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.
466
datasets available to search
ShareScore release 0.9.0
Dataset results
466 results for “contract”
Under the radar: genetic assessment of Rio Grande Shiner (Notropis jemezanus) and Speckled Chub (Macrhybopsis aestivalis), two Rio Grande basin endemic cyprinids that have experienced recent range contractions
<p>The Rio Grande drainage of the southwestern United States and Mexico has undergone intense anthropogenic alteration by water diversions, extraction and associated habitat changes. These alterations have disproportionately impacted the pelagic broadcast spawning guild of minnows (pelagophils). Several Rio Grande endemic pelagophils, including the co-occurring Rio Grande Shiner (<i>Notropis jemezanus</i>) and Speckled Chub (<i>Macrhybopsis aestivalis</i>), have experienced dramatic recent range-wide declines yet have slipped under the radar of conservation efforts. The status of <i>N. jemezanus </i>and <i>M. aestivalis </i>in the Rio Grande and Pecos River was evaluated and standing genetic variation were characterized. Genetic evidence indicates that populations of both species found in the Rio Grande and Pecos River are genetically distinct. Additionally, 159 outlier loci were identified in <i>M. aestivalis </i>suggesting possible local adaptation in the Rio Grande and Pecos River populations. Though range-wide genetic data are limited, <i>N. jemezanus </i>populations in both rivers harbor considerable genetic diversity. Mitochondrial data from both taxa are consistent with a history of secondary contact between formerly isolated populations with deeply divergent haplotypes found within the Rio Grande and Pecos River populations of <i>N. jemezanus </i>and within the Rio Grande population of <i>M. aestivalis.</i> Extensive survey efforts in the lower Rio Grande and its tributaries in Texas document significant range contraction and near extirpation of <i>N. jemezanus </i>from this part of the basin; highlighting the need for immediate action to protect the species. </p>
Weak founder effects but significant spatial genetic imprint of recent contraction and expansion of European beech populations.
Understanding the ecological and evolutionary processes occurring during species range shifts is important in the current context of global change. Here, we investigate the interplay between recent expansion, gene flow and genetic drift, and their consequences for genetic diversity and structure at landscape and local scales in European beech (Fagus sylvatica L.) On Mont Ventoux, South-Eastern France, we located beech forest refugia at the time of the most recent population minimum, approximately 150 years ago, and sampled 71 populations (2042 trees) in both refugia and expanding populations over an area of 15,000 ha. We inferred patterns of gene flow and genetic structure using 12 microsatellite markers. We identified six plots as originating from planting, rather than natural establishment, mostly from local genetic material. Comparing genetic diversity and structure in refugia versus recent populations did not support the existence of founder effects: heterozygosity (He = 0.667) and allelic richness (Ar = 4.298) were similar, and FST was low (0.031 overall). Still, significant spatial evidence of colonization was detected, with He increasing along the expansion front, while genetic differentiation from the entire pool (βWT) decreased. Isolation by distance was found in refugia but not in recently expanding populations. Our study indicates that beech capacities for colonization and gene flow were sufficient to preserve genetic diversity despite recent forest contraction and expansion. Because beech has long distance pollen and seed dispersal, these results illustrate a 'best case scenario' for the maintenance of high genetic diversity and adaptive potential under climate-change related range change.
The visualization of the dynamics of the empirical liquidity cost function (for the Brent futures contracts)
<p>The dynamics of the <strong>empirical liquidity cost function</strong> for a futures contract for Brent oil is presented. The top panel shows the empirical liquidity cost function. The bottom panel shows the dynamics of the average price of a futures contract. The time interval between each value is 5 seconds. Visualization is performed in accelerated mode.</p>
Data from: A complex pattern of post-divergence expansion, contraction, introgression and asynchronous responses to Pleistocene climate changes in two Dipelta sister species from western China
The well-known vicariance and dispersal models dominate in understanding the allopatric pattern for related species and presume the simultaneous occurrence of speciation and biogeographic events. However, the formation of allopatry may postdate the species divergence. We examined this hypothesis using DNA sequence data from 3 chloroplast fragments and 5 nuclear loci of Dipelta floribunda and D. yunnanensis, two shrub species with the circum Sichuan Basin distribution, combining the climatic niche modeling approach. The best-fit model supported by the approximate Bayesian computation (ABC) analysis indicated that, D. floribunda and D. yunnanensis diverged during the mid-Pleistocene period, consistent with the largest glacial period in the Qinghai-Tibet Plateau (QTP). The historically inter-specific gene flow was identified but seemed to have ceased after the last interglacial period (LIG), when the range of D. floribunda moved northward from the south of the Sichuan Basin. Further, populations of D. floribunda had expanded obviously in the north of the Sichuan Basin after the last glacial maximum (LGM). Relatively, the range of D. yunnanensis expanded before the LGM, reduced during the post-LGM especially in the north of the Sichuan Basin, reflecting the asynchronous responses of related species to the contemporary climate changes. Our results suggested that complex topography should be considered in understanding the distributional patterns even for closely related species and their demographic responses.
Contractions, movement and projections in the model sponge Tethya wilhelma
<p>Video based on a photo series of the model sponge Tethya wilhelma. It shows contractions, movement and projections in this sponge.</p>
Dataset for: "Gas buffering of magma chamber contraction during persistent explosive activity at Mt. Etna volcano"
<p>Data used for generating the figures in the paper "Gas buffering of magma chamber contraction during persistent explosive activity at Mt. Etna volcano", accepted for publication in Nature Communications Earth & Environment.</p>
The Paradox of Innovation Non-Disclosure: Evidence from Licensing Contracts - Miscellaneous Public Data
<p>Various datasets</p> <p> </p> <ol> <li>Hoberg Phillips data library</li> <li>Kempf Manconi Spalt distraction data</li> </ol> <p> </p> <p> </p> <p><span><strong>All links in our collection</strong></span></p> <p>EDGAR Log Batch 1: <a href="../records/10403941">https://zenodo.org/records/10403941</a></p> <p>EDGAR Log Batch 2: <a href="../records/10404834">https://zenodo.org/records/10404834</a></p> <p>EDGAR Log Batch 3: <a href="../records/10404840">https://zenodo.org/records/10404840</a></p> <p>EDGAR Log Batch 4: <a href="../records/10404846">https://zenodo.org/records/10404846</a></p> <p>EDGAR Log Batch 5: <a href="../records/10404858">https://zenodo.org/records/10404858</a></p> <p>EDGAR Log Batch 6: https://zenodo.org/records/10408818</p> <p>EDGAR Log Batch 7 : <a href="../records/10408820">https://zenodo.org/records/10408820</a></p> <p>Patent data: <a href="../records/10426559">https://zenodo.org/records/10426559</a></p> <p>Miscelleanous data: <a href="../records/10440397">https://zenodo.org/records/10440397</a></p> <p> </p>
Additional Resources for End-user Comprehension of Transfer Risks in Smart Contracts
<p>Google Docs versions of most of the PDFs can be found on https://linktr.ee/tethersurvey</p> <p> </p> <p>Additionally, a survey data visualizer is found on https://tether-survey.onrender.com/</p> <p> </p>
Additional Resources for Understanding End-User Perception of Transfer Risks in Smart Contracts
<p>This contains further resources for the work titled "Understanding End-User Perception of Transfer Risks in Smart Contracts", which is set to appear in CHI 2025.</p> <p>This work details an investigation into user understanding of transfer risks in ERC-20 blockchain smart contracts. An example transfer risk is a user being unable to transfer due to their account being blacklisted by the owner of the contract.</p> <p>A large portion of this work focuses on the most popular Ethereum smart contract (USD Tether). This details responses to a 110-participant survey on smart contract users, establishing their knowledge of transfer risks and various other perceptions. Included also are the results of statistical tests on these responses, the follow-up message to the respondents and more.</p> <p>Another portion of this work investigates the presence of transfer risks in other top ERC-20 contracts. The results of this investigation is also found here.</p> <p>This also includes results of blockchain analytics to establish the top ERC-20 addresses, as well as code used for processing.</p>
Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2
<p>Simulated output for: Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2</p>
Classification and structural analysis of value chain contracts for biodiversity conservation in the European Union
<p><span>The data provided by this dataset are the raw data published in the paper "<strong>Classification and structural analysis of value chain contracts for biodiversity conservation in the European Union</strong>" (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.sftr.2024.100372" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/j.sftr.2024.100372</span></span></a>). </span></p>
Linear contraction of stress fibers generates cell body rotation
<p>Raw image data and numerical data used to generate plots and graphs included in the manuscript. Raw sequential images to make supplementary movies.</p>
How are Solidity smart contracts tested in open source projects? An exploratory study
<p>A dataset with 139 Github Solidity projects containing information about testing files, testing tools, and testnets that each project uses.</p>
Modelling and Enforcing Access Control Requirements for Smart Contracts - Data Set
<p>This data set contains all artifacts for the master thesis of Jan-Philipp Töberg at the Karlsruher Institute of Technology. This includes the Eclipse project for the metamodel and the generator, the extension of the Slither framework and the use case instances employed during the evaluation. Additionally, extensive instructions regarding the installation and usage are provided.</p>
SmartEmbed Code Clone Analysis of 200 000 Smart Contracts
