en:
This data set was used in the analysis by Techel et al. **Can model-based avalanche forecasts match the discriminatory skill of human danger level forecasts? A comparison from Switzerland**. Please note that the title of the preprint was *Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions*, submitted to *Natural Hazards Earth System Sciences* on 20 Aug 2024.
The final manuscript used data from three forecasting seasons (2022/2023, 2023/2024, 2024/2025) , the preprint two forecasting seasons (2022/2023, 2023/2024) .
Currently, the repository contains data from two avalanche forecasting seasons in Switzerland. The third season will be added (to be done, 30 June 2025).
**Interpolated predictions**
- The .zip file contains the interpolated predictions for the three models in nowcast- and forecast- mode. This data is needed to reproduce the figures and tables in the submitted preprint.
The other data are the **raw data** underlying the interpolations:
- Avalanche forecast by WSL Institute for Snow and Avalanche Research SLF, published at 17.00 local time, valid for the following 24 hours and relating to dry snow avalanche conditions.
- Model predictions in *nowcast*- and *forecast*-mode for three models (*danger level*, *instability*, *natural avalanche*), valid for 12.00 local time
- Subset of points extracted from GPS tracks (courtesy of Skitourenguru GmbH)
- Avalanche observations - natural avalanches and human-triggered avalanches
- Estimates of the snowline
- Randomly chosen subset of grid points used for generating reference distributions
For details regarding the data sets refer to the publication.

en: avalanche-release-probability forecast-models machine-learning avalanche-forecast spatial-modelling

envidat

en: EnviDat: the Environmental Data Portal

en: Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland

envi

en: Environment

en:
Resource Title: GPS data and human-triggered avalanches
    Size: 291620 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/48dfa07a-0f63-4e09-9160-6777085094e6/download/tracksavalanches_parametersubset.csv
    Description: Contains (1) the subset of points extracted from GPS tracks recorded during backcountry touring and uploaded to the website skitourenguru.ch and (2) the corresponding subset of human-triggered avalanches. Data (1) was provided by Skitourenguru GmbH and data (2) was collected by SLF. - Variables contained are date, Swiss coordinates (x, y), aspect (N = 0, NE = 45, ...), elevation (ele), and event (event = 1, non-event = 0).

en:
Resource Title: Human-triggered avalanches 2022/2023
    Size: 41461 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/32c06c01-381b-4def-9cc8-b0db86c457e9/download/human-triggered_avalanches_2022-2023.csv
    Description: The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)

en:
Resource Title: Natural avalanches 2023/2024
    Size: 75730 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/00b8d3db-ecf1-4a75-9ed9-b707fa2f6324/download/natural_avalanches_2023-2024.csv
    Description: Natural avalanche observation (dry avalanches). 2023/2024 forecasting season.

en:
Resource Title: Human-triggered avalanches 2023/2024
    Size: 38243 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/4e3cc5ed-ff9a-4d74-ae66-08a868de5332/download/human-triggered_avalanches_2023-2024.csv
    Description: The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)

en:
Resource Title: Avalanche forecast
    Size: 10232922 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/80146d72-7abb-4b39-8336-613b49ed9a3c/download/bulletinprepared.csv
    Description: Data contains forecasts relating to dry-snow avalanche conditions only. Forecast issued at 17.00 local time. Contains variables for the warning region (sector_id), publication date (date), danger level - sub-level combination expressed using numeric values (integer value of danger level -0.33 for sub-level minus, -0 for sub-level neutral, +0.33 for sub-level plus, altitude as indicated in the bulletin, and whether aspect (North = 0, Northeast = 45, ...) was indicated in the bulletin (no: 0, yes: 1).

en:
Resource Title: Snowline estimates 2023/2024
    Size: 2695027 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/87671683-a61d-45c0-92ff-d60fa3bd7e88/download/schneegrenze_beobachtungen_23-24.csv
    Description: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2023/2024 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

en:
Resource Title: Snowline estimates 2022/2023
    Size: 2504217 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/be143570-31b9-4f62-a51c-05bde676f461/download/schneegrenze_beobachtungen_22-23.csv
    Description: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2022/2023 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

en:
Resource Title: Natural avalanches 2022/2023
    Size: 73735 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/ca5a219a-bf68-49ee-82b2-d386e221f5ef/download/natural_avalanches_2022-2023.csv
    Description: Natural avalanche observation (dry avalanches). 2022-2023 forecasting season.

en:
Resource Title: Randomly sampled subset of grid points from 1 km DEM
    Size: 17861 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/021d90e0-68bd-42b6-8815-e26c10d3a363/download/dem_filteredavalancheelevations.csv
    Description: Contains the randomly sampled subset of grid points from 1 km DEM. Three variables: coordinates (x, y) and elevation (elev).

en:
Resource Title: Model predictions (raw data)
    Size: 24502560 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/cb2836c0-bab2-4686-b38b-2f3562827e89/download/modelpredictions_rawdata.zip
    Description: Model predictions (raw data) for three models, in nowcast and forecast mode. Not all models are available for both seasons. - These data are the basis for the interpolated predictions, which can be found in the other zip-folder

en:
Resource Title: Model predictions (interpolated)
    Size: 85948873 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/d0599e29-dbf1-4d54-8c4b-10a248fd9fa2/download/model_predictions_interpolated.zip
    Description: The zip file contains csv-files the interpolated model predictions for three models, in forecast and nowcast-mode, for the three different data sets, as described in the publication.

avalanche-forecast

display_name: avalanche-forecast

avalanche-release-probability

display_name: avalanche-release-probability

forecast-models

display_name: forecast-models

machine-learning

display_name: machine-learning

spatial-modelling

display_name: spatial-modelling


defoliation-growth-data

$oid: OBSOLETE

en:
Using a literature review extracted data from 26 published papers which had data on individual tree defoliation and growth relationships In Europe.
This data set includes 415 defoliation-growth data points from 16 different tree species covering 15+ countries in Europe. Growth metrics used in individual papers were different, and included increments in terms of volume, tree rings width, radial growth, basal area and biomass. All growth metrics were converted into relative growth (presented in this dataset), expressed as a percentage of the growth of progressively defoliated trees in relation to the growth of those trees adopted as reference (control) defoliation level (i.e. the growth of the lowest defoliation level in each study was used as the reference growth point).

en: literature-review defoliation relative-growth forest-health tree-growth

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: Defoliation-Growth data

title_for_slug: defoliation-growth-data

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

fr: Environnement

it: Ambiente

format: CSV

defoliation

display_name: defoliation

forest-health

display_name: forest-health

literature-review

display_name: literature-review

relative-growth

display_name: relative-growth

tree-growth

display_name: tree-growth


en: Structural and functional changes of microbial communities in ephemeral stream sediments and adjacent soils between was assessed in an artificial newly created catchment at 3 and 13 years after catchment construction. Bacterial and fungal communities, respiration and extracellular enzyme activities were assessed.

en: microbial-biodiversity microbial-respiration soil-respiration beta-diversity ecosystem-functions

envidat

en: EnviDat: the Environmental Data Portal

en: Chicken Creek 10 years

en:
Resource Title: Fungal amplicon sequencing
    Size: 1436018 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/9195ccc2-7307-4f42-b698-52874737bf40/download/fungal-metagenomics-raw-data.xlsx
    Description: Fungal ASVs and taxonomic tables

format: XLS

en:
Resource Title: Microbial functions and metadata
    Size: 58930 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/0f3324ec-664c-4977-a325-6bd37e1e52e9/download/functions-and-soil-metadata.xlsx
    Description: Extracellular enzyme activities, respiration and sites metadata

en:
Resource Title: Bacterial amplicon sequencing
    Size: 7228320 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/8fc928d0-5b3f-41a1-9326-e44a412ad6a1/download/bacteria-metagenomics-raw-data.xlsx
    Description: Bacterial ASVs and taxonomic tables

beta-diversity

display_name: beta-diversity

ecosystem-functions

display_name: ecosystem-functions

microbial-biodiversity

display_name: microbial-biodiversity

microbial-respiration

display_name: microbial-respiration

soil-respiration

display_name: soil-respiration


en:
Tropical reef fishes exhibit a large disparity of organismal morphologies contributing to their astonishing biodiversity. Morphological disparity, scaling from differences among individuals within populations to differences among species, is governed by ecological and evolutionary processes.
Here, we examined the relationship between intra- and interspecific disparity in 1111 individuals from 17 tropical reef fish species, representing 10 families with different dispersal abilities, across four Indian Ocean regions. We compared intraspecific measurements with species-level measures from a database of 1061 reef fish species. Species with high morphological disparity among individuals from distinct regions are found to be nested in families that display a high disparity among their genera. We show an association between the morphological disparity at the intra- and interspecific levels for several morphological ratios such as the caudal peduncle elongation. We evaluated the link between morphological disparity and genetic diversity with species dispersal ability. A structural equation model indicates that dispersal ability correlates positively with species genetic diversity, which is associated with morphological disparity.
Our results suggest that traits associated with dispersal may foster gene flow and morphological evolution. However, future works combining genomic, morphological and environmental data across more species is necessary to generalize these findings to other regions.

