Find research datasets worth reusing

opencc-by-4.0Jun 2023View details →

Associated data underlying the article "Assessment of the Croatian Open Data Portal Using User-Oriented Metrics"

Associated data underlying the article  Miletić, A.; Kuveždić Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics. ISPRS Int. J. Geo-Inf. 2023, 12, 185. <a href="https://doi.org/10.3390/ijgi12050185">https://doi.org/10.3390/ijgi12050185</a> Article Abstract: Open data portals are web services that serve as a central access point for all government-published open data and can exist at local, regional, national, and international levels. They are an important element of most open data initiatives that have enabled a large amount of government data to be widely available. However, data quantity and quality are not the only aspects that should be considered when publishing data. To improve the reusability of data and to achieve greater impact and benefits from open data, it is important to consider user-oriented aspects of the portal management, discovery, and use of data (e.g., organizing the portal in a user-centric way, providing accurate metadata, using a standardized and open data format, etc.). In this paper, we adopted the metrics proposed by the European Commission to assess compliance of the Croatian Open Data Portal with 10 user-oriented principles that open data portals should implement in terms of sustainability and added value. While the results show the government’s efforts in publishing data, some aspects such as better collaboration with data providers and other data portals, offering different visualization tools, etc. need to be improved to achieve active use and impact. Keywords: open data; open data portal; assessment; user experience; data reuse

Associated data underlying the article "OPEN GOVERNMENT DATA (OGD) IN EUROPEAN EDUCATIONAL PROGRAMS CURRICULUM CURRENT STATE AND PROSPECTS"

Associated data underlying the article Rizun, Nina; Ciesielska, Magdalena; Alexopoulos, Charalampos; Saxena,Stuti; Papageorgiou, Georgios  International Conference on Open Data (ICOD 2022): Book of abstracts, Faculty of Law, University of Zagreb, Zagreb, Croatia, pp. 26-29 (978-953-270-167-8). <pre><a href="https://doi.org/10.5281/zenodo.8069910">https://doi.org/10.5281/zenodo.8069910</a></pre> It is everybody’s knowledge now that Open Government Data (OGD) pertains to the availability of datasets pertaining to government operations and functioning via license-free formats (Afful-Dadzie and Afful-Dadzie, 2017) and these datasets are linked with different themes contingent upon the area of administration like energy, education, climate, tourism, environment, infrastructure, etc. (Ubaldi, 2013). Governments have been benchmarking their OGD initiatives across standard indices like ODIN, OKFN, Open Data Barometer, etc. (Lnenicka et al., 2022; Lnenicka and Nikiforova, 2021) and ample research exists on assessing the quality of OGD portals from the demand (i.e. the governments’ efforts at maintaining the quality of datasets) and supply (i.e. the perceptions of users regarding the quality of datasets) side (Crusoe et al., 2019; de Souza et al., 2022; Islam et al., 2021; Kaasenbrood et al., 2015; Khurshid et al., 2022; Lnenicka et al., 2022; Purwanto et al., 2020; Saxena and Janssen, 2017; Shehata and Elgllab, 2021; Talukder et al., 2019; Weerakkody et al., 2017; Wirtz et al., 2016; Wirtz et al., 2018; Wirtz et al., 2019; Zuiderwijk et al., 2015). Given the magnitude of academic interest on OGD- especially in the last 10 years- it remains to be assessed as to how far has the domain progressed in the academic environs and surprisingly, no research has been conducted to elucidate the infusion of this very significant domain- that is relatable to the extent to which the governments are forwarding their claims regarding the furtherance of transparent and corruption-free administration apart from bolstering citizen participation, collaboration and trust (Gil-Garcia et al., 2020; Hellberg and Hedstrom, 2015) besides serving as a means for value creation and innovation by a range of stakeholders (Jetzek et al., 2012; Jetzek et al., 2014) - in the diverse platforms that are meant for furthering academic dialogue and discussion.

Raw data for article "Iron-catalyzed synthesis of α-azido α-amino esters via the alkylazidation of alkenes"

Raw NMR, IR and MS data for the article "Iron-catalyzed synthesis of α-azido α-amino esters via alkylazidation of alkenes" published in Org. Lett. The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.

