en: The dataset contains seven environmental layers (average annual temperature, aridity [annual precipitation divided by annual potential evapotranspiration], frost change frequency, precipitation in the driest quarter, mean diurnal temperature range, and precipitation seasonality) modified from CHELSA (https://chelsa-climate.org/) and three soil layers (soil organic matter content, pH water, and clay content) modified from SoilGrids (https://soilgrids.org/).

en: precipitation soil ground-temperature frost-change-velocity aridity sdms

envidat

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

de: EnviDat

en: Environmental layers for SDM simulations (GDPlants)

de:
Resource Title: ORCDRC_M_sl1_1km_ll_tranformed.tif
    Size: 380997791 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/561e7b40-585a-4b0c-afe3-930791ea37ec/download/orcdrc_m_sl1_1km_ll_tranformed.tif
    Description: Soil organic carbon content modified from SoilGrids

de:
Resource Title: CHELSA_bio10_01_preped.tif
    Size: 265375925 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/eeb36514-fe36-4b7f-aae3-5ff64984b2de/download/chelsa_bio10_01_preped.tif
    Description: Mean annual temperature modified from CHELSA

de:
Resource Title: CLYPPT_M_sl1_1km_ll_preped.tif
    Size: 200847715 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/4fd1317c-6869-4ada-8e7b-f10f7d154ca8/download/clyppt_m_sl1_1km_ll_preped.tif
    Description: Soil clay content modified from SoilGrids

de:
Resource Title: CHELSA_bio10_17_tranformed.tif
    Size: 295725568 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/b896d859-ff77-46d4-9e8f-dc87f9b1e88f/download/chelsa_bio10_17_tranformed.tif
    Description: Precipitation of driest quarter modified from CHELSA

de:
Resource Title: CHELSA_bio10_15_preped.tif
    Size: 235427681 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/d37b7265-9729-48da-9543-30db55d6a72d/download/chelsa_bio10_15_preped.tif
    Description: Precipitation seasonality from CHELSA

de:
Resource Title: PHIHOX_M_sl1_1km_ll_preped.tif
    Size: 187284692 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/4381dafd-effe-4a3b-8498-ccb3f0eb95c4/download/phihox_m_sl1_1km_ll_preped.tif
    Description: Soil pH modified from SoilGrids

de:
Resource Title: CHELSA_FCF_1979-2013_V1.2_preped.tif
    Size: 142268147 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/473d3b79-6926-4409-b047-6c418c1eb450/download/chelsa_fcf_1979-2013_v1.2_preped.tif
    Description: Frost change frequency modified from CHELSA

de:
Resource Title: CHELSA_bio10_02_preped.tif
    Size: 170864899 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/09b74779-e536-46fd-9b22-cd02e121f9b6/download/chelsa_bio10_02_preped.tif
    Description: Mean diurnal range modified from CHELSA

de:
Resource Title: aridity_transformed.tif
    Size: 1004802161 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/332b3970-b592-4a5f-a24d-5d4ff6ede9cf/download/aridity_tranformed.tif
    Description:

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

precipitation

display_name: precipitation

sdms

display_name: sdms

soil

display_name: soil


$oid: OBSOLETE

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Vordemwald in Switzerland where one station is located within a natural mixed forest stand (VOB) with European silver fir (_Abies alba_; 110 yrs) and oak trees (_Quercus sp._; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Vordemwald is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Vordemwald, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards

en: climate-change precipitation meteorology par long-term wind-speed relative-humidity meteo swiss-forest-lab temperature

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.

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

type: dataset

key: guid

value: Envidat Harvester

key: uri

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: Forest station data (VOB)
    Size: 10297606 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/b5dd1154-f59a-4e56-9aba-1e59816a339a/download/vobforest.csv
    Description: Data file.

format: CSV

media_type: text/csv

de:
Resource Title: Data plot of the forest station (VOB)
    Size: 223740 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/3ee24b21-a633-4b2d-a414-fa6a0c627b26/download/vobplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

format: PDF

media_type: application/pdf

de:
Resource Title: Field station data (VOF)
    Size: 11391033 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/0bcc97be-7e6f-4b06-8f3f-fc382a4cb8a9/download/voffield.csv
    Description: Data file.

de:
Resource Title: Site aerial photo (Vordemwald)
    Size: 8630219 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/ef53ba50-d060-46f8-ba76-89cbcfac802d/download/vofront.jpg
    Description: Site aerial photo from both Vordemwald stations. Source: Google. 2016. Site aerial photo from both Vordemwald stations. Retrieved November 11, 2016, from https://www.google.ch/maps

de:
Resource Title: Site photo of the field station (VOF)
    Size: 406703 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/f1dd671f-0ade-456a-a26b-7bbebdc7a57c/download/vof.jpg
    Description: Site photo of the field stationfrom the side.

de:
Resource Title: Site photo of the forest station (VOB)
    Size: 9782243 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/cf264689-c80d-4392-9e6f-f2742d617c58/download/vob.jpg
    Description: Site photo of the forest station from the side.

de:
Resource Title: Data plot of the field station (VOF)
    Size: 297851 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/1913b44e-2466-4f42-8e77-ea905b1a742e/resource/ab70cc81-aaac-4f05-8c86-38cca60db803/download/vofplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.
Notes:
* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).
* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.
* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.
* By walking along fixed corridors, disturbance of the snow was limited.

en: terrestiral-laserscanning gridded-data depth-of-snowfall terrestrial-laser-scans antarctica

envidat

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

de: EnviDat

en: Terrestrial laser scans on Hammarryggen Ice Rise, Dronning Maud Land, East Antarctica

de:
Resource Title: Scan from 11 January 2019, 10 cm resolution, version 2
    Size: 21786633 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/11ab1fc7-2eba-4506-823c-c06120c538e2/download/20190111_combi_2.5d_0.1m.zip
    Description: Scan from 11 January 2019, 10 cm resolution, version 2

format: ZIP

media_type: application/zip

de:
Resource Title: Scan from 21 December 2018, 10 cm resolution
    Size: 20747718 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/24c7f00b-bffd-4ecd-b1cc-b8595cf9cabc/download/20181221_combi_2.5d_0.1m.zip
    Description: Scan from 21 December 2018, 10 cm resolution

de:
Resource Title: Scan from 4 January 2019, 10 cm resolution
    Size: 31421084 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/85476f78-5964-4d09-9b39-bf6b44cf3ea2/download/20190104_combi_2.5d_0.1m.zip
    Description: Scan from 4 January 2019, 10 cm resolution

de:
Resource Title: Scan from 2 January 2019, 1 mm resolution
    Size: 358665175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/cce4e4f2-713a-4ced-8276-994c3c6d1fca/download/20190102_combi_2.5d_0.001m.zip
    Description: Scan from 2 January 2019, 1 mm resolution

de:
Resource Title: Scan from 27 December 2018, 1 mm resolution
    Size: 324407426 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/713d2875-611c-483f-af9c-2756125153d7/download/20181227_combi_2.5d_0.001m.zip
    Description: Scan from 27 December 2018, 1 mm resolution

de:
Resource Title: Scan from 2 January 2019, 10 cm resolution
    Size: 33632491 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/31da45fa-770b-44ee-8121-cdbccffa9f03/download/20190102_combi_2.5d_0.1m.zip
    Description: Scan from 2 January 2019, 10 cm resolution

de:
Resource Title: Deprecated: Scan from 11 January 2019, 10 cm resolution, version 1
    Size: 33017091 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/ca01d845-b9c9-4ff4-9721-e52096546a03/download/20190111_combi_2.5d_0.1m.zip
    Description: This resource is deprecated. It contains erroneous data.

