Find research datasets worth reusing

openmit-licenseJul 2023View details →

Dataset and code: The environmental sustainability of digital content consumption

Repository to share the code used in the scientific article Istrate et al., The role of digital content consumption in environmentally sustainable lifestyles. The repository contains data files and tailored notebooks to create the LCI database and reproduce the results presented in the article.

opencc-by-4.0Jul 2023View details →

Spatial models of topsoil properties in Romania using digital soil mapping techniques

The database includes the selected spatial models of soil variables for the Romanian territory derived by digital soil mapping techniques, accepted for publication in: Cristian Valeriu Patriche, Bogdan Roșca, Radu Gabriel Pîrnău, Ionuț Vasiliniuc, Spatial modelling of topsoil properties in Romania using geostatistical methods and machine learning, PLOS ONE, 2023 The database includes the selected spatial models of soil variables for the Romanian territory derived by digital soil mapping techniques. The file names indicate the soil variable and the method used for interpolation (RK – regression - kriging, EML – ensemble machine learning, GWR_OK – Geographically Weighted Regression – Ordinary kriging). The raster data is classified and saved in tif format with a resolution of 100 x 100 m. The spatial reference is Stereographic projection 1970 (Pulkovo_1942_Adj_58_Stereo_70). The soil variables are classified as follows: <table> <tbody> <tr> <td> Variable </td> <td> Classes </td> </tr> <tr> <td> 1 </td> <td> 2 </td> <td> 3 </td> <td> 4 </td> <td> 5 </td> <td> 5 </td> <td> 7 </td> </tr> <tr> <td> pH </td> <td> ≤ 5 (strongly acid) </td> <td> 5.1 – 5.8 (moderately acid) </td> <td> 5.9 – 6.8 (weakly acid) </td> <td> 6.9 – 7.2 (neutral) </td> <td> 7.3 – 8.4 (weakly alkaline) </td> <td> 8.5 – 8.8 (moderately alkaline) </td> <td>   </td> </tr> <tr> <td> EC (mS m-1) </td> <td> ≤ 12.75 </td> <td> 12.76 – 16.49 </td> <td> 16.50 – 20.04 </td> <td> 20.05 – 24.18 </td> <td> 24.19 – 29.11 </td> <td> 29.12 – 35.23 </td> <td> ≤ 35.24 </td> </tr> <tr> <td> OC (g kg-1) </td> <td> < 7.5 (very low) </td> <td> 7.5 – 17.4 (low) </td> <td> 17.4 – 37.8 (moderate) </td> <td> 37.8 – 61.0 (high) </td> <td> > 61 (very high) </td> <td>   </td> <td>   </td> </tr> <tr> <td> CaCO3 (g kg-1) </td> <td> 0 (no carbonates) </td> <td> 1 – 10 (low) </td> <td> 11 – 40 (medium 1) </td> <td> 41 – 80 (medium 2) </td> <td> 81 – 107 (medium 3) </td> <td>   </td> <td>   </td> </tr> <tr> <td> P (mg kg-1) </td> <td> < 4 (extremely low) </td> <td> 4 – 8 (very low) </td> <td> 8 – 18 (low) </td> <td> 18 – 36 (medium) </td> <td> 36 – 72 (high) </td> <td> > 72 (very high) </td> <td>   </td> </tr> <tr> <td> N (g kg-1) </td> <td> ≤ 1 (very low) </td> <td> 1.1 – 1.4 (low) </td> <td> 1.5 – 2.0 (medium 1) </td> <td> 2.1 – 2.7 (medium 2) </td> <td> 2.8 – 6.0 (high) </td> <td> > 6 (very high) </td> <td>   </td> </tr> <tr> <td> K (mg kg-1) </td> <td> ≤ 40 * (extremely low) </td> <td> 41 – 65 * (very low) </td> <td> 66 – 130 (low) </td> <td> 131 – 200 (medium) </td> <td> 201 – 300 (high) </td> <td> > 300  (very high) </td> <td>   </td> </tr> <tr> <td> Clay (%) </td> <td> ≤ 25  (low 1) </td> <td> 26 – 32 (low 2) </td> <td> 33 – 40 (medium 1) </td> <td> 41 – 45 (medium 2) </td> <td> ≥ 46  (high) </td> <td>   </td> <td>   </td> </tr> <tr> <td> Silt (%) </td> <td> < 25 (medium 1) </td> <td> 25 – 32 (medium 2) </td> <td> 33 – 40 (high 1) </td> <td> 41 – 50 (high 2) </td> <td> > 50 (high 3) </td> <td>   </td> <td>   </td> </tr> <tr> <td> Sand (%) </td> <td> < 15 (low 1) </td> <td> 15 – 25 (low 2) </td> <td> 26 – 35 (low 3) </td> <td> 36 – 56 (medium) </td> <td> > 56 (high) </td> <td>   </td> <td>   </td> </tr> </tbody> </table>   * classes not present on the Romanian territory

