en: europe land-use-transformations strategic-spatial-planning spatial-planning large-scale-urban-development-projects strategic-projects land-use-change urban-transformations

en: QCA data set large-scale urban development projects

en: Please refer to the sections: 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalization in the Metadata for further details on this resource.

en: QCA R script large-scale urban development projects Europe

en:
For the set up of this R script, we used the “QCA” (Duşa, 2019) and “SetMethods” (Oana and Schneider, 2018) R packages.

The following further resources were also used:
Dusa, A. (2019). QCA with R: A comprehensive resource. Springer: Berlin.
Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences. A guide to qualitative comparative analysis. Cambridge: Cambridge University Press.
Thomann, E., Oana, I.-E., & Wittwer, S. (2018). Performing fuzzy- and crisp set QCA with R. A user-oriented beginner's guide. Retrieved from http://www.evathomann.com/links/qca-r-manual

en:
Table of Content: 1. General context of the data set "lsUDPs" ; 2. Background and aims of the study using the data set lsUDPs; 3. The data set lsUDPs: 3.1 Selection of cases and data collection; 3.2 Data management and operationalisation

1. General context of the data set "lsUDPs"
The data set "lsUDPs" has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2020. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, strategic spatial plans) into quantitative land-change modelling approaches at the urban regional level. The first stage (2016-2017) of the CONCUR project focussed on 21 urban regions in Western Europe. The urban regions were selected through a multi-stage strategy for empirical research (see Hersperger, A. M., Grădinaru, S., Oliveira, E., Pagliarin, S., & Palka, G. (2019). Understanding strategic spatial planning to effectively guide development of urban regions. Cities, 94, 96–105. https://doi.org/10.1016/j.cities.2019.05.032 ).

2. Background and aims of the study using the data set lsUDPs
As part of the CONCUR project, a specific task was to examine the relationship between strategic spatial plans and the formulation and implementation (i.e. urban land change) of large-scale urban development projects in Western Europe.
Strategic urban projects are typically large-scale, prominent urban transformations implemented locally with the aim to stimulate urban growth, for instance in the form of urban renewals of deprived neighborhoods, waterfront renewals and transport infrastructures. While strategic urban projects are referred to in the literature with multiple terms, in the CONCOR project we call them large-scale urban development projects (lsUDPs).
Previous studies acknowledged both local and supra-local (or structural) factors impacting the context-specific implementation of lsUDPs. Local governance factors, such as institutional capacity, coordination among public and private actors and political leadership, intertwine with supra-local conditions, such as state re-scaling processes and devolution of state competencies in spatial planning, de-industrialisation and increasing social inequality. Hence, in implementing lsUDPs, multi-scalar factors act in combination.
Because the formulation and implementation of lsUDPs require multi-scalar coordination among coalitions of public and private actors over an extended period of time, they are generally linked to strategic spatial plans (SSPs). Strategic spatial plans convey collective visions and horizons of action negotiated among public and private actors at the local and/or regional level to steer future urban development, and can contain legally binding dispositions, but also indicative guidelines.
The key question remains as to what extent large-scale urban development projects and strategic spatial plans can be regarded as aligned. By alignment, or “concordance”, we mean that strategic projects are formulated and implemented as part of the strategic planning process (“high concordance”), or that the strategic role of projects is reconfirmed in (subsequent) strategic plans (“moderate concordance”). Lack of concordance is found when lsUDPs have been limitedly (or not at all) acknowledged in strategic spatial plans.
We assume that certain local and supra-local factors, characterising the development of the projects, foster (but not strictly “cause”) the degree of alignment between lsUPDs and SSPs. In this study, we empirically examine how, and to what extent, the concordance between 38 European large-scale urban development projects and strategic plans (outcome: CONCOR) has been enabled by five multi-scalar factors (or conditions): (i) the role of the national state (STATE), (ii) the role of (inter)national private actors (PRIVATE), (iii) the occurrence of supra-regional external events (EVENTS), (iv) the degree of transport connectivity (TRANSP), and (v) local resistance from civil society (RESIST). We adopted a (multi-data) case-based qualitative strategy for empirical research and applied the formalised procedure of within- and cross-case comparison offered by fuzzy-set Qualitative Comparative Analysis appropriate for the goal of this study. Based on set theory, QCA formally integrates contextual sensitivity to case specificities (within-case knowledge) with systematic comparative analysis (across-case knowledge).
The research question the data set has been created to reply to is the following: which conditions, and combinations of conditions, enable the concordance between large-scale urban development projects and strategic spatial plans?
The conditions (“independent variables”) considered are. STATE: the set of large-scale urban projects characterized by a high degree of state intervention and support in their formulation and implementation, PRIVATE: the set of large-scale urban projects characterized by a high degree of involvement of (inter)national private actors in their formulation and implementation, EVENTS: the set of large-scale strategic projects whose formulation and implementation have been strongly affected by unforeseen international events and/or global trends, TRANSP: the set of large-scale strategic projects with a high degree of road and/or transit connectivity, and RESIST: set of large-scale strategic projects whose realization has been characterized by resistances that have substantially delayed or modified the project implementation.
The outcome (“dependent variable”) under analysis is CONCOR: the set of large-scale urban projects having a high degree of concordance/alignment/integration with strategic spatial plans

3. The data set lsUDPs

   3.1 Selection of cases and data collection
To generate the current data set on large-scale urban development projects in European urban regions (data set "lsUDPs"), we identified 35 large-scale urban development projects in a sample of the 21 Western urban regions considered in the CONCUR project (see supra, Hersperger et al. 2019): Amsterdam, Barcelona, Copenhagen, Hamburg, Lyon, Manchester, Milan, Stockholm, Stuttgart. The criteria we followed to identify the 35 large-scale urban development projects are: geographical location, size (large-scale), site (located either in the city core or in the larger urban region) and urban function (e.g. housing, transportation infrastructures, service and knowledge economic functions). Employing these criteria facilitated the selection of diverse large-scale urban development projects while still ensuring sufficient comparability.
In 2016, we performed 47 in-depth interviews with experts in urban and regional planning and large-scale strategic projects and infrastructure (i.e. academics and practitioners) about the formulation, implementation and development (1990s–2010s) of each project in each of the 9 selected urban regions. On average, each interviewee answered questions on 3.1 large-scale urban development projects. Three cases were subdivided into two cases because a clear differentiation between specific implementation stages was identified by the interviewees (expansion of the Barcelona airport, cases “bcn_airport80-90” and “bcn_airport00-16”; realisation of Lyon Part-Dieu, cases “lyo_partdieu70-90” and “lyo_partdieu00-16”; MediaCityUK, cases “man_salfordquays80-00” and “man_mediacityuk00-16”). Therefore, from the initial 35 cases, the final number of analysed cases in the lsUDPs dataset is 38.

    3.2 The data set lsUDPs: Data management and operationalisation
Interviews were fully transcribed and analysed through MAXQDA (version 12.3, VERBI GmbH, Berlin, Germany), and intercoder agreement was evaluated on a sample of nine interviews. We also compiled “synthetic case descriptions” (SCD) for each case (totalling more than 160 SCDs) to spot potential inconsistencies among interviewees’ accounts and to facilitate completion of the “calibration table” for each case (see below). An online expert survey distributed to the interviewees (response rate 78%) helped systematise the information collected during the interviews. We also consulted both academic and gray literature on the case studies to check for possible ambiguity and inconsistencies in the interview data, and to solve discrepancies between our assigned set membership scores and questionnaire values. Site visits were also carried out to retrieve additional information on the selected cases.
For each case (i.e. each of the 38 selected large-scale urban development projects), we operationalised each condition (i.e. STATE, PRIVATE, EVENTS, TRANSP, RESIST) and the outcome (CONCOR) in terms of sets, for subsequent application of Qualitative Comparative Analysis. This process is called “calibration”; we used a number of indicators for each condition to qualitatively assess each large-scale project across the conditions. The case-based qualitative assessment was then transformed into fuzzy-set membership values. Fuzzy-set membership values range from 0 to 1, and should be conceived as “fundamentally interpretative tools” that “operationalize theoretical concepts in a way that enhances the dialogue between ideas and evidence” (Ragin 2000:162, in “Fuzzy-set Social Science”. Chicago: University Press). We employed a four-value fuzzy-set scale (0, 0.33, 0.67, 1) to “quantify” into set membership scores the individual histories of cases retrieved from interview data. Only the condition TRANSP was calibrated as a crisp-set (0, 1).
The translation of qualitative case-based information into numerical fuzzy-set membership values was iteratively performed by populating a calibration table following standard practices recently emerged in QCA when dealing with qualitative (interview) data.

