en: shortwave-radiation relative-humidity snow-depth wind-direction soil-temperature air-pressure air-temperature dew-point-temperature wind-speed precipitation-sum treeline stillberg

media_type: ZIP

en: The Davos Stillberg meteorological data (Stillberg_meteo_v1.zip) consists of timeseries from five meteorological stations operated at the Stillberg treeline ecological research site. Metadata are provided in the folder 'Stillberg_meteo_metadata' and the data in the folder 'Stillberg_meteo_data' with subfolders for the three quality levels 'raw_standardized', ‘raw_edited’, and ‘filtered’.

en: The Davos Stillberg meteorological data (Stillberg_meteo_v1.1.zip) consists of timeseries from five meteorological stations operated at the Stillberg treeline ecological research site. Metadata are provided in the folder 'Stillberg_meteo_metadata' and the data in the folder 'Stillberg_meteo_data' with subfolders for the three quality levels 'raw_standardized', ‘raw_edited’, and ‘filtered’.

en:
 Background information
The Stillberg ecological treeline research site is located in the transition zone between the relatively humid climate of the Northern Alps and the continental climate of the Central Alps. In 1975, 92,000 seedlings of the high-elevation conifer species *Larix decidua* Mill. (European larch), *Pinus cembra* L. (Cembran pine), and *Pinus mugo* ssp. *uncinata* (DC.) Domin (mountain pine) were systematically planted across an area of 5 hectares along an elevation gradient of about 150 metres, with the aim to develop ecologically, technically, and economically sustainable afforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Alongside the ecological long-term monitoring of the afforestation, several meteorological stations have recorded local meteorological conditions at the Stillberg research site. Here, we provide the Davos Stillberg meteorological timeseries of five stations from 1975 (01-01-1975), the year of the afforestation establishment, until the end of the year 2022 (31-12-2022).

 Station description
The five meteorological stations were all installed at the same location (46°46′25.015″N 9°52′01.792″E) at 2090 m a.s.l., in the lower part of the afforestation area. In general, the five stations were operated sequentially (Stillberg_meteo_metadata_stations_v1.csv). However, there are some overlapping time periods when more than one station was operated in parallel. The stations have recorded environmental parameters, such as air and soil temperature, dew point temperature, air pressure, relative humidity, wind direction and velocity, radiation, precipitation, and snow depth (Stillberg_meteo_metadata_parameters_v1.csv). The meteorological measurements were recorded hourly from 1975 until 1996 and have been recorded in 10-minute intervals since 1997.

 Data description
We processed the Davos Stillberg meteorological timeseries with the MeteoIO meteorological data pre-processing library (Bavay & Egger, 2014). Data files are provided for each station and quality level separately and named according to the station (see ‘Stillberg_meteo_metadata_stations_v1.csv’). From the raw data in their original formats, we generated three data quality levels: raw standardized (folder ‘raw_standardized’), edited (folder ‘raw_edited’) and filtered (folder ‘filtered’). The processing level is indicated in the headers of the data files. The whole processing protocol is described in a set of human-readable configuration files that are used by MeteoIO to generate the required data quality levels. This improves long-term reproducibility (Bavay et al., 2022), as the data could be regenerated in the future, even using a completely different software, to account for additional data points or to introduce new data corrections. The first quality level (raw standardized) is generated by parsing the original data files and interpreting them in order to convert all data points to a common format and meteorological parameter naming scheme, while excluding unreadable or duplicated data lines. The generated data files are derivatives of CSV files, with a standardised header that contains the metadata that are necessary to interpret and use the data (use metadata) and to populate a data index (search metadata). The latter is a textual implementation of the Attribute Convention for Data Discovery (ACDD) metadata standard (Attribute Convention for Data Discovery 1-3, 2022). The second quality level (edited) builds on the raw data by performing low-level data editing, such as removing some data periods that are known to be unusable (often based on maintenance records or anecdotal evidence) or applying undocumented calibration factors (for example, when there seems to be an obvious offset on a measured parameter for a period between two documented maintenance operations). The third quality level is generated by applying statistical filters on the data (per station and per meteorological parameter) to exclude presumably wrong values. We did not perform gap filling, as no single strategy could be relied upon that would work best for all possible data usage scenarios.

air-pressure

display_name: air-pressure

air-temperature

display_name: air-temperature

dew-point-temperature

display_name: dew-point-temperature

precipitation-sum

display_name: precipitation-sum

relative-humidity

display_name: relative-humidity

shortwave-radiation

display_name: shortwave-radiation

snow-depth

display_name: snow-depth

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

treeline

display_name: treeline

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

en: Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l.


maintainer: EnviDat Support

en: orographic-precipitation precipitation-variability snow-precipitation cosmo-wrf complex-terrain

state: active

type: dataset

en: StationData

media_type: application/zip

format: ZIP

mimetype: application/zip

en: Snow depth maps over Dischma valley for 26 January 2016 and 9 March 2016 and snow depth differences between the two dates.

en:
The data presented here corresponds to the publication "Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain" (Gerber et al., 2018a), which investigates the precipitation variability of snow precipitation in the central northern part of the Grisons (CH) and the publication "The importance of near-surface winter precipitation processes in complex alpine terrain" (Gerber et al., 2018b). The dataset contains:

* WRFsimulations: WRF simulation output for simulations with 4x (14x) terrain smoothing with an output timestep of 30 min/5 min and horizontal grid spacings of 1350 m, 450 m, 150 m and 50 m (currently: data available upon request).
* StationData: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.
* ADS80data: Photogrammetrically determined snow depth distribution data over the Dischma valley for the 26 January 2016 and 9 March 2016. Snow heights are corrected for buildings, vegetation (> 1m), outliers, and pixles, which are obivously snow-free on the pictures (Bühler et al., 2015). In addition the snow depth differences (snow depth on 9 March 2016 minus snow depth on 26 January 2016) are provided.

For more details about the simulation and observation data, see Gerber et al., 2018 and Gerber and Sharma (2018).

Publications:

Bühler, Y., Marty, M., Egli, L., Veitinger, J., Jonas, T., Thee, P., and Ginzler, C.: Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9, 229–243, doi:10.5194/tc-9-229-2015, 2015.

Gerber, F., Besic, N., Sharma, V., Mott, R., Daniels, M., Gabella, M., Berne, A., Germann, U., and Lehning, M.: Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain, The Cryosphere, 12, 3137–3160, doi:10.5194/tc-12-3137-2018, 2018.

Gerber, F., Mott, R. and Lehning, M.: The importance of near-surface winter precipitation processes in complex alpine terrain, Journal of Hydrometeorology, accepted, 2018.

Gerber, F., and Sharma, V.: Running COSMO-WRF on very-high resolution over complex terrain. Laboratory of Cryospheric Sciences CRYOS, École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland. doi:10.16904/envidat.35, 2018.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation

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: DISCHMEX - High-resolution WRF simulations in complex alpine terrain and station measurements


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

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

en: Read-me file on snow instability data

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: data set on snow instability

media_type: text/csv

format: CSV

mimetype: text/csv

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


maintainer: Michael Lehning

en: Description

en: Full Data Description

en: Data Source

media_type: R

en: Coordinates of Grid Points

format: SERVICE

en: Hourly Gridded Wind Power Time Series

en:
This dataset consist of simulated hourly power production from an Enercon E82 Turbine at 100 m hub-height. It describes the hourly power output a 1MW turbine would produce in each 0.01° grid cell for the years 2016 and 2017.

