data-analysis-toolkits

title_for_slug: data-analysis-toolkits

en: error-propagation hypothesis-testing data-analysis bayesian-inference uncertainty statistics

en: Toolkit 8: Hodges-Lehmann estimators

en: A quick introduction to Hodges-Lehmann estimators (nonparametric measures of effect size)

en: toolkit 6: averaging in nonlinear functions

en: The average of a nonlinear function will not equal the function evaluated at its average inputs (the mean of the function will differ from from the function of the mean). This toolkit shows how to estimate that averaging bias.

en: Toolkit 3: tools for transforming data

en: The ladder of powers and a few other cool transformations

en: Toolkit 2: quantifying data distributions using descriptive statistics

en: Toolkit 11: serial correlation

en: Tools for detecting and correcting for serial correlation in analyses of time series

en: Toolkit 10: linear regression

en: An overview of the math, logic, and pitfalls of ordinary least-squares linear regression

en: Toolkit 12: weighted averages and their uncertainties

en: There are two different ways to calculate the uncertainty of a weighted average. Software packages often don't tell you which one they are reporting, and the resulting errors can be huge.

en: Toolkit 4: confidence intervals

en: Toolkit 9: Experimentwise error rates and statistical fishing expeditions

en: Statistical fishing expeditions, and how to avoid being misled by them

en: Toolkit 1: graphically displaying data distributions

en: Toolkit 7: hypothesis testing, significance, and power

en: An overview of basic concepts -- and common pitfalls -- in statistical hypothesis testing, statistical significance, and power analysis

en: Toolkit 5: uncertainty analysis and error propagation

en: Gaussian error propagation, monte carlo methods, and first-order, second-moment error propagation

en:
These are condensed notes covering selected key points in data analysis and statistics. They were developed by James Kirchner for the course "Analysis of Environmental Data" at Berkeley in the 1990's and 2000's. They are not intended to be comprehensive, and thus are not a substitute for a good textbook or a good education!

License: These notes are released by James Kirchner under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

bayesian-inference

display_name: bayesian-inference

data-analysis

display_name: data-analysis

error-propagation

display_name: error-propagation

hypothesis-testing

display_name: hypothesis-testing

statistics

display_name: statistics

uncertainty

display_name: uncertainty

en: Data analysis toolkits


en: event-analysis mountains europe observations forest-fire driver

state: active

type: dataset

media_type: application/zip

en:
01_fire_events_and_drivers: contains the fire event metrics files and in the grid subdirectory drivers and burned area information
02_utest_results: contains the results for different u-test experiments, i. e. fire vs. no-fire for (a) entire region (*both*-files), (b) fire vs. no-fire for mountain regions (*1*-files), (c) fire vs. no-fire for no-mountain regions (*0*-files) and (d) mountain vs. non-mountain on fire days (*mr_nonmr_new*-files)
03_random_forest_results: contains for each region (first two letters) and season (second three letters), the variable importance and accuracy metrics.
04_timelags_datasets: contains seasonal averages for the timelags of fire drivers on fire days and on non-fire days.
figures: contains figures of the publication, which can be derived from the code available in the git-repository https://gitlab.com/jumi26/wildfire-drivers-in-europe.git
mountain_regions_mask: contains file to reproduce mountain regions

format: ZIP

en:
This dataset contains the fire events, drivers and auxillery datasets analyzed in the study "Compounding preconditions of wildfires vary in time and space within Europe" of Miller et al. (2025) (DOI: 10.1038/s43247-025-02955-1).
A Jupyter-Notebook explaining the fire event datasets and code to reproduce the figures of Miller et al. (2025) are available on gitlab (see https://gitlab.com/jumi26/wildfire-drivers-in-europe).

driver

display_name: driver

europe

display_name: europe

event-analysis

display_name: event-analysis

forest-fire

display_name: forest-fire

mountains

display_name: mountains

observations

display_name: observations

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Wildfire events and drivers across Europe


en: dendrotelms invertebrates fagus-sylvatica stepping-stones steigerwald diversity metacommunity insects body-size european-beech old-growth-islands forest trems water-filled-tree-holes germany

en: Dataset on sampled invertebrate communities

format: XLS

en: Dataset with environmental data

en: Dataset on body-length measures of all sampled individuals

en: This dataset comprises environmental and insect larval data from 24 artificial dendrotelms (water-filled tree holes) created in beech trees (Fagus sylvatica) in six old-growth forest patches connecting two forest nature reserves in the Steigerwald in Germany.

body-size

display_name: body-size

dendrotelms

display_name: dendrotelms

diversity

display_name: diversity

european-beech

display_name: european-beech

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

germany

display_name: germany

insects

display_name: insects

invertebrates

display_name: invertebrates

metacommunity

display_name: metacommunity

old-growth-islands

display_name: old-growth-islands

steigerwald

display_name: steigerwald

stepping-stones

display_name: stepping-stones

trems

display_name: trems

water-filled-tree-holes

display_name: water-filled-tree-holes


disdrometer-data-laret

maintainer: Daniel Wolfensberger

title_for_slug: disdrometer-data-laret

en: precipitation visibility raclets disdrometer hydrometeors

en: Disdrometer Data Laret

en: The zip folder contains one netCDF file per day for Laret from February 7 to March 29 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Laret_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

mimetype: application/zip

en:
A laser optical disdrometer (Parsivel² , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


maintainer: EnviDat Support

en: wingtra photogrammetry drone-data dsm uav

en: Data Access

en:
- DSM 10cm resolution
- Orthomosaic 3cm resolution
- Agisoft Metashape Processing Report
- original RGB images

All generated products are also available as a cloud optimized geotiff.

format: SERVICE

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

drone-data

display_name: drone-data

dsm

display_name: dsm

photogrammetry

display_name: photogrammetry

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Wolfgang Arelen


vegetation-height-model-lidar-nfi

title_for_slug: vegetation-height-model-lidar-nfi

en: forest three-dimensional vegetation-classification vegetation point-cloud nfi vegetation-height

en: 2024 Vegetation Height Model LiDAR NFI (current)

en:
Vegetation Height Model of Switzerland for the year 2024 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

en:
Countrywide **vegetation height models (VHM)** were generated for Switzerland based on
LiDAR data acquired in the framework of the **swissSURFACE3D** campaign (swisstopo).
To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground.
These VHM's are produced in the framework of the Swiss National forest Inventory (NFI).
Each year about 1/6 of switzerland surface is updated using swissSURFACE3D data in leaf-off state.

forest

display_name: forest

nfi

display_name: nfi

point-cloud

display_name: point-cloud

three-dimensional

display_name: three-dimensional

vegetation

display_name: vegetation

vegetation-classification

display_name: vegetation-classification

vegetation-height

display_name: vegetation-height

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Vegetation Height Model LiDAR NFI


en: forest long-term-forest-ecosystem-research monitoring long-term-monitoring air-pollution

en: Link to Proceedings in DORA WSL

media_type: application/pdf

format: PDF

en: FORECOMON – Proceedings

en: Latest version

en: Deprecated version 1.0

en: First version of the proceedings containing errors. This early version it is kept, for traceability purposes, in conformance with DOI rules.

en:
Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings.
FORECOMON 2021 - the 9th forest ecosystem monitoring conference.
7-9 June 2021, WSL, Birmensdorf, Switzerland

The goal of FORECOMON 2021 is to highlight the extensive ICP Forests data series on forest growth, phenology and leaf area index, biodiversity and ground vegetation, foliage and litter fall, ambient air quality, deposition, meteorology, soil and crown condition. We combine novel modeling and assessment approaches and integrate long-term trends to assess air pollution and climate effects on European forests and related ecosystem services. Latest results and conclusions from local scale to European scale studies will be presented and discussed.

Copyright © 2021 by WSL, Birmensdorf
The authors are responsible for the content of their contribution.

air-pollution

display_name: air-pollution

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

long-term-monitoring

display_name: long-term-monitoring

monitoring

display_name: monitoring

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: Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings. FORECOMON 2021 - the 9th forest ecosystem monitoring conference. 7–9 June 2021, Birmensdorf, Switzerland


en: saltation-parameterizations splash large-eddy-simulation snow-saltation aerodynamic-entrainment drifting-snow

en: Code and input files to reproduce the simulations in Melo et al. (2024), as well as the post-processing scripts used in the analysis.

en:
This dataset includes the necessary files to reproduce the results presented in Melo et al. (2024):
- code version used in the simulations (also available at the institutional [GitLab repository](https://gitlabext.wsl.ch/atmospheric-models/les-lsm) - tag 'r2024')
- input files to run the simulations
- post-processing scripts (MATLAB and FORTRAN)
- selected raw output files
- post-processed results (MATLAB data files).
 	**Note:** Direct model outputs are not provided because of their size, but they can be shared upon request. They can be reproduced by running the code. The post-processed results allow you to reproduce all figures in Melo et al. (2024).

aerodynamic-entrainment

display_name: aerodynamic-entrainment

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

saltation-parameterizations

display_name: saltation-parameterizations

snow-saltation

display_name: snow-saltation

splash

display_name: splash

en: Understanding snow saltation parameterizations - Reproducibility


maintainer: Varun Sharma

en: alps mesoscale-modelling antarctica snow-atmosphere-interaction blowing-snow

en: REPRODUCIBILITY_SIMULATION.zip contains all the extraneous files required to perform the simulations in associated manuscript (see Citations 3 in README.txt). The purpose of sharing these files apart from purposes of reproducibility is to also serve as templates for users to learn the workflow of CRYOWRF and perform simulations for their own purposes.

en:
REPRODUCIBILITY_POSTPROCESSING.zip contains data and scripts used to produce all figures from for the associated manuscript submitted for peer review ( see section on Citations below )

The folders stand for the three case studies presented in the manuscript. Two case studies (case Ia and case Ib) are on simulations in Antarctica and one case study
case II is for simulations in the Alps.

