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FIGURE 3 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)
FIGURE 3: Phenotypic variation of Pristimantis penelopus across its distribution. Localitites are shown in Appendix 1.
FIGURE 3. Trackway block samples after 3 in Towards sustainable treatments to preserve fossils from weathering, as part of the garden redevelopment project at the Natural History Museum
FIGURE 3. Trackway block samples after 3 treatments with CaLoSiL® E25 (no TiO2) at x10000 magnification, top left: ornithopod trackway before treatment; bottom left: ornithopod trackway after treatment; top right: theropod trackway before treatment; bottom right: theropod trackway after treatment. EHT 6.00kV, Signal A SE2, WD 8.1 mm, Magnification 10000 x.
Figure 10. – Plankton sampling aboard the R in French research on fisheries in the Northwest Atlantic, from its origins to the present
Figure 10. – Plankton sampling aboard the R/V Cryos in 1975 to study herring pre-recruitment on George's Bank as part of an ICNAF project (Photo A. Forest).
Figure 1 in Needlepoint non-destructive internal tissue sampling for precious fish specimens
Figure 1. – Non-destructive tissue sampling. A: (from top to bottom) dental probe, 1 mL insulin syringe MYJECTOR ® U-100 and specimen 19058 (standard length: 141.1 mm), male Oostethus manadensis; B: View of the brooding pouch and eggs of specimen 14964 (standard length: 113.23 mm), Coelonotus argulus, male; missing eggs correspond to the sample for DNA extraction; C: Scratching the inside via the urogenital papilla with the dental probe; D: Internal tissue sampling using the syringe via the urogenital papilla; E: State of urogenital papilla before sampling; F: State of urogenital papilla after sampling. Photos B to F are ventral views of the specimens; the arrow in B gives the orientation of the specimen in photos A, B; the arrow is C gives the orientation of the specimen in photos C-F.
Figure 1. Sampling stations A and B in Paf+SU: Deposit Limit in Registration
Figure 1. Sampling stations A and B located at Western part of the Ria Formosa lagoon (Southern Portugal).
Figure 1 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 1. Individual-based rarefaction/extrapolation sampling curves representing ant (A) and spider (B) sampling size collected by both active and passive sampling strategies used at Buffelsdraai Conservancy [AHC = aerial hand collection above the knee; AHCCRYPTIC = aerial hand collection below the knee cryptic; AHCOBV = aerial hand collection below the knee noticeable or non-cryptic; BB = vegetation beating].
Figure 4 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 4. Non-metric Multi-Dimensional Scaling (NMDS) representing the similarity of ant (A) and spider (B) species sampled by active and passive sampling techniques. The count abundance was transformed using square root and the data was analysed using Bray-Curtis similarity to produce a two-dimensional plot with a stress level = 0.07 and = 0.01, respectively [AHC CRYPTIC = aerial hand collection below the knee cryptic; AHC OBV = aerial hand collection below the knee noticeable or non-cryptic; AHC = aerial hand collection above the knee; BB = vegetation beating].
Figure 3 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 3. Spider species richness collected using active and passive sampling techniques in Buffelsdraai Conservancy [AHC = aerial hand collection above the knee; AHC CRYPTIC = aerial hand collection below the knee cryptic; AHC OBV = aerial hand collection below the knee noticeable or non-cryptic; BB = vegetation beating].
Figure 3. Chromatogram from the sample fairs MAC 02 and ARA 0 in Detection of enteropathogens and research of pesticide residues in Lactuca sativa from traditional and agroecological fairs
Figure 3. Chromatogram from the sample fairs MAC 02 and ARA 0, with the peaks of Diphenoconazole compared with the pattern.
