en: unconfined-compression-experiments discrete-element-modelling microstructure spherical-model-snow 3d-ct-images snow-mechanics

en: Data Structure (Python Notebook)

en: Data Access

en:
For the investigation of microstructural and mechanical properties of snow unconfined compression experiments and 3D computed tomography (CT) imaging were performed on sintered rounded grain snow and spherical model snow. The spherical model snow was generated to create geometrically simplified, well-defined microstructures for calibration of numerical models, such as discrete element models (DEM) in which the microstructure is represented by spherical particles.
In the experiments, microstructural variation was created by varying the sintering time (contact size) and the density of the ice sphere samples (number of contacts). The 3D CT images allow for a complete reconstruction of the entire experimental sample (cylindrical sample dimension: diameter = 33.6 mm; height = 14 mm).

discrete-element-modelling

display_name: discrete-element-modelling

microstructure

display_name: microstructure

snow-mechanics

display_name: snow-mechanics

spherical-model-snow

display_name: spherical-model-snow

unconfined-compression-experiments

display_name: unconfined-compression-experiments

en: Unconfined compression experiments and 3D CT images of spherical model snow and RG snow samples


maintainer: Yves Bühler

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

state: active

type: dataset

en:
- DSM (10 cm resolution)
- Ortho (3 cm resolution)
- HS (10 cm resolution)
- original RGB drone images
- Agisoft Metashape Processing Report

All products are also available as a cloud optimized geotiff.

format: SERVICE

en: To map and assess snow depth on different dates, 9 flights were conducted in the winter season of 2020/21 at the Latschüelfurgga in Davos. The data was captured with a Sony RX1R II mounted on a Wingtra drone and was processed with the Agisoft Metashape software. High-resolution DSMs, orthomosaics and snow height rasters, as well as the original RGB images from each flight are available.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

uav

display_name: uav

wingtra

display_name: wingtra

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: Photogrammetric Drone Data Latschuelfurgga


maintainer: Christoph Marty

en: snowfall hydrology snow water-cycle climate-change-impacts

en: Synthesis report chapter

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: DORA Persistent URL

en:
This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). An important feature of snow cover is the fact that its volume and duration is subject to large year-to-year fluctuations. As frozen precipitation, snow cover is nothing other than a natural water reservoir that delays precipitation to runoff and is thus of outstanding importance for the seasonal water balance in Switzerland. Over a whole year, approximately 40% (22 km3) of the annual runoff currently comes from snow melting and only 1% from glacier melting. Typically, the snow cover in the Alpine region builds up over the autumn and winter months, reaches its maximum between February and May, depending on the altitude, and dominates the runoff processes during melting in the following spring and summer months.
Due to the great dependence on minus temperatures and precipitation, the snow cover reacts sensitively to temperatures above 0° Celsius and more or less precipitation. Due to climate change and the associated warming, the proportion of precipitation that falls as snow decreases measurably. In addition to this reduction in snowfall, the warmer temperatures also cause the snow cover to melt more quickly. The decline in snowfall has so far mainly affected lower altitudes, where winter temperatures often reach positive levels.
As climate change progresses, this trend is likely to continue and above all affect higher zones. Even at higher altitudes, the snow cover will then start later, melt away earlier and is increasingly no longer permanently present. This development will also have an effect on the water bodies. Today nival regimes, i.e. regimes shaped by snow, are shifting towards pluvial regimes, i.e. regimes dominated by rain. Overall, winter runoff increases, summer runoff decreases. By the end of the century, the proportion of runoff from snowmelt will decrease throughout Switzerland, albeit to a lesser extent than the proportion from glacier melt.

climate-change-impacts

display_name: climate-change-impacts

hydrology

display_name: hydrology

snow

display_name: snow

snowfall

display_name: snowfall

water-cycle

display_name: water-cycle

en: Snow and the water cycle in a changing climate


maintainer: Valentina Vitali

en: pfynwald tree-ring-cellulose isotopes tree-rings dendrochronology scots-pine pinus-sylvestris

media_type: text/csv

en: Isotope measurements of tree-level tissues for the vegetative season 2019.

format: CSV

en: Read me file.docx

en:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). This dataset includes measure tree-ring width and tree-ring isotope chronologies (stable isotope ratios of non-exchangeable hydrogen δ2H, oxygen δ18O, and carbon δ13C), for the Pfynwald experiment, including control trees, irrigation and irrigation-stop treatments until the year 2019.

This dataset contains all data on which the following publication below is based.
Please cite this paper together with the citation for the datafile.

dendrochronology

display_name: dendrochronology

isotopes

display_name: isotopes

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

scots-pine

display_name: scots-pine

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-rings

display_name: tree-rings

en: Pfynwald 2019 - Dendrochronological and tree-ring isotope dataset


maintainer: EnviDat Support

en: douglas-fir norway-spruce climate-change european-beech drought

en: This file contains the growth data of the 8 plant species used in the Doch-WO experiment.

format: XLS

en: This data is related to the publication "Non-native Douglas fir seedlings outcompete native Norway spruce, silver fir and Scots pine under dry and nutrient-poor conditions". It contains growth and biomass data on Douglas fir seedlings in competition with three native conifers and four native broadleaf trees over three years und varying environmental conditions (i.e., water, nutrients and light availabilities).

climate-change

display_name: climate-change

douglas-fir

display_name: douglas-fir

drought

display_name: drought

european-beech

display_name: european-beech

norway-spruce

display_name: norway-spruce

en: Data on Douglas fir seedlings from the DOCH-WO experiment


maintainer: Jürg Schweizer

en: avalanche-forcasting snow-avalanche avalanche-activity avalanche-size danger-level

en: Avalanche activity data

en: This data file includes data on the avalanche activity per day aggregated from the avalanche data.

mimetype: text/csv

en: Readme

en: The Readme file contains the description of the two data files.

en: Snow avalanche data

en: This data file includes data on the avalanches mapped in the region of Davos.

en:
These data include all avalanches that were mapped in the region of Davos, Switzerland during the winters 1998-1999 to 2018-2019 (21 years), in total 13,918 avalanches, and the corresponding forecast danger level valid on the day of avalanche occurrence, 3533 days and danger ratings in total.

This avalanche activity data set was analysed and results published by Schweizer et al. (2020). They found that the
number of avalanches per day strongly increased with increasing danger level, but avalanche size was poorly related to avalanche danger level.

