en: fungi bacteria biodiversity soil restoration grassland soil-biodiversity nematodes plants soil-chemistry soil-biology topsoil-removal

en: Ecosystem coupling_interactions

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic
Correlation	non-parametric Spearman rank correlations between biotic and abiotic parameters (ecological interactions)

en: Vegetation data

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
column I-LW	Plant abundance per species (in total 327 plant species) expressed as cover percentage estimation according to van der Maarel (vdM 1979; 7 classes: 1-7); nomenclature according to Lauber & Wagner (1996)

en: Nematode data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
ASV.ID	unit number.letter code per amplicon sequence variant (in total 904)
Taxonomic rank	Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	ASV.ID (see Taxonomy)

en: Distance to target results

en:
Community	biotic community (vegetation, nematoda, fungi, prokaryota)
Treatment	Treatment groups; Y.4-30= restored grasslands (time since restoration); Initial=intensively managed grasslands (I)
Comparison	within- or between-community Bray-Curtis dissimilarity distance comparison
Label	within-community distances of initial/restored grasslands: treatment abbreviation; between-communities distances of initial/restored-to-target grasslands: treatment abbreviation plus Target (T; species-rich grasslands)
mean	Mean distance to Target (6 plots per treatment group)
sd	Standard deviation of distances to Target (6 plots per treatment group)

en: Networks

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Correlation	non-parametric Spearman rank correlations
Vertex.1+2	Comparison between network components; N.pool = total soil nitrogen pool [kg ha-1 12 cm-1]; Corg.pool = soil organic carbon pool [kg ha-1 12 cm-1], pH = soil pH [CaCl2]; BD = bulk density [g cm-3]; FC = field capacity [%]
	PCoA 1 + 2 biotic communities [Veg = vegetation; Nem = nematoda; Fun = fungi; Prok = prokaryota]
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic

en: Soil properties

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
N.pool	Soil nitrogen pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
Corg.pool	Soil organic carbon pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
pH	soil pH [CaCl2]
BD	Bulk density [g cm-3]
FC	Field capacity [%]
Veg.1	principle coordinate axis 1 (vegetation)
Veg.1	principle coordinate axis 2 (vegetation)
Nem.1	principle coordinate axis 1 (nematoda)
Nem.2	principle coordinate axis 2 (nematoda)
Fun.1	principle coordinate axis 1 (fungi)
Fun.2	principle coordinate axis 2 (fungi)
Prok.1	principle coordinate axis 1 (prokaryota)
Prok.2	principle coordinate axis 2 (prokaryota)
Veg.H	Shannon diversity (vegetation)
Nem.H	Shannon diversity (nematoda)
Fun.H	Shannon diversity (fungi)
Prok.H	Shannon diversity (prokaryota)

en: Fungi data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
OTU.ID	consecutive numbers for operational taxonomic units (OTUe 1-7794)
Taxonomic rank	Domain, Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	OTU.ID (see Taxonomy)

en:
This dataset contains all data, on which the following publication below is based.

Paper Citation:

_Resch, M.C., Schütz, M., Ochoa-Hueso, R., Buchmann, N., Frey, B., Graf, U., van der Putten, W.H., Zimmermann, S., Risch, A.C. (in review). Long-term recovery of above- and belowground interactions in restored grassland after topsoil removal and seed addition. Journal of Applied Ecology_

Please cite this paper together with the citation for the datafile.

Study area and experimental design
The study was conducted in and around two nature reserves, Eigental and Altläufe der Glatt, which were located approximately 5 km apart (47°27´ to 47°29´ N, 8°37´ to 8°32´ E, 417 to 572 m a.s.l., Canton of Zurich, Switzerland; Figure S1 and S2, Table S1). Mean annual temperature and precipitation are 9.8 ± 0.6 °C and 990 ± 168 mm (Kloten climate station 1988-2018; MeteoSchweiz, 2019). TFor this study, we used a space-for-time approach based on eight restoration sites that were between 3 and 32 years old. We measured recovery and restoration success by comparing the restored grasslands with intensively managed and semi-natural grasslands. Using a space-for-time approach requires high similarities in historical properties of the site, such as soil conditions and management regimes, to assure that temporal processes are appropriately represented by spatial patterns (Walker et al., 2010). This was the case in our study. The restored sites had similar soil conditions (i.e., soil type, structure, water availability) as the targeted semi-natural grasslands, while they shared the same agricultural legacy with intensively managed grasslands, i.e., biomass harvest and fertilization (manure and/or slurry) three to five times a year as well as tillage. We randomly established three 5 m x 5 m (25-m2) plots for plant identification and three 2 m x 2 m (4-m2) subplots for soil biotic and abiotic data collection at least 2 m away from the 25-m2 plots in each restoration site. Sites of similar age were grouped into four age classes: Y.4 (3 & 4 years after restoration), Y.18 (17 & 19 years), Y.24 (23 & 25 years), and Y.30 (27 & 32 years). Six intensively managed (Initial) and six semi-natural grassland (Target) sites complemented the experimental set-up, for a total of 36 plots. All plots were sampled under similar conditions, i.e., day of the year, air temperature, soil moisture, and time since last rain event, in June/July 2017 (intensively managed and semi-natural plots) and 2018 (restored plots).

Collection of plants and selected soil biota data
Plant species cover (in %) was visually estimated in each 25-m2 plot in mid-June (Braun-Blanquet, 1964; nomenclature: Lauber & Wagner, 1996). We calculated Shannon diversity and assessed plant community structure. We included soil microbial (fungi, procaryotes) and nematodes in our study as they represent the majority of soil biotic diversity and abundance (Bardgett & van der Putten, 2014), cover various trophic levels of the soil food web (Bongers & Ferris, 1999), and play key roles in soil functioning and ecosystem processes (Bardgett & van der Putten, 2014). In particular, soil nematodes were found to be well suited belowground indicators to evaluate recovery/development after restoration (e.g. Frouz, et al. 2008; Kardol et al., 2009; Resch et al., 2019). We randomly collected ten soil cores (2.2 cm diameter x 12 cm depths; sampler from Giddings Machine Company, Windsor, USA) in the 4-m2 subplots to assess soil nematode and microbial (fungal, prokaryotic) diversities and community structures. For soil nematodes, eight of the soil cores were combined and gently homogenized, placed in coolers and stored at 4 °C and transported to the laboratory (Netherlands Institute of Ecology, NIOO, Wageningen, Netherlands) within three days after collection. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriators (Oostenbrink, 1960). After extraction, each sample was divided into three subsamples, two for molecular identification and one to determine nematode abundance (see Resch et al., 2019). For the molecular work, two subsamples were stored in 70% ethanol (final volume 10 mL each) and transported to the laboratory at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland). Each subsample was reduced to roughly 200 μL by centrifugation and removal of the supernatant. The remaining ethanol was vaporized (65 °C for 3 h). Thereafter, 180 μL ATL buffer solution (Qiagen, Hilden, Germany) was immediately added and samples were stored at 4 °C until further processing. From these samples, nematode metagenomic DNA was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer`s protocol, except for the incubation step which was run at 56 °C for 4 h. PCR amplification of the V6-V8 region of the eukaryotic small-subunit (18S) was performed with 7.5 μL of genomic DNA template (ca. 1 ng/μL) in 25 μL reactions containing 5 μL PCR reaction buffer, 2.5 mM MgCL2, 0.2 mM dNTPs, 0.8 μM of each primer (NemF: Sapkota & Nicolaisen, 2015; 18Sr2b: Porazinska et al., 2009), 0.5 μL BSA, and 0.25 μL GoTaq G2 Hot Start Polymerase (Promega Corporation, Madison, USA). Amplification was using an initial DNA denaturation step of 95 °C for 2 min, followed by 35 cycles at 94 °C for 40 sec, 58 °C for 40 sec, 72 °C for 1 min, and a final elongation step at 72 °C for 10 min. Filtering, dereplication, sample inference, chimera identification, and merging of paired-end reads was implemented using the DADA2 pipeline (v.1.12; Callahan et al., 2016) to finally assign amplicon sequence variants (ASVs) as taxonomic units.
We combined and homogenized the remaining two soil cores to assess soil microbes, placed them in coolers (4 °C) and transported them to the laboratory at WSL. Metagenomic DNA was extracted from 8 g sieved soil (2 mm) using the DNAeasy PowerMax Soil Kit (Qiagen, Hilden, Germany) according to the manufacturer´s protocol. PCR amplification of the V3-V4 region of the small-subunit (16S) of prokaryotes (i.e., bacteria and archaea) and the ribosomal internal transcribed spacer region (ITS2) of fungi was performed with 1 ng of template DNA using PCR primers and conditions as previously described (Frey et al., 2016). PCRs were run in triplicates, pooled and sent to the Genome Quebec Innovation Centre (Montreal, QC, Canada) for barcoding using the Fluidigm Access Array technology (Fluidigm) and paired-end sequencing on the Illumina MiSeq v3 platform (Illumina Inc., San Diego, USA). Quality filtering, clustering into operational taxonomic units (OTUs, 97% similarity cutoffs) and taxonomic assignment were performed as previously described (Resch et al., 2021).Taxonomic classification of nematode, prokaryotic and fungal sequences was conducted querying against the most recent versions of PR2 (v.4.11.1; Guillou et al., 2013), SILVA (v.132; Quast et al., 2013), and UNITE (v.8; Nilsson et al., 2019) reference sequence databases. Taxonomic assignment cutoffs were set to confidence rankings ≥ 0.8 (below ranked as unclassified). Prokaryotic OTUs assigned to mitochondria or chloroplasts as well as OTUs or ASVs assigned to other than Fungi or Nematoda were manually removed prior to data analysis. The three datasets were filtered to discard singletons and doubletons. Taxonomic abundance matrices were rarefied to the lowest number of sequences per community to achieve parity of the total number of reads between samples (Prokaryotes: 10,929 reads; Fungi: 18,337 reads; Nematodes: 6,662 reads). We calculated Shannon diversity and assessed community structures for soil nematodes, prokaryotes and fungi based on their relative abundances of ASV or OTU at the taxon level.

