cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.573
title: Data on bryophyte diversity and treatment factors in the PaNDiv experiment

description: This dataset was used to analyse effects of different biodiversity and functional group treatments, fertilizer and fungicide applications as well as weeding of vascular plants on the species richness and species composition of bryophytes for the following publication: Lin M., Bergamini A., Pichon N.A., Allan E, Boch S. 2025. Nitrogen enrichment and vascular plant richness loss reduce bryophyte richness. Scientific Reports.
In this study we surveyed 96 of 216 2 m x 2 m experimental plots of the PaNDiv experiment, a large grassland field experiment in the Swiss lowlands (Pichon et al. 2020). In the PaNDiv experiment four experimental treatments were applied in a full-factorial design manipulating: (1) the nitrogen availability (through fertilization), (2) the presence of fungal pathogens (through fungicide application), (3) the functional composition of the vascular plant community (represented here by community-weighted mean (CWM) SLA), and (4) the vascular plant richness (sowing of either 1, 4, 8 or 20 species). To maintain the original sown vascular plant species richness and composition, one part of each plot (1.5 m × 2 m) was weeded, while the other part has been left unweeded since the beginning of the experiment (0.5 m × 2 m).
On each plot we surveyed two subplots, the unweeded subplot and a weeded subplot of the same area (0.5 m × 2 m). On each subplot we established a complete list of all bryophyte species together with an estimate of their cover. 
The provided excel file contains three sheets:
1. A sheet with raw species lists of all plots surveyed together with information on all treatments and an estimation of the percentage cover of vascular plants in a summer campaign in August 2022. Cover of bryophytes was estimated for each species in percent.
2. A sheet with a list of all bryophyte species with its growth form (acroarpous/pleurocarpous)
3. A sheet with some explantations
By means of the provided R code and the data in the excel file, all analyses can be repeated.
More details to the data sampled can be found in Lin et al (2025).
description: Resource Title: main_data_file_lin_etal.xlsx
 Size: 55430 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/47564e1e-30ae-483b-a88d-69d1b8572910/resource/1b2ffe81-29fe-4912-82fd-f54b41cc9f8a/download/main_data_file_lin_etal.xlsx
 Description: main data as used in Lin et al. 2025
DOI: 10.17632/9vgv5bfcry.3
title: Phytase-mediated hydrolysis of different soil phytate species: Kinetics and mineral interfacial mechanisms

description: Phytates adsorption and hydrolysis kinetics; In-situ ATR-FTIR data; P K-edge XANES data; P NMR data; Characterization of minerals and phytase; Linear fit of phytates hydrolysis; CD spectra data
DOI: 10.15468/dl.hngmza
title: Occurrence Download

description: A dataset containing 39492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lycorma delicatula (White, 1845)"
 ]
}

 The dataset includes 39492 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057290-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.556
title: Hydrochemical Data Collected during Spring-Fall 2021 in the Erlenbach Catchment

description: The dataset contains hydrochemical data collected from spring to fall 2021 in the Erlenbach catchment, Switzerland. This hydrochemical data includes solute concentrations and stable isotopes of oxygen and hydrogen in water molecules, measured in streamwater, soil water, groundwater, and rainfall samples. Samples were collected during seven rainfall events with higher temporal resolution (hourly) as well as at lower resolution between events. A detailed description of the dataset is provided in the documentation.
description: Resource Title: hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_catchment.csv
 Size: 734083 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/08c5b677-618f-4758-a261-c7562522bb2a/resource/82bfc5c5-c6af-4954-80aa-f1478fe92157/download/hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_catchment.csv
 Description: This dataset includes mean concentrations of solutes (Calcium, Iron, Magnesium, Sodium, Potassium, Silicon, Nitrate, Sulfate, and Chloride) and stable isotope values (hydrogen and oxygen) in water molecules. These were measured in precipitation, groundwater, soil water, and surface water samples collected from the Erlenbach catchment and its close vicinity in Switzerland during Spring and Fall 2021. Detailed information is available in the accompanying documentation (documentation_for_the_hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_catchment.pdf).
description: Resource Title: documentation_for_the_hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_catchment.pdf
 Size: 106420 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/08c5b677-618f-4758-a261-c7562522bb2a/resource/57efc877-6cba-407d-b66a-02ede7f3c897/download/documentation_for_the_hydrochemical_data_collected_during_spring_and_fall_2021_in_the_erlenbach_.pdf
 Description: This document provides a detailed description of the hydrochemical dataset, including, among other things, an overview of the dataset content, an explanation of the column headers, a description of the locations where samples were collected, and an explanation of the abbreviations used in the dataset.
DOI: 10.16904/envidat.557
title: Hydrochemical Data Collected during Spring-Fall 2022 in the Haute-Mentue Catchment