<p>A dataset consisting of the code clone analysis for 200 000 Ethereum Smart Contracts via the code clone detection tool <a href="https://github.com/beyondacm/SmartEmbed">SmartEmbed</a> (state as is at commit 32ec1cd) . Each Smart Contract has been tested for a similarity threshold of 95% similarity and a threshold of 100% similarity. </p> <p>The result folder offers 255 CSV files, all containing the colums: counter,id of the contract, result for 95%, result for 100%.<br> Possible results for the colum 'result for 95%' are '95' (identified as a code clone with at least 95% similarity), '0' (not a code clone) and null (SmartEmbed returned an error). Similarily for the colum 'result for 100%'.</p> <p>The folder 'Additional_output_per_batch' contains additional data for each batch in .txt files (runtime, ratio of clones to non clones, number of errounous responses, id's of the contracts that could not be analyzed).</p>
Mechanisms underlying altitudinal and horizontal range contraction: The western black crested gibbon
<p>Aim: Species ranges in mountain areas may shift both horizontally and altitudinally, resulting from climate change and anthropogenic impact. Two hypotheses (the abundant center hypothesis and the contagion hypothesis) have been proposed to account for patterns of horizontal range contraction. However, undulating topograph causes a mosaic of unsuitable habitats, which may complicate the spatial pattern of range contraction. We develop a framework incorporating horizontal and altitudinal range contraction patterns of a species living in mountain areas, to better understand the underlying mechanisms of species range contraction.</p> <p>Location: China, North Laos, and North Vietnam</p> <p>Taxon: Western black crested gibbon, <i>Nomascus concolor</i></p> <p>Methods: We collected occurrence data of the gibbons from various sources and modelled their potential distribution range in the 1950s, 1980s, and 2010s, using ecological niche modelling. We compared distances from the center point of the potential range in 1950s to center points of the largest 100 patches in the 1950s and the 2010s to understand the patterns of horizontal range contraction. We also calculated potential distribution within different altitudinal range for six populations in each period to understand the patterns of altitudinal range contraction.</p> <p>Results: Potential horizontal distribution of the gibbons decreased by 69% from the 1950s to the 2010s. We found the 100 largest patches in 2010s were further apart from the center point of the potential range in 1950s compared to the 100 largest patches in 1950s, supporting the contagion hypothesis. No populations extended their range to higher altitude, suggesting climate change did not have a profound effect on gibbon range upward shift. All populations lost a substantial proportion of their ranges in lower altitude (500 – 1,500 m) but to different degrees, suggesting that populations experienced different anthropogenic pressures.</p> <p>Main conclusions: Anthropogenic threats probably including human population increase, agricultural expansion and hunting, were more likely than climate change to have caused range contraction in western black-crested gibbons. This study highlights the importance of studying horizontal and altitudinal range contraction simultaneously.</p>
Data from: Occurrence-habitat mismatching and niche truncation when modelling distributions affected by anthropogenic range contractions
<p><strong>Aims: </strong>Human-induced pressures such as deforestation cause anthropogenic range contractions (ARCs). Such contractions present dynamic distributions that may engender data misrepresentations within species distribution models. The temporal bias of occurrence data—where occurrences represent distributions before (past bias) or after (recent bias) ARCs—underpins these data misrepresentations. Occurrence-habitat mismatching results when occurrences sampled before contractions are modelled with contemporary anthropogenic variables; niche truncation results when occurrences sampled after contractions are modelled without anthropogenic variables. Our understanding of their independent and interactive effects on model performance remains incomplete but is vital for developing good modelling protocols. Through a virtual ecologist approach, we demonstrate how these data misrepresentations manifest and investigate their effects on model performance.</p> <p><strong>Location:</strong> Virtual Southeast Asia</p> <p><strong>Methods:</strong> Using 100 virtual species, we simulated ARCs with 100-year land-use data and generated temporally biased (past, recent) occurrence datasets. We modelled datasets with and without a contemporary land-use variable (conventional modelling protocols) and with a temporally dynamic land-use variable. We evaluated each model's ability to predict historical and contemporary distributions.</p> <p><strong>Results:</strong> Greater ARC resulted in greater occurrence-habitat mismatching for datasets with past bias and greater niche truncation for datasets with recent bias. Occurrence-habitat mismatching prevented models with the contemporary land-use variable from predicting anthropogenic-related absences, causing overpredictions of contemporary distributions. Although niche truncation caused underpredictions of historical distributions (environmentally suitable habitats), incorporating the contemporary land-use variable resolved these underpredictions, even when mismatching occurred. Models with the temporally dynamic land-use variable consistently outperformed models without.</p> <p><strong>Main conclusions:</strong> We showed how these data misrepresentations can degrade model performance, undermining their use for empirical research and conservation science. Given the ubiquity of anthropogenic range contractions, these data misrepresentations are likely inherent to most datasets. Therefore, we present a three-step strategy for handling data misrepresentations: maximise the temporal range of anthropogenic predictors, exclude mismatched occurrences, and test for residual data misrepresentations.</p>
A Review of Smart Contract Vulnerability Datasets
<p> Dataset of the studies included and excluded from a review of smart contracts vulnerability datasets.</p>
The dataset of the OOPSLA'22 paper "A Study of Inline Assembly in Solidity Smart Contracts"
<p>This dataset includes:</p> <ul> <li> <em><strong>dataset.csv</strong></em>: A CSV file with all the addresses of contracts with at least one transaction or a token transfer, along with the number of transactions of the contract, the number of unique callers of this contract, the number of token transfers, its balance, a boolean value to declare if the contract is an ERC20 contract, a boolean value to declare if the contract is an ERC721 contract, and its timestamp (i.e., block number).</li> <li><em><strong>contracts.csv</strong></em>: A file with all the addresses of contracts with at least one transaction or a token transfer.</li> <li><em><strong>json{1..2}/</strong></em>: These directories contain a JSON file for each contract address regardless of if its source code is available. Each JSON contains the source code (if available), the ABI (if available), the version of the compiler it was used to compile the contract, optimization options used (if available), and some additional fields such as license type and EVM version. Note that there are two directories because it is not possible to save all files into a single directory.</li> <li><em><strong>sol/</strong></em>: The source code for all contracts that have their code verified in <a href="https://etherscan.io">https://etherscan.io</a>. If there are multiple source files compiled into one smart contract, then we create a directory with the name of the address, and we save the files into this directory. Otherwise; we directly save the smart contract in a filename named after the address.</li> <li><em><strong>duplicates.json</strong></em>: A map from an address to a hash and a map from hashes to addresses.</li> </ul> <pre><code class="language-json">{ "hashes": { "hash1": ["address1", "address2"] }, "addresses": { "address1": "hash1" } }</code></pre> <p> </p> <ul> <li><em><strong>unique_addresses.txt</strong></em>: A file that contains all unique addresses.</li> <li><em><strong>unique_paths.txt</strong></em>: A file that contains the paths for all unique addresses.</li> <li><em><strong>unique_lines.csv</strong></em>: A CSV file that contains unique paths and their LOC.</li> <li><em><strong>assembly/</strong></em>: A directory with all the addresses that could potentially include inline assembly fragments. Note that this directory could contain false positives as the work `assembly` could exist only in the comments.</li> <li><em><strong>parser/</strong></em>: This directory contains JSON files with the analysis results for all contracts in the <em><strong>assembly/</strong></em> directory.</li> </ul>
The database of the OOPSLA'22 paper "A Study of Inline Assembly in Solidity Smart Contracts"
<p>This dataset includes (1) a csv file containing the addresses of all contracts deployed in the Ethereum mainet with at least one transaction, and (2) the database used for analyzing Solidity inline assembly fragments in the OOPSLA'22 paper "A Study of Inline Assembly in Solidity Smart Contracts."</p> <p> </p> <p>You can access the complete and the latest version of the artifact of this paper at <a href="https://github.com/StefanosChaliasos/solidity-inline-assembly">https://github.com/StefanosChaliasos/solidity-inline-assembly</a></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.