cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30237112.v1
title: Cutting-Edge Hybrid Machine Learning Models for Forecasting the Acid Resistance of Cementitious Composites Incorporating Eggshell and Glass Powders

description: This research introduced advanced hybrid machine learning (ML) techniques to create an efficient model for estimating the compressive strength after acid attack (CSAA). The models were developed based on mixtures containing eggshell powder (ESP) and glass powder (GP). Support vector regression (SVR) was integrated with sophisticated metaheuristic optimization techniques, namely the particle swarm optimization (PSO), firefly algorithm (FFA), and gray wolf optimization (GWO), to develop advanced forecasting models for the CSAA of cementitious composites. Additionally, conventional ML models, including random forest (RF) and decision tree (DT), were utilized for comparison. All three hybrid models demonstrated strong predictive capabilities, with SVR-PSO proving to be the most reliable method, attaining the maximum coefficient of determination (R<sup>2</sup>) score of 0.984, surpassing SVR-GWO (0.981) and SVR-FFA (0.980). In contrast, the RF model recorded an R<sup>2</sup> value of 0.974, while the DT model revealed a significantly reduced R<sup>2</sup> of 0.649. The partial dependence analyses and SHapley Additive exPlanations and partial dependence plots analyses highlighted the substantial impact of various parameters, revealing that compressive strength (CS) was the most influential factor, followed by GP and ESP. CS and GP had positive effects, while ESP negatively impacted CSAA. A user-friendly interface was developed to efficiently predict CSAA. Development of hybrid ML models for predicting CSAA in cementitious composites with ESP and GP.SVR-PSO achieved the highest accuracy (R2 = 0.984), outperforming SVR-GWO (R2 = 0.981) and SVR-FFA (R2 = 0.980).SHAP and partial dependence plots identified CS as the most influential factor, with GP having a positive and ESP a negative effect on CSAA.A user-friendly GUI was developed for rapid prediction. Development of hybrid ML models for predicting CSAA in cementitious composites with ESP and GP. SVR-PSO achieved the highest accuracy (R2 = 0.984), outperforming SVR-GWO (R2 = 0.981) and SVR-FFA (R2 = 0.980). SHAP and partial dependence plots identified CS as the most influential factor, with GP having a positive and ESP a negative effect on CSAA. A user-friendly GUI was developed for rapid prediction.
DOI: 10.5281/zenodo.17469221
title: Podcasts as Data

description: Description:

This dataset provides bag-of-words (BOW) representations of podcast transcripts derived from a large-scale corpus of English-language podcasts. The corpus spans all 19 Apple Podcasts genres and includes over 15,000 episodes from approximately 1,900 shows.

Transcripts were generated using Hugging Face's Distil-Whisper-Large-v3 automatic speech recognition model. Text is lowercased but otherwise unprocessed.

 

Files:



bow_matrix.npz — Sparse bag-of-words matrix (scipy sparse format, documents × terms)

metadata.csv — Podcast title, episode title, and description for each document (row indices correspond to matrix rows)

vocabulary.csv — Terms in the vocabulary (column indices correspond to matrix


 

Usage:







 





from scipy import sparse
import pandas as pd

bow_matrix = sparse.load_npz('bow_matrix.npz')
metadata = pd.read_csv('metadata.csv')
vocabulary = pd.read_csv('vocabulary.csv')['term'].tolist()

Related publication:

For a detailed description of the data collection and transcription process, see:

Verreyen, L. (2025). Podcasts as Data: Building a Dataset for Large-Scale Audio Content Analysis. In T. Arnold, M. Fantoli, & R. Ros (Eds.), Computational Humanities Research 2025 (Vol. 3, pp. 231–248). Anthology of Computers and the Humanities. https://doi.org/10.63744/QgeF94c0fP7D
DOI: 10.5281/zenodo.17469222
title: Podcasts as Data

description: Description:

This dataset provides bag-of-words (BOW) representations of podcast transcripts derived from a large-scale corpus of English-language podcasts. The corpus spans all 19 Apple Podcasts genres and includes over 15,000 episodes from approximately 1,900 shows.

Transcripts were generated using Hugging Face's Distil-Whisper-Large-v3 automatic speech recognition model. Text is lowercased but otherwise unprocessed.

