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.
7,518
datasets available to search
ShareScore release 0.9.0
Dataset results
7,518 results for “screenings”
Computational Chemistry and Machine Learning-assisted Screening of Supported Amorphous Metal Oxide Nanoclusters for Methane Activation
<p>Gaussian input and output files for reproducibility of the results.</p>
Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments
<p>This link supplements the paper "Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments" published in Paleoanthropology (https://paleoanthropology.org/ojs/index.php/paleo)</p> <p>We analysed with ZooMS (Zooarchaeology by mass Spectrometry) 1,050 bone fragments recovered through water sieving from an Early Aurignacian layer (37–34 ka cal. BP) in the site of Le Piage (Lot, France) to compare the taxonomic identifications of bone remains using traditional morphological attributes with remains identified using ZooMS, and discuss the implications of the taxonomic patterns that we uncovered. </p> <p>This page contains mzXml files of the spectra obtained and analysed within the scope of the published paper. The files are classified by runs, and the excel sheet entitled "Sample location (spectrum n°) in MS analyses" stipulates which mzXML files correspond to which specimen. This page also contains the simplified database reporting the identifications obtained through peptide mass fingerprinting (PMF) and a breakdown of deamidation values calculated with the Betacalc 3 published in Wilson et al. (2012).</p> <p><span><span>For any questions please contact Pauline Raymond (pauline.raymond@college-de-france.fr).</span><br><span>Please use the DOI when citing this dataset. </span></span></p>
Figure 2 in Phytochemical screening and evaluation of antioxidant, total phenolic and flavonoid contents in various weed plants associated with wheat crops
Figure 2. Reducing power assay for Convolvulus arvensis, Chenopodium murale, Avena fatua, Phalaris minor extracts in different solvents.
Multistep screening of transition metal based homonuclear double atom catalysts to unravel the electronic origin of their activity and selectivity challenges for nitrogen reduction.
<p><span>Lack of robust catalyst design strategies for tackling the selectivity and activity challenges poses serious limitations in the development of efficient catalysts for nitrogen reduction to ammonia. The synergistic interactions in double-atom catalysts (DACs) have aroused great interest in developing promising catalytic centers for nitrogen-reduction reaction (NRR). Using a multistep screening strategy based on systematic first-principles simulations, we find that Fe<sub>2</sub>, Co<sub>2,</sub> and W<sub>2</sub> dimer species impregnated in <span>tetracyanoquinodimethane</span> based monolayer achieve suitable adsorption behaviour for the various NRR intermediates leading to excellent activity and selectivity among the 27 DACs considered in this study for NRR. Here we have uploaded input and output files of studied catalysts and reaction intermediates of NRR</span></p>
Screening of AMR-related genes in the genomes of Vibrio parahaemolyticus strains isolated in Europe from clinical, environmental and other sources
<p>The distribution of antimicrobial resistance (AMR) genes for the EU and European Free Trade Association (EFTA) countries data was obtained from the global <em>Vibrio parahaemolyticus</em> genomes based on a collection of nearly 10,000 genomes. Some of the strains are from the collection of prof. Jaime Martinez-Urtaza (Department of Genetics and Microbiology, Universitat Autònoma de Barcelona) or are part of ongoing studies to expand the genome collection; other genomes were retrieved from the European Nucleotide Archive (ENA at <a href="https://www.ebi.ac.uk/ena/browser/home" target="_blank" rel="noopener">https://www.ebi.ac.uk/ena/browser/home</a>) and the National Center for Biotechnology Information (NCBI) [GenBank at <a href="https://www.ncbi.nlm.nih.gov/genbank/" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/genbank/</a>; RefSeq at <a href="https://www.ncbi.nlm.nih.gov/refseq/" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/refseq/</a>; SRA at <a href="https://www.ncbi.nlm.nih.gov/sra" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/sra]</a>. For detection of AMR genes, a resistance genes detection pipeline based on one of the standard databases (CARD database