aerosol-data-davos-wolfgang

title_for_slug: aerosol-data-davos-wolfgang

en: raclets ice-nucleation drincz particles inp aerosol

en: SMPS Dataset Davos Wolfgang

en: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity), in a temporal resolution of 2 minutes, with time in UTC, measured at Davos Wolfgang.

mimetype: application/x-netcdf

en: DRINCZ Dataset Davos Wolfgang

en: The DRINCZ file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en: APS Dataset Davos Wolfgang

en: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Davos Wolfgang.

en: OPC-N3 Dataset Davos Wolfgang

en: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

en: OPC GT-526S Dataset Davos Wolfgang

en: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.

Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0).

Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³).

Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³).

Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

drincz

display_name: drincz

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

particles

display_name: particles

raclets

display_name: raclets

en: Aerosol Data Davos Wolfgang


maintainer: EnviDat Support

en: extreme-events drought precipitation multi-year-drought chelsa megadrought potential-evapotranspiration

state: active

type: dataset

media_type: application/pdf

en: Technical documentation document including the variable names, units, scaling, offset, and background.

format: PDF

en: Standardized Precipitation Index (SPI)

en: Global monthly layers of the Standardized Precipitation Index (SPI) a 30 arcsec (~1km) spatial resolution

format: SERVICE

en: Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts.

format: XLS

en: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/24° (~5km) spatial resolution

en: Standardised Precipitation Evapotranspiration Index (SPEI)

en: Global monthly layers of the Standardized Precipitation Evapotranspiration Index (SPEI) a 30 arcsec (~1km) spatial resolution

en: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/12° (~10km) spatial resolution

en: Multiyear meteorological droughts (MYMD) statistics - Description

en: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD) statistics".

en:
Multiyear meteorological droughts (MYMD10) statistics
Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts, and the anomalies in kNDVI

en: Multiyear meteorological droughts (MYMD10) statistics - Description

en: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD10) statistics".

en: Kernel Normalized Difference Vegetation Index Anomaly (QKNDVI)

en: Global annual layers of the the kernel normalized difference vegetation index anomaly (qkndvi) at a 1/12° (~10km) spatial resolution.

en:
The dataset consists of the standardized precipitation (SPI) and the standardized precipitation evapotranspiration index (SPEI) index with a 30 arcsec (~1km) horizontal resolution.
Data for precipitation rates (pr) and potential evapotranspiration (pet) are taken from CHELSA V2.1 (https://doi.org/10.16904/envidat.228.v2.1). Both data sets are monthly time series from 1980 to 2018 at 30 arcsec. and have the unit of kg m-2 month-1. SPEI is a more reliable measure of drought than SPI as it additionally considers the effect of potential evapotranspiration. Potential evapotranspiration (pet) is the amount of water per area per time that can evaporate at the soil surface or be transpired by plants in absence of water supply limitations. SPEI effectively estimates for a given location how the climatic water balance, i.e., the difference between precipitation rate (pr) and potential evapotranspiration (pet), relates to the long-term mean. Here, pet was calculated with the Penman-Montheith approach, assuming surface conductance of a reference crop of 12 cm height following the definition of the Food and Agriculture Organization of the United Nations (FAO), originating from CHELSA-BIOCLIM+ database (https://www.doi.org/10.16904/envidat.332). To obtain global time series of SPEI, in each pixel the frequency distribution of water balance estimates (pr-pet) is approximated with a log-logistic probability distribution function. We calculate monthly SPEI using a 12-month memory and approximate the parameters of the log-logistic probability distribution based on the time series from 1980-2018. Such a 12-month time window is suitable to capture long-term drought events that are long enough to impose substantial impacts on agriculture, hydrology, and ecosystems while ones at shorter time scales would be more appropriate to detect short-term drought. For each month, SPEI is calculated considering the respective water-balance value and the values of the eleven preceding months. Here we use SPEI-12 in December to represent the overall water-balance condition of the respective year. The resulting SPEI data has a horizontal resolution of 130 arcsec (~1km). The calculation of SPI and SPEI is done in R with the package SPEI (https://www.doi.org/10.32614/CRAN.package.SPEI).

chelsa

display_name: chelsa

drought

display_name: drought

extreme-events

display_name: extreme-events

megadrought

display_name: megadrought

multi-year-drought

display_name: multi-year-drought

potential-evapotranspiration

display_name: potential-evapotranspiration

precipitation

display_name: precipitation

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: High resolution global standardized drought indices


maintainer: Christian Rixen

en: fertilization tree-rings nitrogen-isotope treeline stillberg dwarf-shrubs

en: Metadata Nutrient Addition Stillberg Experimental Design

media_type: image/png

en: Nutrient addition map of the study area with the investigated plots. Each circle (study block) contains one control plot and two plots that received NPK fertilizer corresponding to 15 (NPK15) or 30 (NPK30) kg N ha-1 a-1. Contour lines specify the elevation (m a.s.l.) in steps of 10 m.

format: PNG

en: Project Description Nutrient Addition Stillberg

media_type: text/html

en: Link to Nutrient Addition project description on the WSL website (in German).

format: HTML

en: Data Nutrient Addition Stillberg

en: This link leads to the figshare repository, which contains all nutrient addition data.

en:
 Background information

The availability of nitrogen (N) and phosphorus (P) is considered to be a major factor limiting growth and productivity in terrestrial ecosystems globally. This project aimed to determine whether the growth stimulation documented in previous short‐term fertilisation trials persisted in a longer‐term study (12 years) in the treeline ecotone, and whether possible negative effects of nutrient addition offset the benefits of any growth stimulation.
Over the course of the 12 study years, NPK fertiliser corresponding to 15 or 30 kg N ha−1 a−1 was added annually to plots containing 30‐year‐old *Larix decidua* or 32‐year-old *Pinus uncinata* individuals with an understorey of mainly ericaceous dwarf shrubs. To quantify growth, annual shoot increments of trees and dwarf shrubs as well as radial growth increments of trees were measured. Nutrient concentrations in the soil were also measured and the foliar nutritional status of trees and dwarf shrubs was assessed.

 Experimental design

Over an elevation gradient of 140 m across the treeline afforestation site Stillberg, 22 locations were chosen that covered the whole range of microenvironmental conditions (*see* Nutrient addition experimental design.png). Half of the blocks included European larch (*L. decidua*) and the other half included mountain pine (*P. uncinata*). Within each block, three plantation quadrats were randomly selected as experimental plots and each plot was assigned to a control (no fertilisation) or to one of two fertiliser dose treatments (15 kg and 30 kg N ha−1 a−1). Treatments were assigned randomly but confined so that the location of fertilised plots within a block was not directly above control plots to avoid nutrient input from drainage. For details about the experiment, *see* Möhl et al (2019).

