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

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

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

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

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

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

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

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

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

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

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

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

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

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

format: PNG

media_type: image/png

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

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

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

en:
Resource Title: Output explanation
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/c97df0fe-0691-4123-9d12-73909311f289/download/outputexplanation.xlsx
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en:
Resource Title: S4 2015
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/3e7cd0af-60cb-4026-8e8f-7c0736c45f5b/download/s4-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

dischmex

display_name: dischmex

eddy-covariance-measurements

display_name: eddy-covariance-measurements

patchy-snow-covers

display_name: patchy-snow-covers

snow-patch

display_name: snow-patch

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes


$oid: OBSOLETE

en:
Dataset of meteorological and snowpack measurements from the automatic weather station at Weissfluhjoch, Davos, Switzerland, suitable for driving snowpack models. The dataset contains standard meteorological measurements, and additionally snowpack runoff data from a snow lysimeter. Where possible, data is quality checked and missing data are replaced from backup sensors from the measurement site itself, or (in only a few cases) from the MeteoSwiss weather station at 470 m distance and 150 m above the measurement site.
Publication
Wever, N., Schmid, L., Heilig, A., Eisen, O., Fierz, C., and Lehning, M. Verification of the multi-layer SNOWPACK model with different water transport schemes. 2015. The Cryosphere. Volume 9. 2271-2293. http://dx.doi.org/10.5194/tc-9-2271-2015.

en: WFJ_MOD: Meteorological and snowpack measurements from Weissfluhjoch, Davos, Switzerland

en: longwave-radiation wind-speed snow-depth shortwave-radiation air-temperature snow-ice-temperature humidity precipitation-amount wind-direction

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: Version 2
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v2.smet
    Description: Deprecated version. Release notes:

Bug fix: in v1, incoming radiation components were taken from WFJ_Gipfel station, instead of WFJ Versuchsfeld.

en:
Resource Title: Version 3
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v3.smet
    Description: Deprecated version. Release notes:

Bug fix: in version 2, the undercatch correction was not applied correctly

Bug fix: in version 2, snow lysimeter data was missing for extended periods of time

Update: dataset extended to 2016-01-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Resource Title: SNOWPACK ini file (old syntax)
    Size: 2223 bytes
    Format: text/x-ini
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/e51b83ae-99a6-42f0-add4-8da9590c6573/download/iowfjref.ini
    Description: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en:
Resource Title: All versions
    Size: 0
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=slf/snow_and_permafrost/wfj_mod/
    Description:

en:
Resource Title: SNOWPACK sno file
    Size: 1095 bytes
    Format: .sno
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/ec0609f1-42fa-4a20-945e-6809bb15a8a0/download/wfj2.sno
    Description: This sno-file can be used to run SNOWPACK simulations with the WFJ data set, using version 3.4.0 or higher.

en:
Resource Title: Version 4
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v4.smet
    Description: Deprecated version. Release notes:

Update: dataset extended to 2016-09-02T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

en:
Resource Title: Undercatch correction
    Size: 59121 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/022a5232-e9a6-4972-a59a-f1aedc2697d3/download/undercatch.pdf
    Description: This document describes how the undercatch correction for the Weissfluhjoch measurement site was determined.

format: PDF

media_type: application/pdf

en:
Resource Title: Version 7 (current)
    Size: 35666937 bytes
    Format: application/x-smet
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/3074d1dc-6083-4025-9ac4-484cfa88658b/download/wfj_optimaldataset_v7.smet
    Description: Release notes:

Bug fix: in previous versions, snow lysimeter data from September 2010 onwards was erroneously reported for UTC+2, instead of UTC+1 (i.e., reported one hour later than should have been).

Update: dataset extended to 2017-07-11T00:30.

en:
Resource Title: Version 1
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset.smet
    Description: Deprecated version. Release notes:

First release of dataset.

en:
Resource Title: Version 6
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v6.smet
    Description: Deprecated version.

Release notes:

- Missing ISWR for 2009-09-30 and 2010-04-30 has been replaced by data from WFJ Gipfel

This dataset is the basis for the Weissfluhjoch dataset in ESM-SnowMIP (doi: http://dx.doi.org/10.16904/16).

en:
Resource Title: SNOWPACK ini file (new syntax)
    Size: 2490 bytes
    Format: text/x-ini
    URL: https://www.envidat.ch/dataset/38112bee-f865-4b29-ba19-47a99ba78833/resource/8d201858-fba9-449c-b41b-4e49624fa6cc/download/iowfjref.ini
    Description: This ini-file can be used to run SNOWPACK simulations with the WFJ data set, using the new MeteoIO Filter, Generator and Interpolation syntax.

en:
Resource Title: Version 5
    Size: 0
    Format: application/x-smet
    URL: https://os.zhdk.cloud.switch.ch/envicloud/slf/snow_and_permafrost/wfj_mod/WFJ_optimaldataset_v5.smet
    Description: Deprecated version. Release notes:

Update: using the incoming and outgoing short- and longwave radiation data from the new processing chain from 2010 onwards, filling also data gaps in pre-2010 data.

Update: dataset extended to 2016-10-04T00:30

Update: refreshing data originating from MeteoSwiss (particularly precipitation)

air-temperature

display_name: air-temperature

humidity

display_name: humidity

longwave-radiation

display_name: longwave-radiation

precipitation-amount

display_name: precipitation-amount

shortwave-radiation

display_name: shortwave-radiation

snow-depth

display_name: snow-depth

snow-ice-temperature

display_name: snow-ice-temperature

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed


en:
The data correspond to the experiments presented and discussed in a paper regarding the interaction between turbulent wind fluctuations and snow saltation mass-fluxes (Paterna, 2016). Each of the nine data files corresponds to a different experiment presented in the paper and conducted in the winter 2014/2015 in the WSL/SLF cold wind tunnel in Davos. For each file the five columns indicate the time from the beginning of the experiment, the streamwise (u’) and the vertical (w’) wind velocity fluctuations, the streamwise (qx) and the vertical (qz) snow mass-flux components. From these time-series the scales of the snow saltation and of the turbulent flow are obtained with respect to the eddy-cycles and snow saltation cycles. From spectral analysis of the time-series a decoupling of the snow saltation from the turbulence forcing reveals two regimes of interaction: a turbulence-dependent regime occurring with weak saltation, and a turbulence-independent regime with strong saltation. Further details can be found at the link below.
Publication http://onlinelibrary.wiley.com/doi/10.1002/2016GL068171/abstract

en: Wind tunnel measurement data of drifting snow and turbulent wind fluctuations

en: saltation snow-depth vertical-wind-motion snow-cover boundary-layer-winds

format: ZIP

boundary-layer-winds

display_name: boundary-layer-winds

saltation

display_name: saltation

snow-cover

display_name: snow-cover

vertical-wind-motion

display_name: vertical-wind-motion


en:
Dataset (Model input, snow distribution and validation) for the precipitation scaling paper, which should be cited along with the data set citation.
This data is useful for distributed hydrological modelling or other tasks that involve the study of snow distribution and precipitation in the high Alpine.
The format of the data is for Alpine3D (models.slf.ch) model runs but other models could be used, too.
Please cite:
_Vögeli, C., Lehning, M., Wever, N., Bavay M., 2016: Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution., Front. Earth Sci. 4: 108. doi: 10.3389/feart.2016.00108._
Dataset is provided as a single zip file.
The archive contains two directories, the valuable distributed snow depth maps for the landscape Davos and the simulation input.
The archive also contains the file: "ReadMeMetadataDataSetPrecipitationScaling" which explains the data structure.

