en:
The TreeMig framework allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
Here, case study examples in Switzerland are given that simulate the dynamics and spatial spread of competing tree species in a region in Switzerland, the invasion of a hypothetical invasive tree species, and the control of this species via a management model coupled to TreeMig. The datasets consist of the installation- and GUI starting-script, example environmental input data for Switzerland, the simulation environment, and further R-scripts for running the simulations and plotting the simulation results directly from R and for coupling TreeMig to the forest management model.

en: bioclimatic-variables climate-change example-applications forest forest-dynamics forest-management land-use r-package spatial-modelling species-migration treemig

envidat

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

en: EnviDat: the Environmental Data Portal

en: Case study applications demonstrating the use and potential of the TreeMig framework v1

educ

en: Education, culture and sport

en: A condensed instruction for running the presented simulations.

en:
1) Simulation environment TMEnvironmentExampleApplications for the simulation of the case study applications. It contains a) simulation settings (folder C), b) species parameters (folder P), c) folders S, R and P for the state files and results and plots to be produced, and the binaries of the TreeMig model.
2) Input data for Switzerland in TMInputData (Climate, soil, land cover, DEM)
3) Several R scripts (folder Scripts) to run and plot the simulations directly from R without having to use the graphical user interface.
For learning how to use TreeMig we recommend the starter kit https://www.doi.org/10.16904/envidat.533.

en: Where the environmental and land use input data come from and how they were processed

en: R-script to install the TreeMig framework and start the graphical user interface

bioclimatic-variables

display_name: bioclimatic-variables

climate-change

display_name: climate-change

example-applications

display_name: example-applications

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-management

display_name: forest-management

land-use

display_name: land-use

r-package

display_name: r-package

spatial-modelling

display_name: spatial-modelling

species-migration

display_name: species-migration

treemig

display_name: treemig


c-n-p-release-treeline

$oid: OBSOLETE

en:
1. Chemical characteristics of litter layer sampled along elevation gradient across treeline ecotones in the Khibiny mountains (birch) and South Urals (spruce)
2. Release of C-N-P during decomposition at 5°C and 15° studied in an incubation experiment with microlysimeters
3. Data on microbial biomass C-N-P, potential activity of C-N-P requiring enzymes in the litter layer
4. Mineralization of 13C labeled glucose-6 phosphate, microbial 13C uptake, and net P immobilization of released P to identify microbial processing of labile organic P

en: biogeochemical-cycling carbon-cycle climate-change enzymatic-activities litter-decomposition microbial-biomass nutrient-fluxes treeline-ecosystems

envidat

approval_status: approved

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

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

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

de: EnviDat: das Umwelt-Datenportal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

en: C-N-P-Release Treeline

title_for_slug: c-n-p-release-treeline

type: dataset

key: guid

key: uri

value: Envidat Harvester

educ

de: Bildung, Kultur und Sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

en: Litter layer characteristics, C-N-P-release during decomposition, microbial C-N-P, enzyme activity, mineralization of 13C-labeled glucose-6-phosphate from samples collected across two treelines

format: XLS

biogeochemical-cycling

display_name: biogeochemical-cycling

carbon-cycle

display_name: carbon-cycle

enzymatic-activities

display_name: enzymatic-activities

litter-decomposition

display_name: litter-decomposition

microbial-biomass

display_name: microbial-biomass

nutrient-fluxes

display_name: nutrient-fluxes

treeline-ecosystems

display_name: treeline-ecosystems


en:
The data supports the paper "Local and landscape factors shape alpha and beta trophic interaction diversity in urban gardens". It provides:
(1) the host-natural enemy interaction networks and network metrics between cavity-nesting bees and wasps and their natural enemies,
 (2) the explanatory variables reflecting urban intensity, temperature, habitat amount and management intensity.
(3) the questionnaires for assessing management intensity.
(4) a thesaurus for the variable names.
(5) a readme file.
(6) the R script used for the analyses.
The data is part of the BetterGardens project. It was sampled in 85 allotment and home gardens in the ctiy of Zurich in 2015 using standardized trapnests.

en: bees cavity-nesting food-webs host-enemy-interactions hymenoptera management-intensity trap-nest urban-ecology urban-ecosystems urbanization wasps zurich

en: Data on interaction diversity in urban gardens

en: Not used: data of the study

format: CSV

media_type: text/csv

en: Variable names and their description.

en: Thesaurus

en: Host-enemy interaction data, used to compute the interaction diversity metrics

en: Raw data nests

en: Read me file

format: TXT

media_type: text/plain

en: Not used: readme

en: Cleaned script to reproduce the analyses

en: Script for the analyses v1.0

format: OCTET

en: Not used: raw questionnaires

en: Results from the management intensity questionnaires anonymised. IDs are randomized and don't match those in the study data csv

en: Questionnaires management intensity anonymised

en: The csv. file contains the response variable "interaction diversity" (idiv), and the values of the predictors used in the paper. The "id" column indicates the garden ID, each row in the dataset correspond to a garden and each column to the response (idiv), an explanatory variable or a descriptor (name, Lat, Long). See the thesaurus and the readme file for extended information on the variables.

en: Data of the study

en: Script for the analyses v2.0

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

food-webs

display_name: food-webs

host-enemy-interactions

display_name: host-enemy-interactions

hymenoptera

display_name: hymenoptera

management-intensity

display_name: management-intensity

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

urban-ecosystems

display_name: urban-ecosystems

urbanization

display_name: urbanization


chelsacerra-daily

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

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

envidat

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

en: EnviDat: the Environmental Data Portal

en: CHELSAcerra-daily

title_for_slug: chelsacerra-daily

educ

en: Education, culture and sport

en: Daily Mean Near-Surface Air Temperature

en: Daily Mean Near-Surface Air Temperature 1985

format: SERVICE

en: Daily Mean Near-Surface Air Temperature 1986

en: Daily Mean Near-Surface Air Temperature 1987

en: Daily Mean Near-Surface Air Temperature 1988

en: Daily Mean Near-Surface Air Temperature 1989

en: Daily Mean Near-Surface Air Temperature 1990

en: Daily Mean Near-Surface Air Temperature 1991

en: Daily Mean Near-Surface Air Temperature 1992

en: Daily Mean Near-Surface Air Temperature 1993

en: Daily Mean Near-Surface Air Temperature 1994

en: Daily Mean Near-Surface Air Temperature 1995

en: Daily Mean Near-Surface Air Temperature 1996

en: Daily Mean Near-Surface Air Temperature 1997

en: Daily Mean Near-Surface Air Temperature 1998

en: Daily Mean Near-Surface Air Temperature 1999

en: Daily Mean Near-Surface Air Temperature 2000

en: Daily Mean Near-Surface Air Temperature 2001

en: Daily Mean Near-Surface Air Temperature 2002

en: Daily Mean Near-Surface Air Temperature 2003

en: Daily Mean Near-Surface Air Temperature 2004

en: Daily Mean Near-Surface Air Temperature 2005

en: Daily Mean Near-Surface Air Temperature 2006

en: Daily Mean Near-Surface Air Temperature 2007

en: Daily Mean Near-Surface Air Temperature 2008

en: Daily Mean Near-Surface Air Temperature 2009

en: Daily Mean Near-Surface Air Temperature 2010

en: Daily Mean Near-Surface Air Temperature 2011

en: Daily Mean Near-Surface Air Temperature 2012

en: Daily Mean Near-Surface Air Temperature 2013

en: Daily Mean Near-Surface Air Temperature 2014

en: Daily Mean Near-Surface Air Temperature 2015


en: This research data is used to re includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions. This research data includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions.

