maintainer: Ana Beatriz Pierri Daunt

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

en: 3. Use of any early concept.

media_type: CSV

en: 6. Protocol

media_type: XLSX

en: 5. Planning steps.

en: 4. Use of any additional concept.

en: 1. Frequency of early concepts.

en: 2. Frequency of additional 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


maintainer: EnviDat Support

en: snow-water-equivalent uncertainty climate-change-impact natural-climate-variability rain-on-snow cryosphere

state: active

type: dataset

en: climate realizations

format: SERVICE

en: The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty

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: Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century


maintainer: Matthias Haeni

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

en: Field station data (ISF)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Data plot of the forest station (ISB)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Forest station data (ISB)

en: Site aerial photo (Isone)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site photo of the forest station (ISB)

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

en: Site photo of the field station (ISF)

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

en: Data plot of the field station (ISF)

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 Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone 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: Isone, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: outgoing davos shortwave-radiation longwave-radiation incoming

en: Metadata

en: Parameter file

media_type: text/plain

format: TXT

mimetype: text/plain

en: DATA ACCESS

media_type: SMET

en: Processing doc

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

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


maintainer: Robert Pazúr

en: machine-learning sentinel-2 agriculture switzerland vegetation-indices cropland remote-sensing grassland phenology habitat

en: Cropland and grassland map of Switzerland  (v.1.0)

media_type: TIFF

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; other LC classes are masked out from the map

format: TIFF

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.0)

en: !!! Please check out the newer version in this repository !!! Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.

en: (current version) Cropland and grassland map of Switzerland (v.1.5)

media_type: geotiff

format: GeoTIFF

en: Cropland, grassland, and shrubland map of Switzerland (v1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.5)

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.5)

media_type: JS

en: The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland. Compare to the previous version the newer version includes the shadow masking procedure which might be important in the mountainous areas.

en: (current version) Cropland, grassland, and shrubland map of Switzerland (v.1.5)

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6  (v1.0)

en:
!!! Please check out the newer version in the repository !!!
Mask of unsealed surfaces of Switzerland based on 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.5)

en: Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6.

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.0)

en: !!! Please check out the newer version in the repository !!! The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland

en: We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.

agriculture

display_name: agriculture

cropland

display_name: cropland

grassland

display_name: grassland

habitat

display_name: habitat

machine-learning

display_name: machine-learning

phenology

display_name: phenology

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

vegetation-indices

display_name: vegetation-indices

en: Cropland and grassland map of Switzerland based on Sentinel-2 data


maintainer: Sven-Eric Hopf

en: forest ash-dieback fraxinus iap monitoring

en: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

media_type: .pdf

en: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)

en:
In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)

ash-dieback

display_name: ash-dieback

forest

display_name: forest

fraxinus

display_name: fraxinus

iap

display_name: iap

monitoring

display_name: monitoring

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: particles dust deposition snow turbulence atmosphere hill

en: preferential deposition patterns of all simulations performed

media_type: application/zip

en: The data consist of matlab files. Each files contains a 2D array with the values of deposition at the surface nodes. Each array has Nx x Ny values. Please refer to the original paper for additional information on the spatial resolution and grid size.

format: ZIP

mimetype: application/zip

en:
Preferential deposition of snow and dust over complex terrain is responsible for a wide range of environmental processes, and accounts for a significant source of uncertainty in surface mass balances of cold and arid regions. Despite the growing body of literature on the subject, previous studies reported contradictory results on the location and magnitude of deposition maxima and minima. This study aims at unraveling the governing processes of preferential deposition in neutrally stable atmosphere and to reconcile seemingly inconsistent results of previous works. For this purpose, a comprehensive modeling approach is developed, based on large eddy simulations of the turbulent airflow, Lagrangian stochastic model of particle trajectories, and immersed-boundary method to represent the underlying topography. The model performance is tested against wind tunnel measurements of dust deposition around isolated and sequential hills. A scale analysis is then performed to investigate the dependence of snowfall deposition on the particle Froude and Stokes numbers, which fully account for the governing processes of inertia, flow advection, and gravity. Additional simulations are performed, to test whether the often used assumption of inertialess particles yields accurate deposition patterns. We finally show that our scale analysis provides qualitatively similar results for hills with different aspect ratios.

This dataset contains the results of the LES-LSM model. Each Matlab file contains a 2D array of deposition values (in kg/m2) in each surface node (ix, iy) of the Cartesian grid. The file names are consistent with the simulation numbers listed in the original paper. For additional information, please refer to "Preferential deposition of snow and dust over hills: governing processes and relevant scales" by F. Comola, M. G. Giometto, S. T. Salesky, M. B. Parlange, and M. Lehning, Journal of Geophysical Research: Atmospheres, 2019.

atmosphere

display_name: atmosphere

deposition

display_name: deposition

dust

display_name: dust

hill

display_name: hill

particles

display_name: particles

snow

display_name: snow

turbulence

display_name: turbulence


en: food-preferences latent-semantic-analysis national-dishes food-taste-similarity agro-food-trade

en: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)

media_type: .zip

en:
The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

en: National dishes, migration data and data for bilateral food trade flows

media_type: Stata dta file

en:
The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

en: information on ingredients of national dishes

media_type: .csv

en: shows information of ingredients of all national dishes of 171 countries and their names

en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

en: Data of national dishes, their similarity and trade flows


maintainer: Sofia Pagliarin

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

en: Information on data sources

media_type: mpk

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

en:
Dataset description

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

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

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

 Dataset composition

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

_IMD15_BCN_MI_Sources.csv_: Information on data sources

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

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

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

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

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

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

 Further information on the Dataset

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

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

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

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

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

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

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

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

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

barcelona

display_name: barcelona

copernicus

display_name: copernicus

imperviousness

display_name: imperviousness

milan

display_name: milan

soil-sealing

display_name: soil-sealing

urban-atlas

display_name: urban-atlas

en: Soil sealing Barcelona and Milan different territorial levels


en: blowing-snow eddy-covariance-measurements antarctica large-eddy-simulations meteorological-data drifting-snow turbulence mass-flux micro-rain-radar

media_type: zip-compressed folder of text files (f90)

en: Source code of the large-eddy simulations coupled with a Lagrangian stochastic model (LES-LSM), available on GitLab.

