cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26591945
title: Additional file 1 of Preoperative Platelet-Lymphocyte Ratio (PLR) as a prognostic inflammation biomarker in Asian HIV-infected patients with gastric cancer: a single-center study

description: Additional file 1: Table S1. Baseline clinicopathologic features and preoperative laboratory tests of GC patients living with HIV. Table S2. Univariate and multivariate analysis of clinicopathologic variables in relation to OS in GC patients without HIV infection. Table S3. Univariate and multivariate analysis of clinicopathologic variables in relation to PFS in GC patients without HIV infection. Figure S1. The Kaplan-Meier survival analysis of Overall Survival and Progression Free Survival between HIV-related and non-HIV related GC patients.
DOI: 10.6084/m9.figshare.26591945.v1
title: Additional file 1 of Preoperative Platelet-Lymphocyte Ratio (PLR) as a prognostic inflammation biomarker in Asian HIV-infected patients with gastric cancer: a single-center study

description: Additional file 1: Table S1. Baseline clinicopathologic features and preoperative laboratory tests of GC patients living with HIV. Table S2. Univariate and multivariate analysis of clinicopathologic variables in relation to OS in GC patients without HIV infection. Table S3. Univariate and multivariate analysis of clinicopathologic variables in relation to PFS in GC patients without HIV infection. Figure S1. The Kaplan-Meier survival analysis of Overall Survival and Progression Free Survival between HIV-related and non-HIV related GC patients.
DOI: 10.17632/fhkwtyz7cz.1
title: The impact of virtual reality technology in the era of See & Treat hysteroscopy: A Randomized Controlled Trial.

description: To evaluate the feasibility and effectiveness of virtual reality technology in outpatient hysteroscopy for improving pain and anxiety management and promoting the diffusion of see & treat philosophy.
DOI: 10.6084/m9.figshare.26565761
title: Additional file 1 of First record of monogenean fish parasites in the Upper Lufira River Basin (Democratic Republic of Congo): dactylogyrids and gyrodactylids infesting Oreochromis mweruensis, Coptodon rendalli and Serranochromis macrocephalus (Teleostei: Cichlidae)

description: Additional file 1. Voucher specimens of monogenean parasites available in the invertebrate collection of the Royal Museum of Central Africa, Tervuren, Belgium under accession numbers RMCA_VERMES_43743-44345.
DOI: 10.25345/c52r3p80q
title: MassIVE MSV000095596 - GNPS - Pleiocarpa_mutica bark alkaloid extract
title: LC-MS/MS analysis related to Pleiocarpa mutica bark alkaloid extract.
DOI: 10.15468/dl.jm5c5z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.22066 -32.351267, 149.225151 -32.351267, 149.225151 -32.353512, 149.227397 -32.353512, 149.227397 -32.344529, 149.225151 -32.344529, 149.225151 -32.346775, 149.22066 -32.346775, 149.22066 -32.351267)), ((149.22066 -32.351267, 149.218414 -32.351267, 149.218414 -32.353512, 149.22066 -32.353512, 149.22066 -32.351267)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066007-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26565761.v1
title: Additional file 1 of First record of monogenean fish parasites in the Upper Lufira River Basin (Democratic Republic of Congo): dactylogyrids and gyrodactylids infesting Oreochromis mweruensis, Coptodon rendalli and Serranochromis macrocephalus (Teleostei: Cichlidae)

description: Additional file 1. Voucher specimens of monogenean parasites available in the invertebrate collection of the Royal Museum of Central Africa, Tervuren, Belgium under accession numbers RMCA_VERMES_43743-44345.
DOI: 10.17632/2skprbg88y.1
title: Trip Purpose Classification

description: In this repository we have available two different datasets for trip purpose classification, one focused for the binary task - trip_purpose_binary_dataset.csv - and one the multiclass task - trip_purpose_multiclass_dataset.csv -. Understanding the purpose behind each trip is crucial for analyzing travel behavior and patterns. Trip purpose data provides valuable insights into why people travel, whether for work, education, leisure, or other activities. This information is essential for urban planning, transportation policy-making, and improving public transit services. By analyzing trip purposes, we can better predict travel demand, optimize traffic flow, and design more efficient and sustainable transportation systems. This dataset, therefore, serves as a foundational tool for researchers, planners, and policymakers aiming to enhance mobility and quality of life in urban areas. Both the datasets are anonymized, and were collected for research purposes only.
DOI: 10.17632/98s3brhnyf.1
title: Terpenoids from Daphne pedunculata and their cytotoxic activities in vitro

description: This dataset is the research data of the article titled "Terpenoids from Daphne pedunculata and Their Cytotoxic Activities In Vitro". The highlights of the research are:
1. Three new terpenoids, including two tigliane-type diterpenoids and one daucane sesquiterpenoid, were isolated from Daphne pedunculata H. F. Zhou ex C. Y. Chang.
2. Compounds 2, 5, and 8 showed moderate cytotoxic activities against A549, MDA-MB-231, and SW480 cancer cell lines.
3. Compound 2 inhibited A549 cell growth in a concentration-dependent manner, indicating its potential as an anticancer agent.used for supplemtary
DOI: 10.17632/khyczxvydc.1
title: Curiosity

