de: EnviDat

en:
This data set includes synchronized and independently measured water discharge, bedload transport and at-a-point bedrock erosion data in 1 minute resolution and over more than 1.5 years from the Erlenbach stream hydrological observatory, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. These measurements are of high accuracy, which have been assessed in Beer, A.R. et al. 2015. Earth Surf. Proc., 40, 530-541. doi: 10.1002/esp.3652. For the artificial bedrock (a slab of weak concrete, fixed flush with the streambed) 6 additional consecutive spatial elevation data sets of 1 mm resolution have been surveyed that allow the local continuous erosion measurements to be extended to the patch scale.
This unique data set has been used to validate and calibrate bedrock erosion models for the process to intermediate scales of time (and space), whose performance then was assessed over extended time (up to bicentennial floods), based on available longer data sets of linked discharge and bedload transport (see related datasets).

en: Linked water discharge, bedload transport and bedrock erosion data set in 1minute resolution

en: bedload-transport modelling scaling surveying mountain-stream bedrock-erosion

envidat

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

en: EnviDat: the Environmental Data Portal

envi

de: Umwelt

de:
Resource Title: Linked discharge, bedload and erosion data
    Size: 30554475 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/f3448762-eb7a-4757-8374-3dc924329af7/download/envidat-repository-data.csv
    Description: This is the synchronized water discharge [m3/s], bedload transport [kg/min] and vertical bedrock erosion of 3 sensors [mm] data in 1min resolution

de:
Resource Title: Mean bedrock slab erosion
    Size: 85 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/5ad00781-8f75-4457-ae4e-7ae2ddbbab28/download/envidat-mse.csv
    Description: This is the mean bedrock slab erosion data (MSE in [m]) for all 5 surveying epochs, based on millions of individual surface point surveys.

bedload-transport

display_name: bedload-transport

bedrock-erosion

display_name: bedrock-erosion

modelling

display_name: modelling

mountain-stream

display_name: mountain-stream

scaling

display_name: scaling

surveying

display_name: surveying


$oid: OBSOLETE

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

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

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.

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

en: Metabarcoding of urban and forest bird faecal samples

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

en: Environment

fr: Environnement

it: Ambiente

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

format: ZIP

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

arthropoda

display_name: arthropoda

birds

display_name: birds

dna-metabarcoding

display_name: dna-metabarcoding

trophic-networks

display_name: trophic-networks

urban-biodiversity

display_name: urban-biodiversity


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

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

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

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

media_type: application/zip

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

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

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

format: TXT

media_type: text/plain

catchment

display_name: catchment

crispr-dx

display_name: crispr-dx

edna

display_name: edna

mammals

display_name: mammals

metabarcoding

display_name: metabarcoding

national-park

display_name: national-park


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

en: ins16s insect minion switzerland edna drone

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

drone

display_name: drone

insect

display_name: insect

minion

display_name: minion

switzerland

display_name: switzerland


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

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

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

format: OCTET

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

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

format: PDF

media_type: application/pdf

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

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

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

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

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

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

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

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

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

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

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

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

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

field-data

display_name: field-data

forest

display_name: forest

restoration

display_name: restoration

traffic-noise

display_name: traffic-noise

urban-landscape

display_name: urban-landscape


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

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

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Compilation of normalized  crack propagation speeds

envi

de: Umwelt

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

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

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

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

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

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

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

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

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

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

crack-propagation

display_name: crack-propagation

crack-speed

display_name: crack-speed

dry-snow-avalanche

display_name: dry-snow-avalanche

numerical-simulations

display_name: numerical-simulations

weak-layer

display_name: weak-layer


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

en: fish colombia magdalena teleo vert01 edna metabarcoding

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: Environmental DNA Freshwater Colombia Magdalena 2022

colombia

display_name: colombia

edna

display_name: edna

fish

display_name: fish

magdalena

display_name: magdalena

teleo

display_name: teleo


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

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

envidat

en: EnviDat: the Environmental Data Portal

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

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

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

ecological-niche

display_name: ecological-niche

forest-dynamics

display_name: forest-dynamics

forest-inventory

display_name: forest-inventory

mortality-rate

display_name: mortality-rate

temperate-forests

display_name: temperate-forests

tree-mortality

display_name: tree-mortality


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

en: edna metabarcoding fish senegal teleo

envidat

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.

en: Environmental DNA Freshwater Senegal Casamance 2018

envi

en: Environment

metabarcoding

display_name: metabarcoding

senegal

display_name: senegal


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

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

envidat

de: EnviDat: das Umwelt-Datenportal

en: Environmental DNA Marine France Evhoe 2021

actinopterygii

display_name: actinopterygii

atlantic-region

display_name: atlantic-region

bay-biscay

display_name: bay-biscay

chondrichthyes

display_name: chondrichthyes

fish-composition

display_name: fish-composition


en:
To assess the possible consequences of potential changes in snow accumulation and temperature and their impact on avalanche hazard, we introduce a comprehensive multi-step framework. It includes the analysis of climate change scenarios as well as the modeling of future snow covers and the simulation of avalanches in a case study region in central Switzerland.
Using a downscaling and a quantile mapping approach, we considered the high emission RCP8.5 from the CH2018 Swiss climate change scenarios and simulated a potential snow cover of more than 100 future winters with the snow cover model SNOWPACK. Changing snow accumulation and snow cover temperature was taken into account for two future time frames. The changed parameters were used in the RAMMS::EXTENDED avalanche simulation software on large scale.

