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.
270
datasets available to search
ShareScore release 0.9.0
Dataset results
270 results for “sufficiency”
EPR Characterization of the Heme Domain of a Self-Sufficient Cytochrome P450 (CYP116B5)
<p><strong>Description of the dataset: </strong></p> <ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, computer simulation.</li> <li>Files are with filename extensions: .<strong>DSC</strong>, .<strong>DAT</strong>, .<strong>m</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions .<strong>DSC</strong>, .<strong>DTA.</strong></li> <li>EPR spectroscopic simulation with filename extension .<strong>m</strong>.</li> </ul> <ul> <li>CW and Pulse X-band experiments were performed on a Bruker Elexys E580 X-band spectrometer (microwave frequency 9.68 GHz) equipped with a cylindrical dielectric cavity and a helium gas-flow cryostat from Oxford Inc.</li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP5_20220225_CW</strong> folder includes X-band CW-EPR spectroscopic measurements, original data are in DTA/DSC/txt.</li> <li>Files in <strong>PARACAT_WP5_20220225_HYSCORE</strong> folder includes HYSCORE spectroscopic measurements, data are in .DTA, .DSC, .txt formats.</li> <li>Files in <strong>PARACAT_WP5_20220225_MATLAB</strong> folder includes computer simulations/analyses of the EPR measurements, data are in .m formats.</li> </ul> </li> </ul>
From Boston to Eden - or how to get systems that are really autonomous and sufficiently intelligent to survive in their niche
<p><a href="https://www.researchgate.net/project/Theoretical-artificial-intelligence/update/5e5f931a3843b0499fec8f6f?_iepl%5BviewId%5D=FMNsczWoobvAHwiOMdftISgB&_iepl%5Bcontexts%5D%5B0%5D=projectUpdatesLog&_iepl%5BinteractionType%5D=projectUpdateDetailClickThrough">From Boston to Eden - or how to get systems that are really autonomous and sufficiently intelligent to survive in their niche</a></p> <p>[lecture for the Dept. of AI, University of Groningen, Tuesday, March 3rd, 2020]</p> <p>As impressive as the robots of the Boston Dynamics company are (no AI involved) and as impressive the many results of deep learning are (no AI involved, either), the goal of creating autonomous, intelligent machines is as far away as it ever was. <br> In this presentation, I will give a brief overview of several deep-learning projects in our group. As a next step I will try to indicate <br> what may be missing, as regards 'real' AI. We may need a closer look at biological systems, i.e., the brain of animals. There exists a wide gap between the control systems at the low level of reflexive movement and the equilibria that need to be maintained ('Boston') versus the higher levels of processing, up to the levels of cognition and reasoning, which are very much upstairs ('Eden'). The missing middleware layer should not be underestimated: It contains the brain stem, up to the thalamus in animals and humans. <br> It corresponds to the 300-million year period before the 200 million years period where the neocortex was present. <br> What is this middleware doing? The conclusion may be that there is no autonomy without self protection, possible due to the presence of a separate and specialized valuation network that determines probability times utility (p*U), similar to what brain stem, midbrain and amygdala are doing in animals.</p>
Data and script: Reduced enumeration effort, but not coarse taxonomic resolution, is sufficient to represent beta diversity patterns of stream benthic diatoms
<p>This is a dataset on benthic diatom communities sampled in 90 riffles (the local communities) within nine near-pristine subtropical streams (each stream represented a metacommunity) in southeast subtropical Brazil. </p> <p>In addition to the dataset, we also provide the R code used to investigate whether reduced enumeration efforts (i.e., subsets of counted valves per sample) and the identification to the genus level are sufficient to recover patterns in the species composition and in beta diversity of benthic diatom metacommunities.</p>
Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination - Evaluation Material
<p>In this archive, we provide the (already normalized and translated) rule sets that we used for the evaluation<br> of RMFA2, DRPC, and RPC in our paper "Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination" at KR 2023. We also provide the raw result files and some basic scripts that we used<br> to produce and count the results.<br> <br> Please refer to the provided README.md for more information.</p>
