cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7187851
title: Data and code for intuitive movement-based prosthesis control in virtual reality

description: This repository contains data and code for


Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality


Effie Segas1, Sébastien Mick1,2, Vincent Leconte1, Rémi Klotz3, Daniel Cattaert1, Aymar de Rugy1


1 Univ. Bordeaux, CNRS, INCIA, UMR 5287, F-33000 Bordeaux, France


2 ISIR UMR 7222, Sorbonne Université, CNRS, Inserm, F-75005, France


3 CMPR Tour de Gassies, F-33520 Bruges, France


 


 


It contains a dataset (DataOnline_2022_SPCA21 folder) of three experiments of able-bodied participants (Exp1 and Exp2 folders) and amputee participants (Exp3 folder) performing a pick-and-placed task in a virtual reality environment with or without movements-based Artificial Neural Networks (ANN) control involved. More information about these experiments could be find in the link publication (see related identifiers section).


Basic code files to perform data analysis and ANN training are provided in the CodeOnline_2022_SPCA21 folder. 


All the information needed to understand the structure of the DataOnline_2022_SPCA21 and CodeOnline_2022_SPCA21 folders and files are provided in CodeOnline_2022_SPCA21 folder.


The file SummaryOfFiles gives a description of all the files of the DataOnline_2022_SPCA21 folder, a file tree is also provided at the end of the document.


The files MainDataExplained and SensorsDataExplained list and give a description of the variables recorded during experiments in the phase files (e.g. PHASE.json and PHASE_sensors.json respectively).


The three ExpXFilesWorkflow files (with X =1,2,3) give an overview of the work-flow of experimental files creation during the X experiment.


The CodeExplanations file lists and gives a description of code files available in the CodeOnline_2022_SPCA21 folder. The DependencyTree file shows the code organisation. The GuideInstall file contains information needed to run the code files properly.
description: This work was supported by the CNRS interdisciplinary project RoBioVis, and the ANR-DGA-ASTRID grant CoBioPro (ANR-20-ASTR-0012-1).
DOI: 10.25345/c5cv4c32x
title: MassIVE MSV000094093 - 18114811Secondary metabolites of fungi MSMS spectrum uploading 20240215
title: Secondary metabolites of fungi 18114811Secondary metabolites of fungi MSMS spectrum uploading 20240215 18114811Secondary metabolites of fungi MSMS spectrum uploading 2024021518114811Secondary metabolites of fungi MSMS spectrum uploading 2024021518114811Secondary metabolites of fungi MSMS spectrum uploading 20240215
DOI: 10.5517/ccdc.csd.cc2c8vyg
title: CCDC 2183266: Experimental Crystal Structure Determination

description: Related Article: Cheng-Zhe Sun, Xue Lai, Tahir Rehman, Hanjian Lai, Chunxian Ke, Xiangyu Shen, Yulin Zhu, Leilei Tian, Feng He|2022|J.Mater.Chem.C|10|17174|doi:10.1039/D2TC03701G
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: 10.5517/ccdc.csd.cc2hmk3t
title: CCDC 2312696: Experimental Crystal Structure Determination

description: Related Article: Wen Zhang, Peng-Cheng Yu, Chen-Yun Feng, Chuang-Chuang Li|2024|J.Am.Chem.Soc.|146|2928|doi:10.1021/jacs.3c14150
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: 10.5517/ccdc.csd.cc2hmrd9
title: CCDC 2312891: Experimental Crystal Structure Determination

description: Related Article: Wen Zhang, Peng-Cheng Yu, Chen-Yun Feng, Chuang-Chuang Li|2024|J.Am.Chem.Soc.|146|2928|doi:10.1021/jacs.3c14150
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: 10.5517/ccdc.csd.cc2hmrhd
title: CCDC 2312894: Experimental Crystal Structure Determination

