cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc1sto1610334
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.15468/dl.mx47zt
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kageneckia oblonga",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 906 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026923-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110613440
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.25549/inscriptifact-ouc110616476
title: Persepolis Fortification Elamite Tablet 1394, PF-NN 1394

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1394 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on reverse. Seal impression on reverse and left edge. ❧ [Physical Object Note:] Reverse toward bottom edge broken.
DOI: 10.25549/inscriptifact-ouc110613432
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.25549/inscriptifact-ouc110616457
title: Persepolis Fortification Elamite Tablet 1088, PF-NN 1088

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 1088 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on obverse and left edge (?). ❧ [Physical Object Note:] Obverse toward upper edge broken. Round edge toward upper edge broken.
DOI: 10.3886/e240063v1
title: Global AI Governance Market Analysis

description: The global AI Governance Market was valued at USD 620.0
million in 2024 and is expected to reach USD 940.0 million by the end of 2025.
The market is projected to grow significantly, reaching USD 7.38 billion by
2030, representing a compound annual growth rate (CAGR) of 51% during the
2025–2030 period. This rapid expansion is driven by the growing emphasis on
responsible, ethical, and compliant AI deployment amid rising regulatory
scrutiny and increasing AI adoption across industries.<br><br>For more Information visit: https://www.nextmsc.com/report/ai-governance-market-3562
DOI: 10.5281/zenodo.18678135
title: Equations and data for parameterizing an IMTA system dynamics model

description: The model equation and data for parameterizing a system dynamics model for assessing the economic viability and environmental impact of integrated multi-trophic aquaculture in Nigeria.
DOI: 10.5281/zenodo.18678134
title: Equations and data for parameterizing an IMTA system dynamics model

description: The model equation and data for parameterizing a system dynamics model for assessing the economic viability and environmental impact of integrated multi-trophic aquaculture in Nigeria.
DOI: 10.34740/kaggle/dsv/14875846
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.8k752b
title: Occurrence Download

description: A dataset containing 10995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Buceros bicornis"
 ]
}

 The dataset includes 10995 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026781-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.563swc
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((-9.59277 21.37258,103.59277 21.37258,103.59277 66.62742,-9.59277 66.62742,-9.59277 21.37258))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa biflora"
 ]
}

 The dataset includes 384 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026782-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prbu3y
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa biebersteiniana"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026783-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbsxyy
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa alberti"
 ]
}

 The dataset includes 179 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026784-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btgr5p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria capitula"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026785-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp3n2m
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.62776 34.33919,35.07765 34.33919,35.07765 35.96911,31.62776 35.96911,31.62776 34.33919))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus coccifera"
 ]
}

 The dataset includes 84 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026786-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2025.194
title: ผลกระทบของขนาดกิจการต่อความสัมพันธ์ระหว่างระดับความรับผิดชอบด้าน สิ่งแวดล้อม สังคมและบรรษัทภิบาลขององค์กร (ESG) และการประเมินมูลค่า แบรนด์: กรณีศึกษาบริษัทที่จดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทย

description: งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาผลกระทบของขนาดกิจการต่อความสัมพันธ์ระหว่างระดับความรับผิดชอบด้านสิ่งแวดล้อม สังคม และบรรษัทภิบาล (ESG) กับการประเมินมูลค่าแบรนด์ของบริษัทจดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทย การศึกษานี้ใช้วิธีการวิเคราะห์ถดถอยเชิงพหุคูณ (Multiple Linear Regression) ในการวิเคราะห์ข้อมูลของบริษัทที่ได้รับการประเมิน ESG ระหว่างปี พ.ศ. 2563–2567 ผลการศึกษาพบว่าคะแนน ESG มีอิทธิพลเชิงลบต่อมูลค่าแบรนด์ และพบว่าขนาดกิจการส่งผลเชิงบวกต่อความสัมพันธ์ระหว่างคะแนน ESG และการประเมินมูลค่าแบรนด์ สะท้อนให้เห็นว่า ESG ส่งผลเชิงบวกต่อแบรนด์มากขึ้นได้เมื่อบริษัทมีขนาดใหญ่เพียงพอ ทั้งนี้ยังพบว่าผลกระทบดังกล่าวมีแนวโน้มชัดเจนยิ่งขึ้นในระยะเวลาถัดไป การศึกษานี้จึงเป็นประโยชน์ต่อผู้บริหารและนักลงทุนที่ในเรื่องการใช้ ESG เป็นเครื่องมือเชิงกลยุทธ์ในการสร้างมูลค่าแบรนด์อย่างยั่งยืน
DOI: 10.15468/dl.4as8dj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria biakensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026787-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3b2ph
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platea latifolia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 205 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026788-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe9jua
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((60.35277 37.24421,96.64723 37.24421,96.64723 51.75579,60.35277 51.75579,60.35277 37.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tschulaktavia saxatilis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026790-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2t8f3
title: Occurrence Download

description: A dataset containing 21130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus punctulatus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 21130 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026789-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwse3u
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Setaria nigrirostris"
 ]
}

 The dataset includes 317 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026791-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmp98e
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((50.35277 37.24421,86.64723 37.24421,86.64723 51.75579,50.35277 51.75579,50.35277 37.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichanthemis aulieatensis"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026792-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxff2q
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria longicrus"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026793-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nh7y5x
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.88411 34.23228,35.05594 34.23228,35.05594 35.87847,31.88411 35.87847,31.88411 34.23228))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus infectoria"
 ]
}

 The dataset includes 78 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026794-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18503231
title: The Shelf-Bench Dataset: A benchmark dataset for Antarctic ice shelf front and coastline delineation from multi-sensor radar satellite data

description: Shelf-Bench is a comprehensive benchmark dataset for the delineation of Antarctic ice shelf fronts and coastlines using Synthetic Aperture Radar (SAR) imagery. The dataset comprises 161 manually annotated scenes spanning three decades (1992–2021) from Sentinel-1, ERS and Envisat satellites. Thirty-eight scenes have been designated as a standardised test set to enable model comparison. Processed patches (265 x 265 pixels) of the satellite scenes are also provided in PNG format for training, validation, and testing purposes, along with trained weights for five baselines (U-Net, DeepLabv3, FPN, DINOv3 7B, and ViT), which were trained on the PNG patches.  Additionally, the Geopackage contains the extents of all the training and test scenes, along with their metadata, to provide a quick geospatial overview in GIS software such as QGIS.

This repository contains the following files:



Shelf-Bench.zip: Satellite scene-based benchmark dataset, georeferenced GeoTiffs 

Shelf-Bench-extents.gpkg: Geospatial extents of train and test scenes

Shelf-Bench-Tiles.zip: Tiled PNG patches for train, validation and test extracted from Shelf-Bench.zip

trained_models.zip: Weights trained based on the five baseline models


The scene-based dataset is structured as follows:

{Satellite}/  ├── masks/  ├── scenes/  └── test_{satellite}/        ├── masks/        └── scenes/

File naming follows the structure:

[SATELLITE-ID]_[YYYYMMDD]_[POLARISATION]_[SCENE_ID].tif



SATELLITE-ID: `S1A`, `S1B`, `ERS`, or `ENV`. S1A and SLB refers to Sentinel-1a and Sentinel-1b respectively.

YYYYMMDD: Acquisition date.

POLARISATION: e.g., `HH`, `VV.`

SCENE_ID: Product-specific identifiers (e.g., scene code, crop number, or location prefix).


