cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rh6bzj
title: Occurrence Download

description: A dataset containing 4694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Madrepora oculata Linnaeus, 1758"
 ]
}

 The dataset includes 4694 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019334-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14832010
title: Data used in "A simulation technique for lightning electromagnetic pulse waveform"
DOI: 10.5281/zenodo.14832011
title: Data used in "A simulation technique for lightning electromagnetic pulse waveform"
DOI: 10.5281/zenodo.14832051
title: Leading Columbus Graphic Design & Web Design Company

description: Elevate your brand with Willan Technologies, a leading Columbus Graphic Design Company that specializes in crafting visually stunning and impactful designs. Our expert team specializes in creating unique graphics that enhance business identity. Our company is also a reliable Columbus Web Design Company that constructs responsive, high-performance websites to match business goals. From catchy graphics to cutting-edge websites, our Willan Technologies provides unmatched quality and results for the advancement of your business.
DOI: 10.5281/zenodo.14832052
title: Leading Columbus Graphic Design & Web Design Company

description: Elevate your brand with Willan Technologies, a leading Columbus Graphic Design Company that specializes in crafting visually stunning and impactful designs. Our expert team specializes in creating unique graphics that enhance business identity. Our company is also a reliable Columbus Web Design Company that constructs responsive, high-performance websites to match business goals. From catchy graphics to cutting-edge websites, our Willan Technologies provides unmatched quality and results for the advancement of your business.
DOI: 10.15468/dl.fm3xev
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anagallis foemina Mill., Anagallis foemina Mill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Geometry POLYGON((16.26355 48.15358,16.48014 48.15358,16.48014 48.27418,16.26355 48.27418,16.26355 48.15358))",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019336-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14831601
title: Dataset for "25 years of XMM-Newton observations of the Sgr A complex. 3D distribution and internal structure of the clouds"

description: List of observations used in "25 years of XMM-Newton observations of the Sgr A complex. 3D distribution and internal structure of the clouds" by Stel et al., 2025, Astronomy&Astrophysics.

The four columns are: the observation number, the observation ID, the date of the observation, and the filtered exposure.
DOI: 10.5281/zenodo.14831602
title: Dataset for "25 years of XMM-Newton observations of the Sgr A complex. 3D distribution and internal structure of the clouds"

description: List of observations used in "25 years of XMM-Newton observations of the Sgr A complex. 3D distribution and internal structure of the clouds" by Stel et al., 2025, Astronomy&Astrophysics.

The four columns are: the observation number, the observation ID, the date of the observation, and the filtered exposure.
DOI: 10.6084/m9.figshare.27652623.v28
title: toy-datasets

description: Toy datasets of different genome data and file types.
DOI: 10.15468/dl.v56mn9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthemis arvensis L., Anthemis arvensis var. arvensis, Anthemis chevalieri Sennen, Chamaemelum agreste (Wallr.) Godr., 1843, Chamaemelum arvense (L.) All., 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Geometry POLYGON((16.26355 48.15358,16.48014 48.15358,16.48014 48.27418,16.26355 48.27418,16.26355 48.15358))",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019337-250127130748423/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.25975249
title: SAIL - Hourly averaged fair weather gamma radiation data

description: Dataset of measurements of gamma radiation across the Atlantic Ocean a board the ship NRP Sagres form the Portuguese Navy with the trajectory from Lisboa – Cabo Verde – Rio de Janeiro – Buenos Aires – Cape Town – Cabo Verde – Lisboa from january 5th to May 10th.The dataset is compose by the following five columns:date (yyyy-mm-dd)<br>time (HH-MM-SS)<br>gamma radiation (counts per minute - cpm)<br>latitude (degrees N)longitude (degrees E)
DOI: 10.6084/m9.figshare.25975249.v3
title: SAIL - Hourly averaged fair weather gamma radiation data

