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


maintainer: Bundesamt für Landwirtschaft, Fachbereich Marktanalysen

en: market-data price

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 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

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

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

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.

political_level: confederation

value: LINDAS DCAT Harvester BLW

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


name: Bundesamt für Landwirtschaft, Fachbereich Marktanalysen

en: price market-data

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


maintainer: Service du Cadastre, Responsable de diffusion

name: Service du Cadastre, 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: LiDAR 2019 - Ombrage du MNS (rayonnement solaire) (GEOTIFF)

fr: Télécharger sur viageo.ch

format: GeoTIFF

fr: Commander 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.

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

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


maintainer: Basel-Landschaft

fr: election federal

de: wahl national

it: nazionale elezione

fr: Formatbeschreibung

de: Formatbeschreibung

en: Formatbeschreibung

it: Formatbeschreibung

fr: Descripziun dal format

de: Descripziun dal format

en: Descripziun dal format

it: Descripziun dal format

fr: Description du format

de: Description du format

en: Description du format

it: Description du format

fr: Descrizione del formato

de: Descrizione del formato

en: Descrizione del formato

it: Descrizione del formato

media_type: application/json

format: JSON

mimetype: application/json

identifier: parties-json

identifier: csv

identifier: json

identifier: parties-csv

rm: Resultats finals da l'elecziun federala " Nationalratswahlen 2003", 19 d’october 2003, Kanton Basel-Landschaft, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale " Nationalratswahlen 2003", 19 octobre 2003, Kanton Basel-Landschaft, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl " Nationalratswahlen 2003", 19. Oktober 2003, Kanton Basel-Landschaft, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale " Nationalratswahlen 2003", 19 ottobre 2003, Kanton Basel-Landschaft, suddivisi per municipalit e candidati.

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

wahl

display_name: wahl

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

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/

political_level: canton

value: BL - Abstimmungen

rm: Nationalratswahlen 2003

fr: Nationalratswahlen 2003

de: Nationalratswahlen 2003

it: Nationalratswahlen 2003


fr: federal votation

de: abstimmung national

it: nazionale votazione

de: Basel-Landschaft

rm: Resultats finals da la votaziun federala "Verbesserung der steuerlichen Rahmenbedingungen für unternehmerische Tätigkeiten und Investitionen "Unternehmenssteuerreformgesetz II"", 24 da favrer 2008, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Verbesserung der steuerlichen Rahmenbedingungen für unternehmerische Tätigkeiten und Investitionen "Unternehmenssteuerreformgesetz II"", 24 février 2008, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Verbesserung der steuerlichen Rahmenbedingungen für unternehmerische Tätigkeiten und Investitionen "Unternehmenssteuerreformgesetz II"", 24. Februar 2008, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Verbesserung der steuerlichen Rahmenbedingungen für unternehmerische Tätigkeiten und Investitionen "Unternehmenssteuerreformgesetz II"", 24 febbraio 2008, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

gove

en: Government and public sector

it: Governo e settore pubblico


it: votazione nazionale

author: Basel-Landschaft

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 17. Dezember 2004 über die Genehmigung und die Umsetzung der bilateralen Abkommen zwischen der Schweiz und der EU über die Assoziierung an Schengen und an Dublin", 5 da zercladur 2005, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 17. Dezember 2004 über die Genehmigung und die Umsetzung der bilateralen Abkommen zwischen der Schweiz und der EU über die Assoziierung an Schengen und an Dublin", 5 juin 2005, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 17. Dezember 2004 über die Genehmigung und die Umsetzung der bilateralen Abkommen zwischen der Schweiz und der EU über die Assoziierung an Schengen und an Dublin", 5. Juni 2005, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 17. Dezember 2004 über die Genehmigung und die Umsetzung der bilateralen Abkommen zwischen der Schweiz und der EU über die Assoziierung an Schengen und an Dublin", 5 giugno 2005, Kanton Basel-Landschaft, suddivisi per municipalit.


fr: cantonal election

de: wahl kantonal

it: cantonale elezione

rm: Resultats finals da l'elecziun chantunala "Ständeratsnachwahl 2019", 24 da november 2019, Kanton Basel-Landschaft, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Ständeratsnachwahl 2019", 24 novembre 2019, Kanton Basel-Landschaft, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Ständeratsnachwahl 2019", 24. November 2019, Kanton Basel-Landschaft, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Ständeratsnachwahl 2019", 24 novembre 2019, Kanton Basel-Landschaft, suddivisi per municipalit e candidati.

