cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.119
title: Validating and improving the critical crack length in SNOWPACK

description: To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included. 
These data were analyzed and results were published in Richter et al. (2019).
Please refer to the Readme file for further details on the data.
These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.
description: Resource Title: SNOWPACK simulations
 Size: 21903741 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/6b0dc93f-34d1-48e2-bf69-3f9254e34692/download/snowpack.zip
 Description: This dataset contains all SNOWPACK simulations, including input files, setup and output files.
description: Resource Title: Manually observed snow profiles
 Size: 27333 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/74bf515b-cd6b-4e97-be6d-4356f0af6d3d/download/manual_snow_profiles.zip
 Description: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.
description: Resource Title: Stability tests
 Size: 6975 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/98cbbb6e-bfad-4b71-b920-e3def95143d3/download/stability_tests.zip
 Description: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.
description: Resource Title: Extracted data
 Size: 197562 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/42774021-73e4-49b2-a714-b192a0e3cc14/download/extracted_data.zip
 Description: Extracted data contain validation and results published in Richter et al. (2019).
description: Resource Title: README
 Size: 18771 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/c460111d-cbd0-479d-bd34-48ba27abe5e4/resource/b6cfb0c3-2bb3-4fa1-859d-5861983aa785/download/readme.txt
 Description: README file explaining data structure and content
DOI: 10.16904/envidat.184
title: Stability tests, avalanche observations, Switzerland, Norway

description: Observational data used to quantitatively describe the key elements describing avalanche danger: snowpack stability, the frequency distribution of snowpack stability, and avalanche size.
The data set consists of 
- Rutschblock test results (Switzerland) 
- Extended Column Test results (Switzerland, Norway) 
- Avalanche occurrence data (Switzerland, Norway). 
The data were extracted from the respective operational databases of the national avalanche warning services in Switzerland (WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland) and Norway (The Norwegian Water Resources and Energy Directorate NVE).
For further information regarding the data, please refer to the publication or contact the author.
description: Resource Title: avalanche occurrence data (Norway, Sitzerland) - avalanche sizes per day and warning region
 Size: 1514094 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/23823196-1d56-47d1-b6bd-cb0add4dbd7b/download/avalsize_used_in_manuscript.csv
 Description:
description: Resource Title: avalanche occurrence data (Norway, Sitzerland) - largest avalanche size per day and warning region
 Size: 256120 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/accef652-f988-4d75-8aff-4c4c06c24a74/download/maxavalsize_used_in_manuscript.csv
 Description:
description: Resource Title: ECT data (Norway, Switzerland)
 Size: 241792 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/7618bcce-8c14-463d-8c4d-1dc4f5365085/download/ect_data_used_in_manuscript.csv
 Description:
description: Resource Title: Rutschblock data (Switzerland)
 Size: 221029 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/30e5287d-6bc2-4810-bdc2-422976023486/download/rb_data_used_in_manuscript.csv
 Description:
DOI: 10.17632/r73rvp3tms
title: Decoding Social–Ecological Fit: How Inter–regional Collaborative Network Influences Water Quality Management in the Yellow River Basin

description: the research data
DOI: 10.16904/envidat.170
title: WFJ_ICE_LAYERS: Multi-instrument data for monitoring deep ice layer formation in an alpine snowpack

description: The WFJ_ICE_LAYERS dataset contains multi-instrument snowpack measurements at high temporal resolution, which enable to monitor the formation of deep ice layers due to preferential water flow, at the Weissfluhjoch research site, Davos, Switzerland. It covers the winter 2016/2017, with a focus on the early melting season. This dataset includes traditional snowpack profiles (weekly resolution, 15/11/2016-29/05/2017), SnowMicroPen penetration resistance profiles (daily resolution, 01/02/2017-19/04/2017), snow temperatures measured at different heights in the snowpack (half-hourly resolution, 01/03/2017-15/04/2017) and the water front height derived from an upward-looking ground penetrating radar (3-hour resolution, 04/03/2017-08/04/2017). The measurements are complemented by initialization files for SNOWPACK model simulations with the ice reservoir parameterization at Weissfluhjoch for the winter 2016/2017.
description: Resource Title: README
 Size: 476 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/2bf03a26-ee90-4e13-8ed0-63fbfada5733/resource/55d88599-ae7a-4ba6-af25-9544893de2be/download/readme.txt
 Description:
description: Resource Title: WFJ_ICE_LAYERS dataset
 Size: 4289873 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/2bf03a26-ee90-4e13-8ed0-63fbfada5733/resource/06794e9d-cbac-4a14-9d3b-a06f7f6c2061/download/wfj_ice_layers_dataset.zip
 Description:
DOI: 10.16904/envidat.183
title: Sensitivity of modeled snow instability

