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.
885
datasets available to search
ShareScore release 0.9.0
Dataset results
885 results for “data strategy”
Data from: Mechanism matters: the cause of fluctuations in boom-bust populations governs optimal habitat restoration strategy
Many populations exhibit boom-bust dynamics in which abundance fluctuates dramatically over time. Past research has focused on identifying whether the cause of fluctuations is primarily exogenous, e.g., environmental stochasticity coupled with weak density dependence, or endogenous, e.g., over-compensatory density dependence. Far fewer studies have addressed whether the mechanism responsible for boom-bust dynamics matters with respect to at-risk species management. Here, we ask whether the best strategy for restoring habitat across a landscape differs under exogenously versus endogenously driven boom-bust dynamics. We used spatially explicit individual-based models to assess how butterfly populations governed by the two mechanisms would respond to habitat restoration strategies that varied in the level of resource patchiness – from a single large patch to multiple patches spaced at different distances. Our models showed that the restoration strategy that minimized extinction risk and boom-bust dynamics would be markedly different depending on the governing mechanism. Exogenously governed populations fared best in a single large habitat patch, whereas for endogenously driven populations, boom-bust dynamics were dampened and extinction risk declined when the total restored area was split into multiple patches with low to moderate inter-patch spacing. Adding environmental stochasticity to the endogenous model did not alter this result. Habitat fragmentation lowered extinction risk in the endogenously driven populations by reducing their growth rate, precluding both "boom" phases and, more importantly, "bust" phases. Our findings suggest that: 1) successful restoration will depend on understanding the causes of fluctuations in at-risk populations; 2) the level and pattern of spatiotemporal environmental heterogeneity will also affect the ideal management approach; and 3) counter-intuitively, for at-risk species with endogenously governed boom-bust dynamics, lowering the intrinsic population growth rate may decrease extinction risk.
Data from: Forests as promoters of terrestrial life history strategies in East African amphibians
Many amphibian lineages show terrestrialization of their reproductive strategy and breeding is partially or completely independent of water. A number of causal factors have been proposed for the evolution of terrestrialized breeding. While predation has received repeated attention as a potential factor, the influence of others such as habitat has never been tested using appropriate data or methods. Using a dataset that comprises 180 amphibian species from various East African habitats, we tested whether species occurring in different habitats show different patterns of terrestrialization in their breeding strategy. We recovered a significant association between terrestrialized breeding strategies and forest habitats. In general, forest seems to act as a facilitator, providing a permissive environment for the evolution of terrestrialized breeding strategies. However, while terrestrial oviposition is strongly correlated with lowland and montane forest habitat, complete terrestrial development is significantly correlated with montane forest only, indicating different selective pressures acting at different steps towards complete terrestrial development.
Data in support of "Self-adaptive multi-objective climate policies align mitigation and adaptation strategies"
<p>The simulation model, the characterization of uncertainties, the calibration of the surrogate econometric damages model, and the simulation version of the FAIR climate model are available together with the optimization outputs and the scripts for replicating the figures of the paper.</p>
Data from: Continuous inbreeding affects genetic variation, phenology and reproductive strategy in ex situ cultivated Digitalis lutea
<p>Data from several experiments studying population differences between a wild and a botanic garden population and effects of different hand-pollination treatments on various traits of the short-lived perennial plant <em>Digitalis lutea</em>. Separate spreadsheets contain data on 1) genetic variation using ISSR markers, 2) effects of pollination treatments on seed number and seed mass, 3) differences in germination, 4) various traits studied in a common garden experiment, 5) effects of population and pollination treatments on pollinator visitation.</p> <p>See publication in American Journal of Botany (2022) for details.</p> <p><strong>Abstract:</strong></p> <p><strong>Premise</strong>: Ex situ cultivation is important for plant conservation, but cultivation in small populations may result in genetic changes by drift, inbreeding or unconscious selection. Repeated inbreeding potentially influences not only plant fitness, but also floral traits and interactions with pollinators, which has not yet been studied in an ex situ context.</p> <p><strong>Methods</strong>: We studied the molecular genetic variation of <em>Digitalis lutea</em> L. from a botanic garden population cultivated for 30 years, a frozen seed bank conserving the original genetic structure, and two current wild populations including the source population. In a common garden we studied the effects of experimental inbreeding and between-population crosses on performance, reproductive traits and flower visitation of plants from the garden and a wild population.</p> <p><strong>Results</strong>: Significant genetic differentiation was found between the garden population and the wild population from which the seeds had originally been gathered. After experimental selfing, inbreeding depression was only found in germination and leaf size of plants from the wild population, indicating a history of inbreeding in the smaller garden population. Moreover, garden plants flowered earlier and showed floral traits related to selfing, whereas wild plants showed traits related to attracting pollinators. Bumblebees visited more flowers of outbred than inbred plants and of wild than garden plants.</p> <p><strong>Conclusions</strong>: Our case study suggests that high levels of inbreeding during ex situ cultivation can influence reproductive traits and thus interactions with pollinators. Together with the effects of genetic erosion and unconscious selection this may affect the success of reintroductions into natural habitats.</p> <p> </p>
Supplementary material 2 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
EU BON conducted a survey to assess how willing are researchers to recruit volunteers in their work, what are the main effects, motivators and hindrances.
Supplementary material 3 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Citizen science and biodiversity observations – EU BON best practice cases of initiatives, systems and tools.
Parameters and data set for all baseline methods used to formulate and evaluate the ligand NTBs-based strategy
Open the record for dataset details and reuse information.
A translation-independent directed evolution strategy to engineer aminoacyl-tRNA synthetases_NGS data analysis
<p>These data files are associated with the NGS analysis done in the publication :"A translation-independent directed evolution strategy to engineer aminoacyl-tRNA synthetases". This compressed file contains the raw file as well as the processed files to arrive at the conclusions published. The python scripts used for processing the data are available on github (link provided in the manuscript).</p>
Data availability: Clustered and rotating designs as a strategy to obtain precise detection rates in camera trapping studies
<p>Manuscript data "Clustered and rotating designs as a strategy to obtain precise detection rates in camera trapping studies" published in Journal of Applied Ecology. R code to replicate the simulations can be found in the supplementary materials of the manuscript.</p>
Data for "Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure"
<p>New York City contact network data used in the publication “<a href="https://doi.org/10.1016/j.socnet.2024.06.003">Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure</a>” (LA-UR-23-26868). This contact network comes in the form of a weighted edge list. Each row describes an edge, with the first and second column containing the labels of the nodes connected by the edge, and the third column contains the corresponding weight of the edge. In this network, an edge encodes an interaction between two individuals and the weight describes the duration of the interaction in seconds. In total the edge list describes 6,376,729,847 interactions among 6,813,615 individuals; the first 10 interactions are listed below as an example.</p> <p>2, 1, 84121<br>4, 3, 83654.4<br>5, 3, 79591.4<br>5, 4, 87642<br>6, 3, 79853<br>6, 4, 81604<br>6, 5, 79146<br>8, 7, 80604<br>10, 9, 84259.6<br>12, 11, 68990.8</p> <p> </p> <p>This work is approved for public distribution under LA-UR-24-25046.</p>
Supporting data for "Assessing GFDL-ESM4.1 Climate Responses to a Stratospheric Aerosol Injection Strategy Intented to Avoid Overshoot 2.0°C Warming"
<p>Supporting data for our work on GRL. You will find:</p> <p> - Post-processed data from GFDL-ESM4.1 ssp534os and ssp534os-sai experiments,</p> <p> - python codes for generating the plots in the manuscript.</p>
A strategy to validate protein function predictions in vitro - accompanying data
<p>This repository contains the ProteinCartography analyses that accompany the pub "<a href="https://doi.org/10.57844/arcadia-cae9-96c4">A strategy to validate protein function predictions <em>in vitro</em></a><a href="https://doi.org/10.57844/arcadia-cae9-96c4">."</a> These proteins were selected from a list of the 200 most studied human proteins in the Protein Data Bank (PDB) which was published in <a href="https://onlinelibrary.wiley.com/doi/10.1002/pro.4038">Liu and Buck, 2021</a>. </p> <p>Each analysis was done using <a href="https://github.com/Arcadia-Science/ProteinCartography/releases/tag/v0.5.0">v0.5.0</a> of ProteinCartography using the standard configuration parameters. Each analysis is in its own zipped file corresponding to the protein name. The zipped files contain inputs, configuration files, all the structures, and all ProteinCartography results. Additionally, for a handful of the proteins, we ran a scaled-up version of ProteinCartography asking for 10,000 hit proteins instead of the standard. These are also included with the file prefix "Scaled-up_". </p> <p>Finally, we've decided to move forward with 2 protein families for validation of our tool, ProteinCartography. These protein families are <a href="https://doi.org/10.57844/arcadia-1e5d-e272">deoxycytidine kinase</a> and <a href="https://doi.org/10.57844/arcadia-74ad-345f">Ras GTPase</a>. For more about these two protein families, visit the mentioned pubs! </p>
Data for "Improving semantic video retrieval models by training with a relevance-aware online mining strategy"
<p>This repository contains all the data available for the publication:</p> <p><a href="https://doi.org/10.1016/j.cviu.2024.104035">Alex Falcon, Giuseppe Serra, and Oswald Lanz. <em>Improving semantic video retrieval models by training with a relevance-aware online mining strategy</em>. <strong>Computer Vision and Image Understanding</strong>. 2024.</a></p> <p>Code is available at: <a href="https://github.com/aranciokov/ranp/">https://github.com/aranciokov/ranp/</a></p> <p>The data includes:</p> <ul> <li>pre-extracted features (ordered_feature_*.zip files)</li> <li>annotations, such as pre-extracted semantic graphs, glove checkpoints, class annotations, etc (annotations_*.zip files)</li> <li>train/val/test, when available, split information (public_split_*.zip) files</li> <li>pretrained models for HGR and EAO (details in the github repo)</li> </ul>
Data of a meta analytical review on instructional strategies used in shared text reading for students with intellectual disability.
