en:
Summary
This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.
 Main model characteristics
The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.
 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.
 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.
 References
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6
Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

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

de: EnviDat

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

envi

de: Umwelt

en: Environment

de:
Resource Title: Python scripts for data visualization
    Size: 21542 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/acb8a9ee-2499-4892-a6ea-79d7381019d4/download/python_scripts_plotting.zip
    Description: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

de:
Resource Title: Readme
    Size: 23594 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/8be31ec0-9d80-4995-be16-c6e1704144fb/download/readme.txt
    Description: Meta data

de:
Resource Title: Model code
    Size: 38463 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/9d6a4ef1-c0fa-46bf-9479-43bbf1d13964/download/python_scripts_model.zip
    Description: Model Sublimation and Model Air Parcel (python scripts)

de:
Resource Title: Data
    Size: 2993639 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/6d387739-0552-425f-90ac-584c2f8330d0/download/data_processed.zip
    Description: Modeled data including the data shown in the figures of the related research article

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes


$oid: OBSOLETE

en:
The files correspond to the data and R-script used for the analyses of the following paper "Feasting on the ordinary or starving for the exceptional: phenological synchrony between spongy moth and budburst of European trees in a warmer climate" published in Ecology and Evolution by Vitasse et al. 2023.
There are three zip files corresponding to the Temperature data, phenology/preference/performance tests and R-Scripts for the analyses.
Input data:
'Synchrony_Cuttings_Pheno.txt':

en: phenology spongy-month budburst hatch chilling

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: Synchrony between spongy moth hatching and leaf phenology of temperate trees

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

fr: Environnement

it: Ambiente

de:
Resource Title: Phenology and performance/preference tests Data
    Size: 7058 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/464b7325-15da-49ed-8e50-9c1be08a3d20/download/phenology_performance_preference-tests_data.zip
    Description: -"Synchronex_Cuttings_Pheno.txt" provides the budburst date ('Stage 2') of each twig of the six studies species in the four different temperature treatments ("ambient", "a+5"=Ambient +5°C, 'Greenhouse-5'= Greenhouse at temperature >5°C, 'Greenhouse_10' = Greenhouse at temperature >10°C); 'Success' give the percentage of buds within the twig that succeeded to reach at least stage 2 during the experiment.

'Synchronex-Gypsy.txt' provides the number of eggs that have hatched at each monitoring date (Day of the year in columns); "DOY_hatch_1" corresponds to the first DOY when at least one egg has hatched; "Replicate_egg_mass" correspond to the egg mass replicate (1 to 5)

'PerformanceTest_GypsyMoth.txt' provides the biomass in mg of the caterpillars fed with fresh leaves of each tested tree species during one week. "Fresh_alive" is the biomass of only the living caterpillars after 1 week and "Freshpermoth" corresponds the weight per living caterpillar (Fresh alive/Nalive)

'PreferenceTest_All_species.txt' provides the total surface of leaf disc of each tested tree species remaining after exposing 5 caterpillars to these leaves during 24H. "Total_area" is the surface of the disc of each species measured after 24h exposed to the spongy moth first instars. For each species 'control' means the surface of the disc after 24H without any exposure to the larvae. 'EatenPercent correspond to the percentage surface loss compared to the control.

format: ZIP

media_type: application/zip

de:
Resource Title: Temperature data Spongy moth experiment
    Size: 84293 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/3891fb6e-eb1d-4835-80bf-e8ae0c85164c/download/temperature.zip
    Description: 4 files with hourly temperature recorded at the height of buds in each of the four temperature treatments:
- Winter6: greenhouse where temperature was kept >6°C over winter
- Winter10: greenhouse where temperature was kept >10°C over winter
- OTC_Ambient: Open Top Chamber at Ambient temperature
- OTC_Warm: Open Top Chamber at +3.5°C warmer temperature

de:
Resource Title:
    Size: 19723 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/6680e96d-e720-4e07-b844-ba19e2de693e/download/r-scripts.zip
    Description: 3 R-Scripts used for the analyses of the temperature, phenology and performance/preference tests

budburst

display_name: budburst

chilling

display_name: chilling

hatch

display_name: hatch

phenology

display_name: phenology

spongy-month

display_name: spongy-month


en:
The fate of plastic in the environment is of global concern, because its production recently has
increased strongly and it accumulates in terrestrial and aquatic ecosystems. Although some knowledge on
its role in aquatic and terrestrial ecosystems was gained in the recent decade, hitherto very little is known
about the impact of micro and nanoplastics in forest ecosystems.
The aim of this pioneering project was to explore if nanoplastics are taken up by forest trees species
through leaves or roots. In greenhouse experiments, we exposed leaves or roots of seedling of two forest
trees species to solutions with highly 13C-labelled polystyrene nanoparticles (13C-nPS, 99 atom%) and
examined if they were incorporated in different above- and belowground tissues.
Treated part of the trees for both species showed significant 13C-enrichment, indicating that trees take up nanoparticles. However, the overall 13C signal strength in tissues that were not exposed to the 13C label remained low (Δδ13C-1‰) and was confined to a few seedlings, leaving it ambiguous whether nanoplastic transport occurs or not.
We acknowledge that the new method developed might be not sensitive enough to unequivocally detect
mechanisms of nanoplastic uptake and transport at environmentally realistic concentrations.

en: uptake polystyrene nanoplastic 13c-labelling forest-trees

en: Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast)

format: XLS

forest-trees

display_name: forest-trees

nanoplastic

display_name: nanoplastic

polystyrene

display_name: polystyrene

uptake

display_name: uptake


en: This dataset includes gridded data on snow depth (m), snow water equivalent (mm), runoff from snow melt (mm) and snow cover fraction for Swtzerland. The data is spanning the water years 2016-2022 at a high spatial resolution of 250 m. Data are stored as daily results.

