diff --git a/data/about.en.md b/data/about.en.md
index cd4a1c9..503dce8 100644
--- a/data/about.en.md
+++ b/data/about.en.md
@@ -1,11 +1,12 @@
-The LASSO platform was developed as part of the I-SITE FUTURE project - 2020 call for "exploratory" projects. Additional funding was provided by the ETIS laboratory (joint research department between CYU Cergy Paris University, ENSEA Graduate School of Electrical Engineering and CNRS/INS2I). The researchers behind the project are mainly Dr. Pierre AUMOND, Pr. Catherine Lavandier and Dr. Paul Chapron. The technical implementation of the platform was carried out by the company OuestWare. 
+La plateforme LASSO a été développée dans le cadre du projet I-SITE FUTURE - appel à projets "exploratoires" de 2020. Un financement supplémentaire a été fourni par le laboratoire ETIS (unité mixte de recherche entre l'Université CYU Cergy Paris, l'École d'ingénieurs en électricité ENSEA et le CNRS/INS2I). Les chercheurs à l'origine du projet sont principalement le Dr. Pierre AUMOND, la Pr. Catherine Lavandier et le Dr. Paul Chapron. La mise en œuvre technique de la plateforme a été réalisée par la société OuestWare.
 
-All the authors would like to thank the sources of funding.
+Tous les auteurs souhaitent remercier les sources de financement.
 
-We hope this platform will inspire further work on the mapping of urban sound environments!
+Nous espérons que cette plateforme inspirera d'autres travaux sur la cartographie des environnements sonores urbains !
 
-![alt text](https://www.umrae.fr/fileadmin/contributeurs/UMRAE/UMRAE-logo.png)
-![alt text](https://www.univ-gustave-eiffel.fr/fileadmin/logo_univ_gustave_eiffel_rvb.svg)
-![alt text](https://www.etis-lab.fr/wp-content/uploads/2022/01/etis_lo_SLOGAN_H_RVB.svg)
-![alt text](https://www.etis-lab.fr/wp-content/uploads/2021/12/CNRS-150x150.png)
-![alt text](https://www.etis-lab.fr/wp-content/uploads/2021/12/ensea-150x150.png)
\ No newline at end of file
+
+![alt text](https://www.umrae.fr/fileadmin/contributeurs/UMRAE/UMRAE-logo.png){:height="100px"}
+![alt text](https://www.univ-gustave-eiffel.fr/fileadmin/logo_univ_gustave_eiffel_rvb.svg){:height="100px"}
+![alt text](https://www.etis-lab.fr/wp-content/uploads/2022/01/etis_lo_SLOGAN_H_RVB.svg){:height="100px"}
+![alt text](https://www.etis-lab.fr/wp-content/uploads/2021/12/CNRS-150x150.png){:height="100px"}
+![alt text](https://www.etis-lab.fr/wp-content/uploads/2021/12/ensea-150x150.png){:height="100px"}
diff --git a/data/nantes/bibliography.default.md b/data/nantes/bibliography.default.md
index be6f7f7..a1c8ec9 100644
--- a/data/nantes/bibliography.default.md
+++ b/data/nantes/bibliography.default.md
@@ -1,4 +1,8 @@
 # Bibliography
 
+Allès, C., Aumond, P., Guiu, C., & Can, A. Paysages sonores (2/2). Inégalités sociales et environnements sonores. ATLAS SOCIAL DE LA MÉTROPOLE NANTAISE,  Au-delà de la ville attractive, 2023. https://asmn.univ-nantes.fr/index.php?id=924
+
+Allès, C., Aumond, P., Guiu, C., & Can, A. Paysages sonores (2/2). Inégalités sociales et environnements sonores. ATLAS SOCIAL DE LA MÉTROPOLE NANTAISE,  Au-delà de la ville attractive, 2023. https://asmn.univ-nantes.fr/index.php?id=933
+
 Aumond, P., Guiu, C., Allès, C., & Can, A. (2020, October). Participative and interdisciplinary data collection for the study of urban soundscapes. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 261, No. 3, pp. 3227-3234). Institute of Noise Control Engineering.
 
diff --git a/data/nantes/dataset.en.md b/data/nantes/dataset.en.md
index c2edf28..03afea3 100644
--- a/data/nantes/dataset.en.md
+++ b/data/nantes/dataset.en.md
@@ -1,3 +1,7 @@
 # About Dataset
 
