maintainer: Tobias Wechsler

en: integral-water-management gis ecosystem-protection decision-making hydropower

en: Indicators

en: The indicators capture supporting ecosystem functions.

en:
 A spatial dataset and tool to simultaneously assess hydropower potential and ecological potential of the Swiss river network (Version 2016)

 Introduction
The steadily growing demand for energy and the simultaneous pursuit of decarbonisation are increasing interest in the expansion of renewable energies worldwide. In Switzerland, various funding projects have been launched to promote technologies in the field of renewable energies and their application as quickly as possible. With the introduction of a funding instrument in 2009, the number of projects submitted to produce renewable energies increased rapidly. The applications for small hydropower plants (≤ 10 MW) were correspondingly numerous. However, the assessment of the environmental impact and its comparison with hydropower importance is still not standardized.
To provide a basis for decision-making, a methodology was developed to determine the overall hydropower potential of a region. A detailed assessment of each river reach, and the systematic and holistic assessment of small hydropower projects at a regional scale are combined here. The assessment of a river reach is conducted at the river space (i.e., the river and adjacent areas) and at the surrounding landscape level. The HYDROpot_integral methodology was developed as part of Carol Hemund's dissertation (2012) at the University of Bern. It allows the evaluation of river reaches holistically, regarding ecological, social, economic and cultural criteria. As a second part of the overall project, the theoretical hydropower (or hydraulic) potential was calculated for the entire river network, which complemnets the spatial assessment. In particular, it is possible to classify river reaches into those that are more suitable for hydropower production (=”use”) and those that are more suitable for protection.

 Material and method
The HYDROpot_Integral method was developed and tested on the basis of cantonal and national data (Hirschi et al. 2013). The method relies on 73 geodata sets. This holistic assessment is the key element of the entire assessment procedure. Its aim is to quantify the importance of the ecosystem functions in terms of services. The river network (GWN07) is divided into reaches of about 450m and for each reach two study units are defined. The river space (RS) records the ecosystem functions of the water body and the nearby riparian area. The length of the RS is 315 m on average in Switzerland and a maximum of 450 m, whereas the width is based on the FOEN definition (BWG 2001: 18f) and varies between 7-107 m. The surrounding landscape (SLS) is the second survey unit that records the ecosystem functions of the surrounding area over a range of 21 m to 321 m. The SLS is calculated over three times the RS width. The length of the SLS is identical to the length of the RS. The ecosystem functions are divided into three types: regulating (service A), cultural (service B) and provisioning (service C) functions. Accordingly, the assessment of the functions is divided into three parts and three values are assigned to each river reach. The more functions there are and the greater their performance, the higher these values are and the more important the corresponding functions are. Hence, these values quantify the importance of the ecosystem functions and the ecological, cultural and economic ecosystem services of each river reach. The concatenation of ecosystem services results in a value (ABC) that can occur in 125 different versions due to the chosen five-level value scale; i.e. each digit of the three-digit number sequence can be assigned a value between 1 and 5. Each of the 125 combinations, and thus each river reach, has its own characteristics determined by the assessments of the three function types. To record the suitability, the combinations are ranked according to their ecological, cultural and economic ecosystem services. These rules mean that the combination that is most suitable for hydropower production at minimum cost in terms of ecological and cultural ecosystem services and has a high economic potential is ranked first; rank 125 indicates the highest ecological and cultural ecosystem services and the lowest economic services and is therefore most suitable for protection. A river reach that is excluded from hydropower use due to legislation, a so-called priority reach, is given rank 126 from the outset and specially marked. A more detailed description of the methods can be found in Hirschi et al. 2013 [Link]. The dataset presented here presents the latest state of the HYDROpot_integral methodology applied at the national level. Only national data that is easily accessible was used in the preparation of the dataset. The cantonal data, such as renaturation and revitalization, would have to be requested by each canton individually and was excluded here. The nationwide value synthesis was made with R.
A list of data sources can be found here [link to text file]
A list of all parameters can be downloaded here [link to PDF and text files]

 Dataset description
Data is presented as a single shapefile. It contains the river network and all assessment results obtained with HYDROpot_Integral.

 Changes in the methodology compared to the original method (Hirschi et. al 2013)

 * RS_A11 Ecomorphology: recorded for the whole of Switzerland and zero values equated with NA;
individual cantons such as Zug and St. Gallen have no mapped values according to the modular
concept of the federal government, Valais and Graubünden only the main valleys, Ticino and Fribourg not
completely (BAFU 2009).
 * RS_A14 Renaturation and revitalization data: not centrally available at the time of data collection.
centrally available, therefore values in GR were equated with NA.
 * RS_A15 Dilution ratio at wastewater treatment plants (WWTPs) for discharges: Zero values
equal to NA.
 * RS_A20 Water flow: use WASTA (2013) with hydroelectric power plants (> 300 kW) under
Federal control and dams serving hydroelectricity (Dam, as of 2013).
 * RS_C05 Synoptic hazard maps: are cantonally managed at the time of data collection,
Values in GR are marked with a 5 so that the systematics in the decision tree is not affected.
is affected.
 * Water quality (RS_A15, RS_A16, RS_A17, RS_A18, RS_A19): for the evaluation of the function type.
A Nature, it is important whether the median of the five values is less than or equal to 3 in total. This
evaluation is based on the decision tree for evaluating GR (Hirschi et al. 2013:22).
Therefore, an evaluation of the station data is made where critical and possible river segments
with poor quality (median less than 3) exist. Only two longer and one short
sections in Switzerland receive a lower median than 3 for water quality.
 * SLS_B06 Visibility: For 99 percent of the river segments (30,733 of 31,062) in the canton of
Bern (2015 reduced version), the landscape area is considered to be visible. Due to this high number
of sections, a large number of viewpoints in the layer of Swisstopo and
the computation time and computability in ArcGIS, the landscape area is classified as generally viewable
(equal to 1).
16 Method
Additional indicators were added (see Appendix B.2):
 * SLS_A21 Dissection
 * SLS_A22 Forest areas
 * SLS_B03 Hiking trails
 * SLS_B10 Residential and vacation homes
 * SLS_B11 Tourist infrastructure
 * SLS_C01 Landfill
 * SLS_C03 Infrastructure
 * SLS_C05 Industry
 * SLS_C06 Agricultural land
Not to be added, although present to some extent:
 * SLS_B06 Cultural assets of national importance: here, too, the calculability of the visibility analysis is
for the whole of Switzerland is limited
 * SLS_A15 Legally binding protection and land use planning: the individual river sections are not
clearly designated, i.e. no geodata exist
The following data are also not supplemented, as they are cantonal data:
 * SLS_A10 Cantonal nature reserves
 * SLS_A16 Forest reserves
 * SLS_A17 Cantonal inventories and contractually protected areas

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management

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.


ceilometer-klosters

maintainer: EnviDat Support

title_for_slug: ceilometer-klosters

en: ceilometer cloud-base-height vertical-visibility klosters raclets

state: active

type: dataset

en: Ceilometer data Klosters

en: Ceilometer installed at Klosters measuring cloud base height, cloud cover and backscatter profile. The time resolution is 30 seconds, with time given in number of days from January 0, 0000, UTC. More information on the variables in the manufacturer manual.

format: SERVICE

en: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

klosters

display_name: klosters

raclets

display_name: raclets

vertical-visibility

display_name: vertical-visibility

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Ceilometer Klosters


maintainer: Albrecht von Boetticher

en: murgang barrier-impact-simulation shallow-landslide debris-flow dberisintermixing finite-volumes hangmuren interfoam natural-hazard

en: Installation Instructions for debrisInterMixing-6

media_type: application/pdf

en: These are the installation instructions for debrisInterMixing4

format: PDF

mimetype: application/pdf

media_type: application/zip

en:
This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

format: ZIP

mimetype: application/zip

en: debrisInterMixing for OF-Version 6

en:
Here the updated versions of debrisInterMixing are provided for download. The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

en: Three-dimensional debris flow simulation tool debrisInterMixing


maintainer: Sofia Pagliarin

en: milan soil-sealing copernicus urban-atlas imperviousness barcelona

media_type: text/csv

en: Information on data sources

format: CSV

en: Shareable project in Esri ArcGIS format including the HRL IMD data in raster format for each of the territorial boundaries as specified in letter a)-h), see Dataset description

en:
Dataset description

This dataset is a recalculation of the Copernicus 2015 high resolution layer (HRL) of imperviousness density data (IMD) at different spatial/territorial scales for the case studies of Barcelona and Milan. The selected spatial/territorial scales are the following:

 * a)	Barcelona city boundaries
 * b)	Barcelona metropolitan area, Àrea Metropolitana de Barcelona (AMB)
 * c)	Barcelona greater city (Urban Atlas)
 * d)	Barcelona functional urban area (Urban Atlas)
 * e)	Milan city boundaries
 * f)	Milan metropolitan area, Piano Intercomunale Milanese (PIM)
 * g)	Milan greater city (Urban Atlas)
 * h)	Milan functional urban area (Urban Atlas)

In each of the spatial/territorial scales listed above, the number of 20x20mt cells corresponding to each of the 101 values of imperviousness (0-100% soil sealing: 0% means fully non-sealed area; 100% means fully sealed area) is provided, as well as the converted measure into squared kilometres (km2).

