maintainer: Camille Albouy

en: teleo edna bay-biscay chondrichthyes atlantic-region actinopterygii fish-composition dna-metabarcoding

en: Data access

en:
Environmental DNA complements scientific trawling in surveys of marine fish biodiversity (Dataset 2020)

In October 2020 we chose 16 sites from the 2020 EVHOE survey for eDNA sampling. The French international EVHOE bottom trawl survey is carried out annually during autumn in the BoB to monitor demersal fish resources. All sites were located on the continental shelf (26–170 m depth), except one on the upper slope with a depth of 1045 m. To perform eDNA sampling, we collected water samples at 15 sites (Figure 1a). At each site, we sampled seawater using Niskin bottles deployed with a circular rosette. There were nine bottles on the rosette, each of them able to hold ∼5 l of water. At each site, we first cleaned the circular rosette and bottles with freshwater, then lowered the rosette (with bottles open) to 5 m above the sea bottom, and finally closed the bottles remotely from the boat. The 45 l of sampled water was transferred to four disposable and sterilized plastic bags of 11.25 l each to perform the filtration on-board in a laboratory dedicated to the processing of eDNA samples. To speed up the filtration process, we used two identical filtration devices, each composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 l min–1 ), a VigiDNA 0.20 μm filtration capsule (SPYGEN, le Bourget du Lac, France), and disposable sterile tubing. Each filtration device filtered the water contained in two plastic bags (22.5 l), which represent two replicates per sampling site. We followed a rigorous protocol to avoid contamination during fieldwork, using disposable gloves and single-use filtration equipment and plastic bags to process each water sample. At the end of each filtration, we emptied the water inside the capsule that we replaced by 80 ml of CL1 conservation buffer and stored the samples at room temperature following the specifications of the manufacturer (SPYGEN, Le Bourget du Lac, France). We processed the eDNA capsules at SPYGEN, following the protocol proposed by Polanco-Fernández et al., (2020). We performed library preparation and sequencing at Fasteris (Geneva, Switzerland). Specifically, we prepared four libraries using the MetaFast protocol (a ligation-based method) and sequenced them separately. We carried out paired-end sequencing using a MiSeq sequencer (2 × 125 bp, Illumina, San Diego, CA, USA) on two MiSeq Flow Cell Kits (v3; Illumina), following the manufacturer’s instructions. We analysed the sequence reads using the OBITools package (http:
//metabarcoding.org/obitools; Boyer et al., 2016), following the protocol described by Valentini et al. (2016).

Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

actinopterygii

display_name: actinopterygii

atlantic-region

display_name: atlantic-region

bay-biscay

display_name: bay-biscay

chondrichthyes

display_name: chondrichthyes

dna-metabarcoding

display_name: dna-metabarcoding

edna

display_name: edna

fish-composition

display_name: fish-composition

teleo

display_name: teleo

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Environmental DNA Marine France Evhoe 2020


photogrammetric-drone-data-dorfberg

maintainer: Yves Bühler

title_for_slug: photogrammetric-drone-data-dorfberg

en: snow-distribution dsm drone-data snow photogrammetry orthophoto snow-depth-mapping uav

state: active

type: dataset

en: Data Access

en:
- 3cm-resolution Orthophoto
- 10cm-resolution DSM
- 10cm-resolution snow depth raster
- original RGB images
- Agisoft Metashape Report

All products are also available as a cloud optimized geotiff.

format: SERVICE

en: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow

display_name: snow

snow-depth-mapping

display_name: snow-depth-mapping

snow-distribution

display_name: snow-distribution

uav

display_name: uav

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Photogrammetric Drone Data Dorfberg


maintainer: EnviDat Support

en: cloud-droplets modeling total-number pmcamx-uf nucleation

en: data_JRL_New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale.Paper_2023GL106182.zip

media_type: application/zip

format: ZIP

en: This repository contains PMCMx-UF model outputs used for the paper: D. Patoulias K. Florou S. N. Pandis and A. Nenes: New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale, Geophysical Research Letters, in review, 2023.

cloud-droplets

display_name: cloud-droplets

modeling

display_name: modeling

nucleation

display_name: nucleation

pmcamx-uf

display_name: pmcamx-uf

total-number

display_name: total-number

en: Dataset for the publication New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale


maintainer: Izabela Bujak-Ozga

en: catchment stream-water groundwater hydrogen-isotopes solutes catchment-data oxygen-isotopes

media_type: application/pdf

en: This document provides a detailed description of the hydrochemical dataset, including, among other things, an overview of the dataset content, an explanation of the column headers, a description of the locations where samples were collected, and an explanation of the abbreviations used in the dataset.

format: PDF

media_type: text/csv

en: This dataset includes mean concentrations of solutes (Calcium, Iron, Magnesium, Sodium, Potassium, Boron, Nitrate, Sulfate, and Chloride) and stable isotope values (hydrogen and oxygen) in water molecules. These were measured in precipitation, groundwater, soil water, and surface water samples collected from the Haute-Mentue catchment in Switzerland during Spring and Fall 2022. Detailed information is available in the accompanying documentation (documentation_for_the_hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_catchment.pdf).

format: CSV

en: The dataset contains hydrochemical data collected from spring to fall 2022 in the Haute-Mentue catchment, Switzerland. This hydrochemical data includes solute concentrations and stable isotopes of oxygen and hydrogen in water molecules, measured in streamwater, soil water, groundwater, and rainfall samples. Samples were collected during eight rainfall events with higher temporal resolution (hourly) as well as at lower resolution between events. A detailed description of the dataset is provided in the documentation.

catchment

display_name: catchment

catchment-data

display_name: catchment-data

groundwater

display_name: groundwater

hydrogen-isotopes

display_name: hydrogen-isotopes

oxygen-isotopes

display_name: oxygen-isotopes

solutes

display_name: solutes

stream-water

display_name: stream-water

en: Hydrochemical Data Collected during Spring-Fall 2022 in the Haute-Mentue Catchment


dataset-on-new-snow-water-equivalent

title_for_slug: dataset-on-new-snow-water-equivalent

en: snow-modelling snowfall data-assimilation new-snow precipitation

en: The .zip file contains all data as described in this repository and associated publication. The .zip file contains a readme file describing its content in detail.

en:
This dataset includes quality-controlled measurements of new snow depth (HN), new snow water equivalent (HNW), snow depth (HS), and snow water equivalent (SWE) from 41 stations located in Switzerland for the period from 2016-09-01 to 2022-08-31.
These data are the basis of the following publication: Magnusson J., Cluzet B., Quéno L., Mott R., Oberrauch M., Mazzotti G., Marty C., Jonas T., 2025, Evaluating methods to estimate the water equivalent of new snow from daily snow depth recordings, Cold Regions Science and Technology, https://doi.org/10.1016/j.coldregions.2025.104435.
Abstract
The water equivalent of new snow (HNW) plays a crucial role in various fields, including hydrological modeling, avalanche forecasting, and assessing snow loads on structures. However, in contrast to snow depth (HS), obtaining HNW measurements is challenging as well as time-consuming and is hence rarely measured. Therefore, we assess the reliability of two semi-empirical methods, HS2SWE and ΔSNOW, for estimating HNW. These methods are designed to simulate continuous water equivalent of the snowpack (SWE) from daily HS only, with changes in SWE yielding daily HNW estimates. We compare both parametric methods against HNW predictions from a physics-based snow model (FSM2oshd) that integrates daily HS recordings using data assimilation. Our findings reveal that all methods exhibit similar performance, with relative biases of less than ~3 % in replicating SWE observations commonly used for model evaluations. However, the ΔSNOW model tends to underestimate daily HNW by ~17 %, whereas HS2SWE and FSM2oshd combined with a particle filter data assimilation scheme provide nearly unbiased estimates, with relative biases below ~5 %. In contrast to the parsimonious parametric methods, we show that the physics-based approach can yield information about unobserved variables, such as total solid precipitation amounts, that may differ from HNW due to concurrent melt. Overall, our results underscore the potential of utilizing commonly available daily HS data in conjunction with appropriate modeling techniques to provide valuable insights into snow accumulation processes. Our study demonstrates that daily SWE observations or supplementary measurements like HNW are important for validating the day-to-day accuracy of simulations and should ideally already be incorporated during the calibration and development of models.
Acknowlegements
These data were recorded by SLF observers and staff members. Their contribution is gratefully acknowledged.

