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4,404 results for “digits”
Dataset related to the article "Extraction-Free Absolute Quantification of Circulating miRNAs by Chip-Based Digital PCR"
<p>This record contains raw data related to the article "Extraction-Free Absolute Quantification of Circulating miRNAs by Chip-Based Digital PCR"</p> <p>Circulating microRNAs (miRNA) have been proposed as specific biomarkers for several diseases. Quantitative Real-Time PCR (RT-qPCR) is the gold standard technique currently used to evaluate miRNAs expression from different sources. In the last few years, digital PCR (dPCR) emerged as a complementary and accurate detection method. When dealing with gene expression, the first and most delicate step is nucleic-acid isolation. However, all currently available protocols for RNA extraction suffer from the variable loss of RNA species due to the chemicals and number of steps involved, from sample lysis to nucleic acid elution. Here, we evaluated a new process for the detection of circulating miRNAs, consisting of sample lysis followed by direct evaluation by dPCR in plasma from healthy donors and in the cardiovascular setting. Our results showed that dPCR is able to detect, with high accuracy, low-copy-number as well as highly expressed miRNAs in human plasma samples without the need for RNA extraction. Moreover, we assessed a known myocardial infarction-related miR-133a in acute myocardial infarct patients vs. healthy subjects. In conclusion, our results show the suitability of the extraction-free quantification of circulating miRNAs as disease markers by direct dPCR.</p>
Digital solutions and early warning system for decision support and risk management in water reuse for irrigation
<p>Video presentation for IWA World Water Congress & Exhibition, 11-15 September 2022, Copenhagen, Denmark.</p>
High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia
<p>This dataset contains the results of photogrammetric processing (Digital Elevation Models, Orthomosaics and subset data used for volumetric calculation and visualization) named: “DEM_1967.7z”: inside the zipped folder “1967_DEM.tif” (digital elevation model produced for the year 1967), “DEM_1984.7z”: inside the zipped folder “1984_DEM.tif” exist (digital elevation model produced for the year 1984). In addition, under “1967_Orthomosaic.7z" and "1984_Orthomosaic.7z” zipped folders, there are orthomosaic files produced namely, “1967_orthomosaic.tif” and "1984_orthomosaic.tif” for the year 1967 and 1984, respectively. The DEMs and Orthomosaics subset from the results for sites (data example 1 and data example 2) reside under "Data_Examples.zip". Accuracy of the resulted data were assessed and the extracted elevation values are under "Accuracy_assessment.zip". All DEMs and Orthomosaics are in GeoTIFF format in the Adindan UTM Zone 37 N (EPSG: 20137) projected coordinate system.</p> <p> Potential application of the presented dataset include:</p> <p>1. watershed management</p> <p>2. analyses of historical landscape change</p> <p>3. detailed mapping and analyses of geological and archaeological features, as well as natural resources</p> <p>4. analyses of geomorphological processes</p> <p>5. socioecological patterns and dynamics</p> <p>6. modelling and planning for telecommunications </p> <p>7. biodiversity research. </p> <p>The inputs for the above resulted DEMs and Orthomosaics are found under Zenodo repository "10.5281/zenodo.7271617". </p>
High-resolution digital elevation models and orthomosaics generated from historical aerial photographs (since the 1960s) of the Bale Mountains in Ethiopia
<p>This dataset contains the inputs used for Structure from Motion Multiview Stereo photogrammetry processing for the year 1967 and 1984 i.e Unprocessed scanned historical aerial Photographs, camera position coordinates, flight index and Ground Control Points. All the scanned historical aerial photographs data are in TIFF format except four photographs in JPEG format under a zipped folder ("1967_Scanned_HAPs_Part1.7z and 1967_Scanned_HAPs_Part2.7z" for the 1967 Historical Aerial Photographs and "1984_Scanned_HAPs_Part1.7z and 1984_Scanned_HAPs_Part2.7z" for the 1984 Historical Aerial Photographs). The "Flight_Index.Zip" contains shapefiles of the camera position and polygon of consecutive aerial photograph index; "GCP.Zip" contains text file of the GCPs used for the 1967 and 1984; and "Camera_Position.Zip" contains the file of the camera position (Label, Easting, Northing and Altitude) of each historical aerial photographs. </p> <p>The results of the above dataset could be accessible on Zenodo repository "10.5281/zenodo.7269999".</p> <p>Anyone can reuse the presented dataset to produce DEMs and Orthomosaics; and use for the following application areas:</p> <p>1. watershed management</p> <p>2. analyses of historical landscape change</p> <p>3. detailed mapping and analyses of geological and archaeological features, as well as natural resources</p> <p>4. analyses of geomorphological processes</p> <p>5. socioecological patterns and dynamics</p> <p>6. modelling and planning for telecommunications </p> <p>7. biodiversity research. </p> <p> </p>