 Dataset composition

The dataset is provided in .csv format and is composed of:

_IMD15_BCN_MI_Sources.csv_: Information on data sources

 _IMD15_BCN.csv_: This file refers to the 2015 high resolution layer of imperviousness density (IMD) for the selected territorial/spatial scales in Barcelona:
 * a)	Barcelona city boundaries (label: bcn_city)
 * b)	Barcelona metropolitan area, Àrea metropolitana de Barcelona (AMB) (label: bcn_amb)
 * c)	Barcelona greater city (Urban Atlas) (label: bcn_grc)
 * d)	Barcelona functional urban area (Urban Atlas) (label: bcn_fua)

 _IMD15_MI.csv_: This file refers to the 2015 high resolution layer of imperviousness density (IMD) for the selected territorial/spatial scales in Milan:
 * e)	Milan city boundaries (label: mi_city)
 * f)	Milan metropolitan area, Piano intercomunale milanese (PIM) (label: mi_pim)
 * g)	Milan greater city (Urban Atlas) (label: mi_grc)
 * h)	Milan functional urban area (Urban Atlas) (label: mi_fua)

_IMD15_BCN_MI.mpk_: the shareable project in Esri ArcGIS format including the HRL IMD data in raster format for each of the territorial boundaries as specified in letter a)-h).

Regarding the territorial scale as per letter f), the list of municipalities included in the Milan metropolitan area in 2016 was provided to me in 2016 from a person working at the PIM.

In the IMD15_BCN.csv and IMD15_MI.csv, the following columns are included:

 * Level: the territorial level as defined above (a)-d) for Barcelona and e)-h) for Milan);
 * Value: the 101 values of imperviousness density expressed as a percentage of soil sealing (0-100%: 0% means fully non-sealed area; 100% means fully sealed area);
 * Count: the number of 20x20mt cells corresponding to a certain percentage of soil sealing or imperviousness;
 * Km2: the conversion of the 20x20mt cells into squared kilometres (km2) to facilitate the use of the dataset.

 Further information on the Dataset

This dataset is the result of a combination between different databases of different types and that have been downloaded from different sources. Below, I describe the main steps in data management that resulted in the production of the dataset in an Esri ArcGIS (ArcMap, Version 10.7) project.

 1. The high resolution layer (HRL) of the imperviousness density data (IMD) for 2015 has been downloaded from the official website of Copernicus. At the time of producing the dataset (April/May 2021), the 2018 version of the IMD HRL database was not yet validated, so the 2015 version was chosen instead. The type of this dataset is raster.

 2. For both Barcelona and Milan, shapefiles of their administrative boundaries have been downloaded from official sources, i.e. the ISTAT (Italian National Statistical Institute) and the ICGC (Catalan Institute for Cartography and Geology). These files have been reprojected to match the IMD HRL projection, i.e. ETRS 1989 LAEA.

 3. Urban Atlas (UA) boundaries for the Greater Cities (GRC) and Functional Urban Areas (FUA) of Barcelona and Milan have been checked and reconstructed in Esri ArcGIS from the administrative boundaries files by using a Eurostat correspondence table. This is because at the time of the dataset creation (April/May 2021), the 2018 Urban Atlas shapefiles for these two cities were not fully updated or validated on the Copernicus Urban Atlas website. Therefore, I had to re-create the GRC and FUA boundaries by using the Eurostat correspondence table as an alternative (but still official) data source. The use of the Eurostat correspondence table with the codes and names of municipalities was also useful to detect discrepancies, basically stemming from changes in municipality names and codes and that created inconsistent spatial features. When detected, these discrepancies have been checked with the ISTAT and ICGC offices in charge of producing Urban Atlas data before the final GRC and FUA boundaries were defined.

Steps 2) and 3) were the most time consuming, because they required other tools to be used in Esri ArcGIS, like spatial joins and geoprocessing tools for shapefiles (in particular dissolve and area re-calculator in editing sessions) for each of the spatial/territorial scales as indicated in letters a)-h).

Once the databases for both Barcelona and Milan as described in points 2) and 3) were ready (uploaded in Esri ArcGIS, reprojected and their correctness checked), they have been ‘crossed’ (i.e. clipped) with the IMD HRL as described in point 1) and a specific raster for each territorial level has been calculated. The procedure in Esri ArcGIS was the following:

 * Clipping: Arctoolbox > Data management tools > Raster > Raster Processing > Clip. The ‘input’ file is the HRL IMD raster file as described in point 1) and the ‘output’ file is each of the spatial/territorial files. The option "Use Input Features for Clipping Geometry (optional)” was selected for each of the clipping.
 * Delete and create raster attribute table: Once the clipping has been done, the raster has to be recalculated first through Arctoolbox > Data management tools > Raster > Raster properties > Delete Raster Attribute Table and then through Arctoolbox > Data management tools > Raster > Raster properties > Build Raster Attribute Table; the "overwrite" option has been selected.

 Other tools used for the raster files in Esri ArcGIS have been the spatial analyst tools (in particular, Zonal > Zonal Statistics). As an additional check, the colour scheme of each of the newly created raster for each of the spatial/territorial attributes as per letters a)-h) above has been changed to check the consistency of its overlay with the original HRL IMD file. However, a perfect match between the shapefiles as per letters a)-h) and the raster files could not be achieved since the raster files are composed of 20x20mt cells.

The newly created attribute tables of each of the raster files have been exported and saved as .txt files. These .txt files have then been copied in the excel corresponding to the final published dataset.

barcelona

display_name: barcelona

copernicus

display_name: copernicus

imperviousness

display_name: imperviousness

milan

display_name: milan

soil-sealing

display_name: soil-sealing

urban-atlas

display_name: urban-atlas

en: Soil sealing Barcelona and Milan different territorial levels


en: meteorological-data first-order-catchment snow runoff subalpine alptal

en: Daily meteorological and snow data (1968-2022) Alptal

en:
Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipiation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively.
For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation.
Snow depth has been recorded automatically since 2003. Snow water equivalent has been calculated using two numerical models: COUP model (Jansson, 2012) and DeltaSnow model (Winkler et al., 2021)

Jansson, P.-E. (2012). COUP model: model use, calibration, and validation.Transactions of the ASABE, 55(4), 1335–1344.
Winkler, M., et al. (2021): Snow water equivalents exclusively from snow depths and their temporal changes: the Δsnow model, Hydrol. Earth Syst. Sci., 25, 1165-1187, 10.5194/hess-25-1165-861 2021.

format: XLS

en: Manual snow measurements Alptal (1968-2022)

en:
Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly.
More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en: Daily runoff data from three steep torrents in the Alptal (1968-2022)

en: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2022 (contact: alptal@wsl.ch).

en:
This data set includes 54 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in sub-daily resolution can be provided on demand.
Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal .
Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited.
Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments).
Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical models COUP and DeltaSnow) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058.

Further information on the methods and sensors can be found at https://www.wsl.ch/alptal .

A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes. A second update of the data set (with data from 2020 to 2022) was uploaded in March 2023.

alptal

display_name: alptal

first-order-catchment

display_name: first-order-catchment

meteorological-data

display_name: meteorological-data

runoff

display_name: runoff

snow

display_name: snow

subalpine

display_name: subalpine

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: Longterm hydrological observatory Alptal (central Switzerland)


en: snow-depth model-calibration-data model-validation-data snow-water-equivalent snow-density

en: swe2hs calibration and validation data

en:
 Contents of this archive

 README.md

 A readme file containing a description of the other files.

 automatic_stations_validation_data.csv

 Daily data from the automatic weather stations used for validation.

