en: blowing-snow parameterization antarctica drifting-snow large-eddy-simulation snow-sublimation turbulence

en: (e) LES-LM_particles_case_1.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 1.

en: (f) LES-LM_particles_case_2.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 2.

en: (h) LES-LM_particles_case_3b.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3b.

en: (a) Readme.pdf

en: Meta data for the whole dataset including a link to the LES-LM source code.

en: (j) Turbulence_measurements_case_1.txt

en: Post-processed high-frequency measurements used to plot turbulence cospectra (data underlying Figure S2 of the related publication). Further measurements are published in a related dataset (Sigmund et al., 2021).

en: (d) LES-LM_main_results.zip

en: Main results of the LES-LM simulations. We do not provide the complete raw output of the simulations because of the large amount of data. For example, the three-dimensional fields of wind velocity components, air temperature and specific humidity are only provided in horizontally averaged form.

en: (i) 1D_model_code.zip

en: Source code of the 1D model (R scripts).

en: (g) LES-LM_particles_case_3a.Rdata

en: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3a.

en: (c) LES-LM_code_settings.zip

en: Simulation-specific settings (part of the LES-LM source code).

en: (k) Postprocessing_code.zip

en: R scripts used to post-process the results of the LES-LM model and 1D model and produce the figures.

en: (b) Data_of_figures.zip

en: Folder containing the data (csv files) visualized in figures of the related publication. The filenames specify the respective figure(s). However, data shown in Figures S5 and S6 are included in data resource (d).

en:
This dataset supports a related publication (Sigmund et al., 2025) and contains
- results of four **large-eddy simulations** (LES) coupled to a Lagrangian model (LM) for snow transport, aiming to reproduce field measurements, especially latent heat fluxes, at the S17 site near Syowa Station, East Antarctica, in conditions of drifting and blowing snow,
- references to the **source code** of the LES-LM model,
- the source code and results of a simple **one-dimensional (1D) model** inspired by the large-scale model CRYOWRF (Sharma et al., 2023), aiming to reproduce the LES-LM results,
- post-processed **measurements** shown in the figures of the related publication,
- **programming code** for post-processing and plotting the results.
The LES-LM simulations solve the Navier-Stokes equations for incompressible flows and advection-diffusion equations for air temperature and specific humidity in a domain of 19.2 x 18.32 x 18.32 m³. In these simulations, the airflow is driven by a prescribed large-scale pressure gradient. We assume that the air density is constant (1.18 kg/m³) and the snow particles have a spherical shape and a density of 918.4 kg/m³. Further methodological details are described in the related publication. The 1D model and post-processing code was created using the R software version 4.3.2 (R Core Team, 2024).
References
- Sharma, V., Gerber, F., & Lehning, M. (2023): Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling. Geosci. Model Dev. 16, 719–749. [https://doi.org/10.5194/gmd-16-719-2023](https://doi.org/10.5194/gmd-16-719-2023)
- Sigmund, A., Melo, D. B., Dujardin, J., Nishimura, K., & Lehning, M. (2025). Parameterizing snow sublimation in conditions of drifting and blowing snow. Journal of Advances in Modeling Earth Systems, 17, e2024MS004332. [https://doi.org/10.1029/2024MS004332](https://doi.org/10.1029/2024MS004332)

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

parameterization

display_name: parameterization

snow-sublimation

display_name: snow-sublimation

turbulence

display_name: turbulence

en: Modeled and measured fluxes of latent and sensible heat and snow transport at S17 near Syowa in Antarctica


maintainer: EnviDat Support

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

state: active

type: dataset

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

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

format: SERVICE

en: information on ingredients of national dishes

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

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

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

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

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

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


en: last-glacial-maximum air-temperature glaciers orography precipitation paleo-climate

en: Data Access

en:
High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm.

The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

format: GeoTIFF

en: Technical documentation

media_type: application/pdf

en: Technical documentation containing file metadata and variable descriptions.

format: PDF

mimetype: application/pdf

air-temperature

display_name: air-temperature

glaciers

display_name: glaciers

last-glacial-maximum

display_name: last-glacial-maximum

orography

display_name: orography

paleo-climate

display_name: paleo-climate

precipitation

display_name: precipitation

en: CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum


maintainer: Tobias Wechsler

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

format: SHP

en: Indicators

en: The indicators capture supporting ecosystem functions.

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

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

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

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

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

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

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management


en: face forest soil picea-abies co2 nitrogen

en: Gross N mineralisation and nitrification

media_type: text/csv

en: Gross rates of N mineralisation and nitrification (15N dilution)

format: CSV

mimetype: text/csv

en: Resin bags

en: Ammonium, nitrate and their 15N in resin bags

en: Water analyses

en: Analyses of water, especially soil solution

en: Soil C and N

en: Analyses of C, N and their stable isotopes in the soil, and soil pH

en: Collection points

en: Collection points under the trees

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution.

face

display_name: face

forest

display_name: forest

nitrogen

display_name: nitrogen

picea-abies

display_name: picea-abies

soil

display_name: soil

en: Nitrogen availability under trees exposed to CO2 enrichment (FACE)


en: caribbean-region edna curacao teleo environmental-dna fish-composition coral-reefs marine fish

en: Data access

en:
Fish taxonomic, functional and phylogenetic composition variations recovered from eDNA metabarcoding along the coast of Curacao

In February 2020, we collected a total of 20 water samples, from 10 stations, with two filtration replicates per station, in the two investigated coastal areas. Each station consisted of a transect of 2 km at an overall constant distance from the coast. We recorded the GPS coordinates at the start and end of the transect, which we used to map the transect positions. We conducted eDNA sampling by using a filtration device composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 L/min), a VigiDNA® 0.20 μM cross-flow filtration capsule (SPYGEN, le Bourget du Lac, France) and disposable sterile tubing for each filtration capsule. We performed two filtration replicates in parallel on each side of a boat, at each station, for 30 min corresponding to a volume of ~30 L of water filtered by each capsule. At the end of each filtration, the water inside the capsules was emptied, and we filled the capsules with 80 ml of CL1 Conservation buffer (SPYGEN, le Bourget du Lac, France) and stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Valentini et al., 2016). Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).