The digital workflow and the IIIF initiatives at the Vatican Library
<p>The presentation focuses on:<br> 1) the digital workflow for long-term preservation and the web dissemination of the Vatican Digital Library.<br> 2) the Library's IIIF initiatives and the implementation of the "Thematic Pathways on the Web: IIIF annotations of manuscripts from the Vatican collections".</p>
The use of digital technologies among older adults during the COVID-19 Pandemic: A descriptive study in Turkey
<p>Data set from the article "The use of digital technologies among older adults during the COVID-19 Pandemic: A descriptive study in Turkey"</p>
Digitizations of seesaw propagating ridges
<p>Digitizations of mid-ocean ridge features in support of "Ridge propagation and the stability of small mid-ocean ridge offsets" by Harper et al., (in prep).</p> <p>Vertical-Gravity-Gradient.kmz is a Google Earth network link to a global vertical gravity gradient image overlay. This was used to identify and digitize features.</p> <p>Digitizations.kmz contains the polyline digitizations of: off-axis traces of seesaw propagators (SSPs); ridge segments and offsets associated with active SSPs; and ridge segments and offsets associated with transform fault offsets (in the same regions as SSPs).</p>
Digital Commensality data-set
<p>The Digital Commensality Data-set consists of facial activity data of 11 pairs of persons sharing a meal online through a videoconferencing software and self-reported qualitative and qualitative measures of their commensal experience (Computer-Mediated Communication questionnaire and Digital Commensality questionnaire). Facial activity data is extracted using the OpenFace tool.</p> <p>If you use this data-set for the uses allowed in the license, e.g., research purposes, please add the following citation:</p> <p>Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. <em>Frontiers in Psychology</em>, <em>13</em>.</p> <p>https://doi.org/10.3389/fpsyg.2022.911000</p>
Run of digital pathology tissue/tumor prediction workflow
<p>This dataset is an <a href="https://www.researchobject.org/ro-crate/">RO-Crate</a> representation of an execution of the tissue/tumor prediction workflow for digital pathology from <a href="https://github.com/crs4/deephealth-pipelines/tree/c54840df08742e3aa454394e0e74d15fbd640f07">crs4/deephealth-pipelines</a>. It follows the <a href="https://w3id.org/ro/wfrun/provenance/0.1">Provenance Run Crate</a> profile. The workflow has been run with <a href="https://github.com/common-workflow-language/cwltool/tree/3.1.20230213100550">cwltool</a>, using the --provenance option to generate a <a href="https://doi.org/10.1093/gigascience/giz095">CWLProv</a> RO bundle, and then converted to an RO-Crate using <a href="https://github.com/ResearchObject/runcrate/tree/755fb7f0a8ba6fc238a2cb7a3218175644eb78b5">runcrate</a>. The input dataset is <a href="https://openslide.cs.cmu.edu/download/openslide-testdata/Mirax/Mirax2-Fluorescence-2.zip">Mirax2-Fluorescence-2</a> by Yves Sucaet, from the <a href="https://openslide.cs.cmu.edu/download/openslide-testdata/Mirax/">MIRAX test data</a>.<br> </p>
The state of digital archaeological archiving policies and practice [questionnaire survey results]
