Find research datasets worth reusing

Data collection for article "Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar"

This dataset contains supply, demand, and flow maps from nine ecosystem service models (as layer files in .tif format) underlying the publication "Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar".

Data collection for article "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar"

This dataset contains 46 transcripts from semi-structured interviews and focus group discussions. An overview of the interviews is additionally provided, as well as information on the encoding. These data underlie the publication "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar".

Data archive for the peer-reviewed journal article "Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data"

Data archive accompanying the peer-reviewed journal article "Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data". This article was accepted for publication in the journal Atmospheric Measurement Techniques in 2022. The original contributions presented in the study are included in the article and its supplementary information. The GRASP-OPEN model was used to perform forward calculations: this model is publicly available on the official GRASP website (https://www.grasp-open.com/; last access: 14 September, 2022). The specific GRASP-OPEN model outputs that were used for the study are contained in this data archive.

Data and model code for article "Wildflower phenological escape differs by continent and spring temperature"

This dataset contains seven spreadsheets and one R script. The spreadsheet "NC_Lee_etal_data.xls" contains the master data file associated with the article "Wildflower phenological escape differs by continent and spring temperature", along with a metadata sheet that describes the column names. The other six spreadsheets contain the continent (EA = East Asia, ENA = Eastern North America, and EU = Europe) x lifeform (forbs or trees) specific datasets used in the supplementary models containing spatial autocorrelation terms. The script contains annotated example code to run the models used in the final analysis. Questions about the code or analysis should be directed to the lead author (Benjamin R Lee).

opencc-zeroSep 2022View details →

dryad40/100

Data belonging to the article: Estimating pre-harvest density, adult sex ratio and fecundity of white-tailed deer using wildlife cameras

Adult sex ratio and fecundity (juveniles per female) are key population parameters in sustainable wildlife management, but inferring these requires abundance estimates of at least three age/sex classes of the population (male and female adults and juveniles). Prior to harvest, we used an array of 36 wildlife camera traps during 2 and 3 weeks in the early autumn of 2016 and 2017 respectively. We recorded white-tailed deer adult males, adult females and fawns from the pictures. Simultaneously, we collected fecal DNA (fDNA) from 92 20mx20m plots placed in 23 clusters of four plots between the camera traps. We identified individuals from fDNA samples with microsatellite markers and estimated the total sex ratio and population density using Spatial Capture Recapture (SCR). The fDNA-SCR analysis concluded equal sex ratio in the first year and female bias in the second year, and no difference in space use between sexes (fawns and adults combined). Camera information was analyzed in a Spatial Capture (SC) framework assuming an informative prior for animals' space use, either (1) as estimated by fDNA-SCR (same for all age/sex classes), (2) as assumed from the literature (space use of adult males larger than adult females and fawns), (3) by inferring adult male space use from individually-identified males from the camera pictures. These various SC approaches produced plausible inferences on fecundity, but also inferred total density to be lower than the estimate provided by fDNA-SCR in one of the study years. SC approaches where adult male and female were allowed to differ in their space use suggested the population had a female-biased adult sex ratio. In conclusion, SC approaches allowed estimating the pre-harvest population parameters of interest and provided conservative density estimates.

opencc-by-4.0Dec 2022View details →

Figure 1 in HighRes for journal article "Critical digital literacy as a key for (post)digital citizenship: an international review of teacher competence frameworks"

Detail for the figure: Figure 1. Location and scope of the sample of TCFs analysed in this study. Created with mapchart.net In the following article: Villar-Onrubia, D., Morini, L., Marín, V. I., & Nascimbeni, F. (2022). Critical digital literacy as a key for (post)digital citizenship: an international review of teacher competence frameworks. Journal of e-Learning and Knowledge Society, 18(3), 128-139. https://doi.org/10.20368/1971-8829/1135697

The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"

The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article.   Table S1. Upregulated genes in Group B versus Groups A and C+D.   Table S2. Downregulated genes in Group B versus Groups A and C+D.   Table S3. The enriched GO terms in Group B versus Groups A and C+D.   Table S4. The enriched KEGG pathways in Group B versus Groups A and C+D.   Figure S1. The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes.

