Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
767
datasets available to search
ShareScore release 0.9.0
Dataset results
767 results for “switzerland”
Research Beyond the Lab, Spring Term 2022, Global Health Engineering, ETH Zurich. Raw data and analysis-ready derived data on waste management in public spaces in Zurich, Switzerland.
<p>This repository contains all raw and derived data produced as part of the <a href="https://rbtl-fs22.github.io/website/">ETH Zurich course "Research Beyond the Lab: Open Science and Research Methods for a Global Engineer" (151-8102-00L)</a> offered in spring term 2022.</p> <p>Students were assigned teams of four to conduct a collaborative research project broadly addressing the theme of “Trash in the Public Spaces of Zurich” in collaboration with <a href="https://www.stadt-zuerich.ch/ted/de/index/entsorgung_recycling.html">Entsorgung & Recycling Zürich (ERZ)</a>, the waste management department at Stadt Zürich.</p> <p>Research methods and design are taught in the first half of the course. Surveys and a waste characterisation study are then designed based on the research questions students have developed in their respective teams. The collected raw data is used in the course to teach principles of research data management, tidy data structures, reproducible research with R & RStudio, and collaboration and version control with Git & GitHub.</p>
Historical and modern view of Vallon de Nant, Switzerland (1912 and 2021)
<p>Comparison of a historical view of the Vallon de Nant and a modern view. The postcard has been published here by Robert Di Salvo <a href="https://notrehistoire.ch/entries/lyYnl9ov8E9">https://notrehistoire.ch/entries/lyYnl9ov8E9</a> and is republished here with his authorization. The recent view has been taken by Anthony Michelon on 12 November 2021 at 13h at the position 574722E/121303N (CH1903) or 46.242682N/7.110908E (WGS84) at elevation 1785 masl. The comparison was first published in the PhD thesis of Anthony Michelon (2022, <a href="https://serval.unil.ch/en/notice/serval:BIB_0C61AF744730">link</a>)</p>
On-Glacier Meteorological Data for Haut Glacier d'Arolla, Switzerland
<p>The compiled dataset is a series of summer meteorological observations on the Swiss Haut Glacier d'Arolla (45.97°N, 7.52°E) <br>to support the analysis presented in the manuscript:</p><p>%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%<br> "The Decaying Near-Surface Boundary Layer of a Retreating Alpine Glacier", <br>submitted to Geophysical Research Letters. </p><p>Thomas E. Shaw1, Pascal Buri1, Michael McCarthy1, Evan S. Miles1, Álvaro Ayala2, Francesca Pellicciotti1</p><p>1 Swiss Federal Institute, WSL, Birmensdorf, Switzerland<br>2 Centro de Estudios Avanzados en Zonas Áridas, La Serena, Chile</p><p>%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</p><p>The following files are provided:<br>1) 6 x xlsx files "Arolla_Meteorological_Data_[YEAR].xlsx"<br> contains within are tabs for:<br> i) The station locations and elevations (tab "[YEAR]_Info").<br> ii) All AWS/Tlogger data in hourly format (tab "[YEAR]_Met_Data").<br> iii) Only the hourly air temperature data for on-glacier sites (tab "[YEAR]_Ta").</p><p>2) Glacier outlines (.shp) for years 1850 (GLAMOS), 1973 (GLAMOS), 1994 (Carenzo, 2012), 1999 (Carenzo et al., 2012), 2010 (GLAMOS), 2022 (Digitised from PlanetScope imagery).<br>3) Debris cover area (.shp) derived by applying an NDSI classification of cloud filtered, summer Landsat scenes in Google Earth Engine following the approach of Scherler et al. (2018).</p><p>For the meteorological data in 1), the following variables are provided:<br>"TA" = near surface air temperature (°C).<br>"RH" - relative humidity (%).<br>"SWIN" - Shortwave incoming radiation (Wm^-2).<br>"SWOUT" - Shortwave outgoing radiation (Wm^-2).<br>"LWIN" - Longwave incoming radiation (Wm^-2).<br>"LWOUT" - Longwave outgoing radiation (Wm^-2).<br>"FF" - Wind speed (m s-1).<br>"DIR" - Wind direction (°).<br>"PP" - precipitation (mm).<br>"DEW" - dew point temperature (°C).</p><p>The term "OG" refers to an off-glacier station, which are numbered accordingly. If no variable names are given as a header in the "Met_Data" tab, then the data are air temperature values. </p><p>Data are filtered for obvious errors and errors are then removed. Data are not gap-filled as this would affect the analysis presented about patterns in air temperature data. </p><p>Data were checked and compiled by Thomas Shaw (WSL) - thomas.shaw@wsl.ch<br>Data were measured by ETH (2001-2010) and WSL as part of the Marie-Curie Project 'TEMPEST' (2021-2022).</p><p>Details of data collection and analysis can be found in:<br>Strasser et al. (2004) - 2001.<br>Carenzo (2012) - 2001-2010.<br>Shaw et al. (N.D.) 2021-2022. </p><p>%% CITED WORK</p><p>Carenzo, M. (2012). Distributed modelling of changes in glacier mass balance and runoff (Issue 20616). ETH Zurich.</p><p>Scherler, D., Wulf, H., & Gorelick, N. (2018). Global Assessment of Supraglacial Debris-Cover Extents. Geophysical Research Letters, 45(21), 11,798-11,805. https://doi.org/10.1029/2018GL080158</p><p><strong>Shaw, T. E.,</strong> Buri, P., McCarthy, M., Miles, E. S., Ayala, Á., & Pellicciotti, F. (2023). The Decaying Near-Surface Boundary Layer of a Retreating Alpine Glacier. <i>Geophysical Research Letters</i>, <i>50</i>, 1–12. <a href="https://doi.org/10.1029/2023GL103043">https://doi.org/10.1029/2023GL103043</a></p><p>Strasser, U., Corripio, J. G., Pellicciotti, F., Burlando, P., Brock, B. W., & Funk, M. (2004). Spatial and temporal variability of meteorological variables at Haut Glacier d'Arolla (Switzerland) during the ablation season 2001: Measurements and simulations. Journal of Geophysical Research, 109, D03103. https://doi.org/10.1029/2003JD003973</p><p><br> -------------</p><p> </p><p>This work was funded by the EU Horizon 2020 Marie Skłodowska-Curie Actions Grant 101026058.</p>
Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland
<p>Data to replicate the publication "Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland?". This publication examines how public information sources and conversations about COVID-19 are associated with COVID-19 vaccination intention. Multivariable logistic regression and mediation analysis using generalized structural equation modeling were applied.</p>
Data related to upward lightning events from the Säntis Tower (Switzerland) during the LMA summer campaign 2017
<p>This dataset is associated with the paper titled "Meteorological aspects of self-initiated upward lightning at the Säntis tower (Switzerland)" accepted for publication in Journal of Geophysical Research – Atmospheres (19 September 2019)</p> <p>The data includes lightning mapping array (LMA) data from 3 days of the summer of 2017 measurement campaign that was carried out in the surroundings of the Säntis Mountain (2,505 m ASL, Switzerland). The LMA was deployed to measure upward lightning activity at the Säntis tower. Additional data used in the analysis includes lightning currents from the instrumented Säntis Tower (EPFL and HEIG-VD); Polarimetric weather radar data from the Albis C-band radar (MeteoSwiss); Vertical temperature profiles from the COSMO model and; Wind data from the Säntis meteorological station (MeteoSwiss).</p>
Fig. 1 in Phylogenetic notes on the rare Mediterranean digger wasp Psenulus fulvicornis (Schenck, 1857) (Hymenoptera: Crabronidae) new to Switzerland
Fig. 1. Sampling sites of Psenulus fulvicornis (Schenck, 1857) (large filled circles) and Psenulus schencki (Tournier, 1889) (squares) used for the DNA barcode sequencing of the mitochondrial cox1 locus. Small filled circles show georeferenced distribution records of P. fulvicornis with confirmed determinations by Schmid-Egger (2002) together with newer records by Gayubo et al. (2012), Mokrousov & Popov (2016), Reder & Niehuis (2014), Standfuss & Standfuss (2012) and Zsolt (2008). The triangle represents the undetermined specimen (PSC-7) from Pisa, Italy.
Fig. 5 in Phylogenetic notes on the rare Mediterranean digger wasp Psenulus fulvicornis (Schenck, 1857) (Hymenoptera: Crabronidae) new to Switzerland
Fig. 5. Maximum likelihood tree showing the phylogenetic relationships within Psenulus taxa based on cox1 and the GTR+G substitution model. All bifurcations with bootstrap values below 60% were collapsed. The bold black lines indicate bootstrap of at least 70% and the thick grey bifurcations 60-70%. Both Diodontus minutus (Fabricius, 1793) and Pemphredon lethifer (Shuckard, 1837) sequences root this tree. Specimens are labelled with the sample ID, their GenBank accession number or the Barcode Identification Number of the BOLD System, and the collection site if known (see supplementary Table S1). Six lineages I–VI were found within the P. fulvicornis-Group.
Early Instrumental Meteorological Measurements in Switzerland
<p>This dataset encompasses early instrumental measurement series that have been gathered and digitised in the context of the Swiss National Science Foundation project Nr. 169676 “Swiss Early Instrumental Measurements for Studying Decadal Climate Variability (CHIMES)”. The newest version of the dataset (v2_2020-04) contains an update of certain URLs indicated on the description (first page) of each PDF-Document. It does not contain any new measurement series compared to the original version.</p> <p>An overview on the individual series on ZENODO is given in the summary table in the description PDF-file.</p> <p>The dataset, organised alphabetically by location name is provided as a .zip-file. General information and terms of use are indicated on the first page of each file.</p> <p>To find further information about all Swiss measurement series (also the ones not published on ZENODO) consider the full inventory provided separately as CSV-file.</p> <p> </p>
The CH-IRP data set: fortnightly data of δ2H and δ18O in streamflow and precipitation in Switzerland
<p>The data set contains δ<sup>2</sup>H and δ<sup>18</sup>O from fortnightly grab samples in streamflow and corresponding monthly precipitation derived from interpolation for 23 Swiss hydrological catchments.</p> <p>δ<sup>2</sup>H and δ<sup>18</sup>O in streamflow are provided as one ASCII file for each station. Additionally to these time series each of the files contains the Deuterium excess, the streamflow conditions preceding the sampling as well as the z-scores indicating if a sample might be a statistical outlier, assuming the data are normally distributed. All files contain further information for each sample whether double measurement was performed in the lab comments indicating for instance special sampling conditions or storage-related issues that could alter the isotopic composition due to fractionation.</p> <p>For each data file for streamflow data there is a corresponding ASCII file for catchment precipitation. These contain the interpolated δ<sup>2</sup>H and δ<sup>18</sup>O in precipitation for the catchment as well as the source data that were used to derive the interpolated values.</p> <p>Associated data that can be useful for applications are provided. This is mean areal precipitation and temperature (ASCII files) as well as the topographic catchment boundaries (shape files).</p>
Data for the publication "How frequent is natural cloud seeding from ice cloud layers (<-35°C) over Switzerland?"
<p>This repository contains the data for the paper:</p> <p>Authors: Ulrike Proske, Verena Bessenbacher, Zane Dedekind, Ulrike Lohmann, and David Neubauer<br> Titel: How frequent is natural cloud seeding?<br> Date: 2020</p> <p>Note that the scripts arezeno to be found in the accompanying package (https://doi.org/10.5281/zenodo.3987754)</p>
IMPACT OF US BROWN SWISS GENETICS ON MILK QUALITY FROM LOW-INPUT HERDS IN SWITZERLAND: INTERACTIONS WITH SEASON
<p>This study aimed to investigate the effect of, and interactions between, US Brown Swiss genetics and season on milk yield, basic composition and fatty acid profiles, from cows on low-input farms in Switzerland. Milk samples (n=1,976) were collected from 1,220 crossbreed cows with differing proportions of BS, Braunvieh and Original Braunvieh genetics on 40 farms during winter-indoor and summer-grazing seasons. Cows with more Brown Swiss genetics produced more milk in winter but not in summer, possibly because of underfeeding high-yielding cows on low-input pasture-based diets. Cows with more Original Braunvieh genetics produced milk with higher concentrations of (i) nutritionally desirable <em>trans</em>-9 palmitoleic, eicosapentaenoic and docosapentaenoic acids, throughout the year, and (ii) vaccenic and α-linolenic acids, total omega-3 fatty acids concentrations and a higher omega-3/omega-6 ratio during the summer-grazing period only. This suggests that overall milk quality could be improved by re-focusing breeding strategies on the cows’ ability to respond to local dietary environments and seasonal changes in feeding regimes.</p>
Fig. 15 in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 15. Overview over the distribution of variable features occurring in two or more skulls (category II and III characters; CII and CIII, respectively) in the 18 most complete skulls of Plateosaurus examined herein. The prevalent character state is marked with "a", while the rarer state is marked with "b". Intermediate states are marked with "c". No correlations of feature combinations that might indicate distinct species are evident, and the observed pattern is consistent with intraspecific variability.
