maintainer: Océane Hames

en: openfoam snow-transport mosaic arctic-sea-ice snow-deposition

en: MOSAiC Met City preliminary (Level 2) wind data

media_type: zip-compressed folder of csv

en:
Extract from the preliminary MOSAiC atmospheric data (Level 2) for the time period 6th to 13th of November, 2019.
This data was used to set up the fluid forcing parameters in the snowBedFoam simulations on MOSAiC sea ice. It is being published in this repository with the kind permission from Matthew Shupe and his team.
The final processed and quality controlled version of this dataset (Level 3) has not been published yet. A complete reference will be added in this description once it is released.

en: snowBedFoam 1.0.

en:
OpenFOAM-2.3.0. scripts containing the implemented Eulerian-Lagrangian snow transport model.

The code file provided here is not updated. The most recent version of the script can be found on the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/atmospheric-models/snowbedfoam-v1-0.git

en: Paper Draft

media_type: PDF

en: This is the initial draft of the paper where the snowBedFoam 1.0. results are tested against Terrestrial Laser Scan (TLS) measurements of snow dynamics on Arctic sea ice (MOSAiC expedition). It highlights the numerical limitations of our model as well as the measurement uncertainties, which may occur in such extreme environments.

en:
snowBedFoam 1.0. is a snow transport solver implemented in the Computational Fluid Dynamics (CFD) software OpenFOAM. It is adapted from the standard multi-phase flow solver DPMFoam for application in snow-influenced environments.

To simulate aeolian snow transport, snowBedFoam 1.0. handles coupled Eulerian–Lagrangian phases, which involve a finite number of particles (snow) spread in a continuous phase (air). The snow erosion and deposition are modelled through physically-based equations such as the ones employed in the well-established LES-Lagrangian Stochastic Model (Comola and Lehning, 2017 ; Sharma et al., 2018). This modelling approach is computationally intensive and thus adapted to simulate snow movement and distribution on small scale terrain.

snowBedFoam 1.0. was tested against topographical data collected on Arctic sea ice during the MOSAiC expedition (Clemens-Sewall, 2021) . Together with atmospheric data from the MOSAiC Met City (Shupe et al., 2021) used for the fluid forcing, the model was able to accurately simulate the zones of erosion and deposition of snow along a complex ice ridge structure.

The core code of snowBedFoam 1.0. is also accessible on the WSL/SLF GitLab repository (more details in the Resources section).

arctic-sea-ice

display_name: arctic-sea-ice

mosaic

display_name: mosaic

openfoam

display_name: openfoam

snow-deposition

display_name: snow-deposition

snow-transport

display_name: snow-transport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: snowBedFoam: an OpenFOAM Eulerian-Lagrangian solver for modelling snow transport


maintainer: Matthias Haeni

en: precipitation wind-speed par climate-change long-term swiss-forest-lab temperature meteorology relative-humidity meteo

state: active

type: dataset

en: Forest station data (OTB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Data plot of the field station (OTF)

media_type: application/pdf

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

format: PDF

mimetype: application/pdf

en: Site photo of the forest station (OTB)

media_type: image/jpeg

en: Site photo of the forest station from above (viewing downwards the slope).

format: SERVICE

mimetype: image/jpeg

en: Site aerial photo (Othmarsingen)

en: Site aerial photo from both Othmarsingen stations. Source: Google. 2016. Site aerial photo from both Othmarsingen stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Field station data (OTF)

en: Site photo of the field station (OTF)

en: Site photo of the field station from below (viewing upwards the slope).

en: Data plot of the forest station (OTB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Othmarsingen in Switzerland where one station is located within a natural deciduous forest stand (OTB) with European beech (_Fagus sylvatica_; 120-140 yrs) and lime trees (_Tilia sp._; 120-140 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, OTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Othmarsingen is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Othmarsingen, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


maintainer: Marco Moretti

en: bettergardens resource-availability urban-ecosystems honeybees city4bees beekeeping urbanization pollinator-experiment urban-biodiversity zurich gardens wild-bees

media_type: .csv

en: Response and predictors used for the SEMs

en:
The data contains the following columns:

  SiteID: numeric, the identity of the garden where the bee was sampled.
  Taxonname: character, species name
  Lecty: numeric discreet, a mesure of specialisation degree. Levels: 1 = monolectic; 2=oliolectic; 3=polilectic
  Pheno.start= numeric discreet, the starting week of the flying activity.
  Pheno.end= numeric discreet, the ending week of the flying activity.
  Pheno.duration=numeric discreet, Pheno.end - Pheno.start
  Daytime.activity = numeric continuous, individual-level measure of the day hour when the bee was sampled
  ITD = numeric continuous, individual-level measure of the InterTegular Distance, a metric of mobility in mm.
  Rel.tongue.length =numeric continuous, individual-level measure of the relative tongue length (Tongue length / ITD), a metric of specilaisation degree, in mm.

media_type: CSV

en:
Mean, standard deviation , minimum and maximum values of six functional traits. The data has the following structure:
- Bee_species: bee scientific name
- mean_trait: mean value
- sd_trait: standard deviation
_min_trait: minimum value
- max_trait: maximum value
- trait: the six traits used. ITD = Intertegular distance (mm); Pheno.duration = duration of the phenology; Pheno.start = start of the phenology; Pheno.end = end of the phenology; Rel.tongue.length= relative tongue length (mm); Daytime.activity = daily activity (h)
DistNichePart: functional dissimilarity in a multidimentional trait space defined by five traits between wild bee individuals of a wild bee species and the honeybee individuals. Values are at the species level.

en: Metadata for the predictor and response dataset

en: Metadata for the predictors and response dataset

en:
Cities are socio-ecological systems that filter and select species, thus establishing unique species assemblages and biotic interactions. Urban ecosystems can host richer wild bee communities than highly intensified agricultural areas, specifically in resource-rich urban green spaces such as allotment and family gardens. At the same time, urban beekeeping has boomed in many European cities, raising concerns that the fast addition of a large number of managed bees could deplete the existing floral resources, triggering competition between wild bees and honeybees. The data has been used to investigated the interplay between resource availability and the number of honeybees at local and landscape scales and how this relationship influences wild bee diversity.

This dataset contains the raw and processed data supporting the findings from the paper: "Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city".

The data contains:
1. Bee trait measurements at the species and individual-level of five functional traits.
2. The values of the feeding niche partitioning (functional dissimilarity to honeybees)
3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites.

beekeeping

display_name: beekeeping

bettergardens

display_name: bettergardens

gardens

display_name: gardens

honeybees

display_name: honeybees

pollinator-experiment

display_name: pollinator-experiment

resource-availability

display_name: resource-availability

urban-biodiversity

display_name: urban-biodiversity

urban-ecosystems

display_name: urban-ecosystems

urbanization

display_name: urbanization

wild-bees

display_name: wild-bees

zurich

display_name: zurich

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Niche partitioning between wild bees and honeybees


en: snow-density snow-density-profile snowmicropen antarctica microstructure

en: Documentation SnowMicroPen measurements

media_type: .zip

en: This *.zip archive contains all available documentation of the SnowMicroPen measurements, including the mapping of the SMP measurements in the terrestrial laser scan field at PEA (see documentation for 20161220) and at the Hammarryggen Ice Rise (see documentation for 20190104 and 20190111).

en: SnowMicroPen pts files and processed txt files

en: Zip archive containing the acquired *.pts files (binary files recorded by the SnowMicroPen), and the converted *.txt files using the SMP.ipynb jupyter notebook (see the python code in the other resources in this dataset)

en: Python code exported from the Jupyter notebook for processing the SnowMicroPen files

media_type: py

en: Manual snow pits and other snow density measurements

media_type: .txt

en: List of SnowMicroPen measurements

en: List of all SnowMicroPen measurements, including date and location, and processing status. This list has been generated by the python code (see other resources in this dataset).

media_type: ipynb

en: Jupyter notebook for processing the SnowMicroPen files.

en: SnowMicroPen (SMP) measurements and manual snowpits from Dronning Maud Land, East Antarctica. Measurements were taken in the vicinity of the Belgium Princess Elisabeth Station (PEA), in a transect towards the coast, and on the Lokeryggen and Hammarryggen Ice Rises near the coast. Measurements were taken during 3 individual campaigns in the 2016-2017, 2018-2019 and 2019-2020 field seasons.

antarctica

display_name: antarctica

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snow-density-profile

display_name: snow-density-profile

snowmicropen

display_name: snowmicropen

en: SnowMicroPen measurements and manual snowpits from Dronning Maud Land, East Antarctica


maintainer: EnviDat Support

en: switzerland groundwater studibach time-series alptal

media_type: text/plain

en:
Groundwater time series of the monitoring network in the Studibach (C7) catchment, Alptal, Switzerland published in
Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

format: TXT

mimetype: text/plain

en: Groundwater time series between 2010 and 2014 of the distributed monitoring system in the Studibach (C7), Alptal, Switzerland. Data published in Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

alptal

display_name: alptal

groundwater

display_name: groundwater

studibach

display_name: studibach

switzerland

display_name: switzerland

time-series

display_name: time-series

education

en: Education and science

en: Groundwater time series Studibach (Rinderer et al., 2019, WRR)


en: snow shortwave-radiation albedo winter-energy-production photovoltaic

en: Data Forward Scattering

en: GROUNDEYE model for multiple forward scattering in snow-covered terrain. Meteorological and topographical input data set for the Meierhofertäli near Davos, Switzerland, September 2017 - August 2018. Output data for September 2017 - August 2018 at hourly resolution and every pixel. Post-processing scripts for plotting and analysis.

en:
 Overview
We present GROUNDEYE, a new model of radiative transfer over mountainous terrain, which considers for the first time the forward scattering properties of snow.
Embedded in the surface process model Alpine3D, the new terrain radiation model GROUNDEYE receives interpolated real weather data with diffuse and direct broadband shortwave radiation for each pixel as well as a spatially variable plane albedo from the module SNOWPACK.