description: The dataset contains hydrochemical data collected from spring to fall 2022 in the Haute-Mentue catchment, Switzerland. This hydrochemical data includes solute concentrations and stable isotopes of oxygen and hydrogen in water molecules, measured in streamwater, soil water, groundwater, and rainfall samples. Samples were collected during eight rainfall events with higher temporal resolution (hourly) as well as at lower resolution between events. A detailed description of the dataset is provided in the documentation.
description: Resource Title: documentation_for_the_hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_catchment.pdf
 Size: 106220 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/3a8c0901-3f4b-4103-b37a-a64326439557/resource/2dda64b9-268b-48f1-9e1e-2e4b89480756/download/documentation_for_the_hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_c.pdf
 Description: This document provides a detailed description of the hydrochemical dataset, including, among other things, an overview of the dataset content, an explanation of the column headers, a description of the locations where samples were collected, and an explanation of the abbreviations used in the dataset.
description: Resource Title: hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_catchment.csv
 Size: 489450 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3a8c0901-3f4b-4103-b37a-a64326439557/resource/3f2442e8-55d0-4966-82fe-a5c65ba5a8a2/download/hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_catchment.csv
 Description: This dataset includes mean concentrations of solutes (Calcium, Iron, Magnesium, Sodium, Potassium, Boron, Nitrate, Sulfate, and Chloride) and stable isotope values (hydrogen and oxygen) in water molecules. These were measured in precipitation, groundwater, soil water, and surface water samples collected from the Haute-Mentue catchment in Switzerland during Spring and Fall 2022. Detailed information is available in the accompanying documentation (documentation_for_the_hydrochemical_data_collected_during_spring_fall_2022_in_the_haute-mentue_catchment.pdf).
DOI: 10.16904/envidat.590
title: Dataset on new snow water equivalent