de:
Resource Title: Scan from 21 December 2018, 1 mm resolution
    Size: 271646425 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/0bf20a3a-f462-4313-9393-dcba4c207bfe/download/20181221_combi_2.5d_0.001m.zip
    Description: Scan from 21 December 2018, 1 mm resolution

de:
Resource Title: Scan from 11 January 2019, 1 mm resolution
    Size: 384645137 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/2abd22ce-9aa5-48d3-85d6-16fce30e4dac/download/20190111_combi_2.5d_0.001m.zip
    Description: Scan from 11 January 2019, 1 mm resolution

de:
Resource Title: Scan from 4 January 2019, 1 mm resolution
    Size: 371000882 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/f6bacba5-c126-496c-aae8-0cea0a7db3c1/download/20190104_combi_2.5d_0.001m.zip
    Description: Scan from 4 January 2019, 1 mm resolution

de:
Resource Title: Scan from 27 December 2018, 10 cm resolution
    Size: 26161402 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/3493a5ce-398d-482c-942f-2ebd558acd10/download/20181227_combi_2.5d_0.1m.zip
    Description: Scan from 27 December 2018, 10 cm resolution

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans


en:
This dataset contains the raw environmental DNA data associated with the publication *Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord* in the journal Polar Biology (2023).
 Methods

**Sampling**
We sampled the Lilliehöök fjord on the west coast of Spitsbergen (Svalbard, Norway) over 3 days from 3 to 5 of August 2021. Samples were taken from the glacier front up to the fjord mouth of the Krossfjorden system, around 30 km long, after the Lilliehöök fjord merged with the mouth of Möller fjord. The fjord’s maximum depth has been recorded at 373 m (Svendsen et al. 2002) and has no sill at its entrance, thereby facilitating water exchange with the open ocean of the West Spitsbergen Current. We used a research vessel to sample 5 sites for a total of 15 samples, sampling 3 depths per site (3-m, chlorophyll a maximum and 85-m, unless sea floor was shallower). Shallow and intermediate samples between 3-m and 12-m represent ~35-L of water filtered in-situ using long tubing and a peristaltic pump, and all other deeper samples were taken from a total of 3 Niskin bottles (General Oceanics), representing 22-L of water sampled per sample. Water was filtered through a VigiDNA filtration capsule (SPYGEN) with a 0.20-µm pore size using an Athena peristaltic pump (Proactive Environmental Products, Bradenton, Florida) with a flow rate of ~1-L/min. Each sample was handled with single use tubing and gloves.
**Molecular**
To perform the amplification, we used two sets of primers: teleo (forward: ACACCGCCCGTCACTCT, reverse: CTTCCGGTACACTTACCATG; Valentini et al. 2016) and the universal eukaryotic 1389F/1510R primer pair, amplifying the V9-18S rDNA gene (Amaral-Zettler et al. 2009) (forward: TTGTACACACCGCCC, reverse: CCTTCYGCAGGTTCACCTAC).
 Data content:
+ Metabarcoding data: This zip file contains the 2 sequencing libraries filtered to only retain the samples used in the present study.
+ Code, data and figure: This zip file contains all data and code to reproduce the figures and the analysis in the study, with an associated README explaining the content of each folder.
 Additional informations
For more details, please see the Methods in the associated publication: DOI: 10.1007/s00300-023-03187-9.

en: biodiversity plankton dna-metabarcoding fish environmental-dna fjord marine

envidat

de: EnviDat: das Umwelt-Datenportal

en: Data: Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord

envi

de: Umwelt

de:
Resource Title: Metabarcoding data
    Size: 621901827 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2a7f749a-430f-443b-bbac-073b166c2361/resource/1e6638c8-fb7e-4049-8fee-effa8d64177b/download/metabarcoding-data.zip
    Description: Raw metabarcoding data for both primers (teleo and 18S) and corresponding file to perform the demultiplexing and primer trimming

de:
Resource Title: Code, data and figures
    Size: 63570143 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2a7f749a-430f-443b-bbac-073b166c2361/resource/ce6111f5-09b4-4d7a-8a5d-21529c2da40b/download/code_data_figures.zip
    Description: Here there are all the data and code to reproduce the figures and analysis presented in the paper, with a README.md file

biodiversity

display_name: biodiversity

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

fish

display_name: fish

fjord

display_name: fjord

marine

display_name: marine

plankton

display_name: plankton


en: We conducted an experimental rockfall campaign on a forested slope with deadwood and on with the windthrown area cleared in Schiers (CH). Two different rock categories were used: natural rocks with masses between 30 and 85 kg and artificial EOTA-concrete rocks with rock masses ranging from 45 kg up to 3200 kg. In contrast to the intended research article publication, also all information about the experimental runs of the smaller rock masses are available. Besides the geometries of those rocks, the data set contains three LiDAR point clouds, orthophotos, the release point (and release line used in RAMMS), the retrieved single tree positions with DBH, and energy absorption threshold, video footage, and all reconstructed trajectories.

en: lying-deadwood stonenode protective-effect dissipated-energy eota sensor-technology breaking-energy forest windthrow rockfall rockfall-experiments

envidat

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

en: Shape still matters - experimental quantification of deadwood effects on rockfall dynamics

de:
Resource Title: StoneNodeInSituSensorFigures.zip
    Size: 4848608 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/eeb485bf-8d80-42a6-aea9-3ad0bb79cf7c/download/stonenodeinsitusensorfigures.zip
    Description: Figures of the rotational and gyroscopic StoneNodeData and where available the impact categories.

de:
Resource Title: VideoArchive_HD_Resolution.zip (all videos)
    Size: 42949672960 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.359/VideoArchive_HD_Resolution.zip
    Description: This archive contains all recorded runs from RF32, RF33, RF35, RF37 and RF44 in HD quality (roughly 1900x1200 pixels). The file size is, therefore rather big (>40GB). Single videos can be downloaded in the "individual video directory"

de:
Resource Title: StoneNodeInSituSensorData.zip
    Size: 1738448396 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/5626b02d-7151-4707-bb8c-f94802f3f25e/download/stonenodeinsitusensordata.zip
    Description: Matlab datasets containing all the available in-situ StoneNode data featureing acceleration (acc) and rotational data (gyr).

de:
Resource Title: LiDAR.zip
    Size: 9230241187 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/b41dd93a-2068-472c-a9d6-677ccddb8724/download/lidar.zip
    Description: LiDAR data sets of the experimental area.

de:
Resource Title: SpatialDataArchive_Input&Depositionpoints.zip
    Size: 7144252357 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/6a6d8de9-3367-4c12-bdc8-8148b7707c87/download/spatialdataarchive_inputdepositionpoints.zip
    Description: The spatial data, such as the deposition points, the orthophotos, the digital surface models (drones), the detected and measured trees, and the shape files of the deadwood-areas, are summarized in this archive.

de:
Resource Title: Deadwood_arrangement_RF44.zip
    Size: 931214257 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/9433ebb8-2543-44b1-9a9d-670e8666572a/download/deadwood_arrangement_rf44.zip
    Description: During RF44 (10.04.2021) we placed several deadwood logs. Their arrangement was recorded by a terrestrial laser scanner. Additionally, the logs diameter were measured every 3 m (within the excel file)

de:
Resource Title: RAMMS_inputs.zip
    Size: 8879303 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/076d7442-4a40-4b77-a030-0ae584abc5ae/download/ramms_inputs.zip
    Description: input data for the ramms simulations including DEM (.asc), the deadwood files (.pts), the treefile, the release line, othophoto, rocks and soil parameters.

de:
Resource Title: SoilMoisture_Values_and_SpatialData.zip
    Size: 256690 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/c675df6b-7af3-49f9-84b6-f13fbd95662c/download/soilmoisture_values_and_spatialdata.zip
    Description: All soil moisture data measurements  acieved by GS1 and MPS6 sensors and logged by a Decagon EM 50 data logger. Additionally, the location of the data logger (.shp file) and the area, which is considered as represented by the measurements (also .shp files) are saved in this .zip file.

de:
Resource Title: TreeDeflectionsAfterRockImpacts.zip
    Size: 24951 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/ab904283-883d-492e-bdd1-aba706e1aa65/download/treedeflectionsafterrockimpacts.zip
    Description: A (not further analyzed) attempt to describe the tree deflections after rock impacts summarized in an Excel spreadsheet.

de:
Resource Title: VideoArchive_HD_Resolution (individual video directory)
    Size: 0
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https://os.zhdk.cloud.switch.ch/envicloud/&prefix=doi/envidat.359/VideoArchive_HD_Resolution/
    Description:

de:
Resource Title: ReconstructedTrajectories.zip
    Size: 20739917 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/c87e6daf-2fe3-42c9-8c56-0e3a225293e5/resource/7aa7863c-3abc-4723-87b4-5ad1d9b1ad7f/download/reconstructedtrajectories.zip
    Description: Two tables per experimental run: a jump table including all parablic jumps, sliding and rolling. On the other hand also the table of all soil impacts, inbetween two jumps.