 Format
The GROUNDEYE model is written in c++, as is the entire environment of Alpine3d. The input and output data sets are .xlsx or .txt format, pre- and postprocessing including the generation of all figures is in .R format.

 Structure
In Data_Forward_Scattering.zip you will find all necessary data and model details to
reproduce the results of the JGR publication "How forward-scattering snow and terrain change the Alpine radiation balance with application to solar panels"

 - 	Model Input Data contains the meteorological and topographic input data sets, the BRDF, and preprocessing scripts.
 - Model Code contains the full model Alpine3d including the radiative transfer module GROUNDEYE.
 - Model Output Data contains the results of the simulation of terrain irradiance and irradiance of solar panels; hourly resolution, 1. Sptember 2017 - 31. August 2018.
 - Measurements Solar Testsite contains information and measurements of the solar testsite at the Totalp near Davos, Switzerland.
 - Postprocessing contains all R-Scripts used for the analysis and
plotting of the corresponding data.

In each of these folders you will find detailed information in
the file 'About this Folder.txt'.

albedo

display_name: albedo

photovoltaic

display_name: photovoltaic

shortwave-radiation

display_name: shortwave-radiation

snow

display_name: snow

winter-energy-production

display_name: winter-energy-production

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Data, Code Link and Metadata on Forward Scattering of Snow at Totalp


maintainer: EnviDat

en: nead csv research-data-management meteorological-data-format metadata-convention

en: NEAD on GitHub

media_type: HTML

format: HTML

en: MeteoIO (future reference implementation)

media_type: text/html

mimetype: text/html

en: PyNEAD (future reference implementation)

en: NEAD syntax v0.1 (EBNF)

en:
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

-----------------------

Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories.

License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management

en: Non-Binary Environmental Archive Data (NEAD) format


maintainer: Robert Pazúr

en: phenology remote-sensing switzerland vegetation-indices grassland agriculture habitat cropland machine-learning sentinel-2

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6  (v1.0)

media_type: TIFF

en:
!!! Please check out the newer version in the repository !!!
Mask of unsealed surfaces of Switzerland based on 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6

format: TIFF

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.5)

media_type: JS

en: The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland. Compare to the previous version the newer version includes the shadow masking procedure which might be important in the mountainous areas.

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.5)

media_type: geotiff

en: Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6.

format: GeoTIFF

en: (current version) Cropland, grassland, and shrubland map of Switzerland (v.1.5)

en: Cropland and grassland map of Switzerland  (v.1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; other LC classes are masked out from the map

en: Cropland, grassland, and shrubland map of Switzerland (v1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.0)

en: !!! Please check out the newer version in the repository !!! The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.5)

en: (current version) Cropland and grassland map of Switzerland (v.1.5)

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.0)

en: !!! Please check out the newer version in this repository !!! Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.

en: We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.

agriculture

display_name: agriculture

cropland

display_name: cropland

grassland

display_name: grassland

habitat

display_name: habitat

machine-learning

display_name: machine-learning

phenology

display_name: phenology

remote-sensing

display_name: remote-sensing

vegetation-indices

display_name: vegetation-indices

en: Cropland and grassland map of Switzerland based on Sentinel-2 data


sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: snow-cover-modeling global-sensitivity-analysis numerical-avalanche-forecasting snow-instability snowpack

en: Case ALL

media_type: application/zip

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

format: ZIP

mimetype: application/zip

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: Case WL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Sensitivity of modeled snow instability


en: preferential-deposition alpine3d tls lee-side-flow-field lidar

en: Dataset

media_type: ZIP

en:
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains:

* Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
* ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
* LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
* meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
* TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.

For more details about the simulation and observation data, see Gerber et al., 2017.

Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

lee-side-flow-field

display_name: lee-side-flow-field

lidar

display_name: lidar

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls

en: DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.


en: meteorology climate-change meteo long-term wind-speed temperature precipitation relative-humidity par swiss-forest-lab

en: Site photo of the forest station (SCB)

media_type: JPEG

en: Site photo of the forest station from below (viewing upwards the slope).

en: Site aerial photo (Schänis)

en: Site aerial photo from both Schänis stations. Source: Google. 2016. Site aerial photo from both Schänis stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Data plot of the forest station (SCB)

media_type: PDF

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Further details on the data repository

en: Meta data documentation.

en: Forest station data (SCB)

en: Data file.

en: Field station data (SCF)

media_type: text/csv

en: Site photo of the field station (SCF)

en: Site photo of the field station from above (viewing downwards the slope).

en: Data plot of the field station (SCF)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Schänis in Switzerland where one station is located within a natural mixed forest stand (SCB) with European beech (_Fagus sylvatica_; 130-150 yrs), European silver fir (_Abies alba_; 130-150 yrs) and European ash (_Fraxinus excelsior_; 130-150 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, SCF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Schänis is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Schänis, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1998 onwards


maintainer: Rebecca Mott

en: patchy-snow-covers turbulent-sensible-heat-fluxes dischmex eddy-covariance-measurements snow-patch

en: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

en: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.3 m.

en: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 0.7 m.

en: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

en: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.6 m.

en: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.5 m.

en: Output explanation

format: XLS

en: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 3.2 m on a daily basis.

en: Gletschboden setup

media_type: image/png

en: Background map based on data © 2014/2016 swisstopo (JD100042)

format: PNG

mimetype: image/png

en: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 1.7 m on a daily basis.

en:
This dataset contains eddy-covariance measurements in the ablation period of 2014-2016. Measurements were taken from two turbulence towers over a long-lasting snow patch, which are 5 m apart from each other (2014 and 2015). The turbulence towers were equipped with two YOUNG ultrasonic anemometers mounted 0.7 m (in 2014) and 3.3 m (in 2015) above snow-free ground, two ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) mounted at 2.6 m (in 2014) and 2.2 m (in 2015) above snow-free ground and one anemometer (DA-600, Kaijo Denki) mounted at 0.3 m above snow surface.

The measurement setup changed in 2016 and includes a measurement above the snow-free ground in upwind direction (Swiss coordinates: 790191/176689). The measurement tower is equipped with one ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 3.3 m above the snow-free ground. Additionally, one measurement tower is installed above the long-Lasting snow patch and equipped with the same setup as 2015.

Turbulence data were sampled at a frequency of 20 Hz. The processing of the data to quality controlled fluxes has been done with the Biomicrometeorology flux software (Thomas et al., 2009). The program applies plausibility tests and a despiking test after Vickers and Mahrt (1997) on the measured data. The routine further applies a time-lag correction and considers the deployment (e.g. the sonic azimuth). A frequency response correction (Moore, 1986) is done and a three-dimensional rotation is performed. Finally, quality assurance/quality control (QA/QC) flags after Foken et al., (2004) are issued and fast Fourier transform power and co-spectra are calculated. The change in snow height is considered in the post-processing for every measurement day. The turbulence data were averaged to 30 minute intervals.

dischmex

display_name: dischmex

eddy-covariance-measurements

display_name: eddy-covariance-measurements

patchy-snow-covers

display_name: patchy-snow-covers

snow-patch

display_name: snow-patch

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: DISCHMEX - Impact of extreme land-surface heterogeneity on micrometeorology over spring snow-cover


en: biogeography soil-impacts biodiversity pairwise-stand-comparisons forest-management

en: headers

media_type: ascii, tab separated, also as excel table

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

media_type: CSV

en: Baseline data

en: references

media_type: XLS

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

en: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


radar-wind-profiler-davos-wolfgang

maintainer: Maxim Hervo

title_for_slug: radar-wind-profiler-davos-wolfgang

en: raclets wind-direction wind-speed radar wolfgangpass

en: Radar Wind Profiler Data

en: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.