opencc-by-4.0Jul 2023View details →

"Canvas BM" Digital Business Model Template Repository

The Digital Business Model Template Repository consists of 265 unique one-page, diverse business model compositions, constructed as variants or adaptations based on the reference Business Model Canvas (BMC) created by A. Osterwalder. Business Model Canvases are templates composed of key blocks (elements) of the business model, which are interconnected and ready to be filled with content. The process of acquiring templates through quantitative, and then qualitative research, was conducted from November 2020 to October 2022. Each identified template was verified for compliance with licensing rights. The thematic repository should be treated as a business guide, aiding in the selection of suitable tools for designing business models for specific organizations, as well as in the process of creating, analyzing, and modifying business model templates. The Digital Business Model Template Repository can be useful in both a scientific, research, didactic, and individual context, and can also be beneficial in business practice.

opencc-by-4.0Mar 2023View details →

Numerical simulations and experimental measurements of the ULB semi-industrial furnace for the development of a Digital Twin

This dataset contains the numerical and experimental data used to build the Digital Twin in Aversano et al. (https://doi.org/10.1016/j.proci.2020.06.045) and the adaptive Digital Twin in Procacci et al. (https://doi.org/10.1016/j.proci.2022.07.029). The directory "Numerical_data" includes 45 text files containing the data coming from the CFD simulations of the ULB furnace.  In each file, for each computational cell the features reported are:   - the cell's position in x, y, z coordinates and in meters.  - the cell's temperature in K.   - the cell's species mass fraction of NO (mf-pollut-pollutant-0), CO, OH, H2, H2O, CO2, O2, CH4. The details of the setup of the numerical simulations are reported in Aversano et al. The numerical simulations have been computed for different values of the equivalence ratio (phi), blend of H2-CH4 (H2) and  inlet diameter (D). The simulations for different inlet diameter where computed using different meshes, with slightly different numbers of cells. In the file 'cases_parameters.csv', the value of the parameters is reported for of each simulation. There is a  discrepancy between the naming of the simulations in Aversano et al. and the one used in naming the files, so both are reported. The experimental measurements used to validate the numerical simulations can be found in the directory "Experimental_data". Each file contains the value of the measured temperature along with the position in x and z in meters (y being 0). The temperature is in K. The experimental uncertainty is estimated at 10 K. The file 'grid.vtu' contains the computational grid used to solve the CFD simulations. It can be opened using VTK-based software  such as Paraview or Pyvista. Changelog: - In version V1, some simulations were corrupted during data export. - Added the grid file in V3