description: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.
description: Resource Title: Reference run
 Size: 9909880 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/7eb0f753-02d2-4592-b822-cf91745ea196/download/reference.zip
 Description: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.
description: Resource Title: Manually observed snow profiles
 Size: 12725 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/5bd23cea-d4e3-4f87-8b0c-bfa3dc82afec/download/manual_profiles.zip
 Description: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.
description: Resource Title: Case ALL 
 Size: 346790131 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/fd47ae3d-77a9-4f79-8c95-57b11de523bb/download/case_all.zip
 Description: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.
description: Resource Title: Case SL
 Size: 277264559 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/7635f568-e96c-4901-a385-c369150aaad6/download/case_sl.zip
 Description: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.
description: Resource Title: Case WL
 Size: 342942228 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/716fdeb9-b2e2-4613-bba3-691eff467c1b/resource/84ee8947-54aa-40d6-86bb-b6e0ffc14d25/download/case_wl.zip
 Description: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.
DOI: 10.17632/r73rvp3tms.1
title: Decoding Social–Ecological Fit: How Inter–regional Collaborative Network Influences Water Quality Management in the Yellow River Basin

description: the research data
DOI: 10.16904/envidat.175
title: Stated preference data on the insurance value of forests in Switzerland

description: We present stated preference data for improved forest management measures from seven Swiss municipalities in the Cantons of Grisons and Valais. The data was collected between October 2019 and February 2020 using an online questionnaire. We invited 10289 households to participate and received 939 responses. The online questionnaire consisted of two main parts: (i) an online choice experiment and (ii) questions on the sociodemographic characteristics of the responding households. The choice experiment confronted households with twelve consecutive choice tasks. Each choice task consisted of three options with a varying degree of avalanche and rock fall risk reduction due to improved forest management. The options further differed with respect to the way the costs for the improved forest management are allocated and the way they are calculated. We additionally provided each of the options with a cost attribute, allowing for the calculation of willingness to pay measures. At the end of the choice experiment we asked five de-briefing questions and eight attitudinal questions. Additionally, we asked the responding households to state their willingness to take risks. The sociodemographic characteristics collected in the second part of the questionnaire allow for an analysis of the impact they have on the choices we observed in the first part of the questionnaire.
description: Resource Title: DIVES CE raw data
 Size: 3723776 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9ef54da1-8ff8-4f10-b1c3-74a7d670ec26/download/dives_choice_data.csv
 Description: Raw data obtained from a choice experiment on the insurance value of forests
description: Resource Title: DIVES data description
 Size: 136303 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/c8d1875a-3914-498d-9178-1d290a426f69/download/dives_data_description.pdf
 Description: Description of the raw data variables
description: Resource Title: DIVES questionnaire
 Size: 1368317 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9c762c10-20f7-4f75-ab5e-33b6373508a6/download/dives_questionnaire.pdf
 Description: English translation of the original survey questionnaire
DOI: 10.16904/envidat.181
title: Digitizing historical plague

description: We present newly digitized data on 6,929 plague outbreaks that occurred between 1347 and 1900 AD across Europe. The data base on an inventory initially published 1976. For georeferencing the information of Tele Atlas 2009 was used. The coordinates are in the reference systems ETRS89 and WGS84.
description: Resource Title: Historical_plague_outbreaks
 Size: 48484 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/2a2b8c5f-c60c-4902-871b-564869addd07/resource/2b3fba3b-34e0-4202-8fe4-e3056e6719d0/download/historicalplagueoutbreaks.zip
 Description: We present newly digitized data on 6,929 plague outbreaks that occurred between 1347 and 1900 AD across Europe. The data base on an inventory initially published 1976. For georeferencing the information of Tele Atlas 2009 was used. The coordinates are in the reference systems ETRS89 and WGS84.
DOI: 10.16904/envidat.94
title: Alpthal, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards

description: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Alpthal in Switzerland which is located within a natural coniferous forest (ALB) with Norway spruce (_Picea abies_; 180-230 yrs) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Alpthal is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.
description: Resource Title: Site aerial photo (Alpthal)
 Size: 7983732 bytes
 Format: image/jpeg
 URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/c331a75a-6b89-4924-8896-6582b74c7284/download/alfront.jpg
 Description: Site aerial photo from the Alpthal forest station. Source: Google. 2016. Site aerial photo from the Alpthal forest station. Retrieved November 11, 2016, from https://www.google.ch/maps
description: Resource Title: Data plot of the forest station (ALB)
 Size: 277476 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/50d91991-2164-4f48-9bff-7dd1ecd9f379/download/albplot.pdf
 Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.
description: Resource Title: Forest station data (ALB)
 Size: 7164766 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/5109ff84-b671-41af-a243-34f1eda1fc88/download/albforest.csv
 Description:
DOI: 10.16904/envidat.176
title: daily 500m gridded net radiation and soil moisture for Switzerland, 2004

