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.
113
datasets available to search
ShareScore release 0.9.0
Dataset results
113 results for “Related Projects”
Datasets of VAMAS TWA2 Project 33: Chemical characterization of graphene related two-dimensional materials by XPS
<p>The datasets contain excel-files of the XPS raw data of the participants of the interlaboratory comparison. Additionally, the protocol is added.</p>
Dataset from the project entitled HimFunDiff. Related to research article: Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity.
<p>We examined a total of 9 populations of Rhododendron anthopogon, which were located between 3200 m and 4200 m above sea level (asl). These populations were distributed across three geographically distant transects, with each transect consisting of three sites (along an elevation gradient). The transects are referred to as northern, intermediate, and southern, while the sites at each transect are categorized as low, mid, and high (as depicted in Thakur et al 2024). The northern transect exhibited colder temperatures and lower rainfall compared to the other two transects. On the other hand, the two remaining transects had relatively similar temperatures, but the southernmost transect received higher levels of precipitation. The mean annual temperature of these populations ranged from 2 °C to 5 °C from 2021 through 2022, while volumetric soil moisture levels varied from 0.198 to 0.377 based on onsite measurements using TMS4 dataloggers (Wild et al., 2019).</p> <p>We collected a total of 81 wood disc samples, with 9 samples obtained from each of the 9 sites studied (9 populations × 9 discs). The samples were collected by cutting a single piece from the thickest stem segment, approximately 5 cm in length, from 81 different mature and healthy individuals. Within each site, the 9 samples were obtained from three separate plots (three samples per plot), each covering an area of approximately 100 m2. The selection criteria for these plots included: (1) the presence of Rhododendron anthopogon as one of the dominant species; (2) minimal anthropogenic disturbance; and (3) the absence of large shrubs or trees. The sampled individuals within a plot were spaced at least 5 m apart from each other, and the plots themselves were at least 20 m apart. To prevent rapid drying, the cut stem samples were immediately placed in a wet paper towel. Within 48 hours of sampling, the stem samples underwent dehydration by being immersed in 50 % ethanol for the initial 3 days, followed by 70 % ethanol for the subsequent 7 to 10 days. After the ethanol dehydration process, the samples were air-dried for 72 hours and then stored in paper bags until further processing.</p> <p>Plant age and growth data for each of the sampled individuals were obtained following established protocols (Doležal et al., 2018). In the laboratory, we utilized a sledge microtome to cut cross-sections from each stem sample. These cross-sections were then stained with Astra Blue and Safranin and permanently affixed to microscope slides using Canada Balsam (Doležal et al., 2022). High-resolution images of the fixed sections were captured using an Olympus BX53 microscope equipped with an Olympus DP73 camera. The software CellSense Entry 1.9 was employed to analyse the best image obtained from each individual. We measured annual radial growth increments from pith to bark to the nearest micrometre. </p> <p>More details are given in the article entitled </p> <h1>Global warming alters Himalayan alpine shrub growth dynamics and climate sensitivity. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.scitotenv.2024.170252" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.scitotenv.2024.170252</a></h1>
Fourier projection algorithm for calculating phonon dispersion relations of crystals
<p>We propose a Fourier projection algorithm and demonstrate its superiority for calculation of the phonon dispersion relations of 2D and 3D crystals based on the atomic coordinate trajectories from supercell molecular dynamics/first-principle molecular dynamics simulations. The lattice vibration states are described in a six-dimensional phase space composed of lattice and wave vectors. Phonon dispersion information in the first Brillouin zone sampled with a k-mesh grid of N×N×N is generated by Fourier projection of the lattice vibration frequencies in the supercell by N×N×N primitive cells, the dispersion relations along high-symmetry paths are retrieved therefrom. Our algorithm is physically intuitive, computationally convenient, and universally applicable. As examples of application, the successful dispersion relation calculations of 2D graphene, 3D BCC-Fe and FCC-Cu are presented. This algorithm shows the correspondence between real and reciprocal lattices, that is, the spatial information in the states of the lattice vibration were preserved. The high-symmetry paths of the first Brillouin zone in the reciprocal lattice primitive cells of the hexagonal, BCC, and FCC lattice were also given in detail. In combination with first-principles molecular dynamics, as long as the interatomic force is accurately known, reliable and accurate dispersion relation can be achieved by this Fourier projection algorithm.</p>
SEM Figures related to CIGNUS project
<p>SEM images collected during the CIGNUS project from 2019 to 2021. Contact the author for details and information.</p>
mFRR market related datasets for HLU9 of the CROSSBOW project