en: Measurement data from Micro Rain Radar (MRR)

media_type: NetCDF

en: Remote sensing data of blowing snow from a Micro Rain Radar (MRR).

en: Measurement data from snow particle counter at MRR site

media_type: zip-compressed folder of csv

en: Near-surface observations of drifting snow from a Snow Particle Counter (SPC) installed at the location of the Micro Rain Radar.

en: Simulation data for a situation with negligible snow transport

en: Results from two LES-LSM simulations called NoDrift_1 and NoDrift_2, which reproduce the conditions observed at the S17 site on 12th January 2019, 05:40 to 05:50 UTC.

en: Simulation data for a situation with significant snow transport

en: Data from two LES-LSM simulations called Drift_1 and Drift_2, which reproduce the conditions observed at the S17 site on 11th January 2019, 00:40 to 00:50 UTC.

en: Measurement data from micro-meteorological station

media_type: zip-compressed folder of ASCII files

en: Automatic in-situ measurements of micro-meteorology and snow transport

en: Readme

media_type: TXT

en: Meta data

en:
This dataset contains measurement and simulation data. The measurements characterize the standard meteorology, turbulence, and snow transport at the S17 site near Syowa Station in East Antarctica during an expedition in austral summer 2018/2019. Large-eddy simulations with sublimating particles provide additional insight into the latent and sensible heat exchange between snow and air in two example situations observed at the S17 site.

A part of the measurement data was recorded by an automatic measurement station from 10th January 2019 to 26th January 2019. This measurement station was equipped with standard meteorological sensors, a three-dimensional ultrasonic anemometer, an open-path infrared gas analyzer, a snow particle counter, an infrared radiometer for measurements of the surface temperature, and a sonic ranging sensor measuring changes in snow surface elevation.

At a horizontal distance of approximately 500 m, a Micro Rain Radar (MRR) was installed in a tilted configuration with an elevation angle of 7° for remote sensing of blowing snow between 25th December 2018 and 24th January 2019. In addition, near-surface in-situ measurements of snow transport were performed at the location of the MRR by deploying a snow particle counter from 27th December 2018 to 24th January 2019.

The simulations cover a 18 x 18 x 6 m³ domain and reproduce the steady-state conditions during a 10-min interval with significant snow transport and another 10-min interval with negligible snow transport. We provide the model source code and the post-processed simulation data, i.e., horizontally averaged quantities as a function of height and time.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

eddy-covariance-measurements

display_name: eddy-covariance-measurements

large-eddy-simulations

display_name: large-eddy-simulations

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

micro-rain-radar

display_name: micro-rain-radar

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: Meteorology and snow transport at S17 near Syowa, Antarctica, in austral summer 2018/2019


maintainer: Mahdi Jafari

en: vapor-transport numerical-simulation convection-in-snow openfoam snow-density-profile

en: snowpackBuoyantPimpleFoam

media_type: ZIP

en:
This zipped folder includes (1) the source code files, (2) an example case for simulation, and (3) an instruction how to compile and use the new solver.

Note that the most updated version of snowpackBuoyantPimpleFoam can be found in the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/snow-models/snowpackbuoyantpimplefoam

en: snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport

en: snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks


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

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: List of SnowMicroPen measurements

media_type: .txt

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: Documentation SnowMicroPen measurements

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).

media_type: ipynb

en: Jupyter notebook for processing the SnowMicroPen files.

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

media_type: py

en: Manual snow pits and other snow density measurements

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.

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snowmicropen

display_name: snowmicropen

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


en: hydrology climate-change discharge soil-moisture snowmelt precipitation

en: Daily simulated data for the reference period

en: Daily simulated discharge, precipitation, snowmelt, and soil moisture for the reference period 1981-2017 in mm.

en: Daily simulated data for the future period

en: Daily simulated discharge, precipitation, snowmelt, and soil moisture for the period 1981-2100 in mm for the 307 catchments.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of the 307 medium-sized catchments in Switzerland. The "gridcode" provides the ID of the catchment used in the datafiles.

en:
Daily discharge and the related hydro-meteorological variables precipitation, snowmelt, and soil moisture are provided for current (1981-2017) and for future climate conditions (1981-2100) for 307 medium-sized catchments in Switzerland. The catchments have a median catchment area of 117 km². The 307 catchments together form a set representative of the climatological conditions and runoff characteristics in Switzerland. The four variables were simulated at a daily resolution using the hydrological model PREVAH. PREVAH is a conceptual process-based model that was run in this study in its fully distributed version on a 500 m grid (Viviroli et al. 2009a). For the calibration, runoff time series from 140 mesoscale catchments covering the different runoff regimes were used. The model calibration was conducted over the period 1993-1997. Verification was performed on the period 1983-2005 using (i) volumetric deviation (Viviroli et al. 2007) and (ii) benchmark efficiency (Schäfli et al 2007) as objective functions. The calibration and validation procedures are described in detail in Köplin et al. (2010). The parameters for each model grid cell were derived by regionalizing the parameters obtained for the 140 catchments with a procedure based on ordinary kriging (Viviroli et al. 2009b, Köplin et al. 2010).
The calibrated and validated model was then driven with transient meteorological data (precipitation, temperature, radiation, and wind) representing both reference (1981-2017) and future climate conditions (2018-2099). The data were derived from the CH2018 climate scenarios (NCCS 2018) provided by the Swiss National Centre for Climate Services (NCCS). They were obtained from climate experiments produced with different climate modeling chains, consisting of a global and a regional circulation model each, within EUROCORDEX for three representative concentration pathways (RCP) emission scenarios. Downscaled output of ten climate model chains derived by quantile mapping were considered. The focus was on the chains of the EUR-11 domain with a horizontal resolution of 0.11 degrees (roughly 12.5 km). The climate model chains (GCM, RCM, RCP, and grid resolution) used are listed below:

- ICHEC-EC-EARTH	DMI-HIRHAM5	2.6	EUR-11
- ICHEC-EC-EARTH	DMI-HIRHAM5	4.5	EUR-11
- ICHEC-EC-EARTH	DMI-HIRHAM5	8.5	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	2.6	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	4.5	EUR-11
- ICHEC-EC-EARTH	SMHI-RCA4	8.5	EUR-11
- MOHC-HadGEM2-ES	SMHI-RCA4	4.5	EUR-11
- MOHC-HadGEM2-ES	SMHI-RCA4	8.5	EUR-11
- MPI-M-MPI-ESM-LR	SMHI-RCA4	4.5	EUR-11
- MPI-M-MPI-ESM-LR	SMHI-RCA4	8.5	EUR-11

*References*:

-	Köplin, N., D. Viviroli, B. Schädler, and R. Weingartner (2010), _How does climate change affect mesoscale catchments in Switzerland? - A framework for a comprehensive assessment_, Advances in Geosciences, 27, 111-119, doi:10.5194/adgeo-27-111-2010.
-	National Centre for Climate Services (2018), CH2018 - _Climate Scenarios for Switzerland_, Tech. rep., NCCS, Zurich.
-	Schäfli, B., and H. V. Gupta (2007), _Do Nash values have value?_, Hydrological Processes, 21, 2075-2080, doi:10.1002/hyp.6825.
-	Viviroli, D., J. Gurtz, and M. Zappa (2007), _The hydrological modelling system PREVAH. Part II - Physical model description_, Geographica Bernensia, 40, 1-89.
-	Viviroli, D., M. Zappa, J. Gurtz, and R. Weingartner (2009a), _An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools_, Environmental Modelling & Software, 24, 1209-1222, doi:10.1016/j.envsoft.2009.04.001.
-	Viviroli, D., H. Mittelbach, J. Gurtz, and R. Weingartner (2009b), _Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland-Part II: Parameter regionalisation and flood estimation results_, Journal of Hydrology, 377 (1), 208-225, doi:10.1016/j.jhydrol.2009.08.022.

climate-change

display_name: climate-change

discharge

display_name: discharge

hydrology

display_name: hydrology

precipitation

display_name: precipitation

snowmelt

display_name: snowmelt

soil-moisture

display_name: soil-moisture

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: Simulated future discharge and climatological variables for medium-sized catchments in Switzerland


en: review biogas manure switzerland bioenergy

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


en: statistical-model landscape-services land-use switzerland land-use-change urbanization modeling

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

urbanization

display_name: urbanization

en: Land use projections and services for Switzerland


maintainer: Maria Elvira Murazzi

en: 13c-labelling polystyrene nanoplastic forest-trees uptake

en: Nanoplastic in forests experiment

media_type: XLS

en:
Data embargoed until August 2022, and it will be provided upon request

-  excel file containing: two working sheets (leaf supply and root supply experiment) with a table with the values 13C-nanopolystyrene in the different tissues of the two forest tree species; graph showing the differences between controls and treatments of 13C-nanopolystyrene enrichment for each tissue of each forest tree species; ANOVA table showing significant values after having exposed the tree species to 13C-nanopolystyrene

format: XLS

en:
The fate of plastic in the environment is of global concern, because its production recently has
increased strongly and it accumulates in terrestrial and aquatic ecosystems. Although some knowledge on
its role in aquatic and terrestrial ecosystems was gained in the recent decade, hitherto very little is known
about the impact of micro and nanoplastics in forest ecosystems.

The aim of this pioneering project was to explore if nanoplastics are taken up by forest trees species
through leaves or roots. In greenhouse experiments, we exposed leaves or roots of seedling of two forest
trees species to solutions with highly 13C-labelled polystyrene nanoparticles (13C-nPS, 99 atom%) and
examined if they were incorporated in different above- and belowground tissues.

Treated part of the trees for both species showed significant 13C-enrichment, indicating that trees take up nanoparticles. However, the overall 13C signal strength in tissues that were not exposed to the 13C label remained low (Δδ13C<1‰) and was confined to a few seedlings, leaving it ambiguous whether nanoplastic transport occurs or not.

We acknowledge that the new method developed might be not sensitive enough to unequivocally detect
mechanisms of nanoplastic uptake and transport at environmentally realistic concentrations.

forest-trees

display_name: forest-trees

nanoplastic

display_name: nanoplastic

polystyrene

display_name: polystyrene

uptake

display_name: uptake

en: Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast)


maintainer: Esther R. Frei

en: swiss-alps forest climate-change treeline g-tree

media_type: text/plain

en: climate data G-TREE experiment, Davos, Switzerland

en: GTREE Website

en:
G-TREE is a global research network composed of 40 arctic and alpine researchers from around the world. This summer, our field experiment will be established at numerous sites across Canada, France, Norway, Spain, the United States, and Venezuela. Other sites are being developed in Russia, Scotland, and Sweden.

