cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17649175
title: Dataset for "A Smart Manufacturing Approach to Enhancing the Reliability of Visual Inspection in the Automotive Industry"

description: Open Data

The dataset supporting the findings of this study is openly available in the Zenodo repository under the title “A Smart Manufacturing Approach to Enhancing the Reliability of Visual Inspection in the Automotive Industry”, DOI: 10.5281/zenodo.17649175.

The dataset includes anonymized production-inspection records collected during the smart-manufacturing improvement initiative in the automotive industry. Specifically, it comprises monthly data on loading time, downtime, retry time, operating time, total output, cycle time, and calculated OEE components (Availability, Performance, and Quality rates). It also contains sensor capability index (Cpk) measurements reflecting the accuracy and stability of the camera-based visual inspection system before and after the intervention. All data have been fully anonymized and do not contain product codes, machine identifiers, operational timestamps, financial indicators, or any personally identifiable information (PII). The dataset is strictly technical in nature and is statistically consistent with the reliability and performance trends reported in the study, thereby enabling transparency, reproducibility, and methodological validation while adhering to ethical and corporate data-governance requirements.

Open Contributorship

This research was conducted collaboratively by the author team from the Industrial Engineering Department, BINUS Online Learning, Bina Nusantara University, following the Open Contributorship principles and the CRediT taxonomy.

Andryan Nugraha contributed to Conceptualization, Problem Formulation, Methodology, Data Curation, and Formal Analysis, including OEE computation, downtime evaluation, sensor capability assessment (Cpk), and pre and post improvement studies, ensuring data consistency, completeness, and anonymization for open-data publication.

Hubertus Davy Yulianto provided Supervision, Methodological Validation, and Review of Analytical Rigor, ensuring alignment with industrial engineering principles, visual inspection system design, and applied manufacturing research standards.

Irma Ratna Avianti was responsible for Technical Review, Quality Assurance, Refinement of Interpretation, and Writing, including Review and Editing, guiding discussion formulation, validation of inspection system improvements, and adherence to academic writing and publication standards.

The author team collectively handled Visualization, Manuscript Finalization, and Dataset Documentation, ensuring coherent presentation of results, figures, and supplementary materials for Zenodo publication.

All authors have read and approved the final manuscript and take full responsibility for its accuracy, integrity, and scholarly quality. The authors endorse the Open Contributorship framework and commit to making associated datasets, analytical templates, and methodological resources openly accessible to support replication, industrial application, and wider academic dissemination.
DOI: 10.15468/dl.xtt35x
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Melanotus fusciceps"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045336-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17637351
title: Synthetic Sequences Supporting "Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation"

description: This dataset contains synthetic genomic sequences used in the study“Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation”(bioRxiv preprint: https://doi.org/10.1101/2025.11.09.687505).

🔹 Synthetic Sequences

To create a diverse training set for the study, we generated 1,000 synthetic individuals using the sim1000G framework (Dimitromanolakis et al., BMC Bioinformatics 20(1), 26, 2019).sim1000G simulates recombination and mutation based on 1000 Genomes haplotypes, producing realistic but non-identifiable variant structures.

All sequences included in this dataset:





are synthetic and derived solely from simulated genotypes,




are uppercase-normalized (A/C/G/T/N),




can be used to reproduce the methodological components of the study (model training, data augmentation, preference-based fine-tuning).



Because identifiable human genomic sequences cannot be redistributed, only these synthetic sequences are publicly released.

🔹 Real Sequences

This dataset does not contain real haplotype sequences from the GEUVADIS cohort (E-GEUV-1).However, users may reconstruct the personalized 196,608 bp windows (±98,304 bp around TSS), following Huang et al. (2023), by extracting the corresponding hg19 reference intervals and substituting sample-specific variants.

A full, scripted reconstruction pipeline is available at:

https://github.com/pacifiic/augment-finetune-genomics

The original GEUVADIS WGS and RNA-seq data for 421 phased individuals remain accessible through the European Bioinformatics Institute (EBI):

https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-GEUV-1

For preprocessing, phasing, and window-construction details, please consult the GitHub repository and the reference paper.
DOI: 10.5281/zenodo.17637352
title: Synthetic Sequences Supporting "Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation"

description: This dataset contains synthetic genomic sequences used in the study“Preference-Based Fine-Tuning of Genomic Sequence Models for Personal Expression Prediction with Data Augmentation”(bioRxiv preprint: https://doi.org/10.1101/2025.11.09.687505).

