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Рис. 7. Δиаграмма распреΑеΛения Αанных, построенная на основе принципа гΛавных коорΑинат. Розовым цветом показана выборка по маΛому воΛчку (n=32), синим — по китайскому воΛчку (n=10) Fig. 7. Data distribution diagram based on the principal coordinates. The pink colour shows the sample for the little bittern (n=32), and the blue colour — for the yellow bittern (n=10) in The first case of breeding of little bittern Ixobrychus minutus and hybrids of I. minutus with I. sinensis in the Russian Far East
Рис. 7. Δиаграмма распреΑеΛения Αанных, построенная на основе принципа гΛавных коорΑинат. Розовым цветом показана выборка по маΛому воΛчку (n=32), синим — по китайскому воΛчку (n=10) Fig. 7. Data distribution diagram based on the principal coordinates. The pink colour shows the sample for the little bittern (n=32), and the blue colour — for the yellow bittern (n=10)
Рис. 1. Карта-схема заказника «УΑыΛь» с указанием станций отбора проб зообентоса (с сайта ФГБУ «ЗаповеΑное Приамурье». URL: http://www.zapovedamur.ru/zakaznik_udyl) Fig. 1. Map-scheme of the Udyl Nature Reserve with indication of zoobenthos sampling stations (from website of the Federal State Budgetary Institution "Zapovednoe Priamurye. Available at: http://www.zapovedamur.ru/zakaznik_udyl) in Quantitative zoobenthos characteristics of the Udyl Lake basin (Udyl Nature Reserve, Khabarovsky Region)
Рис. 1. Карта-схема заказника «УΑыΛь» с указанием станций отбора проб зообентоса (с сайта ФГБУ «ЗаповеΑное Приамурье». URL: http://www.zapovedamur.ru/zakaznik_udyl) Fig. 1. Map-scheme of the Udyl Nature Reserve with indication of zoobenthos sampling stations (from website of the Federal State Budgetary Institution "Zapovednoe Priamurye. Available at: http://www.zapovedamur.ru/zakaznik_udyl)
Fig. 1. Sample completeness curve for a in Abundance and diversity of beneficial and pest arthropods in buckwheat on blueberry and vegetable farms in north Florida
Fig. 1. Sample completeness curve for a vegetable farm (dark shaded area, 38 samples) and blueberry farm (light shaded area, 19 samples) in Suwannee County, Florida. The solid line is the interpolated insect family-level richness and the dashed line is the extrapolated richness. The shaded areas represent 95% confidence intervals. Sampling effort is standardized based on the sample completeness (the proportion of sampled families to predicted families) at each sampling level, with the circle representing final sampling completeness of 38 samples taken at the vegetable farm and the triangle representing final sampling completeness of 19 samples taken at the blueberry farm.
Fig. 1. Samples were identified within a in Diversity of Cryptosporidium in brush-tailed rock-wallabies (Petrogale penicillata) managed within a species recovery programme
Fig. 1. Samples were identified within a phylogenetic framework with the tree constructed using neighbour-joining with bootstrap test (1,000 replicates, displayed at nodes) using the 18S rRNA locus (878 bp). KV denotes Kangaroo Valley.
Fig. 2. Melt curves for unknown samples. Each peak shows the melting temperature for a in Endoparasites in the feces of arctic foxes in a terrestrial ecosystem in Canada
Fig. 2. Melt curves for unknown samples. Each peak shows the melting temperature for a different coccidian species. Red: Sarcocystis (cervid), Blue: Neospora/Hammondia, Orange: Sarcocystis (avian), Black: Cystoisospora, Green: Eimeria sp., Pink: Eimeria sp. The horizontal axis indicates melting temperature (°C) and the vertical axis [—d(RFU)/dT] is related to the amount of DNA present.
Fig. 4. Relationship between liver weight and host age for elk sampled from 2009 in Fluke abundance versus host age for an invasive trematode (Dicrocoelium dendriticum) of sympatric elk and beef cattle in southeastern Alberta, Canada
Fig. 4. Relationship between liver weight and host age for elk sampled from 2009 to 2011 from Cypress Hills Park, Alberta. Regression lines are maximum likelihood estimates.
Fig. 2 in Endo- and ectoparasites of large whales (Cetartiodactyla: Balaenopteridae, Physeteridae): Overcoming difficulties in obtaining appropriate samples by non- and minimally-invasive methods
Fig. 2. Minimally-invasive sampling method. Dart-based skin biopsy sampling using a crossbow from a free-ranging sperm whale (Physeter macrocephalus) in the North Atlantic Ocean, Portugal.
Fig. 1 in Endo- and ectoparasites of large whales (Cetartiodactyla: Balaenopteridae, Physeteridae): Overcoming difficulties in obtaining appropriate samples by non- and minimally-invasive methods
Fig. 1. Non-invasive sampling method. Faecal sample collection from free-ranging whales in the North Atlantic Ocean, Portugal: (A) blue whale (Balaenoptera musculus) defecating, (B) floating blue whale (B. musculus) faeces, (C) telescope fixed net with collected blue whale faeces.
Fig. 5 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 5. Histograms of emergence counts from the time-series emergence traps. Count bars for each day are subdivided by individual trap.
Fig. 4 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 4. Scatterplot showing total body length in mm versus estimated volume of blood and plasma extracted in Ml. The box-and-whisker plots are centered on the mean body length for each of the three juvenile stages. The box edges are placed at the 2nd and 3rd quartiles for volume estimates and the whiskers show extreme minimum and maximum volumes. The mean estimate of extracted volume by juvenile stage is shown as a labeled dashed-red horizontal line. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 1 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 1. Traps used in the first study. (A) Small emergence trap, (B) fish-baited emergence trap, (C) fish-baited tripod, (D) open-mesh fish-baited trap and (E) lighted plankton trap. Note that the sample container holding a small French grunt fish for the fish-baited emergence trap (B) and the fish-baited tripod trap (C) are identical units other than the sealed floats attached to the top of the sample container when used with the fish-baited emergence trap.
Fig. 2 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 2. Traps used in the second study. The lighted plankton trap, in the left foreground, stands on short legs—four large emergence traps can be seen in the middleground to the right of the lighted plankton trap. A second lighted plankton trap in the background can be seen towards the center of the frame.
Fig. 3 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 3. Scatterplots of total body length in mm plotted against eye length in mm along the long axis. The upper plot shows measurements for zuphea and the lower plot for praniza. The body length cutoff values separating juvenile stages are shown as a dotted-green line. Gnathiids collected from emergence traps are seen as gold-filled squares and those collected from light traps are presented as purple-filled triangles. Differences in the ontological sampling bias of these two trap designs can be seen by comparing the two scatterplots. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 6 in Comparison of sampling methodologies and estimation of population parameters for a temporary fish ectoparasite
Fig. 6. Histograms of trap counts by sample day and juvenile stage. The upper histograms show counts from emergence traps and the lower histograms show counts from light traps. Mean count for each histogram is shown as a dashed horizontal line. See text for an explanation of the number of sampling days shown in each plot.
Рис. 1. Схема точек отбора проб на ООПТ в бассейне Амура Fig. 1. Map of sampling points at the protected areas in the Amur River Basin in Molting feathers and eggshells in monitoring rare bird species populations: Evidence from special protected natural territories
Рис. 1. Схема точек отбора проб на ООПТ в бассейне Амура Fig. 1. Map of sampling points at the protected areas in the Amur River Basin
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019) in Variability of the gene cyt b in the Korean field mouse Apodemus peninsulae Thomas, 1906 - a reservoir host of AMRV in the Khasansky District of Primorsky Krai
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019)
Fig. 1 in An unexpected diversity of trypanosomatids in fecal samples of great apes
Fig. 1. Phylogenetic relationships of the detected trypanosomatids. An SSU rRNA-based Bayesian phylogenetic tree of trypanosomatid sequences (∼2 kb) obtained from gorilla and chimpanzee fecal samples collected in the Dja Faunal Reserve in Cameroon representing the most likely two new Herpetomonas species, one unknown Phytomonas species and two most likely new monoxenous trypanosomatid species of unnamed genera. These possible new species are assigned as new Typing Units (TUs) with numbers TU229–233. Bootstrap values from Bayesian posterior probabilities (MrBayes; 5 million generations) and bootstrap percentages for maximum-likelihood analysis (PhyML; 1000 replicates) are shown at the nodes; dashes indicate <50% bootstrap support or different topology; asterisks mark branches with maximal statistical support. The tree was rooted with Paratrypanosoma; the closest relative of the family Trypanosomatidae. Parasite names or names of strains supplemented with their GenBank accession numbers are given; the branch lengths are drawn proportionally to the amount of changes (scale bar).
Fig. 1. Sampling sites within Lots 6 and 7 in Lurking in the dark: Cryptic Strongyloides in a Bornean slow loris
Fig. 1. Sampling sites within Lots 6 and 7 of the Lower Kinabatangan Wildlife Sanctuary, Malaysian Borneo (Nm = Nycticebus menagensis, Pp = Pongo pygmaeus, Mf = Macaca fascicularis, Nl = Nasalis larvatus, Tc = Trachypithecus cristatus, DGFC = Danau Girang Field Centre).
Illuminating the active virosphere with BONCAT and single virus genomic technologies, Mediterranean Sea samples
<p><span>Raw reads (forward and reverse) from sorted and MDA-amplified samples from Mediterranean Sea are supplied here. The sample labels refer to the type of sample (cellular or viral) and all of them belongs to the BONCAT active fraction. Samples that had a click reaction (BONCAT reaction) of 30 minutes or 6 hours are described. In addition, code indicates whether it came from the Mediterranean Sea (MS). <br></span></p> <p><span>CA_G2: active cells; 6 hours click reaction</span></p> <p><span>CA_G5: active cells; 30 minutes click reaction</span></p> <p><span>VA_B2: activate viruses; 30 minutes click reaction</span></p> <p><span>VA_C1: activate viruses; 30 minutes click reaction</span></p> <p><span>VA_C3: activate viruses; 6 hours click reaction</span></p> <p><span><span>MS: Mediterranean Sea samples</span></span></p>
Fig. 3 in Occurrence of sea lice, Caligus undulatus Shen and Li, 1959 (Copepoda: Siphonostomatoida: Caligidae) in plankton samples collected from Korea
Fig. 3. Caligus undulatus, adult female from Gangjin Bay, Korea. A. genital complex and abodomen, ventral. B. leg 1. C. tip of second exopodal segment of leg 1. D. leg 2. E. leg 3. F. first exopodal segment of leg 3. G, H. leg 4. I. leg 5. Scale bars: A = 200 μm; B-E, G = 100 μm; F, H, I = 50 μm.
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.