data-assimilation

display_name: data-assimilation

new-snow

display_name: new-snow

precipitation

display_name: precipitation

snow-modelling

display_name: snow-modelling

snowfall

display_name: snowfall

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Dataset on new snow water equivalent


maintainer: Felix Kienast

en: ecosystem-services energy photovoltaic landscape spatial-planning social-acceptance marxan optimization wind-power

en:
This is the compressed Shapefile (ESRI) from the MARXAN optimization with 2216 rows (objects) and 18 columns (variables) with sf (simple feature) and data frame classes.
Column description:
X01 = Planning_units (PUs)
X02 = incl.OS. number of times pu was selected in MARXAN when optimized for ecological costs
X03 = incl.OS. number of times pu was selected in MARXAN when optimized for social costs
X04 = incl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X05 = incl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X06 = incl.OS. total energy (MWh/a)
X07 = incl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X08 = incl.OS. energy from wind turbines (MWh/a)
X09 = incl.OS. energy from ground-mounted PV infrastructure (MWh/a)

X10 = excl.OS. number of times pu was selected in MARXAN when optimized for ecological costs
X11 = excl.OS. number of times pu was selected in MARXAN when optimized for social costs
X12 = excl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X13 = excl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X14 = excl.OS. total energy (MWh/a)
X15 = excl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X16 = excl.OS. energy from wind turbines (MWh/a)
X17 = excl.OS. energy from ground-mounted PV infrastructure (MWh/a)
geometry = Simple feature XY geometry (SFC_POINT) each representing the center of a 4x4km planning unit (PU) in EPSG 21781 (CRS CH1903 / LV03).

en:
This study examines the siting scenarios for renewable energy infrastructure (REI) in Switzerland, incorporating the external costs of ecosystem services and, innovatively, social preferences. This approach challenges the prevalent techno-economic siting paradigm, which often overlooks these externalities. To minimize the external costs of the scenarios while maximizing energy yield, Marxan, an optimization software, was employed.
MARXAN was run for 2 versions: a) without ground-mounted open space PV infrastructure (excl. OS) and b) with ground-mounted open space PV infrastructure (incl. OS). In each version optimization was done using ecological costs (ECUess) or social costs (ECUsoc) in a regular grid of 4x4km (planning unit).

File:
PU_data.shp: compressed Shapefile (ESRI) from the MARXAN optimization with 2216 rows (objects) and 18 columns (variables) with sf (simple feature) and data frame classes.

Headers are described below:
X01 = Planning_units (PUs)

X02 = incl.OS. number of times pu was selected in MARXAN when optimized for ecological costs
X03 = incl.OS. number of times pu was selected in MARXAN when optimized for social costs
X04 = incl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X05 = incl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X06 = incl.OS. total energy (MWh/a)
X07 = incl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X08 = incl.OS. energy from wind turbines (MWh/a)
X09 = incl.OS. energy from ground-mounted PV infrastructure (MWh/a)

X10 = excl.OS. number of times pu was selected in MARXAN when optimized for ecological costs
X11 = excl.OS. number of times pu was selected in MARXAN when optimized for social costs
X12 = excl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X13 = excl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X14 = excl.OS. total energy (MWh/a)
X15 = excl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X16 = excl.OS. energy from wind turbines (MWh/a)
X17 = excl.OS. energy from ground-mounted PV infrastructure (MWh/a)

geometry = Simple feature XY geometry (SFC_POINT) each representing the center of a 4x4km planning unit (PU) in EPSG 21781 (CRS CH1903 / LV03).

For MARXAN optimizations (for meaning of standard files in MARXAN see https://scholar.google.ch/scholar_url?url=https://courses.washington.edu/cfr590/software/Marxan1810/marxan_manual_1_8_2.pdf&hl=de&sa=X&ei=NAWHZI6JJ8PFmAGMo47oDQ&scisig=AGlGAw-DBrsV4kUzkR6GkN1jtG66&oi=scholarr), pu_data.shp was used to generate MARXAN files input.dat, pu.dat, puvfeat.dat, spec.dat.
Coordinate Reference System: CH1903 / LV03. EPSG: 21781.

ecosystem-services

display_name: ecosystem-services

energy

display_name: energy

landscape

display_name: landscape

marxan

display_name: marxan

optimization

display_name: optimization

photovoltaic

display_name: photovoltaic

social-acceptance

display_name: social-acceptance

spatial-planning

display_name: spatial-planning

wind-power

display_name: wind-power

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: Optimizing renewable energy siting in the Swiss landscape


maintainer: Alec van Herwijnen

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

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.

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

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.

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


en: marseille marine edna teleo fish-composition mediterraneaen

en: Data access

en:
Description: Fish environmental DNA data set collected in 2021 in the Calanques National Park
The eDNA samples were collected in 2021 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the summer (June to August)and fall (mid-September to November) seasons, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To take into account the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

edna

display_name: edna

fish-composition

display_name: fish-composition

marine

display_name: marine

marseille

display_name: marseille

mediterraneaen

display_name: mediterraneaen

teleo

display_name: teleo

en: Environmental DNA Marine France Calanques 2021


en: drifting-snow blowing-snow antarctica micro-rain-radar large-eddy-simulations mass-flux meteorological-data turbulence eddy-covariance-measurements

en: Measurement data from snow particle counter at MRR site

en: Near-surface observations of drifting snow from a Snow Particle Counter (SPC) installed at the location of the Micro Rain Radar.

en: Simulation data for a situation with significant snow transport

en: Data from two LES-LSM simulations called Drift_1 and Drift_2, which reproduce the conditions observed at the S17 site on 11th January 2019, 00:40 to 00:50 UTC.

en: Measurement data from Micro Rain Radar (MRR)

en: Remote sensing data of blowing snow from a Micro Rain Radar (MRR).

en: Readme

media_type: text/plain

en: Meta data

format: TXT

en: Simulation data for a situation with negligible snow transport

en: Results from two LES-LSM simulations called NoDrift_1 and NoDrift_2, which reproduce the conditions observed at the S17 site on 12th January 2019, 05:40 to 05:50 UTC.

en: Source code of the large-eddy simulations coupled with a Lagrangian stochastic model (LES-LSM), available on GitLab.

en: Measurement data from micro-meteorological station

en: Automatic in-situ measurements of micro-meteorology and snow transport

en:
This dataset contains measurement and simulation data. The measurements characterize the standard meteorology, turbulence, and snow transport at the S17 site near Syowa Station in East Antarctica during an expedition in austral summer 2018/2019. Large-eddy simulations with sublimating particles provide additional insight into the latent and sensible heat exchange between snow and air in two example situations observed at the S17 site.

A part of the measurement data was recorded by an automatic measurement station from 10th January 2019 to 26th January 2019. This measurement station was equipped with standard meteorological sensors, a three-dimensional ultrasonic anemometer, an open-path infrared gas analyzer, a snow particle counter, an infrared radiometer for measurements of the surface temperature, and a sonic ranging sensor measuring changes in snow surface elevation.

At a horizontal distance of approximately 500 m, a Micro Rain Radar (MRR) was installed in a tilted configuration with an elevation angle of 7° for remote sensing of blowing snow between 25th December 2018 and 24th January 2019. In addition, near-surface in-situ measurements of snow transport were performed at the location of the MRR by deploying a snow particle counter from 27th December 2018 to 24th January 2019.

