en:
The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat.
Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

en: Large GIS raster data derived from Natural Earth Data (Cross Blended Hypso with Shaded Relief and Water)

envi

en: Environment

de:
Resource Title: map preview 0.5MB
    Size: 482223 bytes
    Format: image/jpeg
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.68/gisdata/tiny_map_preview.jpg
    Description:

format: jpeg

de:
Resource Title: Bulk Data Access
    Size: 111669149696 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.68%2F
    Description: Link to the S3 bucket where all the data resources can be downloaded in bulk

gis

display_name: gis

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis


$oid: OBSOLETE

en:
This dataset contains the data used  and collected to investigate the reliability of avalanche size estimates and avalanche outlines (see related publications). Namely this is
 Avalanche size estimates
* the 10 pictures depicting avalanches
* the survey results from the 170 participants
 Avalanche outlines mapped from oblique photographs
* the pictures of the six avalanches
* the avalanche outlines mapped by the 10 participants
* the reference mapped from the georeferenced photographs
 Avalanche outlines from remotely-sensed imagery
* the orthophotos in the four different resolutions (2m, 1m, 50cm, 25cm)
* the area of interest (AoI) delimiting the research area
* the avalanche mappings in each resolution for all five participants
* the shade masks used to separate illuminated and shaded areas
The acquisition of the orthophotos has been partially supported by the Swiss National Science Foundation (SNF; Grant N°200021_172800).

en: avalanche-size-estimation remote-sensing avalanche reliability avalanche-mapping

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

en: Data reliability study: avalanche size estimates and outlines

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

fr: Environnement

it: Ambiente

format: ZIP

avalanche

display_name: avalanche

avalanche-mapping

display_name: avalanche-mapping

avalanche-size-estimation

display_name: avalanche-size-estimation

reliability

display_name: reliability

remote-sensing

display_name: remote-sensing


en:
We developed a workflow to generate Large Scale Hazard Simulations for avalanches based on digital elevation models and information on the protective function of the forest. This datasets contains the potential avalanche release areas (PRA) as polygons, the simulation outputs (maximum pressure, maximum flow velocity and maximum flow height) as .tif rasters and the outlines of the simulated avalanches (polygon) for the entire area of the canton of Grisons (7105 km2). The simulations are performed for the scenarios wit return periods of 10, 30, 100 and 300 years, once with (FOR) and once without (NoFor) taking the effect of the forest into account.
The details can be found in this publication:
Bühler, Y., Bebi, P., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., Marty, C., Schmucki, G., Caviezel, A., Kühne, R., Wohlwend, S., and Bartelt, P.: Automated avalanche hazard indication mapping on state wide scale, Nat. Hazards Earth Syst. Sci. Discuss., 2022, 1-22, 10.5194/nhess-2022-11, 2022.

en: modelling hazard-mapping avalanche release ramms impact-pressure

en: Large Scale Hazard Indication Simulations for avalanches, canton of Grisons

de:
Resource Title: Scenario 10 years without forest
    Size: 924911068 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/60fe952f-bdec-418b-9399-36bdb4ef2faf/download/10ynofor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 100 years with forest
    Size: 805376043 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/01d6b5be-6c29-4e2e-99da-f964c91de64f/download/100yfor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 10years with Forest
    Size: 661720583 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/d3574570-66a9-4c25-b196-727a7123dd7a/download/10yfor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 300 years with forest
    Size: 846835441 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/3d0bff73-c8e1-4f2e-9a38-f83b3a4b98ee/download/300yfor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 30 years without forest
    Size: 945391364 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/d332e2fd-d8b0-4d4b-9c3e-fefed822908a/download/30ynofor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 30 years with forest
    Size: 692742534 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/5986053e-b75f-484b-8adc-c3e19261adef/download/30yfor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Scenario 100 years without forest
    Size: 1020375084 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/d5c001b9-1321-4f3d-9f93-89b0c9479dd0/download/100ynofor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

de:
Resource Title: Extent of the canton of Grisons
    Size: 685814 bytes
    Format: application/json
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/70e9127c-8510-497c-a3f5-9637aa6d2b8e/download/extent_kt_gr.json
    Description:

format: JSON

media_type: application/json

de:
Resource Title: Scenario 300 years without forest
    Size: 1042271198 bytes
    Format: application/x-7z-compressed
    URL: https://www.envidat.ch/dataset/e6f8ad1b-8e7e-442e-a2f9-7c8cff814110/resource/953acbf3-3a6a-4df1-acf8-ef4108f5f0a9/download/300ynofor.7z
    Description: PRA_.shp = avalanche release areas shape file with the attributes in the attribute table
_maxHEIGHT.tif = maximum flow height [m]
_maxPRESSURE.tif = maximum impact pressure [kPa]
_maxVELOCITY.tif = maximum flow velocity [m/s]
_outlines = outline shape file of every avalanche simulation linked to the PRA shape file by ID

hazard-mapping

display_name: hazard-mapping

impact-pressure

display_name: impact-pressure

modelling

display_name: modelling

ramms

display_name: ramms

release

display_name: release


en:
Outlines of 6'041 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 16 January 2019. The dataset was acquired following a period with very high avalanche danger. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping16012019.pdf)
The generation of the data is described in:
Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.
The data was comprehensivly validated in a subset area in
Hafner, E.D.; Techel, F.; Leinss, S.; Bühler, Y., 2021: Mapping avalanches with satellites - evaluation of performance and completeness. Cryosphere, 15, 2: 983-1004. doi: 10.5194/tc-15-983-2021

en: natural-hazard hazard-mapping satellite snow avalanche

en: SPOT6 Avalanche outlines 16 January 2019

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow


en:
Validation points, validation area, ground truth coverage, SPOT 6 avalanche outlines, Sentinel-1 avalanche outlines, Sentinel-2 avalanche outlines, Davos avalanche mapping (DAvalMap) avalanche outlines as shapefiles and a detailed attribute description (DataDescription_EvalSatMappingMethods.pdf).
Coordinate system: CH1903+_LV95
The generation of this dataset is described in detail in:
Hafner, E. D., Techel, F., Leinss, S., and Bühler, Y.: Mapping avalanches with satellites – evaluation of performance and completeness, The Cryosphere, https://doi.org/10.5194/tc-2020-272, 2021.

en: avalanche-hazard-mapping validation satellite snow avalanche

en: Satellite avalanche mapping validation data

avalanche-hazard-mapping

display_name: avalanche-hazard-mapping

validation

display_name: validation


en:
This data set contains the produced snow depth maps as well as the reference data set (manual and snow pole measurements) from our paper "Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping".
Abstract. Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability of snow depths present in alpine terrain. Photogrammetric mapping techniques have progressed in recent years and are capable of accurately mapping snow depth in a spatially continuous manner, over larger areas, and at various spatial resolutions. However, the strengths and weaknesses associated with specific platforms and photogrammetric techniques, as well as the accuracy of the photogrammetric performance on snow surfaces have not yet been sufficiently investigated. Therefore, industry-standard photogrammetric platforms, including high-resolution satellites (Pléiades), airplane (Ultracam Eagle M3), Unmanned Aerial System (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex camera, Canon EOS 750D), were tested for snow depth mapping in the alpine Dischma valley (Switzerland) in spring 2018. Imagery was acquired with airborne and space-borne platforms over the entire valley, while Unmanned Aerial Systems (UAS) and terrestrial photogrammetric imagery was acquired over a subset of the valley. For independent validation of the photogrammetric products, snow depth was measured by probing, as well as using remote observations of fixed snow poles.
When comparing snow depth maps with manual and snow pole measurements the root mean square error (RMSE) values and the normalized median deviation (NMAD) values were 0.52 m and 0.47 m respectively for the satellite snow depth map, 0.17 m and 0.17 m for the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth map. The area covered by the terrestrial snow depth map only intersected with 4 manual measurements and did not generate statistically relevant measurements. When using the UAS snow depth map as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. When compared to the airplane dataset over a large part of the Dischma valley (40 km2), the snow depth map from the satellite yielded a RMSE value of 0.92 m and a NMAD value of 0.65 m. This study provides comparative measurements between photogrammetric platforms to evaluate their specific advantages and disadvantages for operational, spatially continuous snow depth mapping in alpine terrain over both small and large geographic areas.