Data for article RELATIONSHIP BETWEEN XYLENE, RQ XYLENE CONCENTRATION AND HEART FUNCTION IN INDUSTRIAL WORKERS IN SURABAYA

Data for article titile: <a href="https://f1000research.com/author/version/153614?isContinueSubmission=true">RELATIONSHIP BETWEEN XYLENE, RQ XYLENE CONCENTRATION AND HEART FUNCTION IN INDUSTRIAL WORKERS IN SURABAYA</a>

Supporting material for the article "Insights on the brachinite parent body: a petrological and microstructural study of 10 brachinites"

This upload contains the dataset of the 10 brachinites concerned by the study "Insights on the brachinite parent body: a petrological and microstructural study of 10 brachinites". All files are paired as cpr and crc files, and can be processed with AZtec crystal or MTEX (open-source Matlab toolbox available at https://mtex-toolbox.github.io/).

Dataset and R-script for Article: Increased heat tolerance of geothermal plants comes at the cost of reduced performance under cooler conditions

Dataset and R-script for Article "Increased heat tolerance of geothermal plants comes at the cost of reduced performance under cooler conditions" to be published in the Journal "Ecology and Evolution"

opencc-by-4.0Jun 2023View details →

Dataset for the article "Polarizable Embedding Potentials through Molecular Fractionation with Conjugate Caps including Hydrogen Bonds"

This dataset contains additional material related to the article: "Polarizable Embedding Potentials through Molecular Fractionation with Conjugate Caps including Hydrogen Bonds". The published article can be found at <a href="https://doi.org/10.1021/acs.jctc.3c00613">https://doi.org/10.1021/acs.jctc.3c00613</a>. A preprint is freely available at <a href="https://doi.org/10.26434/chemrxiv-2023-vb01m-v2">https://doi.org/10.26434/chemrxiv-2023-vb01m-v2</a>. Each folder contains a Readme.md for further description.

Supplemental Material to Article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades"

This set supplements the figure data to the article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades", DOI: xxx

Publications reviewed in the article: Mountain protective forests under threat? An in-depth review of global change impacts on their protective effect against natural hazards

Detailed list of publications included in the review " Mountain protective forests under threat? An in-depth review of global change impacts on their protective effect against natural hazards" (Moos et al. 2023), including the type of global change impacts and protective service they address, the reported change in protective effect, whether the reported change is quantitative and linked to risk, the methods used to assess the change in the protective effect, country where the study area is located, and the scale of the study.

opencc-by-4.0Nov 2022View details →

Supporting Information for the article "Exploring Photoredox-Catalyzed (Re)functionalizations with Core-Modified Benziodoxolones"

Complete supporting information for the article:  "Exploring Photoredox-Catalyzed (Re)functionalizations with Core-Modified Benziodoxolones" published on 21.11.2022 in Helvetica Chimica Acta <a href="https://doi.org/10.1002/hlca.202200161">https://doi.org/10.1002/hlca.202200161</a> This file contain all the data on general methods, reaction optimization and compound synthesis and characterization.

opencc-by-4.0May 2022View details →

TG 100 focused peer reviewed article summary - June2022

A collection of peer reviewed papers that use TG-100 tools. This reference matrix gives a quick way to browse relevant publications

Data repository supporting the JGR article: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming

This dataset contains the meteor radar wind measurements and the background atmospheric data fields used to produce the results in the Journal of Geophysical Research - Space Physics article titled: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming. The nav_2013_ERAn_1dm_grid.dat file contains gridded latitude-longitude-altitude daily mean winds and temperatures for the composite atmosphere described in the article. The full range of dates span from the 1st of December 2012 to the 1st of April 2023. The composite atmosphere is constructed using ERA5 winds and temperatures below 85 hPa, NAVGEM-HA winds and temperatures between 85-0.001 hPa, and HWM14 + MSISE00 winds and temperatures above 0.001 hPa. The meteor_radars.zip file contains a folder containing the hourly meteor radar wind measurements for the Collm (Col), CMOR (CMO), and Kiruna (Kir) radars, as described in the supporting paper. The .hdf5 files contain both the horizontal and meridional wind measurements for December, January, February, and March (winter of 2012/2013).

Data repository in support of the article: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming

opencc-by-4.0Jun 2023View details →

Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (<a href="https://doi.org/10.26434/chemrxiv-2023-sgvt0">https://doi.org/10.26434/chemrxiv-2023-sgvt0</a>). The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data. The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (<a href="https://doi.org/10.26434/chemrxiv-2022-rn77b-v3">https://doi.org/10.26434/chemrxiv-2022-rn77b-v3</a>), along with a Jupyter Lab file that illustrates the data processing procedure. The file "Original_data_in_npy_format.zip" contains all original data from SEM/EDX and RM experiments. We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.

opencc-by-4.0Oct 2020View details →

Data set used in article: On the Potential of Reduced Order Models for Wind Farm Control: A Koopman Dynamic Mode Decomposition Approach

Step-wise pitch simulation of two wind turbines interacting using SOWFA. More information in the paper.