europe

display_name: europe

land-use-change

display_name: land-use-change

land-use-transformations

display_name: land-use-transformations

large-scale-urban-development-projects

display_name: large-scale-urban-development-projects

spatial-planning

display_name: spatial-planning

strategic-projects

display_name: strategic-projects

strategic-spatial-planning

display_name: strategic-spatial-planning

urban-transformations

display_name: urban-transformations

en: lsUDPS Large-scale urban development projects in European urban regions


en: colonisation sloss biodiversity habitat-availability habitat-heterogeneity dead-wood saproxylic-beetles forest-management conservation

state: active

type: dataset

en: Community matrix (saproxylic beetles)

en: Abundances of saproxylic beetle species for each branch bundle

format: XLS

en: Variable description

en: Detailed description of the forest and environmental variables

en: Forest and environmental variables

en: Data on the branch bundle, forest and environmental variables

en: Community matrix (all beetles)

en: Abundances of all beetle species for each branch bundle

en:
The data was generated during a landscape experiment performed on 69 plots in Sihlwald forest between 2016 and 2019. Branch bundles of different sizes consisting of beech branches were exposed in the forest for one year to be colonized by saproxylic beetles and later reared for one year in emergence traps. All beetles emerging from the branches were collected. Overall 244 branch bundles are included and we found 66 beetles species (23511 individuals) of which 43 were classified as saproxylic (20873 individuals).
 Species data (2 tables)
Two community matrices (including abundance): one for saproxylic beetles and one for all beetles. Beetles were classfied as saproxylic following an extended list of the list reported in Schmidl & Bussler (2004).
 Model data (1 table)
*Response variables*
Species richness and abundance of (saproxylic) beetles.
*Branch bundles*
Branch bundles consisted of 1, 3, 6 or 12 branches and each bundle size was installed at each of the 69 plots. The bundles consisted of standardized freshly cut beech branches (Fagus sylvatica) with a length of 80 cm and a diameter between 3 and 6 cm. Total surface and volume of each bundle is reported.
*Tree on which the bundle was installed*
Information on the tree to which the bundles were attached (tree species, dbh, distance and azimut from the plot center).
*Temperature and light availability*
Temperature (plot level) and light availability (bundle level) were calculated.
*Deadwood availability in the landscape*
Based on a map of lying dead wood, dead wood amount and isolation were calculated for concentric circles with a radius ranging from 20 to 200 m (in 10 m steps) around each branch bundle.
 Variable descriptions (1 table)

biodiversity

display_name: biodiversity

colonisation

display_name: colonisation

conservation

display_name: conservation

dead-wood

display_name: dead-wood

forest-management

display_name: forest-management

habitat-availability

display_name: habitat-availability

habitat-heterogeneity

display_name: habitat-heterogeneity

saproxylic-beetles

display_name: saproxylic-beetles

sloss

display_name: sloss

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

value: Envidat Harvester

key: uri

en: Beetle communities reared from beech branches and associated forest and environmental variables


en: aerodynamic-entrainment drifting-snow large-eddy-simulation splash saltation-parameterizations snow-saltation

media_type: application/zip

en: Code and input files to reproduce the simulations in Melo et al. (2024), as well as the post-processing scripts used in the analysis.

format: ZIP

en:
This dataset includes the necessary files to reproduce the results presented in Melo et al. (2024):
- code version used in the simulations (also available at the institutional [GitLab repository](https://gitlabext.wsl.ch/atmospheric-models/les-lsm) - tag 'r2024')
- input files to run the simulations
- post-processing scripts (MATLAB and FORTRAN)
- selected raw output files
- post-processed results (MATLAB data files).
 	**Note:** Direct model outputs are not provided because of their size, but they can be shared upon request. They can be reproduced by running the code. The post-processed results allow you to reproduce all figures in Melo et al. (2024).

aerodynamic-entrainment

display_name: aerodynamic-entrainment

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

saltation-parameterizations

display_name: saltation-parameterizations

snow-saltation

display_name: snow-saltation

splash

display_name: splash

en: Understanding snow saltation parameterizations - Reproducibility


data-interactive-avalanche-segmentation

title_for_slug: data-interactive-avalanche-segmentation

en: avalanche deep-learning snow interactive segmentation

en:
Images and corresponding avalanche annotations used for interactive avalanche segmentation:
SLF train, vali and test
WebNew
GroundPic
UserPic
UIBK dataset: List of images used
Pictures are from SLF (mostly from the Dischma Cams) if not otherwise indicated. If used, the data needs to be properly cited!

avalanche

display_name: avalanche

deep-learning

display_name: deep-learning

interactive

display_name: interactive

segmentation

display_name: segmentation

snow

display_name: snow

en: Data interactive avalanche segmentation


maintainer: Mahdi Jafari

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

en: snowpackBuoyantPimpleFoam

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

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

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

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport

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


digitizing-historical-plague

maintainer: Christian Ginzler

title_for_slug: digitizing-historical-plague

en: plague-inventory black-death plague-mapping bubonic-plague historical-plague palaeo-epidemiology yersinia-pestis plague-outbreaks

en: We present newly digitized data on 6,929 plague outbreaks that occurred between 1347 and 1900 AD across Europe. The data base on an inventory initially published 1976. For georeferencing the information of Tele Atlas 2009 was used. The coordinates are in the reference systems ETRS89 and WGS84.

mimetype: application/zip

black-death

display_name: black-death

bubonic-plague

display_name: bubonic-plague

historical-plague

display_name: historical-plague

palaeo-epidemiology

display_name: palaeo-epidemiology

plague-inventory

display_name: plague-inventory

plague-mapping

display_name: plague-mapping

plague-outbreaks

display_name: plague-outbreaks

yersinia-pestis

display_name: yersinia-pestis

en: Digitizing historical plague


en: drifting-snow meteorological-measurements blowing-snow atmospheric-turbulence antarctica

en: (b) SPC time series

en: Data from the snow particle counters with 1-s intervals.

en: (c) SPC average profiles

en: Average vertical profiles of the horizontal snow mass flux, particle number size distribution, and mean and standard deviation of the particle diameter.

en: (a) Metadata

en: General and specific metadata for all files.

en: (d) Sonic data 1

en: Ultrasonic anemometer data in the period from 30 September to 11 October 2000.

en: (k) Wind speed profiles

en: Average vertical profiles of horizontal wind speed based on the ultrasonic anemometer data.

en: (m) Weather observations

media_type: text/csv

en: Weather elements and phenomena observed by the Japanese Meteorological Agency.

format: CSV

en: (h) Sonic data 5

en: Ultrasonic anemometer data in the period from 6 to 13 November 2000.

en: (f) Sonic data 3

en: Ultrasonic anemometer data in the period from 21 to 30 October 2000.

en: (e) Sonic data 2

en: Ultrasonic anemometer data in the period from 11 to 21 October 2000.

en: (l) AWS data

en: Automatic weather station data with 10-min intervals.

en: (g) Sonic data 4

en: Ultrasonic anemometer data in the period from 30 October to 6 November 2000.

en: (j) Spike percentage

en: Percentage of spikes removed from the ultrasonic anemometer data per 5-min interval.

en: (i) Sonic data 6

en: Ultrasonic anemometer data in the period from 13 to 18 November 2000.

en:
This data was collected at Mizuho Station (44.315°E, 70.71°S, 2230 m a.s.l.), East Antarctica, from **30 September to 22 November 2000** during the 41st Japanese Antarctic research expedition. Vertical profiles of the horizontal mass flux and particle number size distribution of drifting and blowing snow were measured in the lowest 10 m of the atmosphere using four **snow particle counters** (SPCs). Three 3-dimensional **ultrasonic anemometers** were deployed in the lowest 25 m of the atmosphere to record the wind velocity components and sonic temperature at a high frequency of 100 Hz. Additionally, an **automatic weather station** provided air temperature, relative humidity, air pressure, shortwave and longwave downward and upward radiation fluxes, surface temperature, snow temperatures at depths of 0.1 and 0.4 m below the surface, wind speed, and wind direction. The data is complemented by **weather observations** performed twice to eleven times per day by the Japanese Meteorological Agency.
Most of the time, the lowest SPC was situated at a height of 0.05 or 0.1 m above the snow surface. During certain periods called profile runs, the height of the lowest SPC was systematically varied between 0.02 and 0.2 m to increase the vertical resolution of the measured profiles. The other SPC's were installed at fixed heights of 1.1, 3.1, and 9.6 m. During each profile run, the lowest SPC was kept at a specific height for approximately 10 min before changing the height. If the wind speed remained approximately constant throughout a profile run, the data was used to compute the average snow-transport profile in that period. In total, 24 of such average profiles were obtained. A part of these SPC measurements are discussed in Nishimura and Nemoto (2005).
The ultrasonic anemometers were placed at heights of 0.3, 1, and 25 m. However, the height of the lowest ultrasonic anemometer was changed several times in the measurement period and ranged from 0.05 to 0.32 m. On top of that, 19 short periods (each lasting 15 to 160 min) were used to systematically vary the height of the lowest ultrasonic anemometer and thus increase the vertical resolution of the measured wind speed profile. Occasionally, drifting and blowing snow particles perturbed the ultrasonic measurement signal and electrically-charged particles caused an electric charge of the anemometers, leading to artifacts such as spikes and dropouts in the measured time series. These artifacts were largely removed and replaced by NaN, using the statistical spike removal algorithm of Mauder et al. (2013). However, the artifact removal was sometimes incomplete for the lowest anemometer because of very intense snow transport close to the surface. While temporal averages are barely affected by the artifacts, the high-frequency data of the lowest anemometer should be used carefully when computing turbulent fluxes using the eddy-covariance method. Further important explanations are provided in the file Readme.pdf in data resource '(a) Metadata'.
References
- Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H.P., Schmidt, M., Steinbrecher, R. (2013). A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements. Agric For Meteorol 169:122–135. https://doi.org/10.1016/j.agrformet.2012.09.006
- Nishimura, K., Nemoto M. (2005). Blowing snow at Mizuho station, Antarctica. Phil. Trans. R. Soc. A. 363: 1647–1662. https://doi.org/10.1098/rsta.2005.1599

