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


$oid: OBSOLETE

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

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

en: EnviDat: the Environmental Data Portal

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: HTML

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

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

format: ZIP

media_type: application/zip

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

format: CSV

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.

format: PDF

media_type: application/pdf

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.

format: jpeg

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.

media_type: text/csv

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:

format: markdown

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
    Size: 592 bytes
    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


snow-drift-station-flowcapt

en: The FlowCapt is an ultra-robust instrument measuring solid particle acoustic mass - flux intensities (g m&8254; &178; s&8254; &185;) and wind speeds (m s&8254; &185;). It was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849). The vertical tube with a length of 1 m monitors snowdrift and snow-blowing; and is mounted at a height between 0.1 an 1.1 m above snow surface. The time within each data set is given in UTC+1.

en: Snow Drift Station - Flowcapt

en: acoustic-mass-flux snow-blowing snowdrift raclets flowcapt wind-speed

title_for_slug: snow-drift-station-flowcapt

en:
Resource Title: minimum mass flux
    Size: 69211 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/286c7415-907c-4f97-a9e2-6b9659f023dc/download/flowcapt_massflux_min.xlsx
    Description: The data file contains the minimum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

format: XLS

en:
Resource Title: avergaged mass flux
    Size: 71943 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/923d9c5c-7bbd-4e31-8ff8-11feb1e86498/download/flowcapt_massflux_avg.xlsx
    Description: Average mass flux of 10 min measurement interval. The Cycle duration is 1 min which includes 6 s observation and 54 s stand-by. The time is given in UTC+1.

en:
Resource Title: maximum wind speed
    Size: 74090 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/d8324ec0-7d85-49e1-8978-ea460ca92386/download/flowcapt_windspeed_max.xlsx
    Description: The data file contains the maximum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6 s observations and 54 s stand-by. The time is given in UTC+1.

en:
Resource Title: average wind speed
    Size: 73245 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/41378f42-ff53-4961-aa5e-58aa7a9ef771/download/flowcapt_windspeed_avg.xlsx
    Description: The data file contains the average wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en:
Resource Title: maximum mass flux
    Size: 73039 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/760227b7-3ef2-4164-bae3-bc59652d28e8/download/flowcapt_massflux_max.xlsx
    Description: The data file contains the maximum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en:
Resource Title: minimum wind spees
    Size: 68651 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/89e6e1e3-ceea-473f-bb4d-0735df53bf90/download/flowcapt_windspeed_min.xlsx
    Description: The data file contains the minimum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

acoustic-mass-flux

display_name: acoustic-mass-flux

flowcapt

display_name: flowcapt

raclets

display_name: raclets

snow-blowing

display_name: snow-blowing

snowdrift

display_name: snowdrift

wind-speed

display_name: wind-speed


en:
The repository contains the source code necessary to reproduce Figs. 2-5 of the publication: L. Mewes, H. Löwe, M. Schneebeli & B. Walter, *Optical determination of snow density via sub-surface scattering*, Commun Phys, doi: [10.1038/s42005-026-02490-1](https://doi.org/10.1038/s42005-026-02490-1).
The data for Fig. 5 of the above mentioned publication is available at [10.16904/envidat.724](https://doi.org/10.16904/envidat.724).
Please refer to the `README` in this repository for additional information.
- **License:** The scripts in this repository are licensed under the MIT License; see LICENSE.txt for the full text.
 Files
`generate_figures.py`: Main script to generate the figures of the publication.
`snow_optics.py`: Core radiative-transfer functions.
`snow_image.py`: Utilities for loading and processing SnowImager ([www.snowimager.ch](https://www.snowimager.ch)) HDF5 data.
`helper.py`: Miscellaneous helper functions.
`lambertw.py`: Lambert W function implementation (John Burkardt, 2023, MIT license, -https://people.sc.fsu.edu/~jburkardt/py_src/lambert_w/lambert_w.py-).
 Third party resources
- Refractive indices of ice are taken from 'Warren, S. G., and R. E. Brandt (2008), Optical constants of ice from the ultraviolet to the microwave: A revised compilation, J. Geophys. Res., 113, D14220, doi:[10.1029/2007JD009744](https://doi.org/10.1029/2007JD009744).' available at: https://refractiveindex.info/database/data/main/H2O/nk/Warren-2008.yml
- The Lambert *W* function is implemented using the code of John Burkardt, modified 20 June 2023 and distributed under the MIT license (-https://people.sc.fsu.edu/~jburkardt/py_src/lambert_w/lambert_w.py-).
- The source code in this repository is part of a larger project for post-processing [SnowImager](https://www.snowimager.ch) data hosted at [https://code.wsl.ch/snow-physics/snowimagerpro](https://code.wsl.ch/snow-physics/snowimagerpro).

en: Source code for the publication Optical determination of snow density via sub-surface scattering

en: snow-profile laboratory-study snow-stratigraphy reflection snow-density snowimager snow-microstructure

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: Source code
    Size: 22825 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5ef9984d-7fd8-4b95-87c4-f479b2e5ac13/resource/9af1ca7b-8780-46ec-abbc-e4b6890eead6/download/src.zip
    Description: Source code to generate the figures for Mewes et al., Commun Phys, 2026.