The associated data in the form of netcdf files or text files were produced using CRYOWRF v1.0

Apart from reproducibility, the intention of sharing these scripts is also to make it easy for new users to adopt CRYOWRF and be efficient, in particular in processing snowpack outputs.

The scripts were tested on multiple machines (different OSes) with the attached YAML file (wrf_analysis.yml) to setup the conda environment. All scripts were run using spyder as the IDE.

en:
This repository contains data required for reproducibility of the results to be published in the associated manuscript.

Apart from reproducibility, the attached datasets also serve as templates for new users to adopt CRYOWRF in their research.

The datasets consist of two folders organized in zip format:

1. REPRODUCIBILITY_SIMULATION:
  Consists of namelists for WPS, WRF and SNOWPACK to reproduce simulations published in the manuscript
  Additional files include datasets (from IMAU-FDM / RACMO, see "credits" below ) as well as helper python scripts to
  produce *.sno files
  which are used as initial conditions for SNOWPACK in CRYOWRF.

2. REPRODUCIBILITY_POSTPROCESSING:
   Includes outputs of CRYOWRF and python scripts used to prepare figures in the manuscript.

Each of the folders have their own readme files for more details.

 Code
citation: Varun Sharma. (2021, July 2). vsharma-next/CRYOWRF: CRYOWRF v1.0 (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.5060165

location: https://gitlabext.wsl.ch/atmospheric-models/CRYOWRF   (stable releases / institutional repo)
        https://github.com/vsharma-next/CRYOWRF            (dev branches / developer repo)

 Publication
**Introducing CRYOWRF v1.0: Multiscale atmospheric flow simulations with advanced snow cover modelling.**
Varun Sharma, Fraziska Gerber and Michael Lehning, Submitted to Geoscientific Model Development

 Acknowledgements
We thank Peter Kuipers Munneke (P.KuipersMunneke@uu.nl) for preparing and sharing outputs of IMAU-FDM and RACMO used for initial conditions for case Ia. The relevant citations for the methods through which these datasets were generated are:

* Kuipers Munneke, P., S. R. M. Ligtenberg, B. P. Y. Noël, I. M. Howat, J. E. Box, E. Mosley-Thompson, J. R. McConnell, K. Steffen, J. T. Harper, S. B. Das and M. R. van den Broeke. 2015. Elevation change of the Greenland ice sheet due to surface mass balance and firn processes, 1960-2014. The Cryosphere, 9, 2009-2025. doi:10.5194/tc-9-2009-2015

 * Ligtenberg, S. R. M., P. Kuipers Munneke, B. P. Y. Noël, and M. R. van den Broeke. 2018. Brief communication: Improved simulation of the present-day Greenland firn layer (1960-2016). The Cryosphere, 12, doi:10.5194/tc-12-1643-2018

alps

display_name: alps

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

mesoscale-modelling

display_name: mesoscale-modelling

snow-atmosphere-interaction

display_name: snow-atmosphere-interaction

en: Reproducibility Dataset for CRYOWRF v1.0


maintainer: Yael Frischholz

en: winter-electricity photovoltaic alps snow bifaciality

en:
Title: Monitoring data set at A2 (utility-scale power-plant Muttsee), months 10.2022-09.2023
Provider: AXPO - IWB Industrielle Werke Basel
Last edition: 17.01.2024
Editor: Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL
File name structure:
The power-plant is made of 23 string boxes (GAK) and inverters (WR) named after their given number. One file per device is provided in the data/ subfolder, following the same naming convention (e.g. for the string box number 1, the file name is: “A2_GAK01.csv” and for the corresponding inverter, the file name is “A2_WR01.csv”). Refer to the publication for further details on the setup of the power plant.
File format:
All files are provided in the CSV format.
Column headings:
	String boxes and inverters (GAK & WR):
	⁃	device_name (string): name of the device (same as file name)
	⁃	timestamp (datetime64): time stamp in format “YYYY-MM-DD HH:mm:ss”, time-zone: UTC
	String boxes (GAK):
	⁃	I_ (double): input current from the substring number (W)
	⁃	I_SUM (double): output current of string box (A)
	⁃	U_DC (double): output voltage of string box (V)
	⁃	P_DC_ (double): input DC power from the substring number (W)
	⁃	P_DC (double): output DC power of string box (W)
	⁃	$S$_T#_$T$ (double): temperature from the sensor connected to the string box (empty if not existing), placed on the “front” or “back” side (S) of table T. Two types of temperature measurements (#) are available: 1=standard cell temperature (°C) , 2=module temperature on the rear side (°C) .
	⁃	$S$_SRAD_T (double): poa irradiation (W/m**2) from the sensor connected to the string box (empty if not existing), placed on the “front” or “back” side (S) of table T.
		Inverters (WR):
	⁃	I_DC (double): input DC current(A)
	⁃	U_DC(double): input DC voltage(V)
	⁃	P_DC (double): input DC power (W)
	⁃	P_AC (double): output AC power (W)
Preprocessing:
	1. Outliers:
	⁃	Quantiles Q1 and Q99 are computed for each variable
	⁃	Values below Q1 and above Q99 are considered outliers
	⁃	Outliers are replaced by NaNs.

	2. Missing data:
	⁃	Data holes of less or equal to 3 hours are interpolated linearly for all variables
	⁃	Data holes of more than 3 hours are replaced using the monthly nan-mean of the considered hour if more than 50% of the qualifying data points are available. For instance, if the data point 2022-12-12 12:12:00, is missing for a given variable and is part of a data hole larger than 3 hours, then it is replaced by the mean of all data points with hour = 12 of the month of December 2022, if 50% of all the qualifying data points are not NaN. In case more than 50% of the qualifying points are missing, the data point remains as missing (NaN).
	3. Wiring losses:
	⁃	To be consistent with A1, wiring losses are corrected at A2. The wiring loss between the string boxes and the inverters is removed by multiplying the value of input P_DC at the inverter level (P_DC,inv) by the mean ratio P_DC,inv / P_DC,arr.
	⁃	The computed mean wiring loss is 2.3\%. It is computed from 2023-02-01 to 2023-09-30, after the long data hole in the data sets of the string boxes.

Mean uptime:
	Raw:
	⁃	WR: 98.2%
	⁃	GAK*: 38.5%
	Processed:
	⁃	WR: 99.6%
	⁃	GAK*: 56.4%

	*The uptime at the string box level (GAK) is low because PMUs at this level shut down during steady and low signal leading to unavailable data at night. In addition, the 23 days downtime of 	January 2023 could not be interpolated nor replaced.

en:
Title: Monitoring data set at A1 (test-site of Totalp), years 2018-2022
Provider: ZHAW - EKZ
Edition: Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL
Last edition: 17.01.2024
File name structure:
The test site contains 6 segments named from A to F. The six files provided in the data/ subfolder follow the same naming convention (e.g. for segment A, the file name is: “A1_A.csv”). Refer to the publication for further details on the setups of the segments.
File format:
All files are provided in the CSV format.
Column headings:
	•	timestamp (datetime64): time stamp in format “YYYY-MM-DD HH:mm:ss”, time-zone: UTC
	•	poa_front (double): front plane-of-array irradiation (W/m**2)
	•	poa_back (double): rear plane-of-array irradiation (W/m**2)
	•	mod_temp (double): module’s temperature (°C)
	•	P_AC (double): output AC power (W)
Preprocessing:
	Outliers:
	⁃	Quantiles Q1 and Q99 are computed for each variable
	⁃	Values below Q1 and above Q99 are considered outliers
	⁃	Outliers are replaced by NaNs.
	Missing data:
	⁃	Data holes of less than 3 hours are interpolated linearly for all variables
	⁃	Data holes of more than 3 hours are replaced using the monthly nan-mean of the considered hour if more than 50% of the qualifying data points are available. For instance, if the data point 2022-12-12 12:12:00, is missing for a given variable and is part of a data hole larger than 3 hours, then it is replaced by the mean of all data points with hour = 12 of the month of December 2022, if 50% of all the qualifying data points are not NaN. In case more than 50% of the qualifying points are missing, the data point remains as missing (NaN).
	Wiring losses :
	⁃	As described in [1] , the test-site setup caused abnormally large wiring losses, mainly due to the distance to optimisers and to the low installed power per DC-wire.
	⁃	The wiring losses comprised between 10% and 15%, are averaged hourly and added to the measured DC power.

