en:
This dataset contains the data used in the publication by Techel et al., 2018 _Spatial consistency and bias in avalanche forecasts - a case study in the European Alps_ (Nat Haz Earth Syst Sci).
For details on the data please refer to this publication.
The dataset contains the following:
- shape files for the warning regions in the Alps
- highest forecast danger level for each warning region and day

en: Forecast avalanche danger level European Alps 2011 - 2015

en: avalanche-forecast warning-regions danger-level european-alps snow

envi

en: Environment

en:
Resource Title: Forecast avalanche danger level
    Size: 4052358 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f2dff8e3-fdff-4626-b650-a8ba5c19ef27/resource/688bda43-8216-47b0-8a15-730034676551/download/data_dmax.csv
    Description: contains the highest forecast danger level (dangerLevelMax) for each day and warning region

format: CSV

media_type: text/csv

en:
Resource Title: shape file warning regions Alps
    Size: 378119 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f2dff8e3-fdff-4626-b650-a8ba5c19ef27/resource/c8329c09-60f5-4181-8681-038ebf9615f4/download/warnregionen.zip
    Description:

avalanche-forecast

display_name: avalanche-forecast

danger-level

display_name: danger-level

european-alps

display_name: european-alps

snow

display_name: snow

warning-regions

display_name: warning-regions


soil-respiration-exclosure-experiment

$oid: OBSOLETE

en:
Location of data collection
The Swiss National Park (SNP) is located in the southeastern part of Switzerland, and covers an area of 170 km2, 50 km2 of which is forested, 33 km2 is occupied by alpine and 3 km2 by subalpine grasslands. Elevations range from 1350 to 3170 m a.s.l., and mean annual precipitation and temperature are 871 mm and 0.6°C measured at the Park’s weather station in Buffalora (1980 m a.s.l.) between 1960 and 2009 (MeteoSchweiz 2011). Founded in 1914, the SNP received minimal human disturbance for almost 100 years (no hunting, fishing, or camping, visitors are not allowed to leave the trails). Large (- 1 ha) homogeneous patches of short- and tall-grass vegetation characterize the subalpine grasslands. The average vegetation height of short-grass vegetation is 2 to 5 cm. Red fescue (Festuca rubra L.), quaking grass (Briza media L.) and common bent grass (Agrostis tenuis Sipthrob) are the predominating plant species in this vegetation type. Tussocks of evergreen sedge (Carex sempervirens Vill.) and mat grass (Nardus stricta L.) are predominant in the tall-grass vegetation, which averages 20 cm in vegetation height (Schütz and others 2006). Short-grass vegetation developed in areas where cattle and sheep rested (high nutrient input) during agricultural land-use (from 14th century until 1914); tall-grass vegetation developed in areas where cattle and sheep used to graze, but did not rest (Schütz and others 2003, 2006). Herbivores were shown to consume - 60% of the biomass in short-grass compared to - 20% in tall-grass vegetation (Schütz and others 2006). The herbivore community present in the SNP can be divided into four groups based on body size/weight: large [red deer (Cervus elaphus L.) and chamois (Rupricapra rupricapra L.); 30 - 150 kg], medium [marmot (Marmota marmota L.) and snow hare (Lepus timidus L.); 3 – 6 kg], and small vertebrate herbivores (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp.; 30 – 100 g) as well as invertebrates (e.g. grasshoppers, caterpillars, cicadas, - 5 g).
Experimental design
We selected 18 subalpine grassland sites (9 short-grass, 9 tall-grass vegetation). The sites were spread across the entire park on dolomite parent material at altitudes of 1975 to 2300 meters. At each site we established an exclosure network (fences) in spring 2009 (early June), immediately after snowmelt. Each exclosure network consisted of a total of five 2 × 3 m sized plots that progressively excluded the different herbivores listed above (further labeled according to the herbivore guilds that had access to the respective plots “All”, “Marmot/Mice/Invertebrates”, “Mice/Invertebrates”, “Invertebrates”, “None”). The “All” treatment was thus accessible to all herbivores, was not fenced and was located at least 5 m away from a 2.1 m tall and 7 × 9 m main fence that enclosed the other four treatments. This fence was constructed of 10 × 10 cm wooden posts and electrical equestrian tape (AGRARO ECO, Landi, Bern, Switzerland; 20 mm width) mounted at 0.7 m, 0.95 m, 1.2 m, 1.5 m and 2.1 m above the ground that were connected to a solar charged battery (AGRARO Sunpower S250, Landi, Bern, Switzerland). We also mounted non-electrically charged equestrian tape at 0.5 m to help exclude deer and chamois, yet allow marmots and hares to enter safely. Within each main fenced area we randomly established four 2 × 3 m plots: (1) The “Marmot/Mice/Invertebrates” plot remained unfenced, thus, with the exception of red deer and chamois, all herbivores were able to access the plot, (2) The “Mice/Invertebrates” plot consisted of a 90 cm high electric sheep fence (AGRARO Weidezaunnetz ECO, Landi, Bern, Switzerland; mesh size 10 × 10 cm) connected to the solar panel and excluded all medium sized mammals (marmots, hares), but provided access for small mammals and invertebrates, (3) The “Invertebrates” plot provided access for invertebrates only and was surrounded by 1 m high metal mesh (Hortima AG, Hausen, Schweiz; mesh size 2 × 2 cm), (4) The “None” plot was surrounded by a 1 m tall mosquito net (Sala Ferramenta AG, Biasca, Switzerland; mesh size 1.5 × 2 mm) to exclude all herbivores. This plot was covered with a roof constructed of a wooden frame lined with mosquito mesh that was mounted on the wooden corner posts. We also treated this plot with a biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) when needed to remove insects that might have entered during data collection or that hatched from the soil.
!!! The here published data set only contains data for “All”, and “Marmot/Mice/Invertebrates” (= ungulates excluded) plots !!!
Data collection
In-situ soil CO2 emissions were measured with a PP-Systems SRC-1 soil respiration chamber (closed circuit) attached to a PP-Systems EGM-4 infrared gas analyzer (PP-Systems, Amesbury, MA, USA) on two randomly selected locations on one subplot within each of the 90 plots. For each measurement the soil chamber (15 cm high; 10 cm diameter) was placed on a permanently installed PVC collar (10 cm diameter) driven five centimeters into the soil at the beginning of the study (June 2009). The measurements were conducted between 0900 and 1700 hours every two weeks from early to early September 2009, 2010, 2011 and 2013. Freshly germinated plants growing within the PVC collars were removed prior to each measurement to avoid measuring plant respiration/photosynthesis. The two measurements collected per plot every two weeks were averaged.
Please acknowledge the funding of the study: funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 to Anita C. Risch, Martin Schütz and Flurin Filli