description: This dataset includes quality-controlled measurements of new snow depth (HN), new snow water equivalent (HNW), snow depth (HS), and snow water equivalent (SWE) from 41 stations located in Switzerland for the period from 2016-09-01 to 2022-08-31.
These data are the basis of the following publication: Magnusson J., Cluzet B., Quéno L., Mott R., Oberrauch M., Mazzotti G., Marty C., Jonas T., 2025, Evaluating methods to estimate the water equivalent of new snow from daily snow depth recordings, Cold Regions Science and Technology, https://doi.org/10.1016/j.coldregions.2025.104435.
Abstract
The water equivalent of new snow (HNW) plays a crucial role in various fields, including hydrological modeling, avalanche forecasting, and assessing snow loads on structures. However, in contrast to snow depth (HS), obtaining HNW measurements is challenging as well as time-consuming and is hence rarely measured. Therefore, we assess the reliability of two semi-empirical methods, HS2SWE and ΔSNOW, for estimating HNW. These methods are designed to simulate continuous water equivalent of the snowpack (SWE) from daily HS only, with changes in SWE yielding daily HNW estimates. We compare both parametric methods against HNW predictions from a physics-based snow model (FSM2oshd) that integrates daily HS recordings using data assimilation. Our findings reveal that all methods exhibit similar performance, with relative biases of less than ~3 % in replicating SWE observations commonly used for model evaluations. However, the ΔSNOW model tends to underestimate daily HNW by ~17 %, whereas HS2SWE and FSM2oshd combined with a particle filter data assimilation scheme provide nearly unbiased estimates, with relative biases below ~5 %. In contrast to the parsimonious parametric methods, we show that the physics-based approach can yield information about unobserved variables, such as total solid precipitation amounts, that may differ from HNW due to concurrent melt. Overall, our results underscore the potential of utilizing commonly available daily HS data in conjunction with appropriate modeling techniques to provide valuable insights into snow accumulation processes. Our study demonstrates that daily SWE observations or supplementary measurements like HNW are important for validating the day-to-day accuracy of simulations and should ideally already be incorporated during the calibration and development of models.
Acknowlegements
These data were recorded by SLF observers and staff members. Their contribution is gratefully acknowledged.
description: Resource Title: new_snow_dataset_v1.zip
 Size: 126716 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/40c9f88b-e31c-40d9-95ed-3ea186807c96/resource/dd301f7e-817c-4564-9e3a-e1861ddba8f7/download/new_snow_dataset_v1.zip
 Description: The .zip file contains all data as described in this repository and associated publication. The .zip file contains a readme file describing its content in detail.
DOI: 10.17632/gwyfwd8949
title: Non-complementable Impairment of Virulence by PA2989 Mutation in Pseudomonas aeruginosa

description: The data used to generate Figures 1, 3, 4, 5, and 6 in the article are all provided in the excel file.
DOI: 10.16904/envidat.452
title: Escalating effects of multiple perturbations on soil functionality

description: Soil chemical and biological properties of soils affected by 10 different perturbations related with global change, applied individually or in combination. Greenhouse experiment. Perturbations applied to intact soil cores (15 cm diameter, 15 cm deep) collected in an extensively managed grassland on the WSL grounds in June 2023.
This dataset contains all data on which the publication below was based:
"Fioratti Junod M, Gombeer S, Holmes J, Zimmerman S, Rillig M, Risch AC and Cordero I. Soil functionality declines under multiple superimposed global change perturbations. XXXX "
Please, cite this publication together with the citation of the datafile.
Database includes:
Pot_ID: pot or soil core identifier.
Batch: numeric, 1 or 2.
Enzyme_plate: numeric, from 1 to 6.
Number_of_perturbations: numeric, from 0 to 10.
N_addition: binary. Yes = 1, No = 0.
P_addition: binary. Yes = 1, No = 0.
Defoliation: binary. Yes = 1, No = 0.
Trampling: binary. Yes = 1, No = 0.
Insecticide: binary. Yes = 1, No = 0.
Fungicide: binary. Yes = 1, No = 0.
Herbicide: binary. Yes = 1, No = 0.
Antibiotic: binary. Yes = 1, No = 0.
Drought: binary. Yes = 1, No = 0.
Heat_wave: binary. Yes = 1, No = 0.
Treatment: character. Description of the treatment, 15 levels. 
SWC: soil water content. Numeric, unitless.
Green_biomass: green plant biomass. Numeric, g.
Brown_biomass: brown or dead plant biomass. Numeric, g.
Biomass_cut: plant biomass cut during defoliation treatments. Numeric, g.
CO2_flux_light: net CO2 flux under ambient light. Numeric, mg CO2 m-2 h-1.
CO2_flux_dark: ecosystem respiration. Numeric, mg CO2 m-2 h-1.
S: organic matter stabilisation factor (tea bag index). Numeric, unitless.
k: organic matter decomposition rate (tea bag index). Numeric, unitless.
DOC: dissolved organic carbon, mg Kg-1 dry soil. 
IC: inorganic carbon, mg Kg-1 dry soil. 
Ammonium_KCl: plant available ammonium, mg Kg-1 dry soil. 
Nitrate_KCl: plant available nitrate, mg Kg-1 dry soil. 
Phosphate: phosphate, mg Kg-1 dry soil. 
MBC: microbial biomass carbon, mg Kg-1 dry soil. 
MBN: microbial biomass nitrogen, mg Kg-1 dry soil. 
PHO: phosphatase activity, nmol h-1 g-1 dry soil.
BG: β-glucosidase, nmol h-1 g-1 dry soil.
XYL: xylosidase, nmol h-1 g-1 dry soil.
CBH: cellobiohydrolase, nmol h-1 g-1 dry soil.
NAG: N-acetylglucosaminidase, nmol h-1 g-1 dry soil.
LAP: leucine aminopeptidase, nmol h-1 g-1 dry soil.
POX: phenoloxidase, nmol h-1 g-1 dry soil.
PER: peroxidase, nmol h-1 g-1 dry soil.
pH: soil pH, unitless
Water_stable_aggregates: water stable aggregates, %
Surface_infiltration_time: water surface infiltration time, s.
description: Resource Title: All soil data
 Size: 34609 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/86c3f54a-4dbf-4dea-aa81-a08dc952bf52/resource/b88baeeb-895a-4f90-9584-e45a03b03068/download/all_data_envidat.csv
 Description: Soil physicochemical characteristics
DOI: 10.17632/gwyfwd8949.1
title: Non-complementable Impairment of Virulence by PA2989 Mutation in Pseudomonas aeruginosa

