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.
318
datasets available to search
ShareScore release 0.7.1
Dataset results
318 results for “Data mining”
Dataset and Data treatment for Data mining Raman Microspectroscopic Responses of Cells to Drugs in Vitro using Multivariate Curve Resolution-Alternating Least Squares
<p><strong>Matlab scripts for the simulation and treatment of Raman datasets obtained from time dependent experiments Using MCR-ALS.</strong></p> <p> </p> <p><strong>- SIMULATED DATA: </strong>Simulated data is obtained by adding spectra of artificially generated responses (weighted considering artificially generated time profiles) to an experimental cell spectrum (Initial component) Three Different Scenarios are generated. </p> <p>Spectral and time profiles are obtained from here: </p> <p> </p> <p><strong>- EXPERIMENTAL DATA: </strong>DOX dataset obtained from here</p> <p>https://doi.org/10.1002/jbio.201800328</p> <p> </p> <p> </p> <p><strong>- DATA ANALYSIS INSTRUCTIONS</strong></p> <p>Run <em>datatreatment.m</em></p>
Supplementary dataset for SRL Data Mine article
<p>Supplementary dataset for SRL Data Mine article by Milliner & Donnellan (2019). Titled: <em>Using Daily Observations from Planet Labs Satellite Imagery to Separate the Surface Deformation Between the July 4<sup>th </sup>M<sub>w</sub> 6.4 Foreshock and July 5<sup>th </sup>M<sub>w</sub> 7.1 Mainshock During the 2019 Ridgecrest Earthquake Sequence.</em></p>
Figure 2. a in Geographical variation in morphometry, craniometry, and diet of a mammalian species (Stone marten, Martes foina) using data mining
Figure 2. a) Silhouette measure for body size data. b) Silhouette measure for craniometrical data. c) Silhouette measure for dietary data.
Figure 3. a in Geographical variation in morphometry, craniometry, and diet of a mammalian species (Stone marten, Martes foina) using data mining
Figure 3. a) Cluster sizes for body size data. b) Cluster sizes for craniometrical data. c) Cluster sizes for dietary data.
Appendix for Review Paper Entitled: "A literature review of "lawful" text and data mining."
<p>This appendix complements the review paper entitled ““A literature review of “lawful” text and data mining” with 8 Tables highlighting which scholarly works were used for each section of the literature review, but also how those works were used.</p>
Linked collectors and determiners for: New species of leaf-mining Nepticulidae (Lepidoptera) from the Neotropical and Ando-Patagonian regions, with new data on host plants.
Natural history specimen data linked to collectors and determiners held within, "New species of leaf-mining Nepticulidae (Lepidoptera) from the Neotropical and Ando-Patagonian regions, with new data on host plants". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b608c682-28c8-4184-8e7a-52bf598d2e94">https://bionomia.net/dataset/b608c682-28c8-4184-8e7a-52bf598d2e94</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b608c682-28c8-4184-8e7a-52bf598d2e94">https://gbif.org/dataset/b608c682-28c8-4184-8e7a-52bf598d2e94</a>. Formatted as a Frictionless Data package.
Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota
<p>This repository contains all EX4484-6 MAGs and additional raw data files used to create main figures and supplementary figures of the project: "Extensive data mining uncovers novel diversity among members of the rare biosphere within the Thermoplasmatota" (https://github.com/Microbial-Ecophysiology/EX4484-6_data_mining).<br><br><br></p>
CNN weight data for "Model identification of neural encoding (MINE)" publication - Set 2
<p>This dataset contains the weights of fit CNN models generated during the analysis of the zebrafish thermoregulation dataset and the Musall et al. mouse dataset processed by MINE. This set contains the last fish and the mouse MINE model weights. The other 24 fish are contained in Set 1.</p>
CNN weight data for "Model identification of neural encoding (MINE)" publication - Set 1
<p>This dataset contains the weights of fit CNN models generated during the analysis of the zebrafish thermoregulation dataset processed by MINE. This set contains 24/25 fish. The last fish and mouse MINE model weights are contained in Set 2.</p>
Data mining and sentiment analysis on Twitter and Facebook
<p>Les données récoltées sont sur le sujet "Data mining and sentiment analysis on Twitter and Facebook". Ce jeu de donnée contient la liste des attributs principaux suivants :</p> <ul> <li>titles, titre du fichier PDF,</li> <li>authors, auteurs du fichier PDF,</li> <li>years, année de création du fichier PDF,</li> <li>ncitedby, nombre de citation,</li> <li>linkfiles, liens du fichier PDF,</li> </ul> <p>mais également des métadonnées. </p> <p>La récupération du jeu de données a été récolté sur Google Scholar. Plusieurs recherches sur Google Scholar ont été faites pour ce dernier (voir liens ci-dessous) :</p> <ul> <li>https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=twitter+data+mining+filetype%3Apdf&btnG=</li> <li>https://scholar.google.com/scholar?start=490&q=facebook+data+mining+-Twitter+filetype:pdf&hl=en&as_sdt=0,5</li> <li>https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=seniment+analyse+twitter+filetype%3Apdf&btnG=</li> </ul>
Data from Pollinator effectiveness and importance between female and male mining bee (Andrena)
Open the record for dataset details and reuse information.
