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1,079 results for “source data”
Job offers of remote and data-science related positions - Source: Remotive.com
<p>Most relevant job offers published in the categories of software development, data and sysadming and devops of the web Remotive.com</p>
Waveform data for centroid moment tensor solutions presented in publication "Bayesian seismic source inversion with a 3-D Earth model of the Japanese islands"
<p>This dataset contains waveform data for centroid moment tensor solutions inferred using Hamiltonian Monte Carlo sampling algorithm and a 3-D Earth model of the Japanese islands. Specifically, it includes processed observed waveforms from the Full Range Seismograph Network of Japan (F-Net, http://www.fnet.bosai.go.jp) and synthetic waveforms for the maximum-likelihood solutions as well as Global Centroid Moment Tensor (GCMT) solutions for all study events inverted at different periods. Detailed description of the dataset is included in the README file. </p>
A New Open-source Geomagnetosphere Propagation Tool (OTSO) and its Applications - Data
<p>Data files for the computations done with OTSO for the asymptotic cones and effective cut-off rigidities for several neutron monitor stations during three ground-level enhancement events (GLE 66, 70, 71). The computations for GLE 66 and 71 were done using three external geomagnetic field models (TSY89, TSY96, TSY01). Data for the global map of effective cut-off rigidities during GLE70 is also included. Data is in CSV format.</p>
Data sources for the manuscript on groundwater stress indicators published in Water Resources Research
<p>We computed seven global-scale groundwater stress indicators at the 0.5° grid-cell level and for transboundary aquifers> 20,000 km². All indicators were calculated for current conditions (1981-2010 or 2001-2010) based on a homogenized version of the concatenated WATCH Forcing Data ERA-40 (WFD) and WFD ERA-Interim data sets (WFDEI). In addition, four of the indicators were computed for the 2050s (2041-2070) under the worst-case greenhouse gas emissions scenario RCP8.5 applying ten climate and irrigation scenarios. The scenarios were derived by combining two irrigation scenarios (“AAI constant” and “AAI LandSHIFT”) with model output from the five global climate models GFDL-ESM2M, HadGEM2 -ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M.</p> <p>Here, we provide the WaterGAP model output used to compute the groundwater stress indicators. A description of the indicators and the underlying data can be found in the reference below. Moreover, a table with coordinates and grid-cell area [km²] used in WaterGAP is provided for the conversion of units.</p> <p>The model output comprises:</p> <p>1. Monthly groundwater recharge (GWR and GWRswb) 1981-2010 and 2041-2070 [mm/month, km³/month]</p> <p>2. Monthly groundwater withdrawals (WWg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>3. Monthly net abstractions from groundwater (NAg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>4. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run with human water use (transWU) [mm/month]</p> <p>5. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run without human water use (NAT) [mm/month]</p> <p>6. Monthly groundwater storage 2001-2010 from a model run with human water use (transWU) [mm]</p> <p>7. Monthly groundwater storage 2001-2010 from a model run without human water use (NAT) [mm]</p>
Data publication for "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings"
<p><strong>Summary</strong></p> <p>This data publication supplements the manuscript "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings" [1] with tabulated data. Furthermore, the provided Matlab and Python scrips allow to reproduce the data and can serve as a starting point for further investigations. They include a multi-objective optimization scheme, a robustness analysis with further optimizations focused on robustness and an investigation of the electrical properties. The following sections explain the contents of each directory and discuss dependencies on third-party software. For a detailed descriptions of the methods and the optimization and analysis pipeline we refer to the related paper [1].</p> <p><strong>Tabulated data</strong></p> <p>The contained text files refer to figures in the manuscript [1] as indicated by their names. Additional information is given in the headers.</p> <p><strong>Optimization</strong></p> <p>The optimization has been carried out with Matlab scripts (tested with version r2019b) which rely on the commercial FEM solver JCMsuite [2] (for a free trial licenses please refer to the homepage of <a href="http://jcmwave.com">JCMwave</a>). In order to run any of the supplied scripts you must edit the path to the installation directory of JCMsuite (5.2.1).</p> <p>The subdirectories <code>JCMsuite</code> and <code>Matlab</code> contain input files for JCMsuite and function definitions along with a recent version of RPExpand [3], respectively. Rerunning the scripts <code>optimization.m</code>, contained in each of the subdirectories <code>NIR</code>, <code>CBand</code> and <code>OBand</code>, will open the dashboard of the optimizer, which provides visualizations of the optimization progress. The target function is defined in <code>Matlab/coupling.m</code>.</p> <p>Wavelength scans of Purcell enhancement, coupling efficiency to a single mode fiber and collection efficiency into a numerical aperture of NA=0.8 have been carried out using interpolation based on modal expansions with RPExpand.</p> <p><strong>Robustness analysis</strong></p> <p>Along with the Python scripts used to run the robustness analysis and further optimizations, a visualization of all results have been added (e.g. <code>final_results/C_Band/robust_opt/figure_purcell_max.pdf</code>), which add to the results presented in figure 2 of the manuscript [1].</p> <p><strong>Electrical properties</strong></p> <p>The script <code>elCBG_capacitor_cylindrical_10_Rings_Ubias_sweep.py</code> is based on <a href="https://devsim.org/index.html">DEVSIM</a> [4]. Version 1.6.0 has been used to generate the original data, but for this data publication, it has been adapted to run with a current version. You can install the required packages, e.g., with Miniconda (22.11.1) running</p> <pre><code>conda install mkl sqlite zlib pip install numpy pandas devsim</code></pre> <p><strong>Bibliography</strong></p> <p>[1] Lucas Rickert, Fridtjof Betz, Matthias Plock, Sven Burger and Tobias Heindel: High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings (2022), http://arxiv.org/abs/2212.04883</p> <p>[2] https://jcmwave.com</p> <p>[3] Fridtjof Betz, Felix Binkowski, Sven Burger, RPExpand: Software for Riesz projection expansion of resonance phenomena, SoftwareX 15, 100763 (2021), https://doi.org/10.1016/j.softx.2021.100763</p> <p>[4] https://devsim.org/index.html</p>
Quantification of Error Sources with Inertial Measurement Units in Sports - Data and Matlab Scripts
<p>Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filer. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to quantify each of the sources of error of an IMU separately. An optoelectronic system was used as a golden standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different trials, varying both in type of movement and in movement intensity. The error of the definition of the body frames (10.9-18.1 deg RMSD), the STA (3.6-9.4 deg RMSD) and the error of the orientation filter (2.8- 13.1 deg RMSD) were all quantified separately. The data and code to process the data can be found in this publication.</p> <p> </p>
Source data for - Bidirectional alterations in brain temperature profoundly modulate spatiotemporal neurovascular responses in-vivo: Implications for theragnostics
<p>Neurovascular coupling (NVC) is a mechanism that, amongst other known and latent critical functions, ensures activated brain regions are adequately supplied with oxygen and glucose. This biological phenomenon underpins non-invasive perfusion-related neuroimaging techniques, and recent reports have implicated NVC impairment in several neurodegenerative disorders. Yet, much remains unknown regarding NVC in health and disease, and only recently has there been burgeoning recognition of a close interplay with brain thermodynamics. Accordingly, we developed a novel multi-modal approach to systematically modulate cortical temperature and interrogate the spatiotemporal dynamics of sensory-evoked NVC. We show that changes in cortical temperature profoundly and intricately modulate NVC, with low temperatures associated with diminished oxygen delivery, and high temperatures inducing a distinct vascular oscillation. These observations provide novel insights into the relationship between NVC and brain thermodynamics, with important implications for brain-temperature-related therapies, functional biomarkers of elevated brain temperature, and in-vivo methods to study neurovascular coupling.</p>
Dynamic antagonism between key repressive pathways maintains the placental epigenome (source data and custom code)
<p>DNA and Histone-3 Lysine 27 methylation typically function as repressive modifications and operate within distinct genomic compartments. In mammals, the majority of the genome is kept in a DNA methylated state, whereas the Polycomb Repressive Complexes regulate the CpG-rich promoters of developmental genes. In contrast to this general framework, the extraembryonic lineages display noncanonical, globally intermediate DNA methylation levels that includes disruption of local Polycomb domains. To better understand this unusual landscape’s molecular properties, we genetically and chemically perturbed major epigenetic pathways in mouse Trophoblast Stem Cells (TSCs). We find that the extraembryonic epigenome reflects ongoing and dynamic de novo methyltransferase recruitment, which is continuously antagonized by Polycomb to maintain intermediate, locally disordered methylation. Despite its disorganized appearance, our data point to a highly controlled equilibrium between counteracting repressors within extraembryonic cells, one that can seemingly persist indefinitely without bistable features typically seen for embryonic forms of epigenetic regulation.</p> <p> </p>
Source Data for: Temperature, species identity and morphological traits predict carbonate excretion and mineralogy in tropical reef fishes
<p>Source Data underlying figures of the paper "Temperature, species identity and morphological traits predict carbonate excretion and mineralogy in tropical reef fishes" by Mattia Ghilardi, Michael A. Salter, Valeriano Parravicini, Sebastian C. A. Ferse, Tim Rixen, Christian Wild, Matthias Birkicht, Chris T. Perry, Alex Berry, Rod W. Wilson, David Mouillot, Sonia Bejarano</p>
Late summer transition from a free-tropospheric to boundary layer source of Aitken mode aerosol in the high Arctic, model data