en: airplane snow-depth snow-water-equivalent terrestrial uas photogrammetry satellite

en: Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland)

de:
Resource Title: Snow depth map terrestrial (Canon EOS 750D), Schürlialp, Davos, Switzerland
    Size: 141435530 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/78c3e0a0-c377-4421-86c4-550c38ebcd14/download/hs_ground_based_20180407_0_11.tif
    Description: Resolution 0.11 m
Coordinate system: LV95 LHN95

format: TIFF

media_type: image/tiff

de:
Resource Title: Manual and snow pole measurements, Schürlialp, Davos, Switzerland
    Size: 4150 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/1021ffa6-1311-45d3-a47d-61a0a18987cd/download/schneehohenzusammenfassung_fur_publikation.txt
    Description: This text file contains the average value for each manual snow depth measurements and the measured value of the snow pole measurements. The coordinates are in the horizontal Swiss coordinate system LV95. These values are used as reference measurement for comparison 1 as descriped in the paper.

format: TXT

media_type: text/plain

de:
Resource Title: Snow depth map satellite (Pléiades), Schürlialp, Davos, Switzerland
    Size: 2662248 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/d1d2303e-db33-4a7b-b517-452c7f68d3d6/download/hs_pleiades_2m_aligned_on_ebee.tif
    Description: Resolution: 2 m
Coordinate system: LV95 LHN95
© CNES 2018, Distribution Airbus DS

de:
Resource Title: Snow depth map UAS (eBee+), Schürlialp, Davos, Switzerland
    Size: 1063331206 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/bc0acce9-36df-4c77-a83a-2a959ff34b23/download/hs_20180407_schurlialp_ebee_0_09m.tif
    Description: Resolution: 0.9 m
Coordinate system: LV95 LHN95

de:
Resource Title: Snow depth map airplane (Ultracam Eagle M3), Schürilalp, Davos, Switzerland
    Size: 474100554 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/bb6310e8-dfa1-4dc7-b7a6-823cbaca24f8/download/hs_ultracam_20180411_0_11_ebee.tif
    Description: Resolution: 0.11 m
Coordinate system: LV95 LHN95

de:
Resource Title: Snow depth map airplane (Ultracam Eagle M3), Dischma valley, Davos, Switzerland
    Size: 455957254 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/94e7debd-7500-444e-8727-56e18a3aa583/download/hs_ultracam_lhn95_als_0_5m.tif
    Description: Resolution: 0.5 m
Coordinate system: LV95 LHN95

de:
Resource Title: Snow depth map satellite (Pléiades), Dischma valley, Davos, Switzerland
    Size: 48454014 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/a41c5b83-a803-4527-b6f9-4d365ef84228/resource/e33b05cc-077b-4ad8-8449-095d4c6d2761/download/hs_pleiades_lh95_2m_on_al.tif
    Description: Resolution: 2 m
Coordinate system: LV95 LHN95
© CNES 2018, Distribution Airbus DS

airplane

display_name: airplane

photogrammetry

display_name: photogrammetry

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

terrestrial

display_name: terrestrial

uas

display_name: uas


en:
This data set contains roughly 5600 photographs of plants and plant parts from 153 sites recorded in all major biogeographic regions of Switzerland using smartphone cameras. Image names contain a letter referring to depicted plant parts: b = bark, i = inflorescence, f = infructescense, s = several parts, v = vegetative parts.
Photos are grouped in folders by observation (individual or population), i.e., photos in the same folder are of the same species, observed at the same time and sampling plot. At a higher organisational level, these folders are grouped by sampling plot (usually 3×3 m in open areas and 10×10 m in forests). The main folder contains metadata including taxon name, sampling time and location, as well as the TypoCH habitat type encoded as integers.
This data set accompanies the following publication:
Popp, M. R., Zimmermann, N. E. & Brun, P. Evaluating the use of automated plant identification tools in biodiversity monitoring—a case study in Switzerland. _Ecological Informatics_ **103316** (2025) doi:[10.1016/j.ecoinf.2025.103316](https://doi.org/10.1016/j.ecoinf.2025.103316).

en: testing vascular-plants plant-species photo species-observations

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Photos of vegetative and reproductive parts of 560 vascular plant species taken in all biogeographic regions of Switzerland

envi

de: Umwelt

en: Environment

photo

display_name: photo

plant-species

display_name: plant-species

species-observations

display_name: species-observations

testing

display_name: testing

vascular-plants

display_name: vascular-plants


en: “Flavescence dorée” (FD) is a quarantine grapevine disease associated with FD phytoplasmas (FDp). In Switzerland, FD was identified in 2004 in the southernmost part of Canton Ticino (TI) and then rapidly propagated throughout the entire regional winegrowing area despite the mandatory control measures. The reported widespread distribution of gone-wild grapevines (GWGV) in TI raised the hypothesis of a potential role of GWGV as an FDp reservoir and as a habitat for FDp vectors. To test this assumption, GWGV and FDp vectors were sampled in 13 plots to attest their infection status and compare the FDp genetic profiles. The primary (Scaphoideus titanus) and best-candidate alternative (Orientus ishidae) vectors were collected throughout the season and were found in moderate to high abundance in all the study area. The infection rate of both GWGV and S. titanus followed the historical gradient of S. titanus arrival and dispersal in TI with a clear geographic distinction between the southern and northern part of TI. Interestingly, the rate measured for S. titanus was similar to that observed in highly FD-infested cultivated vineyards. Moreover, the genetic profiles of the infected GWGV and S. titanus samples were identical to those commonly observed in cultivated vineyards (map M54). Importantly, four specimens of O. ishidae were also found harboring the same genotype. This study emphasizes the importance of GWGV (and abandoned vineyards) and alternative vectors for the FD epidemics in FD-infested regions, as well as a potential origin for FD outbreaks in areas currently designated as FDp-free.

en: genotyping orientus-ishidae switzerland scaphoideus-titanus grapevine-yellows southern-switzerland flavescence-doree

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: Gone-wild grapevines in forests host phytoplasma genotypes linked to grapevines Flavescence doree epidemics in cultivated vineyards and competent vectors

de:
Resource Title: Fig1.tif
    Size: 9840462 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/7f549751-89fa-4ec7-bff2-2ebe6dbb752c/download/fig1.tif
    Description: Location of the experimental plots in Canton Ticino
(a) Location of the study area within Switzerland; T = Ticino
(b) Black dots: plots hosting GWGVs monitored for the presence of FDp-infected insect and plant samples.
Sopra = Sopraceneri (Ticino); Sotto = Sottoceneri (Ticino). Grey areas = cultivated vineyard area.

de:
Resource Title: Online_Resource_1.docx
    Size: 28482 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/5cb014fc-23e8-48dc-a60d-fdadd4630c78/download/online_resource_1.docx
    Description: Phytoplasma sequences from this work and reference strains with their GenBank accession number, hosts, geographic origin and reference.

de:
Resource Title: Table_1.docx
    Size: 20794 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/82445fda-75b9-490c-a8e8-a71958f2e3db/download/table_1.docx
    Description: Plot characteristics in terms of coordinates, region, mean slope, closest distance from nearest cultivated vineyard (DV), distance range between yellow sticky trap and nearest forest edge (DF), last time registered as cultivated vineyard (Last_T); absolute captures (N) and mean captures per hundred leaves (mean/100 leaves ± SE) during nymph collection for Scaphoideus titanus and Orientus ishidae, absolute captures (N) and mean captures per single yellow sticky trap (mean/trap ± SE).

de:
Resource Title: Table_3.docx
    Size: 15404 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/cfc1e011-612e-48ce-99ee-73427264ab12/download/table_3.docx
    Description: Results of molecular analysis for the detection of Flavescence dorée phytoplasma in symptomatic and asymptomatic leaf samples collected from gone-wild grapevines; number of analyzed and infected leaf samples, and map genotype (conducted on all FDp-infected samples).

de:
Resource Title: Table_2.docx
    Size: 16961 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/bade5ec3-6d04-4fcb-a35f-dccec84dd114/download/table_2.docx
    Description: Molecular characterization of the Flavescence dorée phytoplasma detected in Scaphoideus titanus and Orientus ishidae specimens collected on gone-wild grapevines; number of analyzed and infected insect specimens and genotype profile for the map, vmpA and malG genes.

de:
Resource Title: Fig3.jpg
    Size: 3981322 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/8649c388-56cc-44eb-8ae5-10c43a41fecf/download/fig3.jpg
    Description: Phylogenetic tree of the map (a; partial) and vmpA (b) genes sequences from Scaphoideus titanus, Orientus ishidae and gone-wild grapevines obtained in this work and reference strains from Genbank (see Online Resource 1). Maximum likelihood phylogeny based on nucleotide sequences of (A) map (543 bp) and (B) vmpA (465 bp) genes. The numbers on branches indicate the level of bootstrap support (500 replicates). Support values above 70% are labeled. The scale bar shows the number of substitutions per site.