en: habitat-heterogeneity hengduan-mountains hypervolume model-residuals phytodiversity

envidat

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

en: EnviDat: the Environmental Data Portal

en: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan

educ

en: Education, culture and sport

en: This is the plant range map at the Hengduan mountain scale based on species distribution model, elevation, and county level distribution information

en: Plant range map at Hengduan scale

en: This is the family level plant richness map in the Hengduan mountain scale at 1km resoution

en: Hengduan plant family richness map

format: ZIP

media_type: application/zip

en: This is the plant family level richness map at the Eurasia scale calculated from https://www.nature.com/articles/s41597-021-00997-6

en: Eurasia plant family richness map

en: This table is used for the Eurasia scale analyses, including both family level species richness map and different heterogeneity predictors

en: Eurasia SR and heteorgeneity

en: The Heterogeneity matrics in the Hengduan mountain scale

en: HDM heterogeneity scales

habitat-heterogeneity

display_name: habitat-heterogeneity

hengduan-mountains

display_name: hengduan-mountains

hypervolume

display_name: hypervolume

model-residuals

display_name: model-residuals

phytodiversity

display_name: phytodiversity


en:
List of key debris flow variables from the WSL Illgraben monitoring station (2023) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density.
This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future.

en: debris-flow force-plate illgraben magnitude monitoring-station

en: Illgraben debris-flow characteristics 2023

debris-flow

display_name: debris-flow

force-plate

display_name: force-plate

illgraben

display_name: illgraben

magnitude

display_name: magnitude

monitoring-station

display_name: monitoring-station


climarctic-seasons

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

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

envidat

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

en: Climarctic seasons

title_for_slug: climarctic-seasons

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

en: Climarctic seasons dataset Envidat.xlsx

arctic

display_name: arctic

greenhouse-gases

display_name: greenhouse-gases

microbial-biodiversity

display_name: microbial-biodiversity

microbial-functions

display_name: microbial-functions

soil

display_name: soil


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

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

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

The work is published in:

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

envidat

en: EnviDat: the Environmental Data Portal

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

educ

en: Education, culture and sport

en: Snowdepth maps

format: GeoTIFF

avalanches

display_name: avalanches

davos

display_name: davos

dischma

display_name: dischma

photogrammetry

display_name: photogrammetry

snow-depth-distribution

display_name: snow-depth-distribution

snow-hydrology

display_name: snow-hydrology


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

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

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

analysis

display_name: analysis

pulse-doppler

display_name: pulse-doppler

radar

display_name: radar


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

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

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

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

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

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

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

depth-hoar

display_name: depth-hoar

microstructure

display_name: microstructure

slab-avalanche

display_name: slab-avalanche

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

strength

display_name: strength


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

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

envidat

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

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

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

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

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

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

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

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

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

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

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

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

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

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

beta-diversity

display_name: beta-diversity

community-assembly

display_name: community-assembly

environmental-factors

display_name: environmental-factors

functional-diversity

display_name: functional-diversity

metacommunity

display_name: metacommunity

spatial-factors

display_name: spatial-factors

taxonomic-diversity

display_name: taxonomic-diversity

water-filled-tree-holes

display_name: water-filled-tree-holes


individual-detected-trees

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

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

envidat

en: EnviDat: the Environmental Data Portal

en: Individual Detected Trees

title_for_slug: individual-detected-trees

educ

en: Education, culture and sport

development-stage

display_name: development-stage

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

itd

display_name: itd

mountain-forest

display_name: mountain-forest

nfi

display_name: nfi


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

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

envidat

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

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

lab-experiment

display_name: lab-experiment

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-microstructure

display_name: snow-microstructure


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

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

en: Sentinel-2 Vegetation Height Model Armenia

format: TIFF

media_type: image/tiff

armenia

display_name: armenia

cnn

display_name: cnn

foracca

display_name: foracca

forest

display_name: forest

remote-sensing

display_name: remote-sensing

vegetation-height

display_name: vegetation-height


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

en: biodiversity green-spaces seasons urban well-being

en: Playground biodiversity and preschool children well-being

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

en: Plant and playground data.xlsx

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

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

en: Spielplatz Fragebogen_Englisch.pdf

format: PDF

media_type: application/pdf

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

en: Spielplatz Fragebogen_Deutsch.pdf

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

en: Spielplatz Fragebogen_Französisch.pdf

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

en: Spielplatz Fragebogen_Italienisch.pdf

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

en: Spielplatz Fragebogen_Polnisch.pdf

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

en: Spielplatz Fragebogen_Arabisch.pdf

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

en: Spielplatz Fragebogen_Rumänisch.pdf

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

en: Spielplatz Fragebogen_Russisch.pdf

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

en: Spielplatz Fragebogen_Spanisch.pdf

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

en: Spielplatz Fragebogen_Türkisch.pdf

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

en: Spielplatz Fragebogen_Ukrainian.pdf

biodiversity

display_name: biodiversity


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

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

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

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

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

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

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

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

envidat

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

en: EnviDat: the Environmental Data Portal

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

educ

en: Education, culture and sport

en: Natural hazard fatalities per year in Switzerland since 1946

debris-flow-fatalities

display_name: debris-flow-fatalities

earthquake-fatalities

display_name: earthquake-fatalities

flood-fatalities

display_name: flood-fatalities

ice-avalanche-fatalities

display_name: ice-avalanche-fatalities

landslide-fatalities

display_name: landslide-fatalities

lightning-fatalities

display_name: lightning-fatalities

natural-hazard-fatalities

display_name: natural-hazard-fatalities

rockfall-fatalities

display_name: rockfall-fatalities

windstorm-fatalities

display_name: windstorm-fatalities


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

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

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

discharge

display_name: discharge

european-alps

display_name: european-alps

hydrological-simulations

display_name: hydrological-simulations

hydrology

display_name: hydrology

large-scale

display_name: large-scale


wasserschloss-europas

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

en: metapher wasserressourcen wasserschloss wasserwirtschaft zeitungsartikelanalyse

en: Wasserschloss Europas

title_for_slug: wasserschloss-europas

en: Sammlung der 226 verwendeten Zeitungsartikel.

en: Kodierungsschema für die Zeitungsartikelanalyse.

