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.
4,182
datasets available to search
ShareScore release 0.9.0
Dataset results
4,182 results for “universities”
Text-fig. 2 Associate Professor RNDr. Václav Ziegler CSc. in Faculty of Education of Charles University at Prague during Trends in didactics of biology, conference on the 20th anniversary of the restoration activities of the Department of Biology and Environmental Studies at the Faculty of Education of Charles University in Prague 2. October 2014. (photo: author 2014) in Václav Ziegler Septagenarian
Text-fig. 2 Associate Professor RNDr. Václav Ziegler CSc. in Faculty of Education of Charles University at Prague during Trends in didactics of biology, conference on the 20th anniversary of the restoration activities of the Department of Biology and Environmental Studies at the Faculty of Education of Charles University in Prague 2. October 2014. (photo: author 2014)
Text-fig. 1 Associate Professor RNDr. Václav Ziegler, CSc. is speaking and teaching during palaeontological excursion with students from Faculty of Education, Charles University - future teachers in Kutná Hora area. (photo: Marek, J.: 2006) in Václav Ziegler Septagenarian
Text-fig. 1 Associate Professor RNDr. Václav Ziegler, CSc. is speaking and teaching during palaeontological excursion with students from Faculty of Education, Charles University - future teachers in Kutná Hora area. (photo: Marek, J.: 2006)
Fig. 2 in Application of a universal parasite diagnostic test to biological specimens collected from animals
Fig. 2. Cluster dendrogram showing parasite species detected in mammalian hosts. Sequences detected in each specimen using nUPDx were clustered alongside parasite-derived reference sequences of known identity obtained from GenBank. These reference sequences are labelled on the dendrogram branch tips (where appropriate). A peripheral color-coded heat map ring indicates the host animal from which the parasite-derived sequence was detected. Gray branches and blocks on the heat map reflect the position of reference sequences within the tree. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Application of a universal parasite diagnostic test to biological specimens collected from animals
Fig. 1. Schematic describing the nested UPDx protocol employed in this study. This schematic provides a summary of the nested UPDx (nUPDx) protocol originally described by Flaherty et al. (Flaherty et al., 2021). Briefly, the DNA extract is subjected to a restriction digestion using the PstI restriction enzyme, and the digest product is subjected to PCR1 using primers 5'TTGATCCTGC- CAGTAGTCATATGC'3 (outer forward) and 5'GGTGTGTA- CAAAGGGCAGGGAC'3 (outer reverse). The resultant ~2 kb amplicon is digested using the restriction enzymes BamHI and BsoBI. The digest product is then subjected to PCR2 using internal primers 5'CCGGAGAGGGAGCCTGAGA'3 (inner forward) and 5'GAGCTGGAATTACCGCGG'3 (inner reverse) originally described by Flaherty et al. (Flaherty et al., 2018, 2021). The amplicon of PCR2 (~200 base pairs) is finally subjected to Illumina amplicon sequencing.
Fig. 3 in Application of a universal parasite diagnostic test to biological specimens collected from animals
Fig. 3. Cluster dendrogram showing parasite species detected in avian and reptilian hosts. Sequences detected in each specimen using nUPDx were clustered in this dendrogram alongside parasite-derived reference sequences of known identity obtained from GenBank. These reference sequences are labelled on the dendrogram branch tips (where appropriate). A peripheral color-coded heat map ring indicates the host animal from which the parasite-derived sequence was detected. Gray branches and blocks on the heat map reflect the position of reference sequences within the tree. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
University of Washington Ornithology
Open the record for dataset details and reuse information.
University of Washington Ornithology: Washington Bird Ornithology
Open the record for dataset details and reuse information.
Observational data in the maiden voyage of the Sun Yat-sen University Research Vessel
<p>From 15 to 18 June 2022, the Sun Yat-sen University research vessel conducted its maiden voyage for scientific expedition in northern SCS. Radiosonde-equipped sounding balloons were launched up during the observation period to measure meteorological elements. </p> <p>This dataset encompasses a range of parameters, sequentially detailing Elapsed Time, Ascension Rate, Height Above Mean Sea Level, Atmospheric Pressure, Ambient Temperature, Relative Humidity, Dew Point Temperature, Wind Direction, and Wind Speed. During the observation period, the data obtained from the radiosonde measurements are as follows:</p>
Publications of professors and teachers of the Ukrainian Free University (1921 - 1925), placed in the Open Access
<p>The publications of scientists of the Ukrainian Free University for the period from 1921 to 1925 inclusive, placed in the Open Access with the indication of electronic libraries in which they were placed, are presented. </p>
Entrepreneurial intention and identity at the Bon-Rhine-Sieg University
<p><span>The datacontains a sample of 300 respondents obtained at a German university of applied sciences (Bonn-Rhine-Sieg) from October 2023 to December 2023, and consisting of students, scientific and non-scientific staff and alumni. It was part of the evaluation of the project "SUPRA- Start Up Manufaktur St. Augustin".<br></span></p>
Linked collectors and determiners for: Masaryk University - Herbarium BRNU.
