en:
General description
Genomic data, habitat suitability raster files and scripts to run gen3sis to simulate cumulative divergence over time as approximation for genetic differentiation. Scripts for basic analysis of the simulations (e.g., create distance matrix from sampling locations) are provided, too. See original publication (doi link will be provided after publication) for details. The study area are the European Alps.
All data is uploaded as zipped file. Unzip them after the download and put all data in one folder.
See linked publications for correct citation of the data used, use of the data without correct citation is not allowed.
Corresponding author: Flurin Leugger, email: flurin.leugger@gmail.com
 Description of the data (content of the different zip folders)
 Abiotic data
 Glaciers
Folders with raster stacks with glaciated areas at 0.05° resolution in WGS84 projection from Seguinot et al. (2018).
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., & Preusser, F. (2018). Modelling last glacial cycle ice dynamics in the Alps. _The Cryosphere, 12(10)_, 3265–3285. https://doi.org/10.5194/tc-12-3265-2018
 Rivers
* river_raster_elevation_class.tif: raster file (.tif) at 0.05° resolution and WGS84 projection with large rivers (scenario 2 from publication). The rivers (each cell) is classified according to the elevation of the cell.
Natural Earth. (2018). Rivers + lake centerlines version 4.1.0. Retrieved January 22, 2020, from https://www.naturalearthdata.com/downloads/50m-physical-vectors/50m-rivers-lake-centerlines
* river_raster_strahler_class_5km.tif: raster file at 0.05° resolution and WGS84 projection with medium rivers. The rivers are classified according to their Strahler order.
Food and Agriculture Organization of the United Nations. (2014). Rivers in Europe (Derived from HydroSHEDS). Retrieved January 29, 2020, from http://www.fao.org/geonetwork/srv/fr/google.kml?uuid=e0243940-e5d9-487c-8102-45180cf1a99f&layers=AQUAMAPS:37253_rivers_europe
 Fossil records
* chamois_fossil_combined_public.xlsx: list with fossil records until 20,000 years BP from Central Europe, see linked references for citation.
 Chamois occurrences
* chamois_occurrence.csv: Chamois presences from all sources used for the publication (see Suppl. mat. Table S1 for detailed information and correct citations of the data) aggregated at 0.05° resolution (~5km).
 Gen3sis
* config: folders with all configuration files used to run the simulations for the publication (different dispersal divergence parameters).
* scripts: scripts (and helper functions) to run the gen3sis simulations including scripts for the beginning of the subsequent analysis.
 Genetic
* populations.snps.light.vcf: vcf file of the sampled Northern chamois _(Rupicapra rupicapra)_ . The genomic data encompasses 20k SNPs (from ddRAD sequencing).
* Sequencing_final_without_slovakia.txt: sampling locations of Northern chamois _(Rupicapra rupicapra)_
 HSM
* habitat_suitability_hindcasting: Aggregated habitat suitability raster files (stacks, .grd files) at 0.05° resolution and WGS84 projection from 20,000 years BP until today in 100 year time steps. There are separate folders for each environmental variable scenario used (different terrain slope variables) an the different occurrence/pseudo-absence sampling strategy used.
* ODMAP_LeuggerEtAl2021-10-25.csv: ODMAP protocol

en: Simulating population divergence of Northern chamois in the Alps based on habitat dynamics

en: population-genetics geogenomics process-based-modeling range-dynamics landscape-genetics paleo-environmental-modeling

envi

de: Umwelt

de:
Resource Title: Fossil records
    Size: 34185 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/801413db-9f0f-4147-99c2-8b36dd664e44/download/fossil_records.zip
    Description: Chamois fossil records with estimated time span and coordinates. Please see the sheet "references_data_sets" for the references and read the read_me.txt file prior to using the data.

de:
Resource Title: Chamois occurrences
    Size: 136158 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/26583b50-5222-4e9c-a69d-062f60965a92/download/chamois_occurrence.csv
    Description: Coordinates (0.05° resolution) of chamois occurrences across the Alps. See Suppl. mat. Table S1 for more information and citation of the data sets used.

de:
Resource Title: Metadata
    Size: 3868 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/53239b17-86ec-411a-9909-9072d437aa64/download/metadata.txt
    Description: Metadata

format: TXT

media_type: text/plain

de:
Resource Title: Rivers and glaciers
    Size: 143478 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/c90c16c5-21ae-494e-b1bf-a367ab38e648/download/abiotic.zip
    Description: Input rasters required to set up gen3sis simulations

de:
Resource Title: Habitat suitability raster
    Size: 1908747503 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/ff87fdf4-c8d6-47d0-936a-b455c77c26d2/download/hsm.zip
    Description: Habitat suitability raster stacks (.grd) files for different terrain slope scenarios use (see main publication its supporting information for details) for Northern chamois until 20,000 years BP in 100 year time steps.

### Description of layer names:
* __prob__: habitat suitability ranging continuously from 0 (unsuitable) to 1 (very well suitable).
*__bin__: binary classification of habitat suitability based on TSS threshold optimization (see main publication and supporting information for details).
*__glm__: generalized linear model (to model and predict habitat suitability)
*__gam__: generalized additive model
*__gbm__: generalized boosted regression model
*__rf__: random forest
*__ensemble__: average of all 4 model types

de:
Resource Title: gen3sis simulations
    Size: 81389 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/599ce7b4-0994-42e4-a374-639012aa6c38/download/gen3sis.zip
    Description: Scripts to run gen3sis simulations, including configs used for the publication.

__1.2_gen3sis_input_generation.R__ creates the input files required for __2.2_gen3sis_simulation_chamois.R__, which is running the gen3sis simulations.
__ 3_gen3sis_track_simulation_over_time.R__ and __4_gen3sis_divergence_sampling_locations.R__ can be used to start the analysis.

de:
Resource Title: Genetic data Northern chamois across Alps
    Size: 29467114 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/f8447807-22a7-4219-a585-4b514421f2cb/download/genetic.zip
    Description: ddRADseq data (vcf file and sampling locations) of 449 Northern chamois (Rupicapra rupicapra) sampled across the European Alps

geogenomics

display_name: geogenomics

landscape-genetics

display_name: landscape-genetics

paleo-environmental-modeling

display_name: paleo-environmental-modeling

population-genetics

display_name: population-genetics

process-based-modeling

display_name: process-based-modeling

range-dynamics

display_name: range-dynamics


$oid: OBSOLETE

de: EnviDat

en:
This dataset contains all data and R codes (R Development Core Team, https://www.R-project.org) used in the following publication: Donati GFA, Parravicini V, Leprieur F, Hagen O, Gaboriau T, Heine C, Kulbicki M, Rolland J, Salamin N, Albouy C, Pellissier L. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted by Ecography in August 2019. When using this data and R scripts the above publication should be cited.
The interaction of habitat dynamics with species dispersal abilities could generate gradients
in species diversity and prevalence of life-history and ecological traits, when the latter are associated with dispersal potential. In this dataset, we use a spatial mechanistic model of speciation, extinction and dispersal, constrained by a dispersal parameter. This model allows to simulate the interplay between reef habitat dynamics over the past 140 million years and dispersal, shaping lineage diversification history and global assemblage composition of over 6000 tropical reef fish species. Global trait distribution data of tropical reef fish are used to evaluate the congruence between simulations and observations.

en: Simulated and observed prevalence of dispersal-related traits in tropical reef fish assemblages worldwide

en: biodiversity dispersal traits ecology reef-fish

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

type: dataset

key: guid

value: Envidat Harvester

key: uri

envi

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: Main text figures
    Size: 15475 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/c0870690-1143-4ac8-957a-2bfd2d6c96e3/download/donati_et_al_dispersal_global_prevalence_traits_figures_main_text.r
    Description: R Script used for figures in main text in: Donati et al. 2019: "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

de:
Resource Title: Coral reef grid cells (shape, dbf, etc. files)
    Size: 12441 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/7b6a4981-0f00-432c-9ed8-502c43126613/download/grid_4326_files.zip
    Description: Grid cells of 5 × 5°, corresponding to circa 555 × 555 km at the Equator (see Parravicini et al. 2013, Leprieur et al. 2016)

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

Leprieur, F. et al. 2016. Plate tectonics drive tropical reef biodiver- sity dynamics. – Nat. Commun. 7: 11461.

format: ZIP

media_type: application/zip

de:
Resource Title: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html
    Size: 566907 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a14c6b25-180d-42d8-a863-e13574487a03/download/coast_files.zip
    Description: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html used in the Figures

de:
Resource Title: Global simulated distribution of species under a range of dispersal parameter values
    Size: 30514436 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/471350ea-cbf8-409e-a8cc-55a84fe4a8cd/download/matrix_sim_sprichness.txt
    Description: Global distribution of simulated species richness under a range of dispersal parameter values d
d ∈ [1.75°: 5.45°].