-blalbalblba
+You can refer to this article for a complete overview of the dataset: Aumond, P., Guiu, C., Allès, C., & Can, A. (2020, October). Participative and interdisciplinary data collection for the study of urban soundscapes. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 261, No. 3, pp. 3227-3234). Institute of Noise Control Engineering.
+
+The continuous maps proposed are interpolations between the questionnaires completed by the students.
+
+The strategic noise map is inspired by the 2022 deadline of the Environmental Noise Prevention Plan and is displayed for informational purposes. To consult the exact results, please refer directly to the Environmental Noise Prevention Plan of Nantes Métropole: https://www.loire-atlantique.gouv.fr/Actions-de-l-Etat/Environnement/Bruit/Plans-de-prevention-du-bruit-dans-l-environnement-PPBE
diff --git a/data/nantes/dataset.fr.md b/data/nantes/dataset.fr.md
index 9cc978d..ed7b9ca 100644
--- a/data/nantes/dataset.fr.md
+++ b/data/nantes/dataset.fr.md
@@ -1,3 +1,9 @@
-# A propos du jeux de données
+# A propos du jeu de données
+
+Vous pouvez vous référer à cet article pour avoir l'ensemble des informations sur le jeu de données : Aumond, P., Guiu, C., Allès, C., & Can, A. (2020, October). Participative and interdisciplinary data collection for the study of urban soundscapes. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 261, No. 3, pp. 3227-3234). Institute of Noise Control Engineering.
+
+Les cartes continues proposés sont des interpolations entre les questionnaires effectués par les étudiants.
+
+La carte stratégique du bruit est inspirée de l'échéance 2022 du plan de prévention du bruit dans l'environnement et est affichée à titre informatif. Pour consulter les résultats exacts, merci de se référer directement au plan de prévention du bruit dans l'environnement de Nantes Métropole : https://www.loire-atlantique.gouv.fr/Actions-de-l-Etat/Environnement/Bruit/Plans-de-prevention-du-bruit-dans-l-environnement-PPBE
+
 
-blalbalblba
diff --git a/data/nantes/project.default.md b/data/nantes/project.default.md
index 43807ed..34b2484 100644
--- a/data/nantes/project.default.md
+++ b/data/nantes/project.default.md
@@ -1,3 +1,8 @@
 # Paysages Sonores Nantais - Nantes Sounscape
 
+
+Dans le cadre du programme pédagogique pour les étudiants de première année de la Faculté de Géographie à l'Université de Nantes, les étudiants sont invités à passer une semaine « hors de la salle de classe ». En 2019 et 2020, le thème était la découverte des paysages sonores de Nantes. Chaque mois de mars de ces années, environ 120 étudiants se sont rendus sur le terrain en groupes de 5 durant 3 après-midis. L'après-midi du mardi était consacrée à la collecte de données physiques et subjectives sur 20 points d'écoute par groupe, situés sur le réseau piétonnier et routier. Au total, 650 points d'écoute ont été étudiés. Pour chacun de ces points, 3 minutes de mesures (LAeq et LA90) ont été effectuées à l'aide de l'application NoiseCapture. De plus, de 1 à 5 étudiants ont rempli des questionnaires sur leur perception de l'environnement sonore (cercle circumplexe d'affect, présence temporelle des sources sonores, structure temporelle de l'environnement sonore, etc.).
+
+---
+
 As part of the pedagogical curriculum for first year students in the Faculty of Geography at the University of Nantes, students are invited to spend a week "outside the classroom". In 2019 and 2020, the theme was the discovery of the soundscapes of Nantes. Each March of those years, about 120 students went to their field in groups of 5 during 3 afternoons. Tuesday afternoon was devoted to collecting physical and subjective data on 20 listening points per group, located on the pedestria n and road network. In total, 650 listening points were investigated. For each of these points, 3 minutes of measurements (L Aeq and L A90 were calculated) were carried out using the NoiseCapture app. In addition, 1 to 5 students filled questionnaires on the ir perception of the sound environment (circumplex circle of affect, time presence of sound sources, temporal structure of the sound environment...).
\ No newline at end of file
diff --git a/data/nantes/sponsors.default.md b/data/nantes/sponsors.default.md
index 5ee51ff..4198abd 100644
--- a/data/nantes/sponsors.default.md
+++ b/data/nantes/sponsors.default.md
@@ -1,3 +1,8 @@
-# Fundings
+# Fundings - Financements
+
+Ce projet est basé sur une collaboration avec la faculté de géographie de l'Université de Nantes.
+
+-- 
+
+This project is based on a collaboration with the geography faculty of the University of Nantes.
 
