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7,195 results for “SET”

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zenodo36/100

Code and data for: Setting sustainable limits on anchoring to improve the resilience of coral reefs

<p>This dataset relates to the journal article: Mason, R. A. B., Bozec, Y.-M., Mumby, P. J. (2023)&nbsp;&quot;Setting sustainable limits on anchoring to improve the resilience of coral reefs&quot;&nbsp;<em>Marine Pollution Bulletin</em> 189: 114721 and is comprised of&nbsp;the following components:</p> <p>- The code and data used to perform the modelling that is described in the journal article.&nbsp;</p> <p>- The data outputs&nbsp;that resulted from running the code.</p> <p>- The code used to make figures using these data outputs, which&nbsp;are illustrated&nbsp;in the journal article</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Virtual Sensor Benchmark training - timeseries set 1

<p>Timeseries data in .csv format with semicolon (;) as delimiter.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

SASS-E: The Steelpan Audio Sample Set for Evaluation

<p>SASS-E is an audio dataset containing 13,313 one-hit audio samples from three distinct steelpans.</p> <p><strong>Citation</strong></p> <p>This dataset is part of paper that will be published in the NIME 2023 proceedings in June, 2023. This section will be updated to reflect that citation then.</p> <p><strong>Data curator</strong></p> <p>Colin Malloy</p> <p><strong>Contact</strong></p> <p>You can&nbsp;contact Colin regarding this dataset at malloyc@uvic.ca.</p> <p>&nbsp;</p> <p><strong>About SASS-E</strong></p> <p>The SASS-E dataset is an audio dataset curated as part of Colin&#39;s PhD research. It consists of over 13,000 one-hit audio samples from three&nbsp;tenor steelpans totaling over&nbsp;9&nbsp;hours and 25&nbsp;minutes of audio&nbsp;The samples were recorded in a professional quality recording studio at 48&nbsp;kHz/ 24-bit depth. Approximately 50 strikes were recorded per note per instrument at a wide variety of dynamic levels and beating areas. This allows for comprehensive coverage of minute details and fluctuations in timbre.</p> <p>The audio samples are pre-split into training, validation, and test&nbsp;sets with 7,931 samples in the training set, 2,680 samples&nbsp;in the validation set, and 2,702 samples in the test set.</p> <p>The audio files are have filenames in the following format:&nbsp;&lt;MIDI note number&gt;_&lt;set&gt;_&lt;instrument label&gt;_sample_&lt;number&gt;.wav. They are each labeled with the MIDI note number for the given note struck. The instrument label is in the format &quot;ctenor-0x&quot; where x is the number assigned to the instrument.</p> <p>&nbsp;</p> <p><strong>Future of SASS-E</strong></p> <p>In the future, we plan to add samples from a wider variety of steelpans. The goal is to create a comprehensive dataset that covers all major varieties of steelpans from the soprano to bass voices of the family. This will include other kinds of tenor steelpans (such as low D tenors, Invader tenors, and 3rds/4ths tenors).</p> <p>&nbsp;</p> <p><strong>License</strong></p> <p>All of the samples in SASS-E are released under&nbsp;Creative Commons (CC) CC-BY-NC.&nbsp;This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. Specifically, these samples are not to be used in a commercial&nbsp;sample library (such as a virtual instrument).</p>

opencc-by-nc-4.0Apr 2023View details →
zenodo36/100

Data sets used in Lee et al. (2023)

<p>Model simulations and processed data sets&nbsp;used in&nbsp;Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., Forkel, M., and Koirala, S.: Diagnosing modeling errors of global terrestrial water storage interannual variability, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2022-284, in review, 2022.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Calcium fortification of water during pregnancy for the prevention of preeclampsia in a low-income setting: a cost-effectiveness analysis

<p>This database contains the model and the parameters of the study. It&#39;s is important to highlight that this is the first version of the model, and thus modifications are forthcoming. With the current database, the abstract is the following:</p> <p>Fortification of water with calcium during pregnancy is proposed as a suitable and promising intervention to increase calcium intake and prevent preeclampsia and eclampsia (PE/E). However, the evidence of the cost-effectiveness of this type of intervention is scarce. We conducted a model-based cost-effectiveness analysis to estimate the incremental cost-effectiveness ratio (ICER) of calcium pills and bottled water fortified with calcium, compared to the standard of care (defined as the use of MgSO4 as the standard treatment for PE/E), in the context of Nepal. Outcome measures were years of life gained (YLG) by mothers and newborns and healthcare costs. We considered a lifetime time horizon and health benefits were discounted at 3%. The cost-effectiveness threshold was set at the 2019 Nepal gross domestic product per capita (USD 1071). For calcium pills versus standard of care, ICER was USD 63 per YLG. By switching from calcium pills to bottled water fortified with calcium, the resulting ICER was USD 1702 per YLG. In conclusion, the bottle of water fortified with calcium was found not cost-effective at the defined threshold for Nepal. Complementary economic evidence adapted to other low-and middle income contexts is required to guide novel preventive interventions to improve maternal and child health based on the efficiency principle</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Artifacts for the 2023 Trends in Functional Programming Publication: Versatile and Flexible Modelling of the RISC-V Instruction Set Architecture

<p>This dataset contains the artifacts for the performance evaluation conducted in the publication <em>Versatile and Flexible Modelling of the RISC-V Instruction Set Architecture</em> which will be published in the proceedings of the 2023 <em>Trends in Functional Programming</em> conference. The provided artifacts contain a <a href="https://docker.io">Docker</a> container for executing <a href="https://embench.org">Embench</a> benchmarks with LibRISCV, RISC-V VP, Grift and Forvis. A pre-built version of the container is included.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Historical data set for the Flumendosa case study in Sardinia, Italy.

<p>The files COUT, WTMP, EVAP, CTMP contain the outflow, outflow water temperature, evapotranspiration and corrected air temperature of the sub basins respectively. CCIN, CCON, CCTN, CCTP, CCPP, CCSP, CCSS, CCTS are the concentrations of inorganic ang organic nitrogen; the total nitrogen and phosphorus; &nbsp;the particulate and soluble phosphorus and the suspended and total sediment. CPRC is the corrected precipitation and UPVAP the evapotranspiration from the upstream area of each sub basin.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Data sets for "Updated MS²PIP web server supports cutting-edge proteomics applications"

<p>Data sets and code&nbsp;used to train and evaluate new MS&sup2;PIP models.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Over and Under Sampled Data-sets of Code Issues in Java Open-Source Projects

<p>The dataset comprises code changes made to 15 Java Open-Source projects, classified with sentiment values (0 for negative and 1 for positive) based on developer reviews during various revision submissions. The dataset is available in 8 versions, each containing a sampled dataset using an over or under-sampling technique.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Global reference data set for validating ESA WorldCereal temporary cropland extent

<p>IIASA team has created a new validation data set, which is completely independent from all other existing maps or reference data sets, and which is in line with the cropland definitions and mapping period of the WorldCereal products. To decide if this is an active cropland in each period, the experts looked at very high-resolution Google historical imagery and Google Street level images, Microsoft Bing images, ESRI imagery, Planet historical data, Sentinel-2 time series, and Modis NDVI time series. The experts were asked to label 5 by 5 Sentinel pixels (each pixel 10m by 10m) either as winter crops, or as summer crops, or as maize (if this was possible), or as active crops (where it was not possible to confirm a growing season, e.g. overlap between seasons was too big or crop fields were too small in size), or as no crops, or as not sure where was too little information available for 2021. There was additional question on irrigation system, either circle, or other irrigation, or rainfed, or not sure.&nbsp;&nbsp;</p> <p>Fields:</p> <p>&quot;rowid&quot; -unique row identifier</p> <p>&quot;submissionid&quot; &ndash; unique submission id, which consists of 25 single pixels (rows)</p> <p>&quot;timestamp&quot; &ndash; time stamp of each submission</p> <p>&quot;sampleid&quot; &ndash; unique sample site, which could have a few submission ids</p> <p>&quot;submission_itemid&quot; &ndash; unique single pixel submission id</p> <p>&quot;enhancement&quot; &ndash; unique legend identifier in the Geo-Wiki database</p> <p>&quot;question&quot; &ndash; question asked (either on crop presence or irrigation)</p> <p>&quot;answer&quot; &ndash; answer to a question asked</p> <p>&quot;sub_pixel_x&quot;,&quot;sub_pixel_y&quot; &ndash; centroids of a single pixel in WGS84</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

FIRST PRINCIPLE DESIGN LOAD ESTIMATION FOR LH2 FUEL TANKS BY MEANS OF 0D APPROACH - OMAE Data Set

<p>Supplementary data set for the OMAE publication &quot;FIRST PRINCIPLE DESIGN LOAD ESTIMATION FOR LH2 FUEL TANKS BY MEANS OF 0D APPROACH&quot;. Contains the complete set of data for the presented cases while only selected data series are shown in the paper.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

BIOHARV project INTERREG V - Piezoelectric biobased polymers - Data set n°2

<p>The BIOHARV projet is financed by FEDER, Wallonia Region, West-Vlaanderen Region and Agentshap Innoveren &amp; Ondernemen. BIOHARV project started on 2016, October 1st for 4 years. Six academic &amp; technological partners are gathered (Institute Mines Telecom North Europe, Armines, University of Mons, Centexbel, University of Lille and Polytechnic University Hauts-De-France. The main objective of the BIOHARV project is demonstrate &amp; investigate piezoelectric, electroactive &amp; electromechanical properties of biobased polymers.&nbsp;</p> <p><strong>This dataset includes the physico-cheminal properties for various types of PLA processed by extrusion-MDO (machine-direction orientation) in relation to their shear piezoelectric properties. Various characterization techniques are used such as DSC, (2D-)WAXS, (2D-)SAXS and FTIR (non polarized and polarized). The related article &quot;Shear Piezoelectricity of Poly(L-Lactide) Films Manufactured by Extrusion &ndash; Orientation: An Insight on Process &ndash; Structure &ndash; Properties Relationships&quot; will be published soon.</strong></p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Data set: The opening dynamics of the lateral gate regulates the activity of rhomboid proteases

<p>Dataset:</p> <p><strong>The opening dynamics of the lateral gate regulates the activity of rhomboid proteases</strong></p> <p>Input: MD simulations + docking results</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

<p><strong>General Description</strong></p> <p>The evaluation set for task 5 of DCASE 2023&nbsp;&quot;Few-shot Bioacoustic Event Detection&quot; consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files.&nbsp;</p> <p>The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest.&nbsp;</p> <p>This dataset is to be used for evaluation purposes during the task.</p> <p>&nbsp;</p> <p><strong>Folder structure</strong></p> <p>Audiofiles and annotation files are organized across 3 different zip files:</p> <p><em>Eval_1.zip</em></p> <p>&nbsp; &nbsp; |___CHE23/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp; |___CW/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p><em>Eval_2.zip</em></p> <p>&nbsp; &nbsp; |___MGE/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp; |___MS/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp; |___QU/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp;<em>Eval_3.zip</em></p> <p>&nbsp; &nbsp; |___DC/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp; |___CT/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p>&nbsp; &nbsp; |___CHE/</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.wav</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; |____*.csv</p> <p><em>Annotations_only.zip</em>&nbsp;contains the *.csv files organised in the same subfolders.</p> <p>*The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files.</p> <p>*Note that there can be different target classes within the same subfolder</p> <p>&nbsp;</p> <p><strong>Annotation structure</strong></p> <p>Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ]</p> <p><strong>Development Set</strong></p> <p>The development set for the same task can be found at:&nbsp;<a href="http://doi.org/10.5281/zenodo.4543504">https://doi.org/10.5281/zenodo.6012309</a>.&nbsp;</p> <p><strong>Open Access</strong></p> <p>This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> &nbsp;</p> <p><strong>Contact info</strong></p> <p>Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk</p> <p>or join us on slack:&nbsp;<a href="https://join.slack.com/t/dcase/shared_invite/zt-12zfa5kw0-dD41gVaPU3EZTCAw1mHTCA">task-fewshot-bio-sed</a></p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Data set: genetic variants related to SARS-CoV-2 viremia

<p>Data set generated to evaluate the association between&nbsp;SNPs from genes related to SARS-CoV-2 pathogenesis and the presence of viremia.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Evaluation set DCASE 2023 task 4 (for submissions)

<p>This repo contains the dataset to download to submit results and be evaluated in task 4 of DCASE 2023. It also contains the ground-truth for the public and synthetic evaluation dataset, together with the mapping file between the anonymized (official eval) file names and the files name as presented in the annotations.</p> <p>Please, check the submission package in order to follow the instruction to have a submission.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

D2.1 - Demonstrator baseline and market characteristics report - Consumer survey data set

<p>This is the data set for D2.1 &quot;Demonstrator baseline and market characteristics report&quot; defining the current baseline and the target/improved circular business models for two demonstrators and analyzing both demonstrators&acute; market characteristics and their impact on the target circular business models.</p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

D6.6 - White goods pilot report - LCA Data set

<p>This is the data set used for the LCA of a pay-per-wash washing machine from Gorenje. The LCA compares the pay-per-wash washing machine to a washing machine that is sold in a traditional way.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Data set related to the manuscript "Investigating particle size effects on NMR spectra of ions diffusing in porous carbons through a mesoscopic model"

<p>Graphical files in the agr format for all the figures in the manuscript entitled &quot;Investigating particle size effects on NMR spectra of ions diffusing in porous carbons through a mesoscopic model&quot;. Examples of input files for the lattice simulations are also provided.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Chapter 11 Image set for the book, "Data Science for Nano Image Analysis"

<p>This is the image set used in Chapter 11 of the book, &quot;Data Science for Nano Image Analysis&quot;.</p>

opencc-by-4.0May 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.