en:
Monitoring fish diversity through eDNA metabarcoding along the Kinabatangan river
In 2019, water samples were collected in 25 locations along the Kinabatangan in Malaysia. Samples were taken either from a boat or by filtering from the side of the river. At each station, two filtration replicates were performed using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 min, during which approximately 30 liters of water were filtered through each filtration capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. We use primers for eukaryote and fish. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: malaysia teleo edna fish metabarcoding

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: Environmental DNA Freshwater Malaysia Kinabatangan 2019

edna

display_name: edna

fish

display_name: fish

malaysia

display_name: malaysia

metabarcoding

display_name: metabarcoding

teleo

display_name: teleo


$oid: OBSOLETE

en:
Dataset supporting the paper "Herbivory mediates the response of below-ground food-webs to invasive grasses", published in the Journal of Animal Ecology.
The dataset refers to samples collected across 6 farms in the Bega Valley region of Australia. The farms are located in the grassy woodland ecoregion and are extensively managed with sheep and cattle grazing. Livestock shares the landscape with native mammalian and invertebrate herbivores. On each farm, two nested fenced exclosure systems were established. These included an open area, a fence excluding livestock but allowing access to native mammals and invertebrates, a fence excluding all mammals but allowing access to invertebrates and a shielded cage excluding all invertebrate herbivores as well. In each farm, one of these systems was located in a zone  dominated by the native Kangaroo grass, and another in a zone co-dominated by the Invasive African lovegrass. The sample and treatment numbering is provided in the file Sample_metadata.
Soil samples were taken and DNA was extracted and amplified for 16s and ITS markers. The resulting metabarcoding derived ASV tables are presented (16s_ASV_table and ITS_ASV_table), as are the inferred functional profiles for bacteria at the enzyme and pathway level (16s_picrust_enzymes and 16s_picrust_pathways), as derived by the PICRUSt2 pipeline, and the fungal guilds reconstructed with FunGuildR (FunguildR_output).
Chemical, physical and enzymatic assays were also performed on the soil samples (Chemical_data).
Nematodes were extracted from soil cores with a Baermann funnel, counted (Nematodes_counts) and had their DNA extracted and amplified (Nematodes_asv_table). Soil invertebrates were sampled with below-ground pitfall traps and identified to family level (Invertebrates) and earthworms were manually extracted from 20*20*20 cm monoliths ((Earthworm_counts).
Two 20 by 100 cm strips had their vegetation removed and their living and litter biomass quantified by dry weight (Biomass_summary). Sensors measuring moisture and temperature 10 cm beneath the soil surface were installed in each plot and their output is presented in Microclimate_summary.

en: ecosystem-functioning invasive-species soil-biodiversity grassland herbivory

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.

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: Microclimate_summary.csv.xlsx
    Size: 3575094 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/54ae1e37-c905-4e7a-84ef-bdd19489fedf/download/microclimate_summary.csv.xlsx
    Description: Summary of sensor-collected soil moisture and temperature data

format: XLS

en:
Resource Title: FunGuildR_output.csv
    Size: 3471 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/d54a6c74-d9a7-4c1d-bff2-fe2aa355cfdc/download/funguildr_output.csv
    Description: FunGuildR derived ecological profiles of fungal communities

format: CSV

media_type: text/csv

en:
Resource Title: ITS_ASV_table.tsv.txt
    Size: 4203574 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/2569787f-d2d4-427e-a024-3a45d6bc9856/download/its_asv_table.tsv.txt
    Description: ASV table of fungal communities. Each column is a sampling site

format: TXT

media_type: text/plain

en:
Resource Title: 16s_picrust_enzymes.tsv.gz
    Size: 416613 bytes
    Format: application/gzip
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/b3783c93-6e3d-4e1b-a417-cbb1a489699c/download/16s_picrust_enzymes.tsv.gz
    Description: PICRUSt2 derived functional profiles of bacterial communities

format: gzip

en:
Resource Title: 16s_picrust_pathways.tsv.gz
    Size: 175067 bytes
    Format: application/gzip
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/a724bdd1-1af4-4719-a29d-00908d1ec218/download/16s_picrust_pathways.tsv.gz
    Description: PICRUSt2 derived inferred pathways for bacterial communities

en:
Resource Title: Nematodes_asv_table.csv
    Size: 1319550 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/5cd79f48-2967-4687-8a34-cf18c3e3f9b4/download/nematodes_asv_table.csv
    Description: ASV table of nematode communities

en:
Resource Title: Nematodes_counts.csv
    Size: 2438 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/3b85e403-72c0-4f1c-bde3-c0464a59b660/download/nematodes_counts.csv
    Description: Summary counts and moisture adjustments for Baermann extracted nematode samples

en:
Resource Title: Biomass_summary.csv
    Size: 4005 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/a2d0a31a-cfb3-421c-9970-36f0f2ba9b5e/download/biomass_summary.csv
    Description: Summary of collected biomass data. Each row is the average of 2 20 by 100 cm strips.

en:
Resource Title: Sample_metadata.csv
    Size: 1295 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/ef16a55a-9e7e-447e-9fb8-c07818c42b82/download/sample_metadata.csv
    Description: Metadata and treatment information for each of the sampling sites

en:
Resource Title: Chemical_data.csv
    Size: 8011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/9303e1cc-6bd5-4274-8e3c-64857ee50dff/download/chemical_data.csv
    Description: Summary of chemical and physical parameters. Each row is a sampling site

en:
Resource Title: Invertebrates.csv
    Size: 6266 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/46a505cc-ced8-41da-92f6-c2db25b46550/download/invertebrates.csv
    Description: Summary table of pitfall-trap collected invertebrates.

en:
Resource Title: Easrthworm_counts.csv
    Size: 1165 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/695104b9-95dd-4ee3-bd87-b99f62c82816/download/easrthworm_counts.csv
    Description: Earthworms counts and biomass for each sampling site

en:
Resource Title: 16s_ASV_table.txt
    Size: 10331118 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4bda5372-4c89-4db2-91c2-da8b2f55aacc/resource/200c7de4-d400-47f6-9b28-a4710766338e/download/16s_asv_table.txt
    Description: ASV table of 16s (bacteria) communities. Columns are sampling sites, rows ASVs

ecosystem-functioning

display_name: ecosystem-functioning

grassland

display_name: grassland

herbivory

display_name: herbivory

invasive-species

display_name: invasive-species

soil-biodiversity

display_name: soil-biodiversity


en:
CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum.  Here we use the delta change method by B-spline interpolation of anomalies (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated between all CRU TS grid cells and are then added (for temperature variables) or multiplied (in case of precipitation) to high resolution climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). This method has the assumption that climate only varies on the scale of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) is consistent over time. This is certainly a rather crude assumption, and for time periods for which more accurate data is available CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take changing wind patterns, or temperature lapse rates into account, but rather expects them to be constant over time, and similar to the long term averages.
CHELSAcruts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

en: climate-layers free-climate-data century climate minimum-temperature precipitation timeseries air-temperature maximum-temperature

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: CHELSAcruts -  High resolution temperature and precipitation timeseries for the 20th century and beyond

en:
Resource Title: CHELSA_tech_specification_V1.2.pdf
    Size: 1146678 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/9c9c699a-e57f-49e9-b489-c6abdfa9b53b/resource/1d294699-c738-4a00-8500-2d64d3226819/download/chelsa_tech_specification_v1.2.pdf
    Description:

format: PDF

media_type: application/pdf

en:
Resource Title: Data Access
    Size: 3298534883328 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F&prefix=chelsa_cruts%2F
    Description: CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum.