en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

raclets

display_name: raclets

radar

display_name: radar

wind-direction

display_name: wind-direction

wolfgangpass

display_name: wolfgangpass

en: RADAR Wind profiler Davos Wolfgang


maintainer: Loïc Pellissier Pellissier

en: elevation herbivores-communities plant-herbivore-interactions environmental-gradients functional-traits alps community-indices

en: Plant traits

en: Plant functional traits (SLA, LDMC, carbon and nitrogen content, punch strenght; averaged by species)

en: Orthoptera traits

en: Orthoptera functional traits (incisive mandibular strength averaged by species)

en: Orthoptera surveys

en: Species inventories of Orthoptera

en: Nematode surveys

en: Surveys of soil nematode along elevation

en: Study sites

en: Coordinates and elevation of the study sites

en: Vegetion surveys

en: Species inventories of plants

en: Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017.

alps

display_name: alps

community-indices

display_name: community-indices

elevation

display_name: elevation

environmental-gradients

display_name: environmental-gradients

functional-traits

display_name: functional-traits

herbivores-communities

display_name: herbivores-communities

plant-herbivore-interactions

display_name: plant-herbivore-interactions

education

en: Education and science

en: Above- and below-ground herbivore communities along elevation


maintainer: Bundesamt für Energie BFE

title_for_slug: Gebäudeprogramm: Jahresbericht und Jahresstatistik

author: Bundesamt für Energie BFE

fr:
Le Programme Bâtiments a été lancé en 2010 pour inciter les propriétaires à assainir leurs biens sur le plan énergétique et à apporter par là une contribution concrète à l’amélioration de l’efficacité énergétique et à la protection du climat. Jusqu’à fin 2016, le Programme Bâtiments comprenait un volet A commun à tout le pays pour l’assainissement de l’enveloppe du bâtiment et un volet B variable selon les cantons pour les énergies renouvelables, la récupération de chaleur et l’amélioration des installations techniques.
En six années d’exploitation, le programme a versé près de 1,184 milliard de francs de subventions. Sur toute leur durée de vie, les mesures ainsi soutenues permettront d’économiser environ 18,6 millions de tonnes de CO2 et 93 724 gigawattheures d’énergie.
Informations supplémentaires sur les résultats et les effets du Programme Bâtiments dans les rapports annuels et les statistiques annuelles.

de:
Seit 2010 motiviert Das Gebäudeprogramm Eigentümer/-innen, mit der energetischen Sanierung ihrer Liegenschaft einen konkreten Beitrag zur Energieeffizienz und zum Klimaschutz zu leisten. Bis Ende 2016 bestand das Programm aus einem schweizweit einheitlichen Teil A (energetische Sanierung der Gebäudehülle) und einem kantonal unterschiedlichen Teil B (Einsatz erneuerbarer Energien, Abwärmenutzung und Optimierung der Gebäudetechnik).
Nach sechs Betriebsjahren hat Das Gebäudeprogramm insgesamt rund 1,184 Milliarden Franken an Fördermitteln ausbezahlt. Damit können über die Lebensdauer der geförderten Massnahmen insgesamt rund 18,6 Millionen Tonnen CO2 vermieden bzw. rund 93‘724 Gigawattstunden Energie eingespart werden.
Mehr Informationen zu den Resultaten und Wirkungen des Gebäudeprogramms können Sie den Jahresberichten und -statistiken entnehmen.

fr: Programme Bâtiments: rapports annuels et statistique annuelles

it: Programma Edifici: rapporti e statistiche annuali

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

energy

fr: Energie

de: Energie

en: Energy

it: Energia

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).

political_level: confederation


en: minimum-temperature air-temperature free-climate-data century climate climate-layers timeseries precipitation maximum-temperature

en: Data Access

en: CHELSA Technical Documentation

media_type: application/pdf

en: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

en:
CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum. Here we use the delta change method by B-spline interpolation of anomalies (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated between all CRU TS grid cells and are then added (for temperature variables) or multiplied (in case of precipitation) to high resolution climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). This method has the assumption that climate only varies on the scale of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) is consistent over time. This is certainly a rather crude assumption, and for time periods for which more accurate data is available CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take changing wind patterns, or temperature lapse rates into account, but rather expects them to be constant over time, and similar to the long term averages.

CHELSAcruts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

timeseries

display_name: timeseries

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: CHELSAcruts -  High resolution temperature and precipitation timeseries for the 20th century and beyond


maintainer: Federal Finance Administration, Financial Statistic Contact Point

fr: Comparaison internationale selon le modèle SFP (données)

de: Internationaler Vergleich gemäss GFS-Modell (Daten)

en: International comparison according to the GFS Model (data)

it: Confronto internazionale secondo il modello SFP (dati)

fr:
Ce jeu de données contient une comparaison internationale des principaux indicateurs financiers selon le modèle SFP.
Les dimensions suivantes sont disponibles :

* country_code: pays (voir liste de codes)
* indicator: indicateur financier (voir liste de codes)
* jahr: année correspondante
* value: valeur correspondante
* unit: unité de la valeur
* source: source

en:
This dataset contains an international comparison of the key financial ratios according to the GFS model.
Following dimensions are shown:

* country_code: country (see codelist)
* indicator: financial ratio (see codelist)
* jahr: corresponding year
* value: corresponding value
* unit: unit of value
* source: source

de:
Dieses Datenset enthält einen internationalen Vergleich der wichtigsten Finanzkennzahlen gemäss GFS-Modell.
Folgende Dimensionen sind verfügbar:

* country_code: Land (siehe zugehörige codelist)
* indicator: Finanzkennzahlen  (siehe codelist)
* jahr: zeigt das entsprechende Jahr
* value: zeigt den Wert der entsprechenden Position
* unit: zeigt die Einheit des Wertes
* source: Quelle

it:
Questo dataset incluso un confronto internazionale dei principali indicatori secondo il modello GFS.
Sono mostrate le seguenti dimensioni:

* country_code: pasese (vedi codelist)
* indicator: indicatore (vedi codelist)
* jahr: anno corrispondente
* value: valore corrispondente
* unit: unità di valore
* source: fonte

fr: Comparaison internationale selon le modèle SFP (codelist)

de: Internationaler Vergleich gemäss GFS-Modell (codelist)

en: International comparison according to the GFS Model (codelist)

it: Confronto internazionale secondo il modello SFP (codelist)

fr: Cette liste de codes peut être utilisée comme table d'aide pour les dimensions _country_\__code_ et _indicator_ de l'ensemble de données correspondant (identifiant : resource_kennz_int).

en: This codelist can be used as an auxiliary table for the dimensions _country_\__code_ and _indicator_ of the corresponding dataset (identifier: resource_kennz_int)

de: Diese codelist kann als Hilfstabelle für die Dimensionen _country_\__code_ und _indicator_ des zugehörigen Datensets (identifier: resource_kennz_int) verwendet werden.

it: Questo codelist può essere utilizzata come tabella ausiliaria per le dimensioni _country_\__code_ e _indicator_ del dataset associato (identificatore: resource_kennz_int).

fr:
Ce jeu de données contient une comparaison internationale des principaux indicateurs financiers selon le modèle SFP.

### Modèle SFP
En respectant le standard de statistique financière du Fonds monétaire international, le __modèle SFP__ assure la __comparabilité internationale__ des données de la statistique financière suisse. Ce standard est décrit dans le Manuel de statistiques de finances publiques (MSFP 2014).

en:
This dataset contains an international comparison of the key financial ratios according to the GFS model.

### GFS model
__International comparability__ of Swiss financial statistics data is ensured with the __GFS Model__, which applies the financial statistics standard of the International Monetary Fund. This standard is described in the Government Finance Statistics Manual (GFSM 2014).

de:
Dieses Datenset enthält einen internationalen Vergleich der wichtigsten Finanzkennzahlen gemäss GFS-Modell.

### GFS Modell
Die __internationale Vergleichbarkeit__ der Schweizer Finanzstatistikdaten wird durch das __GFS-Modell__ sichergestellt, in welchem der finanzstatistische Standard des Internationalen Währungsfonds umgesetzt ist. Dieser Standard wird im Government Finance Statistics Manual GFSM2014 beschrieben.

it:
Questo dataset incluso un confronto internazionale dei principali indicatori secondo il modello GFS.

### Modello GFS
La __comparabilità a livello internazionale__ dei dati svizzeri della statistica finanziaria è garantita dal __modello GFS__, che attua lo standard della statistica finanziaria del Fondo monetario internazionale. Questo standard è descritto nel Government Finance Statistics Manual (GFSM2014).

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

finances

fr: Finances

de: Finanzen

en: Finances

it: Finanze

fr: Statistique Financière AFF

de: Finanzstatistik EFV

en: Financial Statistic FFA

it: Statistica Finanziaria AFF

fr:
L’Administration fédérale des finances (AFF) élabore la statistique des finances publiques et des assurances sociales en Suisse (statistique financière). Avec l’Office fédéral des statistiques (fournisseur principal de statistiques sur la Suisse), la Banque nationale suisse (pour les banques, les marchés financiers et la statistique de la balance des paiements), d’autres offices fédéraux (statistiques sectorielles) et les offices de la statistique des cantons et de diverses villes, l’AFF est l’un des plus importants producteurs officiels de statistiques en Suisse. Le service de la Statistique financière a pour tâche de présenter de manière transparente la situation du secteur public suisse en matière de recettes, de finances et de patrimoine. Grâce aux directives de l’AFF sur l’assurance-qualité, la Statistique financière est en mesure de garantir la production de statistiques de haut niveau qualitatif.