The scripts in this repository are licensed under the MIT License; see LICENSE.txt for the full text.

en:
Resource Title: README.md
    Size: 5181 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/5ef9984d-7fd8-4b95-87c4-f479b2e5ac13/resource/97d46f1d-9321-4b1a-9a72-d79978da633f/download/readme.md
    Description: Instructions to generate figures for Mewes et al., Commun Phys, 2026.

laboratory-study

display_name: laboratory-study

reflection

display_name: reflection

snow-density

display_name: snow-density

snow-microstructure

display_name: snow-microstructure

snow-profile

display_name: snow-profile

snow-stratigraphy

display_name: snow-stratigraphy

snowimager

display_name: snowimager


en:
This repository contains data related to an interdisciplinary study on playgrounds, looking at both playground vegetation and the well-being of pre-school children using those playgrounds. This project was funded by and initiated at the Institute for Landscape Planning and Ecology (ILPÖ) of the University of Stuttgart, Germany. Data was collected by ILPÖ. The project was finalised in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). The aim of the study was to (1) describe playground vegetation (species richness and diversity at the ground, shrub and tree layers; habitat structure); (2) describe preschool children’s well-being and nature-connectedness; and (3) investigate whether there is a relationship between plant diversity and well-being while exploring potential other predictors of well-being, including children’s and parents’ or carer’s nature-connectedness, greenspace exposure, seasonality, and socio-demographic background.
We sampled ground (-1m height), shrub (1-2m height) and tree (-2m hieght) vegetation of 29 playgrounds of Stuttgart's inner city. Sampling took place between May 25 and July 01, 2021. Ground layer vegetation was sampled in ten one-by-one m2 quadrats per playground, within which we recorded the cover of each species based on the Braun-Blanquet scale. Woody vegetation was exhaustively sampled within the playgrounds and in a surrounding two meters buffer, recording each individual plant. Vegetation cover was visually estimated as a percentage for each vegetation layer, namely the ground, shrub and tree (canopy) layers.
In parallel, we distributed questionnaires to parents and carers to assess the well-being and connectedness-to-nature of preschool children (aged 6 or younger) across the seasons. The questionnaire covered children's (1) use of greenspaces, (2) nature-connectedness, (3) well-being, and (4) socio-demographic variables. Questionnaires were distributed accross all seasons: sampling seasons included autumn (Oct-Nov 2021), winter (Jan-Feb 2022), spring (April-May 2022) and summer (June-July 2022). Ethical approval was granted by the University of Stuttgart Commission on Responsibility in Research (Az. 21-033).

en: Playground biodiversity and preschool children well-being

en: green-spaces urban seasons well-being biodiversity

en:
Resource Title: Spielplatz Fragebogen_Französisch.pdf
    Size: 353495 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/872f9d84-d7a4-498d-9f3e-5851bd9bddfd/download/spielplatz-fragebogen_franzosisch.pdf
    Description: This document includes the French version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Ukrainian.pdf
    Size: 1015736 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/1ae17430-7011-40f1-87d5-48f642e997ea/download/spielplatz-fragebogen_ukrainian.pdf
    Description: This document includes the Ukrainian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Deutsch.pdf
    Size: 364554 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/deca6461-d9a1-4cf4-8739-480e13432408/download/spielplatz-fragebogen_deutsch.pdf
    Description: This document includes the German version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Spanisch.pdf
    Size: 345221 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/c57948ab-c230-45c0-a9b2-b60eb3460cfd/download/spielplatz-fragebogen_spanisch.pdf
    Description: This document includes the Spanish of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Arabisch.pdf
    Size: 397855 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/56c767f8-0b3d-45c3-9209-2bce6dac682f/download/spielplatz-fragebogen_arabisch.pdf
    Description: This document includes the Arabic version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Russisch.pdf
    Size: 357530 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/53481be4-b668-48c6-98df-c58961caf97b/download/spielplatz-fragebogen_russisch.pdf
    Description: This document includes the Russian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Plant and playground data.xlsx
    Size: 97321 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/eb12671e-2a17-4acf-b181-a68e40fd1fe5/download/plant-and-playground-data.xlsx
    Description: This file contains the playground and plant diversity data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".
The file is separated in five tabs containing:
(1) the overview of the playgrounds,
(2) the overview of all plant species, with their life-history traits and the diversity indexes per layer,
(3) the tree (canoy) layer abundance of each plant species, measured exhaustively in each playground,
(4) the shrub layer abundance of each plant species, measured exhaustively in each playground, and
(5) the ground layer abundance of each plant species, estimated with the Braun-Blanquet scale in 10 quadrats per playground.

en:
Resource Title: Spielplatz Fragebogen_Englisch.pdf
    Size: 340244 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/b87bc6b7-9aaa-4c86-adfc-52dcf47bcfb4/download/spielplatz-fragebogen_englisch.pdf
    Description: This document includes the English version of the questionnaire administered to carers of pre-school children. This was the original questionnaire, later translated in the 10 most spoken languages in Baden-Württemberg (DE).

