Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,630
datasets available to search
ShareScore release 0.9.0
Dataset results
1,630 results for “Stepping”
Supplementary Material Accompanying the Study "First Steps Towards the Integration of Resources on Historical Glossing Traditions in the History of Chinese: A Collection of Standardized Fǎnqiè Spellings from the Guǎngyùn"
Open the record for dataset details and reuse information.
Impact of horizontal resolution and model time step on European precipitation extremes in the OpenIFS 43r3 atmosphere model
<p>Python scripts used for GMD paper</p>
Step Change -CSI 4 – Infectious Disease Outbreak Preparedness the Italy – Infographic
Open the record for dataset details and reuse information.
Step Change - CSI 3 – Energy Communities in Germany – Infographic
Open the record for dataset details and reuse information.
Step Change - CSI 2 – Non-Alcoholic Fatty Liver Disease in the UK – Infographic
Open the record for dataset details and reuse information.
Step Change -CSI 5 – Off-Grid Renewable Energy in Agriculture in Uganda – Infographic
Open the record for dataset details and reuse information.
Step Change CSI 1 - Wildlife Conservation in Slovenia - Infographic
Open the record for dataset details and reuse information.
Stepping into the Wildeverse: Evaluating the impact of augmented reality mobile gaming on pro-conservation behaviours
<p>Promoting pro-conservation behaviours has become a priority for conservation organisations worldwide. Yet, current engagement strategies still face a number of barriers to creating successful interventions at the scale needed to meet global sustainability challenges.</p> <p>Online and mobile games enjoy immense worldwide popularity, tapping into an audience not normally reached through conventional conservation outreach channels. Despite this potential to be a new, high impact and scalable platform for promoting pro-environmental behaviours, the opportunities within digital games for conservation have thus far been little explored and organisations have called for robust impact evaluations for this medium. Therefore, we investigated the effectiveness of the augmented reality game Wildeverse, which seeks to generate support for ape conservation and encourage pro-environmental behaviours.</p> <p>We conducted a randomised control trial to experimentally compare the impacts of this game against watching a documentary, a conventional conservation outreach intervention. We compared changes in participants' knowledge, attitudes and revealed donation behaviours across the two groups and found that games performed as well as documentaries in supporting positive environmental knowledge and attitudes.</p> <p>The results gathered from this study provide experimental insight into the potential for the broader use of digital games for conservation outreach and also provide evidence against the argument that gaming can detract from real-world environmental problems creating a disconnect with these issues. However, results from this study could not provide any evidence that Wildeverse was successful in achieving its additional aim of encouraging players to donate to conservation, which provides evidence for the existence of an Environmental Values-Behaviour (EVB) gap in conservation gaming.</p> <p>The gaming industry is global and rapidly growing and should no longer be ignored as an avenue for conservation outreach. We recommend several ways in which future studies can expand on this work to better understand how to effectively harness the power of digital games to drive tangible change that benefits biodiversity. </p>
BD Smart step 3
<p>BD</p>
One-Step Grown Carbonaceous Germanium Nanowires and Their Application as Highly Efficient Lithium-Ion Battery Anodes
<p>Developing a simple, cheap, and scalable synthetic method for the fabrication of functional nanomaterials is crucial. Carbon-based nanowire nanocomposites could play a key role in integrating group IV semiconducting nanomaterials as anodes into Li-ion batteries. Here, we report a very simple, one-pot solvothermal-like growth of carbonaceous germanium (C-Ge) nanowires in a supercritical solvent. C-Ge nanowires are grown just by heating (380–490 °C) a commercially sourced Ge precursor, diphenylgermane (DPG), in supercritical toluene, without any external catalysts or surfactants. The self-seeded nanowires are highly crystalline and very thin, with an average diameter between 11 and 19 nm. The amorphous carbonaceous layer coating on Ge nanowires is formed from the polymerization and condensation of light carbon compounds generated from the decomposition of DPG during the growth process. These carbonaceous Ge nanowires demonstrate impressive electrochemical performance as an anode material for Li-ion batteries with high specific charge values (>1200 mAh g<sup>–1</sup> after 500 cycles), greater than most of the previously reported for other “binder-free” Ge nanowire anode materials, and exceptionally stable capacity retention. The high specific charge values and impressively stable capacity are due to the unique morphology and composition of the nanowires.</p>
HUVEC monolayer under periodic and step pressure stimulation
<p>Recorded images at 0.5 and 1 frame per second. HUVEC monolayer under periodic pressure stimulation.</p>
Data from: Incorporating single-step strategy into random regression model to enhance genomic prediction of longitudinal trait
In prediction of genomic values, single-step method has been demonstrated to outperform multi-step methods. In statistical analyses of longitudinal traits, random regression test-day model (RR-TDM) has clear advantages over other models. Our goal in this study was to evaluate the performance of the model integrating both single-step and RR-TDM prediction methods, called single-step random regression test-day model (SS RR-TDM), in comparison with the pedigree-based RR-TDM and genomic best linear unbiased prediction (GBLUP) model. We performed extensive simulations to exploit potential advantages of SS RR-TDM over the other two models under various scenarios with different level of heritability, the number of QTL as well as the selection scheme. SS RR-TDM was found to achieve the highest accuracy and unbiasedness under all scenarios, exhibiting robust prediction ability in longitudinal trait analyses. Moreover, SS RR-TDM showed better persistency of accuracy over generations than GBLUP model. In addition, we also found that the SS RR-TDM had advantages over RR-TDM and GBLUP in terms of a real dataset of human contributed by the GAW18 workshop. The findings in our study firstly proved the feasibility and advantages of the SS RR-TDM, and further enhanced strategies for the genomic prediction of longitudinal traits in the future.
Supplementary material 9 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
Maximum Likelihood (ML) tree of 16SrDNA haplotypes of Monacha cantiana
Supplementary material 8 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
Maximum Likelihood (ML) tree of 16SrDNA haplotypes of Monacha cantiana
Supplementary material 5 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
Concatenated sequences of COI+16SrDNA used in NJ/ML-MEGA7/IQ Tree/RAxML/BI analysis (Fig. 9)
Supplementary material 4 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
ITS2 sequences from GenBank used for molecular analysis comparisons (haplotypes in bold)
Supplementary material 1 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
COI sequences from GenBank used for molecular analysis comparisons (haplotypes in bold)
Supplementary material 10 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
Maximum Likelihood (ML) tree of ITS2 (flanked with 5.8S and 28SrDNA) haplotypes of Monacha cantiana
Supplementary material 2 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
16SrDNA sequences from GenBank used for molecular analysis comparisons (haplotypes in bold)
Supplementary material 3 from: Pieńkowska JR, Manganelli G, Proćków M, Barbato D, Sosnowska K, Giusti F, Lesicki A (2024) Next step in Monacha cantiana (Montagu, 1803) phylogeography: northern French and Dutch populations (Eupulmonata, Stylommatophora, Hygromiidae). ZooKeys 1198: 55-86. https://doi.org/10.3897/zookeys.1198.119738
H3 sequences from GenBank used for molecular analysis comparisons (haplotypes in bold)
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.