en: reef-fish indian-ocean landscape landscape-evolution morphology landscape-genetics

en: Continuity in morphological disparity in tropical reef fishes across evolutionary scales

envi

en: Environment

format: ZIP

indian-ocean

display_name: indian-ocean

landscape

display_name: landscape

landscape-evolution

display_name: landscape-evolution

landscape-genetics

display_name: landscape-genetics

morphology

display_name: morphology

reef-fish

display_name: reef-fish


en:
This dataset consists of spatio-temporal soil measurements and local snow measurements which were recorded to investigate glide-snow avalanche release in the Seewer Berg slope (Davos, Switzerland) from Nov 2021 to June 2024. Investigations based on this dataset were published in the research article:
Fees A., Lombardo M., van Herwijnen A., Lehmann P., Schweizer J. (2025). The source, quantity, and spatial distribution of interfacial water during glide-snow avalanche release: experimental evidence from field monitoring. The Cryosphere
The dataset consists of:
- Soil measurements (temperature and liquid water content) at soil depths of -5cm, -10cm, and -20cm
- Matric potential at depths of -5cm, -10cm, and -20cm
- Manual snow profiles (Snow height, temperature, liquid water content, bulk density)
- Metadata and manual snow profiles on glide-snow avalanches that released in the Seewer Berg slope
- Snow height, air temperature and rain simulated with SNOWPACK.

en: snow-profile glide-snow-avalanche avalanche-activity avalanche soil-moisture

en: Spatio-temporal soil and local snow monitoring in a glide-snow avalanche prone slope above Davos Switzerland

en:
Resource Title: snow_profiles.csv
    Size: 4103 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/4a074b12-3c0b-4480-a72d-65368605062b/download/snow_profiles.csv
    Description:

media_type: text/csv

en:
Resource Title: snowpack_simulation.csv
    Size: 831451 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/db4773c1-de98-4020-a199-03987a57362b/download/snowpack_simulation.csv
    Description: This file contains SNOWPACK simulations (snow height, air temperature, rain) at a virtual station in the reference location. The virtual station was interpolated between the Weissfluhjoch (WFJ2) and Klosters Madrisa (KLO2) IMIS Stations.

en:
Resource Title: Setup_Dorfberg.pdf
    Size: 10566869 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/062a28fe-7ba3-48cf-a134-97b93aadaeab/download/setup_dorfberg.pdf
    Description: This file provides an overview of the dataset, the detailed measurement setup, and points out limitations.

format: PDF

media_type: application/pdf

en:
Resource Title: Setup_Dorfberg.pdf
    Size: 10566929 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/18c31d29-b035-4cc4-abbb-89389209963a/download/envidat_setup_dorfberg.pdf
    Description: This file provides an overview of the dataset, the detailed measurement setup, and points out limitations.

en:
Resource Title: coordinates_sensors_shp.zip
    Size: 1925 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/f9aebdee-87a8-424a-8253-c0ede405505f/download/coordinates_sensors_shp.zip
    Description: This file contains the coordinates of the reference location and the sensors in the Seewer Berg slope as a shapefile.

media_type: application/zip

en:
Resource Title: seewer_berg_sensors.csv
    Size: 73661482 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/ccde8ed4-1613-41f3-a486-f445837d249f/download/grid_sensors.csv
    Description: This file contains all sensor recordings in the Seewer Berg slope (time interval: 15 minutes).

en:
Resource Title: snowcover_Seewer_Berg_manual.csv
    Size: 1011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/d36d63a4-0924-4c55-b371-2ac0ea642d95/download/snowcover_seewer_berg_manual.csv
    Description:

en:
Resource Title: avalanche_activity.csv
    Size: 1098 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/0d3deb2c-8aad-4837-85ae-5334caa8f298/download/avalanche_activity.csv
    Description: This file contains the daily avalanche activity on Dorfberg as extracted from time-lapse photographs.

en:
Resource Title: snow_profiles.csv
    Size: 4103 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/9f391cd2-3561-4479-bb54-fc1a4612b0b0/download/snow_profiles.csv
    Description: This file contains the aggregated data from manually recorded snow profiles in the reference location, 100m northwest of the Seewer Berg slope and in release areas of glide-snow avalanches in the Seewer Berg slope.

en:
Resource Title: README.txt
    Size: 6245 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/72e12972-344e-46ce-84af-ddca8924d9ec/download/readme.txt
    Description: This file explains all provided datasets, variables and their units.

format: TXT

media_type: text/plain

en:
Resource Title: reference_location_sensors.csv
    Size: 4600810 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/f6bfdffe-9a8e-4c54-b557-269570fdd74f/download/reference_location_sensors.csv
    Description: This file contains all soil measruements (liquid water content and matric potential) recorded at the reference location.

en:
Resource Title: avalanches_seewer_berg_shp.zip
    Size: 28023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/c39ee8f9-4938-4ef5-93d4-78ec270d9749/download/avalanches_seewer_berg_shp.zip
    Description: This file contains the release areas (polygon) of glide-snow avalanches as a shapefile.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snow-profile

display_name: snow-profile

soil-moisture

display_name: soil-moisture


en: This data is related to the publication "Non-native Douglas fir seedlings outcompete native Norway spruce, silver fir and Scots pine under dry and nutrient-poor conditions". It contains growth and biomass data on Douglas fir seedlings in competition with three native conifers and four native broadleaf trees over three years und varying environmental conditions (i.e., water, nutrients and light availabilities).

en: climate-change european-beech douglas-fir drought norway-spruce

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: Data on Douglas fir seedlings from the DOCH-WO experiment

climate-change

display_name: climate-change

douglas-fir

display_name: douglas-fir

drought

display_name: drought

european-beech

display_name: european-beech

norway-spruce

display_name: norway-spruce


en: Raw data on plant morphological traits, phytochemistry and herbivory that were analyzed in the study entitled: Artificial night light intensity modulates herbivory and phytochemistry in European beech

en: insect-herbivores phytochemistry light-pollution european-beech alan

en: Raw data - Artificial night light intensity modulates herbivory and phytochemistry in European beech

envi

en: Environment

alan

display_name: alan

insect-herbivores

display_name: insect-herbivores

light-pollution

display_name: light-pollution

phytochemistry

display_name: phytochemistry


en: This data set provides soil organic carbon, total nitrogen, and stable carbon isotope (13C) values of mineral soil (0-45cm), organic horizons (Oi, Oe, Oa), and root biomass of an afforestation sequence (0-130years) on a subalpine pasture in Jaun, Switzerland.

en: afforestation picea-abies belowground-biomass isotopes subalpine

en: Soil organic carbon stock of an afforestation sequence on a subalpine pasture

afforestation

display_name: afforestation

belowground-biomass

display_name: belowground-biomass

isotopes

display_name: isotopes

picea-abies

display_name: picea-abies

subalpine

display_name: subalpine


en: Data on soil nutrients and charcteristics, tree and understory biomass, foliage nutrients, mineralogy, soil temperature and moisture along an elevation gradient from boreal forest to mountain tundra in teh Khibiny mountains (Kola Penninsula, Russia). Samples were taken along two gradients at 7 elevation level either under tree canopy (tree) and in open areas (open).

en: biomass-dynamics soil-nutrients treeline-ecosystems plant-community plant-traits climate-change

biomass-dynamics

display_name: biomass-dynamics

plant-community

display_name: plant-community

plant-traits

display_name: plant-traits

soil-nutrients

display_name: soil-nutrients

treeline-ecosystems

display_name: treeline-ecosystems


data-interactive-avalanche-segmentation

en:
Images and corresponding avalanche annotations used for interactive avalanche segmentation:
SLF train, vali and test
WebNew
GroundPic
UserPic
UIBK dataset: List of images used
Pictures are from SLF (mostly from the Dischma Cams) if not otherwise indicated. If used, the data needs to be properly cited!

