maintainer: Marcus Schaub

en: diameter-at-breast-height irrigation tree scots-pine dbh drought swiss-forest-lab forest lwf tree-species crown-condition

en: Shapefile	of measurement location

en: Dataset

en: Site photo 3

media_type: JPEG

en: Site photo 2

en: Site photo 1

en: Swiss Forest Health Inventory

media_type: text/html

mimetype: text/html

en: Long-term Irrigation	Experiment Pfynwald homepage

en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland


maintainer: EnviDat Support

en: landscape-planning concur land-change urban-planning urban-landscape

state: active

type: dataset

media_type: .pdf

format: SERVICE

en:
Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions"

Cities and urban regions are among the most dynamic land-use systems in the world, with dramatic consequences for the provision of ecosystem services and the livelihood of people. Planning is a multifaceted activity with extensive experience in the management of these urbanization processes. However, our understanding of planning’s contribution to shaping urban land use, form and structure is still incomplete, with serious consequences for the efficacy of urban planning and land change models.

This international conference aims to bring together the community of scholars working on planning evaluation and urban modelling. The participants are offered the opportunity to present their current research and to discuss how theoretical developments, data sources, comparative studies and modelling approaches might advance the field.

The conference was financially supported by the CONCUR project and sustained by Swiss Federal Research Institute WSL.

concur

display_name: concur

land-change

display_name: land-change

landscape-planning

display_name: landscape-planning

urban-landscape

display_name: urban-landscape

urban-planning

display_name: urban-planning

education

fr: Education, science

de: Bildung, Wissenschaft

it: Formazione e scienza

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

en: From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts


maintainer: Chunhong Zhao

en: land-use land-dynamics urban-morphology landscape austin

en: Land use dynamics in Austin since 1992

media_type: img

en: The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package.

austin

display_name: austin

land-dynamics

display_name: land-dynamics

land-use

display_name: land-use

landscape

display_name: landscape

urban-morphology

display_name: urban-morphology

en: Land use/cover dynamics in Austin metropolitan area since 1992


snow-drift-station-micro-rain-radar

title_for_slug: snow-drift-station-micro-rain-radar

en: mountain snow radar raclets precipitation rain

en: MRR data of period 3

media_type: application/zip

en: The dataset contains measurements between March 8 and March 13, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

format: ZIP

mimetype: application/zip

en: Parameter MRR

media_type: application/pdf

en: The PDF contains additional information on parameters which were set for the certain time periods (time in UTC).

format: PDF

mimetype: application/pdf

en: MRR data Period 2

en: The dataset contains measurements between March 5 and March 8, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MRR data of period 4

en: The dataset contains measurements between March 13 and March 22, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MMR Data Period 1

en: The dataset contains measurements between March 1 and March 5, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: The instrument (MRR, Metek) was mounted at Gotschnagrat (LON: 46.859 LAT: 9.849) at a height of 1 m above snow surface (at the beginning of the campaign) with an orientation of 22° with respect to North and a horizontal viewing direction. The sampling time was either 5 s or 10 s, depending on the settings at the specific period. The MRR produces standard outputs like radar reflectivity, doppler velocity, etc., and additional information can be found [here](https://metek.de/de/product/mrr-2/).

mountain

display_name: mountain

precipitation

display_name: precipitation

raclets

display_name: raclets

radar

display_name: radar

rain

display_name: rain

snow

display_name: snow

en: Snow Drift Station - Micro Rain Radar


maintainer: Michael Lehning

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

en: ADS datasets and simulation inputs

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

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

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

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


maintainer: Dirk Nikolaus Karger

en: climate-change temperature free-climate-data precipitation climatology climate bioclim climate-layers

en: CHELSA Technical Documentation

media_type: PDF

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

en: CHELSA V1.2 (deprecated)

media_type: geotiff

en: CHELSA Version 1.2 based on ERA-Interim forcings and CMIP5

format: GeoTIFF

en: CHELSA V2.1 (current)

en: CHELSA Version 2.1 based on ERA5 forcings and CMIP6

en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled temperature and precipitation to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction.

CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version.

Paper Citation:
 > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._

bioclim

display_name: bioclim

climate

display_name: climate

climate-change

display_name: climate-change

climate-layers

display_name: climate-layers

climatology

display_name: climatology

free-climate-data

display_name: free-climate-data

temperature

display_name: temperature


greenland-shrubs-and-microclimate

maintainer: Nathalie Chardon

title_for_slug: greenland-shrubs-and-microclimate

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

en: Nuup Kangerlua

media_type: .csv

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: GitLab Repository

media_type: .zip

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:
 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

field-data

display_name: field-data

sdm

display_name: sdm

validation

display_name: validation

en: Greenland shrubs and microclimate


en: integral-water-management gis hydropower ecosystem-protection decision-making

en: Indicators

media_type: text/markdown

en: The indicators capture supporting ecosystem functions.

media_type: SHP

format: SHP

en:
 A spatial dataset and tool to simultaneously assess hydropower potential and ecological potential of the Swiss river network (Version 2016)