opencc-by-4.0Oct 2023View details →

Catalogue of tools for digital scholarly editing

This dataset is a catalogue of software products and computer tools that can be used to create digital scholarly editions (DSE). The catalogue includes both tools specifically designed for use in the field of digital philology, mostly created by scholars and researchers in the field, and general-purpose tools that have been widely adopted in this field. For each tool, the following information is presented: <ul> <li> “Name”: the name of the tool. </li> <li> “Website”: the address of the official website, repository, or wiki that the creators of the tool offer as a showcase to learn about the tool. </li> <li> “Category”: one of the three macro-categories identified during the creation of the catalogue: “Visualization”, tools intended exclusively for the visualization (or publication) of a DSE; “Mixed”, tools that can be used for both processing and publishing a DSE; and finally, “Production”, tools that can replace or complement the philologist in a particular phase of the editorial process. The distinction between the proposed categories is not always clear-cut; tools have generally been categorized based on their main functionalities and the type of output or result they allow to obtain. A tool is categorized as either for visualization or mixed when it allows the production of a result that can be defined as a digital scholarly edition. </li> <li> “TaDiRAH activity”: one or more of the activities listed in the <a href="https://vocabs.dariah.eu/tadirah/en/">TaDiRAH taxonomy</a> that best describe the main functionalities of the tools. </li> <li> “Begin date”: the date in which the first public version of the tool was released. In cases where the tool was produced experimentally without reaching an official first version, the date of creation of the respective source code repository or the date indicated by the creator as the creation date on the website or in a publication is considered. When only the year is available the date is set on January first of that year. Respectively, when only the year and month are available, the date is set on the first day of the month. </li> <li> “End date”: the date in which the development of the tool was discontinued. When only the year is available the date is set on January first of that year. Respectively, when only the year and month are available, the date is set on the first day of the month. </li> <li> “Description”: a more or less brief text used on the website, repository, or wiki of the tool to present it to potential users. It is a more “commercial” than technical text, as its purpose is to encourage the use of the tool, and it briefly describes the main features and characteristics of the tool, with references to partner organizations. The description is included because it is interesting to analyze the words with which the creator presents their tool. </li> <li> “Institutional Partner(s)”: organizations that financially contributed to the development of the tool. These can be universities, research centers, cultural institutions, public projects, and funds. Since many of these funds are time-limited, I chose to include this information as it helps understand how stable a tool is in terms of development, maintenance, and user support. </li> <li> “Creator”: the name of the creator or creators of the tool. In the case of commercial software, the name of the company that produced it is provided. Similarly, if the tool was produced by a research center, a collective, or another type of group with an official name, the group’s name is provided. If the tool was created by one or more scholars, their respective names and affiliations are indicated. </li> <li> “Input Format(s)”: the various formats accepted by the tool as input. In some cases, it is not possible to obtain exact formats, as official sources indicate “text” or “image” generically. In these cases, the most commonly used formats, which are likely supported, are listed: TXT for text and JPEG for images. </li> <li> “Output Format(s)”: the output formats in which the tool allows exporting the DSE or other types of data. It should be noted that some tools, especially among mixed or visualization-only ones, do not provide data export. </li> <li> “Technologies”: programming languages, tools, libraries, and frameworks used to develop the tool. Some of the listed tools have been integrated into other tools (for example, OpenSeadragon and VisColl have been integrated into EVT). </li> <li> “System requirements”: indicates the nature of the tool, such as desktop software, a web-based service, a library, a web-based application, etc., and system requirements (e.g. compatible operating systems). </li> <li> “Collaborative working": indicates whether the tool is designed for collaborative work, allowing multiple users to work simultaneously on the same materials. </li> <li> “Open Source”: indicates whether the source code of the tool is freely accessible. </li> <li> “Repository”: the address of the repository where the source code of the tool is stored. </li> <li> “License”: the license under which the tool is available. If the tool is available for a fee, it is indicated as “for a fee”. If the tool is free but the exact open-source license is not specified, the license is simply marked as “Free”. </li> <li> “Current Version”: the number of the latest publicly released version of the tool. </li> <li> “Editions”: the titles of DSEs that have been created using the tool. This field is very useful for potential user-editors as it allows them to see concretely how a DSE is presented thanks to the tool and/or what scientific results the tool enables. The names are hyperlinks to the respective official websites of the DSEs. </li> <li> “Publications”: bibliographic references to publications in which the creators present their tool or other scholars review or report their experience using the software with a concrete use case. </li> </ul> For many tools, it was not possible to provide all the above-listed information, either because it was not available in official sources (primarily websites and repositories) or because it was not possible to identify updated and reliable bibliographic sources. The omission of information does not imply that it cannot be obtained through further in-depth study or by contacting the creators themselves. Furthermore, the information may no longer be up-to-date or valid; for example, hyperlinks to websites may no longer be active. The catalogue is not exhaustive, as it mainly includes tools produced in Italy, Europe, and the United States. The main objective of the work is to provide an initial overview of tools for digital philology, albeit partial and incomplete, and to propose useful categories for analyzing and classifying these tools from the perspective of user-editors who wish to create an DSE. This review constitutes the starting point for a larger research project that I would like to undertake in the future, namely, creating a catalog of computer tools for digital philology. I would like to thank Professors Roberto Rosselli Del Turco and Lino Leonardi for providing references to several of the analyzed tools. The list is also <a href="https://airtable.com/appmd2Z1LsaYMaYEF/shrb1dVa8QsJ4P8Ga">available for consultation online</a>.

opencc-by-4.0Sep 2023View details →

Datasets for the article "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology"

