en:
This repository contains extensive data for the European Alps:
   - Observations of ~3,500 plant species
   - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
   - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
   - Regional maps of barriers to migration and water bodies at 100-m resolution
   - Sampling effort, distance to roads and cities predictors at 100-m resolution
   - Present and future abundances over the study region at 1-km resolution (~2,000 species)
   - Present and future multifaceted and uniqueness of the European Alps' Flora at  1-km resolution
   - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
   - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
   - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps

en: land-use-change global-change zonation taxonomic-diversity functional-diversity migclim plants phylogenetic-diversity european-alps conservation species-distribution-models beta-diversity

en:
Resource Title: Updated SDM outputs
    Size: 10242439935 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7b947fcf-73a0-46a7-be03-804797c9c3d7/resource/4838348a-6050-4774-83f1-cab5efe7b244/download/sdm_outputs_updated.zip
    Description: Refined scenarios of plants distribution in the European Alps

en:
Resource Title: Data Access
    Size: 85899345920 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.371%2F
    Description:

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

plants

display_name: plants

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation


$oid: OBSOLETE

en:
The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat.
Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

en: Large GIS raster data derived from Natural Earth Data (Cross Blended Hypso with Shaded Relief and Water)

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: map preview 0.5MB
    Size: 482223 bytes
    Format: image/jpeg
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.68/gisdata/tiny_map_preview.jpg
    Description:

format: jpeg

en:
Resource Title: Bulk Data Access
    Size: 111669149696 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.68%2F
    Description: Link to the S3 bucket where all the data resources can be downloaded in bulk

gis

display_name: gis

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis


en:
This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.
The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:
_Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical
instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_
The code and potential updates can be accessed directly through git via:
https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

en: A numerical solver for heat and mass transport in snow based on FEniCS

en: snow pattern-formation python numerical-model vapor-transport

format: ZIP

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

snow

display_name: snow

vapor-transport

display_name: vapor-transport


en:
This dataset contains the input data generated for the pseudo-global warming (PGW) experiments used in the study of the March 2022 Antarctic heatwave with the CRYOWRF model. It includes:
- PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for past and  future storyline experiments.
- Model configuration files required to reproduce the CRYOWRF simulations.
These resources allow researchers to reproduce the experimental setup and generate model outputs consistent with the results presented in the study.

en: Storylines of the March 2022 heatwave event at Concordia - East Antarctica

en: climate-change antarctica event-attribution heatwave atmospheric-rivers extreme-events era5 cmip6

en:
Resource Title: CRYOWRF_ANT_20220315_ConfigFiles.tar
    Size: 912259096 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/7f77d116-cd3b-4eec-a6d6-061b0d7b43f6/download/cryowrf_ant_20220315_configfiles.tar
    Description: Model configuration files required to reproduce the CRYOWRF simulations over Antarctica.

en:
Resource Title: PGW_deltas.tar
    Size: 3701853962 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/9936c23c-dc86-4eaa-8a6f-5a49cffb338c/download/pgw_deltas.tar
    Description: PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for future storyline experiments.

antarctica

display_name: antarctica

atmospheric-rivers

display_name: atmospheric-rivers

climate-change

display_name: climate-change

event-attribution

display_name: event-attribution

extreme-events

display_name: extreme-events

heatwave

display_name: heatwave


carabid-beetles-in-forests

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

en: Carabid beetles in forests

en: running-beetles carabidae trapping coleoptera forest insects arthropoda

title_for_slug: carabid-beetles-in-forests

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

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

format: TXT

media_type: text/plain

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

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

arthropoda

display_name: arthropoda

carabidae

display_name: carabidae

coleoptera

display_name: coleoptera

forest

display_name: forest

insects

display_name: insects

running-beetles

display_name: running-beetles

trapping

display_name: trapping


en:
This data was collected at Mizuho Station (44.315°E, 70.71°S, 2230 m a.s.l.), East Antarctica, from **30 September to 22 November 2000** during the 41st Japanese Antarctic research expedition. Vertical profiles of the horizontal mass flux and particle number size distribution of drifting and blowing snow were measured in the lowest 10 m of the atmosphere using four **snow particle counters** (SPCs). Three 3-dimensional **ultrasonic anemometers** were deployed in the lowest 25 m of the atmosphere to record the wind velocity components and sonic temperature at a high frequency of 100 Hz. Additionally, an **automatic weather station** provided air temperature, relative humidity, air pressure, shortwave and longwave downward and upward radiation fluxes, surface temperature, snow temperatures at depths of 0.1 and 0.4 m below the surface, wind speed, and wind direction. The data is complemented by **weather observations** performed twice to eleven times per day by the Japanese Meteorological Agency.
Most of the time, the lowest SPC was situated at a height of 0.05 or 0.1 m above the snow surface. During certain periods called profile runs, the height of the lowest SPC was systematically varied between 0.02 and 0.2 m to increase the vertical resolution of the measured profiles. The other SPC's were installed at fixed heights of 1.1, 3.1, and 9.6 m. During each profile run, the lowest SPC was kept at a specific height for approximately 10 min before changing the height. If the wind speed remained approximately constant throughout a profile run, the data was used to compute the average snow-transport profile in that period. In total, 24 of such average profiles were obtained. A part of these SPC measurements are discussed in Nishimura and Nemoto (2005).
The ultrasonic anemometers were placed at heights of 0.3, 1, and 25 m. However, the height of the lowest ultrasonic anemometer was changed several times in the measurement period and ranged from 0.05 to 0.32 m. On top of that, 19 short periods (each lasting 15 to 160 min) were used to systematically vary the height of the lowest ultrasonic anemometer and thus increase the vertical resolution of the measured wind speed profile. Occasionally, drifting and blowing snow particles perturbed the ultrasonic measurement signal and electrically-charged particles caused an electric charge of the anemometers, leading to artifacts such as spikes and dropouts in the measured time series. These artifacts were largely removed and replaced by NaN, using the statistical spike removal algorithm of Mauder et al. (2013). However,  the artifact removal was sometimes incomplete for the lowest anemometer because of very intense snow transport close to the surface. While temporal averages are barely affected by the artifacts, the high-frequency data of the lowest anemometer should be used carefully when computing turbulent fluxes using the eddy-covariance method. Further important explanations are provided in the file Readme.pdf in data resource '(a) Metadata'.
References
- Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H.P., Schmidt, M., Steinbrecher, R. (2013). A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements. Agric For Meteorol 169:122–135. https://doi.org/10.1016/j.agrformet.2012.09.006
- Nishimura, K., Nemoto M. (2005). Blowing snow at Mizuho station, Antarctica. Phil. Trans. R. Soc. A. 363: 1647–1662. https://doi.org/10.1098/rsta.2005.1599

en: Profile measurements of snow transport and micrometeorology at Mizuho Station in Antarctica

en: blowing-snow drifting-snow meteorological-measurements atmospheric-turbulence antarctica

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: (i) Sonic data 6
    Size: 1503238554 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/i_Sonic_data_6.zip
    Description: Ultrasonic anemometer data in the period from 13 to 18 November 2000.

media_type: application/zip

en:
Resource Title: (b) SPC time series
    Size: 149946368 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/b_SPC_time_series.zip
    Description: Data from the snow particle counters with 1-s intervals.

en:
Resource Title: (k) Wind speed profiles
    Size: 302490 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/k_Wind_speed_profiles.zip
    Description: Average vertical profiles of horizontal wind speed based on the ultrasonic anemometer data.

en:
Resource Title: (d) Sonic data 1
    Size: 1825361101 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/d_Sonic_data_1.zip
    Description: Ultrasonic anemometer data in the period from 30 September to 11 October 2000.

en:
Resource Title: (f) Sonic data 3
    Size: 1932735283 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/f_Sonic_data_3.zip
    Description: Ultrasonic anemometer data in the period from 21 to 30 October 2000.

en:
Resource Title: (e) Sonic data 2
    Size: 1932735283 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/e_Sonic_data_2.zip
    Description: Ultrasonic anemometer data in the period from 11 to 21 October 2000.

en:
Resource Title: (g) Sonic data 4
    Size: 1932735283 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/g_Sonic_data_4.zip
    Description: Ultrasonic anemometer data in the period from 30 October to 6 November 2000.

en:
Resource Title: (j) Spike percentage
    Size: 831078 bytes
    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/j_Spike_percentage.csv
    Description: Percentage of spikes removed from the ultrasonic anemometer data per 5-min interval.

format: CSV

media_type: text/csv

en:
Resource Title: (h) Sonic data 5
    Size: 1825361101 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/h_Sonic_data_5.zip
    Description: Ultrasonic anemometer data in the period from 6 to 13 November 2000.

