en:
Reference Elevation Model of Antarctica (REMA) topography and AntarcticaLC2000 landuse data
are now available as static data input for the Weather Research and Forecasting model (WRF). Topography
and landuse are made available at a spatial resolution of 1 km. This documentation describes the methods
applied to convert REMA and AntarcticaLC2000 to WRF readable format and shows how this improves
the representation of the Antarctic topography and landuse categories over coastal Antarctic regions.

en: antarctica landuse topography wrf cryowrf

en: REMA topography and AntarcticaLC2000 for WRF

de:
Resource Title: Documentation
    Size: 2136909 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/886f1b73-459a-4d41-aca5-0af9dc86ae7b/resource/ddb02d97-7e22-4aca-ab56-29f57ef2ad8e/download/documentation_rema_antarcticalc2000.pdf
    Description: Documentation about how the provided dataset was produced including details to reproduce the dataset.

de:
Resource Title: WPSinput
    Size: 15462767 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/886f1b73-459a-4d41-aca5-0af9dc86ae7b/resource/13f9afab-ef62-4454-965f-19b3e6288cc7/download/wpsinput.zip
    Description: Input files to run the Weather Research and Forecasting model (WRF) preprocessing system WPS with REMA topography and AntarcticaLC2000 landuse data (see Documentation for details).

de:
Resource Title: Scripts
    Size: 24621 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/886f1b73-459a-4d41-aca5-0af9dc86ae7b/resource/97db282f-c028-4d1e-8bf9-6cda65aa5f7a/download/scripts.zip
    Description: Scripts to run the preprocessing to produce WRF binary tiles from REMA and AntarcticaLC2000 for topography and landuse (see Documentation for procedure).

antarctica

display_name: antarctica

cryowrf

display_name: cryowrf

landuse

display_name: landuse

topography

display_name: topography

wrf

display_name: wrf


$oid: OBSOLETE

en:
Simulated net primary productivity (NPP) anomalies (percent deviation) in 1961-2018 years relative to the 1961–1990 reference period for _Picea abies_ and _Fagus sylvatica_. NPP was simulated for the species' potential distribution range in Switzerland on a 1 × 1 km grid using 3-PG model.
We first assimilated nearly 800 observation years from 271 permanent long-term forest monitoring plots across Switzerland, obtained between 1980 and 2017, into the 3-PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from.
We then estimated the NPP anomalies by first simulating the growth of _P. abies_ and _F. sylvatica_ monocultures with the average climate observed during the 1961–1990 period, until the age of 40 years (spin-up). The stands were simulated starting as 2-year-old plantations with an initial density of 10,000 trees/ha. Thinning was performed at age 20 and 35 to reach a final density of ca. 1,000 trees/ha at age 40. We then simulated 30 years forced by monthly resolved climatic data from either the 1961–1990 (reference, according to MeteoSwiss) or the 1991–2018 period. We neglected the first 40 years of simulations due to high variation in productivity caused by early stage stand development. To study the impact of climate extremes on NPP, we focused on the deviation in NPP (expressed in percentage difference from the reference period) during the 30 year period (age 41–70).

en: growth forest npp dvm assimilation

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Net primary productivity (NPP) anomalies simulated by 3-PG model for Switzerland

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: ZIP

assimilation

display_name: assimilation

dvm

display_name: dvm

forest

display_name: forest

growth

display_name: growth

npp

display_name: npp


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

de:
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

format: CSV

media_type: text/csv

de:
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

de:
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

de:
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

de:
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

de:
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

de:
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

de:
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

de:
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

de:
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

de:
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.

de:
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.

de:
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

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

envidat

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

en: Validating and improving the critical crack length in SNOWPACK

de:
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).

media_type: application/zip

de:
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.

de:
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.

de:
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

de:
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.

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: The WFJ_ICE_LAYERS dataset contains multi-instrument snowpack measurements at high temporal resolution, which enable to monitor the formation of deep ice layers due to preferential water flow, at the Weissfluhjoch research site, Davos, Switzerland. It covers the winter 2016/2017, with a focus on the early melting season. This dataset includes traditional snowpack profiles (weekly resolution, 15/11/2016-29/05/2017), SnowMicroPen penetration resistance profiles (daily resolution, 01/02/2017-19/04/2017), snow temperatures measured at different heights in the snowpack (half-hourly resolution, 01/03/2017-15/04/2017) and the water front height derived from an upward-looking ground penetrating radar (3-hour resolution, 04/03/2017-08/04/2017). The measurements are complemented by initialization files for SNOWPACK model simulations with the ice reservoir parameterization at Weissfluhjoch for the winter 2016/2017.

en: snowmicropen water-front snow-temperature snow-stratigraphy weissfluhjoch ice-layers

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: WFJ_ICE_LAYERS: Multi-instrument data for monitoring deep ice layer formation in an alpine snowpack

envi

de: Umwelt

de:
Resource Title: README
    Size: 476 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/2bf03a26-ee90-4e13-8ed0-63fbfada5733/resource/55d88599-ae7a-4ba6-af25-9544893de2be/download/readme.txt
    Description:

de:
Resource Title: WFJ_ICE_LAYERS dataset
    Size: 4289873 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2bf03a26-ee90-4e13-8ed0-63fbfada5733/resource/06794e9d-cbac-4a14-9d3b-a06f7f6c2061/download/wfj_ice_layers_dataset.zip
    Description:

ice-layers

display_name: ice-layers

snow-stratigraphy

display_name: snow-stratigraphy

snow-temperature

display_name: snow-temperature

snowmicropen

display_name: snowmicropen

water-front

display_name: water-front

weissfluhjoch

display_name: weissfluhjoch


en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario.  The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

en: snowpack snow-instability global-sensitivity-analysis numerical-avalanche-forecasting snow-cover-modeling

en: Sensitivity of modeled snow instability

de:
Resource Title: Manually observed snow profiles
    Size: 12725 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/5bd23cea-d4e3-4f87-8b0c-bfa3dc82afec/download/manual_profiles.zip
    Description: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

de:
Resource Title: Reference run
    Size: 9909880 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/7eb0f753-02d2-4592-b822-cf91745ea196/download/reference.zip
    Description: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

de:
Resource Title: Case ALL
    Size: 346790131 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/fd47ae3d-77a9-4f79-8c95-57b11de523bb/download/case_all.zip
    Description: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

