vegetation-height-model-sentinel-nfi

en: Countrywide vegetation height models (VHM) were generated for Switzerland based on Copernicus Sentinel-2 imagery and the digital terrain model (DTM) swissALTI3D from the Swiss Federal Office of Topography swisstopo. A Convolutional Neural Network (CNN) model was trained to estimate the maximum vegetation height at the spatial resolution of the Sentinel-2 pixel of 10 m. Vegetation heights from the spatially higher-resolved VHM Lidar NFI were used as reference data for the CNN training. Within the framework of the Swiss National Forest Inventory (NFI), the VHMs were modelled annually based on available Sentinel-2 imagery from May – September of the respective year. Further details on the creation of the VHM Sentinel NFI can be found in the paper Jiang et al. (2023, https://doi.org/10.1016/j.srs.2023.100099). Contains modified Copernicus Sentinel data.

en: nfi switzerland vegetation-height forest cnn sentinel-2 remote-sensing

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: Vegetation Height Model Sentinel NFI

title_for_slug: vegetation-height-model-sentinel-nfi

en:
Resource Title: VHM_Sentinel_NFI_2025
    Size: 789365244 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/cd9f3543-87a3-4eb5-ab05-a4388a7967c4/download/landesforstinventar-vegetationshoehenmodell_sentinel_2025_2056.tif
    Description:

format: TIFF

media_type: image/tiff

en:
Resource Title: VHM_Sentinel_NFI_2017
    Size: 791212333 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/771519e8-6435-463c-a2cb-57031ee25861/download/landesforstinventar-vegetationshoehenmodell_sentinel_2017_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2020
    Size: 793832708 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/f0496550-ac9a-4dfd-bfea-68e601e9f3f7/download/landesforstinventar-vegetationshoehenmodell_sentinel_2020_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2022
    Size: 794990349 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/12ed6aff-aeed-45f4-aed3-81e17797a8da/download/landesforstinventar-vegetationshoehenmodell_sentinel_2022_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2023
    Size: 794605160 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/c57585ec-51da-4aeb-bf90-c5598e14d3c6/download/landesforstinventar-vegetationshoehenmodell_sentinel_2023_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2024
    Size: 799033995 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/284e4292-df10-4227-85b5-1fc7024def5b/download/landesforstinventar-vegetationshoehenmodell_sentinel_2024_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2021
    Size: 793778198 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/8fc7f306-c788-4b1c-9a17-8dfe946c9681/download/landesforstinventar-vegetationshoehenmodell_sentinel_2021_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2018
    Size: 791849627 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/6f9a20f7-78bf-4cc5-b734-c52d63bbfd0a/download/landesforstinventar-vegetationshoehenmodell_sentinel_2018_2056.tif
    Description:

en:
Resource Title: VHM_Sentinel_NFI_2019
    Size: 796005325 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/3b1cae17-fc7a-4722-95da-92d3be869273/resource/1320cdac-5544-47d8-acaf-983fd88744a4/download/landesforstinventar-vegetationshoehenmodell_sentinel_2019_2056.tif
    Description:

cnn

display_name: cnn

forest

display_name: forest

nfi

display_name: nfi

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

vegetation-height

display_name: vegetation-height


automatic-detection-of-avalanches

$oid: OBSOLETE

en: This dataset contains the results obtained by an automatic classification using hidden Markov models of a continuous seismic dataset. To avoid long computational times, we reduced the seismic data using pre-processing step. The start and end times of the windows used for the classification are also included in this dataset. Furthermore, an avalanche reference data set is included and the python scripts used to perform the processing steps and the classification.

en: seismic avalanche-activity hidden-markov-model monitoring snow

envidat

approval_status: approved

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

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

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

de: EnviDat: das Umwelt-Datenportal

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: Automatic detection of avalanches

title_for_slug: automatic-detection-of-avalanches

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: ZIP

avalanche-activity

display_name: avalanche-activity

hidden-markov-model

display_name: hidden-markov-model

monitoring

display_name: monitoring

seismic

display_name: seismic

snow

display_name: snow


en:
This dataset provides distribution data of lichens in Switzerland of the National Data and Information Centre, called Swiss Lichens. SwissLichens is a partner of InfoSpecies, the network of Swiss data and information centres for fauna, flora and fungi. One of its main objectives is to document the spatial and temporal distribution of species in Switzerland.
The SwissLichens database currently contains more than 120’000 georeferenced lichen observations, distributed throughout Swizerland. The oldest observations date back to 1790. A large portion of the records dtae from the last two decades of the last century to the present day. The database is continuously updated with new findings. The data have been validated and originate from national inventories, from research projects, from floristic observations by volunteers as well as from private and public herbaria and from the literature.
Each record consists of the species name, information of the location (Swiss Coordinates, precision of the coordinates, elevation above sea level, municipality and canton), the date of observation, the ecotype (epiphytic, terricol, lignicol, saxicol), as well as information on the conservation status of the species (red list status, conservation priority status, status in the Nature and Cultural Heritage Act). Information on the ecology (habitat, substrate) is partially available.
They are free of charge for research projects and can be requested from InfoSpecies using a form.
Licence under www.infospecies.ch. Data is free of charge for research projects and available on request.

en: swisslichens lichen-conservation biodiversity switzerland lichen-distribution national-data-centre lichens

en: SwissLichens - Distribution of lichens in Switzerland

format: XLS

biodiversity

display_name: biodiversity

lichen-conservation

display_name: lichen-conservation

lichen-distribution

display_name: lichen-distribution

lichens

display_name: lichens

national-data-centre

display_name: national-data-centre

swisslichens

display_name: swisslichens


latent-heat-flux-over-snow

en:
This dataset contains three case studies where are compared the latent heat flux calculated using the Eddy Covariance (EC) method, the Monin-Obukhov Similarity Theory (MOST) and the modified Bowen-ratio method presented in the research paper "Using the sensible heat flux eddy covariance based exchange coefficient to calculate latent heat from moisture mean gradients overn snow". We include the datasets, the code and the ini files for reproduce the research.
The dataset contain two files in zip format:
  1. Sowftware-Heat_fluxes_on_snow: Jupyter notebooks to reproduce the method and the figures of the paper.
  2. data.zip: Datasets used to compare the methods

en: meteo-station snow meta swiss-alps meteo central-asia

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: Latent Heat Flux over Snow

title_for_slug: latent-heat-flux-over-snow

en:
Resource Title: Sowftware-Heat_fluxes_on_snow
    Size: 3322132 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/da84224e-d225-43fd-8986-7d8069362adc/download/software.zip
    Description: This file includes the Jupyter notebooks to reproduce the method and the figures of the paper. This consists in:
- 3 files for Alpine Valley
- 3 files for Antarctic Plateau
- 1 file for application at Pamir mountains

media_type: application/zip

en:
Resource Title:
    Size: 29787181 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/7ab59fe6-dc0b-4dfc-b5c1-e8c3287cb54e/download/data.zip
    Description: This file includes the datasets used to compare the methods. It includes:
- EC Postprocessed heat flux data from sonic anemometer and gas analyzer. Files named: [SITE]_(NO)WatVap_eddypro_OUT_[type].csv
- MOST Postprocessed data from SNOWPACK model. Files named [SITE]_[year]_[METHOD].smet
- Configuration files for SNOWPACK (.ini files) and Eddypro (.eddypro files)

[SITE] correspond to DISHMA/DISH or Alpine Valley, PLATEAU/PLAT for Antarctic Plateau, TAJ for Pamir mountains (no EC)
[type] correspond to fluxnet, full_output or qc_details
[METHOD] indicates the stability model used and/or the roughness length

central-asia

display_name: central-asia

meta

display_name: meta

meteo

display_name: meteo

meteo-station

display_name: meteo-station

swiss-alps

display_name: swiss-alps


en:
Two stem core samples of 12 to 20 trees outside the plot of each main species in the plot were taken at breast height (1.3 m above ground) with a SUUNTO corer. Tree ring width and density were determined with the instruments CATRAS and TSAP, the Densitometer DENDRO 2003 and a stereo-microscope. The selected trees included at least 12 pre-dominant or dominant trees and if possible also 4 subdominant or surpressed trees. NOTE: The samplings were carried out between 1996 and 1999 for most plots and in 2003 for the plot Lantsch. The cores cover a time span depending on the age of the oldest trees on a plot. On one plot the oldest sampled tree ring grew in the year 1646.
 Purpose:
Reconstruction of stand history and tree growth
 Manual Citation:
 * Paolo Cherubini, Matthias Dobbertin, 1997: Bestandesgeschichte (Dendrochronologie). In: Peter Brang (ed.), Aufnahmeanleitung LWF. Langfristige Waldökosystem-Forschung LWF, Eidg. Forschungsanstalt WSL, Birmensdorf, 3 S.
 *  Cherubini, P.; Dobbertin, M., 1998: The Swiss long-term forest ecosystem research: methods for reconstructing forest history. In: Borghetti, M. (ed): Società Italiana di Selvicoltura ed Ecologia Forestale (SISEF), Atti I: 19-22.
 Paper Citation:
 * Cherubini, P., Fontana, G., Rigling, D., Dobbertin, M., Brang, P., Innes, J.L., 2002. Tree-life history prior to death: two fungal root pathogens affect tree-ring growth differently. J. Ecol. 90, 839-850.