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

rm: Ständeratsnachwahl 2019

fr: Ständeratsnachwahl 2019

de: Ständeratsnachwahl 2019

it: Ständeratsnachwahl 2019


fr: votation cantonal

de: kantonal abstimmung

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Änderung vom 23. Juni 2005 des Gesetzes über den Gewässerschutz (§ 12 Absätze 1 und 2; Überwälzung des Vollzugsaufwandes im Abwasserbereich auf die Verursacherinnen und Verursacher)", 25 da settember 2005, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung vom 23. Juni 2005 des Gesetzes über den Gewässerschutz (§ 12 Absätze 1 und 2; Überwälzung des Vollzugsaufwandes im Abwasserbereich auf die Verursacherinnen und Verursacher)", 25 septembre 2005, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung vom 23. Juni 2005 des Gesetzes über den Gewässerschutz (§ 12 Absätze 1 und 2; Überwälzung des Vollzugsaufwandes im Abwasserbereich auf die Verursacherinnen und Verursacher)", 25. September 2005, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung vom 23. Juni 2005 des Gesetzes über den Gewässerschutz (§ 12 Absätze 1 und 2; Überwälzung des Vollzugsaufwandes im Abwasserbereich auf die Verursacherinnen und Verursacher)", 25 settembre 2005, Kanton Basel-Landschaft, suddivisi per municipalit.


de: national abstimmung

de: Formatbeschreibung

it: Formatbeschreibung

de: Descripziun dal format

rm: Resultats finals da la votaziun federala "Bundesgesetz vom 24. März 2006 über die Zusammenarbeit mit den Staaten Osteuropas", 26 da november 2006, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 24. März 2006 über die Zusammenarbeit mit den Staaten Osteuropas", 26 novembre 2006, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 24. März 2006 über die Zusammenarbeit mit den Staaten Osteuropas", 26. November 2006, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 24. März 2006 über die Zusammenarbeit mit den Staaten Osteuropas", 26 novembre 2006, Kanton Basel-Landschaft, suddivisi per municipalit.


maintainer: Open Data Zürich

de: objekte maske reisen archiv sammlung kunst ethnologie gebrauchsgegenstande github alaska afrika himmelheber

de:
Das Museum Rietberg ist das einzige Museum für aussereuropäische Kunst in der Schweiz. Die international renommierte Sammlung beherbergt bedeutende Werke aus Asien, Afrika, Amerika und Ozeanien.

Für Hans Himmelheber standen Objekte im Mittelpunkt seines kunstethnologischen Ansatzes. Als einer der Ersten führte er empirische Studien in Afrika zu kunsthistorischen Fragestellungen durch. Vor Ort beobachtete und dokumentierte er die Herstellung, den Gebrauch und die Bedeutung von Masken, Figuren und Alltagsgegenständen und interviewte die Erschaffer der Werke. Darüber hinaus analysierte Himmelheber die ästhetischen Prinzipien der Artefakte und ordnete diese historisch und stilistisch in eine Kunstgeschichte Afrikas ein.
Hans Himmelheber legte nicht sehr viel Wert auf alte oder gebrauchte Stücke, die in Museen und für den Kunstmarkt als besonders wertvoll beziehungsweise authentisch galten. Stattdessen dokumentierte er eine Figur oder Maske im Moment ihrer Herstellung, interviewte den Bildhauer bei seiner Arbeit und kaufte danach das in seinem Auftrag hergestellte Stück. Er interessierte sich auch für mitunter nie oder kaum benutze Kunstwerke. Als ästhetisch orientierter Ethnologe versuchte er zwar, Kriterien der indigenen Bewertung eines Objektes zu berücksichtigen, wurde aber auch immer wieder davon geleitet, was er selbst als «schön» und «von guter Qualität» empfand. In den 1960er Jahren entstanden vermehrt Studien von amerikanischen und vor allem von afrikanischen Forscherinnen und Forschern, in denen noch konsequenter als bei Himmelheber die lokalen Perspektiven der Kunstschaffenden und ihre ästhetischen Praktiken berücksichtigt wurden.