de:
Resource Title: Case WL
    Size: 342942228 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/84ee8947-54aa-40d6-86bb-b6e0ffc14d25/download/case_wl.zip
    Description: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

de:
Resource Title: Case SL
    Size: 277264559 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/7635f568-e96c-4901-a385-c369150aaad6/download/case_sl.zip
    Description: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability


en:
This dataset provides distribution data of fungi in Switzerland of the National Data and Information Centre, called  [SwissFungi](https://swissfungi.wsl.ch/en/index.html). SwissFungi is a partner of [InfoSpecies](https://www.infospecies.ch/de/), the network of Swiss data and information centres for [fauna](http://www.cscf.ch/cscf/de/home.html), [flora](https://www.infoflora.ch/en/) and [fungi](https://swissfungi.wsl.ch/en/index.html). One of its main objectives is to document the spatial and temporal distribution of species in Switzerland.
The SwissFungi database currently contains more than 670'000 geo-referenced fungi observations, distributed throughout Switzerland. The oldest observations date back to 1770. A large portion of the records are from the last two decades of the last century to the present day. The database is continuously updated with new fungi records. The data have been validated and originate from national inventories, from research projects, from floristic observations by volunteers as well as from private and public herbaria and from the literature.
The data from the distribution atlas of fungi in Switzerland are available for research and practice (nature conservation projects, environmental impact assessments etc.) and can be obtained via an [application form](https://www.infospecies.ch/de/assets/content/documents/Formular_Datenanfrage20190625.pdf). Please note the tariffs for data requests and submit your request directly to the [InfoSpecies](https://www.infospecies.ch/de/) office. Applications are usually answered within two working weeks. Details on the use of data are regulated in the current guidelines of the national data centers. Please note that the data center SwissFungi is not able to verify all incoming fungal records completely for a correct identification or coordinate errors and therefore cannot guarantee the correctness of the information.
License under [InfoSpecies](https://www.infospecies.ch/de/). Data is free of charge for research projects and available on request.

en: swissfungi biodiversity records-database national-data-center fungi-conservation fungi

en: SwissFungi - Records Database for the Fungi of Switzerland

biodiversity

display_name: biodiversity

fungi

display_name: fungi

fungi-conservation

display_name: fungi-conservation

national-data-center

display_name: national-data-center

records-database

display_name: records-database

swissfungi

display_name: swissfungi


en: We present stated preference data for improved forest management measures from seven Swiss municipalities in the Cantons of Grisons and Valais. The data was collected between October 2019 and February 2020 using an online questionnaire. We invited 10289 households to participate and received 939 responses. The online questionnaire consisted of two main parts: (i) an online choice experiment and (ii) questions on the sociodemographic characteristics of the responding households. The choice experiment confronted households with twelve consecutive choice tasks. Each choice task consisted of three options with a varying degree of avalanche and rock fall risk reduction due to improved forest management. The options further differed with respect to the way the costs for the improved forest management are allocated and the way they are calculated. We additionally provided each of the options with a cost attribute, allowing for the calculation of willingness to pay measures. At the end of the choice experiment we asked five de-briefing questions and eight attitudinal questions. Additionally, we asked the responding households to state their willingness to take risks. The sociodemographic characteristics collected in the second part of the questionnaire allow for an analysis of the impact they have on the choices we observed in the first part of the questionnaire.

en: ecosystem-services discrete-choice nature-based-solutions resilience climate-change-adaptation

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: Stated preference data on the insurance value of forests in Switzerland

de:
Resource Title: DIVES CE raw data
    Size: 3723776 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9ef54da1-8ff8-4f10-b1c3-74a7d670ec26/download/dives_choice_data.csv
    Description: Raw data obtained from a choice experiment on the insurance value of forests

de:
Resource Title: DIVES data description
    Size: 136303 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/c8d1875a-3914-498d-9178-1d290a426f69/download/dives_data_description.pdf
    Description: Description of the raw data variables

format: PDF

media_type: application/pdf

de:
Resource Title: DIVES questionnaire
    Size: 1368317 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9c762c10-20f7-4f75-ab5e-33b6373508a6/download/dives_questionnaire.pdf
    Description: English translation of the original survey questionnaire

climate-change-adaptation

display_name: climate-change-adaptation

discrete-choice

display_name: discrete-choice

ecosystem-services

display_name: ecosystem-services

nature-based-solutions

display_name: nature-based-solutions

resilience

display_name: resilience


en: We present newly digitized data on 6,929 plague outbreaks that occurred between 1347 and 1900 AD across Europe. The data base on an inventory initially published 1976. For georeferencing the information of Tele Atlas 2009 was used. The coordinates are in the reference systems ETRS89 and WGS84.

en: yersinia-pestis palaeo-epidemiology historical-plague plague-inventory black-death plague-outbreaks bubonic-plague plague-mapping

envidat

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

en: Digitizing historical plague

envi

en: Environment

black-death

display_name: black-death

bubonic-plague

display_name: bubonic-plague

historical-plague

display_name: historical-plague

palaeo-epidemiology

display_name: palaeo-epidemiology

plague-inventory

display_name: plague-inventory

plague-mapping

display_name: plague-mapping

plague-outbreaks

display_name: plague-outbreaks

yersinia-pestis

display_name: yersinia-pestis


en: R data set containing R raster objects with 500m gridded daily modeled soil moisture and net radiation covering Switzerland for the year 2004.

en: evaporation ecohydrology soil-moisture evapotranspiration net-radiation

en: daily 500m gridded net radiation and soil moisture for Switzerland, 2004

de:
Resource Title: R data file containing gridded net radiation and soil moisture values
    Size: 683413598 bytes
    Format: application/x-r-data
    URL: https://www.envidat.ch/dataset/8d398d73-d741-42a3-997a-b63e9893aa9b/resource/d931db26-e4ce-42b3-b8fa-1e38a13a31ba/download/500m_sm_netrad_2004_for_hess_raster.rdata
    Description: Net radiation (W/m2), variable name: NetRadiation, source: Viviroli et al., 2009, spatial resolution: 500 m,
temporal resolution: daily, year 2004, extent: Switzerland.

Soil moisture saturation (-), variable name: SoilMositure, source: simulations from the hydrological model PREVAH,
Brunner et al., 2019; Speich et al., 2015; Orth et al., 2015; Zappa et al., 2003, spatial resolution: 500 m, temporal
resolution: daily, year 2004, extent: Switzerland.

