maintainer: Albrecht von Boetticher

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

en: debrisInterMixing for OF-Version 6

en:
Please install OpenFOAM 7 on a UBUNTU Linux system following the instructions given in readme_debrisintermixing-7.pdf
After a successful OpenFOAM installation, copy the applications-Folder from putMyContent-.zip into the OpenFOAM-User directory and follow the instructions in readme_debrisintermixing-7.pdf to install debrisInterMixing 7.

If you use UBUNTU 24-04 you might have troubles getting openmpi, I attached a modifiesd instruction installtionOF7Ubuntu20.04.5LTS.txt for a workaround.

en: These are the installation instructions for debrisInterMixing4

en: Installation Instructions for debrisInterMixing-6

en: These are the installation instructions for debrisInterMixing6

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

en:
Here debrisInterMixing until version 7 is provided for download. Further versions as well as installation instructions and tutorials and discussion forums (mostly in german) can be acessed at murgang.org (choose "als Gast anmelden" and then scroll to the bottom). The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.

For a recent summary on applications see the DFHM8 contribution at https://www.e3s-conferences.org/articles/e3sconf/abs/2023/52/e3sconf_dfhm82023_02024/e3sconf_dfhm82023_02024.html - DOI: https://doi.org/10.1051/e3sconf/202341502024

UPDATE: DebrisInterMixing for OpenFOAM-7 is available, please contact albrecht.vonboetticher@wasserbau.ch. DebrisInterMixing with OpenFOAM-10 is ready but not yet validated.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Three-dimensional debris flow simulation tool debrisInterMixing


rorcc

maintainer: Tobias Wechsler

title_for_slug: rorcc

en: run-of-river-power-plants environmental-flow hydropower climate-change design-discharge

state: active

type: dataset

en: RoRCC

en:
The dataset “RoRCC” consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
-	metadata on the RoR power plants under consideration
-	annual and seasonal production scenarios differentiated into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)
-	annual and seasonal production loss due to environmental flow requirements
-	annual and seasonal the technical increase potential (via design discharge optimisation)
-	annual and seasonal changes in the hydrological cycle for the three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)

format: XLS

en:
The dataset "RoRCC" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle.

climate-change

display_name: climate-change

design-discharge

display_name: design-discharge

environmental-flow

display_name: environmental-flow

hydropower

display_name: hydropower

run-of-river-power-plants

display_name: run-of-river-power-plants

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

it: Istruzione, cultura e sport

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

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


maintainer: Nander Wever

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

en: List of SnowMicroPen measurements

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

format: SERVICE

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

en: SnowMicroPen pts files and processed txt files

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

en: Jupyter notebook for processing the SnowMicroPen files.

en: Documentation SnowMicroPen measurements

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

en: Manual snow pits and other snow density measurements

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

antarctica

display_name: antarctica

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snow-density-profile

display_name: snow-density-profile

snowmicropen

display_name: snowmicropen

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


en: shortwave-radiation meteo-station time-series air-temperature precipitation relative-humidity wind-speed speed2zero climate-change

en: Data link

media_type: text/csv

format: CSV

en:
This dataset provides 50 years of seasonal synthetic hourly time series for five meteorological variables: incoming shortwave radiation, total precipitation, relative humidity, 2-meter air temperature and wind speed.

The data are generated from observational records (1990–present) from nine MeteoSwiss stations (ABO, BAS, BER, LUG, PUY, SCU, SIO, STG, WFJ). We use a sampling approach that preserves both the temporal structure and inter-variable dependencies. Specifically, the time series are constructed by drawing 7-day blocks from historical observations, ensuring realistic short-term variability and maintaining the physical coherence between variables.

The synthetic sequences are constrained to follow daily temperature change trajectories corresponding to three future climate scenarios for the period 2040–2070: RCP2.6, RCP8.5 and RCP0: a counterfactual scenario with no long-term warming trend, but with temperature variability consistent with the RCP2.6 one.
The temperature constraints are derived from projections downscaled at the staiton level, available at: https://www.envidat.ch/#/metadata/climate-change-scenarios-at-hourly-resolution

air-temperature

display_name: air-temperature

meteo-station

display_name: meteo-station

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

shortwave-radiation

display_name: shortwave-radiation

time-series

display_name: time-series

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Meteorological Time Series Aligned with Projected Temperature Changes


swiss-fluxnet-site-lageren

maintainer: EnviDat Support

title_for_slug: swiss-fluxnet-site-lageren

en: meteorological-measurements greenhouse-gas swiss-fluxnet swiss-forest-lab flux eddy-covariance forest

en: Data access

media_type: text/html

en: The flux and meteo data of the Swiss FluxNet site Lägeren are openly available from the European Fluxes Database Cluster.

format: HTML

en: Site description

en:
The Swiss FluxNet Site Lägeren is a managed mixed deciduous mountain forest located on the steep Lägeren mountain (NW of Zurich, Swiss Plateau). The forest is highly diverse, dominated by beech, but also including ash, maple, spruce and fir trees. Eddy covariance flux measurements were started in April 2004. The site was part of the international CarboEurope IP network and the National Air Pollution Monitoring Network (NABEL). In addition to Swiss FluxNet, the site is part of the Long-term Forest Ecosystem Research (LWF) of WSL and the biological drought and growth indicator network (TreeNet) of WSL.

Measurements

- Ecosystem flux measurements of CO2, H2O vapour are performed with the eddy-covariance method. This method is based on measurements of trace gas mixing ratios, using infrared gas analyzers (for CO2, H2O vapor), combined with wind speed and wind direction measurements, using 3D sonic anemometers. To resolve the short-term turbulent fluctuations in the atmosphere, very fast measurements are needed: we measure at 10-20 Hz, i.e., 10-20 times per second. To assess the energy budget of each ecosystem, also radiation sensors and soil climate profiles are installed at the site.
- Sub-canopy eddy fluxes (CO2, H2O), soil respiration campaigns
- Continuous CO2 profile measurements.
- Auxiliary micrometeorology and soil climate measurements.

Data availability

All data are available from the European Fluxes Database Cluster, but are also part of Fluxnet2015 dataset.

Data policy

ICOS data license:
[https://www.icos-cp.eu/data-services/about-data-portal/data-license](https://www.icos-cp.eu/data-services/about-data-portal/data-license)

Detailed site info:
[https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae//](https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae/)

eddy-covariance

display_name: eddy-covariance

flux

display_name: flux

forest

display_name: forest

greenhouse-gas

display_name: greenhouse-gas

meteorological-measurements

display_name: meteorological-measurements

swiss-fluxnet

display_name: swiss-fluxnet

swiss-forest-lab

display_name: swiss-forest-lab

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: Swiss FluxNet Site Lägeren


en: bombus-pasquorum rural macronutrients basel nutrient-intake foraging-behaviour lad-use-chages zurich pollen-metabarcoding dietary-patterns bees urban bern bombus-lapidarius bumblebees

en:
The dataset contains the filtered plant composition1 (removing species with too low relative abundances) and the relative abundance obtained from DNA metabarcoding on pollen samples for both the leg-baskets and the body. The dataset contains the following columns:
- SampleID: Combining bumblebee ID, location, landscape and replica
- Abundance: numeric, relative abundance
- BumblebeeID: numerical ID for each bumblebee individual within a location, landscape and replicate sampling place.
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels: A-E.
- LocationLandscape:
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Transportation_structure: bumblebee pollen transportation structure, levels: B = Body; L = leg-baskets (i.e. corbicula)
- Kingddom: taxonomic
- Phylum: taxonomic
- Order: taxonomic
- Family: taxonomic
- Genus: taxonomic
- Species: plant sicentific name
-Binomial_abundance: Logic, indicating if the plant species is included (1).
The raw metabarcoding data is archived in NCBI project PRJNA1137320

en:
The dataset contains the amino acid content and ratios for the two bumblebees. Measures are taken only from pollen from the leg-baskets. SampleID is not the same as in the metabarcoding, several samples from different bumblebees were merged within a Location ,Landscape and Replica. Not for all the samples there is information on both amino acids and fatty acids. The columns are:
- SampleID_chemical: The ID for chemical analyses
- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels: A-E.
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- LocationLandscape: Combining location and landscape
- Asp, Thr, ..., Arg: Content of individual amino acids. Amino acids are written as abbreviated names. FUll names be checked here: https://en.wikipedia.org/wiki/Amino_acid
- sum: total sum of amino acid content (mg)
- sumessential: total sum essential amino acids (mg)
-sumnon-essential: total sum non-essential amino acids (mg)
- proportionnonessentialessential: proportion between essential and non-essential amino acids.