metapher

display_name: metapher

wasserressourcen

display_name: wasserressourcen

wasserschloss

display_name: wasserschloss

wasserwirtschaft

display_name: wasserwirtschaft

zeitungsartikelanalyse

display_name: zeitungsartikelanalyse


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

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

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

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

en: 01_Information sheet.pdf

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

en: 02_Particiants consent form.pdf

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

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

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

en: 05_Anonymised dataset.xlsx

artificial-lighting

display_name: artificial-lighting

field-data

display_name: field-data

stress

display_name: stress

urban-landscape

display_name: urban-landscape

well-being

display_name: well-being


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

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

envidat

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

en: EnviDat: the Environmental Data Portal

en: Restorative locations from participatory mapping by Swiss residents

educ

en: Education, culture and sport

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

gis-analysis

display_name: gis-analysis

quiet-areas

display_name: quiet-areas

restorative-environments

display_name: restorative-environments

sensory-perception

display_name: sensory-perception

soundscape

display_name: soundscape

traffic-noise

display_name: traffic-noise


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

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

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

en: Data Download

forests

display_name: forests

lidar

display_name: lidar

light-availability

display_name: light-availability

radiation-transfer

display_name: radiation-transfer

shortwave-radiation

display_name: shortwave-radiation

sky-view-fraction

display_name: sky-view-fraction

solar-energy

display_name: solar-energy

solar-irradiance

display_name: solar-irradiance

terrain

display_name: terrain

transmissivity

display_name: transmissivity


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

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

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

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

agrilus-palnipennis

display_name: agrilus-palnipennis

ash-dieback

display_name: ash-dieback

fraxinus-excelsior

display_name: fraxinus-excelsior

metabolomics

display_name: metabolomics

pest-invasion

display_name: pest-invasion


functional-invertebrate-groups-dataset

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

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

en: Functional Invertebrate Groups - Dataset

title_for_slug: functional-invertebrate-groups-dataset

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

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

community-composition

display_name: community-composition

functional-groups

display_name: functional-groups

invertebrates

display_name: invertebrates

led

display_name: led

light-pollution

display_name: light-pollution


en:
Lebensraumkarte der Schweiz v1.2 2025/La carte des milieux naturels de Suisse v1.2 2025
The FOEN funded project ‘The Habitat Map of Switzerland:continual improvement’ conducted at the WSL, has improved on versions 1.0 and 1.1 of a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015). The datasets is now separated into two data sets: The Habitat Map of Switzerland v1.2, ground cover layer, and The Habitat Map of Switzerland v1.2, individual trees and shrubs outside forest v1.0 (above ground) layer.
The Habitat Map of Switzerland maps the TypoCH habitat types wall-to-wall across the whole of Switzerland, to at least the classification’s 2nd level of detail (where possible to the 3rd level of detail).
Habitats are mapped through a variety of approaches that can be grouped as either:
1: Derived from the existing Swiss-wide datasets a) the high quality landcover mapping from Swisstopo’s Topographical Landscape Model (TLM), b) the harmonised mapping of agricultural fields area from the ‘Landwirtschaftliche Nutzfläche’ (LWN) mapping and, in settlements areas, c) the harmonised cadastral data (‘Amitliche Vermessung’ AV).
2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types (further detail below),
3: Combining existing species distribution models to determine habitat types, or
4: Classification with relatively simple rule-sets based on auxiliary spatial datasets, i.e. vegetation height models (based on digital aerial photogrammetry and/or SwissSurface3D aerial laser scanning (ALS) data), the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 or Planet satellite imagery.
Further detail on the methodology can be found within the README document.

en: dwarf-shrubs ensemble-modelling forest grasslands habitat-modelling lebensraumkarte lidar milieux-naturels random-forest remote-sensing sentinel-2 shrub-forest tof typoch urban wetland

envidat

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

en: The Habitat Map of Switzerland v1_2 2025

en: The Habitat Map of Switzerland version 1.2 2025. Ground cover layer, All of Switzerland. Vector data in file geodatabase format. Is complemented by the trees and shrubs layer.

en: The Habitat Map of Switzerland v1.2, non-forest trees and shrubs layer, v1.0. Vector dataset in file geodatabase format. Complements the ground cover layer dataset

en: Symbology for the Habitat Map, ground layer and tree and shrub layer, and in ArcGIS and QGIS layer formats. German, French and Italian versions

en: Data description and documentation of methods

en:
Look up table for the data N2025_HabitatMap_CH_v1_2_20251211
giving the full text names for habitat types in German, French and Italian for each habitat type as well as the key for the type of methodology used

en:
Look up table for the data N2025_einzelbaum_gebuesche_v1_0_20251216
giving the full text names for each habitat type in German, French and Italian

dwarf-shrubs

display_name: dwarf-shrubs

ensemble-modelling

display_name: ensemble-modelling

forest

display_name: forest

grasslands

display_name: grasslands

habitat-modelling

display_name: habitat-modelling

lebensraumkarte

display_name: lebensraumkarte

lidar

display_name: lidar

milieux-naturels

display_name: milieux-naturels

random-forest

display_name: random-forest

remote-sensing

display_name: remote-sensing

shrub-forest

display_name: shrub-forest

tof

display_name: tof

typoch

display_name: typoch

urban

display_name: urban

wetland

display_name: wetland


en:
This dataset forms the base of the paper 'Contrasting canopy air temperatures across complex terrain during the snow season' submitted to JGR Atmospheres. It aims to ensure full reproducibility of the figures by providing all relevant scripts (MATLAB R2024a), functions, processed data, and primary data. The primary data consists of three January-April periods in two Alpine valleys (Flüela, 2023; Monstein; 2024, 2025) of:
i) Ventilated canopy air temperatures and humidity (60s intervals) measured at 2.5 m above ground by automatic weather stations (AWS) at opposing north- and south-facing slopes.
ii) Concurrent AWS observations (15s intervals) at a non-forested site in the Monstein valley (2024, 2025) of incoming LW, SW at approximately 0.5 m above ground. At approximately 2.5 m above ground, RH (ventilated), air temperature (ventilated), wind speed, and wind direction were measured.
iii) Passive-ventilated HOBO loggers measuring air temperature at 0.5 m, 1.0 m, 2.5 m, 4.5 m above ground along vertical profiles installed on stems at 30-minute (2023, 2024) or 15-minute (2025) intervals at multiple sites across at opposing north- and south-facing slopes.
iv) In addition, information on when snowfall occurred and when snow cover was present below the canopy or within the canopy is available for the 2023 and 2024 observation periods.
Full details are available in the corresponding publication (citation reference to be found under 'Related Research' once accepted).

en: canopy-cover forest-canopy forest-snow snow subalpine

envidat

en: EnviDat: the Environmental Data Portal

en: Canopy air temperatures in subalpine forests during three snow seasons

educ

en: Education, culture and sport

canopy-cover

display_name: canopy-cover

forest-canopy

display_name: forest-canopy

forest-snow

display_name: forest-snow

snow

display_name: snow

subalpine

display_name: subalpine


en:
Base data which were used for the methodology projecting future regional snow depths based on temperature scenarios. This study was supported by Seilbahnen Schweiz, Schweiz Tourismus, Seco and Speed2Zero.
The data is split in three folders:
- Literature-Fit dataset
- Literature-Validation dataset
- Projections

The Literature-Fit dataset is the data which was used to retrieve the fit parameters a, Delta b and Delta c, for different elevations and temperature scenarios, which can be found in data/literature_fit/fitfactor.csv. Those fit factors were used to project future snow depths from climatological snow depths. Futhermore, this dataset was used to link decreases in mean snow depths for different seasonal periods to the NDJFMA period (November until April, in total six months), those differences in reduction values can be found in data/literature_fit/difference_decrease_4differentperiods.csv. The raw reference and future snow depths of different studies and different elevation and temperature scenarios (dt) can be found in data/literature_fit/literature_data/* where each file is named by data_author_station_dt.csv.
The Literature-Validation dataset can be found in data/literature_validation/literature_data.csv contains the reference, RCP scenario, reference period, projected period and corresponding temperature scenarios. Furthermore, it contains region, elevation and relative decreases with corresponding seasonal periods, and the number of days with a certain amount of snow during the reference period and the projected period, if literature reported these values.
The folder projections contains mean snow depths, 5th and 95th percentile snow depth for each day of the year for the reference period and a temperature scenario of +2°C for all four stations Engelberg, Maloja, Saanenmöser and Weissfluhjoch.

en: alps climate-change future snow-climatology snow-depth

en: Literature based approach to estimate future snow

alps

display_name: alps

climate-change

display_name: climate-change

future

display_name: future

snow-climatology

display_name: snow-climatology

snow-depth

display_name: snow-depth


en: The project Smart Urban Heatmap Bern provides current and historical measurements of air temperature and relative humidity at over 100 measuring stations throughout the city and region of Bern. Measurements are taken every 10 min. The data of the Smart Urban Heat Map Bern measurement network can be queried in a machine-readable way via a REST API. This provides access to the most recent measurements, station metadata, and user-defined time series. To reduce the potential temperature bias when stations are exposed to direct sunlight, all stations are ventilated before measuring. However, in some cases, especially during the day, measured temperatures might still be slightly higher than actual temperatures.