Collection of soil physical and chemical properties
We randomly collected one undisturbed soil core (5 cm diameter, 12 cm depth) per 4-m2 subplot using a steel cylinder that fit into the soil corer. The cylinders were capped to avoid disturbance during transport and used to measure field capacity, rock content and fine earth density as previously described (Resch et al., 2021). We randomly collected another three soil cores (5 cm diameter, 12 cm depths) in each 4-m2 subplot to determine soil chemical properties. The cores were pooled, dried at 60 °C for 48 h and passed through a 2 mm sieve. We measured soil pH (CaCl2) on dried samples, total nitrogen (N) and organic carbon (C) concentration on dried and fine-ground samples (≤ 0.5 mm; for details see Resch et al., 2021). We calculated total N and organic C pools after correcting its concentration for soil depth, rock content and fine earth density.

bacteria

display_name: bacteria

biodiversity

display_name: biodiversity

fungi

display_name: fungi

grassland

display_name: grassland

nematodes

display_name: nematodes

plants

display_name: plants

restoration

display_name: restoration

soil

display_name: soil

soil-biodiversity

display_name: soil-biodiversity

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

topsoil-removal

display_name: topsoil-removal

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: Long-term recovery of above-and belowground interactions in restored grasslands


maintainer: EnviDat Support

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

state: active

type: dataset

en: Data plot of the forest station (LEB)

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 (LEB)

media_type: image/jpeg

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

format: SERVICE

mimetype: image/jpeg

en: Forest station data (LEB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

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 one meteorological station in Lens in Switzerland which is located within a natural coniferous forest with Scots pine (_Pinus sylvestris_; 150-170 yrs)) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lens 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

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: Lens, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: wetlands occupancy-models landscape amphibians conservation

en: Observation data

media_type: CSV

en: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

en: Covariate data 2

en: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

en: Covariate data 1

en: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

en: Model code, description

media_type: HTML

en: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

format: HTML

en: Original raw data

media_type: XLSX

en: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

format: XLS

en: Readme

media_type: PDF

en: Description of methods and datasets.

en: Model code

media_type: Rmd

en: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, and structural connectivity.

The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.

The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

amphibians

display_name: amphibians

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands

en: Amphibian observation and pond data (Aargau, Switzerland)


maintainer: Jonas Stillhard

en: forest permanent-forest-plot-data forest-structure primeval-beech-forest stand-inventory-data carpathian-biosphere-reserve fagus-sylvatica long-term-data-sets dem forest-dynamics

en: Dataset

media_type: application/zip

format: ZIP

mimetype: application/zip

en: Data description

en: Available online on publishers website

en:
In 2000, a permanent forest plot of 10 ha has been established in the core zone of the primeval beech forest of Uholka.
 All living and dead trees with a diameter at breast height (DBH) ≥ 60 mm were identified to species, DBH measured, stems tagged and mapped.
Since then, the plot has been remeasured in 2005, 2010, and 2015. In total, 4,820 individual trees were measured with 14,116 individual measurements throughout all four inventories.
In spring 2018, an Airborne Laser Scan was carried out, covering the Uholka‐Shyrokyi Luh forest. This data set allows us to derive a high‐resolution digital elevation model (DEM) of the plot area.
The data set allows for important insights into the development and the spatial and temporal dynamics of primeval beech forests.

carpathian-biosphere-reserve

display_name: carpathian-biosphere-reserve

dem

display_name: dem

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-structure

display_name: forest-structure

long-term-data-sets

display_name: long-term-data-sets

permanent-forest-plot-data

display_name: permanent-forest-plot-data

primeval-beech-forest

display_name: primeval-beech-forest

stand-inventory-data

display_name: stand-inventory-data

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: Stand inventory data from the 10‐ha forest research plot in Uholka, Ukraine


maintainer: Michael Lehning

en: snow-farming terrestrial-laser-scanning winter-tourism snowpack snow snow-conservation

en: Martell .sno

media_type: SNO

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Martell heap

en: HS Martell autumn 2015

media_type: text/plain

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

format: TXT

mimetype: text/plain

en: Martell .smet

media_type: SMET

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Hintermartell.

en: HS Martell spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en: HS Fluela autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903
Nodata: -9999

en: HS Fluela spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903

en: Fluela .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Windtunnel and DAV.

en: Fluela .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Flüela heap

en:
Two data sets obtained for snow farming projects (Fluela, Davos, CH and Martell, IT) in 2015.

The data set contains for each site:

* 10 cm GIS raster of snow depth calculated from terrestrial laserscanning surveys (TLS) in the end of winter season (April/May)

* 10 cm GIS raster of snow depth calculated from TLS in the end of summer season (October)

Input files for SNOWPACK model:

* .sno: snow profile at the end of winter

* .smet: meteorological data measured by weather stations in the area

For more details see Grünewald, T., Lehning, M., and Wolfsperger, F.: Snow farming: Conserving snow over the summer season, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-93, in review, 2017.

snow

display_name: snow

snow-conservation

display_name: snow-conservation

snow-farming

display_name: snow-farming

snowpack

display_name: snowpack

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

winter-tourism

display_name: winter-tourism

en: Snowfarming data set Davos and Martell 2015


maintainer: Frank Techel

en: observations alps avalanches snow shapefile

en: Selected wet snow avalanche activity data Davos, Switzerland (2011-2014)

en: Zip archive with shapefiles for the selected wet snow avalanche polygons, including metadata.

en:
Polygons of wet snow avalanches in the Davos area, as documented by the Swiss avalanche warning service. The georeferenced outlines of the avalanches contain both the release as well as the deposit area, but without separating between both.

The dataset is a subset of the total record of 1615 avalanches classified as wet snow avalanches from October 2011 - September 2014, containing those 255 avalanches exceeding 0.0125 km^2. Every polygon comes with meta data, including the date of occurrence.