en: swiss-forest-lab icp-forests tree-ring-width dendrochronology stand-history dominant-trees long-term-forest-ecosystem-research

en: Dendrochronological analyses of tree core samples (dominant trees) LWF

format: HTML

dendrochronology

display_name: dendrochronology

dominant-trees

display_name: dominant-trees

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

stand-history

display_name: stand-history

swiss-forest-lab

display_name: swiss-forest-lab

tree-ring-width

display_name: tree-ring-width


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

en: seasons urban well-being biodiversity green-spaces

en: Playground biodiversity and preschool children well-being

en:
Resource Title: Spielplatz Fragebogen_Polnisch.pdf
    Size: 361073 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/024bbf41-00b5-4c84-ba75-28e136050d41/download/spielplatz-fragebogen_polnisch.pdf
    Description: This document includes the Polish version of the questionnaire administered to carers of pre-school children.

format: PDF

media_type: application/pdf

en:
Resource Title: Plant and playground data.xlsx
    Size: 97321 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/eb12671e-2a17-4acf-b181-a68e40fd1fe5/download/plant-and-playground-data.xlsx
    Description: This file contains the playground and plant diversity data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".
The file is separated in five tabs containing:
(1) the overview of the playgrounds,
(2) the overview of all plant species, with their life-history traits and the diversity indexes per layer,
(3) the tree (canoy) layer abundance of each plant species, measured exhaustively in each playground,
(4) the shrub layer abundance of each plant species, measured exhaustively in each playground, and
(5) the ground layer abundance of each plant species, estimated with the Braun-Blanquet scale in 10 quadrats per playground.

en:
Resource Title: Spielplatz Fragebogen_Arabisch.pdf
    Size: 397855 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/56c767f8-0b3d-45c3-9209-2bce6dac682f/download/spielplatz-fragebogen_arabisch.pdf
    Description: This document includes the Arabic version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Italienisch.pdf
    Size: 322529 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/6971a33d-2b7d-40d4-8d99-d583aed944d2/download/spielplatz-fragebogen_italienisch.pdf
    Description: This document includes the Italian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Well-being.xlsx
    Size: 184576 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/8b624832-b01e-4728-95cc-22644320da26/download/well-being.xlsx
    Description: This file contains the anonymised well-being and nature-connectedness data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".

en:
Resource Title: Spielplatz Fragebogen_Deutsch.pdf
    Size: 364554 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/deca6461-d9a1-4cf4-8739-480e13432408/download/spielplatz-fragebogen_deutsch.pdf
    Description: This document includes the German version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Spanisch.pdf
    Size: 345221 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/c57948ab-c230-45c0-a9b2-b60eb3460cfd/download/spielplatz-fragebogen_spanisch.pdf
    Description: This document includes the Spanish of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Englisch.pdf
    Size: 340244 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/b87bc6b7-9aaa-4c86-adfc-52dcf47bcfb4/download/spielplatz-fragebogen_englisch.pdf
    Description: This document includes the English version of the questionnaire administered to carers of pre-school children. This was the original questionnaire, later translated in the 10 most spoken languages in Baden-Württemberg (DE).

en:
Resource Title: Spielplatz Fragebogen_Französisch.pdf
    Size: 353495 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/872f9d84-d7a4-498d-9f3e-5851bd9bddfd/download/spielplatz-fragebogen_franzosisch.pdf
    Description: This document includes the French version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Rumänisch.pdf
    Size: 349716 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/0ac43c39-4a0d-40c2-a544-e2a4e6109213/download/spielplatz-fragebogen_rumanisch.pdf
    Description: This document includes the Romanian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Türkisch.pdf
    Size: 346481 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/f49040c1-0140-4b98-8b3a-b8b6be4fd565/download/spielplatz-fragebogen_turkisch.pdf
    Description: This document includes the Turkish version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Russisch.pdf
    Size: 357530 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/53481be4-b668-48c6-98df-c58961caf97b/download/spielplatz-fragebogen_russisch.pdf
    Description: This document includes the Russian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Ukrainian.pdf
    Size: 1015736 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/1ae17430-7011-40f1-87d5-48f642e997ea/download/spielplatz-fragebogen_ukrainian.pdf
    Description: This document includes the Ukrainian version of the questionnaire administered to carers of pre-school children.

biodiversity

display_name: biodiversity

green-spaces

display_name: green-spaces

seasons

display_name: seasons

urban

display_name: urban

well-being

display_name: well-being


en:
Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain.
It is based on deep learning and was trained (calibrated) using the hourly wind speed and direction from 261 automatic measurement stations (IMIS and SwissMetNet) located in Switzerland. The periods 1st October 2015 to 1st October 2016 and 1st October 2017 to 1st October 2018 were used for training. The model was validated using 60 other stations on the period 1st October 2016 to 1st October 2017. Wind-Topo was trained using COSMO-1 data and a 53-meter Digital Elevation Model as input.
This dataset provides all the necessary code to understand, use and incorporate Wind-Topo in a new downscaling scheme. Specifically, the dataset contains the architecture of Wind-Topo and its optimized parameters, as well as a python script to downscale uniform wind fields with a prescribed vertical profile for any given 53-meter DEM.
Accompanies the publication "Wind-Topo: Downscaling near-surface wind fields to high-resolution topography in highly complex terrain with deep learning" Dujardin and Lehning, Quarterly Journal of the Royal Meteorological Society, 2022. https://doi.org/10.1002/qj.4265
Please cite this publication if you use Wind-Topo or derive new models from it.
The code can be used under the GNU Affero General Public License (AGPL).

en: convolutional-neural-networks downscaling surface-winds high-resolution meteorology topography complex-terrain machine-learning

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

envi

en: Environment

complex-terrain

display_name: complex-terrain

convolutional-neural-networks

display_name: convolutional-neural-networks

downscaling

display_name: downscaling

high-resolution

display_name: high-resolution

machine-learning

display_name: machine-learning

meteorology

display_name: meteorology

surface-winds

display_name: surface-winds

topography

display_name: topography


historical-vegetation-height-model-nfi

en:
The main datasets available are 4 nationwide **Digital Surface Models (DSMs)** and corresponding **Vegetation Height Models (VHMs)** with a spatial resolution of 1 m.
The Vegetation Height Models are calculated by subtraction of a Digital Terrain Model (swissAlti3d version 2017, swisstopo) from the generated DSMs. DSMs were derived by image matching of **scanned historical images** (panchromatic 8-bit) acquired with a RC10 frame camera, in the context of the swisswide image acquisition campaigns of swisstopo.
Nationwide products could be generated for the **four epochs**
 1979-1985 / 1985-1991 / 1990-1998 / 1998-2006.
Additional information about successful image matching vs. interpolation of pixels and about the year of image acquisition are available in the corresponding files (**matched_area_xxxx_xxxx_binay.tif** and **meta_acquisition_year_xxxx_xxxx.json**, respectively).
To separate vegetation from non-vegetation areas a mask derived from a combination of information of the Topographic landscape model - TLM (swisstopo) and a NDVI layer was used and is supplied as **"TLM_mask.tif"**
Due to the occurrence of unrealistic vegetation height values caused by the failure of the image matching process (mainly overexposed images and clouds or very steep rocky terrain), pixel values - 60 m were set to NoData and - 0 m to 0.
All datasets are available in the Reference System **LV95 (EPSG: 2056) LN02 (EPSG: 5728)** and share the common **extent definition** (xmin ymin xmax ymax): 2480000 1070000 2840000 1300000

en: vhm photogrammetry historical forest nfi dsm

en: Historical Vegetation Height Model NFI

title_for_slug: historical-vegetation-height-model-nfi

en:
Resource Title: 1998-2006 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1998-2006_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: readme.txt
    Size: 2045 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d16d27e5-b239-4909-b914-1b0b5337dab3/resource/f6cabeaa-bf7c-4141-bea9-af99d3224487/download/readme.txt
    Description: Description of available data

format: TXT

media_type: text/plain

en:
Resource Title: 1990-1998 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1990-1998_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1985-1991 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1985-1991_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1979-1985 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1979-1985_vegetation_height_model_nfi%2F
    Description:

dsm

display_name: dsm

forest

display_name: forest

historical

display_name: historical

nfi

display_name: nfi

photogrammetry

display_name: photogrammetry

vhm

display_name: vhm


en:
Dataset of meteorological and snowpack measurements from the automatic weather station at Weissfluhjoch, Davos, Switzerland, suitable for driving snowpack models. The dataset contains standard meteorological measurements, and additionally snowpack runoff data from a snow lysimeter. Where possible, data is quality checked and missing data are replaced from backup sensors from the measurement site itself, or (in only a few cases) from the MeteoSwiss weather station at 470 m distance and 150 m above the measurement site.
Publication
Wever, N., Schmid, L., Heilig, A., Eisen, O., Fierz, C., and Lehning, M. Verification of the multi-layer SNOWPACK model with different water transport schemes. 2015. The Cryosphere. Volume 9. 2271-2293. http://dx.doi.org/10.5194/tc-9-2271-2015.

en: precipitation-amount snow-depth wind-speed humidity longwave-radiation shortwave-radiation air-temperature wind-direction snow-ice-temperature

en: WFJ_MOD: Meteorological and snowpack measurements from Weissfluhjoch, Davos, Switzerland

en:
Resource Title: SNOWPACK ini file (old syntax)
    Size: 2223 bytes
    Format: text/x-ini
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/e51b83ae-99a6-42f0-add4-8da9590c6573/download/iowfjref.ini
    Description: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en:
Resource Title: All versions
    Size: 0
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=slf/snow_and_permafrost/wfj_mod/
    Description:

en:
Resource Title: SNOWPACK sno file
    Size: 1095 bytes
    Format: .sno
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/ec0609f1-42fa-4a20-945e-6809bb15a8a0/download/wfj2.sno
    Description: This sno-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en:
Resource Title: Version 6
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v6.smet
    Description: Deprecated version.

