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10,016 results for “Observation”
Air parcels extracted from LES simulations of a deep convective cloud observed during DC3 field campaign
<p>The dataset consists of 500 files describing air parcels retrieved from the simulation of the deep convective cloud event observed on May 29, 2012, during the DC3 field campaign. Values for coordinate (X, Y, Z), velocity components (U, V, W), potential temperature (PTIL), total water content (QT), water vapor (QV), condensate density (QC), precipitation density (QR), net precipitation change (QR_FLUX), relative humidity (RH), buoyancy (BUOY), temperature (T), pressure (P), resolved TKE (KRES), SGS TKE (SGS_TKE), turbulent diffusion (TDIFF) are provided for each parcel at every time step of the simulation.</p>
Mooring observations
<p>Mooring observations. Please see "Determination of tempo-spatial variability of the Indian Equatorial Intermediate Current" for details.</p>
Generated datasets for Yue et al. (2020, Earth and Space Science): "Combining In-situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment"
<p>This archive contains the data sets generated from the research conducted by Yue et al. (2020) titled "Combining In-situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment" published in Earth and Space Science. The method to generated the following data sets is described in Yue et al. (2020) and stored as Matlab .mat files.</p> <p>CombiningTC4_Satellite_eof_cov_mat.mat contains the correlation matrix shown in Figure 1a.</p> <p>TC4_processed.mat contains the correlation matrix shown in Figure 1b.</p> <p>RO_processed.mat contains the correlation matrix shown in Figure 2a.</p> <p>RVOD_processed.mat contains the correlation matrix shown in Figure 2b.</p> <p>ICE_processed.mat contains the correlation matrix shown in Figure 2c.</p> <p> </p> <p> </p>
In situ observation of the phase transition behavior of shocked baddeleyite
<p>TRXRD data and velocity data are deposited here.</p>
The ionospheric scintillation indexes observed by Ultra High Frequency (UHF) band scintillation receiver on 15, 16, and 17 August 2015
<p>The dataset reports the ionospheric scintillation indexes observed by Ultra High Frequency (UHF) band scintillation receiver on 15, 16, and 17 August 2015. Every day's data is saved in a TXT file, whose time resolution is one minute.</p>
Neuromuscular block monitoring by smartphone application (i-TOF© system): an observational pilot study
<p>Dataset of the observational pilot study on Neuromuscular block monitoring by smartphone application (i-TOF© system) compared to TOF-WATCH device.</p> <p>The present study was approved by Ethical Committee (Prot. 18.18 TS ComEt) of the University Hospital Campus Biomedico of Rome.</p>
Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network
<p>Surface ocean DMS concentrations and sea-to-air flux estimated using an Artificial Neural Network model. </p> <p><a href="https://zenodo.org/api/files/3da6a1cf-5a4c-4186-984e-20a3298facfc/DMS_Concentration_monthly_mean.csv?versionId=4dabc517-22c9-4829-84e3-5df97ef8aa74">DMS_Concentration_monthly_mean.csv</a> and <a href="https://zenodo.org/api/files/3da6a1cf-5a4c-4186-984e-20a3298facfc/DMS_Flux_Wang2020.mat?versionId=a5e8de9f-5962-4940-974b-e14731a0c466">DMS_Flux_Wang2020.mat</a> are previous versions based on BGD paper.</p> <p><a href="https://zenodo.org/api/files/3da6a1cf-5a4c-4186-984e-20a3298facfc/DMS_clim_Wang20_v1.mat?versionId=02ca48ed-306e-44da-a406-3ac48f75e811">DMS_clim_Wang20_v1</a>.mat and <a href="https://zenodo.org/api/files/3da6a1cf-5a4c-4186-984e-20a3298facfc/Sea2Air_Flux_Wang20_v1.mat?versionId=6244f1bc-26d1-4f5e-b6ea-93be132bf6d3">Sea2Air_Flux_Wang20_v1.mat</a> are newer versions based on BGD paper revision.</p> <p>PMEL_NAAMES_* data are raw DMS data along with environmental parameters, so interested user can play with the models.</p> <p>The ANN models can be found in the the following repository: <a href="https://github.com/weileiw/ANN-DMS-code">https://github.com/weileiw/ANN-DMS-code</a></p> <p> </p> <p> </p> <p> </p>
Figure 3 from: Cunha MR, Génio L, Pradillon F, Clavel Henry M, Beaulieu S, Birch J, Campuzano FJ, Carretón M, De Leo F, Gula J, Laming S, Lindsay D, Matos FL, Metaxas A, Meyer-Kaiser K, Mills S, Queiroga H, Rodrigues CF, Sarrazin J, Watanabe H, Young R, Young CM (2020) Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton. Research Ideas and Outcomes 6: e54284. https://doi.org/10.3897/rio.6.e54284
Figure 3 Sustained meroplankton observation systems. envisioned approach at regional scale.
