climarctic-seasons

en: This dataset includes measurements of potential microbial functions (potential extracellular enzyme activities and microbial functional genes abundance) and soil physico-chemical properties (pH, nutrients, texture, etc) in biocrusts and underlying mineral soils in High-Arctic tundra near Ny-Ålesund (Svalbard) during each season along a toposequence.

en: arctic greenhouse-gases microbial-biodiversity microbial-functions soil

en: Climarctic seasons

title_for_slug: climarctic-seasons

en:
Samples description
•	sample number: sample list number (S1 to S126)
•	season: season during which the samples were collected
•	location: one of the two location where the samples were collected in the vicinity of Ny Alesund on Svalbard
•	slope site: sites where the samples were collected along the toposequence (upslope = top of the slope, midslope = middle of the slope, downslope = bottom of the slope)
•	soil layer: depth layer where the sample were collected (biocrust = 0-2 cm and mineral soil = 5-10 cm)
•	replicate: replicated sampled (3 replicates per site)
Environmental variables
•	pH = pH value of the soil
•	sand = proportion of sand of the soil [%]
•	silt = proportion of silt of the soil [%]
•	clay = proportion of clay of the soil [%]
•	GWC = Gravimetric Water content in the soil [%]
•	OM = Organic Matter content in the soil [g]
•	N = Total Nitrogen content in soil [mg/g]
•	C = Total Carbon content in soil [mg/g]
•	C/N = ration of C content over N content [ratio]
•	NO3 = Nitrate content in soil [mg/kg]
•	NO2 = Nitrite content in soil [mg/kg]
•	NH4 = Ammonium content in soil [mg/kg]
•	Ptot = Total Phosphorus content in soil [mg/kg]
•	Pavail = Available Phosphorus content in soil [mg/kg]
•	PO4 = Phsphate content in soil [mg/kg]
•	CO2 = CO2 fluxes from soil [mmol CO2 m-2 d-1]
•	CH4 = CH4 fluxes from soil [umol CH4 m-2 d-1]
•	N2O = N2O fluxes from soil [umol CH4 m-2 d-1]
•	GPP = Gross Primary Production [mmol CO2 m-2 d-1]
•	ER = Ecosystem respiration [mmol CO2 m-2 d-1]
•	NEE = Net Ecosystem Exchange [mmol CO2 m-2 d-1]
•	glucoOM = glucosidase enzyme activity [mmol h-1 gOM-1]
•	23 xyloOM = xylosidase enzyme activity [mmol h-1 gOM-1]
•	chitOM = N-acetyl-glucosaminidase (chitinase) enzyme activity [mmol h-1 gOM-1]
•	phosOM = phosphatase enzyme activity [mmol h-1 gOM-1]
•	leuOM = leucine-aminopeptidase enzyme activity [mmol h-1 gOM-1]
•	PPOM = Polyphenol Peroxidase enzyme activity [mmol h-1 gOM-1]
•	POOM = Polyphenol Oxidase enzyme activity [mmol h-1 gOM-1]
•	30. Bac16SOM = Bacterial 16S gene abundance [copies gOM-1]
•	31. BacamoAOM = Bacterial amoA gene abundance [copies gOM-1]
•	32. ArchamoAOM = Archaeal 16S gene abundance [copies gOM-1]
•	33. nifHOM = nifH gene abundance [copies gOM-1]
•	34. nirSOM = nirS gene abundance [copies gOM-1]
•	35. nosZOM = nosZ gene abundance [copies gOM-1]
•	36. nxrBOM = nxrB gene abundance [copies gOM-1]
•	37. mcrAOM = mcrA gene abundance [copies gOM-1]
•	38. pmoAOM = pmoA gene abundance [copies gOM-1]

en: Climarctic seasons dataset Envidat.xlsx

arctic

display_name: arctic

greenhouse-gases

display_name: greenhouse-gases

microbial-biodiversity

display_name: microbial-biodiversity

microbial-functions

display_name: microbial-functions

soil

display_name: soil


en:
The available datasets are snow depth maps with a spatial resolution of 0.5 m derived from images of the survey camera Vexcel Ultracam mounted on a piloted airplane. Image acquisition was carried out during the approximately peak of winter (time when the thickest snowpack is expected) in spring. The snow depth maps are calculated by the subtraction of a summer-DTM from the processed winter- DSM of the corresponding date. The summer-DTM used was derived from a point cloud of an airborne laser scanner from 2020.

Due to the occurrence of inaccuracies of the calculated snow depth values caused by the photogrammetric method, we applied different masks to significantly increase the reliability of the snow depth maps. We masked out settled areas, high-frequented streets and technical constructions, pixels with high vegetation (height > 0.5 m) , outliers and unrealistic snow depth values. In addition, we modified the snow depth values of snow-free pixels to 0.
The information on buildings and infrastructure comes from the exactly classified ALS point cloud and the TLM dataset from Swisstopo (https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html#links). High vegetation is also derived from the classification and the calculated object height from the point cloud.
Outliers and unrealistic snow depth values are defined as negative snow depth values and snow depths exceeding 10 m. The classification of each pixel of the corresponding orthophoto into snow-covered or snow-free is based on the application of a threshold of the NDSI or manually determined ratios of the RGB values.

An extensive accuracy assessment proves the high accuracy of the snow depth maps with a root mean square error of 0.25 m for the year 2017 and 0.15 m for the following snow depth maps.

The work is published in:

en: avalanches davos dischma photogrammetry snow-depth-distribution snow-hydrology

envidat

approval_status: approved

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

en: Snow depth mapping by airplane photogrammetry (2017 -  ongoing)

type: dataset

key: guid

key: uri

value: Envidat Harvester

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

en: Snowdepth maps

format: GeoTIFF

avalanches

display_name: avalanches

davos

display_name: davos

dischma

display_name: dischma

photogrammetry

display_name: photogrammetry

snow-depth-distribution

display_name: snow-depth-distribution

snow-hydrology

display_name: snow-hydrology


en: LiDAR and PD radar data as well as camera videos of the 30 June 2022 debris flow at the Illgraben (Switzerland).

en: 3d-lidar analysis debris-flow illgraben pulse-doppler radar

en: Dataset for "Sorting and Surging 3D LiDAR and Pulse-Doppler Radar Analysis of a Natural Debris Flow"

format: ZIP

media_type: application/zip

analysis

display_name: analysis

debris-flow

display_name: debris-flow

illgraben

display_name: illgraben

pulse-doppler

display_name: pulse-doppler

radar

display_name: radar


individual-detected-trees

en: This dataset provides individual detected trees for selected Swiss Cantons (Appenzell Outer-Rhodes - AR, Grisons - GR, Nidwald - NW, Obwald - OW and St. Gall - SG), including the derived diameter at breast height and the derived NFI development stage. Data show the Individual detected trees (ITD) with the x- and y-positions of each detected tree based on a spike-free vegetation height model based on nationwide LiDAR data. The shapefile contains the following attributes: tree height [m] (Height), estimated diameter at breast height [cm] (BHD), and the NFI development stage (Ent; 1: young growth/thicket (< 12 cm); 2: pole timber (12-30 cm); 3: young timber (31-40 cm); 4: medium timber (41-50 cm); 5: old timber (> 50 cm).

en: development-stage forest-management forest-structure itd mountain-forest nfi

en: Individual Detected Trees

title_for_slug: individual-detected-trees

development-stage

display_name: development-stage

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

itd

display_name: itd

mountain-forest

display_name: mountain-forest

nfi

display_name: nfi


en:
This repository hosts the experimental data accompanying our publication, “On the compressive strength of weak snow layers of depth hoar,” featured in the Journal of Glaciology.

-Compressive Strength Data:
Measurements of the compressive strength for 92 artificially grown weak snow samples.
-Microstructural CT Data:
CT-derived microstructural information for each sample, including:
Density
Specific surface area
Connectivity density
Correlation lengths
Anisotropy
-Additional CT Data:
Parent Sample Variability: CT data used to assess the variability of the parent samples.
Temporal Evolution: CT data capturing the evolution within the artificial weak layers.
Reference Data: Information on the reference CT data sourced from the RHOSSA and MOSAiC campaigns.

en: depth-hoar microstructure slab-avalanche snow snow-mechanics strength

en:
CT Reference Data: Contains sample names, positions, evaluated regions and microstructural parameters based on data from the RHOSSA and MOSAiC campaigns.
MOSAiC:
https://mosaic-portal.org/data/open-mcs/vessel/polarstern/sn_microct/sn_microct/exdata/
https://doi.org/10.1594/PANGAEA.952794
RHOSSA:
https://doi.org/10.16904/envidat.151

format: CSV

media_type: text/csv

en: Experimental Data: Contains results of the compression experiments and microstructural parameters.

en: Parent sample variability: Contains the CT data used to estimate the parent sample variability.

en: Time series data: Contains the CT data of upper slab, weak layer and lower slab used to evaluate the temporal evolution within the artificial samples.