de: Das Projekt Smart Urban Heatmap Bern stellt aktuelle und historische Messungen der Lufttemperatur- und der relative Luftfeuchtigkeit an über 100 Messtationen in der Stadt und Region Bern zur Verfügung. Gemessen wird alle 10 min. Die Daten des Messnetzes der Smart Urban Heat Map Bern können über eine REST API maschinenlesbar abgefragt werden. Diese bietet Zugang zu aktuellen Messwerten, Standortmetadaten sowie benutzerdefinierten Zeitreihen. Um die mögliche Temperaturabweichung im Fall einer direkten Sonneneinstrahlung zu verringern, werden alle Stationen vor der Messung belüftet. In einigen Fällen, insbesondere tagsüber, können die gemessenen Temperaturen jedoch immer noch etwas höher sein als die tatsächlichen Temperaturen.

fr: Le projet Smart Urban Heatmap Bern fournit des mesures actuelles et historiques de la température de l'air et de l'humidité relative dans plus de 100 stations de mesure réparties dans la ville et la région de Berne. Les mesures sont effectuées toutes les 10 minutes. Les données du réseau de mesure Smart Urban Heat Map Bern peuvent être interrogées de manière lisible par une API REST. Cela permet d'accéder aux mesures les plus récentes, aux métadonnées des stations et aux séries temporelles définies par l'utilisateur. Pour réduire le biais de température potentiel lorsque les stations sont exposées à la lumière directe du soleil, toutes les stations sont ventilées avant d'être mesurées. Toutefois, dans certains cas, en particulier pendant la journée, les températures mesurées peuvent encore être légèrement supérieures aux températures réelles.

en: urban-climate urban-climate local-climate local-climate weather climate-change-adaptation air-temperature atmospheric-humidity climate

de: stadtklima stadtklima lokalklima lokalklima wetter anpassung-an-den-klimawandel lufttemperatur luftfeuchtigkeit klima

fr: climat-urbain climat-urbain climat-local climat-local temps-meteo adaptation-au-changement-climatique temperature-de-lair humidite-de-lair climat

it: clima-urbano clima-urbano clima-locale clima-locale tempo adattamento-ai-cambiamenti-climatici temperatura-dellaria umidita-atmosferica clima

public-sector-transformation

de: Das Institut Public Sector Transformation der Berner Fachhochschule begleitet den öffentlichen Sektor bei der digitalen Transformation, öffentlichen Beschaffungen und organisationalem Wandel. Mit praxisrelevanter Lehre und Weiterbildung sowie mit anwendungsorientierter Forschung.

en: Institut Public Sector Transformation of the Bern University of Applied Sciences

en: Institute Public Sector Transformation of the Bern University of Applied Sciences

fr: Institut Public Sector Transformation de la Haute école spécialisée bernoise

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

spatial: Bern

en: Temperature and relative humidity for city and region of Bern

de: Temperatur und relative Feuchtigkeit für Stadt und Region Bern

fr: Température et humidité relative pour la ville et la région de Berne

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en: The website shows an interactive map with most recent measurements of air temperature as well as time series per station over the last two days. Time series of air temperature and relative humidity measurements for individual measuring stations in the city and region of Bern can be downloaded via the download page. The data are available as JSON or as CSV. Measurements are taken every 10 min.

de: Die Webseite zeigt eine interaktive Karte mit aktuell gemessene Lufttemperatur sowie pro Station Messreihen über die letzten zwei Tage. Über die Download-Seite können Zeitreihen der Messungen von Lufttemperatur- und relativer Luftfeuchtigkeit für individuelle Messtationen in der Stadt und Region Bern heruntergeladen werden. Die Daten sind als JSON oder als CSV verfügbar. Gemessen wird alle 10 min.

fr: Le site web montre une carte interactive avec la température de l'air actuellement mesurée ainsi que, pour chaque station, des séries de mesures sur les deux derniers jours. La page de téléchargement permet de télécharger des séries temporelles de mesures de la température de l'air et de l'humidité relative pour des stations de mesure individuelles dans la ville et la région de Berne. Les données sont disponibles au format JSON ou CSV. Les mesures sont effectuées toutes les 10 minutes.

en: Smart Urban Heat Map Bern Website

de: Smart Urban Heat Map Bern Webseite

fr: Site web Smart Urban Heat Map Berne

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

en: This REST API endpoint provides the most recent measurements of air temperature and relative humidity at over 100 measuring stations throughout the city and region of Bern as well as station metadata. Data can be returned as GEOJSON or CSV. Measurements are taken every 10 min.

de: Dieser REST API Endpunkt stellt die aktuellen Messwerte der Lufttemperatur- und der relative Luftfeuchtigkeit sowie Stationsmetadaten an über 100 Messtationen in der Stadt und Region Bern zur Verfügung. Die Daten können als GEOJSON oder als CSV abgefragt werden. Gemessen wird alle 10 min.

fr: Ce point d'accès REST API fournit les mesures les plus récentes de la température de l'air et de l'humidité relative dans plus de 100 stations de mesure réparties dans la ville et la région de Berne, ainsi que les métadonnées des stations. Les données peuvent être renvoyées sous forme de GEOJSON ou de CSV. Les mesures sont effectuées toutes les 10 minutes.

en: Smart Urban Heat Map API - Latest

de: Smart Urban Heat Map API - Letzte Messungen

fr: Smart Urban Heat Map API - Dernières Mesures

format: GeoJSON

protocol: WWW:DOWNLOAD:GeoJSON (GEOJSON)

en: This REST API endpoint provides time series of air temperature and relative humidity measurements for individual measuring stations in the city and region of Bern. The data can be queried as JSON or as CSV. Measurements are taken every 10 min.

de: Dieser REST API Endpunkt stellt Zeitreihen der Messungen von Lufttemperatur- und relative Luftfeuchtigkeit für individuelle Messtationen in der Stadt und Region Bern zur Verfügung. Die Daten können als JSON oder als CSV abgefragt werden. Gemessen wird alle 10 min.

fr: Ce point final REST API met à disposition des séries temporelles de mesures de la température de l'air et de l'humidité relative pour des stations de mesure individuelles dans la ville et la région de Berne. Les données peuvent être consultées sous forme de JSON ou de CSV. Les mesures sont effectuées toutes les 10 minutes.

en: Smart Urban Heat Map API - Time Series

de: Smart Urban Heat Map API - Zeitreihen

fr: Smart Urban Heat Map API - Séries Temporelles

format: JSON

protocol: WWW:DOWNLOAD:JSON (JSON)

value: BFH (IPST) - Geocat Harvester


orthofoto-kanton-schaffhausen

en: Bei den Orthophotos handelt es sich um entzerrte Flugaufnahmen mit einer Pixelgrösse von 10cm. Die Befliegungen wurden im März/April 2013/2014 durchgeführt. Die Lagegenauigkeit beträgt +/- 1 Pixel.

amt-geoinformation-kanton-schaffhausen

fr: L'Office de la géoinformation gère et publie les géodonnées du canton de Schaffhouse sous forme de géoservices OGC et de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises à l'OGD sont listées ici.