 Data description

The available datasets contain climate variables (2004-2016), nutrient isotope measurements (2010 & 2016), shrub growth measurements (2004-2016), soil parameter measurements and annual ring and shoot measurements (2004-2016). All data can be found here:
<https://figshare.com/articles/dataset/Twelve_years_of_low_nutrient_input_stimulates_growth_of_trees_and_dwarf_shrubs_in_the_treeline_ecotone/7025858>

dwarf-shrubs

display_name: dwarf-shrubs

fertilization

display_name: fertilization

nitrogen-isotope

display_name: nitrogen-isotope

stillberg

display_name: stillberg

tree-rings

display_name: tree-rings

treeline

display_name: treeline

en: Nutrient addition experiment at the Alpine treeline site Stillberg, Switzerland


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

en: Forest station data (LEB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Site photo of the forest station (LEB)

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

mimetype: image/jpeg

en: Data plot of the forest station (LEB)

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

mimetype: application/pdf

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Lens in Switzerland which is located within a natural coniferous forest with Scots pine (_Pinus sylvestris_; 150-170 yrs)) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lens is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


en: arctic antarctica ice sea-salt-aerosol snow

en: Code

en: Matlab code to read and plot the data

en: Fig 1E

media_type: text/plain

en: Data to Figure 1E

format: TXT

mimetype: text/plain

en: Fig 1F_1

en: Individual data to mean shown in Figure 1F

en: Fig 1B_2

en: Individual data to mean shown in Figure 1B

en: Fig 1F

en: Data to Figure 1F

en: Fig 1D

en: Data to Figure 1D

en: Read Me

en: Description of the data tables

en: Fig 1A

en: Data Figure 1A

en: Fib 1B_3

en: Fig 1C

en: Data to Figure 1C

en: This table lists all data files in chronological order. "SampleTemp" refers to the reading of the PT-1000 at the side of the sample holder. "cellPressure" is the water vapour pressure during the measurements. From this, in presence of ice, the temperature of the ice sample can be calculated which is given in the column "iceTemp". "dT" is the difference, or temperature offset, between sensor's reading and the ice samples temperature. The offset is due to the sensor being mounted away from the cooled spot of the sample were it experiences heating from warmer parts of the sample holder. The off-set is used to calibrate the temperature sensor and the resulting temperature during the experiments is given in the column "temperature". "relHum" is the relative humidity above (supercooled) liquid and "concBrine" is the concentration of a NaCl solution in mol/l in equilibrium with ice at the experimental temperature. "Area" is the integrated PE signal.

en: Fig 1B

en: Data in Figure 1B

en: Table 2

en: This table lists all NEXAFS data files in chronological order with PE carbon to oxygen signal intensity ratios -from which the atomic ratio were calculated in the paper - before ("preCtoO") and after ("postCtoO") each NEXAFS measurement. Also listed is the change in Na ("lossSodi"), O ("lossOxy"), Cl ("lossChlor"), and C ("lossCarb") signal intensity after the NEXAFS measurement compared to prior to the NEXAFS measurement.

en: Fig 1B_1

en: Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.

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: Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy


maintainer: Martin Schneebeli

en: snow-cast 3d-model weak-layer new-snow snow 3d-print rounded-snow depth-hoar

en: Description of snowtypes, filenames and other metadata

en: This file contains information about the stl-files of the different snow models. Snowtype (Schneeart), International Snow Classification, preview picture, notes about the origin of the snow, filename of the stl-data, and physical size of the model are given.

en: Snow models in STL-format

media_type: application/zip

en: The zipped file contains all data described in the file 3d_snow_models_metadata. The stl-files should be ready for additive manufacturing.

format: ZIP

en: The dataset contains several snow models in the Standard Tesselated Geometry File Format (stl) for 3D visualization, printing and additive manufacturing. Different snow types are available (new snow, rounded snow, depth hoar, buried surface hoar, graupel).

depth-hoar

display_name: depth-hoar

new-snow

display_name: new-snow

rounded-snow

display_name: rounded-snow

snow

display_name: snow

snow-cast

display_name: snow-cast

weak-layer

display_name: weak-layer

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal


maintainer: Michael Lehning

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

en: HS Fluela spring 2015

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

en: HS Martell spring 2015

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

en: Fluela .smet

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

en: HS Fluela autumn 2015

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

en: Martell .sno

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

en: Martell .smet

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

en: HS Martell autumn 2015

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

en: Fluela .sno

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

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

The data set contains for each site:

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

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

Input files for SNOWPACK model:

* .sno: snow profile at the end of winter

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

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

snow-conservation

display_name: snow-conservation

snow-farming

display_name: snow-farming

snowpack

display_name: snowpack

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

winter-tourism

display_name: winter-tourism

en: Snowfarming data set Davos and Martell 2015


en: nfi-photos online-questionnaire-survey visual-attractiveness adults-and-teenagers perception-of-ecosystem-services

en: Dataset in csv-format

en: Questionnaire French

en: Questionnaire German

en: Codebook to SPSS-file

en: Questionnaire Italian

en: SPSS-Dataset

en: This questionnaire survey was conducted as an online survey and aimed at investigating the relationship between physical forest characteristics, visual attractiveness of forest and the perception of ecological and cultural ecosystem services in urban forests. Each participant was shown 6 photos out of a pool of 50 photos taken from the Swiss National Forest Inventory (NFI) database. Physical forest characteristics were derived from the photos. The study was conducted as part of the "WaMos meets LFI" (WML) project.

adults-and-teenagers

display_name: adults-and-teenagers

nfi-photos

display_name: nfi-photos

online-questionnaire-survey

display_name: online-questionnaire-survey

perception-of-ecosystem-services

display_name: perception-of-ecosystem-services

visual-attractiveness

display_name: visual-attractiveness

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Relationship between physical forest characteristics, visual attractiveness and perception of ecosystem services in urban forests


en: snow-ice-temperature snow-water-equivalent weisfluhjoch snow-stratigraphy snow-density

en: WFJ Snow Profiles 1999-2014

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

mimetype: application/zip

en: README

en: README file giving use metadata.

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


maintainer: Avalanche Warning Service SLF

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

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


maintainer: Yael Frischholz

en: alpine snow-transport photovoltaic preferential-deposition renewable-energy

en: Browse simulation files

en:
This file contains the snowBedFoam simulations carried out to produce the results presented in: _article not published yet_.
 Content
 1. /simulations
Groups all simulations folders organised by parameter (azimuth, groupsize, height, interspace) and by type of experiment (single_ref, group_ref).
 2. /simulations/[parameter]/
For each parameter multiple simulations were carried out. Each simulation folder follows the same naming systematic:
`helioplant_n#_h#_ARL#_BL#_az#_windDir#`
- n: number of Helioplant units
- h: height-above-surface
- sp: regular distance between the units
- ARL: additional refinement level
- BL: boundary layer first cell height
- windDir: wind direction
- stag: staggered arangement (suffix)
Here is an example of a folder content for a specific parameter
(simulations/azimuth/):
- `helioplant_n9_h07_sp10_ARL45_BL0015_az30_windDir5`: following the naming systematic this folder corresponds to a simulation with 9 aligned Helioplant units with 0.7m of height-above-surface, an inter-unit distance of 10m an azimuth of 30° and a wind direction of 5°.
 3. /simulations/[parameter]/[helioplant_n#_h#_ARL#_BL#_az#_windDir#]
Each simulation folder contains multiple sub-folders (0/, 100/, 300/, constant/ etc.) and files that define the experiment. For each simulation, the files used in the processing [scripts] are the following:
- 0/Cx: contains the x coordinates of sampling grid cells and of the Helioplants structures.
- 0/Cy: contains the y coordinates of sampling grid cells and of the Helioplants structures.
- 300/kinematicCloud-massCheckPatterns: contains the snow mass distribution values [kg/m2] for each grid cell.

[scripts]: https://github.com/frischwood/snowbed-helio.git

en:
This dataset groups numerical simulation outputs and validation measurement data produced in the context of the following [publication]: _not published yet_
The snow transport model [snowBedFoam] was used to analyse snow deposition around a specific type of Alpine PV structures named HELIOPLANT®.
The results of a sensitivity analysis of multiple key parameters that govern the spatial organisation of these structures are provided here. Measurements of snow distribution taken from the test-site of the [Gondosolar] project, are provided too.

To reproduce the results of the aforementioned publication, follow the instructions on this [repository].
[publication]: https://
[snowBedFoam]: https://www.doi.org/10.16904/envidat.223
[Gondosolar]: https://www.gondosolar.ch
[repository]: https://github.com/frischwood/snowbed-helio.git

alpine

display_name: alpine

photovoltaic

display_name: photovoltaic

preferential-deposition

display_name: preferential-deposition

renewable-energy

display_name: renewable-energy

snow-transport

display_name: snow-transport

en: Drifting and blowing snow distribution around structures for Alpine PV applications


maintainer: Elisabeth Hafner

en: reliability avalanche avalanche-mapping avalanche-size-estimation remote-sensing

en: AvalancheReliabilityData

en: The .zip contains all data used to conduct the reliability study as well as the results, a detailed description of the included files is contained in the included pdf. All geospatial data is provided in the Swiss Coordinate System: CH1903+ / LV95 (EPSG 2056). For any use of the data the proper citation provided is obligatory!

mimetype: application/x-zip-compressed

en:
This dataset contains the data used and collected to investigate the reliability of avalanche size estimates and avalanche outlines (see related publications). Namely this is

 Avalanche size estimates

* the 10 pictures depicting avalanches
* the survey results from the 170 participants

 Avalanche outlines mapped from oblique photographs
* the pictures of the six avalanches
* the avalanche outlines mapped by the 10 participants
* the reference mapped from the georeferenced photographs

 Avalanche outlines from remotely-sensed imagery
* the orthophotos in the four different resolutions (2m, 1m, 50cm, 25cm)
* the area of interest (AoI) delimiting the research area
* the avalanche mappings in each resolution for all five participants
* the shade masks used to separate illuminated and shaded areas

The acquisition of the orthophotos has been partially supported by the Swiss National Science Foundation (SNF; Grant N°200021_172800).

avalanche

display_name: avalanche

avalanche-mapping

display_name: avalanche-mapping

avalanche-size-estimation

display_name: avalanche-size-estimation

reliability

display_name: reliability

remote-sensing

display_name: remote-sensing

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Data reliability study: avalanche size estimates and outlines


en: bioenergy review biogas switzerland manure

en: Production de biogaz à partir d’engrais de ferme en Suisse

en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


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

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.

en: This dataset includes mean concentrations of solutes (Calcium, Iron, Magnesium, Sodium, Potassium, Silicon, 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 Erlenbach catchment and its close vicinity in Switzerland during Spring and Fall 2021. Detailed information is available in the accompanying documentation (documentation_for_the_hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_catchment.pdf).

en: The dataset contains hydrochemical data collected from spring to fall 2021 in the Erlenbach 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 seven 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

erlenbach

display_name: erlenbach

groundwater

display_name: groundwater

hydrogen-isotopes

display_name: hydrogen-isotopes

oxygen-isotopes

display_name: oxygen-isotopes

precipitation

display_name: precipitation

solutes

display_name: solutes

stream-water

display_name: stream-water

en: Hydrochemical Data Collected during Spring-Fall 2021 in the Erlenbach Catchment


maintainer: Virginie Marques

en: marine marseille mediterraneaen fish-composition edna teleo

en: Data access

en: Please use cyberduck to download for the moment

en:
Description: Fish environmental DNA data set collected in 2022 in the Calanques National Park
The eDNA samples were collected in 2022 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the winter (January- February), 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 account for 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 2022


en: alan ecosystem-services sustainability outdoor-lighting artificial-lighting

en: Raw data for flying insects NMDS analysis

en: R code for NMDS of flight-active insects

format: OCTET

en: Raw data for flying insects and ground-dwelling arthropod combined analysis

en: R code of flight-active insects analysis.

en: Raw data for ground-dwelling arthropod NMDS analysis

en: Raw data Moran's I test

en: Raw data for flying insects analysis

en: R code for PERMANOVA Analysis of flight-active insects.

en: Raw data for ground-dwelling arthropod analysis

en: R code for NMDS of ground-dwelling arthropods

en: R code of flight-active and ground-dwelling arthropod combined analysis.

en: R code for PERMANOVA Analysis of ground-dwelling arthropods.

en: R code of ground-dwelling arthropod analysis.

en: Raw data and R Code to do all the analysis performed for the paper "Advancing sustainable LED solutions to mitigate light-pollution impacts on arthropods". Including data for both flight-active insects and ground-dwelling arthropods combined (PT_TRF_all.csv), flight-active insects alone (ALANeX_PT_all_clean_control.csv) and ground-dwelling insects alone (ALANeX_TRF_all_clean_control.csv). For the NMDS analysis, there is a data set for the flight-active insects (ALANeX_PT_NMDS.csv) and the ground-dwelling arthropods (ALANeX_TRF_NMDS.csv). For the Morans I use the 'ALANeX_MoransI.csv' dataset.

