Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

10,016

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

10,016 results for “Observation”

Learn how ShareScore rates datasets ↗
zenodo32/100

Inferring neutral winds in the ionospheric transition region from AGW-TID observations with the EISCAT VHF radar and the Nordic Meteor Radar Cluster

<p>[Dataset] Inferring neutral winds in the ionospheric transition region from AGW-TID observations with the EISCAT VHF radar and the Nordic Meteor Radar Cluster</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Ocular accommodation does take place under the Maxwellian view observation method

<p>This data is the ocular refraction and pupil diameter data accumulated in the &quot;Ocular accommodation does take place under the Maxwellian view observation method.&rdquo;</p> <p>We hope that this will help researchers study the response of the pupil to ocular refraction.</p> <p>Sincerely,</p> <p>Masakazu Hirota</p> <p>*****************************************</p> <p>Masakazu Hirota</p> <p>Senior Assistant&nbsp;Professor</p> <p>Dept. of Orthoptics, Teikyo Univ.</p> <p>2-11-1 Kaga, Itabashi-ku, Tokyo 173-8605&nbsp;</p> <p>E-mail:&nbsp;<a href="mailto:hirota.ortho@med.teikyo-u.ac.jp">hirota.ortho@med.teikyo-u.ac.jp</a></p> <p>Tel: +81-03-3964-1328</p> <p>Fax: +81-03-3963-0303</p> <p>*****************************************</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Site observation data of farmland sites in the middle and lower reaches of Yangtze River, China

<p>The meteorological data from the cropland site used to drive the model mainly includes&nbsp;downwelling longwave and shortwave radiation, precipitation, surface pressure, relative humidity, temperature, and wind speed.&nbsp; The file of&nbsp;meteorological forcing data is named &quot;site_airforcing&quot;</p> <p>Plants were collected at key growth stages of rice and winter wheat. The carbon and nitrogen content of each plant part was measured using an elemental analyzer (Flash Smart, Thermo Fisher, Germany).&nbsp;The file of&nbsp;plant carbon and nitrogen content data during the growing season is named &quot;plant_CN&quot;</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

Data for "Satellite-observed strong subtropical ocean warming as an early signature of global warming"

<p>Data for &ldquo;Satellite-observed strong subtropical ocean warming as an early signature of global warming&rdquo;</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Age of FGK Dwarfs Observed with LAMOST and GALAH: Considering the Oxygen Enhancement

<p>MESA (r12115) inlist files used in the preparation of the paper &quot;Age of FGK Dwarfs Observed with LAMOST and GALAH: Considering the Oxygen Enhancement&nbsp;&quot;.</p> <p>The &#39;<a href="https://zenodo.org/api/files/7cd5636b-f6f5-4baa-be00-b248a0a93018/inlist_project_MIST_sun">inlist_project_MIST_sun</a>&#39; file evolves the model from pre-main sequence to the&nbsp;TAMS &#39;.&nbsp;</p> <p>This &#39;<a href="https://zenodo.org/api/files/7cd5636b-f6f5-4baa-be00-b248a0a93018/inlist_project_MIST_sun">inlist_project_MIST_sun</a>&#39; file is an example file for an O-enhanced stellar model, with an input [&alpha;/Fe] value of 0.1 and a [O/Fe] value of 0.5. We use a Python code to drive the calculations of the stellar model grid, by modifying the initial y and z values, as well as the initial mass of the &#39;<a href="https://zenodo.org/api/files/7cd5636b-f6f5-4baa-be00-b248a0a93018/inlist_project_MIST_sun">inlist_project_MIST</a>&#39; file, to obtain the &#39;<a href="https://zenodo.org/api/files/7cd5636b-f6f5-4baa-be00-b248a0a93018/inlist_project_MIST_sun">inlist_project_MIST_sun</a>&#39; file.</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Emissivity spectra retrieved from airborne observations collected during the MACSSIMIZE field campaign

<p>Emissivity values retrieved from observations made using the MARSS and ISMAR radiometers on board the&nbsp;UK&#39;s BAe-146-301 (FAAM)&nbsp;atmospheric research aircraft during the MACSSIMIZE field campaign.</p>

openogl-uk-3.0May 2023View details →
zenodo32/100

Figures and Data Set of "The Effelsberg survey of FU Orionis and EX Lupi objects II. - H2O maser observations"

<p>This is the full version of the&nbsp;fits files for each source&nbsp;with H2O maser detection for the paper "The Effelsberg survey of FU Orionis and EX Lupi objects II. - H2O maser observations&rdquo;.<br>We also provide the figures from the paper.&nbsp;</p> <p>The paper is published in Astronomy &amp; Astrophysics, and can be found at: https://doi.org/10.1051/0004-6361/202245032</p> <p>The fits files are given for each source and for each observing date.&nbsp;For the data behind Figure 4, we also provide the multiplied data for V512 Per.&nbsp;The units are in Jy in all cases.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

Dataset for JGR Atmospheres manuscript " An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region"

<p>The file&nbsp;includes&nbsp;hourly observations of ground-level ozone (O<sub>3</sub>) and nitrogen dioxide (NO<sub>2</sub>) concentrations at 56 environmental monitoring stations in the Pearl River Delta (PRD) region in China during June 2018. The units are in&nbsp;&mu;g/m<sup>3</sup>.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

A Venus in the Making? Predictions for JWST Observations of the Ultracool M-Dwarf Planet LP 890-9 c

<p>This repository contains the pressure-temperature profiles and volume mixing ratio profiles&nbsp;used in a paper accepted in MNRAS Letters under the same name.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Observational predictions for Thorne–Zytkow objects

<p>Model data, input files, and plotting scripts for the paper : Observational predictions for Thorne–Zytkow objects</p><p>&nbsp;</p><p>Abstract</p><p>Thorne–Zytkow objects (TZO) are potential end products of the merger of a neutron star with a non-degenerate star. In this work, we have computed the first grid of evolutionary models of TZOs with the MESA stellar evolution code. With these models, we predict several observational properties of TZOs, including their surface temperatures and luminosities, pulsation periods, and nucleosynthetic products. We expand the range of possible TZO solutions to cover $3.45\( \lesssim\) log (T/Teff)&nbsp;\( \lesssim\) 3.65 and 4.85 \( \lesssim\)log (L/L_sun) \( \lesssim\)5.5. Due to the much higher densities our TZOs reach compared to previous models, if TZOs form we expect them to be stable over a larger mass range than previously predicted, without exhibiting a gap in their mass distribution. Using the GYRE stellar pulsation code we show that TZOs should have fundamental pulsation periods of 1000--2000 days, and period ratios of ~0.2--0.3. Models computed with a large 399 isotope fully-coupled nuclear network show a nucleosynthetic signal that is different to previously predicted. We propose a new nucleosynthetic signal to determine a star's status as a TZO: the isotopologues &nbsp;\(^{44}\rm{Ti O}\) and \(^{44}\rm{Ti O_2}\), which will have a shift in their spectral features as compared to stable titanium-containing molecules. We find that in the local Universe (~SMC metallicities and above) TZOs show little heavy metal enrichment, potentially explaining the difficulty in finding TZOs to-date.</p><p>&nbsp;</p><p>MESA version: r22.11.1</p><p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling

<p>This is the data related to the paper &quot;Organic aerosol sources in the Milan metropolitan area &ndash; Receptor modelling based on field observations and air quality modelling&quot; in Atmospheric Environment</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Underlying data for Evaluation of the effect of Modern Sulfonylureas on Oxidative Stress and Hepatorenal Function among Type 2 Diabetic Patients beyond Glycemic Control: an observational study

<p>Underlying data for Evaluation of the effect of Modern Sulfonylureas on Oxidative Stress and Hepatorenal Function among Type 2 Diabetic Patients beyond Glycemic Control: an observational study</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Clustering dark energy imprints on cosmological observables of the gravitational field