100 m wind speed data was taken from the COSMO-1 model (Consortium for Small-scale Modeling 2017), which has a 0.01° horizontal resolution. The domain covered is the whole of Switzerland, with the exclusion of lakes. As such, the number of 0.01◦ pixels within Switzerland amounts to 48657.
Conversion to power output was done based on the power curve of the Enercon E82 Turbine. As power output is lower at altitude due to lower air density, we corrected for this effect as described in (Kruyt et al. 2017).

Please cite the following paper in connection with the dataset:

Paper Citation:
 > _Bert Kruyt, Jérôme Dujardin, and Michael Lehning: Improvement of wind power assessment in complex terrain: The case of COSMO-1 in the Swiss Alps, Front. Energy Res., [doi:10.3389/fenrg.2018.00102] (https://doi.org/10.3389/fenrg.2018.00102)_

mountain-wind-potential

display_name: mountain-wind-potential

topography

display_name: topography

wind-energy

display_name: wind-energy

en: Dataset on Cosmo-1 based Energy Potential in Swiss Alps


maintainer: Matthias Haeni

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

en: Field station data (VSF)

en: Data file.

en: Site photo of the field station (VSF)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site photo of the forest station (VSB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Forest station data (VSB)

en: Data plot of the field station (VSF)

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

en: Data plot of the forest station (VSB)

en: Site aerial photo (Visp)

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

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 Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


en: temperature precipitation relative-humidity growing-degree-days growing-season-length solar-radiation soil-water-balance

en: CHELSA-BIOCLIM+

media_type: geotiff

en: Global extented set of bioclimatic variables at different temporal (e.g. monthly, annual, long term normals) resolution in Geotiff format.

format: GeoTIFF

en: CHELSA-BIOCLIM+ Technical Documentation

media_type: PDF

en: Technical documentation document including the variable names, units, scaling, offset, and background.

en: A multitude of physical and biological processes on which ecosystems and human societies depend are governed by climatic conditions. Understanding how these processes are altered by climate change is central to mitigation efforts. Based on mechanistically downscaled climate data, we developed a set of climate-related variables at yet unprecedented spatiotemporal detail as a basis for environmental and ecological analyses. We created gridded data for near-surface relative humidity (hurs), cloud area fraction (clt), near-surface wind speed (sfcWind), vapour pressure deficit (vpd), surface downwelling shortwave radiation (rsds), potential evapotranspiration (pet), climate moisture index (cmi), and site water balance (swb), at a monthly temporal and 30 arcsec spatial resolution globally starting 1980 until 2018. At the same spatial resolution, we further estimated climatological normals of frost change frequency (fcf), snow cover days (scd), potential net primary productivity (npp), growing degree days (gdd), and growing season characteristics for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, considering three shared socioeconomic pathways (SSP126, SSP370, SSP585) and five Earth system models. Time-series variables showed high accuracy when validated against observations from meteorological stations. Climatological normals were also highly correlated to observations although some variables showed notable biases, e.g., snow cover days (scd). Together, the data sets presented here allow improving our understanding of patterns and processes that are governed by climate, including the impact of recent and future climate changes on the world’s ecosystems and associated services to societies.

growing-degree-days

display_name: growing-degree-days

growing-season-length

display_name: growing-season-length

soil-water-balance

display_name: soil-water-balance

solar-radiation

display_name: solar-radiation

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: CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution


weissfluhjoch-dataset-for-esm-snowmip

maintainer: Nander Wever

title_for_slug: weissfluhjoch-dataset-for-esm-snowmip

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

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: ini file

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

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

en: Weissfluhjoch dataset for ESM-SnowMIP


wind-crust-formation-snowmicropen-data

title_for_slug: wind-crust-formation-snowmicropen-data

en: wind-packing wind-crust snow snowmicropen smp

en: SMP data

media_type: Link

en: Links to the dataset

en: Processing scripts

en: Contains the R-scripts used to process the SMPs

en: README

media_type: text/plain

en: Describes the dataset in detail

format: TXT

mimetype: text/plain

en:
This dataset contains the SnowMicroPen (SMP) data from 38 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winters 2015/16 and 2016/17 and include more than 1000 SMP measurements.

The SMPs are organized per experiment. Each experiment subfolder contains the processed SMP profiles and some additional files.

Please refer to the README for more details on the data. The processing scripts are available for download as well. The scripts are mainly provided as documentation and would need to be adjusted to be used.

This dataset is the basis of the following publication:

Sommer C.G., Lehning M., & Fierz C. (2017). Wind tunnel experiments: Saltation is necessary for wind-packing. Journal of Glaciology, 63(242), 950-958. doi:10.1017/jog.2017.53

smp

display_name: smp

snowmicropen

display_name: snowmicropen

wind-crust

display_name: wind-crust

wind-packing

display_name: wind-packing

en: Wind crust formation: SnowMicroPen data


maintainer: Jana von Freyberg

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

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

media_type: CSV

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

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


en: python cryowrf antarctica aws consistent

media_type: .zip

en: Scripts to preprocess (and download for some databases) atmospheric weather station data. Furthermore, a list of stations and a map can be created to have an overview.

en:
There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.

The following data sources are taken into account:

* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)
* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division
* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)
* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)
* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)
* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph
* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)
* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)
* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication
* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)
* PANGAEA: World Data Center (e.g. König-Langlo, 2012)

Important notes

* Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
* Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
* No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.

Acknowledgements
--------------------------
We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.

References
---------------
Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East
Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020

Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.

König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener
Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.
775173

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python

en: Preprocessing Antarctic Weather Station (AWS) data in python


maintainer: Jonas Stillhard

en: dem forest-structure forest-dynamics forest fagus-sylvatica stand-inventory-data primeval-beech-forest long-term-data-sets permanent-forest-plot-data carpathian-biosphere-reserve

en: Data description

en: Available online on publishers website

en: Dataset

en:
In 2000, a permanent forest plot of 10 ha has been established in the core zone of the primeval beech forest of Uholka.
 All living and dead trees with a diameter at breast height (DBH) ≥ 60 mm were identified to species, DBH measured, stems tagged and mapped.
Since then, the plot has been remeasured in 2005, 2010, and 2015. In total, 4,820 individual trees were measured with 14,116 individual measurements throughout all four inventories.
In spring 2018, an Airborne Laser Scan was carried out, covering the Uholka‐Shyrokyi Luh forest. This data set allows us to derive a high‐resolution digital elevation model (DEM) of the plot area.
The data set allows for important insights into the development and the spatial and temporal dynamics of primeval beech forests.

carpathian-biosphere-reserve

display_name: carpathian-biosphere-reserve

dem

display_name: dem

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-structure

display_name: forest-structure

long-term-data-sets

display_name: long-term-data-sets

permanent-forest-plot-data

display_name: permanent-forest-plot-data

primeval-beech-forest

display_name: primeval-beech-forest

stand-inventory-data

display_name: stand-inventory-data

en: Stand inventory data from the 10‐ha forest research plot in Uholka, Ukraine


maintainer: Anita C. Risch

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

en: Risch et al. 2020 - Raw data for publication "Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties"

