cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18430432
title: Dataset for: Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research

description: ### Description This dataset contains raw clinical trial metadata curated for the purpose of computational analysis and audit. The data was retrieved from the WHO International Clinical Trials Registry Platform (ICTRP) to investigate [glioma research] translational trends and data quality.

### Context This record serves as the data foundation for the study: "Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research". The primary objective of providing this dataset is to ensure full transparency, reproducibility, and to allow other researchers to verify the computational findings presented in the associated manuscript.

### Methodology

- **Data Source:** WHO International Clinical Trials Registry Platform (ICTRP) (https://trialsearch.who.int/).

- **Search Strategy:** The dataset was generated using the search term "glioma".

- **Date of Extraction:** [03.01.2026].

- **Data Format:** The provided file is in  .xlsx format as exported directly from the source portal to maintain data integrity.

### Data Reuse and Reproducibility The analysis of this dataset was performed using a Python-based computational audit. For the source code and step-by-step replication instructions, please refer to the associated GitHub repository: [glioma-metadata-audit].

### Ethics Statement As this dataset consists of publicly available, de-identified metadata, it does not involve human subjects research. No administrative permissions were required to access this data for research purposes.

### Support the Research If you find this dataset or the associated auditing tools useful, you can support the continuation of this open-science project:

- **Support my research via PayPal:** [Direct Donation](paypal)

- **Buy Me a Coffee:** [irynaoliynyk](buy coffee)

Your support helps maintain these open-source tools and supports my ongoing research in neuro-oncology data integrity.
DOI: 10.5281/zenodo.18430433
title: Dataset for: Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research

description: ### Description This dataset contains raw clinical trial metadata curated for the purpose of computational analysis and audit. The data was retrieved from the WHO International Clinical Trials Registry Platform (ICTRP) to investigate [glioma research] translational trends and data quality.

### Context This record serves as the data foundation for the study: "Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research". The primary objective of providing this dataset is to ensure full transparency, reproducibility, and to allow other researchers to verify the computational findings presented in the associated manuscript.

### Methodology

- **Data Source:** WHO International Clinical Trials Registry Platform (ICTRP) (https://trialsearch.who.int/).

- **Search Strategy:** The dataset was generated using the search term "glioma".

- **Date of Extraction:** [03.01.2026].

- **Data Format:** The provided file is in  .xlsx format as exported directly from the source portal to maintain data integrity.

### Data Reuse and Reproducibility The analysis of this dataset was performed using a Python-based computational audit. For the source code and step-by-step replication instructions, please refer to the associated GitHub repository: [glioma-metadata-audit].

### Ethics Statement As this dataset consists of publicly available, de-identified metadata, it does not involve human subjects research. No administrative permissions were required to access this data for research purposes.

### Support the Research If you find this dataset or the associated auditing tools useful, you can support the continuation of this open-science project:

- **Support my research via PayPal:** [Direct Donation](paypal)

- **Buy Me a Coffee:** [irynaoliynyk](buy coffee)

Your support helps maintain these open-source tools and supports my ongoing research in neuro-oncology data integrity.
DOI: 10.15468/dl.5t4sme
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Jamaica"
 ]
}

 The dataset includes 135 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002506-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpe7gy
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Japan"
 ]
}

 The dataset includes 63 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002507-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18435517
title: Chromosome-level genome assembly and annotation of Japanese anchovy (Engraulis japonicus)

description: This dataset comprises raw sequencing reads (PacBio HiFi long reads, Illumina short reads, Hi-C data, and RNA-Seq from brain, ovary, heart, muscle, and liver), the chromosome-level genome assembly (1.42 Gb across 24 pseudochromosomes), repeat annotations (54.9% of the genome), gene predictions (24,405 protein-coding genes), and functional annotations (97.15% of genes annotated). The assembly achieves 94.07% completeness (BUSCO) and provides critical resources for population genomics and evolutionary studies of Engraulis japonicus.
DOI: 10.5281/zenodo.18435518
title: Chromosome-level genome assembly and annotation of Japanese anchovy (Engraulis japonicus)

