en:
The cold habitats of the Swiss Alps and the Arctic are undergoing change and are at risk of disappearing completely or partially in the future. Along with them, a poorly known diversity of microorganisms that have adapted to life in these supposedly hostile places. By cryopreserving microorganisms from these habitats, some of today's biodiversity can be preserved in biobanks.
The collection contains cryopreserved bacteria and fungi isolated from permafrost and active layer of Muot da Barba Peider and Val Lavirun, from the glacier forefield and glacier toe of the Damma glacier, from active layer in northern Greenland and from plastic waste in Svalbard, as well as isolates from plastic incubations in Muot da Barba Peider, northern Greenland and arctic Russian soils.

Project overview: https://www.wsl.ch/en/projects/life-at-chilly-temperatures-a-collection-of-microorganisms-from-extreme-habitats/

en: active-layer arctic bacteria biobank biodiversity collections conservation extreme-habitat fungi glaciers permafrost plastisphere swiss-alps

en: Life at chilly temperatures - A collection of microorganisms from extreme habitats

educ

en: Education, culture and sport

en: Complete collection of bacterial and fungal isolates from Permafrost, active layer and glaciers in Switzerland, Svalbard, northern Greenland and Russia.

active-layer

display_name: active-layer

arctic

display_name: arctic

bacteria

display_name: bacteria

biobank

display_name: biobank

biodiversity

display_name: biodiversity

collections

display_name: collections

conservation

display_name: conservation

extreme-habitat

display_name: extreme-habitat

fungi

display_name: fungi

glaciers

display_name: glaciers

permafrost

display_name: permafrost

plastisphere

display_name: plastisphere

swiss-alps

display_name: swiss-alps


en: This dataset consists of data related to capillary rise experiments performed with neutron radiography. There are 4 videos of capillary rise experiments as well as the files used to perform the inverse fitting with Hydrus. The videos show the upward flow of water in glass columns filled with sand and snow or sand, gravel, and snow. The videos show the 2D evolution of the unitless optical density with time. The Hydrus files were used to fit the parameter values of the Mualem-van Genuchten model. The experiments were performed at the Paul Scherrer Institute (PSI) in Villigen, Switzerland.

en: measurements pore-water snow soil transport water

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

en: Capillary rise rise experiments in snow using neutron radiography

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: Videos of the capillary rise experiments

format: ZIP

media_type: application/zip

en: Description of the videos

format: TXT

media_type: text/plain

en: The Hydrus files used for the inverse fitting of the hydraulic conductivity.

en: Descriptions of the nomenclature, Hydrus files, and videos.

measurements

display_name: measurements

pore-water

display_name: pore-water

snow

display_name: snow

soil

display_name: soil

transport

display_name: transport

water

display_name: water


en: The dataset contains measured values of soil liquid water content, matric potential, and soil texture of 40 soil samples in Davos, Switzerland. The measurements were used for determining van Genuchten parameter values through fitting of water retention curves, pedotransfer functions, and inverse fitting with Hydrus-1D.

en: alpine glide-snow-avalanche lwc matric-potential measurements soil soil-classification soil-texture

en: Soil measurements of Seewer Berg and Davos

en: Detailed information of each file in the dataset

en: Coordinates of each soil location, location of the snow profiles, and location of the snow liquid water content measurements

format: CSV

media_type: text/csv

en: Hydrus files used for the inverse fitting

en: Daily averaged values used for the direct fitting

en: Texture data of the soil locations

en: Complete list of the van Genuchten parameter values for each soil and method

alpine

display_name: alpine

glide-snow-avalanche

display_name: glide-snow-avalanche

lwc

display_name: lwc

matric-potential

display_name: matric-potential

soil-classification

display_name: soil-classification

soil-texture

display_name: soil-texture


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

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.