en:
Processed data. The dataset contains the functional diversity metrics based on the plant composition from the leg-baskets per bumblebee individual. It contains:
- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels: A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Fric.w: Weighted functional richness
-Fric: functional richness
-FEve.w: Weighted functional evenness
- FEve: functional evenness
- FDiv.w: weighted functional divergence
- FDiv: functional divergence

en:
The dataset contains the information on the 16 study sites:
- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels: A-E.
- Site_ID: combination of location, landscape and replicate
- X: X coordinate, WGS84
- Y: Y coordinate WGS84
- Plant S in landscape: Plant species richness within the 800 m calculated using both information from the Global Biodiversity Information. Facility (GBIF) and InfoFlora (www.infoflora.ch).
- % Buildings: the proportion of buildings and other impervious surfaces within 800 m radius.
- % Agricultural: the proportion of agricultural land and other impervious surfaces within 800 m radius.
- % Water: the proportion of water and other impervious surfaces within 800 m radius.
- % Meadows & grasslands: the proportion of meadows and grasslands and other impervious surfaces within 800 m radius.
The raw metabarcoding data is archived in NCBI project PRJNA1137320.

en:
Processed data. The dataset contains the phylogeneitc diversity metrics based on the plant composition from the leg-baskets per bumblebee individual. It contains:
- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels: A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- PVar: phylogenetic variance
- PRic: Phylogenetic richness
- PEve: Phylogenetic evenness
- PClu: Phylogenetic clustering

en:
The dataset contains the fatty acid content and ratios for the two bumblebees. Measures are taken only from pollen from the leg-baskets. SampleID is not the same as in the metabarcoding, several samples from different bumblebees were merged within a Location ,Landscape and Replica. Not for all the samples there is information on both amino acids and fatty acids. The columns are:
- SampleID_chemical: The ID for chemical analyses
- Location: the three Swiss cantons studied. Levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: the two typea of human-dominated ecosystems, nested to the Swiss canton. Levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) nested with the location and the landscape. Levels: A-E.
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- LocationLandscape: combination between location and landscape
- Caprylic, Pelargonic, ..., Lacceroic: Content of individual fatty acids acids.
- sum: total sum of fatty acid content (mg)
- unsaturatedsum: total sum unsaturated fatty acids (mg)
- saturatedsum: total sum saturated fatty acids (mg)
- omega3sum: total sum Omega 3 fatty acids (mg)
- omega6sum: total sum Omega 6 fatty acids (mg)
- omega9sum: total sum Omega 9 fatty acids (mg)
- omega6to3ratio: ratio Omega 6 to Omega3 fatty acids
-saturatedtounsaturatedration: ratio between saturated and unsaturated fatty acids

en:
Processed data. The dataset contains the plant species richness in the leg-baskets per bumblebee individual. It contains:
- SampleID: Combining bumblebee ID, location, landscape and replica
- Location: canton, levels: Bern =BE; Basel = BS; Zurich =ZH
- Landscape: landscape type, levels: Urban = U; Rural = R
- Replicate: sampling place (800-m buffer) within location and landscape. Levels: A-E.
- LocationLandscape: combining location and landscape
- Bumblebee_species: the two studied species, levels: B.pasquorum; B. lapidarius
- Plant species richness: the number of plant species found in the pollen of the leg-baskets.

en:
The dataset contains the plant trait values obtined from published sources. It contains:
- Kingddom: taxonomic
- Phylum: taxonomic
- Order: taxonomic
- Family: taxonomic
- Genus: taxonomic
- Species: species name
- plant.species: full scientific name
- native_exotic: origin status. As presented in https://www.doi.org/10.16904/envidat.210
- pollination mode: vector of pollination. As presented in https://www.doi.org/10.16904/envidat.210
- Flowering_months_duration: Number of flowering months. As presented in https://www.doi.org/10.16904/envidat.210
- start_flowering: month of the starting of the flowering. As presented in https://www.doi.org/10.16904/envidat.210
- growth_form_category: plant growth form. As presented in https://www.doi.org/10.16904/envidat.210
- plant-height: plant heght in meters. As presented in https://www.doi.org/10.16904/envidat.210
- inflorescence: Logic, plant with single flowers (0) or inflorescences (1). As presented in https://www.doi.org/10.16904/envidat.210
- structural_blossom_class: depicting the accessibility of the flowers. As presented in https://www.doi.org/10.16904/envidat.210
- symmetry: floral symmetry. As presented in https://www.doi.org/10.16904/envidat.210
- nectar: logic, nectar present. As presented in https://www.doi.org/10.16904/envidat.210
- pollen: logic, pollen rewards present. As presented in https://www.doi.org/10.16904/envidat.210
- oil: logic. oil present. As presented in https://www.doi.org/10.16904/envidat.210
- sugar.concentration: the amount of sugar present in the nectar, in mg.
Additional information can be found in https://doi.org/10.1016/j.dib.2021.107243

en:
Data on the diet of urban and rural bumblebees individuals, Bombus lapidarius and Bombus pascuorum, collected in Switzerland (cantons Bern, Basel and Zürich) obtained using metabarconding and chemical analyses from two pollen transportation structures, that is, the body and the leg-baskets (i.e., corbicula). The bumblebees were collected by Egenberger et al., 2019 (https://doi.org/10.5061/dryad.qt8mr4v)
The data contains:
- The composition and relartive abundance of plant species in the body and the leg-baskets, separately.
- The content and ratios of two groups of macronutrients, that is, amino acids and fatty acids.
The dataset contains the data used in the paper "Urban bumblebees diversify their foraging strategy to maintain nutrient intake" as well as unpublished data.

basel

display_name: basel

bees

display_name: bees

bern

display_name: bern

bombus-lapidarius

display_name: bombus-lapidarius

bombus-pasquorum

display_name: bombus-pasquorum

bumblebees

display_name: bumblebees

dietary-patterns

display_name: dietary-patterns

foraging-behaviour

display_name: foraging-behaviour

lad-use-chages

display_name: lad-use-chages

macronutrients

display_name: macronutrients

nutrient-intake

display_name: nutrient-intake

pollen-metabarcoding

display_name: pollen-metabarcoding

rural

display_name: rural

urban

display_name: urban

zurich

display_name: zurich


maintainer: Camille Albouy

en: actinopterygii 12s mitochondrial-dna barcoding teleo-primers atlantic-ocean environmental-dna

media_type: application/pdf

en:
Mitochondrial tree based on the 12s sequences obtained for altantic fish.
This data represent the maximum likelihood phylogenetic tree allowing to assess 1) the clustering of the different sequences generated in
this study and their closest sequences recovered through a MegaBLAST on GenBank, 2) the robustness of the clades and 3) the
phylogenetic dissimilarities through the branch length of the tree among the different sequences. This tree was built with IQtree2
using the best substitution model found by modelFinder. The robustness of the node was evaluated using 1000 ultra-fast bootstrap
(node information indicated on the right of the /) and SH-aLRT procedures (node information indicated on the left of the /), using a hillclimbing nearest neighbor interchange (NNI) search to reduce the risk of overestimating branch supports with ultra-fast Bootstrap
caused by too severe model violations.

format: PDF

en: This file contains the Teleo Barcode for the Atlantic fishes collected during a French scientific survey (Evhoe) for stock assessment.

en: This file contains the metadata associated with each scientific survey

en: This file contains the metadata associated with each 12 s mitochondrial sequence.

media_type: application/zip

format: ZIP

en: This file contains the 12s mitochondrial sequences for the Atlantic fishes collected on a French scientific survey (Evhoe) for stock assessment.