en: oshd snow-depth-distribution seasonal-snow-data snow-cover-fraction snow-melt

en: Seasonal snow data for Switzerland OSHD - FSM2sohd

oshd

display_name: oshd

seasonal-snow-data

display_name: seasonal-snow-data

snow-cover-fraction

display_name: snow-cover-fraction

snow-depth-distribution

display_name: snow-depth-distribution

snow-melt

display_name: snow-melt


en:
The R script eemma.R, which implements Ensemble End-Member Mixing Analysis (EEMMA) to estimate source fractions in mixtures, exploiting information contained in time-series correlations among tracer time series.
A brief user's guide, a demonstration script, and a demonstration data set are also provided, to accompany Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.
The user's guide is available for public use under Creative Commons CC-BY-SA.  Public use of the scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

en: stable-isotopes emma mixing-models tracers end-member-mixing-analysis eemma

en: eemma.R, an R script for Ensemble End-Member Mixing Analysis

de:
Resource Title: eemma vignette script
    Size: 4457 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/a96e9b19-9fee-4b21-b36c-5f7f84a4fb37/download/eemma_vignette_script.r
    Description: An R script for the vignettes (simple data analysis demonstrations) shown in the user's guide

format: OCTET

de:
Resource Title: vignette data
    Size: 1659 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/f72873bb-b4f2-4cce-a408-8d53f54bdbec/download/vignette_data.txt
    Description: A simple data set for the vignette script

format: TXT

media_type: text/plain

de:
Resource Title: eemma.R
    Size: 46043 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/af04514c-75bb-4fbb-a5d2-4b25fcadf32f/download/eemma.r
    Description: An R script that performs ensemble end-member mixing analysis

de:
Resource Title: eemma user's guide
    Size: 501164 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/8df18f5d-c902-4acc-a8ee-b94324a043a1/download/eemma-users-guide.pdf
    Description: A brief user's guide to EEMMA, with illustrations using a simple data set

format: PDF

media_type: application/pdf

eemma

display_name: eemma

emma

display_name: emma

end-member-mixing-analysis

display_name: end-member-mixing-analysis

mixing-models

display_name: mixing-models

stable-isotopes

display_name: stable-isotopes

tracers

display_name: tracers


en:
We have analysed past transformations in Switzerland in four environmental domains, with the aim to
draw conclusions for current challenges, such as the net‐zero transformation. The data comprise transcripts of interviews with experts in the field of biodiversity, forests, landscape and natural hazard research.

en: transition biodiversity enabling-factors hindering-factors natural-hazards forest landscape

en: ANEZET: Analysing Net-Zero Transformations

biodiversity

display_name: biodiversity

enabling-factors

display_name: enabling-factors

forest

display_name: forest

hindering-factors

display_name: hindering-factors

landscape

display_name: landscape

natural-hazards

display_name: natural-hazards

transition

display_name: transition


en: Data and scripts used by Scherrer et al. 2023 in the publication 'Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition'. The analysis is based on data about the tree species composition of the canopy layer in the NFI4 and information about the potential natural forest of the sites based on the NaiS classification system.

en: nfi nais naturalness protective-forest tree-species-composition

en: Naturalness of tree species composition in protective forests

envi

en: Environment

de:
Resource Title: Scherrer et al. 2023 - Data for analysis and figures
    Size: 1423750 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ac3838dc-4a0b-41b7-8766-4c95c09a3f32/resource/3b7874ba-014c-435c-883a-c36976c4c86d/download/scherrer_et_al_2023_data.zip
    Description: This archive contains all the data needed to reconstruct the analysis and figures of
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

de:
Resource Title: Scherrer et al. 2023 - Scripts
    Size: 21206 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ac3838dc-4a0b-41b7-8766-4c95c09a3f32/resource/fcac80aa-cd04-4cc0-91e3-315f1011292d/download/scherrer_et_al_2023_scripts.zip
    Description: This archive contains all the R-scripts to run the analysis and reconstruct the figures from
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

nais

display_name: nais

naturalness

display_name: naturalness

nfi

display_name: nfi

protective-forest

display_name: protective-forest

tree-species-composition

display_name: tree-species-composition


en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

en: snow-density model-validation-data snow-depth snow-water-equivalent model-calibration-data

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

de: EnviDat

en: SWE2HS model calibration and validation data

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent


en: Potential release files and the artificial RAMMS avalanche simulation output files as well as exposure geodataframe for the case study region of Ortner et al. 2022. Furthermore, all the necessary files to run the risk model Climada Avalnache which code is located at https://github.com/CLIMADA-project/climada_papers.

en: risk avalanche-hazard-mapping hazard-indication-mapping climada avalanche

en: Large-scale risk assessment on snow avalanche hazard in alpine regions

envi

de: Umwelt

avalanche

display_name: avalanche

avalanche-hazard-mapping

display_name: avalanche-hazard-mapping

climada

display_name: climada

hazard-indication-mapping

display_name: hazard-indication-mapping

risk

display_name: risk


vineyard-plots-in-southern-switzerland

en: Geospatial vector data (shapefile) representing the cadastral plots in the Canton Ticino and the Moesa region (southern Switzerland) having a part of the surface occupied by vineyards in the years 1989 and/or 2020 according to the corresponding edition of the Swiss national topographic maps in the scale 1:25,000 and to the topographic landscape model of Switzerland swissTLM3D (Federal office of topography Swisstopo). In the attribute table there is many variables which describe the topography of the site, the characteristics of the plots and the evolution of the wine growing area inside the plot between 1989 and 2020. Coordinate system: EPSG:2056 - Swiss CH1903+ / LV95.

en: urbanisation urban-sprawl vineyards land-use-change agricultural-land-abandonment

en: Vineyard plots in southern Switzerland

title_for_slug: vineyard-plots-in-southern-switzerland

agricultural-land-abandonment

display_name: agricultural-land-abandonment

land-use-change

display_name: land-use-change

urban-sprawl

display_name: urban-sprawl

urbanisation

display_name: urbanisation

vineyards

display_name: vineyards


en:
Abstract
Snow and hydrological modeling in alpine environments remains a challenge because of the complexity of the processes complexity affecting the mass and energy balance. This study examines the influence of snowmelt on the hydrological response of a high-alpine catchment of 43.2 km2 in the Swiss Alps during the water year 2014-2015. Based on recent advances in Alpine3D, we examine how modeled snow distributions, and modeled liquid water transport within the snowpack influence runoff dynamics. By combining these results with multi-scale field data (snow lysimeter data, distributed snow depths and streamflow), we demonstrate the added value of a more realistic representation of snow distribution at the onset of melt season. At the site scale, snowpack runoff is well simulated when the snowpack mass balance errors are corrected (R2 = 0.95 vs. R2 = 0.61). At the sub-basin scale, a more heterogeneous snowpack leads to a more rapid runoff pulse originated in the shallower areas while an extended melting period (by more than a month) is caused by slower snowmelt from deeper areas. This result is a marked improvement over results obtained using a less heterogeneous snow distribution (i.e., traditional precipitation interpolation method). Catchment hydrological response is also improved by the more realistic representation of snowpack heterogeneity (Nash coefficient of 0.85 vs. 0.74), even though the calibration process smoothens out the differences.
The added value of a more complex liquid water transport scheme is obvious at the site scale but decreases at the sub-basin and basin scales. Our results highlight not only the importance but also the difficulty of getting a realistic snowpack distribution even in a well-instrumented area and present a model validation from multi-scale experimental datasets.

