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: the Environmental Data Portal

en:
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    Format: text/markdown
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    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


$oid: OBSOLETE

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

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

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.

format: PDF

media_type: application/pdf

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.

format: XLS

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.

format: CSV

media_type: text/csv

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

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: the Environmental Data Portal

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:

media_type: application/zip

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

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: 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
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    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

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: the Environmental Data Portal

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


en:
This dataset contains measurements from two debris flows recorded in 2024 at the Illgraben debris-flow observatory in Switzerland. The first debris flow was recorded on 15 June 2024 and the second debris flow was recorden on 21 June 2024.
This dataset contains the following reseach data for both:
a) Cummulative rainfall measured at CD1 in the catchment.
b) Radar-based flow height of debris flows measured at CD28.
Abstract
In recent years, the destructive impact of debris flows in alpine regions has become increasingly evident. Surge waves within debris flows increase peak discharge and magnify the hazard potential. Hence, understanding the dynamic complexity of debris flows is crucial to mitigate their risk. In order to capture the dynamic processes involved in the formation and interaction of surge waves, it is necessary to obtain distributed observations in the spatiotemporal domain. In this study, we present near-torrent distributed seismic measurements to monitor the Illgraben channel located in the Swiss Alps. With 33 nodal sensors, we detected and tracked surge waves along a 2-kilometer torrent section across the Illgraben fan, which allowed us to gain valuable new insights into the spatial scales relevant for surge wave formation and their long-distance propagation characteristics. We observed erosion-deposition waves that emerged out of the muddy flow tail and propagated with constant velocity along the torrent, reaching meter-scale flow heights within only 100s of meters of flow distance which significantly impact the hazard potential of debris flows. Our results provide valuable observations of surge waves from their formation to their annihilation. We can differentiate flow regimes based on their seismic signature and track them along the torrent, thus mapping the debris-flow evolution in time and space. The observations elucidate large-scale debris flow dynamics thus improving our understanding of hazard potential and the effectiveness of structural countermeasures.

en: Debris flow observation at Illgraben 2024: Event Data 15 June / 21 June

en: rainfall surge-waves illgraben radar debris-flow

en:
Resource Title: Radar_Illgraben_CD28_2025-06-21
    Size: 86229 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/052465cb-5c81-4ba5-88be-115a96c27dd1/resource/be56122c-15cb-40e0-8df3-ae54a02861f0/download/radar_illgraben_cd28_2025-06-21.csv
    Description: Radar-based flow height measurement of debris flow at CD28 at Illgraben. Flow height is derived relative to pre-event channel-bed elevation. Sensor location: 46.309677N, 7.633304E

en:
Resource Title: Radar_Illgraben_CD28_2025-06-15
    Size: 73728 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/052465cb-5c81-4ba5-88be-115a96c27dd1/resource/fb160833-ebd4-4374-96ff-378473c4cebc/download/radar_illgraben_cd28_2025-06-15.csv
    Description: Radar-based flow height measurement of debris flow at CD28 at Illgraben. Flow height is derived relative to pre-event channel-bed elevation. Sensor location: 46.309677N, 7.633304E

en:
Resource Title: Rainfall_Illgraben_CD1_2025-06-15
    Size: 34923 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/052465cb-5c81-4ba5-88be-115a96c27dd1/resource/26a8197f-a18d-48b7-84fd-ad7453b09781/download/rainfall_illgraben_cd1_2025-06-15.csv
    Description: Cumulative rainfall measured at CD1 in the Illgraben catchment. Sensor location:  46.283287N / 7.619689E

en:
Resource Title: Rainfall_Illgraben_CD1_2025-06-21
    Size: 34812 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/052465cb-5c81-4ba5-88be-115a96c27dd1/resource/f8e3ff62-bdf1-4043-9956-7937c47f2191/download/rainfall_illgraben_cd1_2025-06-21.csv
    Description: Cumulative rainfall measured at CD1 in the Illgraben catchment. Sensor location:  46.283287N / 7.619689E

debris-flow

display_name: debris-flow

illgraben

display_name: illgraben

rainfall

display_name: rainfall

surge-waves

display_name: surge-waves


en:
Sampling of deadwood for density and chemical analysis during summer 2009
 Purpose:
Determination of N and C pools of deadwood
 Paper Citation:
 * WEGGLER, K.; DOBBERTIN, M.; JÜNGLING, E.; KAUFMANN, E.; THÜRIG, E., 2012. Dead wood volume to dead wood carbon: the issue of conversion factors. European Journal of Forest Research 131, 1423-1438.