 Introduction
The steadily growing demand for energy and the simultaneous pursuit of decarbonisation are increasing interest in the expansion of renewable energies worldwide. In Switzerland, various funding projects have been launched to promote technologies in the field of renewable energies and their application as quickly as possible. With the introduction of a funding instrument in 2009, the number of projects submitted to produce renewable energies increased rapidly. The applications for small hydropower plants (≤ 10 MW) were correspondingly numerous. However, the assessment of the environmental impact and its comparison with hydropower importance is still not standardized.
To provide a basis for decision-making, a methodology was developed to determine the overall hydropower potential of a region. A detailed assessment of each river reach, and the systematic and holistic assessment of small hydropower projects at a regional scale are combined here. The assessment of a river reach is conducted at the river space (i.e., the river and adjacent areas) and at the surrounding landscape level. The HYDROpot_integral methodology was developed as part of Carol Hemund's dissertation (2012) at the University of Bern. It allows the evaluation of river reaches holistically, regarding ecological, social, economic and cultural criteria. As a second part of the overall project, the theoretical hydropower (or hydraulic) potential was calculated for the entire river network, which complemnets the spatial assessment. In particular, it is possible to classify river reaches into those that are more suitable for hydropower production (=”use”) and those that are more suitable for protection.

 Material and method
The HYDROpot_Integral method was developed and tested on the basis of cantonal and national data (Hirschi et al. 2013). The method relies on 73 geodata sets. This holistic assessment is the key element of the entire assessment procedure. Its aim is to quantify the importance of the ecosystem functions in terms of services. The river network (GWN07) is divided into reaches of about 450m and for each reach two study units are defined. The river space (RS) records the ecosystem functions of the water body and the nearby riparian area. The length of the RS is 315 m on average in Switzerland and a maximum of 450 m, whereas the width is based on the FOEN definition (BWG 2001: 18f) and varies between 7-107 m. The surrounding landscape (SLS) is the second survey unit that records the ecosystem functions of the surrounding area over a range of 21 m to 321 m. The SLS is calculated over three times the RS width. The length of the SLS is identical to the length of the RS. The ecosystem functions are divided into three types: regulating (service A), cultural (service B) and provisioning (service C) functions. Accordingly, the assessment of the functions is divided into three parts and three values are assigned to each river reach. The more functions there are and the greater their performance, the higher these values are and the more important the corresponding functions are. Hence, these values quantify the importance of the ecosystem functions and the ecological, cultural and economic ecosystem services of each river reach. The concatenation of ecosystem services results in a value (ABC) that can occur in 125 different versions due to the chosen five-level value scale; i.e. each digit of the three-digit number sequence can be assigned a value between 1 and 5. Each of the 125 combinations, and thus each river reach, has its own characteristics determined by the assessments of the three function types. To record the suitability, the combinations are ranked according to their ecological, cultural and economic ecosystem services. These rules mean that the combination that is most suitable for hydropower production at minimum cost in terms of ecological and cultural ecosystem services and has a high economic potential is ranked first; rank 125 indicates the highest ecological and cultural ecosystem services and the lowest economic services and is therefore most suitable for protection. A river reach that is excluded from hydropower use due to legislation, a so-called priority reach, is given rank 126 from the outset and specially marked. A more detailed description of the methods can be found in Hirschi et al. 2013 [Link]. The dataset presented here presents the latest state of the HYDROpot_integral methodology applied at the national level. Only national data that is easily accessible was used in the preparation of the dataset. The cantonal data, such as renaturation and revitalization, would have to be requested by each canton individually and was excluded here. The nationwide value synthesis was made with R.
A list of data sources can be found here [link to text file]
A list of all parameters can be downloaded here [link to PDF and text files]

 Dataset description
Data is presented as a single shapefile. It contains the river network and all assessment results obtained with HYDROpot_Integral.

 Changes in the methodology compared to the original method (Hirschi et. al 2013)

 * RS_A11 Ecomorphology: recorded for the whole of Switzerland and zero values equated with NA;
individual cantons such as Zug and St. Gallen have no mapped values according to the modular
concept of the federal government, Valais and Graubünden only the main valleys, Ticino and Fribourg not
completely (BAFU 2009).
 * RS_A14 Renaturation and revitalization data: not centrally available at the time of data collection.
centrally available, therefore values in GR were equated with NA.
 * RS_A15 Dilution ratio at wastewater treatment plants (WWTPs) for discharges: Zero values
equal to NA.
 * RS_A20 Water flow: use WASTA (2013) with hydroelectric power plants (> 300 kW) under
Federal control and dams serving hydroelectricity (Dam, as of 2013).
 * RS_C05 Synoptic hazard maps: are cantonally managed at the time of data collection,
Values in GR are marked with a 5 so that the systematics in the decision tree is not affected.
is affected.
 * Water quality (RS_A15, RS_A16, RS_A17, RS_A18, RS_A19): for the evaluation of the function type.
A Nature, it is important whether the median of the five values is less than or equal to 3 in total. This
evaluation is based on the decision tree for evaluating GR (Hirschi et al. 2013:22).
Therefore, an evaluation of the station data is made where critical and possible river segments
with poor quality (median less than 3) exist. Only two longer and one short
sections in Switzerland receive a lower median than 3 for water quality.
 * SLS_B06 Visibility: For 99 percent of the river segments (30,733 of 31,062) in the canton of
Bern (2015 reduced version), the landscape area is considered to be visible. Due to this high number
of sections, a large number of viewpoints in the layer of Swisstopo and
the computation time and computability in ArcGIS, the landscape area is classified as generally viewable
(equal to 1).
16 Method
Additional indicators were added (see Appendix B.2):
 * SLS_A21 Dissection
 * SLS_A22 Forest areas
 * SLS_B03 Hiking trails
 * SLS_B10 Residential and vacation homes
 * SLS_B11 Tourist infrastructure
 * SLS_C01 Landfill
 * SLS_C03 Infrastructure
 * SLS_C05 Industry
 * SLS_C06 Agricultural land
Not to be added, although present to some extent:
 * SLS_B06 Cultural assets of national importance: here, too, the calculability of the visibility analysis is
for the whole of Switzerland is limited
 * SLS_A15 Legally binding protection and land use planning: the individual river sections are not
clearly designated, i.e. no geodata exist
The following data are also not supplemented, as they are cantonal data:
 * SLS_A10 Cantonal nature reserves
 * SLS_A16 Forest reserves
 * SLS_A17 Cantonal inventories and contractually protected areas

