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.
2,015
datasets available to search
ShareScore release 0.9.0
Dataset results
2,015 results for “context”
Train and Test Dataset for a Neural Network for the task of RSA Segmentation in the context of a Master thesis 2024
<p>The data corresponds to the work of the master thesis "3D Segmentation of Plant Roots from MRI Images for Enhanced Automated Root Tracing using Deep Neural Networks" by Daniel Weißen from the 24/07/2024</p> <p>train_data.tar<br>- contains the training and validation data used for the DNN<br> - data_gmm contains the soil noise data based on a Gaussian Mixture Model<br> - data_FS contains the soil noise data based on the Fourier Synthesis approach described in the thesis</p> <p>test_data.tar<br>- contains the test data which is manually labeled</p> <p>segmentations.tar<br>- contains the segmentations of the trained SwinUNETR-V2+ on the real test MRIs<br> - fs_model_output: contains the Fourier Synthesis trained NNs segmentation<br> - fmm_model_output: contains the GMM trained NNs segmentation<br> - threshold_output: contains the Dice optimized threshold labeling</p> <p>FS_checkpoint.ckpt, GMM_checkpoint.ckpt<br>- contains the checkpoint for the trained SwinUNETR-V2+ on the Fourier synthesis, and GMM soil noise respectively</p>
Data for constructing China's co-invention network across 371 cities and depicting the regional context of 19 city-regions under COVID-19
<p>co-inventions.xlsx contains the application records of China's invention patents with more than one applicants in 371 cities from 2005 to 2021.</p> <p>determinants.xlsx contains statistical data depicting the socioeconomic background, innovation conditions, and COVID-19 pandemic severity of 19 city-regions in China.</p>
Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars
<p>This release includes all the SHARAD data used to produce analysis and figures in the paper, "Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars", by M.C. Raguso et al., submitted to Geophysical Research Letters in February 2024.</p> <p>The manuscript is currently under review. The dataset will be released following the completion of the review process.</p> <p>This release also includes slides (pdf format) presented during the RIMFAX Science Team meeting (09/6/22-09/09/22).</p> <p>Preferred citation (DataCite format): </p> <p>Raguso, M.C., & Nunes, D.C. (2024). Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars. [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10681430">https://doi.org/10.5281/zenodo.10681430</a></p> <p><em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file.</em></p>
The impact of exploiting spectro-temporal context in computational speech segregation
<p>The experimental data from the study:</p> <p>https://asa.scitation.org/doi/10.1121/1.5020273</p> <p>Group 1 contains results, masks and audio from the models of the 16 GMM component segregation system<br> Group 2 contains results, masks and audio from the models of the 64 GMM component segregation system</p> <p>There are three folders:</p> <p>Audio:<br> The CLUE sentences that were used for the listener study</p> <p>IBM = Ideal Binary Mask, UP = UnProcessed, EBM = Estimated Binary Mask. </p> <p>The IBM and UP are stored in one of the configuration folders (Front-end), that is:</p> <p>Audio\Group1\Front-end\icra_01_10sec_matched\UP<br> Audio\Group1\Front-end\icra_01_10sec_matched\IBM<br> Audio\Group1\Front-end\icra_01_10sec_matched\EBM</p> <p>Results:<br> The computed metrics for group 1 & 2 as well as Word Recognition Scores (WRSs) from the listener study</p> <p>BinaryMasks:</p> <p>a priori SNR masks, IBMs and EBMs from group 1 and 2.</p> <p><br> Developed with Matlab R2016a.</p>
CATCH-EyoU: Representation of the EU and Youth Active Citizenship in Educational Contexts: Textbook Analysis: Portugal
