en: snow-water-equivalent snow-depth snow-density model-calibration-data model-validation-data

en: swe2hs calibration and validation data

en:
 Contents of this archive

 README.md

 A readme file containing a description of the other files.

 automatic_stations_validation_data.csv

 Daily data from the automatic weather stations used for validation.

 Data sources and providers are listed in the SWE2HS paper, Table 1.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * site_id: code for the measurement site
  - HS_interpolated: boolean flag for interpolated values
  - SWE_interpolated: : boolean flag for interpolated values

 coordinates_swe2hs_paper_stations.csv

 Coordinates of all measurement sites used in the SWE2HS paper.

 Columns:

  * site_id: code for the measurement site
  * location_name: location name of the measurement site
  * lon_[wgs84]: longitude in WGS84
  * lat_[wgs84]: latitude in WGS84
  * elevation_[m]: atitude of the measurement site in [m]
  * dataset: dataset in which the station is included

 manual_station_calibration_data.csv

 Calibration data from the Swiss manual observer stations. Long station records
 trmmed to 15 random water-years.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_validation_data.csv

 Validation data from the Swiss manual observer stations. Remaining water-years
 from the long sttaion record not used for the calibration data.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_used_deltasnow_parameters.csv

 Site specific DeltaSNOW model parameters used for the calculation of the daily
 SWE series in 'manual_stations_calibration_data.csv' and
 'manual_stations_validation_data.csv'.

 Parameters were optimized by reducing RMSE to the biweekly snow pit SWE measurements.
 Please refer to the paper for further details.

 A python implementation of the DeltaSNOW model was used for the calculation:
 pydeltasnow (https://pypi.org/project/pydeltasnow/)

 For a detailed description of the DeltaSNOW model parameters please see the
 respective publication:

 Winkler, M., Schellander, H., & Gruber, S. (2021). Snow water equivalents
 exclusively from snow depths and their temporal changes: the Δ snow model.
 Hydrology and Earth System Sciences, 25(3), 1165-1187.

 Columns:

  * site_id: code for the measurement site
  * rho_max: Maximum density of an individual snow layer produced by the DeltaSNOW model in [kg/m3]
  * rho_null: Fresh snow density for a newly created layer [kg/m3
  * c_ov: Overburden factor due to fresh snow [-]
  * k_ov: Defines the impact of the individual layer density on the compaction due to overburden [-]
  * k: Exponent of the exponential-law compaction [m3/kg]
  * tau: Uncertainty bound [m]
  * eta_null: Effective compactive viscosity of snow for “zero-density” [Pa s]

en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-water-equivalent

display_name: snow-water-equivalent

en: SWE2HS model calibration and validation data


maintainer: Matthias Bürgi

en: land-use-modelling land-change agriculture scenarios pathways

state: active

type: dataset

media_type: application/pdf

format: PDF

media_type: application/zip

en: This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model according to the Agricultural Futures Framework (AFF) scenarios.

format: ZIP

en:
This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model and according to the Agricultural Futures Framework (AFF) scenarios.

Three scenarios are included:
- Land for Food and Land for Nature (LFLN)
- Land as Culture (LaC)
- Land for Society (LfS)

agriculture

display_name: agriculture

land-change

display_name: land-change

land-use-modelling

display_name: land-use-modelling

pathways

display_name: pathways

scenarios

display_name: scenarios

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: AFF agricultural land change scenarios in Europe 2015-2050


maintainer: EnviDat Support

en: european-summer-drought drought-2018 fagus-sylvatica growth-reaction-to-drought-stress leaf-senescence forests

en: Drought and Beech: 1000 beeches data set

en: The data set comprises data from the Drought and Beech 1000 beeches project. The actual data file with monitoring data of 963 beech trees in northern Switzerland over four years (Drought_and_Beech_1000beeches_Data_v1.0.csv), a metadata file with column descriptions (Drought_and_Beech_1000beeches_Legend_v1.0.csv), and a file defining the different survey periods (Drought_and_Beech_1000beeches_Survey_periods_v1.0.csv).

en: This study investigated multi-year drought impacts on beech forests through a unique large-scale monitoring of 963 individual beech trees, which showed either premature leaf discoloration during the drought in summer 2018 or no visible damage. We conducted the study in two highly drought-affected regions in northern Switzerland and one less drought-affected region located further south. We quantified the development of crown dieback and tree mortality as well as secondary drought damage, i.e. the presence of bleeding cankers and bark beetle infestations, in these trees for three consecutive years. We also determined the impact of several potential climate- and stand-related (predisposing) factors on mortality and drought legacy processes.

european-summer-drought

display_name: european-summer-drought

fagus-sylvatica

display_name: fagus-sylvatica

forests

display_name: forests

growth-reaction-to-drought-stress

display_name: growth-reaction-to-drought-stress

leaf-senescence

display_name: leaf-senescence

en: Data on multi-year drought impacts on European beech in northern Switzerland


maintainer: Henning Löwe

en: grain-shape discrete-element-modelling granular-snow angle-of-repose fast-sintering

media_type: text/plain

format: TXT

mimetype: text/plain

en: Angle of repose and 3D CT images

en:
5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

format: SERVICE

en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.

This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.

The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow

en: Angle of repose experiments with natural and spherical snow


maintainer: Dirk Nikolaus Karger

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

en: CHELSA V2.1 (current)

en: CHELSA Version 2.1 based on ERA5 forcings and CMIP6

format: GeoTIFF

en: CHELSA Technical Documentation

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

en: CHELSA V1.2 (deprecated)

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

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

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

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

bioclim

display_name: bioclim

climate

display_name: climate

climate-change

display_name: climate-change

climate-layers

display_name: climate-layers

climatology

display_name: climatology

free-climate-data

display_name: free-climate-data

precipitation

display_name: precipitation

temperature

display_name: temperature


causal-effect-of-lup

title_for_slug: causal-effect-of-lup

en: annual-effect plan-evaluation land-use-change land-use-planning psm-did

en: causal-effect-of-lup

en:
Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities
PSM_DID.R can re-produce the results

en:
Title: Does zoning contain built-up land expansion? Causal evidence from Zhangzhou City, China.

Research objective: Built-up land zoning is an imporatant policy measure of land use planning (LUP) to contain built-up land expansion in China. We used a difference-indifference model with propensity score matching to estimate the average and annual effect of built-up land zoning on built-up land expansion in Zhangzhou City, China between 2010 and 2020.

Data: Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020.
XZQDM2 is villages' unique administrative ID;
Area is the land area of village i;
Dis2water is the Euclidean distance from village i to the nearest waterbody;
Dis2coastl is the Euclidean distance from village i to the nearest coastline;
Dis2city is the the Euclidean distance from village i to the city center;
Dis2county is the the Euclidean distance from village i to the nearest county center;
Elevation is the the average elevation within village i;
Dis2road is the the Euclidean distance from village i to the nearest road;
Nei_Built_ is the the area of built-up land (Nei Built.upit) in the neighboring villages of village i in year t;
Treated is a binary variable, Treated = 1 to the villages that were partially or entirely located inside the development-permitted zones, and Treated = 0 to the villages that were entirely located outside the development-permitted zones;
Intensity is the percentage of land that was assigned to the development-permitted zones in village i;
Year represent the year in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020;
BuLE is the dependent variable, representing built-up land expansion in village i in year t;
Town is town' unique administrative ID.