 Data sources and providers are listed in the SWE2HS paper, Table 1.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * site_id: code for the measurement site
  - HS_interpolated: boolean flag for interpolated values
  - SWE_interpolated: : boolean flag for interpolated values

 coordinates_swe2hs_paper_stations.csv

 Coordinates of all measurement sites used in the SWE2HS paper.

 Columns:

  * site_id: code for the measurement site
  * location_name: location name of the measurement site
  * lon_[wgs84]: longitude in WGS84
  * lat_[wgs84]: latitude in WGS84
  * elevation_[m]: atitude of the measurement site in [m]
  * dataset: dataset in which the station is included

 manual_station_calibration_data.csv

 Calibration data from the Swiss manual observer stations. Long station records
 trmmed to 15 random water-years.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_validation_data.csv

 Validation data from the Swiss manual observer stations. Remaining water-years
 from the long sttaion record not used for the calibration data.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_used_deltasnow_parameters.csv

 Site specific DeltaSNOW model parameters used for the calculation of the daily
 SWE series in 'manual_stations_calibration_data.csv' and
 'manual_stations_validation_data.csv'.

 Parameters were optimized by reducing RMSE to the biweekly snow pit SWE measurements.
 Please refer to the paper for further details.

 A python implementation of the DeltaSNOW model was used for the calculation:
 pydeltasnow (https://pypi.org/project/pydeltasnow/)

 For a detailed description of the DeltaSNOW model parameters please see the
 respective publication:

 Winkler, M., Schellander, H., & Gruber, S. (2021). Snow water equivalents
 exclusively from snow depths and their temporal changes: the Δ snow model.
 Hydrology and Earth System Sciences, 25(3), 1165-1187.

 Columns:

  * site_id: code for the measurement site
  * rho_max: Maximum density of an individual snow layer produced by the DeltaSNOW model in [kg/m3]
  * rho_null: Fresh snow density for a newly created layer [kg/m3
  * c_ov: Overburden factor due to fresh snow [-]
  * k_ov: Defines the impact of the individual layer density on the compaction due to overburden [-]
  * k: Exponent of the exponential-law compaction [m3/kg]
  * tau: Uncertainty bound [m]
  * eta_null: Effective compactive viscosity of snow for “zero-density” [Pa s]

en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: SWE2HS model calibration and validation data


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

en: Data Access

format: GeoTIFF

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

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

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


en: wind precipitation atmospheric-conditions radiation temperature-profiles

en: DATA ACCESS

en: This data access is outdated and has been replaced with an updated version (see description).

en: README

media_type: text/plain

en: This description is outdated and has been replaced with an updated version (see description).

format: TXT

en: Site photo 3

en: This site photo is outdated and has been replaced with an updated version (see description).

en: Site photo 1

en: Site photo 2

en: Overview plot

media_type: image/png

en: This overview plot is outdated and has been replaced with an updated version (see description).

format: PNG

en: Latest data from Stillberg climate station

en: This dataset is outdated and has been replaced with an updated version (see description).

en: STB2 CSV

mimetype: text/csv

en:
 Important

This EnviDat entry is outdated. The most recent, usable version of the data can be found under the new EnviDat entry "Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l.." The entry can be found under this link <https://www.envidat.ch/dataset/meteo-stillberg> and with this DOI https://doi.org/10.16904/envidat.396.

atmospheric-conditions

display_name: atmospheric-conditions

precipitation

display_name: precipitation

radiation

display_name: radiation

temperature-profiles

display_name: temperature-profiles

wind

display_name: wind

en: Long-term meteorological and snow station at 2090 m a.s.l., Stillberg, Davos, Switzerland (1975 - present)


en: snow-distribution canopy-height snow-depth forest-structure airborne-laser-scanning

en: Readme

mimetype: text/plain

en: Terrain elevation maps

en: Digital elevation model computed from snow-off flights for each of the field areas Davos, Engadine and Grand Mesa

en: Canopy height maps

en: Canopy height maps of each of the three field areas Davos, Engadine and Grand Mesa

en: Snow depth maps

en: Snow depth maps from two snow-on flights at each of the three field areas Davos (March 20th and 31st 2017), Engadien (March 20th and 31st, 2017) and Grand Mesa (February 8th and 16th, 2017)

en:
This dataset includes snow depth, canopy height and terrain elevation maps of forest stands in the Grisons (CH) and at Grand Mesa (CO,USA) derived from airborne lidar. Data were acquired i) within a pilot mission of NASA's Airborne Snow Observatory in the Swiss Alps in March 2017 and ii) during NASA’s SnowEx campaign at Grand Mesa in February 2017. Snow depth maps are available for two dates separated by approx.1 week, and include an area of ca. 0.5km2 for each of the three sites Davos, Engadine and Grand Mesa.
All data were presented and analyzed in the publication 'Revisiting Snow Cover Variability and Canopy Structure within Forest Stands: Insights from Airborne Lidar Data' (Mazzotti et al., 2019, WRR, doi: 10.1029/2019WR024898). This publication must be cited when using this dataset.

Paper Citation:
 > _Giulia Mazzotti; William Ryan Currier; Jeffrey S. Deems; Justin M. Pflug; Jessica D. Lundquist; Tobias Jonas (2019). Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data. Water Resources Research, 55, 6198– 6216, [doi: 10.1029/2019WR024898](https://doi.org/10.1029/2019WR024898)._

airborne-laser-scanning

display_name: airborne-laser-scanning

canopy-height

display_name: canopy-height

forest-structure

display_name: forest-structure

snow-depth

display_name: snow-depth

snow-distribution

display_name: snow-distribution

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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: ALS-based snow depth and canopy height maps from flights in 2017 (Grisons, CH and Grand Mesa, CO)


biogas-aus-hofdunger-in-der-schweiz

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

en: switzerland bioenergy manure biogas review

en: Biogas aus Hofdünger in der Schweiz

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

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


maintainer: Ionuț Iosifescu Enescu

en: map 1GB

media_type: image/tiff

format: TIFF

mimetype: image/tiff

en: map 2GB

en: map preview 0.5MB

mimetype: image/jpeg

en: huge map 100GB

en: Bulk Data Access

en: Link to the S3 bucket where all the data resources can be downloaded in bulk

en: large map 10GB

en: map 0.5GB

en: map 0.2GB

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

gis

display_name: gis

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis

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


soil-respiration-exclosure-experiment

title_for_slug: soil-respiration-exclosure-experiment

en: subalpine grassland ungulates grazing soil-respiration

en: Soil respiration Switzerland

en:
ID: Fence number

Year	:Year of sampling

mean.CO2: soil respiration measured with PP-systems SRC-1 soil respriation chamber attached to a EGM-4 infrared gas analyser; units CO2 g m-2 h-1

Grassland: Grasslands where fences were errected. Note that on large grasslands (STAB, GRIM, MING) 2 pairs of fences were errected (2 in short, 2 in tall-grass vegetation), on small grasslands (DADA, MARG, BOTS) only one pair of fences was errected (1 short-grass; one-tallgrass vegetation)

Fence: Fence number; un-even numbers on short-grass vegetation (1,3,5,7,9,11,13,15,17), even numbers on tall-grass vegetation (2,4,6,8,10,12,14,16,18)

Vegetation:	1 = shortgrass vegetation, 2 = tall-grass vegetation (9 replicate fences on each vegetation type)

Treatment	: 1 = all herbivores grazing, 2 = large ungulates (red deer, chamois) excluded

en:
Location of data collection
The Swiss National Park (SNP) is located in the southeastern part of Switzerland, and covers an area of 170 km2, 50 km2 of which is forested, 33 km2 is occupied by alpine and 3 km2 by subalpine grasslands. Elevations range from 1350 to 3170 m a.s.l., and mean annual precipitation and temperature are 871 mm and 0.6°C measured at the Park’s weather station in Buffalora (1980 m a.s.l.) between 1960 and 2009 (MeteoSchweiz 2011). Founded in 1914, the SNP received minimal human disturbance for almost 100 years (no hunting, fishing, or camping, visitors are not allowed to leave the trails). Large (> 1 ha) homogeneous patches of short- and tall-grass vegetation characterize the subalpine grasslands. The average vegetation height of short-grass vegetation is 2 to 5 cm. Red fescue (Festuca rubra L.), quaking grass (Briza media L.) and common bent grass (Agrostis tenuis Sipthrob) are the predominating plant species in this vegetation type. Tussocks of evergreen sedge (Carex sempervirens Vill.) and mat grass (Nardus stricta L.) are predominant in the tall-grass vegetation, which averages 20 cm in vegetation height (Schütz and others 2006). Short-grass vegetation developed in areas where cattle and sheep rested (high nutrient input) during agricultural land-use (from 14th century until 1914); tall-grass vegetation developed in areas where cattle and sheep used to graze, but did not rest (Schütz and others 2003, 2006). Herbivores were shown to consume > 60% of the biomass in short-grass compared to < 20% in tall-grass vegetation (Schütz and others 2006). The herbivore community present in the SNP can be divided into four groups based on body size/weight: large [red deer (Cervus elaphus L.) and chamois (Rupricapra rupricapra L.); 30 - 150 kg], medium [marmot (Marmota marmota L.) and snow hare (Lepus timidus L.); 3 – 6 kg], and small vertebrate herbivores (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp.; 30 – 100 g) as well as invertebrates (e.g. grasshoppers, caterpillars, cicadas, < 5 g).