de:
Resource Title: Donati et al. main script
    Size: 9040 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/e00d3cf8-4845-4de0-8eb6-33243506c274/download/donati_et_al_dispersal_global_prevalence_traits_main.r
    Description: Main script used in : Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages"
accepted in Ecography, August 2019

de:
Resource Title: Functions used in R scripts in: Donati et al. 2019 "A process-based-model supports an association between  # dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019
    Size: 8444 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/eed003d7-c661-42ab-bafb-c2fd2290d94e/download/donati_et_al_dispersal_global_prevalence_traits_functions.r
    Description: Functions for Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

de:
Resource Title: Global species distribution of tropical reef fish species
    Size: 3224423 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f554c199-621c-4c60-9566-e3ae1d9479b0/download/fishnet_gaspar_code.csv
    Description: Each species corresponds to a "Gaspar_code" gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013) and is linked to a specific Fishned ID corresponding to a specific Latitude and Longitude.

format: CSV

media_type: text/csv

de:
Resource Title: Dispersal parameter value d per simulation
    Size: 124575 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f895d8b6-3eff-4479-892b-8cc86b476a22/download/d_param_sim.txt
    Description: Dispersal parameter value d per simulation starting with a minimum dispersal value, where each species is able to colonise each adjacent cell, and ending with the value of d for which all the extant habitats, including the most remote Pacific islands, have been colonised (d ∈ [1.75°: 5.45°]).

de:
Resource Title: Tropical reef fish trait data
    Size: 428195 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a5227230-5514-4bdc-b81d-b38d5aaea5cb/download/sp_ecological_trait_data.csv
    Description: Species trait (i.e. adult body size, home range mobility behaviour, circadian activity and schooling) data gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013).

Kulbicki, M. et al. 2013. Global biogeography of reef  shes: a hier- archical quantitative delineation of regions. – PLoS One 8: e81847.

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

To complement the trait data with Pelagic Larval Duration information refer to the following publication:

Luiz, Osmar J., et al. "Adult and larval traits as determinants of geographic range size among tropical reef fishes." Proceedings of the National Academy of Sciences 110.41 (2013): 16498-16502.

In Donati et al. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography in August 2019, we used the PLD gathered from Luiz et al. 2013 as described in the methods - section "Species trait data".

de:
Resource Title: Input for the Global distribution maps for proportions of species richness for (a) simulated dispersal parameter value (b) observed dispersal-related traits
    Size: 45638 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2115cb5b-7557-4897-8892-f109a15eb0c1/download/grid_pl_sim_obs_trait_prop_cong.csv
    Description: Geographic distribution data (species richness and proportions of high/low dispersal-related traits) on predominantly low dispersing and high dispersing species expected based on the simulations, and those where low- and high- dispersal related traits values are observed for the five investigated traits.

de:
Resource Title:
    Size: 17762 bytes
    Format: application/x-r-data
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/95d1d60f-7dc9-4c51-992e-baaca842c296/download/cong_sim_obs_trait_prop.rdata
    Description: Input for spatial congruence test overlap between proportions of low and high  dispersal and observed low- and high- dispersal-related traits in assemblages (30-50% threshold). see Table 2.

de:
Resource Title: Simulated rates of speciation and extinction under a range of dispersal parameters.
    Size: 8135 bytes
    Format: application/x-rds
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/3b9df6ee-3cc3-4760-a51c-8241db1fa78c/download/rates.rds
    Description: Simulated rates of speciation and extinction under a range of dispersal parameters. Net diversification rates are calculated from the difference between speciation and extinction rates. This data allows the creation of Figure A4 in Supporting information, Appendix 1.

de:
Resource Title: Supplementary material Appendix 1 Figures
    Size: 26270 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2946e2c8-9f5c-4ed8-bce2-13069fcb6faf/download/donati_et_al_dispersal_global_prevalence_traits_figures_supp_mat.r
    Description: Supplementary material Appendix 1 Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages". accepted in Ecography, August 2019

biodiversity

display_name: biodiversity

dispersal

display_name: dispersal

ecology

display_name: ecology

reef-fish

display_name: reef-fish

traits

display_name: traits


en:
License: GPL-v2
The R script presents an advanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space.
The example demonstrates the first-stage selection of squares (km2) in the ALL-EMA sampling design using modern sampling techniques such as unequal probability sampling with fixed sample size, balanced sampling, stratified balancing and geographic spreading. Sampling is done with unequal probabilities and weights defined by power allocation to give equal weight to extrapolations to the total agricultural area of Switzerland and two stratifications of predefined interest (regions and agricultural production zones). Calibration is used to limit the distribution of the sampling weights. The sample sizes are almost fixed within the strata and evenly distributed across the years of a temporal rotation plan, which is favourable for the organisation of the field survey. Sampling also ensures an optimal (annual) distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on probability theory is straightforward.
Ecker, K.T., Meier, E.S. & Tillé, Y. 2023. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment 195.

en: R script and input data for "ALL-EMA sampling design"

en: balanced-sampling habitat vegetation unequal-probability multi-stage

envi

de: Umwelt

de:
Resource Title: R script
    Size: 10670 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/sample_selection_s1.r
    Description:

de:
Resource Title: data
    Size: 22605 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/89264e93-545c-4794-b6eb-46247ec92310/download/s0.csv
    Description:

balanced-sampling

display_name: balanced-sampling

habitat

display_name: habitat

multi-stage

display_name: multi-stage

unequal-probability

display_name: unequal-probability

vegetation

display_name: vegetation


de: EnviDat

en:
Summary
* Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland
* R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis
 Data
The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir.
Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html).
 Codes
R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels:
* GEV (Generalized Extreme Value)
* GPD and GPDd (Generalized Pareto Distribution including declustered version)
* eGPD (extended Generalized Pareto Distribution)
* MEV (Metastatistical Extreme Value)

en: Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs

en: reservoir-inflow low-flow extreme-values return-periods alpine-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:
Resource Title: Daily Luzzone Reservoir Inflow 01-01-2000 to 31-12-2019
    Size: 261834 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/f3b117de-ba26-42dd-b958-e46e826222e4/download/luz.csv
    Description: Daily total water inflow to Luzzone reservoir. Natural inflow (LUZ_inflow_raw) is back-calculated based on daily water level in reservoir (removing hydropower inputs and spills). Linear interpolation between daily values is used to bring all inflow values into positive space (LUZ_inflow_intrp).

de:
Resource Title: R codes for Extreme Values Analysis
    Size: 35946 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/6647b3fe-62a5-461b-8b22-be7bcdfb51be/download/r_codes.zip
    Description: Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events

alpine-precipitation

display_name: alpine-precipitation

extreme-values

display_name: extreme-values

low-flow

display_name: low-flow

reservoir-inflow

display_name: reservoir-inflow

return-periods

display_name: return-periods


en:
The data set contained in this repository was used in the analysis by Mayer et al. (2023):
Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.

en: Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations

en: avalanche-size natural-avalanches machine-learning snowpack-model avalanche

de:
Resource Title: dataForAvalancheSizeModelDevelopment.csv
    Size: 423741 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/49e9e29b-683a-4784-a3ab-0c02d2e0902b/download/dataforavalanchesizemodeldevelopment.csv
    Description: Data set AV2 used for training the avalanche-size estimator (Sections 2.1.2 and 3.2 in Mayer et al.)

format: XLS

de:
Resource Title: dataForAvalancheDayModelDevelopment.csv
    Size: 1584694 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/961c07d9-5f7e-4c7b-9073-e2b31b6dab28/download/dataforavalanchedaymodeldevelopment.csv
    Description: Data set AV1 was used for training the avalanche-day classifier (Sections 2.1.1, 2.2, and 3.1 in Mayer et al.).

de:
Resource Title: dataForValidationDavos.csv
    Size: 74355 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/38836706-8b98-47a5-9f94-a3b5e88553e2/download/davos_validation.csv
    Description: Data set AV3 was used for validation of the avalanche-day classifier (Sections 2.1.3 and 3.3(1) in Mayer et al.).

de:
Resource Title: dataForValidationWithDangerLevels.csv
    Size: 34614625 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/fac61ade-ba4c-40bc-bc90-f47c763e153c/download/dataforvalidationwithdangerlevels.csv
    Description: Data set DL was used for validation of the avalanche-day classifier and the avalanche-size estimator. The data set contains the quality-checked danger levels merged with the respective SNOWPACK simulations (Sections 2.3 and 3.3(2) in Mayer et al.).

avalanche

display_name: avalanche

avalanche-size

display_name: avalanche-size

machine-learning

display_name: machine-learning

natural-avalanches

display_name: natural-avalanches

snowpack-model

display_name: snowpack-model


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Guidi, C., Lehmann, M.M., Meusburger, K., Saurer, M., Vitali, V., Peter, M., Brunner, I., Hagedorn, F. (accepted). Tracing sources and turnover of soil organic matter in a long-term irrigated dry forest using a novel hydrogen isotope approach. Soil Biology and Biochemistry.
Please cite this paper together with the citation for the datafile.
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris).
Data include: (1) Isotopic composition (stable isotope ratios of non-exchangeable hydrogen δ2Hn, carbon δ13C, and nitrogen δ15N) and Hn, C and N concentrations in SOM sources (fresh Pinus sylvestris needles, litter layer, fine roots), bulk SOM (organic layer, 0-2 cm, 2-5 cm, 60-80 cm), particle-size fractions (depths:  0-2 cm, 2-5 cm; cPOM: coarse POM; fPOM: fine POM; MOM: mineral-associated organic matter); (2) Mass loss, δ2Hn values and Hn concentrations of Pinus sylvestris fine roots and needle litter (litter decomposition experiments from Herzog et al. 2019, ISME journal, and Guidi et al. 2022, Global Change Biology); (3) Relative source contribution (foliar litter, fine roots, and mycelia) to bulk SOM and fractions estimated using Bayesian mixing models (R package MixSIAR, version 3.1.12) with irrigation and depth as fixed factors. The models were informed with δ13C, δ15N and δ2Hn values and C, N, and Hn concentrations of foliar litter, roots, and mycelia as input sources. Given the kinetic isotope fractionation occurring during microbial SOM decomposition, the mixing models were informed with isotope fractionation factors, representing the isotope enrichment from sources to soils; (4) Fraction of new organic Hn (Fnew) over the irrigation period, calculated using a simple end-member mixing model according to Balesdent et al. (1987) and mean residence time estimated as MRT = - t / ln (1 - Fnew), with t time in years since irrigation started and assuming single-pool model with first-order kinetics.

en: Sources and turnover of soil organic matter in Pfynwald irrigation experiment

en: stable-isotopes soil-organic-matter-dynamics bayesian-mixing-models soil--fractions non-exchangeable-hydrogen litter-decomposition

bayesian-mixing-models

display_name: bayesian-mixing-models

litter-decomposition

display_name: litter-decomposition

non-exchangeable-hydrogen

display_name: non-exchangeable-hydrogen

soil--fractions

display_name: soil--fractions

soil-organic-matter-dynamics

display_name: soil-organic-matter-dynamics

stable-isotopes

display_name: stable-isotopes


en: Quantifying the rates of soil redistribution worldwide poses a significant challenge, which has been addressed using various methods such as direct sediment measurements, models, and the use of isotopic, geochemical, and radionuclide tracers. Among these tracers, the isotope of Plutonium, specifically 239+240Pu, is a relatively recent addition to the study of soil redistribution. However, there is still a lack of direct validation for 239+240Pu as a tracer for soil redistribution. To address this gap, we conducted a study in Southern Italy using a unique sediment yield dataset that extends back to the initial fallout of 239+240Pu. Soil samples were collected from the catchment area as well as undisturbed reference sites, and 239+240Pu was extracted, measured using ICP-MS, and converted into soil redistribution rates.

en: Plutonium-239+240 and sediment yield data for a small catchment in Southern Italy

en: tracking soil-degradation sediment-transport soil-erosion fallout-radionuclides

de:
Resource Title: Reference Pu samples
    Size: 17622 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/059d2510-a522-411b-bb6d-4e8f1129c6b0/download/pu_reference_meusburger.xlsx
    Description: We have collected 19 Bulk soil samples in and 3 depth incremental soil profiles in undisturbed reference locations.

de:
Resource Title: Erosion Pu samples
    Size: 4842 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/bb11e07d-abd4-43dd-9eaf-31f9f17665b6/download/pu_erosion_meusburger.csv
    Description: We have measured Pu-239+240 in soil samples at erosional sites in the catchment.

fallout-radionuclides

display_name: fallout-radionuclides

sediment-transport

display_name: sediment-transport

soil-degradation

display_name: soil-degradation

soil-erosion

display_name: soil-erosion

tracking

display_name: tracking


en:
What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.
Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites.
When and where was the data created / extracted: Summer 2020-2021

en: Raw data-Publication cross-resistance in ash - New Phytologist

en: defense-chemistry cross-resistance fraxinus invasive-species emerald-ash-borer intraspecific-variation ash-dieback

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

ash-dieback

display_name: ash-dieback

cross-resistance

display_name: cross-resistance

defense-chemistry

display_name: defense-chemistry

emerald-ash-borer

display_name: emerald-ash-borer

fraxinus

display_name: fraxinus

intraspecific-variation

display_name: intraspecific-variation

invasive-species

display_name: invasive-species


en: The dataset includes leaf spectroscopy, leaf traits and genetic data for oriental and european beech trees at two mature forest sites (Allenwiller in France and Wäldi in Switzerland) sampled in summer 2021 and 2022 for top and bottom of canopy leaves.

en: Oriental and European beech spectral, traits and genetics data

en: species-classification assisted-migration fagus-sylvatica-subsp-orientalis fagus-sylvatica-l predictive-provenancing spectroscopy traits assisted-gene-flow

envi

en: Environment

de:
Resource Title: Allenwiller genetic data
    Size: 20582 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/94ad6524-13ef-4866-b74f-e13cf95ef7c8/download/genetic_data_allenwiller.xlsx
    Description:

de:
Resource Title: Wäldi genetic data
    Size: 19505 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/0df9b293-4846-4868-a1df-331cd202e098/download/genetic_data_waldi.xlsx
    Description:

de:
Resource Title: Wäldi spectral and traits data
    Size: 1983730 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/19b90c28-f00f-42b7-942d-133ac9295d84/download/spectral_trait_data_waldi.xlsx
    Description: Orietnal and European beech leaf spectral and trait data for top and bottom of canopy leaves

de:
Resource Title: Allenwiller spectral and traits data
    Size: 3291434 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/24cfc8e6-1405-477f-a4cb-4c8fa89f52ee/download/spectral_trait_data_allenwiller.xlsx
    Description: Orietnal and European beech leaf spectral and trait data for top and bottom of canopy leaves

assisted-gene-flow

display_name: assisted-gene-flow

assisted-migration

display_name: assisted-migration

fagus-sylvatica-l

display_name: fagus-sylvatica-l

fagus-sylvatica-subsp-orientalis

display_name: fagus-sylvatica-subsp-orientalis

predictive-provenancing

display_name: predictive-provenancing

species-classification

display_name: species-classification

spectroscopy

display_name: spectroscopy

traits

display_name: traits


en:
This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article:
Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91
We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg.

en: Glide-snow avalanche activity on Dorfberg, Davos, Switzerland

en: snowpack-simulation avalanche avalanche-activity glide-snow-avalanche time-lapse-photography

envi

de: Umwelt

de:
Resource Title: SNOWPACK simulations
    Size: 719769784 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/73dee7b2-a419-4fd2-ac0e-585bc0138d90/download/snowpack.zip
    Description: SNOWPACK simulations (.pro and .smet) covering season 2008/09 to 2021/22 at 10 virtual locations on Dorfberg. The locations correspond to the most common glide-snow avalanche paths.

de:
Resource Title: Glide-snow avalanche activity
    Size: 88583 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/0aca99e1-7b3d-492f-a7bb-2756e5b74bbd/download/events.csv
    Description: Table that contains all glide-snow avalanche events that were detected in time-lapse photographs (season 2008/09 to 2021/22). The columns are explained in the README.txt

de:
Resource Title: README
    Size: 1996 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/26a702a9-37e6-4dc9-9ce9-e7a223d73bff/download/readme.txt
    Description: README.txt explaining the dataset and columns of tables in more detail.

de:
Resource Title: Glide distances for opening glide-cracks
    Size: 512266 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/7ee75315-9399-48fe-b5b1-e3ef1d2f0774/download/metadata.zip
    Description: This folder contains all glide-cracks where glide-distances were extracted from time-lapse photographs. Glide-distances were calculated in x-direction (width) and y-direction (downslope, length) by georeferencing the images.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snowpack-simulation

display_name: snowpack-simulation

time-lapse-photography

display_name: time-lapse-photography


de: EnviDat

en:
Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dorée phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, -i-Scaphoideus titanus-/i- and -i-Orientus ishidae-/i-. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors.
The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both -i-S.titanus-/i- and -i-O.ishidae-/i-. Eventually, the need to adapt the current FD management strategies are highlighted.

en: Gone-wild grapevines in forests may act as a potential habitat for “Flavescence dorée” phytoplasma vectors and inoculum

en: insect-vectors egg-development orientus-ishidae southern-switzerland scaphoideus-titanus vitis grapevine-yellows

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:
Resource Title: Table 2. Embryonic development time.
    Size: 14233 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/73d4cc5b-0885-46a2-a11d-a11e30b44ddb/download/table_2.docx
    Description: Embryonic development time expressed as degree-days and days for gone-wild grapevines (GWGV) and the control. N = number of hatched nymphs; EDdd_min and EDdd_max = degree-days accumulated at the first and last hatching, respectively; EDdd_mean = mean accumulated degree-days; DDA = degree-days accumulated between first and last hatching; EDt_min and EDt_max = minimal and maximal time (days) of embryonic development, respectively; EDt_mean = mean time (days) of embryonic development; SE = standard error; HD = hatching period duration in days.

de:
Resource Title: Results of molecular analysis on sampled leaf material.
    Size: 14060 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/613cd979-13bb-45ae-a613-14eb643acfca/download/molecular_analysis_gwgv_leaves_2021.xlsx
    Description: Results of molecular analysis on sampled leaf material.

de:
Resource Title: Table 1. Plot characteristics and results of molecular analysis, trap captures, and total hatchings.
    Size: 24362 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/bad56aea-8ff7-4df1-a31c-4c5f6ae584d5/download/table_1.docx
    Description: Plot characteristics in terms of type of experiment (M = molecular analysis; T = traps for adult insects; H = hatching experiment), coordinates, region, mean slope, distance from nearest vineyard (DV), last year in which plot was registered as vineyard (Last_T); symptomatic expression of Grapevine Yellows (GY); result of molecular analysis for FDp detection on gone-wild grapevines (pos = positive detection with Cq < 35; neg = negative detection); number (nr.) of yellow sticky traps (if applicable) and Scaphoideus titanus and Orientus ishidae captures per single trap; absolute (N) and specific (N / kg wood) hatching events of S. titanus and O. ishidae per plot.

de:
Resource Title: Nymph hatching raw data.
    Size: 31337 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/7d753117-1e90-4d0f-93d4-e4044fd413aa/download/hatchings_gwgv_2022.xlsx
    Description: Nymph hatching raw data used for the inversed Kaplan-Meier.

de:
Resource Title: Primer sequences used for internal control of amplification of the insects (Cytochrome Oxydase I).
    Size: 11759 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/91279118-86d9-4a5a-ba0b-4e4b26e165ba/download/coi_primer_sequence.xlsx
    Description: Primer sequences used for internal control of amplification of the insects (Cytochrome Oxydase I).

egg-development

display_name: egg-development

grapevine-yellows

display_name: grapevine-yellows

insect-vectors

display_name: insect-vectors

orientus-ishidae

display_name: orientus-ishidae

scaphoideus-titanus

display_name: scaphoideus-titanus

southern-switzerland

display_name: southern-switzerland

vitis

display_name: vitis


en: The Bryophytes of Europe Traits (BET) dataset includes values for 65 biological and ecological traits and 25 bioclimatic variables for all 1816 bryophytes included in the European Red List (Hodgetts et al. 2019). The traits are compiled from several regional trait datasets and manually complemented using Floras, species-specific literature and expert knowledge. The bioclimatic variables are calculated using the European range of each species. Details regarding the trait compilation and extraction of bioclimatic variables can be found in the corresponding data paper (Van Zuijlen et al. 2023).

en: liverworts mosses life-history-traits bioclimatic-variables red-list hornworts iucn indicator-values

de:
Resource Title: BET_explanations
    Size: 249953 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/9ac4a865-5bb2-479b-93f4-b3bfd99c7ada/download/bet_explanations.pdf
    Description: PDF including the (trait) explanations.

format: PDF

media_type: application/pdf

de:
Resource Title: BET_data
    Size: 1072488 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/d2d2f958-051c-4638-a808-88547cc64d92/download/betdata.txt
    Description: Text file including the BET dataset.

de:
Resource Title: BET_data_explanations
    Size: 981939 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/6367f57f-1894-4f1b-997d-068d4d7511cc/download/betdata.xlsx
    Description: Excel file including the BET dataset and (trait) explanations.

bioclimatic-variables

display_name: bioclimatic-variables

hornworts

display_name: hornworts

indicator-values

display_name: indicator-values

iucn

display_name: iucn

life-history-traits

display_name: life-history-traits

liverworts

display_name: liverworts

mosses

display_name: mosses

red-list

display_name: red-list


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography
Please cite this paper together with the citation for the datafile.
The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (-1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies.

en: anthropogenic-management climate soil-properties nutrient-addition microbial-respiration herbivore-exclusion microbial-biomass-carbon

anthropogenic-management

display_name: anthropogenic-management

climate

display_name: climate

herbivore-exclusion

display_name: herbivore-exclusion

microbial-biomass-carbon

display_name: microbial-biomass-carbon

microbial-respiration

display_name: microbial-respiration

nutrient-addition

display_name: nutrient-addition

soil-properties

display_name: soil-properties


en: The specific surface area (SSA) of different snow types were measured with the IceCube instrument and the Scanco Medical microCT 40. In addition, the snow particles created during the preparation of IceCube samples were counted. The difference in SSA between these instruments is explained by the formation of the surface particles. A numerical simulation using TARTES simulation support the observations.

en: icecube snow microct specific-surface-area intercomparison

de:
Resource Title: TARTES simulations
    Size: 233652 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/da0c5370-5987-4849-b776-3a32928722f3/download/tartes_simulations_icvsct.ipynb
    Description: Jupyter notebook with TARTES simulations.

de:
Resource Title: Statistics of samples
    Size: 11192 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/b9c6ddcf-e197-4c42-9715-c18dbf6cfba4/download/final_relativepercentagedifference.xlsx
    Description:

de:
Resource Title: Grain survey of snow particles
    Size: 1135587 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/b54b0c06-c651-4687-b156-67f0e5136b31/download/final_grainsurvey_data_weight.xlsx
    Description: The file contains all measurements of the artificial particles for snow types A, B, C, D and E, including the artificial particle mass in the Petri dish.

de:
Resource Title: SMP_measurements
    Size: 485022 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/8bf8eb60-0a76-4e41-a564-6ffd62bc0bd1/download/smp.zip
    Description: SMP measurement files for snow types A, B, C and D.

de:
Resource Title: IceCube and MicroCT data
    Size: 25666 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/fa34731a-ab3c-4400-8a6b-0e059e268dca/download/final_ic_and_microct_data.xlsx
    Description: The file contains all micro-CT and IC measurements for snow types A, B, C, D and E used in our study. All samples were processed (and stored)  in a cold laboratory at -15°C.

de:
Resource Title: artificial_snow_data set
    Size: 10754 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/1da22e66-c2d4-4e51-86b8-d429fd9a8a9f/download/artificial_snow_data.xlsx
    Description: The file contains all micro-CT and IC measurements of the artificial snow data set. The data set was originally produced to investigate the influence of black carbon on SSA measurements.

de:
Resource Title: greenland_summit_density_ssa_data
    Size: 60342 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/9e8148c1-be7d-4f71-b356-2afa52cff363/download/all_data_greenland_2015.xlsx
    Description: The file contains all data for the plot in figure 1 of the co-located density and SSA measurement at Summit, Greenland in May 2015, conducted by Schneebeli, Proksch, Schmid.

de:
Resource Title: Influence of black carbon on the measurement of the specific surface of snow with the near infrared method - Philipp Baumann
    Size: 7484371 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/ea53a98b-702f-4557-89ae-736616525fbf/download/semesterarbeit_philipp_baumann_v3.pdf
    Description: These experiments investigate different possible errors by measuring the specific surface area (SSA) of snow with the near infrared method. The influence of black carbon on this measurement was disproved, the theory was therefore validated. It shows that sunlight has no influence on the measurement with the IceCube. Wind drift snow as thin layer on the sample can increase the measured value of the specific surface by a few percent. This could be part of the error, observed in former measurements at SLF. As reference for the measured SSA values with the near infrared method, computer tomography was used to verify the SSA values.

icecube

display_name: icecube

intercomparison

display_name: intercomparison

microct

display_name: microct

snow

display_name: snow

specific-surface-area

display_name: specific-surface-area


de: EnviDat

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

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

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

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

envi

de: Umwelt

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

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

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

angiospermae

display_name: angiospermae

antwerp

display_name: antwerp

floral-inventories

display_name: floral-inventories

floral-resources

display_name: floral-resources

paris

display_name: paris

plants

display_name: plants

poznan

display_name: poznan

tartu

display_name: tartu

urban

display_name: urban

zurich

display_name: zurich


en:
Cities are socio-ecological systems that filter and select species, thus establishing unique species assemblages and biotic interactions. Urban ecosystems can host richer wild bee communities than highly intensified agricultural areas, specifically in resource-rich urban green spaces such as allotment and family gardens. At the same time, urban beekeeping has boomed in many European cities, raising concerns that the fast addition of a large number of managed bees could deplete the existing floral resources, triggering competition between wild bees and honeybees. The data has been used to investigated the interplay between resource availability and the number of honeybees at local and landscape scales and how this relationship influences wild bee diversity.
This dataset contains the raw and processed data supporting the findings from the paper: "Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city".
The data contains:
1. Bee trait measurements at the species and individual-level  of five functional traits.
2. The values of the feeding niche partitioning (functional dissimilarity to honeybees)
3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites.

en: Niche partitioning between wild bees and honeybees

en: beekeeping pollinator-experiment urbanization urban-biodiversity resource-availability wild-bees city4bees bettergardens honeybees zurich gardens urban-ecosystems

envi

en: Environment

de:
Resource Title:
    Size: 31326 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e058b7f-925c-4187-8d58-28fba31ed64d/resource/63ee6a25-0fef-4f42-95de-e835d7fb0c94/download/data_s1.traits_bees.csv
    Description: Mean, standard deviation , minimum  and maximum values of six functional traits. The data has the following structure:
- Bee_species: bee scientific name
- mean_trait: mean value
- sd_trait: standard deviation
_min_trait: minimum value
- max_trait: maximum value
- trait: the six traits used. ITD = Intertegular distance (mm); Pheno.duration = duration of the phenology; Pheno.start = start of the phenology; Pheno.end = end of the phenology; Rel.tongue.length= relative tongue length  (mm); Daytime.activity = daily activity (h)
DistNichePart: functional dissimilarity in a multidimentional trait space defined by five traits between wild bee individuals of a wild bee species and the honeybee individuals. Values are at the species level.

de:
Resource Title:
    Size: 2345 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e058b7f-925c-4187-8d58-28fba31ed64d/resource/f173b2b5-9d37-4836-95e3-c397f2687101/download/metadata.csv
    Description: Metadata for the predictors and response dataset

de:
Resource Title:
    Size: 4090 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e058b7f-925c-4187-8d58-28fba31ed64d/resource/285d199d-bef4-4d18-b01f-1e95eccfd6ad/download/readme.csv
    Description: Metadata for the predictor and response dataset

de:
Resource Title:
    Size: 200011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e058b7f-925c-4187-8d58-28fba31ed64d/resource/43152ded-fa38-4a75-938c-bf63d7018ad1/download/city4bees_traits.exp.csv
    Description: The data contains the following columns:

    SiteID: numeric, the identity of the garden where the bee was sampled.
    Taxonname: character, species name
    Lecty: numeric discreet, a mesure of specialisation degree. Levels: 1 = monolectic; 2=oliolectic; 3=polilectic
    Pheno.start= numeric discreet, the starting week of the flying activity.
    Pheno.end= numeric discreet, the ending week of the flying activity.
    Pheno.duration=numeric discreet, Pheno.end - Pheno.start
    Daytime.activity = numeric continuous, individual-level measure of the day hour when the bee was sampled
    ITD = numeric continuous, individual-level measure of the InterTegular Distance, a metric of mobility in mm.
    Rel.tongue.length =numeric continuous, individual-level measure of the relative tongue length (Tongue length / ITD), a metric of specilaisation degree, in mm.

de:
Resource Title:
    Size: 10415 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4e058b7f-925c-4187-8d58-28fba31ed64d/resource/24ac489e-5de8-4c4f-ae58-74dddd5e08bb/download/response_predictors_modelling.csv
    Description: Response and predictors used for the SEMs

beekeeping

display_name: beekeeping

bettergardens

display_name: bettergardens

gardens

display_name: gardens

honeybees

display_name: honeybees

pollinator-experiment

display_name: pollinator-experiment

resource-availability

display_name: resource-availability

urban-biodiversity

display_name: urban-biodiversity

urban-ecosystems

display_name: urban-ecosystems

urbanization

display_name: urbanization

wild-bees

display_name: wild-bees


napf-soil-wetness-monitoring-data

en:
The dataset contains the soil wetness monitoring data from the publication Wicki et al. (2022). It was collected in Wasen i.E. (Napf area, Switzerland).
The monitoring data is quality-controlled and aggregated to hourly values and it is provided for the study period 2019-04-05 to 2022-04-30.
The following information is contained (by column):
* Timestamp (UTC+1 time zone)
* Site: Slope (47.02486 N, 7.81960 E), Flat (47.02302 N, 7.81760 E)
* Sensor type
* Measure: VWC = volumetric water content [m3 m-3], MP = matric potential [hPa], TEMP = temperature [°C], PREC = precipitation [mm]
* Sensor number (per site each sensor is provided a unique identifier)
* Installation depth [m]
* Homogenization flag: If the data is considered homogeneous, it is given the flag 1, else the flag 0 is given
* Sensor value
* Normalized value: Normalization was conducted for VWC (saturation) and MP values
Wicki, A., Lehmann, P., Hauck, C., and Stähli, M.: Impact of topography on in-situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-211, in review, 2022.

en: Napf soil wetness monitoring data

en: landslide-early-warning shallow-landslides soil-moisture matric-potential monitoring

title_for_slug: napf-soil-wetness-monitoring-data

landslide-early-warning

display_name: landslide-early-warning

matric-potential

display_name: matric-potential

monitoring

display_name: monitoring

shallow-landslides

display_name: shallow-landslides

soil-moisture

display_name: soil-moisture


en:
This data set includes material and results described in the related research article:
Bergfeld, B., van Herwijnen A., Bobillier, G., Rosendahl P., Weißgraeber P., Adam V., Dual, J., and Schweizer, J.: Temporal evolution of crack propagation characteristics in a weak snowpack layer: conditions of crack arrest and
sustained propagation, Natural Hazards and Earth System Sciences, 23, 293-315, https://doi.org/10.5194/nhess-23-293-2023, 2023.
We performed a series of propagation saw test experiments, up to ten meters long, over a period of 10 weeks and analyzed these using digital image correlation techniques. We derived the elastic modulus of the slab, the elastic modulus of the weak layer and the specific fracture energy of the weak layer with a homogeneous and a layered slab model. During crack propagation, we measured crack speed, touchdown distance and the energy dissipation due to compaction and dynamic fracture. Our data set provides unique insight and valuable data to validate models.

en: Time series data on dynamic crack propagation in long propagation saw tests

en: dynamic-crack-propagation propagation-saw-test crack-propagation snow-avalanche snow-mechanics experiment

de:
Resource Title: SNOWPACK modelling
    Size: 4563357 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/24afd6a9-cb86-4a5b-b70b-aec194608c81/resource/79d1ace4-f5e6-4f7f-a732-3d282b8306fa/download/snowpack.zip
    Description: The snow cover model SNOWPACK (version 3.60) was used to simulate the evolving snow stratigraphy at our field site. The model was driven with data from an automatic weather station which was located 100m next to the field site (FLS_bunker_snowpack.smet). The SNOWPACK initiation file (FLS_bunker_snowpack.ini) contains the selected model parameters that result in the modeled snow stratigraphy (FLS_bunker_snowpack.pro).

de:
Resource Title: Snowpack data and crack propagation characteristics
    Size: 17198 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/24afd6a9-cb86-4a5b-b70b-aec194608c81/resource/8a1d6373-3447-4c43-b483-6383d3fee307/download/experimental_data.xlsx
    Description: Snowpack data includes the elastic modulus (stiffness properties) of the slab, the elastic modulus of the weak layer, and the specific fracture energy of the weak layer determined with a homogeneous and a layered slab model. During crack propagation, we measured the crack speed, touchdown distance, crack arrest length and energy dissipation due to compaction and dynamic fracture.

de:
Resource Title:  Videos of crack propagation
    Size: 3605500859 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/24afd6a9-cb86-4a5b-b70b-aec194608c81/resource/1081573c-53f5-4f3c-8630-b2f944320e73/download/crack_propagation_videos.zip
    Description: The videos show the cracking process in the Propagation Saw Tests (flat field). The upper panel shows strain on top of the recorded movie frames. The second row shows vertical (w, blue line) and horizontal (u, orange line) displacement fields. The third and fourth row show the first and second time derivatives, namely the velocity and acceleration field.

de:
Resource Title: Sustained crack propagation index
    Size: 52686 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/24afd6a9-cb86-4a5b-b70b-aec194608c81/resource/9c7ff498-88f0-4724-8d49-9f5ea1557bc4/download/ssp.zip
    Description: Index of self-sustained crack propagation SSP (ssp_measured.xlsx) with time. The self-sustained crack propagation index SSP was also modelled for simulated snow stratigraphy (ssp_modelled.xlsx) using crack speed and critical cut length parameterizations from Heierli (2005) and Richter et al. (2019), respectively.

crack-propagation

display_name: crack-propagation

dynamic-crack-propagation

display_name: dynamic-crack-propagation

experiment

display_name: experiment

propagation-saw-test

display_name: propagation-saw-test

snow-avalanche

display_name: snow-avalanche

snow-mechanics

display_name: snow-mechanics


en: Data are compiled that have been used to demonstrate the impact of high water partial pressure on X-ray absorption spectra of ice.

en: An ice oxygen K-edge NEXAFS spectroscopy data set on gas-phase processing

en: chemistry ice atmosphere laboratory-study snow-atmosphere-interactions

de:
Resource Title:
    Size: 434478 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/316d5fcf-76f0-4921-807f-2ea1d3e9f7bc/resource/bb9c5895-b2f0-4451-9869-b869dc1e081e/download/spectraandphotonfluxdata.zip
    Description: Near Ambient Pressure partial Auger-Meitner electron yield X-ray absorption spectra and photon flux data. X-ray energy in eV in column 1, analyzer electron count intensity in arb. units in column 2.

de:
Resource Title:
    Size: 3858 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/316d5fcf-76f0-4921-807f-2ea1d3e9f7bc/resource/4523fcaa-78bf-456c-8c56-f60196724043/download/datalist.csv
    Description: The table lists all NEXAFS raw data with the following columns:

* name:						raw file name
* xRayEkinRange_eV: 		Smallest and largest X-ray photon energy in eV
* scientaPassEnergy_eV: 	Pass energy of electron analyzer in eV
* scientaDwellTime_ms: 		Dwell time of electron analyzer in ms
* regionName:				O K-edge for all data
* scientaAcquisitionMode: 	Fixed energy (snapshot) mode
* scientaEkinRange_eV: 		Smallest and largest energy of the kinetic energy window used for detection in this work
* scientaEkinStep_eV		Not defined in fixed energy mode
* scientaLensMode:			Tune table
* scientaRegionIterations: 	Iterations (sweeps)
* scientaSequenceIterations: Iterations (sweeps)
* sampleTemp_dC: 			Temperature as monitored at the sample holder in °C
* cellPressure_mbar: 		Total pressure in measurement cell in mbar
* iceTemp_dC: 				Temperature of ice sample calculated based on vapour pressure (assuming total pressure equals partial pressure of water) in °C
* smplX_mm: 				positon of measurement spot, x dimension in mm
* smplY_mm: 				positon of measurement spot, y dimension in mm
* smplZ_mm: 				positon of measurement spot, z dimension in mm
* sealingTemp:				temperature at base of sample manipulator
* lastModifiedDatestr: 		time and date when data aquisition was finished
* sample: 					sample description

de:
Resource Title:
    Size: 3057 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/316d5fcf-76f0-4921-807f-2ea1d3e9f7bc/resource/e654832d-1c8e-4d9c-a140-e19a29dbebea/download/processeddata.zip
    Description: Processed data as shown in Figure 4 of publication. X-ray energy in eV in column one, electron count intensity in arb. units in column 2.

atmosphere

display_name: atmosphere

chemistry

display_name: chemistry

ice

display_name: ice

laboratory-study

display_name: laboratory-study

snow-atmosphere-interactions

display_name: snow-atmosphere-interactions


de: EnviDat

en: The dataset contains data from a survey, which was conducted in a periurban region close to Berne, Switzerland. The survey was conducted in Fall 2018 and contained opinion questions about the energy transition. Additionally, spatial data was collected using a PPGIS. While the opinion data is included in the data set, the spatial data is not. For more explanation, please consider the information sheet, the related publications or to contact the authors.

en: Implementing the energy transition at municipal level in Switzerland: A regional survey

en: switzerland energy-transition participation survey municipality

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:
Resource Title: Surveydata_withoutspatialdata
    Size: 1078613 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/69a97cec-2062-464c-bd18-565d347e87cf/resource/07932f6b-27b2-4150-86a0-f33bbbfdc717/download/surveydata_withoutspatialdata.csv
    Description:

de:
Resource Title: Survey_Information_Abbreviations
    Size: 215077 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/69a97cec-2062-464c-bd18-565d347e87cf/resource/b110fd73-5c13-4f6c-aec4-95c8887be65b/download/survey_information_abbreviations.pdf
    Description:

energy-transition

display_name: energy-transition

municipality

display_name: municipality

participation

display_name: participation

survey

display_name: survey

switzerland

display_name: switzerland


en:
Recent publications about declines in arthropod biomass, abundance and species diversity
raise concerns and call for measures. Agricultural intensification is likely one cause for the negative trends. But rare long-term arthropod surveys conceal trends in arthropod communities in agricultural land. Here, we report about a standardized sampling of arthropod fauna in a Swiss agricultural landscape, repeated over 32 years (1987, 1997 and 2019). We sampled 8 sites covering 4 semi-natural and agricultural habitat types. Four trap types  were used to capture a wide range of flying and ground dwelling arthropods between May and July. Over the three sampling periods, 58’255 specimens of 1’343 species were analysed. Mean arthropod biomass, abundance and species richness per trap was significantly higher in 2019 than in prior years and gamma diversity of the study area was highest in 2019. Biomass and abundance increased stronger in the flight traps than in the pitfall traps. The implementation of agri-environmental schemes has improved habitat quality since 1993, while landscape composition and pesticide and fertilizer use remained stable over the study period, both contributing to the findings. The results of this study contrast with outcomes of comparable investigations and highlight the importance of further long-term investigations on arthropod dynamics.
Data are provided on request to contact person against bilateral agreement.

en: Arthropod biomass, abundance and species richness trends over 32 years in the agricultural Limpach valley, Switzerland

en: switzerland long-term time-series biodiversity insect-decline

envidat

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

en: EnviDat: the Environmental Data Portal

envi

de: Umwelt

de:
Resource Title: R code
    Size: 14746 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/0e13f98d-7529-451b-80fc-72d6a2ecf76b/download/20201111_dataediting.r
    Description: R code for data editing

de:
Resource Title: Body size lookup-table
    Size: 17437 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/56e5590a-b1aa-4ba5-8ad2-6f839c6b3b85/download/koerpergroessen_carabidae_edjf.csv
    Description: Carabidae

de:
Resource Title: Species incidence per year
    Size: 30771 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/96edac02-f93b-44e3-95e0-b9e7c2dcddf1/download/incidence_freq_20210221.csv
    Description: Total abundance of species per year

de:
Resource Title: Master thesis of Regula Gygax, 1999, at University of Zürich
    Size: 5380429 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/bc0a4717-49ee-4120-aa6c-8c7dec773577/download/regula-gygax-1999-diplomarbeit-uni-zh.pdf
    Description: The study is comparing in 1997 the trapping efficiency of a newly developed combination trap with traditional window traps and yellow pan traps. Study locations in the Limpach valley matched with a subset from a larger study, which was conducted in 1987.

de:
Resource Title: Limpach1987+1997+2019_ArtInd.sql
    Size: 4269 bytes
    Format: application/x-sql
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/38baef03-5b46-4894-ba32-e0f6307c7b62/download/limpach198719972019_artind.sql
    Description: SQL query executed on WSL Fauna Database to retrieve the data

de:
Resource Title: Body size lookup-table
    Size: 617 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/bb63365b-4971-4992-af92-cdcfbf49e7c8/download/koerpergroessen_neuropteroidea_edjf.csv
    Description: Neuropteroidae

de:
Resource Title: Climate data
    Size: 44128 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/e1d5afa9-530a-4b4e-99e3-d43b6ca613cc/download/climate_data_879719_jan_july.csv
    Description: Climate data of the respective sampling years

de:
Resource Title: Limpach1987+1997+2019_ArtInd.csv
    Size: 5148268 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/a0d555bb-1dc3-4c39-884c-a6366438809a/download/limpach198719972019_artind.csv
    Description: Data extract from WSL Fauna Database containing arthropod species and abundance data from 1987, 1997, 2019

de:
Resource Title: Body size lookup-table
    Size: 6456 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/5ed0e1e9-bd33-4c8b-ac7e-8c4ec47deafc/download/koerpergroessen_heteroptera_edjf.csv
    Description: Heteroptera

de:
Resource Title: Input data - species list and trophic guilds
    Size: 163154 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/44cb422b-d09d-49b7-94fd-3b3648ad4fce/download/artliste_mittrophicguild.csv
    Description: List of found species and associated trophic guild

de:
Resource Title: Climate data
    Size: 267 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/b53622ce-6ad7-4def-b009-e5d21ceeae5a/download/climaaddition.csv
    Description: Additional climate data on climate trend

de:
Resource Title: Body size lookup-table
    Size: 16314 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/ba8c3d6b-b809-4e42-a0e4-6a858a9c7636/download/koerpergroessen_coleoptera_edjf.csv
    Description: Coleoptera