antarctica

display_name: antarctica

atmospheric-turbulence

display_name: atmospheric-turbulence

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

meteorological-measurements

display_name: meteorological-measurements

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Profile measurements of snow transport and micrometeorology at Mizuho Station in Antarctica


maintainer: EnviDat Support

en: ecology reef-fish dispersal biodiversity traits

media_type: text/plain

en: Dispersal parameter value d per simulation starting with a minimum dispersal value, where each species is able to colonise each adjacent cell, and ending with the value of d for which all the extant habitats, including the most remote Pacific islands, have been colonised (d ∈ [1.75°: 5.45°]).

format: TXT

mimetype: text/plain

en: Global species distribution of tropical reef fish species

en: Each species corresponds to a "Gaspar_code" gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013) and is linked to a specific Fishned ID corresponding to a specific Latitude and Longitude.

mimetype: text/csv

en: Functions used in R scripts in: Donati et al. 2019 "A process-based-model supports an association between  # dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019

en: Functions for Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

format: SERVICE

en: Coral reef grid cells (shape, dbf, etc. files)

en:
Grid cells of 5 × 5°, corresponding to circa 555 × 555 km at the Equator (see Parravicini et al. 2013, Leprieur et al. 2016)

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef sh species richness. – Ecography 36: 1254–1262.

Leprieur, F. et al. 2016. Plate tectonics drive tropical reef biodiver- sity dynamics. – Nat. Commun. 7: 11461.

en: Global simulated distribution of species under a range of dispersal parameter values

en:
Global distribution of simulated species richness under a range of dispersal parameter values d
d ∈ [1.75°: 5.45°].

en: Input for spatial congruence test overlap between proportions of low and high dispersal and observed low- and high- dispersal-related traits in assemblages (30-50% threshold). see Table 2.

en: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html used in the Figures

en: Main text figures

en: R Script used for figures in main text in: Donati et al. 2019: "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

en: Supplementary material Appendix 1 Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages". accepted in Ecography, August 2019

en: Tropical reef fish trait data

en:
Species trait (i.e. adult body size, home range mobility behaviour, circadian activity and schooling) data gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013).

Kulbicki, M. et al. 2013. Global biogeography of reef shes: a hier- archical quantitative delineation of regions. – PLoS One 8: e81847.

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef sh species richness. – Ecography 36: 1254–1262.

To complement the trait data with Pelagic Larval Duration information refer to the following publication:

Luiz, Osmar J., et al. "Adult and larval traits as determinants of geographic range size among tropical reef fishes." Proceedings of the National Academy of Sciences 110.41 (2013): 16498-16502.

In Donati et al. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography in August 2019, we used the PLD gathered from Luiz et al. 2013 as described in the methods - section "Species trait data".

en: Input for the Global distribution maps for proportions of species richness for (a) simulated dispersal parameter value (b) observed dispersal-related traits

en: Geographic distribution data (species richness and proportions of high/low dispersal-related traits) on predominantly low dispersing and high dispersing species expected based on the simulations, and those where low- and high- dispersal related traits values are observed for the five investigated traits.

en: Simulated rates of speciation and extinction under a range of dispersal parameters. Net diversification rates are calculated from the difference between speciation and extinction rates. This data allows the creation of Figure A4 in Supporting information, Appendix 1.

en: Donati et al. main script

en:
Main script used in : Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages"
accepted in Ecography, August 2019

en:
This dataset contains all data and R codes (R Development Core Team, https://www.R-project.org) used in the following publication: Donati GFA, Parravicini V, Leprieur F, Hagen O, Gaboriau T, Heine C, Kulbicki M, Rolland J, Salamin N, Albouy C, Pellissier L. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted by Ecography in August 2019. When using this data and R scripts the above publication should be cited.

The interaction of habitat dynamics with species dispersal abilities could generate gradients
in species diversity and prevalence of life-history and ecological traits, when the latter are associated with dispersal potential. In this dataset, we use a spatial mechanistic model of speciation, extinction and dispersal, constrained by a dispersal parameter. This model allows to simulate the interplay between reef habitat dynamics over the past 140 million years and dispersal, shaping lineage diversification history and global assemblage composition of over 6000 tropical reef fish species. Global trait distribution data of tropical reef fish are used to evaluate the congruence between simulations and observations.

biodiversity

display_name: biodiversity

dispersal

display_name: dispersal

ecology

display_name: ecology

reef-fish

display_name: reef-fish

traits

display_name: traits

en: Simulated and observed prevalence of dispersal-related traits in tropical reef fish assemblages worldwide


en: snow-hydrology snow-depth-distribution avalanches photogrammetry davos dischma

en: Snowdepth maps

format: GeoTIFF

en:
The available datasets are snow depth maps with a spatial resolution of 0.5 m derived from images of the survey camera Vexcel Ultracam mounted on a piloted airplane. Image acquisition was carried out during the approximately peak of winter (time when the thickest snowpack is expected) in spring. The snow depth maps are calculated by the subtraction of a summer-DTM from the processed winter- DSM of the corresponding date. The summer-DTM used was derived from a point cloud of an airborne laser scanner from 2020.

Due to the occurrence of inaccuracies of the calculated snow depth values caused by the photogrammetric method, we applied different masks to significantly increase the reliability of the snow depth maps. We masked out settled areas, high-frequented streets and technical constructions, pixels with high vegetation (height > 0.5 m) , outliers and unrealistic snow depth values. In addition, we modified the snow depth values of snow-free pixels to 0.
The information on buildings and infrastructure comes from the exactly classified ALS point cloud and the TLM dataset from Swisstopo (https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html#links). High vegetation is also derived from the classification and the calculated object height from the point cloud.
Outliers and unrealistic snow depth values are defined as negative snow depth values and snow depths exceeding 10 m. The classification of each pixel of the corresponding orthophoto into snow-covered or snow-free is based on the application of a threshold of the NDSI or manually determined ratios of the RGB values.

An extensive accuracy assessment proves the high accuracy of the snow depth maps with a root mean square error of 0.25 m for the year 2017 and 0.15 m for the following snow depth maps.

The work is published in:

avalanches

display_name: avalanches

davos

display_name: davos

dischma

display_name: dischma

photogrammetry

display_name: photogrammetry

snow-depth-distribution

display_name: snow-depth-distribution

snow-hydrology

display_name: snow-hydrology

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Snow depth mapping by airplane photogrammetry (2017 -  ongoing)


en: snow snow-temperatures snow-models snow-cover snowpack

en: Metadata 1991

en: Dataset 1991

en:
During the development of DAISY, the snowpack model we
realised that we did not have enough accurate calibration measurements. We
needed more reliable measurements of snow temperatures and settlements
within the snow cover.

Therefore, from winter 1990/91 the thermal development of the season snow
cover in the test field with self-developed temperature harps was measured.
These temperature harps can move freely with the snow cover, in contrast to
the usually fixed temperature profiles.

With these harps, it became possible to monitor the temperatures and
settlements of the individual layers throughout the winter.

Additionally, the surface temperature, snow level and the usual
meteorological parameters such as air temperature, humidity, wind speed and
the radiation in various wavelength ranges were measured.

Furthermore, conventional snow profiles were recorded with measurements of
densities, hardness, grain sizes and grain shapes.

During three winters, this facility was intensively used for monitoring
purposes. The support and monitoring of these measurements and the
accompanying, very time-intensive manual measurements were carried out by
Peter Weilenmann and Franz Herzog.