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

ecosystem-services

display_name: ecosystem-services

outdoor-lighting

display_name: outdoor-lighting

sustainability

display_name: sustainability

educ

en: Education, culture and sport


maintainer: Stephan Zimmermann

en: potassium calcium biogeochemical-cycling fagus-orientalis-lipsky magnesium

en: Concentrations of Ca, Mg, K, and Na in throughfall, litterflow and soil solution of a Hyrcanian forst in Northern Iran

en:
Throughfall, litterflow and soil solution were sampled during one whole year under five Oriental beech trees in a mixed Hyrcanian beech forest. The amounts of Ca2+, Mg2+, K+ and Na+ in these fluxes were calculated based on their concentrations and the sampled volumes, and subsequently compared with the respective fluxes in the rainfall and soil solution of an adjacent forest gap.
In addition six soil profiles, one close to every single tree and one in the forest gap, were analyzed for pH, CaCO3, organic matter and texture.

biogeochemical-cycling

display_name: biogeochemical-cycling

calcium

display_name: calcium

fagus-orientalis-lipsky

display_name: fagus-orientalis-lipsky

magnesium

display_name: magnesium

potassium

display_name: potassium

envidat

en: EnviDat: the Environmental Data Portal

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

en: Base cation dynamics in an Oriental beech forest


maintainer: Michael Eisenring

en: european-beech insect-herbivores alan phytochemistry light-pollution

en: Raw_data_Ceppi et al..xlsx

en: Raw data for the Publication Ceppi et al. 2025 in Journal of Applied Ecology: ARTIFICAL NIGHT LIGHT INTENSITY MODULATES HERBIVORY AND PHYTOCHEMISTRY IN EUROPEAN BEECH

en: Raw data on plant morphological traits, phytochemistry and herbivory that were analyzed in the study entitled: Artificial night light intensity modulates herbivory and phytochemistry in European beech

european-beech

display_name: european-beech

insect-herbivores

display_name: insect-herbivores

light-pollution

display_name: light-pollution

phytochemistry

display_name: phytochemistry

en: Raw data - Artificial night light intensity modulates herbivory and phytochemistry in European beech


figures-perspective-urban-beekeeping

maintainer: Joan Casanelles

title_for_slug: figures-perspective-urban-beekeeping

en: diversity-distributions hymenoptera wildbees urban-beekeeping urban-ecology insects

en: Local overheating values within 3 buffers in hives in Zurich

en:
The dataset contains the average overheating values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 4 columns:
- buffer: indicating the spatial scale
-ID: hive ID (annonymised)
- mean.overwarming: mean overheating value, expressed in degrees Kelvin
-mena.overwarming.cor = transformed values do degrees Celsius

en: Coordinates studied cities

en: Coordinates (LatLon format) of the cities where data from urban bee ecology studies was used.

en: R script for the figures V2

en: R script for the figures

en: NDVI values within 3 buffers  in hives in Zurich

en:
The dataset contains the average NDVI values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 3 columns_
- buffer: indicating the spatial scale
- ID: hive ID (annonymised)
- mean.NDVI: mean NDVI value

en: Data rank-abundance distribution urban bees

en: Outdated, use the new resource

en: Distribution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich) and Paris.

en: Proportion urban honeybees and wildbees

en:
The dataset contains the proportion of wildbees and honeybees in the different studies obtained from the literature review.
Article_ID: ID for each article
DOI
Authors
Year: publication year
Duration sampling (years): numerical
Start_sampling: numerical, date
End_sampling: numerical, date
Continent
Country
N. cities: number of cities sampled in the article. Numerical.
City
Sampling type: categorical. Levels: active (e.g., Hand-netting); passive (e.g., pantraps. trap-nests); both (combination of passive and active methods).
Sampling methodology: categorical. Levels: direct observations, hand-netting, pantraps, interception traps, vane traps.
Number sites: total number of study sites.
Abundance honeybees: number of honeybees recorded
Abundance wild bees: number of wildbees recorded
Total bees: total number of bees recorded.
Proportion honeybees: Abundance of honeybees / Total number of bees
Proportion wildbees: Abundance of wildbees / Total number of bees

en: Proportion honeybees and wildbees

en: Outdated, use the new resource "Propotion urban honeybees and wildbees"

en: DEPRECATED. Distirbution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich).

en: Species-abundance data

en:
Abundance data at the species level per used dataset for the rank abundance distribution (RAD).
40 datasets used.

en: DEPRECATED. Data growth urban beekeeping

en: Data growth urban beekeeping

en:
The dataset contains the data of the growth of urban beekeeping in different cities.
For each city in a given year, it contains the following:
Continent.
Country.
City: the name of the city
Year: the year when the information was collected
Area: of the city
Total N. beekeepers: when available, the estimated number of beekeepers in that city for that given year
Total N. hives: when available, the estimated number of beehives in that city for that given year
Density: the total number of hives divided by the city area
Reference: the source of the information.

en: Results literature review

en:
 The file shows the results from the literature review. Briefly, we searched papers using google scholar search engine using the following query: (“WILD BEE OR WILDBEE”)(“URBAN” OR “CITY”), and limited the time span from 2010-2023. The search query returned 200 candidate papers. In addition, we complemented the candidate papers from the literature research performed by Ferrari & Polidori (2022), adding 22 additional candidate papers. To select papers, we checked that (1) were conducted in urban areas; (2) sampled the whole bee community; (3) provided data on abundance of wildbees; (4) provided data on honeybees; and (5) provided individual abundance data of each wild bee species.
The dataset contains the following:
-Article_ID: ID for the specific article in the form "A1", "A2"..."An"
- Title: of the article
- Year: of publication
- Journal: of publication
- Publisher:
- Link: link to the publication
- DOI: when applicable
- Total abundance wild bees reported: was the total number of collected bees reported? Logical (Y/N)
- Honey bee abundance reported: was thenumber of honeybees collected reported? 	Logical (Y/N)
- Abundance per wild bee species: was the number of wildbee species sampled provided? Logical (Y/N)
- Select proportion: paper selected to calculate the proportion of honeybees and wildbees.
- Select RAD: paper selected to compute the rank-abundance distribution diagram
Comment: comments on the papers, data availability, etc.

en: R script for the figures V1

en: Deprecated version of the R script

en:
Data and code from the perspective paper "When honeybees comes to town"
The .r file provides the code to generate the figures.
In addition, this repository contains the data for the figures 1-3.
For Figure 4, part of the data is confidential, Please, refer to the contacts provided:
- For the distribution of hives in Zurich (2018): https://www.zh.ch/de/gesundheitsdirektion/veterinaeramt.html
- For the overheating map of Zurich: Prof. Dr. Eberhard Parlow / Stadt Zurich (https://www.zh.ch/de/umwelt-tiere/umweltschutz/umweltpraxis/definitionsseite/2012/68/zup068_2012_a0030_klimaanalyse-pdf.html)

diversity-distributions

display_name: diversity-distributions

hymenoptera

display_name: hymenoptera

insects

display_name: insects

urban-beekeeping

display_name: urban-beekeeping

urban-ecology

display_name: urban-ecology

wildbees

display_name: wildbees


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

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: Data plot of the field station (NOF)