en:
Resource Title: (c) SPC average profiles
    Size: 7235174 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/c_SPC_average_profiles.zip
    Description: Average vertical profiles of the horizontal snow mass flux, particle number size distribution, and mean and standard deviation of the particle diameter.

en:
Resource Title: (a) Metadata
    Size: 113832 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/a_Metadata.zip
    Description: General and specific metadata for all files.

en:
Resource Title: (m) Weather observations
    Size: 16589 bytes
    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/m_Weather_observations.csv
    Description: Weather elements and phenomena observed by the Japanese Meteorological Agency.

en:
Resource Title: (l) AWS data
    Size: 736870 bytes
    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/l_AWS_data.csv
    Description: Automatic weather station data with 10-min intervals.

atmospheric-turbulence

display_name: atmospheric-turbulence

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

meteorological-measurements

display_name: meteorological-measurements


en:
The Jorat is one of the largest continously forested areas in the Swiss Plateau. On a forested area of 778 ha, the Parc Naturel du Jorat (PNJ), a periurban parc, has been established in 2022. To document the initial state of the forest within the perimeter of the PNJ, a sample plot inventory (SPI) was carried out on 132 sample plots (SP) in winter 2021/22.
This dataset contains results from this sample plot inventory. It consists of the following files:
- results_trees.csv: Results for or living and dead trees.
- results_regeneration.csv: Results for trees with DBH - 7.0 cm, assessed in three height classes.
- results_lying_deadwood.csv: Results for lying deadwood, assessed no three line transects
- results_trems.csv: Results for occurence of tree related microhabitats (TreMs)
- results_habitat_trees.csv: Results for occurence / densities of trees carrying at least one TreM or with a DBH -= 80 for living trees or -= 36 cm for dead trees respectively.
- lookup.csv: Contains lookup tables which describe the respective results in-depth.
- data_description.pdf: Briefly describes the datasets mentioned above.

en: Sample plot inventory data form the Parc Naturel du Jorat

en: swiss-plateau forest-in temperate-forests beech forest-reserves

en:
Resource Title: Results habitat trees
    Size: 1098 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/5f308438-a867-4aa0-8e2d-1e8d1f65c423/download/results_habitat_trees.csv
    Description: The file results_habitat_trees.csv contains results for the number of habitat trees.

format: XLS

en:
Resource Title: Results TreMs
    Size: 9840 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/93a5dba0-ae68-482d-bb87-5f5c62538cf3/download/results_trems.csv
    Description: The file results_trems.csv contains results for the density of TreMs per ha.

en:
Resource Title: Results regeneration
    Size: 6112 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/db868a5f-c640-4346-ac88-10e1b7052dba/download/results_regeneration.csv
    Description: The file results_regeneration.csv contains results of the regeneration survey.

en:
Resource Title: Results trees
    Size: 494778 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/008f44a9-3aa7-4cb6-a69c-f11bbd63c8e7/download/results_trees.csv
    Description: The file results_trees.csv contains results of living, standing and lying and dead standing
trees as well as for stumps (trees found on the plot but broken / cut below 1.3 m).

en:
Resource Title: Lookup
    Size: 9034 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/6e728238-c52f-4b72-ae3f-a5109aefbd72/download/lookup.csv
    Description: The file lookup.csv contains description for the values shown in the 5 result tables.

en:
Resource Title: Data description
    Size: 102082 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/f3201ed0-992c-4d3d-a460-1fa1ce4478a0/download/description_envidat.pdf
    Description: This document briefly describes the datasets.

format: PDF

media_type: application/pdf

en:
Resource Title: Results lying deadwood
    Size: 2436 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/b91d79a0-616c-4f60-9a51-b74c9384e0d6/resource/c8f653da-6b07-4949-a7c7-19f9ae1b51e0/download/results_lying_deadwood.csv
    Description: The file results_lying_deadwood.csv contains results of the lying deadwood survey.

beech

display_name: beech

forest-in

display_name: forest-in

forest-reserves

display_name: forest-reserves

swiss-plateau

display_name: swiss-plateau

temperate-forests

display_name: temperate-forests


en:
This data set provides estimates of annual fresh water fluxes related to sea-ice formation from ocean freezing and snow-ice formation, sea-ice melting, lateral transport of sea ice in the Southern Ocean over the period 1982 to 2008.It is derived from a mass balance calculation of local sea-ice volume change and divergence from satellite data and sea-ice reconstructions. The mass balance is calculated on a daily basis and fluxes are then integrated over the entire year, where a year is defined from March to February of the next year (i.e. from March 1982 to February 2009). This approach combines multiple products of sea-ice concentration (Cavalieri & Parkinson, 2008;Comiso, 1986; Meier et al., 2013), sea-ice thickness (Kurtz & Markus, 2012; Massonnet et al., 2013; Worby et al., 2008), and sea-ice drift (Fowler et al., 2013; Kwok 2005; Schwegmann et al., 2011). For a detailed description of the method see Haumann et al. (2016). The data set is derived to estimate large-scale (regional to basin-scale) fluxes on an annual basis. Our confidence is reduced on a grid cell basis, such as for single coastal polynyas, where the method and underlying data induce large, unknown uncertainties.
_Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues._
Related publication: http://www.nature.com/nature/journal/v537/n7618/full/nature19101.html (doi:10.1038/nature19101)
Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues.

en: Antarctic sea-ice freshwater fluxes associated with freezing, transport, and melting

en: freezing transport physical-oceanography sea-ice-divergence salt sea-ice mass-balance satellite freshwater-flux melting forcing polar sea-ice-volume salinity antartic cryospheric-science southern-ocean climate-change

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: AnIceFlux_v01_annual_1982-2008.nc
    Size: 1493303 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/5de37dd3-e6a7-41b4-b97a-21b14734b861/download/aniceflux_v01_annual_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

en:
Resource Title: Explanatory Document
    Size: 379128 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/a2d8430f-dc92-4a03-b3d6-6661b553bdd1/download/aniceflux_v01.pdf
    Description:

en:
Resource Title:  AnIceFlux_v01_clim_mean_1982-2008.nc
    Size: 260945 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/6a315e6d-4c92-4f85-b131-92fd87853b65/download/aniceflux_v01_clim_mean_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

en:
Resource Title: Link to Related Publication
    Size: 1 bytes
    Format: application/pdf
    URL: http://www.nature.com/articles/nature19101.epdf?author_access_token=dtLqMQ3Ss6p16tymoagae9RgN0jAjWel9jnR3ZoTv0PH2BR1NrVw3zxcEnl7ViU5pKp8iHAlc_ntQx82EiRMqFRuGOR0VueOUVoGWzy8lSzML6YUBUMMZ5f4LYCdK8Ca
    Description:

antartic

display_name: antartic

climate-change

display_name: climate-change

cryospheric-science

display_name: cryospheric-science

forcing

display_name: forcing

freezing

display_name: freezing

freshwater-flux

display_name: freshwater-flux

mass-balance

display_name: mass-balance

melting

display_name: melting

physical-oceanography

display_name: physical-oceanography

polar

display_name: polar

salinity

display_name: salinity

salt

display_name: salt

satellite

display_name: satellite

sea-ice

display_name: sea-ice

sea-ice-divergence

display_name: sea-ice-divergence

sea-ice-volume

display_name: sea-ice-volume

southern-ocean

display_name: southern-ocean

transport

display_name: transport


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology
Please cite this paper together with the citation for the datafile.
We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

en: Anthropogenic change and soil net N mineralization

en: fertilization global-change nitrogen ammonification nitrification grassland mineralization herbivore nutrient-network climate soil