en: Precipitation Scaling Data Set (Vögeli et al., Frontiers)

en: snow-cover snow-distribution snow snow-hydrology alpine-precipitation alpine3d-simulations alpine3d

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

alpine-precipitation

display_name: alpine-precipitation

snow

display_name: snow

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology


en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

en: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland

en: swiss-forest-lab diameter-at-breast-height drought irrigation tree crown-condition dbh tree-species scots-pine lwf forest

envi

en: Environment

en:
Resource Title: Shapefile	of measurement location
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    URL: https://map.geo.admin.ch/?topic=swisstopo&X=127951&Y=613350&zoom=11&lang=de&bgLay er=ch.swisstopo.pixelkarte-farbe&crosshair=marker
    Description:

en:
Resource Title: Swiss Forest Health Inventory
    Size: 1 bytes
    Format: text/html
    URL: https://www.wsl.ch/en/forest/forest-development-and-monitoring/sanasilva-forest-health-inventory.html
    Description:

format: HTML

media_type: text/html

en:
Resource Title: Long-term Irrigation	Experiment Pfynwald homepage
    Size: 1 bytes
    Format: text/html
    URL: https://www.wsl.ch/en/about-wsl/instrumented-field-sites-and-laboratories/experimental-sites-in-forests/pfynwald.html
    Description:

en:
Resource Title: Dataset
    Size: 1898851 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/81280262-3628-458c-8dbf-33ed80eb222a/download/envidatpfyncrowncond2016.xlsx
    Description:

format: XLS

en:
Resource Title: Site photo 1
    Size: 9330316 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/e0eed15d-de04-44f0-8601-cb531f9fa916/download/20150709pfyn117.jpg
    Description:

format: jpeg

en:
Resource Title: Site photo 3
    Size: 8186031 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/e3c46133-0b7c-4d9c-a3d0-ba0e91e663b5/download/20150709pfyn218.jpg
    Description:

en:
Resource Title: Site photo 2
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    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/fd9b4ee3-e87e-4c0b-b7a8-832fb3f019e7/download/20150709pfyn117.jpg
    Description:

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species


en:
During the last 45 years, about 100 people lost their lives in avalanches in the European Alps each year. Avalanche fatalities in settlements and on transportation corridors have considerably decreased since the 1970s. In contrast, the number of avalanche fatalities during recreational activities away from avalanche-secured terrain doubled between the 1960s and 1980s and has remained relatively stable since, despite a continuing strong increase in winter backcountry recreational activities.
Data complementing Figure 2 in:
_"Avalanche fatalities in the European Alps: long-term trends and statistics"_, by Techel, F., Jarry, F., Kronthaler, G., Mitterer, S., Nairz, P., Pavšek, M., Valt, M., and Darms, G.
Data description:
please refer to section 2 (Data and Methods) in the mentioned publication

en: Avalanche fatalities in the European Alps (1969/1970 - 2014/2015)

en: avalanche-accident-statistics avalanche-statistics avalanche-fatalities avalanche-accident long-term-trends

format: TXT

avalanche-accident

display_name: avalanche-accident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

avalanche-statistics

display_name: avalanche-statistics

long-term-trends

display_name: long-term-trends


en:
Important
This EnviDat entry is outdated. The most recent, usable version of the data can be found under the new EnviDat entry "Long-term afforestation experiment at the Alpine treeline site Stillberg, Switzerland." The entry can be found under this link -https://www.envidat.ch/dataset/afforestation-stillberg-  and with this DOI 10.16904/envidat.397.

en: Long-term treeline research dataset at Stillberg, Davos

en: long-term-experiment mountain-forest treeline afforestation stillberg

en:
Resource Title: Documentation
    Size: 57344 bytes
    Format: application/msword
    URL: https://www.envidat.ch/dataset/b72cc62e-cf31-4f4c-b89e-eba90f27ac50/resource/545c2ff6-8fdb-4ea0-85a8-49f49d877022/download/documentationstillberg1520160325.doc
    Description: This data documentation is outdated and has been replaced with an updated version (see description).

format: msword

en:
Resource Title: Dataset V1
    Size: 18459904 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b72cc62e-cf31-4f4c-b89e-eba90f27ac50/resource/f488643a-8f64-4427-8b08-a947c47a1302/download/stillberggis.zip
    Description: This dataset is outdated and has been replaced with an updated version (see description).

media_type: application/zip

en:
Resource Title: Site photo
    Size: 32941 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/b72cc62e-cf31-4f4c-b89e-eba90f27ac50/resource/ca3ffbc8-b692-4f9c-ab49-f1c09fdb4e69/download/stillpic.jpeg
    Description: This site photo is outdated and has been replaced with an updated version (see description).

afforestation

display_name: afforestation

long-term-experiment

display_name: long-term-experiment

mountain-forest

display_name: mountain-forest

stillberg

display_name: stillberg

treeline

display_name: treeline


en:
This snow depth map was generated 14 January 2015, close to peak of winter accumulation, applying Unmanned Aerial System digital surface models with a spatial resolution of 10 cm. The covered area is 285'000 m2 at the top of Brämabüel, 2490 m a.s.l. covering all expositions. Coordinate system: CH1903LV03.
A detailed description is given here:
Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, 2016.
Abstract:
Detailed information on the spatial and temporal distribution, and variability of snow depth (HS) is a crucial input for numerous applications in hydrology, climatology, ecology and avalanche research. Nowadays, snow depth distribution is usually estimated by combining point measurements from weather stations or observers in the field with spatial interpolation algorithms. However, even a dense measurement network is not able to capture the large spatial variability of snow depth in alpine terrain.
Remote sensing methods, such as laser scanning or digital photogrammetry, have recently been successfully applied to map snow depth variability at local and regional scales. However, such data acquisition is costly, if manned airplanes are involved. The effectiveness of ground-based measurements on the other hand, is often hindered by occlusions, due to the complex terrain or acute viewing angles. In this paper, we investigate the application of unmanned aerial systems (UAS), in combination with structure-from-motion photogrammetry, to map snow depth distribution. Such systems have the advantage that they are comparatively cost-effective and can be applied very flexibly to cover also otherwise inaccessible terrain. In this study we map snow depth at two different locations: a) a sheltered location at the bottom of the Flüela valley (1900 m a.s.l.) and b) an exposed location (2500 m a.s.l.) on a peak in the ski resort Jakobshorn, both in the vicinity of Davos, Switzerland. At the first test site, we monitor the ablation on three different dates. We validate the photogrammetric snow depth maps using simultaneously acquired manual snow depth measurements. The resulting snow depth values have a root mean square error (RMSE) better than 0.07 to 0.15 m on meadows and rocks and a RMSE better than 0.30 m on sections covered by bushes or tall grass. This new measurement technology opens the door for efficient, flexible, repeatable and cost effective snow depth monitoring for various applications, investigating the worlds cryosphere.