Release notes:

- Missing ISWR for 2009-09-30 and 2010-04-30 has been replaced by data from WFJ Gipfel

This dataset is the basis for the Weissfluhjoch dataset in ESM-SnowMIP (doi: http://dx.doi.org/10.16904/16).

en:
Resource Title: Version 2
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v2.smet
    Description: Deprecated version. Release notes:

Bug fix: in v1, incoming radiation components were taken from WFJ_Gipfel station, instead of WFJ Versuchsfeld.

en:
Resource Title: Version 1
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset.smet
    Description: Deprecated version. Release notes:

First release of dataset.

en:
Resource Title: Version 4
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v4.smet
    Description: Deprecated version. Release notes:

Update: dataset extended to 2016-09-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Resource Title: Version 7 (current)
    Size: 35666937 bytes
    Format: application/x-smet
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/3074d1dc-6083-4025-9ac4-484cfa88658b/download/wfj_optimaldataset_v7.smet
    Description: Release notes:

Bug fix: in previous versions, snow lysimeter data from September 2010 onwards was erroneously reported for UTC+2, instead of UTC+1 (i.e., reported one hour later than should have been).

Update: dataset extended to 2017-07-11T00:30.

en:
Resource Title: Version 5
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v5.smet
    Description: Deprecated version. Release notes:

Update: using the incoming and outgoing short- and longwave radiation data from the new processing chain from 2010 onwards, filling also data gaps in pre-2010 data.

Update: dataset extended to 2016-10-04T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Resource Title: SNOWPACK ini file (new syntax)
    Size: 2490 bytes
    Format: text/x-ini
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/8d201858-fba9-449c-b41b-4e49624fa6cc/download/iowfjref.ini
    Description: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using the new MeteoIO Filter, Generator and Interpolation syntax.

en:
Resource Title: Version 3
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v3.smet
    Description: Deprecated version. Release notes:

Bug fix: in version 2, the undercatch correction was not applied correctly

Bug fix: in version 2, snow lysimeter data was missing for extended periods of time

Update: dataset extended to 2016-01-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Resource Title: Undercatch correction
    Size: 59121 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/022a5232-e9a6-4972-a59a-f1aedc2697d3/download/undercatch.pdf
    Description: This document describes how the undercatch correction for the Weissfluhjoch measurement site was determined.

air-temperature

display_name: air-temperature

humidity

display_name: humidity

longwave-radiation

display_name: longwave-radiation

precipitation-amount

display_name: precipitation-amount

shortwave-radiation

display_name: shortwave-radiation

snow-depth

display_name: snow-depth

snow-ice-temperature

display_name: snow-ice-temperature

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed


en: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.

en: stable-water-isotope catchment hydrology alptal stream-water precipitation

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: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments

envi

en: Environment

en:
Resource Title: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2
    Size: 158372 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/d26ca42e-4cdb-4ef8-bf35-a87d5239757d/download/data-set-documentation_sdata-21-00930.pdf
    Description: Documentations contains meta data of the data columns and information about the study catchments.

en:
Resource Title: Alptal_Isotopes_daily_2015-2019
    Size: 717293 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/8a06beab-3092-45d3-ad41-a59d79e6cb71/download/alptal_isotopes_daily_2015-2019.txt
    Description: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley

en:
Resource Title: Alptal_Isotopes_daily_2015-2019_v2.txt
    Size: 760332 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/7865517d-357b-4e08-8b6a-b405eca4e547/download/alptal_isotopes_daily_2015-2019_v2.txt
    Description: Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality

alptal

display_name: alptal

catchment

display_name: catchment

hydrology

display_name: hydrology

precipitation

display_name: precipitation

stable-water-isotope

display_name: stable-water-isotope

stream-water

display_name: stream-water


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

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

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

en:
Resource Title: short-term_drainage_density_dynamics_dataset.csv
    Size: 22884800 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/b0b19958-af5e-49bf-8ab1-b10191d7d950/download/short-term_drainage_density_dynamics_dataset.csv
    Description:

en:
Resource Title:  short-term_drainage_density_dynamics_dataset_documentation.pdf
    Size: 3718100 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/37aaedcc-8217-4229-9bf3-49fe7e06d925/download/short-term_drainage_density_dynamics_dataset_documentation.pdf
    Description:

en:
Resource Title: short-term_drainage_density_dynamics_dataset_documentation.docx
    Size: 1135026 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/a90d31fa-4d8e-4bf1-a650-3c0f8ce12ae4/download/short-term_drainage_density_dynamics_dataset_documentation.docx
    Description:

catchment-data

display_name: catchment-data

channel

display_name: channel

data

display_name: data

dataset

display_name: dataset

drainage

display_name: drainage

drainage-network

display_name: drainage-network

dynamics

display_name: dynamics

erlenbach

display_name: erlenbach

water-level

display_name: water-level


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Jussy in Switzerland where one station is located within a natural broad-leaved forest stand (JUB) with sessile oak (_Quercus petrea_; 90 yrs), aspen (_Populus tremula_; 60 yrs) and European hornbeam (_Carpinus betulus_; 60 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, JUF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Jussy is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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

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

en:
Resource Title: Site photo of the forest station (JUB)
    Size: 5383408 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/1bbb5ed2-481b-41fe-91c1-b2976b26b8c8/download/jub.jpg
    Description: Site photo of the forest station from the side.

format: jpeg

en:
Resource Title: Site aerial photo (Jussy)
    Size: 9075365 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/7081d2c5-f8df-4bcd-bddd-5d9e3ece1239/download/jufront.jpg
    Description: Site aerial photo from both Jussy stations. Source: Google. 2016. Site aerial photo from both Jussy stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en:
Resource Title: Data plot of the forest station (JUB)
    Size: 238163 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/7ee946ed-f2cd-4c63-8b28-41f5c804b1a9/download/jubplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site photo of the field station (JUF)
    Size: 627860 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/748cb54f-8eee-4777-b194-49903ae68da5/download/juf.jpg
    Description: Site photo of the field station from the side.

en:
Resource Title: Forest station data (JUB)
    Size: 10879542 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/d29d718d-5305-41ba-9d6d-811615b45586/download/jubforest.csv
    Description: Data file.

format: CSV

media_type: text/csv

en:
Resource Title: Data plot of the field station (JUF)
    Size: 11278059 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/a3786108-900a-4eed-a325-0277a5c7000f/download/juffield.csv
    Description: Data file.

en:
Resource Title: Data plot of the field station (JUF)
    Size: 281673 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/936684d9-ba55-49bb-b098-9ffbaf08261f/resource/a9f24dcd-7e4a-4b63-8dbe-29e136d81b4c/download/jufplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature


seilaplan-tutorial-merge-dtm-tiles

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. In this tutorial video, we show how to merge multiple DTM raster tiles into one file, using the QGIS tool ‘Virtual Raster’. This simplifies the digital planning of a cable line using the QGIS plugin ‘Seilaplan’. Please note that the tutorial language is German!
Link to Seilaplan website: https://seilaplan.wsl.ch
***************************
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. In diesem Tutorialvideo zeigen wir, wie man mit dem QGIS-Plugin Virtuelles Raster mehrere DHM-Kacheln zu einem einzigen Rasterfile zusammenfügen und abspeichern kann. Für die Seillinienplanung mit Seilaplan muss nun nur noch eine Datei, mein neues virtuelles Raster, ausgewählt werden.
Link zur Seilaplan-Website: https://seilaplan.wsl.ch

en: seilaplan digital-elevation-model swiss-geodata raster-processing geoinformation-system geodata-processing open-source digital-planning qgis-plugin cable-yarding