Antarctic Circumpolar Current transport through Drake Passage: What can we learn from comparing high-resolution model results to observations?
<p>Datasets for the Journal of Geophysical Research: Oceans publication: "Antarctic Circumpolar Current transport through Drake Passage: What can we learn from comparing high-resolution model results to observations?"</p> <p>[Abstract] Uncertainty exists in the time-mean total transport of the Antarctic Circumpolar Current (ACC), the world’s strongest ocean current. The two most recent observational programs in Drake Passage, DRAKE and cDrake, yielded transports of 141 and 173.3 Sv, respectively. In this paper, we use a realistic 1/12° global ocean simulation to interpret these observational estimates and reconcile their differences. We first show that the modeled ACC transport in the upper 1000 m is in excellent agreement with repeat shipboard acoustic Doppler current profiler (SADCP) transects and that the exponentially decaying transport profile in the model is consistent with the profile derived from repeat hydrographic data. By further comparing the model results to the cDrake and DRAKE observations, we argue that the modeled 157.3 Sv transport, i.e. approximately the average of the cDrake and DRAKE estimates, is actually representative of the time-mean ACC transport through the Drake Passage. The cDrake experiment overestimates the barotropic contribution in part because the array undersampled the deep recirculation southwest of the Shackleton Fracture Zone, whereas the surface geostrophic currents used in the DRAKE estimate yielded a weaker near-surface transport than implied by the SADCP data. We also find that the modeled baroclinic and barotropic transports are not correlated, thus monitoring either baroclinic or barotropic transport alone may be insufficient to assess the temporal variability of the total ACC transport.</p>
Supplementary figure 1. Clinical observations of sheep.
<p>Shown are the combined clinical scores (A&B) and temperatures for sheep (C&D) throughout the experimental infection study. Animals SH01-SH-4 were infected with BTV-14 while animals SH05 and SH06 were uninfected control animals.</p>
Supporting Data for Sagoo et al. GRL: Observationally Constrained Cloud Phase Unmasks Orbitally Driven Climate Feedbacks
<p>This dataset includes CESM climatologies relevant for Sagoo et al.: “Observationally Constrained Cloud Phase Unmasks Orbitally Driven Climate Feedbacks” in Geophysical Research Letters. Data is included for high (HI) and low (LO) obliquity experiments with the default model (OOTB) and with supercooled liquid fraction constrained to satellite observations (SLF1 and SLF2), as described in the manuscript. </p>
Datasets for "Synergistic ground and orbital observations of iron oxides on Mt. Sharp and Vera Rubin ridge"
<p>This repository contains generated datasets used to make figures in "Synergistic ground and orbital observations of iron oxides on Mt. Sharp and Vera Rubin ridge" submitted to the Journal of Geophysical Research: Planets, doi: 10.1029/2019JE006294. This is in accordance with AGU's Data Availability Policy.</p>
Aggregated WRF-Chem outputs in "Evaluation of cloud and precipitation response to aerosols in WRF-Chem with satellite observations"
<p>This dataset contains the aggregated output of WRF-Chem simulations by Zhoukun Liu. </p> <p>The "MOR" in file name denotes the data from simulation which used Morrison scheme and "LIN" denotes the data from simulation which used Lin scheme.</p> <p>In "MOR_110km_core.nc" and "LIN_110km_core.nc", the variables are averaged over the cloudy pixels that have the highest 10% of cloud optical thickness in each 110km scene.</p> <p>In "MOR_110km_incloud.nc" and "LIN_110km_incloud.nc", the variables are averaged over all the cloudy pixels in each 110km scene.</p> <p>"MOR_110km_R.nc" and "LIN_110km_R.nc" contains the precipitaiton characteristics from models for each 110km scene. </p> <p> </p>
The surface ozone observation data of Kunlun station in 2016
