cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17785798
title: Data from "Westerly winds prompted an anomalous southward migration of Pacific saury (Cololabis saira)"

description: This dataset includes mooring data,night-light fishing vessel data and remote sensing data:sea surface temperature (SST), sea level anomaly (SLA), chlorophyll-a concentration (CHL), and wind data were obtained from the Copernicus Marine Environment Monitoring Service (CMEMS) using the following products, respectively: https://doi.org/10.48670/moi-00169, https://doi.org/10.48670/moi-00148, https://doi.org/10.48670/moi-00281 and https://doi.org/10.48670/moi-00185.

Finite-size Lyapunov exponent (FSLE) data was provided by the Archiving, Validation and Interpretation of Satellite Oceanographic Data (AVISO) service at https://doi.org/10.24400/527896/a01-2022.002.
DOI: 10.15468/dl.rzhe9f
title: Occurrence Download

description: A dataset containing 29603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Encelia farinosa"
 ]
}

 The dataset includes 29603 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023876-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.way898
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diospyros forrestii, Diospyros hainanensis, Diospyros hexamera, Diospyros howii, Diospyros inflata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 106 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023877-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/ycz3xo
title: PAN-00149232 - smelt waste or lump of copper-alloy

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00149232&lt;/p&gt;
description: Modified: 2025-06-30T15:27:13+02:00
DOI: 10.5281/zenodo.17797681
title: JoNewsFake dataset

description: JoNewsFake is a large-scale, multi-level Arabic news dataset curated from the official Facebook pages of 12 verified Jordanian news agencies. The dataset was collected, filtered, pre-processed, and annotated as part of a doctoral research project focused on multi-level Arabic fake news detection. It contains 50,000 posts after cleaning and filtering, representing one of the most comprehensive Arabic news datasets available for misinformation research.

The dataset provides three layers of annotation:





Main Category (22 classes)Broad thematic categories such as Politics, Economy, Health, Education, Culture, Government, etc.




Sub-Category (75+ classes)Fine-grained hierarchical labels capturing the specific domain of each news post.




Fake / Real Label (Binary)Posts are classified as Fake or Real based on a structured multi-stage annotation workflow.



Each news post includes:





Cleaned Arabic text (after normalization, noise removal, and preprocessing)




Part-of-Speech (POS) tags




Emotional indicators (26 features)




AraBERT-based semantic embeddings (768-dim) — not included directly due to size, but can be reproduced using provided scripts




Metadata fields such as post ID, source agency, and timestamp (when available)





🟦 Data Collection and Annotation

Data were collected using the Facepager tool from 12 major Jordanian news outlets.The initial 134,160 posts were filtered according to:





Minimum text length




Removal of non-Arabic content




Removal of duplicated or low-information posts




Exclusion of advertisements or irrelevant material



A rigorous six-person annotation protocol was used:





Four trained annotators labeled the data.




Two domain experts validated the labels.




Disagreements were resolved through consensus.




Inter-annotator reliability was measured during pilot rounds.



🟦 Pre-processing Pipeline

The dataset underwent an extensive Arabic-specific pre-processing stage, including:





Normalization (Hamza, Alef forms, Ta Marbuta → Ha)




Tokenization




Removal of diacritics, emojis, URLs, and noise




POS tagging using Farasa / StanfordNLP




Generation of emotional indicators using dictionary-based mapping



This hybrid representation (text + POS + emotions) enables both classical ML and deep learning applications.

🟦 Intended Use

This dataset is designed for research in:





Arabic fake news detection




Multi-label and multi-level text classification




Hierarchical NLP modeling




Representation learning for Arabic




Evaluation of machine learning, deep learning, and transformer-based models



It has already been used in experiments comparing ensemble models (Random Forest, Extra Trees, XGBoost, LightGBM) and deep learning models (CNN-BiLSTM, CNN-BiGRU, Transformer Encoder).
DOI: 10.5281/zenodo.17797682
title: JoNewsFake dataset

description: JoNewsFake is a large-scale, multi-level Arabic news dataset curated from the official Facebook pages of 12 verified Jordanian news agencies. The dataset was collected, filtered, pre-processed, and annotated as part of a doctoral research project focused on multi-level Arabic fake news detection. It contains 50,000 posts after cleaning and filtering, representing one of the most comprehensive Arabic news datasets available for misinformation research.