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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


en: vapor-transport snow pattern-formation numerical-model python

media_type: ZIP

en:
Data and code v1.0 downloaded from the git.

Running the code requires an installation of FEniCS via docker.

en:
This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.

The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:

_Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical
instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_

The code and potential updates can be accessed directly through git via:

https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

snow

display_name: snow

vapor-transport

display_name: vapor-transport

en: A numerical solver for heat and mass transport in snow based on FEniCS


maintainer: Jana von Freyberg

en: hydrology stream-water alptal stable-water-isotope catchment precipitation

media_type: TXT

en: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley

format: TXT

en: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2

en: Documentations contains meta data of the data columns and information about the study catchments.

media_type: .txt

en:
Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality

en: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.

alptal

display_name: alptal

catchment

display_name: catchment

hydrology

display_name: hydrology

precipitation

display_name: precipitation

stable-water-isotope

display_name: stable-water-isotope

stream-water

display_name: stream-water

en: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments


en: surface-mass-balance cryowrf antarctica reproducibility blowing-snow

en: Namelist and input files and information to run the WRF and CRYOWRF simulations used in the paper.

en: Processed WRF output (run with Noah-MP land surface model) used for the analysis and the figures in the paper.

en: Static input data from the WRF simulations (used in the python scripts in Scripts_Reproducibility).

en: Python scripts to reproduces figures in Gerber et al., 2022, submitted.

en: Processed CRYOWRF output used for the analysis and the figures in the paper.

en:
This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., submitted).

* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded from Sharma et a., 2021.
* Static_input: Static topography input file of WRF (geo_em.d01).
* WRF_27km_NoahMP: Preprocessed WRF output of the simulation run with the WRF using the surface parameterization Noah-MP to reproduce the figures and results in the paper.
* WRF_27km_CRYOWRF: Preprocessed WRF output of the simulation run with CRYOWRF to reproduce the figures and results in the paper.
* Scripts_Reproducibility: Python scripts to reproduce the figures and results in the paper.

Note:

* To run some of the scripts Atmospheric Weather station data needs to be prepared using Gerber and Lehning, 2022.
* AWS data is not provided and needs to be downloaded from the corresponding databases. Please make sure to comply with the respective terms and conditions.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

cryowrf

display_name: cryowrf

reproducibility

display_name: reproducibility

surface-mass-balance

display_name: surface-mass-balance

en: Reproducibility dataset for CRYOWRF validation


maintainer: Matthias Haeni

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

en: Data plot of the field station (OTF)

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

en: Forest station data (OTB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Site photo of the forest station (OTB)

media_type: image/jpeg

en: Site photo of the forest station from above (viewing downwards the slope).

mimetype: image/jpeg

en: Site photo of the field station (OTF)

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

en: Site aerial photo (Othmarsingen)

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

en: Field station data (OTF)

en: Data plot of the forest station (OTB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Othmarsingen in Switzerland where one station is located within a natural deciduous forest stand (OTB) with European beech (_Fagus sylvatica_; 120-140 yrs) and lime trees (_Tilia sp._; 120-140 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, OTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Othmarsingen is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

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


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

de: kataster-der-belasteten-standorte kbs ablagerungsstandort betriebsstandort unfallstandort altlastenkataster verdachtsflachenkataster altlast

label: Geometadaten Kanton Zürich: GeoLion

label: geocat.ch permalink

spatial: Kanton Zürich

de: Download via GIS-Browser

de: Der Kataster der belasteten Standorte (KbS) zeigt Standorte, bei denen feststeht oder mit grosser Wahrscheinlichkeit zu erwarten ist, dass sie mit Abfällen belastet sind (Art. 32c Abs. 2 des Umweltschutzgesetzes und Art.5 und 6 der Altlasten-Verordnung). Es wird zwischen Ablagerungsstandorten (Deponien, Schüttungen, etc), Betriebsstandorten und Unfallstandorten unterschieden.

