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10,016 results for “Observation”
CHEESEHEAD CLAMPS observations
<p>The Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD) experiment was conducted near Falls Park, Wisconsin in mid-summer to early fall 2019 (Butterworth et al., 2021). Primarily sponsored by the National Science Foundation, additional support from NOAA enabled the concurrent deployment of CLAMPS1 and CLAMPS2 at Lakeland and Prentice airports, respectively, for approximately five weeks of data collection. CHEESEHEAD also included radiosonde launches near the WLEF-TV 400-m very tall tower site, which was approximately 45 km away from both CLAMPS locations (north of Prentice, west of Lakeland) and many other instruments. There are additional observations after this time, but the main period of quality data is 19 September 2019 to 10 October 2019.</p> <p>These data can be accessed on the <a href="https://data.nssl.noaa.gov/thredds/catalog/FRDD/CLAMPS/campaigns/PBLtops/catalog.html">NOAA National Severe Storms THREDDS Archive</a>. The readme contained here provides information about how to access and available resources for users. These data are also published in the CHEESEHEAD EOL catalog.</p> <p>The CLAMPS1 (located at Lakeland Airport, 45.92◦ N, 89.73◦ W) DL collected plan position indicator (PPI) scans at 70 ◦ elevation every 20 minutes, and remained in a zenith pointing mode otherwise. The DL provides range-resolved, line-of-sight measurements of radial velocity, intensity (signal-to-noise ratio [SNR]+1), and attenuated backscatter. In the case of PPI scans meant for velocity azimuthal display (VAD) analysis, these data are post-processed to produce profiles of horizontal wind speed and direction. The zenith pointing scans are used for vertical velocity information, and are post-processed to provide turbulence information such as vertical velocity variance. The DL was configured to provide profiles with 18-m vertical spacing. The CLAMPS1 MWR and AERI were both deployed, and thermodynamic profiles as retrieved by the TROPoe physically based algorithm (previous versions known as AERIoe; Turner and Löhnert, 2014) were made available every ten minutes. For different user needs and use cases we provided retrievals using only AERI data, only MWR data, and combining the data from both the AERI and the MWR in the TROPoe retrieval algorithm.</p> <p>The CLAMPS2 facility (located at Prentice Airport, 45.54◦ N, 90.28◦ W) operated similarly, but the DL collected PPIs at 60 ◦ elevation every 5 minutes. The onboard MWR was deployed similarly, but CLAMPS2’s AERI was damaged in transit and did not operate for CHEESEHEAD. As such, CLAMPS2 retrievals are limited to MWR-only. </p> <p><em>Turner, D. D. and Löhnert, U.: Information Content and Uncertainties in Thermodynamic Profiles and Liquid Cloud Properties Retrieved from the Ground-Based Atmospheric Emitted Radiance Interferometer (AERI), Journal of Applied Meteorology and Climatology, 53, 752–771, https://doi.org/10.1175/JAMC-D-13-0126.1, 2014.</em></p>
Fig. 2 in Jenynsia luxata, a new species from Northwestern Argentina, with additional observations of J. maculata Regan and phylogeny of the genus (Cyprinodontiformes: Anablepidae)
Fig. 2. Pelvic girdle of Jenynsia luxata, paratype, male, CI-FML 5465, 27.8 mm SL.
Fig. 3 in Jenynsia luxata, a new species from Northwestern Argentina, with additional observations of J. maculata Regan and phylogeny of the genus (Cyprinodontiformes: Anablepidae)
Fig. 3. Diagrammatic representation of head squamation of Jenynsia luxata.
Supporting information for the paper "Evidence of a new population of weak Terrestrial Gamma-ray Flashes observed from aircraft altitude" by I. Bjørge-Engeland et al.
