en:
A spatial dataset and tool to simultaneously assess hydropower potential and ecological potential of the Swiss river network (Version 2016)
 Introduction
The steadily growing demand for energy and the simultaneous pursuit of decarbonisation are increasing interest in the expansion of renewable energies worldwide. In Switzerland, various funding projects have been launched to promote technologies in the field of renewable energies and their application as quickly as possible. With the introduction of a funding instrument in 2009, the number of projects submitted to produce renewable energies increased rapidly. The applications for small hydropower plants (≤ 10 MW) were correspondingly numerous. However, the assessment of the environmental impact and its comparison with hydropower importance is still not standardized.
To provide a basis for decision-making, a methodology was developed to determine the overall hydropower potential of a region. A detailed assessment of each river reach, and the systematic and holistic assessment of small hydropower projects at a regional scale are combined here. The assessment of a river reach is conducted at the river space (i.e., the river and adjacent areas) and at the surrounding landscape level. The HYDROpot_integral methodology was developed as part of Carol Hemund's dissertation (2012) at the University of Bern. It allows the evaluation of river reaches holistically, regarding ecological, social, economic and cultural criteria. As a second part of the overall project, the theoretical hydropower (or hydraulic) potential was calculated for the entire river network, which complemnets the spatial assessment. In particular, it is possible to classify river reaches into those that are more suitable for hydropower production (=”use”) and those that are more suitable for protection.
 Material and method
The HYDROpot_Integral method was developed and tested on the basis of cantonal and national data (Hirschi et al. 2013). The method relies on 73 geodata sets. This holistic assessment is the key element of the entire assessment procedure. Its aim is to quantify the importance of the ecosystem functions in terms of services. The river network (GWN07) is divided into reaches of about 450m and for each reach two study units are defined. The river space (RS) records the ecosystem functions of the water body and the nearby riparian area. The length of the RS is 315 m on average in Switzerland and a maximum of 450 m, whereas the width is based on the FOEN definition (BWG 2001: 18f) and varies between 7-107 m. The surrounding landscape (SLS) is the second survey unit that records the ecosystem functions of the surrounding area over a range of 21 m to 321 m. The SLS is calculated over three times the RS width. The length of the SLS is identical to the length of the RS. The ecosystem functions are divided into three types: regulating (service A), cultural (service B) and provisioning (service C) functions. Accordingly, the assessment of the functions is divided into three parts and three values are assigned to each river reach. The more functions there are and the greater their performance, the higher these values are and the more important the corresponding functions are. Hence, these values quantify the importance of the ecosystem functions and the ecological, cultural and economic ecosystem services of each river reach. The concatenation of ecosystem services results in a value (ABC) that can occur in 125 different versions due to the chosen five-level value scale; i.e. each digit of the three-digit number sequence can be assigned a value between 1 and 5. Each of the 125 combinations, and thus each river reach, has its own characteristics determined by the assessments of the three function types. To record the suitability, the combinations are ranked according to their ecological, cultural and economic ecosystem services. These rules mean that the combination that is most suitable for hydropower production at minimum cost in terms of ecological and cultural ecosystem services and has a high economic potential is ranked first; rank 125 indicates the highest ecological and cultural ecosystem services and the lowest economic services and is therefore most suitable for protection. A river reach that is excluded from hydropower use due to legislation, a so-called priority reach, is given rank 126 from the outset and specially marked. A more detailed description of the methods can be found in Hirschi et al. 2013 [Link]. The dataset presented here presents the latest state of the HYDROpot_integral methodology applied at the national level. Only national data that is easily accessible was used in the preparation of the dataset. The cantonal data, such as renaturation and revitalization, would have to be requested by each canton individually and was excluded here. The nationwide value synthesis was made with R.
A list of data sources can be found here [link to text file]
A list of all parameters can be downloaded here [link to PDF and text files]
 Dataset description
Data is presented as a single shapefile. It contains the river network and all assessment results obtained with HYDROpot_Integral.
 Changes in the methodology compared to the original method (Hirschi et. al 2013)
 * RS_A11 Ecomorphology: recorded for the whole of Switzerland and zero values equated with NA;
individual cantons such as Zug and St. Gallen have no mapped values according to the modular
concept of the federal government, Valais and Graubünden only the main valleys, Ticino and Fribourg not
completely (BAFU 2009).
 * RS_A14 Renaturation and revitalization data: not centrally available at the time of data collection.
centrally available, therefore values in GR were equated with NA.
 * RS_A15 Dilution ratio at wastewater treatment plants (WWTPs) for discharges: Zero values
equal to NA.
 * RS_A20 Water flow: use WASTA (2013) with hydroelectric power plants (- 300 kW) under
Federal control and dams serving hydroelectricity (Dam, as of 2013).
 * RS_C05 Synoptic hazard maps: are cantonally managed at the time of data collection,
Values in GR are marked with a 5 so that the systematics in the decision tree is not affected.
is affected.
 * Water quality (RS_A15, RS_A16, RS_A17, RS_A18, RS_A19): for the evaluation of the function type.
A Nature, it is important whether the median of the five values is less than or equal to 3 in total. This
evaluation is based on the decision tree for evaluating GR (Hirschi et al. 2013:22).
Therefore, an evaluation of the station data is made where critical and possible river segments
with poor quality (median less than 3) exist. Only two longer and one short
sections in Switzerland receive a lower median than 3 for water quality.
 * SLS_B06 Visibility: For 99 percent of the river segments (30,733 of 31,062) in the canton of
Bern (2015 reduced version), the landscape area is considered to be visible. Due to this high number
of sections, a large number of viewpoints in the layer of Swisstopo and
the computation time and computability in ArcGIS, the landscape area is classified as generally viewable
(equal to 1).
16 Method
Additional indicators were added (see Appendix B.2):
 * SLS_A21 Dissection
 * SLS_A22 Forest areas
 * SLS_B03 Hiking trails
 * SLS_B10 Residential and vacation homes
 * SLS_B11 Tourist infrastructure
 * SLS_C01 Landfill
 * SLS_C03 Infrastructure
 * SLS_C05 Industry
 * SLS_C06 Agricultural land
Not to be added, although present to some extent:
 * SLS_B06 Cultural assets of national importance: here, too, the calculability of the visibility analysis is
for the whole of Switzerland is limited
 * SLS_A15 Legally binding protection and land use planning: the individual river sections are not
clearly designated, i.e. no geodata exist
The following data are also not supplemented, as they are cantonal data:
 * SLS_A10 Cantonal nature reserves
 * SLS_A16 Forest reserves
 * SLS_A17 Cantonal inventories and contractually protected areas

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

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: Indicators
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    URL: https://gitlabext.wsl.ch/hugpeter/hydropot_on_envidat/-/blob/main/indicators.md
    Description: The indicators capture supporting ecosystem functions.

format: markdown

en:
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    Description:

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management


$oid: OBSOLETE

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. As an alternative to using the ‘Swiss Geo Downloader’ plugin, the DTM can be obtained directly from Swisstopo. In this tutorial we explain step by step how to download the necessary DTM from the Swisstopo Website, and how to use it in QGIS for the digital planning of a cable line using the plugin ‘Seilaplan’. Please note that the tutorial language is German!
Link to the elevation model on the swisstopo website: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.htmltechnische_details
Link to the rope map website: https://seilaplan.wsl.ch
********************
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Als Alternative zum Swiss Geo Downloader erklären wir in diesem Tutorial Schritt für Schritt, wie man das nötige Höhenmodell von der Swisstopo Webseite herunterladen und in QGIS zur Seillinienplanung verwenden kann.
Link zum Höhenmodell auf der swisstopo Webseite: https://www.swisstopo.admin.ch/de/geodata/height/alti3d.htmltechnische_details
Link zur Seilaplan-Website: https://seilaplan.wsl.ch

en: seilaplan swiss-geodata swisstopo cable-yarding digital-elevation-model open-source geoinformation-software qgis-plugin digital-planning

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Seilaplan Tutorial: DTM download from swisstopo website

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
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    Size: 1024 bytes
    Format: No Info
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    Description:

en:
Resource Title: Herunterladen des DHM von swisstopo Website
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    Format: video/mp4
    URL: https://www.envidat.ch/dataset/ed0aaf2e-e5dc-4149-85f2-3bb848a30ffe/resource/6b58a8ae-fb28-42ac-8bec-5db98e69f17e/download/seilaplan_tutorial_2_website.mp4
    Description:

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-software

display_name: geoinformation-software

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

swisstopo

display_name: swisstopo


en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. The plugin ‘Swiss Geo Downloader’, which is available for the open source geoinformation software QGIS, allows freely available Swiss geodata to be downloaded and displayed directly within QGIS. It was developed in 2021 by Patricia Moll in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. In this tutorial we describe how to download the high accuracy elevation model ‘swissALTI3D’ with the help of the ‘Swiss Geo Downloader’ and how to use it for digital planning of a cable line with the plugin ‘Seilaplan’. Please note that the tutorial language is German!
Link to the Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader
Link to Seilaplan website: https://seilaplan.wsl.ch
*********************
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Das Plugin Swiss Geo Downloader, welches für das Open Source Geoinformationssystem QGIS zur Verfügung steht, ermöglicht frei verfügbare Schweizer Geodaten direkt innerhalb von QGIS herunterzuladen und anzuzeigen. Es wurde 2021 von Patricia Moll in Zusammenarbeit mit der eidgenössischen Forschungsanstalt Wald, Schnee und Landschaft WSL entwickelt. In diesem Tutorial beschreiben wir, wie man mit Hilfe des Swiss Geo Downloaders das hochgenaue Höhenmodell swissALTI3D herunterladen und für die Seillinienplanung mit dem Plugin Seilaplan verwenden kann.
Link zum Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader
Link zur Seilaplan-Webseite: https://seilaplan.wsl.ch

en: swiss-geodata swiss-geo-downloader cable-yarding digital-elevation-model open-source qgis-plugin geoinformation-system digital-planning seilaplan

en: Seilaplan Tutorial: DTM download with SwissGeoDownloader

en:
Resource Title: View video on youtube!
    Size: 1024 bytes
    Format: No Info
    URL: https://youtu.be/u7WRrO3GplI
    Description:

en:
Resource Title: Herunterladen des DHM mit SwissGeoDownloader
    Size: 429428137 bytes
    Format: video/mp4
    URL: https://www.envidat.ch/dataset/659dc637-e0ca-4393-9f07-13b04290d6ec/resource/05723528-b1c9-4476-a69b-18327d823588/download/seilaplan_tutorial_1_swissgeodownloader.mp4
    Description:

geoinformation-system

display_name: geoinformation-system

swiss-geo-downloader

display_name: swiss-geo-downloader


en:
Close Range Remote Sensing Benchmark for different LiDAR and photogrammetric Sensors in a mixed temperate forest.
Benchmarks are needed to evaluate the performance of different close-range remote sensing devices and approaches, both in terms of efficiency as well as accuracy. In this study we evaluate the performance of two terrestrial (TLS), one handheld mobile (PLS) and two drone based (UAVLS) laser scanning systems to detect trees and extract the diameter at breast height (DBH) in three plots with a steep gradient in tree and understorey vegetation density. As a novelty, we also tested the acquisition of 3D point-clouds using a low-cost action camera (GoPro) in conjunction with the Structure from Motion (SfM) technique and compared its performance with those of the more costly LiDAR devices.

en: terrestrial-laser-scanning forest-inventory lidar structure-from-motion unmanned-aerial-vehicle-laser-scanning mobile-laser-scanning 3d-point-cloud terrestrial-photogrammetry

en: Ramerenwald Close Range Remote Sensing Benchmark

en:
Resource Title: Ramerenwald_Benchmark_FP07
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    Format: application/zip
    URL: https://s3-zh.os.switch.ch/pointclouds/20230301_Ramerenwald_Benchmark/data/Ramerenwald_Benchmark_FP07.zip
    Description: **preview_url**: https://pointclouds.s3-website-zh.os.switch.ch/20230301_Ramerenwald_Benchmark/vis/Ramerenwald_Benchmark_FP07/Ramerenwald_Benchmark_FP07.html

format: ZIP

media_type: application/zip

en:
Resource Title: Ramerenwald_Benchmark_FP08
    Size: 40694815130 bytes
    Format: application/zip
    URL: https://s3-zh.os.switch.ch/pointclouds/20230301_Ramerenwald_Benchmark/data/Ramerenwald_Benchmark_FP08.zip
    Description: **preview_url**: https://pointclouds.s3-website-zh.os.switch.ch/20230301_Ramerenwald_Benchmark/vis/Ramerenwald_Benchmark_FP08/Ramerenwald_Benchmark_FP08.html

en:
Resource Title: Ramerenwald_Benchmark_FP05
    Size: 25984552141 bytes
    Format: application/zip
    URL: https://s3-zh.os.switch.ch/pointclouds/20230301_Ramerenwald_Benchmark/data/Ramerenwald_Benchmark_FP05.zip
    Description: **preview_url**: https://pointclouds.s3-website-zh.os.switch.ch/20230301_Ramerenwald_Benchmark/vis/Ramerenwald_Benchmark_FP05/Ramerenwald_Benchmark_FP05.html

forest-inventory

display_name: forest-inventory

lidar

display_name: lidar

mobile-laser-scanning

display_name: mobile-laser-scanning

structure-from-motion

display_name: structure-from-motion

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

terrestrial-photogrammetry

display_name: terrestrial-photogrammetry

unmanned-aerial-vehicle-laser-scanning

display_name: unmanned-aerial-vehicle-laser-scanning


seilaplan-tutorial-merge-dtm-tiles

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. In this tutorial video, we show how to merge multiple DTM raster tiles into one file, using the QGIS tool ‘Virtual Raster’. This simplifies the digital planning of a cable line using the QGIS plugin ‘Seilaplan’. Please note that the tutorial language is German!
Link to Seilaplan website: https://seilaplan.wsl.ch
***************************
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. In diesem Tutorialvideo zeigen wir, wie man mit dem QGIS-Plugin Virtuelles Raster mehrere DHM-Kacheln zu einem einzigen Rasterfile zusammenfügen und abspeichern kann. Für die Seillinienplanung mit Seilaplan muss nun nur noch eine Datei, mein neues virtuelles Raster, ausgewählt werden.
Link zur Seilaplan-Website: https://seilaplan.wsl.ch

en: geodata-processing swiss-geodata raster-processing cable-yarding digital-elevation-model open-source qgis-plugin geoinformation-system digital-planning seilaplan

envidat

en: EnviDat: the Environmental Data Portal

en: Seilaplan Tutorial: Merge DTM tiles

title_for_slug: seilaplan-tutorial-merge-dtm-tiles

en:
Resource Title: View video on youtube!
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    Format: No Info
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    Description:

en:
Resource Title: DHM-Kacheln zusammenfügen
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    Format: video/mp4
    URL: https://www.envidat.ch/dataset/15cd0733-843f-4491-9998-f437b4cc1df4/resource/ba9ff01f-f7b8-4b35-957d-ff35889a7979/download/seilaplan_tutorial_3_virtuellesraseter.mp4
    Description:

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

geodata-processing

display_name: geodata-processing

raster-processing

display_name: raster-processing


en: We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.

en: iucn climate-variablity sdm generalized-additive-models range-maps species-distribution-models mammals reptiles amphibians niche-models chelsa random-forests generalized-linear-models interannual-climate-variability

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: Global species distributions for mammals, reptiles, and amphibians

envi

en: Environment

en:
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    Description: File containing the climate predictors as SAGA grid files (.sgrd)

en:
Resource Title: Mammals
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    Format: application/zip
    URL: https://envicloud.os.zhdk.cloud.switch.ch/doi/envidat.354/mammals.zip
    Description: Species distribution models based on different climate predictor groups

en:
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    Description: File containing the record dimension, genus, and species of the respective netcdf files

format: TXT

media_type: text/plain

en:
Resource Title: Reptiles
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    Description: Species distribution models based on different climate predictor groups

en:
Resource Title: mammals_metadata
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    Description: File containing the record dimension, genus, and species of the respective netcdf files

en:
Resource Title:
    Size: 4848 bytes
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en:
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    Description: File containing the record dimension, genus, and species of the respective netcdf files

en:
Resource Title: Amphibians
    Size: 1181116006 bytes
    Format: application/zip
    URL: https://envicloud.os.zhdk.cloud.switch.ch/doi/envidat.354/amphibians.zip
    Description: Species distribution models based on different climate predictor groups

amphibians

display_name: amphibians

chelsa

display_name: chelsa

climate-variablity

display_name: climate-variablity

generalized-additive-models

display_name: generalized-additive-models

generalized-linear-models

display_name: generalized-linear-models

interannual-climate-variability

display_name: interannual-climate-variability

iucn

display_name: iucn

mammals

display_name: mammals

niche-models

display_name: niche-models

random-forests

display_name: random-forests

range-maps

display_name: range-maps

reptiles

display_name: reptiles

sdm

display_name: sdm

species-distribution-models

display_name: species-distribution-models


en:
When snow is compressed with a certain speed, micro-snowquakes are triggered in the porous structure of bonded crystals. The present dataset covers uniaxial compression experiments of snow at different strain rates and concurrent X-ray tomography imaging documenting this feature.
The experiments were conducted in a micro-compression stage operated in the X-ray tomography scanner in the SLF cold laboratory. The dataset comprises the compression force data of 17 compression experiments, the 3D image data from 4 X-ray tomography scans and the results of numerical simulations.

