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10,016 results for “Observation”
Analysis of Subthreshold Binary Black Hole Merger Candidates in LIGO O1 and O2 Observing Runs
<p>Posterior datasets and figure creation code for "Analysis of Subthreshold Binary Black Hole Merger Candidates in LIGO O1 and O2 Observing Runs". </p> <p>Abstract: </p> <p>This study uses data from the LIGO Hanford and Livingston detectors (Abbott et al. 2019) to investigate binary black hole (BBH) merger candidates. 19 candidates were reviewed in total, each having been proposed by either the Institute of Advanced Study (Venumadhav et al. 2019; Zackay et al. 2019a) or the second Open Gravitational-wave catalog (Nitz et al. 2019). Triggers were categorised as significant or insignificant based on studies of posterior distribution consistency with the original detections, coherence tests, and q-transforms. Of the 19 candidates, 14 were identified as significant. Further analysis attempts to identify the formation models that produced each BBH event, such as primordial or hierarchical models. Spin population analysis was one such method used. The method implemented for spin population analysis favoured an isotropic distribution of the effective spin, which in turn could cause the results to favour hierarchical merging. This could offer some explanation to the four candidates identified in the mass gap, the range of masses for which no black holes have been detected, which was proposed by Fishbach & Holz (2017) and has so far been confirmed by LIGO.GW170304 and GW170425, as well as GW170123 and GW170727, warrant further investigation as they could be strongly lensed by a galaxy or galaxy cluster, due to similarities in the calculated parameters.GW170104A requires further investigation as q-transforms showed signal in both detectors, indicating the trigger is of astrophysical origin; however, the IMRPhenomv2 waveform has not correctly modelled the signal.</p>
Dataset related to the article "High sensitivity C-reactive protein and acute kidney injury in patients wit acute myocardial infarction: a prospective observational study"
<p>This record contains raw data related to the article "High sensitivity C-reactive protein and acute kidney injury in patients wit acute myocardial infarction: a prospective observational study"</p> <p><strong>Abstract:</strong> Background. Accumulating evidence suggests that inflammation plays a key role in acute<br> kidney injury (AKI) pathogenesis. We explored the relationship between high-sensitivity C-reactive<br> protein (hs-CRP) and AKI in acute myocardial infarction (AMI). Methods. We prospectively included<br> 2,063 AMI patients in whom hs-CRP was measured at admission. AKI incidence and a clinical<br> composite of in-hospital death, cardiogenic shock, and acute pulmonary edema were the study<br> endpoints. Results. Two-hundred-thirty-four (11%) patients developed AKI. hs-CRP levels were<br> higher in AKI patients (45 87 vs. 16 41 mg/L; p < 0.0001). The incidence and severity of AKI, as well<br> as the rate of the composite endpoint, increased in parallel with hs-CRP quartiles (p for trend <0.0001<br> for all comparisons). A significant correlation was found between hs-CRP and the maximal increase<br> of serum creatinine (R = 0.23; p < 0.0001). The AUC of hs-CRP for AKI prediction was 0.69 (p < 0.001).<br> At reclassification analysis, addition of hs-CRP allowed to properly reclassify 14% of patients when<br> added to creatinine and 8% of patients when added to a clinical model. Conclusions. In AMI,<br> admission hs-CRP is closely associated with AKI development and severity, and with in-hospital<br> outcomes. Future research should focus on whether prophylactic renal strategies in patients with<br> high hs-CRP might prevent AKI and improve outcome.</p>
Exploring the EEG mu rhythm associated with observation and execution of a goal-directed action in 14-month-old preterm infants
<p>Raw data of the study "Exploring the EEG mu rhythm associated with observation and execution of a goal-directed action in 14-month-old preterm infants" The main aim of the present study was to investigate whether the MNS activity is associated with prematurity. We compared the mu rhythm activity in preterm (PT) and full-term (FT) 14-month old infants during an action observation/execution (AO/AE) task. Mu rhythm desynchronization was computed over frontal, central, parietal and occipital regions. Both groups showed mu rhythm suppression in all the scalp regions during action execution. Different desynchronization patterns emerged during action<br> observation. Specifically, FT infants showed mu suppression in the right frontal, bilateral parietal and occipital regions; whereas PT infants exhibited mu suppression only in the right parietal region. Overall, these preliminary findings indicate that an atypical extra uterine experience might have an impact on the MNS activity.</p>
Insights from Synthetic Star-forming Regions: Synthetic dataset "observed" in IRAC1, IRAC2 & MIPS1 at 1 to 15 kpc
<p>Synthetic dataset "observed" in IRAC1, IRAC2 & MIPS1 at 1 to 15 kpc for 3 different orientations. The meaning of the abbreviations in the file names is the same as described in the appendix of Koepferl et al. (2016; https://arxiv.org/abs/1603.02270). </p> <p> </p> <p>Please cite the following papers: </p> <p>http://adsabs.harvard.edu/abs/2017ApJ...849….3K<br> http://adsabs.harvard.edu/abs/2017ApJS..233....1K</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (d0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (d0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (d0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The d0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of d0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 185-361)
<p>This dataset includes the second half of the 8-day climatology fields (z0s, DOY 185-361) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (z0s, DOY 001-177)
<p>This dataset includes the first half of the 8-day climatology fields (z0s, DOY 001-177) covering years 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025). </p> <p>The z0s fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0s are meters, with 255.0 referring to no-data.</p>
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: a Fusion of MODIS and ICESat-2 Observations (long-term per-pixel averages)
<p>This dataset includes long-term per-pixel (z0t and d0t) climatology fields for 2003-2019 for the global land surface (90N - 60S) at 500-m spatial resolution as described in Borak et al. (2025) as well as the long-term land cover map used to derive per-class information. </p> <p>The z0 and d0 fields are formatted as 36000 lines by 86400 pixels of 32-bit floating-point binary data, with the first observation corresponding to the upper-left corner of the field. Projection is sinusoidal, and conforms to the same parameters as Collection 6+ 500-m MODIS products (radius of sphere = 6371007.181 m). Units of z0 and d0 are meters, with 255.0 referring to no-data.</p> <p>The land cover field has identical consists of the long-term MODIS land cover classification (IGBP legend). Its spatial characteristics are identical to the roughness fields, but data are formatted as unsigned characters (i.e., 8-bit unsigned integers) with no-data and water set to 255.</p> <p>All files are compressed with gzip and packaged with tar.</p>
Daily 10-m wind speed observation dataset CN05.1 over China
<p>The daily 10-m wind speed observation dataset CN05.1, which covers the period from 1961 to 2020, with horizontal resolution of 0.25° × 0.25° (latitude × longitude). This dataset was developed by Jia Wu from National Climate Center, China Meteorological Administration.</p> <p>References: Jia Wu, Xue-Jie Gao. A grided daily observation dataset over China region and comparison with the other datasets. <em>Chinese J. Geophys. </em>(in Chinese), 2013, 56(4): 1102-1111, doi: 10.6038/cjg20130406.</p> <p> </p>
Lake Geneva Observational data for 2019
<p>Observational data for Lake Geneva for the whole year 2019, combining BAFU, Buchillon, LeXPLORE, remotely sensed LSWT, and GE3/SHL2 measurements (temperature/velocity/light attenuation).</p> <p>As some of the data does not belong to us, we cannot openly publish the dataset.</p>
Supplementary Material for Munaretto et al. Multiband photometry of Martian Recurring Slope Lineae (RSL) and dust-removed features at Horowitz crater, Mars from TGO/CaSSIS color observations
<p>Supplementary Material for Munaretto et al. Multiband photometry of Martian Recurring Slope Lineae (RSL) and dust-removed features at Horowitz crater, Mars from TGO/CaSSIS color observations. </p> <p>See the included README file for further information.</p>
A contribution to real-time space weather monitoring based on scintillation observations and IoT
<p>Here, all field measurements acquired for the article entitled: ''A contribution to real-time space weather monitoring based on scintillation observations and IoT'', by Santos Freitas et al (2022) in Advances in Space Research are made available. The Scintapp is also available for download. Details on the data format can be found in section 2 of the aforementioned article.</p>
Mooring observation data in the Yellow Sea
<p>This dataset contains the measured velocity at the mooring station in the Yellow Sea. It is a supplementary of the manuscript "<strong>Observations of prevailing internal solitary waves between offshore islands in the northern Yellow Sea during summer</strong>". Please let me know if you need any more information</p>
Seismic Data from Temporary Seismic Observation in the Northeast Noto Peninsula, Central Japan
<p>This seismic data is a part of a comprehensive study of ongoing seismic activity in the northeastern part of the Noto Peninsula, Central Japan, sponsored by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) Japan.</p>
Observed Upper Deep Branch of the Pacific Meridional Overturning Circulation North of New Guinea
<p>This dataset contains velocity and potential temperature data observed by the mooring in the deep channel north of New Guinea. It is supplementary of the paper "<strong>Observed Upper Deep Branch of the Pacific Meridional Overturning Circulation North of New Guinea</strong>" submitted to the <em>Journal of Physical Oceanography</em>. Please let me know if you need any more information.</p>
The observed data of groundwater of 2008 in mainland China
<p>This file is the observed data of groundwater of 2008 in mainland China, which include the groundwater temperature and water level. There are about 300 stations.</p>
Datasets of nomalous phenomenon of buildings in regulating urban climate from observations in Beijing, China
<p> </p> <p>1. This is the dataset described by the paper "New evidences on anomalous phenomenon of buildings in regulating urban climate from observations in Beijing, China" submitted to Earth and Space Science(ESS).<br> 2. The dataset has three subsets, including diurnal air temperature range(DTR), land surface temperature(LST) and radiation flux(FLux).<br> 3. The dataset contains two observation sites. One is located in the Olympic Forest Park, Chaoyang District (116°24E, 40°01N). The other observational site representing building surfaces is located in the residential area of Southern Kexue Yard (116°22E, 39°59N), with a straight distance of 4.1 km from the Olympic Forest Park site.<br> 4. If you have any questions, please contact Wenhui Kuang (kuangwh@igsnrr.ac.cn).</p>
SYSTACT CyTOF dataset associated with Multiomics approaches disclose very-early molecular and cellular switches during insect-venom allergen-specific immunotherapy: an observational study
<p>This dataset contains all the raw mass cytometry (CyTOF) fcs files associated with Pogorelov et al. 'Multiomics approaches disclose very-early molecular and cellular switches during insect-venom allergen-specific immunotherapy: an observational study', <em>Nature Communications</em>, 2024, in Press. The dataset contains all the raw fcs files generated by CyTOF analysis of 199 time-series samples including ~200 million of deeply characterized immune cells, either from patients with insect-venom allergy or patients with pollen allergy following allergen-specific immunotherapy (AIT) or from healthy controls (HC), who did not receive any AIT or other immunotherapy. As specified in the manuscript, we sampled different individuals up to seven times (0h, 8h, 24h, Day 7, Week 2, Week 6 and Week 12) over a three-month period. All the samples from insect-venom allergy patients are stored in the zipper folder called "Venom" and all the samples from pollen allergy patients are in the zipper folder called "Pollen" while all the samples from HC are placed in the zipper folder called "Control". We also provide the following annotation files (metadata) to help the readers to better understand, validate and re-analyze our immunological dataset.</p> <p>1, In addition to the Supplementary Tables in our manuscript, we also attached one Word table file mapping the 36 specific metal isotypes and the specific Ab target markers.</p> <p>2, The Excel file with the list of 199 samples, showing the correct group and time point information (of note, the manually input sample information in the file name might be wrong for some samples). The correct time point information is in the column "Timepoint Detail" and "Timepoint Final".</p> <p>Associated with these raw fcs files, our processed results of all the CyTOF data are deposited in another webpage. Our large-scale interactive interlinked immunological Data resource (i3Dare) allows investigators to more effectively explore or reuse our immunological datasets of each immune subset from each participant at each time point (please refer to <a href="https://public.tableau.com/app/profile/lihpublicdata/viz/i3Dare_SYSTACT_Database/SYSTACTHome">https://public.tableau.com/app/profile/lihpublicdata/viz/i3Dare_SYSTACT_Database/SYSTACTHome</a>). OF note, to further protect privacy, the pseudoIDs within groups in i3Dare were re-labelled again. </p> <p><strong>Please read the accompanying information/metadata files, our main manuscript and Supplementary Information, our processed data on the i3Dare webpage and the published Source Data together with the raw fcs files in order to reproduce our published results.</strong></p>
Dataset of observed streamflow and calculated base flow, groundwater runoff and groundwater discharge of the Zhizdra River, Russia (1958–2016)
<p>This dataset accompanies the paper, titled “A physically based model of a two-pass digital filter for groundwater runoff separation from streamflow time series”, submitted to Water Resources Research.</p> <p>The dataset includes the daily river runoff of the Zhizdra River, Russia, during 1958–2016. Using this dataset, we validate the proposed two-pass digital filter model to separate groundwater runoff from streamflow. This dataset also includes the calculated base flow, groundwater runoff and groundwater discharge to the Zhizdra River, Russia, during 1958–2016.</p>
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.