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: Seilaplan Tutorial: Merge DTM tiles

title_for_slug: seilaplan-tutorial-merge-dtm-tiles

envi

en: Environment

en:
Resource Title: View video on youtube!
    Size: 1024 bytes
    Format: No Info
    URL: https://youtu.be/UcORl_PU3No
    Description:

en:
Resource Title: DHM-Kacheln zusammenfügen
    Size: 292363579 bytes
    Format: video/mp4
    URL: https://www.envidat.ch/dataset/15cd0733-843f-4491-9998-f437b4cc1df4/resource/ba9ff01f-f7b8-4b35-957d-ff35889a7979/download/seilaplan_tutorial_3_virtuellesraseter.mp4
    Description:

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geodata-processing

display_name: geodata-processing

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

raster-processing

display_name: raster-processing

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata


data-set-on-snow-instability

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.
Please refer to the Read-me file for further details on the data.
These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

en: slab-tensile-support failure-initiation propgatoin-saw-test snow-stability-evaluation rutschblock slab avalanche-forcasting crack-propagation snow-avalanche weak-layer

en: Data set on snow instability

title_for_slug: data-set-on-snow-instability

en:
Resource Title: Read-me file on snow instability data
    Size: 172308 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/3735a11a-34a5-4a83-b2db-ed22484589d8/resource/7ca3bf86-f927-43d0-bc49-56b444d42dcb/download/read-me_data_sets_snow_instability.pdf
    Description:

en:
Resource Title: data set on snow instability
    Size: 10332 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3735a11a-34a5-4a83-b2db-ed22484589d8/resource/25cec3bc-4c79-411b-b04f-5bee43114c42/download/snow_instability_data.csv
    Description:

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer


carabid-beetles-in-forests

en:
Carabidae data from all historic up to the recent projects (21.10.2019) of WSL, collected with various methods in forests of different types.
Version 2 ('FIDO_global_extract 2019-11-22_18-11-24 WSL-Forest-Carabidae') contains additional data field PROJ_FALLENBEZEICHNUNG.
Data are provided on request to contact person against bilateral agreement.

en: forest trapping arthropoda carabidae running-beetles insects coleoptera

en: Carabid beetles in forests

title_for_slug: carabid-beetles-in-forests

en:
Resource Title: FIDO_global_extract 2019-10-21_15-36-33 WSL-Forest-Carabidae.sql
    Size: 7054 bytes
    Format: application/x-sql
    URL: https://www.envidat.ch/dataset/9e84cac9-f613-48ee-b784-4839e2e4d66b/resource/c1ac034b-97ff-40af-bf44-7980f4862773/download/fido_global_extract-2019-10-21_15-36-33-wsl-forest-carabidae.sql
    Description: Data query used on Fauna Database to retrieve the submitted data.

en:
Resource Title: FIDO_global_extract 2019-10-21_15-36-33 WSL-Forest-Carabidae.txt
    Size: 26257912 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/9e84cac9-f613-48ee-b784-4839e2e4d66b/resource/59e9fccd-cc64-41c4-80a4-25f947d3a0d6/download/fido_global_extract-2019-10-21_15-36-33-wsl-forest-carabidae.txt
    Description: Data extract in TAB-delimted format. First row is header, first column is counter.

en:
Resource Title: FIDO_global_extract 2019-11-22_18-11-24 WSL-Forest-Carabidae.sql
    Size: 7228 bytes
    Format: application/x-sql
    URL: https://www.envidat.ch/dataset/9e84cac9-f613-48ee-b784-4839e2e4d66b/resource/2ed9a413-7520-49ce-88fd-4558f80ff952/download/fido_global_extract-2019-11-22_18-11-24-wsl-forest-carabidae.sql
    Description: SQL query used to extract the data from fauna database.

en:
Resource Title: FIDO_global_extract 2019-11-22_18-11-24 WSL-Forest-Carabidae.txt
    Size: 26421343 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/9e84cac9-f613-48ee-b784-4839e2e4d66b/resource/31809c51-86a7-4d35-8b2f-8979c105598f/download/fido_global_extract-2019-11-22_18-11-24-wsl-forest-carabidae.txt
    Description: Tab-delimited data of the according sql query.

arthropoda

display_name: arthropoda

carabidae

display_name: carabidae

coleoptera

display_name: coleoptera

forest

display_name: forest

insects

display_name: insects

running-beetles

display_name: running-beetles

trapping

display_name: trapping


climarctic-seasons

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

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

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: Climarctic seasons

title_for_slug: climarctic-seasons

arctic

display_name: arctic

greenhouse-gases

display_name: greenhouse-gases

microbial-biodiversity

display_name: microbial-biodiversity

microbial-functions

display_name: microbial-functions

soil

display_name: soil


swiss-fluxnet-site-lageren

en:
The Swiss FluxNet Site Lägeren is a managed mixed deciduous mountain forest located on the steep Lägeren mountain (NW of Zurich, Swiss Plateau). The forest is highly diverse, dominated by beech, but also including ash, maple, spruce and fir trees. Eddy covariance flux measurements were started in April 2004. The site was part of the international CarboEurope IP network and the National Air Pollution Monitoring Network (NABEL). In addition to Swiss FluxNet, the site is part of the Long-term Forest Ecosystem Research (LWF) of WSL and the biological drought and growth indicator network (TreeNet) of WSL.
Measurements
- Ecosystem flux measurements of CO2, H2O vapour are performed with the eddy-covariance method. This method is based on measurements of trace gas mixing ratios, using infrared gas analyzers (for CO2, H2O vapor), combined with wind speed and wind direction measurements, using 3D sonic anemometers. To resolve the short-term turbulent fluctuations in the atmosphere, very fast measurements are needed: we measure at 10-20 Hz, i.e., 10-20 times per second. To assess the energy budget of each ecosystem, also radiation sensors and soil climate profiles are installed at the site.
- Sub-canopy eddy fluxes (CO2, H2O), soil respiration campaigns
- Continuous CO2 profile measurements.
- Auxiliary micrometeorology and soil climate measurements.
Data availability
All data are available from the European Fluxes Database Cluster, but are also part of Fluxnet2015 dataset.
Data policy
ICOS data license:
[https://www.icos-cp.eu/data-services/about-data-portal/data-license](https://www.icos-cp.eu/data-services/about-data-portal/data-license)
Detailed site info:
[https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae//](https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae/)

en: flux meteorological-measurements forest greenhouse-gas swiss-fluxnet eddy-covariance swiss-forest-lab

en: Swiss FluxNet Site Lägeren

title_for_slug: swiss-fluxnet-site-lageren

envi

en: Environment

en:
Resource Title: Data access
    Size: 1024 bytes
    Format: No Info
    URL: http://www.europe-fluxdata.eu/home/site-details?id=CH-Lae
    Description: The flux and meteo data of the Swiss FluxNet site Lägeren are openly available from the European Fluxes Database Cluster.

en:
Resource Title: Site description
    Size: 512219 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4666c33f-b2af-495c-ac49-4fdec3e26bd1/resource/3e9fc3ba-afc4-41f9-b8ca-488ca6810669/download/swissfluxnet_lae_sitedescription.pdf
    Description:

eddy-covariance

display_name: eddy-covariance

flux

display_name: flux

greenhouse-gas

display_name: greenhouse-gas

meteorological-measurements

display_name: meteorological-measurements

swiss-fluxnet

display_name: swiss-fluxnet

swiss-forest-lab

display_name: swiss-forest-lab


en:
Monitoring fish diversity through eDNA metabarcoding along the Casamance river
In 2018, water samples were collected in 13 locations along the Casamance in Senegal. Samples were taken either from a boat or by filtering from the side of the river. At each station, two filtration replicates were performed using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 min, during which approximately 30 liters of water were filtered through each filtration capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. We use primers for eukaryote and fish. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: fish edna teleo metabarcoding senegal

en: Environmental DNA Freshwater Senegal Casamance 2018

edna

display_name: edna

fish

display_name: fish

metabarcoding

display_name: metabarcoding

senegal

display_name: senegal

teleo

display_name: teleo


en:
Compilation of normalized crack-propagation speeds (expressed as a fraction of the slab shear-wave speed).
The dataset contains crack-propagation speeds from DEM simulations (79 flat and 6 tilted; Bobillier et al., 2024), MPM simulations (48 flat and 191 tilted; Trottet et al., 2022), and field measurements: PSTs (222 data points, including 192 from low-angle terrain - 30°; van Herwijnen et al., 2016) and avalanche-video analyses (6 cross-slope and 5 down-slope speeds; Trottet et al., 2022).
The dataset also includes Python scripts that generate the relative-frequency distribution of the compiled, normalized crack-propagation speeds.
Bobillier, G., Bergfeld, B., Dual, J., Gaume, J., van Herwijnen, A., 55 and Schweizer, J.: Numerical investigation of crack propagation regimes in snow fracture experiments, https://doi.org/10.1007/s10035-024-01423-5 2024
Trottet, B., Simenhois, R., Bobillier, G., Bergfeld, B., van Herwijnen, A., Jiang, C. F. F., and Gaume, J.: Transi- 55 tion from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches, Nat. Phys., 18, 1094–1098, https://doi.org/10.1038/s41567-022-01662-4, 2022.
van Herwijnen, A., Gaume, J., Bair, E. H., Reuter, B., Birkeland, K. W., and Schweizer, J.: Estimating the effective elastic modulus and specific fracture energy of snowpack layers from field experiments, J. Glaciol., 62, 997–1007, https://doi.org/10.1017/jog.2016.90, 2016a.

