maintainer: Jonas Stillhard

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

en: Dataset

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

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


dischmex-meteorological-measurements

maintainer: Rebecca Mott

title_for_slug: dischmex-meteorological-measurements

en: meteorological-data dischma meteorological-measurements dischmex meteo-station

state: active

type: dataset

en: Meteorological measurements 2014

media_type: application/pdf

en: Location of the meteorological stations

format: PDF

mimetype: application/pdf

en: Meteorological measurements 2016

en: Meteorological measurement 2015

en: Overview sensors

format: XLS

media_type: application/zip

en: data

format: ZIP

mimetype: application/zip

en: Meteorological measurement 2014

en:
Meteorological measurements recorded in the Dischma valley from 2014-2016. In 2014 and 2015 we used 11 mobile weather stations from sensorscope to record meteorological parameter in the upper Dischma valley in the closer surroundings of the Gletschboden area. The meteorological stations are eqiupped with at least air temperature/humidity, wind velocity and wind direction sensors. Some stations are additionally equipped with precipitation, shortwave radiation and snow surface temperature sensors.
Three transects were installed at different aspects and were equipped with air temperature/humidity and wind sensors. Transect 1 (stations 2-4) provides meteorological Information on an east-north-east facing slope at elevations ranging between 2100 m and 2500 m. Transect 2 (stations 5-7) provides meteorological Information on a south-west slope and transect 3 (stations 8-10) on a north-west slope. Station 1 is fully equipped with meteorological sensors (temperature/humidity, wind, IR, up and downwand shortwave radiation and precipitation).
In 2016, mobile stations from sensorscope were replaced with six permanent meteorological stations. Meteorological stations 1-3 are equipped with an air temperature/humidity sensor, two wind speed sensors, a wind direction sensor and an incoming and outgoing shortwave radiation sensor. Stations 4 and 6 are equipped with an air temperature/humidity sensor and a wind speed/direction sensor. Station 5 is a equipped with an air temperature/humidity sensor, a wind speed/direction sensor, a snow surface temperature sensor, an incoming and outgoing shortwave radiation sensor and an incoming longwave radiation sensor.

dischma

display_name: dischma

dischmex

display_name: dischmex

meteo-station

display_name: meteo-station

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

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.

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.

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: DISCHMEX - Meteorological measurements


maintainer: Frank Techel

en: avalanche-danger avalanche-observations rutschblock-test extended-column-test switzerland norway

en: avalanche occurrence data (Norway, Sitzerland) - largest avalanche size per day and warning region

media_type: text/csv

format: CSV

mimetype: text/csv

en: Rutschblock data (Switzerland)

en: avalanche occurrence data (Norway, Sitzerland) - avalanche sizes per day and warning region

en: ECT data (Norway, Switzerland)

en:
Observational data used to quantitatively describe the key elements describing avalanche danger: snowpack stability, the frequency distribution of snowpack stability, and avalanche size.
The data set consists of
- Rutschblock test results (Switzerland)
- Extended Column Test results (Switzerland, Norway)
- Avalanche occurrence data (Switzerland, Norway).
The data were extracted from the respective operational databases of the national avalanche warning services in Switzerland (WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland) and Norway (The Norwegian Water Resources and Energy Directorate NVE).
For further information regarding the data, please refer to the publication or contact the author.

avalanche-danger

display_name: avalanche-danger

avalanche-observations

display_name: avalanche-observations

extended-column-test

display_name: extended-column-test

norway

display_name: norway

rutschblock-test

display_name: rutschblock-test

switzerland

display_name: switzerland

en: Stability tests, avalanche observations, Switzerland, Norway


maintainer: EnviDat Support

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

en: Site photo of the forest station (NEB)

media_type: image/jpeg

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

format: SERVICE

mimetype: image/jpeg

en: Site aerial photo (Neunkirch)

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

en: Field station data (NEF)

en: Data file.

en: Forest station data (NEB)

en: Data plot of the field station (NEF)

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

en: Data plot of the forest station (NEB)

en: Site photo of the field station (NEF)

en: Site photo of the field 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 Neunkirch in Switzerland where one station is located within a natural deciduous forest stand (NEB) with European beech (_Fagus sylvatica_; 160 yrs), sycamore maple (_Acer pseudoplatanus_; 160 yrs) and lime trees (_Tilia sp._; 110 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NEF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Neunkirch is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


maintainer: Anita C. Risch

en: fertilization ammonification herbivore nutrient-network grassland climate mineralization nitrification soil global-change nitrogen

en: Risch et al. 2020 - Raw data for publication "Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties"