en: UAS based snow depth maps Brämabüel, Davos, CH

en: snow swe uas remote-sensing snow-depth

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: .tfw file
    Size: 89 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/84db9938-9af5-4ae1-8e30-cb45c61fc274/resource/95509c9f-8a0a-4f7f-a46e-9db9a9c795fa/download/snowdepth_20150414_10cm_reffromsummer_setnull_final.tfw
    Description: coordinates for the .tif raster

media_type: text/plain

en:
Resource Title: HS map Brämabül, 14. April 2015
    Size: 163529181 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/84db9938-9af5-4ae1-8e30-cb45c61fc274/resource/22d008e7-8312-4676-8792-81ed927e4951/download/snowdepth_20150414_10cm_reffromsummer_setnull_final.tif
    Description: 10 cm resolution
15 cm accuracy

format: TIFF

media_type: image/tiff

remote-sensing

display_name: remote-sensing

snow

display_name: snow

snow-depth

display_name: snow-depth

swe

display_name: swe

uas

display_name: uas


en:
A landslide testsite dataset related to pore water pressure perturbations on the stability of unsaturated silty sand slopes leading to the initiation and propagation of the shear deformations and eventual rapid mass movements. This project was initiated and led by the Institute of Geotechnical Engineering (IGT) of the Swiss Federal Institute of Technology (ETH Zurich) and was incorporated in a Swiss national (TRAMM) and a European Union (SafeLand) multidisciplinary research project. Field site: The experimental slope is 7.5 m wide by 35 m long, located in the Swiss lowlands on an east facing slope over-looking the river Rhine, at an altitude of ~ 350 masl. Originally there were forestry covertures of circa 80%, heights of 5-20 m. Shrubs up to 1-5 m high and a free herb layer covered ~ 50% of the surface. The average gradient was determined to be from 38° to 43° with a slightly concave surface. The underlying rock consists mainly of Molasse, which is formed by alternate layers of sea deposits under the Tethys Sea (Seawater Molasse) and land deposits (Freshwater Molasse). Several augured samples, as well as an outcrop of the bedrock about 20 m above the selected field, revealed horizontal layering of fine grained sand- and marlstone at the test site. The sandstone was later proven to be highly permeable and fissured. Grain-size distributions were determined and the soil was classified as medium-low plasticity silty sand. Site instrumentation:Measurements of soil suction, groundwater level, soil volumetric water content, rain intensity and soil temperature were taken and combined with geophysical monitoring using Electrical Resistance Tomography (ERT) and investigations into subsurface flow by means of tracer experiments. Deformations were monitored during the experiment, both on the surface via photogrammetrical methods and within the soil mass, using a flexible probe equipped with strain gauges at different points and two axis inclinometers on the top and acoustic sensors. Instruments were installed mainly in three clusters at depths of 15, 30, 60, 90, 120, and 150 cm below the ground surface over the slope, including jet-fill tensiometers, TDRs, Decagon TDRs, piezometers, soil temperature sensors, deformation probes, earth pressure cells, acoustic sensors and rain gauges. A ring-net barrier (provided by Geobrugg AG) was set up at the foot of the slope to protect the road. Experiments: A sprinkling experiment was carried out in September 2008 to investigate the hydrological and mechanical response of the slope (Experiment 1), followed by a second one to trigger a landslide in March 2009 (Experiment 2).
Publications
1. Lehmann, P., F. Gambazzi, B. Suski, L. Baron, A. Askarinejad, S. M. Springman, K. Holliger, and D. Or (2013), Evolution of soil wetting patterns preceding a hydrologically induced landslide inferred from electrical resistivity survey and point measurements of volumetric water content and pore water pressure, Water Resour. Res., 49, 7992–8004, doi:[10.1002/2013WR014560](http://dx.doi.org/10.1002/2013WR014560).
2. Springman, S. M., Kienzler, P., Casini, F., & Askarinejad, A. (2009). Landslide triggering experiment in a steep forested slope in Switzerland. In 17th International Conference of Soil Mechanics and Geotechnical Engineering, Alexandria, Egypt (pp. 1698-1701). doi: [10.3233/978-1-60750-031-5-1698](http://dx.doi.org/10.3233/978-1-60750-031-5-1698)

en: TRAMM project Ruedlingen experimental landslide dataset, Switzerland

en: landslides pressure-perturbations pore-water landslide-testsite tramm cces

cces

display_name: cces

landslide-testsite

display_name: landslide-testsite

landslides

display_name: landslides

pore-water

display_name: pore-water

pressure-perturbations

display_name: pressure-perturbations

tramm

display_name: tramm


en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland

en: weisfluhjoch snow-density snow-water-equivalent snow-stratigraphy snow-ice-temperature

en:
Resource Title: README
    Size: 5514 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0b294122-015c-46bf-b5c5-cc6d0a6f67c1/resource/8b7b0710-a781-41c4-9345-b31a5e93982b/download/readme.txt
    Description: README file giving use metadata.

en:
Resource Title: WFJ Snow Profiles 1999-2014
    Size: 237845 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0b294122-015c-46bf-b5c5-cc6d0a6f67c1/resource/f64d8a9f-36ea-40f6-9874-bc9071050d0a/download/wfjsnowprofiles19992014.zip
    Description: Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch


en:
Rufiberg is a pre-alpine meadow site in Switzerland where shallow landslides have been observed after past intense rain storms. In order to assess the triggering mechanisms of these landslides, a comprehensive investigation was conducted within the project TRAMM from Nov 2009 to Oct 2012. It included meteorological observations, soil moisture measurements, bedrock groundwater measurements. The Rufiberg is located at the NW side of the Gnipen to the north of the village Arth-Goldau in the Canton of Schwyz. In the summer months, the site is used for pasturing. Usually, from December to March a snow cover is present at the Rufiberg. The site is at an altitude between 1080 – 1180 m asl, is ENE oriented, and has an average slope of 30 -35°. The Subalpine Molasse in the region is inclined with 30 - 35° to SE. In the area of the field site, beds of conglomerate with several m of thickness alter with beds of sandstone and marlstone. A ca. 2 – 5 m thick eluvium/colluvium layer composed of silty and sandy clay covers the bedrock. This site has been chosen because on one hand, during heavy rainfall events, e.g. autumn 2005, numerous landslides occur in the region of the Gnipen and the Rufiberg. On the other hand, the Rufiberg is very appropriate for experiments due its location away from infrastructures and due to its accessibility. The goal of the investigation was to understand the hydrology and hydrogeology of the slope with regard to shallow landslides.
More information: Brönnimann, C., Stähli, M., Schneider, P., Seward, L. and Springman, S.M. 2013. Bedrock exfiltration as a triggering mechanism for shallow landslides. Water Resources Research, 49 (9): 5155–5167. DOI: 10.1002/wrcr.20386.

en: TRAMM project - experimental hydrological and hydrogeological dataset of a landslide prone hillslope. Rufiberg, Switzerland

en: landslides meadow soil-moisture-water-content hydrology water-table

en:
Resource Title: Data Soil water content TDR.xlsm
    Size: 7866407 bytes
    Format: application/vnd.ms-excel.sheet.macroEnabled.12
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/fd31a45e-e5d0-476e-9a45-611f4d572d93/download/data-soil-water-content-tdr.xlsm
    Description: Four test pits were excavated in summer 2010 along the slope to install vertical profiles of Time Domain Reflectometry sensors [Topp et al., 1980] to measure soil water content at depths of 0.25 m, 0.7 m, 1.1 m and 1.5 m. The 15 cm long TDR rods were inserted horizontally into the vertical walls of the pits, and the four pits were carefully refilled with the excavated soil. The water content was recorded from summer 2010 to fall 2011 at 10-minute time intervals using a Campbell TDR 100 system.