Data from: Plant traits regulated metal(loid)s in dominant herbs in an antimony mining area of the Karst Zone, China
Open the record for dataset details and reuse information.
Data and code from: Engineering bacteriophages through deep mining of metagenomic motifs
Open the record for dataset details and reuse information.
Data from: Leveraging data mining, active learning, and domain adaptation for efficient discovery of advanced oxygen evolution electrocatalysts
Open the record for dataset details and reuse information.
Data from: Pollination efficiency and effectiveness of a male mining bee (Andrena)
Open the record for dataset details and reuse information.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: I - Basal area increment and d13C
This dataset contiains basal area increment (BAI) and d13C chronologies of 47 aspen cored in 2016 across four sites where leaf mining has been documented since 2004. Chronologies of BAI extend as far back as 1957 and up to 2015. Tree ring d13C chronologies extend from 2004-2015 and were measured on 23 trees from two fo the four sites.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: II - Tree DBH and age
This dataset contiains tree level measurements of diameter at breast height (DBH) and age of aspen that were sampled in 2015 for tree ring anlyses. The tree ages provided are the age of the tree in 2015.
Data and Python script for article "A text mining analysis of the climate change literature in industrial ecology'
<p>The data and Python script are part of the forum article "A text mining analysis of the climate change literature in industrial ecology" authored by Dayeen, F.R., Sharma, A.S., and Derrible, S., and published in the <em>Journal of Industrial Ecology</em> in 2020.</p> <p>The Python script and instructions are included in the LiTCoF_v1.00-py.zip file. The original data is available in two formats: .csv and .pkl.</p> <p>Updates of the script will be posted at https://github.com/csunlab/LiTCoF and at https://csun.uic.edu/codes/LiTCoF.html. The data is also available at https://csun.uic.edu/datasets.html#AbstractsIE.</p> <p>Feel free to contact any of the authors for information and questions about the data and code.</p>
Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining
<p>Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classify cancers. Recently, a morphology-based classification framework for evaluating NENs from different anatomic sites was proposed by experts, with the requirement of improved molecular data integration. Here, we compiled 378 miRNA expression profiles to examine NEN classification through comprehensive miRNA profiling and data mining. Following data preprocessing, our final study cohort included 221 NEN and 114 non-NEN samples, representing 15 NEN pathological types and five site-matched non-NEN control groups. Unsupervised hierarchical clustering of miRNA expression profiles clearly separated NENs from non-NENs. Comparative analyses showed that miR-375 and miR-7 expression is substantially higher in NEN cases than non-NEN controls. Correlation analyses showed that NENs from diverse anatomic sites have convergent miRNA expression programs, likely reflecting morphologic and functional similarities. Using machine learning approaches, we identified 17 miRNAs to discriminate 15 NEN pathological types and subsequently constructed a multi-layer classifier, correctly identifying 217 (98%) of 221 samples and overturning one histologic diagnosis. Through our research, we have identified common and type-specific miRNA tissue markers and constructed an accurate miRNA-based classifier, advancing our understanding of NEN diversity.</p>
Data from: Dark ophiuroid biodiversity in a prospective abyssal mine field
The seafloor contains valuable mineral resources, including polymetallic (or manganese) nodules that form on offshore abyssal plains. The largest and most commercially attractive deposits are located in the Clarion Clipperton Fracture Zone (CCZ), in the eastern Pacific Ocean (EP) between Hawaii and Mexico, where testing of a mineral collection system is set to start soon [1]. The requirement to establish pre-mining environmental management plans has prompted numerous recent biodiversity and DNA barcoding surveys across these remote regions. Here we map DNA sequences from sampled ophiuroids (brittle-stars, including post-larvae) of the CCZ and Peru Basin onto a substantial tree-of-life to show unprecedented levels of abyssal ophiuroid phylogenetic diversity including at least three ancient (>70 my), previously unknown clades. While substantial dark (unobserved) biodiversity has been reported from various microbial meta-barcoding projects [2, 3], our data shows that we have considerably under-estimated the biodiversity of even the most conspicuous mega-faunal invertebrates [4] of the EP abyssal plain.
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.