en: avalanche-mapping hazard climate-change ramms new-snow avalanche

de: EnviDat

en: A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping

avalanche

display_name: avalanche

avalanche-mapping

display_name: avalanche-mapping

climate-change

display_name: climate-change

hazard

display_name: hazard

new-snow

display_name: new-snow

ramms

display_name: ramms


en: By using hazard scenarios based on CH2018 climate projections and the RAMMS avalanche model, we generated large-scale hazard indication maps for future avalanche hazards. By employing the open-source probabilistic risk assessment platform CLIMADA, along with building data and vulnerability functions, we estimated risks for the present time and two future time frames: mid-century (2060) and the end of the century (2085). An uncertainty and sensitivity analysis complemented the study to account for potential fluctuations in model assumptions. The data contains the hazard information and data used for the Climada risk analysis.

en: climate-change ramms avalanche risk climada snow-avalanche

en: Assessing the impacts of climate change on snow avalanche-induced risk in alpine regions

envi

de: Umwelt

climada

display_name: climada

risk

display_name: risk

snow-avalanche

display_name: snow-avalanche


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology
Please cite this paper together with the citation for the datafile.
We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

en: Anthropogenic change and soil net N mineralization

en: nitrification mineralization fertilization climate nutrient-network grassland global-change nitrogen soil ammonification herbivore

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.

format: XLS

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil


en:
Monitoring terrestrial mammals through eDNA in rivers of northern Namibia
In 2022, we collected 20 water samples from 10 stations two rivers of Namibia. Samples were taken from the side of the river. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 minutes, during which approximately 30 liters of water were filtered through each capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). We used eDNA primers targeting bacteria, bivalves, fish, vertebrates (V05) and all Eukaryotes (Euka03). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: bivalves eukaryotes namibia edna metabarcoding

envidat

en: EnviDat: the Environmental Data Portal

en: Environmental DNA Freshwater Namibia Namibia 2022

bivalves

display_name: bivalves

edna

display_name: edna

eukaryotes

display_name: eukaryotes

metabarcoding

display_name: metabarcoding

namibia

display_name: namibia


en: This dataset provides data on the occurrence of 672 European bryophyte species in European countries or territories. All species which are considered threatened or near threatened according to the European Red List (Hodgetts et al. 2019) are included (553 species). Further, all species evaluated in the European Red List assessed as LC, DD, NE and EX, which at the same time are either endemic, near endemic or globally rare, are included (119 species). Therefore, the list contains not only all European bryophyte species that are threatened or near threatened, but also all species endemic or near endemic to Europe as well as all globally rare species occurring in Europe. For each of the 553 threatened or near threatened species, we provide a conservation a priority score which was calculated based the Red List status and the proportion of the European population of the global population or the global rarity of the species. For details on the prioritisation approach see Bisang et al. (2025).

en: red-list conservation-priority europe range-size rarity bryophytes endemic

en: Priority ranking for the conservation of all European bryophyte species - dataset

envi

en: Environment

bryophytes

display_name: bryophytes

conservation-priority

display_name: conservation-priority

endemic

display_name: endemic

europe

display_name: europe

range-size

display_name: range-size

rarity

display_name: rarity

red-list

display_name: red-list


en:
CHELSACanaryClim is a high-resolution, terrain-informed downscaling model developed specifically for the Canary Islands. It builds on the CHELSA v1.2 framework and integrates extensive local meteorological station data to refine temperature and precipitation estimates. The model incorporates high-resolution elevation data (down to 5 m), planetary boundary layer height, and ERA-Interim reanalysis inputs to simulate fine-scale climatic variation in mountainous island terrain.
CHELSACanaryClim-climatologies is a very-high resolution climate dataset generated with the CHELSACanaryClim downscaling model. It consists of monthly climatologies of air-temperatures and precipitation.

en: air-temperature climate precipitation canaries climatologies

en: CHELSACanaryClim-climatologies

de:
Resource Title: CHELSACanaryClim-climatologies: Daily Minimum Near-Surface Air Temperature
    Size: 104857600 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsa01%2F&prefix=chelsa_canaryclim%2Fcanaries%2Fclimatologies%2Ftasmin%2F
    Description: Daily Minimum Near-Surface Air Temperature

Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.

Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSACanaryClim-climatologies: Precipitation
    Size: 83886080 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsa01%2F&prefix=chelsa_canaryclim%2Fcanaries%2Fclimatologies%2Fpr%2F
    Description: Precipitation

Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.

Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSACanaryClim-climatologies: Daily Maximum Near-Surface Air Temperature
    Size: 104857600 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsa01%2F&prefix=chelsa_canaryclim%2Fcanaries%2Fclimatologies%2Ftasmax%2F
    Description: Daily Maximum Near-Surface Air Temperature

Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.

Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSACanaryClim-climatologies: Daily Mean Near-Surface Air Temperature
    Size: 83886080 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsa01%2F&prefix=chelsa_canaryclim%2Fcanaries%2Fclimatologies%2Ftas%2F
    Description: Daily Mean Near-Surface Air Temperature

Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.

Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

air-temperature

display_name: air-temperature

canaries

display_name: canaries

climate

display_name: climate

climatologies

display_name: climatologies

precipitation

display_name: precipitation


en:
CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes commonly used climate variables for impact modeling, such as air temperature, precipitation, humidity, solar radiation, wind speed, and derived variables.
CHELSAch-highres-climatologies is a high resolution climate dataset generated with the CHELSA downscaling model. It consists of long term - 30 year mean aggregated surface variables.
Climatological summaries are provided for: Near-Surface Wind Speed, Daily Mean Near-Surface Air Temperature, Daily Maximum Near-Surface Air Temperature, Daily Minimum Near-Surface Air Temperature. Air Temperature Lapse Rate, Total Cloud Cover Percentage, Precipitation, Surface Downwelling Shortwave Flux in Air
Files are provided in NetCDF format with standardized metadata.

en: precipitation humidity wind-speed air-temperature solar-radiation air-pressure climate

en: CHELSAch-highres-climatologies at high resolution

de:
Resource Title: CHELSAch-highres-climatologies: Daily Maximum Near-Surface Air Temperature
    Size: 129184563 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fch%2Fclimatologies%2Ftasmax%2F
    Description: Climatologies of Daily Maximum Near-Surface Air Temperature

Files are provided in NetCDF format with standardized metadata.

Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSAch-highres-climatologies: Daily Mean Near-Surface Air Temperature
    Size: 129184563 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fch%2Fclimatologies%2Ftas%2F
    Description: Climatologies of Daily Mean Near-Surface Air Temperature

Files are provided in NetCDF format with standardized metadata.

Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSAch-highres-climatologies: Precipitation
    Size: 129184563 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fch%2Fclimatologies%2Fpr%2F
    Description: Climatologies of Precipitation

Files are provided in NetCDF format with standardized metadata.

Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

de:
Resource Title: CHELSAch-highres-climatologies: Daily Minimum Near-Surface Air Temperature
    Size: 129184563 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fch%2Fclimatologies%2Ftasmin%2F
    Description: Climatologies of Daily Minimum Near-Surface Air Temperature

Files are provided in NetCDF format with standardized metadata.

Each file encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

air-pressure

display_name: air-pressure

humidity

display_name: humidity

solar-radiation

display_name: solar-radiation

wind-speed

display_name: wind-speed


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Schütz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2
Please cite this paper together with the citation for the datafile.
We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/

en: soil-biology worldwide soil-chemistry soil nutrient-network grassland mineralization global

global

display_name: global

grassland

display_name: grassland

mineralization

display_name: mineralization

nutrient-network

display_name: nutrient-network

soil

display_name: soil

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

worldwide

display_name: worldwide


en: This work presents the numerical study of the thermal stabilisation methods to slow this permafrost thawing, protecting from landscapes and infrastructure damaging at an alpine site. We investigate different methods based on passive and active cooling system. The best approach mixes both methods and manages heat flow, potentially allowing excess energy to be used locally. This dataset allows one to test and check the different thermal stabilisation methods.

en: thermal-insulation climate-change permafrost thermal-stabilisation barrier-layer permafrost-degradation heat-pump solar-energy swiss-alps cooling-pipes

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: Assessment of thermal stabilisation measures based on numerical simulations at a Swiss Alpine permafrost site

barrier-layer

display_name: barrier-layer

climate-change

display_name: climate-change

cooling-pipes

display_name: cooling-pipes

heat-pump

display_name: heat-pump

permafrost

display_name: permafrost

permafrost-degradation

display_name: permafrost-degradation

solar-energy

display_name: solar-energy

swiss-alps

display_name: swiss-alps

thermal-insulation

display_name: thermal-insulation

thermal-stabilisation

display_name: thermal-stabilisation


en:
Species range limits are expected to be dramatically altered under future climate change and many species are predicted to shift their distribution upslope to track their suitable conditions (i.e. based on their niche). However, there might be large discrepancies between the speed of the upward shift of the climatic niche and the actual migration velocity of the species, especially in long-lived organisms such as trees. Here, we compared the simulations of the upslope displacement of the bioclimatic envelope of 16 tree species inhabiting temperate mountain forests under ongoing and future climate change obtained by correlative species distribution models (SDMs) to those from a dynamic forest model accounting for dispersal, competition and demography. We then partitioned the discrepancy in upslope migration velocity between the SDMs and the dynamic forest model into different components by manipulating dispersal limitation, interspecific competition and demography.
This dataset contains the calibration and evaluation data used to create the bioclimatic envelope models, the predictors for the future scenarios (raster layers) and the bioclimatic input data used in the dynamic forest models used in the following publication (Scherrer et al. 2020).
Paper Citation:
Scherrer, D., Vitasse, Y., Guisan , A., Wohlgemuth, T., & Lischke, H. (2020). Competition and demography rather than dispersal limitation slow down upward shifts of trees’ upper elevation limits in the Alps. Journal of Ecology, in press.

