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5,061 results for “access”
Data from: Optical projection tomography implemented for accessibility and low cost (OPTImAL)
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Dogs do not use their own experience with novel barriers to infer others’ visual access
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Data from: Subgenome-informed statistical modeling of transcriptomes in 25 common wheat accessions reveals cis- and trans- regulation architectures
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Data from: Pitfalls and pointers: an accessible guide to marker gene amplicon sequencing in ecological applications
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Data for: Analysis of travel time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals
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Data for: Urban form and its impacts on air pollution and access to green space: A global analysis of 462 cities
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Open access publishers: the DOAJ Seal profile
<p>The DOAJ database was created in 2003 and includes almost 14,000 peer-reviewed open access journals covering all knowledge areas, published in 130 countries. There is a selective process to be followed to assure the quality of the titles. DOAJ is maintained by Infrastructure Services for Open Access (IS4OA) and its funding is derived from donations (40% from publishers and 60% from the public sector). DOAJ introduced a quality distinction, called the DOAJ Seal, to identify the most prominent journals. There are 1354 journals (around 10% of the total) that have been awarded the Seal.</p> <p>The search strategy involved using the Seal option, then ranking the journals to identify the biggest publishers, the number of journals and the number of articles. We have extracted the following indicators from DOAJ: publisher, title, ISSN, country, number of articles, knowledge area (according to the DOAJ classification), value of article processing charges in USD, time for publication in weeks, and year of indexing in DOAJ.</p>
EU-member States Copyright Laws with Open Access Amendments
<p>This spreadsheet displays information on existing or scheduled copyright laws with an Open Access amendment in EU-member states. The information is generated from using the respective websites being mentioned in the sheet. </p> <p>Data collection, sharing, feedback and corrections:Information was initially collected in 2016 for Knowledge Exchange and the Dutch Library Consortium (UKB) and publicly shared in 2017; more information will continue to be added. The spreadsheet is open to corrections, additions and remarks from anyone. Use the comments function or approach the creator via twitter or email.</p> <p>Acknowledgements: Thanks to Knowledge Exchange OA expert group members for input</p>
GWAS output for early salt stress responses in Arabidopsis thaliana accessions
<p>The output of the Genome Wide Association Study for early responses to salt stress in Arabidopsis accessions. The "_gwas2029.rda" files contain associations found for each trait using single models, where the first part of file name describes the phenotype (e.g. ROUNDNESS), the first number describes the day after stress application, the subsequent C/S indicated whether the association was performed with the trait scored at Control / Salt Stress conditions respectively. The "mtmm_final.rda" files contain the associations found between two traits, indicated as above in the first part of the file name. </p>
Artifacts related to "Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"
<p>This archive contains data related to in the following paper:</p> <p>"Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"</p> <p>(published at the ACM MMSys 2020 conference)</p> <p>Copyright (c) 2020, Theresa Enghardt <theresa@tenghardt.net>, Fachgebiet INET - TU Berlin.</p> <p><br> See https://github.com/fg-inet/MMSys2020_Informed-Access-Network-Selection for more information.</p> <p>This data is released under the Creative Commons Attribution 4.0 International license.</p>
Fig. 1 in Data publication and dissemination of interactive keys under the open access model
Fig. 1. Th e ZooKeys model for data publication and dissemination of interactive keys.