en:
The global biodiversity crisis driven by anthropogenic pressures significantly threatens marine ecosystems functioning. The rate of climate change and the impacts of anthropogenic pressures outpacing the capabilities of our observation tools, stresses the need to develop new methods to assess these rapid modifications. Environmental DNA (eDNA; DNA traces released by organisms) metabarcoding has emerged as a non-invasive method that has been widely developed over the last decade. Thanks to a large spatio-temporal coverage, high detection of rare species and its time and cost effectiveness, eDNA metabarcoding represents a promising biomonitoring tool. However, capturing fish diversity using eDNA requires a high-quality genetic reference database, which we are currently still lacking. For the South European Atlantic shelf area, we estimated that only 41% of the fish species present were recorded in the available eDNA reference databases. Improving reference databases can notably rely on opportunistic sampling enabling the reporting of sequences for new species. Therefore, the data provided here consists of barcoding 95 species of ray-finned and cartilaginous fishes over the 12S mitochondrial DNA gene. We generated 168 12S barcodes from fishes that were sampled in the Bay of Biscay (Northeast Atlantic, France) between 2017 and 2019. We also provided the “Teleo” barcode associated with a specific 12S region for each individual. In addition to the sequences, we provided for each individual the taxonomy, the details associated with the barcode (Genbank accession number, chromatograms), a photograph, as well as 5 ecomorphological measures and 11 life-history traits. These traits document several functions such as dispersion, diet, habitat use, and position in the food web. Furthermore, we provided the metadata of each sampling site (date, station, sampling hour, gear, latitude, longitude, depth) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature).
This data set is highly valuable to improve the Northeast Atlantic eDNA genetic database, thus helping to better understand the effects of environmental forcing in the Bay of Biscay, a transition zone housing mixed assemblages of boreal, temperate and subtropical fish species susceptible to display variability in functional traits to adapt to changing conditions.

actinopterygii

display_name: actinopterygii

atlantic-ocean

display_name: atlantic-ocean

barcoding

display_name: barcoding

environmental-dna

display_name: environmental-dna

mitochondrial-dna

display_name: mitochondrial-dna

teleo-primers

display_name: teleo-primers

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: ATLFISHREF A 12S mitochondrial reference dataset for metabarcoding Atlantic Fishes frequently caught during scientific surveys in the Bay of Biscay


greenland-shrubs-and-microclimate

maintainer: Nathalie Chardon

title_for_slug: greenland-shrubs-and-microclimate

en: sdm field-data validation accessible-shrub-forest climate arctic

en: GitLab Repository

en: Zip drive of GitLab repository contents (https://gitlab.com/nathaliechardon/gl_microclim).

en: Kangerluarsunnguaq

en:
 Collected August 2020 (PI: Nathalie Isabelle Chardon)

These data collected August 2020 (PI: Nathalie Isabelle Chardon). Please contact N. I. Chardon (nathalie.chardon_at_gmail.com) for individual quadrat (i.e. 1 m x 1 m) data, which are averaged at the 90 m spatial grid here.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

id: sampling zone and unique 90 m grid identifier

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

date: sampling day.month.year

 Species presence [1] or absence [0] at grid level

alcr: _Alnus crispa_

bena: _Betula nana_

dila: _Diapensia lapponica_

emni: _Empetrum nigrum_

hahy: _Harimanella hypoides_

lopr: _Loiseleuria procumbens_

oxpa: _Oxycoccus palustre_

phca: _Phyllodoce caerulea_

rhod: _Rhododendron_ sp.

saar: _Salix arctica_

sagl: _Salix glauca_

sahe: _Salix herbacea_

vaul: _Vaccinium uliginosum_

drin: _Dryas integrifolia_

thpr: _Thymus praecox_

 Habitat characteristics [% cover]

shrub: all shrub species

gram: graminoids

forb: forbs

bryo: bryophytes

lich: lichens

litt: litter

bare: bare ground

stone: stones (> 2 cm)

org: organic crust

 Shrub species height (maximum vegetative height) [mm] and cover (estimated in 1x1 m quadrat) [%]

alcr_c: _Alnus crispa_ cover

alcr_h: _Alnus crispa_ height

bena_c: _Betula nana_ cover

bena_h: _Betula nana_ height

dila_c: _Diapensia lapponica_ cover

dila_h: _Diapensia lapponica_ height

emni_c: _Empetrum nigrum_ cover

emni_h: _Empetrum nigrum_ height

hahy_c: _Harimanella hypoides_ cover

hahy_h: _Harimanella hypoides_ height

lopr_c: _Loiseleuria procumbens_ cover

lopr_h: _Loiseleuria procumbens_ height

oxpa_c: _Oxycoccus palustre_ cover

oxpa_h: _Oxycoccus palustre_ height

phca_c: _Phyllodoce caerulea_ cover

phca_height: _Phyllodoce caerulea_ height

rhod_c: _Rhododendron_ sp. cover

rhod_h: _Rhododendron_ sp. height

saar_c: _Salix arctica_ cover

saar_h: _Salix arctica_ height

sagl_c: _Salix glauca_ cover

sagl_h: _Salix glauca_ height

sahe_c: _Salix herbacea_ cover

sahe_h: _Salix herbacea_ height

vaul_c: _Vaccinium uliginosum_ cover

vaul_h: _Vaccinium uliginosum_ height

drin_c: _Dryas integrifolia_ cover

drin_h: _Dryas integrifolia_ height

 Community characteristics

rich_pa: shrub species richness at grid level

rich: shrub species richness averaged across 3 1x1 m sampling quadrats per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on _Betula nana_ (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on _Salix glauca_ (i.e. summed cover of non-_S. glauca_ species) [% cover]

ht_cwm: maximum shrub canopy height (i.e. community weighted mean by abundance of maximum shrub height) [mm]

 Topography and terrain wetness (calculated from)

tcws: Tasseled Cap Wetness component (Sentinal images)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

 Downscaled climate (time series 1984 – 2013)

insoljja: average June-August insolation [MJ cm-2 yr-1]

precipmam: cumulative March-May precipitation [mm]

tempcont: yearly maximum – minimum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

precipjja: cumulative June-August precipitation [mm]

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

en: Nuup Kangerlua

en:
 Collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen)

These data collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen). Please contact J. Nabe-Nielsen (jnn_at_ecos.au.dk) to request access to data on all surveyed shrub species. Available here are only data used in Chardon et al. 2022.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

year: sampling year

alt: average altitude of grid as recorded during field surveys [m]

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

 Species presence [1] or absence [0] at grid level

pa_bena: _Betula nana_

pa_sagl: _Salix glauca_

 Shrub species cover (calculated from pin hits in 0.7 x 0.7 m frame, based on total of 25 hits) [%]

cov_bena: _Betula nana_ cover

cov_sagl: _Salix glauca_ cover

 Downscaled climate (time series 1984 – 2013)

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

tempcont: yearly maximum – minimum temperature [ºC]

precipmam: cumulative March-May precipitation [mm]

precipjja: cumulative June-August precipitation [mm]

insoljja: average June-August insolation [MJ cm-2 yr-1]

 Topography and terrain wetness (calculated from)

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

tcws: Tasseled Cap Wetness component (Sentinal images)

 Community characteristics

rich: shrub species richness averaged across pin-point frames per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on Betula nana (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on Salix glauca (i.e. summed cover of non-_S. glauca_ species) [% cover]

en:
 Study Aim

We collected these data to alternatively train and validate high resolution (~ 90 m) Species Distribution Models (SDMs) and Species Abundance Models (SAMs) for _Betula nana_ L. (dwarf birch, Betulaceae) and _Salix glauca_ L. (grey willow, Salicaceae) in Southwest Greenland to assess how well such models can predict local-scale patterns.

 Data Description

Individual (presence-absence, abundance, maximum vegetative height) and community (species composition, maximum canopy height) shrub data for two fjords near Nuuk, Southwest Greenland. Also provided are corresponding downscaled climate data as well as calculated topographic and terrain wetness indicator variables.

