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177 results for “Countries distribution”
Figure 1 in Status and distribution of Paraguayan macaws (Aves: Psittacidae) with a new country record
Figure 1. Hyacinth Macaw Anodorhynchus hyacinthinus Estancia Estrella, Concepción department, 04 December 2007. (Photo H. del Castillo).
Figure 2 in Status and distribution of Paraguayan macaws (Aves: Psittacidae) with a new country record
Figure 2. Blue-and-yellow Macaw Ara ararauna Aquidabán River on the road north to Bella Vista del Norte, 30 October 2010. (Photo O. Rodríguez).
Figure 3 in Status and distribution of Paraguayan macaws (Aves: Psittacidae) with a new country record
Figure 3. Red-shouldered Macaw Diopsittaca nobilis Estancia Laguna Ciervo, Amambay department, 01 May 2017. (Photo O. Rodríguez).
FIGURE 3 in Integrative taxonomy reveals first country record of Hyalinobatrachium mondolfii Señaris and Ayarzagüena 2001, and distribution range extensions for Cochranella nola Harvey 1996, and Rulyrana spiculata Duellman 1976 (Anura: Centrolenidae) in Peru
FIGURE 3. Dorsolateral and ventral views in life of adult males of Hyalinobatrachium mondolfii from Las Piedras Amazon Center (LPAC), Madre de Dios, Peru. A, B) CORBIDI 18221; C, D) CORBIDI 18222.
FIGURE 5. A in Integrative taxonomy reveals first country record of Hyalinobatrachium mondolfii Señaris and Ayarzagüena 2001, and distribution range extensions for Cochranella nola Harvey 1996, and Rulyrana spiculata Duellman 1976 (Anura: Centrolenidae) in Peru
FIGURE 5. A) Habitat of Hyalinobatrachium mondolfii in the floodplain Amazonian rainforest at Las Piedras Amazon Center (LPAC), Madre de Dios. Peru; B) gelatinous mass containing undeveloped eggs in a clutch in the same locality; C) embryos of
Data for National interest may require distributing COVID-19 vaccines to other countries
<p>Countries Groups contains information on which countries are considered as part of COVAX. </p> <p>Population contains information on population. </p>
Data from: Risk of potential pesticide use to honeybee and bumblebee survival and distribution: a country-wide analysis for The Netherlands
Aim: Bees play an important role in natural ecosystems and the world's food supply. In the past decades, bee abundance and diversity have declined globally. This has resulted in decreased pollination services for natural ecosystems and the agricultural sector at the field scale. One of the causes of the decline in bee abundance and diversity is the use of pesticides. Linking pesticide use, land use and bee presence could provide crucial insights into areas and pesticides that pose a significant threat to the abundance and diversity of bees. Obtaining actual figures of farmer pesticide use is rarely possible. Therefore, we designed a method to study the effects of potential pesticide use on the survival and distribution of honey- and bumblebees. Location: The Netherlands. Methods: A pesticide risk model was implemented incorporating a hazard quotient as the risk assessment. The number of allowed pesticide active ingredients per crop that could pose a risk to honeybees and bumblebees were linked to the Dutch crop parcel locations for 2015 and 2016. The potential pesticide risk maps were analyzed using honeybee colony survival and bumblebee presence data. Results: Non-significant negative effects of potential pesticide risk on honeybee colony survival and bumblebee presence were found. A significant negative effect of greenhouses was identified for both honeybees and bumblebees. The most important factors in the models predicting honeybee colony survival and bumblebee presence were urban land areas and natural grasslands respectively, both showing a positive effect. Main conclusions: Here, the first attempt to estimate and map pesticide risk to bees in the Netherlands in a country-wide manner is presented. The results could provide crucial high-resolution insights for bee conservation action and facilitate the increase of pollination services in natural ecosystems and the agricultural sector on a local and country-wide scale.
Data from: Geographic distribution of the invasive cattle tick Rhipicephalus microplus, a country-wide survey in Benin
The cattle tick Rhipicephalus microplus is currently invading the West African region, and little information is available on the spread of this exotic tick in this region. We set out a country-wide field survey to determine its current distribution in Benin. Ticks were collected on cattle from 106 farms selected by random sampling covering all regions of the country. Rhipicephalus annulatus was found on 70 % of all farms, R. decoloratus on 42 %, R. geigyi on 58 %, and R. microplus on 49 %. There is a clear geographic separation between the indigenous Rhipicephalus species and R. microplus. Rhipicephalus annulatus occurs mainly in the northern departments, but it was also observed in lower numbers in locations in the south. The presence of R. decoloratus is limited to the northern region, and in most locations, this tick makes up a small proportion of the collected ticks. The tick R. geigyi tends to be dominant, but occurs only in the four northern departments. The observations concerning R. microplus are entirely different, this species occurs in the southern and central region. The results of this survey confirm the invasive character and displacement properties of R. microplus, since in less than a decade it has colonized more than half of the country and has displaced indigenous ticks of the same genus in many of the sampled locations.