de:
Resource Title: Fig2a.tif
    Size: 27909824 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/cec4b2d9-9530-44c4-9306-d594edae3fbc/resource/8ef34548-f561-4866-91d4-d9eb418f0fe1/download/fig2a.tif
    Description: Flavescence dorée detection on the analyzed insect (a) and gone-wild grapevine (b) samples
(a)	Circles: location with insect vectors tested for Flavescence dorée phytoplasma; horizontal bar: S. titanus FDp-infected with map-genotype M54; diagonal line top right to bottom left; O. ishidae FDp-infected with map-genotype M54; diagonal line top left to bottom right: O. ishidae FDp-infected with map-genotype M50
(b)	Circles: Gone-wild grapevines (GWGV) tested for FDp; vertical bar: symptomatic and FDp-infected samples; horizontal bar: asymptomatic and FDp-infected samples. Sopra = Sopraceneri (Ticino); Sotto = Sottoceneri (Ticino). Grey areas = cultivated vineyard area.

flavescence-doree

display_name: flavescence-doree

genotyping

display_name: genotyping

grapevine-yellows

display_name: grapevine-yellows

orientus-ishidae

display_name: orientus-ishidae

scaphoideus-titanus

display_name: scaphoideus-titanus

southern-switzerland

display_name: southern-switzerland

switzerland

display_name: switzerland


en: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.

en: solution brine chemistry interface ozone alpine heterogeneous snow laboratory-study arctic antarctica metamorphism reaction

en: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study

de:
Resource Title: Matlab Data
    Size: 1008529 bytes
    Format: application/x-matlab
    URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/2cbff0e6-bf62-4476-a533-10cb745520ed/download/edebeli_acp_2020__data.mat
    Description: All data as Matlab mat file

de:
Resource Title: Matlab Script to view and plot data
    Size: 9299 bytes
    Format: application/vnd.wolfram.mathematica.package
    URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/b718b5db-b15c-4f88-95a9-ce649b79308a/download/edebeli_acp_2019__snowbrmet.m
    Description:

de:
Resource Title: Readme file
    Size: 503143 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/d41fa166-35e9-430f-b96d-a5862556d9cd/download/edebeli_acp_2019__snowbrmet.pdf
    Description: This file shows data, code, and plots.

format: PDF

media_type: application/pdf

alpine

display_name: alpine

antarctica

display_name: antarctica

arctic

display_name: arctic

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

snow

display_name: snow

solution

display_name: solution


hymenoptera

en:
Hymenopteran data from all historic up to the recent projects (29.10.2019) of WSL, collected with various standardized methods in landscapes of different types.
Data are provided on request to contact person against bilateral agreement.

en: urban arthropoda agricultural hymenoptera hautfluger forests

en: Hymenoptera

title_for_slug: hymenoptera

agricultural

display_name: agricultural

arthropoda

display_name: arthropoda

forests

display_name: forests

hautfluger

display_name: hautfluger

hymenoptera

display_name: hymenoptera

urban

display_name: urban


en:
Important note: From 2025 the NEAD format is being transformed into the interoperable CSV (iCSV) format, a formalized and standardized evolution of the NEAD format. Furthermore, iCSV should be backwards compatible with NEAD. More information on the new iCSV format will be linked here in due time.
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.
The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).
-----------------------
Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories.
License: The NEAD specifications are released to the public domain under a Creative Commons 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: meteorological-data-format csv nead metadata-convention research-data-management

en: Non-Binary Environmental Archive Data (NEAD) format

de:
Resource Title: NEAD on GitHub
    Size: 1024 bytes
    Format: No Info
    URL: https://github.com/GEUS-PROMICE/NEAD
    Description:

de:
Resource Title: NEAD syntax v0.1 (EBNF)
    Size: 3383 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d51285c9-953d-42e5-a925-20209cde10e5/resource/bf21243d-cdb9-47a8-a15b-d42efaef5d82/download/ebnf.txt
    Description:

de:
Resource Title: PyNEAD (future reference implementation)
    Size: 1024 bytes
    Format: No Info
    URL: https://github.com/GEUS-PROMICE/pyNEAD
    Description:

de:
Resource Title: MeteoIO (future reference implementation)
    Size: 1024 bytes
    Format: text/html
    URL: https://www.slf.ch/en/services-and-products/meteoio.html
    Description:

format: HTML

media_type: text/html

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management


en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present downscaled climate data for the CORDEX EUR11 domain at a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperature lapse rates. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height. The resulting data consist of a daily temperature and precipitation timeseries.
The data is distributed under a: Creative Commons: Attribution 4.0 International (CC BY 4.0) license.

en: minimum-temperature europe air-temperature eur11 precipitation maximum-temperature cordex daily-climate

envidat

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

de: EnviDat: das Umwelt-Datenportal

en: High resolution climate data for Europe

de:
Resource Title: CHELSA_EUR11 technical documentation
    Size: 713475 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/9e2c4a69-443d-4eb1-b8ab-697fd50bc7d2/resource/bc1df26a-0b8f-4547-872d-f00ed45db554/download/chelsa_eur11_technical_documentation.pdf
    Description: Technical documentation of the data with variable names and methodology.

de:
Resource Title: Data Access
    Size: 2199023255552 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav2&prefix=EUR11%2F
    Description:

air-temperature

display_name: air-temperature

cordex

display_name: cordex

daily-climate

display_name: daily-climate

europe

display_name: europe

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation


en: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.

en: alptal stream-water hydrology catchment stable-water-isotope precipitation

de: EnviDat

en: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments

envi

de: Umwelt

en: Environment

de:
Resource Title: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2
    Size: 158372 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/d26ca42e-4cdb-4ef8-bf35-a87d5239757d/download/data-set-documentation_sdata-21-00930.pdf
    Description: Documentations contains meta data of the data columns and information about the study catchments.

de:
Resource Title: Alptal_Isotopes_daily_2015-2019_v2.txt
    Size: 760332 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/7865517d-357b-4e08-8b6a-b405eca4e547/download/alptal_isotopes_daily_2015-2019_v2.txt
    Description: Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality

de:
Resource Title: Alptal_Isotopes_daily_2015-2019
    Size: 717293 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/8a06beab-3092-45d3-ad41-a59d79e6cb71/download/alptal_isotopes_daily_2015-2019.txt
    Description: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley

alptal

display_name: alptal

catchment

display_name: catchment

hydrology

display_name: hydrology

stable-water-isotope

display_name: stable-water-isotope

stream-water

display_name: stream-water


en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to  examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.
This dataset consists of  1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.
The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

en: granular-snow grain-shape fast-sintering angle-of-repose discrete-element-modelling

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: Angle of repose experiments with natural and spherical snow

de:
Resource Title: README.txt
    Size: 1024 bytes
    Format: text/plain
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.149/2020_aor_paper_willibald_jog/readme.txt
    Description:

de:
Resource Title: Angle of repose and 3D CT images
    Size: 4831838208 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.149/2020_aor_paper_willibald_jog
    Description: 5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow


en:
This data set includes material and results described in the related research article:
Bergfeld, B., van Herwijnen, A., Reuter, B., Bobillier, G., Dual, J., and Schweizer, J.: Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-360, in review, 2021.
 Context:
In order to study crack propagation in weak snowpack layers in great detail, we recorded Propagation Saw Test (PST) experiments using a high-speed camera and applied digital image correlation (DIC) to derive displacement and strain fields in the slab, weak layer, and substrate. We demonstrated the versatility and accuracy of the DIC method by showing measurements from three PST experiments, resulting in slab fracture, crack arrest and full propagation in the related publication.
 Content:
- Supplementary material for related publication
- Ilustrative videos showing crack propagation
- High-speed recordings of the Experiments
(the raw .cine files are available upon request)
Processed Data containing:
   - displacement, velocity and acceleration fields for the three PSTs
   - speed and touchdown dataset

en: snow-avalanche snow-mechanics experiment crack-propagation snow

en: Dataset for "Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography"

de:
Resource Title: Crack speed and Touchdown distance data
    Size: 1818413 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/be3f7643-88ab-456c-9554-aa068ac76bb7/resource/4d88c59e-44a7-4c9f-84b8-ffd6f499f05f/download/speeds_and_touchdown_datasets.zip
    Description: Data is stored as netcdf files as python/xarray Datasets.
Datasets are self-explaining and contain the necessary information and metadata.
Information on how to load the netCDF files (datasets) can be found at "http://xarray.pydata.org/en/stable/"

media_type: application/zip

de:
Resource Title: Supplementary material
    Size: 299124 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/be3f7643-88ab-456c-9554-aa068ac76bb7/resource/89d474b4-0965-4b96-ac8e-ff80e5aa0bd5/download/2020_bergfeld_crack_propagation_dynamics-supplement.pdf
    Description: # Supplementary material to the publication Bergfeld et al 2021
- description of the reverse crack
- additional snowpack parameters derived from the SMP measurements

de:
Resource Title: Videos
    Size: 17687958 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/be3f7643-88ab-456c-9554-aa068ac76bb7/resource/a2beba55-6766-4666-b03a-24673b2d1f8e/download/reduced_raw_videos.zip
    Description: The videos are .mp4 exports of the raw files (reduced 50 times in time)

de:
Resource Title: DIC Data
    Size: 28991029248 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.231/bergfeld_et_al_2021/
    Description: Data contains the displacement, strain, velocity and acceleration fields measured during the crack propagation process in our three example Propagation Saw Tests (PSTs). Data is stored as netcdf files as python/xarray Datasets. Datasets are self-explaining and contain the necessary metadata (field notes on the PSTs, camera settings, Digital Image Corrrelation parameters, preprocessing parameters).

