cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8x4bzs
title: Occurrence Download

description: A dataset containing 2610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyaena hyaena (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 2610 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000934-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr9yg8
title: Occurrence Download

description: A dataset containing 682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Beta vulgaris L."
 ]
}

 The dataset includes 682 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000935-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6628223
title: Arabic voice recognition(down syndrome children)
DOI: 10.15468/dl.39fezp
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 340 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000936-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fbc33
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus interparietalis Burt, 1932"
 ]
}

 The dataset includes 744 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000937-250221090833381/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/10819351
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.14908635
title: Polynomial-time solution of Hamiltonian path using dynamic inverse relation of 3D point sets and proof of P=NP

description: P=NP proof step 1
DOI: 10.5281/zenodo.14908636
title: Polynomial-time solution of Hamiltonian path using dynamic inverse relation of 3D point sets and proof of P=NP

description: P=NP proof step 1
DOI: 10.5281/zenodo.14908645
title: A complete algorithm to prove P=NP and its implications

description: P=NP proof step 2
DOI: 10.5281/zenodo.14908646
title: A complete algorithm to prove P=NP and its implications

description: P=NP proof step 2
DOI: 10.23719/1531982
title: Diatom DNA sequence data

description: The raw data consisted of demultiplexed fastq files
pairs (R1.fastq and R2.fastq) per sample accessible on the NCBI Sequences
Read Archive (SRA) under the BioProject accession numbers PRJNA1187555
for experiments E1 and E3 and PRJNA1187576 for E2 and E4.
DOI: 10.23719/1532016
title: NBDPS DBPS and Congenital Heart Defects

description: Utilizing the National Birth Defects Prevention Study, we linked geocoded residential addresses of mothers whose offspring were delivered in 2000-2005 to public water supply (PWS) measurement data for DBPs in eight states. Self-reported water consumption habits and filtration methods at home and work were used to estimate ingestion of DBPs during the prenatal period. We estimated adjusted odds ratios (aORs) and 95% confidence intervals using logistic regression controlling for maternal age, education, body mass index, race/ethnicity, and study site to examine associations between CHDs and estimated DBP concentrations in household tap water, and between CHDs and estimated levels of maternal ingestion of DBPs.
DOI: 10.34740/kaggle/ds/6711915
title: 🇵🇭🏃🏽‍♂️🏃🏻‍♀️The Bull Runner Dream Marathon
DOI: 10.15468/dl.ds2h4f
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus mekisturus Merriam, 1898"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000938-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9xbqc
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "TaxonKey is Sinopodophyllum hexandrum (Royle) T.S.Ying"
 ]
}

 The dataset includes 193 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000939-250221090833381/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.28463360
title: All original data and included literature

description: Includes: DOI/RCT numbers for all original data and literature
DOI: 10.6084/m9.figshare.28463360.v1
title: 所有原始数据和纳入的文献

description: Includes: DOI/RCT numbers for all original data and literature
DOI: 10.15468/dl.mscg52
title: Occurrence Download

description: A dataset containing 64691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "IucnRedListCategory is one of (VU, EN, CR, EW, EX)",
 "OccurrenceStatus is Present",
 "Year 2000-2022"
 ]
}

 The dataset includes 64691 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000940-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmvsv5
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Cypripedium tibeticum King ex Rolfe"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000941-250221090833381/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.28462934
title: Discovering ley activation hotspots in the M2 muscarinic recpetor, ligand binding-induced FTIR difference spectra

description: The M<sub>2</sub> muscarinic receptor (M<sub>2</sub>R) is a prototypical G protein-coupled receptor (GPCR) that serves as a model system for understanding ligand recognition and GPCR activation. Here, using vibrational spectroscopy, we identify the mechanisms governing M<sub>2</sub>R activation by its native agonist, acetylcholine. Combined with mutagenesis, computational chemistry, and organic synthetic chemistry, our analyses found that the precise distance between acetylcholine and Asn404, one of the amino acids constituting the ligand-binding site, is important for M<sub>2</sub>R activation and that the N404Q mutant undergoes partial active state-like conformational changes. We discovered that a water molecule bridging acetylcholine and Asn404 forms a precise and flexible hydrogen bond network, triggering the outward movement of transmembrane helix 6 in M<sub>2</sub>R. Consistent with this observation, disruptions in this hydrogen bond network via chemical modification at the α- or β-position of acetylcholine failed to activate M<sub>2</sub>R. Collectively, our findings pinpoint Asn404 as a critical residue that both senses acetylcholine binding and induces M<sub>2</sub>R activation.
DOI: 10.5281/zenodo.14908670
title: Tempests in the Troposphere: Mapping the Impact of Giant Storms on Jupiter's Deep Atmosphere

description: Data for the paper published in Science Advances with the same title (Tempests in the Troposphere: Mapping the Impact of Giant Storms on Jupiter’s Deep Atmosphere).
DOI: 10.5281/zenodo.14908671
title: Tempests in the Troposphere: Mapping the Impact of Giant Storms on Jupiter's Deep Atmosphere

description: Data for the paper published in Science Advances with the same title (Tempests in the Troposphere: Mapping the Impact of Giant Storms on Jupiter’s Deep Atmosphere).
DOI: 10.15468/dl.eg8889
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Observation, Human Observation)",
 "TaxonKey is Rheum palmatum L."
 ]
}

