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.
1,891
datasets available to search
ShareScore release 0.9.0
Dataset results
1,891 results for “Field data”
Binary Field of Research Classification Data
<p>The zip file includes the following data:</p> <ol> <li>Class category list (for categorical baseline),</li> <li>Document text: containing the title + abstract of each dataset instance.</li> <li>Class ORKG texts only: containing the dataset's ORKG label for each instance.</li> <li>Class DBpedia texts only: containing texts extracted from the linked DBpedia entity for each instance (the text is derived from rdfs:label + rdfs:comment)</li> <li>Class KGEs: containing DBpedia entity embeddings for each instance. The embeddings are pre-trained and extracted from https://zenodo.org/records/6384728.</li> <li>Author embedding per instance.</li> <li>Publisher embedding per instance. </li> <li>Labels: containing binary labels indicating whether an instance is a positive or negative sample. </li> </ol>
Neural Fields FEM Simulation Data
<p>Dataset for simulation on FEM Neural fields</p>
H2020 TWEETHER Field Trial Results (Data files)
<p>ZIP file containing the CSV files of the different parameters captured during TWEETHER Field Trial (21/09/2018 to 04/10/2018).</p> <p>Please contact TWEETHER consortium (www.tweether.eu) to request access.</p>
A field guide for the compositional analysis of any-omics data: Supplemental Scripts
<p> Supplemental Scripts for "A field guide for the compositional analysis of any-omics data".</p>
Ecotoxicity data realted to the ELECTRA 826244 H2020 project Deliverable 2.1 entitled "Description of the prototypes set-up for field testing"
<p>Ecotoxicity testing was carried out within the frame of the ELECTRA No. 826244 H2020 project. Samples were provided by partners from laboratory experiments. This dataset contains ecotoxicity data related to technologies described in Deliverable 2.1 entitled Description of the prototypes set-up for field testing.</p>
RENU2 Science Magnetometer (FGM) Magnetic Field, High Time Resolution (H0), 1 ms Data
Rocket Experiment for Neutral Upwelling 2, RENU2, Science Magnetometer, Magnetic Field Measurements
PSP FIELDS F2 Time Domain Sampler (F2 TDS) 100 bit/s Summary Telemetry, Level 2 (L2), 8 s Data
PSP FIELDS F2 100 bps Summary Telemetry Data
Gene expression data of glioblastoma multiforme U-87 cells exposed to targeted electromagnetic fields
GEO Series GSE108870. Homo sapiens. 6 samples. Type: Expression profiling by array.
Continuous passive seismic data recorded at the Larderello-Travale geothermal field (June 2017-January 2018)
<p>The compressed files contain the continuous data (in mseed format) recorded from 23 June 2017 to 21 January 2018 by 8 temporary stations installed in the Larderello-Travale geothermal field (Lago Boracifero area). VN.dseed is a dataless SEED containing the metadata about the instruments.</p>
Numerical data sets pertaining to phase-field simulations of faceted crystal dissolution processes
<p>The numerical data in this repository (Archive.zip + Animation.zip) pertains to the simulation results of faceted crystal dissolution processes in different crystal-liquid systems. The simulations were performed using the software package named "Pace3D version 2.5.1". The software license can be purchased at Steinbeis Network (www.steinbeis.de) in the management of Britta Nestler and Michael Selzer under the subject area ‘Material Simulation and Process Optimization’. </p> <p><br> The data is organized, the way it appears in the figures in the manuscript. Thus, the folders (compressed) are named according to the figure number in the manuscript.</p> <ul> <li>For the sake of convenience, the simulation data at intermediate dissolution stages was converted from Pace3D output format (*.phiindex.p3s and *.phi_crystal.p3s) to VTK data format, that can be visualized using open source software packages like Paraview. The VTK data files in each subfolder are also compressed (*.gz). For visualization, a decompression of the data is necessary (e.g. with gzip, 7zip).</li> <li>The animation videos of the simulations are also attached as a separate compressed file named Animation.zip.</li> </ul>
Data for Field observation of Variation in Dust Emission Efficiency with Wind Speed and Temporary Properties of Farmland Soil
Open the record for dataset details and reuse information.
The stacked data in the Wudalianchi volcanic field
<p>The stacked data from ambient noise cross-correlations in the Wudalianchi volcanic field</p>
EJP SOIL C-arouNd - (Meta)data of Long-term field experiments (LET)
Open the record for dataset details and reuse information.
The stacked data in the Wudalianchi volcanic field
Open the record for dataset details and reuse information.
data: Exploring neural field theory: Modeling consciousness states and criticality in the brain
Open the record for dataset details and reuse information.
Data for: Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology
<p>Data for the data paper "<strong>Aprisco Field Station: The spatial structure of a new experimental site focused on agroecology</strong>". The data contains on the onehand tree locations of 50 1-hectare plots mapped at the Dehesa of the Aprisco Field Station next to the Monfragüe National Park, Torrejón el Rubio, Cáceres, Spain. This data set (TreeDataCorchuelas.xlsx) includes exact location of the trees and diameter at breast hight. On the other hand, the whole farm of 150 hectares including the 50 1-hectare plots was mapped with a drone to get a digital surface model (i.e. digital terrain model [ESP: modelo digital del terreno - MDT (MDT.tif)]) and a vegetation height model (digital elevation model [ESP: modelo digital de elevaciones - MDE (MDE.tif)]) that allows to identify all the trees, shrubs and other vegetation, as well as canopy height and canopy size calculations of all the trees. A 3d model of the digital elevation model is added as pdf (modelo3d.pdf). </p>
Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging
<p>T2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2 and high-resolution morphometry for cartilage and meniscus. The qDESS uses an analytical signal model to compute T2 relaxometry maps, which require knowledge of the flip angle (FA). In the presence of B1 inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2 measurements.</p> <p>We propose a pixel-wise B1 correction method for qDESS 2 mapping exploiting an auxiliary B1 map to compute the actual FA used in the model. The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging. T2 measurements of femoral cartilage (FC) of both knees of a healthy participant were repeated longitudinally to investigate the association between T2 variation and B1. The results showed that applying the B1 correction could mitigate T2 variations that were driven by B1 inhomogeneities. Specifically, T2 left-right symmetry increased following the B1 correction. Without the B1 correction, T2 values showed a significant (p<0.05) moderate Pearson’s correlation with B1 across time points (0.68 <r<0.70 and 0.74<r<0.79, for the left and right knee, respectively). The correlations and slopes decreased using the B1 correction (0.01<r<0.02 and 0.48<r<0.55, for left and right knee, respectively) and were not statistically significant (p > 0.05). In conclusion, the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2 mapping method to B1, therefore increasing the sensitivity to detect real biological changes.</p> <p>The proposed method may improve the robustness of bilateral qDESS T2 mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies.</p> <p><strong>This repository contains the raw data for reproducing the results reported in the paper. The data are provided in NIFTI format.</strong></p> <p> </p>
Winter field hydrological monitoring data for five artificially drained croplands in Eastern Canada.
Open the record for dataset details and reuse information.
Radar - wind profiler data of RACLETS field campaign
<p>Please contact Maxime Hervo from MeteoSwiss for information about the data set.</p>
LIDAR - Wind profiler data of RACLETS field campaign
<p>Please contact Maxime Hervo from MeteoSwiss for information about the data set.</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.