The Stillberg research area is located in the Eastern Swiss Alps near Davos, Switzerland. The site has been used for several long-term monitoring as well as experimental studies for the last four decades. Our G-TREE experiment consists of a lowest site located in a subalpine Larch-Spruce forest (Larici-Picetum) dominated by Larix decidua and Picea abies (1930 m a.s.l.), a transition zone site dominated by alpine shrubs (2100 m a.s.l.), and an uppermost site in an alpine meadow with some dwarf shrubs (2390 m a.s.l.).

climate-change

display_name: climate-change

forest

display_name: forest

g-tree

display_name: g-tree

swiss-alps

display_name: swiss-alps

treeline

display_name: treeline

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: G-TREE: Global Treeline Range Expansion Experiment Davos, Switzerland


en: alptal time-series switzerland groundwater studibach

en:
Groundwater time series of the monitoring network in the Studibach (C7) catchment, Alptal, Switzerland published in
Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

en: Groundwater time series between 2010 and 2014 of the distributed monitoring system in the Studibach (C7), Alptal, Switzerland. Data published in Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

alptal

display_name: alptal

groundwater

display_name: groundwater

studibach

display_name: studibach

time-series

display_name: time-series

en: Groundwater time series Studibach (Rinderer et al., 2019, WRR)


intratrait

maintainer: Christian Rixen

title_for_slug: intratrait

en: cold-adapted-plants neighbour-interactions plant-traits elevation-gradient elevation-range climate-change

media_type: R

media_type: CSV

en: Plant trait data along elevation gradients on mountains

en:
This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour.
The following traits and parameters were measured and are available in this data set:
As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil.
For more details see Rixen et al. 2022, Journal of Ecology.

cold-adapted-plants

display_name: cold-adapted-plants

elevation-gradient

display_name: elevation-gradient

elevation-range

display_name: elevation-range

neighbour-interactions

display_name: neighbour-interactions

plant-traits

display_name: plant-traits

en: intratrait


maintainer: Thomas Fricker

de: baueingabe bewilligungsverfahren

de: csv

media_type: text/csv

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (seit 1991) (csv)

license: CC BY 3.0 CH

de: json

media_type: application/json

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (seit 1991) (json)

format: JSON

mimetype: application/json

de: Bewilligte Gesuche, einschliesslich Nachtragsbewilligungen. Achtung: Die Daten können sich rückwirkend ändern! Die Gemeinde Liesberg wird aufgesplittet nach den beiden Ortschaften Liesberg und Liesberg Dorf ausgewiesen.

baueingabe

display_name: baueingabe

bewilligungsverfahren

display_name: bewilligungsverfahren

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

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

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

political_level: canton

value: BL - DCAT


en: avalanche-forecast snow-stability-evaluation snow avalanche snowpack

en: Manually observed snow profiles

media_type: application/zip

en: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

en: Extracted data

en: Extracted data contain validation and results published in Richter et al. (2019).

en: SNOWPACK simulations

en: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en: README

en: README file explaining data structure and content

en: Stability tests

en: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).

Please refer to the Readme file for further details on the data.

These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow

display_name: snow

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack

en: Validating and improving the critical crack length in SNOWPACK


en: wild-bee predictive-modelling urbanization elevation-gradient biodiversity beta-diversity climate anthophila hymenoptera resource-availability switzerland functional-diversity community-indices protected-areas

en: Predictors

media_type: .tiff

en:
The compress file includes the rster files of the predictors used in the analyses, including the climate, resource availability, land-use and beekeeping intensity metrics.

The raster on the climate contains the PCA axes on the CHELSA variables.
The raster on resource availability contains the PCA axes on plant communities
The raster on land-use contains the land-use composition at 2500 m.
The raster on beekeeping intensity contains thedensity of hives within 2500 m

en: Protected areas

en: Protected areas considered, divided in three groups and rasters: protected areas sensu stricto, protected areas sensu lato and all protected areas

en: Variable importance, model evaluation, partial dependence plots

en: The compress file containes a set of txt files with the variable importance, the model evaluation metrics and the partial dependence plots of each of the responses used (alpha and beta taxonomic and functional diversity metrics; community weighted means of 8 functional traits)

en: Taxonomic and functional metrics in the community plots

en:
Response data used for the modeling.
Lat: latitude community plot
Lon: longitude community plot
Richness: species richness
Shannon: Shannon diversity index
FDis: functional dispersion
TOP: Trait Onion Peeling (functional richness)
TED: Trait Even Distribution (functional evenness)
LCBD_taxo: local community contributions to taxonomic beta diversity
LCBD_fun: local community contributions to functional beta diversity
ITD: community weighted means inter-tegula distance
feeding_specialization: community weighted means feeding specialization
tong_length: community weighted means tongue length
phenostart: community weighted means start of the phenology
phenoduration: community weighted means duration of the phenoloy
cleptoparasite: community weighted means cleptoparasites
belowgound: community weighted means proportion belowground
solitary: community weighted means proportion solitary

en:
Raw data supporting the paper "Countrywide wild bee taxonomic and functional diversity reveal a spatial mismatch between alpha and beta-diversity facets across multiple ecological gradients". It contains taxonomic and functional metrics in 3343 community-plots distributed across Switzerland. The calculated metrics are:
- Alpha taxonomic community metrics: species richness and Shannon diversity
- Alpha functional community metrics: Functional richness (using the Trait Onion Peeling index, TOP), functional eveness (using the Trait Even Distribution index, TED) and the functional dispersion.
- Community weighted means of 8 functional traits
- The local community contributions on the functional and taxonomic beta diversity (LCBD).