-This project is based on a collaboration with the geography faculty of the University of Nantes.
\ No newline at end of file
diff --git a/data/projects.json b/data/projects.json
index e7c37c2..1738abb 100644
--- a/data/projects.json
+++ b/data/projects.json
@@ -1 +1 @@
-{"bbox":[[-3.502509121957583,47.1577659503],[2.373436,48.840974]],"projects":[{"id":"nantes","name":{"en":"Soundscape of Nantes","fr":"Paysages Sonores Nantais"},"description":{"en":"First-year Geography students at the University of Nantes spent a week outside of class to explore Nantes' soundscapes in 2019 and 2020. In groups of five, they collected physical and subjective data on 20 listening points per group, totaling 650 points. They used the NoiseCapture app to measure LAeq and LA90 for three minutes at each point, and some students completed perception questionnaires about their feelings, sound source presence, and sound environnement temporal structure.","fr":"Les étudiants de première année de la Faculté de Géographie de l'Université de Nantes sont invités à passer une semaine hors de la salle de classe dans le cadre de leur programme pédagogique. En 2019 et 2020, le thème était la découverte des paysages sonores de Nantes. Chaque mois de mars de ces années-là, environ 120 étudiants se sont rendus sur le terrain en groupes de 5 pendant 3 après-midis. L'après-midi du mardi était consacrée à la collecte de données physiques et subjectives sur 20 points d'écoute par groupe, situés sur le réseau piétonnier et routier. Au total, 650 points d'écoute ont été étudiés. Pour chacun de ces points, 3 minutes de mesures (L Aeq et L A90 ont été calculés) ont été effectuées à l'aide de l'application NoiseCapture. De plus, de 1 à 5 étudiants ont rempli des questionnaires sur leur perception de l'environnement sonore (cercle circumplexe d'affect, temps de présence des sources sonores, structure temporelle de l'environnement sonore, etc.)."},"image":"/lasso/data/nantes/logo.jpeg","sources":{"GeoAllInterp":{"attribution":{"fr":"Aumond, Guiu, Allès, Can, 2019-2020","en":"Aumond, Guiu, Allès, Can, 2019-2020"},"type":"geojson","data":"/lasso/data/nantes/GeoAllInterp.geo.json","variables":{"emotion_pleasant":"meanagr","emotion_eventful":"meanani","acoustic_trafic":"meantra","acoustic_birds":"meanbrd","acoustic_voices":"meancav","acoustic_soundlevel":"meannoi"}},"GeoAll":{"attribution":"Aumond, Guiu, Allès, Can, 2019-2020","type":"geojson","data":"/lasso/data/nantes/GeoAll.geo.json","variables":{"emotion_pleasant":"Plea","emotion_eventful":"Even","acoustic_trafic":"Road","acoustic_birds":"Bird","acoustic_voices":"CaVo","acoustic_soundlevel":"Nois"}},"LdenMap":{"attribution":"Nantes Agglomeration - PPBE 2017","type":"geojson","data":"/lasso/data/nantes/LdenMap.geo.json"}},"maps":[{"id":"Lden","name":{"fr":"LDEN - dB(A) - Carte de bruit stratégique","en":"LDEN - dB(A) - Standard Noise Map"},"basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"low_lden","source":"LdenMap","beforeId":"building","metadata":{"interactive":false},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","DB_Low"],50,["to-color","#E2F2BF"],55,["to-color","#F3C683"],60,["to-color","#E87E4D"],65,["to-color","#CD463E"],70,["to-color","#A11A4D"],75,["to-color","#75085C"],80,["to-color","#430A4A"]]}}]},{"id":"questionnaire","name":"Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"loc","source":"GeoAll","beforeId":"building","type":"circle","circle-stroke-color":"grey","circle-color":"grey"}]},{"id":"pleasant","name":"Pleasant - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"emotion_pleasant","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","emotion_pleasant"],0,["to-color","#d4322c"],5,["to-color","#f2f0eb"],10,["to-color","#22964f"]]}}]},{"id":"eventful","name":"EventFull - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"emotion_eventful","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","emotion_eventful"],0,["to-color","#151aaf"],5,["to-color","#f2f0eb"],10,["to-color","#dee401"]]}}]},{"id":"birds","name":"Birds - Perceived time presence - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"acoustic_birds","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_birds"],0,["to-color","#E7F4E4"],10,["to-color","#004529"]]}}]},{"id":"trafic","name":"Traffic - Perceived time presence - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"acoustic_trafic","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_trafic"],0,["to-color","#F2EFE9"],10,["to-color","#0B0B0B"]]}}]},{"id":"voices","name":"Voices - Perceived time presence - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"acoustic_voices","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_voices"],0,["to-color","#FFF8DC"],10,["to-color","#8B4513"]]}}]},{"id":"soundlevel","name":"Perceived