Information on how to load the netCDF files (datasets) can be found at "http://xarray.pydata.org/en/stable/"

de:
Resource Title: Videos of crack propagation
    Size: 421948545 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/be3f7643-88ab-456c-9554-aa068ac76bb7/resource/08523c06-7691-4a95-ac18-9782e3fc0306/download/cracking_videos.zip
    Description: The videos show the cracking process in three example Propagation Saw Tests (flat field). The upper panel shows strain on top of the recorded movie frames. The second row shows vertical (*w*, blue line) and horizontal (*u*, orange line) displacement fields. The third and fourth row show the first and second time derivatives, namely the velocity and acceleration field.

crack-propagation

display_name: crack-propagation

experiment

display_name: experiment

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-mechanics

display_name: snow-mechanics


en:
This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., submitted).
* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded from Sharma et a., 2021.
* Static_input: Static topography input file of WRF (geo_em.d01).
* WRF_27km_NoahMP: Preprocessed WRF output of the simulation run with the WRF using the surface parameterization Noah-MP to reproduce the figures and results in the paper.
* WRF_27km_CRYOWRF: Preprocessed WRF output of the simulation run with CRYOWRF to reproduce the figures and results in the paper.
* Scripts_Reproducibility: Python scripts to reproduce the figures and results in the paper.
Note:
* To run some of the scripts Atmospheric Weather station data needs to be prepared using Gerber and Lehning, 2022.
* AWS data is not provided and needs to be downloaded from the corresponding databases. Please make sure to comply with the respective terms and conditions.

en: blowing-snow cryowrf surface-mass-balance reproducibility antarctica

en: Reproducibility dataset for CRYOWRF validation

de:
Resource Title: Scripts_Reproducibility_v2
    Size: 3051205 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/d05a9210-b303-45cc-8f2d-f4292951df2e/download/scripts_reproducibility_v2.zip
    Description: Python scripts to reproduces figures in Gerber et al., 2022, revised

de:
Resource Title: WRF_27km_NoahMP
    Size: 6657199309 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.347/WRF_27km_NoahMP.zip
    Description: Processed WRF output (run with Noah-MP land surface model) used for the analysis and the figures in the paper.

de:
Resource Title: Static_input
    Size: 5034051 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/aa57ffee-2ec1-4561-8673-cf3d03cedeaf/download/static_input.zip
    Description: Static input data from the WRF simulations (used in the python scripts in Scripts_Reproducibility).

de:
Resource Title: Scripts_Reproducibility_v1
    Size: 3227134 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/65815232-fd6a-4d1d-a280-a1ebc1c30375/download/scripts_reproducibility.zip
    Description: Python scripts to reproduces figures in Gerber et al., 2022, submitted.

de:
Resource Title: WRF_27km_CRYOWRF
    Size: 28991029248 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.347/WRF_27km_CRYOWRF.zip
    Description: Processed CRYOWRF output used for the analysis and the figures in the paper.

de:
Resource Title: Simulation_setup
    Size: 10669 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/79646165-0b4f-4495-b06a-dcd52d403019/download/simulation_setup.zip
    Description: Namelist and input files and information to run the WRF and CRYOWRF simulations used in the paper.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

cryowrf

display_name: cryowrf

reproducibility

display_name: reproducibility

surface-mass-balance

display_name: surface-mass-balance


en:
Data accompanying David Wagners' Dissertation.
Covers model results and various input from ALPINE3D and SNOWPACK adjusted for sea ice during MOSAiC.

en: snow-distribution drifting-and-blowing-snow surface-mass-balance arctic-sea-ice spatial-variability

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: MOSAIC Snow on Sea Ice Data

envi

de: Umwelt

de:
Resource Title: SNOWPACK setup for MOSAiC
    Size: 2386070 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.381/snowpack_jgr.zip
    Description:  The zip file contains both input and output data as well as the model configuration as used in the submitted manuscript "Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model".

The zip file contains 2 main folders:
* SNOWPACK_JGR_ALPHA1
* SNOWPACK_JGR_ALPHA3

In the SNOWPACK_JGR_ALPHA1 (reference "SP_R" simulation) and SNOWPACK_JGR_ALPHA3 (comparison "SP_C" scenario) folders you find the corresponding inputs, outputs and configuration as used in the paper, as well as the settings used - which only differ by the changed "SCHMIDT_DRIFT_FUDGE" value that is found in each SNOWPACK_JGR_ALPHA/setup/io.ini file. The input data is already linked accordingly in each io.ini file.

To reproduce the results, download and compile the source code for the adjusted SNOWPACK model first, which can be obtained from https://gitlabext.wsl.ch/snow-models/snowpack.git under the "snowpack_mosaic" branch. After installing, you can run the provided model setup uploaded here.

de:
Resource Title: ALPINE3D setup for MOSAiC
    Size: 9663676416 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.381/a3d_jgr.zip
    Description: The zip file contains a folder structure that must be kept as it is in order to run the simulation in the current configuration.
The setup contains both input and output data as well as the model configuration as used in the submitted manuscript
"Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model".

The zip file contains 3 main folders:
* base_setup_files
* a3d_jgr_alpha1
* a3d_jgr_alpha3

The "base_setup_files" contains all input files that are necessary to run the reference (R) simulation ("a3d_jgr_alpha1" folder) and the comparison "C" scenario ("a3d_jgr_alpha3") folder. In the a3d_jgr_alpha1 and a3d_jgr_alpha3 folders you find the corresponding outputs as used in the paper, as well as the settings used - which only differ by the changed "SCHMIDT_DRIFT_FUDGE" value that is found in each a3d_jgr_alphax/setup/io.ini file. The input data is already linked accordingly in each io.ini file.

a3d_jgr_alpha1 also contains the detailed snow profiles for each point along the transects.

To reproduce the results, download and compile the source code for the adjusted ALPINE3D model first, which can be obtained from https://gitlabext.wsl.ch/snow-models/alpine3d.git under the "alpine3d_mosaic" branch. After installing, you can run the provided model setup uploaded here.

arctic-sea-ice

display_name: arctic-sea-ice

drifting-and-blowing-snow

display_name: drifting-and-blowing-snow

snow-distribution

display_name: snow-distribution

spatial-variability

display_name: spatial-variability


en:
This dataset provides a Swiss-wide mosaic of night-time lights, derived from SDGSAT-1 GLI satellite imagery. The mosaic contains median radiance values based on observations from winter 2023/24. Poor-quality images (due to factors such as clouds, inconsistent geometric accuracy or excessive noise) have been manually excluded.
The potential of SDGSAT-1 night-time lights data for ecological applications is discussed in Weber et al. ([2025](https://doi.org/10.1002/rse2.70011)).
**Two mosaic types are available**
-PAN Radiance (10 m resolution) with three bands: Panchromatic Low (PL), Panchromatic High (PH), and High Dynamic Range (HDR)
-RGB Radiance (40 m resolution) with three bands: Red, Green, and Blue
**Additional layers for PAN/RGB include**
-Number of observations per pixel (OBS)
-Standard deviation of radiance values per pixel (SD)
**Additional information**
-Radiance values were calculate based on the calibration values (gain, bias) V3.0
-Radiance values were converted to nW/cm^2/sr
-Of the three panchromatic bands, HDR is recommended for use as it is the weighted average of 50% of the PL and PH data.
-Access and more information about SDGSAT-1 data: [sdgsat.ac.cn](https://www.sdgsat.ac.cn)
**Attribution**
This dataset is based on SDGSAT-1 imagery provided by the International Research Center of Big Data for Sustainable Development Goals (CBAS). It is acknowledged that the SDGSAT-1 data are kindly provided by CBAS for non-commercial use.
For questions or collaboration, contact: dominique.weber@wsl.ch

en: remote-sensing alan sdgsat-1 conservation ecology light-pollution

en: SDGSAT-1 Night-Time Lights Mosaic for Switzerland

de:
Resource Title: SDGSAT-1 RGB SD
    Size: 49250595 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/ba3f98b9-2a9d-49b4-aa44-17549fa73d5d/download/sdgsat1_gli_2023-2024_rgb_sd.tif
    Description: Standard deviation (SD) of all radiance values which were used to generate the RGB mosaic.