The simulations cover a 18 x 18 x 6 m³ domain and reproduce the steady-state conditions during a 10-min interval with significant snow transport and another 10-min interval with negligible snow transport. We provide the model source code and the post-processed simulation data, i.e., horizontally averaged quantities as a function of height and time.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

eddy-covariance-measurements

display_name: eddy-covariance-measurements

large-eddy-simulations

display_name: large-eddy-simulations

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

micro-rain-radar

display_name: micro-rain-radar

turbulence

display_name: turbulence

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Meteorology and snow transport at S17 near Syowa, Antarctica, in austral summer 2018/2019


maintainer: Avalanche Warning Service SLF

en: Avalanche fatalities per year in Switzerland since 1936/1937

mimetype: text/csv

en:
Attention: this data is not updated after 2022 anymore.
This dataset contains the statistics on the number of avalanche fatalities per hydrological year in Switzerland. The data set commences with the beginning of the hydrological year 1936/37 on 01/10/1936. After the completion of a hydrological year, the new data is appended to the existing dataset.
The following information is contained (by column and column title):
 - hydrological year
 - number of fatalities in the backcountry (=tour)
 - number of fatalities in terrain close to ski areas (=offpiste)
 - number of fatalities on transportation corridors including ski runs, roads, railway lines (=transportation.corridors)
 - number of fatalities in or around buildings or in settlements (= buildings)
 - sum (of all four categories)
The definition for these four categories as described in the guidelines to the avalanche accident database:
**tour**:
activities include back-country ski, snowboard or snow-shoe touring
**offpiste**:
access from ski area, generally from the top of a skilift with short hiking distances
**transportation.corridors** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people travelling or recreating on open or temporarily closed
transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)
**buildings** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people inside or just outside buildings, and workers on high alpine building
sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

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: Number of avalanche fatalities per hydrological year in Switzerland since 1936-1937


disdrometer-data-laret

maintainer: Daniel Wolfensberger

title_for_slug: disdrometer-data-laret

en: disdrometer visibility precipitation hydrometeors raclets

en: Disdrometer Data Laret

en: The zip folder contains one netCDF file per day for Laret from February 7 to March 29 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Laret_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

mimetype: application/zip

en:
A laser optical disdrometer (Parsivel² , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


wind-crust-formation-snowmicropen-data

title_for_slug: wind-crust-formation-snowmicropen-data

en: wind-packing snow wind-crust smp snowmicropen

en: SMP data

en: Links to the dataset

en: Processing scripts

en: Contains the R-scripts used to process the SMPs

en: README

en: Describes the dataset in detail

mimetype: text/plain

en:
This dataset contains the SnowMicroPen (SMP) data from 38 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winters 2015/16 and 2016/17 and include more than 1000 SMP measurements.

The SMPs are organized per experiment. Each experiment subfolder contains the processed SMP profiles and some additional files.

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

This dataset is the basis of the following publication:

Sommer C.G., Lehning M., & Fierz C. (2017). Wind tunnel experiments: Saltation is necessary for wind-packing. Journal of Glaciology, 63(242), 950-958. doi:10.1017/jog.2017.53

smp

display_name: smp

snow

display_name: snow

snowmicropen

display_name: snowmicropen

wind-crust

display_name: wind-crust

wind-packing

display_name: wind-packing

en: Wind crust formation: SnowMicroPen data


maintainer: Daniel Scherrer

en: r-package treemig species-interaction spatial-modelling gui bioclimatic-variables forest species-migration forest-dynamics forest-model land-use

en: Description input data

en: Details where the input data come from and how they have been processed

en: TreeMig Simulation Environment and Input Data

en:
The zip file consists of a R-script to provide the framework, an example simulation environment and a set of input data.
- The R-script installAndRunTreeMigWrapperAndGUI.R installs the R-package, links to the input data and starts the graphical user interface.
- The gridded input datasets in TMInputData are specifically tailored to Switzerland and have the same coordinate reference system and a congruent 200m spatial resolution. They consist of climate, topographic, land use and soil data. For details see TMInputDataDetails.pdf.
- TMEnvironment is an example simulation environment, i.e. a set of hierarchically structured folders. For the first example simulation of the tutorial it contains the
  - the TreeMig executables for MacOS, Linux and Windows
  - simulation control files that define the setup and input files of the simulation (in folder C)
  - species parameters (in folder P)
  - bioclimatic data (in folder E)
  - folder R for results
  - folder Plots for plots of the simulation results.
  - This environment can be also used for the subsequent simulations of the tutorial.
- Some additional R-scripts demonstrate more complex applications described in the tutorial, e.g. coupling to another model.

en: TreeMig Tutorial

en: Tutorial for using the TreeMig framework; updated

en:
Starter kit for the TreeMig framework that allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
The starter kit consists of a set of climate, land-use, topography and soil property input data for Switzerland, a script for installing the framework and running the GUI of the framework with the link to the input data, a tutorial covering a range of simulation examples for Switzerland and a transect through Europe, and an associated example simulation environment containing the model executables and other model inputs.

bioclimatic-variables

display_name: bioclimatic-variables

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-model

display_name: forest-model

gui

display_name: gui

land-use

display_name: land-use

r-package

display_name: r-package

spatial-modelling

display_name: spatial-modelling

species-interaction

display_name: species-interaction

species-migration

display_name: species-migration

treemig

display_name: treemig

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Starter Kit for the TreeMig framework v1 for easy simulation of spatio-temporal forest dynamics


maintainer: Chunhong Zhao

en: landscape urban-morphology austin land-dynamics land-use

en: Land use dynamics in Austin since 1992

en: The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package.

austin

display_name: austin

land-dynamics

display_name: land-dynamics

landscape

display_name: landscape

urban-morphology

display_name: urban-morphology

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: Land use/cover dynamics in Austin metropolitan area since 1992


swiss-fluxnet-site-lageren

title_for_slug: swiss-fluxnet-site-lageren

en: swiss-forest-lab forest meteorological-measurements flux swiss-fluxnet eddy-covariance greenhouse-gas

en: Data access

media_type: text/html

en: The flux and meteo data of the Swiss FluxNet site Lägeren are openly available from the European Fluxes Database Cluster.

format: HTML

en: Site description

en:
The Swiss FluxNet Site Lägeren is a managed mixed deciduous mountain forest located on the steep Lägeren mountain (NW of Zurich, Swiss Plateau). The forest is highly diverse, dominated by beech, but also including ash, maple, spruce and fir trees. Eddy covariance flux measurements were started in April 2004. The site was part of the international CarboEurope IP network and the National Air Pollution Monitoring Network (NABEL). In addition to Swiss FluxNet, the site is part of the Long-term Forest Ecosystem Research (LWF) of WSL and the biological drought and growth indicator network (TreeNet) of WSL.

Measurements

- Ecosystem flux measurements of CO2, H2O vapour are performed with the eddy-covariance method. This method is based on measurements of trace gas mixing ratios, using infrared gas analyzers (for CO2, H2O vapor), combined with wind speed and wind direction measurements, using 3D sonic anemometers. To resolve the short-term turbulent fluctuations in the atmosphere, very fast measurements are needed: we measure at 10-20 Hz, i.e., 10-20 times per second. To assess the energy budget of each ecosystem, also radiation sensors and soil climate profiles are installed at the site.
- Sub-canopy eddy fluxes (CO2, H2O), soil respiration campaigns
- Continuous CO2 profile measurements.
- Auxiliary micrometeorology and soil climate measurements.

Data availability

All data are available from the European Fluxes Database Cluster, but are also part of Fluxnet2015 dataset.