en:
Resource Title: CHELSA Technical Documentation
    Size: 0
    Format: application/pdf
    URL: http://chelsa-climate.org/wp-admin/download-page/CHELSA_tech_specification.pdf
    Description: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

timeseries

display_name: timeseries


en:
Spatio-temporal vegetation models are essential for simulating dynamics and shifts
in species distributions over large areas, particularly under global change. One such
model is the dynamic forest landscape model TreeMig. We have developed a frame-
work that makes the model more user-friendly, improves its functionality, and expands
its possibilities. The framework consists of the improved TreeMig model, the R pack-
age ‘TreeMig-R’ for pre-processing input data, model execution and visualization and a
graphical user interface (GUI) for ease of use. The code of the TreeMig Package and the GUI is stored here.

en: gui dynamic-modelling landscape r-package forest-model

envidat

en: EnviDat: the Environmental Data Portal

en: Code of TreeMig Package version 1

envi

en: Environment

format: ZIP

dynamic-modelling

display_name: dynamic-modelling

forest-model

display_name: forest-model

gui

display_name: gui

landscape

display_name: landscape

r-package

display_name: r-package


en:
Research question / purpose
Timber is widely used for protection measures in torrent control. However, life span of woody constructions such as timber check dams is limited mainly due to fungal decay. In practice a controversial discussion has been going on if either Norway spruce (Picea abies) or silver fir (Abies alba) is more enduring and if bark removal increases resistance against fungal decay.
Description
This dataset contains monitoring information on a series of 15 timber check dams built in 1996 in Hergiswil, Switzerland. The constructions were alternatively realised with Norway spruce and silver fir, half of them each with remaining and removed bark, respectively. The data includes the identification of decayed zones with a simple practical approach (i.e. measurement of the penetration depth of a slotted screwdriver No. 3) from a total of 12 repeated surveys from 2001 to 2025.
The following information is contained (by column and column title):
•	Identification of decayed zone (column title “Decay_Id”)
•	Year of survey (column title “Year”)
•	Identification of check dam (column title “Check dam”)
•	Degree of decay (column title “Degree of decay”): 2 = reduced wood strength (penetration depth 2-10 mm); 3 = low wood strength (penetration depth - 10 mm)
•	Sectors 1 to 7 of check dams (column title “Sector”)
•	Element of check dam (column title “Element”): LH (longitudinal log, German: “Längsholz”), Z (transverse log, German: “Zange”), FH (infill log, German: “Füllholz”)
Plan of check dams and additional information on monitoring surveys: survey information (PDF)

en: fungal-decay check-dam timber-structure long-term-behaviour torrent-control

en: Long-term behaviour of timber constructions in torrent control

en:
Resource Title: decay_envidat.csv
    Size: 13209 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/25bbe989-95e3-4705-9807-248a0ab14884/resource/7db6f23d-ff20-4991-a626-616e2be7aa65/download/decay_envidat.csv
    Description:

en:
Resource Title: Survey Information.pdf
    Size: 357932 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/25bbe989-95e3-4705-9807-248a0ab14884/resource/37048955-41d9-4145-96cd-90c3edc4c83b/download/survey-information.pdf
    Description:

check-dam

display_name: check-dam

fungal-decay

display_name: fungal-decay

long-term-behaviour

display_name: long-term-behaviour

timber-structure

display_name: timber-structure

torrent-control

display_name: torrent-control


soil-erosion-mapping-on-steep-slopes

en:
The dataset contains Digital Terrain Models (DTMs) and orthophotos obtained from successive surveys used to quantify soil erosion on non-vegetated slopes in a torrent catchment. The research area is steep (mainly 30-60°), has a complex topography and the spatial extent is about 0.6 ha. Furthermore, it is partly forested, and the soils consist mainly of glacial till. Digital terrain models were compiled in spring and autumn of the years 2021 to 2025 using UAV based LiDAR (Riegel miniVUX-3) and Photogrammetry (DJI Phantom 4 RTK).
To derive DTMs from the LiDAR (miniVUX-3) and photogrammetric (Phantom 4RTK) point clouds ground classification was processed with lasground_new (LASTools) and further refined by applying a filtering, based on vegetation index (2*green channel – red channel – blue channel) to remove vegetation points falsely classified as ground. Documented accuracies of the DTMs heights compared to dGNSS measurements were mostly around 2-5 cm. All data is supplied in the reference system LV95 (epsg: 2056) / LN02 (epsg: 5728).
Dates of surveys (miniVUX-3UAV, DJI P4 RTK):
 * 15.06.2021
 * 10.11.2021
 * 20.04.2022
 * 17.11.2023
 * 18.04.2023
 * 24.11.2023
 * 19.03.2024
 * 14.11.2024
 * 25.03.2025
 * 12.11.2025

en: mountain-stream monitoring gully erosion-scar steep-slope erosion

en: Soil erosion mapping on steep slopes

title_for_slug: soil-erosion-mapping-on-steep-slopes

erosion

display_name: erosion

erosion-scar

display_name: erosion-scar

gully

display_name: gully

monitoring

display_name: monitoring

mountain-stream

display_name: mountain-stream

steep-slope

display_name: steep-slope


en:
Plant ecophysiological and associated environmental data for two tree species (*Fagus sylvatica* and *Quercus pubescens*) grown for five years in a factorial open-top climate chamber experiment (Model Ecosystem Facility, Birmensdorf, Switzerland) to test the long-term effects of heat (+5 °C) and soil drought (irrigation reduced by 50%). n = 4 trees per species and treatment, n = 48 trees total.
 Included data sheets:
- Environmental_Data.csv: Chamber-level environmental recorded every 10 minutes
- Tleaf.csv: Leaf temperatures recorded every 10 minutes
- Gas_exchange.csv: Leaf-level gas exchange data taken diurnally on four days during the growing season
- Leaf_traits.csv: Leaf functional traits
- TSMs_HSMs.csv: Photosynthetic thermal tolerance and leaf water potential data, summarized also in terms of leaf thermal safety margins and hydraulic safety margins, collected 3-4 times during the growing season
- Scorch.csv: Leaf-level leaf scorching data, including leaf thermal safety margins and scorching occurrence and presence, summarized by date

en: thermoregulation hot-drought gas-exchange leaf-scorching hydraulic-safety-margins quercus-pubescens functional-traits fagus-sylvatica thermal-safety-margins

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: Hydraulic stress limits thermal acclimation in trees under chronic drought

en:
Resource Title: Tleaf.csv
    Size: 28028436 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1860aa5f-68f2-4889-b0c9-bd907e48111f/download/tleaf.csv
    Description: Tree-level leaf temperature data recorded every 10 minutes.

Variable List:
	- Timestamp (MM/DD/YYYY HH:MM)
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Tair: Air temperature (degrees C)
	- Tleaf: Leaf temperature (degrees C)
	- Tdiff: Leaf-to-air temperature differential (degrees C)

en:
Resource Title: README.txt
    Size: 8090 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1f818ee5-bfba-4996-b8fb-e6dc1c96fbb4/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: README.txt
    Size: 8110 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1fe7f58f-356a-4ed4-ae5f-a2b16755e9de/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: Gas_exchange.csv
    Size: 4413 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/cc7e702f-6d53-4192-944c-7671eaecf5bc/download/gas_exchange.csv
    Description: Mean values taken for each tree across the growing season. Measurements were taken diurnally (~1 measurement/hr) with a Licor LI6800 matching ambient chamber conditions on 4 days during the growing season (1 day in June, July, August, September).

- Number of variables: 11
- Number of cases/rows: 48
- Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- gsw.mean: Mean stomatal conductance rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lngsw.mean: Mean of the natural log of stomatal conductance
	- lngsw.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lngsw.mean and Tdiff.mean

en:
Resource Title: TSMs_HSMs.csv
    Size: 15217 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/6c897b79-4cc6-46f5-87f0-83275921ede9/download/tsms_hsms.csv
    Description: Tree-level photosynthetic thermal tolerance, leaf water potentials, thermal safety margins, and hydraulic safety margins measured 3-4 times per tree during the growing season.