<p>Supporting data for the paper "Evidence of a new population of weak Terrestrial Gamma-ray Flashes observed from aircraft altitude" by I. Bjørge-Engeland et al. </p>
CRIRES+ reduced spectroscopic observations of WASP-189
<h1>Reduced CRIRES+ spectroscopy observations of WASP-189 from 2022-07-01</h1> <p>This records contains the reduced data as used in the publication of Lesjak et al. 2024 "<em>Retrieving wind properties from the ultra-hot dayside of WASP-189 b with CRIRES+</em>" in press with Astronomy & Astrophysics.</p> <p>The raw data from the CRIRES+ instrument were reduced using the instrument pipeline and the reduction steps are described in the article.</p> <h2>Acknowledgements</h2> <p>If you make use of this data in your research, please cite the Lesjak et al. 2024 article and this record with its DOI (10.5281/zenodo.12663686) and its reference, the bibtex reference is:</p> <pre><code>@dataset{lavail_2024_12663686, author = {Lavail, Alexis}, title = {{CRIRES+ reduced spectroscopic observations of WASP-189}}, month = jul, year = 2024, publisher = {Zenodo}, version = {1.0}, doi = {10.5281/zenodo.12663686}, url = {https://doi.org/10.5281/zenodo.12663686} }</code></pre> <p> Note also that ESO requests an acknowledgement, which in this case would be: "<em>Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 109.23HN.002</em>".</p> <p>This data is released under a Creative Commons Attribution 4.0 International license.</p> <h2>Format of the data</h2> <p>The data are contained in a pickle file. Instructions on how to read pickle files can be found on the python wiki at <a href="https://wiki.python.org/moin/UsingPickle">https://wiki.python.org/moin/UsingPickle</a>:</p> <pre><code>import pickle data = pickle.load(open('wasp189_220630.pickle', 'rb'))</code></pre> <p>The data consists of a dictionary, the keys can be explored with the following command:</p> <pre><code>print(data.keys())</code></pre> <p>The keys are the following:</p> <ul> <li>script_version</li> <li>nodpos</li> <li>rawfilename</li> <li>nodpair</li> <li><strong>wave</strong></li> <li>wave_model</li> <li><strong>spec</strong></li> <li><strong>err</strong></li> <li>snr</li> <li>airmass</li> <li>bjd_tdb</li> <li>berv</li> <li>orders</li> <li>rawheaders</li> <li>slitfunctionFWHM-det1</li> <li>slitfunctionFWHM-det2</li> <li>slitfunctionFWHM-det3</li> </ul> <p>The keys in boldface (<strong>wave</strong>, <strong>spec</strong>, <strong>err</strong>) contain the reduced data, respectively the wavelength (expressed in vacuum in nanometres), the extracted spectrum (in ADU), and the error spectrum (in ADU). The other keys contain metadata and supplementary information as explained below. Each key contains a numPy array. The shape of the arrays can be expressed using three sizes:</p> <ol> <li>n_obs: the number of observations in the dataset</li> <li>n_pix = 2008: the number of pixels in each segment</li> <li>n_orders : the numbers of segment (each spectral order is split over three detectors creating three segments)</li> </ol> <p>The size of each array can be investigated with e.g</p> <pre><code>for key in data.keys(): try: print(key,':', data[key].shape) except: print(key) </code></pre> <p>which results in </p> <pre><code>script_version nodpos : (152,) rawfilename : (152,) nodpair : (152,) wave : (19, 152, 2008) wave_model : (19, 152, 2008) spec : (19, 152, 2008) err : (19, 152, 2008) snr : (19, 152) airmass : (152,) bjd_tdb : (152,) berv : (152,) orders : (19,) rawheaders : (152, 2484, 3) slitfunctionFWHM-det1 : (152, 8, 3) slitfunctionFWHM-det2 : (152, 7, 3) slitfunctionFWHM-det3 : (152, 7, 3) </code></pre> <h2>What's in the data?</h2> <ul> <li>script_version: version number of the python script used to produce the data</li> <li>nodpos: string, ('A' or 'B') the nodding position of the observation</li> <li>rawfilename: string, the filename of the raw science file from the ESO archive </li> <li>nodpair: string, ('pairNN') where NN is the number of nodding pair used in the data reduction: science files are reduced in pair with one nodding 'A' spectrum and one 'B'</li> <li><strong>wave</strong>: array containing the pipeline-derived wavelength solution for the spectrum in nanometers in vacuum<strong><br></strong></li> <li>wave_model: refined and more precise wavelength solution using molecfit fitting the telluric spectrum as explained in Sect. 2.1 of the paper</li> <li><strong>spec:</strong> reduced spectrum in ADU from the CRIRES+ pipeline. The