cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5umwyt
title: Occurrence Download

description: A dataset containing 1618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Heloderma suspectum",
 "Year 1980-2024"
 ]
}

 The dataset includes 1618 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h2c2s
title: Occurrence Download

description: A dataset containing 1606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus montis",
 "Year 2024-2025"
 ]
}

 The dataset includes 1606 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240503
title: HIFLD OPEN Oil and Natural Gas Platforms

description: This feature class represents Offshore Oil and Gas Platforms in the Gulf of Mexico federal waters and off the US Pacific coast. An Offshore Platform is a facility constructed to extract and process oil and natural gas from wells drilled on the sea floor. It may also have drilling rigs and quarters for workers.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)<br>
DOI: 10.3886/e240503v1
title: HIFLD OPEN Oil and Natural Gas Platforms

description: This feature class represents Offshore Oil and Gas Platforms in the Gulf of Mexico federal waters and off the US Pacific coast. An Offshore Platform is a facility constructed to extract and process oil and natural gas from wells drilled on the sea floor. It may also have drilling rigs and quarters for workers.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)<br>
DOI: 10.15468/dl.qv6sw5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblystegium saxatile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002212-251120083545085/datasets/export for details.
DOI: 10.15468/dl.4zhy7z
title: Occurrence Download

description: A dataset containing 12475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Material sample, Specimen, Human Observation)",
 "Geometry POLYGON((20 30,36 30,36 40,20 40,20 30))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bivalvia",
 "Year 1993-2020"
 ]
}

 The dataset includes 12475 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002209-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tn44du
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dennisiella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 212 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002210-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17671738
title: VARCLIREFOR Dataset Deliverable 2.1.1 WP2
DOI: 10.5281/zenodo.17671737
title: VARCLIREFOR Dataset Deliverable 2.1.1 WP2
DOI: 10.15468/dl.xj73qt
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Threatened species occurrences, Denmark 1991-2015",
 "Geometry POLYGON((12.24613 55.9488,12.39271 55.9488,12.39271 56.06284,12.24613 56.06284,12.24613 55.9488))",
 "HasCoordinate is true",
 "Year 2013-2013"
 ]
}

 The dataset includes 266 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002213-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7zajb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblystegium serpens serpens",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002214-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30674378
title: Replication files for "<b>Water Infrastructure and Grain Yield: Evidence from the South-to-North Water Diversion Project</b>"

description: The “raster cell dataset” file must be unzipped before use.
DOI: 10.6084/m9.figshare.30674378.v1
title: Replication files for "<b>Water Infrastructure and Grain Yield: Evidence from the South-to-North Water Diversion Project</b>"

description: The “raster cell dataset” file must be unzipped before use.
DOI: 10.3886/e240501
title: HIFLD OPEN Obstruction Lines (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)<br>
DOI: 10.3886/e240501v1
title: HIFLD OPEN Obstruction Lines (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)<br>
DOI: 10.15468/dl.bxq5gt
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhaphidicyrtis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 204 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002215-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj2x3m
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melipona interrupta"
 ]
}

 The dataset includes 341 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002216-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fssdp6
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllostachys rivalis"
 ]
}

 The dataset includes 117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002217-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-b-000742973
title: Environmental impacts of pea, soy, and wheat protein are driven by processing methods and provenience - Data
DOI: 10.15468/dl.wt2wbq
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus grammiceps",
 "Year 2024-2025"
 ]
}

 The dataset includes 723 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68y374
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblystegium serpens juratzkanum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002218-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17671798
title: VARCLIREFOR Del2.1.2 WP2
DOI: 10.5281/zenodo.17671799
title: VARCLIREFOR Del2.1.2 WP2
DOI: 10.15468/dl.hu776t
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllostachys rubicunda"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkd8sx
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phaffomyces",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240502
title: HIFLD OPEN Obstruction Locations (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.3886/e240502v1
title: HIFLD OPEN Obstruction Locations (USACE IENC)

description: The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025. (Downloaded 08/26)
DOI: 10.5285/4142c5f0-29a9-94c8-e063-7086abc0a074
title: Carbonate system parameters (pH, TA) and metadata (S,T,P) measured by BORAbox #6 offshore Trinidad during ROV deployments onboard the commercial vessel 'Seven Seas' operated by Subsea7 from 6th December 2024 to 20th March 2025.

description: Through BORA Blue Ocean Research Alliance, scientists at the National Oceanography Centre (NOC) and engineers from Subsea7 have integrated novel sensors (BORAbox) onto a Hercules work class ROV on the Seven Seas vessel. The BORAbox measures carbonate system parameters during Subsea7 ROV operations. The BORAbox consists of NOC total alkalinity (TA) and Clearwater Sensors pH lab-on-chip microfluidic sensors and a MIDAS CTD to provide temperature, salinity and depth measurements. Data were collected in the North Atlantic Ocean offshore from Trinidad from 6th December 2024 until 20th March 2025 by BORAbox #6. Positional information was provided by the ROV. Funding support for this data collection was provided by BP.
DOI: 10.15468/dl.gdu64j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblystegium serpens salinum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002222-251120083545085/datasets/export for details.
DOI: 10.18419/darus-5180
title: QoI - Soot filaments
title: Database of soot filaments image snippets for generating synthetic training data

description: &lt;p&gt;
 This dataset contains the database of &lt;strong&gt;soot filaments&lt;/strong&gt; extracted from &lt;strong&gt;PIV (Mie scattering)&lt;/strong&gt; measurements, &lt;strong&gt;CFD simulations&lt;/strong&gt; and &lt;strong&gt;generative models&lt;/strong&gt;.
&lt;/p&gt;