en:
we assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

Study sites and experimental design
The 22 sites contributing to this project are part of the Nutrient Network Global Research Cooperative (NutNet, https://nutnet.umn.edu/). Mean annual temperature across our 22 sites ranged from -4 to 22°C, mean annual precipitation from 252 to 1,592 mm, and elevations from 6 to 4,261 m above sea level (Fig. 1, Supplementary Table S1). Soil organic C varied from 0.8 to 7.8%, soil total N from 0.1 to 0.6%, and the soil C:N ratio from 9.1 to 21.5. Soil clay content spanned from 3.0 to 35%, and soil pH from 3.4 to 7.6 (Supplementary Table S2). Thus, the sites covered a wide range of environments in which grasslands occur (Fig. 1, Supplementary Table S1 & S2).
At each site, the effects of nutrient addition and herbivore removal were tested via a randomized-block design (Borer et al., 2014; Supplementary Fig. S1a). Three replicate blocks with 10 treatment plots each were established at each site, with the exception of the site at bldr.us, where only two blocks were established (Supplementary Fig. S1a). The 10 plots were randomly assigned to a nutrient or fencing treatment, but only a subset of four plots was used in the current study, each with a different treatment (see below; Supplementary Fig. S1a). All plots were 5 x 5 m and divided into four 2.5 x 2.5 m subplots (Supplementary Fig. S1b). Each subplot was further divided into four 1 x 1 m square sampling plots, one of which was set aside for soil sampling (Borer et al., 2014; Supplementary Fig. S1b). Plots were separated by at least 1 m wide walkways.
In this study, we collected data from the following four treatments: (i) untreated control plots (Control), (ii) herbivore removal plots (Fence), (iii) plots fertilized with N, P, K, plus nine essential macro and micronutrients (NPK), and (iv) plots with simultaneous fertilizer addition and herbivore removal (NPK+Fence; Supplementary Fig. S1a). The number of years of treatment differed among sites (2 – 9 years since start of treatment; Supplementary Table S1). For the nutrient additions, all sites applied 10 g N m-2 yr-1 as time-release urea; 10 g P m-2 yr-1 as triple-super phosphate; 10 g K m-2 yr-1 as potassium sulfate. A micro-nutrient mix (Fe, S, Mg, Mn, Cu, Zn, B, Mo, Ca) was applied at 100 g m-2 together with K in the first year of treatments but not thereafter.
The vertebrate herbivore removal treatment (Fence) was established by fencing two plots, one control and one NPK plot, within each of the blocks (Supplementary Fig. S1a). We designed the fences so that they would effectively exclude aboveground mammalian herbivores with a body mass of over 50 g (Borer et al., 2014). At the majority of sites, the height of the fences was 180 cm, and the fence design included wire mesh (1 cm holes) on the first 90 cm along with a 30 cm outward-facing flange stapled to the ground to exclude burrowing animals; climbing and subterranean animals may potentially still access these plots (Borer et al., 2014). For slight modifications in fence design at a few sites see Supplementary Table S3. While most sites only had native herbivores, a few sites (4) were also grazed by domestic animals (Supplementary Table S1).
Potential and realized soil net N mineralization, ammonification, nitrification and other soil properties
Each site participating in the study received a package containing identical material from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) to be used for sampling and on-site N incubations. For the field incubation, we followed the protocol by Risch et al. (2015, 2019). Briefly, we drove a 5 x 15 cm (diameter x depth) steel cylinder 13.5 cm deep into the soil after clipping the vegetation at randomized locations in each plot. The top 1.5 cm of the cylinder remained empty to capture incoming N from run-off or deposition with a polyester mesh bag (mesh-size 250 µm) filled with 13.2 ± 0.9 g of acidic and alkaline exchanger resin (1:1 mixture; ion-exchanger I KA/ion-exchanger III AA, Merck AG, Darmstadt). The bag was fixed in place with a metal Seeger ring (Bruetsch-Rüegger Holding, Urdorf, Switzerland). We then removed 1.5 cm soil at the bottom of the cylinder and placed another resin bag to capture N leached from the soil column. The exchange resin was saturated with H+ and Cl- prior to filling the bags by stirring the mixture in 1.2M HCl for 1 h and then rinsing it with demineralized water until the electrical conductivity of the water reached 5 μS/cm. The cylinders were then re-inserted into the cored hole, level with the soil surface, and incubated for an average of 42 days (range 40 to 57days). The individual site coordinators chose the timing of incubation to start approximately six weeks prior to peak plant biomass production. All incubations were completed between February 2015 and January 2016 accounting for differences in growing season between northern and southern hemispheres. At the end of the incubation, the cylinders were re-collected and immediately shipped to WSL in an insulated box together with cold packs to halt further mineralization. Gloves were worn at all times to avoid contamination of the samples. Upon arrival at WSL, we extracted the resin bags and a 20 g subsample of sieved soil (4 mm) separately in a 100 ml PE-bottle with 80 ml 1 M KCl for 1.5 h on an end-over-end shaker and filtered through ashless folded filter paper (DF 5895 150, ALBET LabScience). We measured NO3- (colorimetrically; Norman & Stucki, 1981) and NH4+concentrations (flow injection analysis; FIAS 300, Perkin Elmer) on these filtrates.
At the start of the field incubation, we additionally collected two soil cores of 5 x 12 cm (diameter x depth) in each sampling plot and composited them to measure potential soil net Nmin, soil chemical and biological properties (see below). We also collected an additional sample (5 x 12 cm) to assess soil physical properties, which remained within the steel cylinder. Both ends were tightly closed with plastic caps. Cores were carefully packed to avoid further disturbance, and together with the composited soil samples, were shipped to the laboratory at WSL within a few days after collection.
From the composited samples, we extracted an equivalent of 20 g dry soil with KCl, as described above, and measured NO3- and NH4+concentrations. Realized soil net Nmin was then calculated as the difference between the inorganic N content of samples collected at the end of the incubation (plus N extracted from the bottom resin bag) and the N content at the beginning of the incubation; values were scaled to represent daily mineralization rates (mg N kg-1soil d-1; Risch et al., 2015). Realized soil net Nmin values represent an average period of 42 days prior to peak biomass, typically the highest period of biological activity, and not the entire year (Risch et al., 2019).
A second subsample of the composited sample was used to determine potential soil net Nmin in the laboratory (Risch et al., 2019). Briefly, we weighed duplicate samples (8 g dry soil) into 50-ml Falcon tubes. Soil moisture was brought to 60% of the field capacity of each plot, the Falcon tubes tightly closed and then incubated at 20°C for 42 days in a dark room. Every week the Falcon tubes were opened and ventilated. At the end of the incubation, the soil samples were extracted the same way as described above and NO3- and NH4+ was determined. Potential soil net Nmin was calculated as the difference between the N content before and after the incubation and scaled to represent daily values (mg N kg-1soil d-1). Using our NO3- and NH4+ measures we also calculated potential and realized soil net nitrification and soil net ammonification to be able to better understand the drivers of fertilization and herbivore removal effects on potential and realized soil net Nmin.
A third subsample of the composite soil sample was sieved (2 mm mesh) and microbial biomass (μg Cmic g-1 soil dry weight) was estimated by measuring the maximal respiratory response to the addition of glucose solution (4 mg glucose per g soil dry weight dissolved in distilled water; substrate-induced respiration method) on approximately 5.5 g of soil (Anderson & Domsch, 1978). The rest of the composited sample was dried at 65°C for 48 h, ground and sieved (2 mm mesh) to assess a series of soil chemical properties (Risch et al., 2019). We measured the percentage of clay as an indicator of soil texture (Gee & Bauder, 1986; Risch et al., 2019).
Statistical analyses
Potential and realized soil net Nmin were square root transformed to account for a highly skewed data distribution (yt = sign(y)*sqrt|y|; negative values in the data set impeded log transformation). To assess treatment effects on potential and realized soil net Nmin, we used linear mixed effects models (LMMs) fitted by maximum likelihood using the lme function from the nlme package (version 3.131.1; Pinheiro et al., 2016), R version 3.6.1; R Foundation for Statistical Computing. Treatment (Control, Fence, NPK, NPK+Fence) was a fixed factor, with site and block as random factors, where block was nested within site. We also tested for effects of time since start of treatments in preliminary analyses by adding total treatment years as an additional fixed factor. We did not find a significant effect of years of treatment, and thus dropped this variable from the models. The LMMs were corrected using varIdent if the homogeneity of variance criterion was not met (Pinheiro et al., 2016). To visualize our results, we calculated treatment effects using Cohens’ d statistic (Cohen, 1977; Koricheva et al., 2013). Note that calculating response ratios (or log response ratios) was not possible with our data, as we have both negative and positive values. We also fitted LMMs for potential and realized soil net ammonification and nitrification to gain more insight into how global change affects the processes underpinning potential and realized soil net Nmin. We also sqrt-transformed (see above) these dependent variables. Treatment was included as a fixed factor with random factors as described above. In addition, we assessed how potential and realized soil net Nmin were related to potential and realized soil net ammonification and nitrification, respectively. For this, we calculated site averages for each treatment separately. We then ran LMMs, with potential and realized soil net Nmin as the dependent variable, potential and realized soil net ammonification/nitrification as the independent ones. Site was included as a random factor.
Based on our previous work (Risch et al., 2019) and the existing literature (Schimel & Bennett, 2004; Liu et al., 2017), we developed a priori causal conceptual models of relationships among treatments, environmental drivers, and potential and realized soil net Nmin (Supplementary Fig. S2) to test with structural equation modelling (SEM) using a d-sep approach (Shipley, 2009; Lefcheck, 2016). The variables included in the model were long-term climatic conditions, specifically, site-level mean annual precipitation (MAP) and temperature of the wettest quarter (T.q.wet), plot-level soil texture (clay content) and soil microbial biomass. Mean annual precipitation and T.q.wet were obtained from WorldClim (Hijmans et al., 2005) (http://www.worldclim.org/) and together with the experimental treatments were predicted to directly affect soil properties and soil net Nmin (Supplementary Fig. S2). Soil clay content was, in turn, predicted to affect microbial biomass and soil net Nmin. Because we determined microbial biomass prior to incubating the samples in the laboratory or field, we assumed that the abundance of these microbes would be responsible for N process rates and not vice versa (Supplementary Fig. S2). We tested our conceptual model (Supplementary Fig. S2) using the piecewiseSEM package (version 2.0.2; Lefcheck, 2016) in R 3.4.0, in which a structured set of linear models are fitted individually. This approach allowed us to account for the nested experimental design, and overcome some of the limitations of standard structural equation models, such as small sample sizes (Shipley, 2009; Lefcheck, 2016). We used the lme function of the nlme package to model response variables, including site as a random factor. Good fit of the SEM was assumed when Fisher’s C values were non-significant (p > 0.05). For all significant interactions between covariates and experimental treatments detected in the SEMs, we calculated treatment effect sizes, i.e. the differences in potential or realized soil net Nmin between Control and treatments (Fence, NPK, NPK+Fence) and plotted these values against the climate or soil covariates. Finally, we fitted LMMs for the soil variables included in our SEMs, with treatment as the fixed factor, and with site and block as random factors, where block was nested within site.

