cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/z31c-2379
title: "portfolio-optimization"

description: "This paper investigates the integration ofdeep learning-based volatility forecasting with portfoliooptimization strategies. We develop and evaluate aframework that combines three neural architectures\u2014ResNet1D, WaveletCNN, and Temporal ConvolutionalAutoencoder\u2014with both classical mean-variance optimization and reinforcement learning approaches. Usinga comprehensive dataset spanning 2012-2025, we systematically analyze how different volatility-sentiment indicators (DIX, GEX, PCR, SKEW, VIX) and rebalancingfrequencies affect portfolio performance across eightlarge-cap stocks. Our findings reveal that WaveletCNNcoupled with reinforcement learning achieves superiorraw returns (23.5% annually), while Markowitz optimization delivers more consistent risk-adjusted performance (\u03c3Sharpe = 0.03 vs. \u03c3Sharpe = 0.15 for RL). We identify clear temporal dynamics in strategy effectiveness,with RL performing optimally at weekly rebalancingintervals versus quarterly for Markowitz. Furthermore,multi-factor combinations systematically outperformsingle-factor approaches, with the DIX+GEX+SKEWensemble yielding a 26.6% annual return under semiannual rebalancing. The results demonstrate a fundamental trade-off between return maximization and outcomeconsistency, with RL strategies generating positivelyskewed return distributions (skewness = 1.43) versusMarkowitz\u2019s more compact, near-normal distribution.This research contributes to the growing intersectionof machine learning and quantitative finance, offeringpractitioners evidence-based guidance for selectingvolatility forecasting architectures and optimizationstrategies aligned with specific investment mandatesand risk preferences."
DOI: 10.21233/jq45-d860
title: LDDsite3440 ostracode surface sample dataset

description: Raw data for the LDDsite3440 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.tr6up3
title: Occurrence Download

description: A dataset containing 1460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Spain",
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Dataset of Passerine bird communities in a mediterranean high mountain (Sierra Nevada, Spain), Citacions biodiversitat Espais Naturals Protecció Especial, NABU|naturgucker, Seguimiento de aves comunes en las Illes Balears, Institut Mediterrani d'Estudis Avançats (CSIC-UIB): IMEDEA-PALEOVERT, Museu Darder de Banyoles, Species observations during citizen science expeditions)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunella collaris (Scopoli, 1769)"
 ]
}

 The dataset includes 1460 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026502-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/9csr-tc07
title: LDDsite3662 ostracode surface sample dataset

description: Raw data for the LDDsite3662 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15276225
title: Musical Evolution 1400 - 1800

description: This dataset contains about 400 compositions over the period 1400 - 1800 and is intended for research of the period 1450 - 1750.

It includes:



multif0 extractions of recordings on a Spotify playlist.

Musicological metadata in experiment_metadata.csv

Audio metadata in file_names.csv


The key between 1 and 2 is the file name of the multi f0 extraction and the field csv_file_name in 2.

The field playlist_nr is the key between 2 and 3.
description: These are the fields in experiment_metadata.csv. Since this dataset is intended for an Applied Data Science thesis project, the potential relevance for this project is indicated in a third column.

 

  


field name
description
relevant for ADS project


sheet music numbered
administration field for sheet music
no


In spotify playlist
administration field for the playlist
no


pdf numbered
administration field for archive
no


id
id of the record in this dataset
yes


playlist_nr
number on the playlist
yes


composer
composer name
yes


birth_year
(estimated) birth year of the composer
maybe


death_year
(estimated) death year of the composer
maybe


midlife
average between birth_year and death_year
maybe


anthology
source from where the music has been selected
maybe


edition_name
if known, name of the first edition where the composition appeared
no


work_title
title of the composition
yes


tuono_indicated
no
no


accidentals
accidentals in the edition
no


publication
if known, publication year of the composition
yes


est_yr_of_composition
if available: publication, else: midlife
yes


decade
decade of est_yr_of_composition
yes


boundary_tones
list of root notes of last chords before a boundary
no


finalis
lowest note of the last chord of the composition
no


vocal/instrumental
whether the composition is intended for voices or instruments
maybe


Frans_selectie
administration field for a manual check by Frans Wiering
no


youtube
hyperlink to youtube recording (incomplete)
no
description: Multif0 extraction

The Multif0 extractions do not have meaningful headers; the first column contains the timestamps, the subsequent columns contain 'voice' columns, without voice leading. By default, the leftmost voice column contains the lowest detected frequency.




