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.
3,673
datasets available to search
ShareScore release 0.9.0
Dataset results
3,673 results for “Temporal”
FIGURE 2 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 2. Kogaionid-bearing fossil sites (red dots) discussed in this review (see text for details and abbreviations) in the main areas with fossiliferous uppermost Cretaceous continental deposits of the Transylvanian area (in light gray; see fig. 1). A. Kogaionid occurrences from the Hațeg Basin; DC1–7, sites in the DensușCiula Formation; PB1–8, sites in the Pui Beds; RB1–3, sites in the Râul Mare Beds; SP1–4, sites in the Sînpetru Formation. B. Kogaionid sites from the Rusca Montană Basin (RM1–2). C. Kogaionid sites from the southwestern Transylvanian Basin (TB1–5).
FIGURE 6 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 6. Selected skeletal elements of the holotype of Litovoi tholocephalos LPB (FGGUB) M.1700, one of the most completely known kogaionid individuals from Pui (site PB6), Hațeg Basin (modified and completed from Csiki-Sava et al., 2018). A–C, Skull roof, braincase and partial petrosals (specimen M.1700.1) in A. dorsal, B. ventral, and C. occipital views. D. Right premaxilla with red-pigmented, in situ I2 and I3 (specimen M.1700.5) in lateral view. E. Left symphyseal fragment with i1 (specimen M.1700.6) in medial view. F. Composite reconstruction of skull in lateral view, using specimens M.1700.5 (right premaxilla, mirrored), M.1700.2 (left maxilla with in situ P1-M2), and M.1700.1 (braincase and petrosal region). G, H, Composite skull reconstruction based on elements listed above (see F), as well as M.1700.4 (left posterior zygomatic arch), with preserved elements mirrored, in G. dorsal and H. ventral views. I. Left femur (specimen M.1700.19) in posterior view. J. Right femur (specimen M.1700.20) in anterior view.
FIGURE 10 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 10. Kogaionid lower molars from the Pui Beds, site PB1. A–C, Isolated left m1, ISER PUI.001, the holotype of Barbatodon transylvanicus, in A. occlusal and B. labial views, with C. close-up of the labiodistal cingulumlike crest. D. Isolated right m2, ISER PUI.002, of an ideterminate kogaionid, in occlusal view.
FIGURE 1 in Spatial And Temporal Distribution Of The Island-Dwelling Kogaionidae (Mammalia, Multituberculata) In The Uppermost Cretaceous Of Transylvania (Western Romania)
FIGURE 1. Areal distribution of the kogaionid multituberculate-bearing uppermost Cretaceous continental deposits in western Romania. A. Map of Romania showing the position of the main outcropping areas: a. Hațeg Basin; b. Rusca Montană Basin; c. southwestern Transylvanian Basin. B. Northwestern Romania, with the distribution of the uppermost Cretaceous continental deposits in green (simplified after Csiki-Sava et al., 2016); the area of the Hațeg Basin (HB) shown enlarged in C, for details. Names of major towns and cities in black, main uppermost Cretaceous fossiliferous localities in gray; important highways and roads indicated by number-letter codes. C. Distribution of the uppermost Cretaceous continental deposits in the Hațeg Basin.