The data are provided in two files: the first includes the avalanche data (13,918 records); the second includes the avalanche activity per day (3533 records).
Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A. and Reuter, B., 2020. On the relation between avalanche occurrence and avalanche danger level. The Cryosphere, 14, 737-750, https://doi.org/10.5194/tc-14-737-2020.

avalanche-activity

display_name: avalanche-activity

avalanche-forcasting

display_name: avalanche-forcasting

avalanche-size

display_name: avalanche-size

danger-level

display_name: danger-level

snow-avalanche

display_name: snow-avalanche

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Snow avalanche data Davos, Switzerland, 1999-2019


chelsacanaryclim-climatologies

title_for_slug: chelsacanaryclim-climatologies

en: air-temperature climatologies climate precipitation canaries

en: CHELSACanaryClim-climatologies: Daily Mean Near-Surface Air Temperature

en:
Daily Mean Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSACanaryClim-climatologies: Daily Maximum Near-Surface Air Temperature

en:
Daily Maximum Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en:
Precipitation
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSACanaryClim-climatologies: Daily Minimum Near-Surface Air Temperature

en:
Daily Minimum Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en:
CHELSACanaryClim is a high-resolution, terrain-informed downscaling model developed specifically for the Canary Islands. It builds on the CHELSA v1.2 framework and integrates extensive local meteorological station data to refine temperature and precipitation estimates. The model incorporates high-resolution elevation data (down to 5 m), planetary boundary layer height, and ERA-Interim reanalysis inputs to simulate fine-scale climatic variation in mountainous island terrain.
CHELSACanaryClim-climatologies is a very-high resolution climate dataset generated with the CHELSACanaryClim downscaling model. It consists of monthly climatologies of air-temperatures and precipitation.

air-temperature

display_name: air-temperature

canaries

display_name: canaries

climate

display_name: climate

climatologies

display_name: climatologies

precipitation

display_name: precipitation

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: CHELSACanaryClim-climatologies


en: dendrochronology network-analysis tree-ring beech dendroecology fagus-sylvatica

media_type: text/plain

en:
This dataset contains the raw ring-width and climate data (1952-2020) used in the research article "No future growth enhancement expected at the northern edge for European beech due to continued water limitation".
RW= ring width
Year= Calendar year
CN = core number
ID3= plot identifier
longitude = longitude (°)
latitude = latitude (°)
elevation = elevation (m)
age= estimated age in calendar year
radius= estimated radius in calendar year (mm)
MAT= mean annual temperature (°C)
MAP= mean annual precipitation (mm)
MCWB= mean climatic water balance (P-PET; mm)
amplitude= simple continentality measure (July - January mean maximum temperatures)
MATspline1 and 2, MCWBspline1 and 2, radiusspline4 and 5= natural spline transformed values of MAT, MCWB and radius ns(x,2)
CWD_pMay_Jun= Climatic Water Balance of previous year May to June !!!#please note CWD here is NOT Climatic Water Deficit, this was a labeling error in the creation of the dataset headers
CWD_May_Jun= Climatic Water Balance of current year May to June
Tmax_pMay_Jun= mean monthly maximum temperature of previous year May to June
Tmax_May_Jun= mean monthly maximum temperature of current year May to June
weight = site replication-based weighting input for model
SOM= membership of regional cluster 1-8 based on Supervised Organized Mapping

format: TXT

en:
R code to run the model behind the results of the research article "No future growth enhancement expected at the northern edge for European beech due to continued water limitation".
Requires beech_rawtrw.txt.

format: OCTET

en: Model output

en: Output of the Mixed-effects model

en: This dataset contains the raw ring-width and climate data (1952-2020), as well as the R code to run the model and the model output used in the research article "No future growth enhancement expected at the northern edge for European beech due to continued water limitation".

beech

display_name: beech

dendrochronology

display_name: dendrochronology

dendroecology

display_name: dendroecology

fagus-sylvatica

display_name: fagus-sylvatica

network-analysis

display_name: network-analysis

tree-ring

display_name: tree-ring

en: European Beech tree-ring dataset 1952-2020


maintainer: Armin Sigmund

en: backward-trajectories lagrangian-analysis evaporation stable-water-isotopes snow-sublimation antarctica isotopic-distillation

en: Data

en: Modeled data including the data shown in the figures of the related research article

en: Readme

en: Meta data

en: Model code

media_type: application/zip

en: Model Sublimation and Model Air Parcel (python scripts)

format: ZIP

en: Python scripts for data visualization

en: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

en:
 Summary

This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.

 Main model characteristics

The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.

 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.

 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.

 References

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6

Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic


en: avalanche-mapping new-snow avalanche climate-change hazard ramms

en:
To assess the possible consequences of potential changes in snow accumulation and temperature and their impact on avalanche hazard, we introduce a comprehensive multi-step framework. It includes the analysis of climate change scenarios as well as the modeling of future snow covers and the simulation of avalanches in a case study region in central Switzerland.
Using a downscaling and a quantile mapping approach, we considered the high emission RCP8.5 from the CH2018 Swiss climate change scenarios and simulated a potential snow cover of more than 100 future winters with the snow cover model SNOWPACK. Changing snow accumulation and snow cover temperature was taken into account for two future time frames. The changed parameters were used in the RAMMS::EXTENDED avalanche simulation software on large scale.

avalanche

display_name: avalanche

avalanche-mapping

display_name: avalanche-mapping

climate-change

display_name: climate-change

hazard

display_name: hazard

new-snow

display_name: new-snow

ramms

display_name: ramms

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: A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping


en: cosmo-wrf complex-terrain meteoswiss high-resolution numerical-simulation

en: Postprocessing

en: Postprocessing scripts to map WRF output on swiss coordinates (see Section 7 in COSMOWRFdocumentation.pdf)

mimetype: application/zip

en: WPSSetup

en: Scripts that need to be changed to compile WPS (see COSMOWRFdocumentation.pdf, Section 4)

en: COSMO-WRF documentation v1.0

en:
Gerber, Franziska; Sharma, Varun (2018). Running COSMO-WRF on very-high resolution over complex terrain. EnviDat. doi:10.16904/envidat.35

Documentation about the procedure to run COSMO-WRF

en: WPSrun

en: Scripts to run the WRF pre-processing (WPS) for COSMO-WRF simulation (see Section 5 in COSMOWRFdocumentation.pdf)

en: StaticData

en:
Scripts to process geographical/static data (see Section 3 in COSMOWRFdocumentation.pdf).
- ascii_to_bin_landuse.f90
- ascii_to_bin_soiltype.f90
- ascii_to_bin_topo_wgs84_ws2sf1.f90
- see_slopes.ncl
- soiltype_writing.py
- toposmooth_wgs84_cosmobound.ncl
- write_geogrid.o

en: MeteorologicalData

en: Scripts to process meteorological data (see Section 2 in COSMOWRFdocumentation.pdf).

en: WRFrun

en: Scripts to run COSMO-WRF simulation (see Section 6 in COSMOWRFdocumentation.pdf)

en: This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation


disdrometer-data-gotschnagrat

title_for_slug: disdrometer-data-gotschnagrat

en: visibility precipitation raclets disdrometer hydrometeors

en: Disdrometer Data Gotschnagrat

en: The zip folder contains one netCDF file per day for Gotschnagrat from February 11 to March 27 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Gotschna_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en: A laser optical disdrometer (Parsivel² , OTT Hydromet) was deployed at Gotschnagrat (LON: 9.849, LAT: 46.859) to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms. The dataset contains information on precipitation amount and type for the period of February 11 to March 27 2019 at Gotschnagrat.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility

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.


maintainer: Izabela Bujak-Ozga

en: channel water-level drainage-network dynamics erlenbach drainage catchment-data dataset data precipitation catchment

en: The dataset contains time series of water levels, precipitation measured in the two sub-catchments of the Erlenbach catchment and its vicinity during summer and autumn 2021, as well as flowing drainage network lengths calculated for these areas using the CEASE method developed by the authors. Detailed description of the dataset is provided in the documentation.