format: PDF

media_type: application/pdf

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

format: SERVICE

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

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

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: C-N-P-Release Treeline

title_for_slug: c-n-p-release-treeline

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

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

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

wasps

display_name: wasps


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

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

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

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

en: Spielplatz Fragebogen_Deutsch.pdf

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

en: Spielplatz Fragebogen_Französisch.pdf

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

en: Spielplatz Fragebogen_Italienisch.pdf

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

en: Spielplatz Fragebogen_Polnisch.pdf

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

en: Spielplatz Fragebogen_Arabisch.pdf

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

en: Spielplatz Fragebogen_Rumänisch.pdf

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

en: Spielplatz Fragebogen_Russisch.pdf

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

en: Spielplatz Fragebogen_Spanisch.pdf

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

en: Spielplatz Fragebogen_Türkisch.pdf

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

en: Spielplatz Fragebogen_Ukrainian.pdf

biodiversity

display_name: biodiversity

green-spaces

display_name: green-spaces


en:
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


fr: Le plan général d'évacuation hors zone (PGHZ) régit l’évacuation et le traitement des eaux hors du périmètre des égouts publics. Il localise les installations privées d'évacuation et de traitements des eaux usées ainsi que le type de bâtiments (habitat, industrie, exploitation agricole, etc.)

en: waters water-geographic

de: gewasser gewasser

fr: eaux eaux-geographie

it: acque acque-geografia

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

en: The canton of Jura publishes on Open Data Swiss various types of data of the cantonal administration that meets the principle of Open Government Data.

de: Der Kanton Jura veröffentlicht auf Open Data Swiss verschiedene Arten von Daten der kantonalen Verwaltung, die dem Prinzip von Open Government Data entsprechen.

it: Il Cantone del Giura pubblica su Open Data Swiss vari tipi di dati dell'amministrazione cantonale che soddisfano il principio degli Open Government Data.

de: Kanton Jura

en: Canton of Jura

fr: Canton du Jura

it: Canton Giura

political_level: canton

fr: Association Jurassienne des Communes

fr: Guichet cartographique - Géoportail du canton du Jura

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

spatial: Jura (JU)

fr: PGEE_Plan général d'évacuation des eaux hors zone (PGHZ)

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

fr: Accès aux données / fichiers de téléchargement

value: JU-Kt - Geocat Harvester


lieux-de-collecte-des-dechets-urbains

fr: Cette couche fournit la carte des lieux de collecte des déchets urbains. Comme lieu de collecte, on distingue les : - Conteneur (ordures ménagères) - Déchèterie - Ecopoint - Déchets carnés (centre régional) - Déchets spéciaux des ménages (centre régional) - Déchets verts (biodéchets) - Robidog(sac de déjections canines) Un attribut fournit la liste des déchets collectés par lieu.

de: naturschutzzone umweltschutz

fr: Office de l'environnement

fr: Lieux de collecte des déchets urbains

title_for_slug: lieux-de-collecte-des-dechets-urbains


itineraires-cyclables

fr: Correspond au plan sectoriel des itinéraires cyclables (PSIC) approuvé par le Gouvernement Jurassien le 4 juillet 2017. Les tracès sont mis à jour régulièrement en fonction de la réalisation du PSIC.

en: road-axis transportation

de: strassenachse transport

fr: axe-routier transport

it: strada-statale trasporto

fr: Service du développement territorial

fr: Itinéraires cyclables

title_for_slug: itineraires-cyclables

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


phytosociologie-stations-forestieres

fr: Cartographie des associations végétales (Associations phytosociologiques) issue de la réunion des détermination et des délimitations faites dans le terrain par plusieurs auteurs de cartes phytosociologiques. Ces cartes sont réalisées d'après la "Clé de détermination des stations forestières du Canton du Jura et du Jura Bernois" (Publication du Canton du Jura et du Canton de Berne en mai 1998). Réalisée en général par commune ou dans le cadre de projets par un bureau forestier mandaté.

en: forest-meadow forest

de: waldwiese forst

fr: prairie-forestiere foret

it: prato-boschivo foresta

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

fr: Phytosociologie stations forestières

title_for_slug: phytosociologie-stations-forestieres

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


fr: Le cadastre des ouvrages de protection inventorie les ouvrages qui permettent de réduire les dangers naturels pour les personnes et les objets de valeur notable. Les digues de protection contre les crues et les filets pare-pierres sont des ouvrages de protection. Les drains peuvent aussi être considérés comme des ouvrages de protection s'ils ont la fonction de stabiliser un glissement de terrain. Le cadastre des ouvrages de protection permet d'avoir une vue d'ensemble des ouvrages, ce qui facilite notamment l'organisation de leur entretien.