La Statistique financière fournit les services suivants :

* Rapports financiers consolidés et harmonisés relatifs à la Confédération, aux cantons, aux communes et aux assurances sociales publiques, sur la base des modèles comptables de la Confédération et des cantons (NMC, MCH2, etc.) et à des fins de comparaison au plan national ;
* Production et commentaire d’une statistique des finances publiques suisses, permettant des comparaisons internationales et respectant les normes du Fonds monétaire international (MSFP 2014) ;
* Préparation de données sur les finances publiques en vue de l’élaboration des comptes nationaux de la Suisse, notamment dans le cadre de l’accord sur les statistiques conclus à la faveur des Bilatérales II (SEC 2010) ;
* Évaluation et analyses spécifiques des données relatives aux finances publiques de la Suisse.

en:
The Federal Finance Administration (FFA) prepares statistics on the government units and social security funds (financial statistics). The FFA is thus one of Switzerland's main public producers of statistics, together with the Federal Statistical Office (main supplier of Swiss statistics), the Swiss National Bank (bank, financial market and balance of payments statistics) as well as other federal agencies (special statistics) and the statistics offices of the cantons and various cities and towns. The aim of financial statistics is to present a transparent picture of the revenue, finance and asset situation of Switzerland's general government sector. With the directive on quality assurance of the FFA, Financial Statistics Section guarantees the high quality of the statistics it produces.

The Financial Statistics Section provides the following services:

* Consolidated and harmonized financial reporting of the Confederation, cantons, communes and social security funds on the basis of the accounting models of the Confederation and of the cantons (NAM, HAM2, etc.) with the objective of national comparability.
* Production and reporting of internationally comparable statistics on Switzerland's public finances in accordance with the International Monetary Fund standards (GFSM 2014).
* Preparation of data on public finances as a basis for drawing up Switzerland's system of national accounts, particularly within the scope of the Statistics Agreement of the second series of bilateral agreements (ESA 2010).
* Specific evaluations and analyses of Swiss public finances.

de:
Die Eidgenössische Finanzverwaltung (EFV) erstellt die Statistik der öffentlichen Haushalte und Sozialversicherungen (Finanzstatistik). Damit gehört das Amt zusammen mit dem Bundesamt für Statistik (Hauptlieferant für schweizerische Statistiken), der Schweizerischen Nationalbank (Banken-, Finanzmarkt- und Zahlungsbilanzstatistik) sowie anderen Bundesämtern (Spezialstatistiken) und den Statistikämtern der Kantone und verschiedener Städte zu den wichtigen öffentlichen Statistikproduzenten der Schweiz. Aufgabe der Finanzstatistik ist eine transparente Darstellung der Ertrags-, Finanz- und Vermögenslage des staatlichen Sektors der Schweiz. Mit der Richtlinie zur Qualitätssicherung der EFV garantiert die Finanzstatistik für eine hohe Qualität der von ihr produzierten Statistiken.

Die Finanzstatistik erbringt folgende Dienstleistungen:

* Konsolidierte und harmonisierte Finanzberichterstattung von Bund, Kantonen, Gemeinden und öffentlichen Sozialversicherungen auf der Basis der Rechnungslegungsmodelle des Bundes und der Kantone (NRM, HRM2 etc.) mit dem Ziel der nationalen Vergleichbarkeit.
* Produktion und Berichterstattung einer international vergleichbaren Statistik der öffentlichen Finanzen der Schweiz nach den Standards des Internationalen Währungsfonds (GFSM2014).
* Bereitstellung von Daten zu den öffentlichen Finanzen als Basis für die Erstellung der Volkswirtschaftlichen Gesamtrechnung der Schweiz, insbesondere auch im Rahmen des Statistikabkommens der Bilateralen II (ESVG2010).
* Spezifische Auswertungen und Analysen zu den öffentlichen Finanzen der Schweiz.

it:
L'Amministrazione federale delle finanze (AFF) allestisce la statistica degli enti pubblici e delle assicurazioni sociali (statistica finanziaria). Unitamente all'Ufficio federale di statistica (principale produttore di statistiche svizzere), alla Banca nazionale svizzera (statistica delle banche, dei mercati finanziari e della bilancia dei pagamenti), ad altri Uffici federali (statistiche speciali) e agli Uffici di statistica cantonali e municipali, l’AFF è uno dei più importanti produttori di statistiche pubbliche della Svizzera. È compito della statistica finanziaria illustrare in modo trasparente la situazione inerente ai ricavi, alle finanze e al patrimonio degli enti pubblici della Svizzera. Con la direttiva per la garanzia della qualità dell’AFF, la sezione Statistica finanziaria garantisce l’alta qualità delle statistiche da essa condotte.

La statistica finanziaria effettua le seguenti prestazioni:

* Rendiconto finanziario consolidato e armonizzato di Confederazione, Cantoni, Comuni e assicurazioni sociali pubbliche sulla base dei modelli di presentazione dei conti della Confederazione e dei Cantoni (NMC, MPCA2 ecc.) al fine di consentire il confronto a livello nazionale.
* Allestimento e rendiconto di una statistica delle finanze pubbliche della Svizzera confrontabile a livello internazionale secondo gli standard del Fondo monetario internazionale (GFSM2014).
* Approntamento di dati sulle finanze pubbliche come base per l'allestimento dei conti economici generali della Svizzera, in particolare anche nel quadro dell'Accordo sulla statistica degli Accordi bilaterali II (SEC2010).
* Analisi specifiche e analisi delle finanze pubbliche della Svizzera.


name: Federal Finance Administration, Financial Statistic Contact Point

fr: Agrégats principaux et prévisions dans les modèles SF et SFP (données)

de: Hauptaggregate und Prognosen im FS und GFS-Modell (Daten)

en: Main aggregates and forecasts with FS- and GFS-Model (data)

it: Gruppi principali e proiezioni nei modelli SF e GFS (dati)

fr:
Ce jeu de données présente les agrégats principaux et prévisions dans les modèles SF et SFP .
Les dimensions suivantes sont disponibles :

* hh: unité d'administration publique
* model: modèle considéré
* variable: agrégat
* jahr: année correspondante
* value: valeur correspondante (en millions CHF, pour dim == gfs_quote en % du PIB)

en:
This dataset shows the main aggregates and forecasts with FS- and GFS-Model.
Following dimensions are shown:

* hh: corresponding public household
* model: model used
* variable: aggregate
* jahr: corresponding year
* value: corresponding value (in million CHF, for dim == gfs_quote in % of GDP)

de:
Dieses Datenset zeigt Hauptaggregate und Prognosen im FS und GFS-Modell.
Folgende Dimensionen sind verfügbar:

* hh: zeigt den entsprechenden öffentlichen Haushalt
* model: zeigt das betrachtete Modell
* variable: Aggregat
* jahr: zeigt das entsprechende Jahr
* value: zeigt den Wert der entsprechenden Position (in Millionen CHF, für dim == gfs_quote in % des BIP)

it:
Questo dataset mostra i principali aggregati e le previsioni del modello FS e GFS.
Sono mostrate le seguenti dimensioni:

* hh: unità della pubblica amministrazione
* model: modello considerato
* variable: aggregato
* jahr: anno corrispondente
* value: valore corrispondente (in milioni CHF, per dim == gfs_quote in % del PIL)

fr: Agrégats principaux et prévisions dans les modèles SF et SFP (codelist)

de: Hauptaggregate und Prognosen im FS und GFS-Modell (codelist)

en: Main aggregates and forecasts with FS- and GFS-Model (codelist)

it: Gruppi principali e proiezioni nei modelli SF e GFS (codelist)

fr: Cette liste de codes peut être utilisée comme table d'aide pour les dimensions _hh_ et _variable_ de l'ensemble de données correspondant (identifiant : resource_main).

en: This codelist can be used as an auxiliary table for the dimensions _hh_ and _variable_ of the corresponding dataset (identifier: resource_main)

de: Diese codelist kann als Hilfstabelle für die Dimensionen _hh_ und _variable_ des zugehörigen Datensets (identifier: resource_main) verwendet werden.

it: Questo codelist può essere utilizzata come tabella ausiliaria per le dimensioni _hh_ e _variable_ del dataset associato (identificatore: resource_main).

fr:
### Modèle SFP
En respectant le standard de statistique financière du Fonds monétaire international, le __modèle SFP__ assure la __comparabilité internationale__ des données de la statistique financière suisse. Ce standard est décrit dans le Manuel de statistiques de finances publiques (MSFP 2014).

### Modèle SF
Reposant sur le Modèle comptable harmonisé pour les cantons et les communes (MCH2) et s'inspirant des normes IPSAS (International Public Sector Accounting Standards), le __modèle SF__ assure la __comparabilité nationale__. Dans la classification par nature, les évaluations standard du modèle SF contiennent le bilan, le compte de résultats et le compte de financement. Dans ce dernier, les recettes et les dépenses sont présentées par fonction.