Variable List:
	- TreeID: Unique identifier for individual trees
 	- Species: Tree species
	- Campaign: Month of the growing season in which data was collected
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Waterpotential: midday leaf waterpotential (MPa)
	- WPtlp: Waterpotential at leaf turgor-loss-point (MPa) *Measured by Mas, E., Cochard, H., Deluigi, J., Didion-Gency, M., Martin-StPaul, N., Morcillo, L., Valladares, F., Vilagrosa, A., & Grossiord, C. (2024). Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure. New Phytologist, 241(3), 1021-1034. https://doi.org/https://doi.org/10.1111/nph.19358
	- HSM: Hydraulic safety margin (difference between WPtlp and Waterpotential, in MPa)
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C)
	- T50: High leaf temperature at which Photosystem II function declines by 50% (degrees C)
	- Tleaf.max: Maximum leaf temperature during the week preceding thermal tolerance measurement
	- TSM.min: Minimum leaf thermal safety margin during the week preceeding thermal tolerance measurement (difference between Tcrit and Tleaf.max, in degrees C)

en:
Resource Title: Leaf_traits.csv
    Size: 7772 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/eaf9d8ce-80f5-489f-af97-e80760927aee/download/leaf_traits.csv
    Description: Tree-level leaf functional trait data.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Leaf_width (cm)
	- Leaf_area (cm^2)
	- Stomatal_density (count per cm^2)
	- Pore_length: Stomatal pore length (micrometers)
	- Guard_cell_width: Stomatal guard cell width (micrometers)
	- Leaf_thickness (mm)
	- Epidermal_thickness (mm)
	- Parenchyma_thickness (mm)
	- Parenchyma:Epidermis: Ratio between parenchyma and epidermal thickness
	- Reflectance: Reflectance of photosynthetically active radiation (400-700), fraction
	- Transmittance: Transmittance of photosynthetically active radiation (400-700), fraction
	- Absorptance: Absorptance of photosynthetically active radiation (400-700), fraction
	- Absorbance: Optical absorbance of photosynthetically active radiation (400-700 nm), unitless
	- g1: Medlyn-style stomatal slope calculated with Licor LI6800 data

en:
Resource Title: Scorch.csv
    Size: 129956 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/e153f13e-330e-4c0a-8cff-59e625dc7e7c/download/scorch.csv
    Description: Tree-level leaf scorching occurrence and severity data summarized by date with daily leaf thermal safety margins.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Date (MM/DD/YYYY)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Species: Tree species
	- Tleaf: Leaf temperature (degrees C) *measured by an infrared sensor integrated into the Cavicam
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C) *daily entries inherit the Tcrit measured onthe next measurement date and applied to the interval preceding it (or are forward-filled when Tcrit could not be estimated in August or September)
	- TSM: Leaf thermal safety margin (difference between Tcrit and Tleaf, in degrees C)
	- Scorch_binary: Binary indicating whether scorching occurred on that date (0 = no, 1 = yes)
	- Percent_affected: Percent of the camera window affected by scorching during a scorching event

en:
Resource Title: Environmental_Data.csv
    Size: 19996344 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/8113d780-83c8-43bd-a823-f726ad3f21ab/download/environmental_data.csv
    Description: Chamber-level abiotic data recorded every 10 minutes.

Variable List:
	- Time (MM/DD/YYYY HH:MM)
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Tair: Air temperature (degrees C)
	- Tair_sd: Standard deviation of air temperature
	- RH: Relative humidity
	- RH_sd: Standard deviation of relative humidity
	- VPD: Vapor pressure deficit (kPa)
	- Tsoil: Soil temperature (degrees C)
	- Soil_m: Volumetric soil water content (m^3/m^3)
	- PPFD: Photosynthetic photon flux density (micromoles m^-2 s^-1) *collected from a weather station next to the open-top-chambers (50% intensity inside chambers)
	- windspeed: (m/s) *collected from a weather station next to the open-top-chambers

en:
Resource Title: Gas_exchange.csv
    Size: 4424 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/df082744-69a0-49b6-81b7-c3f02d24c9f0/download/gas_exchange.csv
    Description: Leaf-level gas exchange collected diurnally for each tree on 4 days of the growing season and summarized to growing-season mean.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- E.mean: Mean transpiration rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lnE.mean: Mean of the natural log of the transpiration rate
	- lnE.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lnE.mean and Tdiff.mean

fagus-sylvatica

display_name: fagus-sylvatica

functional-traits

display_name: functional-traits

gas-exchange

display_name: gas-exchange

hot-drought

display_name: hot-drought

hydraulic-safety-margins

display_name: hydraulic-safety-margins

leaf-scorching

display_name: leaf-scorching

quercus-pubescens

display_name: quercus-pubescens

thermal-safety-margins

display_name: thermal-safety-margins

thermoregulation

display_name: thermoregulation


en:
This dataset includes measurements of lethal temperatures (LT) of buds and leaves collected in winter and spring 2025, along with phenological observations recorded during 2024–2025 in a forest plantation in Switzerland. The data were collected to assess frost tolerance and phenological timing in native and non-native tree species under current climatic conditions.
The species investigated are Abies bornmuelleriana, Abies alba, Cedrus libani, Fagus orientalis, Fagus sylvatica, Tilia tomentosa, Tilia platyphyllos, and Quercus petraea.
Publications related to original data set: https://doi.org/10.1016/j.foreco.2026.123788

en: tilia-tomentosa abies-bornmuelleriana bud-break abies-alba spring-phenophases tilia-platyphyllos frost-hardiness climate-warming frost-risk phenology quercus-petraea fagus-orientalis fagus-sylvatica cedrus-libani

envidat

en: EnviDat: the Environmental Data Portal

en: Frost hardiness and phenological events of native and non-native species in Switzerland

envi

en: Environment

en:
Resource Title: Mutrux(CH)_Frost_hardiness.csv
    Size: 29338 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/193dcaf9-38b1-49b7-9895-2aeaacbf4893/resource/db481da7-1b4f-411b-b9fd-3fb3bea25d11/download/mutruxch_frost_hardiness.csv
    Description: The dataset contains measurements of frost lethal temperatures for buds and leaves of native and non-native species in Switzerland. It also includes the geographic coordinates of the study site and information on the origin of the seed material used for the non-native species.

en:
Resource Title: Mutrux(CH)_Phenology2024-2025.csv
    Size: 17961 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/193dcaf9-38b1-49b7-9895-2aeaacbf4893/resource/4cbd7f00-42a5-4b91-95ba-25c204fac81d/download/mutruxch_phenology2024-2025.csv
    Description: The dataset contains measurements of phenological development assessed using a six-stage categorical scale, ranging from stage 0 (dormant buds with no visible development) to stage 5 (fully unfolded leaves and needles).

abies-alba

display_name: abies-alba

abies-bornmuelleriana

display_name: abies-bornmuelleriana

bud-break

display_name: bud-break

cedrus-libani

display_name: cedrus-libani

climate-warming

display_name: climate-warming

fagus-orientalis

display_name: fagus-orientalis

frost-hardiness

display_name: frost-hardiness

frost-risk

display_name: frost-risk

phenology

display_name: phenology

quercus-petraea

display_name: quercus-petraea

spring-phenophases

display_name: spring-phenophases

tilia-platyphyllos

display_name: tilia-platyphyllos

tilia-tomentosa

display_name: tilia-tomentosa


en: Photosynthetic thermal tolerance estimates for 36 tropical species following the static water bath method and measuring maximum quantum yield (Fv/Fm). Thermal tolerance assays were performed once each in near-darkness (~4 μmol photons m^-2 s^-1) and in sub-saturating light (280 μmol photos m^-2 s^-1).

en: chlorophyll-fluorescence tcrit tropical-plants irradiance thermal-tolerance photosystem-ii photoinhibition

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: Light exposure reshapes photosynthetic thermal tolerance curves, with idiosyncratic responses across 36 species.