Seine Erwerbungen stammen hauptsächlich von seinen wiederholten Aufenthalten in der Côte d’Ivoire und Liberia (Baule, Dan, Guere, Guro, Senufo) sowie von seiner einmaligen Reise durch die heutige Demokratische Republik Kongo (Chokwe, Kuba, Pende, Songye, Yaka). Im Grenzgebiet zwischen Côte d’Ivoire und Liberia kehrte Himmelheber immer wieder an dieselben Dan-Orte zurück und versuchte, das gesamte Kulturinventar dieser Bevölkerungsgruppe über einen Zeitraum von fast dreissig Jahren (1949-1976) zusammenzutragen. Neben Masken und Figuren, die im Westen zum Kanon der Kunst Afrikas zählten, gehörten dazu Haushaltsgegenstände, Matten, Kochlöffel oder Tongefässe. So entstand eine dichte, historisch tiefe Ethnografie, die vom Kunstschaffen über das Maskenwesen bis zur Religion und Oral History verschiedenste Aspekte der Kunst und Kultur der Dan-Region abdeckt.

Das Museum Rietberg beherbergt mittlerweile mehr als 930 Objekte, die Hans Himmelheber zwischen 1933 und 1976 auf seinen Reisen in der Côte d’Ivoire, in Liberia und der DR Kongo angekauft hatte. Dabei handelt es sich grösstenteils (95%) um Himmelhebers private Sammlung, die seine Familie nach seinem Tod zwischen 2013 und 2022 dem Museum Rietberg als Schenkung überliess.

afrika

display_name: afrika

alaska

display_name: alaska

archiv

display_name: archiv

ethnologie

display_name: ethnologie

gebrauchsgegenstande

display_name: gebrauchsgegenstande

github

display_name: github

himmelheber

display_name: himmelheber

kunst

display_name: kunst

maske

display_name: maske

objekte

display_name: objekte

reisen

display_name: reisen

sammlung

display_name: sammlung

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

stadt-zurich

fr: Ville de Zurich

de: Stadt Zürich

en: City of Zurich

it: Cità di Zurigo

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

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

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

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

value: ZH - DCAT Harvester

de: Objekte im Archiv von Hans Himmelheber (1908–2003) im Museum Rietberg


maintainer: Staatskanzlei Zug

de: abstimmung national

author: Staatskanzlei Zug

fr: Description du format

de: Description du format

it: Description du format

fr: Descrizione del formato

de: Descrizione del formato

it: Descrizione del formato

fr: Descripziun dal format

it: Descripziun dal format

fr: Formatbeschreibung

rm: Resultats finals da la votaziun federala "Volksinitiative vom 12. September 2019 «Ja zum Schutz der Kinder und Jugendlichen vor Tabakwerbung (Kinder und Jugendliche ohne Tabakwerbung)»", 13 da favrer 2022, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 12. September 2019 «Ja zum Schutz der Kinder und Jugendlichen vor Tabakwerbung (Kinder und Jugendliche ohne Tabakwerbung)»", 13 février 2022, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 12. September 2019 «Ja zum Schutz der Kinder und Jugendlichen vor Tabakwerbung (Kinder und Jugendliche ohne Tabakwerbung)»", 13. Februar 2022, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 12. September 2019 «Ja zum Schutz der Kinder und Jugendlichen vor Tabakwerbung (Kinder und Jugendliche ohne Tabakwerbung)»", 13 febbraio 2022, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

gove

de: Regierung und öffentlicher Sektor

staatskanzlei-zug

de: Staatskanzlei Zug

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

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

value: ZG-Kt - Staatskanzlei - DCAT Harvester


fr: election cantonal

de: wahl kantonal

de: Formatbeschreibung

rm: Resultats finals da l'elecziun chantunala "Regierungsratswahl 2010", 3 d’october 2010, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Regierungsratswahl 2010", 3 octobre 2010, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Regierungsratswahl 2010", 3. Oktober 2010, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Regierungsratswahl 2010", 3 ottobre 2010, Kanton Zug, suddivisi per municipalit e candidati.

cantonal

display_name: cantonal

cantonale

display_name: cantonale

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

wahl

display_name: wahl

gove

fr: Gouvernement et secteur public

it: Governo e settore pubblico

rm: Regierungsratswahl 2010

fr: Regierungsratswahl 2010

de: Regierungsratswahl 2010

it: Regierungsratswahl 2010


fr: municipal election

de: wahl kommunal

it: comunale elezione

de: Descripziun dal format

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2018 Gde Steinhausen", 7 d’october 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2018 Gde Steinhausen", 7 octobre 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2018 Gde Steinhausen", 7. Oktober 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2018 Gde Steinhausen", 7 ottobre 2018, Kanton Zug, suddivisi per municipalit e candidati.