The R command to load the data:
load(“500m_SM_NetRad_2004_for_HESS_raster.RData”)

de:
Resource Title: simple R script to load the data and generate sample plots
    Size: 1368 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/8d398d73-d741-42a3-997a-b63e9893aa9b/resource/b52e1813-276e-49e1-a373-1a5e2677dc42/download/plotting-script-for-hess.r
    Description:

ecohydrology

display_name: ecohydrology

evaporation

display_name: evaporation

evapotranspiration

display_name: evapotranspiration

net-radiation

display_name: net-radiation

soil-moisture

display_name: soil-moisture


en:
This data set contains the data presented in the figures 1-6 in Walthert et al. (2020): From the comfort zone to crown dieback: sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.141792.
A detailed methodical description of the data can be found in the Material and Methods section of the paper.
Drought responses of mature trees are still poorly understood making it difficult to predict species distributions under a warmer climate. Using mature European beech (Fagus sylvatica L.), a widespread and economically important tree species in Europe, we aimed at developing an empirical stress-level scheme to describe its physiological response to drought. We analysed effects of decreasing soil and leaf water potential on soil water uptake, stem radius, native embolism, early defoliation and crown dieback with comprehensive measurements from overall nine hydrologically distinct beech stands across Switzerland, including records from the exceptional 2018 drought and the 2019/2020 post-drought period. Based on the observed responses to decreasing water potential we derived the following five stress levels: I (predawn leaf water potential --0.4 MPa): no detectable hydraulic limitations; II (-0.4 to -1.3): persistent stem shrinkage begins and growth ceases; III (-1.3 to -2.1): onset of native embolism and defoliation; IV (-2.1 to -2.8): onset of crown dieback; V (--2.8): transpiration ceases and crown dieback is -20%. Our scheme provides, for the first time, quantitative thresholds regarding the physiological downregulation of mature European beech trees under drought and therefore synthesises relevant and fundamental information for process-based species distribution models. Moreover, our study revealed that European beech is drought vulnerable, because it still transpires considerably at high levels of embolism and because defoliation occurs rather as a result of embolism than preventing embolism. During the 2018 drought, an exposure to the stress levels III-V of only one month was long enough to trigger substantial crown dieback in beech trees on shallow soils. On deep soils with a high water holding capacity, in contrast, water reserves in deep soil layers prevented drought stress in beech trees. This emphasises the importance to include local data on soil water availability when predicting the future distribution of European beech.

en: stem-growth tree-water-deficit transpiration xylem-vulnerability leaf-water-potential stem-shrinking native-embolism early-defoliation drought-stress stress-thresholds stable-isotopes permanent-wilting-point dendrometer soil-water-uptake soil-water-potential fagus-sylvatica crown-dieback

en: Stress thresholds of mature European beech trees

crown-dieback

display_name: crown-dieback

dendrometer

display_name: dendrometer

drought-stress

display_name: drought-stress

early-defoliation

display_name: early-defoliation

fagus-sylvatica

display_name: fagus-sylvatica

leaf-water-potential

display_name: leaf-water-potential

native-embolism

display_name: native-embolism

permanent-wilting-point

display_name: permanent-wilting-point

soil-water-potential

display_name: soil-water-potential

soil-water-uptake

display_name: soil-water-uptake

stable-isotopes

display_name: stable-isotopes

stem-growth

display_name: stem-growth

stem-shrinking

display_name: stem-shrinking

stress-thresholds

display_name: stress-thresholds

transpiration

display_name: transpiration

tree-water-deficit

display_name: tree-water-deficit

xylem-vulnerability

display_name: xylem-vulnerability


en: Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.

en: snow antarctica sea-salt-aerosol ice arctic

en: Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy

de:
Resource Title: Fig 1C
    Size: 4075 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/72da8863-8f75-4cc6-8f19-e0794aba1825/download/fig1datac.txt
    Description: Data to Figure 1C

de:
Resource Title: Fig 1B
    Size: 4055 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/e34c6b10-2a60-47ff-9861-c4532f9f6cd5/download/fig1datab.txt
    Description: Data in Figure 1B

de:
Resource Title: Fig 1B_2
    Size: 5115 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/ddfc21ed-441b-457d-b97f-b798769fe961/download/fig1datab_phoenix04042016_007.txt
    Description: Individual data to mean shown in Figure 1B

de:
Resource Title: Fig 1E
    Size: 4834 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/b5116736-f648-48fc-b151-84f9e7425b02/download/fig1datae.txt
    Description: Data to Figure 1E

de:
Resource Title: Fig 1F
    Size: 4852 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/4066e023-0d99-4ee8-9b28-7dcc5bae6e6a/download/fig1dataf.txt
    Description: Data to Figure 1F

de:
Resource Title: Read Me
    Size: 127587 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/06ee35fe-4ee5-4813-812c-5600ac828b25/download/bartelsrausch_cryosphere_nacl_2020-data-repository.pdf
    Description: Description of the data tables

de:
Resource Title: Code
    Size: 4438 bytes
    Format: application/vnd.wolfram.mathematica.package
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/4f8edf22-d8cf-42e9-aae8-88cf6d84ceec/download/bartelsrausch_cryosphere_nacl_2020.m
    Description: Matlab code to read and plot the data

de:
Resource Title: Fig 1D
    Size: 4831 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/b483a523-00ab-46ae-8dd4-12a80135158a/download/fig1datad.txt
    Description: Data to Figure 1D

de:
Resource Title: Fib 1B_3
    Size: 4849 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/83a80299-55d3-423e-9fbb-e5b0a962dd5d/download/fig1datab_phoenix04042016_020.txt
    Description: Individual data to mean shown in Figure 1B

de:
Resource Title: Fig 1F_1
    Size: 4856 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/927bbb3a-590d-46a1-8cc2-8eef6b2040a9/download/fig1dataf_phoenix04042016_015.txt
    Description: Individual data to mean shown in Figure 1F

de:
Resource Title: Table1
    Size: 15287 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/89079eb2-5bc0-4032-ad8d-41db87a93c81/download/table1.txt
    Description: This table lists all data files in chronological order. "SampleTemp" refers to the reading of the PT-1000 at the side of the sample holder. "cellPressure" is the water vapour pressure during the measurements. From this, in presence of ice, the temperature of the ice sample can be calculated which is given in the column "iceTemp". "dT" is the difference, or temperature offset, between sensor's reading and the ice samples temperature. The offset is due to the sensor being mounted away from the cooled spot of the sample were it experiences heating from warmer parts of the sample holder. The off-set is used to calibrate the temperature sensor and the resulting temperature during the experiments is given in the column "temperature". "relHum" is the relative humidity above (supercooled) liquid and "concBrine" is the concentration of a NaCl solution in mol/l in equilibrium with ice at the experimental temperature. "Area" is the integrated PE signal.

