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Fig. 17 in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 17. Stereoscan microphotographs of selected Chitinozoa from the Kytayhorod section. A, H. Margachitina margaritana (Eisenack, 1937). A. ZPAL Ch. 8/170S42, sample Kt 06/03; chain of ten vesicles in lateral view (A1) and detail of the connetcion between the vesicle (A2). H. ZPAL Ch. 8/170S32, sample Kt 08/11; fragment of a chain of two slightly deformed vesicles showing how aperture is linked to the succeeding vesicle. B. Calpichitina densa (Eisenack, 1962), ZPAL Ch 8/176S58, sample Kt 06/15. C. Pterochitina cf. macroptera Eisenack, 1959, ZPAL Ch. 8/156S128, sample Kt 06/16. D. Ancyrochitina sp., ZPAL Ch 8/176S58, sample Kt 06/06. E. Eisenackitina dolioliformis Umnova, 1976, ZPAL Ch 8/176S73, sample Kt 06/05. F. Cingulochitina odiosa (Laufeld, 1974), ZPAL Ch 8/172S46, sample Kt 06/16. G. Cingulochitina crassa Nestor, 1994, ZPAL Ch 8/172S48, sample Kt 06/13. I. Angochitina longicollis Eisenack, 1959, ZPAL Ch. 8/157S62, sample Kt 08/10. J. Ancyrochitina primitiva Eisenack, 1964, ZPAL Ch 8/176S58, sample Kt 06/08. K. Eisenackitina lagena (Eisenack, 1968), ZPAL Ch 8/176S70, sample Kt 06/03. L, M. Conochitina proboscifera Eisenack, 1937. L. ZPAL Ch 8/176S50, sample Kt 06/17. M. ZPAL Ch 8/176S41, sample Kt 06/14. N. Conochitina tuba Eisenack, 1932, ZPAL Ch 8/176S40, sample Kt 06/16. O, P. Conochitina pachycephala Eisenack, 1964. O. ZPAL Ch 8/176S39, sample Kt 06/18. P. ZPAL Ch 8/176S44, sample Kt 06/17. Q. Conochitina cf. mamilla Laufeld, 1974, ZPAL Ch 8/176S27, sample Kt 06/13. R. Conochitina sp. ZPAL Ch 8/176S29, sample Kt 06/11. S. Cingulochitina cingulata (Eisenack, 1937), ZPAL Ch 8/172S55, sample Kt 06/15.
Fig. 6. A in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 6. A. Secular trends of δ13C and δ18O values in carbonate and organic matter, Δ13C and total organic carbon from section 96 near Kytayhorod village (see SOM 1). Lithology after Nikiforova et al. (1972: fig. 82), modified. Three slices E−1 to E−3 (marked by shades of grey) denote of the early Sheinwoodian (ESCIE) carbon isotope excursion: the interval E−2 corresponds to the isotopic highstand (see a widened excursion definition in Cramer et al. 2010, also Sadler 2012); E−1 and E−3 to the increasing and decreasing curve segments, respectively, and E−4 to the regional background. Note that the Ireviken biotic event (crossed band) correlates with the initial positive δ13C shift slice (E−1); the lower event boundary corresponds the last occurrence of conodont Pseudooneotodus tricornis, and the upper boundary is questionably placed above the disappearance of chitinozoan Eisenackitina cf. dolioliformis (Figs. 15, 16; see Jeppsson 1997; Nestor et al. 2002;). Approximated Δ13C levels are calculated for δ13Cvalues averaged for two stratigraphically adjacent samples, carb as shown also by a dotted line of the curve. The microfacies illustrated are marked as rectangles. B. General view of the natural outcrop in the Dniester River valley (Tarnawa tributary) near Kytayhorod village; arrow indicates the main sampled site.
Fig. 2. A in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 2. A. General location of the study area in Ukraine. B. Distribution of the Silurian and Devonian deposits in Podolia, SW Ukraine, and geological setting of the study area. C. Location of two sampled outcrops (arrowed) in the vicinity of Dniester valley (modified from Małkowski et al. 2009: fig. 1). Section numbers after Nikiforova et al. (1972): Kytayhorod (96) and Dnistrove (64).
Fig. 16 in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 16. Distribution of chitinozoans species, diversity, and ecological indices in the Kytayhorod section. Shades of gray denote three slices of the ESCIE.
