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.
1,610
datasets available to search
ShareScore release 0.9.0
Dataset results
1,610 results for “ratio”
Figure 4 in Sex ratio, oocyte development and spawning season of Mediterranean moray eel (Muraena helena) from the northern coast of Tunisia
Figure 4. – Section of gonad, illustrating the spawning capable reproductive phase of testis (Sg2 = secondary spermatogonia; Sc1 = primary spermatocyte; Sc2 = secondary spermatocyte; St = spermatid; Sz = spermatozoa).
Figure 3 in Sex ratio, oocyte development and spawning season of Mediterranean moray eel (Muraena helena) from the northern coast of Tunisia
Figure 3. – Section of gonad, illustrating the early developing subphase of testis (Sg2 = secondary spermatogonia; Sc1 = primary spermatocyte; Sc2 = secondary spermatocyte).
Fig. 1 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 1. Sampling sites of the Brazilian flathead, Percophis brasiliensis, in the southwestern Atlantic Ocean.
Figure 1 in Carbon-to-chlorophyll-a ratio in the phytoplankton of the Black Sea surface layer: variability and regulatory factors
Figure 1. Location of sampling stations in the coastal waters of the Black Sea near Sevastopol and the southern coast of Crimea in 2000-2003 and 2006-2010: 1 - Sevastopol Bay, 2, 3 - Karantinnaya Bay, 4 - Kruglaya Bay, 5 - open coastal zone near Sevastopol, 6,7 - Golubaya Bay, 8, 9 - Laspi Bay.
The crustal Vp data and Vp/Vs ratios across NE Tibet
Open the record for dataset details and reuse information.
Highly feminised sex-ratio estimations for the world's third-largest nesting aggregation of loggerhead sea turtles
<p>All data uploaded is in a CSV format.</p> <p>TempVariation contains the daily average temperatures for each island (pooling data between years and beaches).</p> <p>LumTempYear contains the comparison between temperature and luminosity for each beach for all 3 years of data collection.</p> <p>LumTemp contains pools the data from LumTempYear so that there is one average temperature reading per beach. The weightings column states the percentage nesting occurring on that beach.</p> <p>BeachHist builds upon LumTemp including the estimated proportion of nests experiencing critically high temperatures, based on the daily temperatures received from the TempVariation.</p> <p> </p>
Effects of the compositional viscosity ratio on the long-term evolution of thermo-chemical reservoirs in the deep mantle
<p>Datasets of the manuscript submitted to Geophysical Research Letters.</p>
Fig. 4 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 4. Circular histogram showing peak flight activity of: (A) Cyclocephala cearae; (B) C. distincta; (C) Dyscinetus dubius; (D) Stenocrates holomelanus; (E) C. paraguayensis; (F) Ligyrus (Ligyrus) cuniculus, during one year of collection using light trap at Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, PE, Brazil. Black line = mean vector and confidence interval.
Fig. 3 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 3. Rainfall effect in the most abundant tribes of Dynastinae (Melolonthidae), during one year of collection using light trap at Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, PE, Brazil: (A) Mean abundance of Cyclocephalini beetles, recorded monthly, between December 2010 and November 2011 (except April 2011). (B) Mean abundance of Pentodontini beetles, recorded monthly, between December 2010 and November 2011 (except April 2011). (C) Rainfall, recorded monthly, between December 2010 and November 2011 (except April 2011).
Fig. 1 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 1. Map showing sampling site: (A) Pernambuco State represented in black. (B) Black dot representing Campo de Instrução Marechal Newton Cavalcanti, Abreu e Lima, Pernambuco, Brazil. (C) Black dot representing sampling site at Marechal Newton Cavalcanti, Abreu e Lima, Pernambuco, Brazil.
Fig. 2 in Flight patterns and sex ratio of beetles of the subfamily Dynastinae (Coleoptera, Melolonthidae)
Fig. 2. Light trap model used for beetle sampling: (A) Black light bulb. (B) Mixed mercury bulb. (C) Light support.
Fig. 1 in Sex ratios in juveniles and adults of Dichroplus maculipennis (Blanchard) and Borellia bruneri (Rehn) (Orthoptera: Acrididae)
Fig. 1. (A), (B), (E)–(H) Dichroplus maculipennis. (A) Adult female. (B) Juvenile female. (E) and (F) Male external genitalia, dorsal (E) and lateral (F) views. (G) and (H) Juvenile female external genitalia, dorsal (G) and lateral (H) views. (C), (D), (I)–(L) Borellia bruneri. (C) Adult female. (D) Juvenile female. (I) and (J) Male external genitalia, dorsal (I) and lateral (J) views. (K) and (L) Juvenile female external genitalia, dorsal (K) and lateral (L) views.
Figure 4. Optimization of the lyophilized nanoparticles at a N:P 2:1 ratio
Open the record for dataset details and reuse information.
Figure 3 Effect of N:P ratios on the H2B-mScarlet expression in transfected HEK293 cells.
Open the record for dataset details and reuse information.
Supporting information of Ultra-Wide Band Antipodal Vivaldi Antenna Using Metasurface Lens for Gain and Front-to-Back Ratio (FBR) Improvement
Open the record for dataset details and reuse information.