This dataset is the underlying dataset to:
Wever, N., Vera Valero, C. and Techel, F. (2018) _Coupled snow cover and avalanche dynamics simulations to evaluate wet snow avalanche activity_. Submitted to J. Geophys. Res., in review.

alps

display_name: alps

avalanches

display_name: avalanches

observations

display_name: observations

shapefile

display_name: shapefile

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: meteodat-gmbh snow-water-equivalent snow wagital gcos

media_type: TXT

en:
Total water reserves of the snow cover [mio m3] for Wägital catchment, Switzerland, for reference date April 1. Data is separated in 2 elevation zones 900m-1500m asl and 1500m-2300m asl. Time period 1943-2022, status 2022-04-20.

Funded currently or in the past by:

- Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland
- Meteodat GmbH
- Institute of Geography, University of Zurich
- WSL Institute for Snow and Avalanche Research SLF
- Institute of Geography, ETH Zurich (IAC ETH Zurich)
- AG Kraftwerk Wägital (AXPO and EWZ)

See also https://www.meteodat.ch/waegital.html

gcos

display_name: gcos

meteodat-gmbh

display_name: meteodat-gmbh

snow-water-equivalent

display_name: snow-water-equivalent

wagital

display_name: wagital

en: Snow water equivalent for reference date April 1 for Wägital catchment, starting 1943


maintainer: Christian G. Sommer

en: snow wind-tunnel kinect wind-packing wind-crust

en: README

en: Describes the dataset in detail

en: Processing scripts

en: Contains the Matlab- and R-scripts used to process the Kinect data

en: Kinect data

media_type: Link

en: Links to the dataset

en:
This data sets contains the Microsoft Kinect data from 15 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winter 2016/17. The Kinect measures distributed snow depth.

The Kinect data is organized per experiment. Each experiment subfolder contains the processed Kinect depth images and some additional files.

Please refer to the README for more details on the data. The processing scripts are available for download as well. The scripts are mainly provided as documentation and would need to be adjusted to be used.

This dataset is the basis of the following publication:

Sommer C.G., Lehning M. & Fierz C. (2018). Wind Tunnel Experiments: Influence of Erosion and Deposition on Wind-Packing of New Snow. Front. Earth Sci. 6:4. doi: 10.3389/feart.2018.00004

kinect

display_name: kinect

wind-crust

display_name: wind-crust

wind-packing

display_name: wind-packing

wind-tunnel

display_name: wind-tunnel

en: Wind crust formation: Microsoft Kinect data


snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

en: snow-hydrology image-matching snow-depth avalanche aerial-imagery snow-water-equivalent dsm

en: Snow depth map 20120320

media_type: image/tiff

en: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

format: TIFF

mimetype: image/tiff

en: Snow depth map 20160420

en: Snow depth map 20160309

en: Snow depth map 20140417

en: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

en: Snow depth map 20100416

en: Snow depth map 20150415

en: Snow depth map 20160126

en:
Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en: Snow depth map 20130415

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground > 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths > 15m and smaller than < -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.

The work is published in:

Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology


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

en: Site photo of the forest station (VOB)

en: Site photo of the forest station from the side.

en: Forest station data (VOB)

en: Data file.

en: Site aerial photo (Vordemwald)

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

en: Data plot of the forest station (VOB)

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

en: Data plot of the field station (VOF)

en: Site photo of the field station (VOF)

en: Site photo of the field stationfrom the side.

en: Field station data (VOF)

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 Vordemwald in Switzerland where one station is located within a natural mixed forest stand (VOB) with European silver fir (_Abies alba_; 110 yrs) and oak trees (_Quercus sp._; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Vordemwald 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

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


data-broedlin-cnp

title_for_slug: data-broedlin-cnp

en: phosphorus nitrogen carbon drying-rewetting stoichiometry soil forest dissolved-organic-matter mineralization

en: Data Broedlin-CNP-Release

en: Raw data of C-N-P mobilization experiment from Oi, Oe/Oa, and A horizons of beech forest soils along a nutrient availability gradient.

en: Data Broedlin-CNP

en: Mircocosm experiment to identify the individual patterns and controls of C, N, and P mobilization in soils under beech forests. Organic and mineral horizons sampled along a nutrient availability gradient in Germany were exposed to either permanent moist conditions or to dry spells in microcosms and quantified the release of inorganic and organic C, N, and P.

carbon

display_name: carbon

dissolved-organic-matter

display_name: dissolved-organic-matter

drying-rewetting

display_name: drying-rewetting

forest

display_name: forest

mineralization

display_name: mineralization

nitrogen

display_name: nitrogen

phosphorus

display_name: phosphorus

soil

display_name: soil

stoichiometry

display_name: stoichiometry

en: Data Broedlin CNP


maintainer: Matthias Haeni

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

en: Site photo of the forest station (ISB)

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

en: Data plot of the forest station (ISB)

en: Data plot of the field station (ISF)

en: Site aerial photo (Isone)

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

en: Field station data (ISF)

en: Data file.

en: Site photo of the field station (ISF)

en: Site photo of the field station from the side.

en: Forest station data (ISB)

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 Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone 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

en: Isone, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

en: propgatoin-saw-test crack-propagation failure-initiation slab slab-tensile-support avalanche-forcasting rutschblock weak-layer snow-avalanche snow-stability-evaluation

en: data set on snow instability

en: Read-me file on snow instability data

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.

Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

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: Data set on snow instability


maintainer: Elisabeth Hafner

en: avalanche validation avalanche-hazard-mapping satellite snow

en: Satellite Avalanche Mapping Validation data and data description

media_type: ZIP

en: 14 shapefiles to be used only together with the data description also provided as a pdf.

en:
Validation points, validation area, ground truth coverage, SPOT 6 avalanche outlines, Sentinel-1 avalanche outlines, Sentinel-2 avalanche outlines, Davos avalanche mapping (DAvalMap) avalanche outlines as shapefiles and a detailed attribute description (DataDescription_EvalSatMappingMethods.pdf).

Coordinate system: CH1903+_LV95

The generation of this dataset is described in detail in:

Hafner, E. D., Techel, F., Leinss, S., and Bühler, Y.: Mapping avalanches with satellites – evaluation of performance and completeness, The Cryosphere, https://doi.org/10.5194/tc-2020-272, 2021.

avalanche

display_name: avalanche

avalanche-hazard-mapping

display_name: avalanche-hazard-mapping

satellite

display_name: satellite

snow

display_name: snow

validation

display_name: validation

en: Satellite avalanche mapping validation data


maintainer: Francesco Comola

en: saltation sediment cohesion wind sand snow

en: Output of the model simulations

en: Model results on granular splash and saltation process of sand and snow particles

en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.

The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.