en: basic-assignment infrastructure

de: grundnutzung infrastruktur

fr: affectation-primaire infrastructure

it: utilizzazione-di-base infrastrutture

canton-du-jura

fr: Canton du Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: geocat.ch permalien

fr: Cadastre des ouvrages routiers ou de protection contre les dangers naturels

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società


fr: Les forêts protectrices sont des massifs forestiers qui ont une action positive reconnue dans la limitation des dangers naturels. Par leur présence, les forêts protec-trices peuvent réduire à une valeur acceptable le risque auquel sont exposés la population et les biens concernés. Les sources de danger considérées sont les chutes de pierres, les glissements de terrain, les laves torrentielles ou les écoulements hyper concentrés. Les forêts protectrices nécessitent des soins qui, vu leur fonction, sont réalisé dans l'intérêt public. L’attention portée à ces forêts et l’amélioration du suivi des aides étatiques ont rendu nécessaire la récolte d’information géographique organisée en couche de géo-données. Chaque couche a des applications différentes selon les acteurs de la gestion des forêts protectrices. Leur diffusion est dépendante de l’intérêt des diffé-rends publics cibles. Le chapitre décrit spécialement les couches des forêts protectrices mises en place pour en garantir la gestion, il décrit également d’autres couches parlant du même sujet mais ayant une importance moins affirmée ou un usage plus limité.

fr: Office de l'environnement

fr: Forêts protectrices

regi

fr: Régions et villes

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


inventaire-forestier-cantonal

fr: L’inventaire forestier cantonal (IFJU) réalisé de 2003 à 2005 fourni des informations sur l'ensemble de la forêt jurassienne (forêt et pâturage boisé) sur la base de relevés de terrain ponctuels. Les relevés ont été effectués sur la base d'une trame (grille d'inventaire) de 250m sur 250m qui couvre l'ensemble du territoire cantonal jurassien. Chaque point de la grille a fait l’objet d’un relevé spécifique à l’exception de placettes inaccessibles. Certaines données sont issues du relevé de l’IFN 3 (Inventaire forestier national 3, 2003 - 2006). Les données de l' IFN3 ont été intégrés dans la base de données "Inventaire forestier cantonal Placettes". Au total ce sont 5702 placettes qui ont ainsi été inventoriées dans le cadre de l’IFJU. Sur la base de l’inventaire forestier cantonal on peut par exemple faire ressortir les placettes qui contiennent des essences particulières ou effectuer différents calculs statistiques

fr: prairie-forestiere foret

fr: Inventaire forestier cantonal

title_for_slug: inventaire-forestier-cantonal


fr: Limites administratives des communes politiques partenaires d'un triage forestiers

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

fr: Triages forestiers_Communes partenaires

agri

fr: Agriculture, pêche, sylviculture et alimentation


fr: Les réserves forestières et îlots de vieux bois sont des instruments importants pour favoriser la diversité écologique et biologique en forêt. La description des réserves forestières sises sur le canton du Jura entre dans le cadre du projet de l'OFEV "Statistique des réserves forestières suisses". Par ce projet la confédération et les cantons veulent informer de manière active et complète des avancées de leur politique en matière de réserves forestières. Cette couche comporte l'ensemble des données originales telles qu'elles sont livrées à la Confédération ainsi que la documentation correspondante. En plus du périmètre de la réserve et des objets partiels, il existe une couche des stations forestières.

canton-du-jura

fr: Canton du Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Réserves forestières et îlots de vieux bois


fr: Le cadastre des canalisations décrit les installations d'évacuation des eaux gérées par les communes. Il est composé des canalisations, des chambres, des ouvrages spéciaux (déversoirs d'orage, stations de pompages, bassins d'eau pluviale) et des installations d'infiltration. Le cadastre des canalisations fait partie du cadastre des conduites selon l'OCGéo.

fr: eaux eaux-geographie

fr: Association Jurassienne des Communes

fr: geocat.ch permalien

fr: PGEE_Cadastre des canalisations


monument-naturel

fr: 7 arbres à feuilles monumentaux et les allées du Vorbourg (Delémont) ont été placés sous protection de l'Etat par Arrêté du 5 février 1980.