en:
we assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

Study sites and experimental design
The 22 sites contributing to this project are part of the Nutrient Network Global Research Cooperative (NutNet, https://nutnet.umn.edu/). Mean annual temperature across our 22 sites ranged from -4 to 22°C, mean annual precipitation from 252 to 1,592 mm, and elevations from 6 to 4,261 m above sea level (Fig. 1, Supplementary Table S1). Soil organic C varied from 0.8 to 7.8%, soil total N from 0.1 to 0.6%, and the soil C:N ratio from 9.1 to 21.5. Soil clay content spanned from 3.0 to 35%, and soil pH from 3.4 to 7.6 (Supplementary Table S2). Thus, the sites covered a wide range of environments in which grasslands occur (Fig. 1, Supplementary Table S1 & S2).
At each site, the effects of nutrient addition and herbivore removal were tested via a randomized-block design (Borer et al., 2014; Supplementary Fig. S1a). Three replicate blocks with 10 treatment plots each were established at each site, with the exception of the site at bldr.us, where only two blocks were established (Supplementary Fig. S1a). The 10 plots were randomly assigned to a nutrient or fencing treatment, but only a subset of four plots was used in the current study, each with a different treatment (see below; Supplementary Fig. S1a). All plots were 5 x 5 m and divided into four 2.5 x 2.5 m subplots (Supplementary Fig. S1b). Each subplot was further divided into four 1 x 1 m square sampling plots, one of which was set aside for soil sampling (Borer et al., 2014; Supplementary Fig. S1b). Plots were separated by at least 1 m wide walkways.
In this study, we collected data from the following four treatments: (i) untreated control plots (Control), (ii) herbivore removal plots (Fence), (iii) plots fertilized with N, P, K, plus nine essential macro and micronutrients (NPK), and (iv) plots with simultaneous fertilizer addition and herbivore removal (NPK+Fence; Supplementary Fig. S1a). The number of years of treatment differed among sites (2 – 9 years since start of treatment; Supplementary Table S1). For the nutrient additions, all sites applied 10 g N m-2 yr-1 as time-release urea; 10 g P m-2 yr-1 as triple-super phosphate; 10 g K m-2 yr-1 as potassium sulfate. A micro-nutrient mix (Fe, S, Mg, Mn, Cu, Zn, B, Mo, Ca) was applied at 100 g m-2 together with K in the first year of treatments but not thereafter.
The vertebrate herbivore removal treatment (Fence) was established by fencing two plots, one control and one NPK plot, within each of the blocks (Supplementary Fig. S1a). We designed the fences so that they would effectively exclude aboveground mammalian herbivores with a body mass of over 50 g (Borer et al., 2014). At the majority of sites, the height of the fences was 180 cm, and the fence design included wire mesh (1 cm holes) on the first 90 cm along with a 30 cm outward-facing flange stapled to the ground to exclude burrowing animals; climbing and subterranean animals may potentially still access these plots (Borer et al., 2014). For slight modifications in fence design at a few sites see Supplementary Table S3. While most sites only had native herbivores, a few sites (4) were also grazed by domestic animals (Supplementary Table S1).
Potential and realized soil net N mineralization, ammonification, nitrification and other soil properties
Each site participating in the study received a package containing identical material from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) to be used for sampling and on-site N incubations. For the field incubation, we followed the protocol by Risch et al. (2015, 2019). Briefly, we drove a 5 x 15 cm (diameter x depth) steel cylinder 13.5 cm deep into the soil after clipping the vegetation at randomized locations in each plot. The top 1.5 cm of the cylinder remained empty to capture incoming N from run-off or deposition with a polyester mesh bag (mesh-size 250 µm) filled with 13.2 ± 0.9 g of acidic and alkaline exchanger resin (1:1 mixture; ion-exchanger I KA/ion-exchanger III AA, Merck AG, Darmstadt). The bag was fixed in place with a metal Seeger ring (Bruetsch-Rüegger Holding, Urdorf, Switzerland). We then removed 1.5 cm soil at the bottom of the cylinder and placed another resin bag to capture N leached from the soil column. The exchange resin was saturated with H+ and Cl- prior to filling the bags by stirring the mixture in 1.2M HCl for 1 h and then rinsing it with demineralized water until the electrical conductivity of the water reached 5 μS/cm. The cylinders were then re-inserted into the cored hole, level with the soil surface, and incubated for an average of 42 days (range 40 to 57days). The individual site coordinators chose the timing of incubation to start approximately six weeks prior to peak plant biomass production. All incubations were completed between February 2015 and January 2016 accounting for differences in growing season between northern and southern hemispheres. At the end of the incubation, the cylinders were re-collected and immediately shipped to WSL in an insulated box together with cold packs to halt further mineralization. Gloves were worn at all times to avoid contamination of the samples. Upon arrival at WSL, we extracted the resin bags and a 20 g subsample of sieved soil (4 mm) separately in a 100 ml PE-bottle with 80 ml 1 M KCl for 1.5 h on an end-over-end shaker and filtered through ashless folded filter paper (DF 5895 150, ALBET LabScience). We measured NO3- (colorimetrically; Norman & Stucki, 1981) and NH4+concentrations (flow injection analysis; FIAS 300, Perkin Elmer) on these filtrates.
At the start of the field incubation, we additionally collected two soil cores of 5 x 12 cm (diameter x depth) in each sampling plot and composited them to measure potential soil net Nmin, soil chemical and biological properties (see below). We also collected an additional sample (5 x 12 cm) to assess soil physical properties, which remained within the steel cylinder. Both ends were tightly closed with plastic caps. Cores were carefully packed to avoid further disturbance, and together with the composited soil samples, were shipped to the laboratory at WSL within a few days after collection.
From the composited samples, we extracted an equivalent of 20 g dry soil with KCl, as described above, and measured NO3- and NH4+concentrations. Realized soil net Nmin was then calculated as the difference between the inorganic N content of samples collected at the end of the incubation (plus N extracted from the bottom resin bag) and the N content at the beginning of the incubation; values were scaled to represent daily mineralization rates (mg N kg-1soil d-1; Risch et al., 2015). Realized soil net Nmin values represent an average period of 42 days prior to peak biomass, typically the highest period of biological activity, and not the entire year (Risch et al., 2019).
A second subsample of the composited sample was used to determine potential soil net Nmin in the laboratory (Risch et al., 2019). Briefly, we weighed duplicate samples (8 g dry soil) into 50-ml Falcon tubes. Soil moisture was brought to 60% of the field capacity of each plot, the Falcon tubes tightly closed and then incubated at 20°C for 42 days in a dark room. Every week the Falcon tubes were opened and ventilated. At the end of the incubation, the soil samples were extracted the same way as described above and NO3- and NH4+ was determined. Potential soil net Nmin was calculated as the difference between the N content before and after the incubation and scaled to represent daily values (mg N kg-1soil d-1). Using our NO3- and NH4+ measures we also calculated potential and realized soil net nitrification and soil net ammonification to be able to better understand the drivers of fertilization and herbivore removal effects on potential and realized soil net Nmin.
A third subsample of the composite soil sample was sieved (2 mm mesh) and microbial biomass (μg Cmic g-1 soil dry weight) was estimated by measuring the maximal respiratory response to the addition of glucose solution (4 mg glucose per g soil dry weight dissolved in distilled water; substrate-induced respiration method) on approximately 5.5 g of soil (Anderson & Domsch, 1978). The rest of the composited sample was dried at 65°C for 48 h, ground and sieved (2 mm mesh) to assess a series of soil chemical properties (Risch et al., 2019). We measured the percentage of clay as an indicator of soil texture (Gee & Bauder, 1986; Risch et al., 2019).
Statistical analyses
Potential and realized soil net Nmin were square root transformed to account for a highly skewed data distribution (yt = sign(y)*sqrt|y|; negative values in the data set impeded log transformation). To assess treatment effects on potential and realized soil net Nmin, we used linear mixed effects models (LMMs) fitted by maximum likelihood using the lme function from the nlme package (version 3.131.1; Pinheiro et al., 2016), R version 3.6.1; R Foundation for Statistical Computing. Treatment (Control, Fence, NPK, NPK+Fence) was a fixed factor, with site and block as random factors, where block was nested within site. We also tested for effects of time since start of treatments in preliminary analyses by adding total treatment years as an additional fixed factor. We did not find a significant effect of years of treatment, and thus dropped this variable from the models. The LMMs were corrected using varIdent if the homogeneity of variance criterion was not met (Pinheiro et al., 2016). To visualize our results, we calculated treatment effects using Cohens’ d statistic (Cohen, 1977; Koricheva et al., 2013). Note that calculating response ratios (or log response ratios) was not possible with our data, as we have both negative and positive values. We also fitted LMMs for potential and realized soil net ammonification and nitrification to gain more insight into how global change affects the processes underpinning potential and realized soil net Nmin. We also sqrt-transformed (see above) these dependent variables. Treatment was included as a fixed factor with random factors as described above. In addition, we assessed how potential and realized soil net Nmin were related to potential and realized soil net ammonification and nitrification, respectively. For this, we calculated site averages for each treatment separately. We then ran LMMs, with potential and realized soil net Nmin as the dependent variable, potential and realized soil net ammonification/nitrification as the independent ones. Site was included as a random factor.
Based on our previous work (Risch et al., 2019) and the existing literature (Schimel & Bennett, 2004; Liu et al., 2017), we developed a priori causal conceptual models of relationships among treatments, environmental drivers, and potential and realized soil net Nmin (Supplementary Fig. S2) to test with structural equation modelling (SEM) using a d-sep approach (Shipley, 2009; Lefcheck, 2016). The variables included in the model were long-term climatic conditions, specifically, site-level mean annual precipitation (MAP) and temperature of the wettest quarter (T.q.wet), plot-level soil texture (clay content) and soil microbial biomass. Mean annual precipitation and T.q.wet were obtained from WorldClim (Hijmans et al., 2005) (http://www.worldclim.org/) and together with the experimental treatments were predicted to directly affect soil properties and soil net Nmin (Supplementary Fig. S2). Soil clay content was, in turn, predicted to affect microbial biomass and soil net Nmin. Because we determined microbial biomass prior to incubating the samples in the laboratory or field, we assumed that the abundance of these microbes would be responsible for N process rates and not vice versa (Supplementary Fig. S2). We tested our conceptual model (Supplementary Fig. S2) using the piecewiseSEM package (version 2.0.2; Lefcheck, 2016) in R 3.4.0, in which a structured set of linear models are fitted individually. This approach allowed us to account for the nested experimental design, and overcome some of the limitations of standard structural equation models, such as small sample sizes (Shipley, 2009; Lefcheck, 2016). We used the lme function of the nlme package to model response variables, including site as a random factor. Good fit of the SEM was assumed when Fisher’s C values were non-significant (p > 0.05). For all significant interactions between covariates and experimental treatments detected in the SEMs, we calculated treatment effect sizes, i.e. the differences in potential or realized soil net Nmin between Control and treatments (Fence, NPK, NPK+Fence) and plotted these values against the climate or soil covariates. Finally, we fitted LMMs for the soil variables included in our SEMs, with treatment as the fixed factor, and with site and block as random factors, where block was nested within site.

