cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18361780
title: THE DEVELOPMENT OF ARABIC LINGUISTICS DURING THE ABBASID ERA

description: This article examines the “Golden Age” of Arabic linguistics under the Abbasid Caliphate (750–1258). It traces how Arabic evolved from a primarily religious and literary medium into a universal language of science. The study highlights the scholarly rivalry between the Basra and Kufa grammatical schools—especially their debates over qiyās (analogy) and samʿ (attested usage/auditory transmission)—and shows how these methodological differences contributed to the codification of linguistic norms. The article also analyzes the foundational role of Sibawayh’s Al-Kitāb and al-Khalīl ibn Aḥmad’s Kitāb al-ʿAyn in systematizing Arabic syntax, phonetics, and lexicography. Finally, it evaluates the Translation Movement at the House of Wisdom (Bayt al-Ḥikma) and explains how the integration of Greek, Persian, and Indian learning enriched Arabic vocabulary and helped establish a broad scientific terminology.
DOI: 10.5281/zenodo.18361779
title: THE DEVELOPMENT OF ARABIC LINGUISTICS DURING THE ABBASID ERA

description: This article examines the “Golden Age” of Arabic linguistics under the Abbasid Caliphate (750–1258). It traces how Arabic evolved from a primarily religious and literary medium into a universal language of science. The study highlights the scholarly rivalry between the Basra and Kufa grammatical schools—especially their debates over qiyās (analogy) and samʿ (attested usage/auditory transmission)—and shows how these methodological differences contributed to the codification of linguistic norms. The article also analyzes the foundational role of Sibawayh’s Al-Kitāb and al-Khalīl ibn Aḥmad’s Kitāb al-ʿAyn in systematizing Arabic syntax, phonetics, and lexicography. Finally, it evaluates the Translation Movement at the House of Wisdom (Bayt al-Ḥikma) and explains how the integration of Greek, Persian, and Indian learning enriched Arabic vocabulary and helped establish a broad scientific terminology.
DOI: 10.15468/dl.dnej9q
title: Occurrence Download

description: A dataset containing 32577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 2024-2024"
 ]
}

 The dataset includes 32577 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009635-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm4rf7
title: Occurrence Download

description: A dataset containing 64614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paeonia"
 ]
}

 The dataset includes 64614 records from 813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009580-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h37422
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa willmottiae",
 "Year 1970-2000"
 ]
}

 The dataset includes 89 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009637-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tya5d
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sphaerodactylus gilvitorques"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009638-260120142942310/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.31144663
title: BPs concentrations in groundwater of Sichuan and Xizang

description: Samples were collected from Sichuan Basin (SC) and Tibetan Plateau regions (XZ) of China during the dry and wet seasons of 2022 to investigate the distribution characteristics, source, and ecological risks of 14 bisphenol analogues (BPs). The data shows the concentration levels of 14 BPs at different sampling sites and across seasons.
DOI: 10.6084/m9.figshare.31144663.v1
title: BPs concentrations in groundwater of Sichuan and Xizang

description: Samples were collected from Sichuan Basin (SC) and Tibetan Plateau regions (XZ) of China during the dry and wet seasons of 2022 to investigate the distribution characteristics, source, and ecological risks of 14 bisphenol analogues (BPs). The data shows the concentration levels of 14 BPs at different sampling sites and across seasons.
DOI: 10.5519/qd.x63e8jka
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1291 records)
DOI: 10.5281/zenodo.18361789
title: [DATA] - Albumin-to-Globulin Ratio and Inflammatory Markers for Predicting Disease Severity in Emergency Department Patients Presenting with Flank Pain

description: [DATA] - Albumin-to-Globulin Ratio and Inflammatory Markers for Predicting Disease Severity in Emergency Department Patients Presenting with Flank Pain
DOI: 10.5281/zenodo.18361804
title: BEYOND THE TEST: HOW TECHNOLOGY IS REVOLUTIONIZING ASSESSMENT IN EDUCATION

description: This article explores the current state, advantages, and challenges of technology-enhanced assessment in education. The paper analyzes the impact of technological assessment tools on education quality, digital assessment methods, and their effectiveness through a comprehensive literature review.
DOI: 10.5281/zenodo.18361805
title: BEYOND THE TEST: HOW TECHNOLOGY IS REVOLUTIONIZING ASSESSMENT IN EDUCATION

description: This article explores the current state, advantages, and challenges of technology-enhanced assessment in education. The paper analyzes the impact of technological assessment tools on education quality, digital assessment methods, and their effectiveness through a comprehensive literature review.
DOI: 10.5281/zenodo.18361788
title: [DATA] - Albumin-to-Globulin Ratio and Inflammatory Markers for Predicting Disease Severity in Emergency Department Patients Presenting with Flank Pain

description: [DATA] - Albumin-to-Globulin Ratio and Inflammatory Markers for Predicting Disease Severity in Emergency Department Patients Presenting with Flank Pain
DOI: 10.15468/dl.qpgknc
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Rosa willmottiae glandulifera",
 "Year 1970-2000"
 ]
}

