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.
22,922
datasets available to search
ShareScore release 0.9.0
Dataset results
22,922 results for “collections as data”
collected PTR-ToF-MS data, optical-based data, food frequency questionairre results, adipose tissue measurements, and anthroprometrics
<p><span>This file contains the collected PTR-ToF-MS data, optical-based data, food frequency questionairre results, adipose tissue measurements, and anthroprometrics. These data were used in the Periodic Technical Report Part B covering M37-M54. Graph generated from these data are Figure 16 and Figure 17 under Taks 7.5.</span></p> <p><span> </span></p> <p><span>Abbreviation<span> </span>Explanation</span></p> <p><span>BMI<span> </span>Body Mass Index</span></p> <p><span>SAT<span> </span>Subcutaneous adipose tissue</span></p> <p><span>VAT<span> </span>Visceral adipose tissue</span></p> <p><span>DHD1<span> </span>Vegetable intake</span></p> <p><span>DHD2<span> </span>Fruit intake</span></p> <p><span>DHD3<span> </span>Whole wheat products</span></p> <p><span>DHD4<span> </span>Legumes</span></p> <p><span>DHD5<span> </span>Nuts/seeds</span></p> <p><span>DHD6<span> </span>Dairy</span></p> <p><span>DHD7<span> </span>Fish</span></p> <p><span>DHD8<span> </span>Fat/oils</span></p> <p><span>DHD9<span> </span>High-fat and processed meat</span></p> <p><span>DHD10<span> </span>Sugar-containing beverages</span></p> <p><span>DHD11<span> </span>Unhealthy choices</span></p>
Data from: Comparative assessment of a novel fan box trap for collecting Anopheles farauti and culicine mosquitoes alive in tropical north Queensland, Australia
<p>During preliminary mosquito surveys at Cowley Beach Training Area in north Queensland, Australia, it was found that the utility of the standard encephalitis virus surveillance (EVS) trap for collecting the malaria vector <em>Anopheles farauti</em> (Laveran) adults was compromised by the harsh tropical conditions. With the aim of increasing the survival rate of mosquitoes, we designed a downdraft fan box trap (FBT) that incorporated a screened fan at the bottom of the trap, so mosquitoes did not have to pass through a fan. The FBT was tested against the EVS and Centers for Disease Control (CDC) light traps, where mosquitoes do pass through a fan, and a nonpowered passive box trap (PBT). We conducted four trials to compare the quantity and survival of <em>An. farauti</em> and culicine mosquitoes were collected in these traps. Although not significant, the FBT collected more <em>An</em>. <em>farauti</em> than the EVS trap and PBT and significantly less <em>An. farauti</em> than the CDC light trap. However, the FBT improved on the CDC light trap in terms of the survival of <em>An</em>. <em>farauti</em> adults collected, with a significantly higher percentage alive in the FBT (74.6%) than in the CDC light trap (27.5%). Thus, although the FBT did not collect as many anophelines as the CDC, it proved to be superior to current trap systems for collecting large numbers of live and relatively undamaged mosquitoes. Therefore, it is recommended that FBTs be used for collecting <em>An. farauti</em> adults in northern Australia, especially when high survival and sample quality are important.</p>
[Raw data collection] - Granular skeleton optimisation and influence of the cement paste content in bio-based oyster shell mortar with 100% aggregate replacement
<h1>Raw data collection</h1> <h2>Associated paper information</h2> <p>- Year: 2024 <br>- Journal: Sustainability <br>- DOI/link: https://doi.org/10.3390/su16062297 <br>- Title: Granular skeleton optimisation and influence of the cement paste content in bio-based oyster shell mortar with 100% aggregate replacement <br>- Authors: Ana Cláudia Pinto Dabés Guimarães (1,2), Olivier Nouailletas (3), Céline Perlot (2,3,4) and David Grégoire (1,3,4,*) <br>- Affiliation: <br> (1) Universite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, LFCR, Anglet, France, <br> (2) Universite de Pau et des Pays de l’Adour, E2S UPPA, SIAME, Anglet, France, <br> (3) Universite de Pau et des Pays de l’Adour, E2S UPPA, ISA BTP, Anglet, France, <br> (4) Institut Universitaire de France, Paris, France, <br> * Correspondence: david.gregoire@univ-pau.fr</p>
Data for "Electron–Hole Asymmetry of Quantum Collective Excitations in High-Tc Copper Oxides"
<p>This data set contains raw simulation data for M. Fidrysiak, "Electron-Hole Asymmetry of Quantum Collective Excitations in High-Tc Copper Oxides", Acta Phys. Polon. A 143, 180 (2023); doi: https://doi.org/10.12693/APhysPolA.143.180. </p>
SEG-Y Multichannel seismic data collected during RV METEOR expedition M199 and used for publication by Micallef et al., in prep.
