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.
191
datasets available to search
ShareScore release 0.7.1
Dataset results
191 results for “Transparency”
Clinical Trial Transparency at UK Universities (2018-2021)
<p>This dataset describes the analysis 20 U.K. universities' clinical trial registration and reporting policies and reporting performance of CTIMPs on EUCTR. This is supplementary information on a publication in the journal Clinical Trials: Journal of the Society for Clinical Trials. The manuscript is titled "Improving clinical trial transparency at U.K. universities: evaluating three years of policies and reporting performance on the European Clinical Trial Registry (EUCTR)". Please refer to the manuscript for more information on the methodology and analysis.</p>
Comparison of black and transparent PMMA in the cone calorimeter
<p>This data set is a supplementary resource for the article "Comparison of Black and Transparent PMMA in the Cone Calorimeter", which will be published by ASTM international for the ASTM 42nd symposium on Obtaining Data for Fire Growth models. </p> <p>The information is structured into multiple *.zip folders. The directory named 'black' contains the data-files for the Black PMMA samples. The directory called 'transparent' contains the data-files for the Transparent PMMA samples. </p> <p>The files are structured in the following way: </p> <ul> <li>Name: Material_color_measurement_heatflux_repetition (e.g.: PMMA_Black_HRR_25kWm2_R1).</li> <li>Each HRR file contains the following columns: Time in seconds, CO concentration in Vol%, CO2 concentration in Vol%, O2 concentration in Vol%, heat release rate per unit area in kW/m2. </li> <li>Time t=0s corresponds to opening the shutter.</li> </ul> <p>These files are not the raw data. CO, CO2 and O2 concentrations are measured as a voltage signal. This voltage signal is converted to a volume percentage using the calibration of the gas analyzer. The gas analyzer was calibrated at the beginning of every day. The analyzer showed a small drift over the time of the experiment. Therefore, a drift correction was done on the measured values. The concentrations in the data files have been corrected for this drift. The corrected concentrations were used to calculate the heat release rate. A surface area of 0.0088m2 was used to calculate the HRR per unit area.</p>
3D reconstructions of semi-transparent submerged objects: Nanomia, Cystisoma, and validation object
<p>These data were used to support the conclusions published in the article titled, "New method for rapid 3D reconstruction of semi-transparent underwater animals and structures", accepted for publication in Integrative Organismal Biology on May 9th, 2023.</p> <p>It focuses on three physical objects, two of which were live animals, collected under permit in the Monterey Bay NAtional MArine Sanctuary:</p> <ul> <li>A siphonophore of the species <em>Nanomia bijuga</em></li> <li>An amphipod of the family <em>Cystisoma</em></li> <li>A thin-walled plastic cylinder, for validation purposes.</li> </ul> <p>For each of these objects, we provide the original .cine file, as recorded by the Phantom 640S highspeed camera, and the derived high-quality .mov video file. We exported video frames as image stacks, included as ZIP files in this repository. We chose to either extract the red or green channel, or a balanced luminance value of each frame. Background subtraction was performed in some cases, by applying a minimum filter or median filter with a certain Z (time axis) extent, and subtracting this from the original frames. Furthermore, additional smoothing was performed in some cases as indicated by the filenames, in the form of a median filter with an X-by-Y-by-Z extent.</p> <p>3D Slicer software was used for segmentation, and bundled .mrb files are included, which have been tested with 3D Slicer version 5.0.3. Derived .STL or .PLY model files are included as well.</p>
Snapshot data in Parquet format from ENTSO-E Transparency Platform
<p>This is a snapshot of the following three datasets downloaded from the <a href="https://transparency.entsoe.eu/content/static_content/Static%20content/knowledge%20base/SFTP-Transparency_Docs.html">ENTSO-E Transparency Platform SFTP</a>:</p> <ol> <li>ActualTotalLoad (6.1.A)</li> <li>AggregatedGenerationPerType (16.1.B C)</li> <li>DayAheadPrices (12.1.D)</li> </ol> <p>The data has been downloaded and converted from CSV to Parquet using the package {arrow} in R.</p> <p><strong>WARNING</strong>: as <a href="https://github.com/energy-modelling-toolkit/entsoe-tp-survival-kit">I have explained here</a>, the data in the Transparency Platform changes every day. This means that the data contained in these files may be different from the data currently shown on the website or available via the APIs.</p>
A Transparent Elasticized Adhesive Occlusive Compression Bandage for Use as an Arterial Tourniquet
ClinicalTrials.gov study NCT02592655. IPD Sharing: YES. Countries: 1. Publications: 7.
