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66 results for “zoom”
MALDI-TOF-MS spectra of archaeological bone associated with fishhook manufacture from Moloka'i, Hawai'i, for ZooMS (Zooarchaeology by Mass Spectrometry)
<p>MALDI-TOF-MS spectra for archaeological bone fragments associated with fishhook manufacture from Moloka'i, Hawai'i. All spectra are uploaded in .mzml format. </p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
eye-tracking data from a survey on zooming in a pan-scalar map
<p><strong>Recording and processing a survey using an eye tracker </strong></p> <p>The eye-tracker used is a Pupil Core from Pupil Labs. The basic eye tracker configuration, i.e. a fixation time of 80 ms to 200 ms, is kept for this experiment.</p> <p> </p> <p>The aim of the experiment is to understand what a person looks at to find their way around a multi-scale map and to understand the different strategies used. To do this, the user will be free to use the map as he wishes, i.e. he can use pan and zoom at will. Four types of tasks will be asked in order to have a maximum of types of use of multi-scale map.The first task is to simulate that a user is using an application like map or Google map and is looking for a specific address. The map application will then zoom in very strongly on the address. The user has little spatial context and it often takes some time to find his way around. To simulate the application, a point is placed on Paris or its surroundings and the display is very zoomed (Paris was chosen because most people have a more or less detailed mental map of Paris). The user is then asked to interact with the map (zooming and panning) until he feels he is sufficiently located, as he would if he had to search for a place on his mobile phone. When he is located, he just needs to move on to the next stage without asking for validation. This stage is carried out in four locations. The four points are located near Montmartre, at the entrance to the catacombs of Paris, in Vincennes and finally at Porte d'Asnières</p> <p><br> The second task is to find a place from an aerial image. The aerial image of a specific area is displayed and the map is zoomed out to the city where the location is located. The user must then try to find the location in the image. Unlike the first task, the user must request validation before proceeding to the next stage.<br> This task is repeated in two different cities. The two images are the tête d'or park in Lyon and a building block next to a railway in Dijon.</p> <p><br> The third task also consists of finding a precise location using textual indications. The user still has to ask for validation to go to the next stage .</p> <p>This task is repeated in two different cities.The first was "to find the town hall which is just south of the town centre and next to the library" and the second was "to find the stadium east of the town centre and north of the river Vilaine with a north/south orientation.</p> <p><br> The last task builds on tasks 2 and 3. The map is again zoomed out, an aerial image appears and textual indications are given. This task is repeated on two different cities.</p> <p>The first image is of a building in beauvais with the indication: "the building is in the north west of sqare next to the SNCF station". The second one is a picture of a stadium in lyon with the indication: "the stadium is west of the confluence of lyon".</p> <p><strong>data format :</strong><br> <strong>Coord_fixation_on_map_x_y</strong>: geolocated fixation point with x the survey type 1 or 2 and y the candidate number (id_fixation,x,y,zoom,etape)</p> <p><strong>Pan</strong>: pan on the map during the survey</p> <p><strong>Pan_fixation_on_map</strong> : fixation during a pan</p> <p><strong>zoom</strong>: zoom on the map during the survey</p> <p><strong>zoom_fixation_on_map</strong>: fixation during a zoom</p> <p><strong>stat</strong>: number of zoom, pan and fixation per step</p> <p><strong>result_map_x </strong>= map status every 100 ms during the survey x</p> <p><strong>00x </strong>: export file of the eye-tracker pupil Lab</p> <p> </p>
Zooming in on ZooMS: New Approaches to ZooMS Protocols and Further Insights into Animal Identifications in Neolithic and Bronze Age Indus Valley Sites
<p>Method Development of the ZooMS protocol to increase success rate of taxonomic identification of heavily degraded faunal materials. The methods were tested on Indus Valley bones- samples that are known to be heavily degraded.</p>
A Clinical Trial to Evaluate Efficacy of Once or Twice ZOledronic Acid After Different Duration of denOsumMab Administration in Postmenopausal Women With Osteoporosis (ZOOM Study)
ClinicalTrials.gov study NCT05361408. IPD Sharing: NO. Countries: 1. Publications: 2.