<p><span>The data provided was collected in the context of a meta analytical review entitled: “<strong>Effects of Shared Text Reading for Students With Intellectual Disability: A Meta-analytical Review of Instructional Strategies”</strong>conducted by R. Sermier Dessemontet, M. Geyer, A-L. Linder, M. Atzemian, C. Martinet, N. Meuli, C. Audrin, and A-F. de Chambrier, and published in the journal “Educational Research Review”.. The objective of the meta-analytical review was to measure the effect of shared text reading on the listening comprehension skills of students with ID and to identify efficient instructional strategies to teach these students listening comprehension. 22 single-case experimental studies were included in this meta-analysis. Data from each participant in each study was extracted and transformed into percentages of independent correct responses. Effect size estimates were performed based on these percentages.</span></p> <p><span>The shared data contains the following: raw data from each participant used for effect size estimate calculations, a table presenting effect size estimates and moderator-coding for each participant in each study, and the statistical analysis script. A pdf describing meta-data (meta-data_meta-analysis.pdf) is also provided for more information on each available document and describes data. </span></p>
Frequency Response Expansion Strategy for Nonlinear Structures - Data
<p>Dataset for: "Frequency Response Expansion Strategy for Nonlinear Structures".<br> Authors: Xing Wang, Thomas L. Hill, Simon A. Neild.<br> Journal: Mechanical Systems and Signal Processing.</p>
Setup and results data for the dissemination strategies
<p>Experiment setup and main results data considering the comparison of the different dissemination strategies</p>
Data and scripts for "Seascape genomics as a new tool to empower coral reef conservation strategies: an example on north-western Pacific Acropora digitifera."
<p>The archive contains scripts and data used in the work "Seascape genomics as a new tool to empower coral reef conservation strategies: an example on north-western Pacific Acropora digitifera."</p> <p>See the readme_metadata.pdf for a description of the files in the archive.</p>
Data for "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"
<p>Data employed for the paper "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"<br><br>Abstract<br>This study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical evidence to model impacts on: i) air-conditioning demand; ii) thermal power outages; iii) hydro-power generation shortages. Using a power dispatch and capacity expansion model, we analyse the Italian power system's response to these climate impacts in 2030, integrating mitigation targets and optimising for cost-efficiency at an hourly resolution. We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. We find that addressing extreme weather in power system planning will require an extra 5-8 GW of photovoltaic (PV) capacity, on top of the 50 GW of the additional solar PV capacity required by the mitigation target alone. Despite the higher initial investments, we find that the adoption of renewable technologies, especially PV, alleviates the power system's vulnerability to climate change and extreme weather events. In fact, renewable energy sources are generally less vulnerable to the impacts of climate change, such as rising temperatures and shifting precipitation patterns, compared to thermal power and hydropower generation. Furthermore, enhancing short-term storage with lithium-ion batteries is crucial to counterbalance the reduced availability of dispatchable hydro generation.</p>
Associated data for "Optimisation strategies for directed evolution without sequencing"
<p>Associated publication available at https://www.biorxiv.org/content/10.1101/2024.03.18.585521v1. Code for visualisation available at https://github.com/nesou2/direvo_sim (PLOS_figures/PLOS_figures.ipynb).</p>
Data from: Less favorable climates constrain demographic strategies in plants
Correlative species distribution models are based on the observed relationship between species' occurrence and macroclimate or other environmental variables. In climates predicted less favourable populations are expected to decline, and in favourable climates they are expected to persist. However, little comparative empirical support exists for a relationship between predicted climate suitability and population performance. We found that the performance of 93 populations of 34 plant species worldwide – as measured by in situ population growth rate, its temporal variation and extinction risk – was not correlated with climate suitability. However, correlations of demographic processes underpinning population performance with climate suitability indicated both resistance and vulnerability pathways of population responses to climate: in less suitable climates, plants experienced greater retrogression (resistance pathway) and greater variability in some demographic rates (vulnerability pathway). While a range of demographic strategies occur within species' climatic niches, demographic strategies are more constrained in climates predicted to be less suitable.
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.