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

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

it: L'Ufficio di geoinformazione gestisce e pubblica i geodati del Cantone di Sciaffusa come geoservizi OGC e come file da scaricare. Tutti i geodati attualmente disponibili soggetti all'OGD sono elencati qui.

de: Amt für Geoinformation Kanton Schaffhausen

en: Office for Geoinformation Canton Schaffhausen

fr: Office de la géoinformation du canton de Schaffhouse

it: Ufficio di geoinformazione del Cantone di Sciaffusa

political_level: canton

en: Amt für Geoinformation des Kantons Schaffhausen

spatial: Kanton Schaffhausen

en: Orthofoto Kanton Schaffhausen

it: Orthofoto Kanton Schaffhausen

de: Orthofoto Kanton Schaffhausen

fr: Orthofoto Kanton Schaffhausen

title_for_slug: orthofoto-kanton-schaffhausen

en: Kanton Schaffhausen

it: Kanton Schaffhausen

de: Kanton Schaffhausen

fr: Kanton Schaffhausen

format: WMS

value: Amt für Geoinformation Kt. SH – Geocat Harvester


strassenrichtplan-kanton-schaffhausen

en: Im Datensatz des Strassenrichtplans des Kantons Schaffhausen sind die Funktionen der einzelnen Strassen und Wege auf kantonaler wie kommunaler Ebene abgebildet; der Inhalt ist behördenverbindlich. Gemäss heute gültigem Strassengesetz (Art. 27) sind die jeweiligen Richtpläne alle 10 Jahre zu überprüfen und nötigenfalls anzupassen. Die Gemeinden können optional das Eigentum sowie den baulichen und betrieblichen Unterhalt des Strassen- und Wegnetzes (Zuständigkeiten) zusätzlich abbilden.

en: strassenrichtplan eigentum ortstafel unterhalt strassen funktion

en: Tiefbau Schaffhausen Verkehr und Infrastrukturbau

en: Strassenrichtplan Kanton Schaffhausen

it: Strassenrichtplan Kanton Schaffhausen

de: Strassenrichtplan Kanton Schaffhausen

fr: Strassenrichtplan Kanton Schaffhausen

title_for_slug: strassenrichtplan-kanton-schaffhausen

en: SH Datenmodell (INTERLIS, GeoPackage, DXF, Shapefile)

format: WFS


ubersichtsplan-kanton-schaffhausen

en: Der Übersichtsplan ist ein automatisch generierter Rasterplan, basierend auf der amtlichen Vermessung, mit einer standardisierten Darstellung. Darin enthalten sind die Grundstücksgrenzen, Gebäude, Strassen und Wege, Wald, bestockte Flächen, Gewässer und Höhenkurven (10m, ausserhalb der Bauzonen) sowie die Beschriftungen von Grundstücksnummern, Strassennamen, Flurnamen, Gewässernamen. Der Übersichtsplan liegt als Kachelplan in Graustufen oder farbig vor.

it: Amt für Geoinformation des Kantons Schaffhausen

en: geocat.ch permalink

en: Übersichtsplan Kanton Schaffhausen

it: Übersichtsplan Kanton Schaffhausen

de: Übersichtsplan Kanton Schaffhausen

fr: Übersichtsplan Kanton Schaffhausen

title_for_slug: ubersichtsplan-kanton-schaffhausen

regi

en: Regions and cities

envi

en: Environment

en: (TIF farbig)

it: (TIF farbig)

de: (TIF farbig)

fr: (TIF farbig)

en: (TIF grau)

it: (TIF grau)

de: (TIF grau)

fr: (TIF grau)


en: Die Bombardierung von Schaffhausen am 01.04.1944 erfolgte irrtümlich durch ca. 15 US-amerikanische B-24-Bomber, die rund 780 Bomben auf das Stadtzentrum von Schaffhausen abwarfen. Unterlagen der Schweizer Armee weisen aus, dass fast ausschliesslich Brandbomben 100 lb (ca. 45 kg) und Sprengbomben 100 lb (ca. 45 kg) abgeworfen wurden. Möglicherweise wurden daneben auch Stabbrandbomben INC 4 lb abgeworfen. Die genaue Abklärung der Beladung der Bomber durch Archivrecherchen ist noch nicht abgeschlossen, es wird aber davon ausgegangen, dass entweder keine oder nur sehr wenige grössere Bomben abgeworfen wurden. Die bereitgestellten GIS-Daten basieren auf historische Quellen und beinhalten dokumentierte Bombenabwürfe. Diese Informationen können als erste Grundlage für eine weiterführende Beurteilung im Rahmen von Projektierungen im Bereich Werkleitungsbau dienen.

amt-geoinformation-kanton-schaffhausen

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

en: Schweizer Armee, Lehrverband Genie/Rettung/ABC, Kommando KAMIR

fr: geocat.ch permalien

de: geocat.ch Permalink

en: Bombardierung Schaffhausen Kanton Schaffhausen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

en: (GeoPackage, DXF, Shapefile)

it: (GeoPackage, DXF, Shapefile)

de: (GeoPackage, DXF, Shapefile)

fr: (GeoPackage, DXF, Shapefile)


vekehr-velowegnetz-kanton-schaffhausen

en: Der Datensatz enthält Informationen über das Velowegnetz des Kantons und den ausserkantonalen Verbindungen der Kantonsteile Schaffhausen. Es beschreibt u.a. die Beschaffenheid der Belagsoberfläche und Führungsart des Verkehrs.

en: langsamverkehr velo individualverkehr mountainbike fahrrad

amt-geoinformation-kanton-schaffhausen

en: Office for Geoinformation Canton Schaffhausen

it: Tiefbau Schaffhausen Verkehr und Infrastrukturbau

en: Verkehr Velowegnetz Kanton Schaffhausen

it: Verkehr Velowegnetz Kanton Schaffhausen

de: Verkehr Velowegnetz Kanton Schaffhausen

fr: Verkehr Velowegnetz Kanton Schaffhausen

title_for_slug: vekehr-velowegnetz-kanton-schaffhausen

regi

de: Regionen und Städte

fr: Régions et villes

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

en: Kanton Schaffhausen


en: Informationen über das Skatingroutennetz im Kanton Schaffhausen.

en: langsamverkehr skating inline rollschuh

de: langsamverkehr skating inline rollschuh

fr: langsamverkehr skating inline rollschuh

it: langsamverkehr skating inline rollschuh

en: Tiefbau Schaffhausen Verkehr und Infrastrukturbau

en: geocat.ch permalink

it: geocat.ch link permanente

en: Verkehr Skatingrouten Kanton Schaffhausen


en: Der Risikokataster gibt eine Übersicht über alle Anlagen im Kanton Schaffhausen, die der Störfallverordnung gemäss Art. 1 [SR 814.012, StFV] unterstehen. Die sogenannten Konsultationsbereiche um risikorelevante Anlagen dienen der Koordination der Raumplanung mit der Störfallvorsorge gemäss Art. 11a StFV.

en: storfallverordnung betriebe konsultationsbereich risiko stfv chemie gefahr

en: Interkantonales Labor

it: Interkantonales Labor

de: Interkantonales Labor

fr: Interkantonales Labor

en: Risikokataster Chemie Kanton Schaffhausen

regi

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente


en: Stromproduktion aus Photovoltaikanlagen pro Gemeinde und pro Einwohner in kWh.

amt-geoinformation-kanton-schaffhausen

fr: L'Office de la géoinformation gère et publie les géodonnées du canton de Schaffhouse sous forme de géoservices OGC et de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises à l'OGD sont listées ici.

