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.
297
datasets available to search
ShareScore release 0.9.0
Dataset results
297 results for “pearls”
The Potential of Fragipans in Sustaining Pearl Millet during Drought Periods in North-Central Namiba (dataset)
<p><strong>Abstract</strong></p> <p>Sandy soils with fragipans are usually considered poorly suited for agriculture. However, these soils are cultivated in north-central Namibia as they can secure a minimum harvest during droughts. To understand the hydrological influence of fragipans in these soils, Ehenge, and what makes them valuable, their soil moisture content was measured over a time span of four months. These data were then compared to a deep soil without fragipan, Omutunda, which is more productive during normal years, but less productive during droughts. The results illustrate that the combination of sandy topsoil and shallow fragipan has beneficial effects on plant available water during dry periods, because of three reasons: (i) The high infiltration rate in the sandy topsoil, (ii) the prevention of deep drainage of water by the fragipan, and (iii) the limited evaporation losses through the capillary rise in the sand. The results also confirm the disadvantages of Ehenge during wet periods.</p> <p><strong>Description of Dataset</strong></p> <p>The dataset comprises a .pdf-file with a detailed data description, seven .csv-files (relevant datasets), and two txt-files with the R-code to produce the relevant Figures 4 and 5 from the paper “The Potential of Fragipans in Sustaining Pearl Millet during Drought Periods in North-Central Namibia” by Prudat et al. 2021.</p> <p><strong>File description<br> Rainfall.csv</strong>: daily rainfall in mm at two locations (<em>Omutunda</em> & <em>Ehenge</em>)<br> <strong>NDOB13_ehenge.csv/ NDOB13_omutunda.csv</strong>: soil temperature and soil moisture per minute<br> <strong>NDOB13_ehenge_daily.csv/ NDOB13_omutunda_daily.csv</strong>: soil temperature and volumetric soil moisture content (θ<sub>TDR</sub>) aggregated per day using the arithmetic mean<br> <strong>NDOB13_ehenge_RASW_daily.csv/ NDOB13_omutunda_RASW_daily.csv</strong>: The relative available soil water (RASW) was calculated based on the measured plant available water,</p> <p><strong>Scripts</strong><br> (1) <strong>RASW_rainfall_daily</strong>: Script to calculate and plot the relative available soil water (RASW) at the two stations and the rainfall<br> (2) <strong>Max_soil_surface_temperature</strong>: Script to calculate and plot the maximum soil surface temperature at the two stations</p> <p> </p><p><strong>References</strong></p> <p></p> <p>Cobos, D., Campbell, C., 2007. Correcting temperature sensitivity of ECH2O soil moisture sensors. Decagon Devices Pullman WA.</p> <p>Hillel, D., 1998. Environmental soil physics: Fundamentals, applications, and environmental considerations. Academic press.</p>
Fig. 1 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 1. Coastal plain of Rio Grande do Sul in southern Brazil showing the Patos-Mirim lagoon complex (a) and the location of the four sampling sites where the specimens of the pearl cichlid Geophagus brasiliensis were collected (b).
Fig. 3. a in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 3. a: Percentage of empty stomachs (PES) according to sexual maturity (immature and mature) and gender (female and male). b: Mean values (+ standard error) of the total food content expressed in volume (log10(x+1) transformed) in the digestive tract of the pearl cichlid Geophagus brasiliensis.
Fig. 2 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 2. Volume (%, black bars) and frequency of occurrence (%, gray bars) of the main food categories found in the digestive tracts of the pearl cichlid Geophagus brasiliensis.