depth-hoar

display_name: depth-hoar

microstructure

display_name: microstructure

slab-avalanche

display_name: slab-avalanche

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

strength

display_name: strength


chelsacerra-daily

en:
CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes commonly used climate variables for impact modeling, such as air temperature, precipitation, humidity, solar radiation, wind speed, and derived variables.
CHELSAcerra daily is a high resolution climate dataset for air-temperatures generated with the CHELSA downscaling model using the Copernicus regional reanalysis for Europe (CERRA).
Daily summaries are provided for: Daily Mean Near-Surface Air Temperature

en: air-temperature climate europe maximum-temperature minimum-temperature reanalysis

envidat

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: CHELSAcerra-daily

title_for_slug: chelsacerra-daily

en: Daily Mean Near-Surface Air Temperature

en: Daily Mean Near-Surface Air Temperature 1985

format: SERVICE

en: Daily Mean Near-Surface Air Temperature 1986

en: Daily Mean Near-Surface Air Temperature 1987

en: Daily Mean Near-Surface Air Temperature 1988

en: Daily Mean Near-Surface Air Temperature 1989

en: Daily Mean Near-Surface Air Temperature 1990

en: Daily Mean Near-Surface Air Temperature 1991

en: Daily Mean Near-Surface Air Temperature 1992

en: Daily Mean Near-Surface Air Temperature 1993

en: Daily Mean Near-Surface Air Temperature 1994

en: Daily Mean Near-Surface Air Temperature 1995

en: Daily Mean Near-Surface Air Temperature 1996

en: Daily Mean Near-Surface Air Temperature 1997

en: Daily Mean Near-Surface Air Temperature 1998

en: Daily Mean Near-Surface Air Temperature 1999

en: Daily Mean Near-Surface Air Temperature 2000

en: Daily Mean Near-Surface Air Temperature 2001

en: Daily Mean Near-Surface Air Temperature 2002

en: Daily Mean Near-Surface Air Temperature 2003

en: Daily Mean Near-Surface Air Temperature 2004

en: Daily Mean Near-Surface Air Temperature 2005

en: Daily Mean Near-Surface Air Temperature 2006

en: Daily Mean Near-Surface Air Temperature 2007

en: Daily Mean Near-Surface Air Temperature 2008

en: Daily Mean Near-Surface Air Temperature 2009

en: Daily Mean Near-Surface Air Temperature 2010

en: Daily Mean Near-Surface Air Temperature 2011

en: Daily Mean Near-Surface Air Temperature 2012

en: Daily Mean Near-Surface Air Temperature 2013

en: Daily Mean Near-Surface Air Temperature 2014

en: Daily Mean Near-Surface Air Temperature 2015


en:
This repository hosts the experimental data accompanying our publication "The influence of snow microstructure on the compressive mechanical properties of weak snowpack layers" feautured in Acta Materialia.
- Experimental Data and microstructural descriptors:
Full dataset used for the main analysis of the paper. Contains the measured mechanical properties, µCT parameters, further analysis, etc. The column "ID" (e.g. 363) links this data with the 3D µCT dataset (e.g. e0000363).
- 3D Data of the segmented µCT scans:
Full dataset containing the raw segmented µCT scans in the MetaIO format. They can be opened using the SimpleITK package (`pip install SimpleITK`).
Note: the Files can be idenfied by their scan number in the filename, (e.g, e0000363)
 `import SimpleITK as sitk `
 `img = sitk.ReadImage("e0000363_crop_seg.mhd") `
 `array = sitk.GetArrayFromImage(img) ` shape: [z, y, x]
`array_xyz = np.transpose(array, (2, 1, 0))` (Optional) for array axes in [x, y, z]
 `spacing = img.GetSpacing() `         voxel size (x,y,z)

en: lab-experiment snow snow-avalanche snow-mechanics snow-microstructure

envidat

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: EnviDat: the Environmental Data Portal

educ

en: Education, culture and sport

en: Dataset containing both the experimental results and microstructural parameters.

lab-experiment

display_name: lab-experiment

snow-avalanche

display_name: snow-avalanche

snow-microstructure

display_name: snow-microstructure


en:
This dataset contains several useful components for **Swiss Electricity system modeling**:
1. **High-voltage Swiss grid**: 2019 snapshot of the high-voltage (>150kV) grid composed of :
- Nodes: names, voltage, position.
- Lines: ends nodes, resistance, power capacity.
- Transformers: ends nodes, power capacity, resistance, tap ratio.

2. **Hydropower topology** : Representative description of Swiss reservoirs and plants (2019) composed of:
- Plants: Lower reservoir, Upper reservoir, pump/turbine, debit, power capacity.
- Reservoirs: Volume, altitude, position, canton.

3. **Inflows** into all the reservoirs: hourly time series post-processed from PREVAH model outputs from 2009 to 2019.

4. **Wind production per node**: COSMO-1 data processed and scaled to match SFOE annual production.

5. **Solar irradiance maps projected onto tilted surfaces**: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as [Frischholz, Y. (2025)](https://www.doi.org/10.16904/envidat.632))

6. **Processed ERA5 (historical), ECMWF SEAS5 (seasonal forecast) and ECMWF TIGGE (short-term forecast)**:
- ERA5 Land: For inflow forecast model: historical runoff, snow depth, temperature and total precipitation per catchment (hourly, 2009-2019). For residual demand forecast model: historical temperature, u-v wind, ssrd per country (CH, AT, DE, FR, IT, hourly 2015-2019)
- ECMWF SEAS5: For inflow forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019). For residual demand forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019).
- ECMWF TIGGE: For inflow forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019). For residual demand forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019).

\
More details can be found on *README.txt*.

en: electricity-grid forecast-models hydropower meteorological-data renewable-energy reservoir-inflow solar-irradiance

en: Swiss electricity system modeling -- HV grid - hydropower topology and inflows - renewable productions - past and forecast meteorological data

en: Plants and reservoirs description, with associated hourly inflows (2009 - 2019).

en: Solar irradiance maps projected onto tilted surfaces: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as [Frischholz, Y. (2025)](https://www.doi.org/10.16904/envidat.632))

en: Description of Swissgrid high-voltage (>150kV) grid, including lines, transformers and nodes (snapshot of the grid in 2019) .

en: ERA5 Land, Seasonal forecast and short-term forecast meteorological data to train inflow and residual demand forecast models.

en: Data structure and description.

format: TXT

media_type: text/plain

electricity-grid

display_name: electricity-grid

forecast-models

display_name: forecast-models

hydropower

display_name: hydropower

meteorological-data

display_name: meteorological-data

renewable-energy

display_name: renewable-energy

reservoir-inflow

display_name: reservoir-inflow

solar-irradiance

display_name: solar-irradiance


en: Countrywide vegetation height models (VHM) were generated for Armenia based on Copernicus Sentinel-2 imagery within the framework of the FORACCA project. “The Forest Restoration and Climate Change in Armenia” (FORACCA) project is funded by the Swiss Agency for Development and Cooperation (SDC). The project is implemented by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL) in collaboration with Zoï Environment Network as well as the Forest Alliance of Armenia. A Convolutional Neural Network (CNN) model was trained in Switzerland to estimate the maximum vegetation height at the spatial resolution of the Sentinel-2 pixel of 10 m. Vegetation heights from the spatially higher-resolved VHM Lidar NFI were used as reference data for the CNN training. Then, the model was spatially transferred and VHMs for Armenia were generated annually based on available Sentinel-2 imagery from May – September of the respective year. Further details on the dataset and model to create the Sentinel-2 VHMs can be found in the paper Jiang et al. (2023, https://doi.org/10.1016/j.srs.2023.100099). Contains modified Copernicus Sentinel data.

en: armenia cnn foracca forest remote-sensing sentinel-2 vegetation-height

en: Sentinel-2 Vegetation Height Model Armenia

format: TIFF

media_type: image/tiff

armenia

display_name: armenia

cnn

display_name: cnn

foracca

display_name: foracca

forest

display_name: forest

remote-sensing

display_name: remote-sensing

vegetation-height

display_name: vegetation-height


en: These datasets and code support research on the community assemblage of aquatic macroinvertebrates in ephemeral microhabitats, specifically water-filled tree holes (WTH), in three biogeographically and climatically distinct old-growth forests: Temperate-Mediterranean (France), Neotropical (Brazil) and Palaeotropical (India). By integrating standardised biological sampling, detailed environmental measurements and spatial analysis, the dataset allows for an in-depth examination of how local habitat conditions and spatial configuration influence taxonomic and functional beta-diversity patterns. The data capture the variation in species composition and ecological traits in 35 WTH per forest site and are particularly important for understanding how environmental filtering and spatial processes shape beta-diversity in natural forest ecosystems.

en: beta-diversity community-assembly environmental-factors functional-diversity metacommunity spatial-factors taxonomic-diversity water-filled-tree-holes

en: Spatial factors shape taxonomic and functional beta-diversity in water-filled tree holes in different biogeographical regions

en: This Excel file contains metadata that provides detailed information about all other files included here. It describes the ten accompanying datasets, outlining the type of data each contains, the variables used, their descriptions, and the units of measurement (where applicable).

format: XLS

en: This dataset contains trait information used to characterize the macroinvertebrates in our study, for the Brazilian forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.

en: This dataset contains trait information used to characterize the macroinvertebrates in our study, for the French forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.

en: This dataset contains trait information used to characterize the macroinvertebrates in our study, for the Indian forest plot. The dataset includes seven trait groups: aquatic developmental stage, maximum body size, locomotion, dispersal mode, respiration mode, feeding group, and cohort production interval. These trait groups are further divided into 32 distinct categories.

en: This dataset contains values of taxonomic and functional β-diversity for each study site, along with their respective components: species richness difference vs. turnover (taxonomic), and functional richness difference vs. functional turnover (functional). Used to generate Fig. 1.

en: This dataset includes physical and environmental characteristics of water-filled tree holes (WTHs), such as water depth, height, opening size, hole origin and orientation, circumference at breast height, WTH type, and water volume. It also contains physico-chemical parameters, nutrient concentrations (ammonium, nitrogen, phosphate, sulfate, chloride), CDOM, Chlorophyll-A, turbidity, and dry organic matter (FPOM, CPOM, total).

en: This dataset describes the animal community composition sampled from 35 water-filled tree holes (WTHs) per site. It includes abundance and taxonomic identification (to morphospecies level) of aquatic macroinvertebrates and Chordata.

en: This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the Brazilian forest plot.

en: This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the French forest plot.

en: This dataset provides the geographic coordinates (latitude and longitude) of each sampled water-filled tree hole (WTH) for the Indian forest plot.

en: This dataset includes results from variation partitioning analysis used to assess the relative contributions of environmental and spatial factors to taxonomic and functional β-diversity and their components across biogeographic regions. It contains site-level values for pure and shared effects of predictors. Used to generate Fig_2.

en: Code to do the analysis and figures of the paper.

beta-diversity

display_name: beta-diversity

community-assembly

display_name: community-assembly

environmental-factors

display_name: environmental-factors

functional-diversity

display_name: functional-diversity

metacommunity

display_name: metacommunity

spatial-factors

display_name: spatial-factors

taxonomic-diversity

display_name: taxonomic-diversity

water-filled-tree-holes

display_name: water-filled-tree-holes


en: This data supplement contains the data associated with the manuscript: "Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions" (Janzing et al., 2025). It contains the data to create the figures in the paper and consists of model output from **PCRaster Global Water Balance Model (PCR-GLOBWB) 2.0** model over the larger Alpine region at 30 arcsec resolution. As the full model output takes up very high memory space, we here mostly provide time series for the different measurement stations used for evaluation and some additional maps needed to recreate the figures in the manuscript.

en: discharge european-alps hydrological-simulations hydrology large-scale

envidat

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: EnviDat: the Environmental Data Portal

en: Data supplement to Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions

educ

en: Education, culture and sport

discharge

display_name: discharge

european-alps

display_name: european-alps

hydrological-simulations

display_name: hydrological-simulations

hydrology

display_name: hydrology

large-scale

display_name: large-scale


en:
This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946.
The following information is contained (by column and column title):

* year
* total number of hazard fatalities
* number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions.
* number of fatalities by debris flow (German: Murgang).
* number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure).
* number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz).
* number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions.
* number of fatalities by lightning (German: Blitz).
* number of fatalities by ice avalanche (German: Eislawine).
* number of fatalities by earthquake (German: Erdbeben).
* number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See).

