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.
30
datasets available to search
ShareScore release 0.9.0
Dataset results
30 results for “Lake Geneva”
Temperature and ADCP data collected on Lake Geneva between 2015 and 2017
<p>Data collected between 2015 and 2017 on Lake Geneva by Acoustic Doppler Current Profiler (ADCP) and CTDs. One file includes all the temperature profiles, the two others are the ADCP data (up- and down-looking) at the SHL2 station (centre of the main basin). Coordinates of the SHL2 station are 534700 and 144950 in the Swiss CH1903 coordinate system. The file with the CTD data contains the coordinates of the sample location (lat, lon), times (in MATLAB time), depths (in meters) and temperatures (in °C).</p> <p>All files are in MATLAB .mat format.</p>
Data for: Wind-induced hypolimnetic upwelling between the multi-depth basins of Lake Geneva during winter: An overlooked deepwater renewal mechanism?
<p>Combining field observations, 3D hydrodynamic modeling and particle tracking, we investigated wind-driven interbasin exchange, and in particular hypolimnetic upwelling, between the deep <em>Grand Lac</em> (max. depth 309 m) and shallow <em>Petit Lac</em> (max. depth 75 m) basins of Lake Geneva (Switzerland/France) during the weakly stratified fall/winter period 2018-2019.</p> <p><br> The data include measurements from moored Acoustic Doppler Current Profilers (ADCPs) and vertical thermistor lines along with the corresponding 3D modeling and particle tracking results.</p> <p><br> The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).</p> <p><br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118)</p>
Velocity and temperature data from Lake Geneva (CH), collected during year 2016
<p>Data collected by 4 Acoustic Doppler Current Profilers (ADCPs) in Lake Geneva (Switzerland), during year 2016. The four files include velocity data, vertically averaged using the depth bins with sufficiently good quality, and corresponding frequency spectra. Temperature data recorded by the ADCPs, at the instruments depth, are also provided, as well as their frequency spectra. All files also include the results from a numerical model of the lake hydrodynamics, at the positions of the ADCPs and at overlapping times.</p> <p>All files are in HDF5 format, and include relevant metadata.</p> <p>Summary of datasets:</p> <ul> <li><strong>16A</strong>, deployed at (517, 137)km (CH1903 coordinates), measured depth range (velocity) 10-70m, deployed on 8 July 2016, recovered on 2 November 2016. ADCP deployed at the bottom, depth of 82m, vertical resolution of 2m.</li> <li><strong>16B</strong>, deployed at (511, 138)km (CH1903 coordinates), measured depth range (velocity) 15-37m, deployed on 8 July 2016, recovered on 29 October 2016. ADCP deployed at the bottom, depth of 45m, vertical resolution of 1m. Data from this ADCP has a low signal-to-noise ratio for velocity.</li> <li><strong>16C</strong>, deployed at (529, 150)km (CH1903 coordinates), measured depth range (velocity) 15-65m, deployed on 18 July 2016, recovered on 16 December 2016. ADCP deployed at the bottom, depth of 77m, vertical resolution of 2m.</li> <li><strong>16D</strong>, deployed at (554, 139)km (CH1903 coordinates), measured depth range (velocity) 15-85m, deployed on 23 September 2016, recovered on 23 January 2017. ADCP deployed at a depth of 90m, bottom depth of approximately 130m, vertical resolution of 2m.</li> </ul> <p> </p>
Data for: Nonlinear dynamics of the near-shore boundary layer of a large lake (Lake Geneva)
<p>We examined near-shore and pelagic current variability in Lake Geneva, a large and deep lake in western Europe, using observations from several measurement locations and a three dimensional numerical model, based on the period 2014–2016. The data include measurements from Acoustic Doppler Current Profiler (ADCP) campaigns and vertical temperature profiles along with the corresponding modelling results. The model used in this study is based on the MIT General Circulation Model (MITgcm, <a href="http://mitgcm.org/">http://mitgcm.org/</a>, <a href="https://doi.org/10.1029/96JC02775">https://doi.org/10.1029/96JC02775</a>).</p>
Data for: Strong bottom currents in large, deep Lake Geneva generated by higher vertical-mode Poincaré waves
<p>Combining entire summer season current and temperature observations and 3D numerical modeling, we demonstrate that previously undetected vertical mode-two and vertical mode-three Poincaré waves in 309-meter deep Lake Geneva (Switzerland/France) generate strong bottom-boundary layer currents at 300-m depth. The data include measurements from moored Acoustic Doppler Current Profilers (ADCPs), vertical thermistor lines, and the corresponding 3D modeling results. The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, <a href="http://mitgcm.org/">http://mitgcm.org/</a>, <a href="https://doi.org/10.1029/96JC02775">https://doi.org/10.1029/96JC02775</a>). The main MITgcm model configuration files are available online at <a href="https://doi.org/10.5281/zenodo.13144189">https://doi.org/10.5281/zenodo.13144189</a>.</p> <p>The related scientific publication can be found at <a href="https://doi.org/10.1038/s43247-024-01653-8">https://doi.org/10.1038/s43247-024-01653-8</a></p>
Data from: Full-factorial breeding experiment with lake char (lake Geneva, winter 2018/2019)
<p><span>The 'good genes' hypotheses of sexual selection predict that females prefer males with strong ornaments because they are in good health and vigor and can afford the costs of the ornaments. A key assumption of this concept is that male health and vigor are useful predictors of genetic quality and hence offspring performance. We tested this prediction in wild-caught lake char (<em>Salvelinus umbla</em>) whose breeding coloration is known to reveal aspects of male health. We first reanalyzed results from sperm competition trials in which embryos of known parenthood had been raised singly in either a stress- or non-stress environment. Paternal coloration did not correlate with any measures of offspring performance. However, offspring growth was reduced with higher kinship coefficients between the parents. To test the robustness of these first observations, we collected a new sample of wild males and females, used their gametes in a full-factorial <em>in vitro</em> breeding experiment, and singly raised about 3,000 embryos in either a stress- or non-stress environment (stress induced by microbes). Again, paternal coloration did not predict offspring performance, while offspring growth was reduced with higher kinship between the parents. We conclude that, in lake char, the genetic benefits of mate choice would be strongest if females could recognize and avoid genetically related males, while male breeding colors may be more relevant in intra-sexual selection.</span></p>
CO2 flux measurements in Lake Geneva
<p>Dataset contain CO2 flux, CO2 in water and CO2 in atmosphere</p>
Full-factorial breeding experiment with lake char (Lake Geneva, winter 2017/2018)
<p>We sampled 16 wild lake char (<em>Salvelinus umbla</em>) and used their gametes to investigate the genetic consequences of different mating scenarios. A full-factorial breeding was used to separate additive genetic from maternal environmental effects, and embryos were raised singly after sublethal exposures to a pathogen, a common pollutant, or water only. In all treatment groups, embryo development was strongly reduced with increased genetic relatedness between the parents. Contrary to predictions of 'good genes' sexual selection, pathogen tolerance of offspring declined with increasing coloration of their fathers.</p> <p>Determination of inbreeding and kinship coefficients: All 10 males and 4 of the 6 females were used in a parallel study that included sperm competition experiments (Nusbaumer et a. 2021). These 14 parents had been prepared in one library for ddRAD sequencing on 2 lanes on an Illumina HIseq 2500 (see de Guttry et al. 2022 for the corresponding 14 gzipped .fastq of these individuals). The remaining 2 females were later genotyped in a different library but again on an Illumina HIseq 2500. After demultiplexing, the 16 individuals were processed together using stacks 2.53, and with the resulting filtered VCF file estimations of kinship and inbreeding have been done. For each individual, the fastq files of the 2 sequencings lanes (2018/2019), or of the replicates within the same library (2021), were merged after demultiplexing using process_radtags (Stacks 2.53). The bash and R scripts are provided. There are no legal or ethical considerations regarding the above-mentioned data.</p>
CO2, O2, and Alkalinity in Lake Geneva
<p>Dataset contain hourly measurments of CO2, O2, Alkalinity, and other environmental dataset as well as GPP rate computed in the pelagic and littoral environment of Lake Geneva.</p> <p> </p> <p> </p>
Full-factorial breeding experiment with lake char (Lake Geneva, winter 2017/2018)
Open the record for dataset details and reuse information.
Data from: Full-factorial breeding experiment with lake char (lake Geneva, winter 2018/2019)
Open the record for dataset details and reuse information.