Data repository for Global wood harvest is sufficient for climate-friendly transitions to timber cities
<p><strong>Supplementary Information S2</strong></p> <p><strong>Global wood harvest is sufficient for climate-friendly transitions to timber cities | <a href="https://doi.org/10.1038/s41893-025-01605-w" target="_blank" rel="noopener">Nature Sustainability</a></strong></p> <p>Alperen Yayla <sup>1,a</sup>; Adam R. Mason <sup>1,b</sup>; Junyang Wang <sup>1,2,c</sup>; Stijn van Ewijk <sup>3,d</sup>; Rupert J. Myers <sup>1,e,*</sup></p> <p><sup>1</sup> Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom</p> <p><sup>2</sup> Department of Mathematics, Imperial College London, London, SW7 2AZ, United Kingdom</p> <p><sup>3</sup> Department of Civil, Environmental & Geomatic Engineering, University College London, London, WC1E 6BT, United Kingdom</p> <p>* Corresponding author</p> <p><sup>a </sup><a href="mailto:a.yayla22@imperial.ac.uk">a.yayla22@imperial.ac.uk</a>, <sup>b</sup> <a href="mailto:a.mason19@imperial.ac.uk">a.mason19@imperial.ac.uk</a>, <sup>c</sup> <a href="mailto:junyang.wang21@imperial.ac.uk">junyang.wang21@imperial.ac.uk</a>, <sup>d</sup> <a href="mailto:s.vanewijk@ucl.ac.uk">s.vanewijk@ucl.ac.uk</a>, <sup>e</sup> <a href="mailto:r.myers@imperial.ac.uk">r.myers@imperial.ac.uk</a>.</p>
Original data for article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?"
<p>The uploaded Jupyter notebooks contain original data generation and processing methods used in the article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?" by A. Makogon, F. Kanoufi, and V. Shkirskiy</p>
Energy Sufficiency Policy Database
<p>This folder contains the policy database belonging to the publication <strong>"Building a Database for Energy Sufficiency Policies"</strong> (<a href="https://doi.org/10.12688/f1000research.108822.2">https://doi.org/10.12688/f1000research.108822.2</a>).</p> <p><span>Version 1.1 of the database is replacing version 1.0 from January 2023 of the sufficiency policy database. We made the following changes and revisions:</span></p> <ul> <li><span>> 70 new policies added</span></li> <li><span>New literature added</span></li> <li><span>One Double ID deleted, two IDs merged</span></li> <li><span>New policy strategies added, others renamed</span></li> </ul> <p><strong>Acknowledgements:</strong></p> <p>The database is funded by the Federal Ministry of Education and Research (BMBF) as part of the project “EnSu - Energy Sufficiency in Energy Transition and Society” (https://energysufficiency.de/) within the framework of the Strategy „Research for Sustainability" (FONA) (http://www.fona.de/en) as part of its Social-Ecological Research funding priority, funding nos. [01UU2004A, 01UU2004B, 01UU2004C]. Responsibility for the content of this publication lies with the authors.</p>
Data associated with the manuscript "Simple statistical models can be sufficient for testing hypotheses with population time series data"
<p>This is a revised version of the archive of R code and data used in the manuscript, <em>Simple statistical models can be sufficient for testing hypotheses with population time series data. </em>The data are in three files. <em>etodata1.csv</em> and <em>etodata2.csv</em> contain two versions of the same data for shoal-dwelling fishes in the Etowah River and associated environmental covariates. <em>knz_dat</em> contains data for small mammals collected in the Konza Prairie Biological Station and associated environmental covariates. The R code consists of four primary files that call nine auxiliary files. CaseStudy1-main_code and CaseStudy2-main_code are the primary files for running the two case studies. Simulations1 and Simulations2 are the files for running the two batteries of simulations. We thank the Konza Prairie Biological Station and Konza Prairie Long-Term Ecological Research Program supported by the National Science Foundation (DEB-1440484) for collecting and providing access to mammal community data. More details are in the manuscript and supporting information. </p>
Data from: How many specimens make a sufficient training set for automated three dimensional feature extraction?
<p>Deep learning has emerged as a robust tool for automating feature extraction from 3D images, offering an efficient alternative to labour-intensive and potentially biased manual image segmentation methods. However, there has been limited exploration into the optimal training set sizes, including assessing whether artificial expansion by data augmentation can achieve consistent results in less time and how consistent these benefits are across different types of traits. In this study, we manually segmented 50 planktonic foraminifera specimens from the genus Menardella to determine the minimum number of training images required to produce accurate volumetric and shape data from internal and external structures. The results reveal unsurprisingly that deep learning models improve with a larger number of training images with eight specimens being required to achieve 95% accuracy. Furthermore, data augmentation can enhance network accuracy by up to 8.0%. Notably, predicting both volumetric and shape measurements for the internal structure poses a greater challenge compared to the external structure, due to low contrast differences between different materials and increased geometric complexity. These results provide novel insight into optimal training set sizes for precise image segmentation of diverse traits and highlight the potential of data augmentation for enhancing multivariate feature extraction from 3D images. </p>
Formulas for calculating food self-sufficiency ratios in previous studies and author comments
<p><span>The<strong> food self-sufficiency ratio of each country</strong> is obtained by dividing the amount of food production by the amount of food supply, but this is not the only way to calculate the food self-sufficiency ratio. Before starting the calculation, issues such as the food to be calculated, the unit of measurement of food and its data source, and the calculation method for primary and secondary products must be resolved. We summarized how major previous studies have addressed this issue.<strong> The author of this document selected 20 studies that contain specific descriptions from previous studies on this issue</strong>. The author then added comments to all previous studies. The main comment was that although <strong>the formula for calculating the food self-sufficiency ratio of each country is incomplete</strong>, there is a large amount of valid previous research that contains many suggestions.</span></p>
Framework for the Supply-side Food self-sufficiency ratio (SSFSSR)
<p><span>The SSFSSR is<span> <strong> </strong></span><strong>a method of calculating Food self-sufficiency Ratio (FSSR) by considering food from the point it enters the supply chain after harvest until it is consumed.</strong> It thus incorporates the stages of post-harvest, storage, import, and export. Most food in these stages is in the form of primary products, with some being processed into secondary products, such as livestock products, edible oils, sugar products, and juices, which undergo compositional changes. The SSFSSR automatically accounts for the quantitative loss of food due to spoilage, waste, rodent damage, and attrition during processing after harvest. <strong>The conventional methods of the FSSR excludes the calories of primary products used as intermediate inputs, such as livestock feed and raw materials for edible oils, as well as losses</strong>, spoilage, waste, rodent damage, and attrition during processing from the post-harvest stage until human consumption.</span></p>
Potentials and perspectives of food self-sufficiency in urban areas – data and code
<p>Script and input data files (consumption and production data) for the publication "Potentials and perspectives of food self-sufficiency in urban areas – a case study from Leipzig". The script provides a tool for 1) the calculation of the self-sufficiency level (ssl), regional and non-regional agricultural area demand for the region of interest and 2) the calculation of share of area demand and total consumption of single commodities and food groups. Input data files include production yields and consumption quantities for single commodities.</p>
Replication package for the study "Digital Sufficiency in Flexible Work"
<p>This dataset is published for transparency and open data purposes, as part of the work "<em>'We are always on, is that really necessary?' Exploring the Path to Digital Sufficiency in Flexible Work</em>" published at <a href="https://conf.researchr.org/home/ict4s-2023">ICT4S 2023</a> conference.</p> <p><strong>The study:</strong></p> <p>We conducted three focus groups with a total of 11 participants, inside two different companies. Our aim was to investigate the notion of digital sufficiency in the context of flexible work.</p> <p><strong>Content:</strong></p> <ul> <li><em>Preliminary interview guide.pdf</em>: the interview guide containing the questions for the preliminary interview</li> <li><em>Focus group slides.pdf</em>: the slides presented to the participants of the three focus groups</li> <li><em>Focus group participant print-outs.pdf</em>: the sheets distributed to the participants of the three focus groups, for individual note-taking</li> <li><em>Codebook.xlsx</em>: the codes extracted (with the help of the software <a href="http://www.saturateapp.com">Saturate</a>) from the transcripts of the three focus groups: <ul> <li>tab <em>CODEBOOK</em>: the codes, sorted by three levels and by research question, along with their definition and a description on when the code is applicable,</li> <li>tab <em>Code Count</em>: the number of occurrence of each code in the transcripts,</li> <li>tab <em>Clustering Tactics</em>: the thematic analysis performed on the codes with level 1 "tactic". Corresponds to the Table III in the paper</li> </ul> </li> </ul> <p>For privacy reason, all names are removed and the transcript and audio recording are not part of this replication package.</p>
Data from: Bet hedging is not sufficient to explain germination patterns of a winter annual plant
<div> <div> <div> <p>Bet hedging consists of life history strategies that buffer against environmental variability by trading off immediate and long-term fitness. Delayed germination in annual plants is a classic example of bet hedging and is often invoked to explain low germination fractions. We examined whether bet hedging explains low and variable germination fractions among 20 populations of the winter annual plant <em>Clarkia</em> <em>xantiana</em> ssp. <em>xantiana</em> that experience substantial variation in reproductive success among years. Leveraging 15 years of demographic monitoring and 3 years of field germination experiments, we assessed the fitness consequences of seed banks and compared optimal germination fractions from a density-independent bet-hedging model to observed germination fractions. We did not find consistent evidence of bet hedging or the expected trade-off between arithmetic and geometric mean fitness, though delayed germination increased long-term fitness in 7 of 20 populations. Optimal germination fractions were 2 to 5 times higher than observed germination fractions, and among-population variation in germination fractions was not correlated with risks across the life cycle. Our comprehensive test suggests that bet hedging is insufficient to explain the observed germination patterns. Understanding variation in germination strategies will likely require integrating bet hedging with complementary forces shaping the evolution of delayed germination.</p> </div> </div> </div>
Generic injuries are sufficient to induce ectopic Wnt organizers in Hydra
Open the record for dataset details and reuse information.
Data from: How many specimens make a sufficient training set for automated three dimensional feature extraction?
Open the record for dataset details and reuse information.
Data from: Bet hedging is not sufficient to explain germination patterns of a winter annual plant
Open the record for dataset details and reuse information.
Data from: Variation in season length and development time is sufficient to drive the emergence and coexistence of social and solitary behavioral strategies
Open the record for dataset details and reuse information.
Conditionally deleterious mutation load accumulates in genomic islands but can be purged with sufficient genotypic redundancy
Open the record for dataset details and reuse information.
Hedgehog signaling is necessary and sufficient to mediate craniofacial plasticity in teleosts
<p>Phenotypic plasticity, the ability of a single genotype to produce multiple phenotypes under different environmental conditions, is critical for the origins and maintenance of biodiversity; however, the genetic mechanisms underlying plasticity as well as how variation in those mechanisms can drive evolutionary change remain poorly understood. Here, we examine the cichlid feeding apparatus, an icon of both prodigious evolutionary divergence and adaptive phenotypic plasticity. We first provide a tissue-level mechanism for plasticity in craniofacial shape by measuring rates of bone deposition within functionally salient elements of the feeding apparatus in fishes forced to employ alternate foraging modes. We show that levels and patterns of phenotypic plasticity are distinct among closely related cichlid species, underscoring the evolutionary potential of this trait. Next, we demonstrate that hedgehog (Hh) signaling, which has been implicated in the evolutionary divergence of cichlid feeding architecture, is associated with environmentally induced rates of bone deposition. Finally, to demonstrate that Hh levels are the cause of the plastic response and not simply the consequence of producing more bone, we use transgenic zebrafish in which Hh levels could be experimentally manipulated under different foraging conditions. Notably, we find that the ability to modulate bone deposition rates in different environments is dampened when Hh levels are reduced, whereas the sensitivity of bone deposition to different mechanical demands increases with elevated Hh levels. These data advance a mechanistic understanding of phenotypic plasticity in the teleost feeding apparatus and in doing so contribute key insights into the origins of adaptive morphological radiations.</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.