en: crack-propagation weak-layer field-data dry-snow-avalanche numerical-simulations crack-speed

en: Compilation of normalized  crack propagation speeds

en:
Resource Title: DEM_dataNormalizedByc_slope_data.txt
    Size: 156 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/78b26ac4-e690-4371-acc1-42611d937d78/download/dem_datanormalizedbyc_slope_data.txt
    Description: DAM data slope terrain

en:
Resource Title: NHESS_Fig2.py
    Size: 5481 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/6821e603-5e6c-43b4-ab07-b435fd406321/download/nhess_fig2.py
    Description:

format: OCTET

en:
Resource Title: NHESS_Fig2.py
    Size: 5481 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/270844a2-5218-43a6-95f4-7b81eccd6e3f/download/nhess_fig2.py
    Description: Python scripts that generate the relative-frequency distribution of the compiled, normalized crack-propagation speeds.

en:
Resource Title: MPM_dataNormalizedByc_flat_data.txt
    Size: 1248 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/9331f966-5264-425d-9e37-155b0b69fceb/download/mpm_datanormalizedbyc_flat_data.txt
    Description: MPM data flat terrain

en:
Resource Title: PST_dataNormalizedByc_slopeHigher30deg_data.txt
    Size: 754 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/997b18ab-9e57-469a-b72e-8da079e2bc4f/download/pst_datanormalizedbyc_slopehigher30deg_data.txt
    Description: Field data PST >30deg

en:
Resource Title: DEM_dataNormalizedByc_flat_data.txt
    Size: 2055 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/458d8261-9b42-4f10-9c30-3979046a0e3a/download/dem_datanormalizedbyc_flat_data.txt
    Description: DEM data flat terrain

en:
Resource Title: MPM_dataNormalizedByc_slope_data.txt
    Size: 4966 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/5f43f7ec-28d5-4b0d-b308-78ed4c3084e7/download/mpm_datanormalizedbyc_slope_data.txt
    Description: MPM data slope terrain

en:
Resource Title: Video_dataNormalizedByc_slope_data.txt
    Size: 130 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/5aff5cf6-1c1f-4186-bf56-f1e71348016b/download/video_datanormalizedbyc_slope_data.txt
    Description: Video analyze data up-slope

en:
Resource Title: PST_dataNormalizedByc_slopeLess30deg_data.txt
    Size: 4992 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/9c7c9f4f-74c1-458e-a01d-c0cdc361fe0b/download/pst_datanormalizedbyc_slopeless30deg_data.txt
    Description: Field data PST <30deg

en:
Resource Title: Video_dataNormalizedByc_flat_data.txt
    Size: 156 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/abf2a891-3382-4ca2-82cd-90c30ffb898d/download/video_datanormalizedbyc_flat_data.txt
    Description: Video analyze data cross slope

crack-propagation

display_name: crack-propagation

crack-speed

display_name: crack-speed

dry-snow-avalanche

display_name: dry-snow-avalanche

field-data

display_name: field-data

numerical-simulations

display_name: numerical-simulations

weak-layer

display_name: weak-layer


en:
Description
This dataset contains continuous sap-flow measurements and derived whole-tree transpiration estimates for 45 Pinus sylvestris trees at the Pfynwald experimental platform in southwestern Switzerland during 2024–2025. Trees were distributed across five treatment combinations established within the VPDrought experiment: Control, Irrigation, Irrigation + VPD reduction, Roof, and Roof + VPD reduction. Sap flux density was measured every 10 min using heat-ratio sap-flow sensors (IX-SF30, Implexx, Melbourne, Australia) installed at breast height on the north-facing side of each tree.
Raw temperature signals were converted to sap flux density following the heat ratio method (Marshall 1958; Burgess et al. 2001; Forster 2019). Thermal diffusivity and related wood properties were parameterized using increment cores collected near the site and tree-specific allometric relationships. Probe misalignment was corrected by estimating a zero-flow offset from nighttime measurements during well-watered, low-VPD conditions in February 2024 and subtracting this offset from the full time series.
Sap flux density measurements at 0.5 and 1.5 cm sapwood depth were combined to total sap flow for the depth where the sensors were installed. Whole-tree transpiration can be calculated by integrating sap flux density across concentric sapwood depth of 2 cm.
The dataset includes processed sap flux density values together with metadata on treatment, tree identity, sensor depth, and quality-control corrections. Limitations include possible residual uncertainty due to sensor drift, assumptions in the sapwood depth, and the replacement of two trees that died during summer 2024 and lost parts of their crown in 2025.
 Additional Information
Data processing was performed in an R environment following the heat ratio method workflow described by Forster (2019). Raw heat-pulse measurements were converted to sap flux density and subsequently corrected for thermal diffusivity, and probe misalignment. Outliers and implausible values were identified and removed using the R package datacleanr (Hurley et al. 2022). Sensor needle misalignment was corrected by defining a zero-flow offset during periods of low atmospheric demand and assumed zero sap flow (i.e. rainy periods), and subtracting this offset from the time series. The processing script used to derive the dataset is available from the authors upon request.
Relevant literature:
- Burgess S.S.O., Adams M.A., Turner N.C., Beverly C.R., Ong C.K., Khan A.A.H. & Bleby T.M. (2001) An improved heat pulse method to measure low and reverse rates of sap flow in woody plants†. Tree Physiology 21, 589–598.
- Forster M.A. (2019) The Dual Method Approach (DMA) Resolves Measurement Range Limitations of Heat Pulse Velocity Sap Flow Sensors. Forests 10.
- Hurley A.G., Peters R.L., Pappas C., Steger D.N. & Heinrich I. (2022) Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package. PLOS ONE 17, e0268426-.
- Marshall D.C. (1958) Measurement of Sap Flow in Conifers by Heat Transport. 1. Plant Physiology 33, 385–396.

en: forest-ecophysiology rain-exclusion pinus-sylvestris tree-transpiration irrigation rhone-valley reduction continuous-monitoring sap-flow transpiration vpdrought vpd xylem-flux drought-experiment pfynwald

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: Pfynwald VPDrought  experiment sap flow parameter

envi

en: Environment

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2024.zip
    Size: 53546175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/6a0cd3b8-8e29-4b85-9296-86196808fd32/download/pfynwald_vpdrought_sapflow_10minutes_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2025.zip
    Size: 53424631 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/455662d6-f0b7-4ea8-8cb6-d31eb714952e/download/pfynwald_vpdrought_sapflow_10minutes_2025.zip
    Description:

continuous-monitoring

display_name: continuous-monitoring

drought-experiment

display_name: drought-experiment

forest-ecophysiology

display_name: forest-ecophysiology

irrigation

display_name: irrigation

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

rain-exclusion

display_name: rain-exclusion

reduction

display_name: reduction

rhone-valley

display_name: rhone-valley

sap-flow

display_name: sap-flow

transpiration

display_name: transpiration

tree-transpiration

display_name: tree-transpiration

vpd

display_name: vpd

vpdrought

display_name: vpdrought

xylem-flux

display_name: xylem-flux


en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).
Please refer to the Readme file for further details on the data.
These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

en: snowpack snow-stability-evaluation avalanche avalanche-forecast snow

en: Validating and improving the critical crack length in SNOWPACK

en:
Resource Title: Extracted data
    Size: 197562 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/42774021-73e4-49b2-a714-b192a0e3cc14/download/extracted_data.zip
    Description: Extracted data contain validation and results published in Richter et al. (2019).

en:
Resource Title: SNOWPACK simulations
    Size: 21903741 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/6b0dc93f-34d1-48e2-bf69-3f9254e34692/download/snowpack.zip
    Description: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en:
Resource Title: README
    Size: 18771 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/b6cfb0c3-2bb3-4fa1-859d-5861983aa785/download/readme.txt
    Description: README file explaining data structure and content

en:
Resource Title: Stability tests
    Size: 6975 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/98cbbb6e-bfad-4b71-b920-e3def95143d3/download/stability_tests.zip
    Description: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

en:
Resource Title: Manually observed snow profiles
    Size: 27333 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/74bf515b-cd6b-4e97-be6d-4356f0af6d3d/download/manual_snow_profiles.zip
    Description: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow

display_name: snow

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack


asiatische-hornisse-nester-inaktiv

de: Der Datensatz zeigt alle zerstörten Nester der invasiven Asiatischen Hornisse im Kanton Aargau. Die Nester wurden entfernt und vernichtet.