Data from the ENTSO-E Transparency Platform - SQLite files
<p>Data extracted from the ENTSO-E Transparency Platform (transparency.entsoe.eu/).</p> <p> </p> <p>## AggregatedGenerationPerType (UPDATED 5/1/2021)</p> <p>Data in SQLite format. Timestamps (fields Datetime and Submission) are stored as seconds since 1970-1-1.</p> <p>CREATE TABLE gen_data<br> (Datetime INTEGER,<br> Submission INTEGER,<br> Resolution TEXT,<br> Area TEXT,<br> Type TEXT,<br> Generation REAL,<br> Consumption REAL,<br> PRIMARY KEY (Datetime, Area, Type))<br> </p>
Annex - Information Technology as Enabler of Transparency in Food Supply Chains
<p>This is the Annex of the paper: Information Technology as Enabler of Transparency in Food Supply Chains</p>
Data from: Modelling and simulation of a thermally induced optical transparency in a dual micro-ring resonator
This paper introduces the simulation and modelling of a novel dual micro-ring resonator. The geometric configuration of the resonators, and the implementation of a simulated broadband excitation source, results in the realization of optical transparencies in the combined through port output spectrum. The 130 nm silicon on insulator rib fabrication process is adopted for the simulation of the dual-ring configuration. Two titanium nitride heaters are positioned over the coupling regions of the resonators, which can be operated independently, to control the spectral position of the optical transparency. A third heater, centrally located above the dual resonator rings, can be used to red shift the entire spectrum to a required reference resonant wavelength. The free spectral range with no heater currents applied is 4.29 nm. For a simulated heater current of 7 mA (55.7 mW heater power) applied to one of the through coupling heaters, the optical transparency exhibits a red shift of 1.79 nm from the reference resonant wavelength. The ring-to-ring separation of approximately 900 nm means that it can be assumed that there is a zero ring-to-ring coupling field in this model. This novel arrangement has potential applications as a gas mass airflow sensor or a gas species identification sensor.
Dataset from paper: "Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency"
<p>This repository contains the processed data used in the publication of Heinrich et al., 2023 (Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency). Carbon Balance and Management: https://cbmjournal.biomedcentral.com/articles/10.1186/s13021-023-00240-2 </p><p>When using this data, full reference to the raw data publications and the publication Heinrich et al., 2023 must be made.</p><p>The raw datasets used in this study are all available from their original sources.</p><p> </p>
Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors
<p>This dataset contains the measurement data for figures (graphs) published in journal article:</p><p>Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors</p><p>by Ronja Valasma, Eva Bozo, Olli Pitkänen, Topias Järvinen, Aron Dombovari, Melinda Mohl, Gabriela Simone Lorite, Janos Kiss, Zoltan Konya and Krisztian Kordas</p><p>Published 11 May 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd</p><p>Nanotechnology, Volume 31, Number 30</p><p>Citation: Ronja Valasma et al 2020 Nanotechnology 31 305303</p><p>DOI 10.1088/1361-6528/ab8590</p>
Dataset of "Assessment of transparency and selective reporting of interventional trials studying colorectal cancer"
<p>This is the dataset used for our work "Assessment of transparency and selective reporting of interventional trials studying colorectal cancer". </p> <p>Trials included were identified through ClinicalTrials.gov.</p> <p>This dataset is presented in the form of an excel sheet with each line corresponding to a different trial (NCT number).</p>
Supporting information for v2 of ``A Transparent Window into Early-Type Stellar Variability''