 

Files:



bow_matrix.npz — Sparse bag-of-words matrix (scipy sparse format, documents × terms)

metadata.csv — Podcast title, episode title, and description for each document (row indices correspond to matrix rows)

vocabulary.csv — Terms in the vocabulary (column indices correspond to matrix


 

Usage:







 





from scipy import sparse
import pandas as pd

bow_matrix = sparse.load_npz('bow_matrix.npz')
metadata = pd.read_csv('metadata.csv')
vocabulary = pd.read_csv('vocabulary.csv')['term'].tolist()

Related publication:

For a detailed description of the data collection and transcription process, see:

Verreyen, L. (2025). Podcasts as Data: Building a Dataset for Large-Scale Audio Content Analysis. In T. Arnold, M. Fantoli, & R. Ros (Eds.), Computational Humanities Research 2025 (Vol. 3, pp. 231–248). Anthology of Computers and the Humanities. https://doi.org/10.63744/QgeF94c0fP7D
DOI: 10.17870/bathspa.30774521
title: RPA_Exhibition

description: <i>Random Precision Amendments</i> exhibition: Michael Pennie Gallery, Locksbrook Campus, Bath Spa University | 28 February – 16 March 2025The exhibition was designed specifically for the space of the Michael Pennie Gallery. Original postcard collages were shown alongside poems printed on grey card. Collages that had been gifted were replaced with print copies. A moving image piece was made for the exhibition, using still images and poem voice recordings. A catalogue, based on the RPA book design, was printed and a number of these were available for browsing on the central table. An exhibition text, summarising the research process, was available in A4 pamphlet form. An artist's talk was delivered at the Private View on Thursday 27 February.This item consists of:exhibition designexhibition imagesexhibition catalogueexhibition textRPA video
DOI: 10.17870/bathspa.30774521.v1
title: RPA_Exhibition

description: <i>Random Precision Amendments</i> exhibition: Michael Pennie Gallery, Locksbrook Campus, Bath Spa University | 28 February – 16 March 2025The exhibition was designed specifically for the space of the Michael Pennie Gallery. Original postcard collages were shown alongside poems printed on grey card. Collages that had been gifted were replaced with print copies. A moving image piece was made for the exhibition, using still images and poem voice recordings. A catalogue, based on the RPA book design, was printed and a number of these were available for browsing on the central table. An exhibition text, summarising the research process, was available in A4 pamphlet form. An artist's talk was delivered at the Private View on Thursday 27 February.This item consists of:exhibition designexhibition imagesexhibition catalogueexhibition textRPA video
DOI: 10.18112/openneuro.ds007056.v1.0.0
title: PURSUE P300 Visual Oddball
DOI: 10.15468/dl.yn3mf6
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidasthenia microlepis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044833-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17880534
title: Thesis: Potential Influence of Galactic Dynamics on Human Time Perception

description: IntroductionFor several years, many individuals have reported a strange sensation: time seems to passdifferently. Some describe days that go by faster than before, while others experienceunusually long periods without any clear explanation. This phenomenon, subtle yet recurrent,raises a fundamental question: why is our perception of time no longer the same as it oncewas?Classical psychological explanations—stress, cognitive overload, lifestyle changes—are notalways sufficient. Even under controlled conditions, certain individuals report a subtle butgenuine distortion. This anomaly opens the door to a rarely explored question: what ifexternal physical factors, far beyond our terrestrial environment, contributed to modifying ourintimate perception of time?This thesis explores this possibility. It is based on scientific observations concerning cosmicand galactic variations surrounding the Solar System, and proposes the hypothesis that thesedynamics may influence, in a very weak but non-negligible way, the biological mechanismsresponsible for temporal perception.
description: IntroductionFor several years, many individuals have reported a strange sensation: time seems to passdifferently. Some describe days that go by faster than before, while others experienceunusually long periods without any clear explanation. This phenomenon, subtle yet recurrent,raises a fundamental question: why is our perception of time no longer the same as it oncewas?Classical psychological explanations—stress, cognitive overload, lifestyle changes—are notalways sufficient. Even under controlled conditions, certain individuals report a subtle butgenuine distortion. This anomaly opens the door to a rarely explored question: what ifexternal physical factors, far beyond our terrestrial environment, contributed to modifying ourintimate perception of time?This thesis explores this possibility. It is based on scientific observations concerning cosmicand galactic variations surrounding the Solar System, and proposes the hypothesis that thesedynamics may influence, in a very weak but non-negligible way, the biological mechanismsresponsible for temporal perception.
DOI: 10.25574/30172
title: Chandra X-ray Observatory ObsId 30172

