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59 results for “observation process”
Processed glider data: 9 months of hydrographic and ADCP observations in the Gulf of Oman.
<p>68 repeat transects and 2 virtual moorings covering a spring/neap cycle collected by a SeaExplorer glider with T, S, O2, Chl, Optical backscatter, PAR and ADCP data in the Gulf of Oman. Dataset collected as part of the ONR Global project "Shelf slope dyanmics in the Sea of Oman: How submesoscale processes control food and water security". The glider was deployed from the north shore of Oman into the Gulf of Oman, sampling down to 1000m in the oxygen minimum zone.</p> <p> </p> <p>File and variable metadata included in the netCDF files.</p> <p> </p> <p>sea057_M##.ad2cp.#####.nc : Raw ADCP data provided in Nortek .nc format. (version 1.0)</p> <p>SEA057_glider.nc : SeaExplorer data timeseries QC'd and processed into a 1Hz timeseries. (version 1.0)</p> <p>SEA057_ADCP_v2.nc : ADCP data fully processed, binned (2 dbar) and referenced, and then reprojected back onto a timeseries. ADCP data processed as per https://github.com/bastienqueste/gliderad2cp . (version v3)</p> <p> </p>
Nearshore high-frequency temporal water quality observations and process-based modeling of aquatic ecosystem metabolism in Lake Tahoe completed by members of the Blaszczak Lab at the University of Nevada Reno, 2021-2023
The overarching goal of this project was to develop a process-based understanding of how watershed-to-lake connections drive nearshore productivity dynamics in a large oligotrophic mountain lake (Lake Tahoe). We addressed this goal through a combined approach of high-frequency sensor deployment and maintenance, ecosystem metabolism modeling, laboratory incubations, and routine monitoring of water chemistry and other parameters. The data we collected as part of this project and the ecosystem metabolism estimates we generated demonstrate how variable ecosystem productivity is in time and space in the nearshore of Lake Tahoe. Although maintenance of the sensor arrays during the exceptional winter of 2023 was challenging, we were able to capture the data necessary to estimate a complete time series of metabolic activity across two years with very different hydroclimatic conditions. Throughout this project we accomplished the following: 1. We generated over two years of daily estimates of ecosystem metabolism (gross primary productivity, ecosystem respiration, and net ecosystem productivity) from multiple locations on both the east and west shores of the lake and from areas in close proximity to and far away from stream water inflows. 2. We measured ammonium (NH4+) and nitrate (NO3-) concentrations in surface water samples from both Glenbrook and Blackwood creeks and the nearshore of Lake Tahoe for over two years. 3. We quantified rates of NH4+ and NO3- uptake in benthic samples of the dominant substrate type collected during peak streamflow, the receding limb, and baseflow conditions in 2023 from multiple locations in the nearshore using established laboratory incubation methods. 4. Finally, we used a combination of time series models and structural equation modeling to integrate our results and improve understanding of the direct and indirect effects of hydroclimatic variability on observed patterns in ecosystem metabolism in the nearshore. See this git code repository
Data for "Three-Dimensional Broadband Interferometric Mapping and Polarization (BIMAP-3D) Observations of Lightning Discharge Processes" by Shao et al.
<p>Data set for manuscript of “Three-Dimensional Broadband Interferometric Mapping and Polarization (BIMAP-3D) Observations of Lightning Discharge Processes” by Shao et al. submitted to Journal of Geophysical Research-atmosphere</p>
The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation dataset
<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center Jülich. TRIPEx took place at the Jülich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016. During this experiment, the X-, Ka- and W-band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide the level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.<br> </p>
The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (version 2)
<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center Jülich. TRIPEx took place at the Jülich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016. During this experiment, the X, Ka and W Band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.</p>
Processed data used for JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations"
<p>This is the processed dataset used in the JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations" by Xiao Ge.</p> <p>Please contact the author (gexiao@tamu.edu) for all the original/processed outputs of R-CESM, and use the following original papers as citations.</p> <p>The dataset used in this research includes:</p> <p>1. Loop Current Dynamics 2009-2011: LC_*.nc is the processed (reorganized) data for each in-situ station, * represents their station ID</p> <ul> <li>https://digital.library.unt.edu/ark:/67531/metadc955416/</li> <li>https://www.sciencedirect.com/science/article/pii/S0377026516301348?via%3Dihub</li> <li>https://search.dataone.org/view/%7BBD2513E6-3B34-4B7C-BCB9-3C4ED5E8D0FB%7D</li> </ul> <p>2. Regional Community Earth System Model, R-CESM: <a href="https://zenodo.org/api/records/13932074/draft/files/h.nc/content" target="_blank" rel="noopener noreferrer">h.nc</a> is the bathymetry data of R-CESM; cmpr_*.nc files are provided as examples of the original R-CESM outputs; pvsf_prho_*.nc are the processed (subsampled at the target region and interpolated on potential density layers, derived stream function, potential vorticity, and relative vorticity) R-CESM outputs used in this research; and <a href="https://zenodo.org/uploads/13932074" target="_blank" rel="noopener noreferrer">LC_pv_40hlp_2013.nc</a> is the example of organized processed R-CESM (pvsf_prho_*.nc files) containing potential vorticity and relative vorticity for figures plotting</p> <ul> <li>https://journals.ametsoc.org/view/journals/bams/102/9/BAMS-D-20-0024.1.xml?tab_body=fulltext-display</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
Explanation of Plate I. Figure 1.—Left tibia of Ornithomimus velox, Marsh; A, front view; b, distal end; c, transverse section. Figure 2.—Left metatarsals of same specimen; A, front view; b, proximal ends; c, transverse section; d, distal ends. Figure 3.—Phalanges of second digit of same foot; front view, a, first phalange; b, second phalange; c, third, or terminal phalange. Figure 4.—Left metacarpals of same species, perhaps of smaller individual; front view. Figure 5.—Left tibia of young Ostrich (Struthio camelus, Linn.); a, front view; b, distal end. The separate calcaneum was first observed by the writer's assistant, Dr. G-. Baur, who prepared the specimen. Figure 6.—Left metatarsals of young turkey (Meleagris gallipavo, Linn.); a, front view; b, proximal ends. a, astragalus; as, ascending process of astragalus; c, calcaneum; f, fibula; f' face for fibula; II, second metatarsal; III, third metatarsal; iv, fourth metatarsal. Figures 1-4 are one-third natural size, and figures 5 and 6, one-half natural size. in Description of new dinosaurian reptiles
Explanation of Plate I. Figure 1.—Left tibia of Ornithomimus velox, Marsh; A, front view; b, distal end; c, transverse section. Figure 2.—Left metatarsals of same specimen; A, front view; b, proximal ends; c, transverse section; d, distal ends. Figure 3.—Phalanges of second digit of same foot; front view, a, first phalange; b, second phalange; c, third, or terminal phalange. Figure 4.—Left metacarpals of same species, perhaps of smaller individual; front view. Figure 5.—Left tibia of young Ostrich (Struthio camelus, Linn.); a, front view; b, distal end. The separate calcaneum was first observed by the writer's assistant, Dr. G-. Baur, who prepared the specimen. Figure 6.—Left metatarsals of young turkey (Meleagris gallipavo, Linn.); a, front view; b, proximal ends. a, astragalus; as, ascending process of astragalus; c, calcaneum; f, fibula; f' face for fibula; II, second metatarsal; III, third metatarsal; iv, fourth metatarsal. Figures 1-4 are one-third natural size, and figures 5 and 6, one-half natural size.
Fig. 4 in Toward a better understanding of habituation process to human observer: A statistical approach in Macaca leonina (Primates: Cercopithecidea)
Fig. 4. Proportions of age-sex classes recorded during scan samples during partial, advanced, and full habituation stages. Chi-squared tests were performed for each habituation stage with the theoretical results based on troop demography (NM.= 14, NF. = 42, NSub-A. = 10, NJuv. = 77): adjusted residuals (dots) were significant when their absolute value exceeded 2.
Fig. 3 in Toward a better understanding of habituation process to human observer: A statistical approach in Macaca leonina (Primates: Cercopithecidea)
Fig. 3. Posterior probability distributions of movement, social, inactivity, and feeding behaviour observations for each habituation stage (i.e., partial, advanced, and full habituation) according to age-sex class (i.e., adult male, adult female, sub-adult, and juvenile), computed with the multinomial logit model.