Sound Level - Interpolated Questionnaires","basemapStyle":"/lasso/data/nantes/bright_matter_PA.json","layers":[{"id":"acoustic_soundlevel","source":"GeoAllInterp","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_soundlevel"],0,["to-color","#F2EFE9"],10,["to-color","#0B0B0B"]]}}]}],"pages":{"project":{"default":"project.default.md"},"dataset":{"en":"dataset.en.md","fr":"dataset.fr.md"},"sponsors":{"default":"sponsors.default.md"},"bibliography":{"default":"bibliography.default.md"}},"bbox":[[-1.6289673384,47.1577659503],[-1.4309340888,47.2772814889]],"color":"#1335d9"},{"id":"cense","name":"ANR CENSE","description":{"en":"The CENSE project aims to propose a new methodology for the production of more realistic noise maps, based on the assimilation of simulated and measured data through a dense network of low-cost sensors. Beyond the production of physical indicators, the project also focuses on the perceptual characterization of sound environments. The soundscape maps present the results of a survey of the inhabitants of the study area (Lorient city centre).","fr":"Les cartes de paysages sonores présentent les résultats d'une enquête réalisée auprès d'habitants du centre ville de Lorient."},"image":"/lasso/data/cense/logo.jpeg","sources":{"Geo2":{"attribution":"Pierre Aumond, ANR CENSE Project","type":"geojson","data":"/lasso/data/cense/Geo2.geo.json","variables":{"emotion_pleasant":"meanAgr","emotion_eventful":"meanAni","acoustic_trafic":"meanTra","acoustic_birds":"meanBrd","acoustic_voices":"meanCaV"}},"LdenMap":{"attribution":"Lorient Agglomeration - PPBE 2017","type":"geojson","data":"/lasso/data/cense/LdenMap.geo.json"}},"maps":[{"id":"Lden","name":"LDEN - dB(A) - Standard Noise Map - Beate ColorScheme","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"low_lden","source":"LdenMap","beforeId":"building","metadata":{"interactive":false},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","DB_LO"],50,["to-color","#E2F2BF"],55,["to-color","#F3C683"],60,["to-color","#E87E4D"],65,["to-color","#CD463E"],70,["to-color","#A11A4D"],75,["to-color","#75085C"],80,["to-color","#430A4A"]]}}]},{"id":"pleasant","name":"Pleasant","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"emotion_pleasant","source":"Geo2","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","emotion_pleasant"],0,["to-color","#d4322c"],3.5,["to-color","#f2f0eb"],7,["to-color","#22964f"]]}}]},{"id":"eventful","name":"EventFul","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"emotion_eventful","source":"Geo2","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","emotion_eventful"],0,["to-color","#151aaf"],3.5,["to-color","#f2f0eb"],7,["to-color","#dee401"]]}}]},{"id":"birds","name":"Birds - Perceived time presence - Interpolated Questionnaires - light to dark Green","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"acoustic_birds","source":"Geo2","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_birds"],0,["to-color","#E7F4E4"],7,["to-color","#004529"]]}}]},{"id":"trafic","name":"Traffic - Perceived time presence - Interpolated Questionnaires - light to dark Black","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"acoustic_trafic","source":"Geo2","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_trafic"],0,["to-color","#F2EFE9"],7,["to-color","#0B0B0B"]]}}]},{"id":"voices","name":"Voices - Perceived time presence - Interpolated Questionnaires - Beige to Orange","basemapStyle":"/lasso/data/cense/bright_matter_PA.json","layers":[{"id":"acoustic_voices","source":"Geo2","beforeId":"building","metadata":{"interactive":true},"type":"fill","paint":{"fill-color":["interpolate",["linear"],["get","acoustic_voices"],0,["to-color","#FFF8DC"],7,["to-color","#8B4513"]]}}]}],"pages":{"project":{"default":"project.default.md"},"dataset":{"default":"dataset.default.md"},"sponsors":{"default":"sponsors.default.md"},"bibliography":{"default":"bibliography.default.md"}},"bbox":[[-3.502509121957583,47.69651257536886],[-3.285556977465856,47.810642614034414]],"color":"#dd28e1"},{"id":"cartasur","name":"ADEME Cart_ASUR","description":{"en":"The objective of this research operation was to develop a mapping tool representing the quality of the urban soundscape. Through a participatory campaign of users using a mobile phone, more than 3400 data were collected in only 1 year. This data was used to propose linear regression models that explain the quality of the noise environment.","fr":"L'objectif de cette opération de recherche a été d’élaborer un outil cartographique représentant la qualité du paysage sonore urbain. Grâce à une campagne participative d’usagers à l’aide d’un téléphone mobile, plus de 3400 données ont pu être recueillies en seulement 1 an. 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