Temporal evolution of plutonium concentrations and isotopic ratios, cesium activity concentrations, granulometric parameters and organic matter properties in the Ukedo–Takase Rivers draining the Difficult-To-Return Zone in Fukushima, Japan (2013–2020)
<p>The current dataset was compiled to investigate the temporal evolution of plutonium concentrations, isotopic ratios and radiocesium activity concentrations in flood sediment deposits collected in the Ukedo and Takase Rivers, draining a part of the Difficult-to-Return Zone, in Fukushima Prefecture, from 2013 to 2020. These radionuclides were released in large quantities during the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident that occurred in March 2011 in Northeastern Japan (Steinhauser et al., 2014). Models showed that ~ 80 % of radionuclide releases occurred over the ocean (Mathieu et al., 2018; MEXT, 2011). The radioactive plume is drained by several coastal rivers to the Pacific Ocean, and sediment-bound radionuclide transfers in these rivers are mainly controlled by the occurrence of typhoons and tropical storms (Evrard et al., 2021). The objective of the research relying on the current database is to investigate the temporal changes in Pu signatures that occurred between 2013 and 2020 in flood sediment deposits collected in the Ukedo and the Takase Rivers, and to identify potential factors controlling these changes by the means of statistical approach.</p> <p>The current dataset comprises an Excel file including the variables description, and the data itself.</p>
Long-term demographic trends and spatio-temporal distribution of past human activity in Central Europe: Comparison of archaeological and palaeoecological proxies (datasets and R scripts)
<p>This digital archive is an outcome of the paper Kolář J., Macek M., Tkáč P., Novák D. & V.Abraham: Long-term demographic trends and spatio-temporal distribution of past human activity in Central Europe: Comparison of archaeological and palaeoecological proxies. Quaternary Science Reviews, 2022</p>
single cell RNA seq data of 3 healthy sample from frontal lobe and temporal lobe
<p><span>Frontotemporal lobe abnormalities are linked to neuropsychiatric disorders and cognition, but the role of cellular heterogeneity between temporal lobe (TL) and frontal lobe (FL) in the vulnerability to genetic risk factors remains to be elucidated. We provided single-nucleus transcriptome analysis in “fresh” human FL and TL which are integrated with genetic susceptibility, gene dysregulation in neuropsychiatric disease, and psychoactive drug response data. We show how intrinsic differences between TL and FL contribute to the vulnerability of specific cell types to both genetic risk factors and psychoactive drugs. Neuronal populations, specifically PVALB-neurons, were most highly vulnerable to genetic risk factors for psychiatric disease. These psychiatric disease-associated genes were mostly upregulated in the TL, and dysregulated in the brain of patients with obsessive-compulsive disorder, bipolar disorder and schizophrenia. these data provide prefound insight into brain frontotemporal lobe.</span></p>
Data for: Temporal variation of soil microarthropods in different forest types and regions of Central Europe
<p>Biodiversity and biomass of aboveground arthropods in Central European forests continuously declined during the last decade. However, whether belowground microarthropod communities follow similar patterns has not been investigated. In this study, we compared the abundance, diversity, community composition, stability and asynchrony of oribatid mites (Acari: Oribatida) sampled in four forest types of increasing management intensity (unmanaged beech, old managed beech, young managed beech, and coniferous) at three-year intervals from 2008 to 2020. Forest sites were replicated in three regions in southern, central and northern Germany, i.e. the Swabian Alb, Hainich-Dün and the Schorfheide Chorin, which differ in soil characteristics and climate. We found 25,152 individuals and 121 species of oribatid mites and detected no linear decline in abundance and diversity over the last decade, suggesting that microarthropods in forest soils are buffered against land-use effects. However, we observed that years with low winter precipitation in regions with soils that are prone to drought, resulted in significant decreases in oribatid mite densities. Community compositions remained similar across sampling years, but differed between regions and forest types, predominantly due to differences in the proportion of asexual individuals. The stability of oribatid mite communities did not decrease in managed forests and was highest in deep soils with high water-holding capacity, which may reduce temporal variation, suggesting that soil properties are more important for the stability of oribatid mite communities than forest management. However, stability patterns were not explained by asynchrony in species fluctuations, as all communities either showed a high degree of synchrony or were not different from random. Our study highlights that the temporal dynamics of belowground communities may differ from those aboveground, and that regional differences in precipitation and soil properties are more important than forest types.</p>
Abundance-diversity relationship as a unique signature of temporal scaling in the fossil record
<p>Species diversity increases with the temporal grain of samples according to the species-time relationship, impacting paleoecological analyses because the temporal grain (time averaging) of fossil assemblages varies by several orders of magnitude. We predict a positive relation between total abundance and sample size-independent diversity (ADR) in fossil assemblages because an increase in time averaging, determined by a decreasing sediment accumulation, should increase abundance and depress species dominance. We demonstrate that, in contrast to negative ARDs of non-averaged living assemblages, the ARD of Holocene fossil assemblages is positive, unconditionally or when conditioned on the energy availability gradient. However, the positive fossil ADR disappears when conditioned on sediment accumulation, suggesting that ADR can be a signature of diversity scaling induced by variable time averaging. Conditioning ADR on sediment accumulation can identify and remove the scaling effect caused by time averaging, providing an avenue for unbiased biodiversity comparisons across space and time.</p>
Figure 1 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 1. Map of the RPPN Foz do Rio Aguapeí and location of the six studied areas in the RPPN Foz do Rio Aguapeí. Legend: (1) Lagoa São Gabriel; (2) Lagoa das Piranhas; (3) Lagoa dos Porcos; (4) Constructed wetland; (5) Aguapei river –; and (6) Lagoa da sede. Sources: CESP (2013) and Google Earth (2021).