en: snowmelt spatial-variability snow-modeling complex-topography hydrological-response

en: Influence of slope-scale snowmelt on catchment response simulated with the Alpine3D model

complex-topography

display_name: complex-topography

hydrological-response

display_name: hydrological-response

snow-modeling

display_name: snow-modeling

snowmelt

display_name: snowmelt

spatial-variability

display_name: spatial-variability


en: This data includes (1) Scripts to aggregate landscape resistance layers into squared and hexagonal grids (i.e., different representations and resolutions), (2) Input resistance layers and focal nodes in .txt format to run in Circuitscape (Python implementation v4.0.5). Circuitscape is a software tool for modeling and analyzing landscape connectivity, which simulates movement of organisms across landscapes by estimating resistance to movement across each point of the landscape. (3) Scripts for the ecological network analysis, and (4) environmental predictors for amphibian whole-life cycle habitats used to describe the local environment for BGI design (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related).

en: biodiversity network-analysis urban-planning ecological-corridors ecosystem-services circuit-theory

en: Multi-Scale Prioritization framework for Urban Blue-Green Infrastructure Planning to Support Biodiversity: Data & Codes

de:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modelling - part 2
    Size: 20335272 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/1283e651-6999-46ad-b23d-0e81c593a90e/download/2_network-analysis.zip
    Description: The zipped folder includes the script to create and analyse the networks from Circuitscape outputs. The subfolders “Boundaries”, “Layers”, and “Reference_net” contain files either called by the code or created in the process. The subfolder “Outputs_from_Circuitscape” contains the outputs from Circuitscape including node and branch cumulative currents in a network format.

de:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modeling - part 1
    Size: 247430561 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/e364cf62-5561-4b4d-8909-0977b3da60f3/download/1_resistance_layers.zip
    Description: The zipped folder includes the script to aggregate the resistance layers into squared and hexagonal grids. The subfolders “Boundaries”, “Layers”, “Reference_grids”, and “Resistance_from_SDMs” contain files either called by the code or created in the process.The subfolder “Inputs_for_Circuitscape” contains the inputs to run Circuitscape, after doing some subsequent processing steps in QGIS (listed in the R script) with the files created with the script.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

ecosystem-services

display_name: ecosystem-services

network-analysis

display_name: network-analysis

urban-planning

display_name: urban-planning


en:
This dataset contains the values of several chemical elements (Mg, Al, Si, S, K, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Sr, Tl, Pb, Bi) measured in the latewood of tree rings of Mongolian oak from Harbin, China, at a 5-year resolution. Due to the lack of a suitable reference material for wood, absolute concentration was not calculated, and the ratio between the chemical element and 13C was taken as proxy for the element signal.
In Harbin, one of the largest cities and most important industrial centers in northeastern China, air quality monitoring systems were built only by the end of 2015 to meet the national requirements. Thus, dendrochemical analyses could be used as a tool to complement for the lack of air quality data over longer periods of time, allowing for the reconstruction of the temporal trend of trace metals. Our main scopes were to: (a) assess the chemical composition of Quercus mongolica Fisch. ex Ledeb. tree rings from Harbin using a recently developed system of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), (b) identify the main chemical elements which
derived from air pollution and may be used as indicators over the period 1965–2020 in Harbin, while excluding those that were controlled by physiological processes in the tree, and (c) reconstruct the history of pollution in Harbin by comparing the tree-ring chemical composition of recent decades with that of previous decades, in trees growing in the highly polluted city of Harbin and in trees growing in a control site 90 km away from major pollution sources.
Briefly, the temporal trend of some elements was influenced by physiological factors, by environmental factors such as pollution, or influenced by both. Mg, K, Zn, Cu, Ni, Pb, As, Sr and Tl showed changes in pollution levels over time.

en: air-pollution tree-rings dendrochemistry dendrochronology laser-ablation

en: Tree-ring laser ablation data

envi

en: Environment

format: CSV

air-pollution

display_name: air-pollution

dendrochemistry

display_name: dendrochemistry

dendrochronology

display_name: dendrochronology

laser-ablation

display_name: laser-ablation

tree-rings

display_name: tree-rings


en: In the dry Pfynwald forest a long-term experiment of WSL was initiated in 2003 with a set of irrigated and non-irrigated plots. Forest Entomologie WSL made several investigations, one of them on the effect of irrigation (or conversely of drought) on the biodiversity of epigaeic arthropods such as ground beetles and spiders. In addition, its effects were also assessed by counting galls formed by gall wasps on pubescent oak.

en: quercus-pubescens araneae drought gall-wasps cynipidae carabidae pinus-sylvestris

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: Diversity of ground beetles and spiders as well as cynipid oak gall formation on irrigated and non-irrigated plots in a dry mixed Scots pine forest