de:
Resource Title: Table 2
    Size: 1399 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/0a3fb7b3-b96d-496a-86e2-00a635c1fdab/download/table2.txt
    Description: This table lists all NEXAFS data files in chronological order with PE carbon to oxygen signal intensity ratios -from which the atomic ratio were calculated in the paper - before ("preCtoO") and after ("postCtoO") each NEXAFS measurement. Also listed is the change in Na ("lossSodi"), O ("lossOxy"), Cl ("lossChlor"), and C ("lossCarb") signal intensity after the NEXAFS measurement compared to prior to the NEXAFS measurement.

de:
Resource Title: Fig 1F_2
    Size: 4855 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/016e32e9-3a1d-433e-95b8-66a0a8cef4ec/download/fig1dataf_phoenix04042016_016.txt
    Description: Individual data to mean shown in Figure 1F

de:
Resource Title: Fig 1B_1
    Size: 4068 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/8b41e95e-ed56-46fd-96ff-1edfd7e95592/download/fig1datab_phoenix04042016_006.txt
    Description: Individual data to mean shown in Figure 1B

de:
Resource Title: Fig 1A
    Size: 5110 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4f67a0e6-accb-40a1-b9f1-3c8f8eebf886/resource/b90f9e5e-d4a1-47ef-8654-659b2ee7734a/download/fig1dataa.txt
    Description: Data Figure 1A

antarctica

display_name: antarctica

arctic

display_name: arctic

ice

display_name: ice

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow


en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.
Data include 30-minute time series of
- weather variables,
- sap flow fluxes,
- groundwater levels (in two riparian transects of shallow groundwater wells),
- and stream stages (at 12 sites spanning a 500-meter elevation gradient),
and daily time series of
- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations
- diel cycle index values for groundwater levels and stream stages,
- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.
Google Earth Engine scripts for extracting the MODIS data are also provided.

en: sap-flow streamflow diurnal-cycle evapotranspiration diel-cycle groundwater snowmelt ecohydrology

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA

envi

de: Umwelt

de:
Resource Title: MODIS EVI2 script
    Size: 5924 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/03332157-eed1-47a2-8eb9-15c4963f66cc/download/google-earth-engine-script-modis-evi2-averages.txt
    Description: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

de:
Resource Title: 30-minute time series
    Size: 20691717 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/839acf4c-db88-4743-9de4-13859430facf/download/sagehen-and-independence-30min-data-for-archive.txt
    Description: 30-minute hydrometeorological and ecohydrological time series.

de:
Resource Title: MODIS NDSI script
    Size: 5976 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/88a7c3f1-0623-435d-9e93-f9a463b0211d/download/google-earth-engine-script-modis-ndsi-averages-excluding-cloudy-pixels.txt
    Description: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

de:
Resource Title: Subcatchment polygons
    Size: 24333 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/5b6edcd5-514b-4928-bf8c-5d1b475b59e9/download/google-earth-engine-subcatchment-polygons.txt
    Description: Subcatchment polygons for use in the Google Earth Engine scripts.

de:
Resource Title: Daily time series
    Size: 758116 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/1273e282-0cf2-4ac1-8676-187bb027ccbe/download/sagehen-and-independence-daily-data-for-archive.txt
    Description: Daily hydrometeorological and ecohydrological time series

de:
Resource Title: Metadata
    Size: 150575 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/2376965d-33fc-4c95-842c-c788d5d22830/download/sagehen-and-independence-data-archive-metadata.pdf
    Description: Column descriptions for both data files, and map coordinates for all measurement locations.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow


en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

en: raclets temperature wind holoballoon radiosonde relative-humidity wind-direction pressure

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: Radiosondes

de:
Resource Title: Radiosond Template Files
    Size: 123564 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f6c38c8c-ab20-43a6-ae37-82117733df96/resource/4c57e9a6-e0b8-430d-964a-710306dadf78/download/template.zip
    Description: The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

de:
Resource Title: Radiosond Sounding Files
    Size: 43199 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f6c38c8c-ab20-43a6-ae37-82117733df96/resource/969c41f7-d197-45cc-8db2-259fedd02b9f/download/soundings.zip
    Description: The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

raclets

display_name: raclets

radiosonde

display_name: radiosonde

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

wind

display_name: wind

wind-direction

display_name: wind-direction


en: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.

en: plynlimon stable-water-isotopes deuterium chloride streamflow tracer catchment precipitation

en: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK

envi

en: Environment

de:
Resource Title: 7-hourly stable water istopes
    Size: 1068983 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/b95e376b-5e72-4b1e-ae70-16a77fbe8b2c/download/plynlimon_isotopes_and_chloride_7hourly_2007_2009.txt
    Description: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).

de:
Resource Title: Data Set Documentation
    Size: 442506 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/e4e4cc20-e46a-404c-88d4-963dce6a00b2/download/dataset_documentation__read_me_first.pdf
    Description: This file contains a documentation of the data sets, including references to other helpful documentations.

de:
Resource Title: Weekly stable water isotopes
    Size: 154294 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/f4e1355d-d645-4419-bf89-67c70dd09dfc/resource/caa392e5-341e-412e-ba17-04b5ca2f9ee7/download/plynlimon_isotopes_and_chloride_weekly_2004_2009.txt
    Description: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