Group CST Using Zoom: A Proof of Concept Study
ClinicalTrials.gov study NCT04695743. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Zooming in on mechanistic predator-prey ecology: integrating camera traps with experimental methods to reveal the drivers of ecological interactions
Open the record for dataset details and reuse information.
MALDI-TOF-MS reference spectra and sequence data for African bovid collagen for Zooarchaeology by Mass Spectrometry (ZooMS)
<p>MALDI-TOF-MS spectra of extracted collagen from modern African bovids used as reference spectra to develop markers for Zooarchaeology by Mass Spectrometry (ZooMS). Some of this material was also analyzed by LC-MS/MS. That data can be found at MassIVE MSV000084675 (<a href="https://doi.org/doi:10.25345/C5239K">doi:10.25345/C5239K</a>). Information about the species of the samples can be found in Key for Labels.csv file.</p> <p>The sequence data contains annotated alignments of the proteins COL1A1 and COL1A2 and the alignments for the available bovid collagen protein sequences. More information on these files can be found in the corresponding manuscript to this dataset.</p>
MALDI-ToF-MS spectra of Late Pleistocene fossil material from Australia for ZooMS
<p>MALDI-TOF-MS spectra for Late Pleistocene fossil material from Australia. All spectra are uploaded in .mzml format. </p>
Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments
<p>This link supplements the paper "Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments" published in Paleoanthropology (https://paleoanthropology.org/ojs/index.php/paleo)</p> <p>We analysed with ZooMS (Zooarchaeology by mass Spectrometry) 1,050 bone fragments recovered through water sieving from an Early Aurignacian layer (37–34 ka cal. BP) in the site of Le Piage (Lot, France) to compare the taxonomic identifications of bone remains using traditional morphological attributes with remains identified using ZooMS, and discuss the implications of the taxonomic patterns that we uncovered. </p> <p>This page contains mzXml files of the spectra obtained and analysed within the scope of the published paper. The files are classified by runs, and the excel sheet entitled "Sample location (spectrum n°) in MS analyses" stipulates which mzXML files correspond to which specimen. This page also contains the simplified database reporting the identifications obtained through peptide mass fingerprinting (PMF) and a breakdown of deamidation values calculated with the Betacalc 3 published in Wilson et al. (2012).</p> <p><span><span>For any questions please contact Pauline Raymond (pauline.raymond@college-de-france.fr).</span><br><span>Please use the DOI when citing this dataset. </span></span></p>
Dataset for Study: Negotiating Visibility: Mediating Presence through Zoom Camera Choices in Post-Secondary Students during COVID-19
Open the record for dataset details and reuse information.
ZooMS data for Urd Ulaan Uneet saddle
<p>Peptide mass fingerprint data generated by a Bruker MALDI-TOF from the extracted collagen of the archaeological Urd Ulaan Uneet saddle. Samples were run in duplicate and both are uploaded here in mzml format here. For specifics of the extraction, mass spectrometry, and analysis, see the linked manuscript.</p>
OMI/Aura Level 1B UV Zoom-in Geolocated Earthshine Radiances 1-orbit L2 Swath 13x12 km V003 (OML1BRUZ) at GES DISC
The Aura Ozone Monitoring Instrument (OMI) Level-1B (L1B) Geo-located Earth View UV Radiance, Zoom-in-Mode (OML1BRUZ) Version-3 product contains geo-located Earth view spectral radiances from the UV detectors in the wavelength range of 264 to 383 nm using spectral and spatial zoom-in measurement modes. In zoom-in measurement mode, OMI observes 60 ground pixels (13 km x 24 km at nadir) across the swath. Each file contains data from the day lit portion of an orbit (~60 minutes) and is roughly 215 MB in size. There are approximately 14 orbits per day. OMI performs spatial zoom-in measurements one day per month. For that day, this product also contains UV2 measurements that are rebinned from the spatial zoom-in measurements. The shortname for this OMI Level-1B Product is OML1BRUZ. The lead algorithm scientist for this product is Dr. Marcel Dobber from the Royal Netherlands Meteorological Institude (KNMI).The OML1BRUZ files are stored in HDF4 based EOS Hierarchical Data Format (HDF-EOS). The radiances for the earth measurements (also referred as signal) and its precision are stored as a 16 bit mantissa and an 8-bit exponent. The signal can be computed using the equation: signal = mantissa x 10^exponent. For the precision, the same exponent is used as for the signal.
OMI/Aura Zoom-in Ground Pixel Corners 1-Orbit L2 Swath 13x12km V003 (OMPIXCORZ) at GES DISC
The Version-3 Aura Ozone Monitoring Instrument (OMI) Pixel Corner Product in zoom-in mode, OMPIXCORZ, is now available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access. The shortname for this Level-2 OMI product is OMPIXCORZ. The algorithm lead for this product is the US OMI scientists Dr. Thomas Kurosu from the Harvard-Smithsonian Center, Cambridge, MA.The OMPIXCORZ product contains ground locations of the OMI pixel corners in the zoom-in scanning mode. The motivation for the development of the OMI ground pixel corner products was the common need for: the visualization of derived OMI data products, the provision of ground pixel area for computations of trace gas emissions per area, the facilitation of the development of cross-platform pixel mapping applications (e.g., between OMI and MODIS), and to generally aid validation studies, to name just a few.The OMPIXCORZ files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) . There are approximately 14 orbits approximately one day per month. The average file size for the OMPIXCORZ data product is about 8 Mbytes.
OMI/Aura Level 1B VIS Zoom-in Geolocated Earthshine Radiances V004 (OML1BRVZ) at GES DISC
The Aura Ozone Monitoring Instrument (OMI) Level 1B (L1B) Zoom-in Earthshine UV Radiance, Zoom-mode (shortname OML1BRVZ) Version 4 product contains geolocated Earth view spectral radiances from the VIS detectors in the wavelength range of 349 to 504 nm taken in the zoom-in measurement mode. In the zoom-in mode, OMI observes 60 ground pixels (13 km x 12 km at nadir) across the swath (~750 km width) for each of the 751 channels of Band 3 (349-504 nm). There are approximately 14 files of orbital data per day. Each file contains data from the daylit portion of an orbit and is roughly 240 MB in size. This OML1BRVZ zoom-in mode product is only available about once a month. The data in the OML1BRVZ files are stored in the Network Common Data Form (netCDF) format. The lead algorithm scientist for the OMI Level 1 products is Dr. Quintus Kleipool of the Royal Netherlands Meteorological Institude (KNMI).
OMI/Aura DOAS Total Column Ozone Zoomed 1-Orbit L2 Swath 13x12km V003 (OMDOAO3Z) at GES DISC
The reprocessed Aura Ozone Monitoring Instrument (OMI) Level-2 Zoomed Ozone data product OMDOAO3Z at 13x12 km resolution is now available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two sets of total column ozone products OMTO3 and OMDOAO3 which are based on two different algorithms. OMTO3 product is based on TOMS like ozone retrieval algorithm whereas OMDOAO3 total column ozone product is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. The DOAS retrieval algorithm is developed by the KNMI OMI Scientist, Dr Pepijn Veefkind. Based on spatial resolutions, there are two DOAS algorithm based ozone products, OMDOAO3 (at 13x24 km resolution) and OMDOAO3Z (13x12 km resolution). In addition to the total ozone column values these DOAS based ozone products also contain some auxiliary derived and ancillary input parameters e.g. ozone slant column density, ozone ghost column density, air mass factor, scene reflectivity, radiance over the DOAS fit window, root mean square of DAOS fit, cloud fraction, cloud radiance, cloud pressure, terrain height, geolocation, viewing angles and quality flags. The shortname for this Level-2 OMI Zoomed Ozone product is OMDOAO3Z.The OMDOAO3Z files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMDOAO3Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMDOAO3Z data is approximately 30 MB.
OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) Zoomed 1-Orbit L2 Swath 13x12km V003 (OMCLDO2Z) at GES DISC
The reprocessed Aura Ozone Monitoring Instrument (OMI) Level-2 zoomed cloud data product OMCLDO2Z at 13x12 km resolution is now available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed late 2011. OMI provides two cloud products based on two different algorithms, the Rotational Raman Scattering method and O2-O2 absorption method using the DOAS technique. This level-2 zoomed cloud product at the pixel resolution (13x12 km2 at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. This product contains effective cloud pressure, effective cloud fraction, slant column O2-O2; uncertainties in derived, parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Zoomed cloud product is OMCLDO2Z. The lead scientist for this product is Dr. Pepijn Veefkind.The OMCLDO2Z files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 20 MB in size. OMCLDO2Z data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one zoomed cloud product per month.
OMI/Aura Level 1B VIS Zoom-in Geolocated Earthshine Radiances 1-orbit L2 Swath 13x12 km V003 (OML1BRVZ) at GES DISC
The Aura Ozone Monitoring Instrument (OMI) Level-1B (L1B) Geo-located Earth View VIS Radiance, Zoom-in-Mode (OML1BRVZ) Version-3 product contains geo-located Earth view spectral radiances from the VIS detectors in the wavelength range of 349 to 504 nm using spectral and spatial zoom-in measurement modes. In zoom-in measurement mode, OMI observes 60 ground pixels (13 km x 24 km at nadir) across the swath. Each file contains data from the day lit portion of an orbit (~60 minutes) and is roughly 190 MB in size. There are approximately 14 orbits per day. OMI performs spatial zoom-in measurements one day per month. For that day, this product also contains VIS measurements that are rebinned from the spatial zoom-in measurements. The lead algorithm scientist for this product is Dr. Marcel Dobber from the Royal Netherlands Meteorological Institude (KNMI).The OML1BRVZ files are stored in the HDF4 based EOS Hierarchical Data Format (HDF-EOS). The radiances for the earth measurements (also referred as signal) and its precision are stored as a 16 bit mantissa and an 8-bit exponent. The signal can be computed using the equation: signal = mantissa x 10^exponent. For the precision, the same exponent is used as for the signal.
OMI/Aura Aerosol product Multi-wavelength Algorithm Zoomed 1-Orbit L2 Swath 13x12km V003 (OMAEROZ) at GES DISC
The reprocessed OMI/Aura Level-2 Zoomed Aerosol data product OMAEROZ at 13x12 km resolution have been made available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access in March 2012. There are two Level-2 Aura OMI aerosol products OMAERO and OMAERUV. The OMAERUV product uses the near-UV algorithm. The OMAERO (13x24 km resolution) and OMAEROZ (13x12 km resolution) is based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. The multi-wavelength retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAEROZ products contain Aerosol Optical Depths, Single Scattering Albedo, Aerosol Type, Aerosol Layer Height, and other intermediate and ancillary parameters and geolocation information.The OMAEROZ files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). OMAEROZ data files are based on Zoomed Level 1B radiance observations which are made once a month. Thus there is one day of zoomed data (approximately 14 orbits) per month. The maximum file size for the OMAEROZ data is about 11 Mbytes.A Readme document containing brief algorithm description and known data quality related issues and file specifications are provided by the OMAERO Algorithm lead.
OMI/Aura Level 1B UV Zoom-in Geolocated Earthshine Radiances V004 (OML1BRUZ) at GES DISC
The Aura Ozone Monitoring Instrument (OMI) Level 1B (L1B) Geolocated Earthshine UV Radiance, Zoom-mode (shortname OML1BRUZ) Version 4 product contains geolocated Earth view spectral radiances from the UV detectors in the wavelength range of 264 to 383 nm taken in the global measurement mode. In the zoom-in mode, OMI observes 60 ground pixels (13 km x 12 km at nadir) across the swath (~750 km width) for each of the 557 channels of Band 2 (307-383 nm) and 30 ground pixels (13 km x 24 km at nadir) across the swath (~2600 km) for the 159 channels of Band 1 (264-311 nm). There are approximately 14 files of orbital data per day. Each file contains data from the daylit portion of an orbit and is roughly 210 MB in size. This OML1BRUZ zoom-in mode product is only available about once a month. The data in the OML1BRUZ files are stored in the Network Common Data Form (netCDF) format. The lead algorithm scientist for the OMI Level 1 products is Dr. Quintus Kleipool of the Royal Netherlands Meteorological Institude (KNMI).
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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.