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”
Reporter CRISPR screens decipher cis- and trans-regulatory principles at the Xist locus [FACS + BAMs + tables]
<div>FACS data related to Figures 1 and 4 in Schwämmle et al. 2025. </div> <div>Also include BAM files of published data and other files needed to replicate analyses included in https://github.com/EddaSchulz/TFiScreen_Paper. </div>
Screened results
Open the record for dataset details and reuse information.
The process of HDAC11 Assay Development: buffer screening
<p>A buffer screen at various pH was performed to pick the buffer that gives the best activity for HDAC11. </p> <p>Note: 1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
5-fluoro-tryptophan USP5 Zf-UBD Growth & Purification for 19F NMR Screening
<p>The expression and purification of USP5<sup>171-290</sup> in media supplemented with 5-fluoro-tryptophan. Mass spectrometry, differential scanning fluorimetry and fluorescence polarization assays were used to verify label incorporation, protein folding and ubiquitin peptide binding respectively. Preliminary 19F NMR experiments were completed with the purified protein to determine if there are perturbations in one of the 19F resonances with a ubiquitin peptide, LRLRGG. </p> <p> </p>
Screening EGFR and GAK Inhibitors in Chordoma
<p>Screening of inhibitors of the kinases EGFR and GAK in chordoma cell models to investigate the roles of each kinase in the biology of this rare cancer.</p>
Compounds of interest identified by screening a focused library against USP5 Zf-UBD with a 19F NMR assay
<p>Screening a set of commercial compounds selected from computational docking studies against USP5 zinc finger ubiquitin binding domain (Zf-UBD) using <sup>19</sup>F NMR spectroscopy. You can find details of preliminary <sup>19</sup>F NMR experiments <a href="https://zenodo.org/record/1246807#.WxV8HkgvzIV">here</a>.</p>
Screening compounds of interest against USP5 Zf-UBD with a surface plasmon resonance assay
<p>The determination of binding affinities of compounds of interest against USP5 zinc finger ubiquitin binding domain (Zf-UBD) with a surface plasmon resonance (SPR) assay. </p>
PanDDA analysis of NUDT7 screened against DSPL and OxXChem fragment libraries
<p><strong><a href="https://www.thesgc.org/scientists/groups/oxford">SGC Oxford</a> has performed a crystallographic fragment screen on the human peroxisomal coenzyme A diphosphatase NUDT7 (<a href="http://www.uniprot.org/uniprot/P0C024">UniProtKB - P0C024</a>). All structures with clearly identifiable ligands were deposited in the <a href="http://www.wwpdb.org/">Protein Data Bank</a> under Group Deposition ID G_1002045. The final structures and the relevant PanDDA event maps can be found at the <a href="https://www.thesgc.org/fragment-screening">SGC fragment screening website</a>. This work is part of the <a href="https://www.thesgc.org/tep">Target Enabling Package (TEP)</a> program at SGC and the complete TEP for NUDT7 is will also be available on ZENODO shortly.</strong></p> <p> </p> <p><em><strong>Experiment</strong></em></p> <p>Crystals were prepared at the <a href="http://www.diamond.ac.uk/Beamlines/Mx/Fragment-Screening.html">XChem </a>facility of the <a href="http://www.diamond.ac.uk">Diamond Light Source</a> (DLS). Briefly, crystals were soaked overnight with two fragment libraries; the Diamond- SGC Poised Library set (Cox et al., 2016) and the <a href="https://xchem.github.io/oxxchem/">OxXChem</a> set with nominal fragment concentrations of 100 mM, with DMSO at 30% v/v. Additionally, a series of follow-up compounds based on an initial fragment hit was synthesized and soaked overnight with nominal compound concentrations of 30 mM, with DMSO at 30% v/v. All datasets were collected at <a href="http://www.diamond.ac.uk/Beamlines/Mx.html">MX beamlines at DLS</a>. Autoprocessed datasets were analysed by Pan-Dataset Density Analysis (PanDDA) (Pearce et al., 2017). All ligands that were clearly identifiable in PanDDA event maps were modelled, refined and deposited into the PDB.</p> <p> </p> <p><em><strong>Content</strong></em></p> <p>This repository contains:</p> <ul> <li>all results from the PanDDA analysis, including ground-state-mean maps and PanDDA event & Z-maps for all ligand bound structures</li> <li>MTZ and AIMLESS logfiles from auto-processing</li> <li>PDB, CIF & PNG files of all the soaked compounds</li> <li>final refine.pdb and refine.mtz filess of all ligand bound structures</li> <li>all data belonging to an individual crystal can be found in <em>processed_datasets/<crystal_ID></em></li> </ul> <p> </p> <p><em><strong>References</strong></em></p> <p>Cox, O. B. et al. A poised fragment library enables rapid synthetic expansion yielding the first reported inhibitors of PHIP(2), an atypical bromodomain. Chem. Sci. 7, 2322–2330 (2016).</p> <p>Pearce, N. M. et al. A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nat Commun 8, (2017).</p>
