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410 results for “Data Repositories”
Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
<p>This repository contains model-based scenario results of a study on substituting ruminant meat with microbial protein in human diets by 2050. The scenario data has been generated with the global multi-regional open-source land-use modelling framework MAgPIE 4.3.4:<br> https://github.com/magpiemodel/magpie/releases/tag/v4.3.4<br> https://zenodo.org/record/4730378</p>
Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan
<p>The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> < .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> < .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.</p>
Data repository for "Climate change increases the severity and duration of soil water stress in the temperate forest of eastern North America"
<p>Dataset provided for publication in Frontiers in Forests and Global Change : "Climate change increases the severity and duration of soil water stress in the temperate forest of eastern North America".</p>
TRINITY open access data repository data set 2 by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
TRINITY open access data repository by Budapest University of Technology and Economics
<p>Horizon 2020 programme supports access to and reuse of research data generated by Horizon 2020 projects through the Open Research Data Pilot (ORDP). To support the validation of scientific results, the pilot focuses on providing access to data needed to validate the scientific results. There are several types of such data, e.g. machine learning data sets, models, measurements, statistical results of experiments, survey outcomes, etc.</p> <p>This deliverable summarizes the data that are expected to be collected in the course of the project and where and how they are stored. The aspect of providing open access to research data (as required by the European Commission’s Open Research Data Pilot, <a href="https://www.openaire.eu/what-is-the-open-research-data-pilot">https://www.openaire.eu/what-is-the-open-research-data-pilot</a>) is addressed in Section 3. Finally, in Section 4 we describe the data sets that were or are expected to be generated within the TRINITY projects and made freely available.</p>
Open data repository, An et al., Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images
<p>Open data repository of journal article "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images" by Jeehye An <em>et al. </em>At time of publication of this dataset, the manuscript is still under revision.</p> <p>This dataset contains mouse T2 weighted MRI data, and manually and automated segmented ischemic stroke lesion masks for developing and evaluating a deep learning-based automated lesion segmentation. All files are in NIFTI format.<br> </p>
Tracking magma spine extrusion from space: Implications for conduit and topography complexity at Shiveluch volcano, Kamchatka - Webcam data repository
<p>Webcam data showing the growth of a spine at Shieveluch volcano.</p> <p>The data is provided in three formats.</p> <p>First the original images with clear visibility are provided.</p> <p>Second a time lapse movie is provided with images co-aligned to reduce shaking of the camera.</p> <p>Third, a zoom in of the time lapse movie is provided.</p> <p>For more information we refer to the publication with the title "Tracking magma spine extrusion from space: Implications for conduit and topography complexity at Shiveluch volcano, Kamchatka" published in Nature Communications E Env</p>
Code and data repository for the role of topography, geotechnical layering, and attenuation on ground motion prediction
<p>Data and scripts to reproduce research on the influence of topography, geotechnical layer, and attenuation on ground motion prediction in Salton Trough.</p>
Study of Ibero-American Research Data Repositories Guidelines
<p>This dataset is derived from a master's research focused on the study of guidelines from research data repositories in Ibero America that adopt self-archiving, specifically the atribuition of keywords.</p>
Data Repository for Peatland Organic Matter Quality Varies with Latitude as Confirmed from FTIR and Ramped Pyrolysis Oxidation
<p><strong>Data information:</strong></p> <p>This is the dataset for a study by Sparrow et al. comparing the organic matter quality of peat cores in four climates (tropical, subtropical, boreal, and polar) using multiple analytical approaches. Data for 16 samples (samples from 4 depths in each of the 4 cores) are presented in the study and all relevant and necessary data are published in this repository:</p> <ul> <li>14C content and d13C results for 1) bulk and 2) ramped pyrolysis oxidation splits and standard materials</li> <li>Elemental analysis results (%C, %N, C:N)</li> <li>FTIR spectra from 650-4000 cm-1</li> <li>Ramped pyrolysis oxidation run data (time, sample oven temperature, baseline-corrected CO2 concentration)</li> </ul> <p><strong>Sample information:</strong></p> <ul> <li>The Tropical peat samples were collected from a core obtained in November 2011, “MDM11-2A,” (4.3727°N, 114.3550°E) in the Ulu Mendaram Conservation Area in the Belait District of Brunei Darussalem, northwest Borneo.</li> <li>The Subtropical peat samples were collected from the “Lox3” core (26.597°N, 80.357°W) in October 2015 from the Loxahatchee National Wildlife Refuge, Florida.</li> <li>The Boreal peat samples were collected from the “T3F” core (47.5063°N, 93.4527°W) from S1 Bog in July 2012 from the Marcell Experimental Forest, near Grand Rapids, Minnesota.</li> <li>The Polar peat samples were collected from the “CPP” core (68.3531°N, 19.0473°E) in June 2012 from Stordalen Mire, a peat plateau underlain by discontinuous permafrost near Abisko, Sweden.</li> </ul>
Data accompanying the GitHub repository bartonlab/paper-covariance-estimation
<p>This dataset contains data from simulations and analysis of Wright-Fisher evolution that accompany the GitHub repository bartonlab/paper-covariance-estimation. The GitHub repository contains code and data for reproducing results described in the manuscript "Estimating genetic linkage and selection from allele frequency trajectories." See the GitHub repository for details on the interpretation and analysis of this data.</p>
Data repository for "The Holocene temperature conundrum answered by mollusk records from East Asia"
<p>This repository includes the data that can be used to reproduce the figures for the paper entitled "The Holocene temperature conundrum answered by the mollusk records from East Asia".</p>
Moment vs Angle Data and Code Repository
<p>Included in this archive is the data and code that went into producing moment vs angle plots as part of Kyle Marquis' 2021 Master's Thesis at the University of Colorado Boulder, titled "A Novel Deployable Radiator Architecture for High-Power Spacecraft Missions by Connecting Tapered and Layered Panels with Thin Kinked Tubes".</p> <p>Thin tubes were pressurized and deployed from a kinked state using bending grips in an Instron machine. Matlab codes were used to find the angle over time for the videos, and combine the force and displacement data to solve for bending moment at the kink,</p>
Repository data for Characterisation of deposited dust particles on Mars InSight lander ICC lens
<p>This public data repository contains the images, analyses, results and data outputs for generating the figures of the manuscript titled characterisation of deposited dust particles on Mars InSight lander ICC lens.</p>
Assessing Pairwise Ecological Association Inference using a novel Ecological Network Inference Simulation-Validation Framework - Data Repository
<p>Accompanying data for manuscript entitled "<span>A novel Network Inference Simulation-Validation Framework for Assessment of Ecological Network Inference Performance</span>" whose submission is imminent.</p>
Data Repository for the article: "Control of multi-modal scattering in a microwave frequency comb"
<p><strong>Abstract:</strong></p> <p>Control over the coupling between multiple modes of a frequency comb is an important step toward measurement-based quantum computation with a continuous-variable system.<br>We demonstrate the creation of square-ladder correlation graphs in a microwave comb with 95 modes.<br>The graphs are engineered through precise control of the relative phase of three pumps applied to a Josephson parametric oscillator. <br>Experimental measurement of the mode scattering matrix is in good agreement with theoretical predictions based on a linearized equation of motion of the parametric oscillator. <br>The digital methods used to create and measure the correlations are easily scaled to more modes and more pumps, with the potential to tailor a specific correlation graph topology.</p> <p> </p> <p>Article DOI:</p> <p>ArXiV: <a href="https://doi.org/10.48550/arXiv.2402.09068">arXiv.2402.09068</a></p> <p> </p> <p><strong>Content:</strong></p> <p>This repository contains the datased used in the article "Control of multi-modal scattering in a microwave frequency comb". Scripts to generate the figures are also included.</p>
Repository of camera trap data recorded during three pilot studies of the Amsterdamse Waterleidingduinen
<p>Three camera trap data packages (https://camtrap-dp.tdwg.org/) of data collected as part of pilot studies carried out in the Amsterdamse Waterleidingduinen. The pilots were aimed at determining how different types of camera deployment (e.g. regular vs. wide lens, various heights, inside/outside exclosures) might influence species detections, and how to deploy autonomous wildlife monitoring networks. Two pilots were conducted in herbivore exclosures and mainly detected European rabbits (Oryctolagus cuniculus) and red fox (Vulpes vulpes). The third pilot was conducted outside exclosures, with the European fallow deer (Dama dama) being most prevalent. Across all three pilots, a total of 47,597 images were annotated using the Agouti platform. All annotations were verified and quality-checked by a human expert. A total of 2,779 observations of 20 different species (including humans) were observed using 11 wildlife cameras during 2021–2023. The raw image files (excluding humans), image metadata, deployment metadata and observations from each pilot are shared using the Camtrap DP open standard and the extended data publishing capabilities of GBIF to increase the findability, accessibility, interoperability, and reusability of this data. The data are freely available and can be used for developing artificial intelligence (AI) algorithms that automatically detect and identify species from wildlife camera images.</p> <p><a name="_Hlk161305518"></a>The repository contains a data package in <a href="https://camtrap-dp.tdwg.org/">Camtrap DP format </a> for each of the three pilots. Camtrap DP is an open standard for the exchange and archiving of camera trap data using a standardized data structure. Each data package consists of the following resources:</p> <p>· <strong>datapackage.json:</strong> Contains metadata about the data package and camera trap project from which the data originates. Describes taxonomic, temporal, and spatial extent.</p> <p>· <strong>deployments.csv:</strong> Table of individual camera trap deployments, detailing exact location and times active of each camera deployment.</p> <p>· <strong>media.csv: </strong>Table detailing every image in the data package. Lists the filenames and paths of images within the data package.</p> <p>· <strong>observations.csv:</strong> Table of observations of species (or lack thereof) derived from the images.</p> <p>· <strong>e</strong><strong>vents.csv: </strong>Table linking observation events to media.</p> <p>· <strong>media folder:</strong> Folder containing a subfolder for each deployment, which contains the raw images from that deployment.</p> <p>Some additional notes, specific to these datasets:</p> <p>· The deployment table contains “deployment tags”, which specify extra information about the deployment, formatted as key:value pairs, separated by pipes (‘|’). Of particular interest for these datasets are the tags that state lens angle, specify habitat type and identify paired cameras (e.g. to assess differences in species detections between cameras with regular and wide lens, respectively).</p> <p>· In all three pilots, most observations are linked to sequences of images recorded within 120 seconds of each other. Hence, observations in these datasets are generally linked to an “event” (i.e. a sequence of images) rather than to an individual media file. We have added an events table to more easily link observation events and the media items that make up that event. This is an extension of the camera trap DP standard.</p> <p>· All annotations were verified and checked by a human expert, even in cases where an observation is listed as being made by an AI algorithm.</p> <p>· Whether or not an image is included in the data package is indicated by the ‘filePublic’ column in the media table. All raw images are included except for those where humans were detected. Images in which humans were detected have a ‘filePublic’ value of FALSE. Although the current location of these files within the Agouti platform (<a href="https://www.agouti.eu/">https://www.agouti.eu/</a>) is recorded in the ‘filePath’ column, these files cannot be accessed. The ‘fileName’ of these filles is the original filename they possessed when uploaded to Agouti.</p> <p>· Where ‘filePublic’ is TRUE, the `filePath` given is relative to the root of the data package (e.g. ‘media/<deployment>’) and the `fileName` of the file is the current name of the file within the data package (‘<mediaID>.JPG’). </p> <p>More details about individual metadata fields in the Camtrap DP format can be found on <a href="https://camtrap-dp.tdwg.org/">https://camtrap-dp.tdwg.org/</a>.</p> <p> </p> <p> </p>
FIGURE 115 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 115. Tropidolaemus subannulatus (Puerto Princesa, Palawan Id.) (KU 309565). Photo © RMB.
FIGURE 103 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 103. Laticauda laticaudata. Photo © JT.
FIGURE 84 in Synopsis of the Snakes of the Philippines A Synthesis of Data from Biodiversity Repositories, Field Studies, and the Literature
FIGURE 84. Oxyrhabdium modestum (Agusan del Norte Prov., Mindanao Id.) (KU 334388). Photo © RMB.
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.