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

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology

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

We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil

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: Anthropogenic change and soil net N mineralization


maintainer: Albrecht von Boetticher

en: hangmuren shallow-landslide debris-flow interfoam finite-volumes murgang dberisintermixing barrier-impact-simulation natural-hazard

en: debrisInterMixing for OF-Version 6

en: These are the installation instructions for debrisInterMixing4

en: Installation Instructions for debrisInterMixing-6

en:
This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

en:
Here the updated versions of debrisInterMixing are provided for download. The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

en: Three-dimensional debris flow simulation tool debrisInterMixing


maintainer: Roksolana Petrovska

en: regeneration lar shade-tolerance fagus acer dominance mortality-rate

media_type: r script (flat-ascii text)

en: The R-script of survival analysis for accelerated failure time model

en: Mortality of regeneration

media_type: CSV

en: Acer platanoides, Acer pseudoplatanus and Fagus sylvatica living and dead juveniles (0-500 cm in height) grown in the deep shade of a prime beech-dominated forest.

en:
 One individual per species, vitality class (low and high) and height class (eight classes: 0–10, 11–20, 21–35, 36–60, 61–90, 91–130, 131–200 and 201–500 cm) was randomly selected and harvested in each of the six plots. This resulted in a sample of 82, 80 and 89 living individuals of A. platanoides, A. pseudoplatanus and F. sylvatica, respectively.

 Additionally stems of dead Acer spp. and F. sylvatica trees that had died within the last three years (2015–2018) were randomly harvested, matching the height classes of the harvested living trees wherever possible. In total, 179 dead young trees (60 A. platanoides, 72 A. pseudoplatanus and 47 F. sylvatica) were collected.

 Variables:
* species_code: a_pla - Acer platanoides, a_pse - Acer pseudoplatanus, f_syl - Fagus sylvatica
* species: as above
* dummy: 0 - living individual, 1 - dead individual
* LAR_cm2_g: leaf area ratio or ratio of leaf area to total plant biomass, [cm2/g]
* tree_age: in years
* avg_ring_micron: average width of the last 5 rings in tree life excluding the last ring
* dry_mass_g: aboveground and belowground biomass
* DLI: direct light index (measured only under living individuals)
* BLI: diffuse light index (measured only under living individuals)
* GLI: global light index

acer

display_name: acer

dominance

display_name: dominance

fagus

display_name: fagus

lar

display_name: lar

mortality-rate

display_name: mortality-rate

regeneration

display_name: regeneration

shade-tolerance

display_name: shade-tolerance

en: Mortality of regeneration: Acer spp. and Fagus sylvatica


en: rutschblock snow-instability failure-layer snowpack snow-stratigraphy snow-profiles snowpack-simulation

en: Simulated snow profiles

media_type: .csv

en: Simulated snow stratigraphy in form of one *.csv-file per snow profile from the DAV and SWISS data sets (in respective subfolders). Each file is named after the profile ID which allows identifying the corresponding observed profile in the "observed_profiles" folder. One row corresponds to one simulated snow layer. The content of the columns 1-7 is described in Table 3 of the ReadMe file. The remaining columns (8-31) contain all features that were used in the development of the RF model and are described in Table 1 of the ReadMe file.

en: SWISS data set: Properties of observed snow profiles and simulated failure layers

en: For each profile pair from the SWISS data set, this file contains one row with information on the observed snow stability and all extracted features describing the simulated failure layers. Please note that only those profile pairs which fulfilled the similarity criteria (column similarity_obs_sim = 1, 121 profiles) were used to validate the RF model. The content of the columns is explained in Table 1 of the ReadMe file.