tracer

display_name: tracer


endsplit

en:
R scripts and demonstration data for end-member mixing and splitting: using isotopes and other tracers to determine where streamflow comes from (end-member mixing) and where precipitation goes (end-member splitting).
 This package includes two R scripts:
"EndSplit_v1.0_20200516.R" implements end-member mixing and splitting.
"EndSplit_demo_v1.0_20200516.R" demonstrates the application of EndSplit to the Hubbard Brook Watershed 3 isotope data set (see below).
Both of these scripts are copyright (C) 2020 ETH Zurich and James Kirchner.  Public use is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/
But… READ THIS CAREFULLY:
ETH Zurich and James Kirchner make ABSOLUTELY NO WARRANTIES OF ANY KIND, including NO WARRANTIES, expressed or implied, that this software is free of errors or is suitable for any particular purpose.  Users are solely responsible for determining the suitability and reliability of this software for their own purposes.
These scripts implement end-member mixing and end-member splitting, as described in Kirchner and Allen, "Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis", Hydrology and Earth System Sciences, 24, 17-39, https://doi.org/10.5194/hess-24-17-2020, 2020.  Users publishing results based on these scripts should cite that paper.
Build 2020.05.16 is a minor bug fix of build 2019.10.25, which was previously released as EndSplit_v1.0_20191025.R.
 The zip file "demonstration input data.zip" contains 8 demonstration data files (all tab-delimited text):
"Hubbard Brook WS3 isotope data split by sampling date.txt" contains streamflow and precipitation isotope data from Hubbard Brook Watershed 3 isotope data (Campbell and Green, 2019).
"Hubbard Brook WS3 daily P and Q 1956-2014.txt" contains daily precipitation and streamflow totals for Hubbard Brook Watershed 3.  (USDA Forest Service Northern Research Station, 2016a and 2016b).
"Hubbard Brook WS3 isotope data WY2007.txt", "Hubbard Brook WS3 isotope data WY2008.txt", "Hubbard Brook WS3 isotope data WY2009.txt", "Hubbard Brook WS3 daily P and Q WY2007.txt", "Hubbard Brook WS3 daily P and Q WY2008.txt", and "Hubbard Brook WS3 daily P and Q WY2009.txt" contain subsets of these data for the designated water years.
As the work product of US federal employees, the data in these files are in the public domain.  However, any users of these data should cite the original sources:
Campbell, J. L., and Green, M. B.: Water isotope samples from Watershed 3 at Hubbard Brook Experimental Forest, 2006-2010, https://doi.org/10.6073/pasta/f5740876b68ec42b695c39d8ad790cee, 2019.
USDA Forest Service Northern Research Station: Hubbard Brook Experimental Forest (US Forest Service): Daily Streamflow by Watershed, 1956 - present, https://doi.org/10.6073/pasta/38b11ee7531f6467bf59b6f7a4d9012b, 2016a.
USDA Forest Service Northern Research Station: Hubbard Brook Experimental Forest (US Forest Service): Total Daily Precipitation by Watershed, 1956 - present, https://doi.org/10.6073/pasta/163e416fb108862dc6eb857360fa9c90, 2016b.
 The zip file "demonstration output files.zip" contains demonstration output files
These tab-delimited text files were generated by running EndSplit_demo_v1.0_20200516.R (which in turn calls EndSplit_v1.0_20200516.R) under R version 3.6.0, using the input files contained in "demonstration input data.zip"

en: end-member-mixing streamflow tracer precipitation end-member-splitting isotopes evapotranspiration

en: EndSplit

title_for_slug: endsplit

de:
Resource Title: EndSplit_demo version 1.0 build 2020.05.16
    Size: 14802 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/b12fafab-7730-4648-a8bc-6afb1944bf3b/resource/19e05849-5bd7-4d0e-9c90-98f9f2d78435/download/endsplit_demo_v1.0_20200516.r
    Description: EndSplit_demo_v1.0_20200516.R demonstrates the application of EndSplit to the Hubbard Brook Watershed 3 isotope data set.  It calls EndSplit_v1.0_20200516.R.

Both of these scripts are copyright (C) 2020 ETH Zurich and James Kirchner.  Public use is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

But… READ THIS CAREFULLY:
ETH Zurich and James Kirchner make ABSOLUTELY NO WARRANTIES OF ANY KIND, including NO WARRANTIES, expressed or implied, that this software is free of errors or is suitable for any particular purpose.  Users are solely responsible for determining the suitability and reliability of this software for their own purposes.

These scripts implement end-member mixing and end-member splitting, as described in Kirchner and Allen, "Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis", Hydrology and Earth System Sciences, 24, 17-39, https://doi.org/10.5194/hess-24-17-2020, 2020.  Users publishing results based on these scripts should cite that paper.

de:
Resource Title: demonstration output files
    Size: 14152 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b12fafab-7730-4648-a8bc-6afb1944bf3b/resource/02360e0a-ceec-4bc8-968e-1b17a5a7ad1e/download/demonstration-output-files.zip
    Description: These tab-delimited text files were generated by running EndSplit_demo_v1.0_20200516.R (which in turn calls EndSplit_v1.0_20200516.R) under R version 3.6.0, using the input files contained in "demonstration input data.zip"

de:
Resource Title: demonstration input data
    Size: 387131 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b12fafab-7730-4648-a8bc-6afb1944bf3b/resource/00207c87-63c7-4c9d-86c9-4873bf699035/download/demonstration-input-data.zip
    Description: # The zip file "demonstration input data.zip" contains 8 demonstration data files (all tab-delimited text): #

"Hubbard Brook WS3 isotope data split by sampling date.txt" contains streamflow and precipitation isotope data from Hubbard Brook Watershed 3 isotope data (Campbell and Green, 2019).

"Hubbard Brook WS3 daily P and Q 1956-2014.txt" contains daily precipitation and streamflow totals for Hubbard Brook Watershed 3.  (USDA Forest Service Northern Research Station, 2016a and 2016b).

"Hubbard Brook WS3 isotope data WY2007.txt", "Hubbard Brook WS3 isotope data WY2008.txt", "Hubbard Brook WS3 isotope data WY2009.txt", "Hubbard Brook WS3 daily P and Q WY2007.txt", "Hubbard Brook WS3 daily P and Q WY2008.txt", and "Hubbard Brook WS3 daily P and Q WY2009.txt" contain subsets of these data for the designated water years.

As the work product of US federal employees, the data in these files are in the public domain.  However, any users of these data should cite the original sources:

Campbell, J. L., and Green, M. B.: Water isotope samples from Watershed 3 at Hubbard Brook Experimental Forest, 2006-2010, https://doi.org/10.6073/pasta/f5740876b68ec42b695c39d8ad790cee, 2019.

USDA Forest Service Northern Research Station: Hubbard Brook Experimental Forest (US Forest Service): Daily Streamflow by Watershed, 1956 - present, https://doi.org/10.6073/pasta/38b11ee7531f6467bf59b6f7a4d9012b, 2016a.