en: Deadwood sampling at Sanasilva and LWF sites

en: carbon nitrogen long-term-forest-ecosystem-research icp-forests deadwood swiss-forest-lab lignin

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.

carbon

display_name: carbon

deadwood

display_name: deadwood

icp-forests

display_name: icp-forests

lignin

display_name: lignin

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

nitrogen

display_name: nitrogen

swiss-forest-lab

display_name: swiss-forest-lab


en:
The SwissRad10 dataset contains light availability maps at 10 m and hourly resolution across an entire annual cycle with wall-to-wall coverage across the whole of Switzerland.
Areas below and within 25 m of forests include light availability calculated for both leaf-on and leaf-off canopy structure, and terrain only data is available across the full domain.
The variables sky-view factor and direct-beam transmissivity are both included, allowing estimation of both direct and diffuse light at the ground surface.
The dataset was calculated using the detailed synthetic hemispheric image-based ray-tracing Canopy Radiation Model (CanRad) with the latest airborne lidar and terrain surface data from the swissSURFACE3D dataset.

en: SwissRad10 Hourly light availability maps at 10 m resolution over Switzerland

en: radiation-transfer shortwave-radiation sky-view-fraction solar-irradiance solar-energy terrain forests transmissivity light-availability lidar

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

forests

display_name: forests

lidar

display_name: lidar

light-availability

display_name: light-availability

radiation-transfer

display_name: radiation-transfer

shortwave-radiation

display_name: shortwave-radiation

sky-view-fraction

display_name: sky-view-fraction

solar-energy

display_name: solar-energy

solar-irradiance

display_name: solar-irradiance

terrain

display_name: terrain

transmissivity

display_name: transmissivity


latent-heat-flux-over-snow

en:
This dataset contains three case studies where are compared the latent heat flux calculated using the Eddy Covariance (EC) method, the Monin-Obukhov Similarity Theory (MOST) and the modified Bowen-ratio method presented in the research paper "Using the sensible heat flux eddy covariance based exchange coefficient to calculate latent heat from moisture mean gradients overn snow". We include the datasets, the code and the ini files for reproduce the research.
The dataset contain two files in zip format:
  1. Sowftware-Heat_fluxes_on_snow: Jupyter notebooks to reproduce the method and the figures of the paper.
  2. data.zip: Datasets used to compare the methods

en: Latent Heat Flux over Snow

en: central-asia meteo snow meta swiss-alps meteo-station

title_for_slug: latent-heat-flux-over-snow

en:
Resource Title: Sowftware-Heat_fluxes_on_snow
    Size: 3322132 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/da84224e-d225-43fd-8986-7d8069362adc/download/software.zip
    Description: This file includes the Jupyter notebooks to reproduce the method and the figures of the paper. This consists in:
- 3 files for Alpine Valley
- 3 files for Antarctic Plateau
- 1 file for application at Pamir mountains

en:
Resource Title:
    Size: 29787181 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/7ab59fe6-dc0b-4dfc-b5c1-e8c3287cb54e/download/data.zip
    Description: This file includes the datasets used to compare the methods. It includes:
- EC Postprocessed heat flux data from sonic anemometer and gas analyzer. Files named: [SITE]_(NO)WatVap_eddypro_OUT_[type].csv
- MOST Postprocessed data from SNOWPACK model. Files named [SITE]_[year]_[METHOD].smet
- Configuration files for SNOWPACK (.ini files) and Eddypro (.eddypro files)

[SITE] correspond to DISHMA/DISH or Alpine Valley, PLATEAU/PLAT for Antarctic Plateau, TAJ for Pamir mountains (no EC)
[type] correspond to fluxnet, full_output or qc_details
[METHOD] indicates the stability model used and/or the roughness length

central-asia

display_name: central-asia

meta

display_name: meta

meteo

display_name: meteo

meteo-station

display_name: meteo-station

snow

display_name: snow

swiss-alps

display_name: swiss-alps


en:
The dataset comprises - 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.
 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.
 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..
 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.
 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

en: Calibration data for empirical mortality models of 18 European tree species

en: inventory-data tree-mortality empirical-mortality-models tree-growth forest-reserves