catchment

display_name: catchment

catchment-data

display_name: catchment-data

channel

display_name: channel

data

display_name: data

dataset

display_name: dataset

drainage

display_name: drainage

drainage-network

display_name: drainage-network

dynamics

display_name: dynamics

erlenbach

display_name: erlenbach

water-level

display_name: water-level

en: Short-term Drainage Density Dynamics Dataset for the Erlenbach Catchment


automatic-classification-of-avalanches

maintainer: Alec van Herwijnen

title_for_slug: automatic-classification-of-avalanches

en: localization avalanche machine-learning monitoring seismic

en:
This tar file contains classification results for two seismic geophone arrays deployed above Davos, Switzerland. The of the first array located at the Dischma Valley was used to automatically identify all seismic events produced by avalanches, whereas the classification perfomed at the second array located at the Wannengrat field site was used to identify airplanes and earthquakes.
Furthermore, this tar file also contains the median back-azimuth of all classified events at the Dischma field site.

mimetype: application/x-tar

en: This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

avalanche

display_name: avalanche

localization

display_name: localization

machine-learning

display_name: machine-learning

monitoring

display_name: monitoring

seismic

display_name: seismic

en: Automatic Classification of Avalanches


en: overland-flow runoff topsoil-interflow time-series land studibach plot alptal rainfall

en:
Time series of overland flow and topsoil interflow discharge at 14 runoff plot locations in the Studibach catchment over 27 rain events in 2022.
Format: NEAD
Metadata included in the file: latitude, longitude, data units, timezone.
Source for reading and writing NEAD format: https://www.doi.org/10.16904/envidat.187.

en:
The dataset comprises the time series of overland flow (OF) and topsoil interflow (TIF) discharges from 14 small runoff plots (1 x 3 m) over 27 rainfall events in 2022 across the Studibach in the Alptal, a typical pre-Alpine catchment in Switzerland.
The runoff plots were installed on different topographic indices and vegetation covers in order to study the spatio-temporal variability of OF and TIF.
The runoff was collected into self-made "Upwelling Bernoulli Tubes" and the water level inside these tubes was measured by pressure sensors (DCX-22-CTD, Keller Druck, Switzerland) at a 5-min resolution. The discharge was derived from the water level.
The precipitation was measured with a tipping bucket at the Erlenhöhe meteorological station and has a 10-min resolution.

alptal

display_name: alptal

land

display_name: land

overland-flow

display_name: overland-flow

plot

display_name: plot

rainfall

display_name: rainfall

runoff

display_name: runoff

studibach

display_name: studibach

time-series

display_name: time-series

topsoil-interflow

display_name: topsoil-interflow

en: Overland and topsoil interflow time series from the Studibach - summer 2022


maintainer: Thomas Wohlgemuth

en: soil-impacts biogeography forest-management pairwise-stand-comparisons biodiversity

en: headers

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: references

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

en: Baseline data

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

en: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


en: snow metamorphism stable-water-isotope 18o advection

en: Data files and read-me

en: raw data and micro-CT data available from contacts

en: Read-me

en: A short description of the data contained in the zipped-file. Recommended for reading before downloading the dataset.

mimetype: text/plain

en:
Stable water isotopes (δ18O) obtained from snow and ice samples of polar regions are used to reconstruct past climate variability, but heat and mass transport processes can affect the isotopic composition. Here we present an experimental study on the effect on the snow isotopic composition by airflow through a snow pack in controlled laboratory conditions. The influence of isothermal and controlled temperature gradient conditions on the δ18O content in the snow and interstitial water vapor is elucidated. The observed disequilibrium between snow and vapor isotopes led to exchange of isotopes between snow and vapor under non-equilibrium processes, significantly changing the δ18O content of the snow. The type of metamorphism of the snow had a significant influence on this process.
Ebner, P. P., Steen-Larsen, H. C., Stenni, B., Schneebeli, M., and Steinfeld, A.: Experimental observation of transient δ18O interaction between snow and advective airflow under various temperature gradient conditions, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-16, accepted, 2017.

advection

display_name: advection

metamorphism

display_name: metamorphism

snow

display_name: snow

stable-water-isotope

display_name: stable-water-isotope

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: Experiments on stable water isotopes,  snow metamorphism, and advection


maintainer: Franziska Gerber

en: reproducibility cryowrf antarctica blowing-snow surface-mass-balance

en: Static input data from the WRF simulations (used in the python scripts in Scripts_Reproducibility).

en: Namelist and input files and information to run the WRF and CRYOWRF simulations used in the paper.

en: Processed WRF output (run with Noah-MP land surface model) used for the analysis and the figures in the paper.

en: Processed CRYOWRF output used for the analysis and the figures in the paper.

en: Python scripts to reproduces figures in Gerber et al., 2022, revised

mimetype: application/x-zip-compressed

en: Python scripts to reproduces figures in Gerber et al., 2022, submitted.

en:
This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., submitted).

* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded from Sharma et a., 2021.
* Static_input: Static topography input file of WRF (geo_em.d01).
* WRF_27km_NoahMP: Preprocessed WRF output of the simulation run with the WRF using the surface parameterization Noah-MP to reproduce the figures and results in the paper.
* WRF_27km_CRYOWRF: Preprocessed WRF output of the simulation run with CRYOWRF to reproduce the figures and results in the paper.
* Scripts_Reproducibility: Python scripts to reproduce the figures and results in the paper.

Note:

* To run some of the scripts Atmospheric Weather station data needs to be prepared using Gerber and Lehning, 2022.
* AWS data is not provided and needs to be downloaded from the corresponding databases. Please make sure to comply with the respective terms and conditions.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

cryowrf

display_name: cryowrf

reproducibility

display_name: reproducibility

surface-mass-balance

display_name: surface-mass-balance

en: Reproducibility dataset for CRYOWRF validation


en: avalanche snowpack snow-modelling snowdrift source-code

en:
This dataset includes the FORTRAN code of the FSM2trans model version used in the paper: Quéno et al., Snow redistribution in an intermediate-complexity snow hydrology modelling framework, The Cryosphere, 2024.
The FSM2trans code is derived from the FSM2 model (Essery et al., 2015) and its variant FSM2oshd (Mott et al., 2023). In this model, we implemented and adapted the snowdrift model SnowTran-3D (Liston et al., 2007) and the avalanching model SnowSlide (Bernhardt and Schulz, 2010).
This dataset does not include the processing scripts to prepare meteorological input data for the model, provided as bin files.

avalanche

display_name: avalanche

snow-modelling

display_name: snow-modelling

snowdrift

display_name: snowdrift

snowpack

display_name: snowpack

source-code

display_name: source-code

en: FSM2trans code


maintainer: Esther Frei

en: literature-review mountain-ecology stillberg long-term-experiment treeline-ecosystems

en: The Stillberg bibliography (Stillberg_bibliography_v1.zip) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals (Stillberg_bibliography_data_v1.csv) along with the metadata file (Stillberg_bibliography_metadata_v1.csv). Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title.

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Over almost fifty years, research at the Stillberg site combined long-term monitoring of the large-scale high-elevation afforestation with experimental manipulations simulating global change impacts. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone across different compartments and scales, from individual trees, non-tree vegetation and soils to whole ecosystems, in the context of global change resulting in more than 150 publications.