comunale

display_name: comunale

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

rm: Kantonsratswahl 2018 Gde Steinhausen

fr: Kantonsratswahl 2018 Gde Steinhausen

de: Kantonsratswahl 2018 Gde Steinhausen

it: Kantonsratswahl 2018 Gde Steinhausen


de: kommunal wahl

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2022 Gde Unterägeri", 2 d’october 2022, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2022 Gde Unterägeri", 2 octobre 2022, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2022 Gde Unterägeri", 2. Oktober 2022, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2022 Gde Unterägeri", 2 ottobre 2022, Kanton Zug, suddivisi per municipalit e candidati.

rm: Kantonsratswahl 2022 Gde Unterägeri

fr: Kantonsratswahl 2022 Gde Unterägeri

de: Kantonsratswahl 2022 Gde Unterägeri

it: Kantonsratswahl 2022 Gde Unterägeri


de: kantonal wahl

it: elezione cantonale

de: Description du format

it: Formatbeschreibung

rm: Resultats finals da l'elecziun chantunala "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 da zercladur 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 juin 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24. Juni 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 giugno 2018, Kanton Zug, suddivisi per municipalit e candidati.


fr: votation federal

de: abstimmung national

it: votazione nazionale

de: Descrizione del formato

rm: Resultats finals da la votaziun federala "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 da zercladur 2012, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 juin 2012, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17. Juni 2012, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 giugno 2012, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

gove

de: Regierung und öffentlicher Sektor


wanderwege

regi

fr: Régions et villes

de: Regionen und Städte

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: wanderwege

fr: geodonnees sentier-de-randonnee transport-prive transport

de: geodaten wanderweg individualverkehr verkehr

en: geodata hiking-trail private-transport transport

it: geodati sentiero-escursionistico trasporto-privato trasporti

author: Kanton Thurgau, Amt für Geoinformation

fr: geocat.ch permalien

de: geocat.ch Permalink

it: geocat.ch link permanente

de: Wanderwege

format: WMS

format: WFS

de: ThurGIS Shop

de: Langsamverkehr: Verlauf der Wanderwege und hindernisfreien Wege mit symbolischer Darstellung der Wegweiser und Informationen über die Wegoberfläche.

spatial: Kanton Thurgau (TG)

fr: Kanton Thurgau, Amt für Geoinformation

de: Kanton Thurgau, Amt für Geoinformation

en: Kanton Thurgau, Amt für Geoinformation

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

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

value: TG-Kt - Geocat Harvester

de: Wanderwegnetze kantonal


gefahrenhinweiskarte

regi

en: Regions and cities

envi

fr: Environnement

de: Umwelt

it: Ambiente

title_for_slug: gefahrenhinweiskarte

fr: geodonnees evaluation-du-risque danger-naturel risque-naturel risque-naturel

de: geodaten risikobewertung naturgefahr naturgefahr naturrisiko

en: geodata risk-assessment natural-hazard natural-hazard natural-risk

it: geodati valutazione-del-rischio pericolo-naturale pericoli-naturali rischio-naturale

en: geocat.ch permalink

de: Gefahrenhinweiskarte

de: Beinhaltet Überflutungsgebiete, allgemeine Gefahrengebiete (Erosion, Rutschungen, Verklausung, Verstopfung, Murgang, Steinschlag) sowie Risikostellen.


waldreservate-kommunal

envi

en: Environment

title_for_slug: waldreservate-kommunal

fr: geodonnees reserve protection-de-la-foret bois protection-du-paysage protection-du-paysage preservation-de-la-nature reserve-forestiere sylviculture

de: geodaten reservat waldschutz wald landschaftsschutz landschaftsschutz naturschutz waldschutzgebiet forstwirtschaft

en: geodata reserve forest-protection wood landscape-conservation landscape-conservation nature-conservation forest-reserve forestry

it: geodati riserva protezione-della-foresta bosco conservazione-del-paesaggio conservazione-del-paesaggio conservazione-della-natura riserve-forestali forestazione

de: Waldreservate

de: Waldreservate (kommunal)

de: Waldreservate gemäss WaG (SR 921.0), TG WaldG (RB 921.1) und TG WaldV (RB 921.11). Rechtlich gesichert mit einer Schutzanordnung (RRB), Schutzplan und Waldzieltypenplan. Darin sind der Perimeter des Schutzgebietes und die waldbauliche Behandlung der Teilflächen festgelegt.