description: The data used to generate Figures 1, 3, 4, 5, and 6 in the article are all provided in the excel file.
DOI: 10.16904/envidat.624
title: LWF Visp long-term research site

description: ![alt text](https://www.envidat.ch/dataset/1a43f9fa-e36c-46b9-a409-367fce3ce48b/resource/757c846b-c266-4fd4-b6ad-5f5f327ffcb4/download/lwf_visp.jpg "LWF Visp")
LWF Plot Visp
- Community: Visp / canton VS
- Date of installation: 13 March 1996
- Size of the plot: 2 ha
- Altitude: 657-733 m
- Mean slope: 80%
- Geology (in German): Penninikum, Jura, Bündnerschiefer; Kalkphyllite, Hängeschutt
- Provisional soil type (WSL): Calcaric Cambisol
- Woodland association after EK72: =~= 38: Arabidi turritae-Quercetum pubescentis
- Main tree species: Pinus sylvestris
- Management system: high forest
- Silvicultural system: unmanaged
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 53.9 cm
- Number of trees BHD -= 12 cm (2011): 650
- Maximum tree age: Pinus sylvestris uneven-aged 40-80 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/visp.html
description: Resource Title: 
 Size: 134960 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/1a43f9fa-e36c-46b9-a409-367fce3ce48b/resource/757c846b-c266-4fd4-b6ad-5f5f327ffcb4/download/lwf_visp.jpg
 Description: LWF plot Visp. Photo: Peter Waldner, 2017
description: Resource Title: Visp Meteorological Data LWF
 Size: 1 bytes
 Format: .108
 URL: https://doi.org/10.16904/envidat.108
 Description:
DOI: 10.16904/envidat.622
title: LWF Othmarsingen long-term research site

