cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.16904/envidat.330
title: Weather, snowpack and danger ratings data for automated avalanche danger level predictions

description: Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the danger ratings for dry-snow conditions assigned to the location of the station. The data set of RF 1 contains the danger ratings published in the official Swiss avalanche bulletin, and the data set of RF 2 is a quality-controlled subset of danger ratings.
These data are the basis of the following publication: Pérez-Guillén, C., Techel, F., Hendrick, M., Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, G., Pérez-Cruz, F., and Schweizer, J.: Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland, Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, 2022.
description: Resource Title: Data_weather_snowpack_danger_forecast
 Size: 185690485 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/54d7dc19-e70c-4998-bfb6-caffe41c83e6/resource/11c8a22e-3e76-4f1f-8880-17ebf6525e9a/download/data_rf1_forecast.csv
 Description: This data set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the danger ratings for dry-snow conditions assigned in the Swiss avalanche bulletin to the location of the weather station.
description: Resource Title: Data_RF2_tidy
 Size: 17378680 bytes
 Format: application/vnd.ms-excel
 URL: https://www.envidat.ch/dataset/54d7dc19-e70c-4998-bfb6-caffe41c83e6/resource/7f6d8de7-194c-4ae6-9e0d-473a45342918/download/data_rf2_tidy.csv
 Description: This subset of data includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the quality-controlled danger ratings for dry-snow avalanche conditions forecast in Switzerland.
DOI: 10.17632/cdpfr99593
title: Domestic Injuries and how COVID-19 Lockdown Measures Changed Their Incidence in Mexico

description: We conducted an analytical cross-sectional study using Microsoft Forms, with a digital survey distributed among the Mexican population from October 2021 to November 2021, during lockdown.
DOI: 10.17632/cdpfr99593.1
title: Domestic Injuries and how COVID-19 Lockdown Measures Changed Their Incidence in Mexico

description: We conducted an analytical cross-sectional study using Microsoft Forms, with a digital survey distributed among the Mexican population from October 2021 to November 2021, during lockdown.
DOI: 10.16904/envidat.326
title: Stable Water Isotopes in snow and vapor on the Weissfluhjoch

description: Notice: Changes to the dataset are still possible. Please do not use this dataset until the final publication with a DOI. Contact the authors if you have questions about this.
This dataset contains measurements of stable water isotopes in snow and vapor on the Weissfluhjoch from different field campaigns (Winter 2017 (Trachsel, 2019), January 2020, December 2020, and March 2021 (Sadowski et al., 2022). 
Snow profiles and surface samples are available at different frequencies for each campaign. Please see "Data_description.pdf" for details. 
Scripts and SNOWPACK simulations used in (Trachsel, 2019) and (Sadowski et al., 2022) are also provided.
description: Resource Title: Weather
 Size: 377318265 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/c3dabb24-bcac-41f2-8a7a-e13bad3d0705/download/weather.zip
 Description: Meteorological data, snow height measurement, and SNOWPACK simulations covering the different field campaigns.
description: Resource Title: Stable water isotopes in snow
 Size: 42408 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/258c1ad7-dc54-408d-85f4-927d1ee052ec/download/snow_isotopes.zip
 Description: Stable water isotopes in snow measurements
description: Resource Title: Stable water isotopes in vapor 
 Size: 1791813201 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/459c968f-fdce-43e9-aefc-88e3e2c0f1a5/download/vapor_stable_water_isotopes.zip
 Description: Stable water isotopes in vapor measurements. Processed (calibrated) and raw data for February - June 2017. Raw data for January and February 2020.
For the time in between July 2017 and April 2020, raw vapor isotopic measurements are available, but no calibrations were performed during that time. For data delivery, please contact one of the authors.
This folder also contains the post-processing scripts for stable water isotopes in vapor measurements.
description: Resource Title: Read_me
 Size: 1040 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/a9b0c81d-fd96-4f43-b7ec-5910aa7b35ed/download/read_me.txt
 Description: Details about the different folders
description: Resource Title: Data_description
 Size: 5798685 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/51170962-a45c-46eb-ab67-b2d28d61b86e/resource/f9e9342d-939c-4f55-aeeb-94197ab8572e/download/data-description.pdf
 Description: Details on the data collected during the different field campaigns and available in this dataset. 
Information on the sampling procedure of the snow isotopes samples.
DOI: 10.16904/slf.1
title: Mountain Permafrost Hydrology

description: This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited.
description: Resource Title: Synthesis report chapter of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN)
 Size: 1 bytes
 Format: No Info
 URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:21843
 Description:
DOI: 10.16904/envidat.463
title: Latent Heat Flux over Snow