format: XLS

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology

Please cite this paper together with the citation for the datafile.

We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil

en: Anthropogenic change and soil net N mineralization


weather-station-davos-wolfgang

maintainer: Jörg Wieder

title_for_slug: weather-station-davos-wolfgang

en: relative-humidity raclets weather pressure temperature

en: Weather Station Davos Wolfgang

en: The data file contains date and time (YYYY-MM-DD hh:mm:ss) in UTC, temperature (°C), relative humidity (%), pressure (hPa) at 10 m above ground and above sea level. The data was averaged over 10 minutes.

en: The dataset contains weather parameters measured at Davos Wolfgang (LON: 9.853594, LAT: 46.835577).

pressure

display_name: pressure

raclets

display_name: raclets

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

weather

display_name: weather

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: precipitation temperature-profiles radiation atmospheric-conditions wind

en: DATA ACCESS

media_type: smet

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

en: Overview plot

media_type: PNG

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

format: PNG

en: Site photo 3

media_type: JPEG

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

en: Site photo 1

en: STB2 CSV

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

en: README

media_type: TXT

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

en: Site photo 2

en: Latest data from Stillberg climate station

en:
 Important

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

atmospheric-conditions

display_name: atmospheric-conditions

precipitation

display_name: precipitation

radiation

display_name: radiation

temperature-profiles

display_name: temperature-profiles

wind

display_name: wind

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


en: treeline-ecosystems stillberg mountain-ecology literature-review long-term-experiment

en: The Stillberg bibliography (Stillberg_bibliography_v1.zip) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals (Stillberg_bibliography_data_v1.csv) along with the metadata file (Stillberg_bibliography_metadata_v1.csv). Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title.

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Over almost fifty years, research at the Stillberg site combined long-term monitoring of the large-scale high-elevation afforestation with experimental manipulations simulating global change impacts. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone across different compartments and scales, from individual trees, non-tree vegetation and soils to whole ecosystems, in the context of global change resulting in more than 150 publications.

 Dataset generation

We compiled a comprehensive list of scientific publications covering research at the Stillberg research site by conducting searches in the literature databases Web of Science and Google Scholar, as well as in the Digital Object Repository of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (DORA). We compiled all publications about the afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, the G-TREE experiment, as well as other studies related to the Stillberg research site.

 Data description

The Stillberg bibliography (Stillberg_bibliography_data_v1.csv) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals. Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title. The bibliography is described in a metadata file (Stillberg_bibliography_metadata_v1.csv). The bibliography along with the metadata file are provided in a ZIP-folder (Stillberg_bibliography_v1.zip).

literature-review

display_name: literature-review

long-term-experiment

display_name: long-term-experiment

mountain-ecology

display_name: mountain-ecology

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

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: Bibliography of the long-term treeline research site Stillberg, Switzerland


envidat-supports-open-science

maintainer: Ionut Iosifescu Enescu

title_for_slug: envidat-supports-open-science

en: research-data-management juypter-notebooks envidat wsl open-science

en: Article as PDF

en:
The article "EnviDat Supports Open Science" originally appeared in WSLintern No. 3 (2020), page 14-15 and it is republished here with permission from the WSLintern editorial team. It contains guidelines for WSL scientists about the main issues behind Open Science and how to pragmatically approach the complexities of doing Open Science with EnviDat’s support.

License: This article is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

display_name: envidat

juypter-notebooks

display_name: juypter-notebooks

open-science

display_name: open-science

research-data-management

display_name: research-data-management

wsl

display_name: wsl

en: EnviDat Supports Open Science


maintainer: Frédéric Ducry, Responsable de diffusion

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

label: Métadonnée sur geocat.ch

label: Métadonnée complète sur viageo.ch

fr: Réseau routier du 30km/h de nuit (SHP)

media_type: SHP

fr: Télécharger sur viageo.ch

format: SHP

fr:
Données du réseau routier du 30km/h de nuit de la commune de Lausanne.
Contient les axes des voies de communication, hors zones modérées déjà existantes, impactés par les restrictions nocturne de vitesse.

spatial: Lausanne

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

lausanne

fr: Ville de Lausanne

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

political_level: commune

value: Stadt Lausanne - DCAT Harvester

fr: Réseau routier du 30km/h de nuit


maintainer: Loïc Pellissier Pellissier

en: alps elevation community-indices environmental-gradients plant-herbivore-interactions herbivores-communities functional-traits

en: Nematode surveys

en: Surveys of soil nematode along elevation

en: Orthoptera surveys

en: Species inventories of Orthoptera

en: Vegetion surveys

en: Species inventories of plants

en: Study sites

en: Coordinates and elevation of the study sites

en: Plant traits

en: Plant functional traits (SLA, LDMC, carbon and nitrogen content, punch strenght; averaged by species)

en: Orthoptera traits

en: Orthoptera functional traits (incisive mandibular strength averaged by species)

en: Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017.

alps

display_name: alps

community-indices

display_name: community-indices

elevation

display_name: elevation

environmental-gradients

display_name: environmental-gradients

functional-traits

display_name: functional-traits

herbivores-communities

display_name: herbivores-communities

plant-herbivore-interactions

display_name: plant-herbivore-interactions

en: Above- and below-ground herbivore communities along elevation


en: energy irradiance mountain reflection photovoltaic albedo snow

en: PV Data

media_type: application/zip

en: Windows users use the 7-zip app to extract the zip-file.