	Misc.:
	⁃	P_AC is computed for each segment based on the measured DC power and the average inverter’s efficiency (96.1%).
	⁃	As described in [1], the peak power of the installed module, used to compute the final yield is slightly different from the values announced by the manufacturer.
Mean uptime:
	Raw:
	⁃	95.2%
	Processed:
	⁃	100%
References:
[1] 	D. Anderegg, S. Strebel, and J. Rohrer, “Alpine Photovoltaik Versuchsanlage Davos Totalp : Erkenntnisse aus 5 Jahren Betrieb,” de, Sep. 	2023, Accepted: 2023-09-29T09:13:16Z Publisher: ZHAW Zürcher Hochschule für Angewandte Wissenschaften.DOI: 10.21256/	zhaw-2524. [Online]. Available: https://digitalcollection.zhaw.ch/handle/11475/28797 (visited on 12/15/2023).

en:
On this repository you can find the monitoring data of the 3 PV power-plants analysed in the article _"Confirmation of the power gain for solar photovoltaic systems in alpine areas"_ (doi: 10.3389/fenrg.2024.1372680) . Each folder contains the following two elements:
1. **README.txt** : describes the content of the folder. Especially it describes the plant's monitoring system's architecture and relates it to the various files included in the data sub-folder. It also provides a detailed description of all processing steps leading to the data sets as available in the data sub-folder and used in the pre-cited article.
3. **data/** : sub-folder containing the file(s) used in the referenced article.

bifaciality

display_name: bifaciality

photovoltaic

display_name: photovoltaic

snow

display_name: snow

winter-electricity

display_name: winter-electricity

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Monitoring data sets of alpine photovoltaic power-plants


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

media_type: text/csv

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

format: CSV

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

lab-experiment

display_name: lab-experiment

snow-avalanche

display_name: snow-avalanche

snow-mechanics

display_name: snow-mechanics

snow-microstructure

display_name: snow-microstructure

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.


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

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

en: data set on snow instability

mimetype: text/csv

en: Read-me file on snow instability data

mimetype: application/pdf

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.

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-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

en: Data set on snow instability


en: climate air-temperature wind-speed humidity precipitation air-pressure solar-radiation

en: CHELSAch-highres-climatologies: Daily Maximum Near-Surface Air Temperature

en:
Climatologies of Daily Maximum Near-Surface Air Temperature
Files are provided in NetCDF format with standardized metadata.
Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSAch-highres-climatologies: Daily Minimum Near-Surface Air Temperature

en:
Climatologies of Daily Minimum Near-Surface Air Temperature
Files are provided in NetCDF format with standardized metadata.
Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en:
Climatologies of Precipitation
Files are provided in NetCDF format with standardized metadata.
Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSAch-highres-climatologies: Daily Mean Near-Surface Air Temperature

en:
Climatologies of Daily Mean Near-Surface Air Temperature
Files are provided in NetCDF format with standardized metadata.
Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en:
CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes commonly used climate variables for impact modeling, such as air temperature, precipitation, humidity, solar radiation, wind speed, and derived variables.

CHELSAch-highres-climatologies is a high resolution climate dataset generated with the CHELSA downscaling model. It consists of long term - 30 year mean aggregated surface variables.

Climatological summaries are provided for: Near-Surface Wind Speed, Daily Mean Near-Surface Air Temperature, Daily Maximum Near-Surface Air Temperature, Daily Minimum Near-Surface Air Temperature. Air Temperature Lapse Rate, Total Cloud Cover Percentage, Precipitation, Surface Downwelling Shortwave Flux in Air

Files are provided in NetCDF format with standardized metadata.

air-pressure

display_name: air-pressure

air-temperature

display_name: air-temperature

climate

display_name: climate

humidity

display_name: humidity

precipitation

display_name: precipitation

solar-radiation

display_name: solar-radiation

wind-speed

display_name: wind-speed

en: CHELSAch-highres-climatologies at high resolution


figures-perspective-urban-beekeeping

maintainer: Joan Casanelles

title_for_slug: figures-perspective-urban-beekeeping

en: wildbees urban-beekeeping hymenoptera insects urban-ecology diversity-distributions

en: Results literature review

en:
 The file shows the results from the literature review. Briefly, we searched papers using google scholar search engine using the following query: (“WILD BEE OR WILDBEE”)(“URBAN” OR “CITY”), and limited the time span from 2010-2023. The search query returned 200 candidate papers. In addition, we complemented the candidate papers from the literature research performed by Ferrari & Polidori (2022), adding 22 additional candidate papers. To select papers, we checked that (1) were conducted in urban areas; (2) sampled the whole bee community; (3) provided data on abundance of wildbees; (4) provided data on honeybees; and (5) provided individual abundance data of each wild bee species.
The dataset contains the following:
-Article_ID: ID for the specific article in the form "A1", "A2"..."An"
- Title: of the article
- Year: of publication
- Journal: of publication
- Publisher:
- Link: link to the publication
- DOI: when applicable
- Total abundance wild bees reported: was the total number of collected bees reported? Logical (Y/N)
- Honey bee abundance reported: was thenumber of honeybees collected reported? 	Logical (Y/N)
- Abundance per wild bee species: was the number of wildbee species sampled provided? Logical (Y/N)
- Select proportion: paper selected to calculate the proportion of honeybees and wildbees.
- Select RAD: paper selected to compute the rank-abundance distribution diagram
Comment: comments on the papers, data availability, etc.

en: R script for the figures V1

en: Deprecated version of the R script

format: OCTET

en: Distribution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich) and Paris.

en: Data rank-abundance distribution urban bees

en: Outdated, use the new resource

en: NDVI values within 3 buffers  in hives in Zurich

en:
The dataset contains the average NDVI values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 3 columns_
- buffer: indicating the spatial scale
- ID: hive ID (annonymised)
- mean.NDVI: mean NDVI value

en: Data growth urban beekeeping

en:
The dataset contains the data of the growth of urban beekeeping in different cities.
For each city in a given year, it contains the following:
Continent.
Country.
City: the name of the city
Year: the year when the information was collected
Area: of the city
Total N. beekeepers: when available, the estimated number of beekeepers in that city for that given year
Total N. hives: when available, the estimated number of beehives in that city for that given year
Density: the total number of hives divided by the city area
Reference: the source of the information.

en: Proportion honeybees and wildbees

en: Outdated, use the new resource "Propotion urban honeybees and wildbees"

en: DEPRECATED. Data growth urban beekeeping

en: Species-abundance data

en:
Abundance data at the species level per used dataset for the rank abundance distribution (RAD).
40 datasets used.

en: Coordinates studied cities

en: Coordinates (LatLon format) of the cities where data from urban bee ecology studies was used.

en: Proportion urban honeybees and wildbees

en:
The dataset contains the proportion of wildbees and honeybees in the different studies obtained from the literature review.
Article_ID: ID for each article
DOI
Authors
Year: publication year
Duration sampling (years): numerical
Start_sampling: numerical, date
End_sampling: numerical, date
Continent
Country
N. cities: number of cities sampled in the article. Numerical.
City
Sampling type: categorical. Levels: active (e.g., Hand-netting); passive (e.g., pantraps. trap-nests); both (combination of passive and active methods).
Sampling methodology: categorical. Levels: direct observations, hand-netting, pantraps, interception traps, vane traps.
Number sites: total number of study sites.
Abundance honeybees: number of honeybees recorded
Abundance wild bees: number of wildbees recorded
Total bees: total number of bees recorded.
Proportion honeybees: Abundance of honeybees / Total number of bees
Proportion wildbees: Abundance of wildbees / Total number of bees

en: DEPRECATED. Distirbution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich).

en: R script for the figures V2

en: R script for the figures

en: Local overheating values within 3 buffers in hives in Zurich

en:
The dataset contains the average overheating values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 4 columns:
- buffer: indicating the spatial scale
-ID: hive ID (annonymised)
- mean.overwarming: mean overheating value, expressed in degrees Kelvin
-mena.overwarming.cor = transformed values do degrees Celsius

en:
Data and code from the perspective paper "When honeybees comes to town"
The .r file provides the code to generate the figures.
In addition, this repository contains the data for the figures 1-3.
For Figure 4, part of the data is confidential, Please, refer to the contacts provided:
- For the distribution of hives in Zurich (2018): https://www.zh.ch/de/gesundheitsdirektion/veterinaeramt.html
- For the overheating map of Zurich: Prof. Dr. Eberhard Parlow / Stadt Zurich (https://www.zh.ch/de/umwelt-tiere/umweltschutz/umweltpraxis/definitionsseite/2012/68/zup068_2012_a0030_klimaanalyse-pdf.html)

diversity-distributions

display_name: diversity-distributions

hymenoptera

display_name: hymenoptera

insects

display_name: insects

urban-beekeeping

display_name: urban-beekeeping

urban-ecology

display_name: urban-ecology

wildbees

display_name: wildbees

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal


en: solar-irradiance forecast-models renewable-energy hydropower electricity-grid meteorological-data reservoir-inflow

en: ERA5 Land, Seasonal forecast and short-term forecast meteorological data to train inflow and residual demand forecast models.

media_type: text/plain

en: Data structure and description.

format: TXT

en: Plants and reservoirs description, with associated hourly inflows (2009 - 2019).

en: Description of Swissgrid high-voltage (>150kV) grid, including lines, transformers and nodes (snapshot of the grid in 2019) .

en: Solar irradiance maps projected onto tilted surfaces: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as [Frischholz, Y. (2025)](https://www.doi.org/10.16904/envidat.632))

en:
This dataset contains several useful components for **Swiss Electricity system modeling**:
1. **High-voltage Swiss grid**: 2019 snapshot of the high-voltage (>150kV) grid composed of :
- Nodes: names, voltage, position.
- Lines: ends nodes, resistance, power capacity.
- Transformers: ends nodes, power capacity, resistance, tap ratio.