Screening Compounds against USP5 Zf-UBD with a 19F NMR assay #2
<p>Screening compounds against USP5 zinc finger ubiquitin binding domain (Zf-UBD) using a <sup>19</sup>F NMR spectroscopy. You can find previous <sup>19</sup>F NMR experiments <a href="https://openlabnotebooks.org/co-crystal-structures-of-usp5-zf-ubd-and-weak-binding-compounds/">here</a>.</p>
Screen of A6 TCR against a library of HLA-A*02:01 MHC-I peptides from the human exome
<p>T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.</p>
Screen of Pr20 TCR mimic antibody against a library of HLA-A*02:01 MHC-I peptides
<p>Minigene sequencing of T2 cells sorted for high and low binding to the TCR mimic antibody "Pr20."</p>
Screen of A6 and B7 TCR against a library of HLA-A*02:01 MHC-I peptides from the human exome
<p>T2 cells expressing a library of off targets (derived from A6 and B7 binding motifs in Hausmann 1999) are co-cultured with A6, B7. DMF5 or 1G4 expressing T cells (from a non-A2 donor) and minigenes from surviving cells are amplified.</p>
Developing a Tryptophan Fluorescence Assay for Screening Ligands against USP5 Zf-UBD
<p>Development of a fluorescence based assay by measuring changes in UV tryptophan fluorescence of USP5 zinc finger ubiquitin binding domain (Zf-UBD) with addition of ligands</p>
Screening Compounds of Interest against USP5 Zf-UBD by SPR #2
<p>Determination of binding affinities of compounds of interest previously identified in a <sup>19</sup>F-NMR spectroscopy assay against USP5 zinc finger ubiquitin binding domain (Zf-UBD) with a surface plasmon resonance (SPR) assay </p>
Yeast 1-hybrid screens for upstream regulators of A. thaliana AGO1, AGO7, and AGO10: ranked tables of candidate direct upstream TFs
<p>This Excel file supplements a paper by Hoyer et al. (2019): <a href="https://doi.org/10.1002/pld3.102">https://doi.org/10.1002/pld3.102</a></p> <p>The file includes lists of TFs from twelve automated Y1H screens, for user convenience. The first sheet describes the columns. A separate Zenodo record (<a href="https://doi.org/10.5281/zenodo.1345229">1345229</a>) includes the raw data and code showing how the data were processed to generate these twelve tables.</p>
Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset contains 78 mammographic Images obtained from Cancer Patients</p>
Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset contains 78 mammographic images of African cancer patients</p>
PanDDA analysis of NUDT5 screened against DSPi poised fragment library
<p><strong>A crystallographic fragment screen on the human ADP-sugar pyrophosphatase NUDT5 (UniProtKB - Q9UKK9) has been performed at the Structural Genomics Consortium (SGC). All structures with clearly identifiable ligands were deposited in the <a href="http://www.wwpdb.org/">Protein Data Bank</a> under Group Deposition ID </strong> <strong>G_1002057. The final structures and the relevant PanDDA event maps can be found at the <a href="https://www.thesgc.org/fragment-screening">SGC fragment screening website</a>. </strong></p> <p> </p> <p><em><strong>Experiment</strong></em></p> <p>The experiment has been performed at the XChem facility at the Diamond Light Source. NUDT5 crystals were soaked with concentrated solutions (500 mM) of fragments from DSPi poised fragment library at 10% v/v for 30 minutes. All datasets were collected at I04-1 at DLS. Autoprocessed datasets were analysed by Pan-Dataset Density Analysis (PanDDA) (Pearce et al., 2017). All ligands that were clearly identifiable in PanDDA event maps were modelled, refined and deposited into the PDB.</p> <p> </p> <p><em><strong>Content</strong></em></p> <p>This repository contains:</p> <ul> <li>all results from the PanDDA analysis, including ground-state-mean maps and PanDDA event & Z-maps for all ligand bound structures</li> <li>MTZ and AIMLESS logfiles from auto-processing</li> <li>PDB, CIF & PNG files of all the soaked compounds</li> <li>final refine.pdb and refine.mtz filess of all ligand bound structures</li> <li>all data belonging to an individual crystal can be found in <em>processed_datasets/<crystal_ID</em></li> </ul> <p><em><strong>References</strong></em></p> <p>Cox, O. B. et al. A poised fragment library enables rapid synthetic expansion yielding the first reported inhibitors of PHIP(2), an atypical bromodomain. Chem. Sci. 7, 2322–2330 (2016).</p> <p>Pearce, N. M. et al. A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nat Commun 8, (2017).</p>