These tables are the results from the trajectory reconstruction, which based on the synchronisation of StoneNode data the Videodata and their geolocations. This synchronisation was dane based on the excel spread sheets, which are aditionally saved in this zip folder.

breaking-energy

display_name: breaking-energy

dissipated-energy

display_name: dissipated-energy

eota

display_name: eota

forest

display_name: forest

lying-deadwood

display_name: lying-deadwood

protective-effect

display_name: protective-effect

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

sensor-technology

display_name: sensor-technology

stonenode

display_name: stonenode

windthrow

display_name: windthrow


en:
Tree-ring data and tree location from 470 European beech trees (Fagus sylvatica L.) located in the northern part of Switzerland.  278 trees showed drought-induced premature leaf discoloration and shedding in summer 2018 and 192 showed normal leaf fall. The trees were selected from the "1000-Beech-Project" published by Frei et al. 2022  and the data was analyzed in Neycken et al 2023 (in preparation). The corresponding crown data are archived in the EnviDat data portal https://doi.org/10.16904/envidat.422 (Frei et al. 2023). All other data generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Publications related to original data set and crown data:
Wohlgemuth, T., Kistler, M., Aymon, C., Hagedorn, F., Gessler, A., Gossner, M.M., Queloz, V., Vögtli, I., Wasem, U., Vitasse, Y., Rigling, A., 2020. Früher Laubfall der Buche während der Sommertrockenheit 2018: Resistenz oder Schwächesymptom? Schweizerische Zeitschrift fur Forstwesen 171, 257–269. https://doi.org/10.3188/szf.2020.0257
Frei, E.R., Gossner, M.M., Vitasse, Y., Queloz, V., Dubach, V., Gessler, A., Ginzler, C., Hagedorn, F., Meusburger, K., Moor, M., Samblás Vives, E., Rigling, A., Uitentuis, I., von Arx, G., Wohlgemuth, T., 2022. European beech dieback after premature leaf senescence during the 2018 drought in northern Switzerland. Plant Biol J 24, 1132–1145. https://doi.org/10.1111/plb.13467
Publication related to tree-ring data and growth analysis:
Neycken et al 2023 (in preparation)

en: tree-ring switzerland dieback beech forest fagus-sylvatica drought

de: EnviDat

de:
Resource Title: Tree-ring data of European beech with premature leaf discoloration in 2018 and beech with normal leaf fall (.RWL)
    Size: 369099 bytes
    Format: No Info
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/8863be79-60a8-4a3d-bd95-d515222c6ad0/download/tree-ring-beech-neycken-et-al.-2023.rwl
    Description: Tree-ring data of the selected beech trees in rwl-format.

de:
Resource Title: Tree information
    Size: 39929 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/9b7feb14-9623-44b8-856d-92e810441802/download/tree-data-beech-neycken-et-al.-2023.csv
    Description: Table giving tree location, diameter at breast height and mortality status.

de:
Resource Title: Additional information to data
    Size: 4686 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/aa8a96f7-3382-40c7-8f52-fb0682da2cf0/download/additional-info-to-data-neycken-et-al.-2023.txt
    Description: Additional information to the data explaining data collection and variables.

format: TXT

media_type: text/plain

de:
Resource Title: Tree-ring data of European beech with premature leaf discoloration in 2018 and beech with normal leaf fall (.CSV)
    Size: 381368 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/4e1a2793-6469-45bf-923f-560aac1bf25f/download/tree-ring-beech-neycken-et-al.-2023.csv
    Description: Tree-ring data of the selected trees as .csv

beech

display_name: beech

dieback

display_name: dieback

drought

display_name: drought

fagus-sylvatica

display_name: fagus-sylvatica

switzerland

display_name: switzerland

tree-ring

display_name: tree-ring


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Neunkirch in Switzerland where one station is located within a natural deciduous forest stand (NEB) with European beech (_Fagus sylvatica_; 160 yrs), sycamore maple (_Acer pseudoplatanus_; 160 yrs) and lime trees (_Tilia sp._; 110 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NEF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Neunkirch is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Neunkirch, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards

en: precipitation meteorology meteo swiss-forest-lab temperature climate-change relative-humidity par long-term wind-speed

envidat

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

de: EnviDat: das Umwelt-Datenportal

envi

de: Umwelt

de:
Resource Title: Data plot of the forest station (NEB)
    Size: 229180 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/64f63815-a1df-4f25-92d3-75e2c19b2abd/download/nebplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Forest station data (NEB)
    Size: 10603940 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/0dc8b0c2-02f7-4052-bdfc-ac967a916888/download/nebforest.csv
    Description: Data file.

de:
Resource Title: Data plot of the field station (NEF)
    Size: 313178 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/084cafd7-038f-4922-a36c-af54c00399cb/download/nefplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Site photo of the field station (NEF)
    Size: 1877748 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/f8bb24e8-a6a2-4cf5-bf88-f688b7a4e488/download/nef.jpg
    Description: Site photo of the field station from the side.

de:
Resource Title: Site aerial photo (Neunkirch)
    Size: 8951072 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/68f3a7a3-21b6-45cd-8578-6232edf6d1ef/download/nefront.jpg
    Description: Site aerial photo from both Neunkirch stations. Source: Google. 2016. Site aerial photo from both Neunkirch stations. Retrieved November 11, 2016, from https://www.google.ch/maps

de:
Resource Title: Field station data (NEF)
    Size: 10713187 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/f7dc0cd8-8dd9-49f6-bfee-47d2945a23df/download/neffield.csv
    Description: Data file.

de:
Resource Title: Site photo of the forest station (NEB)
    Size: 5116944 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/20934806-9510-4de8-b2a6-acb1f9831de3/resource/49887857-0fad-44d6-a56c-58e8851a65a8/download/neb.jpg
    Description: Site photo of the forest station from below (viewing upwards the slope).