description: Dataset of measurements of gamma radiation across the Atlantic Ocean a board the ship NRP Sagres form the Portuguese Navy with the trajectory from Lisboa – Cabo Verde – Rio de Janeiro – Buenos Aires – Cape Town – Cabo Verde – Lisboa from january 5th to May 10th.The dataset is compose by the following five columns:date (yyyy-mm-dd)<br>time (HH-MM-SS)<br>gamma radiation (counts per minute - cpm)<br>latitude (degrees N)longitude (degrees E)
DOI: 10.6084/m9.figshare.25975249.v2
title: SAIL - Hourly averaged fair weather gamma radiation data

description: Dataset of measurements of gamma radiation across the Atlantic Ocean a board the ship NRP Sagres form the Portuguese Navy with the trajectory from Lisboa – Cabo Verde – Rio de Janeiro – Buenos Aires – Cape Town – Cabo Verde – Lisboa from january 5th to May 10th.The dataset is compose by the following five columns: date (yyyy-mm-dd)<br>time (HH-MM-SS)<br>gamma radiation (counts per minute - cpm)<br>longitude (degrees E) <br>latitude (degrees N)
DOI: 10.25403/upresearchdata.28367972
title: The prevalence of 3-hydroxy-3- methylglutaryl-CoA reductase (HMGCR) variants in hypercholesterolemia patients with statins in comparison with healthy controls

description: The study included 186 participants aged 19 to 75 for the rs12916 analysis. Among them, 100 were healthy volunteers serving as the control group, while 86 were hypercholesterolaemic patients constituting the test group. The patients were treated with either simvastatin (67%) or atorvastatin (33%). For the rs17244841 analysis, 192 participants aged 19 to 75 were studied, comprising 100 healthy volunteers as the control group and 92 hypercholesterolaemic patients as the test group. In this group, 72% received simvastatin and 28% were on atorvastatin. TaqMan® Polymerase Chain Reaction (PCR) genotyping assays were employed for the identification of single nucleotide variants (SNVs) rs12916 and rs17244841. The CKM Human SingleStep ELISA® Kit was used to assess CK levels, and to evaluate the likelihood of statin intolerance, a quantitative questionnaire was utilised. Results: Among the 86 samples analysed from individuals with diagnosed hypercholesterolaemia, 14% exhibited a high risk of statin intolerance, 48% demonstrated moderate risk, and 38% showed low risk based on the rs12916 variant. Similarly, among the 92 hypercholesterolemia samples analysed, 14% showed high risk, 48% moderate risk, and 38% low risk for statin intolerance associated with the rs17244841 variant.The genotype distribution for HMGCR rs12916 in the test group and for rs17244841 in both the test and control groups did not align with the Hardy-Weinberg equilibrium (HWE) (p&lt;0.05). However, the genotype distribution for HMGCR rs12916 in the control group was consistent with the HWE. The rs12916 variant was significantly more common in the control group (42%) than in the test group (36%), (Odds ratio (OR)=0.5318; 95% confidence interval (CI)=0.3543 to 0.8081; p=0.0034).The frequency of rs17244841 was more common in the control group (61%) than in the test group (50%), (OR)=0.7846; 95% CI=0.5093 to 1.204; p=0.2774). No significant association was found between the risk levels (low, moderate, and high) and statin intolerance for the genotype frequencies for rs12916 (OR=0.5318, 95% CI=0.3543 to 0.8081, relative risk (RR)=0.7439, 95% CI=0.6066 to 0.9036, p=0.0034) or for rs17244841 (OR=0.7846, 95% CI=0.5093 to 1.204, RR=0.888, 95% CI=0.7103 to 1.091, p=0.2774) when based on calculated statin intolerance risk (low risk vs. moderate to high risk). Relative risk quantifies the likelihood of statin intolerance in individuals with these genetic variants compared to those without them. Although patients on simvastatin had higher mean CK levels (25041 pg/mL) compared to atorvastatin users (17650 pg/mL), this difference was not statistically significant (p=0.2111). There was no correlation found between the rs12916 variant and statin intolerance or CK levels (p=0.3658), a positive correlation was observed between the rs17244841 variant and both the severity of statin intolerance and elevated CK levels (p=0.2314).
DOI: 10.25403/upresearchdata.28367972.v1
title: The prevalence of 3-hydroxy-3- methylglutaryl-CoA reductase (HMGCR) variants in hypercholesterolemia patients with statins in comparison with healthy controls