 Dataset generation

We compiled a comprehensive list of scientific publications covering research at the Stillberg research site by conducting searches in the literature databases Web of Science and Google Scholar, as well as in the Digital Object Repository of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (DORA). We compiled all publications about the afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, the G-TREE experiment, as well as other studies related to the Stillberg research site.

 Data description

The Stillberg bibliography (Stillberg_bibliography_data_v1.csv) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals. Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title. The bibliography is described in a metadata file (Stillberg_bibliography_metadata_v1.csv). The bibliography along with the metadata file are provided in a ZIP-folder (Stillberg_bibliography_v1.zip).

literature-review

display_name: literature-review

long-term-experiment

display_name: long-term-experiment

mountain-ecology

display_name: mountain-ecology

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

en: Bibliography of the long-term treeline research site Stillberg, Switzerland


en: diagnostic-species phytosociology vegetation-classification typoch character-species vegetation-type

en: How the TypoCH list was modified.pdf

en: Describes details on the modification procedure to improve the TypoCH reference list.

en: TypoCH_modified list.csv

en:
The file contains the vegetation types and the modified list of diagnostic species (based on Delarze et al. (2015). The numbers indicate the weight of a species in the particular vegetation type for the calculation of the TypoCH score:
1) accompanying species -> 1 point
2) dominant accompanying species (if >10% cover in the plot) -> 2 points
3) character species -> 4 points
4) dominant character species (if >10% cover in the plot) -> 8 points

en: The TypoCH scoring system (Eggenberg & Bornand 2023), which is widely used in Switzerland, provides good results as classification method for vegetation types based on Delarze et al. (2015). However, the reference list contained species with no diagnostic value and important character species were missing. We therefore made a first attempt to modify the list based on numerical methods and expert knowledge to improve the classification success, at least for vegetation types of the open land (i.e. grasslands, fens, bogs).

character-species

display_name: character-species

diagnostic-species

display_name: diagnostic-species

phytosociology

display_name: phytosociology

typoch

display_name: typoch

vegetation-classification

display_name: vegetation-classification

vegetation-type

display_name: vegetation-type

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: Modified TypoCH reference list of diagnostic species for the classification of vegetation types in Switzerland


en: landscape-evolution endemism madagascar flora geology

en: Escarpment evolution drives the diversification of the Madagascar flora

en: This upload contains the data (species checklist, species range maps, time-calibrated phylogenies, topographic change, etc.) generated, analyzed, and presented in the paper .

en: Data v1.0

en: Although much of the endemic biodiversity of Madagascar can be attributed to its isolation as an island in the Indian Ocean, the high rates of speciation throughout its geologic history suggest an influence of local-scale landscape dynamics. The topographic evolution of Madagascar is dominated by the formation of high-relief continental rift escarpment and we argue that the erosion and landward retreat of this topography creates habitat heterogeneity that has served as a speciation pump for the island. The highest plant richness is found along the escarpment and is characterized by steady diversification rates over the last 45 Ma. Modeled landscape evolution by escarpment retreat demonstrates opportunities for allopatric speciation by transient habitat fragmentation through multiple mechanisms, including catchment expansion, isolation of highland remnants and formation of topographic and river barriers The segregation of floral phylogenetic turnover parallel to the escarpment is consistent with these mechanisms and indicates the importance of erosion-driven landscape dynamics on speciation.

endemism

display_name: endemism

flora

display_name: flora

geology

display_name: geology

landscape-evolution

display_name: landscape-evolution

madagascar

display_name: madagascar


en: alptal soil-water electrical-conductivity stable-isotopes groundwater plot rainfall topsoil-interflow studibach overland-flow

en:
This dataset contains stable isotope ratios of oxygen and hydrogen (O-18 and H-2) and electrical conductivity (EC) in overland flow (OF), topsoil interflow (TIF), soil water, groundwater, and rainwater for 12 rainfall events during the snow-free seasons of 2021 and 2022 in the Studibach catchment, Alptal, Switzerland.

Overland flow, topsoil interflow (i.e., lateral flow from the more densely rooted soil layer), soil water, and groundwater were collected at 14 small trenched runoff plots (1 x 3 m) in three subcatchments (C2, C3, C5) of the Studibach catchment. Overland flow was collected from the surface up to 2-5 cm depth and thus includes biomat flow. A trench was used to collect topsoil interflow (up to 60 cm below the surface; see Table 1 in the manuscript for details). Rainwater was collected at two locations in the Studibach catchment (in C3 and C5, respectively). Soil water was collected in between the events from suction lysimeters installed at 12.5 cm and 20 cm below the soil surface in the middle of each plot. Groundwater was collected between events from wells installed near the plots up to the soil-bedrock interface.
The water samples were analysed for the stable isotopes of oxygen and hydrogen (O-18 and H-2) using with a cavity ring-down spectroscope (CRDS; L2140-i or L2130-i, Picarro, Inc., USA) at the Chair of Hydrology at the University of Freiburg, Germany. The isotope ratios are reported in per mil (‰) relative to Vienna Standard Mean Ocean Water.

A more detailed description of the field setup, data collection and preparation can be found in Leuteritz et al. (in press).

The dataset contains in addition to the sample identifier and the site and event identifiers that are used in the publication, also the sample collection date (typically one day after the event) and the coordinates for each plot (coordinate system: WGS84). For the plots for which samples were collected with an automatic sampler (ISCO), the date and time (UTC) of sample collection are given as well.

alptal

display_name: alptal

electrical-conductivity

display_name: electrical-conductivity

groundwater

display_name: groundwater

overland-flow

display_name: overland-flow

plot

display_name: plot

rainfall

display_name: rainfall

soil-water

display_name: soil-water

stable-isotopes

display_name: stable-isotopes

studibach

display_name: studibach

topsoil-interflow

display_name: topsoil-interflow

en: Stable water isotopes and EC in overland flow, topsoil interflow, soil water, groundwater, and rainwater for 12 rainfall events in the Studibach catchment, Alptal, Switzerland


maintainer: Matthias Haeni

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

en: Data plot of the forest station (BTB)

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

en: Data file.

en: Data plot of the field station (BTF)

en: Field station data (BTF)

en: Site photo of the field station (BTF)

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

mimetype: image/jpeg

en: Site photo of the forest station (BTB)

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

en: Site aerial photo (Bettlachstock)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Bettlachstock in Switzerland where one station is located within a natural mixed forest stand (BTB) with European beech (_Fagus sylvatica_; 170-190 yrs), European silver fir (_Abies alba_; 190 yrs) and Norway spruce (_Picea abies_; 200 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Bettlachstock is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

en: data-exchange automatic-publication data-usage gcw data-portal

en: Third party data usage

en: Data interoperability survey

en: Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

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: Global Cryosphere Watch data survey


maintainer: Frank Hagedorn

en: nitrogen dissolved-organic-phosphorus forest-topsoil phosphorus zero-tension-lysimeters beech nutrient-fluxes soil-temperature seasons fertilization

en:
Data on dissolved organic and inorganic phosphorus and nitrogen concentrations in leachates and their corresponding
fluxes from the litter layer, the Oe/Oa horizon, and the A horizon of two German beech forest sites.
Leachate samples were taken in April 2018, July 2018, October 2018, Feb./Mar. 2019, and July 2019
with zero-tension lysimeters after artificial irrigation. Soil samples were taken in July 2019.
For more details please refer to the publication.