en:
Resource Title: Spielplatz Fragebogen_Polnisch.pdf
    Size: 361073 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/024bbf41-00b5-4c84-ba75-28e136050d41/download/spielplatz-fragebogen_polnisch.pdf
    Description: This document includes the Polish version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Türkisch.pdf
    Size: 346481 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/f49040c1-0140-4b98-8b3a-b8b6be4fd565/download/spielplatz-fragebogen_turkisch.pdf
    Description: This document includes the Turkish version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Well-being.xlsx
    Size: 184576 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/8b624832-b01e-4728-95cc-22644320da26/download/well-being.xlsx
    Description: This file contains the anonymised well-being and nature-connectedness data for the manuscript "Playground tree diversity: a driver of well-being in preschool children".

en:
Resource Title: Spielplatz Fragebogen_Rumänisch.pdf
    Size: 349716 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/0ac43c39-4a0d-40c2-a544-e2a4e6109213/download/spielplatz-fragebogen_rumanisch.pdf
    Description: This document includes the Romanian version of the questionnaire administered to carers of pre-school children.

en:
Resource Title: Spielplatz Fragebogen_Italienisch.pdf
    Size: 322529 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/517c3b45-c944-41fd-8f3e-bc37ec321e88/resource/6971a33d-2b7d-40d4-8d99-d583aed944d2/download/spielplatz-fragebogen_italienisch.pdf
    Description: This document includes the Italian version of the questionnaire administered to carers of pre-school children.