fr: Office de l'environnement

fr: Monument naturel

title_for_slug: monument-naturel

regi

fr: Régions et villes

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


plan-damenagement-local

fr: Regroupe les couches du plan d’aménagement local (PAL) suivantes : - Zones à bâtir (ex : zone d’habitation, zone d’utilité publique, zone d’activités, etc.), - Zones à bâtir particulières (ex : zone d’extraction des matériaux, zone de transport, zone de camping, etc.), - Zones agricoles particulières (ex : zone agricole B, zone agricole C, etc.), - Plans spéciaux (ex : plan de quartier, plan d’équipements), - Périmètres particuliers (ex : protection de la nature, protection des vergers, périmètres réservés aux eaux, etc.), - Patrimoine bâti (ex : bâtiments protégés, fontaines, croix, ect.), - Constatation de la limite forestière, - Patrimoine naturel (ex : haies/bosquets, arbres, cours d’eau, etc), - Informations indicatives* (ex : périmètre de protection des eaux, forêt, etc.), - Secteurs de dangers naturel Cette donnée contient également la couche des Zones à bâtir libres de construction qui est une information statistique à usage interne. * Pour les informations indicatives, les données disponibles sur Télégéodata contiennent les données des couches de références, découpé par communes.

en: local-planning land-development

de: ortsplanung landesentwicklung

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

fr: Service du développement territorial

fr: Plan d'aménagement local

title_for_slug: plan-damenagement-local


desserte-forestiere

fr: Relevé (évolutif et sans garanties) du réseau de desserte forestière au niveau cantonal. Cette donnée constitue un outil de planification et d’aide à la décision aussi bien au niveau cantonal qu’au niveau du propriétaire. La desserte est divisée en 5 catégories en fonction de l’utilisation et des caractéristiques des tronçons : - Route d’accès : elles relient les massifs forestiers de plus de 20-30 ha au réseau routier cantonal. Les routes cantonales ne sont pas classées en route d’accès. Elles sont subdivisées en 2 sous-catégories : * Route d’accès principale : Routes les plus utilisées par les camions pour accéder à la forêt et qui desservent au mieux le massif * Route d’accès secondaire : Routes d’accès pouvant être utilisées par les camions pour accéder à la forêt mais qui ne sont pas ou peu importants (massif forestier de petite taille, accès à un mauvais réseau de desserte forestière, etc.). Ils sont représentés en blanc dans le SIG - Chemin de base : Ils mènent d’une route d’accès ou d’une route cantonale au cœur d’un massif forestier de 30 à 100 ha. Les cas particuliers sont traités au cas par cas (chemin sylvo-pastoral, chemin d’accès à une ferme / pâturage, chemin avec autorisation de circuler, etc.) - Chemin : ils sont soumis à la législation forestière en forêt et sont utilisables par des camions de 40 tonnes. - Piste : tronçons terrassés, mais utilisables uniquement avec des véhicules de débardages. - Layon : tronçons non terrassés et utilisables uniquement avec des véhicules de débardages.

fr: prairie-forestiere foret

canton-du-jura

fr: Canton du Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Desserte forestière

title_for_slug: desserte-forestiere

agri

fr: Agriculture, pêche, sylviculture et alimentation


fr: La stratégie de protection et d’utilisation en matière de force hydraulique a pour but d’identifier les tronçons de cours d’eau du canton du Jura sur lesquels il est possible de développer l’exploitation hydroélectrique. Durant le développement de la stratégie, plusieurs jeux de données ont été mis au point et font chacun l'objet d'une annexe au rapport explicatif et d'un modèle de géodonnées minimal : - Installations de force hydraulique en service - Installations de force hydraulique hors service - Intérêt d'utilisation des cours d'eau jurassiens - Intérêt écologique des cours d'eau jurassiens - Possibilités d'exploitation des cours d'eau jurassiens Cette couche regroupe les 3 couches suivantes : - env_15_12_installations_fh_doubs_rehabilitation_possible - env_15_12_points_en_exploitation - env_15_12_strategie_hydroelectrique_ju (fait partie intégrante du plan directeur cantonale)

en: current-network energy

de: stromnetz energie

fr: reseau-electrique energie

it: rete-elettrica energia

fr: geocat.ch permalien

fr: Stratégie de protection et d’utilisation en matière de force hydraulique

educ

en: Education, culture and sport

fr: Éducation, culture et sport

ener

de: Energie

en: Energy

fr: Énergie

it: Energia


fr: Action proposée par le Gouvervement dans le cadre de la commémoration des 40 ans de la création du canton. Dans ce contexte chaque commune a été invitée à planter 40 arbres, principalement des chênes, sur son territoire communal. Ces plantations ont bénéficé d'un soutien financier cantonal. La périnité de ces arbres est à assurer par une protection sous la forme d'arbres isolés dans le Plan d'aménagement local. Cette couche est donc une donnée de base pour la révision des PAL.