beech

display_name: beech

dissolved-organic-phosphorus

display_name: dissolved-organic-phosphorus

fertilization

display_name: fertilization

forest-topsoil

display_name: forest-topsoil

nitrogen

display_name: nitrogen

nutrient-fluxes

display_name: nutrient-fluxes

phosphorus

display_name: phosphorus

seasons

display_name: seasons

soil-temperature

display_name: soil-temperature

zero-tension-lysimeters

display_name: zero-tension-lysimeters

en: Phosphorus and nitrogen leaching from beech forest soils


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

en: green-tea modeling litter roiboos verification carbon forest decomposition tea-bag

en: Site Information

en: Descriptive information on sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

en: LWF-Tea bag sites


causal-effect-of-lup

title_for_slug: causal-effect-of-lup

en: plan-evaluation annual-effect psm-did land-use-change land-use-planning

en: causal-effect-of-lup

en:
Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities
PSM_DID.R can re-produce the results

en:
Title: Does zoning contain built-up land expansion? Causal evidence from Zhangzhou City, China.

Research objective: Built-up land zoning is an imporatant policy measure of land use planning (LUP) to contain built-up land expansion in China. We used a difference-indifference model with propensity score matching to estimate the average and annual effect of built-up land zoning on built-up land expansion in Zhangzhou City, China between 2010 and 2020.

Data: Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020.
XZQDM2 is villages' unique administrative ID;
Area is the land area of village i;
Dis2water is the Euclidean distance from village i to the nearest waterbody;
Dis2coastl is the Euclidean distance from village i to the nearest coastline;
Dis2city is the the Euclidean distance from village i to the city center;
Dis2county is the the Euclidean distance from village i to the nearest county center;
Elevation is the the average elevation within village i;
Dis2road is the the Euclidean distance from village i to the nearest road;
Nei_Built_ is the the area of built-up land (Nei Built.upit) in the neighboring villages of village i in year t;
Treated is a binary variable, Treated = 1 to the villages that were partially or entirely located inside the development-permitted zones, and Treated = 0 to the villages that were entirely located outside the development-permitted zones;
Intensity is the percentage of land that was assigned to the development-permitted zones in village i;
Year represent the year in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020;
BuLE is the dependent variable, representing built-up land expansion in village i in year t;
Town is town' unique administrative ID.

Method: First, we employed propensity score matching to overcome the selection bias and satisfy the parallel trend
assumption. Second, we built four Difference-in-Difference models to estimate the average and annual effect.

annual-effect

display_name: annual-effect

land-use-change

display_name: land-use-change

land-use-planning

display_name: land-use-planning

plan-evaluation

display_name: plan-evaluation

psm-did

display_name: psm-did

en: Causal effect of LUP


snow-drift-station-micro-rain-radar

title_for_slug: snow-drift-station-micro-rain-radar

en: rain mountain precipitation raclets snow radar

en: MRR data Period 2

en: The dataset contains measurements between March 5 and March 8, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MRR data of period 4

en: The dataset contains measurements between March 13 and March 22, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: Parameter MRR

en: The PDF contains additional information on parameters which were set for the certain time periods (time in UTC).

en: MRR data of period 3

en: The dataset contains measurements between March 8 and March 13, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MMR Data Period 1

en: The dataset contains measurements between March 1 and March 5, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: The instrument (MRR, Metek) was mounted at Gotschnagrat (LON: 46.859 LAT: 9.849) at a height of 1 m above snow surface (at the beginning of the campaign) with an orientation of 22° with respect to North and a horizontal viewing direction. The sampling time was either 5 s or 10 s, depending on the settings at the specific period. The MRR produces standard outputs like radar reflectivity, doppler velocity, etc., and additional information can be found [here](https://metek.de/de/product/mrr-2/).

mountain

display_name: mountain

precipitation

display_name: precipitation

raclets

display_name: raclets

radar

display_name: radar

rain

display_name: rain

snow

display_name: snow

educ

en: Education, culture and sport

en: Snow Drift Station - Micro Rain Radar


radiosondes

maintainer: Jörg Wieder

title_for_slug: radiosondes

en: relative-humidity pressure radiosonde wind-direction raclets temperature wind holoballoon

en: Radiosond Sounding Files

en:
The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosond Template Files

en:
The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

radiosonde

display_name: radiosonde

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

wind

display_name: wind

wind-direction

display_name: wind-direction

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: Radiosondes


en: snow-sublimation antarctica turbulence parameterization large-eddy-simulation blowing-snow drifting-snow

en: (j) Turbulence_measurements_case_1.txt

en: Post-processed high-frequency measurements used to plot turbulence cospectra (data underlying Figure S2 of the related publication). Further measurements are published in a related dataset (Sigmund et al., 2021).

en: (e) LES-LM_particles_case_1.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 1.

en: (f) LES-LM_particles_case_2.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 2.

en: (c) LES-LM_code_settings.zip

en: Simulation-specific settings (part of the LES-LM source code).

en: (d) LES-LM_main_results.zip

en: Main results of the LES-LM simulations. We do not provide the complete raw output of the simulations because of the large amount of data. For example, the three-dimensional fields of wind velocity components, air temperature and specific humidity are only provided in horizontally averaged form.

en: (g) LES-LM_particles_case_3a.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3a.

en: (a) Readme.pdf

en: Meta data for the whole dataset including a link to the LES-LM source code.

en: (i) 1D_model_code.zip

en: Source code of the 1D model (R scripts).

en: (h) LES-LM_particles_case_3b.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3b.

en: (k) Postprocessing_code.zip

en: R scripts used to post-process the results of the LES-LM model and 1D model and produce the figures.

en: (b) Data_of_figures.zip

en: Folder containing the data (csv files) visualized in figures of the related publication. The filenames specify the respective figure(s). However, data shown in Figures S5 and S6 are included in data resource (d).

en:
This dataset supports a related publication (Sigmund et al., 2025) and contains
- results of four **large-eddy simulations** (LES) coupled to a Lagrangian model (LM) for snow transport, aiming to reproduce field measurements, especially latent heat fluxes, at the S17 site near Syowa Station, East Antarctica, in conditions of drifting and blowing snow,
- references to the **source code** of the LES-LM model,
- the source code and results of a simple **one-dimensional (1D) model** inspired by the large-scale model CRYOWRF (Sharma et al., 2023), aiming to reproduce the LES-LM results,
- post-processed **measurements** shown in the figures of the related publication,
- **programming code** for post-processing and plotting the results.
The LES-LM simulations solve the Navier-Stokes equations for incompressible flows and advection-diffusion equations for air temperature and specific humidity in a domain of 19.2 x 18.32 x 18.32 m³. In these simulations, the airflow is driven by a prescribed large-scale pressure gradient. We assume that the air density is constant (1.18 kg/m³) and the snow particles have a spherical shape and a density of 918.4 kg/m³. Further methodological details are described in the related publication. The 1D model and post-processing code was created using the R software version 4.3.2 (R Core Team, 2024).
References
- Sharma, V., Gerber, F., & Lehning, M. (2023): Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling. Geosci. Model Dev. 16, 719–749. [https://doi.org/10.5194/gmd-16-719-2023](https://doi.org/10.5194/gmd-16-719-2023)
- Sigmund, A., Melo, D. B., Dujardin, J., Nishimura, K., & Lehning, M. (2025). Parameterizing snow sublimation in conditions of drifting and blowing snow. Journal of Advances in Modeling Earth Systems, 17, e2024MS004332. [https://doi.org/10.1029/2024MS004332](https://doi.org/10.1029/2024MS004332)