🔹 Synthetic Sequences

To create a diverse training set for the study, we generated 1,000 synthetic individuals using the sim1000G framework (Dimitromanolakis et al., BMC Bioinformatics 20(1), 26, 2019).sim1000G simulates recombination and mutation based on 1000 Genomes haplotypes, producing realistic but non-identifiable variant structures.

All sequences included in this dataset:





are synthetic and derived solely from simulated genotypes,




are uppercase-normalized (A/C/G/T/N),




can be used to reproduce the methodological components of the study (model training, data augmentation, preference-based fine-tuning).



Because identifiable human genomic sequences cannot be redistributed, only these synthetic sequences are publicly released.

🔹 Real Sequences

This dataset does not contain real haplotype sequences from the GEUVADIS cohort (E-GEUV-1).However, users may reconstruct the personalized 196,608 bp windows (±98,304 bp around TSS), following Huang et al. (2023), by extracting the corresponding hg19 reference intervals and substituting sample-specific variants.

A full, scripted reconstruction pipeline is available at:

https://github.com/pacifiic/augment-finetune-genomics

The original GEUVADIS WGS and RNA-seq data for 421 phased individuals remain accessible through the European Bioinformatics Institute (EBI):

https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-GEUV-1

For preprocessing, phasing, and window-construction details, please consult the GitHub repository and the reference paper.
DOI: 10.5281/zenodo.17650731
title: Characterizing Security Bug Report Quality Through Human Evaluation - Supplementary Material
DOI: 10.15468/dl.672vcr
title: Occurrence Download

description: A dataset containing 4873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus"
 ]
}

 The dataset includes 4873 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045337-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17877/tudodata-2025-mdcu78zd
title: Curation checklist for datasets published in TUDOdata

description: The publication workflow for datasets in TUDOdata consists of four main steps, wereas 1)-3) may be repeated multiple times:
&lt;ol&gt;
&lt;li&gt;preparation of the dataset&lt;/li&gt;
&lt;li&gt;submission for review&lt;/li&gt;
&lt;li&gt;curation&lt;/li&gt;
&lt;li&gt;publication&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;
While steps 1, 2, and 4 are carried out by the researchers, step 3 is performed by the TUDOdata team. During the curation step, data curators thoroughly examine the submitted dataset and assess it with respect to the FAIR principles.
&lt;/p&gt;
&lt;p&gt;
To facilitate this curation for both curators and researchers, this dataset contains a checklist with key aspects datasets need to satisfy prior to publication in the repository TUDOdata.
&lt;/p&gt;
&lt;p&gt;
The dataset contains the checklist along with detailed explanations, available in both Markdown (.md) and PDF formats.
&lt;/p&gt;
DOI: 10.15468/dl.jgh47m
title: Occurrence Download

description: A dataset containing 52178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saltator atripennis",
 "Country is Colombia"
 ]
}

 The dataset includes 52178 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045277-251025141854904/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/13792845
title: Market Trend Analysis Dataset
DOI: 10.15468/dl.fk2nzn
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is Record species dataset covering Cheshire, Halton, Warrington & Wirral",
 "TaxonKey is Triturus cristatus",
 "Year 2021-2025"
 ]
}

 The dataset includes 453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045339-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yy3ru
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zygaena purpuralis",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 341 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045343-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvsaqs
title: Occurrence Download

description: A dataset containing 6411751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 6411751 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045306-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/zwkjtp
title: Replication Data for: Ideology and Revolution in Civil Wars: The “Marxist Paradox”

description: Replication Data for "Ideology and Revolution in Civil Wars: The “Marxist Paradox”"
description: <strong>APSR Data Editors' Note:</strong> 
Version 2 of the dataset reflects the corrections made as part of the corrigendum: 
doi: 10.1017/S0003055425101275.