en: interactive snow deep-learning segmentation avalanche

en: Data interactive avalanche segmentation

title_for_slug: data-interactive-avalanche-segmentation

avalanche

display_name: avalanche

deep-learning

display_name: deep-learning

interactive

display_name: interactive

segmentation

display_name: segmentation

snow

display_name: snow


en:
In der Schweiz werden Wasserkraftanlagen (WKA) mit einer Leistung von mehr als 300 kW systematisch erfasst und in der nationalen Wasserkraftstatistik (WASTA) zusammengetragen. Die WASTA bildet eine umfangreiche Datengrundlage für Analysen bezüglich Wasserkraft, auch im Kontext von Klimawandel, Biodiversitätsverlust und Energiewende. Nicht erfasst auf nationaler Ebene waren bis anhin die sogenannten Kleinstwasserkraftwerke, WKA mit einer Leistung von weniger als 300 kW. Kleinstwasserkraftwerke tragen zwar nicht wesentlich zur Schweizer Elektrizitätsversorgung bei, haben jedoch aufgrund ihrer hohen Anzahl Auswirkungen auf die Gewässerökologie, die mit den Klimawandel noch stärker unter Druck gerät.
Der neu erstellte Datensatz CH-Kleinstwasserkraftwerke umfasst 1'682 WKA mit einer Leistung von weniger als 300 kW. In den zwei Datensätzen WASTA (- 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW) sind zurzeit 2’388 WKA erfasst. Im Austausch mit den 26 Kantonen wurde jedoch klar, dass es sich nicht um eine vollständige Sammlung von Kleinstwasserkraftwerken handelt. Die 1'682 Kleinstwasserkraftwerke machen rund 70% aller erfassten WKA in der Schweiz aus, tragen jedoch mit weniger als 600 GWh/Jahr lediglich rund 1.5% zur schweizerischen Wasserkraftproduktion bei. In einem optimistischen Szenario, in dem die jährliche Produktionserwartung tendenziell überschätzt wird, liegt dieser Anteil um 0.3% höher. Von den erfassten 2’388 WKA erzeugen die 10% der grössten Anlagen über 90% der schweizerischen Wasserkraftproduktion. Der Datensatz CH-Kleinstwasserkraftwerke ist im Rahmen der ETH-Initiative SPEED2ZERO entstanden, die Klimadienstleistungen in den Bereichen Klimawandel, Biodiversitätsverlust und Energiewende erbringt (https://speed2zero.ethz.ch).
Hier verfügbare Datensätze:
- CH-Kleinstwasserkraftwerke - der hier vorgestellte Datensatz mit 1'682 Kleinstwasserkraftwerken
- EZG-Kleinstwasserkraftwerke - die Einzugsgebiete (2 km² ), in denen sich die 1'682 Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH)
- Metadaten - sämtliche Metadaten zum Datensatz CH-Kleinstwasserkraftwerke
- CH-WKA - eine Zusammenstellung sämtlicher 2'388 erfassten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (- 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW)

en: kleinstwasserkraftwerke datensatz speed2zero schweiz wasserkraft

en: CH-Kleinstwasserkraftwerke - ein schweizweiter Datensatz zu Kleinstwasserkraftwerken

en:
Resource Title: CH-KWA.xlsx
    Size: 245680 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/22386ad7-ab16-4738-bc7a-783a7546767d/download/ch-kwa.xlsx
    Description: .XLSX-Datei der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en:
Resource Title: CH-Kleinstwasserkraftwerke.pdf
    Size: 4263857 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/55f0e6a2-2041-4cb2-b4a2-8ca4cefb770c/download/ch-kleinstwasserkraftwerke.pdf
    Description: Dokumentation: CH-Kleinstwasserkraftwerke

en:
Resource Title: EZG_CH-Kleinstwasserkraftwerke.zip
    Size: 11420830 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/7d50319e-2fb2-4446-8f51-8b0e0c90fe2e/download/ezg_ch-kleinstwasserkraftwerke.zip
    Description: Shapefile der Einzugsgebiete (2 km² ), in denen sich die jeweiligen Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH).

en:
Resource Title: CH-Kleinstwasserkraftwerke.zip
    Size: 208809 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/79870366-f746-427a-b61b-d16ff0f803a0/download/ch-kleinstwasserkraftwerke.zip
    Description: Shapefile von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
Resource Title: CH-WKA.zip
    Size: 166865 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/dfcc98f3-8087-44b6-88bb-e9046c91fbd9/download/ch-wka.zip
    Description: Shapefile der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en:
Resource Title: CH-Kleinstwasserkraftwerke.xlsx
    Size: 286462 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/7cd7672a-441d-45ad-bc1d-dfb44de1de45/download/ch-kleinstwasserkraftwerke.xlsx
    Description: .XLSX-Datei von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
Resource Title: CH-Kleinstwasserkraftwerke.svg
    Size: 9408747 bytes
    Format: image/svg+xml
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/6a4fe0c9-2daa-48ec-9625-a859c5edf30b/download/ch-kleinstwasserkraftwerke.svg
    Description: Die 1'682 erfassten Kleinstwasserkraftwerke im Datensatz CH-Kleinstwasserkraftwerke

format: svg+xml

datensatz

display_name: datensatz

kleinstwasserkraftwerke

display_name: kleinstwasserkraftwerke

schweiz

display_name: schweiz

wasserkraft

display_name: wasserkraft


en:
The isotope composition of different forest water pools was analyzed at 10 sites of the Long-term Forest Ecosystem Research programme in 2021 and 2022. The sampling was done during the vegetation season and included fortnightly xylem water samples taken by stem increment cores and each year 3 bulk soil water sampling campaigns (in April, June, September of 2021 and 2022). Both sample types were cryogenically extracted at WSL and analyzed on a Picarro 2140 with Micro-Combustion-Module. Gravimetric water content in both sample types was computed based on pre-and post-extraction weights. In addition to xylem and bulk soil waters, we analyzed the isotope composition of soil solution from a suction cup lysimeters in three soil depths 0, 15, 50, 80 cm and precipitation from samplers below the canopy and outside of the forest, all collected fortnightly from collection periods of varying length (longest from 2017-2022).
Precipitation samples are further described [here](https://www.doi.org/10.16904/envidat.lwf.15). Lysimeter samples are described further  [here](https://www.doi.org/10.16904/envidat.lwf.28).

en: water-isotopes forest-ecosystems xylem-water soil-solution water-budget

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: Water isotope signatures in Swiss forest ecosystems in 2021 and 2022

envi

en: Environment

en:
Resource Title: out2024-01-07_column-headers__s71t_.csv
    Size: 1800 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/6bbb0ae7-77c4-415e-8267-2b420c2f4e5d/download/out2024-01-07_column-headers__s71t_.csv
    Description: Column descriptions for soil solution, deposition, xylem and bulk soil samples.

en:
Resource Title: out2024-01-07-bulksoil-overview_s71t_.png
    Size: 813027 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/9f212b10-5843-4576-9925-591aec4314f6/download/out2024-01-07-bulksoil-overview_s71t_.png
    Description: Overview of most bulk soil water isotopic signatures.

format: PNG

media_type: image/png

en:
Resource Title: out2024-01-07-soilsolution-all_isotope_samples_s71t__rounded.csv
    Size: 241479 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/04a0f364-c5a8-453e-b130-7749da954488/download/out2024-01-07-soilsolution-all_isotope_samples_s71t__rounded.csv
    Description: Water isotope signatures of soil solution samples.

en:
Resource Title: out2024-01-07-Xylem-all_isotope_samples_s71t__rounded.csv
    Size: 225860 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/86b1d357-f693-41c2-bff6-6e3a36bbc0c3/download/out2024-01-07-xylem-all_isotope_samples_s71t__rounded.csv
    Description: Water isotope signatures and gravimetric water content of xylem samples.

en:
Resource Title: out2024-01-07-bulksoil-all_isotope_samples_s71t__rounded.csv
    Size: 376212 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/f5a41abb-611e-4af1-9d09-da47572fe617/download/out2024-01-07-bulksoil-all_isotope_samples_s71t__rounded.csv
    Description: Water isotope signatures and gravimetric water content of bulk soil samples.

