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1,473 results for “Geographic distribution”

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zenodo28/100

Figure 7 from: Martins RS, Juanicó M (2018) Biology, distribution and geographic variation of loliginid squids (Mollusca: Cephalopoda) off southwestern Atlantic. Zoologia 35: 1-16. https://doi.org/10.3897/zoologia.35.e23176

Figure 7 Size structure of Doryteuthissanpaulensis according to the subareas nested within the Rio Grande do Sul coast (29–33.7°S). Note de different y-axis.

opencc-by-4.0Oct 2018View details →
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Figure 6 from: Martins RS, Juanicó M (2018) Biology, distribution and geographic variation of loliginid squids (Mollusca: Cephalopoda) off southwestern Atlantic. Zoologia 35: 1-16. https://doi.org/10.3897/zoologia.35.e23176

Figure 6 Size structure of Doryteuthissanpaulensis according to the subareas nested within the SBB (22–29°S). Note de different y-axis.

opencc-by-4.0Oct 2018View details →
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Figure 14 from: Martins RS, Juanicó M (2018) Biology, distribution and geographic variation of loliginid squids (Mollusca: Cephalopoda) off southwestern Atlantic. Zoologia 35: 1-16. https://doi.org/10.3897/zoologia.35.e23176

Figure 14 Stomach fullness frequency of Doryteuthispleii collected during FAUNEC surveys per period of the day. Black bars: empty stomachs, grey bars: 50% full stomachs, white bars: 100% or distended stomachs.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Figure 1 from: Martins RS, Juanicó M (2018) Biology, distribution and geographic variation of loliginid squids (Mollusca: Cephalopoda) off southwestern Atlantic. Zoologia 35: 1-16. https://doi.org/10.3897/zoologia.35.e23176

Figure 1 Study area, showing the areas and sites from where squid samples were obtained, also including the subareas used for the geographic differentiation in Doryteuthissanpaulensis and D.pleii plus the shared area of co-occurrence of both species. The relative position of the study area on the South American Atlantic coast is boxed. RJ: Rio de Janeiro, SP: São Paulo, SC: Santa Catarina, RS: Rio Grande do Sul, Uy: Uruguay, MP: Mar del Plata. Subarea A: Cabo Frio (23°S) – Paranaguá (26°S), Subarea B: Paranaguá (26°S) – Santa Catarina Island (28°S). Latitudes and longitudes are decimal transformed. The 200 m isobath is showed (dashed line).

opencc-by-4.0Oct 2018View details →
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Figure 12 from: Martins RS, Juanicó M (2018) Biology, distribution and geographic variation of loliginid squids (Mollusca: Cephalopoda) off southwestern Atlantic. Zoologia 35: 1-16. https://doi.org/10.3897/zoologia.35.e23176

Figure 12 Total number and catch rates of Doryteuthissanpaulensis and D.pleii collected in different temperatures and salinities during FAUNEC surveys off southern Brazil. Both metrics were calculated for stations where at least one of the two species was present. Bars: number of squid. Circles: squid per haul. Crosshatched bars and empty circles: D.sanpaulensis. Black bars and dark grey circles: D.pleii.

opencc-by-4.0Oct 2018View details →
zenodo28/100

Dataset on: Incidence and geographical distribution of cereal cyst nematode (CCN, Heterodera spp.) in winter wheat fields in Algeria

<p>Cereal cyst nematodes (CCN, <em>Heterodera</em> spp.) are the most damaging plant-parasitic nematode species on wheat, causing severe economic loss in global wheat production. In summer 2015, we analyzed samples collected from 22 wheat fields in Algeria using the Fenwick can technique. The study revealed that 54.55 % of wheat fields were infested with cereal cyst nematodes. The species was observed in several locations in the northern part of Algeria but not in the southern desert area. Population densities of CCNs in soil varied between the regions at an infestation rate of between 0.6 &plusmn; 0.54 and 86.6 &plusmn; 19.96 cysts per 500 g of dried soil. Furthermore, we found an average of 56.33&plusmn;15.18 and 364.70 &plusmn; 81.93 second-stage juveniles and eggs/cyst. The infestation was most severe in cereal fields in Draa Semar and Djendel with 86.6 &plusmn; 19.96 cyst/500g of soil and 57.4&plusmn;17.55 cysts/500g of soil, respectively. Infestation was lowest in fields in Ras Elouad, Sidi Mbarek and Sedraia with 0.6 &plusmn; 0.54 cysts/500g of soil; 1.6 &plusmn; 1.67 cysts/500g of soil and 2.4 &plusmn; 1.67 cysts/500g of soil, respectively. <em>Heterodera</em> spp. was distributed throughout the cereal growing province in Algeria and could cause economic loss in these regions.</p>

opencc-by-4.0Dec 2017View details →
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Supplementary material 2 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

: Data type: image

opencc-zeroJun 2019View details →
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Figures 8-10 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

Figures 8-10 Chrysoteuchiacurvicavus Song &amp; Chen 8 head in lateral view, male 9 adult, male 10 male genitalia.

opencc-by-4.0Jun 2019View details →
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Figures 3-7 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

Figures 3-7 Chrysoteuchialandryi sp. nov. 3–6 holotype, male 7 paratype, female 3 head in lateral view 4 head in dorsal view 5 adult 6 male genitalia 7 female genitalia.

opencc-by-4.0Jun 2019View details →
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Figure 1 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

Figure 1 Potential distribution of Chrysoteuchia in China. Histograms show the contribution in percentage of the important variables affecting the distribution patterns. The rainbow bar indicates logistic values of potential habitats.

opencc-by-4.0Jun 2019View details →
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Supplementary material 1 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

: Data type: species data

opencc-zeroJun 2019View details →
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Figure 2 from: Jie L-L, Yang J-B, Li W-C (2019) The geographical distribution patterns of Chrysoteuchia Hübner in China and description of a new species (Lepidoptera, Crambidae). ZooKeys 853: 109-118. https://doi.org/10.3897/zookeys.853.34149

Figure 2 Geographical distribution of Chrysoteuchia in China and precipitation of the warmest quarter (Bio18). White circles indicate surveyed sites and number of species per site. Green bars show the known numbers of species at every 5° between 20°N and 55°N.

opencc-by-4.0Jun 2019View details →
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Figure 4 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

Figure 4 Metabolism of glucosinolates in Psylliodeschrysocephala and Phyllotretastriolata. Upon herbivory, glucosinolates are usually hydrolysed by the plant enzyme myrosinase to an unstable aglucone, which spontaneously rearranges to a toxic isothiocyanate. In the presence of plant specifier proteins, other hydrolysis products such as thiocyanates and nitriles are formed. Both flea beetle species sequester glucosinolates in their bodies, suggesting that not all glucosinolates are hydrolysed in feeding-damaged plant tissue. Sequestered glucosinolates may be activated for defensive purposes by an insect myrosinase in Ph.striolata, but not in Ps.chrysocephala. In addition, Ps.chrysocephala partially detoxifies glucosinolates by desulfation, whereas no glucosinolate sulfatase activity was found in Ph.striolata. According to a quantitative feeding study performed with Ps.chrysocephala, most ingested glucosinolates are activated, and isothiocyanates are detoxified by conjugation to glutathione. The isothiocyanate-glutathione conjugate is metabolized via the mercapturic acid pathway to several cyclic metabolites in Ps.chrysocephala adults (Beran et al. 2018). Examples of three structurally different glucosinolate side-chains are shown in the box. Beetle photos: Anna Schroll.

opencc-by-4.0Jun 2019View details →
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Supplementary material 1 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

: Data type: (Species, host plants, diet breadth, geographic distribution)

opencc-zeroJun 2019View details →
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Figure 3 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

Figure 3 Distribution of 242 Phyllotreta species in the different zoogeographical regions (A), and host plant associations of all species (As) and endemic species (Es) for each zoogeographical region (B). For detailed information, refer to Suppl. material 3.

opencc-by-4.0Jun 2019View details →
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Figure 2 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

Figure 2 Distribution of 207 Psylliodes species in the different zoogeographical regions (A), and host plant associations of all species (As) and endemic species (Es) for each zoogeographical region (B). For detailed information, refer to Suppl. material 1.

opencc-by-4.0Jun 2019View details →
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Figure 1 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

Figure 1 Host plant associations of the genera Psylliodes (A) and Phyllotreta (B). The host plants of 107 Psylliodes species and 117 Phyllotreta species have been reported in the literature. The numbers of species which feed on plants in one plant family (monophagous and oligophagous), and the number of polyphagous species are given as percentages. 18% of the Phyllotreta species feed on more than one family in the order Brassicales (Brassic., Brassicaceae; Cappar., Capparaceae; Cleom., Cleomaceae; Resed., Resedaceae; Tropaeol., Tropaeolaceae). For detailed information, refer to Suppl. material 1 (Psylliodes) and 3 (Phyllotreta).

opencc-by-4.0Jun 2019View details →
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Supplementary material 3 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

: Data type: (Species, host plants, diet breadth, geographic distribution)

opencc-zeroJun 2019View details →
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Supplementary material 2 from: Gikonyo MW, Biondi M, Beran F (2019) Adaptation of flea beetles to Brassicaceae: host plant associations and geographic distribution of Psylliodes Latreille and Phyllotreta Chevrolat (Coleoptera, Chrysomelidae). In: Schmitt M, Chaboo CS, Biondi M (Eds) Research on Chrysomelidae 8. ZooKeys 856: 51-73. https://doi.org/10.3897/zookeys.856.33724

: Data type: (Species, host plant families)

opencc-zeroJun 2019View details →
zenodo28/100

FIGURE 10 in The soft ticks (Parasitiformes: Ixodida: Argasidae) of Mexico: species, hosts, and geographical distribution

FIGURE 10. Distribution of Otobius species in Mexico.

opennotspecifiedJun 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record