- GeoTIFF, 40 m resolution, EPSG:2056
- Band 1: SD of RED, Band 2: SD of GREEN, Band 3: SD of BLUE

de:
Resource Title: SDGSAT-1 PAN Radiance
    Size: 260859708 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/9c85891b-eac8-46b3-91d9-c0abf10ac640/download/sdgsat1_gli_2023-2024_pan_median_radiance.tif
    Description: Swiss-wide panchromatic night-time lights mosaic showing median radiance values from SDGSAT-1 GLI observations in winter 2023/2024.

- GeoTIFF, 10 m resolution, EPSG:2056
- Band 1: PL, Band 2: PH, Band 3: HDR

de:
Resource Title: SDGSAT-1 RGB Radiance
    Size: 26283647 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/b93e8d1e-8f29-40b9-a120-e363f9617bb7/download/sdgsat1_gli_2023-2024_rgb_median_radiance.tif
    Description: Swiss-wide RGB night-time lights mosaic showing median radiance values from SDGSAT-1 GLI observations in winter 2023/2024.

- GeoTIFF, 40 m resolution, EPSG:2056
- Band 1: RED, Band 2: GREEN, Band 3: BLUE

de:
Resource Title: SDGSAT-1 PAN SD
    Size: 728641887 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/72b94910-5a08-4d43-8023-8c8ddcaf8168/download/sdgsat1_gli_2023-2024_pan_sd.tif
    Description: Standard deviation (SD) of all radiance values which were used to generate the panchromatic mosaic.

- GeoTIFF, 10 m resolution, EPSG:2056
- Band 1: SD for PL, Band 2: SD for PH, Band 3: SD for HDR

de:
Resource Title: SDGSAT-1 PAN OBS
    Size: 33168454 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/8849653f-4efb-4f50-bb15-05542f229615/download/sdgsat1_gli_2023-2024_pan_nbr_obs.tif
    Description: Number of observations (OBS) which were used to generate the panchromatic mosaic.

- GeoTIFF, 10 m resolution, EPSG:2056
- OBS with identical values for each band

de:
Resource Title: SDGSAT-1 RGB OBS
    Size: 3384417 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/2782cc68-abae-40ef-82be-91c9167292cb/resource/96befb49-9ab3-419f-abc9-694ecd0c1257/download/sdgsat1_gli_2023-2024_rgb_nbr_obs.tif
    Description: Number of observations (OBS) which were used to generate the RGB mosaic.

- GeoTIFF, 40 m resolution, EPSG:2056
- OBS with identical values for each band

alan

display_name: alan

conservation

display_name: conservation

ecology

display_name: ecology

light-pollution

display_name: light-pollution

remote-sensing

display_name: remote-sensing


en:
This dataset contains datasets of sub-canopy meteorological variables acquired in coniferous forest stands in Switzerland (Davos, Engadine) and Finland (Sodankylä) during the winters 2018 and 2019. The data are presented and used in the publication:
Mazzotti, G., Essery, R., Webster, C., Malle, J.,  & Jonas T. (2020)
Process-level evaluation of a high-resolution forest snow model using observations from mobile multi-sensor platforms
Water Resources Research, under review
The above publication must be cited when using this dataset, and the user is referred to the publication for additional detail.
Data are grouped into 4 folders:
1) Point data includes wind speed data measured with stationary meteorological stations
2) Transect data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired with an automated calblecar system along within-stand transects
3) Grid data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired on 40x40m gridded plots using a handheld instrument, as well as snow depth data measured at the same grids.
Canopy structure information derived from hemispherical images is included for each all surveyed locations as well, and an overview of the field sites is provided.

en: snow-models forest-structure meteorological-data forest-snow snow-energy-balance

en: Distributed sub-canopy datasets from mobile multi-sensor platforms (CH / FIN, 2018-2019) for hyper-resolution forest snow model evaluation

envi

en: Environment

de:
Resource Title: Point data
    Size: 195016 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/05210541-6b04-487b-bf39-8817d31d5106/download/point_data.zip
    Description: Wind speed data acquired with the portable meteorological stations

de:
Resource Title: Grid data
    Size: 11193263 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/a5d954ef-a693-4e43-8e66-75ed21178a92/download/grid_data.zip
    Description: Canopy structure and snow depth data at the grids

de:
Resource Title: Transect data
    Size: 1360922505 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/f2dc7eef-dc3c-46f5-99ca-9c12ac154175/download/transect_data.zip
    Description: All meteorological and canopy structure data acquired at cable car transects

de:
Resource Title: Site overview
    Size: 203756 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0fb10027-6f49-4953-8683-76fc83ea1154/resource/b6151bb0-2568-4ae8-b91a-7e2d572e01b9/download/field_sites_overview.jpg
    Description: Overview of field sites

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

meteorological-data

display_name: meteorological-data

snow-energy-balance

display_name: snow-energy-balance

snow-models

display_name: snow-models


en:
This dataset contains all data, on which the following publication below is based.
**Paper Citation**:
Neff, F., Korner-Nievergelt, F., Rey, E., Albrecht, M., Bollmann, K., Cahenzli, F., Chittaro, Y., Gossner, M. M., Martínez-Núñez, C., Meier, E. S., Monnerat, C., Moretti, M., Roth, T., Herzog, F., Knop, E. 2022. Different roles of concurring climate and regional land-use changes in past 40 years' insect trends. Nature Communications, DOI: [10.1038/s41467-022-35223-3](https://doi.org/10.1038/s41467-022-35223-3)
Please cite this paper together with the citation for the datafile. Please also refer to this publication for details on the methods.
 Summary
Mean annual occupancy estimates for 390 insect species (215 butterflies [Papilionoidea, incl. Zygaenidae moths], 103 grasshoppers [Orthoptera], 72 dragonflies [Odonata]) for nine bioclimatic zones in Switzerland. Covers the years 1970-2020 (for butterflies) and 1980-2020 (for grasshoppers and dragonflies). Mean occupancy denotes the average number of 1 km x 1 km squares in a zone occupied by the focal species. Occupancy estimates stem from occupancy-detection models run with species records data hosted and curated by [info fauna](http://www.infofauna.ch). Data on the level of single MCMC iterations of model fitting are included (4000 sampling iterations). The nine bioclimatic zones were defined based on biogeographic regions and two elevation classes (square above or below 1000 m. asl)

en: elevation infospecies occupancy-models insects switzerland butterflies insect-decline biogeographical-region

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: Mean insect occupancy 1970–2020

format: CSV

biogeographical-region

display_name: biogeographical-region

butterflies

display_name: butterflies

elevation

display_name: elevation

infospecies

display_name: infospecies

insect-decline

display_name: insect-decline

insects

display_name: insects

occupancy-models

display_name: occupancy-models

switzerland

display_name: switzerland


en:
Silvopastoral systems are highly productive and combine long-term wood production with annual provision of forage for livestock. In the Swiss Jura Mountains these systems are a key component of the landscape. As in other cold biomes, climate change can potentially accelerate landscape change within these historically sustainable systems.
In order to anticipate the evolution of subalpine wooded pasture ecosystems under future climate and land-use changes, this project focused on the interplay between soil, vegetation and climate. It was aimed at providing experimental evidence for chief ecosystem processes, with emphasis on the quality of the ecosystem services provided. The main interest was placed on vegetation turf resistance to climate change along an unwooded – sparsely wooded - densely wooded pasture gradient (land-use intensity), where plant productivity, diversity and succession along with rates of carbon cycling and microbial activity provided measures of ecosystem functioning at both plot and landscape level.
Experimental transplantation of monolith soil turfs to lower altitudes allowed to simulate soil warming and reduced annual precipitation. In order to simulate a year-round warmer and drier climate the natural climate variation along an altitudinal gradient was used as a proxy. The aim was to simulate realistic climate change scenarios for the second half of the 21st century predicted by the IPCC report and downscaled for Switzerland providing regionalized interpolated projections integrating therein trends for temperature increase and precipitation decrease. By using permanent meteorological stations within the network of the Federal Office of Meteorology and Climatology (MeteoSwiss), we obtained high resolution regional data on the variation of mean annual temperature (MAT) and mean annual precipitation (MAP) in relation to altitude in the Swiss Jura Mountains. We observed a general increase of +0.5 K in MAT and a decrease of -20 % MAP for each 100 m decrease in altitude along the SE slope of the Swiss Jura Mountains. These relationships served for the selection of the transplantation sites such that in comparison to a control site at 1350 m a.s.l. (Combe des Amburnex, N 46°54’, E 6°23’) a +2 K MAT and -20 % MAP was achieved at 1010 m a.s.l. (Saint-George, N 46°52’, E 6°26’), a +4 K MAT and -40 % MAP at 570 m a.s.l., (Arboretum d’Aubonne, N 46°51’, E 6°37’), and a +5 K MAT and -50 % MAP at 395 m a.s.l. (Les Bois Chamblard, N 46°47’, E 6°41’). The two stations at 1010 m a.s.l. and 570 m a.s.l. corresponded to the IPCC scenario A1B for a moderate increase in greenhouse gas emissions and to scenario A2 for a high increase in greenhouse gas emissions, respectively. The station at 395 m a.s.l. was chosen to represent an extreme scenario with climate variables lying at the positive tail distribution of model predictions under the A2 scenario.
Soil cores were assembled into rectangular PVC boxes of 60  80 cm2 size and of 35 cm height. All mesocosms were dug down to surface level into previously prepared trenches in the ground thus preventing lateral heat exchange with the atmosphere. Since at each site the mesocosms were placed in a common garden with no light interception, mesocosms with turfs from the two wooded pastures were shaded from direct sun light to simulate the natural light conditions in the corresponding habitats. Each mesocosm was equipped with a drainage system and was connected to a water tank thus representing a zero potential lysimeter collecting soil solution and precipitation/snowmelt runoff. ECH2O EC-TM sensor probes coupled to Em50 data-loggers (Decagon Devices, Inc., USA) recorded soil temperature and volumetric water content in each mesocosm at the top-soil (0 to -3 cm) every minute and data were averaged over one hour intervals. Climate parameters at each transplantation site were monitored continuously throughout the experiment by means of automated weather stations (Sensor Scope Sàrl, Switzerland), measuring rain precipitation (non-heated tipping bucket gauges) and air temperature and humidity 2 m above the ground surface at one minute intervals.
A list of above- and belowground variables were measured to assess the resilience of biogeochemical processes, plant productivity, tree regeneration, and carbon sequestration for each respective land-use practice. Furthermore, the experimental data were used to improve on (parameterization) the existing spatially explicit, dynamic model WoodPaM and refine the modelʼs climatic and land-use variables so that different scenarios of climate change and land use change could be simulated. Natural and management induced disturbance patterns were incorporated into the model.
The data have been made available within the project CCES Mounted. The climate stations Sensorscope are still in use within the project CLIMARBRE (Wald und Klimawandel, WSL/BAFU).
References
1. Puissant, J., Cécillon, L., Mills, R.T.E., Robroek, B.J.M. Gavazov, K., De Danieli, S., Spiegelberger, T., Buttler, A., Brun, J.J. 2015. Seasonal influence of climate manipulation on microbial community structure and function in mountain soils. Soil Biology and Biochemistry 80: 296–305.
2. Mills, R., K. Gavazov, T. Spiegelberger, D. Johnson and A. Buttler 2014. Diminished soil functions occur under simulated climate change in a sup-alpine pasture, but heterotrophic temperature sensitivity indicates microbial resilience. Science of the Total Environment, vol. 473–474(0): 465-472.
3. Gavazov, K., Spiegelberger, T. and Buttler, A. 2014. Transplantation of subalpine wood-pasture turfs along a natural climatic gradient reveals lower resistance of unwooded pastures to climate change compared to wooded ones. Oecologia (174) : 1425-1435.
4. Peringer A., Siehoff S., Chételat J., Spiegelberger T., Buttler A. & Gillet F. 2013. Past and future landscape dynamics in pasture-woodlands of the Swiss Jura Mountains under climate change. Ecology and Society, 18, 3: 11. DOI: 10.5751/ES-05600-180311. [online] URL: http://www.ecologyandsociety.org/vol18/iss3/art11/
5. Gavazov, K. S., A. Peringer, A. Buttler, F. Gillet and T. Spiegelberger. 2013. Dynamics of Forage Production in Pasture-woodlands of the Swiss Jura Mountains under Projected Climate Change Scenarios. Ecology and Society 18 (1): 38. [online] URL: http://www.ecologyandsociety.org/vol18/iss1/art38/

en: transplantation-experiment climate-change biogeochemisty silvopastoral-systems soil

en: Biogeochemical data from a transplantation experiment of monolith soil turfs along an altitudinal gradient to simulate climate change scenarios

biogeochemisty

display_name: biogeochemisty

climate-change

display_name: climate-change

silvopastoral-systems

display_name: silvopastoral-systems

soil

display_name: soil

transplantation-experiment

display_name: transplantation-experiment


en: Included are three direct numerical simulations results of Stokes flow in three heterogeneous porous media obtained with OpenFoam simulations. In addition we include three data files that contain point-based extracted pores based on the post-processing as reported in the submitted paper "Local hydraulic resistance in heterogeneous porous media" in GRL.

en: heterogeneous-porous-media pore-shape-factors local-hydraulic-resistance permeability laminar-flow

en: Hydraulic resistance of pores in porous media using DNS of laminar flow

de:
Resource Title: Porous Media 1
    Size: 2133521698 bytes
    Format: text/x-vtk
    URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/d73518e6-e77a-49b9-b9f5-f0ff7f2b68d2/download/porousmedia1.vtk
    Description: Direct numerical simulations to obtain local pressure and velocity field.

de:
Resource Title: Results postprocessing
    Size: 9410122 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/dffdd55f-2faf-48f5-b512-54667b812196/download/results_pm123.zip
    Description: The results of the pore identification and integration. The results are stored as follows. Each individual iso-pressure patch (first two columns) has an identification number Np. There is more information stored than needed, such as which patches are neighbors, and what there positions are, however to assess the local hydraulic resistance you need the integrated pore identification number stored under 'tracks'. All patches belonging to the same pore have the same track number. We stored the local pressure value under 'p_i', integrated flux Q under 'Q_i', total surface area A under 'A_i' and distance dx under 'dx_int', circularity C under 'phi_i'. There are attributes stored with other identifiers such as _p and _l, they refer to the two closest neighboring patches at iso-pressure values p_i+dp and p_i-dp respectively. To obtain the exact results this data has to be preprocessed such as described in the supplementary materials of the paper.

de:
Resource Title: Porous Media 3
    Size: 987993407 bytes
    Format: text/x-vtk
    URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/0556e308-a93f-421a-b18e-29d4f2f8440f/download/porousmedia3.vtk
    Description: Direct numerical simulations to obtain local pressure and velocity field.

de:
Resource Title: Porous Media 2
    Size: 1981993868 bytes
    Format: text/x-vtk
    URL: https://www.envidat.ch/dataset/751f37f1-e38f-4393-a407-81272c406197/resource/a497def0-27b4-4517-9f80-fed465177d30/download/porousmedia2.vtk
    Description: Direct numerical simulations to obtain local pressure and velocity field.

heterogeneous-porous-media

display_name: heterogeneous-porous-media

laminar-flow

display_name: laminar-flow

local-hydraulic-resistance

display_name: local-hydraulic-resistance

permeability

display_name: permeability

pore-shape-factors

display_name: pore-shape-factors


en:
The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception.
This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES.

en: landscape-perception ecosystem-services landscape-ecology european-landscape-convention landscape

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: LABES 2 Indicators of the Swiss Landscape Monitoring Program

envi

de: Umwelt

de:
Resource Title: LABES_NEU_7_Leitungen
    Size: 13553015 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/9abf7e9d-3a4c-4fb1-89e9-9b46f886555e/download/labes_neu_7_leitungen.zip
    Description: This indicator shows the status of transmission lines in Switzerland and analyses the land cover on which these infrastructures are built. Transmission lines are assessed on the basis of TLM data. An extract from TLM_VERSORGUNGSBAUTE (OBJEKTART: Hochspannungsleitungen) is used to calculate the length consumption. In addition, the area statistics layer (NOLC04) is used to differentiate land types into different categories. The total length of transmission lines in Switzerland, in the different biogeographical regions and in the different cantons is calculated by overlay operations for year 2015 and year 2020 (see appendices for further details).

de:
Resource Title: LABES_14_Licht
    Size: 35479307 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/89793b05-e29e-4db1-acf6-44bea2b37965/download/labes_14_licht.zip
    Description: Light emissions in 500m resolution for entire Switzerland for the periode 2014-2020 using VIIRS-VCSML

de:
Resource Title: LABES_NEU_2_Abgeschiedenheit
    Size: 234154689 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/091a8634-f47c-44f0-89f2-122cecf3f12d/download/labes_neu_2_abgeschiedenheit.zip
    Description: Remoteness implies distance from a reference. In the case of an actual journey through a remote landscape, this distance can mean the physical distance from society or from signs of civilisation. In solitude, individuals face the elements of nature and thus move a step away from the backing of security provided by civilised society.
To calculate the remoteness of each grid cell per time period, the "Path Distance" ArcGIS tool is used. This calculates the cost between each grid cell and the settlement areas (pixels with >15 people) as the shortest trajectory. The surface distance is calculated from the horizontal and vertical distance (including the digital elevation model DHM25) and a cost grid, which assigns to each cell the costs incurred when passing through this area. As soon as the trajectory meets (or starts on) a road on which the settlement can be reached, the journey time by public transport or by private means of transport is calculated and the shorter of the two journey times is used.

de:
Resource Title: LABES_11_Gewaesser
    Size: 87721372 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/3989c431-0da1-4f0f-ae38-0052dd0d5b59/download/labes_11_gewaesser.zip
    Description: Indicator 11a describes the change in the length of watercourses in Switzerland between different points in time. The changes are systematically recorded on the basis of the changes in the national maps 1:25,000, later Vector25 and from about 2012 using TLM3D. With this evaluation protocol (2022), the sampling procedure of "Landschaft unter Druck" is used for the last time. It consists of 152 sampling rectangles in which the changes are recorded and extrapolated to the whole of Switzerland. From TLM3D (2020) onwards, the extrapolation is guaranteed for the entire area of Switzerland.

de:
Resource Title: README_LABES
    Size: 37075 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/57905ae4-1e6f-47e7-b2c9-bea903d73591/download/readme_labes2.pdf
    Description: This is the general readme for all LABES datasets.

de:
Resource Title: LABES_NEU_14_StaedtischesGruen
    Size: 13710568925 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/17cbc14c-0f93-4757-9bc7-1ea8b3a241e2/download/labes_neu_14_staedtischesgruen.zip
    Description: This indicator shows the state of vegetation within urban areas in Switzerland. On the one hand, the entire vegetation period is considered, taking into account all data from mid-May to mid-September. On the other hand, an additional analysis focuses on the spring period from mid-May to the end of June in order to observe only the growing season, which in the vast majority of cases is not yet affected by drought stress.
The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are required to cover the extent of Switzerland.

de:
Resource Title: LABES_9_Zerschneidung
    Size: 2873713695 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/49481125-656d-4f80-b637-5e269df54345/download/labes_9_zerschneidung.zip
    Description: Transport infrastructure such as highways, connecting roads and railroads, as well as settlement areas divide a landscape into individual areas separated from each other. To measure the degree of landscape fragmentation, the metric of "effective mesh size" (meff) was used (Jaeger 2000). It expresses the probability that there are no separating elements, such as traffic routes or settlements, between two randomly selected points. The more separating elements cut up the landscape, the lower this probability and the smaller the effective mesh size.

de:
Resource Title: LABES_1_Wald
    Size: 880214 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/ecac03e4-7b78-4cfd-b8dc-0f901784105f/download/labes_1_wald.zip
    Description: Indicator 1 quantitatively describes the forest area of Switzerland and its change. The required data on forest area are calculated using the area statistics (Swiss Federal Statistical Office, SFSO).

de:
Resource Title: LABES_2a_Nutzungsvielfalt_in_der_LW_Flaeche
    Size: 40224676 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/7d98e337-544b-4a43-bb68-e88b45aa38b6/download/labes_2a_nutzungsvielfalt_in_der_lw_flaeche.zip
    Description: This indicator measures the average number of different uses of agricultural land in Switzerland. It is thus a measure of the diversity of agricultural land. The agricultural structure survey is used to record the diversity of use.

de:
Resource Title: LABES_32_Anlagefrei
    Size: 245411882 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/fd301e2a-b4aa-40da-8268-bfb3f0f7fbd3/download/labes_32_anlagefrei.zip
    Description: For many people, "untouched landscape" is the very essence of nature. There are hardly any places left in Switzerland that have no human influence. But you can find regions where human influence is not so obvious. These are areas where no human buildings and installations can be seen. Areas free of facilities are therefore the most natural areas that can be found in Switzerland.

de:
Resource Title: LABES_NEU_9_Windanlagen
    Size: 31839422 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/8ad25619-6fd6-44eb-8356-128591a07d67/download/labes_neu_9_windanlagen.zip
    Description: This indicator shows the situation of wind energy in Switzerland. Firstly, we locate the current wind turbines and wind farms in Switzerland and compare their location with the wind speed map and the federal government's base map concerning the main wind potential areas. Secondly, we analyse the development of wind energy in Switzerland over the years and the efficiency of such structures.

de:
Resource Title: Labes_all_social_indicators_23_24_25_27_29_30_NEU16_NEU17_NEU18_NEU20_NEU22_NEU23
    Size: 7262265 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/63db81c2-01b8-4285-b602-5090673d9330/download/labes_all_social_indicators_23_24_25_27_29_30_neu16_neu17_neu18_neu20_neu22_neu23.zip
    Description: The social indicators for LABES were collected with a Swiss-wide representative survey. The first survey was conducted in 2011 (n = 2814 participants), the second in 2020 (n = 2090 participants). The “Auswertungsprotokolle” inform about the results of each indicator in 2020 and compared to the state of 2011.

Indicator list:

Indicator 23 Ortsbindung / place attachment

Indicator 24 Landschaftliche Schönheit / visual landscape quality or beauty

Indicator 25 Besonderheit (Eigenart und Vergangenheitsbezug)/ place identity

Indicator 27 Wahrgenommener Informationsgehalt der Landschaft: Komplexität, Entdeckungspotenzial, Kohärenz, Lesbarkeit / Kaplans’ preference matrix: complexity, mystery, coherence, legibility

Indicator 29 Faszination / soft fascination

Indicator 30 Authentizität /authenticity

Indicator Neu_16 Erholung und Landschaft (Erholungsindex, Zugang, Outdoorsport) / recreation and landscapes (recreationindex, access, outdoor sports)

Indicator Neu_17 Beobachtete Landschaftscharakterisierung / perceived landscape charachterization

Indicator Neu_18 Beobachtete Landschaftsveränderungen / perceived landscape changes

Indicator Neu_20 Wahrgenommene Landschaftsqualität in den Grundnutzungen oder Texturen (Wald, Landwirtschaft, Siedlungsflächen, Gewässer)/ Perceived landscape quality in the different land use areas (forest, agriculture, settlement areas, water bodies)

Indicator Neu_22 Gesamturteil zur wahrgenommenen Landschaftsqualität / overall satisfaction

Indicator Neu_23 Kulturelle Landschafswerte / cultural values and services of the landscape

de:
Resource Title: LABES_4_VerkehrFlaecheLaenge
    Size: 586793568 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/b803de8f-9e8f-4e88-87fa-7a5630a7b636/download/labes_4_verkehrflaechelaenge.zip
    Description: Indicator 4 describes the length and area of roads and railroads for the year 2020, as well as the changes between different points in time. The calculation of length and area consumption is based on the Topographic Landscape Model TLM and TLM3D of the Federal Office of Topography. Before 2014, changes were recorded in a sampling procedure based on landscape elements and extrapolated to subspaces and the whole of Switzerland. Since 2015, however, it has been possible to use data directly for the whole of Switzerland.

de:
Resource Title: LABES_36_Zersiedlung
    Size: 318716414 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/4d6c7084-30af-47c7-a5db-8c5fa24fc96a/download/labes_36_zersiedlung.zip
    Description: As a metric for characterising urban sprawl, the measure of urban sprawl (Z or weighted urban permeation WUP) was first propagated by Jaeger et al. (2008). We use this measure here. Urban sprawl is expressed in DSE/m2. The metric was refined within the framework of the National Research Programme 54 "Sustainable settlement and infrastructure development" in the project "Landscape sprawl Switzerland - Quantitative analysis 1935 to 2002 and implications for spatial planning" (Jaeger et al. 2008).

de:
Resource Title: LABES_31a_Gewaesserabschnitte_frei_begehbar
    Size: 650033460 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/5936cb4e-fdb5-42fe-abc8-a2e1b49819db/download/labes_31a_gewaesserabschnitte_frei_begehbar.zip
    Description: Indicator 31a describes the accessibility of water bodies in Switzerland. Water bodies are popular recreational areas. In order to be used by the population, therefore they should be freely accessible.

de:
Resource Title: LABES_17a_Soemmerungsweiden
    Size: 373970 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/58fe447d-badc-4f46-b5ae-4a27e3278ad5/download/labes_17a_soemmerungsweiden.zip
    Description: Summer pastures make up the majority of extensively used agricultural land in Switzerland. Summer pastures are located at altitudes that do not allow intensive use of the land, as is the case in the Central Plateau. Fertiliser use is either non-existent or limited. The indicator helps to measure changes in a basic agricultural use that is very important for the mountain landscape. It is a major determinant of landscape character and biodiversity.

de:
Resource Title: LABES_15_NaturuberlasseneFlache
    Size: 86402157 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/241e4703-b922-493d-92bb-dba59111c5f6/download/labes_15_naturuberlasseneflache.zip
    Description: Areas left to nature are areas in which natural processes can take place essentially undisturbed and direct human influences determine the (current) development only to a small extent. In such areas, the composition of animal and plant communities differs from that in the cultivated landscape. The areas left to nature in Switzerland can be divided into "wilderness areas" in the forest (forest wilderness), areas left to nature in the high mountains (alpine fallow) and areas along water bodies (floodplains). The areas may or may not be accessible. Of central importance is the intensity of human activities.

de:
Resource Title: LABES_2_Veraenderung_LW_Flaeche
    Size: 1823447 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/1b183a3b-12fb-4449-9f94-6dbdbb27c09c/download/labes_2_veraenderung_lw_flaeche.zip
    Description: Indicator 2 describes the quantitative change in Switzerland's agricultural area excluding summer pastures. It contributes to assessing the basic agricultural use, which is very important for the landscape. This has a significant impact on the character of the landscape and on biodiversity.

de:
Resource Title: LABES_8_Bauen_ausserhalb_Bauzone_neue_Berechnung
    Size: 552983317 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/6f63c401-4569-416a-835e-bbf92db5c446/download/labes_8_bauen_ausserhalb_bauzone_neue_berechnung.zip
    Description: Indicator 8 quantitatively describes the Euclidean distance from each point of a 12.5x12.5m grid outside the building zone to the nearest building. This is a revision based on a new calculation method.

de:
Resource Title: LABES_35_ErschliessungFussWanderwege
    Size: 612264376 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/0b03f50f-90db-43ab-9efb-20ab17c7645a/download/labes_35_erschliessungfusswanderwege.zip
    Description: Indicator 35 describes the accessibility with footpaths and hiking trails less than 2m wide. The basis for this is the Topographic Landscape Model (TLM and TLM3D) of the Federal Office of Topography. The data are given in km/km2 and are broken down by land use. The land use categories settlement, forest and open land are extracted from the area statistics of the Federal Statistical Office. Contrary to the initial calculation in 2015, we have abandoned the official attribute "hiking trail", as it has been shown that official "hiking trails" are also routed over longer distances along major roads. The current definition has to do solely with the width of the path (max. width 2m) and not with the official designation. This is closer to the quality of a trail than the official designation "hiking trail".

de:
Resource Title: LABES_7_Versiegelung
    Size: 83715075 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/c285f76d-d16e-49eb-a894-11d22b91ffe6/download/labes_7_versiegelung.zip
    Description: The degree of imperviousness indicates the sealed surface area as a percentage. The LABES indicator 7 is surveyed with the area statistics Switzerland. The survey interval of the areal statistics is 12 years for the first 3 surveys and 9 years for the fourth survey of the areal statistics; therefore, short-term developments in the change of the sealed surface cannot be recorded.

de:
Resource Title: LABES_3_Flaechenverbrauch_siedlung
    Size: 289613 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/50af6ee4-e060-449a-928b-eaf7d56584d6/download/labes_3_flaechenverbrauch_siedlung.zip
    Description: This indicator quantitatively describes land consumption for settlement and the change in Switzerland's settlement area based on data from Switzerland's land use statistics (Swiss Federal Statistical Office FSO).

de:
Resource Title: LABES_NEU_12_Landwirtschaftliche_Intensitaet
    Size: 3136976655 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/2a4fd5bc-9d68-4ba9-8386-2589ff7c280b/download/labes_neu_12_landwirtschaftliche_intensitaet.zip
    Description: This indicator shows the agricultural intensity in Switzerland using satellite data by calculating the NDVI values for each growing season and, in particular, observing the standard deviation of these values over the years. The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are needed to cover the extent of Switzerland.

ecosystem-services

display_name: ecosystem-services

european-landscape-convention

display_name: european-landscape-convention

landscape

display_name: landscape


en:
The dataset Hydro-CH2018 reservoirs provides estimates of current and future water supply, water demand, and storage volumes for 307 medium-sized catchments in Switzerland.
Water supply for current (1981-2010) and future (2070-2099) climate conditions was simulated using the hydrological model PREVAH. For modeling current water supply, observed meteorological time series were used as input, while simulated meteorological time series derived from 39 model chains of the CH2018 initiative were used as an input for simulating future climate conditions.
Water demand was estimated for six categories:
- 1) Drinking water (households and tourism),
- 2) industry (second and third sector),
- 3) artificial snow production,
- 4) agriculture (irrigation and livestock feeding),
- 5) ecology (residual flows), and
- 6) hydropower.
Future estimates consider changes in demand related to population growth and changes in the hydrological conditions.
Storage volumes are provided for natural lakes (storage capacities and usable volumes), artificial reservoirs, reservoirs for artificial snow production, and drinking reservoirs.
A detailed description of the simulation and estimation procedures can be found in
*   Brunner, M.I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., Stähli, M., 2019. Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes. Sci. Total Environ. 666, 1033–1047. https://doi.org/10.1016/j.scitotenv.2019.02.169.
This dataset contains the following information:
1.	Shapefile with the 307 medium-sized Swiss catchments.
2.     Textfiles with the water supply simulations for the control run and the 39 climate model chains (one file per chain) at daily resolution for the 307 catchments.
3.	Textfiles with the current and future demand estimates per category at monthly resolution for the 307 catchments.
4.	Textfiles with the storage volumes per category and catchment.

en: climate-change water-scarcity water-supply water-demand reservoirs

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Hydro-CH2018 reservoirs

envi

de: Umwelt

de:
Resource Title: Shapefile of 307 catchments in Switzerland
    Size: 100341 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/b30c2b9e-71f9-4798-b841-104a58d79667/download/shapefile_307_regions.zip
    Description: Shapefile of 307 catchments for which estimates of water supply, demand, and reservoir volumes are provided. The OBJECTID entry corresponds to the catchment ID which is used as a reference in the other datasets provided.

de:
Resource Title: Water demand (deprecated)
    Size: 920391 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/ab06042e-059a-40b0-b9da-101958dab5e7/download/demand.zip
    Description: Warning: please use the corrected version 2, since this file contains errors for certain categories such as Livestock, Industry or Houshold.

Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

de:
Resource Title: Water demand version 2 (corrected version)
    Size: 1007064 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/15462633-0157-4027-9f17-1e80ec4c1f92/download/demand.zip
    Description: Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

de:
Resource Title: Water supply
    Size: 1113489603 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/340da6dc-991a-4f2e-9ff1-75b9daea4dcb/download/supply.zip
    Description: Simulated discharge series for a reference period 1981-2010 and till the end of the century. Data are provided for 39 climate model chains and a control run based on the observed meteorology. Data are provided at daily resolution (mm/d).

de:
Resource Title: Reservoir volumes
    Size: 7781 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3fc83159-6e65-47f9-9fd8-dd60f749fda4/resource/d601bc26-6f1a-46a3-9ccd-603fca11920b/download/reservoirs.zip
    Description: Reservoir volume for the 307 medium-sized catchments for different storage categories: natural lakes, artificial reservoirs, reservoirs for artificial snow production, drinking water reservoirs, and usable volumes of natural lakes.  Unit: Mio m³. One column per catchment (see shapefile).

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply