cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2908/ilc_atst05
title: Personen, die öffentliche Verkehrsmittel nutzen, nach Häufigkeit, Verstädterungsgrad und Haushaltszusammensetzung
title: Personnes utilisant les transports publics par fréquence, degré d’urbanisation et composition des ménages
title: Persons using public transport by frequency, degree of urbanization and household composition

description: Dieser Indikator misst den Anteil der Personen, die öffentliche Verkehrsmittel nutzen oder nie nutzen, nach Verstädterungsgrad, Haushaltszusammensetzung und Nutzungshäufigkeit. Der Indikator bezieht sich auf die typische Verwendung in den letzten 12 Monaten. Der öffentliche Verkehr umfasst Busse, Straßenbahnen, Züge und U-Bahnen usw., nicht jedoch Fahrzeuge, die die Person nach eigenem Ermessen privat mieten kann (z. B. Taxi, Fahrrad).
description: This indicator measures the share of people using, or never using, public transport by degree of urbanisation, household composition and frequency of use. The indicator refers to typical use during the last 12 months. Public transport includes buses, trams, trains and underground/metro, etc., but it does not include vehicles that the person can rent privately at their own convenience (e.g. Taxi, bicycle).
description: Cet indicateur mesure la proportion de personnes utilisant, ou n’utilisant jamais, les transports publics par degré d’urbanisation, composition des ménages et fréquence d’utilisation. L’indicateur fait référence à une utilisation normale au cours des 12 derniers mois. Les transports publics comprennent les bus, les tramways, les trains et le métro, etc., mais ne comprennent pas les véhicules que la personne peut louer à titre privé à sa convenance (par exemple, Taxi, vélo).
DOI: 10.2908/ilc_atst01
title: Persons using public transport by frequency, age, sex and risk of poverty or social exclusion
title: Personnes utilisant les transports publics par fréquence, âge, sexe et risque de pauvreté ou d’exclusion sociale
title: Personen, die öffentliche Verkehrsmittel nutzen, nach Häufigkeit, Alter, Geschlecht und Risiko von Armut oder sozialer Ausgrenzung

description: Dieser Indikator misst den Anteil der Personen, die öffentliche Verkehrsmittel nutzen oder nie nutzen, nach Alter, Geschlecht, Risiko von Armut oder sozialer Ausgrenzung (AROPE) und Häufigkeit der Nutzung. Der Indikator bezieht sich auf die typische Verwendung in den letzten 12 Monaten. Der öffentliche Verkehr umfasst Busse, Straßenbahnen, Züge und U-Bahnen usw., nicht jedoch Fahrzeuge, die die Person nach eigenem Ermessen privat mieten kann (z. B. Taxi, Fahrrad).
description: This indicator measures the share of people using, or never using, public transport by age, sex, risk of poverty or social exclusion (AROPE) and frequency of use. The indicator refers to typical use during the last 12 months. Public transport includes buses, trams, trains and underground/metro, etc., but it does not include vehicles that the person can rent privately at their own convenience (e.g. Taxi, bicycle).
description: Cet indicateur mesure la proportion de personnes utilisant, ou n’utilisant jamais, les transports publics par âge, sexe, risque de pauvreté ou d’exclusion sociale (AROPE) et fréquence d’utilisation. L’indicateur fait référence à une utilisation normale au cours des 12 derniers mois. Les transports publics comprennent les bus, les tramways, les trains et le métro, etc., mais ne comprennent pas les véhicules que la personne peut louer à titre privé à sa convenance (par exemple, Taxi, vélo).
DOI: 10.2908/ilc_atst03
title: Persons using public transport by frequency, age, sex and disability (activity limitation)
title: Personnes utilisant les transports publics par fréquence, âge, sexe et handicap (limitation d’activité)
title: Personen, die öffentliche Verkehrsmittel nutzen, nach Häufigkeit, Alter, Geschlecht und Behinderung (Aktivitätsbeschränkung)

