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Wind crust formation: Microsoft Kinect data
This data sets contains the Microsoft Kinect data from 15 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winter 2016/17. The Kinect measures distributed snow depth. The Kinect data is organized per experiment. Each experiment subfolder contains the processed Kinect depth images and some additional files. Please refer to the README for more details on the data. The processing scripts are available for download as well. The scripts are mainly provided as documentation and would need to be adjusted to be used. This dataset is the basis of the following publication: Sommer C.G., Lehning M. & Fierz C. (2018). Wind Tunnel Experiments: Influence of Erosion and Deposition on Wind-Packing of New Snow. Front. Earth Sci. 6:4. doi: 10.3389/feart.2018.00004
Replication files for "Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics"
Introduction The ZIP file contains all data and code to replicate the analyses reported in the following paper. Reber, U., Fischer, M., Ingold, K., Kienast, F., Hersperger, A. M., Grütter, R., & Benz, R. (2022). Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics. *Policy Sciences*. [https://doi.org/10.1007/s11077-022-09456-4](https://doi.org/10.1007/s11077-022-09456-4) If you use any of the material included in this repository, please refer to the paper. If you use (parts of) the text corpus, please also refer to the sources used for its compilation listed below. The content of the texts may not be changed. Data folder The data folder contains the following files. * _corpus.parquet_: Text corpus of Swiss policy documents * _dict_de.csv_: Biodiversity dictionary (German) * _dict_fr.csv_: Biodiversity dictionary (French) * _dict_it.csv_: Biodiversity dictionary (Italian) * _topic_labels.csv_: labels/codes for policy sectors * _topics.csv_: labels/codes for policy sectors The corpus and the dictionary were compiled by the authors specifically for this project. The labels/codes for policy sectors are based on the [coding scheme](http://ws-old.parlament.ch/affairs/topics) of the Swiss Parliament. Text corpus The text corpus consists of 439,984 Swiss policy documents in German, French, and Italian from 1999 to 2018. The corpus was compiled from the following source between 2020-10-01 and 2021-01-31. * Transcripts and parliamentary businesses (e.g. questions, motions, parliamentary initiatives) via the [Web Services (WS)](https://www.parlament.ch/de/%C3%BCber-das-parlament/fakten-und-zahlen/open-data-web-services) provided by the Swiss Parliament * The official compilation of federal legislation ("Amtliche Sammlung", AS) via [opendata.swiss](https://opendata.swiss/de/dataset/official-compilation-of-federal-legislation-bs-as-1947-2018) provided by the Swiss Federal Archives (SFA) * The federal gazette ("Bundesblatt") via [fedlex.admin.ch](https://www.fedlex.admin.ch/de/fga/index) * Decisions of federal courts via [entscheidsuche.ch (ES)](https://entscheidsuche.ch/) The corpus is stored in a single data frame to use with R saved as [PARQUET](https://parquet.apache.org/) file (corpus.parquet). The data frame has the following structure. * _text_id_: Unique identifier for each text (source information as prefix, e.g. "t_") * _doc_type_: Document type (see coding scheme below) * _branch_: Government branche (1 legislative, 2 executive, 3 judicative) * _stage_: Stage of policy process (1 drafting, 2 introduction, 3 interpretation) * _year_: Year of publication * _topic_: Policy sector (coding scheme in separate file in data folder) * _lang_: Language (de, fr, it) * _text_: Text The following list contains the coding scheme for the doc_type variable. * 101: Federal gazette // Draft for public consultation ("Vernehmlassungsverfahren") * 102: Federal gazette // Explanation of draft for parliament ("Botschaft") * 103: Federal gazette // Strategy, action plan * 104: Federal gazette // Federal council decree ("Bundesratsbeschluss") * 105: Federal gazette // (Simple) Federal decree ("(Einfacher) Bundesbeschluss") * 106: Federal gazette // General decree ("Allgemeinverfügung") * 107: Federal gazette // Treaty ("Übereinkommen") * 108: Federal gazette // Treaty ("Abkommen") * 109: Federal gazette // Draft for parliament ("Entwurf") * 110: Federal gazette // Report ("Bericht") * 111: Federal gazette // Report of parliamentary comission ("Bericht") * 112: Federal gazette // Report of federal council ("Bericht") * 201: Parl. businesses // Submitted text * 202: Parl. businesses // Reason text * 203: Parl. businesses // Federal council response * 204: Parl. businesses // Initial situation * 205: Parl. businesses // Proceedings * 301: Parl. transcripts // Speech of MP * 302: Parl. transcripts // Speech of federal council * 401: Federal legislation // Legal text of the official compilation (law, ordinances, etc.) * 501: Court decisions // Federal Supreme Court * 502: Court decisions // Federal Criminal Court * 503: Court decisions // Federal Administrative Court Code folder The code folder contains all R code for the analyses. The files are numbered chronologically. * _1_classifier_training.R_: Training of classifiers for classification of policy sectors * _2_classifier_application.R_: Classification of documents in corpus * _3_dictionary_application.R_: Biodiversity indexing of documents in corpus * _4_stm_truncation.R_: Truncation of indexed documents to keep only relevant parts * _5_stm_translation.R_: Translation of FR and IT documents to DE * _6_stm_model.R_: Preprocesssing and structural topic model * _7_plots.R_: Plots and numbers as included in the paper The code/functions folder contains custom functions used in the scripts, e.g. to support topic model interpretation. Package versions and setup details are noted in the code files. Contact Please direct any questions to Ueli Reber (ueli.reber@eawag.ch).
Discharge, rainfall, and deuterium compositions of streamwater, rainwater and groundwater, for four rainfall events in the Studibach, Alptal, Switzerland
This dataset includes discharge and rainfall measurements and deuterium compositions of streamflow, rainfall and groundwater, for four rainfall events and three baseflow snapshot campaigns in the Studibach (Alptal, Switzerland). More specifically, we present the following data: - Specific discharge at the catchment outlet at 5-minute resolution (mm per hour); - Rainfall at 5-minute resolution (mm per hour); - Rainfall deuterium composition (‰); - Stormflow deuterium composition (‰); - Groundwater and baseflow deuterium compositions (‰). For the files containing rainfall and discharge timeseries (QP), and rainfall and streamwater deuterium compositions ("Deuterium_Rainfall" and "Deuterium_Streamwater"), we added the corresponding event identifier (A, B, C or extra) to the file names. For the files containing the groundwater and baseflow deuterium values ("Deuterium_Snapshot") we added the sample collection date to the file name. We included the X and Y coordinates for each data point (coordinate system: CH1903 LV3) as well as the date and time (UTC). More information on the data collection and preparation can be found in Kiewiet et al. (in review). A detailed description of the baseflow snapshot campaigns can also be found in Kiewiet et al., 2019.
Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations
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.
Niche partitioning between wild bees and honeybees
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.
DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains: * Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution. * ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability). * LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m). * meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015. * TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans. For more details about the simulation and observation data, see Gerber et al., 2017. Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.
Environmental DNA Freshwater Senegal Casamance 2018
Monitoring fish diversity through eDNA metabarcoding along the Casamance river In 2018, water samples were collected in 13 locations along the Casamance in Senegal. Samples were taken either from a boat or by filtering from the side of the river. At each station, two filtration replicates were performed using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 30 min, during which approximately 30 liters of water were filtered through each filtration capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. We use primers for eukaryote and fish. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample. Data content: * rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences. * taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata. * metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)
Dataset for the publication Drivers of Droplet Formation in East Mediterranean Orographic Clouds
This repository contains the datasets that were used for used for the paper:: Drivers of Droplet Formation in East Mediterranean Orographic Clouds, EGUsphere, https://doi.org/10.5194/egusphere-2024-490, 2024.
Data on interaction diversity in urban gardens
The data supports the paper "Local and landscape factors shape alpha and beta trophic interaction diversity in urban gardens". It provides: (1) the host-natural enemy interaction networks and network metrics between cavity-nesting bees and wasps and their natural enemies, (2) the explanatory variables reflecting urban intensity, temperature, habitat amount and management intensity. (3) the questionnaires for assessing management intensity. (4) a thesaurus for the variable names. (5) a readme file. (6) the R script used for the analyses. The data is part of the BetterGardens project. It was sampled in 85 allotment and home gardens in the ctiy of Zurich in 2015 using standardized trapnests.
Biogas from animal manure in Switzerland
Aim of this white paper is to provide decision-makers, administrations and stakeholders with the most current research findings in order to promote the optimal use of bioenergy from manure in the Swiss energy transition. For this purpose, the results of the Swiss competence center for bioenergy research - SCCER BIOSWEET - are summarized and presented in a broader context. If nothing else is mentioned, the results refer to Switzerland and in case of the feedstock to the domestic biomass potentials.