<p>The digital transition in archaeology is often taken for granted, yet the process is far from complete. The topic of digital archiving has been addressed by both the EAC Working Group for Archaeological Archives and the SEADDA project. These two entities joined forces to produce a special issue of the Internet Archaeology journal, bringing together papers on digital archiving practices in over two dozen countries (Richards et al. 2021). The papers were later analysed by EAC and SEADDA to compare the international situation. The results reveal both shared difficulties associated with the issue of documentary archives worldwide and examples of good practices that help to overcome these problems.</p> <p>A questionnaire survey was also carried out to complement the findings resulting from the interpretation of the published articles with supporting data covering the whole European area in a balanced way. The survey allowed for the compilation of an overview of the situation in 27 countries (30 regions) of Europe. All respondents were experts involved in digital archiving and/or heritage data management in individual countries. Based on the collected information, the disproportion in value of archaeological data and their position within heritage management practice is already proving to be a major shortcoming. Presented dataset contains the questionnaire and the survey results, serving as complementary material to the published interpretation (Novák et al. <em>forthcoming</em>).</p> <p>References:</p> <p>Novák, D. - Oniszczuk, A. - Gumbert, B. <em>forthcoming</em>: Digital archaeological archiving policies and practice in Europe: the EAC call for action. Internet Archaeology 63. <a href="https://doi.org/10.11141/ia.63.7">https://doi.org/10.11141/ia.63.7</a></p> <p>Richards, J.D., Jakobsson, U., Novák, D., Štular, B. and Wright, H. 2021: Digital Archiving in Archaeology: The State of the Art. Introduction, Internet Archaeology 58. <a href="https://doi.org/10.11141/ia.58.23">https://doi.org/10.11141/ia.58.23</a></p>
Interview guide from the paper "Act Against the Aggression A Preliminary Model of a Digital Platform Aimed at Cyberaggressions in the Portuguese University Environment"
<p>Interview guide used in the study "Act Against the Aggression A Preliminary Model of a Digital Platform Aimed at Cyberaggressions in the Portuguese University Environment".</p>
46 - Revista Digital do Laboratório de Artes Visuais
<p>Planilha utilizada na tese intitulada "<strong>Avaliação de periódicos na Área da Educação: índice de citação e características citacionais", </strong>a qual foi desenvolvida no Programa de Pós-Graduação da Pontifícia Universidade Católica do Paraná, com a orientação da professora Doutora Alboni Marisa Dudeque Pianovski Vieira. A tese foi defendida em 24 de fevereiro de 2023.</p> <p>Esse material pertence a um conjunto de 60 periódicos analisados e uma planilha matriz com todos os resultados quantitativos e gráficos. A descrição dessa planilha é a seguinte:</p> <ul> <li>Os dados foram organizados, coletados e descritos em planilhas do Microsoft Excel.</li> <li>A busca foi feita para catalogar as características de citação de periódicos da Área da Educação pertencentes ao Fórum de Editores de Periódicos da Área de Educação da Região Sul (FEPAE-Sul).</li> <li>Foi delimitado para 15 artigos (quando havia) para casa primeira publicação do periódico ou, no caso do fluxo contínuo, os 15 primeiros artigos foram usados.</li> <li>A organização da planilha consiste no ano de publicação, número de organização dos artigos utilizados, título do artigo analisado, ano da referência, se a referência é nacional (N) ou internacional (I) e a descrição do tipo de referência.</li> <li>Em cada planilha possui análise dos anos de 2019, 2020 e 2021 com coletas e descrição.</li> </ul>
Digital Twin of a Multi-Arm Robot Platform based on Isaac Sim for Synthetic Data Generation
<p>This data set is required by the following repository<br> https://github.com/AISciencePlatform/icra2023_synthetic_data_pretraining_for_robotics</p>
The Hierarchical Task data in Digital Twin Railway Systems
<p>Data sets for simulating hierarchical<strong>-</strong>task scheduling in cloudSim for digital twin railway system, with the number of tasks ranging from 100 to 1500</p>
Acoustical-electrical models of tight rocks based on digital rock physics and double-porosity theory
<p>These data are the compressional-wave waveform and electrical and CT data obtained by Ba et al. through ultrasonic experimental and conductivity and CT scan measurements on tight-oil rocks.</p> <p>Details are given in the uploaded introduction document regarding the format of dataset.</p>
StreamFlow run of digital pathology tissue/tumor prediction workflow