en: DAV data set: Properties of observed snow profiles and simulated failure layers

en:
For each profile pair from the DAV data set, this file contains one row with information on the observed snow stability and all extracted features describing the simulated failure layers. The content of the columns is explained in Table 1 of the ReadMe file. Only those profile pairs which fulfilled predefined similarity criteria (column
"similarity_obs_sim" = 1) and which belonged to the stability classes "stable" and "unstable" (column "stability_class"
= 0 or 1) were used to train the RF model. Please note that for each of the two snow profiles with RB score 7 (profile
IDs 7228 and 9526), three additional layers were included in this data set to obtain a balanced set of training data (73
unstable and 73 stable profiles).

en: Observed snow profiles

en: Observed snow stratigraphy in form of one *.csv-file per snow profile from the DAV and SWISS data sets (in respective subfolders). Each file is named after the profile ID which allows identifying the corresponding simulated profile in the "simulated_profiles" folder. One row corresponds to one observed snow layer. The content of the columns is described in Table 2 of the ReadMe file.

en: ReadMe

en: ReadMe file explaining data structure and content

en:
This data set includes information on all observed and simulated snow profiles that were used to train and validate the
random forest model described in Mayer et al. (2022). The RF model was trained to assess snow instability from simulated snow stratigraphy. The data set contains observed snow profiles from the region of Davos (DAV subset, 512 profiles) and from all over Switzerland (SWISS subset, 230 profiles). For each observed snow profile, there is a corresponding simulated profile which was obtained using meteorological input data for the numerical snow cover model SNOWPACK. The information on the observed snow profile contains a Rutschblock test result including the depth of the failure interface. As part of the study described in Mayer et al. (2022), each observed snow profile was manually compared to its simulated counterpart and the simulated layer corresponding to the Rutschblock failure layer was identified.

The data are provided in the following form: one file each per observed and simulated snow profile (2x512 files DAV, 2x230 files SWISS), two files (1 file DAV, 1 file SWISS) containing the observed information on snow instability, the allocation between observed and simulated failure layer, and all features extracted from the simulated weak layers that were used to develop the RF model.

failure-layer

display_name: failure-layer

rutschblock

display_name: rutschblock

snow-instability

display_name: snow-instability

snow-profiles

display_name: snow-profiles

snow-stratigraphy

display_name: snow-stratigraphy

snowpack

display_name: snowpack

snowpack-simulation

display_name: snowpack-simulation

education

en: Education and science

en: Observed and simulated snow profile data


en: mammals amphibians range-maps sdm iucn niche-models climate-variablity generalized-linear-models random-forests interannual-climate-variability chelsa reptiles species-distribution-models generalized-additive-models

en: Mammals

media_type: ZIP

en: Species distribution models based on different climate predictor groups

media_type: TXT

en: Readme file containing the file naming convention, file dimensions, and variable names

format: TXT

en: Amphibians

media_type: .zip

en: File containing the climate predictors as SAGA grid files (.sgrd)

media_type: .txt

en: File containing the record dimension, genus, and species of the respective netcdf files

en: Reptiles

en: We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.

amphibians

display_name: amphibians

chelsa

display_name: chelsa

climate-variablity

display_name: climate-variablity

generalized-additive-models

display_name: generalized-additive-models

generalized-linear-models

display_name: generalized-linear-models

interannual-climate-variability

display_name: interannual-climate-variability

iucn

display_name: iucn

mammals

display_name: mammals

niche-models

display_name: niche-models

random-forests

display_name: random-forests

range-maps

display_name: range-maps

reptiles

display_name: reptiles

sdm

display_name: sdm

species-distribution-models

display_name: species-distribution-models

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: Global species distributions for mammals, reptiles, and amphibians


maintainer: James W. Kirchner

en: snowmelt streamflow ecohydrology diel-cycle sap-flow diurnal-cycle evapotranspiration groundwater

en: Daily time series

media_type: text/plain

en: Daily hydrometeorological and ecohydrological time series

mimetype: text/plain

en: Subcatchment polygons

en: Subcatchment polygons for use in the Google Earth Engine scripts.

en: MODIS NDSI script

en: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

en: Metadata

en: Column descriptions for both data files, and map coordinates for all measurement locations.

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: MODIS EVI2 script

en: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

- groundwater levels (in two riparian transects of shallow groundwater wells),

- and stream stages (at 12 sites spanning a 500-meter elevation gradient),

and daily time series of

- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations

- diel cycle index values for groundwater levels and stream stages,

- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.

Google Earth Engine scripts for extracting the MODIS data are also provided.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA


en: climate grain-size soil ecological-indicator-values phylogenetic-diversity functional-diversity taxonomic-diversity

en: Data access

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

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: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


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

label: geocat.ch permalink

spatial: Kanton Zug (ZG)

de: Basisplan SW

de: WMS

format: WMS

de: Der Basisplan der amtlichen Vermessung, kurz BP-AV genannt, löst den zahlreich verwendeten Übersichtsplan ab. Er wird automatisch aus den Daten der amtlichen Vermessung digital produziert und ist deshalb stets aktuell. Der BP-AV ist primär als Hintergrund für thematische Pläne und zur Übersicht gedacht. Der Basisplan der amtlichen Vermessung ist in schwarz/weiss oder Farbe erhältlich.

name: Amt für Grundbuch und Geoinformation des Kantons Zug

gis-kanton-zug

fr: GIS Kanton Zug

de: GIS Kanton Zug

en: GIS Kanton Zug

de:
Die Abteilung Geoinformation ist das kantonale Kompetenzzentrum für Geoinformation im Kanton Zug.
Wir sind eine zukunftsorientierte Dienstleistungseinheit für die Verwaltung, Werke, Bürgerinnen und Bürger, Wirtschaft und Politik. Kantonale und kommunale Amtsstellen erhalten von uns Unterstützung bei Ihren GIS-Projekten.
Wir sorgen für die Einhaltung einheitlicher Standards bei der Erstellung von Datenmodellen und beim Einsatz der benötigten Software. Beim Beschaffen, Verwalten, Visualisieren, Bearbeiten, und Verteilen der Geodaten arbeiten wir eng mit den Fachämtern zusammen.

political_level: canton

value: ZG-Kt - Geocat Harvester

de: Basisplan-AV


maintainer: Matthias Haeni

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

en: Data plot of the forest station (OTB)

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

en: Forest station data (OTB)

en: Data file.

en: Site photo of the field station (OTF)

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

en: Site aerial photo (Othmarsingen)

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

en: Data plot of the field station (OTF)

en: Field station data (OTF)

en: Site photo of the forest station (OTB)