In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

wind

display_name: wind

en: Saltation of cohesive granular materials


rorcc

maintainer: Tobias Wechsler

title_for_slug: rorcc

en: environmental-flow run-of-river-power-plants design-discharge climate-change hydropower

en: RoRCC

media_type: XLS

en:
The dataset “RoRCC” consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
-	metadata on the RoR power plants under consideration
-	annual and seasonal production scenarios differentiated into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)
-	annual and seasonal production loss due to environmental flow requirements
-	annual and seasonal the technical increase potential (via design discharge optimisation)
-	annual and seasonal changes in the hydrological cycle for the three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)

en:
The dataset "RoRCC" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle.

climate-change

display_name: climate-change

design-discharge

display_name: design-discharge

environmental-flow

display_name: environmental-flow

hydropower

display_name: hydropower

run-of-river-power-plants

display_name: run-of-river-power-plants


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

fr: cadastre identification-du-lieu-sig

de: grundbuch ortsbestimmung

label: geocat.ch permalink

spatial: Biel/Bienne

protocol: WWW:DOWNLOAD:MS Excel

fr: Télécharger les données (Datastore)

de: Daten herunterladen (Datastore)

media_type: MS Excel

fr: Ce jeu de données recense tous les noms de rues et de places de la Ville de Bienne en français et en allemand (traduction officielle). Son contenu est régi par l'ordonnance sur le registre des rues et des places à Bienne (RDCo 7.3-1).

de: Dieser Geodatensatz enthält alle Namen der Strassen und Plätze in der Stadt Biel auf Deutsch und Französisch (offizielle Übersetzung). Die Grundlage für den Inhalt ist die Verordnung über das Register der Strassen und Plätze in der Stadt Biel (SGR 7.3-1).

name: Stadt Biel - Dienststelle Vermessung und GIS

planung-umwelt-biel-bienne

fr: Planification et environnement Ville de Bienne

de: Planung und Umwelt Stadt Biel

fr: Bienne est la plus grande ville bilingue de Suisse et la métropole mondiale de l’horlogerie. Elle compte environ 56 000 habitantes et habitants. Grâce à son ouverture sur le monde et à sa situation centrale entre la Suisse alémanique et la Suisse romande, elle ne cesse de se développer de manière dynamique. Située au bord du lac de Bienne et au pied du Jura, elle jouit d’une qualité de vie remarquable.

de: Biel ist die grösste zweisprachige Stadt der Schweiz und Uhren-Weltmetropole. Sie zählt rund 56 000 Einwohnerinnen und Einwohner. Mit ihrer Weltoffenheit und dank ihrer zentralen Lage zwischen der deutschen und französischen Schweiz entwickelt sie sich stets dynamisch weiter. Am Bielersee und Jurasüdfuss gelegen bietet sie eine hohe Lebensqualität.

it: Bienne è la più grande città bilingue della Svizzera e la capitale mondiale dell’orologeria. Conta circa 56 000 abitanti. Grazie al suo cosmopolitismo e alla sua posizione centrale tra la Svizzera tedesca e quella francese, è in costante sviluppo dinamico. Situata sul lago di Bienne e ai piedi delle montagne del Giura, vanta un'elevata qualità di vita.

political_level: commune

value: Stadt Biel/Bienne Planung - geocat Harvester

fr: Répertoire des rues et places

de: Strassenverzeichnis


strassenverzeichnis

title_for_slug: strassenverzeichnis

basisdaten-biel-bienne

fr: Données de base Ville de Bienne

de: Basisdaten Stadt Biel

it: Città di Biel/Bienne

value: Stadt Biel/Bienne Basisdaten - geocat Harvester


maintainer: Thomas Fricker

de: baueingabe bewilligungsverfahren

de: json

media_type: application/json

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (seit 1991) (json)

format: JSON

mimetype: application/json

license: CC BY 3.0 CH

de: csv

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (seit 1991) (csv)

de: Bewilligte Gesuche, einschliesslich Nachtragsbewilligungen. Achtung: Die Daten können sich rückwirkend ändern! Die Gemeinde Liesberg wird aufgesplittet nach den beiden Ortschaften Liesberg und Liesberg Dorf ausgewiesen.

baueingabe

display_name: baueingabe

bewilligungsverfahren

display_name: bewilligungsverfahren

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

en:
The Canton of Basel-Country publishes open datasets of cantonal offices and agencies.
Further information at https://ogd.bl.ch/

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

political_level: canton

value: BL - DCAT


maintainer: Pascal Rigotti

media_type: text/csv

de: Staatssteuern der natürlichen Personen nach Einkommensklasse und Jahr (seit 2013) (csv)

de: Staatssteuern der natürlichen Personen nach Einkommensklasse und Jahr (seit 2013) (json)

de: Steuerstatistik

steuerbares-einkommen

display_name: steuerbares-einkommen

steuerertrag

display_name: steuerertrag

steuerpflichtige

display_name: steuerpflichtige

finances

fr: Finances

de: Finanzen

en: Finances

it: Finanze


maintainer: Siegfried Heinzl

de: wohnungen zimmerzahl

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (seit 1994) (csv)

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (seit 1994) (json)

de: Fortschreibung des Wohnungsbestands (bis 2014), Gebäude- und Wohnungsstatistik (ab 2015)

wohnungen

display_name: wohnungen

zimmerzahl

display_name: zimmerzahl


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

en: Site photo of the field station (BTF)

media_type: image/jpeg

en: Site photo of the field station from the side.

en: Data plot of the forest station (BTB)

en: Data file.

en: Field station data (BTF)

en: Site aerial photo (Bettlachstock)

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

media_type: application/pdf

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

en: Data plot of the field station (BTF)

en: Site photo of the forest station (BTB)

en: Site photo of the forest station from the side.

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 Bettlachstock in Switzerland where one station is located within a natural mixed forest stand (BTB) with European beech (_Fagus sylvatica_; 170-190 yrs), European silver fir (_Abies alba_; 190 yrs) and Norway spruce (_Picea abies_; 200 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Bettlachstock is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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

de: Bildung, Wissenschaft

en: Education and science

envidat

de: EnviDat: das Umwelt-Datenportal

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.

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.

en: Bettlachstock, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Tamara Bobst

de: versorgungsregion manner frauen altersklassen

de: json

de: Bevölkerungsbestand nach Geschlecht, Alter, Gemeinde und Jahr (seit 2003) (json)

de: csv

de: Bevölkerungsbestand nach Geschlecht, Alter, Gemeinde und Jahr (seit 2003) (csv)

de: Kantonale Bevölkerungsstatistik

altersklassen

display_name: altersklassen

frauen

display_name: frauen

manner

display_name: manner

versorgungsregion

display_name: versorgungsregion

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

kanton-basel-landschaft

en: Canton of Basel-Country

en:
The Canton of Basel-Country publishes open datasets of cantonal offices and agencies.
Further information at https://ogd.bl.ch/


waldbrandpraventionsmassnahmen

title_for_slug: waldbrandpraventionsmassnahmen

fr: SPARQL Endpoint avec présélection du graphe

de: SPARQL Endpoint mit Vorauswahl des Graph

en: SPARQL Endpoint with graph preselection

media_type: application/sparql-query

format: SPARQL

mimetype: application/sparql-query

media_type: text/html

mimetype: text/html

fr: Contient les mesures de prévention des incendies de forêt actuellement en vigueur dans les cantons.

de: Enthält die aktuell bestehenden Präventionsmassnahmen der Kantone zur Waldbrandgefahr.

en: Contains the forest fire prevention measures currently in force in the cantons.

it: Contiene le misure di prevenzione degli incendi di boschi attualmente in vigore nei Cantoni.

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

territory

de: Raum und Umwelt

en: Territory and environment

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

political_level: confederation

value: LINDAS DCAT Harvester BAFU

fr: Mesures de prévention des incendies de forêt

de: Waldbrandpräventionsmassnahmen

en: Forest fire prevention measures

it: Misure di prevenzione degli incendi di boschi


fr: cantonal votation

de: abstimmung kantonal

it: cantonale votazione

label: Description du format

label: Descrizione del formato

label: Descripziun dal format

label: Formatbeschreibung

identifier: json

identifier: csv

rm: Resultats finals da la votaziun chantunala "Änderung der Kantonsverfassung vom 22. März 2012 über den Verzicht des Amtsnotariats", 17 da zercladur 2012, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung der Kantonsverfassung vom 22. März 2012 über den Verzicht des Amtsnotariats", 17 juin 2012, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung der Kantonsverfassung vom 22. März 2012 über den Verzicht des Amtsnotariats", 17. Juni 2012, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung der Kantonsverfassung vom 22. März 2012 über den Verzicht des Amtsnotariats", 17 giugno 2012, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

kanton-basel-landschaft

de: Kanton Basel-Landschaft

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - Abstimmungen


leitungskataster-datensammelstellen

construction

de: Bau- und Wohnungswesen

en: Construction and housing

geography

fr: Géographie

de: Geographie

en: Geography

title_for_slug: leitungskataster-datensammelstellen

fr: geodonnees administration

en: geodata administration

it: geodati amministrazione

label: Geobasisdatenkatalog

label: Open Government Data

spatial: Kanton Thurgau (TG)

de: WMS

format: WMS

de: WFS

format: WFS

de: Die Gemeinden betreiben für die Daten des Leitungskatasters in ihrem Zuständigkeitsbereich eigene Datensammelstellen oder beauftragen Private mit dem Betrieb einer Datensammelstelle. Die Datensammelstellen, welche von den Gemeinden oder von beauftragten Privaten betrieben werden, prüfen die Daten gemäss den kantonalen Vorgaben und übermitteln die Daten an das Amt für Geoinformation.

