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

en: Site photo of the field station (VOF)

en: Site photo of the field stationfrom the side.

en: Data plot of the forest station (VOB)

en: Site aerial photo (Vordemwald)

en: Site aerial photo from both Vordemwald stations. Source: Google. 2016. Site aerial photo from both Vordemwald stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Field station data (VOF)

en: Forest station data (VOB)

en: Data plot of the field station (VOF)

en: Site photo of the forest station (VOB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Vordemwald in Switzerland where one station is located within a natural mixed forest stand (VOB) with European silver fir (_Abies alba_; 110 yrs) and oak trees (_Quercus sp._; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Vordemwald is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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


maintainer: EnviDat Support

en: outgoing davos incoming shortwave-radiation longwave-radiation

state: active

type: dataset

en: DATA ACCESS

media_type: SMET

format: SERVICE

en: Metadata

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: Processing doc

en: Parameter file

media_type: text/plain

format: TXT

mimetype: text/plain

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH.

 References
1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019.
2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf.

davos

display_name: davos

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf


en: avalanche-accidents number-of-caught-persons number-of-dead-persons avalanche-accident-statistics avalanche-fatalities

en: Fatal avalanche accidents in Switzerland since 1995-1996

media_type: CSV

format: CSV

mimetype: text/csv

en:
This data collection contains information concerning all accidents by snow avalanches causing at least one fatality in Switzerland. The data set commences on 01/10/1995. After the completion of a hydrological year, the new data is added.

The following information is provided:

 * avalanche identifier
 * date of the accident
 * accuracy of the date in range of days before and after
 * canton
 * name of the locality
 * start zone of the avalanche
  * coordinates (Swiss coordinate system, approximately in middle of start zone)
  * accuracy of the coordinates in meters
 * elevation (in meteres above sea level, app. in middle of start zone)
 * slope aspect (main orientation of start zone)
 * slope inclination (in degree, steepest point within start zone)
 * number of dead persons
 * number of caught persons
 * number of fully buried persons
 * forecasted avalanche danger level
 * activity/location of the accident party at the time of the incident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

number-of-caught-persons

display_name: number-of-caught-persons

number-of-dead-persons

display_name: number-of-dead-persons


maintainer: Francesco Comola

en: snow wind saltation cohesion sediment sand

en: Output of the model simulations

media_type: application/zip

en: Model results on granular splash and saltation process of sand and snow particles

format: ZIP

mimetype: application/zip

en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.

The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.

In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

snow

display_name: snow

wind

display_name: wind

en: Saltation of cohesive granular materials


maintainer: Jürg Schweizer

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

en: Snow avalanche data

media_type: text/csv

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

en: Avalanche activity data

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

en: Readme

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

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

en: Snow avalanche data Davos, Switzerland, 1999-2019


en: climate ecological-indicator-values soil grain-size taxonomic-diversity functional-diversity phylogenetic-diversity

en: Data access

media_type: ZIP

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

education

en: Education and science

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: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


backward-trajectories

maintainer: Michael Sprenger

title_for_slug: backward-trajectories

en: alps raclets backward-trajectories lagrangian-analysis cosmo atmospheric-dynamics complex-topopgraphy

en: Backward Trajectories

en: The trajectories are started from surface up to 5000 m altitude, with an equidistant vertical spacing of 200 m, and calculated 120 h backward in time. As long as the trajectories stay in the COSMO1 domain (essentially the Alpine region), as run operationally at MeteoSwiss, the COSMO analysis wind fields are used. When the trajectories leave this domain, they are extended further backward in time based on ECMWF analysis data. The following fields are traced along the trajectories: longitude, latitude, geopotential height, pressure, specific humidity, temperature and surface topography. Furthermore, it is indicated for each trajectory time instance on which model data, COSMO or ECMWF, the trajectory time is based. Finally, the trajectories are started every hour in the specified time period, and positions and fields are available every 10 min. Each day is saved as a separate file. The last 8 digits of the file names indicate the starting date of the trajectories.

en: Backward trajectories were calculated from two positions: Davos Wolfgang (LON: 9.85361, LAT: 46.83551) and Weissfluhjoch (LON: 9.80646 LAT: 46.83304) for the time period February 2 until March 27 2019 using COSMO or ECMWF, respectively.

alps

display_name: alps

atmospheric-dynamics

display_name: atmospheric-dynamics

backward-trajectories

display_name: backward-trajectories

complex-topopgraphy

display_name: complex-topopgraphy

cosmo

display_name: cosmo

lagrangian-analysis

display_name: lagrangian-analysis

raclets

display_name: raclets

en: Backward  Trajectories


en: cmip5 climate-change orographic-precipitation precipitation-amount air-temperature

en: Download Server

en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.

CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount

en: High resolution monthly precipitation and temperature timeseries for the period 2006-2100


maintainer: Leonie Schönbeck

en: vpd fluorescence drought pinus-sylvestris photosynthesis gas-exchange acclimation

en: Methods survey

media_type: .csv

en: Parameters and methods for point measurements / survey measurements

en: Methods diurnal measurements

en:
Parameters and methodology for diurnal measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Instrument details

en:
Instrument details for all LiCor instruments used during collection of dataset.

Metatdata created following guidelines from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods fluorescence

en:
Parameters and methodology for Fluorescence measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Variable names and units

media_type: XLSX

en: Variable names, description and units for the Pfynwald Gas exchange data

format: XLS

en: Pfynwald gas exchange

en:
Full dataset of Pfynwald gas exchange data taken in the period from June 2013 to October 2020.
All metdata can be found in attached documents.
Data uploaded after quality control using guidelines by Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods light response

en: Methods and parameters for light response curves

en: Methods ACi curves

en:
Parameters and methods for CO2 response curves of Photosynthesis.

Metatdata format by
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en:
Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds.
All metadata can be found in the attached documents.

acclimation

display_name: acclimation

drought

display_name: drought

fluorescence

display_name: fluorescence

gas-exchange

display_name: gas-exchange

photosynthesis

display_name: photosynthesis

pinus-sylvestris

display_name: pinus-sylvestris

vpd

display_name: vpd

en: 2013-2020 gas exchange at Pfynwald


en: review switzerland manure bioenergy biogas

en: Production de biogaz à partir d’engrais de ferme en Suisse

media_type: PDF

en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

education

en: Education and science

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: uas swe snow-depth snow remote-sensing

en: .tfw file

media_type: tfw

en: coordinates for the .tif raster

en: HS map Brämabül, 14. April 2015

media_type: image/tiff

en:
10 cm resolution
15 cm accuracy

format: TIFF

mimetype: image/tiff

en:
This snow depth map was generated 14 January 2015, close to peak of winter accumulation, applying Unmanned Aerial System digital surface models with a spatial resolution of 10 cm. The covered area is 285'000 m2 at the top of Brämabüel, 2490 m a.s.l. covering all expositions. Coordinate system: CH1903LV03.

A detailed description is given here:

Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, 2016.