en: Factors slowing down upward shifts of trees’ upper elevation limits

en: climate-change-impact treemig sdm mountain-forest treeline

envidat

en: EnviDat: the Environmental Data Portal

de:
Resource Title: Bioclimatic data for TreeMig
    Size: 577449363 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/e2a4c17d-2b94-4d5e-8b3d-85c670b94285/download/treemig_bioclim_1500-2500.zip
    Description: Bioclimatic input data used for the TreeMig models in Scherrer et al. 2020. Data spans the whole simulation period of 1500 until 2500 and covers three different climate change scenarios.

de:
Resource Title: Data for bioclimatic envelope model
    Size: 2745109 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/cbd5e811-0e38-45ed-b00e-fe7a86ed88db/download/species_environmental_calibrationevaluation.csv
    Description: This spreadsheet provides the data used to calibrate and evaluate the bioclimatic envelope models (SDMs) for our 16 target tree species. For copyright reasons the geographic coordinates of the points have been removed and only relevant information in the environmental space is provided.

format: CSV

media_type: text/csv

de:
Resource Title: Bioclimatic predictors used for future projections
    Size: 4002741 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/dcd9614c-30b0-4d36-ab09-2196b3b0ef7c/download/predictors.zip
    Description: The seven bioclimatic predictors (mean annual temperature, minimum temperature of the coldest month, temperature of the driest quarter, annual sum of precipitation, sum of precipitation of the driest quarter, slope and topographic position (concave-convex) used for correlative SDMs in Scherrer et al. 2020. Data for climate is available for both current (1981-2010) and future (2020-49, 2045-74,2070-99).

climate-change-impact

display_name: climate-change-impact

mountain-forest

display_name: mountain-forest

sdm

display_name: sdm

treeline

display_name: treeline

treemig

display_name: treemig


en:
Background information
The availability of nitrogen (N) and phosphorus (P) is considered to be a major factor limiting growth and productivity in terrestrial ecosystems globally. This project aimed to determine whether the growth stimulation documented in previous short‐term fertilisation trials persisted in a longer‐term study (12 years) in the treeline ecotone, and whether possible negative effects of nutrient addition offset the benefits of any growth stimulation.
Over the course of the 12 study years, NPK fertiliser corresponding to 15 or 30 kg N ha−1 a−1 was added annually to plots containing 30‐year‐old *Larix decidua* or 32‐year-old *Pinus uncinata* individuals with an understorey of mainly ericaceous dwarf shrubs. To quantify growth, annual shoot increments of trees and dwarf shrubs as well as radial growth increments of trees were measured. Nutrient concentrations in the soil were also measured and the foliar nutritional status of trees and dwarf shrubs was assessed.
 Experimental design
Over an elevation gradient of 140 m across the treeline afforestation site Stillberg, 22 locations were chosen that covered the whole range of microenvironmental conditions (*see* Nutrient addition experimental design.png). Half of the blocks included European larch (*L. decidua*) and the other half included mountain pine (*P. uncinata*). Within each block, three plantation quadrats were randomly selected as experimental plots and each plot was assigned to a control (no fertilisation) or to one of two fertiliser dose treatments (15 kg and 30 kg N ha−1 a−1). Treatments were assigned randomly but confined so that the location of fertilised plots within a block was not directly above control plots to avoid nutrient input from drainage. For details about the experiment, *see* Möhl et al (2019).
 Data description
The available datasets contain climate variables (2004-2016), nutrient isotope measurements (2010 & 2016), shrub growth measurements (2004-2016), soil parameter measurements and annual ring and shoot measurements (2004-2016). All data can be found here:
-https://figshare.com/articles/dataset/Twelve_years_of_low_nutrient_input_stimulates_growth_of_trees_and_dwarf_shrubs_in_the_treeline_ecotone/7025858-

en: tree-rings nitrogen-isotope dwarf-shrubs stillberg fertilization treeline

en: Nutrient addition experiment at the Alpine treeline site Stillberg, Switzerland

envi

en: Environment

de:
Resource Title: Metadata Nutrient Addition Stillberg Experimental Design
    Size: 1327266 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/3bc7cad9-38af-453a-8f1e-3afb23000c62/resource/3874f6f4-be83-403a-b2f8-ab1a0dd465d3/download/nutrient_addition_experimental_design.png
    Description: Nutrient addition map of the study area with the investigated plots. Each circle (study block) contains one control plot and two plots that received NPK fertilizer corresponding to 15 (NPK15) or 30 (NPK30) kg N ha-1 a-1. Contour lines specify the elevation (m a.s.l.) in steps of 10 m.

format: PNG

media_type: image/png

de:
Resource Title: Data Nutrient Addition Stillberg
    Size: 339539 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3bc7cad9-38af-453a-8f1e-3afb23000c62/resource/1eb39a79-2953-4aee-b7f0-b63744fef1e0/download/7025858.zip
    Description: This link leads to the figshare repository, which contains all nutrient addition data.

dwarf-shrubs

display_name: dwarf-shrubs

fertilization

display_name: fertilization

nitrogen-isotope

display_name: nitrogen-isotope

stillberg

display_name: stillberg

tree-rings

display_name: tree-rings


experimental-rockfall-trilogy-of-surava

en: We performed an experimental trilogy of induced rockfall experiments in a spruce stand in Surava (CH) within (i) the original forest, (ii) after a logging job, resulting in lying deadwood and (iii) the cleared, deadwwod-free state. The three experimental set-ups allow quantifying the deadwood effect on overall rockfall risk for the same forest (slope, species) in three different conditions.