The results of these measurements in winter 1990/91, 1991/92 and 1992/93
are given in the internal report No. 723.

The use of these measurements for the validation of DAISY and MiniDAISY are
gathered internally in report No. 724..726.

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-models

display_name: snow-models

snow-temperatures

display_name: snow-temperatures

snowpack

display_name: snowpack

en: WFJ_CAL: Calibration dataset for snow models


en: scenario visualization policy-action climate-change landscape-change

en: Seeland subtitles DE

en:
Scenarios of landscape change under climate change in the Swiss lowlands.
Trailer in German with subtitles.

en: Entremont subtitles DE

en:
Scenarios of landscape change under climate change in the Swiss mountains.
Trailer in German with written subtitles.

en: Entremon subtitles FR

en: Scenarios of landscape change under climate change in the Swiss mountains. Trailer in French with subtitles.

en: Seeland subtitles FR

en:
Scenarios of landscape change under climate change in the Swiss lowlands.
Trailer in French with subtitles.

en:
Short videos showing scenarios of potential landscape development in a 4°C warmer climate for a Swiss mountain region and a region on the Swiss Plateau. The videos are in German or French with subtitles.
The videos' key message is: Climate change will have an impact on the Swiss landscapes. However, according to the strategy chosen to adapt to climate change, society and politics will also have a strong influence on the future landscapes and the services they will provide. If no action is taken to adapt to climate change today, then society will have to react in a hurry at a later point in time. This can often result in resource-intensive technical solutions. Conversely, if society takes action in an anticipatory way already today, nature-based solutions can be implemented more successfully and humans can benefit more from the landscape services..
These short videos are teasers that should make the viewers curious to visit the panorama pictures (https://viergrad.envidat.ch/).

climate-change

display_name: climate-change

landscape-change

display_name: landscape-change

policy-action

display_name: policy-action

scenario

display_name: scenario

visualization

display_name: visualization

en: Teaser videos Swiss landscapes under climate change


en: crystallographic fem microstructure anisotropy elasticity geometrical x-ray-tomography

en:
The study aims to determine the effective elastic properties of snow, firn, and bubbly ice based on microstructural quantities. Anisotropy, one of these quantities (the other being ice volume fraction) in snow and ice, has two types: geometrical and crystallographic, resulting in snow's macroscopic anisotropic elastic behavior. The research focuses on the impact of geometrical anisotropy on potential ice volume fractions in snow and ice. 391 micro-CT images from various locations, including laboratories, the Alps, the Arctic, and Antarctica, were analyzed to achieve this.
 The analysis involved microstructure-based finite element simulations, which inherently consider microstructure and calculate the elasticity tensor. Hashin-Shtrikman bounds were utilized to predict the elastic properties of the microstructure samples. These bounds effectively captured the nonlinear interplay between geometrical anisotropy, captured by the Eshelby tensor and density. HS bounds have the advantage of the correct limiting behavior for low to high-ice volume fractions.
 We derived parameterization for five transversely isotropic elasticity tensor components, requiring only two free parameters. This parameterization was valid for ice volume fractions ranging from 0.06 to 0.93. The analysis employing the Thomsen parameter highlighted the dominance of geometrical anisotropy until an ice volume fraction of 0.7. However, to fully comprehend the elasticity of bubbly ice, a comprehensive approach is necessary to integrate coupled elastic theories that account for both geometrical and crystallographic anisotropy.
This dataset includes a Jupyter notebook with all the necessary functions required to predict the elasticity tensor of snow for the given ice volume fraction and anisotropy. Also, the code contains the least squares optimization function to compute the elasticity tensor for the six components of stress and strain. For example, we consider our dataset to calculate the samples' elasticity tensor and reproduce Fig. 7 from the paper. We take the stress and strain values obtained from load states as input for this example.
Also, a .csv file contains all the microstructural information: ice volume fraction, anisotropy, correlation functions, voxels size, and no. of voxels of the samples and the elasticity tensor obtained from finite element simulations and from present work parameterization.

anisotropy

display_name: anisotropy

crystallographic

display_name: crystallographic

elasticity

display_name: elasticity

fem

display_name: fem

geometrical

display_name: geometrical

microstructure

display_name: microstructure

x-ray-tomography

display_name: x-ray-tomography

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Effective, anisotropic elasticity tensor of snow, firn, and bubbly ice


maintainer: Benjamin Reuter

en: snow-instability crocus avalanche-activity avalanche-problem-type weissfluhjoch snow snow-cover-modeling snowpack avalanche-danger avalanche

en: 2015-2016 Avalanche problem types from SNOWPACK

en:
Avalanche problem types were derived from a snow cover simulation with the model SNOWAPCK for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en: 2015-2016 Avalanche problem types from Crocus

en:
Avalanche problem types were derived from a snow cover simulation with the model Crocus for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en: 2015-2016 Seismic avalanche acitivity catalogue

en:
Avalanches were indentified in seismic data recorded by two seismic arrays, one deployed at Wannengrat (2,500 m) and another one deployed in the Dischma valley (2,000 m).
The data cover the period from 01.01.2016 - 30.04.2016 and are presented in Figure 7 in Reuter et al. (2021).

en: 1999-2017 Avalanche problem types from Crocus

en:
Avalanche problem types were derived from snow cover simulations with the model Crocus at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are presented in Figure 8 in Reuter et al. (2021).

en: 1999-2017 Avalanche problem types from SNOWPACK

en:
Avalanche problem types were derived from snow cover simulations with the model SNOWPACK at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are shown in Figure 8 in Reuter et al. (2021).

en:
Avalanche problem types were derived from snow cover simulations with the models Crocus and SNOWPACK at the Weissfluhjoch study plot, Davos, CH. The data include annual frequencies of avalanche problem types for the seasons 1999-2017 and daily presence of avalanche problem types for the period 01.01.2016 - 30.04.2016.
Avalanche activity was derived from two seismic sensor arrays deployed no further than 15 km from Weissfluhjoch, Davos, CH. The data cover the period 01.01.2016 - 30.04.2016.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

avalanche-danger

display_name: avalanche-danger

avalanche-problem-type

display_name: avalanche-problem-type

crocus

display_name: crocus

snow

display_name: snow

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

weissfluhjoch

display_name: weissfluhjoch

en: Simulated avalanche problem types and seismic avalanche activity around Weissfluhjoch


maintainer: Frank Techel

en: avalanche-forecast verification avalanche-bulletin avalanche-forecasting avalanche-danger-level

en: D_QC for forecasting seasons 2020/2021 - 2022/2023.

en: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

en: D_QC for forecasting seasons 2001/2002 until 2019/2020.

en:
The data set contains the re-analyzed (or quality-checked) regional avalanche danger levels (D_QC) for Switzerland.

D_QC relates to dry-snow avalanche conditions only. Measuring the avalanche danger level D is not possible; forecast, nowcast, and hindcast assessments of D are judgments by humans interpreting data. However, combining several pieces of information indicating the same D, it can be expected that it is more likely that D_QC represents the avalanche conditions well.

For the **forecasting seasons 2001/2002 until 2019/2020**, the approach to obtain D_QC is described in detail in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

For the **forecasting seasons 2020/2021 and later**, D_QC is derived using the following approach:
1. *Combination of forecast (D_forecast) and nowcast (D_nowcast)*: If there was only one assessment available by an observer after a day in the field for a region, and if D_forecast = D_nowcast --> D_QC = D_forecast.
2. *Combination of several nowcast assessments (D_nowcast)*: If two (or more) observers agreed (or majority opinion) in their (independent) assessments of D_nowcast after a day in the field in the same warning region. --> D_QC = D_nowcast.
3. *Hindcast analysis (D_hindcast)*: In Switzerland, avalanche forecasters re-evaluate all situations when D = 4 (high) or D = 5 (very high) were either forecast, should have been forecast, or when forecasters discussed given one of these two levels but had not given them. Generally, two forecasters assess each situation. In these cases, D_QC = D_hindcast. The hindcast analysis, only available since the forecasting season 2020/2021, replaces what was step (2) in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

All other cases - ties in case of (1) or (2), no new information from the warning region in question, or if no D_hindcast was available - are not considered quality-checked, and are, thus, not contained in the data set.

In addition to D_QC, the file contains information on the elevation and aspect, where D_QC likely prevails.
- The indicated elevation is the mean of the respective elevations in (1), (2), or (3). At danger level 1 (low), when no elevation is indicated in the Swiss forecast, a value of 1500 m is set.
- For the four cardinal aspects N, E, S, and W, a value of 1 means that there was agreement that D was reached in this aspect and a value of 0 means that there was agreement that D was not reached in this aspect. Intermediate values correspondingly mark disagreements in the assessments.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification

educ

en: Education, culture and sport

en: Re-analyzed regional avalanche danger levels in Switzerland


maintainer: EnviDat

en: meteorological-data-format research-data-management csv nead metadata-convention

en: MeteoIO (future reference implementation)

media_type: text/html

format: HTML

mimetype: text/html

en: NEAD on GitHub

en: NEAD syntax v0.1 (EBNF)

en: PyNEAD (future reference implementation)

en:
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

-----------------------

Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories.