<p><span>The dataset comprises 3 multichannel seismic profiles, which have been collected during RV METEOR expedition M199 in February 2024 by the University of Hamburg. Data format is SEG-Y. Trace headers follow SEG-Y Revision 1 standard.</span></p> <p><span>The profiles are:</span></p> <p><span>M199_MCS_HH24-03</span></p> <p><span>M199_MCS_HH24-05</span></p> <p><span>M199_MCS_HH24-29</span></p>
Tropical forest seedling trait data collected in Danum Valley, Sabah, Malaysia, in February 2020
<p><strong>Data Link</strong></p> <p>This is a link to a dataset affiliated with SEARRP but that is stored in a different repository. Please find the link to the dataset below, and be sure to cite the data correctly via that repository.</p> <p><strong>Correct Citation</strong></p> <p>Burslem, D.F.R.P.; Banin, L.F.; Bartholomew, D.C.; Bin Suis, M.A.F.; Bittencourt, P.R.L.; Chapman, D.; Dent, D.H.; Hayward, R.M.; O’Brien, M.J.; Rowland, L.M. (2022). Tropical forest seedling trait data collected in Danum Valley, Sabah, Malaysia, in February 2020. (Dataset). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/e738e8af-554a-4940-bb56-267c7377d74d</p> <p><strong>Summary</strong></p> <p>This dataset includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg; leaf N: P concentration ratio; specific maximum root length) measured in February 2020 on 394 seedlings of 15 woody plant species growing in logged in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. The purpose of this data collection was to determine whether the expression of plant functional traits differed between tree seedlings recruited into logged and unlogged forests. This information is important for understanding the drivers of variation in seedling growth and survival in response to logging disturbance, and to uncover the mechanisms giving rise to differentiation in tree seedling composition in response to logging. These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1).</p> <p><strong>Link to project website: </strong><a href="https://gtr.ukri.org/projects?ref=NE%2FT006560%2F1" target="_blank" rel="noopener">https://gtr.ukri.org/projects?ref=NE%2FT006560%2F1</a></p> <p><strong>Link to data repository:</strong> <a href="https://doi.org/10.5285/e738e8af-554a-4940-bb56-267c7377d74d" target="_blank" rel="noopener">https://doi.org/10.5285/e738e8af-554a-4940-bb56-267c7377d74d</a></p>
Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model
<p>Dataset presented in the paper <em>"Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model".</em></p> <p>This dataset contains human foot joints kinematics and kinetics data collected during walking, classified depending on their static foot posture. The kinematics data were recorded using a three-dimensional motion analysis system, and kinetics data were recorded through a pressure platform. The data was collected considering a multi-segment foot model that considers the ankle, midtarsal and first metatarsophalangeal joint. A total of 70 healthy subjects with different static posture (highly pronated, highly supinated and normal, as classified by the foot posture index) participated in the experiments. This dataset contains a total of 350 continuous recordings of anatomical angles and joint moments of the ankle, midtarsal, and first metatarsophalangeal joints of the right foot during walking, as well as the right foot contact pressures recorded. The recordings were collected at 100 Hz, and the resulting data are provided filtered and resampled to 100 frames evenly distributed along the stance phase. Participants’ descriptive data are also provided: age, weight, height, and foot anthropometric data and foot posture index for both feet. The data are presented as a spreadsheet file (.xlsx) and a Matlab structure file (.mat), with contact pressures provided only in the .mat file. Further details and data validation are provided in the main paper.</p>
Data from: Use of the lung flute ECO to assist in sputum collection for tuberculosis testing: a randomized crossover trial
<p>The Lung Flute ECO, a self-powered, low cost, oscillatory positive expiratory pressure (OPEP) device, assisted people with presumptive tuberculosis to produce an adequate sputum volume for diagnostic testing and was well-tolerated.</p>