araneae

display_name: araneae

carabidae

display_name: carabidae

cynipidae

display_name: cynipidae

drought

display_name: drought

gall-wasps

display_name: gall-wasps

pinus-sylvestris

display_name: pinus-sylvestris

quercus-pubescens

display_name: quercus-pubescens


en:
Topic of Survey
The data at hand on energy cooperatives in Switzerland were collected in 2016 as part of the project "Collective financing of renewable energy projects in Switzerland and Germany" of the National Research Programme 71 "Managing Energy Consumption". The cooperatives were surveyed on their organizational structure, their activities in electricity and heat generation, their finances, the political context and their assessments of the future.
 Survey Method
The survey was targeted at all energy cooperatives in Switzerland (this is the basic population). The Swiss Commercial Register was searched for cooperatives and specific keywords in order to determine this basic population and collect addresses. This search in May 2016 resulted in a total of 304 energy cooperatives, to which a questionnaire was sent in July 2016. A pre-test with 8 persons had been carried out before the questionnaire was sent out. The questionnaire was provided in German and French. It was sent by mail and an attached letter referred to a link for the digital version if preferred. The online version was designed with the software "Sawtooth". After three weeks, a first, and after six weeks a second reminder letter was sent to those cooperatives that had not yet completed the questionnaire. The returned hardcopy questionnaires were manually entered into the database and then combined with the electronic data from the online survey. In the course of the survey, the total population was reduced from 304 to 289: in 4 cases the survey was not deliverable, 4 cooperatives had dissolved, 6 were not actually energy cooperatives, 1 case had recently changed its legal form. With a response rate of 47%, the final data set comprises 136 responses (from 77 digital and 59 hardcopy questionnaires). However, not all 136 of the returned questionnaires were filled out completely. We checked for answers that seemed contradictory or incomprehensible. If an error could be clearly identified and the correct answer derived, the answer was adjusted, otherwise the answer was replaced by "missing data".
 Anonymization
Participating cooperatives have been assured that their information will be kept confidential and will only be made public anonymously. For this reason, the data have been anonymized in in order to prevent any identification of individual cooperatives.
 How to Use the Data
* The data are available in CSV and SPSS (sav.) format.
* A codebook and a modified version of the used questionnaire are provided to illustrate the data and variable structure. In the questionnaire, the variable names are assigned to the corresponding questions. In the codebook, further information on these variables (valid n, answer categories) can be found. This information (of the codebook) is already integrated in the SPSS file.
 Current Embargo on Data
These data are currently under embargo and will only be released when the project is completed (not before 2020).
Additional Information
* The used questionnaire is provided in German and French.
* Descriptive results of the survey were published in a WSL report: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:18943

en: switzerland cooperatives energy-cooperatives renewable-energy community-energy

en: Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse

de:
Resource Title: Questionnaire with variable names
    Size: 3397996 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/806cb4ee-b4b7-4b77-9bbd-c014ae28bc76/download/energy-cooperatives-switzerland_questionnaire-with-variable-names.pdf
    Description: Modified questionnaire with variable names for each item. Should be used together with the data files (.csv or .sav) to reconstruct the data and variable structures.

de:
Resource Title: Raw data (.csv)
    Size: 196544 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/7f6c3275-0b87-410f-882e-4496a5705a08/download/energy-cooperatives-switzerland_data.csv
    Description: Raw data in csv. format. For comprehension of the data and variable structure, please consult the codebook and the modified questionnaire with variable names.

media_type: text/csv

de:
Resource Title: Codebook
    Size: 2433879 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/30440e19-9f40-4bd5-a779-af1640db1891/download/energy-cooperatives-switzerland_codebook.pdf
    Description: Description of variable attributes and valid n

de:
Resource Title: Raw date (SPSS)
    Size: 323839 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/1319f978-1d65-498c-8bfd-589f1b89e6a7/download/energy-cooperatives-switzerland_data.sav
    Description: Raw data in sav. format (SPSS). For comprehension of the data and variable structure, please consult the modified questionnaire with variable names.

community-energy

display_name: community-energy

cooperatives

display_name: cooperatives

energy-cooperatives

display_name: energy-cooperatives

renewable-energy

display_name: renewable-energy

switzerland

display_name: switzerland


en: We conducted four drone flights in Davos Wolfgang Arelen, in 2020/21 and 2022 to obtain data for the generation of DSMs and orthomosaics at a high resolution. The data was processed with the Agisoft Metashape Professional Software.

en: drone-data photogrammetry dsm uav wingtra

envidat

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.

de: EnviDat: das Umwelt-Datenportal

en: Photogrammetric Drone Data Wolfgang Arelen

drone-data

display_name: drone-data

dsm

display_name: dsm

photogrammetry

display_name: photogrammetry

uav

display_name: uav

wingtra

display_name: wingtra


en: The data was collected on 16.04.2021 and on 28.05.2021 with a Wingtra Gen II and a Sony RX1 II RGB sensor to obtain snow depth and distribution data. Following the data collection, the data was processed with Agisoft Metashape. A 10cm DSM, a 10cm snow depth raster, a 3mm orthophoto and the original drone images are available for download.

en: orthophoto wingtra drone-data photogrammetry dsm uav

en: Photogrammetric Drone Data Schürlialp

orthophoto

display_name: orthophoto


en:
List of key debris flow variables from the WSL Illgraben monitoring station (2019-2022) 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: magnitude monitoring-station illgraben debris-flow force-plate

en: Illgraben debris-flow characteristics 2019-2022

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


en:
Richness, site occurrence and abundance data of bees, beetles, birds, hoverflies, net-wingeds, true bugs, snails, spiders, milipides, wasps collected in the city of Zurich using different sampling techniques, and the environmental variables for each sampling site.
Data are provided on request to contact person against bilateral agreement.

en: urban-ecology diversity snails sdms species-richness-models arthropods birds urbanization insects spiders species-abundance-distributions

en: Ecological properties of urban ecosystems. Biodiversity dataset of Zurich

envi

en: Environment

de:
Resource Title: Dataset_3_Species_richness_hyper.txt
    Size: 1373081 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0ef3b508-b8e7-4404-a7b9-edc51c7f2375/download/dataset_3_species_richness_hyper.txt
    Description: contains the raw data to perform the species richness models of the hypercommon species

de:
Resource Title: Dataset_2_SDM_data.txt
    Size: 65679611 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0e2e7fb0-88ba-4aa4-92ef-079191b4a668/download/dataset_2_sdm_data.txt
    Description: contains the raw data to perform species distribution models, only for common species

de:
Resource Title: Dataset_4_Species_richness_rare.txt
    Size: 2274863 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/3bbbc78a-92c3-4832-b51b-61d65346460e/download/dataset_4_species_richness_rare.txt
    Description: contains the raw data to perform the species richness models of the rare species

de:
Resource Title: Dataset_1_SAD_SOD.txt
    Size: 73478 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/a7a96a85-dc46-4b5f-bcf4-4d91485e3d03/download/dataset_1_sad_sod.txt
    Description: abundance and occurrence data of the 1446 species studied, used to investigate species-abundance distributions and species-occurrence distributions

de:
Resource Title: Dataset_5_Species_richness_all.txt
    Size: 2452421 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/f3abc8d4-c92e-4a57-aea4-39ba8c93158d/download/dataset_5_species_richness_all.txt
    Description: contains the raw data to perform the species richness models of all species

arthropods

display_name: arthropods

birds

display_name: birds

diversity

display_name: diversity

insects

display_name: insects

sdms

display_name: sdms

snails

display_name: snails

species-abundance-distributions

display_name: species-abundance-distributions

species-richness-models

display_name: species-richness-models

spiders

display_name: spiders

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization


en:
Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models.
Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps.
Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.