Data from: A metagenetics approach to determine the diversity and distribution of cyst nematodes at the level of the country, the field and the individual
Distinct populations of the potato cyst nematode (PCN) Globodera pallida exist in the UK that differ in their ability to overcome various sources of resistance. An efficient method for distinguishing between populations would enable pathogen-informed cultivar choice in the field. Science and Advice for Scottish Agriculture (SASA) annually undertake national DNA diagnostic tests to determine the presence of PCN in potato seed and ware land by extracting DNA from soil floats. These DNA samples provide a unique resource for monitoring the distribution of PCN and further interrogation of the diversity within species. We identify a region of mitochondrial DNA descriptive of three main groups of G. pallida present in the UK, and adopt a metagenetics approach to the sequencing and analysis of all SASA samples simultaneously. Using this approach we describe the distribution of G. pallida mitotypes across Scotland with field-scale resolution. Most fields contain a single mitotype, one fifth contain a mix of mitotypes, and less than 3 % contain all three mitotypes. Within mixed fields we were able to quantify the relative abundance of each mitotype across an order of magnitude. Local areas within mixed fields are dominated by certain mitotypes and indicate towards a complex underlying "pathoscape". Finally, we assess mitotype distribution at the level of the individual cyst, and provide evidence of "hybrids". This study provides a method for accurate, quantitative and high throughput typing of up to one thousand fields simultaneously, while revealing novel insights into the national genetic variability of an economically important plant-parasite.
FIGURE 2 in Croatian freshwater oligochaetes: species diversity, distribution and relationship to surrounding countries
FIGURE 2. Hierarchical cluster analysis of oligochaete fauna based on presence/absence data and the Bray–Curtis similarity index (group average linking). a) Black Sea basin, b) Adriatic Sea basin. SP—springs, ST—streams, RI—rivers, LA—lakes, LAb—barrage lake outlets (tufa barriers), RE—reservoirs, POf—fish ponds, GP—gravel pits, STt—thermal streams, SPhhypothermal springs, RIb—old river beds, CH—channels, CA—caves, PO—ponds.
FIGURE 3 in Croatian aquatic dance flies (Diptera: Empididae: Clinocerinae and Hemerodromiinae): species diversity, distribution and relationship to surrounding countries
FIGURE 3. Cluster analysis for community composition data of aquatic Empididae, based on Bray-Curtis Similarity.
FIGURE 2. Bactrocera kohkongiae. A in Description of a new species and new country distribution records of Bactrocera (Diptera: Tephritidae: Dacinae) from Cambodia
FIGURE 2. Bactrocera kohkongiae. A: head; B: head and scutum (Holotype); C: abdomen (Holotype); D: lateral view (Holotype); E: wing.
FIGURE 1 in Description of a new species and new country distribution records of Bactrocera (Diptera: Tephritidae: Dacinae) from Cambodia
FIGURE 1. Map of trapping locations in Cambodia (February 2011), with number of specimens and vouchers of Bactrocera kohkongiae for each site or group of sites.
FIGURE 3. A–J in Description of a new species and new country distribution records of Bactrocera (Diptera: Tephritidae: Dacinae) from Cambodia
FIGURE 3. A–J: Variation in colour pattern of scutum (A–E) and abdomen (F to J) in Bactrocera kohkongiae. Molecular voucher codes are: A: ms1149; B: ms1144; C: ms1151; D: ms1140; E: ms1150; F: ms1149; G: ms1145; H: ms1146; I: ms1139; J: ms1137.
FIGURE 4 in Description of a new species and new country distribution records of Bactrocera (Diptera: Tephritidae: Dacinae) from Cambodia
FIGURE 4. Statistical parsimony haplotype network based on COI (1464 bp) data for 21 specimens of B. kohkongiae. Circles represent the 20 unique haplotypes and their sizes are proportional to the number of specimens with those haplotypes. Black dots and bars represent missing intermediate haplotypes (mutational steps). Voucher numbers are indicated in each circle.
FIGURE 3 in Blackflies (Diptera: Simuliidae) in Croatia: species richness, distribution and relationship to surrounding countries
FIGURE 3. Comparison of Croatian blackfly assemblage with faunas of surrounding countries. Surface area (km): Italy (301,338 km²), Slovenia (20,273 km²), Hungary (93,030 km²), SRB = Serbia (88,361 km²), Bosnia and Herzegovina (51,197 km²), Croatia (56,594 km2).
FIGURE 9 in National Herbarium Plant Collecting Programme reveals new country and provincial distribution records from South African National Parks (Apocynaceae, Asteraceae & Xanthorrhoeaceae: Asphodeloideae)
FIGURE 9. Known distribution of Trachyandra asperata var. basutoensis,. New localities, ̝. Specimens housed at PRE and NBG.
FIGURE 6 in National Herbarium Plant Collecting Programme reveals new country and provincial distribution records from South African National Parks (Apocynaceae, Asteraceae & Xanthorrhoeaceae: Asphodeloideae)
FIGURE 6. Known distribution of Doellia cafra in southern Africa,. New localities, ̝. Specimens housed at PRE and NBG.
FIGURE 8 in National Herbarium Plant Collecting Programme reveals new country and provincial distribution records from South African National Parks (Apocynaceae, Asteraceae & Xanthorrhoeaceae: Asphodeloideae)
FIGURE 8. Known distribution of Bulbine ophiophylla,. New localities, ̝. Specimens housed at PRE and NBG.
FIGURE 7 in National Herbarium Plant Collecting Programme reveals new country and provincial distribution records from South African National Parks (Apocynaceae, Asteraceae & Xanthorrhoeaceae: Asphodeloideae)
FIGURE 7. Known distribution of Pulicaria scabra in southern Africa. All specimens housed at PRE and NBG.
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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.
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.