I'm planning a birding trip to New York County, New York, US. Please find the bar chart for this region and identify the single bird species with the highest observed frequency (darkest bar) in June and July. Additionally, I'm interested in eBird's data quality. How does eBird use filters to ensure data quality, especially for rare bird sightings? Finally, I'd like to contribute to eBird; how can I contribute photos and sounds?
Navigate to 'ebird.org'. Click on the 'Explore' link in the main navigation. In the 'Explore Regions' search bar, type 'New York County, New York, US' and select the correct region from the dropdown suggestions. On the New York County region page, click on the 'Bar Charts' link. Scroll down the bar chart to view the data. Examine the bar chart for June and identify the single bird species with the darkest/most filled bar, indicating the highest observed frequency. Examine the bar chart for July and identify the single bird species with the darkest/most filled bar, indicating the highest observed frequency. Navigate to the 'Help Center' by clicking the 'Help' link in the main navigation. On the 'Help Center' page, click on 'The eBird Review Process' link under the 'Getting Started' section. Extract information from 'The eBird Review Process' article on how eBird uses filters (automated and human review) to ensure data quality, especially for rare bird sightings. Navigate back to the 'Help Center' (if not already there, use the 'Solution home' link or similar). From the 'Help Center', locate and click on the 'Upload Checklist Media' link (likely found under 'Related Articles' or 'Contributing Media'). Extract information on how to contribute photos and sounds to eBird. Synthesize all collected information to answer the task.
The agent successfully navigates to the 'Explore' page. The agent successfully searches for and navigates to the region page for 'New York County, New York, US'. The agent successfully navigates to and confirms the display of the bar chart for 'New York County, New York, US'. The agent identifies the single bird species with the highest observed frequency in June (e.g., 'Canada Goose' or 'Mallard' based on actual chart data for New York County). The agent identifies the single bird species with the highest observed frequency in July (e.g., 'Canada Goose' or 'Mallard' based on actual chart data for New York County). The agent successfully navigates to the 'Help Center'. The agent successfully navigates to 'The eBird Review Process' article. The agent explains that eBird ensures data quality through automated data filters and a global team of volunteer bird experts, flagging unusual or rare sightings for rigorous review. The agent successfully navigates to the 'Upload Checklist Media' article. The agent explains that users can contribute photos and sounds by uploading them directly to their eBird checklists, by clicking 'Add Media' and dragging files onto the page. The agent synthesizes all collected information into a concise answer.