spectra have been divided by the blaze spectrum (extracted spectrum from the flat-field lamp) to rectify the shape of the continuum and simplify spectrum, normalization<strong><br></strong></li> <li><strong>err</strong>: the error spectrum in ADU corresponding to the <strong>spec</strong> (signal to noise ration can be computed using spec/err)<strong><br></strong></li> <li>snr: median signal to noise ratio for each segment/observation</li> <li>airmass: airmass for each observation taken from the raw file header (mean of airmass at start and end of each exposure)</li> <li>bjd_tdb: bjd_tdb (barycentric julian date expressed in temps dynamique barycentrique) time at the middle of the exposure computed with barycorrpy (https://github.com/shbhuk/barycorrpy)</li> <li>berv: berv correction at middle of exposure computed with barycorrpy</li> <li>orders: string (D-OO) identifying the segment where D is the detector number (1-3) and OO is the order number (02-08)</li> <li>rawheaders: the fits header from the raw science files</li> <li>slitfunctionFWHM-det1: contains information on the FWHM of the slit function taken from the reduced file headers for the orders of detector 1</li> <li>slitfunctionFWHM-det2: same for detector 2</li> <li>slitfunctionFWHM-det3: same for detector 3</li> </ul>
Usable observations over Europe: Evaluation of compositing windows for landsat and sentinel-2 time series
<p>Landsat and Sentinel-2 data archives provide ever-increasing amounts of satellite data. However, the availability of usable observations greatly varies spatially and temporally. Pixel-based compositing that generates temporally equidistant cloud-free synthetic images can mitigate temporal variability, by constructing uninterrupted time series using different compositing windows. Here, we evaluated the feasibility of using compositing windows ranging from five days to one year for 1984-2021 Landsat and 2015-2021 Sentinel 2 time series to derive uninterrupted time series across Europe. We considered separate and joint use of both data archives and analyzed the spatio-temporal availability of composites during each calendar year and pixel-specific growing season across a variety of time windows and hypothesizing data interpolation. Our results demonstrated opportunities and limitations in the available data records to support medium- and long-term analyses requiring uninterrupted time series of composites with sub-annual temporal resolution. Spatial disparities across different compositing windows provide guidance on the feasibility of workflows relying on different data densities and on the challenges in wall-to-wall analyses. The feasibility of consistent time series based on composites with sub-monthly aggregation periods was mostly limited to the combined Landsat and Sentinel-2 archives after 2015, yet in some geographies requires interpolation of up to 50% of data.</p>
Additional figures for "TESS observations of non-Be fast rotators"
<p>This provides the light curves (and their frequency spectra) of all targets studied in "TESS observations of non-Be fast rotators" by Yael Naze, Nikolay Britavskiy, & Jonathan Labadie-Bartz, published by A&A (year 2024, vol 689, id A320). The dotted red line in the frequency spectra corresponds to five times the white+red noise level, used to assess significance (see paper for details).</p>
Literary Reviews Published between 2007 and 2017: România literară, Observator cultural, Cultura, Steaua, Orizont, Vatra, Convorbiri literare
<p>This dataset contains information on all literary reviews published between 2007 and 2017 in the following Romanian literary magazines: România literară, Observator cultural, Cultura, Steaua, Orizont, Vatra, Convorbiri literare, as indexed by the <em>Romanian National Bibliography</em>, curated by the National Library of Romania.</p> <p>This work was supported by a grant given by Babeș-Bolyai University, SRG-UBB, “Popularity, Prestige, Canonicity. The Romanian Literary Field after the EU Integration”, project number SRG-UBB nr. 32894/21.06.2023.</p>
Supporting data for: Ozone Formation Sensitivity to Precursors and Lightning in the Tropical Troposphere Based on Airborne Observations
<p>We provide here the supporting data for our study on ozone formation sensitivity in the upper tropical troposphere based on in situ observations. </p>
SOAR/Goodman Spectrograph Observations of a Transit of WASP-107 b
Open the record for dataset details and reuse information.