<p>These folders contain grids of main-sequence stellar models computed four different metallicities and masses varying from 0.1-60 MSun. Models were computed using MESA r15140 following commit `964e07d` in this GitHub repo: https://github.com/adamjermyn/conv_trends.</p> <p>Changes from the previous version include:</p> <p>- Fixed a bug in calculating certain averages over the convection zone.</p> <p>- Incorporated the effects of radiation pressure on the Rayleigh number.</p> <p>- Increased time resolution of models.</p> <p> </p> <p>The metallicities are as follows:</p> <p>main_Z_time_2022_01_18_13_56_00_sha_ef8c - Z = 0.002 (SMC)</p> <p>main_Z_time_2022_01_18_13_56_06_sha_adbd - Z = 0.006 (LMC)</p> <p>main_Z_time_2022_01_18_13_56_13_sha_e814 - Z = 0.01<br> main_Z_time_2022_01_18_13_56_19_sha_f7ec - Z = 0.014 (MW)</p>
Uninvited Guests: Analyzing the Identity and Behavior of Certificate Transparency Bots - Dataset Artifact
<p>Curated dataset of CT bots as described in our paper, "Uninvited Guests: Analyzing the Identity and Behavior of Certificate Transparency Bots".</p>
Computational Prediction and Experimental Realisation of Earth Abundant Transparent Conducting Oxide Ga-doped ZnSb2O6 - computational datasets
<p>Additional computational data for our publication on Ga-doped ZnSb2O6. This repository contains two files related to the defect calculations ("new-defect-corrections.json" and "aide-plotter"), which contain data concerning the charge correction schemes and total energies of all defect species, and the charge transition levels (which can be used to repeat the SCFL analysis), respectively. The other two files are the AMSET output files, which can be used to plot all the calculated charge transport data used in this study. Documentation for plotting using these files is provided at https://github.com/hackingmaterials/amset.</p> <p>Contact:</p> <p>joe.willis.15@ucl.ac.uk; d.scanlon@ucl.ac.uk</p>
Supplementary Data for "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals"
<p>Supplementary data for: https://zenodo.org/record/7129250</p>
ERCAS Transparency Index (T-index) 2022
<p>The Computer Mediated Government Transparency Index (T-index) provides an <strong>assessment of government transparency</strong> based on different kinds of public information services that governments offer to their citizens, encompassing both <em>de jure</em> (signature of treaties and implementation of laws) and <em>de facto</em> (actual availability of data online) aspects of transparency. This index is an important tool for governments and civic actors around the world. Items missing on the index are a guide for transparency advocates.</p> <p>Read more on the <a href="https://corruptionrisk.org/t-index-methodology">T-index Methodology</a>.</p>
Comparison of measurement protocols for internal channels of transparent microfluidic devices - datasets
<p>Supplementary material to "Comparison of measurement protocols for internal channels of transparent microfluidic devices" submitted to Micromachines.</p> <p>Data accompanying comparison of measurement protocols.</p> <p> </p> <p>Further readings can be found at <a href="https://mfmet.eu/publications">https://mfmet.eu/publications</a></p> <p>The project (20NRM02 MFMET) have received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Transparent TiO2 nanotubes supporting silver sulfide for photoelectrochemical water splitting
<p>The following dataset contains research data that is the basis of the research article:</p> <p>"Transparent TiO2 nanotubes supporting silver sulfide for photoelectrochemical water splitting"</p> <p>Contents of the package are the following:</p> <p>a) Experimental results of impedance spectra recorded for fTiNT and gTiNT</p> <p>b) Experimental results of UV-vis absorbance for Ag2S-coated and non-coated fTiNT, and gTiNT </p> <p>c) Cyclic voltammetry carried out in 0.5 M Na2SO4 and Raman spectra for 25-Ag2S/gTiNT electrode </p> <p>d) Cyclic voltammetry carried out in 0.1 M NaOH and Raman spectra for 45-Ag2S/gTiNT electrode </p> <p> </p>
Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode
<p>Characterisation dataset for “<span>Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode</span>”, DOI:xx. Data for main and supporting figures provided as *.xlsx and *.txt files.</p>
Data supporting the publication "Optimized Sandwich and Topological Structures for Enhanced Haptic Transparency"
<p>This dataset includes experimental modal responses of sandwich and topological structures, which are designed to enhance haptic transparency. </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.