2. **Hydropower topology** : Representative description of Swiss reservoirs and plants (2019) composed of:
- Plants: Lower reservoir, Upper reservoir, pump/turbine, debit, power capacity.
- Reservoirs: Volume, altitude, position, canton.

3. **Inflows** into all the reservoirs: hourly time series post-processed from PREVAH model outputs from 2009 to 2019.

4. **Wind production per node**: COSMO-1 data processed and scaled to match SFOE annual production.

5. **Solar irradiance maps projected onto tilted surfaces**: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as [Frischholz, Y. (2025)](https://www.doi.org/10.16904/envidat.632))

6. **Processed ERA5 (historical), ECMWF SEAS5 (seasonal forecast) and ECMWF TIGGE (short-term forecast)**:
- ERA5 Land: For inflow forecast model: historical runoff, snow depth, temperature and total precipitation per catchment (hourly, 2009-2019). For residual demand forecast model: historical temperature, u-v wind, ssrd per country (CH, AT, DE, FR, IT, hourly 2015-2019)
- ECMWF SEAS5: For inflow forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019). For residual demand forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019).
- ECMWF TIGGE: For inflow forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019). For residual demand forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019).

\
More details can be found on *README.txt*.

electricity-grid

display_name: electricity-grid

forecast-models

display_name: forecast-models

hydropower

display_name: hydropower

meteorological-data

display_name: meteorological-data

renewable-energy

display_name: renewable-energy

reservoir-inflow

display_name: reservoir-inflow

solar-irradiance

display_name: solar-irradiance

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: Swiss electricity system modeling -- HV grid - hydropower topology and inflows - renewable productions - past and forecast meteorological data


en: survey energy-transition renewable-energy discrete-choice landscape-perception

en: Energyscape1 & Energyscape2 basis data

en: This is the already cleaned and ready to use basis dataset for the comparison of stated choice preferences across the 2018 (Energyscape 1, n=844) and the 2022 (Energyscape 2, n=1006) surveys. The first four numbers in the first column "sys_RespNum" of the dataset refer to the year of the surveys, followed by the original Respondent ID. The date can be uploaded as is to analysis software (like Sawtooth) and can be filtered by survey with the help of the very last column "surveytime".

en: Energyscape2 Covariates

en: This data includes the recoded covariates used in the publication (Cov_1, Cov_2, Cov_3). They can be merged with the column "sys_RespNum" to the basis dataset of the Energyscape 2 survey.

en: Energyscape2 basis data with original Respondent ID

en: This is solely the Energyscape 2 basis data including the original respondents ID "sys_RespNum" to be merged with the covariated data set.

en: This repository presents the basis data of both the Energyscape 1 (2018) and the Energyscape 2 (2022) survey about renewable energy infrastructure related landscape preferences in Switzerland. Both datasets are based on Swiss-national representatative online panel surveys (BILENDI). Information about the choice design and landscape visualizations can be derived from https://www.sciencedirect.com/science/article/pii/S2352340921003097#fig0001

discrete-choice

display_name: discrete-choice

energy-transition

display_name: energy-transition

landscape-perception

display_name: landscape-perception

survey

display_name: survey

en: Energyscape 2 - Comparing stated preferences of renewable energy landscapes in Switzerland in 2018 and 2022


data-interactive-avalanche-segmentation

maintainer: Elisabeth D. Hafner

title_for_slug: data-interactive-avalanche-segmentation

en: segmentation snow deep-learning interactive avalanche

en:
Images and corresponding avalanche annotations used for interactive avalanche segmentation:
SLF train, vali and test
WebNew
GroundPic
UserPic
UIBK dataset: List of images used
Pictures are from SLF (mostly from the Dischma Cams) if not otherwise indicated. If used, the data needs to be properly cited!

avalanche

display_name: avalanche

deep-learning

display_name: deep-learning

interactive

display_name: interactive

segmentation

display_name: segmentation

snow

display_name: snow

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Data interactive avalanche segmentation


biogas-aus-hofdunger-in-der-schweiz

title_for_slug: biogas-aus-hofdunger-in-der-schweiz

en: review manure bioenergy switzerland biogas

en: Biogas aus Hofdünger in der Schweiz

en: Ziel dieses Whitepapers ist es, Entscheidungsträgern, Verwaltungen und Stakeholdern die aktuellsten Forschungsergebnisse zur Verfügung zu stellen, um die optimale Nutzung von Bioenergie aus Hofdünger in der Schweizer Energiewende zu fördern. Zu diesem Zweck werden die Ergebnisse des Schweizer Kompetenzzentrums für Bioenergieforschung - SCCER BIOSWEET - zusammengefasst und in einem breiteren Kontext dargestellt. Wenn nichts anderes erwähnt wird, beziehen sich die Ergebnisse auf die Schweiz und im Falle der Ressourcen auf die heimischen Biomassepotenziale.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


maintainer: Axel Volkwein

en: field-data impact-testing natural-hazard rockfall-experiments field-test experiments rockfall field-tests mass-movements experiment

en: Acceleration measurements

en: The zip file contains five excel files, one for each test conducted. The first sheet contains the raw data and a data set that went through a low-pass filter. The sheet "Allgemein" contains calibration factors for the sensors and time details of a test. The sheets "DiaDaten" and "DiaDatenGefiltert" show the measurements over time. The block and slab kinetics are determined in the sheets "ZeitintegrationBlock" and "ZeitintegrationPlatte". The sheet "VergleichBeschleunigungen" shows the influence of the low-pass-filter and a running average filter on the block accelerations.

en: Video analysis

en: The zip contains five Excel-files that in turn contain the results of the performed video analyses. The sheet "Daten" contains the pixels of different positions on the blocks that were tracked by the software "Kinovea". The sheet "Auswertung" determines the block kinetics based on the pixel data over time.

en: Raw data (high speed videos, acceleration measurements, laboratory tests)

en:
This file contains

* the high speed videos showing the concrete blocks impacting the gallery roof.
* the raw data of the acceleration measurements
* the data of Tiefbauamt Graubünden containg the tension tests of gallery reinforcment, ME-testing the cushion layer and the tests on concrete samples.

en: Five full-scale field tests were conducted with concrete blocks weighting between 800 and 3200 kg being dropped onto the roof of a gallery structure made from reinforced concrete. The impacts were recorded using high-speed video and acceleration measurements at the falling blocks. The dataset contains the raw data as well as the analyses of the block trajectories, i.e. kinetics and dynamics. Setup of the measurements and the analyses conducted are published in Volkwein, A. "Durchführung und Auswertung von Steinschlagversuchen auf eine Stahlbetongalerie", WSL-Berichte, Heft 68, 2018.

experiment

display_name: experiment

experiments

display_name: experiments

field-data

display_name: field-data

field-test

display_name: field-test

field-tests

display_name: field-tests

impact-testing

display_name: impact-testing

mass-movements

display_name: mass-movements

natural-hazard

display_name: natural-hazard

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

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: Rockfall gallery testing Parde 2016


climarctic-seasons

title_for_slug: climarctic-seasons

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

en: Climarctic seasons dataset Envidat.xlsx

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

en: 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.

arctic

display_name: arctic

greenhouse-gases

display_name: greenhouse-gases

microbial-biodiversity

display_name: microbial-biodiversity

microbial-functions

display_name: microbial-functions

soil

display_name: soil

en: Climarctic seasons


en: shortwave-radiation snow albedo winter-energy-production photovoltaic

en: Data Forward Scattering

en: GROUNDEYE model for multiple forward scattering in snow-covered terrain. Meteorological and topographical input data set for the Meierhofertäli near Davos, Switzerland, September 2017 - August 2018. Output data for September 2017 - August 2018 at hourly resolution and every pixel. Post-processing scripts for plotting and analysis.

en:
 Overview
We present GROUNDEYE, a new model of radiative transfer over mountainous terrain, which considers for the first time the forward scattering properties of snow.
Embedded in the surface process model Alpine3D, the new terrain radiation model GROUNDEYE receives interpolated real weather data with diffuse and direct broadband shortwave radiation for each pixel as well as a spatially variable plane albedo from the module SNOWPACK.

 Format
The GROUNDEYE model is written in c++, as is the entire environment of Alpine3d. The input and output data sets are .xlsx or .txt format, pre- and postprocessing including the generation of all figures is in .R format.

 Structure
In Data_Forward_Scattering.zip you will find all necessary data and model details to
reproduce the results of the JGR publication "How forward-scattering snow and terrain change the Alpine radiation balance with application to solar panels"

 - 	Model Input Data contains the meteorological and topographic input data sets, the BRDF, and preprocessing scripts.
 - Model Code contains the full model Alpine3d including the radiative transfer module GROUNDEYE.
 - Model Output Data contains the results of the simulation of terrain irradiance and irradiance of solar panels; hourly resolution, 1. Sptember 2017 - 31. August 2018.
 - Measurements Solar Testsite contains information and measurements of the solar testsite at the Totalp near Davos, Switzerland.
 - Postprocessing contains all R-Scripts used for the analysis and
plotting of the corresponding data.

