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2,373 results for “Platform”
Figure 11 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 11 - Submission of manuscripts to ARPHA Writing Tool through Application Programming Interface (API).
Figure 9 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 9 - The occurrence data from articles published in the Biodiversity Data Journal (in this case from the paper of Johnson 2013) are automatically indexed via Darwin Core Archive in the GBIF Integrated Publishing Toolkit.
Figure 4a from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4a - Interactive mapping of geo-coordinated species occurrences (example from Frolov and Akhmetova 2013).
Figure 13 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 13 - Conversion of Ecological Metadata Language (EML) metadata into data paper manuscripts in ARPHA Writing Tool.
Figure 7 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 7 - Extraction and delivery of data and content from published articles to aggregators, nomenclators, archives, and indexers.
Figure 4d from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4d - All taxon names usages (TNU) in an article are indexed and matched to their type of use (e.g. citations in the text, heading a taxon treatment, associated to images or present in identification keys, example from Brown et al. 2017).
Figure 8 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 8 - Export of data from articles published in Biodiversity Data Journal. Species occurrences and other structured data tables can be downloaded in CSV format (green arrow); all species occurrences are also available as Darwin Core Archives and are automatically harvested and indexed by GBIF (red box and arrow).
Figure 12 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 12 - Creation of data paper manuscripts from Ecological Metadata Language (EML) metadata hosted at the GBIF IPT
Figure 1 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 1 - ARPHA-BioDiv is a set of standards, guidelines, tutorials, tools, workflows, journals and services, designed to facilitate the scholarly publication and dissemination of biodiversity data.
Figure 4c from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4c - Images and pages from historic literature where a taxon name has been mentioned are available from various sources (e.g. Encyclopedia of Life and the Biodiversity Heritage Library via Pensoft Taxon Profile (PTP) (in this case Annoniaceae from Hoekstra et al. 2016).
Figure 4b from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 4b - Pensoft Taxon Profile (PTP) is created in real time by clicking on any taxon name mentioned in an article (in this case Annoniaceae from Hoekstra et al. 2016).
Figure 2 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088
Figure 2 - ARPHA consists of two independent journal publishing workflows: (1) ARPHA-XML, where the manuscript is written and processed via ARPHA Writing Tool and (2) ARPHA-DOC, where the manuscript is submitted and processed as document file(s).
Figure 1 from: Anslan S, Nilsson RH, Wurzbacher C, Baldrian P, Tedersoo L, Bahram M (2018) Great differences in performance and outcome of high-throughput sequencing data analysis platforms for fungal metabarcoding. MycoKeys 39: 29-40. https://doi.org/10.3897/mycokeys.39.28109
Figure 1 - Outline of workflow in different analysis pipelines.
Fig. 6 in Microfacies Analysis And Depositional Environments Of The Tithonian-Valanginian Limestones From Dâmbovicioara Gorges (Cheile Dâmbovicioarei), Getic Carbonate Platform, Romania
Fig. 6 Peritidal limestones from the Dâmbovicioara Gorges.
Figure 2 in The evolutionary trend of platform denticulation in Middle Triassic acuminate Gondolellidae (Conodonta)
Figure 2. Proposed evolutionary lineage of the subfamily Marquezellinae.
RMI Engage & Act Platform Data
<p>RMI's Engage and Act (EnAct) platform data assesses the climate-alignment of the resource plans of electric utilities owned by publicly traded companies in the United States.</p>
A Bibliometric Study on the Filter Bubble Phenomenon in Online Social Media Platforms
Open the record for dataset details and reuse information.
Multimodal Sensor Dataset from a Forest Environment in Adões using a Unitree Go1 Platform equipped with a Robosense BPearl LiDAR
<p><strong>Dataset Description:</strong></p> <p>This dataset was collected using a Unitree Go1 robot equipped with multiple sensors:</p> <ul> <li><strong>LiDAR Data:</strong> Acquired from a Robosense Bpearl.</li> <li><strong>IMU Data:</strong> Available through the <code>/high_state</code> topic published by the Unitree Go1.</li> <li><strong>RGB Images:</strong> Captured using a Realsense D435i camera.</li> </ul> <p>To process this dataset, you will need the <code>Unitree_transformer.py</code> Python script, available at the provided <a href="https://github.com/pedrotomas27/python_executables/tree/252ecf0feb9c3e8652daa2e6def7f4c94667207e">URL</a>, along with the necessary <a href="https://github.com/unitreerobotics/unitree_legged_sdk">Unitree package</a>.</p> <p><strong>Note:</strong> The transform for the LiDAR sensor is not included in the rosbag. To include it, manually add the following static transform to your ROS setup:<br><node pkg="tf" type="static_transform_publisher" name="rslidar_broadcaster" args="0.15 0 0.13 0 0.309017 0 base rslidar 0.1" /><br><br><strong>Important:</strong> There was a camera malfunction midway through the dataset collection.</p>
Multimodal Sensor Dataset from a Forest Environment in Adões using a Unitree Go1 Platform equipped with a Velarray M1600 LiDAR
<p><strong>Dataset Description:</strong></p> <p>This dataset was collected using a Unitree Go1 robot equipped with various sensors:</p> <ul> <li><strong>LiDAR Data:</strong> Captured with a Velodyne Velarray M1600.</li> <li><strong>IMU Data:</strong> Available via the <code>/high_state</code> topic published by the Unitree Go1.</li> <li><strong>RGB Images:</strong> Streamed from a Realsense D435i camera.</li> </ul> <p>To process this dataset, you will need the <code>Unitree_transformer.py</code> Python script, which can be found at the provided <a href="https://github.com/pedrotomas27/python_executables/tree/252ecf0feb9c3e8652daa2e6def7f4c94667207e">URL</a>. Ensure that the <a href="https://github.com/unitreerobotics/unitree_legged_sdk">Unitree package</a> is also installed.</p> <p><strong>Note:</strong> The LiDAR transform is not included in the rosbag file. To incorporate this transform, manually add the following static transform to your ROS setup:<br><br><node pkg="tf" type="static_transform_publisher" name="lidar_0_broadcaster" args="0.15 0 0.13 0 0 0 base lidar_0 0.1" /><br><br></p>
OCRed Cuneiform Signs from the eBL Platform
<p>The OCR model inference developed by the Electronic Babylonian Library Team (https://github.com/ElectronicBabylonianLiterature/cuneiform-ocr) was run on all ca. 75,000 photographs of cuneiform tablets contained in the eBL platform. Although a high threshold was set to increase the accuracy, 1,224,109 signs have been extracted.</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.