Fig. 8. A in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 8. A. Skull of the late-stage juvenile Plateosaurus trossingensis (MSF 12.3) from the Triassic of Frick, Switzerland. Ambient occlusion of photogrammetric model in dorsal view (A1) and interpretative diagram (A2); photograph of the skull in oblique view (A3); photograph of the right lateral view (A4) and interpretative diagram (A5). Abbreviations: at, atlas; d, dentary; f, frontal; j, jugal; l, lacrimal; ls, laterosphenoid; mx, maxilla; na, nasal; oph, opisthotic; p, parietal; pf, prefrontal; pmx, premaxilla; po, postorbital; pra, prearticular; q, quadrate; qj, quadratojugal; sa, surangular; so, supraoccipital; sq, squamosal; ud, undefined.
Fig. 13. A in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 13. A. Skull of Plateosaurus trossingensis (MSF 08.M) from the Triassic of Frick, Switzerland. A. Photograph of main block, skull exposed in medial view (A1); ambient occlusion of photogrammetric model of the main block (A2) and interpretational diagram (A3). B. Disarticulated right quadrate in anterior (B1), lateral (B2), medial (B3), and posterior (B4) views. C. Disarticulated braincase in anterolateral (C1), posterior (C2), left lateral (C3), and ventral (C4) views. Abbreviations: af, antorbital fenestra; bp, basipterygoid process; bt, basipterygoid tubera; l, lacrimal; mnpr, median process; mx, maxilla; na, nasal; o, orbit; oc, occipital condyle; par, paroccipital process; ps, parasphenoid; pt, pterygoid; scl, sclerotic ring; so, supraoccipital; stu, sella turcica.
Fig. 7. A in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 7. A. Skull of Plateosaurus trossingensis (NAAG_00011238) from the Triassic of Frick, Switzerland. Photograph in lateral view (A1) (by Georg Oleschinski, University of Bonn, Germany); ambient occlusion of photogrammetric model (A2); interpretative diagram (A3). B. Orthophoto of photogrammetric model of disarticulated skull material (NAAG_00011239). Abbreviations: d, dentary; f, frontal; fo, foramen magnum; j, jugal; mx, maxilla; na, nasal; p, parietal; pf, prefrontal; pmx, premaxilla; po, postorbital; pt, pterygoid; q, quadrate; qj, quadratojugal; sa, surangular; scl, sclerotic ring; sq, squamosal.
Fig. 6. A in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 6. A. Skull of Plateosaurus trossingensis (MSF 23) from the Triassic of Frick, Switzerland. Photograph in lateral view (A1) (by Georg Oleschinski, University of Bonn, Germany); ambient occlusion of photogrammetric model (A2); interpretative diagram (A3). B. Detail of lacrimal and prefrontal of the right side of GPIT-PV-30784 from Trossingen. Abbreviations: bo, basioccipital; br, braincase; cb, ceratobranchial; d, dentary; f, frontal; j, jugal; l, lacrimal; mx, maxilla; na, nasal; p, parietal; pf, prefrontal; pmx, premaxilla; po, postorbital; pra, prearticular; pt, pterygoid; q, quadrate; sa, surangular; sp, splenial; sq, squamosal; ud, undefined.
Fig. 4. A in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 4. A. Skull of Plateosaurus trossingensis (MSF 11.4) from the Triassic of Frick, Switzerland. Photograph of the right side (A1) and interpretative diagram (A2); ambient occlusion of the 3D-model of the right side (A3) and interpretative diagram (A4); photograph in dorsal view (A5) and interpretative diagram (A6). B. The jugal-quadratojugal articulation as seen in GPIT-PV-30784 from Trossingen. Abbreviations: an, angular; cb, ceratobranchial; d, dentary; f, frontal; j, jugal; l, lacrimal; mx, maxilla; na, nasal; p, parietal; pf, prefrontal; pmx, premaxilla; po, postorbital; pra, prearticular; q, quadrate; qj, quadratojugal; sa, surangular; sq, squamosal.
Fig. 2 in New skulls of the basal sauropodomorph Plateosaurus trossingensis from Frick, Switzerland: Is there more than one species?
Fig. 2. Bone shortening due to plastic deformation. A. Compression may lead to substantial shortening along the axis of deformation. Note that no widening occurs. B. Right humerus of MSF 12.3 in posterior (B1) and medial (B2) views, showing extreme anteroposterior compression especially of the distal end. Despite this compression, the bone is not significantly widened in posterior view when compared with the relatively undeformed humerus of GPIT-PV-30785.
Vulnerability tools - Swiss Alps (Switzerland)
<p>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Swiss Alps Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</p>
Vulnerability tools - Swiss Jura (Switzerland)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Swiss Jura Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.