en: Soil respiration - exclosure experiment

en: soil-respiration ungulates grazing subalpine grassland

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

title_for_slug: soil-respiration-exclosure-experiment

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

fr: Environnement

it: Ambiente

format: XLS

grassland

display_name: grassland

grazing

display_name: grazing

soil-respiration

display_name: soil-respiration

subalpine

display_name: subalpine

ungulates

display_name: ungulates


en:
Dataset of an experimental campaign of induced rockfall in Tschamut, Grisons, Switzerland.
The data archive contains site specific geographical data such as DEM and orthophoto as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 30–80 kg of mass. Additionally available are all the StoneNode data streams for rocks equipped with a sensor. The data set consists of
* Deposition points from two series (wet (27/10/2016) and frozen (08/12/2016) ground)
* Digital Elevation Model (grid resolution 2 m) obtained via UAV
* Orthophoto (5 cm resolution) obtained via UAV
* Digitized rock point clouds (.pts input files for RAMMS::ROCKFALL)
* StoneNode v1.0 raw data stream for equipped rocks.
Further information is found in
* A. Caviezel et al., _Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments_, IEEE Transactions on Instrumentation and Measurement, 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/
*  P. Niklaus et al., _StoneNode: A low-power sensor device for induced rockfall experiments_, 2017 IEEE Sensors Applications Symposium (SAS), 2017, 1-6, http://ieeexplore.ieee.org/document/7894081/

en: Induced Rockfall Dataset (Small Rock Experimental Campaign), Tschamut, Grisons, Switzerland

en: rockfall stonenode natural-hazards deposition-points rockfall-experiments induced-rockfall sensor-stream stonenodedata dem rockfall-runout

en:
Resource Title: Induced Rockfall Data, Tschamut, GR
    Size: 83833546 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/5b7a47bf-cbea-42a0-879f-ea2ccd17e82f/resource/3be3d9f6-cf12-4dbc-bdf1-80e101fb47f7/download/2018_rf_tschamut.7z
    Description: __ Induced Rockfall Experimental Data, Tschamut, GR, Switzerland__

The archive contains site specific geographical data as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 30–80 kg of mass. Additionally availabe are the StoneNode v1.0 sensor streams for the equipped rocks.

The _OverviewFigures_ file serves as quick representation of the included data. It also contains the overview table for the rock masses in order to set the dimensions accordingly in RAMMS::ROCKFALL.

The archive contains the following folders:
<\ul>
* DEM: ArcGIS compatible DEM Tschamut_DEM_2m (grid resolution of  2 m) as well as the .asc grid used in RAMMS::ROCKFALL simulations
* _DepositionPoints_: containing two folders _RF Tschamut Frozen_ and _RF Tschamut WET_ containing each a shapefile with the complete deposition data of each series as well as deposition shapfiles for each rock shape.
* _DigitizedRocks_: Digitized point clouds of the used rocks as used for RAMMS::ROCKFALL simulations (.pts files) (dimensions have to be checked).
* _Orthofoto_: Orthophoto of the experimental site obtained via UAV with 5 cm resolution.

en:
Resource Title: StoneNode v1.0 Data for equipped experimental Runs.
    Size: 6899716 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/5b7a47bf-cbea-42a0-879f-ea2ccd17e82f/resource/c80b0561-d5f8-4bd6-97e7-ec5a15bfd84e/download/experimentalruns_sensorstreams.7z
    Description: Corresponding StoneNode v1.0 data streams belonging to the deposition points.

dem

display_name: dem

deposition-points

display_name: deposition-points

induced-rockfall

display_name: induced-rockfall

natural-hazards

display_name: natural-hazards

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

rockfall-runout

display_name: rockfall-runout

sensor-stream

display_name: sensor-stream

stonenode

display_name: stonenode

stonenodedata

display_name: stonenodedata


lwf-tea-bag-sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

en: LWF-Tea bag sites

en: decomposition modeling green-tea verification carbon litter roiboos forest tea-bag

title_for_slug: lwf-tea-bag-sites

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification


en:
In summer 2014, 6 rock blocks between 20 and 80kg have been thrown in total 111 times down a slope at the Swiss Oberalppass close to the village Tschamut. The slope was mainly covered by grass and its lower part was flat and large enough to provide natural runouts of the single trajectories.
An extensive measurement program has been set up to measure the block trajectories: With surveyor's instruments the slope and the six used rock blocks were scanned and the start and end positions of each test were recorded. During the single events two cameras filmed the trajectories. A special sensor device located within the blocks recorded the acting accelerations and rotational speeds over time. Further, the device emitted a Wifi signal that got detected from eight receivers around the slope. Based on this signal the block position has been recorded over time.
The dataset contains all data that were gathered through above field campaign.

en: Repetitive trajectory testing in Tschamut 2014

en: experiment field-test mass-movements rockfall trajectory natural-hazards field-data experiments field-tests

en:
Resource Title: Tschamut2014_Slope+BlockScans
    Size: 1779331 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6a7664a6-77a9-49c9-9498-4b63c018fa09/resource/8cf275ca-06d0-47cf-b67f-48780b019ae6/download/geosciences-08-00088-s001.zip
    Description: These data contain the point clouds obtained from laser scanning the test slope and the six test blocks used for the experiments. The coordinates of the slope are given in CH-1903 format. The coordinates of the block point clouds are kept in a lokal x/y/z coordinate system.

format: ZIP

media_type: application/zip

en:
Resource Title: Overview of all tests
    Size: 44962 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6a7664a6-77a9-49c9-9498-4b63c018fa09/resource/467dc8f8-9069-4c87-8856-3d12817633be/download/overviewalltests.zip
    Description: This table gives an overview on all tests performed including
- block used
- start & end position
- number of jumps
- etc.
-

en:
Resource Title: Jumps and impacts
    Size: 1051503 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6a7664a6-77a9-49c9-9498-4b63c018fa09/resource/e2f0958e-2b51-49ce-ba25-40c4ffd331a7/download/jumpsandimpacts.zip
    Description: This table contains data of more than 2200 of each jumps and impacts of the test blocks on a grassy slope. It gives there durations in combination with acting accerlartions and the rotational speed of the blocks. The data were retrieved using the block internal accelerometer and rotation sensors. The combination of these data with the measurement from the local positioning system allows the deduction of jump lengths, slope gradient etc.

en:
Resource Title: Block trajectories recorded from local positioning system
    Size: 6430962 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6a7664a6-77a9-49c9-9498-4b63c018fa09/resource/b6dc0f14-5b86-4353-a2a6-ef06c0ddf0ad/download/trajectoriesfromlps.zip
    Description: This file contains more than 80 rockfall trajectories projected onto the terrain, i.e. the positions of the single blocks over time during the single tests that were recorded by the local positioning system with about 10Hz. It contains the detected positions as well as a smoothened path (see Volkwein et al., Geosciences, 2018). The table also contains the derived velocities and accelerations along the slope (attention: these accelerations are the once that occur during an impact).

experiment

display_name: experiment

experiments

display_name: experiments

field-data

display_name: field-data

field-test

display_name: field-test

field-tests

display_name: field-tests

mass-movements

display_name: mass-movements

trajectory

display_name: trajectory


en: We recorded snow ablation maps with a terrestrial laser scanner (TLS, Riegl-VZ6000) at the Gletschboden area. The TLS position is located approximately 30 vertical meters above the Gletschboden area at a northerly exposed slope. In total 44 TLS measurement sets have been conducted in three consecutive years 2014-2016 (2014: 13 measurements; 2015: 17 measurements; 2016: 14 measurements). The TLS system has a single-point measurement frequency of 300 kHz and a beam divergence of 0.007°. This set-up allows a horizontal resolution of approximately 0.01 m in 100 m distance to the TLS position. One scan of the Gletschboden area lasts approximately 15 minutes. The travel time from the laser scanner towards the surface is recorded and afterwards converted into a point cloud of distances. 5 reflectors located at the Gletschboden area and in the closer surroundings were additionally scanned during each measurement to transform the point cloud from the scanner own coordinate system into Swiss coordinates. Additionally, orthophotos have been created by using pictures recorded from the TLS in order to provide snow mask maps. Snow and bare ground can be distinguished by the RGB color information of the orthophoto. Cells with blue band information greater than 175 were categorized as snow and all cells with values smaller or equal 175 were categorized as bare ground.

en: DISCHMEX - High-resolution daily snow ablation rates in an Alpine environment

en: tls patchy-snow-covers snow-ablation-rates terrestrial-laser-scanning riegl-vz6000

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.

envi

en: Environment

en:
Resource Title: Gletschboden test site
    Size: 352578 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/645e45ec-fc90-432c-a29e-d1d79781d5b2/download/dischma_neu.pdf
    Description:

format: PDF

media_type: application/pdf

en:
Resource Title: Snowmask 2016
    Size: 1979860 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/2b54670d-74e9-4ea5-8fcd-4ea98ad26ed6/download/2016snowmask.zip
    Description:

en:
Resource Title: DEM 2014
    Size: 76297946 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/299a98ef-94e5-4bdd-912f-24b347d20da6/download/2014dem.zip
    Description: Digital Elevation Modell 2014

en:
Resource Title: DEM 2016
    Size: 73447711 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/787f969b-71db-4ec9-967b-7e0198dd9d71/download/2016dem.zip
    Description: Digital Elevation Modell 2016

en:
Resource Title: Snowmask 2014
    Size: 2069460 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/5a5b22eb-a0ae-4552-a7b3-34631c3ae998/download/2014snowmask.zip
    Description:

en:
Resource Title: DEM 2015
    Size: 85474333 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/9d19c582-76ca-45df-b032-46d8346f45be/download/2015dem.zip
    Description: Digital Elevation Modell 2015

en:
Resource Title: Snowmask 2015
    Size: 6736562 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b961ebc-1c86-45ec-8b6d-8efdd2e8babe/resource/89c08602-142c-4fdb-9c76-3993a9d0dbfc/download/2015snowmask.zip
    Description:

patchy-snow-covers

display_name: patchy-snow-covers

snow-ablation-rates

display_name: snow-ablation-rates

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

tls

display_name: tls


weissfluhjoch-dataset-for-esm-snowmip

en: This Weissfluhjoch dataset is a processed version  of the Weissfluhjoch dataset version 6 from https://doi.org/10.16904/6. This dataset was specially created for the ESM-SnowMIP project. Here it is documented how this dataset has been created.

en: Weissfluhjoch dataset for ESM-SnowMIP

en: snow-depth esm-snowmip weissfluhjoch snow snow-models

envidat

en: EnviDat: the Environmental Data Portal

title_for_slug: weissfluhjoch-dataset-for-esm-snowmip

en:
Resource Title: Dataset Weissfluhjoch for ESM-SnowMIP
    Size: 11596605 bytes
    Format: application/x-smet
    URL: https://www.envidat.ch/dataset/a9264e9f-ea9b-4c89-b471-464efb891826/resource/a5918c50-6716-4dcf-b462-e1970ae1e072/download/wfj.smet
    Description: Dataset Weissfluhjoch for ESM-SnowMIP

en:
Resource Title: WFJ_AirPressure_Data.zip
    Size: 4688961 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9264e9f-ea9b-4c89-b471-464efb891826/resource/b834a645-c5e0-4bf1-bceb-17a2eb62b61a/download/wfjairpressuredata.zip
    Description: WFJ_AirPressure_Data.zip

en:
Resource Title: ini file
    Size: 1410 bytes
    Format: text/x-ini
    URL: https://www.envidat.ch/dataset/a9264e9f-ea9b-4c89-b471-464efb891826/resource/c7f7533e-03f2-42c2-ad82-36d3c6ab8fd2/download/io.ini
    Description: This ini file is required by data-converter from MeteoIO version 1887 (http://models.slf.ch/p/meteoio/)

en:
Resource Title: Conversion script
    Size: 900 bytes
    Format: text/x-sh
    URL: https://www.envidat.ch/dataset/a9264e9f-ea9b-4c89-b471-464efb891826/resource/aa8942dc-5fe5-4792-bf4b-1b950d9c6204/download/createwfjdataset.sh
    Description: Use this script to convert WFJ_optimaldataset_v6.smet to wfj.smet, the file that is used for the ESM-SnowMIP project. It also requires the file: WFJ_AirPressure_Data.zip

Use: bash create_wfj_dataset.sh > input/wfj.smet

esm-snowmip

display_name: esm-snowmip

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-models

display_name: snow-models

weissfluhjoch

display_name: weissfluhjoch


en:
The dataset comprises - 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.
 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.
 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..
 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.
 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

en: Calibration data for empirical mortality models of 18 European tree species

en: tree-mortality forest-reserves tree-growth empirical-mortality-models inventory-data

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.

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality


en:
Stable water isotopes (δ18O) obtained from snow and ice samples of polar regions are used to reconstruct past climate variability, but heat and mass transport processes can affect the isotopic composition. Here we present an experimental study on the effect on the snow isotopic composition by airflow through a snow pack in controlled laboratory conditions. The influence of isothermal and controlled temperature gradient conditions on the δ18O content in the snow and interstitial water vapor is elucidated. The observed disequilibrium between snow and vapor isotopes led to exchange of isotopes between snow and vapor under non-equilibrium processes, significantly changing the δ18O content of the snow. The type of metamorphism of the snow had a significant influence on this process.
Ebner, P. P., Steen-Larsen, H. C., Stenni, B., Schneebeli, M., and Steinfeld, A.: Experimental observation of transient δ18O interaction between snow and advective airflow under various temperature gradient conditions, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-16, accepted, 2017.

en: Experiments on stable water isotopes,  snow metamorphism, and advection

en: snow advection stable-water-isotope 18o metamorphism

envi

en: Environment

en:
Resource Title: Read-me
    Size: 974 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/f87efc01-9914-4a75-998f-7dfc1fcef563/resource/92a315fd-1e17-4b9e-bce3-e69a3fac0d0a/download/readme.txt
    Description: A short description of the data contained in the zipped-file. Recommended for reading before downloading the dataset.

format: TXT

media_type: text/plain

en:
Resource Title: Data files and read-me
    Size: 8226023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f87efc01-9914-4a75-998f-7dfc1fcef563/resource/e133ed87-de41-4595-87c9-b07f696c5cce/download/archive.zip
    Description: raw data and micro-CT data available from contacts

advection

display_name: advection

metamorphism

display_name: metamorphism

stable-water-isotope

display_name: stable-water-isotope


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
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    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
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    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
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    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:
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    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:
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    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
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    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:
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    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
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    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:
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    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:
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    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:
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format: PNG

media_type: image/png

en:
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    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:
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    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:
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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:
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en:
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    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


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

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:
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    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:
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    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
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    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.

en:
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    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:
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    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:
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    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
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    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-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

boundary-layer-winds

display_name: boundary-layer-winds

saltation

display_name: saltation

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

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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    Description:

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

media_type: text/html

en:
Resource Title: Long-term Irrigation	Experiment Pfynwald homepage
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    URL: https://www.wsl.ch/en/about-wsl/instrumented-field-sites-and-laboratories/experimental-sites-in-forests/pfynwald.html
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en:
Resource Title: Dataset
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en:
Resource Title: Site photo 1
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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
    Size: 9330316 bytes
    Format: image/jpeg
    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

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).

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

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
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    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

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
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    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