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

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

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

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

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

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

political_level: canton

value: ZH - Geocat Harvester

de: Kataster der belasteten Standorte (KbS)


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

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

de: Seebautenkataster


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

en: Sonic temperature

media_type: npy

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

en: Sonic time

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

en: Sonic wind component u

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

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

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

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

en: Sonic wind component v

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

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

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

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

en: Sonic wind component w

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

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

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

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

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

anemometer

display_name: anemometer

raclets

display_name: raclets

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-velocity

display_name: wind-velocity

en: Snow Drift Station - 3D Ultrasonic


radiosondes

maintainer: Jörg Wieder

title_for_slug: radiosondes

en: holoballoon raclets temperature radiosonde pressure relative-humidity wind-direction wind

en: Radiosond Sounding Files

en:
The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosond Template Files

en:
The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

radiosonde

display_name: radiosonde

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: Radiosondes


maintainer: Staatskanzlei Zug

fr: federal votation

de: abstimmung national

it: votazione nazionale

label: Descripziun dal format

label: Description du format

label: Descrizione del formato

label: Formatbeschreibung

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

identifier: csv

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (Direkter Gegenentwurf zur Volksinitiative «Ja zur Hausarztmedizin»)", 18 da matg 2014, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (Direkter Gegenentwurf zur Volksinitiative «Ja zur Hausarztmedizin»)", 18 mai 2014, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (Direkter Gegenentwurf zur Volksinitiative «Ja zur Hausarztmedizin»)", 18. Mai 2014, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 19. September 2013 über die medizinische Grundversorgung (Direkter Gegenentwurf zur Volksinitiative «Ja zur Hausarztmedizin»)", 18 maggio 2014, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

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

value: ZG-Kt - Staatskanzlei - DCAT Harvester


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

en: Site aerial photo (Chironico)

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

en: Forest station data (CIB)

en: Data file.

en: Site photo of the forest station (CIB)

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

en: Data plot of the field station (CIF)

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

en: Data plot of the forest station (CIB)

en: Site photo of the field station (CIF)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Chironico in Switzerland where one station is located within a natural coniferous forest stand (CIB) with Norway spruce (_Picea abies_; 160-180 yrs) and European silver fir (_Abies alba_; 140-160 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, CIF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Chironico is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

de: Bildung, Wissenschaft

envidat

de: EnviDat: das Umwelt-Datenportal

en: Chironico, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 2000 onwards


de: publikation grundlagen-und-ubersichten

spatial: Schweiz

de: Statistisches Jahrbuch der Schweiz 1919

media_type: text/html

format: HTML

fr: Annuaire statistique de la Suisse 1919

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

pubblicazione

display_name: pubblicazione

publication

display_name: publication

publikation

display_name: publikation

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

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.

political_level: confederation

value: BFS – DCAT Harvester


de: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1921

de: Statistisches Jahrbuch der Schweiz 1921


de: Statistisches Jahrbuch der Schweiz 1906

fr: Annuaire statistique de la Suisse 1906


fr: Annuaire statistique de la Suisse 1907

de: Statistisches Jahrbuch der Schweiz 1907


fr: Annuaire statistique de la Suisse 1900

de: Statistisches Jahrbuch der Schweiz 1900


fr: Annuaire statistique de la Suisse 1914

de: Statistisches Jahrbuch der Schweiz 1914


de: Statistisches Jahrbuch der Schweiz 1903

fr: Annuaire statistique de la Suisse 1903


de: Statistisches Jahrbuch der Schweiz 1917

fr: Annuaire statistique de la Suisse 1917


fr: Annuaire statistique de la Suisse 1913

de: Statistisches Jahrbuch der Schweiz 1913


de: Statistisches Jahrbuch der Schweiz 1918

fr: Annuaire statistique de la Suisse 1918


fr: Annuaire statistique de la Suisse 1910

de: Statistisches Jahrbuch der Schweiz 1910


fr: Annuaire statistique de la Suisse 1920

de: Statistisches Jahrbuch der Schweiz 1920


fr: Annuaire statistique de la Suisse 1911

de: Statistisches Jahrbuch der Schweiz 1911


de: Statistisches Jahrbuch der Schweiz 1908

fr: Annuaire statistique de la Suisse 1908


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1922

de: Statistisches Jahrbuch der Schweiz 1922

statistical-basis

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1924

de: Statistisches Jahrbuch der Schweiz 1924

fr: Bases statistiques

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.


fr: Annuaire statistique de la Suisse 1904

de: Statistisches Jahrbuch der Schweiz 1904

fr: Office fédéral de la statistique OFS

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: Statistisches Jahrbuch der Schweiz 1901

fr: Annuaire statistique de la Suisse 1901


de: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1909

de: Statistisches Jahrbuch der Schweiz 1909


fr: Annuaire statistique de la Suisse 1923

de: Statistisches Jahrbuch der Schweiz 1923


fr: Annuaire statistique de la Suisse 1905

de: Statistisches Jahrbuch der Schweiz 1905


fr: Annuaire statistique de la Suisse 1912

de: Statistisches Jahrbuch der Schweiz 1912


fr: Annuaire statistique de la Suisse 1916

de: Statistisches Jahrbuch der Schweiz 1916


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902


fr: Annuaire statistique de la Suisse 1915

de: Statistisches Jahrbuch der Schweiz 1915


de: Statistisches Jahrbuch der Schweiz 1957

fr: Annuaire statistique de la Suisse 1957


fr: Annuaire statistique de la Suisse 1970

de: Statistisches Jahrbuch der Schweiz 1970


fr: Annuaire statistique de la Suisse 1935

de: Statistisches Jahrbuch der Schweiz 1935


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1969

de: Statistisches Jahrbuch der Schweiz 1969

statistical-basis

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1936

de: Statistisches Jahrbuch der Schweiz 1936

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: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1973

