cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26193/a9vexa
title: Australian Election Study, 2025
title: AES Voter Study, 2025

description: The 2025 AES is the fourteenth in a series of surveys beginning in 1987, timed to coincide with
Australian Federal elections. The series builds on the 1967, 1969, and 1979 Australian Political
Attitudes Surveys. The AES aims to provide a long-term perspective on the political attitudes and
behaviours of Australians and investigate the changing social bases of Australian politics as the
economy and society modernise and change character. In addition to these long-term goals, the AES
examines the specific political issues prevalent in the 2025 Federal election and assesses their
importance in determining the election result.
The 2025 AES is the sixth in the series to provide the option of completing the survey via hardcopy or
online. Address-based sampling (A-BS) continues to be used to recruit members of the Australian
public to participate in a sequential mixed-mode survey (push-to-web followed by hard copy
completion). The principal sample frame used in the most recent iterations of the survey is the
Geocoded National Address File (G-NAF). Since 2016, completers from the previous AES who
agreed to take part in future election studies formed the ‘AES panel’ sample and are invited to
participate in the subsequent AES. Members of the panel were originally recruited using a combination
of G-NAF and Australian Electoral Commission (AEC) electoral roll data. Any new panellists who
joined in 2019 or later were all recruited from the G-NAF sample frame.
Consistent with the approach used in 2022; to improve the representation of young people in the 2025
AES, online opt-in panels were used to boost online completion of people aged 18 to 34 years.
&lt;br&gt;&lt;br&gt;

&lt;b&gt;User Notice:&lt;/b&gt; Please contact ADA to request access to the restricted postcode and demographic variables.
description: Australian Election Study
description: SPSS, 25.0
description: Stata, 12.0
description: SAS, 9.4
DOI: 10.5281/zenodo.18013366
title: SIASIS - Extended Data: Synthetic Dataset and System Documentation

description: Extended data for the research article: "Smart School Attendance: Virtual Solution to Optimize Registration and Parental Monitoring in Secondary Level Schools in Imperial, Cañete"

This repository contains:- PostgreSQL database schema documentation- Complete synthetic dataset for system demonstration (SQL script)- Requirements analysis and system documentation- Institutional authorization letter from I.E. N° 20935 Asunción 8 in Spanish and English

IMPORTANT: All student, teacher, and guardian data are FICTIONAL, generated specifically for demonstration purposes to protect privacy of the actual educational community.

Related publication: F1000Research (Manuscript ID: 174659) - In press
DOI: 10.5281/zenodo.18027788
title: SIASIS - Extended Data: Synthetic Dataset and System Documentation

description: Extended data for the research article: "Smart School Attendance: Virtual Solution to Optimize Registration and Parental Monitoring in Secondary Level Schools in Imperial, Cañete"

This repository contains:- PostgreSQL database schema documentation- Complete synthetic dataset for system demonstration (SQL script)- Requirements analysis and system documentation- Institutional authorization letter from I.E. N° 20935 Asunción 8 in Spanish and English

IMPORTANT: All student, teacher, and guardian data are FICTIONAL, generated specifically for demonstration purposes to protect privacy of the actual educational community.

Related publication: F1000Research (Manuscript ID: 174659) - In press
DOI: 10.15468/dl.ah9b3a
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Begonia daxinensis",
 "Year 1970-2025"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063537-251120083545085/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.30937958
title: BactoGenopH

description: <b>Machine learning-based linking of bacterial genomes to optimal growth pH</b>
DOI: 10.6084/m9.figshare.30937958.v1
title: BactoGenopH

description: <b>Machine learning-based linking of bacterial genomes to optimal growth pH</b>
DOI: 10.15468/dl.hfr625
title: Occurrence Download

description: A dataset containing 831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Kalidium"
 ]
}

 The dataset includes 831 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063538-251120083545085/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.30937796
title: dALPS GWAS summary statistics

description: We established a robust, automated deep learning workflow (dALPS) to overcome the limitations of conventional glymphatic function assessment. By analyzing over 65,000 individuals, we validated the high reliability of dALPS and uncovered specific genetic and molecular pathways influencing brain fluid dynamics. Our results highlight that while a healthy lifestyle supports glymphatic function, reduced dALPS is linked to various CNS disorders; crucially, we identified that antidepressants partially mediate the risk of glymphatic impairment in depression. These findings underscore the potential of dALPS as a scalable biomarker for predicting disease risk and understanding the interplay between genetic and environmental factors in brain health.
DOI: 10.6084/m9.figshare.30937796.v1
title: dALPS GWAS summary statistics

description: We established a robust, automated deep learning workflow (dALPS) to overcome the limitations of conventional glymphatic function assessment. By analyzing over 65,000 individuals, we validated the high reliability of dALPS and uncovered specific genetic and molecular pathways influencing brain fluid dynamics. Our results highlight that while a healthy lifestyle supports glymphatic function, reduced dALPS is linked to various CNS disorders; crucially, we identified that antidepressants partially mediate the risk of glymphatic impairment in depression. These findings underscore the potential of dALPS as a scalable biomarker for predicting disease risk and understanding the interplay between genetic and environmental factors in brain health.
DOI: 10.5281/zenodo.18027810
title: Atomistic Insights into EUV Photoresist Photolysis via Full Temporal Dynamics