Field
Format
Description




0.0
float
timestamp in seconds, time sample rate = 86.1328125


[empty]
float
frequency of the lowest voice at that time stamp, frequency sample rate = 20 cents


..
..
..


[empty]
float
frequency of the highest voice at that time stamp, frequency sample rate = 20 cents




Midi Mulltif0 extraction

The midi_mf0 files contain multif0 extractions, with the frequencies binned into midi tone numbers.




Field
Format
Description




[empty]
integer
row id


timestamp
float
timestamp in seconds, time sample rate = 86.1328125


voice1
integer
midi tone of the lowest voice at that time stamp


..
..
..


voice[n]
integer
midi tone of the highest voice at that time stamp
DOI: 10.5281/zenodo.15276226
title: Musical Evolution 1400 - 1800

description: This dataset contains about 400 compositions over the period 1400 - 1800 and is intended for research of the period 1450 - 1750.

It includes:



multif0 extractions of recordings on a Spotify playlist.

Musicological metadata in experiment_metadata.csv

Audio metadata in file_names.csv


The key between 1 and 2 is the file name of the multi f0 extraction and the field csv_file_name in 2.

The field playlist_nr is the key between 2 and 3.
description: These are the fields in experiment_metadata.csv. Since this dataset is intended for an Applied Data Science thesis project, the potential relevance for this project is indicated in a third column.

 

  


field name
description
relevant for ADS project


sheet music numbered
administration field for sheet music
no


In spotify playlist
administration field for the playlist
no


pdf numbered
administration field for archive
no


id
id of the record in this dataset
yes


playlist_nr
number on the playlist
yes


composer
composer name
yes


birth_year
(estimated) birth year of the composer
maybe


death_year
(estimated) death year of the composer
maybe


midlife
average between birth_year and death_year
maybe


anthology
source from where the music has been selected
maybe


edition_name
if known, name of the first edition where the composition appeared
no


work_title
title of the composition
yes


tuono_indicated
no
no


accidentals
accidentals in the edition
no


publication
if known, publication year of the composition
yes


est_yr_of_composition
if available: publication, else: midlife
yes


decade
decade of est_yr_of_composition
yes


boundary_tones
list of root notes of last chords before a boundary
no


finalis
lowest note of the last chord of the composition
no


vocal/instrumental
whether the composition is intended for voices or instruments
maybe


Frans_selectie
administration field for a manual check by Frans Wiering
no


youtube
hyperlink to youtube recording (incomplete)
no
description: These are the fields in file_names.csv. Since this dataset is intended for an Applied Data Science thesis project, the potential relevance for this project is indicated in a third column.

  


field name
description
relevant for ADS project


csv_file_name
filename of the multif0 extraction
yes


playlist_nr
number of the playlist
yes


csv_length
duration of the multif0 file in seconds
no


file_name
filename without extention
no


wav_file_name
filename of the recording
no


wav_length
duration of the recording
no
description: Multif0 extraction

The Multif0 extractions do not have meaningful headers; the first column contains the timestamps, the subsequent columns contain 'voice' columns, without voice leading. By default, the leftmost voice column contains the lowest detected frequency.




Field
Format
Description




0.0
float
timestamp in seconds, time sample rate = 86.1328125


[empty]
float
frequency of the lowest voice at that time stamp, frequency sample rate = 20 cents


..
..
..


[empty]
float
frequency of the highest voice at that time stamp, frequency sample rate = 20 cents
DOI: 10.5281/zenodo.15359148
title: Musical Evolution 1400 - 1800

description: This dataset contains about 400 compositions over the period 1400 - 1800 and is intended for research of the period 1450 - 1750.

It includes:



multif0 extractions of recordings on a Spotify playlist.

Musicological metadata in experiment_metadata.csv

Audio metadata in file_names.csv


The key between 1 and 2 is the file name of the multi f0 extraction and the field csv_file_name in 2.