de: Statistisches Jahrbuch der Schweiz 1973

statistical-basis

fr: Bases statistiques


fr: Annuaire statistique de la Suisse 1974

de: Statistisches Jahrbuch der Schweiz 1974

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


de: Statistisches Jahrbuch der Schweiz 1964

fr: Annuaire statistique de la Suisse 1964

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: Annuaire statistique de la Suisse 1927

de: Statistisches Jahrbuch der Schweiz 1927


fr: Annuaire statistique de la Suisse 1940

de: Statistisches Jahrbuch der Schweiz 1940


fr: Annuaire statistique de la Suisse 1966

de: Statistisches Jahrbuch der Schweiz 1966


de: Statistisches Jahrbuch der Schweiz 1959-60

fr: Annuaire statistique de la Suisse 1959-60


fr: Annuaire statistique de la Suisse 1962

de: Statistisches Jahrbuch der Schweiz 1962


de: Statistisches Jahrbuch der Schweiz 1951

fr: Annuaire statistique de la Suisse 1951


fr: Annuaire statistique de la Suisse 1945

de: Statistisches Jahrbuch der Schweiz 1945


fr: Annuaire statistique de la Suisse 1937

de: Statistisches Jahrbuch der Schweiz 1937


de: Statistisches Jahrbuch der Schweiz 1950

fr: Annuaire statistique de la Suisse 1950


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1928

de: Statistisches Jahrbuch der Schweiz 1928

statistical-basis

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1971

de: Statistisches Jahrbuch der Schweiz 1971

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: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1939

de: Statistisches Jahrbuch der Schweiz 1939


de: Statistisches Jahrbuch der Schweiz 1961

fr: Annuaire statistique de la Suisse 1961

statistical-basis

fr: Bases statistiques


fr: Annuaire statistique de la Suisse 1949

de: Statistisches Jahrbuch der Schweiz 1949

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


fr: Annuaire statistique de la Suisse 1929

de: Statistisches Jahrbuch der Schweiz 1929

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: Annuaire statistique de la Suisse 1968

de: Statistisches Jahrbuch der Schweiz 1968


de: Statistisches Jahrbuch der Schweiz 1933

fr: Annuaire statistique de la Suisse 1933


fr: Annuaire statistique de la Suisse 1931

de: Statistisches Jahrbuch der Schweiz 1931


fr: Annuaire statistique de la Suisse 1925

de: Statistisches Jahrbuch der Schweiz 1925


de: Statistisches Jahrbuch der Schweiz 1934

fr: Annuaire statistique de la Suisse 1934


de: Statistisches Jahrbuch der Schweiz 1963

fr: Annuaire statistique de la Suisse 1963


de: publikation grundlagen-und-ubersichten

de: Statistisches Jahrbuch der Schweiz 1952

fr: Annuaire statistique de la Suisse 1952


de: Statistisches Jahrbuch der Schweiz 1930

fr: Annuaire statistique de la Suisse 1930

statistical-basis

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1947

de: Statistisches Jahrbuch der Schweiz 1947

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS


de: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1932

de: Statistisches Jahrbuch der Schweiz 1932

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 1967

de: Statistisches Jahrbuch der Schweiz 1967


fr: Annuaire statistique de la Suisse 1953

de: Statistisches Jahrbuch der Schweiz 1953


fr: Annuaire statistique de la Suisse 1965

de: Statistisches Jahrbuch der Schweiz 1965

statistical-basis

fr: Bases statistiques


fr: Annuaire statistique de la Suisse 1955

de: Statistisches Jahrbuch der Schweiz 1955

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


de: Statistisches Jahrbuch der Schweiz 1941

fr: Annuaire statistique de la Suisse 1941

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: Statistisches Jahrbuch der Schweiz 1958

fr: Annuaire statistique de la Suisse 1958


de: Statistisches Jahrbuch der Schweiz 1954

fr: Annuaire statistique de la Suisse 1954


fr: Annuaire statistique de la Suisse 1948

de: Statistisches Jahrbuch der Schweiz 1948


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1972

de: Statistisches Jahrbuch der Schweiz 1972


fr: Annuaire statistique de la Suisse 1946

de: Statistisches Jahrbuch der Schweiz 1946


fr: Annuaire statistique de la Suisse 1943

de: Statistisches Jahrbuch der Schweiz 1943

statistical-basis

de: Statistische Grundlagen


de: Statistisches Jahrbuch der Schweiz 1944

fr: Annuaire statistique de la Suisse 1944

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS


de: Statistisches Jahrbuch der Schweiz 1942

fr: Annuaire statistique de la Suisse 1942


fr: Annuaire statistique de la Suisse 1956

de: Statistisches Jahrbuch der Schweiz 1956

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 1938

de: Statistisches Jahrbuch der Schweiz 1938


de: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1926

de: Statistisches Jahrbuch der Schweiz 1926


de: Statistisches Jahrbuch der Schweiz 2003

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs - die Tabellen finden Sie im gedruckten Buch.

fr: Annuaire statistique de la Suisse 2003

fr: Ce fichier électronique ne comprend que les textes de l"Annuaire - les tableaux se trouvent dans la version imprimée du livre.