The dataset also includes the following:
- The used predictors to model the spatial distribution of the community metrics (climate PCA, vegetation PCA, land-use metrics, beekeeping intensity).
-The three types of protected areas, defined according to the protective measures.
- The model evaluation, variable importance and partial dependece data.

anthophila

display_name: anthophila

beta-diversity

display_name: beta-diversity

biodiversity

display_name: biodiversity

climate

display_name: climate

community-indices

display_name: community-indices

functional-diversity

display_name: functional-diversity

hymenoptera

display_name: hymenoptera

predictive-modelling

display_name: predictive-modelling

protected-areas

display_name: protected-areas

resource-availability

display_name: resource-availability

switzerland

display_name: switzerland

urbanization

display_name: urbanization

wild-bee

display_name: wild-bee

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 on wild bee taxonomic and functional diversity in Switzerland


maintainer: Siegfried Heinzl

de: zimmerzahl wohnungen

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (seit 1994) (csv)

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (seit 1994) (json)

de: Fortschreibung des Wohnungsbestands (bis 2014), Gebäude- und Wohnungsstatistik (ab 2015)

wohnungen

display_name: wohnungen

zimmerzahl

display_name: zimmerzahl

construction

en: Construction and housing

kanton-basel-landschaft

en: Canton of Basel-Country

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


en: wind-speed anemometer wind-direction raclets wind wind-velocity

en: Sonic temperature

media_type: npy

en: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

en: Sonic time

en: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

en: Sonic wind component u

en:
The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component v

en:
The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component w

en:
The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s‾ ¹]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

anemometer

display_name: anemometer

raclets

display_name: raclets

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wind-velocity

display_name: wind-velocity

en: Snow Drift Station - 3D Ultrasonic


maintainer: Webteam der Landeskanzlei

de: shp

de: Adressen der Gemeindeverwaltungen (Mai 2023) (shp)

de: Adressen der Gemeindeverwaltungen (Mai 2023) (csv)

de: Adressen der Gemeindeverwaltungen (Mai 2023) (json)

de: geojson

de: Adressen der Gemeindeverwaltungen (Mai 2023) (geojson)

de: Liste der Gemeindeadressen

e-mail-adresse

display_name: e-mail-adresse

points-of-interest

display_name: points-of-interest

telefonnummer

display_name: telefonnummer

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione


fr: federal votation

de: national abstimmung

it: votazione nazionale

label: Descrizione del formato

label: Formatbeschreibung

label: Descripziun dal format

label: Description du format

identifier: json

identifier: csv

rm: Resultats finals da la votaziun federala "Volksinitiative «Für krisensicheres Geld: Geldschöpfung allein durch die Nationalbank! (Vollgeld-Initiative)»", 10 da zercladur 2018, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative «Für krisensicheres Geld: Geldschöpfung allein durch die Nationalbank! (Vollgeld-Initiative)»", 10 juin 2018, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative «Für krisensicheres Geld: Geldschöpfung allein durch die Nationalbank! (Vollgeld-Initiative)»", 10. Juni 2018, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative «Für krisensicheres Geld: Geldschöpfung allein durch die Nationalbank! (Vollgeld-Initiative)»", 10 giugno 2018, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

value: BL - Abstimmungen


waldbrandgefahr

title_for_slug: waldbrandgefahr

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

format: SPARQL

mimetype: application/sparql-query

media_type: text/html

format: HTML

mimetype: text/html

fr: L'alerte au danger d'incendie de forêt de l'OFEV contient le danger général quotidien d'incendie de forêt sur la base des données météorologiques et des indices d'incendie de forêt qui en découlent.

de: Die BAFU Waldbrandgefahrenwarnung enthält die täglich generelle Waldbrandgefahr auf Basis von meteorologischen Daten und den daraus abgeleiteten Waldbrandindizes.

en: The FOEN's forest fire danger warning contains the general daily forest fire danger based on meteorological data and the resulting forest fire indices.

it: L'alerta di pericolo di incendio boschivo dell'UFAM contiene il pericolo generale giornaliero di incendio di boschi basato sui dati meteorologici e gli indici di incendio di boschi risultanti.

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

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: Danger d'incendie de forêt

de: Waldbrandgefahr

en: Forest fire danger

it: Pericolo di incendio di boschi


zivilschutzregionen

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

public-order

fr: Ordre et sécurité publics

de: Öffentliche Ordnung und Sicherheit

en: Public order and security

it: Ordine pubblico e sicurezza pubblica

title_for_slug: zivilschutzregionen

fr: geodonnees protection-civile

de: geodaten zivilschutz

en: geodata civilian-protection

it: geodati protezione-civile

label: Geobasisdatenkatalog

label: ThurGIS Shop

label: Open Government Data

label: geocat.ch permalink

spatial: Kanton Thurgau (TG)

de: Zivilschutzregionen

format: WMS

format: WFS

de: Einteilung der Zivilschutzregionen des Kantons Thurgau

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

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

value: TG-Kt - Geocat Harvester


waldreservate-kommunal

title_for_slug: waldreservate-kommunal

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

de: geodaten reservat waldschutz wald landschaftsschutz landschaftsschutz naturschutz waldschutzgebiet forstwirtschaft

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

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

de: Waldreservate (kommunal)

de: Schutzplan und Waldzieltypenplan im Massstab 1:5000. Definiert den Perimeter des kommunalen Schutzgebietes und legt die waldbauliche Behandlung der Teilflächen fest. Rechtlich gesichert mit der Schutzanordnung. Vorerst ist nur der Perimeter digital erfasst.


de: national abstimmung

rm: Resultats finals da la votaziun federala "Volksinitiative vom 12. Juli 2011 "Familieninitiative: Steuerabzüge auch für Eltern, die ihre Kinder selber betreuen"", 24 da november 2013, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 12. Juli 2011 "Familieninitiative: Steuerabzüge auch für Eltern, die ihre Kinder selber betreuen"", 24 novembre 2013, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 12. Juli 2011 "Familieninitiative: Steuerabzüge auch für Eltern, die ihre Kinder selber betreuen"", 24. November 2013, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 12. Juli 2011 "Familieninitiative: Steuerabzüge auch für Eltern, die ihre Kinder selber betreuen"", 24 novembre 2013, Kanton Basel-Landschaft, suddivisi per municipalit.

