Explore Mountain adventures in the Maurienne through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

High-resolution catalog of the Maurienne swarm described in the article: "Analysis of the spatio-temporal evolution of the Maurienne swarm (French Alps) based on earthquake clustering" (in review).

The following list describes the columns found in the file:

• CLUSTID: cluster the event belongs to;
• ORTIME: unified origin time;
• LAT_DD, LON_DD, DEP_DD: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) estimated with hypoDD using both catalog and crosscorrelation differential times;
• LAT_SP, LON_SP, DEP_SP: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) of the events used to analyze the spatiotemporal variations of seismicity. If an event of a cluster has not been relocated with hypoDD its location corresponds to the centroid of its cluster;
• LAT_MW, LON_MW, DEP_MW: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) of the events used to analyse the global b-value. If an event is not associated to a cluster relocated with hypoDD, its location is estimated with hypoDD using only catalog differential times. If this is not possible, the hypocenter of the original catalog is used;
• MW: moment magnitude.

Since July 2017, an active seismic swarm located in the Maurienne Valley (French Alps) has been monitored by the Observatory systems (SISMalp) of the Institute of Earh Science ISTerre, part of the RESIF national infrastructure. More than 5000 earthquakes (0.9 < M < 3.7) were recorded between July 2017 and February 2018, localised in a 10km square region. Since August 2017, SISMalp has deployed five additional and temporary seismological (BB) stations, around the epicentral region of the swarm.

Biomass production at 2085 horizon for the Maurienne valley (French Alps) estimated using a Bayesian Belief Network

https://doi.org/10.5061/dryad.pg4f4qrxd

This datasets comprise raster of biomass production for the Maurienne valley (French Alps). Values are expressed in 10^3 kg.km^-2.year^-1 of dry biomass matter. Rasters are in EPSG: 4326. Those results are the product of a Bayesian Belief Network, a full description of the model is available in the main publication linked to this deposit.

Description of the data and file structure

We provide several rasters of biomass production for time periods: 2020, 2050, 2085; across three future scenarios of land use and land cover change (see 10.5061/dryad.83bk3jb0h); across two future scenarios of climate change (RCP 4.5 and RCP 8.5) and across three modalities of adaptation solution implementation (Control, Silvopastoralism, Irrigation and fertilization).

Scenarios of future Land Use and L...

Explore Four Views in the Maurienne Valley, Savoy; Including One below La Chambre through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Local Urbanisation Plan (PLU) digitised. This lot informs the right to build in the municipality of SAINT-JEAN-DE-MAURIENNE. This PLU is digitised in accordance with the national requirements of the CNIG.

Explore Gezicht op Saint-Michel-de-Maurienne, met op de achtergrond de Mont Cenis through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Données relatives aux taxes de séjour Saint-Michel-de-Maurienne, Saint-Martin-de-la-Porte, Saint-Martin-d'Arc lors de l'hiver 2020-2021, collectées et produites par la Communauté de communes Maurienne-Galibier. Les données précisent les différents types d'hébergements, le nombre de lits par type d'hébergement, le montant de la taxe et le nombre de nuits facturées, toujours par type d'hébergement.

Data collected by G2A from a proprietary survey relating to accommodation in the Maurienne-Galibier Community of Communes.

The variables present in this dataset are: the number and type of property owned, how long, the description and the interior and exterior maintenance of the property, the frequency of use, the potential rental, if the owners participate in tourist life (skiing), data on their profile (e.g. woman, age, or other), data entry dates.

Prévision météorologique de la ville de Saint-Jean-de-Maurienne par Météo Villes

no abstract provided

The Maurienne valley downstream of Modane is characterised by numerous hydroelectric facilities and communication routes (railway, national road and highway) in a narrow valley that receives abundant sedimentary inputs from the entire watershed. These inputs are very important especially in fine sediments due to the lithology of some sub-basins pouring on the left bank of the Arc en Maurienne (black marls very erodable), especially by the Arvan torrent. Thus, the concentrations of Suspension Matter (MES) naturally observed in the river are very high, ranging from a few grams per litre to several tens of grams per litre during major hydrological events or torrential lava events. These high concentrations can have a strong impact on river morphodynamics, particularly on the deposition potential on pebble banks. The Arc-Isère experimental basin aims to better understand the dynamics of the MES and to estimate the possible evolutions of the Arc and Isère and the impact of hydroelectric development. To do this, it is important to clearly identify river intakes of both water and sediment and to assess the interactions between suspended sediments and the river bed. The rivers of the Arc and Arvan, its tributary, are each equipped with two limnimetric and turbidimetric measuring stations for large concentration ranges. Turbidity chronics are converted into suspended solid concentration chronics by analysis of manually collected samples and using automatic picker. The Isère is also equipped with several hydro-sedimentary measuring stations managed by scientific partners.

Données relatives au budget primitif, collectées et produites par la Communauté de Communes Maurienne-Galibier de façon annuelle. Ces données sont entre autre : Code SIRET, nature des dépenses, fonction des dépenses, type d’opération, montants réalisés, informations des comptes administratifs, propositions de recettes et dépenses nouvelles...

