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.
3,121
datasets available to search
ShareScore release 0.9.0
Dataset results
3,121 results for “Resources”
Online companion - A New Cooperative Framework for a Fair and Cost-Optimal Allocation of Resources within a Low Voltage Electricity Community
<p>Simulation parameters used for the article "A New Cooperative Framework for a Fair and Cost-Optimal Allocation of Resources within a Low Voltage Electricity Community" submitted for review in IEEE Transactions on Smart grid</p>
Resource and Load Compatibility Assessment of Wind Energy Offshore of Humboldt County, California: Data and Software
<p>These files contain the raw data and code used to analyzed wind resource and local load compatibility of offshore wind in Humboldt, California.</p>
Data for "Applying Heat and Humidity using Stove Boiled Water for Decontamination of N95 Respirators in Low Resource Settings"
<p>Raw Data</p>
Data from: Limited evidence for spatial resource partitioning across temperate grassland biodiversity experiments
Locally, plant species richness supports many ecosystem functions. Yet, the mechanisms driving these often-positive biodiversity–ecosystem functioning relationships are not well understood. Spatial resource partitioning across vertical resource gradients is one of the main hypothesized causes for enhanced ecosystem functioning in more biodiverse grasslands. Spatial resource partitioning occurs if species differ in where they acquire resources and can happen both above- and belowground. However, studies investigating spatial resource partitioning in grasslands provide inconsistent evidence. We present the results of a meta-analysis of 21 datasets from experimental species-richness gradients in grasslands. We test the hypothesis that increasing spatial resource partitioning along vertical resource gradients enhances ecosystem functioning in diverse grassland plant communities above- and belowground. To test this hypothesis, we asked three questions: 1. Does species richness enhance biomass production or community resource uptake across sites? 2. Is there evidence of spatial resource partitioning as indicated by resource tracer uptake and biomass allocation above- and belowground? 3. Is evidence of spatial resource partitioning correlated with increased biomass production or community resource uptake? Although plant species richness enhanced community nitrogen and potassium uptake and biomass production above- and belowground, we found that plant communities did not meet our criteria for spatial resource partitioning, though they did invest in significantly more aboveground biomass in higher canopy layers in mixture relative to monoculture. Furthermore, the extent of spatial resource partitioning across studies was not positively correlated with either biomass production or community resource uptake. Our results suggest that spatial resource partitioning across vertical resource gradients alone does not offer a general explanation for enhanced ecosystem functioning in more diverse temperate grasslands.
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages
<p>We present Afro-MNIST, a set of synthetic MNIST-style datasets for four orthographies used in Afro-Asiatic and Niger-Congo languages: Ge`ez (Ethiopic), Vai, Osmanya, and N'Ko.<br> These datasets serve as ``drop-in'' replacements for MNIST. We hope that MNIST-style datasets will be developed for other numeral systems, and that these datasets vitalize machine learning education in underrepresented nations in the research community.</p>
Resources for gasAcu1-4, a new stickleback reference genome
<p><em>gasAcu1-4</em> is a new version of the stickleback reference genome. It only minorly differs from the 2017 Hi-C guided assembly by Peichel, Sullivan, Liachko, and White (https://doi.org/10.1093/jhered/esx058) to improve the subtelomeric <em>Pitx1</em> locus and the mitochondrial genome. We here present basic resources for utilizing this version of the reference genome: the fasta sequence of the assembly and liftOver chains for converting coordinates between this reference version and the original (Broad S1) <em>gasAcu1 </em>assembly (https://www.nature.com/articles/nature10944).</p> <p>This assembly can be visualized and other data downloaded via the Table Browser of the UCSC Genome Browser by copying the following track hub URL into the "My Hubs" tab at https://genome.ucsc.edu/cgi-bin/hgHubConnect: https://sbwdev.stanford.edu/kingsleyAssemblyHub/hub.txt.</p>
Role of iodine oxoacids in atmospheric aerosol nucleation: data resources
<p>Data for manuscript "Role of iodine oxoacids in atmospheric aerosol nucleation"</p>
Dataset for "Understanding New Zealand's Wind Resources as a Route to 100% Renewable Electricity"
<p>This package contains the simulated power output from individual wind farms in New Zealand, at half-hourly resolution over the period 1995 to 2016. This data underpins the paper “Understanding New Zealand’s Wind Resources as a Route to 100% Renewable Electricity”, submitted to Renewable Energy.</p> <p>The three data files contain the hourly time-series of simulated capacity factors for individual wind farms in New Zealand. They give the capacity factors for existing, proposed and suggested wind farms, which are defined in the paper named above. Metadata on these farms is given in the fourth file.</p> <p>Capacity factors are given in the range of [0, 1]. Two timestamps are given, in Greenwich Mean Time and local time (which switches between New Zealand Standard Time and New Zealand Daylight Time).</p>
Data from: A resource-rational theory of set size effects in human visual working memory
Encoding precision in visual working memory decreases with the number of encoded items. Here, we propose a normative theory for such set size effects: the brain minimizes a weighted sum of an error-based behavioral cost and a neural encoding cost. We construct a model from this theory and find that it predicts set size effects. Notably, these effects are mediated by probing probability, which aligns with previous empirical findings. The model accounts well for effects of both set size and probing probability on encoding precision in nine delayed-estimation experiments. Moreover, we find support for the prediction that the total amount of invested resource can vary non-monotonically with set size. Finally, we show that it is sometimes optimal to encode only a subset or even none of the relevant items in a task. Our findings raise the possibility that cognitive "limitations" arise from rational cost minimization rather than from constraints.
Data from: Sensory deficiencies affect resources selection and associational effects at two spatial scales
Many insect species have limited sensory abilities and may not be able to perceive the quality of different types of resources while approaching patchily distributed resources. These restrictions may lead to differences in selection rates between separate patches and between different resource types within a patch, which may have consequences for associational effects between resources. In this study, we used an oviposition assay containing different frequencies of apple and banana substrates divided over two patches to compare resource selection rates of wild type Drosophila melanogaster at the between and within patch scales. Next, we compared the wild type behavior with that of the olfactory deficient strain Orco2, and the gustatory deficient strain PoxnΔM22-B5 and found comparable responses to patch heterogeneity and similarly strong selection rates for apple at both scales for the wild type and olfactory deficient flies. Their oviposition behavior translated into associational susceptibility for apple and associational resistance for banana. The gustatory deficient flies, on the other hand, no longer had a strong selection rate for apple, strongly differed in between and within patch selection rates from the wild type flies, and caused no associational effects between the resources. Our study suggests that differences in sensory capabilities can affect resource selection at different search behavior scales in different ways, and in turn underlie associational effects between resources at different spatial scales.
Data from: Mortality risk and social network position in resident killer whales: sex differences and the importance of resource abundance
An individual's ecological environment affects their mortality risk, which in turn has fundamental consequences for life history evolution. In many species social relationships are likely to be an important component of an individual's environment, and therefore their mortality risk. Here we examine the relationship between social position and mortality risk in resident killer whales (Orcinus orca) using over three decades of social and demographic data. We find that the social position of male, but not female, killer whales in their social unit predicts their mortality risk. More socially integrated males have a significantly lower risk of mortality than socially peripheral males, particularly in years of low prey abundance, suggesting that social position mediates access to resources. Male killer whales are larger and require more resources than females, increasing their vulnerability to starvation in years of low salmon abundance. More socially integrated males are likely to have better access to social information and food sharing opportunities which may enhance their survival in years of low salmon. Our results show that observable variation in the social environment is linked to variation in mortality risk, and highlight how sex differences in social effects on survival may be linked to sex differences in life-history evolution.
Data from: Ocean warming expands habitat of a rich natural resource and benefits a national economy
Geographic redistribution of living natural resources changes access and thereby harvesting opportunities between countries. Internationally shared fish resources can be sensitive to shifts in the marine environment and this may have great impact on the economies of countries and regions that rely most heavily on fisheries to provide employment and food supply. Here we present a climate change-related biotic expansion of a rich natural resource with substantial economic consequences, namely the appearance of northeast Atlantic mackerel (Scomber scombrus) in Greenlandic waters. In recent years, the summer temperature has reached record highs in the Irminger Current, and this development has expanded the available and realized mackerel habitat in time and space. Observations in the Irminger Current in east Greenland in 2011 of this temperature-sensitive epipelagic fish were the first records so far northwest in the Atlantic. This change in migration pattern was followed by a rapid development of a large-scale fishery of substantial importance for the national economy of Greenland (23% of Greenland's export value of all goods in 2014). A pelagic trawl survey was conducted in mid-summer 2014 and the results showed that the bulk of ~1 million Mg (=t) of mackerel in the Irminger Current in southeast Greenland were located in the relatively warm (>8.5°C) surface layer. Mackerel was also observed in southwest Greenland. Finally, 15 CMIP5 Earth System Model projections of future marine climate were used to evaluate the epipelagic environment in Greenland. These projections for moderate and high CO2 emission scenarios (representative concentration pathways [RCP] 4.5 and 8.5) suggest how the available mackerel habitat may expand further in space and time. Overall, our results indicate that, if the stock remains large, productive, and continues its current migration pattern, then climate change has provided Greenland with a new unique opportunity for commercial exploitation. However, positive cases like this should not be cherry-picked and misused as arguments against timely and effective mitigation of climate change.
Data from: Utilization of health services in a resource-limited rural area in Kenya: prevalence and associated household-level factors
Introduction Knowledge of utilization of health services and associated factors is important in planning and delivery of interventions to improve health services coverage. We determined the prevalence and factors associated with health services utilization in a rural area of Kenya. Our findings inform the local health management in development of appropriately targeted interventions. Methods and Results We used a cluster sample survey design and interviewed household key informants on history of illness for household members and health services utilization in the preceding month. We estimated prevalence and performed random effects logistic regression to determine the influence of individual and household level factors on decisions to utilize health services. 1230/6,440 (19.1%, 95% CI: 18.3%-20.2%) household members reported an illness. Of these, 76.7% (95% CI: 74.2%-79.0%) sought healthcare in a health facility. The majority (94%) of the respondents visited dispensary-level facilities and only 60.1% attended facilities within the study sub-counties. Of those that did not seek health services, 43% self-medicated by buying non-prescription drugs, 20% thought health services were too costly, and 10% indicated that the sickness was not serious enough to necessitate visiting a health facility. In the multivariate analyses, relationship to head of household was associated with utilization of health services. Relatives other than the nuclear family of the head of household were five times less likely to seek medical help (Odds Ratio 0.21 (95% CI: 0.05-0.87). Conclusion Dispensary level health facilities are the most commonly used by members of this community, and relations at the level of the household influence utilization of health services during an illness. These data enrich the perspective of the local health management to better plan the allocation of healthcare resources according to need and demand. The findings will also contribute in the development of community-level health coverage interventions that target the disadvantaged household groups.
Data from: Testosterone reduces the threat premium in competitive resource division
Like other animals, humans are sensitive to facial cues of threat. Recent evidence suggests that we use this information to dynamically calibrate competitive decision-making over resources, ceding more to high threat individuals (who appear more willing/able to retaliate) and keeping more from low threat individuals. Little is known, however, about the biological factors that support such threat assessment and decision-making systems. In a pre-registered, placebo-controlled, cross-over testosterone administration study (n = 118 men), we show for the first time that testosterone reduces the effects of threat on decision-making: participants ceded more resources to high (vs low) threat individuals (replicating the "threat premium"), but this effect was blunted by testosterone—which selectively reduced the amount of resources ceded to those highest in threat. Thus, our findings suggest that testosterone influences competitive decision-making by recalibrating the integration of threat into the decision-making process.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
Patterns of bee abundance and diversity across different spatial scales have received thorough research consideration. However, the impact of short and long term temporal resource availability on biodiversity has been less explored. This is highly relevant in tropical agricultural systems for pollinators, as many foraging periods of pollinators extend beyond flowering of any single crop species. In this study, we sought to understand how bee communities in tropical agroecosystems changed between seasons, and if short and long term floral resource availability influenced their diversity and abundance. We used a threshold analysis approach in order to explore this relationship at two time scales. This study took place in a region dominated by coffee agroecosystems in Southern Mexico. This was an ideal system because the landscape offers a range of coffee management regimes that maintain heterogeneity in floral resource availability spatially and temporally. We found that the bee community varies significantly between seasons. There were higher abundances of native social, solitary and managed honeybees during the dry season when coffee flowers. Additionally, we found that floral resources from groundcover, but not trees, were associated with bee abundance. Further, the temporal scale of the availability of these resources is important, whereby short-term floral resource availability appears particularly important in maintaining high bee abundance at sites with lower seasonal complementarity. We argue that in additional to spatial resource heterogeneity, temporal resource heterogeneity is critical in explaining bee community patterns, and should thus be considered to promote pollinator conservation.
Near-Surface Full-Waveform Inversion Reveals Bedrock Control on Critical Zone Architecture Resources
<p>Near-Surface Full-Waveform Inversion Reveals Bedrock Control on Critical Zone Architecture Resources</p> <p> </p>
Model output for "A high-resolution physical-biogeochemical model for marine resource applications in the Northern Indian Ocean (MOM6-COBALT-IND12)"
<p>This dataset contains the numerical model output files used in the analysis described in "A high-resolution physical-biogeochemical model for marine resource applications in the Northern Indian Ocean (MOM6-COBALT-IND12)"</p>
Effect of resource abundance on woodland rodents' demography at latitudinal extremes in Europe
<p>This pre-released repository holds the data and codes from the project <em>Effect of resource abundance on woodland rodents’ demography at latitudinal extremes in Europe.</em></p>
WEEE-dismantling trial: Investigation on increasing resource efficiency and environmental protection for the recycling of small household electrical and electronic devices
<p>In the frame of the FORCE-project, Aurubis AG and Stadtreinigung Hamburg (the city of Hamburg’s municipal waste management service) carried out a trial to investigate the recycling advantages of manually pre-dismantling small electrical and electronic devices compared to non-dismantled devices. For this purpose, Stadtreinigung Hamburg dismantled a 10 t test charge of waste electrical and electronic devices and separated plastic, iron, nonferrous metal (NF metal), and aluminum to the greatest possible extent. The fractions were sampled, evaluated, and compared with another 10 t test charge of unhandled (mechanically shredded) devices.<br> Based on the results, the benefits for environmental protection and resource conservation were investigated through an ecological assessment, and an economic efficiency analysis of manual predismantling was carried out as well. Because manual pre-dismantling has proven to be economically inefficient under the current conditions, suggestions for future device design were developed – based on examples of individual product groups – to improve the economic efficiency of manual dismantling<br> and also possibly enable additional metals to be recovered in a cost-efficient manner in the future.</p> <p>Overview of the results<br> - Device-specific – small electrical and electronic devices from collection group 5 (CG 5):<br> o Breakdown of the different device types<br> o Manual dismantling process (dismantling time)<br> o Pollutant content in the electrical and electronic devices<br> o Assessment of difficulties that arose during manual dismantling<br> o Non-ferrous metal percentages for the device type at hand</p> <p>- Charge-specific (manual dismantling vs. mechanical shredding):<br> o Percentages of the material fractions plastic, iron, NF metal, aluminum, and residual material<br> (wood, fabric) for both charges (manually dismantled and mechanically shredded)<br> o Economic efficiency analysis of manual dismantling<br> o Ecological comparison of manual dismantling and mechanical shredding<br> o Suggestions for Design for Recycling</p>
Stark et al. 2022_Linkages Between Participatory Natural Resource Management and Democratic Outcomes: A Review of the Evidence (Annex 2 and 5)
<p>Technical Brief_Linkages Between Participatory Natural Resource Management and Democratic Outcomes: A Review of the Evidence </p> <table> <tbody> <tr> <td> <p><strong>Activity Title: </strong></p> </td> <td> <p>Integrated Natural Resource Management</p> </td> </tr> <tr> <td> <p><strong>Sponsoring USAID Office: </strong></p> </td> <td> <p>Center for Environment, Energy, and Infrastructure</p> </td> </tr> <tr> <td> <p><strong>Contract Number: </strong></p> </td> <td> <p>7200AA20F00010</p> </td> </tr> <tr> <td> <p><strong>Task Order Number: </strong></p> </td> <td> <p>STARR II – 7200AA18D00020</p> </td> </tr> <tr> <td> <p><strong>Period of Performance: </strong></p> </td> <td> <p>July 30, 2020 – July 19, 2025</p> </td> </tr> <tr> <td> <p><strong>Contracting Officer: </strong></p> </td> <td> <p>Stella Alexander-Sergeeff</p> </td> </tr> <tr> <td> <p><strong>COR: </strong></p> </td> <td> <p>Ioana Bouvier</p> </td> </tr> <tr> <td> <p><strong>Ceiling Price: </strong></p> </td> <td> <p>$34,976,131</p> </td> </tr> <tr> <td> <p><strong>Contractor: </strong></p> </td> <td> <p>DAI</p> </td> </tr> <tr> <td> <p><strong>Date of Publication: </strong></p> </td> <td> <p>April 2022</p> </td> </tr> <tr> <td> <p><strong>Author: </strong></p> </td> <td> <p>Jeffrey Stark, Samantha H. Cheng, Erin Betley, Susan Telingator</p> </td> </tr> </tbody> </table>
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.