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

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


waldgrenzen-oereb

title_for_slug: waldgrenzen-oereb

fr: waldrand waldgrenze waldfeststellung waldabstand forstrecht

spatial: Kanton Schwyz (SZ)

fr: ÖREB: statische Waldgrenze

de: ÖREB: statische Waldgrenze

en: ÖREB: statische Waldgrenze

it: ÖREB: statische Waldgrenze

format: WFS

fr: Forstrechtlich relevante Grenzlinien von Waldflächen gegenüber Bauzonen

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schwyz als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

value: SZ-Kt Geoinformation - Geocat Harvester

fr: Waldgrenzen ÖREB

de: Waldgrenzen ÖREB

en: Waldgrenzen ÖREB

it: Waldgrenzen ÖREB


amtliche-vermessung-zg

geography

en: Geography

territory

en: Territory and environment

title_for_slug: amtliche-vermessung-zg

label: ZugMap.ch, der öffentliche Geodaten-Viewer des GIS Kanton Zug

de: geodienste.ch - WFS Amtliche Vermessung

de: geodienste.ch WMS Amtliche Vermessung (MOpublic)

de: Die amtliche Vermessung – ein nationales Produkt – liefert geometrische Daten zum Grundeigentum und ist die Grundlage für viele weitere geografische Informationen und Anwendungen in Wirtschaft, Verwaltung und Privatleben.

gis-kanton-zug

en: GIS Kanton Zug

de: Amtliche Vermessung ZG


en: gridded-data terrestiral-laserscanning terrestrial-laser-scans antarctica depth-of-snowfall

en: Scan from 11 January 2019, 10 cm resolution

media_type: ascii x, y, z

en: Scan from 4 January 2019, 10 cm resolution

en: Scan from 2 January 2019, 1 mm resolution

en: Scan from 27 December 2018, 1 mm resolution

en: Scan from 21 December 2018, 1 mm resolution

en: Scan from 21 December 2018, 10 cm resolution

en: Scan from 2 January 2019, 10 cm resolution

en: Scan from 11 January 2019, 1 mm resolution

en: Scan from 27 December 2018, 10 cm resolution

en: Scan from 4 January 2019, 1 mm resolution

en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.

Notes:

* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).

* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.

* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.

* By walking along fixed corridors, disturbance of the snow was limited.

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans

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: Terrestrial laser scans on Hammarryggen Ice Rise, Dronning Maud Land, East Antarctica


geography

de: Geographie

en: Geography

territory

de: Raum und Umwelt

en: Territory and environment

de: flugplatz luftfahrt sachplan flughafen zivilluftverkehr luftverkehr verkehrsnetze bgdi-bundesgeodaten-infrastruktur

label: Link zu Detailbeschreibung (ARE)

label: Link zu Geoinformation

label: Link zum Fachportal

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

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: Lien vers la distribution des données

de: Link für Datenbezug

en: Link for data download

it: Link per le fonti dei dati

format: HTML

fr: Lien vers le WMS

de: Link zum WMS

en: Link to WMS

it: Link verso WMS

media_type: INTERLIS

format: INTERLIS

fr: Consultations des cantons et des communes sur le plan sectoriel des transports, partie Infrastructure aéronautique (PSIA), avec information et participation de la population, conformément à l’art. 19 OAT, en cours ou terminées.

de: Laufende oder vergangene Anhörungen der Kantone und Gemeinden sowie Information und Mitwirkung der Bevölkerung nach Art. 19 RPV des Sachplans Verkehr, Teil Infrastruktur Luftfahrt (SIL)

en: Current or past consultations of the cantons and communes as well as information and participation of the population in accordance with Art. 19 RPV of the Sectoral Plan on transport, aviation infrastructure section (SIL)

it: Audizioni dei Cantoni e dei Comuni in corso o concluse nonché informazione e partecipazione della popolazione conformemente all’articolo 19 OPT in relazione al piano settoriale dei trasporti, parte Infrastruttura aeronautica (PSIA)

bundesamt-fur-zivilluftfahrt-bazl

fr: Office fédéral de l'aviation civile OFAC

de: Bundesamt für Zivilluftfahrt BAZL

en: Federal Office of Civil Aviation FOCA

it: Ufficio federale dell’aviazione civile UFAC

fr: L’Office fédéral de l’aviation civile (OFAC) est l’organe compétent en matière de politique aéronautique et de surveillance de l'aviation civile suisse. Placé sous l’autorité du Département fédéral de l’environnement, des transports, de l’énergie et de la communication (DETEC), l’OFAC veille à ce que l’aviation civile suisse bénéficie d’un niveau de sécurité élevé et suive un développement durable.

de: Das Bundesamt für Zivilluftfahrt (BAZL) ist für die Luftfahrtentwicklung und die Aufsicht über die zivile Luftfahrt in der Schweiz zuständig. Das BAZL gehört zum Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK) und ist dafür verantwortlich, dass die Zivilluftfahrt in der Schweiz ein hohes Sicherheitsniveau aufweist und eine nachhaltige Entwicklung verfolgt.

en: The Federal Office of Civil Aviation (FOCA) is responsible for aviation development and the supervision of civil aviation activities in Switzerland. The FOCA is part of the Federal Department of the Environment, Transport, Energy and Communications (DETEC) and is charged with ensuring that the high safety standards in civil aviation in Switzerland are maintained, and with pursuing a policy of sustainable development.

it: L’Ufficio federale dell’aviazione civile (UFAC), che fa parte del Dipartimento federale dell’ambiente, dei trasporti, dell’energia e delle comunicazioni (DATEC), è responsabile dell’evoluzione nel settore aeronautico e della sorveglianza sull’aviazione civile in Svizzera. Esso garantisce uno standard di sicurezza elevato e promuove il principio dello sviluppo sostenibile nell’aviazione civile elvetica.