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
 - Resch, M.C., Schütz, M., Graf, U., Wagenaar, R., van der Putten, W.H., Risch, A.C. 2019. Does topsoil removal in grassland restoration benefit both soil nematode and plant communities? Journal of Applied Ecology 56: 1782-1793.
Please cite this paper together with the citation for the datafile.
 Methods
 Study area and experimental settings
The study was conducted in a nature reserve (Eigental: 47° 27’ to 47° 29’ N, 8° 37’ E, 461 to 507 m a.s.l.) that is located on the Swiss Central plateau close to Zurich airport (Canton Zurich, Switzerland). The mean annual temperature in this area ranges from 8.9 to 10.6 °C, mean annual precipitation from 910 to 1260 mm [10-year average (2007-2017); MeteoSchweiz, 2018]. The main soil types are calcaric to gleyic Cambisol and Gleysols. The reserve was established in 1967 to protect small remnants of oligotrophic semi-natural grasslands (roughly 12 ha). The plant community can be characterized as Molinion and Mesobromion (semi-wet to semi-dry), depending on the site-specific groundwater level and slope inclination (Delarze, Gonseth, Eggenberg, & Vust, 2015). These remnants represent species-rich islands in an otherwise intensively managed agricultural landscape. Semi-natural grasslands covered an area of 60,000 ha in the Canton Zurich in 1939, however, by 2005 only roughly 600 ha remained (Baudirektion Kanton Zürich, 2007). In 1990, the government of Canton Zurich decided to enlarge the nature reserve Eigental. The goal was to incorporate eleven patches of 20 ha adjacent intensively farmed land and transform these patches into semi-natural grasslands. The patches had a different agricultural history, ranging from permanent (no tillage for -50 years) to temporary grassland (as part of crop rotation; last tillage -5 years). On all freshly integrated patches fertilization was stopped in 1992 and from then on biomass was harvested three times a year and removed. After 5 years without noticeable effects on vegetation composition, the Nature Conservation Agency of Canton Zurich decided to increase the restoration efforts. In 1995, a large-scale experiment was initialized to evaluate if certain treatments can facilitate restoration within a reasonable timeframe of 5 to 10 years after treatment implementation.
The three restoration treatments used were:
i. “Harvest only”: Plots are being mowed two to three times a year and the biomass is removed.
ii. “Topsoil”: Topsoil was removed to a depth of 10 to 20 cm, depending on the depth of the O and A horizon, in four randomly selected areas within each of the eleven patches in late autumn 1995. The size of each topsoil removal area depended on individual patch size and was between 2700 and 7000 m2.
iii. “Topsoil+Propagules”: Propagules from target vegetation were added on half of the area where topsoil was removed, using fresh, seed-containing hay originating from a mixture of semi-dry to semi-wet species-rich grasslands of local provenance (within a radius of 7 km). Hay applications were conducted twice in 1995 and 1996. Repeated applications were chosen to account for the low quantity of available plant material per transfer, since area ratio between receptor and donor sites was roughly 1:1. In addition, hand-collected propagules from 15 selected target species of regional provenance (within a radius of 30 km) were equally applied in 1996 and 1997.
“Topsoil” and “Topsoil+Propagules” plots are mowed once a year, and the biomass is removed. Mowing on these plots started five years after the treatment was implemented.
Eleven permanent plots of 5 m x 5 m were randomly established in each treatment to monitor the vegetation development. The experiment was complemented with 11 control plots that represent the initial state of intensively managed grasslands, further referred to as “Initial”, and 11 control plots that represent the targeted state of donor sites for “Topsoil+Propagules”, further referred to as “Target”. Consequently, the experiment consists of 55 plots (5 treatments x 11 replicates). Management of intensively used grasslands includes mowing and fertilizing (manure) between two to five times a year, as well as different tillage regimes (no tillage for -50 years; last time of tillage -5 years).
 Nematode and plant sampling
Soil nematodes were sampled in 2 m x 2 m plots, randomly established at least 2 m away from the vegetation plots. We collected eight soil cores with a 2.2 cm diameter soil core sampler (Giddings Machine Company, Windsor, CO, USA) to a depth of 12 cm (representing the majority of the plant rooting system) in each plot at the beginning of July 2017. The eight cores within each replicate plot were combined, gently homogenized, placed in coolers and transported to the laboratory of NIOO in Wageningen, the Netherlands, within one week. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriator (Oostenbrink, 1960) and concentrated, resulting in 6 mL nematode solution. The nematode solution was subdivided into three subsamples, two for morphological identification and quantification, and one for molecular work (not used in this study). For morphological identification and quantification, nematodes were heat-killed at 90 °C and fixed in 4 % formaldehyde solution (final volume 10 mL per subsample). All nematodes in 1 mL of formaldehyde solution were counted, and a minimum of 150 individuals per 1 mL sample (or all if less nematodes were present) were identified to family level using Bongers (1988). We then extrapolated the numbers of each nematode taxa identified to the entire sample and expressed them per 100 g dry soil for further analyses.
We calculated number of nematode taxa and Shannon diversity and assessed nematode community composition. In addition, we classified the nematode taxa into feeding types (herbivores, bacterivores, fungivores, omni-carnivores), structural and functional guilds (Table S4). Structural guilds assign nematode taxa according to life-history traits into five colonizer-persister (C-P) classes, ranging from one (early colonizers of new resources) to five (persisters in undisturbed habitats; Bongers 1990). C-P classes can be categorized as indicators for nutrient-enriched (C-P1), stressed (C-P2) and structured (C-P3 + C-P4 + C-P5) soil conditions (Ferris, Bongers, & de Goede, 2001). Functional guilds assign nematode taxa according to their C-P classification combined with their feeding habits (Ferris, Bongers, & de Goede, 2001). Based on the structural and functional guild classification we calculated five additional indices to assess soil nutrient status, disturbance and food web characteristics using NINJA (Sieriebriennikov, Ferris, & de Goede, 2014). 1) The Maturity index indicates the degree of different environmental perturbations (e.g., tillage, nutrient enrichment, pollution) and is used to monitor colonization and subsequent succession after disturbances (Bongers, 1990). 2) The ratio between the Plant Parasite (C-P of herbivorous nematodes only) to Maturity index is used to monitor the recovery of disturbed habitats incorporating information of life-history traits for all feeding types (Bongers, van der Meulen, & Korthals, 1997). 3) The Enrichment index indicates nutrient-enriched soils and agricultural management practices (Ferris, Bongers, & de Goede, 2001). 4) The Structure index provides information about the succession stage of the soil food web and therefore correlates with the degree of maturity of an ecosystem (Ferris, Bongers, & de Goede, 2001). 5) The Channel index provides information about the predominant decomposition pathways, where higher values stand for a higher proportion of energy transformed through the slow fungal decomposition channel (Ferris, Bongers, & de Goede, 2001). In addition, the Structure and Enrichment indices can be displayed in a biplot where nematode assemblages are plotted along a structure (x-axis) and enrichment (y-axis) trajectory (increasing index values). Each biplot quadrat reflects different levels of disturbance, soil nutrient pools and decomposition pathways (Ferris, Bongers, & de Goede, 2001).
The plant surveys were conducted on the 25 m2 permanent plots in June 2017. Plant species cover was visually assessed according to the semi-quantitative cover-abundance scale of Braun-Blanquet (1964; nomenclature: Lauber & Wagner, 1996). We calculated number of species and Shannon diversity, and assessed plant community composition. We also counted the number of target species (all species recorded in the eleven target plots plus propagules of species applied by hand, resulting in a total of 143 species) and categorized plant species into species of concern based on their red list status in Switzerland as well as their protection status in Switzerland and the Canton Zurich (Moser, Gygax, Bäumler, Wyler, & Palese, 2002). Furthermore, we calculated indicator values for soil moisture and soil nutrients for each species according to Landolt et al. (2010).
 References
Baudirektion Kanton Zürich (2007). 10 Jahre Naturschutz-Gesamtkonzept für den Kanton Zürich 1995-2005 – Stand der Umsetzung. Zürich: Baudirektion Kanton Zürich.
Bongers, T. (1988). De nematoden van Nederland. Utrecht: Stichting Uitgeverij Koninklijke Nederlandse Natuurhistorische Vereniging.
Bongers, T. (1990). The maturity index: an ecological measure of environmental disturbance based on nematode species composition. Oecologia, 83, 14-19. doi:10.1007/BF00324627
Bongers, T., van der Meulen, H., & Korthals, G. (1997). Inverse relationship between the nematode maturity index and plant parasite index under enriched nutrient conditions. Applied Soil Ecology, 6, 195-199. doi:10.1016/S0929-1393(96)00136-9
Braun-Blanquet, J. (1964). Pflanzensoziologie, Grundzüge der Vegetationskunde (3rd ed.). Wien: Springer.
Delarze, R., Gonseth, Y., Eggenberg, S., & Vust, M. (2015). Lebensräume der Schweiz: Ökologie - Gefährdung - Kennarten (3rd ed.). Bern: Ott.
Ferris, H., Bongers, T., & de Goede, R.G.M. (2001). A framework for soil food web diagnostics: extension of the nematode faunal analysis concept. Applied Soil Ecology, 18, 13-29. doi:10.1016/S0929-1393(01)00152-4
Landolt, E., Bäumler, B., Erhardt, A., Hegg, O., Klötzli, F., Lämmler, W., … Wohlgemuth, T. (2010). Flora indicativa. Ecological indicator values and biological attributes of the Flora of Switzerland and the Alps (2nd ed.). Bern: Haupt.
Lauber, K., & Wagner, G. (1996). Flora Helvetica. Flora der Schweiz. Bern: Haupt.
MeteoSchweiz (2018). Klimabulletin Jahr 2017, Zürich: MeteoSchweiz.
Moser, D., Gygax, A., Bäumler, B., Wyler, N., & Palese, R. (2002) Rote Liste der gefährteten Farn- und Blütenpflanzen der Schweiz. Bern: BUWAL.
Oostenbrink, M. (1960). Estimating nematode populations by some selected methods. In N.J. Sasser & W.R. Jenkins (Eds.), Nematology (pp. 85-101). Chapel Hill: University of North Carolina Press.
Sieriebriennikov, B., Ferris, H., & de Goede, R.G.M (2014). NINJA: An automated calculation system for nematode-based biological monitoring. European Journal of Soil Biology, 61, 90-93. doi:10.1016/j.ejsobi.2014.02.004