<p>This dataset is an <a href="https://www.researchobject.org/ro-crate/">RO-Crate</a> representation of an execution of the tissue/tumor prediction workflow for digital pathology from <a href="https://github.com/crs4/deephealth-pipelines/tree/c54840df08742e3aa454394e0e74d15fbd640f07">crs4/deephealth-pipelines</a>. It follows the <a href="https://w3id.org/ro/wfrun/provenance/0.1">Provenance Run Crate</a> profile. The workflow has been run with <a href="http://streamflow.di.unito.it">StreamFlow</a>, using the following commands to produce an RO-Crate bundle:</p> <pre><code class="language-bash"># Run the pipeline streamflow run \ --name ml-predict-pipeline-streamflow \ streamflow.yml # Generate the RO-Crate bundle streamflow prov \ --add-file src=README.md,dst=/README.md,about="{\"@id\":\"./\"}",encodingFormat=text/markdown \ --add-property \./.license=https://spdx.org/licenses/MIT \ --add-property \./.name="DeepHealth Pipeline" \ --add-property \./.description="Run of digital pathology tissue/tumor prediction workflow" \ --file streamflow.yml \ ml-predict-pipeline-streamflow</code></pre> <p>The input dataset is <a href="https://openslide.cs.cmu.edu/download/openslide-testdata/Mirax/Mirax2-Fluorescence-2.zip">Mirax2-Fluorescence-2</a> by Yves Sucaet, from the <a href="https://openslide.cs.cmu.edu/download/openslide-testdata/Mirax/">MIRAX test data</a>.</p>
Machine-actionable data descriptions for Austria's digital landscape model
<p>The digital landscape model (DLM) is a compilation of several data sets that, among other things, form the data basis for official maps. It covers a variety of the 34 themes of the EU directive INSPIRE. The introduction of these themes enriched the metadata and made similar datasets easier to find. Unfortunately, the competent authority (BEV) only provides the associated data descriptions as a PDF export of an Excel spreadsheet without translations. This dataset contains the raw data and visualizations.</p>
Data obtained during classification of intertidal habitats using UAV imagery in the Galapagos Archipelago (Orthophotos, digital elevation models (DEM) and orthophoto-draped 3D models)
<p>In the repository 5 folders exist. 1) Digital elevation models (DEMs), 2) Intertidal habitat map, 3) Othophoto draped 3D models, 4) Orthophotos, and 5) Processing reports. The data has been collected in Puerto Ayora at Santa Cruz in August 2017, the most urbanized island of the Galapagos Archipelago. The purpose of this study was to investigate the image classification opportunities for these intertidal habitats using Uncrewed Aerial Vehicle (UAV) imagery. This dataset is cited in an open-access publication: https://doi.org/10.3390/drones7070416. </p>
Digital Appendix of "Continuous Rationale Management" Doctoral Thesis
<p>Digital appendix to the doctoral thesis "Continuous Rationale Management".</p> <p>Kleebaum A <strong>Continuous Rationale Management</strong> PhD Thesis, Heidelberg University, Germany, 2023, <a href="https://doi.org/10.11588/heidok.00033470">https://doi.org/10.11588/heidok.00033470</a></p> <p>The appendix contains the following artifacts for the chapters:</p> <ul> <li>Chapter 4: Protocol of systematic mapping study and R script for analysis.</li> <li>Chapter 9: Anonymized decision knowledge documentation of the case study projects and R script for analysis.</li> <li>Chapter 10: Ground truth data used to evaluate the automatic text classification.</li> <li>Chapter 11: R script for analysis of usage frequencies from log files.</li> </ul> <p>The source code of the ConDec plug-ins is published as follows:</p> <ul> <li>ConDec Jira: <a href="https://doi.org/10.5281/zenodo.7953646">https://doi.org/10.5281/zenodo.7953646</a></li> <li>ConDec Confluence: <a href="https://doi.org/10.5281/zenodo.7948296">https://doi.org/10.5281/zenodo.7948296</a></li> <li>ConDec Bitbucket: <a href="https://doi.org/10.5281/zenodo.6866299">https://doi.org/10.5281/zenodo.6866299</a></li> <li>ConDec Eclipse: <a href="https://doi.org/10.5281/zenodo.7958350">https://doi.org/10.5281/zenodo.7958350</a></li> <li>ConDec Visual Studio Code: <a href="https://doi.org/10.5281/zenodo.7954331">https://doi.org/10.5281/zenodo.7954331</a></li> <li>ConDec Slack: <a href="https://doi.org/10.5281/zenodo.7955051">https://doi.org/10.5281/zenodo.7955051</a></li> </ul> <p>The respective binary releases are provided in GitHub: <a href="https://github.com/cures-hub">https://github.com/cures-hub</a></p>
Prochlorococcus marinus digital microbe
<p>This is the digital microbe describing the model organism Prochlorococcus marinus MIT 9301. The data includes:</p> <p>- (P_MARINUS_MIT9301-contigs.db) the complete genome sequence of P. marinus MIT 9301, along with NCBI PGAP gene annotations and automatically-generated annotations from NCBI COGs, KEGG KOfam/BRITE, Pfams, and anvi'o single-copy core gene sets.</p> <p>- (P_marinus_reproducible_workflow.md) a reproducible workflow describing how the database was generated.</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.