In each of these folders you will find detailed information in
the file 'About this Folder.txt'.

albedo

display_name: albedo

photovoltaic

display_name: photovoltaic

shortwave-radiation

display_name: shortwave-radiation

snow

display_name: snow

winter-energy-production

display_name: winter-energy-production

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Data, Code Link and Metadata on Forward Scattering of Snow at Totalp


maintainer: Henning Löwe

en: angle-of-repose grain-shape granular-snow discrete-element-modelling fast-sintering

mimetype: text/plain

en: Angle of repose and 3D CT images

en:
5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.

This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.

The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow

en: Angle of repose experiments with natural and spherical snow


maintainer: Thorsten Bartels-Rausch

en: solution laboratory-study chemistry snow brine antarctica heterogeneous interface metamorphism alpine reaction ozone arctic

en: Matlab Script to view and plot data

en: Matlab Data

en: All data as Matlab mat file

en: Readme file

en: This file shows data, code, and plots.

en: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.

alpine

display_name: alpine

antarctica

display_name: antarctica

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

solution

display_name: solution

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: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study


aids

title_for_slug: aids

name: Bundesamt für Gesundheit, Abteilung Übertragbare Krankheiten

fr: BAG-OFSP-UFSP-FOPH Website

de: BAG-OFSP-UFSP-FOPH Website

en: BAG-OFSP-UFSP-FOPH Website

it: BAG-OFSP-UFSP-FOPH Website

fr: SIDA - système de déclaration obligatoire

de: AIDS - Obligatorisches Meldesystem

en: AIDS - mandatory reporting system

it: AIDS - sistema di dichiarazione obbligatoria

fr: Les données se fondent sur les informations que les laboratoires, les médecins et les hôpitaux ont transmises à l’OFSP dans le cadre de la déclaration obligatoire.

de: Die Daten basieren auf Informationen, die Laboratorien, Ärztinnen und Ärzte sowie Spitäler dem BAG im Rahmen der Meldepflicht übermittelt haben.

en: The data are based on information that laboratories, doctors and hospitals have submitted to the FOPH under the mandatory reporting requirement.

it: I dati si basano su informazioni comunicate dai laboratori, dai medici e dagli ospedali all’Ufficio federale della sanità pubblica (UFSP) nel quadro della dichiarazione obbligatoria.

fr: Données concernant la propagation et l’évolution temporelle des cas de SIDA en Suisse et dans la Principauté de Liechtenstein. Vous trouverez des donnés sur les cas provenant du système de déclaration obligatoire.

en: Data on the spread and development of AIDS infections and cases in Switzerland and the Principality of Liechtenstein. You will find data on cases from the mandatory reporting system.

de: Daten zur Verbreitung und zeitlichen Entwicklung von AIDS Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu Fällen aus dem obligatorischen Meldesystem.

it: Dati della diffusione e dell’evoluzione temporale dei casi di AIDS in Svizzera e nel Principato del Liechtenstein. Qui trovate dati dei casi basate sul sistema di dichiarazione obbligatoria.

aids-bag

display_name: aids-bag

aids-foph

display_name: aids-foph

aids-ufsp

display_name: aids-ufsp

sida-ofsp

display_name: sida-ofsp

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

abteilung-uebertragbare-krankheiten

fr: Division Maladies transmissibles

de: Abteilung Übertragbare Krankheiten

en: Communicable Diseases Division

it: Divisione Malattie trasmissibili

fr: Les maladies transmissibles constituent une menace pour la santé publique. La division les surveille, publie régulièrement des rapports sur la situation épidémiologique, définit des stratégies de prévention et de contrôle, et les met en œuvre.

en: Communicable diseases pose a risk to public health. The division monitors these diseases, publishing regular reports on the epidemiological situation, laying down and implementing prevention and control strategies.

de: Übertragbare Krankheiten gefährden die öffentliche Gesundheit. Die Abteilung überwacht diese Krankheiten, publiziert regelmässig Berichte zur epidemiologischen Situation, legt Präventions- und Kontrollstrategien fest und setzt sie um.

it: Le malattie trasmissibili mettono in pericolo la salute pubblica. La divisione Malattie trasmissibili le monitora, pubblica regolarmente rapporti sulla situazione epidemiologica, stabilisce strategie di prevenzione e di controllo e le attua.

political_level: confederation

value: DCAT-BAG-IDD Harvester

fr: SIDA

de: AIDS

en: AIDS

it: AIDS


fr: Campylobactériose - système de déclaration obligatoire

en: Campylobacteriosis - mandatory reporting system

de: Campylobacteriose - Obligatorisches Meldesystem

it: Campilobatteriosi - sistema di dichiarazione obbligatoria

fr: Données concernant la propagation et l’évolution temporelle des cas de campylobactériose en Suisse et dans la Principauté de Liechtenstein. Vous trouverez des donnés sur les cas provenant du système de déclaration obligatoire.

de: Daten zur Verbreitung und zeitlichen Entwicklung von Campylobacteriose Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu Fällen aus dem obligatorischen Meldesystem.

en: Data on the spread and development of campylobacteriosis infections and cases in Switzerland and the Principality of Liechtenstein. You will find data on cases from the mandatory reporting system.

it: Dati della diffusione e dell’evoluzione temporale dei casi di campilobatteriosi in Svizzera e nel Principato del Liechtenstein. Qui trovate dati dei casi basate sul sistema di dichiarazione obbligatoria.

campilobatteriosi-ufsp

display_name: campilobatteriosi-ufsp

campylobacteriose-bag

display_name: campylobacteriose-bag

campylobacteriose-ofsp

display_name: campylobacteriose-ofsp

campylobacteriosis-foph

display_name: campylobacteriosis-foph

de: Bundesamt für Gesundheit, Abteilung Übertragbare Krankheiten

fr: Campylobactériose

de: Campylobacteriose

en: Campylobacteriosis

it: Campilobatteriosi


maintainer: Bundesamt für Gesundheit, Abteilung Übertragbare Krankheiten

fr: Borréliose - Sentinella

de: Borreliose - Sentinella

en: Lyme disease - sentinella

it: Borreliosi - Sentinella

fr: Les données se fondent sur les informations recueillies par le système Sentinella. Depuis 2008, les médecins transmettent des informations sur les premières consultations de patients présentant une maladie de Lyme dans leur cabinet ou lors de visites à domicile.

de: Die Daten basieren auf Informationen aus dem Sentinella-Meldesystem. Seit 2008 übermitteln ambulante Ärztinnen und Ärzte Informationen über Erstkonsultationen in Arztpraxen bei Patientinnen und Patienten mit Lyme Borreliose.

en: The data are based on information from the Swiss Sentinel Surveillance Network (SSSN, Sentinella) monitoring system. Since 2008, outpatient doctors have been submitting information on initial consultations in medical practices for patients with Lyme Disease.

it: I dati si basano sulle informazioni ricavate dal sistema di dichiarazione Sentinella. Dal 2008, i medici che esercitano nel settore ambulatoriale trasmettono informazioni relative alle prime consultazioni svolte negli studi medici o durante le visite domiciliari in cui i pazienti presentano una malattia di Lyme.

fr: Données concernant la propagation et l’évolution temporelle des cas de borréliose en Suisse et dans la Principauté de Liechtenstein. Vous trouverez des donnés provenant du système de déclaration Sentinella.

en: Data on the spread and development of lyme disease infections and cases in Switzerland and the Principality of Liechtenstein. You will find data from the Sentinella reporting system.

de: Daten zur Verbreitung und zeitlichen Entwicklung von Borreliose Virusinfektionen und Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten aus dem Sentinella-Meldesystem.

it: Dati della diffusione e dell’evoluzione temporale dei casi di borreliosi in Svizzera e nel Principato del Liechtenstein. Qui trovate dati basate sul sistema di dichiarazione Sentinella.

borreliose-bag

display_name: borreliose-bag

borreliosemaladie-de-lyme-ofsp

display_name: borreliosemaladie-de-lyme-ofsp

borreliosi-malattia-di-lyme-ufsp

display_name: borreliosi-malattia-di-lyme-ufsp

lyme-disease-foph

display_name: lyme-disease-foph

fr: Borréliose

de: Borreliose

en: Lyme disease

it: Borreliose


syphilis

title_for_slug: syphilis

fr: Syphilis - système de déclaration obligatoire

de: Syphilis - Obligatorisches Meldesystem

en: Syphilis - mandatory reporting system

it: Sifilide - sistema di dichiarazione obbligatoria

fr: Données concernant la propagation et l’évolution temporelle des cas du syphilis en Suisse et dans la Principauté de Liechtenstein. Vous trouverez des donnés sur les cas provenant du système de déclaration obligatoire.

de: Daten zur Verbreitung und zeitlichen Entwicklung von Syphilis Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu Fällen aus dem obligatorischen Meldesystem.

en: Data on the spread and development of syphilis infections and cases in Switzerland and the Principality of Liechtenstein. You will find data on cases from the mandatory reporting system.

it: Dati della diffusione e dell’evoluzione temporale dei casi di sifilide in Svizzera e nel Principato del Liechtenstein. Qui trovate dati dei casi basate sul sistema di dichiarazione obbligatoria.