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

en: Site photo of the forest station (NOB)

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

en: Site photo of the field station (NOF)

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

en: Field station data (NOF)

en: Data file.

en: Data plot of the forest station (NOB)

en: Forest station data (NOB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

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


maintainer: Christoph Marty

en: Dataset

en: Datasets are grouped under experiment "Aare" and "Graubunden".Data is also made available in netCDF format. A range of tools are available to [read netCDF](http://www.unidata.ucar.edu/software/netcdf/software.html).

en: Graubunden input

en: Grid input data for the 'Graubunden' CH2014 simulation.

mimetype: application/x-tar

en: CH2014 REPORT

en:
CH2014-Impacts: Toward Quantitative Scenarios of Climate Change Impacts in Switzerland

The CH2014-Impacts report presents the results of a concerted effort of 15 Swiss research institutions to describe impacts of climate change in Switzerland quantitatively. This dataset contributes to the Crosphere/Snowcover section.

en: Aare input

en: Grid input data for the 'Aare' CH2014 simulation.

en:
 Overview

The CH2014-Impacts initiative is a concerted national effort to describe impacts of climate change in Switzerland quantitatively, drawing on the scientific resources available in Switzerland today. The initiative links the recently developed Swiss Climate Change Scenarios CH2011 with an evolving base of quantitative impact models. The use of a common climate data set across disciplines and research groups sets a high standard of consistency and comparability of results. Impact studies explore the wide range of climatic changes in temperature and precipitation projected in CH2011 for the 21st century, which vary with the assumed global level of greenhouse gases, the time horizon, the underlying climate model, and the geographical region within Switzerland. The differences among climate projections are considered using three greenhouse gas scenarios, three future time periods in the 21st century, and three climate uncertainty levels (Figure 1). Impacts are shown with respect to the reference period 1980-2009 of CH2011, and add to any impacts that have already emerged as a result of earlier climate change.

 Experimental Setup

Future snow cover changes are simulated with the physics-based model Alpine3D (Lehning et al., 2006). It is applied to two regions: The canton of Graubünden and the Aare catchment. These domains are modeled with a Digital Elevation Model (DEM) with a resolution of 200 m × 200 m. This defines the simulation grid that has to be filled with land cover data and downscaled meteorological input data for each cell for the time period of interest at hourly resolution. The reference data set consists of automatic weather station data. All meteorological input parameters are spatially interpolated to the simulation grid. The reference period comprises only thirteen years (1999–2012), because the number of available high elevation weather stations for earlier times is not sufficient to achieve unbiased distribution of the observations with elevation. The model uses projected temperature and precipitation changes for all greenhouse gas scenarios (A1B, A2, and RCP3PD) and CH2011 time periods (2035, 2060, and 2085).

 Data

Snow cover changes are projected to be relatively small in the near term (2035) (Figure 5.1 top), in particular at higher elevations above 2000 m asl. As shown by Bavay et al. (2013) the spread in projected snow cover for this period is greater between different climate model chains (Chapter 3) than between the reference period and the model chain exhibiting the most moderate change. In the 2085 period much larger changes with the potential to fundamentally transform the snow dominated alpine area become apparent (Figure 5.1 bottom). These changes include a shortening of the snow season by 5–9 weeks for the A1B scenario. This is roughly equivalent to an elevation shift of 400–800 m. The slight increase of winter precipitation and therefore snow fall projected in the CH2011 scenarios (with high associated uncertainty) can no longer compensate for the effect of increasing winter temperatures even at high elevations. In terms of Snow Water Equivalents (SWE), the projected reduction is up to two thirds toward the end of the century (2085). A continuous snow cover will be restricted to a shorter time period and/or to regions at increasingly high elevation. In Bern, for example, the number of days per year with at least 5 cm snow depth will decrease by 90% from now 20 days to only 2 days on average.

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

en: Alpine3D simulations of future climate scenarios CH2014


en: energy snow mountain albedo photovoltaic reflection irradiance

en: PV Data

en: Windows users use the 7-zip app to extract the zip-file.

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow


en: air-temperature orographic-precipitation climate-change cmip5 precipitation-amount

en: Data Access

en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.

CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: High resolution monthly precipitation and temperature timeseries for the period 2006-2100


maintainer: James W. Kirchner

en: system-identification impulse-response-function transfer-function nonlinear-deconvolution arma-noise time-series-analysis greens-function de-mixing irf deconvolution irfnnhsr

en: Impulse Response Function script

en: README file for IRFnnhs.R and benchmark demonstration scripts

en: Benchmark demonstration scripts and results

en:
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.

Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.

arma-noise

display_name: arma-noise

de-mixing

display_name: de-mixing

deconvolution

display_name: deconvolution

greens-function

display_name: greens-function

impulse-response-function

display_name: impulse-response-function

irf

display_name: irf

irfnnhsr

display_name: irfnnhsr

nonlinear-deconvolution

display_name: nonlinear-deconvolution

system-identification

display_name: system-identification

time-series-analysis

display_name: time-series-analysis

transfer-function

display_name: transfer-function

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: Impulse response functions for nonlinear nonstationary and heterogeneous systems


snow-drift-station-snow-and-air-data

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-snow-and-air-data

en: raclets snow temperature snow-depth snow-height snow-temperature

en: Air Temperature

en: The air temperature (°C) was measured with a Campbell CS-215 which was mounted at a height of 2.2 m above ground. The time is given in UTC+1.

en: Relative Humidity

en: The relative humidity (%) was measured with a Campbell CS-215 at a height of 2.2 m above ground. The time is given in UTC+1.

en: Snow Depth

en: The snow depth (cm) was measured with a Lufft SHM-31 which was mounted at 1.7 m above ground. The time is given in UTC+1.

en: Snow Surface Temperature

en: The snow surface temperature (°C) was measured with a Campbell SI-111 at 0.7 m above ground. The time is given in UTC+1.

en: Snow and air data was monitored at Gotschnagrat (LON: 46.859 LAT: 9.849) by an infrarot radiometer (Campbell SI-111) for snow temperature (°C), a snow height sensor (Lufft SHM-31) for snow height change (cm) and a temperature and humidity sensor (Campbell CS-215) for air temperature (°C) and relative humidity (%). No filter was applied to the sensors and the smapling frequency was 1 Hz.

