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306
datasets available to search
ShareScore release 0.7.1
Dataset results
306 results for “data archive”
Data from: Extracting DNA from ‘jaws’: high yield and quality from archived tiger shark (Galeocerdo cuvier) skeletal material
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Data Archival for Economic Cost Modeling of Chinook Habitat Restoration in the Stillaguamish River Basin
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Data from: Changes in Eocene plant diversity and composition of the vegetation: the lacustrine archive of Messel (Germany)
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Data from: Coupling demographic and genetic variability from archived collections of European anchovy (Engraulis encrasicolus).
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Archive data supporting the results in the paper: Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil"
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Predictive utility of task-related functional connectivity vs. voxel activation - Data and code archive
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Data from: Reconstruction of a beech population bottleneck using archival demographic information and Bayesian analysis of genetic data
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Data from: An archive of longitudinal recordings of the vocalizations of adult Gombe chimpanzees
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Data from: Habitat monitoring and projections for threatened Canada lynx: linking the Landsat archive with carnivore occurrence and prey density
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Data from: Global connectivity patterns of the notoriously invasive mussel, Mytilus galloprovincialis Lmk using archived CO1 sequence data.
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Vermont Department of Environmental Conservation. Vermont Water Quality Data Archive and Lake Inventory Database from 1977 to 2010. Waterbury, VT
VT’s long-term archive of lake physical and chemical water quality. Maintained on a Sequel Server platform. Database integrates measurements from 1977 to present, and is continually being updated and augmented. Numerous parameters are archived within the database.
Data archive for paper "WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model"
<p><strong>WRF-TEB data archive</strong></p> <p>This archive contains data and tools to reproduce results as included in <a href="https://doi.org/10.1029/2019ms001961">Meyer et al. (2020)</a>.</p> <p><strong>Prerequisites</strong></p> <ul> <li><a href="https://sylabs.io/">Singularity</a> version >= 3.</li> </ul> <p><strong>Usage</strong></p> <p>To run all models and plotting scripts included in integration test and meteorological evaluation, run the following command from your command-line interface.</p> <pre><code>NPROC=8 TYPE=evaluate tools/singularity/run.sh</code></pre> <p>where <code>NPROC=8</code> is the maximum number of processes to use. The output can be found in the <code>work/</code> folder.</p> <p><strong>HPC</strong></p> <p>If you want to use this in an HPC environment, use <code>tools/hpc</code> as a template. As an example, to run the evaluation on Imperial HPC using PBS (Portable Batch System), use:</p> <pre><code>qsub -v REPO_ROOT=$(pwd),TYPE=evaluate tools/hpc/job_imperial.sh</code></pre> <p><strong>Copyright and License</strong></p> <p>Copyright and licensing information are included at the top of source files or as separate files in folders.</p> <p><strong>References</strong></p> <p>Meyer, D., Schoetter, R., Riechert, M., Verrelle, A., Tewari, M., Dudhia, J., Masson, V., Reeuwijk, M., & Grimmond, S. (2020). WRF‐TEB: implementation and evaluation of the coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) model. Journal of Advances in Modeling Earth Systems. <a href="https://doi.org/10.1029/2019ms001961">https://doi.org/10.1029/2019ms001961</a></p>
New Data Types in Social Science Research and Data Archives
<p>During the CESSDA event "Strengthening and Widening of the European Infrastructure of Social Science Data Archives" in Skopje, North Macedonia on 5-6 November 2019, Libby Bishop presented on New Data Types in Social Science Research and Data Archives. </p> <p>The talk addressed four questions: What are researchers doing with social media and other data? What are repositories currently doing to hold and share new forms data? Are there useful resources for repository staff, and what next steps are planned? What are repositories’ responsibilities in the broader debates? It is challenging to share data (consistent with Open Science and FAIR principles) while also meeting obligations to obey laws and protect confidentiality. Whereas the ethical procedures for “researcher-generated” data, such as surveys and interviews are well-established, no such consensus exists for social media and other data-in-the-wild. Even the basic conception of whether virtual spaces are public or private remains contested among researchers and the public. The talk delineated the key ethical issues of this debate and described practical solutions that some data repositories currently offer. To date, these solutions strictly interpret legal restrictions placed on data sharing. </p> <p> </p> <p>Alongside the presentation, also a video introducing these issues is available. The video is also available for <a href="https://youtu.be/GvirMb1vmww">viewing on Youtube</a>.</p> <p> </p>
How Do Data Archives Stay Connected to User Needs?