en: compression-experiments snow snow-mechanics microstructure x-ray-tomography

envidat

en: EnviDat: the Environmental Data Portal

en: Compressive stick slip and snow-micro-quakes

compression-experiments

display_name: compression-experiments

microstructure

display_name: microstructure

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

x-ray-tomography

display_name: x-ray-tomography


en:
For the investigation of microstructural and mechanical properties of snow unconfined compression experiments and 3D computed tomography (CT) imaging were performed on sintered rounded grain snow and spherical model snow. The spherical model snow was generated to create geometrically simplified, well-defined microstructures for calibration of numerical models, such as discrete element models (DEM) in which the microstructure is represented by spherical particles.
In the experiments, microstructural variation was created by varying the sintering time (contact size) and the density of the ice sphere samples (number of contacts). The 3D CT images allow for a complete reconstruction of the entire experimental sample (cylindrical sample dimension: diameter = 33.6 mm; height = 14 mm).

en: spherical-model-snow microstructure 3d-ct-images discrete-element-modelling unconfined-compression-experiments snow-mechanics

en: Unconfined compression experiments and 3D CT images of spherical model snow and RG snow samples

en:
Resource Title: Data Access
    Size: 161061273600 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.83/3dct/Data/
    Description:

en:
Resource Title: Data Structure (Python Notebook)
    Size: 335872 bytes
    Format: application/x-ipynb+json
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.83/3dct/Data_Structure.ipynb
    Description:

en:
Resource Title: README.txt
    Size: 1925 bytes
    Format: text/plain
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.83/3dct/readme.txt
    Description:

discrete-element-modelling

display_name: discrete-element-modelling

spherical-model-snow

display_name: spherical-model-snow

unconfined-compression-experiments

display_name: unconfined-compression-experiments


en:
This dataset provides 50 years of seasonal synthetic hourly time series for five meteorological variables: incoming shortwave radiation, total precipitation, relative humidity, 2-meter air temperature and wind speed.
The data are generated from observational records (1990–present) from nine MeteoSwiss stations (ABO, BAS, BER, LUG, PUY, SCU, SIO, STG, WFJ). We use a sampling approach that preserves both the temporal structure and inter-variable dependencies. Specifically, the time series are constructed by drawing 7-day blocks from historical observations, ensuring realistic short-term variability and maintaining the physical coherence between variables.
The synthetic sequences are constrained to follow daily temperature change trajectories corresponding to three future climate scenarios for the period 2040–2070: RCP2.6, RCP8.5 and RCP0: a counterfactual scenario with no long-term warming trend, but with temperature variability consistent with the RCP2.6 one.
The temperature constraints are derived from projections downscaled at the staiton level, available at: https://www.envidat.ch//metadata/climate-change-scenarios-at-hourly-resolution

en: meteo-station shortwave-radiation relative-humidity speed2zero air-temperature climate-change time-series precipitation wind-speed

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: Meteorological Time Series Aligned with Projected Temperature Changes

envi

en: Environment

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

meteo-station

display_name: meteo-station

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

shortwave-radiation

display_name: shortwave-radiation

time-series

display_name: time-series

wind-speed

display_name: wind-speed


en:
Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings.
FORECOMON 2021 - the 9th forest ecosystem monitoring conference.
7-9 June 2021, WSL, Birmensdorf, Switzerland
The goal of FORECOMON 2021 is to highlight the extensive ICP Forests data series on forest growth, phenology and leaf area index, biodiversity and ground vegetation, foliage and litter fall, ambient air quality, deposition, meteorology, soil and crown condition. We combine novel modeling and assessment approaches and integrate long-term trends to assess air pollution and climate effects on European forests and related ecosystem services. Latest results and conclusions from local scale to European scale studies will be presented and discussed.
Copyright © 2021 by WSL, Birmensdorf
The authors are responsible for the content of their contribution.

en: forest long-term-monitoring air-pollution long-term-forest-ecosystem-research monitoring

en: Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings. FORECOMON 2021 - the 9th forest ecosystem monitoring conference. 7–9 June 2021, Birmensdorf, Switzerland

en:
Resource Title: Deprecated version 1.0
    Size: 2699168 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/6c2c3d5b-8b2f-4c7b-b996-46df4ccf2b20/resource/1928196d-5fee-48c1-9b30-66362abf2045/download/icp_abstractband_web.pdf
    Description: First version of the proceedings containing errors. This early version it is kept, for traceability purposes, in conformance with DOI rules.

format: PDF

media_type: application/pdf

en:
Resource Title: FORECOMON – Proceedings
    Size: 2920688 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/6c2c3d5b-8b2f-4c7b-b996-46df4ccf2b20/resource/ab0b32ad-43fa-41c3-93bd-68b6d6b7e4e7/download/abstractband_a4_forecomon_vrs14.pdf
    Description: Latest version

en:
Resource Title: Link to Proceedings in DORA WSL
    Size: 1 bytes
    Format: No Info
    URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A27202
    Description:

air-pollution

display_name: air-pollution

forest

display_name: forest

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

long-term-monitoring

display_name: long-term-monitoring

monitoring

display_name: monitoring


en:
In 2000, a permanent forest plot of 10 ha has been established in the core zone of the primeval beech forest of Uholka.
 All living and dead trees with a diameter at breast height (DBH) ≥ 60 mm were identified to species, DBH measured, stems tagged and mapped.
Since then, the plot has been remeasured in 2005, 2010, and 2015. In total, 4,820 individual trees were measured with 14,116 individual measurements throughout all four inventories.
In spring 2018, an Airborne Laser Scan was carried out, covering the Uholka‐Shyrokyi Luh forest. This data set allows us to derive a high‐resolution digital elevation model (DEM) of the plot area.
The data set allows for important insights into the development and the spatial and temporal dynamics of primeval beech forests.
The detailed dataset description can be found in Stillhard et. al (2019): https://doi.org/10.1002/ecy.2845

en: forest-dynamics primeval-beech-forest stand-inventory-data forest long-term-data-sets carpathian-biosphere-reserve dem forest-structure permanent-forest-plot-data fagus-sylvatica

envidat

en: EnviDat: the Environmental Data Portal

en: Stand inventory data from the 10‐ha forest research plot in Uholka, Ukraine

carpathian-biosphere-reserve

display_name: carpathian-biosphere-reserve

dem

display_name: dem

fagus-sylvatica

display_name: fagus-sylvatica

forest-dynamics

display_name: forest-dynamics

forest-structure

display_name: forest-structure

long-term-data-sets

display_name: long-term-data-sets

permanent-forest-plot-data

display_name: permanent-forest-plot-data

primeval-beech-forest

display_name: primeval-beech-forest

stand-inventory-data

display_name: stand-inventory-data


en:
Here debrisInterMixing until version 7 is provided for download. Further versions as well as installation instructions and tutorials and discussion forums (mostly in german) can be acessed at murgang.org (choose "als Gast anmelden" and then scroll to the bottom). The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.
For a recent summary on applications see the DFHM8 contribution at https://www.e3s-conferences.org/articles/e3sconf/abs/2023/52/e3sconf_dfhm82023_02024/e3sconf_dfhm82023_02024.html - DOI: https://doi.org/10.1051/e3sconf/202341502024
UPDATE: DebrisInterMixing for OpenFOAM-7 is available, please contact albrecht.vonboetticher@wasserbau.ch. DebrisInterMixing with OpenFOAM-10 is ready but not yet validated.

en: natural-hazard murgang dberisintermixing debris-flow finite-volumes barrier-impact-simulation hangmuren interfoam shallow-landslide

en: Three-dimensional debris flow simulation tool debrisInterMixing

en:
Resource Title: Installation Instructions debrisInterMixing4
    Size: 79243 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/7f80b14c-152e-4494-900a-9470e6d13520/download/readme_debrisintermixing4.pdf
    Description: These are the installation instructions for debrisInterMixing4

en:
Resource Title: debrisInterMixing-6
    Size: 1760632 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/3fdfc2a4-d1ac-43ba-9397-0e338705a6d3/download/debrisintermixing-6.zip
    Description: debrisInterMixing for OF-Version 6

en:
Resource Title: debrisInterMixing-4
    Size: 4350780 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/e72d9355-3bc9-4fd6-8945-1609f5370d56/download/debrisintermixing4x.zip
    Description: This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

en:
Resource Title: ReadMe_debrisInterMixing7.pdf
    Size: 147007 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/89031478-a175-4a3a-8930-935f8db6a7c8/download/readme_debrisintermixing7.pdf
    Description: Please install OpenFOAM 7 on a UBUNTU Linux system following the instructions given in readme_debrisintermixing-7.pdf
After a successful OpenFOAM installation, copy the applications-Folder from putMyContent-.zip into the OpenFOAM-User directory and follow the instructions in readme_debrisintermixing-7.pdf  to install debrisInterMixing 7.