Dataset for the journal article: " In-situ Capillary Pressure and its Interrelationships with Flow Characteristics during Steady-state Three-phase Flow in Water-wet Berea Sandstone"

Dataset 1 contains the summary results of the image analysis performed on a set of three-phase micro-CT  images.  The analysis are:(1) Fluid saturations, (2) Characteristics of Gas clusters, (3) Characteristics of Oil clusters, (4) Pore-fluid occupancy, and (5) In-situ capillary pressure measurements.  Dataset 2 contains the three-phase relative permeability data with the correction analysis.

opencc-by-4.0Jan 2022View details →

Data for "Researchers and their data. A study based on the use of the word data in scholarly articles"

Data is one of the most used terms in scientific vocabulary. This article focusses on the relationship between data and research by analyzing the contexts of occurrence of the word data in a corpus of 72,471 research articles (1980-2012) from two distinct fields (Social sciences, Physical sciences). The aim is to shed light on the issues raised by research on data, namely the difficulty of defining what is considered as data, the transformations that data undergo during the research process and how they gain value for researchers who hold them. Relying on the distribution of occurrences throughout the texts and over time, it demonstrates that the word data mostly occurs at the beginning and at the end of research articles. Adjectives and verbs accompanying the noun data turn out to be even more important than data itself in specifying data. The increase in the use of possessive pronouns at the end of the articles reveals that authors tend to claim ownership of their data at the very end of the research process. Our research demonstrates that even if data handling operations are increasingly frequent, they are still described with imprecise verbs that do not reflect the complexity of these transformations.

opencc-by-4.0Mar 2022View details →

Database that contains all images (plus 180 more) employed in the article: "Image features for quality analysis of thick blood smears employed in malaria diagnosis"

We share with you a bank of images obtained from microscopic fields of thick blood smears employed in the malaria diagnosis, and also the .csv file that contains the labels for each image. The images are saved with a unique name that is found in the first column of the .csv file. The second column contains the labels from each image, according to their unique names. The labeling process was done with the online toolbox Labelbox. Labelbox, "Labelbox," Online, 2020. [Online]. Available: https://labelbox.com  If you are interested in using our database, cite our article as a way to recognize our work. We will be grateful for that.  CITATION: Fong Amaris, W.M., Martinez, C., Cortés-Cortés, L.J. et al. Image features for quality analysis of thick blood smears employed in malaria diagnosis. Malar J 21, 74 (2022). https://doi.org/10.1186/s12936-022-04064-2 URL of our paper: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-022-04064-2 --- This is the link where you can find our images Bank: https://drive.google.com/drive/folders/1Qrv0e4bSEtkeqtPABz-klQp-6D6OjU-X?usp=sharing  It is important you to know that along with this .txt file, we are sharing the .csv file that contains 600 names of images (in the first column) with their respective labels (second column aside) This file corresponds to the instructions of an extended label file related to 600 images (and 600 new labels) in contrast to our previous label file with 420 labels from 420 images (https://www.researchgate.net/publication/359439520_Database420LabelsInstructionstxt ; https://www.researchgate.net/publication/359438904_Database420Labelscsv). Best Regards

opencc-by-sa-4.0Oct 2022View details →

IsiZulu News (articles and headlines) and Siswati News (headlines) Corpora - za-isizulu-siswati-news-2022

IsiZulu News (articles and headlines) and Siswati News (headlines) Corpora - za-isizulu-siswati-news-2022 Reference paper Madodonga, A., Marivate, V., & Adendorff, M. (2023). Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati. Journal of the Digital Humanities Association of Southern Africa, 4(01). https://doi.org/10.55492/dhasa.v4i01.4449   > @article{Madodonga_Marivate_Adendorff_2023, title={Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati}, volume={4}, url={https://upjournals.up.ac.za/index.php/dhasa/article/view/4449}, DOI={10.55492/dhasa.v4i01.4449}, author={Madodonga, Andani and Marivate, Vukosi and Adendorff, Matthew}, year={2023}, month={Jan.} }

opencc-by-4.0Dec 2021View details →

Data used for the article "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".

This is the data used in the HESS paper "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".

Data for research article "Privacy Explanations – A Means to End-User Trust"

Research data for article "Privacy Explanations – A Means to End-User Trust". This package includes the survey and its results.

Data and code for article "Nature reserve customized method of photo and video camera traps materials processing using two-stage neural network approach"

