en: ecology historical-carthography switzerland wetlands environmental---history environmental--policy

en: Wetlands 1850 - 2010 (shapefiles)

en:
 History of wetlands - GIS-Layers
 Location of wetlands based on signatures in topographic maps
* Basis 1850: original measuring table sheets Dufour created between the years 1834 and 1863.
* Basis 1900/ Basis 1950: The Siegfried maps were updated and published at regular intervals between 1870 and 1949. This long period of time made it possible to reconstruct wetlands for two periods based on the Siegfried Maps: the first edition (hereinafter referred to as "1900") and the last edition ("1950").
* Basis 2010: Map sheets from the National Map from 2006 to 2011 were used for the most recent time period of the reconstruction.
 Location of wetlands due to reconstructions
The reconstruction **must not** be interpreted in the sense of a surface-accurate separation, but shows without claim to location accuracy the approximate extent of the areas that would have corresponded to the mapping criteria for wetlands used in today's topographic maps around 1850, 1900 and 1950. The basics can be found in Stuber & Bürgi 2019, chapter 5.4.

en:
Naturally, large parts of the Swiss Plateau are characterised by wetlands
and meandering rivers. That this is no longer the case today is the result
of centuries of efforts to obtain dry land. But how did this process take
place? What were the relevant actors and what were their motivations? And
what can be said about the ecological consequences of this development?

In a research project on the history of wetlands in Switzerland since 1700,
we conducted (a) a historical analysis of the development of land use in
wetlands and the actors involved, (b) a historical-cartographic
reconstruction of wetland extent since 1850 and (c) an evaluation of
ecological effects of changes in wetlands on various organisms groups.

The series of GIS layers on wetland history stem from the second part of
the project. The area reconstruction is based on digitized and homogenized
signatures from national map series, as they have been available since
about 1850. Details about the digitalization process and the homogenization
procedures applied ("Rekonstruktionen") are included in Stuber & Bürgi
2019.

Book Citation:
 > Stuber M, Bürgi M (2019) Vom «eroberten Land» zum Renaturierungsprojekt. Geschichte der Feuchtgebiete in der Schweiz seit 1700. "Bristol Schriftenreihe", Band 59. Haupt Verlag, Bern, Stuttgart, Wien. 262 Seiten.

ecology

display_name: ecology

environmental---history

display_name: environmental---history

environmental--policy

display_name: environmental--policy

historical-carthography

display_name: historical-carthography

wetlands

display_name: wetlands

en: History of wetlands in Switzerland since 1850


en: water-isotopes forest-ecosystems soil-solution xylem-water water-budget

state: active

type: dataset

en: Water isotope signatures and gravimetric water content of xylem samples.

format: XLS

media_type: image/png

en: Overview of most xylem water isotopic signatures.

format: PNG

en: Water isotope signatures of soil solution samples.

en: Water isotope signatures and gravimetric water content of bulk soil samples.

en: Overview of most soil solution water isotopic signatures.

en: Overview of most bulk soil water isotopic signatures.

en: Overview of most deposition water isotopic signatures.

en: Water isotopic signature of deposition samples.

en: Column descriptions for soil solution, deposition, xylem and bulk soil samples.

en:
The isotope composition of different forest water pools was analyzed at 10 sites of the Long-term Forest Ecosystem Research programme in 2021 and 2022. The sampling was done during the vegetation season and included fortnightly xylem water samples taken by stem increment cores and each year 3 bulk soil water sampling campaigns (in April, June, September of 2021 and 2022). Both sample types were cryogenically extracted at WSL and analyzed on a Picarro 2140 with Micro-Combustion-Module. Gravimetric water content in both sample types was computed based on pre-and post-extraction weights. In addition to xylem and bulk soil waters, we analyzed the isotope composition of soil solution from a suction cup lysimeters in three soil depths 0, 15, 50, 80 cm and precipitation from samplers below the canopy and outside of the forest, all collected fortnightly from collection periods of varying length (longest from 2017-2022).
Precipitation samples are further described [here](https://www.doi.org/10.16904/envidat.lwf.15). Lysimeter samples are described further [here](https://www.doi.org/10.16904/envidat.lwf.28).

forest-ecosystems

display_name: forest-ecosystems

soil-solution

display_name: soil-solution

water-budget

display_name: water-budget

water-isotopes

display_name: water-isotopes

xylem-water

display_name: xylem-water

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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: Water isotope signatures in Swiss forest ecosystems in 2021 and 2022


maintainer: Anita C. Risch

en: non-native-plant herbivory grassland native-plant weed-management

en: Correction: Data file native and non-native plant interactions in Australian grasslands

en:
taxa tab:	list and overview of all the recorded species

* family:                 family of the plant

* genus:                genus of the plant

* species:                plant species name

* origin:                indicates whether the plant is native to Australia or not (non-native)

* common name:	        common name of the plant species

* functional group:	        functional group of the plant species: forb, graminoid, fern, tree

* functional group detailed:	gives more detail about the type of graminoid and forb: legume, forb (non-leguminous),
                        grass, sedge, rush, fern, tree

* lifeform:                annual or perennial lifeform (species which can have both of these lifeforms where
                        considered as annuals)

plot tab:	list of species found in each plot and their cover (%)

* sampling.session:        provides information about the sampling time:
                        May2020 = data that was collected in May 2020
                        Nov2020 = data that was collected in November 2020

* farm.name:	            name of the farms where the sampling took place:
                        SF = farm of the Southern group
                        NF = farm of the Northern group
                        numbers 1-3 = randomly allocated to the Southern group of farms
                        numbers 4-6 = randomly allocated to the Northern group of farms

* site.type:	                KG: Kangaroo grass dominated site
                        ALG: ALG+KG site (Kangarooo grass and African lovegrass co-dominated site)

* plot.no:                plot number: 9-12

* scientific.name:	        scientific name of the plant species found in a certain plot

* functional group:	        indicates whether the species found is a tree, forb, graminoid or fern

* functional group detailed:	indicates whether the species found is a tree, legume, forb (non-leguminous),
                        grass, sedge, rush, fern

* lifeform:                specifies the lifeform of the species: annual or perennial lifeform
                        (species which can have both of these lifeforms where considered as annuals)

corrections tab:	Detailed description of corrections made in plot.data tab

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

Paper Citation:

_Schlierenzauer, C., Risch, A.C., Schütz, M., Firn, J. 2021. Non-native Eragrostis curvula reduces plant species diversity in pastures of South-eastern Australia even when native Themeda triandra remains co-dominant. Plants 10, 596._

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

Study area
The study was conducted in the lowland grassy woodlands of the Bega Valley Region, which is located in the south-east corner of New South Wales, Australia. Embedded between the Pacific Ocean and the Australian Alps, the lowland grassy woodlands are mostly located on granitic substrates and reach elevations of roughly 500 m above sea level. Typically, these grassy woodlands receive less precipitation (mean annual precipitation between 700-1100 mm) compared to the more elevated areas that surround them (NSW Government - Office of Environment and Heritage 2017).
The vegetation is dominated by an open tree canopy layer consisting of Eucalyptus tereticornis Sm, Angophora floribunda Sm. (Sweet) and a range of other eucalypt species. Sometimes shrub or small trees are also present, whereas grasses and forbs form the ground-cover. In areas without intensive agricultural history, this layer is dominated by perennial, tussock grasses such as Themeda triandra Forssk, Microlaena stipoides R.Br (Weeping Grass), Eragrostis leptostachya Steud. (Paddock Lovegrass) and Echinopogon ovatus P.Beauv (Forest Hedgehog Grass). The remaining inter-tussock spaces are occupied by a diversity of growth-restricted grasses and herbaceous forbs (NSW - Department of Planing, Industries and Environment 2019; NSW Government - Office of Environment and Heritage 2017).
Clearing, pasture sowing, fertilizer application and livestock grazing resulted in a dramatic decrease in the extent of these natural woodlands, with less than five percent within conservation reserves and overall, with only about 20% of their original extent in New South Wales still existing (Tozer et al. 2010). The remaining areas outside of reserves are threatened by altered fire frequencies, habitat clearing, livestock grazing and especially by non-native plant invasion, particularly Eragrostis curvula (Schrad.) Nees. For this reason, the grassy woodlands are listed as an endangered ecological community in the NSW state legislation. Additionally, they are considered as critically endangered by the Commonwealth of Australia (Threatened Species Scientific Committee (TSSC) 2013).

Experimental design and sampling
The study was conducted on six farms and in each of them two sites were chosen, representing a paired design. One of the sites at each farm is dominated by native Themeda triandra, the other one co-dominated by non-native Eragrostis curvula and Themeda triandra. All farms are within a radius of approximately 10 km from the town Candelo. Three of the farms are located North (36°40’ to 36°42’ S and 149°38’ to 149°42’ E) and three of them are located South (36°51’ to 36°49’ S and 149°38’ to 149°42’ E) of Candelo.
Non-native herbivores (mainly cattle, sheep and rabbits) and native herbivorous marsupials (mainly kangaroos, wallabies and wombats) are present in the area of these sites. On each site, data was collected within four plots (each 1 x 1 m) in May and November 2020. All plant species found within a plot were recorded and their relative abundance was estimated.