 Nuup Kangerlua (Godthåbsfjord)

_Betula nana_ and _Salix glauca_ presence-absence, abundance, community species richness

 Kangerluarsunnguaq (Kobbefjord)

Shrub presence-absence, abundance, maximum vegetative height, community composition, maximum shrub canopy height

 Methods

 Field survey in Nuup Kangerlua

We conducted a stratified systematic plant survey along the length of Nuup Kangerlua (NK) fjord in Soutwesth Greenland (Fig. 1 in Chardon et al. 2022; following Nabe-Nielsen et al., 2017). At five distinct sites, we sampled along elevational gradients to collect data on presences, absences, abundance, and species composition of all woody species using a 0.7 x 0.7 m pin-point frame (Fig. 1e in Chardon et al. 2022). For model training, we converted these pin-point data to percent cover estimates based on the number of pins dropped (n = 25 per plot) and averaged them across the 119 spatio-climatic grids (see next section) corresponding to the plot locations (for details see Appendix S2 in Chardon et al. 2022).

 Field survey in Kangerluarsunnguaq

We conducted a random stratified plant survey in Kangerluarsunnguaq (K) fjord in Southwest Greenland. We used a preliminary Species Abundance Model trained with summed pin counts of _Betula nana_ in NK fjord (see Fig. S1.3 in Chardon et al. 2022) to stratify the ~ 27 x 17 km fjord landscape into low, medium, and high abundances classes. We randomly selected 90 x 90 m spatio-climatic grids to survey in each class for a total of 200 grids, ensuring that they were accessible by foot or boat (for details see Appendix S2 in Chardon et al. 2022). Within each grid, we sampled within three 1 m2 quadrats arranged in a randomly rotated equilateral triangle centered on the mid-point of the cell. We used a gridded sampling quadrat with 1% delineations (Fig. 1h in Chardon et al. 2022) to record woody species presences, absences, and composition, estimated percent cover, and measured maximum shrub species vegetatitve height. At every plot, we also visually scanned the area in a 20 m radius from the plot and recorded the presence of any additional shrub species to estimate grid-level species richness. As in NK fjord, we averaged these data at the grid level (for details see Appendix S2 in Chardon et al. 2022).

 Biotic variables

We calculated biotic microscale variables from the plant survey data collected in NK and K fjords. We calculated shrub species richness, diversity, and competition (i.e. sum of non-B. nana or non-S. glauca pin hits or percent cover). In K fjord, we also calculated canopy height as the community weighted mean (by abundance) of maximum vegetative shrub height.

 Climate variables

We computed high resolution temperature, precipitation, and insolation for local scale data for the study area by statistically downscaling climate time series (1982 - 2013) from the monthly CHELSA data (Karger et al. 2017). We downscaled these data from 30 arc sec (~ 400 m at the latitude of our study) to our target grid size of ~ 90 m with geographic weighted regression and using the MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model (DEM) v. 1 (Howat et al., 2014, 2015). We then calculated 30-year averages of the climate parameters: average summer (June – August) maximum temperature, yearly maximum temperature, yearly minimum temperature, temperature continentality (yearly max. - min. temperatures), cumulative Spring (March – May) precipitation, cumulative summer precipitation, and average summer incident solar radiation (henceforth, insolation) (for calculation details see Appendices S2, S3 in Chardon et al. 2022 and Appendix S2 in von Oppen et al. 2021).

 Topography and terrain wetness indicator variables

We calculated several topographic and terrain wetness indices at a local scale. We derived slope, aspect, and the SAGA wetness index (hereafter TWI; Boehner et al., 2002; Boehner and Selige, 2006) from the GIMP DEM. TWI is a measure of how ‘wet’ an area is, based on water drainage from the surrounding landscape. We also calculated the tasseled cap wetness component (hereafter TCW, Crist and Cicone 1984) from satellite images (for details see Appendices S2, S3 in Chardon et al. 2022) as an alternative measure of wetness.

 Computer code

Attached as zip file and available on GitLab (https://gitlab.com/nathaliechardon/gl_microclim)

 Third-party data

Data used to calculate climate, topography, and terrain wetness indicator variables are publicly available (see Appendix S2 in Chardon et al. 2022 for all data references).

accessible-shrub-forest

display_name: accessible-shrub-forest

arctic

display_name: arctic

climate

display_name: climate

field-data

display_name: field-data

sdm

display_name: sdm

validation

display_name: validation

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: Greenland shrubs and microclimate


maintainer: James W. Kirchner

en: stable-water-isotopes deuterium precipitation plynlimon catchment streamflow tracer chloride

en: 7-hourly stable water istopes

media_type: text/plain

en: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).

format: TXT

mimetype: text/plain

en: Data Set Documentation

en: This file contains a documentation of the data sets, including references to other helpful documentations.

mimetype: application/pdf

en: Weekly stable water isotopes

en: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).

en: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

streamflow

display_name: streamflow

tracer

display_name: tracer

en: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK


maintainer: Michael Lehning

en: snow snowpack winter-tourism terrestrial-laser-scanning snow-farming snow-conservation

en: Fluela .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Flüela heap

en: HS Martell autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en: Fluela .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Windtunnel and DAV.

en: Martell .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Hintermartell.

en: HS Martell spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en: Martell .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Martell heap

en: HS Fluela spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903

en: HS Fluela autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903
Nodata: -9999

en:
Two data sets obtained for snow farming projects (Fluela, Davos, CH and Martell, IT) in 2015.

The data set contains for each site:

* 10 cm GIS raster of snow depth calculated from terrestrial laserscanning surveys (TLS) in the end of winter season (April/May)

* 10 cm GIS raster of snow depth calculated from TLS in the end of summer season (October)

Input files for SNOWPACK model:

* .sno: snow profile at the end of winter

* .smet: meteorological data measured by weather stations in the area

For more details see Grünewald, T., Lehning, M., and Wolfsperger, F.: Snow farming: Conserving snow over the summer season, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-93, in review, 2017.

snow

display_name: snow

snow-conservation

display_name: snow-conservation

snow-farming

display_name: snow-farming

snowpack

display_name: snowpack

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

winter-tourism

display_name: winter-tourism

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Snowfarming data set Davos and Martell 2015


en: climate-change-impact discharge model water-temperature hydrology

en: Data access

en:
This work presents the first extensive study of climate change impacts on rivers temperature in Switzerland. Results show that even for low emissions scenarios, water temperature increase will lead to adverse effect for both ecosystems and socioeconomic sectors (such as nuclear plant cooling) throughout the 21st century. For high emissions scenarios, the effect will be worsen. This study also shows that water warming in summer will be more important in Alpine regions than in lowlands.
This material is distributed under CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/legalcode).

climate-change-impact

display_name: climate-change-impact

discharge

display_name: discharge

hydrology

display_name: hydrology

model

display_name: model

water-temperature

display_name: water-temperature

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: Dataset for: Future water temperature of rivers in Switzerland under climate change investigated with physics-based models


en: snow-hydrology snow snow-cover alpine-precipitation alpine3d alpine3d-simulations snow-distribution

en: ADS datasets and simulation inputs

en: The file contains the ADS datasets of snow depth and input data used for simulations.

mimetype: application/zip

en:
Dataset (Model input, snow distribution and validation) for the precipitation scaling paper, which should be cited along with the data set citation.

This data is useful for distributed hydrological modelling or other tasks that involve the study of snow distribution and precipitation in the high Alpine.

The format of the data is for Alpine3D (models.slf.ch) model runs but other models could be used, too.