PanDDA analysis of DCP2B screened against DSPL/DSi Poised, OxXChem fragment libraries and initial follow up chemistry
<p><strong><a href="https://www.thesgc.org/scientists/groups/oxford">SGC Oxford</a> has performed a crystallographic fragment screen, and initial follow up chemistry on the </strong><strong>Human m7GpppN-mRNA Hydrolase (DCP2/NUDT20, <a href="https://www.uniprot.org/uniprot/Q8IU60">UniProtKB - QIU60</a>). All structures with clearly identifiable ligands were deposited in the <a href="http://www.wwpdb.org/">Protein Data Bank</a> under Group Deposition ID G_1002061, the corresponding apo structures are deposited under Group Deposition ID G_1002062. </strong></p> <p><em><strong>Experiment</strong></em></p> <p>Crystals were prepared at the <a href="http://www.diamond.ac.uk/Beamlines/Mx/Fragment-Screening.html">XChem </a>facility of the <a href="http://www.diamond.ac.uk">Diamond Light Source</a> (DLS). Briefly, crystals were soaked overnight with two fragment libraries; the Diamond- SGC Poised Library set (Cox et al., 2016) and the <a href="https://xchem.github.io/oxxchem/">OxXChem</a> set with nominal fragment concentrations of 100 mM, with DMSO at 20% v/v. Additionally, a series of follow-up compounds based on an initial fragment hit was synthesized and soaked overnight with nominal compound concentrations of 10-200 mM, with DMSO at 20% v/v. All datasets were collected at <a href="http://www.diamond.ac.uk/Beamlines/Mx.html">MX beamlines at DLS</a>. Autoprocessed datasets were analysed by Pan-Dataset Density Analysis (PanDDA) (Pearce et al., 2017). All ligands that were clearly identifiable in PanDDA event maps were modelled, refined and deposited into the PDB.</p> <p><em><strong>Content</strong></em></p> <p>This repository contains:</p> <p><em><strong>Modelled Data</strong></em></p> <ul> <li>Organised by crystal identifier, each folder contains: <ul> <li>Autoprocessing data from Diamond Light Source automated pipelines (including MTZ)</li> <li>PDB, CIF & PNG files of all the soaked compounds</li> <li>PanDDA event maps</li> <li>Final refine.pdb and refine.mtz files of all ligand bound structure <ul> <li>Superposed structures (refine.pdb)</li> <li>Separated bound & ground states (refine.split.bound.pdb & refine.split.ground.pdb)</li> </ul> </li> </ul> </li> </ul> <p><em><strong>PanDDA Analysis Data</strong></em></p> <ul> <li>This is split into two directories. This split is only due to technical limitations at the time of preparation of the data, and the timeliness of the data. <ul> <li>All results from the PanDDA analysis, including ground-state-mean maps and PanDDA event & Z-maps for all ligand bound structures. </li> </ul> </li> </ul>
Suspect Lists for Neurotoxicant Screening
<p>A range of lists for performing suspect screening of neurotoxicants, described in Table 1 of Schymanski <em>et al</em> (under revision), as well as the source data for the NEUROTOXINS list.</p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/dnteffects">DNTEFFECTS</a> (96): Chemicals with data demonstrating effects on neurodevelopment</p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/dntinvivo">DNTINVIVO</a> (33): A (non-exhaustive) list of compounds documented to trigger developmental neurotoxicity (DNT) in at least two different laboratories</p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/dntpotneg">DNTPOTNEG</a> (41): Suggested potential negative controls for developmental neurotoxicity (DNT) assays. Statins can also be used, see <a href="https://comptox.epa.gov/dashboard/chemical_lists/statins">https://comptox.epa.gov/dashboard/chemical_lists/statins</a></p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/humanneurotox">HUMANNEUROTOX</a> (190): A set of chemicals identified as <em>potential </em>neurotoxicants by the authors using literature, not necessarily active neurotoxicants.</p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/neurotoxins">NEUROTOXINS</a> (511): A list of chemicals reported as neurotoxicants, compiled from public resources (see source file included here)</p> <p><a href="https://comptox.epa.gov/dashboard/chemical_lists/litminedneuro">LITMINED</a><a href="https://comptox.epa.gov/dashboard/chemical_lists/litminedneuro">NEURO</a> (1243): Chemicals associated with neurotoxicity compiled through systematic literature mining of PubMed using MeSH terms (node C10, subheadings “chemically induced”, “toxicity”, “poisoning”, or “adverse effects”) and associating these with single chemical substances.</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.