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality


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

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

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

en:
Resource Title: Data plot of the forest station (VSB)
    Size: 247534 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/01884c67-ce28-43c6-bb28-2273bc209984/download/vsbplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site photo of the field station (VSF)
    Size: 290437 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/ffa4b66e-9bd8-4450-8b0f-ab95d9890a14/download/vsf.jpg
    Description: Site photo of the field station from the side.

en:
Resource Title: Field station data (VSF)
    Size: 11151716 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/33d10844-3617-4d9c-9a37-eac388944a2a/download/vsffield.csv
    Description: Data file.

en:
Resource Title: Forest station data (VSB)
    Size: 11199238 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/17827e52-bcfd-4d66-bbed-0612fa876d96/download/vsbforest.csv
    Description: Data file.

en:
Resource Title: Site aerial photo (Visp)
    Size: 6578845 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/dfa7be2c-fc31-439e-8dbd-d9f3cdc2a36f/download/vsfront.jpg
    Description: Site aerial photo from both Visp stations. Source: Google. 2016. Site aerial photo from both Visp stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en:
Resource Title: Site photo of the forest station (VSB)
    Size: 459930 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/f1e8ddf0-6f6d-486a-ad7e-b3557c9c75e9/download/vsb.jpg
    Description: Site photo of the forest station from below (viewing upwards the slope).

en:
Resource Title: Data plot of the field station (VSF)
    Size: 331604 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/213b7b1b-f8a8-4cef-ae22-8b2db10f2655/resource/caf2c93f-e4c0-4986-be18-af8e5e1e50aa/download/vsfplot.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

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:
This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model and according to the Agricultural Futures Framework (AFF) scenarios.
Three scenarios are included:
- Land for Food and Land for Nature (LFLN)
- Land as Culture (LaC)
- Land for Society (LfS)

en: AFF agricultural land change scenarios in Europe 2015-2050

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

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: ReadMe.pdf
    Size: 87640 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/15ae8f00-310e-4cee-95ed-d00f0aa25dbe/resource/573e45b3-27b1-4139-b61b-06c3adc8871e/download/readme.pdf
    Description:

en:
Resource Title: AFF_agricultural land_change scenarios_Europe_2015_2050.zip
    Size: 3851250 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/15ae8f00-310e-4cee-95ed-d00f0aa25dbe/resource/a8d3393e-178f-43a7-9538-1437b0afd8b3/download/aff_agricultural-land_change-scenarios_europe-2015_2050.zip
    Description: This dataset contains the spatial layers showing future land change pathways in Europe between 2015 and 2050, as simulated by the CLUMondo model according to the Agricultural Futures Framework (AFF) scenarios.

