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.
233
datasets available to search
ShareScore release 0.9.0
Dataset results
233 results for “Long-reads”
scNanoATAC-seq: Long-read Single-cell ATAC-seq by Oxford Nanopore Technologies Sequencing
GEO Series GSE194024. Mus musculus; Homo sapiens. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Aligned Long-Read Murine Samples: Part 29
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 28
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 26
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 25
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 23
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 27
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 22
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 21
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 20
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 18
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 19
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 17
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 16
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 13
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 12
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 11
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 14
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 24
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</p>
Aligned Long-Read Murine Samples: Part 15
<p>Accession numbers can be queried via the European Nucleotide Archive for metadata information: https://www.ebi.ac.uk/ena </p> <p>Samples analyzed via the original version of L-RAPiT: </p> <p>Nelson, T.M.; Ghosh, S.; Postler, T.S. L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. <em>Int. J. Mol. Sci.</em> <strong>2022</strong>, <em>23</em>, 15851. https://doi.org/10.3390/ijms232415851</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.