fr: Office de l'environnement

fr: 40 ans - 40 chênes pour demain

regi

fr: Régions et villes

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


etat-des-remaniements-parcellaires

fr: Indique l'état d'avancement des remaniements parcellaires dans le canton pour les zones agricoles. Un remaniement peut également comprendre des travaux d'améliorations foncières (AF).

en: agricultural-zone agriculture

de: landwirtschaftszone landwirtschaft

fr: zone-agricole agriculture

it: zona-agricola agricoltura

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

fr: Service de l'économie rurale

fr: Etat des remaniements parcellaires

title_for_slug: etat-des-remaniements-parcellaires


fr: Cette base de données intègre les interventions sylvicoles qui devront être appliquées au peuplement forestier dans le cadre d'une gestion durable et proche de la nature. Un peuplement forestier se définit comme un collectif homogène d'arbres se distinguant nettement de son voisinage par son mélange des essences, son âge et sa structure (+ surface minimale de 50 ares). Les interventions sylvicoles sont définies dans le plan de gestion forestière valable 15 ans. L’année de la planification sylvicole diffère d'un propriétaire à un autre.

fr: prairie-forestiere foret

canton-du-jura

fr: Canton du Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Plan de gestion forestière, peuplement forestier

agri

fr: Agriculture, pêche, sylviculture et alimentation


fr: Emplacement des panneaux des réserves naturelles cantonales.

fr: geocat.ch permalien

fr: Réserves naturelles - Emplacement des panneaux


fr: Réserves naturelles et zones de protection paysagère du canton du Jura faisant l'objet d'un arrêté les mettant sous la protection de l'Etat. L'Office de l'environnement travaille actuellement sur la mise à jour des arrêtés de protection et des périmètres de certaines réserves naturelles et zones de protection paysagère. Dans la même démarche, les biotopes marécageux (bas-marais / haut-marais) ne bénéficiant pas encore d'un statut de protection au niveau cantonal seront classés en tant que réserve naturelle.

fr: Office de l'environnement

fr: Réserves naturelles et zones de protection paysagère cantonales

regi

fr: Régions et villes


fr: Carte des zones et secteurs de protection des eaux souterraines. Elle définit les mesures d'organisation du territoire relatives aux eaux, selon l'annexe 4 de l'Ordonnance fédérale du 28 octobre 1998 sur la protection des eaux, et notamment: - Les secteurs Au de protection des eaux souterraines, soit les secteurs dans lesquels des ressources en eau potable ou en eau d'usage industriel exploitées ou exploitables risquent d'être altérées du point de vue qualitatif par des écoulements d'eaux usées insuffisamment épurées, des huiles minérales, des produits chimiques, etc., et du point de vue quantitatif par des fouilles, des corrections de cours d'eau, etc. Ces secteurs ont été légalisés en 1976; - Les zones de protection des eaux souterraines, définies pour la protection des captages publics. Ces zones sont subdivisées en zone S1 (zone de captage), S2 (zone de protection rapprochée) et S3 (zone de protection éloignée), Sh (zone à haute vulnérabilité pour les captages karstiques) et Sm (zone à vulnérabilité moyenne pour les captages karstiques); - Les aires Zu de protection des eaux souterraines, qui couvrent au moins 90% de l'aire d'alimentation d'un captage; - Les périmètres de protection des eaux souterraines, qui sont délimités de manière provisoire (captages en réserve ou zones de protection à l'étude). La carte est indicative; les plans détaillés consultables dans les communes ou à l'ENV font foi. Les zones sont progressivement légalisées, avec une mise à l'enqête publique. L'ensemble des zones, légalisées ou en préparation, doivent être prises en compte dans toute décision administrative ayant un impact potentiel sur les eaux souterraines. Les captages publics, sources ou puits, sont également indiqués, de même que leur classe de débit La couche permet également de déterminer les zones sur lesquelles les traitements phytosanitaires sont limités pour la protection des eaux souterraines. Ces zones correspondent aux zones de protection des eaux S1, S2, S3, Sh ou Sm en vigueur ou en préparation ainsi qu'aux périmètres de protection et aux aires d'alimentation souterraine Zu.