These files contain the datasets related to the figures presented in the article Donadello et al. (2023) "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology", IEEE Transactions on Instrumentation and Measurement, 72, pp. 1–12, Article Sequence Number: 2005412. Available at: https://doi.org/10.1109/TIM.2023.3288255. Each dataset is related to the respective figure number in the article, as indicated in the filename (e.g. "data_fig3a.csv" contains the data used to produce Fig. 3, subplot a). All the files are formatted in the comma-separated format. Description: "data_fig3a.csv": coefficients for IQ demodulation and filtering, with f_int=200kHz. "data_fig3b.csv": frequency response of demodulation filtering, with f_int=200kHz and f_int=10kHz. "data_fig4a.csv": power spectral density (PSD) of frequency signals, at different signal amplitudes. "data_fig4b.csv": overlapping Allan deviation of frequency signals, with either OCXO and maser references. "data_fig4c.csv": measured signal frequency and amplitude as a function of nominal frequency deviation. "data_fig4d.csv": measured signal amplitude as a function of nominal amplitude. "data_fig5.csv": example signals related to the synchronized acquisition of RF inputs. "data_fig7a.csv": synchronized time series of frequency deviation acquired over a fiber link in the self-heterodyne interference scheme. "data_fig7b.csv": PSD of the frequency signals acquired over a fiber link in the self-heterodyne interference scheme. "data_fig8a-without-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme without frequency drift correction. "data_fig8a-with-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme with frequency drift correction. "data_fig8b.csv": PSD of the frequency signals acquired over a fiber link in the heterodyne interference scheme.

openCustomJul 2005View details →

30 meter digital elevation model (DEM) clipped to the Andrews Experimental Forest, 1996

Elevation Model for the HJ Andrews Experimental Forest (30 meter DEM). This dataset includes the raw DEM, and several value added products. The products are contour lines, aspect, percent slope, and a hill shade for relief mapping.

openCustomJun 2005View details →

10 meter digital elevation model (DEM) clipped to the Andrews Experimental Forest, 1998

A Digital Elevation Model (DEM) is a digital data file containing an array of elevation information over a portion of the earth's surface. This array is developed using information extracted from digitized elevation contours from Primary Base Series (PBS) maps. FSTopo or PBS are 1:24,000 scale topographic maps. This dataset is a digital elevation model grid at a resolution of 10 meters by 10 meters. The data was originated from 1:24,000 scale topographic maps (primarily contours). The base data is in the form of an esri lattice file. Derived datasets include generated contours at 10, 25, and 50 meter intervals, degree slope, aspects, and a hillshade for topographic visualization.

openOpenMar 2010View details →

Caribou Poker Creek Research Watershed GIS Data: Digital Elevation Model (DEM)

This file contains one of many raster grids of the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The filled DEM grid was created from the original elevation data by filling all of the depressions, or sinks, in the original DEM. To create this grid, an algorithm was used to loacted and fill all depressions or sinks where there was no flow from pixel to pixel. During this process, efforts were made to maintain natural sink features. Originator: U.S. Geological Survey. Publication_Date: 2006. Title: cpcrw_dem.tif. Edition: Stage I Data. Geospatial_Data_Presentation_Form: Remote-sensing image. Series_Information: Series_Name: Elevation Derivatives for National Applications (EDNA). Publication_Information: Publication_Place: USGS EROS, Sioux Falls, South Dakota. Publisher: U.S. Geological Survey.

openOpenMar 2010View details →

Bonanza Creek Experimental Forest GIS Data: Digital Elevation Model (DEM)

This file contains one of many raster grids of the Elevation Derivatives for National Applications (EDNA), a multi-layered database that provides systematic and consistent topographically-derived hydrologic derivatives. The filled DEM grid was created from the original elevation data by filling all of the depressions, or sinks, in the original DEM. To create this grid, an algorithm was used to loacted and fill all depressions or sinks where there was no flow from pixel to pixel. During this process, efforts were made to maintain natural sink features. Originator: U.S. Geological Survey. Publication_Date: 2006. Title: bcef_dem.tif. Edition: Stage I Data. Geospatial_Data_Presentation_Form: Remote-sensing image. Series_Information: Series_Name: Elevation Derivatives for National Applications (EDNA). Publication_Information: Publication_Place: USGS EROS, Sioux Falls, South Dakota. Publisher: U.S. Geological Survey.

openCustomJan 2020View details →

June - December 2009 RTK survey of salt marsh plant ground elevations to assess the accuracy of a LIDAR-derived digital elevation model.

Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from June to December 2009 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 1389 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes.

openCC (other)Jan 2020View details →

Digital Elevation Model - Ipswich Watershed - Idrisi Raster File.