References
NSW - Department of Planing, Industries and Environment. 2019. “Lowland Grassy Woodland in the South East Corner Bioregion - Endangered Ecological Community Listing.” https://www.environment.nsw.gov.au/topics/animals-and-plants/threatened-species/nsw-threatened-species-scientific-committee/determinations/final-determinations/2004-2007/lowland-grassy-woodland-south-east-corner-bioregion-endangered-ecological-community-l (February 18, 2021).
NSW Government - Office of Environment and Heritage. 2017. “Lowland Grassy Woodland in the South East Corner Bioregion - Profile.” https://www.environment.nsw.gov.au/threatenedSpeciesApp/profile.aspx?id=20070 (January 31, 2021).
Threatened Species Scientific Committee (TSSC). 2013. Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) Conservation Advice for Lowland Grassy Woodland in the South East Corner Bioregion. http://www.environment.gov.au/biodiversity/threatened/communities/pubs/82-conservation-advice.pdf.
Tozer, Mark et al. 2010. “Native Vegetation of Southeast NSW: A Revised Classification and Map for the Coast and Eastern Tablelands.” Cunninghamia : a journal of plant ecology for eastern Australia 11(3): 359–406.

grassland

display_name: grassland

herbivory

display_name: herbivory

native-plant

display_name: native-plant

non-native-plant

display_name: non-native-plant

weed-management

display_name: weed-management

en: Native and no-native plant interactions in Australian grasslands


maintainer: Mathias Bavay

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

media_type: application/zip

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

format: ZIP

en: The Davos Stillberg meteorological data (Stillberg_meteo_v2.0.zip) consists of timeseries from five meteorological stations operated at the Stillberg treeline ecological resea...

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

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

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

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

air-pressure

display_name: air-pressure

air-temperature

display_name: air-temperature

dew-point-temperature

display_name: dew-point-temperature

precipitation-sum

display_name: precipitation-sum

relative-humidity

display_name: relative-humidity

shortwave-radiation

display_name: shortwave-radiation

snow-depth

display_name: snow-depth

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

treeline

display_name: treeline

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

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


en: spatial-modelling avalanche-forecast avalanche-release-probability machine-learning forecast-models

en: GPS data and human-triggered avalanches

en: Contains (1) the subset of points extracted from GPS tracks recorded during backcountry touring and uploaded to the website skitourenguru.ch and (2) the corresponding subset of human-triggered avalanches. Data (1) was provided by Skitourenguru GmbH and data (2) was collected by SLF. - Variables contained are date, Swiss coordinates (x, y), aspect (N = 0, NE = 45, ...), elevation (ele), and event (event = 1, non-event = 0).

en: Natural avalanches 2023/2024

en: Natural avalanche observation (dry avalanches). 2023/2024 forecasting season.

en: Snowline estimates 2022/2023

en: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2022/2023 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

en: Human-triggered avalanches 2023/2024

en: The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)

en: Natural avalanches 2022/2023

en: Natural avalanche observation (dry avalanches). 2022-2023 forecasting season.

en: Model predictions (raw data)

en: Model predictions (raw data) for three models, in nowcast and forecast mode. Not all models are available for both seasons. - These data are the basis for the interpolated predictions, which can be found in the other zip-folder

en: Snowline estimates 2023/2024

en: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2023/2024 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

en: Human-triggered avalanches 2022/2023

en: Model predictions (interpolated)

en: The zip file contains csv-files the interpolated model predictions for three models, in forecast and nowcast-mode, for the three different data sets, as described in the publication.

en: Avalanche forecast

en: Data contains forecasts relating to dry-snow avalanche conditions only. Forecast issued at 17.00 local time. Contains variables for the warning region (sector_id), publication date (date), danger level - sub-level combination expressed using numeric values (integer value of danger level -0.33 for sub-level minus, -0 for sub-level neutral, +0.33 for sub-level plus, altitude as indicated in the bulletin, and whether aspect (North = 0, Northeast = 45, ...) was indicated in the bulletin (no: 0, yes: 1).

en: Randomly sampled subset of grid points from 1 km DEM

en: Contains the randomly sampled subset of grid points from 1 km DEM. Three variables: coordinates (x, y) and elevation (elev).

en:
This data set was used in the analysis by Techel et al. *Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions*, submitted to *Natural Hazards Earth System Sciences* on 20 Aug 2024.
The repository contains data from two avalanche forecasting seasons (2022/2023, 2023/2024) in Switzerland.
**Interpolated predictions**
- The .zip file contains the interpolated predictions for the three models in nowcast- and forecast- mode. This data is needed to reproduce the figures and tables in the submitted preprint.
The other data are the **raw data** underlying the interpolations:
- Avalanche forecast by WSL Institute for Snow and Avalanche Research SLF, published at 17.00 local time, valid for the following 24 hours and relating to dry snow avalanche conditions.
- Model predictions in *nowcast*- and *forecast*-mode for three models (*danger level*, *instability*, *natural avalanche*), valid for 12.00 local time
- Subset of points extracted from GPS tracks (courtesy of Skitourenguru GmbH)
- Avalanche observations - natural avalanches and human-triggered avalanches
- Estimates of the snowline
- Randomly chosen subset of grid points used for generating reference distributions
For details regarding the data sets refer to the publication.

avalanche-forecast

display_name: avalanche-forecast

avalanche-release-probability

display_name: avalanche-release-probability

forecast-models

display_name: forecast-models

machine-learning

display_name: machine-learning

spatial-modelling

display_name: spatial-modelling

en: Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland


maintainer: EnviDat Support

en: terrestrial-laser-scanning mobile-laser-scanning 3d-point-cloud structure-from-motion forest-inventory lidar terrestrial-photogrammetry unmanned-aerial-vehicle-laser-scanning

en:
Close Range Remote Sensing Benchmark for different LiDAR and photogrammetric Sensors in a mixed temperate forest.
Benchmarks are needed to evaluate the performance of different close-range remote sensing devices and approaches, both in terms of efficiency as well as accuracy. In this study we evaluate the performance of two terrestrial (TLS), one handheld mobile (PLS) and two drone based (UAVLS) laser scanning systems to detect trees and extract the diameter at breast height (DBH) in three plots with a steep gradient in tree and understorey vegetation density. As a novelty, we also tested the acquisition of 3D point-clouds using a low-cost action camera (GoPro) in conjunction with the Structure from Motion (SfM) technique and compared its performance with those of the more costly LiDAR devices.

forest-inventory

display_name: forest-inventory

lidar

display_name: lidar

mobile-laser-scanning

display_name: mobile-laser-scanning

structure-from-motion

display_name: structure-from-motion

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

terrestrial-photogrammetry

display_name: terrestrial-photogrammetry

unmanned-aerial-vehicle-laser-scanning

display_name: unmanned-aerial-vehicle-laser-scanning

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Ramerenwald Close Range Remote Sensing Benchmark


maintainer: Adam Winstral

en: jim jules-investigation-model snow-simulation snow snow-depth

en: HS and SWE observations

en: Automated (HS) and manual (SWE) data used to evaluate model simulations

mimetype: application/zip

media_type: text/plain

en: File/data descriptor

format: TXT

mimetype: text/plain

en: Station forcing data

en: All forcing data need to run JIM at HS and SWE stations. These are data downscaled directly from COSMO NWP data (WY14, WY15) and further enhanced by additional station observations of snow depth (HS) and air temperature (Ta) in WY17. Further information can be found in README file. Note that in WY14 and WY15, shortwave radiation was not split into direct and diffuse (not necessary for JIM) and that the default method in JIM for splitting precipitation phase was used. In WY 17, direct and diffuse were combined as input to JIM and JIM was forced with pre-processed liquid and solid precipitation phases.

en: DEM

en: 1-km resolution DEM used for downscaling gridded NWP data to stations and for distributing BDE evaluations at HS-stations to SWE-stations

en: These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the "deterministic" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.

jim

display_name: jim

jules-investigation-model

display_name: jules-investigation-model

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-simulation

display_name: snow-simulation

en: Meteorological data used to develop and validate the bias-detecting ensemble (BDE)


en: inp-parameterization ice-nucleation aerosol-source-apportionment aerosol-cloud-interactions biological-particles

en: This dataset includes all processed and raw data in the paper titled "Biological and dust aerosol as sources of ice nucleating particles in the Eastern Mediterranean: source apportionment, atmospheric processing and parameterization"

en:
This repository contains all observational data sets during CALISHTO campaign used for the paper:
Gao, K., Vogel, F., Foskinis, R., Vratolis, S., Gini, M. I., Granakis, K., Billault-Roux, A.-C., Georgakaki, P., Zografou, O., Fetfatzis, P., Berne, A., Papagiannis, A., Eleftheridadis, K., Möhler, O., and Nenes, A.: Biological and dust aerosol as sources of ice nucleating particles in the Eastern Mediterranean: source apportionment, atmospheric processing and parameterization, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-511, 2024.

aerosol-cloud-interactions

display_name: aerosol-cloud-interactions

aerosol-source-apportionment

display_name: aerosol-source-apportionment

biological-particles

display_name: biological-particles

ice-nucleation

display_name: ice-nucleation

inp-parameterization

display_name: inp-parameterization

en: CALISHTO campaign dataset for the publication Biological and Dust Aerosols as Sources of Ice-nucleating Particles in the Eastern Mediterranean


en: isotopes dendrochronology pinus-sylvestris pfynwald tree-rings scots-pine tree-ring-cellulose

en: Read me file.docx

format: SERVICE

media_type: text/csv

format: CSV

en: Isotope measurements of tree-level tissues for the vegetative season 2019.

en:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). This dataset includes measure tree-ring width and tree-ring isotope chronologies (stable isotope ratios of non-exchangeable hydrogen δ2H, oxygen δ18O, and carbon δ13C), for the Pfynwald experiment, including control trees, irrigation and irrigation-stop treatments until the year 2019.