USDA Forest Service Northern Research Station: Hubbard Brook Experimental Forest (US Forest Service): Total Daily Precipitation by Watershed, 1956 - present, https://doi.org/10.6073/pasta/163e416fb108862dc6eb857360fa9c90, 2016b.

de:
Resource Title: EndSplit version 1.0 build 2020.05.16
    Size: 18979 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/b12fafab-7730-4648-a8bc-6afb1944bf3b/resource/bdc05c4b-dd74-4868-b1fb-08cb26107158/download/endsplit_v1.0_20200516.r
    Description: EndSplit_v1.0_20200516.R implements end-member mixing and splitting.

This script is copyright (C) 2020 ETH Zurich and James Kirchner.  Public use is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

But… READ THIS CAREFULLY:
ETH Zurich and James Kirchner make ABSOLUTELY NO WARRANTIES OF ANY KIND, including NO WARRANTIES, expressed or implied, that this software is free of errors or is suitable for any particular purpose.  Users are solely responsible for determining the suitability and reliability of this software for their own purposes.

This script implements end-member mixing and end-member splitting, as described in Kirchner and Allen, "Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis", Hydrology and Earth System Sciences, 24, 17-39, https://doi.org/10.5194/hess-24-17-2020, 2020.  Users publishing results based on these scripts should cite that paper.

end-member-mixing

display_name: end-member-mixing

end-member-splitting

display_name: end-member-splitting

evapotranspiration

display_name: evapotranspiration

isotopes

display_name: isotopes


en: Long-term (1980-2011) average annual precipitation (pcp_ch_longterm_yr_avg.tif) and potential evapotranspiration (pet_ch_longterm_yr_avg.tif) at 500m resolution.  Units are mm per year.  Files are GeoTIFF rasters, and can be read in R using the command raster("pcp_ch_longterm_yr_avg.tif), after installing packages "raster" and "rgdal".

en: weather potential-evapotranspiration aridity climate precipitation

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Average precipitation and PET over Switzerland at 500m resolution

de:
Resource Title: 1980-2011 average potential evapotranspiration (in mm per year) at 500m resolution over Switzerland
    Size: 1200978 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/475208bd-42d0-4a12-a1b0-e322f64fce5f/resource/f6c57849-bf7a-4083-b65c-930d13e8e18a/download/pet_ch_longterm_yr_avg.tif
    Description: Long-term (1980-2011) average potential evapotranspiration (in mm per year) at 500m resolution over Switzerland. GeoTIFF raster file can be read in R using the command raster(“pet_ch_longterm_yr_avg.tif”), after installing packages "raster" and "rgdal".

format: TIFF

media_type: image/tiff

de:
Resource Title: 1980-2011 average precipitation over Switzerland at 500m resolution
    Size: 1197880 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/475208bd-42d0-4a12-a1b0-e322f64fce5f/resource/02355670-67a9-4236-ae0f-1bab203db336/download/pcp_ch_longterm_yr_avg.tif
    Description: Long-term (1980-2011) average precipitation (in mm per year) at 500m resolution over Switzerland. GeoTIFF raster file can be read in R using the command raster(“pet_ch_longterm_yr_avg.tif”), after installing packages "raster" and "rgdal".

aridity

display_name: aridity

climate

display_name: climate

potential-evapotranspiration

display_name: potential-evapotranspiration

weather

display_name: weather


en: The FlowCapt is an ultra-robust instrument measuring solid particle acoustic mass - flux intensities (g m&8254; &178; s&8254; &185;) and wind speeds (m s&8254; &185;). It was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849). The vertical tube with a length of 1 m monitors snowdrift and snow-blowing; and is mounted at a height between 0.1 an 1.1 m above snow surface. The time within each data set is given in UTC+1.

en: acoustic-mass-flux snow-blowing snowdrift raclets flowcapt wind-speed

en: Snow Drift Station - Flowcapt

envi

de: Umwelt

de:
Resource Title: minimum mass flux
    Size: 69211 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/286c7415-907c-4f97-a9e2-6b9659f023dc/download/flowcapt_massflux_min.xlsx
    Description: The data file contains the minimum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

de:
Resource Title: minimum wind spees
    Size: 68651 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/89e6e1e3-ceea-473f-bb4d-0735df53bf90/download/flowcapt_windspeed_min.xlsx
    Description: The data file contains the minimum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

de:
Resource Title: maximum mass flux
    Size: 73039 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/760227b7-3ef2-4164-bae3-bc59652d28e8/download/flowcapt_massflux_max.xlsx
    Description: The data file contains the maximum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

de:
Resource Title: average wind speed
    Size: 73245 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/41378f42-ff53-4961-aa5e-58aa7a9ef771/download/flowcapt_windspeed_avg.xlsx
    Description: The data file contains the average wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

de:
Resource Title: maximum wind speed
    Size: 74090 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/d8324ec0-7d85-49e1-8978-ea460ca92386/download/flowcapt_windspeed_max.xlsx
    Description: The data file contains the maximum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6 s observations and 54 s stand-by. The time is given in UTC+1.

de:
Resource Title: avergaged mass flux
    Size: 71943 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/dad6d388-e76d-4f27-8b1e-0028aa9f3d23/resource/923d9c5c-7bbd-4e31-8ff8-11feb1e86498/download/flowcapt_massflux_avg.xlsx
    Description: Average mass flux of 10 min measurement interval. The Cycle duration is 1 min which includes 6 s observation and 54 s stand-by. The time is given in UTC+1.

acoustic-mass-flux

display_name: acoustic-mass-flux

flowcapt

display_name: flowcapt

raclets

display_name: raclets

snow-blowing

display_name: snow-blowing

snowdrift

display_name: snowdrift

wind-speed

display_name: wind-speed


en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s&8254; &185;]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

en: wind-direction wind-speed anemometer wind-velocity raclets wind

en: Snow Drift Station - 3D Ultrasonic

de:
Resource Title: Sonic temperature
    Size: 513827192 bytes
    Format: application/x-npy
    URL: https://www.envidat.ch/dataset/efa1aa57-2aef-41de-8d36-d5847445a2dc/resource/cc5577c8-af52-4af3-a16c-bef536dbe363/download/sonic_ts.npy
    Description: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

de:
Resource Title: Sonic time
    Size: 513827192 bytes
    Format: application/x-npy
    URL: https://www.envidat.ch/dataset/efa1aa57-2aef-41de-8d36-d5847445a2dc/resource/d345ded1-1574-41f3-ae30-d257dc87b926/download/sonic_time.npy
    Description: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