Experimental design
We selected 18 subalpine grassland sites (9 short-grass, 9 tall-grass vegetation). The sites were spread across the entire park on dolomite parent material at altitudes of 1975 to 2300 meters. At each site we established an exclosure network (fences) in spring 2009 (early June), immediately after snowmelt. Each exclosure network consisted of a total of five 2 × 3 m sized plots that progressively excluded the different herbivores listed above (further labeled according to the herbivore guilds that had access to the respective plots “All”, “Marmot/Mice/Invertebrates”, “Mice/Invertebrates”, “Invertebrates”, “None”). The “All” treatment was thus accessible to all herbivores, was not fenced and was located at least 5 m away from a 2.1 m tall and 7 × 9 m main fence that enclosed the other four treatments. This fence was constructed of 10 × 10 cm wooden posts and electrical equestrian tape (AGRARO ECO, Landi, Bern, Switzerland; 20 mm width) mounted at 0.7 m, 0.95 m, 1.2 m, 1.5 m and 2.1 m above the ground that were connected to a solar charged battery (AGRARO Sunpower S250, Landi, Bern, Switzerland). We also mounted non-electrically charged equestrian tape at 0.5 m to help exclude deer and chamois, yet allow marmots and hares to enter safely. Within each main fenced area we randomly established four 2 × 3 m plots: (1) The “Marmot/Mice/Invertebrates” plot remained unfenced, thus, with the exception of red deer and chamois, all herbivores were able to access the plot, (2) The “Mice/Invertebrates” plot consisted of a 90 cm high electric sheep fence (AGRARO Weidezaunnetz ECO, Landi, Bern, Switzerland; mesh size 10 × 10 cm) connected to the solar panel and excluded all medium sized mammals (marmots, hares), but provided access for small mammals and invertebrates, (3) The “Invertebrates” plot provided access for invertebrates only and was surrounded by 1 m high metal mesh (Hortima AG, Hausen, Schweiz; mesh size 2 × 2 cm), (4) The “None” plot was surrounded by a 1 m tall mosquito net (Sala Ferramenta AG, Biasca, Switzerland; mesh size 1.5 × 2 mm) to exclude all herbivores. This plot was covered with a roof constructed of a wooden frame lined with mosquito mesh that was mounted on the wooden corner posts. We also treated this plot with a biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) when needed to remove insects that might have entered during data collection or that hatched from the soil.

!!! The here published data set only contains data for “All”, and “Marmot/Mice/Invertebrates” (= ungulates excluded) plots !!!

Data collection
In-situ soil CO2 emissions were measured with a PP-Systems SRC-1 soil respiration chamber (closed circuit) attached to a PP-Systems EGM-4 infrared gas analyzer (PP-Systems, Amesbury, MA, USA) on two randomly selected locations on one subplot within each of the 90 plots. For each measurement the soil chamber (15 cm high; 10 cm diameter) was placed on a permanently installed PVC collar (10 cm diameter) driven five centimeters into the soil at the beginning of the study (June 2009). The measurements were conducted between 0900 and 1700 hours every two weeks from early to early September 2009, 2010, 2011 and 2013. Freshly germinated plants growing within the PVC collars were removed prior to each measurement to avoid measuring plant respiration/photosynthesis. The two measurements collected per plot every two weeks were averaged.

Please acknowledge the funding of the study: funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 to Anita C. Risch, Martin Schütz and Flurin Filli

grassland

display_name: grassland

grazing

display_name: grazing

soil-respiration

display_name: soil-respiration

subalpine

display_name: subalpine

ungulates

display_name: ungulates

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Soil respiration - exclosure experiment


maintainer: Jürg Schweizer

en: avalanche-activity snow-avalanche danger-level avalanche-size avalanche-forcasting

en: Snow avalanche data

en: This data file includes data on the avalanches mapped in the region of Davos.

en: Readme

en: The Readme file contains the description of the two data files.

en: Avalanche activity data

en: This data file includes data on the avalanche activity per day aggregated from the avalanche data.

en:
These data include all avalanches that were mapped in the region of Davos, Switzerland during the winters 1998-1999 to 2018-2019 (21 years), in total 13,918 avalanches, and the corresponding forecast danger level valid on the day of avalanche occurrence, 3533 days and danger ratings in total.

This avalanche activity data set was analysed and results published by Schweizer et al. (2020). They found that the
number of avalanches per day strongly increased with increasing danger level, but avalanche size was poorly related to avalanche danger level.

The data are provided in two files: the first includes the avalanche data (13,918 records); the second includes the avalanche activity per day (3533 records).
Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A. and Reuter, B., 2020. On the relation between avalanche occurrence and avalanche danger level. The Cryosphere, 14, 737-750, https://doi.org/10.5194/tc-14-737-2020.

avalanche-activity

display_name: avalanche-activity

avalanche-forcasting

display_name: avalanche-forcasting

avalanche-size

display_name: avalanche-size

danger-level

display_name: danger-level

snow-avalanche

display_name: snow-avalanche

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: Snow avalanche data Davos, Switzerland, 1999-2019


radar-wind-profiler-davos-wolfgang

maintainer: Maxim Hervo

title_for_slug: radar-wind-profiler-davos-wolfgang

en: wind-speed radar wind-direction raclets wolfgangpass

en: Radar Wind Profiler Data

en: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.

en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

raclets

display_name: raclets

radar

display_name: radar

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wolfgangpass

display_name: wolfgangpass

en: RADAR Wind profiler Davos Wolfgang


en: water-front snow-temperature snow-stratigraphy ice-layers weissfluhjoch snowmicropen

en: WFJ_ICE_LAYERS dataset

en: README

en: The WFJ_ICE_LAYERS dataset contains multi-instrument snowpack measurements at high temporal resolution, which enable to monitor the formation of deep ice layers due to preferential water flow, at the Weissfluhjoch research site, Davos, Switzerland. It covers the winter 2016/2017, with a focus on the early melting season. This dataset includes traditional snowpack profiles (weekly resolution, 15/11/2016-29/05/2017), SnowMicroPen penetration resistance profiles (daily resolution, 01/02/2017-19/04/2017), snow temperatures measured at different heights in the snowpack (half-hourly resolution, 01/03/2017-15/04/2017) and the water front height derived from an upward-looking ground penetrating radar (3-hour resolution, 04/03/2017-08/04/2017). The measurements are complemented by initialization files for SNOWPACK model simulations with the ice reservoir parameterization at Weissfluhjoch for the winter 2016/2017.

ice-layers

display_name: ice-layers

snow-stratigraphy

display_name: snow-stratigraphy

snow-temperature

display_name: snow-temperature

snowmicropen

display_name: snowmicropen

water-front

display_name: water-front

weissfluhjoch

display_name: weissfluhjoch

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: WFJ_ICE_LAYERS: Multi-instrument data for monitoring deep ice layer formation in an alpine snowpack


weissfluhjoch-dataset-for-esm-snowmip

maintainer: Nander Wever

title_for_slug: weissfluhjoch-dataset-for-esm-snowmip

en: snow-models esm-snowmip weissfluhjoch snow-depth snow

en: Dataset Weissfluhjoch for ESM-SnowMIP

en: ini file

en: This ini file is required by data-converter from MeteoIO version 1887 (http://models.slf.ch/p/meteoio/)

en: Conversion script

en:
Use this script to convert WFJ_optimaldataset_v6.smet to wfj.smet, the file that is used for the ESM-SnowMIP project. It also requires the file: WFJ_AirPressure_Data.zip