de:
Resource Title: Body size lookup-table
    Size: 47769 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/91417163-72ac-4f71-9c80-b6fed1f39218/download/koerpergroessen_araneae_edjf.csv
    Description: Araneae

de:
Resource Title: Fused catching data 1987, 1997, 2019
    Size: 5216910 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/373100d8-43f4-476b-9678-d40cc4fa47b0/download/limpach198719972019_artind.csv
    Description: Complete dataset of species and abundances per year an trap

de:
Resource Title: Body size lookup-table
    Size: 1782 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/290e0cfa-857f-4ddd-940d-96076d736419/download/koerpergroessen_formicidae_edjf.csv
    Description: Formicidae

de:
Resource Title: Body size lookup-table
    Size: 2057 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/4f8eb204-a9be-41d5-86a4-a2bb2c394169/download/koerpergroessen_syrphidae_edjf.csv
    Description: Syrphidae

de:
Resource Title: Body size lookup-table
    Size: 44183 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/2a8f6d75-ff31-41cc-bed4-7b90b6d579f0/download/koerpergroessen_staphylinidae_edjf.csv
    Description: Staphylinidae

de:
Resource Title: R code
    Size: 38710 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/888eb6a0-e541-4296-ba26-b43a87a6a938/download/20220818_dataanalysisdef.r
    Description: R code for data analyses

de:
Resource Title: Body size lookup-table
    Size: 7775 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/71e46f93-be9a-4805-b83a-3033447ff616/download/koerpergroessen_aculeata_edjf.csv
    Description: Aculeata

de:
Resource Title: Sites and traps
    Size: 8117 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/325305be-ff93-48c4-8c16-a3a4e37663ab/download/limp_sites_lookup.csv
    Description: Lookup table of trap and site locations

de:
Resource Title: Species number and abundances per trap
    Size: 56123 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/1f32e64c-1d0f-44ac-a584-7c62c053d185/download/trap_data_publication20210221.csv
    Description: Sum of species and abundances listed per trap

de:
Resource Title: Capture data with size and mass
    Size: 2804030 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/310ccd7a-b1d0-4ab1-99e4-1ba70e552fc5/download/data_publication_20210221.csv
    Description: Complete capture data including body sizes and biomass values

biodiversity

display_name: biodiversity

insect-decline

display_name: insect-decline

long-term

display_name: long-term

time-series

display_name: time-series


de: EnviDat

en:
The lateral transport of heat above abrupt (sub-)metre-scale steps in land surface temperature influences the local surface energy balance. We present a novel experimental method to investigate the stratification and dynamics of the near-surface atmospheric layer over a heterogeneous land surface. Using a high resolution thermal infrared camera pointing at synthetic screens, a 30Hz sequence of frames is recorded. The screens are deployed upright and horizontally aligned with the prevailing wind direction. The screen’s surface temperature serves as a proxy for the local air temperature. We developed a method to estimate near-surface two-dimensional wind fields at centimetre resolution from tracking the air temperature pattern on the screens. Wind field estimations are validated with near-surface three-dimensional short-path ultrasonic data. To demonstrate the capabilities of the screen method, we present results from a comprehensive field campaign at an alpine research site during patchy snow cover conditions. The measurements reveal an extremely heterogeneous near-surface atmospheric layer. Vertical profiles of horizontal and vertical wind speed reflect multiple layers of different static stability within 2m above the surface. A dynamic, thin stable internal boundary layer (SIBL) develops above the leading edge of snow patches protecting the snow surface from warmer air above. During pronounced gusts the warm air from aloft entrains into the SIBL and reaches down to the snow surface adding energy to the snow pack. Measured vertical turbulent sensible heat fluxes are shown to be consistent with air temperature and wind speed profiles obtained using the screen method and confirm its capabilities to investigate complex in situ near-surface heat exchange processes.
Here you find the data and the documented code used to create the plots in the publication.

en: Quantifying Surface Heat Exchange over Heterogeneous Land Surfaces at Ultra-High Spatio-Temporal Resolution

en: 2d-wind-field 2d-temperature-field snow-atmosphere-interactions surface-heat-exchange snow-melt near-surface-atmospheric-layer patchy-snow-cover infrared-thermography

envidat

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

de: EnviDat: das Umwelt-Datenportal

envi

de: Umwelt

en: Environment

de:
Resource Title: WEIRD_code
    Size: 16169 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/048b0129-b533-4310-8159-3c111b431fc7/resource/96475391-5283-4517-82a3-f34cc2a25d2e/download/code.zip
    Description: folder containing the source code for the WEIRD method. Written in JULIA.

de:
Resource Title: kaijo
    Size: 4200785 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/048b0129-b533-4310-8159-3c111b431fc7/resource/fedbaac5-81b4-4a8c-a8c0-67467e18dd4f/download/kaijo.csv
    Description: Data measured with a 3D short-path ultrasonic anemometer in close vicinity to the screens. Note that the time stamps are in local time (GMT+2).

de:
Resource Title: IRdata
    Size: 3360138797 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/048b0129-b533-4310-8159-3c111b431fc7/resource/376ff6d3-b4a3-4dc8-b34b-8ba3c568b5cc/download/irdata_per3.nc
    Description: Sequence of 2700 frames recorded with the thermal IR cam. The data is stored as the variable 'irdata' in the .nc file.