The dataset provides three layers of annotation:





Main Category (22 classes)Broad thematic categories such as Politics, Economy, Health, Education, Culture, Government, etc.




Sub-Category (75+ classes)Fine-grained hierarchical labels capturing the specific domain of each news post.




Fake / Real Label (Binary)Posts are classified as Fake or Real based on a structured multi-stage annotation workflow.



Each news post includes:





Cleaned Arabic text (after normalization, noise removal, and preprocessing)




Part-of-Speech (POS) tags




Emotional indicators (26 features)




AraBERT-based semantic embeddings (768-dim) — not included directly due to size, but can be reproduced using provided scripts




Metadata fields such as post ID, source agency, and timestamp (when available)





🟦 Data Collection and Annotation

Data were collected using the Facepager tool from 12 major Jordanian news outlets.The initial 134,160 posts were filtered according to:





Minimum text length




Removal of non-Arabic content




Removal of duplicated or low-information posts




Exclusion of advertisements or irrelevant material



A rigorous six-person annotation protocol was used:





Four trained annotators labeled the data.




Two domain experts validated the labels.




Disagreements were resolved through consensus.




Inter-annotator reliability was measured during pilot rounds.



🟦 Pre-processing Pipeline

The dataset underwent an extensive Arabic-specific pre-processing stage, including:





Normalization (Hamza, Alef forms, Ta Marbuta → Ha)




Tokenization




Removal of diacritics, emojis, URLs, and noise




POS tagging using Farasa / StanfordNLP




Generation of emotional indicators using dictionary-based mapping



This hybrid representation (text + POS + emotions) enables both classical ML and deep learning applications.

🟦 Intended Use

This dataset is designed for research in:





Arabic fake news detection




Multi-label and multi-level text classification




Hierarchical NLP modeling




Representation learning for Arabic




Evaluation of machine learning, deep learning, and transformer-based models



It has already been used in experiments comparing ensemble models (Random Forest, Extra Trees, XGBoost, LightGBM) and deep learning models (CNN-BiLSTM, CNN-BiGRU, Transformer Encoder).
DOI: 10.17026/ar/i1fgik
title: PAN-00104908 - coin/coin-related, Constantinus I (306-337), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104908&lt;/p&gt;
description: Modified: 2025-05-06T16:38:07+02:00
DOI: 10.15468/dl.t8xqzb
title: Occurrence Download

description: A dataset containing 9721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bradypus variegatus"
 ]
}

 The dataset includes 9721 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023878-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17797747
title: KCoEM(Korean Color Emotion Mapping) Dataset

description: The KCoEM (Korean Color–Emotion Mapping) dataset is a structured color–emotion mapping resource that aligns the 44 emotion categories of KOTE with their corresponding Korean and English emotion labels. Rather than arbitrarily assigning colors to emotion categories, the dataset was systematically constructed through an extensive review and integration of empirical findings from prior studies in color psychology and emotion–color association research. The resulting dataset consists of a total of 235 emotion–color mapping entries, providing a grounded reference for linking linguistic representations of emotion with their visual color attributes.
DOI: 10.5281/zenodo.17797748
title: KCoEM(Korean Color Emotion Mapping) Dataset

description: The KCoEM (Korean Color–Emotion Mapping) dataset is a structured color–emotion mapping resource that aligns the 44 emotion categories of KOTE with their corresponding Korean and English emotion labels. Rather than arbitrarily assigning colors to emotion categories, the dataset was systematically constructed through an extensive review and integration of empirical findings from prior studies in color psychology and emotion–color association research. The resulting dataset consists of a total of 235 emotion–color mapping entries, providing a grounded reference for linking linguistic representations of emotion with their visual color attributes.
DOI: 10.15468/dl.pqbrk8
title: Occurrence Download