A partir de l’année comptable 2008, la statistique financière se base sur de nouveaux standards. C’est pourquoi la comparabilité avec les données du modèle national SF d’avant 2008 est limitée.

en:
### GFS model
__International comparability__ of Swiss financial statistics data is ensured with the __GFS Model__, which applies the financial statistics standard of the International Monetary Fund. This standard is described in the Government Finance Statistics Manual (GFSM 2014).

### FS model
__National comparability__ is achieved with the __FS Model__, which is based on the Harmonized Accounting Model for the Cantons and Communes (HAM2) and is thus inspired by the International Public Sector Accounting Standards (IPSAS). Standard evaluations with the FS Model always contain the statement of financial position, statement of financial performance and financing statement in the economic classification. Furthermore, receipts and expenditure are shown by function in the financing statement. In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model.

In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model.

de:
### GFS Modell
Die __internationale Vergleichbarkeit__ der Schweizer Finanzstatistikdaten wird durch das __GFS-Modell__ sichergestellt, in welchem der finanzstatistische Standard des Internationalen Währungsfonds umgesetzt ist. Dieser Standard wird im Government Finance Statistics Manual GFSM2014 beschrieben.

### FS Modell
Die __nationale Vergleichbarkeit__ wird mit dem __FS-Modell__ sichergestellt, welches auf dem Harmonisierten Rechnungslegungsmodell der Kantone und Gemeinden (HRM2) basiert und sich damit an die International Public Sector Accounting Standards (IPSAS) anlehnt. Die Standardauswertungen im FS-Modell enthalten jeweils in der Artengliederung die Bilanz, die Erfolgsrechnung und die Finanzierungsrechnung. Zusätzlich werden in der Finanzierungsrechnung die Einnahmen und Ausgaben nach Funktionen ausgewiesen.

Mit dem Rechnungsjahr 2008 wurde die Finanzstatistik an neue Standards angepasst. Deshalb ist die Vergleichbarkeit mit den Zahlen vor 2008 im nationalen FS-Modell eingeschränkt.

it:
### Modello GFS
La __comparabilità a livello internazionale__ dei dati svizzeri della statistica finanziaria è garantita dal __modello GFS__, che attua lo standard della statistica finanziaria del Fondo monetario internazionale. Questo standard è descritto nel Government Finance Statistics Manual (GFSM2014).

### Modello SF
La __comparabilità a livello nazionale__ è garantita dal __modello SF__, che si basa sul modello di presentazione dei conti armonizzato dei Cantoni e dei Comuni (MPCA2) e quindi sugli International Public Sector Accounting Standards (IPSAS). Le valutazioni standard nel modello SF contengono nell’articolazione per tipi il bilancio, il conto economico e il conto di finanziamento. Inoltre, nel conto di finanziamento vengono indicate le entrate e le uscite secondo funzioni.

Con l’esercizio 2008 la statistica finanziaria è stata adeguata a nuovi standard. Pertanto, il raffronto con le cifre antecedenti al 2008 nel modello SF nazionale è limitato.

national-economy

en: National economy


swisscollections

maintainer: Coordination swisscollections

title_for_slug: Metadata of swisscollections, the gateway to historical and modern collections in Swiss libraries and archives

fr: glam openglam

de: glam openglam

en: glam openglam

it: glam openglam

fr: Metadata via SRU API in MARC XML format

de: Metadata via SRU API in MARC XML format

en: Metadata via SRU API in MARC XML format

it: Metadata via SRU API in MARC XML format

fr:
[Documentation](https://ub-basel.atlassian.net/wiki/spaces/swisscollections/pages/1974370315/SRU-Schnittstelle)

Most of the metadata is in the public domain. Some metadata is licensed under a CC-BY licence (long manuscript abstracts). When this is the case, it is written in the 910 marc field (see an example [here](https://sru.swisscollections.ch/swisscollections?version=1.2&operation=searchRetrieve&query=dc.id%20=%20991170516271005501&recordSchema=marc21-xml))

identifier: sru

fr: Metadata of the archives in EAD format

de: Metadata of the archives in EAD format

en: Metadata of the archives in EAD format

it: Metadata of the archives in EAD format

fr: A subset of swisscollections metadata is available in EAD format.

fr: swisscollections is the gateway to historical and modern collections in Swiss libraries and archives. In swisscollections, you can find archive material (including unpublished papers), images, old prints and rare books, document collections, film material, manuscripts, maps, music recordings, sheet music, text recordings as well as listings in bibliographies of cantons. It is a metacatalogue that draws on various data pools.

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

openglam

de: OpenGLAM CH Working Group

en: OpenGLAM CH Working Group

de: Die OpenGLAM-Arbeitsgruppe des Vereins opendata.ch setzt sich für die Umsetzung der OpenGLAM-Prinzipien in der Schweiz ein. Im Zusammenhang mit dem jährlich stattfindenden Open Cultural Data Hackathon fordert sie Gedächtnisinstitutionen dazu auf, Daten und Digitalisate unter freien Lizenzen verfügbar zu machen, so dass mit ihnen gearbeitet, experimentiert und gespielt werden kann. Die Hackathons bieten Gelegenheit zum Austausch zwischen den Institutionen, ProgrammiererInnen, WikipedianerInnen, Web-DesignerInnen und Forschenden. In der Regel erfassen Institutionen ihre Datensätze auf opendata.swiss selber unter einem eigenen Benutzerkonto. In Ausnahmefällen übernimmt die OpenGLAM-Arbeitsgruppe die Beschreibung der Daten. Bis auf wenige Ausnahmen stammen nur die Beschreibungen, nicht aber die Daten selbst von der OpenGLAM-Arbeitsgruppe.

en: The OpenGLAM Working Group of the opendata.ch association promotes and facilitates the adoption of the OpenGLAM Principles in Switzerland. Once a year, it brings together data providers, software developers, digital humanists, artists, Wikimedians/Wikipedians, and other interested people in order to experiment how cultural data and content can be used for research purposes, for web and mobile apps, in the context of Wikipedia, for artistic re-mixes, or for other forms of re-use. In general, data providers manage the description of their data on opendata.swiss themselves under their own organizational account. As an exception in some cases, the OpenGLAM CH Working Group takes care of this. Save for a few noted exceptions, only the data descriptions, but not the data itself are provided by the OpenGLAM Working Group.


title_for_slug: Internationaler Vergleich: Staatsausgaben nach Aufgabenbereichen (COFOG)

fr: Comparaison internationale: Dépenses des administrations publiques par fonction (COFOG)

en: International comparison: Expenditure of general government by function (COFOG)

it: Confronto internazionale: Spesa delle amministrazioni pubbliche per funzione (COFOG)

fr: Comparaison internationale: Dépenses des administrations publiques par fonction (COFOG, données)

de: Internationaler Vergleich: Staatsausgaben nach Aufgabenbereichen (COFOG, Daten)

en: International comparison: Expenditure of general government by function (COFOG, data)

it: Confronto internazionale: Spesa delle amministrazioni pubbliche per funzione (COFOG, dati)

fr:
Ce jeu de données contient une comparaison internationale des dépenses des administrations publiques par fonction (COFOG).
Les dimensions suivantes sont disponibles :

* country_code: pays (voir liste de codes)
* cofog: dépense des administrations publiques par fonction (voir liste de codes)
* jahr: année correspondante
* value: valeur correspondante
* unit: unité de la valeur
* source: source

en:
This dataset contains an international comparison of the expenditures of the general government by function (COFOG).
Following dimensions are shown:

* country_code: country (see codelist)
* cofog: expenditure of the general government by function (see codelist)
* jahr: corresponding year
* value: corresponding value
* unit: unit of value
* source: source

de:
Dieses Datenset enthält einen internationalen Vergleich der Staatsausgaben nach Aufgabenbereichen (COFOG).
Folgende Dimensionen sind verfügbar:

* country_code: Land (siehe zugehörige codelist)
* cofog: Staatsausgabe nach Aufgabenbereich (siehe codelist)
* jahr: zeigt das entsprechende Jahr
* value: zeigt den Wert der entsprechenden Position
* unit: zeigt die Einheit des Wertes
* source: Quelle

it:
Questo dataset incluso un confronto internazionale delle spese delle amministrazioni pubbliche per funzione (COFOG).
Sono mostrate le seguenti dimensioni:

* country_code: pasese (vedi codelist)
* cofog: spesa delle amministrazioni pubbliche per funzione(vedi codelist)
* jahr: anno corrispondente
* value: valore corrispondente
* unit: unità di valore
* source: fonte

fr: Comparaison internationale: Dépenses des administrations publiques par fonction (COFOG, codelist)

de: Internationaler Vergleich: Staatsausgaben nach Aufgabenbereichen (COFOG, codelist)

en: International comparison: Expenditure of general government by function (COFOG, codelist)

it: Confronto internazionale: Spesa delle amministrazioni pubbliche per funzione (COFOG, codelist)

fr: Cette liste de codes peut être utilisée comme table d'aide pour les dimensions _country_\__code_ et _cofog_ de l'ensemble de données correspondant (identifiant : resource_cofog_int).