en: waters water-geographic

de: gewasser gewasser

fr: eaux eaux-geographie

fr: Zones et secteurs de protection des eaux souterraines

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


fr: Les surfaces d'assolement (SDA) représentent les meilleures terres agricoles en Suisse. Pour être classées SDA, les terres agricoles doivent répondre à un certain nombre de critères. Chaque canton suisse doit conserver un quota de SDA. Le quota pour le canton du Jura est fixé à 15'000 ha. Une étude de base a été réalisée en 1986 par l'institut agronomique de Zürich-Reckenholz pour le plan directeur cantonal (précision carte 1 :25'000) Ils ont classé les SDA en 3 catégories selon leur qualité 1- 2 -3. Seules les SDA 1 et 2 sont représentées dans cette couche. Dès le moment où une SDA passe dans le périmètre de la zone à bâtir elle disparaît de cette couche même si elle n'est pas construite. Les SDA sont figées et archivées chaque année. Afin d'améliorer la précision des SDA 1 et 2, une nouvelle saisie des données sur la base de la couverture du sol et des cartes 1:25'000 de 1986 a été réalisée en 2018. Cette actualisation de l’inventaire cantonal a été validée par l’Office fédéral du développement territorial (ARE) en 2020.

fr: zone-agricole agriculture

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

en: The canton of Jura publishes on Open Data Swiss various types of data of the cantonal administration that meets the principle of Open Government Data.

de: Der Kanton Jura veröffentlicht auf Open Data Swiss verschiedene Arten von Daten der kantonalen Verwaltung, die dem Prinzip von Open Government Data entsprechen.

fr: Service du développement territorial

fr: Surfaces d'assolement 1 et 2


circulation-motorisee-en-foret

fr: La circulation des véhicules motorisés est interdite en forêt par la législation fédérale. Néanmoins, la loi cantonale sur les forêts permet aux communes d'autoriser la circulation aux véhicules motorisés à certaines conditions. La couche décrit les routes forestières ouvertes à la circulation motorisée et qui servent d'accès à des zones de détente reconnues, à des fermes-auberges, etc. dans le cadre d'un plan de signalisation

fr: prairie-forestiere foret

de: Kanton Jura

en: Canton of Jura

fr: Canton du Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Circulation motorisée en forêt

title_for_slug: circulation-motorisee-en-foret

agri

fr: Agriculture, pêche, sylviculture et alimentation


fr: Plan sectoriel des chemins de randonnée pédestre. Approuvé par le gouvernement le 10 septembre 2002 et par le parlement le 2 décembre 2002 Le plan est directement adapté par le Service du développement territorial (SDT) à mesure qu'il est adapté ou corrigé sur le terrain.

fr: axe-routier transport

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

fr: Chemins de randonnée pédestre

regi

fr: Régions et villes

tran

fr: Transports


fr: L'inventaire recense tous les sites archéologiques et paléontologiques actuellement connus sur le territoire cantonal, en application de la Loi sur la protection du patrimoine archéologique et paléontologique du 27 mai 2015 (RSJU 445.4). L'inventaire distingue entre deux catégories de sites: catégorie 1: sites identifiés; catégorie 2: sites présumés, dont la nature n'a pas encore pu être clairement établie. Tout projet de construction, de terrassement, de viabilisation, de défrichement ou de modification touchant un site recensé dans l'inventaire doit être annoncé préalablement à l'Office de la culture. En cas de doute relatif à l'atteinte à un site, l'Office de la culture est l'autorité compétente à consulter. Lorsqu'un projet de construction ou d'aménagement concerne un site inventorié en catégorie 1 et que celui-ci nécessite une investigation scientifique (fouille, sondage, documentation), le propriétaire peut, dans certaines circonstances, être amené à participer au financement de cette étude. Les conditions sont détailées dans la législation. Pour toute information supplémentaire concernant l'inventaire, ou pour des informations de détail sur un site recensé, adressez-vous à l'Office de la culture, Section d'archéologie et paléontologie