description: Dieser Indikator misst den Anteil der Personen, die öffentliche Verkehrsmittel nutzen oder nie nutzen, nach Alter, Geschlecht, Grad der Behinderung (Aktivitätsbeschränkung) und Häufigkeit der Nutzung. Der Indikator bezieht sich auf die typische Verwendung in den letzten 12 Monaten. Der öffentliche Verkehr umfasst Busse, Straßenbahnen, Züge und U-Bahnen usw., nicht jedoch Fahrzeuge, die die Person nach eigenem Ermessen privat mieten kann (z. B. Taxi, Fahrrad).
description: This indicator measures the share of people using, or never using, public transport by age, sex, level of disability (activity limitation) and frequency of use. The indicator refers to typical use during the last 12 months. Public transport includes buses, trams, trains and underground/metro, etc., but it does not include vehicles that the person can rent privately at their own convenience (e.g. Taxi, bicycle). 
description: Cet indicateur mesure la proportion de personnes utilisant, ou n’utilisant jamais, les transports publics par âge, sexe, niveau de handicap (limitation d’activité) et fréquence d’utilisation. L’indicateur fait référence à une utilisation normale au cours des 12 derniers mois. Les transports publics comprennent les bus, les tramways, les trains et le métro, etc., mais ne comprennent pas les véhicules que la personne peut louer à titre privé à sa convenance (par exemple, Taxi, vélo).
DOI: 10.15468/dl.hzgda7
title: Occurrence Download

description: A dataset containing 2698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-899.0",
 "Country is Italy",
 "TaxonKey is Anacamptis morio"
 ]
}

 The dataset includes 2698 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000046-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60905/9guwrh
title: Los estudiantes de Derecho urgen la elecci��n de decano

description: &lt;p&gt;Reuni��n entre miembros del Consejo Superior Estudiantil y el CSU para debatir la problem��tica en la elecci��n del decano de la facultad de Derecho y Ciencias Pol��ticas. Se present�� la terna por el consejo de asesores conformada por Carlos Gaviria D��az, Luis Gabriel Botero y Guillermo Ochoa Gonz��lez. El CSU viene haciendo reuniones informales y no se ha pronunciado al respecto. Insisten en la delegaci��n como decano de Luis Gabriel Botero y los estudiantes se niegan ante tal propuesta, argumentan incluso que prefieren al se��or Guillermo Ochoa si no reeligen a Carlos Gaviria. La noticia tambi��n menciona la continuidad de una huelga por esta situaci��n y el regreso del rector Lucrecio Jaramillo.&lt;/p&gt;
&lt;p&gt;Se menciona una declaraci��n del representante estudiantil Jes��s Mar��a Valle a El Colombiano sobre la situaci��n.&lt;/p&gt;
description: CONTEXTO DE LA NOTICIA: Convenci��n nacional conservadora en Colombia, Comienzan juzgados en c��rcel la Ladera, Nixon y Vietnam, Represalia contra L��bano, Retira del proyecto contra el liceo de la UdeA, Muerte de Marighela en Brasil, movimiento familiar cristiano en Medell��n.
DOI: 10.15468/dl.sbjazh
title: Occurrence Download

description: A dataset containing 46426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhizophora mangle, Avicennia germinans, Laguncularia racemosa, Conocarpus erectus, Pelliciera rhizophorae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-79 -4,-66 -4,-66 13,-79 13,-79 -4))"
 ]
}

 The dataset includes 46426 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000048-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415839
title: Data associated with "Extracting and evaluating plant trait information from digital text in the Global Biodiversity Information Facility (GBIF)"

description: The data associated with Katori and Oguro (2025) (https://doi.org/10.1101/2025.03.16.643436):

There are eight data files: A raw table presenting the all occurrence data on vascular plants downloaded from GBIF, containing the five columns used in this study as well as latitude and longitude data (File 1); Text and values of life span (LS), growth form (GF), flower color (FC), and plant height (PH), latitude, and longitude extracted from each occurrence of GBIF (Files 2-4); A species-level dataset of LS, GF, FC, and PHmax for five databases (GBIF, TRY, BIEN, eFloras, and Rice database)(File 5); Files relating to expressions used to extract FC from GBIF and eFloras (Files 6-8).

For detailed descriptions of each file and how to create the data, see "README.txt" and Katori and Oguro (2025) (https://doi.org/10.1101/2025.03.16.643436).
DOI: 10.18167/dvn1/da4kse
title: Documents regulating the prevention, use and surveillance of antibiotic resistance in Senegal

description: This dataset has been produced during the situational analysis of the governance of antibiotic resistance in Senegal, conducted in the framework of the DESIGN project. It describes the characteristics of the supra-national (continental and regional) and national documents that describe the prevention, use and surveillance activities in relation to antibiotic resistance in Senegal.
DOI: 10.5281/zenodo.18403919
title: The MERIT dataset: Modelling and efficiently rendering interpretable transcripts - Part 2 of 3

description: [Partition 2/3: rendered samples in English]