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

value: TG-Kt - Geocat Harvester

de: Leitungskataster Datensammelstellen


kunstbautenkataster

geography

it: Geografia

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

title_for_slug: kunstbautenkataster

fr: geodonnees infrastructure-routiere structure-batie transport

de: geodaten verkehrsinfrastruktur bauwerk verkehr

en: geodata traffic-infrastructure built-structure transport

it: geodati infrastrutture-per-il-traffico struttura-edificata trasporti

label: ThurGIS Shop

de: Kunstbautenkataster

de: Beinhaltet alle Kunstbauten des Kantons Thurgau


korrektionsprojekte-von-flussen

territory

fr: Territoire et environnement

de: Raum und Umwelt

it: Territorio e ambiente

title_for_slug: korrektionsprojekte-von-flussen

fr: geodonnees eaux-geographie canalisation-de-fleuves-ou-de-rivieres eau-courante

de: geodaten gewasser flussregulierung fliessgewasser

en: geodata water-geographic river-channelling flowing-water

it: geodati acque-geografia canalizzazione-dei-fiumi acque-lotiche

de: Korrektionen Flüsse

de: Übersicht über wasserbauliche Korrektionsprojekte des Kantons

de: Korrektionsprojekte von Flüssen


kreiselkataster

title_for_slug: kreiselkataster

label: ThurGIS Viewer

de: Kreisel

de: Beinhaltet alle Kreisel des Kantons Thurgau sowie wichtige Knoten und deren Bezeichnung.

de: Kreiselkataster


langsamverkehr-veloland-schweiz

geography

de: Geographie

title_for_slug: langsamverkehr-veloland-schweiz

de: langsamverkehr veloweg fahrrad tourismus-und-freizeit raumplanung bgdi-bundesgeodaten-infrastruktur verkehrsnetze

label: Link zum Fachportal: http://map.veloland.ch

spatial: Schweiz

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

de: Data Download

fr: Service WMS-IFDG, couche "La Suisse à vélo"

de: WMS-BGDI Dienst, Layer "Veloland Schweiz"

en: WMS-FSDI service, layer "Veloland Schweiz"

it: Servizio WMS-IFDG, strato "La Svizzera in bici"

fr: Service WMTS-IFDG, couche , Layer "La Suisse à vélo"

de: WMTS-BGDI Dienst, Layer "Veloland Schweiz"

en: WMTS-FSDI service, layer "Veloland Schweiz"

it: Servizio WMTS-IFDG, strato "La Svizzera in bici"

format: WMTS

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: "La Suisse à vélo" fait partie de SuisseMobile et comprends les itinéraires nationaux, régionaux et locaux pour vélos en Suisse et au Liechtenstein. Ce jeu de donnée est publié en tant que partie des géodonnées de base "réseau de voies cyclables" selon l'ordonnance sur la géoinformation. Il est élaboré en collaboration entre l'office fédéral des routes OFROU, SuisseMobile et les cantons.

de: "Veloland Schweiz" von SchweizMobil umfasst die nationalen, regionalen und lokalen Velorouten der Schweiz sowie des Fürstentums Liechtenstein. Dieser Datensatz wird gemäss Geoinformationsverordnung als Teil des Geobasisdatensatz "Velowegnetze" publiziert. Er wird in Zusammenarbeit mit dem Bundesamt für Strassen ASTRA, SchweizMobil und den Kantonen erarbeitet.

en: “Veloland Schweiz” from SchweizMobil comprises the national, regional and local cycling routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons.

it: "La Svizzera in bici" di SvizzeraMobile copre le piste ciclabili nazionali, regionali e locali della Svizzera e del Principato del Liechtenstein. Conformemente all'ordinanza sulla geoinformazione, questo set di dati viene pubblicato come parte del set di geodati di base "Rete delle piste ciclabili". È sviluppato in collaborazione con l'Ufficio federale delle strade USTRA, SvizzeraMobile e i Cantoni.

bundesamt-fur-strassen-astra

fr: Office fédéral des routes OFROU

de: Bundesamt für Strassen ASTRA

en: Federal Roads Office FEDRO

it: Ufficio federale delle strade USTRA

fr: L'Office fédéral des routes (OFROU) est l'autorité suisse compétente pour l'infrastructure routière et le trafic individuel. Chapeauté par le Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC), il oeuvre en faveur d'une mobilité routière durable et sûre. Son objectif principal est de garantir le bon fonctionnement du réseau des routes nationales et principales.

de: Das Bundesamt für Strassen (ASTRA) ist die Schweizer Fachbehörde für die Strasseninfrastruktur und den individuellen Strassenverkehr. Im Verantwortungsbereich des eidgenössischen Departements für Umwelt, Verkehr, Energie und Kommunikation (UVEK) wirkt es für eine nachhaltige und sichere Mobilität auf der Strasse. Im Mittelpunkt steht die Sicherstellung der Funktionsfähigkeit des Nationalstrassen und Hauptstrassennetzes.

en: The Federal Roads Office (FEDRO) is Switzerland's federal authority responsible for road infrastructure and private road transport. It belongs to the Federal Department of the Environment, Transport, Energy and Communications (DETEC), and focuses on securing sustainable and safe mobility on the country's roads. Its principal objective is to secure the functionality of Switzerland's motorway and main road networks.

it: L'Ufficio federale delle strade (USTRA) è l'autorità svizzera competente in materia di infrastruttura stradale e traffico stradale privato. Parte integrante del Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC), l'Ufficio è impegnato nella realizzazione di una mobilità sostenibile e sicura sulla strada. Il suo obiettivo principale è di garantire la funzionalità della rete delle strade nazionali e principali.

value: ASTRA - Geocat Harvester

fr: Mobilité douce - la Suisse à vélo

de: Langsamverkehr - Veloland Schweiz

en: Non-motorised transport - Veloland Schweiz

it: Traffico lento - La Svizzera in bici


langsamverkehr-wanderland-schweiz

mobility

de: Mobilität und Verkehr

title_for_slug: langsamverkehr-wanderland-schweiz

de: langsamverkehr tourismus-und-freizeit raumplanung wanderweg bgdi-bundesgeodaten-infrastruktur wanderweg verkehrsnetze

label: Link zum Fachportal: http://map.wanderland.ch

fr: Service WMS-IFDG, couche "La Suisse à pied"

de: WMS-BGDI Dienst, Layer "Wanderland"

en: WMS-FSDI service, layer "Wanderland"

it: Servizio WMS-IFDG, strato "La Svizzera a piedi"

fr: Service WMTS-IFDG, couche , Layer "La Suisse à pied"

de: WMTS-BGDI Dienst, Layer "Wanderland"

en: WMTS-FSDI service, layer "Wanderland"

it: Servizio WMTS-IFDG, strato "La Svizzera a piedi"

fr: "La Suisse à pied" fait partie de SuisseMobile et comprends les itinéraires nationaux, régionaux et locaux pour la randonnée pédestre et en montagne ainsi que les chemins sans obstacles en Suisse et au Liechtenstein. Ce jeu de donnée est publié en tant que partie des géodonnées de base "Chemins pour piétons et de randonnée pédestre" selon l'ordonnance sur la géoinformation. Il est élaboré en collaboration entre l'office fédéral des routes OFROU, Suisse Rando, SuisseMobile et les cantons.