en: This codelist can be used as an auxiliary table for the dimensions _country_\__code_ and _cofog_ of the corresponding dataset (identifier: resource_cofog_int)

de: Diese codelist kann als Hilfstabelle für die Dimensionen _country_\__code_ und _cofog_ des zugehörigen Datensets (identifier: resource_cofog_int) verwendet werden.

it: Questo codelist può essere utilizzata come tabella ausiliaria per le dimensioni _country_\__code_ e _cofog_ del dataset associato (identificatore: resource_cofog_int).

fr: The expenditure of general government (central government, state government, local government and social security funds) is broken down by function following the functional classification COFOG (Classification of the functions of government) of the United Nations, which allows an international comparison of the results. The "expenditure" concept follows the principles of the National Accounts; it refers to the compensation of employees, the intermediate consumption, the subsidies, the social benefits, the other transfers, the interests paid and the gross investments.

de: Die Ausgaben des Staates (Bund, Kantone, Gemeinden und Öffentliche Sozialversicherungen) sind nach dem Aufgabenbereich ausgewertet. Wir benutzen die funktionelle Klassifikation COFOG (Classification of the functions of government) der Vereinten Nationen, die einen internationalen Vergleich der Ergebnisse erlaubt. Das Konzept der "Ausgaben" folgt dem Prinzip der Volkswirtschaftlichen Gesamtrechnung; es enthält die Arbeitnehmerentgelte, die Vorleistungen, die Subventionen, die Sozialleistungen, die anderen Transfers, die bezahlten Zinsen und die Bruttoinvestitionen gemäss den Definitionen.

it: La spesa delle amministrazioni pubbliche (Confederazione, cantoni, comuni ed enti di previdenza sociale) è ripartita per funzione secondo la classificazione funzionale COFOG (Classification of the functions of government) delle Nazioni Unite, la quale permette di paragonare i risultati a livello internazionale. Il concetto di "spesa" comprende i redditi da lavoro, il consumo intermedio, le sovvenzioni, le prestazioni sociali, altri trasferimenti, gli interessi pagati e gli investimenti lordi conformemente alle definizioni dei Conti nazionali.

national-economy

fr: Economie nationale

de: Volkswirtschaft

it: Economia


pia-metadata-api

title_for_slug: PIA Metadata API

en: cultural-heritage documentation vintage-photography switzerland journalism photography everyday-life basel family-photos

fr: JSON-LD Metadata API

de: JSON-LD Metadata API

en: JSON-LD Metadata API

it: JSON-LD Metadata API

media_type: API

fr: Veuillez consulter la documentation sur la manière d'accéder à cette API : https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

de: Bitte lesen Sie in der Dokumentation nach, wie Sie auf diese API zugreifen können: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

en: Please refer to the documentation on how to access this API: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

it: Consultare la documentazione su come accedere a questa API: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

format: API

fr:
Le matériel qui peut être consommé via les API fait partie de deux collections de la Société suisse d'ethnologie. La première collection comprend plus de 100 ans (1860 - 1970) de photographies privées de la famille Kreis à Bâle. La deuxième collection contient l'œuvre photographique du journaliste suisse Ernst Brunner, qui a travaillé environ entre 1937 et 1962.

L'API métadonnées permet la consommation de métadonnées pour les images d'archives.

Documentation sous : https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

en:
The material that can be consumed through the APIs is part of two collections from the Schweizerische Gesellschaft für Volkskunde. The first collection spans more than 100 years (1860 - 1970) of private photographs of the family Kreis in Basel. The second collection contains the photographic work of the Swiss journalist Ernst Brunner, who was active roughly between 1937 and 1962.

The metadata API enables the consumption of metadata for the archives images.

Documentation under: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

de:
Das Material, das über die APIs konsumiert werden kann, ist Teil von zwei Sammlungen der Schweizerischen Gesellschaft für Volkskunde. Die erste Sammlung umfasst mehr als 100 Jahre (1860 - 1970) private Fotografien der Familie Kreis in Basel. Die zweite Sammlung enthält das fotografische Werk des Schweizer Journalisten Ernst Brunner, der etwa zwischen 1937 und 1962 tätig war.

Die Metadaten-API ermöglicht den Abruf von Metadaten für die Archivbilder.

Dokumentation unter: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

it:
Il materiale che può essere consumato tramite gli IPA fa parte di due collezioni della Società Etnologica Svizzera. La prima collezione comprende oltre 100 anni (1860-1970) di fotografie private della famiglia Kreis di Basilea. La seconda raccolta contiene il lavoro fotografico del giornalista svizzero Ernst Brunner, che ha lavorato all'incirca tra il 1937 e il 1962.

L'API dei metadati consente di consumare i metadati per le immagini degli archivi.

Documentazione in: https://docs.google.com/document/d/1cb1GQjrrPxzJLKHiCKfaSwaVh9EQg3-kqSj-Bpu464w.

basel

display_name: basel

cultural-heritage

display_name: cultural-heritage

documentation

display_name: documentation

everyday-life

display_name: everyday-life

family-photos

display_name: family-photos

journalism

display_name: journalism

photography

display_name: photography

switzerland

display_name: switzerland

vintage-photography

display_name: vintage-photography

fr: PIA Metadata API

de: PIA Metadata API

en: PIA Metadata API

it: PIA Metadata API

politics

fr: Politique

de: Politik

en: Politics

it: Politica

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

participatory-image-archives

fr: Archives d'images participatives

de: Partizipative Bildarchive

en: Participatory Image Archives

it: Archivi di immagini partecipative

fr: Le projet PIA établit un lien interdisciplinaire entre le milieu des données et des objets. Nous explorons les phases de l'archive analogique et numérique du point de vue de l'anthropologie culturelle, de la technologie et du design. En explorant les pratiques de connaissance participative dans les archives d'images de manière interdisciplinaire, nous nous engageons dans des processus impliquant des dimensions non familières et nous nous efforçons de les mettre en œuvre de manière coopérative. À cette fin, nous développons des outils numériques qui permettent de contextualiser, de relier et de contraster les images. Nous nous consacrons à la collaboration de la communauté scientifique et du grand public, en facilitant la préservation et la diffusion des connaissances, et en encourageant les utilisateurs à s'engager en collaboration avec leur propre histoire et leurs pratiques contemporaines. Dans une série d'ateliers et d'entretiens avec de futurs utilisateurs, les nouvelles exigences de la production de connaissances sous forme numérique et axée autour de processus seront élaborées.

en: The PIA project connects the world of data and things in an interdisciplinary manner. We explore the phases of the analogue and digital archive from the perspectives of cultural anthropology, technology and design. By exploring participatory knowledge practices in image archives in an interdisciplinary way, we engage with processes of unfamiliar disciplines and strive for a cooperative implementation thereof. For this purpose, we develop digital tools that support contextualising, linking and contrasting images. We are dedicated to the collaboration of the scientific community and the wider public, facilitating the preservation and dissemination of knowledge, and encouraging users to engage collaboratively with their own history and contemporary practices. In a series of workshops and interviews with future users, the new requirements of digital and process-oriented knowledge production will be elaborated.

de: Das PIA-Projekt verbindet interdisziplinär die Welt der Daten und Dinge. Wir erforschen die Phasen des analogen und digitalen Archivs aus wissensanthropologischer, technischer und gestalterischer Perspektive. Mit der interdisziplinären Erforschung von partizipativen Wissenspraktiken in Bildarchiven lassen wir uns auf Prozesse unvertrauter Disziplinen ein und streben nach einer kooperativen Umsetzung dieser. Dabei entwickeln wir digitale Werkzeuge, die das Kontextualisieren, Verknüpfen und Kontrastieren von Bildern ermöglichen. Wir widmen uns der Zusammenarbeit von Wissenschaft und Öffentlichkeit, unterstützen das Speichern und Vermitteln von Wissen und regen Nutzende zu einer partizipativen Auseinandersetzung mit der eigenen Geschichte und Gegenwart an. In einer Reihe von Workshops und Interviews mit künftigen Nutzenden werden die neuen Anforderungen der digitalen und prozessorientierten Wissensproduktion erarbeitet.

it: Il progetto PIA collega il mondo dei dati e delle cose in modo interdisciplinare. Esploriamo le fasi dell'archivio analogico e digitale dalle prospettive dell'antropologia culturale, della tecnologia e del design. Esplorando le pratiche di conoscenza partecipativa negli archivi di immagini in modo interdisciplinare, ci confrontiamo con processi di discipline sconosciute e cerchiamo di implementarli in modo cooperativo. A questo scopo, sviluppiamo strumenti digitali che supportano la contestualizzazione, il collegamento e il contrasto delle immagini. Ci dedichiamo alla collaborazione della comunità scientifica e del pubblico in generale, facilitando la conservazione e la diffusione della conoscenza e incoraggiando gli utenti a impegnarsi in modo collaborativo con la propria storia e le pratiche contemporanee. In una serie di workshop e interviste con i futuri utenti, verranno elaborati i nuovi requisiti della produzione di conoscenza digitale e orientata ai processi.


