Portal
Suchergebnisse
Results list
Nationalratswahlen Kanton Thurgau: Wahlberechtigte und Wahlbeteiligung nach Gemeinden
Dieser Dataset präsentiert die Ergebnisse der Nationalratswahlen für den Kanton Thurgau (Wahlberechtigte, Wählende/eingelegte Wahlzettel, Wahlbeteiligung, Typ der Wahlzettel, Stimmen) nach Kanton, Bezirk und Gemeinde, ab 1971.Datenquelle: Bundesamt für Statistik BFS / Staatskanzlei Kanton Thurgau (2023, Datenstand: 30.10.2023)Link zur PX-Tabelle: [https://www.pxweb.bfs.admin.ch/pxweb/de/px-x-1702020000_101/-/px-x-1702020000_101.px/](https://www.pxweb.bfs.admin.ch/pxweb/de/px-x-1702020000_104/-/px-x-1702020000_104.px/)
CO2-Gesamtemissionen nach Energieträgern (Ebene Kanton)
Der Datensatz beinhaltet die CO2-Gesamtemissionen nach Energieträgern im Kanton Thurgau ab dem Jahr 2015.Die CO2-Gesamtemissionen umfassen die CO2-Emissionen in den Sektoren Gebäude, Industrie/Gewerbe, Verkehr, Landwirtschaft und Abfall auf dem Gebiet des Kantons Thurgau. Bei der Elektrizität sind nur die Emissionen für den Betrieb von fossilen Wärme-Kraft-Koppelungsanlagen auf Kantonsgebiet berücksichtigt. Der in den Kanton importierten Elektrizität werden keine CO2-Emissionen angelastet, da diese dem Produktionsstandort angerechnet werden.Datenquelle: Amt für Energie
Erneuerbare Elektrizitätsproduktion nach Energieträgern (Ebene Kanton)
Der Datensatz beinhaltet die erneuerbare Elektrizitätsproduktion nach Energieträgern im Kanton Thurgau ab dem Jahr 2015.Datenquelle: Amt für Energie
Energieförderprogramm im Kanton Thurgau: Umgesetzte Projekte in den Thurgauer Gemeinden
Die Datensätze beinhalten die Anzahl der im Rahmen des Energieförderprogramms umgesetzten Projekte in den Thurgauer Gemeinden ab dem Jahr 2008 nach Förderbereich. Datenquelle: Kompetenzzentrum für Energie Kanton Thurgau
Energieförderprogramm im Kanton Thurgau: Umgesetzte Projekte im Kanton Thurgau
Die Datensätze beinhalten die Anzahl der im Rahmen des Energieförderprogramms umgesetzten Projekte im Kanton Thurgau ab dem Jahr 2008 nach Förderbereich. Datenquelle: Kompetenzzentrum für Energie Kanton Thurgau
CO2-Emissionen im Gebäudebereich nach Energieträgern und Gemeinden
Der Datensatz beinhaltet die CO2-Emissionen im Gebäudebereich nach Energieträgern und nach Gemeinden ab dem Jahr 2015.Datenquelle: Amt für Energie
Cropland and grassland map of Switzerland based on Sentinel-2 data
We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.
Three-dimensional debris flow simulation tool debrisInterMixing
Here debrisInterMixing until version 7 is provided for download. Further versions as well as installation instructions and tutorials and discussion forums (mostly in german) can be acessed at murgang.org (choose "als Gast anmelden" and then scroll to the bottom). The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017. DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter. For more information, please contact albrecht.vonboetticher@wasserbau.ch. For a recent summary on applications see the DFHM8 contribution at https://www.e3s-conferences.org/articles/e3sconf/abs/2023/52/e3sconf_dfhm82023_02024/e3sconf_dfhm82023_02024.html - DOI: https://doi.org/10.1051/e3sconf/202341502024 UPDATE: DebrisInterMixing for OpenFOAM-7 is available, please contact albrecht.vonboetticher@wasserbau.ch. DebrisInterMixing with OpenFOAM-10 is ready but not yet validated.
Environmental DNA Freshwater Colombia Magdalena 2022
Monitoring of vertebrates of the lower Magdalena river through eDNA metabarcoding The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets targeting different regions of the mitochondrial DNA 12S ribosomal RNA gene, to detect vertebrate diversity in the Magdalena River. We detected a total of 159 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases in relation to the proximity to the river mouth with a change in the composition of the assemblage of aquatic vertebrates detected. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. Samples were taken at the sides of the river or in the center using a boat. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 1 hours, during which a maximum of 30 liters of water were filtered through each 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. 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)
Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy
Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.