description: A dataset containing 4921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diospyros japonica, Diospyros kaki, Diospyros kerrii, Diospyros kintungensis, Diospyros kotoensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4921 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023879-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.32834
title: Proximity-labeling mass spectrometry results for Toxoplasma UBL5
title: Proximity-labeling mass spectrometry results for Toxoplasma UBL5

description: Tachyzoites were cultured in 10 cm dishes and biotin was added to the medium. After 48 h, cells were harvested and lysed. The lysate was subjected to streptavidin magnetic-bead pull-down. A small aliquot of the enriched proteins was analyzed by Western blot; the remaining gel slice containing the target band was excised and sent to BGI for LC-MS/MS analysis.
description: Tachyzoites were cultured in 10 cm dishes and biotin was added to the medium. After 48 h, cells were harvested and lysed. The lysate was subjected to streptavidin magnetic-bead pull-down. A small aliquot of the enriched proteins was analyzed by Western blot; the remaining gel slice containing the target band was excised and sent to BGI for LC-MS/MS analysis.
DOI: 10.57760/sciencedb.32838
title: 弓形虫全长转录组测序
title: 弓形虫全长转录组测序

description: After knocking out SART1 of Toxoplasma gondii, third-generation full-length transcriptome sequencing was performed 
description: After knocking out SART1 of Toxoplasma gondii, third-generation full-length transcriptome sequencing was performed
DOI: 10.17026/ar/c2kgmz
title: PAN-00107130 - coin/coin-related, provincie, dubbele stuiver

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00107130&lt;/p&gt;
description: Modified: 2025-07-29T09:52:00+02:00
DOI: 10.15468/dl.vak9u6
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thrigmopoeus truculentus"
 ]
}

 The dataset includes 87 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023881-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puxd5s
title: Occurrence Download

description: A dataset containing 7033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diospyros longibracteata, Diospyros lotus, Diospyros maclurei, Diospyros maritima, Diospyros metcalfii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7033 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023883-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xncatz
title: Occurrence Download

description: A dataset containing 4260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platanus orientalis"
 ]
}

 The dataset includes 4260 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023882-251120083545085/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/13967635
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.bkxsdp
title: Occurrence Download

description: A dataset containing 17856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Encelia californica"
 ]
}

 The dataset includes 17856 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/rjpo3p
title: PAN-00142526 - three-disc spur

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00142526&lt;/p&gt;
description: Modified: 2025-05-13T16:02:57+02:00
DOI: 10.15468/dl.4nbq7z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca elata",
 "Year 1990-2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023885-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/xwsjj6
title: PAN-00015570 - hinge of segmented armour type Kalkriese

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00015570&lt;/p&gt;
description: Modified: 2025-08-21T16:20:10+02:00
DOI: 10.15468/dl.2kjjyw
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diospyros miaoshanica, Diospyros morrisiana, Diospyros nitida, Diospyros oldhamii, Diospyros oleifera)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2000 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023886-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3c5ke
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "StateProvince is one of (四川, 四川省)",
 "TaxonKey is Galinsoga parviflora"
 ]
}

 The dataset includes 316 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023887-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xna-55eg
title: PAN-00140478 - terra sigillata plate type Drag. 31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00140478&lt;/p&gt;
description: Modified: 2025-09-11T12:26:35+02:00
DOI: 10.15468/dl.kkg538
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trochalopteron yersini"
 ]
}

