Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
327
datasets available to search
ShareScore release 0.9.0
Dataset results
327 results for “Wild birds”
Fig. 1 in Spatial, temporal, molecular, and intraspecific differences of haemoparasite infection and relevant selected physiological parameters of wild birds in Georgia, USA
Fig. 1. Map of Georgia (USA) indicating the location of the six sampling sites for identifying haemoparasite infections of birds in the northern and southern regions of the state.
Fig. 2 in Spatial, temporal, molecular, and intraspecific differences of haemoparasite infection and relevant selected physiological parameters of wild birds in Georgia, USA
Fig. 2. Average percent cell volume (PCV) values for five target bird species from Georgia (USA). Different letters indicate significant differences between bird species (p <0.05).
Fig. 2 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 2. Distribution of nest mite population sizes estimated when nests were placed in a Berlese funnel after nestlings had fledged. All nests began the experiment with the same population size (100 live mites), mimicking identical transmission, but ending population sizes 30–35 days later were highly variable. This suggests that factors of the nest environment or hosts may be playing an important role in mite population growth.
Fig. 4 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 4. The relationship between the substrate the nest was built on: concrete, metal, or wood (y-axis) and the number of mites estimated in the field when chicks were 12 days old. Nests built on wooden substrates had significantly more mites compared to nests built on concrete or metal substrates. This graph was made using raw data, but models reported in the text included site as a random effect.
Fig. 3 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 3. Relationship between the number of non-mite arthropods (x-axis) and nest mites (y-axis) that were recovered when experimental nests were removed from the field after nestlings fledged and placed in a Berlese funnel. Nests with more arthropods had significantly fewer nest mites. This graph was made using raw data, but models reported in text had a Poisson distribution and included site as a random effect.
Fig. 3 in Detection of haemosporidian parasites in wild and domestic birds in northern and central provinces of Iran: Introduction of new lineages and hosts
Fig. 3. Median joining haplotype network of Haemoproteus lineages. Detected sequences in this study are in bold.
Fig. 2. Bayesian tree reconstructed using 478 in Detection of haemosporidian parasites in wild and domestic birds in northern and central provinces of Iran: Introduction of new lineages and hosts
Fig. 2. Bayesian tree reconstructed using 478-bp mitochondrial cytb gene for avian blood parasites lineages. The amplified sequences in the current study are highlighted in bold. Posterior probability support of>0.8 is displayed for each branch. Schematic tree is summarized in section A and separated clade for each genus is given in sections of B (Plasmodium), C (Haemoproteus), and D (Leucocytozoon).
Fig. 1 in Rickettsia parkeri strain Atlantic rainforest in ticks (Acari: Ixodidae) of wild birds in Arauca, Orinoquia region of Colombia
Fig. 1. Localities sampled in the municipalities of Arauca, Cravo Norte, and Tame and reports of Rickettsia spp. in the study area (▴Rickettsia parkeri strain Atlantic rainforest).
Fig. 2 in Rickettsia parkeri strain Atlantic rainforest in ticks (Acari: Ixodidae) of wild birds in Arauca, Orinoquia region of Colombia
Fig. 2. Phylogenetic tree based on partial sequences of the outer membrane protein gene ompB present only in SFG Rickettsia species. The tree was inferred through Maximum Likelihood with the Tamura 3-parameter evolution model. The sequences obtained in this study appear in bold and the GenBank accessions numbers are provided within square brackets.
Fig. 1 in Prevalence of avian haemosporidia among injured wild birds in Tokyo and environs, Japan
Fig. 1. Locations of the four facilities in the Kanto region that samples were collected. A. Kanagawa Prefecture Natural Conservation Center, B. Inokashira Animal Hospital, C. Gyotoku Wild Bird Hospital, D. Bird Clinic Kanesaka Animal Hospital.
Fig. 2 in Prevalence of avian haemosporidia among injured wild birds in Tokyo and environs, Japan
Fig. 2. Hemacolor ® stained blood smears from rescued birds: (a) Plasmodium sp. from Cyanopica cyanus, (b) P. reluctum from Hypisipetes amaurotis, (c) P. circumflexum from Fulica atra, (d) Haemoproteus sp. from Hypisipetes amaurotis, (e) Haemoproteus sp. from Larus canus, (f) H. minutus from Turdus cardis, (g) Leucocytozoon sp. from Anas acuta, (h) Leucocytozoon sp. from Aythya marila.