infrared-thermography

display_name: infrared-thermography

near-surface-atmospheric-layer

display_name: near-surface-atmospheric-layer

patchy-snow-cover

display_name: patchy-snow-cover

snow-melt

display_name: snow-melt

surface-heat-exchange

display_name: surface-heat-exchange


en:
This dataset contains all data, on which the following publication below is based.
**Paper Citation**:
Neff, F., Resch, M. C., Marty, A., Rolley, J. D., Schütz, M., Risch, A. C, Gossner, M. M. 2020. Long-term restoration success of insect herbivore communities in semi-natural grasslands: a functional approach. Ecological Applications, 30, e02133. [10.1002/eap.2133](https://doi.org/10.1002/eap.2133)
Please cite this paper together with the citation for the datafile.
 Methods
 Study site
The study area is situated within and nearby to Eigental nature reserve (47°27’36” to 47°29’06” N, 8°37’12” to 8°37’44” E, 461 to 507 m a.s.l.) in the vicinity of Zurich airport (Canton Zurich, Switzerland). Mean annual precipitation and temperature is 903 ± 136 mm and 9.14°C ± 0.50°C (mean ± SD for 2007-2017 (*MeteoSchweiz 2018*)). In 1967, the Eigental nature reserve was established to protect small and isolated remnants of species-rich, semi-natural grasslands (roughly 12 ha), which were embedded in an otherwise intensively managed landscape. It is characterized by oligo- to mesotrophic Molinion (semi-wet, matrix species *Molinia caerulea*) and Mesobromion (semi-dry, matrix species *Bromus erectus*) meadows (*Delarze et al. 2015*), reflecting small-scale habitat heterogeneity, mainly due to site-specific groundwater levels and slope inclination. As in most Central European grasslands, management is necessary to prevent shrub and tree invasions as well as to secure low levels of available soil nutrients and thus to maintain these species-rich habitats ([*Poschlod and WallisDeVries 2002*](https://doi.org/10.1016/S0006-3207(01)00201-4)).
In 1990, the government of the Canton Zurich decided to enlarge the Eigental nature reserve as a counter measure against degradation and biodiversity loss in semi-natural grasslands due to overutilization and the excessive input of nutrients (mostly nitrogen). Eleven patches of adjacent intensively managed grassland (in total roughly 20 ha) were targeted to be transformed into semi-natural grasslands. As a first restoration measure, fertilization was ceased, and biomass harvested three times to remove excessive soil nutrients from the original system and thus benefit plant species with low competitive ability on the long run. In 1995, the restoration efforts were increased and a large-scale experiment comprising three restoration measures with increasing intervention intensities was implemented:
- **Harvest only**: Initial restoration measures were continued with mowing and removing of the aboveground biomass two times a year (early summer and autumn).
- **Topsoil**: Removal of topsoil, depending on the thickness of the A horizon the upper 10 to 20 cm, in four randomly selected areas within the eleven patches in late autumn 1995. The size of the restoration area depended on individual patch size (2700 to 7000 m2).
- **Topsoil + Propagules**: Plant propagules were added on half of the area where topsoil was removed via application of fresh, seed-containing hay and hand-collected propagules of target species originating from semi-dry and semi-wet species-rich grasslands with local and regional provenance (within radius of 7 to 30 km) (1995, 1996, 1997).
Management of *Topsoil* and *Topsoil + Propagules* started five years after treatment implementation and included yearly mowing and removing of aboveground biomass (late summer or early autumn). The experiment was complemented with intensively managed grassland sites that share the same agricultural history as the restored sites (**Initial**; swards dominated by *Lolium perenne*, *L. multiflorum* and *Trifolium repens*): mowing and subsequent fertilizing (manure) up to five times a year, as well as different tillage regimes. Finally, sites were selected in target semi-dry and semi-wet grasslands (**Target**) located within the Eigental nature reserve and another nature reserve nearby (Altläufe der Glatt; 47°28’29” to 47°27’41” N, 8°31’56” to 8°32’26” E, 418 to 420 m a.s.l.). The selected target sites are mown and aboveground biomass removed once a year in late summer or early autumn. For each of the five treatments, we selected eleven plots (5 m × 5 m) spread across the sites. Altogether, the experiment included 55 plots.
 Arthropod sampling
Aboveground arthropods were sampled using suction sampling on four consecutive days in early July 2017 before the grasslands were mown. Arthropods were sampled in two locations on each 5 m × 5 m plot, once in the south-western and once in the north-eastern corner to account for possible spatial heterogeneity within the plots. Arthropods were sorted to order or lower taxonomic levels and individuals were identified to species level. We focused on three groups (Hemiptera: Auchenorrhyncha, Hemiptera: Heteroptera, Orthoptera),
 Functional traits
We used two sets of functional traits in this study.
**Morphometric traits**:
Body volume, body shape, hind femur shape, hind/front leg ratio, wing length, leg length, antenna length and eye width. We used trait measurements from [*Simons et al. (2016)*](http://dx.doi.org/10.1890/15-0616.1) and [*Neff et al. (2019)*](https://doi.org/10.1007/s10980-019-00872-1) and complemented them with measurements on study specimens. These measurements were conducted using a high-resolution measuring stereo microscope (Leica DVM6, Leica Microsystems) including automated high-resolution photo stacking with the software Leica Application Suite X (LAS X, © 2018 Leica Microsystems CMS GmbH) and Leica Map Premium (Leica Microsystems, © 1996-2017 Digital Surf) at WSL Birmensdorf. The eight morphometric traits were calculated from direct measurements of body parts on specimens of all sampled species. From each species, we measured at least one female and one male specimen. Additionally, for species that show wing dimorphism, we included the different wing morphs and weighted them by their prevalence reported in literature. For few species, of which not all wing morphs were available for measurements (10 cases), we estimated relative wing length from congeneric species or from the literature.
**Life-history traits**
Based on an existing data set collected by [*Gossner et al. (2015)*](http://dx.doi.org/10.1890/14-2159.1). We included traits describing different life-history characteristics of herbivore insect species, namely: feeding specialization, feeding tissue, hibernation stage and number of generations per year, which are related to insect species’ vulnerability to changes in plant community composition, microhabitat use and disturbance tolerance. To represent potential changes in habitat moisture with abandonment of intensive land use (e.g., change in ground-water level), we also included two traits related to preferred habitat moisture of the study species: moisture preference, describing species’ optimum habitat moisture, and moisture range, which describes the species’ range of preferable moisture conditions.
 References
Delarze, R., Y. Gonseth, S. Eggenberg, and M. Vust. 2015. Lebensräume der Schweiz: Ökologie - Gefährdung - Kennarten. 3rd ed. Ott, Bern.
Gossner, M. M., N. K. Simons, R. Achtziger, T. Blick, W. H. O. Dorow, F. Dziock, F. Köhler, W. Rabitsch, and W. W. Weisser. 2015. A summary of eight traits of Coleoptera, Hemiptera, Orthoptera and Araneae, occurring in grasslands in Germany. Scientific Data 2:150013.
MeteoSchweiz. 2018. Klimabulletin Jahr 2017. MeteoSchweiz, Zürich.
Neff, F., N. Blüthgen, M. N. Chisté, N. K. Simons, J. Steckel, W. W. Weisser, C. Westphal, L. Pellissier, and M. M. Gossner. 2019. Cross-scale effects of land use on the functional composition of herbivorous insect communities. Landscape Ecology 34:2001–2015.
Poschlod, P., and M. F. WallisDeVries. 2002. The historical and socioeconomic perspective of calcareous grasslands—lessons from the distant and recent past. Biological Conservation 104:361–376.
Simons, N. K., W. W. Weisser, and M. M. Gossner. 2016. Multi-taxa approach shows consistent shifts in arthropod functional traits along grassland land-use intensity gradient. Ecology 97:754–764.

en: Grassland restoration: insects and insect traits

en: functional-diversity insects restoration long-term-experiment grassland diversity functional-traits topsoil-removal

de:
Resource Title: Plot information
    Size: 4938 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e4752eb3-24f1-48b5-a6c4-e0a4134af08d/resource/04c37490-b0c2-4681-aded-068fa4ee8290/download/plot_info.csv
    Description: Information on the experimental plots.

- **Plot**: ID of Plot
- **Treatment**: Experimental treatment
- **Landuse_history**: recent agricultural use for Initial; agricultural use before restoration for all restored sites
- **Last_tilled**: Last time the site was tilled
- **Intensity**: Frequency and intensity of mowing and manuring (*intensity1*: mowing once and no manure, i*ntensity2*: 2-3 times mowing and no manure, *intensity3*: 2-3 times mowing and manuring, *intensity4*: 4-5 times mowing and manuring)
- **Slope**: slope gradient according to classes defined by FAO (1990)
- **X**: X coordinate of the plot (CH1903)
- **Y**: Y coordinate of the plot (CH1903)
- **Cluster**: Spatial cluster of the plot

de:
Resource Title: Insect abundance
    Size: 33818 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e4752eb3-24f1-48b5-a6c4-e0a4134af08d/resource/2d60fcd6-a2f1-45fd-a450-3d560eb43822/download/insect_abundance.csv
    Description: Abundance of adult insects recorded in the samplings on all experimental sites

- **Plot**: ID of Plot
- **Treatment**: Experimental treatment
- **Species**:  Insect species name (following [Fauna Europaea](https://fauna-eu.org))
- **Author**: Author and year of species' description (following [Fauna Europaea](https://fauna-eu.org))
- **Group**: Insect group as used in the analyses
- **Number_Adults**: Number of adult individuals recorded
- **Herbivore**: Logical indicating whether the species is feeding as a herbivore (*TRUE*) or not (*FALSE*)

de:
Resource Title: Insect traits
    Size: 11167 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e4752eb3-24f1-48b5-a6c4-e0a4134af08d/resource/bddffb02-61f5-44b1-b96a-92bb043415b4/download/insect_traits.csv
    Description: Functional traits of all herbivorous insect species sampled in the study.

- **Species**: Insect species name (following [Fauna Europaea](https://fauna-eu.org))
- **Author**: Author and year of species' description (following [Fauna Europaea](https://fauna-eu.org))
- **Group**: Insect group as used in the analyses
- **Body volume**: Body volume determined by body length, body width and body height (in mm$^3$)
- **Body_shape**: Ratio of body length to body width
- **Hind_femur_shape**: Ratio of hind-femur length to hind-femur width
- **Hind_front_leg_ratio**: Ratio of front-leg length to hind-leg length (leg length = femur length + tibia length)
- **Wing_length_rel**: Ratio of wing length to body length
- **Leg_length_rel**: Ratio of front-leg length to body length (leg length = femur length + tibia length)
- **Antenna_length_rel**: Ratio antenna length to body length
- **Eye_width_rel**: Ratio of eye width to head width (Auchenorrhyncha, Heteroptera) / to head height (Orthoptera)
- **Feeding_specialization**: Insect specialization on food source (*m*: monophagous, *o*: oligophagous, *p*: polyphagous)
- **Feeding_tissue**: Feeding tissue used for feeding (*c*: chewers, *x*: xylem, *p*: phloem, *m*: mesophyll, *m-p/r*: mesophyll as well as phloem and/or reproductive organs, *r*: reproductive organs, *se*: ripe seeds)
- **Hibernation**: Hibernation stage (*e*: egg, *e/n*: egg and nymph, *n*: nymph, *a*: adult)
- **Generations**: Number of generations per year (*1.5* stands for *1-2* generations per year)
- **Moisture_pref_mean**: mean of preferred habitat moistures (*1*: xerophilous, *2*: moderately xerophilous, *3*: moderately mesohygrophilous, *4*: mesohygrophilous, *5*: moderately hygrophilous, *6*: hygrophilous, *7*: moderately hydrophilous, *8*: hydrophilous)
- **Moisture_pref_range**: range of preferred habitat moistures (indicating degree of specialization)

diversity

display_name: diversity

functional-diversity

display_name: functional-diversity

functional-traits

display_name: functional-traits

grassland

display_name: grassland

insects

display_name: insects

long-term-experiment

display_name: long-term-experiment

restoration

display_name: restoration

topsoil-removal

display_name: topsoil-removal