description: The study included 186 participants aged 19 to 75 for the rs12916 analysis. Among them, 100 were healthy volunteers serving as the control group, while 86 were hypercholesterolaemic patients constituting the test group. The patients were treated with either simvastatin (67%) or atorvastatin (33%). For the rs17244841 analysis, 192 participants aged 19 to 75 were studied, comprising 100 healthy volunteers as the control group and 92 hypercholesterolaemic patients as the test group. In this group, 72% received simvastatin and 28% were on atorvastatin. TaqMan® Polymerase Chain Reaction (PCR) genotyping assays were employed for the identification of single nucleotide variants (SNVs) rs12916 and rs17244841. The CKM Human SingleStep ELISA® Kit was used to assess CK levels, and to evaluate the likelihood of statin intolerance, a quantitative questionnaire was utilised. Results: Among the 86 samples analysed from individuals with diagnosed hypercholesterolaemia, 14% exhibited a high risk of statin intolerance, 48% demonstrated moderate risk, and 38% showed low risk based on the rs12916 variant. Similarly, among the 92 hypercholesterolemia samples analysed, 14% showed high risk, 48% moderate risk, and 38% low risk for statin intolerance associated with the rs17244841 variant.The genotype distribution for HMGCR rs12916 in the test group and for rs17244841 in both the test and control groups did not align with the Hardy-Weinberg equilibrium (HWE) (p&lt;0.05). However, the genotype distribution for HMGCR rs12916 in the control group was consistent with the HWE. The rs12916 variant was significantly more common in the control group (42%) than in the test group (36%), (Odds ratio (OR)=0.5318; 95% confidence interval (CI)=0.3543 to 0.8081; p=0.0034).The frequency of rs17244841 was more common in the control group (61%) than in the test group (50%), (OR)=0.7846; 95% CI=0.5093 to 1.204; p=0.2774). No significant association was found between the risk levels (low, moderate, and high) and statin intolerance for the genotype frequencies for rs12916 (OR=0.5318, 95% CI=0.3543 to 0.8081, relative risk (RR)=0.7439, 95% CI=0.6066 to 0.9036, p=0.0034) or for rs17244841 (OR=0.7846, 95% CI=0.5093 to 1.204, RR=0.888, 95% CI=0.7103 to 1.091, p=0.2774) when based on calculated statin intolerance risk (low risk vs. moderate to high risk). Relative risk quantifies the likelihood of statin intolerance in individuals with these genetic variants compared to those without them. Although patients on simvastatin had higher mean CK levels (25041 pg/mL) compared to atorvastatin users (17650 pg/mL), this difference was not statistically significant (p=0.2111). There was no correlation found between the rs12916 variant and statin intolerance or CK levels (p=0.3658), a positive correlation was observed between the rs17244841 variant and both the severity of statin intolerance and elevated CK levels (p=0.2314).
DOI: 10.5281/zenodo.14832120
title: Raw Data for the Manuscript: Ultrafast phonon-mediated dephasing of color centers in hexagonal boron nitride probed by electron beams
DOI: 10.5281/zenodo.14832121
title: Raw Data for the Manuscript: Ultrafast phonon-mediated dephasing of color centers in hexagonal boron nitride probed by electron beams
DOI: 10.34740/kaggle/dsv/10686575
title: World Weather Repository ( Daily Updating )
DOI: 10.5281/zenodo.3373438
title: Histology images from uniform tumor regions in TCGA Whole Slide Images (TCGA-UT)

description: TCGA-UT Dataset Documentation 

Quick Links



Dataset on Hugging Face: For users interested in benchmarking foundation models or feature extractors, please visit TCGA-UT on Hugging Face

Original Paper: Universal encoding of pan-cancer histology by deep texture representations


 

Dataset Overview

The TCGA-UT dataset is a large-scale collection of histopathological image patches from human cancer tissues. It contains 1,608,060 image patches extracted from hematoxylin & eosin (H&E) stained histological samples across 32 different types of solid cancers.

