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

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


$oid: OBSOLETE

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

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

de: EnviDat

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

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: ZIP

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.

format: PDF

media_type: application/pdf

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

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

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

format: TXT

media_type: text/plain

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

envi

en: Environment

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:

media_type: application/zip

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

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

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

en: Distribution maps of permanent grassland habitats for Switzerland

envi

de: Umwelt

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

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


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

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

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.

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: EnviDat: the Environmental Data Portal

de: EnviDat

de: Umwelt

de:
Resource Title: MeteorologicalData
    Size: 8317 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/54f99acd-e86a-4513-b1ea-d59d678f13ed/download/meteorologicaldata.zip
    Description: Scripts to process meteorological data (see Section 2 in COSMOWRFdocumentation.pdf).

de:
Resource Title: WPSrun
    Size: 6718 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/47a716bd-a1e5-4220-b9cc-53ef80089c7b/download/wpsrun.zip
    Description: Scripts to run the WRF pre-processing (WPS) for COSMO-WRF simulation (see Section 5 in COSMOWRFdocumentation.pdf)

de:
Resource Title: WRFrun
    Size: 8787 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/168aba72-d098-4d3b-a4d8-445ad91d5d10/download/wrfrun.zip
    Description: Scripts to run COSMO-WRF simulation (see Section 6 in COSMOWRFdocumentation.pdf)

de:
Resource Title: StaticData
    Size: 28859 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/86b121da-35f3-4096-88cd-1324ee511ac8/download/staticdata.zip
    Description: Scripts to process geographical/static data (see Section 3 in COSMOWRFdocumentation.pdf).
- ascii_to_bin_landuse.f90
- ascii_to_bin_soiltype.f90
- ascii_to_bin_topo_wgs84_ws2sf1.f90
- see_slopes.ncl
- soiltype_writing.py
- toposmooth_wgs84_cosmobound.ncl
- write_geogrid.o

de:
Resource Title: Postprocessing
    Size: 3782 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/316468d8-3fe9-4a1c-95e0-6595a4862396/download/postprocessing.zip
    Description: Postprocessing scripts to map WRF output on swiss coordinates (see Section 7 in COSMOWRFdocumentation.pdf)

de:
Resource Title: WPSSetup
    Size: 30162 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/a4f6bae9-dee7-4359-8c07-527ebbc6040f/download/wpssetup.zip
    Description: Scripts that need to be changed to compile WPS (see COSMOWRFdocumentation.pdf, Section 4)

de:
Resource Title: COSMO-WRF documentation v1.0
    Size: 275721 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/3a038630-044e-4769-9dd4-9032d7f337eb/download/cosmowrfdocumentation.pdf
    Description: Gerber, Franziska; Sharma, Varun (2018). Running COSMO-WRF on very-high resolution over complex terrain. EnviDat. doi:10.16904/envidat.35

Documentation about the procedure to run COSMO-WRF

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation


en:
Supplementary material for the publication " Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using material substance and energy flow analysis" Burg, V., b, Rolli, C., Schnorf, V., Scharfy, D., Anspach, V., Bowman, G.
Today's agro-food system is typically based on linear fluxes (e.g. mineral fertilizers importation), when a circular approach should be privileged. The production of biogas as a renewable energy source and digestate, used as an organic fertilizer, is essential for the circular economy in the agricultural sector. This study investigates the current utilization of wet biomass in agricultural anaerobic digestion plants in Switzerland in terms of mass, nutrients, and energy flows, to see how biomass use contributes to circular economy and climate change mitigation through the substitution effect of mineral fertilizers and fossil fuels. We quantify the system and its benefits in details and examine future developments of agricultural biogas plants using different scenarios. Our results demonstrate that agricultural anaerobic digestion could be largely increased, as it could provide ten times more biogas by 2050, while saving significant amounts of mineral fertilizer and GHG emissions.

en: biogas mfa efa circular-economy sfa

en: Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using substance and energy flow analysis

format: XLS

biogas

display_name: biogas

circular-economy

display_name: circular-economy

efa

display_name: efa

mfa

display_name: mfa

sfa

display_name: sfa


en:
There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.
The following data sources are taken into account:
* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)
* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division
* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)
* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)
* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)
* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph
* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)
* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)
* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication
* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)
* PANGAEA: World Data Center (e.g. König-Langlo, 2012)
Important notes
* Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
* Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
* No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.
Acknowledgements
--------------------------
We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.
References
---------------
Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East
Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020
Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.
König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener
Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.
775173

en: antarctica cryowrf python aws consistent

en: Preprocessing Antarctic Weather Station (AWS) data in python

envi

en: Environment

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python


en: This dataset contains surface datasets (in particular canopy structure fields) and meteorological input (water years 2016-2021) required to run the snow model FSM2 over the Fluela valley. Land surface datasets are available for a 1.5x2.5km model domain at 2m spatial resolution, meteorological input at hourly resolution is provided for a point and corresponds to the location of the automatic weather station / snow measurement field 5DF in Davos. Corresponding FSM2 simulations are used and analyzed in the publication 'Canopy structure, topography and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests' by Mazzotti et al. (submitted to HESSD). This publication should be cited whenever the dataset is used.

