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Рис. 2. Основные части теΛа и эΛементы окраски Mesobuthus eupeus: I – просома; II – мезосома; III – метасома; a – меΑиаΛьная поΛоса; b – парамеΑиаΛьная поΛоса; с – маргинаΛьная поΛоса; d – поперечная поΛоса; e – пятна. Fig. 2. Main body parts and colour pattern elements of Mesobuthus eupeus: I – prosoma; II – mesosome; III – metasoma; a – medial stripe; b – paramedical stripe; с – marginal stripe; d – transverse stripe; e – spots. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 2. Основные части теΛа и эΛементы окраски Mesobuthus eupeus: I – просома; II – мезосома; III – метасома; a – меΑиаΛьная поΛоса; b – парамеΑиаΛьная поΛоса; с – маргинаΛьная поΛоса; d – поперечная поΛоса; e – пятна. Fig. 2. Main body parts and colour pattern elements of Mesobuthus eupeus: I – prosoma; II – mesosome; III – metasoma; a – medial stripe; b – paramedical stripe; с – marginal stripe; d – transverse stripe; e – spots.
Рис. 21–25. Частота изменчивости основных эΛементов рисунка (меΑиаΛьной, парамеΑиаΛьных и маргинаΛьных поΛос) ΑорсаΛьной поверхности мезосомы Mesobuthus eupeus в посеΛениях кажΑой из выборок. 21 – Северо-ЗапаΑный Гобустан (n = 57); 22 – Северо-Восточный Гобустан (n = 40); 23 – ЦентраΛьный Гобустан (n = 81); 24 – Юго-Восточный Гобустан (n = 103); 25 – Юго-Восточный Ширван (n = 86). По оси абсцисс указаны посеΛения, по оси орΑинат – частота изменчивости. Figs 21–25. Frequency of variability of the main elements of pattern (medial, paramedical and marginal stripes) of dorsal surface of mesosome of Mesobuthus eupeus in conglomerations of each sample. 21 – northwestern Gobustan (n = 57); 22 – northeastern Gobustan (n = 40); 23 – central Gobustan (n = 81); 24 – southeastern Gobustan (n = 103); 25 – southeastern Shirvan (n = 86). Abscissas show conglomerations, ordinates – the frequency of variability. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)
Рис. 21–25. Частота изменчивости основных эΛементов рисунка (меΑиаΛьной, парамеΑиаΛьных и маргинаΛьных поΛос) ΑорсаΛьной поверхности мезосомы Mesobuthus eupeus в посеΛениях кажΑой из выборок. 21 – Северо-ЗапаΑный Гобустан (n = 57); 22 – Северо-Восточный Гобустан (n = 40); 23 – ЦентраΛьный Гобустан (n = 81); 24 – Юго-Восточный Гобустан (n = 103); 25 – Юго-Восточный Ширван (n = 86). По оси абсцисс указаны посеΛения, по оси орΑинат – частота изменчивости. Figs 21–25. Frequency of variability of the main elements of pattern (medial, paramedical and marginal stripes) of dorsal surface of mesosome of Mesobuthus eupeus in conglomerations of each sample. 21 – northwestern Gobustan (n = 57); 22 – northeastern Gobustan (n = 40); 23 – central Gobustan (n = 81); 24 – southeastern Gobustan (n = 103); 25 – southeastern Shirvan (n = 86). Abscissas show conglomerations, ordinates – the frequency of variability.
Data from: Multiple spawning run behavior and population consequences in migratory striped bass Morone saxatilis
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Zebras of all stripes repel biting flies at close range
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Data from: No support for solar radiation as a major evolutionary driver of malar stripes in falcons
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Data for: Wild microbiomes of striped plateau lizards vary with sex, body size, and reproductive season
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California Department of Fish and Wildlife Adult Striped Bass Study, Sacramento-San Joaquin Watershed, California, 1969-2022
The Adult Striped Bass Study was operated by the California Department of Fish and Wildlife (previous Department of Fish and Game) between 1969 and 2022. The objective of this study was to generate estimates of adult striped bass harvest and abundance for use in managing the striped bass recreational fishery and tracking impacts of water management on the striped bass population. Striped bass and other species were captured using 20' length by 10' diameter fyke traps and 600' length by 21' depth surface-drift style gillnets with stretched mesh measurements of 4", 4.5", 5", and 5.5". The survey typically operated between April and June, with fyke traps deployed in the Sacramento River and gillnets deployed in the lower Sacramento and San Joaquin Rivers. A portion of adult or legal-sized striped bass were tagged with external 1/2" Petersen-disk tags for use in mark-recapture analyses. All external tags were individually coded, and a subset were assigned a reward value of 2 to 100 US dollars. Due to the targeted nature of this study, non-striped bass species and untagged striped bass were not recorded prior to 1996. In addition, effort data (aside from sampling day/event) are not available prior to 1994. Due to these and other limitations, the publishing authors recommend caution be exercised when attempting to quantify relative trends in abundance (i.e. CPUE) from these data.