<p>This dataset consists of the underlying data of the following scientific paper accepted for publication by the Journal of Social Science Education (<a href="http://www.jsse.org/">http://www.jsse.org/</a>):</p> <p>Piedade, Filipe; Ribeiro, Norberto; Loff, Manuel; Neves, Tiago & Menezes, Isabel (2018). Learning about the European Union in times of crisis: Portuguese textbooks’ normative visions of European citizenship. <em>Journal of Social Science Education</em>.</p> <p>This data has been collected from five Portuguese upper secondary education books, from the disciplines of History and English as a Foreign Language (EFL).</p> <p>In particular, the files constituting this data set contain data that are specifically concerned with those Portuguese textbooks’ contents that are related with the European Union (partial data). These contents were analysed by members of the Portuguese research team and presented in the paper.</p> <p>Additional data is still under analysis by the Portuguese research team and will be made openly available in successive versions of the data set.</p> <p>This data is made available for open access in compliance with H2020 Program regulation, following the guidelines stipulated by the Data Management Plan adopted by the CATCH-EyoU research project.</p>
Why do payments for watershed services emerge? A cross-country analysis of adoption contexts -- data
<p>Data used in article. Why do payments for watershed services emerge? A cross-country analysis of adoption contexts</p>
A Conceptual Replication of Continuous Integration Pain Points in the Context of Travis CI
<p>This replication package accompanies `A Conceptual Replication of TravisCI Pain Points`, accepted to FSE 2019.</p>
FIGURE 1 in Bird names as critical communication infrastructure in the contexts of history, language, and culture
FIGURE 1. An example of the greater stability of English bird names relative to scientific names for a single species, which also shows the gateway effects of an eponymous English name to the literature (i.e., the area under the blue curve indicates the importance in communication and access of that name relative to all the others). This is an historic overview of the use of Wilson's Plover (blue) as an English bird name relative to the five scientific names the species has had from the early 1800s through 2019, Aegialitis wilsonius Ord (red), Aegialitis wilsonia (dark green), Ochthodromus wilsonius (golden), Pagolla wilsonia (bright green), and Charadrius wilsonia (purple), using Google Books Ngram Viewer.
Derived seismic data products from paper: "Seismic Imaging of the Reykjanes Peninsular, Iceland: Crustal-scale context of geothermal areas and ongoing volcano-tectonic unrest"
<p>Receiver Functions (RF) and Dispersion Curves derived from seismic stations throughout the Reykjanes Peninsular SW Iceland. </p> <p>RF are in Smurfpy python3 PICKLE format - details on format and scripts to read in here: https://github.com/sannecottaar/smurfpy. Folder <strong> </strong>has the following file structure:</p> <p><strong>RF_Data_Zenodo</strong> --> contains station folders: <strong>Network.Station</strong> --> contains folders <strong>goodRF_crust2</strong> and <strong>goodRF_crust6 </strong>where 2 and 6 refer to Gaussian pulse widths used to produce RF via iterative deconvolution --> contains RF files in format <strong><em>NETWORK.STATION_BAZ_EPIDIST_EVTIME.PICKLE</em></strong> and subfolders of identified highly similar waveform subsets in the format <strong>BAZ_NNN_NNN </strong>used in data inversions<strong><br></strong></p> <p>Dispersion curves are in Fast Marching Surfacewave Tomography FMST input format (Rawlinson and Sambridge, 2005), details on format in FMST manual: https://iearth.edu.au/codes/FMST/instructions.pdf. Folder <strong>FMST_Dispersion_Inputs_Zenodo </strong>contains the following files:</p> <ul> <li>otimes0.25Hz.dat</li> <li>otimes0.2Hz.dat</li> <li>otimes0.35Hz.dat </li> <li>otimes0.3Hz.dat</li> <li>otimes0.45Hz.dat</li> <li>otimes0.4Hz.dat</li> <li>otimes0.5Hz.dat</li> <li>sources.dat </li> <li>receivers.dat</li> </ul> <p> </p> <p><em>References</em>:</p> <div>Rawlinson, Nick. "FMST: fast marching surface tomography package–Instructions." <em>Research School of Earth Sciences, Australian National University, Canberra</em> 29 (2005): 47.</div>
Artifact of An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs
<div> <p><strong>Artifact of An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs</strong></p> <p> </p> <p>A README.md file can be found in the base folder after unzipping the artifact.</p> <p> </p> </div>
Dataset 2. Functional genomic profiling of O-GlcNAc reveals its context-specific interplay with RNA polymerase II
Open the record for dataset details and reuse information.