en:
Resource Title: out2024-01-07-deposition-overview_s71t_.png
    Size: 1559360 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/f9d40459-1d3f-451f-8231-6f98dc372685/download/out2024-01-07-deposition-overview_s71t_.png
    Description: Overview of most deposition water isotopic signatures.

en:
Resource Title: out2024-01-07-Xylem-overview_s71t_.png
    Size: 792919 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/81be7990-7d99-474b-8e6a-833a4198041d/download/out2024-01-07-xylem-overview_s71t_.png
    Description: Overview of most xylem water isotopic signatures.

en:
Resource Title: out2024-01-07-soilsolution-overview_s71t_.png
    Size: 1705534 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/19a99b8e-715f-4b5d-9a83-a58ce7262b39/download/out2024-01-07-soilsolution-overview_s71t_.png
    Description: Overview of most soil solution water isotopic signatures.

en:
Resource Title: out2024-01-07-deposition-all_isotope_samples_s71t__rounded.csv
    Size: 160501 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/c6b075d0-ad47-404b-91a0-ca66b7ce433b/resource/284c6d51-fb35-470c-8c4f-c314109e4ec2/download/out2024-01-07-deposition-all_isotope_samples_s71t__rounded.csv
    Description: Water isotopic signature of deposition samples.

forest-ecosystems

display_name: forest-ecosystems

soil-solution

display_name: soil-solution

water-budget

display_name: water-budget

water-isotopes

display_name: water-isotopes

xylem-water

display_name: xylem-water


en:
This data set includes 21st century projections of dry- and wet-snow avalanche activity for seven sites in the Swiss Alps as well as the downscaled climate scenarios and SNOWPACK configuration files used to produce these projections. The methods used to produce these data are described in the research article:
Mayer, S., Hendrick, M., Michel, A., Richter, B., Schweizer, J., Wernli, H., and van Herwijnen, A.: Changes in snow avalanche activity in response to climate warming in the Swiss Alps, EGUsphere, 2024, 1-32, https://doi.org/10.5194/egusphere-2024-1026, 2024.
We used downscaled climate projections to drive the snow cover model SNOWPACK and evaluated future dry- and wet-snow avalanche occurrences in the vicinity of seven automatic weather stations from the IMIS network using machine learning models trained with observed records of avalanche activity. Projections are available for three different emission scenarios (Representative Concentration Pathways, RCP2.6, RCP4.5 and RCP8.5) and eight climate model chains from the CH2018 ensemble. The output of the model chain is given by a daily probability for dry- or wet-snow avalanche occurrences. These probabilities can then be used to classify a day as a dry- and wet-snow avalanche day (AvD) or non-avalanche day.

en: snow-stratigraphy climate-projections wet-snow-avalanche snow-instability climate-change avalanche snow dry-snow-avalanche

en:
Resource Title: README.txt
    Size: 4232 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e777e9f2-5515-43b9-a5cb-b0d8b7d649e4/resource/e100befd-5ef4-495a-b922-ac8316cbdd4b/download/readme.txt
    Description:

en:
Resource Title: Projections of avalanche activity
    Size: 244124715 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/e777e9f2-5515-43b9-a5cb-b0d8b7d649e4/resource/57e53301-e5b5-4366-b1e3-983088b73332/download/avd_projections.zip
    Description: contains one file per IMIS station that indicates the daily probability for the occurrence of dry- or wet-snow avalanches in the vicinity of the respective station for each day during the time period 1.12.1981-31.05.2099 (months December to May) and all climate model chains and RCP scenarios.

en:
Resource Title: SNOWPACK settings
    Size: 3070 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/e777e9f2-5515-43b9-a5cb-b0d8b7d649e4/resource/b05a3845-4efc-429b-8a95-6e519b1eaef4/download/snowpack_settings.zip
    Description: contains .ini and .sno file indicating the settings used to drive SNOWPACK with the climate scenarios

en:
Resource Title: Climate scenarios .smet
    Size: 1768931461 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/e777e9f2-5515-43b9-a5cb-b0d8b7d649e4/resource/12ca4022-4445-41aa-8720-a1caf547eb09/download/smet.zip
    Description: contains one .smet file per combination of station, climate model chain and RCP scenario. Each .smet file contains the downscaled meteorological data (time span 1.9.1981-31.8.2099) that was used to drive the SNOWPACK simulations.

climate-change

display_name: climate-change

climate-projections

display_name: climate-projections

dry-snow-avalanche

display_name: dry-snow-avalanche

snow-instability

display_name: snow-instability

snow-stratigraphy

display_name: snow-stratigraphy

wet-snow-avalanche

display_name: wet-snow-avalanche


en: This dataset was used for the publication "Boch, Blaser, Föhr, Küchler, Fischer (2024) Haymaking complemented by moderate disturbances can sustain and restore species-rich alpine to subalpine grasslands" in Alpine Botany. It contains vegetation records (species lists, percentage cover of species) of six grassland sites with each five 2x2 m treatment plots established in the Schynige Platte Alpine Botanical Garden. In a six-year experiment, we tested the response of plant species richness and mean ecological indicator values that we calculated from this dataset, to management treatments ranging from combined haymaking and scraping, to haymaking or scraping alone, to complete abandonment. We further tested whether the treatments led to changes in species composition, i.e. shifts to different vegetation types.

en: land-use-abandonment grassland-management biodiversity vascular-plant disturbance

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: Schynige Platte Alpine Botanical Garden land-use experiment

biodiversity

display_name: biodiversity

disturbance

display_name: disturbance

grassland-management

display_name: grassland-management

land-use-abandonment

display_name: land-use-abandonment

vascular-plant

display_name: vascular-plant


en:
This collection of datasets consists of various measurements taken during the year 2022 in Pfynwald. It combines 2 electrical resistivity transects which were monitored in May and July, before and after the irrigation season. The transects transverse all treatments (irrigation, control, irrigation stop). Each transect was repeated twice during the day for a period of 3 days to a week.
In addition there are raw and post-processed drone images (and resulting PRI maps), which were used to compare the below ground responses (from resistivity) to the above ground (crown) stress.
Here, the raw data is stored and a link to a git project is provided where python code is stored to reproduce all the results the published manuscript: "Does optimality partitioning theory fail for belowground traits?  Insights from geophysical imaging of a drought-release experiment in a dry Scots Pine forest", New Phytologist, Shakas et al., 2024. The in-depth explanations from each processing step are found in the code (git project).

en: ert irrigation drone-data pinus-sylvestris drought

en: Pfynwald Geoelectric Experiment 2022

envi

en: Environment

en:
Resource Title: 2022_NP.zip
    Size: 511138780 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/1e4afcde-3acf-4b78-ab2f-0376aab525be/resource/167b27d0-27c2-48d3-b16b-83f4eb2bf740/download/2022_np.zip
    Description: This zip file contains all raw and processed data for the electrical resistivity and drone campaigns that took place in Pfynwald, 2022

en:
Resource Title: SWPC_data_Pfynwald_NP2024_data.csv
    Size: 153809 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1e4afcde-3acf-4b78-ab2f-0376aab525be/resource/e0f3f914-7db4-4536-a47f-ee8b878b5ad1/download/swpc_data_pfynwald_np2024_data.csv
    Description: This .csv file contains the soil water potential data for all treatments (irrigation, irrigation-stop and control) and for the whole year of 2022. The data is given as a mean value and with an upper and lower uncertainty bound, given from the manufacturer. The depth of the sensor is given in cm, and the measured values are in units of kPa.

drone-data

display_name: drone-data

drought

display_name: drought

ert

display_name: ert

irrigation

display_name: irrigation

pinus-sylvestris

display_name: pinus-sylvestris


en: Im Rahmen des Bryolich-Projekts “Moose und Flechten in Gärten” wurden möglichst vollständige Artenlisten von Moosen und Flechten in 26 bzw. 7 Gärten um Wohnhäuser erstellt. In 5 dieser Gärten wurden beide Artengruppen erfasst. Zusätzlich wurden Informationen über unterschiedliche Lebensräume innerhalb der Gärten (z.B. Fläche mit Gehölzen, Fläche von Blumenbeeten) und weitere Garten-Charakteristika (z.B. Fläche des Gartens, Alter des Gartens, Einsatz von Dünger) erfasst. Details zum Projekt und den erfassten Daten können im zugehörigen Artikel (Bergamini et al. 2024) und auf der Webseite von Bryolich gefunden werden (https://www.bryolich.ch/mfig/mfig_de.html).