UAE HEIs open access institutional survey
<p>These are the anonymized results from a survey run in 2019. The survey was aimed at research universities in the United Arab Emirates. The survey was designed to explore the role of HEIs in the United Arab Emirates (UAE) OA uptake and reflect on the ongoing international initiatives pushing for universal OA to research.</p>
Index and biological spectrum of accessible DNA elements in the human genome
<p>Data associated with the manuscript titled<br> "Index and biological spectrum of accessible DNA elements in the human genome"<br> <a href="https://doi.org/10.1101/822510">https://doi.org/10.1101/822510</a></p> <p>Code repositories for these data are available here:</p> <ul> <li>https://github.com/Altius/Index</li> <li>https://github.com/Altius/Vocabulary</li> </ul> <p><br> Tab-separated file with DNase I Hypersensitive Site (DHS) coordinates,<br> including DHS summits and core regions and assignments to regulatory components.<br> A separate legend file describes the contents of each column in more detail.</p> <ul> <li>DHS_Index_and_Vocabulary_hg38_WM20190703.txt.gz</li> <li>DHS_Index_and_Vocabulary_hg19_WM20190703.txt.gz (mapped using liftOver, not ideal)</li> <li>DHS_Index_and_Vocabulary_legend.txt</li> </ul> <p> </p> <p>Metadata files describing biosample characteristics and annotations,<br> provided in HTML, PDF, TSV and Excel formats:</p> <ul> <li>DHS_Index_and_Vocabulary_metadata.html</li> <li>DHS_Index_and_Vocabulary_metadata.pdf</li> <li>DHS_Index_and_Vocabulary_metadata.tsv</li> <li>DHS_Index_and_Vocabulary_metadata.xlsx</li> </ul> <p> </p> <p>Presence/absence matrix of DHSs (rows) versus biosamples (columns),<br> provided in RData, MatrixMarket and raw formats:</p> <ul> <li>dat_bin_FDR01_hg38.RData</li> <li>dat_bin_FDR01_hg38.mtx.gz</li> <li>dat_bin_FDR01_hg38.txt.gz</li> <li>dat_bin_FDR01_hg19.RData (mapped using liftOver, not ideal)</li> <li>dat_bin_FDR01_hg19.txt.gz (mapped using liftOver, not ideal)</li> </ul> <p> </p> <p>Normalized DNase-seq signal matrix of DHSs (rows) versus biosamples (columns),<br> provided in RData and raw formats:</p> <ul> <li>dat_FDR01_hg38.RData</li> <li>dat_FDR01_hg38.txt.gz</li> </ul> <p>The order of DHSs (rows) is the same as in the DHS Index file(s) above,<br> and the order of biosamples (columns) is the same as in the metadata files.</p> <p> </p> <p>Non-negative Matrix Factorization (NMF) results, decomposing the presence/absence matrix (hg38) into 16 components:</p> <ul> <li>2018-06-08NC16_NNDSVD_Mixture.npy.gz</li> <li>2018-06-08NC16_NNDSVD_Basis.npy.gz</li> </ul> <p> </p> <p>Putative transcription factor-specific regulatory elements,<br> identified using DHS Vocabulary components, TF motif databases and biosample-specific footprinting data:</p> <ul> <li>TF_associated_DHSs_hg38.tar.gz</li> </ul>
Supplementary material for the publication: J. D. Nixon, K. Bhargava and E. Gaura, Analysis of standalone solar streetlights for improved energy access in displaced settlements, 2020.
<p>The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people.</p> <p>As part of the project, we deployed 11 advanced solar streetlights, with additional energy access provided by ground-level AC sockets, at two project sites: Gihembe refugee camp, Rwanda (4 lights) and Uttargaya settlement, Nepal (7 lights), in July 2019. The aim of this study was to (a) identify best practices in the construction, location and security measures for long-lived street lighting (b) understand how communities would use a shared energy resource when available through energy sockets, auxiliary to the main function of the streetlights.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Analysis of standalone solar streetlights for improved energy access in displaced settlements</strong>' (currently under review). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a> under HEED_Nepal_SL and HEED_Rwanda_SL repositories.</p>
Xylomelum occidentale (Proteaceae) accesses relatively mobile soil organic phosphorus without releasing carboxylates
<p>1. Hundreds of Proteaceae species in Australia and South Africa typically grow on phosphorus (P)-impoverished soils, exhibiting a carboxylate-releasing P-mobilising strategy. In the Southwest Australian Biodiversity Hotspot, two <i>Xylomelum </i> (Proteaceae) species are widely distributed, but restricted within that distribution.</p> <p>2. We grew <i>X. occidentale</i> in hydroponics at 1 μM P. Leaves, seeds, rhizosheath and bulk soil were collected in natural habitats.</p> <p>3. <i>Xylomelum occidentale</i> did not produce functional cluster roots and occupied soils that are somewhat less P-impoverished than those in typical Proteaceae habitats in the region. Based on measurements of foliar manganese concentrations (a proxy for rhizosphere carboxylate concentrations) and P fractions in bulk and rhizosheath soil, we conclude that <i>X. occidentale</i> accesses organic P, without releasing carboxylates. Solution <sup>31</sup>P-NMR revealed which organic P forms <i>X. occidentale</i> accessed.</p> <p>4. <i>Xylomelum occidentale</i> uses a strategy that differs fundamentally from that typical in Proteaceae, accessing soil organic P without carboxylates. We surmise that this novel strategy is likely expressed also in co-occurring non-Proteaceae that lack a carboxylate-exuding strategy, and plants in similar habitats. These co-occurring species are unlikely to benefit from mycorrhizal associations, because plant-available soil P concentrations are too low.</p> <p>5. <i>Synthesis.</i> Our findings show the first field evidence of effectively utilising soil organic P by <i>X. occidentale</i> without carboxylate exudation and explain their relatively restricted distribution in an old P-impoverished landscape, contributing to a better understanding of how diverse P-acquisition strategies coexist in a megadiverse ecosystem.</p>