politics

de: Politik

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

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/


okomorphologie-stehende-gewasser

territory

de: Raum und Umwelt

title_for_slug: okomorphologie-stehende-gewasser

fr: geodonnees lac eaux-geographie

de: geodaten see gewasser

en: geodata lake water-geographic

it: geodati lago acque-geografia

de: Ökomorphologie

de: Ökomorphologie Ober- und Untersee: Der Datensatz beinhaltet die Ökomorphologie des Ober- und Untersees. Die Bewertung erfolgte nach der Methode der Internationalen Gewässerschutzkommission für den Bodensee (IGKB). Ökomorphologie Kleinseen: Der Datensatz beinhaltet die Ökomorphologie von dreizehn Kleinseen. Die Bewertung erfolgte nach der Methode des Bundesamts für Umwelt (BAFU). Es werden die vier Uferkompartimente Flachwasserzone, Uferlinie, Ufersteifen und Hinterlandstreifen bewertet. Diese vier Uferkompartimente werden zu einer Gesamtbeurteilung aggregiert.

de: Ökomorphologie stehende Gewässer


vogelreservate

geography

de: Geographie

title_for_slug: vogelreservate

fr: geodonnees chasse oiseau-migrateur avifaune-aquatique reserve-de-chasse

de: geodaten jagd zugvogel wasservogel jagdreservat

en: geodata hunting migratory-bird waterfowl hunting-reserve

it: geodati caccia uccello-migratore avifauna-acquatica riserva-di-caccia

de: Jagdreviere

de: Grenzen der Vogelreservate im Thurgau, inklusive der Adressen der Aufseher

de: Vogelreservate


okomorphologie-fliessgewasser

title_for_slug: okomorphologie-fliessgewasser

fr: geodonnees eau-courante eaux-geographie

de: geodaten fliessgewasser gewasser

en: geodata flowing-water water-geographic

it: geodati acque-lotiche acque-geografia

de: Der Datensatz beinhaltet die Ökomorphologie der Fliessgewässer. Die Bewertung umfasst Abschnitte, Abstürze und Bauwerke.

kanton-thurgau

de: Kanton Thurgau

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

de: Ökomorphologie Fliessgewässer


waldentwicklungsplan-wep

agriculture

de: Land- und Forstwirtschaft

title_for_slug: waldentwicklungsplan-wep

fr: geodonnees biodiversite-forestiere groupement-forestier bois risque-naturel sylviculture recreation

de: geodaten biodiversitat-im-wald forstbetriebsgemeinschaft wald naturgefahr forstwirtschaft erholung

en: geodata forest-biodiversity forestry-unit wood natural-hazard forestry recreation

it: geodati biodiversita-forestale unita-forestale bosco pericoli-naturali forestazione ricreazione

de: waldentwicklungsplan

de: Der Waldentwicklungsplan ist ein forstliches Planungsinstrument auf überbetrieblicher Ebene. Zum Waldentwicklungsplan gehört die Karte der Waldfunktionen, der Textteil und einige Zusatzkarten.

de: Waldentwicklungsplan (WEP)


waldreservate-kantonal

territory

de: Raum und Umwelt

title_for_slug: waldreservate-kantonal

de: geodaten reservat waldschutz wald landschaftsschutz landschaftsschutz naturschutz waldschutzgebiet forstwirtschaft

de: Waldreservate (kantonal)

de: Schutzplan und Waldzieltypenplan im Massstab 1:5000. Definiert den Perimeter des kantonalen Schutzgebietes und legt die waldbauliche Behandlung der Teilflächen fest. Rechtlich gesichert mit der Schutzanordnung.


wanderwege

geography

de: Geographie

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

title_for_slug: wanderwege

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

de: geodaten wanderweg individualverkehr verkehr

en: geodata hiking-trail private-transport transport

it: geodati sentiero-escursionistico trasporto-privato trasporti

de: Wanderweg

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

de: Wanderwege


territory

fr: Territoire et environnement

en: Territory and environment

label: Les services sont exposés au travers de l'API REST d'ArcGIS Server. Interfaces supportées : REST - SOAP - WMS - WFS

label: "Lien vers le géoportail SITG pour prévisualisation de la donnée"

spatial: Genève

fr: SERVICE DE TELECHARGEMENT

de: SERVICE DE TELECHARGEMENT

en: SERVICE DE TELECHARGEMENT

it: SERVICE DE TELECHARGEMENT

fr: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: Par inondation, on entend le débordement d'un cours d'eau hors de son lit. Le caractère plus ou moins dangereux des inondations dépend de la hauteur d'eau et de la force du courant atteinte, ainsi que de la quantité de matériaux charriés. La détermination des zones d'inondation se fait par rapport à la topographie. Pour certaines zones, l'apparition d'inondations dépend de conditions particulières concomitantes au déroulement de l'évènement de crue, comme: les embâcles sous les ponts et passerelles, la rupture d'un ouvrage de protection ou les courbes de remous aux points de confluence des cours d'eau ou du lac. Les périodes de retour pour lesquelles les zones d'inondation ont été déterminées sont de 30, 100 et 300 ans et pour certains cours d'eau 2 et 10 ans. Les zones d'inondation conditionnelle sont représentatives des conditions particulières décrites ci-dessus.

fr: SITG - Système d'information du territoire à Genève

de: SITG - Genfer Geoinformationssystem

en: SITG - The territorial information system of Geneva

it: SITG - Sistema informativo territoriale di Ginevra

fr: Le Système d’Information du Territoire à Genève (SITG) est un organisme fondé sur un réseau de partenaires publics ayant pour but de coordonner, centraliser et diffuser les géodonnées relatives au territoire genevois, produites dans le cadre de leurs missions.

de: Das Genfer Geoinformationssystem (SITG) ist eine Organisation zur Koordination, Zentralisierung und Bereitstellung sämtlicher Geodaten, die durch verschiedene öffentliche Einrichtungen im Rahmen ihrer Missionen produziert werden.