fr: Office de la culture

fr: Inventaire des sites archéologiques et paléontologiques

regi

de: Regionen und Städte

en: Regions and cities

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


geotopes-geomorphologiques

fr: Inventaire des géotopes géomorphologiques du Canton du Jura selon leur importance (nationale, régionale, locale) et en fonction de leur type. Les géotopes sont des portions de la géosphère délimitées dans l'espace et d'une importance géologique, géomorphologique ou géoécologique particulière. Ils sont des témoins importants de l'histoire de la Terre et donne un aperçu sur l'évolution du paysage et du climat. Les géotopes géomorphologiques sont les formes et ensembles de formes du relief. Il s'agit, entre autres, des cluses, vallées sèches, emposieux, gouffres, crêts, ruz, combes. L'inventaire des géotopes géomorphologiques est l'un des trois volets de l'inventaire cantonal des géotopes. Les 2 autres volets traitent des géotopes géologiques et des géotopes spéléologiques.

en: swiss-geological-survey geology

de: landesgeologie geologie

fr: service-geologique-national geologie

it: servizio-geologico-nazionale geologia

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

fr: Office de l'environnement

fr: Géotopes géomorphologiques

title_for_slug: geotopes-geomorphologiques

de: Umwelt

en: Environment


fr: Le territoire cantonal est découpé en région, chacune couverte par un service d'intervention et de secours (SIS) composé de sapeurs-pompiers formés et équipés pour avoir en tout temps la capacité de première intervention dans leur secteur. Il faut rappeler que les SIS sont constitués d'hommes et de femmes volontaires qui effectuent ce service en plus de leurs activités professionnelles. Leur présence et leur engagement permettent aujourd'hui d'assurer une couverture du territoire afin que chaque citoyen et citoyenne puissent bénéficier de prestations de secours de qualité et de proximité.

fr: affectation-primaire infrastructure

canton-du-jura

fr: Canton du Jura

fr: ECA - Jura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Arrondissements d'inspection des services de défense contre l'incendie et de secours (SIS)

soci

fr: Population et société


carte-des-dangers

fr: Plusieurs données de base élaborées par le Canton sont utiles à l’appréciation des dangers naturels : - Les cartes indicatives des dangers couvrent tout le canton. Elles désignent (en rose pâle) tous les territoires soumis aux dangers naturels gravitaires (géologique et lié à l’eau), sans distinction d’intensité ; - Les cartes des dangers sont plus détaillées : elles prennent en compte la probabilité et l’intensité du danger. Mais elles ne sont établies que dans les zones habitées et pour les infrastructures importantes. Cinq niveaux de dangers sont alors donnés : - Rouge : danger élevé ; - Bleu : danger moyen ; - Jaune : danger faible ; - Hachuré jaune : danger résiduel ; - Pas de couleur : aucun danger connu ou danger négligeable. - Les couches « cotes de protection » indique les niveau d’eau auxquels il faut s’attendre pour différents temps de retour de crues (TR 30 ans, 100 ans, 300 ans). L’altitude de l’inondation est donnée sous forme de courbes de niveaux en m.s.m (mètres sur mer). Dans le cadre des procédures de permis de construire, elles sont utilisées par les autorités compétentes pour fixer les mesures de « protection objet » à respecter. La couche « CD et CID Synthèse » regroupe toutes les cartes des dangers et les cartes indicatives des dangers pour tous les phénomènes (chutes de pierres et blocs, érosion des berges, glissement permanent, glissement spontané, inondation, effondrement). La couche « CD et CID par type de danger » superpose la carte de danger et la carte indicative de danger pour chaque phénomène pris individuellement (par exemple : inondation). Pour les effondrements, seuls la carte indicative est disponible.

en: hazard-map hazard

de: gefahrenkarte gefahren

fr: carte-des-dangers danger

it: mappa-dei-pericoli pericoli

fr: geocat.ch permalien

fr: Carte des dangers

title_for_slug: carte-des-dangers

regi

fr: Régions et villes


fr: Etat de réalisation du plan d'action communal pour chaque commune, avec possibilité d'accéder directement au document approuvé par le Département de l'environnement.