The data was collected based on newspaper research. For more information please refer to

_Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016._

The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche.

Restrictions: The data set is not complete. Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road).

Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year [here](https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936) and per calendar year [here](https://www.envidat.ch/dataset/avalanche-fatalities-per-calendar-year-since-1936). For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste).

en: debris-flow-fatalities earthquake-fatalities flood-fatalities ice-avalanche-fatalities landslide-fatalities lightning-fatalities natural-hazard-fatalities rockfall-fatalities windstorm-fatalities

en: Number of natural hazard fatalities per year in Switzerland since 1946

en: Natural hazard fatalities per year in Switzerland since 1946

debris-flow-fatalities

display_name: debris-flow-fatalities

earthquake-fatalities

display_name: earthquake-fatalities

flood-fatalities

display_name: flood-fatalities

ice-avalanche-fatalities

display_name: ice-avalanche-fatalities

landslide-fatalities

display_name: landslide-fatalities

lightning-fatalities

display_name: lightning-fatalities

natural-hazard-fatalities

display_name: natural-hazard-fatalities

rockfall-fatalities

display_name: rockfall-fatalities

windstorm-fatalities

display_name: windstorm-fatalities


en:
The data show locations of the most recent outdoor activity (referred to as restorative location, RL) of Swiss residents, and descriptive characteristics of these places. The data was collected via an online participatory mapping survey targeting residents of urban, peri-urban, and rural areas across Switzerland. Respondents were selected using a stratified random sampling method, considering the greenness and noise exposure of their home locations, and demographic factors such as age, gender, and language region.
The survey was conducted using Maptionnaire software (https://maptionnaire.com). Participants were asked to map the location of their most recent outdoor activity (referred to as restorative location, RL) and provide additional information on their experience in these places. The responses were integrated with the quantitative spatial information (biophysical landscape characteristics, referred to as metrics) on the visited locations, obtained from spatial and remote sensing data.

en: gis-analysis quiet-areas restorative-environments sensory-perception soundscape traffic-noise

en: Restorative locations from participatory mapping by Swiss residents

en: The data contains a shapefile of mapped restorative locations with a comprehensive attribute list including geodata and survey results.

gis-analysis

display_name: gis-analysis

quiet-areas

display_name: quiet-areas

restorative-environments

display_name: restorative-environments

sensory-perception

display_name: sensory-perception

soundscape

display_name: soundscape

traffic-noise

display_name: traffic-noise


en:
This repository contains data related to the field experiment of the WP3 (social impacts) of the ALANeX project. This project is a collaboration between the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and Elektrizitätswerk des Kantons Zürich (EKZ). It has received funding from the WSL programme EXtremes. The overall objective of the ALANeX project was to assess the ecological and social impact of anthropogenic light at night.

We conducted a randomized field experiment to compare the well-being benefits of exposure to streetlights of different correlated colour temperatures (CCT) during a 20-min stay in the centre of Richterswil, Swizerland, to explore:
 - the impact of exposure to streetlamps of different CCT on affect, self-reported stress and cortisol levels
- the differences in impression of artificial light and of the feeling of safety provided by streetlamps based on its CCT.

en: artificial-lighting field-data stress urban-landscape well-being

en: This file includes the information sheet provided to participants before they consented to take part in the study.

en: 01_Information sheet.pdf

format: PDF

media_type: application/pdf

en: This file contains the informed consent document that participants signed to participate in the study.

en: 02_Particiants consent form.pdf

en: This document includes the questionnaire administered at the first measurement time point (before exposure).

en: This document includes the questionnaire administered at the second measurement time point (after exposure).

en: This file contains data for the manuscript "Randomised trial reveals a mismatch between preferences for and hormonal responses to anthropogenic light colour temperatures".

en: 05_Anonymised dataset.xlsx

artificial-lighting

display_name: artificial-lighting

field-data

display_name: field-data

stress

display_name: stress

urban-landscape

display_name: urban-landscape

well-being

display_name: well-being


wasserschloss-europas

en:
*english description below
Die Schweiz als „Wasserschloss Europas“ ist eine etablierte Bezeichnung im öffentlichen Diskurs, die sich im Laufe der Zeit zu einer identitätsstiftenden Metapher entwickelt hat. Die Zeitungsanalyse der letzten 100 Jahre zeigt, wie sich die Verwendung dieser Metapher unter dem Einfluss äusserer Faktoren gewandelt hat. Das Jahr mit den meisten Zeitungsartikeln, in denen die Metapher verwendet wurde, war der Hitzesommer 2003. Weitere Jahre mit häufigem Vorkommen der Metapher fallen mit internationalen Ausstellungen (Expos) zusammen, bei denen sich die Schweiz als „Wasserschloss Europas“ präsentierte oder entsprechende Bezüge herstellte. Dabei diente die Metapher einerseits als Symbol für den Wasserreichtum des Landes, andererseits unterstrich sie die Rolle der Schweiz im Umweltschutz, deren Verantwortung gegenüber den Unterliegern; zudem diente sie der touristischen Vermarktung der Naturlandschaft. Lange Zeit galt der Wasserreichtum in der Schweiz als selbstverständlich, angesichts der rasanten Klimaerwärmung und des damit einhergehenden steigenden Nutzungsdrucks auf die Ressource Wasser und die aquatischen Lebensräume erscheint die Verwendung dieser beschaulichen Metapher als überholt.
Switzerland, as the “Wasserschloss Europas”, is an established term in public discourse that has evolved over time into an identity-shaping metaphor. A newspaper analysis spanning the last 100 years shows how the use of this metaphor has changed in response to external factors. The year with the highest number of newspaper articles employing the metaphor was the heatwave summer of 2003. Other years with high numbers of occurrences coincide with international exhibitions (Expos), where Switzerland presented itself as the “Wasserschloss Europas” or made related references. The metaphor served as a symbol of the country’s abundance of water and, highlighted Switzerland’s role in environmental protection and its responsibility towards downstream countries; it also supported the tourist marketing of its natural landscapes. For a long time, Switzerland’s water wealth was taken for granted. In view of rapid climate warming and the resulting increasing pressure on water resources and aquatic habitats, the use of this idyllic metaphor now seems outdated.

en: metapher wasserressourcen wasserschloss wasserwirtschaft zeitungsartikelanalyse

envidat

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: EnviDat: the Environmental Data Portal

en: Wasserschloss Europas

title_for_slug: wasserschloss-europas

educ

en: Education, culture and sport

en: Sammlung der 226 verwendeten Zeitungsartikel.

en: Kodierungsschema für die Zeitungsartikelanalyse.

metapher

display_name: metapher

wasserressourcen

display_name: wasserressourcen

wasserschloss

display_name: wasserschloss

wasserwirtschaft

display_name: wasserwirtschaft

zeitungsartikelanalyse

display_name: zeitungsartikelanalyse


en:
This repository contains data related to an interdisciplinary study on playgrounds, looking at both playground vegetation and the well-being of pre-school children using those playgrounds. This project was funded by and initiated at the Institute for Landscape Planning and Ecology (ILPÖ) of the University of Stuttgart, Germany. Data was collected by ILPÖ. The project was finalised in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). The aim of the study was to (1) describe playground vegetation (species richness and diversity at the ground, shrub and tree layers; habitat structure); (2) describe preschool children’s well-being and nature-connectedness; and (3) investigate whether there is a relationship between plant diversity and well-being while exploring potential other predictors of well-being, including children’s and parents’ or carer’s nature-connectedness, greenspace exposure, seasonality, and socio-demographic background.
We sampled ground (<1m height), shrub (1-2m height) and tree (>2m hieght) vegetation of 29 playgrounds of Stuttgart's inner city. Sampling took place between May 25 and July 01, 2021. Ground layer vegetation was sampled in ten one-by-one m2 quadrats per playground, within which we recorded the cover of each species based on the Braun-Blanquet scale. Woody vegetation was exhaustively sampled within the playgrounds and in a surrounding two meters buffer, recording each individual plant. Vegetation cover was visually estimated as a percentage for each vegetation layer, namely the ground, shrub and tree (canopy) layers.
In parallel, we distributed questionnaires to parents and carers to assess the well-being and connectedness-to-nature of preschool children (aged 6 or younger) across the seasons. The questionnaire covered children's (1) use of greenspaces, (2) nature-connectedness, (3) well-being, and (4) socio-demographic variables. Questionnaires were distributed accross all seasons: sampling seasons included autumn (Oct-Nov 2021), winter (Jan-Feb 2022), spring (April-May 2022) and summer (June-July 2022). Ethical approval was granted by the University of Stuttgart Commission on Responsibility in Research (Az. 21-033).

en: biodiversity green-spaces seasons urban well-being

en: Playground biodiversity and preschool children well-being

en:
This file contains the playground and plant diversity data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".
The file is separated in five tabs containing:
(1) the overview of the playgrounds,
(2) the overview of all plant species, with their life-history traits and the diversity indexes per layer,
(3) the tree (canoy) layer abundance of each plant species, measured exhaustively in each playground,
(4) the shrub layer abundance of each plant species, measured exhaustively in each playground, and
(5) the ground layer abundance of each plant species, estimated with the Braun-Blanquet scale in 10 quadrats per playground.

en: Plant and playground data.xlsx

en: This file contains the anonymised well-being and nature-connectedness data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".

en: This document includes the English version of the questionnaire administered to carers of pre-school children. This was the original questionnaire, later translated in the 10 most spoken languages in Baden-Württemberg (DE).

en: Spielplatz Fragebogen_Englisch.pdf

en: This document includes the German version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Deutsch.pdf

en: This document includes the French version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Französisch.pdf

en: This document includes the Italian version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Italienisch.pdf

en: This document includes the Polish version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Polnisch.pdf

en: This document includes the Arabic version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Arabisch.pdf

en: This document includes the Romanian version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Rumänisch.pdf

en: This document includes the Russian version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Russisch.pdf

en: This document includes the Spanish of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Spanisch.pdf

en: This document includes the Turkish version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Türkisch.pdf

en: This document includes the Ukrainian version of the questionnaire administered to carers of pre-school children.