en: bryolich moose bryophytes flechten lichens diversitat garten

en: Daten Bryolich-Projekt Moose und Flechten in Gärten

bryolich

display_name: bryolich

bryophytes

display_name: bryophytes

diversitat

display_name: diversitat

flechten

display_name: flechten

garten

display_name: garten

lichens

display_name: lichens

moose

display_name: moose


en:
Fish environmental DNA data set collected in the shallow seamount of La Pérouse located between Madagascar and Réunion Island
In 2019, we sampled the shallow seamount of La Pérouse, located between Madagascar and Réunion Island in the WIO. La Pérouse is an extinct volcano with a summit depth at 60 m below the sea surface. The plateau of the summit has a maximum length of 12 km and a maximum width of 4 km. One side of the seamount might have collapsed in the past, leading to a less common crescent-shaped summit. The abyssal plains that surround this isolated pinnacle are at a depth of 5000 m. Despite its proximity to Réunion Island (160 km northwest), La Pérouse and its surroundings are still poorly studied.
To sample eDNA in this location we used a submersible pump (Subspace, Geneva, Switzerland; nominal flow of ~ 1.0 L/min) to collect samples at various depths during close circuit rebreather dives. The pump has an internal battery and can be activated underwater allowing in situ filtration directly at the targeted habitat and depth. The filtration lasted for 30 min to collect a total water volume of ~ 30 L. During close circuit rebreather dives, water samples from various depths, ranging from 60 to 140 m below the sea surface, were collected using only the Submersible method (eight stations: no replicates). Out of the eight water samples, six were collected during the day, while two were collected at night (IS2_1 at 62 m and IS7_1 at 100–125 m). We applied this filtration protocols to collect and filter water throughout a VigiDNA® 0.2 μM cross-flow filtration capsule (SPYGEN, le Bourget du Lac, France) using disposable sterile tubing for each filtration capsule. After the filtration process, the remaining water in the capsules was emptied. The capsules were then filled with 80 ml of lysis conservation buffer (CL1 buffer SPYGEN, le Bourget du Lac, France) and stored at room temperature in the dark. At La Pérouse, a total of eight water samples were collected during the MONT LA PÉROUSE expedition (https://gombessa-expeditions.com/mont-la-perouse/) on board the ship La Curieuse to the seamount La Pérouse from October 27th to November 5th 2019. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: coral-reef teleo edna fish-composition marine laperouse environmental-dna indian-ocean

en: Environmental DNA Marine France LaPerouse 2019

coral-reef

display_name: coral-reef

edna

display_name: edna

environmental-dna

display_name: environmental-dna

fish-composition

display_name: fish-composition

indian-ocean

display_name: indian-ocean

laperouse

display_name: laperouse

marine

display_name: marine

teleo

display_name: teleo


figures-perspective-urban-beekeeping

en:
Data and code from the perspective paper "When honeybees comes to town"
The .r file  provides the code to generate the figures.
In addition, this repository  contains the data for the figures 1-3.
For Figure 4, part of the data is confidential, Please, refer to the contacts provided:
- For the distribution of hives in Zurich (2018):  https://www.zh.ch/de/gesundheitsdirektion/veterinaeramt.html
- For the overheating map of Zurich: Prof. Dr. Eberhard Parlow / Stadt Zurich (https://www.zh.ch/de/umwelt-tiere/umweltschutz/umweltpraxis/definitionsseite/2012/68/zup068_2012_a0030_klimaanalyse-pdf.html)

en: insects diversity-distributions hymenoptera wildbees urban-ecology urban-beekeeping

en: Figures perspective urban beekeeping

title_for_slug: figures-perspective-urban-beekeeping

en:
Resource Title:  R script for the figures V2
    Size: 12560 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/ce87ae36-0f02-4997-ae60-33dba79604a8/download/20240320_cleaned_script_envidat.r
    Description: R script for the figures

format: OCTET

en:
Resource Title:  Distribution beehives among beekeepers
    Size: 26599 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/5f514458-36af-4c5c-a3b2-fefe670ebdb3/download/20240417_rad_beehives_beekeepers.csv
    Description: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich) and Paris.

en:
Resource Title: DEPRECATED. Data growth urban beekeeping
    Size: 7219 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/7a0a508a-5b79-4eb6-810d-d75c7aac1ea4/download/20240308_growth_beekeeping.csv
    Description:

en:
Resource Title: Proportion honeybees and wildbees
    Size: 7771 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/40fc5176-f9bd-4406-bdaa-ec5777d59bc7/download/20240301_proportion_hb_wb.csv
    Description: Outdated, use the new resource "Propotion urban honeybees and wildbees"

en:
Resource Title: Proportion urban honeybees and wildbees
    Size: 11547 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/2cbc89cf-9a61-470d-9782-d06683905aec/download/20241201_proportion_hb_wb.csv
    Description: The dataset contains the proportion of wildbees and honeybees in the different studies obtained from the literature review.

Article_ID: ID for each article
DOI
Authors
Year: publication year
Duration sampling (years): numerical
Start_sampling: numerical, date
End_sampling: numerical, date
Continent
Country
N. cities: number of cities sampled in the article. Numerical.
City
Sampling type: categorical. Levels: active (e.g., Hand-netting); passive (e.g., pantraps. trap-nests); both (combination of passive and active methods).
Sampling methodology: categorical. Levels: direct observations, hand-netting, pantraps, interception traps, vane traps.
Number sites: total number of study sites.
Abundance honeybees: number of honeybees recorded
Abundance wild bees: number of wildbees recorded
Total bees: total number of bees recorded.
Proportion honeybees: Abundance of honeybees / Total number of bees
Proportion wildbees: Abundance of wildbees / Total number of bees

en:
Resource Title:  Data growth urban beekeeping
    Size: 8945 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/979f7e0b-d069-4f73-8978-da6a25021681/download/20240308_growth_beekeeping.csv
    Description: The dataset contains the data of the growth of urban beekeeping in different cities.

For each city in a given year, it contains the following:
Continent.
Country.
City: the name of the city
Year: the year when the information was collected
Area: of the city
Total N. beekeepers: when available, the estimated number of beekeepers in that city for that given year
Total N. hives: when available, the estimated number of beehives in that city for that given year
Density: the total number of hives divided by the city area
Reference: the source of the information.

en:
Resource Title: Local overheating values within 3 buffers in hives in Zurich
    Size: 23921 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/1362115c-fced-4573-af08-2923b1fcfe5c/download/overwarming.hives.buffers.csv
    Description: The dataset contains the average overheating values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 4 columns:
- buffer: indicating the spatial scale
-ID: hive ID (annonymised)
- mean.overwarming: mean overheating value, expressed in degrees Kelvin
-mena.overwarming.cor = transformed values do degrees Celsius

en:
Resource Title: NDVI values within 3 buffers  in hives in Zurich
    Size: 17341 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/efd9c5a4-9b8f-4473-b5c6-c6c6c65c22c5/download/ndvi.hives.buffers.csv
    Description: The dataset contains the average NDVI values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 3 columns_
- buffer: indicating the spatial scale
- ID: hive ID (annonymised)
- mean.NDVI: mean NDVI value

en:
Resource Title: Coordinates studied cities
    Size: 1626 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/a5320430-d384-4451-8cd7-5dfc49a9b427/download/20240308_cities_coords.csv
    Description: Coordinates (LatLon format) of the cities where data from urban bee ecology studies was used.

en:
Resource Title: Results literature review
    Size: 55017 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/5ba02a31-5914-4bba-ad65-58cb93030b07/download/20240301_literature_review_paper_selection.csv
    Description:  The file shows the results from the literature review. Briefly, we searched papers using google scholar search engine using the following query: (“WILD BEE OR WILDBEE”)(“URBAN” OR “CITY”), and limited the time span from 2010-2023. The search query returned 200 candidate papers. In addition, we complemented the candidate papers from the literature research performed by Ferrari & Polidori (2022), adding 22 additional candidate papers. To select papers, we checked that (1) were conducted in urban areas; (2) sampled the whole bee community; (3) provided data on abundance of wildbees; (4) provided data on honeybees; and (5) provided individual abundance data of each wild bee species.