de: Statistisches Jahrbuch der Schweiz 1975

fr: Annuaire statistique de la Suisse 1975

statistical-basis

fr: Bases statistiques


fr: Annuaire statistique de la Suisse 1981

de: Statistisches Jahrbuch der Schweiz 1981

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


de: publikation grundlagen-und-ubersichten

de: Statistisches Jahrbuch der Schweiz 2002

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

fr: Annuaire statistique de la Suisse 2002

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

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: Statistisches Jahrbuch der Schweiz 1987-88

fr: Annuaire statistique de la Suisse 1987-88


de: arbeit-und-erwerb frau tabelle schweizerische-lohnstrukturerhebung stichprobenerhebung mann geschlecht

en: sample-surveys swiss-earnings-structure-survey gender table man work-and-income woman

de: JSON-Struktur

fr: Structure JSON

fr: Salaire mensuel brut selon le domaine d'activité - Suisse et grandes régions

de: Monatlicher Bruttolohn nach Tätigkeit - Schweiz und Grossregionen

fr: Ce dataset présente les données bisannuelles du salaire mensuel brut selon la grande région, le domaine d'activité, le niveau de qualification et le sexe, de 2002 à 2010.

de: Dieser Dataset präsentiert die zweijährlichen Zahlen des monatlichen Bruttolohns nach Grossregion, Tätigkeit, Anforderungsniveau des Arbeitsplatzes und Geschlecht, von 2002 bis 2010.

arbeit-und-erwerb

display_name: arbeit-und-erwerb

donna

display_name: donna

enquete--par-sondage

display_name: enquete--par-sondage

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

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

man

display_name: man

mann

display_name: mann

rilevazione-campionaria

display_name: rilevazione-campionaria

sample-surveys

display_name: sample-surveys

schweizerische-lohnstrukturerhebung

display_name: schweizerische-lohnstrukturerhebung

stichprobenerhebung

display_name: stichprobenerhebung

swiss-earnings-structure-survey

display_name: swiss-earnings-structure-survey

tabella

display_name: tabella

tabelle

display_name: tabelle

table

display_name: table

tableau

display_name: tableau

travail-et-remuneration

display_name: travail-et-remuneration

uomo

display_name: uomo

woman

display_name: woman

work-and-income

display_name: work-and-income

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito


de: Statistisches Jahrbuch der Schweiz 1976

fr: Annuaire statistique de la Suisse 1976

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

pubblicazione

display_name: pubblicazione

publication

display_name: publication

publikation

display_name: publikation

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

de: Statistische Grundlagen

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.


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.


it: Ritratti delle agglomerazioni 2013

en: Agglomeration portraits 2013

de: Agglomerationsporträts 2013

fr: Portraits des agglomérations 2013

city-statistics

display_name: city-statistics

statistica-di-sintesi

display_name: statistica-di-sintesi

statistique-de-synthese

display_name: statistique-de-synthese

summary-statistics

display_name: summary-statistics

synthesestatistik

display_name: synthesestatistik

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione


de: grundlagen-und-ubersichten publikation

de: Statistisches Jahrbuch der Schweiz 1983

fr: Annuaire statistique de la Suisse 1983


fr: Annuaire statistique de la Suisse 2000

de: Statistisches Jahrbuch der Schweiz 2000

statistical-basis

fr: Bases statistiques


spatial: Kantone

de: Erwerbsmodelle: Aufteilung der Erwerbstätigkeit von Paaren mit einem Kind unter 7 Jahren nach Kanton, Sprachregion, städtischen/ländlichen Gebieten

format: XLS

it: Modelli d'attività professionale: ripartizione dell'attività professionale nelle coppie con almeno un figlio di meno di 7 anni secondo il Cantone, la regione linguistica e la regione urbana/rurale

fr: Modèles d'activité professionnelle: répartition de l'activité professionnelle dans le couple avec au moins un enfant de moins de 7 ans selon le canton, la région linguistique et la région urbaine/rurale

coppia

display_name: coppia

couple

display_name: couple

egalite-femme-homme

display_name: egalite-femme-homme

enquete--par-sondage

display_name: enquete--par-sondage

gender-equality

display_name: gender-equality

gleichstellung-frau-mann

display_name: gleichstellung-frau-mann

paar

display_name: paar

releve-structurel

display_name: releve-structurel

rilevazione-campionaria

display_name: rilevazione-campionaria

rilevazione-strutturale

display_name: rilevazione-strutturale

sample-surveys

display_name: sample-surveys

stichprobenerhebung

display_name: stichprobenerhebung

structural-survey

display_name: structural-survey

strukturerhebung

display_name: strukturerhebung

tabella

display_name: tabella

tabelle

display_name: tabelle

table

display_name: table

tableau

display_name: tableau

uguaglianza-donna-uomo

display_name: uguaglianza-donna-uomo

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


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

pubblicazione

display_name: pubblicazione

publication

display_name: publication

publikation

display_name: publikation

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


fr: Annuaire statistique de la Suisse 1978

de: Statistisches Jahrbuch der Schweiz 1978

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: Annuaire statistique de la Suisse 1993

de: Statistisches Jahrbuch der Schweiz 1993


de: Statistisches Jahrbuch der Schweiz 1992

fr: Annuaire statistique de la Suisse 1992


en: complete-enumeration-survey population vital-statistics table

it: Matrimoni secondo la classe d'età, la nazionalità (selezione) e lo stato civile di entrambi i coniugi, 1969-1986

en: Marriages by age class, nationality and marital status of both of the partners, 1969-1986

fr: Mariages selon la classe d'âge, la nationalité et l'état civil de chacun des époux, 1969-1986

fr: Structure JSON

de: JSON-Struktur

fr: Mariages selon la classe d'âge, la nationalité (sélection) et l'état civil de chacun des époux, 1969-1986