MSValid Data Collection
<p><strong>Dataset Composition and Patient Information</strong></p> <p> </p> <p><span>The dataset comprises MRI scans from 84 patients diagnosed with relapsing-remitting multiple sclerosis (RRMS), with each patient's data thoroughly anonymized to protect privacy. </span> The dataset includes a mixture of patients, some of whom have only a single MRI scan available, while others have longitudinal data with multiple scans taken at various timepoints. The intervals between these timepoints vary and, in certain cases, include instances where patients have undergone therapeutic interventions between scans. This allows for the examination of disease progression and treatment effects over time.</p> <p>Individual patient data have been collected by Garibaldi Hospital (Catania) upon authorization of ethic committee COMITATO ETICO CATANIA 2 (prot. 810/C.E. del 20/12/2020, favorable opinion) and are irreversibly anonymised.</p> <p> </p> <p><strong>MRI Sequences and Imaging Details</strong></p> <p> </p> <p>Each MRI scan in the dataset consists of three primary sequences: Fluid Attenuated Inversion Recovery (FLAIR), T1-weighted, and T2-weighted imaging.</p> <p> </p> <p>• T1-weighted sequence: In this imaging modality, the white matter exhibits a hyperintense (lighter) signal compared to gray matter, which appears with a relatively lower intensity. The cerebrospinal fluid (CSF) is notably hypointense, presenting as a dark region within the brain’s ventricular and subarachnoid spaces.</p> <p> </p> <p>• T2-weighted sequence: Contrastingly, T2-weighted imaging depicts white matter as hypointense (darker), while gray matter appears with a higher signal intensity. CSF in this sequence is hyperintense, providing a bright signal, making it distinct in the brain’s fluid-filled spaces.</p> <p> </p> <p>• FLAIR sequence: The FLAIR imaging technique is similar to T2-weighted imaging but incorporates an inversion recovery pulse to suppress the CSF signal. This suppression enhances the visibility of lesions adjacent to the CSF, which might otherwise be obscured due to the high intensity of the fluid in standard T2-weighted images.</p> <p> </p> <p><strong>MS Lesion Characteristics and Detection</strong></p> <p> </p> <p>MS lesions exhibit distinct signal intensities across the different imaging sequences. On T1-weighted images, these lesions typically appear as hypointense areas, reflecting their lower signal intensity relative to normal white matter. Conversely, MS lesions are hyperintense on T2-weighted, proton density (PD)-weighted, and FLAIR sequences, indicating a higher signal intensity compared to surrounding brain tissues.</p> <p> </p> <p>FLAIR images, in particular, provide superior lesion detection capabilities. The suppression of the CSF signal in FLAIR images enhances the contrast between lesions and surrounding tissues, making the lesions appear prominently hyperintense. This heightened contrast facilitates the precise delineation of MS lesions, which are often well-differentiated from adjacent brain structures in these images. The detailed imaging characteristics captured across these sequences are crucial for assessing the extent of MS-related brain damage, monitoring disease progression, and evaluating therapeutic outcomes.</p> <p> </p>
IT-RAD weather radar data collected on 5 September 2015 during an exceptionally intense hailstorm in the Gulf of Naples
<p>On 5 September 2015 a violent hailstorm hit the Gulf and the city of Naples in Italy. The storm originated over the Tyrrhenian Sea dropping 7–10 cm diameter hailstones along its path. The event was observed by a dual-polarization Doppler C-band, namely the Monte il Monte radar operated by the Italian Department of Civil Protection, being part of the Italian radar network (IT-RAD). </p> <p>The dataset is composed by high-resolution polar volumes of the following radar parameters: Uncorrected reflectivity Z (UZ), Corrected reflectivity Z (CZ), differential reflectivity (ZDR), uncorrected differential phase shift (PHIDP), co-polar correlation coefficient (RHOHV), Doppler Velocity (V), Doppler