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en:
Summary
This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.
 Main model characteristics
The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.
 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.
 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.
 References
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6
Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

en: evaporation backward-trajectories snow-sublimation antarctica stable-water-isotopes lagrangian-analysis isotopic-distillation

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: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic

de:
Resource Title: Python scripts for data visualization
    Size: 21542 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/acb8a9ee-2499-4892-a6ea-79d7381019d4/download/python_scripts_plotting.zip
    Description: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

de:
Resource Title: Readme
    Size: 23594 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/8be31ec0-9d80-4995-be16-c6e1704144fb/download/readme.txt
    Description: Meta data

de:
Resource Title: Model code
    Size: 38463 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/9d6a4ef1-c0fa-46bf-9479-43bbf1d13964/download/python_scripts_model.zip
    Description: Model Sublimation and Model Air Parcel (python scripts)

de:
Resource Title: Data
    Size: 2993639 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/99ad307f-be6f-48d3-ac80-387bcb0aded7/resource/6d387739-0552-425f-90ac-584c2f8330d0/download/data_processed.zip
    Description: Modeled data including the data shown in the figures of the related research article

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes


en:
The files correspond to the data and R-script used for the analyses of the following paper "Feasting on the ordinary or starving for the exceptional: phenological synchrony between spongy moth and budburst of European trees in a warmer climate" published in Ecology and Evolution by Vitasse et al. 2023.
There are three zip files corresponding to the Temperature data, phenology/preference/performance tests and R-Scripts for the analyses.
Input data:
'Synchrony_Cuttings_Pheno.txt':

en: phenology spongy-month budburst hatch chilling

envidat

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: Synchrony between spongy moth hatching and leaf phenology of temperate trees

envi

en: Environment

de:
Resource Title: Phenology and performance/preference tests Data
    Size: 7058 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/464b7325-15da-49ed-8e50-9c1be08a3d20/download/phenology_performance_preference-tests_data.zip
    Description: -"Synchronex_Cuttings_Pheno.txt" provides the budburst date ('Stage 2') of each twig of the six studies species in the four different temperature treatments ("ambient", "a+5"=Ambient +5°C, 'Greenhouse-5'= Greenhouse at temperature >5°C, 'Greenhouse_10' = Greenhouse at temperature >10°C); 'Success' give the percentage of buds within the twig that succeeded to reach at least stage 2 during the experiment.

'Synchronex-Gypsy.txt' provides the number of eggs that have hatched at each monitoring date (Day of the year in columns); "DOY_hatch_1" corresponds to the first DOY when at least one egg has hatched; "Replicate_egg_mass" correspond to the egg mass replicate (1 to 5)

'PerformanceTest_GypsyMoth.txt' provides the biomass in mg of the caterpillars fed with fresh leaves of each tested tree species during one week. "Fresh_alive" is the biomass of only the living caterpillars after 1 week and "Freshpermoth" corresponds the weight per living caterpillar (Fresh alive/Nalive)

'PreferenceTest_All_species.txt' provides the total surface of leaf disc of each tested tree species remaining after exposing 5 caterpillars to these leaves during 24H. "Total_area" is the surface of the disc of each species measured after 24h exposed to the spongy moth first instars. For each species 'control' means the surface of the disc after 24H without any exposure to the larvae. 'EatenPercent correspond to the percentage surface loss compared to the control.

de:
Resource Title: Temperature data Spongy moth experiment
    Size: 84293 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/3891fb6e-eb1d-4835-80bf-e8ae0c85164c/download/temperature.zip
    Description: 4 files with hourly temperature recorded at the height of buds in each of the four temperature treatments:
- Winter6: greenhouse where temperature was kept >6°C over winter
- Winter10: greenhouse where temperature was kept >10°C over winter
- OTC_Ambient: Open Top Chamber at Ambient temperature
- OTC_Warm: Open Top Chamber at +3.5°C warmer temperature

de:
Resource Title:
    Size: 19723 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/31166a90-ab95-46c4-b651-4f7d474e66a7/resource/6680e96d-e720-4e07-b844-ba19e2de693e/download/r-scripts.zip
    Description: 3 R-Scripts used for the analyses of the temperature, phenology and performance/preference tests

budburst

display_name: budburst

chilling

display_name: chilling

hatch

display_name: hatch

phenology

display_name: phenology

spongy-month

display_name: spongy-month


en:
The fate of plastic in the environment is of global concern, because its production recently has
increased strongly and it accumulates in terrestrial and aquatic ecosystems. Although some knowledge on
its role in aquatic and terrestrial ecosystems was gained in the recent decade, hitherto very little is known
about the impact of micro and nanoplastics in forest ecosystems.
The aim of this pioneering project was to explore if nanoplastics are taken up by forest trees species
through leaves or roots. In greenhouse experiments, we exposed leaves or roots of seedling of two forest
trees species to solutions with highly 13C-labelled polystyrene nanoparticles (13C-nPS, 99 atom%) and
examined if they were incorporated in different above- and belowground tissues.
Treated part of the trees for both species showed significant 13C-enrichment, indicating that trees take up nanoparticles. However, the overall 13C signal strength in tissues that were not exposed to the 13C label remained low (Δδ13C-1‰) and was confined to a few seedlings, leaving it ambiguous whether nanoplastic transport occurs or not.
We acknowledge that the new method developed might be not sensitive enough to unequivocally detect
mechanisms of nanoplastic uptake and transport at environmentally realistic concentrations.

en: uptake polystyrene nanoplastic 13c-labelling forest-trees

envidat

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

de: EnviDat: das Umwelt-Datenportal

en: Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast)

format: XLS

forest-trees

display_name: forest-trees

nanoplastic

display_name: nanoplastic

polystyrene

display_name: polystyrene

uptake

display_name: uptake


en: This dataset includes gridded data on snow depth (m), snow water equivalent (mm), runoff from snow melt (mm) and snow cover fraction for Swtzerland. The data is spanning the water years 2016-2022 at a high spatial resolution of 250 m. Data are stored as daily results.

en: oshd snow-depth-distribution seasonal-snow-data snow-cover-fraction snow-melt

en: Seasonal snow data for Switzerland OSHD - FSM2sohd

envi

de: Umwelt

oshd

display_name: oshd

seasonal-snow-data

display_name: seasonal-snow-data

snow-cover-fraction

display_name: snow-cover-fraction

snow-depth-distribution

display_name: snow-depth-distribution

snow-melt

display_name: snow-melt


en:
The R script eemma.R, which implements Ensemble End-Member Mixing Analysis (EEMMA) to estimate source fractions in mixtures, exploiting information contained in time-series correlations among tracer time series.
A brief user's guide, a demonstration script, and a demonstration data set are also provided, to accompany Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.
The user's guide is available for public use under Creative Commons CC-BY-SA.  Public use of the scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

en: stable-isotopes emma mixing-models tracers end-member-mixing-analysis eemma

en: eemma.R, an R script for Ensemble End-Member Mixing Analysis

de:
Resource Title: eemma vignette script
    Size: 4457 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/a96e9b19-9fee-4b21-b36c-5f7f84a4fb37/download/eemma_vignette_script.r
    Description: An R script for the vignettes (simple data analysis demonstrations) shown in the user's guide

format: OCTET

de:
Resource Title: vignette data
    Size: 1659 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/f72873bb-b4f2-4cce-a408-8d53f54bdbec/download/vignette_data.txt
    Description: A simple data set for the vignette script

de:
Resource Title: eemma.R
    Size: 46043 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/af04514c-75bb-4fbb-a5d2-4b25fcadf32f/download/eemma.r
    Description: An R script that performs ensemble end-member mixing analysis

de:
Resource Title: eemma user's guide
    Size: 501164 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/48dff6cd-bfcb-4c5e-a30d-f909dc8d36d3/resource/8df18f5d-c902-4acc-a8ee-b94324a043a1/download/eemma-users-guide.pdf
    Description: A brief user's guide to EEMMA, with illustrations using a simple data set

eemma

display_name: eemma

emma

display_name: emma

end-member-mixing-analysis

display_name: end-member-mixing-analysis

mixing-models

display_name: mixing-models

stable-isotopes

display_name: stable-isotopes

tracers

display_name: tracers


en:
We have analysed past transformations in Switzerland in four environmental domains, with the aim to
draw conclusions for current challenges, such as the net‐zero transformation. The data comprise transcripts of interviews with experts in the field of biodiversity, forests, landscape and natural hazard research.

en: transition biodiversity enabling-factors hindering-factors natural-hazards forest landscape

en: ANEZET: Analysing Net-Zero Transformations

biodiversity

display_name: biodiversity

enabling-factors

display_name: enabling-factors

forest

display_name: forest

hindering-factors

display_name: hindering-factors

landscape

display_name: landscape

natural-hazards

display_name: natural-hazards

transition

display_name: transition


en: Data and scripts used by Scherrer et al. 2023 in the publication 'Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition'. The analysis is based on data about the tree species composition of the canopy layer in the NFI4 and information about the potential natural forest of the sites based on the NaiS classification system.

en: nfi nais naturalness protective-forest tree-species-composition

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: Naturalness of tree species composition in protective forests

de:
Resource Title: Scherrer et al. 2023 - Data for analysis and figures
    Size: 1423750 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ac3838dc-4a0b-41b7-8766-4c95c09a3f32/resource/3b7874ba-014c-435c-883a-c36976c4c86d/download/scherrer_et_al_2023_data.zip
    Description: This archive contains all the data needed to reconstruct the analysis and figures of
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

de:
Resource Title: Scherrer et al. 2023 - Scripts
    Size: 21206 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/ac3838dc-4a0b-41b7-8766-4c95c09a3f32/resource/fcac80aa-cd04-4cc0-91e3-315f1011292d/download/scherrer_et_al_2023_scripts.zip
    Description: This archive contains all the R-scripts to run the analysis and reconstruct the figures from
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

nais

display_name: nais

naturalness

display_name: naturalness

nfi

display_name: nfi

protective-forest

display_name: protective-forest

tree-species-composition

display_name: tree-species-composition


en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

en: snow-density model-validation-data snow-depth snow-water-equivalent model-calibration-data

envidat

en: EnviDat: the Environmental Data Portal

en: SWE2HS model calibration and validation data

envi

en: Environment

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent


en: Potential release files and the artificial RAMMS avalanche simulation output files as well as exposure geodataframe for the case study region of Ortner et al. 2022. Furthermore, all the necessary files to run the risk model Climada Avalnache which code is located at https://github.com/CLIMADA-project/climada_papers.

en: risk avalanche-hazard-mapping hazard-indication-mapping climada avalanche

en: Large-scale risk assessment on snow avalanche hazard in alpine regions

avalanche

display_name: avalanche

avalanche-hazard-mapping

display_name: avalanche-hazard-mapping

climada

display_name: climada

hazard-indication-mapping

display_name: hazard-indication-mapping

risk

display_name: risk


vineyard-plots-in-southern-switzerland

en: Geospatial vector data (shapefile) representing the cadastral plots in the Canton Ticino and the Moesa region (southern Switzerland) having a part of the surface occupied by vineyards in the years 1989 and/or 2020 according to the corresponding edition of the Swiss national topographic maps in the scale 1:25,000 and to the topographic landscape model of Switzerland swissTLM3D (Federal office of topography Swisstopo). In the attribute table there is many variables which describe the topography of the site, the characteristics of the plots and the evolution of the wine growing area inside the plot between 1989 and 2020. Coordinate system: EPSG:2056 - Swiss CH1903+ / LV95.

en: urbanisation urban-sprawl vineyards land-use-change agricultural-land-abandonment

en: Vineyard plots in southern Switzerland

title_for_slug: vineyard-plots-in-southern-switzerland

agricultural-land-abandonment

display_name: agricultural-land-abandonment

land-use-change

display_name: land-use-change

urban-sprawl

display_name: urban-sprawl

urbanisation

display_name: urbanisation

vineyards

display_name: vineyards


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards

en: climate-change precipitation meteorology long-term meteo relative-humidity par wind-speed swiss-forest-lab temperature

de:
Resource Title: Data plot of the field station (NOF)
    Size: 323553 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/109222cc-7332-4d1b-bca0-a7720535c593/download/nofplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Data plot of the forest station (NOB)
    Size: 284094 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/02358b22-ed7e-4a9a-962e-baebc6b6f3ab/download/nobplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Field station data (NOF)
    Size: 11304975 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/c233f5ad-47f9-42f2-99f4-f7eb776d030c/download/noffield.csv
    Description: Data file.

de:
Resource Title: Forest station data (NOB)
    Size: 11388367 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/cfcaf24a-9db8-4c9e-a199-feb4b81525da/download/nobforest.csv
    Description: Data file.

de:
Resource Title: Site aerial photo (Novaggio)
    Size: 6966649 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/2d0020ad-1764-4b92-b5ce-32e0e19b59ce/download/nofront.jpg
    Description: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

de:
Resource Title: Site photo of the forest station (NOB)
    Size: 730076 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/713fbe23-a37a-43f4-a0fd-6210d2e6b998/download/nob.jpg
    Description: Site photo of the forest station from the side.

de:
Resource Title: Site photo of the field station (NOF)
    Size: 10716874 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/cee2fefc-daa6-424a-b78c-3e324e6138ac/resource/a9a344ff-1bb5-4cce-8181-782d9fcdfc97/download/nof.jpg
    Description: Site photo of the field station from the side.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en:
Abstract
Snow and hydrological modeling in alpine environments remains a challenge because of the complexity of the processes complexity affecting the mass and energy balance. This study examines the influence of snowmelt on the hydrological response of a high-alpine catchment of 43.2 km2 in the Swiss Alps during the water year 2014-2015. Based on recent advances in Alpine3D, we examine how modeled snow distributions, and modeled liquid water transport within the snowpack influence runoff dynamics. By combining these results with multi-scale field data (snow lysimeter data, distributed snow depths and streamflow), we demonstrate the added value of a more realistic representation of snow distribution at the onset of melt season. At the site scale, snowpack runoff is well simulated when the snowpack mass balance errors are corrected (R2 = 0.95 vs. R2 = 0.61). At the sub-basin scale, a more heterogeneous snowpack leads to a more rapid runoff pulse originated in the shallower areas while an extended melting period (by more than a month) is caused by slower snowmelt from deeper areas. This result is a marked improvement over results obtained using a less heterogeneous snow distribution (i.e., traditional precipitation interpolation method). Catchment hydrological response is also improved by the more realistic representation of snowpack heterogeneity (Nash coefficient of 0.85 vs. 0.74), even though the calibration process smoothens out the differences.
The added value of a more complex liquid water transport scheme is obvious at the site scale but decreases at the sub-basin and basin scales. Our results highlight not only the importance but also the difficulty of getting a realistic snowpack distribution even in a well-instrumented area and present a model validation from multi-scale experimental datasets.

en: snowmelt spatial-variability snow-modeling complex-topography hydrological-response

de: EnviDat

en: Influence of slope-scale snowmelt on catchment response simulated with the Alpine3D model

complex-topography

display_name: complex-topography

hydrological-response

display_name: hydrological-response

snow-modeling

display_name: snow-modeling

snowmelt

display_name: snowmelt

spatial-variability

display_name: spatial-variability


en: This data includes (1) Scripts to aggregate landscape resistance layers into squared and hexagonal grids (i.e., different representations and resolutions), (2) Input resistance layers and focal nodes in .txt format to run in Circuitscape (Python implementation v4.0.5). Circuitscape is a software tool for modeling and analyzing landscape connectivity, which simulates movement of organisms across landscapes by estimating resistance to movement across each point of the landscape. (3) Scripts for the ecological network analysis, and (4) environmental predictors for amphibian whole-life cycle habitats used to describe the local environment for BGI design (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related).

en: biodiversity network-analysis urban-planning ecological-corridors ecosystem-services circuit-theory

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.

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

en: Multi-Scale Prioritization framework for Urban Blue-Green Infrastructure Planning to Support Biodiversity: Data & Codes

de:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modelling - part 2
    Size: 20335272 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/1283e651-6999-46ad-b23d-0e81c593a90e/download/2_network-analysis.zip
    Description: The zipped folder includes the script to create and analyse the networks from Circuitscape outputs. The subfolders “Boundaries”, “Layers”, and “Reference_net” contain files either called by the code or created in the process. The subfolder “Outputs_from_Circuitscape” contains the outputs from Circuitscape including node and branch cumulative currents in a network format.

de:
Resource Title:  Amphibian movement resistance layers and scripts for connectivity modeling - part 1
    Size: 247430561 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/dd7b7d6e-6fe8-455e-9743-adf791914a17/resource/e364cf62-5561-4b4d-8909-0977b3da60f3/download/1_resistance_layers.zip
    Description: The zipped folder includes the script to aggregate the resistance layers into squared and hexagonal grids. The subfolders “Boundaries”, “Layers”, “Reference_grids”, and “Resistance_from_SDMs” contain files either called by the code or created in the process.The subfolder “Inputs_for_Circuitscape” contains the inputs to run Circuitscape, after doing some subsequent processing steps in QGIS (listed in the R script) with the files created with the script.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

ecosystem-services

display_name: ecosystem-services

network-analysis

display_name: network-analysis

urban-planning

display_name: urban-planning


en:
This dataset contains the values of several chemical elements (Mg, Al, Si, S, K, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Sr, Tl, Pb, Bi) measured in the latewood of tree rings of Mongolian oak from Harbin, China, at a 5-year resolution. Due to the lack of a suitable reference material for wood, absolute concentration was not calculated, and the ratio between the chemical element and 13C was taken as proxy for the element signal.
In Harbin, one of the largest cities and most important industrial centers in northeastern China, air quality monitoring systems were built only by the end of 2015 to meet the national requirements. Thus, dendrochemical analyses could be used as a tool to complement for the lack of air quality data over longer periods of time, allowing for the reconstruction of the temporal trend of trace metals. Our main scopes were to: (a) assess the chemical composition of Quercus mongolica Fisch. ex Ledeb. tree rings from Harbin using a recently developed system of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), (b) identify the main chemical elements which
derived from air pollution and may be used as indicators over the period 1965–2020 in Harbin, while excluding those that were controlled by physiological processes in the tree, and (c) reconstruct the history of pollution in Harbin by comparing the tree-ring chemical composition of recent decades with that of previous decades, in trees growing in the highly polluted city of Harbin and in trees growing in a control site 90 km away from major pollution sources.
Briefly, the temporal trend of some elements was influenced by physiological factors, by environmental factors such as pollution, or influenced by both. Mg, K, Zn, Cu, Ni, Pb, As, Sr and Tl showed changes in pollution levels over time.

en: air-pollution tree-rings dendrochemistry dendrochronology laser-ablation

envidat

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

en: Tree-ring laser ablation data

envi

de: Umwelt

en: Environment

air-pollution

display_name: air-pollution

dendrochemistry

display_name: dendrochemistry

dendrochronology

display_name: dendrochronology

laser-ablation

display_name: laser-ablation

tree-rings

display_name: tree-rings


en:
Datasets used to implement the wet-snow avalanche activity model presented in the article:
Hendrick, M., Techel, F., Volpi, M., Olevski, T., Pérez-Guillén, C., van Herwijnen, A., Schweizer, J. (2023). Automated prediction of wet-snow avalanche activity in the Swiss Alps. Journal of Glaciology, under review
Each dataset includes the input variables (weather and snowpack features) and the target variable (wet-snow  avalanche day or not) used to build the model. Additionally, Dataset3_nowcast and Dataset3_forecast contain the predictions provided by the RF12 model.
All input variables are described in the Appendix of the article and also in the read_me file. Further information on SNOWPACK variables is also available at https://models.slf.ch/p/snowpack/ .

en: wet-snow-avalanche avalanche avalanche-forcasting numerical-avalanche-forecasting machine-learning

en: Weather, snowpack and avalanche occurrence data for automated prediction of wet-snow avalanche activity

de:
Resource Title: dataset2
    Size: 4255845 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/42c796be-2f67-42d0-9cbb-ae848903be3d/download/dataset2.csv
    Description: This dataset contains input and target data for winter 2020-2021. Dataset2 was used for training model RF12.

de:
Resource Title: read_me
    Size: 13163 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/cbf59631-422c-48e9-8026-e40c1839c841/download/read_me.xlsx
    Description: Features description

de:
Resource Title: dataset1
    Size: 2728414 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/5919bf40-5bb8-4018-8b19-25927e415a16/download/dataset1.csv
    Description: This dataset contains input and target data for winters before September 2020. Dataset1 was used for training model RF12.

de:
Resource Title: dataset3_nowcast
    Size: 1763995 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/8c765e17-5221-4960-97f7-9683be75321d/download/dataset3_nowcast.csv
    Description: This dataset contains nowcast input and target data for winter 2021-2022. This dataset is the nowcast test set for RF12. The column RF12_AvD_proba is the predicted probability for wet-snow avalanche day provided by the RF12 model.

de:
Resource Title: dataset3_forecast
    Size: 1818925 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/3a86f203-df30-4ff2-a2bc-94ba80063e0e/download/dataset3_forecast.csv
    Description: This dataset contains forecast input and target data for winter 2021-2022. This dataset is the forecast test set for RF12. The column RF12_AvD_proba is the predicted probability for wet-snow avalanche day provided by the RF12 model.

avalanche

display_name: avalanche

avalanche-forcasting

display_name: avalanche-forcasting

machine-learning

display_name: machine-learning

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

wet-snow-avalanche

display_name: wet-snow-avalanche


en: In the dry Pfynwald forest a long-term experiment of WSL was initiated in 2003 with a set of irrigated and non-irrigated plots. Forest Entomologie WSL made several investigations, one of them on the effect of irrigation (or conversely of drought) on the biodiversity of epigaeic arthropods such as ground beetles and spiders. In addition, its effects were also assessed by counting galls formed by gall wasps on pubescent oak.

en: quercus-pubescens araneae drought gall-wasps cynipidae carabidae pinus-sylvestris

en: Diversity of ground beetles and spiders as well as cynipid oak gall formation on irrigated and non-irrigated plots in a dry mixed Scots pine forest

araneae

display_name: araneae

carabidae

display_name: carabidae

cynipidae

display_name: cynipidae

drought

display_name: drought

gall-wasps

display_name: gall-wasps

pinus-sylvestris

display_name: pinus-sylvestris

quercus-pubescens

display_name: quercus-pubescens


en:
Topic of Survey
The data at hand on energy cooperatives in Switzerland were collected in 2016 as part of the project "Collective financing of renewable energy projects in Switzerland and Germany" of the National Research Programme 71 "Managing Energy Consumption". The cooperatives were surveyed on their organizational structure, their activities in electricity and heat generation, their finances, the political context and their assessments of the future.
 Survey Method
The survey was targeted at all energy cooperatives in Switzerland (this is the basic population). The Swiss Commercial Register was searched for cooperatives and specific keywords in order to determine this basic population and collect addresses. This search in May 2016 resulted in a total of 304 energy cooperatives, to which a questionnaire was sent in July 2016. A pre-test with 8 persons had been carried out before the questionnaire was sent out. The questionnaire was provided in German and French. It was sent by mail and an attached letter referred to a link for the digital version if preferred. The online version was designed with the software "Sawtooth". After three weeks, a first, and after six weeks a second reminder letter was sent to those cooperatives that had not yet completed the questionnaire. The returned hardcopy questionnaires were manually entered into the database and then combined with the electronic data from the online survey. In the course of the survey, the total population was reduced from 304 to 289: in 4 cases the survey was not deliverable, 4 cooperatives had dissolved, 6 were not actually energy cooperatives, 1 case had recently changed its legal form. With a response rate of 47%, the final data set comprises 136 responses (from 77 digital and 59 hardcopy questionnaires). However, not all 136 of the returned questionnaires were filled out completely. We checked for answers that seemed contradictory or incomprehensible. If an error could be clearly identified and the correct answer derived, the answer was adjusted, otherwise the answer was replaced by "missing data".
 Anonymization
Participating cooperatives have been assured that their information will be kept confidential and will only be made public anonymously. For this reason, the data have been anonymized in in order to prevent any identification of individual cooperatives.
 How to Use the Data
* The data are available in CSV and SPSS (sav.) format.
* A codebook and a modified version of the used questionnaire are provided to illustrate the data and variable structure. In the questionnaire, the variable names are assigned to the corresponding questions. In the codebook, further information on these variables (valid n, answer categories) can be found. This information (of the codebook) is already integrated in the SPSS file.
 Current Embargo on Data
These data are currently under embargo and will only be released when the project is completed (not before 2020).
Additional Information
* The used questionnaire is provided in German and French.
* Descriptive results of the survey were published in a WSL report: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:18943

en: switzerland cooperatives energy-cooperatives renewable-energy community-energy

en: Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse

de:
Resource Title: Questionnaire with variable names
    Size: 3397996 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/806cb4ee-b4b7-4b77-9bbd-c014ae28bc76/download/energy-cooperatives-switzerland_questionnaire-with-variable-names.pdf
    Description: Modified questionnaire with variable names for each item. Should be used together with the data files (.csv or .sav) to reconstruct the data and variable structures.

de:
Resource Title: Raw data (.csv)
    Size: 196544 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/7f6c3275-0b87-410f-882e-4496a5705a08/download/energy-cooperatives-switzerland_data.csv
    Description: Raw data in csv. format. For comprehension of the data and variable structure, please consult the codebook and the modified questionnaire with variable names.

de:
Resource Title: Codebook
    Size: 2433879 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/30440e19-9f40-4bd5-a779-af1640db1891/download/energy-cooperatives-switzerland_codebook.pdf
    Description: Description of variable attributes and valid n

de:
Resource Title: Raw date (SPSS)
    Size: 323839 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/ec4125f8-d549-452f-a134-b53439f3b6e5/resource/1319f978-1d65-498c-8bfd-589f1b89e6a7/download/energy-cooperatives-switzerland_data.sav
    Description: Raw data in sav. format (SPSS). For comprehension of the data and variable structure, please consult the modified questionnaire with variable names.

community-energy

display_name: community-energy

cooperatives

display_name: cooperatives

energy-cooperatives

display_name: energy-cooperatives

renewable-energy

display_name: renewable-energy

switzerland

display_name: switzerland


en: We conducted four drone flights in Davos Wolfgang Arelen, in 2020/21 and 2022 to obtain data for the generation of DSMs and orthomosaics at a high resolution. The data was processed with the Agisoft Metashape Professional Software.

en: drone-data photogrammetry dsm uav wingtra

en: Photogrammetric Drone Data Wolfgang Arelen

drone-data

display_name: drone-data

dsm

display_name: dsm

photogrammetry

display_name: photogrammetry

uav

display_name: uav

wingtra

display_name: wingtra


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Othmarsingen in Switzerland where one station is located within a natural deciduous forest stand (OTB) with European beech (_Fagus sylvatica_; 120-140 yrs) and lime trees (_Tilia sp._; 120-140 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, OTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Othmarsingen is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

en: Othmarsingen, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards

en: meteo swiss-forest-lab temperature climate-change precipitation meteorology par long-term wind-speed relative-humidity

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.

de:
Resource Title: Field station data (OTF)
    Size: 11582801 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/5b4e810a-ce77-47dc-9e23-ba691ade9192/download/otffield.csv
    Description: Data file.

de:
Resource Title: Forest station data (OTB)
    Size: 10501901 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/f5f71a78-9574-4bcc-a326-4d455b6821a4/download/otbforest.csv
    Description: Data file.

de:
Resource Title: Data plot of the field station (OTF)
    Size: 302026 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/663df714-b0fb-45d3-b83f-3e80755a0a1a/download/otfplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Site photo of the field station (OTF)
    Size: 11868194 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/74f4dcb2-e18d-40bb-bb18-8383f907a285/download/otf.jpg
    Description: Site photo of the field station from below (viewing upwards the slope).

de:
Resource Title: Data plot of the forest station (OTB)
    Size: 255873 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/f01faaab-8cee-4b07-b95c-1498f5b09285/download/otbplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Site photo of the forest station (OTB)
    Size: 319164 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/b1937555-6a89-4452-93f9-3cf418382fb6/download/otb.jpg
    Description: Site photo of the forest station from above (viewing downwards the slope).

de:
Resource Title: Site aerial photo (Othmarsingen)
    Size: 7687492 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/70a7c0f0-0ab9-4d31-b80c-c656c9fca7d9/resource/d74e4b24-bd75-4ce2-8bb5-4c04b77d8099/download/otfront.jpg
    Description: Site aerial photo from both Othmarsingen stations. Source: Google. 2016. Site aerial photo from both Othmarsingen stations. Retrieved November 11, 2016, from https://www.google.ch/maps

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en: The data was collected on 16.04.2021 and on 28.05.2021 with a Wingtra Gen II and a Sony RX1 II RGB sensor to obtain snow depth and distribution data. Following the data collection, the data was processed with Agisoft Metashape. A 10cm DSM, a 10cm snow depth raster, a 3mm orthophoto and the original drone images are available for download.

en: orthophoto wingtra drone-data photogrammetry dsm uav

envidat

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: Photogrammetric Drone Data Schürlialp

envi

de: Umwelt

en: Environment

orthophoto

display_name: orthophoto


en:
List of key debris flow variables from the WSL Illgraben monitoring station (2019-2022) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density.
This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future.

en: magnitude monitoring-station illgraben debris-flow force-plate

en: Illgraben debris-flow characteristics 2019-2022

debris-flow

display_name: debris-flow

force-plate

display_name: force-plate

illgraben

display_name: illgraben

magnitude

display_name: magnitude

monitoring-station

display_name: monitoring-station


en:
Richness, site occurrence and abundance data of bees, beetles, birds, hoverflies, net-wingeds, true bugs, snails, spiders, milipides, wasps collected in the city of Zurich using different sampling techniques, and the environmental variables for each sampling site.
Data are provided on request to contact person against bilateral agreement.

en: urban-ecology diversity snails sdms species-richness-models arthropods birds urbanization insects spiders species-abundance-distributions

en: Ecological properties of urban ecosystems. Biodiversity dataset of Zurich

de:
Resource Title: Dataset_3_Species_richness_hyper.txt
    Size: 1373081 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0ef3b508-b8e7-4404-a7b9-edc51c7f2375/download/dataset_3_species_richness_hyper.txt
    Description: contains the raw data to perform the species richness models of the hypercommon species

de:
Resource Title: Dataset_2_SDM_data.txt
    Size: 65679611 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/0e2e7fb0-88ba-4aa4-92ef-079191b4a668/download/dataset_2_sdm_data.txt
    Description: contains the raw data to perform species distribution models, only for common species

de:
Resource Title: Dataset_4_Species_richness_rare.txt
    Size: 2274863 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/3bbbc78a-92c3-4832-b51b-61d65346460e/download/dataset_4_species_richness_rare.txt
    Description: contains the raw data to perform the species richness models of the rare species

de:
Resource Title: Dataset_1_SAD_SOD.txt
    Size: 73478 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/a7a96a85-dc46-4b5f-bcf4-4d91485e3d03/download/dataset_1_sad_sod.txt
    Description: abundance and occurrence data of the 1446 species studied, used to investigate species-abundance distributions and species-occurrence distributions

de:
Resource Title: Dataset_5_Species_richness_all.txt
    Size: 2452421 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/0f81429a-204e-4720-929e-5b251e9ab1c4/resource/f3abc8d4-c92e-4a57-aea4-39ba8c93158d/download/dataset_5_species_richness_all.txt
    Description: contains the raw data to perform the species richness models of all species

arthropods

display_name: arthropods

birds

display_name: birds

diversity

display_name: diversity

insects

display_name: insects

sdms

display_name: sdms

snails

display_name: snails

species-abundance-distributions

display_name: species-abundance-distributions

species-richness-models

display_name: species-richness-models

spiders

display_name: spiders

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization


en:
Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models.
Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps.
Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.