sifilide-ufsp

display_name: sifilide-ufsp

syphilis-bag

display_name: syphilis-bag

syphilis-foph

display_name: syphilis-foph

syphilis-ofsp

display_name: syphilis-ofsp

fr: Syphilis

de: Syphilis

en: Syphilis

it: Sifilide


fr: BAG-OFSP-UFSP-FOPH Website

de: BAG-OFSP-UFSP-FOPH Website

en: BAG-OFSP-UFSP-FOPH Website

it: BAG-OFSP-UFSP-FOPH Website

fr: Salmonellose - système de déclaration obligatoire

de: Salmonellose - Obligatorisches Meldesystem

en: Salmonellosis - mandatory reporting system

it: Salmonellosi - sistema di dichiarazione obbligatoria

de: Die Daten basieren auf Informationen, die Laboratorien, Ärztinnen und Ärzte sowie Spitäler dem BAG im Rahmen der Meldepflicht übermittelt haben.

fr: Données concernant la propagation et l’évolution temporelle des cas de salmonellose en Suisse et dans la Principauté de Liechtenstein. Vous trouverez des donnés sur les cas provenant du système de déclaration obligatoire.

de: Daten zur Verbreitung und zeitlichen Entwicklung von Salmonellose Erkrankungsfällen in der Schweiz und im Fürstentum Liechtenstein. Sie finden Daten zu Fällen aus dem obligatorischen Meldesystem.

en: Data on the spread and development of salmonellosis infections and cases in Switzerland and the Principality of Liechtenstein. You will find data on cases from the mandatory reporting system.

it: Dati della diffusione e dell’evoluzione temporale dei casi di salmonellosi in Svizzera e nel Principato del Liechtenstein. Qui trovate dati dei casi basate sul sistema di dichiarazione obbligatoria.

salmonellose-bag

display_name: salmonellose-bag

salmonellose-ofsp

display_name: salmonellose-ofsp

salmonellosi-ufsp

display_name: salmonellosi-ufsp

salmonellosis-foph

display_name: salmonellosis-foph

fr: Salmonellose

de: Salmonellose

en: Salmonellosis

it: Salmonellosi


maintainer: Immobilienamt des Kantons Zürich, Facility Management und Entwicklung

de: fahrzeuge kantonzuerich elektrizitaet

fr: RRB über die Beschaffung und Bewirtschaftung von Ladestationen für die Elektromobilität (RRB 1259/2020)

de: Ladevorgänge der kantonalen e-Ladestationen

de: Ladevorgänge der E-Ladestationen für die Elektrofahrzeuge der kantonalen Fahrzeugflotte. Die Ladestationen werden ausschliesslich durch die Betriebs- und Dienstfahrzeuge der kantonalen Verwaltung genutzt. Das Immobilienamt des Kantons Zürich bestellt und bewirtschaftet die E-Ladestationen für die Kantonale Verwaltung. Der Datensatz zeigt die einzelnen Ladevorgänge an, wie sie im System verzeichnet sind, es finden keine nachträglichen Korrekturen statt.

elektrizitaet

display_name: elektrizitaet

fahrzeuge

display_name: fahrzeuge

kantonzuerich

display_name: kantonzuerich

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

ima-kanton-zuerich

de: Immobilienamt des Kantons Zürich

de: Der Kanton Zürich verfügt über eines der grössten Immobilienportfolios der öffentlichen Hand in der Schweiz. Das Immobilienamt ist als Eigentümervertretung des Kantons mit der Steuerung, Entwicklung und Bewirtschaftung dieses Portfolios betraut.

political_level: canton

value: DCAT Harvester Immobilienamt Kt. ZH

de: E-Ladestationen der kantonalen Verwaltung Zürich


maintainer: Bundesamt für Landwirtschaft, Fachbereich Marktanalysen

en: price market-data

fr: SPARQL Endpoint avec présélection du graphe

en: SPARQL Endpoint with graph preselection

de: SPARQL Endpoint mit Vorauswahl des Graph

media_type: application/sparql-query

format: SPARQL

fr: Prix moyens annuels pour les céréales panifiables, la farine et les produits de boulangerie au niveau de la consommation

de: Jährliche Durchschnittspreise für Brotgetreide, Mehl und Backwaren auf der Wertschöpfungsstufe Konsum.

en: Annual average prices for bread cereals, flour, and bakery products at the consumer level

it: Prezzi medi annui per cereali panificabili, farina e prodotti da forno al livello del consumo

market-data

display_name: market-data

price

display_name: price

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

bundesamt-fur-landwirtschaft-blw

fr: Office fédéral de l'agriculture OFAG

de: Bundesamt für Landwirtschaft BLW

en: Federal Office for Agriculture FOAG

it: Ufficio federale dell'agricoltura UFAG

fr: L’Office fédéral de l’agriculture (OFAG) est le centre de compétence de la Confédération pour les questions relevant du secteur agricole. Il œuvre pour une agriculture multifonctionnelle.

en: The Federal Office for Agriculture (FOAG) is the Confederation's competence center for all core issues relating to the agricultural sector. The FOAG promotes multifunctional agriculture.

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

it: L’Ufficio federale dell’agricoltura (UFAG) è il centro di competenza della Confederazione per le questioni inerenti al settore agricolo. Esso si impegna per un'agricoltura multifunzionale.

value: LINDAS DCAT Harvester BLW

fr: Chiffres du marché des céréales panifiables - Prix de consommation annuels

en: Market figures for bread cereals - Annual consumer prices

de: Marktzahlen Brotgetreide - Jährliche Konsumentenpreise

it: Dati di mercato dei cereali panificabili - Prezzi di consumo annui


name: Bundesamt für Landwirtschaft, Fachbereich Marktanalysen

en: market-data price

fr: Indice de prix mensuel du marché du lait

en: Monthly price index for the milk market

de: Monatlicher Preis-Index zum Milchmarkt

it: Indice di prezzo mensile sul mercato lattiero

fr: Chiffres du marché du lait et des produits laitiers - Indicateur mensuel (production)

de: Marktzahlen Milch und Milchprodukte - Monatlicher Index (Produktion)

en: Market figures milk and dairy products - Monthly index (production)

it: Cifre di mercato latte e latticini - Indice mensili (produzione)


fr: Prix moyens mensuels des œufs à l’échelon de création de valeur production

de: Monatliche Durchschnittspreise für Eier auf der Wertschöpfungsstufe Produktion

en: Monthly average prices for eggs at the production stage of the value chain

it: Prezzi medi mensili delle uova nella fase di produzione della catena di valore

fr: Chiffres du marché des oeufs - Prix mensuels à la production

en: Market figures eggs - Monthly producer prices

de: Marktzahlen Eier - Monatliche Produzentenpreise

it: Cifre del mercato delle uova - Prezzi mensili alla produzione


fr: Structure du marché annuel des œufs en pourcentage au niveau de la chaîne de valeur ajoutée production

de: Struktur des jährlichen Eiermarktes in Prozent auf der Wertschöpfungsstufe Produktion

en: Structure of the annual egg market in per cent at the production value chain level

it: Struttura del mercato annuale delle uova in percentuale a livello della catena del valore produzione

fr: Chiffres du marché des œufs - Structure annuelle du marché (production)

en: Market figures eggs - Annual market structure (production)

de: Marktzahlen Eier - Jährliche Marktstruktur (Produktion)

it: Cifre del mercato delle uova -Fonti e contributi versati annuali disponibili


mauern

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

title_for_slug: mauern

fr: genie-civil pierre vecteur mur

de: bautechnik gestein vektor wand

en: civil-engineering stone vector wall

it: ingegneria-civile pietra-edilizia vettore muro

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

fr: Télécharger les données (.gpkg)

de: Daten herunterladen (.gpkg)

format: GPKG

protocol: WWW:DOWNLOAD:GeoJSON (GEOJSON)

fr: Télécharger les données (.json)

de: Daten herunterladen (.json)

format: GeoJSON

protocol: WWW:DOWNLOAD:AutoCAD DXF (DXF)

fr: Télécharger les données (.dxf)

de: Daten herunterladen (.dxf)

format: DXF

fr: Le jeu de données recense et localise les murs (petits murs et murs de soutènement) présents sur le territoire communal de Bienne, sans distinction quant au caractère privé ou public des terrains concernés. Ces éléments, bien que visibles et utiles sur le terrain, ne figurent pas dans les données de la mensuration officielle (MO), car ils n’entrent pas dans ses critères. Le relevé initial date d’avant 2007 et n’a pas été mis à jour depuis. Les murs intégrés à la MO* sont, quant à eux, disponibles dans la couche d’information « objets divers » et font l’objet d’une mise à jour régulière. *Pour une meilleure représentation lors du téléchargement, les données actuelles de la MO sont fournies en complément du présent jeu de données.

de: Dieser Geodatensatz enthält alle Mauern (kleine Mauern und Stützmauern) auf dem Gebiet der Stadt Biel. Es wird nicht unterschieden, ob sie sich auf privatem oder öffentlichem Grund befinden. Obwohl sie im Gelände sichtbar und nützlich sind, sind diese Objekte nicht in den Daten der amtlichen Vermessung (AV) enthalten, da sie deren Kriterien nicht entsprechen. Die ursprünglich erfassten Daten stammen aus der Zeit vor 2007 und wurden seither nicht nachgeführt. Die in der AV enthaltenen Mauern* hingegen sind in der Informationsebene «Einzelobjekte» enthalten und werden regelmässig aktualisiert. *Zur besseren Darstellung beim Herunterladen werden zusätzlich zu diesem Datensatz die aktuellen Daten der AV bereitgestellt.