Width (W). The scan strategy is based on inverse elevation mode (from the highest to the lowest elevation angle) with variable PRF. The different phases of the event were well captured by the weather radar of “Monte il Monte” (lat = 41.9394 °, lon = 14.6208 °, altitude = 710 m) which, at the time of the event, was affected by a differential bias (on ZDR) of about 0.8 dB to be algebraically subtracted from the measured quantities. The user should be informed about some spot regions of missing data that might be present in the radar variables, especially on the V and differential phase. This is caused by the thresholding approach applied at RSP level on the signal quality index (SQI) to compensate for W-LAN interferences.</p> <p>The dataset, consisting of 44 raw radar data volumes with 5 minutes sampling rate, is provided in a proprietary format (“Datamet”) that is manageable by using the python code named read_datamet.py that is available at <a href="https://zenodo.org/record/4897245">https://zenodo.org/record/4897245</a>.</p>
Supporting data: Divergent Estimates of China's Forest Carbon Sink Can Not Be Well Coordinated based on a Collective Analysis
<p>Differences in the carbon sink results obtained from the inventory method, DGVMs, ATM, and EC were compensated using relevant data under a harmonized definition of the NetFCsink. All the carbon flux results used have been stored in an xlsx file, categorized according to the corresponding method.</p>
Raw data collection for the publication P. Pötschke, T. Villmow, B. Krause and B. Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites
<p>This data collection contains the raw data for the publication <br>Petra Pötschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p> <p>The data are sorted according to the figures and tables in which they are used.</p> <p>The description in Table 1 is taken from the reference:<br>Villmow, T.; Kretzschmar, B.; Pötschke, P. Influence of screw configuration, residence time, <br>and specific mechanical energy in twin-screw extrusion of polycaprolactone/multi-walled carbon nanotube composites. Compos. Sci. Technol. 2010, 70, 2045-2055. doi: https://doi.org/10.1016/j.compscitech.2010.07.021.</p> <p>Figure 15 is adapted from the references:<br>Krause, B.; Boldt, R.; Pötschke, P. A method for determination of length distributions of multiwalled carbon nanotubes before and after melt processing. Carbon 2011, 49, 1243-1247, https://doi:10.1016/j.carbon.2010.11.042.<br>and<br>Liebscher, M.; Domurath, J.; Krause, B.; Saphiannikova, M.; Heinrich, G.; Pötschke, P. Electrical and melt rheological characterization of PC and co-continuous PC/SAN blends filled with CNTs: Relationship between melt-mixing parameters, filler dispersion, and filler aspect ratio. Journal of Polymer Science Part B: Polymer Physics 2018, 56, 79-88, https://doi:10.1002/polb.24515.<br>The data are reused with permissions. </p> <p>The raw data (TEM images) used for the calculation of the carbon nanotube length distributions and mean carbon nanotube length values shown in Figs. 4, 11, 13, 16, and 17 are publically available at: Krause, B. (2024). Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11400466</p> <p>Version v2:</p> <p>Compared to the submitted figure, in the final version in<strong> Fig. 9 </strong>the sample using the side feeder (PC-H-05) was removed and two samples extruded at 15 kg/h and 750 rpm (PC-H-25) and 1000 rpm (PC-H-26) were added. In the text-file the unit of GPa for the elastic modulus was corrected to MPa. </p> <p>Compared to the submitted Table, in the final version of <strong>Table 2 </strong>the electrical resistivity values were given in more detail including the standard deviation. The column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.</p> <p>Compared to the submitted Table, in the final version of <strong>Table 3</strong> the column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.The title of the first column was set to "screw" instead of "feeding". </p>
Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed (Release 2)