caribbean-region

display_name: caribbean-region

coral-reefs

display_name: coral-reefs

curacao

display_name: curacao

edna

display_name: edna

environmental-dna

display_name: environmental-dna

fish

display_name: fish

fish-composition

display_name: fish-composition

marine

display_name: marine

teleo

display_name: teleo

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: Environmental DNA Marine Curacao 2020


en: nfi-photos adults-and-teenagers online-questionnaire-survey visual-attractiveness perception-of-ecosystem-services

en: Questionnaire French

en: Questionnaire German

en: Codebook to SPSS-file

en: SPSS-Dataset

en: Dataset in csv-format

en: Questionnaire Italian

en: This questionnaire survey was conducted as an online survey and aimed at investigating the relationship between physical forest characteristics, visual attractiveness of forest and the perception of ecological and cultural ecosystem services in urban forests. Each participant was shown 6 photos out of a pool of 50 photos taken from the Swiss National Forest Inventory (NFI) database. Physical forest characteristics were derived from the photos. The study was conducted as part of the "WaMos meets LFI" (WML) project.

adults-and-teenagers

display_name: adults-and-teenagers

nfi-photos

display_name: nfi-photos

online-questionnaire-survey

display_name: online-questionnaire-survey

perception-of-ecosystem-services

display_name: perception-of-ecosystem-services

visual-attractiveness

display_name: visual-attractiveness

en: Relationship between physical forest characteristics, visual attractiveness and perception of ecosystem services in urban forests


maintainer: Frank Techel

en: warning-regions danger-level avalanche-forecast snow european-alps

en: shape file warning regions Alps

media_type: application/zip

format: ZIP

mimetype: application/zip

en: Forecast avalanche danger level

en: contains the highest forecast danger level (dangerLevelMax) for each day and warning region

en:
This dataset contains the data used in the publication by Techel et al., 2018 _Spatial consistency and bias in avalanche forecasts - a case study in the European Alps_ (Nat Haz Earth Syst Sci).
For details on the data please refer to this publication.
The dataset contains the following:
- shape files for the warning regions in the Alps
- highest forecast danger level for each warning region and day

avalanche-forecast

display_name: avalanche-forecast

danger-level

display_name: danger-level

european-alps

display_name: european-alps

snow

display_name: snow

warning-regions

display_name: warning-regions

en: Forecast avalanche danger level European Alps 2011 - 2015


en: snowpack meteorological-data catchment-data snow-hydrology rain-on-snow

media_type: text/plain

format: TXT

mimetype: text/plain

en: The file contains all data needed to run simulations with the snow cover model SNOWPACK.

en: Meteorological data used to run SNOWPACK for 58 catchments in the Swiss Alps. The data consists of a 2 km grid of "virtual meteorological stations" for each catchment. It was used to simulate snow cover processes during rain-on-snow events, therefore meteorological data of each catchment contains at least one rain-on-snow event. Further information can be found in the attached readme.txt and in Würzer & Jonas et al. (2017), currently under review in Hydrological Processes.

catchment-data

display_name: catchment-data

meteorological-data

display_name: meteorological-data

rain-on-snow

display_name: rain-on-snow

snow-hydrology

display_name: snow-hydrology

snowpack

display_name: snowpack

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: Meteorological data for investigation of rain-on-snow events in 58 catchments in Switzerland


aerosol-data-davos-wolfgang

title_for_slug: aerosol-data-davos-wolfgang

en: particles inp aerosol raclets ice-nucleation drincz

en: OPC-N3 Dataset Davos Wolfgang

en: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

en: SMPS Dataset Davos Wolfgang

en: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity), in a temporal resolution of 2 minutes, with time in UTC, measured at Davos Wolfgang.

mimetype: application/x-netcdf

en: DRINCZ Dataset Davos Wolfgang

en: The DRINCZ file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en: APS Dataset Davos Wolfgang

en: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Davos Wolfgang.

en: OPC GT-526S Dataset Davos Wolfgang

en: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.

Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0).

Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³).

Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³).

Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

drincz

display_name: drincz

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

particles

display_name: particles

raclets

display_name: raclets

en: Aerosol Data Davos Wolfgang


en: ground-temperature sdms soil frost-change-velocity aridity precipitation

media_type: image/tiff

en: Soil organic carbon content modified from SoilGrids

format: TIFF

en: Mean diurnal range modified from CHELSA

en: Mean annual temperature modified from CHELSA

en: Precipitation of driest quarter modified from CHELSA

en: Precipitation seasonality from CHELSA

en: Soil clay content modified from SoilGrids

en: Frost change frequency modified from CHELSA

en: Soil pH modified from SoilGrids

en: The dataset contains seven environmental layers (average annual temperature, aridity [annual precipitation divided by annual potential evapotranspiration], frost change frequency, precipitation in the driest quarter, mean diurnal temperature range, and precipitation seasonality) modified from CHELSA (https://chelsa-climate.org/) and three soil layers (soil organic matter content, pH water, and clay content) modified from SoilGrids (https://soilgrids.org/).

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

precipitation

display_name: precipitation

sdms

display_name: sdms

soil

display_name: soil

educ

en: Education, culture and sport

en: Environmental layers for SDM simulations (GDPlants)


maintainer: Franziska Gerber

en: wrf topography landuse cryowrf static-data cosmo-wrf

en: Static data for WRF - Soiltype bottom

en: Static data for WRF - Topography

en: Static data for WRF - Landuse

en: Documentation

en: Documentation of the dataset

en: Example namelist.wps to use with the 1s static data

en:
Example GEOGRID.TBL to use with the 1s static data;
Note about naming:
* 121 -> 1-2-1 topography smoothing applied to dataset
* 1 -> one smoothing cycle applied to the data (needs to be changed depending on the chosen resolution to avoid too steep slope angles)

en: Static data for WRF - Soiltype top

en: Static input data (topography, landuse and soiltype) for the WRF preprocessing system WPS is provided for Switzerland and its neighboring countries between 45-49 N and 4-12 E. The data is provided at a resolution of 1 s. Topography is based on the Aster dataset, while landuse is extracted from the Corine landuse dataset. Soil type is set to silty clay loam for the entire domain. This static input data is valid for WRF and CRYOWRF.

cosmo-wrf

display_name: cosmo-wrf

cryowrf

display_name: cryowrf

landuse

display_name: landuse

static-data

display_name: static-data

topography

display_name: topography

wrf

display_name: wrf

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: High resolution static data for WRF over Switzerland


en: winter-energy-production snow shortwave-radiation albedo photovoltaic

en: Data Forward Scattering

en: GROUNDEYE model for multiple forward scattering in snow-covered terrain. Meteorological and topographical input data set for the Meierhofertäli near Davos, Switzerland, September 2017 - August 2018. Output data for September 2017 - August 2018 at hourly resolution and every pixel. Post-processing scripts for plotting and analysis.

en:
 Overview
We present GROUNDEYE, a new model of radiative transfer over mountainous terrain, which considers for the first time the forward scattering properties of snow.
Embedded in the surface process model Alpine3D, the new terrain radiation model GROUNDEYE receives interpolated real weather data with diffuse and direct broadband shortwave radiation for each pixel as well as a spatially variable plane albedo from the module SNOWPACK.