This dataset contains all data on which the following publication below is based.
Please cite this paper together with the citation for the datafile.

dendrochronology

display_name: dendrochronology

isotopes

display_name: isotopes

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

scots-pine

display_name: scots-pine

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-rings

display_name: tree-rings

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Pfynwald 2019 - Dendrochronological and tree-ring isotope dataset


maintainer: Varun Sharma

en: mesoscale-modelling alps blowing-snow antarctica snow-atmosphere-interaction

en: REPRODUCIBILITY_SIMULATION.zip contains all the extraneous files required to perform the simulations in associated manuscript (see Citations 3 in README.txt). The purpose of sharing these files apart from purposes of reproducibility is to also serve as templates for users to learn the workflow of CRYOWRF and perform simulations for their own purposes.

en:
REPRODUCIBILITY_POSTPROCESSING.zip contains data and scripts used to produce all figures from for the associated manuscript submitted for peer review ( see section on Citations below )

The folders stand for the three case studies presented in the manuscript. Two case studies (case Ia and case Ib) are on simulations in Antarctica and one case study
case II is for simulations in the Alps.

The associated data in the form of netcdf files or text files were produced using CRYOWRF v1.0

Apart from reproducibility, the intention of sharing these scripts is also to make it easy for new users to adopt CRYOWRF and be efficient, in particular in processing snowpack outputs.

The scripts were tested on multiple machines (different OSes) with the attached YAML file (wrf_analysis.yml) to setup the conda environment. All scripts were run using spyder as the IDE.

en:
This repository contains data required for reproducibility of the results to be published in the associated manuscript.

Apart from reproducibility, the attached datasets also serve as templates for new users to adopt CRYOWRF in their research.

The datasets consist of two folders organized in zip format:

1. REPRODUCIBILITY_SIMULATION:
  Consists of namelists for WPS, WRF and SNOWPACK to reproduce simulations published in the manuscript
  Additional files include datasets (from IMAU-FDM / RACMO, see "credits" below ) as well as helper python scripts to
  produce *.sno files
  which are used as initial conditions for SNOWPACK in CRYOWRF.

2. REPRODUCIBILITY_POSTPROCESSING:
   Includes outputs of CRYOWRF and python scripts used to prepare figures in the manuscript.

Each of the folders have their own readme files for more details.

 Code
citation: Varun Sharma. (2021, July 2). vsharma-next/CRYOWRF: CRYOWRF v1.0 (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.5060165

location: https://gitlabext.wsl.ch/atmospheric-models/CRYOWRF   (stable releases / institutional repo)
        https://github.com/vsharma-next/CRYOWRF            (dev branches / developer repo)

 Publication
**Introducing CRYOWRF v1.0: Multiscale atmospheric flow simulations with advanced snow cover modelling.**
Varun Sharma, Fraziska Gerber and Michael Lehning, Submitted to Geoscientific Model Development

 Acknowledgements
We thank Peter Kuipers Munneke (P.KuipersMunneke@uu.nl) for preparing and sharing outputs of IMAU-FDM and RACMO used for initial conditions for case Ia. The relevant citations for the methods through which these datasets were generated are:

* Kuipers Munneke, P., S. R. M. Ligtenberg, B. P. Y. Noël, I. M. Howat, J. E. Box, E. Mosley-Thompson, J. R. McConnell, K. Steffen, J. T. Harper, S. B. Das and M. R. van den Broeke. 2015. Elevation change of the Greenland ice sheet due to surface mass balance and firn processes, 1960-2014. The Cryosphere, 9, 2009-2025. doi:10.5194/tc-9-2009-2015

 * Ligtenberg, S. R. M., P. Kuipers Munneke, B. P. Y. Noël, and M. R. van den Broeke. 2018. Brief communication: Improved simulation of the present-day Greenland firn layer (1960-2016). The Cryosphere, 12, doi:10.5194/tc-12-1643-2018

alps

display_name: alps

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

mesoscale-modelling

display_name: mesoscale-modelling

snow-atmosphere-interaction

display_name: snow-atmosphere-interaction

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: Reproducibility Dataset for CRYOWRF v1.0


lidar-davos-wolfgang

maintainer: Patric Seifert

title_for_slug: lidar-davos-wolfgang

en: lidar polly raclets clouds tropos

en: Raman Lidar Davos

en: A portable Raman lidar system (Polly) from Leibnitz Institute for Tropospheric Research (Tropos) was deployed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Please use this [link](http://polly.tropos.de/?p=lidarzeit&Ort=39), to be directly forwarded to the Davos location and select the date of interest from the calendar (bold numbers). The data can be requested directly at the Polly team.

clouds

display_name: clouds

lidar

display_name: lidar

polly

display_name: polly

raclets

display_name: raclets

tropos

display_name: tropos

en: LIDAR Davos Wolfgang


en: biomass-dynamics soil-nutrients plant-community plant-traits treeline-ecosystems climate-change

en: Data on soils, tree biomass, plant nutrients, rock mineralogy, climate of treeline ecosystems in Khibiny mountains, Kola Penninsula, Russia

en: Data on soil nutrients and charcteristics, tree and understory biomass, foliage nutrients, mineralogy, soil temperature and moisture along an elevation gradient from boreal forest to mountain tundra in teh Khibiny mountains (Kola Penninsula, Russia). Samples were taken along two gradients at 7 elevation level either under tree canopy (tree) and in open areas (open).

biomass-dynamics

display_name: biomass-dynamics

climate-change

display_name: climate-change

plant-community

display_name: plant-community

plant-traits

display_name: plant-traits

soil-nutrients

display_name: soil-nutrients

treeline-ecosystems

display_name: treeline-ecosystems


maintainer: Yaquan Chang

en: hypervolume phytodiversity hengduan-mountains model-residuals habitat-heterogeneity

en: HDM heterogeneity scales

en: The Heterogeneity matrics in the Hengduan mountain scale

en: Eurasia plant family richness map

en: This is the plant family level richness map at the Eurasia scale calculated from https://www.nature.com/articles/s41597-021-00997-6

en: Plant range map at Hengduan scale

en: This is the plant range map at the Hengduan mountain scale based on species distribution model, elevation, and county level distribution information

en: Hengduan plant family richness map

en: This is the family level plant richness map in the Hengduan mountain scale at 1km resoution

en: Eurasia SR and heteorgeneity

en: This table is used for the Eurasia scale analyses, including both family level species richness map and different heterogeneity predictors

mimetype: text/csv

en: This research data is used to re includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions. This research data includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions.

habitat-heterogeneity

display_name: habitat-heterogeneity

hengduan-mountains

display_name: hengduan-mountains

hypervolume

display_name: hypervolume

model-residuals

display_name: model-residuals

phytodiversity

display_name: phytodiversity

en: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan


en: mars snow erosion model sediment-transport

en: Datasets of Figure 4b

en: Datasets of Figure 4a

en: Datasets of Figure 3a

en: Datasets of Figure 2

en: Datasets of Figure 3b

en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).

 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation


en: protective-effect forest-fire extreme-events compound-events drought natural-hazards protection-forest bark-beetles

media_type: application/pdf

en: Factsheet summarising the key results of the study (in Italian).

format: PDF

en: Factsheet summarising the key results of the study (in French).

mimetype: application/pdf

en: Conclusions and recommendations of the project (in German).

en: Case study website

media_type: text/html

en: Page of the case study on the project website. It includes figures fo all questions of the survey and additional synthesis graphs.

format: HTML

en: Description of the study site, extreme event (trigger event) and informations about the survey.

en:
This file contains the anonymous answers to the survey for the case study in the protective forest, Val Mesolcina, GR, Switzerland within the BAFU Project "Wenn Risiken kumulieren - Analyse und Umgang mit unerwarteten Ereignissen und kombinierten Risiken".
The survey consists of two parts, based on different concepts: "top-down" and "bottom-up". Answers for both concepts are available in two different worksheets within the Excel file.

en: Factsheet summarising the key results of the study (in German).

en: Factsheet summarising the methods used in this project (in German).

en:
This dataset contains the results of a case study analysing the potential impacts of a compound meteorological extreme event on the protective forest in the Val Mesolcina. These impacts were assessed in an experts survey. 29 Experts from practice, administration and science estimated the probabilities for a loss of the protective function due to a drought-related compound extreme event based on different hazard scenarios. The experts not only assessed these probabilities but also provided estimates about the reliability of the scenarios, other socio-economic consequences and options for adaptation.
This dataset contains the following information:
- Table with all (anonymised) answers from the survey
- Factsheets summarising the results and methods in German, French and Italian
- A detailed description of the study site and survey instructions
- Link to the project website wit illustrations for each individual question of the survey

bark-beetles

display_name: bark-beetles

compound-events

display_name: compound-events

drought

display_name: drought

extreme-events

display_name: extreme-events

forest-fire

display_name: forest-fire

natural-hazards

display_name: natural-hazards

protection-forest

display_name: protection-forest

protective-effect

display_name: protective-effect

en: Experts survey protective forest and combined extremes in Val Mesolcina


high-resolution-climate-data-for-europe

title_for_slug: high-resolution-climate-data-for-europe

en: maximum-temperature cordex precipitation europe eur11 air-temperature daily-climate minimum-temperature

en: Data Access

en: CHELSA EUR11 Technical Documentation

en: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present downscaled climate data for the CORDEX EUR11 domain at a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperature lapse rates. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height. The resulting data consist of a daily temperature and precipitation timeseries.