 The dataset includes 41 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009639-260120142942310/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.31144573
title: FlexMS Benchmark Datasets: Mass Spectrum Prediction for Metabolomics

description: This dataset accompanies the paper "FlexMS: A Flexible Framework for Benchmarking Deep Learning-based Mass Spectrum Prediction Tools in Metabolomics."OverviewFlexMS is a flexible framework for constructing and evaluating deep learning models for tandem mass spectrum (MS/MS) prediction. This repository contains the preprocessed benchmark datasets used in the paper.Dataset ContentsThe archive contains four benchmark datasets in FlexMS-compatible CSV format:1. GNPS (Global Natural Products Social Molecular Networking)<b>Size</b>: ~322,000 spectra from ~16,000 molecules<b>Splits</b>: Random and Scaffold<b>Files</b>: train.csv, valid.csv, test.csv2. MassBank<b>Size</b>: ~62,000 spectra from ~4,000 molecules<b>Split</b>: Scaffold<b>Files</b>: train.csv, valid.csv, test.csv3. MassSpecGym<b>Size</b>: ~231,000 spectra from ~29,000 molecules<b>Split</b>: Predefined by original dataset<b>Files</b>: MassSpecGym_train.csv, MassSpecGym_valid.csv, MassSpecGym_test.csv4. MIST-CANOPUS (NPLIB1)<b>Size</b>: ~8,000 spectra from ~7,000 molecules<b>Splits</b>: 3-fold cross-validation<b>Files</b>: split_0/, split_1/, split_2/ (each with train, val, test)Data FormatEach CSV file contains the following columns:<code>spec_id</code>: Spectrum identifier<code>mol_id</code>: Molecule identifier<code>smiles</code>: Molecular SMILES string<code>inchikey_s</code>: InChIKey<code>formula</code>: Molecular formula<code>mw</code>: Molecular weight<code>prec_type</code>: Precursor ion type (e.g., [M+H]+)<code>inst_type</code>: Instrument type (e.g., QTOF, Orbitrap)<code>ion_mode</code>: Ionization mode (positive/negative)<code>ace</code>/<code>nce</code>: Absolute/Normalized collision energy<code>prec_mz</code>: Precursor m/z<code>peaks</code>: List of (m/z, intensity) pairsUsageExtract the archive and use with the FlexMS framework:<pre><code>tar</code><code> </code><code>-xzvf</code><code> FlexMS_data.tar.gz</code></pre>
DOI: 10.6084/m9.figshare.31144573.v2
title: FlexMS Benchmark Datasets: Mass Spectrum Prediction for Metabolomics