Figure 2 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 2. Cumulative curve of the 52 waterfowl bird species in the RPPN Foz do Rio Aguapeí showing stability from sample 27 to 31.
Figure 3 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 3. NMDS (stress of 0.097) of the spatial distribution of the aquatic bird community recorded by the transect method in the lagoons of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: LS = Lagoa da Sede; LSG = Lagoa São Gabriel; LP = Lagoa da Piranha and LPO = Lagoa dos Porcos.
Figure 1 in Testing the Temporal Limits of Lures and Toxicants for Trapping Fruit Flies (Diptera: Tephritidae): Additional Weathering Studies of Solid Bactrocera and Zeugodacus Male Lures and Associated Insecticidal Strips
Figure 1. Captures of Zeugodacus cucurbitae males in Jackson traps containing toxicants of variable age deployed at Aloun Farm, Oahu, Hawaii. The lures were fresh in all traps and were prepared in Hawaii at the start of the test. Two fresh toxicants were included: naled in liquid CL (bar labelled L) and a DDVP strip with a CL plug (bar labelled P). The DDVP strips weathered in Arizona and Florida were tested during the same 1-day period (December 9–10, 2015). Values represent means (+ 1 SE); 12 traps were deployed per treatment. Bars marked by different letters were significantly different (Student-Newman-Keuls multiple comparisons test).
Fig. 9 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 9: Histogram of the Mantel test assessing the relationship between genetic and morphologic distance for Gobius niger. Sim: simulations; Frequency: frequency values of the correlation between the genetic and morphologic distances. The dot represents the original value of the correlation between the distance matrices.
Fig. 6 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 6: PCA of the morphological variables of Gobius niger (standard length, SL; body height, BH; head length, HL; snout length, SnL; eye diameter, ED; first dorsal fin, DF1; second dorsal fin, DF2; anal fin, AF; pectoral fin, PF; ventral fin, VF) with projection of phenotypic groups. PC1 vs. PC2 and PC2 vs. PC3. The percentage of variation explained by each PC axis is given within parentheses.
Fig. 3 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 3: Cluster analysis associated with the similarity profile test (SIMPROF), based on abundances of Gobius niger, reveals reciprocal relations among the 20 sampled stations in the Marchica Lagoon using the Bray–Curtis distance.
Fig. 2 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 2: Picture of Gobius niger from the Marchica Lagoon showing the main measurements taken: total length (TL), standard length (SL), head length (LT), snout length (SnL), body height (BH), and eye diameter (ED).
Fig. 7 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 7: Linear regression of the principal component score axis (PC1) from morphometric measurements on the log standard length of Gobius niger with projection of phenotypic groups.
Fig. 8 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 8: Haplotype network constructed from 16S rDNA sequences of Gobius niger. The size of a particular circle reflects the haplotype frequency. The numbers indicate the nodes.
Fig. 1 in The black goby Gobius niger Linnaeus, 1758 in the Marchica Lagoon (Alboran Sea, Morocco): spatio-temporal distribution, its environmental drivers, and the site-related footprint
Fig. 1: Map showing the geographical localization of the Marchica Lagoon and the sampling stations of Gobius niger.
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.