en: The territorial information system of Geneva (SITG) is an organization based on a network of public partners aiming to coordinate, centralize and distribute the geodata of the territory of Geneva.

it: Il Sistema Informativo Territoriale di Ginevra (SITG) è un'organizzazione basata su una rete di partner pubblici con lo scopo di coordinare, centralizzare e pubblicare i dati spaziale del territorio di Ginevra, prodotti come parte delle loro missioni.

value: SITG - Geocat Harvester

fr: INONDATION TEMPS DE RETOUR 10 ANS

de: INONDATION TEMPS DE RETOUR 10 ANS

en: INONDATION TEMPS DE RETOUR 10 ANS

it: INONDATION TEMPS DE RETOUR 10 ANS


batiments-projetes

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

geography

fr: Géographie

en: Geography

it: Territorio e ambiente

title_for_slug: batiments-projetes

de: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: Les bâtiments projetés représentent l'assiette des futures constructions ou transformations pour lesquelles une autorisation de construire à été délivrée. Après construction et dépôt du dossier de cadastration ces objets sont archivés (voir couche "Historique des bâtiments hors-sol et sous-sol" attribut TYPE_ORIGINE Projet).

name: Direction de l'information du territoire

fr: BATIMENTS PROJETES

de: BATIMENTS PROJETES

en: BATIMENTS PROJETES

it: BATIMENTS PROJETES


imad-perimetre-des-equipes

geography

it: Geografia

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

title_for_slug: imad-perimetre-des-equipes

en: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: En lien avec la couche IMAD_BASES_EQUIPES, cette dernière représente la portion territoriale couverte par chacune des équipes (EMD) oeuvrant pour le maintien à domicile du canton. Le regroupement de plusieurs équipes (EMD) forme le secteur d'activité d'une antenne de maintien à domicile (AMD).

name: Institution de maintien, d'aide et de soins à domicile (IMAD)

fr: IMAD - PERIMETRE DES EQUIPES

de: IMAD - PERIMETRE DES EQUIPES

en: IMAD - PERIMETRE DES EQUIPES

it: IMAD - PERIMETRE DES EQUIPES


territory

de: Raum und Umwelt

it: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: Les données montrent le champ de vent dans le canton de Genève qui a été modélisé avec le modèle climatique urbain FITNAH-3D. Les résultats sont basés sur une résolution spatiale horizontale de 10 m et sur une situation météorologique estivale autochtone (condition météorologique de rayonnement à vent faible). Ils sont valables pour la zone de résidence humaine à 2 m du sol et représentent la situation de nuit à 4:00 heures (refroidissement maximal). Le paramètre climatique est considéré à la fois dans sa caractéristique actuelle et future (y compris le changement climatique et le développement futur). Les augmentations de température supposées pour les périodes futures se réfèrent aux résultats des scénarios climatiques pour la Suisse (CH2018). Les hausses de température correspondent au signal de changement estival moyen du scénario RCP 8.5 pour l'Ouest de la Suisse. Attention: la direction correspond à la direction géographique, pas météorologique! (par exemple dans ce cas 0° correspond à un vent du sud vers le nord) Période climatique: P2: période future 2045-2074 ("2060") -> + 2,6 °C par rapport à P0 Scénario de développement: P1, P2 et P3: occupation des sols avec les projets qui devraient être réalisés d'ici 2035 Pour les zones hors canton, les données de base relatives à la couverture du sol ont une précision inférieure à Genève. Les arbres isolés et les surfaces d'imperméabilisation autour des bâtiments, deux facteurs qui influencent les paramètres climatiques, n'ont pas pu être intégrés au modèle d'analyse. Il s'agit dès lors de considérer les données hors canton avec prudence. Rappel : conformément aux CGU, les informations relatives à l'analyse climatique sont sans valeur juridique.

name: Service cantonal du développement durable

fr: ANALYSE CLIMATIQUE 2020 - VITESSE ET DIRECTION DU VENT NOCTURNE, RESOLUTION 10M, 2045-2074


culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

fr: Localisation des sites regroupant les emplacements destinés à l'installation ponctuelle de stands à caractère politique, syndical et d'information sur le domaine public de la Ville de Genève.

fr: VILLE GE - SITES DESTINES AUX STANDS POLITIQUES, SYNDICAUX ET D'INFORMATION


signalisation-lumineuse-boites-a-feux

geography

de: Geographie

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

title_for_slug: signalisation-lumineuse-boites-a-feux

fr: SERVICE DE TELECHARGEMENT

fr: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: Une nouvelle série de couche en lien avec la gestion du trafic est mise à disposition par l'Office cantonal des transports Cet ensemble de couche sert à la gestion de tous les équipements des carrefours à feux qui régulent le trafic des véhicules privés et des transports collectifs, mais également les piétons et les cyclistes. Quelques chiffres pour illustrer ces données : plus de 9000 boîtes à feux tout confondu pour les voitures, piétons, cyclistes, bus ou trams, 2180 détecteurs (boutons poussoirs piéton / cycliste ou détecteurs vidéo), 3392 mâts pour maintenir le tout ! Sur un total de 359 armoires qui commande 454 carrefours, ainsi que 164 installations avec des feux clignotants pour les piétons. Ces données servent à l'inventaire, à l'entretien et au dépannage de ces équipements. Ils servent également à prévoir et étudier toutes les modifications apportées régulièrement à ces carrefours. Cette couche représente les boîtes à feux de manière symbologique. Chaque équipement est représenté de manière explicite. La position des objets est faite en fonction des éléments bâtis pour une représentation lisible des équipements d'un carrefour.