If you use UBUNTU 24-04 you might have troubles getting openmpi, I attached a modifiesd instruction installtionOF7Ubuntu20.04.5LTS.txt for a workaround.

en:
Resource Title: putMyContentInFolderUsername-7.zip
    Size: 3777290 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/8fa5bf42-7a29-4784-be49-a378b25d213b/download/putmycontentinfolderusername-7.zip
    Description:

en:
Resource Title: Installation Instructions for debrisInterMixing-6
    Size: 144462 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/7fa56c27-61f3-4eaa-b150-b07d561e5c34/resource/671a3da0-326e-4fcb-8bcb-d2080afa6b27/download/readme_debrisintermixing6.pdf
    Description: These are the installation instructions for debrisInterMixing6

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide


urban-birds-point-counts-data

en:
The study area included the cities of Basel, Lugano and Zurich. The sampling design reflected four main city districts related to four categories of tree cover (Figure 1): 1) industrial/commercial areas, 0-20% tree cover; 2) residential areas, 20-40% tree cover; 3) urban parks and cemeteries, 40-60% tree cover; 4) peri-urban forests (natural/semi-natural forests), 60-100% tree cover. The tree cover gradient was evaluated across a square grid with a square side length of 100 m. For each square, we evaluated the area covered by urban trees using the Urban Atlas Street Tree Layer 2018 (European Union’s Copernicus Land Monitoring Service information, 2021).
In each city, we established eight transects of 1.2 km, two for each tree cover category. Transects crossed contiguous grid squares belonging to the same tree cover categories as much as possible. We performed aural-visual point counts of birds every 200 m along each transect (six points per transect) during the breeding season (April-June 2024) (Bibby et al., 2000). The transects were walked at the time of highest activity of birds, which is from thirty minutes after sunrise until 4 hours later. Each transect was walked twice, 20-60 days apart, to account for imperfect detection of birds and sample completeness (Balestrieri et al., 2017; Kéry et al., 2005).

en: urban environmental-gradients spatially-distributed-sampling periurban birds biodiversity

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: Urban birds point counts data

title_for_slug: urban-birds-point-counts-data

envi

en: Environment

format: XLS

biodiversity

display_name: biodiversity

birds

display_name: birds

environmental-gradients

display_name: environmental-gradients

periurban

display_name: periurban

spatially-distributed-sampling

display_name: spatially-distributed-sampling

urban

display_name: urban


en: This dataset comprises environmental and insect larval data from 24 artificial dendrotelms (water-filled tree holes) created in beech trees (Fagus sylvatica) in six old-growth forest patches connecting two forest nature reserves in the Steigerwald in Germany.

en: insects invertebrates germany fagus-sylvatica european-beech old-growth-islands forest water-filled-tree-holes diversity steigerwald body-size dendrotelms trems stepping-stones metacommunity

en:
Resource Title: Community.xlsx
    Size: 10640 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/19176372-9c60-444d-8281-aebd949d273a/resource/2d154092-cce2-4fa1-9112-61a176ed3777/download/community.xlsx
    Description: Dataset on sampled invertebrate communities

en:
Resource Title: Environmental.csv
    Size: 5547 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/19176372-9c60-444d-8281-aebd949d273a/resource/587806e5-b705-40a8-a9d6-af760617c2de/download/environmental.csv
    Description: Dataset with environmental data

en:
Resource Title: Individuals.xlsx
    Size: 124438 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/19176372-9c60-444d-8281-aebd949d273a/resource/77bf43a7-783d-46bd-8b6c-56595131be9b/download/individuals.xlsx
    Description: Dataset on body-length measures of all sampled individuals

body-size

display_name: body-size

dendrotelms

display_name: dendrotelms

diversity

display_name: diversity

european-beech

display_name: european-beech

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

germany

display_name: germany

insects

display_name: insects

invertebrates

display_name: invertebrates

metacommunity

display_name: metacommunity

old-growth-islands

display_name: old-growth-islands

steigerwald

display_name: steigerwald

stepping-stones

display_name: stepping-stones

trems

display_name: trems

water-filled-tree-holes

display_name: water-filled-tree-holes


en:
We established our study sites in the cities of Basel, Lugano and Zurich. We characterised urban tree cover of each city using a rectangular grid with squares of 100x100 m. Within each square, we measured the area covered by urban trees using the European Union's Copernicus Land Monitoring Service information, Urban Atlas Street Tree Layer 2018 [https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c](https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c).
Then we assigned each square to three categories of urban tree cover that roughly represented the main types of urban uses:
1) low cover, industrial/commercial areas, 0-20% tree cover;
2) intermediate cover, residential areas, 20-40% tree cover;
3) high cover, urban parks and cemeteries, 40-60% tree cover.
-br/--br/-
We measured bird predation rate on the non-native insect larvae of the horse chestnut leaf miner (HCLM) Cameraria ohridella, an invasive moth that lays eggs and completes its larval and pupal development stages within the leaves of the horse chestnut Aesculus hippocastanus. The larvae feed on leaf fluids and tissue while creating mines within the leaf, which ultimately results in early leaf browning and loss of photosynthetic activity. We collected roughly ten twigs from each tree, including five twigs from the inner and five from the outer crown. Each twig carried 2-4 leaves, for a total of 3408 leaflets. Leaves were stored for ~10 weeks in a refrigerated room at 4 degrees C. We checked all HCLM mines using a stereo microscope and distinguished among open and close mines.
Open mines were further divided based on the opening hole, whether it was a small round exit hole of the larva or the parasitoid, or an irregularly shaped, large bird predation hole.

en: urban-ecology insect-herbivores larvae insects plant-insect-interaction birds urban-biodiversity biodiversity

envidat

en: EnviDat: the Environmental Data Portal

en: Urban bird predation on horse chestnut leaf miner Cameraria ohridella in three Swiss cities

en:
Resource Title: Urban_Birds_predation_HCLM.xlsx
    Size: 838701 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/529759b5-c550-42b9-94e1-b982afcebfb9/resource/46ed81e5-5d88-410a-ab27-1e4085783bc1/download/urban_birds_predation_hclm.xlsx
    Description:

en:
Resource Title: Urban_Birds_predation_HCLM.xlsx
    Size: 838540 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/529759b5-c550-42b9-94e1-b982afcebfb9/resource/ed64e814-87d3-4166-bad2-6da29fc75b7a/download/urban_birds_predation_hclm.xlsx
    Description:

biodiversity

display_name: biodiversity

birds

display_name: birds

insect-herbivores

display_name: insect-herbivores

larvae

display_name: larvae

plant-insect-interaction

display_name: plant-insect-interaction

urban-biodiversity

display_name: urban-biodiversity

urban-ecology

display_name: urban-ecology


en:
We established our study sites in the cities of Basel, Lugano and Zurich, and their peri-urban forests. We characterised urban tree cover of each city using a rectangular grid with squares of 100x100 m. Within each square, we measured the area covered by urban trees using the European Union's Copernicus Land Monitoring Service information, Urban Atlas Street Tree Layer 2018 [https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c](https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c).
Then we assigned each square to four categories of urban tree cover that roughly represented the main types of urban uses:
1) low cover, industrial/commercial areas, 0-20% tree cover;
2) intermediate cover, residential areas, 20-40% tree cover;
3) high cover, urban parks and cemeteries, 40-60% tree cover;
4) peri-urban forests (natural/semi-natural forests), 60-100% tree cover.
-br/--br/-
Our study sites consisted of eight 1.2 km-long transects in each city, equally distributed across the four tree cover categories.  We designed an experimental measurements of bird predation rate on herbivore insect larvae using artificial caterpillars. They mimicked a variety of common, cryptically-coloured herbivorous species, which are usually preyed by birds. We designed caterpillars with green water-resistant modelling clay (Staedtler Noris®), 4-6 cm long and approximately 0.5 cm wide. Caterpillars were threaded to a thin (Ø = 0.6 mm) zinc-plated iron wire and tethered to branches of trees or bushes at a height up to 2 m from the ground. We placed 2-4 caterpillar mimics every 200 m along each transect (five points per transect) or, when not possible due to absence of suitable branches, within 200 m from the point.
In total, we placed 270 caterpillar mimics at 115 points during the late breeding season (June-July 2023). Caterpillar mimics were checked after 10-14 days and replaced with new ones at new locations within 10 m from the previous ones. During each of the two visits, we counted the number of bird predation marks.