Data policy

ICOS data license:
[https://www.icos-cp.eu/data-services/about-data-portal/data-license](https://www.icos-cp.eu/data-services/about-data-portal/data-license)

Detailed site info:
[https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae//](https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae/)

eddy-covariance

display_name: eddy-covariance

flux

display_name: flux

greenhouse-gas

display_name: greenhouse-gas

meteorological-measurements

display_name: meteorological-measurements

swiss-fluxnet

display_name: swiss-fluxnet

swiss-forest-lab

display_name: swiss-forest-lab

en: Swiss FluxNet Site Lägeren


maintainer: Lina Torregroza

en: ecosystem-services landscape landscape-ecology landscape-perception european-landscape-convention

en:
The social indicators for LABES were collected with a Swiss-wide representative survey. The first survey was conducted in 2011 (n = 2814 participants), the second in 2020 (n = 2090 participants). The “Auswertungsprotokolle” inform about the results of each indicator in 2020 and compared to the state of 2011.
Indicator list:
Indicator 23 Ortsbindung / place attachment
Indicator 24 Landschaftliche Schönheit / visual landscape quality or beauty
Indicator 25 Besonderheit (Eigenart und Vergangenheitsbezug)/ place identity
Indicator 27 Wahrgenommener Informationsgehalt der Landschaft: Komplexität, Entdeckungspotenzial, Kohärenz, Lesbarkeit / Kaplans’ preference matrix: complexity, mystery, coherence, legibility

Indicator 29 Faszination / soft fascination
Indicator 30 Authentizität /authenticity
Indicator Neu_16 Erholung und Landschaft (Erholungsindex, Zugang, Outdoorsport) / recreation and landscapes (recreationindex, access, outdoor sports)
Indicator Neu_17 Beobachtete Landschaftscharakterisierung / perceived landscape charachterization
Indicator Neu_18 Beobachtete Landschaftsveränderungen / perceived landscape changes
Indicator Neu_20 Wahrgenommene Landschaftsqualität in den Grundnutzungen oder Texturen (Wald, Landwirtschaft, Siedlungsflächen, Gewässer)/ Perceived landscape quality in the different land use areas (forest, agriculture, settlement areas, water bodies)
Indicator Neu_22 Gesamturteil zur wahrgenommenen Landschaftsqualität / overall satisfaction
Indicator Neu_23 Kulturelle Landschafswerte / cultural values and services of the landscape

en: This indicator measures the average number of different uses of agricultural land in Switzerland. It is thus a measure of the diversity of agricultural land. The agricultural structure survey is used to record the diversity of use.

en: Transport infrastructure such as highways, connecting roads and railroads, as well as settlement areas divide a landscape into individual areas separated from each other. To measure the degree of landscape fragmentation, the metric of "effective mesh size" (meff) was used (Jaeger 2000). It expresses the probability that there are no separating elements, such as traffic routes or settlements, between two randomly selected points. The more separating elements cut up the landscape, the lower this probability and the smaller the effective mesh size.

en: Indicator 1 quantitatively describes the forest area of Switzerland and its change. The required data on forest area are calculated using the area statistics (Swiss Federal Statistical Office, SFSO).

en:
This indicator shows the state of vegetation within urban areas in Switzerland. On the one hand, the entire vegetation period is considered, taking into account all data from mid-May to mid-September. On the other hand, an additional analysis focuses on the spring period from mid-May to the end of June in order to observe only the growing season, which in the vast majority of cases is not yet affected by drought stress.
The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are required to cover the extent of Switzerland.

en: Indicator 4 describes the length and area of roads and railroads for the year 2020, as well as the changes between different points in time. The calculation of length and area consumption is based on the Topographic Landscape Model TLM and TLM3D of the Federal Office of Topography. Before 2014, changes were recorded in a sampling procedure based on landscape elements and extrapolated to subspaces and the whole of Switzerland. Since 2015, however, it has been possible to use data directly for the whole of Switzerland.

en: Areas left to nature are areas in which natural processes can take place essentially undisturbed and direct human influences determine the (current) development only to a small extent. In such areas, the composition of animal and plant communities differs from that in the cultivated landscape. The areas left to nature in Switzerland can be divided into "wilderness areas" in the forest (forest wilderness), areas left to nature in the high mountains (alpine fallow) and areas along water bodies (floodplains). The areas may or may not be accessible. Of central importance is the intensity of human activities.

en: This indicator shows the situation of wind energy in Switzerland. Firstly, we locate the current wind turbines and wind farms in Switzerland and compare their location with the wind speed map and the federal government's base map concerning the main wind potential areas. Secondly, we analyse the development of wind energy in Switzerland over the years and the efficiency of such structures.

en: This indicator shows the status of transmission lines in Switzerland and analyses the land cover on which these infrastructures are built. Transmission lines are assessed on the basis of TLM data. An extract from TLM_VERSORGUNGSBAUTE (OBJEKTART: Hochspannungsleitungen) is used to calculate the length consumption. In addition, the area statistics layer (NOLC04) is used to differentiate land types into different categories. The total length of transmission lines in Switzerland, in the different biogeographical regions and in the different cantons is calculated by overlay operations for year 2015 and year 2020 (see appendices for further details).

en: Light emissions in 500m resolution for entire Switzerland for the periode 2014-2020 using VIIRS-VCSML

en: This indicator shows the agricultural intensity in Switzerland using satellite data by calculating the NDVI values for each growing season and, in particular, observing the standard deviation of these values over the years. The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are needed to cover the extent of Switzerland.

en: This is the general readme for all LABES datasets.

en:
Remoteness implies distance from a reference. In the case of an actual journey through a remote landscape, this distance can mean the physical distance from society or from signs of civilisation. In solitude, individuals face the elements of nature and thus move a step away from the backing of security provided by civilised society.
To calculate the remoteness of each grid cell per time period, the "Path Distance" ArcGIS tool is used. This calculates the cost between each grid cell and the settlement areas (pixels with >15 people) as the shortest trajectory. The surface distance is calculated from the horizontal and vertical distance (including the digital elevation model DHM25) and a cost grid, which assigns to each cell the costs incurred when passing through this area. As soon as the trajectory meets (or starts on) a road on which the settlement can be reached, the journey time by public transport or by private means of transport is calculated and the shorter of the two journey times is used.

en: This indicator quantitatively describes land consumption for settlement and the change in Switzerland's settlement area based on data from Switzerland's land use statistics (Swiss Federal Statistical Office FSO).

en: Indicator 11a describes the change in the length of watercourses in Switzerland between different points in time. The changes are systematically recorded on the basis of the changes in the national maps 1:25,000, later Vector25 and from about 2012 using TLM3D. With this evaluation protocol (2022), the sampling procedure of "Landschaft unter Druck" is used for the last time. It consists of 152 sampling rectangles in which the changes are recorded and extrapolated to the whole of Switzerland. From TLM3D (2020) onwards, the extrapolation is guaranteed for the entire area of Switzerland.

en: As a metric for characterising urban sprawl, the measure of urban sprawl (Z or weighted urban permeation WUP) was first propagated by Jaeger et al. (2008). We use this measure here. Urban sprawl is expressed in DSE/m2. The metric was refined within the framework of the National Research Programme 54 "Sustainable settlement and infrastructure development" in the project "Landscape sprawl Switzerland - Quantitative analysis 1935 to 2002 and implications for spatial planning" (Jaeger et al. 2008).

en: Indicator 31a describes the accessibility of water bodies in Switzerland. Water bodies are popular recreational areas. In order to be used by the population, therefore they should be freely accessible.

en: Indicator 8 quantitatively describes the Euclidean distance from each point of a 12.5x12.5m grid outside the building zone to the nearest building. This is a revision based on a new calculation method.

en: Summer pastures make up the majority of extensively used agricultural land in Switzerland. Summer pastures are located at altitudes that do not allow intensive use of the land, as is the case in the Central Plateau. Fertiliser use is either non-existent or limited. The indicator helps to measure changes in a basic agricultural use that is very important for the mountain landscape. It is a major determinant of landscape character and biodiversity.