en: point-process-model background-data random-stratified-sampling independent-dataset target-group covariate-correction cluster plant-species survey-effort environmental-stratification

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: Novel methods to correct for observer and sampling bias in presence-only species distribution models

background-data

display_name: background-data

cluster

display_name: cluster

covariate-correction

display_name: covariate-correction

environmental-stratification

display_name: environmental-stratification

independent-dataset

display_name: independent-dataset

plant-species

display_name: plant-species

point-process-model

display_name: point-process-model

random-stratified-sampling

display_name: random-stratified-sampling

survey-effort

display_name: survey-effort

target-group

display_name: target-group


en:
This dataset comprises a large array of ecological data for the European Alps:
    (1) Current soil and climate predictors at various resolutions.
    (2) GBIF observations of the European Alps Flora (~4,000 species).
    (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
    at various resolutions used in the study to generate (4); except 'expert'...
    (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
    (from 100-m to 40-km --- 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
    SOIL and CLIM-SOIL models.
    (5) Ecological and altitudinal preferences of the European Alps Flora.
    (6) Data outputs of the related published article.
    (7) All scripts used for analyses.
    (8) Additional files used for analyses.
    (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
    filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
    non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---- not incorporated in the study.

en: grain-size functional-diversity climate taxonomic-diversity phylogenetic-diversity ecological-indicator-values soil

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity


en: This repository contains data on EDA measurements of visitors with different cultural backgrounds in virtual urban park settings. The parks are a Persian garden (Shiraz, Iran) and a historical park in Zurich, Switzerland. The cultural background of the visitors is Persian and Central European. The repository contains raw data from EDA, processed time series and statistical procedures.

en: electrodermal-activity sense-of-place landscape urban-ecology place-attachment

en: Electrodermal Activity (EDA) of Bi-cultural Visitors In Virtual Park Settings

de:
Resource Title: 04. Scripts
    Size: 6091 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/27eb8bfa-9dac-4705-b616-c2a077623c82/download/04_scripts.zip
    Description:

de:
Resource Title: 02. Questionnaire Data
    Size: 31084 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/64311577-59d4-49a6-85a2-dcd6a0f4a5f9/download/02_questionnaire_data.zip
    Description:

de:
Resource Title: 01. EDA Processed Data
    Size: 59757431 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/758e86b4-fa9a-469f-8c19-6bc0210799e6/download/01_eda_processed_data.zip
    Description:

de:
Resource Title: 00. EDA Raw Data
    Size: 61199195 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/543ea671-79be-49bd-9b5f-b39526ffc271/download/00_eda_raw_data.zip
    Description:

de:
Resource Title: 05. Visuals
    Size: 16568187 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/fb5ff1a3-68da-4a4e-ab0e-d4675fbf33ca/download/05_visuals.zip
    Description:

de:
Resource Title: 03. Publication Ready Data
    Size: 979015 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5f6276bf-6e08-4432-bf3b-9c77672976ba/resource/d10a79a8-363f-4b20-8240-3e3e3e16b863/download/03_publication_ready_data.zip
    Description:

electrodermal-activity

display_name: electrodermal-activity

landscape

display_name: landscape

place-attachment

display_name: place-attachment

sense-of-place

display_name: sense-of-place

urban-ecology

display_name: urban-ecology


en:
In the Swiss National Forest Inventory (NFI) the volume of the stem and of large (≥ 7cm in diameter) and small branches is estimated based on allometric functions. These functions were developed based on data collected within the permanent plot network of the Experimental Forest Management (EFM) sites at WSL (David I. Forrester; Hubert Schmid; Jens Nitzsche (2021). The Experimental Forest Management network. EnviDat. doi: 10.16904/envidat.213). The data  were converted to digital format in two separate steps in the mid-1970s for stemwood and the mid-1980s for branchwood.
The dataset on stemwood volume contains 38’864 single tree data for the mean crosswise diameter at two meter sections along the stem plus an additional measurements at 1.3 m (i.e. DBH) where the diameter is greater than or equal to 7 cm (i.e. threshold of merchantable wood) and the lengths of the stem from the base to the threshold of merchantable wood and to the tree top. The measurements were collected on 768 EFM sites in the period 1888 to 1974. The dataset on branchwood is based on a subset of the stemwood data and contains in the raw format information on 14'712 single trees. It includes aggregated data from the stemwood dataset, i.e. the DBH, the stem-diameter at 7 m from the base, and the tree height from the base to the top, as well as the measured volume of large and small branches.
In 2022, the metadata of both datasets were checked, values were examined for plausibility and duplicated entries. Duplicates were removed as far as possible and the branchwood volume data were appended to the stemwood dataset to obtain a final, single file with matching single tree data. Following this evaluation the final dataset consisted of a total of 38’841 trees including 14’038 trees with measured branchwood data.

en: nfi branchwood stemwood allometric model whole-tree-volume

de: EnviDat

envi

de: Umwelt

de:
Resource Title: linked data set with stem and branchwood data
    Size: 7824140 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/954a4ca7-27c9-4f73-ba78-36c1c28101f4/resource/2b59594b-9a70-4772-ab5e-8db95dc46858/download/linked_datasets_clean_2022-11-16.txt
    Description: Dataset comprising all measured variables in order to easily derive complete above-ground tree wood volume based on 38’841 trees including 14’038 trees with measured branchwood data.

de:
Resource Title: Datasets for deriving functions for the stem- and branchwood volume in the Swiss National Forest Inventory
    Size: 8578766 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/954a4ca7-27c9-4f73-ba78-36c1c28101f4/resource/42ba2447-560e-43be-87bd-e63d0a7a7675/download/documentation_nfi_volume_2022-11-23.pdf
    Description: Documentation of the data and review in 2022.