description: Experiment 1
Experiment 2
DOI: 10.6084/m9.figshare.26591810
title: Additional file 1 of Ultrasound detected increase in optic disk height to identify elevated intracranial pressure: a systematic review

description: Additional file: 1. Bias analysis.
DOI: 10.6084/m9.figshare.26591810.v1
title: Additional file 1 of Ultrasound detected increase in optic disk height to identify elevated intracranial pressure: a systematic review

description: Additional file: 1. Bias analysis.
DOI: 10.25835/hl5nqg81
title: Bethe ansatz data for the staggered six-vertex model with antidiagonal boundary conditions

description: Bethe ansatz data for the dual and non-dual configurations of an excited state. Further, Bethe roots data for the ground state and first excited state of the staggered six-vertex model with antidiagonal boundary conditions in phase III.

For details see Holger Frahm and Sascha Gehrmann: "Finite-size spectrum of the staggered six-vertex model with antidiagonal boundary conditions", Nucl. Phys. B __1006__ (2024) 116655 [arXiv:2405.20919].
DOI: 10.15468/dl.3m2a7s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.182481 -36.710362, 149.182481 -36.7171, 149.189218 -36.7171, 149.189218 -36.710362, 149.182481 -36.710362))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066008-240626123714530/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.26591903
title: Additional file 1 of Balancing selection on the complement system of a wild rodent

description: Table S1: List of excluded complement genes. Table S2: Summary of test statistics and categorization for all complement genes. Table S3: Primer details for Sanger sequencing.
DOI: 10.6084/m9.figshare.26591903.v1
title: Additional file 1 of Balancing selection on the complement system of a wild rodent

description: Table S1: List of excluded complement genes. Table S2: Summary of test statistics and categorization for all complement genes. Table S3: Primer details for Sanger sequencing.
DOI: 10.6084/m9.figshare.26652951
title: Additional file 2 of SPOCK1, as a potential prognostic and therapeutic biomarker for lung adenocarcinoma, is associated with epithelial-mesenchymal transition and immune evasion

description: Additional file 2.
DOI: 10.6084/m9.figshare.26652951.v1
title: Additional file 2 of SPOCK1, as a potential prognostic and therapeutic biomarker for lung adenocarcinoma, is associated with epithelial-mesenchymal transition and immune evasion

description: Additional file 2.
DOI: 10.15468/dl.9e9bwj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.23638 -32.346775, 149.23638 -32.351267, 149.243118 -32.351267, 149.243118 -32.346775, 149.23638 -32.346775))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066009-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13318298
title: Multi-year high time resolution measurements of fine PM at 13 sites of the French Operational Network (CARA program)

description: These datasets correspond to long-term measurements of atmospheric aerosol components from Aerosol Chemical Speciation Monitor (ACSM) and multi-wavelength Aethalometer (AE33) instruments collected between 2015 and 2021 at 13 (sub)urban sites as part of the French CARA program. 

The datasets contain the mass concentrations of major chemical species within PM1, namely organic aerosols (OA), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl-), and equivalent black carbon (eBC). 

Rigorous quality control, technical validation, and environmental evaluation processes were applied, adhering to both the guidance from the French reference laboratory for air quality monitoring and the Aerosol, Clouds, and Trace gases Research Infrastructure (ACTRIS) standard operating procedures.

These data are discussed in an article in submission, please cite it when using the data.
DOI: 10.5281/zenodo.10790142
title: Multi-year high time resolution measurements of fine PM at 13 sites of the French Operational Network (CARA program)

description: These datasets correspond to long-term measurements of atmospheric aerosol components from Aerosol Chemical Speciation Monitor (ACSM) and multi-wavelength Aethalometer (AE33) instruments collected between 2015 and 2021 at 13 (sub)urban sites as part of the French CARA program. 

The datasets contain the mass concentrations of major chemical species within PM1, namely organic aerosols (OA), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl-), and equivalent black carbon (eBC). 

Rigorous quality control, technical validation, and environmental evaluation processes were applied, adhering to both the guidance from the French reference laboratory for air quality monitoring and the Aerosol, Clouds, and Trace gases Research Infrastructure (ACTRIS) standard operating procedures.

These data are discussed in an article in submission, please cite it when using the data.
DOI: 10.5281/zenodo.13318595
title: SiWiRoRa - Simulated Wind-turbine Rotor-blade Radargrams

description: SiWiRoRa

SiWiRoRa stand for 'Simulated Wind-turbine Rotor-blade Radargrams'.

Overview

A novel kind of dataset comprised of 9504 grayscale images (quadratic, 224 px) representing simulated radargrams. SiWiRoRa enables analytical machine-learning experiments in the emerging area of radar-based computer-vision research on wind-turbine rotor blades. Here, radargrams are images showing distance on the horizontal x-axis (increasing from left to right) and time on the vertical y-axis (increasing from top to bottom) as well as reflected intensity given by the colorscale (increasing from black to white).

Details

Geometries have been modeled using Cyberbotics Webots (1188 different configurations) and stochastic elements have been added in post-processing (additional 8 independent repetitions per 1 configuration). Besides this aforementioned stochastic noise, the dataset has a full-factorial design consisting in... 



9 distinct levels of rotor speeds (clockwise rotation when viewed from the exterior onto the rotor and the radar behind it)

11 levels of the yaw angles (between radar direction and nacelle orientation)

6 variations of wind pressure (forcing the rotor closer to the radar)

2 different time offsets (corresponding to alternative triggers of the radar)


Geometries have been chosen so as to yield non-axisymmetrical radargrams (even apart from noise).

Acknowledgements

The present dataset complements and has been inspired by the field measurements published under

https://doi.org/10.5281/zenodo.8366654

(Hyperlink is provided in the References section).
DOI: 10.5281/zenodo.13318594
title: SiWiRoRa - Simulated Wind-turbine Rotor-blade Radargrams

description: SiWiRoRa

SiWiRoRa stand for 'Simulated Wind-turbine Rotor-blade Radargrams'.

Overview

A novel kind of dataset comprised of 9504 grayscale images (quadratic, 224 px) representing simulated radargrams. SiWiRoRa enables analytical machine-learning experiments in the emerging area of radar-based computer-vision research on wind-turbine rotor blades. Here, radargrams are images showing distance on the horizontal x-axis (increasing from left to right) and time on the vertical y-axis (increasing from top to bottom) as well as reflected intensity given by the colorscale (increasing from black to white).

Details

Geometries have been modeled using Cyberbotics Webots (1188 different configurations) and stochastic elements have been added in post-processing (additional 8 independent repetitions per 1 configuration). Besides this aforementioned stochastic noise, the dataset has a full-factorial design consisting in... 



9 distinct levels of rotor speeds (clockwise rotation when viewed from the exterior onto the rotor and the radar behind it)

11 levels of the yaw angles (between radar direction and nacelle orientation)

6 variations of wind pressure (forcing the rotor closer to the radar)

2 different time offsets (corresponding to alternative triggers of the radar)


Geometries have been chosen so as to yield non-axisymmetrical radargrams (even apart from noise).

Acknowledgements

The present dataset complements and has been inspired by the field measurements published under

https://doi.org/10.5281/zenodo.8366654

(Hyperlink is provided in the References section).
DOI: 10.5281/zenodo.2553233
title: CLDF dataset derived from Lieberherr and Bodt's "Comparative Wordlists of Kho-Bwa" from 2017

description: Cite the source of the dataset as:




Lieberherr, Ismail and Bodt, Timotheus Adrianus (2017): Sub-grouping Kho-Bwa based on shared core vocabulary. Himalayan Linguistics 16(2). 26-63. URL: https://escholarship.org/uc/item/4t27h5fg
DOI: 10.15468/dl.syy6gd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.240097 -36.712608, 143.240097 -36.7171, 143.244588 -36.7171, 143.244588 -36.712608, 143.240097 -36.712608))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066010-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.17211930
title: The data used in the figures throughout the text
DOI: 10.5281/zenodo.17211929
title: The data used in the figures throughout the text
DOI: 10.15468/dl.wn9b65
title: Occurrence Download

description: A dataset containing 927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloranthus oldhamii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 927 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023036-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nd53u
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023037-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3w328
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023038-250920141307145/datasets/export for details.
DOI: 10.15468/dl.7pcjrm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023039-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17211369
title: Raw dataset: Social Media Use, Fear of Missing Out (FOMO), and Sleep Quality in Iranian Generation Z

description: This dataset contains raw survey responses (N = 400) collected from Iranian Generation Z (ages 13–28) in 2025. Variables include daily social media use (hours per day), sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI), fear of missing out (10-item FOMO scale), and basic demographics (age and gender). Data are fully anonymized and provided in Excel format to support replication and further analysis.
DOI: 10.5281/zenodo.17211370
title: Raw dataset: Social Media Use, Fear of Missing Out (FOMO), and Sleep Quality in Iranian Generation Z

description: This dataset contains raw survey responses (N = 400) collected from Iranian Generation Z (ages 13–28) in 2025. Variables include daily social media use (hours per day), sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI), fear of missing out (10-item FOMO scale), and basic demographics (age and gender). Data are fully anonymized and provided in Excel format to support replication and further analysis.
DOI: 10.15468/dl.csmdks
title: Occurrence Download

description: A dataset containing 2996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cleome rutidosperma",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2996 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023041-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdfm6a
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023044-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ghx6v
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 259 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023042-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86gmvy
title: Occurrence Download

description: A dataset containing 2254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa vulgaris",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2254 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023043-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185308.10fu
title: SH0185308.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185309.10fu
title: SH0185309.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185310.10fu
title: SH0185310.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.