Abstract:
Detailed information on the spatial and temporal distribution, and variability of snow depth (HS) is a crucial input for numerous applications in hydrology, climatology, ecology and avalanche research. Nowadays, snow depth distribution is usually estimated by combining point measurements from weather stations or observers in the field with spatial interpolation algorithms. However, even a dense measurement network is not able to capture the large spatial variability of snow depth in alpine terrain.
Remote sensing methods, such as laser scanning or digital photogrammetry, have recently been successfully applied to map snow depth variability at local and regional scales. However, such data acquisition is costly, if manned airplanes are involved. The effectiveness of ground-based measurements on the other hand, is often hindered by occlusions, due to the complex terrain or acute viewing angles. In this paper, we investigate the application of unmanned aerial systems (UAS), in combination with structure-from-motion photogrammetry, to map snow depth distribution. Such systems have the advantage that they are comparatively cost-effective and can be applied very flexibly to cover also otherwise inaccessible terrain. In this study we map snow depth at two different locations: a) a sheltered location at the bottom of the Flüela valley (1900 m a.s.l.) and b) an exposed location (2500 m a.s.l.) on a peak in the ski resort Jakobshorn, both in the vicinity of Davos, Switzerland. At the first test site, we monitor the ablation on three different dates. We validate the photogrammetric snow depth maps using simultaneously acquired manual snow depth measurements. The resulting snow depth values have a root mean square error (RMSE) better than 0.07 to 0.15 m on meadows and rocks and a RMSE better than 0.30 m on sections covered by bushes or tall grass. This new measurement technology opens the door for efficient, flexible, repeatable and cost effective snow depth monitoring for various applications, investigating the worlds cryosphere.

remote-sensing

display_name: remote-sensing

snow

display_name: snow

snow-depth

display_name: snow-depth

swe

display_name: swe

uas

display_name: uas

en: UAS based snow depth maps Brämabüel, Davos, CH


maintainer: Benjamin Reuter

en: snow avalanche-problem-type weissfluhjoch snow-instability avalanche-activity avalanche-danger snowpack snow-cover-modeling crocus avalanche

en: 1999-2017 Avalanche problem types from SNOWPACK

en:
Avalanche problem types were derived from snow cover simulations with the model SNOWPACK at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are shown in Figure 8 in Reuter et al. (2021).

en: 2015-2016 Avalanche problem types from Crocus

en:
Avalanche problem types were derived from a snow cover simulation with the model Crocus for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en: 2015-2016 Avalanche problem types from SNOWPACK

en:
Avalanche problem types were derived from a snow cover simulation with the model SNOWAPCK for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en: 2015-2016 Seismic avalanche acitivity catalogue

en:
Avalanches were indentified in seismic data recorded by two seismic arrays, one deployed at Wannengrat (2,500 m) and another one deployed in the Dischma valley (2,000 m).
The data cover the period from 01.01.2016 - 30.04.2016 and are presented in Figure 7 in Reuter et al. (2021).

en: 1999-2017 Avalanche problem types from Crocus

en:
Avalanche problem types were derived from snow cover simulations with the model Crocus at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are presented in Figure 8 in Reuter et al. (2021).

en:
Avalanche problem types were derived from snow cover simulations with the models Crocus and SNOWPACK at the Weissfluhjoch study plot, Davos, CH. The data include annual frequencies of avalanche problem types for the seasons 1999-2017 and daily presence of avalanche problem types for the period 01.01.2016 - 30.04.2016.
Avalanche activity was derived from two seismic sensor arrays deployed no further than 15 km from Weissfluhjoch, Davos, CH. The data cover the period 01.01.2016 - 30.04.2016.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

avalanche-danger

display_name: avalanche-danger

avalanche-problem-type

display_name: avalanche-problem-type

crocus

display_name: crocus

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

weissfluhjoch

display_name: weissfluhjoch

en: Simulated avalanche problem types and seismic avalanche activity around Weissfluhjoch


maintainer: Henning Löwe

en: snow-mechanics 3d-ct-images unconfined-compression-experiments microstructure discrete-element-modelling spherical-model-snow

en: Data Access

media_type: HTTPS

en: Data Structure (Python Notebook - view online)

media_type: ipynb

en: Data Structure (Python Notebook)

en:
For the investigation of microstructural and mechanical properties of snow unconfined compression experiments and 3D computed tomography (CT) imaging were performed on sintered rounded grain snow and spherical model snow. The spherical model snow was generated to create geometrically simplified, well-defined microstructures for calibration of numerical models, such as discrete element models (DEM) in which the microstructure is represented by spherical particles.
In the experiments, microstructural variation was created by varying the sintering time (contact size) and the density of the ice sphere samples (number of contacts). The 3D CT images allow for a complete reconstruction of the entire experimental sample (cylindrical sample dimension: diameter = 33.6 mm; height = 14 mm).

discrete-element-modelling

display_name: discrete-element-modelling

microstructure

display_name: microstructure

snow-mechanics

display_name: snow-mechanics

spherical-model-snow

display_name: spherical-model-snow

unconfined-compression-experiments

display_name: unconfined-compression-experiments

education

en: Education and science

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: Unconfined compression experiments and 3D CT images of spherical model snow and RG snow samples


maintainer: Jana von Freyberg

en: uncertainties endmember-mixing-models plant-water-uptake review ecohydrology stable-water-isotopes root-zone

en: Data set of MEE-20-04-264 (CSV)

en: Data set of MEE-20-04-264

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal ‘Methods in Ecology and Evolution’.

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal 'Methods in Ecology and Evolution'.

ecohydrology

display_name: ecohydrology

endmember-mixing-models

display_name: endmember-mixing-models

plant-water-uptake

display_name: plant-water-uptake

review

display_name: review

root-zone

display_name: root-zone

stable-water-isotopes

display_name: stable-water-isotopes

uncertainties

display_name: uncertainties

en: Data set of: Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

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

en: data set on snow instability

en: Read-me file on snow instability data

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.

Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

en: Data set on snow instability


en: snow-density microstructure antarctica snow-density-profile snowmicropen

en: Python code exported from the Jupyter notebook for processing the SnowMicroPen files

media_type: py

en: Documentation SnowMicroPen measurements

media_type: .zip

en: This *.zip archive contains all available documentation of the SnowMicroPen measurements, including the mapping of the SMP measurements in the terrestrial laser scan field at PEA (see documentation for 20161220) and at the Hammarryggen Ice Rise (see documentation for 20190104 and 20190111).

en: SnowMicroPen pts files and processed txt files

en: Zip archive containing the acquired *.pts files (binary files recorded by the SnowMicroPen), and the converted *.txt files using the SMP.ipynb jupyter notebook (see the python code in the other resources in this dataset)

en: Jupyter notebook for processing the SnowMicroPen files.

en: Manual snow pits and other snow density measurements

media_type: .txt

en: List of SnowMicroPen measurements

en: List of all SnowMicroPen measurements, including date and location, and processing status. This list has been generated by the python code (see other resources in this dataset).

en: SnowMicroPen (SMP) measurements and manual snowpits from Dronning Maud Land, East Antarctica. Measurements were taken in the vicinity of the Belgium Princess Elisabeth Station (PEA), in a transect towards the coast, and on the Lokeryggen and Hammarryggen Ice Rises near the coast. Measurements were taken during 3 individual campaigns in the 2016-2017, 2018-2019 and 2019-2020 field seasons.

antarctica

display_name: antarctica

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snow-density-profile

display_name: snow-density-profile

snowmicropen

display_name: snowmicropen

en: SnowMicroPen measurements and manual snowpits from Dronning Maud Land, East Antarctica


en: snowmelt-lysimeter snowpack-outflow stable-water-isotopes snowmelt-rate solutes

en: The dataset contains volumes, solutes and stable water isotopes of snowpack outflow at daily resolution. 10-minute data are provided of the measurements taken by three snowmelt lysimeter systems at spatially-distributed locations.

en:
This data contain volumes, solutes and isotopes of snowpack outflow measured by a snowmelt lysimeter system at three locations in the southern Alp catchment, situated Central Switzerland. The river Alp is a snow-dominated catchment situated in Central Switzerland characterized by an elevation range from 840 to 1898 m a.s.l.
The dataset provides solutes (major anions and cations, trace metals) and stable water isotopes and water fluxes (snowpack outflow volumes) at daily intervals from several sampling locations. Additionally, the data measured by the snowmelt lysimeter system are provided in 10-minute resolution.

snowmelt-lysimeter

display_name: snowmelt-lysimeter

snowmelt-rate

display_name: snowmelt-rate

snowpack-outflow

display_name: snowpack-outflow

solutes

display_name: solutes

stable-water-isotopes

display_name: stable-water-isotopes

education

en: Education and science

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: Daily data of the volumes, solutes and isotopes in snowpack outflow measured at three locations in the southern Alp catchment


en: functional-taxonomic-group endemic climate-change-impact madeira-island bryophyte-life-strategy moss biodiversity climate-change lichen-growthform functional-taxonomic-groups elevational-gradient liverwort lichen-growth-form bryophyte lichen photobiont disturbance endemic-species

en: MadCrypto – Bryophyte and macrolichen diversity in laurel forests of Madeira

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science.