en: forest gyroscope induced-rockfall rockfall gnss deposition-points lying-deadwood in-situ acceleration

envidat

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.

en: Experimental rockfall trilogy of Surava

title_for_slug: experimental-rockfall-trilogy-of-surava

de:
Resource Title: StoneNode Data Analysis Surava
    Size: 37282 bytes
    Format: application/vnd.wolfram.mathematica.package
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/a1df211b-e2f9-40b7-86fe-b39624fe195a/download/surava_gyr_analysis_20210928_vfinal.m
    Description: Matlab script to detect frontal impacts (FI) on opposing objects within the in situ gathered StoneNode gyroscopic data of the Surava rockfall trilogy.

de:
Resource Title: In situ sensor data cleared area
    Size: 50806879 bytes
    Format: application/x-matlab
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/dbad6e48-4c45-4e81-9345-fdb98c37c584/download/clr_data.mat
    Description: Matlab structure of all used StoneNode sensors which were several times released into the cleared forest state.

de:
Resource Title: ReleasePoint
    Size: 2360 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/e57401a7-b80d-4055-838c-5582710f870b/download/release_lv95.zip
    Description: Zipped shape file of releasepoint used in RAMMS::ROCKFALL Simulations. Slightly shiftet from originally measured in DNSS Position, as this position was on the flat forest road.

de:
Resource Title: Trees_Surava_DW_CLR
    Size: 29181 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/f1fea988-8bb2-40b4-a085-d2f2b3bea9e4/download/surava_trees_dw_clr.zip
    Description: Standing trees after forest management intervention

de:
Resource Title: In situ sensor data original forest
    Size: 49732594 bytes
    Format: application/x-matlab
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/dde076b7-f5a8-4943-953d-8a66559d1b4d/download/org_data.mat
    Description: Matlab structure of all used StoneNode sensors which were several times released into the original forest state.

de:
Resource Title: DEM_Surava_5cm_Resolution
    Size: 116938116 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/f75eab92-8c62-45e0-b2b9-4729e244b241/download/dhm.asc
    Description: Used DEM of the site, based on the LiDAR Pointcloud

format: pgp-keys

de:
Resource Title: In situ sensor data deadwood
    Size: 19834192 bytes
    Format: application/x-matlab
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/9ab17365-ef04-4fce-b9bc-8fa50a57123c/download/dw_data.mat
    Description: Matlab structure of each In situ StoneNode sensor installed in different rocks and several released through the Deadwood forest state.

de:
Resource Title: Trees_Surava_ORG
    Size: 25380 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4da88d3f-5627-40d2-843d-c884a31238b1/resource/9dd5d8be-6e7e-429d-a6c2-3237cfc6dc84/download/trees_surava.zip
    Description: Zipped shapefile of the measured and in RAMMS::ROCKFALL used trees for the original (ORG) forest state.

acceleration

display_name: acceleration

deposition-points

display_name: deposition-points

forest

display_name: forest

gnss

display_name: gnss

gyroscope

display_name: gyroscope

in-situ

display_name: in-situ

induced-rockfall

display_name: induced-rockfall

lying-deadwood

display_name: lying-deadwood

rockfall

display_name: rockfall


ensemble-hydrograph-separation-scripts

en:
Calculation scripts that perform ensemble hydrograph separation.  Identical scripts in R and MATLAB are provided, along with demonstration input time series and the corresponding outputs.  These scripts were tested on R version 3.6.2 (2019-12-12) and on MATLAB versions 2018b and 2109b.
These scripts are made publicly available under GNU General Public License 3; for details see https://www.gnu.org/licenses/.
ETH Zurich, WSL, James Kirchner, and Julia Knapp make ABSOLUTELY NO WARRANTIES OF ANY KIND, including NO WARRANTIES, expressed or implied, that this software is free of errors or is suitable for any particular purpose.  Users are solely responsible for determining the suitability and reliability of this software for their own purposes.

en: catchment runoff tracers isotopes hydrograph-separation streamflow

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Ensemble hydrograph separation scripts

title_for_slug: ensemble-hydrograph-separation-scripts

envi

de: Umwelt

de:
Resource Title: R scripts and demonstration files
    Size: 235119 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ddc39d77-c0a3-4a8c-858a-efda8b6dffd9/resource/212f3a19-0530-4cd9-b10d-cd387ac98018/download/ehs-v1.4-r-scripts-and-demo-files.zip
    Description: The ensemble hydrograph separation functions themselves are in EHS_v1.4.R.

EHS_demo_v1.4.R is a demonstration script that calls EHS_v1.4.R to analyze the demo input files.  The resulting output files are in the "demo output files" folder.

de:
Resource Title: *deprecated* MATLAB scripts and demonstration files (*deprecated version* - build 20200718 - do not use!)
    Size: 227403 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ddc39d77-c0a3-4a8c-858a-efda8b6dffd9/resource/bd43b9fb-7fda-4c26-a38c-31016f035429/download/ehs-v1.4-matlab-scripts.zip
    Description: The ensemble hydrograph separation functions themselves are in EHS_Fnew.m, EHS_profile.m, and EHS_TTD.m.