en: Spielplatz Fragebogen_Ukrainian.pdf

biodiversity

display_name: biodiversity

green-spaces

display_name: green-spaces


en:
The SwissRad10 dataset contains light availability maps at 10 m and hourly resolution across an entire annual cycle with wall-to-wall coverage across the whole of Switzerland.
Areas below and within 25 m of forests include light availability calculated for both leaf-on and leaf-off canopy structure, and terrain only data is available across the full domain.
The variables sky-view factor and direct-beam transmissivity are both included, allowing estimation of both direct and diffuse light at the ground surface.
The dataset was calculated using the detailed synthetic hemispheric image-based ray-tracing Canopy Radiation Model (CanRad) with the latest airborne lidar and terrain surface data from the swissSURFACE3D dataset.

en: forests lidar light-availability radiation-transfer shortwave-radiation sky-view-fraction solar-energy solar-irradiance terrain transmissivity

envidat

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: EnviDat: the Environmental Data Portal

en: SwissRad10 Hourly light availability maps at 10 m resolution over Switzerland

educ

en: Education, culture and sport

en: Data Download

forests

display_name: forests

lidar

display_name: lidar

light-availability

display_name: light-availability

radiation-transfer

display_name: radiation-transfer

shortwave-radiation

display_name: shortwave-radiation

sky-view-fraction

display_name: sky-view-fraction

solar-energy

display_name: solar-energy

solar-irradiance

display_name: solar-irradiance

terrain

display_name: terrain

transmissivity

display_name: transmissivity


restwasser-datenbank

en:
(in English below)
Der erweiterte Ausbau der Wasserkraftproduktion steht im Spannungsfeld mit der Sicherstellung ökologischer Funktionen von Fliessgewässern. Die neu entwickelte Restwasser-Datenbank bietet eine öffentlich zugängliche Grundlage zu den Restwasserbestimmungen der Schweizer Wasserkraftanlagen (WKA). Sie umfasst 252 WKA mit einer installierten Leistung von mindestens 3 MW, darunter 160 Laufwasserkraftwerke, 75 Speicherkraftwerke, 16 Pumpspeicherkraftwerke und ein Umwälzkraftwerk. Die erwartete jährliche Stromproduktion dieser Anlagen (ohne Umwälzbetrieb) beträgt 31’540 GWh, was rund 76 % der gesamten schweizerischen Wasserkraftproduktion entspricht. Die Datenbank umfasst rechtliche, hydrologische und technische Attribute und erlaubt dank ihrer kraftwerksspezifischen Struktur eine einfache Verknüpfung mit der schweizerischen Wasserkraftstatistik (WASTA). Dadurch wird die effiziente Bearbeitung hydro-energetischer Fragestellungen ermöglicht.
Eine öffentlich zugängliche Datengrundlage ist insbesondere vor dem Hintergrund des Klimawandels relevant, da dieser die hydrologischen Verhältnisse verändert und Nutzungskonflikte um Wasserressourcen verschärft. Gleichzeitig steigt der Druck auf aquatische Lebensräume, unter anderem infolge steigender Wassertemperaturen. Die Restwasser-Thematik betrifft nicht nur das Spannungsfeld zwischen Energieproduktion und Gewässerökologie, sondern auch Aspekte der Wasserqualität sowie weitere Nutzungen wie Trinkwasserversorgung, landwirtschaftliche Bewässerung, Kühlung und den Betrieb von Abwasserreinigungsanlagen (ARAs). Für eine nachhaltige Wasserwirtschaft ist die Etablierung öffentlicher und belastbarer Datengrundlagen unerlässlich, da sie eine Quantifizierung und Abwägung divergierender Interessen ermöglicht. Nur auf dieser Basis lässt sich die bislang emotional geführte Debatte versachlichen und können Entscheidungsprozesse evidenzbasiert unterstützt werden, die eine zukunftsfähige und nachhaltige Wasserwirtschaft fördern.
The planned expansion of hydropower in Switzerland conflicts with the need to preserve the ecological functions of rivers. To support informed decision-making, a publicly accessible database on environmental flows has been developed. It documents the environmental flow requirements for 252 hydropower plants with an installed capacity of ≥ 3 MW, including 160 run-of-river plants, 75 storage plants, 16 pumped-storage plants, and one closed-loop pumped-storage plant. Together, these plants have an expected annual electricity production of 31’540 GWh—around 76% of Switzerland’s total hydropower generation.
The database contains legal, hydrological, and technical attributes and can be easily linked to the national hydropower statistics (WASTA), enabling efficient analysis of hydroelectric issues. In the context of climate change, such an open database is crucial, as shifting hydrological conditions intensify competing water uses and increase pressure on aquatic ecosystems. Environmental flow requirements involve not only the trade-off between energy production and river ecology but also water quality and other uses such as drinking water supply, irrigation, cooling, and wastewater treatment. Robust, publicly available data are essential for quantifying and balancing these competing interests and for supporting evidence-based decisions in sustainable water resources management.

en: dotierwasser konzessionen restwasser wasserkraft wasserwirtschaft

en: Restwasser-Datenbank

title_for_slug: restwasser-datenbank

en: Restwasser-Datenbank mit rechtlichen, hydrologischen und technischen Attributen

en: Hydrologische Abflusszeitreihen von 1991-2020 für Anwendungen mit der Restwasser-Datenbank

en: Hydrologische Abflusszeitreihen - Restwasser-Datenbank 2025.xlsx

en: Shapefile mit Restwasserstrecken - ein Produkt das in der Erarbeitung der Restwasser-Datenbank mitentstanden ist.

en: Restwasserstrecken - Restwasser-Datenbank 2025.zip

en: Einzugsgebiete - Restwasser-Datenbank 2025.zip

dotierwasser

display_name: dotierwasser

konzessionen

display_name: konzessionen

restwasser

display_name: restwasser

wasserkraft

display_name: wasserkraft


en:
Raw data of paper: A recent ash dieback infection neither affects emerald ash borer
performance nor triggers a substantial systemic phytochemical
defense response in European ash (https://doi.org/10.1007/s10340-025-01981-4)
Raw data on emerald ash borer (EAB) weight gain, mortality, development and longevity. Raw data of ash phloem and leaf chemistry. Raw data of ash dieback (ADB) lesion length.

en: agrilus-palnipennis ash-dieback fraxinus-excelsior metabolomics pest-invasion

en: Raw data-A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash

en: Open access raw data Eisenring et al 2025.xlsx

agrilus-palnipennis

display_name: agrilus-palnipennis

ash-dieback

display_name: ash-dieback

fraxinus-excelsior

display_name: fraxinus-excelsior

metabolomics

display_name: metabolomics

pest-invasion

display_name: pest-invasion


functional-invertebrate-groups-dataset

en: Collected Invertebrate data using pitfall traps at streetlights with different characteristics at three different sites in Switzerland (Birmensdorf, Lägern & Alpthal). LED characteristics are LED color temperature, light level and luminaire shape (K, L_level, Diff). Additionally, we had two pitfall trap positions: Center (C; 100% light intensity)) and Periphery (P; 10% light intensity). The traps were emptied weekly over a period of two summers (2021 & 2022). The samples were sorted into 40 different taxonomic invertebrate groups. We included weeks where we turned of the light for a different experiement, these weeks were excluded from this dataset.

en: alan artificial-lighting community-composition functional-groups invertebrates led light-pollution

envidat

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: EnviDat: the Environmental Data Portal

en: Functional Invertebrate Groups - Dataset

title_for_slug: functional-invertebrate-groups-dataset

en: Raw data of invertebrate sampling at different streetlight characteristics (light temperature (K), light level (L_level), luminaire shape (Diff)) over two summers (2021 & 2022). Included are two pitfall trap positions (Center C (100% light intensity) and Periphery P (10% light intensity).

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

community-composition

display_name: community-composition

functional-groups

display_name: functional-groups

invertebrates

display_name: invertebrates

led

display_name: led

light-pollution

display_name: light-pollution


de: Restaurants, Cafés und Bars in der Stadt Zug mit entsprechender Betriebsbewilligung im Jahr 2024

de: gastro gastgewerbe

stadt-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der Zuger Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Stadt Zug

political_level: commune

de: Sicherheit und Verkehr Stadt Zug

de: Gastrobetriebe Stadt Zug 2024

value: DCAT Harvester Stadt Zug

just

de: Justiz, Rechtssystem und öffentliche Sicherheit

en: Justice, legal system and public safety

fr: Justice, système juridique et sécurité publique

it: Giustizia, sistema giuridico e sicurezza pubblica

de: Gastrobetriebe Stadt Zug

format: JSON

media_type: application/json

gastgewerbe

display_name: gastgewerbe

gastro

display_name: gastro


en:
Plant ecophysiological and associated environmental data for two tree species (*Fagus sylvatica* and *Quercus pubescens*) grown for five years in a factorial open-top climate chamber experiment (Model Ecosystem Facility, Birmensdorf, Switzerland) to test the long-term effects of heat (+5 °C) and soil drought (irrigation reduced by 50%). n = 4 trees per species and treatment, n = 48 trees total.
 Included data sheets:
- Environmental_Data.csv: Chamber-level environmental recorded every 10 minutes
- Tleaf.csv: Leaf temperatures recorded every 10 minutes
- Gas_exchange.csv: Leaf-level gas exchange data taken diurnally on four days during the growing season
- Leaf_traits.csv: Leaf functional traits
- TSMs_HSMs.csv: Photosynthetic thermal tolerance and leaf water potential data, summarized also in terms of leaf thermal safety margins and hydraulic safety margins, collected 3-4 times during the growing season
- Scorch.csv: Leaf-level leaf scorching data, including leaf thermal safety margins and scorching occurrence and presence, summarized by date

en: fagus-sylvatica functional-traits gas-exchange hot-drought hydraulic-safety-margins leaf-scorching quercus-pubescens thermal-safety-margins thermoregulation

en: Hydraulic stress limits thermal acclimation in trees under chronic drought

educ

en: Education, culture and sport

en: README file with more information about the dataset.

en:
Chamber-level abiotic data recorded every 10 minutes.
Variable List:
	- Time (MM/DD/YYYY HH:MM)
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Tair: Air temperature (degrees C)
	- Tair_sd: Standard deviation of air temperature
	- RH: Relative humidity
	- RH_sd: Standard deviation of relative humidity
	- VPD: Vapor pressure deficit (kPa)
	- Tsoil: Soil temperature (degrees C)
	- Soil_m: Volumetric soil water content (m^3/m^3)
	- PPFD: Photosynthetic photon flux density (micromoles m^-2 s^-1) *collected from a weather station next to the open-top-chambers (50% intensity inside chambers)
	- windspeed: (m/s) *collected from a weather station next to the open-top-chambers

en:
Tree-level leaf scorching occurrence and severity data summarized by date with daily leaf thermal safety margins.
Variable List:
	- TreeID: Unique identifier for individual trees
	- Date (MM/DD/YYYY)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Species: Tree species
	- Tleaf: Leaf temperature (degrees C) *measured by an infrared sensor integrated into the Cavicam
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C) *daily entries inherit the Tcrit measured onthe next measurement date and applied to the interval preceding it (or are forward-filled when Tcrit could not be estimated in August or September)
	- TSM: Leaf thermal safety margin (difference between Tcrit and Tleaf, in degrees C)
	- Scorch_binary: Binary indicating whether scorching occurred on that date (0 = no, 1 = yes)
	- Percent_affected: Percent of the camera window affected by scorching during a scorching event

en:
Tree-level photosynthetic thermal tolerance, leaf water potentials, thermal safety margins, and hydraulic safety margins measured 3-4 times per tree during the growing season.
Variable List:
	- TreeID: Unique identifier for individual trees
 	- Species: Tree species
	- Campaign: Month of the growing season in which data was collected
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Waterpotential: midday leaf waterpotential (MPa)
	- WPtlp: Waterpotential at leaf turgor-loss-point (MPa) *Measured by Mas, E., Cochard, H., Deluigi, J., Didion-Gency, M., Martin-StPaul, N., Morcillo, L., Valladares, F., Vilagrosa, A., & Grossiord, C. (2024). Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure. New Phytologist, 241(3), 1021-1034. https://doi.org/https://doi.org/10.1111/nph.19358
	- HSM: Hydraulic safety margin (difference between WPtlp and Waterpotential, in MPa)
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C)
	- T50: High leaf temperature at which Photosystem II function declines by 50% (degrees C)
	- Tleaf.max: Maximum leaf temperature during the week preceding thermal tolerance measurement
	- TSM.min: Minimum leaf thermal safety margin during the week preceeding thermal tolerance measurement (difference between Tcrit and Tleaf.max, in degrees C)

en:
Tree-level leaf functional trait data.
Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Leaf_width (cm)
	- Leaf_area (cm^2)
	- Stomatal_density (count per cm^2)
	- Pore_length: Stomatal pore length (micrometers)
	- Guard_cell_width: Stomatal guard cell width (micrometers)
	- Leaf_thickness (mm)
	- Epidermal_thickness (mm)
	- Parenchyma_thickness (mm)
	- Parenchyma:Epidermis: Ratio between parenchyma and epidermal thickness
	- Reflectance: Reflectance of photosynthetically active radiation (400-700), fraction
	- Transmittance: Transmittance of photosynthetically active radiation (400-700), fraction
	- Absorptance: Absorptance of photosynthetically active radiation (400-700), fraction
	- Absorbance: Optical absorbance of photosynthetically active radiation (400-700 nm), unitless
	- g1: Medlyn-style stomatal slope calculated with Licor LI6800 data

en:
Leaf-level gas exchange collected diurnally for each tree on 4 days of the growing season and summarized to growing-season mean.
Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- E.mean: Mean transpiration rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lnE.mean: Mean of the natural log of the transpiration rate
	- lnE.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lnE.mean and Tdiff.mean

en:
Tree-level leaf temperature data recorded every 10 minutes.
Variable List:
	- Timestamp (MM/DD/YYYY HH:MM)
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Tair: Air temperature (degrees C)
	- Tleaf: Leaf temperature (degrees C)
	- Tdiff: Leaf-to-air temperature differential (degrees C)

fagus-sylvatica

display_name: fagus-sylvatica

functional-traits

display_name: functional-traits

gas-exchange

display_name: gas-exchange

hot-drought

display_name: hot-drought

hydraulic-safety-margins

display_name: hydraulic-safety-margins

leaf-scorching

display_name: leaf-scorching

quercus-pubescens

display_name: quercus-pubescens

thermal-safety-margins

display_name: thermal-safety-margins

thermoregulation

display_name: thermoregulation


lufttemperaturen-stadt-zug

de:
Lufttemperaturwerte aus allen Zuger Quartieren im Viertelstundentakt (Sensordaten). Verfügbar per Zugriff auf die Schnittstelle (API).

Die rund 300 Temperatursensoren übermitteln über das LoRaWAN-Netz der WWZ AG kontinuierlich Messdaten zur Lufttemperatur- und Feuchtigkeit auf dem Zuger Gemeindegebiet.

Dieses Thermal-Mapping liefert der Stadt wichtige Erkenntnisse über Hitzeinseln im Stadtraum.
Die gewonnenen Erkenntnisse schaffen eine fundierte Grundlage für gezielte Klimaanpassungsmassnahmen: sei es bei der Standortwahl von Bäumen, der Planung neuer Grünräume oder der klimagerechten Entwicklung von Bauprojekten.

Weitere Informationenen siehe interaktive Visualisierung unter "Landing-Page".

de: klimaanpassung hitzetage tropennachte

de: Umwelt und Energie Stadt Zug

de: Lufttemperaturen Stadt Zug

title_for_slug: lufttemperaturen-stadt-zug

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de: API Sensordaten Lufttemperatur

format: API

hitzetage

display_name: hitzetage

klimaanpassung

display_name: klimaanpassung

tropennachte

display_name: tropennachte


de: Firmen in Besitz einer Bewilligung für den Verkauf von alkoholischen Getränken mit oder aus gebrannten Wassern in der Stadt Zug im Jahr 2024.

de: alkoholverkauf bewilligung

de: Bewilligung für den Kleinhandel von gebrannten Wassern 2024

alkoholverkauf

display_name: alkoholverkauf

bewilligung

display_name: bewilligung


sitzverteilung-im-grossen-gemeinderat

de:
Sitze nach Partei im Grossen Gemeinderat der Stadt Zug, 1963 bis 2023.

Anmerkungen:
- Rupan Sivaganesan wechselte 2013 von der AL zur SP.
- Willi Vollenweider trat 2016 aus der SVP aus.
- Seit dem 1. Juni 2021 heisst die CVP neu «Die Mitte».

FDP - Freisinnig-Demokratische Partei/ FDP.Die Liberalen
CC/CVP/Die Mitte - Conservativ-christlichsoziale Volkspartei/Christlichedemokratische Volkspartei/Die Mitte
SP - Sozialdemokratische Partei
SGA/Pl/AL - Sozialistisch-Grüne Alternative/Parteilose/Alternative-die Grünen
SVP - Schweizerische Volkspartei
CSV/CSP - Christlichsoziale Vereinigung/Christlichsoziale Partei
BL - Bunte Liste
LdU - Landesring der Unabhängigen
FW - Freie Wähler
SAP - Sozialistische Arbeiterpartei
NA - Nationale Aktion
GLP - Grünliberale Partei

de: politik sitze parteien gemeinderat ggr

de: Stadtkanzlei Stadt Zug

de: Sitzverteilung im Grossen Gemeinderat

title_for_slug: sitzverteilung-im-grossen-gemeinderat

de: Sitze nach Partei im Grossen Gemeinderat seit 1963

gemeinderat

display_name: gemeinderat

ggr

display_name: ggr

parteien

display_name: parteien

politik

display_name: politik

sitze

display_name: sitze


bibliotheksstatistik-stadtbibliothek

de:
Die Bibliotheksstatistik liefert aktuelle Informationen über die Struktur, die Funktionsweise und die Entwicklung der Bibliotheken schweizweit.
Der hier angebotene Datensatz enthält daraus die Informationen der Bibliothek Zug (Stadt- und Kantonsbibliothek), 2020 bis 2023.

>> Ergänzung zu V18 "Andere elektronische Medien":
Eigendigitalisate und Born digital (inkl. digitale Doku-Dossiers), lokal gespeichert und im Katalog erschlossen (Zählung nach erschlossenen Einheiten wie Sammlungen, Dossiers etc.)»

Quelle: Schweizerische Bibliotheksstatistik (BFS)

de: bibliotheksstatistik bibliothek

stadt-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der Zuger Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Stadt Zug

de: Bibliothek Zug

de: Bibliotheksstatistik Stadtbibliothek

title_for_slug: bibliotheksstatistik-stadtbibliothek

educ

de: Bildung, Kultur und Sport

de: Bibliotheksstatistik ab 2020

bibliothek

display_name: bibliothek

bibliotheksstatistik

display_name: bibliotheksstatistik


de:
Die Daten entstemmen der Web-Applikation «CO2mpass®». Diese wird von der Stadt Zug zur Steuerung und Kontrolle des Absenkpfades von städtischen Liegenschaften genutzt.

Die Software verknüpft Gebäudedaten von 100 Liegenschaften mit den Daten aus dem Gebäude- und Wohnungsregister, diverser GIS-Daten zu Erd- und Fernwärmenutzungen oder Solarkatastern. Sie ermöglicht die Kontrolle und Prognosen unterschiedlicher Szenarien zum CO2-Absenkpfad und der Sanierungs- bzw. der Investitionsplanung.

Für einzelne Liegenschaften oder Gruppen werden Kennzahlen wie die Gesamtenergie, die CO2-Emissionen oder die Effizienzklasse der Gebäudehülle nach der Norm SIA 380 berechnet.

Die Kennzahlen können nach Energieträger und nach Verwendungszweck aufgeschlüsselt werden, um beispielsweise die relevantesten Verursacher für den CO2-Ausstoss zu ermitteln.

de: nachhaltigkeit energie emissionen

de: Umwelt und Energie Stadt Zug

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

emissionen

display_name: emissionen

energie

display_name: energie

nachhaltigkeit

display_name: nachhaltigkeit


bestattungswesen-stadt-zug

de: Bestattungen und Beratungsgespräche des Bestattungsamts der Stadt Zug, 2022 bis 2023.

de: Zivilstandsamt Stadt Zug

de: Bestattungswesen Stadt Zug

title_for_slug: bestattungswesen-stadt-zug

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

de: Zahlen zum Bestattungswesen in der Stadt Zug seit 2022

de: Bestattungswesen seit 2022

bestattungen

display_name: bestattungen


de:
Zivilstandsergeignisse aus dem Zivilstandskreis Zug 2022 bis 2023.

Das Zivilstandsamt Kreis Zug umfasst die Gemeinden Zug, Steinhausen, Walchwil, Oberägeri und Unterägeri.

Anmerkungen:
- Die Schliessung gleichgeschlechtlicher Ehen ist seit 01.07.2022 möglich
- Umwandlungserklärungen eingetragener Partnerschaften sind seid 01.07.2022 möglich
- Vorverfahren eingetragener Partnerschaften waren bis 30.06.2022 möglich
- Eingetragene Partnerschaften waren bis 30.06.2022 möglich
- Geschlechtsänderungen sind seit 01.01.2022 möglich

de: geburten eheschliessung

de: Zivilstandsereignisse im Zivilstandskreis Zug seit 2022

de: Zivilstandsereignisse seit 2022

eheschliessung

display_name: eheschliessung

geburten

display_name: geburten


de:
Anzahl Schülerinnen und Schüler an der Zuger Musikschule, 2012 bis 2023, aufgeteilt nach Altersklasse:

- 20 Jahre und älter
- unter 20 Jahre

stadt-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der Zuger Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Stadt Zug

de: Musikschule Zug

de: Schülerinnen und Schüler an Musikschule Zug

de: Anzahl Schülerinnen und Schüler

musik

display_name: musik


kosten-fur-langzeitpflege

de:
Kosten für die Langzeitpflege, 2013 bis 2024.

 In der Schweiz tragen die Gemeinden die Pflegerestkosten, also den Teil der Pflegekosten in stationären oder ambulanten Einrichtungen, der nach Abzug der Beiträge der Krankenkasse und der Eigenleistungen übrig bleibt. In der ambulanten Langzeitpflege umfassen die Pflegerestkosten der Stadt Zug pflegerische Leistungen, die zu Hause durch Pflegedienste erbracht werden. In der stationären Langzeitpflege entstehen Pflegerestkosten für die umfassende pflegerische Versorgung rund um die Uhr in einer Institution. Beide Formen beinhalten Pflegerestkosten, die je nach Pflegegrad und individuellen Bedürfnissen variieren.

de: Soziale Dienste Stadt Zug

de: Kosten für Langzeitpflege

title_for_slug: kosten-fur-langzeitpflege

de: Kosten für die Langzeitpflege

langzeitpflege

display_name: langzeitpflege


de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Elemente, die eine Fahrplandarstellung und -auskunft ermöglichen.

Hinweis: Die Aktivierung der Anpassungen gemäss den neuen Realisierungsvorgaben RV 2.0.6 und 2.07 ist geplant für den 29. Oktober 2024. Details siehe "Weitere Informationen".
Update 2024-10-25: Die Aktivierung wurde auf einen noch zu bestimmenden Zeitpunkt verschoben.

Daten 2023 und älter sind in unserem Datenarchiv zu finden: https://archive.opentransportdata.swiss

en:
The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the HAFAS raw data format (HRDF).

Note: The activation of the adjustments in accordance with the new realisation specifications RV 2.0.6 and 2.0.7 is planned for 29 October 2024. For details see "Further information".
Update 2024-10-25: Activation has been postponed to a date yet to be determined.

Data 2023 and older can be found in our data archive: https://archive.opentransportdata.swiss

fr:
L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est fourni au format de données brutes HAFAS (HRDF).

Remarque : L’activation des adaptations selon les nouvelles directives de réalisation RV 2.0.6 et 2.07 est prévue pour le 29 octobre 2024. Pour plus de détails, voir "Autres informations".
Mise à jour 2024-10-25 : l'activation a été reportée à une date à déterminer.

Les données 2023 et antérieures se trouvent dans nos archives de données : https://archive.opentransportdata.swiss

it:
L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il formato Raw HAFAS (HRDF).

Nota: L’attivazione degli adeguamenti secondo le nuove specifiche di implementazione RV 2.0.6 e 2.07 è prevista per il 29 ottobre 2024. Per i dettagli, vedere "Ulteriori informazioni".
Mise à jour 2024-10-25 : l'activation a été reportée à une date à déterminer.

I dati del 2023 e precedenti sono disponibili nel nostro archivio dati: https://archive.opentransportdata.swiss

en: hrdf data stop mode-of-transportation business-organisation timetable journey bus train cableways passenger mobility-service-provider

de: hrdf embag daten haltestelle verkehrsmittel linie geschaftsorganisation fahrplan fahrt zug bus seilbahn passagier mobilitatsdienstleister

fr: hrdf lmeta donnees halte moyen-de-transport ligne organisation-commerciale horaire voyage train autobus telepheriques passager prestataire-de-mobilite

it: hrdf lmeca dati fermata mezzo-di-trasporto linea organizzazione-aziendale orario viaggio treno autobus funivie passaggero fornitore-di-servizi-di-mobilita

oevch

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

de: Fahrplan (INFO+)

fr: Horaire (INFO+)

it: Orario (INFO+)

en: Timetable (INFO+)

de: HAFAS-Rohdaten-Format

en: HAFAS-Rohdaten-Format

fr: HAFAS-Rohdaten-Format

it: HAFAS-Rohdaten-Format

spatial: Schweiz

de: Fahrplan 2024 (HRDF) Format 5.4

en: Timetable 2024 (HRDF) Format 5.4

fr: Horaire 2024 (HRDF) Format 5.4

it: Orario 2024 (HRDF) Format 5.4

value: Opentransportdata - DCAT Harvester

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


points-of-interest-in-der-stadt-zug

de:
Dieser POI-Datensatz stammt aus der Mobile App "Citybot", die im Auftrag der Stadt Zug erstellt wurde.

Der Datensatz umfasst folgende Kategorien und ist zweisprachig gehalten (DE/EN):
- Aktivitäten
- Bars
- Cafés
- Kunst
- Natur
- Restaurants
- Sehenswürdigkeit
- Shopping
- Sport

(Beachte: die enthaltenen Fotos sind teilweise mit einem Copyright versehen)

de: sehenswurdigkeiten restaurants cafes bars stadtrundgang

stadt-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der Zuger Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Stadtentwicklung Stadt Zug

de: Points of Interest in der Stadt Zug

title_for_slug: points-of-interest-in-der-stadt-zug

de: Points of Interest Stadt Zug

format: GeoJSON

media_type: application/geo+json

format: GPKG

bars

display_name: bars

cafes

display_name: cafes

restaurants

display_name: restaurants

sehenswurdigkeiten

display_name: sehenswurdigkeiten

stadtrundgang

display_name: stadtrundgang


lehrpersonen-an-musikschule-zug

de: Anzahl Lehrpersonen und Vollzeitäquivalente an der Zuger Musikschule, 2012 bis 2023.

stadt-zug

de: Stadt Zug

de: Musikschule Zug

de: Lehrpersonen an Musikschule Zug

title_for_slug: lehrpersonen-an-musikschule-zug

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Anzahl Lehrpersonen


anmeldegrunde-schulsozialarbeit

de: Die Grafik zeigt die Anmeldegründe bei der Schulsozialarbeit in der Stadt Zug nach Themen und in der Anzahl Klientinnen und Klienten, 2017 bis 2024. Zum Beratungsspektrum der Schulsozialarbeit gehören psychische Gesundheit, Trennung/Scheidung, Selbstwert/Selbstvertrauen aber auch allgemeine Konflikte in der Schule.

de: Soziale Dienste Stadt Zug

de: Anmeldegründe Schulsozialarbeit

title_for_slug: anmeldegrunde-schulsozialarbeit

soci

de: Bevölkerung und Gesellschaft

schulsozialarbeit

display_name: schulsozialarbeit


quartiertreff-riedmatt

de:
Zahlen zur Nutzung des Quartiertreffs Riedmatt, 2022 bis 2023.
- Nutzung
- Teilnehmende
- geleistete Freiwilligenarbeit

de: Kind Jugend Familie Stadt Zug

de: Quartiertreff Riedmatt

title_for_slug: quartiertreff-riedmatt

de: geleistete Freiwilligenarbeit im Quartiertreff Riedmatt in Stunden

de: Quartiertreff Riedmatt geleistete Freiwilligenarbeit

de: Teilnehmende an Veranstaltungen im Quartiertreff Riedmatt

de: Quartiertreff Riedmatt Teilnehmende

de: Nutzungsstatistik des Quartiertreffs Riedmatt

de: Quartiertreff Riedmatt Nutzung

quartiertreff

display_name: quartiertreff


ein-und-aussteigende

de: Anzahl Einsteigende und Aussteigende an den Bahnhöfen und Haltestellen.

en: Passengers boarding and alighting at stations and stops.

fr: Personnes montant et descendant des trains dans les gares et les haltes.

it: Persone che salgono e scendono dal treno nelle stazioni e fermate.

en: proprietary data boarding-and-alighting passanger-frequency boarding alighting passenger-frequency without-transport-service analyst

de: proprietar embag daten ein--und-ausstieg passagierfrequenz einsteigende aussteigende ohne-beforderungsleistung analyst

fr: proprietaire lmeta donnees entree-et-sortie affluence-des-voyageurs entrants sortants sans-prestation-de-transport analyste

it: proprietario lmeca dati entrata-e-uscita frequenza-dei-viaggiatori imbarco sbarco senza-servizio-di-transporto analista

oevch

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

de: Schweizerische Bundesbahnen (SBB)

en: Swiss Federal Railways (SBB)

fr: Chemins de fer fédéraux suisses (CFF)

it: Ferrovie Federali Svizzere (FFS)

de: Cookbook (Documentation)

en: Cookbook (Documentation)

fr: Cookbook (Documentation)

it: Cookbook (Documentation)

de: Anzahl Einsteigende und Aussteigende

en: Number of passengers boarding and alighting

fr: Nombre d'entrants et de sortants

it: Numero di passeggeri che salgono e scendono

title_for_slug: ein-und-aussteigende

tran

de: Verkehr

de: Ein- und Aussteigende an den Bahnhöfen und Haltestellen

en: Entrants and dropouts at the stations and stops

fr: Entrants et décrocheurs aux gares et arrêts

it: Partecipanti e abbandoni nelle stazioni e fermate

affluence-des-voyageurs

display_name: affluence-des-voyageurs

alighting

display_name: alighting

analista

display_name: analista

analyst

display_name: analyst

analyste

display_name: analyste

aussteigende

display_name: aussteigende

boarding

display_name: boarding

boarding-and-alighting

display_name: boarding-and-alighting

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

ein--und-ausstieg

display_name: ein--und-ausstieg

einsteigende

display_name: einsteigende

embag

display_name: embag

entrants

display_name: entrants

entrata-e-uscita

display_name: entrata-e-uscita

entree-et-sortie

display_name: entree-et-sortie

frequenza-dei-viaggiatori

display_name: frequenza-dei-viaggiatori

imbarco

display_name: imbarco

lmeca

display_name: lmeca

lmeta

display_name: lmeta

ohne-beforderungsleistung

display_name: ohne-beforderungsleistung

passagierfrequenz

display_name: passagierfrequenz

passanger-frequency

display_name: passanger-frequency

passenger-frequency

display_name: passenger-frequency

proprietaire

display_name: proprietaire

proprietar

display_name: proprietar

proprietario

display_name: proprietario

proprietary

display_name: proprietary

sans-prestation-de-transport

display_name: sans-prestation-de-transport


attribute-ereignisinformation

de: Die Liste der Attribute für die Ereignisinformation bezieht sich auf das Kapitel 10 Kommunikation im Ereignisfall des nationalen Branchenstandard Kundeninformation (aktuell nur in Französisch und Deutsch verfügbar). Fachliche Details können direkt dort entnommen werden.