Use: bash create_wfj_dataset.sh > input/wfj.smet

mimetype: text/x-sh

en: This Weissfluhjoch dataset is a processed version of the Weissfluhjoch dataset version 6 from https://doi.org/10.16904/6. This dataset was specially created for the ESM-SnowMIP project. Here it is documented how this dataset has been created.

esm-snowmip

display_name: esm-snowmip

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-models

display_name: snow-models

en: Weissfluhjoch dataset for ESM-SnowMIP


verkehrsmessstellen

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: verkehrsmessstellen

de: messstellen messstellennetz vde verkehrsdaten verkehrsdatenerfassung zahlstellen

label: geocat.ch permalink

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Verkehrsmessstellen

de: Web Map Services WMS

format: WMS

de: WFS Verkehrsmessstellen

de: Web Feature Services WFS

format: WFS

de: Alle bestehenden und geplanten, permanenten und periodischen Messstellen für den motorisierten Individualverkehr, Velo- und Fussverkehr auf städtischen, kantonalen und eidgenössischen Strassen

spatial: Stadt Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Verkehrsmessstellen


parkplatze-offentlich

title_for_slug: parkplatze-offentlich

de: parkieren parking

de: WMS Parkplaetze_oeffentlich

de: WFS Parkplaetze_oeffentlich

de: Dieses Produkt umfasst alle regulären Parkfelder für Personenwagen und Zweiräder, Spezialfelder (Gehbehinderte, Car, E-Mobile mit Ladestation etc.) sowie Parkverbotsflächen (Möglichkeit zum Güterumschlag oder Ein- und Aussteigen lassen) auf öffentlichem Grund.

de: Parkplätze (öffentlich)


recensement-des-sondes-geothermiques

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

de: Bildung, Kultur und Sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: recensement-des-sondes-geothermiques

fr: pompe-a-chaleur utilisation-deau energie-geothermique infiltration-deau-dans-le-sol forage eaux-souterraines

de: warmepumpe wassernutzung erdwarme wasserinfiltration-in-den-boden bohrung grundwasser

en: heat-pump water-utilisation geothermal-energy water-infiltration-into-the-ground drilling groundwater

it: pompa-di-calore utilizzazione-dellacqua energia-geotermica infiltrazione-di-acqua-nel-suolo perforazione acqua-sotterranea

fr: Accès aux données (fr) : téléchargement et services web (Géoportail cantonal)

fr: Datenzugriff (de): Download und Webservices (Kantonales Geoportal)

fr: Emplacement et caractéristiques des forages : profondeur, lien vers le relevé géologique - accessible sur le portail cartographique au format PDF, liquide caloporteur (fluide circulant dans la sonde), etc.

spatial: Canton de Fribourg (FR)

fr: Geoinformation Canton Fribourg

de: Geoinformation Kanton Freiburg

en: Geoinformation Canton Fribourg

it: Geoinformazione Canton Friburgo

fr: Les géodonnées publiques du Canton Fribourg sont gérées par le Centre de compétence SIT du Service du cadastre et de la géomatique SCG et mises à disposition sous forme de services web et de téléchargement via le géoportail cantonal.

en: The public geodata of the Canton Fribourg are managed by the GIS Competence Center of the Office of Surveying and Geomatics (VGA) and made available via the cantonal geoportal as web services and for download.

de: Die öffentlichen Geodaten des Kantons Freiburg werden durch das GIS-Kompetenzzentrum des Amtes für Vermessung und Geomatik VGA verwaltet und über das kantonale Geoportal als Webservices und zum Download bereitgestellt.

it: I geodati pubblici del Canton Friburgo sono gestiti dal Centro di competenza GIS dell'Ufficio della Misurazione e della Geomatica (SCG) e messi a disposizione tramite il geoportale cantonale come servizi web e per il download.

political_level: canton

value: Fribourg-Kt - Geocat Harvester

fr: Forages pour sonde géothermique verticale


fr: Annuaire statistique de la Suisse 1891

de: Statistisches Jahrbuch der Schweiz 1891

media_type: text/html

format: HTML

mimetype: text/html

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

spatial: Schweiz

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

political_level: confederation

value: BFS – DCAT Harvester


fr: Annuaire statistique de la Suisse 1893

de: Statistisches Jahrbuch der Schweiz 1893


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902


de: Statistisches Jahrbuch der Schweiz 1928

fr: Annuaire statistique de la Suisse 1928


fr: Annuaire statistique de la Suisse 1927

de: Statistisches Jahrbuch der Schweiz 1927


fr: Annuaire statistique de la Suisse 1955

de: Statistisches Jahrbuch der Schweiz 1955


fr: Annuaire statistique de la Suisse 1967

de: Statistisches Jahrbuch der Schweiz 1967


fr: Annuaire statistique de la Suisse 1932

de: Statistisches Jahrbuch der Schweiz 1932


fr: Annuaire statistique de la Suisse 1983

de: Statistisches Jahrbuch der Schweiz 1983


de: Statistisches Jahrbuch der Schweiz 1934

fr: Annuaire statistique de la Suisse 1934


de: Statistisches Jahrbuch der Schweiz 1923

fr: Annuaire statistique de la Suisse 1923


fr: Annuaire statistique de la Suisse 1993

de: Statistisches Jahrbuch der Schweiz 1993


fr: Statistique de l'aviation civile suisse 2020 - 5. Passagers

de: Schweizerische Zivilluftfahrtstatistik 2020 - 5. Passagiere

mobilita-e-trasporti

display_name: mobilita-e-trasporti

mobilitad-e-traffic

display_name: mobilitad-e-traffic

mobilitat-und-verkehr

display_name: mobilitat-und-verkehr

mobilite-et-transports

display_name: mobilite-et-transports

mobility-and-transport

display_name: mobility-and-transport

tran

fr: Transports

de: Verkehr


fr: Annuaire statistique de la Suisse 1972

de: Statistisches Jahrbuch der Schweiz 1972


de: Kinoinfrastruktur nach Kinotypen

fr: Infrastructures selon le type de cinéma

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport


fr: Degré tertiaire, hautes écoles universitaires: étudiants selon la haute école et le domaine d'études

de: Tertiärstufe, universitäre Hochschulen: Studierende nach Hochschule und Fachbereich

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


de: Hauptsprachen seit 1910

fr: Langues principales depuis 1910

it: Lingue principali dal 1910

bevolkerung

display_name: bevolkerung

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

soci

fr: Population et société

de: Bevölkerung und Gesellschaft


fr: Radio: Programmes de la SRG SSR selon la catégorie de contenu

de: Radio: Programmangebot der SRG SSR nach Inhaltskategorien


de: Dauer der nachobligatorischen Ausbildung

fr: Durée de la formation postobligatoire


de: Unternehmensdemografie (UDEMO)

fr: Démographie des entreprises (UDEMO)

industria-e-servetschs

display_name: industria-e-servetschs

industria-e-servizi

display_name: industria-e-servizi

industrie-et-services

display_name: industrie-et-services

industrie-und-dienstleistungen

display_name: industrie-und-dienstleistungen

industry-and-services

display_name: industry-and-services

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze


fr: Diagnostics les plus fréquents en cas d'hospitalisation selon le type d'hôpital

de: Die häufigsten Diagnosen bei Hospitalisierungen, nach Spitaltyp

gesundheit

display_name: gesundheit

health

display_name: health

salute

display_name: salute

sanadad

display_name: sanadad

sante

display_name: sante

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute


de: Armutsquoten vor und nach Sozialtransfers, nach verschiedenen Merkmalen

fr: Taux de pauvreté avant et après transferts sociaux, selon différentes caractéristiques


fr: Récolte de bois par canton

de: Holzernte nach Kantonen

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

spatial: Kantone

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari


fr: Résultats comptables des exploitations agricoles

de: Buchhaltungsergebnisse der landwirtschaftlichen Betriebe


de: Gesamtschweizerische Vermögenssteuerstatistik der natürlichen Personen

fr: Statistique de la fortune imposée des personnes physiques pour l'ensemble de la Suisse


fr: securite-sociale couple

de: soziale-sicherheit paar

en: social-security couple

it: coppia sicurezza-sociale

de: WSH: Ablösequote der wirtschaftliche Sozialhilfe nach Struktur der Unterstützungseinheit und Merkmalen der antragstellenden Person