en: Indicator 2 describes the quantitative change in Switzerland's agricultural area excluding summer pastures. It contributes to assessing the basic agricultural use, which is very important for the landscape. This has a significant impact on the character of the landscape and on biodiversity.

en: The degree of imperviousness indicates the sealed surface area as a percentage. The LABES indicator 7 is surveyed with the area statistics Switzerland. The survey interval of the areal statistics is 12 years for the first 3 surveys and 9 years for the fourth survey of the areal statistics; therefore, short-term developments in the change of the sealed surface cannot be recorded.

en: For many people, "untouched landscape" is the very essence of nature. There are hardly any places left in Switzerland that have no human influence. But you can find regions where human influence is not so obvious. These are areas where no human buildings and installations can be seen. Areas free of facilities are therefore the most natural areas that can be found in Switzerland.

en: Indicator 35 describes the accessibility with footpaths and hiking trails less than 2m wide. The basis for this is the Topographic Landscape Model (TLM and TLM3D) of the Federal Office of Topography. The data are given in km/km2 and are broken down by land use. The land use categories settlement, forest and open land are extracted from the area statistics of the Federal Statistical Office. Contrary to the initial calculation in 2015, we have abandoned the official attribute "hiking trail", as it has been shown that official "hiking trails" are also routed over longer distances along major roads. The current definition has to do solely with the width of the path (max. width 2m) and not with the official designation. This is closer to the quality of a trail than the official designation "hiking trail".

en:
The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception.
This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES.

ecosystem-services

display_name: ecosystem-services

european-landscape-convention

display_name: european-landscape-convention

landscape-ecology

display_name: landscape-ecology

landscape-perception

display_name: landscape-perception

en: LABES 2 Indicators of the Swiss Landscape Monitoring Program


maintainer: Amt für Statistik

de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

en: Data structure in English

media_type: application/json

format: JSON

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Verleihung des Landesbürgerrechts aufgrund StGH-Urteil nach Jahr, Wohnsitz und Altersklasse nach Jahr, Wohnsitz und Altersklasse

en: Granting of national citizenship on the basis of the Constitutional Court ruling by Year, Place of residence and Age group by Year, Place of residence and Age group

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

intr

fr: Questions internationales

de: Internationale Themen

en: International issues

it: Tematiche internazionali

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

value: DCAT Harvester Amt für Statistik FL

de: Verleihung des Landesbürgerrechts aufgrund StGH-Urteil nach Wohnsitz und Altersklasse seit 1997

en: Granting of national citizenship on the basis of the Constitutional Court ruling by place of residence and age group since 1997


de: Baukosten (in Mio. CHF) nach Bewilligungsjahr, Art der Bauwerke und Kategorie der Auftraggeber

en: Construction costs (in million CHF) by Year of approval, Type of buildings and Client categories

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

de: Baukosten nach Art der Bauwerke und Kategorie der Auftraggeber seit 2010

en: Construction costs (in million CHF) by type of buildings and client categories since 2010


de: Alle Beherbergungsarten bei Jahr, Kennzahl, Herkunftsland und Monat

en: All types of accommodation by Year, Key figure, Country of residence and Month

tourism

display_name: tourism

tourismus

display_name: tourismus

de: Alle Beherbergungsarten - Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Herkunftsland und Monat seit 2012

en: All types of accommodation - Arrivals, nights spent and length of stay by country of residence and month since 2012


de: Erleichterte Einbürgerung infolge Eheschliessung nach Jahr, Heimatgemeinde und Geschlecht nach Jahr, Heimatgemeinde und Geschlecht

en: Facilitated naturalisation due to marriage by Year, Home municipality and Sex by Year, Home municipality and Sex

de: Erleichterte Einbürgerung infolge Eheschliessung nach Heimatgemeinde und Geschlecht seit 1987

en: Facilitated naturalisation due to marriage by home municipality and sex since 1987


de: Datenwürfel auf Englisch

en: Data cube in English

de: Wegpendelnde nach Jahr, Arbeitsregion und Wohngemeinde

en: Outward commuters by Year, Region of work and Municipality of residence

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

de: Wegpendelnde nach Arbeitsregion und Wohngemeinde seit 2008

en: Outward commuters by region of work and municipality of residence since 2008


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Einzelbasis - Bilanz- und Kundenpositionen nach Jahr, Bilanzposition und Domizil

en: Individual basis - Balance sheet and client positions by Year, Balance sheet item and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Einzelbasis - Bilanz- und Kundenpositionen nach Domizil seit 2017

en: Individual basis - Balance sheet and client positions by domicile since 2017


de: Einzelbasis - Personalbestand in Liechtenstein nach Jahr, Beschäftigte und Geschlecht

en: Individual basis - Headcount in Liechtenstein by Year, Persons employed and Sex

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Einzelbasis - Personalbestand in Liechtenstein nach Altersklasse und Geschlecht seit 2017

en: Individual basis - Headcount in Liechtenstein by age group and sex since 2017


de: Erdgaspreise für Haushalte und Kleingewerbe nach Jahr, Tarifgruppe und Jahresbezugsmenge (Brennwert Ho)

en: Natural gas prices for households and small businesses by Year, Tariff group and Annual quantity purchased (gross calorific value GCV)

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

de: Erdgaspreise für Haushalte und Kleingewerbe nach Tarifgruppe und Jahresbezugsmenge von 2004 bis 2014

en: Natural gas prices for households and small businesses by tariff group and annual quantity purchased from 2004 to 2014


de: Bauprojekte bei Bewilligungsquartal, Art der Auftraggeber und Gemeinde

en: Construction projects by Year of approval, Type of clients and Municipality

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Bauprojekte nach Art der Auftraggeber und Gemeinde seit 2015

en: Construction projects by type of clients and municipality since 2015


de: Datenwürfel auf Englisch

en: Data cube in English

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach Jahr, Wohnsitz und Altersklasse

en: Loss of national citizenship through explicit renunciation by Year, Residence and Age group

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

de: Internationale Themen

en: International issues

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach Wohnsitz und Altersklassen seit 2008

en: Loss of national citizenship through explicit renunciation by residence and age group since 2008


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Datenstruktur auf Englisch

en: Data structure in English

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF nach Jahr und Empfänger

en: Compulsory health care insurance - General government contributions in CHF by Year and Recipient

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF nach Empfänger seit 2001

en: Compulsory health care insurance - General government contributions in CHF by recipient since 2001


de: Gestorbene bei Jahr, Geschlecht, Sterbeland und Wohngemeinde

en: Deahts by Year, Sex, Country of death and Municipality of residence

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Gestorbene nach Geschlecht, Sterbeland und Wohngemeinde seit 1999

en: Deaths by sex, country of death and municipality of residence since 1999


de: Gebäude nach Stichtag, Anzahl Wohneinheiten und Gemeinde

en: Buildings by Reference date, Number of housing units and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

de: Gebäude nach Anzahl Wohneinheiten und Gemeinde

en: Buildings by number of housing units and municipality


de: Datenwürfel auf Englisch

en: Data cube in English

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Anzahl Zylinder und Leistungsklasse

en: Passenger cars registered for the first time by Year, Type of fuel, Number of cylinders and Engine power class

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: Erstzugelassene Personenwagen nach Treibstoffart, Anzahl Zylinder und Leistungsklasse

en: Passenger cars registered for the first time by type of fuel, number of cylinders and engine power class


de: Einzelbasis - Forderungen gegenüber Kunden nach Jahr, Bilanzposition und Domizil / Sektor

en: Individual basis - Claims against clients by Year, Balance sheet item and Domicile / Sector