<p>Datasets for HLU9 of the CROSSBOW project. What is included?</p> <ol> <li><strong>Cross-Zonal Capacities</strong> - formatted dataset published as a whole <ul> <li>CZC data for the years 2018 & 2019 were gathered in HLU9. The CZC values were for the timeframe after the ID market took place (before the mFRR market). Parameters included: Date & Time, CZC value to and from the delivering LFC area. CZC data was collected for borders of TSOs from the CROSSBOW project consortium<strong>.</strong></li> </ul> </li> <li><strong>mFRR market related data </strong>- formatted dataset published, sensitive data omitted as per the guidelines from TSOs <ul> <li>mFRR market data include <strong>BSP bids</strong> (which are comprised of Price, Timestamp, Direction, Quantity, LFC Area…), <strong>TSO demands</strong> (which are comprised of Quantity, Direction, Elasticity, LFC area, Timestamp…). Not all data was made available by the TSOs.</li> </ul> </li> </ol>
European funded projects related to integrated robotic sensing
<p>This repository contains the metadata of 1371 projects in tabular form (combinedProjectData.xlsx). The data was extracted from the European Union’s COmmunity Research and Development Information Service (CORDIS) repository.</p> <p>The dataset was used to support a review of the latest advancements in integrated robotic sensing. CORDIS was interrogated using a Boolean search, combining multiple chosen search terms using precise logical relationships, such as AND and OR. This search approach was used to obtain precise and relevant search results by specifying the relationships among the search terms, saving time and effort while minimising the likelihood of encountering irrelevant or unrelated material. The following Boolean search string was used: “(‘robot’ OR ‘robotic’ OR ‘robotically’ OR ‘roboti?ed’) AND (‘non-destructive’ OR ‘inspection’ OR ‘evaluation’ OR ‘NDT’ OR ‘NDE’ OR ‘sensing’ OR ‘sensor’)”. This resulted in searching projects whose title and short description (teaser) contained at least one of the words in the first set of brackets and at least one in the second set. Note that the “?” in ‘roboti?ed’ allowed looking for the presence of both the British English word “robotised” and the respective American English version “robotized”.</p> <p>Additionally, the search results were filtered according to the funding schemes. For the sake of reviewing the recent landscape, only projects funded through the HORIZON 2020 and HORIZON EUROPE schemes were considered. The described filtered search returned 1371 projects. The resulting metadata was extracted from the CORDIS repository for each of the found projects: the project start date, the end date, the total cost, the total EU contribution, the fields of science related to the project, the coordinating institution, and the participating institutions. The fields of science of each project are given as a list of strings detailing the fields of science related to the project. Each string shows a variable-depth hierarchy from the broadest classification to specific fields (e.g., “engineering and technology/materials engineering/composites”), following the hierarchical framework adopted by the European Commission. Finally, whereas each project has one and only one coordinator, it can have none, one or multiple participants. For the coordinator and each participant (if present), the following information was extracted: country of the coordinating/participating institution, amount of EU contribution received, amount of other funds available to the institution and the project outcome in terms of peer-reviewed journal papers, conference contributions and filed patents.</p> <p>Thus, the project metadata extracted from CORDIS was thoroughly analysed. The "fieldsOfScience_SunburstPlot.xlsx" file contains a sunburst chart that offers a lucid overview of the diverse scientific disciplines of the selected projects. The analysis of the fields of science strings has revealed a hierarchical depth going up to the seventh classification level, showing great permeance of robotic NDT and robotic sensing into numerous and specific fields.</p>
Data related to feedstock supply, logistics and engineering work for Pilot 5 (Biosolvents) in WaysTUP! project
<p><span>The objectives of this dataset were to describe the feedstock supply, logistics and engineering work carried out for PILOT 5. A description of the design, construction and final start-up of the pilot is also included. </span><span>PILOT 5 is located in Athens (Greece). Feedstock material is source-separated biowaste provided by the Municipality of Vari-Voula-Vouliagmeni under the supervision of SUST. The necessary logistics for continuous and stable feedstock supply were arranged by SUST and verified by NTUA. </span><span>PILOT 5 is a pre-existing installation developed in the framework of the LIFE WASTE2BIO project (LIFE11 ENV/GR/000949 and</span><span> is installed in the premises of NTUA</span><span>. For the purposes of the WaysTUP!, this prototype plant was upgraded in order to meet the project’s needs. </span><span>It includes a dehydration unit, a bioconversion unit and a distillation unit for the recovery of the produced ethanol. The working volume of the bioreactors is 400L and up to</span><span> </span><span>80kg/d dried biowaste could be treated depending on the selected operational parameters. </span></p>
Data related to the conduction of WACs in each Pilot of the project WaysTUP!
<p><span>The objective of this dataset is to report on the development of a representative methodology for the conduction of Waste Analysis Campaigns (WACs) of all different types of urban biowaste that will be used as feedstocks for the biobased products within WaysTUP!. These include: meat waste, fish waste, coffee waste, source separated biowaste, used cooking oils, coffee oil from spent coffee grounds, cellulosic rejections of MSWTP, nappies, carton and paper rejections of MSW, sewage sludge, olive oil mill waste and sawdust. T</span><span>he methodology for setting up a WAC is proposed suggesting strict sampling plans, sampling procedures and preservation times in order to ensure that the outcomes of the samplings are representative. This dataset also includes a common protocol for laboratory analysis for the detailed physicochemical characterization of urban biowaste according to the needs and specifications of each pilot plant and feedstock. T</span><span>he laboratory protocol includes the methods of typical analyses that must be performed according to the type (solid, oil etc.) of samples. Guidelines for the uniform representation of results are also included indicating that t</span><span>he sampling records must also accompany the characterization reports.</span></p>
PERCEIVE: WP2: Evaluation of EU citizens' perception of the EU project: Task2.1: Data relative to regional performance of the Cohesion Policy and institutional quality
<p>1. PERCEIVE regional panel datasets - secondary data collected from Eurostat, EU Commission on Strutural Fund Expenditures and quality of government for NUTS 1, 2 and 3 regions from 1990-2015, (STATA files). See codebook for more detail about variables</p> <p>2. Flash Eurobarometer survey data on "Awarness of EU Regional Policy" and questionaires (STATA files)</p> <p>3. Standard Eurobaromter survey data, annual, from 2000-2016 and questionaires (STATA files)</p> <p>4. Expenditure data on EU Structural Funds, latest three budget periods (2000-2020) (Excel file)</p> <p>5. codebook for all regional data</p>
Gold, Lanthanum, Gallium, Cobalt and Tantalum quantification performed with relative standardization-NAA in candidate electronic waste (LED) reference material within the METROCYCLEEU project
<p>Datasets containing uncertainty budgets of measurements performed with Neutron Activation Analysis (NAA) on electronic waste materials (specifically light-emitting diodes, LED).</p> <p>Results reported in the datasets are part of the characterization of CRM candidate material LED.</p> <p>Data are elaborated and resulting dataset files are obtained with INAA-INRIM 3.1 software, pre-release development version.</p>
EGP Mitochondrial Genome Analysis on 1000 Genomes Project 698 Related Whole-Genome Sequencing Data
<div> <p><strong>Summary: </strong>This dataset consists of running EGP version 1.3 on whole-genome sequencing data from the 1000 Genomes Project 698 Related Dataset. The link to EGP is here https://github.com/tycheleturner/ElGenomaPequeno.</p> <p><strong>Author: </strong>Tychele N. Turner, Ph.D.</p> <p><strong>Short Writeup: EGP version 1.3 on 1000 Genomes Project 698 Related Dataset</strong>: Short-read WGS CRAM files were downloaded through the paths present in this file <code>https://ftp-trace.ncbi.nlm.nih.gov/1000genomes/ftp/1000G_2504_high_coverage/additional_698_related/1000G_698_related_high_coverage.sequence.index</code>. The results are shown below:</p> <div> <table> <tbody> <tr> <td>Public Dataset</td> <td>EGP Result File Type</td> <td>MD5</td> </tr> <tr> <td>1000 Genomes Project 698 Related</td> <td>Mitochondrial Genome Fasta Files for MEGA</td> <td>322038d61b4da2e937b32410613c3532</td> </tr> <tr> <td>1000 Genomes Project 698 Related</td> <td>Mitochondrial Genome MitoMaster Result File</td> <td>36c782c12245100478903f7fa191a402</td> </tr> <tr> <td>1000 Genomes Project 698 Related</td> <td>Mitochondrial Genome Variant Tables</td> <td>68b2a51361ffae4e7ad9d420b8becd38</td> </tr> <tr> <td>1000 Genomes Project 698 Related</td> <td>Mitochondrial Genome Copy Number</td> <td>1e83c8ae132b0a7ef33b090757b29063</td> </tr> </tbody> </table> <p>Please note: I have found that with Zenodo you must use "Download All" for the copy number table to properly open.</p> </div> <p> </p> </div> <h2> </h2>
Dataset related to the publication "Simulation of pressure-induced cavity deformation – the 18SIB04 Quantumpascal EMPIR project"
<p>The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.</p>
Results and input data related to the case study 3 of the openENTRANCE project - version 20062023
<p>This dataset comprises the main results of case study 3 of the openENTRANCE project. Additionally, input data related to the power generation system and renewables profiles are included in the dataset.</p>
Fourier projection algorithm for calculating phonon dispersion relations of crystals
Open the record for dataset details and reuse information.
Data computational model parameters of nociceptive medullary dorsal horn projection neuron from: Opposite regulation of medullary pain-related projection neuron excitability in acute and chronic pain
Open the record for dataset details and reuse information.
Data for the paper 'WISDOM Project - VI. Exploring the relation between supermassive black hole mass and galaxy rotation with molecular gas '
<p>This upload includes the data underlying the MNRAS paper Smith et al. (2020) entitled 'WISDOM Project - VI. Exploring the relation between supermassive black hole mass and galaxy rotation with molecular gas' (arXiv:2010.08565). The full author list is available from the paper, and we request that this paper is cited if this data is used in future publications.</p> <p>The upload includes machine-readable versions (csv) of Tables 3, 4, A1 and A2 of the paper. The upload also includes the calibrated spectra from the two observing programmes (191-18 at the IRAM 30m telescope and 2018-04a at the OSO 20m telescope), and the homogenised spectra used in the project. Full descriptions are given in the paper. </p> <p>Table 3: CubeData.csv; The table contains the determined line widths, inclinations, and SMBH masses used for the resolved sample of this project. The references from which the cubes were obtained, are listed in Table 3 of the paper.</p> <p>UnresolvedData.csv: Table 4; The table contains the determined line widths, inclinations, and SMBH masses used for the unresolved sample of this project. The references from which the spectra were obtained, are listed in Table 4 of the paper.</p> <p>IRAMData.csv: Table A1; The table contains a list of galaxies observed using the IRAM 30m telescope as part of project 191-18. For each galaxy the rms noise is listed, and for detected galaxies the spectrally-integrated line intensity measured over the specified velocity range given. The inferred molecular gas mass is also listed. </p> <p>OSO20mData.csv: Table A2; The table contains a list of galaxies observed using the OSO 20m telescope as part of project 2018-04a. For each galaxy the rms noise is listed, and for detected galaxies the spectrally-integrated line intensity measured over the specified velocity range given. The inferred molecular gas mass is also listed. </p> <p>IRAM30m_191-18.tar: Calibrated spectra from programme 191-18.</p> <p>OSO2018-04a.tar: Calibrated spectra from programme 2018-04a.</p> <p>ResolvedSample.tar: Homogenised spectra for the spatially-resolved sample. Note that some spectra were sourced from other works, the original references are given in the fits headers.</p> <p>UnresolvedSample.tar: Homogenised spectra for the spatially-unresolved sample. Note that some spectra were sourced from other works, the original references are given in the fits headers.</p>
FIGURE 11 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 11. Chrysis (Pentachrysis) zharptitza Semenov-Tian-Shanskij. Image taken from the manuscripts.
FIGURE 16 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 16. Handwritten locality labels by Linsenmaier: A) original label handwritten in 1949; B) label probably rewritten in the 1980s.
FIGURE 17 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 17. Type labels handwritten by Linsenmaier, based on specimens described in 1951: A) original label handwritten in 1951 (C. ignita var. mediata Linsenmaier, 1951); B) label rewritten probably in 1959 (H. amoenula var. virideaurata Linsenmaier, 1951); C) label rewritten in 1959 (original combination C. germari var. lucida Linsenmaier, 1951).
Dataset related to diabetes phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).
<p>Dataset related to diabetes phase 2 of the project "Transition care between adolescent and adult services for young people with chronic health needs in Italy", funded by the Italian Ministry of Health (RF-2019-12371228).</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.