biodiversity

display_name: biodiversity

green-spaces

display_name: green-spaces

seasons

display_name: seasons

urban

display_name: urban

well-being

display_name: well-being


en:
**Schweizweite Hinweiskarten des lichtbedingten Verjüngungspotentials (Stand LFI VHM 2024)**
This is a dataset for Swiss forestry, for a description in English please see below.
Il s'agit d'un ensemble de données relatives à la sylviculture suisse. Pour une description en français, voir ci-dessous.
Si tratta di una serie di dati relativi alla silvicoltura svizzera. Per una descrizione in francese, vedere sotto.
Die Karte zeigt, wo die Lichtbedingungen für genügend Höhenzuwachs der Verjüngung (-= 300 cm) der jeweiligen Baumartengruppe ausreichen. Die Karte basiert auf gutachtlich erhobenen Feldaufnahmen in 39 Forstrevieren, verteilt über die ganze Schweiz und verschiedene Höhenlagen, sowie auf dem Kronenöffnungsgrad, der aus LiDAR Daten abgeleitet wurde. Die berücksichtigten Baumarten wurden anhand ihrer Lichtansprüche in die unten aufgeführten Klassen eingeteilt. Indikativ kann die Karte auch für andere Baumarten der jeweiligen Klasse verwendet werden:
- Lärche, Birke, Stiel- und Traubeneiche, Waldföhre und Kirschbaum: Lichtbaumarten (Klasse 1)
- Berg- und Spitzahorn: Halblichtbaumarten (Klasse 2)
- Fichte, Sommer- und Winterlinde: Halbschattenbaumarten (Klasse 3):
- Buche und Tanne: Schattenbaumarten (Klasse 4)
- Zu dunkel für das Aufwachsen sämtlicher Baumarten (Klasse 5)
Zweck: Die Karte zeigt, ob die lokal vorhandenen Lichtverhältnisse ausreichen, damit Jungbäume ohne zusätzlichen Eingriff vital ins Stangenholz aufwachsen können, und macht damit potenziell nötige waldbauliche Massnahmen frühzeitig erkennbar.
Hinweise zur Verwendung: Unterstützung von Försterinnen und Waldbewirtschaftern bei der Planung von Verjüngungseingriffen, der Jungwaldpflege, der Baumartenwahl und beim zeitlichen und räumlichen Monitoring, da die Karte bei neuen LiDAR-Befliegungen regelmässig aktualisiert wird.
Bemerkungen: Das Verjüngungspotential wurde ausschliesslich aufgrund des Kronenöffnungsgrads berechnet, der die Abschattung durch die umliegenden Baumkronen und dem Gelände berücksichtigt. Die direkte Sonneneinstrahlung wurde bisher nicht berücksichtigt, da damit statistisch weniger gute Ergebnisse erreicht werden. Somit kann auch die Hangexposition oder die Ausrichtung der Lücken bisher nicht berücksichtig werden. Ebenso können bisher keine Höhenstufen-spezifischen Unterteilungen erfolgen, da das verwendete nationale Modell in den statistischen Tests am besten abschneidet. In Beständen mit Bäumen und Sträuchern von ca. 3-7 Höhe werden die Lichtbedingungen in der Unterschicht überschätzt, d.h. die Karte zeigt in solchen Fällen ein zu hohes Verjüngungspotential. Die Karte wurde auf die Waldfläche gemäss LFI reduziert und Waldstrassen wurden so gut wie möglich ausmaskiert.
**Cartes nationales indiquant le potentiel de régénération lié à la lumière (état IFN VHM 2024)**
La carte montre les endroits où les conditions de luminosité sont suffisantes pour permettre une croissance en hauteur suffisante (-= 300 cm) de la régénération pour chaque groupe d'essences. La carte est basée sur des relevés effectués sur le terrain dans 39 districts forestiers répartis sur toute la Suisse et à différentes altitudes, ainsi que sur le degré d'ouverture de la canopée, dérivé des données LiDAR. Les essences prises en compte ont été classées dans les catégories ci-dessous en fonction de leurs besoins en lumière. La carte peut également être utilisée à titre indicatif pour d'autres essences de la catégorie correspondante :
Mélèze, bouleau, chêne pédonculé et chêne rouvre, pin sylvestre et cerisier : essences photophiles (classe 1)
Érable sycomore et érable plane : essences semi-photophiles (classe 2)
Épicéa, tilleul à petites feuilles et tilleul à grandes feuilles : essences semi-ombelibles (classe 3)
Hêtre et sapin : essences ombéliques (classe 4)
Trop sombre pour la croissance de toutes les essences (classe 5)
Objectif : la carte indique si les conditions de luminosité locales sont suffisantes pour que les jeunes arbres puissent atteindre le stade de perchis sans intervention supplémentaire et permet ainsi d'identifier à un stade précoce les mesures sylvicoles potentiellement nécessaires.
Conseils d'utilisation : aide les forestiers et les gestionnaires forestiers à planifier les mesures de rajeunissement, l'entretien des jeunes forêts, le choix des essences et le suivi temporel et spatial, car la carte est régulièrement mise à jour lors de nouveaux survols LiDAR.
Remarques : le potentiel de régénération a été calculé exclusivement sur la base du degré d'ouverture de la canopée, qui tient compte de l'ombrage causé par les cimes des arbres environnants et le terrain. L'ensoleillement direct n'a pas été pris en compte jusqu'à présent, car il donne des résultats statistiquement moins bons. De même, l'exposition des pentes ou l'orientation des clairières ne peuvent pas être prises en compte pour l'instant. De même, aucune subdivision spécifique à l'altitude ne peut être effectuée jusqu'à présent, car le modèle national utilisé obtient les meilleurs résultats dans les tests statistiques. Dans les peuplements composés d'arbres et d'arbustes d'une hauteur d'environ 3 à 7 mètres, les conditions d'ensoleillement dans la strate inférieure sont surestimées, c'est-à-dire que la carte indique dans ces cas un potentiel de régénération trop élevé. La carte a été réduite à la surface forestière selon l'IFN et les routes forestières ont été masquées autant que possible.
**Mappe indicative a livello nazionale del potenziale di ringiovanimento legato alla luce (stato LFI VHM 2024)**
La mappa mostra dove le condizioni di luce sono sufficienti per garantire un'adeguata crescita in altezza del rimboschimento (-= 300 cm) del rispettivo gruppo di specie arboree. La mappa si basa su rilevamenti sul campo effettuati da esperti in 39 distretti forestali distribuiti su tutto il territorio svizzero e a diverse altitudini, nonché sul grado di apertura della chioma ricavato dai dati LiDAR. Le specie arboree prese in considerazione sono state classificate in base alle loro esigenze di luce nelle classi elencate di seguito. La mappa può essere utilizzata in modo indicativo anche per altre specie arboree della rispettiva classe:
- Larice, betulla, farnia e faggio, pino silvestre e ciliegio: specie arboree che necessitano di luce (classe 1)
- Acero di montagna e acero riccio: specie arboree che necessitano di luce moderata (classe 2)
- Abete rosso, tiglio estivo e tiglio invernale: specie arboree di mezz'ombra (classe 3):
- Faggio e abete: specie arboree di ombra (classe 4)
- Troppo buio per la crescita di tutte le specie arboree (classe 5)
Scopo: la mappa mostra se le condizioni di luce locali sono sufficienti affinché i giovani alberi possano crescere vitalmente senza ulteriori interventi e rende così riconoscibili tempestivamente le misure selvicolturali potenzialmente necessarie.
Indicazioni per l'uso: supporto ai forestali e ai gestori forestali nella pianificazione degli interventi di ringiovanimento, nella cura dei boschi giovani, nella scelta delle specie arboree e nel monitoraggio temporale e spaziale, poiché la mappa viene aggiornata regolarmente con nuove rilevazioni LiDAR.
Osservazioni: il potenziale di rigenerazione è stato calcolato esclusivamente sulla base del grado di apertura della chioma, che tiene conto dell'ombreggiamento causato dalle chiome degli alberi circostanti e dal terreno. Finora non è stata presa in considerazione l'esposizione diretta al sole, poiché ciò comporta risultati statisticamente meno attendibili. Pertanto, non è stato possibile tenere conto dell'esposizione del pendio o dell'orientamento delle radure. Allo stesso modo, non è ancora possibile effettuare suddivisioni specifiche per altitudine, poiché il modello nazionale utilizzato ottiene i migliori risultati nei test statistici. Nei popolamenti con alberi e arbusti di circa 3-7 metri di altezza, le condizioni di luce nello strato inferiore sono sovrastimate, ovvero in questi casi la mappa mostra un potenziale di rigenerazione troppo elevato. La mappa è stata ridotta alla superficie forestale secondo l'IFN e le strade forestali sono state mascherate il più possibile.
**Switzerland-wide maps showing light-induced regeneration potential (as of NFI VHM 2024)**
The map shows where light conditions are sufficient for sufficient height growth of regeneration (-= 300 cm) for each tree species group. The map is based on expert field surveys in 39 forest districts spread across Switzerland and at various altitudes, as well as on the degree of canopy opening derived from LiDAR data. The tree species considered were divided into the classes listed below based on their light requirements. The map can also be used as a guide for other tree species in the respective class:
- Larch, birch, English oak, sessile oak, Scots pine, and cherry: light-demanding tree species (class 1)
- Sycamore maple and Norway maple: semi-light-demanding tree species (class 2)
- Spruce, small-leaved and large-leaved lime: semi-shade tree species (class 3):
- Beech and fir: shade tree species (class 4)
- Too dark for all tree species to grow (class 5)
Purpose: The map shows whether the local light conditions are sufficient for young trees to grow vigorously into pole wood without additional intervention, thus identifying potentially necessary silvicultural measures at an early stage.
Notes on use: Support for foresters and forest managers in planning regeneration measures, young forest maintenance, tree species selection, and temporal and spatial monitoring, as the map is regularly updated with new LiDAR flights.
Comments: The regeneration potential was calculated solely on the basis of the degree of canopy opening, which takes into account the shading caused by the surrounding tree crowns and the terrain. Direct sunlight has not been taken into account so far, as this leads to statistically less reliable results. This means that slope exposure or the orientation of gaps cannot be taken into account at this stage. Similarly, no altitude-specific subdivisions can be made at present, as the national model used performs best in statistical tests. In stands with trees and shrubs of approx. 3-7 m in height, the light conditions in the understorey are overestimated, i.e. in such cases the map shows an excessively high regeneration potential. The map has been reduced to the forest area according to the NFI, and forest roads have been masked out as much as possible.