Fig. 1 in Toward a better understanding of habituation process to human observer: A statistical approach in Macaca leonina (Primates: Cercopithecidea)
Fig. 1. Progress of macaque detection based on the number of days with encounters and the number of days in the field, and evolution of the search effort per month over the five habituation stages: early (1), minimal (2), partial (3), advanced (4), and full (5).
Fig. 2 in Toward a better understanding of habituation process to human observer: A statistical approach in Macaca leonina (Primates: Cercopithecidea)
Fig. 2. Cumulative duration of encounters per day, while following the Sakaerat troop (N = 108 days of tracking), during the early (Stage 1), minimal (Stage 2), partial (Stage 3), and advanced (Stage 4) habituation stages. Full habituation (Stage 5), corresponding to full and consecutive days of tracking, is not presented in the figure.
Fig. 5 in Toward a better understanding of habituation process to human observer: A statistical approach in Macaca leonina (Primates: Cercopithecidea)
Fig. 5. Adult males (left and right pictures) and a juvenile male (central picture) from the Sakaerat troop performing puckering behaviour.
Forecasts, score summary files, target observational data and meteorological driver files to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen"
<p>This data publication includes raw ensemble forecast output (forecasts.zip), as well as summary score files (scores.zip) for process-based forecasts produced with the Forecasting Lake and Reservoir Ecosystems (FLARE) framework. In addition, it includes scores for climatology (climatology_scores.csv) and random walk (RW_scores.csv) null forecasts, formatted observational data of target variables (sunp-targets-insitu.csv), and meteorological driver files required for analysis to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen". Forecasts were made of water temperature and dissolved oxygen at Lake Sunapee, NH in 2021 and 2022.</p>
Magnetic field enhancements in the interplanetary solar wind: Diverse processes manifesting a uniform observation type?
<p>Interlaced magnetic flux ropes are a subject of investigation in various space environments, including the solar corona, interplanetary solar wind, and magnetosheath. In this study, we utilize a Hall Magnetohydrodynamics (MHD) model to replicate these interactions within selected regions. By employing plasma flow to propel two flux ropes of various parameters towards each other, we examine the effect of their relative helicity on the ensuing process. Our simulations, coupled with vector analysis, found the existence of flux ropes with opposing helicity along their axes (counter-helical) in some of the resultant interactions. These findings underscore the need to identify and study counter-helical flux ropes in space. The study presented here contributes new comprehension of space plasma dynamics and new insights into the solar wind in control of space weather.</p>
Data for the publication: Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations
<p>This repository contains the data and results associated to the publication submitted entitled "Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations".</p> <p>The results and data contain:</p> <ul> <li>Raw and processed ASTER DEM time series data stored in netcdf format (<em>Hala_surges_aster**.nc</em>): </li> </ul> <ol> <li>Raw DEM stack composed of 56 ASTER DEM.</li> <li>Processed DEM stacks generated by LOWESS-ALPS-REML workflow in each step.</li> </ol> <ul> <li>Multi-temporal elevation change maps stored in geotiff format:</li> </ul> <ol> <li>multi-temporal elevation change results calculated from different DEMs during different period (<em>Hala_surges_[sensor]_[period]_dh_final.tif</em>).</li> <li>Elevation difference map of SRTM-X and SRTM-C DEMs for estimation penetration depth difference ( <br><em>strm-c_x_n37_39_e96_e98_pentration_dh_final.tif</em>)</li> </ol> <ul> <li>Flow velocity time-series result processed by TICOI package stored in netcdf format:</li> </ul> <ol> <li>Irregular-sampling time-series inverted flow velocity results, represted by pixel-wise cumulative displacements ( <br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_invert_ticoi.nc</em>)</li> <li>Regular-sampling time-series flow velocity results, interpolated to 30 days interval from the inverted results ( <br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_interp_ticoi.nc</em>)</li> </ol>