spatial: Biel/Bienne

fr: Ville de Bienne - Service Cadastre et SIG

de: Stadt Biel - Dienststelle Vermessung und GIS

leben-in-biel-bienne

fr: Vie à Bienne

de: Leben in Biel

fr: Bienne est la plus grande ville bilingue de Suisse et la métropole mondiale de l’horlogerie. Elle compte environ 56 000 habitantes et habitants. Grâce à son ouverture sur le monde et à sa situation centrale entre la Suisse alémanique et la Suisse romande, elle ne cesse de se développer de manière dynamique. Située au bord du lac de Bienne et au pied du Jura, elle jouit d’une qualité de vie remarquable.

de: Biel ist die grösste zweisprachige Stadt der Schweiz und Uhren-Weltmetropole. Sie zählt rund 56 000 Einwohnerinnen und Einwohner. Mit ihrer Weltoffenheit und dank ihrer zentralen Lage zwischen der deutschen und französischen Schweiz entwickelt sie sich stets dynamisch weiter. Am Bielersee und Jurasüdfuss gelegen bietet sie eine hohe Lebensqualität.

it: Bienne è la più grande città bilingue della Svizzera e la capitale mondiale dell’orologeria. Conta circa 56 000 abitanti. Grazie al suo cosmopolitismo e alla sua posizione centrale tra la Svizzera tedesca e quella francese, è in costante sviluppo dinamico. Situata sul lago di Bienne e ai piedi delle montagne del Giura, vanta un'elevata qualità di vita.

political_level: commune

value: Stadt Biel/Bienne Leben in Biel - geocat Harvester

fr: Murs

de: Mauern


zone-moderee

maintainer: Frédéric Ducry, Responsable de diffusion

title_for_slug: zone-moderee

name: Service de la mobilité et de l’aménagement des espaces publics Ville de Lausanne, Gestionnaire de la donnée

fr: Métadonnée complète sur viageo.ch

de: Métadonnée complète sur viageo.ch

en: Métadonnée complète sur viageo.ch

it: Métadonnée complète sur viageo.ch

fr: Métadonnée sur geocat.ch

de: Métadonnée sur geocat.ch

en: Métadonnée sur geocat.ch

it: Métadonnée sur geocat.ch

fr: Zone modérée (SHP)

fr: Télécharger sur viageo.ch

format: SHP

fr: Zone modérée (CSV)

fr: Guichet cartographique de Lausanne

fr: Guichet en ligne : Guichet cartographique de Lausanne

fr:
Données des zones modérées de la commune de Lausanne.
Contient les zones 30, piétonnes, et de rencontres.

spatial: Lausanne

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

fr: Lausanne

lausanne

fr: Ville de Lausanne

fr: Le service de la mobilité et de l’aménagement des espaces publics (MAP) de la Ville de Lausanne publie ses géodonnées sous forme de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises aux conditions générales d'aquisition et d'utilisation des géodonnées de base en libre accès sont listées ici.

value: Stadt Lausanne - DCAT Harvester

fr: Zone modérée


quartiers-statistiques

maintainer: Patrick Florio, Gestionnaire de la donnée

title_for_slug: quartiers-statistiques

name: Patrick Florio, Responsable de diffusion

fr: Quartiers statistiques (SHP)

fr:
Cette couche contient le découpage de la ville de Lausanne en 18 quartiers statistiques.

Les données ventilées à l'échelle infra-communale sont disponibles sur le portail statistique officiel.

https://www.lausanne.ch/officiel/statistique

regi

fr: Régions et villes

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

fr: Quartiers statistiques


maintainer: Service du Cadastre, Gestionnaire de la donnée

name: Service du Cadastre, Responsable de diffusion

fr: Métadonnée sur geocat.ch

fr: Métadonnée complète sur viageo.ch

fr: LiDAR 2019 - Modèle numérique de surface (MNS) (GEOTIFF)

fr: Commander sur viageo.ch

format: GeoTIFF

fr:
Le MNS a été généré à partir de points bruts classifiés issus de l'office fédérale de topographie, swisstopo. Les points bruts sont interpolés sur une grille raster régulière d'une résolution spatiale de 0.5 mètre.

Pour le MNS, seuls les points des classes suivantes sont utilisés pour l'interpolation :
- Sol (surfaces imperméables)
- Sol (surfaces perméables)
- Eau
- Basse végétation
- Haute végétation
- Bâtiments
- Ponts

Le MNS est donc un modèle complet de la surface du territoire, avec arbres et bâtiments.


maintainer: Service du Cadastre, Responsable de diffusion

name: Service du Cadastre, Gestionnaire de la donnée

fr: LiDAR 2019 - Ombrage du MNS (rayonnement solaire) (GEOTIFF)

fr: Télécharger sur viageo.ch

fr: Guichet cartographique de Lausanne

fr: Guichet en ligne : Guichet cartographique de Lausanne

fr:
Cette carte d’ombrage est une image raster obtenue par ombrage du MNS qui offre une représentation précise du relief.

La méthode par rayonnement a été utilisée ici : calcul du rayonnement solaire cumulé dans la période du 21 mars par intervalle de 30 minutes.


fr: LiDAR 2019 - Ombrage du MNT (GEOTIFF)

fr:
Cette carte d’ombrage est une image raster obtenue par ombrage du MNT qui offre une représentation précise du relief.

Ces ombrages ont été réalisés par la méthode standard : illumination virtuelle d’un azimut de 315° et une élévation de 45° sont appliquées. La grille est à 0.5m de résolution.

fr: Lausanne

lausanne

fr: Ville de Lausanne

fr: Le service de la mobilité et de l’aménagement des espaces publics (MAP) de la Ville de Lausanne publie ses géodonnées sous forme de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises aux conditions générales d'aquisition et d'utilisation des géodonnées de base en libre accès sont listées ici.

fr: LiDAR 2019 - Ombrage du MNT


maintainer: Basel-Landschaft

fr: cantonal votation

de: abstimmung kantonal

it: cantonale votazione

author: Basel-Landschaft

fr: Descrizione del formato

de: Descrizione del formato

en: Descrizione del formato

it: Descrizione del formato

fr: Description du format

de: Description du format

en: Description du format

it: Description du format

fr: Formatbeschreibung

de: Formatbeschreibung

en: Formatbeschreibung

it: Formatbeschreibung

fr: Descripziun dal format

de: Descripziun dal format

en: Descripziun dal format

it: Descripziun dal format

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

identifier: csv

rm: Resultats finals da la votaziun chantunala "Änderung der Verfassung des Kantons Basel-Landschaft betreffend Aufgabenzuordnung und Zusammenarbeit der Baselbieter Gemeinden", 21 da matg 2017, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung der Verfassung des Kantons Basel-Landschaft betreffend Aufgabenzuordnung und Zusammenarbeit der Baselbieter Gemeinden", 21 mai 2017, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung der Verfassung des Kantons Basel-Landschaft betreffend Aufgabenzuordnung und Zusammenarbeit der Baselbieter Gemeinden", 21. Mai 2017, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung der Verfassung des Kantons Basel-Landschaft betreffend Aufgabenzuordnung und Zusammenarbeit der Baselbieter Gemeinden", 21 maggio 2017, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

en:
The Canton of Basel-Country publishes open datasets of cantonal offices and agencies.
Further information at https://ogd.bl.ch/

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - Abstimmungen


de: kantonal abstimmung

it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "Nicht formulierte Initiative «Ja zu fachlich kompetent ausgebildeten Lehrpersonen» vom 15. Oktober 2014", 21 da matg 2017, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Nicht formulierte Initiative «Ja zu fachlich kompetent ausgebildeten Lehrpersonen» vom 15. Oktober 2014", 21 mai 2017, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Nicht formulierte Initiative «Ja zu fachlich kompetent ausgebildeten Lehrpersonen» vom 15. Oktober 2014", 21. Mai 2017, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Nicht formulierte Initiative «Ja zu fachlich kompetent ausgebildeten Lehrpersonen» vom 15. Oktober 2014", 21 maggio 2017, Kanton Basel-Landschaft, suddivisi per municipalit.


fr: federal votation

de: abstimmung national

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 21. September 2011 «Schluss mit der MwSt-Diskriminierung des Gastgewerbes!»", 28 da settember 2014, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 21. September 2011 «Schluss mit der MwSt-Diskriminierung des Gastgewerbes!»", 28 septembre 2014, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 21. September 2011 «Schluss mit der MwSt-Diskriminierung des Gastgewerbes!»", 28. September 2014, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 21. September 2011 «Schluss mit der MwSt-Diskriminierung des Gastgewerbes!»", 28 settembre 2014, Kanton Basel-Landschaft, suddivisi per municipalit.