fr: ASE: Taux de sortie de l'aide sociale économique selon la structure de l'unité d'assistance et par variables démographiques du titulaire

coppia

display_name: coppia

couple

display_name: couple

paar

display_name: paar

securite-sociale

display_name: securite-sociale

segirezza-sociala

display_name: segirezza-sociala

sicurezza-sociale

display_name: sicurezza-sociale

social-security

display_name: social-security

soziale-sicherheit

display_name: soziale-sicherheit


fr: Traitement des déchets spéciaux

de: Behandlung von Sonderabfällen

espace-et-environnement

display_name: espace-et-environnement

raum-und-umwelt

display_name: raum-und-umwelt

territori-ed-ambient

display_name: territori-ed-ambient

territorio-e-ambiente

display_name: territorio-e-ambiente

territory-and-environment

display_name: territory-and-environment

envi

fr: Environnement

de: Umwelt

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


de: gaspreis erdgas biogas fernwarme gas

de: fgb

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (fgb)

format: octet-stream

license: CC BY

de: parquet

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (parquet)

de: jsonld

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (jsonld)

format: JSON-LD

de: jsonl

media_type: application/json

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (jsonl)

format: JSON

de: turtle

media_type: text/turtle

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (turtle)

format: RDF Turtle

de: csv

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (csv)

de: xls

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (xls)

de: rdfxml

media_type: application/rdf+xml

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (rdfxml)

format: RDF XML

de: json

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (json)

de: Gas- und Fernwärmepreise der St.Galler Stadtwerke im Vergleich zum Ölpreis (n3)

de:
Anhand dieser Datensätze können Sie verschiedene
Energieträger resp. -produkte (Gas- und Fernwärme) der St.Galler Stadtwerke
beliebig mit dem Ölpreis am Lieferstandort der Stadt St.Gallen und den
gasversorgten Gebieten (Abtwil, Arbon, Horn, Mörschwil, Steinach und Rorschach)
miteinander vergleichen. Damit dieser Preisvergleich auch korrekt durchgeführt
werden kann, sind bei den Energieträgern alle Kostenbestandteile (z.B. Grund-
und Arbeitspreise) inkl. der CO2-Abgabe und der Mehrwertsteuer eingerechnet. Sie
können somit beliebige Energieträger in verschiedenen Zeitreihen miteinander
vergleichen.

biogas

display_name: biogas

erdgas

display_name: erdgas

fernwarme

display_name: fernwarme

gas

display_name: gas

gaspreis

display_name: gaspreis

ener

fr: Énergie

de: Energie

stadt-st-gallen

fr: Ville de Saint-Gall

de: Stadt St.Gallen

en: City of St.Gallen

it: Città di San Gallo

fr: Avec une population de 80 000 habitants, Saint-Gall, huitième ville de Suisse, est la métropole économique, politique, sociale et culturelle de la Suisse orientale. Ses 1400 ans d'histoire se mêlent à la créativité urbaine, à une économie innovante et à un paysage préservé.

en: With a population of 80,000, St.Gallen, Switzerland’s eighth largest city, is the economic, political, social and cultural metropolis of eastern Switzerland. Its 1400 years of history blend with urban creativity, an innovative economy and an unspoilt landscape.

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.

it: Con una popolazione di 80.000 abitanti, San Gallo, l'ottava città più grande della Svizzera, è la metropoli economica, politica, sociale e culturale della Svizzera orientale. I suoi 1400 anni di storia si fondono con la creatività urbana, un'economia innovativa e un paesaggio incontaminato.

value: DCAT Harvester Stadt St. Gallen


de: auskunfte betreibung

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (turtle)

de: jsonl

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (jsonl)

de: jsonld

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (jsonld)

de: fgb

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (fgb)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (rdfxml)

de: parquet

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (parquet)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (n3)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (csv)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (xls)

de: Auskünfte Betreibungsregister Stadt St.Gallen (2005-2018) (json)

de: Anzahl der Betreibungsregisterauskünfte der Stadt St.Gallen (2005-2018)

auskunfte

display_name: auskunfte

betreibung

display_name: betreibung

econ

de: Wirtschaft und Finanzen


de: velodaten velo verkehr

de: turtle

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (turtle)

de: csv

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (csv)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (jsonl)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (ov2)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (jsonld)

de: rdfxml

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (rdfxml)

de: geojson

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (geojson)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (n3)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (fgb)

de: shp

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (shp)

de: json

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (json)

de: gpx

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (gpx)

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (parquet)

de: kml

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (kml)

format: KML

de: xls

de: Velozählungen Stadt St.Gallen - Archiv (2011 - 2015) (xls)

de: Seit dem Jahr 2011 zählt die Stadt St.Gallen Velofahrer an verschiedenen Zählstellen in der Stadt. Die Zahlen beziehen sich auf die Anzahl Velofahrer pro Stunde in beide Richtungen.

velo

display_name: velo

velodaten

display_name: velodaten

verkehr

display_name: verkehr

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

stadt-st-gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: budget direktionen dienststellen rechnung haushalt

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (xls)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (xls)

de: rdfxml

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (rdfxml)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (rdfxml)

de: fgb

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (fgb)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (fgb)

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (json)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (json)

de: csv

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (csv)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (csv)

de: turtle

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (turtle)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (turtle)

de: jsonld

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (jsonld)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (jsonld)

de: jsonl

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (jsonl)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (jsonl)

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (n3)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (n3)

de: parquet

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (English Data) (parquet)

en: Budget 2020 of the City of St.Gallen in Institutional Structure (English Data) (parquet)

de: Der Datensatz zeigt das Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung. Ebenfalls enthalten sind die Rechnung 2019, das Budget 2020, sowie die Abweichung zum Budget 2021. Eine klickbare Visualisierung des Budgets finden Sie im Tab "Klickbares Budget".

en: The dataset shows the Budget 2021 of the city of St.Gallen in institutional structure. It also contains the Invoice 2019, the Budget 2020 and the deviation to the Budget 2020. You find a clickable version of the Budget in the Tab "Clickable Budget"

budget

display_name: budget

dienststellen

display_name: dienststellen

direktionen

display_name: direktionen

haushalt

display_name: haushalt

rechnung

display_name: rechnung

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

de: Stadt St.Gallen


fernwarmestrategie-hestia

title_for_slug: fernwarmestrategie-hestia

de: warmeversorgung energy-hackdays gasversorgung sgsw

de: rdfxml

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (rdfxml)

de: geojson

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (geojson)

de: fgb

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (fgb)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (turtle)

de: kml

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (kml)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (jsonl)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (parquet)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (n3)

de: gpx

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (gpx)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (ov2)

de: xls

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (xls)

de: shp

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (shp)

de: json

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (json)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (csv)

de: Fernwärmestrategie der Stadt St.Gallen (Hestia) (jsonld)

de: Mit diesem Datenset ist es möglich, für jede Adresse das entsprechende Gebiet der städtischen Wärmeversorgungsstrategie sowie den voraussichtlichen Zeitpunkt der Einführung von Fernwärme (falls geplant) einzusehen. Die Daten umfassen die geplanten Ausbauphasen 3 und 4 der Fernwärme, über die voraussichtlich im November 2023 die städtische Stimmbevölkerung abstimmen wird.

energy-hackdays

display_name: energy-hackdays

gasversorgung

display_name: gasversorgung

sgsw

display_name: sgsw

warmeversorgung

display_name: warmeversorgung

envi

de: Umwelt

stadt-st-gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: langsamverkehr fussganger passanten

de: kml

de: Begegnungszonen Stadt St.Gallen (kml)

de: geojson

de: Begegnungszonen Stadt St.Gallen (geojson)

de: csv

de: Begegnungszonen Stadt St.Gallen (csv)

de: Begegnungszonen Stadt St.Gallen (ov2)

de: jsonld

de: Begegnungszonen Stadt St.Gallen (jsonld)

de: turtle

de: Begegnungszonen Stadt St.Gallen (turtle)

de: Begegnungszonen Stadt St.Gallen (xls)

de: Begegnungszonen Stadt St.Gallen (gpx)

de: Begegnungszonen Stadt St.Gallen (shp)

de: parquet

de: Begegnungszonen Stadt St.Gallen (parquet)

de: Begegnungszonen Stadt St.Gallen (json)

de: rdfxml

de: Begegnungszonen Stadt St.Gallen (rdfxml)

de: Begegnungszonen Stadt St.Gallen (n3)

de: jsonl

de: Begegnungszonen Stadt St.Gallen (jsonl)

de: fgb

de: Begegnungszonen Stadt St.Gallen (fgb)

de: Realisierte Begegnungszonen, mit Angabe Gebiet, Nr. und Einführungsdatum


de: resultate abstimmungen

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (jsonl)