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

parameterization

display_name: parameterization

snow-sublimation

display_name: snow-sublimation

turbulence

display_name: turbulence

en: Modeled and measured fluxes of latent and sensible heat and snow transport at S17 near Syowa in Antarctica


maintainer: Daniel Scherrer

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

en: TreeMig Simulation Environment and Input Data

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

en: TreeMig Tutorial

en: Tutorial for using the TreeMig framework; updated

en: Description input data

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

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

bioclimatic-variables

display_name: bioclimatic-variables

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-model

display_name: forest-model

gui

display_name: gui

land-use

display_name: land-use

r-package

display_name: r-package

spatial-modelling

display_name: spatial-modelling

species-interaction

display_name: species-interaction

species-migration

display_name: species-migration

treemig

display_name: treemig

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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


en: restoration field-data urban-landscape traffic-noise forest

en: 07_Studyprotocol_Test site pictures.zip

en: This folder includes two pictures of each test site. The locations for the two pictures on each route were chosen to be as characteristic as possible in terms of the visual and acoustical impressions of the walk.

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

en: 03a_Studyprotocol_Data on evaluation of acoustic impression of the test settings_Studyprotocol.sav

en: This data file includes information for an additional post hoc classification of the sound environment of the test sites. This evaluation was conducted in the afternoons of the same week in 2023 at two locations within each test site by a civil servant who was not familiar with the study's research questions.

en: 13_P4_Data mindful walking.sav

en: This file contains data for the manuscript "Effects of a mindful walking intervention in urban forests for healthy adults".

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

en: This document includes the questionnaire for Papers 2 and 3, administered at the third measurement time point (10 days after participation on site).

en: This SPSS data file includes the data used for analysis in paper 2 (Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial) and paper 3 ("The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world: A randomized controlled trial").

en: This document includes the questionnaire for Papers 2 and 3, administered at the second measurement time point (after the walk).

en: 02_Studyprotocol_Data on Laeq from noise recordings of walking routes_Studyprotocol.sav

en: This data file contains information on the LAeq levels recorded along the final walking routes between September 2021 and March 2022, prior to the commencement of data collection.

en: 03b_Studyprotocol_Script_Analysis stationary noise evaluation.sps.sps

en: This SPSS syntax file contains a script for analyzing data related to the stationary evaluation of the acoustic impressions at the test sites, which is numbered 03a in this repository.

en: This document includes the questionnaire for Papers 2 and 3, administered at the first measurement time point (before the walk began).

en: 12_P4_S2_Description of mindful walking intervention on site.pdf

en: This file includes the guided mindful walking instructions provided to participants in the mindfulness condition during the on-site walks.

en: 06_Studyprotocol_GPS tracks of the walking routes.zip

en: This folder contains the GPS tracks of the walking routes in the test sites.

en: 09_P2_Fotos Noise ROS paper.zip

en: This folder included the example pictures of the conditions included in paper 2 ("Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial“).

en: 11_P4_S1_Instructions for individual mindful walking.pdf

en: This document contains the booklet with instructions for mindful walking, which participants in the mindfulness condition were encouraged to take with them and use during their individual walks over the 10 days following on-site participation.

en: 01_Studyprotocol_Locations of the starting points of the walking routes in the test settings.pdf

en: This document includes GPS coordinates of the starting points of the walking routes in the test sites.

en:
This repository contains data related to the field experiments of the RESTORE project. This project is a collaboration between the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and the Swiss Federal Laboratories for Materials Science & Technology (EMPA). It has received funding from the Swiss National Science Foundation. The overall objective of the RESTORE project was to assess the effects of green spaces as facilitators and noise as impediment to recover from stress in people's daily environments across Switzerland.
We conducted a randomized, controlled field study to compare the psychophysiological benefits of exposure to forests and urban built environments with different levels of road traffic noise in healthy adults during 30-minute walks in Zürich, Switzerland to explore:
1) The psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure
2) The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world
3) The effects of a mindful walking intervention in urban forests for healthy adults
Accordingly, this repository includes data and documentation for the 3 scientific articles:
Scientific article 1. “Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: study protocol of a randomized controlled trial", BMC Psychology, 2024. https://doi.org/10.1186/s40359-024-01720-x
Scientific article 2. "Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial“. Journal of Environmental Psychology, 2025.
Scientific article 3. “The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world: A randomized controlled trial". To be submitted to PLOS One, 2025.
Scientific article 4: "Effects of a mindful walking intervention in urban forests for healthy adults". To be submitted to Current Psychology, 2025.

field-data

display_name: field-data

restoration

display_name: restoration

traffic-noise

display_name: traffic-noise

urban-landscape

display_name: urban-landscape


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

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

format: WFS

fr: Darstellung der Imkerstände und Sperrkreise bei Tierseuchenausbrüchen der vier Kantone NW, OW, SZ, UR auf dem WebGis des Kantons Schwyz.

format: WMS

fr: Der Veterinärdienst der Urkantone liefert die Grunddaten der Imker an das Amt für Geoinformation. Mit Hilfe der Grunddaten werden in einem ersten Schritt sämtliche erfassten Bienenstände auf dem WebGIS des Kantons Schwyz dargestellt. Bei einem Tierseuchenausbruch meldet der VdU dem Amt für Geoinformationen den betroffenen Stand. Je nach Seuche (Sauerbrut = 1 km, Faulbrut = 2 km) wird der Sperrkreis auf dem WebGIS SZ eingezeichnet. Via Link auf der Homepage des Labors der Urkantone können interessierte, involvierte Imker nachschauen, wo überall Bienenstände sind und welche Gebiete allenfalls wegen einer Tierseuche gesperrt sind.

spatial: Kanton Schwyz (SZ)

fr: Veterinärdienst der Urkantone (VdU), Laboratorium der Urkantone

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

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

political_level: canton

value: SZ-Kt Geoinformation - Geocat Harvester


fr: WFS für Open-Government-Data des Kantons Zürich (OGD ZH WFS)

fr: Die Kantone sind im Rahmen des 2011 revidierten Gewässerschutzgesetzes des Bundes dazu verpflichtet, Sanierungsmassnahmen bei Wasserkraftwerken, darunter die Sanierungsplanung Schwall/Sunk, Geschiebegängigkeit sowie die Wiederherstellung der Fischgängigkeit umzusetzen.

