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.
5,864
datasets available to search
ShareScore release 0.9.0
Dataset results
5,864 results for “live”
Keizer et al. "Live-cell micromanipulation of a genomic locus reveals interphase chromatin mechanics" – Data, software and documentation (16/16)
<p>Data, software and documentation to reproduce the results presented in [<a href="https://www.science.org/doi/10.1126/science.abi9810">Keizer <em>et al.</em> (2022) ‘<strong>Live-cell micromanipulation of a genomic locus reveals interphase chromatin mechanics</strong>’ Science, 377:6605</a>, DOI: 10.1126/science.abi9810].</p> <table> <tbody> <tr> <td> <p><strong>Description</strong></p> </td> <td> <p><strong>Location</strong></p> </td> </tr> <tr> <td> <p><strong>Centralized GitHub repository</strong> with:</p> <ul> <li>Local copy of all the code and trajectory/force files</li> <li>Jupyter notebooks to make all the graphs in Keizer <em>et al</em>.</li> <li>Pointers to all the datasets also shown in this table</li> </ul> </td> <td> <p><a href="https://github.com/CoulonLab/Keizer-et-al">Keizer <em>et al.</em></a> repository</p> </td> </tr> <tr> <td> <p><strong>Raw microscopy data</strong>:</p> <ul> <li>Experiments performed with the <strong>30’-PR</strong> scheme</li> <li>Experiment performed with the<strong> 100”-PR</strong> scheme</li> <li>Experiment performed with high frame rate (<strong>dt = 0.5”</strong>)</li> </ul> </td> <td> <p><a href="https://zenodo.org/record/4626942">Zenodo 1</a> (30’-PR)<br> <a href="https://zenodo.org/record/4627034">Zenodo 2</a> (30’-PR)<br> <a href="https://zenodo.org/record/4626909">Zenodo 3</a> (30’-PR)<br> <a href="https://zenodo.org/record/4626914">Zenodo 4</a> (30’-PR)<br> <a href="https://zenodo.org/record/4627010">Zenodo 5</a> (30’-PR)<br> <a href="https://zenodo.org/record/4626981">Zenodo 6</a> (100”-PR)<br> <a href="https://zenodo.org/record/6510099">Zenodo 7</a> (30’-PR)<br> <a href="https://zenodo.org/record/6510103">Zenodo 8</a> (30’-PR)<br> <a href="https://zenodo.org/record/6510065">Zenodo 9</a> (dt = 0.5")<br> <a href="https://zenodo.org/record/6510105">Zenodo 10</a> (30’-PR)</p> </td> </tr> <tr> <td> <p>Concatenated TIFFs and timestamp files for all of the 30’-PR data.</p> </td> <td> <p><a href="https://zenodo.org/record/6510107">Zenodo 11</a> (1/2)<br> <a href="https://zenodo.org/record/6510109">Zenodo 12</a> (2/2)</p> </td> </tr> <tr> <td> <p><strong>Python pipeline </strong>to generate (i) concatenated movies, (ii) cropped and rotated movies for each cell, and (iii) force time profiles for each cell.</p> </td> <td> <p><a href="https://github.com/CoulonLab/chromag-pipeline">ChroMag-pipeline</a> repository</p> </td> </tr> <tr> <td> <ul> <li><strong>Final registered and rotated TIFF files</strong>: <ul> <li><strong>30’-PR</strong> experiments: n = 35 cells</li> <li><strong>100”-PR</strong> experiment, including time projections & kymograph</li> <li><strong>dt = 0.5”</strong> experiments: n = 3 cells</li> <li><strong>no force</strong>: n = 11 cells before manipulation, n = 8 cells after manipulation</li> </ul> </li> <li><strong>Data files with trajectories and force time profiles</strong> for all analyzed cells</li> <li>Instructions and Fiji/Python scripts to reproduce these files.</li> </ul> </td> <td> <p><a href="https://zenodo.org/record/6510207">Zenodo 13</a></p> </td> </tr> <tr> <td> <p><strong>Single-MNPs fluorescence</strong>: raw data, Python/Fiji scripts and instructions</p> </td> <td> <p><a href="https://zenodo.org/record/6510209">Zenodo 14</a></p> </td> </tr> <tr> <td> <ul> <li>MagSim, <strong>Python library for magnetic simulations</strong></li> <li>Jupyter notebook for calibrating and generating maps (Fig. S5 & Fig. S6).</li> </ul> </td> <td> <p><a href="https://github.com/CoulonLab/MagSim">MagSim</a> repository</p> </td> </tr> <tr> <td> <p><strong>Force calibration – Method 1</strong>: Gradient of free GFP-ferritin in solution</p> <ul> <li>Raw microscopy data (6 pillars; Fig. S6B-C)</li> <li>Calculated force maps, with Fiji scripts and instructions to generate them.</li> </ul> </td> <td> <p><a href="https://zenodo.org/record/4627062">Zenodo 15</a></p> </td> </tr> <tr> <td> <p><strong>Force calibration – Method 2</strong>: Attraction of ferritin-coated beads (Fig. S7)</p> <ul> <li>Raw microscopy data (free diffusion and attraction)</li> <li>Python/Fiji scripts to calculate forces.