The data is distributed under a: Creative Commons: Attribution 4.0 International (CC BY 4.0) license.

air-temperature

display_name: air-temperature

cordex

display_name: cordex

daily-climate

display_name: daily-climate

europe

display_name: europe

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

en: High resolution climate data for Europe


verkehrszahlungen

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: verkehrszahlungen

label: geocat.ch permalink

de: AGIS Direktdownload

de: Verkehrszählungen

format: WMS

de: Bei diesem Datensatz handelt es sich um die Verkehrszählstellen (Punktdatensatz) im Kanton Aargau mit der Angabe des durchschnittlichen täglichen Verkehrs (DTV) der Motorfahrzeuge seit 1983. Anhand des Datensatzes lässt sich die Entwicklung des Verkehrs seit 1983 ableiten. Seit 2003 ist auch der LKW-Anteil an ausgewählten Standroten ausgewiesen. Suchbegriffe: Verkehrserhebungen, DTV, DWV, Zähldaten, motorisierte Individualverkehr (MIV), Schwerverkehr

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

political_level: canton

value: Aargau-Kt - Geocat Harvester


de: geografische-bezeichnungen verkehrsnetze wanderweg geographisches-informationssystem vektor gis-geografisches-informationssystem landschaftsmodell bgdi-bundesgeodaten-infrastruktur

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Chemins de randonnée pédestre"

de: WMS-BGDI Dienst, Layer "Wanderwege"

en: WMS-FSDI service, layer "Hiking trails"

it: Servizio WMS-IFDG, strato "Percorsi escursionistici"

fr: Service WMTS-IFDG, couche , Layer "Chemins de randonnée pédestre"

de: WMTS-BGDI Dienst, Layer "Wanderwege"

en: WMTS-FSDI service, layer "Hiking trails"

it: Servizio WMTS-IFDG, strato "Percorsi escursionistici"

format: WMTS

fr: Geopackage (ZIP)

de: Geopackage (ZIP)

en: Geopackage (ZIP)

it: Geopackage (ZIP)

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: swissTLM3D chemins de randonnée pédestre comprend les chemins de randonnée officiels de la Suisse et de la Principauté de Liechtenstein. Le jeu de données est publié en collaboration avec l'Office fédéral des routes OFROU, SuisseMobile, Suisse Rando et les cantons. Les données sont mises à jour complètement une fois par an avec le jeu de données swissTLM3D. En cours d’année, des corrections et améliorations ponctuelles sont publiées au besoin.

de: swissTLM3D Wanderwege enthält die signalisierten Wanderrouten der Schweiz und des Fürstentums Liechtenstein. Der Datensatz wird in Zusammenarbeit mit dem Bundesamt für Strassen ASTRA, SchweizMobil, Schweizer Wanderwege und den Kantonen publiziert. Die Daten werden einmal pro Jahr mit dem Datensatz swissTLM3D vollständig aktualisiert. Bei Bedarf werden im Laufe des Jahres punktuelle Korrekturen und Verbesserungen publiziert.

en: swissTLM3D hiking trails contains the hiking trails of Switzerland and the Principality of Liechtenstein. This dataset is published in collaboration with the Federal roads office FEDRO, SwitzerlandMobility, Suisse Rando and the cantons. The data is fully updated once a year with the swissTLM3D dataset. If necessary, ad hoc corrections and improvements are published during the year.

it: swissTLM3D sentieri pedestri comprende i sentieri pedestri ufficiali della Svizzera e del Principato del Liechtenstein. Il set di dati viene pubblicato in collaborazione con l'Ufficio federale delle strade USTRA, SvizzeraMobile, Sentieri Svizzeri e i cantoni. I dati vengono aggiornati completamente una volta all'anno con il dataset swissTLM3D. Correzioni e miglioramenti puntuali vengono pubblicati regolarmente durante l’anno.

spatial: Schweiz

name: Bundesamt für Landestopografie swisstopo

fr: Office fédéral de topographie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

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

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

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

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

political_level: confederation

value: Swisstopo - Geocat Harvester

de: swissTLM3D Wanderwege

en: swissTLM3D hiking trails

it: swissTLM3D percorsi escursionistici


de: flurnamen ortsnamen

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

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

de: WMS Nomenklatur

de: Web Map Services WMS

de: WFS Nomenklatur

de: Web Feature Services WFS

format: WFS

de: Die Informationsebene Nomenklatur der amtlichen Vermessung beinhaltet Bezeichnungen für Gebiete, Landschaftsteile, topografischen Objekten, usw.

spatial: Stadt Bern

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

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

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

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

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

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Nomenklatur


iati-xml-activity-file

maintainer: Statistics Unit, Swiss Agency for Development and Cooperation (SDC)

title_for_slug: IATI–XML Activity file

fr: iati developpement-et-cooperation ddc dfae aide-humanitaire

de: eda entwicklung-und-zusammenarbeit deza humanitare-hilfe entwicklungszusammenarbeit iati

en: iati fdfa development-cooperation development-and-cooperation sdc humanitarian-aid

it: iati dsc aiuto-umanitario dfae sviluppo-e-cooperazione

fr: IATI–XML Activity file 2018

de: IATI–XML Activity file 2018

en: IATI–XML Activity file 2018

it: IATI–XML Activity file 2018

media_type: application/xml

format: XML

mimetype: application/xml

identifier: IATI–XML Activity file 2018

fr: IATI–XML Activity file 2015

de: IATI–XML Activity file 2015

en: IATI–XML Activity file 2015

it: IATI–XML Activity file 2015

identifier: IATI–XML Activity file 2015

fr: IATI–XML Activity file 2019

en: IATI–XML Activity file 2019

de: IATI–XML Activity file 2019

it: IATI–XML Activity file 2019

identifier: IATI–XML Activity file 2019

fr: IATI–XML Activity file 2016

en: IATI–XML Activity file 2016

de: IATI–XML Activity file 2016

it: IATI–XML Activity file 2016

identifier: IATI–XML Activity file 2016

fr: IATI–XML Activity file 2017

de: IATI–XML Activity file 2017

en: IATI–XML Activity file 2017

it: IATI–XML Activity file 2017

identifier: IATI–XML Activity file 2017

fr: IATI–XML Activity file 2020

de: IATI–XML Activity file 2020

en: IATI–XML Activity file 2020

it: IATI–XML Activity file 2020

fr: La DDC publie chaque année des données détaillées sur ses activités de coopération au développement et d'aide humanitaire dans le fichier d'activité. L'ensemble de données contient pour chaque activité des informations standardisées sur les caractéristiques et le financement des projets de la DDC. Les données sont publiées selon la norme de l'Initiative internationale pour la transparence de l’aide (IITA).

en: Activity files are where SDC, as a reporting organisation, publishes annualy detailed data about its activities in development cooperation and humanitarian assistance. The dataset contains for each activity standardised information on SDC's project characteristics and funding. The data is published in accordance with the International Aid Transparency Initiative (IATI) standard.

de: Im Aktivitäten File veröffentlicht die DEZA, als berichtende Organisation, jährlich detailliert über ihre Aktivitäten in der Entwicklungszusammenarbeit und der Humanitären Hilfe. Der Datensatz enthält für jede Aktivität der DEZA standardisierte Informationen zu den Eigenschaften und Finanzierung der Projekte. Die Daten werden nach dem IATI Standard der International Aid Transparency Initiative veröffentlicht.

it: Ogni anno la DSC pubblica dati dettagliati sulle sue attività di cooperazione allo sviluppo e di aiuto umanitario nel file delle attività. Per ogni attività, il set di dati contiene informazioni standardizzate sulle caratteristiche e sul finanziamento dei progetti della DSC. I dati sono pubblicati secondo lo standard dell'Iniziativa per la trasparenza degli aiuti internazionali (IATI).

fr: Direction du développement et de la coopération DDC

de: Direktion für Entwicklung und Zusammenarbeit DEZA

en: Swiss Agency for Development and Cooperation SDC

it: Direzione dello sviluppo e della cooperazione DSC

fr: La Direction du développement et de la coopération (DDC) est l’organe du Département fédéral des affaires étrangères (DFAE) responsable des activités de Coopération internationale de la Suisse. Lui incombent la coordination de la coopération au développement et de la coopération avec l'Europe de l’Est avec d’autres offices de la Confédération, ainsi que l’Aide humanitaire de la Suisse.

de: Die Direktion für Entwicklung und Zusammenarbeit (DEZA) ist die Agentur für internationale Zusammenarbeit im Eidgenössischen Departement für auswärtige Angelegenheiten (EDA). Die DEZA ist zuständig für die Gesamtkoordination der Entwicklungs- und Ostzusammenarbeit mit andern Bundesämtern sowie für die humanitäre Hilfe des Bundes.

en: The Swiss Agency for Development and Cooperation (SDC) is the agency for international cooperation of the Federal Department of Foreign Affairs (FDFA). The SDC is responsible for the overall coordination with other federal authorities of development and cooperation with Eastern Europe as well as for humanitarian aid delivered by the Swiss Confederation.

it: La Direzione dello sviluppo e della cooperazione (DSC) è l’agenzia del Dipartimento federale degli affari esteri (DFAE) preposta alla cooperazione internazionale della Svizzera. Alla DSC competono il coordinamento generale, con altri servizi federali, della cooperazione allo sviluppo e della cooperazione con l’Europa dell’Est nonché l’aiuto umanitario della Confederazione.


statische-waldgrenzen-projektiert-ur

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: statische-waldgrenzen-projektiert-ur

de: waldfeststellung geobasisdaten

en: declaration-as-forest official-geodata

label: Web GIS Client des Kanton Uri. Die Daten können direkt via dem Portal in den unterschiedlichsten Datenformaten heruntergeladen werden.