A compilation of beryllium-isotope, element, and grainsize data from sediments sampled from Prydz Bay and beneath Amery Ice Shelf, East Antarctica
<p>All tables are included in a single .xlsx file across three sheets. Each sheet includes sample information data: expedition and sample location information, reference to corresponding method section in text, and a reference to the source of the method employed for different procedures, or the reference to source data. Footnotes are used where necessary to explain a component of a table.</p> <p><strong>Supplementary Table 1:</strong> All beryllium data used for Sequential, Grainsize, Partial, and Total experiments described in text. 10Be concentration and corresponding 1-sigma (10^8 at/g), 9Be concentration and corresponding 1-sigma (10^15 at/g), and the 10Be/9Be ratio and corresponding 1-sigma (10^-8 at/at).</p> <p><strong>Supplementary Table 2: </strong>Element concentrations (µg/g) from samples across open marine and sub-ice shelf environments and their resultant enrichment factors (EF). Enrichment factors calculated using in text Equation 1. Estimated crustal abundance and ratio displayed below the data table.</p> <p><strong>Supplementary Table 3: </strong> Grainsize of samples used in this study. </p> <p> </p> <p>This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008).</p>
Measurements of Methanethiol (MeSH) and dimethyl sulfide (DMS) in surface seawater during 2022 at the monthly sampling observatory of Blanes Bay Microbial Observatory.
<p><span>Global emissions of methanethiol are highly uncertain and the drivers influencing its seawater concentrations are quasi unexplored. Here we try to address this gap in our understanding by contributing new seasonally resolved seawater measurements. Mediterranean surface seawater sampling at the Blanes Bay Microbial Observatory was carried out monthly during 2022. January, March and April were not sampled due to technical difficulties. Seawater was hand-collected in glass sampling bottles around 11:00 am each day. The samples were kept in the dark and analysed at the ICM-CSIC for MeSH and DMS with the Vocus-PTR coupled to SFCE within 3 h of sample collection. This dataset contains MeSH and DMS surface seawater concentrations and relevant auxiliary data (chlorophyll a, sea surface temperature and sea surface salinity). Sea surface temperature and salinity were determined using a CTD profiler Model SD204 (SAIV A/S). The chlorophyll from the Blanes 2022 timeseries was measured on a fluorometer (10AU Turner fluorometer).</span></p> <p><span>Details on the measurement methodology can be found here:</span></p> <p><span>Wohl, C.; Güell-Bujons, Q.; Castillo, Y.M.; Calbet, A.; Simó, R. Volatile Organic Compounds Released by Oxyrrhis marina Grazing on Isochrysis galbana. Oceans 2023, 4, 151-169. https://doi.org/10.3390/oceans4020011</span></p> <p><span> </span></p> <p><span>Definitions of acronyms, site abbreviations, or other project-specific designations:</span></p> <p><span>Lat=latitude (negative indicates south)</span></p> <p><span>Lon=longitude (negative indicates west )</span></p> <p><span>Hourlybin = The mean measured concentration during each hour is shown, 30 min either side of the listed time. The timestamp indicates sampling time in UTC, expressed as DD/MM/YYYY HH:MM</span></p> <p><span>MeSH_nM= methanethiol surface seawater concentration in nM, defined as nmol dm^(-3)</span></p> <p><span>DMS_nM= dimethyl sulfide surface seawater concentration in nM, defined as nmol dm^(-3)</span></p> <p><span>fluo = chlorophyll a concentration in mg m^(-3)</span></p> <p><span>SST= sea surface temperature in degrees Celsius </span></p> <p><span>SSS= sea surface salinity in practical salinity units (PSU)</span></p>
Fig. 6 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 6 Map of sampling sit_s of Paramecium biaurelia strains coll_ct_d during fi_ld r_s_arch in th_ Kraków ar_a. a Kraków, "At th_ brickyard" pond, 1 sampling point. b Kraków, Zaczarowana Dorożka Park (pond), 2 sampling points. c Pi_skowa Skała (pond), 1 sampling point. d Kraków,
Fig. 5 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 5 Haplotyp_ n_twork of Paramecium biaurelia construct_d using th_ 123 s_qu_nc_s of ribosomal ITS1- 5.8S-ITS2-5'LSU fragm_nts (a) and 139 of mitochondrial COI fragm_nts (b). Th_ n_twork pr_s_nts a comparison of haplotyp_s obtain_d in th_ Kraków ar_a vs. th_ oth_r localiti_s, wh_r_ mol_cular data for P. biaurelia is availabl_. Black dash_s on particular branch_s r_pr_s_nt nucl_otid_ substitutions b_tw__n particular haplotyp_s. Analys_s w_r_ conduct_d using th_ M_dian Joining m_thod in PopART softwar_ v. 1.7
Fig. 4 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 4 Haplotyp_ n_twork of Paramecium biaurelia construct_d using th_ 123 s_qu_nc_s of ribosomal ITS1- 5.8S-ITS2-5'LSU fragm_nts (a) and 139 of mitochondrial COI fragm_nts (b). Th_ n_twork pr_s_nts r_ciprocal r_lationships b_tw__n, and th_ origin of P. biaurelia haplotyp_s id_ntifi_d in curr_nt study. Black dash_s on particular branch_s r_pr_s_nt nucl_otid_ substitutions b_tw__n particular haplotyp_s. Analys_s w_r_ conduct_d using th_ M_dian Joining m_thod in PopART softwar_ v. 1.7
FIG. 26 in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 26. — Proportion of triphorid species sampled by MADIBENTHOS, according to depth zones and total number of shells/specimens (n).
FIG. 23. — A in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 23. — A, Geographic range of triphorids from Martinique, whether endemic vs present in other sites in Lesser Antilles or beyond in the Northwest or West Atlantic; B, total shallow-water triphorids recorded in each well-sampled locality, including the number of shared species with Martinique; references from Brazil are those of M. Fernandes and colleagues, from Cuba those of E. Rolán (or J. Espinosa) and colleagues, from Aruba, Bonaire and Curaçao (ABC Is.) are De Jong & Coomans (1988), Moolenbeek & Faber (1989), Faber & Moolenbeek (1991) and Faber (2010), and Redfern (2013) from Abaco, Bahamas; C, number of triphorid species per geographic zone; D, number of triphorid species per Caribbean or Atlantic side in Martinique; E, F, nMDS of geographic and bathymetric zones regarding triphorid species, based on Bray-Curtis (E) and Jaccard (F) indexes: dark green, Nord Atlantique; light green, Sud Atlantique; dark blue, Nord Caraibe; light blue, Sud Caraibe; red, Baie de Fort-de-France; dots, 0-10 m; squares, 11-20 m; triangles, 21-30 m; X, 31-60 m; + - 61-85 m.
FIG. 21. — A in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 21. — A, Individual rarefaction curve of triphorids from MADIBENTHOS; blue curves indicate the 95% confidence interval; B, abundance distribution of triphorids from MADIBENTHOS; C, D, number of species vs number of shells (C) or number of stations (D), regarding planktotrophic (black bars) and nonplanktotrophic (grey bars) species.
FIG. 20 in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 20. — Live triphorids from Martinique and Guadeloupe (marked with asterisk): A-D, Nototriphora decorata (C.B. Adams, 1850), MNHN, sta. GR10 (A), AS253 (B), AB382 (C), AB161 (D); E, F, Sagenotriphora osclausum (Rolán & Fernández-Garcés, 1995), MNHN, sta. AB191; G, H, Triphora ellyae De Jong & Coomans, 1988, MNHN, sta. AB308; I, J, Marshallora monteiroi (Rolán & Fernández-Garcés, 2015) n. comb., MNHN, sta. AD283 (I), GD21 (J). Credits: MNHN team.
FIG. 19 in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 19. — Live triphorids from Martinique and Guadeloupe (marked with asterisk): A, B, Metaxia taeniolata (Dall, 1889), MNHN, sta. AD261; C-F, Monophorus olivaceus (Dall, 1889), MNHN, sta. GD21 (C), AB185 (D), AR461 (E, F); G, H, Nanaphora leei Fernandes & Pimenta, 2015, MNHN, sta. AB400 (G), AB419 (H); I, Nanaphora cf. verbernei (Moolenbeek & Faber, 1989), MNHN, sta. AB149. Credits: MNHN team.
FIG. 24. — A in Triphoridae (Gastropoda) from Martinique sampled by the MADIBENTHOS expedition, with notes on shallow-water species from Guadeloupe
FIG. 24. — A, hyper-diverse stations of Triphoridae from MADIBENTHOS, containing more than six species; B-F, maps of geographic distribution of selected species. All maps obtained from Google Earth.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.