en: periurban birds urban-biodiversity biodiversity biodiversity-experiment urban-ecology urban insect-herbivores pest-invasion

en: Urban bird predation on artificial caterpillars

biodiversity-experiment

display_name: biodiversity-experiment

periurban

display_name: periurban

pest-invasion

display_name: pest-invasion

urban

display_name: urban


en:
We captured birds in urban parks and peri-urban forests in the cities of Lugano and Zurich. The urban sites were located in an urban forest (Lugano) and in a cemetery (Zurich), and the bird assemblages were comparable with those of the surrounding forests.
We captured individual birds during sessions lasting multiple days using mist-nets, concentrating the activities within 3-4 hours after sunrise and before sunset. We extracted birds from nets using single-use nitrile gloves and gently wiped their body parts with a dry foam swab MW940 (Medical Wire & Equipment), which was then placed in a screw-capped tube (2 ml), which was previously filled with 1 ml ethanol puriss. (Sigma-Aldrich) under sterile conditions.Then, we marked each bird with an alphanumeric leg band, identified the species, determined the sex and age whenever possible, measured for relevant biometrics (e.g. wing chord), the amount of body fat and pectoral muscle (i.e. body condition), and weighed.
Afterwards, we placed each bird in a disposable paper bag within a cotton bag that ensured respiration and left it for few minutes in a safe and calm place to allow for defecation and the collection of faecal samples. The faecal sample was collected from insectivorous and omnivorous birds, and few granivorous birds that are known to occasionally eat invertebrates, such as the house sparrow Passer domesticus.
After releasing the bird, we stored the faecal sample in a screw-capped tube (2 ml), which was previously filled with 1 ml ethanol puriss. (Sigma-Aldrich) under sterile conditions. We wore single-use nitrile gloves and used sterile toothpicks to collect solid samples. The tubes were initially stored in the refrigerator during the field campaign and no later than seven days after collection at -20°C until prepared for DNA extraction.
DNA extraction and library preparation was performed at WSL Phytopathology facilites, Sequencing was performed at Lausanne Genomic Technologies Facility (University of Lausanne; [https://wp.unil.ch/gtf/](https://wp.unil.ch/gtf/)) on an AVITI benchtop sequencing system (Element Biosciences). Bioinformatics was performed at the Genetic Diversity Center (ETH Zurich) using a custom pipeline.

en: urban-biodiversity birds biodiversity urban-ecology fungal-pathogen fungi urban insects

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: Urban bird capture data with prey species and fungal community

fungal-pathogen

display_name: fungal-pathogen

fungi

display_name: fungi

insects

display_name: insects


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

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

en: Soil microbial diversity and multifunctionality across European biomes

envi

en: Environment

en:
Resource Title: Han_et_al_GCB_2025.xlsx
    Size: 41152 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/81f8917a-95b6-45c3-a6bb-3385eaf8dddf/resource/2df1e8b4-e021-4d64-85b0-ba2c325986f1/download/han_et_al_gcb_2025.xlsx
    Description: Metadata, soil properties and soil microbial functions for each sites across the European gradient.

en:
Resource Title: ITS_Han et al_EUgradient.xlsx
    Size: 1132688 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/81f8917a-95b6-45c3-a6bb-3385eaf8dddf/resource/36dfe0f2-3d72-4ba8-ae37-48185214682a/download/its_han-et-al_eugradient.xlsx
    Description: Diversity of fungi (ITS region sequencing) containing: 1) ASV (Amplicon Sequence Variants) table: abundance of ASV in each sample and 2) Taxonomy table: taxonomic classification of each ASV.

en:
Resource Title: 16S_Han et al_EUgradient.xlsx
    Size: 1592467 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/81f8917a-95b6-45c3-a6bb-3385eaf8dddf/resource/f90ec77d-30a1-4e2f-a763-688f7f011013/download/16s_han-et-al_eugradient.xlsx
    Description: Diversity of prokaryotes (16S gene sequencing) containing: 1) ASV (Amplicon Sequence Variants) table: abundance of ASV in each sample and 2) Taxonomy table: taxonomic classification of each ASV.

latitudinal-gradient

display_name: latitudinal-gradient

microbial-biodiversity

display_name: microbial-biodiversity

prokaryotes

display_name: prokaryotes

soil-microbiome

display_name: soil-microbiome

soil-mulitfunctionality

display_name: soil-mulitfunctionality


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

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

envidat

en: EnviDat: the Environmental Data Portal

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

en:
Resource Title: (d) LES-LM_main_results.zip
    Size: 22963814 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_main_results.zip
    Description: Main results of the LES-LM simulations. We do not provide the complete raw output of the simulations because of the large amount of data. For example, the three-dimensional fields of wind velocity components, air temperature and specific humidity are only provided in horizontally averaged form.

en:
Resource Title: (c) LES-LM_code_settings.zip
    Size: 38912 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_code_settings.zip
    Description: Simulation-specific settings (part of the LES-LM source code).

en:
Resource Title: (f) LES-LM_particles_case_2.Rdata
    Size: 1288490189 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_particles_case_2.Rdata
    Description: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 2.

en:
Resource Title: (h) LES-LM_particles_case_3b.Rdata
    Size: 2040109466 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_particles_case_3b.Rdata
    Description: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3b.

en:
Resource Title: (g) LES-LM_particles_case_3a.Rdata
    Size: 2147483648 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_particles_case_3a.Rdata
    Description: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 3a.

en:
Resource Title: (j) Turbulence_measurements_case_1.txt
    Size: 1258291 bytes
    Format: text/plain
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/Turbulence_measurements_case_1.txt
    Description: Post-processed high-frequency measurements used to plot turbulence cospectra (data underlying Figure S2 of the related publication). Further measurements are published in a related dataset (Sigmund et al., 2021).

en:
Resource Title: (e) LES-LM_particles_case_1.Rdata
    Size: 1036936806 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/LES-LM_particles_case_1.Rdata
    Description: Properties of individual drifting and blowing snow particles in the LES-LM simulation of Case 1.

en:
Resource Title: (b) Data_of_figures.zip
    Size: 51098 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/Data_of_figures.zip
    Description: Folder containing the data (csv files) visualized in figures of the related publication. The filenames specify the respective figure(s). However, data shown in Figures S5 and S6 are included in data resource (d).

en:
Resource Title: (i) 1D_model_code.zip
    Size: 29082 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/1D_model_code.zip
    Description: Source code of the 1D model (R scripts).

en:
Resource Title: (k) Postprocessing_code.zip
    Size: 417382 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/Postprocessing_code.zip
    Description: R scripts used to post-process the results of the LES-LM model and 1D model and produce the figures.

en:
Resource Title: (a) Readme.pdf
    Size: 418202 bytes
    Format: application/pdf
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.645/Readme.pdf
    Description: Meta data for the whole dataset including a link to the LES-LM source code.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

parameterization

display_name: parameterization

snow-sublimation

display_name: snow-sublimation

turbulence

display_name: turbulence


en: The TypoCH scoring system (Eggenberg & Bornand 2023), which is widely used in Switzerland, provides good results as classification method for vegetation types based on Delarze et al. (2015). However, the reference list contained species with no diagnostic value and important character species were missing. We therefore made a first attempt to modify the list based on numerical methods and expert knowledge to improve the classification success, at least for vegetation types of the open land (i.e. grasslands, fens, bogs).

en: character-species diagnostic-species typoch vegetation-type vegetation-classification phytosociology

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: Modified TypoCH reference list of diagnostic species for the classification of vegetation types in Switzerland

envi

en: Environment

en:
Resource Title: How the TypoCH list was modified.pdf
    Size: 77776 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/bcf50c9d-3b31-4aa7-a774-57a8f6f60ed7/resource/aa2096a9-b20b-4ca8-a586-84fea79930e6/download/how-the-typoch-list-was-modified.pdf
    Description: Describes details on the modification procedure to improve the TypoCH reference list.

en:
Resource Title: TypoCH_modified list.csv
    Size: 496727 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bcf50c9d-3b31-4aa7-a774-57a8f6f60ed7/resource/47adb4a8-f089-4622-b525-6dff0da104d9/download/typoch_modified-list.csv
    Description: The file contains the vegetation types and the modified list of diagnostic species (based on Delarze et al. (2015). The numbers indicate the weight of a species in the particular vegetation type for the calculation of the TypoCH score:
1) accompanying species -> 1 point
2) dominant accompanying species (if >10% cover in the plot) -> 2 points
3) character species -> 4 points
4) dominant character species (if >10% cover in the plot) -> 8 points

format: CSV

media_type: text/csv

character-species

display_name: character-species

diagnostic-species

display_name: diagnostic-species

phytosociology

display_name: phytosociology

typoch

display_name: typoch

vegetation-classification

display_name: vegetation-classification

vegetation-type

display_name: vegetation-type


en:
The dataset comprises the time series of overland flow (OF) and topsoil interflow (TIF) discharges from 14 small runoff plots (1 x 3 m) over 27 rainfall events in 2022 across the Studibach in the Alptal, a typical pre-Alpine catchment in Switzerland.
The runoff plots were installed on different topographic indices and vegetation covers in order to study the spatio-temporal variability of OF and TIF.
The runoff was collected into self-made "Upwelling Bernoulli Tubes" and the water level inside these tubes was measured by pressure sensors (DCX-22-CTD, Keller Druck, Switzerland) at a 5-min resolution. The discharge was derived from the water level.
The precipitation was measured with a tipping bucket at the Erlenhöhe meteorological station and has a 10-min resolution.

en: topsoil-interflow overland-flow time-series rainfall runoff plot land alptal studibach

envidat

en: EnviDat: the Environmental Data Portal

en: Overland and topsoil interflow time series from the Studibach - summer 2022

alptal

display_name: alptal

land

display_name: land

overland-flow

display_name: overland-flow

plot

display_name: plot

rainfall

display_name: rainfall

runoff

display_name: runoff

studibach

display_name: studibach

time-series

display_name: time-series

topsoil-interflow

display_name: topsoil-interflow


en:
We captured birds in urban parks and peri-urban forests in the cities of Lugano, Zurich (Switzerland) and Napoli (Italy). The urban sites were located in urban forests (Lugano, Napoli) and in a cemetery (Zurich). Bird faecal samples were stored in a screw-capped tube (2 ml), which was previously filled with 1 ml ethanol puriss. (Sigma-Aldrich) under sterile conditions. We wore single-use nitrile gloves and used sterile toothpicks to collect solid samples. The tubes were initially stored in the refrigerator during the field campaign and no later than seven days after collection at -20°C until prepared for DNA extraction.
DNA extraction and library preparation was performed at WSL Phytopathology facilites, Sequencing was performed at Lausanne Genomic Technologies Facility (University of Lausanne; https://wp.unil.ch/gtf/) on an AVITI benchtop sequencing system (Element Biosciences). Bioinformatics was performed at the Genetic Diversity Center (ETH Zurich) using a custom pipeline.

en: trophic-networks birds urban-biodiversity arthropoda dna-metabarcoding

en: Metabarcoding of urban and forest bird faecal samples

en:
Resource Title: p1126_run241028_COX_Results.zip
    Size: 2212086849 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c4d366dc-23db-4666-b153-09a99d04f2e1/resource/efaee256-d129-405a-860e-fd508ba0bb29/download/p1126_run241028_cox_results.zip
    Description: Raw data including fasta files, OTU counts and taxonomic assignments.

en:
Resource Title: p1126_run241028_COX_Reports.zip
    Size: 379931 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c4d366dc-23db-4666-b153-09a99d04f2e1/resource/1a9abe30-411a-499d-b49d-bac5405c601a/download/p1126_run241028_cox_reports.zip
    Description: Bioinformatic report.

arthropoda

display_name: arthropoda

birds

display_name: birds

dna-metabarcoding

display_name: dna-metabarcoding

trophic-networks

display_name: trophic-networks

urban-biodiversity

display_name: urban-biodiversity


en:
General description
Data associated with the publication "CRISPR-Dx and metabarcoding perform similarly for monitoring mammals with eDNA on the catchment level in high-alpine ecosystems".  The data set contains the cleaned metabarcoding reads per site/catchment, the CRISPR-Dx detection per species and site, the site coordinates and a species checklist obtained from the Swiss National Park with the species known to occur at the sampling time point in the respective catchments.
 Authors
Flurin Leugger, Martina Lüthi, Michel Schmidlin, Sarah Marie-Antoine Turnheer, Zacharias Kontarakis and Loïc Pellissier
 Contact
flurinleugger@gmail.com
loic.pellissier@usys.ethz.ch
 Project description
We collected eDNA samples in the Swiss National Park in September 2022 using VigiDNA filters. We extracted the samples in the clean lab at ETH using a modified extraction protocol of Pont et al. (2018). We used the Mamm01 primer (Tabarlet et al. 2018) for metabarcoding and for CRISPR analysis. We applied CRISPR-Dx for eight species occurring in the Swiss National Park. Additionally, we compared the eDNA detections to species inventories per catchment obtained from the Swiss National Park. See publication for more details.
 Folders
 catchments
Shape file containing the catchments sampled in the Swiss National Park.
 metadata
Folder containing files with overview of site names and extract number. Second file with metadata per site (e..g., sampling date). Column called "EVS" (Environmental sample) is the key between the two files.
 data
Folder containing a folder for eDNA and species_inventory (traditional monitoring), respectively.
 eDNA folder
CRISPR_classifications.csv: CRISPR-Dx classifications per extract (and PCR pool).
metabarcoding_seqs_all_cleaned.csv: all DNA sequences from metabarcoding after removing all sequences found in the negative controls.
 species_inventory
Species per catchment reported by the Swiss National Park, based on traditional monitoring including. visual surveys and other opportunistic records. 2: known presence in 2022, 1: maybe present in 2022, 0: not recorded in 2022

en: mammals crispr-dx edna metabarcoding dna-metabarcoding national-park catchment

en: Application of CRISPR-Dx and metabarcoding to catchment-level eDNA for terrestrial mammal detection

en:
Resource Title: Readme.txt
    Size: 1811 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/7927cfd4-2861-434a-bdd3-0c3790fab6e4/resource/9aa5d934-729d-43a3-9c9f-7294dc8aa2b3/download/readme.txt
    Description: Read me file with information about files within this repository

en:
Resource Title: data.zip
    Size: 6818 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7927cfd4-2861-434a-bdd3-0c3790fab6e4/resource/658a31d4-24d1-40f3-8468-e605c56a5dda/download/data.zip
    Description: Folder containing a folder for eDNA and species_inventory (traditional monitoring), respectively.
eDNA folder:
CRISPR_classifications.csv: CRISPR-Dx classifications per extract (and PCR pool).
metabarcoding_seqs_all_cleaned.csv: all DNA sequences from metabarcoding after removing all sequences found in the negative controls.
species_inventory: species per catchment reported by the Swiss National Park, based on traditional monitoring including. visual surveys and other opportunistic records. 2: known presence in 2022, 1: maybe present in 2022, 0: not recorded in 2022

en:
Resource Title: metadata.zip
    Size: 1102 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7927cfd4-2861-434a-bdd3-0c3790fab6e4/resource/3e9d98d5-8dcf-4531-bb15-04bf3863563e/download/metadata.zip
    Description: Folder containing files with overview of site names and extract number. Second file with metadata per site (e..g., sampling date). Column called "EVS" (Environmental sample) is the key between the two files.

en:
Resource Title: catchments.zip
    Size: 6475 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7927cfd4-2861-434a-bdd3-0c3790fab6e4/resource/f7e73ace-23c5-486b-a93e-74fb19488032/download/catchments.zip
    Description: Shape file containing the catchments sampled in the Swiss National Park

catchment

display_name: catchment

crispr-dx

display_name: crispr-dx

edna

display_name: edna

mammals

display_name: mammals

metabarcoding

display_name: metabarcoding

national-park

display_name: national-park


en:
Traditional methods of biodiversity monitoring are often logistically challenging, time-consuming, require experienced experts on species identification and sometimes include destruction of the targeted specimens. Here, we investigated a non-invasive approach of combining the use of drones and environmental DNA (eDNA) to monitor insect biodiversity on vegetation.
We aimed to assess the efficiency of this novel method in capturing insect diversity and comparing insect composition across different vegetation types (grassland, shrub, and forest) in Switzerland. A commercial, off-the-shelf drone was equipped with a specialised probe that autonomously swabbed vegetation and collected eDNA. Then, samples were processed using rapid third-generation Oxford Nanopore sequencing. The obtained data were analysed for insect diversity, comparing taxonomic richness, evenness and community composition across the three habitat types using statistical techniques. Sequencing of the samples yielded 76 hexapods taxa, revealing an insect community with notable differences in taxonomic richness but not in evenness across grassland, shrub, and forest habitats.
Our study demonstrates the potential of drone-based sampling integrated with eDNA and nanopore sequencing for biodiversity monitoring, offering a non-destructive method for detecting insect occurrence on plant surfaces. Integrating robotics and eDNA technology provides a promising solution for fast, large-scale, non-invasive biodiversity monitoring, potentially improving conservation efforts and ecosystem management.

en: switzerland ins16s edna minion insect drone

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: Robot-aided measurement of insect diversity on vegetation using environmental DNA

envi

en: Environment

drone

display_name: drone

insect

display_name: insect

minion

display_name: minion

switzerland

display_name: switzerland


en:
This repository contains data related to the field experiments of the RESTORE project. This project is a collaboration between the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and the Swiss Federal Laboratories for Materials Science & Technology (EMPA). It has received funding from the Swiss National Science Foundation. The overall objective of the RESTORE project was to assess the effects of green spaces as facilitators and noise as impediment to recover from stress in people's daily environments across Switzerland.
We conducted a randomized, controlled field study to compare the psychophysiological benefits of exposure to forests and urban built environments with different levels of road traffic noise in healthy adults during 30-minute walks in Zürich, Switzerland to explore:
1) The psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure
2) The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world
3) The effects of a mindful walking intervention in urban forests for healthy adults
Accordingly, this repository includes data and documentation for the 3 scientific articles:
Scientific article 1. “Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: study protocol of a randomized controlled trial", BMC Psychology, 2024. https://doi.org/10.1186/s40359-024-01720-x
Scientific article 2. "Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial“. Journal of Environmental Psychology, 2025.
Scientific article 3. “The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world: A randomized controlled trial". To be submitted to PLOS One, 2025.
Scientific article 4: "Effects of a mindful walking intervention in urban forests for healthy adults". To be submitted to Current Psychology, 2025.