Method: First, we employed propensity score matching to overcome the selection bias and satisfy the parallel trend
assumption. Second, we built four Difference-in-Difference models to estimate the average and annual effect.

annual-effect

display_name: annual-effect

land-use-change

display_name: land-use-change

land-use-planning

display_name: land-use-planning

plan-evaluation

display_name: plan-evaluation

psm-did

display_name: psm-did

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: Causal effect of LUP


maintainer: Armin Sigmund

en: lagrangian-analysis snow-sublimation evaporation antarctica isotopic-distillation backward-trajectories stable-water-isotopes

en: Data

en: Modeled data including the data shown in the figures of the related research article

en: Readme

en: Meta data

en: Model code

en: Model Sublimation and Model Air Parcel (python scripts)

en: Python scripts for data visualization

en: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

en:
 Summary

This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.

 Main model characteristics

The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.

 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.

 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.

 References

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6

Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes

en: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic


en: mediterraneaen marine marseille fish-composition edna teleo

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: Yaquan Chang

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

en: Hengduan plant family richness map

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

mimetype: application/zip

en: Eurasia SR and heteorgeneity

media_type: text/csv

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

format: CSV

mimetype: text/csv

en: Plant range map at Hengduan scale

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

en: HDM heterogeneity scales

en: The Heterogeneity matrics in the Hengduan mountain scale

en: Eurasia plant family richness map

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

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

habitat-heterogeneity

display_name: habitat-heterogeneity

hengduan-mountains

display_name: hengduan-mountains

hypervolume

display_name: hypervolume

model-residuals

display_name: model-residuals

phytodiversity

display_name: phytodiversity

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: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan


en: energy mountain snow irradiance photovoltaic reflection albedo

en: Windows users use the 7-zip app to extract the zip-file.

en: PV Data

format: XLS

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow


en: colombia metabarcoding teleo vert01 edna fish magdalena

en: Data access

en: Please cyberduck to download for the moment

en:
Monitoring of vertebrates of the lower Magdalena river through eDNA metabarcoding
The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets targeting different regions of the mitochondrial DNA 12S ribosomal RNA gene, to detect vertebrate diversity in the Magdalena River. We detected a total of 159 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases in relation to the proximity to the river mouth with a change in the composition of the assemblage of aquatic vertebrates detected. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. Samples were taken at the sides of the river or in the center using a boat. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 1 hours, during which a maximum of 30 liters of water were filtered through each capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
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)

colombia

display_name: colombia

edna

display_name: edna

fish

display_name: fish

magdalena

display_name: magdalena

metabarcoding

display_name: metabarcoding

en: Environmental DNA Freshwater Colombia Magdalena 2022


soil-property-maps-for-the-swiss-forest

title_for_slug: soil-property-maps-for-the-swiss-forest

en: soil-depth soil-properties soc switzerland dsm soil forest soil-ph soil-texture

en:
We used 2071 forest soil profiles to model a wide range of soil properties for the forested area of Switzerland. The spatial prediction is based on the principle of «digital soil mapping». This involves linking soil profiles with soil forming factors using statistical or machine learning methods.

A quantile regression forest (QRF) approach was applied to predict the following soil properties at six depth ranges: clay, gravel, sand, fine earth density, SOC. The depth ranges correspond to the standard depths of the [GlobalSoilMap.Net](https://www.isric.org/) specification: 0–5, 5–15, 15–30, 30–60, 60–100 and 100–200 cm. In addition, the total soil depth down to a non-root-permeable layer or solid rock soil thick was predicted. To quantify the uncertainty for each predicted pixel, the upper and lower limit of the 90% prediction interval derived from QRF was calculated. More details on the methods and results are described in Baltensweiler et al. 2021 and Baltensweiler et al 2022.

The soil property maps, and the uncertainty maps are provided as a GeoTIFF files at 25 m resolution. The excel file (xlsx) provides a short description of the raster layers.

**The soil and the uncertainty maps can be viewed in a simple web-GIS application available at:**
[www.wsl.ch/soilmaps](https://www.wsl.ch/soilmaps).

dsm

display_name: dsm

forest

display_name: forest

soc

display_name: soc

soil

display_name: soil

soil-depth

display_name: soil-depth

soil-ph

display_name: soil-ph

soil-properties

display_name: soil-properties

soil-texture

display_name: soil-texture

switzerland

display_name: switzerland

en: Soil property maps for the Swiss forest


maintainer: Matthias Haeni

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

en: Site aerial photo (Alpthal)

en: Site aerial photo from the Alpthal forest station. Source: Google. 2016. Site aerial photo from the Alpthal forest station. Retrieved November 11, 2016, from https://www.google.ch/maps

mimetype: image/jpeg

en: Data plot of the forest station (ALB)

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

mimetype: application/pdf

en: Forest station data (ALB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Alpthal in Switzerland which is located within a natural coniferous forest (ALB) with Norway spruce (_Picea abies_; 180-230 yrs) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Alpthal is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Alpthal, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


present-weather-sensor-klosters

maintainer: Maxime Hervo

title_for_slug: present-weather-sensor-klosters

en: weather visibility sensor raclets precipitation

en: Present Weather Sensor Klosters

en: Present Weather sensor measuring visibility and weather type installed at Klosters.

en: A present weather sensor (Vaisala PWD22) was deployed in Klosters (LON: 9.880413, LAT: 46.869019) for weather observation, combining the functions of a forwardscatter visibility meter and a present weather sensor. Besides measuring ambient light, it detects the intensity as well as the amount of both liquid and solid precipitation. More information can be found in the [User's Manual](ftp://ftp.cmdl.noaa.gov/aerosol/doc/manuals/PWD22_Manual.pdf).

raclets

display_name: raclets

sensor

display_name: sensor

visibility

display_name: visibility

weather

display_name: weather

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.


maintainer: Daniel Scherrer

en: air-pollution ground-vegetation climate-change fagus-sylvatica forest forest-management

en: Site Information

en: This table contains information about the 254 forest sites used in the publication of Scherrer et al. 2024.

en: Taxa Data

en: This table contains information about the individual taxa found in the historic and current vegetation relevés in Scherrer et al. 2024.

en: This dataset comprised 254 historical (1937 – 1948) and resurveyed (2019 – 2022) vegetation relevés of beech-dominated forests sites in the Swiss Jura mountains. The data contains species lists as well as site information.

air-pollution

display_name: air-pollution

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

forest-management

display_name: forest-management

ground-vegetation

display_name: ground-vegetation

en: Resurveyed vegetation releves of beech forests in the Swiss Jura Mountains


maintainer: Avalanche Warning Service SLF

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

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

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

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


maintainer: Yohann Chauvier

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

en: Data access

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

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


en: latitudinal-gradient microbial-biodiversity fungi soil-mulitfunctionality soil-microbiome prokaryotes

en: 16S_Han et al_EUgradient.xlsx

en: Diversity of prokaryotes (16S gene sequencing) containing: 1) ASV (Amplicon Sequence Variants) table: abundance of ASV in each sample and 2) Taxonomy table: taxonomic classification of each ASV.

en: Metadata, soil properties and soil microbial functions for each sites across the European gradient.

en: ITS_Han et al_EUgradient.xlsx

en: Diversity of fungi (ITS region sequencing) containing: 1) ASV (Amplicon Sequence Variants) table: abundance of ASV in each sample and 2) Taxonomy table: taxonomic classification of each ASV.

en: The diversity and network complexity of prokaryotic and fungal communities and their relationships with soil multifunctionality (SMF) – an integrative index for C-, N- and P-cycling functions – was investigated along a 3,000-km latitudinal transect across Europe (37° to 62°N), spanning biomes from Mediterranean drylands, temperate to boreal forests.