en: Switzerland-wide maps of light-induced regeneration potential (as of NFI VHM 2024)

en: forest-management rejuvenation protection-forest light-availability lidar

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Verjüngungspotential_LFI_2024.tif
    Size: 163577856 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/c9b1019d-78cf-49b5-b065-25d8e2dd2700/resource/2a3adf57-5d17-4c04-897b-13c2c94149b9/download/verjpot_ch_18122025.tif
    Description:

format: TIFF

media_type: image/tiff

en:
Resource Title: Verjüngungspotentialkarte_Kurzbeschrieb.pdf
    Size: 364954 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c9b1019d-78cf-49b5-b065-25d8e2dd2700/resource/1f901079-7a5a-46a5-8246-a685d71e0c8f/download/verjungungspotentialkarte_kurzbeschrieb_17022026.pdf
    Description: Kurzbeschrieb inkl. Legende und Limitierungen

en:
Resource Title: LiDAR_Befliegungsjahre_VHM_LFI_2024.png
    Size: 201083 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/c9b1019d-78cf-49b5-b065-25d8e2dd2700/resource/75048199-3e98-4715-9d2e-8e27cb265b12/download/lidar_befliegungsjahre_18122025.png
    Description: Karte mit den Befliegungsjahren der LiDAR Daten, welche für die Berechnung des Verjüngungspotential verwendet wurden.

format: PNG

media_type: image/png

forest-management

display_name: forest-management

lidar

display_name: lidar

light-availability

display_name: light-availability

protection-forest

display_name: protection-forest

rejuvenation

display_name: rejuvenation


en:
This dataset contains the main atmospheric measurements and treatment information from the VPDrought experiment conducted at the Pfynwald research platform. It comprises three types of data files:
- Over-canopy meteorological data (*pfynwald_vpdrought_meteo_oc_1Minutes_year.txt*): In-situ measurements from the meteorological station located above the canopy. These measurements represent atmospheric conditions above the canopy and are not affected by the vapor pressure deficit (VPD) manipulation treatment. The data are provided at 1-minute resolution and include precipitation, air temperature, relative humidity, VPD, global radiation, photosynthetically active radiation (PAR), wind speed, and wind direction.
- In-canopy meteorological data (*pfynwald_vpdrought_meteo_ic_1Minutes_year.txt*): Aggregated measurements from multiple measurement points within the canopy at 1-minute resolution. Depending on the parameter, measurements are either distinguished between ambient and VPD manipulated conditions or, for parameters unaffected by the VPD manipulation, provided as a single aggregated variable. The data include air temperature, relative humidity, VPD, wind speed, wind direction, and the operation status of the VPD reduction system.
- Irrigation data (*pfynwald_vpdrought_irrigation_1Day_year.txt*): Daily irrigation sums aggregated across the four irrigated sub-plots 2, 3, 6, and 7.