description: This dataset comprises raw sequencing reads (PacBio HiFi long reads, Illumina short reads, Hi-C data, and RNA-Seq from brain, ovary, heart, muscle, and liver), the chromosome-level genome assembly (1.42 Gb across 24 pseudochromosomes), repeat annotations (54.9% of the genome), gene predictions (24,405 protein-coding genes), and functional annotations (97.15% of genes annotated). The assembly achieves 94.07% completeness (BUSCO) and provides critical resources for population genomics and evolutionary studies of Engraulis japonicus.
DOI: 10.5281/zenodo.18435504
title: Chromosome-level genome assembly and annotation of Japanese anchovy (Engraulis japonicus)

description: This dataset comprises raw sequencing reads (PacBio HiFi long reads, Illumina short reads, Hi-C data, and RNA-Seq from brain, ovary, heart, muscle, and liver), the chromosome-level genome assembly (1.42 Gb across 24 pseudochromosomes), repeat annotations (54.9% of the genome), gene predictions (24,405 protein-coding genes), and functional annotations (97.15% of genes annotated). The assembly achieves 94.07% completeness (BUSCO) and provides critical resources for population genomics and evolutionary studies of Engraulis japonicus.
DOI: 10.26301/mpkc-8q07
title: Thomas Jefferson Memorial

description: In the summer of 2018, CyArk digitally documented the Thomas Jefferson Memorial on the National Mall in Washington, DC. Obtaining baseline documentation of the monument was crucial to the site's conservation of the structure as site managers work to better understand the growth of biofilm on the monument's dome. Working with the National Park Service, CyArk used terrestrial photogrammetry (Nikon D810 and Phase One Medium format camera) and laser scanning (Faro X330) to document the exterior of the structure. While CyArk typically uses drones to capture all aspects of cultural heritage sites, the nation's capital has restricted airspace. To successfully capture aerial photographs of the monument, CyArk photographed the site from the National Park Service's law enforcement helicopter. The site has been able to use the data CyArk collected to better preserve the monument and monitor biological and environmental impacts on the structure over time.
description: Light filtering through the sixteen columns standing in each of the four openings to the Thomas Jefferson Memorial illuminate a polished bronze statue of the third president of the United States. Inscribed at the base of his raised figure are the years of his birth and death: 1743 to 1826. Thomas Jefferson lived through the founding of the United States as an independent nation and significantly shaped the American democracy that the world knows today. Jefferson died on the 50th anniversary of the adoption of the Declaration of Independence, a document widely recognized as one of Jefferson's most celebrated achievements. Its words located on southwest wall of the memorial read, "We hold these truths to be self-evident: that they are endowed by their creator with certain inalienable rights, among these are life, liberty, and the pursuit of happiness.." On April 13, 1943, Thomas Jefferson's 200th birthday, roughly 5,000 people gathered under overcast skies in the memorial's plaza for its dedication ceremony. Just as the monument and the surrounding landscape have changed since its initial construction, our understanding of the complexities of Thomas Jefferson as a person and president have transformed as well. Today, the National Mall, where the memorial resides, is a place of reflection and activism. It is a place where people come to negotiate and reinterpret the foundations of American democracy that remain integral to Thomas Jefferson's legacy.
description: LiDAR - Terrestrial, Photogrammetry - Terrestrial, Photogrammetry - Aerial
DOI: 10.15468/dl.wygbqz
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Palau"
 ]
}

 The dataset includes 239 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002512-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqw9vs
title: Occurrence Download

description: A dataset containing 2779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eirenis"
 ]
}

 The dataset includes 2779 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002511-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kxu5q
title: Occurrence Download

description: A dataset containing 305279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegithalos caudatus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen"
 ]
}

