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Fig. 7 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 7. Micrographs of the outer edge of the inhalant siphon in mussels: 1 — A. cygnea (r. Derevychka); 2 — A. anatina (Lyutsymer lake); 3 — P. complanata (r. Uzh); 4 — S. woodiana (r. Danube). Рис. 7. Микрофотографии наружного края вводных сифонов у беззубок: 1 — A. cygnea (р. Деревичка); 2 — A. anatina (оз. Люцимер); 3 — P. complanata (р. Уж); 4 — S. woodiana (р. Дунай.
Fig. 5 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 5. The distribution of mussels from four species in the space of canonical variables made by conchological characters. N o t e. Еxtrapolation of specimens distribution on probability level is p <0.05. Рис. 5. Распределение особей четырёх видов беззубок в пространстве канонических переменных, построенных по конхиологическим признакам. П р и м е ч а н и е. Экстраполяция распределения особей проведена на уровне вероятности p <0,05.
Fig. 2 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 2. UPGMA phenogram of genetic distances (Nei, 1972) between mussel species and populations. N o t e. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Riwer systems: 1 — Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 1 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 1. Main places of material collection: 1 — r. Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 4 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 4. UPGMA phenogram of genetic distances (Tamura et al., 2004, 2011) between specimens of four Anodontinae species made by homologous sequences of two homologous loci (COI and 16S). Рис. 4. UPGMA фенограмма генетических дистанций (Tamura et al., 2004, 2011), построенная по гомологичным последовательностям двух локусов (COI и 16S) между отдельными особями четырёх видов Anоdontinae.
Fig. 3 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 3. Geographic variation of Mdh-1 locus in P. complanata populations in Ukraine (Mdh-1110 — filled with black, Mdh-1120 — filled with grey).
Fig. 6 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 6. The umbonal structure of the shell in molluscs from subfamily Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana. Рис. 6. Структура вершины раковины моллюсков подсемейства Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana.
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым). in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым).
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир. in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир.
Fig. 1 in Morphological Differentiation In Nestlings Turdus Philomelos (Passeriformes, Turdidae) And Staging In Their Development During The Nestling Period Of Postembryogenesis
Fig. 1. Dynamics of changes in 12 morphometric traits in nestlings during the nesting stage of postembryogenesis (from 1 to 14 days), the stage of fast growth (from 1 to 8 days) and of slow growth (from 8 to 14 days).
Fig. 3 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 3. The abundance (the mean number of individuals per sample) of campophilous and dendrophilous birds in groups of samples A (Clusters I–IV) and B (Clusters V–VI). N o t e. The central line represents median, the lower and upper limits of the rectangle — the first and third quartile respectively, "whiskers" — ± 1.5 of interquartile range; circles — outliers.
Fig. 1 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 1. The scheme of the study area. Аrenas of Low-Dnieper Sands: A — Kakhovska; B — Kozachelaherska; C — Oleshkivska; D — Chalbaska; E — Zburivska; F — Ivanivska; G — Kinburn Peninsula. N o t e. The first and the last sample of each census route are marked by numbers; the numbering of samples is the same as in table 1.
Fig. 4 in Spatial Patterns Of Bird Communities Of The Lower Dnieper Sands During The Breeding Season: Differentiation Factors
Fig. 4. The area ratio of different types of habitats on standard test plots in the groups of samples.
Data from: Chromosome-scale assembly with a phased sex-determining region resolves features of early Z and W chromosome differentiation in a wild octoploid strawberry
<p>Abstract: When sex chromosomes stop recombining, they start to accumulate differences. The sex-limited chromosome (Y or W) especially is expected to degenerate via the loss of nucleotide sequence and the accumulation of repetitive sequences. However, how early signs of degeneration can be detected in a new sex chromosome is still unclear. The sex determining region (SDR) of the octoploid strawberries is young, small, and dynamic. Using PacBio HiFi reads, we obtained a chromosome scale assembly of a female (ZW) <em>Fragaria chiloensis</em> plant carrying the youngest and largest of the known SDR on the W in strawberries. We fully characterized the previously incomplete SDR, confirming its gene content, genomic location and evolutionary history. Resolution of gaps in the previous characterization of the SDR added 10 kbp of sequence including a non-canonical LTR-retrotransposon; whereas the Z sequence revealed a <em>Harbinger</em> transposable element adjoining the SDR insertion site. Limited genetic differentiation of the sex chromosomes coupled with structural variation may indicate an early stage of W degeneration. The sex chromosomes have a similar percentage of repeats but differ in their repeat distribution. Differences in the pattern of repeats (transposable element polymorphism) apparently precede sex chromosome differentiation, thus potentially contributing to recombination cessation as opposed to being a consequence of it.</p> <p>Repository content: data (sequence alignments, phylogenetic trees, genome assembly, and vcf files) and scripts associated with the manuscript "Chromosome-scale assembly with a phased sex-determining region resolves features of early Z and W chromosome differentiation in a wild octoploid strawberry"</p>