</li> </ul> </td> <td> <p><a href="https://zenodo.org/record/6510211">Zenodo 16</a></p> </td> </tr> <tr> <td> <ul> <li><strong>Python library for force inference</strong> using different polymer models</li> </ul> </td> <td> <p><a href="https://github.com/SGrosse-Holz/rouselib">rouselib</a> repository</p> </td> </tr> </tbody> </table> <p><strong>License:</strong> All the code, data and documentation in this repository is under <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GPLv3</a> license. The <a href="https://hal-cnrs.archives-ouvertes.fr/hal-03740646"><em>Author Accepted Manuscript</em></a> of the study [Keizer <em>et al.</em> 2022] is under <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> license. The <a href="https://www.science.org/doi/10.1126/science.abi9810"><em>Final Published Version</em></a>, published by AAAS, is not (<a href="https://www.science.org/content/page/science-licenses-journal-article-reuse">more information</a>).</p> <p> </p> <p><strong>Overview of the raw data repositories (Zenodo 1-10)</strong></p> <p><em>Refer to the Material and Methods section of the article for details on data production.</em></p> <p>Each Zenodo dataset represents one day of acquisition. It includes the data that was not retained for further downstream analysis. Each dataset contains:</p> <ul> <li>The raw MicroManager folder architecture (one folder contains multiple positions on the coverslip). On occasions where placement or removal of the external magnet led to a loss of focus, the acquisition was stopped and restarted, creating a new MicroManager folder each time. For instance: <ul> <li>The various positions were imaged before injection (folder with the <em>_preInjection,</em> <em>_1-pre-inj or _1-inj_1</em> suffix)</li> <li>These positions were imaged again after injection (suffix <em>_postInjection,</em> <em>_2-post-inj </em>or <em>_1-inj_2</em>) and before the magnet was added (suffix <em>_beforeexp</em> or <em>_before-attr</em>)</li> <li>They were imaged again with the magnet added (suffix <em>_attraction1</em>). If acquisition was stopped and restarted an extra folder is created (suffix <em>_attraction2</em>)</li> <li>They were then imaged after the magnet was removed (suffix <em>_release1</em>)</li> <li>Finally, the cells were monitored after the experiment (suffix <em>_after-exp</em> or <em>_postexp</em>)</li> </ul> </li> <li>A text file named <em>lab_journal_[...].txt</em> contains extra information the acquisition and experimental procedure</li> <li>Note: the MicroManager metadata in the TIFF file are fully populated</li> </ul> <p> </p> <p><strong>Overview of the concatenated datasets (Zenodo 11-12)</strong></p> <p>In these Zenodo repository, each position (acquired in different folders), is concatenated into a single TIFF movie using code available in the <a href="https://github.com/CoulonLab/chromag-pipeline">ChroMag-pipeline</a> repository. The folder contains:</p> <ul> <li>One TIFF file per selected position</li> <li>One .xls file per selected position, with one line per frame, and columns with the following information: <ul> <li><strong>path</strong> (Relative path): Reference to the original (raw MicroManager) file</li> <li><strong>start_time</strong> (Timestamp): Timestamp saved by MicroManager when the acquisition was started (the «acquire » button was pressed).</li> <li><strong>time_in_file</strong> (seconds): Number of seconds between start_time and the acquisition of the current timepoint</li> <li><strong>start_time_s</strong> (seconds): Variable start_time converted to a number of seconds</li> <li><strong>time</strong> (seconds): Sum of start_time and time_in_file</li> <li><strong>timestamp</strong> (Timestamp): Variable time, back-converted to a timestamp</li> <li><strong>timeOn</strong> (Timestamp): Time(s) when the magnet was added. This timestamp is provided in the datasets.cfg file in the github repository chromag-pipeline</li> <li><strong>timeOff</strong> (Timestamp): Time(s) when the magnet was removed. This timestamp is provided in the datasets.cfg file in the github repository chromag-pipeline</li> <li><strong>forceActivated</strong> (Boolean): If the magnet is present during the current frame (calculated from timeOn and timeOff)</li> <li><strong>seconds_since_first_magnet_ON</strong> (seconds): Number of (relative) seconds since the magnet was added for the first time.</li> <li><strong>Frame</strong> (Integer) Frame number (1-indexed)</li> <li><strong>Positions</strong> (Integer): The position number</li> </ul> </li> </ul> <p> </p> <p><strong>Processed datasets (Zenodo 13) and calibration datasets (Zenodo 14-16)</strong></p> <p>These datasets and their analysis are fully described in the <em>Materials and Methods</em> section of the article and in the different README.md files within the various folders of the datasets.</p>