allometric

display_name: allometric

branchwood

display_name: branchwood

model

display_name: model

nfi

display_name: nfi

stemwood

display_name: stemwood

whole-tree-volume

display_name: whole-tree-volume


en:
We modelled the spatial distribution of 20 permanent grassland habitats at the level of phytosociological alliances according to the Swiss habitat typology (TypoCH; Delarze et al. 2015) at 10x10 m resolution across Switzerland. The 20 grassland habitat types belong to the following habitat groups: fens, wet meadows, raised bogs, re-seeded and heavy fertilized grasslands, dry grasslands, nutrient-poor alpine and subalpine grasslands, nutrient-rich pastures and meadows as well as fallow grasslands.
We followed a two-step approach:
(1) Ensemble models provide **distribution maps of the 20 individual grassland habitat types**, using training data from various sources. Predictors were Copernicus Sentinel satellite imagery and variables describing climate, soil and topography. The performance of these maps was assessed with the True Skill Statistics and split‐sampling of the data.
Available maps for each grassland habitat: (1) *Map of the median of predicted probability of occurrence*; (2) *Map of the standard deviation of the predicted probability of occurrence* (available upon request); (3) *Binary presence/absence map* (available upon request). For an overview, see *Overview: Maps of the individual grassland habitats*.
(2) **Combined maps**: The individual maps were combined into countrywide maps of the most and second most likely habitat type, respectively, using an expert‐based weighting approach. The performance of the combined map for the most likely habitat type was assessed via an independent testing dataset and a comparison of the predicted habitat‐type proportions with extrapolations from field surveys.
Available combined maps: Map of the most likely habitat type (M1F; after regional corrections); Map of the second most likely habitat type (M2); Map of the most likely habitat type without regional corrections (available upon request); Map of the weighted median of the predicted probability of occurrence for the most/second most likely habitat type, respectively (available upon request); map of the ratio of the probabilities of occurrence of the most and second most likely habitat types (available upon request)

en: typoch milieux-naturels schweiz fettwiesen flachmoore remote-sensing lebensraumkarte distribution-models magerrasen trockenrasen bogs dry-grasslands lebensraum fens sentinel

envidat

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.

en: Distribution maps of permanent grassland habitats for Switzerland

de:
Resource Title: Map for TypoCH 2.2.1 (Magnocaricion + Cladietum)
    Size: 504731638 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/c2c06c9e-c0c5-4477-90ea-5fca0fb5caab/download/l221_median.tif
    Description: Probability of occurrence for *Magnocaricion* and *Cladietum* (TypoCH 2.2.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

format: TIFF

media_type: image/tiff

de:
Resource Title: Map for TypoCH 4.6 (Fallow/Abandoned grassland)
    Size: 638711608 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ad717a5d-778b-4830-9dae-fcae0758fe61/download/l46_median.tif
    Description: Probability of occurrence for fallow/abandoned grasslands (TypoCH 4.6) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Overview: Maps of the individual grassland habitats
    Size: 2447652 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ac1c81ca-89d9-4678-8baf-a23691af9a49/download/maps_individual_habitats.pdf
    Description: Countrywide ensemble maps of the 20 grassland habitat types

(1) Median predicted probability of occurrence

(2) Standard deviation of predicted probability of occurrence

(3) Presence/Absence map

de:
Resource Title: Map for TypoCH 2.2.3 (Caricion davallianae)
    Size: 603396500 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/beb9dca9-cd4c-4654-93f3-dc2a3342e65a/download/l223_median.tif
    Description: Probability of occurrence for *Caricion davallianae* (TypoCH 2.2.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Overview: individual grassland habitats in the combined map
    Size: 277471 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/63d14be6-ee58-4033-a16f-63175794b6b3/download/summary_grassland.pdf
    Description: Overview of the occurrence of the individual habitat types in the combined map (M1F):

For each grassland habitat type, its predicted occurrence is shown per elevation, slope, aspect and biogeographic region.

de:
Resource Title: Map for TypoCH 4.5.3 (Cynosurion)
    Size: 603546258 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/1ba6d6fb-66c0-4e48-b10f-137433a32732/download/l453_median.tif
    Description: Probability of occurrence for *Cynosurion* (TypoCH 4.5.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map of the second most likely grassland habitat type
    Size: 3084994590 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/18319e46-e740-4e56-804b-9b4469a2d072/download/m2.tif
    Description: Map of the second most likely grassland habitat type at 10x10 m resolution; Coordinate System: CH1903+_LV95

Value:	 TypoCH    Name
1:    2.2.1    *Magnocaricion* + *Cladetium*
2:    2.2.2    *Caricion fuscae*
3:	 2.2.3	*Caricion davallianae*
4:	 2.3.1	*Molinion	*
5:	 2.3.2/3	*Calthion* + *Filipendulion*
6:	 2.4.1	*Sphagnion magellanici *
7:	 4.0.2	Re-seeded and heavy fertilized grassland/Kunstrasen
8:	 4.2.1/2/3	*Stipo-Poion*, *Xerobromion*, *Diplachnion*
9:	 4.2.4	*Mesobromion *
10:	 4.3.1	*Seslerion*
11:	 4.3.2/4	*Caricion firmae* + *Elynion*
12:	 4.3.3	*Caricion ferrugineae*
13:	 4.3.5	*Nardion*
14:	 4.3.6	*Festucion variae*
15:	 4.3.7	*Caricion curvulae*
16:	 4.5.1	*Arrhenatherion*
17:	 4.5.2	*Polygono-Trisetion*
18:	 4.5.3	*Cynosurion*
19:  4.5.4	*Poion alpinae*
20: 	  4.6	Fallow grassland/Grasbrachen

de:
Resource Title: List of modelled grassland habitat types
    Size: 439991 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/0ca16003-d007-43f3-a5da-bbae47e7855d/download/modelled_grasslandhabitattypes.pdf
    Description: List of the 20 grassland habitat types modelled

