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.
2,960
datasets available to search
ShareScore release 0.9.0
Dataset results
2,960 results for “elements”
Datasets for the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes"
<p>This upload contains the numerical datasets used for the numerical plots reported in the paper "Finite element modelling of the vibro-acoustic response in dielectric elastomer membranes" by G. Moretti et al., In <em>Electroactive Polymer Actuators and Devices (EAPAD) XXIV</em> (https://doi.org/10.1117/12.2612784).</p> <p>Please refer to the readme file for information on the files structure and content. </p>
Transposable elements in rice detected by TEF
<p>Next generation sequence data of '<a href="https://www.gene.affrc.go.jp/databases-core_collections_wr_en.php">World Rice Core Collection</a>' and '<a href="https://www.gene.affrc.go.jp/databases-core_collections_jr_en.php">Rice Core Collection of Japanese Landraces</a>' distributing NARO genebank have been analyzed by the software '<a href="https://pubmed.ncbi.nlm.nih.gov/36418944/">Transposable Elements Finder</a>'. This data is an additional supplementary data of the TEF paper.</p> <p>Transposition evidences were detected by direct comparison of NGS short reads between Japonica rice Nipponbare (wrc01) and other cultivars. Nearby 21,000 kinds of head and tail sequence pairs of TE have been identified by TEF. Head and tail sequences of TE, chromosome number, position, and name of detected rice cultivar were listed. </p> <ul> <li>This version is TE list of <em>Oryza sativa</em> detected by TEFv1.4.</li> <li>Positions of TE transpositions were mapped on <a href="https://rapdb.dna.affrc.go.jp/download/archive/irgsp1/IRGSP-1.0_genome.fasta">Os-Nipponbare-Reference-IRGSP-1.0</a> distributed from <a href="https://rapdb.dna.affrc.go.jp/">The Rice Annotation Project Database</a>.</li> <li>Accession Numbers of NGS data are listed in Japanese page '<a href="https://www.gene.affrc.go.jp/databases-core_collections_wr.php">World Rice Core Collection</a>' and in NCBI SRA page '<a href="https://www.ncbi.nlm.nih.gov/Traces/study/?acc=DRP006572&o=acc_s%3Aa">Rice Core Collection of Japanese Landraces</a>'.</li> <li>The TEF software is available at: <a href="https://github.com/akiomiyao/tef">https://github.com/akiomiyao/tef</a></li> <li>Miyao, A., Yamanouchi, U. Transposable element finder (TEF): finding active transposable elements from next generation sequencing data. <em>BMC Bioinformatics</em> <strong>23</strong>, 500 (2022). <a href="https://doi.org/10.1186/s12859-022-05011-3">https://doi.org/10.1186/s12859-022-05011-3</a></li> </ul>
IODP Expedition 379 Elemental analysis (CHNS)
Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
IODP Expedition 379 ICP-AES elemental analysis (interstitial water)
Elemental concentration in interstitial water samples was measured by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
IODP Expedition 371 Elemental analysis (CHNS)
Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
IODP Expedition 371 ICP-AES elemental analysis (interstitial water)
Elemental concentration in interstitial water samples was measured by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
Data and code for figures: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance
<p>This directory contains the datasets and code (if applicable) for generating the figures in the research article: Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance, <em>Supercond. Sci. Technol.</em> <strong>37</strong> 075013</p>
IODP Expedition 360 Elemental analysis (CHNS)
Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
IODP Expedition 360 ICP-AES elemental analysis (solids)
Elemental contents in hard rock and sediment samples was measured by inductively coupled plasma - atomic emission spectrocopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
IODP Expedition 397 ICP-AES elemental analysis (interstitial water)
Elemental concentration in interstitial water samples was measured by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
IODP Expedition 397 ICP-AES elemental analysis (solids)
Elemental contents in hard rock and sediment samples was measured by inductively coupled plasma - atomic emission spectrocopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
IODP Expedition 397 Elemental analysis (CHNS)
Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
G-quadruplexes as pivotal components of cis-regulatory elements in the human genome
<p>This repository stores the scripts for analyzing the relationship between G-quadruplexes (G4s) and <em>cis</em>-regulatory elements (CREs), as well as the data generated directly from the manuscript.</p> <p>Manuscript: <a href="https://doi.org/10.1186/s12915-024-01971-5" target="_blank" rel="noopener">G-quadruplexes as pivotal components of <em>cis</em>-regulatory elements in the human genome</a></p> <p>G4Hunter_w25_s1.5_hg38.txt: All potential G-quadruplexes in the human genome predicted by the G4Hunter software. </p> <ul> <li>Genome assembly: hg38.</li> <li>G4Hunter software parameters were set as follows: score threshold 1.5, window size 25.</li> </ul> <p>G4_cCRE_annotation.txt: Annotation file indicating the presence of G4s in cCREs (candidate CREs; from <a title="SCREEN database" href="https://screen.encodeproject.org/" target="_blank" rel="noopener">SCREEN database</a>).</p> <p>scripts.zip: Source code used for data analysis in this project, based on the R language.</p>
A recent overview of the state-of-the-art elements of text classification - dataset
<p>The two available datasets were used to conduct the quantitative analysis of the text classification area. The set, such as:</p> <ol> <li>biblio.bib contains all articles that are grouped in categories</li> <li>biblio.csv contains processed records from biblio.bib, based on it were built the statistics presented in the article</li> </ol>
MADIA_732678_SCRIBA_Finite elements simulation_01
<p>ONLY METADATA<br> <br> Collection of .mph files with all the performed simulation models on transport of diluted species in a background fluid. Dataset is composed of documents with the description of physics boundary conditions, model equation settings and results. Furthermore, dataset is composed of relevant scientific articles used as references. Data produced between from January 2017 to May 2017.</p>
Data and Code for "Cell Type-specific Genome Scans of DNA Methylation Diversity Indicate an Important Role for Transposable Elements"
<p>This is a release of the gitlab repository "meta-methylome" (https://gitlab.com/okartal/meta-methylome.git) that, in addition to the code, also contains the resulting genomic data.</p> <p>Extract the directory on the command line using</p> <pre><code class="language-bash">$ tar -xhzvf meta-methylome.tar.gz</code></pre> <p>to preserve the symbolic links.</p>
Data accompanying the manuscript "Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake", published in Limnology and Oceanography (doi: 10.1002/lno.12687)
<p>CTD and geochemical data accompanying the publication: Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake in Limnology & Oceanography (doi: 10.1002/lno.12687).</p>
IODP Expedition 398 Elemental analysis (CHNS)
Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
IODP Expedition 398 ICP-AES elemental analysis (interstitial water)
Elemental concentration in interstitial water samples was measured by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
IODP Expedition 398 ICP-AES elemental analysis (solids)
Elemental contents in hard rock and sediment samples was measured by inductively coupled plasma - atomic emission spectrocopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
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.