Differential reproductive plasticity under thermal variability in a freshwater fish (Danio rerio)
<p>Human-driven increases in global mean temperatures are associated with concomitant increases in thermal variability. Yet, few studies have explored the impacts of thermal variability on fitness-related traits, limiting our ability to predict how organisms will respond to dynamic thermal changes. Among the myriad organismal responses to thermal variability, one of the most proximate to fitness – and, thus, a population's ability to persist - is reproduction. Here, we examine how a model freshwater fish (Danio rerio) responds to diel thermal fluctuations that span the species' viable developmental range of temperatures. We specifically investigate reproductive performance metrics including spawning success, fecundity, egg provisioning, and sperm concentration. Notably, we apply thermal variability treatments during two ontogenetic timepoints to disentangle the relative effects of developmental plasticity and reversible acclimation. We found evidence of direct, negative effects of thermal variability during later ontogenetic stages on reproductive performance metrics. We also found complex interactive effects of early and late-life exposure to thermal variability, with evidence of beneficial acclimation of spawning success and modification of the relationship between fecundity and egg provisioning. Our findings illuminate the plastic life-history modifications that fish may undergo as their thermal environments become increasingly variable.</p>
Ballistic capture sets at Mars using Differential Algebra with initial epoch December 9, 2023
<p>The data set is made of two items containing initial sub-domains of inconsistent, weakly-stable, unstable, crash, moon-crash, and capture sets at Mars [1]. They are compressed files that contain a classification of the sub-domains of the search-space defined and used to compute the consistency and quality criteria of the differential algebra mapping, as well as graphical representations of the search space. All initial sub-domains have initial epoch 09 DEC 2023 00:45:18.363 (UTC). The search space is built to maximize the capture ratio for Mars (see Figure 10 in [2]). Initial sub-domains are propagated in high-fidelity. The equations of motion of the restricted n-body problem including solar radiation pressure are considered. The first item contains a low-resolution mapping. The search space is divided 32 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 9 splits [3]. The first item contains a high-resolution mapping. The search space is divided 128 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 10 splits [3].</p> <p>The data set is associated to the following journal article:</p> <ul> <li> Article: Stable sets mapping with Taylor differential algebra with application to ballistic capture orbits around Mars</li> <li> Journal: Celestial Mechanics and Dynamical Astronomy</li> <li> Authors: Thomas Caleb (corresponding author: thomas.caleb@student.isae-supaero.fr), Gianmario Merisio, Pierluigi di Lizia, and Francesco Topputo</li> <li> DOI: <a href="https://www.doi.org/10.1007/s10569-022-10090-8">10.1007/s10569-022-10090-8</a></li> </ul> <p><strong>References</strong><br> [1] F. Topputo and E. Belbruno,'Earth–Mars transfers with ballistic capture', Celestial Mechanics and Dynamical Astronomy, Vol. 121, No. 4, 2015, pp. 329-346. DOI: <a href="https://doi.org/10.1007/s10569-015-9605-8">10.1007/s10569-015-9605-8</a><br> [2] Z.-F. Luo and F. Topputo, 'Analysis of ballistic capture in Sun–planet models', Advances in Space Research, Vol. 56, No. 6, 2015, pp. 1030-1041. DOI: <a href="https://doi.org/10.1016/j.asr.2015.05.042">10.1016/j.asr.2015.05.042</a><br> [3] A. Wittig, P. Di Lizia, et al., Propagation of large uncertainty sets in orbital dynamics by automatic domain splitting', Celestial Mechanics and Dynamical Astronomy, Vol. 122, No. 3, 2015, pp. 239-261. DOI: <a href="https://doi.org/10.1007/s10569-015-9618-3">10.1007/s10569-015-9618-3</a></p>
Magnetoencephalographic spectral fingerprints differentiate evidence accumulation from saccadic motor preparation in perceptual decision-making
<p>This repository contains the dataset of the paper "Magnetoencephalographic spectral fingerprints differentiate evidence accumulation<br> from saccadic motor preparation in perceptual decision-making".</p> <p>The dataset contains the MEG power spectrum of 16 subjects in the source space of a perceptual decision making experiment.</p>
Data from: Influence of the properties of different graphene-based nanomaterials dispersed in polycaprolactone membranes on astrocytic differentiation
<p><strong>Abstract</strong></p> <p>Composites of polymer and graphene-based nanomaterials (GBNs) combine easy processing onto porous 3D membrane geometries due to the polymer and cellular differentiation stimuli due to GBNs fillers. Aimingto step forward to the clinical application of polymer/GBNs composites, this study performs a systematic and detailed comparative analysis of the influence of the properties of four different GBNs: i) graphene oxide obtained from graphite chemically processes (GO); ii) reduced graphene oxide (rGO); iii) multilayered graphene produced by mechanical exfoliation method (G<sub>mec</sub>); and iv) low-oxidized graphene via anodic exfoliation (G<sub>anodic</sub>); dispersed in polycaprolactone (PCL) porous membranes to induce astrocytic differentiation. PCL/GBN flat membranes were fabricated by phase inversion technique and broadly characterized in morphology and topography, chemical structure, hydrophilicity, protein adsorption, and electrical properties. Cellular assays with rat C6 glioma cells, as model for cell-specific astrocytes, were performed. Remarkably, low GBN loading (0.67 %wt.) caused an important difference in the response of the C6 differentiation among PCL/GBN membranes. PCL/rGO and PCL/GO membranes presented the highest biomolecule markers for astrocyte differentiation. Our results pointed to the chemical structural defects in rGO and GO nanomaterials and the protein adsorption mechanisms as the most plausible cause conferring distinctive properties to PCL/GBN membranes for the promotion of astrocytic differentiation. Overall, our systematic comparative study provides generalizable conclusions and new evidences to discern the role of GBNs features for future research on 3D PCL/graphene composite hollow fiber membranes for <em>in vitro</em>neural models.</p>
Differential equity in access to public and private coastal infrastructure in the Southeastern United States
<p>Despite the ubiquity of coastal infrastructure, it is unclear what factors drive its placement, particularly for water access infrastructure (WAI) that facilitates entry to coastal ecosystems such as docks, piers, and boat landings. The placement of WAI has both ecological and social dimensions, and certain segments of coastal populations may have differential access to water. In this study, we employed an environmental justice framework to assess how public and private WAI in South Carolina, USA is distributed with respect to race and income. Using publicly available data from state agencies and the US Census Bureau, we mapped the distribution of these structures across the 301 km of the South Carolina coast. Using spatially explicit analyses with high resolution, we found that census block groups with lower income contain more public WAI, but racial composition has no effect. On the other hand, private docks showed the opposite trends, as the abundance of docks is significantly, positively correlated with census block groups that have greater percentages of White residents, while income has no effect. Under a "need-based" model of equity, we argue that WAI are not equitably distributed in South Carolina and constitute an environmental justice issue. We contend that the racially unequal distribution of docks is likely a consequence of the legacy of Black land loss, especially of waterfront property, throughout the coastal Southeast over the past half-century. Knowledge of racially inequitable distribution of WAI can guide public policy to rectify this imbalance and support advocacy organizations working to promote public water access. Our work also points to the importance of considering race in ecological research, as the spatial distribution of coastal infrastructure both directly affects ecosystems through the structures themselves and regulates which groups access water and what activities they can engage in at those sites.</p>
Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production
<p>This database contains selected variables associated with the rural economic sector of the Brazilian Legal Amazon distributed at municipal level by technological trajectories (TT) – techno-productive trajectories and their technological variants (TTP) -, as defined and theoretically justified by Costa (2021, p. 217-219).</p> <p>The TTs are designed by a method that combines <em>differentiation and structural signification</em> of rural production in a given territory – hereafter, Method of Differentiation and Structural Signification of Rural Production (M-DESTRU).</p> <p><em>Structural differentiation</em> (Phase 1) is necessary because production systems activities play different roles, depending on the systems production modes and their territorial context: cattle ranching, for example, performs very different economic functions when practiced in family structures (peasants) in the municipalities of the Lower Amazonas, in comparison with wage-based farms in Southeast Pará; the roles played by temporary crops in the peasant systems of the Lower Tocantins are also quite different from those that are observed among employers' establishments in the Lower Amazon; and so on. This phase of the methodology qualifies these differences and has its procedures described on pages 441 and 442 of Costa (2021).</p> <p>In phase 2, M-DESTRU verifies how these structurally dissimilar activities, combine with others linked to the practices of the agents of each production mode, conforming convergences that result in distinct patterns. These <em>patterns</em> are semantically associated with TTs or TTPs<em> structures</em> that are in movement, and these structures all together make up for the region's rural economic system. This Phase's procedures are detailed on pages 441 and 442 of the aforementioned work.</p> <p>The territory of the Brazilian Legal Amazon encompasses 772 municipalities: all from eight states (Acre, Amapá, Amazonas, Mato Grosso, Pará, Rondônia, Roraima and Tocantins) and part of the State of Maranhão (west of the 44ºW meridian).</p> <p>The base data are from the Brazilian Institute of Geography and Statistics (IBGE), from the 1995, 2006 and 2017 Agricultural Censuses. The credit data for 2017 are from the Central Bank of Brazil.</p> <p>The dataset is organized as: Zen1995_LegalAmazon_Inicial.csv; Zen2006_LegalAmazon_Inicial.csv and Zen2017_LegalAmazon_Inicial.csv. In each table the column names are self-explanatory.</p> <p> </p> <p>Reference:</p> <ul> <li>Costa FA. 2021. Structural diversity and change in rural Amazonia: A comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). Nova Economia 31(2). <p> </p> <p> </p> <p> </p> </li> </ul>
ScienceDex guides
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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.