 The dataset includes 114 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023888-251120083545085/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.30414978
title: Is There a Universal Dimensionality Reduction Technique for Feature Extraction? – A Comparative Analysis

description: The demand for high-dimensional data processing in machine learning has led to the increasing use of dimensionality reduction techniques. These techniques aim to extract the most important information from high-dimensional data, reducing it to a lower-dimensional representation that can be easily processed by machine learning algorithms. However, with the availability of a multitude of dimensionality reduction techniques and heterogeneous datasets, it can be challenging for researchers to select the most appropriate one for their specific application. This research conducts a comparative analysis to identify the distinctive behaviors of various dimensionality reduction techniques under different data situations. The state-of-the-art linear and non-linear dimensionality reduction techniques are analyzed. The study also analyses the performance of each technique in terms of its ability to extract meaningful, interpretable, and low-dimensional features from high-dimensional data. The analysis results provide insights into each technique's strengths and weaknesses and highlight the most appropriate technique when dealing with heterogeneous datasets for different machine-learning tasks. We use multiple tabular, text, and image datasets to validate our findings.
DOI: 10.6084/m9.figshare.30414978.v1
title: Is There a Universal Dimensionality Reduction Technique for Feature Extraction? – A Comparative Analysis

description: The demand for high-dimensional data processing in machine learning has led to the increasing use of dimensionality reduction techniques. These techniques aim to extract the most important information from high-dimensional data, reducing it to a lower-dimensional representation that can be easily processed by machine learning algorithms. However, with the availability of a multitude of dimensionality reduction techniques and heterogeneous datasets, it can be challenging for researchers to select the most appropriate one for their specific application. This research conducts a comparative analysis to identify the distinctive behaviors of various dimensionality reduction techniques under different data situations. The state-of-the-art linear and non-linear dimensionality reduction techniques are analyzed. The study also analyses the performance of each technique in terms of its ability to extract meaningful, interpretable, and low-dimensional features from high-dimensional data. The analysis results provide insights into each technique's strengths and weaknesses and highlight the most appropriate technique when dealing with heterogeneous datasets for different machine-learning tasks. We use multiple tabular, text, and image datasets to validate our findings.
DOI: 10.5281/zenodo.17797901
title: Seven new species of the Rhodocybe–Clitopilus clade (Entolomataceae, Basidiomycota) from Northeast China
DOI: 10.5281/zenodo.17797902
title: Seven new species of the Rhodocybe–Clitopilus clade (Entolomataceae, Basidiomycota) from Northeast China
DOI: 10.17026/ar/pthdit
title: PAN-00108989 - coin/coin-related, stad, florijn van 28 stuiver

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00108989&lt;/p&gt;
description: Modified: 2025-07-29T10:54:16+02:00
DOI: 10.15468/dl.bt4jkt
title: Occurrence Download

description: A dataset containing 1037 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diospyros blancoi, Diospyros potingensis, Diospyros punctilimba, Diospyros reticulinervis, Diospyros rhombifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1037 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023889-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a23j3934r
title: SOnic Detection And Ranging (SODAR) measurements taken at Summit Station, Greenland, 2025

description: This data set contains measurements from a sodar that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This sodar operates at 2100 Hz and points vertically. Reflectivity measurements from the system are used to characterize gradients in the lower atmosphere that provide information on the boundary layer depth. Data files including the relative backscatter. Detailed information on file parameters and other aspects of the dataset are included in the netCDF header information for each file. The sodar is owned by the National Oceanic and Atmospheric Administration's Earth System Research Laboratory. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5281/zenodo.17797933
title: Result of Monitoring The Quality of Leachate in The Landfill Sumompo by The City Environmental Department Manado 2024

description: This internship report describes the results of leachate quality monitoring at the Sumompo Final Processing Site (TPA Sumompo) conducted by the Environmental Agency of Manado City in 2024. Leachate samples taken from the inlet and outlet of the treatment system were analyzed for pH, TSS, BOD₅, COD, Total Nitrogen, Mercury, and Cadmium, with all parameters found to be below the limits set by Permen LHK No. 59/2016. The results also showed reductions in pollutant concentrations after treatment, indicating that the leachate processing system is functioning effectively, although COD and Total Nitrogen levels—despite meeting standards—remain relatively high and require further optimization. Overall, the internship provided practical experience in environmental monitoring and demonstrated that leachate management at TPA Sumompo remains compliant with environmental quality regulations.