State Archives Munich, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, the Center for Biodiversity Informatics and Collection Data Integration at the Botanical Garden Berlin, and the NFDI4Biodiversity consortium.
DOI: 10.6084/m9.figshare.28093922
title: Questionnaire C

description: This is a questionnaire for a Delphi study.
DOI: 10.6084/m9.figshare.28093922.v1
title: Questionnaire C

description: This is a questionnaire for a Delphi study.
DOI: 10.15468/dl.4jpwxm
title: Occurrence Download

description: A dataset containing 40944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Littorina littorea (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40944 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049110-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.haghm9
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia pyrenaica Jord."
 ]
}

 The dataset includes 1172 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049111-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28093925
title: Questionnaires A - G

description: This are questionnaires for a mixed methods study.
DOI: 10.15468/dl.wtb9n3
title: Occurrence Download

description: A dataset containing 8930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca eskia Ramond ex DC."
 ]
}

 The dataset includes 8930 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049113-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtj94u
title: Occurrence Download

description: A dataset containing 999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca glacialis (Miégev. ex Hack.) K.Richt."
 ]
}

 The dataset includes 999 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049115-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs296u
title: Occurrence Download

description: A dataset containing 39920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pelobates Wagler, 1830"
 ]
}

 The dataset includes 39920 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049116-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26501250
title: Using machine learning to classify the immunosuppressive activity of per- and polyfluoroalkyl substances

description: Per- and polyfluoroalkyl substances (PFASs), one of the persistent organic pollutants, have immunosuppressive effects. The evaluation of this effect has been the focus of regulatory toxicology. In this investigation, 146 PFASs (immunosuppressive or nonimmunosuppressive) and corresponding concentration gradients were collected from literature, and their structures were characterized by using Dragon descriptors. Feature importance analysis and stepwise feature elimination are used for feature selection. Three machine learning (ML) methods, namely Random Forest (RF), Extreme Gradient Boosting Machine (XGB), and Categorical Boosting Machine (CB), were utilized for model development. The model interpretability was explored by feature importance analysis and correlation analysis. The findings indicated that the three models developed have exhibited excellent performance. Among them, the best-performing RF model has an average AUC score of 0.9720 for the testing set. The results of the feature importance analysis demonstrated that concentration, SpPosA_X, IVDE, R2s, and SIC2 were the crucial molecular features. Applicability domain analysis was also performed to determine reliable prediction boundaries for the model. In conclusion, this study is the first application of ML models to investigate the immunosuppressive activity of PFASs. The variables used in the models can help understand the mechanism of the immunosuppressive activity of PFASs, allow researchers to more effectively assess the immunosuppressive potential of a large number of PFASs, and thus better guide environmental and health risk assessment efforts.
DOI: 10.6084/m9.figshare.26501250.v1
title: Using machine learning to classify the immunosuppressive activity of per- and polyfluoroalkyl substances

description: Per- and polyfluoroalkyl substances (PFASs), one of the persistent organic pollutants, have immunosuppressive effects. The evaluation of this effect has been the focus of regulatory toxicology. In this investigation, 146 PFASs (immunosuppressive or nonimmunosuppressive) and corresponding concentration gradients were collected from literature, and their structures were characterized by using Dragon descriptors. Feature importance analysis and stepwise feature elimination are used for feature selection. Three machine learning (ML) methods, namely Random Forest (RF), Extreme Gradient Boosting Machine (XGB), and Categorical Boosting Machine (CB), were utilized for model development. The model interpretability was explored by feature importance analysis and correlation analysis. The findings indicated that the three models developed have exhibited excellent performance. Among them, the best-performing RF model has an average AUC score of 0.9720 for the testing set. The results of the feature importance analysis demonstrated that concentration, SpPosA_X, IVDE, R2s, and SIC2 were the crucial molecular features. Applicability domain analysis was also performed to determine reliable prediction boundaries for the model. In conclusion, this study is the first application of ML models to investigate the immunosuppressive activity of PFASs. The variables used in the models can help understand the mechanism of the immunosuppressive activity of PFASs, allow researchers to more effectively assess the immunosuppressive potential of a large number of PFASs, and thus better guide environmental and health risk assessment efforts.
DOI: 10.6084/m9.figshare.28093934
title: Host BALF RNA-seq gene expression profile

description: This sheet contains processed RNA-seq gene expression profiles derived from 62 BALF samples of children with macrolide-unresponsive <i>Mycoplasma pneumoniae</i> pneumonia (MUMPP). The table provides normalized gene expression levels for each sample, generated after RNA-seq data processing, including quality control, rRNA filtering, genome alignment, and quantification of gene expression. This dataset enables downstream analyses such as differential gene expression and pathway enrichment studies.
DOI: 10.6084/m9.figshare.28093934.v1
title: Host BALF RNA-seq gene expression profile