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow

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.


stationnement

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

title_for_slug: stationnement

name: Frédéric Ducry, Responsable de diffusion

fr: Stationnement (CSV)

fr: Stationnement (SHP)

fr: Guichet cartographique de Lausanne

media_type: SERVICE

fr: Guichet en ligne : Guichet cartographique de Lausanne

fr:
Données du stationnement public de la commune de Lausanne.
Contient les places de parcs et les zones macarons.

geography

en: Geography

mobility

en: Mobility and Transport

fr: Stationnement


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

en: Field station data (NOF)

media_type: text/csv

en: Data file.

en: Data plot of the forest station (NOB)

media_type: application/pdf

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

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: Site photo of the field station (NOF)

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

en: Site photo of the forest station (NOB)

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

en: Data plot of the field station (NOF)

en: Forest station data (NOB)

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

fr: Education, science

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


marquage-routier

title_for_slug: marquage-routier

fr: Marquage routier (SHP)

fr: Marquage routier (CSV)

fr:
Données du marquage routier de la commune de Lausanne.
Contient le balisage au sol.

geography

en: Geography

fr: Marquage routier


zone-moderee

title_for_slug: zone-moderee

fr: Zone modérée (SHP)

fr: Télécharger sur viageo.ch

fr: Zone modérée (CSV)

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

mobility

en: Mobility and Transport

fr: Zone modérée


horodateur

title_for_slug: horodateur

fr: Horodateur (SHP)

fr: Horodateur (CSV)

fr: Données des horodateurs de la commune de Lausanne. Contient les emplacements géographiques des horodateurs.

geography

fr: Géographie

mobility

fr: Mobilité et transports

lausanne

fr: Ville de Lausanne

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

fr: Horodateur


mobilier-urbain

title_for_slug: mobilier-urbain

fr: Guichet cartographique de Lausanne

fr: Guichet en ligne : Guichet cartographique de Lausanne

fr: Mobilier urbain (SHP)

fr: Mobilier urbain (CSV)

fr:
Données du mobilier urbain de la commune de Lausanne.
Contient les emplacements géographiques des bancs publics.

fr: Mobilier urbain


wanderwegsperrungen

title_for_slug: wanderwegsperrungen

fr: wanderweg tourismus-und-freizeit

de: wanderweg tourismus-und-freizeit

en: wanderweg tourismus-und-freizeit

it: wanderweg tourismus-und-freizeit

label: geocat.ch permalink

fr: Wanderwegsperrungen

de: Wanderwegsperrungen

en: Wanderwegsperrungen

it: Wanderwegsperrungen

format: WMS

fr: Auf dem Schwyzer Wanderwegnetz kommt es immer wieder zu kürzeren oder längeren Sperrungen, welche aufgrund von Sanierungen, Holzereiarbeiten, Rutschung oder anderen Naturgefahren notwendig sind. Solche Sperrungen sollen dem Fachbereich Fuss- und Wanderwege gemeldet werden, damit die Sperrungen inklusive Infoblatt auf dem WebGIS publiziert und aktuell gehalten werden können. Damit dies möglich ist, muss auch das Ende jeder Sperrung gemeldet werden.

spatial: Kanton Schwyz (SZ)

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

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

political_level: canton

value: SZ-Kt Geoinformation - Geocat Harvester


amenagement-cyclable

title_for_slug: amenagement-cyclable

fr: Aménagement cyclable (CSV)

fr: Télécharger sur viageo.ch

fr: Aménagement cyclable (SHP)

fr:
Données des aménagements cyclables de la commune de Lausanne.
Contient les aménagements, les emplacements en libre-service, les pompes et les parkings pour vélos.

fr: Aménagement cyclable


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

format: WFS

fr: Nutzungsplanung kommunal Gemeinde Arth

de: Nutzungsplanung kommunal Gemeinde Arth

en: Nutzungsplanung kommunal Gemeinde Arth

it: Nutzungsplanung kommunal Gemeinde Arth

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Arth


de: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Innerthal

fr: ÖREB Nutzungsplanung kommunal Gemeinde Innerthal


fr: bauzone zonenplan grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Muotathal

en: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Muotathal


fr: oreb zonenplan bauzone grundplan flachennutzungsplan

fr: ÖREB: Nutzungsplanung kommunal, Muotathal, Sondernutzungsplanung

fr: ÖREB Sondernutzungsplanung Gemeinde Muotathal

fr: Die Gemeinden können Sondernutzungspläne erlassen und damit die allgemeine Nutzungsplanung in einem konkreten, klar umgrenzten Areal weiter präzisieren.


de: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

it: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Lauerz

fr: ÖREB Nutzungsplanung kommunal Gemeinde Lauerz


en: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Wangen

spatial: Wangen (SZ)


it: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

spatial: Rothenthurm

fr: ÖREB Nutzungsplanung kommunal Gemeinde Rothenthurm


fr: zonenplan grundplan bauzone nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Freienbach

spatial: Freienbach


spatial: Steinerberg

fr: ÖREB Nutzungsplanung kommunal Gemeinde Steinerberg


ortstafeln

title_for_slug: ortstafeln

label: WebGIS Kanton Schwyz, Thema einblenden

fr: Ortstafeln

de: Ortstafeln

en: Ortstafeln

it: Ortstafeln

fr: Abbildung der Ortstafeln auf den Kantonsstrassen des Kantons Schwyz. Die Daten werden bei Bedarf nachgeführt.


fr: nutzungsplan zonenplan bauzone grundplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

fr: Nutzungsplanung kommunal Gemeinde Gersau

spatial: Gersau


fr: nutzungsplanung strasse kanton oreb flachennutzungsplan

fr: OeREB Nutzungsplanung kantonal Teil Strasse, Anschluss Steinerstrasse Schwyz, Grundnutzung

fr: OeREB Nutzungsplanung kantonal Teil Strasse, Anschluss Steinerstrasse Schwyz, linienbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal Teil Strasse, Anschluss Steinerstrasse Schwyz, überlagernde Festlegung

fr: Nutzungsplanung kantonal Teil Strasse. Geobasisdatensatz Nr. 73B gemäss KGeoiV Kanton Schwyz (SRSZ 214.111)

fr: ÖREB Nutzungsplanung kantonal Teil Strasse Anschluss Steinerstrasse Schwyz


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Vorderthal

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Vorderthal


flughindernisse-kanton-schwyz

title_for_slug: flughindernisse-kanton-schwyz

fr: Flughindernisse Kanton Schwyz

de: Flughindernisse Kanton Schwyz

en: Flughindernisse Kanton Schwyz

it: Flughindernisse Kanton Schwyz

fr: Linienförmige Lufthindernisse im Kanton Schwyz mit Maximalhöhen von 25 m über Boden. Es handelt sich vorwiegend um Seilanlagen der Landwirtschaft wie Transport- und Heuseile. Die Daten sollen in erster Linie dazu dienen, die Flugsicherheit bei Helikoptereinsätzen zu erhöhen. Gewähr auf Vollständigkeit und Haftungsansprüche sind ausgeschlossen. Auch bezüglich Genauigkeit erheben wir nicht den Anspruch auf Geometerqualität. Die Nutzung dieser Daten erfolgt auf eigene Verantwortung. Hinweise, die zur Aktuellhaltung dieses Datensatzes beitragen, werden gerne entgegengenommen. Diese Daten ergänzen die Datenbank des Bundesamtes für Zivilluftfahrt BAZL, welches für die - meldepflichtigen - Luftfahrthindernisse über 25 m Höhe zuständig ist.