fungi

display_name: fungi

latitudinal-gradient

display_name: latitudinal-gradient

microbial-biodiversity

display_name: microbial-biodiversity

prokaryotes

display_name: prokaryotes

soil-microbiome

display_name: soil-microbiome

soil-mulitfunctionality

display_name: soil-mulitfunctionality

educ

en: Education, culture and sport

en: Soil microbial diversity and multifunctionality across European biomes


en: snowmelt alpine monitoring long-term climate grassland imis ultrasonic snow phenology

en: Contains custom functions required for the scripts; this file must be sourced before running other scripts.

format: OCTET

en: Contains daily climate station data including daily median temperatures, snow depth, plant height, and annual melt-out timings.

en: Contains filtered annual phenological data from 40 IMIS stations suitable and used for phenological analysis

en: Temporary data. Contains annual unfiltered output of phenofit (i.e. the variable names are in line with the phenofit documentation), including all curve parametrization variables for plotting and additional variables, which are not necessarily used in the analysis.

en: Contains annual phenological variables and phenofit outputs, sorted, ordered and renamed according with the readme in this repository

en: Contains IMIS station location data

en: Is the readme that documents all data and code in this repository

en: Contains unfiltered annual phenological, temperature and snow-climatic data for all IMIS stations.

en: Documents and reproduces the statistical models used in the analysis.

en: Generates the methods-related figures used in the publication.

media_type: image/png

en: Snow3.png and grass.png are needed for plotting the methods plot in 5_methods_plots.Rmd

format: PNG

en: implements the phenofit method. Note: This script is computationally intensive and may take a while to run. We recommend using the temporary data created from it (i.e. starting from 2_temperature.R). For a better description of the phenofit R package and the different methods to determine the SOG, see Kong et al. (2022): https://doi.org/10.1111/2041-210X.13870

en:
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions is largely driven by snowmelt timing and local temperature, it is essential to simultaneously track phenological shifts, snowmelt, and near-ground temperatures. In this study, we make use of ultrasonic snow height sensors installed at climate stations in the Swiss Alps to reveal phenological advance of grassland ecosystems and relate them to climatic changes over 25 years (1998 – 2023). When snow is absent, these snow height sensors additionally provide information on plant growth at a uniquely fine temporal scale. Daily temperatures and snow- / plant height values, annual phenological- and melt-out dates were derived from IMIS climate station data (doi.org/10.16904/envidat.406). We observed an advance of green-up by -2.4 days/decade coinciding with strong warming of up to +0.8°C/decade. Although the timing of melt-out has not changed significantly over the study period in this focal region, phenological responses to early melt-out years varied due to differing influences of photoperiodic and thermal constraints, which were not equally important across elevations and communities. Phenological shifts of alpine grasslands are thus likely to become even more pronounced if melt-out timing advances in the future as predicted.
This repository relates to the publication Zehnder et al. (2025). Snow height sensors reveal phenological advance in alpine grasslands. Global Change Biology. accepted. The model data and code that support our findings are deposited in this repository.

alpine

display_name: alpine

grassland

display_name: grassland

imis

display_name: imis

long-term

display_name: long-term

monitoring

display_name: monitoring

phenology

display_name: phenology

snow

display_name: snow

snowmelt

display_name: snowmelt

ultrasonic

display_name: ultrasonic

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: IMIS Phenology Data Since 1998


maintainer: Esther R. Frei

en: seedling-recruitment forest climate-change larix-decidua swiss-alps stillberg picea-abies treeline g-tree

en: climate data G-TREE experiment, Davos, Switzerland

en:
 Background information
Climate change-induced range expansion of treeline populations depends on their successful recruitment, which requires dispersal of viable seeds followed by successful establishment of individual propagules. The Global Treeline Range Expansion Experiment (G-TREE) is a global initiative involving researchers from Europe, North America, Australia and New Zealand (Brown et al., 2013). At 15 alpine and Arctic treeline sites worldwide the mechanisms determining the elevational and latitudinal distribution of tree populations are studied using a standardized experimental approach. In summer 2013, a multifactorial seedling recruitment experiment has been established at the Stillberg ecological treeline research site. The aim of this experiment, is to quantify the effect of multiple abiotic and biotic drivers on emergence, survival, and growth of *Larix decidua* and *Picea abies* seedlings in replicated plots along an elevation gradient with three sites below (1930 m a.s.l.), at (2090 m a.s.l.), and above treeline (2410 m a.s.l.; Frei et al., 2018). All plots have been surveyed annually to count seedlings and to measure their total height. Additional environmental factors, such as soil temperature, have been recorded.

 Experimental design
The Stillberg research area is located in the Eastern Swiss Alps near Davos, Switzerland. The site has been used for several long-term monitoring as well as experimental studies for the last four decades. Our G-TREE experiment consists of a lowest site located in a subalpine Larch-Spruce forest (*Larici-Picetum*) dominated by *Larix decidua* and *Picea abies* (1930 m a.s.l.), a transition zone site dominated by alpine shrubs (2100 m a.s.l.), and an uppermost site in an alpine meadow with some dwarf shrubs (2390 m a.s.l.). The three experimental sites were set up following the standard protocol of the global G-TREE initiative (Brown et al., 2013). In a split-plot design, 20 plots (224 cm × 45 cm) were established at each site, which were randomly assigned to the 2 × 2 treatment combinations of the main factors seeding and scarification (i.e. seeding and scarification, seeding only, scarification only, and full control), resulting in five replications per main treatment combination. Each plot was divided into 16 split-plots (22.5 cm × 28 cm), to which treatment combinations of four additional two-level factors species (larch and spruce), provenance (low- and high-elevation), herbivore exclosure (with and without exclosure), and seeding year (2013, 2014) were randomly assigned, which resulted in a total of 960 split-plots (Details see Frei et al. 2018).

 Data description
All plots have been surveyed annually to count seedlings and to measure their total height. Seedling height was assessed with a hand ruler as the total length from the original emerging point to the apical meristem (Details see Frei et al. 2018). Additionally, soil temperature at each site, has been continuously recorded since 2013. Here, we present data from eight years (2013–2021).

climate-change

display_name: climate-change

forest

display_name: forest

g-tree

display_name: g-tree

larix-decidua

display_name: larix-decidua

picea-abies

display_name: picea-abies

seedling-recruitment

display_name: seedling-recruitment

stillberg

display_name: stillberg

swiss-alps

display_name: swiss-alps

treeline

display_name: treeline

educ

en: Education, culture and sport

en: G-TREE: Global Treeline Range Expansion Experiment Davos, Switzerland


maintainer: Roksolana Petrovska

en: regeneration fagus dominance acer shade-tolerance mortality-rate lar

en: Mortality of regeneration

en: Acer platanoides, Acer pseudoplatanus and Fagus sylvatica living and dead juveniles (0-500 cm in height) grown in the deep shade of a prime beech-dominated forest.

en: The R-script of survival analysis for accelerated failure time model

en:
 One individual per species, vitality class (low and high) and height class (eight classes: 0–10, 11–20, 21–35, 36–60, 61–90, 91–130, 131–200 and 201–500 cm) was randomly selected and harvested in each of the six plots. This resulted in a sample of 82, 80 and 89 living individuals of A. platanoides, A. pseudoplatanus and F. sylvatica, respectively.