<p>This file contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled &quot;Clustering dark energy imprints on cosmological observables of the gravitational field&quot; (<a href="https://arxiv.org/abs/2007.04968">https://arxiv.org/abs/2007.04968</a>).</p> <p><br> This paper has also been published in MNRAS which can be accessed at this link:&nbsp;<a href="https://doi.org/10.1093/mnras/staa3589">https://doi.org/10.1093/mnras/staa3589</a>.</p> <p>Directories</p> <ul> <li><strong>codes</strong>: This directory includes the codes&nbsp;to generate and post-process the simulation data.</li> <li><strong>data</strong>: This directory contains the data generated as part of the project.</li> <li><strong>jupyter_notebooks</strong>:&nbsp;This directory includes Jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>supplementary_materials</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the &quot;<strong>jupyter_notebooks</strong>&quot; directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the &quot;<strong>codes</strong>&quot; directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the &quot;<strong>data</strong>&quot; directory to access the simulation data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Minimal dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning

<p>The minimal dataset needed of data which can not be retrieved from the internet by APIs in the preprocessing. Consists of shape, land use and rivers for the&nbsp;Zwalm catchment.&nbsp;&nbsp;</p> <p>Code related to this dataset can be found here:&nbsp;https://github.com/olivierbonte/master_thesis&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Preprocessing output for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning

<p>Outputs of the local preprocessing of the OpenEO data (see <a href="https://doi.org/10.5281/zenodo.7691342">here</a>) and pywaterinfo data (see <a href="https://doi.org/10.5281/zenodo.7689200">here</a>).</p> <p>Code related to this dataset can be found&nbsp;<a href="http://github.com/olivierbonte/master_thesis">here</a></p>

opencc-by-4.0May 2023View details →
zenodo32/100

Assessment of kisspeptin and trappin level in Iraqi women with early pregnancy loss: an observation study

<p>Assessment of kisspeptin and trappin level in Iraqi women with early pregnancy loss: an observation study</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Inverse observation operator parameters/models for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning

<p>Both saved models and results of hyperparameter tuning are given.&nbsp;</p> <p>Code related to this dataset can be found&nbsp;<a href="http://github.com/olivierbonte/master_thesis">here</a></p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo32/100

A Deep-Learning-Based Approach to the Downscaling of Precipitation Data Observed in Taiwan

<p>The data set&nbsp;is provided&nbsp;by the authors for&nbsp;the observational precipitation data downscaling method presented in the paper.</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

Surface Imagery based on helicopter-borne observations during MOSAiC

<p>Helicopter-borne surface fisheye imagery taken during MOSAiC. 24 research flights were conducted by helicopter, 5 by HELiPOD, a tow-probe measurement system. HELiPOD research flights can be identified by the name of the respective directory.<br> Black areas indicate masked parts of images due to visible parts of carrier.&nbsp;<br> Images can be used to classify surface into different surface type fractions, as described in Sperzel, T. R. Codes for: Surface Albedo Measurements and Surface Type Classification from Helicopter-based Observations during MOSAiC, https://doi.org/10.5281/zenodo.7974021 (2023).<br> Black masked areas should be considered as such. Results are described in Sperzel, Tim R; J&auml;kel, Evelyn; Lampert, Astrid; Birnbaum, Gerit; P&auml;tzold, Falk; Neckel, Niklas; Rosenburg, Sophie; Fuchs, Niels; Wendisch, Manfred (2023): Surface type classifications from helicopter-borne imagery during the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.958997.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Citizen Science Biodiversity Observations for Athens Municipality, 2010-2023

<p>Biodiversity observations extracted from the GBIF database, for the Athens municipality area, derived for the years 2010-2023 using the Athens municipality city limits shapefile. The data is geolocated, timestamped, and has information on species, taxa, genus etc.</p>

opencc-by-4.0Dec 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.