The dataset contains the following:
-Article_ID: ID for the specific article in the form "A1", "A2"..."An"
- Title: of the article
- Year: of publication
- Journal: of publication
- Publisher:
- Link: link to the publication
- DOI: when applicable
- Total abundance wild bees reported: was the total number of collected bees reported? Logical (Y/N)
- Honey bee abundance reported: was thenumber of honeybees collected reported? 	Logical (Y/N)
- Abundance per wild bee species: was the number of wildbee species sampled provided? Logical (Y/N)
- Select proportion: paper selected to calculate the proportion of honeybees and wildbees.
- Select RAD: paper selected to compute the rank-abundance distribution diagram
Comment: comments on the papers, data availability, etc.

en:
Resource Title: DEPRECATED. Distirbution beehives among beekeepers
    Size: 17986 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/bb5d9722-2054-4cf3-8c14-8233f78c367a/download/20240417_rad_beehives_beekeepers.csv
    Description: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich).

en:
Resource Title: R script for the figures V1
    Size: 10919 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/3c95679c-2933-458c-babf-58b043ef7930/download/20240320_cleaned_script_envidat.r
    Description: Deprecated version of the R script

en:
Resource Title: Species-abundance data
    Size: 597001 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/017ec9fb-051e-44b5-802b-c2a9ebb519f3/download/20241201_rad_bees.csv
    Description: Abundance data at the species level per used dataset for the rank abundance distribution (RAD).
40 datasets used.

en:
Resource Title: Data rank-abundance distribution urban bees
    Size: 501180 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/152adc29-96fd-4616-851c-39d3e30d159d/resource/7ab40a8e-a8b5-45e0-a56c-b3ef34373ed9/download/20240308_rad_bees.csv
    Description: Outdated, use the new resource

diversity-distributions

display_name: diversity-distributions

hymenoptera

display_name: hymenoptera

insects

display_name: insects

urban-beekeeping

display_name: urban-beekeeping

urban-ecology

display_name: urban-ecology

wildbees

display_name: wildbees


en:
This dataset was used to analyse effects of different biodiversity and functional group treatments, fertilizer and fungicide applications as well as weeding of vascular plants on the species richness and species composition of bryophytes for the following publication: Lin M., Bergamini A., Pichon N.A., Allan E, Boch S. 2025. Nitrogen enrichment and vascular plant richness loss reduce bryophyte richness. Scientific Reports.
In this study we surveyed 96 of 216 2 m x 2 m experimental plots of the PaNDiv experiment, a large grassland field experiment in the Swiss lowlands (Pichon et al. 2020). In the PaNDiv experiment four experimental treatments were applied in a full-factorial design manipulating: (1) the nitrogen availability (through fertilization), (2) the presence of fungal pathogens (through fungicide application), (3) the functional composition of the vascular plant community (represented here by community-weighted mean (CWM) SLA), and (4) the vascular plant richness (sowing of either 1, 4, 8 or 20 species). To maintain the original sown vascular plant species richness and composition, one part of each plot (1.5 m × 2 m) was weeded, while the other part has been left unweeded since the beginning of the experiment (0.5 m × 2 m).
On each plot we surveyed two subplots, the unweeded subplot and a weeded subplot of the same area (0.5 m × 2 m). On each subplot we established a complete list of all bryophyte species together with an estimate of their cover.
The provided excel file contains three sheets:
1.	A sheet with raw species lists of all plots surveyed together with information on all treatments and an estimation of the percentage cover of vascular plants in a summer campaign in August 2022. Cover of bryophytes was estimated for each species in percent.
2.	A sheet with a list of all bryophyte species with its growth form (acroarpous/pleurocarpous)
3.	A sheet with some explantations
By means of the provided R code and the data in the excel file, all analyses can be repeated.
More details to the data sampled can be found in Lin et al (2025).

en: biomass species-richness fungicide grassland nitrogen bryophytes moss functional-traits pandiv biodiversity-experiment

envidat

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

en: EnviDat: the Environmental Data Portal

en: Data on bryophyte diversity and treatment factors in the PaNDiv experiment

envi

en: Environment

biodiversity-experiment

display_name: biodiversity-experiment

biomass

display_name: biomass

bryophytes

display_name: bryophytes

functional-traits

display_name: functional-traits

fungicide

display_name: fungicide

grassland

display_name: grassland

moss

display_name: moss

nitrogen

display_name: nitrogen

pandiv

display_name: pandiv

species-richness

display_name: species-richness


dataset-on-new-snow-water-equivalent

en:
This dataset includes quality-controlled measurements of new snow depth (HN), new snow water equivalent (HNW), snow depth (HS), and snow water equivalent (SWE) from 41 stations located in Switzerland for the period from  2016-09-01 to 2022-08-31.
These data are the basis of the following publication: Magnusson J., Cluzet B., Quéno L., Mott R., Oberrauch M., Mazzotti G., Marty C., Jonas T., 2025, Evaluating methods to estimate the water equivalent of new snow from daily snow depth recordings, Cold Regions Science and Technology, https://doi.org/10.1016/j.coldregions.2025.104435.
Abstract
The water equivalent of new snow (HNW) plays a crucial role in various fields, including hydrological modeling, avalanche forecasting, and assessing snow loads on structures. However, in contrast to snow depth (HS), obtaining HNW measurements is challenging as well as time-consuming and is hence rarely measured. Therefore, we assess the reliability of two semi-empirical methods, HS2SWE and ΔSNOW, for estimating HNW. These methods are designed to simulate continuous water equivalent of the snowpack (SWE) from daily HS only, with changes in SWE yielding daily HNW estimates. We compare both parametric methods against HNW predictions from a physics-based snow model (FSM2oshd) that integrates daily HS recordings using data assimilation. Our findings reveal that all methods exhibit similar performance, with relative biases of less than ~3 % in replicating SWE observations commonly used for model evaluations. However, the ΔSNOW model tends to underestimate daily HNW by ~17 %, whereas HS2SWE and FSM2oshd combined with a particle filter data assimilation scheme provide nearly unbiased estimates, with relative biases below ~5 %. In contrast to the parsimonious parametric methods, we show that the physics-based approach can yield information about unobserved variables, such as total solid precipitation amounts, that may differ from HNW due to concurrent melt. Overall, our results underscore the potential of utilizing commonly available daily HS data in conjunction with appropriate modeling techniques to provide valuable insights into snow accumulation processes. Our study demonstrates that daily SWE observations or supplementary measurements like HNW are important for validating the day-to-day accuracy of simulations and should ideally already be incorporated during the calibration and development of models.
Acknowlegements
These data were recorded by SLF observers and staff members. Their contribution is gratefully acknowledged.

en: snowfall new-snow precipitation data-assimilation snow-modelling

en: Dataset on new snow water equivalent

title_for_slug: dataset-on-new-snow-water-equivalent

data-assimilation

display_name: data-assimilation

new-snow

display_name: new-snow

precipitation

display_name: precipitation

snow-modelling

display_name: snow-modelling

snowfall

display_name: snowfall


en:
Description: Fish environmental DNA data set collected in 2021 in the Calanques National Park
The eDNA samples were collected in 2021 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the summer (June to August)and fall (mid-September to November) seasons, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To take into account the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: marseille teleo fish-composition edna marine mediterraneaen

en: Environmental DNA Marine France Calanques 2021

edna

display_name: edna

fish-composition

display_name: fish-composition

marine

display_name: marine

marseille

display_name: marseille

mediterraneaen

display_name: mediterraneaen

teleo

display_name: teleo


en:
Description: Fish environmental DNA data set collected in 2022 in the Calanques National Park
The eDNA samples were collected in 2022 in two locations (Moyades, M−FPA and “Impérial du large”, I-LPA), during the winter (January- February), the summer (June to August)and fall (mid-September to November) seasons, with the sampling dates depending on the weather conditions. For the M−FPA, samples were collected between Moyades island and Riou island, while for the I-LPA, they were collected on the south side of the “Impérial du large” island. To account for the existing bathymetry, in the M−FPA the samples were taken at two sampling sites with depths of 20 and 40 m, while in the I-LPA they were taken at two sites with depths of 20 and 80 m.
At each site, in-situ filtration of seawater was performed using a double-head submersible pump (Subspace, Geneva, Switzerland; nominal flow of ca. 1 L/min) strapped to an underwater scooter with 2 VigiDNA 0.20 µm filtration capsules (SPYGEN, le Bourget du Lac, France), along with disposable sterile tubing. The samples were collected along two horizontal transects (up to 400 m in length) during each closed-circuit rebreather dive, enabling the filtration of a water volume of 15 L/filter per depth, as close as possible to the substrate. Two filter replicates were collected by two divers at each sampling site, except in two cases where bad weather conditions or logistical issues meant that only one replicate was sampled.
After the filtration, the remaining seawater was emptied from the capsule back on the boat and replaced by a 80 mL CL1 conservation buffer (SPYGEN, le Bourget du Lac, France). To prevent any contamination, a strict protocol was followed during the entire process, requiring disposable gloves and single-use filtration equipment. Finally, the samples were stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: marseille teleo edna fish-composition marine mediterraneaen

en: Environmental DNA Marine France Calanques 2022


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

en: alpine-pv snow alps photovoltaic renewable-energy

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

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

format: markdown

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

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

alpine-pv

display_name: alpine-pv

alps

display_name: alps

photovoltaic

display_name: photovoltaic

renewable-energy

display_name: renewable-energy

snow

display_name: snow


en:
This repository contains all observational data sets used for the paper:
Sophia Etzold, Arun K. Bose, Arthur Gessler, Frank Krumm, Katrin Meusburger, Marcus Schaub, Anne Thimonier, Peter Waldner, Roman Zweifel (2026): Decreasing water availability reduces productivity in Swiss forests along an altitudinal gradient, Functional Ecology, https://doi.org/xxxxx.
**Dataset 1**: This dataset contains inventory measurements of individual trees, i.e. species, tree status, DBH (diameter at breast height), height, and BAI (Basal area increment).
**Dataset 2**: This dataset contains plotwise aggregated BAI and NPP data per inventory period, as well as stand and soil properties of the site (N trees, QMD, SDI, meanDBH, foliar N and foliar P, N deposition, LAI, main species) and meteorological parameters (deviation of T, Psum and SWP during vegetation period).
**Dataset 3**: This dataset contains site-specific properties (altitude, age in 2000, main species, Tmean long-term, Psum long-term, soil pH, soil C/N).
**Dataset 4**: This dataset contains annually resolved relative NPP data, based on inventory data (Dataset 2) and annual circumference measurements of individual trees, as well as relative annual Tmax and SWP.

en: drought-stress dendrometer tree-growth carbon-sequestration forest-productivity

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: Dataset  Article “Decreasing water availability reduces productivity in Swiss forests along an altitudinal gradient” Etzold et al.

en:
Resource Title: 4_Annual_NPP_plot.csv
    Size: 98038 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/24458cd4-2a47-45fb-b201-acfb65b186f1/download/4_annual_npp_plot.csv
    Description: #4: Annual NPP per plot
Site: Site name
Subplot: Subplot name
Year
NPPyr_rel: Annual Net Primary Productivity of the stand in relation to long-term mean in [%]
SWP_rel: Mean soil water potential during vegetation period in relation to long-term mean in [%]
Tmax_rel: Maximum temperature during vegetation period in relation to long-term mean in [%]

en:
Resource Title: 1_Treedata_Inventory_BAI.csv
    Size: 3816817 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/47d47817-4612-44bc-9f36-c1f2195d015b/download/1_treedata_inventory_bai.csv
    Description: #1: Treedata_BAI
Site: Site name
Subplot: Subplot name
Treenr: Tree number
SPECIES: Species name
Start.Year: First Year of Inventory
End.Year: Last Year of Inventory
DBH.tree: Diameter at breast height (1.3m) in [cm]
DBH.class: Category of DBH: 'sub': <12cm, '1':small, '2':medium, '3': large
Height: tree height in [m]
Treestatus: Status of tree: '1': alive, '0': dead
BAIyr: Annual basal area increment of tree in [cm2/yr]

en:
Resource Title: 3_Site_properties.csv
    Size: 1011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/62395d0d-330e-4d35-a022-ca8a47a501fd/download/3_site_properties.csv
    Description: #3: Site properties
Site: Site name
Altitude: in [m a.s.l.]
Age_in_2000: Estimated stand age in the year 2000 in [years]
Main_species: Dominant species of the stand
meanT_long: long-term (1995-2020) mean temperature during vegetation period in [°C]
Psum_long: long-term (1995-2020) mean precipitation sum during vegetation period in [mm]
soil_CN: C/N ratio of the soil
soil_pH: PH of the soil

en:
Resource Title: 2_Plotdata_Inventory_NPP_BAI.csv
    Size: 65526 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/05b47422-7f82-45ce-a545-5c6cb14449e6/download/2_plotdata_inventory_npp_bai.csv
    Description: #2: Plotdata_NPP_BAI
Site: Site name
Subplot: Subplot name
INVYEAR: Assigned Year to Inventory (mean over all plots)
INVNR: Inventory number
Csum.yr.gm2: Carbon uptake by growth in [gC/m2/yr]
BAI.yr.m2ha: Basal area increment in [m2/ha/yr]
Ntrees.ha: Number of trees per ha in [N/ha]
QMD: Quadratic mean diameter of all trees in [cm]
SDI: Reineke's Stand density index [-]
meanDBH_plot: mean DBH of all trees per plot in [cm]
LAI: Leaf area index of plot in [m2/m2]
Ndep: total Nitrogen deposition in [kg N/ha/yr]
foliarN_rel: relative foliar N concentration in [%]
foliarP_rel: relative foliar P concentration in [%]
meanT.veg: mean temperature during vegetation period in [°C]
Psum.veg: mean precipitation sum during vegetation period in [mm]
meanSWP.veg: mean soil water potential during vegetation period in [kPa]
dTemp.veg: annual deviation of mean temperature from long-term mean in [%]
dPsum.veg: annual deviation of precipitation sum from long-term mean in [%]
dSWP.veg: annual deviation of mean soil water potential from long-term mean in [%]

carbon-sequestration

display_name: carbon-sequestration

dendrometer

display_name: dendrometer

drought-stress

display_name: drought-stress

forest-productivity

display_name: forest-productivity

tree-growth

display_name: tree-growth


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

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

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

envi

en: Environment

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

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

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

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

format: TIFF

media_type: image/tiff

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

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

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

epidemiology

display_name: epidemiology

flavescence-doree

display_name: flavescence-doree

grapevine-yellows

display_name: grapevine-yellows

nearctic-leafhopper

display_name: nearctic-leafhopper

neobiota

display_name: neobiota


en:
Hourly rooftop photovoltaic (RPV) power generation profiles for Switzerland, covering 12 weather years (2008--2019) and spatially aggregated to the nodes of the Swiss electricity transmission grid. The dataset resolves 48 orientation and tilt combinations, five installation size classes, and three flat roof design scenarios per grid node, providing approximately 8,550 distinct candidate RPV generators nationwide.
 What is in this dataset
- **Hourly generation profiles** (`power`, in Wh) for each grid node, roof orientation, and tilt bin
- **Installed capacity** (`Wp`, in Wp) broken down by size class (1--10, 10--30, 30--100, 100--300, 300--1000 kWp)
- **Normalized capacity factor profiles** (`specificPower`, in Wh/Wp) enabling scaling to arbitrary deployment levels
- **Voronoi grid shapefiles** defining the spatial aggregation zones around each transmission node.
 Flat roof scenarios
Flat roofs (~23% of Swiss roof area) allow different module configurations. Three scenarios are included:
- **Winter** — South-facing, 35° tilt, GCR 0.45 — optimizes winter yield (Oct–Mar)
- **Annual** — South-facing, 15° tilt, GCR 0.70 — optimizes annual yield
- **Flat-EW** — East-West alternating, 15° tilt, GCR 1.04 — maximizes total installed capacity
Tilted roofs (tilt - 0) are identical in all three scenarios.
 Methodology
Generation profiles are derived from satellite-based hourly surface solar radiation data (HelioMont), downscaled to 300 m resolution using the NASADEM digital elevation model with terrain-scale shading and ground reflection ([CH-POA300](https://www.doi.org/10.16904/envidat.632)). The national roof inventory Sonnendach (v1.5) provides orientation, tilt, and area for over 10 million roof surfaces. A simplified PV system model (module efficiency 20%, performance ratio 0.8, roof cover factor 0.7) converts irradiance to AC power output. Only roofs with an installed capacity -= 1 kWp are included.
 Two grid versions
- **v1** —  135 nodes, CRS EPSG:21781
- **v2** —  126 nodes, CRS EPSG:21781
 File format
NetCDF-4 files, one per year and scenario. See `DATA_DESCRIPTION.md` included in the dataset for the full data model, coordinate definitions, and usage examples.

