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.
470
datasets available to search
ShareScore release 0.9.0
Dataset results
470 results for “Evaluation dataset”
Economic evaluation of sea-level rise adaptation strongly influenced by hydrodynamic feedbacks: Dataset 2
Open the record for dataset details and reuse information.
Dataset of Evaluation Survey of a Conceptual Model for Promoting Digital Forensics Experiments
<p>Dataset of Evaluation Survey of a Conceptual Model for Promoting Digital Forensics Experiments</p>
Evaluation SIHUMI dataset: A sectioning and database enrichment approach for improved peptide spectrum matching in large, genome-guided protein sequence databases
<p>Dataset for evaluation of database sectioning method for generating an enriched database for mass-spectrometry-based proteomic approaches using large databases. Our evaluation demonstrates that this method helps to increase the sensitivity of PSMs while maintaining acceptable FDR statistics. This dataset was acquired from the protein samples containing proteins from eight microorganisms (<em>Anaerostipes caccae, Bacteroides thetaiotaomicron, Bifidobacterium longum, Blautia producta, Clostridium butyricum, Clostridium ramosum, Escherichia coli, Lactobacillus plantarum</em>) that were grown in a bioreactor. The MS-data for this dataset was acquired by Dr. Hettich's group at Oak Ridge National Laboratory, and it was made available by Dr. Nico Jehmlich from Helmholtz Center for Environmental Research through the 3rd International Metaproteome Symposium (<a href="https://www.ufz.de/index.php?en=44639">https://www.ufz.de/index.php?en=44639</a>). </p>
A reply to the critical evaluation of the Oscillayers methods and dataset
<p>The authors offered a critical evaluation of theory and methods of the Oscillayers approach and attempted to test its utility by reproducing global circulation model (GCM-)based palaeo-climatic reconstructions of two variables (Bio1 and Bio12) for four different time points (130kyr, 787kyr, 3.2Myr, 3.3Myr). They concluded that Oscillayers show poor agreement with independent GCMs and thus do not provide a robust approximation of palaeoclimate throughout the Plio-Pleistocene. Here, I demonstrate that the authors underestimated the ability of Oscillayers to reproduce independent GCMs by not taking into account inter-framework differences between the models used to generate the Oscillayers and PaleoClim datasets. However, upon correcting this systematic error, differences in Bio1 and Bio12 between Oscillayers and PaleoClim GCMs are less than ± 1°C or ± 50 mm on average in 35.9% (range: 11.8 – 59.0%) or 46.7% (20.8 – 66.0%) of values, respectively. Thus the agreement between Oscillayers and PaleoClim is on average c. 1.5 to 2 times higher than estimated by the authors and mostly well above the inter-model agreement between two commonly used GCMs (CCSM, MIROC) for the Last Glacial Maximum (LGM). Consequently, I conclude that the Oscillayers approach does provide reasonably robust approximations of palaeo-climate throughout the Plio‐Pleistocene. Some clarifications are given.</p>
Evaluation datasets and pre-computed scores for: "CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations"
<p>CAPICE is a computational method for predicting the pathogenicity of SNVs and InDels.</p> <p>This new repository added index for CAPICE v1.0 (build37) precomputed files.</p> <p><strong>Repository description:</strong></p> <p>1) "paper_datasets.tar.gz" contains all datasets used in the CAPICE paper;</p> <p>2) "capice_v1.0_build37_indels.tsv.gz" contains the precomputed scores for InDels in genome build 37</p> <p>3) "capice_v1.0_build37_indels.tsv.gz.tbi" contains the index for file"capice_v1.0_build37_indels.tsv.gz"</p> <p>4) "capice_v1.0_build37_snvs.tsv.gz" contains the precomputed scores for all possible SNVs in genome build 37</p> <p>5) "capice_v1.0_build37_snvs.tsv.gz.tbi" contains the index for file "capice_v1.0_build37_snvs.tsv.gz"</p> <p> </p>
Development of a Feedback Evaluation Tool for the Assessment of Telerehabilitation as a Teaching-Learning Tool for Medical Students Dataset
<p>Acknowledging that telemedicine is a growing medium of instruction, it is important for their be specific tools to measure student outcomes. This study aims to create a feedback evaluation tool to aid students express their concerns on telerehabilitation as a method of instruction, as well as aid the educators in receiving specific points to improve upon.</p> <p>The file attached is the collected data for the research on the Development of a Feedback Evaluation Tool for the Assessment of Telerehabilitation as a Teaching-Learning Tool for Medical Students. It contains the processed data from the Data Collection Forms as well as the results of the processed interview.</p>
Dataset for publication "Uncertainty Evaluation on the Absolute Phase Error of Digitizers"
<p>This is the dataset related to the paper</p> <p>Delle Femine, Antonio, Gallo, Daniele, Landi, Carmine, & Luiso, Mario. (2019). Uncertainty Evaluation on the Absolute Phase Error of Digitizers. Transactions of the Institute of Measurement and Control. http://doi.org/10.5281/zenodo.3600435</p> <p>that is identical to</p> <p>A. Delle Femine, D. Gallo, C. Landi, M. Luiso, “Uncertainty evaluation on the absolute phase error of digitizers”, Transactions of the Institute of Measurement and Control, Volume: 42 issue: 4, page(s): 749-758, 01 February 2020, doi: 10.1177/0142331219879836</p> <p> </p> <p> </p> <p>Excel file contains the data for Figures 6, 7, 8, 9.</p>
Evaluation of rice landraces for brown planthopper resistance based on phenotypic reactions and biochemical attributes [DataSet]
<p>Data set for the publication: Evaluation of rice landraces for brown planthopper resistance based on phenotypic reactions and biochemical attributes</p>
CodeEval: Pedagogy Based Benchmark Dataset for Evaluation Of Large Language Models Trained On Code
<p>Categories has been modified to 21 from 26.</p>
Evaluating the use of paralogous protein domains to increase data availability for missense variant classification [dataset]
Open the record for dataset details and reuse information.