political_level: confederation

value: BAZL - Geocat Harvester

fr: Plan sectoriel des transports, partie Infrastructure aéronautique (PSIA) - consultations

de: Sachplan Verkehr, Teil Infrastruktur Luftfahrt (SIL) - Anhörungen

en: Sectoral plan on transport, aviation infrastructure section (SIL) - consultations

it: Piano settoriale dei trasporti, parte Infrastruttura aeronautica (PSIA) - consultazioni


fr: Annuaire statistique de la Suisse 1891

de: Statistisches Jahrbuch der Schweiz 1891

media_type: text/html

mimetype: text/html

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


geography

fr: Géographie

territory

fr: Territoire et environnement

fr: Le plan sectoriel des transports, partie Infrastructure aéronautique (PSIA) est l'instrument de planification et de coordination de la Confédération pour l’aviation civile. Il fixe de manière contraignante pour les autorités les objectifs et exigences relatifs à l’infrastructure de l’aviation civile suisse. Pour chaque installation aéronautique il définit le but, le périmètre requis, les grandes lignes de l’affectation, l’équipement ainsi que les conditions opérationnelles générales. Il décrit en outre les effets sur l’aménagement du territoire et l’environnement (Ordonnance sur l’infrastructure aéronautique OSIA Art. 3a). Le PSIA constitue la référence en matière d'autorisation et d’exploitation de toutes les infrastructures aéronautiques civiles: aéroports nationaux, aérodromes régionaux, aérodromes militaires avec utilisation civile, champs d’aviation, places d'atterrissage en montagne et installations de navigation aériennes. Le PSIA se compose de deux parties: la partie conceptionnelle, qui présente les exigences et objectifs généraux, et la partie exigences et objectifs par installation incluant les fiches détaillées pour chaque aérodrome.

de: Der Sachplan Verkehr, Teil Infrastruktur Luftfahrt (SIL) ist das Planungs- und Koordinationsinstrument des Bundes für die zivile Luftfahrt. Er legt die Ziele und Vorgaben für die Infrastruktur der Zivilluftfahrt der Schweiz für die Behörden verbindlich fest. Für die einzelnen Flugplätze bestimmt er den Zweck, das beanspruchte Areal, die Grundzüge der Nutzung, die Erschliessung sowie die Rahmenbedingungen zum Betrieb. Er stellt zudem die Auswirkungen auf Raum und Umwelt dar (Verordnung über die Infrastruktur der Luftfahrt VIL Art. 3a). Der SIL bildet somit die Grundlage für die Genehmigung der Bauten und des Betriebs aller Infrastrukturanlagen der zivilen Luftfahrt: Landesflughäfen, Regionalflugplätze, zivil mitbenutzte Militärflugplätze, Flugfelder, Heliports, Gebirgslandeplätze und Flugsicherungsanlagen. Der SIL besteht aus zwei Teilen: dem Konzeptteil mit den generellen Zielen und Vorgaben sowie einem Objektteil, mit den konkreten Festlegungen für jede Anlage.

en: The sectoral plan on transport, aviation infrastructure section (SIL) is the federal planning and coordination tool for the civil aviation. Therein the goals and objectives for the infrastructure of Switzerland's civil aviation are bindingly established for authorities. Concerning the individual aerodromes it determines the purpose, the claimed area, the broad use, the exploitation and the conditions for operation. It also represents the impact on space and the environment (Verordnung über die Infrastruktur der Luftfahrt VIL Art. 3a). Thus, the SIL is the basis for approval of the construction and operation of all infrastructure of civil aviation: national airports, regional aerodromes, co-use civil- military aerodromes, airfields, heliports, mountain landing sites and air traffic control systems.The SIL consists of two parts: the concept of the general goals and objectives, and an object part, with the specific requirements for each facility.

it: Il piano settoriale dei trasporti, parte Infrastruttura aeronautica (PSIA) è lo strumento di pianificazione e di coordinamento della Confederazione in materia di aviazione civile. Stabilisce in modo vincolante per le autorità gli obiettivi e le esigenze relativi all’infrastruttura dell’aviazione civile svizzera. Definisce, per ogni impianto aeroportuale, l’obiettivo, l’area richiesta, le grandi linee di utilizzo, le infrastrutture e le condizioni d’esercizio generali. Descrive, inoltre, i suoi effetti sulla pianificazione del territorio e sull’ambiente (art. 3a, ordinanza sull’infrastruttura aeronautica, OSIA). Lo PSIA costituisce la base per l’approvazione delle costruzioni e dell’esercizio di tutte le infrastrutture dell’aviazione civile: aeroporti nazionali, aerodromi regionali, aerodromi militari usati a fini civili, campi d’aviazione, eliporti, aree d’atterraggio in montagna e impianti della navigazione aerea. Lo PSIA si articola in due parti: la parte concettuale, in cui figurano gli obiettivi e i progetti, e una parte dedicata alle schede di coordinamento di ogni singolo impianto.

fr: Plan sectoriel des transports, partie Infrastructure aéronautique (PSIA)

en: Sectoral plan on transport, aviation infrastructure section (SIL)

it: Piano settoriale dei trasporti, parte Infrastruttura aeronautica (PSIA)


fotografien-von-robert-breitinger

maintainer: Annabelle Wiegart

title_for_slug: Fotografien von Robert Breitinger

fr: openglam glam

de: openglam glam

en: glam openglam

it: glam openglam

de: Fotografien von Robert Breitinger

en: Photographs by Robert Breitinger

de: Metadaten der Sammlung Breitinger

en: Metadata of the Breitinger collection

en: The metadata are in MARCXML format.

de: Die Metadaten haben das MARCXML-Format.

format: XML

de: Primärdaten der Sammlung Breitinger

en: Primary data of the Breitinger collection

en: Robert Breitinger-Wyder was a heating engineer and stove manufacturer in Zürich. At age 45, he took up the hobby of photography, like so many of the bourgeoisie in Zürich at that time. His photographic work, which is objective and documentary in style, spans the period between 1886 and 1910. His main subjects were topographical views and individual buildings in the city of Zürich, occasionally he also photographed views of geographical locations in wider Switzerland. Other thematic areas of interest for Breitinger were the arts and crafts,  depictions of the frozen-over Lake Zürich in winter, trees and flowers, fountains and monuments, ships, and, unsurprisingly, heating stoves. Breitinger himself produced his photographs in two size categories: the cabinet and the visiting-card format. The cabinet card measures 13 x 18 cm (the collection comprises 18 boxes of these with 180-200 photos per box). The visiting-card format is sub-divided into three further sizes, all smaller in dimension than the cabinet card (there are 3 boxes of these, each containing between 200 and 220 photos).  The collection was catalogued and typed on to library index cards in 1934 and is organised according to Breitinger’s meticulous system. The biggest group contains images of Zürich city, in particular the neighbourhood of Enge with its prestigious villas. Buildings are frequently depicted, normally complete with information about their owner. Breitinger’s engineering training predisposed him to focus on the technical aspects of objects, resulting in various series of photographs featuring heating stoves, bridges and building sites. The time period covered by this collection of photographs encompasses and documents an intense period of development and change in Zürich’s urban history.