spatial: Kanton Zürich

fr: Kanton Zürich

de: Kanton Zürich

en: Kanton Zürich

it: Kanton Zürich

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

value: ZH - Geocat Harvester

fr: Sanierung Wasserkraft

de: Sanierung Wasserkraft

en: Sanierung Wasserkraft

it: Sanierung Wasserkraft


elektrizitatsproduktionsanlagen

educ

fr: Éducation, culture et sport

en: Education, culture and sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

title_for_slug: elektrizitatsproduktionsanlagen

author: Bundesamt für Energie

protocol: WWW:DOWNLOAD:TEXT, comma separated (CSV)

de: Csv

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

de: Geopackage

format: GPKG

protocol: WWW:DOWNLOAD:INTERLIS 1 (ITF)

de: Interlis

format: INTERLIS

fr: Service WMS-IFDG, couche "Installations production électrique"

de: WMS-BGDI Dienst, Layer "Elektrizitätsproduktionsanlagen"

en: WMS-FSDI service, layer "Electricity production plants"

it: Servizio WMS-IFDG, strato "Impianti produzione elettrica"

fr: Map (Preview) Géoportail thématique - map.energie.admin.ch

de: Map (Preview) Fachportal - map.energie.admin.ch

en: Map (Preview) Thematic geoportal - map.energie.admin.ch

it: Map (Preview) Geoportale tematico - map.energie.admin.ch

de: Fachportal - map.energie.admin.ch

de: swisstopo REST API

format: API

fr: Une installation de production d’électricité est un dispositif technique destiné à produire de l’électricité. Il est dans l’intérêt de tous de disposer d’un aperçu géographique de l’ensemble des installations de production d’électricité de la Suisse. Le développement des installations produisant de l’électricité avec des énergies renouvelables doit notamment être présenté de manière transparente. Il importe aussi de montrer quelle est la proportion de ces installations par rapport à celles produisant de l’électricité avec des énergies non renouvelables. Cet aperçu doit permettre de faire la distinction entre l‘hydraulique, le photovoltaïque, l’éolien, la biomasse, la géothermie, l’énergie nucléaire, le pétrole, le gaz naturel et le charbon. Cette base de données comprend uniquement les installations de production d’électricité enregistrées dans le système suisse des garanties d’origine. Sont donc concernées d’une part les installations d’une puissance supérieure à 30 kilovoltampères (kVA) et les petites installations (à partir de 2 kilowatts (kW)) qui se sont enregistrées sur une base volontaire et d’autre part, les installations encouragées par une rétribution de l’injection, une rétribution unique, un financement des frais supplémentaires ou une contribution d’investissement (art. 19 et 24, LEne). Seules les installations de production d’électricité en service sont prises en compte.

de: Eine Elektrizitätsproduktionsanlage ist eine technische Einrichtung zur Erzeugung von Strom.Es ist von allgemeinem Interesse, eine räumliche Übersicht über sämtliche Elektrizitätsproduktionsanlagen der Schweiz zu haben. Insbesondere soll der Zubau an Produktionsanlagen, die Elektrizität aus erneuerbaren Energien produzieren, transparent dargestellt werden. Zudem kann das Verhältnis der Anlagen, die Elektrizität aus erneuerbaren Energien produzieren, zu den Anlagen, die Elektrizität aus nicht erneuerbaren Energien produzieren, sichtbar gemacht werden. Man unterscheidet zwischen Wasserkraft, Photovoltaik, Windenergie, Biomasse, Geothermie, Kernenergie, Erdöl, Erdgas und Kohle. Dieser Datenbestand enthält alle Elektrizitätsproduktionsanlagen, welche im Schweizerischen Herkunftsnachweissystem registriert sind. Darunter fallen zum einen alle Anlagen mit einer Leistung grösser 30 Kilovoltampere (kVA), sowie Kleinanlagen (grösser als 2 Kilowatt), welche freiwillig für die Ausstellung von Herkunftsnachweisen (HKN) registriert worden sind. Zum anderen enthält der Datenbestand Anlagen, die durch eine Einspeisevergütung, Einmalvergütung, Mehrkostenfinanzierung oder einen Investitionsbeitrag geförderten werden (gemäss Art. 19 und 24; EnG). Es sind nur Elektrizitätsproduktionsanlagen enthalten, welche in Betrieb sind.

en: An electricity production plant is a technical facility for generating electricity. It is in the public interest to have a spatial overview of all electricity production plants in Switzerland. In particular, the expansion of production plants that produce electricity from renewable energy should be presented transparently. The ratio of plants producing electricity from renewable energy to plants producing electricity from non-renewable energy can also be shown. A distinction is made between hydropower, photovoltaics, wind energy, biomass, geothermal energy, nuclear energy, oil, natural gas and coal. This database contains all electricity production plants that are registered in the Swiss proof of origin system and includes all plants with an output exceeding 30 kilovolt-amperes (kVA), as well as small plants (more than 2 kilowatts) that have been voluntarily registered to display proof of origin. The database also includes plants that are subsidised by a feed-in rate, a one-off payment, additional cost financing or an investment contribution (pursuant to Art. 19 and 24; EnA). Only electricity production plants that are in operation are included.

it: Un impianto di produzione di energia elettrica è un dispositivo tecnico per la produzione di energia elettrica. È di interesse generale avere una panoramica spaziale di tutti gli impianti di produzione di energia elettrica presenti in Svizzera. In particolare, l'espansione degli impianti di produzione che generano elettricità da fonti energetiche rinnovabili dovrebbe essere presentata in modo trasparente. Inoltre, è possibile rendere visibile il rapporto tra gli impianti che producono elettricità da fonti energetiche rinnovabili e quelli che producono elettricità da fonti energetiche non rinnovabili. Si distingue tra energia idroelettrica, fotovoltaica, eolica, biomassa, geotermica, nucleare, petrolio, gas naturale e carbone. Questo set di dati comprende tutti gli impianti di produzione di energia elettrica registrati nel sistema svizzero delle garanzie di origine. Da un lato, questo include tutti gli impianti con una capacità superiore a 30 kilovolt-ampere (kVA), così come i piccoli impianti (superiori a 2 kilowatt) che sono stati registrati a titolo volontario per il rilascio di garanzie di origine. Dall'altro lato, il set di dati include impianti che sono sovvenzionati tramite una rimunerazione per l'immissione di elettricità, un versamento unico, un finanziamento dei costi aggiuntivi o un contributo d'investimento (secondo gli art. 19 e 24; LEne). Sono inclusi solo gli impianti di produzione di elettricità che sono in funzione.

spatial: Schweiz

fr: Office fédéral de l'énergie

de: Bundesamt für Energie

en: Swiss Federal Office of Energy

it: Ufficio federale dell'energia

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).

