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: SPOT6 Avalanche outlines 16 January 2019

en: natural-hazard satellite hazard-mapping snow avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow


$oid: OBSOLETE

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: Satellite avalanche mapping validation data

en: avalanche avalanche-hazard-mapping snow validation satellite

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: ZIP

avalanche

display_name: avalanche

avalanche-hazard-mapping

display_name: avalanche-hazard-mapping

validation

display_name: validation


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

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

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

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

en:
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:

en:
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

en:
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

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

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: Hymenoptera

en: hymenoptera forests urban arthropoda agricultural hautfluger

title_for_slug: hymenoptera

format: TXT

agricultural

display_name: agricultural

arthropoda

display_name: arthropoda

forests

display_name: forests

hautfluger

display_name: hautfluger

hymenoptera

display_name: hymenoptera

urban

display_name: urban


high-resolution-climate-data-for-europe

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: High resolution climate data for Europe

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

title_for_slug: high-resolution-climate-data-for-europe

en:
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.

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

en: meteorological-data-format csv research-data-management nead metadata-convention

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

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

en:
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:

media_type: text/plain

en:
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

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

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

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

en:
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

en:
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

en:
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.

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: Angle of repose experiments with natural and spherical snow

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

en:
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:

en:
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 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: Reproducibility dataset for CRYOWRF validation

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

envidat

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

en: EnviDat: the Environmental Data Portal

en:
Resource Title: 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).

media_type: application/zip

en:
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.

en:
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.

en:
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.

en:
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

en:
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.

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


mosaic-snow-on-sea-ice-data

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

en: MOSAIC Snow on Sea Ice Data

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

title_for_slug: mosaic-snow-on-sea-ice-data

envi

en: Environment

en:
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.

en:
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.

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

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

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:
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: LABES 2 Indicators of the Swiss Landscape Monitoring Program

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

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:
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.

en:
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

en:
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).

en:
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.

en:
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).

en:
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.

en:
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

en:
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.

en:
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.

en:
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.

en:
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.

en:
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).

en:
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.

en:
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.

en:
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.

en:
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.

en:
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".

en:
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.

en:
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).

en:
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.

en:
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.

en:
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.

en:
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.

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: Hydro-CH2018 reservoirs

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

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: 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).

en:
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.

en:
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.

en:
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).

en:
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.

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply


en: Climate data matching the scales at which organisms experience climatic conditions are often missing. Yet, such data on microclimatic conditions are required to better understand climate-change impacts on biodiversity and ecosystem functioning. Here we combine a national network of microclimate temperature measurements with a novel radiative transfer model to map monthly minimum, mean and maximum temperatures during the vegetation period at a 10 meter spatial resolution across Switzerland. The temperature measurements took place in 107 sampling plots distributed across different habitat types, with 62 plots in forests, 22 below trees outside forests, and 23 in open grasslands. In each plot we measured temperature in the topsoil (-5cm), as well as in the air at 5cm and 100cm height above ground. Spatial interpolation was achieved by using a hybrid approach based on linear mixed effects models with input from detailed radiation estimates that account for topographic and vegetation shading, as well as other predictor variables related to the macroclimate, topography and vegetation height. Our data reveals strong horizontal and vertical variability in microclimate temperature, particularly for maximum temperatures at 5 cm above the ground and within the topsoil. Compared to macroclimate conditions as measured by weather stations outside forests, diurnal air and topsoil temperature ranges inside forests were reduced by up to 3.0 and 7.8 °C, respectively, while below trees outside forests, e.g. in hedges and below solitary trees, this buffering effect was 1.8 and 7.2 °C. We also found that in open grasslands, maximum temperatures at 5 cm above ground are on average 3.4 °C warmer than that of macroclimate, suggesting that in such habitats heat exposure close to the ground is often underestimated when using macroclimatic data. After accounting for macroclimate effects, microclimate patterns were primarily driven by radiation, with particularly strong effects on maximum temperatures. Results from spatial block cross-validation revealed predictive accuracies as measured by RSME’s ranging from 1.18 to 3.43 °C, with minimum temperatures generally being predicted more accurately than maximum temperatures. The microclimate maps presented here enable a more biologically relevant perspective when analysing climate-species interactions, which is expected to lead to a better understanding of biotic and ecosystem responses to climate and land use change.