This dataset is linked to the MERIT Dataset paper, which introduces the MERIT Dataset, a multimodal, fully labeled dataset of school grade reports. Comprising over 400 labels and 33k samples, the MERIT Dataset is a resource for training models in demanding Visually-rich Document Understanding tasks. It contains multimodal features that link patterns in the textual, visual, and layout domains. The MERIT Dataset also includes biases in a controlled way, making it a valuable tool to benchmark biases induced in Language Models. The paper outlines the dataset’s generation pipeline and highlights its main features and patterns in its different domains. We benchmark the dataset for token classification, showing that it poses a significant challenge even for SOTA models.
DOI: 10.5281/zenodo.18403918
title: The MERIT dataset: Modelling and efficiently rendering interpretable transcripts - Part 2 of 3

description: [Partition 2/3: rendered samples in English]

This dataset is linked to the MERIT Dataset paper, which introduces the MERIT Dataset, a multimodal, fully labeled dataset of school grade reports. Comprising over 400 labels and 33k samples, the MERIT Dataset is a resource for training models in demanding Visually-rich Document Understanding tasks. It contains multimodal features that link patterns in the textual, visual, and layout domains. The MERIT Dataset also includes biases in a controlled way, making it a valuable tool to benchmark biases induced in Language Models. The paper outlines the dataset’s generation pipeline and highlights its main features and patterns in its different domains. We benchmark the dataset for token classification, showing that it poses a significant challenge even for SOTA models.
DOI: 10.15468/dl.p73a72
title: Occurrence Download

description: A dataset containing 797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GbifRegion is Latin America and the Caribbean",
 "Geometry POLYGON Z((-43.91964 -7.66822 0,-43.79291 -7.52691 0,-43.60719 -7.34717 0,-43.5185 -7.20487 0,-43.39092 -7.1291 0,-43.21692 -7.02343 0,-43.09802 -6.96608 0,-43.00919 -6.85272 0,-42.91527 -6.87042 0,-42.85949 -6.79195 0,-42.85908 -6.72831 0,-42.80628 -6.68553 0,-42.74686 -6.64535 0,-42.71658 -6.52568 0,-42.72644 -6.34499 0,-42.68209 -6.30843 0,-42.61377 -6.25741 0,-42.61103 -6.16735 0,-42.61937 -6.0465 0,-42.60809 -5.9911 0,-42.55078 -5.9477 0,-42.54804 -5.94388 0,-42.54253 -5.93812 0,-42.50219 -5.852 0,-42.50224 -5.85013 0,-42.50143 -5.84449 0,-42.50156 -5.83888 0,-42.51426 -5.74001 0,-42.51525 -5.73817 0,-42.51726 -5.73259 0,-42.57149 -5.70656 0,-42.63944 -5.73455 0,-42.69186 -5.78166 0,-42.75695 -5.89412 0,-42.80258 -6.05079 0,-42.789 -6.1663 0,-42.8703 -6.19575 0,-42.90123 -6.25483 0,-42.9002 -6.25669 0,-42.85263 -6.36127 0,-42.86364 -6.49851 0,-42.96317 -6.63853 0,-43.10842 -6.75431 0,-43.21145 -6.84205 0,-43.28421 -6.90373 0,-43.43817 -6.96416 0,-43.53731 -7.05349 0,-43.62693 -7.10414 0,-43.62968 -7.10795 0,-43.6306 -7.10891 0,-43.73408 -7.24061 0,-43.77981 -7.2917 0,-43.87834 -7.39187 0,-43.97877 -7.48536 0,-44.02337 -7.57448 0,-43.98865 -7.6494 0,-43.91964 -7.66822 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 797 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mq3hx
title: Occurrence Download

description: A dataset containing 21367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "Country is one of (Russian Federation, United States of America, Canada)",
 "TaxonKey is Odobenus rosmarus (Linnaeus, 1758)"
 ]
}

 The dataset includes 21367 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010453-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87zdrf
title: Occurrence Download

description: A dataset containing 5584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "Country is one of (Russian Federation, United States of America)",
 "TaxonKey is Phoca largha Pallas, 1811"
 ]
}

 The dataset includes 5584 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010456-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwx9bm
title: Occurrence Download

description: A dataset containing 9132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "Country is one of (United States of America, Russian Federation, Canada)",
 "TaxonKey is Erignathus barbatus (Erxleben, 1777)"
 ]
}

 The dataset includes 9132 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010462-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4wuu6
title: Occurrence Download

description: A dataset containing 7552 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio protenor"
 ]
}

 The dataset includes 7552 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4t65fe
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Month is January",
 "TaxonKey is Evernia prunastri",
 "Year 1994-2024"
 ]
}

 The dataset includes 787 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000052-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh3t6v
title: Occurrence Download

description: A dataset containing 1983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hoplerythrinus unitaeniatus"
 ]
}