at<a href="https://card.mcmaster.ca/" target="_blank" rel="noopener"> https://card.mcmaster.ca/</a>) was used. The phylogenetic tree was prepared and includes the reference genome from Japan <em>"Osaka" </em>as reference. The RIMD 2210633 strain has been added as the global reference strain which has been historically used for all the phylogenetic analysis of <em>V. parahaemolyticus</em>. The metadata includes the source of the strain, i.e., country, origin (clinical, environmental or unclear), date of isolation, and subtype. The antibiotic-resistant genes are shown as present, absent or not applicable. To build the ARGs European <em>V. parahaemolyticus</em> tree, the Parsnp tool, a fast core-genome multi-aligner and SNP detector, from the Harvest suite was used (Treangen et al., 2014). Parsnp calculates the MUMi distances between the reference genome (RIMD_2210633) and each one of the 152 genomes used in this study. The resulting Newick formatted core genome SNP tree was then uploaded onto the webtool I-Tol (Letunic and Bork, 2021), midpoint rooted and the metadata of the samples was incorporated.</p> <p>The accession IDs for the genomes included in the metadata are accessible in the following databases according to the first characters:<br>* GCA: GenBank (<a href="https://www.ncbi.nlm.nih.gov/genbank/" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/genbank/</a>)<br>* GCF: RefSeq (<a href="https://www.ncbi.nlm.nih.gov/refseq/" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/refseq/</a>)<br>* ERR: ENA (<a href="https://www.ebi.ac.uk/ena/browser/home" target="_blank" rel="noopener">https://www.ebi.ac.uk/ena/browser/home</a>)<br>* SRR: SRA (<a href="https://www.ncbi.nlm.nih.gov/sra" target="_blank" rel="noopener">https://www.ncbi.nlm.nih.gov/sra</a>)</p> <p>References</p> <p>Letunic I and Bork P, 2021. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res, 49:W293-w296. doi: 10.1093/nar/gkab301</p> <p>Treangen TJ, Ondov BD, Koren S and Phillippy AM, 2014. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol, 15:524. doi: 10.1186/s13059-014-0524-x</p>
Multistep screening of transition metal based homonuclear double atom catalysts to unravel the electronic origin of their activity and selectivity challenges for nitrogen reduction.
<p>We have uploaded input and output files of studied TM2@TCNQ catalysts and NRR intermediates</p>
LBPA/Cholesterol screen data raw images HeLa MZ cells
<p>Raw images of Prestwick compound screen on HeLa MZ cells</p>
LBPA/Cholesterol, Prestwick screen image analysis data (Z-score)
<p>LBPA-Cholesterol, Prestwick library screening image analysis data</p>
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database. in The Integrated Plant Record Vegetation Analysis: Internet Platform And Online Application
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database.
Fig. 1 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 1. Prevalence of ixodid ticks on white-tailed deer and nilgai on the Laguna Atascosa Wildlife Refuge (LANWR) in Cameron County (Texas). The LANWR is divided into Units, outlined in yellow. Deer and nilgai were harvested from the indicated units during the public hunt season in 2018–2019. Deer are identified by circles, nilgai are identified by triangles. Ixodid tick species collected either singly or in combination from these hosts are indicated by a different fill color presented in the legend. Animals from which no ticks were collected are shaded in green ('Not infested'). Rmic: Rhipicephalus (Boophilus) microplus; Anit: Anocenter nitens; Amac: Amblyomma maculatum; Iscap: Ixodes scapularis. Inset: The LANWR units are shaded in yellow, while the East Foundation's El Sauz Ranch located north of the LANWR is shaded in maroon.
Fig. 2 in Molecular screening for rickettsial bacteria and piroplasms in ixodid ticks surveyed from white-tailed deer (Odocoileus virginianus) and nilgai antelope (Boselaphus tragocamelus) in southern Texas
Fig. 2. Anocenter nitens, the tropical horse tick, infesting a white-tailed deer. As in horses, A. nitens ticks preferentially infest the ears of this cervid host. Photo Credit: Emma Mitchell
Supplementary Material - From in-silico screening to in-vivo validation in the zebrafish - A framework for Reeling in the Right Psychobiotics
Open the record for dataset details and reuse information.
2024-08_NIS-Seq_screening-data_Fig2-3
Open the record for dataset details and reuse information.