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

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

The R command to load the data:
load(“500m_SM_NetRad_2004_for_HESS_raster.RData”)
description: Resource Title: simple R script to load the data and generate sample plots
 Size: 1368 bytes
 Format: .r
 URL: https://www.envidat.ch/dataset/8d398d73-d741-42a3-997a-b63e9893aa9b/resource/b52e1813-276e-49e1-a373-1a5e2677dc42/download/plotting-script-for-hess.r
 Description:
DOI: 10.17632/rrvxmtprc3
title: Novel propolis-aloe vera nanofilms as drug delivery systems for acute wound healing

description: Objective: To investigate the effect of nanopore rapid film (NRF) co-loaded with propolis and aloe vera extract in the treatment of wound healing. Methods: The porosity, mechanical properties, and water vapor transmittance rate (WVTR) of the materials were determined, and the effect of P-A-NRF in promoting cell proliferation and migration was evaluated, and the mechanism of wound healing in a mouse full-thickness wound model was provided. Results: P-A-NRF is rapidly film-forming within 5 min, which has a waterproof effect. The cell viability rate of P-A-NRF was more than 80%, and the cell migration rate reached more than 50%. In vivo experiments, the P-A-NRF group achieved a 98% healing rate at 14 days 70% in the commercially available liquid band-aid group, with faster wound healing. Conclusion: The film formed by P-A-NRF is uniform, soft, and malleable. It can enhance cell viability, promote cell proliferation and migration, and accelerate wound healing mainly by reducing inflammation, and antibacterial, and promoting angiogenesis and collagen deposition, which is a promising wound dressing.
DOI: 10.16904/envidat.167
title: Stress thresholds of mature European beech trees

description: This data set contains the data presented in the figures 1-6 in Walthert et al. (2020): From the comfort zone to crown dieback: sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.141792.
A detailed methodical description of the data can be found in the Material and Methods section of the paper.
Drought responses of mature trees are still poorly understood making it difficult to predict species distributions under a warmer climate. Using mature European beech (Fagus sylvatica L.), a widespread and economically important tree species in Europe, we aimed at developing an empirical stress-level scheme to describe its physiological response to drought. We analysed effects of decreasing soil and leaf water potential on soil water uptake, stem radius, native embolism, early defoliation and crown dieback with comprehensive measurements from overall nine hydrologically distinct beech stands across Switzerland, including records from the exceptional 2018 drought and the 2019/2020 post-drought period. Based on the observed responses to decreasing water potential we derived the following five stress levels: I (predawn leaf water potential --0.4 MPa): no detectable hydraulic limitations; II (-0.4 to -1.3): persistent stem shrinkage begins and growth ceases; III (-1.3 to -2.1): onset of native embolism and defoliation; IV (-2.1 to -2.8): onset of crown dieback; V (--2.8): transpiration ceases and crown dieback is -20%. Our scheme provides, for the first time, quantitative thresholds regarding the physiological downregulation of mature European beech trees under drought and therefore synthesises relevant and fundamental information for process-based species distribution models. Moreover, our study revealed that European beech is drought vulnerable, because it still transpires considerably at high levels of embolism and because defoliation occurs rather as a result of embolism than preventing embolism. During the 2018 drought, an exposure to the stress levels III-V of only one month was long enough to trigger substantial crown dieback in beech trees on shallow soils. On deep soils with a high water holding capacity, in contrast, water reserves in deep soil layers prevented drought stress in beech trees. This emphasises the importance to include local data on soil water availability when predicting the future distribution of European beech.
description: Resource Title: beech_stress_thresholds
 Size: 520781 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/07250d65-9b30-40b7-aa54-1154dc20547b/resource/9399aa1e-bcef-428f-aa8d-537d74485ace/download/wsl_envidat_datafile.xlsx
 Description: This data file contains the data presented in Walthert et al. (2020): From the comfort zone to crown dieback: sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.141792.
DOI: 10.16904/envidat.171
title: Linked water discharge, bedload transport and bedrock erosion data set in 1minute resolution

description: This data set includes synchronized and independently measured water discharge, bedload transport and at-a-point bedrock erosion data in 1 minute resolution and over more than 1.5 years from the Erlenbach stream hydrological observatory, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. These measurements are of high accuracy, which have been assessed in Beer, A.R. et al. 2015. Earth Surf. Proc., 40, 530-541. doi: 10.1002/esp.3652. For the artificial bedrock (a slab of weak concrete, fixed flush with the streambed) 6 additional consecutive spatial elevation data sets of 1 mm resolution have been surveyed that allow the local continuous erosion measurements to be extended to the patch scale.
This unique data set has been used to validate and calibrate bedrock erosion models for the process to intermediate scales of time (and space), whose performance then was assessed over extended time (up to bicentennial floods), based on available longer data sets of linked discharge and bedload transport (see related datasets).
description: Resource Title: Linked discharge, bedload and erosion data
 Size: 30554475 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/f3448762-eb7a-4757-8374-3dc924329af7/download/envidat-repository-data.csv
 Description: This is the synchronized water discharge [m3/s], bedload transport [kg/min] and vertical bedrock erosion of 3 sensors [mm] data in 1min resolution
description: Resource Title: Mean bedrock slab erosion
 Size: 85 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/5ad00781-8f75-4457-ae4e-7ae2ddbbab28/download/envidat-mse.csv
 Description: This is the mean bedrock slab erosion data (MSE in [m]) for all 5 surveying epochs, based on millions of individual surface point surveys.