en: field-data urban-landscape traffic-noise forest restoration

envidat

en: EnviDat: the Environmental Data Portal

en:
Resource Title: 03b_Studyprotocol_Script_Analysis stationary noise evaluation.sps.sps
    Size: 7156 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/5e018e9b-3ef2-4946-a3fc-d95094e3a0ad/download/03b_studyprotocol_script_analysis-stationary-noise-evaluation.sps.sps
    Description: This SPSS syntax file contains a script for analyzing data related to the stationary evaluation of the acoustic impressions at the test sites, which is numbered 03a in this repository.

format: OCTET

en:
Resource Title: 10_P2P3_Questionnaire_t1.pdf
    Size: 925030 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/f23f8436-97d5-47c8-8ef4-788b85d77149/download/10_p2p3_questionnaire_t1.pdf
    Description: This document includes the questionnaire for Papers 2 and 3, administered at the first measurement time point (before the walk began).

en:
Resource Title: 05_Studyprotocl_Participant consent form.pdf
    Size: 103303 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/cca35a46-b79c-4d2e-8063-03ca1a7c52f4/download/05_studyprotocl_participant-consent-form.pdf
    Description: This file contains the informed consent document that participants signed to participate in the study.

en:
Resource Title: 09_P2_Fotos Noise ROS paper.zip
    Size: 6219160 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/b356ecb1-c0b6-4bb5-8df6-61a6295696e1/download/09_p2_fotos-noise-ros-paper.zip
    Description: This folder included the example pictures of the conditions included in paper 2  ("Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial“).

en:
Resource Title: 07_Studyprotocol_Test site pictures.zip
    Size: 39574345 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/ccb268cb-692e-4051-8710-59add9c23e68/download/07_studyprotocol_test-site-pictures.zip
    Description: This folder includes two pictures of each test site. The locations for the two pictures on each route were chosen to be as characteristic as possible in terms of the visual and acoustical impressions of the walk.

en:
Resource Title: 10_P2P3_Questionnaire_t3.pdf
    Size: 1174475 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/6c4eca4c-4221-4681-a1f1-bba704aa9c60/download/10_p2p3_questionnaire_t3.pdf
    Description: This document includes the questionnaire for Papers 2 and 3, administered at the third measurement time point (10 days after participation on site).

en:
Resource Title: 06_Studyprotocol_GPS tracks of the walking routes.zip
    Size: 30328 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/1f04524c-c476-4fa7-9ca0-6707c86b1966/download/06_studyprotocol_gps-tracks-of-the-walking-routes.zip
    Description: This folder contains the GPS tracks of the walking routes in the test sites.

en:
Resource Title: 11_P4_S1_Instructions for individual mindful walking.pdf
    Size: 26444740 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/85bc4150-32f9-480b-bbfb-d158b3dc74ac/download/11_p4_s1_instructions-for-individual-mindful-walking.pdf
    Description: This document contains the booklet with instructions for mindful walking, which participants in the mindfulness condition were encouraged to take with them and use during their individual walks over the 10 days following on-site participation.

en:
Resource Title: 12_P4_S2_Description of mindful walking intervention on site.pdf
    Size: 20117 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/de768dda-757a-451f-a331-e247dea5ee45/download/12_p4_s2_description-of-mindful-walking-intervention-on-site.pdf
    Description: This file includes the guided mindful walking instructions provided to participants in the mindfulness condition during the on-site walks.

en:
Resource Title: 13_P4_Data mindful walking.sav
    Size: 514314 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/f47540a6-0876-46df-b9a1-49385dfee573/download/13_p4_data-mindful-walking.sav
    Description: This file contains data for the manuscript "Effects of a mindful walking intervention in urban forests for healthy adults".

en:
Resource Title: 10_P2P3_Questionnaire_t2.pdf
    Size: 1190943 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/e666658c-7a4b-459c-8194-265e76b140a4/download/10_p2p3_questionnaire_t2.pdf
    Description: This document includes the questionnaire for Papers 2 and 3, administered at the second measurement time point (after the walk).

en:
Resource Title: 03a_Studyprotocol_Data on evaluation of acoustic impression of the test settings_Studyprotocol.sav
    Size: 21982 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/2bbb96b2-6470-4f1a-8ef0-5b23c7d4c964/download/03a_studyprotocol_data-on-evaluation-of-acoustic-impression-of-the-test-settings_studyprotocol.sav
    Description: This data file includes information for an additional post hoc classification of the sound environment of the test sites. This evaluation was conducted in the afternoons of the same week in 2023 at two locations within each test site by a civil servant who was not familiar with the study's research questions.

en:
Resource Title: 01_Studyprotocol_Locations of the starting points of the walking routes in the test settings.pdf
    Size: 68897 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/9e531b35-7406-4ffc-acd5-fd78757775ac/download/01_studyprotocol_locations-of-the-starting-points-of-the-walking-routes-in-the-test-settings.pdf
    Description: This document includes GPS coordinates of the starting points of the walking routes in the test sites.

en:
Resource Title: 02_Studyprotocol_Data on Laeq from noise recordings of walking routes_Studyprotocol.sav
    Size: 6067 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/49d0a13e-5a9f-4809-a8cf-4468ea7050b9/download/02_studyprotocol_data-on-laeq-from-noise-recordings-of-walking-routes_studyprotocol.sav
    Description: This data file contains information on the LAeq levels recorded along the final walking routes between September 2021 and March 2022, prior to the commencement of data collection.

en:
Resource Title: 08_P2P3_Restore_WP2_P2P3_used_variables.sav
    Size: 198944 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/b4fd276d-bd46-4917-b0cb-b44c4ff73beb/download/08_p2p3_restore_wp2_p2p3_used_variables.sav
    Description: This SPSS data file includes the data used for analysis in paper 2 (Psychophysiological effects of walking in forests and urban built environments with disparate road traffic noise exposure: A randomized controlled trial) and paper 3 ("The effects of walking in urban forests and urban built environments with disparate road traffic noise exposure on repetitive negative thinking and connectedness with the non-human world: A randomized controlled trial").

en:
Resource Title: 04_Studyprotocol_Participant information sheet.pdf
    Size: 96790 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/dfd6af83-8ea8-4914-a18f-bb1e6ca3d533/resource/7015619c-1cfc-4c66-a512-3a8b1c526f89/download/04_studyprotocol_participant-information-sheet.pdf
    Description: This file includes the information sheet provided to participants before they consented to take part in the study.

field-data

display_name: field-data

forest

display_name: forest

restoration

display_name: restoration

traffic-noise

display_name: traffic-noise

urban-landscape

display_name: urban-landscape


en:
Compilation of normalized crack-propagation speeds (expressed as a fraction of the slab shear-wave speed).
The dataset contains crack-propagation speeds from DEM simulations (79 flat and 6 tilted; Bobillier et al., 2024), MPM simulations (48 flat and 191 tilted; Trottet et al., 2022), and field measurements: PSTs (222 data points, including 192 from low-angle terrain - 30°; van Herwijnen et al., 2016) and avalanche-video analyses (6 cross-slope and 5 down-slope speeds; Trottet et al., 2022).
The dataset also includes Python scripts that generate the relative-frequency distribution of the compiled, normalized crack-propagation speeds.
Bobillier, G., Bergfeld, B., Dual, J., Gaume, J., van Herwijnen, A., 55 and Schweizer, J.: Numerical investigation of crack propagation regimes in snow fracture experiments, https://doi.org/10.1007/s10035-024-01423-5 2024
Trottet, B., Simenhois, R., Bobillier, G., Bergfeld, B., van Herwijnen, A., Jiang, C. F. F., and Gaume, J.: Transi- 55 tion from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches, Nat. Phys., 18, 1094–1098, https://doi.org/10.1038/s41567-022-01662-4, 2022.
van Herwijnen, A., Gaume, J., Bair, E. H., Reuter, B., Birkeland, K. W., and Schweizer, J.: Estimating the effective elastic modulus and specific fracture energy of snowpack layers from field experiments, J. Glaciol., 62, 997–1007, https://doi.org/10.1017/jog.2016.90, 2016a.

en: crack-speed field-data numerical-simulations crack-propagation dry-snow-avalanche weak-layer