Key Features



Size: Over 1.6 million image patches

Resolution: All patches are standardized to 256 x 256 pixels

Source: Derived from The Cancer Genome Atlas (TCGA) dataset

Quality: Curated by trained pathologists

Coverage: 32 different cancer types

Patient Base: 7,175 patients from 8,736 diagnostic slides


Data Collection Process



Image Source: Whole Slide Images (WSI) were downloaded from the GDC legacy database between December 2016 and June 2017

Expert Annotation: Two trained pathologists selected at least three representative tumor regions per slide

Quality Control: 926 slides were removed due to various quality issues (poor staining, low resolution, focus problems, etc.)

Patch Extraction: 10 patches were randomly cropped at 6 different magnification levels from each annotated region


File Structure

Files are organized using the following format:



 



Copy




[cancer_type]/[resolution]/[TCGA Barcode]/[region]-[number]-[pixel resolution].jpg



Resolution Key



0: 0.5 μm/pixel

1: 0.6 μm/pixel

2: 0.7 μm/pixel

3: 0.8 μm/pixel

4: 0.9 μm/pixel

5: 1.0 μm/pixel


License



Non-Commercial Use: CC-BY-NC-SA 4.0

Commercial Use: Please contact ishum-prm@m.u-tokyo.ac.jp for licensing


Citation

If you use this dataset in your research, please cite:



 



Copy




Komura, D., et al. (2022). Universal encoding of pan-cancer histology by deep texture representations. 
Cell Reports 38, 110424. https://doi.org/10.1016/j.celrep.2022.110424



For Model Benchmarking

If you're interested in using this dataset for benchmarking foundation models or feature extractors, we recommend accessing the dataset through the Hugging Face Hub at dakomura/tcga-ut. The Hugging Face version provides:



Predefined train/validation/test splits (both internal and external facility-based splits)

Ready-to-use benchmarking framework for foundation models

WebDataset format support for efficient data loading

Example implementations for state-of-the-art model evaluation
DOI: 10.5281/zenodo.5889558
title: Histology images from uniform tumor regions in TCGA Whole Slide Images (TCGA-UT)

description: TCGA-UT Dataset Documentation 

Quick Links



Dataset on Hugging Face: For users interested in benchmarking foundation models or feature extractors, please visit TCGA-UT on Hugging Face

Original Paper: Universal encoding of pan-cancer histology by deep texture representations


 

Dataset Overview

The TCGA-UT dataset is a large-scale collection of histopathological image patches from human cancer tissues. It contains 1,608,060 image patches extracted from hematoxylin & eosin (H&E) stained histological samples across 32 different types of solid cancers.

Key Features



Size: Over 1.6 million image patches

Resolution: All patches are standardized to 256 x 256 pixels

Source: Derived from The Cancer Genome Atlas (TCGA) dataset

Quality: Curated by trained pathologists

Coverage: 32 different cancer types

Patient Base: 7,175 patients from 8,736 diagnostic slides


Data Collection Process



Image Source: Whole Slide Images (WSI) were downloaded from the GDC legacy database between December 2016 and June 2017

Expert Annotation: Two trained pathologists selected at least three representative tumor regions per slide

Quality Control: 926 slides were removed due to various quality issues (poor staining, low resolution, focus problems, etc.)