description: PWmat input files corresponding to article “Atomistic Insights into EUV Photoresist Photolysis via Full Temporal Dynamics”
DOI: 10.6084/m9.figshare.30937985
title: Haibei_sampling_info

description: This document describes the sample warming treatment and soil depth information.
DOI: 10.6084/m9.figshare.30937985.v1
title: Haibei_sampling_info

description: This document describes the sample warming treatment and soil depth information.
DOI: 10.5281/zenodo.18027809
title: Atomistic Insights into EUV Photoresist Photolysis via Full Temporal Dynamics

description: PWmat input files corresponding to article “Atomistic Insights into EUV Photoresist Photolysis via Full Temporal Dynamics”
DOI: 10.15468/dl.7z7536
title: Occurrence Download

description: A dataset listing the 4829 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 4829 records were derived from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063535-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e241523
title: International Trade In Goods and Services

description: Trade in goods and services between U.S. residents and residents of 
other countries each month. U.S. sales are exports and U.S. purchases 
are imports. The difference between the exports and imports is the trade
 balance. <br>
description: Exports and imports of trade goods between US residents and residents of other countries.
DOI: 10.3886/e241523v1
title: International Trade In Goods and Services

description: Trade in goods and services between U.S. residents and residents of 
other countries each month. U.S. sales are exports and U.S. purchases 
are imports. The difference between the exports and imports is the trade
 balance. <br>
description: Exports and imports of trade goods between US residents and residents of other countries.
DOI: 10.21227/9jat-wv80
title: "Synthetic DFF Dataset -- CARLA 0.10"

description: "Conventional algorithms for depth estimation gener-ally use uncompressed images for training, testing, and validation.Additionally, the increased prominence of synthetic datasetshas, in part, driven significant increases in their size, makingcompression increasingly valuable as a means to reduce storagerequirements. In this work, we apply the DCT-based JPEGand the Wavelet-based JPEG-2000 compression algorithms, witheleven levels of varying compression, to synthetic datasets gener-ated by the CARLA Driving Simulator. Using relatively simpledepth estimation algorithms, which rely on DFF (Depth fromFocus) and DFR (Depth from Reference), this study quan-titatively evaluates the effects of lossy compression on theirperformance. We find that these algorithms are insensitive tolow levels of lossy compression in comparison to the lossless-compressed baselines. Additionally, the JPEG-2000 compressionalgorithm outperforms the more widely used JPEG algorithm forequal compression ratios, indicating that datasets for use in DFFand DFR applications can be compressed using the JPEG-2000algorithm and achieve order-of-magnitude reductions in datasetsize while maintaining comparable accuracy."
DOI: 10.15468/dl.5n55ey
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Budorcas tibetana"
 ]
}

 The dataset includes 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063540-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18028263
title: PPL di Rumah Quran Tarbiyyah Shahibul Quran

description: Dokumen ini merupakan hasil laporan dari kegiatan PPL di Rumah Quran Tarbiyyah Shahibul Quran (TSQ)
DOI: 10.5281/zenodo.18028262
title: PPL di Rumah Quran Tarbiyyah Shahibul Quran

description: Dokumen ini merupakan hasil laporan dari kegiatan PPL di Rumah Quran Tarbiyyah Shahibul Quran (TSQ)
DOI: 10.15468/dl.www9yy
title: Occurrence Download

description: A dataset containing 1796766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tachycineta thalassina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1796766 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063532-251120083545085/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/14263316
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.g78feu
title: Occurrence Download

description: A dataset containing 89896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 89896 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063536-251120083545085/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.30937955
title: Genome annotation of the telomere-to-telomere gapless assembly of allotetraploid Brassica napus cv. SC4

description: This dataset provides the genome annotation of Brassica napus L. cv. SC4 based on a telomere-to-telomere (T2T) gapless genome assembly.<br>
DOI: 10.6084/m9.figshare.30937955.v1
title: Genome annotation of the telomere-to-telomere gapless assembly of allotetraploid Brassica napus cv. SC4

description: This dataset provides the genome annotation of Brassica napus L. cv. SC4 based on a telomere-to-telomere (T2T) gapless genome assembly.<br>
DOI: 10.15468/dl.mw3rm3
title: Occurrence Download

description: A dataset containing 296126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.13_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 296126 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063531-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15803369
title: Development and Analysis of Back EMF During User Interaction Dataset for Wired In-Ear Earphones

description: This dataset contains time-domain feature extractions derived from back electromotive force (back-EMF) signals generated by wired in-ear earphones during three user interaction activities: putting on, taking off, and scratching.

The signals were recorded using a non-invasive analog signal acquisition circuit without the use of additional external sensors. Feature extraction was performed directly in the time domain, making the dataset suitable for lightweight signal processing and machine learning applications.

