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.
311
datasets available to search
ShareScore release 0.9.0
Dataset results
311 results for “Empirical data”
Data for empirical example in: An effect size for comparing the strength of morphological integration across studies
Open the record for dataset details and reuse information.
Supplementary material and supplementary data files for: Handling logical character dependency in phylogenetic inference: Extensive performance testing of assumptions and solutions using simulated and empirical data
Open the record for dataset details and reuse information.
An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability - Data, Code and Documentation
<p>Release version of the data, code and documentation used in and generated by our data analysis and literature search to ensure reproducibility, repeatability, and transparency, to be published alongside our paper "An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability".</p>
Replication code and data for: Recalculating ... How Uncertainty in Local Labor Market Definitions Affects Empirical Findings
<p>This repository contains the code and data to replicate all the analyses in our paper "Recalculating ... : How Uncertainty in Local Labor Market Definitions Affects Empirical Findings." Some of the data can also be used in other researchers' analyses to investigate the robustness of their results when they use commuting zones to aggregate or collect data.</p>
Fine-scale empirical data on niche divergence and homeolog expression patterns in an allopolyploid and its diploid progenitor species
<ul> <li>Polyploidization is pervasive in plants, but little is known about the niche divergence of wild allopolyploids (species that harbor polyploid genomes originating from different diploid species) relative to their diploid progenitor species and the gene expression patterns that may underlie such ecological divergence. We conducted a fine-scale empirical study on habitat and gene expression of an allopolyploid and its diploid progenitors.</li> <li> We quantified soil properties and light availability of habitats of an allotetraploid <i>Cardamine flexuosa</i> and its diploid progenitors <i>C. amara</i> and <i>C. hirsuta</i> in two seasons. We analyzed expression patterns of genes and homeologs (homeologous gene copies in allopolyploids) using RNA-seq.</li> <li>We detected niche divergence between the allopolyploid and its diploid progenitors along water availability gradient at a fine scale: the diploids in opposite extremes and the allopolyploid in a broader range between diploids, with limited overlap with diploids at both ends. Most of the genes whose homeolog expression ratio changed among habitats in <i>C. flexuosa</i> varied spatially and temporally. </li> <li>These findings provide empirical evidence for niche divergence between an allopolyploid and its diploid progenitor species at a fine scale and suggest that divergent expression patterns of homeologs in an allopolyploid may underlie its persistence in diverse habitats.</li> </ul>
Data in the analysis of Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective
<p>This data is used in the analysis related to the article Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective. The data contain Crude Oil Prices, Exchange Rates, and Dummy variables coded 1 for the era before the Covid-19 outbreak and 0 for the era of Covid-19.</p> <p> </p>
Data from: A framework for simultaneous tests of abiotic, biotic, and historical drivers of species distributions: empirical tests for North American wood warblers based on climate and pollen
Understanding how abiotic, biotic and historical factors shape species distributions remains a central question in ecology, but studies linking biotic factors to continental-scale patterns remain scarce. Here, we present a novel framework for simultaneously testing patterns expected when abiotic, biotic or historical factors drive species range limits. We use ecological niche models to produce empirical estimates of the "Biotic, Abiotic, and Movement" paradigm (BAM diagrams), which previously had only been used theoretically. Based on climatic and pollen data, as well as explicit consideration of dispersal limitations, we implement the framework for a group of North American birds (Oreothlypis warblers) with clear habitat associations. Because the pollen-based predictor variables characterize vegetation, they represent biotic factors needed by each bird species. Although continental-scale patterns of distribution traditionally are attributed to abiotic factors, only one species matched the hypothesis of solely abiotic drivers. In contrast, pollen-based models indicate biotic drivers for two species, correctly predicting their absence in climatically suitable areas. These results highlight the feasibility of considering and quantifying potential effects of biotic interactions on species ranges, especial when interactions can be decoupled from abiotic factors. Furthermore, the availability of pollen data now and in the Holocene highlights the potential of these data to be used to predict range shifts of other organisms tightly dependent on particular vegetation types.
Data from: Ecosystem function in predator-prey food webs - confronting dynamic models with empirical data
1. Most ecosystem functions and related services involve species interactions across trophic levels, e.g. pollination and biological pest control. Despite this, our understanding of ecosystem function in multi-trophic communities is poor, and research has been limited to either manipulations in small communities or statistical descriptions in larger ones. 2. Recent advances in food web ecology may allow us to overcome the trade-off between mechanistic insight and ecological realism. Molecular tools now simplify the detection of feeding interactions, and trait-based approaches allow the application of dynamic food web models to real ecosystems. We performed the first test of an allometric food web model's ability to replicate temporally non-aggregated abundance data from the field, and to provide mechanistic insight into the function of predation. 3. We aimed to reproduce and explore the drivers of the population dynamics of the aphid herbivore Rhopalosiphum padi observed in ten Swedish barley fields. We used a dynamic food web model, taking observed interactions and abundances of predators and alternative prey as input data, allowing us to examine the role of predation in aphid population control. The inverse problem methods were used for simultaneous model fit optimization and model parameterization. 4. The model captured >70% of the variation in aphid abundance in five of ten fields, supporting the model-embodied hypothesis that body-size can be an important determinant of predation in the arthropod community. We further demonstrate how in-depth model analysis can disentangle the likely drivers of function, such as the community's abundance and trait composition. Analyzing the variability in model performance revealed knowledge gaps, such as the source of episodic aphid mortality, and general method development needs that, if addressed, would further increase model success and enable stronger inference about ecosystem function. 5. The results demonstrate that confronting dynamic food web models with abundance data from the field is a viable approach to evaluate ecological theory and to aid our understanding of function in real ecosystems. However, to realize the full potential of food web models, in ecosystem function research and beyond, trait-based parameterization must be refined and extended to include more traits than body size.
Module Data for the Empirical Investigation of Subsumption Test Hardness in Description Logic Classification
<p>This dataset contains 224 modules of 14 distinct ontologies for the submission "Empirical Investigation of Subsumption Test Hardness in Description Logic Classification" to CADE, 2015. The submitted version with the dataset description can be found here:</p> <p>http://owl.cs.manchester.ac.uk/publications/supporting-material/subtest-hardness-in-classification/</p> <p>The ontologies in this set are BioPortal ontologies from the snapshot provided at http://dx.doi.org/10.5281/zenodo.15667. </p> <p>The following ontologies are in the set: </p> <p>MFOEM - Emotion Ontology<br /> BT - Biotop Ontology<br /> NEMO - Neural Electromagnetic Ontology<br /> NTDO - Neglected Tropical Disease Ontology<br /> OBI - Ontology for Biomedical Investigations<br /> OGSF - Ontology for Genetic Susceptibility Factor<br /> ONL-MSA - Mental State Assemssment<br /> VSO - Vital Sign Ontology<br /> CAO - Clusters of Orthologous Groups Cog Analysis Ontology <br /> ICO - Informed Consent Ontology<br /> OMRSE - Ontology of Medically Related Social Entities<br /> STATO - Statistics Ontology<br /> NPO - Nanoparticle Ontology<br /> OBCS - Ontology of Biological and Clinical Statistics</p>
(DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application
<ul> <li>Input structures.</li> <li>Scripts to generate some inputs.</li> <li>Script to run all the calculations.</li> <li>Scripts to run analysis.</li> <li>Molecular dynamics trajectories (in PDB and TRJ formats)</li> <li>Molecular dynamics animations (in MP4 format)</li> </ul>
Empirical data and model simulations of the effect of repeated hurricanes on soil carbon dynamics in a humid tropical forest
<p>Increasing hurricane frequency and intensity with climate change is likely to affect soil organic carbon (C) stocks in tropical forests. We examined the cycling of C between soil pools and with depth at the Luquillo Experimental Forest in Puerto Rico in soils over a 30-year period that spanned repeated hurricanes. We used a non-linear matrix model of soil C pools and fluxes ("soilR") and constrained the parameters with soil and litter survey data. Soil chemistry and stable and radiocarbon isotopes were measured from three soil depths across a topographic gradient in 1988 and 2018. Our results suggest that pulses and subsequent reduction of inputs caused by severe hurricanes in 1989, 1998, and two in 2017 led to faster mean transit times and younger mean ages of soil C in the particulate, occluded, and mineral-associated soil organic matter pools at 0–10 cm and 35–60 cm depths relative to a modeled control soil with constant inputs over the thirty years. Between 1988 and 2018, the occluded C stock increased, and d<sup>13</sup>C in all pools decreased, while changes in particulate and mineral-associated C were undetectable. The differences between 1988 and 2018 suggest that hurricane disturbance results in a dilution of the occluded light C pool with an influx of young, debris-deposited C, and possible microbial scavenging of old and young C in the particulate and mineral-associated pools. These effects led to a younger total soil C pool with faster mean transit times. Our results suggest that increasing frequency of intense hurricanes will speed up rates of C cycling in tropical forests, and eventually lead to net losses of C from tropical forest soils.</p>
LNT Model is not an "Assumption": Re-Analysis of Epidemiological Data Empirically Supports LNT
<p><em>Introduction:</em> In “Keeping ICRP Recommendations Fit for Purpose”[1], LNT model is described as “LNT is the most appropriate evidence-based assumption to use for radiological protection purposes (p.10).” According to our critical literature survey on radiological epidemiology[2], some limitations were identified: (1) aggregation of individual level data, (2) model formulation, (3) model estimation, (4) model selection, (5) results interpretation. In this paper we focus (4) model selection and demonstrate LNT was the best model.</p> <p><em>Data and Method:</em> Using “Life Span Study Report 14. Cancer and non-cancer disease mortality data, 1950-2003 [3]”, solid cancer mortality was re-analyzed. In addition to the L, Q, LQ, hadn searched threshold model, kinked–at-2Gy model that assumes LQ for less than 2Gy and L for larger than 2 Gy, and Linear model with threshold as a parameter were estimated. Following [3], Poisson regression model was applied and model fit was compared with AIC and BIC.</p> <p><em>Results</em>: Among estimated models, Linear (BIC=18317.9) and grid search threshold at 20mSv (BIC=18318.1) was selected as the best models. Directly estimated threshold was -23.2 mSv and it was statistically insignificant (z=-0.087,p>0.1). Model fit of kinked-at-2Gy was poorer than these models (BIC=18321.2).</p> <p><em>Conclusion:</em> Based on these results, we can conclude LNT model is the best model for a-bomb survivor solid cancer mortality. According to our literature survey, LNT is supported Description of LNT model in “Keeping ICRP Recommendations Fit for Purpose” should be modified accordingly: “LNT is the scientifically supported model, it is reasonable LNT to use for radiological protection purposes.”</p>
An empirical model of the dayside Martian ionosphere based on the radio occultation data from MGS, MEX, and MAVEN
<p>This empirical model is developed from the radio occultation data to reconstruct the dayside Martian ionosphere. The observations include the measurements from MGS, MEX, and MAVEN. Based on PCA and optimized regression, this model well reproduces the peak electron density and altitude in observations.</p>
Data from: Does pH matter for ecosystem multifunctionality? An empirical test in a semi-arid grassland on the Loess Plateau
<p>Date of data collection: 2016-2018</p> <p>Geographic location of data collection: Guyuan, Ningxia, China (106°23′E, 36°15′N)</p> <p>These data were generated to (<em>i</em>) investigate the responses of soil properties, biological communities and multifunctionality to decreased soil pH; (<em>ii</em>) determine the potential biotic and abiotic pathways that soil pH may drive multifunctionality. In 2016, a 17 m × 40 m semi-arid grassland plot with an initial pH value of 8.05 and uniform vegetation was selected. The experiment was granted by the administration of Yunwu Mountain National Nature Reserve. A randomized block design was used with five treatments and six replicates per treatment. A total of 30 plots were established. All plots were 2 m × 2 m and separated by 1 m buffer zones. The treatments included five levels of acid addition rate (0, 0.23, 0.56, 3.60, and 9.01 mol H<sup>+</sup> m<sup>-2</sup>) in the form of sulphuric acid solution. In late August 2017, the plant communities achieved their peak biomass, and were surveyed and harvested in a 0.5 m × 1 m quadrat in each plot to determine the plant community diversity and estimate above-ground biomass. After harvesting the plants, six soil cores (0-15 cm deep, 2.5 cm diameter) per plot in each of the six blocks were collected and pooled by plot as a replicate for further chemical analyses.</p>
Data from the paper "Learning to clusterize urban areas: two competitive approaches and an empirical validation"
<p>Data for urban clustering used in the paper "Learning to clusterize urban areas: two competitive approaches and an empirical validation". We release two datasets for urban clustering based on data acquired in Santiago de Chile. The first dataset is computed at the level of urban blocks. The second dataset is computed at the level of individuals using a uniform sample of Santiago inhabitants. Both datasets comprises features based on social characteristics (e.g., SES), land use, and aesthetic visual perception of the city. The features of each data unit (blocks or individuals) are provided using row packing (each row is a data unit) in CSV files. We release PCA (Principal Components Analysis) features for both datasets.</p>
Data from: How does sustainable water consumption in the shower relate to different dimensions of perceived well-being? Empirical evidence from university students
<p>Water scarcity is already a worrying issue and it is predicted to get worse in the future. This creates an imperative to use water efficiently and sustainably. In the domestic sphere, one of the main uses of water is showering, not only for hygiene reasons but also as a wellness activity. In order to gain insight into the implications of sustainable shower use, in this paper we analyse the relationship between subjective well-being and water consumption in the shower. We aim to answer the following questions: 1) How does shower water consumption relate to subjective well-being, 2) Does this relationship differ depending on showering habits (time spent in the shower, and number of showers per week), and 3) Does this relationship differ depending on the season (winter and summer). The dataset contains information on 937 students from different disciplines at the University of Granada, Spain. The different interpretations of subjective well-being considered are life satisfaction, affect, and vitality. Results suggest that there is a negative relationship between water consumption and subjective well-being, in line with the literature that identifies a well-being dividend from green behaviour (being pro-environmental helps the environment and increases happiness). All subjective well-being dimensions are negatively related to time spent in the shower, regardless of the season. In contrast, the frequency of showering is not significantly related to well-being. Therefore, it appears that higher water consumption does not translate into higher perceived well-being, indicating that there is no conflict between efficient shower water use and individual well-being.</p>
Data for "Workhorse minimally-empirical dispersion-corrected density functional, with tests for weakly-bound systems: r2 SCAN + rVV10"
<p>VASP inputs and outputs for the:</p> <ul> <li>Ar2 binding energy curve (Ar2_bpara.tar.gz)</li> <li>L28 set of layered-solid geometries and interlayer binding energies (L28.tar.gz)</li> <li>S22 set of interaction energies of weakly-bound complexes (S22.tar.gz)</li> </ul> <p>All POTCAR files have been replaced by "potcar.txt" files containing the title(s) of the POTCAR(s) needed to reproduce the calculations. A preprint is available from the arXiv:2204.11717 (<a href="https://arxiv.org/abs/2204.11717">link</a>).</p>
Semi-empirical error ellipsoid clustering for identifying the second-order structural features from a laboratory AE source location cloud—method, validation, and application to a hydraulic fracturing test [DATA]
<p>Data and metadata for the publication "Semi-empirical error ellipsoid clustering for identifying the second-order structural features from a laboratory AE source location cloud—method, validation, and application to a hydraulic fracturing test", published in Earth and Space Science.</p>
Data from: Empirically testing the influence of light regime on diel activity patterns in a marine predator reveals complex interacting factors shaping behaviour
<p>Diel cycles in marine predator diving behaviour centre around the light-mediated diel vertical migration (DVM) of prey, and are considered critical for optimizing foraging and limiting competition across global seascapes. Yet our understanding of predator diel behaviour is based primarily on examining relative depth usage between constant day/night cycles with no formal investigation of how varying light regimes interact with abiotic factors to shape diel activity. The extreme seasonal light regimes (midnight sun, polar night, day/night cycle) in the Arctic provide a unique natural experimental setting to empirically investigate the occurrence and intensity of diel behaviour in marine predators relative to changing light levels while concomitantly assessing interacting abiotic factors. Depth time series data from satellite-linked tags deployed on six belugas for up to 12 months were used to quantify diel behaviour by calculating dissimilarity in time-at-depth between periods of low and high solar altitude on each day. Generalized additive mixed effects models were used to examine the influence of hours of daylight across extreme light cycles, coupled with bathymetry and sea ice concentration; focal diel patterns were further examined relative to the thermal structure of the water column. As predicted, belugas exhibited cathemerality during the midnight sun, and initiated diel behaviour with the onset of the fall day/night cycle, with a marked increase in its intensity with the progression to equal day/night length. Occurrence of diel patterns, however, was complex; ceasing in regions with seafloor depths < 700 m, and occurring with greatest intensity when the water column was thermally homogeneous within the upper 150 m. Through empirical investigation, this study demonstrates that the onset of day/night light cycles and presumably associated prey DVM can modulate predator diel dive behaviour under certain circumstances, but highlights how the complex interaction of abiotic factors with light regime shape dynamic spatiotemporal patterns. These findings, building on a body of recent work, emphasize that the traditional view of the ubiquitous occurrence of diel behaviour tied to DVM at the base of the food web oversimplifies vertical predator-prey interactions, identifying the need for more structured investigation. </p>
Simulation data for a semi-empirical approach for tsunami inundation in South Italy
<p>The archive contains data used for the simulations devised for a semi-empirical method for the evaluation of tsunami wave propagation and inundation along the coasts of South Italy.</p> <p>UPDATE - October 19, 2022<br> - Added readme files (in English and Italian) with an explanation of the files of the repository.<br> - Added text files for values of alpha also for the case of perpendicular tsunami fronts (as per Figures 5d and 5f of the paper); only files for realistic tsunami fronts (as per Figures 5c and 5e of the paper) were present in the previous version of the repository. </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.