cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10650631
title: NEK1 haploinsufficiency worsens DNA damage, but not defective ciliogenesis, in C9ORF72 patient-derived iPSC-motoneurons

description: Raw data from NEK1 Western Blot densitometry (QuantityOne) and image analysis (ImageJ) for C9ORF72 foci, gH2AX foci and primary cilia length
description: antonia.ratti@unimi.it
DOI: 10.5281/zenodo.10650632
title: NEK1 haploinsufficiency worsens DNA damage, but not defective ciliogenesis, in C9ORF72 patient-derived iPSC-motoneurons

description: Raw data from NEK1 Western Blot densitometry (QuantityOne) and image analysis (ImageJ) for C9ORF72 foci, gH2AX foci and primary cilia length
description: antonia.ratti@unimi.it
DOI: 10.5281/zenodo.14671429
title: Water level prediction from social media images with a multi-task ranking approach

description: For the paper: Water level prediction from social media images with a multi-task ranking approach

Link: https://www.sciencedirect.com/science/article/pii/S0924271620301842
DOI: 10.5281/zenodo.14671430
title: Water level prediction from social media images with a multi-task ranking approach

description: For the paper: Water level prediction from social media images with a multi-task ranking approach

Link: https://www.sciencedirect.com/science/article/pii/S0924271620301842
DOI: 10.15468/dl.fuwhtk
title: Occurrence Download

description: A dataset containing 15118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poecile lugubris (Temminck, 1820)"
 ]
}

 The dataset includes 15118 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072460-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3apxyf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.20688 46.47523,12.20366 46.49576,12.19143 46.585,12.16087 46.64002,12.05818 46.65224,12.02546 46.66825,11.99102 46.67553,11.98116 46.65469,11.98774 46.60666,11.99416 46.56784,11.96879 46.54339,11.97674 46.51405,12.02106 46.49296,12.10847 46.49877,12.16623 46.47615,12.20688 46.47523))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Saxifraga facchinii W.D.J.Koch, Cypripedium calceolus L., Androsace hausmannii Leyb., Artemisia genipi Weber, Crepis terglouensis (Hacq.) A.Kern., Draba dolomitica Buttler, Draba hoppeana Rchb., Juncus arcticus Willd., Myricaria germanica (L.) Desv., Rhizobotrya alpina Tausch, Taraxacum pacheri Sch.Bip.)"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072462-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7b9xb
title: Occurrence Download

description: A dataset containing 281949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BEL.3.5_1, BEL.3.1_1)",
 "TaxonKey is Plantae",
 "Year 2009-2025"
 ]
}

 The dataset includes 281949 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072438-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdzcnj
title: Occurrence Download

description: A dataset containing 8684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Prunus laurocerasus L.)",
 "Country is one of (Belgium)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Literature Occurrence, Specimen, Unknown evidence, Machine Observation)",
 "Year is greater than or equal to 1000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8684 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072463-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12597894
title: Dataset for publication by Lanari, P., & Tedeschi, M., (2024) Chemical map classification in XMapTools

description: DKE-350 Dataset (EPMA)



DKE-350.zip: Element intensity maps for sample DKE-350 (eclogite from the Lato Hills, Togo)

DKE-350_project.mat: XMapTools project file for sample DKE-350 (generated with XMapTools 4.4 beta 1


G1305 Dataset (EPMA)



G1305.zip: Element intensity maps for sample G1305 (albitite from the Gran Paradiso Massif in the Western Alps, France)

G1305_project.mat: XMapTools project file for sample G1305 (generated with XMapTools 4.4 beta 1


DKE-352 Dataset (LA-ICPMS)



DKE-352.zip: Element intensity maps for sample DKE-352 (eclogite from the Lato Hills, Togo)

DKE-352_project.mat: XMapTools project file for sample DKE-352 (generated with XMapTools 4.4 beta 1
DOI: 10.5281/zenodo.12597893
title: Dataset for publication by Lanari, P., & Tedeschi, M., (2025) Chemical map classification in XMapTools

description: DKE-350 Dataset (EPMA)



DKE-350.zip: Element intensity maps for sample DKE-350 (eclogite from the Lato Hills, Togo)

DKE-350_project_rev.mat: XMapTools project file for sample DKE-350 (generated with XMapTools 4.4 beta 2)


G1305 Dataset (EPMA)



G1305.zip: Element intensity maps for sample G1305 (albitite from the Gran Paradiso Massif in the Western Alps, France)

G1305_project.mat: XMapTools project file for sample G1305 (generated with XMapTools 4.4 beta 1)


DKE-352 Dataset (LA-ICPMS)



DKE-352.zip: Element intensity maps for sample DKE-352 (eclogite from the Lato Hills, Togo)

DKE-352_project.mat: XMapTools project file for sample DKE-352 (generated with XMapTools 4.4 beta 1)
DOI: 10.5281/zenodo.14671662
title: Dataset for publication by Lanari, P., & Tedeschi, M., (2025) Chemical map classification in XMapTools

description: DKE-350 Dataset (EPMA)



DKE-350.zip: Element intensity maps for sample DKE-350 (eclogite from the Lato Hills, Togo)

DKE-350_project_rev.mat: XMapTools project file for sample DKE-350 (generated with XMapTools 4.4 beta 2)


G1305 Dataset (EPMA)



G1305.zip: Element intensity maps for sample G1305 (albitite from the Gran Paradiso Massif in the Western Alps, France)

G1305_project.mat: XMapTools project file for sample G1305 (generated with XMapTools 4.4 beta 1)


DKE-352 Dataset (LA-ICPMS)



DKE-352.zip: Element intensity maps for sample DKE-352 (eclogite from the Lato Hills, Togo)

DKE-352_project.mat: XMapTools project file for sample DKE-352 (generated with XMapTools 4.4 beta 1)
DOI: 10.15468/dl.he5kkz
title: Occurrence Download

description: A dataset containing 97370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.14637 37.52736,-6.55981 36.93832,-6.44013 36.61588,-5.85261 35.98456,-5.56973 36.01977,-5.11278 36.36222,-4.05742 36.72932,-4.42734 37.54461,-4.97134 37.82015,-6.14637 37.52736))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 97370 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072459-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13818157
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The database takes the form of a single, large CSV table. Its fields are described in the readme file.

Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.5281/zenodo.13822764
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The database takes the form of a single, large CSV table. Its fields are described in the readme file.

Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.5281/zenodo.13822771
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The database takes the form of a single, large CSV table. Its fields are described in the readme file.

Database. Files 1_raw_data.zip and 2_corrected_data.zip contain plots and statistics used to assess the quality of the raw and revised data, respectively. Some are presented and discussed in our technical report (cf. above). The database itself is in file bref_20200708_v1.0.2.zip.

Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.5281/zenodo.13834830
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The first version of the database takes the form of a single, large CSV table. The second version of the BRÉF is a proper relational database obtained with the scripts available in the BrefConversion repository. Its tables and fields are described in the readme file.

Database. The database is available under three forms:



PostgreSQL binary dump: file bref_20240829_v.2.2.0.backup

SQL plain dump: file bref_20240829_v.2.2.0.sql.zip

Individual CSV files (one by table): bref_20240829_v.2.2.0_csv.zip


Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.5281/zenodo.13818156
title: BRÉF - Base Révisée des Élu·es de France

description: The BRÉF (Base Révisée des Élu·es de France / Revised database of representatives elected in France) is a database aiming at describing the mandates of all public representatives elected in France during the Fifth Republic (1958--present). It is based on the combination of data coming from of 4 sources:



Primary source: RNE (Registre National des Elus / National register of elected representatives), a database maintained by the French Ministry of Interior when monitoring elections.

Secondary sources:



National Assembly: open database provided by the French National Assembly regarding the mandates of Members of the Parliament.

Senate: open database provided by the French Senate, regarding senatorial mandates.

European Parliament: official website of the European Parliament, which lists the mandates of Members of the European Parliament.




The original data contain many errors and issues, which are documented in our technical report (in French), as well as the operations that we conducted to correct or alleviate them, as described in technical report [1]. The database was used during the PhD of Noémie Févrat [2].



V. Labatut, N. Févrat & G. Marrel, BRÉF – Base de données Révisée des Élu·es de France, Technical Report, Avignon Université, 2020. ⟨hal-02886580⟩

Févrat, N. Le mandat de trop ? La réélection des parlementaires et des maires en France et les conditions de sa remise en cause, PhD Thesis, Avignon Université, 2024. ⟨tel-04550896⟩


Source code. The source code that implements these operations is freely available on GitHub, as a collection of R scripts gathered in the BrefInit repository. The first version of the database takes the form of a single, large CSV table. The second version of the BRÉF is a proper relational database obtained with the scripts available in the BrefConversion repository. Its tables and fields are described in the readme.txt file.

Database. The database is available under three forms:



PostgreSQL binary dump: file bref_20250115_v2.2.1.backup

SQL plain dump: file bref_20250115_v2.2.1_sql.zip

Individual CSV files (one by table): bref_20250115_v2.2.1_sql.zip


Citation. If you use these data or the related source code, please cite reference [1]:

@TechReport{Labatut2020,  author           = {Labatut, Vincent and Févrat, Noémie and Marrel, Guillaume},  title            = {{BRÉF} -- {B}ase de données {R}évisée des {É}lu·es de {F}rance (BRÉF -- Revised Database of the Representatives Elected in {F}rance)},  institution      = {Avignon Université},  year             = {2020},  type             = {Technical Report},  address          = {Avignon, FR},}

Funding. This work was supported by the research federation Agorantic (FR 3621), through the funding of Noémie Fevrat’s PhD. and of interdisciplinary research project BRÉF2.
DOI: 10.15468/dl.m46tcd
title: Occurrence Download

description: A dataset containing 128356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-79.54821 -0.10034,-79.60128 -0.06154,-79.62365 0.04432,-79.59773 0.12162,-79.71002 0.18483,-79.66657 0.25578,-79.71748 0.2913,-79.70628 0.34365,-79.89488 0.31212,-79.90143 0.29243,-79.95604 0.19851,-79.99675 0.23291,-80.06124 0.06245,-80.14148 -0.04879,-80.29093 -0.18528,-80.38352 -0.24178,-80.40377 -0.30741,-80.493 -0.3994,-80.43824 -0.55809,-80.50777 -0.73903,-80.53861 -0.86474,-80.61768 -0.94416,-80.82865 -0.95713,-80.91253 -1.05827,-80.85085 -1.20583,-80.75603 -1.3211,-80.76912 -1.47854,-80.81758 -1.51435,-80.85263 -1.60095,-80.80276 -1.71148,-80.7479 -1.6684,-80.64417 -1.67544,-80.61702 -1.70943,-80.5202 -1.91951,-80.44037 -1.94301,-80.41928 -1.78612,-80.31298 -1.6902,-80.23428 -1.68772,-80.1953 -1.42185,-80.14696 -1.40563,-80.13747 -1.32411,-80.0868 -1.31956,-80.00593 -1.2362,-79.98224 -1.18281,-79.84412 -1.08259,-79.73094 -0.88441,-79.7051 -0.88321,-79.62215 -0.56353,-79.53695 -0.48579,-79.45992 -0.50373,-79.40184 -0.40255,-79.41021 -0.20857,-79.5083 -0.16889,-79.54821 -0.10034))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 128356 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192263-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eetqh5
title: Occurrence Download

description: A dataset containing 2804 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plasmopara viticola (Berk. & M.A.Curtis) Berl. & De Toni"
 ]
}

 The dataset includes 2804 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072465-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.