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

de: AGIS Service Center Kanton Aargau

political_level: canton

de: Landwirtschaft Aargau

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

de: Asiatische Hornisse Nester zerstört

title_for_slug: asiatische-hornisse-nester-inaktiv

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

de: AGIS Direktdownload

format: XML

media_type: application/xml

value: Aargau-Kt - Geocat Harvester


de: Die Polygone zeigen die 1 km-Umkreise um die Fundorte der invasiven Asiatischen Hornisse im Kanton Aargau.

de: Asiatische Hornisse 1km Puffer


asiatische-hornisse-individuen

de: Der Datensatz zeigt alle Einzelfunde (Individuen) der invasiven Asiatischen Hornisse im Kanton Aargau.

de: Asiatische Hornisse Individuen

title_for_slug: asiatische-hornisse-individuen


asiatische-hornisse-nester-aktiv

de: Der Datensatz zeigt alle aktiven Nester der invasiven Asiatischen Hornisse im Kanton Aargau. Die Nester wurden noch nicht entfernt.

de: Asiatische Hornisse Nester aktiv

title_for_slug: asiatische-hornisse-nester-aktiv


liegenschafteninventar-ogd

de:
Das Liegenschafteninventar OGD umfasst alle Grundstücke und Gebäude, die im Eigentum der Stadt Zürich sind mit Ausnahme der Strassen und Plätze (öffentlicher Grund). Zusätzlich sind wichtige Rechte (Wegrechte etc.) enthalten.

Mit Gemeindeabstimmung vom 27. September 2020 wurden die Finanzkompetenzen für den Erwerb von Liegenschaften neu geregelt (Teilrevision Gemeindeordnung, Inkraftsetzung 1. Juli 2021). Parallel dazu hat der Gemeinderat in Art. 14bis Finanzhaushaltverordnung (AS 611.101) neue Informations- und Dokumentationspflichten im Zusammenhang mit dem Erwerb und der Zuordnung von städtischen Liegenschaften festgelegt. Diese umfassen u.a. die laufende Aktualisierung eines öffentlich einsehbaren geodatenbasierten Liegenschafteninventars einschliesslich Angaben zur Vermögenszuweisung.

**Zweck**: Das Inventar dient der Stadt Zürich, Liegenschaften, beim Verwalten, Kaufen und Verkaufen von Grundstücken und Gebäuden.
Das Inventar dient den Dienststellen der Stadt Zürich als Grundlage für die verwaltungsinternen Aufgaben sowie der Öffentlichkeit als Information über das städtische Eigentum. Der Datensatz enthält keine Finanzwerte.

de: gebaude geodaten geoportal grundstucke liegenschaften polygondaten punktdaten stiftungen stzh vektordaten wohnungen

stadt-zurich

fr: Vous trouverez ici les données de la ville de Zürich. En parallèle, Open Data Zürich a son propre portail Open Data où vous pouvez trouver également des manuels et des documents sur le traitement des données. À de rares exceptions près, toutes les données publiées par Open Data Zürich sont sous une licence «Creative Commons Zero».

de: Open Data Zürich stellt hier offene Daten aus der Stadt Zürich zur freien Nutzung bereit. Die Stadt Zürich verfügt parallel über ein eigenes Open Data Portal, auf dem Sie auch Anleitungen und Dokumentationen zum Umgang mit Datensätzen finden. Mit wenigen Ausnahmen sind alle Datensätze der Stadt Zürich mit «Creative Commons Zero» lizenziert.

en: Here you find all publicly available data published by Open Data Zürich. In addition, the city of Zurich runs its own Open Data Portal, where you find manuals and documentation about the handling of datasets. With only a few exceptions, all datasets from Open Data Zürich are licensed under «Creative Commons Zero».

it:
Open Data Zürich propone qui dati pubblici della città di Zurigo, pronti alla libera utilizzazione.
La città di Zurigo dispone parallelamente di un proprio portale Open Data, sul quale sono disponibili anche istruzioni e documentazioni per contestualizzare i datasets.
A parte poche eccezioni tutte le datasets della città di Zurigo hanno una licenza «Creative Commons Zero».

de: Stadt Zürich

en: City of Zurich

fr: Ville de Zurich

it: Cità di Zurigo

political_level: commune

name: Prozesse & Qualität, Liegenschaften Stadt Zürich, Finanzdepartement

de: Liegenschafteninventar OGD

title_for_slug: liegenschafteninventar-ogd

value: ZH - DCAT Harvester

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

format: DXF

format: GPKG

format: JSON

media_type: application/json

format: SHP

de: Web Feature Service

format: WFS

de: Web Map Service

format: WMS


inventar-hauptarchiv-des-stadtarchivs

de: Inventar des Hauptarchivs des Stadtarchivs Zürich. Die Tabelle wird über den [Online-Archivkatalog des Stadtarchivs Zürich](https://amsquery.stadt-zuerich.ch/suchinfo.aspx) erstellt und umfasst den Inhalt des Abschnitt "V. Hauptarchiv". Weitere Informationen und eine Anleitung zur Benutzung der Schnittstelle finden sich [hier](https://opendatazurich.github.io/sar-sru-api/).

de: archiv archivdaten geschichte glam openglam stadtrat

de: Inventar Hauptarchiv des Stadtarchivs

title_for_slug: inventar-hauptarchiv-des-stadtarchivs

archiv

display_name: archiv

archivdaten

display_name: archivdaten

geschichte

display_name: geschichte

glam

display_name: glam

openglam

display_name: openglam

stadtrat

display_name: stadtrat


de: Dieser Datensatz enthält Informationen zur Zugänglichkeit öffentlicher Gebäude, die von Pro Infirmis erfasst wurden. Abgedeckt werden verschiedene Aspekte der Zugänglichkeit, darunter Rollstuhlgängigkeit, Zugänglichkeit für Menschen mit Seh- oder kognitiver Beeinträchtigung.

de: api barrierefreiheit gebaeude github parkplatz rollstuhl tabelle wc zugaenglichkeit

name: Immobilien Stadt Zürich, Hochbaudepartement

de: Informationen zur Zugänglichkeit öffentlicher Gebäude der Stadt Zürich

api

display_name: api

barrierefreiheit

display_name: barrierefreiheit

gebaeude

display_name: gebaeude

github

display_name: github

parkplatz

display_name: parkplatz

rollstuhl

display_name: rollstuhl

tabelle

display_name: tabelle

wc

display_name: wc

zugaenglichkeit

display_name: zugaenglichkeit


brunnenfotos-der-stadt-zurich

de: Dieser Datensatz ergänzt den [Geodatensatz mit den Brunnen der Stadt Zürich](https://data.stadt-zuerich.ch/dataset/geo_brunnen). Er enthält die URLs der öffentlich zugänglichen [Brunnenwebseiten](https://www.stadt-zuerich.ch/de/umwelt-und-energie/wasser/trinkwasser/brunnen.html) sowie der zugehörigen Fotos. Über die Brunnennummer lassen sich diese Informationen mit dem Geodatensatz verknüpfen.

de: bilder brunnen fotos github trinkwasser wasserversorgung

stadt-zurich

de: Open Data Zürich stellt hier offene Daten aus der Stadt Zürich zur freien Nutzung bereit. Die Stadt Zürich verfügt parallel über ein eigenes Open Data Portal, auf dem Sie auch Anleitungen und Dokumentationen zum Umgang mit Datensätzen finden. Mit wenigen Ausnahmen sind alle Datensätze der Stadt Zürich mit «Creative Commons Zero» lizenziert.

name: Wasserversorgung, Departement der Industriellen Betriebe

de: Brunnenfotos der Stadt Zürich

title_for_slug: brunnenfotos-der-stadt-zurich

bilder

display_name: bilder

brunnen

display_name: brunnen

fotos

display_name: fotos

trinkwasser

display_name: trinkwasser

wasserversorgung

display_name: wasserversorgung


kamerun-sammlungen-am-mrz

de:
Das Museum Rietberg verfügt seit seiner Gründung über erste Objekte aus Kamerun; im Laufe der Jahre wurde dieser Bestand kontinuierlich erweitert. Im Rahmen eines CAS in Provenienzforschung hat Jonas Lendenmann einen umfassenden Überblick über die Provenienzen dieser Sammlung erarbeitet. Seine Studie bietet nicht nur detaillierte Einblicke in die Herkunft der Objekte, sondern liefert auch wichtige Kontextinformationen zur Sammlungsgeschichte, zu Ausstellungstätigkeiten sowie zu Kooperationen des Museums.
Die vollständige Arbeit steht auf der Webseite des Museum Rietberg zum Download bereit.
Der vorliegende Datensatz basiert auf den von Jonas Lendenmann recherchierten und aufbereiteten Informationen zu den Sammlungsobjekten aus Kamerun.