de: Waldreservate kommunal


freiangelrechte

regi

de: Regionen und Städte

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

title_for_slug: freiangelrechte

fr: geodonnees loi-sur-la-peche peche

de: geodaten fischereirecht fischerei

en: geodata fishing-law fishery

it: geodati legislazione-sulla-pesca pesca

de: geocat.ch Permalink

de: freiangelrecht

de: Fischereiverbote

de: Soweit nicht Fischenzen entgegenstehen, ist die Uferfischerei (Freiangelei) am Bodensee, Untersee und Rhein für jedermann frei. Freiangeleirechte bestehen ebenfalls an der Aach auf dem Gebiet der Gemeinden Romanshorn und Salmsach von der Brücke Arbonerstrasse bis zur Mündung, im Badeweiher Pfyn (in unteren Widen) sowie im westlichen Chasperäcker Weiher (Hugiweiher) bei Erzenholz in Frauenfeld entlang der nordseitigen Strasse. Zusätzliche Freiangelrechte sind gemäss RB 923.11 § 14 definiert.

de: Freiangelrechte


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

envi

de: Umwelt

fr: geodonnees bois foret legislation-forestiere

de: geodaten wald forst forstrecht

en: geodata wood forest forestry-legislation

it: geodati bosco foresta legislazione-forestale

de: Waldareal

de: Darstellung des Waldareals gemäss Waldgesetzgebung Thurgau.

de: Kanton Thurgau, Amt für Geoinformation

kanton-thurgau

de: Kanton Thurgau

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


de: geodaten larmbelastung verkehrslarm

en: geodata noise-pollutant traffic-noise

de: Laermbelastungskataster

de: ThurGIS Shop

de: Strassen-Lärm-Belastungs-Kataster für Haupt- und übrige Strassen. Er gibt Auskunft über die berechneten oder gemessenen Strassenlärmimmissionen an der Aussenseite angrenzender Gebäude.

de: Strassen-Lärm-Belastungs-Kataster (SLBK) für Staatsstrassen


gefahrenkartierung

regi

de: Regionen und Städte

title_for_slug: gefahrenkartierung

fr: geodonnees risque-naturel evaluation-du-risque risque-naturel

de: geodaten naturrisiko risikobewertung naturgefahr

en: geodata natural-risk risk-assessment natural-hazard

it: geodati rischio-naturale valutazione-del-rischio pericoli-naturali

de: geocat.ch Permalink

de: Fliesstiefenkarte Wasser HQ30

de: Fliesstiefenkarte Wasser HQ100

de: Fliesstiefenkarte Wasser HQ300

de: Erhebungsgebiet

de: Naturgefahren Erhebungsgebiet

de: Gefahrenkarte Rutschungen

de: Synoptische Gefahrenkarte

de: Gefahrenkarte Wasser

de: Intensitätskarte Rutschungen permanent

de: Intensitätskarte Rutschungen T30

de: Intensitätskarte Rutschungen T100

de: Intensitätskarte Rutschungen T300

de: Intensitätskarte Wasser HQ30

de: Intensitätskarte Wasser HQ100

de: Intensitätskarte Wasser HQ300

de: Karte der Phänomene Rutschungen

de: Karte der Phänomene Wasser

de: Gefahrenkarte Erhebungsgebiet

de: Gefahrenkarte synoptisch

de: Gefahrenkarte und Nebenprodukte: Darstellung der Gefährdung aufgrund der Prozesse Hochwasser/Überschwemmung und Rutschung/Hangmuren. Nebenprodukte sind Karte der Phänomene, Fliesstiefen- und Intensitätskarte.


friedensrichteramter

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: friedensrichteramter

de: geodaten offentliche-verwaltungseinrichtung interessenkonflikt verwaltung verwaltungsgrenze

de: geocat.ch Permalink

de: friedensrichteraemter

de: Friedensrichterämter

de: ThurGIS Shop

de: Dieser Datensatz zeigt die Standorte der Friedensrichterämter und dessen Zuständigkeitsgebiete.