raclets

display_name: raclets

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-temperature

display_name: snow-temperature

temperature

display_name: temperature

en: Snow Drift Station - Snow and Air Data


en: ice-nucleation biological-particles fluorescent-particles dust-particles diurnal-variability aerosol-cloud-interactions

en: Figure 2.xlsx

en: This file contains data presented in Figure 2 in the main text.

en: Figure 4.xlsx

en: This file contains data presented in Figure 4 in the main text.

en: Figure 3.xlsx

en: This file contains data presented in Figure 3 in the main text.

en: Figure 7.xlsx

en: This file contains data presented in Figure 7 in the main text.

en: Data for figures in the Supplementary.xlsx

en: This file contains data presented in Figure S2 to S36 in the supplementary.

en: Figure 5.xlsx

en: This file contains data presented in Figure 5 in the main text.

en: Figure 6.xlsx

en: This file contains data presented in Figure 6 in the main text.

en: Figure 1.xlsx

en: This file contains data presented in Figure 1 in the main text.

en:
This repository contains all observational data sets during CALISHTO campaign used for the paper: Gao, K., Vogel, F., Foskinis, R., Vratolis, S., Gini, M. I., Granakis, K., Zografou, O., Fetfatzis, P., Berne, A., Papagiannis, A., Möhler, O., Eleftheridadis, K., and Nenes, A.: On the drivers of ice nucleating particle diurnal variability in Eastern Mediterranean clouds, npj Climate and Atmospheric Science, Preprint link: https://www.researchsquare.com/article/rs-4378562/v1.
CALISHTO campaign was conducted between 12 October and 27 November 2021 to observe ice nucleating particles and aerosol properties at the Helmos Hellenic Atmospheric Aerosol and Climate Change station in Eastern Mediterranean, to understand cloud-aerosol interactions. To evaluate the spatial-temporal variabilities and characteristics of ice nucleating particles, a high-time resolution ice nucleation spectrometer was employed and different online aerosol property measurements were conducted in-situ, including particle number concentration, particle size distribution, particle fluorescent properties, and particle chemical composition. In addition, planetary boundary layer conditions at the observation site were determined by remote sensing techniques employed at a lower site.

aerosol-cloud-interactions

display_name: aerosol-cloud-interactions

biological-particles

display_name: biological-particles

diurnal-variability

display_name: diurnal-variability

dust-particles

display_name: dust-particles

fluorescent-particles

display_name: fluorescent-particles

ice-nucleation

display_name: ice-nucleation

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: CALISHTO campaign dataset for the publication On the Drivers of Ice Nucleating Particle Diurnal Variability in Eastern Mediterranean Clouds


gebaude-nach-eigentumertyp-und-gemeinde

maintainer: Amt für Statistik

title_for_slug: gebaude-nach-eigentumertyp-und-gemeinde

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Deutsch

en: Data structure in German

media_type: application/json

format: JSON

de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Englisch

en: Data structure in English

de: Gebäude nach Stichtag, Eigentümertyp und Gemeinde

en: Buildings by Reference date, Type of owner and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

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: Gebäude nach Eigentümertyp und Gemeinde

en: Buildings by type of owner and municipality


de: Wohneinheiten nach Stichtag, Belegungsstatus, Zimmerzahl, Wohnungsfläche, Gebäudeart und Gemeinde

en: Housing units by Reference date, Occupancy status, Number of rooms, Useful floor space, Type of building and Municipality

de: Wohneinheiten nach Belegungsstatus, Zimmerzahl, Wohnungsfläche, Gebäudeart und Gemeinde

en: Housing units by occupancy status, number of rooms, useful floor space, type of building and municipality


de: Erstzugelassene Personenwagen bei Jahr, Marke und Mittlere Kennzahlen

en: Passenger cars registered for the first time by Year, Make and Average key figures

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 Marke sowie mittlere Kennzahlen (Leergewicht, Hubraum, Leistung, CO2-Emission, Verhältnis Leistung/Leergewicht)

en: Passenger cars registered for the first time by make and average key figures (unladen weight, cylinder capacity, engine power, CO2 emission, ratio engine power/unladen weight)


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

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: Datenwürfel auf Deutsch

en: Data cube in German

de: Bauprojekte bei Bewilligungsquartal, Art der Arbeiten, Art der Bauwerke und Gemeinde

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

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: Bauprojekte nach Art der Arbeiten, Art der Bauwerke und Gemeinde seit 2015

en: Construction projects by type of work, type of buildings and municipality since 2015


de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Bevölkerungsbewegung nach Jahr, Wohnsitz und Kennzahl bei Jahr, Wohnsitz und Kennzahl

en: Population change by Year, Place of residence and Key figure by Year, Place of residence and Key figure by Year, Place of residence and Key figure

bevolkerungsbewegung

display_name: bevolkerungsbewegung

population-change

display_name: population-change

de: Bevölkerungsbewegung der ständigen Bevölkerung nach Wohnsitz seit 2011

en: Population change of the permanent population by place of residence since 2011


de: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Fläche und Gemeinde

en: Construction area of the building projects (in thousand square metres) by Year of approval, Type of work, Type of area and Municipality

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: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) nach Art der Arbeiten, Art der Fläche und Gemeinde seit 2010

en: Construction areas of the building projects (in thousand square metres) by type of work, type of area and municipality since 2010


de: Schulpersonal (in VZÄ) in Liechtenstein nach Jahr, Universität, Personalkategorie und Geschlecht

en: School staff (in full-time equivalent) in Liechtenstein by Year, University, Category of staff and Sex

de: Schulpersonal (in VZÄ) in Liechtenstein nach Studienjahr, Universität, Personalkategorie und Geschlecht seit 2010/2011

en: School staff (in full-time equivalent) in Liechtenstein by Year, University, Category of staff, and Sex since 2010/2011


de: Ehescheidungen von Männern bei Jahr und Ehedauer

en: Divorces of males by Year and Duration of marriage

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Ehescheidungen von Männern nach Ehedauer seit 1999

en: Divorces of men by duration of marriage since 1999


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Erwerbstätige Bevölkerung nach Stichtag, Gegenwärtiger Beruf, Heimat, Geschlecht und Fünfjahresklassen