description: This dataset accompanies the paper "FlexMS: A Flexible Framework for Benchmarking Deep Learning-based Mass Spectrum Prediction Tools in Metabolomics."OverviewFlexMS is a flexible framework for constructing and evaluating deep learning models for tandem mass spectrum (MS/MS) prediction. This repository contains the preprocessed benchmark datasets used in the paper.Dataset ContentsThe archive contains four benchmark datasets in FlexMS-compatible CSV format:1. GNPS (Global Natural Products Social Molecular Networking)<b>Size</b>: ~322,000 spectra from ~16,000 molecules<b>Splits</b>: Random and Scaffold<b>Files</b>: train.csv, valid.csv, test.csv2. MassBank<b>Size</b>: ~62,000 spectra from ~4,000 molecules<b>Split</b>: Scaffold<b>Files</b>: train.csv, valid.csv, test.csv3. MassSpecGym<b>Size</b>: ~231,000 spectra from ~29,000 molecules<b>Split</b>: Predefined by original dataset<b>Files</b>: MassSpecGym_train.csv, MassSpecGym_valid.csv, MassSpecGym_test.csv4. MIST-CANOPUS (NPLIB1)<b>Size</b>: ~8,000 spectra from ~7,000 molecules<b>Splits</b>: 3-fold cross-validation<b>Files</b>: split_0/, split_1/, split_2/ (each with train, val, test)Data FormatEach CSV file contains the following columns:<code>spec_id</code>: Spectrum identifier<code>mol_id</code>: Molecule identifier<code>smiles</code>: Molecular SMILES string<code>inchikey_s</code>: InChIKey<code>formula</code>: Molecular formula<code>mw</code>: Molecular weight<code>prec_type</code>: Precursor ion type (e.g., [M+H]+)<code>inst_type</code>: Instrument type (e.g., QTOF, Orbitrap)<code>ion_mode</code>: Ionization mode (positive/negative)<code>ace</code>/<code>nce</code>: Absolute/Normalized collision energy<code>prec_mz</code>: Precursor m/z<code>peaks</code>: List of (m/z, intensity) pairsUsageExtract the archive and use with the FlexMS framework:<pre><code>tar</code><code> </code><code>-xzvf</code><code> FlexMS_data.tar.gz</code></pre>
DOI: 10.6084/m9.figshare.31144573.v1
title: FlexMS Benchmark Datasets: Mass Spectrum Prediction for Metabolomics

description: This dataset accompanies the paper "FlexMS: A Flexible Framework for Benchmarking Deep Learning-based Mass Spectrum Prediction Tools in Metabolomics."OverviewFlexMS is a flexible framework for constructing and evaluating deep learning models for tandem mass spectrum (MS/MS) prediction. This repository contains the preprocessed benchmark datasets used in the paper.Dataset ContentsThe archive contains four benchmark datasets in FlexMS-compatible CSV format:1. GNPS (Global Natural Products Social Molecular Networking)<b>Size</b>: ~322,000 spectra from ~16,000 molecules<b>Splits</b>: Random and Scaffold<b>Files</b>: train.csv, valid.csv, test.csv2. MassBank<b>Size</b>: ~62,000 spectra from ~4,000 molecules<b>Split</b>: Scaffold<b>Files</b>: train.csv, valid.csv, test.csv3. MassSpecGym<b>Size</b>: ~231,000 spectra from ~29,000 molecules<b>Split</b>: Predefined by original dataset<b>Files</b>: MassSpecGym_train.csv, MassSpecGym_valid.csv, MassSpecGym_test.csv4. MIST-CANOPUS (NPLIB1)<b>Size</b>: ~8,000 spectra from ~7,000 molecules<b>Splits</b>: 3-fold cross-validation<b>Files</b>: split_0/, split_1/, split_2/ (each with train, val, test)Data FormatEach CSV file contains the following columns:<code>spec_id</code>: Spectrum identifier<code>mol_id</code>: Molecule identifier<code>smiles</code>: Molecular SMILES string<code>inchikey_s</code>: InChIKey<code>formula</code>: Molecular formula<code>mw</code>: Molecular weight<code>prec_type</code>: Precursor ion type (e.g., [M+H]+)<code>inst_type</code>: Instrument type (e.g., QTOF, Orbitrap)<code>ion_mode</code>: Ionization mode (positive/negative)<code>ace</code>/<code>nce</code>: Absolute/Normalized collision energy<code>prec_mz</code>: Precursor m/z<code>peaks</code>: List of (m/z, intensity) pairsUsageExtract the archive and use with the FlexMS framework:<pre><code>tar</code><code> </code><code>-xzvf</code><code> FlexMS_data.tar.gz</code></pre>
DOI: 10.15468/dl.abnmug
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Micrurus [GBIF Backbone Taxonomy])",
 "Country is one of (Peru)"
 ]
 }
 ]
}

 The dataset includes 568 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009641-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqgzm7
title: Occurrence Download

description: A dataset containing 2208 records in GBIF matching the query:
SELECT
 '317' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 24.552553756517728
 AND decimalLatitude &lt;= 28.773895969281842
 AND decimalLongitude &gt;= 47.61041350707164
 AND decimalLongitude &lt;= 54.13000888096006
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 2208 records were derived from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009634-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g8tc7
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xenothrix mcgregori"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009642-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56zbyk
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos"
 ]
}

 The dataset includes 992 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009643-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73ywbq
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Micrurus [GBIF Backbone Taxonomy])",
 "Country is one of (Peru)"
 ]
 }
 ]
}

 The dataset includes 568 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009644-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb82n5
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oryzomys antillarum"
 ]
}