 The dataset includes 1983 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000058-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415326
title: openfe_analysis_test_data

description: data migrated from figshare:

openfe_analysis_simulation_output:



migrated from https://figshare.com/articles/dataset/OpenFE_1_3_0beta_example_results_files/28263203

500ps complex simulation output


openfe_analysis_skipped:



migrated from https://figshare.com/articles/dataset/OpenFE_1_3_0beta_example_results_files/28263203





Relative free energy of a TYK2 benchmark system transformation using a beta release of OpenFE 1.3.0. Positions are written to file (simulation.nc) once every 100 frames, and velocities are never written.
DOI: 10.15468/dl.mt8r2a
title: Occurrence Download

description: A dataset containing 2851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Hoplerythrinus unitaeniatus, Hemisorubim platyrhynchos)"
 ]
}

 The dataset includes 2851 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000056-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18413673
title: ImmunAID-ms-parameters

description: # ImmunAID-ms-parameters


Normalization parameters used to generate the proteomics data for the paper:


**Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease**


## Content of FragPipe parameters folder

 

This repository includes two key configuration files for the FragPipe/MSFragger pipeline.


- The `fragger.params` file defines all database search settings (e.g. enzyme specificity, mass tolerances, allowed missed cleavages, and fixed/variable modifications), ensuring the MS/MS search is fully reproducible and its search space is clearly documented.


- The `sdrf.tsv` file follows the Sample and Data Relationship Format and describes the experimental design and sample metadata for each LC-MS/MS run (such as biological conditions, replicates, and raw file paths), enabling correct sample grouping, downstream statistical analysis, and transparent linkage between raw data and biological context.

 





## How to cite:

If you use these parameters, please cite it as follows:


Poulet, C., & Baiwir, D. (2026). ImmunAID-ms-parameters (Version 1.0.0) [Dataset]. University of Liège - GIGA Institute. Zenodo. https://doi.org/10.5281/zenodo.18413673

License: CC BY-NC-ND 4.0

Repository: https://gitlab.uliege.be/giga-rheumatology/public/immunaid-ms-parameters
DOI: 10.5281/zenodo.18413672
title: ImmunAID-ms-parameters

description: # ImmunAID-ms-parameters


Normalization parameters used to generate the proteomics data for the paper:


**Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still’s disease**


## Content of FragPipe parameters folder

 

This repository includes two key configuration files for the FragPipe/MSFragger pipeline.


- The `fragger.params` file defines all database search settings (e.g. enzyme specificity, mass tolerances, allowed missed cleavages, and fixed/variable modifications), ensuring the MS/MS search is fully reproducible and its search space is clearly documented.


- The `sdrf.tsv` file follows the Sample and Data Relationship Format and describes the experimental design and sample metadata for each LC-MS/MS run (such as biological conditions, replicates, and raw file paths), enabling correct sample grouping, downstream statistical analysis, and transparent linkage between raw data and biological context.

 





## How to cite:

If you use these parameters, please cite it as follows:


Poulet, C., & Baiwir, D. (2026). ImmunAID-ms-parameters (Version 1.0.0) [Dataset]. University of Liège - GIGA Institute. Zenodo. https://doi.org/10.5281/zenodo.18413673

License: CC BY-NC-ND 4.0

Repository: https://gitlab.uliege.be/giga-rheumatology/public/immunaid-ms-parameters
DOI: 10.15468/dl.43h6yf
title: Occurrence Download

description: A dataset containing 1225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomalia elma"
 ]
}

 The dataset includes 1225 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000059-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jheddv
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.36425 36.47713,-1.63461 36.47713,-1.63461 37.16869,-3.36425 37.16869,-3.36425 36.47713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Porcellio magnificus"
 ]
}

 The dataset includes 205 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000062-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcmsn8
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Attalea speciosa"
 ]
}

 The dataset includes 381 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000063-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z563p8
title: Occurrence Download

description: A dataset listing the 81 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Saproxylic fungi of fine woody debris studied by metabarcoding-based MycoPins method in Oulanka, Finland, 2022-2023",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricomycetes",
 "Year 2022-2023"
 ]
}

 The dataset's 81 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021253-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92nuwn
title: Occurrence Download

description: A dataset listing the 101 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Finland",
 "Geometry POLYGON((29 66.18,29.6 66.18,29.6 66.55,29 66.55,29 66.18))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricomycetes",
 "Year 2022-2023"
 ]
}

 The dataset's 101 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022012-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9wxpz
title: Occurrence Download

description: A dataset listing the 1937 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Finland",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricomycetes",
 "Year 2022-2023"
 ]
}

 The dataset's 1937 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022031-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.