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.
150
datasets available to search
ShareScore release 0.9.0
Dataset results
150 results for “collection database”
FIGURE 14 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 14. Holotype of Creagrutus nigroestigmosus ICN-MHN 989 (scale bar = 1 cm). Photo by Gabriel Cortés.
FIGURE 15 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 15. Paratypes of Hemibrycon carrilloi ICN-MHN 126 (scale bar = 1 cm). Photo by Henry Agudelo.
FIGURE 13 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 13. Holotype of Creagrutus guanes ICN-MHN 8520 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 10 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 10. Holotype of Bryconamericus multiradiatus ICN-MHN 82 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 9 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 9. Holotype of Bryconamericus ichoensis ICN-MHN 2718 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 6 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 6. Holotype of Bryconamericus cristiani ICN-MHN 3445 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 11 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 11. Holotype of Bryconamericus plutarcoi ICN-MHN (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 7 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 7. Holotype of Bryconamericus dahlii ICN-MHN 2722 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 8 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 8. Holotype of Bryconamericus galvisi ICN-MHN 2720 (scale bar = 1 cm). Photo by Jorge García Melo.
Leafcutter ants of the genus Atta in the Insects Collection at the Field Museum of Natural History. The field data on the attached tags are transcribed for entry into databases such as AntWeb and the Global Biodiversity Information Facility. Photograph: Matthew Nelsen. in The Evolution of Natural History Collections
Leafcutter ants of the genus Atta in the Insects Collection at the Field Museum of Natural History. The field data on the attached tags are transcribed for entry into databases such as AntWeb and the Global Biodiversity Information Facility. Photograph: Matthew Nelsen.
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7). in An integrative taxonomic revision of the genus Triphosa Stephens, 1829 (Geometridae: Larentiinae) in the Middle East and Central Asia, with description of two new species
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7).
CMAUP: a database of collective molecular activities of useful plants
<p><strong>ABSTRACT:</strong></p> <p>Contains information about ingredients, targets, plant-ingredient associations, and ingredient-target associations, along with relevant activity values and references. The dataset has undergone cleaning and preprocessing to ensure data quality and consistency.</p> <p><strong>Instructions:</strong></p> <p>Data were cleaned and duplicates were removed.</p> <p><strong>Inspiration:</strong></p> <p>This dataset uploaded to U-BRITE for "DRG_DEPOT" summer 2023 team project.</p> <p><strong>Acknowledgements:</strong></p> <p>Xian Zeng, Peng Zhang, Yali Wang, Chu Qin, Shangying Chen, Weidong He, Lin Tao, Ying Tan, Dan Gao, Bohua Wang, Zhe Chen, Weiping Chen, Yu Yang Jiang, Yu Zong Chen</p> <p>CMAUP: a database of collective molecular activities of useful plants.<br> <a href="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky965/5144144">Nucleic Acids Research</a> 2019; 47(D1): D1118-D1127; PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/30357356">30357356</a>; DOI: <a href="https://doi.org/10.1093/nar/gky965">doi.org/10.1093/nar/gky965</a></p> <p><strong>U-BRITE last update data: </strong>06/15/2023</p>
VSDFullBody: The Virtual Skeleton Database Full Body CT Collection
<p>Reupload of anonymized postmortem CT scans of the whole body originally published by Michael Kistler through the SICAS Medical Image Repository (<a href="https://www.smir.ch/">smir.ch</a>) as open access Virtual Skeleton Database (VSD). The CT datasets were provided by the forensic institutes of the universities of Bern and Zürich and shared under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license after ethical approval of the Cantonal Ethics Committee Bern. Further information can be found in:</p><ul><li>Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R. & Büchler, P. The virtual skeleton database: an open access repository for biomedical research and collaboration. <i>Journal of Medical Internet Research </i><strong>15(11), </strong>e245; <a href="https://doi.org/10.2196/jmir.2930">10.2196/jmir.2930</a> (2013).</li><li>Kistler, M. A database framework to incorporate statistical variability in biomechanical simulations. PhD thesis. Faculty of Medicine of the University of Bern; <a href="https://boristheses.unibe.ch/916">boristheses.unibe.ch/916</a> (2014).</li></ul><p>Due to ongoing difficulties in accessing the SMIR website a mirror of the original VSDFullBody datasets without any alterations is provided<strong>.</strong></p><p><strong>CAUTION:</strong> The VSD contains a few inconsistencies, such as duplicate CT datasets. The uploader is not connected to the SMIR or VSD and, therefore, not responsible for errors in the VSD. However, errors that the uploader recognized during the work with the VSD were logged in an Excel file: <a href="https://rwth-aachen.sciebo.de/s/rSVi7VsUyRCv37K">VSD_Comments.xlsx</a></p><p>Datasets of the VSD were used for the creation of surface models of the lower body's osseous anatomy. Further information can be found in: </p><ul><li>Fischer, M. C. M. Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans. <i>Scientific Data</i> <strong>10</strong>, 763; <a href="https://doi.org/10.1038/s41597-023-02669-z">10.1038/s41597-023-02669-z</a> (2023).</li></ul>
Database for Data Collection in the Context of an Enhanced Recovery After Surgery Program in Oncology Surgery
ClinicalTrials.gov study NCT03950011. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Database of Data Collection
ClinicalTrials.gov study NCT03461172. IPD Sharing: NO. Countries: 1. Publications: 15.
Summary table and references of studies of the biogeography of the West Indies found in the Web of Science Core Collection database
Open the record for dataset details and reuse information.
SchemaPile: A Large Collection of Relational Database Schemas [OLD VERSION]
<p>[OLD VERSION -- Please visit <a href="../records/12682521"> https://zenodo.org/records/12682521</a> instead]</p> <p>Access to fine-grained schema information is crucial for understanding how relational databases are designed and used in practice, and for building systems that help users interact with them. Furthermore, such information is required as training data to leverage the potential of large language models (LLMs) for improving data preparation, data integration and natural language querying.<br><br>Existing single-table corpora such as GitTables provide insights into how tables are structured in-the-wild, but lack detailed schema information about how tables relate to each other, as well as metadata like data types or integrity constraints. On the other hand, existing multi-table (or database schema) datasets are rather small and attribute-poor, leaving it unclear to what extent they actually represent typical real-world database schemas. </p> <p>In order to address these challenges, we present SchemaPile, a corpus of 221,171 database schemas, extracted from SQL files on GitHub. It contains 1.7 million tables with 10 million column definitions, 700 thousand foreign key relationships, seven million integrity constraints, and data content for more than 340 thousand tables. We conduct an in-depth analysis on the millions of schema metadata properties in our corpus, as well as its highly diverse language and topic distribution. In addition, we showcase the potential of SchemaPile to improve a variety of data management applications, e.g., fine-tuning LLMs for schema-only foreign key detection, improving CSV header detection and evaluating multi-dialect SQL parsers. We publish the code and data for recreating SchemaPile and a permissively licensed subset SchemaPile-Perm. </p> <p>GitHub repo: <a href="http://github.com/amsterdata/schemapile">http://github.com/amsterdata/schemapile</a></p>
Supplementary material 1 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
California Odonata database records after data processing, as described in methods.:
FIGURE 66 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 66. Paratype of Rhamdia lehmanni ICN-MHN 358 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 65 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 65. Holotype of Pimelodus yuma ICN-MHN 11733 (scale bar = 1 cm). Photo by Gabriel Cortés.
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.