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

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

it: L'Ufficio di geoinformazione gestisce e pubblica i geodati del Cantone di Sciaffusa come geoservizi OGC e come file da scaricare. Tutti i geodati attualmente disponibili soggetti all'OGD sono elencati qui.

it: Ufficio di geoinformazione del Cantone di Sciaffusa

en: Energiefachstelle des Kantons Schaffhausen

en: Energie Solarstromproduktion pro Gemeinde und Einwohner Kanton Schaffhausen

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

fr: Énergie

it: Energia


bauland-kanton-schaffhausen

en: Die Baulanddatenbank des Kantons Schaffhausen zeigt eine Übersicht der Baulandparzellen im Kanton Schaffhausen. Die Baulanddatenbank unterstützt Kaufinteressenten, aber auch verkaufswillige Eigentümer; ist Arbeitsinstrument für Gemeinden, fürs Wohnortmarketing, Architekten, Planer etc. Die Inhalte der Baulanddatenbank basieren auf Auswertungen des Grundbuchamtes und des Amtes für Geoinformation des Kantons Schaffhausen sowie auf Angaben der Gemeinden. Die Aufbereitung der Informationen erfolgt durch die Wirtschaftsförderung des Kantons Schaffhausen.

amt-geoinformation-kanton-schaffhausen

de: Amt für Geoinformation Kanton Schaffhausen

en: Office for Geoinformation Canton Schaffhausen

fr: Office de la géoinformation du canton de Schaffhouse

en: Bauland Kanton Schaffhausen

it: Bauland Kanton Schaffhausen

de: Bauland Kanton Schaffhausen

fr: Bauland Kanton Schaffhausen

title_for_slug: bauland-kanton-schaffhausen

en: Kanton Schaffhausen

it: Kanton Schaffhausen

de: Kanton Schaffhausen

fr: Kanton Schaffhausen


en: Aufteilung der Kantonsstrassenachsen nach Strassentyp.

en: individualverkehr kantonsstrassen

de: individualverkehr kantonsstrassen

fr: individualverkehr kantonsstrassen

it: individualverkehr kantonsstrassen

en: Tiefbau Schaffhausen Verkehr und Infrastrukturbau

en: geocat.ch permalink

en: Verkehr Kantonsstrassen Kanton Schaffhausen

tran

en: Transport

en: (GeoPackage, DXF, Shapefile)


gebaudealter-kanton-schaffhausen

en: Gebäudebestand im Kanton Schaffhausen nach Gebäudealter.

en: alter jahr haus

de: alter jahr haus

fr: alter jahr haus

it: alter jahr haus

en: Amt für Geoinformation des Kantons Schaffhausen

en: Gebäudealter Kanton Schaffhausen

it: Gebäudealter Kanton Schaffhausen

de: Gebäudealter Kanton Schaffhausen

fr: Gebäudealter Kanton Schaffhausen

title_for_slug: gebaudealter-kanton-schaffhausen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

regi

en: Regions and cities


en: Die Karte der Baugrundklassen wurde 2017 auf Basis der Norm SIA 261, Ausgabe 2014, erstellt und anfangs 2018 im GIS Schaffhausen aufgeschaltet. Im Jahr 2024 wurde sie überarbeitet und aktualisiert. Bei der vorliegenden Karte handelt es sich um eine Hinweiskarte, das heisst, sie hat keine rechtliche Verbindlichkeit und ist daher von rein informativem Charakter. Die Karte der seismischen Baugrundklassen gibt einen groben Überblick, welche Gebiete im Falle eines Erdbebens einen eher günstigen bzw. eher ungünstigen Untergrund aufweisen und ob daher detailliertere Untersuchungen im Falle eines Bauvorhabens notwendig sind. Die Ausscheidung der Baugrundklassen stellt eine Vereinfachung der Untergrundverhältnisse dar und ist aufgrund des Bearbeitungsmassstabes von 1:25'000 nicht parzellenscharf. Die Karte der Baugrundklassen dient Planern (Geologen, Ingenieuren, Architekten) zur generellen qualitativen Bewertung von Standorteffekten bei Erdbeben und somit als Grundlage für die erdbebengerechte Bemessung von Tragwerken. Die Angaben der Karte sind jeweils standortspezifisch zu überprüfen. Falls lokale geotechnische Untersuchungen Abweichungen von der Baugrundklassenkarte ergeben, sollen die lokalen Befunde für die Dimensionierung der Tragwerke verwendet werden.

en: geologie baugrundklassen

de: geologie baugrundklassen

fr: geologie baugrundklassen

it: geologie baugrundklassen

amt-geoinformation-kanton-schaffhausen

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

en: Tiefbau Schaffhausen Gewässer und Materialabbau

fr: geocat.ch permalien

de: geocat.ch Permalink

envi

en: Environment

it: (GeoPackage, DXF, Shapefile)

de: (GeoPackage, DXF, Shapefile)

fr: (GeoPackage, DXF, Shapefile)


karstgebiete-kanton-schaffhausen

en: Karstgebiete: Im Kanton Schaffhausen wurden die oberflächennahen Kalkgesteinsformationen des Oberjuras (Malm) als "Karstgebiete" ausgeschieden, da diese oftmals verkarstet sind. Unter Karst versteht man kalkige Gesteinsschichten, die aufgrund von Verwitterung und tektonischen Prozessen Spalten, Höhlen und Klüfte aufweisen, die dadurch Grundwasser führen können.

amt-geoinformation-kanton-schaffhausen

en: Office for Geoinformation Canton Schaffhausen

it: Tiefbau Schaffhausen Gewässer und Materialabbau

en: Karstgebiete Kanton Schaffhausen

it: Karstgebiete Kanton Schaffhausen

de: Karstgebiete Kanton Schaffhausen

fr: Karstgebiete Kanton Schaffhausen

title_for_slug: karstgebiete-kanton-schaffhausen

regi

de: Regionen und Städte

fr: Régions et villes

en: Kanton Schaffhausen


planungszonen-kanton-schaffhausen

en: Die Planungszone (Art. 27 RPG) bezeichnet ein Gebiet, in dem Nutzungspläne erlassen oder geändert werden müssen. Die Planungszone wird von einer Behörde erlassen und ist sofort mit deren Erlass rechtswirksam. In einem mit Planungszone bezeichnetem Gebiet darf nichts unternommen werden, das die (zukünftige) Nutzungsplanung präjudizieren würde.

en: Planungs- und Naturschutzamt

it: Planungs- und Naturschutzamt

de: Planungs- und Naturschutzamt

fr: Planungs- und Naturschutzamt

en: geocat.ch permalink

it: geocat.ch link permanente

en: Planungszonen Kanton Schaffhausen

it: Planungszonen Kanton Schaffhausen

de: Planungszonen Kanton Schaffhausen

fr: Planungszonen Kanton Schaffhausen

title_for_slug: planungszonen-kanton-schaffhausen

en: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)

en: CH Datenmodell, geodienste.ch

it: CH Datenmodell, geodienste.ch

de: CH Datenmodell, geodienste.ch

fr: CH Datenmodell, geodienste.ch


forst-wald-kanton-schaffhausen

en: Hinweis auf Waldareal basierend auf der amtlichen Vermessung. Die Waldgrenzen werden im Rahmen von Projekten durch das Kantonsforstamt überprüft und vom Amt für Geoinformation nachgeführt, sind jedoch in der Regel nicht rechtsverbindlich.

en: forst waldareal

de: forst waldareal

fr: forst waldareal

it: forst waldareal

amt-geoinformation-kanton-schaffhausen

fr: L'Office de la géoinformation gère et publie les géodonnées du canton de Schaffhouse sous forme de géoservices OGC et de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises à l'OGD sont listées ici.

