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162 results for “airport”
FIGURE 13 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 13. Terminalichus karachiensis dorsum, venter and palp (after Anwarullah & Khan 1973).
FIGURE 37 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 37. Pentamerismus erythreus female dorsum and venter (after Baker & Tuttle 1987).
FIGURE 35 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 35. Magdalenapalpus strandtmanni female dorsum (after Smiley et al. 1996).
FIGURE 32 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 32. Pseudoleptus arechavaletae female dorsum and venter (after Pritchard & Baker 1958).
FIGURE 31 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 31. Raoiella indica female and male (after Pritchard & Baker 1958).
FIGURE 28 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 28. Capedulia calendulae female dorsum, venter and tarsus (after Meyer 1979).
FIGURE 34 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 34. Australopalpus alphitoniae female dorsum and venter (after Smiley & Gerson 1995).
FIGURE 39 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 39. Aegyptobia tragardhi female dorsum and venter (after Sayed 1950).
FIGURE 29 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 29. Coleacarus lithops female dorsum, gnathosoma, venter and tarsus I (after Meyer 1979).
FIGURE 30 in Eleventh Annual Report of Historic Properties at the Phoenix-Mesa Gateway Airport, Mesa, Arizona
FIGURE 30. Raoiellana allium female dorsum and venter (after Baker & Tuttle 1972).
Fig. 2 in Aviation Safety Ranking Values And Bird Species At Trabzon International Airport, Türkiye
Fig. 2. Migration status of the detected bird species at Trabzon International Airport. Abbreviations: W = wintering, SV = summer visitor, R = resident, PM = passage migrant
Dataset of air travelers’ ground transportation choice at four airports in Northern California
Open the record for dataset details and reuse information.
Runways of Sky Harbor International Airport, Phoenix Arizona - year 1999
This layer contains the runways of Sky Harbor International Airport, Phoenix Arizona in 1999. This dataset was produced by the Central Arizona-Phoenix long term ecological research project.
Wikidata Dump Airports
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> <br> <a href="https://tools.wmflabs.org/wdumps/dump/618">View on wdumper</a> </p> <p> <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0 </p>
An Approach to Screening for COVID-19 at Vancouver Airport
ClinicalTrials.gov study NCT04665193. IPD Sharing: NO. Countries: 1. Publications: 0.
DISCOVER-AQ Texas Deployment LaPorte Airport Ground Site Data
DISCOVERAQ_Texas_Ground_LaPorteAirport_Data contains data collected at the LaPorte Airport ground site during the Texas (Houston) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Texas deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
airport fisheye
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665337902.9108.jpg">https://4dcity.org/imgupload/1665337902.9108.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/4493/26284315769_bbf376c072_m.jpg">https://live.staticflickr.com/4493/26284315769_bbf376c072_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665337902.9108.jpg<br>Image Dimensions: 240x159<br>Megapixels: 0.04 MP<br>Filesize: 19.93 KB<br><br>Copyright: Mathias Kuntze<br>ExifOffset: 94<br>Artist: Mathias Kuntze
From the passenger seat: Velazco Astete Airport, Cusco, Peru
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336847.9631.jpg">https://4dcity.org/imgupload/1665336847.9631.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/1783/28550976977_91c5c7e781_m.jpg">https://live.staticflickr.com/1783/28550976977_91c5c7e781_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336847.9631.jpg<br>Image Dimensions: 240x240<br>Megapixels: 0.06 MP<br>Filesize: 18.04 KB<br><br>ExifOffset: 38
Cusco Airport
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336859.8962.jpg">https://4dcity.org/imgupload/1665336859.8962.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/2842/33139848594_d7bc764bf1_m.jpg">https://live.staticflickr.com/2842/33139848594_d7bc764bf1_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336859.8962.jpg<br>Image Dimensions: 240x180<br>Megapixels: 0.04 MP<br>Filesize: 13.93 KB<br><br>ExifOffset: 38
From the passenger seat: Velazco Astete Airport, Cusco, Peru
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336847.7797.jpg">https://4dcity.org/imgupload/1665336847.7797.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/915/28551062447_24d8565ac5_m.jpg">https://live.staticflickr.com/915/28551062447_24d8565ac5_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336847.7797.jpg<br>Image Dimensions: 240x240<br>Megapixels: 0.06 MP<br>Filesize: 20.48 KB<br><br>ExifOffset: 38
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.