fr: Darstellung der Imkerstände und Sperrkreise bei Tierseuchenausbrüchen der vier Kantone NW, OW, SZ, UR auf dem WebGis des Kantons Schwyz.

fr: Der Veterinärdienst der Urkantone liefert die Grunddaten der Imker an das Amt für Geoinformation. Mit Hilfe der Grunddaten werden in einem ersten Schritt sämtliche erfassten Bienenstände auf dem WebGIS des Kantons Schwyz dargestellt. Bei einem Tierseuchenausbruch meldet der VdU dem Amt für Geoinformationen den betroffenen Stand. Je nach Seuche (Sauerbrut = 1 km, Faulbrut = 2 km) wird der Sperrkreis auf dem WebGIS SZ eingezeichnet. Via Link auf der Homepage des Labors der Urkantone können interessierte, involvierte Imker nachschauen, wo überall Bienenstände sind und welche Gebiete allenfalls wegen einer Tierseuche gesperrt sind.

name: Veterinärdienst der Urkantone (VdU), Laboratorium der Urkantone


fr: kanton flachmoor oreb nutzungsplanung biotop

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Hopfräben, linienbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Hopfräben, Grundnutzung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Hopfräben, objektbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Hopfräben, überlagernde Festlegung

fr: Naturschutzgebiet Hopfräben Rechtsgültige Darstellung des kantonalen Nutzungsplanes im Bereich Natur- und Heimatschutz

fr: ÖREB Nutzungsplanung kantonal Bereich Natur- und Heimatschutz Hopfräben


fr: oreb zonenplan bauzone grundplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

fr: ÖREB: Nutzungsplanung kommunal, Unteriberg, Sondernutzungsplanung

fr: ÖREB Sondernutzungsplanung Gemeinde Unteriberg

fr: Die Gemeinden können Sondernutzungspläne erlassen und damit die allgemeine Nutzungsplanung in einem konkreten, klar umgrenzten Areal weiter präzisieren.

spatial: Unteriberg


fr: Grundwasserschutzareal

de: Grundwasserschutzareal

en: Grundwasserschutzareal

it: Grundwasserschutzareal

fr: Grundwasserschutzareale sind Teil des planerischen Gewässerschutzes. Sie dienen der Sicherstellung des Grundwassers bezüglich einer künftigen Grundwasserbewirtschaftung (Anreicherung oder Nutzung).

fr: Grundwasserschutzareale

de: Grundwasserschutzareale

en: Grundwasserschutzareale

it: Grundwasserschutzareale


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Schübelbach

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Schübelbach


fr: Nutzungsplanung kommunal Gemeinde Lachen

spatial: Lachen


fr: ÖREB Nutzungsplanung kommunal Gemeinde Vorderthal


fr: oreb zonenplan bauzone grundplan flachennutzung

fr: ÖREB: Nutzungsplanung kommunal, Freienbach, Sondernutzungsplanung

fr: ÖREB Sondernutzungsplanung Gemeinde Freienbach

de: Die Gemeinden können Sondernutzungspläne erlassen und damit die allgemeine Nutzungsplanung in einem konkreten, klar umgrenzten Areal weiter präzisieren.


spatial: Altendorf

fr: ÖREB Nutzungsplanung kommunal Gemeinde Altendorf


fr: kanton flachmoor oreb nutzungsplanung biotop

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Bätzimatt, überlagernde Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Bätzimatt, linienbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Bätzimatt, Grundnutzung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Bätzimatt, objektbezogene Festlegung

fr: Naturschutzgebiet Bätzimatt Rechtsgültige Darstellung des kantonalen Nutzungsplanes im Bereich Natur- und Heimatschutz

fr: ÖREB Nutzungsplanung kantonal Bereich Natur- und Heimatschutz Bätzimatt


fr: kanton flachmoor biotop

de: kanton flachmoor biotop

en: kanton flachmoor biotop

it: kanton flachmoor biotop

fr: WFS-Dienst des Kantons Schwyz

fr: ÖREB: Kantonale Nutzungsplanung: Naturschutzgebiete, linienbezogene Festlegung

fr: ÖREB: Kantonale Nutzungsplanung: Naturschutzgebiete, Grundnutzung

fr: ÖREB: Kantonale Nutzungsplanung: Naturschutzgebiete, überlagernde Festlegung

fr: ÖREB: Kantonale Nutzungsplanung: Naturschutzgebiete, objektbezogene Festlegung

fr: Rechtsgültige Darstellung aller kantonalen Nutzungspläne im Bereich Natur- und Heimatschutz

fr: Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz ÖREB


fr: rettungssystem herzkreislaufsystem

de: rettungssystem herzkreislaufsystem

en: rettungssystem herzkreislaufsystem

it: rettungssystem herzkreislaufsystem

fr: AED-Standorte

de: AED-Standorte

en: AED-Standorte

it: AED-Standorte

fr: Diese Datenebene zeigt die AED-Standorte (automatisierter externer Defibrillator) im Kanton Schwyz, die rund um die Uhr zugänglich sind.


fr: bauzone zonenplan grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

fr: ÖREB Nutzungsplanung kommunal Gemeinde Unteriberg


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Sattel

spatial: Sattel


fr: Nutzungsplanung kommunal Gemeinde Morschach

spatial: Morschach


panoramatafeln

title_for_slug: panoramatafeln

fr: Panoramatafeln

de: Panoramatafeln

en: Panoramatafeln

it: Panoramatafeln

fr: Der Kanton Schwyz ist zuständig für das Hauptwanderwegnetz und trägt dafür die Kosten für Planung, Bau, rechtliche Sicherung, Unterhalt und Markierung, soweit dafür nicht Dritte zuständig sind. Um die Attraktivität des Hauptwanderwegnetzes zu steigern, wurden an geeigneten Orten zur Erklärung der Bergwelt und Umgebung Panoramatafeln erstellt. Es gibt über den ganzen Kanton verteilt weitere Panoramatafeln, welche auf private Initiative oder von Gemeinden/Koporationen erstellt wurden und von diesen auch unterhalten werden. Diese Panoramatafeln sind in diesem Datensatz jedoch nicht enthalten.

spatial: Kanton Schwyz (SZ)


fr: grundplan zonenplan bauzone nutzungsplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

fr: Nutzungsplanung kommunal Gemeinde Wollerau

spatial: Wollerau


fr: nutzungsplan zonenplan bauzone grundplan flachennutzungsplan

fr: Nutzungsplanung kommunal Gemeinde Steinen

spatial: Steinen


sportanlagen

title_for_slug: sportanlagen

fr: A102a: Sportanlagen

de: A102a: Sportanlagen

en: A102a: Sportanlagen

it: A102a: Sportanlagen

fr: Sportanlagen

de: Sportanlagen

en: Sportanlagen

it: Sportanlagen

fr: Übersicht aller Sportanlagen im Kanton Schwyz. Neben den Koordinaten und dem Typ der Sportanlage ist jeweils auch ein Link zum Betreiber enthalten.


fr: kanton flachmoor oreb nutzungsplanung biotop

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Frauenwinkel, überlagernde Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Frauenwinkel, objektbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Frauenwinkel, Grundnutzung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Frauenwinkel, linienbezogene Festlegung

fr: Naturschutzgebiet Frauenwinkel Rechtsgültige Darstellung des kantonalen Nutzungsplanes im Bereich Natur- und Heimatschutz

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

fr: ÖREB Nutzungsplanung kantonal Bereich Natur- und Heimatschutz Frauenwinkel


geschwindigkeitsbereiche

title_for_slug: geschwindigkeitsbereiche

fr: erlaubte Geschwindigkeiten auf Kantonsstrassen

fr: Abbildung der Geschwindigkeit auf den Kantonsstrassen des Kantons Schwyz

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

fr: Geschwindigkeitsbereiche

de: Geschwindigkeitsbereiche

en: Geschwindigkeitsbereiche

it: Geschwindigkeitsbereiche


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Feusisberg

fr: ÖREB Nutzungsplanung kommunal Gemeinde Feusisberg


fr: zonenplan grundplan bauzone nutzungsplan flachennutzungsplan

de: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111).

spatial: Tuggen

fr: ÖREB Nutzungsplanung kommunal Gemeinde Tuggen


de: kanton flachmoor oreb nutzungsplanung biotop

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Schwantenau, objektbezogene Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Schwantenau, überlagernde Festlegung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Schwantenau, Grundnutzung

fr: OeREB Nutzungsplanung kantonal, Bereich Natur- und Heimatschutz, Schwantenau, linienbezogene Festlegung

fr: Naturschutzgebiet Schwantenau Rechtsgültige Darstellung des kantonalen Nutzungsplanes im Bereich Natur- und Heimatschutz

fr: ÖREB Nutzungsplanung kantonal Bereich Natur- und Heimatschutz Schwantenau


baustellen

title_for_slug: baustellen

fr: Baustellen

de: Baustellen

en: Baustellen

it: Baustellen

fr: Baustellen, welche mehr als 5 Tage dauern, werden erfasst.


fr: Solarkataster

de: Solarkataster

en: Solarkataster

it: Solarkataster

fr: Dieses Projekt stellt einerseits die im Kanton Schwyz eingeführte Pflicht der Eigenstromerzeugung (Photovoltaik) in Form einer Vollzugsfläche dar. Andererseits werden die Globalstrahlungsdaten dargestellt, auf welchen die Berechnung der Vollzugsfläche beruht.


fr: belasteter-standort altstandort grundwasserschutz altlast

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

fr: Kataster der belasteten Standorte (KbS)

de: Kataster der belasteten Standorte (KbS)

en: Kataster der belasteten Standorte (KbS)

it: Kataster der belasteten Standorte (KbS)

fr: Bei den im Kataster aufgenommen Standorten handelt es sich um Standorte mit begrenzter Ausdehnung, bei denen feststeht oder mit grosser Wahrscheinlichkeit zu erwarten ist, dass sie mit Abfällen belastet sind (Art. 5 Abs. 3 Altlasten-Verordnung). Nicht in den Kataster eingetragen werden (insbesondere über den Luftpfad verursachte) grossflächige diffuse Belastungen sowie Areale mit ausschliesslich belasteter Gebäudesubstanz (z. B. durch Asbest). Beim Kataster der belasteten Standorte handelt es sich um ein dynamisches Arbeitsinstrument, bei dem abhängig von den aktuellen Erkenntnissen Standorte aufgenommen, verändert oder wieder gelöscht werden. Der Kataster gibt somit immer nur den aktuellen Wissensstand wieder, eine Gewähr für die Richtigkeit (z. B. dass ein nicht eingetragenes Grundstück unbelastet ist) besteht nicht. Insbesondere im Rahmen von Bauvorhaben oder Nutzungsänderungen können altlastenrechtliche oder abfallrechtliche Massnahmen notwendig werden. Der Datensatz ist auch Bestandteil des Katasters der öffentlich-rechtlichen Eigentumsbeschränkungen (ÖREB)


fr: WFS-Dienst des Kantons Schwyz

fr: Revitalisierung Gewässer: Ökomorphologische Klassierung

fr: Ökomorphologie Fliessgewässer

de: Ökomorphologie Fliessgewässer

en: Ökomorphologie Fliessgewässer

it: Ökomorphologie Fliessgewässer

fr: A026b: Ökomorphologie

de: A026b: Ökomorphologie

en: A026b: Ökomorphologie

it: A026b: Ökomorphologie

fr: Darstellung des ökomorphologischen Zustandes der Fliessgewässer im Kanton Schwyz (Ökomorphologie, Stufe F). Die strukturelle Beschaffenheit eines Fliessgewässers hat neben der Gewässerqualität massgeblichen Einfluss auf dessen ökologische Funktionsfähigkeit. Die Ökomorphologiekartierung dient daher der Identifizierung strukturell stark beeinträchtiger Gewässerabschnitte und als Planungsgrundlage für zukünftige Revitalisierungen. Andere Datengrundlagen: - Digitales Gewässernetz der Landeskarten 1:25’000 - Primärflächen 1:25’000 - Gemeinde, Bezirks- und Kantonsgrenzen 1:25’000 - Höhenmodell RIMINI (Auflösung 250 m in der Horizontalen) - Digitale Landeskarten 1:25’000 - Digitale Landeskarten 1:100’000 - Fischgewässer-Karte des Kantons Schwyz 2020 wurden die bestehenden Daten auf das neue Refrenz-Fliessgewässernetz des Kanton Schwyz referenziert.


abfall-und-rohstoffe

title_for_slug: abfall-und-rohstoffe

fr: abbaustelle bausperrgut rohstoffgewinnung biogener-abfall sonderabfall bauabfalle rekultivierung abfallablagerung kompostierbarer-abfall altmetall

fr: Abfall/Rohstoffe: Steinbruch

de: Abfall/Rohstoffe: Steinbruch

en: Abfall/Rohstoffe: Steinbruch

it: Abfall/Rohstoffe: Steinbruch

fr: Abfall/Rohstoffe: Altmetalle

de: Abfall/Rohstoffe: Altmetalle

en: Abfall/Rohstoffe: Altmetalle

it: Abfall/Rohstoffe: Altmetalle

fr: Abfall/Rohstoffe: Grüngut

de: Abfall/Rohstoffe: Grüngut

en: Abfall/Rohstoffe: Grüngut

it: Abfall/Rohstoffe: Grüngut

fr: A011a: Abfall und Rohstoffe

de: A011a: Abfall und Rohstoffe

en: A011a: Abfall und Rohstoffe

it: A011a: Abfall und Rohstoffe

fr: Abfall/Rohstoffe: Deponie Typ B

de: Abfall/Rohstoffe: Deponie Typ B

en: Abfall/Rohstoffe: Deponie Typ B

it: Abfall/Rohstoffe: Deponie Typ B

fr: Abfall/Rohstoffe: Altfahrzeuge

de: Abfall/Rohstoffe: Altfahrzeuge

en: Abfall/Rohstoffe: Altfahrzeuge

it: Abfall/Rohstoffe: Altfahrzeuge

fr: Abfall/Rohstoffe: Sonderabfälle aus Gewerbe

fr: Abfall/Rohstoffe: Kiesgrube, Sandgrube

de: Abfall/Rohstoffe: Kiesgrube, Sandgrube

en: Abfall/Rohstoffe: Kiesgrube, Sandgrube

it: Abfall/Rohstoffe: Kiesgrube, Sandgrube

fr: Abfall/Rohstoffe: Deponie Typ A

de: Abfall/Rohstoffe: Deponie Typ A

en: Abfall/Rohstoffe: Deponie Typ A

it: Abfall/Rohstoffe: Deponie Typ A

fr: Als Ergänzung zu www.abfall.ch werden in der Karte „Abfall und Rohstoffe“ die Abfallanlagen für Bauabfälle und -sperrgut, biogene Abfälle, Altmetalle, gewerbliche Sonderabfälle sowie die Rohstoffgewinnung und Rekultivierungsstellen geografisch dargestellt. Primär soll die Karte einen Überblick über die einzelnen Standorte verschaffen.

fr: Standorte Abfall und Rohstoffe

de: Standorte Abfall und Rohstoffe

en: Standorte Abfall und Rohstoffe

it: Standorte Abfall und Rohstoffe


maintainer: Kantonspolizei des Kantons Zürich, Abteilung Kriminalpolizeiliches Datenmanagement

de: strafbarehandlungen kriminalitaet strafdelikte straftaten gemeinden einbrueche

label: Vorbereiteter Code in R oder Python für jedes Dataset mit csv-Datei(en)

de: Anzahl Einbrüche nach Gemeinden und in den Stadtkreisen der Stadt Zürich

de: Das Total Einbrüche beinhaltet alle polizeilich bekannten, vollendeten und versuchten Einbruchs- und Einschleichdiebstähle. Die Bevölkerungszahlen sind der Einwohnerstatistik des Bundes am Ende des Vorjahres entnommen (bis 2010 ESPOP, ab 2011 STATPOP). Damit wird die Häufigkeitszahl berechnet (Anzahl registrierten Straftaten pro 1000 Einwohner).

de: Anzahl der Einbrüche wie sie in der Kriminalstatistik der Kantonspolizei Zürich erfasst werden. Aufgegliedert nach Gemeinden (im Fall der Stadt Zürich nach Stadtkreisen) und ergänzt mit Angaben zur Bevölkerungszahl. Die polizeiliche Kriminalstatistik (PKS) des Kantons Zürich wird jährlich publiziert. Die polizeiliche Kriminalstatistik verzeichnet nur die polizeilich bekannt gewordene Kriminalität - das sogenannte Hellfeld. Sie ist eine Ausgangsstatistik. D.h. die Straftaten erscheinen nicht zum Tatzeitpunkt in der Statistik. Ausschlaggebend für die Zählung in der PKS ist der Zeitpunkt, an dem die Polizei einen ersten Rapport zur Straftat abgeschlossen hat.

einbrueche

display_name: einbrueche

gemeinden

display_name: gemeinden

kriminalitaet

display_name: kriminalitaet

strafbarehandlungen

display_name: strafbarehandlungen

strafdelikte

display_name: strafdelikte

straftaten

display_name: straftaten

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht

en: Crime, criminal justice

it: Criminalità, diritto penale

kantonspolizei-kanton-zuerich

de: Kantonspolizei Zürich

de: Im Auftrag der Regierung und damit der Bevölkerung übernimmt die Kantonspolizei Zürich Verantwortung für die Sicherheit im Kanton Zürich, indem sie vorausschauend handelt, entschlossen Hilfe leistet und Straftaten konsequent aufklärt. Dabei folgt sie den Grundsätzen der Verhältnismässigkeit und der Gesetzmässigkeit.

value: ZH-Kt Kantonspolizei - DCAT Harvester

de: Anzahl Einbrüche nach Gemeinden des Kantons Zürich


maintainer: Kantonspolizei des Kantons Zürich, Verkehrstechnische Abteilung

de: verkehrsunfaelle motorfahrzeuge strassenverkehrsunfaelle langsamverkehr fahrzeuge sachschaden motorraeder strassenverkehr

label: Unfalldaten der Schweiz, Statistiken nach Kantonen (Bundesamt für Strassen ASTRA)

label: Unfallkarte der Schweiz (Geoportal des Bundes)

label: Polizeilich registrierte Verkehrsunfälle auf dem Stadtgebiet Zürich seit 2011 (Dienstabteilung Verkehr, Sicherheitsdepartement Stadt Zürich)

de: Zu jedem Strassenverkehrsunfall sind der Unfallort (geokodiert), das Jahr, der Monat, der Wochentag, die Unfallstunde, die Strassenart, der Unfalltyp (ab 1. Juli 2015 inklusive Bagatellunfälle zB. Parkschäden), die Unfallbeteiligung ('Fussgänger', 'Velo (ohne E-Bikes)', 'Motorrad') und die Unfallschwerekategorie verfügbar. Detaillierte Definitionen der Variabeln sind in der Ressource "Minimales Geodatenmodell Strassenverkehrsunfallorte (ASTRA)" dokumentiert.

de: Detaillierte Definitionen der enthaltenen Variabeln.

media_type: application/json

format: JSON

mimetype: application/json

de: Die Verkehrsunfallstatistik des Kantons Zürich (VUSTA) enthält die Strassenverkehrsunfälle mit Personen- und Sachschäden, die durch die Kantonspolizei Zürich, die Dienstabteilung Verkehr der Stadt Zürich sowie die Stadtpolizei Winterthur registriert wurden. Sie wird einmal jährlich aktualisiert, jeweils gegen Ende des ersten Quartals des Folgejahres

fahrzeuge

display_name: fahrzeuge

langsamverkehr

display_name: langsamverkehr

motorfahrzeuge

display_name: motorfahrzeuge

motorraeder

display_name: motorraeder

sachschaden

display_name: sachschaden

strassenverkehr

display_name: strassenverkehr

strassenverkehrsunfaelle

display_name: strassenverkehrsunfaelle

verkehrsunfaelle

display_name: verkehrsunfaelle

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

de: Polizeilich registrierte Verkehrsunfälle im Kanton Zürich seit 2011


maintainer: Fachbereich Raum, Umwelt

de: emission klima industrieabfall treibhausgas flussiggas heizol ausstoss co2 erdgas

license: CC BY 3.0 CH

de: jsonl

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (jsonl)

de: csv

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (csv)

de: rdfxml

media_type: application/rdf+xml

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (rdfxml)

format: RDF XML

mimetype: application/rdf+xml

de: fgb

media_type: application/octet-stream

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (fgb)

format: octet-stream

mimetype: application/octet-stream

de: jsonld

media_type: application/ld+json

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (jsonld)

format: JSON-LD

mimetype: application/ld+json

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (n3)

de: json

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (json)

de: xls

media_type: application/xls

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (xls)

mimetype: application/xls

de: turtle

media_type: text/turtle

de: CO2-Emissionen nach Energieträger, Gemeinde und Jahr (seit 2018) (turtle)

format: RDF Turtle

mimetype: text/turtle

de: EnergiestatistikCO2-Emissionen in Tonnen und pro Einwohner/in, die durch Energiegewinnung und -verbrauch innerhalb des Kantons Basel-Landschaft entstehen. CO2-Emissionen aus Treibstoffen (Benzin, Diesel) sind darin nicht berücksichtigt, da diese nur auf Ebene des gesamten Kantons bekannt sind. Der Datensatz ist Teil der kantonalen Energiestatistik, die alle zwei Jahre durchgeführt wird.Die CO2-Emissionen pro Einwohner/in werden aufgrund der mittleren Wohnbevölkerung berechnet. Die Umrechnung von Energieverbrauch zu CO2-Emissionen wird anhand der Emissionsfaktoren gemäss dem nationalen Treibhausgasinventar gemacht. Erneuerbare Energieträger gelten als klimaneutral, da über den gesamten Zyklus die gleiche Menge CO2 gebunden wie emittiert wird. Deshalb werden sie hier nicht aufgeführt.

ausstoss

display_name: ausstoss

emission

display_name: emission

erdgas

display_name: erdgas

flussiggas

display_name: flussiggas

heizol

display_name: heizol

industrieabfall

display_name: industrieabfall

klima

display_name: klima

treibhausgas

display_name: treibhausgas

energy

fr: Energie

de: Energie

en: Energy

it: Energia

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

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

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