Prévision météorologique de la ville de Saint-Michel-de-Maurienne par Météo Villes

Données relatives aux taxes de séjour à Valmeinier lors de l'hiver 2020-2021, collectées et produites par la Communauté de communes Maurienne-Galibier. Les données précisent les différents types d’hébergements, le nombre de lits par type d’hébergement, le montant de la taxe et le nombre de nuits facturées, toujours par type d’hébergement.

The TPG programme for (Transect of pluviographs for analysis and modelling of Gradients of intensities at altitudes) ran from 1987 to 1995 and then from 1999 to 2004. During these two periods, 28 stations were equipped with pluviographs. The objective of this program was to estimate local peak and slope rainfall quantiles, based on regional results, in order to develop a precipitation model for altitude zones. The TPG network was established from 1987 in the pre-Alpes du Nord, along an axis joining Lyon (69) to Fond de France (38), thus crossing the Bas-Dauphiné/Chartreuse/Belledonne ensemble, for about 100 km. From 1999, the axis extended to the east (TPG East) in the department of Savoie to encompass the Maurienne valley and the related slopes.

Plan Local d'Urbanisme (PLU) numérisé. Ce lot informe du droit à bâtir sur la commune de SAINT-JEAN-DE-MAURIENNE. Ce PLU est numérisé conformément aux prescriptions nationales du CNIG.

Prévision météorologique de la ville de Les Chavannes-en-Maurienne par Météo Villes

Jeu de données APIDAE recensant différentes activités, fêtes et manifestations et hébergements au sein de la Collectivité de Communes. Le jeu de données se base sur : les adresses, le type (entité juridique), les spécificités (services, commerces etc.), les données mobiles, les adresses mail et les sites web. Ce jeu de données se base sur les activités (culturelles et sportives), les fêtes et manifestations, et les offres “séjour et produit package”.

Glacier mass balance (MB) data are crucial to understand and quantify the regional effects of climate on glaciers and the high-mountain water cycle, yet observations cover only a small fraction of glaciers in the world. We present a dataset of annual glacier-wide surface mass balance of all the glaciers in the French Alps for the 1967-2015 period. This dataset has been reconstructed using deep learning (i.e. a deep artificial neural network), based on direct MB observations and remote sensing annual estimates, meteorological reanalyses and topographical data from glacier inventories. The method’s validity was assessed through an extensive cross-validation against a dataset of 32 glaciers , with an estimated average error (RMSE) of 0.55 m.w.e. a^-1, an explained variance (r2) of 75% and an average bias of -0.021 m.w.e. a^-1. We estimate an average regional area-weighted glacier-wide MB of -0.71±0.21 (1 sigma) m.w.e. a^-1 for the 1967-2015 period, with negative mass balances in the 1970s (-0.44 m.w.e. a^-1), moderately negative in the 1980s (-0.16 m.w.e. a^-1), and an increasing negative trend from the 1990s onwards, up to -1.34 m.w.e. a^-1 in the 2010s. A comparison with ASTER-derived geodetic MB for the 2000-2015 period showed important differences with the photogrammetric geodetic MB used to train our model. When recalibrating our reconstructions with the new ASTER-derived geodetic MB, the estimated average regional area-weighted glacier-wide MB (1967-2015) is reduced to -0.64±0.21 (1 sigma) m.w.e. a^-1. Following a topographical and regional analysis, we estimate that the massifs with the highest mass losses for the 1967-2015 period are the Chablais (-0.93 m.w.e. a^-1), Champsaur and Haute-Maurienne (-0.86 m.w.e. a^-1 both) and Ubaye ranges (-0.83 m.w.e. a^-1), and the ones presenting the lowest mass losses are the Mont-Blanc (-0.69 m.w.e. a^-1), Oisans and Haute-Tarentaise ranges (-0.75 m.w.e. a^-1 both). This dataset provides relevant and timely data for studies in the fields of glaciology, hydrology and ecology in the French Alps, in need of regional or glacier-specific annual net glacier mass changes in glacierized catchments.

The MB dataset is presented in two different formats: (a) A single netCDF file containing the MB reconstructions, the recalibrated MB reconstructions, the glacier RGI and GLIMS IDs and the glacier names. This file contains all the necessary information to correctly interact with the data, including some metadata with the authorship and data units. (b) A dataset comprised of multiple CSV files, one for each of the 661 glaciers from the 2003 glacier inventory (Gardent et al., 2014), named with its GLIMS ID and RGI ID with the following format: GLIMS-ID_RGI-ID_SMB.csv. Both indexes are used since some glaciers that split into multiple sub-glaciers do not have an RGI ID. Split glaciers have the GLIMS ID of their "parent" glacier and an RGI ID equal to 0. Every file contains one column for the year number between 1967 and 2015 and another column for the annual glacier-wide MB time series. Glaciers with remote sensing-derived estimates (Rabatel et al., 2016) include this information as an additional column. This allows the user to choose the source of data, with remote sensing data having lower uncertainties (0.35±0.06 () m.w.e. a^-1 as estimated in Rabatel et al. (2016)). Columns are separated by semicolon (;).