de: "Wanderland Schweiz" von SchweizMobil umfasst die nationalen, regionalen und lokalen Wander- und Bergwanderrouten sowie die hindernisfreien Wege der Schweiz und des Fürstentums Liechtenstein. Dieser Datensatz wird gemäss Geoinformationsverordnung als Teil des Geobasisdatensatz "Fuss- und Wanderwegnetze" publiziert. Er wird in Zusammenarbeit mit dem Bundesamt für Strassen ASTRA, den Schweizer Wanderwegen, SchweizMobil und den Kantonen erarbeitet.

en: “Wanderland Schweiz” from SchweizMobil comprises the national, regional and local hiking and mountain walking routes and barrier-free trails in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Walking and hiking networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, the Swiss hiking routes, SchweizMobil and the cantons.

it: "La Svizzera a piedi" di SvizzeraMobile copre i sentieri escursionistici nazionali, regionali e locali e i sentieri escursionistici di montagna, nonché i sentieri senza barriere della Svizzera e del Principato del Liechtenstein. Questo set di dati è pubblicato secondo l'ordinanza sulla geoinformazione nell'ambito del set di geodati di base "Reti di percorsi pedonali e sentieri". È elaborato in collaborazione con l'Ufficio federale delle strade USTRA, Sentieri Svizzeri, SvizzeraMobile e i Cantoni.

fr: Mobilité douce - la Suisse à pied

de: Langsamverkehr - Wanderland Schweiz

en: Non-motorised transport - Wanderland Schweiz

it: Traffico lento - La Svizzera a piedi


langsamverkehr-mountainbikeland-schweiz

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

mobility

fr: Mobilité et transports

it: Mobilità e trasporti

title_for_slug: langsamverkehr-mountainbikeland-schweiz

de: veloweg langsamverkehr fahrrad berg raumplanung bgdi-bundesgeodaten-infrastruktur verkehrsnetze tourismus-und-freizeit

label: Link zum Fachportal: http://map.mountainbikeland.ch

fr: Service WMS-IFDG, couche "la Suisse à VTT"

de: WMS-BGDI Dienst, Layer "Mountainbikeland Schweiz"

en: WMS-FSDI service, layer "Mountainbikeland Schweiz"

it: Servizio WMS-IFDG, strato "La Svizzera in mountain bike"

fr: Service WMTS-IFDG, couche , Layer "la Suisse à VTT"

de: WMTS-BGDI Dienst, Layer "Mountainbikeland Schweiz"

en: WMTS-FSDI service, layer "Mountainbikeland Schweiz"

it: Servizio WMTS-IFDG, strato "La Svizzera in mountain bike"

fr: "La Suisse à VTT" fait partie de SuisseMobile et comprends les itinéraires nationaux, régionaux et locaux pour VTT en Suisse et au Liechtenstein. Ce jeu de donnée est publié en tant que partie des géodonnées de base "réseau de voies cyclables" selon l'ordonnance sur la géoinformation. Il est élaboré en collaboration entre l'office fédéral des routes OFROU, SuisseMobile et les cantons.

de: "Mountainbikeland Schweiz" von SchweizMobil umfasst die nationalen, regionalen und lokalen Mountainbikerouten der Schweiz sowie des Fürstentums Liechtenstein. Dieser Datensatz wird gemäss Geoinformationsverordnung als Teil des Geobasisdatensatz "Velowegnetze" publiziert. Er wird in Zusammenarbeit mit dem Bundesamt für Strassen ASTRA, SchweizMobil und den Kantonen erarbeitet.

en: “Mountainbikeland Schweiz” from SchweizMobil comprises the national, regional and local mountainbike routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons.

it: "Svizzera paese di mountain bike" di SvizzeraMobile copre i percorsi nazionali, regionali e locali per mountain bike della Svizzera e del Principato del Liechtenstein. Conformemente all'ordinanza sulla geoinformazione, questo set di dati viene pubblicato come parte del set di geodati di base "Rete delle piste ciclabili". È sviluppato in collaborazione con l'Ufficio federale delle strade USTRA, SvizzeraMobile e i Cantoni.

fr: Mobilité douce - la Suisse à VTT

de: Langsamverkehr - Mountainbikeland Schweiz

en: Non-motorised transport - Mountainbikeland Schweiz

it: Traffico lento - La Svizzera in mountain bike


langsamverkehr-skatingland-schweiz

mobility

en: Mobility and Transport

title_for_slug: langsamverkehr-skatingland-schweiz

de: langsamverkehr skating veloweg tourismus-und-freizeit raumplanung bgdi-bundesgeodaten-infrastruktur verkehrsnetze

label: Link zum Fachportal: http://map.skatingland.ch

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

de: Data Download

fr: Service WMS-IFDG, couche "La Suisse en rollers"

de: WMS-BGDI Dienst, Layer "Skatingland Schweiz"

en: WMS-FSDI service, layer "Skatingland Schweiz"

it: Servizio WMS-IFDG, strato "La Svizzera in skating"

fr: Service WMTS-IFDG, couche , Layer "La Suisse en rollers"

de: WMTS-BGDI Dienst, Layer "Skatingland Schweiz"

en: WMTS-FSDI service, layer "Skatingland Schweiz"

it: Servizio WMTS-IFDG, strato "La Svizzera in skating"

de: RESTful API von geo.admin.ch

fr: "La Suisse en rollers " fait partie de SuisseMobile et comprends les itinéraires nationaux, régionaux et locaux pour rollers en Suisse et au Liechtenstein. Ce jeu de donnée est publié en tant que partie des géodonnées de base "réseau de voies cyclables" selon l'ordonnance sur la géoinformation. Il est élaboré en collaboration entre l'office fédéral des routes OFROU, SuisseMobile et les cantons.

de: "Skatingland Schweiz" von SchweizMobil umfasst die nationalen, regionalen und lokalen Skatingrouten der Schweiz und des Fürstentums Liechtenstein. Dieser Datensatz wird gemäss Geoinformationsverordnung als Teil des Geobasisdatensatz "Velowegnetze" publiziert. Er wird in Zusammenarbeit mit dem Bundesamt für Strassen ASTRA, SchweizMobil und den Kantonen erarbeitet.

en: “Skatingland Schweiz” from SchweizMobil comprises the national, regional and local skating routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons.

it: "La Svizzera in skating" di SvizzeraMobile copre le piste di skating nazionali, regionali e locali della Svizzera e del Principato del Liechtenstein. Conformemente all'ordinanza sulla geoinformazione, questo set di dati viene pubblicato come parte del set di geodati di base "Reti di percorsi ciclabili". È sviluppato in collaborazione con l'Ufficio federale delle strade USTRA, SvizzeraMobile e i Cantoni.

fr: Mobilité douce - la Suisse en rollers

de: Langsamverkehr - Skatingland Schweiz

en: Non-motorised transport - Skatingland Schweiz

it: Traffico lento - La Svizzera in skating


fr: Annuaire statistique de la Suisse 1911

de: Statistisches Jahrbuch der Schweiz 1911

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

value: BFS – DCAT Harvester


de: Statistisches Jahrbuch der Schweiz 1936

fr: Annuaire statistique de la Suisse 1936


de: Statistisches Jahrbuch der Schweiz 1903

fr: Annuaire statistique de la Suisse 1903


fr: Annuaire statistique de la Suisse 1920

de: Statistisches Jahrbuch der Schweiz 1920


fr: Annuaire statistique de la Suisse 1929

de: Statistisches Jahrbuch der Schweiz 1929


fr: Annuaire statistique de la Suisse 1928

de: Statistisches Jahrbuch der Schweiz 1928


fr: Annuaire statistique de la Suisse 1916

de: Statistisches Jahrbuch der Schweiz 1916


fr: Annuaire statistique de la Suisse 1901

de: Statistisches Jahrbuch der Schweiz 1901


kennzahlen-der-schweizer-pflegeheime

maintainer: Gruber-Briones

title_for_slug: Kennzahlen der Schweizer Pflegeheime

name: Office fédéral de la santé publique, section gestion de données et statistique (DMS)

author: Bundesamt für Gesundheit

label: Loi fédérale sur l’assurance-maladie

label: Loi sur la statistique fédérale

de: Aktuell - Kennzahlen der Schweizer Pflegeheime 2021

fr: Chiffres-clés des EMS suisses. Version allemande.