<p>This dataset contains model output that was used in the publication "Late summer transition from a free-tropospheric to boundary layer source of Aitken mode aerosol in the high Arctic" (Price et al., 2022, in prep).</p> <p> </p> <p>The output is from the UK Earth System Model run in atmosphere-only configuration at N96 resolution. Output is between September 2016 - December 2018 and is given variously as 3D monthly means, surface 3-hourly means, and 3D 2-hourly instantaneous values, depending on the variable in question.</p>
Photon bound state dynamics from a single artificial atom: Source Data
<p>Source Data for figures in main manuscript of <strong>Tomm, N., Mahmoodian, S., et al., <em>Photon bound state dynamics from a single artificial atom</em></strong>.</p>
Data for: The source of microbial transmission influences niche colonization and microbiome development
<p><span>Early life microbial colonizers shape and support the immature vertebrate immune system. Microbial colonization relies on the vertical route via parental provisioning and the horizontal route via environmental contribution. Vertical transmission is mostly a maternal trait making it hard to determine the source of microbial colonization in order to gain insight in the establishment of the microbial community during crucial development stages. The evolution of unique male pregnancy in pipefishes and seahorses enables the disentanglement of both horizontal and vertical transmission, but also facilitates the differentiation of maternal vs. paternal provisioning ranging from egg development, to male pregnancy and early juvenile development. Using 16s rRNA amplicon sequencing and source-tracker analyses, we revealed how the distinct origins of transmission (maternal, paternal & horizontal) shaped the juvenile internal and external microbiome establishment in the broad-nosed pipefish <em>Syngnathus typhle</em>. Paternal provisioning mainly shaped the juvenile external microbiome, whereas maternal microbes were the main source of the internal juvenile microbiome, later developing into the gut microbiome. This suggests that stability of niche microbiomes may vary </span><span>depending on the route and time point of colonization, the strength of environmental influences (i.e., horizontal transmission), and potentially the homeostatic function of the niche microbiome.</span></p>
Source data file for "Vibrational signature of hydrated protons confined in MXene interlayers"
<p>Source data file for the manuscript entitled: "Vibrational signature of hydrated protons confined in MXene interlayers"</p>
Data sources and code for: "Species-specific acclimation capacity of key traits explains global vertical distributions of seagrass species"
<p>Minguito-Frutos_etal_2023_Data1.xlsx contains the data for analyzing the relationship between plant size and seagrass growth reproductive strategy and the species-specific vertical distribution of seagrasses. </p> <p>Minguito-Frutos_etal_2023_Data2.xlsx contains the data for the meta-analityc approach studying the relationship between the vertical distribution of seagrass species and the plasticity of their traits (physiological, morphological, structural and growth). </p> <p>Scripts_Minguito_Frutos_etal_2023_GEB_Ref.GEB-2022-0592.R contains the R reproducible code to run all the analyses carried out in this study. </p>
Source Data: No evidence for a common blood microbiome based on a population study of 9,770 healthy humans
<p>Source data for manuscript titled: 'No evidence for a common blood microbiome based on a population study of 9,770 healthy humans' (https://www.biorxiv.org/content/10.1101/2022.07.29.502098v1)</p>
Supplementary Data for "Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms"
<p>These are supplementary data for the paper "Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms". They are:</p> <p>- Python code to construct a neural network model</p> <p>- Saved optimal models (for 8-fold validation)</p> <p>- Selected y-label data (solar wind speed) and corresponding dates, which we eliminate the data identified as ICME</p>
Engineering cellular communication between light-activated synthetic cells and bacteria (Source data)
<p>Source data files for supplementary figures for published version of "Engineering cellular communication between light-activated synthetic cells and bacteria" https://www.biorxiv.org/content/10.1101/2022.07.22.500923v1</p>
Over and Under Sampled Data-sets of Code Issues in Java Open-Source Projects
<p>The dataset comprises code changes made to 15 Java Open-Source projects, classified with sentiment values (0 for negative and 1 for positive) based on developer reviews during various revision submissions. The dataset is available in 8 versions, each containing a sampled dataset using an over or under-sampling technique.</p>
ODNA Data and Analysis Source Code
<p>This upload contains the analysis source code and processed data for developing the software ODNA, including the machine learning pipeline. ODNA is software for identifying organellar DNA sequences from genome assemblies using genome annotation derived from the Modular Open-Source Genome Annotator (MOSGA).</p>
Anxa1-iCre and Aldh1a1-iCre Raw Image Source Data for Azcorra, Gaertner et al
<p>Raw, unprocessed microscopy image data in multichannel tif format for IF images from Anxa1-iCre and Aldh1a1-iCre validation, localization, and projection mapping experiments. Image files are names according to the figure and panel which they apply to.</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.