Proteo Dataset (2023) for article "Proteo: A Framework for the Generation and Evaluation of Malleable MPI Applications"
<p>This dataset is the one used by the publication "Proteo: A Framework for the Generation and Evaluation of Malleable MPI Applications". The data are the data processed after the experiments to obtain the graphs and perform the analysis of the two applications shown.</p><p>On the one hand, there are data from the conjugate gradient (CG) execution and on the other hand, data from the Proteo framework, configured to emulate the CG.</p><p>The set is divided into 4 sections, each representing the results obtained for each result section of the article:</p><ul><li><strong>5.3</strong>: Similarity results between CG and Proteo configured to emulate CG. These results were obtained from the previous paper "Configurable synthetic application for studying malleability in HPC" at the PDP2023 conference. It consists of 4 datasheets:<ul><li><i>Nasp CG-VS-Proteo.xlsx</i>: Datasheet showing the total execution, iteration and computation times of Nasp (System_1) with the CG and Proteo. Used to create Figures 7 and 8.</li><li><i>JupiterThor CG-VS-Proteo.xlsx: </i>Datasheet showing the total execution, iteration and computation times of Jupiter (System_2) and Thor (System_3) with the CG and Proteus. Used to create Figures 7 and 8.</li><li><i>Comparison Comms CG Only.xlsx</i>: Datasheet showing MPI_Allgatherv communication times for different sizes on Nasp, Jupiter and Thor systems (System_1, System_2 and System_3). Used to create Table 1.</li><li><i>Comms CV_VS_Proteo.xlsx</i>: Datasheet showing MPI_Allgatherv communication times between the CG and Proteo for different sizes in Nasp, Jupiter and Thor systems (System_1, System_2 and System_3). Used to create Table 2.</li></ul></li><li><strong>5.4.1</strong>: Evaluation of the reconfiguration techniques in isolation of Proteo for synchronous methods. Used to create Figure 9. It is divided into three files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li></ul></li><li><strong>5.4.2</strong>: Evaluation of the reconfiguration in a malleable application, CG against Proteo. Used to create Figure 10 and 11. It is divided into two directories, differentiating between CG and Proteus. In total there are the following 5 files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li><li><i>dataCG_G.pkl</i>: Contains data on the complete execution times in the CG. The description can be found in the CG<i>_dataG_description.txt</i></li><li><i>dataCG_M.pkl</i>: Contains data on reconfiguration times in the CG. The description can be found in the CG<i>_dataM_description.txt</i></li></ul></li><li><strong>5.4.3</strong>: Evaluation of a malleable emulated application, CG against Proteo. Used to create Figure 12, 13 and 14. It is divided into two directories, differentiating between CG and Proteus. In total there are the following 5 files:<ul><li><i>dataG.pkl</i>: Contains data on the complete runtimes in Proteo. The description can be found in the file <i>Proteo_dataG_description.txt</i></li><li><i>dataM.pkl</i>: Contains data on reconfiguration times in Proteo. The description can be found in the file <i>Proteo_dataM_description.txt</i></li><li><i>dataL.pkl</i>: Contains data on iteration times in Proteo. The description can be found in the file <i>Proteo_dataL_description.txt</i></li><li><i>dataCG_G.pkl</i>: Contains data on the complete execution times in the CG. The description can be found in the CG<i>_dataG_description.txt</i></li><li><i>dataCG_M.pkl</i>: Contains data on reconfiguration times in the CG. The description can be found in the CG<i>_dataM_description.txt</i></li></ul></li></ul>
Dataset for "Development and evaluation of a novel user-operated slider based audiometry method"
Open the record for dataset details and reuse information.
Intelligent Java Dataset Construction and Visualization Evaluation for Reliable Software Development
<p><span>These datasets include LiuKui, New-100, New-400, and the dataset utilized in RQ5. </span></p>
Intelligent Java Dataset Construction and Visualization Evaluation for Reliable Software Development (Sci)
Open the record for dataset details and reuse information.
ISWC Evaluation files and datasets
Open the record for dataset details and reuse information.
Transfer learning evaluation on precipitation datasets
Open the record for dataset details and reuse information.
Dataset and Figure Files for "Evaluating Nitrogen Oxide and α-pinene Oxidation Chemistry: Insights from Oxygen and Nitrogen Stable Isotopes"
Open the record for dataset details and reuse information.
Datasets_for_training_and_evaluation_of_NATCOMPUTSCI-24-1879A
Open the record for dataset details and reuse information.
Dataset: Evaluation of Physicochemical Properties of Ipsapirone Derivatives Based on Chromatographic and Chemometric Approaches
<p>Dataset for publication</p> <p> </p>
Dataset for Manuscript "Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings"
<p>Dataset for a global access surgical literature systematic review. registered on Propsero (<strong>CRD42021240227) </strong>and titled <strong>Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings</strong></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.