en:
Resource Title: Data Groundwater level in Bedrock.xlsx
    Size: 939397 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/0e09242b-0222-4b90-b247-4fa2c34bb8ca/download/data-groundwater-level-in-bedrock.xlsx
    Description: We drilled six boreholes in two clusters. The boreholes reached a depth between 2 and 9 m below the ground surface. The lower half of boreholes BH1 and BH6 were cored with a 9 cm-diameter rotational diamond drilling head. The other boreholes were drilled destructively with an 11 cm-diameter Mitsubishi hammer system. Boreholes BH1, BH2 and BH5 were equipped with open standpipe piezometers, whereas BH3, BH4 and BH6 were equipped with a special piezometer system composed of an enclosed measuring cell at the bottom of a 1 inch-PVC tube. The free groundwater level in the PVC tube is measured in the standpipe piezometer, but it doesn’t necessarily represent the water table in the soil layer because the pressure sensor is located in the sealed lower part of the piezometer in the enclosed measuring cell and thus is not in contact with the air. This system allows the hydraulic pressure of lithologies with low permeability to be measured directly. Two piezometers were installed in BH6 at different depths. The PVC tubes were slotted at the bottom for 0.5, 1 or 2 meters and the boreholes were sealed carefully with clay pellets above this filter section to avoid by-pass and infiltration from the surface. DCX-22 pressure sensors from Keller AG Winterthur, with integrated data loggers, were installed in each piezometer to measure the relative hydraulic pressure at a 30 minute-intervals from November 2010 to November 2011. The data were corrected for in-situ air-pressure fluctuations.

en:
Resource Title: Data Groundwater level in Soil.xlsx
    Size: 5593516 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/720b044d-3ee5-4104-ba45-4b5b8ee7bf3e/download/data-groundwater-level-in-soil.xlsx
    Description:

en:
Resource Title: Data Lateral subsurface water flow.xlsm
    Size: 2033894 bytes
    Format: application/vnd.ms-excel.sheet.macroEnabled.12
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/251578d0-3df2-44ed-9090-613a678bdbf8/download/data-lateral-subsurface-water-flow.xlsm
    Description:

hydrology

display_name: hydrology

meadow

display_name: meadow

soil-moisture-water-content

display_name: soil-moisture-water-content

water-table

display_name: water-table


envidat-supports-open-science

en:
The article "EnviDat Supports Open Science" originally appeared in WSLintern No. 3 (2020), page 14-15 and it is republished here with permission from the WSLintern editorial team. It contains guidelines for WSL scientists about the main issues behind Open Science and how to pragmatically approach the complexities of doing Open Science with EnviDat’s support.
License: This article is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

en: EnviDat Supports Open Science

en: research-data-management juypter-notebooks wsl open-science envidat

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

title_for_slug: envidat-supports-open-science

envi

en: Environment

envidat

display_name: envidat

juypter-notebooks

display_name: juypter-notebooks

open-science

display_name: open-science

research-data-management

display_name: research-data-management

wsl

display_name: wsl


en:
Swiss National Forest Inventory. Results of the fourth survey 2009–2017.
The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017, on average eight years after the third survey. The findings about state and development of Swiss forests are described and explained in detail. The report is structured according to the European criteria and indicators for sustainable forest management, namely: forest resources, health and vitality, wood production, biological diversity, protection forest and social economy. Finally, conclusions about sustainability are drawn based on the NFI findings.
Keywords: forest area, growing stock, increment, yield, forest structure, forest condition, timber production, biodiversity, protection forest, recreation, sustainability, results National Forest Inventory, Switzerland
Schweizerisches Landesforstinventar. Ergebnisse der vierten Erhebung 2009–2017.
In den Jahren 2009 bis 2017 fanden die Erhebungen zum vierten Schweizerischen Landesforstinventar (LFI) statt,
im Durchschnitt acht Jahre nach der dritten Erhebung. Die Resultate über den Zustand und die Entwicklung des Schweizer Waldes werden umfassend dargestellt und erläutert. Der Bericht ist thematisch strukturiert nach den europäischen Kriterien und Indikatoren zur nachhaltigen Bewirtschaftung des Waldes: Waldressourcen, Gesundheit und Vitalität, Holzproduktion, biologische Vielfalt, Schutzwald und Sozioökonomie. Eine Bilanz zur Nachhaltigkeit, basierend auf LFI-Ergebnissen, schliesst die Publikation ab.
Keywords: Waldfläche, Holzvorrat, Zuwachs, Nutzung, Waldaufbau, Waldzustand, Holzproduktion, Biodiversität, Schutzwald, Erholung, Nachhaltigkeit, Ergebnisse Landesforstinventar, Schweiz
Content license: All rights reserved. Copyright © 2020 by WSL, Birmensdorf.

en: forest nfi 2009-2017 national-forest-inventory lfi

en:
Resource Title: Corrigendum / Korrigendum
    Size: 519543 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/18f5aeda-93f3-422d-9aa3-41724378bbd2/resource/18f37116-75eb-4bad-b6b7-d85bae72e1e0/download/korrigendum_lfi4_de_tab_155.pdf
    Description:

en:
Resource Title: Registration in DORA
    Size: 1 bytes
    Format: No Info
    URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:23454
    Description:

en:
Resource Title: ISBN: 978-3-905621-60-0
    Size: 65939779 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/18f5aeda-93f3-422d-9aa3-41724378bbd2/resource/a0ee1a9b-c2e1-4732-8a5d-487ae75611b4/download/lfi4_de_web_200603.pdf
    Description:

forest

display_name: forest

lfi

display_name: lfi

national-forest-inventory

display_name: national-forest-inventory

nfi

display_name: nfi


data-konzeptionelles-systemmodell

en:
This folder contains documents relevant to the project step Konzeptionelles Systemmodell. It specifically contains the following documents:
1. 0201_Konzeptionelles Systemmodell_20221027: This document is the final version of the Konzeptionelles Systemmodell. The underlying structure of the Konzeptionelles Systemmodell is explained in chapter 4.4 of the document 0202_Masterarbeit Elena Siegrist_UniBern_Herbstsemester 2022 also deposited in this folder. The document contains 3 sheets. The sheet "Bausteine" shows the different possible options for table columns of the type Bausteine (see chapter 4.4 of Masterarbeit), the sheet "Direkte Effekte" contains identified direct impact pathways and the sheet "Indirekte Effekte" contains identified indirect impact pathways.
2. 0202_Masterarbeit Elena Siegrist_UniBern_Herbstsemester 2022: This document is the Master Thesis of Elena Grace Siegrist submitted to and accepted by the University of Bern in the Autumn Semester 2022. Chapter 4.4 of the document explains the underlying structure of the Konzeptionelles Systemmodell.
3. 0203_Literaturverzeichnis_konzeptionelles Systemmodell_20221026: This document lists all literature and documents cited in the Konzeptionelle Systemmodell.

en: Data Konzeptionelles Systemmodell

en: landscape-change policy-action climate-change qualitative-research scenarios

title_for_slug: data-konzeptionelles-systemmodell

en:
Resource Title: 0202_Masterarbeit Elena Siegrist_UniBern_Herbstsemester 2022
    Size: 20498856 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/63cdd109-d84d-4664-b9c8-cabff7206265/resource/59a6d667-fa1c-48c9-b219-56e6b60c0e6a/download/0202_masterarbeit-elena-siegrist_unibern_herbstsemester-2022.pdf
    Description:

en:
Resource Title: 0201_Konzeptionelles Systemmodell_20221027
    Size: 51597723 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/63cdd109-d84d-4664-b9c8-cabff7206265/resource/6943041d-18c9-4ef4-b114-1269f9d78811/download/0201_konzeptionelles-systemmodell_20221027.xlsx
    Description:

en:
Resource Title: 0203_Literaturverzeichnis_konzeptionelles Systemmodell_20221026
    Size: 135744 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/63cdd109-d84d-4664-b9c8-cabff7206265/resource/a0b05adc-77b0-4c7e-bf7b-d073974e2cd8/download/0203_literaturverzeichnis_konzeptionelles-systemmodell_20221026.pdf
    Description:

climate-change

display_name: climate-change

landscape-change

display_name: landscape-change

policy-action

display_name: policy-action

qualitative-research

display_name: qualitative-research

scenarios

display_name: scenarios


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

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

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

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

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

agriculture

display_name: agriculture

land-change

display_name: land-change

land-use-modelling

display_name: land-use-modelling

pathways

display_name: pathways


invasive-neophytes-along-national-roads

en:
Streets and Highways are important corridors for the spread of invasive plant species. On behalf of the **Federal Roads Office, FEDRO**, WSL surveyed the national road network in 2021 and recorded the distribution of three invasive neophytes using **AI-based species recognition** in a total of **3.8 million georeferenced images**. The mapped species are the **tree of heaven *(Ailanthus altissima)***, **common ragweed *(Ambrosia artemisiifolia)*** and **narrow-leaved ragweed *(Senecio inaequidens)***.
The data here is part of the **FEDRO documentation** and shows the mapping results as images and interactive maps. The interactive maps are - technically speaking - **self-contained HTML files** that can be displayed with standard web browsers. To reduce the file size, the downloads are provided in zip format.
**License**: This is not an independent data publication by WSL. The data was published together with the written document Trocmé et al. 2023, **© FEDRO 2023** (see related publication: © ASTRA 2023, Abdruck - ausser für kommerzielle Nutzung - unter Angabe der Quelle gestattet).

en: Invasive neophytes along national roads

en: automatic-detection invasive-species artificial-intelligence computer-vision biological-invasions plants

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

title_for_slug: invasive-neophytes-along-national-roads

envi

en: Environment

en:
Resource Title: Senecio_NS2021_kmeans4.png
    Size: 1517263 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/47ab7392-e462-47cb-a5b1-dca1e2b1bff3/download/senecio_ns2021_kmeans4.png
    Description: Generalized map of detected Senecio inaequidens occurrences along Swiss national roads.

en:
Resource Title: Ambrosia_NS2021_kmeans4.png
    Size: 1521894 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/c650fa91-2152-4e14-9fa2-06be231faad4/download/ambrosia_ns2021_kmeans4.png
    Description: Generalized map of detected Ambrosia artemisiifolia occurrences along Swiss national roads.

en:
Resource Title: Ambrosia_NS2021.html.zip
    Size: 33508731 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/d363c4f7-7b3d-4a57-b562-1c5559bd41ff/download/ambrosia_ns2021.html.zip
    Description: Detected occurrences of Ambrosia artemisiifolia along Swiss national roads. Self-contained HTML file with an interactive map that can be displayed with standard web browsers. Species occurrences of the middle and side strips can be displayed separately.

en:
Resource Title: Ailanthus_ns2021_kmeans4.png
    Size: 1514672 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/c38d612c-7ea1-4b01-81c3-08169e101238/download/ailanthus_ns2021_kmeans4.png
    Description: Generalized map of detected Ailanthus altissima occurrences along Swiss national roads.

en:
Resource Title: Ailanthus_ns2021.html.zip
    Size: 48932476 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/d3774833-80dd-454c-8e90-12662f908d2a/download/ailanthus_ns2021.html.zip
    Description: Detected occurrences of Ailanthus altissima along Swiss national roads. Self-contained HTML file with an interactive map that can be displayed with standard web browsers. Species occurrences of the middle and side strips can be displayed separately.

en:
Resource Title: Senecio_NS2021.html.zip
    Size: 51366008 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/10898fd0-af14-464c-8b27-aeb2806bc6f9/resource/9160b659-6414-48a1-ac72-875c7ff1cb8e/download/senecio_ns2021.html.zip
    Description: Detected occurrences of Senecio inaequidens along Swiss national roads. Self-contained HTML file with an interactive map that can be displayed with standard web browsers. Species occurrences of the middle and side strips can be displayed separately.

artificial-intelligence

display_name: artificial-intelligence

automatic-detection

display_name: automatic-detection

biological-invasions

display_name: biological-invasions

computer-vision

display_name: computer-vision

invasive-species

display_name: invasive-species

plants

display_name: plants


en:
The global biodiversity crisis driven by anthropogenic pressures significantly threatens marine ecosystems functioning. The rate of climate change and the impacts of anthropogenic pressures outpacing the capabilities of our observation tools, stresses the need to develop new methods to assess these rapid modifications. Environmental DNA (eDNA; DNA traces released by organisms) metabarcoding has emerged as a non-invasive method that has been widely developed over the last decade.  Thanks to a large spatio-temporal coverage,  high detection of rare species and its time and cost effectiveness, eDNA metabarcoding represents a promising biomonitoring tool. However, capturing fish diversity using eDNA requires a high-quality genetic reference database, which we are currently still lacking. For the South European Atlantic shelf area, we estimated that only 41% of the fish species present were recorded in the available eDNA reference databases. Improving reference databases can notably rely on opportunistic sampling enabling the reporting of sequences for new species. Therefore, the data provided here consists of barcoding 95 species of ray-finned and cartilaginous fishes over the 12S mitochondrial DNA gene. We generated 168 12S barcodes from fishes that were sampled in the Bay of Biscay (Northeast Atlantic, France) between 2017 and 2019. We also provided the “Teleo” barcode associated with a specific 12S region for each individual. In addition to the sequences, we provided for each individual the taxonomy, the details associated with the barcode (Genbank accession number, chromatograms), a photograph, as well as 5 ecomorphological measures and 11 life-history traits. These traits document several functions such as dispersion, diet, habitat use, and position in the food web. Furthermore, we provided the metadata of each sampling site (date, station, sampling hour, gear, latitude, longitude, depth) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature).
This data set is highly valuable to improve the Northeast Atlantic eDNA genetic database, thus helping to better understand the effects of environmental forcing in the Bay of Biscay, a transition zone housing mixed assemblages of boreal, temperate and subtropical fish species susceptible to display variability in functional traits to adapt to changing conditions.

en: ATLFISHREF A 12S mitochondrial reference dataset for metabarcoding Atlantic Fishes frequently caught during scientific surveys in the Bay of Biscay

en: barcoding environmental-dna mitochondrial-dna atlantic-ocean teleo-primers actinopterygii 12s

en:
Resource Title: ATL_FISHREF_Teleo_barcode.fasta
    Size: 17598 bytes
    Format: text/x-fasta
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/d61fa932-931b-43cb-8bc4-62ee54d54874/download/atl_fishref_teleo_barcode.fasta
    Description: This file contains the Teleo Barcode for the Atlantic fishes collected during a French scientific survey (Evhoe) for stock assessment.

en:
Resource Title: ATL_FISHREF_chromatograms_&_pictures.zip
    Size: 1481604020 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/06c3ab11-43b8-4983-943d-e851cfd275bc/download/atl_fishref_chromatograms__pictures_updated_29-08-24-1.zip
    Description:

en:
Resource Title: ATL_FISHREF_12S_mitochondrial_tree_156sequences.pdf
    Size: 983790 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/1833a744-7ab8-4a2b-ba58-eabbc7dc671f/download/atl_fishref_12s_mitochondrial_tree_156.pdf
    Description: Mitochondrial tree based on the 12s sequences obtained for altantic fish.
This data represent the maximum likelihood phylogenetic tree allowing to assess 1) the clustering of the different sequences generated in
this study and their closest sequences recovered through a MegaBLAST on GenBank, 2) the robustness of the clades and 3) the
phylogenetic dissimilarities through the branch length of the tree among the different sequences. This tree was built with IQtree2
using the best substitution model found by modelFinder. The robustness of the node was evaluated using 1000 ultra-fast bootstrap
(node information indicated on the right of the /) and SH-aLRT procedures (node information indicated on the left of the /), using a hillclimbing nearest neighbor interchange (NNI) search to reduce the risk of overestimating branch supports with ultra-fast Bootstrap
caused by too severe model violations.