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

it: L'Ufficio di geoinformazione gestisce e pubblica i geodati del Cantone di Sciaffusa come geoservizi OGC e come file da scaricare. Tutti i geodati attualmente disponibili soggetti all'OGD sono elencati qui.

it: Ufficio di geoinformazione del Cantone di Sciaffusa

en: Amt für Geoinformation des Kantons Schaffhausen

en: Forst Wald Kanton Schaffhausen

it: Forst Wald Kanton Schaffhausen

de: Forst Wald Kanton Schaffhausen

fr: Forst Wald Kanton Schaffhausen

title_for_slug: forst-wald-kanton-schaffhausen

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

it: Regioni e città

envi

de: Umwelt

fr: Environnement

it: Ambiente

en: (GeoPackage, DXF, Shapefile)


gewassernetz-kanton-schaffhausen

en: Binnengewässer, Gewässernetz (derzeit in Überarbeitung)

en: wasser binnengewasser gewassernetz

de: wasser binnengewasser gewassernetz

fr: wasser binnengewasser gewassernetz

it: wasser binnengewasser gewassernetz

amt-geoinformation-kanton-schaffhausen

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

de: Amt für Geoinformation Kanton Schaffhausen

fr: Office de la géoinformation du canton de Schaffhouse

en: Tiefbau Schaffhausen Gewässer und Materialabbau

en: Gewässernetz Kanton Schaffhausen

it: Gewässernetz Kanton Schaffhausen

de: Gewässernetz Kanton Schaffhausen

fr: Gewässernetz Kanton Schaffhausen

title_for_slug: gewassernetz-kanton-schaffhausen

regi

en: Regions and cities

envi

en: Environment

it: Kanton Schaffhausen

de: Kanton Schaffhausen

fr: Kanton Schaffhausen


vernetzungsprojekte-kanton-schaffhausen

en: Die Ziele der Vernetzungsprojekte sind die landschaftstypische Lebensraumvielfalt und die Vernetzung der verschiedenen Lebensräume auf der landwirtschaftlichen Nutzfläche im Kanton Schaffhausen zu fördern.

en: vernetzung okologie landwirtschaft

de: vernetzung okologie landwirtschaft

fr: vernetzung okologie landwirtschaft

it: vernetzung okologie landwirtschaft

amt-geoinformation-kanton-schaffhausen

en: Office for Geoinformation Canton Schaffhausen

en: Landwirtschaftsamt

it: Landwirtschaftsamt

de: Landwirtschaftsamt

fr: Landwirtschaftsamt

en: geocat.ch permalink

en: Vernetzungsprojekte Kanton Schaffhausen

it: Vernetzungsprojekte Kanton Schaffhausen

de: Vernetzungsprojekte Kanton Schaffhausen

fr: Vernetzungsprojekte Kanton Schaffhausen

title_for_slug: vernetzungsprojekte-kanton-schaffhausen

it: (GeoPackage, DXF, Shapefile)

en: Kanton Schaffhausen


naturschutzinventar-kanton-schaffhausen

en: Die Grundlagenkarte der Naturschutzinventare wurde 2017-18 auf Basis der bestehenden kommunalen und kantonalen Naturschutzinventare digital erstellt und Anfangs 2019 im GIS Schaffhausen aufgeschaltet. Im vorliegenden Grundlagenplan werden im Grundsatz die rechtsgültigen und somit behördenverbindlichen Inventare abgebildet, ausser bei Gemeinden, von denen Vorprüfungen vorliegen. Die Grundlagenkarte der Naturschutzinventare gibt einen Überblick über die Inventarobjekte und -zonen im Kanton Schaffhausen. Es werden alle Objekte (gemäss Art. 8 NHG SH) und Zonen (gemäss Art. 7 NHG SH) der kommunalen und des kantonalen Naturschutzinventars (gemäss Art. 6, 6a NHG SH) abgebildet. Unter den kantonalen Inventarinhalten werden ebenfalls die Richtplanobjekte aufgeführt. Die Objekte und Zonen sind einem von 8 Lebensraumtypen zugeordnet (Trockenstandorte, Gewässer & Feuchtgebiete, Bestockung, Geotope, Landschaften, Spezifische Lebensräume oder weitere Objekte). Dem zugrunde liegt ein einheitliches kantonales Daten- und Darstellungsmodell. Die Grundlagenkarte der Naturschutzinventare dient Gemeinden, Planern und Organisationen zur Abwägung von Bauvorhaben. Gemeinden erhalten einen Überblick, was bei der nächsten Zonenplanrevision zu berücksichtigen ist.

en: raumplanung richtplan nhg lebensraum naturschutzinventar

en: Planungs- und Naturschutzamt

it: Planungs- und Naturschutzamt

fr: geocat.ch permalien

de: geocat.ch Permalink

it: geocat.ch link permanente

en: Naturschutzinventar Kanton Schaffhausen

it: Naturschutzinventar Kanton Schaffhausen

de: Naturschutzinventar Kanton Schaffhausen

fr: Naturschutzinventar Kanton Schaffhausen

title_for_slug: naturschutzinventar-kanton-schaffhausen

en: SH Datenmodell (GeoPackage, DXF, Shapefile)


en: Die Gewässerschutzkarte mit den darin aufgeführten besonders gefährdeten Gewässerschutzbereichen Au (d.h. nutzbare unterirdische Gewässer) und Ao (d.h. oberirdische Gewässer und dessen Uferbereiche), sowie Grundwasserschutzzonen und -areale dienen der nachhaltigen Bewirtschaftung der natürlichen Wasserressourcen. Sie ist das entscheidende Instrument für den planerischen Gewässerschutz und wird von den Kantonen erstellt.

en: grundwasserschutzzonen wasserressourcen grundwasserschutzareale gws gewasserschutz

amt-geoinformation-kanton-schaffhausen

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

en: Interkantonales Labor

it: Interkantonales Labor

de: Interkantonales Labor

fr: Interkantonales Labor

en: Planerischer Gewässerschutz Kanton Schaffhausen

regi

de: Regionen und Städte

fr: Régions et villes

en: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)

en: CH Datenmodell, geodienste.ch

it: CH Datenmodell, geodienste.ch


en: Um die natürliche Artenvielfalt zu erhalten und zu fördern, unterstützt der Bund Biodiversitätsförderflächen für die Qualitätsstufe II sowie für die Vernetzung. Die Daten entsprechen dem MGDM Biodiversitätsförderflächen, Qualitätsstufe II und Vernetzung

en: biodiversitatsforderflachen vernetzung qualitatsstufen landwirtschaft

amt-geoinformation-kanton-schaffhausen

it: L'Ufficio di geoinformazione gestisce e pubblica i geodati del Cantone di Sciaffusa come geoservizi OGC e come file da scaricare. Tutti i geodati attualmente disponibili soggetti all'OGD sono elencati qui.

en: Office for Geoinformation Canton Schaffhausen

it: Ufficio di geoinformazione del Cantone di Sciaffusa

en: Landw. Bewirtschaftung: Biodiversitätsförderflächen, Qualitätsstufe II und Vernetzung Kanton Schaffhausen

agri

en: Agriculture, fisheries, forestry and food

en: Regions and cities

it: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)

de: CH Datenmodell, geodienste.ch

fr: CH Datenmodell, geodienste.ch


en: Der Perimeter landwirtschaftliche Nutzflächen (LN) und Sömmerungsflächen stellt die potenziell zu bewirtschaftende Landwirtschaftsfläche, ohne die landwirtschaftlich unproduktiven Flächen dar. Die Daten entsprechen dem MGDM Perimeter LN- und Sömmerungsflächen.

en: Landwirtschaftsamt

en: geocat.ch permalink

en: Landw. Bewirtschaftung: Perimeter LN- und Sömmerungsflächen Kanton Schaffhausen