fr: reseau-electrique energie

fr: Service du développement territorial

fr: Plan d'action communal dans le domaine de l'énergie

educ

de: Bildung, Kultur und Sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

ener

fr: Énergie

envi

fr: Environnement

fr: Accès aux données / fichiers de téléchargement


repertoire-des-biens-culturels-rbc

fr: Le Répertoire des biens culturels (RBC) est l’inventaire indicatif des objets du patrimoine bâti qui sont considérés comme dignes de protection. La fiche d’inventaire du RBC comprend les données nécessaires à l’identification de l’objet (commune, localité, adresse, numéro de parcelle, coordonnées). Elle donne une brève description qui met en évidence l’intérêt patrimonial de l’objet. Elle attribue une cotation à l’objet considéré en le reconnaissant d’importance nationale, régionale ou locale. Enfin, une grille relative au classement éventuel de l’objet permet de déterminer s’il est monument historique protégé par le Canton et/ou la Confédération. Elle indique également le cas échéant si l’objet est distingué comme élément individuel à préserver par l’Inventaire des sites construits à protéger en Suisse (ISOS).

canton-du-jura

fr: Le canton du Jura publie sur Open Data Swiss différents types de données de l'administration cantonale qui répondent au principe de l'Open Government Data.

it: Il Cantone del Giura pubblica su Open Data Swiss vari tipi di dati dell'amministrazione cantonale che soddisfano il principio degli Open Government Data.

fr: Canton du Jura

fr: Office de la culture

fr: Répertoire des biens culturels (RBC)

title_for_slug: repertoire-des-biens-culturels-rbc


sites-sous-videosurveillance

fr: Site sous vidéosurveillance : il s'agit des vidéosurveillances des entités soumises à la la loi cantonale sur la protection des données (CPDT-JUNE). Ce qui correspond principalement aux administrations cantonales et communales. Le Préposé à la protection des données et à la transparence (PPDT) propose un règlement type pour élaborer la base légale et un formulaire en ligne pour finaliser le processus de vidéosurveillance. Les caméras posées par des privés n'entrent pas dans le champ de compétence du PPDT et n'apparaissent pas ici.

en: army-logistics-center safety

de: rekrutierung sicherheit

fr: armee-centre-logistique-alc securite

it: esercito-centro-logistico sicurezza

canton-du-jura

it: Canton Giura

fr: Guichet cartographique - Géoportail du canton du Jura

fr: Sites sous vidéosurveillance

title_for_slug: sites-sous-videosurveillance

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico


fr: Détermination de la vocation attribuée à chaque secteur de forêt dans le cadre du Plan directeur cantonal des forêts (PDCF). La vocation définit un objectif central et à long terme attribué par les autorités pour une surface de forêt. Synthèse entre les différentes fonctions de la forêt, la carte cantonale des vocations forestières met en évidence les secteurs faisant l’objet d’un intérêt public particulier. Elle permet de fixer les priorités d’action des autorités par secteur et de planifier des mesures opérationnelles. Les surfaces de forêts et pâturages boisés non concernées par une des 4 vocations décrites (protection physique, nature-paysage, accueil ou utilisation particulière) obtiennent une vocation "production de bois" ou "sylvo-pastorale".

en: forest-meadow forest

de: waldwiese forst

fr: prairie-forestiere foret

fr: Office de l'environnement

fr: geocat.ch permalien

it: geocat.ch link permanente

fr: Plan directeur cantonal des forêts - Vocations forestières

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

regi

fr: Régions et villes

it: Regioni e città

envi

it: Ambiente


nature-forestiere-indicative

fr: La carte indique, de manière indicative, les surfaces considérées comme forêts et donc soumises à la législation forestière. La carte et les informations contenues dans la base de données sont purement indicatives et n'ont pas de portée juridique. Elles ne peuvent être utilisées que dans un but d'information, de documentation et de consultation. La nature forestière (Forêt & Pâturage boisé) de la couche « Divisions_forestieres » est arrêtée sur la base de cette couche.

it: prato-boschivo foresta

fr: Nature forestière indicative

title_for_slug: nature-forestiere-indicative

fr: Environnement

fr: Accès aux données / fichiers de téléchargement