label: additional codelist

fr: Données détaillées modèle SF et SFP: Tableaux réguliers (codelist)

de: Detaillierte Daten FS und GFS Modell: Standardauswertungen (codelist)

en: Detailed data FS and GFS model: Regular tables (codelist)

it: Dati dettagliati modello SF e GFS: Tabelle regolare (codelist)

fr: Cette liste de codes peut être utilisée comme table d'aide pour les dimensions _arten_ et _funk_ de l'ensemble de données correspondant (identifiant : resource_standardauswertung).

en: This codelist can be used as an auxiliary table for the dimensions _arten_ and _funk_ of the corresponding dataset (identifier: resource_standardauswertung)

de: Diese codelist kann als Hilfstabelle für die Dimensionen _arten_ und _funk_ des zugehörigen Datensets (identifier: resource_standardauswertung) verwendet werden.

it: Questo codelist può essere utilizzata come tabella ausiliaria per le dimensioni _arten_ e _funk_ del dataset associato (identificatore: resource_standardauswertung).

fr: Données détaillées modèle SF et SFP: Tableaux réguliers (données)

de: Detaillierte Daten FS und GFS Modell: Standardauswertungen (Daten)

en: Detailed data FS and GFS model: Regular tables (data)

it: Dati dettagliati modello SF e GFS: Tabelle regolare (dati)

fr:
Ce jeu de données présente les données détaillées sur les finances publiques selon les modèles SF et SFP.
Les dimensions suivantes sont disponibles :

* arten: classification par nature (voir liste de codes)
* funk: classifcation fonctionnelle (voir liste de codes)
* jahr: année correspondante
* value: valeur correspondante
* dim: catégorie de la position (voir https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx, feuille "glossary", "SFP: Régistre" resp. "SF: Régistre")
* hh: unité d'administration publique (voir https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx, feuille "file_structure")
* unit: unité de la valeur
* model: modèle considéré

en:
This dataset shows detailed data on public finances according to the FS and GFS Models.
Following dimensions are shown:

* arten: used to classify by nature (see corresponding codelist)
* funk: used to classify by function (see corresponding codelist)
* jahr: corresponding year
* value: corresponding value
* dim: category, to which position belongs (see https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx sheet "glossary", "GFS: Sheet names" resp. "FS: Sheet names")
* hh: corresponding public household (see https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx sheet "file structure")
* unit: unit of value
* model: model used

de:
Dieses Datenset zeigt detaillierte Daten zu öffentlichen Finanzen gemäss FS- und GFS-Modell.
Folgende Dimensionen sind verfügbar:

* arten: ermöglicht Artengliederung (siehe zugehörige codelist)
* funk: ermöglicht funktionale Gliederung (siehe codelist)
* jahr: zeigt das entsprechende Jahr
* value: zeigt den Wert der entsprechenden Position
* dim: zeigt die Kategorie, zu welcher die Position gehört (siehe https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx sheet "glossary", "GFS: Tabellenblätter" resp. "FS: Tabellenblätter")
* hh: zeigt den entsprechenden öffentlichen Haushalt (siehe https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx sheet "file_structure")
* unit: zeigt die Einheit des Wertes
* model: zeigt das betrachtete Modell

it:
Questo dataset mostra dati dettagliati sulle finanze pubbliche secondo i modelli SF e GFS.
Sono mostrate le seguenti dimensioni:

* arten: classificazione per gruppi di beni e servizi (vedi codelist)
* funk: classificazione funzionale (vedi codelist)
* jahr: anno corrispondente
* value: valore corrispondente
* dim: categoria della posizione (vedi https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx, foglio "glossary", "GFS: Registro" risp. "SF: Registro")
* hh: unità della pubblica amministrazione (vedere https://www.efv.admin.ch/dam/efv/de/dokumente/finanzstatistik/daten/readme.xlsx.download.xlsx/readme.xlsx, scheda "file_structure")
* unit: unità di valore
* model: modello considerato

fr:
### Modèle SFP
En respectant le standard de statistique financière du Fonds monétaire international, le __modèle SFP__ assure la __comparabilité internationale__ des données de la statistique financière suisse. Ce standard est décrit dans le Manuel de statistiques de finances publiques (MSFP 2014).

### Modèle SF
Reposant sur le Modèle comptable harmonisé pour les cantons et les communes (MCH2) et s'inspirant des normes IPSAS (International Public Sector Accounting Standards), le __modèle SF__ assure la __comparabilité nationale__. Dans la classification par nature, les évaluations standard du modèle SF contiennent le bilan, le compte de résultats et le compte de financement. Dans ce dernier, les recettes et les dépenses sont présentées par fonction.

A partir de l’année comptable 2008, la statistique financière se base sur de nouveaux standards. C’est pourquoi la comparabilité avec les données du modèle national SF d’avant 2008 est limitée.

en:
### GFS model
__International comparability__ of Swiss financial statistics data is ensured with the __GFS Model__, which applies the financial statistics standard of the International Monetary Fund. This standard is described in the Government Finance Statistics Manual (GFSM 2014).

### FS model
__National comparability__ is achieved with the __FS Model__, which is based on the Harmonized Accounting Model for the Cantons and Communes (HAM2) and is thus inspired by the International Public Sector Accounting Standards (IPSAS). Standard evaluations with the FS Model always contain the statement of financial position, statement of financial performance and financing statement in the economic classification. Furthermore, receipts and expenditure are shown by function in the financing statement. In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model.

In the 2008 fiscal year, the financial statistics were adjusted to new standards. There is therefore limited comparability with the figures prior to 2008 in the national FS Model.

de:
### GFS Modell
Die __internationale Vergleichbarkeit__ der Schweizer Finanzstatistikdaten wird durch das __GFS-Modell__ sichergestellt, in welchem der finanzstatistische Standard des Internationalen Währungsfonds umgesetzt ist. Dieser Standard wird im Government Finance Statistics Manual GFSM2014 beschrieben.

### FS Modell
Die __nationale Vergleichbarkeit__ wird mit dem __FS-Modell__ sichergestellt, welches auf dem Harmonisierten Rechnungslegungsmodell der Kantone und Gemeinden (HRM2) basiert und sich damit an die International Public Sector Accounting Standards (IPSAS) anlehnt. Die Standardauswertungen im FS-Modell enthalten jeweils in der Artengliederung die Bilanz, die Erfolgsrechnung und die Finanzierungsrechnung. Zusätzlich werden in der Finanzierungsrechnung die Einnahmen und Ausgaben nach Funktionen ausgewiesen.

Mit dem Rechnungsjahr 2008 wurde die Finanzstatistik an neue Standards angepasst. Deshalb ist die Vergleichbarkeit mit den Zahlen vor 2008 im nationalen FS-Modell eingeschränkt.

it:
### Modello GFS
La __comparabilità a livello internazionale__ dei dati svizzeri della statistica finanziaria è garantita dal __modello GFS__, che attua lo standard della statistica finanziaria del Fondo monetario internazionale. Questo standard è descritto nel Government Finance Statistics Manual (GFSM2014).

### Modello SF
La __comparabilità a livello nazionale__ è garantita dal __modello SF__, che si basa sul modello di presentazione dei conti armonizzato dei Cantoni e dei Comuni (MPCA2) e quindi sugli International Public Sector Accounting Standards (IPSAS). Le valutazioni standard nel modello SF contengono nell’articolazione per tipi il bilancio, il conto economico e il conto di finanziamento. Inoltre, nel conto di finanziamento vengono indicate le entrate e le uscite secondo funzioni.

Con l’esercizio 2008 la statistica finanziaria è stata adeguata a nuovi standard. Pertanto, il raffronto con le cifre antecedenti al 2008 nel modello SF nazionale è limitato.

it: Dati dettagliati SF modello SF e GFS: Tabelle regolare

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

national-economy

en: National economy

finances

fr: Finances

de: Finanzen

en: Finances

it: Finanze

name: Federal Finance Administration, Financial Statistic

fr: Statistique Financière AFF

de: Finanzstatistik EFV

en: Financial Statistic FFA

it: Statistica Finanziaria AFF

fr:
L’Administration fédérale des finances (AFF) élabore la statistique des finances publiques et des assurances sociales en Suisse (statistique financière). Avec l’Office fédéral des statistiques (fournisseur principal de statistiques sur la Suisse), la Banque nationale suisse (pour les banques, les marchés financiers et la statistique de la balance des paiements), d’autres offices fédéraux (statistiques sectorielles) et les offices de la statistique des cantons et de diverses villes, l’AFF est l’un des plus importants producteurs officiels de statistiques en Suisse. Le service de la Statistique financière a pour tâche de présenter de manière transparente la situation du secteur public suisse en matière de recettes, de finances et de patrimoine. Grâce aux directives de l’AFF sur l’assurance-qualité, la Statistique financière est en mesure de garantir la production de statistiques de haut niveau qualitatif.

