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126 results for “Extraction Method”
Data-Driven Extract Method Recommendations: A Study at ING: Appendix
<p>The appendix of our FSE 2021 industry track paper.</p>
Minerando Motivações para Aplicação de Extract Method: Um Estudo Preliminar
<p>Conjuntos de dados utilizados na pesquisa.</p>
Figure 5 from: Bloom D, Thomer A, Vaidya G, Guralnick R, Russell L (2012) From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. ZooKeys 209: 235-253. https://doi.org/10.3897/zookeys.209.3247
Figure 5 - An example of how a location (Big Thompson Creek near Loveland), a date (Sunday, June 10, 1906), and a taxon (Cottonwood, genus Populus) are grouped from across multiple pages.
Figure 4 from: Bloom D, Thomer A, Vaidya G, Guralnick R, Russell L (2012) From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. ZooKeys 209: 235-253. https://doi.org/10.3897/zookeys.209.3247
Figure 4 - Editing a notebook page on Wikisource. This screenshot shows side-by-side transcription and wiki markup syntax.
Figure 2 from: Bloom D, Thomer A, Vaidya G, Guralnick R, Russell L (2012) From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. ZooKeys 209: 235-253. https://doi.org/10.3897/zookeys.209.3247
Figure 2 - Index page for Notebook #1. Each Index page corresponds to a multipage file. The Index page displays volume metadata and links to sections of the notebook, while also providing links out to each notebook page and color-coding to determine which pages have been already transcribed and proofed.
Figure 1 from: Bloom D, Thomer A, Vaidya G, Guralnick R, Russell L (2012) From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. ZooKeys 209: 235-253. https://doi.org/10.3897/zookeys.209.3247
Figure 1 - Web browser view of a scanned page of Henderson's journal displayed side-by-side with transcriptions and annotations using the MediaWiki Proofread Page extension.
Figure 3 from: Bloom D, Thomer A, Vaidya G, Guralnick R, Russell L (2012) From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. ZooKeys 209: 235-253. https://doi.org/10.3897/zookeys.209.3247
Figure 3 - Henderson's first sentence. "Boulder, Colo. July 28, 1905. Saw Say [sic] Phoebe and siskins, [American] Robins, [Northern] Flicker."
Data from: DNA extraction method affects the detection of a fungal pathogen in formalin-fixed specimens using qPCR
Open the record for dataset details and reuse information.
Data from: More than skin and bones: comparing extraction methods and alternative sources of DNA from avian museum specimens
Open the record for dataset details and reuse information.
Data from: Airway segmentation and centerline extraction from thoracic CT – comparison of a new method to state of the art commercialized methods
Open the record for dataset details and reuse information.
Data from: Comparison of capture and storage methods for aqueous macrobial eDNA using an optimized extraction protocol: advantage of enclosed filter
Open the record for dataset details and reuse information.
Data from: Long-term storage effects in steroid metabolite extracts from baboon (Papio sp.) faeces – a comparison of three commonly applied storage methods
Open the record for dataset details and reuse information.
Examination and comparison of the RNA extraction methods using mouse serum
GEO Series GSE246437. Mus musculus. 3 samples. Type: Non-coding RNA profiling by array.
SnapShot-Seq: a method for extracting genome-wide, in vivo mRNA dynamics from a single total RNA sample
GEO Series GSE48889. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
A multiparametric extraction method for the molecular characterization of Vn96-isolated plasma extracellular vesicles
GEO Series GSE133991. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Digestion treatment of uscfDNA extracted by SPRI Method
GEO Series GSE202432. Homo sapiens. 10 samples. Type: Other.
Assessment of real-time PCR for Helicobacter pylori DNA detection in stool with co-infection of intestinal parasites: a comparative study of DNA extraction methods
<p>Background</p> <p>Many studies reported high prevalence of <em>H. pylori</em> infection among patients co-infected with intestinal parasites. Molecular approach for the DNA detection of those microbes in stool have been proposed. However there are a few reports that evaluated the effect of bead-beating in relation to the <em>H. pylori</em> outcome. Therefore, we developed and evaluated two TaqMan-based real-time PCR (rt-PCR) qualitative assays for the detection of <em>ureC</em> (<em>glmM</em>) and <em>cagA</em> of <em>Helicobacter pylori</em> on DNA extracted by three procedures.</p> <p>Results</p> <p>The two PCRs were analysed on 100 stool samples from patients who were screened for intestinal parasites. Three DNA extraction procedures were used: 1) automation with bead beating, 2) automation without bead beating and 3) hand column. The specificity of the new assays was confirmed by sequencing the PCR products and by the lack of cross-reactivity with other bacteria or pathogens DNA. Rt-PCR assays showed a detection limit of 10^4 bacteria/200 mg stool. The <em>ureC</em>_PCR with bead beating process was compared to conventional stool antigen test (SAT), with 94.12 and 93.75% of respectively sensitivity and specificity. However, the discordant samples were confirmed by DNA sequencing suggesting a potential higher sensitivity and specificity of PCR.</p> <p>Conclusions</p> <p>Our findings showed that the automation with bead-beating –suggested procedure for intestinal parasitic infections- can reach highly sensitive results in <em>H. pylori</em> detection on stool compared also with SAT. Thus, this work can provide new insights into the practice of a clinical microbiology laboratory in order to optimize detection of gastro-intestinal infections. Further studies are needed to better define the clinical value of this technique.</p>
Proteomics Approach to Differentiate Protein Extraction Methods in Sugar Beet Leaves
<p>Interest in alternative plant-based protein sources is continuously growing. Sugar beet leaves have the potential to satisfy that demand due to their high protein content. They are considered as agricultural waste and utilizing them as protein sources can bring them back to the food chain. In this study, isoelectric-point-precipitation, heat-coagulation, ammonium-sulfate precipitation, high-pressure-assisted isoelectric-point precipitation, and high-pressure-assisted heat coagulation methods were used to extract proteins from sugar beet leaves. A mass spectrometry-based proteomic approach was used for comprehensive protein characterization. The analyses yielded 817 proteins, the most comprehensive protein profile on sugar beet leaves to date. Although the total protein contents were comparable, there was a significant difference between the methods for low-abundance proteins. High-pressure-assisted methods showed elevated levels of proteins predominantly located in the chloroplast. Here we showed for the first time that the extraction/precipitation methods may result in different protein profiles that potentially affect the physical and nutritional properties of functional products.</p>
Relationship Between Methods of Bladder Tumor Extraction and Local Recurrence Rate
ClinicalTrials.gov study NCT04750590. IPD Sharing: NO. Countries: 1. Publications: 0.
Myomectomy Operation and Fundus Incision, Energy Modalities and Methods of Extraction
ClinicalTrials.gov study NCT03901404. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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