description: ![alt text](https://www.envidat.ch/dataset/ebb37e73-1280-4a06-81d8-e18bc5d9c1cf/resource/64291bfd-37d4-4f88-b505-81fc85a109c2/download/lwf_othmarsingen.jpg "LWF Othmarsingen")
LWF Plot Othmarsingen
- Community: Othmarsingen / canton AG
- Date of installation: 9 September 1994
- Size of the plot: 1 ha
- Altitude (m): 467-500
- Mean slope: 27%
- Soil types (WSL): Stagnic Luvisols, Haplic Luvisols
- Woodland association after EK72: 7: Galio odorati-Fagetum typicum
- Main tree species: Fagus sylvatica
- Management system: former coppices w. standards
- Silvicultural system: group selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 62.8 cm
- Number of trees BHD -= 12 cm (2011): 167
- Maximum tree age: Fagus sylvatica 120-140 yr - Tilia sp. 120-140 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/othmarsingen.html
description: Resource Title: 
 Size: 201132 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/ebb37e73-1280-4a06-81d8-e18bc5d9c1cf/resource/64291bfd-37d4-4f88-b505-81fc85a109c2/download/lwf_othmarsingen.jpg
 Description: LWF plot Othmarsingen. Photo: Christian Hug, 2017
description: Resource Title: Othmarsingen Meteorological Data LWF
 Size: 1 bytes
 Format: .106
 URL: https://doi.org/10.16904/envidat.106
 Description:
DOI: 10.16904/envidat.623
title: LWF Schänis long-term research site

description: ![alt text](https://www.envidat.ch/dataset/b21e7c90-7d1f-4940-82ab-d29c0dcf5fcf/resource/5b41f2a1-847f-4a0f-aa48-cd530ace3827/download/lwf_schaenis.jpg "LWF Schänis")
LWF Plot Schänis
- Community: Schänis / canton SG
- Date of installation: 17 September 1997
- Size of the plot: 2 ha
- Altitude: 693-773 m
- Mean slope: 60%
- Geology (in German): Tertiär. Subalpine Molasse, Oligocaen, Chattien, Kalknagelfluh
- Soil types (WSL) : n.d.
- Woodland association after EK72: 13: Cardamino-Fagetum tilietosum
- Main tree species: Fagus sylvatica
- Management system: high forest
- Silvicultural system: group selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 55.8 cm
- Number of trees BHD -= 12 cm (2011): 611
- Maximum tree age: Abies alba130-150 yr - Fraxinus excelsior 130-150 yr - Fagus sylvatica 130-150 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/schaenis.html
description: Resource Title: 
 Size: 225843 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/b21e7c90-7d1f-4940-82ab-d29c0dcf5fcf/resource/5b41f2a1-847f-4a0f-aa48-cd530ace3827/download/lwf_schaenis.jpg
 Description: LWF plot Schänis. Photo: Anne Thimonier Rickenmann, 2019
description: Resource Title: Schänis Meteorological Data LWF
 Size: 1 bytes
 Format: .107
 URL: https://doi.org/10.16904/envidat.107
 Description:
DOI: 10.16904/envidat.621
title: LWF Novaggio long-term research site

description: ![alt text](https://www.envidat.ch/dataset/e87358e9-4beb-487e-af68-66633e9cfc96/resource/91bd053a-61c4-4b20-b0d3-a572c983e647/download/lwf_novaggio.jpg "LWF Novaggio")
LWF Plot Novaggio
- Community: Novaggio / canton TI
- Date of installation: 8.3.95
- Size of the plot: 1.5 ha
- Altitude (m): 902-997
- Mean slope: 68%
- Geology (in German): Untergrund: Südalpin, präpermisches Grundgebirge; Orthogneis, schiefriger Biotitplagioklasgneis - Oberfläche: Quartär; karbonatfreie würmeiszeitliche Moräne
- Provisional soil type (WSL): Kryptopodzole
- Woodland association after EK72: 42: Phyteumo betonicifoliae-Quercetum castanosum
- Main tree species: Quercus cerris
- Management system: former coppice
- Silvicultural system: unmanaged
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 27.0 cm
- Number of trees BHD -= 12 cm (2011): 1130
- Maximum tree age: Castanea sativa 90 yr- Betula pendula 70 yr - Quercus cerris 70 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/novaggio.html
description: Resource Title: 
 Size: 206487 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/e87358e9-4beb-487e-af68-66633e9cfc96/resource/91bd053a-61c4-4b20-b0d3-a572c983e647/download/lwf_novaggio.jpg
 Description: LWF plot Novaggio. Photo: Peter Waldner, 2010
description: Resource Title: Novaggio Meteorological Data LWF
 Size: 1 bytes
 Format: .105
 URL: https://doi.org/10.16904/envidat.105
 Description:
DOI: 10.16904/envidat.617
title: LWF Lens long-term research site