 Format
The GROUNDEYE model is written in c++, as is the entire environment of Alpine3d. The input and output data sets are .xlsx or .txt format, pre- and postprocessing including the generation of all figures is in .R format.

 Structure
In Data_Forward_Scattering.zip you will find all necessary data and model details to
reproduce the results of the JGR publication "How forward-scattering snow and terrain change the Alpine radiation balance with application to solar panels"

 - 	Model Input Data contains the meteorological and topographic input data sets, the BRDF, and preprocessing scripts.
 - Model Code contains the full model Alpine3d including the radiative transfer module GROUNDEYE.
 - Model Output Data contains the results of the simulation of terrain irradiance and irradiance of solar panels; hourly resolution, 1. Sptember 2017 - 31. August 2018.
 - Measurements Solar Testsite contains information and measurements of the solar testsite at the Totalp near Davos, Switzerland.
 - Postprocessing contains all R-Scripts used for the analysis and
plotting of the corresponding data.

In each of these folders you will find detailed information in
the file 'About this Folder.txt'.

albedo

display_name: albedo

photovoltaic

display_name: photovoltaic

shortwave-radiation

display_name: shortwave-radiation

snow

display_name: snow

winter-energy-production

display_name: winter-energy-production

en: Data, Code Link and Metadata on Forward Scattering of Snow at Totalp


maintainer: EnviDat

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

en: NEAD syntax v0.1 (EBNF)

en: NEAD on GitHub

media_type: text/html

format: HTML

en: PyNEAD (future reference implementation)

en: MeteoIO (future reference implementation)

mimetype: text/html

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

educ

en: Education, culture and sport

en: Non-Binary Environmental Archive Data (NEAD) format


maintainer: Merin Reji Chacko

en: biomonitoring environmental-dna biodiversity-assessment dna-metabarcoding spatial-ecology

en: Genomic data

en: Fastq files, primer descriptions and the final output dataset.

en: Analysis and Figures

en: This zipped file includes R scripts and the datasets required to run the analyses. A README describes the columns in each dataset.

en: Field Metadata

en: Information concerning the locations and times of sampling, as well as the identity of the samplers and relevant comments.

en: This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.

biodiversity-assessment

display_name: biodiversity-assessment

biomonitoring

display_name: biomonitoring

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

spatial-ecology

display_name: spatial-ecology

en: Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach


maintainer: Jokin Idoate-Lacasia

en: forest-inventory carbon-storage forest-reserves biomass-dynamics environmental-gradients

format: OCTET

en: Climatic space covered by the Swiss National Forest Inventory (NFI) that will be used in Figure 5.

en: R markdown document used to download the data files, reproduce the analysis and plot generation.

en:
This dataset documents the analyses and the plot generation for the manuscript **Long-term biomass dynamics in temperate forests in Europe after cessation of management**.
We analyse biomass development in an extensive network of 224 plots in 37 natural forest reserves (NFR) covering a wide environmental gradient with mean annual temperatures ranging from 1 to 10.4 °C and mean annual precipitation ranging from 901 to 2317 mm. Forest inventories have been conducted approximately every 10 years during the last 60 years.
It consists of the following files:
+ **Long_term_biomass_script.Rmd**: R markdown document to reproduce the analysis and the plot generation.
+ **dat_biomass.RDS**: Biomass values for each permanent plot at each inventory. This dataset is used for data exploration and for the Biomass model, and to create Figure 2 and Figure 3.
+ **dat_biomass_change.RDS**: Biomass change values between inventories for each permanent plot. It includes the explanatory variables as well. This dataset is used for the Biomass change model and to create Figure 4 and Figure 5.
+ **NFI_climspace_netCDF.RDS**: Climatic space covered by the Swiss National Forest Inventory (NFI) that is used in Figure 5.

biomass-dynamics

display_name: biomass-dynamics

carbon-storage

display_name: carbon-storage

environmental-gradients

display_name: environmental-gradients

forest-inventory

display_name: forest-inventory

forest-reserves

display_name: forest-reserves

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: Long-term biomass dynamics of temperate forests in Europe after cessation of management


en: functional-taxonomic-groups bryophyte-life-strategy photobiont moss disturbance bryophyte climate-change lichen biodiversity climate-change-impact functional-taxonomic-group elevational-gradient liverwort madeira-island lichen-growth-form endemic-species lichen-growthform endemic

en: MadCrypto – Bryophyte and macrolichen diversity in laurel forests of Madeira

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science.

format: XLS

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science 30: 1122–1133.

The excel file contains 5 sheets:
1) Plot information
2) Bryophyte data with species specific information, separated per substrate
3) Macrolichen data with species specific information, separated per substrate
4) Bryophyte data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 2 and 4 might therefore differ slightly.
5) Macrolichen data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 3 and 5 might therefore differ slightly.

biodiversity

display_name: biodiversity

bryophyte

display_name: bryophyte

bryophyte-life-strategy

display_name: bryophyte-life-strategy

climate-change

display_name: climate-change

climate-change-impact

display_name: climate-change-impact

disturbance

display_name: disturbance

elevational-gradient

display_name: elevational-gradient

endemic

display_name: endemic

endemic-species

display_name: endemic-species

functional-taxonomic-group

display_name: functional-taxonomic-group

functional-taxonomic-groups

display_name: functional-taxonomic-groups

lichen

display_name: lichen

lichen-growth-form

display_name: lichen-growth-form

lichen-growthform

display_name: lichen-growthform

liverwort

display_name: liverwort

madeira-island

display_name: madeira-island

moss

display_name: moss

photobiont

display_name: photobiont

educ

en: Education, culture and sport


en: biomass single-tree terrestiral-laserscanning lidar tree-volume forest-inventory

en: Individual tree parameters and volume estimates based on TLS point clouds and allometric models

en:
"ASM" denotes volume estimates calculated by allometric scaling models (as used in Swiss NFI), based on tree height, DBH and D7.
"QSM" denotes volume estimates derived from TLS point clouds by quantitative structure models (QSM).
The remaining variables are geometrical features directly calculated from single tree TLS point clouds.
For more detailed variable descriptions see related publication.

en:
 Dataset
This dataset is based on terrestrial laser scanning (TLS) data acquired during winter 2020/2021 in leaf-off conditions, with a Leica BLK 360 instrument following a tree-centric scanning pattern.
The data was acquired on two sites (47.42°N 8.49°E and 47.504°N, 7.78°E), both of which were managed mixed temperate forest stands.
Individual trees were semi-automatically segmented from the co-registered TLS point clouds.