Code and source data for the paper: Global warming leads to larger bats with a faster life history pace in the long-lived Bechstein's bat (Myotis bechsteinii)
<p>Contains two R scripts necessary to perfom the analysis for the paper "Global warming leads to a faster life history pace in the long-lived Bechstein’s bat (Myotis bechsteinii)"</p> <ul> <li>1st Script (" Script_analysis paper_bodysize_AFR_fecundity_LRS_GAMs_revised": Descriptive statistics, calculation of all GAMs and code for figure 1, 2 and 3</li> <li>2nd Script (" Script_size specific generation times"): Calculation of reproductive and mortality rates, calculation of generation time and population growth rates (lambda) as well as code for figure 4 and 5</li> </ul> <p>And also .csv files with the data points of all figures.</p>
Risk-taking coping style correlates with SERT SNP290 polymorphisms in free-living great tits
<p>The coping style of an individual in relation to potentially dangerous situations has been suggested to be inherited in a polygenic fashion, being SERT one of the candidate genes. In this paper, we assessed in free-living great tits Parus major the association between SNP290 in the SERT promoter and three standard fear-related behaviors, namely the response of the birds to a black and white flag fixed to the top of the nest-box, distress calling rate of the birds in the hand once captured and the hissing call of incubating females when approached by a predator. We found a strong association between SNP290 polymorphism and the three risk-taking behaviors, with birds with genotype CT entering faster to the nest box with the flag and displaying more distress calls and less hissing calls. CT birds could therefore be described as more proactive than CC individuals. These results also suggest that hissing behavior should be regarded as a fear-induced shy behavior, and confirm that SERT has an important function in relation to risk aversion behaviors and coping style.</p>
dataset for "Long-lived Bell states in an array of optical clock qubits"
<p>Dataset for main figures in "Long-lived Bell states in an array of optical clock qubits".</p>
Data from: Individual heterogeneity in fitness in a long-lived herbivore
<p><span><span><span><span><span><span><span><span><span><span><span>Heterogeneity in the intrinsic quality and nutritional condition of individuals affects reproductive success and consequently fitness. Black brant (<i>Branta bernicla nigricans</i>) are long-lived, migratory, specialist herbivores. Long migratory pathways and short summer breeding seasons constrain the time and energy available for reproduction, thus magnifying life-history trade-offs. These constraints, combined with long lifespans and trade-offs between current and future reproductive value, provide a model system to examine the role of individual heterogeneity in driving life-history strategies and individual heterogeneity in fitness. We used hierarchical Bayesian models to examine reproductive trade-offs, modeling the relationships between within-year measures of reproductive energy allocation and among-year demographic rates of individual females breeding on the Yukon-Kuskokwim Delta, Alaska using capture-recapture and reproductive data from 1988 to 2014. We generally found that annual survival tended to be buffered against variation in reproductive investment, while breeding probability varied considerably over the range of clutch size-laying date combinations. We provide evidence for relationships between breeding probability and clutch size, breeding probability and nest initiation date, and an interaction between clutch size and initiation date. Average lifetime clutch size also had a weak positive relationship with apparent survival probability. Our results support the use of demographic buffering strategies for black brant. These results also indirectly suggest associations among environmental conditions during growth, fitness, and energy allocation, highlighting the effects of early growth conditions on individual heterogeneity, and subsequently, lifetime reproductive investment.</span></span></span></span></span></span></span></span></span></span></span></p>