chlorophyll-fluorescence

display_name: chlorophyll-fluorescence

irradiance

display_name: irradiance

photoinhibition

display_name: photoinhibition

photosystem-ii

display_name: photosystem-ii

tcrit

display_name: tcrit

thermal-tolerance

display_name: thermal-tolerance

tropical-plants

display_name: tropical-plants


en:
Hourly Alpine photovoltaic (PV) potential profiles for Switzerland, covering the year 2016 and spatially aggregated to two levels: Swiss alpine municipalities and the nodes of the Swiss electricity transmission grid. Six scenarios combine land suitability mask, terrain restrictions (elevation, slope, aspect), road accessibility, hazard zones, and either an elevation range or a pixel-level winter specific yield filter, providing per-pixel installed capacity and aggregated hourly generation profiles for ~713 alpine communes and ~126 transmission grid nodes.
 What is in this dataset
- **Hourly generation profiles** (`energy_yield`, in Wh) for each aggregation unit
- **Installed capacity** (`installed_capacity_mwp`, in MWp) and **pixel count** (`pixel_count`) per unit
- **Seasonal sums** (`annual_gwh`, `winter_gwh`, `summer_gwh`, in GWh) per unit
- **Polygon geometries** (`geometry`, WKT in EPSG:2056) for each aggregation unit, embedded directly in the NetCDF
- **Global attributes** recording scenario name, panel tilt, GCR method, POA mode, and PV system parameters
 Six scenarios
Scenarios vary the site-selection approach (elevation range vs. pixel-level winter specific yield threshold) and the maximum slope:
- **1. `reusser_nowy_elev1900_3300_slope40`** — slope ≤ 40°, elevation 1900–3300 m, aspect 90–270° on steep slopes, no winter-yield filter
- **2. `reusser_nowy_elev1500_4400_slope40`** — slope ≤ 40°, elevation 1500–4400 m, aspect 90–270° on steep slopes, no winter-yield filter
- **3. `reusser_nowy_elev1900_3300_slope30`** — slope ≤ 30°, elevation 1900–3300 m, aspect 90–270° on steep slopes, no winter-yield filter
- **4. `reusser_nowy_elev1500_4400_slope30`** — slope ≤ 30°, elevation 1500–4400 m, aspect 90–270° on steep slopes, no winter-yield filter
- **5. `reusser_wy500_elev100_4400_slope40`** — slope ≤ 40°, elevation 100–4400 m, all aspects, winter specific yield ≥ 500 kWh/kWp
- **6. `reusser_wy500_elev100_4400_slope30`** — slope ≤ 30°, elevation 100–4400 m, all aspects, winter specific yield ≥ 500 kWh/kWp
The four `nowy_*` scenarios use a conventional elevation range together with an aspect restriction (north-facing pixels excluded on slopes - 10 deg). The two `wy500_*` scenarios apply a pixel-level winter specific yield threshold instead.
 Methodology
A pre-computed binary exclusion raster from the [Swiss SolarWind Explorer](https://swiss-solarwind-explorer.ethz.ch/) (Reusser et al., 2025) serves as the base land suitability mask, integrating land-cover, protected-area, and biodiversity exclusions developed through extensive consultation with governmental, expert, and biodiversity stakeholders. On top of this base mask, the pipeline clips to alpine communes, removes natural hazards (level -= 2), applies a 5 km effective road distance filter (with vertical penalty), and applies scenario-specific terrain restrictions.
For each qualifying 25 m pixel, the ground-cover ratio is computed using the Bao et al. (2022) parametrization with a 60 deg panel tilt, and the hourly yield is derived from the [CH-POA300](https://www.doi.org/10.16904/envidat.632) plane-of-array irradiance dataset (300 m resolution, 5 azimuth bins). A simplified PV system model is applied (module efficiency 20%, performance ratio 0.8, bifacial factor 1.2, inter-row shading loss 10%). For scenarios with the winter yield filter, only pixels whose simulated October--March specific yield exceeds 500 kWh/kWp are retained.
 Two aggregation levels
- **commune** — Swiss alpine municipality; 713 units; source swissBOUNDARIES3D; CRS EPSG:2056
- **node** — Transmission grid Voronoi node; 126 units; source [CH-RPV300 (grid_voronoi_v2)](https://www.doi.org/10.16904/envidat.733); CRS EPSG:2056
 File format
NetCDF-4 files, one per scenario and aggregation level (12 files total). Each file is self-contained: the hourly profiles, installed capacity, seasonal sums, polygon geometries, and scenario parameters are all embedded in the NetCDF. See `data_description_v*.md` included in the dataset for the full data model, coordinate definitions, and usage examples.

en: alps snow alpine-pv renewable-energy photovoltaic

en: CH-ALPV300: Hourly Alpine-PV  Potential Profiles in Switzerland

en:
Resource Title: specs_v1.pdf
    Size: 10108273 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/216f0204-0ac5-4510-8087-e6dfc7669078/download/specs_v1.pdf
    Description: Specifications, version 1

en:
Resource Title: profiles_2016_v1.zip
    Size: 112449290 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/ecbc2326-e274-4734-9150-c394c0213a50/download/profiles_2016_v1.zip
    Description: Profiles 2016, version 1

media_type: application/zip

en:
Resource Title: data_description_v1.md
    Size: 12104 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/fb06af0f-1ac6-4d2b-ae8e-1d6950cd0413/resource/4dc40d28-c071-4463-8030-1a1661b02869/download/data_description_v1.md
    Description:

format: markdown

alpine-pv

display_name: alpine-pv

alps

display_name: alps

photovoltaic

display_name: photovoltaic

renewable-energy

display_name: renewable-energy

snow

display_name: snow


en:
We developed a monitoring system using low-cost lidar (Livox Avia) and optical sensors, to measure snow depth variations in an avalanche release area at a high spatiotemporal scale (centimeter to low decimeter spatial resolution and hourly temporal resolution). A detailed description of the setup and a first data analysis is published in:
[Ruttner, P., Voordendag, A., Hartmann, T., Glaus, J., Wieser, A., & Bühler, Y. (2024). Monitoring snow depth variations in an avalanche release area using low cost lidar and optical sensors. EGUsphere, 2024, 1-20.](https://nhess.copernicus.org/articles/25/1315/2025/)
This dataset contains hourly 3D lidar data of the snow surface at the test site Braemabuel in Davos, Switzerland from the winter season 2023-2024 (23.11.2023 - 14.04.2024). Braema1 is installed at 2191 m a.s.l. in the slope, looking up into the avalache release area, and Braema2 is installed at 2255 m a.s.l at the ridge, looking down. Both scans together cover an area of about 15000 m².
The data is in format ".las" and contains the points in XYZ [m], in the scanner own coordinate system
- scalar fields: intensity, return number, timestamp, tag, label
-- tag: binary code from Livox (see [Livox Avia Manual](https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/Livox%20Avia%20User%20Manual%20202204.pdf))
-- label: marking outliers (filtered by distance and SOR to get snow particles in the air)

en: avalanche monitoring wind-drifted-snow low-cost snow lidar

en: Snow depth mapping by lidar station Braemabuel

en:
Resource Title: Braema2
    Size: 20937965568 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema2_23_24.zip
    Description:

en:
Resource Title: Braema1
    Size: 22441204122 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.581/braema1_23_24_v2.zip
    Description:

avalanche

display_name: avalanche

lidar

display_name: lidar

low-cost

display_name: low-cost

monitoring

display_name: monitoring

wind-drifted-snow

display_name: wind-drifted-snow


en:
Hourly rooftop photovoltaic (RPV) power generation profiles for Switzerland, covering 12 weather years (2008--2019) and spatially aggregated to the nodes of the Swiss electricity transmission grid. The dataset resolves 48 orientation and tilt combinations, five installation size classes, and three flat roof design scenarios per grid node, providing approximately 8,550 distinct candidate RPV generators nationwide.
 What is in this dataset
- **Hourly generation profiles** (`power`, in Wh) for each grid node, roof orientation, and tilt bin
- **Installed capacity** (`Wp`, in Wp) broken down by size class (1--10, 10--30, 30--100, 100--300, 300--1000 kWp)
- **Normalized capacity factor profiles** (`specificPower`, in Wh/Wp) enabling scaling to arbitrary deployment levels
- **Voronoi grid shapefiles** defining the spatial aggregation zones around each transmission node.
 Flat roof scenarios
Flat roofs (~23% of Swiss roof area) allow different module configurations. Three scenarios are included:
- **Winter** — South-facing, 35° tilt, GCR 0.45 — optimizes winter yield (Oct–Mar)
- **Annual** — South-facing, 15° tilt, GCR 0.70 — optimizes annual yield
- **Flat-EW** — East-West alternating, 15° tilt, GCR 1.04 — maximizes total installed capacity
Tilted roofs (tilt - 0) are identical in all three scenarios.
 Methodology
Generation profiles are derived from satellite-based hourly surface solar radiation data (HelioMont), downscaled to 300 m resolution using the NASADEM digital elevation model with terrain-scale shading and ground reflection ([CH-POA300](https://www.doi.org/10.16904/envidat.632)). The national roof inventory Sonnendach (v1.5) provides orientation, tilt, and area for over 10 million roof surfaces. A simplified PV system model (module efficiency 20%, performance ratio 0.8, roof cover factor 0.7) converts irradiance to AC power output. Only roofs with an installed capacity -= 1 kWp are included.
 Two grid versions
- **v1** —  135 nodes, CRS EPSG:21781
- **v2** —  126 nodes, CRS EPSG:21781
 File format
NetCDF-4 files, one per year and scenario. See `DATA_DESCRIPTION.md` included in the dataset for the full data model, coordinate definitions, and usage examples.

en: renewable-energy energy-transition photovoltaic rooftop-pv solar-energy

envidat

en: EnviDat: the Environmental Data Portal

en: CH-RPV300: Hourly Rooftop-PV Potential Profiles in Switzerland

envi

en: Environment

en:
Resource Title: profiles_grid_v2.zip
    Size: 4531190497 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/d6a43092-bdce-4e14-a182-8c37e53b5f65/download/profiles_grid_v2.zip
    Description: This archive contains the RPV profiles aggregated using the second version (v2) of the transmission grid, also included.

en:
Resource Title: profiles_grid_v1.zip
    Size: 5894842614 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/4e34b9ac-b8d5-408f-b9e0-70a559e44a2b/download/profiles_grid_v1.zip
    Description: This archive contains the RPV profiles aggregated using the first version (v1) of the transmission grid, also included.

en:
Resource Title: DATA_DESCRIPTION.md
    Size: 7762 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/73f6cac8-6a0e-469b-8eed-a9e7fcd75bb8/resource/78340283-abd2-48e0-82aa-57707c46dc93/download/data_description.md
    Description:

energy-transition

display_name: energy-transition

rooftop-pv

display_name: rooftop-pv

solar-energy

display_name: solar-energy


en:
This repository contains all observational data sets used for the paper:
Sophia Etzold, Arun K. Bose, Arthur Gessler, Frank Krumm, Katrin Meusburger, Marcus Schaub, Anne Thimonier, Peter Waldner, Roman Zweifel (2026): Decreasing water availability reduces productivity in Swiss forests along an altitudinal gradient, Functional Ecology, https://doi.org/xxxxx.
**Dataset 1**: This dataset contains inventory measurements of individual trees, i.e. species, tree status, DBH (diameter at breast height), height, and BAI (Basal area increment).
**Dataset 2**: This dataset contains plotwise aggregated BAI and NPP data per inventory period, as well as stand and soil properties of the site (N trees, QMD, SDI, meanDBH, foliar N and foliar P, N deposition, LAI, main species) and meteorological parameters (deviation of T, Psum and SWP during vegetation period).
**Dataset 3**: This dataset contains site-specific properties (altitude, age in 2000, main species, Tmean long-term, Psum long-term, soil pH, soil C/N).
**Dataset 4**: This dataset contains annually resolved relative NPP data, based on inventory data (Dataset 2) and annual circumference measurements of individual trees, as well as relative annual Tmax and SWP.

en: dendrometer forest-productivity tree-growth drought-stress carbon-sequestration

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: Dataset  Article “Decreasing water availability reduces productivity in Swiss forests along an altitudinal gradient” Etzold et al.

en:
Resource Title: 4_Annual_NPP_plot.csv
    Size: 98038 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/24458cd4-2a47-45fb-b201-acfb65b186f1/download/4_annual_npp_plot.csv
    Description: #4: Annual NPP per plot
Site: Site name
Subplot: Subplot name
Year
NPPyr_rel: Annual Net Primary Productivity of the stand in relation to long-term mean in [%]
SWP_rel: Mean soil water potential during vegetation period in relation to long-term mean in [%]
Tmax_rel: Maximum temperature during vegetation period in relation to long-term mean in [%]

en:
Resource Title: 2_Plotdata_Inventory_NPP_BAI.csv
    Size: 65526 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/05b47422-7f82-45ce-a545-5c6cb14449e6/download/2_plotdata_inventory_npp_bai.csv
    Description: #2: Plotdata_NPP_BAI
Site: Site name
Subplot: Subplot name
INVYEAR: Assigned Year to Inventory (mean over all plots)
INVNR: Inventory number
Csum.yr.gm2: Carbon uptake by growth in [gC/m2/yr]
BAI.yr.m2ha: Basal area increment in [m2/ha/yr]
Ntrees.ha: Number of trees per ha in [N/ha]
QMD: Quadratic mean diameter of all trees in [cm]
SDI: Reineke's Stand density index [-]
meanDBH_plot: mean DBH of all trees per plot in [cm]
LAI: Leaf area index of plot in [m2/m2]
Ndep: total Nitrogen deposition in [kg N/ha/yr]
foliarN_rel: relative foliar N concentration in [%]
foliarP_rel: relative foliar P concentration in [%]
meanT.veg: mean temperature during vegetation period in [°C]
Psum.veg: mean precipitation sum during vegetation period in [mm]
meanSWP.veg: mean soil water potential during vegetation period in [kPa]
dTemp.veg: annual deviation of mean temperature from long-term mean in [%]
dPsum.veg: annual deviation of precipitation sum from long-term mean in [%]
dSWP.veg: annual deviation of mean soil water potential from long-term mean in [%]

en:
Resource Title: 3_Site_properties.csv
    Size: 1011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/62395d0d-330e-4d35-a022-ca8a47a501fd/download/3_site_properties.csv
    Description: #3: Site properties
Site: Site name
Altitude: in [m a.s.l.]
Age_in_2000: Estimated stand age in the year 2000 in [years]
Main_species: Dominant species of the stand
meanT_long: long-term (1995-2020) mean temperature during vegetation period in [°C]
Psum_long: long-term (1995-2020) mean precipitation sum during vegetation period in [mm]
soil_CN: C/N ratio of the soil
soil_pH: PH of the soil

en:
Resource Title: 1_Treedata_Inventory_BAI.csv
    Size: 3816817 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1388bc90-9e07-4a1e-a3a9-144d319e492a/resource/47d47817-4612-44bc-9f36-c1f2195d015b/download/1_treedata_inventory_bai.csv
    Description: #1: Treedata_BAI
Site: Site name
Subplot: Subplot name
Treenr: Tree number
SPECIES: Species name
Start.Year: First Year of Inventory
End.Year: Last Year of Inventory
DBH.tree: Diameter at breast height (1.3m) in [cm]
DBH.class: Category of DBH: 'sub': <12cm, '1':small, '2':medium, '3': large
Height: tree height in [m]
Treestatus: Status of tree: '1': alive, '0': dead
BAIyr: Annual basal area increment of tree in [cm2/yr]

carbon-sequestration

display_name: carbon-sequestration

dendrometer

display_name: dendrometer

drought-stress

display_name: drought-stress

forest-productivity

display_name: forest-productivity

tree-growth

display_name: tree-growth


distributed-acoustic-sensing-brienz

en:
This dataset contains the Distributed Acoustic Sensing (DAS), radar detection data used for training and result analysis in the GRL paper titled `Automatic Monitoring of Rock-Slope Failures Using Distributed Acoustic Sensing and Semi-Supervised Learning`.
The DAS dataset (both waveform and cross-spectral density matrices), extracted features, labeled dataset, two trained models (feature extraction model and xgboost classification model), scripts to reproduce the whole training and classification processes, and a notebook to replicate the result analysis part are provided under the MIT license. To provide a reasonable data size, we chunked the raw data to a few hundred channels which we used in our project.
Abstract:
Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi-supervised neural network tailored to screen DAS data related to a series of rock collapses leading to a major failure of approximately 1.2 million cubic meters on 15 June 2023 in Brienz, Eastern Switzerland. Besides DAS, the dataset from 16 May to 30 June 2023 includes Doppler radar data for partially ground-truth labeling. The proposed algorithm is capable of distinguishing between rock-slope failures and background noise, including road and train traffic, with a detection precision of over 95%. It identifies hundreds of precursory failures and shows sustained detection hours before and during the major collapse. Event size and signal-to-noise ratio (SNR) are the key performance dependencies. As a critical part of our algorithm operates unsupervised, we suggest that it is suitable for general monitoring of natural hazards.

en: landslide early-warning machine-learning seismic rockfall natural-hazard

en: Distributed Acoustic Sensing Brienz

title_for_slug: distributed-acoustic-sensing-brienz

early-warning

display_name: early-warning

landslide

display_name: landslide

machine-learning

display_name: machine-learning

natural-hazard

display_name: natural-hazard

rockfall

display_name: rockfall

seismic

display_name: seismic


en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).
Please refer to the Readme file for further details on the data.
These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

en: snowpack snow-stability-evaluation avalanche-forecast avalanche snow

envidat

en: EnviDat: the Environmental Data Portal

en: Validating and improving the critical crack length in SNOWPACK

en:
Resource Title: Manually observed snow profiles
    Size: 27333 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/74bf515b-cd6b-4e97-be6d-4356f0af6d3d/download/manual_snow_profiles.zip
    Description: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

en:
Resource Title: Extracted data
    Size: 197562 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/42774021-73e4-49b2-a714-b192a0e3cc14/download/extracted_data.zip
    Description: Extracted data contain validation and results published in Richter et al. (2019).

en:
Resource Title: README
    Size: 18771 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/b6cfb0c3-2bb3-4fa1-859d-5861983aa785/download/readme.txt
    Description: README file explaining data structure and content

en:
Resource Title: SNOWPACK simulations
    Size: 21903741 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/6b0dc93f-34d1-48e2-bf69-3f9254e34692/download/snowpack.zip
    Description: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en:
Resource Title: Stability tests
    Size: 6975 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/98cbbb6e-bfad-4b71-b920-e3def95143d3/download/stability_tests.zip
    Description: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow

display_name: snow

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack


en:
Continuous stem radius measurements to investigate carbon balance and water relations of trees
 Purpose:
Assessment of growth and water related stem changes

en: icp-forests tree-growth stem-diameter swiss-forest-lab long-term-forest-ecosystem-research

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: Automated point dendrometer measurements at LWF sites

envi

en: Environment

format: HTML

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

stem-diameter

display_name: stem-diameter

swiss-forest-lab

display_name: swiss-forest-lab


en:
These data include all avalanches that were mapped in the region of Davos, Switzerland during the winters 1998-1999 to 2018-2019 (21 years), in total 13,918 avalanches, and the corresponding forecast danger level valid on the day of avalanche occurrence, 3533 days and danger ratings in total.
This avalanche activity data set was analysed and results published by Schweizer et al. (2020). They found that the
number of avalanches per day strongly increased with increasing danger level, but avalanche size was poorly related  to avalanche danger level.
The data are provided in two files: the first includes the avalanche data (13,918 records); the second includes the avalanche activity per day (3533 records).
Please refer to the Read-me file for further details on the data.
These data are the basis of the following publication:
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A. and Reuter, B., 2020. On the relation between avalanche occurrence and avalanche danger level. The Cryosphere, 14, 737-750, https://doi.org/10.5194/tc-14-737-2020.

en: avalanche-forcasting snow-avalanche avalanche-size danger-level avalanche-activity

en: Snow avalanche data Davos, Switzerland, 1999-2019

en:
Resource Title: Avalanche activity data
    Size: 929518 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ce11efbe-4dac-4ff5-9a3d-f01e2c573292/resource/39e6dd9e-9b52-439e-a4d1-5e17a8e18eca/download/data_set_2_danger_avalanches.csv
    Description: This data file includes data on the avalanche activity per day aggregated from the avalanche data.

en:
Resource Title: Readme
    Size: 159745 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/ce11efbe-4dac-4ff5-9a3d-f01e2c573292/resource/f8d6835f-3ef6-4fe6-94a2-6b7f7b5827ce/download/read_me.pdf
    Description: The Readme file contains the description of the two data files.

en:
Resource Title: Snow avalanche data
    Size: 936455 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ce11efbe-4dac-4ff5-9a3d-f01e2c573292/resource/4c2b7c38-a874-45fc-9833-fdf83823067b/download/data_set_1_avalanche_observations_wi9899_to_wi1819_davos.csv
    Description: This data file includes data on the avalanches mapped in the region of Davos.

avalanche-activity

display_name: avalanche-activity

avalanche-forcasting

display_name: avalanche-forcasting

avalanche-size

display_name: avalanche-size

danger-level

display_name: danger-level

snow-avalanche

display_name: snow-avalanche


en:
Two stem core samples of 10 trees outside the plot of each main species in the plot were taken at breast height (1.3 m above ground) with a SUUNTO corer. Tree ring width and density were determined with the instruments CATRAS and TSAP, the Densitometer DENDRO 2003 and a stereo-microscope. The selected trees included at least 10 pre-dominant or dominant trees.
 Purpose:
N and C stable isotope signals
 Paper Citation:
 * Tomlinson, G., Siegwolf, R.T.W., Buchmann, N., Schleppi, P., Waldner, P., Weber, P., 2014. The mobility of nitrogen across tree-rings of Norway spruce (Picea abies L.) and the effect of extraction method on tree-ring d15N and d13C values. Rapid Commun. Mass Spectrom. 28, 1258-1264.

en: long-term-forest-ecosystem-research dominant-trees dendrochronology tree-ring-width swiss-forest-lab stable-isotopes icp-forests

envidat

en: EnviDat: the Environmental Data Portal

en: Dendrochronological analyses of tree core samples (IsoN) adjacent to LWF sites

dendrochronology

display_name: dendrochronology

dominant-trees

display_name: dominant-trees

stable-isotopes

display_name: stable-isotopes

tree-ring-width

display_name: tree-ring-width


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

en: wetlands connectivity conservation landscape amphibians occupancy-models

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

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

media_type: text/html

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

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

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

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

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

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

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

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

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

en:
Resource Title: Model code 2
    Size: 46506 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/27deb8d2-b414-4331-92f0-f988f1979516/download/runmodels2.rmd
    Description: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the second associated publication, including JAGS code for the fitted models.

format: OCTET

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

amphibians

display_name: amphibians

connectivity

display_name: connectivity

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands


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

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

envidat

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

en: EnviDat: the Environmental Data Portal

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

envi

en: Environment

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

en:
Resource Title: S3 2015
    Size: 765677 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/9e551281-5120-4041-860e-8d2fc911c9dd/download/s3-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

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

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

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

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

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

en:
Resource Title: Output explanation
    Size: 17405 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/c97df0fe-0691-4123-9d12-73909311f289/download/outputexplanation.xlsx
    Description:

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

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

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

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

en:
Resource Title: S4 2015
    Size: 764023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/3e7cd0af-60cb-4026-8e8f-7c0736c45f5b/download/s4-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