description: Related Article: Wen Zhang, Peng-Cheng Yu, Chen-Yun Feng, Chuang-Chuang Li|2024|J.Am.Chem.Soc.|146|2928|doi:10.1021/jacs.3c14150
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: 10.5517/ccdc.csd.cc2j2nz8
title: CCDC 2326270: Experimental Crystal Structure Determination

description: Related Article: Nathan C. Harvey-Reid, Debobroto Sensharma, Soumya Mukherjee, Komal M. Patil, Naveen Kumar, Sousa Javan Nikkhah, Matthias Vandichel, Michael J. Zaworotko, Paul E. Kruger|2024|ACS Applied Materials and Interfaces|16|4803|doi:10.1021/acsami.3c16634
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: 10.5281/zenodo.10665378
title: Dataset for "Dating fossil lower-crustal earthquakes by in-situ apatite U-Pb geochronology"

description: EBSD data used in the publication: Zertani, S., Menegon, L., Whitehouse, J., Jeon, Heejin., Jamtveit, B. (2024) Dating fossil lower-crustal earthquakes by in-situ apatite U-Pbgeochronology. Earth and Planetary Science Letters, XX, 118621. https://doi.org/10.1016/j.epsl.2024.118621
DOI: 10.5281/zenodo.10665379
title: Dataset for "Dating fossil lower-crustal earthquakes by in-situ apatite U-Pb geochronology"

description: EBSD data used in the publication: Zertani, S., Menegon, L., Whitehouse, J., Jeon, Heejin., Jamtveit, B. (2024) Dating fossil lower-crustal earthquakes by in-situ apatite U-Pbgeochronology. Earth and Planetary Science Letters, XX, 118621. https://doi.org/10.1016/j.epsl.2024.118621
DOI: 10.34740/kaggle/dsv/7630857
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10405743
title: Raw data: The novel gammaproteobacterial methanotroph "Ca. Methylocalor cossyra" CH1 actively coexists with verrucomicrobial methanotrophs in acidic and hot geothermal soil
DOI: 10.5281/zenodo.10405744
title: Raw data: The novel gammaproteobacterial methanotroph "Ca. Methylocalor cossyra" CH1 actively coexists with verrucomicrobial methanotrophs in acidic and hot geothermal soil
DOI: 10.14473/csda/70pzsc/ulvabj
title: TI_CHPSEN101_401.pdf

description: Technical documentation
DOI: 10.14473/csda/lyblja/yhfk4g
title: TI_CHPS102-103, 202-203, 302-303, 402-403.pdf

description: Technická informace k časovým snímkům (děti a dospělí)
DOI: 10.14473/csda/ikrsuw/mp2dbv
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technická informace - kontaktní formulář + tazatelé
DOI: 10.14473/csda/slq1vs/oyvf9t
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technická informace - kontaktní formulář
DOI: 10.14473/csda/hgzkpi/m6bgxz
title: D04_CHPS201.pdf

description: Dotazník 04 - Časový snímek dítě (10-17 let)
DOI: 10.14473/csda/hgzkpi/akyxhs
title: OM09_CHPS101, 201, 301, 401.tab

description: Ostatní materiály 09 - Seznam proměnných

Seznam proměnných se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností, zveřejněná data jsou dosud ale pouze do 3. vlny. Očekáváme, že 4. vlna bude dostupná příští rok zhruba někdy na konci zimního období.
DOI: 10.14473/csda/hgzkpi/kfvojw
title: TI_CHPS101, CHPS201.pdf

description: Technická informace

Technická informace se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností, zveřejněná data jsou dosud ale pouze do 3. vlny. Očekáváme, že 4. vlna bude dostupná příští rok zhruba někdy na konci zimního období.
DOI: 10.14473/csda/ns6meo/7tuur6
title: diar_deti_w2_chps_v1.0_cz.tab

description: :unav
DOI: 10.14473/csda/ns6meo/okqaz6
title: TI_CHPS102-103, 202-203, 302-303, 402-403.pdf

description: Technická informace k časovým snímkům (děti a dospělí)
DOI: 10.14473/csda/hgzkpi/tod59e
title: D05_CHPS201.pdf

description: Dotazník 05 - Časový snímek dospělý (18 a více let)
DOI: 10.14473/csda/llhu2d/7ixsu3
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technická informace - kontaktní formulář

Technická informace se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácnost.
DOI: 10.14473/csda/yos2kk/rpsuou
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technická informace - kontaktní formulář+ tazatelé

Technická informace se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností, zveřejněná data jsou dosud ale pouze do 3. vlny. Očekáváme, že 4. vlna bude dostupná příští rok zhruba někdy na konci zimního období.
DOI: 10.14473/csda/ympjwd/vk4330
title: D05_CHPS401.pdf

description: Dotazník 05 - Časový snímek dospělý (18 a více let)
DOI: 10.14473/csda/ympjwd/d96ngm
title: D04_CHPS401.pdf

description: Dotazník 04 - Časový snímek dítě (10-17 let)
DOI: 10.14473/csda/6xarqu/mabnhr
title: TI_CHPS102-03, 202-03, 302-03, 402-04.pdf

description: Technická informace k časovým snímkům (děti a dospělí)
DOI: 10.14473/csda/ifhtry/8iycuq
title: TI_CHPS102-03, 202-03, 302-03, 402-04.pdf

description: Technická informace k časovým snímkům (děti a dospělí)
DOI: 10.14473/csda/ifhtry/ztk4pf
title: CHPS303_dotaznik.pdf

description: Dotazník - časový snímek dospělí (18 a více let)
DOI: 10.14473/csda/oe0jjq/0oa6it
title: D05_CHPSEN401.pdf

description: Questionnaire_05 - Time use diary (Adult respondent - 18 year or older)
DOI: 10.14473/csda/rwi2im/18rwj4
title: TI_CHPSEN101_401.pdf

description: Technical documentation
DOI: 10.14473/csda/oe0jjq/nlqq9e
title: D04_CHPSEN401.pdf

description: Questionnaire_04 - Time use diary (Child 10-17)
DOI: 10.14473/csda/urczdk/mayrfh
title: TI_CHPS102-03, 202-03, 302-03, 402-04.pdf

description: Technická informace k časovým snímkům (děti a dospělí)
Technická informace se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností.
DOI: 10.14473/csda/8yads3/0v5buz
title: TI_CHPS102-03, 202-03, 302-03, 402-04.pdf

description: Technická informace se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností.
DOI: 10.14473/csda/qjwlgn/q9wiso
title: D04_CHPS301.pdf

description: Dotazník 04 - Časový snímek dítě (10-17 let)
DOI: 10.14473/csda/qjwlgn/tgq9qu
title: OM09_CHPS101, 201, 301, 401.tab

description: Ostatní materiály 09 - Seznam proměnných
Seznam proměnných se vztahuje ke všem čtyřem dosud realizovaným vlnám Českého panelového šetření domácností, zveřejněná data jsou dosud ale pouze do 3. vlny. Očekáváme, že 4. vlna bude dostupná příští rok zhruba někdy na konci zimního období.
DOI: 10.14473/csda/qjwlgn/60cspl
title: D05_CHPS301.pdf

description: Dotazník 05 - Časový snímek dospělý (18 a více let)
DOI: 10.6084/m9.figshare.25184537
title: Transcriptome annotation

description: Assembled transcripts and predicted peptides of <i>L. chagosensis</i><i> </i>were searched against the GenBank non-redundant sequence, UniProtKB/Swiss-Prot, and human proteome v.11.5 from STRING v.11 databases with an e-value cut-off of 1x10<sup>-5</sup>. Protein domains were identified by mapping the peptide sequences against Pfam 32.0 database using HMMER v3.3. The top Blastx and Blastp hits in UniProtKB/Swiss-Prot database and Pfam annotations for each transcript were then used as input into Trinotate v3.2.2 (Haas 2015) to generate a comprehensive annotation report. <br>
DOI: 10.14473/csda/56z9ln/6mlglh
title: TI_CHPSEN101_401.pdf

description: Technical documentation
DOI: 10.14473/csda/aoqnoh/gdixlv
title: TI_CHPSEN101_401.pdf

description: Technical documentation
DOI: 10.6084/m9.figshare.25225361
title: <b>Grassland degradation </b><b>amplifies the negative effect of nitrogen enrichment on soil microbial community stability</b>

description: Using data from nitrogen enrichment experiments at temperate grasslands with no, moderate, severe, and extreme degradation degrees, we evaluated the impacts of nitrogen enrichment on soil microbial community stability.
DOI: 10.6084/m9.figshare.25225361.v1
title: <b>Grassland degradation </b><b>amplifies the negative effect of nitrogen enrichment on soil microbial community stability</b>

description: Using data from nitrogen enrichment experiments at temperate grasslands with no, moderate, severe, and extreme degradation degrees, we evaluated the impacts of nitrogen enrichment on soil microbial community stability.
DOI: 10.14473/csda/apc2nv/dzvydb
title: D05_CHPSEN301.pdf

description: Questionnaire_05 - Time use diary (Adult respondent - 18 year or older)
DOI: 10.6084/m9.figshare.25185518
title: Sequence similarity, ortholog analysis, and gene content comparison

description: Pairwise sequence comparisons between L. chagosensis and other sponge species were performed using Blastp alignments at an e-value cutoff of 1 x 10−5. Orthologous gene families in the transcriptome of L. chagosensis and in the genomes or transcriptomes of other sponge species were identified using OrthoFinder (Emms and Kelly 2019). Predicted peptide sequences of representative sponge species were annotated against the Pfam 32.0 (Finn, et al. 2014) database and were assigned to their associated GO terms based on Blastp top hits (e-value ≤1 x 10−5) in UniProtKB/Swiss- Prot database. Percent abundance was computed relative to the total number of predicted peptides in each species. Protein families and molecular functions that distinguish calcareans from other sponges (LDA score ≥ 2, p &lt; 0.05) were determined using Linear Discriminant Analysis effect size (LDALEfSe) (Segata, et al. 2011).
DOI: 10.6084/m9.figshare.25185518.v1
title: Sequence similarity, ortholog analysis, and gene content comparison

description: Pairwise sequence comparisons between L. chagosensis and other sponge species were performed using Blastp alignments at an e-value cutoff of 1 x 10−5. Orthologous gene families in the transcriptome of L. chagosensis and in the genomes or transcriptomes of other sponge species were identified using OrthoFinder (Emms and Kelly 2019). Predicted peptide sequences of representative sponge species were annotated against the Pfam 32.0 (Finn, et al. 2014) database and were assigned to their associated GO terms based on Blastp top hits (e-value ≤1 x 10−5) in UniProtKB/Swiss- Prot database. Percent abundance was computed relative to the total number of predicted peptides in each species. Protein families and molecular functions that distinguish calcareans from other sponges (LDA score ≥ 2, p &lt; 0.05) were determined using Linear Discriminant Analysis effect size (LDALEfSe) (Segata, et al. 2011).
DOI: 10.14473/csda/apc2nv/8hjtr9
title: D04_CHPSEN301.pdf

description: Questionnaire_04 - Time use diary (Child 10-17)
DOI: 10.14473/csda/pg0whg/n5qa5c
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technical documentation contact forms and interviewers
DOI: 10.6084/m9.figshare.25185614
title: Gene expression analysis