License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management

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: Non-Binary Environmental Archive Data (NEAD) format


en: norway avalanche-observations rutschblock-test switzerland avalanche-danger extended-column-test

en: Rutschblock data (Switzerland)

en: ECT data (Norway, Switzerland)

en: avalanche occurrence data (Norway, Sitzerland) - avalanche sizes per day and warning region

en: avalanche occurrence data (Norway, Sitzerland) - largest avalanche size per day and warning region

en:
Observational data used to quantitatively describe the key elements describing avalanche danger: snowpack stability, the frequency distribution of snowpack stability, and avalanche size.
The data set consists of
- Rutschblock test results (Switzerland)
- Extended Column Test results (Switzerland, Norway)
- Avalanche occurrence data (Switzerland, Norway).
The data were extracted from the respective operational databases of the national avalanche warning services in Switzerland (WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland) and Norway (The Norwegian Water Resources and Energy Directorate NVE).
For further information regarding the data, please refer to the publication or contact the author.

avalanche-danger

display_name: avalanche-danger

avalanche-observations

display_name: avalanche-observations

extended-column-test

display_name: extended-column-test

norway

display_name: norway

rutschblock-test

display_name: rutschblock-test

switzerland

display_name: switzerland

en: Stability tests, avalanche observations, Switzerland, Norway


maintainer: Avalanche Warning Service SLF

en: Avalanche fatalities per year in Switzerland since 1936/1937

en:
Attention: this data is not updated after 2022 anymore.
This dataset contains the statistics on the number of avalanche fatalities per hydrological year in Switzerland. The data set commences with the beginning of the hydrological year 1936/37 on 01/10/1936. After the completion of a hydrological year, the new data is appended to the existing dataset.
The following information is contained (by column and column title):
 - hydrological year
 - number of fatalities in the backcountry (=tour)
 - number of fatalities in terrain close to ski areas (=offpiste)
 - number of fatalities on transportation corridors including ski runs, roads, railway lines (=transportation.corridors)
 - number of fatalities in or around buildings or in settlements (= buildings)
 - sum (of all four categories)
The definition for these four categories as described in the guidelines to the avalanche accident database:
**tour**:
activities include back-country ski, snowboard or snow-shoe touring
**offpiste**:
access from ski area, generally from the top of a skilift with short hiking distances
**transportation.corridors** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people travelling or recreating on open or temporarily closed
transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)
**buildings** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people inside or just outside buildings, and workers on high alpine building
sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

educ

en: Education, culture and sport

en: Number of avalanche fatalities per hydrological year in Switzerland since 1936-1937


soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

label: geocat.ch permalink

de: AGIS Direktdownload

de: Archäologische Fundstellen

format: WMS

de: Der Datensatz enthält archäologische Fundstellen als interpretierte Flächen, wobei unterschieden wird zwischen Stätten, die sicher grossflächig sind (A-Fundstellen: z.B. Bauten/Siedlungen, Gräber/Friedhöfe), und Einzelfund-Stellen, die auf grossflächige Fundstellen hinweisen können (B-Fundstellen: z.B. Steinbeil). Die interpretierte Darstellung von archäologischen Fundstellen basiert auf Ausgrabungen und auf aktenkundigen Fundmeldungen, die teilweise bis zu 200 Jahre alt sind, vereinzelt auch auf Flurnamen (z.B. Muracher); sehr alte Fundmeldungen lassen sich manchmal nur schwierig interpretieren und ungenau lokalisieren. Der erste Durchgang der kantonsweiten Erfassung ist Ende 2005 abgeschlossen worden; die Ausarbeitung und Nachführung wird laufend zu Ergänzungen und einzelnen Änderungen führen. Angaben über Datierung, Art, Umfang und Erhaltungsgrad einer Fundstelle können über die Fundstellennummer, die als Attribut auch im GIS-Datensatz enthalten ist, auf Anfrage erschlossen werden.

de: AGIS Service Center Kanton Aargau

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

political_level: canton

value: Aargau-Kt - Geocat Harvester


envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: Planungszonen

de: Planungszonen sind Gebiete, in denen ein vorsorgliche Bauverbot gilt. Müssen Nutzungspläne angepasst werden oder liegen keine vor, so kann die zuständige Behörde für genau bezeichnete Gebiete Planungszonen bestimmen. Innerhalb der Planungszonen darf nichts unternommen werden, was die Nutzungsplanung erschweren könnte. Planungszonen sind auf maximal 5 Jahre befristet.


okoinfomobil

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

title_for_slug: okoinfomobil

de: oekomobil okomobil

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

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

de: WMS OekoInfoMobil

de: Web Map Services WMS

de: WFS OekoInfoMobil

de: Web Feature Services WFS

format: WFS

de: Haltestellen, an welchen das ÖkoInfoMobil einmal die Woche für 20 Minuten hält und kleine Abfallmengen entgegennimmt. Der Fahrplan ist fix und die Haltezeiten für die jeweiligen Standorte sind angegeben. Die Mitarbeitenden im Mobil beraten kompetent zu Entsorgungsfragen.

spatial: Stadt Bern

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

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

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

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

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

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: ÖkoInfoMobil


abfallanlagen-und-sammelstellen

educ

de: Bildung, Kultur und Sport

regi

de: Regionen und Städte

title_for_slug: abfallanlagen-und-sammelstellen

de: abfall-sammelstelle abfallanlage

de: WMS Abfallsammelstellen

de: WFS Abfallsammelstellen

de: Standorte der Entsorgungshöfe und öffentlichen Sammelstellen in der Stadt Bern. Informationen, welche Abfallarten abgegeben werden können. Die Standorte von privaten Unterflursammelstellen für Kehricht und Papier/Karton werden nicht abgebildet.

de: Abfallanlagen und Sammelstellen


friedhofe

soci

de: Bevölkerung und Gesellschaft

title_for_slug: friedhofe

de: bremgartenfriedhof bumplizfriedhof friedhof friedhofe schosshaldenfriedhof

de: Map (Preview) Stadtplan

de: WMS Friedhoefe

de: WFS Friedhoefe

de: Friedhofstandorte (Punkte) und deren Perimeter (Flächen) in der Stadt Bern.

de: Friedhöfe


wasserrechte

envi

de: Umwelt

title_for_slug: wasserrechte

de: konzession wasserrecht entnahme ruckgabe kanal wasserrechtskanal stauwehr stauwehrreglement wasserrechtskonzession eheliche-konzession wasserrechtsbezirk wasserrechtsnummer

fr: WFS für Open-Government-Data des Kantons Zürich (OGD ZH WFS)

fr: Öffentliche Oberflächengewässer, Gewässerraum und Wasserrechte

fr: Die konzessionierten Wasserrechte wurden ab 1997 mit den öffentlichen Oberflächengewässern im GIS erfasst und werden seit 1998 als eigener Datensatz in Abstimmung zu den öffentlichen Oberflächengewässern vom AWEL, Abt. Wasserbau nachgeführt. Seit Januar 2022 werden aktive und gelöschte Wasserrechte in getrennten Datensätzen zu Verfügung gestellt. Die Daten sind auf dem SDE Server vom GIS-ZH abgelegt unter: GISZHPUB.WASSERRECHTE_F für die Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_F für die gelöschten Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_L für die Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_L für die gelöschten Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_P für die Entnahme- und Rückgabeorte (Punktdaten) GISZHPUB.WASSERRECHTE_GELOESCHT_P für die gelöschten Entnahme- und Rückgabeorte (Punktdaten)

spatial: Kanton Zürich

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.

value: ZH - Geocat Harvester

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


fr: WMS Hanglagen, Landwirtschaftliche Zonengrenzen, Liegenschaften und Bodenbedeckung (OGD)


wms-administrative-einteilungen-ogd

title_for_slug: wms-administrative-einteilungen-ogd

fr: Administrative Einteilungen

de: Administrative Einteilungen

en: Administrative Einteilungen

it: Administrative Einteilungen

fr: WMS Administrative Einteilungen (OGD)

de: WMS Administrative Einteilungen (OGD)

en: WMS Administrative Einteilungen (OGD)

it: WMS Administrative Einteilungen (OGD)


name: Ufficio di statistica del Canton Ticino (Ustat)

it: abitazione costruzioni-e-abitazioni

it: Questo archivio zip contiene un file csv con i risultati in forma lunga (con una sola colonna numerica) e un file txt con la descrizione del contenuto (metadati)

it: Questo archivio zip contiene un file xlsx con tre fogli: uno con i risultati statistici (Tabella), uno con l'elenco e la descrizione delle variabili (Definizioni) e uno con il titolo, la fonte e la data dell'ultima modifica (Informazioni).

it: Questo archivio zip contiene un cubo di dati in formato PC Axis px.

it:
Abitazioni occupate in edifici abitativi e densità di utilizzazione, secondo il tipo di edificio, l'epoca di costruzione e il numero di locali, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.09.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, dal 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Numero_locali: numero di locali dell'abitazione

Descrizione delle statistiche:
Abitazioni: numero di abitazioni
Densità_di_utilizzazione: numero medio di occupanti per abitazione

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=378&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Occupanti](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2661&tema=46)
[Locali](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=571&tema=46)
[Superficie](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=96&tema=46)
[Densità di utilizzazione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=333&tema=46)

abitazione

display_name: abitazione

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

ustat

it:
L'Ufficio di statistica del Cantone Ticino (Ustat) è il servizio centrale della statistica cantonale e il suo coordinatore ai sensi della [Legge sulla statistica cantonale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/basi-legali/leggi-cantonali) del 22 settembre 2009.