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Einzelbasis - Forderungen gegenüber Kunden nach Domizil und Sektor seit 2017

en: Individual basis - Claims against clients by domicile and sector since 2017


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Zuzüger aus dem Ausland nach Stichtag, Heimat, Geschlecht und Gemeinde

en: Immigrants by citizenship, sex and municipality by Reference date, Citizenship, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Zuzüger aus dem Ausland nach Heimat, Geschlecht und Gemeinde


de: Fruchtbarkeit der Frauen bei Jahr und Altersklasse

en: Fertility by Year and Age group

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Fruchtbarkeit der Frauen nach Altersklasse seit 1999

en: Fertility by age group since 1999


de: Datenwürfel auf Englisch

de: Arealstatistik bei Jahr und Bodenbedeckung

en: Land use statistics by Year and Land cover

raum-flachennutzung

display_name: raum-flachennutzung

territory-land-use

display_name: territory-land-use

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Arealstatistik nach Bodenbedeckung seit 1984

en: Land use statistics by land cover since 1984


en: Data cube in English

de: Baukosten (in Mio. CHF) nach Bewilligungsjahr, Art der Arbeiten, Art der Bauwerke und Gebiet

en: Construction costs (in million CHF) by Year of approval, Type of work, Type of buildings and Area

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

de: Baukosten nach Art der Arbeiten und Art der Bauwerke seit 2010

en: Construction costs (in million CHF) by type of work and type of buildings since 2010


de: Kontensystem der gesamten Volkswirtschaft zu laufenden Preisen seit 2013 bei Jahr, Transaktion und Konto

en: Sequence of national accounts at current prices since 2013 by Year, Transaction and Account

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

de: Externe F+E-Aufwendungen bei Jahr, Sitz des Empfängers und Sektor

en: Extramural expenditure on R+D by Year, Country of recipient and Setor

forschung-und-entwicklung

display_name: forschung-und-entwicklung

research-and-development

display_name: research-and-development

tech

fr: Science et technologie

de: Wissenschaft und Technologie

en: Science and technology

it: Scienza e tecnologia

de: Externe F+E-Aufwendungen nach Sitz des Empfängers und Sektor seit 2019

en: Extramural expenditure on R+D by type of recipient and sector since 2019


en: Data structure in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Fahrzeugbestand nach Stichtag, Fahrzeuggruppe/-art und Erstinverkehrsetzungsjahr sowie Durchschnittsalter der Fahrzeuge

en: Licensed vehicles by Reference date, Vehicle group/ type and First registration and average age of vehicles

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Fahrzeugbestand nach Fahrzeuggruppe/-art, Erstinverkehrsetzungsjahr sowie Durchschnittsalter der Fahrzeuge seit 2013

en: Licensed vehicles by vehicle group/ type, year of first registration as well as average age of vehicles since 2013


de: Datenwürfel auf Englisch

de: Erwerbstätige ständige Bevölkerung nach Jahr, Wirtschaftszweig, Heimat, Stellung im Beruf und Geschlecht

en: Permanent resident population in gainful employment by Year, Economic activity, Citizenship, Occupational status and Sex

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Erwerbstätige ständige Bevölkerung nach Wirtschaftszweig, Heimat, Stellung im Beruf und Geschlecht seit 2006

en: Permanent resident population in gainful employment by economic activity, citizenship, occupational status and sex since 2006


en: Data cube in English

de: Heiratende Personen bei Jahr, Geschlecht, Staatsbürgerschaft und Staatsbürgerschaft des Partners

en: Marrying persons by sex, citizenship and partner's citizenship by Year, Sex, Citizenship and Partner's citizenship

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Heiratende Personen nach Geschlecht, Staatsbürgerschaft und Staatsbürgerschaft des Partners seit 1999

en: Marrying persons by sex, age group, citizenship and partners citizenship since 1999


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach Jahr und Künftige Staatsbürgerschaft nach Jahr und Künftige Staatsbürgerschaft

en: Loss of national citizenship through explicit renunciation by Year and Future citizenship by Year and Future citizenship

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

intr

de: Internationale Themen

en: International issues

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach künftiger Staatsbürgerschaft seit 2012

en: Loss of national citizenship through explicit renunciation by future citizenship since 2012


de: Datenstruktur auf Englisch

en: Data structure in English

de: Migration von Ausländern bei Jahr, Richtung, Zulassungsgrund, Geschlecht und Ausländerrechtliche Bewilligung

en: Migration of foreigners by Year, Direction, Permits under the Foreigners Act, Sex and Permit category

migration-binnenwanderung

display_name: migration-binnenwanderung

migration-internal-migration

display_name: migration-internal-migration

de: Migration von Ausländern nach Richtung, Zulassungsgrund, Geschlecht und ausländerrechtlicher Bewilligung seit 2011

en: Migration of foreigners by direction, reason for approval, sex and permit under the Foreigners Act since 2011


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Lebendgeborene bei Jahr und Altersklasse der Mutter

en: Live births by Year and Mother's age group

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

de: Lebendgeborene nach Altersklasse der Mutter seit 1999

en: Live births by mothers age group since 1999


de: Datenwürfel auf Englisch

de: Wohnungen nach Stichtag, Haushaltstyp, Zimmerzahl, Wohnungsfläche und Gemeinde

en: Dwellings by Reference date, Type of household, Number of rooms, Useful floor space and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

amt-fuer-statistik-fl

en: Office of Statistics

de: Wohnungen nach Haushaltstyp, Zimmerzahl, Wohnungsfläche und Gemeinde

en: Dwellings by type of household, number of rooms, useful living space and municipality


author: Amt für Statistik

en: Data cube in English

de: Warenhandel nach Handelspartner, Jahr, Richtung, Total und Einheit

en: Trade in goods by Commercial partner, Year, Traffic direction, Total and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

de: Amt für Statistik

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Warenhandel nach Handelspartner und Richtung seit 2016

en: Trade in goods by commercial partner and traffic direction since 2016


de: Datenwürfel auf Deutsch

de: Studierende aus Liechtenstein an Universitäten nach Jahr, Fächergruppe, Geschlecht und Studienland

en: Students from Liechtenstein at universities by Year, Field of study, Sex and Country of university

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Studierende aus Liechtenstein an Universitäten nach Fächergruppe, Geschlecht und Studienland seit 2005/06

en: Students from Liechtenstein at universities by field of study, sex and country of university since 2005/06


de: Datenstruktur auf Englisch

en: Data cube in German

de: Personenwagenbestand nach Stichtag, Leergewichtsklasse, Gesamtgewichtsklasse und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Unladen weight class, Maximum gross weight class and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Personenwagenbestand nach Leergewichtsklasse, Gesamtgewichtsklasse und Altersklasse seit 2013

en: Licensed passenger cars by unladen weight class, maximum gross weight class and age category since 2013


de: Datenstruktur auf Deutsch

en: Data structure in German

en: Data structure in English

de: Strom nach Jahr und Kennzahl

en: Electricity by Year and Key figure

energie

display_name: energie

energy

display_name: energy

ener

de: Energie

en: Energy

de: Strom nach Kennzahl seit 1985

en: Electricity by key figure since 1985


de: Datenwürfel auf Englisch

de: Stromproduktion der Wasserkraftwerke Samina und Lawena nach Jahr und Monat

en: Electricity production from hydropower stations Samina and Lawena by Year and Month

amt-fuer-statistik-fl

en: Office of Statistics

de: Stromproduktion der Wasserkraftwerke Samina und Lawena nach Monat seit 1985

en: Electricity production from the hydropower stations Samina and Lawena by month since 1985


en: Data cube in English

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF nach Jahr, Einheit, Personengruppe, Schlüsselzahlen der Betriebsrechnung und Versicherungsform

en: Compulsory health care insurance - Key figures of profit and loss accounts in CHF by Year, Unit, Group of persons, Key figures of profit and loss accounts and Type of insurance

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Amt für Statistik

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF nach Versicherungsform, Einheit und Personengruppe seit 2001

en: Compulsory health care insurance - key figures of profit and loss accounts in CHF by type of insurance, unit and group of persons since 2001