 Background
Accurate estimates of individual tree volume or biomass within forest inventories are essential for calibration and validation of biomass mapping products based on Earth observation data.
Terrestrial laser scanning (TLS) enables detailed and non-destructive volume estimation of individual trees, with existing approaches ranging from simple geometrical features to virtual 3D reconstruction of entire trees. Validating such approaches with weight measurements is a key step before the integration of TLS or other close-range technologies into operational applications such as forest inventories.
In this study, we firstly evaluate individual tree volume estimation approaches based on 3D reconstruction through quantitative structure models (QSM) against destructive reference data of 60 trees and compare them to operational allometric scaling models (ASM).
Secondly, we determine the explanatory power of TLS-derived geometric parameters regarding total tree, stem, coarse wood and fine branch volume.

biomass

display_name: biomass

forest-inventory

display_name: forest-inventory

lidar

display_name: lidar

single-tree

display_name: single-tree

terrestiral-laserscanning

display_name: terrestiral-laserscanning

tree-volume

display_name: tree-volume

en: Individual tree TLS point clouds for tree volume estimation


en: morphology landscape-evolution landscape-genetics indian-ocean landscape reef-fish

en:
Tropical reef fishes exhibit a large disparity of organismal morphologies contributing to their astonishing biodiversity. Morphological disparity, scaling from differences among individuals within populations to differences among species, is governed by ecological and evolutionary processes.
Here, we examined the relationship between intra- and interspecific disparity in 1111 individuals from 17 tropical reef fish species, representing 10 families with different dispersal abilities, across four Indian Ocean regions. We compared intraspecific measurements with species-level measures from a database of 1061 reef fish species. Species with high morphological disparity among individuals from distinct regions are found to be nested in families that display a high disparity among their genera. We show an association between the morphological disparity at the intra- and interspecific levels for several morphological ratios such as the caudal peduncle elongation. We evaluated the link between morphological disparity and genetic diversity with species dispersal ability. A structural equation model indicates that dispersal ability correlates positively with species genetic diversity, which is associated with morphological disparity.
Our results suggest that traits associated with dispersal may foster gene flow and morphological evolution. However, future works combining genomic, morphological and environmental data across more species is necessary to generalize these findings to other regions.

indian-ocean

display_name: indian-ocean

landscape

display_name: landscape

landscape-evolution

display_name: landscape-evolution

landscape-genetics

display_name: landscape-genetics

morphology

display_name: morphology

reef-fish

display_name: reef-fish

en: Continuity in morphological disparity in tropical reef fishes across evolutionary scales


en: marine mediterraneaen fish-composition teleo edna marseille

en: Data access

en: Please use cyberduck to download for the moment

en:
Description: Fish environmental DNA data set collected in 2023 in the Calanques National Park
The eDNA samples were collected in 2023 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the winter (January- February) season, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To account for the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

edna

display_name: edna

fish-composition

display_name: fish-composition

marine

display_name: marine

marseille

display_name: marseille

mediterraneaen

display_name: mediterraneaen

teleo

display_name: teleo

en: Environmental DNA Marine France Calanques 2023


maintainer: Manuel R. Popp

en: testing species-observations photo vascular-plants plant-species

en:
Zipped directory containing approximately 5'600 photographs of vascular plants from the Swiss flora, taken at 153 sampling locations. Sampling locations were assigned a TypoCH habitat type.
Folder structure:
 - Each folder represents a plant population, defined by the same species, sampling date, and location.
 - Higher-level directories organize populations observed within the same sampling plot.
Naming convention:
Each image is names img_<index>_<plant organ>.jpg whereby <index> is the number of the photograph within the folder. For each observed population, images have consecutive integers as index. <plant organ> is a single letter indicating the depicted part(s) of the plant:
b = bark
i = inflorescense
f = infructescense
s = several parts
v = vegetative parts

en:
This data set contains roughly 5600 photographs of plants and plant parts from 153 sites recorded in all major biogeographic regions of Switzerland using smartphone cameras. Image names contain a letter referring to depicted plant parts: b = bark, i = inflorescence, f = infructescense, s = several parts, v = vegetative parts.
Photos are grouped in folders by observation (individual or population), i.e., photos in the same folder are of the same species, observed at the same time and sampling plot. At a higher organisational level, these folders are grouped by sampling plot (usually 3×3 m in open areas and 10×10 m in forests). The main folder contains metadata including taxon name, sampling time and location, as well as the TypoCH habitat type encoded as integers.

photo

display_name: photo

plant-species

display_name: plant-species

species-observations

display_name: species-observations

testing

display_name: testing

vascular-plants

display_name: vascular-plants

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: Photos of vegetative and reproductive parts of 560 vascular plant species taken in all biogeographic regions of Switzerland


maintainer: Yohann Chauvier

en: soil climate phylogenetic-diversity taxonomic-diversity ecological-indicator-values grain-size functional-diversity

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

educ

en: Education, culture and sport

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


maintainer: Virginie Marques

en: vert01 switzerland sper01 edna environmental-dna freshwater vertebrates spermatophytes

en:
Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes

From 22-Jun-2020 to 26-Jun-2020, we sampled five sites comprising one low, two intermediate and two high-elevation sites per catchment (Fig. 1a). We visited two catchments per day—one in the morning and one in the afternoon—for a total of ten catchments. All samples per catchment were collected within a maximum four-hour period by three groups of samplers. The intermediate and high-elevation sites were situated along two tributaries leading into the low-elevation site of the river. We used three filters for each relative elevation class and filtered 60 L per relative elevation class. We sampled 30 L per tributary for a combined volume of 60 L at the intermediate and high-elevation sites. In total, 180 L were sampled in total per catchment. A filtration device composed of either the Athena® peristaltic pump (Proactive Environmental Products LLC; 1 L/min nominal flow) or the Subspace® underwater peristaltic pump (Subspace Pictures; 1 L/min nominal flow), combined with a VigiDNA® 0.2 µM cross-flow filtration capsule (VigiDNA, SPYGEN) was used in order to filter a large water volume. We used a finer mesh than the recommended VigiDNA® 0.45 µM cross-flow filtration capsule to maximise the capture of biological material since mountain water does not transport high quantities of sediments. For each filtration capsule, we used disposable sterile tubing. At the end of each filtration, we emptied the water inside the capsules, replaced it with 80 ml of CL1 conservation buffer (SPYGEN), and stored it at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Goldberg et al. 2016; Valentini et al. 2016). Each water sample was processed using disposable gloves and single-use filtration equipment. We used two primer sets targeting vertebrates (Vert01, forward: − TTAGATACCCCACTATGC, reverse: − TAGAACAGGCTCCTCTAG, mean marker length: 97 bp) and spermatophytes (g-h/Sper01, forward: − GGGCAATCCTGAGCCAA, reverse: CCATTGAGTCTCTGCACCTATC, mean marker length: 48 bp). Though both primers are relatively broad with low species-level resolution, we selected them as the goal was to minimise cost and effort and maximise the identification of a broad range of taxa which can represent the species assemblages of the region. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).