Nella prima veste l'Ustat produce e diffonde per la collettività e per lo Stato: dati, elaborazioni, contributi analitici di vario genere e livello di approfondimento, consulenze statistiche e tematiche, su praticamente tutti i settori della statistica pubblica.
Alla base di questi risultati vi è un'attività che copre tutte le fasi del processo statistico: dalla definizione del fabbisogno alla rilevazione, trattamento e validazione dei dati, alla loro archiviazione e documentazione, all'elaborazione, analisi ed interpretazione e alla diffusione dei risultati. Progressivamente, le attività di analisi e di ricerca tematica e la diffusione stanno progressivamente assumendo maggior peso.

Nella veste di coordinatore della statistica cantonale l'Ustat opera in prima misura attraverso la preparazione, l'aggiornamento annuale e la rendicontazione del [Programma pluriennale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/programma-dattivita/programma-pluriennale), in collaborazione con la [Commissione scientifica](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/la-commissione-scientifica) e gli altri attori della [statistica cantonale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/statistica-cantonale). L'Ustat assicura pure il coordinamento con l'esterno, in primis con il programma e l'attività della [statistica nazionale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/il-sistema-statistico), ma pure con gli altri servizi statistici e di ricerca regionali, nazionali e transfrontalieri.

value: DCAT Harvester Kt. TI


it: costruzioni-e-abitazioni abitazione

it:
Abitazioni occupate in edifici abitativi e superficie media per occupante, secondo il tipo di edificio, l'epoca di costruzione e la composizione del nucleo familiare, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.09.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, dal 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Composizione_del_nucleo_familiare: composizione del nucleo familiare che occupa l'abitazione

Descrizione delle statistiche:
Abitazioni: numero di abitazioni
Superficie_media: superficie media per occupante in metri quadrati

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

Nota:
La statistica "Occupanti" indica il numero complessivo di occupanti (individui ai quali è stato possibile attribuire un edificio e un'abitazione) presenti nella o nelle abitazioni conteggiate dalla statistica "Abitazioni". Questo significa che, a meno che vi sia una sola abitazione conteggiata, con "Occupanti" si intende la somma degli individui che si trovano nelle abitazioni conteggiate dalla statistica "Abitazioni". Inoltre, la sommadegli occupanti non è pari alla popolazione residente permanente, in quanto un individuo può essere conteggiato più volte.

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=378&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Occupanti](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2661&tema=46)
[Locali](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=571&tema=46)
[Superficie](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=96&tema=46)
[Composizione del nucleo familiare](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2664&tema=46)

soci

it: Popolazione e società

it: Ufficio di statistica del Canton Ticino (Ustat)


it:
Abitazioni occupate in edifici abitativi, occupanti e superficie media per occupante, secondo il tipo di edificio, l'epoca di costruzione e la superficie, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.03.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, dal 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Superficie_abitazione: superficie in metri quadrati dell'abitazione

Descrizione delle statistiche:
Abitazioni: numero di abitazioni
Occupanti: numero di occupanti nell'abitazione
Superficie_media: superficie media per occupante in metri quadrati

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

Nota:
La statistica "Occupanti" indica il numero complessivo di occupanti (individui ai quali è stato possibile attribuire un edificio e un'abitazione) presenti nella o nelle abitazioni conteggiate dalla statistica "Abitazioni". Questo significa che, a meno che vi sia una sola abitazione conteggiata, con "Occupanti" si intende la somma degli individui che si trovano nelle abitazioni conteggiate dalla statistica "Abitazioni". Inoltre, la sommadegli occupanti non è pari alla popolazione residente permanente, in quanto un individuo può essere conteggiato più volte.

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=378&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Occupanti](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2661&tema=46)
[Locali](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=571&tema=46)
[Superficie](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=96&tema=46)


it:
Abitazioni occupate in edifici abitativi, occupanti e superficie media per occupante, secondo il tipo di edificio, l'epoca di costruzione e il numero di locali, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.09.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, al 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Numero_locali: numero di locali dell'abitazione

Descrizione delle statistiche:
Abitazioni: numero di abitazioni
Occupanti: numero di occupanti nell'abitazione
Superficie_media: superficie media per occupante in metri quadrati

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

Nota:
La statistica "Occupanti" indica il numero complessivo di occupanti (individui ai quali è stato possibile attribuire un edificio e un'abitazione) presenti nella o nelle abitazioni conteggiate dalla statistica "Abitazioni". Questo significa che, a meno che vi sia una sola abitazione conteggiata, con "Occupanti" si intende la somma degli individui che si trovano nelle abitazioni conteggiate dalla statistica "Abitazioni". Inoltre, la sommadegli occupanti non è pari alla popolazione residente permanente, in quanto un individuo può essere conteggiato più volte.

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=378&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Occupanti](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2661&tema=46)
[Locali](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=571&tema=46)
[Superficie](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=96&tema=46)


it:
Abitazioni in edifici abitativi, secondo il tipo di edificio, l'epoca di costruzione, il numero di locali e la superficie, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.09.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, dal 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Numero_locali: numero di locali dell'abitazione
Superficie: superficie dell'abitazione in metri quadrati

Descrizione delle statistiche:
Abitazioni: numero di abitazioni

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

Nota:
Per contenere le dimensioni del cubo di dati, è proposta una serie storica dal 2014 in poi. Su richiesta, i dati sono disponibili dal 2009.

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=378&tema=46)
[Locali](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=571&tema=46)
[Superficie](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=96&tema=46)


it:
Edifici ad uso abitativo e occupanti, secondo il tipo, l'epoca di costruzione, il numero di piani e il numero di abitazioni, per comune, in Ticino, dal 2014 al 2023

[Fonte: Statistica degli edifici e delle abitazioni (SEA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=46&id=344&proID=316)
[Elaborazione: Ufficio di Statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)
Versione dei dati: 23.09.2024

Ultima modifica: 23.09.2024

Variabili presenti nel cubo di dati:
Anno: anno del rilevamento (al 31.12)
Comune: nome del comune dove si trova l'edificio (stato dei comuni politici - 106, dal 10.04.2022)
Tipo_edificio: tipo di edificio ad uso abitativo
Epoca_costruzione: epoca di costruzione dell'edificio
Numero_abitazioni: numero di abitazioni contenute nell'edificio
Numero_piani: numero di piani dell'edificio

Descrizione delle statistiche:
Edifici: numero di edifici
Occupanti: numero di occupanti nell'edificio

La colonna "info" contiene una delle informazioni seguenti:
ok: il dato è disponibile per l'incrocio delle variabili selezionate
...: dato non disponibile o senza senso
( ): dato non pubblicato per insufficiente attendibilità statistica
(cifra): affidabilità statistica del dato relativa (basato su un numero troppo basso di osservazioni)
X: dato non pubblicato per motivi legati alla protezione dei dati

Nota:
La categoria "0 abitazioni" nella variabile "Numero_abitazioni", comprende edifici parzialmente ad uso abitativo che hanno solo unità d’abitazione senza cucina o solo abitazioni di fortuna. Per contenere le dimensioni del cubo di dati, é proposta una serie storica dal 2014 in poi. Su richiesta, i dati sono disponibili dal 2009.