description: This dataset contains three case studies where are compared the latent heat flux calculated using the Eddy Covariance (EC) method, the Monin-Obukhov Similarity Theory (MOST) and the modified Bowen-ratio method presented in the research paper "Using the sensible heat flux eddy covariance based exchange coefficient to calculate latent heat from moisture mean gradients overn snow". We include the datasets, the code and the ini files for reproduce the research.
The dataset contain two files in zip format:
 1. Sowftware-Heat_fluxes_on_snow: Jupyter notebooks to reproduce the method and the figures of the paper. 
 2. data.zip: Datasets used to compare the methods
description: Resource Title: Sowftware-Heat_fluxes_on_snow
 Size: 3322132 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/da84224e-d225-43fd-8986-7d8069362adc/download/software.zip
 Description: This file includes the Jupyter notebooks to reproduce the method and the figures of the paper. This consists in:
- 3 files for Alpine Valley
- 3 files for Antarctic Plateau
- 1 file for application at Pamir mountains
description: Resource Title: 
 Size: 29787181 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/fc60c402-dc96-40a0-b780-09404deaa34e/resource/7ab59fe6-dc0b-4dfc-b5c1-e8c3287cb54e/download/data.zip
 Description: This file includes the datasets used to compare the methods. It includes:
- EC Postprocessed heat flux data from sonic anemometer and gas analyzer. Files named: [SITE]_(NO)WatVap_eddypro_OUT_[type].csv
- MOST Postprocessed data from SNOWPACK model. Files named [SITE]_[year]_[METHOD].smet
- Configuration files for SNOWPACK (.ini files) and Eddypro (.eddypro files)

[SITE] correspond to DISHMA/DISH or Alpine Valley, PLATEAU/PLAT for Antarctic Plateau, TAJ for Pamir mountains (no EC)
[type] correspond to fluxnet, full_output or qc_details
[METHOD] indicates the stability model used and/or the roughness length
DOI: 10.16904/envidat.510
title: Sentinel-2 imagery of Switzerland

description: We processed Sentinel-2 images from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019). The respective parameter files can be found here: [Github](https://github.com/TLKoch/Sentinel-2_CH). All the images consist of several TB and therefore, access will be granted upon request. 
The available bands (in spatial reference system EPSG 3035) are the following:
*Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2*
The available indices (in spatial reference system EPSG 3035) are the following:
*CCI, CIRE, NDWI/NDMI, NDVI, EVI*
Further indices might be provided upon request.
 Processing
After downloading Level 1 data for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR) with an estimated cloud cover of less than 80 \%, we processed the data further with FORCE v. 3.7.8-12.
FORCE was used for radiometric correction, including atmospheric and topographic corrections using the digital elevation model from Copernicus Land Monitoring Service (EU-DEM v. 1.1), with a 25 m spatial resolution, a bidirectional reflectance distribution function (BRDF) correction, and an adjacency effect correction. For cloud masking, the improved Fmask algorithm with buffers of 300 m for clouds, 90 m for shadows, and 30 m for snow were used (Frantz et al. 2018; Zhu et al. 2015). All bands were resampled using cubic convolution to 10 m spatial resolution. Shadows, low and poor illumination as well as saturation were masked out. The co-registration of all images was made with monthly composites of near-infrared Landsat Collection 2 images from 2014 to 2021 (Rengarajan et al. 2020;Rufin et al. 2021). With this the geometric consistency improved. The processed images are available in tiles of 30 by 30 km. 
 Example images
Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.
description: Resource Title: EVI_20180724_example.tif
 Size: 24317492 bytes
 Format: image/tiff
 URL: https://www.envidat.ch/dataset/eb913ad8-aec4-472f-a827-179b4ec87371/resource/5d61e0ec-f785-45ba-8281-8668855ee94b/download/evi_20180724_example.tif
 Description: An example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.
description: Resource Title: parameter_file_force_sentinel_level2.prm
 Size: 17892 bytes
 Format: application/octet-stream
 URL: https://www.envidat.ch/dataset/eb913ad8-aec4-472f-a827-179b4ec87371/resource/69490cdd-817f-49f6-b048-e152ba6bff5a/download/sentinel_level2.prm
 Description: Parameter file that defined all the parameters for processing the Sentinel-2 Level 2 imagery
DOI: 10.16904/envidat.511
title: Sentinel-2 time series of Switzerland