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden nach Jahr, Anzahl Konti / Einlage, Verbindlichkeiten gegenüber Kunden, Einlageklasse und Domizil

en: Individual basis - Liabilities to clients by Year, Number of accounts / deposit, Liabilities to clients, Deposit class and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden nach Anzahl Konti, Einlage, Einlageklasse und Domizil seit 2017

en: Individual basis - Liabilities to clients by number of accounts, deposit, deposit class and domicile since 2017


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Produktionskonto zu laufenden Preisen 1998 - 2013 by Jahr, Transaktion and Institutioneller Sektor

en: Production account at current prices 1998 - 2013 by Year, Transaction and Institutional sector

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

de: Produktionskonto zu laufenden Preisen 1998 - 2013 nach Sektor

en: Production account at current prices 1998 - 2013 by institutional sector


en: Data structure in English

de: Einzelbasis - Bilanz (Passiven) nach Jahr, Passiven und Domizil

en: Individual basis - Balance sheet (liabilities) by Year, Liabilities and Domicile

de: Einzelbasis - Bilanz (Passiven) nach Domizil seit 2017

en: 363.101e Individual basis - Balance sheet (assets) by domicile since 2017


de: Datenwürfel auf Englisch

de: Hauptaggregate und -indikatoren der VGR 1998 - 2013 by Jahr and Aggregat / Indikator

en: Main aggregates and main indicators of national accounts 1998 - 2013 by Year and Aggregate / indicator

amt-fuer-statistik-fl

en: Office of Statistics


en: Data cube in English

de: Studierende aus Liechtenstein an Fachhochschulen nach Jahr, Studienland/ Fachhochschule und Geschlecht

en: Students from Liechtenststein at universities of applied sciences by Year, Country/ university of applied sciences and Sex

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Studierende aus Liechtenstein an Fachhochschulen nach Studienland/ Fachhochschule und Geschlecht seit 2005/06

en: Students from Liechtenstein at universities of applied sciences by country/ university of applied sciences and sex since 2005/06


de: Ständige Bevölkerung ab 15 Jahren nach Stichtag, Sozioprofessionelle Kategorie, Heimat, Geschlecht und Wohngemeinde

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Ständige Bevölkerung ab 15 Jahren nach sozioprofessioneller Kategorie, Heimat, Geschlecht und Wohngemeinde


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Produktionskonto zu laufenden Preisen seit 2013 bei Jahr, Transaktion und Institutioneller Sektor

en: Production account at current prices since 2013 by Year, Transaction and Institutional sector

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Produktionskonto zu laufenden Preisen seit 2013 nach Sektor

en: Production account at current prices seit 2013 by institutional sector


de: Datenstruktur auf Deutsch

de: Einzelbasis - Lernende in Liechtenstein nach Jahr, Lehrjahr und Geschlecht

en: Individual basis - Apprentices in Liechtenstein by Year, Apprenticeship year and Sex

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Einzelbasis - Lernende in Liechtenstein nach Lehrjahr und Geschlecht seit 2017

en: Individual basis - Apprentices in Liechtenstein by apprenticeship year and sex since 2017


en: Data structure in German

de: Datenwürfel auf Englisch

de: Baukosten (in Mio. CHF) nach Bewilligungsjahr, Kategorie der Auftraggeber, Art der Arbeiten und Gemeinde

en: Construction costs (in million CHF) by Year of approval, Client categories, Type of work and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

de: Baukosten nach Kategorie der Auftraggeber, Art der Arbeiten und Gemeinde seit 2010

en: Construction costs (in million CHF) by client category, type of work and municipality since 2010


de: Motorräderbestand nach Stichtag, Hubraumklasse und Gemeinde

tran

de: Verkehr

en: Transport

de: Motorräderbestand nach Hubraumklasse und Gemeinde seit 2013


en: Data structure in English

de: Kennzahlen der Vorsteherwahlen nach Jahr, Kennzahl und Gemeinde

en: Key figures on mayorial elections by Year, Key figure and Municipality by Year, Key figure and Municipality

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

de: Kennzahlen der Vorsteherwahlen nach Gemeinde seit 1975

en: Key figures on mayoral elections by municipality and political party since 1975


en: Data cube in English

de: Datenstruktur auf Englisch

de: Erstzugelassene Personenwagen bei Jahr, Treibstoff (detailliert) und Importart

en: Passenger cars registered for the first time by Year, Type of fuel (detailed) and Kind of import

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

de: Erstzugelassene Personenwagen nach Treibstoff (detailliert) und Importart

en: Passenger cars registered for the first time by type of fuel (detailed) and kind of import


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Kennzahlen der Landtagswahlen bei Jahr, Kennzahl und Wahlkreis

en: Key figures on parliamentary elections by Year, Key figure and Constituency

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Kennzahlen der Landtagswahlen nach Wahlkreis seit 1945

en: Key figures on parliamentary elections by constituency since 1945


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

de: Erstzugelassene Personenwagen bei Jahr, Leistungsklasse, Treibstoffart und CO2-Emissionsklasse

en: Passernger cars registered for the first time by Year, Engine power class, Type of fuel and CO2 emission class

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Erstzugelassene Personenwagen nach Leistungsklasse, Treibstoffart, CO2-Emissionsklasse sowie mittlere CO2-Emission

en: Passenger cars registered for the first time by engine power class, type of fuel, CO2 emission class as well as average CO2 emission


en: Data structure in German

de: Erwerbstätige nichtständige Bevölkerung nach Jahr, Wirtschaftszweig, Altersklasse und Geschlecht

en: Non-permanent resident population in gainful employment by Year, Economic activity, Age group and Sex

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Erwerbstätige nichtständige Bevölkerung nach Wirtschaftszweig, Altersklasse und Geschlecht seit 2006

en: Non-permanent resident population in gainful employment by economic activity, age group and sex since 2006


en: Data structure in English

de: Stromproduktion mit Fotovoltaikanlagen nach Jahr und Kennzahl

en: Electricity production with photovoltaic plants by Year and Key figure

energie

display_name: energie

energy

display_name: energy

ener

de: Energie

en: Energy

de: Stromproduktion mit Fotovoltaikanlagen nach Kennzahl seit 1993

en: Electricity production with photovoltaic plants by key figure since 1993


en: Data cube in English

de: Datenstruktur auf Englisch

de: Obligatorische Krankenpflegeversicherung - Versicherte per 31. Dezember nach Jahr, Personengruppe und Geschlecht

en: Compulsory health care insurance - Insured persons as of December 31st by Year, Group of persons and Sex

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

de: Gesundheit

en: Health

de: Obligatorische Krankenpflegeversicherung - Versicherte per 31. Dezember nach Personengruppe seit 2001

en: Compulsory health care insurance - Insured persons as of December 31st by group of persons since 2001


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Personenwagenbestand nach Stichtag, Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

de: Personenwagenbestand nach Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

de: Bauvolumen bei Bewilligungsquartal, Art der Bauwerke und Art der Arbeiten

en: Construction volume by Year of approval, Type of buildings and Type of work

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Bauvolumen nach Art der Bauwerke und Art der Arbeiten seit 2015

en: Construction volume by type of buildings and type of work since 2015


en: Data structure in German

de: Familienhaushalte mit ledigen Kindern unter 25 Jahren nach Stichtag, Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 25 years by Reference date, Type of family, Number of children, Size of household and Municipality