Natural history specimen data linked to collectors and determiners held within, "Masaryk University - Herbarium BRNU". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/54f946aa-2ca9-4a51-9ee5-011219e0381e">https://bionomia.net/dataset/54f946aa-2ca9-4a51-9ee5-011219e0381e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/54f946aa-2ca9-4a51-9ee5-011219e0381e">https://gbif.org/dataset/54f946aa-2ca9-4a51-9ee5-011219e0381e</a>. Formatted as a Frictionless Data package.
Supplemental data for: Evaluation of SARS-CoV-2 response at the University of North Carolina (UNC) at Charlotte using percent positivity data and viral genomic sequence data.
<p>Supplemental data for:</p> <p>Evaluation of SARS-CoV-2 response at the<br>University of North Carolina (UNC) at Charlotte<br>using percent positivity data and viral genomic<br>sequence data.</p> <p>Submitted to Biocarla 2024</p> <p>https://carla2024.org/portfolios/biocarla/</p> <p>Authors:</p> <p>Daniel Janies 1,2,3 [0000−0002−7890−9906], Shirish Yasa 1,2,3 [0000−0003−3217−4921],<br>Colby T. Ford 1,3,4 [0000−0002−7859−3622] Jannatul Ferdous 2,3 [0000−0003−3053−9616],<br>William Taylor 2,3 [0009−0000−6204−1172], April Harris 2,3 [0009−0009−2557−7926],<br>Sam Kunkleman 2,3 [0000−0002−2309−6418], Juan Bolanos 2,3, Kevin Lambirth 2,3 [0000-0002-6568-543X], Denis<br>Jacob Machado 1,2,3 [0000−0001−9858−4515], Cynthia Gibas 1,2,3 [0000−0002−1288−9543],<br>and Jessica Schlueter 1,2,3 [0000−0002−6490−0580]</p> <p>Affiliations:</p> <p>1) Center for Computational Intelligence to Predict Health and Environmental Risks<br>(CIPHER), University of North Carolina at Charlotte 28223, USA<br>Correspondence to: djanies@charlotte.edu<br>https://cipher.charlotte.edu<br>2) Department of Bioinformatics and Genomics, University of North Carolina at<br>Charlotte 28223, USA https://cci.charlotte.edu/departments/<br>department-of-bioinformatics-and-genomics/<br>3) College of Computing and Informatics, University of North Carolina at Charlotte<br>28223, USA https://cci.charlotte.edu<br>4) School of Data Science, University of North Carolina at Charlotte 28223, USA<br>https://sds.charlotte.edu<br>5) Division of Research, University of North Carolina at Charlotte 28223, USA<br>https://research.charlotte.edu/</p> <p> </p>
Data Workbook - Ex-Situ Geoheritage Case Study: Quantitative and Qualitative Analysis of the Uppsala University Museum of Evolution Collections
<p>Data Workbook for Thesis.</p> <p>Ex-Situ Geoheritage Case Study: Quantitative and Qualitative Analysis of the Uppsala University Museum of Evolution Collections. </p> <p>Includes; Images, Conservation Results, Inventory, Valuation Grades, RStudio Results</p>
Data for Figure 1 in "High-fidelity and polarization insensitive universal photonic processors fabricated by femtosecond laser writing"
Open the record for dataset details and reuse information.