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal


de: national abstimmung

it: nazionale votazione

de: Basel-Landschaft

rm: Resultats finals da la votaziun federala "Bundesgesetz über Geldspiele (Geldspielgesetz, BGS)", 10 da zercladur 2018, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz über Geldspiele (Geldspielgesetz, BGS)", 10 juin 2018, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz über Geldspiele (Geldspielgesetz, BGS)", 10. Juni 2018, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz über Geldspiele (Geldspielgesetz, BGS)", 10 giugno 2018, Kanton Basel-Landschaft, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (direkter Gegenentwurf zur Volksinitiative "Ja zur Hausarztmedizin")", 18 da matg 2014, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (direkter Gegenentwurf zur Volksinitiative "Ja zur Hausarztmedizin")", 18 mai 2014, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (direkter Gegenentwurf zur Volksinitiative "Ja zur Hausarztmedizin")", 18. Mai 2014, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (direkter Gegenentwurf zur Volksinitiative "Ja zur Hausarztmedizin")", 18 maggio 2014, Kanton Basel-Landschaft, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Änderung vom 13.12.2002 des Obligationenrechts (Miete)", 8 da favrer 2004, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 13.12.2002 des Obligationenrechts (Miete)", 8 février 2004, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 13.12.2002 des Obligationenrechts (Miete)", 8. Februar 2004, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 13.12.2002 des Obligationenrechts (Miete)", 8 febbraio 2004, Kanton Basel-Landschaft, suddivisi per municipalit.


initiative-ja-zu-fairen-mieten

title_for_slug: initiative-ja-zu-fairen-mieten

de: Descrizione del formato

rm: Resultats finals da la votaziun federala "Initiative "Ja zu fairen Mieten"", 18 da matg 2003, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Initiative "Ja zu fairen Mieten"", 18 mai 2003, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Initiative "Ja zu fairen Mieten"", 18. Mai 2003, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Initiative "Ja zu fairen Mieten"", 18 maggio 2003, Kanton Basel-Landschaft, suddivisi per municipalit.

rm: Initiative "Ja zu fairen Mieten"

fr: Initiative "Ja zu fairen Mieten"

de: Initiative "Ja zu fairen Mieten"

it: Initiative "Ja zu fairen Mieten"


fr: regional-district election

de: wahl regional-district

it: elezione regionale-district

de: Formatbeschreibung

it: Descrizione del formato

de: Descripziun dal format

de: Description du format

identifier: parties-csv

identifier: parties-json

rm: Resultats finals da l'elecziun regiunala "Landratswahlen 2019 Wahlkreis Pratteln", 31 da mars 2019, Kanton Basel-Landschaft, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection régionale "Landratswahlen 2019 Wahlkreis Pratteln", 31 mars 2019, Kanton Basel-Landschaft, répartis par municipalités et par candidats.

de: Schlussresultate der regionalen Wahl "Landratswahlen 2019 Wahlkreis Pratteln", 31. März 2019, Kanton Basel-Landschaft, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione regionale "Landratswahlen 2019 Wahlkreis Pratteln", 31 marzo 2019, Kanton Basel-Landschaft, suddivisi per municipalit e candidati.

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

plaun-regiunal-district

display_name: plaun-regiunal-district

regional-district

display_name: regional-district

regionale-district

display_name: regionale-district

wahl

display_name: wahl

rm: Landratswahlen 2019 Wahlkreis Pratteln

fr: Landratswahlen 2019 Wahlkreis Pratteln

de: Landratswahlen 2019 Wahlkreis Pratteln

it: Landratswahlen 2019 Wahlkreis Pratteln


fr: cantonal votation

de: kantonal abstimmung

it: cantonale votazione

it: Descripziun dal format

it: Formatbeschreibung

fr: Description du format

it: Description du format

fr: Descrizione del formato

rm: Resultats finals da la votaziun chantunala "Teilrevision der Verfassung des Kantons Basel-Landschaft betreffend Volksinitiativen", 13 da favrer 2022, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Teilrevision der Verfassung des Kantons Basel-Landschaft betreffend Volksinitiativen", 13 février 2022, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Teilrevision der Verfassung des Kantons Basel-Landschaft betreffend Volksinitiativen", 13. Februar 2022, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Teilrevision der Verfassung des Kantons Basel-Landschaft betreffend Volksinitiativen", 13 febbraio 2022, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

gove

de: Regierung und öffentlicher Sektor

kanton-basel-landschaft

de: Kanton Basel-Landschaft

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/


de: abstimmung kantonal

it: votazione cantonale

fr: Descripziun dal format

fr: Formatbeschreibung

rm: Resultats finals da la votaziun chantunala "Änderung vom 5. Juni 2003 des Kirchengesetzes", 30 da november 2003, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung vom 5. Juni 2003 des Kirchengesetzes", 30 novembre 2003, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung vom 5. Juni 2003 des Kirchengesetzes", 30. November 2003, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung vom 5. Juni 2003 des Kirchengesetzes", 30 novembre 2003, Kanton Basel-Landschaft, suddivisi per municipalit.

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

votation

display_name: votation

gove

fr: Gouvernement et secteur public

it: Governo e settore pubblico

it: Cantone di Basilea-Campagna


fr: election regional-district

de: Basel-Landschaft

rm: Resultats finals da l'elecziun regiunala "Landratswahlen 2015 Wahlkreis Laufen", 8 da favrer 2015, Kanton Basel-Landschaft, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection régionale "Landratswahlen 2015 Wahlkreis Laufen", 8 février 2015, Kanton Basel-Landschaft, répartis par municipalités et par candidats.

de: Schlussresultate der regionalen Wahl "Landratswahlen 2015 Wahlkreis Laufen", 8. Februar 2015, Kanton Basel-Landschaft, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione regionale "Landratswahlen 2015 Wahlkreis Laufen", 8 febbraio 2015, Kanton Basel-Landschaft, suddivisi per municipalit e candidati.

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

rm: Landratswahlen 2015 Wahlkreis Laufen

fr: Landratswahlen 2015 Wahlkreis Laufen

de: Landratswahlen 2015 Wahlkreis Laufen

it: Landratswahlen 2015 Wahlkreis Laufen


fr: votation federal

de: abstimmung national

it: votazione nazionale

de: Descrizione del formato

rm: Resultats finals da la votaziun federala "Volksinitiative vom 16. Dezember 2021 «Für Freiheit und körperliche Unversehrtheit»", 9 da zercladur 2024, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 16. Dezember 2021 «Für Freiheit und körperliche Unversehrtheit»", 9 juin 2024, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 16. Dezember 2021 «Für Freiheit und körperliche Unversehrtheit»", 9. Juni 2024, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 16. Dezember 2021 «Für Freiheit und körperliche Unversehrtheit»", 9 giugno 2024, Kanton Basel-Landschaft, suddivisi per municipalit.

federal

display_name: federal

votazione

display_name: votazione

votaziun

display_name: votaziun


fr: regional-district election

de: wahl regional-district

it: regionale-district elezione

de: Formatbeschreibung

de: Descripziun dal format

rm: Resultats finals da l'elecziun regiunala "Landratswahlen 2007 Wahlkreis Laufen", 11 da favrer 2007, Kanton Basel-Landschaft, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection régionale "Landratswahlen 2007 Wahlkreis Laufen", 11 février 2007, Kanton Basel-Landschaft, répartis par municipalités et par candidats.

de: Schlussresultate der regionalen Wahl "Landratswahlen 2007 Wahlkreis Laufen", 11. Februar 2007, Kanton Basel-Landschaft, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione regionale "Landratswahlen 2007 Wahlkreis Laufen", 11 febbraio 2007, Kanton Basel-Landschaft, suddivisi per municipalit e candidati.

rm: Landratswahlen 2007 Wahlkreis Laufen

fr: Landratswahlen 2007 Wahlkreis Laufen

de: Landratswahlen 2007 Wahlkreis Laufen

it: Landratswahlen 2007 Wahlkreis Laufen


fr: federal votation

de: Description du format

it: Descrizione del formato

rm: Resultats finals da la votaziun federala "Volksinitiative "Für faire Steuern. Stopp dem Missbrauch beim Steuerwettbewerb (Steuergerechtigkeits-Initiative)", 28 da november 2010, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative "Für faire Steuern. Stopp dem Missbrauch beim Steuerwettbewerb (Steuergerechtigkeits-Initiative)", 28 novembre 2010, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative "Für faire Steuern. Stopp dem Missbrauch beim Steuerwettbewerb (Steuergerechtigkeits-Initiative)", 28. November 2010, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative "Für faire Steuern. Stopp dem Missbrauch beim Steuerwettbewerb (Steuergerechtigkeits-Initiative)", 28 novembre 2010, Kanton Basel-Landschaft, suddivisi per municipalit.

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal


de: national abstimmung

fr: Descrizione del formato

fr: Description du format

it: Descripziun dal format

rm: Resultats finals da la votaziun federala "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 da zercladur 2008, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 juin 2008, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1. Juni 2008, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 giugno 2008, Kanton Basel-Landschaft, suddivisi per municipalit.

gove

de: Regierung und öffentlicher Sektor

kanton-basel-landschaft

de: Kanton Basel-Landschaft


it: nazionale votazione

fr: Descripziun dal format

fr: Formatbeschreibung

it: Formatbeschreibung

it: Description du format

rm: Resultats finals da la votaziun federala "Änderung vom 18. Juni 2021 des Bundesgesetzes über die Stempelabgaben (StG)", 13 da favrer 2022, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 18. Juni 2021 des Bundesgesetzes über die Stempelabgaben (StG)", 13 février 2022, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 18. Juni 2021 des Bundesgesetzes über die Stempelabgaben (StG)", 13. Februar 2022, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 18. Juni 2021 des Bundesgesetzes über die Stempelabgaben (StG)", 13 febbraio 2022, Kanton Basel-Landschaft, suddivisi per municipalit.

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/