In-situ observations of nitrate loss factor for "Estimation method is the primary source of uncertainty in cropland nitrate leaching estimate in China"
<p>This database includes In-situ observations of nitrate loss factor. Details can be found in paper named "Estimation method is the primary source of uncertainty in cropland nitrate leaching estimate in China".</p>
Figs 1-2 in Field observation of the predation of an adult of Podarcis muralis (Laurenti, 1768) (Squamata: Lacertidae) by Mantis religiosa religiosa (Linnaeus, 1758) (Mantodea: Mantidae)
Figs 1-2 – Mantis religiosa religiosa preys Podarcis muralis (Photos L. Spada).
Observed changes in significant wave heights derived from long-term homogenized measurements offshore mainland Portugal
<p>The data set contains statistical estimators of significant height acquired over the last 40 years by wave stations operating on the Portuguese coast; Monthly Mean, Monthly Maximum and the monthly 99, 95, 90, 50 , 10 percentiles</p> <p>The data was calculated based on long-term homogenized 3h series of in-situ significant wave height</p> <p>These buoys have been maintained by the Instituto Hidrografico and constitute one of the longest time series of wave data.</p> <p>Each file correspond to a particular wave station. All files are in ASCII and have the same 9 column format. The heading identify the variables</p> <p>Leixoes_corr_monthly_percentiles.txt - Data acquired by Leixoes buoy: Location 41º 19.00' N 8º 59.00' W, depth app 100 m</p> <p>Sines_corr_monthly_percentiles.txt - Data acquired by Sines buoy: Location 37º 55.27' N 8º 55.73 ' W, depth app 100 m</p> <p>Faro_coor_monthly_percentiles.txt - Data acquired by Faro buoy: Location 36º 54.28' N 7º 53.90' W, depth app 100 m</p> <p> </p>
Figure 3 in Etudes on iurids, I. The orthobothriotaxic pattern of Iuridae, with observations on neobothriotaxy in genus Iurus (Scorpiones: Iuroidea)
Figure 3: Stockwell's (1989) interpretation of trichobothria homology in family Iuridae.
Fig. 2 in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 2.- Location of collection sites, Mallorca, May 2023.
Fig. 3 in Behavioural and feeding observations of some Anthrenus Geoffroy, 1767 species (Coleoptera, Dermestidae) and identification using final larval instar cases
Fig. 3.- Anthrenus angustefasciatus on Cistus monspeliensis, Alcanada, Mallorca.
Fig. 2 in Nesting observation of the Sculptured Resin bee Megachile sculpturalis F. Smith, 1853 (Hymenoptera: Megachilidae) in Bulgaria
Fig. 2. Megachile sculpturalis female, Bulgaria, Varna City, 18.viii.2023.
Fig. 1. A in A few notes on the diet and the copulation of Theba pisana (Müller, 1774) snails: observations on terrarium kept animals
Fig. 1. A pair of copulating Theba pisana hanging from the glass cover of the terrarium.
Data and code for "Experimental Observation of Topological Quantum Criticality" (matfiles, matlab script, and figures)
<p>Matlab code "zenodo_topological_quantum_criticality.m" generates Figure2 and 3 in the main script, and the Figure 2 and 3 in the Supplemental material. The generated figures are saved under folder 'figure', and the datasets used for the generation are saved under folder 'matfiles'. </p> <p>The raw measurement data (approx. 350 GB) will be shared only upon request. Please contact the Integrated Quantum Optics group (head: C. Silberhorn), Paderborn University.</p> <p>This is additional information of the publication arXiv:2301.05428 "Experimental Observation of Topological Quantum Criticality"</p>
ALMA Band 7 observations of G11.92-0.61 MM2
<p>We deposit the final data products underpinning this article:</p> <p>Filamentary mass accretion towards the high-mass protobinary system G11.92-0.61 MM2, Zhang et al. 2024, MNRAS, accepted (available at <a href="https://arxiv.org/abs/2407.19552">arxiv</a>)</p> <p>A detailed description of the data files are provided in README.md.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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