cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e426c2
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((119.33298 -2.24966,121.54269 -2.24966,121.54269 -0.03995,119.33298 -0.03995,119.33298 -2.24966))",
 "Geometry POLYGON((119.10974 -5.56558,121.23908 -6.65842,124.56266 -5.56558,125.6555 2.01668,121.64467 1.81388,119.10974 1.1041,118.1521 -2.12934,119.10974 -5.56558))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nepenthes tentaculata Hook.fil."
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048795-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10298010
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.n7f8by
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-112.77053 8.32639,-72.18724 8.32639,-72.18724 24.56666,-112.77053 24.56666,-112.77053 8.32639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Atractosteus tropicus Gill, 1863"
 ]
}

 The dataset's 2 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048796-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w65f2
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-112.77053 8.32639,-72.18724 8.32639,-72.18724 24.56666,-112.77053 24.56666,-112.77053 8.32639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Atractosteus tropicus Gill, 1863"
 ]
}

 The dataset includes 138 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka3whj
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachygalea albolineata Blachier, 1905"
 ]
}

 The dataset includes 60 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048798-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpvd6a
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthosyris paulo-alvinii G.M.Barroso"
 ]
}

 The dataset includes 80 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048799-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10297970
title: Contract Awards financed by World Bank (IPF)
DOI: 10.15468/dl.5mtqc2
title: Occurrence Download

description: A dataset containing 4188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.03249 36.7566,-6.24305 36.80119,-6.5117 36.79538,-6.57705 36.59355,-6.5117 36.44573,-6.37617 36.3873,-6.21401 36.32297,-6.03007 36.34247,-5.90664 36.43794,-5.84613 36.59161,-5.81709 36.6693,-5.89937 36.71199,-6.03249 36.7566))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4188 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048800-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgxwhg
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachygalea albolineata Blachier, 1905"
 ]
}

 The dataset includes 60 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048801-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26302/sshade/bandlist_abs_h2o_h2o-ih
title: Absorption band list of H2O in solid H2O (phase I: Ih, Ic)

description: FIR-MIR-NIR absorption band list of $H_2O$ in solid $H_2O$ (phase I: Ih, Ic) at 20, 100, 140 and 270 K
DOI: 10.5281/zenodo.14537831
title: A la Carte, Born To Entertain - Audio Analysis Dataset (Metal Music)

description: Artist: A la CarteAlbum: Born to EntertainGenre: Technical Death MetalNumber of Tracks: 12

This dataset provides a detailed audio analysis of the tracks from Born to Entertain by A la Carte, offering a valuable resource for researchers, music enthusiasts, and anyone interested in the technical study of the Technical Death Metal genre.

Dataset Content:





Analysis types for each track:



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.




Purpose of the Dataset:

This dataset was created to offer an objective basis for the technical study of musical audio. The analyses included allow users to:



Explore the timbral and structural features of Technical Death Metal tracks.

Compare A la Carte's musical approach with other artists in the genre or in different styles.

Experiment with audio analysis techniques for academic, artistic, or technical purposes.


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.14537832
title: A la Carte, Born To Entertain - Audio Analysis Dataset (Metal Music)

description: Artist: A la CarteAlbum: Born to EntertainGenre: Technical Death MetalNumber of Tracks: 12

This dataset provides a detailed audio analysis of the tracks from Born to Entertain by A la Carte, offering a valuable resource for researchers, music enthusiasts, and anyone interested in the technical study of the Technical Death Metal genre.

Dataset Content:





Analysis types for each track:



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.




Purpose of the Dataset:

This dataset was created to offer an objective basis for the technical study of musical audio. The analyses included allow users to:



Explore the timbral and structural features of Technical Death Metal tracks.

Compare A la Carte's musical approach with other artists in the genre or in different styles.

Experiment with audio analysis techniques for academic, artistic, or technical purposes.


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.x3gfqs
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-112.77053 8.32639,-72.18724 8.32639,-72.18724 24.56666,-112.77053 24.56666,-112.77053 8.32639))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Atractosteus tropicus Gill, 1863"
 ]
}

 The dataset includes 138 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048802-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005111.v1.0.0
title: MNE sample dataset
DOI: 10.15468/dl.bx93zn
title: Occurrence Download

description: A dataset containing 7005 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium fund of the Mangyshlak experimental botanical garden (MANG)"
 ]
}

 The dataset includes 7005 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048804-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq29hf
title: Occurrence Download

description: A dataset containing 75657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Marshall Islands",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 75657 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048803-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axev2e
title: Occurrence Download

description: A dataset containing 4242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Month is one of (November, December)",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 2023-2024"
 ]
}

 The dataset includes 4242 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048807-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14555903
title: Clifford circuits generated for paper: Parallel Equivalence Checking of Stabilizer Quantum Circuits on GPUs.