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Ab der öffentlicher Auflage zeigt der Layer: Gemäss der Kantonalen Waldverordnung (KWV), Artikel 11, ist entlang von Bauzonen, die an Wald grenzen oder in Zukunft grenzen sollen und in Gebieten, in denen nach dem kantonalen Richtplan eine Zunahme des Waldes verhindert werden soll, eine Waldfeststellung vorzunehmen. Der kantonale Richtplan schreibt vor, dass nebst den Waldgrenzen entlang der Bauzone auch entlang von landwirtschaftlichen Nutzflächen (Hügelzone bis Bergzone 4), die an Wald grenzen, eine statische Waldgrenze festgelegt werden soll. Die statische Waldgrenze stellt dabei eine definitive Trennlinie zwischen dem Wald und den Bauzonen und zwischen dem Wald und den landwirtschaftlichen Nutzflächen dar.

spatial: Canton of Uri (UR)

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

value: Uri-Kt - Geocat Harvester

fr: Statische Waldgrenzen projektiert (UR)

de: Statische Waldgrenzen projektiert (UR)

en: Statische Waldgrenzen projektiert (UR)

it: Statische Waldgrenzen projektiert (UR)


statische-waldgrenzen-differenz-ur

title_for_slug: statische-waldgrenzen-differenz-ur

fr: Ab der öffentlichen Auflage zeigt der Layer die Differenz zwischen den rechtskräftigen und den projektierten Daten der Statischen Waldgrenzen: Neue Objekte / Gelöschte Objekte

fr: Statische Waldgrenzen Differenz (UR)

de: Statische Waldgrenzen Differenz (UR)

en: Statische Waldgrenzen Differenz (UR)

it: Statische Waldgrenzen Differenz (UR)


gestaltungsplane-perimeter

title_for_slug: gestaltungsplane-perimeter

de: eigentumsbeschrankungoreb nutzungsplanung raumplanung sondernutzungsplanung

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Geltungsbereiche (Perimeter) von Gestaltungsplänen, welche eine siedlungsgerechte, architektonisch und erschliessungstechnisch gute Überbauung eines zusammenhängenden Gebietes sicherstellen.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Gestaltungspläne: Geltungsbereiche


bodenkarte-dsm

title_for_slug: bodenkarte-dsm

fr: affaissement-du-sol type-de-sol sol perimetre

de: bodensenkung bodenart boden perimeter

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: La cartographie des sols fournit des cartes de base importantes pour l'exécution et la pratique et constitue un instrument de précaution pour une utilisation durable des sols. Les présentes cartes de prévision ont été établies à l'aide de la méthode Cartographie des Sols par Modélisation Statistique (CSMS). Ce modèle de prévision représente des pronostics pour la valeur d'une propriété du sol à un endroit donné. Les prévisions du modèle ont été calculées pour des points de quadrillage avec une distance de 2 x 2m. L'échelle à laquelle les cartes doivent être interprétées est définie dans la calque périmètre de cartographie. Si disponible, le rapport technique est également lié dans cette calque.

de: Die Bodenkartierung liefert wichtige Grundlagenkarten für Vollzug und Praxis und stellt ein Vorsorgeinstrument für eine nachhaltige Nutzung der Böden dar. Die vorliegenden Prognosekarten wurden mit der Methode Digital Soil Mapping (DSM) erstellt. Diese Modellvorhersage stellt Prognosen für den Wert einer Bodeneigenschaft an einem bestimmten Ort dar. Die Modellvorhersagen wurden für Rasterpunkte mit einer Distanz von 2 x 2m berechnet. In welchem Massstab die Karten zu interpretieren sind, ist im Layer Kartierperimeter definiert. Sofern vorhanden, ist auch der Fachbericht in diesem Layer verlinkt.

spatial: Kanton Bern (erweitert)

name: Amt für Landwirtschaft und Natur - Strukturverbesserungen und Produktion / Fachstelle Boden

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

de: Amt für Geoinformation des Kantons Bern

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

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

value: Bern-Kt - Geocat Harvester

fr: Carte des sols DSM

de: Bodenkarte DSM


regi

de: Regionen und Städte

envi

de: Umwelt

fr: bordure bois

de: grenze wald

fr: Thème du cadastre RDPPF L'ordonnance classe les jeux de géodonnées de base cantonales qui relèvent du domaine des plans d'affectation dans le cadastre des restrictions de droit public à la propriété foncière (cadastre RDPPF). Le thème du cadastre RDPPF suivantes se trouve dans le géoproduit NUPLWALD: - Limites forestières statiques (OGéo ID 157). **Le jeu de données est en construction et n'est pas encore disponible pour l'en-semble du canton de Berne.**.

de: ÖREB-Katasterthema Die kantonalen Geobasisdatensätze im Bereich Nutzungsplanung sind gemäss der Verordnung über den Kataster der öffentlich-rechtlichen Eigentumsbeschränkungen (ÖREBKV) Bestandteile des ÖREB-Katasters. Folgendes ÖREB-Katasterthema ist in diesem Geoprodukt NUPLWALD enthalten: - Statische Waldgrenzen (GeoIV ID 157). **Der Datensatz befindet sich im Aufbau und ist noch nicht flächendeckend für den ganzen Kanton Bern vorhanden. **

name: Amt für Wald und Naturgefahren - Fachdienste und Ressourcen

fr: Limites forestières statiques

de: Statische Waldgrenzen


siedlungsentwicklung-nach-innen

regi

fr: Régions et villes

fr: Environnement

title_for_slug: siedlungsentwicklung-nach-innen

fr: concentration-de-peuplement planification-de-lespace-physique tableau-des-valeurs planification

de: siedlungsverdichtung raumplanung wertetabelle planung

fr: L'urbanisation interne (URBi) constitue un objectif important de l'aménagement du territoire, dans le canton de Berne aussi bien qu'ailleurs. Les zones à bâtir mal exploitées, les îlots non construits et les friches urbaines doivent faire l'objet de mesures de construction ou être mieux utilisées avant que des terrains à bâtir ne soient équipés ou que de nouveaux terrains ne soient classés en zone à bâtir. Les villes et les villages ne devraient pas s'étendre mais se développer à l'intérieur des zones déjà construites, ce qui permettrait de freiner le mitage du territoire et de protéger les terres arables ainsi que le paysage. Le canton met à la disposition des communes un ensemble de données, qui servent de base pour mettre en oeuvre la tâche consistant à promouvoir l'urbanisation interne, conformément à la mesure A_07. Les données ayant un lien avec l'urbanisation interne sont tirées de la statistique des bâtiments et des logements (StatBL) de l'Office fédéral de la statistique (OFS).

de: Die Siedlungsentwicklung nach innen (SEin) ist ein wichtiges Ziel der Raumplanung, auch im Kanton Bern. Schlecht genutzte Bauzonen, Baulücken und Siedlungsbrachen sollen überbaut, resp. optimaler genutzt werden, bevor neues Bauland erschlossen oder gar neu eingezont wird. Städte und Dörfer sollen nicht mehr an ihren Rändern weiterwachsen, sondern sich innerhalb des bestehenden Siedlungsgebietes weiterentwickeln. Dadurch können die Zersiedelung gebremst und das Kulturland und die Landschaft geschont werden. Der Kanton stellt den Gemeinden ein 'Grundset' an Daten zur Verfügung, die bei der Bearbeitung der Aufgabe SEin gemäss A_07 als Grundlage dienen. Die SEin-bezogenen Daten bestehen aus Informationen abgeleitet aus dem GWS (Gebäude- und Wohnungsstatistik) vom Bundesamt für Statistik (BFS).

fr: Urbanisation interne

de: Siedlungsentwicklung nach innen


geologische-sondierungen

title_for_slug: geologische-sondierungen

fr: geologie tableau-des-valeurs

de: geologie wertetabelle

fr: Plus de 50'000 documents se rapportant au sous-sol du canton de Berne sont répertoriés dans les archives géologiques de l'Office des eaux et des déchets du canton de Berne (OED). Il s'agit de données provenant d'études géologiques et hydrogéologiques de rapports géotechniques, de sondages pour exploitation de la chaleur ou la prospection de matières premières, d'études pour la délimitation de zones de protection des eaux souterraines ou encore d'études liées à l'évaluation de sites pollués. Les forages (avec accès direct au profil de sondage si disponible) et les puits sont représentés.

