en:
This dataset contains the results of greenhouse gas emission modeling for the five Swiss Shared Socioeconomic Pathways (SSP-CH) up to the year 2100. Six sector-specific reduced-complexity models were developed specifically for this analysis, enabling the modelling of the SSP-CH storylines. Accordingly, the dataset comprises the outputs of all six models, generated both in the absence of and under the implementation of additional climate policy packages, referred to as Shared Policy Assumptions (SPAs; see related publications).
- Transport model (energy consumption by energy source and transport type/fleet mix)
- Housing model (heating demand and GHG emissions per building category)
- Electricity model (electricity consumption, electricity generation by energy source, installed capacity, district heating)
- Industry model (energy consumption by energy source, subdivided into raw materials/building materials, consumer goods, and processed goods)
- Agriculture model (feed digestion in livestock, manure storage, and nitrogen fertilization)
- Export/Import model (product quantities in import and export, broken down into consumer goods, raw materials/building materials, and processed goods)
- Synthesis model

en: Results of greenhouse gas modelling of the Swiss Shared Socioeconomic Pathways (SSP-CH)

en: qualitative-scenarios greenhousegas-modelling emissions-scenarios socioeconomic-scenarios national-ssp

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: SSP-CH_GHG_electricity_model.xlsx
    Size: 1195377 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/b543e472-b1c0-488c-8a71-ff09be0d140d/download/ssp-ch_ghg_electricity_model.xlsx
    Description: SSP-CH GHG modelling results of Electricity model (electricity consumption, electricity generation by energy source, installed capacity, district heating). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_housing_model.xlsx
    Size: 3051356 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/913c1ae0-418b-4f31-8b51-9ef1e364b3fd/download/ssp-ch_ghg_housing_model.xlsx
    Description: SSP-CH GHG modelling results of Housing model (heating demand and GHG emissions per building category). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_agriculture_model.xlsx
    Size: 624865 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/b8d73680-8159-46ac-98f6-9d97131f5c2e/download/ssp-ch_ghg_agriculture_model.xlsx
    Description: SSP-CH GHG modelling results of Agriculture model (feed digestion in livestock, manure storage, and nitrogen fertilization). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_transport_model.xlsx
    Size: 9070182 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/c147c40f-3431-4847-a954-5a80b6a38cf1/download/ssp-ch_ghg_transport_model.xlsx
    Description: This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_industry_model.xlsx
    Size: 465818 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/3e81b975-33bf-4327-bf18-3ae32f36b21d/download/ssp-ch_ghg_industry_model.xlsx
    Description: SSP-CH GHG modelling results of Industry model (energy consumption by energy source, subdivided into raw materials/building materials, consumer goods, and processed goods). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_Synthesis_model.xlsx
    Size: 386540 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/a1e54990-11c5-43cf-b922-d839925b4078/download/ssp-ch_ghg_synthesis_model.xlsx
    Description: SSP-CH GHG modelling results of Synthesis model. This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_imp_exp_model.xlsx
    Size: 11240735 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/c80f618c-fd87-4c43-920e-77c8081ccd5a/download/ssp-ch_ghg_imp_exp_model.xlsx
    Description: SSP-CH GHG modelling resluts of Export/Import model (product quantities in import and export, broken down into consumer goods, raw materials/building materials, and processed goods). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

en:
Resource Title: SSP-CH_GHG_transport_model.xlsx
    Size: 9070182 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c02b9e4b-32dc-46bb-aa43-9d648665b089/resource/be82872b-5fd7-4498-a4b9-2141dd5eb00f/download/ssp-ch_ghg_transport_model.xlsx
    Description: SSP-CH GHG modelling results of Transport model (energy consumption by energy source and transport type/fleet mix). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Program. The following individuals participated in the compilation of this data: Oberpriller, Q., Schmid, N., Kemmler, A., Gubler, L., Bogler, S., Giger, D., Piegsa, A., Brutsche, A., Kreidelmeyer, S., Vu M. Ph., Black, B., Kirchner, A., Füssler, J.

emissions-scenarios

display_name: emissions-scenarios

greenhousegas-modelling

display_name: greenhousegas-modelling

national-ssp

display_name: national-ssp


$oid: OBSOLETE

en:
Spatio-temporal vegetation models are essential for simulating dynamics and shifts
in species distributions over large areas, particularly under global change. One such
model is the dynamic forest landscape model TreeMig. We have developed a frame-
work that makes the model more user-friendly, improves its functionality, and expands
its possibilities. The framework consists of the improved TreeMig model, the R pack-
age ‘TreeMig-R’ for pre-processing input data, model execution and visualization and a
graphical user interface (GUI) for ease of use. The code of the TreeMig Package and the GUI is stored here.

en: Code of TreeMig Package version 1

en: gui forest-model dynamic-modelling landscape r-package

envidat

approval_status: approved

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.

de: EnviDat: das Umwelt-Datenportal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: ZIP

dynamic-modelling

display_name: dynamic-modelling

forest-model

display_name: forest-model

gui

display_name: gui

landscape

display_name: landscape

r-package

display_name: r-package


en:
We used 1463 observations of early leaf discoloration presence or absence in Switzerland's European beech (*Fagus sylvatica L.*) forests between 2018 and 2023 and interpolated Sentinel-2 vegetation index time series from Koch et al. (2024) to train a support vector classifier of early leaf discoloration. We applied this classifier to the European beech dominated forest area of Switzerland over the same time period to estimate a probability of early leaf discoloration between 0 and 1 (high probability of early leaf discoloration). The maps intentionally exclude legacy effects of drought like crown dieback or mortality which occurred in prior years.
Early leaf discoloration maps are available at the end of every summer month (June, July, August, and September) 2017 to 2023. Additional maps are available every 5-days during the summer months of 2018. Probability of early leaf discoloration at each date is provided as a GeoTIFF file with a scaled value range of 0 to 10,000 such that a probability of 0.9 is represented by a value of 9000 (a high probability of early leaf discoloration). An optimized probability threshold of 0.4 (4000) is recommended for classification into discolored and not discolored pixels. More details on the methods and results can be found in the publication of Bloom et al. (2026).
***These maps represent an interpreted remote sensing product that approximates ground observations of early leaf discoloration across Switzerland's European beech dominated forests.***
Given ongoing efforts to operationalize an early discoloration pipeline, all data is currently available upon reasonable request. An example of the 2018 5-day time series in the Hardwald (Canton Basel-Land) is available for immediate download.

en: Early leaf discoloration maps for Switzerland's European beech forests

en: switzerland forest early-defoliation sentinel-2 drought-2018 european-beech drought early-warning

drought

display_name: drought

early-defoliation

display_name: early-defoliation

early-warning

display_name: early-warning

european-beech

display_name: european-beech

forest

display_name: forest

switzerland

display_name: switzerland


en:
The TreeMig framework allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
Here, case study examples in Switzerland are given that simulate the dynamics and spatial spread of competing tree species in a region in Switzerland, the invasion of a hypothetical invasive tree species, and the control of this species via a management model coupled to TreeMig.  The datasets consist of the installation- and GUI starting-script,  example environmental input data for Switzerland, the simulation environment, and further R-scripts for running the simulations and plotting the simulation results directly from R and for coupling TreeMig to the forest management model.

en: Case study applications demonstrating the use and potential of the TreeMig framework v1

en: treemig forest climate-change species-migration spatial-modelling bioclimatic-variables land-use forest-management r-package example-applications forest-dynamics

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: ExampleApplicationsTreeMig.zip
    Size: 1676301558 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/609e85c8-98d0-4043-be91-48bd32c162ea/download/exampleapplicationstreemig.zip
    Description: 1) Simulation environment TMEnvironmentExampleApplications for the simulation of the case study applications. It contains a) simulation settings (folder C),  b) species parameters (folder P), c) folders S, R and P for the state files and results and plots to be produced, and the binaries of the TreeMig model.
2) Input data for Switzerland in TMInputData (Climate, soil, land cover, DEM)
3) Several R scripts (folder Scripts) to run and plot the simulations directly from R without having to use the graphical user interface.
For learning how to use TreeMig we recommend the starter kit https://www.doi.org/10.16904/envidat.533.