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Familienhaushalte mit ledigen Kindern unter 25 Jahren nach Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 25 years by type of family, number of children, size of household and municipality


de: Datenstruktur auf Englisch

en: Data structure in English

de: Einzelbasis - Verwaltete Vermögen und Neugeldzufluss nach Jahr und Verwaltete Vermögen / Neugeldzufluss

en: Individual basis - Assets under management and new money inflow by Year and Assets under management / New money inflow

banken

display_name: banken

banking-institutions

display_name: banking-institutions

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Einzelbasis - Verwaltete Vermögen und Neugeldzufluss seit 2017

en: Individual basis - Assets under management and new money inflow since 2017


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Einzelbasis - Forderungen gegenüber Kunden und Hypothekarforderungen nach Jahr, Bilanzposition und Deckungsart

en: Individual basis - Claims against clients and mortgage loans by Year, Balance sheet item and Type of collateral

de: Einzelbasis - Forderungen gegenüber Kunden und Hypothekarforderungen nach Deckungsart seit 2017

en: Individual basis - Claims against clients and mortgage loans by type of collateral since 2017


en: Data cube in German

de: Kennzahlen der Gemeinderatswahlen nach Jahr, Kennzahl und Gemeinde

en: Key figures on municipal council elections by Year, Key figure and Municipality

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

amt-fuer-statistik-fl

de: Amt für Statistik

de: Kennzahlen der Gemeinderatswahlen nach Gemeinde seit 1975

en: Key figures on municipal council elections by municipality since 1975


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

de: Heiratende Personen bei Jahr, Geschlecht, Land der Trauung und Wohngemeinde

en: Marrying persons by Year, Sex, Country of wedding and Municipality of residence

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Heiratende Personen nach Geschlecht, Land der Trauung und Wohngemeinde seit 1999

en: Marrying persons by sex, country of wedding and municipality of residence since 1999


en: Data structure in German

de: Ständige Bevölkerung nach Stichtag, Hauptsprache, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Main language, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Ständige Bevölkerung nach Hauptsprache, Geschlecht und Gemeinde

en: Permanent resident population by main language, sex and municipality


de: Datenstruktur auf Englisch

en: Data structure in English

de: Bauprojekte nach Bewilligungsjahr, Kategorie der Arbeiten, Art der Verfahren und Gemeinde

en: Construction projects by Year of approval, Category of work, Type of procedures and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Bauprojekte nach Kategorie der Arbeiten, Art der Verfahren und Gemeinde seit 2010

en: Construction projects by category of work, type of procedures and municipality since 2010


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Bevölkerungsbilanz nach Szenario, Kennzahl und Jahr

en: Population changes by Scenario, Indicator and Year

bevolkerungsszenarien

display_name: bevolkerungsszenarien

population-scenarios

display_name: population-scenarios

de: Bevölkerungsbilanz nach Szenario und Kennzahl von 2023 bis 2060

en: Population changes by Scenario and Indicator from 2023 to 2060


en: Data cube in German

de: Erleichterte Einbürgerung infolge Eheschliessung nach Jahr, Vormalige Staatsbürgerschaft und Geschlecht nach Jahr, Vormalige Staatsbürgerschaft und Geschlecht

en: Facilitated naturalisation due to marriage by Year, Former citizenship and Sex

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

intr

de: Internationale Themen

en: International issues

amt-fuer-statistik-fl

de: Amt für Statistik

de: Erleichterte Einbürgerung infolge Eheschliessung nach vormaliger Staatsbürgerschaft und Geschlecht seit 1987

en: Facilitated naturalisation due to marriage by former citizenship and sex since 1987


de: Datenwürfel auf Englisch

de: Datenstruktur auf Deutsch

de: Gebäude nach Jahr, Anzahl Wohneinheiten und Gemeinde

en: Buildings by Year, Number of housing units and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Gebäude nach Anzahl Wohneinheiten und Gemeinde seit 2010

en: Buildings by number of dwellings and municipality since 2010


en: Data structure in German

de: Fahrzeugbestand nach Stichtag, Fahrzeuggruppe/-art und Gemeinde

en: Licensed vehicles by Reference date, Vehicle group/ type and Municipality

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

amt-fuer-statistik-fl

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Fahrzeugbestand nach Fahrzeuggruppe/-art und Gemeinde seit 2013

en: Licensed vehicles by vehicle group/ type and municipality since 2013


de: Datenstruktur auf Englisch

en: Data structure in English

de: Erwerbstätige ständige Bevölkerung nach Jahr, Wirtschaftszweig, Staatsbürgerschaft und Geschlecht

en: Permanent resident population in gainful employment by Year, Economic activity, Citizenship and Sex

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Erwerbstätige ständige Bevölkerung nach Wirtschaftszweig, Staatsbürgerschaft und Geschlecht seit 2006

en: Permanent resident population in gainful employment by economic activity, citizenship and sex since 2006


en: Data cube in English

de: Datenwürfel auf Deutsch

de: Alle Versicherungsarten - Betriebsrechnung in CHF nach Jahr, Kennzahl und Versicherungsart

en: All types of insurance - Profit and loss accounts in CHF by Year, Key figure and Type of insurance

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

de: Gesundheit

en: Health

de: Alle Versicherungsarten - Betriebsrechnung in CHF nach Kennzahl und Versicherungsart seit 2001

en: All types of insurances - Profit and loss accounts in CHF by key figure and type of insurance since 2001


en: Data cube in German

de: Baukosten bei Bewilligungsquartal, Art der Bauwerke und Art der Arbeiten

en: 381.501 Construction costs by Year of approval, Type of buildings and Type of work

amt-fuer-statistik-fl

de: Amt für Statistik

de: Baukosten nach Art der Bauwerke und Art der Arbeiten seit 2015

en: 381.501 Construction costs by type of buildings and type of work since 2015


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

de: Einnahmen aus umweltbezogenen Abgaben bei Jahr und Abgabenkategorie

en: Revenue from environmental related levies by Jahr and Levies category

environmental-levies

display_name: environmental-levies

umweltabgaben

display_name: umweltabgaben

envi

de: Umwelt

en: Environment

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Einnahmen aus umweltbezogenen Abgaben nach Abgabenkategorie seit 1997

en: Revenue from environmental related levies by levies category since 1997


en: Data structure in German

de: Warenhandel nach Jahr, Warenart, Richtung und Einheit

en: Trade in goods by Year, Nature of goods, Traffic direction and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

amt-fuer-statistik-fl

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Warenhandel nach Warenart und Richtung 1995 bis 2019

en: Trade in goods by nature of goods and traffic direction 1995 to 2019


de: Datenstruktur auf Englisch

en: Data structure in English

de: Einzelbasis - Zinskonditionen (Jahresdurchschnitt) nach Jahr und Kredit / Anlage

en: Individual basis - Interest rate conditions (annual average) by Year and Loan / Investment

banking-interests

display_name: banking-interests

bankzinsen

display_name: bankzinsen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Einzelbasis - Zinskonditionen (Jahresdurchschnitt) für die Aufnahme von Krediten und die Anlage von Geldern in CHF in Liechtenstein seit 1980

en: Individual basis - Interest rate conditions (annual average) for borrowing and investing funds in CHF in Liechtenstein since 1980


en: Data cube in English

de: Datenwürfel auf Deutsch

de: Scheidende Personen bei Jahr, Geschlecht und Altersklasse

en: Divorcing persons by Year, Sex and Age group

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Scheidende Personen nach Geschlecht und Altersklasse seit 1999

en: Divorcing persons by sex and age group since 1999


en: Data cube in German

de: Kennzahlen der Fliessgewässer bei Jahr, Standort und Kennzahl

en: Key figures on rivers by Year, Location and Key figure

wasser

display_name: wasser

water

display_name: water

amt-fuer-statistik-fl

de: Amt für Statistik

de: Kennzahlen der Fliessgewässer nach Messstandort und Kennzahl seit 1988

en: Key figures on rivers by location and key figure since 1988


de: Datenwürfel auf Englisch

de: Datenstruktur auf Deutsch

de: Vermögenspositionen (Privathaushalte) bei Jahr, Kennzahl und Vermögensposition

en: Wealth positions (private households) by Year, Key figure and Wealth positions

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

en: Office of Statistics

de: Vermögenspositionen (Privathaushalte) seit 2020

en: Wealth positions (private households) since 2020