de: Robert Breitinger-Wyder war Heizungsingenieur und Ofenfabrikant in Zürich. Mit 45 Jahren wurde er Hobbyfotograf wie viele aus der damaligen gutbürgerlichen Gesellschaftsschicht Zürichs. Seine Arbeiten sind zwischen 1886 und 1910 in einem sachlichen Stil entstanden. Er fotografierte vorwiegend Ansichten und einzelne Gebäude der Stadt Zürich, aber auch Ansichten der übrigen Schweiz sind vertreten. Weitere Motive können thematischen Bereichen wie Kunst und Gewerbe, Seegfrörne, Bäume und Blumen, Brunnen und Denkmäler, Schiffe, Heizöfen und anderen zugeordnet werden. Die Fotografien wurden schon von Breitinger selbst in zwei Formate – Kabinet und Visit – unterteilt. Kabinet weist ein Format von 13 x 18 cm auf (18 Schachteln à 180–200 Fotografien). Visit liegt in drei verschiedenen Grössen vor, die aber alle kleiner als Kabinet sind (3 Schachteln à 200–220 Fotografien). 1934 wurde der Bestand katalogisiert und ein Zettelkatalog angelegt. Der Nachlass ist präzis nach Breitingers Systematik geordnet. Die grösste Gruppe bildet die Stadt Zürich, insbesondere das Quartier Enge mit seinen Villen. Gebäude kommen häufig vor, meistens noch mit einer Notiz des Besitzernamens. Als Ingenieur interessierte er sich sehr für den technischen Aspekt der Objekte. So gibt es Serien mit Aufnahmen von Heizöfen, Brücken und Baustellen. Die Zeitspanne, in der seine Arbeiten entstanden, umfasst und dokumentiert eine Phase des regen städtebaulichen Wandels von Zürich.

glam

display_name: glam

openglam

display_name: openglam

culture

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

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

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

fr: Zentralbibliothek Zürich

de: Zentralbibliothek Zürich

en: Zentralbibliothek Zürich

it: Zentralbibliothek Zürich

de: Die Zentralbibliothek Zürich (ZB) ist als öffentliche Stiftung seit über 100 Jahren die Kantons-, Stadt- und Universitätsbibliothek von Zürich. Mit 6,6 Millionen Objekten (Büchern, Zeitschriften, Handschriften, Bildern, Fotografien, Karten, Mikroformen, Musikalien, Tonträgern, DVDs usw.) und über 200 Mitarbeitenden gehört sie zu den grössten Bibliotheken der Schweiz. Dazu kommt ein breites Angebot an Datenbanken und über 200’000 elektronische Volltexte. Eine halbe Million Menschen pro Jahr besucht die ZB und nutzt ihre vielfältigen Angebote.


geography

de: Geographie

en: Geography

it: Geografia

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

fr: Data download

de: Data download

en: Data download

it: Data download

fr: Service WMS-IFDG, couche "Circulation routière - principal"

de: WMS-BGDI Dienst, Layer "Verkehrszählung - übergeordnet"

en: WMS-FSDI service, layer "Traffic counting locations - principal"

it: Servizio WMS-IFDG, strato "Circolazione stradale - principale"

fr: Service WMTS-IFDG, couche , Layer "Circulation routière - principal"

de: WMTS-BGDI Dienst, Layer "Verkehrszählung - übergeordnet"

en: WMTS-FSDI service, layer "Traffic counting locations - principal"

it: Servizio WMTS-IFDG, strato "Circolazione stradale - principale"

format: WMTS

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.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: Représentation des postes de comptage automatiques de la circulation sur les routes suisses - réseau principal

de: Darstellung der automatischen Verkehrszählstellen auf den schweizerischen Strassen - übergeordnetes Netz

en: Representation of the automatic traffic counting locations on Swiss roads - principal network

it: Rappresentazione dei contatori automatici del traffico sulle strade svizzere - rete principale

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: Comptage de la circulation routière - réseau principal

de: Strassenverkehrszählung - übergeordnetes Netz

en: Road traffic counting - principal network

it: Censimento svizzero del traffico stradale - rete principale


fr: Annuaire statistique de la Suisse 1944

de: Statistisches Jahrbuch der Schweiz 1944

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.


fr: Annuaire statistique de la Suisse 1915

de: Statistisches Jahrbuch der Schweiz 1915

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 1931

fr: Annuaire statistique de la Suisse 1931


fr: Annuaire statistique de la Suisse 1912

de: Statistisches Jahrbuch der Schweiz 1912


de: Statistisches Jahrbuch der Schweiz 1941

fr: Annuaire statistique de la Suisse 1941


fr: Annuaire statistique de la Suisse 1906

de: Statistisches Jahrbuch der Schweiz 1906


fr: Annuaire statistique de la Suisse 1920

de: Statistisches Jahrbuch der Schweiz 1920


fr: Annuaire statistique de la Suisse 1903

de: Statistisches Jahrbuch der Schweiz 1903


fr: Annuaire statistique de la Suisse 1971

de: Statistisches Jahrbuch der Schweiz 1971


de: Statistisches Jahrbuch der Schweiz 1975

fr: Annuaire statistique de la Suisse 1975


de: Statistisches Jahrbuch der Schweiz 1961

fr: Annuaire statistique de la Suisse 1961


fr: Annuaire statistique de la Suisse 2000

de: Statistisches Jahrbuch der Schweiz 2000


de: Statistisches Jahrbuch der Schweiz 1968

fr: Annuaire statistique de la Suisse 1968


de: Statistisches Jahrbuch der Schweiz 1993

fr: Annuaire statistique de la Suisse 1993


fr: Annuaire statistique de la Suisse 1991

de: Statistisches Jahrbuch der Schweiz 1991


de: Statistisches Jahrbuch der Schweiz 1952

fr: Annuaire statistique de la Suisse 1952

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


de: Statistisches Jahrbuch der Schweiz 1969

fr: Annuaire statistique de la Suisse 1969

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 2003

de: Statistisches Jahrbuch der Schweiz 2003

fr: Ce fichier électronique ne comprend que les textes de l"Annuaire - les tableaux se trouvent dans la version imprimée du livre.