The field playlist_nr is the key between 2 and 3.
description: These are the fields in experiment_metadata.csv. Since this dataset is intended for an Applied Data Science thesis project, the potential relevance for this project is indicated in a third column.

 

  


field name
description
relevant for ADS project


sheet music numbered
administration field for sheet music
no


In spotify playlist
administration field for the playlist
no


pdf numbered
administration field for archive
no


id
id of the record in this dataset
yes


playlist_nr
number on the playlist
yes


composer
composer name
yes


birth_year
(estimated) birth year of the composer
maybe


death_year
(estimated) death year of the composer
maybe


midlife
average between birth_year and death_year
maybe


anthology
source from where the music has been selected
maybe


edition_name
if known, name of the first edition where the composition appeared
no


work_title
title of the composition
yes


tuono_indicated
no
no


accidentals
accidentals in the edition
no


publication
if known, publication year of the composition
yes


est_yr_of_composition
if available: publication, else: midlife
yes


decade
decade of est_yr_of_composition
yes


boundary_tones
list of root notes of last chords before a boundary
no


finalis
lowest note of the last chord of the composition
no


vocal/instrumental
whether the composition is intended for voices or instruments
maybe


Frans_selectie
administration field for a manual check by Frans Wiering
no


youtube
hyperlink to youtube recording (incomplete)
no
description: Multif0 extraction

The Multif0 extractions do not have meaningful headers; the first column contains the timestamps, the subsequent columns contain 'voice' columns, without voice leading. By default, the leftmost voice column contains the lowest detected frequency.




Field
Format
Description




0.0
float
timestamp in seconds, time sample rate = 86.1328125


[empty]
float
frequency of the lowest voice at that time stamp, frequency sample rate = 20 cents


..
..
..


[empty]
float
frequency of the highest voice at that time stamp, frequency sample rate = 20 cents




Midi Mulltif0 extraction

The midi_mf0 files contain multif0 extractions, with the frequencies binned into midi tone numbers.




Field
Format
Description




[empty]
integer
row id


timestamp
float
timestamp in seconds, time sample rate = 86.1328125


voice1
integer
midi tone of the lowest voice at that time stamp


..
..
..


voice[n]
integer
midi tone of the highest voice at that time stamp
DOI: 10.5281/zenodo.15389018
title: Musical Evolution 1400 - 1800

description: This dataset contains about 400 compositions over the period 1400 - 1800 and is intended for research of the period 1450 - 1750.

It includes:



multif0 extractions of recordings on a Spotify playlist.

Musicological metadata in experiment_metadata.csv

Audio metadata in file_names.csv


The key between 1 and 2 is the file name of the multi f0 extraction and the field csv_file_name in 2.

The field playlist_nr is the key between 2 and 3.
description: These are the fields in experiment_metadata.csv. Since this dataset is intended for an Applied Data Science thesis project, the potential relevance for this project is indicated in a third column.

 

  


field name
description
relevant for ADS project


sheet music numbered
administration field for sheet music
no


In spotify playlist
administration field for the playlist
no


pdf numbered
administration field for archive
no


id
id of the record in this dataset
yes


playlist_nr
number on the playlist
yes


composer
composer name
yes


birth_year
(estimated) birth year of the composer
maybe


death_year
(estimated) death year of the composer
maybe


midlife
average between birth_year and death_year
maybe


anthology
source from where the music has been selected
maybe


edition_name
if known, name of the first edition where the composition appeared
no


work_title
title of the composition
yes


tuono_indicated
no
no


accidentals
accidentals in the edition
no


publication
if known, publication year of the composition
yes


est_yr_of_composition
if available: publication, else: midlife
yes


decade
decade of est_yr_of_composition
yes


boundary_tones
list of root notes of last chords before a boundary
no


finalis
lowest note of the last chord of the composition
no


vocal/instrumental
whether the composition is intended for voices or instruments
maybe


Frans_selectie
administration field for a manual check by Frans Wiering
no


youtube
hyperlink to youtube recording (incomplete)
no
description: Multif0 extraction

The Multif0 extractions do not have meaningful headers; the first column contains the timestamps, the subsequent columns contain 'voice' columns, without voice leading. By default, the leftmost voice column contains the lowest detected frequency.