Please cite:

_Vögeli, C., Lehning, M., Wever, N., Bavay M., 2016: Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution., Front. Earth Sci. 4: 108. doi: 10.3389/feart.2016.00108._

Dataset is provided as a single zip file.
The archive contains two directories, the valuable distributed snow depth maps for the landscape Davos and the simulation input.
The archive also contains the file: "ReadMeMetadataDataSetPrecipitationScaling" which explains the data structure.

alpine-precipitation

display_name: alpine-precipitation

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

en: Precipitation Scaling Data Set (Vögeli et al., Frontiers)


ceilometer-klosters

title_for_slug: ceilometer-klosters

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

en: Ceilometer data Klosters

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

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

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

klosters

display_name: klosters

raclets

display_name: raclets

vertical-visibility

display_name: vertical-visibility

en: Ceilometer Klosters


en: fish-composition marseille edna mediterraneaen teleo marine

en:
Description: Fish environmental DNA data set collected in 2021 in the Calanques National Park
The eDNA samples were collected in 2021 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the summer (June to August)and fall (mid-September to November) seasons, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To take into account the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

edna

display_name: edna

fish-composition

display_name: fish-composition

marine

display_name: marine

marseille

display_name: marseille

mediterraneaen

display_name: mediterraneaen

teleo

display_name: teleo

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Environmental DNA Marine France Calanques 2021


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

en: climate realizations

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

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty

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


en: population-evolution biological-control dryocosmus-kuriphilus torymus-sinensis southern-switzerland pest-invasion castanea-sativa

en:
Data has been collected from summer 2011 to 2016.

Main reasons for NA values:

-	D. kuriphilus still not arrived in the site.
-	No galls were found during the field sampling.
-	Site has not been sampled in the correspondent year because of time, weather or money constrains.
-    T. sinensis not found in the galls

Variable description:

Year = sampling year.

Coordinate, elevation, slope, aspect = average site characteristics.

ts_arrival = T. sinensis arrival year.

dk_arrival = D. kuriphilus arrival year.

dk_parasitism_by_ts = D. kuriphilus parasitism rate by T. sinensis. Formula: (no. of T. sinensis/ no. of D. kuriphilus chambers) * 100 at gall level.

dk_infestation = Percentage of attacked buds. Formula: no. of attacked buds / no. of total developed buds*100 (as presented in Kotobuki et al. 1985) at shoot level.

ts_per_bud = number of alive T. sinensis individual calculated at bud level.

dk_per_bud = number of alive D. kuriphilus individual calculated at bud level.

dk_pot_per_bud = overall number (dead and alive) D. kuriphilus individual calculated at bud level.

total_gall_nr_per_bud = average gall number per bud.

chamber_per_galls = average D. kuriphilus chamber number per gall.

For details see the submitted publication with the same name

References
Kotobuki, K., Mori, K. and Sato, Y. (1985) ‘2 methods to estimate the tree damage by chestnut gall wasp Dryocosmus-kuriphilus’, Bulletin of the fruit tree research station A (Yatabe), 2(12), pp. 29–36.

mimetype: text/csv

en:
This dataset contains the population evolution of a pest and its biocontrol agent in terms of presence proportion at gall level and absolute number of insects.

The study area extends from the Cuneo region (Piedmont, Italy) to southern Switzerland. In order to provide a complete range of data covering the entire process from the pest arrival to complete biological control by its natural enemy T. sinensis, a space-for-time substitution approach has been adopted so as to create a temporal gradient of the epidemic stages over the whole study area.

The southernmost Swiss sites roughly represent the arrival and establishment of the pest without the presence of the natural enemy, the central ones the early epidemic stage and the epidemic peak, whereas the northern ones the end of the epidemic with the beginning of the biocontrol. The Italian ones represent the beginning of the equilibrium between the two population as well as the situation with stable T. sinensis populations on the long term.

These data are used in the paper entitled: Torymus sinensis local and regional early population dynamics in the Insubrian and Piedmont regions

biological-control

display_name: biological-control

castanea-sativa

display_name: castanea-sativa

dryocosmus-kuriphilus

display_name: dryocosmus-kuriphilus

pest-invasion

display_name: pest-invasion

population-evolution

display_name: population-evolution

southern-switzerland

display_name: southern-switzerland

torymus-sinensis

display_name: torymus-sinensis


national-prioritare-arten

title_for_slug: national-prioritare-arten

name: Federal Office for the Environment / Biodiversity and Landscape Division

fr: biodiversite conservation-des-especes

de: biodiversitat artenforderung

it: promozione-delle-specie biodiversita

fr: Liste numérique des espèces prioritaires  au niveau national

de: Digitale Liste der National Prioritären  Arten

it: Lista digitale delle specie prioritari a livello nazionale

fr: Cette liste fait partie intégrante de l'aide à l'exécution "OFEV 2025 : Liste des espèces suisses prioritaires au niveau national. Espèces prioritaires pour la conservation en Suisse (État 2022). Office fédéral de l’environnement, Berne. L’environnement pratique n° 2558 : 49 p." et contient des informations importantes pour la mise en œuvre.

de: Diese Liste ist Teil der Vollzugshilfe "BAFU 2025: Liste der National Prioritären Arten der Schweiz. In der Schweiz prioritär zu fördernde Arten (Stand 2022). Bundesamt für Umwelt, Bern. Umwelt-Vollzug Nr. 2558: 49 S." und enthält umsetzungsrelevante Informationen.

it:
La Lista digitale è parte integrante del aiuto all’esecuzione "UFAM 2025: Lista delle specie in Svizzera prioritari a livello nazionale. Specie prioritari da promuovere in Svizzera (Stato 2022). Ufficio federale dell’ambiente, Berna. Pratica ambientale n. 2558: 49 pagg."
e contiene informazioni rilevanti per l’attuazione.

fr:
Cette publication présente la liste actualisée des espèces prioritaires au niveau national, dans
sa version 2025. La priorité nationale se fonde à la fois sur le degré de menace au niveau
national et sur la responsabilité internationale de la Suisse. Les améliorations
méthodologiques proposées et les précisions relatives à la conservation des espèces rendent
la liste plus cohérente et en facilitent l’applicabilité. Au total, 2999 taxons sont considérés
comme prioritaires au niveau national. La nécessité de prendre des mesures a été déterminée
sur la base du niveau d’action, du degré d’urgence de la mise en œuvre des mesures ainsi
que de la nécessité de renforcer le suivi des populations.

de:
Diese Publikation beinhaltet die aktualisierte Liste der National Prioritären Arten 2025. Die
nationale Priorität wird durch eine Kombination von nationalem Gefährdungsgrad und
internationaler Verantwortung der Schweiz bestimmt. Methodische Verbesserungen und
Angaben zur Förderung der Arten machen die Liste konsistenter und erleichtern die
Anwendbarkeit in der Praxis. Insgesamt gelten 2999 Arten als national prioritär. Der
Handlungsbedarf wurde anhand der Handlungsebene, der zeitlichen Dringlichkeit für die
Umsetzung von Massnahmen sowie der Notwendigkeit einer verstärkten Überwachung der
Bestände ermittelt.

en:
This publication presents the 2025 updated list of priority species at the national level. National
priority is based on both the degree of threat at the national level and Switzerland's
international responsibility. Methodological improvements and guidance on species
conservation make the list more coherent and easier to use. A total of 2,999 taxa are
considered a national priority. The need for measures was determined based on the level of
action required, the urgency of implementation and the need for improved population
monitoring.

it:
La presente pubblicazione comprende la Lista delle specie prioritarie a livello nazionale aggiornata al 2025. La priorità a livello nazionale è definita sulla base di una combinazione tra la
categoria di minaccia nazionale e la responsabilità della Svizzera a livello internazionale. Alcuni miglioramenti sul piano metodologico nonché informazioni sulla promozione delle specie
rendono la Lista più coerente e più semplice da applicare nella pratica. Nel complesso sono
2999 le specie considerate prioritarie a livello nazionale. La necessità di intervento è stata
determinata sulla base del livello operativo, dell’urgenza temporale nell’attuazione delle misure
e dell’esigenza di rafforzare il monitoraggio delle popolazioni.

artenforderung

display_name: artenforderung

biodiversita

display_name: biodiversita

biodiversitat

display_name: biodiversitat

biodiversite

display_name: biodiversite

conservation-des-especes

display_name: conservation-des-especes

promozione-delle-specie

display_name: promozione-delle-specie

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

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)