agriculture

display_name: agriculture

land-change

display_name: land-change

land-use-modelling

display_name: land-use-modelling

pathways

display_name: pathways

scenarios

display_name: scenarios


en:
Hourly Alpine photovoltaic (PV) potential profiles for Switzerland, covering the year 2016 and spatially aggregated to two levels: Swiss alpine municipalities and the nodes of the Swiss electricity transmission grid. Six scenarios combine land suitability mask, terrain restrictions (elevation, slope, aspect), road accessibility, hazard zones, and either an elevation range or a pixel-level winter specific yield filter, providing per-pixel installed capacity and aggregated hourly generation profiles for ~713 alpine communes and ~126 transmission grid nodes.
 What is in this dataset
- **Hourly generation profiles** (`energy_yield`, in Wh) for each aggregation unit
- **Installed capacity** (`installed_capacity_mwp`, in MWp) and **pixel count** (`pixel_count`) per unit
- **Seasonal sums** (`annual_gwh`, `winter_gwh`, `summer_gwh`, in GWh) per unit
- **Polygon geometries** (`geometry`, WKT in EPSG:2056) for each aggregation unit, embedded directly in the NetCDF
- **Global attributes** recording scenario name, panel tilt, GCR method, POA mode, and PV system parameters
 Six scenarios
Scenarios vary the site-selection approach (elevation range vs. pixel-level winter specific yield threshold) and the maximum slope:
- **1.** — slope ≤ 40°, elevation 1900–3300 m, aspect 90–270° on steep slopes, no winter-yield filter
- **2.** — slope ≤ 40°, elevation 1500–4400 m, aspect 90–270° on steep slopes, no winter-yield filter
- **3.** — slope ≤ 30°, elevation 1900–3300 m, aspect 90–270° on steep slopes, no winter-yield filter
- **4.** — slope ≤ 30°, elevation 1500–4400 m, aspect 90–270° on steep slopes, no winter-yield filter
- **5.** — slope ≤ 40°, elevation 100–4400 m, all aspects, winter specific yield ≥ 500 kWh/kWp
- **6.** — slope ≤ 30°, elevation 100–4400 m, all aspects, winter specific yield ≥ 500 kWh/kWp
Scenarios 1-4 use a conventional elevation range together with an aspect restriction (north-facing pixels excluded on slopes - 10 deg). Scenarios 5-6 apply a pixel-level winter specific yield threshold instead.
 Methodology
A pre-computed binary exclusion raster from the [Swiss SolarWind Explorer](https://swiss-solarwind-explorer.ethz.ch/) (Reusser et al., 2025) serves as the base land suitability mask, integrating land-cover, protected-area, and biodiversity exclusions developed through extensive consultation with governmental, expert, and biodiversity stakeholders. On top of this base mask, the pipeline clips to alpine communes, removes natural hazards (level -= 2), applies a 5 km effective road distance filter (with vertical penalty), and applies scenario-specific terrain restrictions.
For each qualifying 25 m pixel, the ground-cover ratio is computed using the Bao et al. (2022) parametrization with a 60 deg panel tilt, and the hourly yield is derived from the [CH-POA300](https://www.doi.org/10.16904/envidat.632) plane-of-array irradiance dataset (300 m resolution, 5 azimuth bins). A simplified PV system model is applied (module efficiency 20%, performance ratio 0.8, bifacial factor 1.2, inter-row shading loss 10%). For scenarios with the winter yield filter, only pixels whose simulated October--March specific yield exceeds 500 kWh/kWp are retained.
 Two aggregation levels
- **commune** — Swiss alpine municipality; 713 units; source swissBOUNDARIES3D; CRS EPSG:2056
- **node** — Transmission grid Voronoi node; 126 units; source [CH-RPV300 (grid_voronoi_v2)](https://www.doi.org/10.16904/envidat.733); CRS EPSG:2056
 File format
NetCDF-4 files, one per scenario and aggregation level (12 files total). Each file is self-contained: the hourly profiles, installed capacity, seasonal sums, polygon geometries, and scenario parameters are all embedded in the NetCDF. See `data_description_v*.md` included in the dataset for the full data model, coordinate definitions, and usage examples.

en: CH-ALPV300: Hourly Alpine-PV  Potential Profiles in Switzerland

en: alps photovoltaic snow renewable-energy alpine-pv

en:
Resource Title: data_description_v1.md
    Size: 12104 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/4dc40d28-c071-4463-8030-1a1661b02869/download/data_description_v1.md
    Description:

en:
Resource Title: specs_v1.pdf
    Size: 10108273 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/216f0204-0ac5-4510-8087-e6dfc7669078/download/specs_v1.pdf
    Description: Specifications, version 1

en:
Resource Title: profiles_2016_v1.zip
    Size: 112449290 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/ecbc2326-e274-4734-9150-c394c0213a50/download/profiles_2016_v1.zip
    Description: Profiles 2016, version 1

