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8,537 results for “Openness”
Open data for assessing habitats degree of conservation at plot level. An example dataset of forest structural attributes in Val d'Agri (Basilicata, Southern Italy)
<p>We provide a georeferenced dataset of vertical and horizontal structure of forest types belonging to 4 habitat types, sensu Council Directive 92/43/EEC. The dataset includes structural indicators commonly linked to old-growth forests in Europe, in particular the amount of standing and lying deadwood. We collected data on 32 plots (24 of 225 m<sup>2</sup>, and 8 of 100 m<sup>2</sup>, according to different forests type) during spring and summer of 2022, in Val d’Agri (Basilicata, Southern Italy). The dataset we provide follows the common national standard for field data collection in forest habitat types, published by ISPRA in 2016 (https://www.isprambiente.gov.it/public_files/direttiva-habitat/Manuale-142-2016.pdf) with the aim to promote a greater homogeneity in assessment of habitat conservation status at Country and biogeographical level, as requested by the Habitats Directive.</p> <p>Data were acquired by using a free Android application (VegApp, (https://vegapp.de/), and standardized field survey forms.</p> <p>The selection of the location of the sample sites were spatially balanced by using the sofware QGis vers. 3.22 (http://qgis.osgeo.org)</p> <p>plots_Table1 shows the characteristics of the sample sites, and information on type of management, when available.</p> <p>plots_Table2 provides the description and the measuring unit of all the attributes included in the dataset at plot level. It includes parameters used for assessing old-growth forests, linking them to the main type forests management, in order to both select indicators useful for assessing the conservation degree of forest habitat types, and identify good practices for nature conservation in these ecosystems.</p> <p>plots_Table3 contains information on living trees and deadwood at plot level.</p> <p>Trees describes the dataset related to single-tree data, and it contains the following fields for all living trees, exceeding 10 cm DBH, occurring in the plots. The nomenclature follows the Italian checklist available at https://dryades.units.it/floritaly/</p> <p>The shapefile "plots" contains the same information included in plots_Table1.</p>
An open heterologous booster database for COVID-19 vaccines
<p>The development and deployment of vaccines have played a critical role in the control and management of the COVID-19 pandemic. Although homologous vaccination regimens (i.e. vaccinations where individuals received both prime and boost from the same commercial source) were widely administered, many recent studies have shown improved protection from mix-and-match heterologous prime-boost strategies. While most ongoing studies or clinical trials only focus on single or a limited number of heterologous prime-boost regimens, the general landscape of heterologous boosting is not well established. To better study this, the OpenData Portal (ODP) team at the National Center for Advancing Translational Sciences (NCATS) is building an open database for heterologous boost data which actively tracks the clinically tested and varied heterologous vaccination strategies. Preprints and peer-reviewed publications were curated to aggregate <em>in vitro</em> activity data and metadata pertaining to homologous and heterologous vaccine regimens. This database will allow users to investigate the reported <em>in vitro</em> effectiveness of heterologous boosters compared to corresponding homologous boosters. Our efforts to establish the open heterologous boost database aims to provide a high-level overview of current heterologous boosting studies and contribute to the improvement of vaccination strategies for COVID-19 and other pathogens of pandemic potential in the future.</p>
DAPSI Open Call3-Subgrantees Dataset
<p>This file contains the main data from the awarded applicants in the third open call of the NGI-DAPSI Programme funded under the GA 871498.</p>
Semi-supervised learning for sensitive open modification spectral library searching - dataset PXD009476
<p>This is the analysis results of ANN-SoLo + Rescoring as an integrated module. ANN-SoLo spectral library search engine is a tool for efficient open modification searching. ANN-SoLo uses a cascade search strategy to optimally identify both unmodified and modified peptides: in the first stage a standard search is performed to identify unmodified peptides, after which the remaining unidentified spectra are submitted to second stage during which an open search is performed to additionally identify modified peptides. We have augmented this approach by natively integrating PSM rescoring into ANN-SoLo using the mokapot Python framework for semi-supervised learning for peptide detection.</p> <p>The repository includes the results and search database used to analyze a human glycoproteomics dataset that was acquired from human kidney tissue, serum, and T cells to study O-linked glycosylation. Samples were trypsin-digested and separated into 24 fractions after enrichment of intact glycopeptides and release of O-linked glycopeptides. Next, the data was acquired on a Fusion Lumos mass spectrometer with an Easy-nLC 1200 system or a Q-Exactive HF mass spectrometer with a Waters NanoAcquity UPLC. From this dataset, four raw files derived from kidney tissue samples were retrieved from PRIDE (project PXD009476) and converted to MGF files using ThermoRawFileParser (version 1.7.2).</p> <p>The four files are available both in RAW and MGF format below. </p> <p> </p> <ul> <li>Arab, Issar, William E. Fondrie, Kris Laukens, and Wout Bittremieux. "<strong>Semisupervised Machine Learning for Sensitive Open Modification Spectral Library Searching</strong>." Journal of Proteome Research 22, no. 2 (2023): 585-593. <a title="DOI URL" href="https://doi.org/10.1021/acs.jproteome.2c00616">doi.org/10.1021/acs.jproteome.2c00616</a></li> </ul>
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e).
FIGURE 3 in A new group of species of the genus Megalothorax (Collembola, Neelidae) with Gondwanan distribution, and introducing an open interactive identification key of Megalothorax species
FIGURE 3. Megalothorax anterolenis sp. nov. (A) Leg I, (B) Leg II, (C) Leg III.
Molecular nanomagnets with competing interactions as optimal units for qudit-based quantum computation. Open data set
<p>Data supporting the original figures 1, 3, 4, 5, 6 and 7 of the related publication.</p>
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects
<p>This is the dataset for the publication "Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects".</p> <p>It contains just-in-time defect-prediction style data in jit_data2.tar.gz as well as warnings generated by PMD 6.31.0 in warnings_data3.tar.gz.</p> <p>Further information and scripts for generating the plots and tables can be found in the <a href="https://github.com/atrautsch/emse2021a_replication">replication kit</a>.</p>
Investigating How Companies Get Involved in Open Source Software Projects
<p>Dataset derived from <a href="https://zenodo.org/record/3653878#.Y8pIA_7MJro">Enterprise-Driven Open Source Software | Zenodo</a></p>
An Exploratory Empirical Study of Trust & Safety Engineering in Open-Source Social Media Platforms
<p>*</p>
SocketSense Open Access Data KTH Part
<pre>1. KTH_DS01_Sensor Redundancy Reduction The program involved in the 2022 MDPI Sensors paper “Redundancy Reduction for Sensor Deployment in Prosthetic Socket: A Case Study”. 2. KTH_DS02_Sensor Clustering The program involved in the 2021 24th Euromicro Conference on Digital System Designpaper “Evaluation of Time Series Clustering on Embedded Sensor Platform”. </pre>
Open Science and Open Innovation database
<p>Open Science and Open Innovation database </p>
Open government data and big data from a quality perspective
<p>This dataset contains information about the documents and the analysis categories related to open government data and big data from a quality perspective.</p>
Kümmerer et al.; Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass; open data
<p>The file contains data on cover crop biomass and canopy heights determined by ruler method, high-, and low-resolution imaging via unmanned aerial vehicle and structure-from-motion approach from an experimental field site in Triesdorf, Germany. The article to this data set is published in the journal MDPI Remote Sensing: Kümmerer, R.; Noack, P.O.; Bauer, B. Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass. Remote Sens. <strong>2023</strong>, 15, 1520. https://doi.org/10.3390/rs15061520</p>
SocketSense Open Access Data KTH Part
<p><strong>KTH_DS03_Stewart_Platform_Mock_Trials</strong></p> <p> </p> <p><strong>KTH_DS04_Biomechanical_Model</strong></p> <p> </p> <p><strong>KTH_DS05_Finite_Element_Analysis</strong></p>
New England Protected Open Space
<p>The New England Protected Open Space dataset maintained by Harvard Forest is a compilation of existing open space datasets in the New England region including The Nature Conservancy's Secured Areas, National Conservation Easement Database, Protected Areas Database of the U.S., and data provided by states and land trusts. See metadata for each version for version-specific information and information about fields.</p> <p>Version 1.2 was developed between May 2021 and March 2022, and was published in March 2023. Version 1.2 has new data from multiple sources added circa May 2021, more complete attribute information, and tribal lands removed. See metadata for more details. File geodatabase and shapefile versions are provided - refer to metadata for full field names if using shapefile version, as names will be truncated.</p> <p><strong>Important note about versions of NE POS: </strong>NE POS is a dataset we maintain for research purposes, and research projects can take varying lengths of time. Versions of NE POS may be uploaded to Zenodo "out of order," meaning older versions of data may be uploaded after more recent versions have been published. Use the version number to identify the recency of the data rather than the date of upload.</p>
Open code for the Pn study of the Okhotsk region
<p>The open code files for the Pn tomography study of the Okhotsk region.</p>
5D-NP-FABTECH_FNH - Open Dataset for "Facile Handling of 3D Two-Photon Polymerized Microstructures by Ultra-Conformable Freestanding Polymeric Membranes"
<p>This is the open dataset for the paper: "Frank Marco den Hoed, Ottomaniello Andrea, Omar Tricinci, Luca Cesarecciu, Marco Carlotti, Patrizio Raffa and Virgilio Mattoli, Facile Handling of 3D Two-Photon Polymerized Microstructures by Ultra-Conformable Freestanding Polymeric Membranes, On line (2023) [DOI:10.5281/zenodo.7837976]".</p> <p>This include the Supplementary Information file ("Supplementary-Info-AdvFuncMater_denHoed-Ottomaniello_2023.pdf"), all the source material used for the paper preparation and more. </p> <p>For each folder (sub-dataset) there is a corresponding readme file describing the content and including metadata</p>
Figure 6 in Origin of adaptations to open environments and social behaviour in sabretoothed cats from the northeastern border of the Tibetan Plateau
Figure 6. Reconstruction of two Amphimachairodus hezhengensis defending their prey (Hezhengia bohlini) from two Dinocrocuta gigantea. Artwork by Oscar Sanisidro.
Figure 5 in Origin of adaptations to open environments and social behaviour in sabretoothed cats from the northeastern border of the Tibetan Plateau
Figure 5. Composition analysis of the Linxia Basin fauna and contemporary faunae. (a) Proportion of open-adapted species in fauna from MN9-11 of Eurasia shown on the map, with the size of circle representing the proportion value (larger circle means more open species). (b) Proportion of open-adapted species in the faunas from MN9-11 of Eurasia. (c) Non-metric MDS analysis of faunal composition (family level diversity) of the Dashengou Fauna and faunae from western Eurasia.
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.