 Quality control and gap filling
All meteorological and treatment data were subjected to a combined automatic and visual quality-control (QC) procedure before gap filling. The procedure included parameter-specific hard-limit, temporal-consistency, consecutive-value, and spatial-consistency checks, followed by visual inspection of suspicious values and measurement periods. Implausible values were excluded.
After QC, the resulting time series were completely gap filled. The gap filling method was selected according to the characteristics of the individual parameter and the available reference data. Short gaps were filled by linear interpolation, whereas longer gaps were filled using parameter-specific approaches, including fitting external reference data or using valid observations from preceding and following days at the same time of day.
The resulting data classes are specified in the data files:
- _observed_ = directly measured value that passed the QC procedure
- _corrected_ = measured value to which a correction was applied
- _derived_ = value derived from multiple observations
- _estimated_ = value estimated to fill a missing or excluded observation
In the data files, the *quality_flag* indicates the quality and origin of each value, with 1 representing the highest quality and 3 the lowest. For values with a *quality_flag* -1, as well as for estimated or corrected values, a specific comment provides additional information on the method used to obtain the value and/or the reason for the reduced quality.
The resulting datasets provide continuous time series at their respective temporal resolutions while retaining information on the origin and quality of each value. Detailed descriptions of the parameter-specific processing and gap filling approaches are provided with the respective data files.
 Treatment and measurement conditions
- Irrigation and VPD reduction were generally limited to the period May to September.
- Irrigation added approximately 600 mm of water per year.
- The VPD reduction system was mostly operating during periods of high VPD, typically from late morning to the evening. During system operation, VPD was reduced by approximately 25%.
- During a few periods, treatments could not be applied (e.g., due to power cuts, lack of available water, or technical failures).
- In canopy measurements were conducted in the center of the tree crowns, exposed either to ambient atmospheric conditions or to the VPD reduced conditions. The measurements are representative of the VPD treatment effects, although some gradients in VPD reduction occurred within the VPD reduced canopies.

 For further information, see:
- Schaub, M., Hunziker, S., Gisler, J., Bortolami, G., Trotsiuk, V., Meusburger, K., Hug, C., Rigling, A., Gessler, A. & Grossiord, C. Disentangling atmospheric and soil drought: A new stand-level manipulation approach for mature forests. Manuscript under review at New Phytologist.

en: Pfynwald VPDrought experiment atmospheric parameters and manipulations

en: par relative-humidity air-temperature pfynwald wind-direction vpd meteorological-measurements pinus-sylvestris irrigation-manipulation precipitation wind-speed global-radiation vpdrought irrigation continuous-monitoring rhone-valley drought-experiment atmospheric-observations

en:
Resource Title: pfynwald_vpdrought_meteorology_ic_2024.zip
    Size: 19799175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/c251e9b2-4dcd-453c-a164-fda0dce7ec7a/download/pfynwald_vpdrought_meteorology_ic_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_meteorology_irrigation_2025.zip
    Size: 22033 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/6b38bacf-0a45-4d3d-86af-b8af5dfe8bcd/download/pfynwald_vpdrought_meteorology_irrigation_2025.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_meteorology_irrigation_2024.zip
    Size: 22129 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/667bd594-5d6b-4160-ad54-e2b40182333c/download/pfynwald_vpdrought_meteorology_irrigation_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_meteorology_oc_2024.zip
    Size: 17807136 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/3d4822ac-4fe2-4c94-8904-6412eec60785/download/pfynwald_vpdrought_meteorology_oc_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_meteorology_oc_2025.zip
    Size: 17855577 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/c63037b7-d729-48eb-8f1e-b9a70bf38eee/download/pfynwald_vpdrought_meteorology_oc_2025.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_meteorology_ic_2025.zip
    Size: 19967306 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e59004-9655-4507-95ac-7db9345309e0/resource/0f80143c-7ef7-43a1-a2d6-4b75c5453bf2/download/pfynwald_vpdrought_meteorology_ic_2025.zip
    Description:

air-temperature

display_name: air-temperature

atmospheric-observations

display_name: atmospheric-observations

continuous-monitoring

display_name: continuous-monitoring

drought-experiment

display_name: drought-experiment

global-radiation

display_name: global-radiation

irrigation

display_name: irrigation

irrigation-manipulation

display_name: irrigation-manipulation

meteorological-measurements

display_name: meteorological-measurements

par

display_name: par

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

rhone-valley

display_name: rhone-valley

vpd

display_name: vpd

vpdrought

display_name: vpdrought

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed


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 Beatenberg in Switzerland where one station is located within a natural coniferous forest (BAB) with Norway spruce (_Picea abies_; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Beatenberg is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the
Swiss Federal Research Institute WSL.

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

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

en:
Resource Title: Data plot of the forest station (BAB)
    Size: 264859 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/8c00d355-294d-4f2f-b4dc-07040fb26cf9/download/babplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site aerial photo (Beatenberg)
    Size: 7606891 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/8bc02435-75c6-4d95-b9c0-cfc2d2bef9ca/download/bafront.jpg
    Description: Site aerial photo from both Beatenberg stations. Source: Google. 2016. Site aerial photo from both Beatenberg stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en:
Resource Title: Forest station data (BAB)
    Size: 10587165 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/570f2184-ab50-4d27-95b3-719a232be310/download/babforest.csv
    Description: Data file.

en:
Resource Title: Site photo of the forest station (BAB)
    Size: 4369495 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/a9319eac-4faa-4d52-b421-9f7bb84e28c8/download/bab.jpg
    Description: Site photo of the forest station from below (viewing upwards the slope).

