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Figure 16 Periglischrus paravargasi, protonymph. A in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 16 Periglischrus paravargasi, protonymph. A – General view; B – Dorsal view; C – Ventral view; D – Ventral setae on legs I and II with details; E – Details ventral setae on leg I; F – Details ventral setae on leg II; G – Coxa I withpv anddvsetae, indicated; H – Femur–tibia I with proximal ad setae, indicated; I – Coxa II with posterolateral setapl () indicated; J – Femur II, proximaladandpd setae, indicated; K – Proximal adandpd on tarsus III, indicated; L – Femur IV, proximaladandpd setae, indicated; M – Genu IV, proximaladandpd setae, indicated; N – Proximaladandpd on tarsus IV, indicated. Scale bars: A = 200 µm, B–D = 100 µm, C, E–N = 50 µm.
Figure 2 in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 2 Mitochondrial COI haplotype ultrametric tree inferred in BEAST using strict clock and species delimitation probabilities obtained in bGMYC.
Figure 18 Periglischrus torrealbai, male. A in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 18 Periglischrus torrealbai, male. A – General view; B – Dorsal view with proteronotal setae (Pn1–Pn5) and poststigmal seta (Pst) indicated; C – Ventral view with sternogenital setaeSt(1–St4) and genital seta (Sg) indicated; D – Ventral setae on legs I and II with details; E Details ventral setae on leg I; F – Details ventral setae on leg II; G – Coxa I with pv anddvsetae, indicated in red arrow; H – Femur–tibia I with proximal adsetae, indicated; I – Coxa II with posterolateral setapl () indicated; J – Femur II, proximaladandpdsetae, indicated; K – Proximal adandpd on tarsus III, indicated; L – Femur IV, proximaladandpd setae, indicated; M – Genu IV, proximaladandpd setae, indicated; N – Proximal adandpd on tarsus IV, indicated. Scale bars: A = 200 µm, B–D =100 µm, E–N = 50 µm.
Figure 11 Periglischrus iheringi, female. A in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 11 Periglischrus iheringi, female. A – General view; B – Mediodistal lobe of palpal tibia indicated in red arrow; C – Dorsal plate with proteronotal setae (Pn1–Pn5) and poststigmal seta (Pst) indicated; D – Dorsal opisthosoma with hysteronotal setae (Op3–Op6) indicated in red arrow; E and F – Sternal plate with sternal setae (St1–St4); G – Proximal anterodorsal (ad) seta on femur–tibia I; H – Distal posteroventral (pv)
Figure 14 Periglischrus paravargasi, female. A in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 14 Periglischrus paravargasi, female. A – General view; B – Mediodistal lobe of palpal tibia indicated in red arrow; C – Dorsal plate with proteronotal setae (Pn1–Pn5) and poststigmal seta (Pst) indicated; D – Dorsal opisthosoma with hysteronotal setae (Op1–Op6) indicated
Figure 15 Periglischrus paravargasi, male. A in DNA barcoding, visual-guide resource, new localities and host associations of genus Periglischrus Oudemans, 1902 (Acari: Mesostigmata, Spinturnicidae) from Minas Gerais, Brazil
Figure 15 Periglischrus paravargasi, male. A – General view; B – Dorsal view with proteronotal setae (Pn1–Pn5) and poststigmal seta (Pst) indicated; C – Ventral view with sternogenital setaeSt(1–St4) and genital seta (Sg) indicated; D – Ventral setae on legs I and II with details; E Details ventral setae on leg I; F – Details ventral setae on leg II; G – Coxa I with pv anddvsetae, indicated in red arrow; H – Femur–tibia I with proximal adsetae, indicated; I – Coxa II with posterolateral setapl () indicated; J – Femur II, proximaladandpdsetae, indicated; K – Proximal adandpd on tarsus III, indicated; L – Femur IV, proximaladandpd setae, indicated; M – Genu IV, proximaladandpd setae, indicated; N – proximal adandpd on tarsus IV, indicated. Scale bars: A = 200 µm, B–D and H = 100 µm, E–G, I–N = 50 µm.
Empty plots layer screenshot of the Kunbaja online resource
<p>Secondary information layer "empty plots" of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>
Magyar plots layer screenshot of the Kunbaja online resource with Ungar plots highlighted
<p>Secondary information layer "magyar plots" of the Kunbaja online resource model built in QGIS as screenhots in the .png file format with Ungar plots highlighted</p>
Female plots layer screenshot of the Kunbaja online resource
<p>Secondary information layer "female plots" of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>
Fig. 4 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 4. (A) Primary sequence alignment was obtained with reference sequences already available in Gen Bank. Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. (B). Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. The tree was generated in CLC Main Workbench version 6.6.2 using 1000 bootstrap replications. Branch length is proportional to the calculated genetic distance (scale shown).
Fig. 3 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 3. To confirm the incidence of Naegleria populations in water and soil samples, DNA were extracted from amoebae retrieved from NNA plates with 2 weeks time and utilized for PCR examination as demonstrated in methods section. PCR products were obtained in all DNA samples verifying the existence of Naegleria. Lane 1: 250 bp DNA ladder; Lane 2: RAW STW4; Lane 3: RAW LW1; Lane 4: RAW PW8; Lane 5: RAW DS1; Lane 6: RAW STW7; Lane 7: RAW TW3; Lane 8: RAW DS2; Lane 9: RAW DS3; Lane 10: RAW DS4; Lane 11: RAW DS5; Lane 12: RAW DS6; Lane 13: RAW DS7; Lane 14: RAW DS8; Lane 15: RAW DS9; Lane 16: RAW DS10; Lane 17: +ve control; Lane 18: -ve control.
Fig. 2 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 2. Naegleria cysts detection on NNA under inverted microscope (×400). Water and soil samples were filtered and pored respectively and inoculated on NNA plate seeded with E. coli as demonstrated in methods section. Plates were monitored for amoebic outgrowth up to two weeks, and images were taken. Only representative samples of water (a) RAW STW7 and soil (b) RAW DS7 are shown here.
Figure 5 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 5: Different views of macroalgal blooms on German Baltic Sea coasts. (A) Beach wrack dominated by Ceramium virgatum, Hohwacht, 16.8.2012 (Photo © F. Weinberger). (B) Mat of Pylaiella littoralis covering a meadow of eelgrass, Mönckeberg, 15.5.2013 (Photo © C. Lieberum). (C) Beach wrack dominated by Cladophora sp., Stein, 12.4.2014 (Photo © M. Hammann). (D) Beach wrack composed of various red algae and eelgrass, Neukirchen, 30.4.2012 (Photo © F. Weinberger).
Figure 4 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 4: Interannual variation (2006–2017) of the share of Furcellaria lumbricalis and Coccotylus truncatus in the loose-lying red algal community biomass (BM) in the Kassari Bay, West Estonian Archipelago Sea. Compiled results of annual monitorings 2006–2017; database of the Estonian Marine Institute.
Figure 1 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 1: Types of coastlines, annual average sea surface salinities, and species numbers of algal macrophytes that have been recorded in different sea areas of the Baltic Sea and the German and Danish North Sea. Modified from Rönnbäck et al. (2007); species numbers are from HELCOM (2012) for the Baltic Sea and from Schories et al. (2009a,b) for the North Sea.
Figure 2 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 2: Loose-lying Furcellaria lumbricalis-Coccotylus truncatus community in the Kassari Bay, West Estonian Archipelago Sea (Photo: K. Kaljurand).
Figure 3 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 3: Interannual variation (1980–2017) of the total community biomass (BM), the total Furcellaria lumbricalis biomass and the area of the loose-lying red algal community in the Kassari Bay, West Estonian Archipelago Sea. Data after Martin et al. (2006a), updated with data of the Estonian Marine Institute on annual monitorings 2003–2017.
Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972).
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977].
Reference Sequence Library Resources - Maine-eDNA
<p>The following files and resources are associated with the Maine-eDNA Reference Library Research Group - aiming to create reference sequence library resources for researchers part of Maine-eDNA or otherwise interested in leveraging eDNA tools for research in the Gulf of Maine.</p> <p>These include:</p> <ul> <li> <p>RoughWorkflow.zip</p> </li> <ul> <li> <p>contains a NCBI scraping script to build reference databases based on an input species list, a configuration file for the script, and genbankr version - most useful for shorter species lists (time-intensive)</p> </li> </ul> <li> <p>12S_REFDB.fasta</p> </li> <ul> <li> <p>A DADA2-compliant reference library for 12S sequences, built with the RoughWorkflow based on the GNRMaineSpecies_May2024 species list</p> </li> </ul> <li> <p>COI_REFDB.fasta</p> </li> <ul> <li> <p>A DADA2-compliant reference library for COI sequences, built with the RoughWorkflow based on the GNRMaineSpecies_May2024 species list</p> </li> </ul> <li> <p>GitHub Repo - referee - <a href="https://github.com/BigelowLab/referee">https://github.com/BigelowLab/referee</a></p> </li> <ul> <li> <p>Scripts for building reference databases for the Maine-eDNA project through downloading GenBank - this workflow is suggested especially for large species lists</p> </li> </ul> <li> <p>GitHub Repo - refdbtools - <a href="https://github.com/BigelowLab/refdbtools">https://github.com/BigelowLab/refdbtools</a> </p> </li> <ul> <li> <p>R language package to assist in making eDNA reference databases</p> </li> </ul> <li> <p>SpeciesListMeta_Shareable.xlsx</p> </li> <ul> <li> <p>Describes the sources from which the GNRMaineSpecies_May2024.csv and GNRMaineTaxonomiedSpecies_May2024.csv species lists were compiled - sources not associated with a link were found as separate files and are hosted elsewhere. Species list sources are courtesy of public datasets, Maine-eDNA researchers, and collaborators</p> </li> </ul> <li> <p>GNRMaineSpecies_May2024.csv</p> </li> <ul> <li> <p>A Maine (and surrounding area) species list ran through taxize’s gnr_resolve to resolve species names and fill out taxonomy (full results)</p> </li> </ul> <li> <p>GNRMaineTaxonomiedSpecies_May2024.csv</p> </li> <ul> <li> <p>A Maine (and surrounding area) species list ran through taxize’s gnr_resolve to resolve species names and fill out taxonomy (only species results that could be resolved with taxonomy)</p> </li> </ul> </ul> <p> </p> <p>Contact Beth Y. Davis - bethy.davis4@gmail.com for questions</p> <p> </p> <p>###</p> <p>Changelog:</p> <p>May 16, 2023 (Version 1.0) - Initial upload</p> <p>July 11, 2023 (Version 1.1) - Did additional cleaning to the MaineSpeciesList_Clean file and uploaded the new version - July2023_SpeciesList</p> <p>May 20, 2024 (Version v3) - Additional cleaning to correct deduplication errors and ran taxize's gnr_resolve to resolve names and fill out taxonomy. The version update adds two files, GNRMaineSpecies_May2024.csv containing the full result of gnr_resolve, and GNRMaineTaxonomiedSpecies_May2024.csv contains only those species from the original list that could be resolved with taxonomy. The SpeciesListMeta_Shareable.csv has not been updated but is still an accurate tracker of the sources from which the species names were gained from.</p> <p>November 27, 2024 (Version 4.0) - Updated Zenodo description and added the RoughWorkflow R files, 12S and COI files</p>
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.