en: Grassland restoration: nematodes and plant communities

en: diversity vegetation nematodes restoration topsoil-removal grassland long-term-experiment

en:
Resource Title: Nematode families
    Size: 28500 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/82bd6601-d124-4e6d-9508-696b79afe53a/download/nematodes_community.composition_family.level.xlsx
    Description: Plot: Plot ID combining treatment code and plot number (in total 55 plots)

Treatment: Three restoration treatments and two reference treatments. Initial=intensively managed grasslands; Harvest only= multiple hay harvest (2-3 times) per years; Topsoil= Topsoil removal (upper 10-30 cm); Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Target= species-rich ancient grasslands

column 3-41: Nematode abundance (individuals per 100g dry soil) per family; nomenclature according to Bongers 1988

en:
Resource Title: Nematode colonizer-persister classes
    Size: 14565 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/b7005b87-699b-4ff1-8c59-82c49ae96d5e/download/nematodes_community.composition_colonizer.persister.level.xlsx
    Description: Plot: Plot ID combining treatment code and plot number (in total 55 plots)

Treatment: Three restoration treatments and two reference treatments. Initial=intensively managed grasslands; Harvest only= multiple hay harvest (2-3 times) per years; Topsoil= Topsoil removal (upper 10-30 cm); Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Target= species-rich ancient grasslands

CP1.a: C-P (colonizer-persister) class 1 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990; equivalent to enrichment indicators according to Ferris, Bongers, & de Goede 2001
CP2.a: C-P (colonizer-persister) class 2 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990; equivalent to stress indicators according to Ferris, Bongers, & de Goede 2001
CP3.a: C-P (colonizer-persister) class 3 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990
CP4.a: C-P (colonizer-persister) class 4 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990
CP5.a: C-P (colonizer-persister) class 5 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990

en:
Resource Title: Nematode feeding types
    Size: 20512 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/f782653d-25d4-45c6-bf9a-64d921bba0cc/download/nematodes_community.composition_feedingtype.level.xlsx
    Description: Plot: Plot ID combining treatment code and plot number (in total 55 plots)

Treatment: Three restoration treatments and two reference treatments. Initial=intensively managed grasslands; Harvest only= multiple hay harvest (2-3 times) per years; Topsoil= Topsoil removal (upper 10-30 cm); Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Target= species-rich ancient grasslands

He.ecto.a: Herbivorous ectoparasite nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

He.endo.a: Herbivorous endoparasite nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Ba.a: Bacterivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Fu.a: Fungivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Om.a: Omnivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Ca.a: Carnivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

en:
Resource Title: Plant community composition (plant species)
    Size: 64984 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/783ee905-958a-4e63-b1eb-6de2dc5b44e1/download/plant_community.composition_species.level.xlsx
    Description: Plot: Plot ID combining treatment code and plot number (in total 55 plots)

Treatment: Three restoration treatments and two reference treatments. Initial=intensively managed grasslands; Harvest only= multiple hay harvest (2-3 times) per years; Topsoil= Topsoil removal (upper 10-30 cm); Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Target= species-rich ancient grasslands

column 3-252: Plant abundance per species (in total 252 plant species) expressed as cover percentage estimation according to van der Maarel (vdM 1979; 7 classes: 1-7); nomenclature  according to Lauber & Wagner (1996)

en:
Resource Title: Correction_Nematodes_vegetation_20200131.xlsx
    Size: 39601 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/f13545be-edc5-41fd-86db-0d8a3ea9c16b/download/correction_nematodes_vegetation_20200131.xlsx
    Description: Coordinates of one research plot were wrong. This was corrected in the current version of the file.

en:
Resource Title: Nemadotes and vegetation
    Size: 34575 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c0d0f316-cf15-405f-aca8-bf5167724fbe/resource/f6b57e7e-0d1c-4701-bd0a-695af2744f75/download/nematodes_vegetation.xlsx
    Description: Plot: Plot ID combining treatment code and plot number (in total 55 plots)

Treatment: Three restoration treatments and two reference treatments. Initial=intensively managed grasslands; Harvest only= multiple hay harvest (2-3 times) per years; Topsoil= Topsoil removal (upper 10-30 cm); Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Target= species-rich ancient grasslands

X: X-Coordinate

Y: Y-Coordinate

Ri.veg: Total number of plant species

Div.veg: Shannon diversity of plant species

Ri.nem: Total number of nematode families

Div.nem: Shannon diversity of nematode families

abund: Total nematode abundance (individuals per 100g dry soil)

MI: Maturity index according to Bongers 1990; calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

PPI: Plant parasite index according to Bongers 1990; calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

PPI.MI: Plant parasite to Maturity index according to Bongers, van der Meulen, & Korthals 1997; calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

CI: Channel index according to Ferris, Bongers, & de Goede 2001 (%); calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

EI: Enrichment index according to Ferris, Bongers, & de Goede 2001 (%); calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

SI: Structure index according to Ferris, Bongers, & de Goede 2001 (%); calculations done in online tool NINJA (Sieriebriennikov, Ferris, & de Goede, 2014)

He.a: Herbivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

He.ecto.a: Herbivorous ectoparasite nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

He.endo.a: Herbivorous endoparasite nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Ba.a:  Bacterivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Fu.a: Fungivorous  nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Om.a: Omnivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Ca.a: Carnivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014

Om.Ca.a	Sum of omnivorous and carnivorous nematode abundance (individuals per 100g dry soil); classification according to Sieriebriennikov, Ferris, & de Goede, 2014
CP1.a: C-P (colonizer-persister) class 1 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990; equivalent to enrichment indicators according to Ferris, Bongers, & de Goede 2001

CP2.a: C-P (colonizer-persister) class 2 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990; equivalent to stress indicators according to Ferris, Bongers, & de Goede 2001

CP3.a: C-P (colonizer-persister) class 3 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990

CP4.a: C-P (colonizer-persister) class 4 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990

CP5.a: C-P (colonizer-persister) class 5 nematode abundance (individuals per 100g dry soil); C-P classification according to Bongers 1990

CP3-5.a: Sum of C-P3, C-P4 and C-P5 nematode abundance (individuals per 100g dry soil) equivalent to structure indicators according to Ferris, Bongers, & de Goede 2001

protect.sp.pro: plant species categorized into species of concern based on their red list status in Switzerland as well as their protection status in Switzerland and the Canton Zurich (Moser, Gygax, Bäumler, Wyler, & Palese, 2002)

tar.sp: Number of target species (all species recorded in the eleven target plots plus propagules of species applied by hand, resulting in a total of 143 species)

Indi.moist: Plant indicator values for soil moisture according to Landolt et al. 2010

Indi.nutri: Plant indicator values for soil nutrients according to Landolt et al. 2010

Management: level of mowing and manuring frequency (35-40 kg N ha-1 application-1); intensity1 = mowing once and no manure; intensity2 = 2-3 times mowing and no manure; intensity3 = 2-3 times mowing and manuring; intensity4 = 4-5 times mowing and manuring

Tillage: last time of tillage

Land.use.history: for Initial plots = recent agricultural use; for all restored sites = agricultural use before restoration
Mowing	earliest date of biomass harvesting (excluding “Initial”) based on contracts between farmers and the Nature Protection Agency of Zurich

Soil.type: based on soil mapping survey 1991 (before restoration)

Soil.texture: determined by the sediment method (Gee & Bauder 1986) and classified into soil textural classes according to FAO (1990)

pH: soil pH (CaCl2)