de: Bei der geologischen Dokumentationsstelle des Amtes für Wasser und Abfall (AWA) sind über 50'000 Einträge über den Aufbau des geologischen Untergrundes im Kanton Bern gespeichert. Es handelt sich dabei um Informationen aus geologischen und hydrogeologischen Untersuchungen, Baugrunduntersuchungen, wärme- oder rohstofftechnischen Bohrungen, Schutzzonengutachten, Altlastenuntersuchungen, usw. Dargestellt werden Bohrungen (inkl. Direktzugriff auf das Bohrprofil, wenn vorhanden) und Brunnen.

fr: Sondages géologiques

de: Geologische Sondierungen


hindernisbegrenzungsflachen-kataster

title_for_slug: hindernisbegrenzungsflachen-kataster

label: Link zum Fachportal

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: Lien vers la distribution des données

de: Link für Datenbezug

en: Link for data download

it: Link per le fonti dei dati

protocol: WWW:DOWNLOAD:INTERLIS 2 (XTF)

format: INTERLIS

fr: Lien vers le WMS

de: Link zum WMS

en: Link to WMS

it: Link verso WMS

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

format: GPKG

fr: Les surfaces de limitation d’obstacles recouvrent une série de surfaces tridimensionnelles qui délimitent, en direction du sol, l'espace aérien qui doit normalement être dépourvu d'obstacles pour que la sécurité de l'aviation soit assurée. Les objets qui font saillie au-dessus de ces surfaces sont qualifiés d’obstacles à la navigation aérienne. Ces surfaces visent à garantir que l’espace aérien est dépourvu d’obstacles susceptibles de compromettre la sécurité du trafic aérien. Le cadastre des surfaces de limitation d'obstacles se définit comme l'établissement officiel des surfaces de limitation d'obstacles valables pour un aérodrome, une installation de navigation aérienne ou une trajectoire de vol. L'Office fédéral de l'aviation civile (OFAC) gère un cadastre des surfaces de limitation d'obstacles (anglais: Obstacle Limitation Surfaces OLS) pour les installations civiles. Celui-ci représente de manière structurée et univoque tous les types de surfaces tridimensionnelles de limitation d'obstacles selon l'Annexe 14 de l'OACI. La couche ne contient que des données qui sont approuvées et conformes au modèle.

de: Hindernisbegrenzungsflächen sind eine Serie von dreidimensionalen Flächen, welche den für die Flugsicherheit in der Regel erforderlichen hindernisfreien Luftraum nach unten abgrenzen. Objekte, die diese Begrenzungsflächen durchstossen, bezeichnet man als Luftfahrthindernisse. Ziel ist es, den Luftraum vor Hindernissen zu schützen, damit ein sicherer Flugbetrieb gewährleistet werden kann. Beim Hindernisbegrenzungsflächen-Kataster (HBK) handelt sich um eine amtliche Feststellung der Hindernisbegrenzungsflächen für einen Flugplatz, eine Flugsicherungsanlage oder einen Flugweg. Das Bundesamt für Zivilluftfahrt (BAZL) führt über die zivilen Anlagen einen Kataster der Hindernisbegrenzungsflächen (engl. Obstacle Limitation Surfaces OLS). Dieser bildet sämtliche Typen von dreidimensionalen Hindernisbegrenzungsflächen gemäss ICAO Annex 14 strukturiert und eindeutig ab. Der Layer beinhaltet nur Daten die genehmigt und modellkonform sind.

en: Obstacle limitation surfaces are a series of three-dimensional surfaces that delimit the obstacle-free airspace generally required for flight safety. Objects that penetrate these limitation surfaces are referred to as aeronautical obstacles. The aim is to protect the airspace from obstacles so that safe flight operations can be guaranteed. The obstacle limitation surfaces cadastre (OLS) is an official determination of the obstacle limitation surfaces for an airfield, an air traffic control facility or a flight path. The Federal Office of Civil Aviation (FOCA) maintains this cadastre for civil installations. This maps all types of three-dimensional obstacle limitation surfaces in accordance with ICAO Annex 14 in a structured and unambiguous manner. The layer only contains data that is approved and conforms to the model.

it: Le superfici di limitazione degli ostacoli sono una serie di superfici tridimensionali che delimitano, in direzione del suolo, lo spazio aereo che deve rimanere libero da ostacoli in modo che la sicurezza del traffico aereo sia garantita. Gli oggetti che attraversano queste superfici di limitazione vengono definiti ostacoli alla navigazione aerea. Lo scopo di queste superfici è quello di garantire che lo spazio aereo sia libero da ostacoli che potrebbero compromettere la sicurezza del traffico aereo. Il catasto delle superfici di limitazione degli ostacoli è definito come l'accertamento ufficiale delle superfici di limitazione degli ostacoli, per un aerodromo, un impianto della navigazione aerea o una traiettoria di volo. L'Ufficio federale dell'aviazione civile (UFAC) gestisce un catasto delle superfici di limitazione degli ostacoli (in inglese «Obstacle Limitation Surfaces OLS») per gli impianti civili, il quale illustra in modo strutturato e preciso tutti i tipi di superfici di limitazione degli ostacoli tridimensionali secondo l'ICAO Annex 14. Il livello contiene solo i dati approvati e conformi al modello.

bundesamt-fur-zivilluftfahrt-bazl

fr: Office fédéral de l'aviation civile OFAC

de: Bundesamt für Zivilluftfahrt BAZL

en: Federal Office of Civil Aviation FOCA

it: Ufficio federale dell’aviazione civile UFAC

fr: L’Office fédéral de l’aviation civile (OFAC) est l’organe compétent en matière de politique aéronautique et de surveillance de l'aviation civile suisse. Placé sous l’autorité du Département fédéral de l’environnement, des transports, de l’énergie et de la communication (DETEC), l’OFAC veille à ce que l’aviation civile suisse bénéficie d’un niveau de sécurité élevé et suive un développement durable.

de: Das Bundesamt für Zivilluftfahrt (BAZL) ist für die Luftfahrtentwicklung und die Aufsicht über die zivile Luftfahrt in der Schweiz zuständig. Das BAZL gehört zum Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK) und ist dafür verantwortlich, dass die Zivilluftfahrt in der Schweiz ein hohes Sicherheitsniveau aufweist und eine nachhaltige Entwicklung verfolgt.

en: The Federal Office of Civil Aviation (FOCA) is responsible for aviation development and the supervision of civil aviation activities in Switzerland. The FOCA is part of the Federal Department of the Environment, Transport, Energy and Communications (DETEC) and is charged with ensuring that the high safety standards in civil aviation in Switzerland are maintained, and with pursuing a policy of sustainable development.

it: L’Ufficio federale dell’aviazione civile (UFAC), che fa parte del Dipartimento federale dell’ambiente, dei trasporti, dell’energia e delle comunicazioni (DATEC), è responsabile dell’evoluzione nel settore aeronautico e della sorveglianza sull’aviazione civile in Svizzera. Esso garantisce uno standard di sicurezza elevato e promuove il principio dello sviluppo sostenibile nell’aviazione civile elvetica.

value: BAZL - Geocat Harvester

fr: Cadastres des surfaces de limitation d’obstacles

de: Hindernisbegrenzungsflächen-Kataster

en: Cadastre of obstacle limitation surfaces

it: Catasto delle superfici di limitazione degli ostacoli


agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Service WMS-IFDG, couche "Bunias d`Orient"

de: WMS-BGDI Dienst, Layer "Glattes Zackenschötchen"

en: WMS-FSDI service, layer "Bunias orientalis"

it: Servizio WMS-IFDG, strato "Cascellore orientale"

fr: Service WMTS-IFDG, couche , Layer "Bunias d'Orient"

de: WMTS-BGDI Dienst, Layer "Glattes Zackenschötchen"

en: WMTS-FSDI service, layer "Bunias orientalis"

it: Servizio WMTS-IFDG, strato "Cascellore orientale"

en: Link for download

fr: Le set « plantes exotiques envahissantes » contient les cartes de distribution potentielle pour 56 plantes exotiques envahissantes en Suisse et répertoriées dans la Liste Noire et la Watch-List, ou présentes dans les pays voisins et ayant le potentiel de coloniser la Suisse. Les cartes sont le résultat de modélisation de l'Université de Lausanne et prédisent leur potentiel de propagation de ces espèces en Suisse. Les modèles sont basés respectivement sur les données d'occurrence du GBIF (Global Biodiversity Information Facility) et associées aux données climatiques de Worldclim (résolution de 1km), et sur les données d'occurrence d'infoflora associées aux données climatiques du WSL (résolution de 100m). Les cartes à 100m utilisent également d'autres variables telles que l'utilisation du sol et de la géologie.