en: snow-modeling meteorological-data forest-snow forest-canopy snow-hydrology

en: Input datasets for forest snow modelling in Fluela valley, WY 2016-21

de:
Resource Title: Meterorological forcing
    Size: 4259392 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/fe3b38ca-11b9-4e06-b776-d36b06d291e2/resource/ac4d545e-d3dd-460d-9570-a73c49b879ad/download/forcing_5df.nc
    Description: Mmeteorological forcing data for FSM2 at hourly resolution, corresponding to the location of the 5DF automatic weather station / snow measurement field 5DF. Data is available from 1 Sept 2015 to 21 Aug 2021 (WY 2016-21)

de:
Resource Title: Surface data
    Size: 74960321 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/fe3b38ca-11b9-4e06-b776-d36b06d291e2/resource/966eaf35-9e69-4303-a869-9913fba984ba/download/fluela_surf_data.nc
    Description: Surface fields for model domain at 2m spatial resolution, including simulation domain, elevation, and canopy structure datasets

forest-canopy

display_name: forest-canopy

forest-snow

display_name: forest-snow

meteorological-data

display_name: meteorological-data

snow-hydrology

display_name: snow-hydrology

snow-modeling

display_name: snow-modeling


en:
Input data for the following research article: Impact assessment of homogenised snow depth series on trends
The data consists of separate output files from the following homogenisation methods:
* Climatol
* HOMER
* interpQM
The variable is seasonal mean snow depth (HSavg)
plot.data is an additional data frame containing trends of HSavg (station, method, value, pvalue, altitude)

en: snow-depth homogenisation long-term-trends extreme-values climatol interpqm

en: Input data for impact assessment of homogenised snow series

climatol

display_name: climatol

extreme-values

display_name: extreme-values

homogenisation

display_name: homogenisation

interpqm

display_name: interpqm

long-term-trends

display_name: long-term-trends

snow-depth

display_name: snow-depth


en: SnowMicroPen (SMP) measurements and manual snowpits from Dronning Maud Land, East Antarctica. Measurements were taken in the vicinity of the Belgium Princess Elisabeth Station (PEA), in a transect towards the coast, and on the Lokeryggen and Hammarryggen Ice Rises near the coast. Measurements were taken during 3 individual campaigns in the 2016-2017, 2018-2019 and 2019-2020 field seasons.

en: antarctica snow-density microstructure snowmicropen snow-density-profile

en: SnowMicroPen measurements and manual snowpits from Dronning Maud Land, East Antarctica

de:
Resource Title: Manual snow pits and other snow density measurements
    Size: 30761 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/b234793d-1a5f-47f8-a7e2-c9e6099dbb7a/download/snowpits.txt
    Description: Manual snow pits and other snow density measurements

de:
Resource Title: SnowMicroPen pts files and processed txt files
    Size: 579091098 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/3072110f-5284-4b7c-84c7-81ed98d3e6ee/download/smp_files.zip
    Description: Zip archive containing the acquired *.pts files (binary files recorded by the SnowMicroPen), and the converted *.txt files using the SMP.ipynb jupyter notebook (see the python code in the other resources in this dataset)

de:
Resource Title: Jupyter notebook for processing the SnowMicroPen files
    Size: 7240 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/b18e5359-0134-47d6-aaf9-9f5a04a71543/download/smp.ipynb
    Description: Jupyter notebook for processing the SnowMicroPen files.

de:
Resource Title: List of SnowMicroPen measurements
    Size: 182060 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/f993bafd-41b1-4978-884b-ee7e721a7f95/download/smp_list.txt
    Description: List of all SnowMicroPen measurements, including date and location, and processing status. This list has been generated by the python code (see other resources in this dataset).

de:
Resource Title: Documentation SnowMicroPen measurements
    Size: 94028379 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/4c1ab2e9-cfad-463b-bf94-b9d55794371a/download/documentation.zip
    Description: This *.zip archive contains all available documentation of the SnowMicroPen measurements, including the mapping of the SMP measurements in the terrestrial laser scan field at PEA (see documentation for 20161220) and at the Hammarryggen Ice Rise (see documentation for 20190104 and 20190111).

de:
Resource Title: Python code exported from the Jupyter notebook for processing the SnowMicroPen files
    Size: 5439 bytes
    Format: text/x-python
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/80f9bd9a-ba5f-461d-87ad-b0d65b0bb7ed/download/smp.py
    Description: Python code exported from the Jupyter notebook for processing the SnowMicroPen files

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snow-density-profile

display_name: snow-density-profile

snowmicropen

display_name: snowmicropen


wamos-meets-lfi-ganze-schweiz

en: The data consists of a forest visitor survey conducted at 50 plots in the whole of Switzerland, once during the winter- and once during the summer season. Physical forest characteristics according to the Swiss National Forest Inventory NFI were collected from the same plots in winter and summer. Visibility was measured using terrestrial laser scanning. At some plots, sound measurements were also conducted.