Attributes: TypoCH, Modelled, Latin, Français, Deutsch, Italiano, English

de:
Resource Title: Map for TypoCH 4.5.2 (Polygono-Trisetion)
    Size: 604765764 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/96ad41bb-dec5-4be4-a14a-0cbc2170d458/download/l452_median.tif
    Description: Probability of occurrence for *Polygono-Trisetion* (TypoCH 4.5.2) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.2/4 (Caricion firmae + Elynion)
    Size: 483551196 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ee7b72e2-5b40-4a55-9132-2ce8979f0abc/download/l432_434_median.tif
    Description: Probability of occurrence for *Caricion firmae* (TypoCH 4.3.2) and *Elynion* (TypoCH 4.3.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.5.4 (Poion alpinae)
    Size: 590805046 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/85401a15-993d-499e-927d-284f5a5824b0/download/l454_median.tif
    Description: Probability of occurrence for *Poion alpinae* (TypoCH 4.5.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.5 (Nardion)
    Size: 512834428 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/39cb15f2-2f1c-4ec4-8e21-26466ebe8d48/download/l435_median.tif
    Description: Probability of occurrence for *Nardion* (TypoCH 4.3.5) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map of the most likely grassland habitat type
    Size: 49162944 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/69d45303-8a2e-4931-8270-9e2867a1c1ca/download/m1f.tif
    Description: Final combined map of the most likely grassland habitat type (i.e., after regional corrections) at 10x10 m resolution

Coordinate System: CH1903+_LV95

Value:	       TypoCH          Name
1:                     2.2.1              *Magnocaricion* + *Cladetium*
2:                     2.2.2              *Caricion fuscae*
3:	 2.2.3	*Caricion davallianae*
4:	 2.3.1	*Molinion	*
5:	 2.3.2/3	*Calthion* + *Filipendulion*
6:	 2.4.1	*Sphagnion magellanici *
7:	 4.0.2	Re-seeded and heavy fertilized grassland/Kunstrasen
8:	 4.2.1/2/3	*Stipo-Poion*, *Xerobromion*, *Diplachnion*
9:	 4.2.4	*Mesobromion *
10:	 4.3.1	*Seslerion*
11:	 4.3.2/4	*Caricion firmae* + *Elynion*
12:	 4.3.3	*Caricion ferrugineae*
13:	 4.3.5	*Nardion*
14:	 4.3.6	*Festucion variae*
15:	 4.3.7	*Caricion curvulae*
16:	 4.5.1	*Arrhenatherion*
17:	 4.5.2	*Polygono-Trisetion*
18:	 4.5.3	*Cynosurion*
19:  4.5.4	*Poion alpinae*
20: 	  4.6	Fallow grassland/Grasbrachen

de:
Resource Title: Map for TypoCH 4.3.7 (Caricion curvulae)
    Size: 541733778 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/91752954-5a53-416c-989b-36f04df29d5e/download/l437_median.tif
    Description: Probability of occurrence for *Caricion curvulae* (TypoCH 4.3.7) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.4.1 (Sphagnion magellanici)
    Size: 500506898 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/d95f49f4-9f29-486f-aebd-ec8d7faac204/download/l241_median.tif
    Description: Probability of occurrence for *Sphagnion magellanici* (TypoCH 2.4.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.5.1 (Arrhenatherion)
    Size: 624559384 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/08575677-bce9-4f88-a47e-a7a5f13aaee1/download/l451_median.tif
    Description: Probability of occurrence for *Arrhenatherion* (TypoCH 4.5.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.1 (Seslerion)
    Size: 518699774 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/bd6b2b47-349d-4a69-83da-87437c40281d/download/l431_median.tif
    Description: Probability of occurrence for *Seslerion* (TypoCH 4.3.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.2.2 (Caricion fuscae)
    Size: 592984534 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/16d79e2b-5e6f-4031-ab47-8228a75b857a/download/l222_median.tif
    Description: Probability of occurrence for *Caricion fuscae* (TypoCH 2.2.2) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.3 (Caricion ferrugineae)
    Size: 493675110 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/8644ffa8-5409-4e17-bc21-4d0431b0926b/download/l433_median.tif
    Description: Probability of occurrence for *Caricion ferrugineae* (TypoCH 4.3.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.1 (Molinion)
    Size: 578477498 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/15543981-f701-4273-a63f-5a7db98096b7/download/l231_median.tif
    Description: Probability of occurrence for *Molinion* (TypoCH 2.3.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.6 (Festucion variae)
    Size: 442803704 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/62d767ef-cbf5-4159-997c-b3e1fb1bbca2/download/l436_median.tif
    Description: Probability of occurrence for *Festucion variae* (TypoCH 4.3.6) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.2/3 (Calthion + Filipendulion)
    Size: 524488494 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/0026fd29-8bee-46f8-9815-5c489fae506d/download/l232_233_median.tif
    Description: Probability of occurrence for *Calthion* (TypoCH 2.3.2)  and *Filipendulion* (TypoCH 2.3.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.2.1/2/3 (Stipo-Poion/Cirsio-Brachypodion/Xerobromion)
    Size: 363839680 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/2569b6bf-56f9-4532-a2c8-c3c67c81916a/download/l421_2_3_median.tif
    Description: Probability of occurrence for *Stipo Poion* (TypoCH 4.2.1.1), *Cirsio-Brachypodion* (TypoCH 4.2.1.2), *Xerobromion* (TypoCH 4.2.2) and *Diplachnion* (TypoCH 4.2.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.2.4 (Mesobromion)
    Size: 513903476 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/e06daaa9-70a1-4098-a92d-36bda23ef3c6/download/l424_median.tif
    Description: Probability of occurrence for *Mesobromion* (TypoCH 4.2.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

bogs

display_name: bogs


en:
Lebensraumkarte der Schweiz/La carte des milieux naturels de Suisse
The FOEN funded project ‘Developing a Habitat Map of Switzerland’ conducted at the WSL, has produced a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015) 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). The implementation of the Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only.
Habitats are mapped through a variety of approaches that can be grouped as either:
1: Derived from the existing Swiss-wide high quality landcover mapping from Swisstopo’s Topographical Landscape Model (TLM), 2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types, 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, the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 satellite imagery. Further detail on the methodology can be found within the README document.

en: remote-sensing grassland typoch wetlands shrub-forest modelling lebensraumkarte forest lebensraum habitat random-forest milieux-naturels ensemble-modelling

