cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5113235
title: Synthetic 4D STEM dataset based on a SrTiO3 supercell with two additional artificial spatial frequencies

description: This dataset allows to investigate phase contrast methods for 4D scanning transmission electron microscopy, such as ptychography. A synthetic dataset has been simulated, based on an SrTiO<sub>3</sub> unit cell as a starting point. Then, a five by five super cell was created by repetition. Two artificial spatial frequencies were added to the phase grating, one with a wavelength of a single unit cell and one with a wavelength of the super cell. To eliminate dynamical scattering, a 4D-STEM simulation with 20 × 20 scan points per unit cell was performed using only one slice with a thickness of one unit cell along electron beam direction [001]. <strong>Files</strong> <em>conf_01.mat</em>: HDF5 file with the phase grating. <em>Data extraction and plot of the phase grating.ipynb</em>: Jupyter notebook showing how to access the phase grating file and plot the data. <em>slice_00001_thick_1.9525_nm_blocksz100.raw</em>: Simulated 4D STEM dataset as a raw binary file. Shape 100 x 100 x 596 x 596, dtype float32. <em>ssb-example.ipynb</em>: Jupyter notebook showing first moment analysis and ptychography with the dataset. <strong>Simulation parameters</strong> Scan points: 100x100 Field of view: 1.9525nm Convergence angle: 23mrad, 136 px Acceleration voltage: 300 kV Center: (297, 297) Rotation angle: 0°
description: Achim Strauch and Knut Müller-Caspary were supported by funding from the Initiative and Network Fund of the Helmholtz Association (Germany) under contract VH-NG-1317 (moreSTEM project). Knut Müller-Caspary acknowledges support from Helmholtz within the project "Ptychography 4.0" under contract ZT-I-0025.
description: {"references": ["Live processing of momentum-resolved STEM data for first moment imaging and ptychography. Achim Strauch, Dieter Weber, Alexander Clausen, Anastasiia Lesnichaia, Arya Bangun, Benjamin M\u00e4rz, Feng Jiao Lyu, Qing Chen, Andreas Rosenauer, Rafal Dunin-Borkowski, Knut M\u00fcller-Caspary. arXiv:2106.13457", "Weber, Dieter, Lesnichaia, Anastasiia, Strauch, Achim, Clausen, Alexander, Bangun, Arya, Melnyk, Oleh, \u2026 M\u00fcller-Caspary, Knut. (2021, July 1). Ptychography 4.0: 0.1.0 (Version 0.1.0). Zenodo. http://doi.org/10.5281/zenodo.5055127", "Clausen, Alexander, Weber, Dieter, Ruzaeva, Karina, Migunov, Vadim, Baburajan, Anand, Bahuleyan, Abijith, \u2026 Dunin-Borkowski, Rafal E. (2021, July 8). LiberTEM/LiberTEM: 0.7.1 (Version 0.7.1). Zenodo. http://doi.org/10.5281/zenodo.5083032"]}
DOI: 10.15468/dl.9nh5bx
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sus ahoenobarbus Huet, 1888"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020055-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4b39da65-2eef-4e05-8583-25f8850cf932.v1
title: Dataset underlying the publication: "MoGAAAP: A modular Snakemake workflow for automated genome assembly and annotation with quality assessment"

description: Supplementary data belonging to "MoGAAAP: A modular Snakemake workflow for automated genome assembly and annotation with quality assessment". For demonstrating the applicability of the MoGAAAP workflow to different eukaryotic species, we ran it for <em>L. serriola</em>, <em>A. thaliana</em>, grapevine and human example datasets. For reproducibility, we provide a README with the details on the input files of the pipeline runs and the HTML reports that were produced by the pipeline.
DOI: 10.4121/4b39da65-2eef-4e05-8583-25f8850cf932.v2
title: Dataset underlying the publication: "MoGAAAP: A modular Snakemake workflow for automated genome assembly and annotation with quality assessment"

description: Supplementary data belonging to "MoGAAAP: A modular Snakemake workflow for automated genome assembly and annotation with quality assessment". For demonstrating the applicability of the MoGAAAP workflow to different eukaryotic species, we ran it for <em>L. serriola</em>, <em>A. thaliana</em>, grapevine and human example datasets. For reproducibility, we provide a README with the details on the input files of the pipeline runs and the HTML reports that were produced by the pipeline.
DOI: 10.15468/dl.5mnvrp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sus ahoenobarbus Huet, 1888"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020054-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jva.28957568
title: Supplement Number 1

description: Supplement Information
DOI: 10.60893/figshare.jva.28957568.v1
title: Supplement Number 1

description: Supplement Information
DOI: 10.5281/zenodo.10465169
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.10615301
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.10777307
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.10926566
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.11112892
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.11473325
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.12653181
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.13208737
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.13683810
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.13890153
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.14034823
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.14275380
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.14598933
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.14801633
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.14966048
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.15148411
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.15336415
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.15592857
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
DOI: 10.5281/zenodo.7115763
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7148774
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7381735
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7395758
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7503404
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7605080
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7698411
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7798570
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.7896118
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.8003026
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.8113404
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.8214868
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.8315170
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.5281/zenodo.8406402
title: Open Germline Receptor Database (OGRDB) Archive