it: Cifre chiave delle case di cura svizzere. Versione tedesca.

fr: Actuel - Chiffres-clés des EMS suisses 2021

fr: Chiffres-clés des EMS suisses. Version française.

it: Cifre chiave delle case di cura svizzere. Versione francese.

it: Attuale - Cifre chiave delle case di cura svizzere 2021

fr: Chiffres-clés des EMS suisses. Version italienne.

it: Cifre chiave delle case di cura svizzere. Versione italiana.

de: Aktuell - Kantonale Kennzahlen der Schweizer Pflegeheime 2021

fr: Chiffres-clés des EMS suisses par Canton. Version allemande.

de: Gesamtschweizerische und kantonale Kennzahlen der Schweizer Pflegeheime. Deutsche Version.

it: Cifre chiave delle case di cura medicalizzate svizzere per Cantoni. Versione tedesca.

fr: Actuel - Chiffres-clés des EMS suisses par Canton 2021

fr: Chiffres-clés des EMS suisses par Canton. Version française.

de: Gesamtschweizerische und kantonale Kennzahlen der Schweizer Pflegeheime. Französische Version.

it: Cifre chiave delle case di cura medicalizzate svizzere per Cantoni. Versione francese.

it: Attuale - Cifre chiave delle case di cura medicalizzate svizzere per Cantone 2021

fr: Chiffres-clés des EMS suisses par Canton. Version italienne.

de: Gesamtschweizerische und kantonale Kennzahlen der Schweizer Pflegeheime. Italienische Version.

it: Cifre chiave delle case di cura medicalizzate svizzere per Cantoni. Versione italiana.

de: Beschreibung der Kennzahlen

fr: Dans le document PDF suivant, vous trouverez une liste de chaque chiffre-clé ainsi qu'une description et une formule de calcul. Version allemande.

de: Im folgenden PDF-Dokument finden Sie eine Auflistung der einzelnen Kennzahlen, jeweils mit Beschreibung und Berechnungsformel. Deutsche Version.

it: Nel seguente documento pdf è disponibile una lista delle singole cifre chiave, ognuna delle quali corredate da una descrizione e una formula di calcolo. Versione tedesca.

fr: Descriptions des chiffres-clés

fr: Dans le document PDF suivant, vous trouverez une liste de chaque chiffre-clé ainsi qu'une description et une formule de calcul. Version française.

de: Im folgenden PDF-Dokument finden Sie eine Auflistung der einzelnen Kennzahlen, jeweils mit Beschreibung und Berechnungsformel. Französische Version.

it: Nel seguente documento pdf è disponibile una lista delle singole cifre chiave, ognuna delle quali corredate da una descrizione e una formula di calcolo. Versione francese.

it: Descrizione delle cifre chiave

fr: Dans le document PDF suivant, vous trouverez une liste de chaque chiffre-clé ainsi qu'une description et une formule de calcul. Version italienne.

de: Im folgenden PDF-Dokument finden Sie eine Auflistung der einzelnen Kennzahlen, jeweils mit Beschreibung und Berechnungsformel. Italienische Version.

it: Nel seguente documento pdf è disponibile una lista delle singole cifre chiave, ognuna delle quali corredate da una descrizione e una formula di calcolo. Versione italiana.

fr: Archive 2012

de: Archiv 2012

it: Archivio 2012

fr: Chiffres-clés des EMS suisses 2012. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2012. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2012. Versione tedesca, francese e italiana.

fr: Archive 2013

de: Archiv 2013

it: Archivio 2013

fr: Chiffres-clés des EMS suisses 2013. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2013. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2013. Versione tedesca, francese e italiana.

fr: Archive 2014

de: Archiv 2014

it: Archivio 2014

fr: Chiffres-clés des EMS suisses 2014. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2014. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2014. Versione tedesca, francese e italiana.

fr: Archive 2015

de: Archiv 2015

it: Archivio 2015

fr: Chiffres-clés des EMS suisses 2015. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2015. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2015. Versione tedesca, francese e italiana.

fr: Archive 2016

de: Archiv 2016

it: Archivio 2016

fr: Chiffres-clés des EMS suisses 2016. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2016. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2016. Versione tedesca, francese e italiana.

fr: Archive 2017

de: Archiv 2017

it: Archivio 2017

fr: Chiffres-clés des EMS suisses 2017. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2017. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2017. Versione tedesca, francese e italiana.

fr: Chiffres-clés des EMS suisses 2018. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2018. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2018. Versione tedesca, francese e italiana.

fr: Chiffres-clés des EMS suisses 2019. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2019. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2019. Versione tedesca, francese e italiana.

fr: Chiffres-clés des EMS suisses 2020. Version allemande, française et italienne.

de: Kennzahlen der Schweizer Pflegeheime 2020. Deutsche, französische und italienische Version.

it: Cifre chiave delle case di cura svizzere 2020. Versione tedesca, francese e italiana.

fr: L'Office fédéral de la santé publique est chargé de publier les chiffres-clés relatifs aux établissements médico-sociaux (EMS) suisses. Ces chiffres se basent sur les données de la statistique des institutions médico-sociales (SOMED) que l'Office fédéral de la statistique récolte chaque année. La loi du 9 octobre 1992 sur la statistique fédérale (LFS ; RS 431.01) et les articles 23 et 59a de la loi fédérale du 18 mars 1994 sur l’assurance-maladie (LAMal ; RS 832.10) constituent la base légale de ce relevé statistique et administratif. La priorité est donnée aux chiffres-clés relevant des soins et des activités en lien avec l’assurance obligatoire des soins (AOS).

de: Das Bundesamt für Gesundheit ist beauftragt, Betriebskennzahlen der Schweizer Pflegeheime zu veröffentlichen. Sie basieren auf den Daten der Statistik der sozialmedizinischen Institutionen (SOMED), welche das Bundesamt für Statistik jährlich erhebt. Das Bundesstatistikgesetz vom 9. Oktober 1992 (BStatG; SR 431.01) sowie die Artikel 23 und 59a des Bundesgesetzes vom 18. März 1994 über die Krankenversicherung (KVG; SR 832.10) bilden die rechtliche Grundlage für diese statistische und administrative Erhebung. Der Fokus liegt auf Kennzahlen, die für die Pflege und die Tätigkeiten im Zusammenhang mit der obligatorischen Krankenpflegeversicherung (OKP) relevant sind.

it: L’Ufficio federale della sanità pubblica ha il compito di pubblicare le cifre chiave delle case di cura in Svizzera. Queste cifre si basano sui dati della statistica degli stabilimenti medico-sociali (SOMED), allestita annualmente dall’Ufficio federale di statistica. Le basi legali di questa rilevazione statistica e amministrativa sono la legge federale sulla statistica del 9 ottobre 1992 (LStat; RS 431.01) e gli articoli 23 e 59a della legge federale sull'assicurazione malattie del 18 marzo 1994 (LAMal; RS 832.10). La priorità è data alle cifre chiave relative alle cure e alle attività legate all'assicurazione obbligatoria delle cure medico-sanitarie (AOMS).

fr: Chiffres-clés des établissements médico-sociaux suisses

it: Cifre chiave delle case di cura svizzere

bundesamt-fur-gesundheit-bag

fr: Office fédéral de la santé publique OFSP

it: Ufficio federale della sanità pubblica UFSP

fr: L'Office fédéral de la santé publique (OFSP) fait partie du Département fédéral de l'intérieur. De concert avec les cantons, il assume la responsabilité des domaines touchant à la santé publique ainsi que la mise en œuvre de la politique sanitaire. Autorité à vocation nationale, il représente les intérêts sanitaires de la Suisse dans les organisations internationales et auprès d'autres Etats.