description: We processed Sentinel-2 image time series from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019) on the basis of [Sentinel-2 images](https://envidat.ch//metadata/sentinel-2-imagery-of-switzerland). The respective parameter files can be found here: [Github](https://github.com/TLKoch/Sentinel-2_CH). All the image time series consist of several TB and therefore access will be granted upon request. 
The available bands (in spatial reference system EPSG 3035) are the following:
Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2
The available indices (in spatial reference system EPSG 3035) are the following:
CCI, CIRE, NDWI/NDMI, NDVI, EVI
 Processing
On the basis of processed Sentinel-2 images for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR), we processed the image time series further with FORCE v. 3.7.8-12.
We generated interpolated Sentinel-2 time series with a 5-day interval, corresponding to the theoretical revisit time of the Sentinel-2 satellites. It's important to note that the 5-day time series consist of interpolated and smoothed composites, not the original images. We used the radial basis convolutional filtering (RBF) available in the FORCE time series analysis (TSA) submodule (Schwieder et al. 2016). The RBF is similar to a spatial moving window average approach over time (Schwieder et al. 2016). We applied kernel width values of 10, 20, 30, and 50 days. We spectrally adjusted all the images to match Sentinel-2A, and we removed curve outliers and pixels that failed the quality checks for clouds and their shadows, snow, saturation, and limited illumination. The processed image time series are available in tiles of 30 by 30 km. 
 Example images
Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The time series spans the month of July from 2018.
description: Resource Title: EVI_time_series_201807_example.tif
 Size: 139814053 bytes
 Format: image/tiff
 URL: https://www.envidat.ch/dataset/633ffbf5-756f-4735-af10-909a3b09c7cb/resource/959bf57a-1723-4eea-ad89-3c42243ca510/download/evi_time_series_201807_example.tif
 Description:
description: Resource Title: parameter_file_force_sentinel_tss_tsi.prm
 Size: 27530 bytes
 Format: application/octet-stream
 URL: https://www.envidat.ch/dataset/633ffbf5-756f-4735-af10-909a3b09c7cb/resource/81f234c9-25ea-4927-a3af-92c915236882/download/sentinel_tss_tsi.prm
 Description: Parameter file that defined all the parameters for processing the Sentinel-2 time series
DOI: 10.16904/envidat.147
title: Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017

description: Swiss National Forest Inventory. Results of the fourth survey 2009–2017.
The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017, on average eight years after the third survey. The findings about state and development of Swiss forests are described and explained in detail. The report is structured according to the European criteria and indicators for sustainable forest management, namely: forest resources, health and vitality, wood production, biological diversity, protection forest and social economy. Finally, conclusions about sustainability are drawn based on the NFI findings.
Keywords: forest area, growing stock, increment, yield, forest structure, forest condition, timber production, biodiversity, protection forest, recreation, sustainability, results National Forest Inventory, Switzerland 
Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017.
Les relevés du quatrième inventaire forestier national suisse (IFN) ont eu lieu entre 2009 et 2017, en moyenne huit ans après le troisième inventaire. Les résultats sur l’état et l’évolution de la forêt suisse sont présentés et expliqués en détail. Le rapport est structuré thématiquement selon les critères et indicateurs européens pour la gestion durable des forêts : ressources forestières, santé et vitalité, production de bois, diversité biologique, forêt protectrice et socio-économie. L’ouvrage s’achève par un bilan de la durabilité basé sur les résultats de l’IFN.
Mots-clés : surface forestière, volume de bois, accroissement, exploitation, structure de la forêt, état de la forêt, production de bois, biodiversité, forêt protectrice, récréation, durabilité, résultats de l’inventaire forestier national, Suisse 
Content license: All rights reserved. Copyright © 2020 by WSL, Birmensdorf.
description: Resource Title: ISBN: 978-3-905621-61-7
 Size: 65866156 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/58cf77e8-78f6-460d-9c1b-5c0857b0cc25/resource/149edc8c-30eb-4164-935f-ca53c21e16dd/download/lfi4_fr_web_200603.pdf
 Description:
description: Resource Title: Corrigendum / Erratum
 Size: 518804 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/58cf77e8-78f6-460d-9c1b-5c0857b0cc25/resource/e5620e14-9a81-4d48-9a31-1acf93ff80f5/download/korrigendum_lfi4_fr_tab_155.pdf
 Description:
description: Resource Title: Registration in DORA
 Size: 1 bytes
 Format: No Info
 URL: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:23455
 Description:
DOI: 10.16904/envidat.217
title: From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts

description: Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions"
Cities and urban regions are among the most dynamic land-use systems in the world, with dramatic consequences for the provision of ecosystem services and the livelihood of people. Planning is a multifaceted activity with extensive experience in the management of these urbanization processes. However, our understanding of planning’s contribution to shaping urban land use, form and structure is still incomplete, with serious consequences for the efficacy of urban planning and land change models.
This international conference aims to bring together the community of scholars working on planning evaluation and urban modelling. The participants are offered the opportunity to present their current research and to discuss how theoretical developments, data sources, comparative studies and modelling approaches might advance the field.
The conference was financially supported by the CONCUR project and sustained by Swiss Federal Research Institute WSL.
description: Resource Title: Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions"
 Size: 2419272 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/a3e46339-0997-4fa5-a207-224719406ba3/resource/d0339adb-f215-44a5-8812-24435324fd26/download/abstractband_a4_concur.pdf
 Description: Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions"
DOI: 10.16904/envidat.243
title: Genomics and Adaptation in Forest Ecosystems. Book of Abstracts. EvolTree Conference 2021, 14 – 17 September 2021, Birmensdorf, Switzerland

description: The first EVOLTREE Conference, taking place in hybrid format (on-site and online) at WSL Birmensdorf (Switzerland) from 14-17 September, 2021, focuses on the genomics of trees and interacting species from evolutionary, demographic, and ecological perspectives.
EVOLTREE is a European network of institutions engaged in studying the evolution and functioning of forest ecosystems, in particular trees as the foundation species in forest stands. A prime topic in the face of ongoing climate change is to elucidate how trees, together with their associated organisms such as mycorrhizal fungi, respond to rapid environmental changes.
The conference includes contributions that apply innovative approaches and consider the relevance of their research in the context of biodiversity conservation through natural dynamics or silvicultural interference.
description: Resource Title: Book of Abstracts
 Size: 1127809 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/94c2ef28-5310-47a6-afda-5d7d86ad0d68/resource/7e779d89-4830-419f-ab43-03b7be589beb/download/evoltree2021_book-of-abstracts.pdf
 Description:
DOI: 10.16904/envidat.63
title: Fiber Bundle Model for snow failure and concurrent Acoustic Emissions

description: This dataset contains modeled and experimental results for laboratory snow failure experiments and the concurrent acoustic emissions signatures for different loading rates. For modelling the snow failure we used a fiber bundle model that includes sintering and viscous deformation.
The data underlay the figures in the publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted for publication to "Geophysical Research Letters".
description: Resource Title: fiber-bundle-model-for-snow-failure
 Size: 50853462 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/18c71221-90c8-4b36-bd6c-cf9ebcee6d1a/resource/96c0b7de-4a3a-4d85-9fca-07308a6fcee7/download/data_fbm_snowfailure.zip
 Description: Data underlying Figures in publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted to "Geophysical Research Letters"
DOI: 10.17632/5ybwk8bxwt
title: Peer Influence and Inflation Expectations: Evidence from Households' Social Comparisons

description: The study uses an ad hoc primary survey along with data from the Consumer Confidence Survey (CCS) conducted by the Reserve Bank of India. It aims to understand how social comparison and peer influence affect the inflation expectations of households. Households seek to maintain a certain relative social position and aspire to be better than their peers. When they are unable to do so, they often attribute it to external factors such as rising prices, which in turn leads to higher inflation expectations.
DOI: 10.16904/envidat.29
title: Automatic detection of avalanches

description: This dataset contains the results obtained by an automatic classification using hidden Markov models of a continuous seismic dataset. To avoid long computational times, we reduced the seismic data using pre-processing step. The start and end times of the windows used for the classification are also included in this dataset. Furthermore, an avalanche reference data set is included and the python scripts used to perform the processing steps and the classification.
description: Resource Title: Results and Scripts
 Size: 1802458 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/6b0788a9-33e8-4ea6-b958-6327167ad423/resource/684cb802-18de-46ee-822a-f63f2f434197/download/results_and_scripts.zip
 Description: This zip package contains the classification results, coherence results, reference data set, python scripts used for the classification and the start and end times for the pre-processed continuous seismic data. A further readme file is also include for more detailed information.
DOI: 10.17632/5ybwk8bxwt.1
title: Peer Influence and Inflation Expectations: Evidence from Households' Social Comparisons

description: The study uses an ad hoc primary survey along with data from the Consumer Confidence Survey (CCS) conducted by the Reserve Bank of India. It aims to understand how social comparison and peer influence affect the inflation expectations of households. Households seek to maintain a certain relative social position and aspire to be better than their peers. When they are unable to do so, they often attribute it to external factors such as rising prices, which in turn leads to higher inflation expectations.