cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/xgaatf
title: UNESCO eDNA expedition in Ningaloo Coast (Australia): May 2023

description: This dataset contains the eDNA data collected as a part of the UNESCO eDNA expeditions in Marine World Heritage Sites project in 2022-2024. The project was coordinated in collaboration with the Ocean Biodiversity Information System (OBIS) of IOC-UNESCO and the marine programme of the UNESCO World Heritage Center, and funded by the government of Flanders (Kingdom of Belgium). The samples were collected with citizen science eDNA sampling kits, containing a syringe and a filter, and preserved with Longmire's buffer, before sequencing at a central laboratory. Five different biomarkers were analysed, including 12SMifish, Mimammal, Teleo, 16S-Vert and COI markers. The sequences were analysed with the PacMAN pipeline and quality controlled including a validation check by local scientists and site managers as well as compared to existing knowledge on species distributions in OBIS and GBIF. The full sampling protocols and materials are available on the project website (https://www.unesco.org/en/edna-training-materials?hub=66910), and the bioinformatics pipeline is on github (https://github.com/iobis/PacMAN-pipeline). The data can also be explored on the eDNA expeditions dashboard (https://dashboard.ednaexpeditions.org/).
DOI: 10.15468/dl.2jzcnf
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.786966424239342 50.622246130718224,-6.786966424239342 50.622246130718224,-6.786966424239342 54.622246130718224,-10.786966424239342 54.622246130718224,-10.786966424239342 50.622246130718224))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sabellaria alveolata"
 ]
}

 The dataset includes 241 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011651-251120083545085/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.30731982.v1
title: Data used in analyses from Growth and development of staghorn fern colonies (Platycerium bifurcatum, Polypodiaceae)

description: Intuitive titles are listed in row one.
DOI: 10.6084/m9.figshare.30731982
title: Data used in analyses from Growth and development of staghorn fern colonies (Platycerium bifurcatum, Polypodiaceae)

description: Intuitive titles are listed in row one.
DOI: 10.15468/dl.s2smf8
title: Occurrence Download

description: A dataset containing 1042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echis carinatus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1042 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011653-251120083545085/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/13894177
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.60521/332517
title: Near-Bottom HOV Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature Data from the Astoria Canyon Canyon, acquired during R/V Atlantis expedition AT50-14 (2023)

description: This data set was acquired with a Navigation System,Sea-Bird Electronics SBE-49 FastCAT CTD and Aanderaa Data Instruments 5331 Oxygen Optode Sensor on Submersible Alvin during R/V Atlantis expedition AT50-14 conducted in 2023 (Chief Scientist: Dr. Laura Lapham). These data files are of NDSF SCC Text File (ASCII) format and include Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature data that were processed after acquisition and sampled at 1Hz. Data were acquired as part of the project: Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean. Funding was provided by NSF Award: OCE20-49517.
DOI: 10.60521/332526
title: Near-Bottom HOV Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature Data from the Galapagos Islands, acquired during R/V Atlantis expedition AT50-09BC (2023)

description: This data set was acquired with a Navigation System,Sea-Bird Electronics SBE-49 FastCAT CTD and Aanderaa Data Instruments 5331 Oxygen Optode Sensor on Submersible Alvin during R/V Atlantis expedition AT50-09BC conducted in 2023 (Chief Scientist: Dr. Daniel Fornari, Investigators: Dr. Daniel Fornari, Dr. Michelle Taylor). These data files are of NDSF SCC Text File (ASCII) format and include Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature data that were processed after acquisition and sampled at 1Hz. Data were acquired as part of the project: Collaborative Research: High-resolution volcanic stratigraphy and geochemical evolution of the Galapagos Platform. Funding was provided by NSF Award: OCE19-50959.
DOI: 10.60521/332522
title: Near-Bottom HOV Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature Data from the East Pacific Rise at 9N Spreading Center Segment, acquired during R/V Atlantis expedition AT50-20 (2024)

description: This data set was acquired with a Navigation System,Sea-Bird Electronics SBE-49 FastCAT CTD and Aanderaa Data Instruments 5331 Oxygen Optode Sensor on Submersible Alvin during R/V Atlantis expedition AT50-20 conducted in 2024 (Chief Scientist: Dr. Shawn Arellano). These data files are of NDSF SCC Text File (ASCII) format and include Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature data that were processed after acquisition and sampled at 1Hz. Data were acquired as part of the project: RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents. Funding was provided by NSF Award: OCE19-48580.
DOI: 10.15468/dl.b55r5u
title: Occurrence Download

description: A dataset containing 20947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudonaja textilis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 20947 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011654-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60521/332513
title: Near-Bottom HOV Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature Data from the Pacific Ocean Southern California Basin, acquired during R/V Atlantis expedition AT50-12 (2023)

description: This data set was acquired with a Navigation System,Sea-Bird Electronics SBE-49 FastCAT CTD and Aanderaa Data Instruments 5331 Oxygen Optode Sensor on Submersible Alvin during R/V Atlantis expedition AT50-12 conducted in 2023 (Chief Scientist: Dr. Lisa Levin). These data files are of NDSF SCC Text File (ASCII) format and include Conductivity, Navigation, Oxygen, Pressure, Sound Velocity and Temperature data that were processed after acquisition and sampled at 1Hz. Data were acquired as part of the project: Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems. Funding was provided by NSF Award: OCE20-48720.
DOI: 10.48670/moi-00196
title: Baltic Sea Cod Reproductive Volume from Reanalysis
DOI: 10.15468/dl.kes5vk
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Medical plants of Altai Mountain Country"
 ]
}

 The dataset includes 439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011656-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17734997
title: IDEA4RC Data Model

description: The IDEA4RC data model is a clinician-aligned, oncology-focused common data model designed specifically for rare cancers, built by integrating and extending the most useful elements of OSIRIS, OMOP Oncology, and HL7 FHIR. Its purpose is to capture the full longitudinal cancer journey, diagnosis, staging, treatments, outcomes, and disease evolution, while remaining simple enough for clinical teams to understand and validate. Structurally, it is organized around patient-centric cancer episodes, which link diagnoses, metastatic patterns, staging events, surgical acts, systemic and radiotherapy treatments, and follow-up information in a coherent temporal chain. Semantically, it relies on standard vocabularies (SNOMED CT, ICD-O, TNM) via the OHDSI Athena repository to ensure interoperability across centres. The model serves a dual role: internally, it provides a consistent structure for quality checks, NLP extraction, and federated analytics; externally, it maintains explicit mappings to OMOP and FHIR so that data can be exchanged or reused without losing granularity. Overall, the IDEA4RC data model balances interoperability, real-world clinical usability, and analytic readiness in a way that existing models did not, enabling reliable rare-cancer research across heterogeneous European centres.
DOI: 10.5281/zenodo.17734998
title: IDEA4RC Data Model

description: The IDEA4RC data model is a clinician-aligned, oncology-focused common data model designed specifically for rare cancers, built by integrating and extending the most useful elements of OSIRIS, OMOP Oncology, and HL7 FHIR. Its purpose is to capture the full longitudinal cancer journey, diagnosis, staging, treatments, outcomes, and disease evolution, while remaining simple enough for clinical teams to understand and validate. Structurally, it is organized around patient-centric cancer episodes, which link diagnoses, metastatic patterns, staging events, surgical acts, systemic and radiotherapy treatments, and follow-up information in a coherent temporal chain. Semantically, it relies on standard vocabularies (SNOMED CT, ICD-O, TNM) via the OHDSI Athena repository to ensure interoperability across centres. The model serves a dual role: internally, it provides a consistent structure for quality checks, NLP extraction, and federated analytics; externally, it maintains explicit mappings to OMOP and FHIR so that data can be exchanged or reused without losing granularity. Overall, the IDEA4RC data model balances interoperability, real-world clinical usability, and analytic readiness in a way that existing models did not, enabling reliable rare-cancer research across heterogeneous European centres.
DOI: 10.5281/zenodo.17533580
title: Compressed sensing expands the multiplexity of imaging mass cytometry

description: Tiff images, single cell data for the publication "Compressed sensing expands the multiplexity of imaging mass cytometry". The code used to produce the results of this study is available at https://github.com/BodenmillerGroup/CISI-IMC.
DOI: 10.5281/zenodo.17533579
title: Compressed sensing expands the multiplexity of imaging mass cytometry

description: Tiff images, single cell data for the publication "Compressed sensing expands the multiplexity of imaging mass cytometry". The code used to produce the results of this study is available at https://github.com/BodenmillerGroup/CISI-IMC.
DOI: 10.15468/dl.9z22xw
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lantana camara"
 ]
}

 The dataset includes 1046 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011659-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc2rfk
title: Occurrence Download

description: A dataset containing 22459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "HasCoordinate is true",
 "Geometry POLYGON((5.87 55.08, 15.04 55.08, 15.04 47.27, 5.87 47.27, 5.87 55.08))"
 ]
}