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

de: Erwerbstätige Bevölkerung nach gegenwärtigem Beruf, Heimat, Geschlecht und Fünfjahresklassen


de: Datenstruktur auf Englisch

de: Landwirtschaftliche Förderleistungen bei Jahr, Beitragstyp und Kennzahl

en: Agricultural contributions by Year, Contribution type and Key figure

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Landwirtschaftliche Förderleistungen nach Beitragstyp seit 2010

en: Agricultural contributions by contribution type since 2010


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

en: Data structure in English

de: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 nach Jahr, Transaktion und Institutioneller Sektor

en: Generation of income 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: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 nach Sektor

en: Generation of income account at current prices 1998 - 2013 by institutional sector


de: Durchschnittlicher Bruttomietpreis nach Stichtag, Zimmerzahl der Wohnungen und Gemeinde

en: Average gross rent by Reference date, Number of rooms and Municipality

mietpreise

display_name: mietpreise

rental-prices

display_name: rental-prices

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: Durchschnittlicher Bruttomietpreis nach Zimmerzahl der Wohnungen und Gemeinde

en: Average gross rent by number of rooms and municipality


de: Strompreise für Haushalte und Kleingewerbe bei Stichtag, Tarif, Preiskategorie und Jährlicher Stromverbrauch

en: Electricity prices for households and small businesses by Reference date, Rate, Price category and Annual electricity consumption

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und jährlicher Stromverbrauch seit 2016

en: Electricity prices for households and small businesses by reference date, rate, price category and annual electricity consumption since 2016


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Erwerbstätige Bevölkerung nach Stichtag, Hauptverkehrsmittel, Arbeitsgemeinde und Wohngemeinde

en: Population in gainful employment by Reference date, Main mean of transport, Place of work and Municipality of residence

passenger-transport

display_name: passenger-transport

personenverkehr

display_name: personenverkehr

tran

de: Verkehr

en: Transport

de: Erwerbstätige Bevölkerung nach Hauptverkehrsmittel für den Arbeitsweg, Arbeitsgemeinde und Wohngemeinde

en: Population in gainful employment by main mean of transport, place of work and municipality of residence


de: Datenstruktur auf Englisch

de: Migration bei Jahr, Richtung, Staatsbürgerschaft, Geschlecht und Altersklasse

en: Migration by Year, Direction, Citizenship, Sex and Age group by Year, Direction, Citizenship, Sex and Age group

migration-binnenwanderung

display_name: migration-binnenwanderung

migration-internal-migration

display_name: migration-internal-migration

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

fr: Questions internationales

de: Internationale Themen

en: International issues

it: Tematiche internazionali

de: Migration nach Richtung, Staatsbürgerschaft, Geschlecht und Altersklasse seit 2011

en: Migration by direction, citizenship and age group since 2011


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

en: Data structure in English

de: Internes F+E-Personal bei Jahr, Sektor, Tätigkeit und Kennzahl

en: Internal R+D personnel by Year, Sector, Function and Key figure

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: Internes F+E-Personal nach Sektor, Tätigkeit, Geschlecht und Staatsbürgerschaft seit 2019

en: Internal R+D personnel by sector, function, sex and citizenship since 2019


de: Ergebnisse der Landtagswahlen bei Jahr, Kennzahl, Partei und Wahlkreis

en: Results of parliamentary elections by Year, Key figure, Political party and Constituency

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

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: Ergebnisse der Landtagswahlen nach Wahlkreis und Partei seit 1945

en: Results of parliamentary elections by constituency and political party since 1945


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Abschlüsse der Sekundarstufe II in Liechtenstein bei Jahr, Profil und Geschlecht

en: Graduates at secondary school level II in Liechtenstein by Year, Profile and Sex

schools

display_name: schools

schulen

display_name: schulen

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Abschlüsse der Sekundarstufe II in Liechtenstein nach Profil und Geschlecht seit 2011

en: Graduates at secondary school level II in Liechtenstein by profile and sex since 2010/2011


de: Datenstruktur auf Englisch

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

de: Ständige Bevölkerung nach Hauptsprache, Geschlecht und Gemeinde

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


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Jahr, Schwerpunkt, Geschlecht und Wohnland

en: Graduates at vocational baccalaureate school by Year, Focus, Sex and Country of residence

further-education

display_name: further-education

weiterbildung

display_name: weiterbildung

de: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Schwerpunkt, Geschlecht und Wohnland seit 2015

en: Graduates at vocational baccalaureate school Liechtenstein by focus, sex and country of residence since 2015


en: Data structure in English

de: Migration nach Jahr, Richtung, Heimat, Herkunfts- bzw. Zielland, Geschlecht und Wohngemeinde bei Jahr, Richtung, Heimat, Herkunfts- bzw, Geschlecht und Wohngemeinde

en: Migration by Year, Direction, Citizenship, Country of origin / Country of destination, Sex and Municipality of residence by Year, Direction, Citizenship, Country of origin / Country of destination, Sex and Municipality of residence

intr

de: Internationale Themen

en: International issues

de: Migration nach Richtung, Herkunfts- bzw. Zielland, Geschlecht, Wohngemeinde und Heimat seit 2011

en: Migration by direction, country of origin/country of destination, sex, municipality of residence and citizenship since 2011


de: Produktionskonto zu laufenden Preisen 1998 - 2013 nach Jahr, Transaktion und Wirtschaftsbereich

en: Production account at current prices 1998 - 2013 by Year, Transaction and Economic activity

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: Produktionskonto zu laufenden Preisen 1998 – 2013 nach Wirtschaftsbereich

en: Production account at current prices 1998 - 2013 by economic activity


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Stellensuchende bei Jahr, Geschlecht und Monat

en: Persons seeking employment by Year, Sex and Month

arbeitslosigkeit

display_name: arbeitslosigkeit

unemployment

display_name: unemployment

de: Stellensuchende nach Geschlecht und Monat seit 2000

en: Persons seeking employment by sex and month since 2000


de: Datenstruktur auf Englisch

de: Wegpendelnde bei 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: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Strompreise für Haushalte und Kleingewerbe bei Stichtag, Tarif, Preiskategorie und Jährlicher Stromverbrauch

en: Electricity prices for households and small businesses by Reference date, Rate, Price category and Annual electricity consumption

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices

ener

de: Energie

en: Energy

de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und jährlicher Stromverbrauch von 2007 bis 2015

en: Electricity prices for households and small businesses by reference date, rate, price category and annual electricity consumption from 2007 to 2015


en: Data structure in English

de: Erwerbstätige Bevölkerung nach Stichtag, Wirtschaftszweig, Geschlecht und Arbeitsstunden pro Woche

en: Population in gainful employment by Reference date, Branch of economic activity, Sex and Working hours per week

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

de: Erwerbstätige Bevölkerung nach Wirtschaftszweig, Geschlecht und Arbeitsstunden

en: Population in gainful employment by branch of economic activity, sex and working hours


de: Heizölpreise (Jahresdurchschnitt) bei Jahr und Bezugsmenge

en: Heating oil prices (annual average) by Year and Quantity purchased

de: Heizölpreise (Jahresdurchschnitt) nach Bezugsmenge seit 1997

en: Heating oil prices (annual average) by quantity purchased since 1997


de: Beschäftigte nach Jahr, Voll-/ Teilzeit, Wirtschaftszweig, Wohnsitz und Geschlecht

en: Persons employed by Year, Part-/ full-time, Economic activity, Place of residence and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: Beschäftigte nach Voll-/ Teilzeit, Wirtschaftszweig, Wohnsitz und Geschlecht seit 2008

en: Persons employed by part-/ full-time, economic activity, place of residence and sex since 2008