Fig. 1 in Trichinella surveillance program in wild birds, Emilia-Romagna (northern Italy), 2006-2021. First report of Trichinella pseudospiralis in western marsh harrier (Circus aeruginosus) in Italy
Fig. 1. Alignment of homologous ESV sequences of T. pseudospiralis isolates belonging to Palearctic, Nearctic and Australian populations. C. aeruginosus, isolate from the western marsh harrier (ISS8343); IT_rk, isolate from a red kite (Milvus milvus) of the Basilicata region (ISS7768); IT_wb, isolate from a wild boar hunted in Northern Italy (ISS2851); FI, isolate from a raccoon dog (Nyctereutes procyonoides) of Finland (ISS681); SK, isolate from a peregrine falcon (Falcus peregrinus) of the Slovak Republic (MN963194); RU, isolate from a raccoon (Procyon lotor) of Southern Russia (ISS13); KZ, isolate from a tawny eagle (Aquila rapax) of Kazakhstan (ISS176); US, isolate from a black vulture (Coragypus atratus) of USA (ISS470); AU, isolate from a tiger cat (Dasyurus maculatus) of Australia (ISS141). Conserved bases are represented by dots; gaps are represented by dashes; different residues are highlighted in red; TGC microsatellite region is boxed in green. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Molecular screening for Sarcocystidae in muscles of wild birds from Brazil suggests a plethora of intermediate hosts for Sarcocystis falcatula
Fig. 3. Phylogenetic tree of Sarcocystis spp. based on ITS1 sequences. The tree was constructed through the maximum likelihood method, using the best-fit model HKY + I. The final alignment contained 78 sequences and 661 aligned nucleotide positions. All positions containing gaps and missing data were eliminated (complete deletion option). Numbers on branches represent bootstrap values after 1000 replicates. The black dots identify the sequences obtained in this study.
Fig. 2. SAG1 in Molecular screening for Sarcocystidae in muscles of wild birds from Brazil suggests a plethora of intermediate hosts for Sarcocystis falcatula
Fig. 2. SAG1 (a), SAG2 (b) and SAG3 (c) haplotype networks for Sarcocystis falcatula and other closely related species obtained in this study. Perpendicular bars along the branches refer to mutation changes. The sizes of the circles are proportional to the numbers of haplotypes, and colors indicate the different orders of birds found. The numbers correspond to the sample IDs. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Molecular screening for Sarcocystidae in muscles of wild birds from Brazil suggests a plethora of intermediate hosts for Sarcocystis falcatula
Fig. 1. Phylogenetic tree of Sarcocystis spp. based on ITS1 sequences. The tree was constructed through the maximum likelihood method, using the best-fit model K2P + G. The final alignment contained 24 sequences and 389 aligned nucleotide positions. All positions containing gaps and missing data were eliminated (complete deletion option). Numbers on branches represent bootstrap values after 1000 replicates. The black dots identify the sequences obtained in this study.
Fig. 1 in Eyeworms of wild birds and new record of Thelazia (Thelaziella) aquilina (Nematoda: Spirurida)
Fig. 1. Thelazia (Thelaziella) aquilina on the cornea of an adult female Harpia harpyja in Amazonia region (Brazil).
Fig. 3 in Eyeworms of wild birds and new record of Thelazia (Thelaziella) aquilina (Nematoda: Spirurida)
Fig. 3. Morphology of Thelazia (Thelaziella) aquilina male: a) Posterior end, male, lateral view, spicules; b) Posterior end, right spicule and distal portion of the left spicule; c) Right spicule and gubernaculum (arrowhead); Distal portion of the right spicule, bulbar expansion with transparent hyaline membrane (arrows); d) Posterior end, male, ventral view, spicules and papillae pre (arrowhead) and post-cloacal (arrows).
Fig. 2. a in Eyeworms of wild birds and new record of Thelazia (Thelaziella) aquilina (Nematoda: Spirurida)
Fig. 2. a) Morphology of Thelazia (Thelaziella) aquilina male after extraction from the conjunctival sac; b) Anterior part of male; c) Cephalic extremity, male, lateral view, buccal cavity hexagonal (arrows); d) anterior part in lateral view, portion oesophagus lumen (arrows) and striations (arrowhead) around anterior end.
Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020 - high quality maps
<p>Here you can find the high quality maps published in 'Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020' by EFSA.</p>
Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020 - monthly maps
<p>Here you can find monthly maps referred in publication 'Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020' by EFSA.</p> <p>Figure legend for all figures:<br> Monthly observations and samples from wild birds on the EFSA list of target species for 2020 by NUTS3 region. The green colour scale represents the number of wild bird observations from the target species, as per data provided by the EuroBirdPortal project. The black dots represent the number of wild bird samples from target species tested within the countries' AI passive surveillance programmes. Wild bird samples reported at NUTS2 level are not shown on these maps.</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.