en:
Resource Title: Data plot of the field station (BAF)
    Size: 344142 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/b262014f-928c-4dde-8753-9a1114bca646/download/bafplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site photo of the field station (BAF)
    Size: 572287 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/47eb2579-665a-4d7a-b12c-dd900596ce1a/download/baf.jpg
    Description: Site photo of the field station from below (viewing upwards the slope).

en:
Resource Title: Field station data (BAF)
    Size: 10526030 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/29e5645c-8572-4fb3-ada6-d63fb0f4a1f2/resource/49b0170b-e917-43ee-bdac-d34c0a84a1c4/download/baffield.csv
    Description: Data file.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature


en:
This dataset contains eddy-covariance measurements in the ablation period of 2014-2016. Measurements were taken from two turbulence towers over a long-lasting snow patch, which are 5 m apart from each other (2014 and 2015). The turbulence towers were equipped with two YOUNG ultrasonic anemometers mounted 0.7 m (in 2014) and 3.3 m (in 2015) above snow-free ground, two ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) mounted at 2.6 m (in 2014) and 2.2 m (in 2015) above snow-free ground and one anemometer (DA-600, Kaijo Denki) mounted at 0.3 m above snow surface.
The measurement setup changed in 2016 and includes a measurement above the snow-free ground in upwind direction (Swiss coordinates: 790191/176689). The measurement tower is equipped with one ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 3.3 m above the snow-free ground. Additionally, one measurement tower is installed above the long-Lasting snow patch and equipped with the same setup as 2015.
Turbulence data were sampled at a frequency of 20 Hz. The processing of the data to quality controlled fluxes has been done with the Biomicrometeorology flux software (Thomas et al., 2009). The program applies plausibility tests and a despiking test after Vickers and Mahrt (1997) on the measured data. The routine further applies a time-lag correction and considers the deployment (e.g.  the sonic azimuth). A frequency response correction (Moore, 1986) is done and a three-dimensional rotation is performed. Finally, quality assurance/quality control (QA/QC) flags after Foken et al., (2004) are issued and fast Fourier transform power and co-spectra are calculated.  The change in snow height is considered in the post-processing for every measurement day. The turbulence data were averaged to 30 minute intervals.

en: DISCHMEX - Impact of extreme land-surface heterogeneity on micrometeorology over spring snow-cover

en: dischmex turbulent-sensible-heat-fluxes patchy-snow-covers snow-patch eddy-covariance-measurements

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: S1 2016
    Size: 842796 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/b5c85840-bf9f-4605-b4c7-9d05b00f2cdc/download/s1-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.5 m.

en:
Resource Title: Gletschboden setup
    Size: 1723556 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/622ba326-7828-4f83-868c-94ad784c1841/download/gletschboden.png
    Description: Background map based on data © 2014/2016 swisstopo (JD100042)

en:
Resource Title: S5 2014
    Size: 212111 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/fb937402-fc94-4121-9d55-809664005628/download/s5-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

en:
Resource Title: S2 2014
    Size: 726971 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/25ce04fb-452c-439e-b1fe-8ef2ccb1ea4e/download/s2-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.6 m.

en:
Resource Title: S5 2015
    Size: 271399 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/d9037751-fbdf-438c-a1b0-03aa3301c065/download/s5-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

en:
Resource Title: S2 2016
    Size: 571682 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/e78a7861-5a9d-458f-b66d-d180292f6840/download/s2-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 3.2 m on a daily basis.

en:
Resource Title: S3 2016
    Size: 860498 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/0425d29f-b2cd-4092-afe6-00ca6fbd2303/download/s3-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 1.7 m on a daily basis.

en:
Resource Title: S4 2015
    Size: 764023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/3e7cd0af-60cb-4026-8e8f-7c0736c45f5b/download/s4-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

en:
Resource Title: Output explanation
    Size: 17405 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/c97df0fe-0691-4123-9d12-73909311f289/download/outputexplanation.xlsx
    Description:

en:
Resource Title: S5 2016
    Size: 54602 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/43081c3a-5d6c-4f7c-9259-b221e82f9b61/download/s5-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

en:
Resource Title: S3 2014
    Size: 717361 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/96640b5b-18e4-4de4-b19b-d8be3fabe9a6/download/s3-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 0.7 m.

en:
Resource Title: S1 2015
    Size: 737846 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/68c609d2-beb3-45b7-bbd4-cdf33de5f6e1/download/s1-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.3 m.

en:
Resource Title: S3 2015
    Size: 765677 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/9e551281-5120-4041-860e-8d2fc911c9dd/download/s3-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

en:
Resource Title: S4 2014
    Size: 717473 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/60ca7742-4ab9-49f6-9318-3dac0c4ae4bd/download/s4-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 0.7 m.

en:
Resource Title: S2 2015
    Size: 735270 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/81cb8412-b9bf-4ac8-a65b-7fdd0c597087/download/s2-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.3 m.

en:
Resource Title: S1 2014
    Size: 725025 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/486e31a9-78e2-4736-9cad-a40c0958662c/download/s1-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.6 m.