en:
Resource Title: ATL_FISHREF_12S_mitochondrial_sequences.fasta
    Size: 119690 bytes
    Format: text/x-fasta
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/240862cf-df17-4390-9a12-64ed43b8a0bc/download/atl_fishref_12s_mitochondrial_sequences.fasta
    Description: This file contains the 12s mitochondrial sequences for the Atlantic fishes collected on a French scientific survey (Evhoe) for stock assessment.

en:
Resource Title: Metadata_EVHOE_2017_2018_2019.csv
    Size: 25259 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/ec48f037-0cc7-444e-a73a-15383a2e6d0b/download/metadata_evhoe_2017_2018_2019.csv
    Description: This file contains the metadata associated with each scientific survey

format: CSV

media_type: text/csv

en:
Resource Title: Sequences_Info_&_Functional_Traits_Fish_BoB.csv
    Size: 36388 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/99fe96a8-79b9-4645-9fc1-0582de470b42/download/sequences_info__functional_traits_fish_bob.csv
    Description: This file contains the metadata associated with each 12 s mitochondrial sequence.

actinopterygii

display_name: actinopterygii

atlantic-ocean

display_name: atlantic-ocean

barcoding

display_name: barcoding

environmental-dna

display_name: environmental-dna

mitochondrial-dna

display_name: mitochondrial-dna

teleo-primers

display_name: teleo-primers


en: The dataset contains time series of water levels, precipitation measured in the two sub-catchments of the Erlenbach catchment and its vicinity during summer and autumn 2021, as well as flowing drainage network lengths calculated for these areas using the CEASE method developed by the authors. Detailed description of the dataset is provided in the documentation.

en: Short-term Drainage Density Dynamics Dataset for the Erlenbach Catchment

en: erlenbach drainage dynamics water-level precipitation catchment drainage-network data dataset catchment-data channel

envidat

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

en: EnviDat: the Environmental Data Portal

en:
Resource Title: short-term_drainage_density_dynamics_dataset_documentation.docx
    Size: 1135026 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/a90d31fa-4d8e-4bf1-a650-3c0f8ce12ae4/download/short-term_drainage_density_dynamics_dataset_documentation.docx
    Description:

en:
Resource Title: short-term_drainage_density_dynamics_dataset.csv
    Size: 22884800 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/b0b19958-af5e-49bf-8ab1-b10191d7d950/download/short-term_drainage_density_dynamics_dataset.csv
    Description:

en:
Resource Title:  short-term_drainage_density_dynamics_dataset_documentation.pdf
    Size: 3718100 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/37aaedcc-8217-4229-9bf3-49fe7e06d925/download/short-term_drainage_density_dynamics_dataset_documentation.pdf
    Description:

catchment

display_name: catchment

catchment-data

display_name: catchment-data

channel

display_name: channel

data

display_name: data

dataset

display_name: dataset

drainage

display_name: drainage

drainage-network

display_name: drainage-network

dynamics

display_name: dynamics

erlenbach

display_name: erlenbach

precipitation

display_name: precipitation

water-level

display_name: water-level


en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, as well as structural and potential population connectivity, quantified by three different metrics each.
The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.
The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

en: Amphibian observation and pond data (Aargau, Switzerland)

en: conservation wetlands amphibians occupancy-models landscape connectivity

envi

en: Environment

en:
Resource Title: Model code 2
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    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/27deb8d2-b414-4331-92f0-f988f1979516/download/runmodels2.rmd
    Description: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the second associated publication, including JAGS code for the fitted models.

format: OCTET

en:
Resource Title: Potential population connectivity data
    Size: 28849564 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/6b907363-02d8-4cfa-8b0f-36ab945866f8/download/covdata_popconn.csv
    Description: This file contains potential population connectivity data (three different metrics), calculated based on all existing and occupied ponds in each year, for each species, in long format. See Readme v2.0 for details. Required to run Model code 2.

en:
Resource Title: Readme, v 2.0
    Size: 312052 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/c31abb8b-f5ab-492c-b0fa-2e8c85afe5f6/download/datadescriptionenvidat2.pdf
    Description: Description of methods and datasets. Version 2.0, including new datasets fro structural and potential population connectivity.

en:
Resource Title: Readme
    Size: 277486 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/2108eb1a-f11f-4c9f-85f1-a21cdae52185/download/datadescriptionenvidat.pdf
    Description: Description of methods and datasets. Version 1.

en:
Resource Title: Covariate data 1
    Size: 57933 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/3c9f85f8-6c9b-4532-9038-b027927b1aac/download/covdata1.csv
    Description: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

en:
Resource Title: Original raw data
    Size: 9960328 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/c233605d-0a83-437f-9704-31c126a1c318/download/a_auszug-karch-einzelbeob_oz_4-v4-ab99.xlsx
    Description: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

en:
Resource Title: Model code 2, description
    Size: 674645 bytes
    Format: text/html
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/57fded43-4f8c-426b-bac1-11ccca42146f/download/runmodels2.html
    Description: This is the output of the R markdown file Model code 2 that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the second associated publication, for a quick overview.

en:
Resource Title: Covariate data 2
    Size: 486115 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/e16a1c32-0953-44d3-bcf4-835b6ac9b0ac/download/covdata2.csv
    Description: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

en:
Resource Title: Observation data
    Size: 2742709 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/2bfcece3-c25b-4dd9-a059-1b60f8d1c738/download/obsdata.csv
    Description: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

en:
Resource Title: Model code, description
    Size: 672546 bytes
    Format: text/html
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/b2249e83-4901-4c47-b5b2-736cebf97147/download/runmodels1.html
    Description: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

en:
Resource Title: Model code
    Size: 37899 bytes
    Format: text/x-rmarkdown
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/d80d4a9f-40a0-473a-bd90-1ecb1a4a0c84/download/runmodels1.rmd
    Description: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

en:
Resource Title: Structural connectivity data
    Size: 2351634 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/643685b3-940c-44ff-a703-dfd01f6496da/download/covdata_structconn.csv
    Description: This file contains structural connectivity data (three different metrics), calculated based on all existing ponds in each year, in long format. See Readme v2.0 for details. Required to run Model code 2.

amphibians

display_name: amphibians

connectivity

display_name: connectivity

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands


en: A multitude of physical and biological processes on which ecosystems and human societies depend are governed by climatic conditions. Understanding how these processes are altered by climate change is central to mitigation efforts. Based on mechanistically downscaled climate data, we developed a set of climate-related variables at yet unprecedented spatiotemporal detail as a basis for environmental and ecological analyses. We created gridded data for near-surface relative humidity (hurs), cloud area fraction (clt), near-surface wind speed (sfcWind), vapour pressure deficit (vpd), surface downwelling shortwave radiation (rsds), potential evapotranspiration (pet), climate moisture index (cmi), and site water balance (swb), at a monthly temporal and 30 arcsec spatial resolution globally starting 1980 until 2018. At the same spatial resolution, we further estimated climatological normals of frost change frequency (fcf), snow cover days (scd), potential net primary productivity (npp), growing degree days (gdd), and growing season characteristics for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, considering three shared socioeconomic pathways (SSP126, SSP370, SSP585) and five Earth system models. Time-series variables showed high accuracy when validated against observations from meteorological stations. Climatological normals were also highly correlated to observations although some variables showed notable biases, e.g., snow cover days (scd). Together, the data sets presented here allow improving our understanding of patterns and processes that are governed by climate, including the impact of recent and future climate changes on the world’s ecosystems and associated services to societies.