media_type: application/zip

en:
Resource Title: ExampleApplicationsTreeMig.zip
    Size: 1686005000 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/0f59997f-3e90-4b25-9e5b-37b641d9769b/download/exampleapplicationstreemig.zip
    Description: 1) Simulation environment TMEnvironmentExampleApplications for the simulation of the case study applications. It contains a) simulation settings (folder C),  b) species parameters (folder P), c) folders S, R and P for the state files and results and plots to be produced, and the binaries of the TreeMig model.
2) Input data for Switzerland in TMInputData (Climate, soil, land cover, DEM)
3) Several R scripts (folder Scripts) to run and plot the simulations directly from R without having to use the graphical user interface.
For learning how to use TreeMig we recommend the starter kit https://www.doi.org/10.16904/envidat.533.

en:
Resource Title: InstructionsForRunningTheSimulations.pdf
    Size: 68995 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/830a45db-7985-42f6-8864-4961fe5ef5a2/download/instructionsforrunningthesimulations.pdf
    Description: A condensed instruction for running the presented simulations.

format: PDF

media_type: application/pdf

en:
Resource Title: installAndRunTreeMigWrapperAndGUI_std.R
    Size: 553 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/916c8a50-1d57-4e28-97c8-f50b8a9f7bf7/download/installandruntreemigwrapperandgui_std.r
    Description: R-script to install the TreeMig framework and start the graphical user interface

en:
Resource Title: InstructionsForRunningTheSimulations.pdf
    Size: 127302 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/32c74611-c61e-48be-998b-6722bbb697c8/download/instructionsforrunningthesimulations.pdf
    Description: A condensed instruction for running the presented simulations.

en:
Resource Title: readme_descriptioninputdata.pdf
    Size: 263110 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/5abbe67b-ab73-413b-bff8-5cccf5347b1c/download/readme_descriptioninputdata.pdf
    Description:

bioclimatic-variables

display_name: bioclimatic-variables

climate-change

display_name: climate-change

example-applications

display_name: example-applications

forest-dynamics

display_name: forest-dynamics

forest-management

display_name: forest-management

land-use

display_name: land-use

spatial-modelling

display_name: spatial-modelling

species-migration

display_name: species-migration

treemig

display_name: treemig


en:
Regional disturbance predisposition maps for windthrow, bark beetle and snow breakage. The maps are created using spatially explicit data of classified forest structure and site factor parameters. The classified input parameters were weighted according to their effect on windthrow, bark beetle and snow breakage predisposition using an expert-based model. The predisposition raster maps (10 x 10 m) represent the sum of expert-weighted effects on the predisposition and are provided as raw values (sum of the effects on predisposition) and as classified layers.
Classified predisposition maps are encoded as follows:
1: low predisposition (-50% quantile based on raw predisposition values)
2: increased predisposition (50–75% quantile)
3: high predisposition (-75–95% quantile)
4: extreme predisposition (-95% quantile)
Also included are the derived forest structure maps for development stage, dominant stand height, number of stems and canopy cover used for the predisposition mapping, as well as the R scripts and example data to re-create these parameters. Forest structure parameters are based on a data set of individual trees detected using a high-resolution vegetation height model. Further included are ArcPy scripts and example data to re-create the predisposition maps. Running the ArcPy scripts requires a valid ArcGis license including the extensions "SpatialAnalyst", "ImageAnalyst" and "3D".
The example data provided here is assembled from different sources; please check the related publication Bührle et al. (in review) for data sources and further information about the processing, the expert-based model, the forest structure derivation and the predisposition mapping.
Also consider reviewing the related datasets and publications Bast et al. (2025) for more information about canopy layering derivation and individual tree detection (ITD).

en: Regional bark beetle windthrow and snow breakage disturbance predisposition maps

en: predisposition-mapping development-stage itd tree-detection forest-structure windthrow bark-beetle canopy-cover als stand-height snow-breakage stem-number predisposition

en:
Resource Title: 04_forest_structure_maps.zip
    Size: 34068234 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/171b832f-9fd1-40c0-b2d6-f8f137b572e8/resource/cd162993-bc30-46c1-816b-0722c3d83a50/download/04_forest_structure_map.zip
    Description: Maps of development stage, number of stems, dominant stand height and canopy coverage based on single trees detected from a vegetation height model.

en:
Resource Title: 01_predispostion_maps.zip
    Size: 19881001 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/171b832f-9fd1-40c0-b2d6-f8f137b572e8/resource/59df8818-2e56-4794-9152-3652c20fe6fc/download/01_predispostion_maps.zip
    Description: Classified and raw value predisposition maps for bark beetle, windthrow and snow breakage

en:
Resource Title: 02_python_scripts_predisposition_mapping.zip
    Size: 438323 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/171b832f-9fd1-40c0-b2d6-f8f137b572e8/resource/e165fc12-ca86-423f-807a-d7cf1c8535a5/download/02_python_scripts_predisposition_mapping.zip
    Description: ArcPy-Python scripts and demo data to create the bark beetle, windthrow and snow breakage predisposition maps.

en:
Resource Title: 03_rcode_forest_structure.zip
    Size: 103693681 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/171b832f-9fd1-40c0-b2d6-f8f137b572e8/resource/42199442-7c55-48ed-a3a7-04aaf9967da0/download/03_rcode_forest_structure.zip
    Description: R-codes and demo data to derive the forest structure parameters: development stage, number of stems, dominant stand height, and canopy coverage based on single trees detected from a vegetation height model. These parameters are necessary input parameters for predisposition mapping.

als

display_name: als

bark-beetle

display_name: bark-beetle

canopy-cover

display_name: canopy-cover

development-stage

display_name: development-stage

forest-structure

display_name: forest-structure

itd

display_name: itd

predisposition

display_name: predisposition

predisposition-mapping

display_name: predisposition-mapping

snow-breakage

display_name: snow-breakage

stand-height

display_name: stand-height

stem-number

display_name: stem-number

tree-detection

display_name: tree-detection

windthrow

display_name: windthrow


en:
Phenology, growth, NSC and Amax data used for the following paper:
Early-season warming advances autumn senescence in temperate tree saplings in association with early growth dynamics  published in Plant Cell & Environment 2026.

en: Data for the paper: Early-season warming advances autumn senescence in temperate tree saplings in association with early growth dynamics

en: tree-phenology nsc growth leaf-senescence warming-experiment

envidat

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.

envi

en: Environment

en:
Resource Title: Data.zip
    Size: 42598 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/90ccc75b-bc5e-4968-92a2-38d3452341a8/resource/6a336540-7ba5-471e-b452-db20bc540b6a/download/data.zip
    Description: Data used in the paper published in Plant Cell & Environment Vitasse et al. 2026

en:
Resource Title: ReadMe_Data information.docx
    Size: 17668 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/90ccc75b-bc5e-4968-92a2-38d3452341a8/resource/28146b13-81fd-4625-bc7a-6f55ee39796d/download/readme_data-information.docx
    Description:

growth

display_name: growth

leaf-senescence

display_name: leaf-senescence

nsc

display_name: nsc

tree-phenology

display_name: tree-phenology

warming-experiment

display_name: warming-experiment


en:
Richness, site occurrence and abundance data of bees, beetles, birds, hoverflies, net-wingeds, true bugs, snails, spiders, milipides, wasps collected in the city of Zurich using different sampling techniques, and the environmental variables for each sampling site.
Data are provided on request to contact person against bilateral agreement.

en: Ecological properties of urban ecosystems. Biodiversity dataset of Zurich

en: diversity arthropods insects urbanization sdms birds species-abundance-distributions urban-ecology spiders snails species-richness-models

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: Dataset_2_SDM_data.txt
    Size: 65682801 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0e2e7fb0-88ba-4aa4-92ef-079191b4a668/download/dataset_2_sdm_data.txt
    Description: contains the raw data to perform species distribution models, only for common species

format: TXT

media_type: text/plain

en:
Resource Title: Dataset_5_Species_richness_all.txt
    Size: 2453668 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/f3abc8d4-c92e-4a57-aea4-39ba8c93158d/download/dataset_5_species_richness_all.txt
    Description: contains the raw data to perform the species richness models of all species

en:
Resource Title: Dataset_4_Species_richness_rare.txt
    Size: 2275410 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/3bbbc78a-92c3-4832-b51b-61d65346460e/download/dataset_4_species_richness_rare.txt
    Description: contains the raw data to perform the species richness models of the rare species

en:
Resource Title: Dataset_3_Species_richness_hyper.txt
    Size: 1373635 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0ef3b508-b8e7-4404-a7b9-edc51c7f2375/download/dataset_3_species_richness_hyper.txt
    Description: contains the raw data to perform the species richness models of the hypercommon species

en:
Resource Title: Dataset_1_SAD_SOD.txt
    Size: 73482 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/a7a96a85-dc46-4b5f-bcf4-4d91485e3d03/download/dataset_1_sad_sod.txt
    Description: abundance and occurrence data of the 1446 species studied, used to investigate species-abundance distributions and species-occurrence distributions

arthropods

display_name: arthropods

birds

display_name: birds

diversity

display_name: diversity

insects

display_name: insects

sdms

display_name: sdms

snails

display_name: snails

species-abundance-distributions

display_name: species-abundance-distributions

species-richness-models

display_name: species-richness-models

spiders

display_name: spiders

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization


en: This dataset contains R scripts and pre-processed files to reconstruct the analyses made in the technical note submitted to Ecology Letters as a response to Li & He (2026, https://doi.org/10.1111/ele.70326). In short, I show that the claims made by LH26 (variation in tree growth has increased due to global warming, and that the power exponent between growth variance and mean is b=1.4) are questionable. I show that the reported variance increase in ring widths is an artefact caused by division-based detrending. The reported exponent of 1.4 reflects systematic underestimation, not biological reality of a steep variance-mean scaling. The ecological interpretations built on these foundations cannot be considered reliable.

en: No increased tree growth variability due to global warming

en: global-warming climate-change estimation-methods variability tree-rings

en:
Resource Title: Diagnostic plots.zip
    Size: 279812506 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b1e75fa6-f232-45af-a524-d2088ff2757b/resource/e51b22cb-ff0f-40cb-b302-bfc24e2a3a48/download/diagnostic-plots.zip
    Description: Diagnostic plots presented in SM1.

Outlier_plots_negexp contains the outlier screening where the arithmetic mean at the population levels creates much larger values than the robust mean.

varmax_diagnostic_pages contains the outlier screening for running 5-year variance >5.

en:
Resource Title: preprocessed data.zip
    Size: 3199750636 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b1e75fa6-f232-45af-a524-d2088ff2757b/resource/3ada643d-214e-4573-a4d6-3c49736f5e3f/download/preprocessed-data.zip
    Description: pre-processed data produced in the accompanying R scripts.

en:
Resource Title: R scripts.zip
    Size: 24412 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b1e75fa6-f232-45af-a524-d2088ff2757b/resource/15fb0bd5-ad52-4cf3-ad52-3573063232d2/download/r-scripts.zip
    Description: R scripts to reconstruct analyses made in technical note.

mean_variance_ITRDB_SM1: SM1, calculation of running variances, calculation of outliers, diagnostic plots
power_estimate_clean_simulation: Simulation for SM5
fair_power_comparison_persample: power estimation per 50-year period per sample, SM3
fair_power_comparison: population power estimation per 50-year period, SM3
powertest3.1: Simulation to estimate power given the shape of the ITRDB raw ring-width data, SM4
different power exponent estimations: SM4

climate-change

display_name: climate-change

estimation-methods

display_name: estimation-methods

global-warming

display_name: global-warming

tree-rings

display_name: tree-rings

variability

display_name: variability


en:
Jikradia olitoria Say is a Nearctic leafhopper that was recently identified in several European countries. Given its role as the vector of phytoplasmas associated with Grapevine Yellows diseases (GYD) in its native range, its presence in European vineyard agroecosystems could represent an important phytosanitary risk.
Systematic monitoring conducted over two consecutive years (i.e., 2023 and 2024) using chromotropic traps in seven sites allowed to confirm its widespread presence in the southern Alps, both inside vineyards as well as in the nearby forest edge compartment. Moreover, a subset of the collected specimens was analyzed to test potential infection by phytoplasmas associated with Flavescence dorée.

en: First detailed record of Jikradia olitoria (Hemiptera: Cicadellidae) in the Swiss southern Alps and evaluation of its current potential as a vector of 16SrV-phytoplasmas

en: epidemiology nearctic-leafhopper neobiota flavescence-doree grapevine-yellows

envidat

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.

envi

en: Environment

en:
Resource Title: Table1 - Jikradia olitoria total captures
    Size: 21647 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/05806ade-fd08-4bfa-b2bb-a0991dec3377/download/table1.docx
    Description: Jikradia olitoria total captures divided by plot and trap type, mean captures per trap and ratio between the two sampling years. YST/plot = yellow sticky traps installed in each plot, L = landscape YST, V = vineyard YST, N YST = overall number of processed YST throughout the experiment.

en:
Resource Title: Table 3 - Insect vectors of 'Candidatus Phytoplasma vitis' associated to grapevine’s Flavescence dorée in Europe
    Size: 21135 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/7b134d20-6f86-41d1-bca1-3610fdf02b07/download/table-3.docx
    Description: Insect vectors of 'Candidatus Phytoplasma vitis' associated to grapevine’s Flavescence dorée in Europe. Insect species categorized according to their vector competence, i.e., main vector: primary epidemic grapevine-to-grapevine vector; alternative vector: FD phytoplasma acquisition and transmission confirmed in laboratory and supported by data collected in the field and usually involving other plant species; putative vector: only FDp and/or FDp-like genotypes acquisition confirmed, no indication of ability to transmit FDp to receipient plant. Associated plant species involved in alternative FDp cycle do not represent the complete and known range of host plant species for the listed insect species. Only major and epidemic map-type genotypes are listed. For further details on map-type gene and grouping (i.e., FD1, FD2, and FD3) and vectotype related gene VmpA, refer to Malembic-Maher et al. (2020).

en:
Resource Title: Table2 - Jikradia olitoria hatching events
    Size: 15278 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/7bf9a0ee-2111-4144-8f11-f4f35784b74c/download/table2.docx
    Description: Jikradia olitoria hatching events divided by year and wood type. For the hatching experiment, wood was collected from the Giornico site due to the large J. olitoria adult population observed in 2023.

en:
Resource Title: Supplementary_table3 - Hatching events
    Size: 15852 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/588d922d-1acd-4eab-9693-c76d4cf7d9a6/download/supplementary_table3.xlsx
    Description: Hatching events in 2024 and 2025.

format: XLS

en:
Resource Title: Supplementary Figure 2
    Size: 13233029 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/41f7fb05-1fac-4ef1-adc6-7362059d972d/download/figure_s2.tiff
    Description: Jikradia olitoria captures on yellow sticky traps placed in the landscape around the vineyards in the years 2023 and 2024.

format: TIFF

media_type: image/tiff

en:
Resource Title: Supplementary_table2 - Trap captures 2024
    Size: 165550 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/bba02f83-22d2-48d3-8d60-39e03be1cfb6/download/supplementary_table2.xlsx
    Description: Trap captures in 2024.

en:
Resource Title: Supplementary_table1 - Trap captures 2023
    Size: 144783 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/8c89de75-a018-44c1-b913-346b1dbc5356/download/supplementary_table1.xlsx
    Description: Trap captures in 2023.

en:
Resource Title: Supplementary Figure 1
    Size: 13233029 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/0b456ac4-2091-4836-9b36-065b5fa39f55/download/figure_s1.tiff
    Description: Jikradia olitoria captures on yellow sticky traps placed inside the vineyard canopy in the years 2023 and 2024.

epidemiology

display_name: epidemiology

flavescence-doree

display_name: flavescence-doree

grapevine-yellows

display_name: grapevine-yellows

nearctic-leafhopper

display_name: nearctic-leafhopper

neobiota

display_name: neobiota


en: This repository contains plant community data collected at 180 sites across five types of urban green spaces (allotments, gardens, green areas in residential estates, parks, and ruderal sites) in three Swiss cities (Lugano, Geneva, Zurich). There are 12 sites per UGS type and city (i.e., 60 sites per city). Plant communities were sampled in 100 m2 plots, and coverage was recorded using the extended Braun-Blanquet scale. The data is part of the SNF Synergia project PAPPUS.

en: Data on the plant composition in 5 urban green space types and 3 Swiss Cities (project PAPPUS)

en: urban-plants human-preferences origin-status urban-greenspaces ubran-biodiversity

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: Native plant community
    Size: 262862 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3bb645df-e8d4-4887-93c4-d91a24afdea5/resource/ca98f7fd-5e48-4ffc-b5cd-b8a9b6fd4b15/download/community_matrix_native_f.csv
    Description: The dataset contains the native plant communities  sampled in the 180 study sites. Rows are sites and columns are plant species. Cells contain the numerical values of the extended Braun-Blanquet coverage classes (e.g., https://doi.org/10.1658/1100-9233(2007)18[413:HRITMO]2.0.CO;2). Native species are considered as thosw whose natural distribution ranges are within continental Europe, following (https://doi.org/10.1016/j.dib.2021.107243)

Sites IDs are composed by City_UGStype + Values orthogonal gradient + replicate number:

    City: 3 levels, GE = Geneva, ZH= Zurich, LG = Lugano
    UGStype: 5 levels, Al = Allotments, Ga = private gardens, Es = green areas in residential estates, Pa = parks, Ru = ruderal sites.
    Orthogonal gradient: Landscape urbanization class + Local structural diversity class. 4 combinations: HH, HL, LH, LL. H =high, L = Low
    Replicate, numeric. 1-3

format: CSV

media_type: text/csv

en:
Resource Title: Non-native plant community
    Size: 183641 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3bb645df-e8d4-4887-93c4-d91a24afdea5/resource/b0270e86-5580-4b99-8f94-a903178db451/download/community_matrix_nonnative_f.csv
    Description: The dataset contains the non-native plant communities  sampled in the 180 study sites. Rows are sites and columns are plant species. Cells contain the numerical values of the extended Braun-Blanquet coverage classes (e.g., https://doi.org/10.1658/1100-9233(2007)18[413:HRITMO]2.0.CO;2). Native species are considered as those whose natural distribution ranges are outside continental Europe, following (https://doi.org/10.1016/j.dib.2021.107243). They include invasive species and exotics.

Sites IDs are composed by City_UGStype + Values orthogonal gradient + replicate number:

    City: 3 levels, GE = Geneva, ZH= Zurich, LG = Lugano
    UGStype: 5 levels, Al = Allotments, Ga = private gardens, Es = green areas in residential estates, Pa = parks, Ru = ruderal sites.
    Orthogonal gradient: Landscape urbanization class + Local structural diversity class. 4 combinations: HH, HL, LH, LL. H =high, L = Low
    Replicate, numeric. 1-3

en:
Resource Title: Full plant community
    Size: 449744 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3bb645df-e8d4-4887-93c4-d91a24afdea5/resource/70681117-86df-43b9-abf9-870d027eb8af/download/community_matrix.csv
    Description: The dataset contains the full plant communities (including both native and non-native species) sampled in the 180 study sites. Rows are sites and columns are plant species. Cells contain the numerical values of the extended Braun-Blanquet coverage classes (e.g., https://doi.org/10.1658/1100-9233(2007)18[413:HRITMO]2.0.CO;2).

Sites IDs are composed by City_UGStype + Values orthogonal gradient + replicate number:
- City: 3 levels, GE = Geneva, ZH= Zurich, LG = Lugano
- UGStype: 5 levels, Al = Allotments, Ga = private gardens, Es = green areas in residential estates, Pa = parks, Ru = ruderal sites.
- Orthogonal gradient: Landscape urbanization class + Local structural diversity class.  4 combinations: HH, HL, LH, LL.  H =high, L = Low
- Replicate, numeric. 1-3

human-preferences

display_name: human-preferences

origin-status

display_name: origin-status

ubran-biodiversity

display_name: ubran-biodiversity

urban-greenspaces

display_name: urban-greenspaces

urban-plants

display_name: urban-plants


en:
This dataset supports the analysis presented in "From point clouds to forest management: Quantifying the sensitivity of a decision support framework to initialization data using close-range remote sensing" (https://doi.org/10.1016/j.ecoinf.2026.103896). The repository covers two parts of the analysis: (1) data preparation from LiDAR-based forest inventories, and (2) sensitivity analysis of decision support system (DSS) outputs. The intermediate forest simulation (ForClim v4.1) and multi-criteria decision analysis (MCDA) were carried out using an external pipeline described in Blattert et al. (2024), using the R package rforclim (v1.01.001) by Hiltner & Marano (2025). The corresponding model outputs are included here as inputs to the sensitivity analysis, making all analyses in this repository fully reproducible without requiring access to the simulation pipeline. The ForClim model (v4.1) (Marano et al., 2025) is openly available from the ETH Zurich Institute of Terrestrial Ecosystems (https://ites-fe.ethz.ch/openaccess/products/forclim). Climate data were sourced from the publicly available Swiss CH2018 dataset (CH2018 Project Team, 2018). Soil data were sourced from Baltensweiler et al. (2024). For a detailed description of the repository structure, scripts, and data files, see the README file included in this dataset.
 References
Blattert C, Mutterer S, Thrippleton T, Diaci J, Fidej G, Bont LG, Schweier J (2024). Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality. Ecological Indicators, 165, 112154. https://doi.org/10.1016/j.ecolind.2024.112154
Baltensweiler A, Walthert L, Hanewinkel M, Zimmermann S, Nussbaum M (2024). Soil property maps for the Swiss forest. EnviDat. https://doi.org/10.16904/envidat.484
CH2018 Project Team (2018). CH2018 - Climate Scenarios for Switzerland. National Centre for Climate Services, Zurich. https://www.nccs.admin.ch/nccs/en/home/climate-change-and-impacts/swiss-climate-change-scenarios/ch2018---climate-scenarios-for-switzerland.html
Marano, G., Hiltner, U., Meusburger, K., Hands, T., & Bugmann, H. (2025). Predicting drought-induced tree mortality in Swiss beech forests hinges upon predisposing and inciting factors (p. 2025.12.15.694299). bioRxiv. https://doi.org/10.64898/2025.12.15.694299
Hiltner U, Marano G (2025). rforclim: Collection of useful functions to parameterize and run the forest model ForClim. R package version 1.01.001. Available on request from the ETH Zurich Institute of Terrestrial Ecosystems.

en: decision-support forest-model sensitivity-analysis forest-inventory ecosystem-services uncertainty lidar

envidat

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:
Resource Title: README.md
    Size: 4149 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/6b3838ed-8433-492d-8424-2a19ae134b0a/resource/eaa7ed36-52f8-47fc-827c-a54a71292a4a/download/readme.md
    Description:

format: markdown

en:
Resource Title: README.html
    Size: 23631 bytes
    Format: text/html
    URL: https://www.envidat.ch/dataset/6b3838ed-8433-492d-8424-2a19ae134b0a/resource/b331ae91-9d28-4262-9edd-9efeb9f2fc12/download/readme.html
    Description:

format: HTML

media_type: text/html

en:
Resource Title: dss_sensitivity_analysis_envidat.zip
    Size: 20615843021 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.784%2F
    Description:

decision-support

display_name: decision-support

ecosystem-services

display_name: ecosystem-services

forest-inventory

display_name: forest-inventory

forest-model

display_name: forest-model

lidar

display_name: lidar

sensitivity-analysis

display_name: sensitivity-analysis

uncertainty

display_name: uncertainty


en:
Rising temperatures are thawing mountain permafrost, putting infrastructure like buildings, cable cars, and tunnels at risk. While warming air is the main cause, rainfall at high altitudes also plays an important role.
We built a small, portable system to test how active cooling powered by solar panels, can help keep the ground frozen. Experiments showed that rain can sometimes deepen thawing, especially in winter, but in summer under the impact of liquid precipitation it can also briefly refreeze parts of the ground or lead to ground movement.
Outdoor tests over six months showed that a solar-powered cooling system can successfully maintain a stable frozen layer. The results suggest that such systems could help protect infrastructure in mountain regions, though managing rainfall effects is crucial.
The results are described in the publication: Preserving frozen ground with active cooling under seasonal forcing - an experimental study.