Fig. 9 in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 9. Stratigraphic distribution of the Al−normalized abundance for selected major and trace elements as well as Al2O3 and TOC contents (wt.%) and the U/Th and V/Cr ratios from the Dnistrove section (see SOM 4). Approximated proxy values, resulted from the Mo, V, and Cr content below the detection levels, are asterisked. Averaged data for the higher Lower Devonian strata from Zalishchyky (Ivanie Beds; Małkowski et al. 2009; Fig. 2; see SOM 4) are also shown. Shades of gray denote two slices of the SIDECIE.
Fig. 4 in Faunal dynamics across the Silurian-Devonian positive isotope excursions (δ C, δ O) in Podolia, Ukraine: Comparative analysis of the Ireviken and Klonk events
Fig. 4. Lithologic and faunal succession through the Silurian–Devonian boundary beds at Dnistrove in the early Klonk Event, with detail of newly proposed Dnistrove Level, against the secular pattern of δ13C (black curve) and δ18O (grey curve) values (after Małkowski and Racki 2009: table 2). Note that the system boundary is placed 0.7 m higher than the tentative positioning given in Małkowski et al. (2009: fig. 6). Onset of the carbon isotope anomaly (SIDECIE), first appearances of the index graptolite and conodont species are shown, as well as the key brachiopod distribution (Baliński 2012; see also Figs. 8, 19, 20), rapid lateral changes of crinoid accumulations, and selected samples.
FIGURE 1 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 1. Simplification of the center of head movement as a joint in extinct Temnospondyli amphibian when biting. Elaborated from the original image (en.wikipedia.org/wiki/File:Jammerbergia_formops.jpg). Under license: CC BY-SA 3.0 (creativecommons.org/licenses/by-sa/3.0/).
FIGURE 4 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 4. Von Mises stress distribution in the skull for the Static Analysis in FEA in cases 1A, 2A, 3A, 1B, 2B and 3B.
FIGURE 2 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 2. Studied test cases of different feeding movements when applying a force F=800 N in the direction of the red arrow (when the force is perpendicular at the view the red arrow is a red dot). Case 1A, 2A and 3A with a fixed boundary condition in the condyle without the web of beams. Case 1B, 2B and 3B with the web of beams in the condyle and a fixed boundary condition.
Supplemental Material to "The Small-Amplitude Dynamics of Spontaneous Tropical Cyclogenesis. Part II: Linear Stability Analysis"
<p>This is the supplemental material to the manuscript "The Small-Amplitude Dynamics of Spontaneous Tropical Cyclogenesis. Part II: Linear Stability Analysis". It deposits:</p> <p>(1) A handwritten math derivation note (math_derivation_note.pdf).</p> <p>(2) A movie version of Figure 1 (Part_II_movie.avi).</p> <p>(3) The Fortran code for amplifying the longwave radiative feedback in CM1 (Radiation_amplification_RAD_parameter_in CM1.txt).</p> <p>(4) The MATLAB postprocessing codes for generating data figures (postprocessing_code.zip).</p> <p>(5) The MATLAB solver of the four-layer QG model (four_layer_QG_solver.m).</p> <p>(6) Supplemental figures (supplement_figures.pdf). </p> <p>Please contact Dr. Hao Fu (haofu@uchicago.edu or haofu736@gmail.com) if you have any questions. </p>
Social-ecological dynamics of quarry restoration: a Flickr data analysis
<div> <div> <div> <p><span>With increasing urbanization and demand for construction materials, quarries have become central to the recovery of degraded landscapes into spaces that offer ecological, but also social benefits. While ecological restoration has long been investigated, integrated social-ecological restoration of post-mining landscapes remains underexplored. The overall aim of this study is to assess the perceptions of cultural ecosystem services and landscape features expressed in social media posts about quarries in Germany, Denmark, and the Czech Republic. We focus on concepts of cultural ecosystem services and landscape features to investigate the interactions between humans and restored ecosystems. Using a mixed-methods approach, we analyzed 1,660 geotagged photographs from 50 quarries across three regions: Berlin, Roskilde, and the Czech Karst. Flickr social media images were analyzed to elicit the richness of cultural ecosystem services (CES) and landscape features (LF), highlighting popular quarries and their social-ecological significance. Our results indicate that rehabilitated quarries exhibit higher CES richness than abandoned or operational ones, and that accessibility significantly influences public engagement. Our study demonstrates that once primarily industrial sites, quarries can evolve into vibrant social-ecological systems that provide diverse landscape features and cultural ecosystem services. It also points to the potential of social media data for designing restoration efforts from a social-ecological perspective. Such an approach provides insights into public perceptions of restored landscapes and may inform future restoration strategies. </span></p> <p> This dataset includes: (1) the review protocol, (2) a list of place names used for data collection on Flickr when posts were not geolocated, (3) data on landscape features and cultural ecosystem services identified in Flickr posts from 50 study quarries, (4) characteristics of the quarries, and (5) a shapefile of the quarry polygons.</p> <p> </p> <p> </p> </div> </div> </div>
Diffusion Coefficient Analysis by Dynamic Light Scattering Enables Determination of Critical Micelle Concentration
<p>This upload contains dynamic light scattering data files obtained from the work described in the manuscript that is published by Lena Nielinger and co-workers in ChemPlusChem (<a href="https://doi.org/10.1002/cplu.202400645">https://doi.org/10.1002/cplu.202400645</a>) (WILEY). The files in this repository contain dynamic light scattering data obtained from the analysis of different detergents series and can be downloaded and analysed with a Zetasizer software according to the instructions procied in the manuscript. For information on how to obtain the the Zetasizer software, we refer to the customer support and/or website of the company Malvern Panalytical.</p>
Dataset: A review of methods to trace material flows into final products in dynamic material flow analysis - from industry shipments in physical units to monetary input-output tables (p
<p>Dynamic material flow analysis (dMFA) is widely used to model stock-flow dynamics. To appropriately represent material lifetimes, recycling potentials, and service provision, dMFA requires data about the allocation of economy-wide material consumption to different end-use products or sectors, that is, the different product stocks, in which material consumption accumulates. Previous estimates of this allocation only cover few years, countries, and product groups. Recently, several new methods for estimating end-use product allocation in dMFA were proposed, which so far lack systematic comparison. We review and systematize five methods for tracing material consumption into end-use products in inflow-driven dMFA and discuss their strengths and limitations. Widely used data on industry shipments in physical units have low spatio-temporal coverage, which limits their applicability across countries and years. Monetary input–output tables (MIOTs) are widely available and their economy-wide coverage makes them a valuable source to approximate material end-uses. We find four distinct MIOT-based methods: consumption-based, waste input–output MFA (WIO-MFA), Ghosh absorbing Markov chain, and partial Ghosh. We show that when applied to a given MIOT, the methods’ underlying input–output models yield the same results, with the exception of the partial Ghosh method, which involves simplifications. For practical applications, the MIOT system boundary must be aligned to those of dMFA, which involves the removal of service flows, sector (dis)aggregation, and re-defining specific intermediate outputs as final demand. Theoretically, WIO-MFA, applied to a modified MIOT, produces the most accurate results as it excludes massless and waste transactions. In part 2 of this work, we compare methods empirically and suggest improvements for aligning MIOT-dMFA system boundaries.</p>
Trade network dynamics and alien plant pest introductions: A global analysis
<p>This is a supplement to "Trade network dynamics and alien plant pest introductions: A global analysis", Diversity and Distributions (<a href="https://doi.org/10.1111/ddi.13963">https://doi.org/10.1111/ddi.13963</a>). These data were partially derived from the following resources available in the public domain: <a href="http://www.cepii.fr/CEPII/fr/welcome.asp">www.cepii.fr/CEPII/fr/welcome.asp</a>; Seebens et al. (2017) (dataset DOI: <a href="https://doi.org/10.12761/sgn.2016.01.022">https://doi.org/10.12761/sgn.2016.01.022</a>); Fenn-Moltu et al. 2022 (dataset DOI: <a href="https://doi.org/10.5061/dryad.8931zcrrq">https://doi.org/10.5061/dryad.8931zcrrq</a>).</p>
Statistical analysis code for output from a model used to simulate foot-and-mouth disease dynamics in the United Kingdom
<p>Epidemics can sometimes be managed through reductions of host density, such as social distancing for human diseases, reducing plant density through cultural and genetic means, and host culling for epizootics. These approaches allow for a certain density of hosts to remain within a targeted area. By contrast, total ring depopulation is often used as a management strategy for emerging infectious diseases in livestock. In this study, we explore the trade-offs of a density-based culling strategy to determine if fewer livestock farms can be culled within rings while maintaining a decrease in disease transmission. To do so, we evaluated a farm-density-based ring culling strategy to control foot-and-mouth disease (FMD) in the United Kingdom. This strategy may allow for some farms within rings around infected premises (IPs) to escape depopulation, with the aim to prevent over-culling during outbreaks. Using a spatially-explicit, stochastic, state-transition simulation algorithm originally developed by Keeling et al. 2001 to model FMD spread in the United Kingdom, we simulated this reduced-farm-density, or "target density" strategy. We modeled FMD disease spread in four counties in the UK (Aberdeenshire, Cumbria, Devon, and North Yorkshire) that have different farm demographies. We ran 740,000 simulations in a full-factorial analysis of epidemic impact measurements (i.e. culled animals, culled farms, epidemic length) and cull strategy parameters (i.e. target farm density, daily farm cull capacity, cull radius). We found that all of the cull strategy parameters were drivers of epidemic impact. We found that outbreaks in Cumbria had higher epidemic impacts and were more likely to take off compared with other counties with more outbreaks being likely to take off in Cumbria. Most importantly, in all counties, our proposed target density strategy was more effective at combatting FMD compared with traditional 'total ring depopulation' when considering average culled animals and culled farms. The differences in epidemic impact between the counties are likely driven by farm demography, especially differences in cattle and farm density. This target density strategy can be applied to many different systems, including other livestock and agricultural systems, to reduce host density as opposed to over-culling hosts.</p>
Figure 1 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 1 Location of the study plots. G – goose pasture and meadow, Go – goat pasture and meadow, F – fallow deer pasture and meadow.
Figure 3 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 3 Detrended correspondence analysis (DCA) for most abundantA(> 0.5) oribatid species (adults and juveniles). Season, eigenvalues for
Figure 2 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 2 Age structure of Oribatida in spring (Sp), summer (Su) and autumn (Au); a, b – significant difference between seasons atp ≤ 0.05; the same letter indicates that difference is not significant. Adult pasturep-value=0.236, juvenile pasture p-value=0.011, adult meadowp-value=0.156, juvenile meadowp-value=0.080.
Figure 4 in Seasonal dynamics of mites (Acari) in pastures and meadows in Poland, with species analysis of Oribatida
Figure 4 Detrended correspondence analysis (DCA) for most abundant oribatid species (adults and juveniles) with A>(0.5). Study site eigenvalues for axis 1 ʎ = 0.50 (84.07%), for axis 2 ʎ = 0.02 (3.08%). Pasture and meadow in spring (sp), summer (su) and autumn (au). A_col – Achipteria coleoptrata, E_occ – Eupelops occultus, L_sim – Liebstadia similis, M_pul – Metabelba pulverosa, P_pel – Platynothrus peltifer, P_pun – Punctoribates punctum, S_lae – Scheloribates laevigatus, S_imm – Sellnickochthonius immaculatus, T_vel – Tectocepheus velatus, T_nov – Trichoribates novus.
Data from: Diversification dynamics of Cheilostome Bryozoa based on a Bayesian analysis of the fossil record
<p>Cheilostomata is the most diverse and ecologically dominant order of bryozoans living today. We apply a Bayesian framework to estimate macroevolutionary rates of cheilostomes since the Late Jurassic across four datasets: I) manually curated genus ranges, II) published text-mined genus ranges, III) non-revised Paleobiology Database (PBDB) records, IV) revised and augmented PBDB records. All datasets revealed increased origination rates in the Albian, and a twin K-Pg and Danian extinction rate peak. High origination rates in the late Selandian-Ypresian in Dataset I indicate the onset of an ascophoran-grade radiation. Lineage-through-time plots confirm the macroevolutionary lag preceding the radiation of cheilostomes in the mid-Cretaceous, and their renewed diversification in the late Paleocene and Eocene. A multivariate birth-death model indicates that origination rates are shaped by diversity-dependent dynamics coupled with a positive correlation with sea surface temperature, while extinction rates negatively correlate with sea level. Text-mined data provide broadly similar rate dynamics as manually curated data, although discrepancies could be attributed to the omission of key literature in Dataset II, and the inclusion of new published and unpublished data, and revised ranges in Dataset I. Revision and augmentation of PBDB occurrences were necessary to generate rate profiles akin to those of Datasets I and II and highlight the risks of using unedited occurrence data. Our results support the widely held assumption that diversification dynamics are controlled by both biotic and abiotic factors and pave the way for integrating fossils with molecular phylogenies to study these processes in more detail.</p>
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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.