de: Kanton Thurgau, Amt für Geoinformation

kanton-thurgau

de: Kanton Thurgau

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


fr: hrdf donnees horaire

de: fahrplan mobilitatsdienstleister haltestelle fahrt verkehrsmittel daten geschaftsorganisation passagier embag bus seilbahn linie zug hrdf

en: hrdf timetable data

it: orario hrdf dati

fr: HAFAS-Rohdaten-Format

de: HAFAS-Rohdaten-Format

en: HAFAS-Rohdaten-Format

it: HAFAS-Rohdaten-Format

fr: La livraison des données contient des erreurs qui seront corrigées lors de la prochaine livraison, le 21 novembre 2025.

de: Die Datenlieferung enthält Fehler, welche mit der nächsten Lieferung vom 21.11.2025 korrigiert werden.

en: The data delivery contains errors that will be corrected with the next data delivery on 21 November 2025.

it: La consegna dei dati contiene errori che saranno corretti con la prossima consegna del 21.11.2025.

fr:
L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est fourni au format de données brutes HAFAS (HRDF).

Les données 2023 et antérieures se trouvent dans nos archives de données : https://archive.opentransportdata.swiss

en:
The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the HAFAS raw data format (HRDF).

Data 2023 and older can be found in our data archive: https://archive.opentransportdata.swiss

de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Elemente, die eine Fahrplandarstellung und -auskunft ermöglichen.

Daten 2023 und älter sind in unserem Datenarchiv zu finden: https://archive.opentransportdata.swiss

it:
L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il formato Raw HAFAS (HRDF).

I dati del 2023 e precedenti sono disponibili nel nostro archivio dati: https://archive.opentransportdata.swiss

oevch

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.


maintainer: Fachstelle atlas

fr: sans-prestation-de-transport relation lhand donnees proprietaire en-route-sans-barrieres

de: verbindung daten ohne-befoerderungsleistung barrierefreies-reisen proprietaer behig

en: accessible-travel prm relation proprietary without-transport-service data

it: in-viaggio-senza-barriere collegamento ldis proprietario senza-servizio-di-transporto dati

author: atlas

fr: Cookbook

de: Cookbook

en: Cookbook

it: Cookbook

fr: TODO

de: Tagesaktueller Stand für die kommende Fahrplanperiode.

en: TODO

it: TODO

fr: Cet ensemble de données contient des informations sur l'accessibilité du trajet entre les points de référence et les différents objets (par ex. guichet, toilettes).

en: This data set contains information on the accessibility of the path between the reference points and the various objects (e.g. contact point, toilet).

de: Dieser Datensatz enthält Informationen zur Barrierefreiheit des Weges zwischen den Referenzpunkten und den verschiedenen Objekten (z.B. Schalter, Toilette).

it: Questo set di dati contiene informazioni sull'accessibilità del percorso tra i punti di riferimento e i vari oggetti (ad es. contatore, toilette).

accessible-travel

display_name: accessible-travel

barrierefreies-reisen

display_name: barrierefreies-reisen

behig

display_name: behig

collegamento

display_name: collegamento

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

en-route-sans-barrieres

display_name: en-route-sans-barrieres

in-viaggio-senza-barriere

display_name: in-viaggio-senza-barriere

ldis

display_name: ldis

lhand

display_name: lhand

ohne-befoerderungsleistung

display_name: ohne-befoerderungsleistung

prm

display_name: prm

proprietaer

display_name: proprietaer

proprietaire

display_name: proprietaire

proprietario

display_name: proprietario

proprietary

display_name: proprietary

relation

display_name: relation

sans-prestation-de-transport

display_name: sans-prestation-de-transport

senza-servizio-di-transporto

display_name: senza-servizio-di-transporto

verbindung

display_name: verbindung

without-transport-service

display_name: without-transport-service

spatial: Schweiz

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

fr: atlas (plateforme SKI Business)

de: atlas (SKI Business Plattform)

en: atlas (SKI Business Platform)

it: atlas (piattaforma commerciale SKI)

value: Opentransportdata - DCAT Harvester

fr: Accessibilité - Relations (changement d'horaire)

en: Accessibility - Relations (timetable change)

de: Barrierefreiheit - Verbindungen (Fahrplanwechsel)

it: Accessibilità - Collegamenti (cambio di orario)