 The dataset includes 22459 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011658-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upez6w
title: Occurrence Download

description: A dataset containing 4303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes",
 "Year 2015-2025"
 ]
}

 The dataset includes 4303 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011660-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2nw20n
title: CCDC 2468871: Experimental Crystal Structure Determination

description: Related Article: Shivendu Mishra, Ajay Kumar Meena, Laxman Sarjerao Kharabe, Anrudh Mishra, Kuldeep Mahiya, Abhinav Raghuvanshi|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c00990
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.30695465
title: Impact of sodium glucose cotransporter 2 inhibitors on bladder cancer and breast cancer: a pharmacovigilance analysis and Mendelian randomization study

description: There is conflicting real-world evidence regarding the risk of breast and bladder cancer associated with sodium glucose cotransporter 2 (SGLT2) inhibitors. We conducted a pharmacovigilance study on SGLT2 inhibitors and breast and bladder cancer using the US FDA Adverse Event Reporting System (FAERS) and a Mendelian randomization (MR) study. We used AERSMine to mine adverse events from FAERS. We provided proportional reporting ratio (PRR) with 95% confidence interval (CI), and the lower limit of the 95% credible interval of the information component (IC<sub>025</sub>). A two-sample MR approach was used to investigate the causal relationship between SGLT2 inhibition and breast and bladder cancer. We did not find a disproportionate association between SGLT2 inhibitors (PRR = 1.26; 95%CI 1.05–1.51; <i>p</i> = 0.014; IC<sub>025</sub> = 0.01) and their molecules with breast cancer. SGLT2 inhibitors were associated with a disproportionately higher reporting frequency of bladder cancer events compared to metformin, dipeptidyl peptidase 4 inhibitors, or glucagon-like peptide-1 receptor agonists. MR analysis results showed that SGLT2 inhibition was associated with a higher risk of bladder cancer (odds ratio 1.01; 95%CI 1.00–1.01; <i>p</i> = 0.004). Our results suggest that the use of SGLT2 inhibitors is associated with a higher reporting frequency/risk of bladder cancer, rather than breast cancer.
DOI: 10.6084/m9.figshare.30695465.v1
title: Impact of sodium glucose cotransporter 2 inhibitors on bladder cancer and breast cancer: a pharmacovigilance analysis and mendelian randomization study

description: There is conflicting real-world evidence regarding the risk of breast and bladder cancer associated with sodium glucose cotransporter 2 (SGLT2) inhibitors. We conducted a pharmacovigilance study on SGLT2 inhibitors and breast and bladder cancer using the US FDA Adverse Event Reporting System (FAERS) and a Mendelian randomization (MR) study. We used AERSMine to mine adverse events from FAERS. We provided proportional reporting ratio (PRR) with 95% confidence interval (CI), and the lower limit of the 95% credible interval of the information component (IC<sub>025</sub>). A two-sample MR approach was used to investigate the causal relationship between SGLT2 inhibition and breast and bladder cancer. We did not find a disproportionate association between SGLT2 inhibitors (PRR = 1.26; 95%CI 1.05-1.51; <i>p</i> = 0.014; IC<sub>025</sub> = 0.01) and their molecules with breast cancer. SGLT2 inhibitors were associated with a disproportionately higher reporting frequency of bladder cancer events compared to metformin, dipeptidyl peptidase 4 inhibitors, or glucagon-like peptide-1 receptor agonists. MR analysis results showed that SGLT2 inhibition was associated with a higher risk of bladder cancer (odds ratio 1.01; 95%CI 1.00-1.01; <i>p</i> = 0.004). Our results suggest that the use of SGLT2 inhibitors is associated with a higher reporting frequency/risk of bladder cancer, rather than breast cancer.
DOI: 10.6084/m9.figshare.30695465.v2
title: Impact of sodium glucose cotransporter 2 inhibitors on bladder cancer and breast cancer: a pharmacovigilance analysis and Mendelian randomization study