Dataset Structure





File format: xlsx




Number of samples: 350 samples per interaction




Number of classes: 3




Class labels: putting_on, taking_off, scratching




Features per sample: 24 time-domain features



Extracted Time-Domain Features





Mean




Standard Deviation




First Quartile (Q1)




Second Quartile / Median (Q2)




Third Quartile (Q3)




Maximum Value




Minimum Value




Amplitude Range




Number of Prominent Peaks




Number of Prominent Valleys




Zero Crossings




Zero Crossing Rate




Maximum Distance Between Prominent Peaks




Minimum Distance Between Prominent Valleys




Skewness




Kurtosis




Mean Prominent Peak Value




Mean Prominent Valley Value




Mean Peak Width




Mean Valley Width




Root Mean Square (RMS)




Variance




Signal Energy




Signal Entropy



Intended Use

This dataset can be used for:





Exploratory analysis of passive audio-based signals




Benchmarking classification algorithms




Developing machine learning models for human-device interaction based on earphone back-EMF signals



Notes on Data Availability

The dataset published on Zenodo represents a curated subset of the full dataset, selected to ensure balanced representation across activities and manageable file size. For access to the complete dataset, please contact the corresponding author at: andriana.kusuma.ft@um.ac.id

Related Publication

This dataset is associated with the following publication:Development and Analysis of Back EMF During User Interaction Dataset for Wired In-Ear Earphones(https://doi.org/10.1109/ICEEIE66203.2025.11251752)
DOI: 10.5281/zenodo.15803370
title: Development and Analysis of Back EMF During User Interaction Dataset for Wired In-Ear Earphones

description: This dataset contains time-domain feature extractions derived from back electromotive force (back-EMF) signals generated by wired in-ear earphones during three user interaction activities: putting on, taking off, and scratching.

The signals were recorded using a non-invasive analog signal acquisition circuit without the use of additional external sensors. Feature extraction was performed directly in the time domain, making the dataset suitable for lightweight signal processing and machine learning applications.

Dataset Structure





File format: xlsx




Number of samples: 350 samples per interaction




Number of classes: 3




Class labels: putting_on, taking_off, scratching




Features per sample: 24 time-domain features



Extracted Time-Domain Features





Mean




Standard Deviation




First Quartile (Q1)




Second Quartile / Median (Q2)




Third Quartile (Q3)




Maximum Value




Minimum Value




Amplitude Range




Number of Prominent Peaks




Number of Prominent Valleys




Zero Crossings




Zero Crossing Rate




Maximum Distance Between Prominent Peaks




Minimum Distance Between Prominent Valleys




Skewness




Kurtosis




Mean Prominent Peak Value




Mean Prominent Valley Value




Mean Peak Width




Mean Valley Width




Root Mean Square (RMS)




Variance




Signal Energy




Signal Entropy



Intended Use

This dataset can be used for:





Exploratory analysis of passive audio-based signals




Benchmarking classification algorithms




Developing machine learning models for human-device interaction based on earphone back-EMF signals



Notes on Data Availability

The dataset published on Zenodo represents a curated subset of the full dataset, selected to ensure balanced representation across activities and manageable file size. For access to the complete dataset, please contact the corresponding author at: andriana.kusuma.ft@um.ac.id

Related Publication

This dataset is associated with the following publication:Development and Analysis of Back EMF During User Interaction Dataset for Wired In-Ear Earphones(https://doi.org/10.1109/ICEEIE66203.2025.11251752)
DOI: 10.15468/dl.kkshq4
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((78.85251 49.02825,89.75342 49.02825,89.75342 54.7798,84.10019 55.71381,78.85251 54.7798,78.85251 49.02825))",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus"
 ]
}

 The dataset includes 931 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063543-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdmrs4
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Begonia ornithophylla",
 "Year 1970-2025"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063545-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89mawx
title: Occurrence Download

description: A dataset containing 1314102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -0.914722",
 "DecimalLatitude is less than or equal to 4.085278",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1314102 records from 495 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063539-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5862zc
title: Occurrence Download

description: A dataset containing 113509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myocastor coypus (Molina, 1782))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 113509 records from 1251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074144-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ii5vmj
title: Occurrence Download

description: A dataset containing 1239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistothorus apolinari Chapman, 1914"
 ]
}

 The dataset includes 1239 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016709-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm72c3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doliocarpus herrerae J.Pérez"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154944-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.968t2z
title: Occurrence Download

description: A dataset containing 8030 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 {
 "or" : [
 "Country is Zambia",
 "Country is Uganda",
 "Country is Zimbabwe",
 "Country is Angola",
 "Country is Botswana",
 "Country is Namibia",
 "Country is Niger",
 "Country is Tanzania, United Republic of",
 "Country is South Africa",
 "Country is Kenya"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Giraffa Brisson, 1762"
 ]
}

 The dataset includes 8030 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244070-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6kpq2
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Borago pygmaea (DC.) Chater & Greuter",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 346 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074142-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsiatl
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clavelina gigantea Van Name, 1921",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006462-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkqqu7
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Falco deiroleucus Temminck, 1825"
 ]
}

 The dataset includes 80 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276755-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.