description: Periodic archive of the OGRDB database
description: {"references": ["10.1093/nar/gkz822"]}
DOI: 10.60893/figshare.pof.28912196
title: Suppment Number 1

description: Details of single cavity generation, droplet size distribution, details of image processing and calculation of autocorrelation function from images.
DOI: 10.60893/figshare.pof.28912196.v1
title: Suppment Number 1

description: Details of single cavity generation, droplet size distribution, details of image processing and calculation of autocorrelation function from images.
DOI: 10.15468/dl.skzy22
title: Occurrence Download

description: A dataset containing 4660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Ondatra zibethicus (Linnaeus, 1766)"
 ]
}

 The dataset includes 4660 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020057-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaz8zn
title: Occurrence Download

description: A dataset containing 3388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Switzerland, Austria, Luxembourg, Liechtenstein)",
 "Month is one of (June, August, July, September, October, November, December)",
 "TaxonKey is Fallopia japonica (Houtt.) Ronse Decr.",
 "Year 2023-2023"
 ]
}

 The dataset includes 3388 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020056-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t2s5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Aristida congesta",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020060-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ppprb4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Vachellia karroo",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020058-250525065834625/datasets/export for details.
DOI: 10.15468/dl.b7u7at
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Agrostis lachnantha",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020059-250525065834625/datasets/export for details.
DOI: 10.15468/dl.atk7m4
title: Occurrence Download

description: A dataset containing 1701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ptilostemon chamaepeuce (L.) Less."
 ]
}

 The dataset includes 1701 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020061-250525065834625/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.29196935
title: Annotations STEREO-A HI data

description: Supplementary material for Bauer et al. (2025). Includes annotations for CME fronts in the form of a .json file for STEREO-A HI data for the time period between January and August 2010, as well as January to May 2012.
DOI: 10.6084/m9.figshare.29196935.v1
title: Annotations STEREO-A HI data

description: Supplementary material for Bauer et al. (2025). Includes annotations for CME fronts in the form of a .json file for STEREO-A HI data for the time period between January and August 2010, as well as January to May 2012.
DOI: 10.5281/zenodo.15592390
title: Spanish Fake News Dataset

description: Spanish Fake News Dataset

This dataset contains a structured and annotated collection of false news items in Spanish (Castilian), gathered and processed for academic research on misinformation.

Dataset Scope

The dataset represents most of the recorded false news messages and their variations up to 01.02.2021.

Content Description

The dataset includes samples of false information in various formats:



News articles and headlines

Tweets and Facebook/Instagram/Telegram posts

YouTube video captions

WhatsApp text and voice message transcripts

Transcribed video/audio fragments with false claims

Fake government documents

Captions from photos and memes

Text extracted from images using OCR


Only Spanish (Castilian) texts were used, excluding regional variants (e.g., Catalan, Basque, Galician) for consistency.

Sources

The data was collected from the following verified fact-checking initiatives:



Maldito Bulo

Newtral

AFP Factual


Fact-checkers from these organizations provide detailed articles identifying and explaining falsehoods, often including:



General context of the event

Quotes or links to false claims

Analysis and explanation of why the claims are false

Verified information or corrections


Collection Method

The dataset was built using both manual extraction (e.g., identifying and quoting false statements) and automated parsing:



MyNews service: an archive of Spanish mass media

Custom scripts: for parsing and extracting structured data

OCR tools: for extracting text from images (e.g., memes and screenshots)


 

Fields Description






Column Name



Description





Topic



The thematic category of the news item (e.g., Politics, Health, COVID-19, Crime). Normalized and translated to English.





Link source



URL to the original news piece, fact-check report, or source of the claim. Invalid links were removed.





Media



The platform or outlet where the false claim appeared (e.g., Facebook, YouTube, WhatsApp). Normalized for consistent spelling and language.





Date



Publication or verification date of the news item, in YYYY-MM-DD format.





Author



(Optional) Author of the news or platform source, if available. May be empty.





Headlines



Title or summary of the news item or article containing the false information.





Fake statement



Quoted false claim or misinformation as cited in the verification article.





 

⚠️ Notes



The dataset was preprocessed to remove duplicates, invalid links, and non-textual clutter.

Field values were normalized to support multilingual and cross-platform analysis.

Only Castilian Spanish was retained for consistency and clarity.


📚 License & Use

This dataset is intended for non-commercial academic and research purposes. Please cite the original fact-checking organizations and this dataset if used in publications or analysis.
DOI: 10.5281/zenodo.15592391
title: Spanish Fake News Dataset

description: Spanish Fake News Dataset

This dataset contains a structured and annotated collection of false news items in Spanish (Castilian), gathered and processed for academic research on misinformation.

Dataset Scope

The dataset represents most of the recorded false news messages and their variations up to 01.02.2021.

Content Description

The dataset includes samples of false information in various formats:



News articles and headlines

Tweets and Facebook/Instagram/Telegram posts

YouTube video captions

WhatsApp text and voice message transcripts

Transcribed video/audio fragments with false claims

Fake government documents

Captions from photos and memes

Text extracted from images using OCR


Only Spanish (Castilian) texts were used, excluding regional variants (e.g., Catalan, Basque, Galician) for consistency.

Sources

The data was collected from the following verified fact-checking initiatives:



Maldito Bulo

Newtral

AFP Factual


Fact-checkers from these organizations provide detailed articles identifying and explaining falsehoods, often including:



General context of the event

Quotes or links to false claims

Analysis and explanation of why the claims are false

Verified information or corrections


Collection Method

The dataset was built using both manual extraction (e.g., identifying and quoting false statements) and automated parsing:



MyNews service: an archive of Spanish mass media

Custom scripts: for parsing and extracting structured data

OCR tools: for extracting text from images (e.g., memes and screenshots)


 

Fields Description






Column Name



Description





Topic



The thematic category of the news item (e.g., Politics, Health, COVID-19, Crime). Normalized and translated to English.





Link source



URL to the original news piece, fact-check report, or source of the claim. Invalid links were removed.





Media



The platform or outlet where the false claim appeared (e.g., Facebook, YouTube, WhatsApp). Normalized for consistent spelling and language.





Date



Publication or verification date of the news item, in YYYY-MM-DD format.





Author



(Optional) Author of the news or platform source, if available. May be empty.





Headlines



Title or summary of the news item or article containing the false information.





Fake statement



Quoted false claim or misinformation as cited in the verification article.





 

⚠️ Notes



The dataset was preprocessed to remove duplicates, invalid links, and non-textual clutter.

Field values were normalized to support multilingual and cross-platform analysis.

Only Castilian Spanish was retained for consistency and clarity.


📚 License & Use

This dataset is intended for non-commercial academic and research purposes. Please cite the original fact-checking organizations and this dataset if used in publications or analysis.
DOI: 10.5281/zenodo.15592844
title: Table 1 in Redescription of the Thailand blindsnake " Ramphotyphlops ozakiae Wallach in Niyomwan 1999, " nomen nudum, as Ramphotyphlops mollyozakiae n. sp. (Serpentes: Typhlopidae)

description: Table 1. Data presented on Ramphotyphlops ozakiae in NIYOMWAN (1999).
PageDescription_____________________________________________________________________________vlisting of Ramphotyphlops ozakiae as part of Thai fauna13–14 listing of material examined (R. ozakiae, FMNH 180003–180007)24listing of FMNH specimens, including R. ozakiae paratype25listing of R. ozakiae27distribution map with plot of type locality32list of species with description of R. ozakiae Wallach, 199835Fig. 4-3D: color photo of R. ozakiae, FMNH 18000737Fig. 4 -5D: line drawings of three head views of R. ozakiae (FMNH 180007)40Fig. 4 -8H: line drawing of venter of tail of R. ozakiae (FMNH 180007)41Tab. 4-1: measurements and scale counts of R. ozakiae (FMNH 180007)42Tab. 4-2: proportions of one specimen of R. ozakiae (FMNH 180007)45listing of R. ozakiae in discussion of BW/SVL, HW/SVL, and RW/HW46listing of R. ozakiae in discussion of RW/SVL, TL/SVL, and TW/SVL47Tab. 4-3: proportions of one specimen of R. ozakiae (FMNH 180007)57identification key couplet with R. albiceps and R. ozakiae; Fig. 6 showing snout dorsumand tail venter color pattern and Fig. 7 showing dorsal head shields [reproduced inEnglish in NIYOMWAN et al., 2001: 51, couplet 6 and figs. 9–10]68bibliographic citation of the Wallach Ph.D. thesis (WALLACH, 1998)79App. 1: material examined with only one R. ozakiae (FMNH 180007) listed96App. 2: total length of material examined with R. ozakiae (FMNH 180007) at 227 mm107App. 3: scale counts of material examined with R. ozakiae (FMNH 180007) with 317+ 6 + 3 = 326 total middorsals118App. 4: head shields of R. ozakiae (FMNH 180007)130App. 5: further description of head shields of R. ozakiae (FMNH 180007)140App. 6: twelve measurements of FMNH 180007 (FMNH 180007)
description: Published as part of Wallach, Van, 2020, Redescription of the Thailand blindsnake " Ramphotyphlops ozakiae Wallach in Niyomwan 1999, " nomen nudum, as Ramphotyphlops mollyozakiae n. sp. (Serpentes: Typhlopidae), pp. 1 in Pod @ rcis 11 (2) on page 1, DOI: 10.5281/zenodo.15592746