A dataset for establishing a machine learning-based QSAR model to screen beta-lactamase inhibitors using the FARM -BIOMOL chemical library
Open the record for dataset details and reuse information.
Fig. 6. Screening the study area for habitat structures, 6.VI.2020 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 6. Screening the study area for habitat structures, 6.VI.2020. © Brecht Verkempinck.
Test_screen_short_01
Open the record for dataset details and reuse information.
Screen Cap of Thrive App
Open the record for dataset details and reuse information.
Data from: Mouse screen reveals multiple new genes underlying mouse and human hearing loss
Adult-onset hearing loss is very common but we know little about the underlying molecular pathogenesis, impeding development of therapies. We took a genetic approach to identify new molecules involved in hearing loss by screening a large cohort of newly-generated mouse mutants using a sensitive electrophysiological test, the auditory brainstem response. We review here the findings from this screen. Thirty-eight unexpected genes associated with raised thresholds were detected from our unbiased sample of 1,211 genes tested, suggesting extreme genetic heterogeneity. A wide range of auditory pathophysiologies was found, and some mutant lines showed normal development followed by deterioration of responses, revealing new molecular pathways involved in progressive hearing loss. Several of the genes were associated with the range of hearing thresholds in the human population and one, SPNS2, was involved in childhood deafness. The new pathways required for maintenance of hearing discovered by this screen present new therapeutic opportunities.
Data from: Mutation screening of 1,237 cancer genes across six model cell lines of basal-like breast cancer
Basal-like breast cancer is an aggressive subtype generally characterized as poor prognosis and lacking the expression of the three most important clinical biomarkers, estrogen receptor, progesterone receptor, and HER2. Cell lines serve as useful model systems to study cancer biology in vitro and in vivo. We performed mutational profiling of six basal-like breast cancer cell lines (HCC38, HCC1143, HCC1187, HCC1395, HCC1954, and HCC1937) and their matched normal lymphocyte DNA using targeted capture and next-generation sequencing of 1,237 cancer-associated genes, including all exons, UTRs and upstream flanking regions. In total, 658 somatic variants were identified, of which 378 were non-silent (average 63 per cell line, range 37–146) and 315 were novel (not present in the Catalogue of Somatic Mutations in Cancer database; COSMIC). 125 novel mutations were confirmed by Sanger sequencing (59 exonic, 48 3'UTR and 10 5'UTR, 1 splicing), with a validation rate of 94% of high confidence variants. Of 36 mutations previously reported for these cell lines but not detected in our exome data, 36% could not be detected by Sanger sequencing. The base replacements C/G>A/T, C/G>G/C, C/G>T/A and A/T>G/C were significantly more frequent in the coding regions compared to the non-coding regions (OR 3.2, 95% CI 2.0–5.3, P<0.0001; OR 4.3, 95% CI 2.9–6.6, P<0.0001; OR 2.4, 95% CI 1.8–3.1, P<0.0001; OR 1.8, 95% CI 1.2–2.7, P = 0.024, respectively). The single nucleotide variants within the context of T[C]T/A[G]A and T[C]A/T[G]A were more frequent in the coding than in the non-coding regions (OR 3.7, 95% CI 2.2–6.1, P<0.0001; OR 3.8, 95% CI 2.0–7.2, P = 0.001, respectively). Copy number estimations were derived from the targeted regions and correlated well to Affymetrix SNP array copy number data (Pearson correlation 0.82 to 0.96 for all compared cell lines; P<0.0001). These mutation calls across 1,237 cancer-associated genes and identification of novel variants will aid in the design and interpretation of biological experiments using these six basal-like breast cancer cell lines.
Screening the TOMRES collection for combined stress tolerance in Northern European glasshouse conditions
<p>These experiments assessed varietal yield and quality in response to a combined treatment of reduced N and P application and severe water limitation (Combined stress) when grown in rockwool substrates. <br> Data was collection to assess relative NUE of varieties under treatment and control conditions as well as the physiological performance and fruit quality characteristics of varieties in order to contribute to a ranking for combined stress. </p> <p>Two trials were carried out (February - May 2019 and June - September 2019) at the Stockbridge Technology Centre in North Yorkshire, UK. </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.