 The dataset includes 305279 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002492-260129131611470/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.31080001
title: Supplementary Data: In-situ deep ocean monitoring reveals rapid kelp degradation limits marine biomass-based carbon sequestration potential and alters benthic ecosystems

description: Supplementary Data
DOI: 10.6084/m9.figshare.31080001.v1
title: Supplementary Data: In-situ deep ocean monitoring reveals rapid kelp degradation limits marine biomass-based carbon sequestration potential and alters benthic ecosystems

description: Supplementary Data
DOI: 10.15468/dl.pq5r2e
title: Occurrence Download

description: A dataset containing 1442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Philippines"
 ]
}

 The dataset includes 1442 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002514-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqcjwp
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Papua New Guinea"
 ]
}

 The dataset includes 484 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002513-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfdxax
title: Occurrence Download

description: A dataset containing 3551233 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos biogeográfica del Fondo de Investigación Pesquera y de Acuicultura, Subsecretaría de Pesca y Acuicultura"
 ]
}

 The dataset includes 3551233 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002469-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26301/2bkv-jf29
title: Natchez National Historical Park - Johnson House

description: In 2014 CyArk and Trimble began the Atlantic Slave Trade Project to curate an interactive and immersive experience to complement ongoing research of slavery throughout the Atlantic region. The project seeks to further illuminate the connections between these sites and their place within the largest organized system of forced migration in history. Using the latest 3D laser scanning and reality capture technologies, CyArk scanned and modeled sites associated with the Transatlantic slave trade in an effort to better understand, conserve, and preserve these sites and the stories of enslaved peoples. CyArk and Trimble digitally documented two sites within the Natchez National Historical Park: Melrose Estate, an early 19th century Greek-revival style mansion, and William Johnson House, the mid 19th century home of a free African American man.
description: Located on the terminus of the 444-mile Natchez Historic Parkway and at the southern end of the 2,320-mile long Mississippi River, Natchez National Historic Park preserves sites and stories of a global crossroads that people have passed through and taken root in for over 10,000 years. Throughout the 17th and 19th centuries, indigenous communities, European colonists from France, Britain, and Spain, American settlers, and enslaved peoples have shaped Natchez's landscape. The name Natchez comes from American Indians who lived in the area until the violence of western expansion and the breakdown of Natchez-French relations forced them from the area in the early 18th century. While American Indians were forced to leave the area, others found Natchez a place marked by their enslavement. Known for once having the second largest slave market in the country, the Historic Park illuminates the complexities of how the people of Natchez engaged in the global system of slavery as well as people's experiences of racial violence and enslavement.
description: LiDAR - Terrestrial
DOI: 10.26301/773d-jn62
title: Natchez National Historical Park - Melrose

description: In 2014 CyArk and Trimble began the Atlantic Slave Trade Project to curate an interactive and immersive experience to complement ongoing research of slavery throughout the Atlantic region. The project seeks to further illuminate the connections between these sites and their place within the largest organized system of forced migration in history. Using the latest 3D laser scanning and reality capture technologies, CyArk scanned and modeled sites associated with the Transatlantic slave trade in an effort to better understand, conserve, and preserve these sites and the stories of enslaved peoples. CyArk and Trimble digitally documented two sites within the Natchez National Historical Park: Melrose Estate, an early 19th century Greek-revival style mansion, and William Johnson House, the mid 19th century home of a free African American man.
description: Located on the terminus of the 444-mile Natchez Historic Parkway and at the southern end of the 2,320-mile long Mississippi River, Natchez National Historic Park preserves sites and stories of a global crossroads that people have passed through and taken root in for over 10,000 years. Throughout the 17th and 19th centuries, indigenous communities, European colonists from France, Britain, and Spain, American settlers, and enslaved peoples have shaped Natchez's landscape. The name Natchez comes from American Indians who lived in the area until the violence of western expansion and the breakdown of Natchez-French relations forced them from the area in the early 18th century. While American Indians were forced to leave the area, others found Natchez a place marked by their enslavement. Known for once having the second largest slave market in the country, the Historic Park illuminates the complexities of how the people of Natchez engaged in the global system of slavery as well as people's experiences of racial violence and enslavement.
description: LiDAR - Terrestrial
DOI: 10.15468/dl.jjh54k
title: Occurrence Download