Processed model output and observational products used in `Observed winds crucial for September Arctic sea ice loss'
<p>Processed model output from wind-nudging experiments used to investigate Arctic sea ice loss. Also includes processed observational data shown in the manuscript.</p> <p> </p> <p>For further details, see </p> <p>Roach, L. A and Blanchard-Wrigglesworth E. (2022). Observed winds crucial for September Arctic sea ice loss. Accepted at Geophysical Research Letters</p>
Processed ground observation and WRF-CAMQ data for Greater Bay Area, 2015-2021
<p>The pre-processed training and testing dataset for the paper <em>Development of an LSTM-Broadcasting deep-learning framework for regional air pollution forecast improvement. </em>The format of data is compatible with <a href="https://github.com/jvhs0706/regional-forecast-new">the official implementation</a>.</p>
Processed data for the study on "Observation of site-selective chemical bond changes via ultrafast chemical shifts"
<p>This repository contains the underlying data for the paper entitled "Observation of site-selective chemical bond changes via ultrafast chemical shifts". The uploaded data are preprocessed data measured at the LCLS SLAC facility. Each individual file contains the measurements at a set delay time and spectrometer setting on a shot-by-shot basis.</p> <p>The files contain the following keys:</p> <pre>['Ebeam_energy_MeV', 'Electron_orbit_probe_x', 'Electron_orbit_probe_y', 'Electron_orbit_pump_x', 'Electron_orbit_pump_y', 'Fiducial', 'Fit_quality', 'Gas_monitor_mJ', 'Group', 'N_electrons', 'Photon_energy_FEL_eV', 'Probe_energy_xtcav', 'Probe_pulse_energy_mJ', 'Probe_width_fs', 'Pump_energy_xtcav', 'Pump_pulse_energy_mJ', 'Pump_width_fs', 'TOF_CO_yield', 'TOF_Ne_yield', 'Time_delay_XTCAV']</pre> <p>Description of the individual entries is found in the supplementary materials of the publication. The following table assigns the time delay and measure electron kinetic energy for each dataset.</p> <table> <tbody> <tr> <td>Time delay</td> <td>Ek = 234eV</td> <td>Ek = 220eV</td> <td>Ek = 210eV</td> </tr> <tr> <td>40fs</td> <td>Run_210</td> <td>Run_212</td> <td>Run_213</td> </tr> <tr> <td>20fs</td> <td>Run_231</td> <td>Run_236</td> <td>Run_235</td> </tr> <tr> <td>15fs</td> <td>Run_239</td> <td>Run_242</td> <td>Run_241</td> </tr> <tr> <td>10fs</td> <td>Run_238</td> <td>Run_233</td> <td>Run_234</td> </tr> <tr> <td>5fs</td> <td>Run_228</td> <td>Run_226</td> <td>Run_225</td> </tr> <tr> <td>0</td> <td>Run_221</td> <td>Run_223</td> <td>Run_224</td> </tr> <tr> <td>-5fs</td> <td>Run_217</td> <td>Run_219</td> <td>Run_220</td> </tr> </tbody> </table> <p> </p>
Experimental datasets on "Real-time Observation of sub-100-fs Charge and Energy Transfer Processes in DNA Dinucleotides"
<p>Experimental datasets referring to the manuscript entitled "Real-time Observation of sub-100-fs Charge and Energy Transfer Processes in DNA Dinucleotides"</p>
Dataset used in Kittel et al., 2017 (https://doi.org/10.5194/hess-2017-549), including model files and processed remote sensing observations (CryoSat-2 radar altimetry and GRACE total water storage)
<p>Dataset used in</p> <p>Kittel, C. M. M., Nielsen, K., Tøttrup, C., Bauer-Gottwein, P., 2017.Informing a hydrological model of the Ogooué with multi-mission remote sensing data. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-549</p> <p>The dataset contains</p> <p>Model files:</p> <ul> <li>River delineation of the Ogooué river based on the SRTM 3 arc-second DEM </li> <li>Climate input data for the Ogooué model subbasins (TRMM and FEWS-RFE precipitation and ECMWF temperature)</li> <li>Parameter files</li> </ul> <p>Processed remote sensing data:</p> <ul> <li>CryoSat-2 satellite altimetry data over the Ogooué River from July 2010 to February 2015</li> <li><strong> </strong>Water mask derived from Sentinel-1 SAR, used to filter CryoSat-2 data</li> <li>GRACE TWS time series for the Ogooué basin</li> </ul> <p>The data is provided in a .zip file with a README.txt file providing additional information and details on the data, including where to obtain similar/original datasets.</p> <p>(c) Author(s) and Technical University of Denmark (DTU) 2018</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
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.