La Statistique financière fournit les services suivants :

* Rapports financiers consolidés et harmonisés relatifs à la Confédération, aux cantons, aux communes et aux assurances sociales publiques, sur la base des modèles comptables de la Confédération et des cantons (NMC, MCH2, etc.) et à des fins de comparaison au plan national ;
* Production et commentaire d’une statistique des finances publiques suisses, permettant des comparaisons internationales et respectant les normes du Fonds monétaire international (MSFP 2014) ;
* Préparation de données sur les finances publiques en vue de l’élaboration des comptes nationaux de la Suisse, notamment dans le cadre de l’accord sur les statistiques conclus à la faveur des Bilatérales II (SEC 2010) ;
* Évaluation et analyses spécifiques des données relatives aux finances publiques de la Suisse.

en:
The Federal Finance Administration (FFA) prepares statistics on the government units and social security funds (financial statistics). The FFA is thus one of Switzerland's main public producers of statistics, together with the Federal Statistical Office (main supplier of Swiss statistics), the Swiss National Bank (bank, financial market and balance of payments statistics) as well as other federal agencies (special statistics) and the statistics offices of the cantons and various cities and towns. The aim of financial statistics is to present a transparent picture of the revenue, finance and asset situation of Switzerland's general government sector. With the directive on quality assurance of the FFA, Financial Statistics Section guarantees the high quality of the statistics it produces.

The Financial Statistics Section provides the following services:

* Consolidated and harmonized financial reporting of the Confederation, cantons, communes and social security funds on the basis of the accounting models of the Confederation and of the cantons (NAM, HAM2, etc.) with the objective of national comparability.
* Production and reporting of internationally comparable statistics on Switzerland's public finances in accordance with the International Monetary Fund standards (GFSM 2014).
* Preparation of data on public finances as a basis for drawing up Switzerland's system of national accounts, particularly within the scope of the Statistics Agreement of the second series of bilateral agreements (ESA 2010).
* Specific evaluations and analyses of Swiss public finances.

de:
Die Eidgenössische Finanzverwaltung (EFV) erstellt die Statistik der öffentlichen Haushalte und Sozialversicherungen (Finanzstatistik). Damit gehört das Amt zusammen mit dem Bundesamt für Statistik (Hauptlieferant für schweizerische Statistiken), der Schweizerischen Nationalbank (Banken-, Finanzmarkt- und Zahlungsbilanzstatistik) sowie anderen Bundesämtern (Spezialstatistiken) und den Statistikämtern der Kantone und verschiedener Städte zu den wichtigen öffentlichen Statistikproduzenten der Schweiz. Aufgabe der Finanzstatistik ist eine transparente Darstellung der Ertrags-, Finanz- und Vermögenslage des staatlichen Sektors der Schweiz. Mit der Richtlinie zur Qualitätssicherung der EFV garantiert die Finanzstatistik für eine hohe Qualität der von ihr produzierten Statistiken.

Die Finanzstatistik erbringt folgende Dienstleistungen:

* Konsolidierte und harmonisierte Finanzberichterstattung von Bund, Kantonen, Gemeinden und öffentlichen Sozialversicherungen auf der Basis der Rechnungslegungsmodelle des Bundes und der Kantone (NRM, HRM2 etc.) mit dem Ziel der nationalen Vergleichbarkeit.
* Produktion und Berichterstattung einer international vergleichbaren Statistik der öffentlichen Finanzen der Schweiz nach den Standards des Internationalen Währungsfonds (GFSM2014).
* Bereitstellung von Daten zu den öffentlichen Finanzen als Basis für die Erstellung der Volkswirtschaftlichen Gesamtrechnung der Schweiz, insbesondere auch im Rahmen des Statistikabkommens der Bilateralen II (ESVG2010).
* Spezifische Auswertungen und Analysen zu den öffentlichen Finanzen der Schweiz.

it:
L'Amministrazione federale delle finanze (AFF) allestisce la statistica degli enti pubblici e delle assicurazioni sociali (statistica finanziaria). Unitamente all'Ufficio federale di statistica (principale produttore di statistiche svizzere), alla Banca nazionale svizzera (statistica delle banche, dei mercati finanziari e della bilancia dei pagamenti), ad altri Uffici federali (statistiche speciali) e agli Uffici di statistica cantonali e municipali, l’AFF è uno dei più importanti produttori di statistiche pubbliche della Svizzera. È compito della statistica finanziaria illustrare in modo trasparente la situazione inerente ai ricavi, alle finanze e al patrimonio degli enti pubblici della Svizzera. Con la direttiva per la garanzia della qualità dell’AFF, la sezione Statistica finanziaria garantisce l’alta qualità delle statistiche da essa condotte.

La statistica finanziaria effettua le seguenti prestazioni:

* Rendiconto finanziario consolidato e armonizzato di Confederazione, Cantoni, Comuni e assicurazioni sociali pubbliche sulla base dei modelli di presentazione dei conti della Confederazione e dei Cantoni (NMC, MPCA2 ecc.) al fine di consentire il confronto a livello nazionale.
* Allestimento e rendiconto di una statistica delle finanze pubbliche della Svizzera confrontabile a livello internazionale secondo gli standard del Fondo monetario internazionale (GFSM2014).
* Approntamento di dati sulle finanze pubbliche come base per l'allestimento dei conti economici generali della Svizzera, in particolare anche nel quadro dell'Accordo sulla statistica degli Accordi bilaterali II (SEC2010).
* Analisi specifiche e analisi delle finanze pubbliche della Svizzera.


dma-mediathek

maintainer: Digitale Medien der Armee DMA, Kundendienst Medienagentur

title_for_slug: dma-mediathek

fr: groupes-thematiques militaire 360 ddps mediatheque video photo

de: militar themes mediathek video foto 360 vbs

en: military ddps photograph media-library video theme-world 360

it: mediateca 360 ddps ambiti-tematici militare video foto

fr: MNA - Métadonnées

de: DMA - Metadaten

en: AFDM - Metadata

it: MDE - Metadati

media_type: application/json

fr: Les métadonnées montrent les clients et ressources de la médiathèque.

de: Die Metadaten zeigen, welche Mandanten und Assets erfasst sind.

en: The metadata show the clients and assets of the media library.

it: I metadati mostrano i clienti e asset della mediateca.

format: JSON

mimetype: application/json

fr: MNA - Ressources

de: DMA - Assets

en: AFDM - Assets

it: MDE - Asset

fr: Cette liste contient les ressources saisies par MNA.

de: Diese Liste enthält die von DMA erfassten Assets.

en: This list contains the assets of AFDM.

it: Questa lista contiene i asset dello MDE.

fr: MNA - Médiathèque

de: DMA - Mediathek

en: AFDM - Media library

it: MDE - Mediateca

media_type: html

fr: Compétences en photos et en vidéos.

de: Kompetenz in Fotos und Videos.

en: Expertise for photographs and videos.

it: Competenza sotto forma di foto e video.

mimetype: html

fr: MNA - Médiathèque historique

en: AFDM - Historic Media Library

de: DMA - Historische Mediathek

it: MDE - Mediateca storica

fr: Photos et films historiques.

de: Historische Momentaufnahmen in Fotos und in Filmen.

en: Historical snapshots and video footage.

it: Istantanee storiche in forma di foto e filmati.

fr: Sis à Berne, le MNA est le centre de compétences pour les produits et services dans les domaines de la formation et de la communication.

de: Das DMA mit Standort in Bern ist das Kompetenzzentrum für Produkte und Dienstleistungen in den Bereichen der Ausbildung und der Kommunikation.

en: The AFDM, located in Bern, is the competence center for products and services in the fields of education and communication.

it: Il MDE, con sede a Berna, è il centro di competenza per i prodotti e le prestazioni nei settori dell'istruzione e della comunicazione.

ambiti-tematici

display_name: ambiti-tematici

ddps

display_name: ddps

foto

display_name: foto

groupes-thematiques

display_name: groupes-thematiques

media-library

display_name: media-library

mediateca

display_name: mediateca

mediathek

display_name: mediathek

mediatheque

display_name: mediatheque

militaire

display_name: militaire

militar

display_name: militar

militare

display_name: militare

military

display_name: military

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

name: Digitale Medien der Armee DMA, Departement VBS

fr: Sis à Berne, le Centre des médias numériques de l’armée MNA est le centre de compétences pour les produits et services dans les domaines de la formation et de la communication.

en: The Armed Forces Digital Media Centre AFDM, located in Bern, is the competence center for products and services in the fields of education and communication.

de: Das Zentrum digitale Medien der Armee DMA mit Standort in Bern ist das Kompetenzzentrum für Produkte und Dienstleistungen in den Bereichen der Ausbildung und der Kommunikation.

it: Il Centro dei media digitali dell’esercito MDE, con sede a Berna, è il centro di competenza per i prodotti e le prestazioni nei settori dell'istruzione e della comunicazione.