Latitudinal resource gradient shapes multi-variate defense strategies in a long-lived shrub
<p>Herein lies the data and R code for the analyses for the manuscript titled, "Latitudinal resource gradient shapes multi-variate defense strategies in a long-lived shrub", published in <em>Ecology.</em></p>
Aggregated Network and Application Twitch.tv Live Streaming Dataset
<p>This dataset contains application and network measurements of 6,982 individual Twitch.tv streaming sessions of 222 different streamers summing up to more than 1,000h live streaming. The data are aggregated to uplink requests.</p>
Live-cell imaging of LLC-PK1 cells microtubule dynamics
<p>Stable LLC-PK1 cell line (ATCC:CL-101) was generated and provided by Michael W. Davidson [1,2]. Using a Zeiss Celldiscoverer 7 microscope with a 100X/1.47 NA oil-immersion objective (Plan-Apochromat, Zeiss) and a sCMOS sensor (Hamamatsu, ORCA-Fusion, C15440-20UP), cultured LLC-PK1 cells expressing mEmerald-EB3 were imaged with a 43 nm pixel size. Exposure time was 100 ms, with each frame being captured every two seconds. During acquisition, temperature and CO2 control was set to 37°C and 5%, respectively. mEmerald-EB3 was excited using a 488 nm laser at 1% power, with a FITC filter for fluorescence collection. Acquisition software ZEN 3.2 (blue edition) was used for the imaging protocol.</p> <p>1. Rizzo, M. A., Davidson, M. W., & Piston, D. W. (2009). Fluorescent protein tracking and detection: fluorescent protein structure and color variants. Cold Spring Harbor Protocols, 2009(12), pdb-top63.</p> <p>2. Huang, F., Hartwich, T., Rivera-Molina, F. et al. Video-rate nanoscopy using sCMOS camera–specific single-molecule localization algorithms. Nat Methods 10, 653–658 (2013).</p>
Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river
<p>The matlab data consists of 14 model runs (lab numbers in filenames), each for two timesteps in separate files, namely one for low river flow (ecological timestep 12, which is in month 6) and one for high river flow (ecological timestep 24, which is in month 12). The hydromorphological model is Delf3D, which is coupled to a riparian vegetation model 24 times per year for 150 years (some for 300 years). Each matlab file contains all variables stored by Delft3D and by the vegetation model. The most relevant variables are three-dimensional matrices containing the yearly maps. The various model runs are permutations on only sand, including mud (at various concentrations and erosion thresholds) and/or riparian vegetation.</p> <table> <caption>Table: Model runs with lab number, number in the publication, and keyworks describing the model</caption> <thead> <tr> <th scope="col">lab run number</th> <th scope="col">run number in Kleinhans et al. 2018</th> <th scope="col">properties</th> </tr> </thead> <tbody> <tr> <td>153</td> <td>4</td> <td>only sand</td> </tr> <tr> <td>149</td> <td>3</td> <td>mud added default concentration default erosion threshold</td> </tr> <tr> <td>131</td> <td>2</td> <td>vegetation added</td> </tr> <tr> <td>132</td> <td>1</td> <td>mud and vegetation</td> </tr> <tr> <td>139</td> <td>5</td> <td>5 mg/L mud</td> </tr> <tr> <td>140</td> <td>6</td> <td>50 mg/L</td> </tr> <tr> <td>141</td> <td>7</td> <td>100 mg/L</td> </tr> <tr> <td>162</td> <td>8</td> <td>500 mg/L</td> </tr> <tr> <td>144</td> <td>9</td> <td>0.1 N/m2 critical shear stress</td> </tr> <tr> <td>145</td> <td>10</td> <td>0.5 N/m2</td> </tr> <tr> <td>161</td> <td>12</td> <td>500 mg/L 0.5 N/m2 vegetation</td> </tr> <tr> <td>160</td> <td>14</td> <td>500 mg/L 0.5 N/m2</td> </tr> <tr> <td>158</td> <td>13</td> <td>800 mg/L 0.5 N/m2 vegetation</td> </tr> <tr> <td>159</td> <td>11</td> <td>100 mg/L 0.5 N/m2 vegetation</td> </tr> </tbody> </table> <p>The open access paper describing the data and its method of production is:<br> Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river</p> <p>Maarten G. Kleinhans, Bente de Vries, Lisanne Braat, Mijke van Oorschot<br> Earth Surf. Process. Landforms 43(14), 2018<br> <a href="https://doi.org/10.1002/esp.4437">https://doi.org/10.1002/esp.4437</a></p> <p>The modelling was conducted by Bente de Vries under supervision of Maarten Kleinhans as part of her MSc thesis research, which was embedded in the ERC Consolidator project of Kleinhans.</p>
Assortative mating by telomere length under different environmental conditions in the brown booby, a long-lived seabird
<p class="NoteLevel11"><span>Life-history strategies covary with a suite of behavioral and physiological responses along a slow-fast continuum, known as pace-of-life-syndrome. Particularly in long-lived species, pace-of-life is expected to influence breeding strategies, making it a potentially important factor in mate choice. It has been proposed that telomere length (TL) may integrate individual physiological components and survival prospects that underlie individual differences in pace-of-life. In the brown booby (Sula leucogaster), a long-lived seabird, we investigated whether TL may indicate individual pace-of-life by examining how it relates to mitochondrial DNA copy number (mtDNAcn), corticosterone (cort) levels, and skin coloration—a condition-dependent sexual trait. Then, we tested whether there is assortative mating by TL, and whether the degree of TL similarity between partners influences an individual's likelihood of changing mates and physiological state (mtDNAcn and cort levels). Because environmental conditions may have important effects on the individual pace-of-life, the study was performed in two colonies with contrasting breeding conditions. We found that TL was positively related to mtDNAcn (but not cort levels), suggesting that individuals with shorter telomeres have reduced mitochondrial activity and aerobic capacity. TL was reflected in sexual coloration, but only in the colony with good breeding conditions. There was positive assortative mating by TL, however the degree of assortative mating was unrelated to mtDNAcn, cort levels and the probability of mate change, which greatly varied between the two colonies. Our results suggest that TL </span><span>might be an indicator of the individual pace-of-life and may influence mating patterns. </span><span>Importantly, contrasting environmental conditions </span><span>influenced the link between TL and sexual coloration and the propensity of individuals to change mate, highlighting the importance of environmental variation on breeding strategies.</span><span> </span></p>
Large flowers can be short-lived: Insights from a high Andean cactus
<p>Long-lived and large flowers signify high floral maintenance costs. Species of arid/semiarid climates with large flowers are expected to have short flower lifespans and pollination-induced flower longevity in order to curb high floral water and other maintenance costs. We explored the context-dependent large flower/short flower longevity hypothesis in <em>Eriosyce curvispina</em> (Cactaceae), a large-flowered species of the semi-arid central Chilean Andes. We determined breeding system, flower visitation rates, and open-pollination fruit set and quantified floral water content. In a temperature-controlled field manipulative experiment, we measured potential flower longevity and tested for the presence of pollination-induced floral senescence. We measured the timespan of the complete flower cycle defined as from when the flowers began to open to when they were totally closed, and the timespan of fully open flowers defined as from when they were totally open until they began to close. The potential flower lifespan averaged 2.8 days (complete flower cycle) to 2.3 days (fully open flower). The complete flower cycle lasted 21.5 hrs, but flowers were fully open for only 10.1 hrs across days. Flower longevity in days was far shorter than reported for a large sample of species in the area. No evidence was found for pollination-induced flower senescence as a complementary means for reducing floral maintenance costs. <em>Eriosyce curvispina</em> is self-incompatible and abundantly pollinated by two megachilid bees. The level of pollen limitation (<em>L</em>=0.36) was lower than the average reported for self-incompatible angiosperms. Thus, the short flower lifespan in <em>E. curvispina</em> is not an impediment to high fruit set. Flowers contain >5 g of water of which >2 g resides in >40 petaloid tepals. The amount of water is far higher than in another large-flowered, non-cactus species in the area, but only about 15% of that reported in the giant sahuaro cactus, which has larger flowers than <em>E. curvispina</em>.</p>
A method to evaluate body length of live aquatic vertebrates using digital images
<p>Traditional methods to measure body lengths of aquatic vertebrates rely on anesthetics, and extended handling times. These procedures can increase stress, potentially affecting the animal's welfare after its release. We developed a simple procedure using digital images to estimate body lengths of coastal cutthroat trout (<i>Oncorhynchus clarkii clarkii</i>) and larval coastal giant salamander (<i>Dicamptodon tenebrosus</i>). Images were post-processed using ImageJ2. We measured more than 1,800 individuals of these two species from 200 pool habitats along 9.6 river kilometers. The percent error (mean ± SE) of our approach compared to the use of a traditional graded measuring board was relatively small for all metrics of the two species. Total length of trout was -2.2% ± 1.0. Snout-vent length and total length of larval salamanders was 3.5% ± 3.3 and -0.6% ± 1.7, respectively. We cross-validated our results by two independent observers that followed our protocol to measure the same animals and found no significant differences (<i>p</i> > 0.7) in body size distributions for all metrics of the two species. Our procedure provides reliable information of body size reducing stress and handling time in the field. The method is transferable across taxa and the inclusion of multiple animals per image increases sampling efficiency with stored images that can be reviewed multiple times. This practical tool can improve data collection of animal size over large sampling efforts and broad spatiotemporal contexts.</p>
Zircon dates long-lived plume dynamics in oceanic islands
<p><strong>Here we present a new data set from ten islands of the hot-spot related Galapagos Archipelago. That includes zircon U-Pb geochronology and δ18O - εHf(t) isotope geochemistry and whole rock geochemistry. The methodology includes different analytical technics like SHRIMP II, LA-MC-ICPMS, ICP, and XRD.</strong></p> <p><strong>This repository contains the following files:</strong></p> <p><strong>Table S1. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Hong Kong University.</p> <p><strong>Table S2. </strong>LA-MC-ICPMS Lu-Hf isotope data of Galápagos zircons measured at Frankfurt University.</p> <p><strong>Table S3.</strong> Major and trace element concentrations for Galápagos samples.</p> <p><strong>Table S4. </strong>Oxygen isotope ratios for Galápagos zircons.</p> <p><strong>Table S5. </strong>Thermo-mechanical properties of the rock phase.</p> <p><strong>Table S6.</strong> List of the numerical experiments.</p> <p><strong>Table S7:</strong> List of the experiments used to calibrate the permeable boundary condition.</p> <p><strong>Table S8.</strong> (A) Hf Isotope Ratios in Galapagos Lavas (After (Blichert-Toft & White, 2001). (B) Oxygen isotopic ratios of plagioclase separates from Galapagos lavas and xenoliths (Geist et al., 1998). (C) Oxygen isotope compositions of olivine grains from subaerial lavas (Peterson et al., 2019). (D) Hf Isotope Compositions (±2s) of Submarine Ridges in the Panama Basin and of CLIP (Caribbean Large Igneous Province) rocks (Geldmacher et al., 2003).</p> <p>Movie S1</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Internet of Things - transforming businesses, people's lives and driving growth in the coming years
<p><b>Abstract</b></p><p class="dhik-abstract-content">IoT is the biggest computer revolution and will transform businesses, people's lives and drive growth in the coming years. We discuss novel IoT systems, technologies, and future trends to increase productivity, efficiency and quality in manufacturing, smart buildings, energy and wireless industries.</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li><b>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (<a href="#collapseTwo">Video</a>)</b></li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Figure 1. Evidence found under a in A short-lived mantispid in an Asemonea nest: parasitoid and prey?