en: climate-change prototype solar-energy permafrost precipitation swiss-alps thermal-stabilisation

envi

en: Environment

climate-change

display_name: climate-change

permafrost

display_name: permafrost

precipitation

display_name: precipitation

prototype

display_name: prototype

solar-energy

display_name: solar-energy

swiss-alps

display_name: swiss-alps

thermal-stabilisation

display_name: thermal-stabilisation


en: This dataset contains the responses of an online expert survey on municipal land-use planning regulations governing buildings and open and green spaces across 30 European countries. Using purposive sampling, 73 planning experts – practitioners and academics – rated the priority they assign to thirteen groups of regulations (seven for buildings, six for open and green spaces) and assessed to which extent does each regulation group pursues the objectives of efficiency equity. The survey was administered online between August and December 2023. The dataset is the quantitative companion to the expert-interview dataset on discretion in land-use planning (doi:10.16904/envidat.785).

en: European survey of planning experts on land-use planning regulations

en: equity development-priorities efficiency building-regulation green-spaces

en:
Resource Title: Data_Documentation.pdf
    Size: 212081 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/3676fed8-bc78-46c4-96c7-cea0b89c5630/resource/e75c2dc0-7329-4fcb-9b9a-820b496370d0/download/data_documentation.pdf
    Description: Full documentation of the dataset. Describes the survey design, sampling, the 45 variables, regulation group definitions, license and recommended citation. Read this first.

en:
Resource Title: regulations_survey_data.xlsx
    Size: 27351 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/3676fed8-bc78-46c4-96c7-cea0b89c5630/resource/6a0473de-2866-406a-b233-ece90429c965/download/regulations_survey_data.xlsx
    Description: The survey data in Excel format. 73 respondents from 30 European countries, 45 columns: respondent background, priority ratings of regulation groups and their efficiency and equity ratings. Identical content to the csv file.

en:
Resource Title: regulations_survey_data.csv
    Size: 14643 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3676fed8-bc78-46c4-96c7-cea0b89c5630/resource/95cb0a11-6693-4e5b-b1aa-9065b0912c36/download/regulations_survey_data.csv
    Description: The survey data in plain CSV format. 73 respondents from 30 European countries, 45 columns. Identical content to the xlsx file.

en:
Resource Title: regulations_survey_questionnaire.pdf
    Size: 171694 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/3676fed8-bc78-46c4-96c7-cea0b89c5630/resource/3c99f535-70e6-4586-ae43-84fcd3ad934e/download/regulations_survey_questionnaire.pdf
    Description: The survey questionnaire as administered. Only the questions whose answers appear in the published data file are included.

building-regulation

display_name: building-regulation

development-priorities

display_name: development-priorities

efficiency

display_name: efficiency

equity

display_name: equity

green-spaces

display_name: green-spaces


en: This dataset contains idealized sensitivity simulations performed with the SNOWPACK model to investigate how the timing of summer heat affects ground thermal conditions in alpine permafrost. The simulations demonstrate that late-summer heatwaves lead to greater heat retention in the ground until the following spring than equally warm early-summer events. The dataset supports analyses of the influence of atmospheric heat timing on active-layer heat storage and permafrost thermal evolution.

en: The importance of hot summers and individual heatwaves for permafrost in the Swiss Alps

en: atmospheric-heatwaves subseasonal-variability mountain-permafrost seasonal-variability hot-summer climate-change

envidat

en: EnviDat: the Environmental Data Portal

atmospheric-heatwaves

display_name: atmospheric-heatwaves

hot-summer

display_name: hot-summer

mountain-permafrost

display_name: mountain-permafrost

seasonal-variability

display_name: seasonal-variability

subseasonal-variability

display_name: subseasonal-variability


en:
Data were collected in one-week campaigns every month (from May to September). The protocol slightly changed from 2024 to 2025.
- In 2024, we followed n=2 scaffolds from the following treatments: irrigation-ambient VPD, irrigation-reduced VPD, roof-ambient VPD. We followed diurnals dynamics (every hour) from pre-dawn (~5 a.m.) to late afternoon (~5 p.m.) of leaf gas exchange (CO2 assimilation A, leaf transpiration E, leaf stomatal conductance gs) via a portable photosynthesis system LI-6800 (Li-cor). Ambient light, temperature, and relative humidity conditions were locally measured and set in the cuvette. The measurement was taken after 5 to 15 minutes adaptation. Every hour a branchlet (comprehending 1 and 2 years-old needles) was collected to measure leaf water potential.
- In 2025,  we followed n=3 scaffolds from the following treatments: irrigation-ambient VPD, irrigation-reduced VPD, roof-ambient VPD, control. We measured leaf gas exchange twice a day using ambient temperature and relative humidity and saturated light conditions. We measured leaf water potential at pre-dawn, midday, and late afternoon.

en: Pfynwald VPDrought experiment leaf gas exchange and water potential parameter

en: pinus-sylvestris ecophysiology leaf-gas vpdrought drought irrigation pfynwald water-potential

envidat

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:
Resource Title: pfynwald_vpdrought_gas_waterpotential_2024.zip
    Size: 25966 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/47c173b8-dbc3-481b-9da8-666f0a157a35/resource/f867696c-096d-4592-9248-b08982254b19/download/pfynwald_vpdrought_gas_waterpotential_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_gas_waterpotential_2025.zip
    Size: 110896 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/47c173b8-dbc3-481b-9da8-666f0a157a35/resource/76bad65c-bdc9-4eb5-9765-7e4cce9ffcf2/download/pfynwald_vpdrought_gas_waterpotential_2025.zip
    Description:

drought

display_name: drought

ecophysiology

display_name: ecophysiology

irrigation

display_name: irrigation

leaf-gas

display_name: leaf-gas

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

vpdrought

display_name: vpdrought

water-potential

display_name: water-potential


en:
This data set includes 57 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in hourly or 10-min resolution can be provided on demand.
Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal  .
Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited.
Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments).
Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical models COUP and DeltaSnow) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058.
Further information on the methods and sensors can be found at https://www.wsl.ch/alptal  .
A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes. Further updates of the data set (with data from 2020 to 2022) were uploaded in March 2023, February 2024, March 2025 and January 2026.

en: Longterm hydrological observatory Alptal (central Switzerland)

en: runoff meteorological-data first-order-catchment snow subalpine alptal

envi

en: Environment

en:
Resource Title: Runoff daily mean Alptal 1968-2025 EnviDat updated
    Size: 2474639 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/bb1f67fd-4bd6-46fe-8b0a-e2ba2c076842/download/runoff_daily-mean_alptal_1968-2025_envidat_updated.xlsx
    Description: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2025 (contact: alptal@wsl.ch).

en:
Resource Title: Manual snow measurements Alptal (1968-2022)
    Size: 1040241 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/3fd1e126-25cc-490b-bb90-5fca04dc4ee9/download/snow-measurements-alptal-1969-2022_envidat_updated.xlsx
    Description: Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly.
More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en:
Resource Title: Snow measurements Alptal 1969-2025 EnviDat updated
    Size: 1059062 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/81eb8552-6178-4071-97f5-905416ed9972/download/snow-measurements-alptal-1969-2025_envidat_updated.xlsx
    Description: Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly. More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en:
Resource Title: Daily runoff data from three steep torrents in the Alptal (1968-2022)
    Size: 2380268 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/aae85e10-27fc-48bd-9f4d-f30a65f06b17/download/runoff_daily-mean_alptal_1968-2022_envidat_updated.xlsx
    Description: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2022 (contact: alptal@wsl.ch).

en:
Resource Title: Daily meteorological and snow data (1968-2022) Alptal
    Size: 2296381 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/1207f33e-6efd-467f-8bf0-9e3303d529a7/download/meteorological-data_alptal_1968-2022_envidat_updated.xlsx
    Description: Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipiation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively.
For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation.
Snow depth has been recorded automatically since 2003. Snow water equivalent has been calculated using two numerical models: COUP model (Jansson, 2012) and DeltaSnow model (Winkler et al., 2021)

Jansson, P.-E. (2012). COUP model: model use, calibration, and validation.Transactions of the ASABE, 55(4), 1335–1344.
Winkler, M., et al. (2021): Snow water equivalents exclusively from snow depths and their temporal changes: the Δsnow model, Hydrol. Earth Syst. Sci., 25, 1165-1187, 10.5194/hess-25-1165-861 2021.

en:
Resource Title: Meteorological data Alptal 1968-2025 EnviDat updated
    Size: 2527068 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4de5d4cd-f265-48b9-98a1-290d6f78fb23/resource/92245b92-5f2b-48a0-920d-4406cddc7d15/download/meteorological-data_alptal_1968-2025_envidat_updated.xlsx
    Description: Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipitation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively. For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation. Snow depth has been recorded automatically since 2003. Snow water equivalent has been calculated using two numerical models: COUP model (Jansson, 2012) and DeltaSnow model (Winkler et al., 2021)

Jansson, P.-E. (2012). COUP model: model use, calibration, and validation.Transactions of the ASABE, 55(4), 1335–1344. Winkler, M., et al. (2021): Snow water equivalents exclusively from snow depths and their temporal changes: the Δsnow model, Hydrol. Earth Syst. Sci., 25, 1165-1187, 10.5194/hess-25-1165-861 2021.

alptal

display_name: alptal

first-order-catchment

display_name: first-order-catchment

meteorological-data

display_name: meteorological-data

runoff

display_name: runoff

snow

display_name: snow

subalpine

display_name: subalpine


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.

en: SWE2HS model calibration and validation data

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

envidat

en: EnviDat: the Environmental Data Portal

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent


en: This dataset comprises the interview guides and the corresponding verbatim transcripts of 16 in-depth, semi-structured expert interviews examining how discretion is understood and exercised in land-use planning, across both plan-making and development control. The three jurisdictions — England (5 interviews), Ireland (5) and Switzerland (6) — were selected for their contrasting approaches to pursuing efficiency and equity through planning regulation, as identified in the companion survey of planning experts (doi:10.16904/envidat.735). The interviews were conducted with planning practitioners and academics across two rounds, structured by a six-question first guide and an eight-question second guide. All interviews were digitally recorded, transcribed verbatim, and anonymised prior to deposit.

en: Interviews with experts in Switzerland, England and Ireland on planners' discretion and the pursuit of efficiency and equity objectives

en: planning-culture plan-making land-use-regulations land-use-planning development-control

envidat

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:
Resource Title: Transcript_IRL1.docx
    Size: 37571 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/929065d7-1414-4df5-b5e2-4b00c5ad2606/download/transcript_irl1.docx
    Description: Anonymised transcript of expert interview IRL1 (Ireland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_IRL2.docx
    Size: 40776 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/94968b66-d9c7-4bf8-8f06-e0da0073a1a5/download/transcript_irl2.docx
    Description: Anonymised transcript of expert interview IRL2 (Ireland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_IRL4.docx
    Size: 43674 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/93ceb19e-503e-4db1-b97e-9f5afcefb64a/download/transcript_irl4.docx
    Description: Anonymised transcript of expert interview IRL4 (Ireland, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: participant_index.csv
    Size: 826 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/3e865c5f-fc90-4d82-ad8c-1226ecd5bac0/download/participant_index.csv
    Description: Index of the 16 interviews. One row per participant with anonymised code, country, interview round, question set used and the matching transcript file name.

en:
Resource Title: Transcript_CHE2.docx
    Size: 41585 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/b574de10-10df-42fc-ae7e-1877e905e368/download/transcript_che2.docx
    Description: Anonymised transcript of expert interview CHE2 (Switzerland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_CHE1.docx
    Size: 40940 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/d18f3bc6-c4a3-49b8-94a1-e5f86bbbff9b/download/transcript_che1.docx
    Description: Anonymised transcript of expert interview CHE1 (Switzerland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_ENG2.docx
    Size: 41820 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/388aff06-33d4-48dc-ae18-6f7001b68ac7/download/transcript_eng2.docx
    Description: Anonymised transcript of expert interview ENG2 (England, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_ENG1.docx
    Size: 38543 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/4084679c-7b68-498f-b37b-e1adab1c33bf/download/transcript_eng1.docx
    Description: Anonymised transcript of expert interview ENG1 (England, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_ENG3.docx
    Size: 41134 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/7b4b111f-6754-482a-a4bd-f0bdc21a3cf3/download/transcript_eng3.docx
    Description: Anonymised transcript of expert interview ENG3 (England, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_CHE5.docx
    Size: 47698 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/d804f9ea-74c3-49d4-890d-a22d35eba18e/download/transcript_che5.docx
    Description: Anonymised transcript of expert interview CHE5 (Switzerland, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_CHE3.docx
    Size: 38523 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/9a629acc-5185-41c3-be04-6bdeaca79815/download/transcript_che3.docx
    Description: Anonymised transcript of expert interview CHE3 (Switzerland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_ENG5.docx
    Size: 41923 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/4149ed2d-63be-4f83-a7be-49a61bcc1ffd/download/transcript_eng5.docx
    Description: Anonymised transcript of expert interview ENG5 (England, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_CHE6.docx
    Size: 37868 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/544f2aae-45e9-4614-89ec-3b9be1641c94/download/transcript_che6.docx
    Description: Anonymised transcript of expert interview CHE6 (Switzerland, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_IRL3.docx
    Size: 45640 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/ac5ba07c-b953-4925-9367-ed05e110b84a/download/transcript_irl3.docx
    Description: Anonymised transcript of expert interview IRL3 (Ireland, round 1, questions Q1-6). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_IRL5.docx
    Size: 42680 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/4958f672-49fc-4f07-9614-d219a894cf28/download/transcript_irl5.docx
    Description: Anonymised transcript of expert interview IRL5 (Ireland, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Data_Documentation.pdf
    Size: 99389 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/40211321-bf12-41e4-9593-34f37ee833fa/download/data_documentation.pdf
    Description: Full documentation of the dataset. Describes the study design, participant recruitment, the two interview rounds, the anonymisation procedure, known limitations, license and recommended citation. Read this first.

en:
Resource Title: Interview_guide.pdf
    Size: 119081 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/6e8bea59-8dc5-4348-8b63-0267942ab8ae/download/interview_guide.pdf
    Description: The semi-structured interview guides for both rounds. Round 1 used questions Q1-6. Round 2 used questions Q1-8. Question numbers match those referenced in the transcripts.

en:
Resource Title: Transcript_ENG4.docx
    Size: 50074 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/f2ab12bb-67d6-4bee-91df-083b5d390dd5/download/transcript_eng4.docx
    Description: Anonymised transcript of expert interview ENG4 (England, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

en:
Resource Title: Transcript_CHE4.docx
    Size: 40376 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cc23353a-5255-4b9c-a73d-aed9e19ec87a/resource/2710ea43-aca9-4e13-ad82-6ba2d02c2a57/download/transcript_che4.docx
    Description: Anonymised transcript of expert interview CHE4 (Switzerland, round 2, questions Q1-8). Names, organisations and self-identifying places are redacted.

development-control

display_name: development-control

land-use-planning

display_name: land-use-planning

land-use-regulations

display_name: land-use-regulations

plan-making

display_name: plan-making

planning-culture

display_name: planning-culture


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 Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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

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

envidat

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: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Forest station data (ISB)
    Size: 10277088 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/6194aad2-dc30-4d91-b772-5fcdf767e8cd/download/isbforest.csv
    Description: Data file.

en:
Resource Title: Site photo of the forest station (ISB)
    Size: 2398813 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/3708a679-f50e-41ab-b747-1373bc8b18d7/download/cib.jpg
    Description: Site photo of the forest station from below (viewing upwards the slope).

format: jpeg

en:
Resource Title: Site aerial photo (Isone)
    Size: 7934755 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/b75f3180-0595-425e-b7d3-900d3d308876/download/isfront.jpg
    Description: Site aerial photo from both Isone stations. Source: Google. 2016. Site aerial photo from both Isone stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en:
Resource Title: Site photo of the field station (ISF)
    Size: 598751 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/8324a18f-3a37-4ab3-b26b-31b8060e863b/download/isf.jpg
    Description: Site photo of the field station from the side.

en:
Resource Title: Field station data (ISF)
    Size: 10395232 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/a90d31c4-4c29-41a0-86b0-81e4491ba5aa/download/isffield.csv
    Description: Data file.

en:
Resource Title: Data plot of the field station (ISF)
    Size: 305632 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/f8cd0686-ca24-4c33-ba21-b2e92f88e7a8/download/isfplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Data plot of the forest station (ISB)
    Size: 267085 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b48da3b5-35c1-4aba-beba-cc1f925d9c86/resource/033d3da4-44f8-4d89-8171-0d15f67e1952/download/isbplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

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: With this study, our aim was to estimate the nutrient fluxes relevant for assessing nutrient sustainability as accurately as possible and to calculate nutrient balances for alternative forest management scenarios. Furthermore, we tested whether mapping units from existing geologic maps can serve as a basis for forest practitioners to estimate nutrient sustainability or whether more detailed data is needed. Positive fluxes include deposition and weathering, while negative fluxes include losses due to leaching and nutrient removal through timber harvesting in the balance. Weathering and leachate losses were modeled with a geochemical model. The SwissStandSim model was used to simulate the biomass growth under different harvesting and silvicultural strategies, allowing sustainability to be assessed for each nutrient at a given intensity of use. This assessment was made per rotation period of 100 years based on two criteria: i) nutrient supply; and ii) total stocking volume.

en: Nutrient sustainability in beech forests

en: soil mass-balance nutrient beech sustainability

en:
Resource Title: Soil_Properties_TabA2.xlsx
    Size: 50339 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/ba211033-8761-4d53-a1fd-6e741926f3d6/download/soil_properties_taba2.xlsx
    Description:

en:
Resource Title: Nutrient_export_harvesting.xlsx
    Size: 15618 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/3f5aa362-7738-4a1e-8cce-9c0b60f0ef71/download/nutrient_export_harvesting.xlsx
    Description:

en:
Resource Title: Nutrient_tree_compartments.xlsx
    Size: 39892 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/59464da8-a4aa-4adf-86d1-df763223e9c4/download/nutrient_tree_compartments.xlsx
    Description:

en:
Resource Title: Nutrient_mass_balances.xlsx
    Size: 27714 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b938dd05-54ab-4dc0-b7d8-a106567322f4/resource/23bb8222-159c-42b8-8e06-dd14b8469600/download/nutrient_mass_balances.xlsx
    Description:

beech

display_name: beech

mass-balance

display_name: mass-balance

nutrient

display_name: nutrient

soil

display_name: soil

sustainability

display_name: sustainability


en:
This dataset contains the road and plot data used for the geospatial analysis example showcased in "Fostering Open Science at WSL with the EnviDat Environmental Data Portal", a contribution to the 5th Open Source Geospatial Research and Education Symposium (OGRS), 2018.
The example uses Jupyter Notebook to calculate road densities in the neighbourhood of sample plot locations with Python. Road data were extracted from OpenStreetMap, while the point data (sample plots) were generated manually.

en: Dataset for OGRS 2018 publication

en: gis roads density geospatial jupyter buffer

envidat

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:
Resource Title: Strassen_OSM
    Size: 394934 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/5d097dde-387f-4ab9-9e95-aa47c14bae75/download/menzbergzero.zip
    Description: Road data from OSM for the surroundings of Menzberg, Switzerland

en:
Resource Title: Plots
    Size: 1719 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/173de5b0-ae7b-46dc-9b1f-7df640106736/download/plots.zip
    Description: Random plot locations

en:
Resource Title: Road Density Calculation (Python Notebook) online
    Size: 0
    Format: application/x-ipynb+json
    URL: https://nbviewer.jupyter.org/urls/www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/38ba30db-e7cd-45eb-b84e-5d00e1877dd3/download/roaddensitycalculation.ipynb
    Description:

en:
Resource Title: Road Density Calculation (Python Notebook)
    Size: 8643 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/6c16efa5-2c29-468a-916a-4a005b3bff02/resource/38ba30db-e7cd-45eb-b84e-5d00e1877dd3/download/roaddensitycalculation.ipynb
    Description:

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads


en:
Introduction
The ZIP file contains all data and code to replicate the analyses reported in the following paper.
Reber, U., Fischer, M., Ingold, K., Kienast, F., Hersperger, A. M., Grütter, R., & Benz, R. (2022). Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics. *Policy Sciences*. [https://doi.org/10.1007/s11077-022-09456-4](https://doi.org/10.1007/s11077-022-09456-4)
If you use any of the material included in this repository, please refer to the paper. If you use (parts of) the text corpus, please also refer to the sources used for its compilation listed below. The content of the texts may not be changed.
 Data folder
The data folder contains the following files.
* _corpus.parquet_: Text corpus of Swiss policy documents
* _dict_de.csv_: Biodiversity dictionary (German)
* _dict_fr.csv_: Biodiversity dictionary (French)
* _dict_it.csv_: Biodiversity dictionary (Italian)
* _topic_labels.csv_: labels/codes for policy sectors
* _topics.csv_: labels/codes for policy sectors
The corpus and the dictionary were compiled by the authors specifically for this project. The labels/codes for policy sectors are based on the [coding scheme](http://ws-old.parlament.ch/affairs/topics) of the Swiss Parliament.
 Text corpus
The text corpus consists of 439,984 Swiss policy documents in German, French, and Italian from 1999 to 2018. The corpus was compiled from the following source between 2020-10-01 and 2021-01-31.
* Transcripts and parliamentary businesses (e.g. questions, motions, parliamentary initiatives) via the [Web Services (WS)](https://www.parlament.ch/de/%C3%BCber-das-parlament/fakten-und-zahlen/open-data-web-services) provided by the Swiss Parliament
* The official compilation of federal legislation ("Amtliche Sammlung", AS) via [opendata.swiss](https://opendata.swiss/de/dataset/official-compilation-of-federal-legislation-bs-as-1947-2018) provided by the Swiss Federal Archives (SFA)
*  The federal gazette ("Bundesblatt") via [fedlex.admin.ch](https://www.fedlex.admin.ch/de/fga/index)
* Decisions of federal courts via [entscheidsuche.ch (ES)](https://entscheidsuche.ch/)
The corpus is stored in a single data frame to use with R saved as [PARQUET](https://parquet.apache.org/) file (corpus.parquet). The data frame has the following structure.
* _text_id_: Unique identifier for each text (source information as prefix, e.g. "t_")
* _doc_type_: Document type (see coding scheme below)
* _branch_: Government branche (1 legislative, 2 executive, 3 judicative)
* _stage_: Stage of policy process (1 drafting, 2 introduction, 3 interpretation)
* _year_: Year of publication
* _topic_: Policy sector (coding scheme in separate file in data folder)
* _lang_: Language (de, fr, it)
* _text_: Text
The following list contains the coding scheme for the doc_type variable.
* 101: Federal gazette // Draft for public consultation ("Vernehmlassungsverfahren")
* 102: Federal gazette // Explanation of draft for parliament ("Botschaft")
* 103: Federal gazette // Strategy, action plan
* 104: Federal gazette // Federal council decree ("Bundesratsbeschluss")
* 105: Federal gazette // (Simple) Federal decree ("(Einfacher) Bundesbeschluss")
* 106: Federal gazette // General decree ("Allgemeinverfügung")
* 107: Federal gazette // Treaty ("Übereinkommen")
* 108: Federal gazette // Treaty ("Abkommen")
* 109: Federal gazette // Draft for parliament ("Entwurf")
* 110: Federal gazette // Report ("Bericht")
* 111: Federal gazette // Report of parliamentary comission ("Bericht")
* 112: Federal gazette // Report of federal council ("Bericht")
* 201: Parl. businesses // Submitted text
* 202: Parl. businesses // Reason text
* 203: Parl. businesses // Federal council response
* 204: Parl. businesses // Initial situation
* 205: Parl. businesses // Proceedings
* 301: Parl. transcripts // Speech of MP
* 302: Parl. transcripts // Speech of federal council
* 401: Federal legislation // Legal text of the official compilation (law, ordinances, etc.)
* 501: Court decisions // Federal Supreme Court
* 502: Court decisions // Federal Criminal Court
* 503: Court decisions // Federal Administrative Court
 Code folder
The code folder contains all R code for the analyses. The files are numbered chronologically.
* _1_classifier_training.R_: Training of classifiers for classification of policy sectors
* _2_classifier_application.R_: Classification of documents in corpus
* _3_dictionary_application.R_: Biodiversity indexing of documents in corpus
* _4_stm_truncation.R_: Truncation of indexed documents to keep only relevant parts
* _5_stm_translation.R_: Translation of FR and IT documents to DE
* _6_stm_model.R_: Preprocesssing and structural topic model
* _7_plots.R_: Plots and numbers as included in the paper
The code/functions folder contains custom functions used in the scripts, e.g. to support topic model interpretation.
Package versions and setup details are noted in the code files.
 Contact
Please direct any questions to Ueli Reber (ueli.reber@eawag.ch).

en: Replication files for "Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics"

en: environmental--policy switzerland policy-analysis text-corpus bgb biodiversity policy-documents

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

bgb

display_name: bgb

biodiversity

display_name: biodiversity

environmental--policy

display_name: environmental--policy

policy-analysis

display_name: policy-analysis

policy-documents

display_name: policy-documents

switzerland

display_name: switzerland

text-corpus

display_name: text-corpus


en:
This repository hosts the experimental data accompanying our publication, “On the compressive strength of weak snow layers of depth hoar,” featured in the Journal of Glaciology.
-Compressive Strength Data:
Measurements of the compressive strength for 92 artificially grown weak snow samples.
-Microstructural CT Data:
CT-derived microstructural information for each sample, including:
Density
Specific surface area
Connectivity density
Correlation lengths
Anisotropy
-Additional CT Data:
Parent Sample Variability: CT data used to assess the variability of the parent samples.
Temporal Evolution: CT data capturing the evolution within the artificial weak layers.
Reference Data: Information on the reference CT data sourced from the RHOSSA and MOSAiC campaigns.

en: depth-hoar snow snow-mechanics slab-avalanche microstructure strength

en:
Resource Title: ParentSampleVariability.csv
    Size: 1406 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f428c8e6-191b-45d4-8b92-239b5f056338/resource/83b74fbf-3d28-4a2e-b856-92573f39977c/download/parent_sample_variability.csv
    Description: Parent sample variability: Contains the CT data used to estimate the parent sample variability.

en:
Resource Title: TimeSeriesData.csv
    Size: 4202 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f428c8e6-191b-45d4-8b92-239b5f056338/resource/f100da36-5f10-49ba-a38d-140aed84c664/download/timeseriesdata.csv
    Description: Time series data: Contains the CT data of upper slab, weak layer and lower slab used to evaluate the temporal evolution within the artificial samples.

en:
Resource Title: ReferenceDataCT.csv
    Size: 8841 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f428c8e6-191b-45d4-8b92-239b5f056338/resource/e8f6bc95-aff3-437e-a5a2-b04cb020f330/download/ct_references.csv
    Description: CT Reference Data: Contains sample names, positions, evaluated regions and microstructural parameters based on data from the RHOSSA and MOSAiC campaigns.

MOSAiC:
https://mosaic-portal.org/data/open-mcs/vessel/polarstern/sn_microct/sn_microct/exdata/
https://doi.org/10.1594/PANGAEA.952794

RHOSSA:
https://doi.org/10.16904/envidat.151

en:
Resource Title: ExperimentalData.csv
    Size: 5928 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f428c8e6-191b-45d4-8b92-239b5f056338/resource/adb3a453-f03a-44cc-b74b-ff9cb12878ec/download/experimentaldata.csv
    Description: Experimental Data: Contains results of the compression experiments and microstructural parameters.

depth-hoar

display_name: depth-hoar

microstructure

display_name: microstructure

slab-avalanche

display_name: slab-avalanche

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

strength

display_name: strength


snow-drift-station-micro-rain-radar

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

en: Snow Drift Station - Micro Rain Radar

en: raclets precipitation mountain rain snow radar

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

en:
Resource Title: MRR data of period 3
    Size: 340845550 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.113/raclets/Period3.zip
    Description: The dataset contains measurements between March 8 and March 13, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en:
Resource Title: MMR Data Period 1
    Size: 2576980378 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.113/raclets/Period1.zip
    Description: The dataset contains measurements between March 1 and March 5, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en:
Resource Title: MRR data of period 4
    Size: 517071441 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.113/raclets/Period4.zip
    Description: The dataset contains measurements between March 13 and March 22, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en:
Resource Title: Parameter MRR
    Size: 93093 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/898d94a9-7a48-4fdc-9eda-43f536e39285/resource/cc39db24-81eb-4110-8a71-d7b04d5f56e6/download/mrr_parameters.pdf
    Description: The PDF contains additional information on parameters which were set for the certain time periods (time in UTC).

en:
Resource Title: MRR data Period 2
    Size: 720723546 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.113/raclets/Period2.zip
    Description: The dataset contains measurements between March 5 and March 8, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

mountain

display_name: mountain

precipitation

display_name: precipitation

raclets

display_name: raclets

radar

display_name: radar

rain

display_name: rain


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

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

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

envidat

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.

climate-change-impact

display_name: climate-change-impact

discharge

display_name: discharge

hydrology

display_name: hydrology

model

display_name: model

water-temperature

display_name: water-temperature


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

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

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

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: 2015-2016 Avalanche problem types from Crocus
    Size: 2749 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/07bdeaa3-c5c4-4c04-bca2-66a8d84310ab/download/2015-2016_crocus_ava_prob_types.csv
    Description: Avalanche problem types were derived from a snow cover simulation with the model Crocus for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en:
Resource Title: 2015-2016 Avalanche problem types from SNOWPACK
    Size: 2749 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/b76405da-ff97-4720-8a1e-323d6c4b6da9/download/2015-2016_snowpack_ava_prob_types.csv
    Description: Avalanche problem types were derived from a snow cover simulation with the model SNOWAPCK for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en:
Resource Title: 1999-2017 Avalanche problem types from SNOWPACK
    Size: 493 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/fd62a04d-b072-46d9-b860-0415656b3e38/download/wfj_1999-2017_snowpack_avalanche_problem_types.csv
    Description: Avalanche problem types were derived from snow cover simulations with the model SNOWPACK at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are shown in Figure 8 in Reuter et al. (2021).

en:
Resource Title: 2015-2016 Seismic avalanche acitivity catalogue
    Size: 322 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/aee18298-2eea-4876-ba1c-15cd7e69a031/download/2015_16_ava_seismic.csv
    Description: Avalanches were indentified in seismic data recorded by two seismic arrays, one deployed at Wannengrat (2,500 m) and another one deployed in the Dischma valley (2,000 m).
The data cover the period from 01.01.2016 - 30.04.2016 and are presented in Figure 7 in Reuter et al. (2021).

en:
Resource Title: 1999-2017 Avalanche problem types from Crocus
    Size: 507 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/3b8f8b29-2be6-473e-8e33-0b598670531d/download/wfj_1999-2017_crocus_avalanche_problem_types.csv
    Description: Avalanche problem types were derived from snow cover simulations with the model Crocus at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are presented in Figure 8 in Reuter et al. (2021).

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

avalanche-danger

display_name: avalanche-danger

avalanche-problem-type

display_name: avalanche-problem-type

crocus

display_name: crocus

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

weissfluhjoch

display_name: weissfluhjoch