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science 30: 1122–1133.

The excel file contains 5 sheets:
1) Plot information
2) Bryophyte data with species specific information, separated per substrate
3) Macrolichen data with species specific information, separated per substrate
4) Bryophyte data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 2 and 4 might therefore differ slightly.
5) Macrolichen data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 3 and 5 might therefore differ slightly.

biodiversity

display_name: biodiversity

bryophyte

display_name: bryophyte

bryophyte-life-strategy

display_name: bryophyte-life-strategy

climate-change

display_name: climate-change

climate-change-impact

display_name: climate-change-impact

disturbance

display_name: disturbance

elevational-gradient

display_name: elevational-gradient

endemic

display_name: endemic

endemic-species

display_name: endemic-species

functional-taxonomic-group

display_name: functional-taxonomic-group

functional-taxonomic-groups

display_name: functional-taxonomic-groups

lichen

display_name: lichen

lichen-growth-form

display_name: lichen-growth-form

lichen-growthform

display_name: lichen-growthform

liverwort

display_name: liverwort

madeira-island

display_name: madeira-island

moss

display_name: moss

photobiont

display_name: photobiont


en: urban-compactness forest-gain built-up-classification topography planning-outcome land-use-and-cover-change spatial-modelling urban-sprawl urban-morphology forest-persistence nature-conservation basic-services

media_type: geotiff

en: Native forest cover gains from 2005 to 2015

format: GeoTIFF

en: Increase in waste collection service

en: Topographic Index Position (TPI)

en: infill

en: New built-up pixels classified as infill

en: Descricao dos dados em portiuguês

en: Portugues description

en: Population density per pixel (change per year)

en: isolated

en: New built-up pixels classified as isolated

media_type: SHP

en: Master plan Ihabela (zones)

format: SHP

en: Increase in clean water provision service

en: Ecological-Economic Zoning (EEZ)

en: Permanent housing density increase

en: Increase in sanitation service

en: Native forest cover persistence from 2005 to 2015

en: Urban persistence: Built-up 2005 = Built-up 2015

media_type: .shp

en: Master plan Ubatuba (zones)

en: Variables description

en: Table of content. Variables description, source, and other important information

en:
Basic education in % per census sector (change per
year)

en: Axial

en: New built-up pixels classified as axial

en: slope

en: Slope °

en: Mean income in Reais (R$) per census sector (change per year)

en: Increase in Normalized Difference Vegetation Index

en: Human Development Index (HDI) per municipality (change per year)

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


maintainer: Matthias Haeni

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

en: Site photo of the field station (JUF)

media_type: image/jpeg

en: Site photo of the field station from the side.

mimetype: image/jpeg

en: Site aerial photo (Jussy)

en: Site aerial photo from both Jussy stations. Source: Google. 2016. Site aerial photo from both Jussy stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Site photo of the forest station (JUB)

en: Site photo of the forest station from the side.

en: Data plot of the field station (JUF)

media_type: application/pdf

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Data plot of the forest station (JUB)

en: Forest station data (JUB)

en: Data file.

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

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

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


maintainer: James W. Kirchner

en: ecohydrology sap-flow diel-cycle streamflow diurnal-cycle evapotranspiration groundwater snowmelt

en: 30-minute time series

media_type: text/plain

en: 30-minute hydrometeorological and ecohydrological time series.

en: MODIS EVI2 script

en: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

en: Metadata

en: Column descriptions for both data files, and map coordinates for all measurement locations.

en: Subcatchment polygons

en: Subcatchment polygons for use in the Google Earth Engine scripts.

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en: MODIS NDSI script

en: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

- groundwater levels (in two riparian transects of shallow groundwater wells),

- and stream stages (at 12 sites spanning a 500-meter elevation gradient),

and daily time series of

- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations

- diel cycle index values for groundwater levels and stream stages,

- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.

Google Earth Engine scripts for extracting the MODIS data are also provided.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA


weissfluhjoch-dataset-for-esm-snowmip

maintainer: Nander Wever

title_for_slug: weissfluhjoch-dataset-for-esm-snowmip

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

en: ini file

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

media_type: application/zip

en: Conversion script

media_type: text/x-sh

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: Dataset Weissfluhjoch for ESM-SnowMIP

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

weissfluhjoch

display_name: weissfluhjoch

education

en: Education and science

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: Weissfluhjoch dataset for ESM-SnowMIP


maintainer: Ana Beatriz Pierri Daunt

en: decision-making sense-of-place planning multifunctionality landscape-planning literature-review resilience landscape-perception green-infrastructure landscape-services landscape-ecology socio-ecological-system pdfsearch ecosystem-services

en: 6. Protocol

media_type: XLSX

en: 5. Planning steps.

media_type: CSV

en: 4. Use of any additional concept.

en: 3. Use of any early concept.

en: 2. Frequency of additional concepts.

en: 1. Frequency of early concepts.

en:
Table of content: 1. Frequency of early concepts; 2. Frequency of additional concepts; 3. Use of any early concept; 4. Use of any additional concept, 5. Planning steps; 6. Protocol.

The present dataset is part of the published scientific paper entitled “Landscape ecological concepts in planning: review of recent developments” (Hersperger et al., 2021). The goal of this research was to review recent publications to assess the use of landscape ecological concepts in planning. Specifically, we address the following research questions: Q1. Landscape ecological concepts: What are they? How frequently are they mentioned in current research? Q2. How are landscape ecological concepts integrated in landscape planning?

We analysed all empirical and overview papers that have been published in four key academic journals in the field of landscape ecology and landscape planning in the years 2015–2019 (n = 1918). Four key journals in the field of landscape ecology were selected to conduct the analysis, respectively Landscape Ecology (LE), Landscape Online (LO), Current Landscape Ecology Reports (CLER), and Landscape and Urban Planning (LUP). The title, abstract and keywords of all papers were read in order to identify landscape ecological concepts. Then, all 1918 papers went through a keyword search to identify the use of early and additional concepts. We used the “pdfsearch” package in R programming language and searched for singular and plural forms and different variations of the concepts (see Supplementary material 1, Table A). As a result, we provided four outputs:

  1. Frequency of early concepts. This data provides the total number of times each article used each early concept (Q1). This data was used to produce the Figure 2a at the original publication.

  2. Frequency of additional concepts. This data provides the total number of times each article used each additional concept (Q1). This data was used to produce the Figure 2b at the original publication.

  3. Use of any early concept. This data provides the total number of times each article used any early concept (Q1).
This data was used to produce the Figure 3a at the original publication.

  4. Use of any additional concept. This data provides the total number of times each article used any additional concept (Q1). This data was used to produce the Figure 3b at the original publication.

To address the second question (Q2), the title, abstract and keywords of the papers included in our sample (n=1918 articles) were screened to identify papers that might show how landscape ecological concepts are integrated into planning. We selected 52 empirical papers (see Supplementary material – 4 Integration of landscape ecological concepts into planning), and we provided two outputs:

  5. Planning steps. This data provides the number of times landscape ecological concepts were addressed in each
planning steps in 52 empirical papers analysed in detail (Q2). This data was used to produce the Figure 4 at the
original publication.