Field
Format
Description




0.0
float
timestamp in seconds, time sample rate = 86.1328125


[empty]
float
frequency of the lowest voice at that time stamp, frequency sample rate = 20 cents


..
..
..


[empty]
float
frequency of the highest voice at that time stamp, frequency sample rate = 20 cents




Midi Mulltif0 extraction

The midi_mf0 files contain multif0 extractions, with the frequencies binned into midi tone numbers.




Field
Format
Description




[empty]
integer
row id


timestamp
float
timestamp in seconds, time sample rate = 86.1328125


voice1
integer
midi tone of the lowest voice at that time stamp


..
..
..


voice[n]
integer
midi tone of the highest voice at that time stamp
DOI: 10.21233/t0te-nt12
title: Gumbo Point [23SA4] vertebrate fauna dataset

description: Raw data for the Gumbo Point [23SA4] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.n8q5yd
title: Occurrence Download

description: A dataset containing 113636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Eupetomena macroura (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 113636 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026481-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/yc4x-5629
title: Tamagusuku ostracode surface sample dataset

description: Raw data for the Tamagusuku ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15387115
title: Amelogenin LC-MS/MS data – Infant from Faenza (Italy)

description: Raw mass spectrometry data generated for sex estimation via amelogenin peptide analysis on dental enamel from the Copper Age infant from Faenza (Italy), as presented in Higgins et al. "Reconstructing Life History and Ancestry from poorly preserved skeletal remains: A Bioanthropological study of a Copper Age Infant from Faenza (RA, Italy)", submitted to the Journal of Archaeological Science.
DOI: 10.5281/zenodo.15387116
title: Amelogenin LC-MS/MS data – Infant from Faenza (Italy)

description: Raw mass spectrometry data generated for sex estimation via amelogenin peptide analysis on dental enamel from the Copper Age infant from Faenza (Italy), as presented in Higgins et al. "Reconstructing Life History and Ancestry from poorly preserved skeletal remains: A Bioanthropological study of a Copper Age Infant from Faenza (RA, Italy)", submitted to the Journal of Archaeological Science.
DOI: 10.21233/fswq-3922
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/j578-cs08
title: West Stump Lake diatom surface sample dataset

description: Raw data for the West Stump Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/sdeb-aa35
title: Baia Mare pollen dataset

description: Raw data for the Baia Mare pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15389004
title: jhkjhkjh
DOI: 10.5281/zenodo.15389005
title: jhkjhkjh
DOI: 10.21233/sqa8-5k93
title: LDDsite3142 water chemistry dataset

description: Raw data for the LDDsite3142 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/94gp-0j42
title: Lower Harrison diatom surface sample dataset

description: Raw data for the Lower Harrison diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.qj43pt
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Capparis spinosa L."
 ]
}

 The dataset includes 163 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026503-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/52tg-eq13
title: Frank's Lake pollen surface sample dataset

description: Raw data for the Frank's Lake pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pbc8-c366
title: Tourbière du Mou de Pleure pollen dataset

description: Raw data for the Tourbière du Mou de Pleure pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15454/uueiqn/od83gp
title: results-survey-all-answers-final_final.xlsx

description: :unav
DOI: 10.21233/3zh7-3994
title: Oak Lake ostracode surface sample dataset

description: Raw data for the Oak Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.s7h8kq
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echites agglutinatus Jacq."
 ]
}

 The dataset includes 80 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026504-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15205885
title: Dataset: Microbial Oxidation and Vertical Stratification Regulate Methane Emission in Geothermal and Non-Geothermal Lakes on the Tibetan Plateau

description: This dataset contains the analyzed in the manuscript "Microbial Oxidation and Vertical Stratification Regulate Methane Emission in Geothermal and Non-Geothermal Lakes on the Tibetan Plateau".
DOI: 10.21233/4zcj-zc07
title: Valentine Village [LA 4289] vertebrate fauna dataset

description: Raw data for the Valentine Village [LA 4289] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.