description: There is conflicting real-world evidence regarding the risk of breast and bladder cancer associated with sodium glucose cotransporter 2 (SGLT2) inhibitors. We conducted a pharmacovigilance study on SGLT2 inhibitors and breast and bladder cancer using the US FDA Adverse Event Reporting System (FAERS) and a Mendelian randomization (MR) study. We used AERSMine to mine adverse events from FAERS. We provided proportional reporting ratio (PRR) with 95% confidence interval (CI), and the lower limit of the 95% credible interval of the information component (IC<sub>025</sub>). A two-sample MR approach was used to investigate the causal relationship between SGLT2 inhibition and breast and bladder cancer. We did not find a disproportionate association between SGLT2 inhibitors (PRR = 1.26; 95%CI 1.05–1.51; <i>p</i> = 0.014; IC<sub>025</sub> = 0.01) and their molecules with breast cancer. SGLT2 inhibitors were associated with a disproportionately higher reporting frequency of bladder cancer events compared to metformin, dipeptidyl peptidase 4 inhibitors, or glucagon-like peptide-1 receptor agonists. MR analysis results showed that SGLT2 inhibition was associated with a higher risk of bladder cancer (odds ratio 1.01; 95%CI 1.00–1.01; <i>p</i> = 0.004). Our results suggest that the use of SGLT2 inhibitors is associated with a higher reporting frequency/risk of bladder cancer, rather than breast cancer.
DOI: 10.34810/data2747
title: Diagnòstic de la realitat juvenil d’Olot

description: Diagnòstic de la realitat juvenil d'Olot. This dataset includes 1)The Questionnaire in catalan directed to youngsters 2)The Questionnaire in spanish directed to youngsters 3) The Questionnaire in english directed to youngsters 4)The script for the discussion session with professionals (in catalan) and 5) the data frame with the answers of youngsters (in Catalan).
description: Aquest dataset inclou: 1) qüestionari en català fet als joves; 2) qüestionari en castellà fet als joves; 3) qüestionari en anglès fet als joves; 4) document - guió per a una sessió de discussió que busca fer una radiografia de la realitat juvenil d’Olot (necessitats, interessos, preocupacions i expectatives) i 5) la taula de dades amb les respostes dels joves (en català). També identifica fortaleses, oportunitats, debilitats i amenaces en la feina amb joves de 16 a 29 anys i defineix els reptes per al nou pla local de joventut. Les dades utilitzades provenen principalment de l’Observatori Garrotxa, l’enquesta Garrotxa Jove de 2019, i el Pla local de Joventut d’Olot 2021-2024
description: Este dataset incluye: 1) cuestionario en catalán realizado a los jóvenes; 2) cuestionario en castellano realizado a los jóvenes; 3) cuestionario en inglés realizado a los jóvenes; 4) documento - guión para una sesión de discusión con la que se busca efectuar una radiografía de la realidad juvenil de Olot (necesidades, intereses, preocupaciones y expectativas) y 5) la tabla de datos con las respuestas de los jóvenes (en catalán). También identifica fortalezas, oportunidades, debilidades y amenazas en el trabajo con jóvenes de 16 a 29 años y define los retos para el nuevo plan local de juventud. Los datos utilizados provienen principalmente del Observatorio Garrotxa, la encuesta Garrotxa Jove de 2019, y el Plan local de Juventud de Olot 2021-2024
description: Recerca encarregada i finançada per l'ajuntament d'Olot
DOI: 10.15468/dl.b5cgz3
title: Occurrence Download

description: A dataset containing 25863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra",
 "Country is Norway"
 ]
}

 The dataset includes 25863 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011664-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2ymkp
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011655-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/fd-a97d2965-40ae-3b58-9776-9351e10400bb
title: SAFER SAGE SB07-08

description: SB07 and SB08 samples from SAFER SAGE. Results also included in https://www.bentonitedata.com/ Collective preview dataset at https://doi.org/10.23729/8b12faa6-0269-43ba-9ce6-1afd023869eb Preview dataset found at https://doi.org/10.23729/fd-179139a7-ca11-332f-a570-f81e13024e28 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.15468/dl.ugzbnu
title: Occurrence Download

description: A dataset containing 778198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 778198 records from 760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011642-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhuhkd
title: Occurrence Download

description: A dataset containing 66351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Luxembourg",
 "Year is 2025"
 ]
}

 The dataset includes 66351 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011649-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crr5z7
title: Occurrence Download

description: A dataset containing 3899693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GbifRegion is Europe and Central Asia",
 "Geometry POLYGON((-1.32104 46.63672,-1.02938 46.38703,-0.9161 45.82694,0.66978 45.93392,0.63202 46.97229,-0.0552 47.37832,-0.53774 47.09562,-0.90827 46.84339,-1.32104 46.63672))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3899693 records from 2460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011637-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.