fr: SIGNALISATION LUMINEUSE - BOITES A FEUX

de: SIGNALISATION LUMINEUSE - BOITES A FEUX

en: SIGNALISATION LUMINEUSE - BOITES A FEUX

it: SIGNALISATION LUMINEUSE - BOITES A FEUX


geography

fr: Géographie

territory

fr: Territoire et environnement

fr: Les agglomérations ont été définies en 2012 par l'Office fédéral de la statistique (OFS) à partir des données 2012 en fonction de critères statistiques, afin de permettre la comparaison spatiale entre des espaces urbains. La méthode permettant la définition des agglomérations consiste en une procédure en plusieurs étapes : tout d'abord, la densité de la population, des emplois et des nuitées hôtelières est déterminée dans chaque cellule d'une trame régulière placée sur le territoire suisse afin d'identifier des centres d'agglomération potentiels. L'utilisation d'une trame régulière permet de limiter au maximum l'influence des frontières institutionnelles historiques. Les couronnes d'agglomération potentielles sont ensuite déterminées d'après l'intensité des flux pendulaires vers les centres. Enfin, chaque ensemble formé d'un centre et d'une couronne d'agglomération doit avoir un nombre minimum d'habitants et de nuitées hôtelières pour pouvoir être qualifié d'agglomération. La délimitation des agglomérations par l'Office fédéral de la statistique n'a pas de portée juridique. Cette classe d'entités est créée à partir de la classe d'entités "AGGLO_COMMUNES", par fusion des "Codes agglomération OFS". Les deux représentations ("Agglomération statistiqueOFS" et "Catégorie commune OFS") ne doivent pas être utilisées séparément.

fr: SITG - Système d'information du territoire à Genève

fr: Le Système d’Information du Territoire à Genève (SITG) est un organisme fondé sur un réseau de partenaires publics ayant pour but de coordonner, centraliser et diffuser les géodonnées relatives au territoire genevois, produites dans le cadre de leurs missions.

fr: AGGLO - PERIMETRES D'AGGLOMERATION OFS EN 2012


agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

fr: Les infrastructures en forêt sont de deux ordres: Les infrastructures d'accueil: - abri accessible au public - place de pique-nique avec barbecue et WC - place de pique-nique avec barbecue sans WC - ouvrage d'observation - parking - centre aéré fixe Les infrastructures de gestion: - hangars de transformation - stockage du bois énergie

name: Office cantonal de l'agriculture et de la nature

fr: PLAN DIRECTEUR FORESTIER - INFRASTRUCTURES EN FORET


construction

fr: Construction, logement

fr: La mise en oeuvre d'une gestion intégrée des eaux au niveau cantonal se base sur quatre outils de planification, tous validés par le Conseil d'État : - Les schémas de protection, d'aménagement et de gestion des eaux ; - La planification stratégique 2030 en matière de renaturation ; - Les plans régionaux d'évacuation des eaux (PREE) ; - Les plans généraux d'évacuation des eaux (PGEE). 32 plans de planification sont réalisés au total, soit 6 SPAGE, 1 planification stratégique, 6 PREE et 19 PGEE. Ces outils de planification se concrétisent par des plans d'actions. Chaque action planifiée fait l'objet d'une fiche présentant toutes les informations nécessaires à sa réalisation (description, responsabilité, coût, délai de réalisation, …). Seules les actions validées se retrouvent dans cette couche. Pour des actions liées à des planifications en cours, prière de contacter l'office cantonal de l'eau.

fr: ACTIONS DES PLANIFICATIONS DE L'OFFICE CANTONAL DE L'EAU


fr: Schéma d'agglomération de 3ème génération (2016) Les pôles d'activités , actuels ou à développer, accueillent une part importante des activités économiques et contribuent à favoriser la multipolarisation de l'agglomération transfrontalière. - Les pôles d'activités métropolitains, accueillant des activités de rayonnement international, jouent un rôle fondamental en matière de visibilité mondiale et de compétitivité de l'agglomération franco-valdo-genevoise; - Les pôles d'activités d'agglomération, présentant des profils économiques différenciés, concentrent les efforts de promotion économique et contribuent à la structuration de l'agglomération centrale et au renforcement des agglomérations régionales.

fr: POLES D'ACTIVITES SCHEMA D'AGGLOMERATION 3


pr-grand-geneve

mobility

fr: Mobilité et transports

en: Mobility and Transport

it: Mobilità e trasporti

title_for_slug: pr-grand-geneve

fr: SERVICE DE TELECHARGEMENT

fr: Les données vectorielles sont disponibles sous forme de fichiers.zip, incluant la donnée dans le format choisi, sa fiche de métadonnée (.pdf) ainsi que les conditions générales d'utilisation (.pdf). Sauf exception, les formats suivant sont proposés: SHAPE (ESRI) - Geodatabase-File (ESRI) - GML - KML - CSV

fr: Inventaire des parking-relais existants et des projets (ou intentions) sur le territoire du Grand-Genève.

fr: P+R GRAND-GENEVE

de: P+R GRAND-GENEVE

en: P+R GRAND-GENEVE

it: P+R GRAND-GENEVE


ouvrages-de-franchissement

geography

fr: Géographie

territory

fr: Territoire et environnement

en: Territory and environment

title_for_slug: ouvrages-de-franchissement

de: SERVICE DE TELECHARGEMENT

it: SERVICE DE TELECHARGEMENT

fr: Cette couche recense les ouvrages de franchissement au-dessus des cours d'eau, tels que ponts, passerelles ou voûtages. Aux informations générales de génie civil s'ajoute une évaluation de l'impact écologique de l'ouvrage sur l'environnement. En général une photo illustre l'ouvrage.

fr: OUVRAGES DE FRANCHISSEMENT

de: OUVRAGES DE FRANCHISSEMENT

en: OUVRAGES DE FRANCHISSEMENT

it: OUVRAGES DE FRANCHISSEMENT