Рис. 9. Фрагменты раковин жемчужниц Dahurinaia dahurica иЗ раскопа 3 поселениЯ Константиновка-1. МасштабнаЯ линейка 5 см. Fig. 9. Fragments of pearl mussel Dahurinaia dahurica shells from excavation 3 of the Konstantinovka-1 site. Scale bar 5 cm. in Mollusks from the archaeological site Konstantinovka-1 in Primorye (Russian Far East)
Рис. 9. Фрагменты раковин жемчужниц Dahurinaia dahurica иЗ раскопа 3 поселениЯ Константиновка-1. МасштабнаЯ линейка 5 см. Fig. 9. Fragments of pearl mussel Dahurinaia dahurica shells from excavation 3 of the Konstantinovka-1 site. Scale bar 5 cm.
Рис. 8. Фрагменты раковин пресноводных моллюсков иЗ раскопов поселениЯ Константиновка-1: А, B – створка жемчужницы иЗ раскопа 1, вид снаружи и иЗнутри; C–E – створки жемчужниц Dahurinaia dahurica иЗ раскопа 2; F, G – фрагмент раковины гастроподы иЗ раскопа 2, вид с раЗных ракурсов. Масштабные линейки 2 см. Fig. 8. Fragments of freshwater mollusk shells from the Konstantinovka-1 site excavations: A, B – pearl mussel Dahurinaia dahurica from excavation 1, the inner and outer views; C–E – pearl mussel Dahurinaia dahurica from excavation 2; F, G – fragment of a gastropod shell from excavation 2, view from different angles. Scale bars 2 cm. in Mollusks from the archaeological site Konstantinovka-1 in Primorye (Russian Far East)
Рис. 8. Фрагменты раковин пресноводных моллюсков иЗ раскопов поселениЯ Константиновка-1: А, B – створка жемчужницы иЗ раскопа 1, вид снаружи и иЗнутри; C–E – створки жемчужниц Dahurinaia dahurica иЗ раскопа 2; F, G – фрагмент раковины гастроподы иЗ раскопа 2, вид с раЗных ракурсов. Масштабные линейки 2 см. Fig. 8. Fragments of freshwater mollusk shells from the Konstantinovka-1 site excavations: A, B – pearl mussel Dahurinaia dahurica from excavation 1, the inner and outer views; C–E – pearl mussel Dahurinaia dahurica from excavation 2; F, G – fragment of a gastropod shell from excavation 2, view from different angles. Scale bars 2 cm.
Data from: Growth and longevity of the endangered freshwater pearl mussel (Margaritifera margaritifera): Implications for conservation and management
<p>Key life-history data, such as growth and age, are necessary to effectively manage and conserve threatened freshwater mussel species. Traditionally growth and age studies require large yet destructive sample sizes covering all age classes. Such methods pose a risk to populations of conservation concern, and therefore alternative methods that need only limited sample sizes are necessitated to prevent further threats to such populations. We applied retrospective shell growth at age reconstructions to 98 critically endangered freshwater pearl mussel (FPM) individuals from 34 populations across Finland and Sweden, enabling the use of extremely small sample sizes (n = 1–6 per population). We compared the performance of six different growth models with the reconstructed size-at-age data across FPM juvenile (<20 years old) and adult life stages. The growth reconstruction model showed reasonable skill in reconstructing FPM growth patterns. The von Bertalanffy model was shown to be a good general descriptor of growth for FPM, but it systematically underestimated the asymptotic size. The power law model was the most accurate in estimating juvenile growth (lowest deviances from the size-at-age data). FPM showed great variability in longevity (A<sub>max</sub> = 54–254 years) and growth constant k (0.018– 0.057 year<sup>-1</sup>). Our results show that reasonable estimates of growth can be attained even when sample sizes are extremely limited. The results can be further applied to gain knowledge on the population's age structure, size at maturation, and recovery potential. The methodology is applicable to other freshwater mussel species of conservation concern.</p>
Dataset: Pearl Holdings Acquisition Corp (PRLHW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Pearl Holdings Acquisition Corp (PRLH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Pearl Holdings Acquisition Corp (PRLHU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 4 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China