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.5281/zenodo.17880533
title: Thesis: Potential Influence of Galactic Dynamics on Human Time Perception

description: IntroductionFor several years, many individuals have reported a strange sensation: time seems to passdifferently. Some describe days that go by faster than before, while others experienceunusually long periods without any clear explanation. This phenomenon, subtle yet recurrent,raises a fundamental question: why is our perception of time no longer the same as it oncewas?Classical psychological explanations—stress, cognitive overload, lifestyle changes—are notalways sufficient. Even under controlled conditions, certain individuals report a subtle butgenuine distortion. This anomaly opens the door to a rarely explored question: what ifexternal physical factors, far beyond our terrestrial environment, contributed to modifying ourintimate perception of time?This thesis explores this possibility. It is based on scientific observations concerning cosmicand galactic variations surrounding the Solar System, and proposes the hypothesis that thesedynamics may influence, in a very weak but non-negligible way, the biological mechanismsresponsible for temporal perception.
description: IntroductionFor several years, many individuals have reported a strange sensation: time seems to passdifferently. Some describe days that go by faster than before, while others experienceunusually long periods without any clear explanation. This phenomenon, subtle yet recurrent,raises a fundamental question: why is our perception of time no longer the same as it oncewas?Classical psychological explanations—stress, cognitive overload, lifestyle changes—are notalways sufficient. Even under controlled conditions, certain individuals report a subtle butgenuine distortion. This anomaly opens the door to a rarely explored question: what ifexternal physical factors, far beyond our terrestrial environment, contributed to modifying ourintimate perception of time?This thesis explores this possibility. It is based on scientific observations concerning cosmicand galactic variations surrounding the Solar System, and proposes the hypothesis that thesedynamics may influence, in a very weak but non-negligible way, the biological mechanismsresponsible for temporal perception.
DOI: 10.15468/dl.yycb34
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((147.707 -8.402917, 147.635979 -8.408477, 147.5667 -8.425018, 147.500864 -8.452135999999999, 147.440088 -8.489164000000001, 147.385866 -8.535194000000001, 147.339531 -8.589095, 147.302225 -8.649543, 147.27487 -8.715052, 147.258142 -8.784011, 147.252461 -8.854723999999999, 147.257971 -8.92545, 147.274543 -8.994448, 147.301776 -9.060017, 147.339003 -9.12054, 147.385311 -9.174524, 147.439561 -9.220637999999999, 147.500415 -9.257740999999999, 147.566374 -9.284919, 147.635807 -9.301499, 147.707 -9.307072, 147.778193 -9.301499, 147.847626 -9.284919, 147.913585 -9.257740999999999, 147.974439 -9.220637999999999, 148.028689 -9.174524, 148.074997 -9.12054, 148.112224 -9.060017, 148.139457 -8.994448, 148.156029 -8.92545, 148.161539 -8.854723999999999, 148.155858 -8.784011, 148.13913 -8.715052, 148.111775 -8.649543, 148.074469 -8.589095, 148.028134 -8.535194000000001, 147.973912 -8.489164000000001, 147.913136 -8.452135999999999, 147.8473 -8.425018, 147.778021 -8.408477, 147.707 -8.402917))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044834-251120083545085/datasets/export for details.
DOI: 10.21223/1brp8t
title: Dataset for: Genotypic characterization database of 96 genotypes of native potatoes the Cumbal Indigenous Reservation - 2024

description: This database includes genetic information for 96 potato genotypes from the Cumbal Indigenous Reservation. These materials were genotyped using 31,190 SNPs from the Potato SolCAP version 4. All data are presented here without filtering.
DOI: 10.6084/m9.figshare.30846749
title: <b>Origin data of </b><b>Gut microbiota-derived 9-OxoODE impaired hepatic energy metabolism and feed conversion ratio via RAB7A-mediated mitochondrial dysfunction</b>

description: 9-OxoODE
DOI: 10.6084/m9.figshare.30846749.v3
title: <b>Origin data of </b><b>Gut microbiota-derived 9-OxoODE impaired hepatic energy metabolism and feed conversion ratio via RAB7A-mediated mitochondrial dysfunction</b>

description: 9-OxoODE
DOI: 10.6084/m9.figshare.30846749.v2
title: <b>Origin data of </b><b>Gut microbiota-derived 9-OxoODE impaired hepatic energy metabolism and feed conversion ratio via RAB7A-mediated mitochondrial dysfunction</b>

description: 9-OxoODE
DOI: 10.3886/icpsr30701.v14
title: Federal Justice Statistics Program: Paired-Agency Linked Files, 1994-2023
title: Version 14