Exploring archaeal and bacterial diversity and co-occurrence in Lake Geneva
<p>Fastq files, OTU tables, tags list.</p>
Data for: Wintertime coastal upwelling in Lake Geneva: An efficient transport process for deep-water renewal in a large, deep lake
<p>Combining field measurements, 3D numerical modeling and Lagrangian particle tracking,<br> we investigated wind-driven, Ekman-type coastal upwelling during the weakly stratified winter period 2017/2018<br> in Lake Geneva, a large and deep lake in western Europe. The data include measurements from<br> moored Acoustic Doppler Current Profilers (ADCP) and vertical temperature profiles<br> along with the corresponding 3D modeling and particle tracking results.<br> The three-dimensional model used in this study is based on the MIT General<br> Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).<br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118).</p>
Sperm competition experiment with lake char (Lake Geneva 2017/18)
<p><span>Male and female wild lake char (</span><em>Salvelinus umbla</em>) <span>were sampled from Lake Geneva in December 2017 and December 2018. Male size and colouration (all samples, N = 34) were compared to milt characteristics. For the 2017 samples, m</span><span>ilt characteristics were also determined after sperm activation in diluted ovarian fluid or </span><span>water only, and the gametes were used in sperm competition trials:</span><span> Equal numbers of sperm competed for fertilization in the presence or absence of ovarian fluids. The resulting embryos were raised singly in an environment that supports symbiotic microbes (sublethal stress) or in a clean environment, and microsatellite markers were used to assign in total 1,464 embryos (from 70 experimental trials) to their fathers. Overall, the sperm of more colourful males were faster and reached higher fertilization success than the sperm of pale males. These differences were enhanced by the presence of ovarian fluids. The primary sex ratio did not differ among families and was about 1:1. Female embryos hatched on average later and showed lower stress tolerance than male embryos. There were significant parental effects on offspring growth and mortality, but the sex differences in embryo performance were not family-specific. Offspring of yellow males seemed less stress-tolerant than those of pale males, and embryo development was slowed down with increasing genetic similarity between the parents.</span></p>
Inbreeding and kinship coefficients of parents of sperm competition experiment with lake char (Lake Geneva 2017/18)
<p>A total of 14 lake char (<em>Salvelinus umbla</em>) were genotyped in the same library using ddRADsequencing. The data includes 14 gzipped .fastq files generated using 2 lanes of sequencing on an Illumina HIseq 2500 and the final dataset with the final estimates of kinship and inbreeding. For each individual, the fastq files of the 2 sequencings lanes were merged after demultiplexing using <em>process_radtags</em> (Stacks 1.48). We provide the bash and R scripts that we used. There are no legal or ethical considerations regarding the above-mentioned data.</p>
Seasonality of cyanobacteria and eukaryotes in Lake Geneva and the impacts of cyanotoxins on growth of the model ciliate Tetrahymena pyriformis
<p><span>Toxic cyanobacteria are likely to be favored by global warming and other human impacts, posing significant threats to aquatic ecosystems. While cyanobacterial blooms in eutrophic lakes are widely investigated, the dynamics of cyanobacteria and the effects of their toxins and bioactive metabolites on the plankton communities in mesotrophic and oligotrophic lakes are less well understood. Here we investigated seasonal dynamics of cyanobacteria, eukaryotic algae and cyanotoxins in oligo-mesotrophic Lake Geneva—the largest and deepest lake in western Europe. High-throughput sequencing of the 16S rRNA genes in 143 samples along a water column revealed that Lake Geneva hosts diverse, co-dominant cyanobacterial genera, including <em>Planktothrix</em>, <em>Cyanobium</em>, <em>Pseudanabaena</em>, and <em>Aphanizomenon. </em>The abundance of the <em>mcyA</em> gene marker for microcystin production was highly correlated with total cyanobacteria abundance, obtained from qPCR of the 16S rRNA genes. Targeted LC-HRMS/MS analysis demonstrated peak concentrations of cyanotoxins in September and December 2021 at the deep chlorophyll-a maximum layer, reaching up to 1474 ng/l for anabaenopeptins and 144 ng/l for microcystins. The toxin peaks did not correlate with the abundance or variations in the cyanobacteria or eukaryote community, but they were correlated in time with seasonal lows in the abundances of ciliates (18S rRNA analysis). Laboratory exposure tests demonstrated that growth of the model ciliate <em>Tetrahymena pyriformis </em>was inhibited by Microcystin-RR and Anabaenopeptin A at environmentally relevant concentrations in the ng/l-range, in natural lake water, </span><span>synthetic freshwater, and growth media spiked with the cyanotoxins. Our findings suggest that even low concentrations (in the ng/l-range) of microcystins and anabaenopeptins, reduce growth of ciliates such as <em>T. pyriformis</em> and can be expected to have wider impacts on the eukaryote communities. </span></p>
Data for article "Waterborne virus transport and risk assessment in Lake Geneva under climate change"
<p>Radiation_2019_Aigle contains the daily global radiation measurement data at Station Aigle for the year of 2019.</p> <p>Radiation_yearly contains the historical yearly mean global radiation measurement data at Station Aigle.</p> <p>Virus concentration_measurement contains sewage virus measurement data.</p> <p>Code_and_simulation_files contain files used for hydrodynamic and water quality simulations as well as risk assessment.</p> <p> </p>
Data from CoFish: co-designing citizen science between fishers and scientists to monitor the phosphorus distribution across two Lake Geneva basins
Open the record for dataset details and reuse information.
Sperm competition experiment with lake char (Lake Geneva 2017/18)
Open the record for dataset details and reuse information.
Inbreeding and kinship coefficients of parents of sperm competition experiment with lake char (Lake Geneva 2017/18)
Open the record for dataset details and reuse information.
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.