 The dataset includes 82 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000942-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4u7ats
title: Occurrence Download

description: A dataset containing 14204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 14204 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000943-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr6s9t
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus polius Osgood, 1904"
 ]
}

 The dataset includes 98 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000944-250221090833381/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/10819582
title: PE Header Metadata for Malware Detection
DOI: 10.34740/kaggle/ds/6715808
title: PE Header Metadata for Malware Detection
DOI: 10.15468/dl.hw5cef
title: Occurrence Download

description: A dataset containing 4028 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Checklist of the Vascular Plants of the Republic of Guinea"
 ]
}

 The dataset includes 4028 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000945-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14908764
title: Self Compounded Devanagari Characters

description: Description:







The Self-Compounded Devanagari Characters dataset focuses on a crucial aspect of Optical Character Recognition (OCR) for Devanagari script, essential for preserving ancient scriptures and making them more accessible in the digital age. By leveraging this dataset, researchers can enhance AI systems to recognize complex Devanagari characters accurately. Digitalization also makes handwritten text “web-friendly” and searchable, preserving knowledge that would otherwise risk being lost or damaged.

Purpose of the Dataset

While OCR technology for Devanagari exists, one major gap has been the recognition of compound characters—those consisting of a half letter and a full letter. This dataset specifically addresses this gap, aiding researchers, developers, and academic institutions in creating systems that can accurately detect and digitize these characters, thus preserving not only the text but also the language itself.

 







Download Dataset

 









Dataset Composition

The dataset primarily consists of compound Devanagari characters, which are essential for enhancing OCR systems for Devanagari script. Each entry was carefully cleaned and validated before inclusion in the final dataset. This cleaning process ensures that the dataset is ready for immediate use in research and development of AI models, specifically those focused on Devanagari OCR.

Applications of the Dataset

This dataset has several potential applications:



Academic Research: Aiding studies in linguistics, script recognition, and AI for ancient language preservation.

AI & Machine Learning: Training OCR models to improve recognition of complex Devanagari script.

Language Digitization: Helping in the digital preservation of sacred texts, manuscripts, and other handwritten documents.

Collaborative Development: Open-source software available for expansion and adaptation to other languages, enabling a wide range of future applications.


Future Scope

As the dataset continues to grow, contributions from researchers, developers, and data scientists are encouraged. Future extensions could include additional languages, more complex ligature combinations, and larger sample sizes to create an even more comprehensive resource for OCR development. With the open-source data collection tool, the research community is invited to expand the dataset and collaborate in furthering OCR technology for a wide range of scripts.

Conclusion

The Self-Compounded Devanagari Characters Dataset fills a crucial gap in OCR technology for Devanagari script. Created during a challenging global situation, this project has laid the foundation for the digital preservation of ancient texts. With continued collaboration and contributions, it will serve as an invaluable resource for linguistic and AI research, helping to preserve cultural heritage in the digital age.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14908765
title: Self Compounded Devanagari Characters

description: Description:







The Self-Compounded Devanagari Characters dataset focuses on a crucial aspect of Optical Character Recognition (OCR) for Devanagari script, essential for preserving ancient scriptures and making them more accessible in the digital age. By leveraging this dataset, researchers can enhance AI systems to recognize complex Devanagari characters accurately. Digitalization also makes handwritten text “web-friendly” and searchable, preserving knowledge that would otherwise risk being lost or damaged.

Purpose of the Dataset

While OCR technology for Devanagari exists, one major gap has been the recognition of compound characters—those consisting of a half letter and a full letter. This dataset specifically addresses this gap, aiding researchers, developers, and academic institutions in creating systems that can accurately detect and digitize these characters, thus preserving not only the text but also the language itself.

 







Download Dataset

 









Dataset Composition

The dataset primarily consists of compound Devanagari characters, which are essential for enhancing OCR systems for Devanagari script. Each entry was carefully cleaned and validated before inclusion in the final dataset. This cleaning process ensures that the dataset is ready for immediate use in research and development of AI models, specifically those focused on Devanagari OCR.

Applications of the Dataset

This dataset has several potential applications:



Academic Research: Aiding studies in linguistics, script recognition, and AI for ancient language preservation.

AI & Machine Learning: Training OCR models to improve recognition of complex Devanagari script.

Language Digitization: Helping in the digital preservation of sacred texts, manuscripts, and other handwritten documents.

Collaborative Development: Open-source software available for expansion and adaptation to other languages, enabling a wide range of future applications.


Future Scope

As the dataset continues to grow, contributions from researchers, developers, and data scientists are encouraged. Future extensions could include additional languages, more complex ligature combinations, and larger sample sizes to create an even more comprehensive resource for OCR development. With the open-source data collection tool, the research community is invited to expand the dataset and collaborate in furthering OCR technology for a wide range of scripts.

Conclusion

The Self-Compounded Devanagari Characters Dataset fills a crucial gap in OCR technology for Devanagari script. Created during a challenging global situation, this project has laid the foundation for the digital preservation of ancient texts. With continued collaboration and contributions, it will serve as an invaluable resource for linguistic and AI research, helping to preserve cultural heritage in the digital age.

This dataset is sourced from Kaggle.
DOI: 10.15468/dl.f8zq8h
title: Occurrence Download

description: A dataset containing 21919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (United States of America, Canada)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arbutus menziesii Pursh"
 ]
}

 The dataset includes 21919 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000947-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unn3w9
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset's 8 records were derived from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000946-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14908776
title: AAAAA-ZX/AMHDM-SR: Code for AMHDM-SRGAN
title: AMHDM-SR

description: This code corresponds to the paper "Hybrid-Order Adaptive and Multi-modal Degradation Model for Enhanced Blind Image Super-resolution", published in The Visual Computer
DOI: 10.5281/zenodo.14908777
title: AAAAA-ZX/AMHDM-SR: Code for AMHDM-SRGAN
title: AMHDM-SR

description: This code corresponds to the paper "Hybrid-Order Adaptive and Multi-modal Degradation Model for Enhanced Blind Image Super-resolution", published in The Visual Computer
DOI: 10.3886/e220421v1
title: Research on the Coupled Dynamics and Prediction of Macao's Tourism-Economy-Ecosystem from a Policy Perspective

description: This data source is used as raw data for analyzing the research on the coupling and coordination of tourism industry, regional economy and ecological environment in Macao SAR.
DOI: 10.3886/e220421
title: Research on the Coupled Dynamics and Prediction of Macao's Tourism-Economy-Ecosystem from a Policy Perspective

description: This data source is used as raw data for analyzing the research on the coupling and coordination of tourism industry, regional economy and ecological environment in Macao SAR.
DOI: 10.3886/e220421v1-168743
title: Research on the Coupled Dynamics and Prediction of Macao's Tourism-Economy-Ecosystem from a Policy Perspective

description: This data source is used as raw data for analyzing the research on the coupling and coordination of tourism industry, regional economy and ecological environment in Macao SAR.
DOI: 10.26274/qfy8-hj59
title: Australian Coastline 50K 2024 (NESP MaC 3.17, AIMS)
DOI: 10.15468/dl.bw2dcv
title: Occurrence Download

description: A dataset containing 3679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tagetes erecta L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 3679 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000948-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.557489
title: Occurrence Download

description: A dataset containing 11309 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-6.14572 36.5186,-6.05467 36.5186,-6.05467 36.57758,-6.14572 36.57758,-6.14572 36.5186))"
 ]
}

 The dataset includes 11309 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000949-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dhjyr
title: Occurrence Download

description: A dataset containing 21919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (United States of America, Canada)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arbutus menziesii Pursh"
 ]
}

 The dataset includes 21919 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000950-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmgtbr
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Chinese Taipei, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratum conyzoides L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 2300 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000951-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzqesn
title: Occurrence Download

description: A dataset containing 1635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.14572 36.5186,-6.05467 36.5186,-6.05467 36.57758,-6.14572 36.57758,-6.14572 36.5186))",
 "Month is one of (September, August, July)",
 "Year 1000-2025"
 ]
}

 The dataset includes 1635 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000952-250221090833381/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.28190327
title: Some Data Used in a Paper

description: This data is used in the paper "Ocean Target Electric Field Signal Analysis and Detection via LOFAR Based on Basis Pursuit".
DOI: 10.5281/zenodo.14908705
title: Reconstructing evolution of the western Equatorial Pacific and its thermocline dynamics since the latest Miocene

description: Planktic foraminifera relative abundance data and stable oxygen and carbon isotope data from ODP Site 803D
DOI: 10.5281/zenodo.14908706
title: Reconstructing evolution of the western Equatorial Pacific and its thermocline dynamics since the latest Miocene

description: Planktic foraminifera relative abundance data and stable oxygen and carbon isotope data from ODP Site 803D
DOI: 10.15468/dl.qhhg4f
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tagetes erecta L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 169 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000953-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.