description: The new FJSRC linking system, implemented with the 2008
FJSRC data, includes sets of agency dyad linked files
created by improved methods of algorithmic matching. There
are both inter-agency linked files and intra-agency dyad
linked files.
The inter-agency matched pair files (or "dyads") permit
the linking of records from two different source agencies
for adjacent stages of federal case processing by providing
a crosswalk of the agency-specific key ID variables for the
two agency data files in the pair. These agency ID
variables (sequential ID numbers) may be used to link
records from one agency's standard analysis file (SAF) to
the next. The system enables users to track individual
defendant-cases through stages of the federal criminal
justice system (from arrest to prosecution, adjudication,
sentencing, and corrections) sequentially, one agency dyad
pair at a time. Each inter-agency paired linked file
relates the sequential record numbers (i.e. SEQ_NUM)
included in the SAFs from one agency/stage to another.
The intra-agency matched pair files (also dyads) permit
the same type of linking as described above except that the
linkages are within the same federal agency. The linkages
are to different stages of case processing withing a
particular agency.
The system covers all data years from 1994-2023.
These data are part of a series designed by the Urban
Institute (Washington, D.C.) and the Bureau of Justice
Statistics. Data and documentation were prepared by the
Urban Institute through 2012. Data from 2013 and on were prepared by Abt Associates.
description: Datasets: 
DS0: Study-Level Files
DS1: EO Matters OUT SAF and Marshals IN SAF
DS2: EO Cases IN SAF and AO Cases IN SAF
DS3: EO Cases OUT EO Magistrate Matters OUT SAFs and AO OUT SAF
DS4: AO Cases OUT SAF and USSC OUT SAF
DS5: BOP IN SAF and USSC OUT SAF
DS6: AO Cases IN SAF and AO Cases OUT SAF
DS7: EO Cases IN SAF and EO Cases Out SAF
DS8: EO Matters OUT SAF and EO Cases IN SAF
DS9: EO Matters OUT SAF and EO Cases OUT SAF
DS10: EO Matters IN SAF and EO Matters OUT SAF
description: Cases in the federal court system.
description: Datasets 1, 2, 3, 4, and 5 are inter-agency matched pair files. Datasets 6, 7, 8, 9 and 10 are intra-agency matched pair files.
DOI: 10.3886/icpsr30701
title: Federal Justice Statistics Program: Paired-Agency Linked Files, 1994-2023
title: Archival Version

description: The new FJSRC linking system, implemented with the 2008
FJSRC data, includes sets of agency dyad linked files
created by improved methods of algorithmic matching. There
are both inter-agency linked files and intra-agency dyad
linked files.
The inter-agency matched pair files (or "dyads") permit
the linking of records from two different source agencies
for adjacent stages of federal case processing by providing
a crosswalk of the agency-specific key ID variables for the
two agency data files in the pair. These agency ID
variables (sequential ID numbers) may be used to link
records from one agency's standard analysis file (SAF) to
the next. The system enables users to track individual
defendant-cases through stages of the federal criminal
justice system (from arrest to prosecution, adjudication,
sentencing, and corrections) sequentially, one agency dyad
pair at a time. Each inter-agency paired linked file
relates the sequential record numbers (i.e. SEQ_NUM)
included in the SAFs from one agency/stage to another.
The intra-agency matched pair files (also dyads) permit
the same type of linking as described above except that the
linkages are within the same federal agency. The linkages
are to different stages of case processing withing a
particular agency.
The system covers all data years from 1994-2023.
These data are part of a series designed by the Urban
Institute (Washington, D.C.) and the Bureau of Justice
Statistics. Data and documentation were prepared by the
Urban Institute through 2012. Data from 2013 and on were prepared by Abt Associates.
description: Datasets: 
DS0: Study-Level Files
DS1: EO Matters OUT SAF and Marshals IN SAF
DS2: EO Cases IN SAF and AO Cases IN SAF
DS3: EO Cases OUT EO Magistrate Matters OUT SAFs and AO OUT SAF
DS4: AO Cases OUT SAF and USSC OUT SAF
DS5: BOP IN SAF and USSC OUT SAF
DS6: AO Cases IN SAF and AO Cases OUT SAF
DS7: EO Cases IN SAF and EO Cases Out SAF
DS8: EO Matters OUT SAF and EO Cases IN SAF
DS9: EO Matters OUT SAF and EO Cases OUT SAF
DS10: EO Matters IN SAF and EO Matters OUT SAF
description: Cases in the federal court system.
description: Datasets 1, 2, 3, 4, and 5 are inter-agency matched pair files. Datasets 6, 7, 8, 9 and 10 are intra-agency matched pair files.
DOI: 10.5281/zenodo.17880344
title: Table 1 in Revision of the genus Macropsobrycon Eigenmann, 1915 (Characidae: Cheirodontinae: Compsurini)