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

it: Regioni e città

de: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)


en: Im Weinbau wird mit dem Begriff Weinbezeichnung (auch Reblage genannt) ein geographisch abgegrenztes Gebiet (wie Gemeinde oder Ortsteil) bezeichnet. Die Weinbezeichnung kann auf der Weinetikette vermerkt werden.

en: weinbezeichnung weinbau reblage reben rebbau landwirtschaft

amt-geoinformation-kanton-schaffhausen

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

en: Landw. Bewirtschaftung: Reben Perimeter Weinbezeichnungen Kanton Schaffhausen

en: Kanton Schaffhausen


en: Naturereigniskataster (StorMe) Die Kantone sind gemäss Bundesgesetzgebung über den Wald und den Wasserbau verpflichtet, einen Naturereigniskataster zu führen. Mit «StorMe» stellt der Bund den Kantonen dazu ein umfassendes Werkzeug zur Verfügung. StorMe ist die schweizweit zentrale Datenbank für die Erfassung und Verwaltung von Naturereignissen für die Prozesse Hochwasser, Oberflächenabfluss, Rutschung, Sturz und Lawine. In «StorMe» werden einzelne Naturereignisse oder grössere Ereignisse erfasst, die Schäden verursacht haben oder ein beträchtliches Gefahrenpotenzial aufweisen. Dabei werden Ort und Zeitpunkt so genau als möglich erfasst und falls vorhanden mit Angaben zum Wetter, Prozess und Ablauf ergänzt. Das Aufzeichnen der Prozessräume mit GIS-Werkzeugen, der Ursachen und die Auswirkungen abgelaufener Ereignisse hilft bei der Ausscheidung potenzieller Gefahrenbereiche sowie der Abschätzung der Wiederkehrperiode von gefährlichen Prozessen. Die Inhalte aus dem Ereigniskataster sind daher eine wichtige Grundlage bei der Gefahrenbeurteilung.

en: naturgefahr erdrutsch naturereignisse hochwasser schneerutsch lawine naturprozesse

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

en: Tiefbau Schaffhausen Gewässer und Materialabbau

envi

en: Environment

it: Ambiente

fr: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)


en: Verkehrsmessungen (auch Verkehrszählungen) dienen der Ermittlung der Anzahl Fahrzeuge, die einen Strassenquerschnitt in einem bestimmten Zeitraum passieren. Verkehrsmessstellen können dauerhaft oder periodisch betrieben werden. Je nach Ausstattung bzw. Erfassungstechnologie (bspw. Radar, Detektionsschlaufen) können bis zu zehn verschiedene Fahrzeugklassen unterschieden werden. Die ermittelten Daten sind Grundlage für betriebliche und strategische Verkehrsplanungen.

en: individualverkehr verkehrsmessstellen fahrzeuge verkehrszahlung

amt-geoinformation-kanton-schaffhausen

fr: L'Office de la géoinformation gère et publie les géodonnées du canton de Schaffhouse sous forme de géoservices OGC et de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises à l'OGD sont listées ici.

en: Office for Geoinformation Canton Schaffhausen

en: Tiefbau Schaffhausen Verkehr und Infrastrukturbau

en: Verkehr Messstellen Verkehrszählung Kanton Schaffhausen

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


en: Gemäss Lärmschutz-Verordnung (SR 814.41) sind für alle Nutzungszonen Lärmempfindlichkeitsstufen zu erfassen. Die Daten basieren auf dem MGDM Lärmempfindlichkeitsstufen

en: Planungs- und Naturschutzamt

de: Planungs- und Naturschutzamt

fr: Planungs- und Naturschutzamt

en: geocat.ch permalink

en: Lärmempfindlichkeitsstufen (in Nutzungszonen) Kanton Schaffhausen

regi

en: Regions and cities

en: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)

en: CH Datenmodell, geodienste.ch


en: Standorte der Notfalltreffpunkte im Kanton Schaffhausen, als erste Anlaufstelle in einem Ereignisfall. Hier erhalten die Bürger für benötigte Unterstützung erste Hilfe und Informationen.

en: ereignis evakuation bevolkerungsschutz anlaufstelle sicherheit notlage notfalltreffpunkte panik

en: Amt für Bevölkerungsschutz und Armee

it: Amt für Bevölkerungsschutz und Armee

de: Amt für Bevölkerungsschutz und Armee

fr: Amt für Bevölkerungsschutz und Armee

en: Bevölkerungsschutz Notfalltreffpunkte Kanton Schaffhausen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

en: Kanton Schaffhausen

it: Kanton Schaffhausen

en: (GeoPackage, DXF, Shapefile, CSV)

it: (GeoPackage, DXF, Shapefile, CSV)

de: (GeoPackage, DXF, Shapefile, CSV)

fr: (GeoPackage, DXF, Shapefile, CSV)


en: Das DTM (Digitales Geländemodell) ist ein Punktraster, bei welchem jeder Punkt eine Höhe besitzt. Es bildet die Form der Erdoberfläche ab ohne Einbezug von beständigen und sichtbaren Landschaftselemente wie Bewuchs, Wälder, Hochbauten und weitere Kunstbauten. Rasterweite ist 0.5m. Absolute Höhengenauigkeit 0.15 m (einfacher mittlerer Fehler). Das DTM basiert auf Laserscanning-Daten aus Befliegung März/April 2013.

en: av schaffhausen dtm dm01 amtliche-vermessung dtm-av hohenmodell sh

amt-geoinformation-kanton-schaffhausen

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

de: Amt für Geoinformation Kanton Schaffhausen

en: Office for Geoinformation Canton Schaffhausen

fr: Office de la géoinformation du canton de Schaffhouse

en: Amt für Geoinformation des Kantons Schaffhausen

it: geocat.ch link permanente

en: DTM (Digitales Geländemodell) Kanton Schaffhausen

envi

de: Umwelt

en: Environment

fr: Environnement

en: (ASC)

it: (ASC)

de: (ASC)

fr: (ASC)

en: (XYZ)

it: (XYZ)

de: (XYZ)

fr: (XYZ)


en: Bei Schifffahrtsbeeinflussungen handelt es sich um lokalisierbare Bereiche auf Gewässern, wo die Schifffahrt rechtswirksam oder informativ beeinflusst wird. Eine Schifffahrtsbeeinflussung kann mit Hilfe von Schifffahrtszeichen materialisiert sein, das ist jedoch nicht zwingend. Bei Schifffahrtszeichen handelt es sich um Tafeln mit Sichtzeichen, verschieden ausgeprägte Schwimmkörper, Lichter, Radarreflektoren und Kardinalzeichen die eine Beeinflussung im Gewässer signalisieren. Mehrere Schifffahrtszeichen können zusammen eine Schifffahrtsbeeinflussung signalisieren. Umgekehrt ist zu beachten, dass nicht alle Schifffahrtsbeeinflussungen signalisiert werden müssen, wie etwa Uferzonen oder generelle Fahrverbote auf dem gesamten Gewässer.

en: einschrankung-binnenschifffahrt schifffahrtszeichen rhein schifffahrtsbeeinflussung informativ wiffen rechtswirksam

it: Amt für Geoinformation des Kantons Schaffhausen

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

en: Einschränkungen Binnenschifffahrt

it: Einschränkungen Binnenschifffahrt

de: Einschränkungen Binnenschifffahrt

fr: Einschränkungen Binnenschifffahrt

regi

en: Regions and cities

tran

en: Transport

de: Kanton Schaffhausen

fr: Kanton Schaffhausen

en: CH Datenmodell (Interlis, GeoPackage, DXF, Shapefile)