 Additionally stems of dead Acer spp. and F. sylvatica trees that had died within the last three years (2015–2018) were randomly harvested, matching the height classes of the harvested living trees wherever possible. In total, 179 dead young trees (60 A. platanoides, 72 A. pseudoplatanus and 47 F. sylvatica) were collected.

 Variables:
* species_code: a_pla - Acer platanoides, a_pse - Acer pseudoplatanus, f_syl - Fagus sylvatica
* species: as above
* dummy: 0 - living individual, 1 - dead individual
* LAR_cm2_g: leaf area ratio or ratio of leaf area to total plant biomass, [cm2/g]
* tree_age: in years
* avg_ring_micron: average width of the last 5 rings in tree life excluding the last ring
* dry_mass_g: aboveground and belowground biomass
* DLI: direct light index (measured only under living individuals)
* BLI: diffuse light index (measured only under living individuals)
* GLI: global light index

acer

display_name: acer

dominance

display_name: dominance

fagus

display_name: fagus

lar

display_name: lar

mortality-rate

display_name: mortality-rate

regeneration

display_name: regeneration

shade-tolerance

display_name: shade-tolerance

en: Mortality of regeneration: Acer spp. and Fagus sylvatica


maintainer: Izabela Bujak-Ozga

en: catchment drainage drainage-network catchment-data precipitation water-level channel dynamics

en: Documentation for the Short-term Drainage Density Dynamics Dataset for the Haute-Mentue Catchment (dataset_of_flowing_drainage_network_lengths_water_levels_and_precipitation_for_the_haute-mentue_catchment.csv). This document provides a detailed description of the collected data, the locations where it was recorded, the data format, and the curation process applied.

en: The dataset consists of time series of measured surface and groundwater levels, calculated flowing drainage network lengths, and nearby precipitation data for two sub-catchments of the Haute-Mentue catchment, Switzerland (Summer-Autumn 2022). The details of the dataset are described in the provided documentation (short-term_drainage_density_dynamics_dataset_documentation_for_the_haute-mentue_catchment.pdf)

en: The dataset contains time series of water levels, precipitation measured in the two sub-catchments of the Haute-Mentue catchment and its vicinity during summer and autumn 2022, as well as flowing drainage network lengths calculated for these areas using the CEASE method developed by the authors. Detailed description of the dataset is provided in the documentation.

catchment

display_name: catchment

catchment-data

display_name: catchment-data

channel

display_name: channel

drainage

display_name: drainage

drainage-network

display_name: drainage-network

dynamics

display_name: dynamics

precipitation

display_name: precipitation

water-level

display_name: water-level


maintainer: Thorsten Bartels-Rausch

en: antartic snow polar cryosphere arctic sea-salt-aerosol laboratory-study

en: Experimental results of uptake coefficient vs. temperature and ozone concentration

en:
Data to Figure 3: Measured uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.

Data to Figure 6: Measured uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

en: Experimental Results: Uptake coefficients vs. temperature and ozone concentration

en:
* Final Data to Figure 3: Uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.
* Final Data to Figure 6: Uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

The average ozone uptake coefficients of the three cycles between the bypass and the flow tube per repeat is taken as the mean uptake coefficient for each experiment. Gamma was corrected for gas phase diffusion limitation following the Cooney–Kim– Davis (CKD) method52 (see supporting material of publication for details).

en: The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere.

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow

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: Kinetic experiments on the oxidation of bromide by ozone from 289-245 K.


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

en: Field station data (VSF)

en: Data file.

en: Site photo of the forest station (VSB)

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

en: Data plot of the field station (VSF)

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

en: Site photo of the field station (VSF)

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

en: Forest station data (VSB)

en: Site aerial photo (Visp)

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

en: Data plot of the forest station (VSB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

en: Visp, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Chunhong Zhao

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

en: Land use dynamics in Austin since 1992

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

austin

display_name: austin

land-dynamics

display_name: land-dynamics

land-use

display_name: land-use

landscape

display_name: landscape

urban-morphology

display_name: urban-morphology

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


bienenseuchen-sperrkreise

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: bienenseuchen-sperrkreise

author: Amt für Verbraucherschutz

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

de: AGIS Direktdownload

de: Bienenseuchen Sperrkreise

format: WMS

de: Infizierte Bienenstände und temporäre Magazine

de: Amt für Verbraucherschutz

de: AGIS Service Center Kanton Aargau

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

political_level: canton

value: Aargau-Kt - Geocat Harvester


tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

author: Bundesamt für Raumentwicklung

fr: Web-SIG ARE

de: Web-GIS ARE

it: Web-SIG ARE

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Villes et agglomérations VaCO"

de: WMS-BGDI Dienst, Layer "Städte und Agglomerationen BeSA"

en: WMS-FSDI service, layer "Cities and conurbations BeSA"

it: Servizio WMS-IFDG, strato "Città e agglomerati CaCO"

fr: Service WMTS-IFDG, couche , Layer "Villes et agglomérations VaCO"

de: WMTS-BGDI Dienst, Layer "Städte und Agglomerationen BeSA"

en: WMTS-FSDI service, layer "Cities and conurbations BeSA"

it: Servizio WMTS-IFDG, strato "Città e agglomerati CaCO"

format: WMTS

fr: Serveur de téléchargement de geo.admin.ch

de: Download von data.geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

format: HTML

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: La liste des villes et agglomérations ayant droit aux contributions indique quelles sont les communes ayant droit aux contributions fédérales dans le cadre du programme en faveur du trafic d'agglomération (conformément à l'annexe de l’ordonnance du DETEC concernant le programme en faveur du trafic d’agglomération [OPTA, RS 725.116.214]). La base de cette liste est la définition de l’espace à caractère urbain de l'Office fédéral de la statistique OFS (2012). Dans ce contexte, l'éligibilité aux contributions a été maintenue pour toutes les communes ayant droit aux contributions sur la base de la définition des agglomérations de 2000. Le nombre de communes couronnes a été réduit par rapport à la définition de l'OFS de 2012 en appliquant des critères statistiques. En outre, les communes de Sarnen et d'Appenzell ont été incluses dans la liste des villes et agglomérations ayant droit aux contributions en tant que chefs-lieux de canton. De petits ajustements ont été effectués en arrondissant et en comblant les lacunes. La mise à jour du 01.08.2025 se fonde sur la définition des agglomérations de 2020 et comprend les propositions d'ajout ou de suppression de communes faites par les cantons et les agglomérations et approuvées par la Confédération.

de: Die Liste der Beitragsberechtigten Städte und Agglomerationen bildet ab, welche Gemeinden im Rahmen des Programms Agglomerationsverkehr für Beiträge des Bundes beitragsberechtigt sind (gemäss Anhang der Verordnung des UVEK über das Programm Agglomerationsverkehr [PAVV, SR 725.116.214]). Die Grundlage für die Liste bildet die Definition des «Raums mit städtischem Charakter» des Bundesamts für Statistik BFS (2012). Dabei wurde die Beitragsberechtigung für alle Gemeinden erhalten, die aufgrund der Agglomerationsdefinition von 2000 beitragsberechtigt waren. Die Anzahl Gürtelgemeinden wurde gegenüber der Definition des BFS von 2012 durch die Anwendung statistischer Kriterien reduziert. Überdies wurden die Gemeinden Sarnen und Appenzell als Kantonshauptorte in die Liste der Beitragsberechtigten Städte und Agglomerationen aufgenommen. Mit Arrondierungen und Lückenfüllungen wurden noch kleine Bereinigungen durchgeführt. Die Aktualisierung vom 01.08.2025 basiert auf der Agglomerationsdefinition 2020 und umfasst die berücksichtigten Vorschläge der Kantone und Agglomerationen auf Aufnahme oder Streichung von Gemeinden.