[Segni, simboli, abbreviazioni, sigle e concetti statistici usati nei prodotti dell'Ustat](http://www4.ti.ch/fileadmin/DFE/DR-USTAT/Prodotti/Definizioni/segni_sigle_simboli.pdf)

Glossario:
[Tipo di edificio ad uso abitativo](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2644&tema=46)
[Epoca di costruzione](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=379&tema=46)
[Abitazioni](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2641&tema=46)
[Occupanti](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.glossario&id=2661&tema=46)


equiden-namen-der-hengstfohlen

maintainer: Team Tierstatistik Identitas AG

title_for_slug: equiden-namen-der-hengstfohlen

fr: poulains-males equides noms animaux-de-rente animaux-de-compagnie

de: nutztiere namenshitparade heimtiere equiden hengstfohlen

en: colts equids livestock companion-animals names

it: animale-da-reddito nomi animale-da-compagnia puledri-maschi equidi

label: Interactive plot

label: Glossary / Documentation

identifier: equids-NamesMaleFoals

fr: Top 10 des noms donnés aux poulains mâles en année de naissance. Les animaux sans nom ou avec des noms "techniques" ne sont pas pris en compte dans la figure. La majorité des noms n'apparaissent qu'une seule fois et ne font pas partie du top 10.

en: Top 10 names for colts in the birthyear. Animals without names or with "technical" name designations are not considered in the graph. The majority of all names appear only once and do not make it into the top 10.

de: Top 10 Namen für Hengstfohlen im Geburtsjahr. Tiere ohne Namen oder mit «technischen» Namensbezeichnungen werden in der Darstellung nicht berücksichtigt. Die Mehrheit aller Namen kommt nur einmal vor und schafft es nicht unter die Top 10.

it: Top 10 dei nomi dati ai puledri maschi all'anno. Gli animali senza nome o con nomi "tecnici" non sono presi in considerazione nella figura. La maggior parte di tutti i nomi compare solo una volta e non entra nella top 10.

animale-da-compagnia

display_name: animale-da-compagnia

animale-da-reddito

display_name: animale-da-reddito

animaux-de-compagnie

display_name: animaux-de-compagnie

animaux-de-rente

display_name: animaux-de-rente

colts

display_name: colts

companion-animals

display_name: companion-animals

equiden

display_name: equiden

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

heimtiere

display_name: heimtiere

hengstfohlen

display_name: hengstfohlen

livestock

display_name: livestock

namenshitparade

display_name: namenshitparade

names

display_name: names

nomi

display_name: nomi

noms

display_name: noms

nutztiere

display_name: nutztiere

poulains-males

display_name: poulains-males

puledri-maschi

display_name: puledri-maschi

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

it: Identitas AG

fr: Identitas AG développe et exploite des applications pour l'identification, l'enregistrement et la surveillance des animaux de rente et de compagnie. En tant que prestataire leader de services IT en Suisse pour les données en rapport avec les animaux et la production végétale, nous contribuons à la création de valeur ajoutée pour la santé et le bien-être animale et pour la sécurité des denrées alimentaires. A notre siège à Berne, nous employons environ 110 collaborateurs.

en: Identitas AG develops and operates software for the identitfication, registration and monitoring of livestock and companion animals in Switzerland. As leader provider of IT services in Switzerland for data regarding animals and crops, we contribute to creating added value for animal health/ welfare and safe food. About 110 employees work in our headquarters in Berne.

de: Identitas AG entwickelt und betreibt Applikationen zur Identifizierung, Registrierung und zum Monitoring von Nutz- und Heimtieren. Als führender Schweizer IT-Dienstleister für Daten rund um das Tier und den Pflanzenbau schaffen wir Mehrwert für gesunde Tiere und sichere Lebensmittel. An unserem Sitz in Bern beschäftigen wir rund 110 Mitarbeitende.

it: Identitas AG sviluppa e gestisce applicazioni per l'identificazione, la registrazione e il monitoraggio degli animali da reddito e da compagnia. In qualità di fornitore di servizi informatici leader in Svizzera per i dati relativi agli animali e alla produzione vegetale, contribuiamo alla creazione di valore aggiunto per la salute e il benessere degli animali e la sicurezza alimentare. Nella nostra sede centrale di Berna abbiamo circa 110 dipendenti.

value: DCAT Harvester Identitas

fr: Équidés - Noms des poulains mâles

en: Equids - Names of colts

de: Equiden - Namen der Hengstfohlen

it: Equidi - Nomi di puledri maschi


fr: agnelage age caprins animaux-de-rente

de: ablammung ziegen alter nutztiere

en: lambing goats livestock age

it: eta animale-da-reddito parto caprini

identifier: goats-ageFirstKidding

fr: Répartition des âges à la première mise bas (APM, en mois) par an de l'abattage et par type d'utilisation de la chèvre. L'APM est représenté dans la fourchette de 10-40 mois sous la forme d'un boxplot. Pour déterminer l'APM, seuls les animaux nés à partir du 1.4.2018 sont pris en compte. L'identification et l'enregistrement individuels des petits ruminants ont été introduits en janvier 2020. Les analyses effectuées sur cette base de données peuvent encore présenter des biais. Le nombre d'observations par type d'utilisation et par année se trouve dans le .csv.

en: Distribution of the age at first kidding (AFK, in months) by year of slaughter and by type of use of the goat. The AFK is shown in the range of 10-40 months in the form of a boxplot. For the determination of the AFL, only animals born as of 1.4.2018 are taken into account. Individual identification and registration of small ruminants was introduced in January 2020. Analyses performed on this data may still show biases. The number of observations per year and by type of use can be found in the .csv.

de: Verteilung des Alters (in Monaten) von Ziegen beim ersten Wurf (AEW) nach Jahr der Schlachtung und nach Nutzungsart. Das AEW wird im Bereich von 10-40 Monaten in Form eines Boxplots wiedergegeben. Zur Bestimmung des AEW werden nur Tiere geboren ab dem 1.4.2018 berücksichtigt. Die Einzeltieridentifikation und -registrierung von Kleinwiederkäuern wurden im Januar 2020 eingeführt. Analysen auf dieser Datenbasis können noch Verzerrungen aufweisen. Die Anzahl Beobachtungen nach Nutzungsart und Jahr findet sich im .csv.

it: Ripartizione dell'età al primo parto (EPP, in mesi) delle capre per anno della macellazione e per tipo di utilizzo. L'EPP viene mostrato nell'intervallo di 10-40 mesi sotto forma di boxplot. Solo gli animali nati a partire dal 1.4.2018 sono presi in considerazione per la determinazione del EPP. L'identificazione e la registrazione individuale dei piccoli ruminanti è stata introdotta nel gennaio 2020. Le analisi effettuate su questa base di dati possono comunque mostrare delle distorsioni. Il numero di osservazioni per tipo di utilizzo e anno si trova nel file .csv.

ablammung

display_name: ablammung

age

display_name: age

agnelage

display_name: agnelage

alter

display_name: alter

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

caprini

display_name: caprini

caprins

display_name: caprins

eta

display_name: eta

goats

display_name: goats

lambing

display_name: lambing

parto

display_name: parto

ziegen

display_name: ziegen

fr: Caprins - Âge des chèvres à la première mise bas

en: Goats - Age of goats at first kidding

de: Ziegen - Alter von Ziegen beim ersten Wurf

it: Caprini - Età delle capre al primo parto


rinder-herdengrossen-der-tierhaltungen

title_for_slug: rinder-herdengrossen-der-tierhaltungen

fr: bovins unites-delevage animaux-de-rente

de: nutztiere tierhaltungen rinder

en: livestock cattle holdings

identifier: cattle-holdingMedianSize

fr: Médiane de la taille des troupeaux de bovins vivants et enregistrés pour toutes les unités d'élevage, les 10 % plus grandes et les 10 % plus petites.

de: Median der Anzahl registrierten, lebenden Rinder auf allen Tierhaltungen, sowie den 10% grössten und 10% kleinsten Tierhaltungen.

en: Median size of herds of registered and living cattle for all holdings, the 10% smallest and 10% largest.

it: Dimensione mediana delle mandrie di bovini vivi e registrati per tutte aziende detentrici di animali, il 10% più grande e il 10% più piccolo.

aziende-detentrici-di-animali

display_name: aziende-detentrici-di-animali

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

holdings

display_name: holdings

livestock

display_name: livestock

rinder

display_name: rinder

tierhaltungen

display_name: tierhaltungen

unites-delevage

display_name: unites-delevage

fr: Bovins - Taille des troupeaux par unité d'élevage

de: Rinder - Herdengrössen der Tierhaltungen

en: Cattle - Herd size per holding

it: Bovini - Dimensioni delle mandrie delle aziende detentrici di animali


fr: age abattages animaux-de-rente bovins

de: schlachtungen nutztiere rinder alter

en: age cattle slaughter livestock

it: bovini eta macellazione animale-da-reddito

identifier: cattle-productivelifeBreed

fr: Répartition de la durée de la vie productive (length of productive life, LPL, du premier vêlage à l'abattage, en mois - Littérature) par an de l'abattage et par race de la vache. La LPL est représenté dans la fourchette 0-280 mois sous la forme d'un boxplot. Le nombre d'observations par race se trouve dans le .csv.