en: Monthly topsoil and near surface microclimate temperature data for Switzerland

en: climate-change radiation-transfer forest ecology microclimate biodiversity statistical-interpolation

en:
Resource Title: topsoil.zip
    Size: 8375186227 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/topsoil.zip
    Description: Predicted microclimate topsoil temperatures at 5 cm below ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en:
Resource Title: 100cm.zip
    Size: 8235599790 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/100cm.zip
    Description: Predicted microclimate air temperatures at 100 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en:
Resource Title: 5cm.zip
    Size: 8836895212 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.431/5cm.zip
    Description: Predicted microclimate air temperatures at 5 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

biodiversity

display_name: biodiversity

ecology

display_name: ecology

forest

display_name: forest

microclimate

display_name: microclimate

radiation-transfer

display_name: radiation-transfer

statistical-interpolation

display_name: statistical-interpolation


en: Although species range may be obtained using expert maps or modeling methods, expert data is often species-limited and statistical models need more technical expertise as well as many species observations. When unavailable, such information may be extracted from the Global Biodiversity Information facility (GBIF), the largest public data repository inventorying georeferenced species observations worldwide. However, retrieving GBIF records at large scale may be tedious if users are unaware of specific tools and functions that need to be employed. Here we present *gbif.range*, an R library that contains automated methods to generate species range maps from scratch using in-house ecoregions shapefiles and an easy-to-use GBIF download wrapper. Finally, this library also offers a set of additional very useful parameters and functions for large GBIF datasets (generate doi, extract GBIF taxonomy, records filtering...). [gbif.range R project](https://github.com/8Ginette8/gbif.range)

en: gbif.range - An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper

en: conservation taxonomy species-distribution landsca ecoregions hard-limit accepted-name flags r-package filtering large-scale gbif occurrence-records species-observations range-maps synonyms

en:
Resource Title: gbif.range R package version 0.2 (deprecated)
    Size: 75970559 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/802ecb6b-f4c6-49f8-b25d-093bf1ff9d7c/download/gbif.range_r_package.zip
    Description:

en:
Resource Title: wsl.gbif R package version 0.1 (deprecated)
    Size: 2704605 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/402acab8-6657-452e-bde3-53b1cbb59dcd/download/wsl.gbif-main-version.2022-10-25.zip
    Description: Test version, not to be used.

en:
Resource Title: gbif.range R package version 1.1 (current)
    Size: 307157973 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f5f4a8fd-7172-4db0-9b41-832a94ea9cab/resource/3290357e-2e2f-4a10-a254-4689b5f91705/download/gbif.range.zip
    Description:

en:
Resource Title: GitHub URL
    Size: 0
    Format: .range
    URL: https://github.com/8Ginette8/gbif.range
    Description:

accepted-name

display_name: accepted-name

conservation

display_name: conservation

ecoregions

display_name: ecoregions

filtering

display_name: filtering

flags

display_name: flags

gbif

display_name: gbif

hard-limit

display_name: hard-limit

landsca

display_name: landsca

large-scale

display_name: large-scale

occurrence-records

display_name: occurrence-records

r-package

display_name: r-package

range-maps

display_name: range-maps

species-distribution

display_name: species-distribution

species-observations

display_name: species-observations

synonyms

display_name: synonyms

taxonomy

display_name: taxonomy


en:
UAV-derived DSMs and orthoimages
Unmanned Aerial Vehicle  (UAV) surveys were conducted between 2015 and 2016 on the Sankt Annafirn, Findelen- and Griesgletscher, situated in the Swiss Alps. Three surveys at the Sankt Annafirn allowed for a full glacier coverage,  four  surveys at Griesgletscher allowed an almost full glacier coverage and seven surveys at Findelengletscher allowed for a partial coverage of the glacier tongue (see individual datasets for exact extent). For each survey, a high resolution orthoimage and a Digital Surface Model (DSM) was created.
 UAV surveys:
Prior flight, Ground Control Points (GCPs) were deployed on the glacier surface and measured with a differential GPS (Trimble R7 or Leica GPS 1200). They allowed precise georeferencing of the UAV-derived datasets. UAV flight plans were planned with the software *eMotion 2* and a SenseFly eBee was used as surveying platform. The images were then processed with the software Agisoft Photoscan Pro 1.1.6 .
The location and dates of each survey can be found in the table together with the number of flights performed (Nflights), the number of acquired images (Nimages), the number of GCPs set (NGCPs) and the surveyed area.
A folder for each dataset is available (see folder name in table), which contains:
- An orthoimage  *glacier_date_photoscan_oi_CH1903+_LV95_0.1m.tif*
- A Digital Surface Model  *glacier_date_photoscan_dsm_CH1903+_LV95_0.1m.tif*
- The Agisoft Photoscan automatic processing report   *glacier_date_photoscan_report.pdf*
where:
- *glacier* is the name of the surveyed glacier
- *date* is the date of the UAV image acquisition
- *photoscan* is the name of the photogrammetric software
- *oi* or *dsm* the type of dataset
- *CH1903+_LV95* is the coordinate system and datum of the dataset
- *0.1m* is the resolution of the dataset in meter
- *.tif* is the extention of the dataset

Details about the UAV surveys, the image processing and the accuracy of the UAV-derived products can be found in this publication below.
Paper Citation:
 - _Gindraux et al. 2017. Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’Imagery on Glaciers, Remote Sensing, 9, 186, 1-15,  [doi: 10.3390/rs9020186](https://doi.org/10.3390/rs9020186)._
The folder UAV_flight_paths.zip contains all UAV flights performed on the Sankt Annafirn, Findelengletscher and Griesgletscher. The flights were planned with the software eMotion2 and have the .afp extention.

en: UAV-derived Digital Surface Models and orthoimages for three alpine glaciers

en: orthophoto orthoimage griesgletscher uav alps dem findelengletscher drone sankt-annafirn gletscher glacier dsm

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: stanna_20150928
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150928.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 28th of September 2015.

en:
Resource Title: gries_20160815
    Size: 3942636963 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20160815.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 15th of August 2015.

en:
Resource Title: datasets_overview
    Size: 1681404 bytes
    Format: application/pdf
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/datasets_overview.pdf
    Description: This .pdf contains an orthoimage for each dataset as well as a Table which displays the number of flights made, image acquired, number of GCP set and the total area covered.

en:
Resource Title: gries_20150926
    Size: 3793037626 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20150926.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 26th of September 2015.

en:
Resource Title: findelen_20150721
    Size: 2465299515 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150721.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 21th of July 2015.

en:
Resource Title: UAV_flight_paths
    Size: 5116350 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/uav_flight_paths.zip
    Description: This folder contains all UAV flights paths that we created for the Sankt Annafirn, the Findelengletscher and Griesgletscher. They have been created with the software eMotion2, that was developped for the eBee platform from Sensefly.

en:
Resource Title: findelen_20160419
    Size: 2164463488 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160419.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 19th of April 2016.

en:
Resource Title: findelen_20150920
    Size: 3185830469 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150920.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 15th of September 2015.

en:
Resource Title: gries_20150803
    Size: 3678514763 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20150803.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 3rd of August 2015.

en:
Resource Title: Bulk Data Access
    Size: 0
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.48
    Description: Link to the S3 bucket where all the data resources can be downloaded in bulk

en:
Resource Title: stanna_20150415
    Size: 780690371 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150415.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of April 2015.

en:
Resource Title: findelen_20160922
    Size: 3002624298 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160922.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 22th of September 2016.

en:
Resource Title: findelen_20160702
    Size: 3135905280 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160702.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 2nd of July 2016.

en:
Resource Title: gries_20160913
    Size: 3592468237 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/gries_20160913.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 13th of September 2016.

en:
Resource Title: findelen_20160830
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20160830.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 30th of August 2016.

en:
Resource Title: stanna_20150715
    Size: 813185979 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/stanna_20150715.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of July 2015.

en:
Resource Title: findelen_20150409
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.48/uav-datasets-for-three-alpine-glaciers/findelen_20150409.zip
    Description: This .zip folder contains:

 - An orthoimage  (oi) of 0.1m resolution

- A Digital Surface Model  (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 09th of April 2015.

alps

display_name: alps

dem

display_name: dem

drone

display_name: drone

dsm

display_name: dsm

findelengletscher

display_name: findelengletscher

glacier

display_name: glacier

gletscher

display_name: gletscher

griesgletscher

display_name: griesgletscher

orthoimage

display_name: orthoimage

orthophoto

display_name: orthophoto

sankt-annafirn

display_name: sankt-annafirn

uav

display_name: uav


en: Raw data and R Code to do all the analysis performed for the paper "Advancing sustainable LED solutions to mitigate light-pollution impacts on arthropods". Including data for both flight-active insects and ground-dwelling arthropods combined (PT_TRF_all.csv), flight-active insects alone (ALANeX_PT_all_clean_control.csv) and ground-dwelling insects alone (ALANeX_TRF_all_clean_control.csv). For the NMDS analysis, there is a data set for the flight-active insects (ALANeX_PT_NMDS.csv) and the ground-dwelling arthropods (ALANeX_TRF_NMDS.csv). For the Morans I use the 'ALANeX_MoransI.csv' dataset.

en: outdoor-lighting alan artificial-lighting sustainability ecosystem-services

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: ALANeX_PT_NMDS.csv
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    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/92df1cc5-e8f7-4ed8-98b6-8f512edd3504/download/alanex_pt_nmds.csv
    Description: Raw data for flying insects NMDS analysis

format: CSV

media_type: text/csv

en:
Resource Title: Regression_TRF_Taxa.R
    Size: 12379 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/33788f24-dd2b-4137-b2f6-878ac0f98e88/download/regression_trf_taxa.r
    Description: R code of ground-dwelling arthropod analysis.

format: OCTET

en:
Resource Title: Regression_PT&TRF_AllGroups.R
    Size: 6609 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/6cede3a0-0f23-4660-b8b9-d7b4b2a6dd51/download/regression_pttrf_allgroups.r
    Description: R code of flight-active and ground-dwelling arthropod combined analysis.

en:
Resource Title: TRF_NMDS.R
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    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/78ab68b0-cb5a-4228-b165-0a9249833467/download/trf_nmds.r
    Description: R code for NMDS of ground-dwelling arthropods

en:
Resource Title: PT_TRF_all.csv
    Size: 40556 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/3aecf663-0494-4d8d-9a9b-70ee70584c33/download/pt_trf_all.csv
    Description: Raw data for flying insects and ground-dwelling arthropod combined analysis

en:
Resource Title: Regression_PT_Taxa.R
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    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/a24b15bc-039a-4611-9efc-3bacd43be0b9/download/regression_pt_taxa.r
    Description: R code of flight-active insects analysis.

en:
Resource Title: ALANeX_PT_all_clean_control.csv
    Size: 82055 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/aa8b6e52-c154-482c-a4db-2a9ff2ceaff2/download/alanex_pt_all_clean_control.csv
    Description: Raw data for flying insects analysis

en:
Resource Title: ALANeX_TRF_all_clean_control.csv
    Size: 62191 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/388d1352-f4ab-4c80-9439-b47ff1b2d84a/download/alanex_trf_all_clean_control.csv
    Description: Raw data for ground-dwelling arthropod analysis

en:
Resource Title: PERMANOVA_PT_NMDS.R
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    Format: application/octet-stream
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    Description: R code for PERMANOVA Analysis of flight-active insects.

en:
Resource Title: PT_NMDS.R
    Size: 5615 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/1b4bf7ce-faae-43da-a051-dce85fb4a35b/download/pt_nmds.r
    Description: R code for NMDS of flight-active insects

en:
Resource Title: PERMANOVA_TRF_NMDS.R
    Size: 880 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/6733f71f-1d72-4730-8bfe-e1158349c383/download/permanova_trf_nmds.r
    Description: R code for PERMANOVA Analysis of ground-dwelling arthropods.

en:
Resource Title: ALANeX_TRF_NMDS.csv
    Size: 50258 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/7aa3a91d-3ed9-477c-aa15-68c42f50392b/download/alanex_trf_nmds.csv
    Description: Raw data for ground-dwelling arthropod NMDS analysis

en:
Resource Title: ALANeX_MoransI.csv
    Size: 70008 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f85c7171-2635-43ba-81f5-6b01b56500d2/resource/352f7a23-41a2-4160-b5da-000ca56511bb/download/alanex_moransi.csv
    Description: Raw data Moran's I test

alan

display_name: alan

artificial-lighting

display_name: artificial-lighting

ecosystem-services

display_name: ecosystem-services

outdoor-lighting

display_name: outdoor-lighting

sustainability

display_name: sustainability


en:
Data associated to the publication "Rapid field-based detection of a threatened and elusive species with environmental DNA and CRISPR-Dx"
-br-
 Authors:
-br-
Flurin Leugger, Martina Lüthi, Michel Schmidlin, Zacharias Kontarakis and Loïc Pellissier
-br-
 Contact:
-br-
flurinleugger@gmail.com
loic.pellissier@usys.ethz.ch
-br-
 Project description:
-br-
We collected eDNA samples in the Conkouati-Douli National Park in the Republic of Congo in 2023 in collaboration with Beauval Nature and HELP Congo. We analyzed the samples on site in the national park using CRISPR-Dx assays to detect the African manatee (*Trichechus senegalensis*). Additionally, we transported the remaining samples (buffer) to Switzerland and used a high-sensitivity protocol with CRISPR-Dx assays and a qPCR assay to verify the field-based detections. The qPCR of Hunter et al. (2018) detects the genus manatee (Trichechus). See publication for more details (doi will be added after publication).
-br-
 Folders:
-br-
 lateral_flow_tests_images\:
-br-
Images of the lateral flow tests used to analyze the eDNA extracts in the national park. File names correspond to the site names. At each site, we took two filter replicates. We ran 8 PCRs per filter/extract and pooled two PCRs together, resulting in 4 CRISPR-Dx assays per extract. The EVE number on top of the tests indicates the environmental extract number we use to track the extracts in our data base. It corresponds to the extract_number_field_based in the metadata and data folder. The negative extraction control with the strongest "band" was placed right to the eDNA extract on each image (labelled hand written with NC x.y).
-br-
 metadata\:
-br-
File containing overview of site names and extract number (field-based or lab-based extraction). The extract_number_field_based corresponds to the identically called column in CRISPR_field_based_classifications.csv file, as the extract_number_lab_based to the column in the file CRISPR_lab_based_classifications.csv file and the qPCR_Cp_2nd_derivative.csv file. The file includes the GPS coordinates of the sampling location (transect start point).
-br-
 data\:
-br-
Folder containing the files with Cp values (qPCR) and the CRISPR-Dx classifications. CRISPR_field_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection) for the African manatee (Trichechus senegalensis).
CRISPR_lab_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection).
qPCR_Cp_2nd_derivative.csv file contains the Cp value of the 8 replicates of each extract.

en: Field-based eDNA analysis to detect the threatened and elusive African manatee

en: crispr-cas field-based-protocol african-manatee crispr-dx threatened-species environmental-dna qpcr biodiversity-monitoring edna

en:
Resource Title: Readme.txt
    Size: 2387 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/ad00caf8-bff2-4b98-be8b-122329cee39e/download/readme.txt
    Description: Description of project and folders and files

en:
Resource Title: metadata.zip
    Size: 10066 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/8501e9b9-e55f-49de-86ac-0754f15579dd/download/metadata.zip
    Description: File containing overview of site names and extract number (field-based or lab-based extraction). The extract_number_field_based corresponds to the identically called column in CRISPR_field_based_classifications.csv file in the data folder, as the extract_number_lab_based to the column in the file CRISPR_lab_based_classifications.csv file and the qPCR_Cp_2nd_derivative.csv file (also in the data folder). The file includes the GPS coordinates of the sampling location (transect start point).

en:
Resource Title: lateral_flow_tests_images.zip
    Size: 7430379 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/196f5458-7ced-49e3-a693-357ee2816f5a/download/lateral_flow_tests_images.zip
    Description: Images of the lateral flow tests used to analyze the eDNA extracts in the national park. File names correspond to the site names. At each site, we took two filter replicates. We ran 8 PCRs per filter/extract and pooled two PCRs together, resulting in 4 CRISPR-Dx assays per extract. The EVE number on top of the tests indicates the environmental extract number we use to track the extracts in our data base. It corresponds to the extract_number_field_based in the metadata and data folder. The negative extraction control with the strongest "band" was placed right to the eDNA extract on each image (labelled hand written with NC x.y).

en:
Resource Title: data.zip
    Size: 2126 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4a99830f-a254-4179-a490-d7ca76c5ed56/resource/0b379b83-6480-4aca-b189-ff2435deb297/download/data.zip
    Description: Folder containing the data files with Cp values (qPCR) and the CRISPR-Dx classifications. CRISPR_field_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection) for the African manatee (Trichechus senegalensis).
CRISPR_lab_based_classifications.csv file contains the classifications per pool per extract (0: no detection, 1: detection).
qPCR_Cp_2nd_derivative.csv file contains the Cp value of the 8 replicates of each extract.

african-manatee

display_name: african-manatee

biodiversity-monitoring

display_name: biodiversity-monitoring

crispr-cas

display_name: crispr-cas

crispr-dx

display_name: crispr-dx

edna

display_name: edna

environmental-dna

display_name: environmental-dna

field-based-protocol

display_name: field-based-protocol

qpcr

display_name: qpcr

threatened-species

display_name: threatened-species


en:
This repository contains extensive data for the European Alps:
   - Observations of ~3,500 plant species
   - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
   - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
   - Regional maps of barriers to migration and water bodies at 100-m resolution
   - Sampling effort, distance to roads and cities predictors at 100-m resolution
   - Present and future abundances over the study region at 1-km resolution (~2,000 species)
   - Present and future multifaceted and uniqueness of the European Alps' Flora at  1-km resolution
   - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
   - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
   - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps

en: conservation plants european-alps beta-diversity land-use-change phylogenetic-diversity zonation global-change migclim functional-diversity taxonomic-diversity species-distribution-models

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Data Access
    Size: 85899345920 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.371%2F
    Description:

en:
Resource Title: Updated SDM outputs
    Size: 10242439935 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7b947fcf-73a0-46a7-be03-804797c9c3d7/resource/4838348a-6050-4774-83f1-cab5efe7b244/download/sdm_outputs_updated.zip
    Description: Refined scenarios of plants distribution in the European Alps

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

plants

display_name: plants

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation


en: The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.

en: Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century

en: climate-change-impact cryosphere uncertainty natural-climate-variability rain-on-snow snow-water-equivalent

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty


en:
This dataset consist of simulated hourly power production from an Enercon E82 Turbine at 100 m hub-height. It describes the hourly power output a 1MW turbine would produce in each 0.01° grid cell for the years 2016 and 2017.
100 m wind speed data was taken from the COSMO-1 model (Consortium for Small-scale Modeling 2017), which has a 0.01° horizontal resolution. The domain covered is the whole of Switzerland, with the exclusion of lakes. As such, the number of 0.01◦ pixels within Switzerland amounts to 48657.
Conversion to power output was done based on the power curve of the Enercon E82 Turbine. As power output is lower at altitude due to lower air density, we corrected for this effect as described in (Kruyt et al. 2017).
Please cite the following paper in connection with the dataset:
Paper Citation:
 - _Bert Kruyt, Jérôme Dujardin, and Michael Lehning: Improvement of wind power assessment in complex terrain: The case of COSMO-1 in the Swiss Alps, Front. Energy Res., [doi:10.3389/fenrg.2018.00102] (https://doi.org/10.3389/fenrg.2018.00102)_

en: Dataset on Cosmo-1 based Energy Potential in Swiss Alps

en:
Resource Title: Description
    Size: 42299 bytes
    Format: application/pdf
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/envidat_cosmo-desc.pdf
    Description: Full Data Description

en:
Resource Title: Data Source
    Size: 3144305336 bytes
    Format: application/x-r-data
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/unit_pow_16_17.rdata
    Description: Hourly Gridded Wind Power Time Series

en:
Resource Title: Coordinates of Grid Points
    Size: 255151 bytes
    Format: application/x-rds
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.51/dataset-on-wind-fields-and-energy-potential-in-swiss-alps/gridch.rds
    Description: Coordinates of Grid Points

mountain-wind-potential

display_name: mountain-wind-potential

topography

display_name: topography

wind-energy

display_name: wind-energy


en:
Environmental pressures on species can cascade within food webs and even extend beyond individual ecosystems to interconnected systems at large spatial scales. To facilitate the exploration of these dynamics, we constructed trophiCH: a data-based national trophic meta-food web (henceforth the metaweb), that includes vertebrates, invertebrates, and vascular plants within Switzerland's national boundaries, and drawing from literature published between 1862 and 2024. Our comprehensive dataset catalogues 1,112,073 trophic interactions involving 23,151 species and 125 feeding guilds (e.g., detritivores, fungivores, etc). Interactions were primarily documented at the species level from the literature. Additional species-level interactions were inferred by resolving coarser taxonomic records (e.g., using “species A feeds on genus B” to infer interactions between species A and species within genus B) using taxonomic and habitat co-occurrence information.
We provide seven datasets: 1) the metaweb, 2) the taxa checklist, 3) the data source meta-dataset, 4) the list of generalist basal and predator families and polylectic species with citations and 5) a dataset with citations for the inferences of missing predators, 6) a dataset with citations for the parallel inference of diets from similar species and 7) a list of other existing metawebs. The empirical dataset is 00_empirical_metaweb.csv. To reproduce the final metaweb (01_final_metaweb.csv), start the R Project file: trophich.Rproj. We provide five scripts, accompanying functions, and the raw data required to run these scripts to reproduce the taxonomic expansion and validation of the datasets. In the first script (01_inferring_interactions.R), we infer interactions using genus and family level interactions and for basal feeding groups (see Methods: Taxonomic expansion). In the second script (02_inferring_interactions_special_cases.R), we infer further interactions for a few special cases with detailed explanations. In the third script (03_metaweb_comparisons.Rmd), we provide the statistical comparisons between our metaweb and other empirical metawebs as an R Markdown document. We additionally provide a a Python Jupyter Notebook document, outlining the error validation of the data extraction process (04_error_validation.ipynb and an accompanying .html file). Finally, we provide a script to reproduce figure 1 from the associated data paper (05_metaweb_summary_figure_1.R).
This is a first step towards a comprehensive food web for Switzerland, but data gaps remain (see Reji Chacko et al 2024, Fig.1C). We encourage addition of new datasets to this metaweb and welcome any collaborations to contruibute to future versions of this dataset. Please contact: merin.rejichacko@gmail.com.

en: trophiCH v1 - a food web for Switzerland

en: metaweb food-webs switzerland trophic-networks vascular-plants vertebrates invertebarates

en:
Resource Title: trophich 0.1
    Size: 34142639 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/4f9547a1-3018-46f1-a399-09d65a3223f3/resource/fe802436-f927-4243-b199-0829a3e0d21b/download/trophich.zip
    Description: Deprecated version from before the first round of review at Scientific Data

en:
Resource Title: trophiCH 1.0
    Size: 33123041 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/4f9547a1-3018-46f1-a399-09d65a3223f3/resource/6d7f57cc-a98f-4513-9c65-c0230a15bba7/download/trophich.zip
    Description: Most current version of the dataset, after revision round 1 at Scientific Data.

food-webs

display_name: food-webs

invertebarates

display_name: invertebarates

metaweb

display_name: metaweb

switzerland

display_name: switzerland

trophic-networks

display_name: trophic-networks

vascular-plants

display_name: vascular-plants

vertebrates

display_name: vertebrates