en: The list of cities and conurbations which qualify for subsidies shows which municipalities are entitled to federal subsidies within the framework of the Urban Transport programme (in accordance with Annex of the DETEC Ordinance on the Urban Transport Programme [PAVV, SR 725.116.214]). The basis for the list shows the definition of “Spaces with an urban character” from the Federal Statistical Office, FSO (2012). This includes the right to subsidies for all municipalities that are entitled to subsidies based on the definition of a conurbation from 2000. The number of adjoining communities are reduced in accordance with the definition by the Federal Statistical Office, FSO in 2012, through the use of statistical criteria. The municipalities of Sarnen and Appenzell as canton capitals are also included in the list of cities and conurbations which qualify for subsidies. Small adjustments were made with realignments and fillings in the gaps. The update dated 1 August 2025 is based on the 2020 agglomeration definition and includes the proposals from the cantons and agglomerations regarding the inclusion or removal of municipalities.

it: L'elenco delle città e degli agglomerati che possono beneficiare dei contributi indica quali Comuni possono beneficiare dei contributi federali nell'ambito del Programma Traffico d'agglomerato (conformemente all'allegato dell'ordinanza dal DATEC concernente il programma Traffico d’agglomerato [OPTA, RS 725.116.214]). La base dell'elenco è la definizione di «area a carattere urbano» dell'Ufficio federale di statistica UST (2012). In questo contesto, l'ammissibilità ai contributi è stata mantenuta per tutti i Comuni che erano ammissibili ai contributi in base alla definizione di agglomerato del 2000. Il numero di Comuni della cintura è stato ridotto rispetto alla definizione dell'UST del 2012 applicando criteri statistici. Inoltre, i Comuni di Sarnen e Appenzello sono stati inseriti nell'elenco delle città e degli agglomerati aventi diritto ai contributi in quanto capoluoghi cantonali. Sono stati effettuati piccoli aggiustamenti arrotondando e colmando le lacune. L'aggiornamento del 1° agosto 2025 si basa sulla definizione di agglomerato del 2020 e include le proposte prese in considerazione dai Cantoni e dagli agglomerati di aggiungere o stralciare singole Comuni.

spatial: Schweiz

de: Bundesamt für Raumentwicklung

en: Federal Office for Spatial Development

bundesamt-fur-raumentwicklung-are

fr: Office fédéral du développement territorial ARE

de: Bundesamt für Raumentwicklung ARE

en: Federal Office for Spatial Development ARE

it: Ufficio federale dello sviluppo territoriale ARE

fr: L'ARE est le centre de compétences de la Confédération pour les questions liées au développement territorial, à la politique des transports, au développement durable ainsi qu'à la coopération transnationale en matière de territoire.

de: Das ARE ist die Fachbehörde des Bundes für Fragen der räumlichen Entwicklung, für die Verkehrspolitik, die nachhaltige Entwicklung sowie die transnationale Zusammenarbeit in räumlichen Belangen.

en: The ARE is the federal government's centre of excellence for issues concerning spatial development, transport policy, sustainable development and international cooperation in spatial planning matters.

it: L'ARE è l'autorità federale responsabile per le questioni di sviluppo territoriale, politica dei trasporti, sviluppo sostenibile e collaborazione transnazionale in ambito territoriale.

political_level: confederation

value: ARE - Geocat Harvester

fr: Villes et agglomérations ayant droit aux contributions

de: Beitragsberechtigte Städte und Agglomerationen

en: Cities and conurbations which qualify for subsidies

it: Città e agglomerati aventi diritto ai contributi


verkehrslagenotenplane

regi

de: Regionen und Städte

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

title_for_slug: verkehrslagenotenplane

author: Steuerverwaltung - Abteilung Amtliche Bewertung

de: geocat.ch Permalink

protocol: WWW:DOWNLOAD:ESRI Shapefile (SHP)

fr: Fichier ZIP avec shapefile, métadonnées et données d'accompagnement

de: ZIP-Datei mit Shapefile, Metadaten und Begleitdaten

format: SHP

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

fr: Fichier ZIP avec géopackage avec métadonnées

de: ZIP-Datei mit Geopackage mit Metadaten

format: GPKG

fr: Fichier géoparquet - Notes d’accessibilité

de: Geoparquet-Datei - Verkehrslagenoten

format: PARQUET

fr: Les données contenient les notes d'accessibilité fixées par la commission cantonale d’estimation pour chaque commune et territoire communal du canton de Berne. Ces notes sont une partie intégrante des évaluations officielles des immeubles et sont valables dès l’année 2020. La notation varie de 1 (note la plus mauvaise) à 9 (note maximale).

de: Die Daten enthalten die durch die kantonale Schätzungskommission festgesetzten Verkehrslagenoten je Gemeinde, respektive je Gemeindekreises (Kanton Bern). Diese Noten sind ein Bestandteil der amtlichen Bewertung von Grundstücken und sind ab dem Steuerjahr 2020 gültig. Die Benotung verläuft von 1 (schlechteste Note) bis 9 (beste Note).

spatial: Kanton Bern

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

de: Amt für Geoinformation des Kantons Bern

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

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

value: Bern-Kt - Geocat Harvester

fr: Plan des notes d'accessibilité

de: Verkehrslagenotenpläne


geotope-von-regionaler-bedeutung

regi

fr: Régions et villes

envi

fr: Environnement

de: Umwelt

title_for_slug: geotope-von-regionaler-bedeutung

author: Amt für Landwirtschaft und Natur - Naturförderung ANF

fr: geocat.ch permalien

fr: Fichier géoparquet - Géotopes régionales, surfaces

de: Geoparquet-Datei - Geotope regional, Flächen

fr: Fichier géoparquet - Géotopes régionales, points

de: Geoparquet-Datei - Geotope regional, Punkte

fr: Le jeu de données comprend une liste de géotopes sélectionnés dans le canton de Berne. Les géotopes sont des portions de la géosphère délimitées dans l'espace qui revêtent une importance géologique, géomorphologique ou géoécologique particulière. Sélectionnés selon le  'principe de l'Arche de Noé', ils satisfont aux critères suivants: rareté, état de préservation / préservation des caractères originels / intégralité, importance scientifique et représentativité pour l'histoire de la Terre ainsi que visibilité / fait qu’ils soient reconnaissables / qualité didactique. Par ailleurs, il a été veillé à ce que la sélection soit diversifiée autant au niveau des disciplines que sur le plan spatial. Les objets peuvent être classés selon huit disciplines sur les trois régions que sont le Jura, le Plateau et les Alpes.

de: Der Datensatz beinhaltet ein Verzeichnis mit ausgewählten Geotopen im Kanton Bern. Geotope sind räumlich begrenzte Teile der Geosphäre von besonderer geologischer, geomorphologischer oder geoökologischer Bedeutung. Sie erfüllen die Kriterien Seltenheit, Erhaltungszustand/Ursprünglichkeit/Ganzheit, wissenschaftliche und erdgeschichtliche Bedeutung sowie Sichtbarkeit/Erkennbarkeit/didaktische Qualität und werden nach dem 'Arche-Noah-Prinzip' ausgewählt. Ausserdem wurde darauf geachtet, dass eine fachliche sowie räumliche Diversität in der Auswahl gewährleistet ist. Die Objekte können in acht Fachbereiche und in die drei Regionen Jura, Mittelland und Alpen eingeteilt werden.

spatial: Kanton Bern (reduziert)

fr: Géotopes d'importance régionale

de: Geotope von regionaler Bedeutung


fischereiaufsichtskreise

title_for_slug: fischereiaufsichtskreise

author: Amt für Geoinformation

fr: Fichier géoparquet - Arrondissements de surveillance de la pêche

fr: Présentation des limites des sept arrondissements de surveillance de l'inspection de la pêche. Les limites s'orientent tout d'abord aux bassins versants des cours d'eau et en seconde ligne aux limites politiques. Le garde-pêche compétent de l'arrondissement (chef d'arrondissement) est l'interlocuteur pour toutes les questions en rapport avec la protection et l'exploitation des poissons et pour les interventions techniques aux cours d'eau.

de: Darstellung der Grenzen der sieben Fischereiaufsichtskreise des Fischereiinspektorates. Die Grenzen orientieren sich primär an den Gewässereinzugsgebieten und nur in zweiter Linie an politischen Grenzen. Der für einen Kreis zuständige Fischereiaufseher (Kreisleiter) ist Ansprechperson für alle Fragen im Zusammenhang mit dem Schutz und der Nutzung der Fischbestände und für technische Eingriffe am Gewässer.

fr: Amt für Geoinformation

de: Amt für Geoinformation

en: Amt für Geoinformation

it: Amt für Geoinformation

de: Fischereiaufsichtskreise


steininventare

regi

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

title_for_slug: steininventare

fr: Fichier ZIP avec shapefile, métadonnées et données d'accompagnement

fr: Fichier géoparquet - Bornes de lieues

de: Geoparquet-Datei - Stundensteine

fr: Fichier géoparquet - Bornes de limites cantonales

de: Geoparquet-Datei - Kantonsgrenzsteine

fr: Fichier géoparquet - Bornes historiques

de: Geoparquet-Datei - Historische Grenzsteine

fr: L'inventaire des bornes de limites STEINV du canton de Berne compile l'inventaire des bornes de limites cantonales, celui des bornes de limites historiques (ancien Evêché de Bâle et abbaye de Bellelay) et celui des bornes de lieues.

de: Das Steininventar STEINV des Kantons Bern enthält die Inventare der Kantonsgrenzsteine, der Historischen Steine (Grenzsteine Fürstbistum Basel / Grenzsteine Abtei Bellelay) und der Stundensteine.

fr: Inventaires des bornes

de: Steininventare


lawinenverbauungen

envi

en: Environment

it: Ambiente

title_for_slug: lawinenverbauungen

de: naturgefahr lawine lawinenschutz

author: Amt für Wald und Naturgefahren - Naturgefahren

de: geocat.ch Permalink

de: ZIP-Datei mit Shapefile, Metadaten und Begleitdaten

fr: Fichier ZIP avec géopackage avec métadonnées

de: ZIP-Datei mit Geopackage mit Metadaten

fr: Fichier géoparquet - Périmètres de constructions paravalanches

fr: Fichier géoparquet - Projets de constructions paravalanches

fr: Périmètres de constructions paravalanche et projets de reboisement du canton de Berne

de: Perimeter der Lawinenverbauungs- und Aufforstungsprojekte im Kanton Bern

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

de: Amt für Geoinformation des Kantons Bern

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

fr: Constructions paravalanches

de: Lawinenverbauungen


fremdenverkehrsgemeinden

regi

fr: Régions et villes

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

title_for_slug: fremdenverkehrsgemeinden

fr: habitation zone-touristique commune tourisme

de: wohnung touristengebiet gemeinde fremdenverkehr

author: Amt für Wirtschaft

fr: geocat.ch permalien

en: geocat.ch permalink

it: geocat.ch link permanente

fr: Fichier géoparquet - Communes à vocation touristique

fr: L’acquisition d’immeubles par des personnes à l’étranger est subordonnée à une autorisation de l’autorité cantonale compétente. L'achat d'un logement de vacances ou un appartement dans un apparthôtel ne peut être approuvé que si le logement est situé dans un lieu à vocation touristique désigné par le canton. (Acquisition d'immeubles par des personnes à l'étranger (<https://www.weu.be.ch/fr/start/themen/wirtschaft-und-arbeit/aufsicht-pruefen-kontrollieren/marktaufsicht.html>))

de: Personen im Ausland bedürfen für den Erwerb von Grundstücken einer Bewilligung der zuständigen kantonalen Behörde. Der Erwerb einer Ferienwohnung oder einer Wohneinheit in einem Aparthotel kann nur dann bewilligt werden, wenn sich die Wohnung in einem vom Kanton bezeichneten Fremdenverkehrsort befinden. (Grundstückerwerb durch Personen aus dem Ausland (<https://www.weu.be.ch/de/start/themen/wirtschaft-und-arbeit/aufsicht-pruefen-kontrollieren/marktaufsicht.html>))

spatial: Kanton Bern (erweitert)

fr: Amt für Wirtschaft

de: Amt für Wirtschaft

en: Amt für Wirtschaft

it: Amt für Wirtschaft

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

fr: Communes à vocation touristique

de: Fremdenverkehrsgemeinden


regionen-der-eichamter

regi

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: regionen-der-eichamter

fr: verificatrices verificateurs arrondissements-de-verification poids-et-mesures

de: eichmeisterinnen eichmeister eichkreise mass--und-gewichtswesen

fr: Fichier ZIP avec shapefile, métadonnées et données d'accompagnement

fr: Fichier géoparquet - Arrondissements des offices de vérification

de: Geoparquet-Datei - Regionen der Eichämter

fr: Il existe cinq offices de vérification dans le canton de Berne, auxquels sont rattachés les arrondissements de vérification BE+1 à BE+5 (basé sur l'art 3. de l'Ordonnance sur les poids et mesures [OPM; RSB 941.11]). Chaque office de vérification est dirigé par une vérificatrice ou un vérificateur.

de: Im Kanton Bern bestehen fünf Eichämter, denen die Eichkreise BE+1 bis BE+5 zugeordnet sind (gemäss Art. 3 der Verordnung über das Mass- und Gewichtswesen [MGV; BSG 941.11]). Jedem Eichamt steht eine Eichmeisterin oder ein Eichmeister vor.

de: Regionen der Eichämter


tiefbauamtkreise

title_for_slug: tiefbauamtkreise

fr: departement-uk route ingenierie

de: landkreis strasse ingenieurwesen

author: Tiefbauamt - Dienstleistungszentrum

de: geocat.ch Permalink

de: ZIP-Datei mit Shapefile, Metadaten und Begleitdaten

fr: Fichier ZIP avec géopackage avec métadonnées

fr: Fichier géoparquet - Inspections des routes

de: Geoparquet-Datei - Strasseninspektorate

fr: Fichier géoparquet - Arrondissements d'ingénieur en chef

de: Geoparquet-Datei - Oberingenieurkreise

fr: L'Office des ponts et chaussées du canton de Berne comprend quatre arrondissements d'ingénieur en chef, chacun avec des inspections des routes. Les données d'attributs sont les adresses des arrondissements d'ingénieur en chef et des inspections des routes.

de: Das Tiefbauamt des Kantons Bern umfasst vier Oberingenieurkreise und die zugehörigen Strasseninspektorate. Als Attributdaten liegen Kontaktadressen der jeweiligen Oberingenieure bzw. Strasseninspektorate vor.

fr: Tiefbauamt - Dienstleistungszentrum

de: Tiefbauamt - Dienstleistungszentrum

en: Tiefbauamt - Dienstleistungszentrum

it: Tiefbauamt - Dienstleistungszentrum

fr: Arrondissements de l'Office des ponts et chaussées

de: Tiefbauamtkreise


wildschadengutachten

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

title_for_slug: wildschadengutachten

fr: gibier conseil bois gestion-forestiere

de: wild gutachten wald forstwirtschaft

author: Amt für Wald und Naturgefahren - Fachdienste und Ressourcen

fr: geocat.ch permalien

de: ZIP-Datei mit Geopackage mit Metadaten

fr: Fichier géoparquet - Expertise des dégâts du gibier, essences principales (ancienne)

de: Geoparquet-Datei - Wildschadengutachten, Hauptbaumarten (wie bisher)

fr: Fichier géoparquet - Expertise des dégâts du gibier, forêt résiliente

de: Geoparquet-Datei - Wildschadengutachten, resilient

fr: Avec l'expertise des dégâts du gibier (EDG), l'OFDN recense tous les deux ans les effets de l'influence des ongulés sur le rajeunissement de la forêt. On évalue si l'objectif de rajeunissement peut être atteint (tolérable), si sa réalisation est incertaine (critique) ou s'il ne peut pas être atteint (intolérable). Les relevés sont effectués sur des surfaces de référence dont les résultats sont appliqués à l'ensemble de la surface forestière. En raison de cette extrapolation et afin d'éviter une fausse précision, il n'est possible de zoomer dans la couche cartographique que jusqu'à une échelle de 1:180'000. Informations complémentaires (https://www.weu.be.ch/fr/start/themen/umwelt/wald/informationen-waldbesitzer-innen/wildtiereinfluss-wald.html)

de: Das AWN erhebt mit dem Wildschadengutachten (WSG) alle zwei Jahre, wie sich der Einfluss des Schalenwildes auf die Waldverjüngung auswirkt. Dabei wird unterschieden, ob das Verjüngungsziel erreicht werden kann (tragbar), ob die Erreichung unsicher ist (kritisch) oder ob es nicht erreicht werden kann (untragbar). Die Aufnahmen erfolgen auf sogenannten Referenzflächen, deren Resultate auf die gesamte Waldfläche arrondiert werden. Aufgrund der Arrondierung und um eine Scheingenauigkeit zu vermeiden, kann nur bis zu einem Massstab von 1:180'000 in den Kartenlayer hinein gezoomt werden. Weitere Informationen (https://www.weu.be.ch/de/start/themen/umwelt/wald/informationen-waldbesitzer-innen/wildtiereinfluss-wald.html)

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

de: Amt für Geoinformation des Kantons Bern

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

fr: Expertise des dégâts du gibier

de: Wildschadengutachten


gemeindedaten

regi

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: gemeindedaten

fr: densite-de-population population commune bordure

de: bevolkerungsdichte bevolkerung gemeinde grenze

fr: Fichier ZIP avec shapefile, métadonnées et données d'accompagnement

fr: Fichier géoparquet - Données sur les communes

de: Geoparquet-Datei - Gemeindedaten

fr: Les données contiennent des informations statistiques et administratives sur les communes du canton de Berne, entre autres la surface, le nombre d'habitants et la densité de la population par hectare, ainsi que l'adresse et les contacts des administrations communales. Les limites basent sur les données cantonales 'Limites politiques généralisées du canton de Berne' à l'échelle 1:5'000.

de: Der Gemeinden-Datensatz enthält statistische und administrative Informationen zu den Gemeinden des Kantons Bern, unter anderem die Fläche, Einwohnerzahl und Bevölkerungsdichte pro ha sowie Adresse und Kontakt der Gemeindeverwaltungen. Die Grenzen beruhen auf dem kantonalen Datensatz 'Politische Grenzen generalisiert' des Kantons Bern' im Massstab 1:5'000.

fr: Amt für Geoinformation

de: Amt für Geoinformation

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

fr: Données sur les communes

de: Gemeindedaten


fr: etablissement-humain batiment climat vegetation trafic eaux-geographie ensemble-residentiel-urbain plan-doccupation-des-sols planification

de: siedlung gebaude klima vegetation verkehr gewasser stadtische-siedlung flachennutzungsplan planung

author: Amt für Umwelt und Energie

de: geocat.ch Permalink

fr: Fichier ZIP avec shapefile, Esri Grid, métadonnées et données d'accompagnement

de: ZIP-Datei mit Shapefile, Esri Grid, Metadaten und Begleitdaten

fr: Fichier ZIP avec géopackage avec métadonnées

fr: Fichier géoparquet - Eaux (modèle climatique), 2020

de: Geoparquet-Datei - Gewässer (Klimamodell), 2020

fr: Fichier géoparquet - Hausse prospective de la charge thermique nocturne dans les espaces urbains et les zones de circulation, 2020

de: Geoparquet-Datei - Perspektivische Zunahme der nächtlichen Wärmebelastung in den Siedlung- und Verkehrsflächen, 2020

fr: Fichier géoparquet - Pôles de développement urbanistique, 2060

de: Geoparquet-Datei - Städtebauliche Entwicklungsgebiete mit perspektivischer Bebauung, 2060

fr: Fichier géoparquet - Qualité de séjour dans les espaces verts et ouverts, 2020

de: Geoparquet-Datei - Aufenthaltsqualität in Grün- und Freiflächen, 2020

fr: Fichier géoparquet - Qualité de séjour dans les espaces verts et ouverts, 2060

de: Geoparquet-Datei - Aufenthaltsqualität in Grün- und Freiflächen, 2060

fr: Fichier géoparquet - Hausse prospective de l'importance bioclimatique d'un espace vert, 2020

de: Geoparquet-Datei - Perspektivische Zunahme der bioklimatischen Bedeutung einer Grünfläche, 2020

fr: Fichier géoparquet - Couloir, espaces verts dans un couloir d'air froid, 2020

de: Geoparquet-Datei - Leitbahnkorridor, Grünflächen innerhalb einer Kaltluftleitbahn, 2020

fr: Fichier géoparquet - Couloirs d'air froid, 2020

de: Geoparquet-Datei - Kaltluftleitbahnen, 2020

fr: Fichier géoparquet - Situation de surchauffe bioclimatique à 2 m du sol dans les espaces urbains, 2020

de: Geoparquet-Datei - Bioklimatische Überwärmungssituation in den Siedlungsflächen in 2 m über Grund, 2020

fr: Fichier géoparquet - Situation de surchauffe bioclimatique à 2 m du sol dans les espaces urbains, 2060

de: Geoparquet-Datei - Bioklimatische Überwärmungssituation in den Siedlungsflächen in 2 m über Grund, 2060

fr: Fichier géoparquet - Situation de surchauffe bioclimatique à 2 m du sol dans les zones de circulation, 2020

de: Geoparquet-Datei - Bioklimatische Überwärmungssituation in den Verkehrsflächen in 2 m über Grund, 2020

fr: Fichier géoparquet - Situation de surchauffe bioclimatique à 2 m du sol dans les zones de circulation, 2060

de: Geoparquet-Datei - Bioklimatische Überwärmungssituation in den Verkehrsflächen in 2 m über Grund, 2060

fr: Fichier géoparquet - Code d'utilisation de la géométrie de base

de: Geoparquet-Datei - Nutzungscode der Basisgeometrie

fr: Fichier géoparquet - Surchauffe (nuit)

de: Geoparquet-Datei - Überwärmung (Nacht)

fr: Fichier géoparquet - Qualité de séjour (journée)

de: Geoparquet-Datei - Aufenthaltsqualität (Tag)

fr: Fichier géoparquet - Importance bioclimatique (nuit) des espace verts et ouverts

de: Geoparquet-Datei - Bioklimatische Bedeutung (Nacht) der Grün- und Freiflächen

fr: Fichier géoparquet - Dégrés de charge selon l'indice de chaleur urbaine (nuit)

de: Geoparquet-Datei - Belastungsstufen aus dem Urban Heat Index (Nacht)

fr: Fichier GeoTiff optimisé pour le cloud - Grille du bâti (modèle climatique), 2020

de: Cloud-optimierte GeoTiff-Datei - Gebäuderaster (Klimamodell), 2020

format: TIFF

fr: Fichier GeoTiff optimisé pour le cloud - Grille du bâti (modèle climatique), 2060

de: Cloud-optimierte GeoTiff-Datei - Gebäuderaster (Klimamodell), 2060

fr: Fichier géoparquet - Degré de charge thermique physiologique (journée)

de: Geoparquet-Datei - Physiologische Wärme-Belastungsstufe (Tag)

fr: Fichier géoparquet - Zones sans végétation (modèle climatique), 2020

de: Geoparquet-Datei - Vegetationslose Flächen (Klimamodell), 2020

fr: Les CIP proposent une évaluation exhaustive des paramètres climatiques modélisés en vue du traitement de questions de planification. Une distinction est opérée entre la situation diurne et nocturne. Durant la journée, l'évaluation porte sur la qualité de séjour dans les espaces verts et urbains. Cette qualité dépendant surtout du rayonnement solaire, la situation est généralement meilleure dans les zones très arborisées. Durant la nuit, l'évaluation étudie la charge thermique dans les espaces urbains et l'exposition de ces derniers aux courants d'air froid générant une compensation climatique. La zone d'étude couverte par les CIP est subdivisée en espaces urbains soumis à des charges bioclimatiques (zone d'impact) et en espaces non bâtis recouverts de végétation et produisant de l'air froid (zones de compensation). Dans les cas où ces espaces ne se jouxtent pas directement mais que les processus d'échange d'air sont suffisamment marqués, des espaces ouverts linéaires et peu bâtis (couloirs d'air), notamment, peuvent les relier entre eux. Par ailleurs, des vents catabatiques balaient les reliefs bernois. La délimitation entre espaces protégés et défavorisés ainsi que les structures reliant ces espaces reflètent la complexité du système d'échange d'air induisant l'intrication entre zones de compensation et zones d'impact dans le canton de Berne. La CIP donne des indications sur la sensibilité d'un espace aux changements d'affectation ou au développement urbanistique dont découlent les exigences de planification et les mesures d'aménagement du territoire justifiées au plan climatique.

de: Die Planungshinweiskarten (PHK) stellen eine integrierende Bewertung der modellierten Klimaparameter im Hinblick auf planungsrelevante Belange dar. Dabei wird zwischen Tag- und Nachtsituation unterschieden. Am Tage wird die Aufenthaltsqualität in den Grün- und Siedlungsflächen bewertet. Diese wird vor allem über die Sonneneinstrahlung beeinflusst, so dass in Bereichen mit hohem Baumanteil meist auch eine günstige Situation vorliegt. In der Nachtsituation stehen dagegen die Wärmebelastung der Siedlungsflächen sowie die Versorgung mit klimatisch ausgleichenden Kaltluftströmungen im Vordergrund. Ausgangspunkt der PHK ist die Gliederung des Untersuchungsraumes in bioklimatisch belastete Siedlungsräume (Wirkungsraum) einerseits und Kaltluft produzierende, unbebaute und vegetationsgeprägte Flächen andererseits (Ausgleichsräume). Sofern diese Räume nicht unmittelbar aneinandergrenzen und die Luftaustauschprozesse stark genug ausgeprägt sind, können vor allem linear ausgerichtete, gering überbaute Freiflächen (Luftleitbahnen) beide miteinander verbinden. Darüber hinaus treten im Kantonsgebiet vor allem flächendeckende Hangabwinde auf. Aus der Abgrenzung von Gunst- und Ungunsträumen sowie der verbindenden Strukturen ergibt sich somit ein komplexes Bild vom Prozesssystem der Luftaustauschströmungen des Ausgleichsraum-Wirkungsraum-Gefüges innerhalb des Kantonsgebietes. Die Planhinweiskarte gibt Auskunft über die Empfindlichkeit gegenüber Nutzungsänderungen bzw. baulichen ENtwicklungen, aus denen sich klimatisch begründete Anforderungen und Massnahmen im Rahmen der räumlichen Planung ableiten lassen.

fr: Amt für Umwelt und Energie

de: Amt für Umwelt und Energie

en: Amt für Umwelt und Energie

it: Amt für Umwelt und Energie

fr: Carte indicative de planification (CIP) relative au modèle climatique cantonal

de: Planungshinweiskarte zum kantonalen Klimamodell (PHK)


regionalgerichte

regi

fr: Régions et villes

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: regionalgerichte

fr: tribunal region cour-administrative

de: gericht region verwaltungsgericht

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: Fichier ZIP avec shapefile, métadonnées et données d'accompagnement

de: ZIP-Datei mit Shapefile, Metadaten und Begleitdaten

fr: Fichier ZIP avec géopackage avec métadonnées

de: ZIP-Datei mit Geopackage mit Metadaten

fr: Fichier géoparquet - Tribunaux régionaux

de: Geoparquet-Datei - Regionalgerichte

fr: Début 2011, les treize arrondissements judiciaires ont été remplacés par quatre tribunaux régionaux. Les quatre régions judiciaires correspondent aux régions administratives: Jura bernois-Seeland (siège à Bienne et agence à Moutier), Berne-Mittelland (siège à Berne), Emmental-Haute-Argovie (siège à Berthoud), Oberland (siège à Thoune). Chacune des quatre régions judiciaires dispose d'un tribunal régional. Le tribunal régional du Jura bernois-Seeland est doté d'une agence dans le Jura bernois (Moutier). La section pénale et la section civile de chaque tribunal régional sont représentées par des surfaces superposées, sauf le tribunal régional d'Emmental-Oberaargau (la section pénale et civile n'y sont pas différenciées). Remplace le géoproduit: Arrondissements judiciaires (ADMGK)

de: Auf Anfang 2011 wurden die dreizehn Gerichtskreise durch vier Regionalgerichte abgelöst. Die vier Gerichtsregionen entsprechen den Verwaltungsregionen: Berner Jura - Seeland (Sitz in Biel und Aussenstelle in Moutier), Gerichtsregion Bern-Mittelland (Sitz in Bern), Emmental-Oberaargau (Sitz in Burgdorf), Oberland (Sitz in Thun). Für jede der vier Gerichtsregionen besteht ein Regionalgericht. Das Regionalgericht Berner Jura-Seeland hat eine Aussenstelle im Berner Jura (Moutier). Pro Regionalgericht wird die Strafabteilung und die Zivilabteilung als übereinander gelegte Polygone dargestellt, mit Ausnahme des Regionalgerichtes Emmental-Oberaargau (keine Unterscheidung von Straf-/Zivilabteilung). Ersetzt das Geoprodukt: Gerichtskreise (ADMGK)

fr: Amt für Geoinformation

de: Amt für Geoinformation

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

de: Amt für Geoinformation des Kantons Bern

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

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

fr: Tribunaux régionaux

de: Regionalgerichte