  6. Protocol for assessing the integration of landscape ecological concepts into planning. To systematically collect the
data, we used this protocol which addressed the following questions: (a) which type of planning is addressed by the
paper? (b) to which planning level does the paper refer to? (c) which concepts are integrated in any of the planning
steps described above?

decision-making

display_name: decision-making

ecosystem-services

display_name: ecosystem-services

green-infrastructure

display_name: green-infrastructure

landscape-ecology

display_name: landscape-ecology

landscape-perception

display_name: landscape-perception

landscape-planning

display_name: landscape-planning

landscape-services

display_name: landscape-services

literature-review

display_name: literature-review

multifunctionality

display_name: multifunctionality

pdfsearch

display_name: pdfsearch

planning

display_name: planning

resilience

display_name: resilience

sense-of-place

display_name: sense-of-place

socio-ecological-system

display_name: socio-ecological-system

en: The usage of landscape ecological concepts in the planning literature


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

label: Geometadaten Kanton Zürich: GeoLion

label: geocat.ch permalink

spatial: Kanton Zürich

de: Download via GIS-Browser

de: Der Seebautenkataster ist ein Übersichtsplan der zürcherischen Seen. Er enthält die Bauten und Anlagen der gültigen Konzessionen und Bewilligungen wie auch die Dimensionen der konzedierten Landanlagen.

name:
Amt für Abfall, Wasser, Energie und Luft
             - Abteilung Wasserbau

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

political_level: canton

value: ZH - Geocat Harvester

de: Seebautenkataster


maintainer: Ionuț Iosifescu Enescu

en: huge map 100GB

en: map 2GB

en: map 0.2GB

en: large map 10GB

en: map 1GB

en: map preview 0.5MB

en: map 0.5GB

en: Bulk Data Access

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

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

education

en: Education and science

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


schwermetallbelastung-des-bodens

title_for_slug: schwermetallbelastung-des-bodens

fr: SPARQL Endpoint avec présélection du graphe

de: SPARQL Endpoint mit Vorauswahl des Graph

en: SPARQL Endpoint with graph preselection

media_type: application/sparql-query

mimetype: application/sparql-query

media_type: text/html

format: HTML

mimetype: text/html

fr: Les données mesurées sont des moyennes des concentrations de métaux lourds relevées sur les 20 cm supérieurs du sol sur 100 sites d'observation à long terme de l'Observatoire national des sols (NABO).

de: Bei den Messdaten handelt es sich um Erhebungsmittelwerte von Schwermetallkonzentrationen in den obersten 20 cm des Bodens von rund 100 Dauerbeobachtungsstandorten der Nationalen Bodenbeobachtung NABO.

en: The measurement data are the surveyed mean values of heavy metal concentrations recorded in the top 20 cm of the soil in around 100 permanent monitoring sites operated by the Swiss National Soil Monitoring Network (NABO).

it: I dati misurati sono valori medi delle concentrazioni di metalli pesanti rilevate nei 20 cm dello strato superiore del suolo presso circa 100 siti di osservazione a lungo termine dell'Osservatorio nazionale dei suoli (NABO).

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

political_level: confederation

value: LINDAS DCAT Harvester BAFU

fr: Pollution du sol par les métaux lourds

de: Schwermetallbelastung des Bodens

en: Heavy Metal Soil Contamination

it: Carico di metalli pesanti nel suolo


fr: Pourcentage de la population, des appartements et des bâtiments exposés au bruit de la circulation routière, ferroviaire et aérienne de jour et de nuit. Les données sont issues d'une modélisation effectuée à l'échelle nationale utilisant le modèle sonBASE.

en: Percentage of the population, flats and buildings exposed to road, rail and air traffic noise during the day and night. The data is based on area-wide model calculations (sonBASE).

de: Anteil der Bevölkerung, Wohnungen und Gebäude, die tagsüber und nachts durch Straßen-, Schienen- und Fluglärmbelastung ausgesetzt sind. Die Daten basieren auf flächendeckenden Modellberechnungen (sonBASE).

it: Percentuale della popolazione, degli appartamenti e degli edifici esposti al rumore del traffico stradale, ferroviario e aereo diurno e notturno. I dati sono derivati da un esercizio di modellazione nazionale utilizzando il modello sonBASE.

air-traffic-noise

display_name: air-traffic-noise

bruit-du-trafic-aerien

display_name: bruit-du-trafic-aerien

bruit-du-trafic-ferroviaire

display_name: bruit-du-trafic-ferroviaire

bruit-du-trafic-routier

display_name: bruit-du-trafic-routier

eisenbahnlarm

display_name: eisenbahnlarm

fluglarm

display_name: fluglarm

rail-traffic-noise

display_name: rail-traffic-noise

road-traffic-noise

display_name: road-traffic-noise

rumore-del-traffico-aero

display_name: rumore-del-traffico-aero

rumore-del-traffico-ferroviaro

display_name: rumore-del-traffico-ferroviaro

rumore-del-traffico-stradale

display_name: rumore-del-traffico-stradale

strassenverkehrslarm

display_name: strassenverkehrslarm

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

territory

en: Territory and environment

fr: Exposition au bruit du trafic

de: Lärmbelastung durch Verkehr

en: Traffic noise pollution

it: Esposizione al rumore del traffico


fr: trafic air pollution-atmospherique accord-sur-les-transports-terrestres transit

de: luftbelastung verkehr luft transitverkehr landverkehrsabkommen

fr: Le projet "Suivi des mesures d’accompagnement Environnement" (SMA-E) mesure la pollution atmosphérique et sonore le long des axes de transit A2 et A13. Il doit permettre d'évaluer l'impact environnemental du trafic de marchandises sur les axes nord-sud. Dans le domaine de l'environnement, cette mesure permet de contrôler la mise en œuvre de la loi sur le transfert du trafic et l'efficacité des mesures d'accompagnement dans le cadre de la politique de transfert de la Confédération.

de: Das Projekt "Monitoring flankierende Massnahmen Umwelt" (MFM-U) misst die Luft- und Lärmbelastung entlang der Transitachsen A2 und A13. Damit soll die Umweltbelastung des Güterverkehrs auf den Nord-Süd-Achsen aufgezeigt werden. Damit wird im Bereich Umwelt die Umsetzung des Verlagerungsgesetzes und die Wirksamkeit der flankierenden Massnahmen im Rahmen der Verlagerungspolitik des Bundes überprüft.

en: The project "Monitoring flankierende Massnahmen Umwelt" (MFM-U) measures air and noise pollution along the A2 and A13 transit axes. This is intended to show the environmental impact of freight traffic on the north-south axes. In this way, the implementation of the Transfer of Traffic Act and the effectiveness of the accompanying measures within the framework of the federal government's transfer policy are examined in the area of the environment.

it: Il progetto "Monitoraggio delle misure di accompagnamento” (MMA-A) misura l'inquinamento atmosferico e acustico lungo gli assi di transito A2 e A13. L'obiettivo è quello di quantificare l'impatto ambientale del traffico merci sugli assi nord-sud, per verificare l’efficacia ambientale dell'attuazione della legge sul trasferimento del traffico e delle misure di accompagnamento nell'ambito della politica di trasferimento della Confederazione.