de: Verteilung des Alters (in Monaten) von Kühen für die Länge der Nutzungsdauer (length of productive life, LPL, erste Abkalbung bis Schlachtung - Literatur) nach Rasse. Das LPL wird im Bereich von 0-280 Monaten in Form eines Boxplots wiedergegeben. Die Anzahl Beobachtungen pro Rasse findet sich im .csv.

en: Distribution of the length of productive life of cows (LPL, first calving to culling, in months - Literature) by breed. The LPL is shown in the range of 0-280 months in the form of a boxplot. The number of observations by breed can be found in the .csv.

it: Distribuzione della durata della vita produttiva (length of productive life, LPL, dal primo parto alla macellazione, in mesi - Letteratura) delle vacche per razza. L'LPL viene mostrato nell'intervallo di 0-280 mesi sotto forma di boxplot. Il numero di osservazioni per razza si trova nel file .csv.

abattages

display_name: abattages

age

display_name: age

alter

display_name: alter

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

macellazione

display_name: macellazione

nutztiere

display_name: nutztiere

schlachtungen

display_name: schlachtungen

slaughter

display_name: slaughter

fr: Bovins - Durée de la vie productive par race

de: Rinder - Länge der Nutzungsdauer nach Rasse

en: Cattle - Length of productive life by breed

it: Bovini - Durata della vita produttiva per razza


fr: unites-delevage bovins animaux-de-rente

en: cattle holdings livestock

identifier: cattle-holdingCanton

fr: Total des unités d'élevage avec des bovins par canton.

de: Anzahl Tierhaltungen mit Rindern, unterteilt nach Kantonen.

en: Number of holdings with cattle by canton.

it: Totale delle aziende detentrici di animali con bovini per cantone.

aziende-detentrici-di-animali

display_name: aziende-detentrici-di-animali

bovini

display_name: bovini

fr: Bovins - Évolution des unités d'élevage par canton

de: Rinder - Entwicklung der Tierhaltungen nach Kantonen

en: Cattle - Evolution of holdings by canton

it: Bovini - Evoluzione delle aziende detentrici di animali per cantone


hunde-importe-nach-landern

title_for_slug: hunde-importe-nach-landern

fr: chiens importations animaux-de-compagnie pays

de: hunde land heimtiere importe

en: country dogs imports companion-animals

it: paese importazione animale-da-compagnia cani

identifier: dogs-importCountries

fr: Total des importations de chiens enregistrés et vivant par pays d’origine (inclus les notifications du Liechtenstein). L'ensemble des autres pays est rassemblé sous le terme « pays additionnels ». La liste complète est disponible lors du téléchargement des données.

de: Anzahl Importe von lebenden Hunden, unterteilt nach Herkunftsländern im Zeitverlauf (inkl. Meldungen aus Liechtenstein). Alle anderen Länder sind unter dem Begriff "Weitere Länder" zusammengefasst. Eine vollständige Liste (.csv) ist beim Herunterladen der Daten verfügbar.

en: Number of dog imports by country (includes notifications from Liechtenstein). All remaining countries are grouped under the term "Further countries". The complete list is available when downloading the data.

it: Totale delle importazioni di cani registrati e vivi per paese di origine (comprese le notifiche dal Liechtenstein). Tutte le altre paesi sono raggruppate sotto il termine "Paesi addizionale". L'elenco completo è disponibile al momento del download dei dati.

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

cani

display_name: cani

chiens

display_name: chiens

companion-animals

display_name: companion-animals

country

display_name: country

dogs

display_name: dogs

heimtiere

display_name: heimtiere

hunde

display_name: hunde

importations

display_name: importations

importazione

display_name: importazione

importe

display_name: importe

imports

display_name: imports

land

display_name: land

paese

display_name: paese

pays

display_name: pays

fr: Chiens - Importations par pays

de: Hunde - Importe nach Ländern

en: Dogs - Imports by country

it: Cani - Importazione per paese


ziegen-sommerungen-nach-kantonen

title_for_slug: ziegen-sommerungen-nach-kantonen

fr: caprins estivage animaux-de-rente canton

de: nutztiere ziegen sommerung kanton

en: livestock goats canton summering

it: estivazione animale-da-reddito caprini cantone

identifier: goats-summering-canton

fr: Total des caprins enregistrés et vivants dans la région d'estivage par canton en Suisse et au Liechtenstein. La vue annuelle indique le nombre d'animaux au 25 juillet (OPD article 98).

de: Bestand der registrierten, lebenden Ziegen im Sömmerungsgebiet im Zeitverlauf nach Kantonen in der Schweiz und in Liechtenstein. Die Jahresansicht zeigt den Tierbestand zum 25. Juli (DZV Artikel 98).

en: Number of registered and living goats in the summering zone by canton in Switzerland and in Liechtenstein. The annual view shows the number of animals as of July 25 (DZV Artikel 98).

it: Totale dei caprini vivi e registrati nella regione d'estivazione per cantone in Svizzera e nel Liechtenstein. La vista annuale mostra il numero di animali al 25 luglio (OPD articolo 98).

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

canton

display_name: canton

cantone

display_name: cantone

caprini

display_name: caprini

caprins

display_name: caprins

estivage

display_name: estivage

estivazione

display_name: estivazione

goats

display_name: goats

kanton

display_name: kanton

livestock

display_name: livestock

nutztiere

display_name: nutztiere

sommerung

display_name: sommerung

summering

display_name: summering

ziegen

display_name: ziegen

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

fr: Identitas AG développe et exploite des applications pour l'identification, l'enregistrement et la surveillance des animaux de rente et de compagnie. En tant que prestataire leader de services IT en Suisse pour les données en rapport avec les animaux et la production végétale, nous contribuons à la création de valeur ajoutée pour la santé et le bien-être animale et pour la sécurité des denrées alimentaires. A notre siège à Berne, nous employons environ 110 collaborateurs.

en: Identitas AG develops and operates software for the identitfication, registration and monitoring of livestock and companion animals in Switzerland. As leader provider of IT services in Switzerland for data regarding animals and crops, we contribute to creating added value for animal health/ welfare and safe food. About 110 employees work in our headquarters in Berne.

fr: Caprins - Estivage par canton

de: Ziegen - Sömmerungen nach Kantonen

en: Goats - Summering by canton

it: Caprini - Estivazione per cantone


rinder-geburten-nach-nutzungsarten

title_for_slug: rinder-geburten-nach-nutzungsarten

fr: type-dutilisation naissances animaux-de-rente bovins evolution-de-la-population

de: nutzungsarten populationsentwicklung geburten nutztiere rinder

en: type-of-use cattle births population-trends livestock

it: evoluzione-della-popolazione bovini nascite tipo-di-utilizzo animale-da-reddito

identifier: cattle-birthDamUsage

fr: Total des naissances enregistrées de bovins sur le territoire suisse par catégorie de la mère (vache laitière ou autre vache)

de: Anzahl gemeldete Geburten von Rindern, unterteilt nach Nutzungsart der Mutter (Milchkuh oder andere Kuh) im Zeitverlauf.

en: Number of notified births of cattle by type of use of the dam (dairy cow or other cow).

it: Totale delle nascite registrate di bovini in territorio svizzero per categoria di madre (vacca da latte o altre vacche).

births

display_name: births

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

geburten

display_name: geburten

naissances

display_name: naissances

nascite

display_name: nascite

nutzungsarten

display_name: nutzungsarten

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

rinder

display_name: rinder

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

identitas

it: Identitas AG

de: Identitas AG entwickelt und betreibt Applikationen zur Identifizierung, Registrierung und zum Monitoring von Nutz- und Heimtieren. Als führender Schweizer IT-Dienstleister für Daten rund um das Tier und den Pflanzenbau schaffen wir Mehrwert für gesunde Tiere und sichere Lebensmittel. An unserem Sitz in Bern beschäftigen wir rund 110 Mitarbeitende.

it: Identitas AG sviluppa e gestisce applicazioni per l'identificazione, la registrazione e il monitoraggio degli animali da reddito e da compagnia. In qualità di fornitore di servizi informatici leader in Svizzera per i dati relativi agli animali e alla produzione vegetale, contribuiamo alla creazione di valore aggiunto per la salute e il benessere degli animali e la sicurezza alimentare. Nella nostra sede centrale di Berna abbiamo circa 110 dipendenti.

fr: Bovins - Naissances par type d'utilisation

en: Cattle - Births by type of use

de: Rinder - Geburten nach Nutzungsarten

it: Bovini - Nascite per tipo di utilizzo