en: photovoltaic energy-transition solar-energy renewable-energy rooftop-pv

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: CH-RPV300: Hourly Rooftop-PV Potential Profiles in Switzerland

en:
Resource Title: profiles_grid_v1.zip
    Size: 5894842614 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/4e34b9ac-b8d5-408f-b9e0-70a559e44a2b/download/profiles_grid_v1.zip
    Description: This archive contains the RPV profiles aggregated using the first version (v1) of the transmission grid, also included.

en:
Resource Title: DATA_DESCRIPTION.md
    Size: 7762 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/78340283-abd2-48e0-82aa-57707c46dc93/download/data_description.md
    Description:

en:
Resource Title: profiles_grid_v2.zip
    Size: 4531190497 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/d6a43092-bdce-4e14-a182-8c37e53b5f65/download/profiles_grid_v2.zip
    Description: This archive contains the RPV profiles aggregated using the second version (v2) of the transmission grid, also included.

energy-transition

display_name: energy-transition

rooftop-pv

display_name: rooftop-pv

solar-energy

display_name: solar-energy


en:
We developed a monitoring system using low-cost lidar (Livox Avia) and optical sensors, to measure snow depth variations in an avalanche release area at a high spatiotemporal scale (centimeter to low decimeter spatial resolution and hourly temporal resolution). A detailed description of the setup and a first data analysis is published in:
[Ruttner, P., Voordendag, A., Hartmann, T., Glaus, J., Wieser, A., & Bühler, Y. (2024). Monitoring snow depth variations in an avalanche release area using low cost lidar and optical sensors. EGUsphere, 2024, 1-20.](https://nhess.copernicus.org/articles/25/1315/2025/)
This dataset contains hourly 3D lidar data of the snow surface at the test site Braemabuel in Davos, Switzerland from the winter season 2023-2024 (23.11.2023 - 14.04.2024). Braema1 is installed at 2191 m a.s.l. in the slope, looking up into the avalache release area, and Braema2 is installed at 2255 m a.s.l at the ridge, looking down. Both scans together cover an area of about 15000 m².
The data is in format ".las" and contains the points in XYZ [m], in the scanner own coordinate system
- scalar fields: intensity, return number, timestamp, tag, label
-- tag: binary code from Livox (see [Livox Avia Manual](https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/Livox%20Avia%20User%20Manual%20202204.pdf))
-- label: marking outliers (filtered by distance and SOR to get snow particles in the air)

en: snow wind-drifted-snow low-cost monitoring lidar avalanche

en: Snow depth mapping by lidar station Braemabuel

en:
Resource Title: Braema2
    Size: 20937965568 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema2_23_24.zip
    Description:

en:
Resource Title: Braema1
    Size: 22441204122 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema1_23_24_v2.zip
    Description:

avalanche

display_name: avalanche

lidar

display_name: lidar

low-cost

display_name: low-cost

monitoring

display_name: monitoring

wind-drifted-snow

display_name: wind-drifted-snow


en: Photosynthetic thermal tolerance estimates for 36 tropical species following the static water bath method and measuring maximum quantum yield (Fv/Fm). Thermal tolerance assays were performed once each in near-darkness (~4 μmol photons m^-2 s^-1) and in sub-saturating light (280 μmol photos m^-2 s^-1).

en: thermal-tolerance photosystem-ii tropical-plants irradiance chlorophyll-fluorescence photoinhibition tcrit

en: Light exposure reshapes photosynthetic thermal tolerance curves, with idiosyncratic responses across 36 species.

envi

en: Environment

chlorophyll-fluorescence

display_name: chlorophyll-fluorescence

irradiance

display_name: irradiance

photoinhibition

display_name: photoinhibition

photosystem-ii

display_name: photosystem-ii

tcrit

display_name: tcrit

thermal-tolerance

display_name: thermal-tolerance

tropical-plants

display_name: tropical-plants


en:
This dataset includes measurements of lethal temperatures (LT) of buds and leaves collected in winter and spring 2025, along with phenological observations recorded during 2024–2025 in a forest plantation in Switzerland. The data were collected to assess frost tolerance and phenological timing in native and non-native tree species under current climatic conditions.
The species investigated are Abies bornmuelleriana, Abies alba, Cedrus libani, Fagus orientalis, Fagus sylvatica, Tilia tomentosa, Tilia platyphyllos, and Quercus petraea.
Publications related to original data set: https://doi.org/10.1016/j.foreco.2026.123788

en: abies-alba climate-warming fagus-orientalis frost-risk tilia-platyphyllos abies-bornmuelleriana bud-break fagus-sylvatica cedrus-libani quercus-petraea spring-phenophases tilia-tomentosa frost-hardiness phenology

en: Frost hardiness and phenological events of native and non-native species in Switzerland

en:
Resource Title: Mutrux(CH)_Phenology2024-2025.csv
    Size: 17961 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/193dcaf9-38b1-49b7-9895-2aeaacbf4893/resource/4cbd7f00-42a5-4b91-95ba-25c204fac81d/download/mutruxch_phenology2024-2025.csv
    Description: The dataset contains measurements of phenological development assessed using a six-stage categorical scale, ranging from stage 0 (dormant buds with no visible development) to stage 5 (fully unfolded leaves and needles).

en:
Resource Title: Mutrux(CH)_Frost_hardiness.csv
    Size: 29338 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/193dcaf9-38b1-49b7-9895-2aeaacbf4893/resource/db481da7-1b4f-411b-b9fd-3fb3bea25d11/download/mutruxch_frost_hardiness.csv
    Description: The dataset contains measurements of frost lethal temperatures for buds and leaves of native and non-native species in Switzerland. It also includes the geographic coordinates of the study site and information on the origin of the seed material used for the non-native species.

abies-alba

display_name: abies-alba

abies-bornmuelleriana

display_name: abies-bornmuelleriana

bud-break

display_name: bud-break

cedrus-libani

display_name: cedrus-libani

climate-warming

display_name: climate-warming

fagus-orientalis

display_name: fagus-orientalis

fagus-sylvatica

display_name: fagus-sylvatica

frost-hardiness

display_name: frost-hardiness

frost-risk

display_name: frost-risk

phenology

display_name: phenology

quercus-petraea

display_name: quercus-petraea

spring-phenophases

display_name: spring-phenophases

tilia-platyphyllos

display_name: tilia-platyphyllos

tilia-tomentosa

display_name: tilia-tomentosa


en:
Research question / purpose
Timber is widely used for protection measures in torrent control. However, life span of woody constructions such as timber check dams is limited mainly due to fungal decay. In practice a controversial discussion has been going on if either Norway spruce (Picea abies) or silver fir (Abies alba) is more enduring and if bark removal increases resistance against fungal decay.
Description
This dataset contains monitoring information on a series of 15 timber check dams built in 1996 in Hergiswil, Switzerland. The constructions were alternatively realised with Norway spruce and silver fir, half of them each with remaining and removed bark, respectively. The data includes the identification of decayed zones with a simple practical approach (i.e. measurement of the penetration depth of a slotted screwdriver No. 3) from a total of 12 repeated surveys from 2001 to 2025.
The following information is contained (by column and column title):
•	Identification of decayed zone (column title “Decay_Id”)
•	Year of survey (column title “Year”)
•	Identification of check dam (column title “Check dam”)
•	Degree of decay (column title “Degree of decay”): 2 = reduced wood strength (penetration depth 2-10 mm); 3 = low wood strength (penetration depth - 10 mm)
•	Sectors 1 to 7 of check dams (column title “Sector”)
•	Element of check dam (column title “Element”): LH (longitudinal log, German: “Längsholz”), Z (transverse log, German: “Zange”), FH (infill log, German: “Füllholz”)
Plan of check dams and additional information on monitoring surveys: survey information (PDF)

en: timber-structure torrent-control fungal-decay check-dam long-term-behaviour

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: Long-term behaviour of timber constructions in torrent control

en:
Resource Title: Survey Information.pdf
    Size: 357932 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/25bbe989-95e3-4705-9807-248a0ab14884/resource/37048955-41d9-4145-96cd-90c3edc4c83b/download/survey-information.pdf
    Description:

en:
Resource Title: decay_envidat.csv
    Size: 13209 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/25bbe989-95e3-4705-9807-248a0ab14884/resource/7db6f23d-ff20-4991-a626-616e2be7aa65/download/decay_envidat.csv
    Description:

check-dam

display_name: check-dam

fungal-decay

display_name: fungal-decay

long-term-behaviour

display_name: long-term-behaviour

timber-structure

display_name: timber-structure

torrent-control

display_name: torrent-control