description: Table 1. Morphometric data of Macropsobrycon uruguayanae. SD = standard deviation.
HolotypeNMinMaxMeanSDStandard length (mm)36.112128.040.632.9-Percents of Standard lengthHead length23.512121.327.324.21.1Bony head length20.312119.024.121.70.8Snout-anal fin distance62.912159.265.962.61.5Snout-dorsal fin distance53.412150.356.954.21.3Snout-pelvic fin distance46.612142.449.845.61.3Snout-pectoral fin distance25.412124.529.526.81.0Dorsal-fin base length12.112010.414.212.40.7Anal-fin base length28.912122.728.926.01.4Length of caudal peduncle14.612113.918.616.21.0Depth of caudal peduncle11.71219.713.511.70.8Body depth at dorsal-fin31.812127.335.230.91.4Dorsal-fin length25.611323.330.126.51.2Pelvic-fin length14.712014.017.715.90.8Pectoral-fin length23.312019.525.922.41.3Percents of Head lengthSnout length23.612120.228.623.81.6Upper Jaw length36.612129.338.534.51.8Horizontal orbit diameter37.412130.842.936.42.8Interorbital width25.112123.632.227.41.5
description: Published as part of Jerep, Fernando C. & Malabarba, Luiz R., 2011, Revision of the genus Macropsobrycon Eigenmann, 1915 (Characidae: Cheirodontinae: Compsurini), pp. 302 in Neotropical Ichthyology 9 (2) on page 302, DOI: 10.1590/S1679-62252011005000015, http://zenodo.org/record/5422482
DOI: 10.5281/zenodo.17880345
title: Table 1 in Revision of the genus Macropsobrycon Eigenmann, 1915 (Characidae: Cheirodontinae: Compsurini)

description: Table 1. Morphometric data of Macropsobrycon uruguayanae. SD = standard deviation.
HolotypeNMinMaxMeanSDStandard length (mm)36.112128.040.632.9-Percents of Standard lengthHead length23.512121.327.324.21.1Bony head length20.312119.024.121.70.8Snout-anal fin distance62.912159.265.962.61.5Snout-dorsal fin distance53.412150.356.954.21.3Snout-pelvic fin distance46.612142.449.845.61.3Snout-pectoral fin distance25.412124.529.526.81.0Dorsal-fin base length12.112010.414.212.40.7Anal-fin base length28.912122.728.926.01.4Length of caudal peduncle14.612113.918.616.21.0Depth of caudal peduncle11.71219.713.511.70.8Body depth at dorsal-fin31.812127.335.230.91.4Dorsal-fin length25.611323.330.126.51.2Pelvic-fin length14.712014.017.715.90.8Pectoral-fin length23.312019.525.922.41.3Percents of Head lengthSnout length23.612120.228.623.81.6Upper Jaw length36.612129.338.534.51.8Horizontal orbit diameter37.412130.842.936.42.8Interorbital width25.112123.632.227.41.5
description: Published as part of Jerep, Fernando C. & Malabarba, Luiz R., 2011, Revision of the genus Macropsobrycon Eigenmann, 1915 (Characidae: Cheirodontinae: Compsurini), pp. 302 in Neotropical Ichthyology 9 (2) on page 302, DOI: 10.1590/S1679-62252011005000015, http://zenodo.org/record/5422482
DOI: 10.15468/dl.9jywh5
title: Occurrence Download

description: A dataset containing 19766862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 1978-2025"
 ]
}

 The dataset includes 19766862 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044757-251120083545085/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.30849815
title: Differences in leaf herbivory rates of laurel and beech trees in subtropical evergreen forest are explained by leaf functional traits

description: This study reveals different growth and defense strategies in co-dominant tree species of subtropical evergreen broad-leaved forests. Laurels prioritize resource allocation to leaf defense, while beeches favor growth, contributing to their coexistence and potentially stabilizing ecosystem functioning. These findings advance our understanding of plant–herbivore interactions and adaptive strategies in species-rich forest ecosystems.