Slope: slope gradient classes according to FAO (1990; %)

diversity

display_name: diversity

long-term-experiment

display_name: long-term-experiment

nematodes

display_name: nematodes

restoration

display_name: restoration

topsoil-removal

display_name: topsoil-removal

vegetation

display_name: vegetation


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards

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

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Data plot of the forest station (NOB)
    Size: 284094 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/02358b22-ed7e-4a9a-962e-baebc6b6f3ab/download/nobplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site photo of the forest station (NOB)
    Size: 730076 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/713fbe23-a37a-43f4-a0fd-6210d2e6b998/download/nob.jpg
    Description: Site photo of the forest station from the side.

en:
Resource Title: Site aerial photo (Novaggio)
    Size: 6966649 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/2d0020ad-1764-4b92-b5ce-32e0e19b59ce/download/nofront.jpg
    Description: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en:
Resource Title: Site photo of the field station (NOF)
    Size: 10716874 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/a9a344ff-1bb5-4cce-8181-782d9fcdfc97/download/nof.jpg
    Description: Site photo of the field station from the side.

en:
Resource Title: Forest station data (NOB)
    Size: 11388367 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/cfcaf24a-9db8-4c9e-a199-feb4b81525da/download/nobforest.csv
    Description: Data file.

en:
Resource Title: Data plot of the field station (NOF)
    Size: 323553 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/109222cc-7332-4d1b-bca0-a7720535c593/download/nofplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Field station data (NOF)
    Size: 11304975 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/c233f5ad-47f9-42f2-99f4-f7eb776d030c/download/noffield.csv
    Description: Data file.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en: Compulsory daily sickness allowance insurance - Number of daily allowances by Year and Waiting period

de: Obligatorische Krankengeldversicherung - Anzahl ausbezahlte Taggelder bei Jahr und Wartefrist

de: Obligatorische Krankengeldversicherung - Anzahl ausbezahlte Taggelder nach Wartefrist seit 2005

en: Compulsory daily sickness allowance insurance - Number of daily allowances by waiting period since 2005

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Amt für Statistik

en: Office of Statistics

value: DCAT Harvester Amt für Statistik FL

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

en: Data structure in German

de: Datenstruktur auf Deutsch

format: JSON

media_type: application/json

en: Data structure in English

de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

en: Data cube in English

format: HTML

media_type: text/html

de: Datenwürfel auf Deutsch

en: Data cube in German

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer


en: Compulsory daily sickness allowance insurance - Paid daily allowances in CHF by Year and Waiting period

de: Obligatorische Krankengeldversicherung - Ausbezahlte Taggelder in CHF bei Jahr und Wartefrist

de: Obligatorische Krankengeldversicherung - Ausbezahlte Taggelder in CHF nach Wartefrist seit 2005

en: Compulsory daily sickness allowance insurance - Paid daily allowances in CHF by waiting period since 2005


en: Compulsory health care insurance - Health insurance companies by Year and Number of insured persons

de: Obligatorische Krankenpflegeversicherung - Versicherer bei Jahr und Versichertenbestand

de: Obligatorische Krankenpflegeversicherung - Versicherer nach Versichertenbestand seit 2001

en: Compulsory health care insurance - Insurance companies by number of insured persons since 2001


en: Compulsory health care insurance - Key figures of profit and loss accounts in CHF by Year, Unit, Group of persons, Key figures of profit and loss accounts and Type of insurance

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF bei Jahr, Einheit, Personengruppe, Schlüsselzahlen der Betriebsrechnung und Versicherungsform

de: Obligatorische Krankenpflegeversicherung - Schlüsselzahlen der Betriebsrechnung in CHF nach Versicherungsform, Einheit und Personengruppe seit 2001

en: Compulsory health care insurance - key figures of profit and loss accounts in CHF by type of insurance, unit and group of persons since 2001


en: Compulsory health care insurance - General government contributions in CHF by Year and Recipient

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF bei Jahr und Empfänger

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF nach Empfänger seit 2001

en: Compulsory health care insurance - General government contributions in CHF by recipient since 2001


en: Compulsory health care insurance - Gross expenditure in CHF and CHF per capita by Year, Unit and Category

de: Obligatorische Krankenpflegeversicherung - Bruttoleistungen in CHF und CHF pro Person bei Jahr, Einheit und Kategorie

de: Obligatorische Krankenpflegeversicherung - Bruttoleistungen in CHF und CHF pro Person nach Kategorie seit 2004

en: Compulsory health care insurance - Gross expenditure in CHF and CHF per capita by category since 2004


en: Compulsory health care insurance - Insured persons as of December 31st by Year, Group of persons and Sex

de: Obligatorische Krankenpflegeversicherung - Versicherte per 31. Dezember bei Jahr, Personengruppe und Geschlecht

de: Obligatorische Krankenpflegeversicherung - Versicherte per 31. Dezember nach Personengruppe seit 2001

en: Compulsory health care insurance - Insured persons as of December 31st by group of persons since 2001

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Amt für Statistik

en: Office of Statistics


en: All types of insurance - Reserve assets of insurance companies in CHF by Year and Type of insurance

de: Alle Versicherungsarten - Reserven der Versicherer in CHF bei Jahr und Versicherungsart

de: Alle Versicherungsarten - Reserven der Versicherer in CHF nach Versicherungsart seit 2004

en: All types of insurances - Reserve assets of insurances in CHF by type of insurance since 2004

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

en: Data structure in English

de: Datenstruktur auf Englisch

en: Data structure in German

de: Datenstruktur auf Deutsch


en: All types of insurance - Profit and loss accounts in CHF by Year, Key figure and Type of insurance

de: Alle Versicherungsarten - Betriebsrechnung in CHF bei Jahr, Kennzahl und Versicherungsart

de: Alle Versicherungsarten - Betriebsrechnung in CHF nach Kennzahl und Versicherungsart seit 2001

en: All types of insurances - Profit and loss accounts in CHF by key figure and type of insurance since 2001

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenwürfel auf Englisch

en: Data cube in English


wolfshinweise

de: Auf der Karte werden die gemeldeten Hinweise zu Wolfsichtungen in den letzten zwölf Monaten dargestellt. Dabei wird unterschieden zwischen sicheren Hinweisen, solchen die belegt werden können, z.B. mit einem Foto, und solchen die möglich sind. Anhand der Transparenz der Punkte in der Karte, wird ersichtlich wie aktuell die Sichtung ist, je älter, desto schwächer wird der Punkt dargestellt.

de: Wolfshinweise

amt-geoinformation-sz

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schwyz als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

de: Amt für Geoinformation Kanton Schwyz

political_level: canton

de: SZ Amt für Wald und Natur

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: Kanton Schwyz (SZ)

title_for_slug: wolfshinweise

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

envi

de: Umwelt

en: Environment

de: Wildtiere: Wolf

de: Informationsseite Wolf

de: Hinweise auf Grossraubtiere

de: Hinweise Grossraubtiere.xlsx

value: SZ-Kt Geoinformation - Geocat Harvester


de: Schulferienkalender Kanton Basel-LandschaftDie Regelung der Schulferien gilt für die Volksschulen, Musikschulen, weiterführenden Schulen und Berufsfachschulen im Kanton Basel-Landschaft, mit Ausnahme des Regionalen Gymnasiums Laufental-Thierstein. Sie beruht auf Entscheiden des Regierungsrats gemäss § 87 Buchstabe d des [Bildungsgesetzes des Kantons Basel-Landschaft](https://bl.clex.ch/app/de/texts_of_law/640).Der Kalender kann als iCalendar-Datei (.ics) heruntergeladen werden.[Vollständiger Kalender](https://fkd-sta-files.bl.ch/ogd/schulferien/Schulferienkalender_BL.ics)[Kalender ohne Regionales Gymnasium Laufental-Thierstein (Ausnahmeregelung)](https://fkd-sta-files.bl.ch/ogd/schulferien/Schulferienkalender_BL_ohne_Ausnahmeregelung.ics)

de: schulferien schulbeginn volksschule primarschule sekundarschule musikschule gymnasium berufsfachschule kalender ferien urlaub

kanton-basel-landschaft

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/

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

fr: Canton de Bâle-Campagne

it: Cantone di Basilea-Campagna

de: kanton-basel-landschaft

value: BL - DCAT

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (csv)

de: csv

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (json)

de: json

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (jsonl)

de: jsonl

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (parquet)

de: parquet

format: PARQUET

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (rdfxml)

de: rdfxml

format: RDF XML

media_type: application/rdf+xml

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (jsonld)

de: jsonld

format: JSON-LD

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (turtle)

de: turtle

format: RDF Turtle

media_type: text/turtle

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (n3)

de: Schulferien Kanton Basel-Landschaft (2025/2026 - 2031/2032) (xls)

