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96 results for “contributor”
Figure 4 in On Fabre's traces: an important contributor to the knowledge of Buthus occitanus (Amoreux, 1789)
Figure 4: Buthus occitanus, a specimen in the dark (photo by Marco Colombo).
MOH-AMM-SC-2024 ePoster ID 44: Mapping The Landscape of Precision Public Health: A Bibliometric Analysis of Influential Works and Key Contributors
<p>Supplementary Material for Poster Presentation</p> <p>MOH-AMM-SC-2024 ePoster ID 44: Mapping The Landscape of Precision Public Health: A Bibliometric Analysis of Influential Works and Key Contributors</p> <p>Conference: 15th MOH-AMM Scientific Meeting 2024 in conjunction with 25th NIH Scientific Conference</p>
Supporting files for "Estimating the number of contributors to DNA mixtures provides a novel tool for ecology"
<p>Supporting files for Sethi et al. Methods in Ecology and Evolution, in press. Contents include an alternative likelihood formulation for a DNA mixture estimator, associated R script to implement the likelihood, pcr multiplex conditions for yellow perch, and a supplemental figure.</p>
Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?
<p>Datasets for figures and output of PCM model run as detailed in the corresponding paper.</p>
Package Quality for Users and Contributors: An Empirical Study of the npm Ecosystem
<p>Dataset for the submission "Package Quality for Users and Contributors: An Empirical Study of the npm Ecosystem"</p>
Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment
<p>Data and code to accompany the journal publication "Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment" in the Proceedings of the National Academy of Sciences of the United States of America (PNAS). This dataset includes data sets, computer codes and associated scripts, necessary to reproduce results in the article: (1) the surface computational grid; (2) model Greenland Ice Sheet history in time steps of 20 years from 1000 CE to present-day; (3) code to compute the relative sea-level change at any user specified set of sites across the same time steps; (4) code to map (2) and (3) on to conventional grids (e.g., latitude-longitude; Gauss-Legendre, etc.) based on a non-linear interpolation of data on a triangular grid via a second-order scheme; (5) code to convert sea level changes into time series of past topography from which flooding geometry (i.e., shoreline migration) can be tracked; and (6) code to integrate the flood geometries in (5) to compute time series of total flood area. More details in Readme.pdf.</p>
Data for: Thiophenes as potential contributors to the formation of organosulfates and sulfonates in urban atmospheric aerosols
Open the record for dataset details and reuse information.
Datasets for Mixed support for gene flow as a constraint to local adaptation and contributor to the limited geographic range of an endemic salamander
<p>Understanding mechanisms that underlie species range limits is at the core of evolutionary ecology. Asymmetric gene flow between larger core populations and smaller edge populations can swamp local adaptation at the range edge and inhibit further range expansion. However, empirical tests of this theory are exceedingly rare. We tested the hypothesis that asymmetric gene flow can constrain local adaptation and thereby species' range limits in an endemic US salamander (<i>Ambystoma barbouri</i>) by determining if gene flow is asymmetric between the core and peripheries of the species' geographic distribution and testing whether local adaptation is swamped at range edges with a reciprocal transplant experiment. Using putatively neutral loci from populations across three core-to-edge transects that covered nearly the entire species' geographic range, we found evidence for asymmetric, core-to-edge gene flow along western and northern transects, but not along a southern transect. Subsequently, the reciprocal transplant experiment suggested that northern and western edge populations are locally adapted despite experiencing asymmetric gene flow yet have lower fitness in their respective home regions than center populations do. Conversely, southern populations exhibit low deme quality, experiencing high mortality regardless of where they were reared, likely due to harsher edge habitat conditions. Consequently, we provide rare species-wide evidence that local adaptation can occur despite asymmetric gene flow, though migration from the core may prohibit range expansion by reducing fitness in edge populations. Further, our multi-transect study shows that multiple, non-mutually exclusive mechanisms can lead to range limits within a single species.</p>
Supplementary figure for: "UVA radiation could be a significant contributor to sunlight inactivation of SARS-CoV-2"
<p><strong>Supplementary Figure 1 for https://www.biorxiv.org/content/10.1101/2020.09.07.286666 </strong></p> <p><strong>Summary of sunlight inactivation mechanisms for viruses, based on <a href="https://paperpile.com/c/sh96XE/c05Xp+qSRra">[1,2]</a>. Solid yellow line: example of solar spectral irradiance reaching the Earth’s surface <a href="https://paperpile.com/c/sh96XE/KMpGD">[3]</a>. In principle, UVC light is most effective at damaging nucleic acid, leading to direct, endogenous inactivation; however, it is completely blocked by atmospheric ozone. Some UVB reaches the Earth’s surface, and may also damage nucleic acid. However, its effectiveness is lower than for UVC, and falls rapidly as wavelength increases (as shown by the white dashed line). Sunlight in the UVA range reaches the ground in larger amounts than for UVB, but does not interact directly with nucleic acid. However, UVA can be absorbed by natural or engineered sensitizers in the suspending medium, thereby creating photo-produced reactive intermediates that can damage viruses, leading to indirect, exogenous inactivation.</strong></p> <p><strong>* Corresponding author: pfegiz [at] ucsb [dot] edu</strong></p> <p><strong>1. <a href="http://paperpile.com/b/sh96XE/c05Xp">Nelson KL, Boehm AB, Davies-Colley RJ, et al. Sunlight-mediated inactivation of health-relevant microorganisms in water: a review of mechanisms and modeling approaches. Environ Sci Process Impacts. 2018; 20(8):1089–1122.</a></strong></p> <p><strong>2. <a href="http://paperpile.com/b/sh96XE/qSRra">Lytle CD, Sagripanti J-L. Predicted inactivation of viruses of relevance to biodefense by solar radiation. J Virol. 2005; 79(22):14244–14252.</a></strong></p> <p><strong>3. <a href="http://paperpile.com/b/sh96XE/KMpGD">Tropospheric Ultraviolet and Visible (TUV) Radiation Model [Internet]. [cited 2020 Sep 2]. Available from: </a><a href="https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model">https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model</a></strong></p> <p> </p> <p><strong>Funding statement:</strong></p> <p><strong>This work was supported by the University of California, Santa Barbara [Vice Chancellor for Research COVID-19 Seed Grant] and by the Army Research Office Multi University Research Initiative [W911NF-17-1-0306 to P.L.-F.].</strong></p>
Data from: Postglacial recolonization history of the European crabapple (Malus sylvestris Mill.), a wild contributor to the domesticated apple
Understanding the way in which the climatic oscillations of the Quaternary Period have shaped the distribution and genetic structure of extant tree species provides insight into the processes driving species diversification, distribution and survival. Deciphering the genetic consequences of past climatic change is also critical for the conservation and sustainable management of forest and tree genetic resources, a timely endeavour as the Earth heads into a period of fast climate change. We used a combination of genetic data and ecological niche models to investigate the historical patterns of biogeographic range expansion of a wild fruit tree, the European crabapple (Malus sylvestris), a wild contributor to the domesticated apple. Both climatic predictions for the last glacial maximum and analyses of microsatellite variation indicated that M. sylvestris experienced range contraction and fragmentation. Bayesian clustering analyses revealed a clear pattern of genetic structure, with one genetic cluster spanning a large area in Western Europe and two other genetic clusters with a more limited distribution range in Eastern Europe, one around the Carpathian Mountains and the other restricted to the Balkan Peninsula. Approximate Bayesian computation appeared to be a powerful technique for inferring the history of these clusters, supporting a scenario of simultaneous differentiation of three separate glacial refugia. Admixture between these three populations was found in their suture zones. A weak isolation by distance pattern was detected within each population, indicating a high extent of historical gene flow for the European crabapple.
The data for hydrodynaic-ecosystem-PCBs model resuts for "North-South Discrepancy in the Contributors to CB153 Accumulation in the Deep Water of the Sea of Japan"
<p>The major data for "North-south discrepancy in the contributors to CB153 accumulation in the deep water of the Sea of Japan" are listed as follows:</p><p>1) The monthly mean concentrations of dissolved and particulate CB153 in the control-run, and the dissolved CB153 concentration in the nobio-run. Data are saved in MATLAB files ("CB153 concentration in the Sea of Japan.mat") with variables of longitude, latitude, depth, Cw_control, Cwpar, and Cw_nobio. </p><p>2) The accumulation process of dissolved CB153 from the first year to the 21st year. Data are saved in MATLAB file of "accumulation process from the first year to 21st year.mat".</p><p>3) Monthly distribution of the remineralization flux of detritus-bound CB153 and the mixed layer depth. Data are saved in the MATLAB file of "remineralization flux of detritus-bound CB153.mat" with variables of longitude, latitude, depth, the mixed layer </p><p>3) Distributions of the dissolved CB153 concentrations on different isopycnals and the current velocity. Data are saved in the MATLAB file of "current velocity_density.mat" with variables of longitude, latitude, u,v, and density.</p>
Supplemental Data: Deciphering the biological contributors to methane cycling in Gulf Coast wetlands
<p>File descriptions:</p> <p>Data</p> <ul> <li>Table 1: experimental design. Number of samples from each wetland, ecosite and depth. Number of reads per sample. Other measurements available for each sample.</li> <li>Tale 2: geochemistry measurements. Anions, cations, pH, salinity and depth</li> <li>Table 3: 16S feature table with SILVA taxonomy</li> <li>Table 4: feature table of methanogens and methanotrophs</li> </ul> <p>Supplemental_Figures</p> <ul> <li>Figure S1: Dissolved oxygen measured at the saltwater marsh</li> <li>Figure S2: Redox potential of soils at each ecosite</li> <li>Figure S3: Concentrations of anions and cations at each ecosite</li> <li>Figure S4: Soil pH at each ecosite</li> <li>Figure S5: Community composition at the Phylum level</li> <li>Figure S6: Correlation matrix of methane cycling taxa and environmental variables</li> <li>Figure S7: Linear discriminant analysis of methane cycling genera</li> <li>Figure S8: Relative abundance of soil methanogen and methanotroph tax across sites, ecosites, and depths</li> <li>Figure S9: Relative abundance of water column methanotroph taxa across sites, ecosites, and depths</li> </ul>
what make long term contributors -- mozilla and gnome
<p>Data and scripts for: </p> <p>Minghui Zhou, Audris Mockus: Who Will Stay in the FLOSS Community? Modeling Participant's Initial Behavior. Software Engineering, IEEE Transactions on , vol.41, no.1, pp.82-99, Jan. 1 2015.</p> <p>Minghui Zhou and Audris Mockus. What Make Long Term Contributors: Willingness and Opportunity in OSS Community. ICSE '12 Proceedings of the 34rd International Conference on Software Engineering, Zurich, Switzerland, 2-9 June 2012, pp.518-528.</p> <p> </p>
Identifying contributors to PM2.5 simulation biases of chemical transport model using fully connected neural networks
<p>The processed data and codes in the study are included. </p> <p><strong>Source data:</strong></p> <p>The training and testing dataset is composed of observed and simulated data of pollutants and meteorology in the BTH and YRD regions in the whole year of 2015. The processed datasets used for training are named as "dataset_BTH" and "dataset_YRD" in the folder.</p> <ul> <li><em>The hourly observed pollution data</em> are from China National Urban Air Quality Real-time Release Platform of the National Environmental Monitoring Station</li> <li><em>The hourly simulated pollutants data</em> comes from the output of WRF-CMAQv5.2 (spatial resolution of 27 km).</li> <li><em>Meteorological observation data</em> is provided by China Meteorological Data Service Centre</li> <li><em>The meteorological simulation data</em> comes from the simulation results of the WRF model</li> </ul> <p><strong>Codes:</strong></p> <ul> <li>preprocessing of raw CMAQ data, observed pollution data and meteorological data</li> <li>bulid and train process of fully connected neural networks</li> <li>calculation of correlation between variables</li> <li>feature selection method</li> <li>contribution analysis</li> </ul>
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B).
The UNCODE Study: Unravelling the Neural Contributors Of Dynapenia in Elders
ClinicalTrials.gov study NCT02505529. IPD Sharing: NO. Countries: 1. Publications: 2.
AMS Study: Inflammatory and Biomechanical Contributors to Arthritis Development Following Arthroscopic Meniscectomy
ClinicalTrials.gov study NCT00752271. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Bayis Ilh Tus - A Strong Breath: Prevalence and Contributors to COPD in First Nations Communities in British Columbia
ClinicalTrials.gov study NCT04105088. IPD Sharing: NO. Countries: 1. Publications: 1.
Hormonal Contributors to COVID-19 Infection (COV-ENDO)
ClinicalTrials.gov study NCT05749770. IPD Sharing: YES. Countries: 1. Publications: 2.
Data from: Episodic disturbance from boat anchoring is a major contributor to, but does not alter the trajectory of, long-term coral reef decline
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ScienceDex guides
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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.