de: Das Set Invasive gebietsfremde Pflanzen enthält die Karten der potentiellen Verbreitung von 56 in der Schweiz vorkommenden invasiven gebietsfremden Arten sowie solchen aus Nachbarländern mit dem Potential sich in die Schweiz auszudehnen. Die Karten sind das Ergebnis einer Modellierung der Uni Lausanne zur Vorhersage der Verbreitung von invasiven Pflanzen, welche in der Schwarzen Liste resp. der Watchliste aufgeführt sind. Das Modell basiert auf den verfügbaren Daten von GBIF (Global Biodiversity Information Facility), verknüpft mit aktuellen Klimadaten von Worldclim (1km Auflösung) sowie den verfügbaren Daten von InfoFlora verknüpft mit Klimadaten der WSL (100 m Auflösung). Die Karten mit 100 m Auflösung beinhalten weitere Variablen wie Landnutzung und Geologie.

en: The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology.

it: Il set Piante esotiche invasive contiene le carte di distribuzione potenziale di 56 specie di piante invasive non indigene presenti in Svizzera nonché di quelle dei Paesi vicini che hanno il potenziale di diffondersi in Svizzera. Le carte sono il frutto di una modellizzazione operata dall'Università di Losanna per prevedere la distribuzione delle piante invasive riportate nella lista nera, rispettivamente nella lista di osservazione. Il modello si basa sui dati disponibili della GBIF (Global Biodiversity Information Facility) combinati con dati climatici aggiornati di Worldclim (risoluzione 1km) nonché sui dati disponibili di InfoFlora combinati con dati climatici di WSL (risoluzione 100 m). Le carte con una risoluzione di 100 m contengono altre variabili, come lo sfruttamento del terreno e la geologia.

name: Bundesamt für Umwelt / Abteilung Biodiversität und Landschaft

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.

value: BAFU - Geocat Harvester

fr: Plantes exotiques envahissantes - Carte de distribution potentiel Bunias d'Orient

de: Invasive gebietsfremde Pflanzen - Potentialkarte Glattes Zackenschötchen

en: Invasive alien plants - map of the potential area Bunias orientalis

it: Piante esotiche invasive - carte di distribuzione potenziale Cascellore orientale


studie-kommunikation

maintainer: Kompetenzzentrum Daten (DCC)

title_for_slug: Studie: Kommunikation von wissenschaftlich fundierten Sachverhalten

de: kommunikation konsumentenforschung ernahrung tierschutz lebensmittelsicherheit

de: Das Forschungs- und Entwicklungsprojekt «Wie können wissenschaftlich fundierte Sachverhalte glaubwürdig, nachhaltig, zielgruppengerecht und zielführend kommuniziert werden?» erarbeitet Ansatzpunkte für die konkrete Kommunikationsarbeit.Forschungsgegenstände sind zum einen exemplarische Kommunikationsthemen des Bundesamts für Lebensmittelsicherheit und Veterinärwesen BLV: Lebensmittel und Ernährung, Schadstoffe im Haushalt, private und professionelle Tierhaltung. Zum anderen werden Zielgruppen als Adressaten der Kommunikation untersucht.Dabei werden quantitative und qualitative Verfahren der Inhaltsanalyse und Befragungsforschung verwendet.

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

tech

fr: Science et technologie

de: Wissenschaft und Technologie

en: Science and technology

it: Scienza e tecnologia

name: Bundesamt für Lebensmittelsicherheit und Veterinärwesen BLV

fr: Office fédéral de la sécurité alimentaire et des affaires vétérinaires OSAV

en: Federal Food Safety and Veterinary Office FSVO

it: Ufficio federale della sicurezza alimentare e di veterinaria USAV

fr: L’OSAV a pour principale mission de promouvoir activement la santé et le bien-être de l’homme et de l’animal. Son action repose essentiellement sur la sécurité des aliments et une alimentation saine, pour l’homme, et sur la protection et la santé des animaux.

en: The main task of the FSVO is to actively promote the health and well-being of humans and animals. The central pillars of this approach are food safety and healthy eating for humans, and animal health and welfare for animals.

de: Hauptaufgabe des BLV ist es, die Gesundheit und das Wohlbefinden von Mensch und Tier aktiv zu fördern. Die Hauptpfeiler dafür sind beim Menschen Lebensmittelsicherheit und gesunde Ernährung und beim Tier Tierschutz und Tiergesundheit.

it: Il compito principale dell’USAV consiste nel promuovere attivamente la salute e il benessere dell’essere umano e degli animali. Per l’uomo il focus è posto soprattutto sulla sicurezza alimentare e su un’alimentazione sana, mentre per gli animali sulla loro protezione e salute.


swisstlmregio-miscellaneous

envi

fr: Environnement

it: Ambiente

title_for_slug: swisstlmregio-miscellaneous

de: kirche geographisches-informationssystem antenne gis-geografisches-informationssystem landschaftsmodell hohenkote schloss einzelsignatur geografische-bezeichnungen energiequellen hohe bgdi-bundesgeodaten-infrastruktur

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Objets marquants swissTLMRegio"

de: WMS-BGDI Dienst, Layer "Einzelobjekte swissTLMRegio"

en: WMS-FSDI service, layer "Single objects swissTLMRegio"

it: Servizio WMS-IFDG, strato "Oggetti singoli swissTLMRegio"

fr: Service WMTS-IFDG, couche , Layer "Objets marquants swissTLMRegio"

de: WMTS-BGDI Dienst, Layer "Einzelobjekte swissTLMRegio"

en: WMTS-FSDI service, layer "Single objects swissTLMRegio"

it: Servizio WMTS-IFDG, strato "Oggetti singoli swissTLMRegio"

fr: Shop

de: Shop

en: Shop

it: Shop

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: Le Topic Miscellaneous comprend une sélection d'objets ponctuels et linéaires marquants ainsi que des cotes d'altitude. Il est composé de six feature classes.

de: Der Topic Miscellaneous umfasst eine Auswahl von markanten punktuellen und linearen Einzelobjekten sowie Höhenkoten. Er besteht aus sechs Feature Classes.

en: The topic Miscellaneous contains a selection of prominent single point and line features and elevation points. It consists of sixfeature classes.

it: Il topic Miscellaneus comprende una selezione di singoli oggetti puntuali e lineari caratteristici e di quote altimetriche. È composto da sei feature class.

spatial: swissTLMRegio

fr: Office fédéral de topographie swisstopo

de: Bundesamt für Landestopografie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

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

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

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

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

fr: swissTLMRegio Miscellaneous

de: swissTLMRegio Miscellaneous

en: swissTLMRegio Miscellaneous

it: swissTLMRegio Miscellaneous


swisstlmregio-buildings

title_for_slug: swisstlmregio-buildings

de: gis-geografisches-informationssystem landschaftsmodell geographisches-informationssystem gebaude bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Bâtiments gén. swissTLMRegio"

de: WMS-BGDI Dienst, Layer "Einzelgebäude gen. swissTLMRegio"

en: WMS-FSDI service, layer "Building generalized swissTLMRegio"

it: Servizio WMS-IFDG, strato "Edifici gen. swissTLMRegio"

fr: Service WMTS-IFDG, couche , Layer "Bâtiments gén. swissTLMRegio"

de: WMTS-BGDI Dienst, Layer "Einzelgebäude gen. swissTLMRegio"

en: WMTS-FSDI service, layer "Building generalized swissTLMRegio"

it: Servizio WMTS-IFDG, strato "Edifici gen. swissTLMRegio"

fr: Le Topic Buildings comprend les bâtiments isolés. Il est composé d'une feature class. Les bâtiments saisis représentent, du fait de la forte généralisation liée à l'échelle, en réalité souvent des groupes de bâtiments. Le Topic Buildings ne sert par conséquent pas à l'identification de bâtiments isolés mais représente plutôt un moyen d'orientation auxiliaire.

de: Der Topic Buildings umfasst die Einzelgebäude. Er besteht aus einer Feature Class. Die zugewiesenen Gebäude sind wegen der massstabsbedingten starken Generalisierung in Wirklichkeit häufig Gebäudegruppen bzw. Blöcke. Der Topic Building dient somit nicht der Identifikation von Einzelgebäuden, sondern stellt eher eine Orientierungshilfe dar.

en: The Topic Building contains individual buildings. It consists of one feature class.Because of the effects of generalisation, the assigned buildings in the real world are often groups of buildings. Therefore, the topic Building is not suitable for the identification of single buildings but is rather an orientation aid.

it: Il topic Buildings comprende gli edifici isolati. È composto da una feature class. Per via della forte generalizzazione, in realtà gli edifici assegnati al topic sono spesso gruppi di edifici o blocchi. Il topic Building non serve dunque all'identificazione di edifici isolati, ma costituisce piuttosto uno strumento di orientamento.

fr: swissTLMRegio Buildings

de: swissTLMRegio Buildings

en: swissTLMRegio Buildings

it: swissTLMRegio Buildings


de: eisenbahnnetz strassennetz offentliche-strasse eisenbahn geographisches-informationssystem strassenverkehr hauptstrasse wegnetz seilbahn gis-geografisches-informationssystem fahre landschaftsmodell weg verkehrsnetze bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Transports publics swissTLMRegio"

de: WMS-BGDI Dienst, Layer "Öffentlicher Verkehr swissTLMRegio"

en: WMS-FSDI service, layer "Public transportation swissTLMRegio"

it: Servizio WMS-IFDG, strato "Trasporti pubblici swissTLMRegio"

fr: Service WMTS-IFDG, couche , Layer "Transports publics swissTLMRegio"

de: WMTS-BGDI Dienst, Layer "Öffentlicher Verkehr swissTLMRegio"

en: WMTS-FSDI service, layer "Public transportation swissTLMRegio"

it: Servizio WMTS-IFDG, strato "Trasporti pubblici swissTLMRegio"

fr: Les Transports publics, sont une partie du topic Transportation qui décrit les différents éléments liés aux transports (réseau routier, réseau ferroviaire, aéroports, bacs pour voiture, etc.). Il est composé de 12 feature classes et de 3 tables. Les lignes et les points sont liés topologiquement selon une structure de type arcs – noeuds dans laquelle les arcs (lignes) sont reliés entre eux par des noeuds (points). Chaque arc a ainsi exactement deux noeuds, un par extrémité. Les arcs et les noeuds forment ensemble un réseau géométrique.