DESCRIPTION 📓 "data" folder directory contains the datasets for classification and detection.  <ol> <li>The detection dataset has YOLOv5 format and contains three classes [tigers, leopards, empty]. The class empty is about 10% of the total data. The leopard and tiger classes contain 3500 images each. The entire amount of data for the detection task is 7600 images.</li> <li>The classification dataset contains two classes [tigers, leopards]. Images for classification are cropped images from the detection task using bounding boxes. Each class has 3500 images</li> </ol>   The "weights" folder contains pretrained models for classification and detection tasks.  <ul> <li>The detector weights were pre-trained on 231k images from camera traps located throughout Russia.</li> <li>The classifier weights were pre-trained on 416k images that were cropped with bounding boxes from photographs for the detection task. Some of the images for the classification task were taken from the Internet. The classifiers were trained for 29 classes.</li> <li>You can also find folder tigers_vs_leopards in both the detection and classification directory, where there are weights that have been trained on a part of the camera trap images available at the link below.</li> </ul> Classification weights <ol> <li>EfficientNetv2-M</li> <li>ResNeSt-101e (🚀 RECOMMENDED)</li> <li>ResNet-101d</li> <li>ReXnet-100</li> <li>SeResNet-152d</li> </ol> Detection weights <ol> <li>YOLOR-W6-1280</li> <li>YOLOX-X-640</li> <li>YOLOv5-X-640</li> <li>YOLOv5-X-1280</li> <li>YOLOv5-M6-1280</li> <li>YOLOv5-L6-1280 (🚀 RECOMMENDED)</li> </ol> Read README.md file for more details

Data set for the journal article: Tandem electrocatalytic CO2 reduction with Fe-porphyrins and Cu nanocubes enhances ethylene production

Copper-based tandem schemes have emerged as promising strategies to promote the formation of multi-carbon products of the electrocatalytic CO2 reduction reaction. In such approaches, the CO-generating component of the tandem catalyst increases the local concentration of CO and thereby enhances the intrinsic carbon-carbon (C-C) coupling on copper. However, the optimal characteristics of the CO-generating catalyst for maximizing eventual C2 production are currently unknown. In this work, we developed tunable tandem catalysts comprising iron porphyrin (Fe-Por), as the CO-generating component, and Cu nanocubes (Cucub) to understand how the turnover frequency for CO (TOFCO) of the molecular catalysts impacts C-C coupling on the Cu surface. First, we tuned the TOFCO of the Fe-Por by varying the number of orbitals involved in the π-system. Then, by coupling these molecular catalysts with the Cucub, we assessed the current densities and faradaic efficiencies, discovering that all of the designed Fe- Por boost ethylene production. The most efficient Cucub/Fe-Por tandem catalyst was the one including the Fe-Por with the highest TOFCO and exhibited a nearly 22-fold increase in the ethylene selectivity and 100 mV positive shift of the onset potential with respect to the pristine Cucub. These results reveal that coupling the TOFCO tunability of molecular catalysts along with copper nanocatalysts opens up new possibilities towards the development of Cu-based catalysts with enhanced selectivity for multi-carbon product generation at low overpotential.

Data from article: "Wide‑field magnetometry using nitrogen‑vacancy color centers with randomly oriented micro‑diamonds"