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Indikatoren der Eheschliessungen nach Jahr und Kennzahl bei Jahr und Kennzahl

en: Marriage Indicators by Year and Key Figure by Year and Key Figure

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Indikatoren der Eheschliessungen seit 1999

en: Marriage indicators since 1999


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Baukosten (in Mio. CHF) bei 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


en: Data structure in English

de: Einwohner und Erwerbstätige im Jahresmittel 1998 - 2013 by Jahr and Einwohner und Erwerbstätige

en: Average population and employed persons 1998 - 2013 by Year and Population and employed persons


de: Erstzugelassene Fahrzeuge bei Jahr, Fahrzeuggruppe/-art und Monat

en: Vehicles registered for the first time by Year, Vehicle group/ type and Month

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

de: Erstzugelassene Fahrzeuge nach Fahrzeuggruppe/-art und Monat

en: Vehicles registered for the first time by vehicle group/ type and month


de: Ständige Bevölkerung ab 15 Jahren nach Stichtag, Anzahl Kinder, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by Reference date, Number of children, Citizenship, Sex and Age group

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

de: Ständige Bevölkerung ab 15 Jahren nach Anzahl Kindern, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by number of children, citizenship, sex and age group


de: Bauvolumen (in Tsd. Kubikmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde

en: Construction volume (in thousand cubic metres) by Year of approval, Type of work, Type of clients, Type of buildings and Municipality

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: Bauvolumen (in Tsd. Kubikmeter) nach Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde seit 2010

en: Construction volume (in thousand cubic metres) by type of work, type of clients, type of buildings and municipality since 2010


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Einwohner und Erwerbstätige im Jahresmittel seit 2013 bei Jahr und Einwohner und Erwerbstätige

en: Average population and employed persons since 2013 by Year and Population and employed persons

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden bei 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

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


en: Data structure in English

de: Lebendgeborene bei Jahr, Geburtsland und Wohngemeinde der Mutter

en: Live births by Year, Country of birth and Municipality of residence

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Lebendgeborene nach Geburtsland und Wohngemeinde der Mutter seit 1999

en: Live births by country of birth and mothers municipality of residence since 1999


de: Erstzugelassene Personenwagen bei Jahr, Marke und Monat

en: Passenger cars registered for the first time by Year, Make and Month

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Marke und Monat

en: Passenger cars registered for the first time by make and month


de: Ausgaben Staat bei Jahr, Funktion und Art

en: Government expenditure by Year, Function and Kind

offentliche-finanzen

display_name: offentliche-finanzen

public-finance

display_name: public-finance

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Ausgaben Staat nach Funktion und Art seit 2011

en: Government expenditure by function and kind since 2011


de: Weinernte bei Jahr und Sorte | Gemeinde

en: Wine harvest by Year and Type of wine | Municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: Weinernte nach Sorte und Gemeinde since 1954

en: Wine harvest by type of wine and municipality since 1954


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

de: Erstzugelassene Industriefahrzeuge bei Jahr, Gesamtgewichtsklasse, Fahrzeugart, Marke und Leistungsklasse

en: Industrial vehicles registered for the first time by Year, Maximum gross weight class, Type of vehicle, Make and Engine power class

de: Erstzugelassene Industriefahrzeuge nach Gesamtgewichtsklasse, Fahrzeugart, Marke und Leistungsklasse

en: Industrial vehicles registered for the first time by maximum gross weight class, type of vehicle, make and engine power class


en: Data structure in English

de: Fachliche Einheiten und Erwerbstätige seit 2013 bei Jahr, Einheiten und Erwerbstätige und Sektor und Wirtschaftsbereich

en: Kind of activity units and employed persons since 2013 by Year, Units and employed persons and Institutional sector and economic activity

de: Fachliche Einheiten und Erwerbstätige seit 2013 nach Sektor und Wirtschaftsbereich

en: Kind of activity units and employed persons since 2013 by institutional sector and economic activity


de: Berufsunfallversicherung: Beschäftigte, Lohnsumme, Unfälle und Leistungen in % nach Jahr, Wirtschaftszweig und Kennwerte der Risikodaten

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

de: Berufsunfallversicherung: Beschäftigte, Lohnsumme, Unfälle und Leistungen in % nach Wirtschaftszweig seit 2008


de: Lebendgeburten bei Staatsbürgerschaft des Vaters und Jahr

en: Live births by Father's citizenship and Year

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Lebendgeborene nach Staatsbürgerschaft des Vaters seit 1999

en: Live births by fathers citizenship since 1999


de: Betriebe mit Nutztieren und Nutztierbestand bei Jahr, Kennzahl, Tierkategorie und Grössenklasse | Zone | Region

en: Holdings with livestock and livestock by Year, Key figure, Animal category and Size class | zone | region

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

amt-fuer-statistik-fl

de: Amt für Statistik

de: Betriebe mit Nutztieren und Nutztierbestand nach Tierkategorie, Grössenklasse, Zone und Region seit 2005

en: Holdings with livestock and livestock by animal category, size class, zone and region since 2005


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

de: Datenwürfel auf Englisch

de: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Jahr, Studienland, Fächergruppe, Geschlecht und Exemensstufe

en: Graduates form Liechtenstein at universities by Year, Country of study, Fields of study, Sex and Level of graduation

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

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: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Examensstufe, Fächergruppe, Studienland und Geschlecht seit 2014

en: Graduates from Liechtenstein at universities by level of graduation, fields of study, country of study and sex since 2014


de: Datenstruktur auf Englisch

en: Data structure in German

en: Data cube in German

en: Data cube in English

de: Konsolidiert - Konsolidierte Indikatoren bei Jahr, Indikator und Bereich

en: Consolidated - Consolidated indicators by Year, Indicator and Area

econ

en: Economy and finance

de: Konsolidiert - Konsolidierte Indikatoren nach Bereich seit 2017

en: Consolidated - Consolidated indicators by area since 2017


en: Data structure in English

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

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

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

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


de: Fiskal- und Steuereinnahmen bei Rechnungsjahr und Quote in % des BIP

en: Public revenue and tax revenue by Fiscal year and Quota in % of GDP

steuern-abgaben

display_name: steuern-abgaben

taxes-levies

display_name: taxes-levies

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Fiskal- und Steuereinnahmen nach Quote in % des BIP und Rechnungsjahr seit 1998

en: Public revenue and tax revenue by quota in % of GDP and fiscal year since 1998