<p>This video has been realized in occasion of the CESSDA Training Days 2019. The CESSDA Training Days were a two-day training event showcasing diverse training resources on both CESSDA tools and services. They took place on November 27 and 28, 2019, and were hosted by the GESIS – Leibniz-Institute for the Social Sciences in Cologne, Germany.</p> <p>In this video, Jonas Recker discusses the concept of the “Designated Community” from the OAIS Reference Model.</p> <p>The video is also available for <a href="https://youtu.be/mTnz47X02U4">viewing on Youtube</a>.</p>
Heatwave tolerance of a marine polychaete (Hediste diversicolor): physiological and molecular data archive
<p>The aim of this work was to test the effect of long-lasting heatwaves on the intertidal polychaete <em>Hediste diversicolor</em> (24 ºC <em>vs</em> 30 ºC for a month). We analysed the whole-body proteome and carried out fatty acid analysis after 28 days of exposure and then estimated cumulative survival and upper thermal tolerance limits (after 30 days of exposure). Worms' wet weight was also compared between temperatures (after 30 days) to understand if elevated temperature has effects on growth. </p> <p>NOTE: The associated mass spectrometry proteomics dataset has been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD020635</p> <p>Dataset associated to the paper DOI:<a href="https://doi.org/10.1016/j.envres.2021.110885">10.1016/j.envres.2021.110885</a></p>
Disputed Archival Claims - 1998 and 2019 Survey Data
<p>This dataset comprises a spreadsheet containing the responses to two international surveys about displaced archives. The spreadsheet has two sheets: the first contains data pulled from Leopold Auer's 1998 report on his survey, Disputed Archival Claims, conducted for UNESCO and the International Council on Archives (ICA); the second sheet contains data received by James Lowry for his survey, conducted for the ICA's Expert Group on Shared Archival Heritage in 2018 and 2019, published in 2020.</p> <p>This dataset was compiled by James Lowry, John Moffat and Pauline Soum-Paris. It contains data collected and presented by Leopold Auer (1997/1998). Marianne Deraze contributed to the collection of the 2019 data by posting the survey to the ICA website. The data was contributed by representatives of the countries and organisations making the claims.</p>
Data and code archive for 'Time perception and patience: Individual differences in interval timing precision predict choice impulsivity in European starlings, Sturnus vulgaris'
<p>Data and code for Andrews et al. '<strong>Time perception and patience: Individual differences in interval timing precision predict choice impulsivity in European starlings, <em>Sturnus vulgaris'</em></strong></p> <p>Version of November 02 2020</p> <p>The data are presented here with different degrees of processing (i.e. from every trial on every day by every bird separately in 'timing data.Rdata', to one summary row per bird in 'timing data by bird.csv'). Separate scripts do the processing, fit polynomials, reproduce the by-bird analyses in the paper, and run the numerical model. Please see the document 'Description of R scripts and files' for details of the different versions of the data and what each script does.</p> <p> </p>
READ | Recognition and Enrichment of Archival Data
<p>1<sup>st</sup> Public Project Presentation</p>
Lego Project Data Archive
<p>This archive contains audio-visual data and ancillary materials in an open format suitable for sharing and reuse.</p> <p>A published journal article introduces and documents the collection and processing of raw video and audio recordings of an experimental Lego puzzle team game, which led to the formation of this archive.</p> <p>The primary motivation was for the data to be included in demonstation packages for immersive qualitative analysia and transcription software tools that work natively with 360-degree video data.</p> <p>The data is made available here in an open data archive with a Creative Commons license.</p>
Data from: Who shares? Who doesn't? Factors associated with openly archiving raw research data
Many initiatives encourage investigators to share their raw datasets in hopes of increasing research efficiency and quality. Despite these investments of time and money, we do not have a firm grasp of who openly shares raw research data, who doesn't, and which initiatives are correlated with high rates of data sharing. In this analysis I use bibliometric methods to identify patterns in the frequency with which investigators openly archive their raw gene expression microarray datasets after study publication. Automated methods identified 11,603 articles published between 2000 and 2009 that describe the creation of gene expression microarray data. Associated datasets in best-practice repositories were found for 25% of these articles, increasing from less than 5% in 2001 to 30%-35% in 2007-2009. Accounting for sensitivity of the automated methods, approximately 45% of recent gene expression studies made their data publicly available. First-order factor analysis on 124 diverse bibliometric attributes of the data creation articles revealed 15 factors describing authorship, funding, institution, publication, and domain environments. In multivariate regression, authors were most likely to share data if they had prior experience sharing or reusing data, if their study was published in an open access journal or a journal with a relatively strong data sharing policy, or if the study was funded by a large number of NIH grants. Authors of studies on cancer and human subjects were least likely to make their datasets available. These results suggest research data sharing levels are still low and increasing only slowly, and data is least available in areas where it could make the biggest impact. Let's learn from those with high rates of sharing to embrace the full potential of our research output.
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.