de: Der Topic Öffentlicher Verkehr als Teil des Topic Transportation beschreibt die verschiedenen Elemente im Zusammenhang mit dem Verkehr (Strassen- und Eisenbahnnetz, Flughafen, Autofähre, usw.). Er besteht aus 12 Feature Classes und 3 Tabellen. Die Linien und die Punkte sind durch eine so genannte Kanten-Knoten-Struktur topologisch miteinander verknüpft. Kanten (Linien) sind an Knoten (Punkte) miteinander verbunden. Jede Kante hat genau zwei Knoten an den Endpunkten. Kanten und Knoten bilden zusammen ein geometrisches Netzwerk.

en: The Public Transportation Topic, as part of the Transportation Topic, contains different features connected with traffic (road, railway, airports, car-ferry, ...). It consists of 12 feature classes and 3 tables. The lines and the points are related to each other according to a so called edge-node structure. Edges (lines) are connected to each other with nodes (points). Every edge has therefore exactly two nodes at its end. Edges and Nodes together build a geometric network.

it: Il topic "Trasporti pubblici", che fa parte del topic "Transportation", descrive i diversi elementi relativi al traffico (rete stradale e ferroviaria, aeroporti, traghetti per auto ecc.). È composto da 12 feature class e da 3 tabelle. Le linee e i punti sono collegati topologicamente tra loro mediante una cosiddetta struttura del tipo arco-nodo. Gli archi (linee) sono collegati tra loro con dei nodi (punti).Ciascun arco ha esattamente due nodi alle proprie estremità. Gli archi e i nodi compongono insieme una rete geometrica.

fr: swissTLMRegio Transportation transports publics

de: swissTLMRegio Transportation Öffentlicher Verkehr

en: swissTLMRegio Transportation public transport

it: swissTLMRegio Transportation trasporti pubblici


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: offentliche-strasse geographisches-informationssystem strassenverkehr strassennetz eisenbahn eisenbahnnetz seilbahn fahre gis-geografisches-informationssystem hauptstrasse weg landschaftsmodell wegnetz verkehrsnetze bgdi-bundesgeodaten-infrastruktur

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Réseau routier swissTLMRegio"

de: WMS-BGDI Dienst, Layer "Strassennetz swissTLMRegio"

en: WMS-FSDI service, layer "Road system swissTLMRegio"

it: Servizio WMS-IFDG, strato "Rete stradale swissTLMRegio"

fr: Service WMTS-IFDG, couche , Layer "Réseau routier swissTLMRegio"

de: WMTS-BGDI Dienst, Layer "Strassennetz swissTLMRegio"

en: WMTS-FSDI service, layer "Road system swissTLMRegio"

it: Servizio WMTS-IFDG, strato "Rete stradale swissTLMRegio"

fr: "Le réseau routier, est une partie du topic Transportation du produit swissTLMRegio de swisstopo, qui présente les divers éléments en rapport avec le Trafic / Transport. Il présente des informations à propos des: Bureaux de douane (CustomsOffice), Noeuds routiers importants (Interchange), Rampes d'accès aux routes (Ramp), Routes et sentiers (Road), Bacs pour voitures (ship) et Informations sur le trafic routier. Les règles régissant le transport (voies à sens unique, interdictions de tourner) ne sont pas indiquées.

de: Das Strassennetz als Teil des Topic Transportation des swissTLMRegio Produktes von swisstopo beschreibt die verschiedenen Elemente im Zusammenhang mit dem Verkehr / Transport. Es gibt Informationen über: Zollämter (CustomsOffice), wichtige Strassenknoten (Interchange), Auffahrtsrampen (Ramp), Strassen und Wege (Road), Autofähren (Ship) und Verkehrsinformationen zu den Strassen (TrafficInfo). Das detaillierte Verkehrsregime (Abbiegeverbote, Einbahnstrassen, usw.) ist nicht enthalten.

en: The topic Transportation contains different features connected with traffic. There is information about: Customs offices, major road junctions (Interchange), access ramps, roads and streets, car ferries (Ship) and traffic information about roads. The traffic regulation (prohibition of traffic, one-way streets, no turn) is not described.

it: La rete stradale fa parte del topic Transportation del prodotto swissTLMRegio di swisstopo e descrive i diversi elementi relativi al traffico e ai trasporti. Esso fornisce informazioni in merito a: uffici doganali (CustomsOffice), importanti nodi stradali (Interchange), rampe d'accesso (Ramp), strade e sentieri (Road), traghetti per auto (Ship) nonché informazioni sul traffico stradale (TrafficInfo). Il regime dettagliato dei trasporti (divieti di svolta, sensi unici ecc.) non è indicato.

fr: swissTLMRegio Transportation Réseau routier

en: swissTLMRegio Transportation road network

it: swissTLMRegio Transportation Rete stradale


swisstlmregio-schutzgebiete

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: swisstlmregio-schutzgebiete

de: schutzgebiet grenze nationalpark geographisches-informationssystem gis-geografisches-informationssystem landschaftsmodell schutzgebiete bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Sites protégés swissTLMRegio"

de: WMS-BGDI Dienst, Layer "Schutzgebiete swissTLMRegio"

en: WMS-FSDI service, layer "Protected Areas swissTLMRegio"

it: Servizio WMS-IFDG, strato "Siti protetti swissTLMRegio"

fr: Service WMTS-IFDG, couche , Layer "Sites protégés swissTLMRegio"

de: WMTS-BGDI Dienst, Layer "Schutzgebiete swissTLMRegio"

en: WMTS-FSDI service, layer "Protected Areas swissTLMRegio"

it: Servizio WMTS-IFDG, strato "Siti protetti swissTLMRegio"

fr: Shop

de: Shop

en: Shop

it: Shop

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: Limites administratives: limites des sites protégés de la Suisse et de l'étranger.

de: Hoheitsgrenzen: Grenzen von Schutzgebieten der Schweiz und des Auslands.

en: Territorial boundaries: Boundaries of protected areas in Switzerland and in neighbouring countries.

it: Confini amministrativi: limiti dei siti protetti in Svizzera e all'estero

fr: Office fédéral de topographie swisstopo

de: Bundesamt für Landestopografie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

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

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

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

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

fr: swissTLMRegio Sites protégés

de: swissTLMRegio Schutzgebiete

en: swissTLMRegio Protected Areas

it: swissTLMRegio Sitti protetti


swisstlmregio

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

de: Verkehr

title_for_slug: swisstlmregio

fr: swissTLMRegio est un modèle bidimensionnel du territoire qui restitue les objets naturels et construits du paysage au format vectoriel. Grâce à son haut degré de généralisation, il constitue un produit de géodonnées de référence pour des travaux d'ensemble au niveau régional et national. swissTLMRegio décrit plus d'un million d'objets par leur position, leur forme, leurs relations avec leur voisinage (topologie), le type d’objet qu'ils représentent ainsi que d'autres attributs descriptifs. swissTLMRegio est composé de six groupes thématiques (Topics) qui comprennent chacun différentes classes d'objets (Feature Classes): Transportation (transport), Hydrography (hydrographie), Landcover (couverture du sol), Buildings (bâtiments), Miscellaneous (divers), Names (noms).

de: swissTLMRegio ist ein zweidimensionales Landschaftsmodell, welches die natürlichen und künstlichen Objekte der Landschaft im Vektorformat wiedergibt. Mit seinem hohen Generalisierungsgrad stellt es einen Referenzdatensatz für Übersichtsarbeiten auf regionaler und nationaler Ebene dar. swissTLMRegio beschreibt von über einer Million Objekten die Lage, die Form, die Nachbarschaftsbeziehungen (Topologie), die Objektart, welche sie repräsentieren, sowie andere Sachattribute. swissTLMRegio besteht aus 6 thematischen Gruppen (Topics), wovon jede verschiedene Objektklassen umfasst: Transportation (Verkehr), Hydrography (Gewässer), Landcover (Bodenbedeckung), Buildings (Gebäude), Miscellaneous (Verschiedenes), Names (Namen).

en: swissTLMRegio is a 2D landscape model, which represents the natural and man-made features of the landscape in vector format. With its high generalisation grade it is a reference dataset for applications requiring a regional or national overview. swissTLMRegio describes more than one million objects with their location, shape and neighbourhood connections (topology) as well as the object type and further attributes. swissTLMRegiois composed of 6 thematic topics. Each topic contains one or more feature classes: Transportation, Hydrography, Landcover, Buildings, Miscellaneous, Names.

fr: swissTLMRegio

de: swissTLMRegio

en: swissTLMRegio

it: swissTLMRegio