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354 results for “data access”
Data from: Population genomics of pearl millet (Pennisetum glaucum (L.) R. Br.): comparative analysis of global accessions and Senegalese landraces
Background: Pearl millet is a staple food for people in arid and semi-arid regions of Africa and South Asia due to its high drought tolerance and nutritional qualities. A better understanding of the genomic diversity and population structure of pearl millet germplasm is needed to support germplasm conservation and genetic improvement of this crop. Here we characterized two pearl millet diversity panels, (i) a set of global accessions from Africa, Asia, and the America, and (ii) a collection of landraces from multiple agro-ecological zones in Senegal. Results: We identified 83,875 single nucleotide polymorphisms (SNPs) in 500 pearl millet accessions, comprised of 252 global accessions and 248 Senegalese landraces, using genotyping by sequencing (GBS) of PstI-MspI reduced representation libraries. We used these SNPs to characterize genomic diversity and population structure among the accessions. The Senegalese landraces had the highest levels of genetic diversity (π), while accessions from southern Africa and Asia showed lower diversity levels. Principal component analyses and ancestry estimation indicated clear population structure between the Senegalese landraces and the global accessions, and among countries in the global accessions. In contrast, little population structure was observed across in the Senegalese landraces collections. We ordered SNPs on the pearl millet genetic map and observed much faster linkage disequilibrium (LD) decay in Senegalese landraces compared to global accessions. A comparison of pearl millet GBS linkage map with the foxtail millet (Setaria italica) and sorghum (Sorghum bicolor) genomes indicated extensive regions of synteny, as well as some large-scale rearrangements in the pearl millet lineage. Conclusions: We identified 83,875 SNPs as a genomic resource for pearl millet improvement. The high genetic diversity in Senegal relative to other regions of Africa and Asia supports a West African origin of this crop, followed by wide diffusion. The rapid LD decay and lack of confounding population structure along agro-ecological zones in Senegalese pearl millet will facilitate future association mapping studies. Comparative population genomics will provide insights into panicoid crop evolution and support improvement of these climate-resilient crops.
@gccaedits data - October 2015 accession
<p>@gccaedits data - October 2015 accession</p> <p>Description</p> <p>This release contains Twitter archive requests of the @gccaedits account up to October 1, 2015.</p> <p>You should be able to download the release and open an index.html, from a given accession, with your browser to view the archive.</p> <p>License</p> <p>The contents of each accession's data directory and tweets.csv are Public Domain (CC0) licensed.</p>
Supplementary material 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Data quality issues: Accuracy - issues around data collection.
Figure 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Figure 1 - Tobacco Data in Africa Project Data Inventory 2016. Original data available as Suppl. material 1.
Fig. 2 in Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data
Fig. 2 Sch_m_ of a data packag_ in taxonomy c_nt_r_d around a sp_cim_n. This _xampl_ is from zoology, and data typ_s will obviously diff_r among taxa
Figure 2 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 2 New taxa published in ZooKeys, registered in ZooBank (courtesy of Richard Pyle; *until 27.6.2018).
Figure 1 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 1 Growth of submitted manuscripts and published articles in ZooKeys from 2008 to 2018 (*until 27.6.2018).
Figure 3 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105
Figure 3 Total number of ZooKeys mentions in social media and popular magazines (Altmetric, June 2018).
Figure 1 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 1 Types of collection objects. Given are the frequencies of particular objects the survey participants' institution or department holds. Other objects include soil, crystal models, historical instruments, boreholes, etc.
Figure 5 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 5 Elements identified by workshop and survey participants as being important for the publication of geoscientific collection objects. The four different object classes (fossils, rocks, meteorites, and minerals) are highlighted in different shades of green, terms important for the respective class are assigned around the object name and likewise colored, terms in the center (grey) are relevant for all four object classes. Note: The figure only summarizes the mentioned terms, there might be more properties that are important for the publication of collection object associated data for the different object classes and / or more terms mentioned for one class only but important for several.
Figure 4 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 4 Awareness and usage of Geoscientific Collection Access Service (GeoCASe). Shown is the frequency of answers regarding the awareness of GeoCASe (a), the data provision through the GeoCASe portal (b), the readiness to support the progress of improvements (c), and the interest of being part of the GeoCASe community (d).
Supplementary material 1 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Sheet on the survey on geoscientific collection data
Figure 3 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 3 Reasons for publication of (meta)data on geoscientific collection objects (a) and not publishing particular datasets through a data portal (b). Shown is the frequency of answers per reason. Note that the y-axes are scaled differently.
Figure 2 from: Petersen M, Hoffmann J, Glöckler F (2019) Access to Geosciences – Ways and Means to share and publish collection data. Research Ideas and Outcomes 5: e32987. https://doi.org/10.3897/rio.5.e32987
Figure 2 Estimated value of cross-institutional search possibilities through data portals on geoscientific object (meta)data for different target groups. Shown is the frequency of answers for different scopes and their respective importance (see legend).
Raw Data for Data Set of Publication on Detecting Violations of Access Control and Information Flow Policies in Data Flow Diagrams
<p>This data set contains the build script, software and intermedia results that we used to create the result data set for the publication "<a href="https://doi.org/10.1016/j.jss.2021.111138">Detecting Violations of Access Control and Information Flow Policies in Data Flow Diagrams</a>".</p>
Figure 1 from: Kress W, Knapp S, Stoev P, Penev L (2012) On the front line of modern data-management and Open Access publishing: Two years of PhytoKeys – the fastest growing journal in plant systematics. PhytoKeys 19: 1-8. https://doi.org/10.3897/phytokeys.19.4501
Figure 1 - Total number of submitted manuscripts, published articles and pages per year in PhyltoKeys.
Fluctuating environments promote evolvability by shaping adaptive variation accessible to populations (Data)
<p>Data used in "Fluctuating environments promote evolvability by shaping adaptive variation accessible to populations", along with the scripts and analysis files. These include the configuration files used for Avida and the Wright-Fisher simulations. </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>
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>
Use Case Colorblind Accessibility Experiment Data and Replication Materials
<p>Use Case Colorblind Accessibility Experiment Data and Replication Materials</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.