dischmex

display_name: dischmex

eddy-covariance-measurements

display_name: eddy-covariance-measurements

patchy-snow-covers

display_name: patchy-snow-covers

snow-patch

display_name: snow-patch

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography
Please cite this paper together with the citation for the datafile.
The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (-1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies.

en: nutrient-addition anthropogenic-management soil-properties microbial-biomass-carbon herbivore-exclusion climate microbial-respiration

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

anthropogenic-management

display_name: anthropogenic-management

climate

display_name: climate

herbivore-exclusion

display_name: herbivore-exclusion

microbial-biomass-carbon

display_name: microbial-biomass-carbon

microbial-respiration

display_name: microbial-respiration

nutrient-addition

display_name: nutrient-addition

soil-properties

display_name: soil-properties


aerosol-data-weissfluhjoch

en:
Aerosol properties were measured between February 8 and March 31 2019  at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (- 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.
Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 &956;m) and GT-526S (0.3 – 5 &956;m), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM&8321;, PM&8322;,&8325; and PM&8321;&8320; (assumptions: particle density: 1.65 g cm&713;&179;, refractive index: 1.5+i0).
Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 &956;m and ~20 &956;m by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cm&713;&179;).
Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cm&713;&179;).
Coriolis &956; and LINDA: A microbial air sampler (Coriolis &956;, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 &956;m were drawn with an air flow rate of up to 300 l min&8254;&185; into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

en: Aerosol Data Weissfluhjoch

en: inp ice-nucleation raclets particles linda aerosol

title_for_slug: aerosol-data-weissfluhjoch

en:
Resource Title: SMPS Dataset Weissfluhjoch
    Size: 32316159 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/67ab6458-99fd-4f2e-b707-20c8dcf52109/resource/585a81d2-1d89-4453-b9b0-49176e48359d/download/smps_weissfluhjoch.nc
    Description: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity) in a temporal resolution of 2 minutes, with time in UTC, measured at Weissfluhjoch.

en:
Resource Title: OPC-GT526S Dataset Weissfluhjoch
    Size: 11552644 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67ab6458-99fd-4f2e-b707-20c8dcf52109/resource/6e0ab260-4ec2-4b08-b485-63bbed6b4433/download/opc-gt526s_weissfluhjoch.csv
    Description: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

en:
Resource Title: APS Dataset Weissfluhjoch
    Size: 98624420 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/67ab6458-99fd-4f2e-b707-20c8dcf52109/resource/c7846a5d-4a0f-462b-bddc-594bfb6a578b/download/aps_weissfluhjoch.nc
    Description: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Weissfluhjoch.

en:
Resource Title: LINDA Dataset Weissfluhjoch
    Size: 191898 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/67ab6458-99fd-4f2e-b707-20c8dcf52109/resource/6451c23d-b1ec-4100-8f78-ba35611e540f/download/raclets_inp_wfj.nc
    Description: The LINDA file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en:
Resource Title: OPC-N3 Dataset Weissfluhjoch
    Size: 54387041 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67ab6458-99fd-4f2e-b707-20c8dcf52109/resource/3932aae8-fa08-4dd7-bb1c-35cdfe3859bf/download/opc-n3_weissfluhjoch.csv
    Description: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

aerosol

display_name: aerosol

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

linda

display_name: linda

particles

display_name: particles

raclets

display_name: raclets


en: This data includes (1) Scripts to aggregate landscape resistance layers into squared and hexagonal grids (i.e., different representations and resolutions), (2) Input resistance layers and focal nodes in .txt format to run in Circuitscape (Python implementation v4.0.5). Circuitscape is a software tool for modeling and analyzing landscape connectivity, which simulates movement of organisms across landscapes by estimating resistance to movement across each point of the landscape. (3) Scripts for the ecological network analysis, and (4) environmental predictors for amphibian whole-life cycle habitats used to describe the local environment for BGI design (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related).

en: Multi-Scale Prioritization framework for Urban Blue-Green Infrastructure Planning to Support Biodiversity: Data & Codes

en: biodiversity ecological-corridors network-analysis ecosystem-services circuit-theory urban-planning

en:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modelling - part 2
    Size: 20335272 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/1283e651-6999-46ad-b23d-0e81c593a90e/download/2_network-analysis.zip
    Description: The zipped folder includes the script to create and analyse the networks from Circuitscape outputs. The subfolders “Boundaries”, “Layers”, and “Reference_net” contain files either called by the code or created in the process. The subfolder “Outputs_from_Circuitscape” contains the outputs from Circuitscape including node and branch cumulative currents in a network format.

en:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modeling - part 1
    Size: 247430561 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/e364cf62-5561-4b4d-8909-0977b3da60f3/download/1_resistance_layers.zip
    Description: The zipped folder includes the script to aggregate the resistance layers into squared and hexagonal grids. The subfolders “Boundaries”, “Layers”, “Reference_grids”, and “Resistance_from_SDMs” contain files either called by the code or created in the process.The subfolder “Inputs_for_Circuitscape” contains the inputs to run Circuitscape, after doing some subsequent processing steps in QGIS (listed in the R script) with the files created with the script.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

ecosystem-services

display_name: ecosystem-services

network-analysis

display_name: network-analysis

urban-planning

display_name: urban-planning