description: Differentially expressed genes were identified using the edgeR (Robinson, et al. 569 2010) package in R. Genes were considered differentially expressed if upregulation or downregulation was ≥ 4-fold relative to the controls with a False Discovery Rate (FDR) ≤ 0.05. Pairwise comparisons were conducted between the Present Day samples and samples subjected to the other treatments.Gene co-expression networks were reconstructed using rlog-transformed expected counts through WGCNA (Langfelder and Horvath 2008) implemented in R. Hub genes (gene significance &gt; |0.2|; module membership &gt; |0.8|) within a module were identified and used in downstream analyses.Pfam and GO enrichment analyses for DEGs and module members were performed using a script (github.com/fle1/canolab_scripts/blob/master/Pfam_enrichment.R) and the topGO package (Alexa and Rahnenführer 2009) implemented in R. Pfam domains and GO terms with p-value &lt; 0.05 were considered significantly enriched.Blastp top hits for each hub gene were used as input in the KEGG pathway enrichment analysis (score &gt; 0.400 and FDR &lt; 0.01) in STRING v.11 (Mering, et al. 614 2003). Relative expression of sponge gene homologs in RCP 8.5 relative to the Present Day control was computed as the average sum of transcripts per million (TPM).
DOI: 10.6084/m9.figshare.25185614.v1
title: Gene expression analysis

description: Differentially expressed genes were identified using the edgeR (Robinson, et al. 569 2010) package in R. Genes were considered differentially expressed if upregulation or downregulation was ≥ 4-fold relative to the controls with a False Discovery Rate (FDR) ≤ 0.05. Pairwise comparisons were conducted between the Present Day samples and samples subjected to the other treatments.Gene co-expression networks were reconstructed using rlog-transformed expected counts through WGCNA (Langfelder and Horvath 2008) implemented in R. Hub genes (gene significance &gt; |0.2|; module membership &gt; |0.8|) within a module were identified and used in downstream analyses.Pfam and GO enrichment analyses for DEGs and module members were performed using a script (github.com/fle1/canolab_scripts/blob/master/Pfam_enrichment.R) and the topGO package (Alexa and Rahnenführer 2009) implemented in R. Pfam domains and GO terms with p-value &lt; 0.05 were considered significantly enriched.Blastp top hits for each hub gene were used as input in the KEGG pathway enrichment analysis (score &gt; 0.400 and FDR &lt; 0.01) in STRING v.11 (Mering, et al. 614 2003). Relative expression of sponge gene homologs in RCP 8.5 relative to the Present Day control was computed as the average sum of transcripts per million (TPM).
DOI: 10.6084/m9.figshare.25185794
title: HAC1/bZIP60/XBP1 structural and DNA-binding predicted models

description: Predicted 3D models of HAC1/bZIP60/XBP1 dimer pairs were built through SWISS-MODEL (Waterhouse, et al. 2018). Best-hit structural homologs based on the QMEANDisCO score were used as templates for predicting the protein structure.The binding potential of the predicted dimer pairs was then tested through in silico docking experiments. The CRE DNA substrate containing ‘aureo-box’, TGACGT, (Banerjee and Mitra 2020) from CREB structure PDB ID: 1DH3 (Schumacher, et al. 2000) was used as the ligand in the docking simulations through pyDockDNA (Rodriguez-Lumbreras, et al. 2022).
DOI: 10.6084/m9.figshare.25185794.v1
title: HAC1/bZIP60/XBP1 structural and DNA-binding predicted models

description: Predicted 3D models of HAC1/bZIP60/XBP1 dimer pairs were built through SWISS-MODEL (Waterhouse, et al. 2018). Best-hit structural homologs based on the QMEANDisCO score were used as templates for predicting the protein structure.The binding potential of the predicted dimer pairs was then tested through in silico docking experiments. The CRE DNA substrate containing ‘aureo-box’, TGACGT, (Banerjee and Mitra 2020) from CREB structure PDB ID: 1DH3 (Schumacher, et al. 2000) was used as the ligand in the docking simulations through pyDockDNA (Rodriguez-Lumbreras, et al. 2022).
DOI: 10.14473/csda/rtycaa/vywsbg
title: TI_CHPSEN101_401.pdf