<p>The Kunlun Station (80°25'02"S, 77°06'59"E, altitude 4087 m) is located in the DA area, on the summit of the east Antarctic Ice Sheet. The ozone monitor is located near the Dome A observatory far away from the living area. Due to the limitation of energy consumption and transportation conditions, the Thermo 49i ozone monitor cannot be used. At this stage, the portable ozone monitor with low energy consumption can only be used. On the 1st of Jan 2016, we deployed a Model 205 Dual Beam Ozone Monitor during the 33rd Chinese National Antarctic Research Expedition. The Model 205 Dual Beam Ozone Monitor makes use of two detection cells to improve precision, baseline stability, and response time. In the dual beam instrument, UV light intensity measurements I0 (ozone-scrubbed air) and I (unscrubbed air) are performed simultaneously. Combined with other improvements, this instrument is the fastest UV-based ozone monitor on the market, with such small size, weight, and power requirements characteristics (Table 1). Fast measurements are particularly desirable for unattended stations, aircraft and balloon measurements, where high spatial resolution is desired. The Model 205 Dual Beam Ozone Monitor is an Environmental Protection Agency (EPA) federal equivalent method (FEM). <br> The Zhongshan Station (69°22'12"S, 76°21'49"E, altitude 18.5 m) is located at the edge of the east Antarctic Ice Sheet, where we installed a UV absorption near-surface ozone analyser (EC9810A) for long-term near-surface ozone monitoring. The observational frequency was 3 min, and the data were transferred in real time to Beijing. Furthermore, to prevent data losses, a CR1000 data logger was used to record the data output in real time. Every three months, the ozone analyser was calibrated using the EC9811 ozone calibrator, and 5 standard concentrations of ozone gas were generated for each calibration. The calibration concentration and measured concentration underwent correlation analysis, and seasonal calibration results were generated every three months. In 2016, 5 calibrations were made, and the appropriate correlation coefficients (r) were all greater than 0.9995.<br> The Amundsen-Scott Station (89°59'51.19 "S, 139°16'22.41" E, altitude 2835 m) is located at the SP and operated by the United States. The near-surface ozone data were downloaded from the Earth System Research Laboratory Global Monitoring Division under the NOAA (https://www.esrl.noaa.gov/gmd/dv/data).</p>
Dataset used in the paper 'Observation of an unusual negative sprite with sprite current signature'
<p>The dataset here includes optical data of ISUAL, cloud top temperature,and broadband magnetic sferics (LF, VLF) for cases analyzed in the paper "<strong>Observation of an unusual negative sprite with sprite current signature</strong>".</p>
Dataset for Residual Study: Testing Jupiter Atmosphere Models Against Juno MWR Observations
<p>This dataset includes all data values for all 14 figures in paper "Residual study: Testing Jupiter atmosphere models against Juno MWR observations".</p>
Wideband VLF data observed in New Zealand on 26 August 2018
<p>Wideband VLF data observed at Halfway Bush, Dunedin, New Zealand on 26th August 2018.</p>
Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves
<p>dataset of "Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves."</p>
Appendix 1. List of different ethnozoological uses of mammals observed across tribes in Arunachal Pradesh
<p>Many areas of biodiversity rich regions in South Asia are governed by local communities through norms and practices enforced by traditional community institutions. The role of traditional beliefs systems in wildlife conservation in such regions continues to be debated in contemporary conservation discourse. We examined the traditional beliefs and taboos of different tribal communities in the Eastern Himalaya Eco-region and their contribution to natural resource management and biodiversity conservation through semi-structured interviews (<i>n = </i>299) conducted with indigenous communities. Among the 35 threatened mammals of IUCN Red List, 28 received some form of protection from taboos and traditional beliefs. We also explore the relevance of these informal institutions in contemporary society, in the contexts of ongoing socioeconomic changes and global demand for wildlife products. Informal, culturally mediated, self-regulation of communities reliant on natural resources for sustenance provides an opportunity to address the complexities of reconciling human needs with conservation goals.</p>
ALMA Titan wind velocity maps for CH3CN, HC3N and HNC (derived from observations on August 2016 and May 2017)
<p>These FITS files contain wind velocities (in m/s) as a function of angular offset (in RA/dec.) from the center of Titan's disk, derived from ALMA observations of CH3CN, HC3N and HNC in August 2016 and May 2017. We followed the method of Lellouch et al. (2019) to determine radial velocities (along the line of sight) for each gas as a function of spatial coordinate in the ALMA images. This involved extracting individual spectra from the data cubes and fitting the emission lines with Gaussians to determine their Doppler shifts.</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.