de: xls

berufsfachschule

display_name: berufsfachschule

ferien

display_name: ferien

gymnasium

display_name: gymnasium

kalender

display_name: kalender

musikschule

display_name: musikschule

primarschule

display_name: primarschule

schulbeginn

display_name: schulbeginn

schulferien

display_name: schulferien

sekundarschule

display_name: sekundarschule

urlaub

display_name: urlaub

volksschule

display_name: volksschule


inventar-hauptarchiv-des-stadtarchivs

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

de: Inventar Hauptarchiv des Stadtarchivs

de: archiv archivdaten geschichte glam openglam stadtrat

stadt-zurich

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

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

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

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

de: Stadt Zürich

en: City of Zurich

fr: Ville de Zurich

it: Cità di Zurigo

political_level: commune

title_for_slug: inventar-hauptarchiv-des-stadtarchivs

value: ZH - DCAT Harvester

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

format: OCTET

archiv

display_name: archiv

archivdaten

display_name: archivdaten

geschichte

display_name: geschichte

glam

display_name: glam

openglam

display_name: openglam

stadtrat

display_name: stadtrat


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

de: Informationen zur Zugänglichkeit öffentlicher Gebäude der Stadt Zürich

de: api barrierefreiheit gebaeude github parkplatz rollstuhl tabelle wc zugaenglichkeit

name: Immobilien Stadt Zürich, Hochbaudepartement

heal

de: Gesundheit

en: Health

api

display_name: api

barrierefreiheit

display_name: barrierefreiheit

gebaeude

display_name: gebaeude

github

display_name: github

parkplatz

display_name: parkplatz

rollstuhl

display_name: rollstuhl

tabelle

display_name: tabelle

wc

display_name: wc

zugaenglichkeit

display_name: zugaenglichkeit


brunnenfotos-der-stadt-zurich

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

de: Brunnenfotos der Stadt Zürich

de: bilder brunnen fotos github trinkwasser wasserversorgung

name: Wasserversorgung, Departement der Industriellen Betriebe

title_for_slug: brunnenfotos-der-stadt-zurich

bilder

display_name: bilder

brunnen

display_name: brunnen

fotos

display_name: fotos

trinkwasser

display_name: trinkwasser

wasserversorgung

display_name: wasserversorgung


kamerun-sammlungen-am-mrz

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

de: Kamerun Sammlungen am MRZ

de: kamerun provenienzforschung sammler github

name: Museum Rietberg Zürich, Präsidialdepartement

title_for_slug: kamerun-sammlungen-am-mrz

educ

de: Bildung, Kultur und Sport

kamerun

display_name: kamerun

provenienzforschung

display_name: provenienzforschung

sammler

display_name: sammler


hohenmodell-der-felsoberflache

name: Bundesamt für Landestopografie swisstopo

de: Das nationale Höhenmodell der Felsoberfläche stellt die Felsoberfläche dar, bzw. der Basis der Lockergesteine. Das Modell hat eine Rasterzellengrösse von 10 x 10 m und gibt die Höhe in Metern über dem Meeresspiegel an. Das Höhenmodell der Felsoberfläche (BEM) ist Teil des grösseren Datensatzes swissBEDROCK, der neben dem Mächtigkeitsmodell des Lockergesteins (TMUD) auch Unsicherheitsschätzungen und Änderungen gegenüber früheren Versionen enthält. Der vollständige Datensatz swissBEDROCK kann hier heruntergeladen oder auf viewer.swissgeol.ch zellenweise angezeigt und abgefragt werden. Das Modell besteht aus Daten Dritter und aus Teilen, die vom Bundesamt für Landestopografie modelliert wurden. Eine Datei mit Versionshinweisen enthält detaillierte Angaben zur Herkunft und zu den Eigenschaften der verschiedenen Modellkomponenten. Weitere Informationen zur Methodik und zum Arbeitsablauf finden Sie in der Modellbeschreibung. 3D-Modelle stellen Vereinfachungen der realen Geologie dar. Der Nutzer anerkennt, dass die Autoren alle zumutbaren Aufwände unternommen haben, um die Informationen im geologischen 3D-Modell zu verifizieren. Es gibt keine Garantie, dass die angegebenen Daten an einem bestimmten Punkt im Untergrund korrekt sind. Der Herausgeber ist unter keinen Umständen für jegliche Verluste oder Schäden materieller oder immaterieller Art haftbar, welche aus dem Zugriff auf, die Nutzung oder Nichtnutzung der veröffentlichen Informationen, durch Missbrauch oder technische Störungen entstehen.

fr: Le modèle national d’altitude du toit du rocher représente la surface du socle rocheux, qui correspond également à la base des terrains meubles. Le modèle a une taille de maille de 10 x 10 m et indique l'altitude en mètres au-dessus du niveau de la mer. Le modèle d’altitude du toit du rocher (BEM) fait partie du jeu de données plus vaste swissBEDROCK, qui comprend également le modèle d'épaisseur des terrains meubles (TMUD), des indications sur les d'incertitudes et les changements par rapport aux versions précédentes. Le jeu de données complet swissBEDROCK peut être téléchargé ici ou consulté et interrogé cellule par cellule sur viewer.swissgeol.ch. Le modèle se compose de données fournies par des tiers et de parties modélisées par l'Office fédéral de topographie. Un fichier de notes de version détaillant l'origine et les caractéristiques des différents composants du modèle est fourni. Vous trouverez de plus amples informations sur la méthodologie et le déroulement des travaux dans la description du modèle. Les modèles 3D représentent des simplifications des paramètres géologiques réels. L'utilisateur reconnaît que les auteurs ont fait tous les efforts raisonnables pour vérifier les informations contenues dans le modèle géologique 3D présenté. Il n'y a aucune garantie que les données soient correctes à un point donné du sous-sol. En aucun cas, l'éditeur ne sera responsable des pertes ou dommages de nature matérielle ou immatérielle résultant de l'accès à l'information publiée, de son utilisation ou de sa non-utilisation, d'une mauvaise utilisation ou de défauts techniques.

it: Il modello nazionale di altitudine del tetto del substrato roccioso rappresenta la superficie del substrato, corrispondente alla basei dei depositi sciolti. Il modello ha una risoluzione di 10 × 10 m per cella raster e riporta l’altitudine in metri sul livello del mare. Il modello di altitudine del tetto del substrato roccioso (BEM) fa parte del più ampio dataset swissBEDROCK, che include anche il modello di spessore dei depositi sciolti (TMUD). le stime di incertezza e i confronti con le versioni precedenti. L’intero dataset può essere scaricato qui o visualizzato e interrogato cella per cella su viewer.swissgeol.ch. Il modello integra dati forniti da enti esterni con componenti sviluppati dall’Ufficio federale di topografia. È disponibile un file con le note di rilascio della versione che fornisce dettagli sull’origine e le caratteristiche dei diversi componenti del modello. Ulteriori informazioni sulla metodologia e sul flusso di lavoro sono riportate nella descrizione del modello. I modelli 3D rappresentano semplificazioni dei parametri geologici reali. L'utente riconosce che gli autori hanno applicato tutti gli sforzi ragionevoli per verificare le informazioni contenute nel modello geologico 3D presentato. Non c'è alcuna garanzia che i dati siano corretti in qualsiasi punto del sottosuolo. In nessun caso l'editore sarà responsabile per qualsiasi perdita o danno di natura materiale o immateriale derivante dall'accesso, uso o non uso, abuso o difetti tecnici delle informazioni pubblicate.

en: The national bedrock elevation model represents the bedrock surface, which also corresponds to the base of the unconsolidated deposits. The model has a 10 x 10 m raster cell size and shows the altitude in meters above sea level. The bedrock elevation model (BEM) is part of the larger swissBEDROCK dataset, which also includes the thickness model of unconsolidated deposits (TMUD), uncertainty estimates and changes compared to previous versions. The full swissBEDROCK dataset can be downloaded here or viewed and queried on viewer.swissgeol.ch on a cell basis. The model consists of data provided by third parties and parts that have been modelled by the Federal Office of Topography. A release notes file is provided detailing the origin and characteristics of the various model components. More information on the methodological overview and workflow can be found in the model description. 3D models represent a simplification of the real geological settings. The user acknowledges that the authors have taken every reasonable effort to ensure that information contained in the presented 3D geological model is as accurate as possible. There is no guarantee that the given data related to a definite point in the subsurface is accurate. Under no circumstances will the publisher be liable for any loss or damage of a material or immaterial nature arising from access to, use or non-use of published information, or from misuse or technical breakdown.