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (parquet)

de: json

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (json)

de: xls

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (xls)

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (n3)

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (fgb)

de: jsonld

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (jsonld)

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (rdfxml)

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (turtle)

de: csv

de: Abstimmungsresultate Stadt St.Gallen 2017-2019 (csv)

de: Der Datensatz zeigt die Anzahl Stimmen (Ja, Nein, leer, gültig, ungültig), sowie die Stimmbeteiligung der Abstimmungen der Jahre 2017 bis 2019 in der Stadt St.Gallen.

abstimmungen

display_name: abstimmungen

resultate

display_name: resultate

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: schule ferien feiertage

de: Schulferien und Feiertage Stadt St.Gallen (json)

de: Schulferien und Feiertage Stadt St.Gallen (jsonld)

de: rdfxml

de: Schulferien und Feiertage Stadt St.Gallen (rdfxml)

de: Schulferien und Feiertage Stadt St.Gallen (n3)

de: parquet

de: Schulferien und Feiertage Stadt St.Gallen (parquet)

de: turtle

de: Schulferien und Feiertage Stadt St.Gallen (turtle)

de: jsonl

de: Schulferien und Feiertage Stadt St.Gallen (jsonl)

de: fgb

de: Schulferien und Feiertage Stadt St.Gallen (fgb)

de: Schulferien und Feiertage Stadt St.Gallen (xls)

de: Schulferien und Feiertage Stadt St.Gallen (csv)

de: Der Datensatz zeigt die Daten der Schulferien und Feiertage in der Stadt St.Gallen.

feiertage

display_name: feiertage

ferien

display_name: ferien

schule

display_name: schule

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport


legislaturziele-stadt-st-gallen

title_for_slug: legislaturziele-stadt-st-gallen

de: vision-2030 stadtparlament stadtrat dienststellen

de: Legislaturziele Stadt St.Gallen (turtle)

de: Legislaturziele Stadt St.Gallen (jsonl)

de: json

de: Legislaturziele Stadt St.Gallen (json)

de: jsonld

de: Legislaturziele Stadt St.Gallen (jsonld)

de: Legislaturziele Stadt St.Gallen (fgb)

de: csv

de: Legislaturziele Stadt St.Gallen (csv)

de: Legislaturziele Stadt St.Gallen (rdfxml)

de: Legislaturziele Stadt St.Gallen (parquet)

de: Legislaturziele Stadt St.Gallen (n3)

de: xls

de: Legislaturziele Stadt St.Gallen (xls)

de:
Der
Stadtrat der Stadt St.Gallen bestimmt und veröffentlicht Legislatur- und Jahresziele, welche den Handlungsfeldern der Vision 2030 zugeordnet werden. Diese Ziele werden jeweils am Ende des Jahres, bzw. der Legislatur bewertet und im Geschäftsbericht der Stadt St.Gallen veröffentlicht. Der Datensatz zeigt die Legislaturziele und die jeweilige Bewertung bei abgeschlossenen Legislaturen.Mehr Informationen und die jeweiligen PDF-Dokumente finden Sie hier:Stadtrat: Vision 2030 und LegislaturzieleGeschäftsbericht: Legislatur- und Jahresziele, inkl. Bewertung

stadtparlament

display_name: stadtparlament

stadtrat

display_name: stadtrat

gove

de: Regierung und öffentlicher Sektor

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.

de: Legislaturziele Stadt St.Gallen


de: direktionen rechnung budget haushalt dienststellen

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (n3)

de: fgb

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (fgb)

de: jsonl

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (jsonl)

de: rdfxml

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (rdfxml)

de: turtle

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (turtle)

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (jsonld)

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (xls)

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (csv)

de: json

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (json)

de: parquet

de: Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung (parquet)

de: Der Datensatz zeigt das Budget 2021 der Stadt St.Gallen nach Institutioneller Gliederung. Ebenfalls enthalten sind die Rechnung 2019, das Budget 2020, sowie die Abweichung zum Budget 2021. Eine klickbare Visualisierung des Budgets finden Sie im Tab "Klickbares Budget".

econ

de: Wirtschaft und Finanzen

en: Economy and finance


de: rechnung budget

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (rdfxml)

de: jsonld

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (jsonld)

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (n3)

de: fgb

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (fgb)

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (jsonl)

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (turtle)

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (parquet)

de: xls

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (xls)

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (json)

de: csv

de: Kostenstellenplan Stadt St.Gallen (4-stellig) (csv)

de: Der Kostenstellenplan zeigt die Kostenstellen der Rechnungslegung der Stadt St.Gallen bis zu den 4-stelligen Konten. Dabei sind die bisheringen Kostenstellen bis zum Budget 2021 ausgewiesen, sowie die neuen Kostenstellen (ab Budget 2022).

stadt-st-gallen

de: Stadt St.Gallen

en: City of St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: strassen abfuhr entsorgung abfall

de: rdfxml

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (rdfxml)

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (jsonld)

de: parquet

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (parquet)

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (xls)

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (fgb)

de: turtle

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (turtle)

de: jsonl

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (jsonl)

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (csv)

de: json

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (json)

de: Strassen innerhalb St.Galler Abfuhrgebiete (Stand 2023) (n3)

de: Der Datensatz zeigt die St.Galler Strassen in den entsprechenden Abfuhrgebieten.

abfall

display_name: abfall

abfuhr

display_name: abfuhr

entsorgung

display_name: entsorgung

strassen

display_name: strassen

gove

de: Regierung und öffentlicher Sektor

en: With a population of 80,000, St.Gallen, Switzerland’s eighth largest city, is the economic, political, social and cultural metropolis of eastern Switzerland. Its 1400 years of history blend with urban creativity, an innovative economy and an unspoilt landscape.


de: infrastruktur verkehr

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (json)

de: rdfxml

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (rdfxml)

de: csv

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (csv)

de: kml

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (kml)

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (n3)

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (parquet)

de: geojson

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (geojson)

de: shp

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (shp)

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (jsonl)

de: jsonld

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (jsonld)

de: xls

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (xls)

de: gpx

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (gpx)

de: fgb

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (fgb)

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (ov2)

de: Haltestellen des öffentlichen Verkehrs im Kanton St.Gallen (turtle)

de: List of all stations in Switzerland. Original https://opentransportdata.swiss/de/dataset/didok

infrastruktur

display_name: infrastruktur

verkehr

display_name: verkehr

tran

de: Verkehr

en: Transport

stadt-st-gallen

de: Stadt St.Gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: sharing tier freefloating scooter

de: Verfügbare E-Scooter in der Stadt St.Gallen (n3)

de: jsonl

de: Verfügbare E-Scooter in der Stadt St.Gallen (jsonl)

de: Verfügbare E-Scooter in der Stadt St.Gallen (xls)

de: kml

de: Verfügbare E-Scooter in der Stadt St.Gallen (kml)

de: parquet

de: Verfügbare E-Scooter in der Stadt St.Gallen (parquet)

de: geojson

de: Verfügbare E-Scooter in der Stadt St.Gallen (geojson)

de: csv

de: Verfügbare E-Scooter in der Stadt St.Gallen (csv)

de: rdfxml

de: Verfügbare E-Scooter in der Stadt St.Gallen (rdfxml)

de: turtle

de: Verfügbare E-Scooter in der Stadt St.Gallen (turtle)

de: shp

de: Verfügbare E-Scooter in der Stadt St.Gallen (shp)

de: json

de: Verfügbare E-Scooter in der Stadt St.Gallen (json)

de: Verfügbare E-Scooter in der Stadt St.Gallen (jsonld)

de: Verfügbare E-Scooter in der Stadt St.Gallen (ov2)

de: Verfügbare E-Scooter in der Stadt St.Gallen (gpx)

de: Verfügbare E-Scooter in der Stadt St.Gallen (fgb)

de: Der Datensatz zeigt die verfügbaren E-Scooter in der Stadt St.Gallen. Die Daten stammen von der API der Shared Mobility Plattform des BFEs und beziehen sich auf sämtliche freefloating Angebote in der Stadt St.Gallen. Zurzeit sind in der Stadt St.Gallen lediglich die E-Scooter von Tier verfügbar.Weitere Informationen zum Datensatz unter: https://opendata.swiss/de/dataset/standorte-und-verfugbarkeit-von-shared-mobility-angebotenBeschreibung der API und der Daten unter: https://www.sharedmobility.ch/info und https://github.com/NABSA/gbfs/blob/v2.0/gbfs.md

freefloating

display_name: freefloating

scooter

display_name: scooter

sharing

display_name: sharing

tier

display_name: tier


de: passanten offene-sensordaten fussganger sensor real-time

de: jsonld

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (jsonld)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (csv)

de: parquet

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (parquet)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (json)

de: jsonl

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (jsonl)

de: kml

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (kml)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (rdfxml)

de: fgb

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (fgb)

de: xls

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (xls)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (turtle)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (n3)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (ov2)