edna

display_name: edna

environmental-dna

display_name: environmental-dna

freshwater

display_name: freshwater

spermatophytes

display_name: spermatophytes

switzerland

display_name: switzerland

vertebrates

display_name: vertebrates

en: Environmental DNA Freshwater Switzerland VaudCatchment Modipl 2020


maintainer: Yves Bühler

en: orthophoto drone-data dsm uav photogrammetry wingtra snow-depth-mapping

en: Data Access

en:
- DSM (10 cm resolution)
- Ortho (3 cm resolution)
- HS (10 cm resolution)
- original RGB drone images
- Agisoft Metashape Processing Report

All products are also available as a cloud optimized geotiff.

en: To map and assess snow depth on different dates, 9 flights were conducted in the winter season of 2020/21 at the Latschüelfurgga in Davos. The data was captured with a Sony RX1R II mounted on a Wingtra drone and was processed with the Agisoft Metashape software. High-resolution DSMs, orthomosaics and snow height rasters, as well as the original RGB images from each flight are available.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Latschuelfurgga


maintainer: Yael Frischholz

en: alpine renewable-energy photovoltaic preferential-deposition snow-transport

en: Browse simulation files

en:
This file contains the snowBedFoam simulations carried out to produce the results presented in: _article not published yet_.
 Content
 1. /simulations
Groups all simulations folders organised by parameter (azimuth, groupsize, height, interspace) and by type of experiment (single_ref, group_ref).
 2. /simulations/[parameter]/
For each parameter multiple simulations were carried out. Each simulation folder follows the same naming systematic:
`helioplant_n#_h#_ARL#_BL#_az#_windDir#`
- n: number of Helioplant units
- h: height-above-surface
- sp: regular distance between the units
- ARL: additional refinement level
- BL: boundary layer first cell height
- windDir: wind direction
- stag: staggered arangement (suffix)
Here is an example of a folder content for a specific parameter
(simulations/azimuth/):
- `helioplant_n9_h07_sp10_ARL45_BL0015_az30_windDir5`: following the naming systematic this folder corresponds to a simulation with 9 aligned Helioplant units with 0.7m of height-above-surface, an inter-unit distance of 10m an azimuth of 30° and a wind direction of 5°.
 3. /simulations/[parameter]/[helioplant_n#_h#_ARL#_BL#_az#_windDir#]
Each simulation folder contains multiple sub-folders (0/, 100/, 300/, constant/ etc.) and files that define the experiment. For each simulation, the files used in the processing [scripts] are the following:
- 0/Cx: contains the x coordinates of sampling grid cells and of the Helioplants structures.
- 0/Cy: contains the y coordinates of sampling grid cells and of the Helioplants structures.
- 300/kinematicCloud-massCheckPatterns: contains the snow mass distribution values [kg/m2] for each grid cell.

[scripts]: https://github.com/frischwood/snowbed-helio.git

en:
This dataset groups numerical simulation outputs and validation measurement data produced in the context of the following [publication]: _not published yet_
The snow transport model [snowBedFoam] was used to analyse snow deposition around a specific type of Alpine PV structures named HELIOPLANT®.
The results of a sensitivity analysis of multiple key parameters that govern the spatial organisation of these structures are provided here. Measurements of snow distribution taken from the test-site of the [Gondosolar] project, are provided too.

To reproduce the results of the aforementioned publication, follow the instructions on this [repository].
[publication]: https://
[snowBedFoam]: https://www.doi.org/10.16904/envidat.223
[Gondosolar]: https://www.gondosolar.ch
[repository]: https://github.com/frischwood/snowbed-helio.git

alpine

display_name: alpine

photovoltaic

display_name: photovoltaic

preferential-deposition

display_name: preferential-deposition

renewable-energy

display_name: renewable-energy

snow-transport

display_name: snow-transport

en: Drifting and blowing snow distribution around structures for Alpine PV applications


en: europe development-priorities spatial-information urban-region strategic-plans

en: Planning intentios

en:
The present dataset is part of the report titled Gradinaru S.R., Hersperger A.M., Schmid F. (2021). Deriving Planning Intentions from written planning documents. Report on CONCUR Project- From plans to land change: how strategic spatial planning contributes to the development of urban regions.
The data corresponds to the data collected as part of the DPI Method for deriving all PIs contained in a plan (open coding) as detailed in section 4 of the report. The method involved reading the plans to break down of information in meaningful discrete “incidents” or planning intentions. To identify the planning intentions, the starting points were represented by a) the structuring of the plans in chapters and sub chapters and b) the themes that the plans addressed. Thus, the collected information was not grouped according to pre-defined categories of planning intentions, but rather put together as a list of intentions as revealed by each plan. As a result, we provide, for each case study, a document (named [Urban region name] PI as defined in the plan) which contains:
	Date when the information was filled in.
	Name of the urban region and analysed strategic spatial plan .
	A list of all planning intentions contained in a plan, with each PI being addresses as follows:
	Name of PI as it appears in the plan
	Translated name of the PI (i.e. short name for easy understanding of the meaning)
	Explanation regarding the meaning of the PI
	Why the PI is considered a priority for the urban region
	Spatial information on the PI (text and cartographic representations).
In total, 14 documents are available, one for each case study. Documents contain up to 20 pages of information extracted from the plans together with explanations and notes taken during plan reading.

development-priorities

display_name: development-priorities

europe

display_name: europe

spatial-information

display_name: spatial-information

strategic-plans

display_name: strategic-plans

urban-region

display_name: urban-region

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: Planning intentions in strategic plans of European urban regions


maintainer: Adam Winstral

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

en: Station forcing data

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

en: File/data descriptor

en: DEM

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

en: HS and SWE observations

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

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

jim

display_name: jim

jules-investigation-model

display_name: jules-investigation-model

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-simulation

display_name: snow-simulation

educ

en: Education, culture and sport

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


maintainer: Giulia Mazzotti

en: forest-structure snow-modelling snow-distribution forest-snow snow-energy-balance

en: Meteo data to drive FSM2 model

en: Includes meteorological driving data used to run the forest snow model FSM2, processed and parsed in text files that match the format required by FSM2. Separate files are available for each field area (Laret, Drusatscha and Ischlag) and season (2012/13, 2013/14, 2014/15). Each file includes data for the period from October 1st to May 31st at hourly resolution.