alpine-pv

display_name: alpine-pv

alps

display_name: alps

photovoltaic

display_name: photovoltaic

renewable-energy

display_name: renewable-energy

snow

display_name: snow


en:
*Currently, this dataset is intended solely for article review purposes and may not be used for any other purposes.*
This dataset consists of a series of full snow profiles collected at the field site of Weissfluhjoch, Davos, Switzerland over the two snow seasons of 2022-2023 and 2023-2024. This series of snow profiles was collected with a high vertical and temporal resolution, with a specific focus on the melting seasons, during which up to 3 snow profiles per week were sampled. This dataset is part of the measurement campaign carried out within the SnowTinel project, whose aim is to explore the Sentinel-1 SAR backscattering response to melting Alpine snowpacks. Therefore, this dataset contains manual measurements of the main properties of snow which are responsible for scattering, i.e. temperature, density, specific surface area (SSA), liquid water content (LWC), surface roughness and snow water equivalent (SWE).
The dataset is composed of a total of 85 snow profiles, 38 carried out in 2022-2023 and 47 in 2023-2024.
  - Profiles of snow **temperature** were sampled at a vertical resolution of 10 cm (2022-2023) and 5 cm (2023-2024) using HI98501 Checktemp from Hanna Instruments;
   - Profiles of snow **density** were sampled at a vertical resolution of 3 cm using a box density cutter and a digital scale;
   - Profiles of snow **specific surface area** were sampled at a vertical resolution of 4 cm using the InfraSnow sensor from FPGA;
   - Profiles of snow **liquid water content** were sampled at a vertical resolution of 2 cm using the Denothmeter (2022-2023) and the New Capacitive Sensor from FPGA (2023-2024). In conditions of ripe snow, dielectric measurements were backed up by melting calorimetry measurements following a recently revised field protocol;
   - Snow **surface roughness** is expressed by the Root Mean Square of the Heights (RMSH) and the correlation length (CL), both computed from a digitized snow transect obtained by a digital photograph of a panel vertically inserted into the snow.
- **Snow water equivalent** was sampled in sections from the surface to the bottom of the snowpack with a cylinder cutter.

Additionally, **runoff** was automatically measured in the close proximity to the measurement field at a sub-hourly resolution by a lysimeter. The instrument was unfortunately discovered to be clogged at the start of the runoff in 2023 and only repaired in late May 2023. Therefore, the time series is not explanatory for the runoff start in 2023. The instrument was inspected timely and assessed as fully functional for the following snow season. The manually measured values of **SWE** are complemented by an automatically recorded time series at sub-hourly time intervals with a SSG1000 snow scale manufactured by Sommer Messtechnik, Austria.

 ---

- References:
  - HI98501 Checktemp: [https://www.hannainstruments.co.uk/modules/teapotknowledgehub/uploads/ist98501_06_18-60d496ca2cd31.pdf](https://www.hannainstruments.co.uk/modules/teapotknowledgehub/uploads/ist98501_06_18-60d496ca2cd31.pdf)
  - InfraSnow sensor: Wolfsperger, Fabian & Ziegler, Silvio & Schneebeli, Martin & Löwe, Henning. (2022). Evaluation of the InfraSnow: a handheld device to measure snow specific surface (SSA). 10.13140/RG.2.2.31566.95047; [https://snow-sen.com/infrasnow-ssa-sensor-2/](https://snow-sen.com/infrasnow-ssa-sensor-2/)
  - Denothmeter: Denoth, A. “An Electronic Device for Long-Term Snow Wetness Recording.” Annals of Glaciology 19 (1994): 104–6. [https://doi.org/10.3189/S0260305500011058](https://doi.org/10.3189/S0260305500011058)
  - New Capacitive Sensor: Wolfsperger, Fabian & Geisser, Michel & Ziegler, Silvio & Löwe, Henning. (2023). A NEW HANDHELD CAPACITIVE SENSOR TO MEASURE SNOW DENSITY AND LIQUID WATER CONTENT; [https://snow-sen.com/slf-snowpro-40/](https://snow-sen.com/slf-snowpro-40/)
  - Melting calorimetry: Barella, R., Bavay, M., Carletti, F., Ciapponi, N., Premier, V., and Marin, C.: Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow, The Cryosphere, 18, 5323–5345, [https://doi.org/10.5194/tc-18-5323-2024](https://doi.org/10.5194/tc-18-5323-2024), 2024.
  - Surface roughness: B. Riccardo, C. Marin, M. Callegari, M. Gianinetto, T. Moranduzzo and C. Notarnicola, "A Low-Cost Portable Automatic System for Snow Surface Roughness Measurements Based on Digital Photography," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 5562-5565, doi: [https://doi.org/10.1109/IGARSS47720.2021.9553989](https://doi.org/10.1109/IGARSS47720.2021.9553989).
  - SSG: [https://www.sommer.at/de/produkte/schnee-eis/schneewaage-ssg-2](https://www.sommer.at/de/produkte/schnee-eis/schneewaage-ssg-2)

en: SnowTinel high-temporal-resolution ground truth dataset for SAR remote sensing of snow

en: snow-density snow-profiles wet-snow snow-lwc surface-roughness satellite snow-roughness sentinel-1 radar snow-temperature snow-melt snow-ssa

en:
Resource Title: ssg1000_data_2022_2024.smet
    Size: 3369857 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/aaf9b5e2-1621-4d29-a37f-8df71f673e35/download/ssg1000_data_2022_2024.smet
    Description: Snow water equivalent time series automatically recorded from the snow scale (2022-2024).

