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10,016 results for “Observation”
An observed population of intermediate-mass helium stars that have been stripped in binaries - Raw Spectroscopic Data
<p>This repository contains the raw spectroscopic data obtained for the stars described in the manuscript "An observed population of intermediate-mass helium stars stripped in binaries" by Drout, Götberg, Ludwig, Groh, de Mink, O'Grady and Smith. All data was obtained with the Magellan Echellette spectrograph (MagE) on the 6.5-meter Magellan-Baade telescope at Las Campanas Observatory, Chile. We organize the data as follows: </p><ul><li>Calibrations.tar.gz contains relevant calibration files. Specifically, bias frames, red flats, blue flats, and frames that can be used for echelle order-defintion in the MagE pipeline. </li><li>Files of the form Star1.tar.gz, Star2.tar.gz, etc. contain all of the individual science frames for each star that were used to make the final combined spectra published in Drout, Götberg, et al. as well as Thorium-Argon lamps taken immediately before or after each science frame. <br><br> </li></ul>
FIGURE 47 in Observations on the biology of Afrotropical Hesperiidae (Lepidoptera) principally from Kenya. Part 3. Pyrginae: Celaenorrhinini
FIGURE 47. Macrotermes sp. termite mound, near Voi, Jul 1990.
Fig. 2 in Observations of the Biology of Camptocerus Dejean (Coleoptera: Curculionidae: Scolytinae) in Peru
Fig. 2. Damage caused by a feeding male of Camptocerus noel to a leaflet of Protium amazonicum.
NoCORA - Northern Cameroon Observed Rainfall Archive
<p><strong>Description:</strong> The NoCORA dataset represents a significant effort to compile and clean a comprehensive set of daily rainfall data for Northern Cameroon (North and Extreme North regions). This dataset, overing more than 1 million observations across 418 rainfall stations on a temporal range going from 1927 to 2022, is instrumental for researchers, meteorologists, and policymakers working in climate research, agricultural planning, and water resource management in the region. It integrates data from diverse sources, including Sodecoton rain funnels, the archive of Robert Morel (IRD), Centrale de Lagdo, the GHCN daily service, and the TAHMO network.</p><p>The construction of NoCORA involved meticulous processes, including manual assembly of data, extensive data cleaning, and standardization of station names and coordinates, making it a hopefully robust and reliable resource for understanding climatic dynamics in Northern Cameroon.</p><p><strong>Data Sources:</strong> The dataset comprises eight primary rainfall data sources and a comprehensive coordinates dataset. The rainfall data sources include extensive historical and contemporary measurements, while the coordinates dataset was developed using reference data and an inference strategy for variant station names or missing coordinates.</p><p><strong>Dataset Preparation Methods:</strong> The preparation involved manual compilation, integration of machine-readable files, data cleaning with OpenRefine, and finalization using Python/Jupyter Notebook. This process should ensured the accuracy and consistency of the dataset.</p><p><strong>Discussion:</strong> NoCORA, with its extensive data compilation, presents an invaluable resource for climate-related studies in Northern Cameroon. However, users must navigate its complexities, including missing data interpretations, potential biases, and data inconsistencies. The dataset's comprehensive nature and historical span require careful handling and validation in research applications.</p><p><strong>Access to Dataset:</strong> The NoCORA dataset, while a comprehensive resource for climatological and meteorological research in Northern Cameroon, is subject to specific access conditions due to its compilation from various partner sources. The original data sources vary in their openness and accessibility, and not all partners have confirmed the open-access status of their data. As such, to ensure compliance with these varying conditions, access to the NoCORA dataset is granted on a request basis. Interested researchers and users are encouraged to contact us for permission to access the dataset. This process allows us to uphold the data sharing agreements with our partners while facilitating research and analysis within the scientific community.</p><p><strong>Authors Contributions:</strong></p><ul><li>Data treatment: Victor Hugo Nenwala, Carmel Foulna Tcheobe, Jérémy Lavarenne.</li><li>Documentation: Jérémy Lavarenne.</li></ul><p><strong>Funding:</strong> This project was funded by the DESIRA INNOVACC project.</p><p><strong>Changelog:</strong> </p><ul><li>v1.0.2 : corrected interversion in column names in the coordinates dataset </li><li>v1.0.1 : dataset specification file has been updated with complementary information regarding station locations</li><li>v1.0.0 : initial submission</li></ul>
Experimental Observation of Parabolic Wakes in Thin Plates
Open the record for dataset details and reuse information.
Hourly surface ozone observations across China
<p><span>Hourly surface ozone observations across China (2014-2022) obtained from the China National Environmental Monitoring Center (CNEMC; </span><span><a href="https://air.cnemc.cn:18007/"><span>https://air.cnemc.cn:18007/</span></a></span><span>). The file<em> <strong>Station_information.csv</strong></em> lists basic information of the observation stations, such as city location, latitude, longitude, and elevation (m).<strong> </strong>The archive <strong><em>Hourly_surface_ozone.zip</em> </strong>includes columns for date, hour (Beijing time: UTC+8), air pollution type and station codes, with ozone unit being </span><span>μ</span><span>g/m<sup>3</sup>. More latest observation archive could be found at </span><span><a href="https://quotsoft.net/air/"><span>https://quotsoft.net/air/</span></a></span><span>.</span></p>
The Wave Acquisition Stereo System data in support of Directional Breaking Kinematics Observations from 3D Stereo Reconstruction of Ocean Waves
<p>The stereo-image data archived at https://data-dataref.ifremer.fr/stereo/AA_2015/2015-03-05_10-35-00_12Hz/ has been processed with the Wave Acquisition Stereo System (WASS) software and the output is resampled to a regular grid of 20 cm for the computation of Wave Spectrum.</p> <p>The data is in standard Netcdf4 format and include metadata. The python script used to generate this .nc file is available at https://github.com/akaawase-bernard/WASSnc</p> <p>There is a total of 21571 snapshots of the sea surface elevation information.</p>
Fracture Dataset accompanying the manuscript 'Stress and Rock Failure Near Salt Bodies: Insights from Field Observations, Kinematic Modeling, and Mechanical Analysis in the Paradox Basin'
<p>This data repository supports the manuscript titled <em>"Stress and Rock Failure Near Salt Bodies: Insights from Field Observations, Kinematic Modeling, and Mechanical Analysis in the Paradox Basin,"</em> submitted to the <em>Journal of Geophysical Research: Solid Earth</em>. It contains comprehensive fracture data with location coordinates referenced in the NAD83 UTM Zone 12N system. Orientation data is reported as dip and dip azimuth, and each data point is clearly labeled to indicate whether it was derived from field measurements or point cloud analyses.</p>
Figure 6 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps
Figure 6. Mating of Pezotettix giornae (9 February 2019).
Figure 3 in Grasshoppers in winter: adults observed in a xerothermic oasis in the Italian Alps
Figure 3. Total abundance of specimens sampled in the two years of monitoring.
Predicting Physical Activity and Sedentary Behaviors After Cardiac Rehabilitation: An Observational Study
<h2><strong>Note. A non-blind "<em>Version v1"</em> has been published on Zenodo. For a blind peer review, please refer to the current version <em>"Version v2".</em></strong></h2> <p><strong>[Update] Due to an issue with the data files, all files can now be found here: </strong></p> <p>Fessler, L., Maltagliati, S., Meyer, P., Finckh, A., Cullati, S., Sander, D., Friese, M., Wiers, R., Farajzadeh, A., Luthy, C., Sarrazin, P., & Cheval, B. (2025). Anatomy of a Failure: A Retrospective Evaluation of Cognitive Bias Modification to Promote Physical Activity in Cardiac Rehabilitation [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.17189199">https://doi.org/10.5281/zenodo.17189199 </a></p> <p> </p> <blockquote> <p>Data, data management, and analysis R codes related to the study "Predicting Physical Activity and Sedentary Behaviors After Cardiac Rehabilitation: An Observational Study"</p> <p>This study is part of the <em>Improving Physical Activity in Patients Following a Rehabilitation Programme</em> (IMPACT; <a href="https://doi.org/10.1136/bmjopen-2021-053845" target="_blank" rel="noopener">Cheval et al., 2021</a>) project.</p> <p>This Zenodo includes:</p> </blockquote> <ul> <li> <blockquote>The Visual-Approach/Avoidance-by-the-Self-Task (VAAST; <a href="https://doi.org/10.1016/j.jesp.2017.12.004" target="_blank" rel="noopener">Rougier et al., 2018</a>): "Inquisit_VAAST_IMPACT.zip"</blockquote> </li> <li> <blockquote>All the questionnaires used in the study: "Questionnaires_IMPACT.zip"</blockquote> </li> <li> <blockquote>The data and the corresponding codebooks: "Data_and_Codebooks_IMPACT.zip"</blockquote> </li> <li> <blockquote>The R scripts, including the data management and the main analyses: "R_Scripts_IMPACT.zip"</blockquote> </li> </ul>
VOCs and IVOCs observed in Guangzhou
<p>The measured data used for the study "Concurrent observations of intermediate volatility organic compounds (IVOCs) and volatile organic compounds (VOCs) for their contributions to secondary organic aerosol in Guangzhou"</p>
This record contains raw data related to article: "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"
<p>This record contains raw data related to article "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"</p> <p>Comorbidity has a detrimental effect on cancer survival, however, it is difficult to disentangle its direct effect from its influence on treatment choice. In this study we assessed the effect of comorbidity on survival in patients who received standard treatment for resected stage II and III colorectal cancer (CRC).</p> <p>PATIENTS AND METHODS:</p> <p>In total, 230 CRC patients, 68 rectal (29.6%) and 162 colon cancer (70.4%) treated with surgical resection and neoadjuvant/adjuvant chemotherapy from December 2002 to December 2009 at Humanitas Cancer Center were retrospectively reviewed. The key independent variable was the Charlson Comorbidity Index (CCI) score, measured as a continuous variable. The differences between groups for categorical data were tested using the χ<sup>2</sup> test. Actuarial survival curves were generated using the Kaplan-Meier method.</p> <p>RESULTS:</p> <p>Median follow-up was 113 (range, 8.2-145.0) months. Median age was 63 (range, 37-78) years. In univariate analysis CCI score was significantly associated with poorer disease-free survival (hazard ratio [HR], 1.65; 95% confidence interval [CI], 1.52-1.80; P < .001), and overall survival (OS; HR, 1.55; 95% CI, 1.41-1.71; P < .001). Factors associated with poorer outcome also included (stage III vs. stage II, P < .029) and age (age >70 vs. ≤70 years, P < .001). After adjusting for these factors, a significant negative prognostic role of CCI score was still observed (adjusted HR for OS, 1.59; 95% CI, 1.43-1.76; P < .001).</p> <p>CONCLUSION:</p> <p>Among CRC patients who underwent surgical resection and chemotherapy, a higher CCI score was associated with poorer outcome and might predict long-term survival.</p>
Dataset related to article: "68Ga-PSMA Positron Emission Tomography/Computerized Tomography for Primary Diagnosis of Prostate Cancer in Men with Contraindications to or Negative Multiparametric Magnetic Resonance Imaging: A Prospective Observational Study"
<p>This record contains raw data related to article 68Ga-PSMA Positron Emission Tomography/Computerized Tomography for Primary Diagnosis of Prostate Cancer in Men with Contraindications to or Negative Multiparametric Magnetic Resonance Imaging: A Prospective Observational Study</p> <p>PURPOSE:</p> <p><sup>68</sup>Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography may represent the most promising imaging modality to identify and risk stratify prostate cancer in patients with contraindications to or negative multiparametric magnetic resonance imaging.</p> <p>MATERIALS AND METHODS:</p> <p>In this prospective observational study we analyzed <sup>68</sup>Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography in a select group of patients with persistently elevated prostate specific antigen and/or Prostate Health Index suspicious for prostate cancer, negative digital rectal examination and at least 1 negative biopsy. The cohort comprised men with equivocal multiparametric magnetic resonance imaging (Prostate Imaging-Reporting and Data System, version 2 score of 2 or less), or an absolute or relative contraindication to multiparametric magnetic resonance imaging. Sensitivity, specificity and CIs were calculated compared to histopathology findings. ROC analysis was applied to determine the optimal cutoff values of <sup>68</sup>Ga labeled prostate specific membrane antigen uptake to identify clinically significant prostate cancer (Gleason score 7 or greater).</p> <p>RESULTS:</p> <p>A total of 45 patients with a median age of 64 years were referred for <sup>68</sup>Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography between January and August 2017. The 25 patients (55.5%) considered to have positive positron emission tomography results underwent software assisted fusion biopsy. We determined the uptake values of regions of interest, including a median maximum standardized uptake value of 5.34 (range 2.25 to 30.41) and a maximum-to-background standardized uptake value ratio of 1.99 (range 1.06 to 14.42). Mean and median uptake values on <sup>68</sup>Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography (ie the maximum standardized uptake value or the maximum-to-background standardized uptake value ratio) were significantly higher for Gleason score 7 lesions than for Gleason score 6 or benign lesions (p <0.001). On ROC analysis a maximum standardized uptake value of 5.4 and a maximum-to-background standardized uptake value ratio of 2 discriminated clinically relevant prostate cancer with 100% overall sensitivity in each case, and 76% and 88% specificity, respectively.</p> <p>CONCLUSIONS:</p> <p>Our findings support the use of <sup>68</sup>Ga labeled prostate specific membrane antigen positron emission tomography/computerized tomography for primary detection of prostate cancer in a specific subset of men.</p>
In-Situ Aircraft Observations from North China on May 22, 2017
<p>dataset for Exploring the Microphysical Variability within Stratiform Clouds: In-Situ Aircraft Observations from North China</p>
Seismic data from the joint inland aftershock observation group for the 2024 Noto Peninsula earthquake, 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>
Observation data for 95 Starbucks in central Guangzhou
<p>The dataset contains the number of different types Starbucks customers in the morning and in the afternoon of the same day.</p>
Data used in JGR-A paper "Observational relationship between the Convective Aggregation, Sea Surface Temperature, and Large-scale circulation"
<p>Data used in the JGR-A paper "Observational relationship between the Convective Aggregation, Sea Surface Temperature, and Large-scale circulation" by Shuhei Matsugishi and Masaki Satoh </p>
FIGURE 23. Nacospatangus altus dried test. A. Aboral surface. B. Oral surface. C–D in New Ecological Observations and Occurrence for Asteroidea and Echinoidea in Hong Kong
FIGURE 23. Nacospatangus altus dried test. A. Aboral surface. B. Oral surface. C–D. Lateral views.
FIGURE 20. Clypeaster reticulatus dried test. A. Aboral surface. B. Oral surface. C in New Ecological Observations and Occurrence for Asteroidea and Echinoidea in Hong Kong
FIGURE 20. Clypeaster reticulatus dried test. A. Aboral surface. B. Oral surface. C. Lateral view.
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.