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767 results for “switzerland”
Fig. 7. Box plots comparing average counts per 10 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 7. Box plots comparing average counts per 10 HPF of granulocytes, mononuclear cells, and thrombocytes between positive (n = 20) and negative (n = 20) 45- day-old Alpine swift nestlings sampled in 2022.
Fig. 5 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 5. Skeletal musculature of a nestling Alpine swift showing infiltrations of mononuclear inflammatory cells (A, B) and presumably extracellular, amastigote-like structures (C). Bursa fabricii of a nestling Alpine swift with depletion of the medullary follicle with lymphocytolysis (asterisk) and a distinct epithelium (arrows) (D).
Fig. 6 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 6. Blood smears of nestling Alpine swifts with high (A) and moderate (B) trypomastigote burdens. Close-up of a trypomastigote between erythrocytes (C).
Fig. 4 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 4. Distribution of louse flies on an Alpine swift nestling (A) compared with the distribution of bruising on post-mortem examination with plumage removed (B).
Fig. 3 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 3. Missing (left wing) and poor quality (right wing) primary feathers on a 45-day-old nestling.
Fig. 1 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 1. Map of Switzerland with the locations and appearance of the three evaluated colonies (A, B, C).
Fig. 3 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy
Fig. 3. Taxon richness (A) and test concentration (B) against moisture content expressed as a proportion.
Fig. 2 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy
Fig. 2. Taxon richness (A), Simpson diversity (B) and test concentration (C) by region. Bars show mean and error bars the standard deviation. Letters denote significant differences (P <0.05) where the global test is significant, see text for details.
Fig. 5 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy
Fig. 5. Taxon richness (A), Simpson diversity (B) and test concentration (C) for epilithic and epiphytic samples from the Karelia regions. Bars show mean and error bars the standard deviation. Letters denote significant differences (P <0.05), see text for details.
Fig. 4 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy
Fig. 4. NMDS ordination of testate amoeba relative abundance data from epilithic and epiphytic vegetation of the Karelia region (BrayCurtis dissimilarity).
Fig. 1 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy
Fig. 1. NMDS ordination of testate amoeba relative abundance data from epilithic mosses and lichens (Bray-Curtis dissimilarity).
National Checklists: Switzerland Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Catchment attributes and hydro-meteorological time series for large-sample studies across hydrologic Switzerland (CAMELS-CH)
<p>CAMELS-CH (Catchment Attributes and MEteorology for large-sample Studies - Switzerland) is a large-sample hydro-meteorological data set for hydrological Switzerland in Central Europe that covers 331 basins within Switzerland and neighboring countries (Austria, France, Germany and Italy). CAMELS-CH comprises dynamic hydro-meteorological variables and static catchment attributes.</p> <p>The data set covers 40 years of data between 1st January 1981 and 31st December 2020 for each catchment: daily time series of stream flow and water levels, of meteorological data such as precipitation and air temperature and of daily snow water equivalent data. Additionally, CAMELS-CH encompasses annual time series of land cover change and glacier evolution per catchment. The static catchment attributes comprise the following categories: location and topography, climate, hydrology, soil, hydrogeology, geology, land use, human impact and glaciers.</p> <p>The corresponding manuscript is published at the journal "Earth System Science Data" (ESSD) and available <a href="https://essd.copernicus.org/articles/15/5755/2023/">here</a>. The code used to generate the dataset is available on <a href="https://github.com/camels-ch">Github</a>.</p> <p>The data description file below contains a comprehensive list of all time series and attribute variables covered by the dataset and references to the original data sources. Further, this repository contains the "Caravan extension CH" for the "Caravan - A global community dataset for large-sample hydrology" <a href="../records/7944025">Caravan dataset</a> (see the <a href="https://github.com/kratzert/Caravan/discussions/10">list of extensions</a>). This extension has the same format like other Caravan parts and is based on the same data sources. Note that some features like the annual glacier time series, etc. are therefore only available in the original CAMELS-CH dataset.</p> <p> </p> <h2>Updates:</h2> <p>- Update version 0.9: affects "Caravan_extension_CH" - In version 1.5 of the Caravan dataset, Penman-Monteith PET was added as an additional time series feature. Additional to the new time series feature, also all pet-related climate indices were recomputed using the new Penman-Monteith PET. For consistency, the old ERA5-Land potential_evaporation time series and climate indices were kept, but renamed for a better identification of the differences. </p> <p>- Update version 0.8: resolving projection issue for shapefiles in "Caravan_extension_CH" using EPSG:4326 (WGS84); updating readme file of "camels_ch" regarding the <a href="../communities/dischma/">Dischma</a> catchment</p> <p>- Update version 0.7: update corresponding to the revision of the manuscript at "Earth System Science Data" (ESSD)</p> <ul> <li>dataset file delimiters have been changed to commas from semicolons</li> <li>the "time_series" folder was renamed to "timeseries"</li> <li>in the simulation-based data, there was an error in the previous aggregation of precipitation and evapotranspiration. The corresponding time series, affected hydrologic signatures and climatic indices were corrected</li> <li>the order of simulation-based variables in the timeseries files was changed to resemble the order shown in the tables of the corresponding publication in ESSD</li> <li>blank values that were masked by "NA" are now consistently indicated by "NaN"</li> <li>the readme file has been extended</li> </ul> <p>- Update version 0.6: updating links to related material (all links and references are available in the preprint/manuscript) and abstract</p> <p>- Update version 0.5: adding the "camels_ch_data_description.pdf" file</p> <p>- Update version 0.4: update of several static attributes in "Caravan_extension_CH" following a general update in Caravan and all its extensions + adopting the geographic coordinate system to Caravan-standard EPSG:4326</p> <p>- Update version 0.3: renaming single files/entries in "Caravan_extension_CH" to start with "camelsch" as unique Caravan extension identifier</p> <p>- Update version 0.2: CH extension to <a href="../records/7944025">Caravan</a> added</p>
Fig. 6 in Hidden in plain sight: six millipede species (Myriapoda: Diplopoda) new for the fauna of Switzerland
Fig. 6. Macrosternodesmus palicola Brölemann, 1908. (A) Adult female from Binningen (NMB-703c). Scale bar 1 mm. (B) Gonopods of male (NMB-703a) from Basel in ventral view. Scale bar 0.1 mm. Abbreviations: pf, prefemoral part of telopodite; t, telopodite; tt, tip of telopodite; s, solenomerite; sl, subrectangular lamella.
Fig. 4 in Hidden in plain sight: six millipede species (Myriapoda: Diplopoda) new for the fauna of Switzerland
Fig. 4. Heteroiulus intermedius (Brölemannn, 1892). (A) Dissected adult male from Bellinzona (NMB-272b). Scale bar 1 mm. (B) Gonopod of same male specimen in lateral view. Abbreviations modified after Enghoff et al. (2013): ag, anterior gonopod; m, mesomerite; op, "opuntia-like" appendage; s, solenomerite. Scale bar 0.1 mm.
Fig. 3 in Hidden in plain sight: six millipede species (Myriapoda: Diplopoda) new for the fauna of Switzerland
Fig. 3. Cylindroiulus vulnerarius (Berlese, 1888). (A) Adult female from Binningen (NMB-701b). Scale bar 2 mm. (B) Detail of head and anterior part of trunk of male (NMB-701a). Scale bar 0.5 mm. (C) Gonopod of same specimen in lateral view. Scale bar 0.2 mm. Abbreviations: m, mesomerite; p, promerite; s, solenomerite; sc, sperm channel.
Fig. 2. Cylindroiulus salicivorus Verhoeff, 1908 in Hidden in plain sight: six millipede species (Myriapoda: Diplopoda) new for the fauna of Switzerland
Fig. 2. Cylindroiulus salicivorus Verhoeff, 1908. (A) Adult female from Binningen (NMB-700b). Colour darkened due to preservation. Scale bar 2 mm. (B) Detail of head and anterior part of trunk of dissected male from Basel-Stadt (NMB-700a). Scale bar 0.5 mm. (C) Gonopod of same male specimen in lateral view. Scale bar 0.2 mm. Abbreviations: m, mesomerite; p, promerite; s, solenomerite; sc, sperm channel.
Fig. 5 in Hidden in plain sight: six millipede species (Myriapoda: Diplopoda) new for the fauna of Switzerland
Fig. 5. Anamastigona pulchella (Silvestri, 1894). (A) Adult female from Basel-Stadt (NMB-702e). Several setae are missing, and the colour is faded because of handling and preservation, respectively. Scale bar 1 mm. (B) Gonopod of male (NMB-702g) in lateral view. Scale bar 0.1 mm. Abbreviations: ag, anterior gonopod; cp, colpocoxite; laa, lateral arm of anterior gonopod; lap, lateral arm of posterior gonopod; t, telopodite; pg, posterior gonopod.
Fig. 1 in First record of a presumed wild common genet (Genetta genetta) in Switzerland
Fig. 1. Screen capture of the video recording a common genet (Genetta genetta) walking away from a camera trap set in the Châtillon forest, near Bernex, Geneva. This video was trigged by the genet on the 15th June 2019 at 09:58 p.m and is the second time that supposedly the same animal triggered the same camera six days earlier. The video recordings are available at https://doi.org/10.5281/zenodo.3617966.
LoGov Switzerland Workshop Report n°1
<p>The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Switzerland. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.</p>
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)
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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.