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: The Habitat Map of Switzerland v1

envi

de: Umwelt

en: Environment

de:
Resource Title: The Habitat Map of Switzerland BE v1 20220316, Canton Bern, file geodatabase (zipped)
    Size: 902453268 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/5faf9afb-4f3f-4610-816a-e2b1797d2f90/download/habitatmap_be_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Bern, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland VD v1 20220316, Canton Vaud, file geodatabase (zipped)
    Size: 429982792 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/a473ef53-fcbb-4fbe-b96c-d3af37a2f5ef/download/habitatmap_vd_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Vaud, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland OW v1 20220316, Canton Obwalden, file geodatabase (zipped)
    Size: 81300826 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/566520fe-fd88-4ebd-967d-92b18f05732a/download/habitatmap_ow_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to the borders of canton Obwalden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert)

de:
Resource Title: The Habitat Map of Switzerland FR v1 20220316, Canton Fribourg, file geodatabase (zipped)
    Size: 250335387 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/adc5828d-b325-488b-a68a-54d8c2ce90ca/download/habitatmap_fr_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Fribourg, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland TG v1 20220316, Canton Thurgau, file geodatabase (zipped)
    Size: 171610835 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/d5c43322-e69f-4d14-a8ea-fb1ef7c80276/download/habitatmap_tg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Thurgau, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GL v1 20220316, Canton Glarus, file geodatabase (zipped)
    Size: 125987723 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/e4ff3264-2099-4dd4-be7c-8b5423e6dc6d/download/habitatmap_gl_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Glarus, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland TI v1 20220316, Canton Ticino, file geodatabase (zipped)
    Size: 398802624 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/915d73d5-fa24-4529-b1b1-14e2257f05aa/download/habitatmap_ti_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Ticino, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland BL v1 20220316, Canton Basel-Landschaft, file geodatabase (zipped)
    Size: 125527511 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/5ca4c251-d937-48c6-b438-0b9d165b3a2a/download/habitatmap_bl_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Basel-Landschaft, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GR v1 20220316, Canton Grisons, file geodatabase (zipped)
    Size: 882958466 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/d99e679c-66d7-4f28-ae3b-c79028c7cb5a/download/habitatmap_gr_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Grisons, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland ZH v1 20220316, Canton Zurich, file geodatabase (zipped)
    Size: 331061308 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/a1028a9b-ec2d-4e1c-a66b-3eb67356d17c/download/habitatmap_zh_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Zurich, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AI v1 20220316, Canton  Appenzell Innerrhoden, file geodatabase (zipped)
    Size: 94657999 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/49a5a549-0d9b-4e78-949f-38cd600ad9a8/download/habitatmap_ai_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Appenzell Innerrhoden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland VS v1 20220316, Canton Valais, file geodatabase (zipped)
    Size: 632034849 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/ba13743b-c52a-4e32-9183-d41baada6db2/download/habitatmap_vs_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Valais, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland NE v1 20220316, Canton Neuchatel, file geodatabase (zipped)
    Size: 101062174 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8b5267ff-4164-49a6-9b89-3e7f18fab48d/download/habitatmap_ne_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Neuchatel, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SO v1 20220316, Canton Solothurn, file geodatabase (zipped)
    Size: 182529453 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/3e1d9c07-752b-46fc-b1a2-e92938a14a62/download/habitatmap_so_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Solothurn, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SH v1 20220316, Canton Schaffhausen, file geodatabase (zipped)
    Size: 30708254 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/034af52e-5ca7-48cc-a917-ac3002279c3e/download/habitatmap_sh_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Schaffhausen, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland UR v1 20220316, Canton Uri, file geodatabase (zipped)
    Size: 178349503 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/c39c7fd3-fc50-47cb-9f8a-32091d050fdd/download/habitatmap_ur_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Uri, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland CH v1 20220316, file geodatabase
    Size: 5282265573 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/818739ba-cf12-492f-8deb-4f983ad018cf/download/habitatmap_ch_v1_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert).
V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SG v1 20220316, Canton St Gallen, file geodatabase (zipped)
    Size: 413159936 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/4f91958c-6840-46ec-bfd9-3a8091647f42/download/habitatmap_sg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton St Gallen, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland NW v1 20220316, Canton Nidwalden, file geodatabase (zipped)
    Size: 60973034 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8ea5da1f-7349-41ea-b14e-cb7354c4b18e/download/habitatmap_nw_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Nidwalden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland JU v1 20220316, Canton Jura, file geodatabase (zipped)
    Size: 104065694 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/3520ac89-0d9c-46ce-a8bb-93c98387f8f7/download/habitatmap_ju_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Jura, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland BS v1 20220316, Canton Basel-Stadt, file geodatabase (zipped)
    Size: 20411153 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/f6c7421a-10b6-4be0-8195-361cc89e2487/download/habitatmap_bs_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Basel-Stadt, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AR v1 20220316, Canton Appenzell Ausserrhoden , file geodatabase (zipped)
    Size: 79313041 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8bd032f3-77d8-4bd9-b0ec-9d90f2280757/download/habitatmap_ar_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Appenzell Ausserrhoden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SZ v1 20220316, Canton Schwyz, file geodatabase (zipped)
    Size: 170891527 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/2f15e32b-badb-4fa9-885a-4c40d940eed5/download/habitatmap_sz_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Schwyz, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: Data Description
    Size: 878660 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/2f256f2b-ff06-45d4-b14c-553d2a452765/download/data_description_lebensraumkarte_v1_vdc.pdf
    Description: Metadata document describing the methodology used to develop the dataset

de:
Resource Title: The Habitat Map of Switzerland LU v1 20220316, Canton Lucerne, file geodatabase (zipped)
    Size: 273022968 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/60c3d9eb-9d0a-44f4-ba0c-495946fba6a9/download/habitatmap_lu_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Lucerne, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland ZG v1 20220316, Canton Zug, file geodatabase (zipped)
    Size: 56113599 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/40ad5f35-6643-4a9c-b834-c38af6e56d68/download/habitatmap_zg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Zug, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GE v1 20220316, Canton Geneva, file geodatabase (zipped)
    Size: 51781819 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/cc82c04f-be5c-467d-96f1-10bd00a6a475/download/habitatmap_ge_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Geneva, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AG v1 20220316, Canton Aargau, file geodatabase (zipped)
    Size: 292699155 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/9944beb4-9ee9-4092-a6a2-34d359103f42/download/habitatmap_ag_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Aargau, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size