accord-sur-les-transports-terrestres

display_name: accord-sur-les-transports-terrestres

air

display_name: air

landverkehrsabkommen

display_name: landverkehrsabkommen

luft

display_name: luft

luftbelastung

display_name: luftbelastung

pollution-atmospherique

display_name: pollution-atmospherique

trafic

display_name: trafic

transit

display_name: transit

transitverkehr

display_name: transitverkehr

verkehr

display_name: verkehr

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

fr: Pollution atmosphérique  le long de l'A2 et de l'A13 - Moyennes annuelles - NO et NO2

en: Air pollution along the A2 and A13 - annual averages - NO and NO2

de: Luftbelastung entlang der A2 und der A13 - Jahresmittelwerte - NO und NO2

it: Inquinamento atmosferico lungo la A2 e la A13 - Medie annuali - NO e NO2


qualitat-der-badegewasser

title_for_slug: qualitat-der-badegewasser

name: Païvi Rinta, Sektion Hydr. Grundlagen Gewässerzustand

fr: Les relevés de la qualité des eaux de baignade permettent d’évaluer la qualité hygiénique des eaux à l’aide des indicateurs que sont E. coli et les entérocoques intestinaux. Les informations fournies servent à déterminer l’efficacité des mesures de protection des eaux, notamment si les stations d’épuration remplissent leur fonction.

de: Die Erhebungen zur Badegewässerqualität beurteilen die hygienische Qualität der Gewässer anhand der E.Coli und intestinalen Enterokokken. Sie geben Hinweise darauf, wie gut Gewässerschutzmassnahmen greifen, und insbesondere wieweit die Abwasserreinigungsanlagen ihre Funktion erfüllen.

en: The assessment of bathing waters is made on the basis of hygienic quality using E.coli and intestinal enterococci. They provide indications on the effectiveness of water protection measures and in particular the extent to which waste water treatment plants are fulfilling their function.

it: I rilevamenti per la determinazione della qualità delle acque di balneazione valutano la qualità igienica delle acque in base all’E. coli e agli enterococchi intestinali. Forniscono informazioni sull’incisività delle misure di protezione delle acque, in particolare sull’efficienza degli impianti di depurazione delle acque di scarico.

territory

de: Raum und Umwelt

fr: Qualité des eaux de baignade

de: Qualität der Badegewässer

en: Bathing water quality

it: Qualità delle acque di balneazione


maintainer: Bundesamt für Energie BFE

fr: Contenu des bassins d'accumulation, dimanche 24:00 heures, bulletin hebdomadaire

it: Grado di riempimento dei bacini di accumulazione, domenica alle ore 24, rapporto settimanale livello di accumulazione

author: Bundesamt für Energie BFE

media_type: SERVICE

fr:
Ce relevé, élaboré chaque dimanche à 24h00, recense le contenu (en GWh et en %) des bassins d'accumulation suisses dans 4 régions différentes.
Le taux de remplissage des bassins d'accumulation est relevé dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Der Füllungsgrad der Speicherseen, Sonntag 24h, Wochenbericht Speicherinhalt gibt Auskunft über den Speicherinhalt der Schweizer Speicherseen für vier Regionen in GWh und als Füllgrad in % jeweils am Sonntag 24h auf wöchentlicher Basis. Der Füllungsgrad der Speicherseen wird im Rahmen der Elektrizitätsstatistik erhoben, welche Teil der öffentlichen Statistik der Schweiz ist (gesetzliche Grundlage: BStatG).

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

energy

fr: Energie

de: Energie

en: Energy

it: Energia

territory

fr: Territoire et environnement

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

it: Territorio e ambiente

de: see sickerwasser quelle gewasser zoneneinteilung binnengewasser fluss grundwasserschutz gewasserschutz

spatial: Kanton Bern (erweitert)

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: La carte de la protection des eaux du canton de Berne comporte les zones et périmètres de protection des eaux souterraines ainsi que les secteurs de protection des eaux. Y figurent également les captages d'eau potable d'intérêt public. Les thèmes du cadastre RDPPF suivantes se trouvent dans le géoproduit GSK25: - zones de protection des eaux souterraines (GeoIV 131) - périmètres de protection des eaux souterraines (GeoIV 132)

de: Die Gewässerschutzkarte des Kantons Bern beinhaltet die rechtsgültigen Grundwasserschutzzonen und -areale sowie die Gewässerschutzbereiche. Im Weiteren sind in der Karte die wichtigen Grundwasserpumpwerke und Quellen enthalten. Folgende ÖREB-Katasterthemen sind in diesem Geoprodukt GSK25 enthalten: - Grundwasserschutzzonen (GeoIV 131) - Grundwasserschutzareale (GeoIV 132)

name: Amt für Wasser und Abfall - Betriebe und Abfall / Grundwasser und Altlasten

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

value: Bern-Kt - Geocat Harvester

fr: Carte de la protection des eaux

de: Gewässerschutzkarte


parzellennummern

title_for_slug: parzellennummern

de: grundbuch eigentumsordnung kataster

spatial: Kanton Bern

fr: Le produit Numéros de parcelles contient les numéros géoréférencés de parcelles (bien-fonds ainsi que les droits distincts et permanents) du canton de Berne. Par le fait que les numéros de parcelles soient connues par leurs coordonnées (y et x), DIPANU permet de rechercher des parcelles dans le canton de Berne.

de: Das Produkt Parzellennummern beinhaltet die georeferenzierten Nummern von Grundstücken (Liegenschaften und Selbstständige, dauernde Rechte) im Kanton Bern. Dadurch, dass die Grundstücknummern mit ihren Koordinaten (y und x) abgelegt sind, dient DIPANU als Suchinstrument von Grundstücken innerhalb des Kantons Bern.

fr: Numéros de parcelles

de: Parzellennummern


gewassernetz-des-kantons-bern

territory

de: Raum und Umwelt

title_for_slug: gewassernetz-des-kantons-bern

de: fliessgewasser gewassernamen gewasser

fr: Le réseau hydrographique du canton de Berne GNBE comprend les lignes des cours d'eau et des lacs du canton de Berne, et est constitué par des tronçons de cours d'eau reliés entre eux. Les tronçons retracent pour chaque cours d'eau son cours principal, ainsi que ses éventuels cours secondaires.

de: Das Gewässernetz des Kantons Bern GNBE enthält die Gewässerachsen von Flüssen, Bächen und Seen des Kantons Bern und besteht aus an den Endpunkten verbundenen Gewässerabschnitten. Gewässerabschnitte werden pro Gewässer zu einem Hauptlauf und abhängig der Situation zu Nebenläufe zusammengefasst.

name: Amt für Geoinformation - Grundstückinformationen

fr: Réseau hydrographique du canton de Berne

de: Gewässernetz des Kantons Bern


kommunale-nutzungsplanung

title_for_slug: kommunale-nutzungsplanung

fr: protection-de-la-nature corps-executif risque-naturel planification-de-lespace-physique amenagement-du-paysage commune planification-regionale eaux-geographie cadastre amenagement-du-territoire bois polluant-sonore plan planification

de: naturschutz behorde naturgefahr raumplanung landschaftsplanung gemeinde regionalplanung gewasser kataster flachennutzungsplanung wald larmbelastung plan planung

spatial: Schweiz

fr: Thème du cadastre RDPPF L'ordonnance classe les jeux de géodonnées de base communales qui relèvent du domaine des plans d'affectation dans le cadastre des restrictions de droit public à la propriété foncière (cadastre RDPPF). Les thèmes du cadastre RDPPF suivantes se trouvent dans le géoproduit NUPLA: - Plans d'affectation communales (OGéo ID 73C), - Degré de sensibilité au bruit (OGéo ID 145), - Distances par rapport à la forêt communales (OGéo ID 159C). Les espaces réservés aux eaux déterminés par les communes se trouvent aussi dans le géoproduit (couches 'UEGEWRF: Espaces réservés aux eaux (surfaces)' et 'UEGEWRL: Espaces réservés aux eaux (lignes)'). **Le jeu de données est en construction et n'est pas encore disponible pour l'ensemble du canton de Berne.**

de: ÖREB-Katasterthema Die kommunalen Geobasisdatensätze im Bereich Nutzungsplanung sind gemäss der Verordnung über den Kataster der öffentlich-rechtlichen Eigentumsbeschränkungen (ÖREBKV) Bestandteile des ÖREB-Katasters. Folgende ÖREB-Katasterthemen sind in diesem Geoprodukt NUPLA enthalten: - Kommunale Nutzungsplanung (GeoIV ID 73C), - Lärmempfindlichkeitsstufen (GeoIV ID 145), - Kommunale Wald-Baulinien (GeoIV ID 159C). Enthalten sind auch die von den Gemeinden festgelegten Gewässerräume (Ebenen 'UEGEWRF: Gewässerraumflächen' und 'UEGEWRL: Gewässerraumlinien'). **Der Datensatz befindet sich im Aufbau und ist noch nicht flächendeckend für den ganzen Kanton Bern vorhanden. **

fr: Plans d'affectation communales

de: Kommunale Nutzungsplanung


geography

de: Geographie

fr: charge-de-polluant cadastre dechets

de: schadstoffbelastung kataster abfall

fr: Thème du cadastre RDPPF Le cadastre des sites pollués du canton de Berne représente des surfaces servant ou ayant servi de sites de stockage de déchets (décharges) ou d'aires d'exploitation pour des entreprises artisanales ou industrielles. Le cadastre tient également compte des lieux d'accidents ayant impliqué des produits chimiques ou des hydrocarbures, ainsi que des buttes pare-balles des stands de tir. Le cadastre sera un instrument en perpétuelle évolution, mis à jour en fonction des données les plus actuelles. La carte montre seulement les sites dont on est sûr qu'ils doivent y figurer. En revanche, le fait qu'une parcelle ne figure pas dans le cadastre n'est pas une garantie que le site ne présente pas de pollution. Le thème du cadastre RDPPF suivant se trouve dans le géoproduit BALISKBS : - Cadastre des sites pollués (OGéo ID 116) [Cadastre RDPPF](<https://www.geo.apps.be.ch/fr/cadastre-rdppf-3.html>)

de: ÖREB-Katasterthema Der Kataster der belasteten Standorte stellt die mit Schadstoffen belasteten Flächen in einer Karte dar. Dies sind ehemalige Ablagerungsstandorte (Deponien), Betriebsstandorte (Fabriken, Industrieareale), Unfallstandorte und Schiessanlagen. Der Kataster der belasteten Standorte ist dynamisch und wird laufend angepasst! In der Karte sind nur jene Standorte aufgeführt, welche bereits definitiv in den Kataster der belasteten Standorte eingetragen wurden. Die Angabe, dass ein Grundstück nicht im Kataster der belasteten Standorte eingetragen ist, bietet keine Gewähr dafür, dass auch effektiv keine Belastung vorliegt! Folgendes ÖREB-Katasterthema ist in diesem Geoprodukt BALISKBS enthalten: - Kataster der belasteten Standorte (GeoIV ID 116) [ÖREB-Kataster](<https://www.geo.apps.be.ch/de/oereb-kataster-4.html>)

fr: Cadastre des sites pollués (CSP)

de: Kataster der belasteten Standorte (KBS)


amtliche-vermessung-vereinfacht

territory

fr: Territoire et environnement

title_for_slug: amtliche-vermessung-vereinfacht

fr: cadastre planification

de: kataster planung

de: Link zum Daten-Download (Zip)

fr: Le géoproduit mensuration officielle simplifiée (MOPUBE) contient les données relatives à la structure de propriété et à l'utilisation du sol dans le canton de Berne. Ces données sont les plus précises disponibles actuellement. Elles se prêtent bien à un fond de plan pour la représentation d'informations thématiques. Le géoproduit mensuration officielle simplifiée est mis à jour chaque semaine ; il n'a pas de portée légale. Il constitue un sous-ensemble des données complètes de la mensuration officielle (MO). Il contient les données géométriques et les attributs des objets décrivant la propriété et l'utilisation du sol. Ces données sont à la base de la plupart des applications SIG. Elles ont été élaguées des informations plus détaillées n'intéressant principalement que les spécialistes de la mensuration cadastrale. Ce jeu de données comprend des extraits des couches d'information suivantes: points fixes, couverture du sol, objets divers, nomenclature, biens-fonds, divisions administratives et techniques de la mensuration officielle. La structure du geoproduit correspond à celle du modèle de données de la Confédération. Il a été toutefois complété avec des exigences cantonales.

de: Das Geoprodukt Amtliche Vermessung vereinfacht (MOPUBE) enthält die genauesten, verfügbaren Daten über Grund und Boden des Kantons Bern. Es eignet sich optimal  insbesondere die Bodenbedeckung und Liegenschaften  als Kartenhintergrund für die Darstellung thematischer Informationen. Das Geoprodukt Amtliche Vermessung vereinfacht wird wöchentlich aktualisiert; es besitzt keine Rechtswirkung. Es enthält eine Teilmenge der Daten der Amtlichen Vermessung (AV), namentlich diejenigen geometrischen und attributiven Daten zu Grund und Boden, die von den meisten GIS-Anwendern benötigt werden. Weitergehende Informationen, die vorwiegend Vermessungsspezialisten interessieren, werden weggelassen. Der Geodatensatz umfasst Auszüge aus den Informationsebenen Fixpunkte, Bodenbedeckung, Einzelobjekte, Nomenklatur, Liegenschaften, administrative und technische Einteilungen der Amtlichen Vermessung. Das Geoprodukt entspricht von der Struktur her dem Datenmodell «MOpublic» des Bundes. Es ist jedoch mit einigen kantonalen Anforderungen ergänzt worden.

de: Amt für Geoinformation des Kantons Bern

fr: Mensuration officielle simplifiée

de: Amtliche Vermessung vereinfacht


geography

fr: Géographie

fr: inventaire-environnement pelouse-seche

de: inventar trockenrasen

fr: Lien vers le téléchargement de données (Zip)

fr: Le fichier contient la situation géographique et les numéros des objets de l'inventaire cantonal des prairies est pâturages secs d'importance nationale, régionale et locale (à présent: 'prairies maigres').

de: Der Datensatz umfasst die geografische Lage und die Nummern der Objekte des kantonalen Inventars der Trockenwiesen und -weiden von nationaler, regionaler und lokaler Bedeutung (bisher: 'Trockenstandorte').

name: Amt für Landwirtschaft und Natur - Naturförderung ANF

fr: Office de l'information géographique du canton de Berne

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Inventaire cantonal des prairies et pâturages secs

de: Kantonales Inventar der Trockenwiesen und -weiden


ubersicht-leitungskataster

territory

de: Raum und Umwelt

title_for_slug: ubersicht-leitungskataster

fr: La vue d'ensemble du cadastre des conduites donne des informations concernant la disponibilité digital des fluides eaux usées, gaz, eaux, chauffage à distance, électricité, communication et des autres fluides ainsi que le contanct du Service de gestion de données pour l'achat du cadastre de conduites.

de: Die Übersicht zum Leitungskataster gibt Informationen zum Stand der digitalen Verfügbarkeit der Lage der Medien Abwasser, Gas, Wasser, Fernwärme, Elektrizität, Kommunikation und den weiteren Medien sowie die Kontaktadresse der Datenverwaltungsstelle zum Bezug des Leitungskatasters.

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

fr: Aperçu du cadastre des conduites

de: Übersicht Leitungskataster


gruda-av-export

title_for_slug: gruda-av-export

fr: batiment registre-foncier droit-de-propriete cadastre

de: gebaude grundbuch eigentumsordnung kataster

fr: Export des données sur les biens-fonds, les bâtiments et la couverture du sol de la banque de données des biens-fonds GRUDA-MO. L'export correspond au modèle de données du téléchargement de données issues de GRUDA-MO La correspondance des attributs du modèle de données au géoproduit est décrite dans le fichier [GRUDAEXP_2019_01_Attribute.pdf](<https://files.be.ch/bve/agi/geoportal/geo/lpi/GRUDAEXP_2019_01_Attribute.pdf>).

de: Daten-Export zu Grundstücken, Gebäuden und Bodenbedeckung aus der Grundstückdaten-bank GRUDA-AV. Der Export entspricht dem Datenmodell des Datenablad aus GRUDA-AV Die Zuordnung der Attribute des Datenmodells zum Geoprodukt ist in der Datei [GRUDAEXP_2019_01_Attribute.pdf](<https://files.be.ch/bve/agi/geoportal/geo/lpi/GRUDAEXP_2019_01_Attribute.pdf>) beschrieben.

fr: GRUDA MO Export

de: GRUDA AV Export


stand-der-amtl-vermessung

geography

de: Geographie

title_for_slug: stand-der-amtl-vermessung

fr: Sur la base du fichier cantonal Limites communale 1:5'000, les données relatives aux périmètres approuvé et en les périmètres en cours de la mensuration officielle du canton de Berne, depuis lintroduction du CC en 1910, ont été saisies dans un même fichier AMO. Le fichier AMO montre létat actuel de la mensuration officielle dans le canton de Berne et permet den exploiter les données.

de: Im Datensatz AMO sind auf der Grundlage des Kantonsdatensatzes Gemeindegrenzen 1:5'000 für den Kanton Bern die anerkannten Bearbeitungsperimeter und die sich in Bearbeitung befindenden Bearbeitungsperimeter der amtlichen Vermessung erfasst, welche nach Einführung des ZGB im Jahr 1910 bearbeitet wurden resp. bearbeitet werden. Der Datensatz AMO zeigt den heutigen Stand der amtlichen Vermessung im Kanton Bern.

fr: Etat actuel de la mensuration officielle

de: Stand der amtl. Vermessung


gebaudeadressen

territory

fr: Territoire et environnement

title_for_slug: gebaudeadressen

fr: batiment liste-de-diffusion

de: gebaude adressenliste

de: Link zum Daten-Download (Zip)

fr: Le fichier GEBADR contient les adresses postales des bâtiments, adresses spatialisées et enregistrées dans la base de données de la mensuration officielle. Il contient aussi les bâtiments souterrains. En règle générale, une adresse de bâtiment se compose des éléments suivants : un nom de rue, ou de place, ou un lieu dénommé; un numéro de maison; le numéro postal d'acheminement (NPA) et la localité. Les bâtiments annexes (garages, remises, etc.) ne possèdent pas tous un numéro de maison ; ils sont désignés par la mention « nn » (qui veut dire non numéroté). L'objectif à moyen terme est d'attribuer aussi à ces bâtiments annexes un numéro de maison univoque. Cette désignation se fera en collaboration avec les communes bernoises.

de: Der Datensatz GEBADR enthält die postalischen Gebäudeadressen aller ober- und unterirdischen Gebäude, welche in der amtlichen Vermessung erfasst sind. Eine Gebäudeadresse setzt sich im Normalfall aus folgenden Elementen zusammen: Strassenname (oder Platz, benanntes Gebiet), Hausnummer, Postleitzahl und Ortschaft. Nebengebäude (z.B. Garagen, Ökonomiegebäude) verfügen teilweise nicht über eine eigene Hausnummer und sind deshalb mit der Bezeichnung 'nn' (= nicht nummeriert) bezeichnet. Es wird angestrebt, in Zusammenarbeit mit den bernischen Gemeinden künftig auch diese bisher nicht nummerierten Gebäude mit einer eindeutigen Hausnummer zu kennzeichnen.

fr: Adresses des bâtiments

de: Gebäudeadressen


maintainer: Schweizerisches Bundesarchiv

fr: ecole pedagogie helvetique enquete lindas openglam histoire republique-helvetique philipp-albert-stapfer

de: philipp-albert-stapfer helvetik geschichte padagogik schulwesen helvetische-republik umfrage lindas glam openglam

en: lindas glam philipp-albert-stapfer teaching survey history helvetic-republic helvetic-period openglam schools

it: sondaggio sistema-scolastico openglam glam lindas pedagogia storia philipp-albert-stapfer elvetica-repubblica-elvetica

fr: SPARQL Endpoint avec présélection du graphe

en: SPARQL Endpoint with graph preselection

de: SPARQL Endpoint mit Vorauswahl des Graph

fr: Banque de données avec les résultats de l‘enquête Stapfer : l’enquête Stapfer est une investigation menée sur la situation de l’école dans la République helvétique en 1799. Elle fut initiée par le ministre de l’éducation Philipp Albert Stapfer (1766–1840). Les autorités envoyèrent aux maîtres et (quelques) maîtresses un questionnaire d’env. 60 questions portant sur la situation locale, l’enseignement ainsi que les conditions économiques et personnelles. Les quelques 2'400 réponses manuscrites sont conservées aux Archives fédérales suisses (Archives de l’Helvétique, fonds B0#C.02.3.1)  De 2009 à 2015 une équipe de l’Université de Berne a répertorié les données de l’enquête Stapfer, puis les a transmises aux Archives fédérales, qui gèrent également la page www.stapferenquete.ch.

en: Database containing the results of the Stapfer-Enquête: The Stapfer-Enquête is a unique survey of the school situation in the Helvetic Republic dating from 1799. It was initiated by education minister Philipp Albert Stapfer (1766–1840). The authorities sent teachers (including, in a small number of cases, female staff) a standardised questionnaire containing some 60 questions on the local situation, teaching, and personal and economic circumstances. The approximately 2,400 handwritten responses are held by the Swiss Federal Archives (Archiv der Helvetik, fonds B0#C.02.3.1).  Between 2009 and 2015, a team from the University of Bern compiled a database of the Stapfer-Enquête which was then passed to the Federal Archives. This work is also documented on the website www.stapferenquete.ch.

de: Datenbank mit den Resultaten der Stapfer-Enquête: Die Stapfer-Enquête ist eine einzigartige Umfrage zur Schulsituation in der Helvetischen Republik aus dem Jahr 1799. Als Erziehungsminister initiierte Philipp Albert Stapfer (1766–1840) die Umfrage. Die Behörden sandten den Lehrern und (wenigen) Lehrerinnen einen standardisierten Fragebogen mit rund 60 Fragen über die lokalen Verhältnisse, den Unterricht sowie die personellen und ökonomischen Umstände. Die rund 2‘400 handschriftlichen Antwortbögen befinden sich im Schweizerischen Bundesarchiv (Archiv der Helvetik, Bestand B0#C.02.3.1).  Ein Team der Universität Bern hat die Stapfer-Enquête von 2009 bis 2015 datafiziert und anschliessend dem Bundesarchiv übergeben. Dieses betreibt auch die Seite www.stapferenquete.ch.

it: Banca dati con i risultati dell’inchiesta Stapfer: l’inchiesta Stapfer è un sondaggio unico per la situazione scolastica nella repubblica elvetica dell’anno 1799. Come ministro dell’istruzione, Philipp Albert Stapfer (1766-1840), iniziò il sondaggio. Le autorità mandarono ai professori e alle (poche) professoresse un questionario unificato con circa 60 domande sulle condizioni locali, sull’insegnamento e sulle situazioni personali e economiche. Circa 2'400 fogli di risposta scritti a mano si trovano nell’ Archivio federale svizzero (Archivio dell’elvetica, Fondo B0#C.02.3.1)  Un gruppo dell’università di Berna ha datizzato il sondaggio e in seguito l’ha trasmesso all’archivio federale. Il gruppo gestisce il sito www.stapferenquete.ch.