 The dataset includes 1205 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009646-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/efy8-dn89
title: TESS "Fast" Target Pixel Files: Sector 99

description: All target pixel files for "fast" (20-second cadence) observations from Sector 99.
DOI: 10.17909/r4sm-3c90
title: TESS Target Pixel Files: Sector 99

description: All target pixel files for (2-minute cadence) observations from Sector 99.
DOI: 10.17909/qyw9-7824
title: TESS "Fast" Light Curves: Sector 99

description: All light curve files for "fast" (20-second cadence) observations from Sector 99.
DOI: 10.17909/bptp-t156
title: TESS Light Curves: Sector 99

description: All light curve files for (2-minute cadence) observations from Sector 99.
DOI: 10.17909/14ns-qz53
title: TESS Raw Full Frame Images: Sector 99

description: All raw full frame images from Sector 99.
DOI: 10.17909/znc5-7j85
title: TESS Calibrated Full Frame Images: Sector 99

description: All calibrated full frame images from Sector 99.
DOI: 10.17909/3s23-b463
title: TESS Data Validation Files: Sector 99

description: All data validation files from Sector 99.
DOI: 10.5281/zenodo.17828582
title: CO.RA.PAN Full Corpus (Restricted)

description: This record contains the complete CO.RA.PAN (Corpus Radiofónico Panhispánico) broadcast corpus, organized into country-specific ZIP archives with audio files and linguistically annotated JSON transcripts. Due to copyright and broadcasting rights, all media files and transcripts are distributed under restricted access and cannot be shared openly. Users may request access directly through Zenodo.

A separate public record containing the open CO.RA.PAN metadata is available here:<INSERT DOI OF PUBLIC METADATA RECORD>

The public metadata collection includes:





corapan_recordings.tsv – complete tabular metadata for all recordings




corapan_recordings.json – machine-readable metadata




corapan_corpus_metadata.json – documentation of variables, corpus structure, and annotation conventions



These metadata files enable FAIR-compliant reuse, support corpus exploration, allow bibliographic referencing and reproducibility of sampling procedures, and facilitate scientific work without requiring access to restricted audio or transcripts.

Contents of this record

Each {COUNTRYCODE}.zip archive contains:





Audio recordings in mp3 format (mp3-files/)




Annotated JSON transcripts (json-transcripts/)



All ZIP archives were generated using the internal script "zenodo_corpus_zip.py", which automatically tracks timestamps and file changes to ensure reproducible versioning.

Versioning

Each version of this record represents a coherent snapshot of the full corpus at a specific point in time. Updates may include newly added recordings, corrected or extended transcripts, and improvements to preprocessing and linguistic annotation.

Related datasets

CO.RA.PAN Full Corpus (Restricted): https://doi.org/10.5281/zenodo.15360942

CO.RA.PAN Sample Corpus (Public): https://doi.org/10.5281/zenodo.15378479

CO.RA.PAN Metadata (Public): https://doi.org/10.5281/zenodo.17843469 

CO.RA.PAN Web Application and Code: https://doi.org/10.5281/zenodo.17834023  




Annotation details

Each JSON transcript contains:





tokenization, sentence segmentation




POS tags, lemmas, and morphological features




dependency relations




automatic categorization of verbal tense and related featuresAll annotations are generated using spaCy (model: es_dep_news_trf), followed by project-specific quality control steps.



Legal and access information

The restricted status of this record is due to copyright and broadcasting limitations. Only short audio-text extracts may be displayed publicly under scientific quotation rules and text-and-data-mining provisions of EU Directive 2019/790 and the German UrhG (§51, §60d, §44b). Redistribution or reuse of the full recordings and transcripts is not permitted.

Access requests can be submitted directly through Zenodo. For scientific inquiries or technical questions, please contact the CO.RA.PAN project team.
DOI: 10.15468/dl.twdtd2
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rosa xanthina",
 "Year 1960-2010"
 ]
}

 The dataset includes 97 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009647-260120142942310/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/14605440
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ekekga
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clidomys osborni"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009648-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3y5gg3
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Micrurus [GBIF Backbone Taxonomy])",
 "Country is one of (Peru)"
 ]
 }
 ]
}

 The dataset includes 568 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009649-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvxdwy
title: Occurrence Download

description: A dataset containing 28718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "VerbatimScientificName is Ortalis poliocephala"
 ]
}

 The dataset includes 28718 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009650-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.