en: CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution

en: precipitation relative-humidity soil-water-balance growing-degree-days growing-season-length temperature solar-radiation

envidat

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

en: EnviDat: the Environmental Data Portal

en:
Resource Title: CHELSA-BIOCLIM+
    Size: 13194139533312 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav2%2F&prefix=%2F
    Description: Global extented set of bioclimatic variables at different temporal (e.g. monthly, annual, long term normals) resolution in Geotiff format.

en:
Resource Title: CHELSA-BIOCLIM+ Technical Documentation
    Size: 423097 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/21d662b7-9c59-41da-aa82-7d8a879b8db7/resource/aa676d1f-5f7f-479b-af20-26066b0537d1/download/chelsa_file_specification_bioclim_plus.pdf
    Description: Technical documentation document including the variable names, units, scaling, offset, and background.

growing-degree-days

display_name: growing-degree-days

growing-season-length

display_name: growing-season-length

relative-humidity

display_name: relative-humidity

soil-water-balance

display_name: soil-water-balance

solar-radiation

display_name: solar-radiation

temperature

display_name: temperature


en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.
CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

en: High resolution monthly precipitation and temperature timeseries for the period 2006-2100

en: precipitation-amount air-temperature orographic-precipitation climate-change cmip5

envi

en: Environment

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount


en:
Resources associated with the manuscript *A case study on the application of spore sampling for the monitoring of macrofungi* ([Schlegel et al. 2024](https://doi.org/10.1111/1755-0998.13941)).
Airborne environmental DNA (eDNA) monitoring of fungi was evaluated on a species-rich grassland site. Extensive fruiting body surveys yielded 29 waxcap and clavarioid species, 19 of which were also detectable in air eDNA. The analysis indicates that spores of locally occurring fruiting bodies were detected, in addition to a large diversity of common fungal species, while rare and threatened species were under-represented in the air.
*Version 1* of the dataset was submitted during the review phase. *Version 2* contains minor changes and clarifications, and is up to date with the [published supplement](https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1755-0998.13941&file=men13941-sup-0001-AppendixS1.pdf) of the study.
The contents of the ZIP archive:
* analysis scripts in [R-Markdown](https://rmarkdown.rstudio.com) format, including the rendered PDF output with figures and tables (*analysis* directory)
* eDNA sample metadata (*amplicon_meta*) and results of the amplicon clustering (*amplicon_data*) and the source code of the pipeline (*amplicon_pipeline*)
* positions of all fruiting body groups found in the surveys (3838 GPS points) (*surveys*)
* positions of the spore traps, taxonomy of studied grassland fungi and red-list species, and many more resources
Please refer to `README.pdf` inside the archive for a complete description of the file structure and information on how to reproduce the analyses.

en: Supporting information for case study on the application of spore sampling for the monitoring of macrofungi

en: air-sampling spore-dispersal monitoring environmental-dna metabarcoding

en:
Resource Title: Data files and analysis scripts (Version 1)
    Size: 29336906 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5ecb89e0-7abf-42ce-b210-24dcdee781d9/resource/9ac066a9-e65a-4bf9-937e-a43f6aae41e3/download/suppinfo.zip
    Description: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of fungi". Please refer to README.pdf inside the archive for more information.

en:
Resource Title:  Data files and analysis scripts (Version 2)
    Size: 32072370 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5ecb89e0-7abf-42ce-b210-24dcdee781d9/resource/d056b217-18c0-4733-b204-602289cf7eee/download/supplementary_data.zip
    Description: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of macrofungi". Please refer to README.pdf inside the archive for more information.

air-sampling

display_name: air-sampling

environmental-dna

display_name: environmental-dna

metabarcoding

display_name: metabarcoding

monitoring

display_name: monitoring

spore-dispersal

display_name: spore-dispersal


en: This repository contains the datasets that were used for used for the paper:: Drivers of Droplet Formation in East Mediterranean Orographic Clouds, EGUsphere, https://doi.org/10.5194/egusphere-2024-490, 2024.

en: Dataset for the publication Drivers of Droplet Formation in East Mediterranean Orographic Clouds

en: aerosol ccn cloud-droplets hygroscopicity hac2

en:
Resource Title: Figure_S3.xlsx
    Size: 86147 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/f6710288-d4be-45d9-b824-00d8c0b67916/download/figure_s3.xlsx
    Description:

en:
Resource Title: Data_Description.docx
    Size: 14631 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/c03ec764-1151-4c0d-a300-332b40719ec2/download/data_description.docx
    Description:

en:
Resource Title: Figure_3a.xlsx
    Size: 26099 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/d3c8d93c-f7ea-4b0e-9ac8-f2af44e32cdc/download/figure_3a.xlsx
    Description:

en:
Resource Title: Figure_S5.xlsx
    Size: 10920 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/772ac628-c445-49b4-8119-6192c53c94ad/download/figure_s5.xlsx
    Description:

en:
Resource Title: Figure_6.xlsx
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    Description:

en:
Resource Title: Figure_5_BoxPlot.xlsx
    Size: 700716 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/90b29ea3-0369-44cb-9fa8-97571040f5a7/download/figure_5_boxplot.xlsx
    Description:

en:
Resource Title: Figure_4a.xlsx
    Size: 14775 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/2996f370-7afd-42c7-aa26-d0e0c9294629/download/figure_4a.xlsx
    Description:

en:
Resource Title: Figure_4d_PBL.xlsx
    Size: 120872 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/eb1ae284-6a72-4b12-8024-acd6c5440970/download/figure_4d_pbl.xlsx
    Description:

en:
Resource Title: Figure_3b.xlsx
    Size: 12048 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/f0ebe251-4e55-4a35-bd1c-096a0b681c46/download/figure_3b.xlsx
    Description:

en:
Resource Title: Figure_S2.xlsx
    Size: 39274 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/f3c4cb8d-2b09-48e5-b2fd-97d5a0822f16/download/figure_s2.xlsx
    Description:

en:
Resource Title: Figure_4c.xlsx
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/805e6e95-0db8-40e2-a670-8ee4b3d2a60f/download/figure_4c.xlsx
    Description:

en:
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/3f6952e9-7828-4f64-87a9-173774656063/download/figure_7.xlsx
    Description:

en:
Resource Title: Figure_4b.xlsx
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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    Description:

en:
Resource Title: Figure_2.xlsx
    Size: 229479 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/24d48806-2e2b-4111-9bcc-58aeee34f09c/download/figure_2.xlsx
    Description:

en:
Resource Title: Figure_5_SD.xlsx
    Size: 14170 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/fc1ca326-7c4d-4165-92ff-697a33d5f539/download/figure_5_sd.xlsx
    Description:

en:
Resource Title: Figure_4d_FTL.xlsx
    Size: 137483 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/905953fd-03d7-4d4a-8a1b-1a1f069be575/download/figure_4d_ftl.xlsx
    Description:

en:
Resource Title: Figure_S4.xlsx
    Size: 149120 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/f6936b44-4ebd-444a-a13a-39610f9ce17d/download/figure_s4.xlsx
    Description:

aerosol

display_name: aerosol

ccn

display_name: ccn

cloud-droplets

display_name: cloud-droplets

hygroscopicity

display_name: hygroscopicity


en:
This repository contains all observational data sets during CALISHTO campaign used for the paper:
Gao, K., Vogel, F., Foskinis, R., Vratolis, S., Gini, M. I., Granakis, K., Billault-Roux, A.-C., Georgakaki, P., Zografou, O., Fetfatzis, P., Berne, A., Papagiannis, A., Eleftheridadis, K., Möhler, O., and Nenes, A.: Biological and dust aerosol as sources of ice nucleating particles in the Eastern Mediterranean: source apportionment, atmospheric processing and parameterization, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-511, 2024.

en: CALISHTO campaign dataset for the publication Biological and Dust Aerosols as Sources of Ice-nucleating Particles in the Eastern Mediterranean

en: biological-particles inp-parameterization aerosol-source-apportionment aerosol-cloud-interactions ice-nucleation

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

aerosol-cloud-interactions

display_name: aerosol-cloud-interactions

aerosol-source-apportionment

display_name: aerosol-source-apportionment

biological-particles

display_name: biological-particles

ice-nucleation

display_name: ice-nucleation

inp-parameterization

display_name: inp-parameterization


en: Data on: (1) (Dataset 1) spatial distribution of urban beekeeping (number of hives and number of beekeeping locations)  in 14 Swiss cities (Geneva, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) for the period 2012-2018; (2)  (Dataset 2) aggregated data to model the sustainability of urban beekeeping.

en: Challenging the sustainability of urban beekeeping: evidence from Swiss cities

en: urban-biodiversity sustainability urbanization remote-sensing honeybees pollination

en:
Resource Title: Dataset 1
    Size: 144526 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/67cc3748-cca6-491a-a259-90835d32bde9/download/dataset_1.csv
    Description: Dataset 1: Processed data for urban beekeeping 2012 & 2018

en:
Resource Title: Dataset 3
    Size: 94990 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/29911cdc-420c-4fe5-aa2f-ac5be06a4acf/download/dataset_3.csv
    Description: Dataset on the the number of beehives and apiaries on the years 2012, 2013, 2014, 2015, 2016, 2017, 2018 in several Swiss cities.

en:
Resource Title: Dataset 2
    Size: 20820 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/0dfd2c10-a6f8-4ef0-85f6-0fa1d99dad8e/download/dataset_2.csv
    Description: Dataset 2: Processed data for modelling balance urban greenspace

en:
Resource Title: Not used:
    Size: 1543627 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/19c0b00b-578a-4917-b552-bd86a36b98a6/download/aggreated.data.fig1.csv
    Description: Not used for the analyses and not link to the paper.

honeybees

display_name: honeybees

pollination

display_name: pollination

remote-sensing

display_name: remote-sensing

sustainability

display_name: sustainability

urban-biodiversity

display_name: urban-biodiversity

urbanization

display_name: urbanization


en:
The data set contains the re-analyzed (or quality-checked) regional avalanche danger levels (D_QC) for Switzerland.
D_QC relates to dry-snow avalanche conditions only. Measuring the avalanche danger level D is not possible; forecast, nowcast, and hindcast assessments of D are judgments by humans interpreting data. However, combining several pieces of information indicating the same D, it can be expected that it is more likely that D_QC represents the avalanche conditions well.
For the **forecasting seasons 2001/2002 until 2019/2020**, the approach to obtain D_QC is described in detail in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).
For the **forecasting seasons 2020/2021 and later**, D_QC is derived using the following approach:
1. *Combination of forecast (D_forecast) and nowcast (D_nowcast)*: If there was only one assessment available by an observer after a day in the field for a region, and if D_forecast = D_nowcast --- D_QC = D_forecast.
2. *Combination of several nowcast assessments (D_nowcast)*: If two (or more) observers agreed (or majority opinion) in their (independent) assessments of D_nowcast after a day in the field in the same warning region. --- D_QC = D_nowcast.
3. *Hindcast analysis (D_hindcast)*: In Switzerland, avalanche forecasters re-evaluate all situations when D = 4 (high) or D = 5 (very high) were either forecast, should have been forecast, or when forecasters discussed given one of these two levels but had not given them. Generally, two forecasters assess each situation. In these cases, D_QC = D_hindcast. The hindcast analysis, only available since the forecasting season 2020/2021, replaces what was step (2) in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).
All other cases - ties in case of (1) or (2), no new information from the warning region in question, or if no D_hindcast was available - are not considered quality-checked, and are, thus, not contained in the data set.
In addition to D_QC, the file contains information on the elevation and aspect, where D_QC likely prevails.
- The indicated elevation is the mean of the respective elevations in (1), (2), or (3). At danger level 1 (low), when no elevation is indicated in the Swiss forecast, a value of 1500 m is set.
-  For the four cardinal aspects N, E, S, and W, a value of 1 means that there was agreement that D was reached in this aspect and a value of 0 means that there was agreement that D was not reached in this aspect. Intermediate values correspondingly mark disagreements in the assessments.

en: Re-analyzed regional avalanche danger levels in Switzerland

en: avalanche-bulletin verification avalanche-forecasting avalanche-forecast avalanche-danger-level

en:
Resource Title: data_2001-2002_2019-2020.csv
    Size: 1100352 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/b4197f26-0e2a-4831-85dc-f3e66bfffe92/download/dangerleveldataswitzerland_tidy_ft.csv
    Description: D_QC for forecasting seasons 2001/2002 until 2019/2020.

en:
Resource Title: data_2023-2024.csv
    Size: 190996 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/a6564128-022a-421e-bb43-7caefd92bcee/download/data_2023-2024.csv
    Description: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

en:
Resource Title: data_2020-2021_2022-2023.csv
    Size: 428629 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/1f7aa436-aa12-488d-9897-217b8f467670/download/dangerlevel_tidy_2020-2021_2022-2023.csv
    Description: D_QC for forecasting seasons 2020/2021 - 2022/2023.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification


en:
This dataset includes the FORTRAN code of the FSM2trans model version used in the paper: Quéno et al., Snow redistribution in an intermediate-complexity snow hydrology modelling framework, The Cryosphere, 2024.
The FSM2trans code is derived from the FSM2 model (Essery et al., 2015) and its variant FSM2oshd (Mott et al., 2023). In this model, we implemented and adapted the snowdrift model SnowTran-3D (Liston et al., 2007) and the avalanching model SnowSlide (Bernhardt and Schulz, 2010).
This dataset does not include the processing scripts to prepare meteorological input data for the model, provided as bin files.

en: FSM2trans code

en: avalanche snow-modelling snowdrift source-code snowpack

en:
Resource Title: namelist.zip
    Size: 1490 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/b59836a9-e725-4276-92d2-d3e17efc0966/download/namelist.zip
    Description:

en:
Resource Title: README.txt
    Size: 957 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/7446d1e9-634a-4da1-b7ef-7ffc28ea61c4/download/readme.txt
    Description:

en:
Resource Title: code.zip
    Size: 90894 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/2f7b6697-4863-4ab8-8975-11603ba6dd5e/download/code.zip
    Description:

avalanche

display_name: avalanche

snow-modelling

display_name: snow-modelling

snowdrift

display_name: snowdrift

snowpack

display_name: snowpack

source-code

display_name: source-code


en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

en: Larval food composition of four wild bee species in five European cities

en: plant-pollinator-interactions paris chelostoma-florisomne poznan trap-nest osmia-bicornis urban-ecology antwerp hylaeus-communis zurich tartu osmia-cornuta dna-metabarcoding cavity-nesting-bees

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Larval food composition
    Size: 222187 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/549272fe-1219-4eaf-bb06-4e0d130662a6/download/21092021_responses_metabarcoding_clean.csv
    Description:

en:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/8c2661c3-d559-4820-98e7-e0d3ce3c4f0b/download/16072024_study_sties.csv
    Description: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided

en:
Resource Title: Explanation data variables
    Size: 4090 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/a1a07896-7189-46b7-9fb7-c10e4f06d6c4/download/readme.csv
    Description:

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich