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.
39
datasets available to search
ShareScore release 0.9.0
Dataset results
39 results for “density rating”
Salt River Wetlands denitrification rate, dissimilatory nitrate reduction to ammonium rate, dissolved organic carbon concentration in June 2016 as well as soil porosity and bulk density
Raw and derived data used to calculate denitrification and dissimilatory nitrate to ammonium (DNRA) from push-pull experiments with added isotopically labelled nitrate. Experiments were conducted in 2016 in the Salt River Accidental Wetlands in three different patch types: Unvegetated, dominated by Ludwigia peploides, and dominated by Typha species (T. domingensis and T. latifolia). Data include start and end of incubation concentration of nitrate, ammonium, atom percent 15N in ammonium, dissolved organic carbon, excess mass 29-N2, and excess mass 30-N2. Soil data was collected from the same patch types including soil moisture, porosity, and bulk density.
Benthic chlorophyll, density, porosity, and organic content concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from January, April, June and July 2001
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll, density, porosity, and organic content were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll, density, porosity, and organic content were measured in the bulk surface centimeter depth of sediment. Several relatively pristine sites on Sapelo Island (Moses Hammock and Dean Creek) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration across bank and marsh zones with higher photosynthetic biomass in the spring season.
Figure 1 in Effect of Pupal Holding Density on Emergence Rate, Flight Ability, and Yield of Sterile Male Mediterranean Fruit Flies (Diptera: Tephritidae)
Figure 1. Emergence rate (top) and flight ability (bottom) for Hawaii- and Guatemaladerived flies when held at loadings of 250, 350, or 450 ml per eclosion tower tray. Bar heights represent mean values over all trays for a given density (15 dates X 6 trays per loading amount per date = 90 trays total), and error bars represent 1 SE.
Figure 2 in Effect of Pupal Holding Density on Emergence Rate, Flight Ability, and Yield of Sterile Male Mediterranean Fruit Flies (Diptera: Tephritidae)
Figure 2. Estimated numbers of fliers produced per tower (top) and ratios of number of fliers produced to number of pupae placed per tower (bottom) in relation to the pupal loading level per constituent tray. Hawaii-derived flies were used exclusively; towers contained 52 trays. Symbols represent means over 33 towers per loading level (3 towers per test day x 11 test days); error bars represent ± 1 SE.
Figure 3 in Parasitism rate of Plutella xylostella (Lepidoptera: Plutellidae) larvae in greenhouse by Tetrastichus howardi (Hymenoptera: Eulophidae) females at different densities
Figure 3. Progeny per Tetrastichus howardi (Hymenoptera: Eulophidae) female with a density of one, three, six, nine, 12, 15 or 18 females of this parasitoid per Plutella xylostella (Lepidoptera: Plutellidae) pupae.
Figure 2 in Parasitism rate of Plutella xylostella (Lepidoptera: Plutellidae) larvae in greenhouse by Tetrastichus howardi (Hymenoptera: Eulophidae) females at different densities
Figure 2. Total progeny of Tetrastichus howardi (Hymenoptera: Eulophidae) per pupa of Plutella xylostella (Lepidoptera: Plutellidae) with different densities of females of this parasitoid in semi-field conditions.