Fig. 4. Testudinella zhujiangensis sp. n., scanning electron microscope photograph of trophi. Detail of major teeth and proximal part of fulcrum, frontal view. Scale bar: 10 µm. ba: basal apophysis, fo:
Fig. 5 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China
Fig. 5. Testudinella obscura, scanning electron microscope photograph of trophi, frontal view. Scale bar: 10 µm. Origin: Mediterranean, Bay of Hyères, France
Fig. 3 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China
Fig. 3. Testudinella zhujiangensis sp. n., scanning electron microscope photographs of trophi. A. Frontal view. B. Caudal view. Scale bar: 10 µm. al: alula, as: arched scleropili, dc: dorsal chamber, f: fulcrum, m: manubrium, mc: median chamber, r: ramus, ra: ramus apophysis, rf: ramus fenestra, svc:
Fig. 1 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China
Fig. 1. Location of the sampling sites on Qi'ao Island of the Zhujiang/Pearl River estuary, Guangdong, China. Shadow area stands for mangrove forest; black circles represent the sampling locations
Fig. 2 in A New Species Of Testudinella (Rotifera: Testudinellidae) From Qi'Ao Island, Pearl River Estuary, China
Fig. 2. Testudinella zhujiangensis sp. n.: A. Lorica, dorsal view. B–F. Lorica, ventral view. G. Lorica, cross-sectional view. H. Foot pseudosegments. Scale bars: A–G: 50 µm, H: 25 µm
Figure 4 in Ecological and economic impacts of exotic fish species on fisheries in the Pearl River basin
Figure 4. Multipanel display of the pairwise relationships between the biomass percentages of different species in catches, with bivariate scatter plots in the lower panels, histograms on the diagonal and Pearson's r correlations in the upper panels (statistical significance: P <0.001 ***, P <0.01 **, P <0.05 *).
Figure 3 in Ecological and economic impacts of exotic fish species on fisheries in the Pearl River basin
Figure 3. Correlation analysis between the CPUE, number of economic exotic species, biomass percentage of exotic species and environmental variables.
Figure 2 in Ecological and economic impacts of exotic fish species on fisheries in the Pearl River basin
Figure 2. Biomass percentages (mean ± SE) of exotic and native species at different sites (A) and in different months (B).
Figure 10 in A taxonomic revision of fossil freshwater pearl mussels (Bivalvia: Unionoida: Margaritiferidae) from Pliocene and Pleistocene deposits of Southeastern Europe
Figure 10. Fossil-calibrated multi-locus ultrametric chronogram of the Margaritiferidae (after Lopes-Lima et al. (2018) with our additions). Bars indicate 95% confidence intervals of the estimated divergence times between lineages (Ma). Black numbers near nodes are mean ages (Ma). Stratigraphic chart according to the International Commission on Stratigraphy, 2015. Fossil species under discussion are in red. We illustrated a putative phylogenetic placement of fossil species, i.e. Pseudunio flabellatus (Goldfuss, 1837) comb. rev. as a stem lineage (MRCA of P. auricularius - P. homsensis clade) and P. flabellatiformis (Grigorowitch-Beresowski, 1915) comb. rev. as an extinct lineage (red branch with X-shaped terminal mark indicating an extinction event in the Late Pleistocene) related to P. auricularius and P. homsensis.
Figure 8 in A taxonomic revision of fossil freshwater pearl mussels (Bivalvia: Unionoida: Margaritiferidae) from Pliocene and Pleistocene deposits of Southeastern Europe
Figure 8. Teeth morphology of recent and fossil Pseudunio taxa: A) P. auricularius from the Indre River near Huismes commune, Loire Basin, France (SMF, voucher no. 307623); B) P. homsensis from the Nahr al-Kabir al-Janoubi River near Harida, Syria (SMF, voucher no. 83160); C) P. flabellatiformis comb. rev. from the Sucleia outcrop, paleoDniester River valley, Middle Pleistocene, Moldova (RMBH, voucher no. Sc1). Scale bars = 10 mm. Photos: Artem A. Lyubas and Ilya V. Vikhrev.
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.