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.
1,641
datasets available to search
ShareScore release 0.9.0
Dataset results
1,641 results for “similarity”
Supplementary material 4 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Master data sheet : Explanation note: Spreadsheet file containing information about read abundances of operational taxonomic units (OTUs) and sample metadata. Here, data were prepared for subsequent biodiversity analysis in R.
Supplementary material 1 from: Siddique AB, Khokon AM, Unterseher M (2017) What do we learn from cultures in the omics age? High-throughput sequencing and cultivation of leaf-inhabiting endophytes from beech (Fagus sylvatica L.) revealed complementary community composition but similar correlations with local habitat conditions. MycoKeys 20: 1-16. https://doi.org/10.3897/mycokeys.20.11265
Bioinformatics pipeline : Explanation note: This file provides all steps and commands necessary for quality filtering and demultiplexing of raw paired fastq sequences.
FIGURE 7. Theretra species similar T in A new species of Theretra Hübner (Lepidoptera: Sphingidae) from the southern Western Ghats, India
FIGURE 7. Theretra species similar T. shendurneensis sp. nov. a: Theretra rhesus, male, BMNH(E)#274965. North Korintji Valley, Sumatra, Indonesia. b: Theretra boisduvalii, female, BMNH(E)#274961. Bukit Larut, (formerly Maxwell's [Hill], Lt. Cottage), Taiping, Perak, Malaysia. c: Theretra sumatrensis, male, NCBS-PW607. Mawkisyiem, East Khasi, Meghalaya, India. d: Theretra shendurneensis sp. nov., holotype male, NCBS-QA070, Pandimotta, Kollam, Kerala, India. Upperside (left) and underside (right) of each specimen are illustrated.
Fig. 3. The genetic relatedness matrix summarising similarities and differences among the 90 in Morphological and molecular evidence refute a broad circumscription for Pultenaea glabra (Fabaceae: Mirbelieae), with implications for taxonomy, biogeography, and conservation
Fig. 3. The genetic relatedness matrix summarising similarities and differences among the 90 individuals included in the final, filtered dataset containing 2452 SNPs.
ZINC15 for Drug Similarity Search
<p><strong>Abstract:</strong> This dataset is a subset of the ZINC15 database, specifically filtered and processed for molecular similarity search applications using MegaMolBART embeddings. The subset focuses on drug-like molecules with specific physicochemical and purchasability properties.</p> <p><strong>Keywords:</strong> ZINC15, Molecular Similarity Search, MegaMolBART, Drug Discovery, Cheminformatics.</p> <p><strong>Background:</strong> The ZINC15 database is a comprehensive collection of commercially available compounds for virtual screening. This subset was created to facilitate the development of machine learning models for drug discovery, particularly those based on molecular embeddings.</p> <p><strong>Methodology:</strong> The ZINC15 database was queried using the following criteria:</p> <ul> <li>Molecular weight <= 500 Daltons</li> <li>LogP <= 5</li> <li>Reactivity level = "reactive"</li> <li>Purchasability = "annotated" </li> </ul> <p>The resulting dataset was then processed to extract MegaMolBART embeddings for each molecule.</p> <p><strong>Data Description:</strong> </p> <p>The dataset is organized into three folders:</p> <ul> <li><code><strong>/data/project/ubrite/drg-depot/zinc15-similarity-search/raw-data/</strong></code> (66 GB): This folder contains the raw data files obtained from the ZINC15 database after applying the filtering criteria.</li> <li><code><strong>/data/project/ubrite/drg-depot/zinc15-similarity-search/processed-data/</strong></code> (13 GB): This folder contains the processed data, including the extracted MegaMolBART embeddings for each molecule. </li> <li><code><strong>/data/project/ubrite/drg-depot/zinc15-similarity-search/query/</strong></code>: This folder contains sample SMILES strings and their corresponding embeddings for performing similarity searches.</li> </ul> <p><strong>Technical Specifications:</strong> </p> <ul> <li><strong>Format:</strong> SMILES strings, numerical data (embeddings)</li> <li><strong>Size:</strong> 79 GB (total)</li> <li><strong>License:</strong> This dataset is derived from the ZINC15 database and processed using MegaMolBART. It is subject to the licenses of both the ZINC15 database and the MegaMolBART model. <ul> <li>ZINC15 Database: ZINC15 data is made available under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. For more information, please visit the ZINC15 website.</li> <li>MegaMolBART: The MegaMolBART model and its associated data are copyrighted by AstraZeneca and NVIDIA. The usage of MegaMolBART is subject to the terms and conditions specified by the copyright holders.</li> </ul> </li> </ul> <p>By using this dataset, you agree to comply with the licenses and conditions imposed by the ZINC15 database and MegaMolBART.</p> <p><strong>Access and Usage:</strong> </p> <p>The dataset is available for download through Zenodo. Users are encouraged to acknowledge this dataset and the corresponding Zenodo entry in any publications or research projects that utilize the data. </p> <p><strong>Contact:</strong> Fuad Al Abir, fuad021@uab.edu</p>
FIGURES 76−82 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 76−82. Dacus (Mellesis) maculipterus White. 76, head; 77, scutum (dorsal view); 78, thorax (lateral view); 79, wing; 80, epandrium and surstyli (lateral view); 81, epandrium and surstyli (posterior view); 82, glans of phallus.
FIGURES 56−57 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 56−57. Dacus venkateshi Abhishek & David, sp.nov. 56, dorsal habitus; 57, lateral habitus.
FIGURES 48−55 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 48−55. Dacus (Mellesis) nagarathnae Abhishek, David & Hancock, sp. nov. 48, head; 49, scutum (dorsal view); 50, thorax (lateral view); 51, abdomen; 52, wing; 53, epandrium and surstyli (lateral view); 54, epandrium and surstyli (posterior view); 55, glans of phallus.
FIGURES 19−27 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 19−27. Thorax (lateral view) of Tephritidae. 19, D. ciliatus Loew; 20, D. discophorus (Hering); 21, D. jacobi David & Sachin; 22, D. longicornis (Wiedemann); 23, D. persicus Hendel; 24, D. polistiformis (Senior-White); 25, D. ramanii Drew & Hancock; 26, D. sphaeroidalis (Bezzi); 27, D. viraktamathi David & Hancock.
FIGURES 10−18 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 10−18. Thorax (dorsal view) of Tephritidae. 10, D. ciliatus Loew; 11, D. discophorus (Hering); 12, D. jacobi David & Sachin; 13, D. longicornis (Wiedemann); 14, D. persicus Hendel; 15, D. polistiformis (Senior-White); 16, D. ramanii Drew & Hancock; 17, D. sphaeroidalis (Bezzi); 18, D. viraktamathi David & Hancock.
FIGURES 46−47 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 46−47. Dacus nagarathnae Abhishek, David & Hancock, sp.nov. 46, dorsal habitus; 47, lateral habitus.
FIGURES 1–9 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 1–9. Heads of Tephritidae. 1, D. ciliatus Loew; 2, D. discophorus (Hering); 3, D. jacobi David & Sachin; 4, D. longicornis (Wiedemann); 5, D. persicus Hendel; 6, D. polistiformis (Senior-White); 7, D. ramanii Drew & Hancock; 8, D. sphaeroidalis (Bezzi); 9, D. viraktamathi David & Hancock.
FIGURES 36−45 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 36−45. Wings of Tephritidae. 36, D. ciliatus Loew; 37, D. discophorus (Hering); 38, D. jacobi David & Sachin; 39, D. longicornis (Wiedemann); 40, D. persicus Hendel; 41, D. polistiformis (Senior-White); 42, D. ramanii Drew & Hancock; 43, D. sphaeroidalis (Bezzi); 44, D. vijaysegarani Drew & Hancock; 45, D. viraktamathi David & Hancock.
FIGURES 28−35 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 28−35. Abdomen of Tephritidae. 28, D. ciliatus Loew; 29, D. discophorus (Hering); 30, D. jacobi David & Sachin; 31, D. longicornis (Wiedemann); 32, D. persicus Hendel; 33, D. polistiformis (Senior-White); 34, D. ramanii Drew & Hancock; 35 D. sphaeroidalis (Bezzi).
FIGURES 68−75 in New Indian species of Dacus Fabricius (Diptera: Tephritidae: Dacinae: Dacini) similar to Dacus crabroniformis (Bezzi), endemic to the Western Ghats and Northeastern Himalayas
FIGURES 68−75. Dacus (Mellesis) crabroniformis (Bezzi). 68, head; 69, scutum (dorsal view); 70, thorax (lateral view); 71, abdomen; 72, wing; 73, epandrium and surstyli (lateral view); 74, epandrium and surstyli (posterior view); 75, glans of phallus.
Abundance Trend Indicator - Models, Prediction, Stacked Environmental Data and Training Set Similarity
<p># Readme</p> <p>These trained models can be used to predict the abundance trends of New Zealand's forest species and can be used together with the code in https://github.com/lnilya/abundance-trend-indicator</p> <p>Since the process of using the models requires coding expertise and some setting up, please make sure to reach out to ilya.shabanov@vuw.ac.nz for any questions. All files will require the code in the repository to be read and used. </p> <p>If you want to explore the results generated with these models, please visit https://ati-nz-predictions-7e6f3d514735.herokuapp.com/ for a user-friendly, interactive UI.</p> <p>## Contents</p> <p>_models: Contains the trained models (Artificial Neural Network (ANN), Random Forest (RF), SVMW (Support vector machine) and GLM (logistic regression)) at different degrees of noise filtering, different datasets and variable sets. The model files also contain test and training scores. To load the files please refer to the readme in the code repository: ttps://github.com/lnilya/abundance-trend-indicator</p> <p><br>_predictions/_environment: Contains the predictor variables for the study area (New Zealand, 1950-2019) that are needed by the models to make predictions. </p> <p>_predictions/_similarity: Contains the masks of areas that can be predicted by models and are similar to the training set.</p> <p>_predictions/_ati: Contain the predicted results for the abundance trend. These can be explored on https://ati-nz-predictions-7e6f3d514735.herokuapp.com/ </p> <p> </p>
Accompanying Files for "M/K-Dwarf Exoplanets With Similar Sizes and Instellations to Earth Typically Follow Near-Circular Orbits"
<p>=== gammaposteriors.tar.gz ===</p> <p>Each file (in the tarball) is named after the corresponding planetary object. The file contains samples drawn from the a-posteriori distribution of rho_{*,transit}/rho_{*,independent}. This ratio is referred to as gamma in the paper.</p> <p>=== stellarposteriors.tar.gz ===</p> <p>Each file contains the joint posterior distribution for the fundamental stellar parameters. The columns are:</p> <p>Mass (Solar masses), Radius (Solar radii), Density (kg/m^3)</p> <p>=== transittimes.tar.gz ===</p> <p>A pair of files are produced for each KOI/TOI, named appropriately. The pdf figure is a summary figure showing the TTV data with errors (black), along with the best fitting sinusoidal model in brown. We also report the FAP (false alarm probability) of that signal, the associated TTV period and amplitude as annotations on the figure. We also provide the actual transit times for each epoch, in the files *times.dat, using the columns...</p> <p>Epoch, Transit Time (BJD_UTC - 2,457,000), Error, TTV (mins), Error (mins)</p> <p>=== lightcurves.tar.gz ===</p> <p>Each file contains a detrended light curve, detrended using the method marginalisation process described in the paper. The columns are:</p> <p>Time (BJD_UTC - 2,400,000*)<br>Relative Intensity<br>Uncertainty</p> <p>For the TOIs, we include a fourth column which is the CROWDSAP value.</p> <p>* For TOIs, this becomes 2,457,000</p> <p>=== hbms -> *.tar.gz ===</p> <p>Each tarball contains samples drawn from the a-posteriori joint distribution of the Hierarchical Bayesian Model (HBM) fits. Each tarball is a distinct model, and thus HBM:</p> <p>exp.tar.gz - exponential distribution<br>beta.tar.gz - Beta distribution<br>rayleigh.tar.gz - Rayleigh distribution<br>tremaine.tar.gz - Tremaine distribution<br>exp_without4087.tar.gz - exponential distribution excluding KOI-4087.01<br>beta_without4087.tar.gz - Beta distribution excluding KOI-4087.01<br>exp_without4087_fake_0p0.tar.gz - exponential distribution excluding KOI-4087.01, but applied to fake data where e=0.0</p> <p>There are two types of files in each container.</p> <p>popchain_*.dat contains posterior samples of the population/hyper-parameters.<br>hkplate_*.dat contains posterior samples of the population/hyper-parameters.</p> <p>There are 20 walkers for each file type, labelled 1-20 at the suffix of the file. The columns in each file are organised as follows...</p> <p>popchain_exp*.dat<br>mu_e, var_e, loglike<br>popchain_rayl*.dat<br>mu_e, var_e, loglike<br>popchain_trem*.dat<br>mu_e, var_e, loglike<br>popchain_beta*.dat<br>mu_e, var_e, alpha, beta, loglike</p> <p>hkplatechain_*.dat<br>h'_1, k'_1, h'_2, k'_2,...</p>
Raman data for "Similar controls on calcification under ocean acidification across unrelated coral reef taxa"
<p>This file contains the Raman data and code for "Similar controls on calcification under ocean acidification across unrelated coral reef taxa" by Comeau et al. in Global Change Biology. Run the file, "run.R" in R to reproduce the analysis.</p> <p>Please see the published paper for methods and details: https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.14379</p>
Text-fig. 16. Metric comparisons of upper and lower fourth premolars and third molars of Hippopotamodon erymanthius from Mahmutgazi (open squares) and Akkaşdaği (dots), Turkey. The two samples are metrically closely similar. in Hippopotamodon erymanthius (Suidae, Mammalia) from Mahmutgazi, Denizli-Çal basin, Turkey
Text-fig. 16. Metric comparisons of upper and lower fourth premolars and third molars of Hippopotamodon erymanthius from Mahmutgazi (open squares) and Akkaşdaği (dots), Turkey. The two samples are metrically closely similar.
FIGURE 5. A in A new species of Velarifictorus Randell, 1964 (Orthoptera: Gryllidae: Gryllnae Modicoryllini) bearing similarities to the Landrevinae from China
FIGURE 5. A calling song phrase of V. landrevus. A. oscillogram (amplitude versus time); B. mean amplitude specturum (frequency versus amplitude); C. spectrogram (frequency versus time).
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.