Versions:



1.1.0 major improvments: best trained weights based on val loss (instead of trained for 1000 epochs), compressed GeoTiffs of the Sentinel-1 test data; added missing tiles to Shelf-Bench-Tiles.zip

1.0.0 initial submission
DOI: 10.5281/zenodo.17610870
title: The Shelf-Bench Dataset: A benchmark dataset for Antarctic ice shelf front and coastline delineation from multi-sensor radar satellite data

description: Shelf-Bench is a comprehensive benchmark dataset for the delineation of Antarctic ice shelf fronts and coastlines using Synthetic Aperture Radar (SAR) imagery. The dataset comprises 161 manually annotated scenes spanning three decades (1992–2021) from Sentinel-1, ERS and Envisat satellites. Thirty-eight scenes have been designated as a standardised test set to enable model comparison. Processed patches (265 x 265 pixels) of the satellite scenes are also provided in PNG format for training, validation, and testing purposes, along with trained weights for five baselines (U-Net, DeepLabv3, FPN, DINOv3 7B, and ViT), which were trained on the PNG patches.  Additionally, the Geopackage contains the extents of all the training and test scenes, along with their metadata, to provide a quick geospatial overview in GIS software such as QGIS.

This repository contains the following files:



Shelf-Bench.zip: Satellite scene-based benchmark dataset, georeferenced GeoTiffs 

Shelf-Bench-extents.gpkg: Geospatial extents of train and test scenes

Shelf-Bench-Tiles.zip: Tiled PNG patches for train, validation and test extracted from Shelf-Bench.zip

trained_models.zip: Weights trained based on the five baseline models


The scene-based dataset is structured as follows:

{Satellite}/  ├── masks/  ├── scenes/  └── test_{satellite}/        ├── masks/        └── scenes/

File naming follows the structure:

[SATELLITE-ID]_[YYYYMMDD]_[POLARISATION]_[SCENE_ID].tif



SATELLITE-ID: `S1A`, `S1B`, `ERS`, or `ENV`. S1A and SLB refers to Sentinel-1a and Sentinel-1b respectively.

YYYYMMDD: Acquisition date.

POLARISATION: e.g., `HH`, `VV.`

SCENE_ID: Product-specific identifiers (e.g., scene code, crop number, or location prefix).


Versions:



1.1.0 major improvments: best trained weights based on val loss (instead of trained for 1000 epochs), compressed GeoTiffs of the Sentinel-1 test data; added missing tiles to Shelf-Bench-Tiles.zip

1.0.0 initial submission
DOI: 10.15468/dl.mufj9m
title: Occurrence Download

description: A dataset containing 1386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus arborea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1386 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026795-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4qpwb
title: Occurrence Download

description: A dataset containing 56823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zearaja",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56823 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026751-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wprdnj
title: Occurrence Download

description: A dataset containing 5810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Setaria palmifolia"
 ]
}

 The dataset includes 5810 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026798-260208012135463/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/14875888
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57745/0phpmg
title: 16S-ITS-23S-GTDB_RS220_20250304.tar.gz

description: :unav
DOI: 10.57745/irlqi1
title: 16S-ITS-23S-DB database march 2025

description: All archaeal and bacterial genomes available in GenBank and RefSeq and included in GTDB release v220 were retrieved using genome_updater v0.6.2. In total, 596,630 genome assemblies were downloaded. Assemblies lacking either the nucleotide sequence file (fna; n = 7) or the corresponding annotation file (gff; n = 199,807) were excluded from further analyses. This filtering step resulted in 596,630 assemblies retained for downstream processing. Gene annotation files were parsed to identify 16S and 23S rRNA genes, using regular expression patterns applied to the product and gene annotation fields. Candidate 16S–ITS–23S operons were defined by pairing 16S and 23S rRNA genes that satisfied the following criteria: (i) both genes are located on the same DNA strand; (ii) the extracted genomic region spans 3,000 to 7,000 nucleotides; and (iii) the region starts with a 16S rRNA gene and ends with a 23S rRNA gene. Genomic segments fulfilling these conditions were extracted, yielding a total of 428,184 16S–ITS–23S regions identified across 164,059 genome assemblies. To reduce redundancy, extracted sequences were dereplicated. After dereplication, the database comprised 238,028 16S–ITS–23S sequences, representing 26,322 species distributed across 6,452 distinct genera.