<p>Environmental and AIS data collected during the second phase of EUMR TNA experiments using the CMRE LOON testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)</p> <p>Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p><br> Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) June 9-11, 17-18, 25-26 - 2021<br> ii) July 5-7, 21-27, 30-31 - 2021<br> iii) August 3-5, 10-14, 19-21, 23-24, 28-30 - 2021</p> <p>SVP1 data missing for June 17-18 (2021) and July 5-7 (2021).</p> <p><br> Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for:<br> i) June 9-11 - 2021</p> <p>AIS recorded data not available after June 11, 2021</p> <p>For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description", Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001</p>
Data for : "Three months of combined high resolution rainfall and wind data collected on a wind farm"
<p>The data set corresponds the data presented in the data paper : “Three months of combined high resolution rainfall and wind data collected on a wind farm “ Earth System Science Data” (https://www.earth-system-science-data.net/).</p> <p>More details can be found in the Read_me_v1.txt file and in the paper.</p>
Gait data of hemiparetic subjects collected over the GRAIL system
<p>The dataset includes multiple gait data collected with the GRAIL system (Motek) of 6 children/adolescents with hemiparesis. The patients performed a personalized intervention on gait pattern, walking resistance and gross motor function. Each .csv file is related to a patient (Sx) at T0 (pre-assessment) or T1 (post assessment). </p>
Sensor data collected at the Nowe Czarnowo carp farm in Poland
<p>This dataset includes data collected from a land-based Carp farm in Nowe Czarnowo, Poland. Included are temperature, dissolved oxygen, and PH data collected at the farm at two locations. More details on the data can be found in the <a href="https://www.unive.it/pag/fileadmin/user_upload/progetti_ricerca/gain/documenti/GAIN_D11_Report_on_instrumentation_of_GAIN_pilot_sites.pdf">Report on instrumentation of site</a></p>
Sensor data collected at the Preore trout farm in Italy
<p>This dataset includes data collected from a land-based trout farm in Preore, Italy. Included are temperature, dissolved oxygen, nitrates, salinity collected at the farm. Further sample measurements of fish size are included. More details on the data can be found in the <a href="https://www.unive.it/pag/fileadmin/user_upload/progetti_ricerca/gain/documenti/GAIN_D11_Report_on_instrumentation_of_GAIN_pilot_sites.pdf">Report on instrumentation of site</a></p>
X-ray powder diffraction data of a dried Pepto-Bismol suspension (bismuth subsalicylate) collected at ambient temperature
<p>PXRD data of dried Pepto-Bismol suspension loaded in a Kapton tube. Data collected under ambient conditions. Calibrated wavelength = 0.458092 Å.</p> <p>Use of the Advanced Photon Source at Argonne National Laboratory was supported by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.</p>
CCG Starter Kits - Base Data Collection File
<p>This file is the Base Data Collection File.</p> <p>This is published as part of the MethodsX paper titled <strong>How to put together a Starter Data Kit from scratch? An extensive methodology to compile zero-order energy transition models. </strong>The main goal of the files published for this paper is to develop a set of credible data and an initial investment model for several developing countries.</p>
Gravity data collected during volcanic unrest period of the Svartsengi geothermal field in Iceland
<p>The file contains free-air corrected data collected during the one-year unrest at the Svartsengi geothermal field in Iceland as a precursor the Fagradalsfjall eruption in 2021.</p> <p>Column 1: Name of the measurement site</p> <p>Column 2 and 3: Geographical coordinates of measurement sites</p> <p>Column 4-6. Change in elevation, free-air correction and free air gravity change from January 28-29th to April 22-28th 2020</p> <p>Column 7-9. Change in elevation, free-air correction and free air gravity change from April 22-28th to October 5-6th 2020</p> <p>Column 10-12. Change in elevation, free-air correction and free air gravity change from October 5-6th 2020 to February 17-18th 2021</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.