Summary of the commercial and recreational striped bass fisheries conducted in Massachusetts from 1986 to present.
This dataset summarizes the commercial and recreational striped bass fisheries conducted in Massachusetts. Data sources used to characterize the state fisheries come from monitoring programs of the Massachusetts Division of Marine Fisheries (Marine Fisheries, the Division) and National Marine Fisheries Service (NOAA Fisheries), which are considered to be essential elements of the long-term management approach described in Section 3 of the Atlantic States Marine Fisheries Commission’s (ASMFC) Fisheries Management Report No. 41 (Amendment #6 to the Interstate Fishery management Plan for Atlantic Striped Bass (IFMP)). Fisheries data are compiled from four Massachusetts regions (Cape Cod Canal, Southern Massachusetts, Cape Cod Bay, Northern Massachusetts). Data begins with year 1986 and is updated to present years as data is made available.
Lyman-alpha tomographic map of the large-scale matter distribution using the eBOSS - Stripe 82 data
<p><strong>Lyman-alpha tomography map using DR16 eBOSS data</strong></p> <p>This data release contains products associated to the Lyman-alpha large-scale tomographic map realized with the 16<sup>th</sup> data release of SDSS-eBOSS. The densest Lyman-alpha forest set of eBOSS in the Stripe 82 field is used : 220 deg<sup>2</sup> wide field with a 37 deg<sup>-2</sup> density. A Lyman-alpha flux contrast map over a volume of 0.94 h<sup>-3</sup>Gpc<sup>3</sup> is obtained. Voids and protoclusters are detected in this portion of the sky.</p> <p>For more details : see https://arxiv.org/abs/2004.01448</p> <p>All the data detailed below can be opened by using the short python script read_data_release.py.</p> <p><strong>Pixels and map data</strong></p> <p>The pixel file pixels_lya_tomography_stripe82.bin was used to create the Lya tomographic map map_lya_tomography_stripe82.bin by using the dachshund algorithm (https://github.com/caseywstark/dachshund).</p> <p>Pixel and map file are in the binary numpy format. Pixels are created from 8999 Lya forests positioned from -43° to +45° in the RA(J2000) direction, from -1.25° to +1.25° in the DEC(J2000) direction and from z=2.1 to z=3.2. The (RA,DEC,z) coordinates are converted to (X,Y,Z) coordinates in Mpc.h<sup>-1</sup>. The pixel file shares the same origin than the map. Each pixel is defined by a set of five floats corresponding to (X, Y, Z, σ, 𝛿) where 𝛿 is the Lyman-alpha flux contrast and σ its associated error based on pipeline noise.</p> <p>The map is also a binary numpy file. It contains a (6354,181,834) Mpc.h<sup>-1</sup> cube of Lyman-alpha flux contrast with a pixel shape (2928,90,417). The origin of the map (0,0,0) corresponds to the coordinates RA=-43°, DEC=-1.25° and z=2.1 and in the cube coordinate to (X,Y,Z)=(0,0,0) Mpc.h<sup>-1</sup>.</p> <p>Note that to obtain this map, the pixel file was first separated to parallelize the tomographic procedure. In comparison to the map detailed in the linked article, this map is rebinned to be less voluminous. Furthermore, a mask is applied to the map where the distance to the nearest line-of-sight of the pixel file is below 20 Mpc.h<sup>-1</sup>. At these locations, map flux contrast is put to 0.</p> <p> </p> <p><strong>Derived catalog data</strong></p> <p>Voids and proto-cluster searches are applied to the tomographic map. The results of this procedure, along with additional catalog cut is given in this data release. Catalogs of voids (catalog_voids_lya_stripe82_*.fits) and proto-clusters (catalog_protoclusters_lya_stripe82_*.fits) are given in the (X,Y,Z) and (RA,DEC,z) coordinates of the map, sharing the same origin. The catalogs are in the FITS format which can be opened with the fitsio python library.</p>
Comparative migration ecology of striped bass and Atlantic sturgeon in the US Southern Mid-Atlantic Bight flyway