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

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

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

format: PNG

media_type: image/png

dischmex

display_name: dischmex

eddy-covariance-measurements

display_name: eddy-covariance-measurements

patchy-snow-covers

display_name: patchy-snow-covers

snow-patch

display_name: snow-patch

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes


en:
Environmental DNA complements scientific trawling in surveys of marine fish biodiversity (Dataset 2020)
In October 2020 we chose 16 sites from the 2020 EVHOE survey for eDNA sampling. The French international EVHOE bottom trawl survey is carried out annually during autumn in the BoB to monitor demersal fish resources. All sites were located on the continental shelf (26–170 m depth), except one on the upper slope with a depth of 1045 m. To perform eDNA sampling, we collected water samples at 15 sites (Figure 1a). At each site, we sampled seawater using Niskin bottles deployed with a circular rosette. There were nine bottles on the rosette, each of them able to hold ∼5 l of water. At each site, we first cleaned the circular rosette and bottles with freshwater, then lowered the rosette (with bottles open) to 5 m above the sea bottom, and finally closed the bottles remotely from the boat. The 45 l of sampled water was transferred to four disposable and sterilized plastic bags of 11.25 l each to perform the filtration on-board in a laboratory dedicated to the processing of eDNA samples. To speed up the filtration process, we used two identical filtration devices, each composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 l min–1 ), a VigiDNA 0.20 μm filtration capsule (SPYGEN, le Bourget du Lac, France), and disposable sterile tubing. Each filtration device filtered the water contained in two plastic bags (22.5 l), which represent two replicates per sampling site. We followed a rigorous protocol to avoid contamination during fieldwork, using disposable gloves and single-use filtration equipment and plastic bags to process each water sample. At the end of each filtration, we emptied the water inside the capsule that we replaced by 80 ml of CL1 conservation buffer and stored the samples at room temperature following the specifications of the manufacturer (SPYGEN, Le Bourget du Lac, France). We processed the eDNA capsules at SPYGEN, following the protocol proposed by Polanco-Fernández et al., (2020). We performed library preparation and sequencing at Fasteris (Geneva, Switzerland). Specifically, we prepared four libraries using the MetaFast protocol (a ligation-based method) and sequenced them separately. We carried out paired-end sequencing using a MiSeq sequencer (2 × 125 bp, Illumina, San Diego, CA, USA) on two MiSeq Flow Cell Kits (v3; Illumina), following the manufacturer’s instructions. We analysed the sequence reads using the OBITools package (http:
//metabarcoding.org/obitools; Boyer et al., 2016), following the protocol described by Valentini et al. (2016).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: atlantic-region teleo bay-biscay actinopterygii edna fish-composition dna-metabarcoding chondrichthyes

envidat

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

en: EnviDat: the Environmental Data Portal

en: Environmental DNA Marine France Evhoe 2020

envi

en: Environment

actinopterygii

display_name: actinopterygii

atlantic-region

display_name: atlantic-region

bay-biscay

display_name: bay-biscay

chondrichthyes

display_name: chondrichthyes

dna-metabarcoding

display_name: dna-metabarcoding

edna

display_name: edna

fish-composition

display_name: fish-composition

teleo

display_name: teleo


leaf-area-index-lai-lwf

en:
Leaf area index (LAI), defined as the total one-sided foliage area per unit ground surface area, is one of the most important characteristics of plant canopy structure. Leaves are the active interface between the atmosphere and the ecosystem. Thus, LAI affects many ecosystem processes, including light and precipitation interception, evapotranspiration, CO2 fluxes and dry deposition. LAI was measured repeatedly in the period 1996-2013 at 18 LWF plots using 1) a LAI-2000 plant canopy analyser (Licor, Inc) and 2) hemispherical photographs of the canopy. Measurements were performed above the 16 vegetation quadrats in the 43 m x 43 m intensive monitoring subplot. In 1996-2003, LAI measurements were usually carried out on the same day as the vegetation surveys. It is also planned to characterise the potential light conditions (diffuse and direct) using the hemispherical photographs of the canopy.
 Purpose:
1) To estimate an important structural parameter of the forest stand, which is needed as an input variable in most ecosystem process models simulating carbon and water cycles on a stand or regional scale; and 2) to document changes in the canopy structure, and thus in light conditions, which may be responsible for changes in ground vegetation
 Manual Citation:
 * Thimonier, A., 1997. Kapitel C6. Blattflächenindex (LAI), in: Brang, P. (Ed.), Aufnahmeanleitungen aller Forschungsprojekte auf Flächen der Langfristigen Waldökosystem-Forschung (LWF). Eidg. Forschungsanstalt WSL, Birmensdorf, pp. 1-5.
 *  Thimonier, A., 1997. Kapitel C7. Lichtverhältnisse im Wald, in: Brang, P. (Ed.), Aufnahmeanleitungen aller Forschungsprojekte auf Flächen der Langfristigen Waldökosystem-Forschung (LWF). Eidg. Forschungsanstalt WSL, Birmensdorf, pp. 1-4.
 *  Fleck  S,  Raspe  S,  Cater  M,  Schleppi  P,  Ukonmaanaho  L,  Greve  M,  Hertel  C,  Weis  W,  Rumpf,  S.,  Thimonier, A., Chianucci, F., Beckschäfer, P., 2016: Part XVII: Leaf Area Measurements. In: UNECE ICP Forests  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria  for  harmonized  sampling,  assessment,  monitoring  and  analysis  of  the  effects  of  air  pollution  on  forests.  Thünen  Institute    of    Forest    Ecosystems,    Eberswalde,    Germany,    34    p.    +    Annex    [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)
 Paper Citation:
 * Thimonier A, Kull P, Keller W, Moser B, Wohlgemuth T (2011) Ground vegetation monitoring in Swiss forests: comparison of survey methods and implications for trend assessments. Environmental Monitoring and Assessment, 174: 47-63. [doi: 10.1007/s10661-010-1759-y](https://doi.org/10.1007/s10661-010-1759-y)
 *  Thimonier A, Sedivy I, Schleppi P (2010) Estimating leaf area index in different types of mature forest stands in Switzerland: a comparison of methods. European Journal of Forest Research, 129 (4): 543-562. [10.1007/s10342-009-0353-8](https://doi.org/10.1007/s10342-009-0353-8)

en: icp-forests foliage leaf-area-index swiss-forest-lab long-term-forest-ecosystem-research

en: Leaf area index (LAI) LWF

title_for_slug: leaf-area-index-lai-lwf

foliage

display_name: foliage

icp-forests

display_name: icp-forests

leaf-area-index

display_name: leaf-area-index

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

swiss-forest-lab

display_name: swiss-forest-lab


snow-drift-station-snow-and-air-data

en: Snow and air data was monitored at Gotschnagrat (LON: 46.859 LAT: 9.849) by an infrarot radiometer (Campbell SI-111) for snow temperature (°C), a snow height sensor (Lufft SHM-31) for snow height change (cm) and a temperature and humidity sensor (Campbell CS-215) for air temperature (°C) and relative humidity (%). No filter was applied to the sensors and the smapling frequency was 1 Hz.

en: snow-temperature snow-depth snow-height snow raclets temperature

en: Snow Drift Station - Snow and Air Data

title_for_slug: snow-drift-station-snow-and-air-data

en:
Resource Title: Relative Humidity
    Size: 991506 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/64062bd7-0d09-4038-95cc-1028e196698e/download/air_relative_humidity.xlsx
    Description: The relative humidity (%) was measured with a Campbell CS-215 at a height of 2.2 m above ground. The time is given in UTC+1.

en:
Resource Title: Snow Depth
    Size: 830403 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/50a2778f-14cd-4871-a9cc-67c1a4d1b31d/download/snow_depth.xlsx
    Description: The snow depth (cm) was measured with a Lufft SHM-31 which was mounted at 1.7 m above ground. The time is given in UTC+1.

en:
Resource Title: Air Temperature
    Size: 1049937 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/78d7e676-0f61-45a9-9dcf-67d0404e5382/download/air_temperature.xlsx
    Description: The air temperature (°C) was measured with a Campbell CS-215 which was mounted at a height of 2.2 m above ground. The time is given in UTC+1.

en:
Resource Title: Snow Surface Temperature
    Size: 1101244 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/c589c4cf-9f53-4d76-b1df-bae465ddda1f/resource/7a1b830b-a1a2-42b8-8789-915904920f54/download/snow_surface_temperature.xlsx
    Description: The snow surface temperature (°C) was measured with a Campbell SI-111 at 0.7 m above ground. The time is given in UTC+1.

raclets

display_name: raclets

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-temperature

display_name: snow-temperature

temperature

display_name: temperature


en: Data of a survey of flowering plants in 80 sites in five European cities and urban agglomerations (Antwerp, Belgium; greater Paris, France; Poznan, Poland; Tartu, Estonia; and Zurich, Switzerland) sampled between April and July 2018.

en: urban poznan plants zurich angiospermae floral-resources paris floral-inventories antwerp tartu

en: Flowering Plants (Angiospermae) in Urban Green Areas in five European Cities

en:
Resource Title: Floral_Traits.csv
    Size: 248377 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/31270de2-4fe9-416f-b0c0-5d871505aec9/download/floral_traits.csv
    Description: Trait values for the sampled plants

en:
Resource Title: Floral_1_occurrence.csv
    Size: 1535390 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/3c30a1f0-d0c3-4323-891b-646f3d94378f/download/floral_1_occurrence.csv
    Description: List of plant species sampled in the five cities (Antwerp, Paris, Poznan, Tartu and Zurich) during the different sampling perionds (four for Zurich, three for the other cities) with their frequency (oc1-oc16) within a 100 m radius

en:
Resource Title: Floral_2_counts.csv
    Size: 260871 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/380c0645-2665-4f9e-a8a1-bcc75bc714b8/download/floral_2_counts.csv
    Description: Floral units, mean number of flowers per floral unit and floral abundance of the different plants counted in quadrats in the study sites in Zurich during the four sampling periods

angiospermae

display_name: angiospermae

antwerp

display_name: antwerp

floral-inventories

display_name: floral-inventories

floral-resources

display_name: floral-resources

paris

display_name: paris

plants

display_name: plants

poznan

display_name: poznan

tartu

display_name: tartu

urban

display_name: urban

zurich

display_name: zurich


en:
This repository contains anonymised survey data, choice experiment material, and R code from a multilingual online survey of chocolate consumers in Switzerland conducted in June 2024. The survey was fielded in German, French, and Italian through Bilendi Schweiz AG within the [Deliberative Diets](https://www.deliberative-diets.net/) research project at the [Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)](https://www.wsl.ch/en/), funded by the Swiss National Science Foundation.
The survey included questions on chocolate purchasing behavior, attitudes and beliefs regarding ethically produced chocolate, socio-demographic characteristics, and a discrete choice experiment on chocolate tablet attributes. The choice experiment elicited preferences over product profiles varying by label, cocoa distribution channel, environmental impact of cocoa cultivation, place of chocolate production, and price premium.
The repository underlies three related studies based on the same empirical survey. The first is [Towards an ethical chocolate supply chain: Matching Swiss consumer preferences with policy instruments](https://doi.org/10.1016/j.clrc.2025.100376), which uses the survey’s discrete choice experiment to derive a respondent-level behavioral proxy of ethical chocolate choice. The second study uses this proxy together with survey-based psychological constructs to analyse ethical consumption intentions, behavior, and policy support among Swiss chocolate consumers. The third study examines how Swiss consumers respond to disclosed supply-chain governance cues and how these preferences vary with latent psychological dispositions and feasibility constraints.
The archived materials are intended to support transparency and reproducibility. They include an anonymised master dataset, documentation of the choice experiment design, survey materials, and R scripts for preparing article-specific analytical datasets and reproducing the reported analyses.

en: policy-support switzerland ethical-consumption chocolate-consumers survey governance discrete-choice supply-chain r-code

envidat

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

en: EnviDat: the Environmental Data Portal

en: Survey data and R code for a choice experiment on ethical chocolate consumption and supply-chain governance in Switzerland

envi

en: Environment

en:
Resource Title: 02_analysis_j.foodqual_2025.R
    Size: 23009 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/ee48ae36-1930-49a3-a110-663aba662705/download/02_analysis_j.foodqual_2025.r
    Description: R script used for descriptive analysis, factor analysis, invariance testing, and structural equation modelling for the study on ethical consumption intentions, behaviour, and policy support.

en:
Resource Title: 01_analysis_j.clrc_2025.R
    Size: 12155 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/fda6ccf3-e242-45ad-95ed-2356cd31b99a/download/01_analysis_j.clrc_2025.r
    Description: R script used to estimate the latent class model for the study on consumer preferences and policy-relevant ethical chocolate supply-chain profiles.

en:
Resource Title: README_code.txt
    Size: 2345 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/2bf8c430-396d-4737-acc6-5973a2b9742c/download/readme_code.txt
    Description: Overview of the archived R code, including script purposes, software requirements, input data, and notes on reproducibility.

en:
Resource Title: 03_analysis_j.ecolecon_2026.R
    Size: 20275 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/f656f988-4682-4426-94a4-365896afe226/download/03_analysis_j.ecolecon_2026.r
    Description: R script used to estimate the integrated choice and latent variable model and willingness-to-pay analyses for the study on supply-chain governance cues and consumer constraints.

en:
Resource Title: chocolate_survey_master.csv
    Size: 2537554 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/f7608398-ab56-46e8-98c9-c87af8fcc045/download/chocolate_survey_master.csv
    Description: Anonymised master dataset from a multilingual online survey of chocolate consumers in Switzerland conducted in June 2024, including discrete choice experiment responses, questionnaire measures, and derived analysis variables.

en:
Resource Title: survey_questionnaire_documentation.pdf
    Size: 83651 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/4ea70b5f-3feb-4d94-8642-18673ea1cfd5/download/survey_questionnaire_documentation.pdf
    Description: Documentation of the archived survey instrument, including questionnaire flow, thematic blocks, response scales, and the structure of the embedded discrete choice experiment.

en:
Resource Title: chocolate_survey_master_codebook.xlsx
    Size: 24484 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/4479b4d0-3223-4ee0-9ee2-618791ecf6c1/download/chocolate_survey_master_codebook.xlsx
    Description: Codebook for the master dataset, including variable names, coding, labels, and mappings needed to interpret the deposited survey and choice experiment data.

en:
Resource Title: README.txt
    Size: 5007 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/e96b8b22-1e6b-43f4-8440-08fd7900ea0c/download/readme.txt
    Description: Overview of the deposited repository, including study context, data structure, included files, related studies, and guidance for reuse of the anonymised survey data and documentation.

en:
Resource Title: choice_experiment_design_documentation.txt
    Size: 2253 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/5a2b1682-ea30-4711-920b-57caba9dd813/download/choice_experiment_design_documentation.txt
    Description: Documentation of the discrete choice experiment design, including task structure, attribute levels, blocking, and design generation procedure.

en:
Resource Title: session_info.txt
    Size: 18749 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/53407b1f-c042-4eb8-93c1-bb9119a93772/resource/3d450f72-1099-4657-a53d-7c717972dba7/download/session_info.txt
    Description: Output file documenting the R version, platform, locale, attached packages, and installed package versions used for the archived analyses.

chocolate-consumers

display_name: chocolate-consumers

discrete-choice

display_name: discrete-choice

ethical-consumption

display_name: ethical-consumption

governance

display_name: governance

policy-support

display_name: policy-support

r-code

display_name: r-code

supply-chain

display_name: supply-chain

survey

display_name: survey

switzerland

display_name: switzerland