de:
Resource Title: Sonic wind component v
    Size: 513827192 bytes
    Format: application/x-npy
    URL: https://www.envidat.ch/dataset/efa1aa57-2aef-41de-8d36-d5847445a2dc/resource/a485c9f7-72e0-474c-9bc8-3d9aea695a30/download/sonic_v.npy
    Description: The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

de:
Resource Title: Sonic wind component u
    Size: 513827192 bytes
    Format: application/x-npy
    URL: https://www.envidat.ch/dataset/efa1aa57-2aef-41de-8d36-d5847445a2dc/resource/54108b5f-082b-483b-8ac0-a56780e44217/download/sonic_u.npy
    Description: The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

de:
Resource Title: Sonic wind component w
    Size: 513827192 bytes
    Format: application/x-npy
    URL: https://www.envidat.ch/dataset/efa1aa57-2aef-41de-8d36-d5847445a2dc/resource/a0d480eb-e00a-4508-9d76-16da99c61b61/download/sonic_w.npy
    Description: The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

anemometer

display_name: anemometer

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-velocity

display_name: wind-velocity


en: The dataset contains information on precipitation amount and type for Davos Wolfgang (LON: 9.853594, LAT: 46.835577) from February 8 to March 19 2019. It includes: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en: raclets fall-velocity disdrometer davos precipitation

envidat

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

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

en: EnviDat: the Environmental Data Portal

en: Disdrometer Data Davos Wolfgang

davos

display_name: davos

disdrometer

display_name: disdrometer

fall-velocity

display_name: fall-velocity

precipitation

display_name: precipitation


en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

en: weather temperature wind precipitation klosters raclets

envidat

de: EnviDat: das Umwelt-Datenportal

en: Weather Station Klosters

envi

en: Environment

klosters

display_name: klosters

temperature

display_name: temperature


en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

en: raclets wind-direction wind-speed radar wolfgangpass

de: EnviDat

en: RADAR Wind profiler Davos Wolfgang

radar

display_name: radar

wolfgangpass

display_name: wolfgangpass


en: Scanning wind Lidar from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 200 m above ground to 8100 m. The time resolution is up to 5 seconds. The Lidar was measuring wind profiles but also performed plan position indicator (PPI) and range height indicator (RHI) scans.

en: wolfgangpass profiles raclets lidar wind

en: Wind LIDAR Davos Wolfgang

lidar

display_name: lidar

profiles

display_name: profiles


en: A present weather sensor (Vaisala PWD22) was deployed in Klosters (LON: 9.880413, LAT: 46.869019) for weather observation, combining the functions of  a forwardscatter visibility meter and a present weather sensor. Besides measuring ambient light, it detects the intensity as well as the amount of both liquid and solid precipitation. More information can be found in the [User's Manual](ftp://ftp.cmdl.noaa.gov/aerosol/doc/manuals/PWD22_Manual.pdf).

en: visibility precipitation weather raclets sensor

en: Present Weather Sensor Klosters

raclets

display_name: raclets

sensor

display_name: sensor

visibility

display_name: visibility

weather

display_name: weather


en: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.

en: klosters vertical-visibility raclets ceilometer cloud-base-height

en: Ceilometer Klosters

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

vertical-visibility

display_name: vertical-visibility


en: Backward trajectories were calculated from two positions: Davos Wolfgang (LON: 9.85361, LAT: 46.83551) and Weissfluhjoch (LON: 9.80646 LAT: 46.83304) for the time period February 2 until March 27 2019 using COSMO or ECMWF, respectively.

en: cosmo atmospheric-dynamics alps lagrangian-analysis raclets backward-trajectories complex-topopgraphy

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: Backward  Trajectories

alps

display_name: alps

atmospheric-dynamics

display_name: atmospheric-dynamics

backward-trajectories

display_name: backward-trajectories

complex-topopgraphy

display_name: complex-topopgraphy

cosmo

display_name: cosmo

lagrangian-analysis

display_name: lagrangian-analysis


en:
This dataset contains the parameters used in the statistical analyses for the manuscript SREP-19-40170-T, submitted in Scientific Reports. This study is part of the WSL Drought Initiative 2018 (C3 - Analysis of the beech litterfall of the drought year 2018).
Data originate from the Long-term Forest Ecosystem Research Programme LWF (litterfall, soil matric potential, deposition (precipitation) and meteo (temperature)), and from the Swiss Federal Office of Meteorology and Climatology MeteoSwiss (pollen).
Datafile:
 _LWF_beech_plots_litterfall_pollen.xlsx_
1. Sheet _extreme_weather_: values used for analysis of weather conditions in strongest mast years compared to years with fruit abortion.
2. Sheet _weather_and_resource_allocation_: values used for analysis of weather impacts on mast occurrence and resource allocation models.

en: heat beech forest litterfall pollen mast drought soil-matric-potential fruit-abortion

en: Litterfall and pollen data of three LWF beech plots

envi

en: Environment

beech

display_name: beech

drought

display_name: drought

forest

display_name: forest

fruit-abortion

display_name: fruit-abortion

heat

display_name: heat

litterfall

display_name: litterfall

mast

display_name: mast

pollen

display_name: pollen

soil-matric-potential

display_name: soil-matric-potential


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: Long-term behaviour of timber constructions in torrent control

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

de:
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:

de:
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


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: Hydraulic stress limits thermal acclimation in trees under chronic drought

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

envi

de: Umwelt

de:
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

de:
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

de:
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

de:
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

de:
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)

de:
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)

de:
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.

de:
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

de:
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.

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: The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere.

en: antartic snow laboratory-study arctic cryosphere polar sea-salt-aerosol

en: Kinetic experiments on the oxidation of bromide by ozone from 289-245 K.

de:
Resource Title: Experimental Results: Uptake coefficients vs. temperature and ozone concentration
    Size: 1422 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8c77d71e-155b-40ab-a446-ae2dccac9740/resource/af7e17ca-b08b-48d2-8198-621ec0814252/download/dataenivdat.csv
    Description: * Final Data to Figure 3: Uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.
* Final Data to Figure 6: Uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

The average ozone uptake coefficients of the three cycles between the bypass and the flow tube per repeat is taken as the mean uptake coefficient for each experiment. Gamma was corrected for gas phase diffusion limitation following the Cooney–Kim– Davis (CKD) method52 (see supporting material of publication for details).

de:
Resource Title: Experimental results of uptake coefficient vs. temperature and ozone concentration
    Size: 1279 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8c77d71e-155b-40ab-a446-ae2dccac9740/resource/fd675417-23be-47bb-bcf3-44c3bb2eb572/download/dataenivdat.csv
    Description: Data to Figure 3: Measured uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.