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.

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: EnviDat: the Environmental Data Portal

de: EnviDat

en: WaMos meets LFI, ganze Schweiz

title_for_slug: wamos-meets-lfi-ganze-schweiz

de:
Resource Title: Questionnaire German
    Size: 85240 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/89ad5ee5-4cf7-4238-b36c-199c6f752887/download/fragebogenwmlganzeschweiz_nach-pretest.pdf
    Description:

de:
Resource Title: Questionnaire French
    Size: 85617 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/6653f7b9-28e2-437d-bdc5-9ba08c0a36c1/download/fragebogenwmlganzeschweizfra.pdf
    Description:

de:
Resource Title: Questionnaire English
    Size: 97530 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/5ec34a28-4837-4775-803d-6ec97f23b8c5/download/questionnairewml2_english.pdf
    Description:

de:
Resource Title: Questionnaire Italian
    Size: 106520 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/9344ade5-9e3a-48e6-ade9-bc4237845bd9/download/fragebogenwmlganzeschweiz_ita.pdf
    Description:

de:
Resource Title: Dataset in Excel-format
    Size: 881452 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/37ee8096-cf7b-4d5b-8dde-cb80d2ef45b2/download/dataquestionnaireplusnfi.xlsx
    Description:

de:
Resource Title: Codebook to dataset
    Size: 221528 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/5310da77-2c43-4772-886b-5a63eb13eb89/download/codebookdataquestionnaireplusnfi.pdf
    Description:

de:
Resource Title: Dataset SPSS
    Size: 469839 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/0203311f-69a9-44f5-b1c9-600429961002/download/dataquestionnaireplusnfi.sav
    Description:

de:
Resource Title: Explanation Dataset
    Size: 28901 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/753eaa31-c92e-4d1a-83f2-0fac6c6c711c/download/explanation-wmldataset.pdf
    Description:

forest-characteristics

display_name: forest-characteristics

seasons

display_name: seasons

visitor-preferences

display_name: visitor-preferences

visual-attractiveness-of-forest

display_name: visual-attractiveness-of-forest


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

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

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

envi

de: Umwelt

de:
Resource Title: Dataset in csv-format
    Size: 5628069 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/ced93b4f-1424-4a54-ad92-753d96133fab/download/umfrage_mitlfi2_2.csv
    Description:

de:
Resource Title: Questionnaire German
    Size: 15478868 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/31a62f4f-08ae-4baa-98af-f742ea96bc1d/download/umfrageerwachsenedeutsch.pdf
    Description:

de:
Resource Title: SPSS-Dataset
    Size: 9307772 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/795a1d55-ec18-4153-9c93-e93109a67bd5/download/umfrage_mitlfi2_2.sav
    Description:

de:
Resource Title: Questionnaire French
    Size: 16449968 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/ee508ecd-8d0f-4be5-b985-69acfdc3fb24/download/umfrageerwachsenefranzosisch.pdf
    Description:

de:
Resource Title: Questionnaire Italian
    Size: 10955256 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/f4fe792f-05dc-4896-8b1e-541611d9f21c/download/umfrageerwachseneitalienisch.pdf
    Description:

de:
Resource Title: Codebook to SPSS-file
    Size: 325674 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/8a7f9645-ca1b-4fb3-8d9c-94240c0e235e/download/codebookwmlbilderstudie.pdf
    Description:

adults-and-teenagers

display_name: adults-and-teenagers

nfi-photos

display_name: nfi-photos

online-questionnaire-survey

display_name: online-questionnaire-survey

perception-of-ecosystem-services

display_name: perception-of-ecosystem-services

visual-attractiveness

display_name: visual-attractiveness


en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.
The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.
In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

en: sediment cohesion sand saltation wind snow

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: Saltation of cohesive granular materials

envi

en: Environment

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

snow

display_name: snow

wind

display_name: wind


en:
A laser optical disdrometer (Parsivel&178; , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

en: precipitation hydrometeors raclets disdrometer visibility

de: EnviDat

en: Disdrometer Data Laret

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


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

en: raclets disdrometer visibility precipitation hydrometeors

en: Disdrometer Data Gotschnagrat


en:
The data file refers to the data used in Portier et al. "Plot size matters: towards comparable species richness estimates across plot-based inventories" (2022) *Ecology and Evolution*.

This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided.

The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/).

en: biodiversity europe species-richness monitoring national-forest-inventory plot-size

en: Towards comparable species richness estimates across plot-based inventories - data

biodiversity

display_name: biodiversity

europe

display_name: europe

monitoring

display_name: monitoring

national-forest-inventory

display_name: national-forest-inventory

plot-size

display_name: plot-size

species-richness

display_name: species-richness