de: kamerun provenienzforschung sammler github

stadt-zurich

de: Stadt Zürich

name: Museum Rietberg Zürich, Präsidialdepartement

de: Kamerun Sammlungen am MRZ

title_for_slug: kamerun-sammlungen-am-mrz

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

kamerun

display_name: kamerun

provenienzforschung

display_name: provenienzforschung

sammler

display_name: sammler


stromversorgung-netzgebiete

de: Stromversorgung Netzgebiete: Datensatz beinhaltet die Gebiete der Elektrizitätsversorgungsunternehmen (EVU) mit ihren Namen und den Ansprechpersonen des lokalen Verteilnetzes Niederspannung (Netzgebiete Ebene 7), des regionalen Verteilnetzes Mittelspannung (Netzgebiet Ebene 5) und des überregionalen Verteilnetzes Hochspannung (Netzgebiete Ebene 3).

en: geodata province energy electricity-company electric-power-supply

de: geodaten gebiet energie elektrizitatsgesellschaft elektrizitatsversorgung

fr: geodonnees province energie compagnie-delectricite approvisionnement-en-electricite

it: geodati provincia energia ente-per-lenergia-elettrica fornitura-di-energia-elettrica

kanton-thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Kanton Thurgau

en: Canton of Thurgau

fr: Canton de Thurgovie

it: Cantone di Turgovia

de: Kanton Thurgau, Amt für Geoinformation

fr: Kanton Thurgau, Amt für Geoinformation

en: Kanton Thurgau, Amt für Geoinformation

de: geocat.ch Permalink

spatial: Kanton Thurgau (TG)

de: Stromversorgung Netzgebiete

title_for_slug: stromversorgung-netzgebiete

de: stromversorgung

de: ThurGIS Shop

value: TG-Kt - Geocat Harvester


biberreviere

de: Der Datensatz zeigt die Zentren der Biberreviere im Kanton Thurgau. Die systematische Bestandeserhebung erfolgt seit Winter 2007/08 jeweils im Abstand von 5 Jahren nach einer schweizweit standardisierten Methode. Bei der letzten Erhebung wurden total 900 km Gewässerlänge kartiert. Die Revierzentren werden anhand der im Feld kartierten Biberspuren (Dämme, Baue, Frass- und Fussspuren) theoretisch abgeleitet.

en: geodata animal-ecology animal-species animal-population animal-habitat

de: geodaten tierokologie tierart tierbestand tierhabitat

fr: geodonnees ecologie-animale espece-animale population-animale habitat-animal

it: geodati ecologia-animale specie-animale popolazione-animale habitat-animale

de: Biberreviere

title_for_slug: biberreviere

envi

de: Umwelt

en: Environment

de: Biber


schulgemeinden

de: Grenzen der Schulgemeinden im Kanton Thurgau, beinhaltet Volksschulgemeinden, Sekundarschulgemeinden und Primarschulgemeinden

en: geodata regional-authority school

de: geodaten regionalbehorde schule

it: geodati autorita-regionale scuola

de: Schulgemeinden

title_for_slug: schulgemeinden

regi

de: Regionen und Städte


de: Der Datensatz enthält die Analysedaten der Grundwasser-Beprobungs-Kampagnen des Kantons Basel-Stadt seit dem Jahr 1993.  Es werden Konzentrationsangaben zu verschiedenen Inhalts- resp. Schadstoffen mit Bezug auf den Brunnennamen sowie der geographischen Koordinaten gemacht.Weitere Informationen: [https://www.bs.ch/wsu/aue/abteilung-gewaesser-und-boden#oberflaechengewaesser-und-fischerei](https://www.bs.ch/wsu/aue/abteilung-gewaesser-und-boden#oberflaechengewaesser-und-fischerei)

de: wasserqualitat fluss reserve chemie rus messwert wassertemperatur

kanton-basel-stadt

fr: Le canton de Bâle-Ville publie des ensembles de données ouvertes (Open Government Data) provenant des offices et services cantonaux. **Open Data Basel-Stadt** est responsable du soutien aux services administratifs qui publient des données.

en: The Canton of Basel-Stadt publishes open government datasets from cantonal offices and departments. **Open Data Basel-Stadt** is responsible for supporting the administrative units that publish data.

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

it: Il Cantone di Basilea-Città pubblica set di dati aperti (Open Government Data) provenienti dagli uffici e dai servizi cantonali. **Open Data Basel-Stadt** è responsabile del supporto agli uffici amministrativi che pubblicano i dati.

de: Kanton Basel-Stadt

en: Canton of Basel-City

fr: Canton de Bâle-Ville

it: Cantone di Basilea-Città

de: Amt für Umwelt und Energie

de: Umweltanalyse Grundwasser

value: BS Kanton Stadt - DCAT Harvester

de: Umweltanalyse Grundwasser (csv)

de: csv

de: Umweltanalyse Grundwasser (json)

de: json

de: Umweltanalyse Grundwasser (fgb)

de: fgb

de: Umweltanalyse Grundwasser (geojson)

de: geojson

de: Umweltanalyse Grundwasser (gpx)

de: gpx

format: GPX

de: Umweltanalyse Grundwasser (jsonl)

de: jsonl

de: Umweltanalyse Grundwasser (kml)

de: kml

format: KML

de: Umweltanalyse Grundwasser (ov2)

de: Umweltanalyse Grundwasser (parquet)

de: parquet

format: PARQUET

de: Umweltanalyse Grundwasser (rdfxml)

de: rdfxml

format: RDF XML

media_type: application/rdf+xml

de: Umweltanalyse Grundwasser (jsonld)

de: jsonld

format: JSON-LD

de: Umweltanalyse Grundwasser (turtle)

de: turtle

format: RDF Turtle


de: Für jeden Flughafen ist eine Sicherheitszone zu errichten, welche den Luftraum vor Hindernissen schützt. Das BAZL entscheidet im Einzelfall, ob für Flugsicherungsanlagen und Flugwege eine Sicherheitszone erforderlich ist. Für die Festsetzung der Sicherheitszonen sind die Hindernisbegrenzungsflächen-Kataster massgebend. Die Sicherheitszone wird in einem Zonenplan dargestellt, aus dem die Eigentumsbeschränkungen nach Fläche und Höhe ersichtlich sind. Die genehmigten Sicherheitszonenpläne werden mit ihrer Veröffentlichung in den kantonalen Publikationsorganen verbindlich und stellen eine öffentlich-rechtliche Eigentumsbeschränkung dar.

fr: Une zone de sécurité doit être établie pour chaque aéroport. Pour les installations de navigation aérienne et les trajectoires de vol, l’OFAC décide dans chaque cas si une zone de sécurité est nécessaire. Le cadastre des surfaces de limitation d’obstacles est déterminant pour établir les zones de sécurité. Elles sont représentées dans un plan de zone indiquant les restrictions de la propriété en surface et en hauteur. Le plan des zones de sécurité approuvé entre en force par sa publication dans les organes officiels cantonaux et constitue une restriction de droit public apportée à la propriété foncière.

it: Per ogni aeroporto deve essere fissata una zona di sicurezza volta a proteggere lo spazio aereo da ostacoli. L’UFAC decide caso per caso se è necessario fissare una zona di sicurezza per gli impianti della navigazione aerea e le traiettorie di volo. Per la delimitazione delle zone di sicurezza è determinante il catasto delle superfici di limitazione degli ostacoli. La zona di sicurezza è illustrata in un piano di zona che indica le restrizioni della proprietà in superficie e in altezza. I piani delle zone di sicurezza approvati diventano vincolanti con la pubblicazione negli organi cantonali ufficiali e rappresentano una restrizione di diritto pubblico della proprietà.

en: For each airport, a security zone is to be established, which protects the airspace from obstacles. The FOCA will decide in each case whether a safety zone is necessary for air navigation equipment and flight paths. Authoritative for the establishment of safety zones is the cadastre of obstacle limitation surfaces. The safety zones are represented in a zone map, where the restrictions of property rights on area and height are shown. The approved security zone plans are binding upon publication in the cantonal publications and constitute a public property restriction.

de: zonenplan oreb luftfahrt flugplatz luftfahrthindernis flughafen zivilluftverkehr luftverkehr sicherheit bgdi-bundesgeodaten-infrastruktur

bundesamt-fur-zivilluftfahrt-bazl

fr: L’Office fédéral de l’aviation civile (OFAC) est l’organe compétent en matière de politique aéronautique et de surveillance de l'aviation civile suisse. Placé sous l’autorité du Département fédéral de l’environnement, des transports, de l’énergie et de la communication (DETEC), l’OFAC veille à ce que l’aviation civile suisse bénéficie d’un niveau de sécurité élevé et suive un développement durable.

de: Das Bundesamt für Zivilluftfahrt (BAZL) ist für die Luftfahrtentwicklung und die Aufsicht über die zivile Luftfahrt in der Schweiz zuständig. Das BAZL gehört zum Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK) und ist dafür verantwortlich, dass die Zivilluftfahrt in der Schweiz ein hohes Sicherheitsniveau aufweist und eine nachhaltige Entwicklung verfolgt.

en: The Federal Office of Civil Aviation (FOCA) is responsible for aviation development and the supervision of civil aviation activities in Switzerland. The FOCA is part of the Federal Department of the Environment, Transport, Energy and Communications (DETEC) and is charged with ensuring that the high safety standards in civil aviation in Switzerland are maintained, and with pursuing a policy of sustainable development.