FIGURE 3 in Tylopilus callainus, a new species with a sea-green color change of hymenophore and context from the south of China
FIGURE 3. Microscopic features of Tylopilus callainus [N.K. Zeng1459 (FHMU),holotype]. a. Basidia. b. Basidiospores. c. Cheilocystidia. d. Pleurocystidia. e. Pileipellis. f. Stipitipellis. Bars=10 μm. Drawings by N.K. Zeng
FIGURE 2 in Tylopilus callainus, a new species with a sea-green color change of hymenophore and context from the south of China
FIGURE 2. Basidiomata of Tylopilus callainus. [a from N.K. Zeng 1464 (FHMU); b from N.K. Zeng 2436 (FHMU); c–e from N.K. Zeng 1459 (FHMU), holotype]. Photos by N.K. Zeng.
FIGURE 1 in Tylopilus callainus, a new species with a sea-green color change of hymenophore and context from the south of China
FIGURE 1. Phylogenetic placement of Tylopilus callainus within Tylopilus s. str. inferred from a multilocus (rDNA 28S and ITS, and TEF1) data set using RaxML. BS ≥ 50 % and PP ≥ 0.95 are indicated above or below the branches as RAxML BS/PP. SW = southwest, SE = southeast.
Local Contexts: Tools to Support Indigenous Data Sovereignty and Cultural Authority
<p>In an increasingly complex legal, social, and cultural environment, Local Contexts' Traditional Knowledge (TK) and Biocultural (BC) Labels offer Indigenous communities a tool to add cultural and historical context and cultural authority to cultural heritage content in their own local digital heritage archives as well as in digital archives, libraries, museums and other digital repositories globally.</p> <p>The primary objectives of Local Contexts are to enhance and legitimize locally based decision-making and Indigenous governance frameworks for determining ownership, access, and culturally appropriate conditions for sharing historical, contemporary, and future collections of cultural heritage and Indigenous data. Local Contexts is focused on increasing Indigenous involvement in data governance through the integration of Indigenous values into data systems. Local Contexts offers digital strategies for Indigenous communities, cultural institutions and researchers through the Labels and Notices. Together they function as a practical mechanism to advance aspirations for Indigenous data sovereignty and Indigenous innovation.</p> <p>This webinar was hosted by the Ethical Open Science Research Coordination Network. Learn more about the EOS RCN at https://eos-rcn.github.io/web/home</p>
Development of compact transcriptional effectors using high-throughput measurements in diverse contexts
<p>HT-recruit and CRISPR HT-recruit processed datasets </p> <p>Abstract: <span>Transcriptional effectors are protein domains known to activate or repress gene expression, however, a systematic understanding of which effector domains regulate transcription robustly across genomic, cell-type, and DNA-binding domain (DBD) contexts is lacking. Here, we develop dCas9-mediated high-throughput recruitment (HT-recruit), a pooled screening method for quantifying effector function at endogenous target genes, and test effector function for a library containing 5,092 nuclear protein Pfam domains across varied contexts. We also map context dependencies of effectors drawn from unannotated protein regions using a larger library containing 114,288 sequences tiling chromatin regulators and transcription factors. We find that many effectors depend on target and DBD contexts, such as HLH domains that can act as either activators or repressors. To enable efficient perturbations, we select context-robust domains, including ZNF705 KRAB, that improve CRISPRi tools to silence promoters and enhancers. We engineer a compact human activator NFZ by combining several domains, which enables efficient CRISPRa with better viral delivery, and inducible control of CAR T-cells. Together, this effector-by-context functional map reveals context-dependence across human effectors and guides effector selection for manipulating transcription.</span></p>
Reinforcement Learning in path-dependent, non-ergodic contexts
<p>Data and models for training reinforcement learning agents in path-dependent, non-ergodic context. Provided to support our paper (reference upon publication)</p>
The Dataset of Cross-projcet Code Context Model
<p>A dataset of the cross-project code context model for three open-source Eclipse projects: Mylyn, Platform, and PDE.</p>
ArcGIS GDB for CPBS Report 23UCB01 - A Context-sensitive Street Classification Framework for Speed Limit Setting
<p>ArcGIS .gdb geodatabase files and a data dictionary in Excel format.</p>
Figure 1 in Potential seed dispersal of cumbaru (Dipteryx alata) by fruit-eating bats (Artibeus sp.) in a Brazilian urban context
Figure 1: Location of the bat roost (yellow point) monitored, in the urban area (blue circle) of the municipality of Cáceres, Central-Southern region of Mato Grosso state, Brazil.
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.