de: Höhenmodell der Felsoberfläche

fr: Modèle d’altitude du toit du rocher

it: Modello di altitudine del tetto del substrato roccioso

en: Bedrock elevation model

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

en: Federal Office of Topography swisstopo

fr: Office fédéral de topographie swisstopo

it: Ufficio federale di topografia swisstopo

political_level: confederation

de: geocat.ch Permalink

spatial: Schweiz

title_for_slug: hohenmodell-der-felsoberflache

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

envi

de: Umwelt

de: Vorschau map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

it: Previsione map.geo.admin.ch

en: Preview map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

fr: Map (Preview) Aperçu map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

en: Map (Preview) map.geo.admin.ch

format: SERVICE

de: WMS-BGDI Dienst, Layer "Höhenmodell der Felsoberfläche"

fr: Service WMS-IFDG, couche "Modèle d`altitude du toit du rocher"

it: Servizio WMS-IFDG, strato "Altitudine del substrato roccioso"

en: WMS-FSDI service, layer "Bedrock elevation model"

format: WMS

de: WMTS-BGDI Dienst, Layer "Höhenmodell der Felsoberfläche"

fr: Service WMTS-IFDG, couche , Layer "Modèle d'altitude du toit du rocher"

it: Servizio WMTS-IFDG, strato "Altitudine del substrato roccioso"

en: WMTS-FSDI service, layer "Bedrock elevation model"

format: WMTS

de: Produkte- und Bestellinformationen

fr: Informations sur la commande et de produit

it: Informazioni sul prodotto e opzioni di ordinazione

en: Product information and ordering options

de: Download

fr: Téléchargement

it: Download

en: Download

de: swisstopo: Daten der Landesgeologie

fr: swisstopo: Données du Service géologique national

it: swisstopo: Dati del Servizio geologico nazionale

en: swisstopo: Data of the Swiss Geological Survey

de: RESTful API von geo.admin.ch

fr: RESTful API de geo.admin.ch

it: RESTful API da geo.admin.ch

en: RESTful API from geo.admin.ch

format: API

value: Swisstopo - Geocat Harvester


machtigkeitsmodell-des-lockergesteins

de: Das nationale Mächtigkeitsmodell des Lockergesteins beschreibt die Mächtigkeit des Lockergesteins in Metern und hat eine Rasterzellengrösse von 10 x 10 m. Dieses Produkt wird aus dem Höhenmodell der Felsoberfläche abgeleitet. Durch Subtraktion des Höhenmodells der Felsoberfläche vom Basis-Geländemodell ergibt die Lockergesteinsmächtigkeit. Das dem Basis-Geländemodell ist eine Kombination aus swissALTI3D, swissBATHY3D und der GLAMOS-Gletscherbasis. Das Mächtigkeitsmodell des Lockergesteins ist Teil des grösseren Datensatzes swissBEDROCK, der auch das Höhenmodell der Felsoberfläche (BEM), Unsicherheitsschätzungen und Änderungen gegenüber früheren Versionen enthält. Der vollständige Datensatz swissBEDROCK kann hier heruntergeladen oder auf viewer.swissgeol.ch zellenweise angezeigt und abgefragt werden. Das Modell besteht aus Daten Dritter und aus Teilen, die vom Bundesamt für Landestopografie modelliert wurden. Eine Datei mit Versionshinweisen enthält detaillierte Angaben zur Herkunft und zu den Eigenschaften der verschiedenen Modellkomponenten. Weitere Informationen zur Methodik und zum Arbeitsablauf finden Sie in der Modellbeschreibung. 3D-Modelle stellen Vereinfachungen der realen Geologie dar. Der Nutzer anerkennt, dass die Autoren alle zumutbaren Aufwände unternommen haben, um die Informationen im geologischen 3D-Modell zu verifizieren. Es gibt keine Garantie, dass die angegebenen Daten an einem bestimmten Punkt im Untergrund korrekt sind. Der Herausgeber ist unter keinen Umständen für jegliche Verluste oder Schäden materieller oder immaterieller Art haftbar, welche aus dem Zugriff auf, die Nutzung oder Nichtnutzung der veröffentlichen Informationen, durch Missbrauch oder technische Störungen entstehen.

fr: Le modèle national d'épaisseur des terrains meubles décrit l'épaisseur des terrains meubles en mètres avec une taille de cellule de 10 x 10 m. Ce produit est dérivé du modèle d’altitude du toit du rocher. La soustraction de la surface du substratum rocheux du modèle de terrain de base fournit l'épaisseur des terrains meubles. Le terrain de base est une combinaison du swissALTI3D, swissBATHY3D et de la surface de base des glaciers GLAMOS. Le modèle d'épaisseur des terrains meubles fait partie du jeu de données plus vaste swissBEDROCK, qui comprend également le modèle d’altitude du toit du rocher (BEM), des indications sur les incertitudes et les changements par rapport aux versions précédentes. L'ensemble complet des données swissBEDROCK peut être téléchargé ici ou consulté et interrogé cellule par cellule sur viewer.swissgeol.ch. Le modèle se compose de données fournies par des tiers et de parties modélisées par l'Office fédéral de topographie. Un fichier de notes de version détaillant l'origine et les caractéristiques des différents composants du modèle est fourni. Vous trouverez de plus amples informations sur la méthodologie et le déroulement des travaux dans la description du modèle. Les modèles 3D représentent des simplifications des paramètres géologiques réels. L'utilisateur reconnaît que les auteurs ont fait tous les efforts raisonnables pour vérifier les informations contenues dans le modèle géologique 3D présenté. Il n'y a aucune garantie que les données soient correctes à un point donné du sous-sol. En aucun cas, l'éditeur ne sera responsable des pertes ou dommages de nature matérielle ou immatérielle résultant de l'accès à l'information publiée, de son utilisation ou de sa non-utilisation, d'une mauvaise utilisation ou de défauts techniques.

it: Il modello nazionale di spessore dei depositi sciolti fornisce la distribuzione dello spessore dei sedimenti in metri, con una risoluzione di 10 × 10 m per cella raster. Questo prodotto deriva dal modello di elevazione del substrato roccioso: la differenza tra la superficie del substrato e il modello del terreno di base permette infatti di calcolare lo spessore dei depositi sciolti. Il terreno di base è ottenuto dall’integrazione di swissALTI3D, swissBATHY3D e del la base dei ghiacciai GLAMOS. Il modello di spessore dei depositi sciolti costituisce una parte del dataset più ampio swissBEDROCK, che comprende anche il modello altitudine del tetto del substrato roccioso (BEM) le stime di incertezza e i confronti con le versioni precedenti. L’intero dataset può essere scaricato qui o visualizzato e interrogato cella per cella su viewer.swissgeol.ch. Il modello integra dati forniti da enti esterni con componenti sviluppati dall’Ufficio federale di topografia. È disponibile un file con le note di rilascio della versione che fornisce dettagli sull’origine e le caratteristiche dei diversi componenti del modello. Ulteriori informazioni sulla metodologia e sul flusso di lavoro sono riportate nella descrizione del modello. I modelli 3D rappresentano semplificazioni dei parametri geologici reali. L'utente riconosce che gli autori hanno applicato tutti gli sforzi ragionevoli per verificare le informazioni contenute nel modello geologico 3D presentato. Non c'è alcuna garanzia che i dati siano corretti in qualsiasi punto del sottosuolo. In nessun caso l'editore sarà responsabile per qualsiasi perdita o danno di natura materiale o immateriale derivante dall'accesso, uso o non uso, abuso o difetti tecnici delle informazioni pubblicate.

en: The national thickness model of unconsolidated deposits describes the thickness of the unconsolidated deposits in meters with a 10 x 10 m raster cell size. This product is derived from the bedrock elevation model. The subtraction of the bedrock surface from the base terrain model provides the thickness of the unconsolidated deposits. The base terrain is a combination of swissALTI3D, swissBATHY3D and the GLAMOS glacier base. The thickness model of unconsolidated deposits is part of the larger swissBEDROCK dataset, which also includes the bedrock elevation model (BEM), uncertainty estimates, and changes compared to previous versions. The full swissBEDROCK dataset can be downloaded here or viewed and queried on viewer.swissgeol.ch on a cell basis. The model consists of data provided by third parties and parts that have been modelled by the Federal Office of Topography. A release notes file is provided detailing the origin and characteristics of the various model components. More information on the methodological overview and workflow can be found in the model description. 3D models represent a simplification of the real geological settings. The user acknowledges that the authors have taken every reasonable effort to ensure that information contained in the presented 3D geological model is as accurate as possible. There is no guarantee that the given data related to a definite point in the subsurface is accurate. Under no circumstances will the publisher be liable for any loss or damage of a material or immaterial nature arising from access to, use or non-use of published information, or from misuse or technical breakdown.