en: Snow depth data open sites

en: Contains all snow detph data accquired at open sites nearby the forest stands during the same period.

en: Coordinates data

en: Includes coordinate information of each surveyed point (7 x 276 = 1932 forest points, 2 open areas)

en: Grid point nomenclature

en: The grid structure of each forest site and the respective nomenclature applied to label individual points within each grid are outlined here.  Each point marks the location of snow depth measurements and co-located canopy structure parameters.

en: Canopy data

en: Includes all canopy structure metrics computed at all surveyed locations

en: Snow depth data forest sites

en: Contains all snow depth data acquired at all forest sites during winters 2012/13, 2013714 and 2014/15.

en:
This dataset contains all snow, canopy and meteorological data presented and used in the publication: Mazzotti, G., Essery, R., Moeser, D. & Jonas T. (2020) 'Resolving spatial variability of forest snow using an energy-balance model with a 1-layer canopy'. Water Resources Research, https://doi.org/10.1029/2019WR026129.
This publication must be cited when using this dataset.

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

snow-distribution

display_name: snow-distribution

snow-energy-balance

display_name: snow-energy-balance

snow-modelling

display_name: snow-modelling

en: Snow depth, canopy structure and meterorological datasets from the Davos area, Switzerland, Winters 2012/13-2014/15, used for high-resolution forest snow modelling


maintainer: Team Tierstatistik Identitas AG

fr: equides type-dutilisation animaux-de-compagnie animaux-de-rente evolution-de-la-population

de: populationsentwicklung equiden heimtiere nutztiere nutzungsarten

en: equids livestock companion-animals population-trends type-of-use

it: equidi animale-da-reddito evoluzione-della-popolazione tipo-di-utilizzo animale-da-compagnia

de: Identitas AG

fr: Interactive plot

de: Interactive plot

en: Interactive plot

it: Interactive plot

fr: Glossary / Documentation

de: Glossary / Documentation

en: Glossary / Documentation

it: Glossary / Documentation

identifier: equids-usage

fr: Évolution des équidés enregistrés et vivants selon leur type d’utilisation (animal de rente ou animal de compagnie). Les termes "animal de rente" et "animal de compagnie" selon l'ordonnance sur les médicaments vétérinaires désignent uniquement la qualification, ou non, d'un équidé pour une utilisation dans la chaîne alimentaire. Selon la législation agricole, les équidés sont considérés comme des animaux de rente  (OTerm article 27 chiffre 2). Ces termes ne disent rien quant à l'utilisation quotidienne d'un équidé.

de: Entwicklung in Prozent und Gesamtbestand der registrierten, lebenden Equiden nach Verwendungszweck (Nutztier oder Heimtier). Wichtig: die Begriffe Nutztier und Heimtier gemäss Tierarzneimittelverordnung stehen einzig für die Qualifikation, oder nicht Qualifikation eines Equiden hinsichtlich seiner Verwertung in der Lebensmittelkette. Nach Landwirtschaftsgesetzgebung gelten Equiden als Nutztiere (LBV Artikel 27 Ziffer 2). Die Bezeichnungen sagen nichts über die alltägliche Verwendung eines Equiden aus.

en: Evolution of registered and living equids by type of use (livestock or companion animal). The terms livestock and companion animal, according to the Ordinance on veterinary drugs, solely describe whether an equid qualifies for utilization in the food chain. Under agricultural legislation, equids are considered livestock (OTerm article 27 cipher 2). The designations imply nothing about the everyday use of an equid.

it: Evoluzione degli equidi registrati e vivi per tipo di utilizzo (animale da reddito o animale da compagnia). I termini "animale da reddito" e "animale da compagnia", secondo l'Ordinanza sui medicamenti per uso veterinario, indicano solo la qualifica, o meno, di un equino per l'uso nella catena alimentare. Secondo la legislazione agricola, gli equidi sono considerati bestiame (OTerm articolo 27 comma 2). I termini non dicono nulla sull'uso quotidiano di un equino.

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

companion-animals

display_name: companion-animals

equiden

display_name: equiden

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

heimtiere

display_name: heimtiere

livestock

display_name: livestock

nutztiere

display_name: nutztiere

nutzungsarten

display_name: nutzungsarten

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

identitas

fr: 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 - Évolution par type d'utilisation

en: Equids - Evolution by type of use

de: Equiden - Entwicklung nach Verwendungs-zweck

it: Equidi - Evoluzione per tipo di utilizzo


schafe-entwicklung-nach-rassen

title_for_slug: schafe-entwicklung-nach-rassen

fr: animaux-de-rente races evolution-de-la-population ovins

de: rassen schafe nutztiere populationsentwicklung

en: livestock population-trends sheep breeds

it: razze evoluzione-della-popolazione ovini animale-da-reddito

identifier: sheep-breeds

fr: Total des moutons enregistrés et vivants sur le territoire suisse par race. L'évolution des populations les plus importantes est présentée. La liste complète est disponible lors du téléchargement des données (.csv).

en: Number of registered and living sheep by breed. The evolution of the largest populations is presented. The complete list is available when downloading the data (.csv).

de: Bestand der registrierten, lebenden Schafe, unterteilt nach Rassen im Zeitverlauf. Die Entwicklung der grössten Populationen wird dargestellt. Die vollständigen Daten zu allen Rassen finden sich im .csv.

it: Totale delle pecore registrati e vivi sul territorio svizzero per razza. Viene mostrato lo sviluppo delle popolazioni più importanti. L'elenco completo è disponibile al momento del download dei dati (.csv).

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

breeds

display_name: breeds

ovini

display_name: ovini

ovins

display_name: ovins

races

display_name: races

rassen

display_name: rassen

razze

display_name: razze

schafe

display_name: schafe

sheep

display_name: sheep

fr: Ovins - Évolution par race

de: Schafe - Entwicklung nach Rassen

en: Sheep - Evolution by breed

it: Ovini - Evoluzione per razza


equiden-herdengrossen-der-tierhaltungen

title_for_slug: equiden-herdengrossen-der-tierhaltungen

fr: equides unites-delevage animaux-de-rente animaux-de-compagnie

de: nutztiere tierhaltungen heimtiere equiden

en: equids holdings livestock companion-animals

it: equidi aziende-detentrici-di-animali animale-da-reddito animale-da-compagnia

identifier: equids-holdingMedianSize

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

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

de: Median der Anzahl registrierter, lebender Equiden auf allen Tierhaltungen, sowie den 10% grössten und 10% kleinsten Tierhaltungen.