This repository contains the dataset obtained from the CW-ODMR magnetic imaging experiment with nitrogen-vacancy (NV) centers using a custom-built wide-field setup. Related publication:  Sengottuvel, S., Mrózek, M., Sawczak, M. et al. Wide-field magnetometry using nitrogen-vacancy color centers with randomly oriented micro-diamonds. Sci Rep 12, 17997 (2022). <a href="https://doi.org/10.1038/s41598-022-22610-5">https://doi.org/10.1038/s41598-022-22610-5</a>. Authors: <ul> <li>Saravanan Sengottuvel, (Institute of Physics, Jagiellonian University in Krakow, Poland)</li> <li>Mariusz Mrózek, (Institute of Physics, Jagiellonian University in Krakow, Poland)</li> <li>Mirosław Sawczak, (Szewalski Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Poland)</li> <li>Maciej J. Głowacki, (Gdańsk University of Technology, Poland)</li> <li>Mateusz Ficek, (Gdańsk University of Technology, Poland)</li> <li>Wojciech Gawlik (Institute of Physics, Jagiellonian University in Krakow, Poland)</li> <li>Adam M. Wojciechowski (Institute of Physics, Jagiellonian University in Krakow, Poland)</li> </ul> Abstract:  Magnetometry with nitrogen-vacancy (NV) color centers in diamond has gained significant interest among researchers in recent years. Absolute knowledge of the three-dimensional orientation of the magnetic field is necessary for many applications. Conventional magnetometry measurements are usually performed with NV ensembles in a bulk diamond with a thin NV layer or a scanning probe in the form of a diamond tip, which requires a smooth sample surface and proximity of the probing device, often limiting the sensing capabilities. Our approach is to use micro- and nano-diamonds for wide-field detection and mapping of the magnetic field. In this study, we show that NV color centers in randomly oriented submicrometer-sized diamond powder deposited in a thin layer on a planar surface can be used to detect the magnetic field. Our work can be extended to irregular surfaces, which shows a promising path for nanodiamond-based photonic sensors. Funding: The research was carried out within the TEAM NET programme of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund, project POIR.04.04.00-00-1644/18. This research was funded in part by National Science Centre, Poland grant number 2020/39/I/ST3/02322.  Description of the data:  The dataset consists of 24 individual data files labelled chronologically, starting from f0.fits to f24.fits. The data format is Flexible Image Transport System (FITS). Each FITS file consists of a header and 3-dimensional image data. The header contains the experimental parameters set during data acquisition, which may also be helpful for data analysis. The FITS file can be read using any software (e.g., MATLAB, Python) that supports the FITS file format. An example header:     {'STARFREQ'}    {[                 2700]}                  {' in MHz                                          '}     {'STOPFREQ'}    {[                 3000]}                  {' in MHz                                         '}     {'STEPSIZE'}      {[    1.500000000000000]}       {' Frequency interval                       '}     {'MWPOWER'}   {[                    5]}                    {' in dBm                                         '}     {'NSCANS'}        {[                    5]}                    {' Total number of scan repetitions '}     {'EXPOSURE'}   {[                   20]}                     {' in ms                                            '}     {'FPS'}                {[ 20]}                                     {' no. of frames per second             '}     {'LEDCURR'}      {[    0.990000000000000]}      {' LED current in mA                        }     {'EXPTIME'}       {[1.942112698000000e+02]}  {' Measurement time in seconds    '}     {'END' }              {0×0 char               }                {0×0 char                                       } Table: Data file name and the associated current value set in the wire during the magnetic imaging measurement <table> <thead> <tr> <th>File name</th> <th>Current value (mA)</th> <th>File name</th> <th>Current value (mA)</th> </tr> </thead> <tbody> <tr> <td>f0.fits</td> <td>0</td> <td>f13.fits</td> <td>-300</td> </tr> <tr> <td>f1.fits</td> <td>+50</td> <td>f14.fits</td> <td>-550</td> </tr> <tr> <td>f2.fits</td> <td>+100</td> <td>f15.fits</td> <td>-250</td> </tr> <tr> <td>f3.fits</td> <td>-50</td> <td>f16.fits</td> <td>+550</td> </tr> <tr> <td>f4.fits</td> <td>-100</td> <td>f17.fits</td> <td>+350</td> </tr> <tr> <td>f5.fits</td> <td>-150</td> <td>f18.fits</td> <td>+400</td> </tr> <tr> <td>f6.fits</td> <td>+250</td> <td>f19.fits</td> <td>-400</td> </tr> <tr> <td>f7.fits</td> <td>+450</td> <td>f20.fits</td> <td>-450</td> </tr> <tr> <td>f8.fits</td> <td>+600</td> <td>f21.fits</td> <td>-500</td> </tr> <tr> <td>f9.fits</td> <td>-200</td> <td>f22.fits</td> <td>+150</td> </tr> <tr> <td>f10.fits</td> <td>-350</td> <td>f23.fits</td> <td>+300</td> </tr> <tr> <td>f11.fits</td> <td>+200</td> <td>f24.fits</td> <td>-600</td> </tr> <tr> <td>f12.fits</td> <td>+500</td> <td> </td> <td> </td> </tr> </tbody> </table> For more information on the data analysis methods and results, we recommend you to read the article.

opencc-by-nc-4.0Dec 2016View details →

Dataset supplementing the article A randomised controlled trial of Losartan as an anti-fibrotic agent in non-alcoholic steatohepatitis

These data supplement the article A randomised controlled trial of Losartan as an antifibrotic agent in non-alcoholic steatohepatitis. Stuart McPherson, Nina Wilkinson, Dina Tiniakos, Jennifer Wilkinson, Alastair Burt, Elaine McColl, Deborah D. Stocken, Nick Steen, Jane Barnes, Nicola Goudie, Stephen Stewart, Yvonne Bury5, Derek Mann, Quentin M. Anstee, Christopher P. Day. Use is free for academic purposes, provided the aforementioned article is appropriately cited. The data consists of anonymised csv data files, described in DataDictionaryFELINE.csv, the final protocol and a blank copy of the case report forms used (both pdf).

opencc-zeroJul 2017View details →

Data from: The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles

This is the raw data behind the publication: The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles. Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license. We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.

opencc-by-4.0Dec 2017View details →

Research Management Systems: Systematic Mapping of Literature (2007-2017) - Number of articles included during the search and qualitative evaluation process of the study

This image is uploaded as an integrated part of systematic mapping of literature "Research Management Systems: Systematic Mapping of Literature (2007-2017)". This image will be cited across all future publications related to this project as Attribution-NonCommercial-NoDerivatives 4.0 International image.