Figure 1. Evidence found under a leaf on the Indraprastha Organic Farm of the senior author (Abhijith) at Mysuru, Karnataka, India (16 JUL 2022). 1, Recently-fed female Asemonea tenuipes. 2, Mantispid cocoon and exuvium. 3, Fragment of mantispid. 4-6, Relative positions of spider, cocoon, and mantispid. 7, Earlier (20 AUG 2019) photograph of an adult mantispid that emerged from the nest of a different A. tenuipes, at the same locality (Abhijith & Hill 2019).
Figures 13-15. Live Phidippus pacosauritus, ventral view. Figure 13. Male. Figures 14-15 in Description of Phidippus pacosauritus sp. nov. (Salticidae: Salticinae: Dendryphantini: Dendryphantina), with a reanalysis of related species in the mystaceus group
Figures 13-15. Live Phidippus pacosauritus, ventral view. Figure 13. Male. Figures 14-15. Female variations. Photo credits: David Hill.
Figure 2. Nine different living adult male Maratus aquilus. 2 in Courtship display of the peacock spider Maratus aquilus (Araneae: Salticidae: Euophryini)
Figure 2. Nine different living adult male Maratus aquilus. 2, The posterior part of the fan can be elevated when the fan is partly elevated as shown here. This makes the iridescent green posterodorsal ornament of the fan (Figure 3:11) visible from the front.
Figure 3 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure 3. Activity patterns density curve along the three localities. Guanentá in dark gray, Las Moyas in light gray and La Chacua in gray.
Figure 1 in Living in a cold tropical mountain: do the microhabitat use and activity pattern change with elevation in the high-Andean lizard Stenocercus trachycephalus (Squamata: Tropiduridae)?
Figure 1. Study locations in the Andes eastern mountain range. (A) Guanentá, 3,750-3,950 m; (B) Las Moyas Páramo, 3,200 m; (C) La Chacua, 2,670 m.
Recent HIV infections among newly diagnosed individuals living with HIV in rural Lesotho: Secondary data from the VIBRA cluster-randomized trial
<p>These are pseudo-anonymised data from a secondary analysis of the VIBRA randomised trial.</p> <p>HIV recency assays are used to distinguish recently acquired infection from long-term infection among individuals newly diagnosed with HIV. Since 2015, the World Health Organisation recommends the use of an algorithm to assess recency of infections which is based on an HIV recency assay and viral load (VL) quantification. We determined the proportion of recent HIV infections among participants of the VIBRA (Village-Based Refill of Antiretroviral therapy) cluster-randomized trial in Lesotho and assessed risk factors for these recent infections.</p> <p>The VIBRA trial recruited individuals living with HIV and not taking antiretroviral therapy during a door-to-door HIV testing campaign in two rural districts (Butha-Buthe and Mokhotlong). Samples were collected from participants newly diagnosed and tested for HIV recency using the Asanté HIV-1 Rapid Recency Assay and VL using the Roche Cobas System. Clinical and socio-demographic data were extracted from the trial database. Univariate analysis was conducted to determine factors associated with recent compared to long-term infection.</p> <p>There is one dataset containing all data presented in this dtuy. The data codebook explains the data available in the dataset.</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.