description: ![alt text](https://www.envidat.ch/dataset/87d3ea5a-8d50-446b-9c33-cbe56057f7d3/resource/bf459948-da5a-4b05-9372-83ca5454aeca/download/lwf_lens.jpg "LWF Lens")
LWF Plot Lens
- Community: Lens / canton VS
- Date of installation: 15 March 1996
- Size of the plot: 2 ha
- Altitude: 1033-1093 m
- Mean slope: 75%
- Geology (in German): Untergrund: Penninikum, Ferret-Zone, Trias; sandiger Kalkstein - Oberfläche: Hängeschutt
- Provisional soil type (WSL): Calcaric Cambisol
- Woodland association after EK72: +- 64: Cytiso-Pinetum silvestris
- Main tree species: Pinus sylvestris
- Management system: high forest
- Silvicultural system: unmanaged
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 31.8 cm
- Number of trees BHD -= 12 cm (2011): 2304
- Maximum tree age:150-170 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/lens.html
description: Resource Title: 
 Size: 204696 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/87d3ea5a-8d50-446b-9c33-cbe56057f7d3/resource/bf459948-da5a-4b05-9372-83ca5454aeca/download/lwf_lens.jpg
 Description: LWF plot Lens. Photo: Freddy Potzinger, 2012
description: Resource Title: Lens Meteorological Data LWF
 Size: 1 bytes
 Format: .102
 URL: https://doi.org/10.16904/envidat.102
 Description:
DOI: 10.16904/envidat.619
title: LWF Nationalpark long-term research site

description: ![alt text](https://www.envidat.ch/dataset/4a0ff376-83d2-4ae4-bf2e-c361eb050778/resource/51e98f2d-5524-4ea6-babb-9df0b9aba8f1/download/lwf_nationalpark.jpg "LWF Nationalpark")
LWF Plot Nationalpark
- Community: Zernez / canton GR
- Date of installation: 10 October 1995
- Size of the plot: 2 ha
- Altitude: 1890-1907 m
- Mean slope: 11%
- Geology (in German): Nacheiszeitlicher Schwemmfächer; kalkhaltige Moräne, Dolomite, Kalke, Tonschiefer, Rauhwacken
- Provisional soil types (WSL): Rendzic Leptosol
- Woodland association after EK72: 67: Erico-Pinetum montanae
- Main tree species: Pinus mugo
- Management system: high forest
- Silvicultural system: forest reserve
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 23.7 cm
- Number of trees BHD -= 12 cm (2011): 2450
- Maximum tree age: Pinus mugo 210 yr
More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/nationalpark.html
description: Resource Title: 
 Size: 211363 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/4a0ff376-83d2-4ae4-bf2e-c361eb050778/resource/51e98f2d-5524-4ea6-babb-9df0b9aba8f1/download/lwf_nationalpark.jpg
 Description: LWF plot Nationalpark. Photo: Oliver Schramm, 2011
description: Resource Title: Nationalpark Meteorological Data LWF
 Size: 1 bytes
 Format: .103
 URL: https://doi.org/10.16904/envidat.103
 Description:
DOI: 10.17632/nfzzgf4xtt
title: The Relationship Between Vibration and Shape: A Study on Visual-Tactile Cross-Modal Correspondences

description: The vibration frequencies and amplitudes corresponding to triangles, quadrilaterals, and pentagons are higher than those of circles and hexagons.
Negative correlation between shape roundness and vibration amplitude: More circular shapes were associated with lower amplitudes.
Non-linear relationship between roundness and frequency: Roundness decreased initially with increasing frequency but then increased at higher frequencies.