Data to Figure 6: Measured  uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow


en:
This dataset contains open vector data for railways, forests and power lines, as well an open digital elevation model (DEM) for a small area around a sample forest range in Europe (Germany, Upper Bavaria, Kochel Forest Range, some 70 km south of München, at the edge of Bavarian Alps).
The purpose of this dataset is to provide a documented sample dataset in order to demonstrate geospatial preprocessing at FOSS4G2019 based on open data and software. This sample has been produced based on several existing open data sources (detailed below), therefore documenting the sources for obtaining some data needed for computations related to forest accessibility and wood harvesting. For example, they can be used with the open methodology and QGIS plugin [Seilaplan]( https://doi.org/10.16904/envidat.software.1) for optimising the geometric layout cable roads or with additional open software for computing the forest accessibility for wood harvesting.
The vector data (railways, forests and power lines) was extracted from OpenStreetMap (data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org). The railways and forests were downloaded and extracted on 18.05.2019 using the open sources QGIS (https://www.qgis.org) with the QuickOSM plugin, while the power lines were downloaded a couple of days later on 23.05.2019.
Additional notes for vector data:
Please note that OpenStreeMap data extracts such as forests, roads and railways (except power lines) can also be downloaded in a GIS friendly format (Shapefile) from http://download.geofabrik.de/ or using the QGIS built-in download function for OpenStreetMap data. The most efficient way to retrieve specific OSM tags (such as power=line) is to use the QuickOSM plugin for QGIS (using the Overpass API -  https://wiki.openstreetmap.org/wiki/Overpass_API) or directly using overpass turbo (https://overpass-turbo.eu/). Finally, the digitised perimeter of the sample forest range is also made available for reproducibility purposes, although any  perimeter or area can be digitised freely using the QGIS editing toolbar.
The DEM was originally adapted and modified also with QGIS (https://www.qgis.org) based on the elevation data available from two different sources, by reprojecting and downsampling datasets to 25m then selecting, for each individual raster cell, the elevation value that was closer to the average. These two different elevation sources are:
- Copernicus Land Monitoring Service - EU-DEM v.1.1 (TILE ID E40N20, downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1; this original DEM was produced by the Copernicus Land Monitoring Service “with funding by the European Union” based on SRTM and ASTER GDEM)
- Digitales Geländemodell 50 m Gitterweite (https://opendata.bayern.de/detailansicht/datensatz/digitales-gelaendemodell-50-m-gitterweite/), produced by the Bayerische Vermessungsverwaltung – www.geodaten.bayern.de –and downloaded from http://www.geodaten.bayern.de/opendata/DGM50/dgm50_epsg4258.tif
This methodology was chosen as a way of performing a basic quality check, by comparing the EU-DEM v.1.1 derived from globally available DEM data (such as SRTM) with more authoritative data for the randomly selected region, since using authoritative data is preferred (if open and available). For other sample regions, where authoritative open data is not available, such comparisons cannot longer be performed.
Additional notes DEM: a very good DEM open data source for Germany is the open data set collected and resampled by Sonny (sonnyy7@gmail.com) and made available on the Austrian Open Data Portal http://data.opendataportal.at/dataset/dtm-germany. In order to simplify end-to-end reproducibility of the paper planned for FOSS4G2019, we use and distribute an adapted (reprojected and resampled to 25 meters) sample of the above mentioned dataset for the selected forest range.
This sample dataset is accompanied by software in Python, as a Jupiter Notebook that generates harmonized output rasters with the same extent from the input data. The extent is given by the polygon vector dataset (Perimeter). These output rasters, such as obstacles, aspect, slope, forest cover, can serve as input data for later computations related to forest accessibility and wood harvesting questions. The obstacles output is obtained by transforming line vector datasets (railway lines, high voltage power lines) to raster. Aspect and slope are both derived from the sample digital elevation model.

en: seilaplan openstreetmap forest qgis accessible-forest geoprocessing

envidat

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

en: Sample Geodata and Software for Demonstrating Geospatial Preprocessing for Forest Accessibility and Wood Harvesting at FOSS4G2019

de:
Resource Title: Digitised sample perimeter
    Size: 2083 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/710a065d-d50e-4a3d-a993-2a65197cef7b/download/digitized_sample_perimeter.zip
    Description: EPSG:25832

de:
Resource Title: Preview
    Size: 391085 bytes
    Format: image/png
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/729c975c-df90-4af2-979a-af44069dc02f/download/preview.png
    Description:

format: PNG

media_type: image/png

de:
Resource Title: Forest vector data (for sample forest range)
    Size: 288311 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/16db97c5-5546-4f80-9cb9-e562637b589c/download/osm_forest_export_25832.zip
    Description: EPSG:25832

de:
Resource Title: Juypter Notebook for Data Preparation
    Size: 29318 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/e0c2a4f8-ee8e-4ca9-b05f-0adf2401c879/download/data_preparation_foss4g2019.ipynb
    Description:

de:
Resource Title: DEM (for the area of the sample forest range)
    Size: 1695063 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/1bd80d45-a8fd-44dc-b153-7abfa6345d1c/download/eudem_ogdbayern_25m_25832.tif
    Description: EPSG:25832

de:
Resource Title: Power lines vector data (close to the area of the sample forest range)
    Size: 66908 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/c567f81c-26c9-4122-8fbd-045c55fb73c0/download/osm_powerlines_export_25832.zip
    Description: EPSG:25832

de:
Resource Title: Railways vector data (close to the sample forest range)
    Size: 50776 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/a787f798-0c3d-4cd3-a9d1-c93f51176465/download/osm_railways_export_25832.zip
    Description: EPSG:25832

de:
Resource Title: Juypter Notebook for Data Preparation (online)
    Size: 0
    Format: application/x-ipynb+json
    URL: https://nbviewer.jupyter.org/urls/www.envidat.ch/dataset/d28614a0-0825-4040-bc1b-e0455b1e4df6/resource/e0c2a4f8-ee8e-4ca9-b05f-0adf2401c879/download/data_preparation_foss4g2019.ipynb
    Description:

accessible-forest

display_name: accessible-forest

forest

display_name: forest

geoprocessing

display_name: geoprocessing

openstreetmap

display_name: openstreetmap

qgis

display_name: qgis

seilaplan

display_name: seilaplan