format: OCTET

en:
Resource Title: README.txt
    Size: 9428 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/cf3ee004-243a-48de-92a3-14e46a8f25d4/download/readme.txt
    Description: General metadata and detailed data description.

format: TXT

media_type: text/plain

en:
Resource Title: snowtinel_profiles_2022_2023.csv
    Size: 937388 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/43461178-b0b2-4c9b-895e-8398b986f552/download/snowtinel_profiles_2022_2023.csv
    Description: Snow profiles collected on the snow season 2022-2023.

en:
Resource Title: snowtinel_swe_2023_2024.csv
    Size: 624 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/40dcf569-8e0b-4496-a556-79259095bf34/download/snowtinel_swe_2023_2024.csv
    Description: Manually measured time series of snow water equivalent (2023-2024).

en:
Resource Title: snowtinel_profiles_2023_2024.csv
    Size: 1435676 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/6c8939cc-2947-43c4-b0d5-9750e3bd00ab/download/snowtinel_profiles_2023_2024.csv
    Description: Snow profiles collected on the snow season 2023-2024.

en:
Resource Title: lysimeter_data_2022_2024.smet
    Size: 3369865 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/84b800f0-f5df-48ca-9474-005e952118de/download/lysimeter_data_2022_2024.smet
    Description: Runoff time series automatically recorded from the lysimeter (2022-2024).

en:
Resource Title: snowtinel_surface_roughness_2023_2024.csv
    Size: 10407 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/95e1f75e-f4a1-448b-b8a1-418b3872e2a4/download/snowtinel_surface_roughness_2023_2024.csv
    Description: Manually measured time series of surface roughness (2023-2024).

en:
Resource Title: snowtinel_swe_2022_2023.csv
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    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/41520f26-a39e-40b9-b966-cc2ffec6f95d/download/snowtinel_swe_2022_2023.csv
    Description: Manually measured time series of snow water equivalent (2022-2023).

en:
Resource Title: snowtinel_surface_roughness_2022_2023.csv
    Size: 8331 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/dd565b06-d9bd-4774-b140-5bb0dcdb70f5/resource/73fa5ef7-87f6-4d3b-80c1-735434645659/download/snowtinel_surface_roughness_2022_2023.csv
    Description: Manually measured time series of surface roughness (2022-2023).

radar

display_name: radar

satellite

display_name: satellite

snow-density

display_name: snow-density

snow-lwc

display_name: snow-lwc

snow-melt

display_name: snow-melt

snow-profiles

display_name: snow-profiles

snow-roughness

display_name: snow-roughness

snow-ssa

display_name: snow-ssa

snow-temperature

display_name: snow-temperature

surface-roughness

display_name: surface-roughness

wet-snow

display_name: wet-snow


en:
The files correspond to the data and R-script used for the analyses of the following paper "Feasting on the ordinary or starving for the exceptional: phenological synchrony between spongy moth and budburst of European trees in a warmer climate" published in Ecology and Evolution by Vitasse et al. 2023.
There are three zip files corresponding to the Temperature data, phenology/preference/performance tests and R-Scripts for the analyses.
Input data:
'Synchrony_Cuttings_Pheno.txt':

en: Synchrony between spongy moth hatching and leaf phenology of temperate trees

en: chilling phenology spongy-month hatch budburst

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: Temperature data Spongy moth experiment
    Size: 84293 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/3891fb6e-eb1d-4835-80bf-e8ae0c85164c/download/temperature.zip
    Description: 4 files with hourly temperature recorded at the height of buds in each of the four temperature treatments:
- Winter6: greenhouse where temperature was kept >6°C over winter
- Winter10: greenhouse where temperature was kept >10°C over winter
- OTC_Ambient: Open Top Chamber at Ambient temperature
- OTC_Warm: Open Top Chamber at +3.5°C warmer temperature