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

political_level: confederation

value: DCAT I14Y BAFU

fr: Espèces prioritaires au niveau national

de: National Prioritäre Arten

en: National priority species

it: Specie prioritarie a livello nazionale


author: BFS/OFS

fr: Annuaire statistique de la Suisse 1892

mimetype: text/html

de: Statistisches Jahrbuch der Schweiz 1892

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

spatial: Schweiz

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

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

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

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

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

value: BFS – DCAT Harvester


de: Statistisches Jahrbuch der Schweiz 1893

fr: Annuaire statistique de la Suisse 1893


de: Statistisches Jahrbuch der Schweiz 1891

fr: Annuaire statistique de la Suisse 1891


de: Statistisches Jahrbuch der Schweiz 1910

fr: Annuaire statistique de la Suisse 1910


de: Statistisches Jahrbuch der Schweiz 1917

fr: Annuaire statistique de la Suisse 1917


fr: Annuaire statistique de la Suisse 1922

de: Statistisches Jahrbuch der Schweiz 1922


de: Statistisches Jahrbuch der Schweiz 1909

fr: Annuaire statistique de la Suisse 1909


fr: Annuaire statistique de la Suisse 1924

de: Statistisches Jahrbuch der Schweiz 1924


fr: Annuaire statistique de la Suisse 1941

de: Statistisches Jahrbuch der Schweiz 1941


fr: Annuaire statistique de la Suisse 1938

de: Statistisches Jahrbuch der Schweiz 1938


fr: Annuaire statistique de la Suisse 1945

de: Statistisches Jahrbuch der Schweiz 1945


fr: Annuaire statistique de la Suisse 1915

de: Statistisches Jahrbuch der Schweiz 1915


fr: Annuaire statistique de la Suisse 1934

de: Statistisches Jahrbuch der Schweiz 1934


fr: Annuaire statistique de la Suisse 1942

de: Statistisches Jahrbuch der Schweiz 1942


fr: Annuaire statistique de la Suisse 1914

de: Statistisches Jahrbuch der Schweiz 1914


fr: Annuaire statistique de la Suisse 1920

de: Statistisches Jahrbuch der Schweiz 1920

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor


fr: Annuaire statistique de la Suisse 1935

de: Statistisches Jahrbuch der Schweiz 1935

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

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

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


de: Statistisches Jahrbuch der Schweiz 1926

fr: Annuaire statistique de la Suisse 1926


fr: Annuaire statistique de la Suisse 1930

de: Statistisches Jahrbuch der Schweiz 1930


fr: Annuaire statistique de la Suisse 1913

de: Statistisches Jahrbuch der Schweiz 1913


fr: Annuaire statistique de la Suisse 1908

de: Statistisches Jahrbuch der Schweiz 1908


fr: Annuaire statistique de la Suisse 1944

de: Statistisches Jahrbuch der Schweiz 1944


fr: Annuaire statistique de la Suisse 1931

de: Statistisches Jahrbuch der Schweiz 1931


fr: Annuaire statistique de la Suisse 1918

de: Statistisches Jahrbuch der Schweiz 1918


fr: Annuaire statistique de la Suisse 1898

de: Statistisches Jahrbuch der Schweiz 1898


fr: Annuaire statistique de la Suisse 1932

de: Statistisches Jahrbuch der Schweiz 1932


de: Statistisches Jahrbuch der Schweiz 1925

fr: Annuaire statistique de la Suisse 1925


fr: Annuaire statistique de la Suisse 1927

de: Statistisches Jahrbuch der Schweiz 1927


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902


de: Statistisches Jahrbuch der Schweiz 1936

fr: Annuaire statistique de la Suisse 1936


fr: Annuaire statistique de la Suisse 1923

de: Statistisches Jahrbuch der Schweiz 1923

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor


fr: Annuaire statistique de la Suisse 1916

de: Statistisches Jahrbuch der Schweiz 1916

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


de: Statistisches Jahrbuch der Schweiz 1921

fr: Annuaire statistique de la Suisse 1921

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

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


de: Statistisches Jahrbuch der Schweiz 1900

fr: Annuaire statistique de la Suisse 1900


fr: Annuaire statistique de la Suisse 1928

de: Statistisches Jahrbuch der Schweiz 1928


de: Statistisches Jahrbuch der Schweiz 1896

fr: Annuaire statistique de la Suisse 1896


fr: Annuaire statistique de la Suisse 1906

de: Statistisches Jahrbuch der Schweiz 1906


fr: Annuaire statistique de la Suisse 1907

de: Statistisches Jahrbuch der Schweiz 1907


fr: Annuaire statistique de la Suisse 1904

de: Statistisches Jahrbuch der Schweiz 1904


de: Statistisches Jahrbuch der Schweiz 1933

fr: Annuaire statistique de la Suisse 1933


fr: Annuaire statistique de la Suisse 1903

de: Statistisches Jahrbuch der Schweiz 1903


de: Statistisches Jahrbuch der Schweiz 1937

fr: Annuaire statistique de la Suisse 1937


fr: Annuaire statistique de la Suisse 1899

de: Statistisches Jahrbuch der Schweiz 1899


fr: Annuaire statistique de la Suisse 1979

de: Statistisches Jahrbuch der Schweiz 1979


fr: Annuaire statistique de la Suisse 1989

de: Statistisches Jahrbuch der Schweiz 1989


fr: Annuaire statistique de la Suisse 1961

de: Statistisches Jahrbuch der Schweiz 1961

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor


fr: Annuaire statistique de la Suisse 1948

de: Statistisches Jahrbuch der Schweiz 1948

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


fr: Annuaire statistique de la Suisse 1946

de: Statistisches Jahrbuch der Schweiz 1946

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

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


fr: Annuaire statistique de la Suisse 1984

de: Statistisches Jahrbuch der Schweiz 1984


de: Statistisches Jahrbuch der Schweiz 1991

fr: Annuaire statistique de la Suisse 1991


fr: Annuaire statistique de la Suisse 1974

de: Statistisches Jahrbuch der Schweiz 1974


fr: Annuaire statistique de la Suisse 1982

de: Statistisches Jahrbuch der Schweiz 1982


de: Statistisches Jahrbuch der Schweiz 1969

fr: Annuaire statistique de la Suisse 1969


fr: Annuaire statistique de la Suisse 1978

de: Statistisches Jahrbuch der Schweiz 1978


fr: Annuaire statistique de la Suisse 1975

de: Statistisches Jahrbuch der Schweiz 1975


fr: Annuaire statistique de la Suisse 1996

de: Statistisches Jahrbuch der Schweiz 1996


fr: Annuaire statistique de la Suisse 1993

de: Statistisches Jahrbuch der Schweiz 1993


de: Statistisches Jahrbuch der Schweiz 1971

fr: Annuaire statistique de la Suisse 1971


fr: Annuaire statistique de la Suisse 1963

de: Statistisches Jahrbuch der Schweiz 1963


fr: Annuaire statistique de la Suisse 1962

de: Statistisches Jahrbuch der Schweiz 1962


fr: Annuaire statistique de la Suisse 1956

de: Statistisches Jahrbuch der Schweiz 1956

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor


de: Statistisches Jahrbuch der Schweiz 1954

fr: Annuaire statistique de la Suisse 1954

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


fr: Annuaire statistique de la Suisse 1986

de: Statistisches Jahrbuch der Schweiz 1986

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

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


de: Statistisches Jahrbuch der Schweiz 1990

fr: Annuaire statistique de la Suisse 1990


de: Statistisches Jahrbuch der Schweiz 1987-88

fr: Annuaire statistique de la Suisse 1987-88


de: Statistisches Jahrbuch der Schweiz 1967

fr: Annuaire statistique de la Suisse 1967


fr: Annuaire statistique de la Suisse 1980

de: Statistisches Jahrbuch der Schweiz 1980


fr: Annuaire statistique de la Suisse 1965

de: Statistisches Jahrbuch der Schweiz 1965


fr: Annuaire statistique de la Suisse 1973

de: Statistisches Jahrbuch der Schweiz 1973


fr: Annuaire statistique de la Suisse 1952

de: Statistisches Jahrbuch der Schweiz 1952


fr: Annuaire statistique de la Suisse 1953

de: Statistisches Jahrbuch der Schweiz 1953


de: Statistisches Jahrbuch der Schweiz 1983

fr: Annuaire statistique de la Suisse 1983


fr: Annuaire statistique de la Suisse 1957

de: Statistisches Jahrbuch der Schweiz 1957


fr: Annuaire statistique de la Suisse 1949

de: Statistisches Jahrbuch der Schweiz 1949


de: Statistisches Jahrbuch der Schweiz 1959-60

fr: Annuaire statistique de la Suisse 1959-60


fr: Annuaire statistique de la Suisse 1947

de: Statistisches Jahrbuch der Schweiz 1947