APSR Data Editors have reviewed included documentation for completeness and have successfully reproduced all figures and tables in the article using the code and data included in this deposit. Data editors do not review results presented in appendices or supplementary materials.
DOI: 10.15468/dl.wfgm39
title: Occurrence Download

description: A dataset containing 20537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia americana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20537 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045340-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn7nk3
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.1688 28.34913, -112.0188 28.34913, -112.0188 28.49913, -112.1688 28.49913, -112.1688 28.34913))"
 ]
}

 The dataset includes 189 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045345-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxwahq
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stipa orientalis"
 ]
}

 The dataset includes 718 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045341-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suczkg
title: Occurrence Download

description: A dataset containing 2047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.74442176392131",
 "DecimalLongitude is less than 6.7474813171057",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2047 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045344-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/yjdmucmycjkbm09g
title: Measurement data of impact tightening process of M10-20 bolted joints

description: M10-M20 Schraubenverbindungen wurden mit einem Schlagschrauber auf 2 Stufen mit mehreren Nüssen schlagend angezogen. Die Verläufe von Vorspannkraft, Kopf- und Gewindereibmoment wurden hochfrequent gemessen und im Verlauf analysiert. Im Post-Processing wurde der Verlauf der Gewinde- und Kopfreibungszahlen für jeden Schlag des Schlagschraubers berechnet.
description: M10-M20 bolted joints were tightened using an impact wrench with two power levels and different sockets. The progression of preload, head and thread friction torque was measured at high frequency and analysed. In post-processing, the progression of the coefficients of thread and head friction was calculated for each impact of the impact wrench.
description: Die Daten wurden aufgezeichnet und anschließend gefiltert. Aus den gefilterten Versuchsdaten der Vorspannkraft und der Kopf- und Gewindemomente wurde für jeden einzelnen Schlag ein Kopf- und Gewindereibungszahl berechnet. Für eine bessere Übersichtlichkeit wurde zusätzlich eine Tabelle mit Vorspannkräften und Reibungszahlen bei spezifischen Vorspannkraftniveaus erstellt.
DOI: 10.15468/dl.g3n3by
title: Occurrence Download

description: A dataset containing 226033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbena officinalis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 226033 records from 2243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045294-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/0gygz-cj579
title: Lp02 ΔpilQ

description: Raw data files of Lp02 ΔpilQ
description: <strong>Tilt Series Date:</strong> 2017-03-02</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Materials Sciences F30</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor, also manually processed</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Nicholas Cianciotto at Northwestern University Medical SchoolData collected and processed by Debnath Ghosal</p>
<strong>Sample Preparation:</strong> 4 grids were frozen for Lp02 at OD= 2.8 Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-02-10/rawdata/</p>delta_Q0010.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-02-10/rawdata/delta_Q0010.mrc"
        > <i class="download icon"></i> Download </a></p>

        delta_Q0010_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-03-02-10/3dimage_82732/delta_Q0010_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/55ry5-0ff97
title: Coxiella_ Verocells_28dpi

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Coxiella cells purified from infected Vero cells.
description: <strong>Tilt Series Date:</strong> 2017-10-19</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Heinzen. Data collected and processed by Debnath Ghosal and Mohammed Kaplan using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Refer to Heinzen lab.</p>
<strong>Sample Preparation:</strong> Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-10-19-70/rawdata/</p>Cb_vero_20171019b0067.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-10-19-70/rawdata/Cb_vero_20171019b0067.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_20171019b0067_part61_3.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-10-19-70/3dimage_89597/Cb_vero_20171019b0067_part61_3.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.zz65eu
title: Occurrence Download

description: A dataset containing 171116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunnus albacares"
 ]
}

 The dataset includes 171116 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048450-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/z9ate-ptn81
title: V. cholerae RT4236 (stationary)

description: Classical strain with ctxA deletionCell harbors pMT5 plasmid (inducible toxT)
description: <strong>Tilt Series Date:</strong> 2015-07-27</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O395-N1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> SIRT</p>
<strong>Collaborators and Roles:</strong> Strain from Ronald K. Taylor</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Overnight cultures of Vibrio cholerae O395 NI pMT5 grown in LB pH 6.5, 1 mM IPTG and 100 ug/mL ampicilin. Take the sedimented cell clumps.</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 2.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-07-27-10/3dimage_73227/</p>20150727_AK16_10010_SIRT_2K.rec,  Reconstruction (Pixel Size 0.0 nm), 13.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-07-27-10/3dimage_73227/20150727_AK16_10010_SIRT_2K.rec"
        > <i class="download icon"></i> Download </a></p>

        20150727_AK16_10010.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-07-27-10/rawdata/20150727_AK16_10010.mrc"
        > <i class="download icon"></i> Download </a></p>