Data used in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent"

This repository contains data allowing for reproduction of research described in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent". Each zip archive available in repository contains: <ul> <li>Thermal images produced using Zenmuse H20T camera (rjpg directory)</li> <li>Geojson vector shape of river centerline (centerline.json file)</li> <li>Configuration file used by Python implementation available at https://github.com/radekszostak/aerial-thermal-tuner (config.py file)</li> </ul>

Results and log of LLM-KG-Bench runs described in article "Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?", Frey et al. 2023

Results and log of LLM-KG-Bench runs described in article ""Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?", Frey et al. 2023, to appear in proceedings for workshop DL4KG@ISWC 2023. For data on task FactExtractStatic please contact authors.

Data-set for "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research.

Dataset for the article:  "Reliability and operation cost of underdamped memories during cyclic erasures" (Research Article, No. apxr.202300074) to Advanced Physics Research.  <ul> <li>FigX.fig: Matlab format figure source used to draw all of the plots of the article, embedding the all data.</li> <li>evolution_K.m: Matlab code file that implement the Repeated Erasure model and compute the success rate of the erasure from the temperature evolution computed from the model.</li> <li>Model_Landauer_enchaine.m: Matlab code file. Function which uses the SE Model to calculate the evolution of all the energy quantities (average) during step 1 and step 2 starting at an initial temperature CI, and also renders the final temperature conditions to be used iteratively in the RE Model.</li> <li>Toy_Model.m: Theoretical toy model for explaning the Landauer repeted erasures temperature evolution.</li> <li>Analysis_repeated_erasure.m: Matlab code file to treat raw data .mat files of 45 repeated erasures to compute the energy, work and heat evolution. The average is done on the full raw data samples corresponding to thousands of 45 repeated erasures.</li> <li>XmsRawData.zip: Raw data of 45 repeated erasures of duration X ms each. Those Matlab data files are meant to be analysed with the Analysis_repeated_erasure code. Among the usefull variables contained in those files we identifiy :</li> </ul> <ol> <li>V: applied protocol, position of center of the wells in nm</li> <li>x: position signal in nm</li> <li>sigma_m: calibration of the standard deviation used by the feedback</li> <li>x0: threshold of the virtual potential</li> <li>tau1: duration of step1</li> <li>tau2: duration of step 2</li> <li>tau4: half resting time between step1 and step2</li> <li>X1: initial  half distance between the wells</li> <li>dt: acquisition sampling time</li> </ol>

Data set for the article: Modifying twist algorithms for determining the key length of a Vigenere cipher

Data supporting the work in the article: Modifying twist algorithms for determining the key length of a Vigen\`{e}re cipher.

Data for article Agricultural input shocks affect crop yields more in the high-yielding areas of the world

This repository contains the agricultural input data of 12 crops used in the article analysis. The agricultural inputs used are (unit in parentheses): <ul> <li>nitrogen (kg/ha)</li> <li>phosphorus (kg/ha)</li> <li>potassium (kg/ha)</li> <li>machinery (1000 metric horsepower cv)</li> <li>herbicides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>fungicides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>insecticides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>other pesticides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>soil organic carbon (t/ha)</li> <li>soil phosphorus (mg/kg(</li> <li>soil nitrogen (t/ha)</li> <li>non-mineral nitrogen (kg/ha)</li> <li>non-mineral phosphorus (kg/ha)</li> <li>irrigation (% of area under irrigation)</li> <li>agricultural workers (persons)</li> </ul> This repository also includes the analysis results of yields after agricultural input shocks. This data is in rasters named e.g. wheat_phosphorus_shock_75.tif, meaning that this file contains the yield data (t/ha) for wheat after a 75% shock in phosphorus input. Rasters are provided for the following: <ul> <li>yields after 25%, 50% or 75% nitrogen shock</li> <li>yields after 25%, 50% or 75% phosphorus shock</li> <li>yields after 25%, 50% or 75% potassium shock</li> <li>yields after 25%, 50% or 75% machinery shock</li> <li>yields after 25%, 50% or 75% pesticide shock</li> <li>yields after 25%, 50% or 75% shock in all fertilizers (fertilizer shock)</li> <li>yields after 25%, 50% or 75% shock in all inputs</li> </ul> In addition, the observed crop yield (t/ha) used to construct the model is provided. Other yield rasters are: <ul> <li>modelled baseline yield (t/ha), used to calculate the yield changes in shock scenarios</li> <li>modelled zero input yield (t/ha), calculated as a scenario with zero fertilizers, machinery and pesticide inputs</li> </ul> Please see the article for references on the datasets.