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit (Auswahl) und Zivilstand der Ehepartner, 1969-1986

it: Struttura JSON

it: Matrimoni secondo la classe d'età, la nazionalità e lo stato civile di entrambi i coniugi, 1969-1986

en: JSON structure

en: Marriages by age class, nationality (selection) and marital status of both of the partners, 1969-1986

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit und Zivilstand der Ehepartner, 1969-1986

bevolkerung

display_name: bevolkerung

complete-enumeration-survey

display_name: complete-enumeration-survey

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

releve-exhaustif

display_name: releve-exhaustif

rilevazione-totale

display_name: rilevazione-totale

vital-statistics

display_name: vital-statistics

vollerhebung

display_name: vollerhebung


fr: Annuaire statistique de la Suisse 1998

de: Statistisches Jahrbuch der Schweiz 1998

statistical-basis

de: Statistische Grundlagen

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.


en: vital-statistics table complete-enumeration-survey population

en: Marriages by age class, nationality and marital status of both of the partners, 1987-1997

en: Marriages by age class, nationality (selection) and marital status of both of the partners, 1987-1997

it: Matrimoni secondo la classe d'età, la nazionalità e lo stato civile di entrambi i coniugi, 1987-1997

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit und Zivilstand der Ehepartner, 1987-1997

fr: Mariages selon la classe d'âge, la nationalité et l'état civil de chacun des époux, 1987-1997

it: Matrimoni secondo la classe d'età, la nazionalità (selezione) e lo stato civile di entrambi i coniugi, 1987-1997

fr: Mariages selon la classe d'âge, la nationalité (sélection) et l'état civil de chacun des époux, 1987-1997

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit (Auswahl) und Zivilstand der Ehepartner, 1987-1997

tabella

display_name: tabella

tabelle

display_name: tabelle

table

display_name: table

tableau

display_name: tableau

population

de: Bevölkerung


de: grundlagen-und-ubersichten publikation

it: Annuario statistico della Svizzera 2010

it: L'edizione 2010 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.

en: Statistical Yearbook of Switzerland 2010

en: German / french, with english supplement

fr: Annuaire statistique de la Suisse 2010

de: Statistisches Jahrbuch der Schweiz 2010

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.

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.

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

pubblicazione

display_name: pubblicazione


fr: Portraits des villes 2013

it: Ritratti delle città 2013

en: City Portraits 2013

de: Städteporträts 2013

city-statistics

display_name: city-statistics

publication

display_name: publication

publikation

display_name: publikation

statistica-di-sintesi

display_name: statistica-di-sintesi

statistique-de-synthese

display_name: statistique-de-synthese

summary-statistics

display_name: summary-statistics

synthesestatistik

display_name: synthesestatistik

population

fr: Population


de: Statistisches Jahrbuch der Schweiz 2001

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

fr: Annuaire statistique de la Suisse 2001

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

en: Statistical basis

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


fr: Annuaire statistique de la Suisse 2006

de: Statistisches Jahrbuch der Schweiz 2006

en: Statistical Yearbook of Switzerland 2006

it: Annuario statistico della Svizzera 2006

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). Parmi les nouveautés de cette édition 2006 signalons un long survol récapitulatif du volume destiné à nos compatriotes italophones, de même qu'une version anglaise de ce survol destiné à un public international. Chacun des chapitres - un chapitre par domaine de la statistique de la Suisse - est subdivisé en quatre parties: 1. Vue d'ensemble 2. Méthodes, enquêtes 3. Glossaire 4. Données

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). Als Neuheit finden in der Ausgabe 2006 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. Die Kapitel des Jahrbuchs - sie entsprechen den Bereichen der amtlichen Statistik - sind jeweils in folgende vier Teile gegliedert: 1. Überblick 2. Methoden, Erhebungen mit Übersicht über die Statistiken 3. Glossar mit Definitionen von Fachbegriffen 4. Datenteil

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

it: L'edizione 2006 dell'Annuario statistico della Svizzera (bilingue tedesco/francese) contiene per la prima volta un capitolo in italiano, che presenta una concisa panoramica delle principali informazioni statistiche riguardanti la Svizzera.

en: Federal Statistical Office FSO


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1995

de: Statistisches Jahrbuch der Schweiz 1995

statistical-basis

it: Basi statistiche

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.