political_level: confederation

value: BFE - Geocat Harvester

fr: Installations de production d'électricité

de: Elektrizitätsproduktionsanlagen

en: Electricity production plants

it: Impianti di produzione di energia elettrica


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

envi

fr: Environnement

de: Umwelt

de: boden boden atlas schwermetall toxische-metalle toxische-metalle interpolation interpolation altlast biogeochemie schwermetallbelastung boden bodenkartierung bodenqualitat bund bgdi-bundesgeodaten-infrastruktur

fr: geocat.ch permalien

de: geocat.ch Permalink

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

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

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

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

fr: STAC Browser

de: STAC Browser

en: STAC Browser

it: STAC Browser

fr: Lien vers la distribution des données

de: Link zum Datenbezug

en: Link for download

it: Link per le fonti dei dati

format: HTML

fr: Service WMS-IFDG, couche "Concentrations de zinc"

de: WMS-BGDI Dienst, Layer "Zink-Konzentrationen im Boden"

en: WMS-FSDI service, layer "Concentration of Zink"

it: Servizio WMS-IFDG, strato "Concentrazioni di zinco"

fr: Service WMTS-IFDG, couche "Concentrations de zinc"

de: WMTS-BGDI Dienst, Layer "Zink-Konzentrationen im Boden"

en: WMTS-FSDI service, layer "Concentration of Zink"

it: Servizio WMTS-IFDG, strato "Concentrazioni di zinco"

format: WMTS

fr: Interpolations de concentrations d’éléments (mg/kg de terre fine) dans les sols de surface (0-20 cm) de Suisse. Pour les interpolations en krigeage habituel (1 km x 1 km), les données prises en compte proviennent de 1201 sites du Monitoring de la biodiversité en Suisse (BDM), de l’Observatoire national des sols (NABO) et de l’Atlas géochimique européen des sols (GEMAS). Les concentrations en éléments ont été analysées dans des préparations à l’eau régale (HNO3:HCl:H2O) d’échantillons de sol séchés (40 °C), tamisés (< 2 mm),broyés puis analysés par spectrométrie de masse à plasma à couplage inductif. Les sites dont les concentrations d’éléments sont connues pour être essentiellement anthropiques (sources ponctuelles) ont été préalablement exclus. Les résultats de l’Atlas géochimique des sols représentent un instantané des concentrations d’éléments dans les sols de surface de la Suisse (période d’échantillonnage de 2011 à 2015). Les cartes interpolées servent à améliorer la visualisation des régions présentant des concentrations d’éléments élevées ou basses. Ces données ne permettent cependant pas d’en déduire des informations précises à l’échelle des parcelles ou des conclusions définitives sur la géologie, la biodisponibilité, le pourcentage de répartition des sources géogènes et anthropogènes ainsi que la pollution du sol. Citation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Zürich, 2023.

de: Interpolierte Element-Konzentrationen (mg/kg Feinerde) in den Oberböden (0–20 cm) der Schweiz. Für die Ordinary Kriging Interpolationen (1 km x 1 km) wurden Messdaten von insgesamt 1'201 Standorten des Biodiversitätsmonitorings Schweiz, der Nationalen Bodenbeobachtung und des europäischen geochemischen Bodenatlas berücksichtigt. Die Element-Konzentrationen wurden in Königswasser Aufschlüssen (HNO₃:HCl:H₂O) von getrockneten (40°C), gesiebten (< 2 mm) und anschliessend gemahlenen Bodenproben mittels induktiv gekoppelter Plasma Massenspektrometrie analysiert. Standorte mit bekannter anthropogener Überprägung der Element-Konzentrationen (Punktquellen) wurden vorgängig ausgeschlossen. Bei den Ergebnissen des geochemischen Bodenatlas handelt es sich um eine Momentaufnahme der Element-Konzentrationen in den Oberböden der Schweiz (Probenahmezeitraum 2011–2015). Die interpolierten Karten dienen der verbesserten Visualisierung von Regionen mit erhöhten resp. tiefen Konzentrationen. Es können daraus jedoch keine parzellenscharfen Informationen oder definitive Rückschlüsse auf die Geologie, die Bioverfügbarkeit, die prozentualen Verteilung der geogenen und anthropogenen Quellen sowie die Belastung des Bodens abgeleitet werden. Zitat Publikation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Zürich, 2023.

en: Interpolated element concentrations (mg/kg fine soil) in the topsoil (0-20 cm) of Switzerland. For the Ordinary Kriging interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring, the National Soil Monitoring and the European Geochemical Soil Atlas were taken into account. The element concentrations were analyzed in aqua regia digests (HNO₃:HCl:H₂O) of dried (40°C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic overprinting of element concentrations (point sources) were excluded in advance. The results of the geochemical soil atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no plot-specific information or definitive conclusions on the geology, bioavailability, percentage distribution of geogenic and anthropogenic sources or soil contamination can be derived from them. Citation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Zürich, 2023.

it: Concentrazioni di elementi interpolati (mg/kg di terra fine) negli strati superficiali (0-20 cm) della Svizzera. Per le interpolazioni Ordinary Kriging (1 km x 1 km), sono stati considerati i dati di misurazione per 1201 siti in totale del Monitoraggio della biodiversità in Svizzera (MBD), dell’Osservatorio nazionale dei suoli (NABO) e dell’atlante geochimico europeo dei suoli agricoli (GEMAS). Le concentrazioni di elementi sono state analizzate usando la digestione con acqua regia (HNO3: HCl:H2O) di campioni di suolo essiccati (40 °C), setacciati (< 2 mm) e successivamente macinati, utilizzando la spettrometria di massa con plasma accoppiato induttivamente. Sono stati preventivamente esclusi i siti con note interferenze antropiche sulle concentrazioni degli elementi (sorgenti puntuali). I risultati dell’atlante geochimico del suolo costituiscono un’istantanea delle concentrazioni di elementi negli strati superficiali della Svizzera (periodo di prelievo dei campioni 2011-2015). Le carte interpolate servono a migliorare la visualizzazione delle regioni con concentrazioni elevate o ridotte. Non è tuttavia possibile ricavarne informazioni specifiche per ogni particella o conclusioni definitive sulla geologia, sulla biodisponibilità, sulla ripartizione percentuale delle fonti geogeniche e antropogeniche e sull’inquinamento del suolo. Citazione: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Zürich, 2023.

fr: Office fédéral de l'environnement

de: Bundesamt für Umwelt / Abteilung Boden und Biotechnologie

en: Federal Office for the Environment

it: Ufficio federale dell'ambiente

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

value: BAFU - Geocat Harvester

fr: Atlas géochimique des sols de la Suisse: Zinc

de: Geochemischer Bodenatlas der Schweiz: Zink

en: Geochemical soil atlas of Switzerland: Zinc

it: Atlante geochimico dei suoli della Svizzera: Zinco


regi

it: Regioni e città

envi

en: Environment

it: Ambiente

de: fliessgewasser gewasserschutz landwirtschaft landwirtschaftliche-nutzung nutzungsplanung raumplanung zonenplan

author: Kanton Luzern, Abteilung Geoinformation

en: geocat.ch permalink

it: geocat.ch link permanente

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Der Gewässerraum ist extensiv zu gestalten und zu bewirtschaften (GSchG, Art. 36a Abs. 3). In der Landwirtschaft sind folgende Gewässerraumflächen von den Bewirtschaftungseinschränkungen ausgenommen: Flächen über eingedolten Gewässerabschnitten, Randstreifen entlang Verkehrsachen und äussere Korridore bei Gewässeräumen von grossen Fliessgewässern. Der Datensatz umfasst diese Festlegungen.

spatial: Kanton Luzern

de: Kanton Luzern, Abteilung Geoinformation

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

value: LU-Kt - Geocat Harvester


sirenenstandorte-mit-beschallung

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

regi

de: Regionen und Städte

title_for_slug: sirenenstandorte-mit-beschallung

de: bevolkerung sicherheit zivilschutz

de: geocat.ch Permalink

de: Sirenenabdeckung innerhalb des Kanton Luzern mit Sirenenstandorten, mobiler Alarmierung und Schallteppich.

de: Sirenenstandorte mit Beschallung