Compilation of data collected in surveys on the WissKI-based 3D Repository with DFG 3D-Viewer project partners and architecture students from the Warsaw University of Technology and the Technical University of Łódź
<p>The dataset contain the compiliation of responses from users of WissKI-based 3D Repository (https://3d-repository.hs-mainz.de/)., which is the open platform for deposit of 3D models of cultural heritage. The beta version of the WissKI 3D Repository, initiated in June 2022, has been subjected to evaluation by two primary target groups since its launch. The initial group, composed of students in the cultural heritage domain, was tasked with showcasing the importance of documenting and publishing 3D models of digital reconstructions. The survey with sutdents was conducted for three different classes: </p> <p>1) In summer 2022 with bachelor architectrue students at Warsaw University of Technology during seminar of choice regarding digital reconstruction of wooden synagogues;</p> <p>2) In summer 2023 with bachelor architectrue students at Warsaw University of Technology, and master students from Technology University of Łódź during seminar of choice regarding digital reconstruction of wooden synagogues;</p> <p>3) In autumn 2023 during international workshop about digital 3D heritage of CoVHer project with studnets of architecture from Warsaw Univeristy of Technology, Alma Mater Studiorum – Universita di Bologna, Facoltà di Architettura di Porto and Hochschule Mainz - University of Applied Sciences, as well as archaeology studnets from Universitat Autònoma de Barcelona.</p> <p>The second group, comprising digital 3D cultural heritage professionals, predominantly focused on archiving digital assets. Participants were project partners of DFG 3D Viewer project, which were professionals from the Institute of Archaeology at University Cologne, the Institute of Art History at the Ludwig-Maximilians-Universität Munich, the Architecture, Civil Engineering and Urban Planning Department of BTU Cottbus Senftenberg, and the Detushce Museum. They were asked for evaluaton of system after three differetn stages of work: at the begging wihtout any introduction to the system, after proivision of intorudctionary materilas and finally at the end of work.</p> <p>All participants were requested to report their experiences across four categories: metadata form, 3D viewer, provided guidelines, and overall experience. A 5-point rating scale was employed to assess specific issues, with 1 being the most negative and 5 being the most positive. The form length question was an exception, where a median value of 3 was considered ideal, and extreme values indicated either excessive length or brevity.</p>
MS-UMG: MALDI-TOF Mass Spectra and Resistance Information on Antimicrobials from University Medical Center Göttingen
<p>During routine diagnostic procedures, we aggregated MALDI-TOF MS data of organisms isolated from clinical specimens from the University Medical Center Göttingen (UMG) in 2020 / 2021. We integrated these with corresponding antimicrobial susceptibility profiles. This amounted to 26,961 mass spectra and 26,961 corresponding metadata entries for the year 2020, and 50,381 mass spectra and 50,381 corresponding metadata entries for 2021, respectively. The dataset reflects 348 different species of bacterial and fungal organisms and 72 different antimicrobial susceptibility testing (AST) results.</p> <p> </p> <p>Please cite: </p> <div> <div>Effect of Data Heterogeneity in Clinical MALDI-TOF Mass Spectra Profiles on Direct Antimicrobial Resistance Prediction through Machine Learning</div> </div> <div><span><span><span>Youngjun</span> <span>Park</span></span>, <span><span>Michael</span> <span>Weig</span></span>, <span><span>Christine</span> <span>Noll</span></span>, <span><span>Oliver</span> <span>Bader</span></span>, <span><span>Anne-Christin</span> <span>Hauschild</span></span></span></div> <div><span>bioRxiv </span><span>2024.10.18.617592; </span><span><span>doi:</span> https://doi.org/10.1101/2024.10.18.617592</span></div>
Linked collectors and determiners for: James Cook University Herbarium (JCT) AVH data.
Natural history specimen data linked to collectors and determiners held within, "James Cook University Herbarium (JCT) AVH data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/01bc220b-39b8-4837-b235-f921187af771">https://bionomia.net/dataset/01bc220b-39b8-4837-b235-f921187af771</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/01bc220b-39b8-4837-b235-f921187af771">https://gbif.org/dataset/01bc220b-39b8-4837-b235-f921187af771</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Arizona State University Lois B. O'Brien Collection.
Natural history specimen data linked to collectors and determiners held within, "Arizona State University Lois B. O'Brien Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/78a151c6-19aa-4840-86a7-6fbd84acccce">https://bionomia.net/dataset/78a151c6-19aa-4840-86a7-6fbd84acccce</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/78a151c6-19aa-4840-86a7-6fbd84acccce">https://gbif.org/dataset/78a151c6-19aa-4840-86a7-6fbd84acccce</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Arizona State University Ornithology Collection.
Natural history specimen data linked to collectors and determiners held within, "Arizona State University Ornithology Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5f9cac91-3b5d-41df-8200-883a68aa2a17">https://bionomia.net/dataset/5f9cac91-3b5d-41df-8200-883a68aa2a17</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5f9cac91-3b5d-41df-8200-883a68aa2a17">https://gbif.org/dataset/5f9cac91-3b5d-41df-8200-883a68aa2a17</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Price Institute of Parasite Research, School of Biological Sciences, University of Utah.
Natural history specimen data linked to collectors and determiners held within, "Price Institute of Parasite Research, School of Biological Sciences, University of Utah". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e919e7e9-b0d2-4b77-92b4-ba3510096417">https://bionomia.net/dataset/e919e7e9-b0d2-4b77-92b4-ba3510096417</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e919e7e9-b0d2-4b77-92b4-ba3510096417">https://gbif.org/dataset/e919e7e9-b0d2-4b77-92b4-ba3510096417</a>. Formatted as a Frictionless Data package.
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.