Patch Extraction: 10 patches were randomly cropped at 6 different magnification levels from each annotated region


File Structure

Files are organized using the following format:



 



Copy




[cancer_type]/[resolution]/[TCGA Barcode]/[region]-[number]-[pixel resolution].jpg



Resolution Key



0: 0.5 μm/pixel

1: 0.6 μm/pixel

2: 0.7 μm/pixel

3: 0.8 μm/pixel

4: 0.9 μm/pixel

5: 1.0 μm/pixel


License



Non-Commercial Use: CC-BY-NC-SA 4.0

Commercial Use: Please contact ishum-prm@m.u-tokyo.ac.jp for licensing


Citation

If you use this dataset in your research, please cite:



 



Copy




Komura, D., et al. (2022). Universal encoding of pan-cancer histology by deep texture representations. 
Cell Reports 38, 110424. https://doi.org/10.1016/j.celrep.2022.110424



For Model Benchmarking

If you're interested in using this dataset for benchmarking foundation models or feature extractors, we recommend accessing the dataset through the Hugging Face Hub at dakomura/tcga-ut. The Hugging Face version provides:



Predefined train/validation/test splits (both internal and external facility-based splits)

Ready-to-use benchmarking framework for foundation models

WebDataset format support for efficient data loading

Example implementations for state-of-the-art model evaluation
DOI: 10.5284/1125913
title: Digital Archive from an Open Area Excavation at the DVSA Checkpoint at Scotch Corner, Middleton Tyas, North Yorkshire, February 2024

description: This collection comprises images, site records, text, spreadsheets, and databases from an open area excavation at the Driver and Vehicle Standards Agency (DVSA) checkpoint at Scotch Corner, Middleton Tyas, North Yorkshire. This work was undertaken by Ecus Ltd in February 2024. A multiple ditch system was identified, relating to four phases of field enclosure. Half a ring gully and partial floor surface belonging to a Romano-British roundhouse was also recorded. A finds assemblage comprising four sherds of Samian ware, three sherds of Roman oxidised ware, and abraded fragments of hand-built pottery date the occupation from the 2nd century AD onwards. The project served to confirm the continuation of occupation at Scotch Corner in areas to the east of the extensive excavations carried out in advance of the A1 widening scheme which concluded in 2017.
DOI: 10.15468/dl.er2zcf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Madrepora oculata f. alpha Cairns, 1991"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019338-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mwq25
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthemis cotula L., Anthemis coronata Peterm., Anthemis cotula subsp. cotula, Anthemis cotula subsp. psorosperma (Ten.) Arcang., Anthemis cotula var. coronata (Peterm.) Peterm., Anthemis cotula var. hierosolymitana Eig, Anthemis foetida Gilib., Anthemis foetida Lam., Anthemis foetida var. foetida, Anthemis foetida var. vectensis N.H.Williams, Anthemis galilaea var. hierosolymitana (Eig) Yavin, Anthemis psorosperma Ten., Anthemis ramosa Link, Anthemis ramosa Link ex Spreng., Chamaemelum cotula (L.) All., Chamaemelum foetidum Baumg., Cotula foetida S.G.Gmel., Maruta cotula (L.) DC., Maruta cotula (L.) Dumort., 1827, Maruta cotula var. cotula, Maruta foetida (Lam.) Cass., Maruta foetida (Lam.) Gray, Maruta vulgaris Bluff & Fingerh., Matricaria cotula (L.) Baill., Matricaria cotula (L.) L., 1759)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Geometry POLYGON((16.26355 48.15358,16.48014 48.15358,16.48014 48.27418,16.26355 48.27418,16.26355 48.15358))",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019339-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ape6jd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachysema minus Crisp, 1995"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019340-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uknp68
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Lophira alata Banks ex C.F.Gaertn.",
 "Year 1975-2025"
 ]
}

 The dataset includes 52 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019341-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r89rtw
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Lophira alata Banks ex C.F.Gaertn.",
 "Year 1975-2025"
 ]
}

 The dataset includes 52 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019342-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhsht7
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 659 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019344-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.