<p>Seasonal migrations are key to the production and persistence of marine fish populations but movements within shelf movement corridors or, "flyways", are poorly known. Atlantic sturgeon and striped bass, two anadromous species of concern, are known for their extensive migrations along the US Middle-Atlantic Bight. Seasonal patterns of habitat selection are well described within spawning rivers, estuaries, and shelf foraging habitats, but information on the location and timing of key coastal migrations is limited. Using a gradient-based array of acoustic telemetry receivers, we compared the seasonal incidence and movement behavior of these species in the near-shelf region of Maryland, USA. Atlantic sturgeon incidence was highest in the spring and fall and tended to be biased toward shallow regions, while striped bass had increased presence during spring and winter months and selected deeper waters. Incidence was transient (mean = ~2 d) for both species with a pattern of increased residency (> 2 d) during autumn and winter, particularly for striped bass, with many individuals exhibiting prolonged presence on the outer shelf during winter. Flyways also differed spatially between northern and southern migrations for both species and were related to temperature: striped bass were more likely to occur in cool conditions while Atlantic sturgeon preferred warmer temperatures. Observed timing and spatial distribution within the Middle-Atlantic flyway were dynamic between years and sensitive to climate variables. As shelf ecosystems come under increasing maritime development, gridded telemetry designs represent a feasible approach to provide impact responses within key marine flyways like those that occur within the US Middle-Atlantic Bight. </p>
Amazing striped flint stone
Found at a highway construction site, possibly an artifact from the glacial period. DSLR ~ 300 photos Source: Objaverse 1.0 / Sketchfab
Data from: Conspicuous stripes on prey capture attention and reduce attacks by foraging jumping spiders
<p class="MsoNormal"><span>Many animals avoid predation using aposematic displays that pair toxic/dangerous defenses with conspicuous achromatic warning patterns, such as high-contrast stripes. To understand how these prey defenses work, we need to understand the decision-making of visual predators. Here we gave two species of jumping spiders (</span><em>Phidippus regius</em><span><em><span> </span></em>and </span><em>Habronattus trimaculatus</em><span>) choice tests using live termites that had their back patterns manipulated using paper capes (solid white, solid black, striped). For </span><em>P. regius</em><span><em><span>,</span></em> black and striped termites were quicker to capture attention. Yet despite this increased attention, striped termites were attacked at lower rates than either white or black. This suggests that the termite's contrast with the background elicits attention, but the internal striped body patterning reduces attacks. Results from tests with </span><em>H. trimaculatus</em><span> were qualitatively similar but did not meet the threshold for statistical significance. Additional exploratory analyses suggest th</span>at attention to and aversion to stripes is at least partially innate and provide further insight into how decision-making played out during trials. Because of their rich diversity (over 6500 species) that includes variation in natural history, toxin susceptibility, degree of color vision, and dietary specialization, jumping spiders are well-suited to test broad generalizations about how and why aposematic displays work. </p>
QTL mapping for seedling and adult plant resistance to stripe and leaf rust in two winter wheat populations
<p><span>The two recombinant inbred lines (RIL) populations developed by crossing Almaly × Avocet S (206 RILs) and Almaly × Anza (162 RILs) were used to detect the novel genomic regions associated with adult plant resistance (APR) and seedling or all-stage resistance (ASR) to yellow rust (YR) and leaf rust (LR). Both the populations were evaluated for YR APR in two environments (2018 and 2019) and LR APR in three environments (2018, 2019, and 2020) in the Anza population and two environments (2018 and 2019) in the Avocet population; both the populations were phenotyped for one environment during 2020 for LR and YR ASR and genotyped using high throughput DArTseq technology. A set of 51 QTLs including 22 for YR APR, nine for LR APR, nine for YR ASR, and 11 for LR ASR were identified. Also, a set of 13 stable QTLs including nine QTLs (<em>QYR-APR-2A.1, QYR-APR-2A.2, QYR-APR-4D.2, QYR-APR-1B, QYR-APR-2B.1, QYR-APR-2B.2, QYR-APR-3D, QYR-APR-4D.1, </em>and<em> QYR-APR-4D.2</em>) for YR APR and four QTLs (<em>QLR-APR-4A, QLR-APR-2B, QLR-APR-3B, </em>and<em> </em></span><em>QLR-APR-5A.2</em>) <span>for LR APR were identified. </span><span>In silico analysis revealed that the key putative candidate genes such as <em>Cytochrome P450</em></span><em><span>, Protein kinase-like domain superfamily</span><span>, Zinc-binding ribosomal protein</span><span>, SANT/Myb domain</span><span>, WRKY transcription factor</span><span>, Nucleotide-sugar transporter,</span></em><span> and <em>NAC</em> </span><em><span>domain superfamily</span></em><span> were in the QTL regions and involved in the regulation of host response towards the pathogen infection. </span><span>The stable QTLs identified in this study are useful for developing rust-resistant varieties through marker-assisted selection (MAS).</span></p>
Chemical Analysis and Utilization of Striped Catfish (Pangasianodon hyopohthalmus)
<p>Catfish (<i>Pangasianodon hypopthalmus</i>) is known in Asia, more specifically in Southeast Asia such as Vietnam, Thailand, Indonesia, Malaysia, Cambodia, Burma, and Brunei Darussalam. Currently, this fish has been exported to almost all countries in the world. This research aimed to analyze the chemical composition of the waste and find for alternative economical uses of the catfish processing business waste</p>
Stripe-Like Echoes Scattered from Nighttime F-Region Field-Aligned Irregularities at Low-Latitudes
<p>The dataset reports the estimated vertical Total Electron Content (TEC) from 221 GPS receivers came from the Crustal Movement Observation Network of China on 9 September 2017. Every receiver's data is saved in a TXT file, whose time resolution is thirty seconds.</p>
Fig. 9 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Fig. 9. Known distribution of Christopherus mictlantecuhtli gen. et sp. nov.
Comparing mixed models and Random Forest association tests using naturalGWAS and a Striped Bass SNP dataset
<p>In this study, we used the phenotype simulation package naturalGWAS to test the performance of Zhao's Random Forest method in comparison to an uncorrected Random Forest test, latent factor mixed models (LFMM), genome-wide efficient mixed models (GEMMA), and confounder adjusted linear regression (CATE). We created 400 sets of phenotypes, corresponding to five effect sizes and 2, 5, 15, or 30 causal loci, simulated from two empirical datasets containing SNPs from Striped Bass representing three and 13 populations. All association methods were evaluated for their ability to detect genotype-phenotype associations based on power, false discovery rates, and number of false positives. Genomic inflation was highest for uncorrected Random Forest and LFMM tests and lowest for Gemma and Zhao's Random Forest. All association tests had similar power to detect causal loci, and Zhao's Random Forest had the lowest false discovery rate in all scenarios. To measure the performance of association tests in small datasets with few loci surrounding a causal gene we also ran analyses again after removing causal loci from each dataset. All association tests were only able to find true positives, defined as loci located within 30k bp of a causal locus, in 3%–18% of simulations. In contrast, at least one false positive was found in 17%–44% of simulations. Zhao's Random Forest again identified the fewest false positives of all association tests studied. The ability to test the power of association tests for individual empirical datasets can be an extremely useful first step when designing a GWAS study.</p>
FIGURE 1 in A new striped species of Brachychalcinus (Ostariophysi: Characiformes) from Amapá and Pará states, northern Brazil
FIGURE 1 | Brachychalcinus sabaji, holotype, IEPA 6879, 69.7 mm SL, Brazil, Amapá, rio Jari basin.
Fig. 2 in Relationship between fish length and otolith dimensions of Yellow striped goatfish, Upeneus vittatus (Forsskal, 1775) along the Indian coast
Fig. 2 — Photograph of U. vittatus
Fig. 1 in Relationship between fish length and otolith dimensions of Yellow striped goatfish, Upeneus vittatus (Forsskal, 1775) along the Indian coast
Fig. 1 — Map showing the sampling locations of U. vittatus along the Indian coast.
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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.