en: point-process-model background-data random-stratified-sampling independent-dataset target-group covariate-correction cluster plant-species survey-effort environmental-stratification

en: Novel methods to correct for observer and sampling bias in presence-only species distribution models

background-data

display_name: background-data

cluster

display_name: cluster

covariate-correction

display_name: covariate-correction

environmental-stratification

display_name: environmental-stratification

independent-dataset

display_name: independent-dataset

plant-species

display_name: plant-species

point-process-model

display_name: point-process-model

random-stratified-sampling

display_name: random-stratified-sampling

survey-effort

display_name: survey-effort

target-group

display_name: target-group


en:
This dataset comprises a large array of ecological data for the European Alps:
    (1) Current soil and climate predictors at various resolutions.
    (2) GBIF observations of the European Alps Flora (~4,000 species).
    (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
    at various resolutions used in the study to generate (4); except 'expert'...
    (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
    (from 100-m to 40-km --- 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
    SOIL and CLIM-SOIL models.
    (5) Ecological and altitudinal preferences of the European Alps Flora.
    (6) Data outputs of the related published article.
    (7) All scripts used for analyses.
    (8) Additional files used for analyses.
    (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
    filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
    non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---- not incorporated in the study.

en: grain-size functional-diversity climate taxonomic-diversity phylogenetic-diversity ecological-indicator-values soil

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity


en:
Additional references to the article:
Linking solar and biomass resources to generate renewable en-ergy: can we find local complementarities in the agricultural setting?
Gillianne Bowman, Thierry Huber, Vanessa Burg
Energies, https://www.mdpi.com/1996-1073/16/3/1486
Today, the energy transition is underway to tackle the problems of climate change and energy sufficiency. For this transition to succeed, it is essential to use all available re-newable energy resources most efficiently. However, renewable energies often bring high volatility that needs to be balanced. One solution is to combine the use of different renewable sources to increase the overall energy output or reduce its environmental impact. Here, we estimate the agricultural solar and biomass resources at the local level in Switzerland, considering their spatial and temporal variability using Geographic In-formation Systems. We then identify the technologies that could allow synergies or complementarities. Overall, the technical agricultural resources potential is ~15 PJ/annus biogas yield from residual biomass and ~10 TWh/a electricity from solar installed on roofs (equivalent to ~36 PJ/a). Anaerobic digestion, combined heat & power plant, Raw manure separation, Biomethane upgrading, Power to X, Electrolysis, Chill generation and Pho-tovoltaic on biogas facilities could foster complementarity in the system if resources are pooled within the agricultural setting. Temporal complementarity at the farm scale can only lead to partial autarchy. The possible benefits from these complementarities should be better identified, particulary in looking looking at the economic viability of such systems.

en: photovoltaic biomethane bioenergy complementarity gis

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: Linking solar and biomass resources to generate renewable energy: can we find local complementarities in the agricultural setting?

de:
Resource Title: Manure monthly resolution
    Size: 885 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/9eaec15c-b990-4067-ae99-33d717a85ac4/download/manure-monthly-temporal-resolution.csv
    Description: This gives details on how calculation were made to estimate the monthly distribution of manure produced in Switzerland.

de:
Resource Title: Supplementary Information
    Size: 885 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/a4dff48e-09e9-4da4-8dfb-fc752be0a716/download/electricity-yields.csv
    Description: Supplementary Information with regards to how the solar and biomass resources were calculated for the paper. Electricity yields of PV depending on various variables

de:
Resource Title: Agricultural Potential_2018_Municipalities2022_with_Monthly repartition
    Size: 1647592 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/b7a9c653-0517-4ee8-9cef-128dcc368eea/download/agricultural-potential_2018_municipalities2022_with_monthly-repartition.csv
    Description: Base data  for quantitites of manure and agricultural residues available in Switzerland aggregated per municipalities and provided yearly and monthly.

Method:
The biomass considered in this study consists of agricultural residues arising according to current practice, i.e. mainly manure and some crop by-products. Availability was calculated following the method of (Burg et al., 2018)   based on the updated national agricultural inventory (FSO, 2018). The animal manure potential considered here represents the total annually collected amount, i.e. generated amount after subtracting losses from grazing. With regard to crop by-products, only a small percentage of the theoretical potential was considered to be available since most crop by-products cannot be readily collected today (Burg et al., 2018). The potential biogas production used in the present study was calculated analogously as in Burg et al. (2018) based on a specific biogas yield from fresh biomass. The additional potential of co-substrates from industrial or municipal organic wastes was not considered here.
Bsed on G1G22 (Municipalities in 2022) according to BFS

References:
Burg, V., Bowman, G., Erni, M., Lemm, R., Thees, O., 2018a. Analyzing the potential of domestic biomass resources for the energy transition in Switzerland. Biomass and Bioenergy 111, 60-69. https://doi.org/https://doi.org/10.1016/j.biombioe.2018.02.007
FSO, 2018. Individual data from the agricultural structure survey STRU. Federal statistical office FSO, Bern.

de:
Resource Title: Additional references
    Size: 70141 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/de2fb674-6088-4bda-8de5-45ba6a5b986b/download/energies-2088589-supplementary_additional_references.pdf
    Description: Additional references to an article

bioenergy

display_name: bioenergy

biomethane

display_name: biomethane

complementarity

display_name: complementarity

gis

display_name: gis

photovoltaic

display_name: photovoltaic


en:
This data set includes GPS-derived snow water equivalent (SWE), snow depth (HS) and liquid water content (LWC) data for three entire snow-covered seasons (2015-2016, 2016-2017, 2017-2018) at the study plot Weissfluhjoch 2540 m a.s.l. (Davos, Switzerland). The procedure to derive these snow properties is described in Koch et al. (2019). The novel approach is based on a combination of GPS signal attenuation and time delay.
The dataset also includes corresponding validation data for SWE and HS measured at Weissfluhjoch, and some additional meteorological data used for interpretation of the snow cover evolution.
Please refer to the Read-me file for further details on the data.
These data are the basis of the following publication:
- Koch, F., Henkel, P., Appel, F., Schmid, L., Bach, H., Lamm, M., Prasch, M., Schweizer, J., and Mauser, W., 2019. Retrieval of snow water equivalent, liquid water content and snow height of dry and wet snow by combining GPS signal attenuation and time delay. Water Resources Research, 55(5), 4465-4487. https://doi.org/10.1029/2018WR024431

en: GPS-derived data of SWE, HS and LWC and corresponding validation data

en: liquid-water-content gps snow-cover snow-depth snow

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

de:
Resource Title: Read-me
    Size: 109310 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/cd57ac77-a276-4783-88c9-f52f51552d2c/resource/d491aadc-0a43-4caa-8b32-09c988ec4841/download/readme.pdf
    Description: The read-me file contains the description of the data provided.

de:
Resource Title: Dataset with GPS-derived snow cover properties and validation data
    Size: 90714 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cd57ac77-a276-4783-88c9-f52f51552d2c/resource/01f4a113-7ad0-4993-9efa-f30bbe0f0474/download/gps-derived_snow_properties.csv
    Description: This file includes the data as described in the Read-me file.

gps

display_name: gps

liquid-water-content

display_name: liquid-water-content

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth