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814 results for “formula”

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edi52/100

North Temperate Lakes LTER Zooplankton conversion formulas length to biomass

Formulas for calculating zooplankton biomass based on measured length for species encountered in NTL's northern lakes. Formulas are either based on literature reports or measurements in particular research lakes. The mass unit in the formula is micrograms.

openCC (other)Apr 2024View details →
zenodo48/100

LaTeX formulae from English Wikipedia

<p>Public dump of LaTeX (texvc) input used in English Wikipedia</p> <p>Initially appeared in the public in the following form</p> <p>https://archive.softwareheritage.org/swh:1:cnt:da76ae5a988839894a2ecdab29a5ab7c8df7dc80;origin=https://github.com/wikimedia/mediawiki-services-texvcjs;visit=swh:1:snp:1ea38f5e961b25c6d0adde0145f64791eb8fb67d;anchor=swh:1:rev:101925e2ab1712c70472ed144efaea34743e6700;path=/test/en-wiki-formulae.json</p> <p>with the current 2024-11-23 results of the normalized output.</p> <p>The JSON files store the data in the following form</p> <pre><code>key=&gt;Tex</code></pre>

opencc-by-4.0Nov 2014View details →
zenodo44/100

Satdhārā सतधारा (Raisen district, Madhya Pradesh). Rock-shelter painting showing a stūpa with ye dharmā formula.

<p>Satdhārā सतधारा (Raisen district, Madhya Pradesh). Rock-shelter painting showing a stūpa with <em>ye dharmā </em>formula.</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Bihār. Seated Buddha, rear face with stūpa and ye dharmā formula.

<p>Bihār (site not recorded). Seated Buddha on a lotus pedestal against a decorated throne-back surmounted by a halo, giving his First Sermon; the wheel and deer below him flanked by monks; on the back an engraved <em>stūpa</em> with <em>ye dharmā</em> formula, <em>circa</em> eighth century (Height: 33 centimetres). Purchased of <a href="https://research.britishmuseum.org/system_pages/beta_collection_introduction/beta_collection_search_results.aspx?people=200978&amp;peoA=200978-3-17">Robert Montgomery Martin </a>by the British Museum and registered as 1854, 0214.1.</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Formula 1 resultados historicos de las carreras hasta la fecha de publicación

<p>Este conjunto de datos se ha realizado mediante el uso de webscraping, y llega hasta la fecha de publicaci&oacute;n.&nbsp;Contiene los datos b&aacute;sicos de finalizaci&oacute;n de cada una de las carreras de F&oacute;rmula 1 desde 1950 hasta hoy en d&iacute;a.</p> <p>El uso de la informaci&oacute;n debe atenerse a los requisitos expuestos en la web original del proveedor de datos, <a href="http://www.formula1.com">www.formula1.com</a>.</p> <p>Los terminos legales pueden ser consultados en&nbsp;<strong><a href="https://www.formula1.com/en/toolbar/legal-notices.html">https://www.formula1.com/en/toolbar/legal-notices.html</a></strong></p> <p>Esta extracci&oacute;n se ha realizado con fines educativos.</p>

opencc-by-2.0Nov 2020View details →
zenodo44/100

R Code and Re-analyzed Datasets for: Robust approaches for the quantitative analysis of genome formula variation in multipartite and segmented viruses

<p>This submission includes all the scripts and data analyzed in the manuscript "Robust approaches for the quantitative analysis of genome formula variation in multipartite and segmented viruses". This manuscript is a technical note on how genome formula data can be analyzed. There are no new experimental data in the manuscript, as published datasets are re-analyzed. Here we reproduce those datasets as formatted for our analysis, for the convenience of the reader. Please consult the README.txt file first.</p> <p>The corresponding paper was published in Viruses <em>16</em>(2): 270. (<a href="https://doi.org/10.3390/v16020270">https://doi.org/10.3390/v16020270</a>).</p> <p>This is the second version of the code, corresponding to the final version of the paper. The intial restricted version for review had a DOI 10.5281/zenodo.10355273.</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2024View details →
zenodo44/100

Memecry:Tracing the Repetition-with-Variation of Formulas on 4chan/pol/

<p>Datasets underlying the analysis of the paper &quot;Memecry: Tracing the Repetition-with-Variation of Formulas on 4chan/pol/</p> <p>This upload includes the following:</p> <ul> <li><strong>seedwords.csv: </strong>A .csv file with terms we used as a seed list to filter for 4chan/pol/-post containing vernacular.</li> <li><strong>seedword-network_x.gdf/gephi: </strong>.gdf and .gephi network files for NPMI-weighted co-word networks of /pol/-posts. We only included posts that contained one of the aforementioned seed list words.</li> <li><strong>twoflow-data_x.xlsx: </strong>.xlsx files with data on triplets common to 4chan/pol/. We identified these three-word sequences through the above network files. For example: &quot;gr8 b8 m8&quot;, &quot;orange man bad&quot;, &quot;lurk moar newfag&quot;. The Excel data on these triplet includes: <ul> <li>The absolute amount of /pol/-posts per year mentioning the triplets (within a window of five words).</li> <li>The average NPMI scores between the three triplet words per year.</li> <li>The top co-words per year having an average NPMI higher than 0.18 with <em>two of the three</em> triplet words.</li> </ul> </li> <li><strong>triplets.csv</strong>: A .csv file with the extracted triplets, including their common appearance as memetic phrases and a short explanation.</li> </ul> <p>This data was used for &quot;two-flow graphs&quot; available at <a href="http://oilab.eu/formulas/">oilab.eu/formulas/</a>.</p> <p>See the paper for full explanations on the data.</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

Participant survey for the article: More than Formulas - Integrity, Communication, Computing and Reproducibility in Statistics Education

<p>The artcile More than Formulas - Integrity, Communication, Computing and Reproducibility in Statistics Education concerns the introduction of a new course format in the Master Program in Biostatistics at the University of Zurich. This data set contains the results fo a survey among the participants in this new course.</p> <p>Sepcifically it contains the answers of 22 participants to the following questions:</p> <p>1) Did you use the following concepts or tools since you took STA472?&nbsp;<br>Good practice for...</p> <p>... spreadsheets<br>... file and folder organization<br>... version control<br>... dynamic reporting<br>... LaTeX<br>... presentation slide design&nbsp;<br>... oral presentations<br>... designing graphs<br>... designing tables<br>... structure for manuscript<br>... logic of a paragraph<br>... writing style<br>... writing R functions<br>... using unit tests<br>... setting up simulations<br>... code styling<br>... writing vectorized code<br>... writing parallelized code<br>... containerizing code</p> <p>Answers are in the scale: never since, rarely, sometimes, often, frequently, I do not know</p> <p>2) If you used the above concepts at least rarely, did the training of STA472 help you?</p> <p>Good paractice for...</p> <p>... spreadsheets<br>... file and folder organization<br>... version control<br>... dynamic reporting<br>... LaTeX<br>... presentation slide design&nbsp;<br>... oral presentations<br>... designing graphs<br>... designing tables<br>... structure for manuscript<br>... logic of a paragraph<br>... writing style<br>... writing R functions<br>... using unit tests<br>... setting up simulations<br>... code styling<br>... writing vectorized code<br>... writing parallelized code<br>... containerizing code</p> <p>Answers are in the scale: Not really &nbsp; Somewhat &nbsp;Definitively &nbsp; I do not know I do not use this concept</p>