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

en: Compilation of normalized  crack propagation speeds

envi

en: Environment

en:
Resource Title: PST_dataNormalizedByc_slopeHigher30deg_data.txt
    Size: 754 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/997b18ab-9e57-469a-b72e-8da079e2bc4f/download/pst_datanormalizedbyc_slopehigher30deg_data.txt
    Description: Field data PST >30deg

en:
Resource Title: NHESS_Fig2.py
    Size: 5481 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/6821e603-5e6c-43b4-ab07-b435fd406321/download/nhess_fig2.py
    Description:

en:
Resource Title: NHESS_Fig2.py
    Size: 5481 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/270844a2-5218-43a6-95f4-7b81eccd6e3f/download/nhess_fig2.py
    Description: Python scripts that generate the relative-frequency distribution of the compiled, normalized crack-propagation speeds.

en:
Resource Title: MPM_dataNormalizedByc_slope_data.txt
    Size: 4966 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/5f43f7ec-28d5-4b0d-b308-78ed4c3084e7/download/mpm_datanormalizedbyc_slope_data.txt
    Description: MPM data slope terrain

en:
Resource Title: DEM_dataNormalizedByc_flat_data.txt
    Size: 2055 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/458d8261-9b42-4f10-9c30-3979046a0e3a/download/dem_datanormalizedbyc_flat_data.txt
    Description: DEM data flat terrain

en:
Resource Title: MPM_dataNormalizedByc_flat_data.txt
    Size: 1248 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/9331f966-5264-425d-9e37-155b0b69fceb/download/mpm_datanormalizedbyc_flat_data.txt
    Description: MPM data flat terrain

en:
Resource Title: PST_dataNormalizedByc_slopeLess30deg_data.txt
    Size: 4992 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/9c7c9f4f-74c1-458e-a01d-c0cdc361fe0b/download/pst_datanormalizedbyc_slopeless30deg_data.txt
    Description: Field data PST <30deg

en:
Resource Title: DEM_dataNormalizedByc_slope_data.txt
    Size: 156 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/78b26ac4-e690-4371-acc1-42611d937d78/download/dem_datanormalizedbyc_slope_data.txt
    Description: DAM data slope terrain

en:
Resource Title: Video_dataNormalizedByc_flat_data.txt
    Size: 156 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/abf2a891-3382-4ca2-82cd-90c30ffb898d/download/video_datanormalizedbyc_flat_data.txt
    Description: Video analyze data cross slope

en:
Resource Title: Video_dataNormalizedByc_slope_data.txt
    Size: 130 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8a7f5d94-91af-463e-aee0-acbfada0b3ec/resource/5aff5cf6-1c1f-4186-bf56-f1e71348016b/download/video_datanormalizedbyc_slope_data.txt
    Description: Video analyze data up-slope

crack-propagation

display_name: crack-propagation

crack-speed

display_name: crack-speed

dry-snow-avalanche

display_name: dry-snow-avalanche

numerical-simulations

display_name: numerical-simulations

weak-layer

display_name: weak-layer


en:
These datasets and script document the analyses and the plot generation for the article **“Trends in background mortality in unmanaged forests across Europe over the last century”**.
We used a comprehensive network of permanent plots with repeated censuses spanning from 1936 to 2020 in 299 unmanaged forest reserves across Europe. The database includes 1.5 million tree records over successive censuses covering a total sampled area of 853.7 ha.
It consists of the following files:
- **Mortality_script.Rmd**: R markdown document to reproduce the analysis and the plot generation.
- **plot_level.RDS**: This dataset contains annual mortality rate values for each permanent plot at each census, of plots with at least three censuses. This dataset is used to calculate the weighted mean annual background mortality rates by forest types, and the series of models to study the trends of annual mortality rates, and then to create Figure 1 and Figure 2.
- **tree_level.RDS**: This dataset contains tree census data for each permanent plot at each census, of plots with at least two censuses. This dataset is used to model species-specific size-dependent mortality probabilities of the studied tree species, and then to create Figure 3.

en: mortality-rate tree-mortality ecological-niche temperate-forests forest-dynamics forest forest-inventory

en:
Resource Title: plot_level.RDS
    Size: 41149 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/9e684bf2-daf1-4662-8425-1196c5dedfbc/resource/15a70c68-bb5b-4741-b8f1-49e54c0bbfea/download/plot_level.rds
    Description: This dataset contains annual mortality rate values for each permanent plot at each census, of plots with at least three censuses. This dataset is used to calculate the weighted mean annual background mortality rates by forest types, and the series of models to study the trends of annual mortality rates, and then to create Figure 1 and Figure 2.

en:
Resource Title: Mortality_script.Rmd
    Size: 23700 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/9e684bf2-daf1-4662-8425-1196c5dedfbc/resource/d8382129-4275-456c-b062-de2098d676f6/download/mortality_script.rmd
    Description: R markdown document to reproduce the analysis and the plot generation.

en:
Resource Title: tree_level.RDS
    Size: 2222669 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/9e684bf2-daf1-4662-8425-1196c5dedfbc/resource/4081e017-d05d-47dd-89a4-68a2cd22b4c6/download/tree_level.rds
    Description: This dataset contains tree census data for each permanent plot at each census, of plots with at least two censuses. This dataset is used to model species-specific size-dependent mortality probabilities of the studied tree species, and then to create Figure 3.

ecological-niche

display_name: ecological-niche

forest-dynamics

display_name: forest-dynamics

forest-inventory

display_name: forest-inventory

mortality-rate

display_name: mortality-rate

temperate-forests

display_name: temperate-forests

tree-mortality

display_name: tree-mortality


en:
Monitoring of vertebrates of the lower Magdalena river through eDNA metabarcoding
The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets targeting different regions of the mitochondrial DNA 12S ribosomal RNA gene, to detect vertebrate diversity in the Magdalena River. We detected a total of 159 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases in relation to the proximity to the river mouth with a change in the composition of the assemblage of aquatic vertebrates detected. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. Samples were taken at the sides of the river or in the center using a boat. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 1 hours, during which a maximum of 30 liters of water were filtered through each capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: vert01 edna metabarcoding fish magdalena colombia teleo

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

en: Environmental DNA Freshwater Colombia Magdalena 2022

colombia

display_name: colombia

edna

display_name: edna

fish

display_name: fish

magdalena

display_name: magdalena

metabarcoding

display_name: metabarcoding

teleo

display_name: teleo


en:
Monitoring fish diversity through eDNA metabarcoding along the Casamance river
In 2018, water samples were collected in 13 locations along the Casamance in Senegal. Samples were taken either from a boat or by filtering from the side of the river. At each station, two filtration replicates were performed using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 min, during which approximately 30 liters of water were filtered through each filtration capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. We use primers for eukaryote and fish. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: teleo edna metabarcoding senegal fish

en: Environmental DNA Freshwater Senegal Casamance 2018

envi

en: Environment

senegal

display_name: senegal


en:
Environmental DNA complements scientific trawling in surveys of marine fish biodiversity (Dataset 2021)
At the end of October and the beginning of November 2021, we selected 18 sites from the 2021 EVHOE survey for eDNA sampling. The French international EVHOE bottom trawl survey is conducted annually in autumn in the Bay of Biscay (BoB) to monitor demersal fish resources. All selected sites were located on the continental shelf at depths ranging from 30 to 230 m. At each site, we sampled seawater using an underwater pump equipped with two peristaltic heads (subspace), mounted on Ifremer’s Pagure sledge. We collected approximately 30 liters of water directly from the seabed at a flow rate of 1.0 L min⁻¹. For filtration, we used VigiDNA 0.20 μm filtration capsules (SPYGEN, Le Bourget-du-Lac, France) along with disposable sterile tubing. Each filtration device processed water along a transect, representing two replicates per sampling site. To prevent contamination during fieldwork, we adhered to strict protocols, including the use of disposable gloves and single-use filtration equipment. At the end of each filtration, we emptied the remaining water from the capsule and replaced it with 80 mL of CL1 conservation buffer before storing the samples at room temperature. We processed the eDNA capsules at SPYGEN, following the protocol outlined by Polanco-Fernández et al. (2020). Library preparation and sequencing were performed at Fasteris (Geneva, Switzerland). Specifically, we prepared four libraries using the MetaFast protocol (a ligation-based method) and sequenced them separately. Paired-end sequencing was conducted using a MiSeq sequencer (2 × 125 bp, Illumina, San Diego, CA, USA) on two MiSeq Flow Cell Kits (v3; Illumina), following the manufacturer’s instructions. We analyzed the sequence reads using the OBITools package (http://metabarcoding.org/obitools; Boyer et al., 2016), following the protocol described by Valentini et al. (2016).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: actinopterygii metabarcoding bay-biscay fish-composition chondrichthyes teleo atlantic-region edna

en: Environmental DNA Marine France Evhoe 2021

actinopterygii

display_name: actinopterygii

atlantic-region

display_name: atlantic-region

bay-biscay

display_name: bay-biscay

chondrichthyes

display_name: chondrichthyes

fish-composition

display_name: fish-composition