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (shp)

de: gpx

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (gpx)

de: geojson

de: Passantenfrequenz Vadianstrasse, Stadt St.Gallen (Höhe St.Galler Stadtwerke) (geojson)

de: Die Stadt St.Gallen verfügt an der Vadianstrasse (Höhe St.Galler Stadtwerke) über einen Sensor, der die Anzahl vorbeigehender Fussgänger misst. Dieser Datensatz zeigt die Anzahl Personen von rechts (Neumarkt) und links (Multergasse) kommend, sowie deren Summe.

fussganger

display_name: fussganger

offene-sensordaten

display_name: offene-sensordaten

passanten

display_name: passanten

real-time

display_name: real-time

sensor

display_name: sensor

stadt-st-gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: fussganger verkehr langsamverkehr zahlstellen zahlung passanten fussverkehr

de: jsonld

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (jsonld)

de: json

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (json)

de: parquet

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (parquet)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (xls)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (geojson)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (gpx)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (n3)

de: rdfxml

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (rdfxml)

de: csv

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (csv)

de: kml

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (kml)

de: shp

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (shp)

de: turtle

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (turtle)

de: jsonl

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (jsonl)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (fgb)

de: Fussgängerzählungen Stadt St.Gallen (temporäre und periodische Zählungen) (ov2)

de: Der Fussverkehr in der Stadt St.Gallen wird an diversen Querschnitten temporär erhoben. Um Anhaltspunkte zur Entwicklung des Fussverkehrs zu erhalten, ist vorgesehen diese Zählung in regelmässigen Abständen zu wiederholen.Aufgrund der verwendeten Zähltechnik werden in Mischverkehrszonen auch Velofahrende und Motorfahrzeuge mitgezählt.Nur FussverkehrFG Poststrasse 17 SüdseiteFG Poststrasse 18 NordseiteKantiweg BurggrabenKantiweg Hst. TheaterGutenbergstrasse BahnhofplatzFussverkehr in MischverkehrszonenBei nachfolgenden zwei Querschnitten ist der überwiegende Teil des Aufkommens Fussverkehr. Der Motorfahrzeugverkehr an diesen beiden Querschnitten spielt eine untergeordnete Rolle. Die Zählstellen sind daher bezüglich Fussverkehr nicht ganz genau; für die Beurteilung der Entwicklung des Fussverkehrs sind sie jedoch genügend aussagekräftig.Marktgasse 20Neugasse 34

fussverkehr

display_name: fussverkehr

langsamverkehr

display_name: langsamverkehr


de: velodaten verkehr velo

de: fgb

de: Velozählungen Stadt St.Gallen ab 2016 (fgb)

de: Velozählungen Stadt St.Gallen ab 2016 (jsonl)

de: geojson

de: Velozählungen Stadt St.Gallen ab 2016 (geojson)

de: Velozählungen Stadt St.Gallen ab 2016 (shp)

de: Velozählungen Stadt St.Gallen ab 2016 (turtle)

de: xls

de: Velozählungen Stadt St.Gallen ab 2016 (xls)

de: Velozählungen Stadt St.Gallen ab 2016 (n3)

de: Velozählungen Stadt St.Gallen ab 2016 (csv)

de: Velozählungen Stadt St.Gallen ab 2016 (ov2)

de: json

de: Velozählungen Stadt St.Gallen ab 2016 (json)

de: jsonld

de: Velozählungen Stadt St.Gallen ab 2016 (jsonld)

de: gpx

de: Velozählungen Stadt St.Gallen ab 2016 (gpx)

de: Velozählungen Stadt St.Gallen ab 2016 (rdfxml)

de: Velozählungen Stadt St.Gallen ab 2016 (kml)

de: parquet

de: Velozählungen Stadt St.Gallen ab 2016 (parquet)

de: Seit dem Jahr 2011 zählt die Stadt St.Gallen Velofahrer an verschiedenen Zählstellen in der Stadt. Die Zahlen beziehen sich auf die Anzahl Velofahrer pro Stunde in beide Richtungen.

velo

display_name: velo

velodaten

display_name: velodaten

tran

de: Verkehr

stadt-st-gallen

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


de: langsamverkehr fussganger passanten

de: geojson

de: Fussgängerzone Stadt St.Gallen (geojson)

de: Fussgängerzone Stadt St.Gallen (parquet)

de: Fussgängerzone Stadt St.Gallen (ov2)

de: Fussgängerzone Stadt St.Gallen (jsonld)

de: Fussgängerzone Stadt St.Gallen (json)

de: shp

de: Fussgängerzone Stadt St.Gallen (shp)

de: jsonl

de: Fussgängerzone Stadt St.Gallen (jsonl)

de: csv

de: Fussgängerzone Stadt St.Gallen (csv)

de: Fussgängerzone Stadt St.Gallen (gpx)

de: fgb

de: Fussgängerzone Stadt St.Gallen (fgb)

de: xls

de: Fussgängerzone Stadt St.Gallen (xls)

de: kml

de: Fussgängerzone Stadt St.Gallen (kml)

de: rdfxml

de: Fussgängerzone Stadt St.Gallen (rdfxml)

de: Fussgängerzone Stadt St.Gallen (n3)

de: turtle

de: Fussgängerzone Stadt St.Gallen (turtle)

de: Realisierte Fussgängerzonen, mit Angabe Gebiet, Nr. und Einführungsdatum


ppv-parkflache

title_for_slug: ppv-parkflache

de: verkehr parkplatz parkieren auto

de: PPV Parkfläche (n3)

de: jsonld

de: PPV Parkfläche (jsonld)

de: geojson

de: PPV Parkfläche (geojson)

de: PPV Parkfläche (fgb)

de: PPV Parkfläche (turtle)

de: PPV Parkfläche (ov2)

de: PPV Parkfläche (xls)

de: parquet

de: PPV Parkfläche (parquet)

de: PPV Parkfläche (kml)

de: gpx

de: PPV Parkfläche (gpx)

de: json

de: PPV Parkfläche (json)

de: PPV Parkfläche (csv)

de: jsonl

de: PPV Parkfläche (jsonl)

de: PPV Parkfläche (rdfxml)

de: shp

de: Der Datensatz zeigt die öffentlichen Parkflächen in der Stadt St.Gallen.

de: St.Gallen, die achtgrösste Stadt der Schweiz, ist mit 80'000 Einwohnern die wirtschaftliche, politische, soziale und kulturelle Metropole der Ostschweiz. Ihre 1400-jährige Geschichte verbindet sich mit urbaner Kreativität, einer innovativen Wirtschaft und einer intakten Landschaft.


aktenplan-stadt-st-gallen

title_for_slug: aktenplan-stadt-st-gallen

de: akten organisation dokumente

de: xls

de: Aktenplan Stadt St.Gallen (xls)

de: fgb

de: Aktenplan Stadt St.Gallen (fgb)

de: rdfxml

de: Aktenplan Stadt St.Gallen (rdfxml)

de: Aktenplan Stadt St.Gallen (parquet)

de: csv

de: Aktenplan Stadt St.Gallen (csv)

de: jsonld

de: Aktenplan Stadt St.Gallen (jsonld)

de: Aktenplan Stadt St.Gallen (n3)

de: turtle

de: Aktenplan Stadt St.Gallen (turtle)

de: Aktenplan Stadt St.Gallen (jsonl)

de: Aktenplan Stadt St.Gallen (json)

de: Der Datensatz zeigt die Aktenplannummer und den dazugehörigen Titel mit der entsprechenden hierarchischen Gliederung.

akten

display_name: akten

dokumente

display_name: dokumente

organisation

display_name: organisation

gove

de: Regierung und öffentlicher Sektor

stadt-st-gallen

de: Stadt St.Gallen