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

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

aziende-detentrici-di-animali

display_name: aziende-detentrici-di-animali

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

holdings

display_name: holdings

livestock

display_name: livestock

nutztiere

display_name: nutztiere

tierhaltungen

display_name: tierhaltungen

unites-delevage

display_name: unites-delevage

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

de: Equiden - Herdengrössen der Tierhaltungen

en: Equids - Herd size per holding

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


fr: equides estivage animaux-de-rente

de: sommerung equiden nutztiere

en: equids summering livestock

it: equidi animale-da-reddito estivazione

identifier: equids-summering-usage

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

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

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

it: Totale dei equidi vivi registrati nella regione d'estivazione per tipo di utilizzo 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

estivage

display_name: estivage

estivazione

display_name: estivazione

sommerung

display_name: sommerung

summering

display_name: summering

fr: Équidés - Estivage par type d'utilisation

en: Equids - Summering by type of use

de: Equiden - Sömmerungen nach Verwendungs-zweck

it: Equidi - Estivazione per tipo di utilizzo


fr: equides animaux-de-compagnie proprietaires animaux-de-rente

de: heimtiere equiden nutztiere eigentumerinnen

en: livestock companion-animals equids owners

it: animale-da-reddito equidi proprietari animale-da-compagnia

identifier: equids-perOwner

fr: Total des propriétaires d'équidés enregistrés et vivants sur le territoire suisse, au Liechtenstein et à l’étranger (ailleurs qu’au Liechtenstein) selon le nombre d'équidés en propriété.

en: Number of owners of living and registered equids in Switzerland, in Liechtenstein and abroad (all countries except Liechtenstein) by equids owned.

de: Entwicklung der Anzahl Eigentümerinnen und Eigentümer der registrierten und lebenden Equiden in der Schweiz, Liechtenstein und im Ausland nach Anzahl Equiden im Eigentum.

it: Totale dei proprietari di equidi registrati e vivi in Svizzera, nel Liechtenstein e all'estero (ad eccezione di Liechtenstein) per numero di equidi in proprietà.

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

companion-animals

display_name: companion-animals

eigentumerinnen

display_name: eigentumerinnen

owners

display_name: owners

proprietaires

display_name: proprietaires

proprietari

display_name: proprietari

fr: Équidés - Nombre d'équides par propriétaires

de: Equiden - Anzahl Equiden pro Eigentümer:innen

en: Equids - Number of owners by equids owned

it: Equidi - Numero di equidi per proprietari


fr: type-dutilisation ovins morts animaux-de-rente

de: nutztiere nutzungsarten verendungen schafe

en: sheep type-of-use deaths livestock

it: animale-da-reddito ovini morti tipo-di-utilizzo

de: Identitas AG

fr: Glossary / Documentation

en: Glossary / Documentation

it: Glossary / Documentation

fr: Interactive plot

de: Interactive plot

en: Interactive plot

it: Interactive plot

identifier: sheep-deceasedDamUsageOtherAge

fr: Évolution du nombre d'ovins morts par catégorie d’âge et type d'utilisation de la mère «autre brebis». Les notifications de morts pour le jour de la naissance et le jour suivant ne sont pas incluses dans l'analyse. Ces notifications font partie des statistiques sur les mort-nés.

de: Entwicklung der Anzahl verendeter Schafe aufgeschlüsselt nach Altersklasse und nach Nutzungsart der Mutter «Andere Schafe». Die Verendungsmeldungen für den Tag der Geburt und den Tag danach sind in der Auswertung nicht enthalten. Diese Meldungen sind Teil der Statistiken zu den Totgeburten.

en: Evolution of sheep deaths by age category and type of use of the mother «other ewe». The death notifications for the day of birth and the day after are not included in the analysis. These notifications are part of the statistics on stillbirths.

it: Evoluzione del numero di ovini morti per categoria di età e tipo di utilizzo della madre «altri ovini». Le notifiche di morte per il giorno del parto e il giorno successivo non sono incluse nell'analisi. Queste notifiche fanno parte delle statistiche sui parti morti.

deaths

display_name: deaths

livestock

display_name: livestock

morti

display_name: morti

morts

display_name: morts

nutzungsarten

display_name: nutzungsarten

ovini

display_name: ovini

ovins

display_name: ovins

schafe

display_name: schafe

sheep

display_name: sheep

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

verendungen

display_name: verendungen

fr: Ovins - Morts par catégorie d'âge et type d'utilisation de la mère «autre brebis»

en: Sheep - Deaths by age category and type of use of mother «other ewe»

de: Schafe - Verendungen nach Altersklasse Nutzungsart Mutter «Andere Schafe»

it: Ovini - Morti per categoria di età e tipo di utilizzo della madre «altri ovini»


fr: type-dutilisation animaux-de-rente morts caprins

de: ziegen nutztiere nutzungsarten verendungen

en: deaths livestock goats type-of-use

it: morti caprini animale-da-reddito tipo-di-utilizzo

de: Glossary / Documentation

identifier: goats-deceasedDamUsageOtherAge

fr: Évolution du nombre de caprins morts par catégorie d’âge et type d'utilisation de la mère «autre chèvres». Les notifications de morts pour le jour de la naissance et le jour suivant ne sont pas incluses dans l'analyse. Ces notifications font partie des statistiques sur les mort-nés.

de: Entwicklung der Anzahl verendeter Ziegen aufgeschlüsselt nach Altersklasse und nach Nutzungsart der Mutter «Andere Ziegen». Die Verendungsmeldungen für den Tag der Geburt und den Tag danach sind in der Auswertung nicht enthalten. Diese Meldungen sind Teil der Statistiken zu den Totgeburten.

en: Evolution of goat deaths by age category and type of use of the mother «other goat». The death notifications for the day of birth and the day after are not included in the analysis. These notifications are part of the statistics on stillbirths.

it: Evoluzione del numero di caprini morti per categoria di età e tipo di utilizzo della madre «altri caprini». Le notifiche di morte per il giorno del parto e il giorno successivo non sono incluse nell'analisi. Queste notifiche fanno parte delle statistiche sui parti morti.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

caprini

display_name: caprini

caprins

display_name: caprins

goats

display_name: goats

nutztiere

display_name: nutztiere

ziegen

display_name: ziegen

identitas

fr: 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.

