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.
4,017
datasets available to search
ShareScore release 0.9.0
Dataset results
4,017 results for “Reduction”
Codes and datasets for a brief introduction to clustering and dimensionality reduction
<p>Python codes and datasets for the examples on unsupervised learning presented in Joris Paret's doctoral thesis « Hidden order in disordered materials » (2021).</p>
Computational data for "On the role of metal cations in CO2 electrocatalytic reduction"
<p>This dataset is used for the analysis published in D. Le and T.S. Rahman, "On the role of metal cations in CO<sub>2</sub> electroreduction reduction," Nature Catalysis (2022). DOI:10.1038/s41929-022-00876-2</p>
Data for: "Carbon dioxide reduction by lanthanide(III) complexes supported by redox-active Schiff base ligands"
<p>RAW DATA FOR ARTICLE</p> <p>DATE: NOVEMBER 2022</p> <p>TITLE: Carbon dioxide reduction by lanthanide(III) complexes supported by redox-active Schiff base ligands</p> <p>AUTHORS: Nadir Jori, Davide Toniolo, Bang C. Huynh, Rosario Scopelliti, and Marinella Mazzanti*</p> <p>JOURNAL: Inorganic Chemistry Frontiers (RSC) 2020</p> <p>DOI: <a href="https://doi.org/10.1039/D0QI00801J">10.1039/D0QI00801J</a> </p> <p> </p>
NO2 levels inside vehicle cabins with pollen and activated carbon filters: A real world targeted intervention to estimate NO2 exposure reduction potential
<p>In-vehicle and on-road (ambient) NO<sub>2</sub> measurements in different car cabin from Birmingham, UK. This dataset was used for the publication NO2 levels inside vehicle cabins with pollen and activated carbon filters: A real world targeted intervention to estimate NO<sub>2</sub> exposure reduction potential, Science of The total environment,160395 <a href="https://doi.org/10.1016/j.scitotenv.2022.160395">https://doi.org/10.1016/j.scitotenv.2022.160395</a></p>
5D-NP-FABTECH_SALV - Open Dataset for "3D Micropatterned Functional Surface Inspired by Salvinia Molesta via Direct Laser Lithography for Air Retention and Drag Reduction"
<p>This is the open dataset for the paper: "Omar Tricinci*, Francesca Pignatelli, Virgilio Mattoli*, 3D Micropatterned Functional Surface Inspired by Salvinia Molesta via Direct Laser Lithography for Air Retention and Drag Reduction, On line (2023) [DOI: 10.1002/adfm.202206946] "</p> <p>This include the Supplementary Information file ("SI-PaperSalvinia3_PostRevOKV2.pdf.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>
Noise Reduction by NBS in Valladolid city
<p>Noise pollution by traffic, construction works, etc. is a common city problem. Nuisance from noise is detrimental to neighbourhood liveability, living comfort and work environments, and can increase risk of serious health problems such as hearing loss and cardiovascular disease.</p> <p>Urban ecosystems provide noise reduction services by serving as a natural sound buffer. Vegetation provides both a direct and an indirect barrier to environmental noise. Starting with its direct functions, green belts attenuate noise by absorption, dispersal, and destructive interference of sound waves, though sound levels can intensify locally if measured right below tree crowns. Indirect noise reduction effects are generated by lessened wind speeds and the absorptive capacity of pervious soils. UGS also proved to offer noise reducing services via psychological effects: just observing the presence of a green wall can lead people to perceive less noise nuisance or alter the perception of noise as sounds such as flowing water, bird singing, and leaves rustling in the wind mask disturbing background noise.</p> <p>On the other hand, the methodology proposed for this KPI is based and uses the methodology and tools proposed by the European Commission Working Group Assessment of Exposure to Noise (WG-AEN).</p> <p>The Environmental Noise Directive (END) requires two main indicators to be applied in the assessment and management of environmental noise. The first indicator (Lden) is the noise level for the day, evening and night periods and is designed to measure ‘annoyance’. The END defines an Lden threshold of 55 dB. The second indicator (Lnight) is the noise level for night-time periods and is designed to assess sleep disturbance. The END defines an Lnight threshold of 50 dB. Member States must report the numbers of people who are exposed to noise levels above both thresholds for each noise source (e.g. roads, railways, airports, industry).</p>
Supplementary Material of the Manuscript: "The effects of blank size and knapping strategy on the estimation of core's reduction intensity"
<p>This repository hosts the R-markdown and dataset that allow reproducibility and replicability of the statistical analyses implemented in the paper: Lombao, D., Cueva-Temprana, A., Rabuñal, J.R., Morales, J.I., Mosquera, M. The effects of blank size and knapping strategy on the estimation of core’s reduction intensity. <em>Archaeol Anthropol Sci</em> <strong>11</strong>, 5445–5461 (2019). https://doi.org/10.1007/s12520-019-00879-4<br> For further information, please open first the readme.txt. document.</p>
Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy
<p><em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.</p>
Coupling Microkinetics with Continuum Transport Models to Understand Electrochemical CO2 Reduction in Flow Reactors
<p>Data supporting the manuscript published in PRX Energy titled "Coupling Microkinetics with Continuum Transport Models to Understand Electrochemical CO2 Reduction in Flow Reactors". Jupyter notebook and included data for recreating the figures in the paper and for additional analysis.</p>
Measurements of ethylene production (using the acetylene reduction assay) as a proxy for nitrogen fixation of epiphytes on seagrass in West Falmouth Harbor during July from 2005 through 2019.
West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, we have measured nitrogen fixation rates of seagrass-associated epiphytes using the acetylene reduction technique. Samples were taken annually in July at two sites, one in the well-flushed outer basin (OH) and one in the inner basin closer to the dominant groundwater N source (Snug Harbor, SH). Additional data are presented in 2019 at 18 sites spatially distributed through the seagrass bed to assess spatial heterogeneity. Individual replicate data are presented. These data are in support of a manuscript submitted to the journal Biogeochemistry by Marino et al, submitted for publication (12/2022).
Acetylene reduction and 15N2 uptake rates for Alnus tenuifolia and Alnus crispa in six different successional habitats
This study sought to determine the conversion factor between acetylene reduction and N-fixation rates by root nodules excised from naturally-occurring Alnus tenuifolia and Alnus crispa plants in 18 sites in the BNZ-LTER. N-fixation rate was measured via uptake of 15N2 by excised nodule tissue. Sites were chosen to represent three replicates of early, mid, and late successional habitats on the Tanana River floodplain and in surrounding upland areas. A. tenuifolia was sampled in floodplain sites, and A. crispa in uplands. Parameters measured: acetylene reduction rate, N2 fixation rate, ratio of acetylene reduced to N2 fixed, soil temperature, leaf del 15N, and specific leaf weight. Most of the fixed nitrogen (N) that enters the N cycle in Alaskan forests is fixed biologically by alder (Alnus spp.) in symbiosis with the N-fixing bacterial genus Frankia. Estimates of gross N inputs resulting from this process ultimately rely on accurate measurement of N-fixation by nodule tissue. These rates are typically estimated by measuring rates of acetylene reduction by nodule tissue, then using an empirically determined conversion factor to obtain the corresponding N fixation rate. The purposes of this study were to determine: 1) the conversion factor(s) for Alnus tenuifolia and Alnus crispa in the Bonanza Creek Experimental Forest, and 2) whether the conversion factor varied between plants occurring in different successional habitats.
Risk Reduction Measures Database (RRMD)
<p>The Risk Reduction Measures Database (RRMD) is a tool to assist water supply risk managers in the<br> process of finding suitable measures for an appropriate risk treatment. The aim of the measures listed in the RRMD is the<br> reduction of risks that have been identified in the Risk Identification Database (RIDB).</p>
Data for "Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis"
<p>The files named <code>df_scran.csv</code>, <code>df_seurat.csv</code>, <code>df_zinbwave.csv</code>, <code>df_dca.csv</code>, and <code>df_scvi.csv</code> contain one row per configuration that we ran successfully.</p> <p>The files named <code>DATASET.METHOD.h5ad</code> are encoded with anndata <code>v0.7.0</code> (be careful as they are not readable with previous versions) and contain 100 embeddings each. The embeddings are in the <code>obsm</code> attribute of the object. All the embeddings can be listed with the <code>obsm_keys()</code> method. The name of the embedding contains the parameters used to generate that embedding and are written like that <code>method=zinbwave.dims=10.epsilon=1000.features=300.gene_covariate=0</code>.</p> <p> </p> <p>For questions on this dataset please contact fraimundo@google.com</p>
Solvation Procedures Assessment of Borohydride Reduction of Carbon Dioxide
<p>Pathways, structures, gas-phase and solvation energies of aqueous borohydride reduction of carbon dioxide.</p> <p><strong>Contents</strong></p> <p><strong>data</strong></p> <p>Computational chemistry output files for gas-phase electronic energies, solvation energies, and QM/MM MD simulations are provided. They are organized by the method used to seek the reaction pathway.</p> <ul> <li>neb: contains computations involved with the g-SSNEB pathway from <a href="https://doi.org/10.1021/acs.jpcb.6b07606">Groenenboom and Keith</a>.</li> <li>gsm: contains computations either in preparation or execution of <a href="https://github.com/ZimmermanGroup/molecularGSM">growing string method (GSM)</a> calculations. The lego module of <a href="https://www.zhjun-sci.com/software-abcluster-download.php">ABCluster</a> was used to generate candidate starting structures.</li> <li>other: contains miscellaneous computations for additional analyses.</li> <li>scripts: contains all Python code used to generate <a href="https://github.com/OpenChemistry/chemicaljson">Chemical JSON</a> and CSV files.</li> <li>qmmm: contains <a href="https://www.msg.chem.iastate.edu/gamess/">GAMESS</a> QM/MM MD trajectories and <a href="http://membrane.urmc.rochester.edu/?page_id=126">WHAM</a> analyses.</li> </ul> <p>Note: the QM/MM MD data is in the zip with the "qmmm" suffix. Everything else is in the other zip.</p> <p><strong>figures</strong></p> <p>Contains Python scripts and figures made with matplotlib. Python files are named according to the data they use; for example, figure-neb.py is the code for figures that plot the various g-SSNEB pathways. Figures are organized according to where they appear: directly in the article (article/) or as supplemental information (si/).</p> <p><strong>structures</strong></p> <p>XYZ files relevant to this study organized by the chain-of-states method.</p>
Beyond cost reduction: Improving the value of energy storage.
<p>The here provided ".nc" files are data files from the paper "Beyond cost reduction: Improving the value of energy storage". The data files represent 3 scenarios from a European energy system model PyPSA-Eur. It can be used as input to the Jupyter notebook analysis and plotting scripts provided in <a href="https://github.com/pz-max/Beyond-cost-reduction-Improving-the-value-of-energy-storage">GitHub.</a></p>
Sequence data for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers"
<p>Sequence data (Illumina MiSeq runs) for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers". File names indicate unique run identifiers. In the manuscript, shorter names are used:</p> <ul> <li>NC12: 140602_M00528_0019_000000000-A88YD</li> <li>NC17: 140918_M00528_0047_000000000-A8GHU</li> <li>NC22b: 141105_M00528_0062_000000000-AAPC2</li> <li>NCki: 140207_M00528_0069_000000000-A5TY9</li> </ul> <p> </p>
Genome alignments for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers"
<p>Sequence alignment (Moirai workflow management) for the article "Targeted reduction of highly abundant transcripts with pseudo-random primers". File names indicate unique run identifiers. In the manuscript, shorter names are used:</p> <ul> <li>NC12: NC12_1.CAGEscan_short-reads.20150629125015</li> <li>NC17: NC16-17_1.CAGEscan_short-reads.20150625154740</li> <li>NC22b: NC22b.CAGEscan_short-reads.20150625152335</li> <li>NCki: NCms10058_1.CAGEscan_short-reads.20150625154711</li> </ul>
Linear Time Varying System Examples for Model Order Reduction
<p>Three linear time varying system benchmarks implemented in MATLAB. </p> <p>1.) a time varying version of the Oberwolfach Steel Cooling Benchmark</p> <p>2.) a one dimensional heat equation with a moving point heat source</p> <p>3.) a linearized Burgers equation</p> <p>Model 1 comes in the same 5 resolutions as the original time-invariant version. the other two are freely scalable.</p> <p> </p>
Forest restoration and fuels reduction work: Different pathways for achieving success in the Sierra Nevada
Fire suppression and past selective logging of large trees have fundamentally changed frequent-fire adapted forests in California. The culmination of these changes produced forests that are vulnerable to catastrophic change by wildfire, drought, and bark beetles, with climate change exacerbating this vulnerability. Management options available to address this problem include mechanical treatments (Mech), prescribed fire (Fire), or combinations of these treatments (Mech + Fire). We quantify changes in forest structure and composition, fuel accumulation, modeled fire behavior, inter-tree competition, and economics from a 20-year forest restoration study in the northern Sierra Nevada. All three active treatments (Fire, Mech, Mech + Fire) produced forest conditions that were much more resistant to wildfire than the untreated control. The treatments that included prescribed fire (Fire, Mech + Fire) produced the lowest surface and duff fuel loads and the lowest modeled fire hazards. Mech produced low fire hazards beginning 7-years after the initial treatment and Mech + Fire had lower tree growth than controls. The only treatment that produced inter-tree competition similar to historical California mixed-conifer forests was Mech + Fire, indicating that stands under this treatment would likely be more resilient to enhanced forest stressors. While Fire reduced modeled fire hazard and reintroduced a fundamental ecosystem process, it was done at a net cost to the landowner. Using Mech that included mastication and commercial thinning resulted in positive revenues and was also relatively strong as an investment in reducing modeled fire hazard. The Mech + Fire treatment represents a compromise between the desire to sustain financial feasibility and the desire to reintroduce fire. One key component to long-term forest conservation will be continued treatments to maintain or improve the conditions from forest restoration. Many Indigenous people speak of 'active stewardship' as one of the key principles in land management and this aligns well with the need for increased restoration in western US forests. If we do not use the knowledge from 20+ years of forest research and the much longer tradition of Indigenous cultural practices and knowledge, frequent-fire forests will continue to be degraded and lost.
Dataset for publication "Multi-phase quantitative compositional mapping by LA-ICP-MS: analytical approach and data reduction protocol implemented in XMapTools"
<p>Datasets for the publication "Multi-phase quantitative compositional mapping by LA-ICP-MS: analytical approach and data reduction in XMapTools"</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.