Data of "A network-ready random-access qubits memory"
<p>Data published in "<em>A network-ready random-access qubits memory</em>"</p> <p><em>npj Quantum Information</em></p>
Urban Green Area Accessibility Prioritization in Helsinki Metropolitan Area, Finland
<p>R scripts and Zonation input and output files for the research article Jalkanen, Fabritius, Vierikko, Moilanen & Toivonen (2020), “Analyzing fair access to urban green areas using multimodal accessibility measures and spatial prioritization”, <em>Applied Geography</em> (doi:10.1016/j.apgeog.2020.102320). See also the GitHub page for possible updates: <a href="https://github.com/DigitalGeographyLab/urban-green-area-accessibility-prioritization/">https://github.com/DigitalGeographyLab/urban-green-area-accessibility-prioritization/</a></p> <p><strong>R scripts</strong></p> <ul> <li> <p>01_Distance-decays_of_travel_modes.r: Code for defining distance-decay functions for travels from home to a recreational area. Functions are defined separately for different travel modes (walking, biking, public transport) and they are based on a travel survey by Helsinki Region Transport Authority (Brandt et al. 2019).</p> </li> <li> <p>02_Green_area_accessibility_layers_from_cell-specific_travel_times.r: Code for creating raster layers depicting the accessibility of green areas in the Helsinki Metropolitan Area, separately from the point of view of all the metropole’s districts. Accessibility is based on modeled travel times (Tenkanen & Toivonen 2020) and distance-decay functions (previous code).</p> </li> <li> <p>03_Green_area_buffer_analysis_for_comparison.r: Code for calculating the number of people living within 500m buffer around different green area pixels in the Helsinki Metropolitan Area.</p> </li> </ul> <p><strong>Zonation files</strong></p> <p>Each folder contains standard Zonation input and output files for different analysis versions described in the article. The .bat files that execute each Zonation run are located in the corresponding folders. The “input” subfolders include the features_list.spp and settings.dat files for each run. The “output” subfolders include all files generated and named automatically by the Zonation software. For instance, the priority rank maps shown in the article are found in these subfolders. See the Zonation manual (Moilanen et al. 2014) for details about e.g. the usage, naming, or structure of the different files.</p> <p>Zonation analysis versions are named as follows:</p> <ul> <li>walk = Analysis includes the accessibility of all green areas based on walking.</li> <li>bike = Analysis includes the accessibility of all green areas based on biking.</li> <li>pt = Analysis includes the accessibility of large forests based on public transportation.</li> <li>weights = The population-weighted version of the analysis. Here, each input raster layer (showing the accessibility of green areas from different city districts) is weighted by the population of the corresponding district.</li> </ul> <p><strong>References</strong></p> <p>Brandt E, Kantele S & Räty P (2019). Liikkumistottumukset Helsingin seudulla 2018 (Travel habits in the Helsinki region in 2018). HSL Publications 9/2019. <a href="https://www.hsl.fi/sites/default/files/hsl_julkaisu_9_2019_netti.pdf">https://www.hsl.fi/sites/default/files/hsl_julkaisu_9_2019_netti.pdf</a></p> <p>Tenkanen, H & Toivonen T (2020). Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region. Scientific Data 7: 1–15. <a href="https://doi.org/10.1038/s41597-020-0413-y">https://doi.org/10.1038/s41597-020-0413-y</a></p> <p>Moilanen, Pouzols FM, Meller L, Veach V, Arponen A, Leppänen J, Kujala H (2014) Zonation Version 4 user manual. C-BIG, University of Helsinki, Helsinki.</p>
Dados coletados das revistas de revisão aberta do Directory of Open Access Journals
<p>Dados coletados para pesquisa que visa analisar os periódicos científicos adeptos da revisão por pares aberta e que estão indexados no Directory of Open Access Journals. Os dados apontam as características descritivas e características de revisão dos periódicos.</p>
Data for Predictors of young people's access to and utilization of sexual and reproductive health services (SRHS) in Enugu State, Nigeria
<p>Data of a manuscript titled "Predictors of young people’s use of sexual and reproductive health services in Nigeria: a mixed-method approach" submitted to BMC Public Health</p>
Panel Disscussion: The meaning of access and sustainability in different knowledge domains and the way these can be guaranteed
<p>Panel Discussion</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.