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.


de: Statistisches Jahrbuch der Schweiz 1977

fr: Annuaire statistique de la Suisse 1977

bundesamt-fur-statistik-bfs

it: Ufficio federale di statistica UST


fr: Annuaire statistique de la Suisse 1984

de: Statistisches Jahrbuch der Schweiz 1984

statistical-basis

de: Statistische Grundlagen

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.


de: mann tabelle arbeit-und-erwerb geschlecht stichprobenerhebung frau schweizerische-lohnstrukturerhebung

en: gender woman swiss-earnings-structure-survey work-and-income sample-surveys man table

de: Monatlicher Bruttolohn, SchweizerInnen und AusländerInnen - Schweiz und Grossregionen

de: Dieser Dataset präsentiert die zweijährlichen Zahlen des monatlichen Bruttolohns (median, Quartilbereich) der Schweizer/innen und Ausländer/innen nach Grossregion, Staatsangehörigkeit / Anwesenheitsbewilligung, Anforderungsniveau des Arbeitsplatzes und Geschlecht, von 2002 bis 2010.

fr: Salaire mensuel brut, Suisses/Suissesses et étrangers/étrangères - Suisse et grandes régions

fr: Ce dataset présente les données bisannuelles du salaire mensuel brut (médiane, intervalles interquartiles) des Suisses/Suissesses et étrangers/étrangères selon la grande région, l'autorisation de résidence, le niveau de qualification et le sexe, de 2002 à 2010.

fr: Structure JSON

de: JSON-Struktur

arbeit-und-erwerb

display_name: arbeit-und-erwerb

donna

display_name: donna

enquete--par-sondage

display_name: enquete--par-sondage

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

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

man

display_name: man

mann

display_name: mann

rilevazione-campionaria

display_name: rilevazione-campionaria

sample-surveys

display_name: sample-surveys

schweizerische-lohnstrukturerhebung

display_name: schweizerische-lohnstrukturerhebung

stichprobenerhebung

display_name: stichprobenerhebung

swiss-earnings-structure-survey

display_name: swiss-earnings-structure-survey

travail-et-remuneration

display_name: travail-et-remuneration

uomo

display_name: uomo

woman

display_name: woman

work-and-income

display_name: work-and-income

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito

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: grundlagen-und-ubersichten publikation

fr: Annuaire statistique de la Suisse 1982

de: Statistisches Jahrbuch der Schweiz 1982

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

pubblicazione

display_name: pubblicazione

publication

display_name: publication

publikation

display_name: publikation

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


fr: Modèles d'activité professionnelle: répartition de l'activité professionnelle dans le couple avec au moins un enfant de moins de 7 ans selon le canton, la région linguistique et la région urbaine/rurale

de: Erwerbsmodelle: Aufteilung der Erwerbstätigkeit von Paaren mit einem Kind unter 7 Jahren nach Kanton, Sprachregion, städtischen/ländlichen Gebieten

coppia

display_name: coppia

couple

display_name: couple

egalite-femme-homme

display_name: egalite-femme-homme

enquete--par-sondage

display_name: enquete--par-sondage

gender-equality

display_name: gender-equality

gleichstellung-frau-mann

display_name: gleichstellung-frau-mann

paar

display_name: paar

releve-structurel

display_name: releve-structurel

rilevazione-strutturale

display_name: rilevazione-strutturale

structural-survey

display_name: structural-survey

strukturerhebung

display_name: strukturerhebung

tabella

display_name: tabella

tabelle

display_name: tabelle

table

display_name: table

tableau

display_name: tableau

uguaglianza-donna-uomo

display_name: uguaglianza-donna-uomo

population

de: Bevölkerung

en: Population


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

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.

it: Annuario statistico della Svizzera 2007

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.

de: Statistisches Jahrbuch der Schweiz 2007

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.

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

pubblicazione

display_name: pubblicazione

publication

display_name: publication

publikation

display_name: publikation

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


en: table population complete-enumeration-survey vital-statistics

en: JSON structure

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit und Zivilstand der Ehepartner, 1998-2006

en: Marriages by age class, nationality (selection) and marital status of both of the partners, 1998-2006

fr: Mariages selon la classe d'âge, la nationalité (sélection) et l'état civil de chacun des époux, 1998-2006

it: Matrimoni secondo la classe d'età, la nazionalità (selezione) e lo stato civile di entrambi i coniugi, 1998-2006

it: Matrimoni secondo la classe d'età, la nazionalità e lo stato civile di entrambi i coniugi, 1998-2006

fr: Mariages selon la classe d'âge, la nationalité et l'état civil de chacun des époux, 1998-2006

de: Heiraten nach gegenseitiger Altersklasse, Staatsangehörigkeit (Auswahl) und Zivilstand der Ehepartner, 1998-2006

en: Marriages by age class, nationality and marital status of both of the partners, 1998-2006

bevolkerung

display_name: bevolkerung

complete-enumeration-survey

display_name: complete-enumeration-survey

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

releve-exhaustif

display_name: releve-exhaustif

rilevazione-totale

display_name: rilevazione-totale

vital-statistics

display_name: vital-statistics

vollerhebung

display_name: vollerhebung

population

fr: Population

it: Popolazione


de: publikation grundlagen-und-ubersichten

fr: Annuaire statistique de la Suisse 1996

de: Statistisches Jahrbuch der Schweiz 1996

statistical-basis

fr: Bases statistiques

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


de: Statistisches Jahrbuch der Schweiz 2013

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.

fr: Annuaire statistique de la Suisse 2013

en: Statistical Yearbook of Switzerland 2013

it: Annuario statistico della Svizzera 2013

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

it: L'edizione 2013 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.

statistical-basis

de: Statistische Grundlagen

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.