description: This submission contains 500 Clifford circuits ranging from 1,000 to 500,000 qubits used for benchmarks in our paper: Parallel Equivalence Checking of Stabilizer Quantum Circuits on GPUs.
DOI: 10.5281/zenodo.14555904
title: Clifford circuits generated for paper: Parallel Equivalence Checking of Stabilizer Quantum Circuits on GPUs.

description: This submission contains 500 Clifford circuits ranging from 1,000 to 500,000 qubits used for benchmarks in our paper: Parallel Equivalence Checking of Stabilizer Quantum Circuits on GPUs.
DOI: 10.5281/zenodo.14556062
title: Agalloch, Pale Folklore - Audio Analysis Dataset (Metal Music)

description: Artist: AgallochAlbum: Pale FolkloreGenre: Black MetalNumber of Tracks: 8

This dataset provides a comprehensive audio analysis of the album Pale Folklore by Agalloch, a seminal Black Metal project known for its atmospheric and melancholic soundscapes. The dataset includes analytical data for all 8 tracks on the album, focusing on a wide 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 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 wish to delve into the intricate sonic characteristics of atmospheric Black Metal. It serves as a valuable resource for genre analysis, comparative studies, and deeper exploration of Agalloch's masterpiece, Pale Folklore.

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.14556063
title: Agalloch, Pale Folklore - Audio Analysis Dataset (Metal Music)

description: Artist: AgallochAlbum: Pale FolkloreGenre: Black MetalNumber of Tracks: 8

This dataset provides a comprehensive audio analysis of the album Pale Folklore by Agalloch, a seminal Black Metal project known for its atmospheric and melancholic soundscapes. The dataset includes analytical data for all 8 tracks on the album, focusing on a wide 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 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 wish to delve into the intricate sonic characteristics of atmospheric Black Metal. It serves as a valuable resource for genre analysis, comparative studies, and deeper exploration of Agalloch's masterpiece, Pale Folklore.

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.4hpzhf
title: Occurrence Download

description: A dataset containing 5518765 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum (London) Collection Specimens"
 ]
}

 The dataset includes 5518765 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048805-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud2p7g
title: Occurrence Download

description: A dataset containing 82327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Canada, Australia, Spain, Portugal, New Zealand, Colombia, Costa Rica, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 82327 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048808-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtv74q
title: Occurrence Download

description: A dataset containing 446156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-10-30",
 "EventDate is less than or equal to 2024-11-29",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 446156 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048806-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxfa7z
title: Occurrence Download

description: A dataset containing 93496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-11-30",
 "EventDate is less than or equal to 2024-12-30",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 93496 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048809-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14556128
title: Alkymist, UnnDerr - Audio Analysis Dataset (Metal Music)

description: Artist: AlkymistAlbum: UnnDerrGenre: Doom MetalNumber of Tracks: 7

This dataset provides a comprehensive audio analysis of the album UnnDerr by Alkymist, a Doom Metal project renowned for its heavy, slow tempos and atmospheric intensity. The dataset includes analytical data for all 7 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 curated for researchers, musicians, and fans who wish to explore the sonic depth and nuances of Doom Metal. It serves as an invaluable resource for genre-specific studies, comparative music analysis, and a deeper understanding of UnnDerr by Alkymist.

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.14556129
title: Alkymist, UnnDerr - Audio Analysis Dataset (Metal Music)

description: Artist: AlkymistAlbum: UnnDerrGenre: Doom MetalNumber of Tracks: 7

This dataset provides a comprehensive audio analysis of the album UnnDerr by Alkymist, a Doom Metal project renowned for its heavy, slow tempos and atmospheric intensity. The dataset includes analytical data for all 7 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 curated for researchers, musicians, and fans who wish to explore the sonic depth and nuances of Doom Metal. It serves as an invaluable resource for genre-specific studies, comparative music analysis, and a deeper understanding of UnnDerr by Alkymist.

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: 10.15468/9j5gac
title: Bird counts in Northwestern Azov Sea Subregion in September-November 2019

description: The dataset contains information on the results of daily bird counts conducted at 34 stationary Vantage Points (VP), as well as weekly counts at 9 Point Counts (PC) from September to November 2019 (research methods are detailed in the "Sampling" and "methodStep" sections). Data collection took place along the valleys of the Molochna and Malyi Utliuk rivers, as well as on the shores of the Molochna and Utliuk estuaries. Daily surveys were conducted over 80 days: September 2 – November 20. Dataset contains 18728 records on 205 species of birds.
Field studies were conducted under individual civil law contracts for the development of scientific and technical products titled "Monitoring of the ornithofauna in the area of the proposed Azov Wind Power Plant", aimed at assessing potential threats to birds from its operation, commissioned by "ENBITI UKRAINE LTD" (Kyiv) (ТОВ «ЕНБІТІ Україна» (Київ)).
DOI: 10.5281/zenodo.14556148
title: Rural tourism dataset (Croatia)

description: The dataset comprises two separate sheets: one for the pilot study and the other for the main study on the motivations and activities of potential domestic tourists in Croatia's rural areas.