EHS_demo_RUN_THIS.m is a demonstration script that calls the EHS functions to analyze the demo input files. The resulting output files are in the "demo output files" folder.  These were generated by the R versions of the scripts but have been verified to be numerically equal to the MATLAB outputs, within machine precision.

de:
Resource Title: MATLAB scripts and demonstration files (current version - build 20201119)
    Size: 178465 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ddc39d77-c0a3-4a8c-858a-efda8b6dffd9/resource/27da91e3-24b1-4d76-883e-37619652d785/download/ehs-v1.4-matlab-scripts-build-20201119.zip
    Description: The ensemble hydrograph separation functions themselves are in EHS_Fnew.m, EHS_profile.m, and EHS_TTD.m.

Build 20201119 has improved commenting, naming, and structuring, and also minor bug fixes in EHS_Fnew, EHS_TTD, and EHS_profile.  Build 20200718 has been deprecated.  Use build 20201119 instead.

EHS_demo_RUN_THIS.m is a demonstration script that calls the EHS functions to analyze the demo input files. The resulting output files are in the "demo output files" folder.  These were generated by the R versions of the scripts but have been verified to be numerically equal to the MATLAB outputs, within machine precision.

catchment

display_name: catchment

hydrograph-separation

display_name: hydrograph-separation

isotopes

display_name: isotopes

runoff

display_name: runoff

streamflow

display_name: streamflow

tracers

display_name: tracers


en:
Alpine3D (A3D) runs between 1950 and 2022 in hourly resolution. Simulations are run for every year separately (year n = Sept. n-1 to Aug. n), starting again with no snow every 1st of September (i.e. there is no snow accumulation from year to year).
Meteorological conditions over the past 70 years were obtained from several datasets: ERA5 providing the hourly data over the full 1950-2022 period, IMIS and MeteoSuisse allowing to validate and correct the downscaled ERA5 data. ERA5 data were downscaled to a 50m grid using Toposcale (Fiddes et al., 2015) (see also https://github.com/joelfiddes/toposcale). This downscaling tool allowed us to obtain a 50 m grid from the ERA5 data including the effect of the local topography. The meteorological input data was further sued to run the 3-dimensional snow model Alpine 3D.
Temperature correction is based on an additive delta change correction following the procedure using harmonic functions filtering described by Michel et al. (2021). Given the hourly timestep provided by ERA5 and Toposcale, we defined an hourly delta change. In practice, this was done by repeating 24 times the delta-change derivation from Michel et al.  (2021) to obtain a day-of-the-year delta for each of the 24 hours of the day.
The simulation covers the slope at Spitze Stei region with  precipitation scaled using snow height measured by a drone flight. One of the 70 years runs was computed with a precipitation redistribution with the idea to mimic snow transport and preferential deposition. The precipitation redistribution grid was based on a single snow height measurement: one snow-free drone flight on 01.10.2021 and one peak snow season flight on 27.03.2022. The precipitation on each pixel is computed as i) multiplying the disaggregated KAS precipitation by the average slope elevation. ii) multiplying that value on each pixel with the weight obtain from the snow height as HS pixel/HS mean.

en: Alpine3D Climate Data

snow-climatology

display_name: snow-climatology

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth


en:
The data consists of a collection of environmental data, tree-ring width and intra-annual δ13C measurements of tree rings of three conifer species (Pinus sylvestris, Picea abies, Abies alba), and the R scripts that were used to analyse the data. Data was collected at two pairs of north and south exposed sites in Switzerland, in the Eastern Grisons (Surava North and Surava South) and Central Valais (Buthan and Lens).
Intra-annual δ13C measurements were obtained using the laser ablation technique, which involved 10 sequential shots per ring. Shot 1 represents the δ13C value at the start of the ring, while Shot 10 corresponds to the δ13C value at the end of the ring's formation. Overall, the datasets consist of 400 profiles and 4000 isotope measurements.
Environmental data was collected at each site over decade, from 2012 to 2023. Key environmental variables include temperature, vapour pressure deficit (VPD), and soil water potential (SWP). Precipitation data was obtained from the EOBS v29.0e dataset (https://www.ecad.eu/download/ensembles/download.php) from the closest grid point. All data was aggregated on an hourly to daily scale.
In addition to environmental data, dendrometer data was used to derive the onset days, beginning of growth for each site (Onset_days.Rds). The data captures the dynamic relationship between environmental factors, such as soil and air moisture, and tree physiological responses, as reflected in δ13C variation. This dataset provides insights into the intra-seasonal interactions between environmental conditions and tree physiology. We provide the scripts for the main analyses performed in the Vitali, V. et al. 2025 article listed below, including the correlation of the isotope intra-annual time series with environmental variables.
This dataset contains all data on which the publication listed below is based.
Please cite this paper together with the citation for the datafile.

en: tree-ring stable-isotopes pinus-sylvestris vpd soil-water abies-alba picea-abies drought dendrochronology

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: 10 years of intra-annual carbon isotopes in tree rings from 3 conifer species

abies-alba

display_name: abies-alba

dendrochronology

display_name: dendrochronology

drought

display_name: drought

picea-abies

display_name: picea-abies

pinus-sylvestris

display_name: pinus-sylvestris

soil-water

display_name: soil-water

stable-isotopes

display_name: stable-isotopes

tree-ring

display_name: tree-ring

vpd

display_name: vpd


en:
The WFJ_RHOSSA dataset contains multi-instrument, multi-resolution snow stratigraphy measurements  for the seasonal evolution of the snowpack from the Weissfluhjoch research site, Davos, Switzerland.
The measurements were initiated during the RHOSSA field campaign conducted in the winter season 2015–2016 with a focus on density (RHO) and specific surface area (SSA) measurements.
The Instruments and methods used in the campaign at different spatial and temporal resolution are: SnowMicroPen, Density Cutter, IceCube, Traditional profiles, Stability tests and X-ray tomography. The measurements are complemented by simulation data from the model SNOWPACK.

en: specific-surface-area density microstructure snow-stratigraphy weissfluhjoch snowmicropen

envidat

en: EnviDat: the Environmental Data Portal

en: WFJ_RHOSSA: Multi-instrument stratigraphy data for the seasonal evolution of an alpine snowpack

de:
Resource Title: README
    Size: 827 bytes
    Format: No Info
    URL: https://www.envidat.ch/dataset/eca24fe5-ed00-4ff6-9482-414ff98161d1/resource/312e0c4c-e5c6-447b-8c39-5fd9c7ba4adc/download/readme-2
    Description: Top level README file explaining the organization of the data

de:
Resource Title: wfj_rhossa_data
    Size: 427819008 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.151/2020_rhossa_paper_calonne_tc
    Description: Link to data

density

display_name: density

microstructure

display_name: microstructure

snow-stratigraphy

display_name: snow-stratigraphy

snowmicropen

display_name: snowmicropen

specific-surface-area

display_name: specific-surface-area

weissfluhjoch

display_name: weissfluhjoch


en: Meteorological data used to run SNOWPACK for 58 catchments in the Swiss Alps. The data consists of a 2 km grid of "virtual meteorological stations" for each catchment. It was used to simulate snow cover processes during rain-on-snow events, therefore meteorological data of each catchment contains at least one rain-on-snow event. Further information can be found in the attached readme.txt and in Würzer & Jonas et al. (2017), currently under review in Hydrological Processes.

en: snow-hydrology snowpack catchment-data rain-on-snow meteorological-data

envidat

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.

en: Meteorological data for investigation of rain-on-snow events in 58 catchments in Switzerland

envi

en: Environment

de:
Resource Title:
    Size: 1534677078 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.305/ros_data/ros_data.zip
    Description: The file contains all data needed to run simulations with the snow cover model SNOWPACK.

de:
Resource Title:
    Size: 768 bytes
    Format: text/plain
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.305/ros_data/readme.txt
    Description: Readme.txt

catchment-data

display_name: catchment-data

meteorological-data

display_name: meteorological-data

rain-on-snow

display_name: rain-on-snow

snow-hydrology

display_name: snow-hydrology

snowpack

display_name: snowpack


en: paleo-climate air-temperature orography precipitation last-glacial-maximum glaciers

en: CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum

de:
Resource Title: Data Access
    Size: 3848290697216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F&prefix=chelsa_trace%2F
    Description: High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm.

The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

de:
Resource Title: Technical documentation
    Size: 478853 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c88baa58-dbae-452c-8c2c-343e4c9fb885/resource/613fcb27-3649-4b5f-8880-984403cccd62/download/chelsa-trace21k_technical_documentation.pdf
    Description: Technical documentation containing file metadata and variable descriptions.

air-temperature

display_name: air-temperature

glaciers

display_name: glaciers

last-glacial-maximum

display_name: last-glacial-maximum

orography

display_name: orography

paleo-climate

display_name: paleo-climate

precipitation

display_name: precipitation


en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.pdf)
The generation of the data is described in:
Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.
Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).
We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.
This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.
Koordinate System: CH1903+ LV95 LN02

en: hazard-mapping satellite snow avalanche natural-hazard

en: SPOT6 Avalanche outlines 24 January 2018

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow


en:
**for English see below**
*******************************************************************************
-br/- -/br-
 Datenbeschrieb
-br/- -/br-
Dieser Datensatz enthält die **Umrisse der 11'120 Lawinen** die aus schwarzweiss Luftbildern, welche zwischen dem 25.2.1999 und dem 1.3.1999 aufgenommen wurden, kartiert wurden. Die Lawinenumrisse haben verschiedene Attribute welche im **beigelegten Beispielschlüssel** beschrieben sind (Beispielschluessel_1999_d.pdf).
Es gibt drei Shapefiles:
* **avalanches1999_endversion1.shp**: die kartierten Lawinen (für Attribute siehe Beispielschlüssel!)
* **area_images_1999.shp**: Fläche die durch die Luftbilder abgedeckt wurde
* **clouds_1999.shp**: grobe Umrisse der Wolken in den Bildern
 Bildverfügbarkeit:
Die entzerrten Luftbilder können von der [Swisstopo](https://s.geo.admin.ch/rpq3hufnb588) einzeln über den Downloadlink heruntergeladen werden (herzlichen Dank an Holger Heisig für die Prozessierung und ans BAFU für die Finanzierung der Prozessierung!!). Über "Erweiterte Werkzeuge"/ "Datei importieren" können die Bilder nach hereinziehen des Orthofotolinks direkt im map.geo.admin.ch angezeigt werden.
 Weiterführende Litertaur:
Details zu den Luftbildern und zur Kartierung, sowie eine kleine Analyse und Empfehlungen zur Verwendung der Daten finden sich unter
- Hafner, E., Margreth, S., and Bühler, Y.: Die grossflächigen Lawinenkartierungen 1999, 2018 und 2019: ein Überblick für die Praxis, FAN Agenda, 1/2025, 15 - 21, 2025.
- Dal, F. J., Hafner, E. D., Peters, T., Narnhofer, D., Caye Daudt, R., Heisig, H., & Bühler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1264-1271). Norwegian Geotechnical Institute.
- Hafner, E. D., Techel, F., Heisig, H., Dal, J. F., & Bühler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.
*******************************************************************************
-br/- -/br-
 Data description
-br/- -/br-
This dataset contains the **outlines of 11'120 avalanches** mapped from panchromatic aerial imagery taken between February 25, 1999 and March 1, 1999. The avalanche outlines have various attributes which are described in the **attached example key** (ExampleKey_AvalMapping_1999_e.pdf).
There are three shapefiles:
* **avalanches1999_endversion1.shp**: the mapped avalanches (for attributes see example key!)
**area_images_1999.shp**: Area covered by the aerial images
**clouds_1999.shp**: rough outlines of the clouds in the images
 Image availability:
The rectified aerial images can be downloaded individually from [Swisstopo](https://s.geo.admin.ch/bg6beetinfdc) via the download link (many thanks to Holger Heisig for processing and to BAFU for financing the processing!!). The images can be displayed directly in map.geo.admin.ch via “Advanced tools”/“Import file” after dragging in the orthophoto link.
 Further Reading:
Details on the aerial images and mapping, as well as a brief analysis and tips on using the data can be found at
- Hafner, E., Margreth, S., and Bühler, Y.: Die grossflächigen Lawinenkartierungen 1999, 2018 und 2019: ein Überblick für die Praxis, FAN Agenda, 1/2025, 15 - 21, 2025.
- Dal, F. J., Hafner, E. D., Peters, T., Narnhofer, D., Caye Daudt, R., Heisig, H., & Bühler, Y. (2024). Automated snow avalanche mapping with deep learning in aerial imagery from the extreme avalanche winter of 1999. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1264-1271). Norwegian Geotechnical Institute.
- Hafner, E. D., Techel, F., Heisig, H., Dal, J. F., & Bühler, Y. (2024). Remotely sensed avalanche activity during three extreme avalanche periods in Switzerland. In K. Gisnås, P. Gauer, H. Dahle, M. Eckerstorfer, A. Mannberg, & K. Müller (Eds.), Proceedings of the international Snow Science Workshop 2024 (pp. 1222-1229). Norwegian Geotechnical Institute.

en: avalanche-activity avalanche-mapping remote-sensing aerial-imagery avalanche

en: Avalanche outlines February and March 1999 from aerial imagery

aerial-imagery

display_name: aerial-imagery

avalanche-activity

display_name: avalanche-activity

avalanche-mapping

display_name: avalanche-mapping

remote-sensing

display_name: remote-sensing


en: This dataset contains bryophyte species count data and information about the observers bryophyte expertise for 2332 relevés conducted from 2011 to 2021 on 10-m2 plots in a long-term monitoring program in Switzerland. Plots were situated in raised bogs and fens of national importance, which were distributed across the whole country. The majority of the plots is represented by two relevés as sites are revisited every six years. **The dataset was prepared for usage in an unpublished article with the title of this dataset. Due to improvements in the analysis, results turned out to be more nuanced and it was found that the title of the data set is no longer valid.** A new dataset was created and is available here: [https://www.doi.org/10.16904/envidat.683](https://www.doi.org/10.16904/envidat.683)

en: fen observer-bias raised-bog liverworts mosses cover biodiversity-monitoring sphagnum

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: Greater observer expertise leads to higher estimates of bryophyte species richness

biodiversity-monitoring

display_name: biodiversity-monitoring

cover

display_name: cover

fen

display_name: fen

liverworts

display_name: liverworts

mosses

display_name: mosses

observer-bias

display_name: observer-bias

raised-bog

display_name: raised-bog

sphagnum

display_name: sphagnum


en:
Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland.
This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.
Paper Citation:
Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)

en: soil-ph soil-moisture soil-mapping switzerland plants ecological-maps landolt ecological-indicator-values

envidat

en: EnviDat: the Environmental Data Portal

de:
Resource Title: Description
    Size: 15032 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/81c046c3-8d1d-45bc-a833-7d8240cebd12/download/predictors_description.xlsx
    Description: Description of the predictors provided in this dataset

de:
Resource Title: Predictors
    Size: 1022643006 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/e0faab13-0d1b-492a-8539-5370d48b9e35/download/predictors.zip
    Description: Predictors generated and used in Descombes et al. (2020)

ecological-indicator-values

display_name: ecological-indicator-values

ecological-maps

display_name: ecological-maps

landolt

display_name: landolt

plants

display_name: plants

soil-mapping

display_name: soil-mapping

soil-moisture

display_name: soil-moisture

soil-ph

display_name: soil-ph

switzerland

display_name: switzerland