de: Das Bundesamt für Gesundheit (BAG) ist Teil des Eidgenössischen Departements des Innern. Es ist - zusammen mit den Kantonen - verantwortlich für die Gesundheit der Schweizer Bevölkerung und für die Entwicklung der nationalen Gesundheitspolitik. Zudem vertritt das BAG als nationale Behörde die Schweiz in Gesundheitsbelangen in internationalen Organisationen und gegenüber anderen Staaten.

en: The Federal Office of Public Health (FOPH) is part of the Federal Department of Home Affairs. Along with the cantons it is responsible for public health in Switzerland and for developing national health policy. As the national health authority, the FOPH also represents Switzerland's interests in the field of health in international organisations and with respect to other countries.

it: L'Ufficio federale della sanità pubblica (UFSP) è incorporato nel Dipartimento federale dell'interno. Unitamente ai Cantoni, è responsabile della salute della popolazione svizzera e dello sviluppo della politica nazionale in materia di salute. In qualità di autorità nazionale rappresenta inoltre gli interessi della Svizzera in materia di sanità in seno a organizzazioni internazionali e nei rapporti con altri Stati.


de: Statistisches Jahrbuch der Schweiz 1893

fr: Annuaire statistique de la Suisse 1893

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.


de: Statistisches Jahrbuch der Schweiz 1909

fr: Annuaire statistique de la Suisse 1909


fr: Annuaire statistique de la Suisse 1912

de: Statistisches Jahrbuch der Schweiz 1912


fr: Annuaire statistique de la Suisse 1940

de: Statistisches Jahrbuch der Schweiz 1940


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902


fr: Annuaire statistique de la Suisse 1914

de: Statistisches Jahrbuch der Schweiz 1914


fr: Annuaire statistique de la Suisse 1923

de: Statistisches Jahrbuch der Schweiz 1923


fr: Annuaire statistique de la Suisse 1941

de: Statistisches Jahrbuch der Schweiz 1941


fr: Annuaire statistique de la Suisse 1933

de: Statistisches Jahrbuch der Schweiz 1933


de: Statistisches Jahrbuch der Schweiz 1938

fr: Annuaire statistique de la Suisse 1938


fr: Annuaire statistique de la Suisse 1895

de: Statistisches Jahrbuch der Schweiz 1895


fr: Annuaire statistique de la Suisse 1892

de: Statistisches Jahrbuch der Schweiz 1892


de: Statistisches Jahrbuch der Schweiz 1927

fr: Annuaire statistique de la Suisse 1927


de: Statistisches Jahrbuch der Schweiz 1907

fr: Annuaire statistique de la Suisse 1907


de: Statistisches Jahrbuch der Schweiz 1939

fr: Annuaire statistique de la Suisse 1939


de: Statistisches Jahrbuch der Schweiz 1932

fr: Annuaire statistique de la Suisse 1932

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1934

de: Statistisches Jahrbuch der Schweiz 1934

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


fr: Annuaire statistique de la Suisse 1908

de: Statistisches Jahrbuch der Schweiz 1908


de: Statistisches Jahrbuch der Schweiz 1910

fr: Annuaire statistique de la Suisse 1910


fr: Index alphabétique de l'Annuaire statistique de la Suisse, tomes I à X (1891 à 1901) et de l'Atlas graphique et statistique, année 1897

de: Alphabetisches Inhaltsverzeichnis der Jahrgänge I-X (1891-1901) des Statistischen Jahrbuches der Schweiz und des graphisch-statistischen Atlasses vom Jahre 1897


de: Statistisches Jahrbuch der Schweiz 1937

fr: Annuaire statistique de la Suisse 1937


de: Statistisches Jahrbuch der Schweiz 1935

fr: Annuaire statistique de la Suisse 1935


fr: Annuaire statistique de la Suisse 1900

de: Statistisches Jahrbuch der Schweiz 1900


fr: Annuaire statistique de la Suisse 1905

de: Statistisches Jahrbuch der Schweiz 1905


fr: Annuaire statistique de la Suisse 1921

de: Statistisches Jahrbuch der Schweiz 1921


fr: Annuaire statistique de la Suisse 1904

de: Statistisches Jahrbuch der Schweiz 1904


de: Statistisches Jahrbuch der Schweiz 1926

fr: Annuaire statistique de la Suisse 1926


fr: Annuaire statistique de la Suisse 1922

de: Statistisches Jahrbuch der Schweiz 1922


fr: Annuaire statistique de la Suisse 1917

de: Statistisches Jahrbuch der Schweiz 1917


fr: Annuaire statistique de la Suisse 1918

de: Statistisches Jahrbuch der Schweiz 1918


de: Statistisches Jahrbuch der Schweiz 1898

fr: Annuaire statistique de la Suisse 1898

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1899

de: Statistisches Jahrbuch der Schweiz 1899

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


de: Statistisches Jahrbuch der Schweiz 1925

fr: Annuaire statistique de la Suisse 1925

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


fr: Annuaire statistique de la Suisse 1954

de: Statistisches Jahrbuch der Schweiz 1954


fr: Annuaire statistique de la Suisse 1944

de: Statistisches Jahrbuch der Schweiz 1944


fr: Annuaire statistique de la Suisse 1963

de: Statistisches Jahrbuch der Schweiz 1963


de: Statistisches Jahrbuch der Schweiz 1981

fr: Annuaire statistique de la Suisse 1981


fr: Annuaire statistique de la Suisse 1951

de: Statistisches Jahrbuch der Schweiz 1951


fr: Annuaire statistique de la Suisse 1949

de: Statistisches Jahrbuch der Schweiz 1949


fr: Annuaire statistique de la Suisse 1968

de: Statistisches Jahrbuch der Schweiz 1968


de: Statistisches Jahrbuch der Schweiz 1975

fr: Annuaire statistique de la Suisse 1975


fr: Annuaire statistique de la Suisse 1959-60

de: Statistisches Jahrbuch der Schweiz 1959-60


fr: Annuaire statistique de la Suisse 1962

de: Statistisches Jahrbuch der Schweiz 1962


de: Statistisches Jahrbuch der Schweiz 1971

fr: Annuaire statistique de la Suisse 1971


fr: Annuaire statistique de la Suisse 1989

de: Statistisches Jahrbuch der Schweiz 1989


fr: Annuaire statistique de la Suisse 1950

de: Statistisches Jahrbuch der Schweiz 1950

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1964

de: Statistisches Jahrbuch der Schweiz 1964

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


de: Statistisches Jahrbuch der Schweiz 1985

fr: Annuaire statistique de la Suisse 1985

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


de: Statistisches Jahrbuch der Schweiz 1974

fr: Annuaire statistique de la Suisse 1974


de: Statistisches Jahrbuch der Schweiz 1969

fr: Annuaire statistique de la Suisse 1969


de: Statistisches Jahrbuch der Schweiz 1961

fr: Annuaire statistique de la Suisse 1961


fr: Annuaire statistique de la Suisse 1976

de: Statistisches Jahrbuch der Schweiz 1976


fr: Annuaire statistique de la Suisse 1980

de: Statistisches Jahrbuch der Schweiz 1980


fr: Annuaire statistique de la Suisse 1979

de: Statistisches Jahrbuch der Schweiz 1979


fr: Annuaire statistique de la Suisse 1953

de: Statistisches Jahrbuch der Schweiz 1953


fr: Annuaire statistique de la Suisse 1993

de: Statistisches Jahrbuch der Schweiz 1993


de: Statistisches Jahrbuch der Schweiz 1958

fr: Annuaire statistique de la Suisse 1958


fr: Annuaire statistique de la Suisse 1943

de: Statistisches Jahrbuch der Schweiz 1943


de: Statistisches Jahrbuch der Schweiz 1972

fr: Annuaire statistique de la Suisse 1972