Constructing a high-density linkage map to infer the genomic landscape of recombination rate variation in European Aspen (Populus tremula)
<p>Data sets and files for linkage map construction and for inferring recombination rate variation in <em>Populus tremula</em>. Associated scripts for analyses can be found at <a href="https://github.com/parkingvarsson/Recombination_rate_variation">https://github.com/parkingvarsson/Recombination_rate_variation</a> </p>
Data from: Narwhal (Monodon monoceros) echolocation click rates to support cue counting passive acoustic density estimation
<p class="MsoNormal"><span>The datasets correspond to the data used to obtain the results shown in the manuscript "Narwhal (<em>Monodon monoceros</em>) echolocation click rates to support cue counting passive acoustic density estimation".</span></p> <p class="MsoNormal"><span>When the manuscript is accepted we will also edit and add here the full reference including the DOI of the publication.</span></p>
The influence of prey density and pollen on the predation and oviposition rate of Amblyseius swirskii on Echinothrips americanus
<p>Data set of the research: "The influence of prey density and pollen on the predation and oviposition rate of Amblyseius swirskii on Echinothrips americanus". The dataset contains observations of predation and oviposition of Amblyseius swirskii on Echinothrips americanus. The different conditions were leaf area and prey density.</p>
Data from: Narwhal (Monodon monoceros) echolocation click rates to support cue counting passive acoustic density estimation
Open the record for dataset details and reuse information.
Florida Longleaf Pine Surveys of Density and Growth Rates
The longleaf pine (Pinus palustris) ecosystem is an endangered global biodiversity hotspot that is a major focus of conservation and restoration efforts. However, most studies of longleaf habitats have not considered their distinct diversity, structure, and function among different communities, which are critical for developing appropriate management strategies. Florida has 51% of the remaining habitat, where it occurs in 5 unique community types. This dataset was collected from 82 plots (160 m2 each) in 23 sites across all 5 community types. We used modified variable area transects to collect data on tree density and growth rates. Tree rings were measured to the nearest 0.001 mm in CooRecorder and crossdated visually and statistically verified in COFECHA. Data was collected by N.Z. in 2018 while in graduate school at Florida State University.
Wood density and leaf size jointly predict woody plant growth rates across (but not within) species along a steep precipitation gradient
<p>1. Functional traits have been proposed to define key dimensions of plant ecological strategies, but we lack consensus on whether traits can accurately predict plant demography. Despite theoretical expectations, it has been challenging to find consistent relationships between functional traits and growth. 2. In this study, we quantified inter- and intraspecific trait variation and individual growth rates of woody plants across a steep moisture gradient that varies 10-fold in annual precipitation (350–3,700 mm) in southern Chile and used a hierarchical Bayesian model to predict growth as a function of trait values. 3. We show that large-leaved species with lower stem tissue density exhibited the fastest growth rates, and these two traits exhibited the highest proportion of interspecific variation. Predictions of growth improved considerably (R2 of the best model increased from 0.28 to 0.49) when species-level multiple traits and their interactions were considered. The inclusion of intraspecific trait variation (ITV), however, did not improve models of growth rate. 4. We found that trait-growth rate relationships were not always consistent across levels of biological organization; relationships observed at the interspecific level did not necessarily hold at the intraspecific level. We found that the relationships between wood density or leaf size and growth were consistent in direction across the precipitation gradient, and the relationships between leaf economics traits and growth were weak and site-specific. 5. Synthesis. Although using more than one functional trait considerably improved growth predictions, wood density and leaf size successfully predicted growth rates across (not within) species, which is consistent with a whole-plant carbon economy. We assert that these two traits are intimately linked and ultimately describe a continuum of plant architecture and carbon economy that covers multiple trait syndromes.</p>
Data, Figures and Codes for "Experimental analyses of pore-size dependent biomineralization in porous media under various flow rate and bacterial density scenarios"
<pre>This repository contains the data, codes and figures for the manuscript <br>"Experimental analyses of pore-size-dependent biomineralization in porous media under various flow rate and bacterial density scenarios". <br><br>Comments welcome. </pre>
Relatedness modulates density-dependent cannibalism rates in Drosophila
<p>1. Cannibalism is taxonomically widespread, and can have large impacts on individual fitness and population-level processes. As such, identifying how cannibalism rates vary in response to ecological cues is important for predicting species evolution and population dynamics.</p> <p>2. In this study, we aimed to identify several eco-evolutionary factors that affect cannibalism rate and measure how they interacted with one another.</p> <p>3. To do this, we conducted two experiments using complimentary methods to measure how cannibalism rates varied among larval Drosophila melanogaster and Drosophila simulans in response to changes in conspecific relatedness, social familiarity and density.</p> <p>4. We found that larvae were more likely to cannibalise non-related larval victims in both species, and that this effect increased at high densities in D. simulans. We found no evidence that Drosophila larvae use social familiarity to assess relatedness. Finally, in D. melanogaster, cannibalistic larvae prefer to cannibalise larvae that are being attacked by a greater number of conspecifics, implying that cues linked to conspecific abundance encourage cooperative cannibalism.</p> <p>5. By showing that cannibalism frequency in Drosophila spp. is sensitive to relatedness and several other factors, we reveal the complex relationship between cannibalism frequency and species ecology. Also, by showing that the effect of relatedness on cannibalism frequency is density-dependent, we advance the current understanding of how ecological variables interact to affect kin selection.</p> <p>ANALYSIS CODE IS WRITTEN IN R.</p>
Relatedness modulates density-dependent cannibalism rates in Drosophila
Open the record for dataset details and reuse information.
Wood density and leaf size jointly predict woody plant growth rates across (but not within) species along a steep precipitation gradient
Open the record for dataset details and reuse information.
Data from: Retrospective analyses to understand how wolf territory density impacts moose quotas, harvest and observation rate
Open the record for dataset details and reuse information.
Data from: Negative relationships between population density and metabolic rates are not general
Population density has recently been suggested to be an important factor influencing metabolic rates, and to represent an important 'third axis' explaining variation beyond that explained by body mass and temperature. In situations where population density influences food consumption, the immediate effect on metabolism acting through specific dynamic action (SDA), and downregulation due to fasting over longer periods, is well understood. However, according to a recent review, previous studies suggest a more general effect of population density per se, even in the absence of such effects. It has been hypothesised that this results from animals performing anticipatory responses (i.e. reduced activity) to expected declines in food availability. Here we test the generality of this finding by measuring density effects on metabolic rates in 10 clones from two different species of the zooplankton Daphnia (Daphnia pulex Leydig and D. magna Straus). Using fluorescence-based respirometry we obtain high-precision measures of metabolism. We also identify additional studies on this topic that were not included in the previous review, compare the results, and evaluate the potential for measurement bias in all previous studies. We demonstrate significant variation in mass-specific metabolism among clones within both species. However, we find no evidence for a negative relationship between population density and mass-specific metabolism. The previously reported pattern also disappeared when we extended the set of studies analysed. We discuss potential reasons for the discrepancy among studies, including two main sources of potential bias (microbial respiration and declining oxygen consumption due to reduced oxygen availability). Only one of the previous studies gives sufficient information to conclude absence of such biases, and consistent with our results no effect of density on metabolism was found. We conclude that population density per se does not have a general effect on mass-specific metabolic rate.
RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density
<p><span>The dataset contains 5,364 images of rice seedlings with a combined size of 35 MB. These images are organized in three folders: single rice seed plants (1367 images), clustered rice seed plants (1437 images), and undefined objects (2560 images)</span></p>
Synthetic catalog of seismicity and stressing rate history for "Scaling and variability of interacting repeating earthquake sequences controlled by asperity density"
<p>Sheets 1 to 14: Synthetic catalogs of seismicity listing (for each earthquake):</p> <ul> <li>non dimensional time (1st column)</li> <li>non dimensional seismic moment (2nd column)</li> <li>non dimensional equivalent source radius (3rd column)</li> <li>non dimensional position along strike x (4th column)</li> <li>non dimensional position along dip y (5th column)2</li> </ul> <p>Sheets 15 to 28: time series of the spatial average of:</p> <ul> <li>non dimensional slip (2nd column)</li> <li>non dimensional slip rate (3rd column) </li> <li>non dimensional shear stress (4th column)</li> </ul> <p>Time series corresponding to catalog in sheet i is provided in sheet i+14. See the reference paper for details about the non dimensionalization.</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.