opencc-by-4.0Jul 2024View details →
zenodo44/100

A collection of molecular formula databases for HERMES

<p>A compilation of different molecule databases ready to be used in <a href="https://www.biorxiv.org/content/10.1101/2021.03.08.434466v1">HERMES</a>. We have compiled different open-access&nbsp;DBs and adapted their format to the HERMES requisite columns. Since all databases share the &quot;Name&quot; and &quot;MolecularFormula&quot; columns, merges between databases can be easily generated.</p> <p>More databases and merges will be added in the future. If you have any suggestions or want to contribute, feel free to contact&nbsp;us!</p> <p>All rights reserved to the original authors of the databases.</p> <p>Description of the files:</p> <ul> <li>ECMDB.csv: Entries from&nbsp;<a href="https://ecmdb.ca/"><em>E. coli</em> Metabolome Database</a>. 3760 compounds.</li> <li>Merge_KEGG_ECMDB.csv: a merge between all metabolites from <a href="https://www.genome.jp/kegg/pathway.html">KEGG pathways</a> associated to E.coli K12 with the ECMDB.csv from above. 6107 compounds.</li> <li>Merge_LipidMaps_LipidBlast.csv: a merge between lipid entities from <a href="https://www.lipidmaps.org/resources/databases/index.php">LipidMaps</a>&nbsp;LMSD and the metadata (just Name and Molecular Formula) of <a href="https://fiehnlab.ucdavis.edu/projects/LipidBlast">LipidBlast</a>&nbsp;entries. 163453 compounds.</li> <li>norman.xls: Entries from <a href="https://www.norman-network.com/nds/susdat/susdatSearchShow.php">NORMAN SusDat</a>, containing common and emerging drugs, pollutants, etc. 52019 compounds.</li> <li>PubChemLite_31Oct2020.csv Adapted column names from&nbsp;<a href="https://zenodo.org/record/4183801">https://zenodo.org/record/4183801</a>.&nbsp;371,663 compounds related to exposomics.</li> <li>MS1_2ID.csv. Merge of HMDB, ChEBI and NORMAN compounds. 183911 compounds related to Human Metabolism, drugs, etc..</li> <li>COCONUT_NP.csv: parsed collection of entries from the COlleCtion of Open Natural ProdUcTs (<a href="https://coconut.naturalproducts.net/">COCONUT</a>).406752&nbsp;compounds.</li> <li>DiTriPeptides.csv: a list of all theoretically possible dipeptides&nbsp;(400) and tripeptides (8000) and their associated molecular formulas. 8400 compounds.</li> </ul>

opencc-by-4.0Jun 2021View details →
zenodo44/100

Data file supporting The congruence speed formula

<p>Data file showing the direct computation of hundreds of thousands values of the constant congruence speed of the base <span class="math-tex">\(a : a \not\equiv 0 \pmod {10}\)</span> in radix-<span class="math-tex">\(10\)</span>, confirming the inverse map provided by the paper entitled <a href="https://arxiv.org/abs/2208.02622">The congruence speed formula</a>.</p> <pre> &nbsp;</pre>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data and MATLAB Code for the paper entitled "A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow"

<p>This link includes&nbsp;the data and MATLAB code files for the research paper entitled &quot;A modified Chezy formula for one-dimensional unsteady frictional resistance in open channel flow&quot; by Zhou, J.W.; Bro, W.M.; Tick*, G.R.; Mofatakari, H.; Li, Y.; and Cheng, L., which has been submitted to the Journal of Fluids Engineering. These files are edited under the GB18030 character set standard.</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

HERMES: a molecular formula-oriented method to target the metabolome - Dataset

<p>This dataset contains all raw LC-MS1 and LC-MS2 data from river&nbsp;<em>s</em>urface water,&nbsp;<em>Escherichia coli, </em> and human plasma used in the paper&nbsp;<em>HERMES: a molecular formula-oriented method to target the metabolome,&nbsp;</em>as well as the RMarkdown vignettes generating the results and base figures.</p> <p>Please refer to the README file for more information about the data organization&nbsp;and script reproducibility.</p> <p>A collection of ready-to-use molecular formula databases can be found&nbsp;<a href="https://zenodo.org/record/5025560">in this Zenodo dataset.</a></p>

opencc-by-4.0Apr 2021View details →
dryad40/100

Phalangeal Formula of Lepidosauria

<p>Evolutionary tempo and mode summarize ancient and controversial subjects of theoretical biology such as gradualism, convergence, contingence, trends, and entrenchment. We employed an integrative methodological approach to explore the evolutionary tempo and mode of Lepidosaurian Phalangeal Formulae (PFs). This approach involves quantifying the frequencies of morphological changes along an evolutionary trajectory (ET). The five meristic characters encoded by PFs are particularly valuable in revealing evolutionary patterns, owing to their discrete nature and extensive documentation in the literature. Based on a pre-existing dataset of PFs from 649 taxa (35 Lepidosauria families, including fossils), from which there exists a unique repertoire of 53 formulations, our approach simultaneously considers phenetic and phylogenetic data. This culminates in a diagram accounting for the phylogenetic dynamic of evolution traversing across different regions of morphospace. The method involves enumerating phenotypical options, reconstructing phenotypes across the phylogeny, projecting phenotypes onto a morphospace, and constructing a flow network from the frequency of evolutionary transitions between unique phenotypic conditions. This approach links Markovian chains and evolutionary trajectories to formally define parameters that describe the underlying transitions of morphological change. Among other results, we found that: (i) PF evolution exhibits a clear trend toward reduction in the phalangeal count, and that (ii) evolutionary change tends to occur significantly between morphologically similar PFs. Notwithstanding, although minor but not trivial, transitions between distant formulas jumps occur. Our results support a pluralistic view including stasis, gradualism, and saltationism discriminating their prevalence in a target character evolution.</p>

opencc-zeroNov 2023View details →
zenodo40/100

Optimizing parametric factors in CIELAB and CIEDE2000 color-difference formulas for 3D printed spherical objects

<p>Forty-five spherical samples were&nbsp;printed using a&nbsp;Stratasys J750 3D color printer, and 82 pairs of 3D samples&nbsp;were produced to investigate the&nbsp;human color perception of the lightness, chroma and hue differences of 3D spherical objects, and to optimize the current CIELAB and CIEDE2000 color-difference formulas. This&nbsp;file contains the CIELAB values of the 45 spherical samples and the calculated colour differences as well as visual colour-difference data of 82 pairs of 3D samples. Optimizations of parametric factors in CIELAB and CIEDE2000 colour-difference formulas were performed based on the colour-difference data provided.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Fig. 6 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae

Fig. 6 — Comparison of estimated longshore current velocity using modified equations with the measured current at C1

opencc-by-4.0Nov 2022View details →
zenodo40/100

Fig. 3 in Longshore currents on a meso-tidal beach of Goa, India - Measurements and improved formulae

Fig. 3 — Alongshore varying significant wave height and mean wave period observed at surfzone of Candolim vs off Goa

opencc-by-4.0Nov 2022View details →
zenodo40/100

Dataset: Formula One Group (FWONK) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo40/100

Dataset: Formula Systems (1985) Ltd. (FORTY) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo40/100

РИС. 3. Графики Зависимости: А – Ширины (D) и В – фронтальной кривиЗны (D/L) раковины Corbicula fluminea от длины (L). В качестве Зависимых переменных (y) в формулах укаЗаны Ширина (D) и фронтальнаЯ кривиЗна раковины (D/L). FIG. 3. Graphs of correlations between (A) width (D), (B) frontal curvature (H/L) and the shell length (L) of Corbicula fluminea. The formulas include shell width (D) and frontal curvature (D/L) as dependent variables (y). in Особенности аллометрического роста двустворчатого моллюска-вселенца Corbicula fluminea (Bivalvia: Cyrenidae) иЗ бассейна реки Дон

РИС. 3. Графики Зависимости: А – Ширины (D) и В – фронтальной кривиЗны (D/L) раковины Corbicula fluminea от длины (L). В качестве Зависимых переменных (y) в формулах укаЗаны Ширина (D) и фронтальнаЯ кривиЗна раковины (D/L). FIG. 3. Graphs of correlations between (A) width (D), (B) frontal curvature (H/L) and the shell length (L) of Corbicula fluminea. The formulas include shell width (D) and frontal curvature (D/L) as dependent variables (y).

opencc-by-4.0Oct 2023View details →
zenodo40/100

Formulas for calculating food self-sufficiency ratios in previous studies and author comments

<p><span>The<strong> food self-sufficiency ratio of each country</strong> is obtained by dividing the amount of food production by the amount of food supply, but this is not the only way to calculate the food self-sufficiency ratio. Before starting the calculation, issues such as the food to be calculated, the unit of measurement of food and its data source, and the calculation method for primary and secondary products must be resolved. We summarized how major previous studies have addressed this issue.<strong> The author of this document selected 20 studies that contain specific descriptions from previous studies on this issue</strong>. The author then added comments to all previous studies. The main comment was that although <strong>the formula for calculating the food self-sufficiency ratio of each country is incomplete</strong>, there is a large amount of valid previous research that contains many suggestions.</span></p>

opencc-zeroAug 2024View details →

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

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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