it: L’Ufficio federale dell’aviazione civile (UFAC), che fa parte del Dipartimento federale dell’ambiente, dei trasporti, dell’energia e delle comunicazioni (DATEC), è responsabile dell’evoluzione nel settore aeronautico e della sorveglianza sull’aviazione civile in Svizzera. Esso garantisce uno standard di sicurezza elevato e promuove il principio dello sviluppo sostenibile nell’aviazione civile elvetica.

de: Bundesamt für Zivilluftfahrt BAZL

en: Federal Office of Civil Aviation FOCA

fr: Office fédéral de l'aviation civile OFAC

it: Ufficio federale dell’aviazione civile UFAC

political_level: confederation

de: Bundesamt für Zivilluftfahrt

fr: Office fédéral de aviation civile

it: Ufficio federale dell’aviazione civile

en: Federal Office of Civil Aviation

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: Schweiz

de: Sicherheitszonenplan Aenderung V2.0 OeREB

fr: Plan de la zone de sécurité modification V2.0 RDPPF

it: Piano delle zone di sicurezza modifica V2.0 RDPP

en: Safety zone plan modification V2.0 PLR

regi

de: Regionen und Städte

de: Link für Datenbezug

fr: Lien vers la distribution des données

it: Link per le fonti dei dati

en: Link for data download

de: Link zum WMS

fr: Lien vers le WMS

it: Link verso WMS

en: Link to WMS

value: BAZL - Geocat Harvester


tagesdistanz-nach-verkehrsmittel

de:
Durchschnittliche Tagesdistanz (m) pro Person nach Verkehrsmittel, Kanton Zug 2000 bis 2021.

(QUELLE: Bundesamt für Statistik, Mikrozensus Mobilität und Verkehr)

kanton-zug

de:
Hier veröffentlicht das Team von Open Data Zug von der kantonalen Fachstelle für Daten und Statistik schrittweise offene Behördendaten der kantonalen Verwaltung.

Weitere Informationen unter https://zg.ch/opendata

de: Kanton Zug

en: Canton of Zug

fr: Canton de Zoug

it: Cantone di Zugo

de: Fachstelle für Daten und Statistik des Kantons Zug

de: Tagesdistanz nach Verkehrsmittel

title_for_slug: tagesdistanz-nach-verkehrsmittel

value: DCAT Harvester Kt. ZG

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

mobilitat

display_name: mobilitat


tagesdistanzen-pro-person

de:
Durchschnittlich zurückgelegte Tagesdistanz (m) pro Person, Kanton Zug, 2000 bis 2021.

Da der Mikrozensus eine Stichprobe ist, sind die durchschnittlich zurückgelegten Distanzen von Unsicherheit behaftet. Darum wurde um die geschätzten durchschnittlichen Distanzen ein 90%-Vertrauensintervall gebildet, in welchem der tatsächliche Wert mit hoher Wahrscheinlichkeit liegt. Dafür wurde der gewichtete Standardfehler der Stichprobe zu der gewichteten, durchschnittlichen Tagesdistanz addiert, beziehungsweise von dieser subtrahiert.

(QUELLE: Bundesamt für Statistik, Mikrozensus Mobilität und Verkehr)

de: Tagesdistanzen pro Person

title_for_slug: tagesdistanzen-pro-person


tagesdistanz-nach-zweck

de:
Durchschnittliche Tagesdistanz (m) pro Person nach Zweck, Kanton Zug 2010 und 2021.

(QUELLE: Bundesamt für Statistik, Mikrozensus Mobilität und Verkehr)

de: Tagesdistanz nach Zweck

title_for_slug: tagesdistanz-nach-zweck


umzuge-in-den-kanton-zug

de:
Anzahl Umzüge in den Kanton Zug, 2018 bis 2024.

Kantone oder Gemeinden bei denen weniger als 5 Umzüge in den Kanton Zug gezählt wurden, werden zur Wahrung des Datenschutzes nicht ausgewiesen. Die Summe der Werte kann daher vom ausgewiesenen Total abweichen.

(QUELLE: Bundesamt für Statistik, Umzugsstatistik)

de: Umzüge in den Kanton Zug

title_for_slug: umzuge-in-den-kanton-zug

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

wohnen

display_name: wohnen


wegzuge-aus-dem-kanton-zug

de:
Anzahl Wegzüge aus dem Kanton Zug, 2018 bis 2024.

Kantone oder Gemeinden bei denen weniger als 5 Umzüge aus dem Kanton Zug gezählt wurden, werden zur Wahrung des Datenschutzes nicht ausgewiesen.

(QUELLE: Bundesamt für Statistik, Umzugsstatistik)

de: Wegzüge aus dem Kanton Zug

title_for_slug: wegzuge-aus-dem-kanton-zug


fr: Emplacement des panneaux des réserves naturelles cantonales.

en: forest-meadow forest

de: waldwiese forst

fr: prairie-forestiere foret

it: prato-boschivo foresta

canton-du-jura

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

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

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

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

de: Kanton Jura

en: Canton of Jura

fr: Canton du Jura

it: Canton Giura

fr: Office de l'environnement

de: geocat.ch Permalink

spatial: Jura (JU)

fr: Réserves naturelles - Emplacement des panneaux

envi

de: Umwelt

fr: Environnement

it: Ambiente

fr: Accès aux données / fichiers de téléchargement

value: JU-Kt - Geocat Harvester


itineraires-cyclables

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

en: road-axis transportation

de: strassenachse transport

fr: axe-routier transport

it: strada-statale trasporto

fr: Service du développement territorial

de: Itinéraires cyclables

fr: Itinéraires cyclables

it: Itinéraires cyclables

en: Itinéraires cyclables

title_for_slug: itineraires-cyclables

de: Zugriff auf Daten / Dateien zum Herunterladen

it: Accesso ai dati / file da scaricare

en: Access to data / downloadable files


etat-des-remaniements-parcellaires

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

en: agricultural-zone agriculture

de: landwirtschaftszone landwirtschaft

fr: zone-agricole agriculture

it: zona-agricola agricoltura

fr: Service de l'économie rurale

fr: geocat.ch permalien

de: Etat des remaniements parcellaires

fr: Etat des remaniements parcellaires

it: Etat des remaniements parcellaires

en: Etat des remaniements parcellaires

title_for_slug: etat-des-remaniements-parcellaires

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari


unites-de-gestion-de-chasse

fr: Décrit les unités de gestion cynégétiques qui sont notamment utilisées par les chasseurs pour indiquer les lieux de tir du gibier. Les unités de gestion cynégétiques sont également employées dans la réglementation sur l'exercice de la chasse, par exemple pour délimiter d'éventuelles réserves de chasse. Les unités de gestion cynégétiques sont également les éléments de base permettant de délimiter les régions de surveillance des gardes ainsi que les secteurs de surveillance des gardes auxiliaires de la chasse. Un projet de redéfinition de ces zones est en cours.

it: geocat.ch link permanente

fr: Unités de gestion de chasse

title_for_slug: unites-de-gestion-de-chasse

envi

en: Environment


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

fr: prairie-forestiere foret

en: geocat.ch permalink

de: Forêts protectrices

fr: Forêts protectrices

it: Forêts protectrices

en: Forêts protectrices


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

en: waters water-geographic

de: gewasser gewasser

fr: eaux eaux-geographie

it: acque acque-geografia

canton-du-jura

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

fr: Canton du Jura

fr: Association Jurassienne des Communes

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


institutions-de-soins-et-de-sante

de: Les instituions de soins et de santé regroupent : - appartements protégés pour personnes âgées - Centre médico-psychologique - unité psychiatrique - Centre Rencontre pour traumatisés cranio-cérébraux - Etablissement médico-social (EMS) - Home médicalisé - Hôpital - maison de naissances

en: sectors health

de: branchen gesundheit

fr: secteurs sante

it: settori salute

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

de: Institutions de soins et de santé

fr: Institutions de soins et de santé

it: Institutions de soins et de santé

en: Institutions de soins et de santé

title_for_slug: institutions-de-soins-et-de-sante

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

fr: Accès aux données / fichiers de téléchargement


carte-des-dangers

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

en: hazard-map hazard

de: gefahrenkarte gefahren

fr: carte-des-dangers danger

it: mappa-dei-pericoli pericoli

canton-du-jura

de: Kanton Jura

fr: Office de l'environnement

de: geocat.ch Permalink

de: Carte des dangers

fr: Carte des dangers

it: Carte des dangers

en: Carte des dangers

title_for_slug: carte-des-dangers

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

de: WMS/WFS/WMTS Dienst, Layer gefahrenkarten_v1_3_0

fr: Service WMS/WFS/WMTS, couche gefahrenkarten_v1_3_0

it: Servizio WMS/WFS/WMTS, strato gefahrenkarten_v1_3_0

en: WMS/WFS/WMTS service, layer gefahrenkarten_v1_3_0

fr: donnees