&lt;p&gt;
 The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
&lt;/p&gt;

&lt;p&gt;
 For further details and citation, please refer to the submitted paper:&lt;br&gt;
 &lt;em&gt;B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)&lt;/em&gt;
&lt;/p&gt;

&lt;h3&gt;Data Samples:&lt;/h3&gt;

&lt;p&gt;
Real soot:
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397971" alt="Sample 1" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
Soot from generative models:
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397972" alt="Sample 2" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
Soot from simulations:
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397969" alt="Sample 3" width="30%"&gt;
&lt;/p&gt;
DOI: 10.18419/darus-5181
title: QoI - Tracer particles
title: Database of dense clusters of tracer particles (quantity of interest) for generating synthetic training data

description: &lt;p&gt;
 This dataset contains the database of image snippets of dense clusters of &lt;strong&gt;PIV tracer&lt;/strong&gt; particles (i.e. Mie scattering) marking the reactants within sooting flame measurements in an RQL-type combustor.
&lt;/p&gt;

&lt;p&gt;
 The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
&lt;/p&gt;

&lt;p&gt;
 For further details and citation, please refer to the submitted paper:&lt;br&gt;
 &lt;em&gt;B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)&lt;/em&gt;
&lt;/p&gt;

&lt;h3&gt;Data Samples:&lt;/h3&gt;

&lt;p&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397870" alt="Sample 1" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397872" alt="Sample 2" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397869" alt="Sample 3" width="30%"&gt;
&lt;/p&gt;
DOI: 10.18419/darus-5200
title: QoI - Droplets
title: Database of droplets (quantity of interest) for generating synthetic training data

description: &lt;p&gt;
 This dataset consists of a database of &lt;strong&gt;regular&lt;/strong&gt; and &lt;strong&gt;distorted&lt;/strong&gt; droplets with droplet clusters extracted from high-resolution &lt;strong&gt;shadowgraphy images&lt;/strong&gt; in technical sprays. It serves as a subclass for generating synthetic training data via domain randomisation, which is subsequently used to train Deep Learning (DL) based image segmentation models.
&lt;/p&gt;

&lt;p&gt;
 A more detailed description is provided in the corresponding paper:&lt;br&gt;
 &lt;a href="https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702"&gt;https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702&lt;/a&gt;
&lt;/p&gt;
&lt;h3&gt;Data Samples&lt;/h3&gt;
&lt;p&gt;
Regular droplets:
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/399456" alt="Sample 1" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
Distorted droplets:
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/448791" alt="Sample 2" width="30%"&gt;
&lt;/p&gt;
DOI: 10.18419/darus-5183
title: Nuisance - OOPObjs
title: Database of out-of-plane objects (measurement nuisance) for generating synthetic training data

description: &lt;p&gt;
 This dataset contains the database of &lt;strong&gt;Out Of Plane Objects (OOPObjs)&lt;/strong&gt; extracted from &lt;strong&gt;PIV (Mie scattering)&lt;/strong&gt; measurements within an RQL-type combustor.
&lt;/p&gt;

&lt;p&gt;
 The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
&lt;/p&gt;

&lt;p&gt;
 For further details and citation, please refer to the submitted paper:&lt;br&gt;
 &lt;em&gt;B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)&lt;/em&gt;
&lt;/p&gt;

&lt;h3&gt;Data Samples:&lt;/h3&gt;
&lt;p&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397861" alt="Sample 1" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397862" alt="Sample 2" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397860" alt="Sample 3" width="30%"&gt;
&lt;/p&gt;
DOI: 10.15468/dl.wezzst
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sporopachydermia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 357 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002223-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-5198
title: Nuisance - OOFObjs
title: Database of out-of-focus objects (measurement nuisance) for generating synthetic training data

description: &lt;p&gt;
 This dataset contains the database of &lt;strong&gt;Out Of Focus Objects (OOFObjs)&lt;/strong&gt;—currently mostly droplets and used for droplet sizing in shadowgraphy analysed sprays.
&lt;/p&gt;

&lt;p&gt;
 The database is one subclass utilised in the generation of synthetic training dataset via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
&lt;/p&gt;

&lt;p&gt;
 A more detailed description is provided in the corresponding paper:&lt;br&gt;
 &lt;a href="https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702"&gt;https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702&lt;/a&gt;
&lt;/p&gt;


&lt;h3&gt;Data Samples:&lt;/h3&gt;
&lt;p&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397857" alt="Sample 1" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397858" alt="Sample 2" width="30%"&gt;
 &lt;br&gt;&lt;br&gt;
 &lt;img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397856" alt="Sample 3" width="30%"&gt;
&lt;/p&gt;
DOI: 10.5281/zenodo.17671440
title: Evaluation of the AI4EDU Study Buddy & Teacher Mate for usability & technology acceptance: Questionnaires and anonymised data

description: This dataset contains anonymised qualitative and quantitative data collected from students and teachers during the usability and technology acceptance evaluation of the AI4EDU Study Buddy and Teacher Mate AI tools. The evaluation took place in Cyprus, Greece, Ireland, and Sweden between January 2023 and June 2024 as part of WP4 of the AI4EDU project (ERASMUS-EDU-2022-PI-FORWARD, Grant Agreement nº 101087451).

The dataset includes:





English versions of questionnaires for students and teachers (PDF)




Quantitative data from Likert-scale questions (Excel)




Qualitative comments and open-ended responses (Excel)



Data was collected following the evaluation methodology described in Deliverable D4.1 and informed the refinement of the AI4EDU applications (WP5). All data has been fully anonymised and complies with GDPR and national ethical standards.