description: A dataset containing 27783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tsuga heterophylla",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 27783 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002516-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/9e67d5f471f448a966f3d6bd81bc5825
title: SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, since 1984 (ongoing)

description: This data file represents a time series of canopy area of giant
 kelp, Macrocystis pyrifera, and bull kelp,
 Nereocystis luetkeana, and canopy biomass of
 giant kelp derived from Landsat 5 Thematic Mapper (TM), Landsat 7
 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land
 Imager (OLI), and Landsat 9 Operational Land Imager 2 satellite
 imagery, along with relevant metadata. The kelp canopy is composed
 of the portions of fronds and stipes floating on the surface of
 the water. Canopy area (m) data are given for individual 30 x 30
 meter pixels for all coastal areas of Baja California, Mexico,
 California, Oregon, and the outer coast of Washington (including
 offshore islands). Biomass data (wet weight, kg) are given for
 individual 30 x 30 meter pixels in the coastal areas extending
 from near Ano Nuevo, CA through the southern range limit in Baja
 California (including offshore islands), representing the range
 where giant kelp is the dominant canopy forming species.
 
 
 Data were derived from the three Landsat sensors listed above.
 Observations are made on a 16 day repeat cycle, for each
 instrument, but the temporal coverage is irregular because of
 cloud cover, instrument failure, and the mission length of each
 sensor (TM: 1984 – 2011, ETM+: 1999 – present, OLI: 2013 –
 present). Estimates of canopy area are derived from the fractional
 cover of kelp canopy determined from satellite surface
 reflectance. Estimates of kelp canopy biomass are derived from the
 relationship between giant kelp fractional cover determined from
 satellite surface reflectance and empirical measurements of giant
 kelp canopy biomass in long-term SBC LTER study plots obtained
 using SCUBA. The different Landsat sensors were calibrated to each
 other using simulated Landsat data derived from hyperspectral
 imagery. Missing data due to the ETM+ scan line corrector error
 were filled using a synchrony-based gap filling method.
 
 
 Data are organized into a single NetCDF file and contain the
 quarterly area and biomass means for each Landsat pixel across the
 three sensors. Relevant metadata such as number of Landsat
 estimates from which the mean was derived, the number of estimates
 from each sensor, standard error for each quarterly estimate,
 spatial coordinates, and date are all included in the file. For
 assistance with the data, please contact sbclter@msi.ucsb.edu.
DOI: 10.15468/dl.kq6xyc
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Saint Lucia"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002518-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuvmc7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 8483a1f0-1032-11db-ae00-b8a03c50a862",
 "TaxonKey is Aristelliger cochranae"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002519-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkxpqy
title: Occurrence Download

description: A dataset containing 22606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 2025",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 50000",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Material sample)",
 "TaxonKey is one of (Rhinella marina, Rhinella schneideri)",
 "Country is one of (Australia, Brazil, Colombia, Ecuador, Venezuela (Bolivarian Republic of), Peru, Mexico, Guatemala, Costa Rica, Panama, Honduras, Nicaragua, El Salvador, United States of America, Bolivia (Plurinational State of), Paraguay, Argentina, Uruguay)"
 ]
}

 The dataset includes 22606 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002517-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmcwa6
title: Occurrence Download

description: A dataset containing 2779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eirenis"
 ]
}

 The dataset includes 2779 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002520-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2zyy4
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "HasCoordinate is true",
 "Country is Saint Vincent and the Grenadines"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002521-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.