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor


de: Statistisches Jahrbuch der Schweiz 1964

fr: Annuaire statistique de la Suisse 1964

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


fr: Annuaire statistique de la Suisse 1951

de: Statistisches Jahrbuch der Schweiz 1951

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

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


de: Statistisches Jahrbuch der Schweiz 1976

fr: Annuaire statistique de la Suisse 1976


fr: Annuaire statistique de la Suisse 1950

de: Statistisches Jahrbuch der Schweiz 1950


fr: Annuaire statistique de la Suisse 1972

de: Statistisches Jahrbuch der Schweiz 1972


de: geschlecht bevolkerung frau eidgenoessische-volkszaehlung-2000 mann

en: man woman gender population

fr: Structure JSON

de: Wohnbevölkerung nach Wohnsitztyp, institutionellen Gliederungen, Geschlecht, Geburtsort und Staatsangehörigkeit (Kategorie), 2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Wohnsitztyp (zivilrechtlich, wirtschaftlich), Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und Geburtsort (gleiche Gemeinde, andere Gemeinde, Ausland), 2000.

de: JSON-Struktur

fr: Population résidante selon le type de domicile, les niveaux géographiques institutionnels, le sexe, le lieu de naissance et la nationalité (catégorie), 2000

fr: Ce dataset présente les chiffres de la population résidante selon le type de domicile (civil, économique), le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et le lieu de naissance (même commune, autre commune, étranger), en 2000.

bevolkerung

display_name: bevolkerung

donna

display_name: donna

femme

display_name: femme

frau

display_name: frau

gender

display_name: gender

genere

display_name: genere

genre

display_name: genre

geschlecht

display_name: geschlecht

homme

display_name: homme

man

display_name: man

mann

display_name: mann

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

uomo

display_name: uomo

woman

display_name: woman

spatial: Gemeinden

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società


fr: Annuaire statistique de la Suisse 2004

fr: Ce fichier électronique ne comprend que les textes de l‘Annuaire.

de: Statistisches Jahrbuch der Schweiz 2004

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs.

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


de: mann geschlecht bevolkerung eidgenoessische-volkszaehlung-2000 frau

en: population woman man gender

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Geschlecht, Geburtsort und Staatsangehörigkeit (Kategorie), 1970-2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und Geburtsort (gleiche Gemeinde, andere Gemeinde, Ausland), 1970, 1980, 1990 und 2000.

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le sexe, le domicile à la naissance et la nationalité (catégorie), 1970-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et le domicile à la naissance (même commune, autre commune, étranger), en 1970, 1980, 1990 et 2000.

bevolkerung

display_name: bevolkerung

donna

display_name: donna

femme

display_name: femme

frau

display_name: frau


de: mann eidgenoessische-volkszaehlung-2000 bevolkerung frau geschlecht

en: population woman gender man

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach beruflicher Tätigkeit, Geschlecht und Staatsangehörigkeit (Kategorie), 1990-2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach beruflicher Tätigkeit, Staatsangehörigkeit (Schweiz, Ausland) und Geschlecht, 1990 und 2000.

fr: Population résidante au domicile économique selon la profession exercée, le sexe et la nationalité (catégorie), 1990-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon la profession exercée, la nationalité (Suisse, étranger) et le sexe, en 1990 et 2000.

gender

display_name: gender

genere

display_name: genere

genre

display_name: genre

geschlecht

display_name: geschlecht


de: geschlecht mann frau bevolkerung eidgenoessische-volkszaehlung-2000

en: woman man gender population

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Arbeitsmarktstatus, Geschlecht und Staatsangehörigkeit (Kategorie), 1990-2000

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le statut d'activité, le sexe et la nationalité (catégorie), 1990-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et le statut d'activité, en 1990 et 2000.

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und Arbeitsmarktstatus, 1990 und 2000.

homme

display_name: homme

man

display_name: man

mann

display_name: mann

popolazione

display_name: popolazione

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS

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


de: Bewohnte Wohnungen nach Gemeinde, Anzahl Zimmer und Mietklassen, 1970, 1980, 1990, 2000

fr: Logements occupés selon les communes, le nombre de pièces et le loyer (classes),  1970, 1980, 1990, 2000

fr: Ce dataset présente le nombre de logements occupés selon la commune, le nombre de pièces et le loyer mensuel net, en 1970, 1980, 1990 et 2000.

de: Dieses Dataset präsentiert die Anzahl der bewohnten Wohnungen nach Gemeinde, Anzahl Zimmer und Mietpreisklasse, 1970, 1980, 1990 und 2000.

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

fr: Office fédéral de la statistique OFS


fr: Annuaire statistique de la Suisse 2009

de: Statistisches Jahrbuch der Schweiz 2009

en: Statistical Yearbook of Switzerland 2009

it: Annuario statistico della Svizzera 2009

fr: L'Annuaire statistique de la Suisse constitue depuis 1891 le plus important ouvrage de référence quantitatif sur la Suisse. Publié par l'Office fédéral de la statistique l'Annuaire présente chaque année un portrait statistique complet et actuel de la Suisse sous toutes ses coutures: population, société, Etat, économie, environnement et quantités d'autres domaines encore.

en: German / french, with english supplement

de: Das vom Bundesamt für Statistik (BFS) herausgegebene Statistische Jahrbuch ist seit 1891 das Standardwerk der Schweizer Statistik. Es fasst die wichtigsten statistischen Ergebnisse zu Bevölkerung, Gesellschaft, Staat, Wirtschaft und Umwelt des Landes zusammen. Es dient nicht nur als Nachschlagewerk, sondern zeichnet mit seinen Überblicksbeiträgen ein umfassendes Bild der sozialen und wirtschaftlichen Lage der Schweiz.

it: L'edizione 2009 dell'Annuario statistico della Svizzera (bilingue tedesco/francese) contiene di nuovo un capitolo in italiano, che presenta una concisa panoramica delle principali informazioni statistiche riguardanti la Svizzera.

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

bundesamt-fur-statistik-bfs

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


fr: Logements selon le canton, le nombre de pièces, le mode d'utilisation du logement, le statut d'occupation, le type de bâtiment et le type de propriétaire, 2000

fr: Ce dataset présente le nombre de logements selon le canton, le nombre de pièces, le mode d'utilisation (occupé en permanence, habité temporairement, non occupé), le statut d'occupation (locataire, coopérateur/trice, propriétaire, détenteur), le type de bâtiment (maisons individuelles, à plusieurs logements, bâtiments d'habitation avec usage annexe, bâtiments partiellement à usage d'habitation) et le type de propriétaire, en 2000.

de: JSON-Struktur

de: Wohnungen nach Kanton, Anzahl Zimmer, Belegungsart, Bewohnertyp, Gebäudekategorie und Hauseigentümertyp, 2000

de: Dieses Dataset präsentiert die Anzahl der Wohnungen nach Kanton, Anzahl Zimmer, Belegungsart (dauernd bewohnt, zeitweise bewohnt, nicht bewohnt), Bewohnertyp (Mieter/in, Genossenschafter/in, Inhaber/in, Pächter/in), Gebäudekategorie (Einfamilienhäuser, Mehrfamilienhäuser, Wohngebäude mit Nebennutzung, Gebäude mit teilweiser Wohnnutzung) und Hauseigentümertyp, 2000.

fr: Structure JSON

spatial: Kantone

soci

de: Bevölkerung und Gesellschaft


de: geschlecht frau bevolkerung mann eidgenoessische-volkszaehlung-2000

en: gender population woman man

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Geschlecht, sozio-professioneller Kategorie und Staatsangehörigkeit (Kategorie), 1990-2000

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le sexe, les catégories socio-professionnelles et la nationalité (catégorie), 1990-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et la catégorie socio-professionnelle, en 1990 et 2000.