description: This sheet contains processed RNA-seq gene expression profiles derived from 62 BALF samples of children with macrolide-unresponsive <i>Mycoplasma pneumoniae</i> pneumonia (MUMPP). The table provides normalized gene expression levels for each sample, generated after RNA-seq data processing, including quality control, rRNA filtering, genome alignment, and quantification of gene expression. This dataset enables downstream analyses such as differential gene expression and pathway enrichment studies.
DOI: 10.15468/dl.87ebrr
title: Occurrence Download

description: A dataset listing the 4015674 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4015674 records were derived from 70103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049114-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrquk6
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Pl@ntNet observations",
 "GadmGid is FRA",
 "Geometry POLYGON((5.39426 43.2292,5.51235 43.2292,5.51235 43.30092,5.39426 43.30092,5.39426 43.2292))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (August, September, October, November, December, January, July, June)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, da86174a-a605-43a4-a5e8-53d484152cd3, 2cd829bb-b713-433d-99cf-64bef11e5b3e, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862)",
 "TaxonKey is Plantae",
 "Year 2021-2024"
 ]
}

 The dataset includes 161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049117-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28093019
title: <b>Potential Distribution Pattern and Ecological Suitability Analysis of </b><b><i>Hippophae tibetana Schltdl</i></b><b> in China Based on the MaxEnt Model</b>

description: This dataset is provided in DOCX format and contains key information such as species names, observation locations (latitude and longitude), and countries. The species covered in this dataset are primarily distributed across the Tibetan Plateau, at altitudes ranging from 2800 meters to 5200 meters. The data points are primarily sourced from publicly available literature both domestically and internationally, as well as the Global Biodiversity Information Facility (GBIF, website: https://www.gbif.org/). This dataset aims to provide scientific support for the future ecological protection and planting planning of Hippophae, and to aid research and decision-making in related fields.
DOI: 10.6084/m9.figshare.28093019.v1
title: <b>Potential Distribution Pattern and Ecological Suitability Analysis of </b><b><i>Hippophae tibetana Schltdl</i></b><b> in China Based on the MaxEnt Model</b>

description: This dataset is provided in DOCX format and contains key information such as species names, observation locations (latitude and longitude), and countries. The species covered in this dataset are primarily distributed across the Tibetan Plateau, at altitudes ranging from 2800 meters to 5200 meters. The data points are primarily sourced from publicly available literature both domestically and internationally, as well as the Global Biodiversity Information Facility (GBIF, website: https://www.gbif.org/). This dataset aims to provide scientific support for the future ecological protection and planting planning of Hippophae, and to aid research and decision-making in related fields.
DOI: 10.15468/dl.9h8mub
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049118-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28093943
title: Floods inventory for High Mountain Asia

description: A comprehensive inventory of flood events in HMA, covering ten major regions including the Inner Plateau, Himalaya, Tien Shan, Hengduan Mountains, and the Karakoram, etc (Fig. 1a). A total of 1015 flood events are detected between 1950 and 2023 , including 261 pluvial-induced floods (PFs), 220 snowmelt-induced floods (SFs), 427 GLOFs, and 107 landslide-dammed lake outburst floods (LLOFs).
DOI: 10.34740/kaggle/dsv/10302823
title: World Weather Repository ( Daily Updating )
DOI: 10.17605/osf.io/nqkpc
title: IoT Integration to POL SMS

description: Systematic Mapping Study of IoT Technological and Pedagogical Approaches to Personalized Online Learning
DOI: 10.6084/m9.figshare.28094006
title: Supplementary Material for: Successful Pregnancy in a Patient with Crohn's Disease and Short Bowel Syndrome: Off Total Parenteral Nutrition and On Teduglutide, a Glucagon-like Peptide-2 Analog. A Case Report

description: Patients with Short Bowel Syndrome (SBS) on conventional diets often experience nutritional deficiencies and dehydration, with pregnancy posing additional challenges. This case report details the experience of a 29-year-old woman with a history of Crohn's disease and subsequent SBS, who typically required total parenteral nutrition (TPN). Her pregnancy was successfully managed with the glucagon-like peptide-2 (GLP-2) analog enabling her to wean off TPN. This instance illuminates the potential of GLP-2 analog in altering the nutritional management landscape for pregnant SBS patients, underscoring the need for further exploration into such treatment alternatives.
DOI: 10.6084/m9.figshare.28094006.v1
title: Supplementary Material for: Successful Pregnancy in a Patient with Crohn's Disease and Short Bowel Syndrome: Off Total Parenteral Nutrition and On Teduglutide, a Glucagon-like Peptide-2 Analog. A Case Report

description: Patients with Short Bowel Syndrome (SBS) on conventional diets often experience nutritional deficiencies and dehydration, with pregnancy posing additional challenges. This case report details the experience of a 29-year-old woman with a history of Crohn's disease and subsequent SBS, who typically required total parenteral nutrition (TPN). Her pregnancy was successfully managed with the glucagon-like peptide-2 (GLP-2) analog enabling her to wean off TPN. This instance illuminates the potential of GLP-2 analog in altering the nutritional management landscape for pregnant SBS patients, underscoring the need for further exploration into such treatment alternatives.