description: Technical documentation
DOI: 10.14473/csda/1p8fr1/l1bjki
title: D04_CHPSEN201.pdf

description: Questionnaire_04 - Time use diary (Child 10-17)
DOI: 10.14473/csda/1p8fr1/0phxow
title: D05_CHPSEN201.pdf

description: Questionnaire_05 - Time use diary (Adult respondent - 18 year or older)
DOI: 10.14473/csda/wsaa5w/hruftv
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technická informace - kontaktní formulář + tazatelé
DOI: 10.6084/m9.figshare.25028357
title: Breizh5_Com+Dept+PaysTrad+PaysHisto_TEKBreizhProject_Chesnais

description: <b>Création d’un couche polygone multidimensionnelle pour la Région Bretagne</b><b>Objet:</b> La création d’une couche polygone pour l’analyse et la visualisation de données représentative des différentes échelles territoriales de la Région Bretagne<b>Sources:</b>· Communes de data.gouv.fr : https://www.data.gouv.fr/fr/datasets/communes· Départements de data.gouv.fr : https://www.data.gouv.fr/fr/datasets/departements· Pays Traditionnels (couche Bodlore) de geobreizh.bzh : https://www.geobreizh.bzh/fonds-de-cartes-de-bretagne-pour-les-geomaticiens/· Pays Historiques de geobreizh.bzh : https://www.geobreizh.bzh/fonds-de-cartes-de-bretagne-pour-les-geomaticiens/<b>Processing des données :</b>· Import des couches dans QGIS· Création d’indices spatiaux pour le geoprocessing des couches· Utilisation de la couche polygone de base des communes à laquelle j’ai rajouté les attributs en ordre croissant d’échelle (pays traditionnels, puis pays historiques puis départements) en utilisant la fonction « join attributes by location » plusieurs fois en superposant une couche supplémentaire à la précédente, en spécifiant de prendre seulement les attributs du polygon avec la plus grande surface de correspondance pour éviter les doublons sur chaque couche.· Nettoyage manuel final pour vérifier et se débarrasser des quelques problèmes de correspondance des polygones entre les différentes échelles.· Publication de la couche sur ArcGIS Gallery<br><br>
DOI: 10.6084/m9.figshare.25028357.v2
title: Breizh5_Com+Dept+PaysTrad+PaysHisto_TEKBreizhProject_Chesnais

description: <b>Création d’un couche polygone multidimensionnelle pour la Région Bretagne</b><b>Objet:</b> La création d’une couche polygone pour l’analyse et la visualisation de données représentative des différentes échelles territoriales de la Région Bretagne<b>Sources:</b>· Communes de data.gouv.fr : https://www.data.gouv.fr/fr/datasets/communes· Départements de data.gouv.fr : https://www.data.gouv.fr/fr/datasets/departements· Pays Traditionnels (couche Bodlore) de geobreizh.bzh : https://www.geobreizh.bzh/fonds-de-cartes-de-bretagne-pour-les-geomaticiens/· Pays Historiques de geobreizh.bzh : https://www.geobreizh.bzh/fonds-de-cartes-de-bretagne-pour-les-geomaticiens/<b>Processing des données :</b>· Import des couches dans QGIS· Création d’indices spatiaux pour le geoprocessing des couches· Utilisation de la couche polygone de base des communes à laquelle j’ai rajouté les attributs en ordre croissant d’échelle (pays traditionnels, puis pays historiques puis départements) en utilisant la fonction « join attributes by location » plusieurs fois en superposant une couche supplémentaire à la précédente, en spécifiant de prendre seulement les attributs du polygon avec la plus grande surface de correspondance pour éviter les doublons sur chaque couche.· Nettoyage manuel final pour vérifier et se débarrasser des quelques problèmes de correspondance des polygones entre les différentes échelles.· Publication de la couche sur ArcGIS Gallery<br><br>