en:
Resource Title:
    Size: 19723 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/6680e96d-e720-4e07-b844-ba19e2de693e/download/r-scripts.zip
    Description: 3 R-Scripts used for the analyses of the temperature, phenology and performance/preference tests

en:
Resource Title: Phenology and performance/preference tests Data
    Size: 7058 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/464b7325-15da-49ed-8e50-9c1be08a3d20/download/phenology_performance_preference-tests_data.zip
    Description: -"Synchronex_Cuttings_Pheno.txt" provides the budburst date ('Stage 2') of each twig of the six studies species in the four different temperature treatments ("ambient", "a+5"=Ambient +5°C, 'Greenhouse-5'= Greenhouse at temperature >5°C, 'Greenhouse_10' = Greenhouse at temperature >10°C); 'Success' give the percentage of buds within the twig that succeeded to reach at least stage 2 during the experiment.

'Synchronex-Gypsy.txt' provides the number of eggs that have hatched at each monitoring date (Day of the year in columns); "DOY_hatch_1" corresponds to the first DOY when at least one egg has hatched; "Replicate_egg_mass" correspond to the egg mass replicate (1 to 5)

'PerformanceTest_GypsyMoth.txt' provides the biomass in mg of the caterpillars fed with fresh leaves of each tested tree species during one week. "Fresh_alive" is the biomass of only the living caterpillars after 1 week and "Freshpermoth" corresponds the weight per living caterpillar (Fresh alive/Nalive)

'PreferenceTest_All_species.txt' provides the total surface of leaf disc of each tested tree species remaining after exposing 5 caterpillars to these leaves during 24H. "Total_area" is the surface of the disc of each species measured after 24h exposed to the spongy moth first instars. For each species 'control' means the surface of the disc after 24H without any exposure to the larvae. 'EatenPercent correspond to the percentage surface loss compared to the control.

budburst

display_name: budburst

chilling

display_name: chilling

hatch

display_name: hatch

phenology

display_name: phenology

spongy-month

display_name: spongy-month


en:
Carabid beetle and wild bee occurrences in the city of Zurich, Switzerland.
Dataset available upon request (An agreement between the data provider and the data recipient is necessary).

en: The origin of urban communities: from the regional species pool to community assemblages in city

en: species trait environmental-heterogeneity allotments bettergarden composition gardens ground-beetle allotment niche diversity species-composition functional-traits ecology niche-breadth functional-diversity ground-beetles functional urban-ecology community-assembly bettergardens wild-bees urbanization garden wild-bee

en:
Resource Title: Urban carabid and bee species city of Zurich Switzerland
    Size: 12151612 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/33eb0e1a-fa8b-4b57-8db9-7a929feda811/resource/0d32e239-6d49-4d69-a1fd-81a3cd854591/download/fido_global_extract-2019-10-30_13-31-00-urban-carabidae-apidae.txt
    Description: Carabid beetle and wild bee occurrences in the city of Zurich, Switzerland, from the years (project) 2009 (BiodiverCity), 2011 (ENHANCE) and 2016 (BetterGardens).

en:
Resource Title: Arthropod-databank query used to access data.
    Size: 7751 bytes
    Format: application/sql
    URL: https://www.envidat.ch/dataset/33eb0e1a-fa8b-4b57-8db9-7a929feda811/resource/040d9b89-6455-4af9-8092-47e4fdd487d8/download/fido_global_extract-2019-10-30_13-31-00-urban-carabidae-apidae.sql
    Description:

format: sql

allotment

display_name: allotment

allotments

display_name: allotments

bettergarden

display_name: bettergarden

bettergardens

display_name: bettergardens

community-assembly

display_name: community-assembly

composition

display_name: composition

diversity

display_name: diversity

ecology

display_name: ecology

environmental-heterogeneity

display_name: environmental-heterogeneity

functional

display_name: functional

functional-diversity

display_name: functional-diversity

functional-traits

display_name: functional-traits

garden

display_name: garden

gardens

display_name: gardens

ground-beetle

display_name: ground-beetle

ground-beetles

display_name: ground-beetles

niche

display_name: niche

niche-breadth

display_name: niche-breadth

species

display_name: species

species-composition

display_name: species-composition

trait

display_name: trait

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wild-bee

display_name: wild-bee

wild-bees

display_name: wild-bees