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.
355
datasets available to search
ShareScore release 0.9.0
Dataset results
355 results for “data extraction”
Raw data of sequencing results of our study: Bovine milk microbiota: Evaluation of different DNA extraction protocols in challenging samples
<p>Clean reads of the repeated milk samples with used Primer Pairs V1V2 and V3V4</p> <p>Raw data of sequencing results (amplicon single variants)</p>
Bayesian evidence-driven likelihood selection for sky-averaged 21-cm signal extraction data
<p>Nested sampling posterior samples of different noise distributions with the following pattern:</p> <p>[Noise Model]_[Likelihood used]_[Noise parameter]_[Noise parameter value]</p> <p>The enhanced/ folders contain the more accurate posterior samples of the enhanced run of PolyChord.</p>
Data from: Shelf life and quality of tomato (Lycopersicon esculentum Mill.) fruits as affected by neem leaf extract dipping and beeswax coating
<p>The data was generated to investigate the effect of Beeswax (BW) coating and Neem leaf extract (NLE) dipping on the shelf life and quality of tomatoes (<em>Lycopersicon esculentum</em> Mill.) over a storage period of 36 days. A factorial combination of four levels of Neem plant extract (control, 15%, 20% and 25%) and four levels of beeswax coating (control, 3%, 6% and 9%) storage treatments with three replications were applied on fully matured green tomatoes in the study. The treatments were arranged in a randomized complete block design. The average storage room air temperature and relative humidity varied from 15.2 ºC to 20.4 ºC and 55.53% to 69.46% RH during 36 days of storage period at Haramaya University from February to April 2020. Data were recorded on 4, 8, 12, 16, 20, 24, 28, 32, and 36 days after storage. Data on physiological loss in weight, chemical compositions (total soluble solids, pH, titratable acidity, and ascorbic acid), decay (%), percentage marketability, and shelf life were assessed at an interval of four days during 36 days of storage period under ambient conditions.</p>
Aesthetic Trends and Semantic Web Adoption of Media Outlets Identified through Automated Archival Data Extraction
<p>This dataset includes a variety of structured data gathered via various Web data extraction techniques which were employed in order to collect current and archival data from almost a thousand news websites that are popular in Greece, for the purpose of monitoring and recording their progress through time. The collected information, that took the form of a website’s source code and an impression of their homepage in different time instances of the last decade, has been used to identify trends concerning Semantic Web integration, DOM structure complexity, number of graphics, color usage and more. In total more than ten thousands impressions (including screenshots and source code) were analyzed which resulted to conclusions regarding the evolution of aesthetics and the adoption of new technologies.</p>
Raw data and concentration response curves for: Neurotoxic mixture effects of chemicals extracted from blood of pregnant women
<p>The raw data and concentration response curves of the single chemicals, sample extracts, blanks and controls, as well as designed mixtures. The assay was a neurite outgrowth inhibition assay based on the SH-SY5Y neuroblastoma cell line. Reported endpoints were neurite outgrowth inhibition relative to unexposed cells (%), and cytotoxicity relative to unexposed cells (%). </p>
Data Extraction Sheet
Open the record for dataset details and reuse information.
Dataset extracted from En-Ru MultiUN corpus using data selection
Open the record for dataset details and reuse information.
Data Extraction_Heimrich Alexander
<p>The Data Extraction was conducted to support the Research Questions for the Master Thesis: "<span>Enhancing Process Mining Robustness: Investigating Process Mining Techniques, Algorithms,<span> </span>and<span> </span>Anomaly<span> </span>Detection<span> </span>Methods<span> </span>in the Presence of Noisy"</span></p>
Scripts and data from the study 'Characterisation of magnetic atomic and molecular beamlines for the extraction of empirical scattering-matrices' (PCCP manuscript number CP-ART-04-2024-001785)
<p>This repository contains the data used for the article "Characterisation of magnetic atomic and molecular beamlines for the extraction of empirical scattering-matrices" and includes the code for generating the figures in the publication.</p>
Dataset of miRNA-Disease Relations Extracted from Textual Data using Transformer-based Neural Networks
<p>Supplementary Data.</p>
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Open the record for dataset details and reuse information.
Chemical Name Extraction Based on Automatic Training Data Generation
<p>The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Another difficulty is the selection of informative features of chemical names, since comprehensive domain knowledge on chemistry nomenclature is required. Leveraging random text generation techniques, we explore the idea of automatically creating training sets for the task of chemical name extraction. Assuming the availability of an incomplete list of chemical names, called a dictionary, we are able to generate well-controlled, random, yet realistic chemical-like training documents. We statistically analyze the construction of chemical names based on the incomplete dictionary, and propose a series of new features, without relying on any domain knowledge. Compared to state-of-the-art models learned from manually labeled data and domain knowledge, our solution shows better or comparable results in annotating real-world data with less human effort. Moreover, we report an interesting observation about the language for chemical names. That is, both the structural and semantic components of chemical names follow a Zipfian distribution, which resembles many natural languages.</p>
Raw data of the manuscript: Heterogeneous Freezing of Liquid Suspensions Including Juices and Extracts from Berries and Leaves from perennial Plants
<p>Freezing data</p>
Code and data for "ActivityGen: Extracting Enabled Activities from Screenshots"
<p>The code and data for the paper "ActivityGen: Extracting Enabled Activities from Screenshots" is provided here. </p> <p><strong>Abstract</strong></p> <p>Many tasks in organizations are performed in a desktop environment. It is possible to record users' interactions in a desktop environment by taking screenshots when an action happens. The result is an interaction log. By considering the associated images of a record, it is possible to detect which activity was performed and which activities were enabled. This information can be extracted, resulting in a translucent event log. Such a translucent event log is valuable and can be used as input for dedicated process-mining techniques. The results can be used to analyze human-computer interactions or create bots for robotic process automation. However, current techniques for extracting information on enabled activities rely on template matching, which is rigid and sensitive to variations. To solve this issue, we present our modular framework, ActivityGen. ActivityGen detects and labels graphical user interface elements by also considering additional information. ActivityGen uses more advanced techniques to overcome the limitations of previous approaches and can extract information without a user's input. Furthermore, it can be adjusted to a user's needs. It detects graphical user interface elements more accurately than state-of-the-art techniques and labels them faster, more robust, and more domain-oriented than state-of-the-art techniques.</p> <p><strong>Data</strong></p> <p>ReDraw_CLS and ReDraw_ViSM are specified in the work. </p> <p>The basis for ReDraw_CLS is the ReDraw dataset. We focus on the following components: Button, CheckBox, EditText, Image, ImageButton (which we refer to as icon), RadioButton, and Switch. We noticed that the examples of ImageView and ImageButton are similar, primarily consisting of icon images. Therefore, we removed the ImageView class and introduced an Image class instead. The Image class contains images from the validation set of the Coco validation set 2017 and the YouTube Thumbnails dataset, enabling the detection of general website images.</p> <p>ReDraw_ViSM iterates add 6,000 synthetically created buttons to the former dataset by distributing them in the same ratio into train, test, and validation sets.</p> <p>lm_basic and lm_extended contain the text training for the language models. </p> <p><strong>Code</strong></p> <p>The code allows for the execution of ActivityGen. Moreover, we provide our evaluation scripts. However, the models do not have to be trained. The models' weights are provided in the model folder.</p>
"Data on Water Discharges from Copper Ore Extraction in the Sayak Ore Basin"
Open the record for dataset details and reuse information.
Data Extraction Form - Systematic Mapping Study of AxC Multipliers
<p>Data Extraction Form used to record the mapped publications to address the research questions from a systematic mapping study of approximate multipliers design.</p>
Data compilation for project Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana
<p>This repository contains the database for the project "Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana". This is the third chapter of the PhD thesis of Hurtado-Pulido</p> <p>Authors: Hurtado-Pulido C., Ebinger, C.</p> <p>The datasets used in this project were compiled and curated by Hurtado-Pulido from different sources for her PhD dissertation. <br>Earthquakes in the ISLA dataset were collected during the ISLA project (2019-2022), which was led by Ebinger (the Project's PI).</p> <p>If you use this dataset or part of it please also cite the original references listed in the READme document.</p> <p>Please address any questions about this dataset to Hurtado-Pulido.</p>
Data from: Choice of capture and extraction methods affect detection of freshwater biodiversity from environmental DNA
Environmental DNA (eDNA) is used to detect biodiversity by the capture, extraction, and identification of DNA shed to the environment. However, eDNA capture and extraction protocols vary widely across studies. This use of different protocols potentially biases detection results and could significantly hinder a reliable use of eDNA to detect biodiversity. We tested whether choice of eDNA capture and extraction protocols significantly influenced biodiversity detection in aquatic systems. We sampled lake and river water, captured and extracted eDNA using six combinations of different protocols with replication, and tested for the detection of four macroinvertebrate species. Additionally, using the same lake water technical replicates, we compared the effect of capture and extraction protocols on metabarcode detections of biodiversity using 16S for eubacteria and cytochrome c oxidase I (COI) for eukaryotes. Protocol combinations for capture and extraction of eDNA significantly influenced DNA yield and number of sequences obtained from next generation sequencing. We found significantly different detection rates of species ranging from zero percent to thirty-three percent. Differences in which protocol combinations produced the highest metabarcoded biodiversity were detected and demonstrate that different protocols are required for different biodiversity targets. Our results highlight that the choice of molecular protocols used for capture and extraction of eDNA from water can strongly affect biodiversity detection. Consideration of biases caused by choice of protocols should lead to a more consistent and reliable molecular workflow for repeatable and increased detection of biodiversity in aquatic communities.
Data from: HyRAD-X, a versatile method combining exome capture and RAD sequencing to extract genomic information from ancient DNA
Over the last decade, protocols aimed at reproducibly sequencing reduced-genome subsets in non-model organisms have been widely developed. Their use is however limited to DNA of relatively high molecular weight. During the last year, several methods exploiting hybridization capture using probes based on RAD-sequencing loci have circumvented this limitation and opened avenues to the study of samples characterized by degraded DNA, such as historical specimens. Here, we present a major update to those methods, namely Hybridization capture from RAD-derived probes obtained from a reduced eXome template (hyRAD-X), a technique applying RAD-sequencing to messenger RNA from one or few fresh specimens to elaborate bench-top produced probes, i.e., a reduced representation of the exome, further used to capture homologous DNA from a samples set. In contrast to previous hybridization-capture methods, the reference catalog on which reads are aligned does not rely on de novo assembly of anonymous RAD-sequencing loci, but on an assembled transcriptome obtained from RNAseq data, thus increasing the accuracy of loci definition and Single-Nucleotide-Polmorphisms (SNP) call, and targeting, specifically, expressed genes. Finally, the capture step of hyRAD-X relies on RNA probes, increasing stringency of hybridization, making it well suited for low-content DNA samples. As a proof of concept, we applied hyRAD-X to subfossil needles from the coniferous tree Abies alba, collected in lake sediments (Origlio, Switzerland) and dating back from 7200-5800 years before present (BP). More specifically we investigated genetic variation before, during, and after an anthropogenic perturbation that caused an abrupt decrease in Abies alba population size, 6500-6200 years BP. HyRAD-X produced a matrix encompassing 524 exome-derived SNPs. Despite a lower observed heterozygosity was observed during the 6.500-6.200 years BP time slice, genetic composition was nearly identical before and after the perturbation, indicating that re-expansion of the population after the decline was driven by autochthonous specimens. To the best of our knowledge, this is the first time a population genomic study incorporating ancient DNA samples of tree subfossils is conducted at a moderate cost using reproducible exome-reduced complexity.
Experimental data of manuscript "Marine Target Extraction Based on Adjoint Covariance Correction Model"
<p>Experimental data of manuscript "Marine Target Extraction Based on Adjoint Covariance Correction Model"</p>
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.