en: The list of attributes for the event information refers to chapter 10 communication in the event of an incident of the national industry standard customer information (currently only available in French and German). Technical details can be taken directly from there.

fr: La liste des attributs pour l'information sur les événements se réfère au chapitre 10 communication en cas d'événement de la norme sectorielle nationale information à la clientèle (actuellement disponible uniquement en français et en allemand). Les détails techniques peuvent y être directement prélevés.

it: L'elenco degli attributi per le informazioni sull'evento fa riferimento al capitolo 10 comunicazione in caso di incidente dello standard nazionale di settore informazioni per i clienti (attualmente disponibile solo in francese e tedesco). I dettagli tecnici possono essere presi direttamente da lì.

en: vdv-736 vdv-431 v580 siri-sx data forecast delay punctuality incident-management line journey incident disruption train bus passenger

de: vdv-736 vdv-431 v580 siri-sx embag daten prognose verspatung puktlichkeit ereignismanagement linie fahrt ereignis storung zug bus passagier

fr: vdv-736 vdv-431 v580 siri-sx lmeta donnees pronostic retard ponctualite management-des-evenements ligne voyage evenement perturbation train autobus passager

it: vdv-736 vdv-431 v580 siri-sx lmeca dati previsione ritardo puntualita gestione-degli-eventi linea viaggio-evento interruzione-treno autobus passaggero

de: Ereignismanagement System – EMS SKI

en: Event Management System - EMS SKI

fr: Système de gestion des événements – EMS SKI

it: Gestione degli avvenimenti: EMS SKI

de: Cookbook - SIRI SX

en: Cookbook - SIRI SX

fr: Cookbook - SIRI SX

it: Cookbook - SIRI SX

de: Cookbook - Geschäftsorganisationen mit SIRI-SX

de: Branchenstandard Kundeninformation (abgeleitet aus ehem. V580 - FIScommun)

de: Attribute Ereignisinformation

en: Attributes event information

fr: Attributs Informations sur l'événement

it: Attributi Informazioni sull'evento

title_for_slug: attribute-ereignisinformation

de: Die Liste der Attribute für die Ereignisinformation bezieht sich auf das Produkt 10 Kommunikation im Ereignisfall der Vorschrift 580 – FIScommun (leider nur in Französisch und Deutsch verfügbar). Fachliche Details können direkt dort entnommen werden.

en: The list of attributes for the event information refers to the product 10 Communication in case of event of the regulation 580 - FIScommun (unfortunately only available in French and German). Technical details can be taken directly from there.

fr: La liste des attributs pour l'information sur les événements se réfère au produit 10 Communication en cas d'événement de la prescription 580 - FIScommun (malheureusement uniquement disponible en français et en allemand). Les détails techniques peuvent y être directement prélevés.

it: L'elenco degli attributi per le informazioni sull'evento si riferisce al prodotto 10 Comunicazione in caso di evento della normativa 580 - FIScommun (purtroppo disponibile solo in francese e tedesco). I dettagli tecnici possono essere presi direttamente da lì.

identifier: ereignisinformationen

autobus

display_name: autobus

bus

display_name: bus

data

display_name: data

daten

display_name: daten

dati

display_name: dati

delay

display_name: delay

disruption

display_name: disruption

donnees

display_name: donnees

embag

display_name: embag

ereignis

display_name: ereignis

ereignismanagement

display_name: ereignismanagement

evenement

display_name: evenement

fahrt

display_name: fahrt

forecast

display_name: forecast

gestione-degli-eventi

display_name: gestione-degli-eventi

incident

display_name: incident

incident-management

display_name: incident-management

interruzione-treno

display_name: interruzione-treno

journey

display_name: journey

ligne

display_name: ligne

line

display_name: line

linea

display_name: linea

linie

display_name: linie

management-des-evenements

display_name: management-des-evenements

passager

display_name: passager


formationsdaten

de:
Daten zu den Zug-Formationen. Bereitgestellt auf drei Arten: Fahrzeugbasiert, Haltestellenbasiert, oder beides. Die Daten beschränken sich auf die Eisenbahnverkehrsunternehmen (EVU) die ihre Formationen über die Schweizerischen Bundesbahnen (SBB) bereitstellen und der Veröffentlichung ihrer Daten als Open Data zugestimmt haben.

Die Endpunkte sind: - /formations_stop_based - /formations_vehicle_based - /formations_full.
- /formations_stop_based: mit Fokus auf die Gesamt-Komposition an jeder Halte
- /formations_vehicle_based: mit Fokus auf die Kompositions-Teile (Wagen)
- /formations_full: die Kombination aus den anderen beiden Enspunkten

Für den Zugriff muss ein API-Key verwendet werden, siehe: https://opentransportdata.swiss/de/howto-access-apis

en:
Data on the formations of passenger trains. Provided in three ways: vehicle-based, stop-based, or both. The data is limited to the railway undertakings (RUs) that provide their formations via the Swiss Federal Railways (SBB) and have consented to the publication of their data as open data.

The end points are: - /formations_stop_based - /formations_vehicle_based - /formations_full
- /information_stop_based: with focus on the overall composition at each stop
- /information_vehicle_based: with focus on the composition parts (vehicle)
- /formations_full: the combination of the other two end points

An API key must be used for access, see: https://opentransportdata.swiss/en/howto-access-apis/

fr:
Données relatives aux formations des trains. Fourni de trois manières : basé sur les véhicules, basé sur les arrêts, ou les deux. Les données se limitent aux entreprises de transport ferroviaire (EF) qui fournissent leurs formations via les Chemins de fer fédéraux suisses (CFF) et qui ont accepté la publication de leurs données en open data.

Les points finaux sont: - /formations_stop_based - /formations_vehicle_based - /formations_full
- /formations_stop_based : avec focalisation sur la composition globale à chaque arrêt
- /formations_vehicle_based : avec focalisation sur les parties de la composition (chariot)
- /formations_full : la combinaison des deux autres points finaux

Pour l'accès, une clé API doit être utilisée, voir : https://opentransportdata.swiss/fr/howto-access-apis/

it:
Dati sulle formazioni dei treni. Fornito in tre modi: basato sui veicoli, sulle fermate o su entrambi. I dati sono limitati alle imprese ferroviarie (IF) che forniscono le loro formazioni attraverso le Ferrovie Federali Svizzere (FFS) e che hanno acconsentito alla pubblicazione dei loro dati come open data.

I punti finali sono: - /formations_stop_based - /formations_vehicle_based - /formations_full
- /formations_stop_based: con l'attenzione alla composizione complessiva in ogni fermata
- /formations_vehicle_based: con focus sulle parti di composizione (veicolo)
- /formations_full: la combinazione degli altri due punti finali

Per l'accesso è necessario utilizzare una chiave API, vedi: https://opentransportdata.swiss/it/howto-access-apis/

en: proprietary api real-time-traffic formation train mobility-service-provider

de: api echtzeitverkehr formation zug mobilitatsdienstleister proprietar

fr: proprietaire api trafic-en-temps-reel formation train prestataire-de-mobilite

it: proprietario api traffico-in-tempo-reale formazione treno fornitore-di-servizi-di-mobilita

oevch

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.

en: Business office of Customer Information System Tasks (SBB CFF FFS)

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

de: Howto: Access our APIs with API Keys

en: Howto: Access our APIs with API Keys

fr: Howto: Access our APIs with API Keys

it: Howto: Access our APIs with API Keys

de: Train Formation Service (Zugkomposition)

en: Train Formation Service (Train Composition)

fr: Train Formation Service (formations des trains)

it: Train Formation Service (formazioni dei treni)

title_for_slug: formationsdaten

de: Formationsdaten - halt-basiert

en: Formation data - stop-based

fr: Données de formation - à base d'halt

it: Dati formazione - basato sull'arresto

identifier: formations-api-stop-based

de: Formationsdaten - Fahrzeug-basiert

en: Formation data - vehicle-based

fr: Données de formation - basées sur les véhicules

it: Dati di formazione - basati sui veicoli

identifier: formations-api-vehicle-based

de: Formationsdaten - voll

en: Formation data - full

fr: Données de formation - plein

it: Dati di formazione - completi

identifier: formations-api-full

api

display_name: api

echtzeitverkehr

display_name: echtzeitverkehr

formation

display_name: formation

formazione

display_name: formazione

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita

mobilitatsdienstleister

display_name: mobilitatsdienstleister

mobility-service-provider

display_name: mobility-service-provider

prestataire-de-mobilite

display_name: prestataire-de-mobilite

proprietaire

display_name: proprietaire

proprietar

display_name: proprietar

proprietario

display_name: proprietario

proprietary

display_name: proprietary


ga-hta-liste

de: Der Datensatz umfasst die Generalabonnemente (GA) und Halbtaxabonnemente (HTA), welche Ende Jahr gültig im Umlauf waren, aufgeteilt auf die Postleitzahlen gemäss Wohnadressen der Halterinnen respektive Halter der Abonnements. Um den Datenschutz zu gewährleisten, enthält der Datensatz bei weniger als 20 Abonnementen pro Postleitzahl nicht die genaue Anzahl, sondern den Mittelwert der Anzahl Abonnemente über die Postleitzahlen mit weniger als 20 Abonnementen. Die angegebenen Postleitzahlen beziehen sich auf die im amtlichen Ortschaftenverzeichnis von Swisstopo aufgeführten Postleitzahlen.