de: Mächtigkeitsmodell des Lockergesteins

fr: Modèle d’épaisseur des terrains meubles

it: Modello di spessore dei depositi sciolti

en: Thickness model of unconsolidated deposits

de: Bundesamt für Landestopografie swisstopo

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

title_for_slug: machtigkeitsmodell-des-lockergesteins

envi

en: Environment

fr: Environnement

it: Ambiente

de: WMS-BGDI Dienst, Layer "Mächtigkeit des Lockergesteins"

fr: Service WMS-IFDG, couche "Épaisseur des terrains meubles"

it: Servizio WMS-IFDG, strato "Spessore dei depositi sciolti"

en: WMS-FSDI service, layer "Thickness of unconsolidated deposits"

de: WMTS-BGDI Dienst, Layer "Mächtigkeit des Lockergesteins"

fr: Service WMTS-IFDG, couche , Layer "Épaisseur des terrains meubles"

it: Servizio WMTS-IFDG, strato "Spessore dei depositi sciolti"

en: WMTS-FSDI service, layer "Thickness of unconsolidated deposits"


ziegeleirohstoffe-abbau

de: Dieser Datensatz zeigt die in Betrieb stehenden sowie stillgelegten Abbaustandorte der Ziegelindustrie in der Schweiz. Ton, Mergel und teilweise auch Sand sind die wichtigsten Rohstoffe für die Herstellung von Ziegeleiprodukten wie Backsteine und Dachziegel sowie für die Keramikindustrie. Eine Übersicht der Rohstoffvorkommen ist im Massstab 1:500’000 dargestellt. Für detaillierte geologischen Informationen im Massstab 1:25’000 konsultieren Sie bitte den Datensatz swissGEOCOVER2D. Für eine Standortentwicklung eines Rohstoffabbaus ist eine detaillierte geologische Untersuchung der Vorkommen vor Ort unumgänglich. Die Perimeter der aktiven Abbaustellen sind als Hinweis zu verstehen. Diese basieren auf dem Topografischen Landschaftsmodell (TLM) und SWISSIMAGE-Luftbilder. Für detaillierte Angaben zu den Abbauaktivitäten wenden Sie sich bitte an die zuständigen kantonalen Behörden. Diese Karte wird periodisch aktualisiert und hat keinen Anspruch auf Vollständigkeit.

fr: Ce jeu de données montre les sites d’extraction et de production en activité ou désaffectés de l’industrie de la terre cuite. L'argile, la marne et parfois le sable sont les matières premières nécessaire à la fabrication de briques et tuiles, ainsi qu’à l'industrie céramique. Une vue d’ensemble de ces gisements est représentée à l’échelle 1:500'000. Pour plus d’informations détaillées concernant la géologie à l’échelle 1:25'000, veuillez vous référer au jeu de donnée swissGEOCOVER2D. Dans le cas où il est envisagé de développer un site d’extraction de matières premières, il est indispensable de procéder à une étude géologique détaillée sur place. Les périmètres des sites d'extraction en activité sont à considérer comme indicatifs. Ils se basent sur le Modèle Topographique du Paysage (MTP) et les images aériennes SWISSIMAGE. Pour des informations plus détaillées concernant les activités minières, prière de contacter les autorités cantonales respectives. Cette carte est mise à jour périodiquement et ne prétend pas être exhaustive.

it: Questo set di dati mostra i siti di estrazione in funzione o dismessi dell'industria dei laterizi in Svizzera. L'argilla, la marna e talvolta anche la sabbia, sono le materie prime più importanti per la fabbricazione di mattoni e tegole oppure per l'industria ceramica. Una panoramica dei depositi di queste materie prime è raffigurata in scala 1:500'000. Per informazioni geologiche dettagliate in scala 1:25’000, si rimanda al set di dati swissGEOCOVER2D. Nel caso si auspichi allo sviluppo di un sito di estrazione di materie prime, è essenziale condurre un'indagine geologica dettagliata in loco. I perimetri dei siti di estrazione in attività sono da considerarsi come indicativi. Essi si basano sul Modello Topografico del Paesaggio (MTP) e immagini aeree SWISSIMAGE. Per informazioni dettagliate concernenti l'attività estrattiva, si prega di contattare le rispettive autorità cantonali. Questa set di dati è periodicamente aggiornamento e non pretende di essere completo.

en: This dataset shows the brickwork production and mining sites in operation and decommissioned of the brickworks in Switzerland. Clay, marl and also sand are the most important raw materials for the brick, roof tile and ceramics industry. An overview of the occurrences of these raw materials is shown at a scale of 1:500’000. For detailed geological information at a scale of 1:25’000, please refer to the swissGEOCOVER2D dataset. In case it is desired to develop a mining site, it is essential to conduct a detailed geological investigation on the location of interest. The perimeters of the active mining sites are to be considered as indications. They are based on the Topographic Landscape Model (TLM) and SWISSIMAGE aerial photographs. For detailed information on mining activities, please contact the relevant cantonal authorities. This map is periodically updated and does not claim to be exhaustive.

de: Ziegeleirohstoffe: Produktions- und Abbaustandorte

fr: Matières premières de la terre cuite: Sites de production et d’extraction

it: Materie prime per laterizi: Siti di produzione e di estrazione

en: Brickworks raw materials: Production and mining sites

de: rohstoffsicherung ressourcen-ressourcennutzung bergbau baustoffindustrie geologie extraktivindustrie raumordnung-und--planung bodenschatze produktions--und-industrieanlagen mineralische-bodenschatze geologie bgdi-bundesgeodaten-infrastruktur bund richtplan rohstoffgewinnung abbaustelle nutzungsplanung lithologie betrieb raumentwicklung

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

title_for_slug: ziegeleirohstoffe-abbau

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

de: WMS-BGDI Dienst, Layer "Ziegeleirohstoffe"

fr: Service WMS-IFDG, couche "Matières premières terre cuite"

it: Servizio WMS-IFDG, strato "Materie prime laterizi"

en: WMS-FSDI service, layer "Brickworks raw materials"

de: WMTS-BGDI Dienst, Layer "Ziegeleirohstoffe"

fr: Service WMTS-IFDG, couche , Layer "Roches argileuses: extraction"

it: Servizio WMTS-IFDG, strato "Materie prime mattoni: estrazione"

en: WMTS-FSDI service, layer "Brickworks raw materials: mining"


de: Dieser Datensatz zeigt ausgewählte Veranstaltungen und Veranstaltungsreihen. Der Datensatz ist ursprünglich aufgebaut worden, um das Verkehrsaufkommen bei kantonalen Fahrrad-Zählstellen – welches unter anderem auch durch Veranstaltungen beeinflusst wird – besser interpretieren zu können. Aus diesem Grund sind nicht alle Veranstaltungen auf dem Kantonsgebiet im Datensatz enthalten, sondern nur diejenigen, von denen man sich einen potentiellen Einfluss auf die Anzahl an Zählstellen gezählten Velos erwartet. Der Datensatz wird durch das Statistische Amt Basel-Stadt nach bestem Wissen und Gewissen gepflegt und aktualisiert. Es besteht kein Anspruch auf Richtigkeit oder Vollständigkeit der gemachten Angaben. Bei Veranstaltungen, welche nicht einer eindeutigen Örtlichkeit zugeordnet werden konnten (z.B. Basler Fasnacht), wurde wo möglich eine Adresse erfasst, an der besonders viel Personenaufkommen erwartet wird. Wo dies nicht möglich war, wurde keine Örtlichkeit erfasst.

de: adresse event ausgang velo ansammlung konzert publikum

kanton-basel-stadt

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

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

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

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

de: Kanton Basel-Stadt

en: Canton of Basel-City

fr: Canton de Bâle-Ville

it: Cantone di Basilea-Città

de: Statistisches Amt

value: BS Kanton Stadt - DCAT Harvester

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

envi

de: Umwelt

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (csv)

de: csv

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (json)

de: json

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (fgb)

de: fgb

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (geojson)

de: geojson

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (gpx)

de: gpx

format: GPX

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (jsonl)

de: jsonl

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (kml)

de: kml

format: KML

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (ov2)

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (parquet)

de: parquet

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (rdfxml)

de: rdfxml

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (jsonld)

de: jsonld

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (turtle)

de: turtle

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (n3)

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (shp)

de: Veranstaltungen mit potenziellem Einfluss auf Veloverkehr (xls)