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und sozio-professioneller Kategorie, 1990 und 2000.

bevolkerung

display_name: bevolkerung

donna

display_name: donna

femme

display_name: femme

frau

display_name: frau

gender

display_name: gender

population

display_name: population

populaziun

display_name: populaziun

uomo

display_name: uomo

woman

display_name: woman

fr: Population et société


en: Statistical Yearbook of Switzerland 2007

en: The 2006 edition of the Statistical Yearbook of Switzerland, available in German and French, brought with it a new feature: for the first time ever, an English section had been added, covering key Swiss statistical data. This chapter in English has been added again at the 2007 edition.

fr: Annuaire statistique de la Suisse 2007

de: Statistisches Jahrbuch der Schweiz 2007

it: Annuario statistico della Svizzera 2007

fr: L'Annuaire statistique de la Suisse constitue depuis 1891 le plus important ouvrage de référence quantitatif sur la Suisse. Publié par l'Office fédéral de la statistique l'Annuaire présente chaque année un portrait statistique complet et actuel de la Suisse sous toutes ses coutures: population, société, Etat, économie, environnement et quantités d'autres domaines encore. L'ouvrage se présente comme un outil de référence moderne et élégant en quadrichromie d'une lecture aisée et disposant d'un index détaillé. Il inclut en outre un DVD-ROM offrant au lecteur des masses d'informations supplémentaires (voir plus bas). Pour terminer, signalons que l'ouvrage imprimé offre de nouveau un court aperçu en italien et en anglais des principaux résultats.

de: Das vom Bundesamt für Statistik (BFS) herausgegebene Statistische Jahrbuch ist seit 1891 das Standardwerk der Schweizer Statistik. Es fasst die wichtigsten statistischen Ergebnisse zu Bevölkerung, Gesellschaft, Staat, Wirtschaft und Umwelt des Landes zusammen. Es dient nicht nur als Nachschlagewerk, sondern zeichnet mit seinen Überblicksbeiträgen auch ein umfassendes Bild der sozialen und wirtschaftlichen Lage der Schweiz. Der Band präsentiert sich als vierfarbiges, leicht lesbares und gut erschlossenes Nachschlagewerk. Er enthält zudem eine DVD-ROM mit den gesamten Inhalten der gedruckten Version, ergänzt durch zahlreiche weitere Informationen (siehe unten auf dieser Seite). Auch in der Ausgabe 2007 finden italienischsprachige Leserinnen und Leser eine konzise Übersicht in Form eines Querschnitts über die wichtigsten Ergebnisse. Dieser Querschnitt wird überdies - für ein internationales Publikum - auch in Englisch präsentiert.

it: L'edizione 2007 dell'Annuario statistico della Svizzera (bilingue tedesco/francese) contiene di nuovo un capitolo in italiano, che presenta una concisa panoramica delle principali informazioni statistiche riguardanti la Svizzera.


fr: Annuaire statistique de la Suisse 2005

de: Statistisches Jahrbuch der Schweiz 2005

fr: L'Annuaire statistique édité par l'Office fédéral de la statistique (OFS) constitue depuis plus de 100 ans l'ouvrage de référence de la statistique suisse. Il présente les principales données statistiques sur la population, la société, l'Etat, l'économie et l'environnement du pays. Il ne sert pas seulement d'outil de référence: ses vues d'ensemble thématiques offrent un panorama complet de la situation sociale et économique en Suisse.

de: Das vom Bundesamt für Statistik (BFS) herausgegebene Statistische Jahrbuch ist seit 1891 das Standardwerk der Schweizer Statistik. Es fasst die wichtigsten statistischen Ergebnisse zu Bevölkerung, Gesellschaft, Staat, Wirtschaft und Umwelt des Landes zusammen. Es dient nicht nur als Nachschlagewerk, sondern zeichnet mit seinen Übersichtsbeiträgen auch ein umfassendes Bild der sozialen und wirtschaftlichen Lage der Schweiz.


de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen und Religion, 1970-2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde und Religion, 1970, 1980, 1990 und 2000.

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels et la religion, 1970-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune et la religion, en 1970, 1980, 1990 et 2000.

popolazione

display_name: popolazione

spatial: Politische Gemeinden

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS

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


de: frau geschlecht eidgenoessische-volkszaehlung-2000 bevolkerung mann

en: population man woman gender

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Geschlecht, Arbeitsmarktstatus und Staatsangehörigkeit (Kategorie), 1970-2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und Arbeitsmarktstatus, 1970, 1980, 1990 und 2000.

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le sexe, le statut d'activité et la nationalité (catégorie), 1970-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et le statut d'activité, en 1970, 1980, 1990 et 2000.

genere

display_name: genere

genre

display_name: genre

geschlecht

display_name: geschlecht

homme

display_name: homme

man

display_name: man

mann

display_name: mann

spatial: Bezirke

fr: Office fédéral de la statistique OFS


de: frau geschlecht bevolkerung mann eidgenoessische-volkszaehlung-2000

en: woman population man gender

de: JSON-Struktur

fr: Personnes actives occupées au domicile économique selon les niveaux géographiques institutionnels, le secteur économique, le sexe et la nationalité (catégorie), 1990-2000

fr: Ce dataset présente les chiffres des personnes actives occupées au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et le secteur économique, en 1990 et 2000.

de: Erwerbstätige am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Wirtschaftszweig der Unternehmung, Geschlecht und Staatsangehörigkeit (Kategorie), 1990-2000

de: Dieses Dataset präsentiert die Zahlen der Erwerbstätigen am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und Wirtschaftszweig, 1990 und 2000.


fr: Logements occupés selon la commune, le nombre de pièces et le statut d'occupation, 2000

de: Bewohnte Wohnungen nach Gemeinde, Anzahl Zimmer und Bewohnertyp, 2000

de: Dieses Dataset präsentiert die Anzahl der bewohnten Wohnungen nach Gemeinde, Anzahl Zimmer und Bewohnertyp (Mieter/in, Genossenschafter/in, Inhaber/in, Pächter/in), 2000.

fr: Ce dataset présente le nombre de logements occupés selon la commune, le nombre de pièces et le statut d'occupation (locataire, coopérateur/trice, propriétaire, détenteur), en 2000.

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

soci

de: Bevölkerung und Gesellschaft

bundesamt-fur-statistik-bfs

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


de: frau geschlecht eidgenoessische-volkszaehlung-2000 mann bevolkerung

en: gender population man woman

fr: Structure JSON

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Geschlecht, höchster abgeschlossener Ausbildung und Staatsangehörigkeit (Kategorie), 1990-2000

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le sexe, la plus haute formation achevée et la nationalité (catégorie), 1990-2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon le canton, le district et la commune, la nationalité (Suisse, étranger), le sexe et la plus haute formation achevée, en 1990 et 2000.

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Kanton, Bezirk und Gemeinde, Staatsangehörigkeit (Schweiz, Ausland), Geschlecht und höchster abgeschlossener Ausbildung, 1990 und 2000.

bevolkerung

display_name: bevolkerung

donna

display_name: donna

femme

display_name: femme

frau

display_name: frau

gender

display_name: gender


de: eidgenoessische-volkszaehlung-2000 frau mann bevolkerung geschlecht

en: man population woman gender

fr: Population résidante au domicile économique selon les niveaux géographiques institutionnels, le sexe, la branche d'activité économique et la nationalité (catégorie), 2000

fr: Ce dataset présente les chiffres de la population résidante au domicile économique selon la nationalité (Suisse, étranger), le canton, le district et la commune, le sexe et la branche d'activité économique, en 2000.

de: Wohnbevölkerung am wirtschaftlichen Wohnsitz nach institutionellen Gliederungen, Wirtschaftszweig der Unternehmung, Geschlecht und Staatsangehörigkeit (Kategorie), 2000

de: Dieses Dataset präsentiert die Zahlen der Wohnbevölkerung am wirtschaftlichen Wohnsitz nach Staatsangehörigkeit (Schweiz, Ausland), Kanton, Bezirk und Gemeinde, Geschlecht und Wirtschaftszweig der Unternehmung, 2000.

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

uomo

display_name: uomo

woman

display_name: woman

soci

fr: Population et société