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs - die Tabellen finden Sie im gedruckten Buch.


de: Pensionskassenstatistik 2018

de: Die Publikation zur Pensionskassenstatistik 2018 basiert auf den aggregierten Ergebnissen der für das Geschäftsjahr 2018 durchgeführten Erhebung. Sie erläutert das Konzept der Erhebung und orientiert über die Struktur und die Entwicklung der Schweizer Vorsorgeeinrichtungen mit aktiven Versicherten und reglementarischen Leistungen. Die kommentierten Ergebnisse liefern Kennzahlen und Informationen zur Struktur der Vorsorgeeinrichtungen, zur Situation ihrer Versicherten und Leistungen sowie zur Bilanz, zur Betriebsrechnung und zu den technischen Parametern. Abgeschlossen wird die Publikation mit einem Glossar zu spezifischen, in der Publikation verwendeten Fachbegriffen.

fr: Statistique des caisses de pensions 2018

fr: La publication de la statistique des caisses de pensions 2018 rend compte des résultats agrégés de l’enquête annuelle portant sur l’exercice 2018. Outre les éléments relatifs à la conception de l’enquête, elle donne une idée globale du paysage suisse et de l’évolution des institutions de prévoyance avec assurés actifs et prestations réglementaires. Les résultats commentés apportent des chiffres et des informations sur la structure des institutions de prévoyance, la situation de leurs assurés et prestations ainsi que sur la partie comptable (bilan et compte d’exploitation) et technique. Un glossaire de termes théoriques et spécifiques à l’enquête complète cette publication.

securite-sociale

display_name: securite-sociale

segirezza-sociala

display_name: segirezza-sociala

sicurezza-sociale

display_name: sicurezza-sociale

social-security

display_name: social-security

soziale-sicherheit

display_name: soziale-sicherheit

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale


fr: Taux d'activité futurs par âge selon le scénario de référence. Au 31 décembre, en %

de: Zukünftige Erwerbsquoten nach Alter gemäss dem Referenzszenario. Am 31. Dezember, in %

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito


fr: Annuaire statistique de la Suisse 1962

de: Statistisches Jahrbuch der Schweiz 1962


fr: Le système d'indicateurs «Mesure du bien-être». Édition 2020

de: Indikatorensystem Wohlfahrtsmessung. Ausgabe 2020


fr: Statistique de l'aviation civile suisse 2021 - 5. Passagers

de: Schweizerische Zivilluftfahrtstatistik 2021 - 5. Passagiere

mobilita-e-trasporti

display_name: mobilita-e-trasporti

mobilitad-e-traffic

display_name: mobilitad-e-traffic

mobilitat-und-verkehr

display_name: mobilitat-und-verkehr

mobilite-et-transports

display_name: mobilite-et-transports

mobility-and-transport

display_name: mobility-and-transport

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr


fr: SH-FlüStat: Bénéficiaires de l'aide sociale dans le domaine des réfugiés de 15 à 64 ans selon la situation d'activité

de: SH-FlüStat: Sozialhilfebeziehende im Flüchtlingsbereich von 15 bis 64 Jahren nach Erwerbssituation


fr: Équipement médico-technique des hôpitaux et des cabinets médicaux en 2019

de: Medizintechnische Ausstattung von Spitälern und Arztpraxen im Jahr 2019

gesundheit

display_name: gesundheit

health

display_name: health

salute

display_name: salute

sanadad

display_name: sanadad

sante

display_name: sante

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità


fr: Valeur de production de l'agriculture biologique et conventionnelle

de: Produktionswert von biologischer und konventioneller Landwirtschaft

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura


fr: Récupération des déchets à des fins de valorisation. Ménages et artisanat

de: Abfallverwertung (Recycling). Haushalte und Gewerbe

espace-et-environnement

display_name: espace-et-environnement

raum-und-umwelt

display_name: raum-und-umwelt

territori-ed-ambient

display_name: territori-ed-ambient

territorio-e-ambiente

display_name: territorio-e-ambiente

territory-and-environment

display_name: territory-and-environment

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

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.


de: Medizinisch unterstützte Fortpflanzung: Konservierung und Verwendung von Ovozyten, imprägnierten Eizellen und Embryonen

fr: Procréation médicalement assistée: conservation et utilisation des ovocytes, des ovules imprégnés et des embryons


spatial: Sonstige Raumgliederungen

fr: Structure JSON

de: JSON-Struktur

fr: Qualité de vie dans les quartiers des villes de City Statistics: habitat

fr: Ce dataset présente des indicateurs de l'habitat dans les quartiers des villes de City Statistics, depuis 2014.

de: Lebensqualität in den Quartieren der City Statistics Städten: Wohnsituation

de: Dieser Dataset präsentiert Indikatoren zur Wohnsituation in den Quartieren der Städte der City Statistics, ab 2014.

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione


fr: Degré tertiaire, hautes écoles spécialisées: titres délivrés selon la haute école et le domaine d'études

de: Tertiärstufe, Fachhochschulen: Bildungsabschlüsse nach Hochschule und Fachbereich

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza


de: Ferienwochen pro Jahr der vollzeiterwerbstätigen Selbständigen im Alter von 15 bis 64 Jahren nach Altersgruppe und Wirtschaftsabschnitt

fr: Semaines de vacances par année des indépendants à plein temps âgés de 15 à 64 ans selon les groupes d'âges et les sections économiques

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income

work

fr: Travail, rémunération

de: Arbeit, Erwerb


fr: Personnel des hautes écoles universitaires selon la haute école et le domaine d'enseignement

de: Personal an universitären Hochschulen nach Hochschule und Fachbereich


fr: Nouveaux bâtiments à usage d'habitation et nouveaux logements terminés, par catégorie et type de bâtiment, selon le genre et la catégorie de maîtres d'ouvrage

de: Neu erstellte Gebäude mit Wohnnutzung, neu erstellte Wohnungen nach Kategorie und Typ der Gebäude sowie nach Art und Kategorie der Auftraggeber

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione


fr: Aspects économiques des médias: Subventions fédérales dans le domaine des médias

de: Medienökonomische Aspekte: Bundessubventionen im Bereich Massenmedien

culture

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

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

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


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

spatial: Kanton Luzern

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Inventar der schützenswerten Ortsbilder der Schweiz (ISOS)

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester


maintainer: Federal Finance Administration, Financial Statistic Contact Point

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

finances

fr: Finances

de: Finanzen

en: Finances

it: Finanze

fr: Statistique Financière AFF

de: Finanzstatistik EFV

en: Financial Statistic FFA

it: Statistica Finanziaria AFF

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

La Statistique financière fournit les services suivants :

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

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

The Financial Statistics Section provides the following services:

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

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

Die Finanzstatistik erbringt folgende Dienstleistungen:

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

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

La statistica finanziaria effettua le seguenti prestazioni:

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