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Fig. 8 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea

Fig. 8: A) Bacillariophyceae, and B) Prymnesiophyceae cell number map (x 103 cells l-1) overlapped to isohalines (bold lines) as in Fig. 4.

Fig. 4 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea

Fig. 4: Seawater inorganic nitrogen concentration (nitrates + nitrites, μM) overlapped to the 37.0 and 37.5-isohaline (bold lines).

Fig. 3 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea

Fig. 3: SeaWiFS map of surface chlorophyll a distribution in the Western Mediterranean Sea at the time of sampling: the circle encloses the cyclonic eddy. Data are integrated on 8 days (8th-15th October 2006), web source: http://reason.gsfc.nasa.gov/Giovanni.

Fig. 1 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea

Fig. 1: Map showing the sampling locations in the Western Mediterranean Sea. Full symbols indicate the stations extensively analysed in the present study: M15-M19 and A1-A6. The window on top shows typical patterns of circulation of Modified Atlantic Water (MAW) in the Western Mediterranean Sea: continuous lines indicate steady paths and dashed lines outline the mesoscale currents throughout the year (modified from Millot, 1999).

opencc-by-4.0Jun 2024View details →

Machine learning and bioinformatics analysis of diagnostic biomarkers associated with the occurrence and development of lung adenocarcinoma

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Fig. 6 in Occurrence Of Dactylogyrus Infection Linked To Seasonal Changes And Host Fish Size On Four Cyprinid Fishes In Lake Manyas, Turkey

Fig. 6. Prevalence (broken line) (❍: D. cornu, ∆: D. difformis) and mean intensity (solid line) of the parasite species (●: D. cornu, ▲: D. difformis) on Vimba vimba and Scardinius erythrophthalmus in

Fig. 3 in Occurrence Of Dactylogyrus Infection Linked To Seasonal Changes And Host Fish Size On Four Cyprinid Fishes In Lake Manyas, Turkey

Fig. 3. Prevalence (broken line) and mean intensity (solid line) of D. crucifer on R. rutilus in Lake Manyas over two years

Fig. 2 in Occurrence Of Dactylogyrus Infection Linked To Seasonal Changes And Host Fish Size On Four Cyprinid Fishes In Lake Manyas, Turkey

Fig. 2. Prevalence (broken line) and mean intensity (solid line) of D. sphyrna on B. bjoerkna in Lake Manyas over two years, and the water temperature (*) of the Lake during the study period (surface)

Fig. 5 in Occurrence Of Dactylogyrus Infection Linked To Seasonal Changes And Host Fish Size On Four Cyprinid Fishes In Lake Manyas, Turkey

Fig. 5. Prevalence (broken line) (❍: D. sphyrna, ∆: D. crucifer) and mean intensity (solid line) of the parasite species (●: D. sphyrna, ▲: D. crucifer) on Blicca bjoerkna and Rutilus rutilus in relation to

Fig. 4 in Occurrence Of Dactylogyrus Infection Linked To Seasonal Changes And Host Fish Size On Four Cyprinid Fishes In Lake Manyas, Turkey

Fig. 4. Prevalence (broken line) (❍: D. cornu, ∆: D. difformis) and mean intensity (solid line) of the parasite species (●: D. cornu, ▲: D. difformis) on Vimba vimba and Scardinius erythropthalmus in Lake Manyas over two years

opencc-by-4.0May 2008View details →

Fig. 1 in Occurrence Of A New Ponto-Caspian Invasive Species, Cordylophora Caspia (Pallas, 1771) (Hydrozoa: Clavidae) In Lake Balaton (Hungary)

Fig. 1. Localization of sampling stations in Hungary, in Lake Balaton and around Tihany-peninsula. • Stations where C. caspia were found. 1 = Dunaföldvár, 2 = Paks, 3 = Mohács, 4 = Tihany, 5 = Balatonalmádi, 6 = Szabadi-Sóstó, 7 = Szántód, 8 = Fonyód, 9 = Keszthely, 10 = Szigliget, 11 = Badacsony. Around Tihany peninsula a = Sajkód, b = Tihany-ferry, c = in front of Balaton Limnological Research Institute, d = Gödrös. Scale: 10 km for Lake Balaton

opencc-by-4.0May 2008View details →

Fig. 2 in Occurrence Of A New Ponto-Caspian Invasive Species, Cordylophora Caspia (Pallas, 1771) (Hydrozoa: Clavidae) In Lake Balaton (Hungary)

Fig. 2. Result of cluster analysis of all measured and calculated parameters. F = Fonyód, K = Keszthely, Sz = Szántód, T = Tihany, Tf = Tihany, ferry; J = June, S = September

opencc-by-4.0Jun 2024View details →

DIETxPOSOME: a FAIR database detailing food contaminants occurrence in selected foods

The DIETxPOSOME FAIR database provides detailed quantification of 73 contaminants, including 4 heavy metals, 18 polycyclic aromatic hydrocarbons (PAHs), 10 pesticides, 29 mycotoxins, and 12 heterocyclic aromatic amines (HAAs), in 16 food items across various food groups (cereals, vegetables, fruits, starchy roots, dairy products, nuts, meat, eggs, fish, legumes and vegetable oils). Data was obtained through a combination of literature extraction protocols and machine learning. A list of pertinent research articles on food contaminants in globally significant food items was sourced from PubMed. Machine learning enabled the automatic filtering of these papers (<a href="../records/7826130">https://zenodo.org/records/7826130</a>), which were subjected to a manual evaluation. Subsequently, specific foods (wheat, maize, beef, cheese, pasta, potatoes, carrots, rice, bread, chicken eggs, peanuts, beans, cabbage, apple, olive oil, and salmon) were selected based on their comprehensive contaminant profiles. Information was extracted from 145 relevant articles of the 151 research articles pertaining to the selected food items. Following extraction, the data was confirmed and evaluated by three reviewers, adhering to stringent criteria.  The food items in the DIETxPOSOME FAIR database can be integrated into complex dietary patterns in an experimental context, for example, aligned with the EAT-Lancet Commission Reference Diet for Healthy and Sustainable Food Systems. This framework allows the simulation of real-world dietary exposure or worst-case scenarios, facilitating comprehensive risk assessment of unavoidable food contaminants.

opencc-by-4.0Dec 2018View details →

Figure 6. The occurrence with data from subset 1 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 6. The occurrence with data from subset 1 (A) and subset 3 (B). The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.

opencc-by-4.0Dec 2015View details →

Fig. 2 in Occurrence of pathogens in populations of Ips typographus, Ips sexdentatus (Coleoptera, Curculionidae, Scolytinae) and Hylobius spp. (Coleoptera, Curculionidae, Curculioninae) from Austria, Poland and France

Fig. 2. Pathogens in I. typographus from different bio-geographic regions in Europe: n Northern continental – Baltic, o North-eastern Alps (transitional Atlantic – continental), p South-eastern Alps (transitional Alpine – Illyric), Q Western Alps and R Atlantic.

opencc-by-4.0Dec 2017View details →

Fig. 1 in Distribution and Occurrence of the Neogregarine Pathogen, Ophryocystis anatoliensis (Apicomplexa) in Populations of Chrysomela populi L. (Coleoptera: Chrysomelidae)

Fig. 1. Infected (bold) and non-infected localities where Crysomela populi adults and larvae were collected in Turkey.

opencc-by-4.0Dec 2017View details →

Fig. 2 in Distribution and Occurrence of the Neogregarine Pathogen, Ophryocystis anatoliensis (Apicomplexa) in Populations of Chrysomela populi L. (Coleoptera: Chrysomelidae)

Fig. 2. Ophryocystis anatoliensis infection levels in C. populi populations in Turkey during the three years.

opencc-by-4.0Dec 2017View details →

Fig. 1 in Occurrence Of Phytophthora Spp. In Deciduous Trees In Lithuania: First Results

Fig. 1. The number of Phytophthora spp. disturbed trees in different districts and climate regions of Lithuania, 2010–2014. I – Western, II – Northern, III – Southern, and IV – Eastern. The white colour indicates the districts, which were not surveyed.

opencc-by-4.0Mar 2015View details →

FIGURE 8 in On the occurrence of Holochilus chacarius (Cricetidae: Sigmodontinae) in Brazil, with taxonomic notes on Holochilus species

FIGURE 8: Map of the specimens of Holochilus spp. studied. Numbered points correspond to museums records of H. brasiliensis (black circles), H. chacarius (black triangles) and H. sciureus (black squares) listed in the gazetter (see Appendix II). The box A shows in details the museum records of the specimens from southeastern Brazil. The shades of gray are the geographic distribution of the Holochillus spp. suggested by the IUCN Red List (2013).?: Records from literature (Bezerra et al. 2009, Rocha et al., 2011a, b) analyzed in the present work only by photos of skin.