en: The data set comprises the GA and Half Fare Travelcard subscriptions that were validly in circulation at the end of the year, broken down by zip code according to the residential addresses of the holders of the season tickets. To ensure data protection, if there are fewer than 20 subscriptions per zip code, the data record does not contain the exact number, but the mean value of the number of subscriptions across the zip codes with fewer than 20 subscriptions. The specified zip codes refer to the zip codes listed in Swisstopo's official directory of localities.

fr: L'ensemble de données comprend les abonnements général et demi-tarif valables en circulation à la fin de l'année, répartis par code postal selon les adresses de domicile des détenteurs des abonnements. Pour assurer la protection des données, s'il y a moins de 20 abonnements par code postal, l'enregistrement de données ne contient pas le nombre exact, mais la valeur moyenne du nombre d'abonnements à travers les codes postaux avec moins de 20 abonnements. Les codes postaux indiqués se réfèrent aux codes postaux figurant dans le répertoire officiel des localités de Swisstopo.

it: Il set di dati comprende gli abbonamenti generali e metà prezzo validamente in circolazione alla fine dell'anno, suddivisi per codice postale in base all'indirizzo di residenza dei titolari degli abbonamenti. Per garantire la protezione dei dati, se ci sono meno di 20 abbonamenti per codice postale, il record di dati non contiene il numero esatto, ma il valore medio del numero di abbonamenti nei codici postali con meno di 20 abbonamenti. I codici postali indicati si riferiscono ai codici postali elencati nell'elenco ufficiale delle località di Swisstopo.

en: proprietary data half-fare-travelcard-subscription general-travelcard-subscription season-ticket without-transport-service administration analyst

de: proprietar embag daten halbtaxabonnement generalabonnement abonnement ohne-beforderungsleistung analyst verwaltung

fr: proprietaire lmeta donnees abonnement-demi-tarif abonnement-general abonnement sans-prestation-de-transport administration analyste

it: proprietario lmeca dati abbonamento-meta-prezzo abbonamento-generale abbonamento-stagionale senza-servizio-di-transporto amministrazione analista

oevch

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

de: Schweizerische Bundesbahnen (SBB)

en: Swiss Federal Railways (SBB)

fr: Chemins de fer fédéraux suisses (CFF)

it: Ferrovie Federali Svizzere (FFS)

de: Cookbook (Documentation)

en: Cookbook (Documentation)

fr: Cookbook (Documentation)

it: Cookbook (Documentation)

de: Generalabonnement und Halbtax

en: GA and Half Fare Travelcard

fr: Abonnement général et demi-tarif

it: Abbonamento generale e abbonamento metà prezzo

title_for_slug: ga-hta-liste

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: Generalabonnement- und Halbtax-Liste

en: General season ticket and Half-Fare travelcard list

abbonamento-generale

display_name: abbonamento-generale

abbonamento-meta-prezzo

display_name: abbonamento-meta-prezzo

abbonamento-stagionale

display_name: abbonamento-stagionale

abonnement

display_name: abonnement

abonnement-demi-tarif

display_name: abonnement-demi-tarif

abonnement-general

display_name: abonnement-general

administration

display_name: administration

amministrazione

display_name: amministrazione

analista

display_name: analista

analyst

display_name: analyst

analyste

display_name: analyste

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

embag

display_name: embag

general-travelcard-subscription

display_name: general-travelcard-subscription

generalabonnement

display_name: generalabonnement

halbtaxabonnement

display_name: halbtaxabonnement

half-fare-travelcard-subscription

display_name: half-fare-travelcard-subscription

lmeca

display_name: lmeca

lmeta

display_name: lmeta

ohne-beforderungsleistung

display_name: ohne-beforderungsleistung

sans-prestation-de-transport

display_name: sans-prestation-de-transport

season-ticket

display_name: season-ticket

senza-servizio-di-transporto

display_name: senza-servizio-di-transporto

verwaltung

display_name: verwaltung


geschaftsorganisationen-mit-echtzeit

de: Die Liste enthält alle Geschäftsorganisationen, für die Echtzeitdaten zur Verfügung stehen oder in Zukunft stehen werden.

en: The list contains all business organisations for which realtime data is available or will be in the future.

fr: La liste contient toutes les organisations commerciales pour lesquelles des données en temps réel sont disponibles ou qui le seront à l’avenir.

it: L'elenco contiene tutte le organizzazioni aziendali per le quali sono disponibili dati in tempo reale o lo sarà in futuro.

en: proprietary data business-register swiss-business-organisation-id swiss-administration-id transport-operator transport-company business-organisation real-time on-demand-bus train bus mobility-service-provider

de: proprietar embag daten geschaftsregister swiss-business-organisation-id swiss-administration-id transportunternehmen verkehrsunternehmen geschaftsorganisation echtzeit on-demand-bus zug bus mobilitatsdienstleister

it: proprietario lmeca dati registro-delle-imprese id-organizzazione-aziendale-svizzera id-amministrazione-svizzera operatore-di-trasporto azienda-di-trasporto organizzazione-aziendale tempo-reale autobus-a-richiesta treno autobus fornitore-di-servizi-di-mobilita

de: Ereignismanagement System – EMS SKI

en: Event Management System - EMS SKI

fr: Système de gestion des événements – EMS SKI

it: Gestione degli avvenimenti: EMS SKI

de: Cookbook Geschäftsorganisationen

en: Cookbook Geschäftsorganisationen

fr: Cookbook Geschäftsorganisationen

it: Cookbook Geschäftsorganisationen

en: Business organisations with realtime data

fr: Organisations commerciales avec données en temps réel

it: Organizzazioni con dati in tempo reale

title_for_slug: geschaftsorganisationen-mit-echtzeit

de:
Die Liste umfasst alle Geschäftsorganisationen, für die Echtzeitdaten zur Verfügung stehen oder in Zukunft stehen werden.

Letztes Update: 2025-06-06

en:
The list includes all business organisations for which real-time data is available or will be in the future.

Last Update: 2025-06-06

fr:
La liste comprend toutes les organisations commerciales pour lesquelles des données en temps réel sont disponibles ou qui le seront à l’avenir.

Dernière mise à jour : 2025-06-06

it:
L’elenco comprende tutte le organizzazioni aziendali per le quali sono disponibili dati in tempo reale o lo sarà in futuro.

Ultimo aggiornamento: 2025-06-06

identifier: GO Realtime

autobus

display_name: autobus

autobus-a-richiesta

display_name: autobus-a-richiesta

azienda-di-trasporto

display_name: azienda-di-trasporto

bus

display_name: bus

bus-a-la-demande

display_name: bus-a-la-demande

business-organisation

display_name: business-organisation

business-register

display_name: business-register

echtzeit

display_name: echtzeit

entreprise-de-transport

display_name: entreprise-de-transport

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita

geschaftsorganisation

display_name: geschaftsorganisation

geschaftsregister

display_name: geschaftsregister

id-amministrazione-svizzera

display_name: id-amministrazione-svizzera

id-de-la-administration-suisse

display_name: id-de-la-administration-suisse

id-organizzazione-aziendale-svizzera

display_name: id-organizzazione-aziendale-svizzera

mobilitatsdienstleister

display_name: mobilitatsdienstleister

mobility-service-provider

display_name: mobility-service-provider

on-demand-bus

display_name: on-demand-bus

operateur-de-transport

display_name: operateur-de-transport

operatore-di-trasporto

display_name: operatore-di-trasporto

organisation-commerciale

display_name: organisation-commerciale

organizzazione-aziendale

display_name: organizzazione-aziendale

prestataire-de-mobilite

display_name: prestataire-de-mobilite


en: vdv-736 siri-sx data incident-management transport-operator transport-company incident disruption line train bus passenger business-organisation ojp gtfs-sa

de: vdv-736 siri-sx daten ereignismanagement transportunternehmen verkehrsunternehmen ereignis storung fahrt linie bus zug passagier geschaftsorganisation ojp gtfs-sa

fr: vdv-736 siri-sx donnees management-des-evenements operateur-de-transport entreprise-de-transport evenement perturbation voyage ligne train autobus passager organisation-commerciale ojp gtfs-sa

it: vdv-736 siri-sx dati gestione-degli-eventi operatore-di-trasporto azienda-di-trasporto evento interruzione viaggio linea treno autobus passaggero organizzazione-aziendale ojp gtfs-sa

oevch

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.

en: Business office of Customer Information System Tasks (SBB CFF FFS)

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

de: Cookbook Geschäftsorganisationen mit Ereignisdaten für Infrastrukturobjekte

en: Business organisations with event data

fr: Organisations commerciales avec données d’événements

it: Organizzazioni aziendali con dati di eventi

de:
Die Liste umfasst alle Geschäftsorganisationen, für die Ereignisdaten zur Verfügung stehen.

Letztes Update: 27.05.2025

en:
The list contains all business organisations for which situation exchange data is available.

Last Update: 27.05.2025

fr:
La liste contient toutes les organisations commerciales pour lesquelles des données d'événements sont disponibles.

Dernière mise à jour : 27.05.2025

it:
L'elenco contiene tutte le organizzazioni aziendali per le quali sono disponibili dati sugli eventi.

Ultimo aggiornamento: 27.05.2025

identifier: GO SIRI-SX

autobus

display_name: autobus

azienda-di-trasporto

display_name: azienda-di-trasporto

bus

display_name: bus

business-organisation

display_name: business-organisation

data

display_name: data

daten

display_name: daten

dati

display_name: dati

disruption

display_name: disruption

donnees

display_name: donnees

ereignis

display_name: ereignis

ereignismanagement

display_name: ereignismanagement

evenement

display_name: evenement

evento

display_name: evento

fahrt

display_name: fahrt

gestione-degli-eventi

display_name: gestione-degli-eventi

gtfs-sa

display_name: gtfs-sa

incident

display_name: incident

incident-management

display_name: incident-management

interruzione

display_name: interruzione

ligne

display_name: ligne

line

display_name: line

linea

display_name: linea

linie

display_name: linie

management-des-evenements

display_name: management-des-evenements

ojp

display_name: ojp