Intersectoral Water Use Intensity Ratio Datasets
<p>This repository contains the Water Use Intensity (WUI) and Intersectoral Water Use Intensity Ratio (ISWUIR) datasets associated with the manuscript entitled “Synchronized progress on water-saving technologies across various manufacturing sub-sectors: Hypothesis testing and validation”. </p>
Data from: A method for estimating population sex ratio for sage-grouse using noninvasive genetic samples
Population sex ratio is an important metric for wildlife management and conservation, but estimates can be difficult to obtain, particularly for sexually monomorphic species or for species that differ in detection probability between the sexes. Noninvasive genetic sampling (NGS) using polymerase chain reaction (PCR) has become a common method for identifying sex from sources such as hair, feathers, or feces, and is a potential source for estimating sex ratio. If, however, PCR success is sex-biased, naively using NGS could lead to a biased sex ratio estimator. We measured PCR success rates and error rates for amplifying the W and Z chromosomes from greater sage-grouse (Centrocercus urophasianus) fecal samples, examined how success and error rates for sex identification changed in response to fecal sample exposure time, and used simulation models to evaluate precision and bias of 3 sex assignment criteria for estimating population sex ratio with variable sample sizes and levels of PCR replication. We found PCR success rates were higher for females than males and that choice of sex assignment criteria influenced the bias and precision of corresponding sex ratio estimates. Our simulations demonstrate the importance of considering the interplay between the sex-bias of PCR success, number of genotyping replicates, sample size, true population sex ratio, and accuracy of assignment rules for designing future studies. Our results suggest that using fecal DNA for estimating the sex ratio of sage-grouse populations has great potential and, with minor adaptations, should be applicable to numerous species.
Data from: Sex ratio and density affect sexual selection in a sex-role reversed fish
Understanding how demographic processes influence mating systems is important to decode ecological influences on sexual selection in nature. We manipulated sex ratio and density in experimental populations of the sex-role reversed pipefish Syngnathus typhle. We quantified sexual selection using the Bateman gradient (ß′ss), the opportunity for selection (I), and sexual selection (Is), and the maximum standardized sexual selection differential (s′max). We also measured selection on body length using standardized selection differentials (s′) and mating differentials (m′), and tested whether the observed I and Is differ from values obtained by simulating random mating. We found that I, Is, and s′max, but not ß′ss, were higher for females under female- than male-bias and the opposite for males, but density did not affect these measures. However, higher density decreased sexual selection (m′ but not s′) on female length, but selection on body length was not affected by sex ratio. Finally, Is but not I was higher than expected from random mating, and only for females under female bias. This study demonstrates that both sex ratio and density affect sexual selection and that disentangling interrelated demographic processes is essential to a more complete understanding of mating behavior and the evolution of mating systems.
Data from: Crowd control: sex ratio affects sexually selected cuticular hydrocarbons in male Drosophila serrata
Although it is advantageous for males to express costly sexually selected signals when females are present, they may also benefit from suppressing these signals to avoid costly interactions with rival males. Cuticular chemical profiles frequently function as insect sexual signals; however, few studies have asked whether males alter these signals in response to their social environment. In Drosophila serrata, an Australian fly, there is sexual selection for a multivariate combination of male cuticular hydrocarbons (CHCs). Here, we show that the ratio of females to males that an adult male experiences has a strong effect on his CHC expression, with female-biased adult sex ratios eliciting greater expression of CHC profiles associated with higher male mating success. Classical models predict that male reproductive investment should be highest when there is a small but nonzero number of rivals, but we found that males expressed the most attractive combination of CHCs when there were no rivals. We found that male CHCs were highly sensitive to adult sex ratio, with males expressing higher values of CHC profiles associated with greater mating success as the ratio of females to males increased. Moreover, sex ratio has a stronger effect on male CHC expression than adult density. Finally, we explore whether sex ratio affects the variance among a group of males in their CHC expression, as might be expected if individuals respond differently to a given social environment, but find little effect. Our results reveal that subtle differences in social environment can induce plasticity in male chemical signal expression.
Vegetation N:P ratio stoichiometric is a driver of negative density dependence in a succession series of a semi-arid area
<p>Plant negative density dependence is the result of interactions between plants and between plants and the environment. We selected a succession series, i.e., early successional, mid-successional and late successional stages<i> </i>for <i><span>Artemisia ordosica</span></i>, <i><span>Sophora alopecuroides</span></i> and <i><span>Stipa bungeana</span></i> communities, respectively, in a semi-arid area. We investigated the density and biomass and determined the nitrogen (N) and phosphorus (P) content of every plant species for each quadrat of 225 quadrats, and calculated the N and P content of vegetation using biomass as a weighted coefficient. The results show that, total plant density of the <i><span>A. ordosica</span></i><i> </i>community increased with the increase of vegetation N:P ratio, while total plant density of the <i><span>S. bungeana</span></i> community decreased with the increase of vegetation N:P ratio, which took on negative density dependence at the late successional stage. In the early and mid-successional stages of the community succession, the stagnation point of the quadratic function relationship between plant total density and vegetation N/P ratio was (16.6, 353.3), that was, if the N:P ratio of the vegetation was greater than 16.6, which was characterized by negative density dependence. The analysis shows that the negative density dependence is due to P limitation. These findings reveal that the vegetation N:P ratio in a semi-arid region is the driving force for negative density dependence.</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.