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767 results for “switzerland”
OAPEN-CH – The impact of open access on scientific monographs in Switzerland. A project conducted by the Swiss National Science Foundation (SNSF)
<p>The Swiss National Science Foundation (SNSF) launched the OAPEN-CH pilot project in summer 2014. At that time, it had introduced new funding policies that only covered books that were published online and openly accessible after an embargo period of no more than 24 months. The pilot study set out to learn more about the changes to academic publishing and pave the way for future adaptations to funding policies.</p> <p>The findings of the shared learning process are now available. They are encouraging in that they produce a clear verdict for the scientific monograph: a digital edition that is freely available on the Internet increases the trackability, visibility and use of monographs. Open access does not have a negative impact on printed book sales. Facilitating and promoting open access will benefit the academic community and society at large as well as publishers and funders.</p> <p>The results of the OAPEN-CH pilot study have already been integrated into the new open access policy of the SNSF, which entered into force on 1 April 2018.</p>
Snow cover simulations and avalanche dynamics simulations for the area of Davos, Switzerland (2011-2014)
<p>Alpine3D model simulations of the snow cover at 100m resolution for the area surrounding Davos for the period October 2010 to September 2014.</p> <p>Avalanche dynamics simulations using the RAMMS-Extended model of 169 selected avalanches in the same period, using initial conditions as simulated by the Alpine3D model.</p> <p>This dataset belongs to:</p> <p>Wever, N., Vera Valero, C., and Techel, F. (2018): <em>Coupled snow cover and avalanche dynamics simulations to evaluate wet snow avalanche activity</em>, J. Geophys. Res. Earth Surf., 123, 1772–1796 <a href="https://doi.org/10.1029/2017JF004515">doi: 10.1029/2017JF004515.</a></p>
Permafrost and Ground Ice Map of Switzerland
<p>Save the layer file (.lyr) together with the other files (Shapefiles) in a common folder and load the layer file in a GIS or geoviewer application to see the map.</p> <p>If your GIS-Application does not support .lyr files you can define the visualization of the map by yourself using the field “indicator” in the shapefiles attribute table. This field contain the numbers -3; -2; -1; 0; 1; 5 and 9 which have the following meaning:</p> <p>-3 = permafrost < -3°C</p> <p>-2 = permafrost -2 to -3°C</p> <p>-1 = permafrost < -1 to -2°C</p> <p>0 = permafrost < 0 to -1°C</p> <p>1 = Ground temperatures 0 to +1°C (possible patchy permafrost)</p> <p>5 = potential ice-rich permafrost</p> <p>9= glacier</p> <p> </p> <p>The PGIM and legends can also be accessed online at www.slf.ch\pgim</p> <p>The shapefile contain a countrywide permafrost distribution map of Switzerland, indicating ground temperatures and ice content. A new representation of ground temperatures is achieved by distinguishing ice-poor and ice-rich permafrost in the modelling process. There is a very strong correlation of ground temperatures with elevation and potential incoming solar radiation in ice-poor and ice-free ground. The distribution of ice-rich permafrost was defined by modelling mass wasting processes and the integration of snow and ice into the ground caused by them. This approach yields a relatively accurate and largely unambiguous map. Permafrost occurrence is represented by two clearly defined classes: Zone 1 representing modelled ground temperatures and zone 2 indicating excess ground ice outside of zone 1. 58% of 92 validation sites could be definitively classified as having permafrost or no permafrost. If only ice-poor or –free ground is considered, this value reaches 90%.</p>
Scripts developed to modelling the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery.
<p>The zipfile contains the scripts developed in the paper on the modelling of the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery, as published in Remote Sensing Applications: Society and Environment journal (RSASE - Elsevier). </p> <ul> <li>Scripts developed for the extraction of light sources from night orthophotography ; [SAFE Software Inc. (2017). FME Desktop Esri Edition.Version 2017.1.]</li> <li>ModelBuilder developed for the visibility modelling of light sources ; [ESRI (2017). ArcGIS Desktop Pro.Version 2.1.]</li> </ul>
Fig. 9 in Morphological description and multilocus genotyping of Onchocerca spp. in red deer (Cervus elaphus) in Switzerland
Fig. 9. Detail of Onchocerca flexuosa female: Uterine tubes (arrow) straightened inside curly body.
Fig. 2 in Syngamus trachea in free-ranging white stork (Ciconia ciconia) nestlings in Switzerland
Fig. 2. Stereo microscope image of a Syngamus trachea pair locked in permanent copulation.
Outputs from policy sprint "How does artificial intelligence contribute to sustainability in Switzerland?"
<p>This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki.</p> <p>The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis.</p> <p>sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.<br>metadata.csv contains an explanation of all columns in sprint_outputs.csv.</p> <p>The dataset accompanies an analysis of the policy sprint published in (preprint) form at <a href="https://doi.org/10.31235/osf.io/xykej">https://doi.org/10.31235/osf.io/xykej</a>.<br>When citing this dataset, please credit the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.</p>
Covsel output summary of 141 native - non-native plant species pairs in Switzerland
<p>The covariates as selected by the covsel R package (Adde et al. 2023) for 141 native - non-native congeneric plant species pairs in Switzerland.</p> <p>Publication of covsel R package:</p> <p>Adde, A., Rey, P.-L., Fopp, F., Petitpierre, B., Schweiger, A. K., Broennimann, O., Lehmann, A., Zimmermann, N. E., Altermatt, F., Pellissier, L., & Guisan, A. (2023). Too many candidates: Embedded covariate selection procedure for species distribution modelling with the covsel R package. Ecological Informatics, 75, 102080. https://doi.org/10.1016/j.ecoinf.2023.102080</p>
Nests of Northern Wheatears Oenanthe oenanthe in Val Piora, Switzerland (2019 to 2022)
<p>Nests and pseudo-absence sites of Northern Wheatears <em>Oenanthe oenanthe</em> in Val Piora, Switzerland (2019 to 2022) with habitat predictors and success</p>
Study data for the journal article "Mental health of individuals at increased suicide risk after hospital discharge and initial findings on the usefulness of a suicide prevention project in Central Switzerland"
<p>Anonymized raw data of our cross-sectional survey study.</p> <p>id = study participant ID; se1-se10 = questions of the General Self-Efficacy Scale; sm1-sm5 = questions of the Self-Management Self-Test; hl1-hl12 = questions of the Health Literacy Questionnaire (Swiss version); prisms = question on the utilization of the PRISM-S technique; sp1-sp4 = questions on the utilization and perceived usefulness of the personal safety plan; app1-app7 = questions on the utilization and perceived usefulness of the SERO app; ensa = question on the participation in ensa courses; sex-income = sociodemographic questions</p>
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Switzerland
<p>This dataset contains the results of the surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul>
Dietary acculturation of Somali Migrant Women in Switzerland - Data
<p>Dataset for the scientific publication "Dietary acculturation of Somali Migrant Women in Switzerland".</p>
Psychological adjustment in Third Culture Kids living in Switzerland: Data Set
<p>demographic variables:</p> <p>parent's assignment length, child's agreeableness with the relocation, child's age (7–12 years and 13–17 years), school type (international or other), and history of psychological treatment </p> <p>Labels:</p> <p>parent variables (P1) parent filled child well being and mental health (CC1), child filled variables (C1)</p> <p>variables:</p> <p>Well-being using the 10-item KIDSCREEN-10 Index (The KIDSCREEN Group Europe, 2006). </p> <p>Mental health problems using the 25-item SDQ (R. Goodman, 1997). </p> <p>Emotion regulation strategies using the Emotion Regulation Questionnaire for Children and Adults (Gullone & Taffe, 2012), a 10-item self-report scale that measures expressive EES and CCS. </p> <p>Perceived stress using the 13-item Perceived Stress Scale for Children (White, 2014). </p> <p>Resilience using the 12-item Child and Youth Resilience Measure (CYRM-12; Liebenberg et al., 2013). </p> <p>Negative social cognitions using the 10-item Social Threat Subscale of the Children's Automatic Thoughts Scale (Schniering & Lyneham, 2007; Schniering & Rapee, 2002),</p> <p> </p>
Data for How to estimate whether preferential trade agreements contribute to international environmental impact shifting. A new methodology and empirical illustration for Switzerland
<p>Raw and processed data for the paper "<em>How to estimate whether preferential trade agreements contribute to international environmental impact shifting. A new methodology and empirical illustration for Switzerland"</em></p> <p>The raw trade data file is named TradeDataAggregated.rds</p> <p>The raw greenhouse gas footprint data is contained in Output_all.xlsx</p>
Data for: A taxonomic revision of ten whitefish species from lakes Lucerne, Sarnen, Sempach, and Zug, Switzerland, with descriptions of seven new species (Teleostei, Coregonidae)
<p><span>The taxonomy of the endemic whitefish of the lakes of the Reuss River system (Lucerne, Sarnen, Zug) and Lake Sempach, Switzerland, is reviewed and revised. Lake Lucerne harbours five species. <em>Coregonus</em> <em>intermundia</em> </span><span><strong>sp. nov.</strong> </span><span>and <em>C</em>. <em>suspensus</em> </span><strong><span>sp. nov.</span></strong><span>, are described. <em>Coregonus</em> <em>nobilis</em> Haack, 1882, <em>C</em>. <em>suidteri</em> Fatio, 1885, and <em>C</em>. <em>zugensis</em> Nüsslin, 1882, are redescribed. Genetic studies have shown that <em>C</em>. <em>suidteri</em> and <em>C</em>. <em>zugensis</em> are composed of several distinct species endemic to different lakes. The names <em>C</em>. <em>suidteri</em> and <em>C</em>. <em>zugensis</em> are restricted to the species of lakes Sempach and Zug, respectively. The whitefish populations previously referred to as <em>C</em>. <em>suidteri</em> and <em>C</em>. <em>zugensis</em> from Lake Lucerne are described as <em>C</em>. <em>litoralis</em> </span><span><strong>sp. nov.</strong> </span><span>and <em>C</em>. <em>muelleri</em> </span><strong><span>sp. nov.</span></strong><span>, respectively. Furthermore, the whitefish from Lake Zug that were previously referred to as <em>C</em>. <em>suidteri</em> are described as <em>C</em>. <em>supersum</em> </span><strong><span>sp. nov</span></strong><span><strong>.</strong> A holotype is designated for <em>C</em>. <em>supersum</em> that was previously one of two syntypes of <em>C</em>. <em>zugensis</em>. The other syntype is retained for <em>C</em>. <em>zugensis</em>. <em>Coregonus</em> <em>obliterus</em> </span><span><strong>sp. nov.</strong> </span><span>is described from Lake Zug, and <em>C</em>. <em>obliterus</em> and <em>C</em>. <em>zugensis</em> from Lake Zug are extinct. Finally, we describe <em>C</em>. <em>sarnensis</em> </span><span><strong>sp. nov.</strong> </span><span>from lakes Sarnen and Alpnach. <em>Coregonus</em> <em>suidteri</em> from Lake Sempach shows strong signals of introgression from deliberately translocated non-native whitefish species, which questions if the extant population still carries a genetic legacy from the original species and thus may need to be considered extinct. <em>Coregonus</em> <em>suspensus</em> is genetically partially of allochthonous origin, closely related to the radiation of Lake Constance. It is therefore compared to all known and described species of Lake Constance: <em>C</em>. <em>wartmanni</em> Bloch, 1784, <em>C</em>. <em>macrophthalmus</em> Nüsslin, 1882, <em>C</em>. <em>arenicolus</em> Kottelat,1997, and <em>C</em>. <em>gutturosus</em> Gmelin, 1818.</span></p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Switzerland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Federal Food Safety and Veterinary Office</p>
Spatial soil properties maps for Switzerland at 30 m resolution
<p>The Swiss Soil Property Map (SSPM) was developed using the quantile random forest machine learning algorithm and remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. The SSPM dataset provides maps at 30 m resolution for different soil depths (0, 30, 60, and 100 cm) in GeoTIFF format. The mean and respective uncertainty information is provided for each map. Please note that the phosphorus spatial map is only available for the topsoil (0-20 cm) due to the unavailability of the dataset at deeper depths.</p> <table> <caption>Description of soil properties (SP) and their units</caption> <tbody> <tr> <td>SP</td> <td>Description</td> <td>units</td> </tr> <tr> <td>Sand </td> <td>Sand content</td> <td>%</td> </tr> <tr> <td>Clay</td> <td>Clay content</td> <td>%</td> </tr> <tr> <td>OC</td> <td>Organic carbon content </td> <td>%</td> </tr> <tr> <td>N</td> <td>Nitrogen content</td> <td>% </td> </tr> <tr> <td>P</td> <td>Phosphorus content</td> <td>mg/kg</td> </tr> </tbody> </table> <p>For more details / to cite this dataset please use:</p> <ul> <li><strong>Gupta, S. </strong>, Hasler, K. J., Alewell, C.: Mapping soil properties of Switzerland using remote sensing datasets and machine learning approach. Manuscript <strong>submitted</strong>, <strong>Geoderma Regional</strong>, 2023</li> </ul> <p> </p>
Mountaintop gamma ray observations of three terrestrial gamma-ray flashes at the Säntis Tower, Switzerland with coincident radio waveforms
<p>We report on the mountain top observation of three terrestrial gamma-ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first published European TGFs observed from the ground. A gamma-ray sensitive detector was located at the base of the Säntis Tower in Switzerland and observed three unique TGF events with coincident radio sferic data characteristic of TGFs seen from space. We will show an example of a 'slow pulse' radio signature, an -EIP, and a double peak TGF associated with an extraordinarily powerful and complicated positive-polarity sferic, where each TGF peak is possibly preceded by a short burst of stepped leader emission. </p>
High-Resolution Vegetation Height Maps for Switzerland in 2017-2020
<p>This dataset comprises 10m-resolution vegetation height maps for Switzerland spanning from 2017 to 2020. It encompasses both mean and maximum vegetation height data, generated through the integration of Sentinel-2 and airborne laser scanning information.</p>
Haldenstein Castle, Grisons, Switzerland
Castle ruin above Haldenstein near Chur, Switzerland (https://en.wikipedia.org/wiki/Alt-Haldenstein_Castle or, in German, [https://de.wikipedia.org/wiki/Burg_Haldenstein](https://de.wikipedia.org/wiki/Burg_Haldenstein)). Recorded in April 2014 in cooperation with Jürg Spadin, AD GR, by UAV mapping. See https://goo.gl/2oiQhp for details. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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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.