fr: Caprins - Morts par catégorie d'âge et type d'utilisation de la mère «autre chèvres»

de: Ziegen - Verendungen nach Altersklasse Nutzungsart Mutter «Andere Ziegen»

en: Goats - Deaths by age category and type of use of mother «other goat»

it: Caprini - Morti per categoria di età e tipo di utilizzo della madre «altri caprini»


hunde-entwicklung-nach-hundetypen

title_for_slug: hunde-entwicklung-nach-hundetypen

de: populationsentwicklung hunde heimtiere

identifier: dogs-breedTypes

fr: Nombre de chiens enregistrés et vivants par types de chien d'après nomenclature de la FCI (Fédération Cynologique Internationale).

en: Number of registered and living dogs by dog types according to FCI (Fédération Cynologique Internationale) nomenclature.

de: Bestand der registrierten und lebenden Hunde nach Hundetypen gemäss Nomenklatur FCI (Fédération Cynologique Internationale) im Zeitverlauf.

it: Numero di cani registrati e vivi per tipi di cani secondo la nomenclatura FCI (Fédération Cynologique Internationale).

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

dogs

display_name: dogs

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

heimtiere

display_name: heimtiere

hunde

display_name: hunde

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

fr: Chiens - Évolution par types de chien

de: Hunde - Entwicklung nach Hundetypen

en: Dogs - Evolution by dog type

it: Cani - Evoluzione per tipi di cani


fr: bovins animaux-de-rente races poids-mort

de: rinder nutztiere rassen schlachtgewichte

en: breeds slaughter-weights livestock cattle

it: bovini animale-da-reddito pesi-di-macellazione razze

identifier: cattle-slaughterWeightsBreeds

fr: Répartition des poids morts (en kg) des vaches par race. Le nombre d'observations par race se trouve dans le .csv. Les informations sur les poids mort ont été mis à disposition par Proviande.

de: Verteilung der Schlachtgewichte (in kg) von Kühen nach Rasse. Die Anzahl Beobachtungen pro Rasse findet sich im .csv. Die Angaben zu den Schlachtgewichten wurden von der Proviande zur Verfügung gestellt.

en: Distribution of the slaughter weights (in kg) of cows by breed. The number of observations per breed can be found in the .csv. The data on slaughter weights were provided by Proviande.

it: Ripartizione di pesi alla macellazione (in kg) delle vacche per razza. Il numero di osservazioni per razza e anno si trova nel file .csv. Le informazioni sui pesi alla macellazione sono state messe a disposizione da Proviande.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

bovini

display_name: bovini

bovins

display_name: bovins

breeds

display_name: breeds

cattle

display_name: cattle

livestock

display_name: livestock

pesi-di-macellazione

display_name: pesi-di-macellazione

poids-mort

display_name: poids-mort

races

display_name: races

rassen

display_name: rassen

razze

display_name: razze

rinder

display_name: rinder

schlachtgewichte

display_name: schlachtgewichte

slaughter-weights

display_name: slaughter-weights

fr: Bovins - Poids mort des vaches par race

en: Cattle - Slaughter weights of cows by breed

de: Rinder - Schlachtgewichte von Kühen nach Rasse

it: Bovini - Pesi di macellazione delle vacche per razza


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

de: nutzungsarten geburten populationsentwicklung nutztiere rinder

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

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

identifier: cattle-birthSexDamUsage

fr: Total des naissances enregistrées de bovins sur le territoire suisse par type d'utilisation de la mère (vache laitière ou autre vache) et sexe - (Littérature 1, 2, 3, 4).

de: Anzahl gemeldete Geburten von Rindern, unterteilt nach Nutzungsart der Mutter (Milchkuh oder andere Kuh) und Geschlecht im Zeitverlauf (Literatur 1, 2, 3, 4).

en: Number of notified births of cattle by type of use of the dam (dairy cow or other cow) and sex - (Literature 1, 2, 3, 4).

it: Totale delle nascite registrate di bovini in territorio svizzero per tipo di utilizzo di madre (vacca da latte o altre vacche) e sesso - (Documentazione 1, 2, 3, 4).

births

display_name: births

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

nutztiere

display_name: nutztiere

nutzungsarten

display_name: nutzungsarten

population-trends

display_name: population-trends

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

fr: Bovins - Naissances par type d'utilisation et sexe

de: Rinder - Geburten nach Nutzungsarten und Geschlecht

en: Cattle - Births by type of use and sex

it: Bovini - Nascite per tipo di utilizzo e sesso


ziegen-namen-der-mannlichen-gitzi

title_for_slug: ziegen-namen-der-mannlichen-gitzi

fr: noms chevreaux animaux-de-rente caprins

de: namenshitparade nutztiere ziegen mannliche-gitzi

en: livestock names male-kids goats

it: nomi animale-da-reddito caprini capretti

de: Identitas AG

de: Interactive plot

fr: Glossary / Documentation

en: Glossary / Documentation

it: Glossary / Documentation

identifier: goats-NamesMaleKids

fr: Top 10 des noms donnés aux chevreaux 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.

de: Top 10 Namen für männliche Gitzi 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.

en: Top 10 names for male kids 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.

it: Top 10 dei nomi dati ai capretti nell'anno di nascita. 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-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

capretti

display_name: capretti

caprini

display_name: caprini

caprins

display_name: caprins

chevreaux

display_name: chevreaux

goats

display_name: goats

livestock

display_name: livestock

male-kids

display_name: male-kids

mannliche-gitzi

display_name: mannliche-gitzi

namenshitparade

display_name: namenshitparade

names

display_name: names

nomi

display_name: nomi

noms

display_name: noms

ziegen

display_name: ziegen

fr: Caprins - Noms des chevreaux

de: Ziegen - Namen der männlichen Gitzi

en: Goats - Names of male kids

it: Caprini - I nomi dei capretti


ziegen-sommerungen-nach-geschlecht

title_for_slug: ziegen-sommerungen-nach-geschlecht

fr: animaux-de-rente caprins estivage

de: ziegen nutztiere sommerung

en: summering goats livestock

it: caprini estivazione animale-da-reddito

fr: Interactive plot

en: Interactive plot

it: Interactive plot

de: Glossary / Documentation

identifier: goats-summering-sex

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

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

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

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

estivage

display_name: estivage

estivazione

display_name: estivazione

nutztiere

display_name: nutztiere

sommerung

display_name: sommerung

summering

display_name: summering

fr: Caprins - Estivage par sexe

en: Goats - Summering by sex

de: Ziegen - Sömmerungen nach Geschlecht

it: Caprini - Estivazione per sesso