This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This is Digital Elevation Model data for the study area, in a 30-meter grid. The source elevation tile data was provided on the MassGIS website www.state.ma.us/mgis/massgis.htm in ESRI-format shapefile format and imported into IDRISI software using the ShapeIdr command. The resulting vector elevation files were converted to raster format using successive Lineras macro commands. This has the effect of mosaicing the tiles as well. The raster image was filtered once using a low-pass (mean) filter, then masked to the Ipswich study area parameters (extent). This datalayer was produced as part of a research project concerning the Ipswich River Watershed.

openCC (other)May 2022View details →

Lidar digital elevation models and topographic change detection results from burned and unburned plots in the Sevilleta LTER.

These data were generated as part of a research project focused on montiroing sediment flux in dryland ecosystems following wildfire. In six separate small plots, three burned and three unburned, we conducted light detection and ranging (lidar) topographic surveys in 2016, 2017, and 2018 to document elevation changes and the volume of sediment deposition and erosion. At the down-wind edge of each plot, we used sediment catchers to trap sediment exiting the plots and thus estimate erosion volumes using in-situ equipment, which provided a secondary measurement of sediment efflux from all sites in addition to the lidar data. We used the geomorphic change detection software (https://gcd.riverscapes.xyz/) to produce maps of topographic change from the lidar digital elevation models for the 2016-2017 and 2017-2018 periods at all plots, burned and unburned. Results from this project may aid in understanding post-fire transport of sediment and nutrients from drylands following wildfire.

opencc-zeroSep 2019View details →

FIG. 11. — A in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities

FIG. 11. — A, logo of D'Artagnan Foods Inc. Image via Wikimedia Commons; B, poster of campaign to stop the expansion of foie gras industry in China (https:// safarus.wordpress.com/2012/03/24/chinese-activists-call-for-boycott-of-the-largest-foie-gras-farm, last consultation: 06/09/2019).

opencc-by-4.0Apr 2020View details →

10 Women of Digital Humanities: An Analysis of Linked Open Data

This is a spreadsheet of linked open data, including tweets of the 10 female scholars randomly chosen for this project. This is an experimental study, and was prepared for my own learning. Presentation prepared for a Masters seminar in Information Science at uOttawa in Winter 2020.  Linked Open Data in the Humanities was taught by Prof. Constance Crompton. 10 Women of Digital Humanities: An Analysis of Linked Open Data tags: dh, digital humanities, feminist dh, computational analysis, Voyant, word clouds, vizualization, digital identifiers, open scholarship

opencc-by-4.0Jul 2020View details →

Data and R code for the revised manuscript "Downscaling digital soil maps using electromagnetic induction and aerial imagery"

Data and R code for the revised manuscript "Downscaling digital soil maps using electromagnetic induction and aerial imagery". This is the code for the revised version of the manuscript, after adressing comments from reviewers. The data and code for the preprint, before submission to peer review (Møller et al., 2020), is available at <a href="https://doi.org/10.5281/zenodo.3699130">https://doi.org/10.5281/zenodo.3699130</a>. The R code was written for R version 3.6.3. References Møller, A.B., Koganti, T., Beucher, A., Iversen, B.V. and Greve, M.H., 2020. Downscaling digital soil maps using electromagnetic induction and aerial imagery. EarthArXiv. <a href="http://dx.doi.org/10.31223/osf.io/a7xz6">http://dx.doi.org/10.31223/osf.io/a7xz6</a>. [preprint]

opencc-by-4.0Sep 2020View details →

Data Lakes for Digital Humanities

Traditional data in Digital Humanities projects bear various formats (structured, semi-structured, textual) and need substantial transformations (encoding and tagging, stemming, lemmatization, etc.) to be managed and analyzed. To fully master this process, we propose the use of data lakes as a solution to data siloing and big data variety problems. We describe data lake projects we currently run in close collaboration with researchers in humanities and social sciences and discuss the lessons learned running these projects.

opencc-by-4.0Oct 2020View details →

Data for the Paper "Digital color codes of stars"

Data for the paper "Digital color codes of stars" by Jan-Vincent Harre and René Heller. Our code "spec2col.py" can be found at <a href="https://github.com/janvincentharre/spec2col">GitHub</a>.

opencc-zeroSep 2019View details →

List of Digital Humanities journals

The dataset contains a list of Digital Humanities journals.  It contains: an arbitrary identified, electronic and print ISSN (when it exists), the title, the URL, a column describing the level of digital humanities publications that it stores.  The DH level field may have four values: <ol> <li>Exclusively (the journal is completely devoted as publishing Digital Humanities articles)</li> <li>Significantly (a significant set of publications deal with Digital Humanities)</li> <li>Marginally (only a small set of publications are Digital Humanities)</li> <li>Mega-journal </li> </ol>