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helvetic-period

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history

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storia

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teaching

display_name: teaching

umfrage

display_name: umfrage

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

schweizerisches-bundesarchiv-bar

fr: Archives fédérales suisses AFS

de: Schweizerisches Bundesarchiv BAR

en: Swiss Federal Archives SFA

it: Archivio federale svizzero AFS

fr: En tant que centre de prestations et de compétences de la Confédération pour une gestion durable de l'information, les Archives fédérales suisses évaluent, prennent en charge, mettent en valeur et communiquent tous les documents de la Confédération suisse qui ont une valeur archivistique.

de: Das Schweizerische Bundesarchiv ist das Dienstleistungs- und Kompetenzzentrum des Bundes für nachhaltiges Informationsmanagement. Es bewertet, sichert, erschliesst und vermittelt archivwürdige Unterlagen der Schweizerischen Eidgenossenschaft.

en: The Swiss Federal Archives (SFA) are the Confederation's service and competence centre for lasting information management. They appraise, secure, describe and provide access to archive-worthy records of the Swiss Confederation.

it: L'Archivio federale svizzero è il centro di servizio e competenza della Confederazione per la gestione a lungo termine delle informazioni. In questa funzione è incaricato di valutare, salvaguardare, catalogare e rendere accessibili i documenti di valore archivistico della Confederazione Svizzera.

value: LINDAS DCAT Harvester BAR

fr: Enquête Stapfer: l’école en Suisse, 1799 (RDF)

en: The Stapfer-Enquête: schooling in Switzerland 1799 (RDF)

de: Stapfer-Enquête: Schule in der Schweiz 1799 (RDF)

it: Inchiesta Stapfer: scuole in Svizzera 1799 (RDF)


staatsrechnungen-amt

maintainer: Schweizerisches Bundesarchiv BAR

title_for_slug: staatsrechnungen-amt

fr: confederation confederation-suisse recettes depenses glam bilan compte-de-resultats compte-d-etat credit-supplementaire planification-financiere administration-federale-des-finances budget supplement avenant finances-federales openglam

de: bundeshaushalt bund eidgenossische-finanzverwaltung glam staatsrechnung openglam ausgaben bilanz finanzplanung nachtrag erfolgsrechnung budget nachtragskredit schweizerische-eidgenossenschaft einnahmen voranschlag

en: statement-of-financial-position supplement state-financial-statements federal-finances openglam glam expenditure budget federal-finance-administration statement-of-financial-performance confederation swiss-confederation receipts supplementary-credit financial-planning

it: confederazione-svizzera entrate openglam uscite-bilancio conto-economico credito-aggiuntivo amministrazione-federale-delle-finanze glam complemento budget preventivo confederazione consuntivo pianificazione-finanziaria

fr: In the state financial statements, the Federal Council details the receipts of the federal administration for the previous year and accounts for its expenditure.  The Federal Finance Administration (FFA) consolidates the annual financial statements of the departments and, based on them, compiles the report on the state financial statements. The statements are adopted by the Federal Council and forwarded in printed form to Parliament for approval.  The Federal Council also lays the budget for the following year before the Federal Assembly. This is also prepared by the FFA. By this means, Parliament approves the planned expenses and total expenditure of the Confederation and takes note of the estimate of income and receipts.  Further information and the most recent state financial statements can be found on the FFA website: https://www.efv.admin.ch/efv/en/home.html.

de: In der Staatsrechnung führt der Bundesrat die Einnahmen der Bundesverwaltung für das abgelaufene Jahr auf und legt Rechenschaft über die Ausgaben ab.  Die Eidgenössische Finanzverwaltung (EFV) konsolidiert die Jahresabschlüsse der Departemente und erarbeitet daraus den Bericht zur Staatsrechnung. Die Rechnung wird vom Bundesrat verabschiedet und geht in gedruckter Form an das Parlament, das sie abnimmt.  Der Bundesrat legt der Bundesversammlung auch das Budget (Voranschlag) für das Folgejahr vor. Auch dieses wird von der EFV vorbereitet. Damit bewilligt das Parlament den geplanten Aufwand sowie die Gesamtausgaben des Bundes und nimmt von der Schätzung der Erträge und Einnahmen Kenntnis.  Ergänzende Angaben und die neuste Staatsrechnung finden Sie auf der Website der EFV: www.efv.admin.ch.

en: Dans le compte d’Etat le Conseil fédéral présente les recettes de l’administration fédérale durant l’exercice précédent et rend compte des dépenses.  L’administration fédérale des finances (AFF) consolide les comptes annuels des départements et des offices et en tire le rapport concernant le compte d’Etat. Ce dernier est approuvé par le Conseil fédéral, et est adressé sous forme imprimée au Parlement, qui en prend acte.  Le Conseil fédéral présente également à l’Assemblée fédérale le budget de l’année suivante, préparé lui aussi par l’AFF. En l’adoptant le Parlement autorise les charges prévues et les dépenses générales en même temps qu’il prend connaissance des rendements et recettes escomptés.  Vous trouvez des données complémentaires et le compte d’Etat actuel sur la page Internet de l’AFF : https://www.efv.admin.ch/efv/fr/home.html.

it: Il Consiglio federale gestisce il consuntivo della confederazione per l’anno decorso e depone un resoconto sulle varie uscite.  L’amministrazione federale delle finanze (AFF) consolida i conti annuali dei dipartimenti e da ciò elabora il rapporto del consuntivo. Quest’ultimo verrà approvato dal Consiglio federale ed inviato in forma cartacea al parlamento, che lo approva a sua volta.  Il Consiglio federale sottopone all’assemblea federale il budget (preventivo) anche per l’anno seguente. Tale budget viene anch’esso preparato dall’ AFF. Il parlamento approva in tal modo le spese previste, le uscire totali della confederazione e prende conoscenza della stima dei ricavi e delle entrate.  Sul sito dell’AFF: https://www.efv.admin.ch/efv/it/home.html potete trovare indicazioni supplementari così come il nuovo consuntivo della Confederazione.

administration-federale-des-finances

display_name: administration-federale-des-finances

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ausgaben

display_name: ausgaben

avenant

display_name: avenant

bilan

display_name: bilan

bilanz

display_name: bilanz

budget

display_name: budget

bund

display_name: bund

bundeshaushalt

display_name: bundeshaushalt

complemento

display_name: complemento

compte-d-etat

display_name: compte-d-etat

compte-de-resultats

display_name: compte-de-resultats

confederation

display_name: confederation

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confederazione

display_name: confederazione

confederazione-svizzera

display_name: confederazione-svizzera

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display_name: consuntivo

conto-economico

display_name: conto-economico

credit-supplementaire

display_name: credit-supplementaire

credito-aggiuntivo

display_name: credito-aggiuntivo

depenses

display_name: depenses

eidgenossische-finanzverwaltung

display_name: eidgenossische-finanzverwaltung

einnahmen

display_name: einnahmen

entrate

display_name: entrate

erfolgsrechnung

display_name: erfolgsrechnung

expenditure

display_name: expenditure

federal-finance-administration

display_name: federal-finance-administration

federal-finances

display_name: federal-finances

finances-federales

display_name: finances-federales

financial-planning

display_name: financial-planning

finanzplanung

display_name: finanzplanung

glam

display_name: glam

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display_name: nachtrag

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display_name: nachtragskredit

pianificazione-finanziaria

display_name: pianificazione-finanziaria

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display_name: planification-financiere

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display_name: preventivo

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display_name: receipts

recettes

display_name: recettes

schweizerische-eidgenossenschaft

display_name: schweizerische-eidgenossenschaft

staatsrechnung

display_name: staatsrechnung

it: Consuntivo della confederazione - Ufficio