Olivier Crouzet

Research Field

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Citations (10)

Les communautés micro-algales et cyanobactériennes comme bioindicateurs de stress phytosanitaires dans les sols agricoles

HAL (Le Centre pour la Communication Scientifique Directe) (2015)

Olivier Crouzet Sylvie Nélieu Christelle Marrauld Ghislaine Delarue Frédéric Rimet

Les communautes micro-algales et cyanobacteriennes comme bioindicateurs de stress phytosanitaires dans les sols agricoles. 45e Congres du Groupe Francais des Pesticides Devenir et impact des pesticides : verrous a lever et nouveaux enjeux

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Stratification of Archaea in the Deep Sediments of a Freshwater Meromictic Lake: Vertical Shift from Methanogenic to Uncultured Archaeal Lineages

PLoS ONE (2012)

Guillaume Borrel Anne‐Catherine Lehours Olivier Crouzet Didier Jézéquel Karl J. Rockne

As for lineages of known methanogens, several lineages of uncultured archaea were recurrently retrieved in freshwater sediments. However, knowledge is missing about how these lineages might be affected and structured according to depth. In the present study, the vertical changes of archaeal communities were characterized in the deep sediment of the freshwater meromictic Lake Pavin. For that purpose, an integrated molecular approach was performed to gain information on the structure, composition, abundance and vertical stratification of archaeal communities thriving in anoxic freshwater sediments along a gradient of sediments encompassing 130 years of sedimentation. Huge changes occurred in the structure and composition of archaeal assemblages along the sediment core. Methanogenic taxa (i.e. Methanosaeta and Methanomicrobiales) were progressively replaced by uncultured archaeal lineages (i.e. Marine Benthic Group-D (MBG-D) and Miscellaneous Crenarchaeal Group (MCG)) which are suspected to be involved in the methane cycle.

Methanosaeta

Methanomicrobiales

Euryarchaeota

Crenarchaeota

10.1371/journal.pone.0043346

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Impact of soil fertilization with organic amendments on the dissemination of antibiotic resistance in cultivated soils

HAL (Le Centre pour la Communication Scientifique Directe) (2019)

Alain Hartmann Géraldine Depret Marjolaine Bourdat-Deschamps Sylvie Nélieu Sabine Favre‐Bonté

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Ecotoxicological impact of antibiotic mixtures on soil nitrogen cycling microbial guilds

HAL (Le Centre pour la Communication Scientifique Directe) (2016)

Viviane David Céline Roose‐Amsaleg Sylvie Nélieu Marjolaine Deschamps Fabrice Alliot

Cycling

Nitrogen Cycle

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Quels indicateurs microbiens pour évaluer l’impact écotoxicologique des pesticides sur des fonctions écosystémiques terrestres et aquatiques ?

HAL (Le Centre pour la Communication Scientifique Directe) (2017)

Fabrice Martin‐Laurent Olivier Crouzet Marion Devers‐Lamrani Jérèmie Beguet Laure Mamy

10.15454/1.5137846191320505e12

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Synergetic effect of antibiotic mixtures on soil bacterial N2O-reducing communities

Environmental Chemistry Letters (2020)

Céline Roose‐Amsaleg Viviane David Fabrice Alliot Elodie Moreau-Guigon Olivier Crouzet

Tylosin

Sulfamethoxazole

10.1007/s10311-020-01117-3

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Citations (19)

La biochimie environnementale au service de la recherche en écologie et écotoxicologie

Nathalie Cheviron Virginie Grondin Sylvie Nélieu Olivier Crouzet Mickaël Hedde

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word2vec model trained on lemmatized French Wikipedia 2018

Zenodo (CERN European Organization for Nuclear Research) (2019)

Étienne Gaudrain Olivier Crouzet

The files presented are trained word2vec models for French. Corpus The base corpus used for training is a dump of the French Wikipedia performed on 20 October 2018. The corpus was then processed to remove, as much as possible, the Mediawiki syntax, links, etc... Note that this is not perfect, but hopefully has little consequence on the weights calculated. The corpus was then POS-tagged and lemmatized with TreeTagger. The list of tags can be found here. During POS-tagging, each word is replaced with its lemma and is replaced with the syntax `[lemma]_[tag]`. For instance, the sentence "Il a sauté dans sa voiture" will produce this output:

il_PRO:PER avoir_VER:pres sauter_VER:pper dans_PRP son_DET:POS voiture_NOM

Word2vec training The training was performed using the gensim Python module (v3.5.0). The skip-grams method was used, with a size of 500, a window size of 5 and a minimum count of 5. This is how the model creation was invoked:

model = Word2Vec(size=500, window=5, min_count=5, workers=workers, sg=1)

Two versions of the model were trained: frwiki-20181020.treetag.2__2019-01-24_10.41__.s500_w5_skip.word2vec.bin
No extra processing was performed on the corpus before training. frwiki-20181020.treetag.2.ngram-pass2__2019-04-08_09.02__.s500_w5_skip.word2vec.bin
Where two passes of the 2-gram detection were ran before training. This allows detection of 2-, 3- and 4-grams in the vocabulary. The files are in the word2vec binary format, so can be used either with the original C implementation of word2vec, or with the Python gensim version (and possibly other libraries that support that format).

Word2vec

10.5281/zenodo.3241446

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Devenir et impact des substances médicamenteuses dans l’environnement : des thématiques de recherche d’importance croissante au sein du réseau

HAL (Le Centre pour la Communication Scientifique Directe) (2016)

Pierre Benoit Olivier Crouzet Sabine Houot Christian Mougin Sylvie Nélieu

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